Timeline / Data.gov — Health Datasets
changed Source changed
A new raw object was archived. Both versions are preserved. 4501 line(s) added, 6415 line(s) removed.
Evidence
| Source | Data.gov — Health Datasets |
|---|---|
| Agency | Data.gov |
| URL | https://api.gsa.gov/technology/datagov/v4/search?q=health&sort=last_harvested_date&per_page=100&api_key=${DATAGOV_API_KEY} |
| Observed by | Civic Memory, directly, on 2026-09-29T00:23:24+00:00 |
| Content type | application/json |
| Current object |
176c5e484db2c236468a938bc355f6771aa3b83f256a6fc99ef83bfffd011e4a
download raw
metadata
|
| Previous object |
3bb561332ec8238cf183af8f032b5dd941127cbe5ba13de03d783c5a8c5fc997
download raw
metadata
|
What changed derived
This diff is not evidence. It was produced by
civic-memory.diff_engine 1.1.0 at
2026-09-29T00:23:24+00:00 by normalizing the two archived objects above. The
objects are authoritative; this reading of them can be regenerated or deleted
without loss. 4501 line(s) added, 6415 line(s) removed.
--- previous +++ current @@ -1,242 +1,64 @@ { - "after": "WzE3OTA0NTg1NzkwNjMsMTYuMjYxODQ1LDE2LCJmMTc5MTIwYS05NDc4LTQwZDUtYjMxYS02ZTUyOTA4NDlhNzkiXQ==", + "after": "WzE3OTA2Mjc0NjA5OTEsNjguMzkyMjUsMCwiZTMwODFjOGYtZTI3My00ZTEzLTkyZmEtM2JlZjU2NDFhMzcyIl0=", "results": [ { - "_score": 13.136023, + "_score": 12.793247, "_sort": [ - 1790553622321, - 13.136023, - 0, - "cc02307e-3e69-48f5-ac03-0c0eb04fd99f" - ], - "dcat": { - "accessLevel": "public", - "bureauCode": [ - "010:12" - ], - "contactPoint": { - "@type": "vcard:Contact", - "fn": "Jacquelyn Schei", - "hasEmail": "mailto:jschei@usgs.gov" - }, - "description": "This dataset is a static view of available data from the Pacific Northwest Aquatic Monitoring Partnership (PNAMP) Monitoring Site Manager on 201412. The Monitoring Site Manager describes locations of data collection events for various aquatic monitoring programs in the Pacific Northwest. It includes locations for the US Forest Service Aquatic and Riparian Effectiveness Monitoring Program (AREMP), Bonneville Power Administration’s Columbia Habitat Monitoring Program (CHaMP), Oregon Department of Environmental Quality’s (ODEQ) Ambient Water Quality Monitoring Program, the National Rivers and Streams Assessment (NRSA) in Oregon, the US Forest Service PACFISH/INFISH Biological Opinion Effectiveness Monitoring Program (PIBO), and Washington State Department of Ecology’s Watershed Health and Salmon Recovery (WHSR) Monitoring Program. Development of this layer has been sponsored by the Pacific Northwest Aquatic Monitoring Partnership (PNAMP) and is maintained at https://www.monitoringresources.org/Sites/Explorer/Index by Sitka Technology Group.", - "distribution": [ - { - "@type": "dcat:Distribution", - "accessURL": "https://doi.org/10.5066/F7GF0RH8", - "description": "Landing page for access to the data", - "format": "XML", - "mediaType": "application/http", - "title": "Digital Data" - }, - { - "@type": "dcat:Distribution", - "description": "The metadata original format", - "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.538747fbe4b0aa26cd7b5422.xml", - "format": "XML", - "mediaType": "text/xml", - "title": "Original Metadata" - } - ], - "identifier": "http://datainventory.doi.gov/id/dataset/USGS_538747fbe4b0aa26cd7b5422", - "keyword": [ - "Aquatic ecosystems", - "Aquatic habitats", - "Arizona", - "Biomonitoring", - "California", - "Colorado", - "Data management", - "Data management practices", - "Estuarine ecosystems", - "Fish habitat", - "Fishes", - "Freshwater ecosystems", - "Idaho", - "Montana", - "Nevada", - "Oregon", - "Pacific Northwest", - "Spatial frameworks", - "USGS:538747fbe4b0aa26cd7b5422", - "Utah", - "Washington", - "Water conservation", - "Wyoming" - ], - "modified": "2026-09-25T00:00:00Z", - "publisher": { - "@type": "org:Organization", - "name": "U.S. Geological Survey" - }, - "spatial": "-119.29634711385724, 44.20755902446913, -117.73542069403258, 45.30805973966563", - "theme": [ - "geospatial" - ], - "title": "Pacific Northwest Aquatic Monitoring Partnership (PNAMP) static dataset for NFHP Thematic Viewer 201412" - }, - "description": "This dataset is a static view of available data from the Pacific Northwest Aquatic Monitoring Partnership (PNAMP) Monitoring Site Manager on 201412. The Monitoring Site Manager describes locations of data collection events for various aquatic monitoring programs in the Pacific Northwest. It includes locations for the US Forest Service Aquatic and Riparian Effectiveness Monitoring Program (AREMP), Bonneville Power Administration’s Columbia Habitat Monitoring Program (CHaMP), Oregon Department of Environmental Quality’s (ODEQ) Ambient Water Quality Monitoring Program, the National Rivers and Streams Assessment (NRSA) in Oregon, the US Forest Service PACFISH/INFISH Biological Opinion Effectiveness Monitoring Program (PIBO), and Washington State Department of Ecology’s Watershed Health and Salmon Recovery (WHSR) Monitoring Program. Development of this layer has been sponsored by the Pacific Northwest Aquatic Monitoring Partnership (PNAMP) and is maintained at https://www.monitoringresources.org/Sites/Explorer/Index by Sitka Technology Group.", - "distribution_titles": [ - "Digital Data", - "Original Metadata" - ], - "harvest_record": "https://catalog.data.gov/harvest_record/94e64e2a-9c4b-4f98-9814-cedf2b476df0", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/94e64e2a-9c4b-4f98-9814-cedf2b476df0/raw", - "has_download": true, - "has_spatial": true, - "identifier": "http://datainventory.doi.gov/id/dataset/USGS_538747fbe4b0aa26cd7b5422", - "keyword": [ - "Aquatic ecosystems", - "Aquatic habitats", - "Arizona", - "Biomonitoring", - "California", - "Colorado", - "Data management", - "Data management practices", - "Estuarine ecosystems", - "Fish habitat", - "Fishes", - "Freshwater ecosystems", - "Idaho", - "Montana", - "Nevada", - "Oregon", - "Pacific Northwest", - "Spatial frameworks", - "USGS:538747fbe4b0aa26cd7b5422", - "Utah", - "Washington", - "Water conservation", - "Wyoming" - ], - "last_harvested_date": "2026-09-28T00:00:22.321115", - "organization": { - "aliases": [ - "dept" - ], - "code_repo_exempt": false, - "code_repo_url": null, - "description": null, - "id": "143529f7-2eef-4a07-b227-93ac9e84fad8", - "logo": "https://raw.githubusercontent.com/GSA/logo/master/doi.png", - "name": "Department