diff --git a/DESCRIPTION b/DESCRIPTION index 45ea228..009d45c 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,6 +1,6 @@ Package: owdata Title: Index of openwashdata R Data Packages -Version: 0.1.0 +Version: 0.1.0.9000 Authors@R: c( person("Lars", "Schöbitz", , "lschoebitz@ethz.ch", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-2196-5015")), @@ -27,7 +27,7 @@ Imports: Language: en-GB LazyData: true Config/Needs/website: rmarkdown, brand.yml -Date: 2026-09-09 +Date: 2026-09-28 BugReports: https://github.com/openwashdata/owdata/issues Config/Needs/harvest: desc, cffr, gh, jsonlite Depends: diff --git a/R/sysdata.rda b/R/sysdata.rda index b2f8bf6..076c2eb 100644 Binary files a/R/sysdata.rda and b/R/sysdata.rda differ diff --git a/data-raw/harvest_report.md b/data-raw/harvest_report.md index 0e0b6b2..171283c 100644 --- a/data-raw/harvest_report.md +++ b/data-raw/harvest_report.md @@ -1,16 +1,31 @@ # Harvest report -Run: 2026-09-09T14:03:57Z (backend: github) +Run: 2026-09-28T09:28:33Z (backend: github) -Packages: 64 (32 published). Datasets: 53. Variables: 2798. +Packages: 58 (49 published). Datasets: 76. Variables: 2656. ## Deltas since previous committed run -None. +- published change: basisghana FALSE -> TRUE +- published change: boreholelabdata FALSE -> TRUE +- published change: chckapmalawi FALSE -> TRUE +- published change: cleanteamghana FALSE -> TRUE +- published change: dowaodfsurvey FALSE -> TRUE +- published change: drillingdata FALSE -> TRUE +- published change: floodresponsemw FALSE -> TRUE +- published change: grdwtrsmpkwale FALSE -> TRUE +- published change: gwinfraassess FALSE -> TRUE +- published change: handpumpstatusdata FALSE -> TRUE +- published change: mwefloodresponse FALSE -> TRUE +- published change: mwgroundwaterdata FALSE -> TRUE +- published change: nchalohhwatersurvey FALSE -> TRUE +- published change: portawaterperu FALSE -> TRUE +- published change: rainwaterhsurvey FALSE -> TRUE +- published change: thyolocbcc FALSE -> TRUE +- published change: universityrankingafrica FALSE -> TRUE +- published change: waterpointstatus FALSE -> TRUE +- packages dropped from catalog: ploswater, washdataportalsl, wasteburningblantyre, wastecollectionblantyre, whatawaste, whdxdata ## Problems -- grdwtrsmpkwale [warn]: version drift: DESCRIPTION 0.0.1 vs CITATION.cff 0.0.0.9000 -- portawaterperu [warn]: version drift: DESCRIPTION 0.0.1 vs CITATION.cff 0.0.0.9000 -- hydrogeologicalghana [warn]: DESCRIPTION URL does not mention https://github.com/openwashdata/hydrogeologicalghana -- waterpointstatus [warn]: normalized malformed version 'v1.0.0' +None. diff --git a/data-raw/packages.json b/data-raw/packages.json index 96cabde..7f27243 100644 --- a/data-raw/packages.json +++ b/data-raw/packages.json @@ -3,6 +3,10 @@ "package": "artesianwells", "url": "https://github.com/openwashdata/artesianwells" }, + { + "package": "basisghana", + "url": "https://github.com/openwashdata/basisghana" + }, { "package": "biogasoutcomesmalawi", "url": "https://github.com/openwashdata/biogasoutcomesmalawi" @@ -15,6 +19,10 @@ "package": "boreholefuncmwi", "url": "https://github.com/openwashdata/boreholefuncmwi" }, + { + "package": "boreholelabdata", + "url": "https://github.com/openwashdata/boreholelabdata" + }, { "package": "breathablepitlat", "url": "https://github.com/openwashdata/breathablepitlat" @@ -23,10 +31,26 @@ "package": "cbssuitabilityhaiti", "url": "https://github.com/openwashdata/cbssuitabilityhaiti" }, + { + "package": "chckapmalawi", + "url": "https://github.com/openwashdata/chckapmalawi" + }, { "package": "choleramalawi", "url": "https://github.com/openwashdata/choleramalawi" }, + { + "package": "cleanteamghana", + "url": "https://github.com/openwashdata/cleanteamghana" + }, + { + "package": "dowaodfsurvey", + "url": "https://github.com/openwashdata/dowaodfsurvey" + }, + { + "package": "drillingdata", + "url": "https://github.com/openwashdata/drillingdata" + }, { "package": "ds4owdanalytics", "url": "https://github.com/openwashdata/ds4owdanalytics" @@ -39,6 +63,10 @@ "package": "floodchlorinationsurvey", "url": "https://github.com/openwashdata/floodchlorinationsurvey" }, + { + "package": "floodresponsemw", + "url": "https://github.com/openwashdata/floodresponsemw" + }, { "package": "fslogisticskampala", "url": "https://github.com/openwashdata/fslogisticskampala" @@ -55,10 +83,34 @@ "package": "glossarywho", "url": "https://github.com/openwashdata/glossarywho" }, + { + "package": "grdwtrsmpkwale", + "url": "https://github.com/openwashdata/grdwtrsmpkwale" + }, + { + "package": "gwinfraassess", + "url": "https://github.com/openwashdata/gwinfraassess" + }, + { + "package": "handpumpstatusdata", + "url": "https://github.com/openwashdata/handpumpstatusdata" + }, { "package": "hydrogeologicalghana", "url": "https://github.com/openwashdata/hydrogeologicalghana" }, + { + "package": "mwefloodresponse", + "url": "https://github.com/openwashdata/mwefloodresponse" + }, + { + "package": "mwgroundwaterdata", + "url": "https://github.com/openwashdata/mwgroundwaterdata" + }, + { + "package": "nchalohhwatersurvey", + "url": "https://github.com/openwashdata/nchalohhwatersurvey" + }, { "package": "owdata", "url": "https://github.com/openwashdata/owdata" @@ -68,13 +120,17 @@ "url": "https://github.com/openwashdata/planetaryhdi" }, { - "package": "ploswater", - "url": "https://github.com/openwashdata/ploswater" + "package": "portawaterperu", + "url": "https://github.com/openwashdata/portawaterperu" }, { "package": "postfloodintervention", "url": "https://github.com/openwashdata/postfloodintervention" }, + { + "package": "rainwaterhsurvey", + "url": "https://github.com/openwashdata/rainwaterhsurvey" + }, { "package": "rwpfunctionality", "url": "https://github.com/openwashdata/rwpfunctionality" @@ -87,6 +143,10 @@ "package": "solidwastekampala", "url": "https://github.com/openwashdata/solidwastekampala" }, + { + "package": "thyolocbcc", + "url": "https://github.com/openwashdata/thyolocbcc" + }, { "package": "ugabore", "url": "https://github.com/openwashdata/ugabore" @@ -99,6 +159,10 @@ "package": "unhcrwash", "url": "https://github.com/openwashdata/unhcrwash" }, + { + "package": "universityrankingafrica", + "url": "https://github.com/openwashdata/universityrankingafrica" + }, { "package": "waschoolpiracema", "url": "https://github.com/openwashdata/waschoolpiracema" @@ -127,6 +191,10 @@ "package": "watercostaccra", "url": "https://github.com/openwashdata/watercostaccra" }, + { + "package": "waterpointstatus", + "url": "https://github.com/openwashdata/waterpointstatus" + }, { "package": "waterpumpkwale", "url": "https://github.com/openwashdata/waterpumpkwale" diff --git a/inst/extdata/owd_datasets.csv b/inst/extdata/owd_datasets.csv index 3a42a7b..b6a052b 100644 --- a/inst/extdata/owd_datasets.csv +++ b/inst/extdata/owd_datasets.csv @@ -1,12 +1,19 @@ "pkg_name","dataset_name","title","description","n_rows","n_vars","n_vars_dictionary","csv_url","xlsx_url" "artesianwells","artesianwells","artesianwells: Artesian Well Site Assessment Data","A dataset capturing geospatial, structural, usage, and management characteristics of artesian well sites",44,29,29,"https://raw.githubusercontent.com/openwashdata/artesianwells/main/inst/extdata/artesianwells.csv","https://raw.githubusercontent.com/openwashdata/artesianwells/main/inst/extdata/artesianwells.xlsx" -"biogasoutcomesmalawi","biogasoutcomesmalawi","Qualitative interviews about the outcomes of biogas reactors in Malawi","This dataset consists of 61 semi-structured interviews with biogas owners in the Southern Region of Malawi. Interviews were conducted over multiple visits to sites over the course of a two-year period between June 2021 and October 2022.",259,5,5,"https://raw.githubusercontent.com/openwashdata/biogasoutcomesmalawi/main/inst/extdata/biogasoutcomesmalawi.csv","https://raw.githubusercontent.com/openwashdata/biogasoutcomesmalawi/main/inst/extdata/biogasoutcomesmalawi.xlsx" +"basisghana","basisghana","Basic Sanitation Information System - BaSIS","The BaSIS dataset captures sanitation information across Ghana's subnational regions, focusing on open defection free communities data such as population, households, toilets, and handwashing facilities.",1618,10,10,"https://raw.githubusercontent.com/openwashdata/basisghana/main/inst/extdata/basisghana.csv","https://raw.githubusercontent.com/openwashdata/basisghana/main/inst/extdata/basisghana.xlsx" +"basisghana","ghanapop","Ghana Population","This dataset contains demographic details by district in Ghana, including population breakdown by gender and total population counts. It offers insights into regional demographics and gender distribution across Ghana's districts.",260,9,9,"https://raw.githubusercontent.com/openwashdata/basisghana/main/inst/extdata/ghanapop.csv","https://raw.githubusercontent.com/openwashdata/basisghana/main/inst/extdata/ghanapop.xlsx" +"biogasoutcomesmalawi","biogasoutcomesmalawi","Qualitative interviews about the outcomes of biogas reactors in Malawi","This dataset consists of 61 semi-structured interviews with biogas owners in the Southern Region of Malawi. Interviews were conducted over multiple visits to sites over the course of a two-year period between June 2021 and October 2022.",5963,5,5,"https://raw.githubusercontent.com/openwashdata/biogasoutcomesmalawi/main/inst/extdata/biogasoutcomesmalawi.csv","https://raw.githubusercontent.com/openwashdata/biogasoutcomesmalawi/main/inst/extdata/biogasoutcomesmalawi.xlsx" "boreholeforensicspumpingtest","boreholeforensicspumpingtest","boreholeforensicspumpingtest: Borehole Forensics 4 - Pumping Test","This dataset contains borehole forensic pumping test data, capturing key parameters related to groundwater extraction, borehole performance, and water quality assessments. It includes information on the test conditions, water levels, pumping rates, flow measurement methods, and water quality indicators such as pH, turbidity, and electrical conductivity. The dataset also documents permissions granted for testing, equipment used, and observations on borehole performance, such as whether the water level stabilized during pumping and whether the borehole passed the test.",445,38,44,"https://raw.githubusercontent.com/openwashdata/boreholeforensicspumpingtest/main/inst/extdata/boreholeforensicspumpingtest.csv","https://raw.githubusercontent.com/openwashdata/boreholeforensicspumpingtest/main/inst/extdata/boreholeforensicspumpingtest.xlsx" "boreholefuncmwi","boreholefuncmwi","boreholefuncmwi: Analysis of boreholes' functionality in Northern Malawi","The data is obtained from a survey conducted in Wasambo in Karonga district (Northen Malawi). This data is about boreholes and handpumps that people mostly rely on for drinking water, secondary to wells and rivers. The data were collected in June 2013.",108,17,17,"https://raw.githubusercontent.com/openwashdata/boreholefuncmwi/main/inst/extdata/boreholefuncmwi.csv","https://raw.githubusercontent.com/openwashdata/boreholefuncmwi/main/inst/extdata/boreholefuncmwi.xlsx" -"breathablepitlat","breathablepitlat",,,6,8,8,"https://raw.githubusercontent.com/openwashdata/breathablepitlat/main/inst/extdata/breathablepitlat.csv","https://raw.githubusercontent.com/openwashdata/breathablepitlat/main/inst/extdata/breathablepitlat.xlsx" -"cbssuitabilityhaiti","mwater","Location of different water points in Cap Haitien, Haiti","This data includes water point data from the mWater platform. Water points are for the city Cap Haitien, Haiti in 2022. The data collection and characterization was done between 2016 and 2022.",1849,7,7,"https://raw.githubusercontent.com/openwashdata/cbssuitabilityhaiti/main/inst/extdata/mwater.csv","https://raw.githubusercontent.com/openwashdata/cbssuitabilityhaiti/main/inst/extdata/mwater.xlsx" -"cbssuitabilityhaiti","okap","Sanitation zoning assessment data","This data includes data from a sanitation zoning report done for the city of Cap Haitien, Haiti in 2022. Additionally, it contains spatial data about the neighborhoods of 5 different Haitien cities.",198,21,13,"https://raw.githubusercontent.com/openwashdata/cbssuitabilityhaiti/main/inst/extdata/okap.csv","https://raw.githubusercontent.com/openwashdata/cbssuitabilityhaiti/main/inst/extdata/okap.xlsx" +"boreholelabdata","boreholelabdata","Water Quality Laboratory Analysis and Reporting Dataset – Malawi (2017–2019)","This dataset contains comprehensive records of water quality test results collected from various water points across Malawi between 2017 and 2019",32,53,53,"https://raw.githubusercontent.com/openwashdata/boreholelabdata/main/inst/extdata/boreholelabdata.csv","https://raw.githubusercontent.com/openwashdata/boreholelabdata/main/inst/extdata/boreholelabdata.xlsx" +"breathablepitlat","breathablepitlat",,,3132,8,8,"https://raw.githubusercontent.com/openwashdata/breathablepitlat/main/inst/extdata/breathablepitlat.csv","https://raw.githubusercontent.com/openwashdata/breathablepitlat/main/inst/extdata/breathablepitlat.xlsx" +"cbssuitabilityhaiti","mwater","Location of different water points in Cap Haitien, Haiti","This data includes water point data from the mWater platform. Water points are for the city Cap Haitien, Haiti in 2022. The data collection and characterization was done between 2015 and 2022.",1849,7,7,"https://raw.githubusercontent.com/openwashdata/cbssuitabilityhaiti/main/inst/extdata/mwater.csv","https://raw.githubusercontent.com/openwashdata/cbssuitabilityhaiti/main/inst/extdata/mwater.xlsx" +"cbssuitabilityhaiti","okap","Sanitation zoning assessment data","This data includes data from a sanitation zoning report done for the city of Cap Haitien, Haiti in 2022. Additionally, it contains spatial data about the neighborhoods of Cap Haitien and five other communes in Haiti (Canaan, Croix-des-Bouquets, Jeremie, Les Cayes, Mirebalais).",198,13,13,"https://raw.githubusercontent.com/openwashdata/cbssuitabilityhaiti/main/inst/extdata/okap.csv","https://raw.githubusercontent.com/openwashdata/cbssuitabilityhaiti/main/inst/extdata/okap.xlsx" +"chckapmalawi","chckapmalawi","Knowledge, Attitudes and Practices (KAP) Survey about Community Health Centers (CHC) in Malawi","This dataset captures insights from a Knowledge, Attitudes, and Practices (KAP) Survey conducted by BASEflow for Waste Advisers in Malawi, focusing on Community Health Centers (CHCs). It covers diverse aspects including household demographics, CHC membership, water sources, sanitation, nutrition knowledge, hygiene practices, and environmental conditions.",500,145,145,"https://raw.githubusercontent.com/openwashdata/chckapmalawi/main/inst/extdata/chckapmalawi.csv","https://raw.githubusercontent.com/openwashdata/chckapmalawi/main/inst/extdata/chckapmalawi.xlsx" "choleramalawi","choleramalawi","Title: Cholera Epidemic in Malawi","Description: Course of the cholera epidemic in Malawi. The data is resolved at a weekly level and contains information on the number of cases and deaths recorded in each district.",1886,8,8,"https://raw.githubusercontent.com/openwashdata/choleramalawi/main/inst/extdata/choleramalawi.csv","https://raw.githubusercontent.com/openwashdata/choleramalawi/main/inst/extdata/choleramalawi.xlsx" +"cleanteamghana","cleanteamghana","Ghana Clean Team Survey","The Clean Team Ghana dataset captures extensive information on various aspects of container-based sanitation in Ghana. It includes data on household demographics, sanitation facilities, cleanliness perceptions, usage patterns, satisfaction levels, concerns, and factors influencing the adoption of Clean Team Ghana's container-based sanitation services. This dataset aims to evaluate the effectiveness, acceptance, and challenges associated with container-based sanitation practices in Ghanaian communities.",583,127,128,"https://raw.githubusercontent.com/openwashdata/cleanteamghana/main/inst/extdata/cleanteamghana.csv","https://raw.githubusercontent.com/openwashdata/cleanteamghana/main/inst/extdata/cleanteamghana.xlsx" +"dowaodfsurvey","dowaodf","ODF Sanitation and Hygiene Household Survey – Ntchisi & Dowa District 2019","This dataset contains results from a household-level WASH (Water, Sanitation, and Hygiene) survey conducted on July 1st, 2019 in Mduku GVH, Dowa District, within the catchment area of Mbingwa Health Centre, Malawi. The purpose of the survey was to assess sanitation infrastructure, hygiene practices, and menstrual hygiene management (MHM) as part of an Open Defecation Free (ODF) verification exercise.",939,34,34,"https://raw.githubusercontent.com/openwashdata/dowaodfsurvey/main/inst/extdata/dowaodf.csv","https://raw.githubusercontent.com/openwashdata/dowaodfsurvey/main/inst/extdata/dowaodf.xlsx" +"drillingdata","drillingdata","Borehole Drilling and Construction Data – Malawi, 2018 - 2024","This dataset captures detailed information on borehole drilling and construction activities conducted across selected sites in Malawi between 2018 and 2024. Data were collected using the mWater digital platform, documenting each stage of groundwater development, from site selection and hydrogeological studies to drilling operations, borehole design, and post-construction assessments.",152,138,138,"https://raw.githubusercontent.com/openwashdata/drillingdata/main/inst/extdata/drillingdata.csv","https://raw.githubusercontent.com/openwashdata/drillingdata/main/inst/extdata/drillingdata.xlsx" "ds4owdanalytics","course_participation","course_participation: Participation in the Course","Sessions attended and participated in, for the course (anonymized)",734,5,5,"https://raw.githubusercontent.com/openwashdata/ds4owdanalytics/main/inst/extdata/course_participation.csv","https://raw.githubusercontent.com/openwashdata/ds4owdanalytics/main/inst/extdata/course_participation.xlsx" "ds4owdanalytics","ds4owd_browser","ds4owd_browser: Data on visits to the DS4OWD website by browser","This dataset contains information on visits to the DS4OWD website by browser used.",17,6,6,"https://raw.githubusercontent.com/openwashdata/ds4owdanalytics/main/inst/extdata/ds4owd_browser.csv","https://raw.githubusercontent.com/openwashdata/ds4owdanalytics/main/inst/extdata/ds4owd_browser.xlsx" "ds4owdanalytics","ds4owd_country","ds4owd_country: Data on visits to the DS4OWD website by country","Visits to the DS4OWD website by country",88,6,6,"https://raw.githubusercontent.com/openwashdata/ds4owdanalytics/main/inst/extdata/ds4owd_country.csv","https://raw.githubusercontent.com/openwashdata/ds4owdanalytics/main/inst/extdata/ds4owd_country.xlsx" @@ -17,10 +24,11 @@ "ds4owdanalytics","presurvey","presurvey: Responses from the pre-course survey","Data from the pre-course survey, including previous programming experience, ease of programming, data format, current level of LLM usage, organisation type, and barriers to learning.",212,15,15,"https://raw.githubusercontent.com/openwashdata/ds4owdanalytics/main/inst/extdata/presurvey.csv","https://raw.githubusercontent.com/openwashdata/ds4owdanalytics/main/inst/extdata/presurvey.xlsx" "ds4owdanalytics","publishing_metadata","publishing_metadata: Publishing Metadata","Metadata on packages published directly as a result of DS4OWD.",34,14,14,"https://raw.githubusercontent.com/openwashdata/ds4owdanalytics/main/inst/extdata/publishing_metadata.csv","https://raw.githubusercontent.com/openwashdata/ds4owdanalytics/main/inst/extdata/publishing_metadata.xlsx" "fecalcanuga","containment","containment: Technical Data for each Non-Sewered Sanitation Containment","This data set contains the technical data (containment size, volume, fecal sludge depth, etc.) for each non-sewered sanitation system containment that was sampled as a part of this field work.",41,10,10,"https://raw.githubusercontent.com/openwashdata/fecalcanuga/main/inst/extdata/containment.csv", -"fecalcanuga","ghg","ghg: Greenhouse Gas Mass Flux Rates for each Non-Sewered Sanitation Containment","This data set contains the calculated mass flux rates from the measured point-source in situ GHG measurments and the observed person equivalents for each containment for the three key greenhouse gases (CH4, CO2 and N2O).",41,7,,"https://raw.githubusercontent.com/openwashdata/fecalcanuga/main/inst/extdata/ghg.csv", +"fecalcanuga","ghg","ghg: Greenhouse Gas Mass Flux Rates for each Non-Sewered Sanitation Containment","This data set contains the calculated mass flux rates from the measured point-source in situ GHG measurments and the observed person equivalents for each containment for the three key greenhouse gases (CH4, CO2 and N2O).",41,7,7,"https://raw.githubusercontent.com/openwashdata/fecalcanuga/main/inst/extdata/ghg.csv", "fecalcanuga","household_survey","household_survey: Demographic, Environmental and Technical Household / Institutional Data for each Non-Sewered Sanitation Containment","This data set contains the collected household / institutional survey data for each location where a non-sewered sanitation containment was sampled. This includes demographic information, operational and maintenance information and some technical and environmental parameters.",41,39,39,"https://raw.githubusercontent.com/openwashdata/fecalcanuga/main/inst/extdata/household_survey.csv", "fecalcanuga","phys_chem_parameter","phys_chem_parameter: Physio-Chemical Parameter Data for each Non-sewered Sanitation Containment","This data set contains the measured in situ and analyzed in laboratory physical, chemical and biological parameters pertaining to each containment sampled as well as at different vertical locations in each containment (i.e., Top of containment, middle and bottom).",119,29,29,"https://raw.githubusercontent.com/openwashdata/fecalcanuga/main/inst/extdata/phys_chem_parameter.csv", "floodchlorinationsurvey","floodchlorinationsurvey","USAID Flood Response Rehabilitation and Chlorination Survey","This dataset is from the USAID Flood Response Rehabilitation and Chlorination Survey, conducted between 2019 - 2020, to assess and rehabilitate flood-affected boreholes in Malawi. Using the mWater, data collectors captured detailed information on the condition of handpumps, their components, water safety risks, and the impact of chlorination and repairs. The survey was part of an emergency response initiative to restore access to safe drinking water following flood events.",328,118,118,"https://raw.githubusercontent.com/openwashdata/floodchlorinationsurvey/master/inst/extdata/floodchlorinationsurvey.csv","https://raw.githubusercontent.com/openwashdata/floodchlorinationsurvey/master/inst/extdata/floodchlorinationsurvey.xlsx" +"floodresponsemw","floodresponsemw","Malawi USAID Flood Response – Water Point Assessment 2019 - 2020","This dataset contains detailed field-level information on the status and functionality of rural water points across Malawi, collected as part of the USAID Flood Response initiative between 2019 and 2020. The data was gathered using the mWater mobile data collection platform, enabling standardized, GPS-tagged assessments directly from field locations.",684,45,45,"https://raw.githubusercontent.com/openwashdata/floodresponsemw/main/inst/extdata/floodresponsemw.csv","https://raw.githubusercontent.com/openwashdata/floodresponsemw/main/inst/extdata/floodresponsemw.xlsx" "fslogisticskampala","trips","trips: Trips of faecal sludge trucks","This dataset contains the GPS locations of faecal sludge trucks collecting sludge from pit latrines and septic tanks in Kampala, Uganda. Each trip is recorded with a unique identifier, the numberplate of the truck, the date and time of the record. Data was collected from 30th March 2015 until 25th June 2015.",5653,7,7,"https://raw.githubusercontent.com/openwashdata/fslogisticskampala/main/inst/extdata/trips.csv","https://raw.githubusercontent.com/openwashdata/fslogisticskampala/main/inst/extdata/trips.xlsx" "fslogisticskampala","trucks","trucks: Faecal sludge emptying trucks","Additional information on the volume of each truck used in the dataset `trips`.",33,2,2,"https://raw.githubusercontent.com/openwashdata/fslogisticskampala/main/inst/extdata/trucks.csv","https://raw.githubusercontent.com/openwashdata/fslogisticskampala/main/inst/extdata/trucks.xlsx" "fsmglobal","fsmglobal","fsmglobal","Populations of 175 countries requiring faecal sludge emptying services.",700,9,9,"https://raw.githubusercontent.com/openwashdata/fsmglobal/main/inst/extdata/fsmglobal.csv","https://raw.githubusercontent.com/openwashdata/fsmglobal/main/inst/extdata/fsmglobal.xlsx" @@ -28,27 +36,42 @@ "gdho","gdho_full","Global Database of Humanitarian Organization (full version)","This dataset collected by Humanitarian Outcomes provides insights about humanitarian organizations, such as name, website, headquarter information, and etc. This full version includes the information about how many operational units a humanitarian organization has in each country, which is represented as one column per country resulting in 275 variables compared with the short version ""gdho"" (35 variables).",4548,275,275,"https://raw.githubusercontent.com/openwashdata/gdho/main/inst/extdata/gdho_full.csv","https://raw.githubusercontent.com/openwashdata/gdho/main/inst/extdata/gdho_full.xlsx" "glossarywho","definitions","definitions: Definitions of terms in the WHO Glossary (https://www.who.int/publications/i/item/9789240105485)","This datasets contains all terms and their definitions as defined in the WHO Glossary.",207,2,2,"https://raw.githubusercontent.com/openwashdata/glossarywho/main/inst/extdata/definitions.csv","https://raw.githubusercontent.com/openwashdata/glossarywho/main/inst/extdata/definitions.xlsx" "glossarywho","themes","themes: Table of Thematic Areas from https://www.who.int/publications/i/item/9789240105485","A table that assigns thematic areas to definitions included in the WHO Glossary (https://www.who.int/publications/i/item/9789240105485)",217,2,2,"https://raw.githubusercontent.com/openwashdata/glossarywho/main/inst/extdata/themes.csv","https://raw.githubusercontent.com/openwashdata/glossarywho/main/inst/extdata/themes.xlsx" +"grdwtrsmpkwale","selected_samples","Samples of selected venues collected 3 weeks in a row",,24,69,69,"https://raw.githubusercontent.com/openwashdata/grdwtrsmpkwale/main/inst/extdata/selected_samples.csv","https://raw.githubusercontent.com/openwashdata/grdwtrsmpkwale/main/inst/extdata/selected_samples.xlsx" +"grdwtrsmpkwale","water_samples","Samples collected in March and June 2016",,157,80,80,"https://raw.githubusercontent.com/openwashdata/grdwtrsmpkwale/main/inst/extdata/water_samples.csv","https://raw.githubusercontent.com/openwashdata/grdwtrsmpkwale/main/inst/extdata/water_samples.xlsx" +"gwinfraassess","gwinfraassess","Groundwater Monitoring Wells, Nkhotakota, Malawi 2022-2023","The Groundwater Monitoring Infrastructure Assessment Dataset (2022 to 2023) is an open dataset published by BASEflow Malawi. The dataset contains field observations collected during an assessment of groundwater monitoring infrastructure in Nkhotakota District, Malawi. It includes information on monitoring well characteristics, groundwater level measurements, monitoring equipment, site accessibility, infrastructure condition, community awareness, and recommended maintenance and rehabilitation actions.",123,40,40,"https://raw.githubusercontent.com/openwashdata/gwinfraassess/main/inst/extdata/gwinfraassess.csv","https://raw.githubusercontent.com/openwashdata/gwinfraassess/main/inst/extdata/gwinfraassess.xlsx" +"handpumpstatusdata","handpumpstatusdata","Chiradzulu Handpump Functionality Verification Survey","This dataset contains detailed field survey records of borehole and handpump functionality verification exercises conducted in Chiradzulu District, Malawi in February 2020. Data was collected by BASEflow using the mWater mobile data collection platform. Each record represents a single site visit to a water point, capturing GPS coordinates, technical assessments, water availability, environmental conditions, and maintenance history.",57,46,46,"https://raw.githubusercontent.com/openwashdata/handpumpstatusdata/main/inst/extdata/handpumpstatusdata.csv","https://raw.githubusercontent.com/openwashdata/handpumpstatusdata/main/inst/extdata/handpumpstatusdata.xlsx" "hydrogeologicalghana","hydrogeologicalghana","hydrogeologicalghana: Hydrogeological dynamics in the greater Accra and Ashanti regions of Ghana","This dataset contains measurements of pumping tests that were systematically conducted at each borehole to assess crucial hydrogeological parameters, specifically focusing on pumping rates and drawdown.",12,10,10,"https://raw.githubusercontent.com/openwashdata/hydrogeologicalghana/main/inst/extdata/hydrogeologicalghana.csv","https://raw.githubusercontent.com/openwashdata/hydrogeologicalghana/main/inst/extdata/hydrogeologicalghana.xlsx" -"planetaryhdi","planetaryhdi","planetaryhdi: Planetary Pressures Adjusted HDI Index for all countries","Planetary Pressures adjusted HDI Index for all countries. PHDI is HDI adjusted for production-based carbon dioxide emissions and material footprint per capita. The dataset also includes information on percentage difference in HDI after adjusting for planetary pressures and change in rank when the HDI is corrected for these pressures.",210,11,12,"https://raw.githubusercontent.com/openwashdata/planetaryhdi/main/inst/extdata/planetaryhdi.csv","https://raw.githubusercontent.com/openwashdata/planetaryhdi/main/inst/extdata/planetaryhdi.xlsx" -"ploswater","ploswater","ploswater: A dataset of papers from PLOS Water journal","This dataset includes data on papers published in the PLOS Water journal. All raw data is obtained using the OpenAlex API. The data includes details on the publication, references, authorship, and institutions.",240,1506,1506,"https://raw.githubusercontent.com/openwashdata/ploswater/main/inst/extdata/ploswater.csv","https://raw.githubusercontent.com/openwashdata/ploswater/main/inst/extdata/ploswater.xlsx" -"postfloodintervention","postfloodintervention","USAID Flood Response - Post Intervention Survey 2019-2020","This dataset represents the USAID Flood Response Post Intervention Survey conducted in Mulanje during 2019-2020 using the mWater platform. It contains comprehensive water quality assessments and operational data from various water points affected by flooding.",308,30,30,"https://raw.githubusercontent.com/openwashdata/postfloodintervention/master/inst/extdata/postfloodintervention.csv","https://raw.githubusercontent.com/openwashdata/postfloodintervention/master/inst/extdata/postfloodintervention.xlsx" -"rwpfunctionality","rwpfunctionality","Water point functionality assessment in nine sub-Saharan Africa and South","Asia countries Water point monitoring data associated with the paper ""[Rural water point functionality estimates and associations: evidence from nine countries in sub-Saharan Africa and South Asia](https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2023WR034679)"" (Murray, Anna L et al., 2024).",1793,52,51,"https://raw.githubusercontent.com/openwashdata/rwpfunctionality/main/inst/extdata/rwpfunctionality.csv","https://raw.githubusercontent.com/openwashdata/rwpfunctionality/main/inst/extdata/rwpfunctionality.xlsx" -"saniabidjan","saniabidjan","saniabidjan: Data About Behavior and Practices of Managing Sanitation Facilties in Abidjan, Cote d’Ivoire","Household survey data collected from Yopougon and Abobo in Abidjan, Cote d'Ivoire. The survey is about practices related to the management of sanitation facilities, specifically, latrines and tanks.",207,25,25,"https://raw.githubusercontent.com/openwashdata/saniabidjan/main/inst/extdata/saniabidjan.csv","https://raw.githubusercontent.com/openwashdata/saniabidjan/main/inst/extdata/saniabidjan.xlsx" +"mwefloodresponse","mwefloodresponse","mwefloodresponse: Malawi Emergency Flood Response Water Point Survey (2019–2020)","This dataset contains water point assessment data collected during an emergency flood response in Malawi between 2019 and 2020. The survey was conducted under the BASEflow program to evaluate the status, functionality, and safety of water points affected by flooding events.",319,40,40,"https://raw.githubusercontent.com/openwashdata/mwefloodresponse/main/inst/extdata/mwefloodresponse.csv","https://raw.githubusercontent.com/openwashdata/mwefloodresponse/main/inst/extdata/mwefloodresponse.xlsx" +"mwgroundwaterdata","mwgroundwaterdata","mwgroundwaterdata: Malawi Groundwater Monitoring Time-Series Dataset (2024–2025)","This dataset contains groundwater monitoring data collected from monitoring wells across 9 districts in Malawi between 2024 and 2025. The data were captured using automated data loggers installed in monitoring wells and were collected and managed by BASEflow. The dataset provides time-series measurements of key groundwater parameters, enabling detailed analysis of aquifer behavior across multiple geographic locations.",1415,9,9,"https://raw.githubusercontent.com/openwashdata/mwgroundwaterdata/main/inst/extdata/mwgroundwaterdata.csv","https://raw.githubusercontent.com/openwashdata/mwgroundwaterdata/main/inst/extdata/mwgroundwaterdata.xlsx" +"nchalohhwatersurvey","nchalohhwatersurvey","Nchalo Water Project – Household Survey 2021","This is a community-level household survey conducted as part of the Nchalo Water Project. Its purpose is to assess livelihoods, water usage, community governance, infrastructure access, and opportunities for value addition in rural water supply and WASH-related development intervention.",74,39,39,"https://raw.githubusercontent.com/openwashdata/nchalohhwatersurvey/main/inst/extdata/nchalohhwatersurvey.csv","https://raw.githubusercontent.com/openwashdata/nchalohhwatersurvey/main/inst/extdata/nchalohhwatersurvey.xlsx" +"planetaryhdi","planetaryhdi","planetaryhdi: Planetary Pressures Adjusted HDI for countries and aggregates, 2022","Planetary pressures-adjusted HDI (PHDI) for 195 countries and territories and 15 UNDP aggregates (development groups, regions and the world), from the UNDP Human Development Report 2023/2024. Values refer to 2022, except carbon dioxide emissions per capita and its index, which refer to 2021. PHDI is HDI adjusted for production-based carbon dioxide emissions and material footprint per capita. The dataset also includes information on percentage difference in HDI after adjusting for planetary pressures and change in rank when the HDI is corrected for these pressures.",210,12,12,"https://raw.githubusercontent.com/openwashdata/planetaryhdi/main/inst/extdata/planetaryhdi.csv","https://raw.githubusercontent.com/openwashdata/planetaryhdi/main/inst/extdata/planetaryhdi.xlsx" +"portawaterperu","portawaterperu","portawaterperu: A Preliminary Review of Peruvian Potable Water System Data","Data for this project was obtained from @SIASAR, an information system containing data on rural water supply and sanitation services. Using SIASAR's ""download data by country"" tool, all available data for Peru (10 excel files) were downloaded. After examining the 10 excel files, only 5 pertained to potable water systems. Those 5 data sets were imported into R and subsequently empty values and unnecessary columns were deleted from them. Finally, the 5 data sets were combined into 1 data frame based on community ID. The combined, cleaned data set contains data from 32 communities.",32,51,51,"https://raw.githubusercontent.com/openwashdata/portawaterperu/main/inst/extdata/portawaterperu.csv","https://raw.githubusercontent.com/openwashdata/portawaterperu/main/inst/extdata/portawaterperu.xlsx" +"postfloodintervention","postfloodintervention","USAID Flood Response - Post Intervention Survey 2019-2020","This dataset represents the USAID Flood Response Post Intervention Survey conducted in Mulanje during 2019-2020 using the mWater platform. It contains comprehensive water quality assessments and operational data from various water points affected by flooding.",308,30,30,"https://raw.githubusercontent.com/openwashdata/postfloodintervention/main/inst/extdata/postfloodintervention.csv","https://raw.githubusercontent.com/openwashdata/postfloodintervention/main/inst/extdata/postfloodintervention.xlsx" +"rainwaterhsurvey","rainwaterhsurvey","Rainwater Harvesting and Groundwater Recharge Survey, Malawi 2025","This dataset contains household-level survey data collected in 2025 under the BASEflow monitoring and data systems using the mWater digital data collection platform. The survey was conducted across selected communities to assess household water access conditions, perceptions of groundwater systems, and adoption of rainwater harvesting (RWH) practices.",479,18,18,"https://raw.githubusercontent.com/openwashdata/rainwaterhsurvey/main/inst/extdata/rainwaterhsurvey.csv","https://raw.githubusercontent.com/openwashdata/rainwaterhsurvey/main/inst/extdata/rainwaterhsurvey.xlsx" +"rwpfunctionality","rwpfunctionality","Water point functionality in sub-Saharan Africa and South Asia","Water point monitoring data associated with the paper ""[Rural water point functionality estimates and associations: evidence from nine countries in sub-Saharan Africa and South Asia](https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2023WR034679)"" (Murray, Anna L et al., 2024).",1793,52,52,"https://raw.githubusercontent.com/openwashdata/rwpfunctionality/main/inst/extdata/rwpfunctionality.csv","https://raw.githubusercontent.com/openwashdata/rwpfunctionality/main/inst/extdata/rwpfunctionality.xlsx" +"saniabidjan","saniabidjan","saniabidjan: Sanitation Facility Management in Abidjan, Cote d'Ivoire, 2018","Household survey data collected from Yopougon and Abobo in Abidjan, Cote d'Ivoire. The survey is about practices related to the management of sanitation facilities, specifically, latrines and tanks.",207,25,25,"https://raw.githubusercontent.com/openwashdata/saniabidjan/main/inst/extdata/saniabidjan.csv","https://raw.githubusercontent.com/openwashdata/saniabidjan/main/inst/extdata/saniabidjan.xlsx" "solidwastekampala","solidwastekampala","solidwastekampala: Quantity and Composition of Domestic Solid Waste in Kampala City","Household-level results of a seven-day domestic solid waste characterisation in three parishes of Kampala City, Uganda (Bwaise I = low income, Bukoto I = middle income, Ggaba = high income). For each of the 103 analyzed households the data record socio-economic characteristics, the measured mass of ten waste categories, and the derived per-household metrics (total, per-day, per-capita, volume, and density).",103,37,37,"https://raw.githubusercontent.com/openwashdata/solidwastekampala/main/inst/extdata/solidwastekampala.csv","https://raw.githubusercontent.com/openwashdata/solidwastekampala/main/inst/extdata/solidwastekampala.xlsx" -"ugabore","ugabore","Borehole repair data from central Uganda","Data set about borehole repair records from the borehole operation and maintenance company operating in central Uganda. Population data is picked as an interview from a representative of the Local Water User Committees (LWUCs). The data on the technical specifications about the borehole is picked from the borehole records file from the company.",173,10,10,"https://raw.githubusercontent.com/openwashdata/ugabore/main/inst/extdata/ugabore.csv","https://raw.githubusercontent.com/openwashdata/ugabore/main/inst/extdata/ugabore.xlsx" -"undpcomposite","undpcomposite","undpcomposite: Composite data from UNDP","Composite Data from UNDP on all indices in the form of a timeseries.",6798,45,45,"https://raw.githubusercontent.com/openwashdata/undpcomposite/main/inst/extdata/undpcomposite.csv","https://raw.githubusercontent.com/openwashdata/undpcomposite/main/inst/extdata/undpcomposite.xlsx" -"unhcrwash","unhcrwash","unhcrwash: Refugee Camp WASH indicators data from the United Nations High Commissioner for Refugees","This is a dataset on WASH indicators in refugee camps and settlements. The data was collected from the UNHCR Information Management System (IRIS) and was available on the UNHCR WASH dashboard. This dataset includes data from 227 sites and 36 countries. The source dashboard has since been retired, so this dataset is a fixed historical snapshot (2013 to 2024) that can no longer be regenerated. See the package README for details.",6425,27,27,"https://raw.githubusercontent.com/openwashdata/unhcrwash/main/inst/extdata/unhcrwash.csv","https://raw.githubusercontent.com/openwashdata/unhcrwash/main/inst/extdata/unhcrwash.xlsx" +"thyolocbcc","thyolocbcc","Thyolo CBCC WASH and Sanitation Survey Data - 2021","This dataset captures detailed Water, Sanitation, and Hygiene (WASH) conditions and related management practices in Community-Based Childcare Centres (CBCCs) in Thyolo Malawi.",118,98,98,"https://raw.githubusercontent.com/openwashdata/thyolocbcc/main/inst/extdata/thyolocbcc.csv","https://raw.githubusercontent.com/openwashdata/thyolocbcc/main/inst/extdata/thyolocbcc.xlsx" +"ugabore","ugabore","Borehole repair data from central Uganda","Data set about borehole repair records from the borehole operation and maintenance company operating in central Uganda. Population data is picked as an interview from a representative of the Local Water User Committees (LWUCs). The data on the technical specifications about the borehole is picked from the borehole records file from the company.",171,10,10,"https://raw.githubusercontent.com/openwashdata/ugabore/main/inst/extdata/ugabore.csv","https://raw.githubusercontent.com/openwashdata/ugabore/main/inst/extdata/ugabore.xlsx" +"undpcomposite","undpcomposite","undpcomposite: UNDP composite indices for countries and aggregates, 1990 to 2022","Composite indices from the UNDP Human Development Report 2023/2024 complete time series: the Human Development Index (HDI), the Gender Development Index (GDI), the Inequality-adjusted HDI (IHDI), the Gender Inequality Index (GII) and the Planetary pressures-adjusted HDI (PHDI), with their components, for 195 countries and territories and 11 UNDP aggregates (development groups, developing regions and the world). One row per country or aggregate and year, from 1990 to 2022. Not every index covers every year; missing values are NA.",6798,45,45,"https://raw.githubusercontent.com/openwashdata/undpcomposite/main/inst/extdata/undpcomposite.csv","https://raw.githubusercontent.com/openwashdata/undpcomposite/main/inst/extdata/undpcomposite.xlsx" +"unhcrwash","unhcrwash","unhcrwash: Refugee Camp WASH indicators data from the United Nations High Commissioner for Refugees","This is a dataset on WASH indicators in refugee camps and settlements. The data was collected from the UNHCR Information Management System (IRIS) and was available on the UNHCR WASH dashboard. This dataset includes data from 226 sites and 35 countries. The source dashboard has since been retired, so this dataset is a fixed historical snapshot (2013 to 2024) that can no longer be regenerated. See the package README for details.",6425,27,27,"https://raw.githubusercontent.com/openwashdata/unhcrwash/main/inst/extdata/unhcrwash.csv","https://raw.githubusercontent.com/openwashdata/unhcrwash/main/inst/extdata/unhcrwash.xlsx" +"universityrankingafrica","african_countries","African Countries","Database of African Countries with corresponding GDP and HDI data.",55,7,7,"https://raw.githubusercontent.com/openwashdata/universityrankingafrica/main/inst/extdata/african_countries.csv","https://raw.githubusercontent.com/openwashdata/universityrankingafrica/main/inst/extdata/african_countries.xlsx" +"universityrankingafrica","ranking","University Ranking Africa","Database of African Top Universities and observations of their rankings, type of courses, application process, part of international students and website funtions.",141,26,26,"https://raw.githubusercontent.com/openwashdata/universityrankingafrica/main/inst/extdata/ranking.csv","https://raw.githubusercontent.com/openwashdata/universityrankingafrica/main/inst/extdata/ranking.xlsx" "waschoolpiracema","waschoolpiracema","waschoolpiracema: Brazilian National School Census","Since 2014 INEP (Instituto National de Estudos e Pesquisas Educacionais Anísio Teixeira), the Brazilian government entity responsible for the surveillance of schools, has been collecting and releasing information on an annual basis on the infrastructure of all basic education institutions in the country, regardless of the level of education, locality (rural vs urban) and management model (private or public) (INEP, 2021). Every year, the school's principals, headteachers, or the person in charge must reply to a self-reported survey sent by the INEP. The questionnaire contains 62 questions and should be filled out between June and August, considering the last Wednesday of May as the reference date for data collection (INEP, 2021). The final results are released at the end of January and the beginning of February from the following year. For the year 2020, due to the extraordinary situation of the COVID-19 pandemic, the reference date for collecting the data was postponed to March 11 2020, one day before the national closure of schools was established. Hence, the 2020 BNSC dataset describes the state of schools' infrastructure in Brazil right before they were closed. For 2021 and 2022, the reference date for data collection returned to the original standard (last Wednesday of May of 2021 and 2022). Thus, the 2021 BNSC, which were released on February 18 2022 reflect the impacts of the pandemic and the school closure on the state of schools' infrastructure in Brazil, while the 2022 BNSC released on and February 08 2023 indicates the situation of schools at the end of the pandemic. We adopted the word ""pre"" to designate the state of schools before the beginning of the pandemic  (2020 BNSC), ""peri"" to refer to the state of schools during the pandemic (2021 BNSC) and ""post"" to indicate the conditions of schools moving forward from the COVID-19 pandemic (at the end of the pandemic).",21,36,36,"https://raw.githubusercontent.com/openwashdata/waschoolpiracema/main/inst/extdata/waschoolpiracema.csv","https://raw.githubusercontent.com/openwashdata/waschoolpiracema/main/inst/extdata/waschoolpiracema.xlsx" -"washinvestments","washinvestments","Multilateral development banks investment behaviour in water and","sanitation Data set on multilateral development bank (MDB) investment in water supply and sanitation between 1960 and 2020 compiled by drawing on on 3,639 water and sanitation projects to assess territorial trends, technology choices, distribution of financial burdens, and reforms to institutional arrangements.",1873,52,40,"https://raw.githubusercontent.com/openwashdata/washinvestments/main/inst/extdata/washinvestments.csv", +"washinvestments","washinvestments","Multilateral development banks investment behaviour in water and","sanitation Data set on multilateral development bank (MDB) investment in water supply and sanitation: 1,873 project records of the World Bank, the African Development Bank and the Asian Development Bank, approved between 1963 and 2020, compiled to assess territorial trends, technology choices, distribution of financial burdens, and reforms to institutional arrangements. Most records are for projects in Africa and Asia.",1873,52,52,"https://raw.githubusercontent.com/openwashdata/washinvestments/main/inst/extdata/washinvestments.csv", "washmalawi","washmalawi","SDG Household Level Survey - Malawi (2018 - 2023)","This dataset comprises household-level survey data collected across Malawi between 2018 and 2023 as part of a Sustainable Development Goals (SDG) monitoring initiative. The data captures detailed information on household water access, sanitation facilities, hygiene practices, and environmental conditions. It includes geolocation data (latitude, longitude, altitude), survey timestamps, and various indicators such as the availability of handwashing facilities, type of toilet used, and waste treatment methods. This dataset is instrumental for assessing progress in WASH (Water, Sanitation, and Hygiene) outcomes and guiding evidence-based interventions in underserved