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As spatial data reporting is enforced by the application and acceptance of reporting increases for both tabular and spatial we hope to improve the quality and comprehensiveness of the data used for this layer in coming years.\u00a0<a href='https://data.fs.usda.gov/geodata/edw/datasets.php?xmlKeyword=silviculture+reforestation+needs' target='_blank' rel='nofollow ugc noopener noreferrer'>Metadata and Downloads</a>.","distribution_titles":["ArcGIS GeoService","CSV","GeoJSON","KML","Shapefile","ArcGIS Hub Dataset","ISO-19139 metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/79b608c8-4e45-4b22-8891-b2a0698db869","harvest_record_raw":"https://catalog.data.gov/harvest_record/79b608c8-4e45-4b22-8891-b2a0698db869/raw","has_download":false,"has_spatial":true,"identifier":"https://www.arcgis.com/home/item.html?id=8e83d9c39f494753b77cef41ad91262c&sublayer=1","keyword":["Activities","Open Data","Recovery","Resiliency","Safety","Silviculture Reforestation Needs","environment"],"last_harvested_date":"2026-09-30T21:32:59.936454","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"352b4532-793d-4075-a03f-05b778a3c43a","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/usda.png","name":"Department of Agriculture","organization_type":"Federal Government","slug":"usda"},"parent_identifier":null,"popularity":6,"publisher":"U.S. Forest Service","slug":"silviculture-reforestation-needs-feature-layer","spatial_centroid":{"lat":35.351459999999996,"lon":-116.11750000000002},"spatial_shape":{"coordinates":[[[-149.6887,18.3043],[-149.6887,60.9222],[-65.7607,60.9222],[-65.7607,18.3043],[-149.6887,18.3043]]],"type":"Polygon"},"theme":["geospatial"],"title":"Silviculture Reforestation Needs (Feature Layer)","type":"dataset"},{"_score":10.363989,"_sort":[1790803979735,10.363989,3,"33639b80-3364-4f89-bf75-86daa910bad7"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["005:96"],"contactPoint":{"@type":"vcard:Contact","fn":"USFSEnterpriseContent","hasEmail":"mailto:SM.FS.data@usda.gov"},"description":"The SilvTSI (Silviculture Timber Stand Improvement) feature class represents activities associated with the following performance measure: Forest Vegetation Improved (Release, Weeding, and Cleaning, Precommercial Thinning, Pruning and Fertilization). 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As spatial data reporting is enforced by the application and acceptance of reporting increases for both tabular and spatial we hope to improve the quality and comprehensiveness of the data used for this layer in coming years.\u00a0<a href='https://data.fs.usda.gov/geodata/edw/datasets.php?xmlKeyword=silviculture+timber+stand+improvement+needs' target='_blank' rel='nofollow ugc noopener noreferrer'>Metadata and Downloads</a>.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_SilvicultureTimberstandImprovementNeeds_01/MapServer/0","format":"ArcGIS GeoServices REST API","mediaType":"application/json","title":"ArcGIS GeoService"},{"@type":"dcat:Distribution","accessURL":"https://data-usfs.hub.arcgis.com/api/download/v1/items/340adadb629c4f89ae9c8162428cf057/csv?layers=0","format":"CSV","mediaType":"text/csv","title":"CSV"},{"@type":"dcat:Distribution","accessURL":"https://data-usfs.hub.arcgis.com/api/download/v1/items/340adadb629c4f89ae9c8162428cf057/geojson?layers=0","format":"GeoJSON","mediaType":"application/vnd.geo+json","title":"GeoJSON"},{"@type":"dcat:Distribution","accessURL":"https://data-usfs.hub.arcgis.com/api/download/v1/items/340adadb629c4f89ae9c8162428cf057/kml?layers=0","format":"KML","mediaType":"application/vnd.google-earth.kml+xml","title":"KML"},{"@type":"dcat:Distribution","accessURL":"https://data-usfs.hub.arcgis.com/api/download/v1/items/340adadb629c4f89ae9c8162428cf057/shapefile?layers=0","format":"ZIP","mediaType":"application/zip","title":"Shapefile"},{"@type":"dcat:Distribution","accessURL":"https://data-usfs.hub.arcgis.com/datasets/usfs::silviculture-timber-stand-improvement-needs-feature-layer","format":"Web Page","mediaType":"text/html","title":"ArcGIS Hub Dataset"},{"@type":"dcat:Distribution","accessURL":"https://www.arcgis.com/sharing/rest/content/items/340adadb629c4f89ae9c8162428cf057/info/metadata/metadata.xml?format=iso19139","conformsTo":"https://www.isotc211.org/2005/gmi","mediaType":"text/xml","title":"ISO-19139 metadata"}],"identifier":"https://www.arcgis.com/home/item.html?id=340adadb629c4f89ae9c8162428cf057&sublayer=0","issued":"2020-09-14","keyword":["Activities","Improvement","Open Data","Recovery","Resiliency","Safety","Silviculture Timberstand Needs","environment"],"landingPage":"https://data-usfs.hub.arcgis.com/datasets/usfs::silviculture-timber-stand-improvement-needs-feature-layer","license":"https://creativecommons.org/licenses/by/4.0/","modified":"2022-08-29","programCode":["005:059"],"progressCode":"onGoing","publisher":{"name":"U.S. Forest Service","source":"U.S. Forest Service"},"spatial":"-149.6887,18.3043,-65.7607,60.9222","theme":["geospatial"],"title":"Silviculture Timber Stand Improvement Needs (Feature Layer)"},"description":"The SilvTSI (Silviculture Timber Stand Improvement) feature class represents activities associated with the following performance measure: Forest Vegetation Improved (Release, Weeding, and Cleaning, Precommercial Thinning, Pruning and Fertilization). 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As spatial data reporting is enforced by the application and acceptance of reporting increases for both tabular and spatial we hope to improve the quality and comprehensiveness of the data used for this layer in coming years.\u00a0<a href='https://data.fs.usda.gov/geodata/edw/datasets.php?xmlKeyword=silviculture+timber+stand+improvement+needs' target='_blank' rel='nofollow ugc noopener noreferrer'>Metadata and Downloads</a>.","distribution_titles":["ArcGIS GeoService","CSV","GeoJSON","KML","Shapefile","ArcGIS Hub Dataset","ISO-19139 metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/b9d4bff3-1632-45e5-a8e2-95dbf24b6aa8","harvest_record_raw":"https://catalog.data.gov/harvest_record/b9d4bff3-1632-45e5-a8e2-95dbf24b6aa8/raw","has_download":false,"has_spatial":true,"identifier":"https://www.arcgis.com/home/item.html?id=340adadb629c4f89ae9c8162428cf057&sublayer=0","keyword":["Activities","Improvement","Open Data","Recovery","Resiliency","Safety","Silviculture Timberstand Needs","environment"],"last_harvested_date":"2026-09-30T21:32:59.735539","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"352b4532-793d-4075-a03f-05b778a3c43a","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/usda.png","name":"Department of Agriculture","organization_type":"Federal Government","slug":"usda"},"parent_identifier":null,"popularity":3,"publisher":"U.S. Forest Service","slug":"silviculture-timber-stand-improvement-needs-feature-layer","spatial_centroid":{"lat":35.351459999999996,"lon":-116.11750000000002},"spatial_shape":{"coordinates":[[[-149.6887,18.3043],[-149.6887,60.9222],[-65.7607,60.9222],[-65.7607,18.3043],[-149.6887,18.3043]]],"type":"Polygon"},"theme":["geospatial"],"title":"Silviculture Timber Stand Improvement Needs (Feature Layer)","type":"dataset"},{"_score":10.157772,"_sort":[1790803974009,10.157772,2,"b6074b84-7cc1-4bc3-af12-32e06ba11171"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["005:96"],"contactPoint":{"@type":"vcard:Contact","fn":"USFSEnterpriseContent","hasEmail":"mailto:SM.FS.data@usda.gov"},"description":"<div>The data in this map service is updated every weekend.</div><div></div><div><br /></div><div>Note: This data includes all activities regardless of whether there is a spatial feature attached.<br /><div><br /></div><div>Note: This is a large dataset. Metadata and Downloads are available at:\u00a0https://data.fs.usda.gov/geodata/edw/datasets.php?xmlKeyword=FACTS+common+attributes<br /></div><div><br /></div><div>To download FACTS activities layers, search for the activity types you want, such as timber harvest or hazardous fuels treatments. The Forest Service's Natural Resource Manager (NRM) Forest Activity Tracking System (FACTS) is the agency standard for managing information about activities related to fire/fuels, silviculture, and invasive species. This feature class contains the FACTS attributes most commonly needed to describe FACTS activities.</div></div>","distribution":[{"@type":"dcat:Distribution","accessURL":"https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_ActivityFactsCommonAttributes_01/MapServer/0","format":"ArcGIS GeoServices REST API","mediaType":"application/json","title":"ArcGIS GeoService"},{"@type":"dcat:Distribution","accessURL":"https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_ActivityFactsCommonAttributes_01/MapServer/0"},{"@type":"dcat:Distribution","accessURL":"https://data-usfs.hub.arcgis.com/api/download/v1/items/f8fb12b1bab44c11b1bee96562cc4773/csv?layers=0","format":"CSV","mediaType":"text/csv","title":"CSV"},{"@type":"dcat:Distribution","accessURL":"https://data-usfs.hub.arcgis.com/api/download/v1/items/f8fb12b1bab44c11b1bee96562cc4773/geojson?layers=0","format":"GeoJSON","mediaType":"application/vnd.geo+json","title":"GeoJSON"},{"@type":"dcat:Distribution","accessURL":"https://data-usfs.hub.arcgis.com/api/download/v1/items/f8fb12b1bab44c11b1bee96562cc4773/kml?layers=0","format":"KML","mediaType":"application/vnd.google-earth.kml+xml","title":"KML"},{"@type":"dcat:Distribution","accessURL":"https://data-usfs.hub.arcgis.com/api/download/v1/items/f8fb12b1bab44c11b1bee96562cc4773/shapefile?layers=0","format":"ZIP","mediaType":"application/zip","title":"Shapefile"},{"@type":"dcat:Distribution","accessURL":"https://data-usfs.hub.arcgis.com/datasets/usfs::activity-facts-common-attributes-feature-layer","format":"Web Page","mediaType":"text/html","title":"ArcGIS Hub Dataset"},{"@type":"dcat:Distribution","accessURL":"https://data.fs.usda.gov/geodata/edw/edw_resources/fc/S_USA.Actv_CommonAttribute_PL.gdb.zip","description":"Geodatabase Download","title":"Geodatabase Download"},{"@type":"dcat:Distribution","accessURL":"https://data.fs.usda.gov/geodata/edw/edw_resources/shp/S_USA.Actv_CommonAttribute_PL.zip","description":"Shapefile Download","title":"Shapefile Download"},{"@type":"dcat:Distribution","accessURL":"https://www.arcgis.com/sharing/rest/content/items/f8fb12b1bab44c11b1bee96562cc4773/info/metadata/metadata.xml?format=iso19139","conformsTo":"https://www.isotc211.org/2005/gmi","mediaType":"text/xml","title":"ISO-19139 metadata"}],"identifier":"https://www.arcgis.com/home/item.html?id=f8fb12b1bab44c11b1bee96562cc4773&sublayer=0","issued":"2019-05-17","keyword":["Activities","FACTS","Open Data","U.S. Forest Service","environment","fire/fuels","invasive species","silviculture"],"landingPage":"https://data-usfs.hub.arcgis.com/datasets/usfs::activity-facts-common-attributes-feature-layer","license":"https://creativecommons.org/licenses/by/4.0/","modified":"2026-09-24","programCode":["005:059"],"progressCode":"onGoing","publisher":{"name":"U.S. Forest Service","source":"U.S. Forest Service"},"spatial":"-151.5619,8.5730,-51.8141,64.2058","theme":["geospatial"],"title":"Activity FACTS Common Attributes (Feature Layer)"},"description":"<div>The data in this map service is updated every weekend.</div><div></div><div><br /></div><div>Note: This data includes all activities regardless of whether there is a spatial feature attached.<br /><div><br /></div><div>Note: This is a large dataset. Metadata and Downloads are available at:\u00a0https://data.fs.usda.gov/geodata/edw/datasets.php?xmlKeyword=FACTS+common+attributes<br /></div><div><br /></div><div>To download FACTS activities layers, search for the activity types you want, such as timber harvest or hazardous fuels treatments. The Forest Service's Natural Resource Manager (NRM) Forest Activity Tracking System (FACTS) is the agency standard for managing information about activities related to fire/fuels, silviculture, and invasive species. This feature class contains the FACTS attributes most commonly needed to describe FACTS activities.</div></div>","distribution_titles":["ArcGIS GeoService","CSV","GeoJSON","KML","Shapefile","ArcGIS Hub Dataset","Geodatabase Download","Shapefile Download","ISO-19139 metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/613dc3fc-3ec6-41dd-8300-42f608aaab6b","harvest_record_raw":"https://catalog.data.gov/harvest_record/613dc3fc-3ec6-41dd-8300-42f608aaab6b/raw","has_download":false,"has_spatial":true,"identifier":"https://www.arcgis.com/home/item.html?id=f8fb12b1bab44c11b1bee96562cc4773&sublayer=0","keyword":["Activities","FACTS","Open Data","U.S. Forest Service","environment","fire/fuels","invasive species","silviculture"],"last_harvested_date":"2026-09-30T21:32:54.009732","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"352b4532-793d-4075-a03f-05b778a3c43a","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/usda.png","name":"Department of Agriculture","organization_type":"Federal Government","slug":"usda"},"parent_identifier":null,"popularity":2,"publisher":"U.S. Forest Service","slug":"activity-facts-common-attributes-feature-layer","spatial_centroid":{"lat":30.826119999999996,"lon":-111.66278},"spatial_shape":{"coordinates":[[[-151.5619,8.573],[-151.5619,64.2058],[-51.8141,64.2058],[-51.8141,8.573],[-151.5619,8.573]]],"type":"Polygon"},"theme":["geospatial"],"title":"Activity FACTS Common Attributes (Feature Layer)","type":"dataset"},{"_score":11.44037,"_sort":[1790803961264,11.44037,1,"6e954bbf-f767-4d09-a542-3d43a0d0ad90"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["005:96"],"contactPoint":{"@type":"vcard:Contact","fn":"USFSEnterpriseContent","hasEmail":"mailto:SM.FS.data@usda.gov"},"description":"Spatial data is collected by the National Disaster Recovery Team from each unit point of contact. 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SNP genotypes are third-party and available from HelianthOME (http://www.helianthome.org/download/#genotype).</p>","distribution":[{"@type":"dcat:Distribution","accessURL":"https://geodata.nal.usda.gov/geonetwork/srv/api/records/e5eb6950-5358-45a0-b524-41b33ce2b954/formatters/xml","conformsTo":"https://www.isotc211.org/2005/gmd","format":"xml","mediaType":"text/xml","title":"Geodata ISO 19139 metadata"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5281/zenodo.22001495","mediaType":"text/html","title":"https://doi.org/10.5281/zenodo.22001495"}],"identifier":"10.5281/zenodo.22001495","keyword":["GWAS","Helianthus annus L.","association mapping","fatty acid composition","genotype by environment (G\u00d7E) interaction","linoleic acid","oleic acid","seed oil quality","source code","structural variation","sunflower","trait stability"],"license":"https://creativecommons.org/publicdomain/zero/1.0/","modified":"2026-08-28","programCode":["005:040"],"publisher":{"@type":"org:Organization","name":"Agricultural Research Service"},"spatial":"{\"type\": \"MultiPoint\", \"coordinates\": [[-123.1207, 49.2827], [-96.7678, 46.8738], [-93.6199, 42.0347], [-83.3576, 33.9519]]}","temporal":"2010-01-01/2016-12-31","theme":["geospatial"],"title":"Code for: The stability of fatty acid composition in sunflower oil is dependent on environment and affected by structural variation"},"description":"<p dir=\"ltr\">Code accompanying the manuscript \"The stability of fatty acid composition in sunflower oil is dependent on environment and affected by structural variation\" (Ingold, Hulke et al.), submitted to Theoretical and Applied Genetics.