<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>larnsce.r-universe.dev</title><link>https://larnsce.r-universe.dev</link><description>Recent package updates in larnsce</description><generator>R-universe</generator><image><url>https://github.com/larnsce.png</url><title>R packages by larnsce</title><link>https://larnsce.r-universe.dev</link></image><lastBuildDate>Sat, 03 Oct 2026 12:58:05 GMT</lastBuildDate><item><title>[openwashdata] fslogisticskampala 1.0.0</title><author>lars@lse.de (Lars Schöbitz)</author><description>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.</description><link>https://github.com/r-universe/openwashdata/actions/runs/37126817797</link><pubDate>Sat, 03 Oct 2026 12:58:05 GMT</pubDate><r:package>fslogisticskampala</r:package><r:version>1.0.0</r:version><r:status>success</r:status><r:repository>https://openwashdata.r-universe.dev</r:repository><r:upstream>https://github.com/openwashdata/fslogisticskampala</r:upstream></item><item><title>[openwashdata] solidwastekampala 1.0.2</title><author>lars@lse.de (Lars Schöbitz)</author><description>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 &quot;Quantity and composition of domestic solid waste in
Kampala City as influenced by socioeconomic factors&quot; (Katukiza
et al. 2026, Frontiers in Environmental Science,
&lt;doi:10.3389/fenvs.2026.1889921&gt;).</description><link>https://github.com/r-universe/openwashdata/actions/runs/37126828257</link><pubDate>Sat, 03 Oct 2026 12:58:01 GMT</pubDate><r:package>solidwastekampala</r:package><r:version>1.0.2</r:version><r:status>success</r:status><r:repository>https://openwashdata.r-universe.dev</r:repository><r:upstream>https://github.com/openwashdata/solidwastekampala</r:upstream></item><item><title>[openwashdata] washinvestments 0.0.2</title><author>lschoebitz@ethz.ch (Lars Schöbitz)</author><description>Dataset on multilateral development bank (MDB) investment
in water supply and sanitation: 1,872 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.</description><link>https://github.com/r-universe/openwashdata/actions/runs/37126842235</link><pubDate>Sat, 03 Oct 2026 12:57:15 GMT</pubDate><r:package>washinvestments</r:package><r:version>0.0.2</r:version><r:status>success</r:status><r:repository>https://openwashdata.r-universe.dev</r:repository><r:upstream>https://github.com/openwashdata/washinvestments</r:upstream></item><item><title>[openwashdata] unhcrwash 1.1.1</title><author>lschoebitz@ethz.ch (Lars Schöbitz)</author><description>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.</description><link>https://github.com/r-universe/openwashdata/actions/runs/37126838903</link><pubDate>Sat, 03 Oct 2026 12:57:12 GMT</pubDate><r:package>unhcrwash</r:package><r:version>1.1.1</r:version><r:status>success</r:status><r:repository>https://openwashdata.r-universe.dev</r:repository><r:upstream>https://github.com/openwashdata/unhcrwash</r:upstream></item><item><title>[openwashdata] undpcomposite 1.0.2</title><author>lschoebitz@ethz.ch (Lars Schöbitz)</author><description>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.</description><link>https://github.com/r-universe/openwashdata/actions/runs/37126832299</link><pubDate>Sat, 03 Oct 2026 12:56:15 GMT</pubDate><r:package>undpcomposite</r:package><r:version>1.0.2</r:version><r:status>success</r:status><r:repository>https://openwashdata.r-universe.dev</r:repository><r:upstream>https://github.com/openwashdata/undpcomposite</r:upstream></item><item><title>[openwashdata] wasteskipsblantyre 0.1.0</title><author>lschoebitz@ethz.ch (Lars Schöbitz)</author><description>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).</description><link>https://github.com/r-universe/openwashdata/actions/runs/35985976828</link><pubDate>Thu, 24 Sep 2026 06:58:08 GMT</pubDate><r:package>wasteskipsblantyre</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://openwashdata.r-universe.dev</r:repository><r:upstream>https://github.com/openwashdata/wasteskipsblantyre</r:upstream></item><item><title>[openwashdata] rwpfunctionality 0.0.1</title><author>lschoebitz@ethz.ch (Lars Schöbitz)</author><description>Water point monitoring data associated with the paper
&quot;[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)&quot;
