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PUDL Data Release 3.0.0 This is a data release from the Public Utility Data Liberation (PUDL) project. GitHub repository for the software used to generate this data. Zenodo archive of the particular version (v0.5.0) of the software that went into this release. For use in citations & long-term accessibility you can use this doi: https://doi.org/10.5281/zenodo.5677623 Documentation and release notes for the software and data. The software can be installed via the Python Package Index (PyPI) or from conda-forge. Using This Data 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 data dictionaries for many of the data tables. If you want to use the data in conjunction with the PUDL software, we've included a Docker image within the archive that will run a Jupyter Notebook Server containing examples of use based on our PUDL Examples repository. This Docker image contains all of the required software, and can access the associated archived data. Make sure that you've got Docker installed and running, and also have docker-compose. You'll want to allocate at least 8GB of memory to Docker. To use the Docker container to access and work with the data, download and extract the compressed tar archive on you computer. 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: docker load -i pudl-jupyter.tar Then within that same directory, run: docker-compose up 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 https://127.0.0.1:48512 or https://localhost:48512 You can select the tutorial notebooks from within the notebook interface. The README file contained in the archive and the PUDL Examples repository both provide more details on how to access and work with the data. Contact Us If you're using PUDL, we would love to hear from you! Even if it's just a note to let us know that you exist, and how you're using the software or data. You can also: Subscribe to our announcements list for email updates. Use the Github issue tracker to file bugs, suggest improvements, or ask for help. Email the project team at pudl@catalyst.coop for private communications. Follow @CatalystCoop on Twitter.
EIA, Energy Information Administration, EIA 860, Environmental Protection Agency, utility, EPA CEMS, EPA, electricity, EIA 923, FERC, FERC Form 1, energy, Federal Energy Regulatory Commission
Twitter Data
EIA, Energy Information Administration, EIA 860, Environmental Protection Agency, utility, EPA CEMS, EPA, electricity, EIA 923, FERC, FERC Form 1, energy, Federal Energy Regulatory Commission
Twitter Data
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 37 | |
| downloads | 2 |

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