Timeline / Data.gov — Environment Datasets
changed Source changed
A new raw object was archived. Both versions are preserved. 5723 line(s) added, 6684 line(s) removed.
Evidence
| Source | Data.gov — Environment Datasets |
|---|---|
| Agency | Data.gov |
| URL | https://api.gsa.gov/technology/datagov/v4/search?q=environment&sort=last_harvested_date&per_page=100&api_key=${DATAGOV_API_KEY} |
| Observed by | Civic Memory, directly, on 2026-09-25T00:29:36+00:00 |
| Content type | application/json |
| Current object |
bd44efdd4c06382ffcc89da201311793ad4b7f5925a0bb78f01dd312d17f1bd6
download raw
metadata
|
| Previous object |
7d2f26abc5b68df2b1e6b5b2c5936a49dad6021d30458bb9dda0d831a144ff70
download raw
metadata
|
What changed derived
This diff is not evidence. It was produced by
civic-memory.diff_engine 1.1.0 at
2026-09-25T00:29:36+00:00 by normalizing the two archived objects above. The
objects are authoritative; this reading of them can be regenerated or deleted
without loss. 5723 line(s) added, 6684 line(s) removed.
--- previous +++ current @@ -1,171 +1,290 @@ { - "after": "WzE3OTAxODk2MzQ5NDMsNC42MDM1OTk1LDcsImJlYjIxYTNiLWNjMmYtNDBjNi1iN2Y0LTJlOWEzZTA0ZTEwNiJd", + "after": "WzE3OTAyNzk0MjkxNDksOS4yNzI4NzEsMSwiMWI0MWY0NjAtOTMxMi00NjU2LThjOTYtYzJhNTUwOGNhMGFkIl0=", "results": [ { - "_score": 9.457716, + "_score": 4.725747, "_sort": [ - 1790272225653, - 9.457716, - 0, - "0a543334-608b-46c7-9474-9e6bfd8a4192" + 1790294203188, + 4.725747, + 4, + "42127341-f558-4104-b9d9-6a699b4d42d4" ], "dcat": { "@type": "dcat:Dataset", "accessLevel": "public", "contactPoint": { "@type": "vcard:Contact", - "fn": "Charlotte NC", - "hasEmail": "mailto:gisadmins@ci.charlotte.nc.us" - }, - "description": "A one-hundred-year flood is a flood event that has a 1% probability of occurring in any given year. The 100-year flood is also referred to as the 1% flood, since its annual exceedance probability is 1%,[1] or as having a return period of 100-years. The 100-year flood is generally expressed as a flowrate. Based on the expected 100-year flood flow rate in a given creek, river or surface water system, the flood water level can be mapped as an area of inundation. The resulting floodplain map is referred to as the 100-year floodplain, which may figure very importantly in building permits, environmental regulations, and flood insurance. Flood hazard areas identified on the Flood Insurance Rate Map are identified as a Special Flood Hazard Area (SFHA). SFHA are defined as the area that will be inundated by the flood event having a 1-percent chance of being equaled or exceeded in any given year. The 1-percent annual chance flood is also referred to as the base flood or 100-year flood.", + "fn": "Florida Fish and Wildlife Conservation Commission - Fish and Wildlife Research Institute (FWC-FWRI)", + "hasEmail": "mailto:jporter@uga.edu" + }, + "describedByType": "application/octet-stream", + "description": "The primary goal of the Coral Reef Evaluation and Monitoring Project (CREMP) is to measure the status and trends of these communities to assist managers in understanding, protecting, and restoring the living marine resources of the Florida Keys National Marine Sanctuary. Data from the project will be used to determine (1) overall net increase or decrease in stony coral percent cover and stony coral species richness, (2) overall net change in measurable reef community parameters, (3) changes observed in individual reef communities with no overall change on a landscape scale (decreases in one location balanced by increases elsewhere) or changes that are linked to specific regions of the landscape. Each of these