Grow structured, organised, and FAIR data
-
Updated
Feb 9, 2026 - Python
Grow structured, organised, and FAIR data
Ensure the compliance of your Data Package metadata
An opinionated template for Data Packages built with Seedcase packages.
Serves up data of Federally managed fish stocks from StockSMART web portal
Data Package with Nationally Determined Contributions (NDCs)
R package with classes and helper functions for working with epidemiological parameters and access to a library of epidemiological parameters for infectious diseases
Access national high-quality and open-access datasets on movement patterns derived from mobile telephone datasets / Accede y usa datos nacionales abiertos sobre movimientos basados en teléfonos móviles.
A data package for reporting on Northeast Continental Shelf ecosystem status and trends.
Database of epidemiological parameters
Packata is a library for consuming Data Package v2 files, enabling seamless access to their referenced data. It supports unpacking, schema validation, and metadata inspection. With a focus on user-friendliness, Packata ensures full compliance with the Data Package specification, making it an essential tool for developers and analysts.
Loads a suite of R packages for creating and manipulating data packages including interacting with DataStore.
Harmonizing census geographic boundaries and data tables in Korea
Data Package of entry into force status of the Kigali Amendment to the Montreal Protocol
pcs: An R package for querying race results and rider data from ProCyclingStats.com
An SMS-based service for children, built with Django. Enables unlimited calling to selected numbers and prepaid data purchase via SMS commands.
Data for cherry blossom status at the Brooklyn Botanic Garden
NAIF Earth Body-fixed Reference Frame/Body Association Kernel for SPICE
NAIF Historical Earth Orientation Parameters Kernel for SPICE
NAIF Longterm Prediction Earth Orientation Parameters Kernel for SPICE
Add a description, image, and links to the data-package topic page so that developers can more easily learn about it.
To associate your repository with the data-package topic, visit your repo's landing page and select "manage topics."