</p><p dir=\"ltr\">The code implements a genome-wide association study of seed fatty acid composition and its stability in the sunflower (Helianthus annuus L.) association mapping (SAM) population of 287 varieties, grown in eight field trials across North America: Vancouver, British Columbia (2010); Moorhead, Minnesota (2015, early and late plantings 2016); Ames, Iowa (2010, 2013, 2014); and Athens, Georgia (2010). Palmitic, stearic, oleic, and linoleic acid were measured by gas chromatography.</p><p dir=\"ltr\">Multivariate GWAS was performed on four phenotype sets: mean fatty acid composition within each environment; the same omitting high oleic varieties; within-environment stability quantified by standard errors among replicate samples (alpha stability); and across-environment stability quantified by Eberhart and Russell's beta.</p><p dir=\"ltr\">Included are scripts for phenotype preparation, beta stability regression, CHELSA climate data extraction and correlation, genotype and kinship analysis (ADMIXTURE, VanRaden kinship, PCA, LD blocks), multivariate GWAS with GEMMA and univariate GWAS with vcf2gwas, post-GWAS candidate gene identification, and analysis of a chromosome 5 introgression associated with stability under hot, humid conditions.</p><p dir=\"ltr\">The code is archived at https://doi.org/10.5281/zenodo.22001495 and developed at https://github.com/BrianSmart/SunflowerFattyAcidStabilityGWAS. SNP genotypes are third-party and available from HelianthOME (http://www.helianthome.org/download/#genotype).</p>","distribution_titles":["Geodata ISO 19139 metadata","https://doi.org/10.5281/zenodo.22001495"],"harvest_record":"https://catalog.data.gov/harvest_record/cf2c9546-b9bc-42b3-abdb-ec61759cf271","harvest_record_raw":"https://catalog.data.gov/harvest_record/cf2c9546-b9bc-42b3-abdb-ec61759cf271/raw","has_download":true,"has_spatial":true,"identifier":"10.5281/zenodo.22001495","keyword":["GWAS","Helianthus annus L.","association mapping","fatty acid composition","genotype by environment (G\u00d7E) interaction","linoleic acid","oleic acid","seed oil quality","source code","structural variation","sunflower","trait stability"],"last_harvested_date":"2026-09-30T21:32:35.484474","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"352b4532-793d-4075-a03f-05b778a3c43a","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/usda.png","name":"Department of Agriculture","organization_type":"Federal Government","slug":"usda"},"parent_identifier":null,"popularity":0,"publisher":"Agricultural Research Service","slug":"code-for-the-stability-of-fatty-acid-composition-in-sunflower-oil-is-dependent-on-environm","spatial_centroid":{"lat":43.035775,"lon":-99.2165},"spatial_shape":{"coordinates":[[-123.1207,49.2827],[-96.7678,46.8738],[-93.6199,42.0347],[-83.3576,33.9519]],"type":"MultiPoint"},"theme":["geospatial"],"title":"Code for: The stability of fatty acid composition in sunflower oil is dependent on environment and affected by structural variation","type":"dataset"},{"_score":2.737566,"_sort":[1790803950747,2.737566,2,"3c29b8a0-90c6-4200-a9b4-328d305fdc30"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","accrualPeriodicity":"irregular","bureauCode":["005:18"],"contactPoint":{"fn":"Morrison, William R.","hasEmail":"mailto:william.morrison@usda.gov"},"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\u00b0 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 \u00b5l of acetone), a low concentration (50 \u00b5l of a solution made by mixing 5.75 \u00b5l of (<i>E</i>)-8-dodecenyl acetate in 5 ml of acetone), or a doubled concentration (11.5 \u00b5l 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>\u00a9</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 \u00d7 27.9 cm (=8.5 by 11 in) piece of white cardstock paper (Astrobright, Neenah, WI, USA) coated on both sides with TAD<sup>\u24c7</sup> all-weather adhesive (Tr\u00e9c\u00e9 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 \u00b5l of acetone), a low concentration equivalent to the 2023 treatment (50 \u00b5l of a solution made of 5.75 \u00b5l of (<i>E</i>)-8-dodecenyl acetate diluted in 5 ml of acetone), a medium concentration (50 \u00b5l of a solution made of 78.5 \u00b5l of (<i>E</i>)-8-dodecenyl acetate diluted in 5 ml of acetone), and a high concentration (50 \u00b5l of a solution made of 580.4 \u00b5l 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 \u00b1 0.1\u2103 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\u00b0C 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\u2122 chemical absorbent held in place with a borosilicate glass wool plug, and followed by a PTFE Teflon\u2122 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 \u00b5l of dichloromethane in a fume hood into a 2-mL GC vial containing a 250 \u00b5l 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 \u00b5l 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 \u2103 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 \u03bcm 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 \u03bcl of each sample under splitless into the GC\u2013MS at room temperature (approximately 23 \u00b0C). The flow rate was 18 ml/min. The GC program consisted of 40 \u00b0C for 1 min followed by 10 \u00b0C/min increases to 300 \u00b0C 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> \u2013 Pk<sub>min</sub>)/(Pk<sub>max</sub> \u2013 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. Only field-captured moths within ...","distribution":[{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/51279737","format":"csv","mediaType":"text/csv","title":"scribner_headspace_volatiles_eucosma_2024.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/51279740","format":"csv","mediaType":"text/csv","title":"Eucosma_EAD .csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/51279743","format":"csv","mediaType":"text/csv","title":"Combined flight mill data1.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/51279749","format":"csv","mediaType":"text/csv","title":"Trapping_combined2024.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/66814319","format":"csv","mediaType":"text/csv","title":"beta_myrcene_NIST_mass_spectra.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/66814322","format":"csv","mediaType":"text/csv","title":"beta_myrcene_silphium_sample.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/66814325","format":"csv","mediaType":"text/csv","title":"beta_myrcene_std_sample.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/66814328","format":"csv","mediaType":"text/csv","title":"beta_phellandrene_NIST_mass_spectra.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/66814331","format":"csv","mediaType":"text/csv","title":"beta_phellandrene_sample_silphium.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/66814334","format":"csv","mediaType":"text/csv","title":"beta_phellandrene_std_sample.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/66814337","format":"csv","mediaType":"text/csv","title":"beta_pinene_NIST_extracted_mass_spectrum.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/66814340","format":"csv","mediaType":"text/csv","title":"beta_pinene_sample_silphium.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/66814343","format":"csv","mediaType":"text/csv","title":"beta_pinene_std_sample.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/66814346","format":"csv","mediaType":"text/csv","title":"camphene_in_silphium_sample_mass_spectrum.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/66814349","format":"csv","mediaType":"text/csv","title":"camphene_NIST_mass_spectra.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/66814352","format":"csv","mediaType":"text/csv","title":"camphene_standard_sample.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/66814355","format":"csv","mediaType":"text/csv","title":"D_limonene_NIST_mass_spectra.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/66814358","format":"csv","mediaType":"text/csv","title":"D_limonene_silphium_sample.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/66814361","format":"csv","mediaType":"text/csv","title":"D_limonene_std_sample.csv"},{"@type":"dcat:Distribution","downloadURL":"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\u00b0 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 \u00b5l of acetone), a low concentration (50 \u00b5l of a solution made by mixing 5.75 \u00b5l of (<i>E</i>)-8-dodecenyl acetate in 5 ml of acetone), or a doubled concentration (11.5 \u00b5l 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>\u00a9</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 \u00d7 27.9 cm (=8.5 by 11 in) piece of white cardstock paper (Astrobright, Neenah, WI, USA) coated on both sides with TAD<sup>\u24c7</sup> all-weather adhesive (Tr\u00e9c\u00e9 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 \u00b5l of acetone), a low concentration equivalent to the 2023 treatment (50 \u00b5l of a solution made of 5.75 \u00b5l of (<i>E</i>)-8-dodecenyl acetate diluted in 5 ml of acetone), a medium concentration (50 \u00b5l of a solution made of 78.5 \u00b5l of (<i>E</i>)-8-dodecenyl acetate diluted in 5 ml of acetone), and a high concentration (50 \u00b5l of a solution made of 580.4 \u00b5l 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 \u00b1 0.1\u2103 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\u00b0C 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\u2122 chemical absorbent held in place with a borosilicate glass wool plug, and followed by a PTFE Teflon\u2122 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 \u00b5l of dichloromethane in a fume hood into a 2-mL GC vial containing a 250 \u00b5l 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 \u00b5l 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 \u2103 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 \u03bcm 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 \u03bcl of each sample under splitless into the GC\u2013MS at room temperature (approximately 23 \u00b0C). The flow rate was 18 ml/min. The GC program consisted of 40 \u00b0C for 1 min followed by 10 \u00b0C/min increases to 300 \u00b0C 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> \u2013 Pk<sub>min</sub>)/(Pk<sub>max</sub> \u2013 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. Only field-captured moths within ...","distribution_titles":["scribner_headspace_volatiles_eucosma_2024.csv","Eucosma_EAD .csv","Combined flight mill data1.csv","Trapping_combined2024.csv","beta_myrcene_NIST_mass_spectra.csv","beta_myrcene_silphium_sample.csv","beta_myrcene_std_sample.csv","beta_phellandrene_NIST_mass_spectra.csv","beta_phellandrene_sample_silphium.csv","beta_phellandrene_std_sample.csv","beta_pinene_NIST_extracted_mass_spectrum.csv","beta_pinene_sample_silphium.csv","beta_pinene_std_sample.csv","camphene_in_silphium_sample_mass_spectrum.csv","camphene_NIST_mass_spectra.csv","camphene_standard_sample.csv","D_limonene_NIST_mass_spectra.csv","D_limonene_silphium_sample.csv","D_limonene_std_sample.csv","Hazel Amalgamated Script.R","README Scribner et al.docx"],"harvest_record":"https://catalog.data.gov/harvest_record/4194b55a-32ce-4785-8de6-4ea832ad9600","harvest_record_raw":"https://catalog.data.gov/harvest_record/4194b55a-32ce-4785-8de6-4ea832ad9600/raw","has_download":true,"has_spatial":false,"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"],"last_harvested_date":"2026-09-30T21:32:30.747498","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"352b4532-793d-4075-a03f-05b778a3c43a","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/usda.png","name":"Department of Agriculture","organization_type":"Federal Government","slug":"usda"},"parent_identifier":null,"popularity":2,"publisher":"Agricultural Research Service","slug":"data-from-behavioral-and-physiological-response-of-ieucosma-giganteana-ito-semiochemicals-","spatial_centroid":null,"spatial_shape":null,"theme":[],"title":"Data from: Behavioral and physiological response of <i>Eucosma giganteana </i>to semiochemicals from conspecifics and <i>Silphium integrifolium</i>","type":"dataset"},{"_score":54.310665,"_sort":[1790803890126,54.310665,2,"627746d6-1a5f-43bc-8933-06d33a7bf3b5"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["005:18"],"contactPoint":{"fn":"McGranahan, Devan, A.","hasEmail":"mailto:Devan.McGranahan@usda.gov"},"description":"<p dir=\"ltr\"><b>Overview</b></p><p dir=\"ltr\">Fire increasingly conflicts with the built environment. The Wildland-Urban Interface (WUI) describes areas where vegetation near the built environment increases wildfire hazard. In the United States, attention concentrates on WUI in forested areas, but human populations are extending into rangelands. The combination of WUI expansion and woody plant encroachment might present novel challenges to wildfire management, especially given the rural nature of rangelands in the US, which extends the response time of emergency services. We use publicly available data to describe the abundance, distribution, type, and overall wildfire risk in rural rangelands. Most of the WUI in the US Interior West (54%) occurs in rangeland: The majority of the US Interior West is rangeland and 4.3% of that\u2014over 1 million km<sup>2</sup> \u2014is WUI. Most WUI is rural: 59% is further than 10 km from town and Tribal areas are even more remote. Rangeland WUI is approximately twice as likely to be degraded by woody encroachment than non-WUI rangeland, suggesting that conventional fire suppression tactics for rangeland fuels might be insufficient or unsafe. Greater awareness of rural rangeland WUI might help leverage community-level adaptive capacity against the novel challenges of protecting lives and property beyond urban/peri-urban zones.</p><p dir=\"ltr\"><b>Files included</b></p><p dir=\"ltr\">These files include summarized data and R script used to create the analysis described above.