potential mechanisms of change will result in different spatial patterns of change. A Sanctuary-wide, rather than a single-location survey, is necessary to detect ecosystem change.", "distribution": [ { "@type": "dcat:Distribution", - "accessURL": "https://data.charlottenc.gov/api/download/v1/items/4d477ca0cfd644b79aa9640af705d1cb/csv?layers=0", - "format": "CSV", - "mediaType": "text/csv", - "title": "CSV" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://data.charlottenc.gov/api/download/v1/items/4d477ca0cfd644b79aa9640af705d1cb/filegdb?layers=0", - "format": "ZIP", - "mediaType": "application/zip", - "title": "File Geodatabase" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://data.charlottenc.gov/api/download/v1/items/4d477ca0cfd644b79aa9640af705d1cb/geojson?layers=0", - "format": "GeoJSON", - "mediaType": "application/vnd.geo+json", - "title": "GeoJSON" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://data.charlottenc.gov/api/download/v1/items/4d477ca0cfd644b79aa9640af705d1cb/kml?layers=0", - "format": "KML", - "mediaType": "application/vnd.google-earth.kml+xml", - "title": "KML" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://data.charlottenc.gov/api/download/v1/items/4d477ca0cfd644b79aa9640af705d1cb/shapefile?layers=0", - "format": "ZIP", - "mediaType": "application/zip", - "title": "Shapefile" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://data.charlottenc.gov/datasets/charlotte::fema-floodplain-1", - "format": "Web Page", + "accessURL": "https://gcoos4.geos.tamu.edu/erddap/tabledap/CREMP_FloridaKeys_Coral_Pcover.html", + "describedByType": "application/octet-stream", + "description": "ERDDAP's version of the OPeNDAP .html web page for this dataset. Specify a subset of the dataset and download the data via OPeNDAP or in many different file types.", "mediaType": "text/html", - "title": "ArcGIS Hub Dataset" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://meckgis.mecklenburgcountync.gov/server/rest/services/FEMAFloodplain/FeatureServer/0", - "format": "ArcGIS GeoServices REST API", - "mediaType": "application/json", - "title": "ArcGIS GeoService" + "title": "Data Subset Form" + }, + { + "@type": "dcat:Distribution", + "describedByType": "application/octet-stream", + "description": "ERDDAP's Make-A-Graph .html web page for this dataset. Create an image with a map or graph of a subset of the data.", + "downloadURL": "https://gcoos4.geos.tamu.edu/erddap/tabledap/CREMP_FloridaKeys_Coral_Pcover.graph", + "mediaType": "placeholder/value", + "title": "Make-A-Graph Form" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://myfwc.com/research/habitat/coral/cremp/", + "describedByType": "application/octet-stream", + "description": "Background information from the source", + "mediaType": "text/html", + "title": "Background Information" } ], - "identifier": "https://www.arcgis.com/home/item.html?id=4d477ca0cfd644b79aa9640af705d1cb&sublayer=0", - "issued": "2022-01-25T01:27:59.000Z", - "keyword": [ - "100 Year", - "Charlotte", - "Encroachment", - "Environment", - "FEMA", - "Flood Special Flood Hazard Area", - "Floodway", - "Mecklenburg County", - "North Carolina", - "USA" - ], - "landingPage": "https://data.charlottenc.gov/datasets/charlotte::fema-floodplain-1", - "license": "https://creativecommons.org/licenses/by/4.0", - "modified": "2026-09-23T23:53:40.000Z", + "identifier": "https://data.noaa.gov/waf/NOAA/ioos/iso/xml/CREMP_FloridaKeys_Coral_Pcover.xml", + "isPartOf": "Coral Reef Evaluation and Monitoring Project (CREMP)", + "issued": "2024-10-21T00:00:00.000+00:00", + "keyword": [ + "algae", + "assessment", + "Atlantic