{"repo":"J535D165/datahugger","free":true,"listed":false,"github":"https://github.com/J535D165/datahugger","clone":"git clone https://github.com/J535D165/datahugger.git","description":"One downloader for many scientific data and code repositories! DOI :open_hands: Data","language":"Python","stars":91,"topics":["scientific","scientific-data","cli","data","dataverse","dryad","figshare","github","python","repository"],"license":"MIT","category":"cli-tools","readme_excerpt":"Datahugger - Where DOI :open hands: Data Datahugger is a tool to download scientific datasets, software, and code from a large number of repositories based on their DOI (wiki) or URL. With Datahugger, you can automate the downloading of data and improve the reproducibility of your research. Datahugger provides a straightforward Python interface as well as an intuitive Command Line Interface (CLI). Supported repositories Datahugger offers support for more than 377 generic and specific (scientific) repositories (and more to come!). We are still expanding Datahugger with support for more repositories. You can help by requesting support for a repository in the issue tracker. Pull Requests are very welcome as well. Installation Datahugger requires Python 3.6 or later. Getting started Datahugger with Python Load a dataset (or any digital asset) from a repository with the datahugger.get() function. The first argument is the DOI or URL, and the second is the folder name to store the dataset (it will be created if it does not exist). The following code loads dataset 10.5061/dryad.mj8m0 into the folder data . For an example of how this can integrate with your work, see the example workflow notebook or Datahugger with command line The command line function datahugger provides an easy interface to download data. The first argument is the DOI or URL, and the second argument is the name of the folder to store the dataset (will be created if it does not exist). Tip: On some systems, you hav","default_branch":null,"files":null,"tree":[],"storefront":"/r/J535D165","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/J535D165/datahugger/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}