We believe rigorous research requires open data. All datasets underlying our published findings are freely available for verification, replication, and further research.
The Table Temperature Alignment Project is committed to the highest standards of scientific transparency. We publish all primary data, analysis code, and model parameters to enable independent verification of our findings. Our datasets are released under Creative Commons licenses to maximize their utility for researchers, policymakers, and the public.
We follow FAIR principles (Findable, Accessible, Interoperable, Reusable) and deposit archival copies with the Open Science Framework to ensure long-term availability.
Download our complete research datasets. All data is provided under open licenses for academic and non-commercial use.
Comprehensive survey of 847 table models across 23 countries, measuring structural integrity thresholds at temperature extremes. Includes material composition, manufacturer data, and failure point observations.
14.2 MB
847 tables, 12,705 measurements
2024-11-15
CC BY 4.0
Laboratory-verified temperature failure points for 156 common furniture materials, including wood composites, metals, plastics, and glass. Tested under controlled conditions per ISO 9227 protocols.
3.8 MB
156 materials, 2,340 test results
2024-10-22
CC BY 4.0
Real-time tracker of furniture temperature alignment policies, regulations, and legislative proposals across 89 countries. Includes policy text excerpts, adoption dates, and enforcement status.
1.2 MB
89 countries, 47 active policies
2024-12-01
CC BY 4.0
Complete parameter set for our Monte Carlo cost-effectiveness analysis, including probability distributions, discount rates, population projections, and sensitivity ranges. Allows full replication of published estimates.
892 KB
10,000 simulations, 47 parameters
2024-08-01
CC BY 4.0
Interactive preview of key findings from our datasets.
Detailed documentation of our research methods, ensuring full reproducibility.
Standardized procedures for gathering table temperature tolerance data, including sampling methodology, measurement equipment specifications, and quality control measures.
View documentationDocumentation of our structured expert judgment process for probability estimates, including calibration procedures and aggregation methods.
View documentationTechnical appendix detailing our expected value calculations, Monte Carlo simulation approach, and sensitivity analysis framework.
View documentationComprehensive guide to how we represent and communicate uncertainty across all datasets and model outputs.
View documentationWe are developing a RESTful API to provide programmatic access to our datasets. The API will enable real-time queries, custom data exports, and integration with your research workflows.
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If you use our data in your research, please cite appropriately.
Table Temperature Alignment Project. (2024). [Dataset Name]. TTAP Open Data Initiative.
https://ttap.org/open-data. Accessed [Date].Vance, E., Chen, M., & Okonkwo, A. (2024). Quantifying the Expected Disvalue of
Thermally Misaligned Furniture: A Longtermist Perspective. Journal of Applied
Alignment Studies, 12(3), 245-289.@article{vance2024quantifying,
title={Quantifying the Expected Disvalue of Thermally
Misaligned Furniture: A Longtermist Perspective},
author={Vance, Eleanor and Chen, Michael and Okonkwo, Adaeze},
journal={Journal of Applied Alignment Studies},
volume={12},
number={3},
pages={245--289},
year={2024}
}Data Usage Agreement: By downloading our datasets, you agree to cite the source in any publications and to use the data only for research, educational, or policy purposes. Commercial use requires explicit permission.