Ocean", + "benthic", + "biology", + "biota", + "Biscayne Bay", + "Broward", + "coastal", + "corals", + "Dry Tortugas", + "environment", + "Florida Bay", + "Florida Keys", + "FWC Region-South", + "Gulf of Mexico", + "John Pennekamp Coral Reef State Park", + "Lower Keys", + "marine", + "Martin", + "Miami-Dade", + "Middle Keys", + "monitoring", + "Monroe", + "national marine sanctuary", + "oceans", + "Palm Beach", + "Scleractinia", + "Upper Keys", + "Coral Reef Evaluation and Monitoring Project (CREMP)", + "time", + "latitude", + "longitude", + "year", + "subregion", + "habitat", + "siteid", + "site_name", + "stationid", + "surveyed_all_years", + "points", + "acropora_cervicornis", + "acropora_palmata", + "agaricia_fragilis", + "agaricia_lamarcki", + "cladocora_arbuscula", + "colpophyllia_natans", + "dendrogyra_cylindrus", + "dichocoenia_stokesii", + "diploria_labyrinthiformis", + "eusmilia_fastigiata", + "favia_fragum", + "helioseris_cucullata", + "isophyllia_rigida", + "isophyllia_sinuosa", + "madracis_aurentenra", + "madracis_decactis_complex", + "manicina_areolata", + "meandrina_meandrites", + "millepora_alcicornis", + "millepora_complanata", + "montastraea_cavernosa", + "mussa_angulosa", + "mycetophyllia_aliciae", + "mycetophyllia_ferox", + "mycetophyllia_lamarckiana_complex", + "oculina_diffusa", + "oculina_robusta", + "orbicella_annularis_complex", + "phyllangia_americana", + "porites_astreoides", + "porites_porites_complex", + "pseudodiploria_clivosa", + "pseudodiploria_strigosa", + "scleractinia", + "scolymia_sp", + "siderastrea_radians", + "siderastrea_siderea", + "solenastrea_bournoni", + "stephanocoenia_intersepta", + "undaria_agaricites_complex" + ], + "landingPage": "https://myfwc.com/research/habitat/coral/cremp/", + "language": [], + "license": "https://creativecommons.org/publicdomain/zero/1.0/", + "modified": "2024-10-21T00:00:00.000+00:00", "publisher": { - "name": "City of Charlotte" - }, - "spatial": "-81.0563,34.9987,-80.5679,35.5197", + "@type": "org:Organization", + "name": "GCOOS" + }, + "spatial": "-80.2087,24.4517,-81.9195,25.2953", + "temporal": "1996-06-04T00:00:00+00:00/2023-09-13T00:00:00+00:00", "theme": [ "geospatial" ], - "title": "FEMA Floodplain" - }, - "description": "A one-hundred-year flood is a flood event that has a 1% probability of occurring in any given year. The 100-year flood is also referred to as the 1% flood, since its annual exceedance probability is 1%,[1] or as having a return period of 100-years. The 100-year flood is generally expressed as a flowrate. Based on the expected 100-year flood flow rate in a given creek, river or surface water system, the flood water level can be mapped as an area of inundation. The resulting floodplain map is referred to as the 100-year floodplain, which may figure very importantly in building permits, environmental regulations, and flood insurance. Flood hazard areas identified on the Flood Insurance Rate Map are identified as a Special Flood Hazard Area (SFHA). SFHA are defined as the area that will be inundated by the flood event having a 1-percent chance of being equaled or exceeded in any given year. The 1-percent annual chance flood is also referred to as the base flood or 100-year flood.", + "title": "CREMP Florida Keys Yearly Revisited Stony Coral Percent Coverage" + }, + "description": "The primary goal of the Coral Reef Evaluation and Monitoring Project (CREMP) is to measure the status and trends of these communities to assist managers in understanding, protecting, and restoring the living marine resources of the Florida Keys National Marine Sanctuary. Data from the project will be used to determine (1) overall