</p>","distribution":[{"@type":"dcat:Distribution","accessURL":"https://geodata.nal.usda.gov/geonetwork/srv/api/records/352219db-1cf6-4bc8-b31e-3c5c95414983/formatters/xml","conformsTo":"https://www.isotc211.org/2005/gmd","format":"xml","mediaType":"text/xml","title":"Geodata ISO 19139 metadata"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/50799297","format":"xlsx","mediaType":"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet","title":"RangeWUI.xlsx"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/50799306","format":"zip","mediaType":"application/zip","title":"Robjects.zip"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/50799426","format":"pdf","mediaType":"application/pdf","title":"Rscript.pdf"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/54073649","format":"pdf","mediaType":"application/pdf","title":"EnergyWUI_StateCountyTables.pdf"}],"identifier":"10.15482/USDA.ADC/27905196.v2","keyword":["Landscape ecology","Rural capacity","Wildfire risk","Wildland-Urban Interface"],"license":"https://www.usa.gov/publicdomain/label/1.0/","modified":"2026-08-24","programCode":["005:040"],"publisher":{"@type":"org:Organization","name":"Agricultural Research Service"},"spatial":"{\"type\": \"Polygon\", \"coordinates\": [[[-117.22282269144286, 48.951361163538735], [-116.72517991655339, 42.02391635277718], [-120.1729664255404, 42.020697055191334], [-120.01696456111064, 38.967836981509066], [-114.54306862581659, 34.85660167488804], [-114.6832958730517, 32.514550114224704], [-111.06066874853424, 31.322607705912148], [-109.03213360311572, 31.33480834546434], [-108.25891017714905, 31.355888352732066], [-108.24639534112985, 31.7754135525075], [-106.59884725403272, 31.772683839469508], [-103.06316071625766, 31.807185365994997], [-103.04044212432733, 36.88545053812453], [-102.05384882184559, 36.88822301139487], [-102.08372027968149, 40.79801610463937], [-104.06685608300286, 40.96452680481593], [-103.99076822453019, 48.917372469700894], [-117.22282269144286, 48.951361163538735]]]}","temporal":"2020-01-01/2024-10-31","theme":["geospatial"],"title":"Data from: Quantifying wildfire risk to the built environment in rangelands of the US Interior West"},"description":"<p dir=\"ltr\"><b>Overview</b></p><p dir=\"ltr\">Fire increasingly conflicts with the built environment. The Wildland-Urban Interface (WUI) describes areas where vegetation near the built environment increases wildfire hazard. In the United States, attention concentrates on WUI in forested areas, but human populations are extending into rangelands. The combination of WUI expansion and woody plant encroachment might present novel challenges to wildfire management, especially given the rural nature of rangelands in the US, which extends the response time of emergency services. We use publicly available data to describe the abundance, distribution, type, and overall wildfire risk in rural rangelands. Most of the WUI in the US Interior West (54%) occurs in rangeland: The majority of the US Interior West is rangeland and 4.3% of that\u2014over 1 million km<sup>2</sup> \u2014is WUI. Most WUI is rural: 59% is further than 10 km from town and Tribal areas are even more remote. Rangeland WUI is approximately twice as likely to be degraded by woody encroachment than non-WUI rangeland, suggesting that conventional fire suppression tactics for rangeland fuels might be insufficient or unsafe. Greater awareness of rural rangeland WUI might help leverage community-level adaptive capacity against the novel challenges of protecting lives and property beyond urban/peri-urban zones.</p><p dir=\"ltr\"><b>Files included</b></p><p dir=\"ltr\">These files include summarized data and R script used to create the analysis described above.</p>","distribution_titles":["Geodata ISO 19139 metadata","RangeWUI.xlsx","Robjects.zip","Rscript.pdf","EnergyWUI_StateCountyTables.pdf"],"harvest_record":"https://catalog.data.gov/harvest_record/66d49525-4505-4149-809b-326cd19ee7a8","harvest_record_raw":"https://catalog.data.gov/harvest_record/66d49525-4505-4149-809b-326cd19ee7a8/raw","has_download":true,"has_spatial":true,"identifier":"10.15482/USDA.ADC/27905196.v2","keyword":["Landscape ecology","Rural capacity","Wildfire risk","Wildland-Urban Interface"],"last_harvested_date":"2026-09-30T21:31:30.126590","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"352b4532-793d-4075-a03f-05b778a3c43a","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/usda.png","name":"Department of Agriculture","organization_type":"Federal Government","slug":"usda"},"parent_identifier":null,"popularity":2,"publisher":"Agricultural Research Service","slug":"data-from-quantifying-wildfire-risk-to-the-built-environment-in-rangelands-of-the-us-inter","spatial_centroid":{"lat":37.89491669980133,"lon":-110.11571511992028},"spatial_shape":{"coordinates":[[[-117.22282269144286,48.951361163538735],[-116.72517991655339,42.02391635277718],[-120.1729664255404,42.020697055191334],[-120.01696456111064,38.967836981509066],[-114.54306862581659,34.85660167488804],[-114.6832958730517,32.514550114224704],[-111.06066874853424,31.322607705912148],[-109.03213360311572,31.33480834546434],[-108.25891017714905,31.355888352732066],[-108.24639534112985,31.7754135525075],[-106.59884725403272,31.772683839469508],[-103.06316071625766,31.807185365994997],[-103.04044212432733,36.88545053812453],[-102.05384882184559,36.88822301139487],[-102.08372027968149,40.79801610463937],[-104.06685608300286,40.96452680481593],[-103.99076822453019,48.917372469700894],[-117.22282269144286,48.951361163538735]]],"type":"Polygon"},"theme":["geospatial"],"title":"Data from: Quantifying wildfire risk to the built environment in rangelands of the US Interior West","type":"dataset"},{"_score":28.812572,"_sort":[1790803882039,28.812572,5,"0697d063-75bc-4ebc-b9ec-ee9d8e4648a8"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["005:18"],"contactPoint":{"fn":"Read, Quentin D.","hasEmail":"mailto:quentin.read@usda.gov"},"description":"<h2>Summary</h2><p dir=\"ltr\">This dataset includes all raw data (.csv) and R software code (.Rmd notebook and rendered .html output) needed to reproduce the results presented in the associated manuscript. All exploratory data visualizations and tables of statistical model results are included. The associated manuscript presents the results of a feeding trial with four treatments: layer hens were fed a control diet or diets supplemented with high-oleic peanuts, peanut skin, or oleic acid. Response variables were measured over the course of eight weeks. Generalized linear mixed models include fixed effects of treatment, time, and their interaction, and repeated measures error structure where appropriate. Body weight was significantly greater than the control in the peanut skin and whole peanut treatment. Statistically significant effects of treatment were found for other responses, but overall the results suggest little adverse effects of peanut supplementation on layer performance or egg quality.</p><h2>Description of common columns</h2><p dir=\"ltr\">Data sheets include a column titled \"Rep\" indicating either experimental replication or repeated observation within an experimental unit, \"Week\" for time point (week 1-8), \"Pen\" representing an experimental unit within each replication, or group of birds randomly assigned to a treatment, and \"Trmt\" to indicate one of the four treatments: </p><ul><li><b>Con</b>: control diet</li><li><b>HO PN</b>: diet supplemented with 24% high-oleic peanut</li><li><b>PN Skin</b>: diet supplemented with 3% peanut skin</li><li><b>OA</b>: diet supplemented with 2.5% oleic acid</li></ul><h2>Files included</h2><ul><li><b>body_weight.csv</b>: total body weight per pen in kg, number of birds per pen, and mean weight per bird in kg</li><li><b>egg_weight.csv</b>: weights of individual eggs in g</li><li><b>egg_quality.csv</b>: different egg quality measurements, units given in column headings</li><li><b>feed_consumed.csv</b>: total feed consumed per pen in kg</li><li><b>egg_production.csv</b>: counts of number of eggs produced</li><li><b>fatty_acid_profile.csv</b>: fatty acid concentrations, in percentage units</li><li><b>HOPN_hen_feeding_trial_analysis_supplement.Rmd</b>: RMarkdown notebook with R statistical software code</li><li><b>HOPN_hen_feeding_trial_analysis_supplement.html</b>: rendered output of RMarkdown notebook</li></ul><p></p>","distribution":[{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/57481210","format":"csv","mediaType":"text/csv","title":"egg_fatty_acid_profile.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/57481213","format":"csv","mediaType":"text/csv","title":"egg_production.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/57481216","format":"csv","mediaType":"text/csv","title":"egg_quality.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/57481219","format":"csv","mediaType":"text/csv","title":"egg_weight.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/57481222","format":"csv","mediaType":"text/csv","title":"feed_consumed.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/57481225","format":"csv","mediaType":"text/csv","title":"body_weight.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/57481294","format":"html","mediaType":"text/html","title":"HOPN_hen_feeding_trial_analysis_supplement.html"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/57481297","format":"Rmd","mediaType":"text/plain","title":"HOPN_hen_feeding_trial_analysis_supplement.Rmd"}],"identifier":"10.15482/USDA.ADC/30002362.v1","keyword":["cage-free housing","layers","peanut","peanut skin","poultry","poultry diet","source code"],"license":"https://creativecommons.org/publicdomain/zero/1.0/","modified":"2026-09-22","programCode":["005:040"],"publisher":{"@type":"org:Organization","name":"Agricultural Research Service"},"temporal":"2019-06-04/2019-07-30","title":"Data and code from: Effects of an Unblanched Peanut and/or Peanut Skin Diet on Egg Quality, Egg Lipid Chemistry and Performance of Hens Housed in a Cage-Free Environment"},"description":"<h2>Summary</h2><p dir=\"ltr\">This dataset includes all raw data (.csv) and R software code (.Rmd notebook and rendered .html output) needed to reproduce the results presented in the associated manuscript. All exploratory data visualizations and tables of statistical model results are included. The associated manuscript presents the results of a feeding trial with four treatments: layer hens were fed a control diet or diets supplemented with high-oleic peanuts, peanut skin, or oleic acid. Response variables were measured over the course of eight weeks. Generalized linear mixed models include fixed effects of treatment, time, and their interaction, and repeated measures error structure where appropriate. Body weight was significantly greater than the control in the peanut skin and whole peanut treatment. Statistically significant effects of treatment were found for other responses, but overall the results suggest little adverse effects of peanut supplementation on layer performance or egg quality.</p><h2>Description of common columns</h2><p dir=\"ltr\">Data sheets include a column titled \"Rep\" indicating either experimental replication or repeated observation within an experimental unit, \"Week\" for time point (week 1-8), \"Pen\" representing an experimental unit within each replication, or group of birds randomly assigned to a treatment, and \"Trmt\" to indicate one of the four treatments: </p><ul><li><b>Con</b>: control diet</li><li><b>HO PN</b>: diet supplemented with 24% high-oleic peanut</li><li><b>PN Skin</b>: diet supplemented with 3% peanut skin</li><li><b>OA</b>: diet supplemented with 2.5% oleic acid</li></ul><h2>Files included</h2><ul><li><b>body_weight.csv</b>: total body weight per pen in kg, number of birds per pen, and mean weight per bird in kg</li><li><b>egg_weight.csv</b>: weights of individual eggs in g</li><li><b>egg_quality.csv</b>: different egg quality measurements, units given in column headings</li><li><b>feed_consumed.csv</b>: total feed consumed per pen in kg</li><li><b>egg_production.csv</b>: counts of number of eggs produced</li><li><b>fatty_acid_profile.csv</b>: fatty acid concentrations, in percentage units</li><li><b>HOPN_hen_feeding_trial_analysis_supplement.Rmd</b>: RMarkdown notebook with R statistical software code</li><li><b>HOPN_hen_feeding_trial_analysis_supplement.html</b>: rendered output of RMarkdown notebook</li></ul><p></p>","distribution_titles":["egg_fatty_acid_profile.csv","egg_production.csv","egg_quality.csv","egg_weight.csv","feed_consumed.csv","body_weight.csv","HOPN_hen_feeding_trial_analysis_supplement.html","HOPN_hen_feeding_trial_analysis_supplement.Rmd"],"harvest_record":"https://catalog.data.gov/harvest_record/5baf5e0b-af7f-4286-87de-c653da4955d3","harvest_record_raw":"https://catalog.data.gov/harvest_record/5baf5e0b-af7f-4286-87de-c653da4955d3/raw","has_download":true,"has_spatial":false,"identifier":"10.15482/USDA.ADC/30002362.v1","keyword":["cage-free housing","layers","peanut","peanut skin","poultry","poultry diet","source code"],"last_harvested_date":"2026-09-30T21:31:22.039403","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"352b4532-793d-4075-a03f-05b778a3c43a","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/usda.png","name":"Department of Agriculture","organization_type":"Federal Government","slug":"usda"},"parent_identifier":null,"popularity":5,"publisher":"Agricultural Research Service","slug":"data-and-code-from-effects-of-an-unblanched-peanut-and-or-peanut-skin-diet-on-egg-quality-","spatial_centroid":null,"spatial_shape":null,"theme":[],"title":"Data and code from: Effects of an Unblanched Peanut and/or Peanut Skin Diet on Egg Quality, Egg Lipid Chemistry and Performance of Hens Housed in a Cage-Free Environment","type":"dataset"},{"_score":8.242479,"_sort":[1790803866890,8.242479,3,"5b18c886-018c-4f49-b642-5e9aa21e90aa"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["005:18"],"contactPoint":{"fn":"Gerken, Alison R.","hasEmail":"mailto:alison.gerken@usda.gov"},"description":"<p dir=\"ltr\">[Note 2026-08-31: File \"README_Tribolium_Density_MS_ADDENDUM.txt\" was added to dataset.]</p><p dir=\"ltr\">[Note 2026-08-12: Files \"Supplemental Table 1_adult number g larvae.xlsx\", \"Supplemental Table 2_flour loss glm.xlsx\", \"Supplemental Table 3_reproductive output contrasts.csv\", \"Supplemental Table 4_Pairwise_G-Test_DFU_adults.xlsx\", and \"Supplemental Table 5_VOC peak table.csv\" were added to dataset.]