Search Hugging Face, Kaggle, Zenodo, data.gov and 72 more dataset archives from your terminal, merged into one ranked list without duplicates.
brew install lmarkmann/tap/dataseekmacOS and Linux. Installs dataseek and its short name, dsk.
v0.10.1cargo binstall dataseekDownloads the prebuilt binary. Needs cargo-binstall.
v0.10.1cargo install --locked dataseekBuilds from source with your Rust toolchain.
v0.10.1uv tool install dataseekInstalls the PyPI release as a tool.
v0.10.1uvx dataseek search sea surface temperatureRuns one search without installing anything.
v0.10.101 / Sources
One query goes to every source at once.
A recorded search for "sea surface temperature": each tile lights up when its archive answered. A dataset held by several archives comes back once, and ranks higher.
$ dsk search sea surface temperature
[================]70/71 answered
1.76 s
Point at a tile to see its sourceand how fast it answered.
- DataCite, aggregator: answered in 727 ms
- OpenAIRE Graph, aggregator: answered in 713 ms
- Google Dataset Search, aggregator: opt-in, asked only when named
- EUDAT B2FIND, aggregator: answered in 653 ms
- Hugging Face Hub, machine learning: answered in 299 ms
- Kaggle, machine learning: answered in 278 ms
- OpenML, machine learning: answered in 13 ms
- UCI Machine Learning Repository, machine learning: answered in 1 ms
- Roboflow Universe, machine learning: needs $ROBOFLOW_API_KEY
- ModelScope, machine learning: answered in 682 ms
- Registry of Open Data on AWS, machine learning: answered in 5 ms
- TensorFlow Datasets, machine learning: answered in 1 ms
- GitHub (topic:dataset), code: answered in 267 ms
- Zenodo, research: answered in 1264 ms
- Figshare, research: answered in 212 ms
- Harvard Dataverse, research: answered in 988 ms
- Borealis (Canada), research: answered in 971 ms
- Recherche Data Gouv (France), research: answered in 739 ms
- DataverseNL, research: answered in 566 ms
- DataverseNO, research: answered in 577 ms
- OSF (via SHARE), research: answered in 597 ms
- Mendeley Data, research: opt-in, asked only when named
- data.europa.eu, government: answered in 669 ms
- Data.gov, government: answered in 698 ms
- data.gov.uk, government: answered in 239 ms
- Open Government Canada, government: answered in 775 ms
- data.gov.au, government: answered in 1763 ms
- GovData (Germany), government: answered in 579 ms
- Humanitarian Data Exchange, government: answered in 546 ms
- Socrata portals (US), government: answered in 562 ms
- Socrata portals (EU), government: answered in 410 ms
- OpenDataSoft hub, government: answered in 534 ms
- ArcGIS Hub, government: answered in 718 ms
- DBnomics, economics: answered in 1276 ms
- World Bank indicators, economics: answered in 29 ms
- World Bank Microdata Library, economics: answered in 659 ms
- IHSN survey catalog, statistics: answered in 964 ms
- FAO Microdata, statistics: answered in 591 ms
- UNHCR Microdata Library, statistics: answered in 303 ms
- IMF, economics: answered in 0 ms
- OECD, economics: answered in 7 ms
- European Central Bank, finance: answered in 0 ms
- Eurostat, statistics: answered in 13 ms
- Bank for International Settlements, finance: answered in 0 ms
- ILOSTAT, economics: answered in 2 ms
- UNdata, statistics: answered in 0 ms
- Data Commons, statistics: needs $DATACOMMONS_API_KEY
- Our World in Data, statistics: answered in 237 ms
- FRED, finance: needs $FRED_API_KEY
- Deutsche Bundesbank, finance: answered in 0 ms
- U.S. Treasury Fiscal Data, finance: answered in 1 ms
- U.S. Census Bureau API, statistics: answered in 7 ms
- WHO Global Health Observatory, statistics: expired catalog
- NASA Earthdata (CMR), geospatial: answered in 340 ms
- Microsoft Planetary Computer, geospatial: answered in 1 ms
- Earth Search (AWS), geospatial: answered in 0 ms
- Copernicus Data Space, geospatial: answered in 3 ms
- Copernicus Climate Data Store, geospatial: answered in 1 ms
- Google Earth Engine catalog, geospatial: answered in 3 ms
- NOAA NCEI, geospatial: answered in 662 ms
- PANGAEA, geospatial: answered in 864 ms
- GBIF, ecology: answered in 421 ms
- DataONE, ecology: answered in 746 ms
- NCBI GEO, life sciences: answered in 457 ms
- ArrayExpress (EBI), life sciences: answered in 237 ms
- BioStudies (EBI), life sciences: answered in 321 ms
- OmicsDI, life sciences: answered in 813 ms
- CZ CELLxGENE, life sciences: answered in 1 ms
- Synapse, life sciences: answered in 1269 ms
- OpenNeuro, neuroscience: answered in 6 ms
- DANDI Archive, neuroscience: answered in 868 ms
- PhysioNet, neuroscience: answered in 2 ms
- CERN Open Data, physics: answered in 240 ms
- Materials Project (MPContribs), physics: answered in 0 ms
- NOMAD, physics: answered in 2 ms
- CESSDA Data Catalogue, social science: answered in 469 ms
- aggregator
- machine learning
- code
- research
- government
- economics
- statistics
- finance
- geospatial
- ecology
- life sciences
- neuroscience
- physics
- social science
- 1Extended Reconstructed Sea Surface Temperature (ERSST), Version 4
https://catalog.data.gov/dataset/extended-reconstructed-sea-surface-temperature-ersst-version-4
The Extended Reconstructed Sea Surface Temperature (ERSST) dataset is a global monthly sea surface temperature analysis on a 2x2 degree grid derived from the International Comprehensive Ocean-Atmosphere Dataset (ICOADS). The latest ERSST Version 4 (v4) is based on Version 3b (v3b). Major revisions for v4 include...
DgdatagovNcncei - 2Sea surface temperature calculation for the Arabian Sea
https://b2find.eudat.eu/dataset/82ab40fc-9ae4-54aa-8e91-149aa4544c39
Sea surface temperature (SST) and seawater d18O (d18Ow) were reconstructed in a suite of sediment cores from throughout the Arabian Sea for four distinct time intervals (0 ka, 8 ka, 15 ka, and 20 ka) with the aim of understanding the history of the Indian Monsoon and the climate of the Arabian Sea region. This was...
Bfb2findPapangaea - 3Red Sea surface temperature
https://zenodo.org/doi/10.5281/zenodo.8134200
Daily sea-surface temperature observations from the years 1985 to 2015 (inclusive), for 16703 regularly-spaced locations across the Red Sea; see Donlon et al. (2012) for details. These data have been analysed by Hazra and Huser (2021), Simpson and Wadsworth (2021), Simpson et al. (2023), and Sainsbury-Dale et al...
DcdataciteZnzenodo
3 of 322 results; 70 of 71 sources answered; -n 322 shows all
02 / Outputs
Read the results, pipe them, or hand the search to an agent.
Terminal
Each result names every archive that holds it. Narrow by source, category, license or format.
dsk search mnist -s huggingface,kaggledsk search rainfall --license cc-by --format csvJSON
Add --json to any command and pipe the results into a script.
dsk search census --json | jq -r '.results[].url'dsk sources --jsonMCP
dsk mcp lets Claude, Cursor or any MCP client search and inspect datasets for you. The agent skill teaches it the queries that work.
{
"mcpServers": {
"dataseek": { "command": "dsk", "args": ["mcp"] }
}
}pnpm dlx skills add lmarkmann/dataseek