Weekly catalog harvest

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: 

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
 

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"