communities.",23112,27,26,"https://raw.githubusercontent.com/openwashdata/washmalawi/main/inst/extdata/washmalawi.csv","https://raw.githubusercontent.com/openwashdata/washmalawi/main/inst/extdata/washmalawi.xlsx" "washopenresearch","datapapers","Dataset about WASH data papers published in dedicated data journals","Candidate WASH-related data papers harvested from Crossref and Europe PMC for seven data journals (Scientific Data, Data in Brief, Gates Open Research, F1000Research, GigaScience, GigaByte, and Data), screened for relevance with a committed decision sheet. Data papers describe a shared dataset, so the repository link takes the role that the data availability statement variables play in `washdev` and `uncnewsletter`.",,,18,"https://raw.githubusercontent.com/openwashdata/washopenresearch/main/inst/extdata/datapapers.csv","https://raw.githubusercontent.com/openwashdata/washopenresearch/main/inst/extdata/datapapers.xlsx" -"washopenresearch","ploswater","Dataset about data availability in PLOS Water","Article metadata for all articles published in PLOS Water since its first volume (2022), collected through the public PLOS search API and each article's JATS XML. Data availability statements are mandatory at PLOS, so `has_das` is TRUE for research articles throughout; the interesting variation lies in `das_type`, `das_repo_url`, and `das_repo_name`. All article types are included; use `article_type` to restrict to research articles.",,,32,"https://raw.githubusercontent.com/openwashdata/washopenresearch/main/inst/extdata/ploswater.csv","https://raw.githubusercontent.com/openwashdata/washopenresearch/main/inst/extdata/ploswater.xlsx" -"washopenresearch","uncnewsletter","Dataset about data availability in the UNC Water Newsletter",,,,28,"https://raw.githubusercontent.com/openwashdata/washopenresearch/main/inst/extdata/uncnewsletter.csv","https://raw.githubusercontent.com/openwashdata/washopenresearch/main/inst/extdata/uncnewsletter.xlsx" -"washopenresearch","washdev","Dataset about data availability in the Journal of Water, Sanitation and Hygiene for Development",,,,29,"https://raw.githubusercontent.com/openwashdata/washopenresearch/main/inst/extdata/washdev.csv","https://raw.githubusercontent.com/openwashdata/washopenresearch/main/inst/extdata/washdev.xlsx" -"wasteskipsblantyre","wasteskipsblantyre","Location of waste skips in Blantyre, Malawi","This data set includes spatial data about the location of waste skips in the city of Blantyre, Malawi. The data was collected in 2021.",53,4,4,"https://raw.githubusercontent.com/openwashdata/wasteskipsblantyre/main/inst/extdata/wasteskipsblantyre.csv","https://raw.githubusercontent.com/openwashdata/wasteskipsblantyre/main/inst/extdata/wasteskipsblantyre.xlsx" -"watercostaccra","households","households: Household survey data","A survey of 116 households was conducted in two low-income communities in metropolitan Accra. These are Korle Gonno, a larger, well-planned coastal area with over 35 household water vendors, and Abuja, a small, densely packed, extralegal settlement with 15 water vendor and bathhouse businesses.",116,39,39,"https://raw.githubusercontent.com/openwashdata/watercostaccra/main/inst/extdata/households.csv","https://raw.githubusercontent.com/openwashdata/watercostaccra/main/inst/extdata/households.xlsx" -"watercostaccra","waterpoints","waterpoints: Water point survey data","A water point survey was conducted in two low-income communities in metropolitan Accra. These are Korle Gonno, a larger, well-planned coastal area with over 35 household water vendors, and Abuja, a small, densely packed, extralegal settlement with 15 water vendor and bathhouse businesses.",49,28,28,"https://raw.githubusercontent.com/openwashdata/watercostaccra/main/inst/extdata/waterpoints.csv","https://raw.githubusercontent.com/openwashdata/watercostaccra/main/inst/extdata/waterpoints.xlsx" +"washopenresearch","jwh","Dataset about data availability in the Journal of Water and Health","The Journal of Water and Health is an IWA journal covering water quality and health. Coverage runs from 2003 to 2026. Scraped from iwaponline.com by data-raw/iwa_scraping.R (#32-#34).",,,27,"https://raw.githubusercontent.com/openwashdata/washopenresearch/main/inst/extdata/jwh.csv","https://raw.githubusercontent.com/openwashdata/washopenresearch/main/inst/extdata/jwh.xlsx" +"washopenresearch","ploswater","Dataset about data availability in PLOS Water","Article metadata for all articles published in PLOS Water since its first volume (2022), collected through the public PLOS search API and each article's JATS XML. Data availability statements are mandatory at PLOS, so `has_das` is TRUE for research articles throughout; the interesting variation lies in `das_type`, `das_repo_url`, and `das_repo_name`. All article types are included; use `article_type` to restrict to research articles.",,,30,"https://raw.githubusercontent.com/openwashdata/washopenresearch/main/inst/extdata/ploswater.csv","https://raw.githubusercontent.com/openwashdata/washopenresearch/main/inst/extdata/ploswater.xlsx" +"washopenresearch","uncnewsletter","Dataset about data availability in the UNC Water Newsletter",,,,26,"https://raw.githubusercontent.com/openwashdata/washopenresearch/main/inst/extdata/uncnewsletter.csv","https://raw.githubusercontent.com/openwashdata/washopenresearch/main/inst/extdata/uncnewsletter.xlsx" +"washopenresearch","washdev","Dataset about data availability in the Journal of Water, Sanitation and Hygiene for Development",,,,27,"https://raw.githubusercontent.com/openwashdata/washopenresearch/main/inst/extdata/washdev.csv","https://raw.githubusercontent.com/openwashdata/washopenresearch/main/inst/extdata/washdev.xlsx" +"washopenresearch","ws","Dataset about data availability in the journal Water Supply","Water Supply is an IWA journal covering drinking water supply, treatment and distribution. Coverage runs from 2001 to 2026. Scraped from iwaponline.com by data-raw/iwa_scraping.R (#32-#34).",,,27,"https://raw.githubusercontent.com/openwashdata/washopenresearch/main/inst/extdata/ws.csv","https://raw.githubusercontent.com/openwashdata/washopenresearch/main/inst/extdata/ws.xlsx" +"wasteskipsblantyre","poi","poi: Points of interest for waste collection in Blantyre, Malawi","Points of interest for the collection of waste from the public skips in Blantyre, Malawi: the depot, the Mzedi dump site, the compost site and two gas stations.",5,3,3,"https://raw.githubusercontent.com/openwashdata/wasteskipsblantyre/main/inst/extdata/poi.csv","https://raw.githubusercontent.com/openwashdata/wasteskipsblantyre/main/inst/extdata/poi.xlsx" +"wasteskipsblantyre","skips","skips: Public waste skip locations in Blantyre, Malawi","Public waste skip locations in Blantyre, Malawi, from the 2023 update of the dataset. Each row is a skip location with its names, cleansing supervision area, surrounding context, vehicle access, the number of skips and the fill-up times reported by the people surveyed. The dataset replaces `wasteskipsblantyre` (53 skip locations collected in 2021).",67,13,13,"https://raw.githubusercontent.com/openwashdata/wasteskipsblantyre/main/inst/extdata/skips.csv","https://raw.githubusercontent.com/openwashdata/wasteskipsblantyre/main/inst/extdata/skips.xlsx" +"watercostaccra","households","households: Household survey data","A survey of 116 households was conducted in two low-income communities in metropolitan Accra. These are Korle Gonno, a larger, well-planned coastal area with over 35 household water vendors, and Abuja, a small, densely packed, extralegal settlement with 15 water vendor and bathhouse businesses.",116,89,89,"https://raw.githubusercontent.com/openwashdata/watercostaccra/main/inst/extdata/households.csv","https://raw.githubusercontent.com/openwashdata/watercostaccra/main/inst/extdata/households.xlsx" +"watercostaccra","waterpoints","waterpoints: Water point survey data","A water point survey was conducted in two low-income communities in metropolitan Accra. These are Korle Gonno, a larger, well-planned coastal area with over 35 household water vendors, and Abuja, a small, densely packed, extralegal settlement with 15 water vendor and bathhouse businesses.",49,30,30,"https://raw.githubusercontent.com/openwashdata/watercostaccra/main/inst/extdata/waterpoints.csv","https://raw.githubusercontent.com/openwashdata/watercostaccra/main/inst/extdata/waterpoints.xlsx" +"waterpointstatus","waterpointstatus","Water Point Functionality and Service Monitoring, Malawi 2023","This dataset contains structured field survey responses collected from water point inspections and interviews with community members or water point committee representatives. Each record represents a single survey event linked to a specific water point, including GPS coordinates and detailed observations on infrastructure condition, functionality, water availability, maintenance practices, and governance arrangements.",1425,45,45,"https://raw.githubusercontent.com/openwashdata/waterpointstatus/main/inst/extdata/waterpointstatus.csv","https://raw.githubusercontent.com/openwashdata/waterpointstatus/main/inst/extdata/waterpointstatus.xlsx" "waterpumpkwale","location","Location information of the water pumps",,299,6,6,"https://raw.githubusercontent.com/openwashdata/waterpumpkwale/main/inst/extdata/location.csv","https://raw.githubusercontent.com/openwashdata/waterpumpkwale/main/inst/extdata/location.xlsx" -"waterpumpkwale","weeklyvol2014","Weekly volume in year 2014",,324,53,2,"https://raw.githubusercontent.com/openwashdata/waterpumpkwale/main/inst/extdata/weeklyvol2014.csv","https://raw.githubusercontent.com/openwashdata/waterpumpkwale/main/inst/extdata/weeklyvol2014.xlsx" -"waterpumpkwale","weeklyvol2015","Weekly volume in year 2015",,297,53,2,"https://raw.githubusercontent.com/openwashdata/waterpumpkwale/main/inst/extdata/weeklyvol2015.csv","https://raw.githubusercontent.com/openwashdata/waterpumpkwale/main/inst/extdata/weeklyvol2015.xlsx" -"worldhdi","worldhdi","worldhdi: Human Development Index 1990-2022","Trends in Human Development Index worldwide by country from 1990-2022. Data is initially measured at a frequency of once every 10 years, then 5 years and then yearly from 2019 onwards.",195,17,17,"https://raw.githubusercontent.com/openwashdata/worldhdi/main/inst/extdata/worldhdi.csv","https://raw.githubusercontent.com/openwashdata/worldhdi/main/inst/extdata/worldhdi.xlsx" +"waterpumpkwale","weeklyvol2014","Weekly volume in year 2014",,324,53,53,"https://raw.githubusercontent.com/openwashdata/waterpumpkwale/main/inst/extdata/weeklyvol2014.csv","https://raw.githubusercontent.com/openwashdata/waterpumpkwale/main/inst/extdata/weeklyvol2014.xlsx" +"waterpumpkwale","weeklyvol2015","Weekly volume in year 2015",,297,53,53,"https://raw.githubusercontent.com/openwashdata/waterpumpkwale/main/inst/extdata/weeklyvol2015.csv","https://raw.githubusercontent.com/openwashdata/waterpumpkwale/main/inst/extdata/weeklyvol2015.xlsx" +"worldhdi","worldhdi","worldhdi: Human Development Index trends for countries and aggregates, 1990-2022","Human Development Index (HDI) trends for 195 countries and territories and 15 UNDP aggregates (development groups, regions and the world), from the UNDP Human Development Report 2023/2024. HDI values are given for 1990, 2000, 2010 and 2015, and yearly from 2019 to 2022. 193 countries carry an HDI rank for 2022; the Democratic People's Republic of Korea and Monaco and the aggregates carry none.",210,17,17,"https://raw.githubusercontent.com/openwashdata/worldhdi/main/inst/extdata/worldhdi.csv","https://raw.githubusercontent.com/openwashdata/worldhdi/main/inst/extdata/worldhdi.xlsx" diff --git a/inst/extdata/owd_packages.csv b/inst/extdata/owd_packages.csv index f9ce164..23f6651 100644 --- a/inst/extdata/owd_packages.csv +++ b/inst/extdata/owd_packages.csv @@ -1,65 +1,59 @@ "pkg_name","title","description","version","published","reviewed","maintainer","maintainer_orcid","authors","license","date","keywords","spatial_coverage","temporal_coverage","doi","cff_version","url_github","url_docs","n_datasets","latest_release","default_branch","created_at","last_commit","topics","has_dictionary","has_extdata","washr_version","brand_ref","pkgreview_standard","has_r_cmd_check","has_pkgdown_workflow","has_jsonld" "artesianwells","Artesian Well Site Assessment Data","A dataset capturing geospatial, structural, usage, and management characteristics of artesian well sites.","0.1.0",TRUE,,"Emmanuel Mhango","0000-0003-3197-6244","Emmanuel Mhango","CC BY 4.0",2025-06-02,,,,"10.5281/zenodo.15824828","0.1.0","https://github.com/openwashdata/artesianwells","https://openwashdata.github.io/artesianwells/",1,"v0.1.0","main",2025-06-02,2026-07-08,,TRUE,TRUE,,,,TRUE,FALSE,FALSE -"basisghana","Basic Sanitation Information System - BaSIS","This package compiles sanitation data from established Open Defecation Free (ODF) communities across different regions in Ghana.","0.0.0.9000",FALSE,,"Lars Schöbitz","0000-0003-2196-5015","Lars Schöbitz; Sophia Skorik","CC BY 4.0",2023-12-04,"defecation, ghana, open-data, openwashdata, r, sanitation, wash",,,,"0.0.0.9000","https://github.com/openwashdata/basisghana","https://openwashdata.github.io/basisghana/",2,"v0.0.1","main",2023-08-09,2024-01-15,"defecation, ghana, open-data, openwashdata, r, sanitation, wash",TRUE,TRUE,,,,TRUE,FALSE,FALSE -"biogasoutcomesmalawi","Data for 61 semi-structured interviews with biogas owners in Malawi","This dataset consists of 61 semi-structured interviews with biogas owners in the Southern Region of Malawi. Interviews were conducted over multiple visits to sites over the course of a two-year period between June 2021 and October 2022.","0.0.1",TRUE,,"Lars Schöbitz","0000-0003-2196-5015","Lars Schöbitz; Sebastian Camilo Loos; Marc Kalina; Jonathan Olal Ogwang; Jonathan Kwangulero; Elizabeth Tilley","CC BY 4.0",2023-08-23,"biogas, interview-data, malawi, opendata, openwashdata, r",,,"10.5281/zenodo.8289620","0.0.1","https://github.com/openwashdata/biogasoutcomesmalawi","https://openwashdata.github.io/biogasoutcomesmalawi/",1,"v0.0.1","main",2023-07-26,2026-09-09,"biogas, interview-data, malawi, opendata, openwashdata, r",TRUE,TRUE,,,,TRUE,FALSE,FALSE +"basisghana","Basic Sanitation Information System - BaSIS","This package compiles sanitation data from established Open Defecation Free (ODF) communities across different regions in Ghana.","0.0.0.9000",TRUE,,"Lars Schöbitz","0000-0003-2196-5015","Lars Schöbitz; Sophia Skorik","CC BY 4.0",2026-09-18,"open data, washdata, sanitation, open defecation, Ghana",,,"10.5281/zenodo.10255444","0.0.0.9000","https://github.com/openwashdata/basisghana","https://openwashdata.github.io/basisghana/",2,"v0.0.1","main",2023-08-09,2026-09-23,"defecation, ghana, open-data, openwashdata, r, sanitation, wash",TRUE,TRUE,,,,TRUE,TRUE,TRUE +"biogasoutcomesmalawi","Data for 61 semi-structured interviews with biogas owners in Malawi","This dataset consists of 61 semi-structured interviews with biogas owners in the Southern Region of Malawi. Interviews were conducted over multiple visits to sites over the course of a two-year period between June 2021 and October 2022.","0.0.1",TRUE,,"Lars Schöbitz","0000-0003-2196-5015","Lars Schöbitz; Sebastian Camilo Loos; Marc Kalina; Jonathan Olal Ogwang; Jonathan Kwangulero; Elizabeth Tilley","CC BY 4.0",2023-08-28,"biogas, interview-data, malawi, opendata, openwashdata, r",,,"10.5281/zenodo.8289620","0.0.1","https://github.com/openwashdata/biogasoutcomesmalawi","https://openwashdata.github.io/biogasoutcomesmalawi/",1,"v0.0.1","main",2023-07-26,2026-09-17,"biogas, interview-data, malawi, opendata, openwashdata, r",TRUE,TRUE,,,,TRUE,TRUE,FALSE "boreholeforensicspumpingtest","Borehole Forensics 4 - Pumping Test Data 2018-2024","This dataset contains borehole forensic pumping test data, capturing key parameters related to groundwater extraction, borehole performance, and water quality assessments. It includes information on the test conditions, water levels, pumping rates, flow measurement methods, and water quality indicators such as pH, turbidity, and electrical conductivity. The dataset also documents permissions granted for testing, equipment used, and observations on borehole performance.","0.1.0",TRUE,,"Emmanuel Mhango","0000-0003-3197-6244","Emmanuel Mhango; Finlay Paterson; Paul Kumpukwe","CC BY 4.0",2025-03-05,,,,"10.5281/zenodo.15800110","0.1.0","https://github.com/openwashdata/boreholeforensicspumpingtest","https://openwashdata.github.io/boreholeforensicspumpingtest/",1,"v0.1.0","main",2025-03-05,2025-07-03,,TRUE,TRUE,,,,FALSE,FALSE,FALSE "boreholefuncmwi","Analysis of boreholes' functionality in Northern Malawi","The data is obtained from a survey conducted in Wasambo in Karonga district (Northen Malawi). This data is about boreholes and handpumps that people mostly rely on for drinking water, secondary to wells and rivers. The data were collected in June 2023.","0.0.1",TRUE,,"Mabvuto Yesaya","0000-0003-3234-9699","Mabvuto Yesaya; Juliette Preisig; Hastings Kayira; Mian Zhong","CC BY 4.0",2024-06-27,"borehole, malawi, opendata, openwashdata, r, survey-data",,,"10.5281/zenodo.12635354","0.0.1","https://github.com/openwashdata/boreholefuncmwi","https://openwashdata.github.io/boreholefuncmwi/",1,"v0.0.1","main",2024-06-21,2024-07-03,"borehole, malawi, opendata, openwashdata, r, survey-data",TRUE,TRUE,,,,TRUE,FALSE,FALSE -"boreholelabdata","Water Quality Laboratory Analysis and Reporting Dataset – Malawi (2017–2019)","This dataset contains comprehensive records of water quality test results collected from various water points across Malawi between 2017 and 2019","0.0.0.9000",FALSE,,"Emmanuel Mhango","0000-0003-3197-6244","Emmanuel Mhango; Finlay Paterson; Jamie Rattray","CC BY 4.0",2025-08-06,"boreholes, wash, water-quality",,,,,"https://github.com/openwashdata/boreholelabdata","https://openwashdata.github.io/boreholelabdata/",1,"v1.0.0","master",2025-08-06,2025-12-15,"boreholes, wash, water-quality",TRUE,TRUE,,,,FALSE,FALSE,FALSE -"breathablepitlat","Dataset about experiments of field application of breathable laminate-lined pit latrines","This dataset assists with a research study aims at capturing the pathogens and contaminants from pit latrines by lining them with a hydrophobic laminate. The data are collected to demonstrate the transport of contaminants from two pour flush, twin-pit latrines in which one pit is lined and one is unlined.","0.0.0.9000",TRUE,,"Mian Zhong","0009-0009-4546-7214","Mian Zhong; Shray Saxena","CC BY 4.0",2024-06-21,,,,"10.5281/zenodo.13960699","0.0.0.9000","https://github.com/openwashdata/breathablepitlat","https://openwashdata.github.io/breathablepitlat/",1,"v1.0","main",2024-06-21,2024-10-23,,TRUE,TRUE,,,,FALSE,FALSE,FALSE -"cbssuitabilityhaiti","Data for a sanitation zoning assessment done for Cap Haitien, Haiti","This package contains data for a sanitation zoning assessment done for the city of Cap Haitien, Haiti. It combines two datasets used for an analysis of the suitability of container-based sanitation (CBS).","0.0.1",TRUE,,"Sebastian Camilo Loos","0000-0003-2196-5015","Sebastian Camilo Loos; Sasha Kramer; Maya Lubeck-Schricker","CC BY 4.0",,"central-america, container-based-sanitation, haiti, open-data, open-datasets, r, sanitation, suitability-analysis, wash",,,"10.5281/zenodo.8361085","0.0.1","https://github.com/openwashdata/cbssuitabilityhaiti","https://openwashdata.github.io/cbssuitabilityhaiti/",2,"v0.0.1","main",2023-04-06,2023-10-03,"central-america, container-based-sanitation, haiti, open-data, open-datasets, r, sanitation, suitability-analysis, wash",TRUE,TRUE,,,,TRUE,FALSE,FALSE -"chckapmalawi","Knowledge, Attitudes and Practices (KAP) Survey about Community Health Centers (CHC) in Malawi","This dataset captures insights from a Knowledge, Attitudes, and Practices (KAP) Survey conducted by BASEflow for Waste Advisers in Malawi, focusing on Community Health Centers (CHCs). It covers diverse aspects including household demographics, CHC membership, water sources, sanitation, nutrition knowledge, hygiene practices, and environmental conditions.","0.0.0.9000",FALSE,,"Sophia Skorik","0009-0001-4755-1649","Sophia Skorik; Lars Schöbitz; Rhodrick Sagawa; Paul Kumpukwe; Veronica Chinangwa; Baleke Banda; Rodney Kananji; Feston Bwanyula; Gloria Maliana; Given Ngwira","CC BY 4.0",2023-10-25,,,,,"0.0.0.9000","https://github.com/openwashdata/chckapmalawi","https://openwashdata.github.io/chckapmalawi/",1,"v0.0.1","main",2023-10-25,2024-01-15,,TRUE,TRUE,,,,TRUE,FALSE,FALSE -"choleramalawi","Tracks the progress of Cholera epidemic in Malawi (2022-23)","A dataset that tracks the progress of the cholera epidemic in each district of Malawi in 2022-23.","0.1.0",TRUE,,"Yash Dubey",,"Yash Dubey","CC BY 4.0",,,,,"10.5281/zenodo.13920530","0.1.0","https://github.com/openwashdata/choleramalawi","https://openwashdata.github.io/choleramalawi/",1,"v1.0","main",2024-10-04,2024-10-16,,TRUE,TRUE,,,,FALSE,FALSE,FALSE -"cleanteamghana","Clean Team Ghana","This package compiles user experience data for the Clean Team Ghana container-based sanitation service in Kumasi, Ghana.","0.0.0.9000",FALSE,,"Sophia Skorik","0009-0001-4755-1649","Sophia Skorik; James Benjamin Tidwell; Kwabena Biritwum Nyarko; Ian Ross; Bismark Dwumfour-Asare; Scott Pippa","CC BY 4.0",2023-10-25,"container-based-sanitation, ghana, open-data, openwashdata, r, sanitation",,,,"0.0.0.9000","https://github.com/openwashdata/cleanteamghana","https://openwashdata.github.io/cleanteamghana/",1,"v0.0.1","main",2023-10-25,2024-01-15,"container-based-sanitation, ghana, open-data, openwashdata, r, sanitation",TRUE,TRUE,,,,TRUE,FALSE,FALSE +"boreholelabdata","Borehole Water Quality Laboratory Results, Malawi 2017 to 2019","This dataset contains comprehensive records of water quality test results collected from various water points across Malawi between 2017 and 2019.","1.0.1",TRUE,,"Emmanuel Mhango","0000-0003-3197-6244","Emmanuel Mhango; Finlay Paterson; Jamie Rattray","CC BY 4.0",2026-09-18,"open data, washdata, water quality, groundwater, boreholes, Malawi",,,"10.5281/zenodo.17433461","1.0.1","https://github.com/openwashdata/boreholelabdata","https://openwashdata.github.io/boreholelabdata/",1,"v1.0.1","main",2025-08-06,2026-09-23,"boreholes, wash, water-quality",TRUE,TRUE,,,,TRUE,TRUE,TRUE +"breathablepitlat","Breathable Laminate-Lined Pit Latrines, Fatehpur, India 2021-2022","This dataset assists with a research study aims at capturing the pathogens and contaminants from pit latrines by lining them with a hydrophobic laminate. The data are collected to demonstrate the transport of contaminants from two pour flush, twin-pit latrines in which one pit is lined and one is unlined.","1.0.1",TRUE,,"Lars Schöbitz","0000-0003-2196-5015","Mian Zhong; Shray Saxena; Lars Schöbitz","CC BY 4.0",2024-06-21,"open data, washdata, sanitation, pit latrines, faecal contamination, soil quality, groundwater, India","Fatehpur District, Uttar Pradesh, India","2021-12-01/2022-12-31","10.5281/zenodo.13960698","1.0.1","https://github.com/openwashdata/breathablepitlat","https://openwashdata.github.io/breathablepitlat/",1,"v1.0","main",2024-06-21,2026-09-24,,TRUE,TRUE,,,,TRUE,TRUE,TRUE +"cbssuitabilityhaiti","Sanitation Zoning and Water Points, Cap Haitien, Haiti 2015-2022","This package contains data for a sanitation zoning assessment of Cap Haitien, Haiti, used for an analysis of the suitability of container-based sanitation (CBS). It combines two datasets: neighbourhood level zoning data from a 2022 sanitation zoning assessment, covering Cap Haitien and five other communes in Haiti, and the locations of 1849 water points in the Cap Haitien area from the mWater platform, added between 2015 and 2022.","0.0.1",TRUE,,"Lars Schöbitz","0000-0003-2196-5015","Sebastian Camilo Loos; Sasha Kramer; Maya Lubeck-Schricker; Lars Schöbitz","CC BY 4.0",2023-09-19,"open data, washdata, sanitation, sanitation zoning, container-based sanitation, water points, urban planning, Cap Haitien, Haiti","Cap Haitien and five other communes (Canaan, Croix-des-Bouquets, Jeremie, Les Cayes, Mirebalais), Haiti","2015-07-24/2022-12-31","10.5281/zenodo.8361084","0.0.1","https://github.com/openwashdata/cbssuitabilityhaiti","https://openwashdata.github.io/cbssuitabilityhaiti/",2,"v0.0.1","main",2023-04-06,2026-09-24,"central-america, container-based-sanitation, haiti, open-data, open-datasets, r, sanitation, suitability-analysis, wash",TRUE,TRUE,,,,TRUE,TRUE,TRUE +"chckapmalawi","KAP Survey on Community Health Centers in Malawi","This dataset captures insights from a Knowledge, Attitudes, and Practices (KAP) Survey conducted by BASEflow for Waste Advisers in Malawi, focusing on Community Health Centers (CHCs). It covers diverse aspects including household demographics, CHC membership, water sources, sanitation, nutrition knowledge, hygiene practices, and environmental conditions.","0.0.2",TRUE,,"Lars Schöbitz","0000-0003-2196-5015","Sophia Skorik; Lars Schöbitz; Rhodrick Sagawa; Paul Kumpukwe; Veronica Chinangwa; Baleke Banda; Rodney Kananji; Feston Bwanyula; Gloria Maliana; Given Ngwira","CC BY 4.0",2026-09-18,"open data, washdata, community health, KAP survey, WASH, Malawi",,,"10.5281/zenodo.10459432","0.0.2","https://github.com/openwashdata/chckapmalawi","https://openwashdata.github.io/chckapmalawi/",1,"v0.0.2","main",2023-10-25,2026-09-24,,TRUE,TRUE,,,,TRUE,TRUE,TRUE +"choleramalawi","Tracks the progress of Cholera epidemic in Malawi (2022-23)","A dataset that tracks the progress of the cholera epidemic in each district of Malawi in 2022-23.","1.0.1",TRUE,,"Lars Schöbitz","0000-0003-2196-5015","Yash Dubey; Lars Schöbitz","CC BY 4.0",2024-10-11,"open data, washdata, cholera, epidemic, disease surveillance, public health, Malawi","Malawi","2022-02-28/2023-10-29","10.5281/zenodo.13920529","1.0.1","https://github.com/openwashdata/choleramalawi","https://openwashdata.github.io/choleramalawi/",1,"v1.0","main",2024-10-04,2026-09-24,,TRUE,TRUE,,,,TRUE,TRUE,TRUE +"cleanteamghana","Clean Team Ghana","This package compiles user experience data for the Clean Team Ghana container-based sanitation service in Kumasi, Ghana.","0.0.2",TRUE,,"Lars Schöbitz","0000-0003-2196-5015","Sophia Skorik; James Benjamin Tidwell; Kwabena Biritwum Nyarko; Ian Ross; Bismark Dwumfour-Asare; Scott Pippa; Lars Schöbitz","CC BY 4.0",2026-09-18,"open data, washdata, container-based sanitation, Ghana",,,"10.5281/zenodo.10439886","0.0.2","https://github.com/openwashdata/cleanteamghana","https://openwashdata.github.io/cleanteamghana/",1,"v0.0.2","main",2023-10-25,2026-09-24,"container-based-sanitation, ghana, open-data, openwashdata, r, sanitation",TRUE,TRUE,,,,TRUE,TRUE,TRUE "climatevulnerabilitykhm","Climate Vulnerability Data in Rural Cambodia","Data on Effects of Climate Vulnerability on Sanitation Access, Sanitation Infrastructure Functionality and Households’ Fecal Sludge Management Practices in Rural Cambodia.","0.0.0.9000",FALSE,,"Mian Zhong","0009-0009-4546-7214","Mian Zhong; James Harper","CC BY 4.0",,"cambodia, climate-data, open-data, open-datasets, openwashdata, r, wash",,,,"0.0.0.9000","https://github.com/openwashdata/climatevulnerabilitykhm","https://openwashdata.github.io/climatevulnerabilitykhm/",1,,"main",2023-06-20,2023-07-05,"cambodia, climate-data, open-data, open-datasets, openwashdata, r, wash",TRUE,FALSE,,,,FALSE,FALSE,FALSE -"dowalatrinesurvey","Household Latrine Survey Data from Dowa and Thyolo, Malawi","Contains survey data collected in October 2020 from households in Dowa and Thyolo Districts, Malawi. The dataset includes detailed information on household sanitation practices, latrine infrastructure, usage patterns, maintenance behaviors, and user preferences across rural and peri-urban communities. Data was collected using the mWater survey platform by BASEflow Malawi enumerators.","0.0.0.9000",FALSE,,"Emmanuel Mhango","0000-0003-3197-6244","Emmanuel Mhango","CC BY 4.0",2025-07-16,"hygiene, latrines, sanitation, wash",,,,"0.0.0.9000","https://github.com/openwashdata/dowalatrinesurvey","https://openwashdata.github.io/dowalatrinesurvey/",1,"v1.0.0","master",2025-06-25,2025-12-15,"hygiene, latrines, sanitation, wash",TRUE,TRUE,,,,FALSE,FALSE,FALSE -"dowaodfsurvey","ODF Sanitation and Hygiene Household Survey – Ntchisi & Dowa District 2019","This dataset contains results from a household-level WASH (Water, Sanitation, and Hygiene) survey conducted on July 1st, 2019 in Mduku GVH, Dowa District, within the catchment area of Mbingwa Health Centre, Malawi. The purpose of the survey was to assess sanitation infrastructure, hygiene practices, and menstrual hygiene management (MHM) as part of an Open Defecation Free (ODF) verification exercise.","0.0.0.9000",FALSE,,"Emmanuel Mhango","0000-0003-3197-6244","Emmanuel Mhango","CC BY 4.0",2025-08-07,"open-defecation, sanitation, wash",,,,,"https://github.com/openwashdata/dowaodfsurvey","https://openwashdata.github.io/dowaodfsurvey/",1,"V1.0.0","master",2025-08-07,2025-11-03,"open-defecation, sanitation, wash",TRUE,TRUE,,,,FALSE,FALSE,FALSE -"drillingdata","Borehole Drilling and Construction Data – Malawi, 2018 - 2024","This dataset captures detailed information on borehole drilling and construction activities conducted across selected sites in Malawi in 2018. Data were collected using the mWater digital platform, documenting each stage of groundwater development, from site selection and hydrogeological studies to drilling operations, borehole design, and post-construction assessments.","0.0.0.9000",FALSE,,"Emmanuel Mhango","0000-0003-3197-6244","Emmanuel Mhango; Jamie Rattray; Shaun MacLeod; Feston Bwanyula","CC BY 4.0",2025-11-06,"borehole, sanitation, wash",,,,,"https://github.com/openwashdata/drillingdata","https://openwashdata.github.io/drillingdata/",1,"v1.0.0","master",2025-04-08,2025-11-06,"borehole, sanitation, wash",TRUE,TRUE,,,,FALSE,FALSE,FALSE -"dryingfaecal","What the Package Does (One Line, Title Case)","What the package does (one paragraph).","0.0.0.9000",FALSE,,"Mian Zhong","0009-0009-4546-7214","Mian Zhong","CC BY 4.0",,,,,,"0.0.0.9000","https://github.com/openwashdata/dryingfaecal","https://openwashdata.github.io/dryingfaecal/",2,,"main",2023-06-28,2024-08-12,,TRUE,FALSE,,,,FALSE,FALSE,FALSE +"dowalatrinesurvey","Household Latrine Survey Data from Dowa and Thyolo, Malawi","Contains survey data collected in October 2020 from households in Dowa and Thyolo Districts, Malawi. The dataset includes detailed information on household sanitation practices, latrine infrastructure, usage patterns, maintenance behaviors, and user preferences across rural and peri-urban communities. Data was collected using the mWater survey platform by BASEflow Malawi enumerators.","0.0.0.9000",FALSE,,"Emmanuel Mhango","0000-0003-3197-6244","Emmanuel Mhango","CC BY 4.0",2025-07-16,"hygiene, latrines, sanitation, wash",,,,"0.0.0.9000","https://github.com/openwashdata/dowalatrinesurvey","https://openwashdata.github.io/dowalatrinesurvey/",1,"v1.0.0","main",2025-06-25,2026-09-18,"hygiene, latrines, sanitation, wash",TRUE,TRUE,,,,FALSE,FALSE,FALSE +"dowaodfsurvey","ODF Household Survey, Ntchisi and Dowa Districts, Malawi 2019","This dataset contains results from a household-level WASH (Water, Sanitation, and Hygiene) survey conducted on July 1st, 2019 in Mduku GVH, Dowa District, within the catchment area of Mbingwa Health Centre, Malawi. The purpose of the survey was to assess sanitation infrastructure, hygiene practices, and menstrual hygiene management (MHM) as part of an Open Defecation Free (ODF) verification exercise.","1.0.1",TRUE,,"Emmanuel Mhango","0000-0003-3197-6244","Emmanuel Mhango","CC BY 4.0",2026-09-18,"open data, washdata, sanitation, hygiene, open defecation free, household survey, Malawi",,,"10.5281/zenodo.17492107","1.0.1","https://github.com/openwashdata/dowaodfsurvey","https://openwashdata.github.io/dowaodfsurvey/",1,"v1.0.1","main",2025-08-07,2026-09-23,"open-defecation, sanitation, wash",TRUE,TRUE,,,,TRUE,TRUE,TRUE +"drillingdata","Borehole Drilling and Construction Data – Malawi, 2018 - 2024","This dataset captures detailed information on borehole drilling and construction activities conducted across selected sites in Malawi in 2018. Data were collected using the mWater digital platform, documenting each stage of groundwater development, from site selection and hydrogeological studies to drilling operations, borehole design, and post-construction assessments.","1.0.1",TRUE,,"Emmanuel Mhango","0000-0003-3197-6244","Emmanuel Mhango; Jamie Rattray; Shaun MacLeod; Feston Bwanyula","CC BY 4.0",2026-09-18,"open data, washdata, boreholes, drilling, groundwater, water supply, Malawi",,,"10.5281/zenodo.17543305","1.0.1","https://github.com/openwashdata/drillingdata","https://openwashdata.github.io/drillingdata/",1,"v1.0.1","main",2025-04-08,2026-09-23,"borehole, sanitation, wash",TRUE,TRUE,,,,TRUE,TRUE,TRUE +"dryingfaecal","What the Package Does (One Line, Title Case)","What the package does (one paragraph).","0.0.0.9000",FALSE,,"Lars Schöbitz","0000-0003-2196-5015","Mian Zhong; Lars Schöbitz","CC BY 4.0",,,,,,"0.0.0.9000","https://github.com/openwashdata/dryingfaecal","https://openwashdata.github.io/dryingfaecal/",2,,"main",2023-06-28,2026-09-23,,TRUE,FALSE,,,,FALSE,FALSE,FALSE "ds4owdanalytics","DS4OWD Analytics","Data collected from the Data Science for Open WASH Data (DS4OWD) course and the associated website and data publishing endeavour.","0.1.0",TRUE,,"Yash Dubey","0009-0001-2849-970X","Yash Dubey","CC BY 4.0",2025-01-31,,,,"10.5281/zenodo.14778963","0.1.0","https://github.com/openwashdata/ds4owdanalytics","https://openwashdata.github.io/ds4owdanalytics/",9,"v1.0.0","main",2025-01-31,2025-01-31,,TRUE,TRUE,,,,TRUE,FALSE,FALSE "faecalsludgekampala","What the Package Does (One Line, Title Case)","What the package does (one paragraph).","0.0.0.9000",FALSE,,"Lars Schöbitz",,"Lars Schöbitz; Matt Bannert","`use_mit_license()`, `use_gpl3_license()` or friends to pick a license",,,,,,"0.0.0.9000","https://github.com/openwashdata/faecalsludgekampala","https://openwashdata.github.io/faecalsludgekampala/",1,,"main",2023-11-30,2023-11-30,,FALSE,FALSE,,,,FALSE,FALSE,FALSE -"fecalcanuga","Demographic, Environmental, Technical and Physio-chemical Data on Non Sewered Sanitation Containments in Rural Canada and Urban Uganda","This data package contains data representing 5 months of field work from April - June 2023 (Canada) and January - February 2024 (Uganda) collecting household and commercial wastewater containment data and characterizing physical, chemical and greenhouse gas data for 22 non-sewered sanitation sites on southern Vancouver island and the southern gulf islands in British Columbia, Canada and 19 sites in Kampala, Uganda.","0.1.0",TRUE,,"Kelsey Shaw","0000-0001-7417-110X","Kelsey Shaw; Caetano Dorea; Linda Strande; Charles Niwagaba; Mian Zhong","CC BY 4.0",2026-06-22,,,,"10.5281/zenodo.20795917","0.1.0","https://github.com/openwashdata/fecalcanuga","https://openwashdata.github.io/fecalcanuga/",4,"v0.1.0","main",2026-06-18,2026-06-22,,TRUE,TRUE,,,,TRUE,FALSE,FALSE +"fecalcanuga","Non-Sewered Sanitation Containments, Canada and Uganda 2023-2024","This data package contains data representing 5 months of field work from April - June 2023 (Canada) and January - February 2024 (Uganda) collecting household and commercial wastewater containment data and characterizing physical, chemical and greenhouse gas data for 22 non-sewered sanitation sites on southern Vancouver island and the southern gulf islands in British Columbia, Canada and 19 sites in Kampala, Uganda.","0.1.0",TRUE,,"Kelsey Shaw","0000-0001-7417-110X","Kelsey Shaw; Caetano Dorea; Linda Strande; Charles Niwagaba; Mian Zhong","CC BY 4.0",2026-06-22,"open data, washdata, non-sewered sanitation, fecal sludge, septic tanks, greenhouse gas emissions, Canada, Uganda","Southern Vancouver Island and the Southern Gulf Islands, British Columbia, Canada; Kampala, Uganda","2023-04-06/2024-02-13","10.5281/zenodo.20795916","0.1.0","https://github.com/openwashdata/fecalcanuga","https://openwashdata.github.io/fecalcanuga/",4,"v0.1.0","main",2026-06-18,2026-09-24,,TRUE,TRUE,,,,TRUE,TRUE,TRUE "floodchlorinationsurvey","USAID Flood Response Rehabilitation and Chlorination Survey","This R package provides tools for analyzing and visualizing data from the USAID Flood Response Rehabilitation and Chlorination Survey conducted in Mulanje, Malawi (2019–2020). It includes functions to assess handpump component replacements, evaluate changes in functionality before and after rehabilitation, and identify common repair trends using mWater-collected data.","0.1.0",TRUE,,"Emmanuel Mhango","0000-0003-3197-6244","Emmanuel Mhango","CC BY 4.0",2025-07-01,,,,"10.5281/zenodo.15846578","0.1.0","https://github.com/openwashdata/floodchlorinationsurvey","https://openwashdata.github.io/floodchlorinationsurvey/",1,"v0.1.0","master",2025-06-30,2025-07-09,,TRUE,TRUE,,,,TRUE,FALSE,FALSE -"floodresponsemw","Water Point Assessments - USAID Flood Response Malawi 2019-2020","Field-level data on rural water point status and functionality across Malawi, collected during the USAID Flood Response initiative (2019-2020). Includes GPS locations, flood impact indicators, pump functionality, water quality measurements, and microbial contamination data from mWater mobile assessments.","0.0.0.9000",FALSE,,"Emmanuel Mhango","0000-0003-3197-6244","Emmanuel Mhango","CC BY 4.0",2025-07-16,"flood, floodresponse, waterpoints",,,,"0.0.0.9000","https://github.com/openwashdata/floodresponsemw","https://openwashdata.github.io/floodresponsemw/",1,"v0.0.1","master",2025-06-27,2025-12-15,"flood, floodresponse, waterpoints",TRUE,TRUE,,,,FALSE,FALSE,FALSE +"floodresponsemw","Water Point Assessments - USAID Flood Response Malawi 2019-2020","Field-level data on rural water point status and functionality across Malawi, collected during the USAID Flood Response initiative (2019-2020). Includes GPS locations, flood impact indicators, pump functionality, water quality measurements, and microbial contamination data from mWater mobile assessments.","0.0.2",TRUE,,"Emmanuel Mhango","0000-0003-3197-6244","Emmanuel Mhango","CC BY 4.0",2026-09-23,"open data, washdata, water points, flood response, handpumps, water quality, Malawi","Malawi","2019-05-27/2020-02-26","10.5281/zenodo.17432023","0.0.2","https://github.com/openwashdata/floodresponsemw","https://openwashdata.github.io/floodresponsemw/",1,"v0.0.1","main",2025-06-27,2026-09-23,"flood, floodresponse, waterpoints",TRUE,TRUE,,,,TRUE,TRUE,TRUE "fslogisticskampala","Data on Faecal Sludge Transporting Logistics in Kampala, Uganda","Contains two data resources. `trips` contains the GPS locations of faecal sludge emptying trucks collecting sludge from pit latrines and septic tanks in Kampala, Uganda. Each trip is recorded with a unique identifier, the numberplate of the truck, the date and time of the record. Data was collected from 30th March 2015 until 25th June 2015. `trucks` has additional information on the volume of each truck.","1.0.0",TRUE,,"Lars Schöbitz","0000-0003-2196-5015","Lars Schöbitz","CC BY 4.0",2026-07-08,,,,"10.5281/zenodo.21260446","1.0.0","https://github.com/openwashdata/fslogisticskampala","https://openwashdata.github.io/fslogisticskampala/",2,"v1.0.0","main",2024-07-18,2026-09-04,,TRUE,TRUE,,"main","1.0.0-dev",TRUE,FALSE,FALSE -"fsmglobal","Global Faecal Sludge Emptying Services Demand","Global faecal sludge emptying demand data for 175 countries. Demand is quantified by population size receiving one of four emptying methods (mechanized, non-mechanized, unemptiable, no facility). The demand is disaggregated by rural and urban percentages of population.","0.0.1",TRUE,,"Lars Schöbitz","0000-0003-2196-5015","Nicola Greene; Sarah Hennessy; Tate W. Rogers; Jocelyn Tsai; Francis L. de los Reyes III; Lars Schöbitz","CC BY 4.0",2023-04-26,"faecal, faecal-sludge-emptying, open-data, open-datasets, open-research-data, population-data, r",,,"10.5281/zenodo.8208293","0.0.1","https://github.com/openwashdata/fsmglobal","https://openwashdata.github.io/fsmglobal/",1,"v0.0.1","main",2022-12-13,2023-08-08,"faecal, faecal-sludge-emptying, open-data, open-datasets, open-research-data, population-data, r",TRUE,TRUE,,,,TRUE,FALSE,FALSE +"fsmglobal","Global Faecal Sludge Emptying Services Demand","Global faecal sludge emptying demand data for 175 countries and territories, based on 2017 population figures. Demand is quantified by the population served by one of four emptying methods (mechanized, non-mechanized, unemptiable, no facility). The demand is disaggregated into urban and rural proportions.","0.0.1",TRUE,,"Lars Schöbitz","0000-0003-2196-5015","Nicola Greene; Sarah Hennessy; Tate W. Rogers; Jocelyn Tsai; Francis L. de los Reyes III; Lars Schöbitz","CC BY 4.0",2023-04-26,"open data, washdata, faecal sludge management, emptying services, sanitation, demand, low- and middle-income countries, global","Global, 175 countries and territories in Africa, Asia, Latin America and the Caribbean, and Oceania","2017-01-01/2017-12-31","10.5281/zenodo.8208292","0.0.1","https://github.com/openwashdata/fsmglobal","https://openwashdata.github.io/fsmglobal/",1,"v0.0.1","main",2022-12-13,2026-09-24,"faecal, faecal-sludge-emptying, open-data, open-datasets, open-research-data, population-data, r",TRUE,TRUE,,,,TRUE,TRUE,TRUE "gdho","Global Database of Humanitarian Organizations","A dataset of global humanitarian organizations collected by Humanitarian Outcomes.","0.0.1",TRUE,,"Mian Zhong","0009-0009-4546-7214","Mian Zhong; Abby Stoddard; Tichakunda Mangono","CC BY 4.0",2024-02-29,"humanitarian, humanitarian-aid, open-data, openwashdata, r",,,"10.5281/zenodo.10727977","0.0.1","https://github.com/openwashdata/gdho","https://openwashdata.github.io/gdho/",2,"v0.0.1","main",2023-09-21,2025-07-03,"humanitarian, humanitarian-aid, open-data, openwashdata, r",TRUE,TRUE,,,,TRUE,FALSE,FALSE "glaas","Complete Data from the Global Analysis and Assessment of Sanitation and Drinking-Water (GLAAS)","An R data package providing comprehensive access to the UN-Water Global Analysis and Assessment of Sanitation and Drinking-water (GLAAS) dataset. The WHO GLAAS survey collects data on water, sanitation, and hygiene (WASH) systems, policies, and financing from countries worldwide.","0.2.0",FALSE,,"Adriana Clavijo Daza","0009-0002-0589-2274","Nicolò Massari; Colin Walder; Adriana Clavijo Daza","CC BY 4.0",2026-02-05,"glaas, r, rpackage, wash",,,,"0.2.0","https://github.com/openwashdata/glaas","https://openwashdata.github.io/glaas/",1,"v0.2.0","main",2025-04-28,2026-03-27,"glaas, r, rpackage, wash",FALSE,FALSE,,,,FALSE,FALSE,FALSE -"glossarywho","WHO Glossary","This package provides access to a tidy version of the WHO Glossary (https://www.who.int/publications/i/item/9789240105485) and thematic areas for each term.","0.1.0",TRUE,,"Yash Dubey","0009-0001-2849-970X","Yash Dubey","CC BY 4.0",2025-01-28,,,,"10.5281/zenodo.14754017","0.1.0","https://github.com/openwashdata/glossarywho","https://openwashdata.github.io/glossarywho/",2,"v1.0.1","main",2025-01-28,2025-02-03,,TRUE,TRUE,,,,TRUE,FALSE,FALSE -"grdwtrsmpkwale","Groundwater analysis from 2016 in Kwale, Kenya","""The goal of `grdwtrsmpkwale` is to provide datasets for research and planning of water and solid waste management in Kwale, Kenya. This package includes water anlaysis data collected in 2016 combined with the geospatial data from the collection points.""","0.0.1",FALSE,,"Sebastian Camilo Loos","0000-0002-8830-1734","Sebastian Camilo Loos; Mian Zhong; Rob Hope","CC BY 4.0",2023-10-16,"groundwater, groundwater-data, kenya, opendata, openwashdata, r",,,,"0.0.0.9000","https://github.com/openwashdata/grdwtrsmpkwale","https://openwashdata.github.io/grdwtrsmpkwale/",2,"v0.0.1","main",2023-08-17,2023-10-16,"groundwater, groundwater-data, kenya, opendata, openwashdata, r",TRUE,TRUE,,,,TRUE,FALSE,FALSE -"gwinfraassess","The Groundwater Monitoring Infrastructure Assessment Dataset, Nkhotakota - Malawi (2022)","The Groundwater Monitoring Infrastructure Assessment Dataset (2022) is an open dataset published by BASEflow Malawi. The dataset contains field observations collected during an assessment of groundwater monitoring infrastructure in Nkhotakota District, Malawi. It includes information on monitoring well characteristics, groundwater level measurements, monitoring equipment, site accessibility, infrastructure condition, community awareness, and recommended maintenance and rehabilitation actions.","0.0.0.9000",FALSE,,"Emmanuel Mhango","0000-0003-3197-6244","Emmanuel Mhango","CC BY 4.0",2026-08-07,,,,,,"https://github.com/openwashdata/gwinfraassess","https://openwashdata.github.io/gwinfraassess/",1,"v1.0.0","dev",2026-08-07,2026-08-07,,TRUE,TRUE,,,,FALSE,FALSE,FALSE -"handpumpstatusdata","Chiradzulu Handpump Functionality Verification Survey","This dataset contains detailed field survey records of borehole and handpump functionality verification exercises conducted in Chiradzulu District, Malawi in February 2020.","0.0.0.9000",FALSE,,"Emmanuel Mhango","0000-0003-3197-6244","Emmanuel Mhango","CC BY 4.0",2025-08-12,"handpump, wash, waterpoints",,,,,"https://github.com/openwashdata/handpumpstatusdata","https://openwashdata.github.io/handpumpstatusdata/",1,"v1.0.0","master",2025-08-12,2025-12-15,"handpump, wash, waterpoints",TRUE,TRUE,,,,FALSE,FALSE,FALSE -"hydrogeologicalghana","Hydrogeological Dynamics Data in Ghana","This package contains data on boreholes collected to study the hydrogeological dynamics in the greater Accra and Ashanti regions of Ghana.","0.0.1",TRUE,,"Adriana Clavijo Daza","0009-0002-0589-2274","Benedict Addae-Mensah; Elizabeth Tilley; Adriana Clavijo Daza","CC BY 4.0",2025-08-05,,,,"10.5281/zenodo.16743742","0.0.1","https://github.com/openwashdata/hydrogeologicalghana","https://openwashdata.github.io/hydrogeologicalghana/",1,"v0.0.1","main",2025-07-24,2025-08-05,,TRUE,TRUE,,,,FALSE,FALSE,FALSE +"glossarywho","WHO Glossary","This package provides access to a tidy version of the WHO Glossary (https://www.who.int/publications/i/item/9789240105485) and thematic areas for each term.","1.0.2",TRUE,,"Lars Schöbitz","0000-0003-2196-5015","Yash Dubey; Lars Schöbitz","CC BY 4.0",2025-01-28,"open data, washdata, glossary, health data, health statistics, public health indicators, data governance, WHO","Global","2025-01-01/2025-12-31","10.5281/zenodo.14754016","1.0.2","https://github.com/openwashdata/glossarywho","https://openwashdata.github.io/glossarywho/",2,"v1.0.1","main",2025-01-28,2026-09-24,,TRUE,TRUE,,,,TRUE,TRUE,TRUE +"grdwtrsmpkwale","Groundwater analysis from 2016 in Kwale, Kenya","The goal of grdwtrsmpkwale is to provide datasets for research and planning of water and solid waste management in Kwale, Kenya. This package includes water analysis data collected in 2016 combined with the geospatial data from the collection points.","0.0.1",TRUE,,"Lars Schöbitz","0000-0003-2196-5015","Sebastian Camilo Loos; Mian Zhong; Rob Hope; Lars Schöbitz","CC BY 4.0",2023-10-16,"open data, washdata, groundwater, water quality, Kwale, Kenya","Kwale, Kenya","2016-03-01/2016-06-25","10.5281/zenodo.10016874","0.0.1","https://github.com/openwashdata/grdwtrsmpkwale","https://openwashdata.github.io/grdwtrsmpkwale/",2,"v0.0.1","main",2023-08-17,2026-09-24,"groundwater, groundwater-data, kenya, opendata, openwashdata, r",TRUE,TRUE,,,,TRUE,TRUE,TRUE +"gwinfraassess","Groundwater Monitoring Wells, Nkhotakota, Malawi 2022-2023","The Groundwater Monitoring Infrastructure Assessment Dataset (2022 to 2023) is an open dataset published by BASEflow Malawi. The dataset contains field observations collected during an assessment of groundwater monitoring infrastructure in Nkhotakota District, Malawi. It includes information on monitoring well characteristics, groundwater level measurements, monitoring equipment, site accessibility, infrastructure condition, community awareness, and recommended maintenance and rehabilitation actions.","1.0.1",TRUE,,"Emmanuel Mhango","0000-0003-3197-6244","Emmanuel