net increase or decrease in stony coral percent cover and stony coral species richness, (2) overall net change in measurable reef community parameters, (3) changes observed in individual reef communities with no overall change on a landscape scale (decreases in one location balanced by increases elsewhere) or changes that are linked to specific regions of the landscape. Each of these potential mechanisms of change will result in different spatial patterns of change. A Sanctuary-wide, rather than a single-location survey, is necessary to detect ecosystem change.", "distribution_titles": [ - "CSV", - "File Geodatabase", - "GeoJSON", - "KML", - "Shapefile", - "ArcGIS Hub Dataset", - "ArcGIS GeoService" - ], - "harvest_record": "https://catalog.data.gov/harvest_record/d3351889-64b9-4966-aa39-9a83c133a830", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/d3351889-64b9-4966-aa39-9a83c133a830/raw", - "has_download": false, + "Data Subset Form", + "Make-A-Graph Form", + "Background Information" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/dcc65584-5697-4f44-8aab-ebd4e8a8f107", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/dcc65584-5697-4f44-8aab-ebd4e8a8f107/raw", + "harvest_record_transformed": "https://catalog.data.gov/harvest_record/dcc65584-5697-4f44-8aab-ebd4e8a8f107/transformed", + "has_download": true, "has_spatial": true, - "identifier": "https://www.arcgis.com/home/item.html?id=4d477ca0cfd644b79aa9640af705d1cb&sublayer=0", - "keyword": [ - "100 Year", - "Charlotte", - "Encroachment", - "Environment", - "FEMA", - "Flood Special Flood Hazard Area", - "Floodway", - "Mecklenburg County", - "North Carolina", - "USA" - ], - "last_harvested_date": "2026-09-24T17:50:25.653811", + "identifier": "https://data.noaa.gov/waf/NOAA/ioos/iso/xml/CREMP_FloridaKeys_Coral_Pcover.xml", + "keyword": [ + "algae", + "assessment", + "Atlantic Ocean", + "benthic", + "biology", + "biota", + "Biscayne Bay", + "Broward", + "coastal", + "corals", + "Dry Tortugas", + "environment", + "Florida Bay", + "Florida Keys", + "FWC Region-South", + "Gulf of Mexico", + "John Pennekamp Coral Reef State Park", + "Lower Keys", + "marine", + "Martin", + "Miami-Dade", + "Middle Keys", + "monitoring", + "Monroe", + "national marine sanctuary", + "oceans", + "Palm Beach", + "Scleractinia", + "Upper Keys", + "Coral Reef Evaluation and Monitoring Project (CREMP)", + "time", + "latitude", + "longitude", + "year", + "subregion", + "habitat", + "siteid", + "site_name", + "stationid", + "surveyed_all_years", + "points", + "acropora_cervicornis", + "acropora_palmata", + "agaricia_fragilis", + "agaricia_lamarcki", + "cladocora_arbuscula", + "colpophyllia_natans", + "dendrogyra_cylindrus", + "dichocoenia_stokesii", + "diploria_labyrinthiformis", + "eusmilia_fastigiata", + "favia_fragum", + "helioseris_cucullata", + "isophyllia_rigida", + "isophyllia_sinuosa", + "madracis_aurentenra", + "madracis_decactis_complex", + "manicina_areolata", + "meandrina_meandrites", + "millepora_alcicornis", + "millepora_complanata", + "montastraea_cavernosa", + "mussa_angulosa", + "mycetophyllia_aliciae", + "mycetophyllia_ferox", + "mycetophyllia_lamarckiana_complex", + "oculina_diffusa", + "oculina_robusta", + "orbicella_annularis_complex", + "phyllangia_americana", + "porites_astreoides", + "porites_porites_complex", + "pseudodiploria_clivosa", + "pseudodiploria_strigosa", + "scleractinia", + "scolymia_sp", + "siderastrea_radians", + "siderastrea_siderea", + "solenastrea_bournoni", + "stephanocoenia_intersepta", + "undaria_agaricites_complex" + ], + "last_harvested_date": "2026-09-24T23:56:43.188369", "organization": { "aliases": [ - "north carolina" + "" ], "code_repo_exempt": false, "code_repo_url": null, "description": null, - "id": "771e022a-4a81-4cce-ac79-f6e04bdf76d3", - "logo": "", - "name": "City of Charlotte", - "organization_type": "City Government", - "slug": "charlotte-nc" + "id": "5f4f1195-e770-4a2a-8f75-195cd98860ce", + "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/noaa.png", + "name": "National Oceanic and Atmospheric Administration, Department of Commerce", + "organization_type": "Federal Government", + "slug": "noaa" }, "parent_identifier": null, - "popularity": 0, - "publisher": "City of Charlotte", - "slug": "fema-floodplain", + "popularity": 4, + "publisher": "GCOOS", + "slug": "cremp-florida-keys-yearly-revisited-stony-coral-percent-coverage", "spatial_centroid": { - "lat": 35.207100000000004, - "lon": -80.86094 + "lat": 24.78914, + "lon": -80.89302 }, "spatial_shape": { "coordinates": [ [ [ - -81.0563, - 34.9987 - ], - [ - -81.0563, - 35.5197 - ], - [ - -80.5679, - 35.5197 - ], - [ - -80.5679, - 34.9987 - ], - [ - -81.0563, - 34.9987 + -80.2087, + 24.4517 + ], + [ + -80.2087, + 25.2953 + ], + [ + -81.9195, + 25.2953 + ], + [ + -81.9195, + 24.4517 + ], + [ + -80.2087, + 24.4517 ] ] ], @@ -174,6958 +293,5878 @@ "theme": [ "geospatial" ], - "title": "FEMA Floodplain", + "title": "CREMP Florida Keys Yearly Revisited Stony Coral Percent Coverage", "type": "dataset" }, { - "_score": 10.169591, + "_score": 4.982109, "_sort": [ - 1790272225441, - 10.169591, - 0, - "bf158ad5-559e-4863-8af0-4f005a773135" + 1790294202201, + 4.982109, + 1, + "60e840f0-3f1a-4f78-a08a-636933ea7d7d" ], "dcat": { "@type": "dcat:Dataset", "accessLevel": "public", "contactPoint": { "@type": "vcard:Contact", - "fn": "Charlotte NC", - "hasEmail": "mailto:gisadmins@ci.charlotte.nc.us" - }, - "description": "An area of the floodplain that must be kept clear of any obstruction (fill dirt, buildings, etc) as to not impede the flow of water. Development in this area is very restrictive, and usually requires a detailed engineering analysis (and FEMA approval) prior to beginning development. The location and width of the FEMA Floodway Area is established by engineering models that determine the area needed to convey the FEMA Base Flood Discharge without increasing the water surface elevation more than 0.5 foot.", + "fn": "Florida Fish and Wildlife Conservation Commission - Fish and Wildlife Research Institute (FWC-FWRI)", + "hasEmail": "mailto:jporter@uga.edu" + }, + "describedByType": "application/octet-stream", + "description": "The primary goal of the Coral Reef Evaluation and Monitoring Project (CREMP) is to measure the status and trends of these communities to assist managers in understanding, protecting, and restoring the living marine resources of the Florida Keys National Marine Sanctuary. Data from the project will be used to determine (1) overall net increase or decrease in stony coral percent cover and stony coral species richness, (2) overall net change in measurable reef community parameters, (3) changes observed in individual reef communities with no overall change on a landscape scale (decreases in one location balanced by increases elsewhere) or changes that are linked to specific regions of the landscape. Each of these potential mechanisms of change will result in different spatial patterns of change. A Sanctuary-wide, rather than a single-location survey, is necessary to detect ecosystem change.", "distribution": [ { "@type": "dcat:Distribution", - "accessURL": "https://data.charlottenc.gov/api/download/v1/items/e11da2359b6a4a72b89a6d2148a798d3/csv?layers=0", - "format": "CSV", - "mediaType": "text/csv", - "title": "CSV" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://data.charlottenc.gov/api/download/v1/items/e11da2359b6a4a72b89a6d2148a798d3/filegdb?layers=0", - "format": "ZIP", - "mediaType": "application/zip", - "title": "File Geodatabase" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://data.charlottenc.gov/api/download/v1/items/e11da2359b6a4a72b89a6d2148a798d3/geojson?layers=0", - "format": "GeoJSON", - "mediaType": "application/vnd.geo+json", - "title": "GeoJSON" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://data.charlottenc.gov/api/download/v1/items/e11da2359b6a4a72b89a6d2148a798d3/kml?layers=0", - "format": "KML", - "mediaType": "application/vnd.google-earth.kml+xml", - "title": "KML" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://data.charlottenc.gov/api/download/v1/items/e11da2359b6a4a72b89a6d2148a798d3/shapefile?layers=0", - "format": "ZIP", - "mediaType": "application/zip", - "title": "Shapefile" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://data.charlottenc.gov/datasets/charlotte::fema-floodway-encroachment-1", - "format": "Web Page", + "accessURL": "https://gcoos4.geos.tamu.edu/erddap/tabledap/CREMP_DryTortugas_Coral_Pcover.html", + "describedByType": "application/octet-stream", + "description": "ERDDAP's version of the OPeNDAP .html web page for this dataset. Specify a subset of the dataset and download the data via OPeNDAP or in many different file types.", "mediaType": "text/html", - "title": "ArcGIS Hub Dataset" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://meckgis.mecklenburgcountync.gov/server/rest/services/FEMAFloodway/FeatureServer/0", - "format": "ArcGIS GeoServices REST API", - "mediaType": "application/json", - "title": "ArcGIS GeoService" + "title": "Data Subset Form" + }, + { + "@type": "dcat:Distribution", + "describedByType": "application/octet-stream", + "description": "ERDDAP's Make-A-Graph .html web page for this dataset. Create an image with a map or graph of a subset of the data.", + "downloadURL": "https://gcoos4.geos.tamu.edu/erddap/tabledap/CREMP_DryTortugas_Coral_Pcover.graph", + "mediaType": "placeholder/value", + "title": "Make-A-Graph Form" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://myfwc.com/research/habitat/coral/cremp/", + "describedByType": "application/octet-stream", + "description": "Background information from the source", + "mediaType": "text/html", + "title": "Background Information" } ], - "identifier": "https://www.arcgis.com/home/item.html?id=e11da2359b6a4a72b89a6d2148a798d3&sublayer=0", - "issued": "2022-01-25T01:40:46.000Z", - "keyword": [ - "Charlotte", - "Encroachment", - "Environment", - "FEMA", - "Floodway", - "Mecklenburg County", - "North Carolina", - "USA" - ], - "landingPage": "https://data.charlottenc.gov/datasets/charlotte::fema-floodway-encroachment-1", - "license": "https://creativecommons.org/licenses/by/4.0", - "modified": "2026-09-23T23:53:43.000Z", + "identifier": "https://data.noaa.gov/waf/NOAA/ioos/iso/xml/CREMP_DryTortugas_Coral_Pcover.xml", + "isPartOf": "Coral Reef Evaluation and Monitoring Project (CREMP)", + "issued": "2024-10-18T00:00:00.000+00:00", + "keyword": [ + "algae", + "assessment", + "Atlantic Ocean", + "benthic", + "biology", + "biota", + "Biscayne Bay", + "Broward", + "coastal", + "corals", + "Dry Tortugas", + "environment", + "Florida Bay", + "Florida Keys", + "FWC Region-South", + "Gulf of Mexico", + "John Pennekamp Coral Reef State Park", + "Lower Keys", + "marine", + "Martin", + "Miami-Dade", + "Middle Keys", + "monitoring", + "Monroe", + "national marine sanctuary", + "oceans", + "Palm Beach", + "Scleractinia", + "Upper