Automate data retrieval and organization tasks with Retriever, an open-source software designed for scientists, finding, downloading, and organizing scientific datasets with ease.
Retriever is an open source software tool that automates the tasks of finding, downloading, and organizing scientific datasets. It allows researchers to easily get ready-to-analyze dataset files on their computer with standardized file formats and directory structures.
By handling the data retrieval and munging steps automatically, Retriever allows scientists to focus their time on analysis rather than data wrangling. It interfaces with over 50 major ecological and environmental datasets from repositories like DataOne, Dryad, Figshare, and USGS to provide easy installation of curated open data.
Retriever runs on Windows, OS X and Linux, integrates with popular analytical platforms like R and Python, and is scriptable to reproducibility simplify repetitive workflows. It is particularly useful for researchers working with large datasets spanning disparate sources and file types.
By standardizing and automating finding, cleaning and managing ecological data, Retriever lets scientists spend more time on analysis and discovery and less on data wrangling.
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