</p><p dir=\"ltr\"><i>Tribolium castaneum</i>, the red flour beetle, is a key pest of cereal grains and products that routinely infests food processing facilities. Such facilities represent dynamic environments comprising patches of resources of variable size and quality. To understand the influence of resource availability, insect density, and initial life stage on population regulation in <i>T. castaneum</i>, this study assessed the carrying capacity and population growth rates of <i>T. castaneum </i>populations<i> </i>kept for 20 weeks in a closed environment on four different amounts of diet at four starting population levels, then compared <i>T. castaneum</i> attraction to, reproductive output on, and the volatile profiles of previously-infested (e.g., conditioned) flour. Resource availability (e.g. the amount of flour) interacted with founding population density and life stage to influence <i>T. castaneum </i>population dynamics. In resource-limited patches, carrying capacity estimates were similar across founding densities, but the effect of founding population density on carrying capacity increased with flour availability. The opposite was observed for population growth rate, which tended to be more variable for small patches but stabilized as resource availability increased. Interestingly, both effects were reduced for populations founded as larvae compared to those founded as adults. The volatile profile of conditioned flour was also influenced by the interaction of patch size, density, and life stage. The relative abundance of 1-pentadecene and benzoquinones tended to be reduced in the volatile profiles of large patches, whereas 4,8-dimethyldecanal comprised a higher proportion of the total volatile emissions. Conditioned flour from large patches tended to be more attractive to <i>T. castaneum </i>adults, although this effect decreased as founding density increased. By contrast, when populations were founded as larvae, the volatile profiles of <i>T. castaneum </i>attraction to, and <i>T. castaneum </i>fecundity on conditioned flours were similar. These findings expand our understanding of how resource limitation and density-dependent effects influence <i>T. castaneum </i>population regulation and behavior, with implications for long-term trap monitoring and population thresholds in stored products.</p><p dir=\"ltr\">Supplemental Tables are included in the data files and referenced in the published manuscript.</p>","distribution":[{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/62174720","format":"txt","mediaType":"text/plain","title":"README_Tribolium_Density_MS.txt"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/62174723","format":"csv","mediaType":"text/csv","title":"StartAsAdult_Data.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/62174726","format":"csv","mediaType":"text/csv","title":"StartAsLarvae_Data.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/62174729","format":"csv","mediaType":"text/csv","title":"Supplemental Table 1.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/62174732","format":"csv","mediaType":"text/csv","title":"Supplemental Table 2.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/62174735","format":"csv","mediaType":"text/csv","title":"Supplemental Table 3.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/62174738","format":"xlsx","mediaType":"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet","title":"Supplemental Table 3.xlsx"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/62174741","format":"csv","mediaType":"text/csv","title":"Supplemental Table 4.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/62174744","format":"csv","mediaType":"text/csv","title":"VOC_Analysis_Data.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/62174747","format":"csv","mediaType":"text/csv","title":"Wind_Tunnel_Data.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/62174750","format":"csv","mediaType":"text/csv","title":"Fecundity_Data.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/62174753","format":"csv","mediaType":"text/csv","title":"Nutrient_Data.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/67471635","format":"xlsx","mediaType":"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet","title":"Supplemental Table 1_adult number g larvae.xlsx"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/67471638","format":"xlsx","mediaType":"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet","title":"Supplemental Table 2_flour loss glm.xlsx"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/67471641","format":"csv","mediaType":"text/plain","title":"Supplemental Table 3_reproductive output contrasts.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/67471644","format":"xlsx","mediaType":"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet","title":"Supplemental Table 4_Pairwise_G-Test_DFU_adults.xlsx"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/67471647","format":"csv","mediaType":"text/csv","title":"Supplemental Table 5_VOC peak table.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/68074549","format":"txt","mediaType":"text/plain","title":"README_Tribolium_Density_MS_ADDENDUM.txt"}],"identifier":"10.15482/USDA.ADC/31416551.v3","keyword":["Red Flour Beetle","Triboliiu castaneum","anemotaxis","carrying capacity limitations","density regulation","semiochemicals"],"license":"https://creativecommons.org/publicdomain/zero/1.0/","modified":"2026-08-31","programCode":["005:040"],"publisher":{"@type":"org:Organization","name":"Agricultural Research Service"},"temporal":"2022-07-01/2025-01-29","title":"Data from: How you start matters: Density, resource size, and life stage impact population levels for pest insects"},"description":"<p dir=\"ltr\">[Note 2026-08-31: File \"README_Tribolium_Density_MS_ADDENDUM.txt\" was added to dataset.]</p><p dir=\"ltr\">[Note 2026-08-12: Files \"Supplemental Table 1_adult number g larvae.xlsx\", \"Supplemental Table 2_flour loss glm.xlsx\", \"Supplemental Table 3_reproductive output contrasts.csv\", \"Supplemental Table 4_Pairwise_G-Test_DFU_adults.xlsx\", and \"Supplemental Table 5_VOC peak table.csv\" were added to dataset.]</p><p dir=\"ltr\"><i>Tribolium castaneum</i>, the red flour beetle, is a key pest of cereal grains and products that routinely infests food processing facilities. Such facilities represent dynamic environments comprising patches of resources of variable size and quality. To understand the influence of resource availability, insect density, and initial life stage on population regulation in <i>T. castaneum</i>, this study assessed the carrying capacity and population growth rates of <i>T. castaneum </i>populations<i> </i>kept for 20 weeks in a closed environment on four different amounts of diet at four starting population levels, then compared <i>T. castaneum</i> attraction to, reproductive output on, and the volatile profiles of previously-infested (e.g., conditioned) flour. Resource availability (e.g. the amount of flour) interacted with founding population density and life stage to influence <i>T. castaneum </i>population dynamics. In resource-limited patches, carrying capacity estimates were similar across founding densities, but the effect of founding population density on carrying capacity increased with flour availability. The opposite was observed for population growth rate, which tended to be more variable for small patches but stabilized as resource availability increased. Interestingly, both effects were reduced for populations founded as larvae compared to those founded as adults. The volatile profile of conditioned flour was also influenced by the interaction of patch size, density, and life stage. The relative abundance of 1-pentadecene and benzoquinones tended to be reduced in the volatile profiles of large patches, whereas 4,8-dimethyldecanal comprised a higher proportion of the total volatile emissions. Conditioned flour from large patches tended to be more attractive to <i>T. castaneum </i>adults, although this effect decreased as founding density increased. By contrast, when populations were founded as larvae, the volatile profiles of <i>T. castaneum </i>attraction to, and <i>T. castaneum </i>fecundity on conditioned flours were similar. These findings expand our understanding of how resource limitation and density-dependent effects influence <i>T. castaneum </i>population regulation and behavior, with implications for long-term trap monitoring and population thresholds in stored products.</p><p dir=\"ltr\">Supplemental Tables are included in the data files and referenced in the published manuscript.</p>","distribution_titles":["README_Tribolium_Density_MS.txt","StartAsAdult_Data.csv","StartAsLarvae_Data.csv","Supplemental Table 1.csv","Supplemental Table 2.csv","Supplemental Table 3.csv","Supplemental Table 3.xlsx","Supplemental Table 4.csv","VOC_Analysis_Data.csv","Wind_Tunnel_Data.csv","Fecundity_Data.csv","Nutrient_Data.csv","Supplemental Table 1_adult number g larvae.xlsx","Supplemental Table 2_flour loss glm.xlsx","Supplemental Table 3_reproductive output contrasts.csv","Supplemental Table 4_Pairwise_G-Test_DFU_adults.xlsx","Supplemental Table 5_VOC peak table.csv","README_Tribolium_Density_MS_ADDENDUM.txt"],"harvest_record":"https://catalog.data.gov/harvest_record/03ce771c-cc47-472e-9448-d42975c5ffe5","harvest_record_raw":"https://catalog.data.gov/harvest_record/03ce771c-cc47-472e-9448-d42975c5ffe5/raw","has_download":true,"has_spatial":false,"identifier":"10.15482/USDA.ADC/31416551.v3","keyword":["Red Flour Beetle","Triboliiu castaneum","anemotaxis","carrying capacity limitations","density regulation","semiochemicals"],"last_harvested_date":"2026-09-30T21:31:06.890974","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"352b4532-793d-4075-a03f-05b778a3c43a","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/usda.png","name":"Department of Agriculture","organization_type":"Federal Government","slug":"usda"},"parent_identifier":null,"popularity":3,"publisher":"Agricultural Research Service","slug":"data-from-how-you-start-matters-density-resource-size-and-life-stage-impact-population-lev","spatial_centroid":null,"spatial_shape":null,"theme":[],"title":"Data from: How you start matters: Density, resource size, and life stage impact population levels for pest insects","type":"dataset"},{"_score":47.320053,"_sort":[1790803861074,47.320053,1,"07a03d07-67fd-4edf-b170-c6bad8f0820d"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","accrualPeriodicity":"R/P1Y","bureauCode":["005:18"],"contactPoint":{"fn":"Ewing, Patrick M.","hasEmail":"mailto:patrick.ewing@usda.gov"},"description":"<p dir=\"ltr\">This data examines the impact of genotype, environment, and crop management practices on oat (<i>Avena sativa</i> L.) grain yield, milling quality, and nutritional content over three growing seasons (2021-2023). Data were collected at the USDA-ARS-managed Eastern South Dakota Soil and Water Research Farm in Brookings, South Dakota. Treatments included three oat varieties with differing plant architectures, planted at three populations, and co-established (or not) with a medium red clover (<i>Trifolium pratense</i> L.) green manure. Data include weather and oat performance - the latter of which includes biomass and grain yield, grain milling quality, and grain nutrient content. Code to analyze the data and produce figures in the peer-reviewed manuscript is also included. Please see the Metadata for column descriptions.</p><p><br></p><p dir=\"ltr\"><b>NOTICE</b></p><ul><li><b>This repository has been archived and is no longer maintained.</b></li><li>The code is provided for historical reference and <b>may</b> contain unpatched or unknown vulnerabilities.</li><li>It should <b>not</b> be used in production systems.</li></ul><p></p>","distribution":[{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/65657697","format":"sas","mediaType":"text/plain","title":"Oat_2021_2023.sas"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/65657703","format":"Rmd","mediaType":"text/plain","title":"Oat-clover_correlation&tradeoff.Rmd"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/65657706","format":"Rmd","mediaType":"text/plain","title":"Oat-clover_Weather_data.Rmd"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/65657709","format":"csv","mediaType":"text/csv","title":"Oats_2021_2023.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/65657712","format":"docx","mediaType":"application/vnd.openxmlformats-officedocument.wordprocessingml.document","title":"SAS script for grain yield and quality analysis.docx"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/65657715","format":"csv","mediaType":"text/csv","title":"Weather_Precip_Temp_updated.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/65657721","format":"docx","mediaType":"application/vnd.openxmlformats-officedocument.wordprocessingml.document","title":"Metadata for grain yield and quality and weather data for oat study 2021_2023.docx"}],"identifier":"10.15482/USDA.ADC/28597334.v1","keyword":["Grain quality","Management tactics","Nutritional traits","Oat genotypes","Weather variability","source code"],"license":"https://www.usa.gov/publicdomain/label/1.0/","modified":"2026-09-14","programCode":["005:040"],"publisher":{"@type":"org:Organization","name":"Agricultural Research Service"},"spatial":"{\"type\": \"Polygon\", \"coordinates\": [[[-96.80578316109442, 44.34997695552039], [-96.80419219677289, 44.34997695552039], [-96.80419219677289, 44.35168406686904], [-96.80578316109442, 44.35168406686904], [-96.80578316109442, 44.34997695552039]]]}","temporal":"2021-04-01/2023-09-30","title":"Data from: Genotype, environment and management effect on grain yield and milling quality of oat in Northern Great Plains"},"description":"<p dir=\"ltr\">This data examines the impact of genotype, environment, and crop management practices on oat (<i>Avena sativa</i> L.) grain yield, milling quality, and nutritional content over three growing seasons (2021-2023). 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Please see the Metadata for column descriptions.</p><p><br></p><p dir=\"ltr\"><b>NOTICE</b></p><ul><li><b>This repository has been archived and is no longer maintained.</b></li><li>The code is provided for historical reference and <b>may</b> contain unpatched or unknown vulnerabilities.</li><li>It should <b>not</b> be used in production systems.