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Research dataset search and evaluation v1.0.0
Use this resource to find and evaluate datasets suited to your question
New
- 325 downloads
- 182 likes
- 101 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install research-dataset-discoveryWith no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginThe agent translates your question into the required study design (longitudinal, cross-sectional, multi-cohort), searches more than thirty scientific repositories, assesses how well each dataset fits, then provides loading code.
Mostly picked by
Updated November 2, 2026
Previews
Details
- Install guides
- Generates with
- Your agent's model
- Licence
- Apache-2.0
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What you get
- SKILL.md: search method and fitness criteria
- SKILL.md: loading code, pagination and data merging
Good fit for
- You need a cohort or survey for a study
- You need to know whether data can track change over time
Not for
Tags
- datasets
- cohorts
- repositories
- study design
About
You say
“Find me longitudinal data on sleep and heart health.”
Skill published by mims-harvard under the Apache-2.0 license, delivered in its original version.
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How to use it
- Install the skill in your agent's skills folder
- Ask your agent to find and evaluate datasets suited to your question
- Review and adjust the result
Content preview
Files
- LICENSE11.1 KB
- NOTICE-PALATEKIT.md0.5 KB
- SKILL.md10.4 KB
Origin and licence
Listed unmodified
- Author
- mims-harvard
- Source
- github.com/mims-harvard/tooluniverse/tree/169d065deeb3e289b3ff36d665529a123bdad791/skills/tooluniverse-dataset-discovery
- Licence
- Apache-2.0
Notice
« tooluniverse-dataset-discovery » (mims-harvard, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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