Timeline / Data.gov — Environment Datasets

changed Source changed

A new raw object was archived. Both versions are preserved. 507 line(s) added, 422 line(s) removed.

Evidence

What changed derived

This diff is not evidence. It was produced by civic-memory.diff_engine 1.1.0 at 2026-10-04T00:29:59+00:00 by normalizing the two archived objects above. The objects are authoritative; this reading of them can be regenerated or deleted without loss. 507 line(s) added, 422 line(s) removed.

--- previous
+++ current
@@ -1,85 +1,250 @@
 {
- "after": "WzE3OTA5NzA3Mjk5MjQsNzAuMDE0NzYsMCwiOWZmZjQ3OGQtYzRhMi00ZWY2LTkyM2UtNDMyNmI0Zjk5OWNmIl0=",
+ "after": "WzE3OTA5NzA3MzI0NjYsNy42NzY1NjIsMCwiOWQwNTE2YzgtOWI0MC00NGY4LThkOGMtOTc5ZmNjNWFkYmUyIl0=",
  "results": [
  {
- "_score": 10.428774,
+ "_score": 3.5098486,
  "_sort": [
- 1790998124853,
- 10.428774,
- 0,
- "19410a24-37e1-492b-b026-d450def274fb"
+ 1791065504645,
+ 3.5098486,
+ 5,
+ "6c61f8c3-5627-4086-af57-00e6e537f626"
  ],
  "access_level": "public",
  "dcat": {
  "accessLevel": "public",
  "bureauCode": [
- "010:12"
+ "010:24"
  ],
  "contactPoint": {
  "@type": "vcard:Contact",
- "fn": "Marissa L Cassell",
- "hasEmail": "mailto:mcassell@usgs.gov"
- },
- "description": "In streams located throughout temperate regions of the United States, salinity and chloride concentrations have been increasing over time, which can threaten stream health and drinking water quality. During snow melt events, chloride concentrations can rapidly increase and exceed ecological thresholds, making it important to frequently determine chloride concentrations. However, traditional sampling poses difficulties to rapidly determining chloride concentrations due to timing constraints. To supplement traditional sampling, specific conductance, which is monitored remotely and at 15-minute intervals in many streams, has been used as a primary predictor of chloride concentrations in surrogate regression models. Prior to developing surrogate models, geochemical modeling can be used to calculate the percent contribution of chloride to specific conductance to determine if site-specific regression models are appropriate. In Chester County, Pennsylvania, chloride surrogate models have been previously published for three stream sites using streamflow and specific conductance as explanatory variables. The previously published models use data collected through late 2022/early 2023. However, these models were recalculated to include data through 2024. This data release contains supporting information for the publication titled \"Method to Rapidly Track Salinization in Surface Waters\", and included in the data release is code to complete the geochemical analysis, compare the published models both visually and statistically to newly calculated models that incorporate data collected through 2024, and to create figures evaluating the data. \nModeling data and code are included for 3 stream sites:\nValley Creek at PA Turnpike Bridge near Valley Forge, PA (USGS station 01473169) with discrete water-quality data from nearby downstream site Valley Creek at Wilson Road near Valley Forge, PA (USGS station 01473170);\nWhite Clay Creek near Strickersville, PA (USGS station 01478245); and \nBrandywine Creek at Chadds Ford, PA (USGS station 01481000).\nThis data release contains 11 files: \n1. \"READ_ME_SuppInfo_MethodTrackSalinization.txt\": This file contains important information about the data release files and should be read prior to using the data and code. \n2. \"GEOREF_SuppInfo_MethodTrackSalinization.txt\": This file contains information about the sites used in the analysis. \n3. \"PHREEQC_salinitycalcs.R\": This is the code to complete the geochemical analysis using PHREEQC. \n4-6. \"phreeq_xxxxxxxx.csv\": These are the input files for the \"PHREEQC_salinitycalcs.R\" script. These input files contain discrete water-quality data. xxxxxxxx refers to the three stream sites: USGS-01473170, USGS-01478245, USGS-01481000. \n7. \"models_ancova.R\": This is the code to develop the published and newly calculated chloride surrogate regression models. There is also code to complete an Analysis of Covariance to statistically compare the surrogate models. \n8. \"Prediction_Intervals_Plots_Flow_Duration_Curves.R\": This is the code to visually compare the published and newly calculated surrogate regression models, as well as to create flow duration curves. \n9-11. \"combined_data_xxxxxxxx.csv\": Three input files for the \"models_ancova.R\" script and the \"Prediction_Intervals_Plots_Flow_Duration_Curves.R\" script. These files contain chloride, specific conductance, and streamflow data. xxxxxxxx refers to the three stream sites: USGS-01473169, USGS-01478245, USGS-01481000.",
+ "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’s 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. These differences likely reflect the physical habitat differences between the open coastline of Admiralty Inlet and the protected Penn Cove.",
  "distribution": [
  {
  "@type": "dcat:Distribution",
- "accessURL": "https://doi.org/10.5066/P1QGVZCS",
- "description": "Landing page for access to the data",
- "format": "XML",
- "mediaType": "application/http",
- "title": "Digital Data"
- },
- {
- "@type": "dcat:Distribution",
- "description": "The metadata original format",
- "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.698be31bb66b01469f9c9f89.xml",
- "format": "XML",
- "mediaType": "text/xml",
- "title": "Original Metadata"
+ "description": "NCCN EBLA intertidal fish inventory 2001-2005 tabular data: NCCN_IntertdlFish_FIa07_2001-2005_DISTRIBUTION.zip",
+ "downloadURL": "https://irma.nps.gov/DataStore/DownloadFile/530666?Reference=2206422",
+ "format": "zip",
+ "mediaType": "application/zip",
+ "title": "NCCN_IntertdlFish_FIa07_2001-2005_DISTRIBUTION.zip"
+ },
+ {
+ "@type": "dcat:Distribution",
+ "description": "Original FGDC metadata used to create this reference. Be aware that some of the fields, including file paths, may be out of date. This file should only be used for understanding additional documentation that is not already managed by Data Store",
+ "downloadURL": "https://irma.nps.gov/DataStore/DownloadFile/543418?Reference=2206422",
+ "format": "xml",
+ "mediaType": "application/xml",
+ "title": "OriginalMetadata_NPSDataStoreCode_2206422.xml"
  }
  ],
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_698be31bb66b01469f9c9f89",
- "keyword": [
- "Chester County",