Mhango","CC BY 4.0",2026-08-07,"open data, washdata, groundwater, groundwater monitoring, monitoring wells, water levels, Malawi","Nkhotakota, Malawi","2022-02-08/2023-10-04","10.5281/zenodo.21839342","1.0.1","https://github.com/openwashdata/gwinfraassess","https://openwashdata.github.io/gwinfraassess/",1,"v1.0.0","main",2026-08-07,2026-09-23,,TRUE,TRUE,,,,TRUE,TRUE,TRUE +"handpumpstatusdata","Chiradzulu Handpump Functionality Verification Survey","This dataset contains detailed field survey records of borehole and handpump functionality verification exercises conducted in Chiradzulu District, Malawi in February 2020.","1.0.1",TRUE,,"Emmanuel Mhango","0000-0003-3197-6244","Emmanuel Mhango","CC BY 4.0",2026-09-23,"open data, washdata, handpumps, boreholes, water point functionality, water supply, Malawi","Chiradzulu, Malawi","2020-02-06/2020-11-06","10.5281/zenodo.17474593","1.0.1","https://github.com/openwashdata/handpumpstatusdata","https://openwashdata.github.io/handpumpstatusdata/",1,"v1.0.0","main",2025-08-12,2026-09-23,"handpump, wash, waterpoints",TRUE,TRUE,,,,TRUE,TRUE,TRUE +"hydrogeologicalghana","Hydrogeological Dynamics Data in Ghana","This package contains data on boreholes collected to study the hydrogeological dynamics in the greater Accra and Ashanti regions of Ghana.","0.0.1",TRUE,,"Adriana Clavijo Daza","0009-0002-0589-2274","Benedict Addae-Mensah; Elizabeth Tilley; Adriana Clavijo Daza","CC BY 4.0",2025-08-05,"open data, washdata, boreholes, groundwater, hydrogeology, pumping tests, aquifers, Ghana","Greater Accra and Ashanti regions, Ghana","2001-01-01/2001-01-03","10.5281/zenodo.16743741","0.0.1","https://github.com/openwashdata/hydrogeologicalghana","https://openwashdata.github.io/hydrogeologicalghana/",1,"v0.0.1","main",2025-07-24,2026-09-24,,TRUE,TRUE,,,,TRUE,TRUE,TRUE "jmpdata","Input Data and Indicator Estimates from the WHO/UNICEF Joint Monitoring Programme","Contains two data resources from the WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene. `jmpraw` holds the survey-level input data on sanitation that underlies the JMP estimates, collected from the country files published on . `jmpindicators` holds the modelled JMP indicator estimates for water, sanitation and hygiene from the JMP world file. Both datasets are packaged from the JMP 2025 release.","0.1.0",FALSE,,"Lars Schöbitz","0000-0003-2196-5015","Lars Schöbitz","CC BY 4.0",2026-08-20,,,,,"0.1.0","https://github.com/openwashdata/jmpdata","https://openwashdata.github.io/jmpdata/",2,"v0.1.0","main",2022-04-26,2026-08-20,,TRUE,TRUE,,,,FALSE,FALSE,FALSE -"mwefloodresponse","Malawi Emergency Flood Response Water Point Survey (2019–2020)","This dataset contains water point assessment data collected during an emergency flood response in Malawi between 2019 and 2020. The survey was conducted under the BASEflow program to evaluate the status, functionality, and safety of water points affected by flooding events.","0.0.0.9000",FALSE,,"Emmanuel Mhango","0000-0003-3197-6244","Emmanuel Mhango","CC BY 4.0",2026-02-20,"sanitation, wash, water",,,,,"https://github.com/openwashdata/mwefloodresponse","https://openwashdata.github.io/mwefloodresponse/",1,"v.0.0.1","master",2026-02-20,2026-02-26,"sanitation, wash, water",TRUE,TRUE,,,,FALSE,FALSE,FALSE -"mwgroundwaterdata","Malawi Groundwater Monitoring Time-Series Dataset (2024–2025)","This dataset contains groundwater monitoring data collected from monitoring wells across 10 districts in Malawi between 2024 and 2025. The data were captured using automated data loggers installed in monitoring wells and were collected and managed by BASEflow. The dataset provides time-series measurements of key groundwater parameters, enabling detailed analysis of aquifer behavior across multiple geographic locations.","0.0.0.9000",FALSE,,"Emmanuel Mhango","0000-0003-3197-6244","Emmanuel Mhango","CC BY 4.0",2026-02-26,"groundwater, sanitation, wash, water, watermonitoring",,,,,"https://github.com/openwashdata/mwgroundwaterdata","https://openwashdata.github.io/mwgroundwaterdata/",1,"v.0.0.1","main",2026-02-26,2026-02-27,"groundwater, sanitation, wash, water, watermonitoring",TRUE,TRUE,,,,FALSE,FALSE,FALSE -"nchalohhwatersurvey","What the Package Does (One Line, Title Case)","What the package does (one paragraph).","0.0.0.9000",FALSE,,"Emmanuel Mhango","0000-0003-3197-6244","Emmanuel Mhango","CC BY 4.0",2025-06-27,"hygiene, sanitation, wash",,,,,"https://github.com/openwashdata/nchalohhwatersurvey","https://openwashdata.github.io/nchalohhwatersurvey/",1,"v1.0.0","master",2025-06-27,2025-11-04,"hygiene, sanitation, wash",TRUE,TRUE,,,,FALSE,FALSE,FALSE -"planetaryhdi","Planetary Pressures Adjusted Human Development Index Data","Provides data on Planetary Pressures Adjusted Human Development, adjusted by carbon emissions per capita (production related) and materials footprint per capita.","0.1.0",TRUE,,"Yash Dubey",,"Yash Dubey","CC BY 4.0",2024-12-10,"emissions-per-capita, hdi, planetary-pressures, sdgs",,,"10.5281/zenodo.14355748","0.1.0","https://github.com/openwashdata/planetaryhdi","https://openwashdata.github.io/planetaryhdi/",1,"0.0.2","main",2024-12-10,2024-12-10,"emissions-per-capita, hdi, planetary-pressures, sdgs",TRUE,TRUE,,,,TRUE,FALSE,FALSE -"ploswater","Data on Publications in PLOS Water Journal","Provides access to publishing trends from PLOS Water Journal.","0.0.0.9000",TRUE,,"Yash Dubey","0009-0001-2849-970X","Yash Dubey","CC BY 4.0",2025-01-08,,,,"10.5281/zenodo.14616993","0.0.0.9000","https://github.com/openwashdata/ploswater","https://openwashdata.github.io/ploswater/",1,"v1.0.2","main",2025-01-08,2025-01-08,,TRUE,TRUE,,,,TRUE,FALSE,FALSE -"portawaterperu","A Preliminary Review of Peruvian Potable Water System Data","Data to gain preliminary understanding of community potable water systems in Peru.","0.0.1",FALSE,,"Sebastian Camilo Loos","0000-0002-8830-1734","Lauren Judah; Sebastian Camilo Loos; Mian Zhong","CC BY 4.0",2024-07-24,,,,,"0.0.0.9000","https://github.com/openwashdata/portawaterperu","https://openwashdata.github.io/portawaterperu/",1,"v0.0.1","main",2024-06-18,2024-07-30,,TRUE,TRUE,,,,TRUE,FALSE,FALSE -"postfloodintervention","USAID Flood Response Post Intervention Survey Data","Post-intervention monitoring data for rural water points in the Mulanje district of Malawi, collected as part of the USAID Flood Response program during 2019-2020. The dataset includes comprehensive water point assessments covering physical condition, operational performance, hydraulic measurements, water quality parameters, and microbiological quality assessments.","0.1.0",TRUE,,"Emmanuel Mhango","0000-0003-3197-6244","Emmanuel Mhango","CC BY 4.0",,,,,"10.5281/zenodo.15837461","0.1.0","https://github.com/openwashdata/postfloodintervention","https://openwashdata.github.io/postfloodintervention/",1,"v0.1.1","master",2025-07-01,2025-07-08,,TRUE,TRUE,,,,FALSE,FALSE,FALSE -"rainwaterhsurvey","Rainwater Harvesting and Groundwater Recharge Household Survey (BASEflow, 2025)","This dataset contains household-level survey data collected in 2025 under the BASEflow monitoring and data systems using the mWater digital data collection platform. The survey was conducted across selected communities to assess household water access conditions, perceptions of groundwater systems, and adoption of rainwater harvesting (RWH) practices.","0.0.0.9000",FALSE,,"Emmanuel Mhango","0000-0003-3197-6244","Emmanuel Mhango","CC BY 4.0",2026-04-16,"baseflow, groundwater, opendatawash, rainwater-harvesting",,,,,"https://github.com/openwashdata/rainwaterhsurvey","https://openwashdata.github.io/rainwaterhsurvey/",1,"v1.0.0","main",2026-04-16,2026-04-16,"baseflow, groundwater, opendatawash, rainwater-harvesting",TRUE,TRUE,,,,FALSE,FALSE,FALSE -"rwpfunctionality","Water point functionality assessment in nine sub-Saharan Africa and South Asia countries","Water point monitoring data associated with the paper ""[Rural water point functionality estimates and associations: evidence from nine countries in sub-Saharan Africa and South Asia](https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2023WR034679)"" (Murray, Anna L et al., 2024).","0.0.1",TRUE,,"Margaux Götschmann","0009-0002-2567-3343","Margaux Götschmann; Anna L. Murray; Gabriela Stone; Audrey R. Yang; Nicholas F. Lawrence; Hannah Matthews; Georgia L. Kayser","CC BY 4.0",2024-03-11,"management, open-data, r, wash, water, waterpoint",,,"10.5281/zenodo.10878635","0.0.1","https://github.com/openwashdata/rwpfunctionality","https://openwashdata.github.io/rwpfunctionality/",1,"v0.0.1","main",2024-03-11,2024-03-26,"management, open-data, r, wash, water, waterpoint",TRUE,TRUE,,,,TRUE,FALSE,FALSE -"saniabidjan","Data About Behavior and Practices of Managing Sanitation Facilties in Abidjan, Cote d’Ivoire","This data package contains household survey data collected from two low-income areas of Abidjan, Cote d'Ivoire. The survey was focusing on practices related to the management of sanitation facilities, specifically, latrines and tanks.","0.0.1",TRUE,,"Mian Zhong","0009-0009-4546-7214","Phaniwa Zié Zoumana Coulibaly; Kouassi Dongo; Mian Zhong","CC BY 4.0",2024-07-30,"abidjan, cote-d-ivoire, household-surveys, open-data, openwashdata, r, sanitation, wash, water-management",,,"10.5281/zenodo.13134220","0.0.1","https://github.com/openwashdata/saniabidjan","https://openwashdata.github.io/saniabidjan/",1,"v0.0.1","main",2024-07-03,2024-09-16,"abidjan, cote-d-ivoire, household-surveys, open-data, openwashdata, r, sanitation, wash, water-management",TRUE,TRUE,,,,TRUE,FALSE,FALSE -"solidwastekampala","Quantity and Composition of Domestic Solid Waste in Kampala City","Domestic solid waste generation and composition data for 103 households in Kampala City, Uganda, collected over a seven-day measurement campaign in three parishes representing different income levels (Bwaise I, low income; Bukoto I, middle income; Ggaba, high income). Includes ten measured waste-category masses, derived per-household metrics, and household socio-economic characteristics. The data accompany the manuscript ""Quantity and Composition of Domestic Solid Waste in Kampala City as Influenced by Socio-Economic Factors"" (Katukiza et al., Makerere University).","1.0.0",TRUE,,"Lars Schöbitz","0000-0003-2196-5015","Alex Y. Katukiza; Charles B. Niwagaba; Ivan Feni; Shaluwa Namagembe; Swaib Semiyaga; Abubakar Batte; Lars Schöbitz; Musa Manga","CC BY 4.0",2026-07-24,,,,"10.5281/zenodo.21519797","1.0.0","https://github.com/openwashdata/solidwastekampala","https://openwashdata.github.io/solidwastekampala/",1,"v1.0.0","main",2026-07-22,2026-07-28,,TRUE,TRUE,,,"1.0.0",TRUE,FALSE,FALSE -"thyolocbcc","WASH and Sanitation Survey in Community-Based Childcare Centres – Thyolo and Chikwawa, Malawi (2021)","This dataset provides detailed information on Water, Sanitation, and Hygiene (WASH) conditions and related management practices in Community-Based Childcare Centres (CBCCs) across Thyolo and Chikwawa Districts in Malawi, collected in 2021. Data were gathered by BASEflow using the mWater digital data collection platform..","0.0.0.9000",FALSE,,"Emmanuel Mhango","0000-0003-3197-6244","Emmanuel Mhango","CC BY 4.0",2025-11-06,"baseflow, cbcc, hygiene, openwashdata, sanitation, wash",,,,,"https://github.com/openwashdata/thyolocbcc","https://openwashdata.github.io/thyolocbcc/",1,"v1.0.0","master",2025-06-24,2025-11-06,"baseflow, cbcc, hygiene, openwashdata, sanitation, wash",TRUE,TRUE,,,,FALSE,FALSE,FALSE -"ugabore","Borehole repair data from central Uganda","Data set about borehole repair records from the borehole operation and maintenance company operating in central Uganda. Population data is picked as an interview from a representative of the Local Water User Committees (LWUCs). The data on the technical specifications about the borehole is picked from the borehole records file from the company.","0.0.1",TRUE,,"Margaux Götschmann","0009-0002-2567-3343","Margaux Götschmann; Joseph Lwere","CC BY 4.0",2024-05-21,"analysis, borehole, data, open-data, r, uganda, wash, water",,,"10.5281/zenodo.12188179","0.0.1","https://github.com/openwashdata/ugabore","https://openwashdata.github.io/ugabore/",1,"v.0.0.1","main",2024-04-30,2024-06-20,"analysis, borehole, data, open-data, r, uganda, wash, water",TRUE,TRUE,,,,TRUE,FALSE,FALSE -"undpcomposite","UNDP Composite Indicators Timeseries","Provides tidy data about all UNDP indicators in a composite timeseries.","0.1.0",TRUE,,"Yash Dubey","0009-0001-2849-970X","Yash Dubey","CC BY 4.0",2025-02-10,,,,"10.5281/zenodo.14845848","0.1.0","https://github.com/openwashdata/undpcomposite","https://openwashdata.github.io/undpcomposite/",1,"v1.0.0","main",2025-02-10,2025-02-11,,TRUE,TRUE,,,,TRUE,FALSE,FALSE -"unhcrwash","WASH Data From Refugee Camps and Settlements (UNHCR)","This is a dataset on WASH indicators in refugee camps and settlements. The data was collected from the UNHCR Information Management System (IRIS) and was available on the UNHCR WASH dashboard. This dataset includes data from 227 sites and 36 countries. The source dashboard has since been retired and the data now sits behind the login-gated iRHIS portal, so this dataset is a fixed historical snapshot (2013 to 2024) that can no longer be regenerated.","1.1.0",TRUE,,"Lars Schöbitz","0000-0003-2196-5015","Lars Schöbitz; Yash Dubey","CC BY 4.0",2026-06-22,,,,"10.5281/zenodo.14185117","1.1.0","https://github.com/openwashdata/unhcrwash","https://openwashdata.github.io/unhcrwash/",1,"v1.1.0","main",2024-11-13,2026-06-22,,TRUE,TRUE,,,,FALSE,FALSE,FALSE -"universityrankingafrica","University Ranking Africa","Data from institutional and national levels was combined into a dataset to provide a comprehensive characterization of the top ranked Universities of every African country. This was done to demonstrate the correlation of certain attributes with the academic ranking performance. The dataset also highlights the difficulties of accessing data from many African Universities online.","0.0.0.9000",FALSE,,"Sophia Skorik","0009-0001-4755-1649","Samuel Sigrist; Sophia Skorik","CC BY 4.0",2023-10-30,"africa, openwashdata, r, university-ranking",,,,"0.0.0.9000","https://github.com/openwashdata/universityrankingafrica","https://openwashdata.github.io/universityrankingafrica/",2,"v0.0.1","main",2023-12-04,2023-12-14,"africa, openwashdata, r, university-ranking",TRUE,TRUE,,,,TRUE,FALSE,FALSE -"waschoolpiracema","WASH in Schools in Piracema, Brazil","The main goal of this study was to describe the profile of schools from the basic education system in the municipality of Piracema (Minas Gerais, Brazil). Moreover, we also aimed to compare the characteristics of schools, with a special concern to WASH, pre- (2020), peri- (2021) and post-COVID-19 pandemic (2022) to evaluate to what extend schools in Piracema made progress in providing WASH since the beginning of the COVID-19 pandemic. This study is a sub-project of a PhD project and an initial study comparing the BNSC from 2020 and 2021 has already been conducted and published by the author of this project (for more details see references). Findings will be essential for the next phase of the research, which will be the collection of primary data in schools in the municipality of Piracema through qualitative methods (interviews, on-spot observations and art-based research).","0.0.1",TRUE,,"Alexis Tabin","0009-0004-4908-9250","Alexis Tabin; Kasandra Poague; Mian Zhong","CC BY 4.0",2024-07-09,"brazil, opendata, openwashdata, piracema, r, sanitation, wash",,,"10.5281/zenodo.12701107","0.0.1","https://github.com/openwashdata/waschoolpiracema","https://openwashdata.github.io/waschoolpiracema/",1,"v0.0.1","main",2024-06-18,2024-07-09,"brazil, opendata, openwashdata, piracema, r, sanitation, wash",TRUE,TRUE,,,,TRUE,FALSE,FALSE -"washdataportalsl","What the Package Does (One Line, Title Case)","What the package does (one paragraph).","0.0.0.9000",FALSE,,"First Last","YOUR-ORCID-ID","First Last","`use_mit_license()`, `use_gpl3_license()` or friends to pick a license",,,,,,,"https://github.com/openwashdata/washdataportalsl","https://openwashdata.github.io/washdataportalsl/",1,,"main",2025-03-10,2025-03-10,,TRUE,TRUE,,,,FALSE,FALSE,FALSE -"washinvestments","Multilateral development banks investment behaviour in water and sanitation","Dataset on multilateral development bank (MDB) investment in water supply and sanitation between 1960 and 2020 compiled by drawing on on 3,639 water and sanitation projects to assess territorial trends, technology choices, distribution of financial burdens, and reforms to institutional arrangements.","0.0.1",TRUE,,"Margaux Götschmann","0009-0002-2567-3343","Margaux Götschmann; Andri Heidler; Muhil Nesi; Josiane Nikiema; Christoph Lüthi","CC BY 4.0",2024-05-16,"africa, asia, investment, mdb, open-data, r, sanitation, wash, water",,,"10.5281/zenodo.11203434","0.0.1","https://github.com/openwashdata/washinvestments","https://openwashdata.github.io/washinvestments/",1,"v0.0.1","main",2024-03-11,2026-07-08,"africa, asia, investment, mdb, open-data, r, sanitation, wash, water",TRUE,TRUE,,,,TRUE,FALSE,FALSE +"mwefloodresponse","Malawi Emergency Flood Response Water Point Survey (2019–2020)","This dataset contains water point assessment data collected during an emergency flood response in Malawi between 2019 and 2020. The survey was conducted under the BASEflow program to evaluate the status, functionality, and safety of water points affected by flooding events.","0.0.2",TRUE,,"Emmanuel Mhango","0000-0003-3197-6244","Emmanuel Mhango","CC BY 4.0",2026-09-23,"open data, washdata, floods, emergency response, water points, water quality, Malawi","Southern Region, Malawi","2019-04-03/2020-02-12","10.5281/zenodo.18755616","0.0.2","https://github.com/openwashdata/mwefloodresponse","https://openwashdata.github.io/mwefloodresponse/",1,"v.0.0.1","main",2026-02-20,2026-09-23,"sanitation, wash, water",TRUE,TRUE,,,,TRUE,TRUE,TRUE +"mwgroundwaterdata","Malawi Groundwater Monitoring Time-Series Dataset (2024–2025)","This dataset contains groundwater monitoring data collected from monitoring wells across 9 districts in Malawi between 2024 and 2025. The data were captured using automated data loggers installed in monitoring wells and were collected and managed by BASEflow. The dataset provides time-series measurements of key groundwater parameters, enabling detailed analysis of aquifer behavior across multiple geographic locations.","0.0.2",TRUE,,"Emmanuel Mhango","0000-0003-3197-6244","Emmanuel Mhango","CC BY 4.0",2026-09-23,"open data, washdata, groundwater, groundwater monitoring, water level, water quality, Malawi","Southern Region, Malawi","2024-12-31/2025-02-07","10.5281/zenodo.18798409","0.0.2","https://github.com/openwashdata/mwgroundwaterdata","https://openwashdata.github.io/mwgroundwaterdata/",1,"v.0.0.1","main",2026-02-26,2026-09-23,"groundwater, sanitation, wash, water, watermonitoring",TRUE,TRUE,,,,TRUE,TRUE,TRUE +"nchalohhwatersurvey","Nchalo Water Project Household Survey 2021","Household and community survey data from rural communities around Nchalo, Malawi. Includes water access, livelihoods, governance, and infrastructure information collected via mWater platform to support water supply planning and rural development.","1.0.1",TRUE,,"Emmanuel Mhango","0000-0003-3197-6244","Emmanuel Mhango","CC BY 4.0",2026-09-23,"open data, washdata, household survey, water supply, boreholes, livelihoods, Nchalo, Malawi","Nchalo, Malawi","2021-04-07/2021-04-08","10.5281/zenodo.17522182","1.0.1","https://github.com/openwashdata/nchalohhwatersurvey","https://openwashdata.github.io/nchalohhwatersurvey/",1,"v1.0.0","main",2025-06-27,2026-09-23,"hygiene, sanitation, wash",TRUE,TRUE,,,,TRUE,TRUE,TRUE +"planetaryhdi","Planetary Pressures Adjusted Human Development Index Data","Provides data on Planetary Pressures Adjusted Human Development, adjusted by carbon emissions per capita (production related) and materials footprint per capita.","0.1.1",TRUE,,"Lars Schöbitz","0000-0003-2196-5015","Yash Dubey; Lars Schöbitz","CC BY 4.0",2024-12-10,"open data, washdata, human development index, planetary pressures, carbon dioxide emissions, material footprint, sdgs","Worldwide","2021-01-01/2022-12-31","10.5281/zenodo.14355747","0.1.1","https://github.com/openwashdata/planetaryhdi","https://openwashdata.github.io/planetaryhdi/",1,"0.0.2","main",2024-12-10,2026-09-24,"emissions-per-capita, hdi, planetary-pressures, sdgs",TRUE,TRUE,,,,TRUE,TRUE,TRUE +"portawaterperu","A Preliminary Review of Peruvian Potable Water System Data","Data to gain preliminary understanding of community potable water systems in Peru.","0.0.1",TRUE,,"Lars Schöbitz","0000-0003-2196-5015","Lauren Judah; Sebastian Camilo Loos; Mian Zhong; Lars Schöbitz","CC BY 4.0",2024-07-24,"open data, washdata, water supply, community water systems, drinking water, SIASAR, Peru","Peru","2015-06-02/2015-12-19","10.5281/zenodo.13134309","0.0.1","https://github.com/openwashdata/portawaterperu","https://openwashdata.github.io/portawaterperu/",1,"v0.0.1","main",2024-06-18,2026-09-24,,TRUE,TRUE,,,,TRUE,TRUE,TRUE +"postfloodintervention","USAID Flood Response Post Intervention Survey Data","Post-intervention monitoring data for rural water points in the Mulanje district of Malawi, collected as part of the USAID Flood Response program during 2019-2020. The dataset includes comprehensive water point assessments covering physical condition, operational performance, hydraulic measurements, water quality parameters, and microbiological quality assessments.","0.1.2",TRUE,,"Emmanuel Mhango","0000-0003-3197-6244","Emmanuel Mhango","CC BY 4.0",2025-07-08,"open data, washdata, water points, water quality, boreholes, rehabilitation, flood response, E. coli, Malawi","Mulanje, Malawi","2019-06-13/2020-03-09","10.5281/zenodo.15837460","0.1.2","https://github.com/openwashdata/postfloodintervention","https://openwashdata.github.io/postfloodintervention/",1,"v0.1.1","main",2025-07-01,2026-09-24,,TRUE,TRUE,,,,TRUE,TRUE,TRUE +"rainwaterhsurvey","Rainwater Harvesting and Groundwater Recharge Survey, Malawi 2025","This dataset contains household-level survey data collected in 2025 under the BASEflow monitoring and data systems using the mWater digital data collection platform. The survey was conducted across selected communities to assess household water access conditions, perceptions of groundwater systems, and adoption of rainwater harvesting (RWH) practices.","1.0.1",TRUE,,"Emmanuel Mhango","0000-0003-3197-6244","Emmanuel Mhango","CC BY 4.0",2026-09-23,"open data, washdata, rainwater harvesting, groundwater recharge, household survey, water scarcity, Malawi","Balaka, Chikwawa and Machinga, Malawi","2025-01-01/2025-12-31","10.5281/zenodo.19610496","1.0.1","https://github.com/openwashdata/rainwaterhsurvey","https://openwashdata.github.io/rainwaterhsurvey/",1,"v1.0.0","main",2026-04-16,2026-09-23,"baseflow, groundwater, opendatawash, rainwater-harvesting",TRUE,TRUE,,,,TRUE,TRUE,TRUE +"rwpfunctionality","Water point functionality in sub-Saharan Africa and South Asia","Water point monitoring data associated with the paper ""[Rural water point functionality estimates and associations: evidence from nine countries in sub-Saharan Africa and South Asia](https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2023WR034679)"" (Murray, Anna L et al., 2024).","0.0.1",TRUE,,"Lars Schöbitz","0000-0003-2196-5015","Margaux Götschmann; Anna L. Murray; Gabriela Stone; Audrey R. Yang; Nicholas F. Lawrence; Hannah Matthews; Georgia L. Kayser; Lars Schöbitz","CC BY 4.0",2024-03-11,"open data, washdata, water points, functionality, rural water supply, water committees, Ethiopia, India, Malawi, Mali, Mozambique, Nepal, Niger, Rwanda, Uganda","Ethiopia, India, Malawi, Mali, Mozambique, Nepal, Niger, Rwanda, Uganda","2017-05-22/2020-12-19","10.5281/zenodo.10878634","0.0.1","https://github.com/openwashdata/rwpfunctionality","https://openwashdata.github.io/rwpfunctionality/",1,"v0.0.1","main",2024-03-11,2026-09-24,"management, open-data, r, wash, water, waterpoint",TRUE,TRUE,,,,TRUE,TRUE,TRUE +"saniabidjan","Sanitation Facility Management in Abidjan, Cote d'Ivoire, 2018","This data package contains household survey data collected from two low-income areas of Abidjan, Cote d'Ivoire. The survey was focusing on practices related to the management of sanitation facilities, specifically, latrines and tanks.","0.0.1",TRUE,,"Lars Schöbitz","0000-0003-2196-5015","Phaniwa Zié Zoumana Coulibaly; Kouassi Dongo; Mian Zhong; Lars Schöbitz","CC BY 4.0",2024-07-30,"open data, washdata, sanitation, latrines, septic tanks, faecal sludge emptying, household survey, Abidjan, Cote d'Ivoire","Abobo and Yopougon, Abidjan, Cote d'Ivoire","2018-04-17/2018-04-21","10.5281/zenodo.13134219","0.0.1","https://github.com/openwashdata/saniabidjan","https://openwashdata.github.io/saniabidjan/",1,"v0.0.1","main",2024-07-03,2026-09-24,"abidjan, cote-d-ivoire, household-surveys, open-data, openwashdata, r, sanitation, wash, water-management",TRUE,TRUE,,,,TRUE,TRUE,TRUE +"solidwastekampala","Quantity and Composition of Domestic Solid Waste in Kampala City","Domestic solid waste generation and composition data for 103 households in Kampala City, Uganda, collected over a seven-day measurement campaign in three parishes representing different income levels (Bwaise I, low income; Bukoto I, middle income; Ggaba, high income). Includes ten measured waste-category masses, derived per-household metrics, and household socio-economic characteristics. The data accompany the paper ""Quantity and composition of domestic solid waste in Kampala City as influenced by socioeconomic factors"" (Katukiza et al. 2026, Frontiers in Environmental Science, ).","1.0.2",TRUE,,"Lars Schöbitz","0000-0003-2196-5015","Alex Y. Katukiza; Charles B. Niwagaba; Ivan Feni; Shaluwa Namagembe; Swaib Semiyaga; Abubakar Batte; Lars Schöbitz; Musa Manga","CC BY 4.0",2026-09-23,"open data, washdata, solid waste, household waste, waste generation, waste composition, Kampala, Uganda","Kampala, Uganda","2025-01-14/2025-03-13","10.5281/zenodo.21519796","1.0.2","https://github.com/openwashdata/solidwastekampala","https://openwashdata.github.io/solidwastekampala/",1,"v1.0.1","main",2026-07-22,2026-09-24,,TRUE,TRUE,,,"1.0.0",TRUE,TRUE,TRUE +"thyolocbcc","WASH in Childcare Centres in Thyolo and Chikwawa, Malawi (2021)","This dataset provides detailed information on Water, Sanitation, and Hygiene (WASH) conditions and related management practices in Community-Based Childcare Centres (CBCCs) across Thyolo and Chikwawa Districts in Malawi, collected in 2021. Data were gathered by BASEflow using the mWater digital data collection platform.","1.0.1",TRUE,,"Emmanuel Mhango","0000-0003-3197-6244","Emmanuel Mhango","CC BY 4.0",2026-09-23,"open data, washdata, childcare centres, early childhood development, sanitation, hygiene, water supply, Malawi","Thyolo and Chikwawa, Malawi","2021-08-23/2021-10-25","10.5281/zenodo.17540498","1.0.1","https://github.com/openwashdata/thyolocbcc","https://openwashdata.github.io/thyolocbcc/",1,"v1.0.0","main",2025-06-24,2026-09-23,"baseflow, cbcc, hygiene, openwashdata, sanitation, wash",TRUE,TRUE,,,,TRUE,TRUE,TRUE +"ugabore","Borehole repair data from central Uganda","Data set about borehole repair records from the borehole operation and maintenance company operating in central Uganda. Population data is picked as an interview from a representative of the Local Water User Committees (LWUCs). The data on the technical specifications about the borehole is picked from the borehole records file from the company.","0.0.1",TRUE,,"Lars Schöbitz","0000-0003-2196-5015","Margaux Götschmann; Joseph Lwere; Lars Schöbitz","CC BY 4.0",2024-06-20,"open data, washdata, boreholes, borehole repair, operation and maintenance, groundwater, water supply, Uganda","Luwero, Wakiso and Nakaseke districts, Central Region, Uganda","2021-10-28/2023-11-25","10.5281/zenodo.12188178","0.0.1","https://github.com/openwashdata/ugabore","https://openwashdata.github.io/ugabore/",1,"v.0.0.1","main",2024-04-30,2026-09-24,"analysis, borehole, data, open-data, r, uganda, wash, water",TRUE,TRUE,,,,TRUE,TRUE,TRUE +"undpcomposite","UNDP Composite Indicators Timeseries","Provides tidy data on the composite indices of the UNDP Human Development Report 2023/2024 (HDI, GDI, IHDI, GII and PHDI) and their components as a time series from 1990 to 2022 for 195 countries and territories and 11 UNDP aggregates.","1.0.1",TRUE,,"Lars Schöbitz","0000-0003-2196-5015","Yash Dubey; Lars Schöbitz","CC BY 4.0",2025-02-10,"open data, washdata, human development index, gender development index, gender inequality index, inequality, planetary pressures, time series, sdgs","Worldwide","1990-01-01/2022-12-31","10.5281/zenodo.14845847","1.0.1","https://github.com/openwashdata/undpcomposite","https://openwashdata.github.io/undpcomposite/",1,"v1.0.0","main",2025-02-10,2026-09-24,,TRUE,TRUE,,,,TRUE,TRUE,TRUE +"unhcrwash","WASH Data From Refugee Camps and Settlements (UNHCR)","This is a dataset on WASH indicators in refugee camps and settlements. The data was collected from the UNHCR Information Management System (IRIS) and was available on the UNHCR WASH dashboard. This dataset includes data from 226 sites and 35 countries. The source dashboard has since been retired and the data now sits behind the login-gated iRHIS portal, so this dataset is a fixed historical snapshot (2013 to 2024) that can no longer be regenerated.","1.1.0",TRUE,,"Lars Schöbitz","0000-0003-2196-5015","Lars Schöbitz; Yash Dubey","CC BY 4.0",2026-06-22,"open data, washdata, refugee camps, refugee settlements, humanitarian WASH, water supply, sanitation, hygiene, UNHCR","Refugee camps and settlements in 35 countries in Africa, the Middle East, Asia and Latin America","2013-09-30/2024-12-31","10.5281/zenodo.14185116","1.1.0","https://github.com/openwashdata/unhcrwash","https://openwashdata.github.io/unhcrwash/",1,"v1.1.0","main",2024-11-13,2026-09-24,,TRUE,TRUE,,,,TRUE,TRUE,TRUE +"universityrankingafrica","University Ranking Africa","Data from institutional and national levels was combined into a dataset to provide a comprehensive characterization of the top ranked Universities of every African country. This was done to demonstrate the correlation of certain attributes with the academic ranking performance. The dataset also highlights the difficulties of accessing data from many African Universities online.","0.0.2",TRUE,,"Lars Schöbitz","0000-0003-2196-5015","Samuel Sigrist; Sophia Skorik; Lars Schöbitz","CC BY 4.0",2026-09-23,"open data, washdata, universities, higher education, university rankings, Africa","Africa","2023-04-24/2023-06-23","10.5281/zenodo.10284864","0.0.2","https://github.com/openwashdata/universityrankingafrica","https://openwashdata.github.io/universityrankingafrica/",2,"v0.0.1","main",2023-12-04,2026-09-24,"africa, openwashdata, r, university-ranking",TRUE,TRUE,,,,TRUE,TRUE,TRUE +"waschoolpiracema","WASH in Schools in Piracema, Brazil","The main goal of this study was to describe the profile of schools from the basic education system in the municipality of Piracema (Minas Gerais, Brazil). Moreover, we also aimed to compare the characteristics of schools, with a special concern to WASH, pre- (2020), peri- (2021) and post-COVID-19 pandemic (2022) to evaluate to what extend schools in Piracema made progress in providing WASH since the beginning of the COVID-19 pandemic. This study is a sub-project of a PhD project and an initial study comparing the BNSC from 2020 and 2021 has already been conducted and published by the author of this project (for more details see references). Findings will be essential for the next phase of the research, which will be the collection of primary data in schools in the municipality of Piracema through qualitative methods (interviews, on-spot observations and art-based research).","0.0.1",TRUE,,"Alexis Tabin","0009-0004-4908-9250","Alexis Tabin; Kasandra Poague; Mian Zhong","CC BY 4.0",2024-07-09,"open data, washdata, WASH in schools, water supply, sanitation, solid waste, school census, Piracema, Minas Gerais, Brazil","Piracema, Minas Gerais, Brazil","2020-01-01/2022-12-31","10.5281/zenodo.12701106","0.0.1","https://github.com/openwashdata/waschoolpiracema","https://openwashdata.github.io/waschoolpiracema/",1,"v0.0.1","main",2024-06-18,2026-09-24,"brazil, opendata, openwashdata, piracema, r, sanitation, wash",TRUE,TRUE,,,,TRUE,TRUE,TRUE +"washinvestments","Multilateral Development Bank Investment in Water and Sanitation","Dataset on multilateral development bank (MDB) investment in water supply and sanitation: 1,873 project records of the World Bank, the African Development Bank and the Asian Development Bank, approved between 1963 and 2020, compiled to assess territorial trends, technology choices, distribution of financial burdens, and reforms to institutional arrangements. Most records are for projects in Africa and Asia.","0.0.1",TRUE,,"Lars Schöbitz","0000-0003-2196-5015","Margaux Götschmann; Andri Heidler; Muhil Nesi; Josiane Nikiema; Christoph Lüthi; Lars Schöbitz","CC BY 4.0",2024-05-16,"open data, washdata, multilateral development banks, investment, water supply, sanitation, Africa, Asia","Global, 149 countries in Africa, Asia, Latin America and the Caribbean, Europe and Oceania","1963-01-01/2020-12-31","10.5281/zenodo.11203433","0.0.1","https://github.com/openwashdata/washinvestments","https://openwashdata.github.io/washinvestments/",1,"v0.0.1","main",2024-03-11,2026-09-24,"africa, asia, investment, mdb, open-data, r, sanitation, wash, water",TRUE,TRUE,,,"1.0.0",TRUE,TRUE,TRUE "washmalawi","WASH Household Level Survey Data 2018 - 2023","This package provides access to Water, Sanitation, and Hygiene (WASH) household-level survey data collected in Malawi between 2018 and 2023. The dataset includes comprehensive indicators for monitoring WASH-related Sustainable Development Goals at the household level.","1.0.1",TRUE,,"Emmanuel Mhango","0000-0003-3197-6244","Emmanuel Mhango; Donald Robertson; Chifundo Mandala; M Nzengo; Muthi Nhlema; M. Banda; Khumbo Zinyongo; Christian Nedi; Leman Ngwena; M Kazembe; Yankho Mthindi; E. Mofolo; Jeffrey Bauleni; Khallen Malliot; Thandi Mtemangombe; Tamandani Tembo; Samuel Mlenga; Dufter Joshua; Andrew Mthunzi; Martha Kafuwa; Takondwa Tembo; Peter Singogo; Goodwin Mkandawire; Monica Msiska; Lemekezani Chilora; Tendai Jambo; William Kanyinji; Chikondi Kanyinji; Madalitso Kamamkhudza; Sylvia Siliya; Edward K Gadi; Buli Echika; Sunganani Monjeza; Derick Macheke; Fatsani Chinawa; Jonathan Sunthika; Precious Phiri; Bright Mphero; Rodney Kananji","CC BY 4.0",2025-04-30,,,,"10.5281/zenodo.15799918","1.0.1","https://github.com/openwashdata/washmalawi","https://openwashdata.github.io/washmalawi/",1,"v1.0.1","main",2025-04-29,2025-07-03,,TRUE,TRUE,,,,TRUE,FALSE,FALSE -"washopenresearch","Dataset about open research data information in Water, Sanitation, and Hygiene","The goal of washopenresearch is to provide an overview of open research data related to Water Sanitation and Hygiene (WASH). The package provides access to four datasets `washdev`, `uncnewsletter`, `ploswater`, and `datapapers`. Each dataset collects information on scientific articles about (1) article metadata (e.g. title, first author, correspondence author), (2) supplementary material information, (3) data availability statement, and (4) semantic information (e.g. keywords).","0.3.0",TRUE,,"Mian Zhong","0009-0009-4546-7214","Mian Zhong; Ludwig Luz; Lars Schöbitz","CC BY 4.0",2026-08-20,"open-data, open-research-data, open-science, openwashdata, sanitation, wash",,,"10.5281/zenodo.11185699","0.3.0","https://github.com/openwashdata/washopenresearch","https://openwashdata.github.io/washopenresearch/",4,"v0.3.0","main",2023-12-21,2026-08-20,"open-data, open-research-data, open-science, openwashdata, sanitation, wash",TRUE,TRUE,,,,TRUE,FALSE,FALSE -"wasteburningblantyre","What the Package Does (One Line, Title Case)","What the package does (one paragraph).","0.0.0.9000",FALSE,,"Lars Schöbitz","0000-0003-2196-5015","Lars Schöbitz; Mabvuto Yesaya; Elizabeth Tilley; Saloni Vijay","CC BY 4.0",2023-09-13,,,,,"0.0.0.9000","https://github.com/openwashdata/wasteburningblantyre","https://openwashdata.github.io/wasteburningblantyre/",9,,"main",2023-09-13,2023-10-26,,TRUE,FALSE,,,,FALSE,FALSE,FALSE -"wastecollectionblantyre","What the Package Does (One Line, Title Case)","What the package does (one paragraph).","0.0.0.9000",FALSE,,"First Last","YOUR-ORCID-ID","First Last","`use_mit_license()`, `use_gpl3_license()` or friends to pick a license",,,,,,,"https://github.com/openwashdata/wastecollectionblantyre","https://openwashdata.github.io/wastecollectionblantyre/",2,,"main",2023-12-06,2023-12-06,,FALSE,FALSE,,,,FALSE,FALSE,FALSE +"washopenresearch","Dataset about open research data information in Water, Sanitation, and Hygiene","The goal of washopenresearch is to provide an overview of open research data related to Water Sanitation and Hygiene (WASH). The package provides access to six datasets: `washdev`, `ws`, `jwh`, `uncnewsletter`, `ploswater`, and `datapapers`. Each dataset collects information on scientific articles about (1) article metadata (e.g. title, first author, correspondence author), (2) supplementary material information, (3) data availability statement, and (4) semantic information (e.g. keywords).","0.4.0",TRUE,,"Mian Zhong","0009-0009-4546-7214","Mian Zhong; Ludwig Luz; Lars Schöbitz; Yash Dubey","CC BY 4.0",2026-08-20,"open-data, open-research-data, open-science, openwashdata, sanitation, wash",,,"10.5281/zenodo.11185699","0.4.0","https://github.com/openwashdata/washopenresearch","https://openwashdata.github.io/washopenresearch/",6,"v0.4.0","main",2023-12-21,2026-09-09,"open-data, open-research-data, open-science, openwashdata, sanitation, wash",TRUE,TRUE,,,,TRUE,FALSE,FALSE "wastedata","Waste Site Survey Data (2017 - 2018)","This dataset contains survey records on cemeteries, burial grounds, and waste disposal sites in Malawi. The information was gathered through field enumerators using the mWater platform as part of a mapping initiative. Each record captures details such as the location of the site, its operational status, management arrangements, and opening or closing history. The dataset also includes data on the type and state of waste present, evidence of pollution, the sources of waste, and the population served by municipal facilities. In addition, it documents the types of operations at municipal, commercial, industrial, and sludge waste sites, as well as practices related to drinking water and waste water treatment.","0.0.0.9000",FALSE,,"Emmanuel Mhango","0000-0003-3197-6244","Emmanuel Mhango","CC BY 4.0",2025-09-01,"waste-data, waste-management",,,,,"https://github.com/openwashdata/wastedata","https://openwashdata.github.io/wastedata/",1,"v1.0.0","master",2025-09-01,2025-10-28,"waste-data, waste-management",TRUE,TRUE,,,,FALSE,FALSE,FALSE -"wasteskipsblantyre","Locations of Public Waste Skips in Blantyre, Malawi","An R data package containing the locations of public waste skips in Blantyre, Malawi.","0.0.2",TRUE,,"Sebastian Camilo Loos","0000-0002-8830-1734","Mabvuto Yesaya; Limbani Msuku; Elizabeth Tilley; Sebastian Camilo Loos","CC BY 4.0",,"data-visualization, geolocation, malawi, open-data, open-datasets, r, solid-waste, waste-management",,,"10.5281/zenodo.6470427","0.0.2","https://github.com/openwashdata/wasteskipsblantyre","https://openwashdata.github.io/wasteskipsblantyre/",1,,"main",2023-07-05,2023-12-06,"data-visualization, geolocation, malawi, open-data, open-datasets, r, solid-waste, waste-management",TRUE,TRUE,,,,TRUE,FALSE,FALSE +"wasteskipsblantyre","Locations of Public Waste Skips in Blantyre, Malawi","An R data package containing the locations of public waste skips in Blantyre, Malawi, updated in 2023, with the number of skips, vehicle access and the fill-up times reported at each location, and the points of interest for their collection (depot, dump site, compost site and gas stations).","0.1.0",TRUE,,"Lars Schöbitz","0000-0003-2196-5015","Mabvuto Yesaya; Limbani Msuku; Lars Schöbitz; Elizabeth Tilley; Sebastian Camilo Loos; Nicolas Seemann-Ricard","CC BY 4.0",,"open data, washdata, solid waste, waste skips, waste collection, Blantyre, Malawi","Blantyre, Malawi","2023-01-01/2023-12-31","10.5281/zenodo.6470364","0.1.0","https://github.com/openwashdata/wasteskipsblantyre","https://openwashdata.github.io/wasteskipsblantyre/",2,,"main",2023-07-05,2026-09-24,"data-visualization, geolocation, malawi, open-data, open-datasets, r, solid-waste, waste-management",TRUE,TRUE,,,,TRUE,TRUE,TRUE "waterconsumersurvey","Household Water Point Satisfaction Survey Data from Malawi","Provides household-level survey data on water access, reliability, and user satisfaction from Zomba and Mangochi Districts in Malawi. Collected in September 2021 using GPS-enabled devices, the dataset includes 423 households with information on water sources, infrastructure conditions, seasonal availability, and demographic indicators relevant to water access and decision-making.","0.0.0.9000",FALSE,,"Emmanuel Mhango","0000-0003-3197-6244","Emmanuel Mhango","CC BY 4.0",2025-07-16,,,,,"0.0.0.9000","https://github.com/openwashdata/waterconsumersurvey","https://openwashdata.github.io/waterconsumersurvey/",1,"v1.0.0","master",2025-06-26,2025-11-04,,TRUE,TRUE,,,,FALSE,FALSE,FALSE -"watercostaccra","Household water costs and coping strategies data from metropolitan Accra","A household survey on water costs and coping strategies as well as a water point survey were conducted in two low-income communities in metropolitan Accra. These are Korle Gonno, a larger, well-planned coastal area with over 35 household water vendors, and Abuja, a small, densely packed, extralegal settlement with 15 water vendor and bathhouse businesses.","0.0.0.9000",TRUE,,"Margaux Götschmann","0009-0002-2567-3343","Elizabeth Vicario; Margaux Götschmann; Betty Avanu Davidson; Ebenezer F. Amankwaa; Mian Zhong","CC BY 4.0",2024-06-21,"accra, ghana, household-surveys, open-data, openwashdata, r, water-cost",,,"10.5281/zenodo.13981225","0.0.0.9000","https://github.com/openwashdata/watercostaccra","https://openwashdata.github.io/watercostaccra/",2,"v0.0.0.9000","main",2024-06-18,2024-10-23,"accra, ghana, household-surveys, open-data, openwashdata, r, water-cost",TRUE,TRUE,,,,TRUE,FALSE,FALSE -"waterpointstatus","Water Point Functionality and Service Delivery Monitoring Dataset - 2023","This dataset contains structured field survey responses collected from water point inspections and interviews with community members or water point committee representatives. Each record represents a single survey event linked to a specific water point, including GPS coordinates, enumerator metadata, timestamps, and detailed observations on infrastructure condition, functionality, water availability, maintenance practices, and governance arrangements.","1.0.0",FALSE,,"Emmanuel Mhango","0000-0003-3197-6244","Emmanuel Mhango","CC BY 4.0",2026-04-10,"baseflow, boreholes, groundwater, wash, waterpoints",,,,,"https://github.com/openwashdata/waterpointstatus","https://openwashdata.github.io/waterpointstatus/",1,"v1.0.0","main",2026-04-10,2026-04-10,"baseflow, boreholes, groundwater, wash, waterpoints",TRUE,TRUE,,,,FALSE,FALSE,FALSE -"waterpumpkwale","Weekly volume of water pumped for handpumps monitored with Smart Handpump technology, Kwale County, Kenya","A dataset contains a summary of the weekly volumetric output of pumps monitored using Smart Handpump sensors for 2014 and 2015 in Kwale County of Kenya.","0.0.1",TRUE,,"Mian Zhong","0009-0009-4546-7214","Patrick Thomson; Rob Hope; Tim Foster; Mian Zhong","CC BY 4.0",2023-10-02,"africa, kenya, kwale, open-data, open-datasets, r, underground-water, upgro, water-pump",,,"10.5281/zenodo.8399887","0.0.1","https://github.com/openwashdata/waterpumpkwale","https://openwashdata.github.io/waterpumpkwale/",3,"v0.0.1","main",2023-08-16,2024-05-02,"africa, kenya, kwale, open-data, open-datasets, r, underground-water, upgro, water-pump",TRUE,TRUE,,,,TRUE,FALSE,FALSE -"whatawaste","What the Package Does (One Line, Title Case)","What the package does (one paragraph).","0.0.0.9000",FALSE,,"First Last",,"First Last","CC BY 4.0",,,,,,,"https://github.com/openwashdata/whatawaste","https://openwashdata.github.io/whatawaste/",1,,"main",2025-03-10,2025-03-11,,TRUE,TRUE,,,,FALSE,FALSE,FALSE -"whdxdata","Water point exchange data","Data from the Water Point Data Exchange (WPDX) database.","0.0.0.9000",FALSE,,"Lars Schöbitz","0000-0003-2196-5015","Lars Schöbitz","CC BY 4.0",2024-04-16,,,,,"0.0.0.9000","https://github.com/openwashdata/whdxdata","https://openwashdata.github.io/whdxdata/",1,,"main",2024-04-16,2024-04-16,,TRUE,FALSE,,,,TRUE,FALSE,FALSE -"worldhdi","Human Development Index Worldwide 1990-2022 (2024)","This package provides details about Human Development Index across the world from 1990 to 2022. 