{"dcterms:modified":"2026-05-10","dcterms:creator":"Harvard Dataverse","@type":"ore:ResourceMap","schema:additionalType":"Dataverse OREMap Format v1.0.2","dvcore:generatedBy":{"@type":"schema:SoftwareApplication","schema:name":"Dataverse","schema:version":"6.10.1 build iqss-3","schema:url":"https://github.com/iqss/dataverse"},"@id":"https://dataverse.harvard.edu/api/datasets/export?exporter=OAI_ORE&persistentId=https://doi.org/10.7910/DVN/NH9AES","ore:describes":{"customCAFEDataSources:cafeDerivedFromExistingDataset":"Yes","alternativeURL":"https://www.epa.gov/toxics-release-inventory-tri-program/tri-basic-data-files-calendar-years-1987-present","citation:depositor":"Mike Conway","kindOfData":["Data Resource","CSV"],"citation:notesText":"<b>Intended Use</b><ul><li>Geospatial exposure assessment for studies in which a proximity-based metric is appropriate</li><li>Geospatial exposure assessment for studies on longer-term health outcomes (e.g., chronic conditions)</li><li>Cross-sectional studies</li><li>Longitudinal studies (with restrictions)</li><li>Long-term studies</li><li>Geospatial exposure assessment at the individual-level</li><li>Geospatial exposure model development</li><li>Studies of multi-pollutant mixtures</li><li>Informing public health and/or environmental decision-making processes</li></ul><br/><b>Strengths</b><ul><li>Dataset supports analysis of proximity to more than 20,000 polluting facilities by specific pollutant and year in the US over multiple decades</li><li>Dataset includes detailed pollutant information with more than 800 specific chemicals</li><li>Dataset supports analysis across multiple exposure pathways (air, water, and soil)</li><li>Dataset supports trend analysis (with some limitations due to changes in TRI reporting requirements over time)</li></ul><br/><b>Limitations</b><ul><li>EPA recommends use of TRI data as a starting point for evaluating potential exposures to certain chemicals and associated risks to human health or the environment</li><li>Dataset does not include all polluting industrial facilities (e.g., facilities with less than ten employees are not required to report estimated emissions to the TRI) and does not include all sources of pollution (e.g., does not include estimated emissions from roadways, households, etc.)</li><li>Data reporting methods (e.g., methods of estimating pollutant emissions) can vary by facility and year</li><li>Dataset may not be suitable for all types of trend analyses due to changes in TRI reporting requirements, covered pollutants, and covered industrial facility types over time</li><li>Data reported at the annual level and cannot be used to assess shorter-term pollutant emissions patterns</li><li>In some rare instances, the reported address of the facility may not match the physical location of the facility</li><li>Proximity-based exposure metrics do not account for important physical and chemical factors (e.g., wind speed and direction, emission stack height) that would impact an individual's or population's exposure to pollutant emissions from a TRI facility</li><li>EPA recommends use of TRI data as a starting point for evaluating potential exposures to certain chemicals and associated risks to human health or the environment</li><li>Dataset does not include all polluting industrial facilities (e.g., facilities with less than ten employees are not required to report estimated emissions to the TRI) and does not include all sources of pollution (e.g., does not include estimated emissions from roadways, households, etc.)</li><li>Data reporting methods (e.g., methods of estimating pollutant emissions) can vary by facility and year</li><li>Dataset may not be suitable for all types of trend analyses due to changes in TRI reporting requirements, covered pollutants, and covered industrial facility types over time</li><li>Data reported at the annual level and cannot be used to assess shorter-term pollutant emissions patterns</li><li>In some rare instances, the reported address of the facility may not match the physical location of the facility</li><li>Proximity-based exposure metrics do not account for important physical and chemical factors (e.g., wind speed and direction, emission stack height) that would impact an individual's or population's exposure to pollutant emissions from a TRI facility</li></ul><br/><b>Suggested Audience</b><ul><li>Researcher</li></ul><br/>","customCAFEDataLocation:cafeIncludesGeospatialFile":"Yes","title":"Toxic Release Inventory (TRI) Basic Data Files","citation:keyword":[{"citation:keywordValue":"Air Pollution"},{"citation:keywordValue":"Water Pollution"},{"citation:keywordValue":"Land Pollution"},{"citation:keywordValue":"Regulated Pollutants"},{"citation:keywordValue":"Toxic Emissions"},{"citation:keywordValue":"Mass Estimate"},{"citation:keywordValue":"Annual Average"},{"citation:keywordValue":"Polluting Industrial Facilities"},{"citation:keywordValue":"United States"}],"citation:producer":{"citation:producerName":"Toxic Release Inventory"},"timePeriodCovered":{"citation:timePeriodCoveredStart":"1987-01-01","citation:timePeriodCoveredEnd":"2023-12-31"},"author":[{"citation:authorName":"Environmental Protection Agency (EPA)"},{"citation:authorName":"Federal Agency"}],"citation:topicClassification":[{"citation:topicClassValue":"Air Pollutants"},{"citation:topicClassValue":"Industrial Facilities"},{"citation:topicClassValue":"Water Pollutants"}],"publication":{"publicationCitation":"US Environmental Protection Agency (EPA). Toxic Release Inventory (TRI). [https://www.epa.gov/toxics-release-inventory-tri-program/tri-data-and-tools].","publicationURL":"https://www.epa.gov/toxics-release-inventory-tri-program/tri-data-and-tools","publicationRelationType":"Cites"},"citation:dsDescription":{"citation:dsDescriptionValue":"The Toxic Release Inventory (TRI) Basic Data Files provide annual estimated toxic releases (i.e., pollutant mass emissions to air, water, and land) for specific pollutants that are required by regulations to be reported to the U. S. Environmental Protection Agency (EPA) by federal and industrial facilities. This includes industries involved in manufacturing, metal mining, electric power generation, chemical manufacturing, or hazardous waste treatment. The inventory includes chemicals that may cause cancer, significant adverse acute or chronic human health effects, or significant adverse environmental effects. The TRI covers the United States and United States Territories during 1987 to 2023. The TRI provides the point locations (geographic coordinates) of polluting industrial facilities and their facility-reported annual estimated mass emissions by pollutant and release type (air, water, or land). The TRI includes more than 800 pollutants (e.g., benzene, ethylbenzene, xylene, toluene)."},"citation:datasetContact":[{"citation:datasetContactName":"Environmental Protection Agency (EPA)","citation:datasetContactEmail":"noreply@chordshealth.org"},{"citation:datasetContactName":"Federal Agency","citation:datasetContactEmail":"noreply@chordshealth.org"}],"customCAFEDataSources:cafeSourceData":{"customCAFEDataSources:cafeSourceDataInstitution":"Toxic Release Inventory","customCAFEDataSources:cafeSourceDataDOIOrURL":"https://www.epa.gov/toxics-release-inventory-tri-program/tri-data-and-tools","customCAFEDataSources:cafeSourceDataType":"Other (specify)"},"subject":["Earth and Environmental Sciences","Medicine, Health and Life Sciences"],"@id":"https://doi.org/10.7910/DVN/NH9AES","@type":["ore:Aggregation","schema:Dataset"],"schema:version":"1.0","schema:name":"Toxic Release Inventory (TRI) Basic Data Files","schema:dateModified":"Mon Jan 12 09:30:42 EST 2026","schema:datePublished":"2026-01-12","schema:creativeWorkStatus":"RELEASED","schema:license":"http://creativecommons.org/publicdomain/zero/1.0","dvcore:fileTermsOfAccess":{"dvcore:fileRequestAccess":true},"schema:includedInDataCatalog":"Harvard Dataverse","schema:isPartOf":{"schema:name":"Connecting Health Outcomes Research and Data Systems (CHORDS)","@id":"https://dataverse.harvard.edu/dataverse/CHORDS","schema:description":"The CHORDS project strengthens <b>data infrastructure to facilitate research connections</b> between environmental exposures and health outcomes. Exposures such as poor air and water quality, extreme temperatures, and natural disasters can cause