- "Geochemistry",
- "Pennsylvania",
- "USGS:698be31bb66b01469f9c9f89",
- "Water Quality",
- "environment",
- "inlandWaters"
- ],
- "modified": "2026-09-30T00:00:00Z",
+ "identifier": "http://datainventory.doi.gov/id/dataset/NPS_DataStore_2206422",
+ "issued": "2014-01-16T00:00:00Z",
+ "keyword": [
+ "Abundance",
+ "Alaska pollock",
+ "Alaskan stickleback",
+ "Ammodytes hexapterus",
+ "Anoplagonus inermis",
+ "Biology",
+ "Biota",
+ "Chinook salmon",
+ "Clark's trout",
+ "Clevelandia ios",
+ "Clinocottus acuticeps",
+ "Community",
+ "Cottus asper",
+ "Cymatogaster aggregata",
+ "EBLA",
+ "Ebey's Landing National Historical Reserve",
+ "Ecological Framework: Biological Integrity | Focal Species or Communities | Fishes",
+ "Ecological Framework: Biological Integrity | Focal Species or Communities | Intertidal Communities",
+ "Enophrys bison",
+ "Environment",
+ "Gadus chalcogrammus",
+ "Gasterosteus aculeatus",
+ "Hypomesus pretiosus",
+ "Icelinus borealis",
+ "Intertidal Fish",
+ "Inventory",
+ "Isopsetta isolepis",
+ "Leptocottus armatus",
+ "Microgadus proximus",
+ "Myoxocephalus polyacanthocephalus",
+ "NCCN",
+ "North Coast and Cascades Network Network",
+ "Oligocottus maculosus",
+ "Oncorhynchus clarkii clarkii",
+ "Oncorhynchus keta",
+ "Oncorhynchus kisutch",
+ "Oncorhynchus tshawytscha",
+ "Ophiodon elongatus",
+ "Osmeridae",
+ "Pacific Northwest",
+ "Pacific sand lance",
+ "Pacific sandfish",
+ "Pacific staghorn sculpin",
+ "Pacific tomcod",
+ "Pholis ornata",
+ "Platichthys stellatus",
+ "Resource Management",
+ "Salmo clarki",
+ "Syngnathus leptorhynchus",
+ "Theragra chalcogramma",
+ "Trichodon trichodon",
+ "Walleye Pollock",
+ "Washington",
+ "Wildlife",
+ "Yellowstone cutthroat",
+ "arrow goby",
+ "baitfish",
+ "bay pipefish",
+ "beach seining",
+ "buffalo sculpin",
+ "butter sole",
+ "chum salmon",
+ "coastal cutthroat",
+ "coastal cutthroat trout",
+ "coho salmon",
+ "cutthroat trout",
+ "great sculpin",
+ "king salmon",
+ "lake trout",
+ "lingcod",
+ "northern sculpin",
+ "prickly sculpin",
+ "red-throated trout",
+ "saddleback gunnel",
+ "sea trout",
+ "sharpnose sculpin",
+ "shiner perch",
+ "short-tailed trout",
+ "silver salmon",
+ "slendernosed pipefish",
+ "smelts",
+ "smooth alligatorfish",
+ "starry flounder",
+ "surf smelt",
+ "threespine stickleback",
+ "tidepool sculpin"
+ ],
+ "landingPage": "https://irma.nps.gov/DataStore/Reference/Profile/2206422",
+ "modified": "2014-01-16T00:00:00Z",
+ "programCode": [
+ "010:118",
+ "010:119"
+ ],
  "publisher": {
  "@type": "org:Organization",
- "name": "U.S. Geological Survey"
- },
- "spatial": "-76.1400, 39.7200, -75.3700, 40.2500",
+ "name": "National Park Service"
+ },
+ "spatial": "-122.77,48.15,-122.62,48.26",
+ "temporal": "2001-01-01/2005-01-01",
  "theme": [
- "geospatial"
- ],
- "title": "Supporting information for publication titled \"Method to Rapidly Track Salinization in Surface Waters\""
- },
- "description": "In streams located throughout temperate regions of the United States, salinity and chloride concentrations have been increasing over time, which can threaten stream health and drinking water quality. During snow melt events, chloride concentrations can rapidly increase and exceed ecological thresholds, making it important to frequently determine chloride concentrations. However, traditional sampling poses difficulties to rapidly determining chloride concentrations due to timing constraints. To supplement traditional sampling, specific conductance, which is monitored remotely and at 15-minute intervals in many streams, has been used as a primary predictor of chloride concentrations in surrogate regression models. Prior to developing surrogate models, geochemical modeling can be used to calculate the percent contribution of chloride to specific conductance to determine if site-specific regression models are appropriate. In Chester County, Pennsylvania, chloride surrogate models have been previously published for three stream sites using streamflow and specific conductance as explanatory variables. The previously published models use data collected through late 2022/early 2023. However, these models were recalculated to include data through 2024. This data release contains supporting information for the publication titled \"Method to Rapidly Track Salinization in Surface Waters\", and included in the data release is code to complete the geochemical analysis, compare the published models both visually and statistically to newly calculated models that incorporate data collected through 2024, and to create figures evaluating the data. \nModeling data and code are included for 3 stream sites:\nValley Creek at PA Turnpike Bridge near Valley Forge, PA (USGS station 01473169) with discrete water-quality data from nearby downstream site Valley Creek at Wilson Road near Valley Forge, PA (USGS station 01473170);\nWhite Clay Creek near Strickersville, PA (USGS station 01478245); and \nBrandywine Creek at Chadds Ford, PA (USGS station 01481000).\nThis data release contains 11 files: \n1. \"READ_ME_SuppInfo_MethodTrackSalinization.txt\": This file contains important information about the data release files and should be read prior to using the data and code. \n2. \"GEOREF_SuppInfo_MethodTrackSalinization.txt\": This file contains information about the sites used in the analysis. \n3. \"PHREEQC_salinitycalcs.R\": This is the code to complete the geochemical analysis using PHREEQC. \n4-6. \"phreeq_xxxxxxxx.csv\": These are the input files for the \"PHREEQC_salinitycalcs.R\" script. These input files contain discrete water-quality data. xxxxxxxx refers to the three stream sites: USGS-01473170, USGS-01478245, USGS-01481000. \n7. \"models_ancova.R\": This is the code to develop the published and newly calculated chloride surrogate regression models. There is also code to complete an Analysis of Covariance to statistically compare the surrogate models. \n8. \"Prediction_Intervals_Plots_Flow_Duration_Curves.R\": This is the code to visually compare the published and newly calculated surrogate regression models, as well as to create flow duration curves. \n9-11. \"combined_data_xxxxxxxx.csv\": Three input files for the \"models_ancova.R\" script and the \"Prediction_Intervals_Plots_Flow_Duration_Curves.R\" script. These files contain chloride, specific conductance, and streamflow data. xxxxxxxx refers to the three stream sites: USGS-01473169, USGS-01478245, USGS-01481000.",
