Today we released our archive of data.gov on Source Cooperative. The 16TB collection includes over 311,000 datasets harvested during 2024 and 2025, a complete archive of federal public datasets linked by data.gov. It will be updated daily as new datasets are added to data.gov.
This is the first release in our new data vault project to preserve and authenticate vital public datasets for academic research, policymaking, and public use.
We’ve built this project on our long-standing commitment to preserving government records and making public information available to everyone. Libraries play an essential role in safeguarding the integrity of digital information. By preserving detailed metadata and establishing digital signatures for authenticity and provenance, we make it easier for researchers and the public to cite and access the information they need over time.
In addition to the data collection, we are releasing open source software and documentation for replicating our work and creating similar repositories. With these tools, we aim not only to preserve knowledge ourselves but also to empower others to save and access the data that matters to them.
For suggestions and collaboration on future releases, please contact us at publicdata@law.harvard.edu.
This project builds on our work with the Perma.cc web archiving tool used by courts, law journals, and law firms; the Caselaw Access Project, sharing all precedential cases of the United States; and our research on Century Scale Storage. This work is made possible with support from the Filecoin Foundation for the Decentralized Web and the Rockefeller Brothers Fund.
Linux running inside a PDF file via a RISC-V emulator - ading2210/linuxpdf
Desktop application for managing systemd services. Contribute to mfat/systemd-pilot development by creating an account on GitHub.
Generate audiobooks from e-books. Contribute to santinic/audiblez development by creating an account on GitHub.
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I'm working on a project which takes some images from user and then creates a PDF file which contains all of these images.
Is there any way or any tool to do this in Python? E.g. to create a PDF f...UPDATE (Mar. 26, 2010) Just realized I never posted the link to the PDF the code here generates: here it is. My bad. I've been doing a little reporting project, and I've been searching around for quite some time for a good graphing and charting solution for general-purpose use. I had come across ReportLab before,
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