193 countries are included in the dataset. It also includes data aggregated by regions.","0.1.0",TRUE,,"Yash Dubey",,"Yash Dubey","What license is it under?",,,,,"10.5281/zenodo.14006110","0.1.0","https://github.com/openwashdata/worldhdi","https://openwashdata.github.io/worldhdi/",1,"V1.0.1","main",2024-10-28,2025-01-22,,TRUE,TRUE,,,,FALSE,FALSE,FALSE -"wsabrazil","Wastewater management and household infrastructure in Brazil","This dataset about wastewater management and household infrastructure from various Brazilian regions provides insights into wastewater disposal habits, water sources, bathroom facilities, and sanitation infrastructure.","0.0.0.9000",FALSE,,"Margaux Götschmann","0009-0002-2567-3343","Margaux Götschmann; Lais Santos","CC BY 4.0",2024-03-28,"2010, brazil, infrastructure, open-data, r, sanitation, wash, wastewater, water",,,,"0.0.0.9000","https://github.com/openwashdata/wsabrazil","https://openwashdata.github.io/wsabrazil/",1,,"main",2024-03-26,2024-11-27,"2010, brazil, infrastructure, open-data, r, sanitation, wash, wastewater, water",TRUE,TRUE,,,,TRUE,FALSE,FALSE +"watercostaccra","Household Water Costs and Coping Strategies, Accra 2023","A household survey on water costs and coping strategies (116 households) and a water point survey (49 water points, with E. coli and total coliform test results) were conducted in October and November 2023 in two low-income communities in metropolitan Accra, Ghana. These are Korle Gonno, a larger, well-planned coastal area with over 35 household water vendors, and Abuja, a small, densely packed, extralegal settlement with 15 water vendor and bathhouse businesses.","0.0.0.9000",TRUE,,"Lars Schöbitz","0000-0003-2196-5015","Elizabeth Vicario; Margaux Götschmann; Betty Avanu Davidson; Ebenezer F. Amankwaa; Mian Zhong; Lars Schöbitz","CC BY 4.0",2024-06-21,"open data, washdata, water costs, coping strategies, household survey, water points, water vendors, water quality, Accra, Ghana","Korle Gonno and Abuja, Accra, Ghana","2023-10-05/2023-11-23","10.5281/zenodo.13981224","0.0.0.9000","https://github.com/openwashdata/watercostaccra","https://openwashdata.github.io/watercostaccra/",2,"v0.0.0.9000","main",2024-06-18,2026-09-24,"accra, ghana, household-surveys, open-data, openwashdata, r, water-cost",TRUE,TRUE,,,,TRUE,TRUE,TRUE +"waterpointstatus","Water Point Functionality and Service Monitoring, Malawi 2023","This dataset contains structured field survey responses collected from water point inspections and interviews with community members or water point committee representatives. Each record represents a single survey event linked to a specific water point, including GPS coordinates and detailed observations on infrastructure condition, functionality, water availability, maintenance practices, and governance arrangements.","1.0.0",TRUE,,"Emmanuel Mhango","0000-0003-3197-6244","Emmanuel Mhango","CC BY 4.0",2026-04-10,"open data, washdata, water points, functionality, water supply, service delivery, Malawi","Southern Region, Malawi","2023-01-01/2023-12-31","10.5281/zenodo.19498016","1.0.0","https://github.com/openwashdata/waterpointstatus","https://openwashdata.github.io/waterpointstatus/",1,"v1.0.0","main",2026-04-10,2026-09-23,"baseflow, boreholes, groundwater, wash, waterpoints",TRUE,TRUE,,,,TRUE,TRUE,TRUE +"waterpumpkwale","Weekly Handpump Water Volumes, Kwale County, Kenya 2014-2015","This dataset contains a summary of the weekly volumetric output of handpumps monitored using Smart Handpump sensors in 2014 and 2015 in Kwale County, Kenya, together with the locations of the monitored pumps.","0.0.1",TRUE,,"Lars Schöbitz","0000-0003-2196-5015","Patrick Thomson; Rob Hope; Tim Foster; Mian Zhong; Lars Schöbitz","CC BY 4.0",2023-10-02,"open data, washdata, handpumps, water supply, groundwater, smart handpump, kwale, kenya","Kwale County, Kenya","2014-01-01/2015-12-31","10.5281/zenodo.8399886","0.0.1","https://github.com/openwashdata/waterpumpkwale","https://openwashdata.github.io/waterpumpkwale/",3,"v0.0.1","main",2023-08-16,2026-09-24,"africa, kenya, kwale, open-data, open-datasets, r, underground-water, upgro, water-pump",TRUE,TRUE,,,,TRUE,TRUE,TRUE +"worldhdi","Human Development Index Worldwide 1990-2022 (2024)","Provides Human Development Index (HDI) trends from 1990 to 2022 for 195 countries and territories (193 of them ranked) and 15 UNDP aggregates (development groups, regions and the world), from the UNDP Human Development Report 2023/2024 Statistical Annex. It includes HDI ranks, changes in rank and average annual HDI growth.","1.0.2",TRUE,,"Lars Schöbitz","0000-0003-2196-5015","Yash Dubey; Lars Schöbitz","CC BY 4.0",2024-10-29,"open data, washdata, human development index, hdi, undp, development indicators, sdgs","Worldwide","1990-01-01/2022-12-31","10.5281/zenodo.14006109","1.0.2","https://github.com/openwashdata/worldhdi","https://openwashdata.github.io/worldhdi/",1,"V1.0.1","main",2024-10-28,2026-09-24,,TRUE,TRUE,,,,TRUE,TRUE,TRUE +"wsabrazil","Wastewater management and household infrastructure in Brazil","This dataset about wastewater management and household infrastructure from various Brazilian regions provides insights into wastewater disposal habits, water sources, bathroom facilities, and sanitation infrastructure.","0.1.0",FALSE,,"Lars Schöbitz","0000-0003-2196-5015","Margaux Götschmann; Lais Santos; Lars Schöbitz","CC BY 4.0",2026-09-23,"open data, washdata, wastewater, sanitation, water supply, census, Brazil","Brazil","2010-08-01/2010-10-30",,"0.1.0","https://github.com/openwashdata/wsabrazil","https://openwashdata.github.io/wsabrazil/",1,,"main",2024-03-26,2026-09-24,"2010, brazil, infrastructure, open-data, r, sanitation, wash, wastewater, water",TRUE,TRUE,,,,TRUE,TRUE,TRUE diff --git a/inst/extdata/owd_variables.csv b/inst/extdata/owd_variables.csv index b66cd84..a87127c 100644 --- a/inst/extdata/owd_variables.csv +++ b/inst/extdata/owd_variables.csv @@ -28,6 +28,25 @@ "artesianwells","artesianwells","has_operator","character","Indicates if the water point has a designated operator" "artesianwells","artesianwells","mgmt_type","character","Type of management in place for the water source" "artesianwells","artesianwells","mgmt_type_other","logical","Type of management in place for the water source if Other is selected" +"basisghana","basisghana","no","integer","A running id for unique for each region." +"basisghana","basisghana","region","character","First level of subnational government administration within the Republic of Ghana." +"basisghana","basisghana","district","character","Second level administrative subdivision below region." +"basisghana","basisghana","council","character","Third level administrative unit below district level." +"basisghana","basisghana","community","character","Open defecation free (ODF) community. The community is the smallest level of local administration in Ghana (also called unit committees)." +"basisghana","basisghana","partner","character","Implementing partner of the CLTS (Community-Led Total Sanitation) program in the respective community." +"basisghana","basisghana","population","double","Population size of the respective community." +"basisghana","basisghana","households","double","Number of households in the respective community." +"basisghana","basisghana","toilets","double","Number of toilets in the respective community." +"basisghana","basisghana","hwf","double","Number of handwashing facilities in the respective community." +"basisghana","ghanapop","country_en","character","The English name denoting the country where the data was gathered (Ghana)." +"basisghana","ghanapop","country_pcode","character","The ISO2 code representing Ghana (country of data collection)." +"basisghana","ghanapop","region_en","character","The English designation specifying the region within Ghana. (Ghana comprises 16 distinct regions.)" +"basisghana","ghanapop","region_pcode","character","The postal code linked to the specific region." +"basisghana","ghanapop","district_en","character","The English name identifying the district in Ghana. (There are 261 districts in Ghana.)" +"basisghana","ghanapop","district_pcode","character","The postal code specific to the district." +"basisghana","ghanapop","female_pop","double","Total female population within the corresponding District." +"basisghana","ghanapop","male_pop","double","Total male population within the corresponding District." +"basisghana","ghanapop","total_pop","double","Total population within the corresponding District." "biogasoutcomesmalawi","biogasoutcomesmalawi","interview_id","character","The site id where the interview was performed." "biogasoutcomesmalawi","biogasoutcomesmalawi","interview_date","date","The date on which the interview was performed." "biogasoutcomesmalawi","biogasoutcomesmalawi","question_id","integer","The number of the question within each interview. Note: Number of questions differ between interviews." @@ -94,14 +113,67 @@ "boreholefuncmwi","boreholefuncmwi","service_provider","categorical","Is there a service provider or someone responsible for operating and/or maintaining this hand pump borehole or water system? Yes for 1 and No for 0." "boreholefuncmwi","boreholefuncmwi","preventive_maintenance","categorical","Do you conduct preventive maintenance? Yes for 1 and No for 0." "boreholefuncmwi","boreholefuncmwi","functional_status","categorical","Functional status of the borehole. Functional for 1, Not functional for 0 (including 'Partially functional but in need of repair', 'Not functional')" +"boreholelabdata","boreholelabdata","waterpoint_name","character","Name of the water point site" +"boreholelabdata","boreholelabdata","waterpoint_type","character","category of the water point (e.g., borehole, well, spring)" +"boreholelabdata","boreholelabdata","latitude","numeric","Geographic latitude coordinate of the water point" +"boreholelabdata","boreholelabdata","longitude","numeric","Geographic longitude coordinate of the water point" +"boreholelabdata","boreholelabdata","date_sample_collected","character","Date when the water sample was physically collected from the site" +"boreholelabdata","boreholelabdata","date_sample_analyzed","character","Date when the collected sample was analyzed in the laboratory" +"boreholelabdata","boreholelabdata","date_results_received","character","Date when the lab results were received or recorded" +"boreholelabdata","boreholelabdata","lab_sample_no","character","Unique laboratory identification number assigned to the sample" +"boreholelabdata","boreholelabdata","ph_value","numeric","pH value of the water sample" +"boreholelabdata","boreholelabdata","ph_within_mw_standards","character","pH value falls within Malawis water quality standards (Yes/No)" +"boreholelabdata","boreholelabdata","conductivity","numeric","Measures electrical conductivity of water, indicating ion concentration (µS/cm at 25C)" +"boreholelabdata","boreholelabdata","conductivity_within_mw_standards","character","conductivity is within Malawis acceptable standards (Yes/No)" +"boreholelabdata","boreholelabdata","tds_mg_l","numeric","Concentration of total dissolved solids in mg per liter" +"boreholelabdata","boreholelabdata","tds_within_standards","character","total dissolved solids fall within Malawis standards (Yes/No)" +"boreholelabdata","boreholelabdata","carbonate_mg_l","numeric","Concentration of carbonate ions in mg per liter" +"boreholelabdata","boreholelabdata","carbonate_within_standards","character","carbonate levels meet Malawis water standards (Yes/No)" +"boreholelabdata","boreholelabdata","bicarbonate_mg_l","numeric","Concentration of bicarbonate ions in mg per liter" +"boreholelabdata","boreholelabdata","bicarbonate_within_standards","character","bicarbonate levels meet Malawis water standards (Yes/No)" +"boreholelabdata","boreholelabdata","chloride_mg_l","numeric","Concentration of chloride ions in mg per liter" +"boreholelabdata","boreholelabdata","chloride_within_standards","character","chloride levels are within Malawis acceptable limits (Yes/No)" +"boreholelabdata","boreholelabdata","sulphate_mg_l","numeric","Concentration of sulphate ions in mg per liter" +"boreholelabdata","boreholelabdata","sulphate_within_standards","character","sulphate levels are within Malawis standards (Yes/No)" +"boreholelabdata","boreholelabdata","nitrate_mg_l","numeric","Concentration of nitrate ions in mg per liter" +"boreholelabdata","boreholelabdata","nitrate_within_standards","character","nitrate levels comply with Malawis standards (Yes/No)" +"boreholelabdata","boreholelabdata","fluoride_mg_l","numeric","Concentration of fluoride ions in mg per liter" +"boreholelabdata","boreholelabdata","fluoride_within_standards","logical","fluoride levels meet Malawis water quality standards (Yes/No)" +"boreholelabdata","boreholelabdata","sodium_mg_l","numeric","Concentration of sodium ions in mg per liter" +"boreholelabdata","boreholelabdata","sodium_within_standards","character","sodium concentration is within Malawis standards (Yes/No)" +"boreholelabdata","boreholelabdata","potassium_mg_l","numeric","Concentration of potassium ions in mg per liter" +"boreholelabdata","boreholelabdata","potassium_within_standards","character","potassium levels comply with Malawis water standards (Yes/No)" +"boreholelabdata","boreholelabdata","calcium_mg_l","numeric","Concentration of calcium ions in mg per liter" +"boreholelabdata","boreholelabdata","calcium_within_standards","character","calcium levels fall within Malawis acceptable standards (Yes/No)" +"boreholelabdata","boreholelabdata","magnesium_mg_l","numeric","Concentration of magnesium ions in mg per liter" +"boreholelabdata","boreholelabdata","magnesium_within_standards","character","magnesium levels comply with Malawis standards (Yes/No)" +"boreholelabdata","boreholelabdata","iron_mg_l","numeric","Concentration of iron in mg per liter" +"boreholelabdata","boreholelabdata","iron_within_standards","character","iron concentration is within Malawis water quality limits (Yes/No)" +"boreholelabdata","boreholelabdata","manganese_mg_l","numeric","Concentration of manganese in mg per liter" +"boreholelabdata","boreholelabdata","manganese_within_standards","character","manganese levels meet Malawis water standards (Yes/No)" +"boreholelabdata","boreholelabdata","hardness_mg_l","numeric","Total hardness of water measured as mg/l of calcium carbonate" +"boreholelabdata","boreholelabdata","hardness_within_standards","character","total hardness is within Malawis acceptable limits (Yes/No)" +"boreholelabdata","boreholelabdata","alkalinity_mg_l","numeric","Total alkalinity of water measured as mg/l of calcium carbonate" +"boreholelabdata","boreholelabdata","alkalinity_within_standards","character","alkalinity levels are within Malawis standards (Yes/No)" +"boreholelabdata","boreholelabdata","arsenic","numeric","Concentration of arsenic in water" +"boreholelabdata","boreholelabdata","arsenic_within_standards","character","arsenic levels comply with Malawis water quality standards (Yes/No)" +"boreholelabdata","boreholelabdata","turbidity_ntu","numeric","Measure of water turbidity in Nephelometric Turbidity Units (NTU)" +"boreholelabdata","boreholelabdata","turbidity_within_standards","character","turbidity is within Malawis acceptable water quality limits (Yes/No)" +"boreholelabdata","boreholelabdata","suspended_solids","numeric","Concentration of suspended solids in water (mg/l)" +"boreholelabdata","boreholelabdata","suspended_within_standards","logical","suspended solids levels meet Malawis standards (Yes/No)" +"boreholelabdata","boreholelabdata","faecal_coli_count","numeric","Count of fecal coliform bacteria per 100 ml of water" +"boreholelabdata","boreholelabdata","faecal_coli_within_standards","character","fecal coliform counts meet Malawis water quality standards (Yes/No)" +"boreholelabdata","boreholelabdata","faecal_strep_count","numeric","Count of fecal streptococci bacteria per 100 ml of water" +"boreholelabdata","boreholelabdata","faecal_strep_within_standards","character","fecal streptococci counts meet Malawis water standards (Yes/No)" +"boreholelabdata","boreholelabdata","comments","character","Additional remarks or observations related to the sample or site" "breathablepitlat","breathablepitlat","site","integer","There are two sites for the field test: site 1 and site 2. A twin-pit pour-flush pit latrine was constructed at each site." -"breathablepitlat","breathablepitlat","depth","double","The soil samples were collected at two different depths (1 m and 0.5 m) from ground level." +"breathablepitlat","breathablepitlat","depth","double","The soil samples were collected at two different depths (1 m and 1.5 m) from ground level." "breathablepitlat","breathablepitlat","lateral","double","The soil samples were collected from 0.5 m , 1 m, 5 m and 10 m lateral distance away from the pit." "breathablepitlat","breathablepitlat","time","double","This describes the time (in days) of sample collection. The water and soil samples were collected over a period of 322 days." "breathablepitlat","breathablepitlat","test","integer","The 6 parameters tested from the samples collected in this field test. They include pH, electrical conductivity, total coliform, nitrate, ammonia, and phosphorus." "breathablepitlat","breathablepitlat","location","integer","The location of the soil samples marked P1 for unlined and P2 for lined pit. A, B, C, D, E, F are locations around the pits while M is the middle point between the lined and unlined pit." "breathablepitlat","breathablepitlat","values","double","The values measured for said parameter" -"breathablepitlat","breathablepitlat","num_test","logical","The values measured for said parameter" +"breathablepitlat","breathablepitlat","num_test","logical","Whether the measured value is numeric; TRUE for every row." "cbssuitabilityhaiti","mwater","latitude","double","Lattitude coordinate" "cbssuitabilityhaiti","mwater","longitude","double","Longitude coordinate" "cbssuitabilityhaiti","mwater","administra","character","Communal section- smallest administrative unit in Haiti" @@ -120,16 +192,461 @@ "cbssuitabilityhaiti","okap","zoning","character","group"" if collective or grouped sanitation is possible in short term." "cbssuitabilityhaiti","okap","latrine","character","Suggested pit latrine and septic allowance (allowed, not allowed)" "cbssuitabilityhaiti","okap","density_ra","double","Catgoriccal population density according to the description of the variable ""density"" (values from 1 to 5)" -"cbssuitabilityhaiti","okap","economy_nu","double","Categotical socioeconomic status according to the description of the variable ""economy"" (1=low, 2 = medium)" +"cbssuitabilityhaiti","okap","economy_nu","double","Categotical socioeconomic status according to the description of the variable ""economy"" (1 = medium, 2 = low)" "cbssuitabilityhaiti","okap","geometry","list","Geospatial data of the neighborhood stored as a polygon" -"choleramalawi","choleramalawi","epi_week","character","Week of the epidemic" -"choleramalawi","choleramalawi","week_start","character","Week of the year" -"choleramalawi","choleramalawi","week","double","Date for the week" -"choleramalawi","choleramalawi","cases","character","No. of recorded cases" -"choleramalawi","choleramalawi","deaths","character","No. of recorded deaths" -"choleramalawi","choleramalawi","c_cases","character","Cumulative cases since the start of the epidemic" -"choleramalawi","choleramalawi","c_deaths","character","Cumulative deaths since the start of the epidemic" +"chckapmalawi","chckapmalawi","village","character","Name of the village" +"chckapmalawi","chckapmalawi","gender","character","Gender of the respondent" +"chckapmalawi","chckapmalawi","head_household","character","Are you the head of the household?" +"chckapmalawi","chckapmalawi","age","integer","Respondent's age" +"chckapmalawi","chckapmalawi","education","character","Highest level of education attained" +"chckapmalawi","chckapmalawi","household_size","integer","Number of individuals living in this house" +"chckapmalawi","chckapmalawi","adults_in_household","integer","Number of adults (18+ years) in the household" +"chckapmalawi","chckapmalawi","children_in_household","integer","Number of children (< 18 years) in the household" +"chckapmalawi","chckapmalawi","under_five_child","character","Presence of children under five years old in the household" +"chckapmalawi","chckapmalawi","chc_membership","character","Membership in a Community Health Club (CHC)" +"chckapmalawi","chckapmalawi","chc_name","character","Name of the Community Health Club (CHC)" +"chckapmalawi","chckapmalawi","chc_position","character","Position held in the CHC" +"chckapmalawi","chckapmalawi","number_adult_female_chc","integer","Number of adult female household members in a CHC" +"chckapmalawi","chckapmalawi","time_female_chc","integer","Longest duration a female household member has been in a CHC (in years)" +"chckapmalawi","chckapmalawi","number_adult_male_chc","integer","Number of adult male household members in a CHC" +"chckapmalawi","chckapmalawi","time_male_chc","integer","Longest duration a male household member has been in a CHC (in years)" +"chckapmalawi","chckapmalawi","not_member_chc","character","Reasons for not being a member of the CHC" +"chckapmalawi","chckapmalawi","awareness_chc","character","Awareness of the presence of a Community Health Club in the village" +"chckapmalawi","chckapmalawi","chc_knowledge_source","character","Source of information about the CHC" +"chckapmalawi","chckapmalawi","chc_meeting_activities","character","Understanding of activities conducted during CHC meetings" +"chckapmalawi","chckapmalawi","know_chc_households","character","Personal familiarity with households involved in the CHC" +"chckapmalawi","chckapmalawi","chc_notice_changes","character","Observation of any changes or new developments around CHC households in the past year" +"chckapmalawi","chckapmalawi","chc_changes","character","What changes or new things have you observed around the premises of CHC members that were not there in the past year?" +"chckapmalawi","chckapmalawi","adopted_chc_changes","character","Have you implemented or adopted any of the new changes, things, or behaviors you observed at CHC households?" +"chckapmalawi","chckapmalawi","chc_shared_info","character","Have any CHC households shared any WASH or Nutrition information with you in the past year?" +"chckapmalawi","chckapmalawi","chc_info","character","What specific information did they share with you?" +"chckapmalawi","chckapmalawi","reason_leave_chc","character","What was the reason for leaving the CHC?" +"chckapmalawi","chckapmalawi","any_wash_nutrition_learning","character","In the past year, have you learned anything new regarding WASH and Nutrition that you did not know or practice before?" +"chckapmalawi","chckapmalawi","wash_nutrition_learning","character","What specific knowledge have you gained?" +"chckapmalawi","chckapmalawi","learn_impact","character","How has this new knowledge positively impacted your life?" +"chckapmalawi","chckapmalawi","share_chc_knowledge","character","Have you shared any learnings from the CHC with your friends and/or neighbors?" +"chckapmalawi","chckapmalawi","water_collect_different_places","character","Do you collect water from various locations during both the rainy and dry seasons?" +"chckapmalawi","chckapmalawi","main_drinking_water_src_dry","character","What is your PRIMARY drinking water source during the DRY season?" +"chckapmalawi","chckapmalawi","distance_water_dry","integer","How far do you have to walk to access water during the dry season? (in meters)" +"chckapmalawi","chckapmalawi","time_water_collection_dry","integer","What is the total time (including waiting in line) for a round trip to collect water during the dry season? (in minutes)" +"chckapmalawi","chckapmalawi","water_quality_dry","character","How clean is the water you consume during the dry season?" +"chckapmalawi","chckapmalawi","main_other_water_src_dry","character","What is the main water source used by members of your household for purposes other than drinking during the dry season (e.g., cooking, handwashing)?" +"chckapmalawi","chckapmalawi","main_drinking_water_src_rainy","character","What is your PRIMARY drinking water source during the RAINY season?" +"chckapmalawi","chckapmalawi","distance_water_rainy","integer","How far do you have to walk to access water during the rainy season? (in meters)" +"chckapmalawi","chckapmalawi","time_water_collection_rainy","integer","What is the total time (including waiting in line) for a round trip to collect water during the rainy season? (in minutes)" +"chckapmalawi","chckapmalawi","water_quality_rainy","character","How clean is the water you consume during the rainy season?" +"chckapmalawi","chckapmalawi","main_other_water_src_rainy","character","What is the main water source used by members of your household for purposes other than drinking during the rainy season (e.g., cooking, handwashing)?" +"chckapmalawi","chckapmalawi","water_src_fresh","character","Does your water source provide fresh water?" +"chckapmalawi","chckapmalawi","water_src_committee","character","Is there a water point committee associated with your water source?" +"chckapmalawi","chckapmalawi","satisfaction_committee","character","Are you satisfied with how the committee manages the water point?" +"chckapmalawi","chckapmalawi","reason_not_satisfied_committee","character","What are the reasons behind your dissatisfaction with the water point committee?" +"chckapmalawi","chckapmalawi","committee_selection_process","character","How was the water point committee selected?" +"chckapmalawi","chckapmalawi","drinking_water_situation_change_3yrs","character","Is your drinking water situation better, the same, or worse than it was three years ago (2019)?" +"chckapmalawi","chckapmalawi","drinking_water_change_reason","character","What do you believe is the reason behind the changes in your drinking water situation?" +"chckapmalawi","chckapmalawi","clean_surroundings_water_source","character","Is the area surrounding the water source clean and protected from animal interference?" +"chckapmalawi","chckapmalawi","belief_water_pay","character","Do you believe you should pay for your water?" +"chckapmalawi","chckapmalawi","reason_not_pay_water","character","What are the reasons behind your belief that you should not pay for water?" +"chckapmalawi","chckapmalawi","reason_pay_water","character","What are the reasons behind your belief that you should pay for water?" +"chckapmalawi","chckapmalawi","invest_water_system","integer","Would you be willing to invest in an improved water supply system?" +"chckapmalawi","chckapmalawi","water_pay","character","Do you currently pay for the water you use?" +"chckapmalawi","chckapmalawi","frequency_water_pay","character","How often do you make payments for your water?" +"chckapmalawi","chckapmalawi","amount_water_pay","integer","What is the average amount you pay for water? (in magnitude)" +"chckapmalawi","chckapmalawi","awareness_safe_water_measures","character","Which safe drinking water measures are you aware of?" +"chckapmalawi","chckapmalawi","practiced_safe_water_measures","character","Which of these safe drinking water measures do you regularly practice?" +"chckapmalawi","chckapmalawi","water_treatment_timing","character","When do you typically treat drinking water in your household?" +"chckapmalawi","chckapmalawi","water_treatment_method","character","What methods do you use to treat water in your household?" +"chckapmalawi","chckapmalawi","reasons_not_treating_water","character","What are the reasons why you do not treat the drinking water?" +"chckapmalawi","chckapmalawi","water_container_transport","character","What type of container is typically used to transport water?" +"chckapmalawi","chckapmalawi","drinking_water_separate_container","character","Is the drinking water kept in a separate container?" +"chckapmalawi","chckapmalawi","drinking_water_container_above_floor","character","Is the drinking water container kept above floor level to prevent contamination?" +"chckapmalawi","chckapmalawi","narrow_opening_water_containers","character","Do the water containers used for collection and storage have narrow openings?" +"chckapmalawi","chckapmalawi","water_fetching_responsibility","character","Who is responsible for fetching water in your household?" +"chckapmalawi","chckapmalawi","diarrhea_prevention_methods","character","What methods do you know to prevent diarrhea?" +"chckapmalawi","chckapmalawi","latrine_access","character","Does your household have access to a latrine?" +"chckapmalawi","chckapmalawi","improved_latrine","character","Is the latrine improved?" +"chckapmalawi","chckapmalawi","latrine_type","character","What type of latrine is used in your household?" +"chckapmalawi","chckapmalawi","latrine_photos","character","Please take photos of both the inside and outside of the latrine." +"chckapmalawi","chckapmalawi","shared_latrine","character","Do you share this latrine facility with other households?" +"chckapmalawi","chckapmalawi","households_shared_with","integer","How many households do you share the latrine with?" +"chckapmalawi","chckapmalawi","sanitation_change_3years","character","Has your sanitation situation changed in the past three years (since 2019)? If yes, in what way?" +"chckapmalawi","chckapmalawi","sanitation_change_reason","character","What do you think are the reasons behind the changes in your sanitation situation?" +"chckapmalawi","chckapmalawi","pit_as_fertile_basin","character","Are you aware that a full pit could be used as a fertile basin to plant fruit trees for healthy fruits or for selling?" +"chckapmalawi","chckapmalawi","willingness_invest_improved_latrine","character","Would you be willing to invest in an improved latrine?" +"chckapmalawi","chckapmalawi","amount_pay_new_latrine","integer","How much would you be willing to pay or invest in an improved latrine? (in magnitude)" +"chckapmalawi","chckapmalawi","invest_latrine_obstacles","character","What obstacles or challenges stop you from investing in improved latrines?" +"chckapmalawi","chckapmalawi","latrine_satisfaction_level","character","How satisfied are you with your current latrine?" +"chckapmalawi","chckapmalawi","reasons_satisfaction_latrine","character","What are the reasons behind your satisfaction with the latrine?" +"chckapmalawi","chckapmalawi","reasons_unsatisfied_latrine","character","What are the reasons behind your dissatisfaction with the latrine?" +"chckapmalawi","chckapmalawi","latrine_usage","character","Is the latrine regularly used?" +"chckapmalawi","chckapmalawi","sanitation_cleanliness","character","Is the sanitation facility regularly cleaned?" +"chckapmalawi","chckapmalawi","latrine_pit_cover","character","Is there a cover over the pit of the latrine?" +"chckapmalawi","chckapmalawi","latrine_lighting","character","Does the latrine have adequate lighting?" +"chckapmalawi","chckapmalawi","latrine_space","character","Is there sufficient space inside the latrine?" +"chckapmalawi","chckapmalawi","latrine_privacy","character","Does the latrine provide privacy?" +"chckapmalawi","chckapmalawi","latrine_roof_type","character","What type of roof does the latrine have?" +"chckapmalawi","chckapmalawi","latrine_accessibility","character","Is the latrine accessible and usable by people with disabilities and the elderly?" +"chckapmalawi","chckapmalawi","child_stool_disposal","character","How are the stools of young children disposed of when they don't use the toilet facility?" +"chckapmalawi","chckapmalawi","hand_washing_effectiveness","logical","Washing hands with ash is considered the most effective way of killing germs? (True/False)" +"chckapmalawi","chckapmalawi","latrine_hand_washing_facility","character","Is there a functioning hand-washing facility at the latrine?" +"chckapmalawi","chckapmalawi","water_at_handwashing_available","character","Is there water available at the hand-washing facility when visited?" +"chckapmalawi","chckapmalawi","soap_at_handwashing_available","character","Is soap available at the hand-washing facility when visited?" +"chckapmalawi","chckapmalawi","type_soap","character","What type of soap is available at the hand-washing facility?" +"chckapmalawi","chckapmalawi","hand_washing_material","character","What is used for handwashing?" +"chckapmalawi","chckapmalawi","handwashing_facility_usage","character","Is the handwashing facility being used?" +"chckapmalawi","chckapmalawi","photo_handwashing_facility","character","Please take a photo of the handwashing facility." +"chckapmalawi","chckapmalawi","handwashing_important","character","In your opinion, is handwashing important in your household?" +"chckapmalawi","chckapmalawi","why_handwashing_important","character","Why do you consider handwashing important?" +"chckapmalawi","chckapmalawi","household_fixed_handwashing_facility","character","Is there a fixed handwashing facility for general household use (excluding the one at the latrine)?" +"chckapmalawi","chckapmalawi","household_type_of_handwashing_facility","character","What kind of handwashing facility does the household have?" +"chckapmalawi","chckapmalawi","household_handwashing_agent_fixed_facility","character","Observe: handwashing agent at the fixed facility for general household use" +"chckapmalawi","chckapmalawi","handwashing_timing","character","When do you usually wash your hands?" +"chckapmalawi","chckapmalawi","handwashing_method","character","Please demonstrate how you wash your hands." +"chckapmalawi","chckapmalawi","food_groups_known","integer","How many food groups are you aware of?" +"chckapmalawi","chckapmalawi","types_of_food_groups_known","character","Which food groups are you aware of?" +"chckapmalawi","chckapmalawi","importance_of_eating_from_6groups","character","Do you know the importance of eating food from all 6 food groups daily for staying healthy?" +"chckapmalawi","chckapmalawi","fats_and_oils","logical","Do fats and oils help maintain a healthy body weight? (True/False)" +"chckapmalawi","chckapmalawi","vegetable_energy","logical","Are vegetables a main source of energy for the body? (True/False)" +"chckapmalawi","chckapmalawi","meat_growth","character","Is meat considered good for the growth and maintenance of body tissues?" +"chckapmalawi","chckapmalawi","importance_of_balanced_diet","character","Why is having a balanced diet important?" +"chckapmalawi","chckapmalawi","invest_balanced_diet_willingness","character","Would you be willing to invest in having a balanced diet?" +"chckapmalawi","chckapmalawi","obstacles_investing_balanced_diet","character","What obstacles stop you from investing in a balanced diet?" +"chckapmalawi","chckapmalawi","food_from_grains","character","Did the household eat any foods from grains in the past 24 hours? (e.g., porridge, bread, rice)" +"chckapmalawi","chckapmalawi","white_roots_tubers_plantains","character","Did the household eat any white roots, tubers, or plantains in the past 24 hours? (e.g., white potatoes, cassava, white yams)" +"chckapmalawi","chckapmalawi","pulses_consumption","character","Did the household eat any pulses in the past 24 hours? (e.g., beans, peas, lentils)" +"chckapmalawi","chckapmalawi","nuts_seeds_consumption","character","Did the household eat any nuts and seeds in the past 24 hours? (e.g., peanut, sesame seeds, sunflower seeds)" +"chckapmalawi","chckapmalawi","milk_products_consumption","character","Did the household eat any milk and milk products in the past 24 hours? (e.g., milk, yogurt)" +"chckapmalawi","chckapmalawi","organ_meat_blood_consumption","character","Did the household eat any meat made from animal organs or blood in the past 24 hours? (e.g., kidney, heart)" +"chckapmalawi","chckapmalawi","other_meat_poultry_consumption","character","Did the household eat any other types of meat or poultry in the past 24 hours? (e.g., beef, pork, lamb, goat, rabbit, chicken, duck)" +"chckapmalawi","chckapmalawi","fish_seafood_consumption","character","Did the household eat any fish and seafood in the past 24 hours? (fresh or dried)" +"chckapmalawi","chckapmalawi","eggs_consumption","character","Did the household eat any eggs in the past 24 hours? (e.g., chicken eggs, duck eggs)" +"chckapmalawi","chckapmalawi","dark_green_leafy_vegetables","character","Did the household eat any dark green leafy vegetables in the past 24 hours? (e.g., lettuce, broccoli, spinach)" +"chckapmalawi","chckapmalawi","vitamin_a_rich_vegetables","character","Did the household eat any vegetables or roots that are rich in vitamin A in the past 24 hours? (e.g., pumpkin, carrots, sweet potatoes, red pepper)" +"chckapmalawi","chckapmalawi","other_vegetables_consumption","character","Did the household eat any other vegetables in the past 24 hours? (e.g., corn, cucumbers, green pepper, green beans, mushrooms, tomato, onion, eggplant)" +"chckapmalawi","chckapmalawi","vitamin_a_rich_fruits","character","Did the household eat any vitamin A-rich fruits in the past 24 hours? (e.g., ripe mango, ripe papaya, peach)" +"chckapmalawi","chckapmalawi","other_fruits_consumption","character","Did the household eat any other fruits in the past 24 hours? (e.g., apples, avocados, bananas, grapes, lemons, oranges, watermelon, pineapple)" +"chckapmalawi","chckapmalawi","oil_fats_for_cooking","character","Did the household use oil or fats for cooking in the past 24 hours? (e.g., butter, kukoma, kazinga, mulawe)" +"chckapmalawi","chckapmalawi","food_groups_incorporated_past24h","character","How many food groups did the household incorporate into their meals in the past 24 hours?" +"chckapmalawi","chckapmalawi","reasons_not_prepare_balanced_meal","character","Why did the household not manage to prepare a balanced meal?" +"chckapmalawi","chckapmalawi","household_vegetable_garden","character","Does the household have a vegetable garden?" +"chckapmalawi","chckapmalawi","vegetables_grown_in_garden","character","What vegetables are grown in the household's garden?" +"chckapmalawi","chckapmalawi","kitchen_presence","character","Observation: Is there a kitchen at the household?" +"chckapmalawi","chckapmalawi","kitchen_hygiene","character","Observe: Kitchen hygiene" +"chckapmalawi","chckapmalawi","energy_saving_stove","character","Observe: Does the household have an energy-saving stove?" +"chckapmalawi","chckapmalawi","food_handling","character","Observe: Food handling (food that could be contaminated by flies)" +"chckapmalawi","chckapmalawi","pot_utensils_rack","character","Observe: Pot rack/plate & utensils rack" +"chckapmalawi","chckapmalawi","environmental_hygiene","character","Observe: Environmental hygiene" +"chckapmalawi","chckapmalawi","stagnant_water","character","Observe: Stagnant water around the homestead" +"chckapmalawi","chckapmalawi","rubbish_pit_presence","character","Observe: Presence of a rubbish pit" +"chckapmalawi","chckapmalawi","rubbish_pit_siting","character","Observe: Rubbish pit siting" +"chckapmalawi","chckapmalawi","litter_free_environment","character","Observe: Litter-free environment (including animal droppings)" +"choleramalawi","choleramalawi","epi_week","character","Epidemiological week of the calendar year (1 to 52)" +"choleramalawi","choleramalawi","week_start","character","Week number counted from the first week in the data (week 1 starts on 2022-02-28)" +"choleramalawi","choleramalawi","week","Date","Start date (Monday) of the week" +"choleramalawi","choleramalawi","cases","numeric","No. of recorded cases" +"choleramalawi","choleramalawi","deaths","numeric","No. of recorded deaths" +"choleramalawi","choleramalawi","c_cases","numeric","Cumulative cases since the start of the epidemic" +"choleramalawi","choleramalawi","c_deaths","numeric","Cumulative deaths since the start of the epidemic" "choleramalawi","choleramalawi","district","character","District of Malawi for which the record is collected" +"cleanteamghana","cleanteamghana","uuid","character","Unique identifier for each record" +"cleanteamghana","cleanteamghana","submission_time","date","Timestamp of the survey submission" +"cleanteamghana","cleanteamghana","area","character","Area of the observation" +"cleanteamghana","cleanteamghana","district","character","District of the observation" +"cleanteamghana","cleanteamghana","community","character","Community of the observation" +"cleanteamghana","cleanteamghana","cleanliness_of_neighborhood","character","Perceived cleanliness of the neighborhood" +"cleanteamghana","cleanteamghana","safety_of_neighborhood","character","Perceived safety of the neighborhood" +"cleanteamghana","cleanteamghana","development_priority_of_neighborhood","character","Development priority of the neighborhood" +"cleanteamghana","cleanteamghana","age_of_respondent","integer","Age of the respondent" +"cleanteamghana","cleanteamghana","sex_respondent","character","Gender of the respondent" +"cleanteamghana","cleanteamghana","marital_status","character","Marital status of the respondent" +"cleanteamghana","cleanteamghana","highest_level_of_education","character","Highest level of education completed by the respondent" +"cleanteamghana","cleanteamghana","employment_type","character","Type of employment of the respondent" +"cleanteamghana","cleanteamghana","house_ownership","character","Ownership status of the house" +"cleanteamghana","cleanteamghana","landlord_residence","character","Whether the landlord resides in the same location" +"cleanteamghana","cleanteamghana","female_less_5","integer","Number of females under 5 years old living in the house" +"cleanteamghana","cleanteamghana","female_from_5_to_18","character","Number of females between 5 and 18 years old living in the house" +"cleanteamghana","cleanteamghana","female_more_18","integer","Number of females over 18 years old living in the house" +"cleanteamghana","cleanteamghana","male_less_5","character","Number of males under 5 years old living in the house" +"cleanteamghana","cleanteamghana","male_from_5_to_18","character","Number of males between 5 and 18 years old living in the house" +"cleanteamghana","cleanteamghana","male_more_18","integer","Number of males over 18 years old living in the house" +"cleanteamghana","cleanteamghana","number_households_sharing","character","Number of households sharing a facility" +"cleanteamghana","cleanteamghana","number_of_households","character","Total number of households in the house/area?" +"cleanteamghana","cleanteamghana","number_of_rooms","character","Total number of rooms in the house" +"cleanteamghana","cleanteamghana","daily_toilet_usage","character","Frequency of toilet usage per day" +"cleanteamghana","cleanteamghana","electricity_situation","character","Electricity situation in the house" +"cleanteamghana","cleanteamghana","fuel_used_for_cooking","character","Type of fuel used for cooking" +"cleanteamghana","cleanteamghana","location_of_water_source","character","Location of water source" +"cleanteamghana","cleanteamghana","able_to_observe_toilet","character","Ability to observe a toilet in the area by the interviewer" +"cleanteamghana","cleanteamghana","cant_afford_toilet","character","Inability to afford a toilet by inhabitants of the house" +"cleanteamghana","cleanteamghana","functioning_toilet","character","Presence of a functioning toilet" +"cleanteamghana","cleanteamghana","functioning_toilet_is_ctg","character","The functioning toilet is from Clean Team Ghana?" +"cleanteamghana","cleanteamghana","handwashing_facility","character","Availability of a handwashing facility" +"cleanteamghana","cleanteamghana","floor_material","character","Material used for flooring" +"cleanteamghana","cleanteamghana","roof_material","character","Material used for roofing" +"cleanteamghana","cleanteamghana","wall_material","character","Material used for walls" +"cleanteamghana","cleanteamghana","pan_material","character","Material used for toilet pans" +"cleanteamghana","cleanteamghana","pit_lining","character","Presence of pit lining" +"cleanteamghana","cleanteamghana","mechanical_emptying","character","Mechanical emptying of the pit" +"cleanteamghana","cleanteamghana","primary_solidwaste_collection","character","Primary method of solid waste collection" +"cleanteamghana","cleanteamghana","presence_of_drain","character","Presence of a drain in the toilet" +"cleanteamghana","cleanteamghana","presence_of_paved_road","character","Presence of paved roads near the toilet" +"cleanteamghana","cleanteamghana","presence_of_street_lights","character","Presence of street lights near the toilet" +"cleanteamghana","cleanteamghana","cleaned_toilet","character","Cleanliness of the toilel" +"cleanteamghana","cleanteamghana","cleanliness_of_pan","character","Cleanliness of the toilet pan" +"cleanteamghana","cleanteamghana","cleanliness_of_slab","character","Cleanliness of the toilet slab" +"cleanteamghana","cleanteamghana","concerns_about_using_ctg_toilet","character","Whether individuals have concerns about using the Clean Team Ghana (CTG) toilet" +"cleanteamghana","cleanteamghana","concerns_about_using_ctg_toilet_specify","character","Respondents can specify their concerns about using the CTG toilet if they have any" +"cleanteamghana","cleanteamghana","container_replaced_freq_ctg","integer","Frequency of container replacement for the CTG toilet" +"cleanteamghana","cleanteamghana","cost_per_use","integer","Cost incurred per use of the CTG toilet" +"cleanteamghana","cleanteamghana","ctg_cleanliness","character","Perceived cleanliness of the CTG toilet" +"cleanteamghana","cleanteamghana","ctg_information_source","character","Source from which individuals obtained information about the CTG toilet" +"cleanteamghana","cleanteamghana","ctg_issues","character","Any issues or problems related to the CTG toilet" +"cleanteamghana","cleanteamghana","ctg_recommendation","character","Whether individuals would recommend the CTG toilet to others" +"cleanteamghana","cleanteamghana","door_lockable_inside","character","Whether the CTG toilet has a lockable door from the inside" +"cleanteamghana","cleanteamghana","door_lockable_outside","character","Whether the CTG toilet has a lockable door from the outside" +"cleanteamghana","cleanteamghana","ever_unable_to_use_ctg","character","Whether individuals have ever been unable to use the CTG toilet" +"cleanteamghana","cleanteamghana","ever_unable_to_use_ctg_specify","character","Respondents can specify reasons if they have ever been unable to use the CTG toilet" +"cleanteamghana","cleanteamghana","fear_of_being_removed","character","Whether individuals fear the CTG toilet of being removed" +"cleanteamghana","cleanteamghana","how_likely_to_recommend_clean_team","character","Likelihood of individuals recommending Clean Team Ghana's services to others" +"cleanteamghana","cleanteamghana","is_ctg_available","character","Availability of the CTG toilet in this particular area" +"cleanteamghana","cleanteamghana","knowledge_of_toilet_sharing","character","Individuals' awareness or understanding of sharing toilets among multiple users" +"cleanteamghana","cleanteamghana","management_of_children_feces","character","Need for managing children's feces" +"cleanteamghana","cleanteamghana","odour_control_agents_baseline","character","Agents or methods used for controlling odors at the baseline or initial stage" +"cleanteamghana","cleanteamghana","odour_control_agents_endline","character","Agents or methods used for controlling odors at the endpoint or final stage" +"cleanteamghana","cleanteamghana","odour_control_baseline","character","Effectiveness or measures taken to control odors at the baseline or initial stage" +"cleanteamghana","cleanteamghana","odour_control_endline","character","Effectiveness or measures taken to control odors at the endpoint or final stage" +"cleanteamghana","cleanteamghana","people_using_ctg","integer","Number of people using Clean Team Ghana's services or toilets in this particular area" +"cleanteamghana","cleanteamghana","rent_paid","integer","Amount of rent paid by CTG?" +"cleanteamghana","cleanteamghana","sanqol_assault","integer","Perceptions or experiences related to assault or safety concerns at the sanitation facility" +"cleanteamghana","cleanteamghana","sanqol_cleanliness","integer","Perceptions or evaluations of the cleanliness of the sanitation facility." +"cleanteamghana","cleanteamghana","sanqol_convenience","integer","Level of convenience provided by the sanitation facility" +"cleanteamghana","cleanteamghana","sanqol_cost","integer","Perceptions or satisfaction related to the cost of using the sanitation facility" +"cleanteamghana","cleanteamghana","sanqol_disgust","integer","Feelings of disgust or repulsion associated with the sanitation facility" +"cleanteamghana","cleanteamghana","sanqol_health","integer","Perceptions or concerns about health-related aspects associated with the sanitation facility" +"cleanteamghana","cleanteamghana","sanqol_privacy","integer","Perceptions or satisfaction levels regarding privacy at the sanitation facility" +"cleanteamghana","cleanteamghana","sanqol_proud","integer","Feelings of pride or satisfaction associated with using the sanitation facility" +"cleanteamghana","cleanteamghana","sanqol_safety","character","Perceptions or feelings of safety related to the sanitation facility" +"cleanteamghana","cleanteamghana","sanqol_shame","character","Feelings of shame associated with using the sanitation facility" +"cleanteamghana","cleanteamghana","sanqol_smell","character","Perceptions or experiences related to unpleasant smells at the sanitation facility" +"cleanteamghana","cleanteamghana","satisfaction_avoiding_unpleasant_odour","integer","Satisfaction levels regarding avoiding unpleasant odors while using the facility" +"cleanteamghana","cleanteamghana","satisfaction_avoiding_unpleasant_odour_not_in_use","integer","Satisfaction levels regarding avoiding unpleasant odors when the facility is not in use" +"cleanteamghana","cleanteamghana","satisfaction_combine_duities_and_using_toilet","integer","Satisfaction levels while combining duties and using the toilet" +"cleanteamghana","cleanteamghana","satisfaction_manage_menstrual_hygiene","integer","Satisfaction levels regarding the management of menstrual hygiene at the facility" +"cleanteamghana","cleanteamghana","satisfaction_towards_cost_of_latrine_usage","integer","Satisfaction levels related to the cost of using the latrine or sanitation facility" +"cleanteamghana","cleanteamghana","satisfaction_towards_ease_to_access","integer","Satisfaction levels related to the ease of access to the sanitation facility" +"cleanteamghana","cleanteamghana","satisfaction_towards_ease_to_use","character","Satisfaction levels related to the ease of using the sanitation facility" +"cleanteamghana","cleanteamghana","satisfaction_towards_privacy_of_toilet_use","character","Satisfaction levels related to the privacy offered during toilet use" +"cleanteamghana","cleanteamghana","satisfaction_towards_toilet_cleanliness","character","Satisfaction