+ "Tabular Dataset"
+ ],
+ "title": "Intertidal Fish Inventory of Ebey's Landing National Historical Reserve tabular data"
+ },
+ "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’s 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. These differences likely reflect the physical habitat differences between the open coastline of Admiralty Inlet and the protected Penn Cove.",
  "distribution_titles": [
- "Digital Data",
- "Original Metadata"
- ],
- "harvest_record": "https://catalog.data.gov/harvest_record/abfde54f-145b-4591-941f-54f655dd9f8d",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/abfde54f-145b-4591-941f-54f655dd9f8d/raw",
+ "NCCN_IntertdlFish_FIa07_2001-2005_DISTRIBUTION.zip",
+ "OriginalMetadata_NPSDataStoreCode_2206422.xml"
+ ],
+ "harvest_record": "https://catalog.data.gov/harvest_record/8ad78b79-ccbb-442e-86e6-e9325bda3f32",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/8ad78b79-ccbb-442e-86e6-e9325bda3f32/raw",
  "has_download": true,
  "has_spatial": true,
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_698be31bb66b01469f9c9f89",
- "keyword": [
- "Chester County",
- "Geochemistry",
- "Pennsylvania",
- "USGS:698be31bb66b01469f9c9f89",
- "Water Quality",
- "environment",
- "inlandWaters"
- ],
- "last_harvested_date": "2026-10-03T03:28:44.853683",
+ "identifier": "http://datainventory.doi.gov/id/dataset/NPS_DataStore_2206422",
+ "keyword": [
+ "Abundance",
+ "Alaska pollock",
+ "Alaskan stickleback",
+ "Ammodytes hexapterus",
+ "Anoplagonus inermis",
+ "Biology",
+ "Biota",
+ "Chinook salmon",
+ "Clark's trout",
+ "Clevelandia ios",
+ "Clinocottus acuticeps",
+ "Community",
+ "Cottus asper",
+ "Cymatogaster aggregata",
+ "EBLA",
+ "Ebey's Landing National Historical Reserve",
+ "Ecological Framework: Biological Integrity | Focal Species or Communities | Fishes",
+ "Ecological Framework: Biological Integrity | Focal Species or Communities | Intertidal Communities",
+ "Enophrys bison",
+ "Environment",
+ "Gadus chalcogrammus",
+ "Gasterosteus aculeatus",
+ "Hypomesus pretiosus",
+ "Icelinus borealis",
+ "Intertidal Fish",
+ "Inventory",
+ "Isopsetta isolepis",
+ "Leptocottus armatus",
+ "Microgadus proximus",
+ "Myoxocephalus polyacanthocephalus",
+ "NCCN",
+ "North Coast and Cascades Network Network",
+ "Oligocottus maculosus",
+ "Oncorhynchus clarkii clarkii",
+ "Oncorhynchus keta",
+ "Oncorhynchus kisutch",
+ "Oncorhynchus tshawytscha",
+ "Ophiodon elongatus",
+ "Osmeridae",
+ "Pacific Northwest",
+ "Pacific sand lance",
+ "Pacific sandfish",
+ "Pacific staghorn sculpin",
+ "Pacific tomcod",
+ "Pholis ornata",
+ "Platichthys stellatus",
+ "Resource Management",
+ "Salmo clarki",
+ "Syngnathus leptorhynchus",
+ "Theragra chalcogramma",
+ "Trichodon trichodon",
+ "Walleye Pollock",
+ "Washington",
+ "Wildlife",
+ "Yellowstone cutthroat",
+ "arrow goby",
+ "baitfish",
+ "bay pipefish",
+ "beach seining",
+ "buffalo sculpin",
+ "butter sole",
+ "chum salmon",
+ "coastal cutthroat",
+ "coastal cutthroat trout",
+ "coho salmon",
+ "cutthroat trout",
+ "great sculpin",
+ "king salmon",
+ "lake trout",
+ "lingcod",
+ "northern sculpin",
+ "prickly sculpin",
+ "red-throated trout",
+ "saddleback gunnel",
+ "sea trout",
+ "sharpnose sculpin",
+ "shiner perch",
+ "short-tailed trout",
+ "silver salmon",
+ "slendernosed pipefish",
+ "smelts",
+ "smooth alligatorfish",
+ "starry flounder",
+ "surf smelt",
+ "threespine stickleback",
+ "tidepool sculpin"
+ ],
+ "last_harvested_date": "2026-10-03T22:11:44.645313",
  "organization": {
  "aliases": [
  "dept"
@@ -94,6 +259,226 @@
  "slug": "doi"
  },
  "parent_identifier": null,
+ "popularity": 5,
+ "publisher": "National Park Service",
+ "slug": "intertidal-fish-inventory-of-ebeys-landing-national-historical-reserve-tabular-data",
+ "spatial_centroid": {
+ "lat": 48.194,
+ "lon": -122.71
+ },
+ "spatial_shape": {
+ "coordinates": [
+ [
+ [
+ -122.77,
+ 48.15
+ ],
+ [
+ -122.77,
+ 48.26
+ ],
+ [
+ -122.62,
+ 48.26
+ ],
+ [
+ -122.62,
+ 48.15
+ ],
+ [
+ -122.77,
+ 48.15
+ ]
+ ]
+ ],
+ "type": "Polygon"
+ },
+ "theme": [
+ "Tabular Dataset"
+ ],
+ "title": "Intertidal Fish Inventory of Ebey's Landing National Historical Reserve tabular data",
+ "type": "dataset"
+ },
+ {
+ "_score": 4.7639513,
+ "_sort": [
+ 1791057491673,
+ 4.7639513,
+ 8,
+ "758dae5e-8c89-42b1-851d-05081ea2a8fe"
+ ],
+ "access_level": "public",
+ "dcat": {
+ "@type": "dcat:Dataset",
+ "accessLevel": "public",
+ "contactPoint": {
+ "@type": "vcard:Contact",
+ "fn": "Iowa Data Hub Administrators",
+ "hasEmail": "mailto:data@iowa.gov"
+ },
+ "description": "This dataset provides the geographic names data for Iowa. All names data products are extracted from the Geographic Names Information System (GNIS), the Federal Government's repository of official geographic names. The GNIS contains the federally recognized name of each feature and defines its location by State, county, USGS topographic map, and geographic coordinates. GNIS also lists variant names, which are non-official names by which a feature is or was known. Other attributes include unique Feature ID and feature class. Feature classes under the purview of the U.S. Board on Geographic Names include natural features, unincorporated populated places, canals, channels, reservoirs, and more. GNIS does not include roads, highways, administrative, or cultural features. In 2021, the following geographic features referred to as administrative (cultural or man-made) were removed from GNIS: airport, bridge, building, cemetery, church, dam, forest, harbor, hospital, mine, oilfield, park, post office, reserve, school, tower, trail, tunnel, and well. Some administrative feature data are maintained in other The National Map data themes.",
+ "distribution": [
+ {
+ "@type": "dcat:Distribution",
+ "describedBy": "https://idh-be.iowa.gov/api/v1/datasets/650/columns.json",
+ "describedByType": "application/json",
+ "downloadURL": "https://idh-be.iowa.gov/api/v1/datasets/650/rows.json",
+ "mediaType": "application/json"
+ },
+ {
+ "@type": "dcat:Distribution",
+ "downloadURL": "https://idh-be.iowa.gov/api/v1/datasets/650/rows.csv",
+ "mediaType": "text/csv"
+ }
+ ],
+ "identifier": "https://data.iowa.gov/catalog/dataset/650",
+ "issued": "2025-08-25T21:04:51.062051+00:00",
+ "keyword": [
+ "geographic names",
+ "natural features"
+ ],
+ "landingPage": "https://data.iowa.gov/catalog/dataset/650",
+ "license": "https://creativecommons.org/publicdomain/zero/1.0/",
