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  "Package": "owdata",
  "Title": "Index of openwashdata R Data Packages",
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  "Description": "Index metapackage for the openwashdata R data packages.\nShips a harvested catalog of every package in the openwashdata\nGitHub organisation, with its datasets and variables, as\ninternal data behind accessor and search functions, and\ninstalls any listed package from the openwashdata R-universe.\nThe catalog is refreshed by a weekly harvest.",
  "License": "CC BY 4.0",
  "URL": "https://openwashdata.github.io/owdata/,\nhttps://github.com/openwashdata/owdata",
  "Encoding": "UTF-8",
  "Roxygen": "list(markdown = TRUE)",
  "Config/testthat/edition": "3",
  "Language": "en-GB",
  "Config/Needs/website": "rmarkdown, brand.yml",
  "Date": "2026-11-02",
  "BugReports": "https://github.com/openwashdata/owdata/issues",
  "Config/Needs/harvest": "desc, cffr, gh, jsonlite",
  "Config/roxygen2/version": "8.1.1",
  "Config/washr/funding": "This project was funded by the [Open Research\nData Program of the ETH\nBoard](https://ethrat.ch/en/eth-domain/open-research-data/).",
  "Config/washr/analytics-domain": "openwashdata.github.io",
  "Config/washr/doi-provider": "zenodo",
  "Config/washr/zenodo-community": "openwashdata",
  "Config/washr/brand-source": "openwashdata/brand",
  "Config/washr/publisher": "Published by\n[openwashdata](https://openwashdata.org), a project of [Global\nHealth Engineering](https://ghe.ethz.ch/) at ETH Zurich.",
  "Config/washr/home": "https://openwashdata.org",
  "Config/washr/catalog": "https://openwashdata.org/pages/gallery/data/",
  "Config/washr/community": "This package is part of\n[openwashdata](https://openwashdata.org). Browse the [data\ncatalogue](https://openwashdata.org/pages/gallery/data/) or get\nthe [newsletter](https://openwashdata.org/pages/newsletter/).",
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  "Maintainer": "Lars Schöbitz <lschoebitz@ethz.ch>",
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  "_published": "2026-11-02T18:57:30.690Z",
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    "linkedin": "in/larsschoebitz",
    "description": "I am an environmental engineer at heart and by trade. I work in the global water, sanitation and health (WASH) sector and teach Data Science with R.",
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