levels related to the cleanliness of the toilet" +"cleanteamghana","cleanteamghana","satisfaction_towards_toilet_uncomfortabity","character","Discomfort experienced while using the toilet" +"cleanteamghana","cleanteamghana","sharing_of_toilet_baseline","character","Sharing pattern or practices related to using the toilet at the baseline or initial stage" +"cleanteamghana","cleanteamghana","sharing_of_toilet_endline","character","Sharing pattern or practices related to using the toilet at the endpoint or final stage" +"cleanteamghana","cleanteamghana","slab_material","character","Material used for constructing the slab of the sanitation facility" +"cleanteamghana","cleanteamghana","slab_material_other","character","Additional information on the material used for constructing the slab if it's specified as 'other'" +"cleanteamghana","cleanteamghana","smell_reduction_system","character","Method implemented within the toilet facility to reduce or eliminate unpleasant odors" +"cleanteamghana","cleanteamghana","soap_for_handwashing","character","Availability of soap provided specifically for handwashing within the toilet facility" +"cleanteamghana","cleanteamghana","source_of_water_for_drinking","character","Available water source within the toilet facility intended for drinking purposes" +"cleanteamghana","cleanteamghana","source_of_water_for_other_purposes","character","Water source within the toilet facility used for non-drinking purposes such as cleaning, flushing, or other sanitary needs" +"cleanteamghana","cleanteamghana","time_to_access_toilet","integer","Time taken to reach the toilet from a specific point, likely measured in minutes." +"cleanteamghana","cleanteamghana","time_to_get_water","integer","Time required to access water, likely measured in minutes" +"cleanteamghana","cleanteamghana","toilet_door","character","Presence of toilet door in the toilet facility" +"cleanteamghana","cleanteamghana","toilet_location_baseline","character","Initial or baseline location of the toilet facility" +"cleanteamghana","cleanteamghana","toilet_location_ctg","character","Location of the Clean Team Ghana toilet facility" +"cleanteamghana","cleanteamghana","toilet_on_compound_cant_use","character","Presence of a toilet within a compound that is unusable for some reason" +"cleanteamghana","cleanteamghana","toilet_public_usage_baseline","character","Usage pattern or availability of the toilet facility at the baseline" +"cleanteamghana","cleanteamghana","toilet_public_usage_endline","character","Usage pattern or availability of the toilet facility at the endpoint or final stage" +"cleanteamghana","cleanteamghana","toilet_roof","character","Presence of toilet roof in the toilet facility" +"cleanteamghana","cleanteamghana","toilet_scrubbedmopped_frequency","character","Frequency of cleaning activities like scrubbing and mopping of the toilet" +"cleanteamghana","cleanteamghana","toilet_use_payment_option","character","Payment for using the toilet" +"cleanteamghana","cleanteamghana","toilet_walls","character","Presence of toilet wall in the toilet facility" +"cleanteamghana","cleanteamghana","type_of_toilet","character","Type of toilet facility (e.g., pit latrine, flush toilet)" +"cleanteamghana","cleanteamghana","urinate_or_defecate_at_night","character","Behavior related to urination or defecation during the night" +"cleanteamghana","cleanteamghana","urinate_or_defecate_at_night_use_ctg","character","Nighttime urination or defecation patterns in the Clean Team Ghana toilet" +"cleanteamghana","cleanteamghana","use_non_ctg_toilet","character","Usage of a non-Clean Team Ghana provided toilet facility" +"cleanteamghana","cleanteamghana","wait_for_replacement_ctg","integer","If the residents waiting for a replacement of the Clean Team Ghana toilet" +"cleanteamghana","cleanteamghana","water_for_handwashing","character","Availability of water for handwashing" +"cleanteamghana","cleanteamghana","why_not_observed","character","Reasons why CTG toilet wasn't observed" +"cleanteamghana","cleanteamghana","why_not_use_a_toilet","character","Reasons for not using a toilet in general" +"cleanteamghana","cleanteamghana","why_not_use_household_toilets","character","Reasons for not using a household toilet" +"cleanteamghana","cleanteamghana","why_not_use_household_toilets_other","character","Additional reasons for not using household toilets if specified as 'other'" +"cleanteamghana","cleanteamghana","years_living_in_current_house","integer","Duration of time spent living in the current household" +"cleanteamghana","cleanteamghana","household_size","integer","Total number of individuals living in a household" +"cleanteamghana","cleanteamghana","adults","integer","Count of adults in the household" +"cleanteamghana","cleanteamghana","kids","integer","Count of kids in the household" +"cleanteamghana","cleanteamghana","sanqol_rawindex","integer","Raw numerical index representing the overall satisfaction in sanitation quality of life" +"cleanteamghana","cleanteamghana","sanqol_rawscore","integer","Raw numerical score representing the overall satisfaction in sanitation quality of life" +"cleanteamghana","cleanteamghana","cost_per_month_public_baseline","integer","Cost per month related to public toilet usage at the baseline stage" +"cleanteamghana","cleanteamghana","cost_per_month_endline","numeric","Cost per month related to toilet usage at the endline stage" +"dowaodfsurvey","dowaodf","survey_date","character","Date the household survey was completed" +"dowaodfsurvey","dowaodf","district","character","Name of the district where the household is located" +"dowaodfsurvey","dowaodf","gvh","character","Name of the Group Village Headman (GVH) area" +"dowaodfsurvey","dowaodf","health_facility","character","Name of the nearest or associated health facility" +"dowaodfsurvey","dowaodf","sanitation_observed","character","Whether a sanitation facility was observed at the household" +"dowaodfsurvey","dowaodf","sanitation_type","character","Type of sanitation facility observed (e.g., pit latrine, flush toilet)" +"dowaodfsurvey","dowaodf","pit_cover_or_seal","character","Whether the facility has a pit cover or water seal to block flies" +"dowaodfsurvey","dowaodf","sanitation_near_water","character","Whether the sanitation facility is located within 30m of a water point" +"dowaodfsurvey","dowaodf","sanitation_distance","character","Approximate distance of the facility from the household" +"dowaodfsurvey","dowaodf","has_privacy","character","Whether the sanitation facility offers visual privacy" +"dowaodfsurvey","dowaodf","has_security","character","Whether the sanitation facility provides physical security" +"dowaodfsurvey","dowaodf","has_roof","character","Whether the facility has a roof to prevent rain entry" +"dowaodfsurvey","dowaodf","shared_sanitation","character","Whether the sanitation facility is shared with other households" +"dowaodfsurvey","dowaodf","child_faeces_disposal","character","How faeces of children are disposed of (e.g., in toilet, open area)" +"dowaodfsurvey","dowaodf","child_faeces_disposal_other","character","If other disposal method is used, specify it" +"dowaodfsurvey","dowaodf","usual_defecation_place","character","Where household members usually defecate" +"dowaodfsurvey","dowaodf","faeces_seen_in_village","character","Whether respondent observed faeces in the village in the past 6 months" +"dowaodfsurvey","dowaodf","faeces_around_house","character","Whether faeces were observed around the household at the time of visit" +"dowaodfsurvey","dowaodf","handwash_near_sanitation","character","Whether a handwashing facility is within 10 paces of the sanitation facility" +"dowaodfsurvey","dowaodf","handwash_has_water","character","Whether the handwashing facility has water available" +"dowaodfsurvey","dowaodf","handwash_has_soap","character","Whether soap is available at the handwashing station" +"dowaodfsurvey","dowaodf","handwash_in_use","character","Whether there is evidence that the handwashing station is being used" +"dowaodfsurvey","dowaodf","mhm_materials_used","character","Menstrual hygiene materials used by women in the household" +"dowaodfsurvey","dowaodf","mhm_cleaned","character","Whether reusable menstrual materials are cleaned" +"dowaodfsurvey","dowaodf","mhm_cleaning_method","character","How menstrual materials are cleaned (e.g., water and soap)" +"dowaodfsurvey","dowaodf","mhm_drying_method","character","How menstrual materials are dried (e.g., sun, inside room)" +"dowaodfsurvey","dowaodf","mhm_disposal_place","character","Where menstrual materials are disposed of" +"dowaodfsurvey","dowaodf","has_bathroom","character","Whether the household has a designated bathroom facility" +"dowaodfsurvey","dowaodf","bathing_has_water","character","Whether sufficient water is available for bathing" +"dowaodfsurvey","dowaodf","bathing_water_source","character","Source of water used for bathing (e.g., borehole, unprotected spring)" +"dowaodfsurvey","dowaodf","bathroom_has_soap","character","Whether soap is available at the bathroom facility" +"dowaodfsurvey","dowaodf","bathroom_in_use","character","Whether there is evidence that the bathroom facility is being used" +"dowaodfsurvey","dowaodf","bathroom_has_privacy","character","Whether the bathroom offers visual privacy" +"dowaodfsurvey","dowaodf","bathroom_has_security","character","Whether the bathroom provides physical security" +"drillingdata","drillingdata","date_of_drilling","character","The date when drilling was carried out." +"drillingdata","drillingdata","water_point_created","character","Indicates whether the water point has been created" +"drillingdata","drillingdata","latitude","numeric","The geographic latitude of the drilling site." +"drillingdata","drillingdata","longtude","numeric","The geographic longitude of the drilling site." +"drillingdata","drillingdata","use_of_waterpoint","character","The intended use of the water point" +"drillingdata","drillingdata","other_useage","character","Any additional usage of the water point not covered by the standard categories." +"drillingdata","drillingdata","funding_source","character","The source of funding for the drilling project" +"drillingdata","drillingdata","wrb1a_form_completed","character","Indicates whether the WRB1A form for the drilling project has been completed." +"drillingdata","drillingdata","contract_signed","character","Whether a contract has been signed for the drilling project." +"drillingdata","drillingdata","community_agreement","character","Whether an agreement with the community has been made regarding the water point." +"drillingdata","drillingdata","gov_supervisor_available","character","Indicates whether a government supervisor is available during the drilling process." +"drillingdata","drillingdata","drilling_contractor","character","The name of the contractor responsible for the drilling." +"drillingdata","drillingdata","driller_licensed","character","Indicates whether the driller is licensed to carry out the drilling." +"drillingdata","drillingdata","staff_experienced","character","Indicates whether the staff involved in the drilling project are experienced." +"drillingdata","drillingdata","drilling_rig_model","character","The model of the drilling rig used for the project." +"drillingdata","drillingdata","compressor_specs","character","Specifications of the compressor used during the drilling." +"drillingdata","drillingdata","equipment_condition","character","The condition of the drilling equipment" +"drillingdata","drillingdata","safety_features_condition","character","The condition of the safety features of the equipment." +"drillingdata","drillingdata","equipment_capability","character","The overall capability of the equipment used in drilling." +"drillingdata","drillingdata","equipment_capability_specs","character","Specifications related to the equipments capabilities." +"drillingdata","drillingdata","ppe_available","character","Indicates whether personal protective equipment (PPE) is available for the workers." +"drillingdata","drillingdata","drilling_equipment_image","character","An image of the drilling equipment used in the project." +"drillingdata","drillingdata","location_selection_methodology","character","The methodology used to select the drilling location." +"drillingdata","drillingdata","hydrogeological_study_done","character","Indicates whether a hydrogeological study has been done at the drilling site." +"drillingdata","drillingdata","geophysical_survey_done","character","Indicates whether a geophysical survey has been done at the site." +"drillingdata","drillingdata","min_distance_50m_from_contamination","character","The minimum distance (in meters) the drilling site is from contamination sources (50 meters or more)." +"drillingdata","drillingdata","distance_from_contamination","character","The distance of the drilling site from any contamination sources." +"drillingdata","drillingdata","location_accessible","character","Indicates whether the site is accessible for drilling." +"drillingdata","drillingdata","location_suitable_for_drilling","character","Indicates whether the site is suitable for drilling" +"drillingdata","drillingdata","distance_from_water_bodies","character","The distance of the drilling site from nearby water bodies" +"drillingdata","drillingdata","location_photo","character","A photograph of the drilling site location." +"drillingdata","drillingdata","perimeter_fence","character","Indicates whether there is a perimeter fence around the site for security." +"drillingdata","drillingdata","staff_protected","character","Indicates whether the staff are protected from potential risks" +"drillingdata","drillingdata","parking_area","character","Indicates whether a parking area is available for vehicles at the site." +"drillingdata","drillingdata","emergency_access","character","Indicates whether there is easy emergency access to the site." +"drillingdata","drillingdata","suitable_distance_from_power_lines","character","Indicates whether the site is located at a suitable distance from power lines." +"drillingdata","drillingdata","distance","character","The distance from a reference point or key feature to the drilling site." +"drillingdata","drillingdata","materials_stored_safely","character","Indicates whether the materials are stored safely at the site." +"drillingdata","drillingdata","chemicals_stored_safely","character","Indicates whether chemicals are stored safely on-site." +"drillingdata","drillingdata","first_aid_kit","character","Indicates whether a first aid kit is available at the site." +"drillingdata","drillingdata","fire_extinguisher","character","Indicates whether a fire extinguisher is available at the site." +"drillingdata","drillingdata","adquate_welfare_facilities","character","Indicates whether the welfare facilities are adequate for the workers." +"drillingdata","drillingdata","welfare_facilities_distance","character","The distance of the welfare facilitiesfrom the drilling site." +"drillingdata","drillingdata","site_setup_preliminaries_completed","character","Indicates whether the preliminary setup activities for drilling have been completed." +"drillingdata","drillingdata","rig_setup_properly","character","Indicates whether the drilling rig has been set up properly." +"drillingdata","drillingdata","reference_point","character","A reference point used for the drilling sites coordinates or location." +"drillingdata","drillingdata","reference_point_height","numeric","The height of the reference point above or below sea level." +"drillingdata","drillingdata","rig_level_method","character","The method used to level the drilling rig at the site." +"drillingdata","drillingdata","rig_setup_problems","character","Any issues encountered during the setup of the drilling rig." +"drillingdata","drillingdata","setup_problems","logical","Boolean indicating whether any setup problems were encountered." +"drillingdata","drillingdata","drill_rod_length","numeric","The length of the drill rods used in the drilling operation." +"drillingdata","drillingdata","min_diameter_177mm","character","The minimum diameter of the borehole (177mm)." +"drillingdata","drillingdata","min_diameter","character","The minimum diameter of the borehole for drilling." +"drillingdata","drillingdata","casing_stored_properly","character","Indicates whether the casing materials are stored properly." +"drillingdata","drillingdata","where_stored","character","The location where the casing materials are stored." +"drillingdata","drillingdata","why_not_properly_stored","logical","Indicates why the casing materials were not stored properly." +"drillingdata","drillingdata","index_1","numeric","An index value for referencing in the dataset." +"drillingdata","drillingdata","rod_number","numeric","The number of rods used during the drilling process." +"drillingdata","drillingdata","depth_from_1","numeric","The starting depth (in meters) for the first drilling operation." +"drillingdata","drillingdata","depth_to_1","numeric","The ending depth (in meters) for the first drilling operation." +"drillingdata","drillingdata","circulation_method","character","The method used for circulating fluids during drilling." +"drillingdata","drillingdata","drill_bit_type","character","The type of drill bit used during drilling." +"drillingdata","drillingdata","drilling_diameter_mm","numeric","The diameter of the borehole in millimeters." +"drillingdata","drillingdata","time_taken_in_minutes","numeric","The total time taken for drilling (in minutes)." +"drillingdata","drillingdata","drilling_comments","character","Comments related to the drilling process." +"drillingdata","drillingdata","water_strike_in_miters","numeric","The depth at which water was first encountered during drilling (in meters)." +"drillingdata","drillingdata","index_2","numeric","An index value for referencing in the dataset." +"drillingdata","drillingdata","depth_from_2","numeric","The starting depth (in meters) for the second drilling operation." +"drillingdata","drillingdata","depth_to_2","numeric","The ending depth (in meters) for the second drilling operation." +"drillingdata","drillingdata","temp_casing_material","character","The material used for the temporary casing in the borehole." +"drillingdata","drillingdata","temp_casing_diameter","numeric","The diameter of the temporary casing (in millimeters)." +"drillingdata","drillingdata","index_3","numeric","An index value for referencing in the dataset." +"drillingdata","drillingdata","depth_from_3","numeric","The starting depth (in meters) for the third drilling operation." +"drillingdata","drillingdata","depth_to_3","numeric","The ending depth (in meters) for the third drilling operation." +"drillingdata","drillingdata","rock_or_soil_type","character","The type of rock or soil encountered at the drilling site." +"drillingdata","drillingdata","colour","character","The color of the rock or soil encountered during drilling." +"drillingdata","drillingdata","weathering","character","The level of weathering observed in the rock or soil encountered." +"drillingdata","drillingdata","grain_size_description","character","A description of the grain size of the soil or rock." +"drillingdata","drillingdata","sorting","character","The sorting characteristics of the soil or rock (e.g. well-sorted, poorly sorted)." +"drillingdata","drillingdata","additional_description","character","Any additional description related to the geological formation or drilling process." +"drillingdata","drillingdata","formation_name","character","The name of the geological formation encountered during drilling." +"drillingdata","drillingdata","index_4","numeric","An index value for referencing in the dataset." +"drillingdata","drillingdata","hole_depth_1","numeric","The depth of the hole for the first section of drilling (in meters)." +"drillingdata","drillingdata","discharge_rate_1","numeric","The discharge rate of water from the borehole (in liters per minute or other units)." +"drillingdata","drillingdata","discharge_measurement_method","character","The method used to measure the discharge rate of the borehole." +"drillingdata","drillingdata","ec_ms_cm_1","numeric","The electrical conductivity of the water at the first measurement point (in mS/cm)." +"drillingdata","drillingdata","tds_mgl_1","numeric","The total dissolved solids (TDS) in the water at the first measurement point (in mg/L)." +"drillingdata","drillingdata","ph_1","numeric","The pH of the water at the first measurement point." +"drillingdata","drillingdata","temp_celcius_1","numeric","The temperature of the water at the first measurement point (in Celcius)." +"drillingdata","drillingdata","comments_1","character","Comments related to the first measurement point (e.g. water quality, observations)." +"drillingdata","drillingdata","borehole_depth_miters","numeric","The total depth of the borehole (in meters)." +"drillingdata","drillingdata","water_level","numeric","The water level in the borehole after drilling (in meters)." +"drillingdata","drillingdata","measurement_date","character","The date when measurements were taken for water level, discharge, etc." +"drillingdata","drillingdata","borehole_suitable_further_use","character","Whether the borehole is suitable for further use (e.g. for a pump, additional development)." +"drillingdata","drillingdata","installation_design_available","character","Whether a design is available for installing equipment in the borehole." +"drillingdata","drillingdata","design_agreed_by_driller","character","Whether the design was agreed upon by the driller." +"drillingdata","drillingdata","date_casing_installation","character","The date when the casing was installed in the borehole." +"drillingdata","drillingdata","materials_meet_standards","character","Whether the materials used in the drilling process meet established standards." +"drillingdata","drillingdata","materials_pre_inspected","character","Whether the materials used in the drilling process were pre-inspected." +"drillingdata","drillingdata","Index (8)","numeric","An index value for referencing in the dataset." +"drillingdata","drillingdata","inner_diameter","numeric","The inner diameter of the casing (in millimeters)." +"drillingdata","drillingdata","outer_diameter","numeric","The outer diameter of the casing (in millimeters)." +"drillingdata","drillingdata","material_1","character","The material used for the first section of the casing." +"drillingdata","drillingdata","slot_aperture","numeric","The size of the slot aperture in the casing (in millimeters)." +"drillingdata","drillingdata","end_cap_fitted","character","Whether an end cap was fitted to the casing." +"drillingdata","drillingdata","centralisers_fitted","character","Whether centralizers were fitted in the borehole casing." +"drillingdata","drillingdata","casing_connection_type","character","The type of connection used for the casing segments (e.g., threaded, welded)." +"drillingdata","drillingdata","index_9","numeric","An index value for referencing in the dataset." +"drillingdata","drillingdata","depth_from_4","numeric","The starting depth (in meters) for the fourth drilling operation." +"drillingdata","drillingdata","depth_to_4","numeric","The ending depth (in meters) for the fourth drilling operation." +"drillingdata","drillingdata","casing_inner_diameter","numeric","The inner diameter of the casing (in millimeters)." +"drillingdata","drillingdata","casing_material","character","The material of the casing used for the borehole." +"drillingdata","drillingdata","casing_material_strength","character","The strength of the casing material used in the borehole." +"drillingdata","drillingdata","slotted","character","Indicates whether the casing is slotted for water entry." +"drillingdata","drillingdata","gravel_pack_clean","character","Indicates whether the gravel pack is clean and free of contaminants." +"drillingdata","drillingdata","gravel_pack_quality","character","The quality of the gravel pack used in the borehole." +"drillingdata","drillingdata","index_10","numeric","An index value for referencing in the dataset." +"drillingdata","drillingdata","depth_from_5","numeric","The starting depth (in meters) for the fifth drilling operation." +"drillingdata","drillingdata","depth_to_5","numeric","The ending depth (in meters) for the fifth drilling operation." +"drillingdata","drillingdata","gravel_min_grain_size","numeric","The minimum grain size of the gravel used in the pack (in millimeters)." +"drillingdata","drillingdata","gravel_max_grain_size","numeric","The maximum grain size of the gravel used in the pack (in millimeters)." +"drillingdata","drillingdata","gravel_pack_final_level","numeric","The final level of the gravel pack after installation (in meters)." +"drillingdata","drillingdata","static_water_level_pre_dev","numeric","The static water level before development work begins (in meters)." +"drillingdata","drillingdata","index_11","numeric","An index value for referencing in the dataset." +"drillingdata","drillingdata","duration","numeric","The total duration of the drilling process (in hours or days)." +"drillingdata","drillingdata","method","character","The method used for the drilling process (e.g. rotary, percussion)." +"drillingdata","drillingdata","index_12","numeric","An index value for referencing in the dataset." +"drillingdata","drillingdata","time","numeric","The amount of time taken for specific drilling operations (in minutes)." +"drillingdata","drillingdata","lift_depth","numeric","The depth at which the lift occurs during the drilling operation (in meters)." +"drillingdata","drillingdata","discharge_rate","numeric","The discharge rate of water from the borehole at a later measurement point (in liters per minute)." +"drillingdata","drillingdata","ec_ms_cm_3","numeric","The electrical conductivity of the water at a later measurement point (in mS/cm)." +"drillingdata","drillingdata","tds_mg_l_2","numeric","The total dissolved solids (TDS) in the water at a later measurement point (in mg/L)." +"drillingdata","drillingdata","ph_3","numeric","The pH of the water at a later measurement point." +"drillingdata","drillingdata","temp_c_2","numeric","The temperature of the water at a later measurement point (in Celcius)." +"drillingdata","drillingdata","turbidity_ntu","numeric","The turbidity of the water (cloudiness) measured in NTU (Nephelometric Turbidity Units)." +"drillingdata","drillingdata","sediment","character","The amount or type of sediment in the water at a later measurement point." +"drillingdata","drillingdata","static_water_level_post_dev","numeric","The static water level after development work is done (in meters)." +"drillingdata","drillingdata","final_borehole_design_summary","character","A summary of the final borehole design, including all technical and engineering details." "ds4owdanalytics","course_participation","duration_minutes","numeric","Minutes spent in the session" "ds4owdanalytics","course_participation","guest","character","Whether the user is a guest or not. The course instructor and their notetaker is not a guest" "ds4owdanalytics","course_participation","date","character","Date of the session" @@ -219,6 +736,13 @@ "fecalcanuga","containment","fs_volume","numeric","total volume of the sludge in containment in m^3" "fecalcanuga","containment","accumulation_rate","numeric","the accumulation rate in litres/capita -year (based on total volume and number of users)" "fecalcanuga","containment","scum_depth","numeric","the depth of the top scum layer in centimeters" +"fecalcanuga","ghg","sample_id","factor","unique identifier for each sampling location in the format ##-Location-ddmmyyyy" +"fecalcanuga","ghg","location_id","factor","unique location identifier for each sampling day in the format of (#)-day of sampling (a) - location in that day" +"fecalcanuga","ghg","date","POSIXct","date of sampling" +"fecalcanuga","ghg","users","numeric","average number of users for the sanitation system that was sampled" +"fecalcanuga","ghg","flux_ch4","numeric","methane flux in grams/capita-day - based on number of users" +"fecalcanuga","ghg","flux_co2","numeric","carbon dioxide flux in grams/capita-day - based on number of users" +"fecalcanuga","ghg","flux_n2o","numeric","nitrous oxide flux in grams/capita-day - based on number of users" "fecalcanuga","household_survey","sample_id","factor","unique identifier for each sampling location in the format ##-Location-ddmmyyyy" "fecalcanuga","household_survey","location_id","factor","unique location identifier for each sampling day in the format of (#)-day of sampling (a) - location in that day" "fecalcanuga","household_survey","date","POSIXct","date of sampling" @@ -405,6 +929,51 @@ "floodchlorinationsurvey","floodchlorinationsurvey","functionality_after","character","Functional status of the water point after intervention" "floodchlorinationsurvey","floodchlorinationsurvey","time_to_fill_20l_bucket","numeric","Time (in seconds) it took to fill a 20L bucket" "floodchlorinationsurvey","floodchlorinationsurvey","strokes_to_yield_water","numeric","Number of strokes required to yield water from the pump" +"floodresponsemw","floodresponsemw","submitted_on","character","Date when the water point assessment form was submitted." +"floodresponsemw","floodresponsemw","water_point_name","character","Name or identifier of the water point site." +"floodresponsemw","floodresponsemw","latitude","numeric","Latitude coordinate of the water point location." +"floodresponsemw","floodresponsemw","longitude","numeric","Longitude coordinate of the water point location." +"floodresponsemw","floodresponsemw","total_users_of_water_point","numeric","Number of people currently using the water point." +"floodresponsemw","floodresponsemw","water_point_photos","character","Photos taken to show the current condition of the water point." +"floodresponsemw","floodresponsemw","likely_submerged_during_flood","character","Whether the water point was likely submerged during recent flooding (Yes or No)." +"floodresponsemw","floodresponsemw","evidence_submerged","character","Evidence observed that the water point was submerged." +"floodresponsemw","floodresponsemw","evidence_not_submerged","character","Evidence observed that the water point was not submerged." +"floodresponsemw","floodresponsemw","functional_status","character","Current operational status of the water point." +"floodresponsemw","floodresponsemw","pumpable_at_visit","character","Whether water could be pumped during the visit (Yes or No)." +"floodresponsemw","floodresponsemw","reported_problems","character","List of problems reported or observed (e.g., broken parts, contamination)." +"floodresponsemw","floodresponsemw","reported_problems_other","character","Additional problem descriptions not in the predefined list." +"floodresponsemw","floodresponsemw","water_quality_problems","character","Specific issues related to water quality (e.g., bad smell, taste, turbidity)." +"floodresponsemw","floodresponsemw","civil_works_problems","character","Structural or construction related issues affecting the water point." +"floodresponsemw","floodresponsemw","civil_works_photo","character","Photo documenting the civil works issue." +"floodresponsemw","floodresponsemw","pump_problems","character","Mechanical issues related to the pump (e.g., broken handle)." +"floodresponsemw","floodresponsemw","pump_problems_other","character","Additional pump issues not listed in predefined options." +"floodresponsemw","floodresponsemw","pump_problems_photo","character","Photo documenting the pump issue." +"floodresponsemw","floodresponsemw","pump_operational_feel","character","Assessors impression of the pumps functionality during operation." +"floodresponsemw","floodresponsemw","time_to_pump_20l","numeric","Time taken to pump 20 liters of water (in seconds)." +"floodresponsemw","floodresponsemw","strokes_to_yield_water","numeric","Number of strokes required to start yielding water." +"floodresponsemw","floodresponsemw","sediment_presence","character","Whether visible sediment was present in the water." +"floodresponsemw","floodresponsemw","electrical_conductivity_magnitude","numeric","Measured electrical conductivity value of the water." +"floodresponsemw","floodresponsemw","electrical_conductivity_units","character","Units used to measure electrical conductivity (e.g., uS/cm)." +"floodresponsemw","floodresponsemw","total_dissolved_solids_ppt","numeric","Total dissolved solids in parts per thousand (ppt)." +"floodresponsemw","floodresponsemw","ph","numeric","pH level of the water sample." +"floodresponsemw","floodresponsemw","fluoride_ppm","numeric","Fluoride concentration in parts per million (ppm)." +"floodresponsemw","floodresponsemw","ammonia_mg_per_l","numeric","Ammonia concentration in milligrams per liter (mg/L)." +"floodresponsemw","floodresponsemw","nitrate_mg_per_l","numeric","Nitrate concentration in milligrams per liter (mg/L)." +"floodresponsemw","floodresponsemw","free_chlorine_mg_per_l","numeric","Free chlorine concentration in milligrams per liter (mg/L)." +"floodresponsemw","floodresponsemw","arsenic_magnitude","numeric","Measured value of arsenic in the water." +"floodresponsemw","floodresponsemw","arsenic_units","character","Units used to measure arsenic concentration." +"floodresponsemw","floodresponsemw","turbidity_magnitude","numeric","Turbidity level measured using a turbidity tube." +"floodresponsemw","floodresponsemw","turbidity_units","character","Units used for turbidity measurement (e.g., NTU)." +"floodresponsemw","floodresponsemw","temperature_magnitude","numeric","Temperature of the water sample (numeric value)." +"floodresponsemw","floodresponsemw","temperature_units","character","Units used for temperature (e.g., degree Celcius)." +"floodresponsemw","floodresponsemw","temperature_time","character","Time the temperature was recorded." +"floodresponsemw","floodresponsemw","comments","character","Additional remarks or observations by the enumerator." +"floodresponsemw","floodresponsemw","sample_type","character","Type of water sample collected (e.g., raw, treated)." +"floodresponsemw","floodresponsemw","sample_date","character","Date the water sample was taken." +"floodresponsemw","floodresponsemw","mpn_100ml","numeric","Most probable number (MPN) of bacteria per 100 ml of water." +"floodresponsemw","floodresponsemw","upper_95_ci_100ml","numeric","Upper 95 percentage confidence interval of MPN per 100 ml." +"floodresponsemw","floodresponsemw","health_risk_category","character","Risk classification based on MPN results (e.g., low, medium, high)." +"floodresponsemw","floodresponsemw","color_change_image","character","Image showing color change in test compartments used for bacterial analysis." "fslogisticskampala","trips","fid","integer","Running ID for each recorded GPS location of a truck." "fslogisticskampala","trips","numberplate","character","Numberplate of the truck, can be joined with `trucks` resource." "fslogisticskampala","trips","date","Date","Date of the record in ISO 8601 format." @@ -421,8 +990,8 @@ "fsmglobal","fsmglobal","population_emptying_method","numeric","Total population requiring faecal sludge emptying services for type of method identified in `emptying_method`." "fsmglobal","fsmglobal","count_pits_septics","numeric","Total number of pit latrines and septic tanks in country." "fsmglobal","fsmglobal","emptying_demand","numeric","Emptying demand as the proportion of `population_emptying_method` / `population_2017`." -"fsmglobal","fsmglobal","urban_demand","numeric","Proportion of urban population." -"fsmglobal","fsmglobal","rural_demand","numeric","Proportion of rural population." +"fsmglobal","fsmglobal","urban_demand","numeric","Urban proportion of the emptying demand (share of `population_emptying_method` in urban areas)." +"fsmglobal","fsmglobal","rural_demand","numeric","Rural proportion of the emptying demand (share of `population_emptying_method` in rural areas)." "gdho","gdho","id","integer","A unique Id for each organisation" "gdho","gdho","year","integer","Latest year information is available for" "gdho","gdho","name","character","Full organisation name" @@ -737,6 +1306,241 @@ "glossarywho","definitions","Description","character","Description of the term" "glossarywho","themes","Thematic Area","character","Thematic Area" "glossarywho","themes","Term","character","Term in the Glossary" +"grdwtrsmpkwale","selected_samples","code","character","Code of the sampling point: an abbreviation of the site name followed by the weekly sampling round (1 = 10 June, 2 = 18 June, 3 = 24 June 2016)." +"grdwtrsmpkwale","selected_samples","date","dttm","Date the sample was taken." +"grdwtrsmpkwale","selected_samples","conductivity","double","Conductivity of the sample in (µS/cm)" +"grdwtrsmpkwale","selected_samples","T_avg","double","Average ambient temperature at the time of the sampling" +"grdwtrsmpkwale","selected_samples","pH","double","Acidity/basicity of the sample using the pH value." +"grdwtrsmpkwale","selected_samples","Cl","double","Chlorine concentration in (mg/L)" +"grdwtrsmpkwale","selected_samples","SO4","double","Sulfate concentration in (mg/L)" +"grdwtrsmpkwale","selected_samples","NO3","double","Nitrate concentration in (mg/L)" +"grdwtrsmpkwale","selected_samples","PO4","double","Phosphate concentration in (mg/L)" +"grdwtrsmpkwale","selected_samples","Br","double","Bromine concentration in (mg/L)" +"grdwtrsmpkwale","selected_samples","F","double","Fluorine concentration in (mg/L)" +"grdwtrsmpkwale","selected_samples","Ca","double","Calcium concentration in (mg/L)" +"grdwtrsmpkwale","selected_samples","Mg","double","Magnesium concentration in (mg/L)" +"grdwtrsmpkwale","selected_samples","Na","double","Sodium concentration in (mg/L)" +"grdwtrsmpkwale","selected_samples","K","double","Potassium concentration in (mg/L)" +"grdwtrsmpkwale","selected_samples","Fe","double","Iron concentration in (mg/L)" +"grdwtrsmpkwale","selected_samples","Si","double","Silicon concentration in (mg/L)" +"grdwtrsmpkwale","selected_samples","Al","double","Aluminum concentration in (mg/L)" +"grdwtrsmpkwale","selected_samples","S","double","Sulfur concentration in (mg/L)" +"grdwtrsmpkwale","selected_samples","P","double","Phosphorus concentration in (mg/L)" +"grdwtrsmpkwale","selected_samples","Li","double","Lithium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","Be","double","Beryllium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","B","double","Boron concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","Sc","double","Scandium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","Ti","double","Titanium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","V","double","Vanadium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","Cr","double","Chromium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","Mn","double","Manganese concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","Co","double","Cobalt concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","Ni","double","Nickel concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","Cu","double","Copper concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","Zn","double","Zinc concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","Ga","double","Gallium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","Ge","double","Germanium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","As","double","Arsenic concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","Se","double","Selenium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","Rb","double","Rubidium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","Sr","double","Strontium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","Y","double","Yttrium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","Zr","double","Zirconium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","Nb","double","Niobium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","Mo","double","Molybdenum concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","Cd","double","Cadmium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","Sn","double","Tin concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","Sb","double","Antimony concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","Cs","double","Cesium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","Ba","double","Barium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","La","double","Lanthanum concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","Ce","double","Cerium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","Pr","double","Praseodymium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","Nd","double","Neodymium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","Sm","double","Samarium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","Eu","double","Europium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","Gd","double","Gadolinium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","Tb","double","Terbium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","Dy","double","Dysprosium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","Ho","double","Holmium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","Er","double","Erbium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","Tm","double","Thulium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","Yb","double","Ytterbium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","Lu","double","Lutetium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","Hf","double","Hafnium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","Ta","double","Tantalum concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","W","double","Wolfram concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","Tl","double","Thallium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","Pb","double","Lead concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","Bi","double","Bismuth concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","Th","double","Thorium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","selected_samples","U","double","Uranium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","localization","character","Name of the localization where the sample was taken." +"grdwtrsmpkwale","water_samples","geology","character","Composition of the ground." +"grdwtrsmpkwale","water_samples","utm_x","character","Geospatial data of the water sampling locations. The geographic coordinate system 'Arc 1960 / UTM zone 37S' (EPSG:21037) which is used for the areas of Kenya and Tanzania - south of equator and east of 36°E." +"grdwtrsmpkwale","water_samples","utm_y","character","Geospatial data of the water sampling locations. The geographic coordinate system 'Arc 1960 / UTM zone 37S' (EPSG:21037) which is used for the areas of Kenya and Tanzania - south of equator and east of 36°E." +"grdwtrsmpkwale","water_samples","date","dttm","Date the sample was taken." +"grdwtrsmpkwale","water_samples","conductivity","double","Conductivity of the sample in (µS/cm)" +"grdwtrsmpkwale","water_samples","T_avg","double","Average ambient temperature at the time of the sampling" +"grdwtrsmpkwale","water_samples","pH","double","Acidity/basicity of the sample using the pH value." +"grdwtrsmpkwale","water_samples","TOC","double","Total organic carbon (TOC) is an analytical parameter representing the concentration of organic carbon in a sample." +"grdwtrsmpkwale","water_samples","alkalinity","double","Alkalinity of the sample as mg of bicarbonate (HCO3) per liter (mg_HCO3/L)." +"grdwtrsmpkwale","water_samples","DO","double","Dissolved oxygen (DO) levels in environmental water depend on the physiochemical and biochemical activities in water body and it is an important useful in pollution and waste treatment process control." +"grdwtrsmpkwale","water_samples","ORP","double","Oxidation reduction potential (ORP) in (mV)." +"grdwtrsmpkwale","water_samples","eH","double","Redox potential (eH) in (mV)." +"grdwtrsmpkwale","water_samples","NH4","double","Ammonium concentration in (mg/L)." +"grdwtrsmpkwale","water_samples","Cl","double","Chlorine concentration in (mg/L)" +"grdwtrsmpkwale","water_samples","SO4","double","Sulfate concentration in (mg/L)" +"grdwtrsmpkwale","water_samples","NO3","double","Nitrate concentration in (mg/L)" +"grdwtrsmpkwale","water_samples","PO4","double","Phosphate concentration in (mg/L)" +"grdwtrsmpkwale","water_samples","Br","double","Bromine concentration in (mg/L)" +"grdwtrsmpkwale","water_samples","F","double","Fluorine concentration in (mg/L)" +"grdwtrsmpkwale","water_samples","Ca","double","Calcium concentration in (mg/L)" +"grdwtrsmpkwale","water_samples","Mg","double","Magnesium concentration in (mg/L)" +"grdwtrsmpkwale","water_samples","Na","double","Sodium concentration in (mg/L)" +"grdwtrsmpkwale","water_samples","K","double","Potassium concentration in (mg/L)" +"grdwtrsmpkwale","water_samples","Fe","double","Iron concentration in (mg/L)" +"grdwtrsmpkwale","water_samples","Si","double","Silicon concentration in (mg/L)" +"grdwtrsmpkwale","water_samples","Al","double","Aluminum concentration in (mg/L)" +"grdwtrsmpkwale","water_samples","S","double","Sulfur concentration in (mg/L)" +"grdwtrsmpkwale","water_samples","P","double","Phosphorus concentration in (mg/L)" +"grdwtrsmpkwale","water_samples","Li","double","Lithium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","Be","double","Beryllium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","B","double","Boron concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","Sc","double","Scandium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","Ti","double","Titanium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","V","double","Vanadium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","Cr","double","Chromium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","Mn","double","Manganese concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","Co","double","Cobalt concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","Ni","double","Nickel concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","Cu","double","Copper concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","Zn","double","Zinc concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","Ga","double","Gallium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","Ge","double","Germanium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","As","double","Arsenic concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","Se","double","Selenium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","Rb","double","Rubidium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","Sr","double","Strontium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","Y","double","Yttrium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","Zr","double","Zirconium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","Nb","double","Niobium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","Mo","double","Molybdenum concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","Cd","double","Cadmium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","Sn","double","Tin concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","Sb","double","Antimony concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","Cs","double","Cesium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","Ba","double","Barium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","La","double","Lanthanum concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","Ce","double","Cerium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","Pr","double","Praseodymium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","Nd","double","Neodymium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","Sm","double","Samarium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","Eu","double","Europium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","Gd","double","Gadolinium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","Tb","double","Terbium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","Dy","double","Dysprosium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","Ho","double","Holmium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","Er","double","Erbium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","Tm","double","Thulium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","Yb","double","Ytterbium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","Lu","double","Lutetium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","Hf","double","Hafnium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","Ta","double","Tantalum concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","W","double","Wolfram concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","Tl","double","Thallium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","Pb","double","Lead concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","Bi","double","Bismuth concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","Th","double","Thorium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","U","double","Uranium concentration in parts per billion (ppb)." +"grdwtrsmpkwale","water_samples","delta_O_18","double","The ratio of stable isotopes oxygen-18 (18O) and oxygen-16 (16O) as a measure of groundwater/mineral interactions." +"grdwtrsmpkwale","water_samples","delta_H_2","double","δ2H, or delta deuterium, is a measure of the relative abundance of deuterium (a stable isotope of hydrogen) in a sample, often used in hydrology and environmental science to trace the origin and movement of water." +"gwinfraassess","gwinfraassess","submitted_on","character","Date and time the assessment record was submitted." +"gwinfraassess","gwinfraassess","level_measurable","character","Indicates whether the groundwater level could be measured." +"gwinfraassess","gwinfraassess","measure_reason","character","Reason why the groundwater level could not be measured." +"gwinfraassess","gwinfraassess","well_depth","numeric","Measured depth of the monitoring well." +"gwinfraassess","gwinfraassess","depth_unit","character","Unit of measurement for well depth." +"gwinfraassess","gwinfraassess","depth_over100","character","Indicates whether the well depth exceeds 100 meters." +"gwinfraassess","gwinfraassess","endcap_available","character","Indicates whether the monitoring well end cap is present." +"gwinfraassess","gwinfraassess","measure_method","character","Method used to measure the groundwater level." +"gwinfraassess","gwinfraassess","measure_datum","character","Reference datum used for groundwater level measurements." +"gwinfraassess","gwinfraassess","casing_length","numeric","Length of well casing extending above ground level." +"gwinfraassess","gwinfraassess","casing_unit","character","Unit of measurement for casing length." +"gwinfraassess","gwinfraassess","static_level","numeric","Measured static groundwater level." +"gwinfraassess","gwinfraassess","level_unit","character","Unit of measurement for static groundwater level." +"gwinfraassess","gwinfraassess","logger_available","character","Indicates whether a groundwater level logger is installed." +"gwinfraassess","gwinfraassess","logger_not_available_reason","character","Reason why a groundwater level logger is not available." +"gwinfraassess","gwinfraassess","logger_type","character","Type or model of the installed groundwater level logger." +"gwinfraassess","gwinfraassess","logger_depth","numeric","Installation depth of the groundwater level logger." +"gwinfraassess","gwinfraassess","logger_unit","character","Unit of measurement for logger installation depth." +"gwinfraassess","gwinfraassess","logger_download","character","Indicates whether data were successfully downloaded from the groundwater level logger." +"gwinfraassess","gwinfraassess","download_problem_reason","character","Reason why logger data could not be downloaded." +"gwinfraassess","gwinfraassess","barlogger_available","character","Indicates whether a barometric logger is installed." +"gwinfraassess","gwinfraassess","barlogger_download","character","Indicates whether data were successfully downloaded from the barometric logger." +"gwinfraassess","gwinfraassess","traditional_authority","character","Traditional Authority where the monitoring well is located." +"gwinfraassess","gwinfraassess","district","character","Administrative district where the monitoring well is located." +"gwinfraassess","gwinfraassess","dipper_available","character","Indicates whether a manual water level dipper is available." +"gwinfraassess","gwinfraassess","dipper_condition","character","Physical condition of the manual water level dipper." +"gwinfraassess","gwinfraassess","dipper_problem","character","Problem identified with the manual water level dipper." +"gwinfraassess","gwinfraassess","ppe_available","character","Indicates whether personal protective equipment is available for monitoring activities." +"gwinfraassess","gwinfraassess","community_sensitized","character","Indicates whether the surrounding community has been informed about the purpose of the monitoring well." +"gwinfraassess","gwinfraassess","well_purpose","character","Primary purpose of the groundwater monitoring well." +"gwinfraassess","gwinfraassess","vandalism_reason","character","Reported reason why the monitoring well may be vandalized or damaged." +"gwinfraassess","gwinfraassess","vandal_other","character","Other reported reason for vandalism or damage." +"gwinfraassess","gwinfraassess","vandal_control","character","Suggested strategy for preventing vandalism or damage to the monitoring well." +"gwinfraassess","gwinfraassess","control_other","character","Other suggested strategy for preventing vandalism or damage." +"gwinfraassess","gwinfraassess","site_importance","character","Strategic importance of the monitoring well location." +"gwinfraassess","gwinfraassess","importance_other","character","Other description of the site's strategic importance." +"gwinfraassess","gwinfraassess","site_accessible","character","Indicates whether the monitoring well site is easily accessible." +"gwinfraassess","gwinfraassess","potable_access","character","Indicates whether the surrounding community has access to a potable water supply." +"gwinfraassess","gwinfraassess","source_type","character","Primary type of water source used by the surrounding community." +"gwinfraassess","gwinfraassess","improvement_plan","character","Recommended actions to improve the monitoring well and its associated infrastructure." +"handpumpstatusdata","handpumpstatusdata","visit_date","character","Date when the water point was visited for assessment." +"handpumpstatusdata","handpumpstatusdata","waterpoint_name","character","Name or identifier of the water point being assessed." +"handpumpstatusdata","handpumpstatusdata","waterpoint_type","character","Type of water point (e.g., borehole, well, tap)." +"handpumpstatusdata","handpumpstatusdata","latitude","numeric","Latitude coordinate of the water point." +"handpumpstatusdata","handpumpstatusdata","longitude","numeric","Longitude coordinate of the water point." +"handpumpstatusdata","handpumpstatusdata","govt_staff_available","character","Whether a government water sector staff member was present during the assessment." +"handpumpstatusdata","handpumpstatusdata","committee_permission","character","Whether permission from the Water Point or Camp Committee was obtained before the assessment." +"handpumpstatusdata","handpumpstatusdata","functionality_survey","character","Whether a water point functionality survey was conducted." +"handpumpstatusdata","handpumpstatusdata","status_changed","character","Whether the water points functionality status has changed since the previous survey/mapping." +"handpumpstatusdata","handpumpstatusdata","photo_waterpoint","character","Photo file or reference showing the water point." +"handpumpstatusdata","handpumpstatusdata","water_available","character","Whether water was available from the water point at the time of visit." +"handpumpstatusdata","handpumpstatusdata","latrines_within_50m","character","Whether there are latrines within 50 meters of the water point." +"handpumpstatusdata","handpumpstatusdata","cemetery_within_50m","character","Whether there is a cemetery within 50 meters of the water point." +"handpumpstatusdata","handpumpstatusdata","waste_within_50m","character","Whether there are waste dumps within 50 meters of the water point." +"handpumpstatusdata","handpumpstatusdata","river_within_50m","character","Whether there is a river within 50 meters of the water point." +"handpumpstatusdata","handpumpstatusdata","lake_within_50m","character","Whether there is a lake or large pond within 50 meters of the water point." +"handpumpstatusdata","handpumpstatusdata","flood_area","character","Whether the water point is located in a known flood-prone area." +"handpumpstatusdata","handpumpstatusdata","difficult_access","character","Whether accessing the water point is challenging." +"handpumpstatusdata","handpumpstatusdata","flowrate_possible","character","Whether a flow rate test could be conducted at the water point." +"handpumpstatusdata","handpumpstatusdata","flowrate_seconds","numeric","Time (in seconds) taken to fill a 20-liter bucket during the flow rate test." +"handpumpstatusdata","handpumpstatusdata","strokes_to_discharge","numeric","Number of pump strokes needed before water starts flowing from the spout." +"handpumpstatusdata","handpumpstatusdata","water_available_today","character","Whether water was available from the water point on the day of the visit." +"handpumpstatusdata","handpumpstatusdata","reason_no_water","character","Reason water was not available during the visit." +"handpumpstatusdata","handpumpstatusdata","seasonal_variation","character","Whether seasonal changes affect water availability from this source." +"handpumpstatusdata","handpumpstatusdata","when_no_water","character","Specific times of the year when water is unavailable from the source." +"handpumpstatusdata","handpumpstatusdata","pumphead_disassemble","character","Whether it was possible to disassemble the pump head during inspection." +"handpumpstatusdata","handpumpstatusdata","reason_no_disassemble","character","Reason the pump head could not be disassembled." +"handpumpstatusdata","handpumpstatusdata","reason_no_disassemble_other","character","Other specified reason why the pump head could not be disassembled." +"handpumpstatusdata","handpumpstatusdata","install_date","character","Date when the borehole or water point was installed." +"handpumpstatusdata","handpumpstatusdata","borehole_age","numeric","Approximate age of the borehole in years." +"handpumpstatusdata","handpumpstatusdata","pump_manufacturer","character","Manufacturer of the installed pump." +"handpumpstatusdata","handpumpstatusdata","pump_manufacturer_other","character","Other specified manufacturer if not listed in main options." +"handpumpstatusdata","handpumpstatusdata","drilling_contractor","character","Contractor or company that drilled the borehole." +"handpumpstatusdata","handpumpstatusdata","install_depth","numeric","Depth (in meters) of the borehole installation." +"handpumpstatusdata","handpumpstatusdata","static_water_level","numeric","Static water level measurement (depth to water before pumping)." +"handpumpstatusdata","handpumpstatusdata","pumping_test_info","character","Whether original pumping test results are available." +"handpumpstatusdata","handpumpstatusdata","drilling_report_info","character","Whether the original drilling report is available." +"handpumpstatusdata","handpumpstatusdata","water_quality_info","character","Whether the original water quality test results are available." +"handpumpstatusdata","handpumpstatusdata","repaired_before","character","Whether the borehole has been repaired multiple times in the past." +"handpumpstatusdata","handpumpstatusdata","repair_attempts","character","Number of times the borehole has been repaired." +"handpumpstatusdata","handpumpstatusdata","borehole_issues","character","Main issues affecting the boreholes performance." +"handpumpstatusdata","handpumpstatusdata","borehole_issues_other","character","Other specified issues affecting the borehole." +"handpumpstatusdata","handpumpstatusdata","operational_feel","character","General operational feel of the pump during use." +"handpumpstatusdata","handpumpstatusdata","operational_feel_other","character","Other specified operational feel not covered in main categories." +"handpumpstatusdata","handpumpstatusdata","parts_for_repair","character","Afridev pump parts that may need repair or replacement." +"handpumpstatusdata","handpumpstatusdata","photo_parts","character","Photo file or reference of the Afridev pump parts inspected." "hydrogeologicalghana","hydrogeologicalghana","date","POSIXct","Date of the measurement." "hydrogeologicalghana","hydrogeologicalghana","region","character","Name of the region where the borehole was drilled." "hydrogeologicalghana","hydrogeologicalghana","community","character","Name of the community where the borehole was drilled." @@ -747,1524 +1551,157 @@ "hydrogeologicalghana","hydrogeologicalghana","specific_capacity","numeric","Measure of the productivity of a borehole, defined as the pumping rate per unit drawdown. It is expressed in terms of volume per unit time per unit drawdown, commonly m_/day per meter of drawdown, which can be simplified to m_/day. This parameter helps in assessing the efficiency of the borehole and the aquifer's ability to transmit water to the borehole." "hydrogeologicalghana","hydrogeologicalghana","transmissivity","numeric","Measure of how much water can be transmitted horizontally through the aquifer material over a unit width and is measured in cubic meters per day (m_/day). It is a product of the hydraulic conductivity of the aquifer and the saturated thickness of the aquifer. High transmissivity indicates a highly productive aquifer." "hydrogeologicalghana","hydrogeologicalghana","aquifer_material","character","Type of geological materials (such as sand, gravel, limestone, or sandstone) that make up the aquifer from which the borehole extracts water. The characteristics of these materials, including their porosity and permeability, influence the aquifer's ability to store and transmit water. Understanding the aquifer material is critical for assessing the water quality and the potential yield of the borehole." +"mwefloodresponse","mwefloodresponse","submitted_on","character","Date and time the survey record was submitted" +"mwefloodresponse","mwefloodresponse","district","character","Administrative district where the water point is located" +"mwefloodresponse","mwefloodresponse","community","character","Name of the local community or village" +"mwefloodresponse","mwefloodresponse","people_using","numeric","Number of people currently using the water point" +"mwefloodresponse","mwefloodresponse","photo_water_point","character","link of photo showing the water point" +"mwefloodresponse","mwefloodresponse","latitude","numeric","GPS latitude of the water point" +"mwefloodresponse","mwefloodresponse","longitude","numeric","GPS longitude of the water point" +"mwefloodresponse","mwefloodresponse","depth","numeric","Measured depth of the water source" +"mwefloodresponse","mwefloodresponse","currently_submerged","character","Indicator of whether the water point is submerged at the time of survey" +"mwefloodresponse","mwefloodresponse","likely_submerged","character","Assessment of whether the water point was submerged during the recent flooding" +"mwefloodresponse","mwefloodresponse","functional_status","character","Operational status of the water point" +"mwefloodresponse","mwefloodresponse","water_pump_possible","character","Ability to pump water at the time of the visit" +"mwefloodresponse","mwefloodresponse","problems_reported","character","Observed or reported problems at the water point" +"mwefloodresponse","mwefloodresponse","water_quality_problems","character","Issues affecting water quality" +"mwefloodresponse","mwefloodresponse","civil_works_problems","character","Problems affecting the water point infrastructure" +"mwefloodresponse","mwefloodresponse","photo_civil_works","character","link of photo showing civil works problems" +"mwefloodresponse","mwefloodresponse","pump_problems","character","Problems observed with the water pump" +"mwefloodresponse","mwefloodresponse","photo_pump_problems","character","link of photo showing pump problems" +"mwefloodresponse","mwefloodresponse","pump_operational_feel","character","Subjective assessment of the pump operation" +"mwefloodresponse","mwefloodresponse","time_to_pump_20l","numeric","Time taken to pump 20 liters of water" +"mwefloodresponse","mwefloodresponse","strokes_to_yield","numeric","Number of strokes required to yield water" +"mwefloodresponse","mwefloodresponse","sediment_presence","character","Presence or absence of sediment in the water" +"mwefloodresponse","mwefloodresponse","water_quality_tests","character","Field tests performed on water quality" +"mwefloodresponse","mwefloodresponse","electrical_conductivity","numeric","Measured electrical conductivity of the water" +"mwefloodresponse","mwefloodresponse","conductivity_units","character","Units used for electrical conductivity measurement" +"mwefloodresponse","mwefloodresponse","total_dissolved_solids","numeric","Measured total dissolved solids in water" +"mwefloodresponse","mwefloodresponse","ph","numeric","Measured pH of the water" +"mwefloodresponse","mwefloodresponse","temperature_c","numeric","Water temperature in Celsius" +"mwefloodresponse","mwefloodresponse","turbidity_tube","numeric","Turbidity measured using a tube method" +"mwefloodresponse","mwefloodresponse","turbidity_tube_units","character","Units used for turbidity tube measurement" +"mwefloodresponse","mwefloodresponse","turbidity_electronic_ntu","numeric","Turbidity measured using an electronic turbidimeter" +"mwefloodresponse","mwefloodresponse","comments","character","Additional observations recorded by the surveyor" +"mwefloodresponse","mwefloodresponse","microbiological_test","character","Type of microbiological test performed" +"mwefloodresponse","mwefloodresponse","test_method","character","Method used to perform the microbiological test" +"mwefloodresponse","mwefloodresponse","sample_type","character","Type of water sample collected" +"mwefloodresponse","mwefloodresponse","sample_date","character","Date the water sample was collected" +"mwefloodresponse","mwefloodresponse","color_change_mpn","numeric","MPN count from color-change test indicating bacterial contamination" +"mwefloodresponse","mwefloodresponse","color_change_upper95","numeric","Upper 95 percent confidence interval for MPN count" +"mwefloodresponse","mwefloodresponse","color_change_health","character","Health risk classification based on color-change results" +"mwefloodresponse","mwefloodresponse","color_change_image","character","link of photo showing compartments that changed color" +"mwgroundwaterdata","mwgroundwaterdata","date","character","Date when data was captured" +"mwgroundwaterdata","mwgroundwaterdata","waterpoint_name","character","The name of the water point" +"mwgroundwaterdata","mwgroundwaterdata","district","character","Administrative district the water point is located" +"mwgroundwaterdata","mwgroundwaterdata","latitude","numeric","GPS latitude coordinate" +"mwgroundwaterdata","mwgroundwaterdata","longitude","numeric","GPS longitude coordinate" +"mwgroundwaterdata","mwgroundwaterdata","source","character","The device that captured the information" +"mwgroundwaterdata","mwgroundwaterdata","water_level","numeric","Water level of the water" +"mwgroundwaterdata","mwgroundwaterdata","temperature","numeric","Temperature of the data" +"mwgroundwaterdata","mwgroundwaterdata","conductivity","numeric","Electical conductivity of the water" +"nchalohhwatersurvey","nchalohhwatersurvey","submitted_on","character","Date and time the survey was submitted" +"nchalohhwatersurvey","nchalohhwatersurvey","community_name","character","Name of the community surveyed" +"nchalohhwatersurvey","nchalohhwatersurvey","latitude","numeric","Latitude coordinate of the survey location" +"nchalohhwatersurvey","nchalohhwatersurvey","longitude","numeric","Longitude coordinate of the survey location" +"nchalohhwatersurvey","nchalohhwatersurvey","community_population","numeric","Estimated total number of people in the community" +"nchalohhwatersurvey","nchalohhwatersurvey","main_livelihood_source","character","Primary source of livelihood for the household" +"nchalohhwatersurvey","nchalohhwatersurvey","main_livelihood_source_comments","character","Additional comments on the households main livelihood" +"nchalohhwatersurvey","nchalohhwatersurvey","income_in_2020_mwk","character","Estimated household income in 2020 from the main livelihood source (in MWK)" +"nchalohhwatersurvey","nchalohhwatersurvey","income_comments","character","Additional comments about the reported income" +"nchalohhwatersurvey","nchalohhwatersurvey","income_spending_priority","character","Main priorities for spending the household income" +"nchalohhwatersurvey","nchalohhwatersurvey","main_drinking_water_source","character","Primary source of drinking water for the community" +"nchalohhwatersurvey","nchalohhwatersurvey","main_drinking_water_source_other","character","Specification if Other water source was selected" +"nchalohhwatersurvey","nchalohhwatersurvey","uses_borehole_for_other_purposes","character","Whether the borehole is used for purposes other than drinking" +"nchalohhwatersurvey","nchalohhwatersurvey","other_borehole_use_comments","character","Comments on other uses of borehole water" +"nchalohhwatersurvey","nchalohhwatersurvey","reasons_not_pursuing_multiple_uses","character","Reasons for not using borehole water for multiple purposes" +"nchalohhwatersurvey","nchalohhwatersurvey","reasons_not_pursuing_multiple_uses_other","character","Specification if an Other reason was selected" +"nchalohhwatersurvey","nchalohhwatersurvey","value_addition_opportunity","character","Whether value addition opportunities exist for a new water project" +"nchalohhwatersurvey","nchalohhwatersurvey","value_addition_opportunity_details","character","Details about the identified value addition opportunities" +"nchalohhwatersurvey","nchalohhwatersurvey","value_addition_opportunity_other","character","Specification if an Other opportunity was mentioned" +"nchalohhwatersurvey","nchalohhwatersurvey","land_allocation_responsible_person","character","Person or group responsible for land allocation for new projects" +"nchalohhwatersurvey","nchalohhwatersurvey","leadership_allocation_decider","character","Entity that decides leadership roles in community projects" +"nchalohhwatersurvey","nchalohhwatersurvey","leadership_allocation_other","character","Specification if an Other decision maker was indicated" +"nchalohhwatersurvey","nchalohhwatersurvey","gender_guidelines_for_leadership","character","Existence of gender guidelines in community leadership" +"nchalohhwatersurvey","nchalohhwatersurvey","gender_guidelines_comments","character","Comments on the gender guidelines" +"nchalohhwatersurvey","nchalohhwatersurvey","pay_for_water","character","Whether the community pays for water usage" +"nchalohhwatersurvey","nchalohhwatersurvey","water_payment_amount","numeric","Amount paid for water usage (in MWK)" +"nchalohhwatersurvey","nchalohhwatersurvey","water_payment_frequency","character","Frequency of water payment" +"nchalohhwatersurvey","nchalohhwatersurvey","water_payment_frequency_other","character","Specification if an Other frequency was selected" +"nchalohhwatersurvey","nchalohhwatersurvey","reason_for_not_paying","character","Main reason for not paying for water" +"nchalohhwatersurvey","nchalohhwatersurvey","reason_for_not_paying_other","character","Specification if an Other reason was given" +"nchalohhwatersurvey","nchalohhwatersurvey","nearest_school_type","character","Type of school closest to the community" +"nchalohhwatersurvey","nchalohhwatersurvey","govt_school_accessibility","character","Whether government schools are accessible to all" +"nchalohhwatersurvey","nchalohhwatersurvey","nearest_health_facility_type","character","Type of health facility closest to the community" +"nchalohhwatersurvey","nchalohhwatersurvey","health_facility_accessibility","character","Whether the health facility is affordable and accessible to all" +"nchalohhwatersurvey","nchalohhwatersurvey","health_facility_accessibility_other","character","Specification if an Other accessibility concern was mentioned" +"nchalohhwatersurvey","nchalohhwatersurvey","community_solved_social_problem","character","Whether the community has independently addressed social problems" +"nchalohhwatersurvey","nchalohhwatersurvey","community_solved_social_problem_comments","character","Comments on how social problems were addressed by the community" +"nchalohhwatersurvey","nchalohhwatersurvey","flow_rate_test_possible_today","character","Whether it was possible to conduct a flow rate test during the visit" +"nchalohhwatersurvey","nchalohhwatersurvey","has_temp_ec_tds_meter","character","Whether the team had a temperature and EC or TDS meter available" "planetaryhdi","planetaryhdi","hdi_rank","numeric","Rank by HDI" "planetaryhdi","planetaryhdi","country","character","Name of the country" -"planetaryhdi","planetaryhdi","hdi","numeric","Human Development Index (HDI): A composite index measuring average achievement in three basic dimensions of human developmentÑa long and healthy life, knowledge and a decent standard of living. See Technical note 1 at http://hdr.undp.org/sites/default/files/hdr2023_technical_notes.pdf for details on how the HDI is calculated." -"planetaryhdi","planetaryhdi","phdi","numeric","Planetary pressures-adjusted HDI (PHDI): HDI value adjusted by the level of carbon dioxide emissions and material footprint per capita to account for the excessive human pressure on the planet. It should be seen as an incentive for transformation. See Technical note 6 at http://hdr.undp.org/sites/default/files/hdr2023_technical_notes.pdf for details on how the PHDI is calculated." -"planetaryhdi","planetaryhdi","pct_diff_hdi","numeric","Percentage Difference in HDI and Planetary HDI (caluclated as: [HDI - PHDI] / HDI)" +"planetaryhdi","planetaryhdi","hdi","numeric","Human Development Index (HDI): A composite index measuring average achievement in three basic dimensions of human development (a long and healthy life, knowledge and a decent standard of living). See Technical note 1 at https://hdr.undp.org/sites/default/files/2023-24_HDR/hdr2023-24_technical_notes.pdf for details on how the HDI is calculated." +"planetaryhdi","planetaryhdi","phdi","numeric","Planetary pressures-adjusted HDI (PHDI): HDI value adjusted by the level of carbon dioxide emissions and material footprint per capita to account for the excessive human pressure on the planet. It should be seen as an incentive for transformation. See Technical note 6 at https://hdr.undp.org/sites/default/files/2023-24_HDR/hdr2023-24_technical_notes.pdf for details on how the PHDI is calculated." +"planetaryhdi","planetaryhdi","pct_diff_hdi","numeric","Percentage Difference in HDI and Planetary HDI (calculated as: [HDI - PHDI] / HDI)" "planetaryhdi","planetaryhdi","rank_diff_hdi","numeric","Difference in rank between PHDI and HDI. Expressed as Rank(phdi) - Rank(hdi)" "planetaryhdi","planetaryhdi","adj_factor","numeric","Adjustment factor for planetary pressures: Arithmetic average of the carbon dioxide emissions index and the material footprint index, both defined below. A high value implies less pressure on the planet." "planetaryhdi","planetaryhdi","tco2_per_capita_prod","numeric","Carbon dioxide emissions per capita (production): carbon dioxide emissions produced as a consequence of human activities (use of coal, oil and gas for combustion and industrial processes, gas flaring and cement manufacture), divided by midyear population. Values are territorial emissions, meaning that emissions are attributed to the country in which they physically occur." "planetaryhdi","planetaryhdi","co2_emissions_index","numeric","Carbon dioxide emissions (production) index: Carbon dioxide emissions per capita (production-based) expressed as an index using a minimum value of 0 and a maximum value of 76.61 tonnes per capita. A high value of this index implies less pressure to the planet." "planetaryhdi","planetaryhdi","material_footprint_per_capita","numeric","Material footprint per capita: Material Footprint (MF) is the attribution of global material extraction to domestic final demand of a country. The total material footprint is the sum of the material footprint for biomass, fossil fuels, metal ores and non-metal ores. This indicator is calculated as raw material equivalent of imports (RMEIM) plus domestic extraction (DE) minus raw material equivalents of exports (RMEEX). Per-capita MF describes the average material use for final demand." "planetaryhdi","planetaryhdi","material_footprint_index","numeric","Material footprint index: Material footprint per capita expressed as an index using a minimum value of 0 and a maximum value of 140.82 tonnes per capita. A high value of this index implies less pressure to the planet." -"planetaryhdi","planetaryhdi","iso3c","character","ISO 3166-1 alpha-3 country code}" -"ploswater","ploswater","id","character","Unique Identifier" -"ploswater","ploswater","doi","character","DOI of the study" -"ploswater","ploswater","title","character","Title of the study" -"ploswater","ploswater","display_name","character","Displayed Name in OpenAlex" -"ploswater","ploswater","publication_year","numeric","Year of publication" -"ploswater","ploswater","publication_date","Date","Date of publication" -"ploswater","ploswater","language","character","Original publication language" -"ploswater","ploswater","type","character","Indicates the type of scholarly work" -"ploswater","ploswater","type_crossref","character","The work type as specified by Crossref" -"ploswater","ploswater","indexed_in","character", -"ploswater","ploswater","authorships","character","Contains detailed information about authors and their institutional affiliations" -"ploswater","ploswater","institution_assertions","character","Information about institutional affiliations" -"ploswater","ploswater","countries_distinct_count","numeric","Total number of unique country codes among the work's authorships" -"ploswater","ploswater","institutions_distinct_count","numeric","Total number of unique institutions among the work's authorships" -"ploswater","ploswater","corresponding_author_ids","character","List of OpenAlex IDs for corresponding authors" -"ploswater","ploswater","corresponding_institution_ids","character","List of OpenAlex IDs for institutions of corresponding authors" -"ploswater","ploswater","fwci","numeric","Field-weighted Citation Impact, calculated as the ratio of citations received to citations expected in the publication year and three following years" -"ploswater","ploswater","has_fulltext","logical","Boolean indicating if the full text is searchable in OpenAlex" -"ploswater","ploswater","fulltext_origin","character","Indicates how the full text was obtained (e.g., ""pdf"" or ""ngrams"") when has_fulltext is true" -"ploswater","ploswater","cited_by_count","numeric","Number of times the work has been cited" -"ploswater","ploswater","is_retracted","logical","Wether study was retracted or not" -"ploswater","ploswater","is_paratext","logical", -"ploswater","ploswater","topics","character", -"ploswater","ploswater","keywords","character","Keywords in the text" -"ploswater","ploswater","concepts","character","Key concepts in the text" -"ploswater","ploswater","mesh","character", -"ploswater","ploswater","locations_count","numeric","Number of different places where the work can be found" -"ploswater","ploswater","locations","character","List of all places where the work exists, including journals, proceedings, repositories (like arXiv), and institutional repositories" -"ploswater","ploswater","sustainable_development_goals","character","Classifications linking the work to UN Sustainable Development Goals (SDGs)" -"ploswater","ploswater","grants","character","Information about research funding and grants associated with the work" -"ploswater","ploswater","datasets","character","Associated research datasets" -"ploswater","ploswater","versions","character","Different versions of the work available across locations (e.g., peer-reviewed published version, preprint version)" -"ploswater","ploswater","referenced_works_count","numeric","Number of works this work cites" -"ploswater","ploswater","referenced_works","character","List of works cited by this work" -"ploswater","ploswater","related_works","character","Works that are related to this one" -"ploswater","ploswater","cited_by_api_url","character","URL to access the list of works citing this work" -"ploswater","ploswater","counts_by_year","character","Year-by-year breakdown of citation counts, excluding citations older than ten years" -"ploswater","ploswater","updated_date","POSIXct","ISO 8601 date string showing when the record was last modified" -"ploswater","ploswater","created_date","Date","ISO 8601 date string indicating when the work was first added to OpenAlex" -"ploswater","ploswater","ids.openalex","character","The primary identifier in OpenAlex" -"ploswater","ploswater","ids.doi","character","The Digital Object Identifier, serving as the Canonical External ID" -"ploswater","ploswater","primary_location.is_oa","logical", -"ploswater","ploswater","primary_location.landing_page_url","character", -"ploswater","ploswater","primary_location.pdf_url","character", -"ploswater","ploswater","primary_location.license","character", -"ploswater","ploswater","primary_location.license_id","character", -"ploswater","ploswater","primary_location.version","character", -"ploswater","ploswater","primary_location.is_accepted","logical", -"ploswater","ploswater","primary_location.is_published","logical", -"ploswater","ploswater","primary_location.source.id","character", -"ploswater","ploswater","primary_location.source.display_name","character", -"ploswater","ploswater","primary_location.source.issn_l","character", -"ploswater","ploswater","primary_location.source.issn","character", -"ploswater","ploswater","primary_location.source.is_oa","logical", -"ploswater","ploswater","primary_location.source.is_in_doaj","logical", -"ploswater","ploswater","primary_location.source.is_core","logical", -"ploswater","ploswater","primary_location.source.host_organization","character", -"ploswater","ploswater","primary_location.source.host_organization_name","character", -"ploswater","ploswater","primary_location.source.host_organization_lineage","character", -"ploswater","ploswater","primary_location.source.host_organization_lineage_names","character", -"ploswater","ploswater","primary_location.source.type","character", -"ploswater","ploswater","open_access.is_oa","logical", -"ploswater","ploswater","open_access.oa_status","character", -"ploswater","ploswater","open_access.oa_url","character", -"ploswater","ploswater","open_access.any_repository_has_fulltext","logical", -"ploswater","ploswater","apc_list.value","numeric", -"ploswater","ploswater","apc_list.currency","character", -"ploswater","ploswater","apc_list.value_usd","numeric", -"ploswater","ploswater","apc_list.provenance","character", -"ploswater","ploswater","apc_paid.value","numeric", -"ploswater","ploswater","apc_paid.currency","character", -"ploswater","ploswater","apc_paid.value_usd","numeric", -"ploswater","ploswater","apc_paid.provenance","character", -"ploswater","ploswater","citation_normalized_percentile.value","numeric", -"ploswater","ploswater","citation_normalized_percentile.is_in_top_1_percent","logical", -"ploswater","ploswater","citation_normalized_percentile.is_in_top_10_percent","logical", -"ploswater","ploswater","cited_by_percentile_year.min","numeric", -"ploswater","ploswater","cited_by_percentile_year.max","numeric", -"ploswater","ploswater","biblio.volume","numeric", -"ploswater","ploswater","biblio.issue","numeric", -"ploswater","ploswater","biblio.first_page","character", -"ploswater","ploswater","biblio.last_page","character", -"ploswater","ploswater","primary_topic.id","character", -"ploswater","ploswater","primary_topic.display_name","character", -"ploswater","ploswater","primary_topic.score","numeric", -"ploswater","ploswater","primary_topic.subfield.id","character", -"ploswater","ploswater","primary_topic.subfield.display_name","character", -"ploswater","ploswater","primary_topic.field.id","character", -"ploswater","ploswater","primary_topic.field.display_name","character", -"ploswater","ploswater","primary_topic.domain.id","character", -"ploswater","ploswater","primary_topic.domain.display_name","character", -"ploswater","ploswater","best_oa_location.is_oa","logical", -"ploswater","ploswater","best_oa_location.landing_page_url","character", -"ploswater","ploswater","best_oa_location.pdf_url","character", -"ploswater","ploswater","best_oa_location.license","character", -"ploswater","ploswater","best_oa_location.license_id","character", -"ploswater","ploswater","best_oa_location.version","character", -"ploswater","ploswater","best_oa_location.is_accepted","logical", -"ploswater","ploswater","best_oa_location.is_published","logical", -"ploswater","ploswater","best_oa_location.source.id","character", -"ploswater","ploswater","best_oa_location.source.display_name","character", -"ploswater","ploswater","best_oa_location.source.issn_l","character", -"ploswater","ploswater","best_oa_location.source.issn","character", -"ploswater","ploswater","best_oa_location.source.is_oa","logical", -"ploswater","ploswater","best_oa_location.source.is_in_doaj","logical", -"ploswater","ploswater","best_oa_location.source.is_core","logical", -"ploswater","ploswater","best_oa_location.source.host_organization","character", -"ploswater","ploswater","best_oa_location.source.host_organization_name","character", -"ploswater","ploswater","best_oa_location.source.host_organization_lineage","character", -"ploswater","ploswater","best_oa_location.source.host_organization_lineage_names","character", -"ploswater","ploswater","best_oa_location.source.type","character", -"ploswater","ploswater","abstract_inverted_index.water","character", -"ploswater","ploswater","abstract_inverted_index.and","character", -"ploswater","ploswater","abstract_inverted_index.sanitation","character", -"ploswater","ploswater","abstract_inverted_index.programs","numeric", -"ploswater","ploswater","abstract_inverted_index.have","character", -"ploswater","ploswater","abstract_inverted_index.focused","character", -"ploswater","ploswater","abstract_inverted_index.on","character", -"ploswater","ploswater","abstract_inverted_index.value","character", -"ploswater","ploswater","abstract_inverted_index.in","character", -"ploswater","ploswater","abstract_inverted_index.improving","numeric", -"ploswater","ploswater","abstract_inverted_index.conditions","character", -"ploswater","ploswater","abstract_inverted_index.evidence","character", -"ploswater","ploswater","abstract_inverted_index.This","character", -"ploswater","ploswater","abstract_inverted_index.review","character", -"ploswater","ploswater","abstract_inverted_index.identified","character", -"ploswater","ploswater","abstract_inverted_index.empirical","character", -"ploswater","ploswater","abstract_inverted_index.research","character", -"ploswater","ploswater","abstract_inverted_index.that","character", -"ploswater","ploswater","abstract_inverted_index.and/or","character", -"ploswater","ploswater","abstract_inverted_index.reported","character", -"ploswater","ploswater","abstract_inverted_index.used,","numeric", 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-"ploswater","ploswater","abstract_inverted_index.hundreds","numeric", -"ploswater","ploswater","abstract_inverted_index.short","character", -"ploswater","ploswater","abstract_inverted_index.coming","numeric", -"ploswater","ploswater","abstract_inverted_index.always","numeric", -"ploswater","ploswater","abstract_inverted_index.demand,","numeric", -"ploswater","ploswater","abstract_inverted_index.cholera","character", -"ploswater","ploswater","abstract_inverted_index.Sanitation","character", -"ploswater","ploswater","abstract_inverted_index.successful","numeric", -"ploswater","ploswater","abstract_inverted_index.users,","numeric", -"ploswater","ploswater","abstract_inverted_index.Four","numeric", -"ploswater","ploswater","abstract_inverted_index.stakeholder","numeric", -"ploswater","ploswater","abstract_inverted_index.engage","character", -"ploswater","ploswater","abstract_inverted_index.future.","numeric", +"planetaryhdi","planetaryhdi","iso3c","character","ISO 3166-1 alpha-3 country code" +"portawaterperu","portawaterperu","name","character","Name of the community water system" +"portawaterperu","portawaterperu","ID","numeric","ID of the water system" +"portawaterperu","portawaterperu","div","character","Geographical division of the community" +"portawaterperu","portawaterperu","lat","numeric","Latitude of the community" +"portawaterperu","portawaterperu","long","numeric","Longitude of the community" +"portawaterperu","portawaterperu","alt","numeric","Altitude of the community" +"portawaterperu","portawaterperu","year","numeric","Year of data collection about communities. (Use in caution)" +"portawaterperu","portawaterperu","community","character","Community name" +"portawaterperu","portawaterperu","service_provider","character","Service provider (PSE stands for Prestador de servicio)" +"portawaterperu","portawaterperu","pop_serviced","numeric","Population served" +"portawaterperu","portawaterperu","hh_serviced","numeric","Household served" +"portawaterperu","portawaterperu","type_gravity","logical","Is the community served by a gravity water supply system?" +"portawaterperu","portawaterperu","type_pump","logical","Is the community served by a pumped water supply system?" +"portawaterperu","portawaterperu","type_well","logical","Is the community served by a well/hand pump water supply system?" +"portawaterperu","portawaterperu","type_rain","logical","Is the community served by a rainwater harvesting water supply system?" +"portawaterperu","portawaterperu","water_dry_season","logical","Are there adequate water resources (at the source) to meet demand in dry season?" +"portawaterperu","portawaterperu","water_rain_season","logical","Are there adequate water resources (at the source) to meet demand in rainy season?" +"portawaterperu","portawaterperu","source_id","numeric","ID of the water source" +"portawaterperu","portawaterperu","source_type","factor","Type of the water source, options including (1) lake, (2) river, (3) dug well, and (4) drilled well." +"portawaterperu","portawaterperu","source_lat","numeric","Latitude of the water source" +"portawaterperu","portawaterperu","source_long","numeric","Longitude of the water source" +"portawaterperu","portawaterperu","source_alt","numeric","Altitude of the water source" +"portawaterperu","portawaterperu","catch_macromeasure","character","Macro measurement of catchment" +"portawaterperu","portawaterperu","catch_status","factor","Status of the catchment, options including (1) A: good, (2) B: fair, (3) C: poor, and (4) D: Inoperable." +"portawaterperu","portawaterperu","maintenance_date","POSIXct","Date of the maintainance data collection" +"portawaterperu","portawaterperu","catch_abcd","factor","Status of catchment at maintainance, options including (1) A: good, (2) B: fair, (3) C: poor, and (4) D: Inoperable." +"portawaterperu","portawaterperu","cond_abcd","factor","Status of condition at maintainance, options including (1) A: good, (2) B: fair, (3) C: poor, and (4) D: Inoperable." +"portawaterperu","portawaterperu","treat_type","factor","Type of treatment, options including (1) desinfection with chlorine and (2) slow filtration." +"portawaterperu","portawaterperu","treat_abcd","factor","Status of treatment at maintainance, options including (1) A: good, (2) B: fair, (3) C: poor, and (4) D: Inoperable." +"portawaterperu","portawaterperu","storage_abcd","factor","Status of the storage system at maintainance, options including (1) A: good, (2) B: fair, (3) C: poor, and (4) D: Inoperable." +"portawaterperu","portawaterperu","dist_abcd","factor","Status of the distribution network at maintainance, options including (1) A: good, (2) B: fair, (3) C: poor, and (4) D: Inoperable." +"portawaterperu","portawaterperu","flow","numeric","Flow rate, check unit with column" +"portawaterperu","portawaterperu","flow_unit","character","Unit of flow rate" +"portawaterperu","portawaterperu","chlorine_res","numeric","Chlorine residual" +"portawaterperu","portawaterperu","chlorine_res_unit","character","Unit of chlorine residual" +"portawaterperu","portawaterperu","treatment_ID","numeric","ID of the treatment" +"portawaterperu","portawaterperu","treatment_type","factor","Type of the treatment" +"portawaterperu","portawaterperu","treatment_function","logical","Is treatment functional?" +"portawaterperu","portawaterperu","treatment_lat","numeric","Latitude of the water treatment" +"portawaterperu","portawaterperu","treatment_long","numeric","Longitude of the water treatment" +"portawaterperu","portawaterperu","treatment_alt","numeric","Altitude of the water treatment" +"portawaterperu","portawaterperu","storage_ID","numeric","ID of the water storage infrastructure." +"portawaterperu","portawaterperu","storage_clean_unit","character","Unit of cleaning frequency of the storage system" +"portawaterperu","portawaterperu","storage_lat","numeric","Latitude of the water storage infrastructure." +"portawaterperu","portawaterperu","storage_long","numeric","Longitude of the water storage infrastructure." +"portawaterperu","portawaterperu","storage_alt","numeric","Altitude of the water storage infrastructure." +"portawaterperu","portawaterperu","storage_status","factor","Status of the water storage infrastructure, options including (1) A: good, (2) B: fair, (3) C: poor, and (4) D: Inoperable." +"portawaterperu","portawaterperu","dist_ID","numeric","ID of the distribution system" +"portawaterperu","portawaterperu","dist_hour","numeric","Hours of service per day" +"portawaterperu","portawaterperu","dist_connection","numeric","Number of distribution network connections" +"portawaterperu","portawaterperu","dist_status","character","Status of the distribution system, options including (1) A: good, (2) B: fair, (3) C: poor, and (4) D: Inoperable." "postfloodintervention","postfloodintervention","submitted_on","character","Date when the survey was submitted" "postfloodintervention","postfloodintervention","water_point_name","character","Name of the water point" "postfloodintervention","postfloodintervention","latitude","numeric","Geographic latitude coordinate of the water point" @@ -2295,6 +1732,25 @@ "postfloodintervention","postfloodintervention","ecoli_upper_95ci_per_100ml","numeric","Upper limit of the 95 percent confidence interval for E. coli MPN per 100 ml" "postfloodintervention","postfloodintervention","ecoli_health_risk_category","character","Health risk classification based on E. coli levels (e.g., low, medium, high)" "postfloodintervention","postfloodintervention","ecoli_image","character","File name or URL of image showing E. coli test result or sample compartment color change" +"rainwaterhsurvey","rainwaterhsurvey","district","character","Name of district where the household is located" +"rainwaterhsurvey","rainwaterhsurvey","community","character","Name of the local community or village of the respondent" +"rainwaterhsurvey","rainwaterhsurvey","primary_water_source","character","Main