</li></ul><p></p>","distribution_titles":["Oat_2021_2023.sas","Oat-clover_correlation&tradeoff.Rmd","Oat-clover_Weather_data.Rmd","Oats_2021_2023.csv","SAS script for grain yield and quality analysis.docx","Weather_Precip_Temp_updated.csv","Metadata for grain yield and quality and weather data for oat study 2021_2023.docx"],"harvest_record":"https://catalog.data.gov/harvest_record/157c7242-e6c0-4aa9-9c6f-bd9bfa2c56c0","harvest_record_raw":"https://catalog.data.gov/harvest_record/157c7242-e6c0-4aa9-9c6f-bd9bfa2c56c0/raw","has_download":true,"has_spatial":true,"identifier":"10.15482/USDA.ADC/28597334.v1","keyword":["Grain quality","Management tactics","Nutritional traits","Oat genotypes","Weather variability","source code"],"last_harvested_date":"2026-09-30T21:31:01.074724","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"352b4532-793d-4075-a03f-05b778a3c43a","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/usda.png","name":"Department of Agriculture","organization_type":"Federal Government","slug":"usda"},"parent_identifier":null,"popularity":1,"publisher":"Agricultural Research Service","slug":"data-from-genotype-environment-and-management-effect-on-grain-yield-and-milling-quality-of","spatial_centroid":{"lat":44.35065980005985,"lon":-96.80514677536581},"spatial_shape":{"coordinates":[[[-96.80578316109442,44.34997695552039],[-96.80419219677289,44.34997695552039],[-96.80419219677289,44.35168406686904],[-96.80578316109442,44.35168406686904],[-96.80578316109442,44.34997695552039]]],"type":"Polygon"},"theme":[],"title":"Data from: Genotype, environment and management effect on grain yield and milling quality of oat in Northern Great Plains","type":"dataset"},{"_score":32.40976,"_sort":[1790803856437,32.40976,0,"8ddaa15c-f0c8-4132-b7bb-025e4679dad5"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["005:18"],"contactPoint":{"fn":"Copeland, Stella","hasEmail":"mailto:stella.copeland@usda.gov"},"description":"<p dir=\"ltr\">[NOTE 2026-09-04: Data files revised]</p><p dir=\"ltr\">Crested wheatgrass is widely, and historically, seeded across sagebrush steppe rangelands to increase perennial cover and compete with invasive annual grasses post-fire, however, outcomes vary, likely due to complex combinations of site environmental variables and weather. This study examines variation in vegetation characteristics in post-fire areas associated with crested wheatgrass seeding, and environmental variables, in the northern Great Basin. We selected 124 treatments on Bureau of Land Management lands seeded post-fire with crested wheatgrass over the past two decades in two ecoregions (Snake River Plain, Northern Basin and Range). We selected target 30 m pixels and matched them to 150 reference pixels based on environmental similarity and burn severity within 0.3-3.5 km radius in unseeded areas. We compared change overtime post-seeding in the target pixels to reference pixels with a synthetic control method, comparing pre-fire differences in vegetation between target and reference pixels to post-seeding outcomes. We extracted effect sizes at 5 and 10 years post-fire. 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We tested for the effects of fire severity, elevation, sand content, and spring precipitation in two time points on seeding effects for each type of cover.</p>","distribution_titles":["burn_trt_yrs.csv","burn_trt_yrs_metadata.csv","core_data.csv","core_data_metadata.txt","tgt_pix_centroid.zip","ref_pix_centroid.zip","TrtPoly.zip"],"harvest_record":"https://catalog.data.gov/harvest_record/204e2b8d-1f6b-4af1-a4ca-f3b1759c6756","harvest_record_raw":"https://catalog.data.gov/harvest_record/204e2b8d-1f6b-4af1-a4ca-f3b1759c6756/raw","has_download":true,"has_spatial":false,"identifier":"10.15482/USDA.ADC/30811058.v2","keyword":["bare ground","crested wheatgrass","invasive annual grasses","sagebrush steppe","shrub","synthetic control"],"last_harvested_date":"2026-09-30T21:30:56.437469","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"352b4532-793d-4075-a03f-05b778a3c43a","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/usda.png","name":"Department of Agriculture","organization_type":"Federal Government","slug":"usda"},"parent_identifier":null,"popularity":0,"publisher":"Agricultural Research Service","slug":"data-from-variability-in-vegetation-outcomes-in-widespread-post-fire-non-native-perennial-","spatial_centroid":null,"spatial_shape":null,"theme":[],"title":"Data from: Variability in vegetation outcomes in widespread post-fire non-native perennial grass seedings associated with site environment and weather","type":"dataset"},{"_score":3.7073069,"_sort":[1790803240214,3.7073069,2,"6c61f8c3-5627-4086-af57-00e6e537f626"],"dcat":{"accessLevel":"public","bureauCode":["010:24"],"contactPoint":{"@type":"vcard:Contact","fn":"NPS IRMA Help","hasEmail":"mailto:NRSS_DataStore@nps.gov"},"description":"Inventory of intertidal fish in Ebey's Landing National Historical Reserve tabular data 2001-2005.Coastal and Fisheries staff from Olympic National Park conducted a 3-day inventory of intertidal fishes adjacent to the shoreline of Ebey\u2019s Landing National Historical Reserve. Beach seine sampling was employed in all intertidal habitats on both the Admiralty Inlet and Penn Cove shorelines. A total of 31 locations were sampled, resulting in documentation of 28 species. The habitats in both of these regions include sand, gravel, cobble, and boulder beaches. Fish community composition in both regions was dominated by juvenile salmon, particularly chum salmon smolts, however the communities in each region were significantly different from each other. 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An adequate canopy provides shade, cooling, reduces water evaporation, and is an indication of a healthy and well-maintained environment. As per the Urban Forestry Master Plan, this data represents tree canopy in parks, street right-of-ways, and municipally owned and managed facilities.</p><p><span style='font-family:inherit;'><span style='border:0px solid currentcolor; box-sizing:border-box; line-height:1.5;'>The performance measure dashboard is available at&nbsp;</span></span><a target='_blank' href='https://my.achieveit.com/pub/cd/dash-deaa115d290e' rel='nofollow ugc noopener noreferrer'>4.11 Tree Coverage</a><br />&nbsp;</p><p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:17.12px; margin:0in 0in 0in 0px; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>&nbsp;</p><p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:17.12px; margin:0in 0in 0in 0px; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'><a style='border:0px solid currentcolor; box-sizing:border-box; color:rgb(0, 97, 155); font-family:inherit; line-height:1.5; text-decoration:none;' target='_blank' href='https://tempe.gitbook.io/data-dictionary/environment-and-sustainability/4.11-tree-coverage' rel='nofollow ugc noopener noreferrer'><span style='font-family:inherit; font-size:18px;'><span style='border:0px solid currentcolor; box-sizing:border-box; line-height:1.5;'><strong>Data Dictionary</strong></span></span></a></p><p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:17.12px; margin:0in 0in 0in 0px; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>&nbsp;</p><div style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'><hr /><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><p style='border:0px solid currentcolor; box-sizing:border-box; margin:0px 0px 1rem;'><span style='font-family:inherit; font-size:18px;'><span style='border:0px solid currentcolor; box-sizing:border-box; line-height:1.5;'><strong>Additional Information&nbsp;</strong></span></span></p><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><span style='color:hsl(240,3%,30%); font-family:inherit;'><span style='border:0px solid currentcolor; box-sizing:border-box; line-height:1.5;'><strong>Source:</strong>&nbsp;</span></span></div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Contact:</strong>\u202f <span style='background-color:rgb(255,255,255); color:rgb(74,74,74); font-family:inherit; font-size:16px;'><span style='border:0px solid currentcolor; box-sizing:border-box; display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>Craig Hayton</span></span></div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Contact E-Mail:\u202f</strong><a style='border:0px solid currentcolor; box-sizing:border-box; color:rgb(0, 97, 155); font-family:inherit; line-height:1.5; text-decoration:none;' href='mailto:Craig_Hayton@tempe.gov' rel='nofollow ugc'>Craig_Hayton@tempe.gov</a></div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Data Source Type</strong>:\u202f <span style='background-color:rgb(255,255,255); color:rgb(74,74,74); font-family:inherit; font-size:16px;'><span style='border:0px solid currentcolor; box-sizing:border-box; display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>CSV</span></span></div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Preparation Method:</strong>\u202f&nbsp;<span style='background-color:rgb(255,255,255); color:rgb(74,74,74); font-family:inherit; font-size:16px;'><span style='border:0px solid currentcolor; box-sizing:border-box; display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>Tracked by staff quarterly</span></span></div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Publish Frequency:</strong>\u202f Annual</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Publish Method:\u202f</strong>Manual</div></div></div></div>","distribution":[{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/adf739463c1142ba813d13a9969afbda/csv?layers=0","format":"CSV","mediaType":"text/csv","title":"CSV"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/adf739463c1142ba813d13a9969afbda/geojson?layers=0","format":"GeoJSON","mediaType":"application/vnd.geo+json","title":"GeoJSON"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/adf739463c1142ba813d13a9969afbda/kml?layers=0","format":"KML","mediaType":"application/vnd.google-earth.kml+xml","title":"KML"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/adf739463c1142ba813d13a9969afbda/shapefile?layers=0","format":"ZIP","mediaType":"application/zip","title":"Shapefile"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/datasets/tempegov::4-11-tree-coverage-summary","format":"Web Page","mediaType":"text/html","title":"ArcGIS Hub Dataset"},{"@type":"dcat:Distribution","accessURL":"https://services.arcgis.com/lQySeXwbBg53XWDi/arcgis/rest/services/4.11_Tree_Coverage_(summary)_-_OD/FeatureServer/0","format":"ArcGIS GeoServices REST API","mediaType":"application/json","title":"ArcGIS GeoService"}],"identifier":"https://www.arcgis.com/home/item.html?id=adf739463c1142ba813d13a9969afbda&sublayer=0","issued":"2026-09-03T01:08:13.000Z","keyword":["Sustainability","Sustainable Growth and Development","Tree Coverage (PM 4.11)","Trees","Urban Forest"],"landingPage":"https://data.tempe.gov/datasets/tempegov::4-11-tree-coverage-summary","license":"https://creativecommons.org/licenses/by/4.0","modified":"2026-09-22T22:24:24.072Z","publisher":{"name":"City of Tempe"},"spatial":"\"\"","theme":["geospatial"],"title":"4.11 Tree Coverage (summary)"},"description":"<p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px 0px 1rem; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>This page provides data for the Tree and Shade Canopy performance measure.</p><p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px 0px 1rem; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>Sustainable growth for the City of Tempe is influenced by many factors, including the development and maintenance of our tree canopy. An adequate canopy provides shade, cooling, reduces water evaporation, and is an indication of a healthy and well-maintained environment. As per the Urban Forestry Master Plan, this data represents tree canopy in parks, street right-of-ways, and municipally owned and managed facilities.</p><p><span style='font-family:inherit;'><span style='border:0px solid currentcolor; box-sizing:border-box; line-height:1.5;'>The performance measure dashboard is available at&nbsp;</span></span><a target='_blank' href='https://my.achieveit.com/pub/cd/dash-deaa115d290e' rel='nofollow ugc noopener noreferrer'>4.11 Tree Coverage</a><br />&nbsp;</p><p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:17.12px; margin:0in 0in 0in 0px; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>&nbsp;</p><p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:17.12px; margin:0in 0in 0in 0px; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'><a style='border:0px solid currentcolor; box-sizing:border-box; color:rgb(0, 97, 155); font-family:inherit; line-height:1.5; text-decoration:none;' target='_blank' href='https://tempe.gitbook.io/data-dictionary/environment-and-sustainability/4.11-tree-coverage' rel='nofollow ugc noopener noreferrer'><span style='font-family:inherit; font-size:18px;'><span style='border:0px solid currentcolor; box-sizing:border-box; line-height:1.5;'><strong>Data Dictionary</strong></span></span></a></p><p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:17.12px; margin:0in 0in 0in 0px; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>&nbsp;</p><div style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'><hr /><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><p style='border:0px solid currentcolor; box-sizing:border-box; margin:0px 0px 1rem;'><span style='font-family:inherit; font-size:18px;'><span style='border:0px solid currentcolor; box-sizing:border-box; line-height:1.5;'><strong>Additional Information&nbsp;</strong></span></span></p><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><span style='color:hsl(240,3%,30%); font-family:inherit;'><span style='border:0px solid currentcolor; box-sizing:border-box; line-height:1.5;'><strong>Source:</strong>&nbsp;</span></span></div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Contact:</strong>\u202f <span style='background-color:rgb(255,255,255); color:rgb(74,74,74); font-family:inherit; font-size:16px;'><span style='border:0px solid currentcolor; box-sizing:border-box; display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>Craig Hayton</span></span></div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Contact E-Mail:\u202f</strong><a style='border:0px solid currentcolor; box-sizing:border-box; color:rgb(0, 97, 155); font-family:inherit; line-height:1.5; text-decoration:none;' href='mailto:Craig_Hayton@tempe.gov' rel='nofollow ugc'>Craig_Hayton@tempe.gov</a></div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Data Source Type</strong>:\u202f <span style='background-color:rgb(255,255,255); color:rgb(74,74,74); font-family:inherit; font-size:16px;'><span style='border:0px solid currentcolor; box-sizing:border-box; display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>CSV</span></span></div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Preparation Method:</strong>\u202f&nbsp;<span style='background-color:rgb(255,255,255); color:rgb(74,74,74); font-family:inherit; font-size:16px;'><span style='border:0px solid currentcolor; box-sizing:border-box; display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>Tracked by staff quarterly</span></span></div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Publish Frequency:</strong>\u202f Annual</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Publish Method:\u202f</strong>Manual</div></div></div></div>","distribution_titles":["CSV","GeoJSON","KML","Shapefile","ArcGIS Hub Dataset","ArcGIS GeoService"],"harvest_record":"https://catalog.data.gov/harvest_record/79c8e9b8-1b71-42ea-9ede-df46dcaa94db","harvest_record_raw":"https://catalog.data.gov/harvest_record/79c8e9b8-1b71-42ea-9ede-df46dcaa94db/raw","has_download":false,"has_spatial":true,"identifier":"https://www.arcgis.com/home/item.html?id=adf739463c1142ba813d13a9969afbda&sublayer=0","keyword":["Sustainability","Sustainable Growth and Development","Tree Coverage (PM 4.11)","Trees","Urban Forest"],"last_harvested_date":"2026-09-30T19:01:16.246933","organization":{"aliases":["arizona"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"4b9a2b4d-f9e1-4898-aa2c-32d13e44b5a1","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_tempe_az.png","name":"City of Tempe","organization_type":"City Government","slug":"tempe-az"},"parent_identifier":null,"popularity":1,"publisher":"City of Tempe","slug":"4-11-tree-coverage-summary","spatial_centroid":null,"spatial_shape":null,"theme":["geospatial"],"title":"4.11 Tree Coverage (summary)","type":"dataset"},{"_score":2.998232,"_sort":[1790794876053,2.998232,0,"8998d91a-18f4-4c65-b51c-68507a8e18e1"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"TempeData","hasEmail":"mailto:data@tempe.gov"},"description":"<p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px 0px 1rem; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>This page provides data for the Facilities Conditions Index performance measure.