(Murray, Anna L et al., 2024).</description><link>https://github.com/r-universe/openwashdata/actions/runs/35985973655</link><pubDate>Thu, 24 Sep 2026 05:24:06 GMT</pubDate><r:package>rwpfunctionality</r:package><r:version>0.0.1</r:version><r:status>success</r:status><r:repository>https://openwashdata.r-universe.dev</r:repository><r:upstream>https://github.com/openwashdata/rwpfunctionality</r:upstream></item><item><title>[openwashdata] cbssuitabilityhaiti 0.0.1</title><author>lschoebitz@ethz.ch (Lars Schöbitz)</author><description>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.</description><link>https://github.com/r-universe/openwashdata/actions/runs/38133703689</link><pubDate>Thu, 24 Sep 2026 05:23:56 GMT</pubDate><r:package>cbssuitabilityhaiti</r:package><r:version>0.0.1</r:version><r:status>success</r:status><r:repository>https://openwashdata.r-universe.dev</r:repository><r:upstream>https://github.com/openwashdata/cbssuitabilityhaiti</r:upstream></item><item><title>[openwashdata] glossarywho 1.0.2</title><author>lschoebitz@ethz.ch (Lars Schöbitz)</author><description>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.</description><link>https://github.com/r-universe/openwashdata/actions/runs/37770771353</link><pubDate>Thu, 24 Sep 2026 05:05:40 GMT</pubDate><r:package>glossarywho</r:package><r:version>1.0.2</r:version><r:status>success</r:status><r:repository>https://openwashdata.r-universe.dev</r:repository><r:upstream>https://github.com/openwashdata/glossarywho</r:upstream><r:article><r:source>Themes.Rmd</r:source><r:filename>Themes.html</r:filename><r:title>Themes</r:title><r:created>2025-02-03 10:14:01</r:created><r:modified>2026-09-24 04:30:08</r:modified></r:article></item><item><title>[openwashdata] planetaryhdi 0.1.1</title><author>lschoebitz@ethz.ch (Lars Schöbitz)</author><description>Provides data on Planetary Pressures Adjusted Human
Development, adjusted by carbon emissions per capita
(production related) and materials footprint per capita.</description><link>https://github.com/r-universe/openwashdata/actions/runs/35958865843</link><pubDate>Thu, 24 Sep 2026 05:05:35 GMT</pubDate><r:package>planetaryhdi</r:package><r:version>0.1.1</r:version><r:status>success</r:status><r:repository>https://openwashdata.r-universe.dev</r:repository><r:upstream>https://github.com/openwashdata/planetaryhdi</r:upstream></item><item><title>[openwashdata] choleramalawi 1.0.1</title><author>lschoebitz@ethz.ch (Lars Schöbitz)</author><description>A dataset that tracks the progress of the cholera epidemic
in each district of Malawi in 2022-23.</description><link>https://github.com/r-universe/openwashdata/actions/runs/35958851296</link><pubDate>Thu, 24 Sep 2026 05:05:31 GMT</pubDate><r:package>choleramalawi</r:package><r:version>1.0.1</r:version><r:status>success</r:status><r:repository>https://openwashdata.r-universe.dev</r:repository><r:upstream>https://github.com/openwashdata/choleramalawi</r:upstream></item><item><title>[openwashdata] breathablepitlat 1.0.1</title><author>lschoebitz@ethz.ch (Lars Schöbitz)</author><description>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.</description><link>https://github.com/r-universe/openwashdata/actions/runs/35958844954</link><pubDate>Thu, 24 Sep 2026 05:05:27 GMT</pubDate><r:package>breathablepitlat</r:package><r:version>1.0.1</r:version><r:status>success</r:status><r:repository>https://openwashdata.r-universe.dev</r:repository><r:upstream>https://github.com/openwashdata/breathablepitlat</r:upstream></item><item><title>[openwashdata] watercostaccra 0.0.0.9000</title><author>lschoebitz@ethz.ch (Lars Schöbitz)</author><description>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.</description><link>https://github.com/r-universe/openwashdata/actions/runs/35958896308</link><pubDate>Thu, 24 Sep 2026 05:00:58 GMT</pubDate><r:package>watercostaccra</r:package><r:version>0.0.0.9000</r:version><r:status>success</r:status><r:repository>https://openwashdata.r-universe.dev</r:repository><r:upstream>https://github.com/openwashdata/watercostaccra</r:upstream></item><item><title>[openwashdata] ugabore 0.0.1</title><author>lschoebitz@ethz.ch (Lars Schöbitz)</author><description>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.</description><link>https://github.com/r-universe/openwashdata/actions/runs/38133343353</link><pubDate>Thu, 24 Sep 2026 05:00:53 GMT</pubDate><r:package>ugabore</r:package><r:version>0.0.1</r:version><r:status>success</r:status><r:repository>https://openwashdata.r-universe.dev</r:repository><r:upstream>https://github.com/openwashdata/ugabore</r:upstream></item><item><title>[openwashdata] saniabidjan 0.0.1</title><author>lschoebitz@ethz.ch (Lars Schöbitz)</author><description>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.