of the Interior", - "organization_type": "Federal Government", - "slug": "doi" - }, - "parent_identifier": null, - "popularity": 0, - "publisher": "U.S. Geological Survey", - "slug": "pacific-northwest-aquatic-monitoring-partnership-pnamp-static-dataset-for-nfhp-thematic-vi", - "spatial_centroid": { - "lat": 44.64775931054773, - "lon": -118.67197654592738 - }, - "spatial_shape": { - "coordinates": [ - [ - [ - -119.29634711385724, - 44.20755902446913 - ], - [ - -119.29634711385724, - 45.30805973966563 - ], - [ - -117.73542069403258, - 45.30805973966563 - ], - [ - -117.73542069403258, - 44.20755902446913 - ], - [ - -119.29634711385724, - 44.20755902446913 - ] - ] - ], - "type": "Polygon" - }, - "theme": [ - "geospatial" - ], - "title": "Pacific Northwest Aquatic Monitoring Partnership (PNAMP) static dataset for NFHP Thematic Viewer 201412", - "type": "dataset" - }, - { - "_score": 3.9422817, - "_sort": [ - 1790544949764, - 3.9422817, - 28, - "91285c37-3e59-42d1-8b57-4d75a2ec2fb6" + 1790631810057, + 12.793247, + 1, + "0df4ef38-d00a-4d36-bb6d-e2d1b5bcb0d6" ], "dcat": { "@type": "dcat:Dataset", "accessLevel": "public", "bureauCode": [ - "009:25" + "009:00" ], "contactPoint": { "@type": "vcard:Contact", - "fn": "National Library of Medicine", - "hasEmail": "mailto:custserv@nlm.nih.gov" - }, - "description": "The Learning Resources Database is a catalog of interactive tutorials, videos, online classes, finding aids, and other instructional resources on National Library of Medicine (NLM) products and services. Resources may be available for immediate use via a browser or downloadable for use in course management systems.", - "distribution": [ - { - "@type": "dcat:Distribution", - "downloadURL": "https://datadiscovery.nlm.nih.gov/api/v3/views/khy6-95gu/export.csv?accessType=DOWNLOAD", - "mediaType": "text/csv" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://datadiscovery.nlm.nih.gov/api/v3/views/khy6-95gu/query.json?accessType=DOWNLOAD", - "mediaType": "application/json" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://datadiscovery.nlm.nih.gov/api/v3/views/khy6-95gu/query.xml?accessType=DOWNLOAD", - "mediaType": "application/xml" - } - ], - "identifier": "https://datadiscovery.nlm.nih.gov/api/views/khy6-95gu", - "issued": "2022-06-29", - "keyword": [ - "education", - "training and instruction", - "videos" - ], - "landingPage": "https://learn.nlm.nih.gov/", - "license": "http://opendefinition.org/licenses/odc-odbl/", - "modified": "2026-09-26", + "fn": "HHS Office of the Chief Data Officer", + "hasEmail": "mailto:CDO@hhs.gov" + }, + "description": "The U.S. Department of Health and Human Services (HHS) publishes the HHS Data Inventory—a comprehensive metadata catalog of public and non-public data assets across the Department—in accordance with the Foundations for Evidence-Based Policymaking Act of 2018 (Evidence Act, Pub. L. 115-435). This inventory enhances information discovery, data usability, and government transparency by providing public visibility into data assets from all HHS Divisions.\n\nWhen more people access and use the data, we have more collective ability to identify gaps, errors, or other problems with this HHS metadata. Your feedback and suggestions will help HealthData.gov to expeditiously improve metadata quality and underlying data that matters most to you, and HHS commits to continuous improvements to information quality.", + "identifier": "https://healthdata.gov/api/views/nf5q-5bbw", + "issued": "2025-07-17", + "keyword": [ + "api", + "feedback", + "integration", + "inventory", + "metadata" + ], + "landingPage": "https://healthdata.gov/d/nf5q-5bbw", + "modified": "2026-09-28", "programCode": [ - "009:041" + "009:110" ], "publisher": { "@type": "org:Organization", - "name": "National Library of Medicine" + "name": "Office of the Chief Data Officer" }, "theme": [ - "Health Education" - ], - "title": "Learning Resources Database" - }, - "description": "The Learning Resources Database is a catalog of interactive tutorials, videos, online classes, finding aids, and other instructional resources on National Library of Medicine (NLM) products and services. Resources may be available for immediate use via a browser or downloadable for use in course management systems.", + "HHS" + ], + "title": "HHS Data Inventory" + }, + "description": "The U.S. Department of Health and Human Services (HHS) publishes the HHS Data Inventory—a comprehensive metadata catalog of public and non-public data assets across the Department—in accordance with the Foundations for Evidence-Based Policymaking Act of 2018 (Evidence Act, Pub. L. 115-435). This inventory enhances information discovery, data usability, and government transparency by providing public visibility into data assets from all HHS Divisions.\n\nWhen more people access and use the data, we have more collective ability to identify gaps, errors, or other problems with this HHS metadata. Your feedback and suggestions will help HealthData.gov to expeditiously improve metadata quality and underlying data that matters most to you, and HHS commits to continuous improvements to information quality.", "distribution_titles": [], - "harvest_record": "https://catalog.data.gov/harvest_record/0bc820b7-3963-4715-a186-112cb38d2d87", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/0bc820b7-3963-4715-a186-112cb38d2d87/raw", - "has_download": true, + "harvest_record": "https://catalog.data.gov/harvest_record/42456cba-a731-41b3-8d33-6b6ea5baf154", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/42456cba-a731-41b3-8d33-6b6ea5baf154/raw", + "has_download": false, "has_spatial": false, - "identifier": "https://datadiscovery.nlm.nih.gov/api/views/khy6-95gu", - "keyword": [ - "education", - "training and instruction", - "videos" - ], - "last_harvested_date": "2026-09-27T21:35:49.764356", + "identifier": "https://healthdata.gov/api/views/nf5q-5bbw", + "keyword": [ + "api", + "feedback", + "integration", + "inventory", + "metadata" + ], + "last_harvested_date": "2026-09-28T21:43:30.057811", "organization": { "aliases": [ "US", @@ -252,6 +74,104 @@ "slug": "hhs" }, "parent_identifier": null, + "popularity": 1, + "publisher": "Office of the Chief Data Officer", + "slug": "hhs-data-inventory-94a79", + "spatial_centroid": null, + "spatial_shape": null, + "theme": [ + "HHS" + ], + "title": "HHS Data Inventory", + "type": "dataset" + }, + { + "_score": 3.8703275, + "_sort": [ + 1790631674249, + 3.8703275, + 28, + "91285c37-3e59-42d1-8b57-4d75a2ec2fb6" + ], + "dcat": { + "@type": "dcat:Dataset", + "accessLevel": "public", + "bureauCode": [ + "009:25" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "National Library of Medicine", + "hasEmail": "mailto:custserv@nlm.nih.gov" + }, + "description": "The Learning Resources Database is a catalog of interactive tutorials, videos, online classes, finding aids, and other instructional resources on National Library of Medicine (NLM) products and services. Resources may be available for immediate use via a browser or downloadable for use in course management systems.", + "distribution": [ + { + "@type": "dcat:Distribution", + "downloadURL": "https://datadiscovery.nlm.nih.gov/api/v3/views/khy6-95gu/export.csv?accessType=DOWNLOAD", + "mediaType": "text/csv" + }, + { + "@type": "dcat:Distribution", + "downloadURL": "https://datadiscovery.nlm.nih.gov/api/v3/views/khy6-95gu/query.json?accessType=DOWNLOAD", + "mediaType": "application/json" + }, + { + "@type": "dcat:Distribution", + "downloadURL": "https://datadiscovery.nlm.nih.gov/api/v3/views/khy6-95gu/query.xml?accessType=DOWNLOAD", + "mediaType": "application/xml" + } + ], + "identifier": "https://datadiscovery.nlm.nih.gov/api/views/khy6-95gu", + "issued": "2022-06-29", + "keyword": [ + "education", + "training and instruction", + "videos" + ], + "landingPage": "https://learn.nlm.nih.gov/", + "license": "http://opendefinition.org/licenses/odc-odbl/", + "modified": "2026-09-27", + "programCode": [ + "009:041" + ], + "publisher": { + "@type": "org:Organization", + "name": "National Library of Medicine" + }, + "theme": [ + "Health Education" + ], + "title": "Learning Resources Database" + }, + "description": "The Learning Resources Database is a catalog of interactive tutorials, videos, online classes, finding aids, and other instructional resources on National Library of Medicine (NLM) products and services. Resources may be available for immediate use via a browser or downloadable for use in course management systems.", + "distribution_titles": [], + "harvest_record": "https://catalog.data.gov/harvest_record/680a0d13-cdd7-4cb0-8f0d-d9af10cc3667", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/680a0d13-cdd7-4cb0-8f0d-d9af10cc3667/raw", + "has_download": true, + "has_spatial": false, + "identifier": "https://datadiscovery.nlm.nih.gov/api/views/khy6-95gu", + "keyword": [ + "education", + "training and instruction", + "videos" + ], + "last_harvested_date": "2026-09-28T21:41:14.249356", + "organization": { + "aliases": [ + "US", + "dept" + ], + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "2c2fc21f-21d0-4450-af01-cf8c69b44156", + "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/hhs.png", + "name": "U.S. Department of Health & Human Services", + "organization_type": "Federal Government", + "slug": "hhs" + }, + "parent_identifier": null, "popularity": 28, "publisher": "National Library of Medicine", "slug": "learning-resources-database", @@ -264,79 +184,1549 @@ "type": "dataset" }, { - "_score": 8.209549, + "_score": 15.9509325, "_sort": [ - 1790541449941, - 8.209549, + 1790631289221, + 15.9509325, + 5, + "c0920c3f-0339-4eac-9b66-6495cc508a41" + ], + "dcat": { + "@type": "dcat:Dataset", + "accessLevel": "public", + "bureauCode": [ + "009:00" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "Office of the Assistant Secretary for Public Affairs", + "hasEmail": "mailto:media@acf.hhs.gov" + }, + "description": "This data represents unaccompanied alien children who are taken into custody by Customs and Border Protection brought to a facility and processed for transfer to the Department of Health and Human Services (HHS) as required by law. HHS holds the child for testing and quarantine, and shelters the child until the child is placed with a sponsor here in the United States.", + "distribution": [ + { + "@type": "dcat:Distribution", + "describedBy": "https://healthdata.gov/api/views/ehpz-xc9n/columns.json", + "describedByType": "application/json", + "downloadURL": "https://healthdata.gov/api/v3/views/ehpz-xc9n/query.json?accessType=DOWNLOAD", + "mediaType": "application/json" + }, + { + "@type": "dcat:Distribution", + "describedBy": "https://healthdata.gov/api/views/ehpz-xc9n/columns.xml", + "describedByType": "application/xml", + "downloadURL": "https://healthdata.gov/api/v3/views/ehpz-xc9n/query.xml?accessType=DOWNLOAD", + "mediaType": "application/xml" + }, + { + "@type": "dcat:Distribution", + "downloadURL": "https://healthdata.gov/api/v3/views/ehpz-xc9n/export.csv?accessType=DOWNLOAD", + "mediaType": "text/csv" + } + ], + "identifier": "https://healthdata.gov/api/views/ehpz-xc9n", + "issued": "2024-03-01", + "keyword": [ + "untagged" + ], + "landingPage": "https://www.hhs.gov/programs/social-services/unaccompanied-children/index.html", + "license": "https://www.usa.gov/government-works", + "modified": "2026-09-28", + "programCode": [ + "009:086" + ], + "publisher": { + "@type": "org:Organization", + "name": "HHS" + }, + "temporal": "2021-03/P2M", + "theme": [ + "National" + ], + "title": "HHS Unaccompanied Alien Children Program" + }, + "description": "This data represents unaccompanied alien children who are taken into custody by Customs and Border Protection brought to a facility and processed for transfer to the Department of Health and Human Services (HHS) as required by law. HHS holds the child for testing and quarantine, and shelters the child until the child is placed with a sponsor here in the United States.", + "distribution_titles": [], + "harvest_record": "https://catalog.data.gov/harvest_record/b03f657a-bd14-4bf6-8e4f-4e4a2dec6861", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/b03f657a-bd14-4bf6-8e4f-4e4a2dec6861/raw", + "has_download": true, + "has_spatial": false, + "identifier": "https://healthdata.gov/api/views/ehpz-xc9n", + "keyword": [ + "untagged" + ], + "last_harvested_date": "2026-09-28T21:34:49.221888", + "organization": { + "aliases": [ + "US", + "dept" + ], + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "2c2fc21f-21d0-4450-af01-cf8c69b44156", + "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/hhs.png", + "name": "U.S. Department of Health & Human Services", + "organization_type": "Federal Government", + "slug": "hhs" + }, + "parent_identifier": null, + "popularity": 5, + "publisher": "HHS", + "slug": "hhs-unaccompanied-alien-children-program", + "spatial_centroid": null, + "spatial_shape": null, + "theme": [ + "National" + ], + "title": "HHS Unaccompanied Alien Children Program", + "type": "dataset" + }, + { + "_score": 15.033927, + "_sort": [ + 1790629797769, + 15.033927, 0, - "bf3a3305-4a6e-4f66-b568-f18bfd6eedaf" + "da9046be-9dcc-46d4-ba22-bd6655fb3a2a" + ], + "dcat": { + "@type": "dcat:Dataset", + "accessLevel": "public", + "bureauCode": [ + "000:00" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "FSISDataDriven", + "hasEmail": "mailto:FSISDataDriven@usda.gov" + }, + "dataQuality": true, + "description": "The Inactive Meat, Poultry, and Egg Inspection (MPI) Directory provides demographic information about establishments that were previously regulated by the Food Safety and Inspection Service (FSIS) but are no longer active based on their operating status as recorded in the Public Health Information System (PHIS). It includes establishments previously regulated by FSIS, as well as locations where FSIS provided other inspection services. This list is updated weekly, typically on Mondays.", + "distribution": [ + { + "@type": "dcat:Distribution", + "description": "The Inactive Meat, Poultry, and Egg Inspection (MPI) Directory provides demographic information about establishments that were previously regulated by the Food Safety and Inspection Service (FSIS) but are no longer active based on their operating status as recorded in the Public Health Information System (PHIS).", + "downloadURL": "https://www.fsis.usda.gov/inspection/establishments/meat-poultry-and-egg-product-inspection-directory", + "mediaType": "application/octet-stream", + "title": "FSIS MPI - Inactive Meat, Poultry, and Egg Inspection Directory: Numerically by Establishment Number" + } + ], + "identifier": "FSIS-2026-08-004", + "issued": "2026-08-03", + "keyword": [ + "Agriculture", + "egg" + ], + "landingPage": "https://www.fsis.usda.gov/inspection/establishments/meat-poultry-and-egg-product-inspection-directory", + "language": [ + "en-US" + ], + "license": "https://creativecommons.org/publicdomain/zero/1.0/", + "modified": "2026-08-31", + "programCode": [ + "000:000" + ], + "publisher": { + "@type": "org:Organization", + "name": "Food Safety and Inspection Service", + "subOrganizationOf": { + "@type": "org:Organization", + "name": "Department of Agriculture" + } + }, + "rights": "true", + "title": "FSIS MPI - Inactive Meat, Poultry, and Egg Inspection Directory - Numerically by Establishment Number" + }, + "description": "The Inactive Meat, Poultry, and Egg Inspection (MPI) Directory provides demographic information about establishments that were previously regulated by the Food Safety and Inspection Service (FSIS) but are no longer active based on their operating status as recorded in the Public Health Information System (PHIS). It includes establishments previously regulated by FSIS, as well as locations where FSIS provided other inspection services. 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The fields were located in North-Central Kansas at the Land Institute near Salina, KS. No pesticides were applied to these fields during the experiment in 2023. Starting the first week of June, six transects were set out, two in each <i>Silphium integrifolium </i>field. Each transect contained seven 30.4 cm x 30.4 cm sticky card traps (Alpha Scents, Canby, OR, USA) affixed to the top of a 1.27 cm diameter, three foot in length PVC pole that was hammered into the ground until sturdy. The cards were affixed using a 271 cm long sticky card ring holder (Olson Products Inc., Medina, OH, USA) that was bent to a 90° angle and placed inside the PVC pipe. Two large binder clips were also used to anchor the sticky card to its card holder.</p><p dir=\"ltr\">The sticky traps in each transect were spaced 10 meters apart around the perimeter of the field. Within each transect, traps were baited with a linear increase in concentrations in 2023, including either a control (50 µl of acetone), a low concentration (50 µl of a solution made by mixing 5.75 µl of (<i>E</i>)-8-dodecenyl acetate in 5 ml of acetone), or a doubled concentration (11.5 µl of (<i>E</i>)-8-dodecenyl acetate diluted in 5 ml of acetone) of (<i>E</i>)-8-dodecenyl acetate (Alfa Chemistry, Ronkonkoma, NY, USA). All lures were added to a 3-ml LDPE dropping bottle (Wheaton, DWK Life Sciences, Millville, NJ, USA). The clear sticky card traps were collected and replaced biweekly until the first <i>E. giganteana </i>adult was caught, then traps were changed weekly. The lures and control bottles were replaced once every two weeks (with lure emissions confirmed out to 14 d in Ruiz et al. 2022) and their position in the field rotated at each change. Each lure was in each position twice over the course of the season.</p><p dir=\"ltr\">When collected, the sticky cards were held in a 7.6 L (=2 gal) labeled Ziploc<sup>©</sup> bag transported back to USDA-ARS. All collected sticky traps were placed in a freezer for approximately 24 h. The total number of <i>E. giganteana</i> per trap and their distance from the lure in millimeters was recorded. In addition, the number of nontarget lepidoptera was recorded on each trap. Individual <i>E. giganteana </i>and non-target lepidoptera were only counted if more than half of the specimen was remaining on the sticky trap at the time of counting to ensure positive identification.