source of water used by the household for drinking and domestic purposes" +"rainwaterhsurvey","rainwaterhsurvey","water_scarcity","character","Whether the household experiences water scarcity" +"rainwaterhsurvey","rainwaterhsurvey","scarcity_months","character","Months of the year when the household experiences water scarcity" +"rainwaterhsurvey","rainwaterhsurvey","perceived_water_source","character","Respondents perception of where their household water originates from" +"rainwaterhsurvey","rainwaterhsurvey","belief_underground_rivers","logical","Whether the respondent believes that underground rivers supply boreholes and wells" +"rainwaterhsurvey","rainwaterhsurvey","belief_groundwater_exhausted","logical","Whether the respondent believes that drying of boreholes indicates complete depletion of groundwater" +"rainwaterhsurvey","rainwaterhsurvey","belief_groundwater_replenished","logical","Whether the respondent believes that groundwater can be replenished or naturally refilled" +"rainwaterhsurvey","rainwaterhsurvey","belief_recharge_detectable","character","Respondents view on whether it is possible to detect or know if groundwater is being replenished" +"rainwaterhsurvey","rainwaterhsurvey","rwh_practice","character","Whether the household practices rainwater harvesting" +"rainwaterhsurvey","rainwaterhsurvey","rwh_barrier","character","Main reason why the household does not practice rainwater harvesting" +"rainwaterhsurvey","rainwaterhsurvey","rwh_use","character","Primary uses of harvested rainwater within the household" +"rainwaterhsurvey","rainwaterhsurvey","belief_rwh_recharge","character","Respondents belief that rainwater harvesting contributes to groundwater recharge" +"rainwaterhsurvey","rainwaterhsurvey","belief_rwh_expensive","character","Respondents belief that rainwater harvesting requires expensive technology or is unaffordable" +"rainwaterhsurvey","rainwaterhsurvey","belief_rwh_unreliable","character","Respondents belief that rainwater harvesting is ineffective due to rainfall variability or unreliability" +"rainwaterhsurvey","rainwaterhsurvey","recharge_solutions","character","Respondents suggestions on methods or practices that can help replenish groundwater" +"rainwaterhsurvey","rainwaterhsurvey","rwh_support_needed","character","Types of support, information, or interventions that would encourage adoption of rainwater harvesting or groundwater recharge practices" +"rwpfunctionality","rwpfunctionality","id","double","Row number assigned during processing" "rwpfunctionality","rwpfunctionality","country","character","Name of the country" "rwpfunctionality","rwpfunctionality","admin1","character","Administrative unit 1" "rwpfunctionality","rwpfunctionality","admin2","character","Administrative unit 2" @@ -2407,7 +1863,105 @@ "solidwastekampala","solidwastekampala","waste_per_day_kg","numeric","Mean daily mass of waste generated by the household, in kilograms per day (waste_total_kg divided by 7)." "solidwastekampala","solidwastekampala","waste_per_capita_kg","numeric","Mean daily mass of waste generated per household member, in kilograms per person per day (waste_per_day_kg divided by occupants)." "solidwastekampala","solidwastekampala","volume_l","numeric","Volume of the waste generated by the household over the 7-day collection period, in litres." -"solidwastekampala","solidwastekampala","density_kg_l","numeric","Bulk density of the generated waste, in kilograms per litre; multiply by 1000 for kg/m3 as reported in the manuscript." +"solidwastekampala","solidwastekampala","density_kg_l","numeric","Bulk density of the generated waste, in kilograms per litre; multiply by 1000 for kg/m3 as reported in the paper." +"thyolocbcc","thyolocbcc","submitted_on","character","Date when the data was collected and submitted." +"thyolocbcc","thyolocbcc","district","character","Name of the district where the CBCC is located." +"thyolocbcc","thyolocbcc","enrollment_male_total","numeric","Total number of enrolled male children." +"thyolocbcc","thyolocbcc","enrollment_female_total","numeric","Total number of enrolled female children." +"thyolocbcc","thyolocbcc","enrollment_male_disability","numeric","Number of enrolled male children with disabilities." +"thyolocbcc","thyolocbcc","enrollment_female_disability","numeric","Number of enrolled female children with disabilities." +"thyolocbcc","thyolocbcc","latitude","numeric","GPS coordinate - latitude of the CBCC." +"thyolocbcc","thyolocbcc","longitude","numeric","GPS coordinate - longitude of the CBCC." +"thyolocbcc","thyolocbcc","photo_cbcc","character","Photo file or URL showing the CBCC." +"thyolocbcc","thyolocbcc","cbcc_has_water","character","Indicates whether the CBCC currently has access to water." +"thyolocbcc","thyolocbcc","main_water_source","character","The primary source of water for the CBCC (e.g., borehole, piped water)." +"thyolocbcc","thyolocbcc","water_source_available_now","character","Whether the main water source is currently providing water." +"thyolocbcc","thyolocbcc","water_source_functional_status","character","Functional status of the main water source." +"thyolocbcc","thyolocbcc","breakdown_cause","character","Reported cause of breakdown in the water source." +"thyolocbcc","thyolocbcc","breakdown_past_12_months","character","Whether the water source has broken down in the last 12 months." +"thyolocbcc","thyolocbcc","breakdown_fixed_date","character","Date when the water source was last repaired." +"thyolocbcc","thyolocbcc","distance_water_market_magnitude","numeric","Distance from CBCC to the main water source (numeric part)." +"thyolocbcc","thyolocbcc","distance_water_market_unit","character","Unit of distance from CBCC to the main water source (e.g., meters)." +"thyolocbcc","thyolocbcc","water_available_year_round","character","Whether the CBCC has access to water all year round." +"thyolocbcc","thyolocbcc","alternative_water_source","character","Alternative source of water for the CBCC." +"thyolocbcc","thyolocbcc","water_supply_satisfaction","character","Whether the CBCC is satisfied with its current water supply." +"thyolocbcc","thyolocbcc","why_not_satisfied_water","character","Reasons for dissatisfaction with the water source." +"thyolocbcc","thyolocbcc","complaint_about_water","character","Whether any complaints have been made about water supply." +"thyolocbcc","thyolocbcc","alt_water_available_now","character","Whether the alternative water source is currently functional." +"thyolocbcc","thyolocbcc","distance_alt_water_magnitude","numeric","Distance to the alternative water source (numeric part)." +"thyolocbcc","thyolocbcc","distance_alt_water_unit","character","Unit of distance to the alternative water source (e.g., meters)." +"thyolocbcc","thyolocbcc","main_water_50m_from_contaminants","character","Whether the main water source is at least 50m from contaminants." +"thyolocbcc","thyolocbcc","water_treatment_method","character","Method used to treat water (e.g., boiling, chlorine)." +"thyolocbcc","thyolocbcc","water_treatment_method_other","character","Other water treatment methods if not listed." +"thyolocbcc","thyolocbcc","treatment_meets_who_standards","character","Whether water treatment meets WHO safety standards." +"thyolocbcc","thyolocbcc","last_microbacteria_test_date","character","Date of last microbial test of the water." +"thyolocbcc","thyolocbcc","microbacteria_test_result_fcu","character","Results of microbial test (e.g., fecal coliform units)." +"thyolocbcc","thyolocbcc","water_quality_meets_who","character","Whether water quality meets WHO guidelines." +"thyolocbcc","thyolocbcc","water_mgmt_committee_available","character","Presence of a committee responsible for water management." +"thyolocbcc","thyolocbcc","committee_trained_on_maintenance","character","Whether the committee has received training on maintaining the water source." +"thyolocbcc","thyolocbcc","committee_functional","character","Whether the water management committee is currently active and functioning." +"thyolocbcc","thyolocbcc","committee_functional_comments","character","Additional comments on committee performance." +"thyolocbcc","thyolocbcc","operation_funds_available","character","Indicates if there are funds for operating/maintaining water infrastructure." +"thyolocbcc","thyolocbcc","funds_amount_account","character","The amount of funds currently available in the CBCCs account." +"thyolocbcc","thyolocbcc","funds_source","character","Main source of funds for water-related operations." +"thyolocbcc","thyolocbcc","other_source_of_funds","character","Alternative sources of funds if applicable." +"thyolocbcc","thyolocbcc","financial_records_kept","character","Whether financial records are maintained and up to date." +"thyolocbcc","thyolocbcc","has_wash_plan_budget","character","Whether the CBCC has a dedicated WASH plan or budget." +"thyolocbcc","thyolocbcc","additional_comments_1","character","Free-text field for any other observations." +"thyolocbcc","thyolocbcc","usable_toilets_for_kids","character","Availability of usable toilets for children." +"thyolocbcc","thyolocbcc","girls_toilet_total","numeric","Total number of toilets designated for girls." +"thyolocbcc","thyolocbcc","boys_toilet_total","numeric","Total number of toilets designated for boys." +"thyolocbcc","thyolocbcc","usable_toilets_for_staff","character","Whether there are usable toilets for staff." +"thyolocbcc","thyolocbcc","male_staff_toilet_total","numeric","Number of toilets designated for male staff." +"thyolocbcc","thyolocbcc","female_staff_toilet_total","numeric","Number of toilets designated for female staff." +"thyolocbcc","thyolocbcc","toilet_for_physically_challenged","character","Whether the facility has accessible toilets for people with disabilities." +"thyolocbcc","thyolocbcc","toilet_for_adolescent_girls","character","Availability of gender-appropriate toilets for adolescent girls." +"thyolocbcc","thyolocbcc","toilets_visibly_clean","character","Whether toilets are visibly clean." +"thyolocbcc","thyolocbcc","toilet_cleaning_frequency","character","Frequency of toilet cleaning." +"thyolocbcc","thyolocbcc","toilet_cleaning_frequency_other","character","Additional description of cleaning frequency if not listed." +"thyolocbcc","thyolocbcc","handwashing_at_toilets","character","Availability of handwashing stations near toilets." +"thyolocbcc","thyolocbcc","complaint_about_sanitation","character","Whether there have been complaints about sanitation." +"thyolocbcc","thyolocbcc","complaint_recipient","character","The person or entity who receives sanitation complaints." +"thyolocbcc","thyolocbcc","group_handwashing_station","character","Whether a group handwashing station exists at the CBCC." +"thyolocbcc","thyolocbcc","group_handwashing_count","numeric","Number of group handwashing stations available." +"thyolocbcc","thyolocbcc","soap_water_at_handwash","character","Availability of both soap and water at handwashing stations." +"thyolocbcc","thyolocbcc","toilet_has_ventilation","character","Indicates if toilets are adequately ventilated." +"thyolocbcc","thyolocbcc","toilets_within_30m_cbcc","character","Whether toilets are located within 30 meters of the CBCC." +"thyolocbcc","thyolocbcc","open_defecation_near_cbcc","character","Presence of open defecation near the CBCC premises." +"thyolocbcc","thyolocbcc","has_waste_bins","character","Indicates if there are waste bins available at the CBCC." +"thyolocbcc","thyolocbcc","waste_bins_count","character","Number of waste bins available." +"thyolocbcc","thyolocbcc","solid_waste_management","character","Method used to manage solid waste (e.g., burning, pit disposal)." +"thyolocbcc","thyolocbcc","solid_waste_management_other","character","Other methods of solid waste management if not listed." +"thyolocbcc","thyolocbcc","surrounding_clean","character","Whether the general area around the CBCC is clean." +"thyolocbcc","thyolocbcc","dialogue_on_wash_issues","character","Whether there are community dialogues on WASH issues." +"thyolocbcc","thyolocbcc","last_wash_inspection","character","Date of the most recent WASH inspection." +"thyolocbcc","thyolocbcc","cbcc_provides_meals","character","Indicates if the CBCC provides meals to children." +"thyolocbcc","thyolocbcc","kitchen_sanitary_condition","character","General sanitary condition of the CBCC kitchen." +"thyolocbcc","thyolocbcc","kitchen_sanitary_condition_other","character","Additional kitchen sanitation details not covered in the main options." +"thyolocbcc","thyolocbcc","additional_comments_2","character","Additional enumerator comments related to WASH and sanitation." +"thyolocbcc","thyolocbcc","cbcc_cleaning_frequency","character","Frequency with which the CBCC is cleaned." +"thyolocbcc","thyolocbcc","cleaning_materials_used","character","Materials used for cleaning (e.g., soap, bleach)." +"thyolocbcc","thyolocbcc","surface_detergent_available","character","Indicates if surface cleaning agents are available." +"thyolocbcc","thyolocbcc","disinfection_tools_available","character","Availability of disinfection tools (e.g., gloves, sprayers)." +"thyolocbcc","thyolocbcc","hygiene_poster_visible","character","Whether hygiene promotion posters are visible at the CBCC." +"thyolocbcc","thyolocbcc","daily_group_handwashing","character","Whether group handwashing is practiced daily at the CBCC." +"thyolocbcc","thyolocbcc","caregiver_wash_training","character","Whether caregivers have received training on WASH practices." +"thyolocbcc","thyolocbcc","handwashing_in_cbcc","character","Whether handwashing is practiced regularly at the CBCC." +"thyolocbcc","thyolocbcc","soap_water_available_now","character","If soap and water were available at the time of data collection." +"thyolocbcc","thyolocbcc","demonstrate_handwashing","character","Whether learners or caregivers can demonstrate proper handwashing technique." +"thyolocbcc","thyolocbcc","soap_stock_available","character","Availability of a stockpile of soap at the CBCC." +"thyolocbcc","thyolocbcc","soap_provider","character","Source/provider of the soap (e.g., parents, NGOs)." +"thyolocbcc","thyolocbcc","learners_hygiene_education","character","Whether hygiene education is provided to children." +"thyolocbcc","thyolocbcc","hand_hygiene_protocol_visible","character","Visibility of hand hygiene protocols posted on CBCC premises." +"thyolocbcc","thyolocbcc","slts_triggered","character","Whether the CBCC has been triggered under the School-Led Total Sanitation (SLTS) initiative." +"thyolocbcc","thyolocbcc","wash_teaching_by_caregivers","character","Whether caregivers actively teach WASH principles." +"thyolocbcc","thyolocbcc","hygiene_iec_materials","character","Availability of hygiene-related IEC (Information, Education, Communication) materials." +"thyolocbcc","thyolocbcc","key_handwashing_times","character","Key times when handwashing is practiced (e.g., before meals, after toilet)." +"thyolocbcc","thyolocbcc","key_handwashing_times_other","character","Additional key handwashing times not covered by standard options." +"thyolocbcc","thyolocbcc","iec_materials_for_training","character","Availability of IEC materials for training purposes." +"thyolocbcc","thyolocbcc","wash_improvement_equipment","character","Equipment available to support WASH improvements." +"thyolocbcc","thyolocbcc","wash_improvement_equipment_other","character","Any other WASH-related improvement equipment not listed." +"thyolocbcc","thyolocbcc","additional_comments_3","character","Final comments by the data collector on WASH and hygiene at the CBCC." "ugabore","ugabore","community","character","Local name used to refer to the administrative unit 5 where the borehole is located." "ugabore","ugabore","parish","character","Local name used to refer to the administrative unit 4 where the borehole is located." "ugabore","ugabore","sub_county","character","Local name used to refer to the administrative unit 3 where the borehole is located." @@ -2421,7 +1975,7 @@ "undpcomposite","undpcomposite","iso3","character","ISO3 country code" "undpcomposite","undpcomposite","country","character","Country name" "undpcomposite","undpcomposite","hdicode","character","Human Development Group" -"undpcomposite","undpcomposite","region","character","UNDP Developin Regions" +"undpcomposite","undpcomposite","region","character","UNDP developing regions" "undpcomposite","undpcomposite","hdi_rank_2022","numeric","HDI Rank in 2022" "undpcomposite","undpcomposite","year","character","Year of value" "undpcomposite","undpcomposite","hdi","numeric","Human Development Index" @@ -2445,7 +1999,7 @@ "undpcomposite","undpcomposite","coef_ineq","numeric","Coefficient of human inequality" "undpcomposite","undpcomposite","loss","numeric","Overall loss (%)" "undpcomposite","undpcomposite","ineq_le","numeric","Inequality in life expectancy" -"undpcomposite","undpcomposite","ineq_edu","numeric","Inequality in eduation" +"undpcomposite","undpcomposite","ineq_edu","numeric","Inequality in education" "undpcomposite","undpcomposite","ineq_inc","numeric","Inequality in income" "undpcomposite","undpcomposite","gii_rank","numeric","GII Rank" "undpcomposite","undpcomposite","gii","numeric","Gender Inequality Index (value)" @@ -2458,7 +2012,7 @@ "undpcomposite","undpcomposite","lfpr_f","numeric","Labour force participation rate, female (% ages 15 and older)" "undpcomposite","undpcomposite","lfpr_m","numeric","Labour force participation rate, male (% ages 15 and older)" "undpcomposite","undpcomposite","rankdiff_hdi_phdi","numeric","Difference from HDI rank" -"undpcomposite","undpcomposite","phdi","numeric","Planetary pressuresÐadjusted Human Development Index (value)" +"undpcomposite","undpcomposite","phdi","numeric","Planetary pressures-adjusted Human Development Index (value)" "undpcomposite","undpcomposite","diff_hdi_phdi","numeric","Difference from HDI value (%)" "undpcomposite","undpcomposite","co2_prod","numeric","Carbon dioxide emissions per capita (production) (tonnes)" "undpcomposite","undpcomposite","mf","numeric","Material footprint per capita (tonnes)" @@ -2490,6 +2044,39 @@ "unhcrwash","unhcrwash","access_to_soap","double","Percentage of households with access to soap" "unhcrwash","unhcrwash","solid_waste_disposal_access","double","Percentage of households with access to a waste disposal facility" "unhcrwash","unhcrwash","reporting_annual","date","Annual Reporting Period" +"universityrankingafrica","african_countries","countries","string","Name of the Country" +"universityrankingafrica","african_countries","region","string","African Region where the Country is located" +"universityrankingafrica","african_countries","uni_count","int","Number of Universities in the corresponding country" +"universityrankingafrica","african_countries","best_uni_rank","int","Rank Africa of the best University of the country" +"universityrankingafrica","african_countries","gdp","int","GDP of the country in 2021 (With a few exceptions for which the data is older). Source: ourworldindata.org, World Bank, international dollars in 2017 prices (accounting for differences in cost of living)" +"universityrankingafrica","african_countries","gdp_per_capita","int","GDP per Capita of the country in 2021 (With a few exceptions for which the data is older). Source: ourworldindata.org, World Bank, international dollars in 2017 prices (accounting for differences in cost of living)" +"universityrankingafrica","african_countries","hdi","double between 0 and 1","Human Development Index of the country in 2021. Source: ourworldindata.org, United Nations Development Programme (UNDP). Variable time span: 1990-2021. Higher number means better developped." +"universityrankingafrica","ranking","university","string","Name of the University" +"universityrankingafrica","ranking","country","drop-down from List of African countries","Country where the University is located" +"universityrankingafrica","ranking","city","string","City where the University is located" +"universityrankingafrica","ranking","ror_entry_correct","y / n","Is the entry on the ror.org-website corresponding to the University correct? In most ""n""-cases, the stated website is incorrect" +"universityrankingafrica","ranking","url","URL","Official website of the University" +"universityrankingafrica","ranking","website_secure","y / n","Does the website use https? Is there no security related pop-up upon opening the website?" +"universityrankingafrica","ranking","website_up_to_date","y / n","Are news articles on the website up to date OR is the copyright date of the website the current year?" +"universityrankingafrica","ranking","website_function","good / medium / poor / defunct","Good: navigating through the website is smooth, no OR very few dead or redundant links. Medium: some dead links within the webpage, some placeholders (""lorem ipsum"") still visible, some blank or empty pages. Poor: Navigating through the website is very difficult. Defunct: the official link of the university's website is no longer hosted, or is otherwise inaccessible. Note: Does NOT indicate how much information can be found on the website." +"universityrankingafrica","ranking","website_language","string","Default language of the landing site" +"universityrankingafrica","ranking","colonial_power","string","The colonial Power from which the country gained independence, if it ever was colonized or became independent." +"universityrankingafrica","ranking","rank_africa","int","The rank of the University in Africa (2'064 universities), according to https://www.webometrics.info/en/Ranking_africa" +"universityrankingafrica","ranking","rank_world","int","The rank of the University in the World (11'997 universities), according to https://www.webometrics.info/en/Ranking_africa" +"universityrankingafrica","ranking","impact_rank","int","The impact rank of the University, according to https://www.webometrics.info/en/Ranking_africa" +"universityrankingafrica","ranking","openness_rank","int","The openness rank of the University, according to https://www.webometrics.info/en/Ranking_africa" +"universityrankingafrica","ranking","excellence_rank","int","The excellence rank of the University, according to https://www.webometrics.info/en/Ranking_africa" +"universityrankingafrica","ranking","academic_system","American / French","Which academic system is used at the University: American (Undergraduate, Graduate, Doctorate) or French (LMD: Licence, Master, Doctorat)" +"universityrankingafrica","ranking","engineering_courses","int","The number of different undergraduate engineering courses the University offers." +"universityrankingafrica","ranking","years_of_study","int","Stated duration of an undergraduate engineering degree. If the University doesn't offer engineering degrees, the duration of another undergraduate degree is indicated." +"universityrankingafrica","ranking","online_application","y / n","Is there a possibility to apply for the University online? If no explicit method is stated to send the application online, it's considered as ""no" +"universityrankingafrica","ranking","international_students","y / n","Does the University give special information to interested foreign students on how to enter?" +"universityrankingafrica","ranking","yearly_fee","int","Required yearly tuition fee for a local student to complete a year of an undergraduate engineering degree at the University. If the University doesn't offer engineering degrees, the general tuition fee is indicated" +"universityrankingafrica","ranking","masters_programme","y / n","Does the University offer Master's programmes? (NOT only engineering)" +"universityrankingafrica","ranking","online_payment","y / n","Is there a possibility to pay University fees online? (either banking information, instructions or a direct link)" +"universityrankingafrica","ranking","number_of_students","int","If stated on the website, the number of students studying at the University" +"universityrankingafrica","ranking","access_date","date (dd.mm.yyyy)","Date the University website was accessed" +"universityrankingafrica","ranking","remarks","string","Personal notes on the University" "waschoolpiracema","waschoolpiracema","year","double","Year of Survey" "waschoolpiracema","waschoolpiracema","sch_id","double","Numerical code of the school" "waschoolpiracema","waschoolpiracema","admin","factor","The administration of the school is federal (1); state (2); municipal (3), or private (4). Federal, state, and municipal schools are considered public." @@ -2503,9 +2090,9 @@ "waschoolpiracema","waschoolpiracema","sewage_rede_publica","logical","The school dispose their sewage into a public sewerage system" "waschoolpiracema","waschoolpiracema","sewage_fossa_septica","logical","The school dispose their sewage into septic tank" "waschoolpiracema","waschoolpiracema","waste_servico_coleta","logical","The solid waste in the school is regularly collected by the public cleaning service" -"waschoolpiracema","waschoolpiracema","waste_queima","logical","The solid waste in the school is disposed in an area licensed by environmental agencies, intended to receive solid waste in a planned manner (e.g., landfills)" -"waschoolpiracema","waschoolpiracema","waste_enterra","logical","The solid waste in the school is burned or incinerated" -"waschoolpiracema","waschoolpiracema","waste_destino_final_publico","logical","The solid waste in the school is buried" +"waschoolpiracema","waschoolpiracema","waste_queima","logical","The solid waste in the school is burned or incinerated" +"waschoolpiracema","waschoolpiracema","waste_enterra","logical","The solid waste in the school is buried" +"waschoolpiracema","waschoolpiracema","waste_destino_final_publico","logical","The solid waste in the school is disposed in an area licensed by environmental agencies, intended to receive solid waste in a planned manner (e.g., landfills)" "waschoolpiracema","waschoolpiracema","waste_descarta_outra_area","logical","The solid waste in the school is disposed in another area (none of the other options)" "waschoolpiracema","waschoolpiracema","sanitary","logical","The school is equipped with sanitary facilities for personal hygiene/physiological needs" "waschoolpiracema","waschoolpiracema","sanitary_ei","logical","The school is equipped with sanitary facilities for children 0 to 5 years old" @@ -2516,10 +2103,10 @@ "waschoolpiracema","waschoolpiracema","pc_girl","double","Percentage of girls per school" "waschoolpiracema","waschoolpiracema","pc_boy","double","Percentage of boys per school" "waschoolpiracema","waschoolpiracema","pc_white","double","Percentage of students that are classified or self-identified as white race/skin color per school" -"waschoolpiracema","waschoolpiracema","pc_brown","double","Percentage of students that are classified or self-identified as black race/skin color per school" -"waschoolpiracema","waschoolpiracema","pc_black","double","Percentage of students that are classified or self-identified as brown race/skin color per school" -"waschoolpiracema","waschoolpiracema","pc_indian","double","Percentage of students that are classified or self-identified as Asian race/skin color per school" -"waschoolpiracema","waschoolpiracema","pc_asian","double","Percentage of students that are classified or self-identified as indigenous race/skin color per school" +"waschoolpiracema","waschoolpiracema","pc_brown","double","Percentage of students that are classified or self-identified as brown race/skin color per school" +"waschoolpiracema","waschoolpiracema","pc_black","double","Percentage of students that are classified or self-identified as black race/skin color per school" +"waschoolpiracema","waschoolpiracema","pc_indian","double","Percentage of students that are classified or self-identified as indigenous race/skin color per school" +"waschoolpiracema","waschoolpiracema","pc_asian","double","Percentage of students that are classified or self-identified as Asian race/skin color per school" "waschoolpiracema","waschoolpiracema","pc_nd","double","Percentage of students that did not declared race/skin color per school" "waschoolpiracema","waschoolpiracema","pc_cre","double","Percentage of students in daycare (0 - 3 years old)" "waschoolpiracema","waschoolpiracema","pc_pre","double","Percentage of students in preschool (4 - 5 years old)" @@ -2534,20 +2121,32 @@ "washinvestments","washinvestments","country","character","Name of the country in which the project was implemented: Values = Country Names and N/A = Multi Country ‘TRUE’" "washinvestments","washinvestments","iso_country_code","character","A three-letter country code which may allow a better visual association between the codes and the country names. For values see: UN M49 Standard, N/A = Multi Country ‘TRUE’" "washinvestments","washinvestments","city","character","Name of the city in which the investment project was implemented. MDBs state if the localities are cities, towns or rural areas. If not, the localities were identified in web searches to see whether they qualify as a city or town according to national standards: City name = project is implemented only in one city or town, MULTI = Investments & activities in multiple cities and N/A = only if Context is Rural" -"washinvestments","washinvestments","year","double","Year of investment project approval as provided by the MDBs (1964-2020)" +"washinvestments","washinvestments","year","double","Year of investment project approval as provided by the MDBs (1963-2020)" "washinvestments","washinvestments","context","character","Morphological and social context of investment project implementation: Urban = urban settlement, Rural = rural settlement and Both = urban and rural settlements are affected. Either national / sectoral programs or projects with activities in urban and rural contexts" "washinvestments","washinvestments","sector","character","Distinct range of activities and infrastructures that are different from others: Sanitation = Only wastewater / sanitation related activities, Sanitation + = Sanitation and other activities different to water supply, Water = Only water supply related activities, Water + = Water supply and other activities different to sanitation, Water & Sanitation = Only water supply and sanitation related activities and Water & Sanitation + = Water supply and sanitation and other activities different to both" "washinvestments","washinvestments","subset","double","The dataset is divided into three different subsets to structure data collection efficiently and to align with the research focus on understanding investment behaviour of MDB with regards to urban water and sanitation: 1 = Context is Rural, 2 = Context is Urban, 3 = MDB is IBRD, Context is Urban or Both, Sector is Water, Water +, Sanitation, Sanitation +" -"washinvestments","washinvestments","amount_total_2020usd","double","The total amount that is being invested in the project in 2020 USD" -"washinvestments","washinvestments","amount_mdb_2020usd","double","The value for the amount committed for the investment project that is provided by the bank identified in the MDB variable in 2020 USD" -"washinvestments","washinvestments","sponsorx","character","Name of a sponsor contributing to the investment. -X ranks sponsors according to the amount they provide: IBRD = World Bank, ADB = Asian Development Bank, AfDB = African Development Bank, Gov = Borrowing governments own contribution, Com = Recipient communities own contribution, Other Multi-Bi = Any multilateral or bilateral organization contributing to the investment, Privat = Any private source of finance contributing to the investment, N/A = There a fewer sponsors than X" -"washinvestments","washinvestments","amountx","double","Contribution by a SponsorX to the project: Values = Amounts in original currency and N/A = There a fewer sponsors than X" +"washinvestments","washinvestments","amounttotal_2020usd","double","The total amount that is being invested in the project in 2020 USD" +"washinvestments","washinvestments","amountmdb_2020usd","double","The value for the amount committed for the investment project that is provided by the bank identified in the MDB variable in 2020 USD" +"washinvestments","washinvestments","sponsor1","character","Name of the sponsor ranked 1 of up to 7 by the amount it contributes to the investment (sponsor1 provides the largest amount): IBRD = World Bank, ADB = Asian Development Bank, AfDB = African Development Bank, Gov = Borrowing governments own contribution, Com = Recipient communities own contribution, Other Multi-Bi = Any multilateral or bilateral organization contributing to the investment, Privat = Any private source of finance contributing to the investment, N/A = No sponsor is recorded" +"washinvestments","washinvestments","amount1","double","Contribution by sponsor1 to the project: Values = Amounts in original currency and N/A = No sponsor is recorded" +"washinvestments","washinvestments","sponsor2","character","Name of the sponsor ranked 2 of up to 7 by the amount it contributes to the investment (sponsor1 provides the largest amount): IBRD = World Bank, ADB = Asian Development Bank, AfDB = African Development Bank, Gov = Borrowing governments own contribution, Com = Recipient communities own contribution, Other Multi-Bi = Any multilateral or bilateral organization contributing to the investment, Privat = Any private source of finance contributing to the investment, N/A = The project has fewer than 2 sponsors" +"washinvestments","washinvestments","amount2","double","Contribution by sponsor2 to the project: Values = Amounts in original currency and N/A = The project has fewer than 2 sponsors" +"washinvestments","washinvestments","sponsor3","character","Name of the sponsor ranked 3 of up to 7 by the amount it contributes to the investment (sponsor1 provides the largest amount): IBRD = World Bank, ADB = Asian Development Bank, AfDB = African Development Bank, Gov = Borrowing governments own contribution, Com = Recipient communities own contribution, Other Multi-Bi = Any multilateral or bilateral organization contributing to the investment, Privat = Any private source of finance contributing to the investment, N/A = The project has fewer than 3 sponsors" +"washinvestments","washinvestments","amount3","double","Contribution by sponsor3 to the project: Values = Amounts in original currency and N/A = The project has fewer than 3 sponsors" +"washinvestments","washinvestments","sponsor4","character","Name of the sponsor ranked 4 of up to 7 by the amount it contributes to the investment (sponsor1 provides the largest amount): IBRD = World Bank, ADB = Asian Development Bank, AfDB = African Development Bank, Gov = Borrowing governments own contribution, Com = Recipient communities own contribution, Other Multi-Bi = Any multilateral or bilateral organization contributing to the investment, Privat = Any private source of finance contributing to the investment, N/A = The project has fewer than 4 sponsors" +"washinvestments","washinvestments","amount4","double","Contribution by sponsor4 to the project: Values = Amounts in original currency and N/A = The project has fewer than 4 sponsors" +"washinvestments","washinvestments","sponsor5","character","Name of the sponsor ranked 5 of up to 7 by the amount it contributes to the investment (sponsor1 provides the largest amount): IBRD = World Bank, ADB = Asian Development Bank, AfDB = African Development Bank, Gov = Borrowing governments own contribution, Com = Recipient communities own contribution, Other Multi-Bi = Any multilateral or bilateral organization contributing to the investment, Privat = Any private source of finance contributing to the investment, N/A = The project has fewer than 5 sponsors" +"washinvestments","washinvestments","amount5","double","Contribution by sponsor5 to the project: Values = Amounts in original currency and N/A = The project has fewer than 5 sponsors" +"washinvestments","washinvestments","sponsor6","character","Name of the sponsor ranked 6 of up to 7 by the amount it contributes to the investment (sponsor1 provides the largest amount): IBRD = World Bank, ADB = Asian Development Bank, AfDB = African Development Bank, Gov = Borrowing governments own contribution, Com = Recipient communities own contribution, Other Multi-Bi = Any multilateral or bilateral organization contributing to the investment, Privat = Any private source of finance contributing to the investment, N/A = The project has fewer than 6 sponsors" +"washinvestments","washinvestments","amount6","double","Contribution by sponsor6 to the project: Values = Amounts in original currency and N/A = The project has fewer than 6 sponsors" +"washinvestments","washinvestments","sponsor7","character","Name of the sponsor ranked 7 of up to 7 by the amount it contributes to the investment (sponsor1 provides the largest amount): IBRD = World Bank, ADB = Asian Development Bank, AfDB = African Development Bank, Gov = Borrowing governments own contribution, Com = Recipient communities own contribution, Other Multi-Bi = Any multilateral or bilateral organization contributing to the investment, Privat = Any private source of finance contributing to the investment, N/A = The project has fewer than 7 sponsors" +"washinvestments","washinvestments","amount7","double","Contribution by sponsor7 to the project: Values = Amounts in original currency and N/A = The project has fewer than 7 sponsors" "washinvestments","washinvestments","ppp_sanitation","character","The form of the public private partnership (PPP) or private sector participation (PSP) arrangement promoted or implemented. For the distribution of ownership, risks and revenues between public and private actors, refer to Budds & McGranahan (2003). For details on the different PPP categories refer to World Bank (2017): Promotion = Either PPPs or PSP are generally promoted, capacity building or institutional reforms explicitly aim to facilitate PPPs or PSP. But no execution of a specific arrangement is planned under the project, Construction = PPP arrangements focusing solely on design, engineering and construction of infrastructure, Service-O&M = PPP arrangements for service delivery and/or O&M without any ownership of infrastructure asset, Lease-Affermage = The infrastructure is leased to a private actor for a distinct period. The government typically remains responsible for capital expenditures, BOT-type = A private actor builds, operates, and then transfers the infra-structure back to a public actor, Concession = A private actor buys the right to invest in a particular sector for a particular time, Divestiture = Assets and the right to pursue business in a basic service are sold to a private entity" "washinvestments","washinvestments","ppp_water","character","The form of the public private partnership (PPP) arrangement implemented with regards to water supply. Same values as for ppp_sanitation" "washinvestments","washinvestments","amount_sanitation","double","The total amount allocated for sanitation related project components: Values = Amounts in original currency, N/A = sector does not include sanitation, NED = available documents did not allow to differentiate between sanitation and other investments" "washinvestments","washinvestments","amount_water","double","The total amount allocated for water supply related project components: Values = Amounts in original currency, N/A = sector does not include water supply, NED = available documents did not allow to differentiate between water and other investments" -"washinvestments","washinvestments","primary_c","character","Number of primary cities targeted in a project: Numbers = the number of primary cities targeted in a project, MULTI = An uncountable number of primary cities are addressed under the project. This is mainly true for regional or national projects that do not explicitly mention all cities." -"washinvestments","washinvestments","secondary_c","character","Number of secondary cities targeted in a project: Numbers = the number of secondary cities targeted in a project and MULTI = An uncountable number of primary cities are addressed under the project" +"washinvestments","washinvestments","primaryc","character","Number of primary cities targeted in a project: Numbers = the number of primary cities targeted in a project, MULTI = An uncountable number of primary cities are addressed under the project. This is mainly true for regional or national projects that do not explicitly mention all cities." +"washinvestments","washinvestments","secondaryc","character","Number of secondary cities targeted in a project: Numbers = the number of secondary cities targeted in a project and MULTI = An uncountable number of primary cities are addressed under the project" "washinvestments","washinvestments","towns","character","Number of towns targeted in a project: Numbers = the number of secondary cities targeted in a project and MULTI = An uncountable number of primary cities are addressed under the project" "washinvestments","washinvestments","network_infrastructure","logical","Indicates whether sewered sanitation infrastructures are financed under the project: TRUE = Sewered sanitation infrastructures are financed under the project, FALSE = No sewered sanitation infrastructures are financed under the project" "washinvestments","washinvestments","n_drains_sewers","logical","Indicates whether sewers or drains are financed under the project: TRUE = Sewers, drains, or other conveyance infrastructures are financed under the project, FALSE = No sewers, drains or conveyance infrastructures are financed under the project" @@ -2610,6 +2209,33 @@ "washopenresearch","datapapers","abstract","character","Abstract of the paper as provided by the metadata source" "washopenresearch","datapapers","query_term","character","WASH search term(s) that retrieved the paper separated by a semicolon" "washopenresearch","datapapers","retrieval_date","date","Date the paper metadata was harvested from the API" +"washopenresearch","jwh","paperid","integer","ID number of the paper on the journal website" +"washopenresearch","jwh","volume","integer","Volume number of the journal" +"washopenresearch","jwh","issue","character","Issue number of the journal, as text because combined issues (for example ""1-2"") occur" +"washopenresearch","jwh","paper_url","character","Official website url of the paper" +"washopenresearch","jwh","journal","character","Full name of the journal" +"washopenresearch","jwh","title","character","Title of the paper" +"washopenresearch","jwh","published_year","numeric","Year of publication" +"washopenresearch","jwh","is_supp","logical","Whether the paper has supplementary materials" +"washopenresearch","jwh","num_supp","integer","Number of supplementary material files" +"washopenresearch","jwh","supp_file_type","character","File types of the supplementary materials separated by a semicolon when there are multiple" +"washopenresearch","jwh","supp_url","character","Website urls of the supplementary materials separated by a semicolon when there are multiple" +"washopenresearch","jwh","num_authors","integer","Number of the authors" +"washopenresearch","jwh","first_author_name","character","Name of the first author" +"washopenresearch","jwh","first_author_affiliation","character","Academic affiliation of the first author" +"washopenresearch","jwh","first_author_affiliation_country","character","Country of the first author parsed from first_author_affiliation variable encoded with United Nations names" +"washopenresearch","jwh","first_author_orcid","character","ORCID of the first author" +"washopenresearch","jwh","correspondence_author_name","character","Name of the correspondence author" +"washopenresearch","jwh","correspondence_author_affiliation","character","Academic affiliation of the correspondence author" +"washopenresearch","jwh","correspondence_author_affiliation_country","character","Country of the correspondence author parsed from correspondence_author_affiliation variable encoded with United Nations names" +"washopenresearch","jwh","correspondence_author_orcid","character","ORCID of the correspondence author" +"washopenresearch","jwh","has_das","logical","Whether the paper has a data availability statement" +"washopenresearch","jwh","das","character","Original data availability statement of the paper. NA if it does not have a data availability statement." +"washopenresearch","jwh","das_type","factor","Type of the data availability statement including ""in paper""(data in full paper scope like supplementary material or appendix or main content) ""on request""(data available on request to the authors) ""available in online repository""(data is shared in a public online repository) ""not shareable""(data is not shareable). NA if it does not have a data availability statement." +"washopenresearch","jwh","das_repo_url","character","Website urls of the data if the relevant data of the paper is shared on a public repository separated by a semicolon when there are multiple" +"washopenresearch","jwh","keywords","character","Keywords of the paper separated by a semicolon" +"washopenresearch","jwh","doi","character","DOI of the paper. Collected by the R scraper; populated for every row" +"washopenresearch","jwh","url_source","character","Publisher website of the paper" "washopenresearch","ploswater","paperid","character","DOI of the paper; identical to the doi variable" "washopenresearch","ploswater","volume","integer","Volume number of the journal; volume 1 is 2022" "washopenresearch","ploswater","issue","integer","Issue number of the journal" @@ -2625,12 +2251,10 @@ "washopenresearch","ploswater","first_author_name","character","Name of the first author" "washopenresearch","ploswater","first_author_affiliation","character","Academic affiliation of the first author" "washopenresearch","ploswater","first_author_affiliation_country","character","Country of the first author parsed from first_author_affiliation encoded with United Nations names" -"washopenresearch","ploswater","first_author_email","character","Email of the first author. Only available when the first author is the correspondence author because PLOS publishes only the correspondence email" "washopenresearch","ploswater","first_author_orcid","character","ORCID of the first author" "washopenresearch","ploswater","correspondence_author_name","character","Name of the correspondence author" "washopenresearch","ploswater","correspondence_author_affiliation","character","Academic affiliation of the correspondence author" "washopenresearch","ploswater","correspondence_author_affiliation_country","character","Country of the correspondence author parsed from correspondence_author_affiliation encoded with United Nations names" -"washopenresearch","ploswater","correspondence_author_email","character","Email of the correspondence author" "washopenresearch","ploswater","correspondence_author_orcid","character","ORCID of the correspondence author" "washopenresearch","ploswater","has_das","logical","Whether the paper has a data availability statement" "washopenresearch","ploswater","das","character","Original data availability statement of the paper. NA if it does not have a data availability statement" @@ -2657,16 +2281,14 @@ "washopenresearch","uncnewsletter","first_author_name","character","Name of the first author" "washopenresearch","uncnewsletter","first_author_affiliation","character","Academic affiliation of the first author" "washopenresearch","uncnewsletter","first_author_affiliation_country","character","Country of the first author directly parsed from first_author_affiliation variable encoded with United Nation names" -"washopenresearch","uncnewsletter","first_author_email","character","Email of the first author" "washopenresearch","uncnewsletter","first_author_orcid","character","ORCID of the first author" "washopenresearch","uncnewsletter","correspondence_author_name","character","Name of the correspondence author" "washopenresearch","uncnewsletter","correspondence_author_affiliation","character","Academic