7 datasets found for "SQL"
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Federal
CPDat 2017
U.S. Environmental Protection Agency —
This dataset represents quantitative data on product chemical composition for >75,000 chemicals contained in >15,000 consumer products. The dataset provided at... -
Federal
Datasets for manuscript "An End-of-Life Plastic and Additive Flow Tracker Tool for Scenario Forecasting"
U.S. Environmental Protection Agency —
EoLPAFT This code was written for the tool shared in the peer-reviewed manuscript "An End-ofLife Plastic and Additive Flow Tracker Tool for Scenario Forecasting."... -
Federal
Environmental mixtures and breast cancer: identifying co-exposure patterns between understudied vs breast cancer-associated chemicals using chemical inventory informatics
U.S. Environmental Protection Agency —
All data used for these analyses are publicly available, either through CPDat, ToxRefDB, or the CompTox Chemicals Dashboard. Script associated with these analyses are... -
Federal
NaKnowBase-SQL backend-080121
U.S. Environmental Protection Agency —
Engineered nanomaterials (generally defined as being 1-100 nm is size) take on unique activities due to their small size, reactivity, and high surface area to mass... -
Federal
nkbdump2020Nov12
U.S. Environmental Protection Agency —
This is a dump file of the NaKnowBase - an SQL based relational database containing curated data from EPA's Office of Research and Development related to the... -
Federal
Datasets for manuscript "Tracking end-of-life stage of chemicals: a scalable data-centric and chemical-centric approach"
U.S. Environmental Protection Agency —
As described in the README.md file, the GitHub repository PRTR_transfers are Python scripts written to run a data-centric and chemical-centric framework for tracking... -
Federal
Grulke_EPA’s DSSTox Chemical Structure Database
U.S. Environmental Protection Agency —
The US Environmental Protection Agency’s (EPA) Distributed Structure-Searchable Toxicity (DSSTox) database, launched publicly in 2004, currently exceeds 875 K...
7 datasets found for "SQL"