</p><p dir=\"ltr\"><i>Trapping in 2024 with an exponential set of concentrations of </i>(E)<i>-8-dodecenyl acetate</i></p><p dir=\"ltr\">Field trapping in 2024 was conducted similarly to that in 2023 with the following modifications. Three different fields located at the Land Institute were used (<a href=\"\" target=\"_blank\">Table 1). </a><a href=\"#_msocom_1\" target=\"_blank\">[HS1]</a> Pesticides were applied once to one of the fields and adjacent to one of the others. Three transects were deployed in each of the three fields. Each transect contained four traps for a total of 36 traps. The traps were assembled similarly to those used in 2023, but a hand-made sticky card was used instead of a manufactured one to improve captures. These sticky cards were made of a laminated 21.6 × 27.9 cm (=8.5 by 11 in) piece of white cardstock paper (Astrobright, Neenah, WI, USA) coated on both sides with TAD<sup>Ⓡ</sup> all-weather adhesive (Trécé Adhesives Division, Adair, OK, USA). The sticky sides were covered with wax paper for ease of travel. Additionally, the sticky cards had a chicken wire cage placed over them in the field to try to prevent the capture of birds and other nontargets on the traps. Traps in 2024 were baited with an exponential set of concentrations of (<i>E</i>)-8-dodecenyl acetate. In each transect, there was a solvent only control (50 µl of acetone), a low concentration equivalent to the 2023 treatment (50 µl of a solution made of 5.75 µl of (<i>E</i>)-8-dodecenyl acetate diluted in 5 ml of acetone), a medium concentration (50 µl of a solution made of 78.5 µl of (<i>E</i>)-8-dodecenyl acetate diluted in 5 ml of acetone), and a high concentration (50 µl of a solution made of 580.4 µl of (<i>E</i>)-8-dodecenyl acetate diluted in 5 ml of acetone). The traps were replaced weekly, and the lures were replaced biweekly, as well as rotated positions in the transect. Each lure was in each position twice over the course of the season.</p><p dir=\"ltr\"><i>Eucosma giganteana and Silphium integrifolium collections from the field</i></p><p dir=\"ltr\"><i>Eucosma giganteana</i> cannot yet be reared successfully in the laboratory, thus we sourced all specimens from the field. Adult <i>E. giganteana </i>individuals were carefully captured by hand in one of the fields planted to <i>Silphium integrifolium</i> at the Land Institute (38.769622, -97.598576) between 22:00 and 24:00 five times a week from June to August 2024. Moths were immediately sexed and individually placed in small deli cups with appropriate labels. They were brought back to the USDA-ARS Center for Grain and Animal Health (39.1955486, -96.5987334) for the experiments described below. Once in the lab but prior to use in experiments, moths were kept in a quiet environment at approximately 23 ± 0.1℃ and 16:8 L:D photoperiod. Importantly, no lures were used to capture insects to avoid biasing the results of the experiments below. <i>Silphium integrifolium</i> flower heads were cut 1 cm below the flower and brought back on a weekly basis during the same timeframe and stored at 4°C until needed for experiments. Flower heads were never more than 4 days old prior to use.</p><p><br></p><p dir=\"ltr\"><i>Headspace Characterization</i></p><p dir=\"ltr\">Headspace was collected from the following treatments: 10 <i>E. giganteana</i> male moths only, 10 <i>E. giganteana</i> female moths only, an even mix of male and female moths (5:5), flower cuttings of <i>S. integrifolium</i>, and a blank control. For the <i>E. giganteana</i> treatments, only alive, healthy adult moths that were collected within five days were used. For the <i>S. integrifolium </i>collections, approximately 25 grams of flower heads cut the same week as collections were used.</p><p dir=\"ltr\">For each treatment, <i>E. giganteana</i> or <i>S. integrifolium</i> were placed in a clean 100-mL beaker. To prevent moth escapees, a metal mesh top was constructed and affixed to the opening of the beaker. The beaker was then placed in one of eight 500-mL glass headspace collection containers with a PTFE septum and lid. A Pora-Pak Q volatile collection trap (VCT) was inserted in the output end. The VCT consisted of an angled drip-tip collection point borosilicate glass tube with a mesh (Stainless Steel #316 screen), packed with 20 mg of PoraPak-Q™ chemical absorbent held in place with a borosilicate glass wool plug, and followed by a PTFE Teflon™ compression seal. A PTFE tube spanned from the flow meter (CADS-4CPP, Clean Air Delivery System, Sigma Scientific, LLC, Micanopy, FL, USA) to the input end of the headspace container at a flow rate of 1 L/min. Prior to that, the air was scrubbed with an activated carbon filter and was pumped in using the central air pump for the center. Samples ran for 24 h. Each volatile collection trap was collected and eluted with 150 µl of dichloromethane in a fume hood into a 2-mL GC vial containing a 250 µl glass insert with polymer feet. The solvent was gently pushed through the volatile collection trap with N<sub>2</sub> gas. At the end of collecting all the samples, 1 µl of an internal standard, tetradecane (190.5 ng), was added to each of the samples. The samples were then all capped with a magnetic screw top lid and secured with PTFE tape before being placed in a freezer at -20 ℃ until they could be run. All headspace samples were collected within 5 weeks. After each replication, the headspace collection containers were all washed with methanol and then hexane. VCTs were rinsed in triplicate with dichloromethane. A total of at least n = 5 replicates were tested for each treatment.</p><p><br></p><p dir=\"ltr\"><i>Gas Chromatography Coupled with Mass Spectrometry</i></p><p dir=\"ltr\">All headspace collection sample extracts were run on an Agilent 7890B gas chromatograph (GC) equipped with an Agilent Durabond HP-5 column (30 m length, 0.250 mm diameter and 0.25 μm film thickness) with He as the carrier gas at a constant 1.2 mL/min flow and 40 cm/s velocity. The GC was coupled with a single-quadrupole Agilent 5997B mass spectrometer (MS). The compounds were separated by auto-injecting 1 μl of each sample under splitless into the GC–MS at room temperature (approximately 23 °C). The flow rate was 18 ml/min. The GC program consisted of 40 °C for 1 min followed by 10 °C/min increases to 300 °C and then held for 26.5 min. After a solvent delay of 3 min, mass ranges between 50 and 550 atomic mass units were scanned. Compounds were tentatively identified by comparison of spectral data with those from the NIST 14 library and by GC retention index. The samples were normalized according to the following formula: (Pk<sub>sam</sub> – Pk<sub>min</sub>)/(Pk<sub>max</sub> – Pk<sub>min</sub>), where Pk<sub>sam</sub> is the peak area from the sample, Pk<sub>min </sub>is the global minimum peak area, and Pk<sub>max</sub> is the global max peak area.