From 623165ad838a90264c6aca7814b4e242185b37ac Mon Sep 17 00:00:00 2001
From: larnsce <18212549+larnsce@users.noreply.github.com>
Date: Mon, 21 Sep 2026 08:46:33 +0000
Subject: [PATCH] chore: weekly catalog harvest

---
 DESCRIPTION                    |   4 +--
 R/sysdata.rda                  | Bin 55144 -> 55324 bytes
 data-raw/harvest_report.md     |   4 +--
 inst/extdata/owd_datasets.csv  |  10 +++---
 inst/extdata/owd_packages.csv  |  24 ++++++-------
 inst/extdata/owd_variables.csv |  64 ++++++++++++++++++++++++++++-----
 6 files changed, 78 insertions(+), 28 deletions(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index 45ea228..94ea0c4 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: 2026-09-21
 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 b2f8bf6bc4f75ccf3a011e70044f81564a7befd6..754f512895b24ed8ff08f0918891cfe1398967e2 100644
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diff --git a/data-raw/harvest_report.md b/data-raw/harvest_report.md
index 0e0b6b2..71063f4 100644
--- a/data-raw/harvest_report.md
+++ b/data-raw/harvest_report.md
@@ -1,8 +1,8 @@
 # Harvest report
 
-Run: 2026-09-09T14:03:57Z (backend: github)
+Run: 2026-09-21T08:46:30Z (backend: github)
 
-Packages: 64 (32 published). Datasets: 53. Variables: 2798.
+Packages: 64 (32 published). Datasets: 55. Variables: 2846.
 
 ## Deltas since previous committed run
 
diff --git a/inst/extdata/owd_datasets.csv b/inst/extdata/owd_datasets.csv
index 3a42a7b..cc1e17b 100644
--- a/inst/extdata/owd_datasets.csv
+++ b/inst/extdata/owd_datasets.csv
@@ -1,6 +1,6 @@
 "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"
+"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"
@@ -42,9 +42,11 @@
 "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",
 "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"
+"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","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"
diff --git a/inst/extdata/owd_packages.csv b/inst/extdata/owd_packages.csv
index f9ce164..e9c8912 100644
--- a/inst/extdata/owd_packages.csv
+++ b/inst/extdata/owd_packages.csv
@@ -1,20 +1,20 @@
 "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",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",2023-08-09,2026-09-18,"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",2023-08-28,"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
+"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","main",2025-08-06,2026-09-18,"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
+"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",2023-10-25,2026-09-18,,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
+"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",2023-10-25,2026-09-18,"container-based-sanitation, ghana, open-data, openwashdata, r, sanitation",TRUE,TRUE,,,,TRUE,FALSE,FALSE
 "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 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","main",2025-08-07,2026-09-18,"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","main",2025-04-08,2026-09-18,"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",2023-06-28,2026-09-18,,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
@@ -24,7 +24,7 @@
 "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
 "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
+"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",2025-01-28,2026-09-16,,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
@@ -40,7 +40,7 @@
 "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
+"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).","1.0.1",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",2026-09-17,,,,"10.5281/zenodo.21519796","1.0.1","https://github.com/openwashdata/solidwastekampala","https://openwashdata.github.io/solidwastekampala/",1,"v1.0.1","main",2026-07-22,2026-09-17,,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
@@ -50,7 +50,7 @@
 "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
 "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
+"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
 "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
 "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
diff --git a/inst/extdata/owd_variables.csv b/inst/extdata/owd_variables.csv
index b66cd84..7652b1b 100644
--- a/inst/extdata/owd_variables.csv
+++ b/inst/extdata/owd_variables.csv
@@ -2610,6 +2610,33 @@
 "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 +2652,10 @@
 "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 +2682,14 @@
 "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)"
@@ -2685,20 +2708,45 @@
 "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)"
+"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","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."