+ "modified": "2026-10-03T09:02:01.622927+00:00",
+ "publisher": {
+ "@type": "org:Organization",
+ "name": "Data Hub Administration"
+ },
+ "theme": [
+ "Infrastructure & Environment"
+ ],
+ "title": "Iowa Geographic Names"
+ },
+ "description": "This dataset provides the geographic names data for Iowa. All names data products are extracted from the Geographic Names Information System (GNIS), the Federal Government's repository of official geographic names. The GNIS contains the federally recognized name of each feature and defines its location by State, county, USGS topographic map, and geographic coordinates. GNIS also lists variant names, which are non-official names by which a feature is or was known. Other attributes include unique Feature ID and feature class. Feature classes under the purview of the U.S. Board on Geographic Names include natural features, unincorporated populated places, canals, channels, reservoirs, and more. GNIS does not include roads, highways, administrative, or cultural features. In 2021, the following geographic features referred to as administrative (cultural or man-made) were removed from GNIS: airport, bridge, building, cemetery, church, dam, forest, harbor, hospital, mine, oilfield, park, post office, reserve, school, tower, trail, tunnel, and well. Some administrative feature data are maintained in other The National Map data themes.",
+ "distribution_titles": [],
+ "harvest_record": "https://catalog.data.gov/harvest_record/a27a6ba7-450f-4ee4-a412-a1de321377b6",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/a27a6ba7-450f-4ee4-a412-a1de321377b6/raw",
+ "has_download": true,
+ "has_spatial": false,
+ "identifier": "https://data.iowa.gov/catalog/dataset/650",
+ "keyword": [
+ "geographic names",
+ "natural features"
+ ],
+ "last_harvested_date": "2026-10-03T19:58:11.673556",
+ "organization": {
+ "aliases": [
+ "ia"
+ ],
+ "code_repo_exempt": false,
+ "code_repo_url": null,
+ "description": null,
+ "id": "2efac508-2a39-46d4-8d0c-e034d17e928f",
+ "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/state_IA.png",
+ "name": "State of Iowa",
+ "organization_type": "State Government",
+ "slug": "iowa"
+ },
+ "parent_identifier": null,
+ "popularity": 8,
+ "publisher": "Data Hub Administration",
+ "slug": "iowa-geographic-names",
+ "spatial_centroid": null,
+ "spatial_shape": null,
+ "theme": [
+ "Infrastructure & Environment"
+ ],
+ "title": "Iowa Geographic Names",
+ "type": "dataset"
+ },
+ {
+ "_score": 10.432662,
+ "_sort": [
+ 1790998124853,
+ 10.432662,
+ 0,
+ "19410a24-37e1-492b-b026-d450def274fb"
+ ],
+ "access_level": "public",
+ "dcat": {
+ "accessLevel": "public",
+ "bureauCode": [
+ "010:12"
+ ],
+ "contactPoint": {
+ "@type": "vcard:Contact",
+ "fn": "Marissa L Cassell",
+ "hasEmail": "mailto:mcassell@usgs.gov"
+ },
+ "description": "In streams located throughout temperate regions of the United States, salinity and chloride concentrations have been increasing over time, which can threaten stream health and drinking water quality. During snow melt events, chloride concentrations can rapidly increase and exceed ecological thresholds, making it important to frequently determine chloride concentrations. However, traditional sampling poses difficulties to rapidly determining chloride concentrations due to timing constraints. To supplement traditional sampling, specific conductance, which is monitored remotely and at 15-minute intervals in many streams, has been used as a primary predictor of chloride concentrations in surrogate regression models. Prior to developing surrogate models, geochemical modeling can be used to calculate the percent contribution of chloride to specific conductance to determine if site-specific regression models are appropriate. In Chester County, Pennsylvania, chloride surrogate models have been previously published for three stream sites using streamflow and specific conductance as explanatory variables. The previously published models use data collected through late 2022/early 2023. However, these models were recalculated to include data through 2024. This data release contains supporting information for the publication titled \"Method to Rapidly Track Salinization in Surface Waters\", and included in the data release is code to complete the geochemical analysis, compare the published models both visually and statistically to newly calculated models that incorporate data collected through 2024, and to create figures evaluating the data. \nModeling data and code are included for 3 stream sites:\nValley Creek at PA Turnpike Bridge near Valley Forge, PA (USGS station 01473169) with discrete water-quality data from nearby downstream site Valley Creek at Wilson Road near Valley Forge, PA (USGS station 01473170);\nWhite Clay Creek near Strickersville, PA (USGS station 01478245); and \nBrandywine Creek at Chadds Ford, PA (USGS station 01481000).\nThis data release contains 11 files: \n1. \"READ_ME_SuppInfo_MethodTrackSalinization.txt\": This file contains important information about the data release files and should be read prior to using the data and code. \n2. \"GEOREF_SuppInfo_MethodTrackSalinization.txt\": This file contains information about the sites used in the analysis. \n3. \"PHREEQC_salinitycalcs.R\": This is the code to complete the geochemical analysis using PHREEQC. \n4-6. \"phreeq_xxxxxxxx.csv\": These are the input files for the \"PHREEQC_salinitycalcs.R\" script. These input files contain discrete water-quality data. xxxxxxxx refers to the three stream sites: USGS-01473170, USGS-01478245, USGS-01481000. \n7. \"models_ancova.R\": This is the code to develop the published and newly calculated chloride surrogate regression models. There is also code to complete an Analysis of Covariance to statistically compare the surrogate models. \n8. \"Prediction_Intervals_Plots_Flow_Duration_Curves.R\": This is the code to visually compare the published and newly calculated surrogate regression models, as well as to create flow duration curves. \n9-11. \"combined_data_xxxxxxxx.csv\": Three input files for the \"models_ancova.R\" script and the \"Prediction_Intervals_Plots_Flow_Duration_Curves.R\" script. These files contain chloride, specific conductance, and streamflow data. xxxxxxxx refers to the three stream sites: USGS-01473169, USGS-01478245, USGS-01481000.",
+ "distribution": [
+ {
+ "@type": "dcat:Distribution",
+ "accessURL": "https://doi.org/10.5066/P1QGVZCS",