</p><p><br></p><p dir=\"ltr\"><i>Electroantennography of E. giganteana</i></p><p dir=\"ltr\">All<i> </i>electroantennogram (EAG) recordings of <i>E. giganteana</i> were taken from 19:00 to 23:00 which corresponded to the peak activity period of <i>E. giganteana</i> based on prior literature (Ruiz et al. 2022). Prior to recordings, the machine and software were powered on and given 30 min to warm up. 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"https://ndownloader.figshare.com/files/66814364", + "format": "R", + "mediaType": "text/plain", + "title": "Hazel Amalgamated Script.R" + }, + { + "@type": "dcat:Distribution", + "downloadURL": "https://ndownloader.figshare.com/files/66814367", + "format": "docx", + "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document", + "title": "README Scribner et al.docx" + } + ], + "identifier": "10.15482/USDA.ADC/28055111.v2", + "keyword": [ + "ars", + "attract-and-kill", + "behavior", + "behavioral ecology", + "behaviorally-based management", + "cgahr", + "cup plant", + "eag", + "eucosma giganteana", + "flight mill", + "giant eucosma moth", + "insect behavior", + "insect flight", + "integrated pest management", + "kansas", + "lepidoptera", + "manhattan, ks", + "mating disruption", + "monitoring", + "pest", + "physiology", + "prairie", + "semiochemicals", + "silphium", + "silphium integrifolium", + "the land institute", + "tortricidae", + "trapping", + "usda" + ], + "license": "https://creativecommons.org/publicdomain/zero/1.0/", + "modified": "2026-07-31", + "programCode": [ + "005:040" + ], + "publisher": { + "@type": "org:Organization", + "name": "Agricultural Research Service" + }, + "temporal": "2023-05-01/2024-10-01", + "title": "Data from: Behavioral and physiological response of <i>Eucosma giganteana </i>to semiochemicals from conspecifics and <i>Silphium integrifolium</i>" + }, + "description": "<p dir=\"ltr\">[NOTE: 2026-07-31: Data files added, see README file for descriptions]</p><p dir=\"ltr\"><br></p><p dir=\"ltr\"><i>Trapping in 2023 with a linear set of dosages of </i>(E)<i>-8-dodecenyl acetate</i></p><p dir=\"ltr\">Field trapping was done according to the methodology in Ruiz et al. 2022. The fields were located in North-Central Kansas at the Land Institute near Salina, KS. No pesticides were applied to these fields during the experiment in 2023. Starting the first week of June, six transects were set out, two in each <i>Silphium integrifolium </i>field. Each transect contained seven 30.4 cm x 30.4 cm sticky card traps (Alpha Scents, Canby, OR, USA) affixed to the top of a 1.27 cm diameter, three foot in length PVC pole that was hammered into the ground until sturdy. The cards were affixed using a 271 cm long sticky card ring holder (Olson Products Inc., Medina, OH, USA) that was bent to a 90° angle and placed inside the PVC pipe. Two large binder clips were also used to anchor the sticky card to its card holder.</p><p dir=\"ltr\">The sticky traps in each transect were spaced 10 meters apart around the perimeter of the field. Within each transect, traps were baited with a linear increase in concentrations in 2023, including either a control (50 µl of acetone), a low concentration (50 µl of a solution made by mixing 5.75 µl of (<i>E</i>)-8-dodecenyl acetate in 5 ml of acetone), or a doubled concentration (11.5 µl of (<i>E</i>)-8-dodecenyl acetate diluted in 5 ml of acetone) of (<i>E</i>)-8-dodecenyl acetate (Alfa Chemistry, Ronkonkoma, NY, USA). All lures were added to a 3-ml LDPE dropping bottle (Wheaton, DWK Life Sciences, Millville, NJ, USA). The clear sticky card traps were collected and replaced biweekly until the first <i>E. giganteana </i>adult was caught, then traps were changed weekly. The lures and control bottles were replaced once every two weeks (with lure emissions confirmed out to 14 d in Ruiz et al. 2022) and their position in the field rotated at each change. Each lure was in each position twice over the course of the season.</p><p dir=\"ltr\">When collected, the sticky cards were held in a 7.6 L (=2 gal) labeled Ziploc<sup>©</sup> bag transported back to USDA-ARS. All collected sticky traps were placed in a freezer for approximately 24 h. The total number of <i>E. giganteana</i> per trap and their distance from the lure in millimeters was recorded. In addition, the number of nontarget lepidoptera was recorded on each trap. Individual <i>E. giganteana </i>and non-target lepidoptera were only counted if more than half of the specimen was remaining on the sticky trap at the time of counting to ensure positive identification.</p><p dir=\"ltr\"><i>Trapping in 2024 with an exponential set of concentrations of </i>(E)<i>-8-dodecenyl acetate</i></p><p dir=\"ltr\">Field trapping in 2024 was conducted similarly to that in 2023 with the following modifications. Three different fields located at the Land Institute were used (<a href=\"\" target=\"_blank\">Table 1). </a><a href=\"#_msocom_1\" target=\"_blank\">[HS1]</a> Pesticides were applied once to one of the fields and adjacent to one of the others. Three transects were deployed in each of the three fields. Each transect contained four traps for a total of 36 traps. The traps were assembled similarly to those used in 2023, but a hand-made sticky card was used instead of a manufactured one to improve captures. These sticky cards were made of a laminated 21.6 × 27.9 cm (=8.5 by 11 in) piece of white cardstock paper (Astrobright, Neenah, WI, USA) coated on both sides with TAD<sup>Ⓡ</sup> all-weather adhesive (Trécé Adhesives Division, Adair, OK, USA). The sticky sides were covered with wax paper for ease of travel. Additionally, the sticky cards had a chicken wire cage placed over them in the field to try to prevent the capture of birds and other nontargets on the traps. Traps in 2024 were baited with an exponential set of concentrations of (<i>E</i>)-8-dodecenyl acetate. In each transect, there was a solvent only control (50 µl of acetone), a low concentration equivalent to the 2023 treatment (50 µl of a solution made of 5.75 µl of (<i>E</i>)-8-dodecenyl acetate diluted in 5 ml of acetone), a medium concentration (50 µl of a solution made of 78.5 µl of (<i>E</i>)-8-dodecenyl acetate diluted in 5 ml of acetone), and a high concentration (50 µl of a solution made of 580.4 µl of (<i>E</i>)-8-dodecenyl acetate diluted in 5 ml of acetone). The traps were replaced weekly, and the lures were replaced biweekly, as well as rotated positions in the transect. Each lure was in each position twice over the course of the season.