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and Hydrology Data Access","monthly_downloads":0,"total_dependent_repos":0,"total_dependent_packages":0,"readme":"# hddtools: Hydrological Data Discovery Tools\n\n\u003c!-- badges: start --\u003e\n[![DOI](https://zenodo.org/badge/22423032.svg)](https://zenodo.org/badge/latestdoi/22423032)\n[![status](https://joss.theoj.org/papers/10.21105/joss.00056/status.svg)](https://joss.theoj.org/papers/10.21105/joss.00056)\n\n[![CRAN Status\nBadge](http://www.r-pkg.org/badges/version/hddtools)](https://cran.r-project.org/package=hddtools)\n[![CRAN Total\nDownloads](http://cranlogs.r-pkg.org/badges/grand-total/hddtools)](https://cran.r-project.org/package=hddtools)\n[![CRAN Monthly\nDownloads](http://cranlogs.r-pkg.org/badges/hddtools)](https://cran.r-project.org/package=hddtools)\n\n[![R-CMD-check](https://github.com/ropensci/hddtools/workflows/R-CMD-check/badge.svg)](https://github.com/ropensci/hddtools/actions)\n[![codecov.io](https://codecov.io/github/ropensci/hddtools/coverage.svg?branch=master)](https://codecov.io/github/ropensci/hddtools?branch=master)\n[![](https://badges.ropensci.org/73_status.svg)](https://github.com/ropensci/software-review/issues/73)\n\u003c!-- badges: end --\u003e\n\n`hddtools` stands for Hydrological Data Discovery Tools. This R package\nis an open source project designed to facilitate access to a variety of\nonline open data sources relevant for hydrologists and, in general,\nenvironmental scientists and practitioners.\n\nThis typically implies the download of a metadata catalogue, selection\nof information needed, a formal request for dataset(s), de-compression,\nconversion, manual filtering and parsing. All those operations are made\nmore efficient by re-usable functions.\n\nDepending on the data license, functions can provide offline and/or\nonline modes. When redistribution is allowed, for instance, a copy of\nthe dataset is cached within the package and updated twice a year. This\nis the fastest option and also allows offline use of package’s\nfunctions. When re-distribution is not allowed, only online mode is\nprovided.\n\n## Installation\n\nGet the stable version from CRAN:\n\n``` r\ninstall.packages(\"hddtools\")\n```\n\nOr the development version from GitHub using the package `remotes`:\n\n``` r\ninstall.packages(\"remotes\")\nremotes::install_github(\"ropensci/hddtools\")\n```\n\nLoad the `hddtools` package:\n\n``` r\nlibrary(\"hddtools\")\n```\n\n## Data sources and Functions\n\nThe package contains functions to interact with the data providers\nlisted below. For examples of the various functionalities see the\n[vignette](https://github.com/ropensci/hddtools/blob/master/vignettes/hddtools_vignette.Rmd).\n\n  - [KGClimateClass](http://koeppen-geiger.vu-wien.ac.at/): The Koppen\n    Climate Classification map is used for classifying the world’s\n    climates based on the annual and monthly averages of temperature and\n    precipitation.\n\n  - [GRDC](http://www.bafg.de/GRDC/): The Global Runoff Data Centre\n    (GRDC) provides datasets for all the major rivers in the world.\n\n  - [Data60UK](http://tdwg.catchment.org/datasets.html): The Data60UK\n    initiative collated datasets of areal precipitation and streamflow\n    discharge across 61 gauging sites in England and Wales (UK).\n\n  - [MOPEX](http://tdwg.catchment.org/datasets.html): This dataset\n    contains historical hydrometeorological data and river basin\n    characteristics for hundreds of river basins in the US.\n\n  - [SEPA](https://www2.sepa.org.uk/WaterLevels/): The Scottish\n    Environment Protection Agency (SEPA) provides river level data for\n    hundreds of gauging stations in the UK.\n\n## Meta\n\n  - This package and functions herein are part of an experimental\n    open-source project. 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