&nbsp;</p><p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px 0px 1rem; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>Regular assessments of the condition of city facilities are important. An outcome of the assessments is the Facilities Condition Index (FCI). This index rates facilities based on their current condition. The FCI indicates the ratio of assets repair costs to the replacement value of the entire building. The lower the FCI ratio, the better the condition of the building.</p><p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px 0px 1rem; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>This dataset provides the current FCI value for each city-owned facility. The FCI is generated quarterly for individual facilities and then calculated for the City overall.</p><p><span style='font-family:inherit;'><span style='border:0px solid currentcolor; box-sizing:border-box; line-height:1.5;'>The performance measure dashboard is available at&nbsp;</span></span><a target='_blank' href='https://my.achieveit.com/pub/cd/dash-2e1d5bcfe697' rel='nofollow ugc noopener noreferrer'>4.14 Facilities Conditions Index</a><br />&nbsp;</p><p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:17.12px; margin:0in 0in 0in 0px; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>&nbsp;</p><p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:17.12px; margin:0in 0in 0in 0px; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'><a style='border:0px solid currentcolor; box-sizing:border-box; color:rgb(0, 97, 155); font-family:inherit; line-height:1.5; text-decoration:none;' target='_blank' href='https://tempe.gitbook.io/data-dictionary/environment-and-sustainability/4.14-facilities-conditions-index' rel='nofollow ugc noopener noreferrer'><span style='font-family:inherit; font-size:18px;'><span style='border:0px solid currentcolor; box-sizing:border-box; line-height:1.5;'><strong>Data Dictionary</strong></span></span></a></p><p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:17.12px; margin:0in 0in 0in 0px; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>&nbsp;</p><div style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'><hr /><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><p style='border:0px solid currentcolor; box-sizing:border-box; margin:0px 0px 1rem;'><span style='font-family:inherit; font-size:18px;'><span style='border:0px solid currentcolor; box-sizing:border-box; line-height:1.5;'><strong>Additional Information&nbsp;</strong></span></span></p><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><span style='color:hsl(240,3%,30%); font-family:inherit;'><span style='border:0px solid currentcolor; box-sizing:border-box; line-height:1.5;'><strong>Source:</strong>&nbsp;</span></span></div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Contact:</strong>\u202f <span style='background-color:rgb(255,255,255); color:rgb(74,74,74); font-family:inherit; font-size:16px;'><span style='border:0px solid currentcolor; box-sizing:border-box; display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>Dana Janofsky</span></span></div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Contact E-Mail:\u202f</strong><a style='border:0px solid currentcolor; box-sizing:border-box; color:rgb(0, 97, 155); font-family:inherit; line-height:1.5; text-decoration:none;' href='mailto:Dana_Janofsky@tempe.gov' rel='nofollow ugc'>Dana_Janofsky@tempe.gov</a></div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Data Source Type</strong>:\u202f <span style='background-color:rgb(255,255,255); color:rgb(74,74,74); font-family:inherit; font-size:16px;'><span style='border:0px solid currentcolor; box-sizing:border-box; display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>Facilitize</span></span></div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Preparation Method:</strong>\u202f&nbsp;<span style='background-color:rgb(255,255,255); color:rgb(74,74,74); font-family:inherit; font-size:16px;'><span style='border:0px solid currentcolor; box-sizing:border-box; display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>Reports are generated from Facilitize and exported as Excel spreadsheets</span></span></div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Publish Frequency:</strong>\u202f Annual</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Publish Method:\u202f</strong>Manual</div></div></div></div>","distribution":[{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/e80eba57e00f48278a5f830bb3a91d38/csv?layers=0","format":"CSV","mediaType":"text/csv","title":"CSV"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/e80eba57e00f48278a5f830bb3a91d38/geojson?layers=0","format":"GeoJSON","mediaType":"application/vnd.geo+json","title":"GeoJSON"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/e80eba57e00f48278a5f830bb3a91d38/kml?layers=0","format":"KML","mediaType":"application/vnd.google-earth.kml+xml","title":"KML"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/e80eba57e00f48278a5f830bb3a91d38/shapefile?layers=0","format":"ZIP","mediaType":"application/zip","title":"Shapefile"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/datasets/tempegov::4-14-facilities-conditions-index-summary","format":"Web Page","mediaType":"text/html","title":"ArcGIS Hub Dataset"},{"@type":"dcat:Distribution","accessURL":"https://services.arcgis.com/lQySeXwbBg53XWDi/arcgis/rest/services/4.14_Facilities_Conditions_Index_(summary)_-_OD/FeatureServer/0","format":"ArcGIS GeoServices REST API","mediaType":"application/json","title":"ArcGIS GeoService"}],"identifier":"https://www.arcgis.com/home/item.html?id=e80eba57e00f48278a5f830bb3a91d38&sublayer=0","issued":"2026-09-03T01:15:02.000Z","keyword":["Facilities","Facilities Conditions Index (PM 4.14)","Performance Measures","Strategic Priorities","Sustianable Growth and Development"],"landingPage":"https://data.tempe.gov/datasets/tempegov::4-14-facilities-conditions-index-summary","license":"https://creativecommons.org/licenses/by/4.0","modified":"2026-09-22T22:35:16.829Z","publisher":{"name":"City of Tempe"},"spatial":"\"\"","theme":["geospatial"],"title":"4.14 Facilities Conditions Index (summary)"},"description":"<p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px 0px 1rem; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>This page provides data for the Facilities Conditions Index performance measure.&nbsp;</p><p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px 0px 1rem; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>Regular assessments of the condition of city facilities are important. An outcome of the assessments is the Facilities Condition Index (FCI). This index rates facilities based on their current condition. The FCI indicates the ratio of assets repair costs to the replacement value of the entire building. The lower the FCI ratio, the better the condition of the building.</p><p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px 0px 1rem; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>This dataset provides the current FCI value for each city-owned facility. The FCI is generated quarterly for individual facilities and then calculated for the City overall.</p><p><span style='font-family:inherit;'><span style='border:0px solid currentcolor; box-sizing:border-box; line-height:1.5;'>The performance measure dashboard is available at&nbsp;</span></span><a target='_blank' href='https://my.achieveit.com/pub/cd/dash-2e1d5bcfe697' rel='nofollow ugc noopener noreferrer'>4.14 Facilities Conditions Index</a><br />&nbsp;</p><p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:17.12px; margin:0in 0in 0in 0px; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>&nbsp;</p><p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:17.12px; margin:0in 0in 0in 0px; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'><a style='border:0px solid currentcolor; box-sizing:border-box; color:rgb(0, 97, 155); font-family:inherit; line-height:1.5; text-decoration:none;' target='_blank' href='https://tempe.gitbook.io/data-dictionary/environment-and-sustainability/4.14-facilities-conditions-index' rel='nofollow ugc noopener noreferrer'><span style='font-family:inherit; font-size:18px;'><span style='border:0px solid currentcolor; box-sizing:border-box; line-height:1.5;'><strong>Data Dictionary</strong></span></span></a></p><p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:17.12px; margin:0in 0in 0in 0px; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>&nbsp;</p><div style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'><hr /><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><p style='border:0px solid currentcolor; box-sizing:border-box; margin:0px 0px 1rem;'><span style='font-family:inherit; font-size:18px;'><span style='border:0px solid currentcolor; box-sizing:border-box; line-height:1.5;'><strong>Additional Information&nbsp;</strong></span></span></p><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><span style='color:hsl(240,3%,30%); font-family:inherit;'><span style='border:0px solid currentcolor; box-sizing:border-box; line-height:1.5;'><strong>Source:</strong>&nbsp;</span></span></div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Contact:</strong>\u202f <span style='background-color:rgb(255,255,255); color:rgb(74,74,74); font-family:inherit; font-size:16px;'><span style='border:0px solid currentcolor; box-sizing:border-box; display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>Dana Janofsky</span></span></div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Contact E-Mail:\u202f</strong><a style='border:0px solid currentcolor; box-sizing:border-box; color:rgb(0, 97, 155); font-family:inherit; line-height:1.5; text-decoration:none;' href='mailto:Dana_Janofsky@tempe.gov' rel='nofollow ugc'>Dana_Janofsky@tempe.gov</a></div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Data Source Type</strong>:\u202f <span style='background-color:rgb(255,255,255); color:rgb(74,74,74); font-family:inherit; font-size:16px;'><span style='border:0px solid currentcolor; box-sizing:border-box; display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>Facilitize</span></span></div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Preparation Method:</strong>\u202f&nbsp;<span style='background-color:rgb(255,255,255); color:rgb(74,74,74); font-family:inherit; font-size:16px;'><span style='border:0px solid currentcolor; box-sizing:border-box; display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>Reports are generated from Facilitize and exported as Excel spreadsheets</span></span></div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Publish Frequency:</strong>\u202f Annual</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Publish Method:\u202f</strong>Manual</div></div></div></div>","distribution_titles":["CSV","GeoJSON","KML","Shapefile","ArcGIS Hub Dataset","ArcGIS GeoService"],"harvest_record":"https://catalog.data.gov/harvest_record/4e2d5312-c29b-4304-939d-7e3f644fe61d","harvest_record_raw":"https://catalog.data.gov/harvest_record/4e2d5312-c29b-4304-939d-7e3f644fe61d/raw","has_download":false,"has_spatial":true,"identifier":"https://www.arcgis.com/home/item.html?id=e80eba57e00f48278a5f830bb3a91d38&sublayer=0","keyword":["Facilities","Facilities Conditions Index (PM 4.14)","Performance Measures","Strategic Priorities","Sustianable Growth and Development"],"last_harvested_date":"2026-09-30T19:01:16.053567","organization":{"aliases":["arizona"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"4b9a2b4d-f9e1-4898-aa2c-32d13e44b5a1","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_tempe_az.png","name":"City of Tempe","organization_type":"City Government","slug":"tempe-az"},"parent_identifier":null,"popularity":0,"publisher":"City of Tempe","slug":"4-14-facilities-conditions-index-summary","spatial_centroid":null,"spatial_shape":null,"theme":["geospatial"],"title":"4.14 Facilities Conditions Index (summary)","type":"dataset"},{"_score":3.3191357,"_sort":[1790794875592,3.3191357,0,"445b4ddb-e5f1-4ddb-86b9-cf8b082e6a5f"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"TempeData","hasEmail":"mailto:data@tempe.gov"},"description":"<p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px 0px 1rem; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'><span style='background-color:rgb(255,255,255); color:rgb(74,74,74); font-family:inherit; font-size:16px;'><span style='border:0px solid currentcolor; box-sizing:border-box; display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>The Community Development Process Survey is an evaluation tool showing the City Council and the community our customer satisfaction levels during the course of processing an application. By collecting the survey responses, we can identify areas of satisfaction as well as steps for improvement. This dataset comes from collecting survey responses at each key step in the planning entitlement, plan review, permitting, and inspection processes.