</p><p dir=\"ltr\"><i>Eucosma giganteana and Silphium integrifolium collections from the field</i></p><p dir=\"ltr\"><i>Eucosma giganteana</i> cannot yet be reared successfully in the laboratory, thus we sourced all specimens from the field. Adult <i>E. giganteana </i>individuals were carefully captured by hand in one of the fields planted to <i>Silphium integrifolium</i> at the Land Institute (38.769622, -97.598576) between 22:00 and 24:00 five times a week from June to August 2024. Moths were immediately sexed and individually placed in small deli cups with appropriate labels. They were brought back to the USDA-ARS Center for Grain and Animal Health (39.1955486, -96.5987334) for the experiments described below. Once in the lab but prior to use in experiments, moths were kept in a quiet environment at approximately 23 ± 0.1℃ and 16:8 L:D photoperiod. Importantly, no lures were used to capture insects to avoid biasing the results of the experiments below. <i>Silphium integrifolium</i> flower heads were cut 1 cm below the flower and brought back on a weekly basis during the same timeframe and stored at 4°C until needed for experiments. Flower heads were never more than 4 days old prior to use.</p><p><br></p><p dir=\"ltr\"><i>Headspace Characterization</i></p><p dir=\"ltr\">Headspace was collected from the following treatments: 10 <i>E. giganteana</i> male moths only, 10 <i>E. giganteana</i> female moths only, an even mix of male and female moths (5:5), flower cuttings of <i>S. integrifolium</i>, and a blank control. For the <i>E. giganteana</i> treatments, only alive, healthy adult moths that were collected within five days were used. For the <i>S. integrifolium </i>collections, approximately 25 grams of flower heads cut the same week as collections were used.</p><p dir=\"ltr\">For each treatment, <i>E. giganteana</i> or <i>S. integrifolium</i> were placed in a clean 100-mL beaker. To prevent moth escapees, a metal mesh top was constructed and affixed to the opening of the beaker. The beaker was then placed in one of eight 500-mL glass headspace collection containers with a PTFE septum and lid. A Pora-Pak Q volatile collection trap (VCT) was inserted in the output end. The VCT consisted of an angled drip-tip collection point borosilicate glass tube with a mesh (Stainless Steel #316 screen), packed with 20 mg of PoraPak-Q™ chemical absorbent held in place with a borosilicate glass wool plug, and followed by a PTFE Teflon™ compression seal. A PTFE tube spanned from the flow meter (CADS-4CPP, Clean Air Delivery System, Sigma Scientific, LLC, Micanopy, FL, USA) to the input end of the headspace container at a flow rate of 1 L/min. Prior to that, the air was scrubbed with an activated carbon filter and was pumped in using the central air pump for the center. Samples ran for 24 h. Each volatile collection trap was collected and eluted with 150 µl of dichloromethane in a fume hood into a 2-mL GC vial containing a 250 µl glass insert with polymer feet. The solvent was gently pushed through the volatile collection trap with N<sub>2</sub> gas. At the end of collecting all the samples, 1 µl of an internal standard, tetradecane (190.5 ng), was added to each of the samples. The samples were then all capped with a magnetic screw top lid and secured with PTFE tape before being placed in a freezer at -20 ℃ until they could be run. All headspace samples were collected within 5 weeks. After each replication, the headspace collection containers were all washed with methanol and then hexane. VCTs were rinsed in triplicate with dichloromethane. A total of at least n = 5 replicates were tested for each treatment.</p><p><br></p><p dir=\"ltr\"><i>Gas Chromatography Coupled with Mass Spectrometry</i></p><p dir=\"ltr\">All headspace collection sample extracts were run on an Agilent 7890B gas chromatograph (GC) equipped with an Agilent Durabond HP-5 column (30 m length, 0.250 mm diameter and 0.25 μm film thickness) with He as the carrier gas at a constant 1.2 mL/min flow and 40 cm/s velocity. The GC was coupled with a single-quadrupole Agilent 5997B mass spectrometer (MS). The compounds were separated by auto-injecting 1 μl of each sample under splitless into the GC–MS at room temperature (approximately 23 °C). The flow rate was 18 ml/min. The GC program consisted of 40 °C for 1 min followed by 10 °C/min increases to 300 °C and then held for 26.5 min. After a solvent delay of 3 min, mass ranges between 50 and 550 atomic mass units were scanned. Compounds were tentatively identified by comparison of spectral data with those from the NIST 14 library and by GC retention index. The samples were normalized according to the following formula: (Pk<sub>sam</sub> – Pk<sub>min</sub>)/(Pk<sub>max</sub> – Pk<sub>min</sub>), where Pk<sub>sam</sub> is the peak area from the sample, Pk<sub>min </sub>is the global minimum peak area, and Pk<sub>max</sub> is the global max peak area.</p><p><br></p><p dir=\"ltr\"><i>Electroantennography of E. giganteana</i></p><p dir=\"ltr\">All<i> </i>electroantennogram (EAG) recordings of <i>E. giganteana</i> were taken from 19:00 to 23:00 which corresponded to the peak activity period of <i>E. giganteana</i> based on prior literature (Ruiz et al. 2022). Prior to recordings, the machine and software were powered on and given 30 min to warm up. 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Soils were sampled pre- and post-planting across five management treatments and four depth intervals (0 – 15 cm, 15 – 30 cm, 30 – 60 cm, and 60 – 90 cm) of a vineyard with two wine grape cultivars (Chardonnay and Cabernet Sauvignon) on a common rootstock (1103 Paulson). Post-plant samples were also collected in the under-vine and alleyway areas to capture initial spatial variability associated with floor management zones. Samples were analyzed for a suite of chemical, biological, and physical soil health indicators. Chemical soil health indicators included total carbon (TC), total inorganic carbon (TIC), available phosphorous (P), soil pH, cation exchange capacity (CEC), and electrical conductivity (EC). Physical soil health indicators included bulk density (BD). Biological soil health indicators included total organic carbon (TOC), 24-hour mineralizable carbon (MinC), permanganate oxidizable compounds (POXC), potentially mineralizable nitrogen (PMN), autoclaved citrate-extractable (ACE) protein, and phospholipid fatty acid (PLFA) concentration and count. Most soil health indicator values were surface-weighted, with organic carbon and microbial activity concentrated in the top 30 cm, while inorganic carbon was the dominant carbon pool at depth.