dockets: EPA-HQ-OPPT-2022-0905
Data license: Public Domain (U.S. Government data) · Data source: Federal Register API & Regulations.gov API
This data as json
| id | agency_id | title | docket_type | last_modified | object_id | rin | dkabstract | category | subtype | keywords | program | short_title | effective_date | organization | attrs_raw | attr_source |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| EPA-HQ-OPPT-2022-0905 | EPA | Toxic Substances Control Act (TSCA) Science Advisory Committee on Chemicals (SACC) - Peer Review of 2023 Draft Supplement to the 1,4-Dioxane Risk Evaluation | Nonrulemaking | 2026-06-05T14:56:11Z | 0b0000648549f258 | Science Advisory Committee on Chemicals (SACC) Peer Review to provide comments on the EPA 2023 Supplement to 1,4-Dioxane Risk Evaluation document | Peer Review | ["1,4-Dioxane, dioxane", "Toxic Chemicals, Risk Evaluation", "letter peer review"] | {"displayProperties": [{"name": "abstract", "label": "Description", "tooltip": "Describes an agency's specific regulatory action; equivalents: Abstract, Docket Subject, General Info, Related To, Summary."}, {"name": "generic", "label": "Location", "tooltip": "Agency specific program associated with a docket (regulatory action); equivalents: Bureau, Docket Item Code, Program Area."}], "keywords": ["1,4-Dioxane, dioxane", "Toxic Chemicals, Risk Evaluation", "letter peer review"], "modifyDate": "2026-06-05T14:56:11Z", "dkAbstract": "Science Advisory Committee on Chemicals (SACC) Peer Review to provide comments on the EPA 2023 Supplement to 1,4-Dioxane Risk Evaluation document", "agencyId": "EPA", "program": null, "shortTitle": null, "subType2": null, "title": "Toxic Substances Control Act (TSCA) Science Advisory Committee on Chemicals (SACC) - Peer Review of 2023 Draft Supplement to the 1,4-Dioxane Risk Evaluation", "generic": "HQ-OPPT", "field1": null, "docketType": "Nonrulemaking", "petitionNbr": null, "rin": null, "organization": null, "legacyId": null, "subType": "Peer Review", "category": null, "field2": null, "effectiveDate": null, "objectId": "0b0000648549f258"} | single_get |
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- 79 rows from docket_id in documents