+ "description": "Landing page for access to the data",
+ "format": "XML",
+ "mediaType": "application/http",
+ "title": "Digital Data"
+ },
+ {
+ "@type": "dcat:Distribution",
+ "description": "The metadata original format",
+ "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.698be31bb66b01469f9c9f89.xml",
+ "format": "XML",
+ "mediaType": "text/xml",
+ "title": "Original Metadata"
+ }
+ ],
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_698be31bb66b01469f9c9f89",
+ "keyword": [
+ "Chester County",
+ "Geochemistry",
+ "Pennsylvania",
+ "USGS:698be31bb66b01469f9c9f89",
+ "Water Quality",
+ "environment",
+ "inlandWaters"
+ ],
+ "modified": "2026-09-30T00:00:00Z",
+ "publisher": {
+ "@type": "org:Organization",
+ "name": "U.S. Geological Survey"
+ },
+ "spatial": "-76.1400, 39.7200, -75.3700, 40.2500",
+ "theme": [
+ "geospatial"
+ ],
+ "title": "Supporting information for publication titled \"Method to Rapidly Track Salinization in Surface Waters\""
+ },
+ "description": "In streams located throughout temperate regions of the United States, salinity and chloride concentrations have been increasing over time, which can threaten stream health and drinking water quality. During snow melt events, chloride concentrations can rapidly increase and exceed ecological thresholds, making it important to frequently determine chloride concentrations. However, traditional sampling poses difficulties to rapidly determining chloride concentrations due to timing constraints. To supplement traditional sampling, specific conductance, which is monitored remotely and at 15-minute intervals in many streams, has been used as a primary predictor of chloride concentrations in surrogate regression models. Prior to developing surrogate models, geochemical modeling can be used to calculate the percent contribution of chloride to specific conductance to determine if site-specific regression models are appropriate. In Chester County, Pennsylvania, chloride surrogate models have been previously published for three stream sites using streamflow and specific conductance as explanatory variables. The previously published models use data collected through late 2022/early 2023. However, these models were recalculated to include data through 2024. This data release contains supporting information for the publication titled \"Method to Rapidly Track Salinization in Surface Waters\", and included in the data release is code to complete the geochemical analysis, compare the published models both visually and statistically to newly calculated models that incorporate data collected through 2024, and to create figures evaluating the data. \nModeling data and code are included for 3 stream sites:\nValley Creek at PA Turnpike Bridge near Valley Forge, PA (USGS station 01473169) with discrete water-quality data from nearby downstream site Valley Creek at Wilson Road near Valley Forge, PA (USGS station 01473170);\nWhite Clay Creek near Strickersville, PA (USGS station 01478245); and \nBrandywine Creek at Chadds Ford, PA (USGS station 01481000).\nThis data release contains 11 files: \n1. \"READ_ME_SuppInfo_MethodTrackSalinization.txt\": This file contains important information about the data release files and should be read prior to using the data and code. \n2. \"GEOREF_SuppInfo_MethodTrackSalinization.txt\": This file contains information about the sites used in the analysis. \n3. \"PHREEQC_salinitycalcs.R\": This is the code to complete the geochemical analysis using PHREEQC. \n4-6. \"phreeq_xxxxxxxx.csv\": These are the input files for the \"PHREEQC_salinitycalcs.R\" script. These input files contain discrete water-quality data. xxxxxxxx refers to the three stream sites: USGS-01473170, USGS-01478245, USGS-01481000. \n7. \"models_ancova.R\": This is the code to develop the published and newly calculated chloride surrogate regression models. There is also code to complete an Analysis of Covariance to statistically compare the surrogate models. \n8. \"Prediction_Intervals_Plots_Flow_Duration_Curves.R\": This is the code to visually compare the published and newly calculated surrogate regression models, as well as to create flow duration curves. \n9-11. \"combined_data_xxxxxxxx.csv\": Three input files for the \"models_ancova.R\" script and the \"Prediction_Intervals_Plots_Flow_Duration_Curves.R\" script. These files contain chloride, specific conductance, and streamflow data. xxxxxxxx refers to the three stream sites: USGS-01473169, USGS-01478245, USGS-01481000.",
+ "distribution_titles": [
+ "Digital Data",
+ "Original Metadata"
+ ],
+ "harvest_record": "https://catalog.data.gov/harvest_record/abfde54f-145b-4591-941f-54f655dd9f8d",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/abfde54f-145b-4591-941f-54f655dd9f8d/raw",
+ "has_download": true,
+ "has_spatial": true,
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_698be31bb66b01469f9c9f89",
+ "keyword": [
+ "Chester County",
+ "Geochemistry",
+ "Pennsylvania",
+ "USGS:698be31bb66b01469f9c9f89",
+ "Water Quality",
+ "environment",
+ "inlandWaters"
+ ],
+ "last_harvested_date": "2026-10-03T03:28:44.853683",
+ "organization": {
+ "aliases": [
+ "dept"
+ ],
+ "code_repo_exempt": false,
+ "code_repo_url": null,
+ "description": null,
+ "id": "143529f7-2eef-4a07-b227-93ac9e84fad8",
+ "logo": "https://raw.githubusercontent.com/GSA/logo/master/doi.png",
+ "name": "Department of the Interior",
+ "organization_type": "Federal Government",
+ "slug": "doi"
+ },
+ "parent_identifier": null,
  "popularity": 0,
  "publisher": "U.S. Geological Survey",
  "slug": "supporting-information-for-publication-titled-method-to-rapidly-track-salinization-in-surf",
@@ -135,10 +520,10 @@
  "type": "dataset"
  },
  {
- "_score": 8.429131,
+ "_score": 8.429498,
  "_sort": [
  1790997783626,
- 8.429131,
+ 8.429498,
  0,
  "5bcd15f4-547c-4efe-ba72-348ca92b37c0"
  ],
@@ -282,10 +667,10 @@
  "type": "dataset"
  },
  {
- "_score": 9.540661,
+ "_score": 9.54066,
  "_sort": [
  1790997483931,
- 9.540661,
+ 9.54066,
  0,
  "d4e8f1e1-3a17-41ba-af3e-7c3f1b57bf8e"
  ],
@@ -417,10 +802,10 @@
  "type": "dataset"
  },
  {
- "_score": 6.711051,
+ "_score": 6.7106495,
  "_sort": [
  1790997316572,
- 6.711051,
+ 6.7106495,
  5,
  "ecff340e-3458-4575-be26-e3f864fadaec"
  ],
@@ -598,10 +983,10 @@
  "type": "dataset"
  },
  {
- "_score": 10.7765465,
+ "_score": 10.778006,
  "_sort": [
  1790996947551,
- 10.7765465,
+ 10.778006,
  0,
  "abaa1e48-ee68-4f2d-88de-bf948b7c0b2e"
  ],