</p>", + "distribution": [ + { + "@type": "dcat:Distribution", + "downloadURL": "https://ndownloader.figshare.com/files/65565423", + "format": "csv", + "mediaType": "text/csv", + "title": "ElCaGi_ALL_PLFA_clean_2026_upload.csv" + }, + { + "@type": "dcat:Distribution", + "downloadURL": "https://ndownloader.figshare.com/files/65571276", + "format": "csv", + "mediaType": "text/csv", + "title": "PSR_Soil_SoilHealthData_Clean_2026_upload6152026.csv" + } + ], + "identifier": "10.15482/USDA.ADC/32662065.v1", + "keyword": [ + "Soil Health", + "Soil characterisation", + "Viticulture" + ], + "license": "https://creativecommons.org/licenses/by/4.0/", + "modified": "2026-08-31", + "programCode": [ + "005:040" + ], + "publisher": { + "@type": "org:Organization", + "name": "Agricultural Research Service" + }, + "spatial": "{\"type\": \"Point\", \"coordinates\": [-119.7284203651829, 46.25428009389708]}", + "temporal": "2023-04-11/2023-10-31", + "title": "WaSHI Vineyard LTARE Characterization Data 2023" + }, + "description": "<p dir=\"ltr\">This data represents baseline (pre-plant (April 2023) and post-plant (October 2023)) physical, chemical, and biological soil health indicator values across the recently established Washington Soil Health Initiative Vineyard at the Washington State University Irrigated Agriculture Research and Extension Center in Prosser, Washington. 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Data location: GeoPlatform (\"https://www.geoplatform.gov/\") and EPA Environmental Dataset Gateway (https://edg.epa.gov/). Abstract: We apply the hydrologic landscapes (HL) concept to assess the hydrologic vulnerability of the western United States (U.S.) to projected climate conditions. Our goal is to understand the potential impacts for stakeholder-defined interests across large geographic areas. The basic assumption of the HL approach is that catchments that share similar physical and climatic characteristics are expected to have similar hydrologic characteristics. We map climate vulnerability by integrating the HL approach into a retrospective analysis of historical data to assess variability in future climate projections and hydrology, which includes temperature, precipitation, potential evapotranspiration, snow accumulation, climatic moisture, surplus water, and seasonality of water surplus. Projections that are not within two-standard deviations of the historical decadal average contribute to the vulnerability index for each metric. The resulting vulnerability maps show that temperature and potential evapotranspiration are consistently projected to have high vulnerability indices for the western U.S. Precipitation vulnerability is not as spatially-uniform as temperature. The highest elevation areas with snow are projected to experience significant changes in snow accumulation. The seasonality vulnerability map shows that specific mountainous areas in the West are most prone to changes in seasonality, whereas many transitional terrains are moderately susceptible. This paper illustrates how the HL approach can help assess climatic and hydrologic vulnerability across large spatial scales. By combining the HL concept and climate vulnerability analyses, we provide a planning approach that could allow resource managers to consider how future climate conditions may impact important economic and conservation resources. Purpose: These data were created in support of the US EPA’s ACE CIVA 2.3, Task Project (QAPP: E-WED-0030854). However, these climate data and hydrologic landscape summaries should have broad applicability for hydrological, geomorphic, or ecological modeling, management, and restoration. 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Data location: GeoPlatform (\"https://www.geoplatform.gov/\") and EPA Environmental Dataset Gateway (https://edg.epa.gov/). Abstract: We apply the hydrologic landscapes (HL) concept to assess the hydrologic vulnerability of the western United States (U.S.) to projected climate conditions. Our goal is to understand the potential impacts for stakeholder-defined interests across large geographic areas. The basic assumption of the HL approach is that catchments that share similar physical and climatic characteristics are expected to have similar hydrologic characteristics. We map climate vulnerability by integrating the HL approach into a retrospective analysis of historical data to assess variability in future climate projections and hydrology, which includes temperature, precipitation, potential evapotranspiration, snow accumulation, climatic moisture, surplus water, and seasonality of water surplus. Projections that are not within two-standard deviations of the historical decadal average contribute to the vulnerability index for each metric. The resulting vulnerability maps show that temperature and potential evapotranspiration are consistently projected to have high vulnerability indices for the western U.S. Precipitation vulnerability is not as spatially-uniform as temperature. The highest elevation areas with snow are projected to experience significant changes in snow accumulation. The seasonality vulnerability map shows that specific mountainous areas in the West are most prone to changes in seasonality, whereas many transitional terrains are moderately susceptible. This paper illustrates how the HL approach can help assess climatic and hydrologic vulnerability across large spatial scales. By combining the HL concept and climate vulnerability analyses, we provide a planning approach that could allow resource managers to consider how future climate conditions may impact important economic and conservation resources. Purpose: These data were created in support of the US EPA’s ACE CIVA 2.3, Task Project (QAPP: E-WED-0030854). However, these climate data and hydrologic landscape summaries should have broad applicability for hydrological, geomorphic, or ecological modeling, management, and restoration. 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