both short-term health effects, like asthma attacks and heat stroke, and long-term conditions such as heart disease and cancer. By providing <b>accessible, interoperable data and analytical resources</b>, CHORDS supports researchers, health practitioners, and public officials in assessing environmental health risks, developing evidence-based interventions, and anticipating future health challenges to better protect communities.","schema:isPartOf":{"schema:name":"CAFE Research Coordinating Center for Health and Extreme Weather Collection","@id":"https://dataverse.harvard.edu/dataverse/CAFE","schema:description":"<p>Welcome to the CAFE Dataverse collection! This open collection is designed to support and enhance global research initiatives focused on understanding and mitigating the health impacts of environmental exposures. More information about CAFE's data management can be found on our <a href=\"https://climate-cafe.github.io/intro.html\">CAFE documentation website</a>. To learn more about CAFE, please visit our <a href=\"https://climatehealthcafe.org/\">homepage</a>.</p>\n\n<h3>Instructions</h3>\n<p>To make contributions to the CAFE collection, you'll find easy-to-follow steps in our <a href=\"https://climate-cafe.github.io/tutorial.html\">CAFE Dataverse upload instructions</a>. Before publishing your dataset, please ensure the metadata adheres to the <a href=\"https://climate-cafe.github.io/dv_README_template.html\">CAFE Recommended README Template</a>, and familiarize yourself with the <a href=\"https://support.dataverse.harvard.edu/harvard-dataverse-general-terms-use\">Dataverse Terms of Use</a>.</p>","schema:isPartOf":{"schema:name":"Harvard Dataverse","@id":"https://dataverse.harvard.edu/dataverse/harvard","schema:description":"<span><span><span><h3>Share, archive, and get credit for your data. Find and cite data across all research fields.</h3></span></span></span>"}}},"ore:aggregates":[{"schema:description":"","schema:name":"metadata.json","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":604811,"@id":"https://dataverse.harvard.edu/file.xhtml?fileId=13350792","schema:sameAs":"https://dataverse.harvard.edu/api/access/datafile/13350792","@type":"ore:AggregatedResource","schema:fileFormat":"application/json","dvcore:filesize":2,"dvcore:storageIdentifier":"s3xxxxl://dvn-cloud:19bb29cf9de-bd5521e68ccd","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"http://www.w3.org/2001/04/xmldsig-more#md5","@value":"99914b932bd37a50b983c5e7c90ae93b"}},{"schema:description":"","schema:name":"README.md","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":604811,"@id":"https://dataverse.harvard.edu/file.xhtml?fileId=13350791","schema:sameAs":"https://dataverse.harvard.edu/api/access/datafile/13350791","@type":"ore:AggregatedResource","schema:fileFormat":"text/markdown","dvcore:filesize":821,"dvcore:storageIdentifier":"s3xxxxl://dvn-cloud:19bb29cfaa7-d0ef7510594a","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"http://www.w3.org/2001/04/xmldsig-more#md5","@value":"2001b58bac351271a50fe199d4d8db9b"}}],"schema:hasPart":["https://dataverse.harvard.edu/file.xhtml?fileId=13350792","https://dataverse.harvard.edu/file.xhtml?fileId=13350791"]},"@context":{"alternativeURL":"https://schema.org/distribution","author":"http://purl.org/dc/terms/creator","citation":"https://dataverse.org/schema/citation/","customCAFEDataLocation":"https://dataverse.harvard.edu/schema/customCAFEDataLocation#","customCAFEDataSources":"https://dataverse.harvard.edu/schema/customCAFEDataSources#","dcterms":"http://purl.org/dc/terms/","dvcore":"https://dataverse.org/schema/core#","kindOfData":"http://rdf-vocabulary.ddialliance.org/discovery#kindOfData","ore":"http://www.openarchives.org/ore/terms/","publication":"http://purl.org/dc/terms/isReferencedBy","publicationCitation":"http://purl.org/dc/terms/bibliographicCitation","publicationRelationType":"http://datacite.org/schema/kernel-4/simpleTypes#relationType","publicationURL":"https://schema.org/distribution","schema":"http://schema.org/","subject":"http://purl.org/dc/terms/subject","timePeriodCovered":"https://schema.org/temporalCoverage","title":"http://purl.org/dc/terms/title"}}