@@ -725,10 +1110,10 @@
  "type": "dataset"
  },
  {
- "_score": 9.650426,
+ "_score": 9.650475,
  "_sort": [
  1790996404112,
- 9.650426,
+ 9.650475,
  0,
  "97e398c3-597a-4839-a863-748894a16840"
  ],
@@ -866,10 +1251,10 @@
  "type": "dataset"
  },
  {
- "_score": 10.462929,
+ "_score": 10.465647,
  "_sort": [
  1790996224488,
- 10.462929,
+ 10.465647,
  0,
  "e93f9c89-ef2b-4144-9ad2-02b32897427e"
  ],
@@ -997,10 +1382,10 @@
  "type": "dataset"
  },
  {
- "_score": 9.620603,
+ "_score": 9.621866,
  "_sort": [
  1790996046443,
- 9.620603,
+ 9.621866,
  1,
  "8780723e-ee78-48f9-a1e8-524b9e23942c"
  ],
@@ -1136,10 +1521,10 @@
  "type": "dataset"
  },
  {
- "_score": 9.620603,
+ "_score": 9.621866,
  "_sort": [
  1790995509499,
- 9.620603,
+ 9.621866,
  0,
  "5344c088-bff6-4ed2-b875-0fba51f575a3"
  ],
@@ -1271,10 +1656,10 @@
  "type": "dataset"
  },
  {
- "_score": 9.07934,
+ "_score": 9.080362,
  "_sort": [
  1790995469793,
- 9.07934,
+ 9.080362,
  6,
  "801011d8-3cb2-4d6f-b4bc-f837e77a2d33"
  ],
@@ -1414,10 +1799,10 @@
  "type": "dataset"
  },
  {
- "_score": 12.43622,
+ "_score": 12.434904,
  "_sort": [
  1790994899430,
- 12.43622,
+ 12.434904,
  0,
  "b8b6e6fc-fa3d-483d-a065-69f7bf3596e1"
  ],
@@ -1557,10 +1942,10 @@
  "type": "dataset"
  },
  {
- "_score": 11.960562,
+ "_score": 11.955112,
  "_sort": [
  1790994615626,
- 11.960562,
+ 11.955112,
  0,
  "f07a5c36-01a9-4b11-b27d-0e1ee769fa8f"
  ],
@@ -1698,10 +2083,10 @@
  "type": "dataset"
  },
  {
- "_score": 8.530888,
+ "_score": 8.531467,
  "_sort": [
  1790993686303,
- 8.530888,
+ 8.531467,
  0,
  "010f5ae4-8158-40a5-8996-297ecfe8d6ba"
  ],
@@ -1855,10 +2240,10 @@
  "type": "dataset"
  },
  {
- "_score": 11.299303,
+ "_score": 11.2972145,
  "_sort": [
  1790993673630,
- 11.299303,
+ 11.2972145,
  0,
  "5e38c7a8-5eb1-4375-acea-73d532c6c946"
  ],
@@ -1996,10 +2381,10 @@
  "type": "dataset"
  },
  {
- "_score": 15.717096,
+ "_score": 15.716484,
  "_sort": [
  1790993464273,
- 15.717096,
+ 15.716484,
  0,
  "a7769235-a6ce-49f2-bc4d-2b56e11db3f0"
  ],
@@ -2131,10 +2516,10 @@
  "type": "dataset"
  },
  {
- "_score": 7.747585,
+ "_score": 7.7471356,
  "_sort": [
  1790993373658,
- 7.747585,
+ 7.7471356,
  4,
  "3618109f-799f-478c-8a3b-ff4450066521"
  ],
@@ -2292,10 +2677,10 @@
  "type": "dataset"
  },
  {
- "_score": 10.4582815,
+ "_score": 10.460302,
  "_sort": [
  1790992857918,
- 10.4582815,
+ 10.460302,
  0,
  "22e84f2a-d76c-4ede-9adf-479416813919"
  ],
@@ -2423,10 +2808,10 @@
  "type": "dataset"
  },
  {
- "_score": 9.129197,
+ "_score": 9.129711,
  "_sort": [
  1790978001740,
- 9.129197,
+ 9.129711,
  2,
  "6b84b1d5-6bdb-4f72-b21a-bb29f5f609fb"
  ],
@@ -2650,10 +3035,10 @@
  "type": "dataset"
  },
  {
- "_score": 9.129197,
+ "_score": 9.129711,
  "_sort": [
  1790978001538,
- 9.129197,
+ 9.129711,
  6,
  "8554d881-8a21-43c6-ae30-b6b43cfc405c"
  ],
@@ -2877,10 +3262,10 @@
  "type": "dataset"
  },
  {
- "_score": 9.081808,
+ "_score": 9.083228,
  "_sort": [
  1790978001346,
- 9.081808,
+ 9.083228,
  7,
  "f81a7d4d-3b50-4cb6-aab9-ec16b34e0f5f"
  ],
@@ -3104,10 +3489,10 @@
  "type": "dataset"
  },
  {
- "_score": 9.027279,
+ "_score": 9.027058,
  "_sort": [
  1790978001120,
- 9.027279,
+ 9.027058,
  4,
  "17af1a88-fb55-470d-b70f-f1abfea8b484"
  ],
@@ -3333,10 +3718,10 @@
  "type": "dataset"
  },
  {
- "_score": 9.081808,
+ "_score": 9.083228,
  "_sort": [
  1790978000928,
- 9.081808,
+ 9.083228,
  2,
  "6c5727fe-35e3-411d-945f-133ffc9cb4ff"
  ],
@@ -3562,10 +3947,10 @@
  "type": "dataset"
  },
  {
- "_score": 9.030594,
+ "_score": 9.031058,
  "_sort": [
  1790978000728,
- 9.030594,
+ 9.031058,
  2,
  "c1fe141b-d3e3-4ee7-83b6-9b6e899f2bc6"
  ],
@@ -3789,10 +4174,10 @@
  "type": "dataset"
  },
  {
- "_score": 8.980378,
+ "_score": 8.981296,
  "_sort": [
  1790978000528,
- 8.980378,
+ 8.981296,
  2,
  "ce76e675-75de-454a-805f-7578897131ef"
  ],
@@ -4016,10 +4401,10 @@
  "type": "dataset"
  },
  {
- "_score": 8.813791,
+ "_score": 8.814423,
  "_sort": [
  1790977999812,
- 8.813791,
+ 8.814423,
  19,
  "08baa602-781f-465f-a065-72518d38ab7d"
  ],
@@ -4247,10 +4632,10 @@
  "type": "dataset"
  },
  {
- "_score": 30.031475,
+ "_score": 30.036888,
  "_sort": [
  1790977999599,
- 30.031475,
+ 30.036888,
  2,
  "648c14b7-0377-4faf-87af-ea107518eed4"
  ],
@@ -4472,10 +4857,10 @@
  "type": "dataset"
  },
  {
- "_score": 29.403858,
+ "_score": 29.406582,
  "_sort": [
  1790977999398,
- 29.403858,
+ 29.406582,
  3,
  "1286e4bb-61ba-4971-97d2-a4605ab62d54"
  ],
@@ -4699,10 +5084,10 @@
  "type": "dataset"
  },
  {
- "_score": 29.894547,
+ "_score": 29.895567,
  "_sort": [
  1790977999179,
- 29.894547,
+ 29.895567,
  1,
  "b8162860-5346-4e09-8716-8f095d50418d"
  ],
@@ -4924,10 +5309,10 @@
  "type": "dataset"
  },
  {
- "_score": 29.563286,
+ "_score": 29.564962,
  "_sort": [
  1790977998987,
- 29.563286,
+ 29.564962,
  1,
  "a056945e-e97c-42ca-8be6-3cb0845c394b"
  ],
@@ -5151,10 +5536,10 @@
  "type": "dataset"
  },
  {
- "_score": 28.613417,
+ "_score": 28.614649,
  "_sort": [
  1790977998795,
- 28.613417,
+ 28.614649,
  2,
  "e1c4a353-ee66-4ebf-ae31-6ed22db60219"
  ],
@@ -5380,10 +5765,10 @@
  "type": "dataset"
  },
  {
- "_score": 28.613417,
+ "_score": 28.614649,
  "_sort": [
  1790977998577,
- 28.613417,
+ 28.614649,
  1,
  "8d8a192d-2f1c-40aa-849c-d9bb5e9cb836"
  ],
@@ -5609,10 +5994,10 @@
  "type": "dataset"
  },
  {
- "_score": 8.980378,
+ "_score": 8.981296,
  "_sort": [
  1790977998371,
- 8.980378,
+ 8.981296,
  5,
  "fe94a57f-9ee2-4396-a009-3eececfcd137"
  ],
@@ -5673,304 +6058,4 @@
  {
  "@type": "dcat:Distribution",
  "description": "#IDEA Section 618 Data Products: Static Tables\n##Part B Child Count and Educational Environments\nTable 20 Number of children and students served under IDEA, Part B, in the US, Outlying Areas, and Freely Associated States by age and disability category.\n2021-2022",
- "downloadURL": "https://data.ed.gov/dataset/c074cf9f-7b9c-4fbe-b4f7-228130d2a606/resource/06823e1f-e14b-4b32-a3b2-d7ef3c70d422/download/2122-bchildcountandedenvironment-20.xlsx",
- "format": "XLSX",
- "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
- "title": "2021-2022"
- },
- {
- "@type": "dcat:Distribution",
- "description": "Table 20 Number of children and students served under IDEA, Part B, in the US, Outlying Areas, and Freely Associated States by age and disability category.",
- "downloadURL": "https://data.ed.gov/dataset/c074cf9f-7b9c-4fbe-b4f7-228130d2a606/resource/1ccba284-282a-44d2-b08c-d8ece10350db/download/2324-bchildcountandedenvironment-20.xlsx",
