Dataset Open Access

PUDL Data Release v2.0.0

Selvans, Zane A.; Gosnell, Christina M.; Sharpe, Austen; Winter, Steven; Welty, Ethan; Rousik, Jan


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    "description": "<p><strong>PUDL Data Release 2.0.0</strong></p>\n\n<p>This is a data release from the <a href=\"https://catalyst.coop/pudl\">Public Utility Data Liberation (PUDL) project</a>.</p>\n\n<ul>\n\t<li><a href=\"https://github.com/catalyst-cooperative/pudl\">GitHub repository</a> for the software used to generate this data.</li>\n\t<li><a href=\"https://zenodo.org/record/5207986\">Zenodo archive</a> of the particular version (v0.4.0) of the software that went into this release. For use in citations &amp; long-term accessibility you can use this doi: <a href=\"https://doi.org/10.5281/zenodo.5207986\">https://doi.org/10.5281/zenodo.5207986</a></li>\n\t<li><a href=\"https://catalystcoop-pudl.readthedocs.io/en/v0.4.0/\">Documentation</a> and <a href=\"https://catalystcoop-pudl.readthedocs.io/en/v0.4.0/release_notes.html#id1\">release notes</a> for the software and data.</li>\n\t<li>The software can be installed via the <a href=\"https://pypi.org/project/catalystcoop.pudl/0.4.0/\">Python Package Index (PyPI)</a> or <a href=\"https://anaconda.org/conda-forge/catalystcoop.pudl\">from conda-forge</a>.</li>\n</ul>\n\n<p><strong>Using This Data</strong></p>\n\n<p>The data in this archive is stored in a combination of SQLite database files, and Apache Parquet datasets. It can be used as a standalone resource, or in conjunction with the PUDL software. The PUDL documentation contains <a href=\"https://catalystcoop-pudl.readthedocs.io/en/v0.4.0/data_dictionaries/index.html\">data dictionaries</a> for many of the data tables.</p>\n\n<p>If you want to use the data in conjunction with the PUDL software, we&#39;ve included a Docker image within the archive that will run a Jupyter Notebook Server containing examples of use based on our <a href=\"https://github.com/catalyst-cooperative/pudl-examples/\">PUDL Examples repository</a>. This Docker image contains all of the required software, and can access the associated archived data.</p>\n\n<p>Make sure that you&#39;ve <a href=\"https://docs.docker.com/get-docker/\">got Docker installed and running</a>, and also have <a href=\"https://docs.docker.com/compose/install/\">docker-compose</a>. You&#39;ll want to allocate at least 8GB of memory to Docker.</p>\n\n<p>To use the Docker container to access and work with the data, download and extract the compressed tar archive on you computer.</p>\n\n<p>Inside the directory that is created when you extract the archive, you will find a Docker image. Load that image into your Docker environment locally with: &nbsp;</p>\n\n<pre><code class=\"language-bash\">docker load -i pudl-jupyter.tar</code></pre>\n\n<p>Then within that same directory, run:</p>\n\n<pre><code class=\"language-bash\">docker-compose up</code></pre>\n\n<p>This should start a Jupyter Notebook Server, and provide you with a link to connect to the server running on your local computer, beginning with&nbsp;<code>https://127.0.0.1:48512 or&nbsp;https://localhost:48512</code></p>\n\n<p>You can select the tutorial notebooks from within the notebook interface. The README file contained in the archive and the <a href=\"https://github.com/catalyst-cooperative/pudl-examples/\">PUDL Examples</a> repository both provide more details on how to access and work with the data.</p>\n\n<p><strong>Contact Us</strong></p>\n\n<p>If you&#39;re using PUDL, we would love to hear from you! Even if it&#39;s just a note to let us know that you exist, and how you&#39;re using the software or data. You can also:</p>\n\n<ul>\n\t<li>Subscribe to our announcements list for <a href=\"https://catalyst.coop/updates\">email updates</a>.</li>\n\t<li>Use the <a href=\"https://github.com/catalyst-cooperative/pudl/issues\">Github issue tracker</a> to file bugs, suggest improvements, or ask for help.</li>\n\t<li>Email the project team at <a href=\"mailto:pudl@catalyst.coop\">pudl@catalyst.coop</a> for private communications.</li>\n\t<li>Follow <a href=\"https://twitter.com/CatalystCoop\">@CatalystCoop</a> on Twitter.</li>\n</ul>", 
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        "affiliation": "Carbon Impact Consulting", 
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        "affiliation": "Carnegie Mellon University", 
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