&nbsp;</span></span></p><p><span style='font-family:inherit;'><span style='border:0px solid currentcolor; box-sizing:border-box; line-height:1.5;'>The performance measure dashboard is available at&nbsp;</span></span><a target='_blank' href='https://my.achieveit.com/pub/cd/dash-e9f55596bf92' rel='nofollow ugc noopener noreferrer'>4.20 Community Development Process Survey</a><br />&nbsp;</p><p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:17.12px; margin:0in 0in 0in 0px; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>&nbsp;</p><p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:17.12px; margin:0in 0in 0in 0px; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'><a style='border:0px solid currentcolor; box-sizing:border-box; color:rgb(0, 97, 155); font-family:inherit; line-height:1.5; text-decoration:none;' target='_blank' href='https://tempe.gitbook.io/data-dictionary/environment-and-sustainability/4.20-community-development-process-survey' rel='nofollow ugc noopener noreferrer'><span style='font-family:inherit; font-size:18px;'><span style='border:0px solid currentcolor; box-sizing:border-box; line-height:1.5;'><strong>Data Dictionary</strong></span></span></a></p><p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:17.12px; margin:0in 0in 0in 0px; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>&nbsp;</p><div style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'><hr /><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><p style='border:0px solid currentcolor; box-sizing:border-box; margin:0px 0px 1rem;'><span style='font-family:inherit; font-size:18px;'><span style='border:0px solid currentcolor; box-sizing:border-box; line-height:1.5;'><strong>Additional Information&nbsp;</strong></span></span></p><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Source:</strong> <span style='background-color:rgb(255,255,255); color:rgb(74,74,74); font-family:inherit; font-size:16px;'><span style='border:0px solid currentcolor; box-sizing:border-box; display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>SurveyMonkey</span></span></div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Contact:</strong>\u202f <span style='background-color:rgb(255,255,255); color:rgb(74,74,74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><span style='display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>Jacob Payne</span></span></div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Contact E-Mail:\u202f</strong><a style='border:0px solid currentcolor; box-sizing:border-box; color:rgb(0, 97, 155); font-family:inherit; line-height:1.5; text-decoration:none;' href='mailto:Jacob_Payne@tempe.gov' rel='nofollow ugc'>Jacob_Payne@tempe.gov</a></div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Data Source Type</strong>:\u202f <span style='background-color:rgb(255,255,255); color:rgb(74,74,74); font-family:inherit; font-size:16px;'><span style='border:0px solid currentcolor; box-sizing:border-box; display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>Excel</span></span></div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Preparation Method:</strong>\u202f&nbsp;<span style='background-color:rgb(255,255,255); color:rgb(74,74,74); font-family:inherit; font-size:16px;'><span style='border:0px solid currentcolor; box-sizing:border-box; display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>SurveyMonkey</span></span></div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Publish Frequency:</strong>\u202f Annual</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Publish Method:\u202f</strong>Manual</div></div></div></div>","distribution":[{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/0809d8782fb84cec95563383bd70226a/csv?layers=0","format":"CSV","mediaType":"text/csv","title":"CSV"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/0809d8782fb84cec95563383bd70226a/geojson?layers=0","format":"GeoJSON","mediaType":"application/vnd.geo+json","title":"GeoJSON"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/0809d8782fb84cec95563383bd70226a/kml?layers=0","format":"KML","mediaType":"application/vnd.google-earth.kml+xml","title":"KML"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/0809d8782fb84cec95563383bd70226a/shapefile?layers=0","format":"ZIP","mediaType":"application/zip","title":"Shapefile"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/datasets/tempegov::4-20-community-development-process-survey-summary","format":"Web Page","mediaType":"text/html","title":"ArcGIS Hub Dataset"},{"@type":"dcat:Distribution","accessURL":"https://services.arcgis.com/lQySeXwbBg53XWDi/arcgis/rest/services/4.20_Community_Development_Process_Survey_(summary)_-_OD/FeatureServer/0","format":"ArcGIS GeoServices REST API","mediaType":"application/json","title":"ArcGIS GeoService"}],"identifier":"https://www.arcgis.com/home/item.html?id=0809d8782fb84cec95563383bd70226a&sublayer=0","issued":"2026-08-21T22:19:13.000Z","keyword":["4.20 Customer Satisfaction with Community Development Processes","Community Development","Satisfaction Survey","Sustainable Growth and Development"],"landingPage":"https://data.tempe.gov/datasets/tempegov::4-20-community-development-process-survey-summary","license":"https://creativecommons.org/licenses/by/4.0","modified":"2026-09-18T22:36:33.965Z","publisher":{"name":"City of Tempe"},"spatial":"\"\"","theme":["geospatial"],"title":"4.20 Community Development Process Survey (summary)"},"description":"<p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px 0px 1rem; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'><span style='background-color:rgb(255,255,255); color:rgb(74,74,74); font-family:inherit; font-size:16px;'><span style='border:0px solid currentcolor; box-sizing:border-box; display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>The Community Development Process Survey is an evaluation tool showing the City Council and the community our customer satisfaction levels during the course of processing an application. By collecting the survey responses, we can identify areas of satisfaction as well as steps for improvement. This dataset comes from collecting survey responses at each key step in the planning entitlement, plan review, permitting, and inspection processes.&nbsp;</span></span></p><p><span style='font-family:inherit;'><span style='border:0px solid currentcolor; box-sizing:border-box; line-height:1.5;'>The performance measure dashboard is available at&nbsp;</span></span><a target='_blank' href='https://my.achieveit.com/pub/cd/dash-e9f55596bf92' rel='nofollow ugc noopener noreferrer'>4.20 Community Development Process Survey</a><br />&nbsp;</p><p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:17.12px; margin:0in 0in 0in 0px; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>&nbsp;</p><p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:17.12px; margin:0in 0in 0in 0px; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'><a style='border:0px solid currentcolor; box-sizing:border-box; color:rgb(0, 97, 155); font-family:inherit; line-height:1.5; text-decoration:none;' target='_blank' href='https://tempe.gitbook.io/data-dictionary/environment-and-sustainability/4.20-community-development-process-survey' rel='nofollow ugc noopener noreferrer'><span style='font-family:inherit; font-size:18px;'><span style='border:0px solid currentcolor; box-sizing:border-box; line-height:1.5;'><strong>Data Dictionary</strong></span></span></a></p><p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:17.12px; margin:0in 0in 0in 0px; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>&nbsp;</p><div style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'><hr /><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><p style='border:0px solid currentcolor; box-sizing:border-box; margin:0px 0px 1rem;'><span style='font-family:inherit; font-size:18px;'><span style='border:0px solid currentcolor; box-sizing:border-box; line-height:1.5;'><strong>Additional Information&nbsp;</strong></span></span></p><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Source:</strong> <span style='background-color:rgb(255,255,255); color:rgb(74,74,74); font-family:inherit; font-size:16px;'><span style='border:0px solid currentcolor; box-sizing:border-box; display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>SurveyMonkey</span></span></div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Contact:</strong>\u202f <span style='background-color:rgb(255,255,255); color:rgb(74,74,74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><span style='display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>Jacob Payne</span></span></div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Contact E-Mail:\u202f</strong><a style='border:0px solid currentcolor; box-sizing:border-box; color:rgb(0, 97, 155); font-family:inherit; line-height:1.5; text-decoration:none;' href='mailto:Jacob_Payne@tempe.gov' rel='nofollow ugc'>Jacob_Payne@tempe.gov</a></div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Data Source Type</strong>:\u202f <span style='background-color:rgb(255,255,255); color:rgb(74,74,74); font-family:inherit; font-size:16px;'><span style='border:0px solid currentcolor; box-sizing:border-box; display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>Excel</span></span></div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Preparation Method:</strong>\u202f&nbsp;<span style='background-color:rgb(255,255,255); color:rgb(74,74,74); font-family:inherit; font-size:16px;'><span style='border:0px solid currentcolor; box-sizing:border-box; display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>SurveyMonkey</span></span></div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Publish Frequency:</strong>\u202f Annual</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Publish Method:\u202f</strong>Manual</div></div></div></div>","distribution_titles":["CSV","GeoJSON","KML","Shapefile","ArcGIS Hub Dataset","ArcGIS GeoService"],"harvest_record":"https://catalog.data.gov/harvest_record/52bdd6a1-7486-413a-a381-14f460aa4cbc","harvest_record_raw":"https://catalog.data.gov/harvest_record/52bdd6a1-7486-413a-a381-14f460aa4cbc/raw","has_download":false,"has_spatial":true,"identifier":"https://www.arcgis.com/home/item.html?id=0809d8782fb84cec95563383bd70226a&sublayer=0","keyword":["4.20 Customer Satisfaction with Community Development Processes","Community Development","Satisfaction Survey","Sustainable Growth and Development"],"last_harvested_date":"2026-09-30T19:01:15.592927","organization":{"aliases":["arizona"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"4b9a2b4d-f9e1-4898-aa2c-32d13e44b5a1","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_tempe_az.png","name":"City of Tempe","organization_type":"City Government","slug":"tempe-az"},"parent_identifier":null,"popularity":0,"publisher":"City of Tempe","slug":"4-20-community-development-process-survey-summary","spatial_centroid":null,"spatial_shape":null,"theme":["geospatial"],"title":"4.20 Community Development Process Survey (summary)","type":"dataset"},{"_score":4.586918,"_sort":[1790794676693,4.586918,20,"14b83e9f-0c8f-464d-bd03-bf61a5ec0b7d"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"Ward, Evan L","hasEmail":"mailto:open.data@seattle.gov"},"description":"Records of Seattle Fire Department (SFD) permits related to decommissioning of a residential heating oil tank, permit code 6103.  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For more information see <a href=\"https://www.seattle.gov/utilities/about/plans/solid-waste/about-solid-waste\">https://www.seattle.gov/utilities/about/plans/solid-waste/about-solid-waste</a>.","distribution":[{"@type":"dcat:Distribution","describedBy":"https://cos-data.seattle.gov/api/views/293h-ej5h/columns.json","describedByType":"application/json","downloadURL":"https://cos-data.seattle.gov/api/v3/views/293h-ej5h/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://cos-data.seattle.gov/api/views/293h-ej5h/columns.xml","describedByType":"application/xml","downloadURL":"https://cos-data.seattle.gov/api/v3/views/293h-ej5h/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://cos-data.seattle.gov/api/v3/views/293h-ej5h/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"}],"identifier":"https://cos-data.seattle.gov/api/views/293h-ej5h","issued":"2023-01-05","keyword":["facility","garbage","organics","recycle","residential","self-haul","solid waste","tonnage","yard waste"],"landingPage":"https://cos-data.seattle.gov/d/293h-ej5h","modified":"2026-09-30","publisher":{"@type":"org:Organization","name":"data.seattle.gov"},"theme":["Built Environment"],"title":"SPU Solid Waste Tons and Trips Data"},"description":"SPU Solid Waste Tons and Trips provides daily collection tonnages from the residential sector that are collected by contracted haulers. 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On May 1, 2026, the DOE was fully restored and took on those responsibilities once again.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/1722c68b-e9be-4599-8b1d-062af8ac3702","harvest_record_raw":"https://catalog.data.gov/harvest_record/1722c68b-e9be-4599-8b1d-062af8ac3702/raw","has_download":true,"has_spatial":false,"identifier":"https://data.cityofchicago.org/api/views/yqn4-3th2","keyword":["environmental enforcement","environmental health"],"last_harvested_date":"2026-09-30T18:54:04.919173","organization":{"aliases":["illiniois"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7ba1dcf3-0855-491e-bd62-1625f38972b9","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_chicago_il.png","name":"City of Chicago","organization_type":"City Government","slug":"chicago-il"},"parent_identifier":null,"popularity":2,"publisher":"data.cityofchicago.org","slug":"cdph-environmental-enforcement","spatial_centroid":null,"spatial_shape":null,"theme":["Environment & Sustainable Development"],"title":"DOE Environmental Enforcement","type":"dataset"},{"_score":6.6260777,"_sort":[1790794441286,6.6260777,12,"3e2cd6a5-b8d5-4cb8-bd84-b84de00feb83"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"M\u00f3rr\u00edgan Sullivan","hasEmail":"mailto:no-reply@data.cityofchicago.org"},"description":"Sensors deployed throughout the City by Open Air Chicago measuring fine particulate matter 2.5 (PM2.5) and nitrogen dioxide (NO2). 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Other metrics have raw data processed further in the Clarity cloud. We call these metrics \"cloud-calibrated.\" Examples are PM2.5 and NO2, which have a global correction factor applied. Column names end in either .raw or .value. For direct-from-sensor metrics, raw and value are the same. For cloud-calibrated metrics raw is from the sensor and value is cloud-calibrated and different from raw.\n\nFor more information, please visit:  \nwww.clarity.io/blog/v2-1-pm2-5-global-calibration\nwww.clarity.io/blog/introducing-claritys-global-no2-calibration-model.\n\nMetrics related to black carbon, ambient temperature, relative humidity, and wind speed and direction are for research purposes being conducted by UIC SPH. In addition to the 277 sensors deployed as part of the Open Air Chicago network, there are additional sensors installed at federal monitoring sites to inform the development of a potential local correction factor. \n\nThis dataset is limited to measurements that have met Clarity's automated data quality control checks to ensure the data are high quality. For more information, please visit: https://click.clarity.io/knowledge/quality-control. If you are interested a dataset that includes invalidated data, please submit a data request at <a href=\"https://www.chicago.gov/city/en/depts/cdph/provdrs/health_data_and_reports/svcs/data-request-form.html\" target=\"_blank\">this link</a>.\n\nOpen Air Chicago is a citywide project consisting of 277 non-regulatory, air sensors installed in Summer 2025. It was founded by the Chicago Department of Public Health (CDPH) and the University of Illinois at Chicago School of Public Health (UIC SPH). 