Weekly catalog harvest

DESCRIPTION

@@ -1,6 +1,6 @@
 Package: owdata
 Title: Index of openwashdata R Data Packages
-Version: 0.1.0.9000
+Version: 0.1.0.9001
 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: 2026-10-26
+Date: 2026-11-02
 BugReports: https://github.com/openwashdata/owdata/issues
 Config/Needs/harvest: desc, cffr, gh, jsonlite
 Depends: 

data-raw/harvest_report.md

@@ -1,30 +1,12 @@
 # Harvest report
 
-Run: 2026-10-26T08:37:01Z (backend: github)
+Run: 2026-11-02T10:35:55Z (backend: github)
 
-Packages: 60 (50 published). Datasets: 78. Variables: 2716.
+Packages: 61 (50 published). Datasets: 78. Variables: 2716.
 
 ## Deltas since previous committed run
 
-- 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
+- NA rate for doi rose from 17% to 18%
 
 ## Problems
 

inst/extdata/owd_datasets.csv

@@ -27,7 +27,7 @@
 "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"
+"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/main/inst/extdata/floodchlorinationsurvey.csv","https://raw.githubusercontent.com/openwashdata/floodchlorinationsurvey/main/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"