- "format": "XLSX",
- "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
- "title": "2023-2024"
- },
- {
- "@type": "dcat:Distribution",
- "description": "Table 20 Number of children and students served under IDEA, Part B, in the US, Outlying Areas, and Freely Associated States by age and disability category.",
- "downloadURL": "https://data.ed.gov/dataset/c074cf9f-7b9c-4fbe-b4f7-228130d2a606/resource/3eadc54d-ab25-441c-940b-1f39dd5df138/download/2223-bchildcountandedenvironment-20.xlsx",
- "format": "XLSX",
- "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
- "title": "2022-2023"
- },
- {
- "@type": "dcat:Distribution",
- "description": "Table 20 Number of children and students served under IDEA, Part B, in the US, Outlying Areas, and Freely Associated States by age and disability category.",
- "downloadURL": "https://data.ed.gov/dataset/c074cf9f-7b9c-4fbe-b4f7-228130d2a606/resource/61d3ff37-aa65-4211-9ec7-4334d9f8520a/download/2425-bchildcountandedenvironment-20.xlsx",
- "format": "XLSX",
- "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
- "title": "2024-2025"
- }
- ],
- "identifier": "c074cf9f-7b9c-4fbe-b4f7-228130d2a606",
- "keyword": [
- "United States",
- "count",
- "data-products",
- "environment",
- "individuals-with-disabilities-education-act",
- "national",
- "outlying-area",
- "part-b",
- "performance",
- "section-618",
- "special-education",
- "static-tables"
- ],
- "landingPage": "https://data.ed.gov/dataset/idea-section-618-data-products-static-tables-part-b",
- "license": "http://www.opendefinition.org/licenses/cc-zero",
- "modified": "2026-09-14T16:45:27.031186",
- "programCode": [
- "018:000"
- ],
- "publisher": {
- "@type": "org:Organization",
- "name": "Office of Special Education Programs (OSEP)"
- },
- "spatial": "United States",
- "title": "IDEA Section 618 Data Products: Static Tables Part B Child Count & Educational Environments Table 20"
- },
- "description": "#IDEA Section 618 Data Products: Static Tables\n##Part B Child Count and Educational Environments\nTable 20 Number of children and students served under IDEA, Part B, in the US, Outlying Areas, and Freely Associated States by age and disability category.",
- "distribution_titles": [
- "2016-2017",
- "2017-2018",
- "2018-2019",
- "2019-2020",
- "2020-2021",
- "2021-2022",
- "2023-2024",
- "2022-2023",
- "2024-2025"
- ],
- "harvest_record": "https://catalog.data.gov/harvest_record/1340726e-6726-4912-afa7-89a0f55b0473",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/1340726e-6726-4912-afa7-89a0f55b0473/raw",
- "has_download": true,
- "has_spatial": true,
- "identifier": "c074cf9f-7b9c-4fbe-b4f7-228130d2a606",
- "keyword": [
- "United States",
- "count",
- "data-products",
- "environment",
- "individuals-with-disabilities-education-act",
- "national",
- "outlying-area",
- "part-b",
- "performance",
- "section-618",
- "special-education",
- "static-tables"
- ],
- "last_harvested_date": "2026-10-02T21:53:18.371702",
- "organization": {
- "aliases": [
- "dept"
- ],
- "code_repo_exempt": false,
- "code_repo_url": null,
- "description": null,
- "id": "217e855b-cd64-4ebc-958b-abbbb0f57ac2",
- "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/ed.png",
- "name": "Department of Education",
- "organization_type": "Federal Government",
- "slug": "ed"
- },
- "parent_identifier": null,
- "popularity": 5,
- "publisher": "Office of Special Education Programs (OSEP)",
- "slug": "idea-section-618-data-products-static-tables-part-b-child-count-educational-environment-20",
- "spatial_centroid": {
- "lat": 34.4819914,
- "lon": -101.6218762
- },
- "spatial_shape": {
- "coordinates": [
- [
- [
- [
- -124.733253,
- 24.544245
- ],
- [
- -124.733253,
- 49.388611
- ],
- [
- -66.954811,
- 49.388611
- ],
- [
- -66.954811,
- 24.544245
- ],
- [
- -124.733253,
- 24.544245
- ]
- ]
- ]
- ],
- "type": "MultiPolygon"
- },
- "theme": [],
- "title": "IDEA Section 618 Data Products: Static Tables Part B Child Count & Educational Environments Table 20",
- "type": "dataset"
- },
- {
- "_score": 29.440542,
- "_sort": [
- 1790977998173,
- 29.440542,
- 0,
- "4ef9d468-14fa-49af-bcd6-aaf8375c5c46"
- ],
- "access_level": "public",
- "dcat": {
- "@type": "dcat:Dataset",
- "accessLevel": "public",
- "bureauCode": [
- "018:00"
- ],
- "contactPoint": {
- "@type": "vcard:Contact",
- "fn": "Office of Special Education Programs - Research to Practice Division",
- "hasEmail": "mailto:odp@ed.gov"
- },
- "description": "#IDEA Section 618 Data Products: Static Tables\n##Part B Child Count and Educational Environments\nTable 18 Number and percent of children in race/ethnicity category ages 3 through 5 (not in kindergarten) with disabilities served under IDEA, Part B, by educational environment and state.",
- "distribution": [
- {
- "@type": "dcat:Distribution",
- "description": "#IDEA Section 618 Data Products: Static Tables\n##Part B Child Count and Educational Environments\nTable 18 Number and percent of children in race/ethnicity category ages 3 through 5 (not in kindergarten) with disabilities served under IDEA, Part B, by educational environment and state.\n2021-2022",
- "downloadURL": "https://data.ed.gov/dataset/ff63184c-d596-4899-abdc-3d3bf6a955aa/resource/992b2fd3-0250-4c97-8d77-9c7a36624e5c/download/2122-bchildcountandedenvironment-18.xlsx",
- "format": "XLSX",
- "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
- "title": "2021-2022"
- },
- {
- "@type": "dcat:Distribution",
- "description": "#IDEA Section 618 Data Products: Static Tables\n##Part B Child Count and Educational Environments\nTable 18 Number and percent of children in race/ethnicity category ages 3 through 5 with disabilities served under IDEA, Part B, by educational environment and state.\n2014-2015",
- "downloadURL": "https://data.ed.gov/dataset/ff63184c-d596-4899-abdc-3d3bf6a955aa/resource/b242af7d-52b9-4f39-a148-1d1d6369ad62/download/1415-bchildcountandedenvironment-18.xlsx",
- "format": "XLSX",
- "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
- "title": "2014-2015"
- },
- {
- "@type": "dcat:Distribution",
- "description": "#IDEA Section 618 Data Products: Static Tables\n##Part B Child Count and Educational Environments\nTable 18 Number and percent of children in race/ethnicity category ages 3 through 5 with disabilities served under IDEA, Part B, by educational environment and state.\n2015-2016",