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Congressional Earmark Grant/National Institute of Standards and Technology. Grant No: 60NANB23D206, 10/1/2023-9/30/2026; b) Erdal, S. ComEd Hyperlocal Air Quality Assessment. 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In addition to the 277 sensors deployed as part of the Open Air Chicago network, there are additional sensors installed at federal monitoring sites to inform the development of a potential local correction factor. \n\nThis dataset is limited to measurements that have met Clarity's automated data quality control checks to ensure the data are high quality. For more information, please visit: https://click.clarity.io/knowledge/quality-control. If you are interested a dataset that includes invalidated data, please submit a data request at <a href=\"https://www.chicago.gov/city/en/depts/cdph/provdrs/health_data_and_reports/svcs/data-request-form.html\" target=\"_blank\">this link</a>.\n\nOpen Air Chicago is a citywide project consisting of 277 non-regulatory, air sensors installed in Summer 2025. It was founded by the Chicago Department of Public Health (CDPH) and the University of Illinois at Chicago School of Public Health (UIC SPH). 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SUMMARY</strong>\nThe Municipal Natural Gas Equipment Inventory serves to catalog natural gas-fueled equipment used in municipally owned buildings. \nThis inventory, implemented by the SF Environment Department, aims to establish an understanding of the scope of work needed to electrify municipal buildings and inform an effective and collaborative planning process.\nThis effort was identified as an action in Section BO-2.4 of the  <u><a href=\"https://www.sfenvironment.org/files/events/2021_climate_action_plan.pdf\">2021 Climate Action Plan</a></u> and is included in the <u><a href=\"https://codelibrary.amlegal.com/codes/san_francisco/latest/sf_environment/0-0-0-577\">Environment Code Chapter 7</a></u> (Municipal Green Building Requirements). \n\n<strong>B. HOW THE DATASET IS CREATED</strong>\nThe list of buildings required to report data for the Municipal Natural Gas Equipment Inventory was compiled by cross-referencing the City\u2019s  <u><a href=\"https://data.sfgov.org/City-Infrastructure/City-Facilities/nc68-ngbr/about_datax\">Facility Systems of Record</a></u> and the  <u><a href=\"https://sfpuc.org/about-us/reports/municipal-buildings-energy-benchmarking\">2020 municipal benchmarking report</a></u> to identify all city-owned buildings with non-zero carbon emissions. Numerous municipal buildings are exempt from these reporting requirements, including facilities of the Port of San Francisco and buildings with a primary purpose of providing collection, storage, treatment, delivery, distribution, and/or transmission of water, wastewater, and/or power utilities. \nEach department received an inventory template, provided by the Environment Department, to submit high level building data and detailed information on each piece of natural gas equipment in use in these buildings. Departments were asked to self-report the required building and equipment data over the course of a 6-month data collection period in 2023 and are asked to keep this inventory up to date in the following years as equipment is replaced. \n\n<strong>C. UPDATE PROCESS</strong>\nThe inventory will be regularly updated by department representatives via the inventory PowerApp. When a gas-powered equipment item is retired or replaced, departments are asked to mark it as no longer in use and provide information on any electric replacement equipment, if applicable. While departments have the flexibility to update the inventory at any time, they are encouraged to do so at 6 month intervals at the minimum. \n\nUpdated inventory data will be automatically reflected in this dataset. \n\n<strong>D. 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Both agencies participate in sample collection; the San Francisco Water, Power and Sewer Microbiology Laboratory performs bacteriological analyses.\n\nMore information: \nhttps://sfwater.org/index.aspx?page=87\nhttps://sfwater.org/sapps/beachesandbay.html","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/c145f3ff-f743-4ae1-827b-3d3414b9565a","harvest_record_raw":"https://catalog.data.gov/harvest_record/c145f3ff-f743-4ae1-827b-3d3414b9565a/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/v3fv-x3ux","keyword":["untagged"],"last_harvested_date":"2026-09-30T18:53:44.012315","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":3,"publisher":"data.sf.gov","slug":"beach-water-quality-monitoring","spatial_centroid":null,"spatial_shape":null,"theme":["Energy and Environment"],"title":"Beach Water Quality Monitoring","type":"dataset"},{"_score":10.884352,"_sort":[1790794423775,10.884352,9,"6458661b-1b16-4aac-9379-c1842f4be7aa"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"M\u00f3rr\u00edgan Sullivan","hasEmail":"mailto:no-reply@data.cityofchicago.org"},"description":"Sensors deployed throughout the City by Open Air Chicago measuring fine particulate matter 2.5 (PM2.5) and nitrogen dioxide (NO2). All sensors collect data on PM2.5 and NO2. Six sensors also collect data on black carbon (BC) and current weather conditions.\n\n24-hour mean measurements are calculated by averaging all measurements collected over a complete UTC day. For example, the 24-hour mean for 2026-01-01 aggregates all measurements from 00:00 UTC to 23:59:59 UTC on 2026-01-01.\n\nThere are related datasets linked below that show the individual measurements and aggregations by hour.\n\n<b>Special Note: As of the launch date of this dataset, the black carbon modules are currently offline. All related metrics are unavailable until further notice and will appear as blank in the dataset.</b>\n\nSome metrics have ready-to-use values directly from the sensor. No further processing occurs. Examples are temperature, relative humidity, and wind. Other metrics have raw data processed further in the Clarity cloud. We call these metrics \"cloud-calibrated.\" Examples are PM2.5 and NO2, which have a global correction factor applied. Column names end in either .raw or .value. For direct-from-sensor metrics, raw and value are the same. For cloud-calibrated metrics raw is from the sensor and value is cloud-calibrated and different from raw.\n\nFor more information, please visit:  \nwww.clarity.io/blog/v2-1-pm2-5-global-calibration\nwww.clarity.io/blog/introducing-claritys-global-no2-calibration-model.\n\nMetrics related to black carbon, ambient temperature, relative humidity, and wind speed and direction are for research purposes being conducted by UIC SPH. In addition to the 277 sensors deployed as part of the Open Air Chicago network, there are additional sensors installed at federal monitoring sites to inform the development of a potential local correction factor. \n\nThis dataset is limited to measurements that have met Clarity's automated data quality control checks to ensure the data are high quality. For more information, please visit: https://click.clarity.io/knowledge/quality-control. If you are interested a dataset that includes invalidated data, please submit a data request at <a href=\"https://www.chicago.gov/city/en/depts/cdph/provdrs/health_data_and_reports/svcs/data-request-form.html\" target=\"_blank\">this link</a>.\n\nOpen Air Chicago is a citywide project consisting of 277 non-regulatory, air sensors installed in Summer 2025. It was founded by the Chicago Department of Public Health (CDPH) and the University of Illinois at Chicago School of Public Health (UIC SPH). The development of the network was supported by an advisory board and other partners, including the following: Alliance of the Southeast, Chicago Environmental Justice Network, Communities United, Grow Greater Englewood, Little Village Environmental Justice Organization, Neighbors for Environmental Justice, ONE Northside, Openlands. People for Community Recovery, Pilsen Environmental Rights and Reform Organization, Southeast Environmental Task Force, The Southwest Collective and the Westside Cultural Alliance, Chicago Department of Transportation, Cook County Department of Environment and Sustainability, Illinois Environmental Protection Agency, RHP Risk Management, University of Illinois Urbana-Champaign, Clarity Movement Company, and Illinois Public Health Institute.\n\nDr. Serap Erdal from UIC SPH was awarded two grants to support Open Air Chicago, which are: a) Erdal. S. Community-Driven Air Quality and Environmental Justice Assessment. Congressional Earmark Grant/National Institute of Standards and Technology. Grant No: 60NANB23D206, 10/1/2023-9/30/2026; b) Erdal, S. ComEd Hyperlocal Air Quality Assessment. RHP Risk Management/ComEd/Exelon, LLC. 1/16/2025-1/31/2026.\n\nFor more information on Open Air Chicago, please visit: <a href=\"https://www.chicago.gov/city/en/depts/cdph/supp_info/Environment/open-air-chicago.html\" target=\"_blank\">Open Air Chicago website</a>.","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.cityofchicago.org/api/views/rtmx-vkjr/columns.json","describedByType":"application/json","downloadURL":"https://data.cityofchicago.org/api/v3/views/rtmx-vkjr/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.cityofchicago.org/api/views/rtmx-vkjr/columns.xml","describedByType":"application/xml","downloadURL":"https://data.cityofchicago.org/api/v3/views/rtmx-vkjr/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.cityofchicago.org/api/v3/views/rtmx-vkjr/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"},{"@type":"dcat:Distribution","downloadURL":"https://data.cityofchicago.org/api/v3/views/rtmx-vkjr/export.kml?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kml+xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.cityofchicago.org/api/v3/views/rtmx-vkjr/export.kmz?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kmz"},{"@type":"dcat:Distribution","downloadURL":"https://data.cityofchicago.org/api/v3/views/rtmx-vkjr/query.geojson?accessType=DOWNLOAD","mediaType":"application/geo+json"}],"identifier":"https://data.cityofchicago.org/api/views/rtmx-vkjr","issued":"2026-01-23","keyword":["air quality","air quality index","aqi","health","nitrogen dioxide","particulate matter","public health","sensors","weather"],"landingPage":"https://data.cityofchicago.org/d/rtmx-vkjr","modified":"2026-09-30","publisher":{"@type":"org:Organization","name":"data.cityofchicago.org"},"theme":["Health & Human Services"],"title":"Open Air Chicago Day Aggregations"},"description":"Sensors deployed throughout the City by Open Air Chicago measuring fine particulate matter 2.5 (PM2.5) and nitrogen dioxide (NO2). 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In addition to the 277 sensors deployed as part of the Open Air Chicago network, there are additional sensors installed at federal monitoring sites to inform the development of a potential local correction factor. \n\nThis dataset is limited to measurements that have met Clarity's automated data quality control checks to ensure the data are high quality. For more information, please visit: https://click.clarity.io/knowledge/quality-control. If you are interested a dataset that includes invalidated data, please submit a data request at <a href=\"https://www.chicago.gov/city/en/depts/cdph/provdrs/health_data_and_reports/svcs/data-request-form.html\" target=\"_blank\">this link</a>.\n\nOpen Air Chicago is a citywide project consisting of 277 non-regulatory, air sensors installed in Summer 2025. It was founded by the Chicago Department of Public Health (CDPH) and the University of Illinois at Chicago School of Public Health (UIC SPH). The development of the network was supported by an advisory board and other partners, including the following: Alliance of the Southeast, Chicago Environmental Justice Network, Communities United, Grow Greater Englewood, Little Village Environmental Justice Organization, Neighbors for Environmental Justice, ONE Northside, Openlands. People for Community Recovery, Pilsen Environmental Rights and Reform Organization, Southeast Environmental Task Force, The Southwest Collective and the Westside Cultural Alliance, Chicago Department of Transportation, Cook County Department of Environment and Sustainability, Illinois Environmental Protection Agency, RHP Risk Management, University of Illinois Urbana-Champaign, Clarity Movement Company, and Illinois Public Health Institute.\n\nDr. Serap Erdal from UIC SPH was awarded two grants to support Open Air Chicago, which are: a) Erdal. S. Community-Driven Air Quality and Environmental Justice Assessment. 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RHP Risk Management/ComEd/Exelon, LLC. 1/16/2025-1/31/2026.\n\nFor more information on Open Air Chicago, please visit: <a href=\"https://www.chicago.gov/city/en/depts/cdph/supp_info/Environment/open-air-chicago.html\" target=\"_blank\">Open Air Chicago website</a>.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/0af36a76-4b1f-4e36-9017-17980647b82a","harvest_record_raw":"https://catalog.data.gov/harvest_record/0af36a76-4b1f-4e36-9017-17980647b82a/raw","has_download":true,"has_spatial":false,"identifier":"https://data.cityofchicago.org/api/views/rtmx-vkjr","keyword":["air quality","air quality index","aqi","health","nitrogen dioxide","particulate matter","public health","sensors","weather"],"last_harvested_date":"2026-09-30T18:53:43.775517","organization":{"aliases":["illiniois"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7ba1dcf3-0855-491e-bd62-1625f38972b9","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_chicago_il.png","name":"City of Chicago","organization_type":"City Government","slug":"chicago-il"},"parent_identifier":null,"popularity":9,"publisher":"data.cityofchicago.org","slug":"open-air-chicago-day-aggregations","spatial_centroid":null,"spatial_shape":null,"theme":["Health & Human Services"],"title":"Open Air Chicago Day Aggregations","type":"dataset"},{"_score":20.17446,"_sort":[1790794420981,20.17446,1,"6d37bb6b-0a5c-4dc9-b519-dff54e39854a"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"cocadmin","hasEmail":"mailto:no-reply@data.cityofchicago.org"},"description":"Notices of Intent (NOI) for demolition and asbestos abatement per Chapter 11 -4  Article XVIII of the <a href=\"https://www.chicityclerk.com/about-city-government-chicago-city-council/municipal-code\" target=\"_blank\">Municipal Code</a> submitted to the Department of Environment (DOE) for work started January 1993 to December 2011 or after April 2026, and submitted to the Department of Public Health (CDPH) for work beginning January 2012 to April 2026. On January 1, 2012, the DOE was disbanded and all its inspection, permitting, and enforcement authorities were transferred to the CDPH. 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