affiliation of the correspondence author" "washopenresearch","uncnewsletter","correspondence_author_affiliation_country","character","Country or region of the correspondence author directly parsed from correspondence_author_affiliation variable encoded with United Nation names" -"washopenresearch","uncnewsletter","correspondence_author_email","character","Email of the correspondence author" "washopenresearch","uncnewsletter","correspondence_author_orcid","character","ORCID of the correspondence author" "washopenresearch","uncnewsletter","has_das","logical","Whether the paper has a data availability statement" "washopenresearch","uncnewsletter","das","character","Original data availability statement of the paper. NA if it does not have a data availability statement." -"washopenresearch","uncnewsletter","das_type","factor","Type of the data availability statement including in paper(data in full paper scope like supplementary material or appendix or main content) on request(data available on request to the authors) available in online repository(data is shared in a public online repository) not shareable(data is not shareable). NA if it does not have a data availability statement." +"washopenresearch","uncnewsletter","das_type","factor","Type of the data availability statement including ""in paper""(data in full paper scope like supplementary material or appendix or main content) ""on request""(data available on request to the authors) ""available in online repository""(data is shared in a public online repository) ""not shareable""(data is not shareable). NA if it does not have a data availability statement." "washopenresearch","uncnewsletter","das_repo_url","character","Website urls of the data if the relevant data of the paper is shared on a public repository separated by a semicolon when there are multiple" "washopenresearch","uncnewsletter","keywords","character","Keywords of the paper separated by a semicolon" "washopenresearch","uncnewsletter","doi","character","DOI of the paper backfilled via a Crossref title search (issue #20); NA where no match cleared the title-similarity threshold (see data-raw/uncnewsletter-doi-review.csv)" @@ -2685,24 +2307,62 @@ "washopenresearch","washdev","first_author_name","character","Name of the first author" "washopenresearch","washdev","first_author_affiliation","character","Academic affiliation of the first author" "washopenresearch","washdev","first_author_affiliation_country","character","Country of the first author parsed from first_author_affiliation variable encoded with United Nations names" -"washopenresearch","washdev","first_author_email","character","Email of the first author" "washopenresearch","washdev","first_author_orcid","character","ORCID of the first author" "washopenresearch","washdev","correspondence_author_name","character","Name of the correspondence author" "washopenresearch","washdev","correspondence_author_affiliation","character","Academic affiliation of the correspondence author" "washopenresearch","washdev","correspondence_author_affiliation_country","character","Country of the correspondence author parsed from correspondence_author_affiliation variable encoded with United Nations names" -"washopenresearch","washdev","correspondence_author_email","character","Email of the correspondence author" "washopenresearch","washdev","correspondence_author_orcid","character","ORCID of the correspondence author" "washopenresearch","washdev","has_das","logical","Whether the paper has a data availability statement" "washopenresearch","washdev","das","character","Original data availability statement of the paper. NA if it does not have a data availability statement." -"washopenresearch","washdev","das_type","factor","Type of the data availability statement including in paper(data in full paper scope like supplementary material or appendix or main content) on request(data available on request to the authors) available in online repository(data is shared in a public online repository) not shareable(data is not shareable). NA if it does not have a data availability statement." +"washopenresearch","washdev","das_type","factor","Type of the data availability statement including ""in paper""(data in full paper scope like supplementary material or appendix or main content) ""on request""(data available on request to the authors) ""available in online repository""(data is shared in a public online repository) ""not shareable""(data is not shareable). NA if it does not have a data availability statement." "washopenresearch","washdev","das_repo_url","character","Website urls of the data if the relevant data of the paper is shared on a public repository separated by a semicolon when there are multiple" "washopenresearch","washdev","keywords","character","Keywords of the paper separated by a semicolon" "washopenresearch","washdev","url_source","character","Publisher website of the paper" "washopenresearch","washdev","doi","character","DOI of the paper. Collected by the R scraper for recent articles and backfilled via Crossref for legacy rows (issue #20); NA where no Crossref match was found (see data-raw/washdev-doi-review.csv)" -"wasteskipsblantyre","wasteskipsblantyre","name","character","Name of the waste skip location." -"wasteskipsblantyre","wasteskipsblantyre","long","double","Longitude of the location as decimal degrees." -"wasteskipsblantyre","wasteskipsblantyre","lat","double","Latitude of the location as decimal degrees." -"wasteskipsblantyre","wasteskipsblantyre","capacity_l","double","Capacity of the container in liters." +"washopenresearch","ws","paperid","integer","ID number of the paper on the journal website" +"washopenresearch","ws","volume","integer","Volume number of the journal" +"washopenresearch","ws","issue","character","Issue number of the journal, as text because combined issues (for example ""1-2"") occur" +"washopenresearch","ws","paper_url","character","Official website url of the paper" +"washopenresearch","ws","journal","character","Full name of the journal" +"washopenresearch","ws","title","character","Title of the paper" +"washopenresearch","ws","published_year","numeric","Year of publication" +"washopenresearch","ws","is_supp","logical","Whether the paper has supplementary materials" +"washopenresearch","ws","num_supp","integer","Number of supplementary material files" +"washopenresearch","ws","supp_file_type","character","File types of the supplementary materials separated by a semicolon when there are multiple" +"washopenresearch","ws","supp_url","character","Website urls of the supplementary materials separated by a semicolon when there are multiple" +"washopenresearch","ws","num_authors","integer","Number of the authors" +"washopenresearch","ws","first_author_name","character","Name of the first author" +"washopenresearch","ws","first_author_affiliation","character","Academic affiliation of the first author" +"washopenresearch","ws","first_author_affiliation_country","character","Country of the first author parsed from first_author_affiliation variable encoded with United Nations names" +"washopenresearch","ws","first_author_orcid","character","ORCID of the first author" +"washopenresearch","ws","correspondence_author_name","character","Name of the correspondence author" +"washopenresearch","ws","correspondence_author_affiliation","character","Academic affiliation of the correspondence author" +"washopenresearch","ws","correspondence_author_affiliation_country","character","Country of the correspondence author parsed from correspondence_author_affiliation variable encoded with United Nations names" +"washopenresearch","ws","correspondence_author_orcid","character","ORCID of the correspondence author" +"washopenresearch","ws","has_das","logical","Whether the paper has a data availability statement" +"washopenresearch","ws","das","character","Original data availability statement of the paper. NA if it does not have a data availability statement." +"washopenresearch","ws","das_type","factor","Type of the data availability statement including ""in paper""(data in full paper scope like supplementary material or appendix or main content) ""on request""(data available on request to the authors) ""available in online repository""(data is shared in a public online repository) ""not shareable""(data is not shareable). NA if it does not have a data availability statement." +"washopenresearch","ws","das_repo_url","character","Website urls of the data if the relevant data of the paper is shared on a public repository separated by a semicolon when there are multiple" +"washopenresearch","ws","keywords","character","Keywords of the paper separated by a semicolon" +"washopenresearch","ws","doi","character","DOI of the paper. Collected by the R scraper; populated for every row" +"washopenresearch","ws","url_source","character","Publisher website of the paper" +"wasteskipsblantyre","poi","poi","character","Point of interest." +"wasteskipsblantyre","poi","lat","double","Y (latitude) coordinate in WGS 84." +"wasteskipsblantyre","poi","long","double","X (longitude) coordinate in WGS 84." +"wasteskipsblantyre","skips","name","character","Main name of skip location." +"wasteskipsblantyre","skips","name_other","character","Alternative names of skip location separated by commas." +"wasteskipsblantyre","skips","supervision_area","character","Cleansing supervision area." +"wasteskipsblantyre","skips","context","character","Type of urban environment surrounding skip location." +"wasteskipsblantyre","skips","direct_access","character","Vehicle access path type." +"wasteskipsblantyre","skips","fillup","double","Number of days to fill up according to person surveyed." +"wasteskipsblantyre","skips","fillup_dry","double","Number of days to fill up in dry season according to person surveyed." +"wasteskipsblantyre","skips","fillup_rainy","double","Number of days to fill up in rainy season according to person surveyed." +"wasteskipsblantyre","skips","number_skips","double","Number of skips at skip location." +"wasteskipsblantyre","skips","capacity","double","Capacity of one skip in litres." +"wasteskipsblantyre","skips","y","double","Y (latitude) coordinate in WGS 84." +"wasteskipsblantyre","skips","x","double","X (longitude) coordinate in WGS 84." +"wasteskipsblantyre","skips","notes","character","Notes relating to skip location." +"watercostaccra","households","id","double","identification number" "watercostaccra","households","community","factor","the communities surveyed, options including `1` kg: Korle Gonno and `2` abuja: Abuja" "watercostaccra","households","housing_type","factor","housing type, options includin `1` block_unit: unit in a row of apartments made of cement blocks, `2` wood_unit: unit in a row of apartments made of wood, `3` house, `4` compound_house: single-story L- or C-shaped house with a multiple units around a shared courtyard, `5` multistory_apt: multi-story apartment building, `6` wood_shack: wooden shack, `7` no_structure, and `8` other" "watercostaccra","households","respondent_relationship_to_hh","factor","respondent's relationship to the household head (respondent identified), options including `1` self, `2` child, `3` spouse, and `4` other_relative" @@ -2718,15 +2378,48 @@ "watercostaccra","households","business_water_use","logical","respondent's business uses water beyond typical needs of household (true or false)" "watercostaccra","households","business_water_source","factor","primary source of water for business use (packaged water, piped to home, piped to neighbor's home, piped to compound, commercial or public tap, borehole, dug well, spring water, delivered water)" "watercostaccra","households","primary_dw_source","factor","primary source of drinking water (packaged water, piped to home, piped to neighbor's home, piped to compound, commercial or public tap, borehole, dug well, spring water, delivered water)" -"watercostaccra","households","dw_reason_x","logical","columns about respondent reasons for using drinking water source on convenience, affordability, availability, temperature, cleanliness, taste, habit or cultural norm, trustworthiness, health, other. (true or false)" +"watercostaccra","households","dw_reason_convenience","logical","respondent names convenience as a reason for using the drinking water source (true or false)" +"watercostaccra","households","dw_reason_affordable","logical","respondent names affordability as a reason for using the drinking water source (true or false)" +"watercostaccra","households","dw_reason_available","logical","respondent names availability as a reason for using the drinking water source (true or false)" +"watercostaccra","households","dw_reason_cold","logical","respondent names temperature (cold water) as a reason for using the drinking water source (true or false)" +"watercostaccra","households","dw_reason_clean","logical","respondent names cleanliness as a reason for using the drinking water source (true or false)" +"watercostaccra","households","dw_reason_taste","logical","respondent names taste as a reason for using the drinking water source (true or false)" +"watercostaccra","households","dw_reason_habit_or_cultural_norm","logical","respondent names habit or cultural norm as a reason for using the drinking water source (true or false)" +"watercostaccra","households","dw_reason_trustworthy","logical","respondent names trustworthiness as a reason for using the drinking water source (true or false)" +"watercostaccra","households","dw_reason_health","logical","respondent names health as a reason for using the drinking water source (true or false)" +"watercostaccra","households","dw_reason_other","logical","respondent names another reason for using the drinking water source (true or false)" "watercostaccra","households","package_type_preference","factor","respondent typically purchases individual, options including `1`individual: sachets/packets/bottles, `2` bag: multipacks of these, or `3` both" -"watercostaccra","households","package_size_reason_x","logical","columns about reasons for purchasing preferred package type on storage space in home, cost effectiveness, temperature at time of purchase, availability of money, convenience, size needed for respondent or household, avoiding wasting water by purchasing only when needed. (true or false)" +"watercostaccra","households","package_size_reason_storage_space","logical","respondent names storage space in the home as a reason for purchasing the preferred package type (true or false)" +"watercostaccra","households","package_size_reason_cost_effective","logical","respondent names cost effectiveness as a reason for purchasing the preferred package type (true or false)" +"watercostaccra","households","package_size_reason_temperature","logical","respondent names temperature at the time of purchase as a reason for purchasing the preferred package type (true or false)" +"watercostaccra","households","package_size_reason_available_money","logical","respondent names availability of money as a reason for purchasing the preferred package type (true or false)" +"watercostaccra","households","package_size_reason_convenience","logical","respondent names convenience as a reason for purchasing the preferred package type (true or false)" +"watercostaccra","households","package_size_reason_size","logical","respondent names the size needed for the respondent or household as a reason for purchasing the preferred package type (true or false)" +"watercostaccra","households","package_size_reason_avoid_wasting_water","logical","respondent names avoiding wasting water by purchasing only when needed as a reason for purchasing the preferred package type (true or false)" "watercostaccra","households","dw_treatment","factor","treatment methods of water before drinking, options including `1`no_treatment, `2` boil, `3`boil;settle, `4` filter, and `5`settle" "watercostaccra","households","primary_water_source","factor","primary water source for non-drinking water, options including `1`packaged water, `2`piped_to_home, `3`piped to neighbor's home, `4`piped to compound, `5`commercial or public tap, `6`borehole, `7`dug well, `8`spring water, and `9` delivered water)" -"watercostaccra","households","primary_source_reason_x","logical","columns about reasons for using primary source of non-drinking water on proximity to home, convenience, affordability, availability, cleanliness, other. (true or false)" +"watercostaccra","households","primary_source_reason_proximity","logical","respondent names proximity to home as a reason for using the primary source of non-drinking water (true or false)" +"watercostaccra","households","primary_source_reason_convenience","logical","respondent names convenience as a reason for using the primary source of non-drinking water (true or false)" +"watercostaccra","households","primary_source_reason_affordable","logical","respondent names affordability as a reason for using the primary source of non-drinking water (true or false)" +"watercostaccra","households","primary_source_reason_availability","logical","respondent names availability as a reason for using the primary source of non-drinking water (true or false)" +"watercostaccra","households","primary_source_reason_cleanliness","logical","respondent names cleanliness as a reason for using the primary source of non-drinking water (true or false)" +"watercostaccra","households","primary_source_reason_other","logical","respondent names another reason for using the primary source of non-drinking water (true or false)" "watercostaccra","households","other_non_dw_source_use","logical","respondent uses at least one source besides primary non-drinking water source (true or false)" -"watercostaccra","households","other_non_dw_sources_x","logical","columns about additional water source(s) for non-drinking water on packaged water, piped to home, piped to neighbor's home, piped to compound, commercial or public tap, borehole, dug well, spring water, delivered water. (true or false)" -"watercostaccra","households","secondary_source_reason_x","logical","columns about reason for using secondary source of non-drinking water (primary source is not available, primary source is not clean, primary source is crowded, availability of shower stalls, convenient location)" +"watercostaccra","households","other_non_dw_sources_packaged","logical","respondent uses packaged water as an additional source of non-drinking water (true or false)" +"watercostaccra","households","other_non_dw_sources_piped_to_home","logical","respondent uses water piped to home as an additional source of non-drinking water (true or false)" +"watercostaccra","households","other_non_dw_sources_piped_to_neighbor","logical","respondent uses water piped to a neighbor's home as an additional source of non-drinking water (true or false)" +"watercostaccra","households","other_non_dw_sources_commercial_tap","logical","respondent uses a commercial or public tap as an additional source of non-drinking water (true or false)" +"watercostaccra","households","other_non_dw_sources_piped_to_compound","logical","respondent uses water piped to the compound as an additional source of non-drinking water (true or false)" +"watercostaccra","households","other_non_dw_sources_borehole","logical","respondent uses a borehole as an additional source of non-drinking water (true or false)" +"watercostaccra","households","other_non_dw_sources_dug_well","logical","respondent uses a dug well as an additional source of non-drinking water (true or false)" +"watercostaccra","households","other_non_dw_sources_spring_water","logical","respondent uses spring water as an additional source of non-drinking water (true or false)" +"watercostaccra","households","other_non_dw_sources_delivered_water","logical","respondent uses delivered water as an additional source of non-drinking water (true or false)" +"watercostaccra","households","other_non_dw_sources_other","logical","respondent uses another source as an additional source of non-drinking water (true or false)" +"watercostaccra","households","secondary_source_reason_availability","logical","respondent uses a secondary source of non-drinking water because the primary source is not available (true or false)" +"watercostaccra","households","secondary_source_reason_unclean","logical","respondent uses a secondary source of non-drinking water because the primary source is not clean (true or false)" +"watercostaccra","households","secondary_source_reason_crowding","logical","respondent uses a secondary source of non-drinking water because the primary source is crowded (true or false)" +"watercostaccra","households","secondary_source_reason_shower","logical","respondent uses a secondary source of non-drinking water because shower stalls are available (true or false)" +"watercostaccra","households","secondary_source_reason_convenient_location","logical","respondent uses a secondary source of non-drinking water because of its convenient location (true or false)" "watercostaccra","households","tap_payment_mode","factor","respondent's mechanism for paying for piped water (all respondents use piped water as a primary or secondary source). Options include `1` pay_to_fetch: paying to fetch, `2` shares_bill: sharing or paying the whole bill, or `3` both (at different taps)." "watercostaccra","households","daily_hh_water_cost_for_pay_to_fetch","double","daily estimated cost of drinking water for respondent's household" "watercostaccra","households","daily_hh_water_cost_phhm_for_pay_to_fetch","double","daily estimated cost of drinking water for respondent's household per household member" @@ -2734,12 +2427,28 @@ "watercostaccra","households","time_of_last_struggle_to_find_water","factor","respondent's last time of struggle to find water, options including `1` last_3_days, `2` last_7_days, `3` last_30_days, `4` last_year, and `5` over_year_ago." "watercostaccra","households","weekdays_struggle_to_find_water","double","days in a week the respondent typically struggles to find or pay for water" "watercostaccra","households","past_struggle_primary_reason","factor","primary reason for past struggles to find water, options including `1` availability: availability, `2` cost, and `3` distance: distance to nearest source." -"watercostaccra","households","tap_closure_knowledge_x","logical","columns about respondent's knowledge about tap closures (usually known, sometimes known, expected due to patterns in closures, not known, or no answer). (true or false)" -"watercostaccra","households","coping_mechanism_x","logical","columns about strategies for coping with water shortage (spending more on the same amount of water, purchasing extra water to store at home, using another source, using packaged water for cooking, skipping cooking, using packaged water for bathing, skipping bathing, closing business due to water shortage, skipping laundry). (true or false)" +"watercostaccra","households","tap_closure_knowledge_known","logical","respondent's knowledge about tap closures: usually known (true or false)" +"watercostaccra","households","tap_closure_knowledge_sometimes","logical","respondent's knowledge about tap closures: sometimes known (true or false)" +"watercostaccra","households","tap_closure_knowledge_expected_pattern","logical","respondent's knowledge about tap closures: expected due to patterns in closures (true or false)" +"watercostaccra","households","tap_closure_knowledge_unknown","logical","respondent's knowledge about tap closures: not known (true or false)" +"watercostaccra","households","tap_closure_knowledge_no_answer","logical","respondent's knowledge about tap closures: no answer (true or false)" +"watercostaccra","households","coping_mechanism_spend_more","logical","respondent copes with water shortage by spending more on the same amount of water (true or false)" +"watercostaccra","households","coping_mechanism_purchase_more_to_store_at_home","logical","respondent copes with water shortage by purchasing extra water to store at home (true or false)" +"watercostaccra","households","coping_mechanism_use_other_source","logical","respondent copes with water shortage by using another source (true or false)" +"watercostaccra","households","coping_mechanism_sachet_to_cook","logical","respondent copes with water shortage by using packaged water for cooking (true or false)" +"watercostaccra","households","coping_mechanism_skipped_cooking","logical","respondent copes with water shortage by skipping cooking (true or false)" +"watercostaccra","households","coping_mechanism_sachet_to_bathe","logical","respondent copes with water shortage by using packaged water for bathing (true or false)" +"watercostaccra","households","coping_mechanism_skipped_bathing","logical","respondent copes with water shortage by skipping bathing (true or false)" +"watercostaccra","households","coping_mechanism_closed_business","logical","respondent copes with water shortage by closing the business (true or false)" +"watercostaccra","households","coping_mechanism_skipped_laundry","logical","respondent copes with water shortage by skipping laundry (true or false)" "watercostaccra","households","water_storage_drinking_water","logical","respondent typically stores drinking water at home (true or false)" "watercostaccra","households","water_storage_non_drinking_water","logical","respondent typically stores non-drinking water at home (true or false)" "watercostaccra","households","water_storage_none","logical","respondent typically does not store water at home (true or false)" -"watercostaccra","households","storage_containers_x","logical","columns about if respondent typically stores non-drinking water, types of storage containers (plastic jugs also called jerry cans or Kufuor gallons, uncovered or covered barrels, other covered or uncovered containers)" +"watercostaccra","households","storage_containers_plastic_jug","logical","respondent stores non-drinking water in plastic jugs (jerry cans or Kufuor gallons) (true or false)" +"watercostaccra","households","storage_containers_uncovered_barrels","logical","respondent stores non-drinking water in uncovered barrels (true or false)" +"watercostaccra","households","storage_containers_covered_barrels","logical","respondent stores non-drinking water in covered barrels (true or false)" +"watercostaccra","households","storage_containers_other_covered","logical","respondent stores non-drinking water in other covered containers (true or false)" +"watercostaccra","households","storage_containers_other_uncovered","logical","respondent stores non-drinking water in other uncovered containers (true or false)" "watercostaccra","households","estimated_non_dw_storage_capacity","double","estimated capacity of storage for non-drinking water (liters)" "watercostaccra","households","estimated_stored_non_dw","double","estimated actual storage of non-drinking water (liters)" "watercostaccra","waterpoints","id","integer","identification number" @@ -2748,7 +2457,9 @@ "watercostaccra","waterpoints","available_services","factor","services available at water point, options including (bathing, public sale of water, toilet, or comination of these)" "watercostaccra","waterpoints","location","factor","location of the water point, options including `1` within_a_compound or `2` on_the_street: outside compound adjacent to street." "watercostaccra","waterpoints","year_established","integer","year established" +"watercostaccra","waterpoints","year_established_unknown","logical","year of establishment is unknown to the respondent (TRUE, otherwise NA)" "watercostaccra","waterpoints","owner","factor","owner, options including `1` household_head, `2` household_member, `3` community_member: community member outside household, and `4` multiple_community_members: multiple community members outside household" +"watercostaccra","waterpoints","owner_na","logical","owner question not applicable (TRUE, otherwise NA)" "watercostaccra","waterpoints","constructor","factor","type of constructor, options including `1` government or `2` community_member." "watercostaccra","waterpoints","managers","factor","type of typical manager(s) of water point, options including household head or member(s), employee(s), self managed by customers, or combination of these)" "watercostaccra","waterpoints","estimated_storage_capacity_liters","double","estimated storage capacity in liters" @@ -2770,18 +2481,165 @@ "watercostaccra","waterpoints","tc_mpn","double","results of Total Coliforms (TC) most probable number (MPN) test per 100 mL sample" "watercostaccra","waterpoints","tc_mpn_ci","double","results of Total Coliforms (TC) most probable number (MPN) test per 100 mL sample - upper 95% confidence interval (CI)" "watercostaccra","waterpoints","tc_mpn_health_risk","factor","results of Total Coliforms (TC) most probable number (MPN) test per 100 mL sample - descriptive health risk, options including `1`safe, `2`possibly_safe, `3` possibly_unsafe and `4`unsafe." +"waterpointstatus","waterpointstatus","waterpoint_id","numeric","Unique identifier assigned to each water point." +"waterpointstatus","waterpointstatus","latitude","numeric","Geographic latitude of the water point" +"waterpointstatus","waterpointstatus","longitude","numeric","Geographic longitude of the water point" +"waterpointstatus","waterpointstatus","waterpoint_image","character","File name or reference to image captured during the survey visit." +"waterpointstatus","waterpointstatus","functional_status","character","Operational status of the water point at time of visit" +"waterpointstatus","waterpointstatus","downtime_duration","character","Reported length of time the water point has been non-functional or abandoned." +"waterpointstatus","waterpointstatus","abandon_reason","character","Primary reason the water point was abandoned or left non-functional." +"waterpointstatus","waterpointstatus","has_current_issue","character","Indicates whether any current technical or operational problem was observed." +"waterpointstatus","waterpointstatus","current_issue","character","Type of current problem affecting the water point." +"waterpointstatus","waterpointstatus","water_available_today","character","Indicates whether water was available on the day of the visit." +"waterpointstatus","waterpointstatus","continuous_30days","character","Indicates whether the water point provided uninterrupted water supply over the past 30 days." +"waterpointstatus","waterpointstatus","no_water_30days_reason","character","Reason for water interruptions within the last 30 days." +"waterpointstatus","waterpointstatus","repair_duration_days","numeric","Number of days taken to repair the water point after the most recent breakdown" +"waterpointstatus","waterpointstatus","seasonal_unavailable","character","Indicates whether the water source becomes unavailable during certain seasons." +"waterpointstatus","waterpointstatus","seasonal_period","character","Time of year when water is typically unavailable due to seasonal variation." +"waterpointstatus","waterpointstatus","flow_test_possible","character","Indicates whether a flow rate test could be conducted during the visit." +"waterpointstatus","waterpointstatus","fill_time_20l","numeric","Time required to fill a 20-litre container during flow rate test." +"waterpointstatus","waterpointstatus","latrine_within_100m","character","Indicates presence of a latrine within 100 metres of the water point." +"waterpointstatus","waterpointstatus","observed_issues","character","General technical or structural problems observed during the visit, multiple responses possible" +"waterpointstatus","waterpointstatus","water_quality_issues","character","Observed or reported water quality concerns" +"waterpointstatus","waterpointstatus","preventive_maintenance","character","Indicates whether routine preventative maintenance is performed on the water point." +"waterpointstatus","waterpointstatus","maintenance_barrier","character","Main reason preventing regular preventative maintenance." +"waterpointstatus","waterpointstatus","user_population","numeric","Estimated number of people regularly using the water point." +"waterpointstatus","waterpointstatus","universal_access","character","Indicates whether all community members have access to the water point." +"waterpointstatus","waterpointstatus","households_no_access","numeric","Estimated number of households without access to the water point." +"waterpointstatus","waterpointstatus","access_barrier","character","Primary reason some households lack access to the water point." +"waterpointstatus","waterpointstatus","max_roundtrip_minutes","numeric","Maximum reported round-trip time in minutes to collect water." +"waterpointstatus","waterpointstatus","max_distance_metres","numeric","Maximum reported one-way walking distance to the water point." +"waterpointstatus","waterpointstatus","has_service_provider","character","Indicates whether a designated service provider or operator is responsible for the water point." +"waterpointstatus","waterpointstatus","provider_type","character","Type of service provider responsible for operation and maintenance" +"waterpointstatus","waterpointstatus","has_tariff","character","Indicates whether users pay a tariff or fee for water access." +"waterpointstatus","waterpointstatus","tariff_frequency","character","Frequency at which the water tariff or user fee is collected." +"waterpointstatus","waterpointstatus","tariff_amount_mwk","numeric","Amount charged per tariff period in Malawi Kwacha" +"waterpointstatus","waterpointstatus","tariff_cost_basis","character","Cost factors considered when setting the water tariff" +"waterpointstatus","waterpointstatus","has_financial_records","character","Indicates whether financial records or books are maintained for the water point." +"waterpointstatus","waterpointstatus","has_positive_balance","character","Indicates whether financial records show a positive account balance." +"waterpointstatus","waterpointstatus","savings_or_loans","character","Indicates evidence of savings accumulation or loan repayment in financial records." +"waterpointstatus","waterpointstatus","record_balance_mwk","numeric","Reported balance recorded in financial books" +"waterpointstatus","waterpointstatus","has_bank_account","character","Indicates whether the service provider maintains a formal bank account." +"waterpointstatus","waterpointstatus","bank_balance_mwk","numeric","Reported balance held in the bank account" +"waterpointstatus","waterpointstatus","committee_year_formed","numeric","Year the water point committee was established." +"waterpointstatus","waterpointstatus","committee_member_count","numeric","Total number of members serving on the water point committee." +"waterpointstatus","waterpointstatus","committee_women_count","numeric","Number of women serving on the water point committee." +"waterpointstatus","waterpointstatus","treasurer_gender","character","Gender of the committee treasurer." +"waterpointstatus","waterpointstatus","months_unavailable","numeric","Total number of months per year the water source is unavailable." "waterpumpkwale","location","pumpid","character","ID number of the water pump" "waterpumpkwale","location","description","character","Name of the pump location" -"waterpumpkwale","location","x_arc1960","double","Longitude in Arc 1960 coordinate system" -"waterpumpkwale","location","y_rc1960","double","Latitude in Arc 1960 coordinate system" +"waterpumpkwale","location","x_arc1960","double","Easting in metres, Arc 1960 / UTM zone 37S" +"waterpumpkwale","location","y_arc1960","double","Northing in metres, Arc 1960 / UTM zone 37S" "waterpumpkwale","location","lat_wgs84","double","Latitude in WGS 84 coordinate system" "waterpumpkwale","location","long_wgs84","double","Longitude in WGS 84 coordinate system" "waterpumpkwale","weeklyvol2014","pumpid","character","ID number of the water pump" -"waterpumpkwale","weeklyvol2014","n","double","Each column indicates the week number 1, 2, 3, ..., 52" +"waterpumpkwale","weeklyvol2014","1","double","Volume of water pumped in week 1 of 2014" +"waterpumpkwale","weeklyvol2014","2","double","Volume of water pumped in week 2 of 2014" +"waterpumpkwale","weeklyvol2014","3","double","Volume of water pumped in week 3 of 2014" +"waterpumpkwale","weeklyvol2014","4","double","Volume of water pumped in week 4 of 2014" +"waterpumpkwale","weeklyvol2014","5","double","Volume of water pumped in week 5 of 2014" +"waterpumpkwale","weeklyvol2014","6","double","Volume of water pumped in week 6 of 2014" +"waterpumpkwale","weeklyvol2014","7","double","Volume of water pumped in week 7 of 2014" +"waterpumpkwale","weeklyvol2014","8","double","Volume of water pumped in week 8 of 2014" +"waterpumpkwale","weeklyvol2014","9","double","Volume of water pumped in week 9 of 2014" +"waterpumpkwale","weeklyvol2014","10","double","Volume of water pumped in week 10 of 2014" +"waterpumpkwale","weeklyvol2014","11","double","Volume of water pumped in week 11 of 2014" +"waterpumpkwale","weeklyvol2014","12","double","Volume of water pumped in week 12 of 2014" +"waterpumpkwale","weeklyvol2014","13","double","Volume of water pumped in week 13 of 2014" +"waterpumpkwale","weeklyvol2014","14","double","Volume of water pumped in week 14 of 2014" +"waterpumpkwale","weeklyvol2014","15","double","Volume of water pumped in week 15 of 2014" +"waterpumpkwale","weeklyvol2014","16","double","Volume of water pumped in week 16 of 2014" +"waterpumpkwale","weeklyvol2014","17","double","Volume of water pumped in week 17 of 2014" +"waterpumpkwale","weeklyvol2014","18","double","Volume of water pumped in week 18 of 2014" +"waterpumpkwale","weeklyvol2014","19","double","Volume of water pumped in week 19 of 2014" +"waterpumpkwale","weeklyvol2014","20","double","Volume of water pumped in week 20 of 2014" +"waterpumpkwale","weeklyvol2014","21","double","Volume of water pumped in week 21 of 2014" +"waterpumpkwale","weeklyvol2014","22","double","Volume of water pumped in week 22 of 2014" +"waterpumpkwale","weeklyvol2014","23","double","Volume of water pumped in week 23 of 2014" +"waterpumpkwale","weeklyvol2014","24","double","Volume of water pumped in week 24 of 2014" +"waterpumpkwale","weeklyvol2014","25","double","Volume of water pumped in week 25 of 2014" +"waterpumpkwale","weeklyvol2014","26","double","Volume of water pumped in week 26 of 2014" +"waterpumpkwale","weeklyvol2014","27","double","Volume of water pumped in week 27 of 2014" +"waterpumpkwale","weeklyvol2014","28","double","Volume of water pumped in week 28 of 2014" +"waterpumpkwale","weeklyvol2014","29","double","Volume of water pumped in week 29 of 2014" +"waterpumpkwale","weeklyvol2014","30","double","Volume of water pumped in week 30 of 2014" +"waterpumpkwale","weeklyvol2014","31","double","Volume of water pumped in week 31 of 2014" +"waterpumpkwale","weeklyvol2014","32","double","Volume of water pumped in week 32 of 2014" +"waterpumpkwale","weeklyvol2014","33","double","Volume of water pumped in week 33 of 2014" +"waterpumpkwale","weeklyvol2014","34","double","Volume of water pumped in week 34 of 2014" +"waterpumpkwale","weeklyvol2014","35","double","Volume of water pumped in week 35 of 2014" +"waterpumpkwale","weeklyvol2014","36","double","Volume of water pumped in week 36 of 2014" +"waterpumpkwale","weeklyvol2014","37","double","Volume of water pumped in week 37 of 2014" +"waterpumpkwale","weeklyvol2014","38","double","Volume of water pumped in week 38 of 2014" +"waterpumpkwale","weeklyvol2014","39","double","Volume of water pumped in week 39 of 2014" +"waterpumpkwale","weeklyvol2014","40","double","Volume of water pumped in week 40 of 2014" +"waterpumpkwale","weeklyvol2014","41","double","Volume of water pumped in week 41 of 2014" +"waterpumpkwale","weeklyvol2014","42","double","Volume of water pumped in week 42 of 2014" +"waterpumpkwale","weeklyvol2014","43","double","Volume of water pumped in week 43 of 2014" +"waterpumpkwale","weeklyvol2014","44","double","Volume of water pumped in week 44 of 2014" +"waterpumpkwale","weeklyvol2014","45","double","Volume of water pumped in week 45 of 2014" +"waterpumpkwale","weeklyvol2014","46","double","Volume of water pumped in week 46 of 2014" +"waterpumpkwale","weeklyvol2014","47","double","Volume of water pumped in week 47 of 2014" +"waterpumpkwale","weeklyvol2014","48","double","Volume of water pumped in week 48 of 2014" +"waterpumpkwale","weeklyvol2014","49","double","Volume of water pumped in week 49 of 2014" +"waterpumpkwale","weeklyvol2014","50","double","Volume of water pumped in week 50 of 2014" +"waterpumpkwale","weeklyvol2014","51","double","Volume of water pumped in week 51 of 2014" +"waterpumpkwale","weeklyvol2014","52","double","Volume of water pumped in week 52 of 2014" "waterpumpkwale","weeklyvol2015","pumpid","character","ID number of the water pump" -"waterpumpkwale","weeklyvol2015","n","double","Each column indicates the week number 1, 2, 3, ..., 52" -"worldhdi","worldhdi","hdi_rank","double","World Rank in Human Development Index as of 2022" -"worldhdi","worldhdi","country","double","Official name of the country" +"waterpumpkwale","weeklyvol2015","1","double","Volume of water pumped in week 1 of 2015" +"waterpumpkwale","weeklyvol2015","2","double","Volume of water pumped in week 2 of 2015" +"waterpumpkwale","weeklyvol2015","3","double","Volume of water pumped in week 3 of 2015" +"waterpumpkwale","weeklyvol2015","4","double","Volume of water pumped in week 4 of 2015" +"waterpumpkwale","weeklyvol2015","5","double","Volume of water pumped in week 5 of 2015" +"waterpumpkwale","weeklyvol2015","6","double","Volume of water pumped in week 6 of 2015" +"waterpumpkwale","weeklyvol2015","7","double","Volume of water pumped in week 7 of 2015" +"waterpumpkwale","weeklyvol2015","8","double","Volume of water pumped in week 8 of 2015" +"waterpumpkwale","weeklyvol2015","9","double","Volume of water pumped in week 9 of 2015" +"waterpumpkwale","weeklyvol2015","10","double","Volume of water pumped in week 10 of 2015" +"waterpumpkwale","weeklyvol2015","11","double","Volume of water pumped in week 11 of 2015" +"waterpumpkwale","weeklyvol2015","12","double","Volume of water pumped in week 12 of 2015" +"waterpumpkwale","weeklyvol2015","13","double","Volume of water pumped in week 13 of 2015" +"waterpumpkwale","weeklyvol2015","14","double","Volume of water pumped in week 14 of 2015" +"waterpumpkwale","weeklyvol2015","15","double","Volume of water pumped in week 15 of 2015" +"waterpumpkwale","weeklyvol2015","16","double","Volume of water pumped in week 16 of 2015" +"waterpumpkwale","weeklyvol2015","17","double","Volume of water pumped in week 17 of 2015" +"waterpumpkwale","weeklyvol2015","18","double","Volume of water pumped in week 18 of 2015" +"waterpumpkwale","weeklyvol2015","19","double","Volume of water pumped in week 19 of 2015" +"waterpumpkwale","weeklyvol2015","20","double","Volume of water pumped in week 20 of 2015" +"waterpumpkwale","weeklyvol2015","21","double","Volume of water pumped in week 21 of 2015" +"waterpumpkwale","weeklyvol2015","22","double","Volume of water pumped in week 22 of 2015" +"waterpumpkwale","weeklyvol2015","23","double","Volume of water pumped in week 23 of 2015" +"waterpumpkwale","weeklyvol2015","24","double","Volume of water pumped in week 24 of 2015" +"waterpumpkwale","weeklyvol2015","25","double","Volume of water pumped in week 25 of 2015" +"waterpumpkwale","weeklyvol2015","26","double","Volume of water pumped in week 26 of 2015" +"waterpumpkwale","weeklyvol2015","27","double","Volume of water pumped in week 27 of 2015" +"waterpumpkwale","weeklyvol2015","28","double","Volume of water pumped in week 28 of 2015" +"waterpumpkwale","weeklyvol2015","29","double","Volume of water pumped in week 29 of 2015" +"waterpumpkwale","weeklyvol2015","30","double","Volume of water pumped in week 30 of 2015" +"waterpumpkwale","weeklyvol2015","31","double","Volume of water pumped in week 31 of 2015" +"waterpumpkwale","weeklyvol2015","32","double","Volume of water pumped in week 32 of 2015" +"waterpumpkwale","weeklyvol2015","33","double","Volume of water pumped in week 33 of 2015" +"waterpumpkwale","weeklyvol2015","34","double","Volume of water pumped in week 34 of 2015" +"waterpumpkwale","weeklyvol2015","35","double","Volume of water pumped in week 35 of 2015" +"waterpumpkwale","weeklyvol2015","36","double","Volume of water pumped in week 36 of 2015" +"waterpumpkwale","weeklyvol2015","37","double","Volume of water pumped in week 37 of 2015" +"waterpumpkwale","weeklyvol2015","38","double","Volume of water pumped in week 38 of 2015" +"waterpumpkwale","weeklyvol2015","39","double","Volume of water pumped in week 39 of 2015" +"waterpumpkwale","weeklyvol2015","40","double","Volume of water pumped in week 40 of 2015" +"waterpumpkwale","weeklyvol2015","41","double","Volume of water pumped in week 41 of 2015" +"waterpumpkwale","weeklyvol2015","42","double","Volume of water pumped in week 42 of 2015" +"waterpumpkwale","weeklyvol2015","43","double","Volume of water pumped in week 43 of 2015" +"waterpumpkwale","weeklyvol2015","44","double","Volume of water pumped in week 44 of 2015" +"waterpumpkwale","weeklyvol2015","45","double","Volume of water pumped in week 45 of 2015" +"waterpumpkwale","weeklyvol2015","46","double","Volume of water pumped in week 46 of 2015" +"waterpumpkwale","weeklyvol2015","47","double","Volume of water pumped in week 47 of 2015" +"waterpumpkwale","weeklyvol2015","48","double","Volume of water pumped in week 48 of 2015" +"waterpumpkwale","weeklyvol2015","49","double","Volume of water pumped in week 49 of 2015" +"waterpumpkwale","weeklyvol2015","50","double","Volume of water pumped in week 50 of 2015" +"waterpumpkwale","weeklyvol2015","51","double","Volume of water pumped in week 51 of 2015" +"waterpumpkwale","weeklyvol2015","52","double","Volume of water pumped in week 52 of 2015" +"worldhdi","worldhdi","hdi_rank","double","World rank in the Human Development Index as of 2022" +"worldhdi","worldhdi","country","character","Name of the country, territory or UNDP aggregate" "worldhdi","worldhdi","hdi_1990","double","HDI in 1990" "worldhdi","worldhdi","hdi_2000","double","HDI in 2000" "worldhdi","worldhdi","hdi_2010","double","HDI in 2010" @@ -2790,10 +2648,10 @@ "worldhdi","worldhdi","hdi_2020","double","HDI in 2020" "worldhdi","worldhdi","hdi_2021","double","HDI in 2021" "worldhdi","worldhdi","hdi_2022","double","HDI in 2022" -"worldhdi","worldhdi","rank_change_2015_2022","double","Change in rank from 2015 to 2022" -"worldhdi","worldhdi","avg_growth_1990_2000","double","Average annual growth in country's HDI between 1990-2000" -"worldhdi","worldhdi","avg_growth_2000_2010","double","Average annual growth in country's HDI between 2000-2010" -"worldhdi","worldhdi","avg_growth_2010_2022","double","Average annual growth in country's HDI between 2010-2022" -"worldhdi","worldhdi","avg_growth_1990_2022","double","Average annual growth in country's HDI between 1990-2022" -"worldhdi","worldhdi","tier_hdi","character","HDI Tier as defined by UNDP {Very high [0.8-1.0), High [0.7 - 0.8), Medium [0.55-0.7), Low (<0.55)}" -"worldhdi","worldhdi","iso3c","character","ISO3 code for the country" +"worldhdi","worldhdi","rank_change_2015_2022","double","Change in HDI rank from 2015 to 2022" +"worldhdi","worldhdi","avg_growth_1990_2000","double","Average annual HDI growth between 1990 and 2000, in percent" +"worldhdi","worldhdi","avg_growth_2000_2010","double","Average annual HDI growth between 2000 and 2010, in percent" +"worldhdi","worldhdi","avg_growth_2010_2022","double","Average annual HDI growth between 2010 and 2022, in percent" +"worldhdi","worldhdi","avg_growth_1990_2022","double","Average annual HDI growth between 1990 and 2022, in percent" +"worldhdi","worldhdi","tier_hdi","character","HDI tier in 2022 as defined by UNDP: Very High (0.800 and above), High (0.700 to 0.799), Medium (0.550 to 0.699), Low (below 0.550)" +"worldhdi","worldhdi","iso3c","character","ISO 3166-1 alpha-3 country code; missing for the aggregates"