Found 32 datasets matching "industrial chemicals".
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The GitHub repository contains a Python code (MC_Case_Study.py) to support and replicate the case study results shown in the manuscript entitled Data engineering for tracking chemicals and...
Search relevance: 132.14 | Views last month: 5 -
Oklahoma State University South-Central Research Station (SCRS) was used to conduct research to understand the chemical composition of various water types and their potential environmental and...
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This dataset consists of the non confidential identities of chemical substances submitted under the Toxic Substances Control Act (TSCA). TSCA was enacted to ensure that chemicals manufactured, ...
Search relevance: 48.76 | Views last month: 58 -
This data extraction tool contains the non confidential identities of chemical substances submitted under the Toxic Substances Control Act (TSCA). TSCA was enacted to ensure that chemicals...
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The data used in this analysis was obtained from published literature and available through the high-throughput toxicokinetic (HTTK) R package. The dataset consists of 1486 chemicals that span a...
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The associated data are measured and ICE predicted acute toxicity for five TSCA-regulated case study compounds used in the uncertainty analysis described in the associated manuscript. This...
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This data set is a compilation of data from two sampling efforts (2010 and 2014), focused on determining the presence and distribution of organic contaminants throughout the United States portion...
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This dataset provides measured in vitro intrinsic clearance rates for 54 chemicals tested using isolated hepatocytes from humans, rats, and rainbow trout. The test chemicals were selected to...
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The US EPA Toxicity Forecasting (ToxCast) project has involved the generation of large amount of high throughput in vitro data (Over 4000 chemicals tested in between 100 and 700 assays). This data...
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This layer displays points of industrial uses extracted from the 2012 Chemical Data Reporting (CDR) database. The CDR database contains comprehensive use and exposure information on the most...
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This dataset contains results for samples collected at stormwater basins across the United States to assess the potential contaminant pathways of these basins to surface water and groundwater....
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EPA's Risk-Screening Environmental Indicators (RSEI) is a geographically-based, multimedia model and prioritization tool that helps policy makers, researchers, and communities quickly analyze...
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Hazardous Substances Data Bank (HSDB) was a toxicology database that focused on the toxicology of potentially hazardous chemicals. It provided information on human exposure, industrial hygiene,...
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This data download package contains the following map layers: CDR sites, CDR chemicals, and CDR commercial and industrial submissions. Layers are drawn at all scales. Included in this package are...
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Chemical toxicity can arise from disruption of specific biomolecular functions or through more generalized cell stress and cytotoxicity-mediated processes. Here, concentration-dependent responses...
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This data dictionary describes relevant fields from secondary data sources that can assist with modeling the conditions of use for a chemical when performing a chemical assessment. Information on...
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The EPA GitHub repository PAU4ChemAs as described in the README.md file, contains Python scripts written to build the PAU dataset modules (technologies, capital and operating costs, and chemical...
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This data package was created 2025-12-03 07:52:46 by NPSTORET and includes selected project, location, and result data. Data are from the Guam Waterworks Authority monitoring of groundwater and...
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The St Louis River (SLR) is the second largest tributary to Lake Superior and a designated area of concern (AOC) due to past industrial contamination of organic chemicals and heavy metals,...
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The Toxics Release Inventory (TRI) tracks the management of certain toxic chemicals that may pose a threat to human health and the environment. Certain industrial facilities in the U.S. must...
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