Our Data Commitment
The NIH P20 Program is committed to the principles of open science and data transparency. We provide access to research datasets, code repositories, and supplementary materials to support reproducibility, enable validation of our findings, and facilitate further research by the broader scientific community.
Available Datasets
Dataset 1: United States Counties
Associated Publication: Author et al., Journal Name (Year)
County-level geometry for the United States (All datasets should be joined to this).
Format: GeoJSON
Size: Dynamic
Records: Dynamic
Dataset 2: Disaster Declarations
Associated Publication: Author et al., Journal Name (Year)
Format: CSV
Size: Dynamic
Records: Dynamic
Dataset 3: Employment Rates
Associated Publication: Author et al., Journal Name (Year)
Format: CSV
Size: Dynamic
Records: Dynamic
Dataset 4: Hospital Counts per Hundred Thousand People
Associated Publication: Author et al., Journal Name (Year)
Format: CSV
Size: Dynamic
Records: Dynamic
Dataset 5: GDP
Associated Publication: Author et al., Journal Name (Year)
Format: CSV
Size: Dynamic
Records: Dynamic
Dataset 6: Cardio Vascular Disease Prevalence
Associated Publication: Author et al., Journal Name (Year)
Format: CSV
Size: Dynamic
Records: Dynamic
Dataset 7: Vector Borne Disease Number of Cases
Associated Publication: Author et al., Journal Name (Year)
Format: CSV
Size: Dynamic
Records: Dynamic
Dataset 8: Drought
Associated Publication: Author et al., Journal Name (Year)
Format: CSV
Size: Dynamic
Records: Dynamic
Dataset 9: Gridex Extreme Heat/Cold Events
Associated Publication: Author et al., Journal Name (Year)
Format: CSV
Size: Dynamic
Records: Dynamic
Dataset 10: Gridex Event Types
Associated Publication: Author et al., Journal Name (Year)
Format: CSV
Size: Dynamic
Records: Dynamic
Dataset 11: Precipitation
Associated Publication: Author et al., Journal Name (Year)
Format: CSV
Size: Dynamic
Records: Dynamic
Dataset 12: Violence Statistics (Violent Offenses)
Associated Publication: Author et al., Journal Name (Year)
Format: CSV
Size: Dynamic
Records: Dynamic
Dataset 13: Asthma Prevalence
Associated Publication: Author et al., Journal Name (Year)
Format: CSV
Size: Dynamic
Records: Dynamic
Dataset 14: Diabetes Prevalence
Associated Publication: Author et al., Journal Name (Year)
Format: CSV
Size: Dynamic
Records: Dynamic
Dataset 15: Depression Prevalence
Associated Publication: Author et al., Journal Name (Year)
Format: CSV
Size: Dynamic
Records: Dynamic
Dataset 16: Hypertension Prevalence
Associated Publication: Author et al., Journal Name (Year)
Format: CSV
Size: Dynamic
Records: Dynamic
Dataset 17: Clean Air
Associated Publication: Author et al., Journal Name (Year)
Format: CSV
Size: Dynamic
Records: Dynamic
Dataset 18: Single Parent Households
Associated Publication: Author et al., Journal Name (Year)
Format: CSV
Size: Dynamic
Records: Dynamic
Dataset 19: Housing by Type
Associated Publication: Author et al., Journal Name (Year)
Format: CSV
Size: Dynamic
Records: Dynamic
Dataset 20: Level of Education
Associated Publication: Author et al., Journal Name (Year)
Format: CSV
Size: Dynamic
Records: Dynamic
Dataset 21: Literacy
Associated Publication: Author et al., Journal Name (Year)
Format: CSV
Size: Dynamic
Records: Dynamic
Dataset 22: Transportation
Associated Publication: Author et al., Journal Name (Year)
Format: CSV
Size: Dynamic
Records: Dynamic
Dataset 23: County Health Rankings
Associated Publication: Author et al., Journal Name (Year)
Format: CSV
Size: Dynamic
Records: Dynamic
Code & Software
We share analysis code, scripts, and software tools developed during our research to support reproducibility and enable others to build upon our work.
Data Analysis Pipeline
Complete analysis workflow including preprocessing, quality control, and statistical analysis code.
Language: Python/R
License: MIT
Visualization Tools
Interactive visualization and data exploration tools for exploring research findings and patterns.
Language: JavaScript/Python
License: Apache 2.0
Statistical Framework
Reusable statistical functions and modeling frameworks developed for our research applications.
Language: R/Python
License: GPL-3.0
Data Usage Guidelines
Attribution & Citation
When using our datasets or code, please cite the associated publications and include proper attribution to the P20 Program. Example citation format:
Author(s). (Year). Dataset Name. NIH P20 Program, Version 1.0. https://doi.org/[DOI]
License & Usage Terms
Our datasets are released under [Creative Commons/Open Data Commons License]. This permits:
- Use for research and educational purposes
- Redistribution with proper attribution
- Derivative work creation with acknowledgment
- Commercial use in accordance with license terms
Contact for Data Questions
For questions about our data, documentation, or usage, please contact:
Data Manager
data@nih-p20.org
Phone: (555) 123-4567