- "downloadURL": "https://data.ed.gov/dataset/ff63184c-d596-4899-abdc-3d3bf6a955aa/resource/1f352a69-3dd6-4a39-8ffc-4fd3122e1095/download/1516-bchildcountandedenvironment-18.xlsx",
- "format": "XLSX",
- "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
- "title": "2015-2016"
- },
- {
- "@type": "dcat:Distribution",
- "description": "#IDEA Section 618 Data Products: Static Tables\n##Part B Child Count and Educational Environments\nTable 18 Number and percent of children in race/ethnicity category ages 3 through 5 with disabilities served under IDEA, Part B, by educational environment and state.\n2016-2017",
- "downloadURL": "https://data.ed.gov/dataset/ff63184c-d596-4899-abdc-3d3bf6a955aa/resource/f26340b9-0b99-47c4-9e11-9ceaf6cebf15/download/1617-bchildcountandedenvironment-18.xlsx",
- "format": "XLSX",
- "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
- "title": "2016-2017"
- },
- {
- "@type": "dcat:Distribution",
- "description": "#IDEA Section 618 Data Products: Static Tables\n##Part B Child Count and Educational Environments\nTable 18 Number and percent of children in race/ethnicity category ages 3 through 5 with disabilities served under IDEA, Part B, by educational environment and state.\n2017-2018",
- "downloadURL": "https://data.ed.gov/dataset/ff63184c-d596-4899-abdc-3d3bf6a955aa/resource/ae19ac5a-ea29-4d06-8b0a-52d1cdb4f9ea/download/1718-bchildcountandedenvironment-18.xlsx",
- "format": "XLSX",
- "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
- "title": "2017-2018"
- },
- {
- "@type": "dcat:Distribution",
- "description": "#IDEA Section 618 Data Products: Static Tables\n##Part B Child Count and Educational Environments\nTable 18 Number and percent of children in race/ethnicity category ages 3 through 5 with disabilities served under IDEA, Part B, by educational environment and state.\n2018-2019",
- "downloadURL": "https://data.ed.gov/dataset/ff63184c-d596-4899-abdc-3d3bf6a955aa/resource/9a3f46e3-605a-4bce-9445-990bac14885a/download/1819-bchildcountandedenvironment-18.xlsx",
- "format": "XLSX",
- "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
- "title": "2018-2019"
- },
- {
- "@type": "dcat:Distribution",
- "description": "#IDEA Section 618 Data Products: Static Tables\n##Part B Child Count and Educational Environments\nTable 18 Number and percent of children in race/ethnicity category ages 3 through 5 with disabilities served under IDEA, Part B, by educational environment and state.\n2019-2020",
- "downloadURL": "https://data.ed.gov/dataset/ff63184c-d596-4899-abdc-3d3bf6a955aa/resource/217088bf-7f8e-4356-a380-f864aec2cfdb/download/1920-bchildcountandedenvironment-18.xlsx",
- "format": "XLSX",
- "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
- "title": "2019-2020"
- },
- {
- "@type": "dcat:Distribution",
- "description": "#IDEA Section 618 Data Products: Static Tables\n##Part B Child Count and Educational Environments\nTable 18 Number and percent of children in race/ethnicity category ages 3 through 5 with disabilities served under IDEA, Part B, by educational environment and state.\n2020-2021",
- "downloadURL": "https://data.ed.gov/dataset/ff63184c-d596-4899-abdc-3d3bf6a955aa/resource/39bab00e-95df-4aea-9858-99879366f98c/download/2021-bchildcountandedenvironment-18.xlsx",
- "format": "XLSX",
- "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
- "title": "2020-2021"
- },
- {
- "@type": "dcat:Distribution",
- "description": "Table 18 Number and percent of children in race/ethnicity category ages 3 through 5 (not in kindergarten) with disabilities served under IDEA, Part B, by educational environment and state.",
- "downloadURL": "https://data.ed.gov/dataset/ff63184c-d596-4899-abdc-3d3bf6a955aa/resource/2acb288a-517b-4de1-aa39-abca087fbe11/download/2425-bchildcountandedenvironment-18.xlsx",
- "format": "XLSX",
- "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
- "title": "2024-2025"
- },
- {
- "@type": "dcat:Distribution",
- "description": "Table 18 Number and percent of children in race/ethnicity category ages 3 through 5 (not in kindergarten) with disabilities served under IDEA, Part B, by educational environment and state.",
- "downloadURL": "https://data.ed.gov/dataset/ff63184c-d596-4899-abdc-3d3bf6a955aa/resource/6bd984d8-3637-4dab-87fe-41f38820854d/download/2223-bchildcountandedenvironment-18.xlsx",
- "format": "XLSX",
- "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
- "title": "2022-2023"
- },
- {
- "@type": "dcat:Distribution",
- "description": "Table 18 Number and percent of children in race/ethnicity category ages 3 through 5 (not in kindergarten) with disabilities served under IDEA, Part B, by educational environment and state.",
- "downloadURL": "https://data.ed.gov/dataset/ff63184c-d596-4899-abdc-3d3bf6a955aa/resource/f222362b-5b5c-4d17-bed1-221e9513bbc7/download/2324-bchildcountandedenvironment-18.xlsx",
- "format": "XLSX",
- "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
- "title": "2023-2024"
- }
- ],
- "identifier": "ff63184c-d596-4899-abdc-3d3bf6a955aa",
- "keyword": [
- "United States",
- "count",
- "data-products",
- "environment",
- "ethnicity",
- "individuals-with-disabilities-education-act",
- "national",
- "part-b",
- "performance",
- "race",
- "section-618",
- "special-education",
- "static-tables"
- ],
- "landingPage": "https://data.ed.gov/dataset/idea-section-618-data-products-static-tables-part-b",
- "license": "http://www.opendefinition.org/licenses/cc-zero",
- "modified": "2026-09-14T16:46:38.773340",
- "programCode": [
- "018:000"
- ],
- "publisher": {
- "@type": "org:Organization",
- "name": "Office of Special Education Programs (OSEP)"
- },
- "spatial": "United States",
- "title": "IDEA Section 618 Data Products: Static Tables Part B Child Count & Educational Environments Table 18"
- },
- "description": "#IDEA Section 618 Data Products: Static Tables\n##Part B Child Count and Educational Environments\nTable 18 Number and percent of children in race/ethnicity category ages 3 through 5 (not in kindergarten) with disabilities served under IDEA, Part B, by educational environment and state.",
- "distribution_titles": [
- "2021-2022",
- "2014-2015",
- "2015-2016",
- "2016-2017",
- "2017-2018",
- "2018-2019",
- "2019-2020",
- "2020-2021",
- "2024-2025",
- "2022-2023",
- "2023-2024"
- ],
- "harvest_record": "https://catalog.data.gov/harvest_record/13996fb6-8e21-45b2-b82c-203323856cce",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/13996fb6-8e21-45b2-b82c-203323856cce/raw",
- "
+ "downloadU