</description><link>https://github.com/r-universe/openwashdata/actions/runs/35958875779</link><pubDate>Thu, 24 Sep 2026 04:55:58 GMT</pubDate><r:package>saniabidjan</r:package><r:version>0.0.1</r:version><r:status>success</r:status><r:repository>https://openwashdata.r-universe.dev</r:repository><r:upstream>https://github.com/openwashdata/saniabidjan</r:upstream></item><item><title>[openwashdata] waterpumpkwale 0.0.1</title><author>lschoebitz@ethz.ch (Lars Schöbitz)</author><description>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.</description><link>https://github.com/r-universe/openwashdata/actions/runs/35958899237</link><pubDate>Thu, 24 Sep 2026 04:50:27 GMT</pubDate><r:package>waterpumpkwale</r:package><r:version>0.0.1</r:version><r:status>success</r:status><r:repository>https://openwashdata.r-universe.dev</r:repository><r:upstream>https://github.com/openwashdata/waterpumpkwale</r:upstream></item><item><title>[openwashdata] worldhdi 1.0.2</title><author>lschoebitz@ethz.ch (Lars Schöbitz)</author><description>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.</description><link>https://github.com/r-universe/openwashdata/actions/runs/35958902878</link><pubDate>Thu, 24 Sep 2026 04:47:09 GMT</pubDate><r:package>worldhdi</r:package><r:version>1.0.2</r:version><r:status>success</r:status><r:repository>https://openwashdata.r-universe.dev</r:repository><r:upstream>https://github.com/openwashdata/worldhdi</r:upstream></item><item><title>[openwashdata] fsmglobal 0.0.1</title><author>lschoebitz@ethz.ch (Lars Schöbitz)</author><description>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.</description><link>https://github.com/r-universe/openwashdata/actions/runs/35958856825</link><pubDate>Thu, 24 Sep 2026 04:30:01 GMT</pubDate><r:package>fsmglobal</r:package><r:version>0.0.1</r:version><r:status>success</r:status><r:repository>https://openwashdata.r-universe.dev</r:repository><r:upstream>https://github.com/openwashdata/fsmglobal</r:upstream></item><item><title>[openwashdata] washr 1.1.1</title><author>lschoebitz@ethz.ch (Lars Schöbitz)</author><description>A toolkit to set up an R data package in a consistent
structure. Automates tasks like tidy data export, data
dictionary documentation, README and website creation, and
citation management.</description><link>https://github.com/r-universe/openwashdata/actions/runs/35228384724</link><pubDate>Thu, 17 Sep 2026 13:28:33 GMT</pubDate><r:package>washr</r:package><r:version>1.1.1</r:version><r:status>success</r:status><r:repository>https://openwashdata.r-universe.dev</r:repository><r:upstream>https://github.com/openwashdata/washr</r:upstream><r:article><r:source>washr.Rmd</r:source><r:filename>washr.html</r:filename><r:title>Get started with washr</r:title><r:created>2024-09-20 13:27:49</r:created><r:modified>2026-09-09 08:06:09</r:modified></r:article></item><item><title>[openwashdata] biogasoutcomesmalawi 0.0.1</title><author>lschoebitz@ethz.ch (Lars Schöbitz)</author><description>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.</description><link>https://github.com/r-universe/openwashdata/actions/runs/39012546773</link><pubDate>Thu, 17 Sep 2026 03:58:24 GMT</pubDate><r:package>biogasoutcomesmalawi</r:package><r:version>0.0.1</r:version><r:status>success</r:status><r:repository>https://openwashdata.r-universe.dev</r:repository><r:upstream>https://github.com/openwashdata/biogasoutcomesmalawi</r:upstream></item><item><title>[openwashdata] owdata 0.1.0</title><author>lschoebitz@ethz.ch (Lars Schöbitz)</author><description>Index metapackage for the openwashdata R data packages.
Ships a harvested catalog of every package in the openwashdata
GitHub organisation, with its datasets and variables, as
internal data behind accessor and search functions, and
installs any listed package from the openwashdata R-universe.
The catalog is refreshed by a weekly harvest.</description><link>https://github.com/r-universe/openwashdata/actions/runs/37917442092</link><pubDate>Wed, 09 Sep 2026 14:07:05 GMT</pubDate><r:package>owdata</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://openwashdata.r-universe.dev</r:repository><r:upstream>https://github.com/openwashdata/owdata</r:upstream></item></channel></rss>