Keys", + "Coral Reef Evaluation and Monitoring Project (CREMP)", + "time", + "latitude", + "longitude", + "year", + "subregion", + "habitat", + "siteid", + "site_name", + "stationid", + "points", + "acropora_cervicornis", + "acropora_palmata", + "acropora_prolifera", + "agaricia_fragilis", + "agaricia_lamarcki", + "cladocora_arbuscula", + "colpophyllia_natans", + "dichocoenia_stokesii", + "diploria_labyrinthiformis", + "eusmilia_fastigiata", + "favia_fragum", + "helioseris_cucullata", + "isophyllia_rigida", + "madracis_aurentenra", + "madracis_decactis_complex", + "manicina_areolata", + "meandrina_meandrites", + "millepora_alcicornis", + "millepora_complanata", + "montastraea_cavernosa", + "mussa_angulosa", + "mycetophyllia_aliciae", + "mycetophyllia_ferox", + "mycetophyllia_lamarckiana_complex", + "oculina_diffusa", + "oculina_robusta", + "orbicella_annularis_complex", + "porites_astreoides", + "porites_porites_complex", + "pseudodiploria_clivosa", + "pseudodiploria_strigosa", + "scleractinia", + "scolymia_sp", + "siderastrea_radians", + "siderastrea_siderea", + "solenastrea_bournoni", + "stephanocoenia_intersepta", + "undaria_agaricites_complex" + ], + "landingPage": "https://myfwc.com/research/habitat/coral/cremp/", + "language": [], + "license": "https://creativecommons.org/publicdomain/zero/1.0/", + "modified": "2024-10-18T00:00:00.000+00:00", "publisher": { - "name": "City of Charlotte" - }, - "spatial": "-81.0285,34.9993,-80.5677,35.5115", + "@type": "org:Organization", + "name": "GCOOS" + }, + "spatial": "-82.8673,24.608,-83.0022,24.6993", + "temporal": "1999-06-03T00:00:00+00:00/2023-08-12T00:00:00+00:00", "theme": [ "geospatial" ], - "title": "FEMA Floodway Encroachment" - }, - "description": "An area of the floodplain that must be kept clear of any obstruction (fill dirt, buildings, etc) as to not impede the flow of water. Development in this area is very restrictive, and usually requires a detailed engineering analysis (and FEMA approval) prior to beginning development. The location and width of the FEMA Floodway Area is established by engineering models that determine the area needed to convey the FEMA Base Flood Discharge without increasing the water surface elevation more than 0.5 foot.", + "title": "CREMP Dry Tortugas Yearly Revisited Stony Coral Percent Coverage" + }, + "description": "The primary goal of the Coral Reef Evaluation and Monitoring Project (CREMP) is to measure the status and trends of these communities to assist managers in understanding, protecting, and restoring the living marine resources of the Florida Keys National Marine Sanctuary. Data from the project will be used to determine (1) overall net increase or decrease in stony coral percent cover and stony coral species richness, (2) overall net change in measurable reef community parameters, (3) changes observed in individual reef communities with no overall change on a landscape scale (decreases in one location balanced by increases elsewhere) or changes that are linked to specific regions of the landscape. Each of these potential mechanisms of change will result in different spatial patterns of change. A Sanctuary-wide, rather than a single-location survey, is necessary to detect ecosystem change.", "distribution_titles": [ - "CSV", - "File Geodatabase", - "GeoJSON", - "KML", - "Shapefile", - "ArcGIS Hub Dataset", - "ArcGIS GeoService" - ], - "harvest_record": "https://catalog.data.gov/harvest_record/c07b016c-a1a5-4fa2-8b31-c6683f200994", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/c07b016c-a1a5-4fa2-8b31-c6683f200994/raw", - "has_download": false, + "Data Subset Form", + "Make-A-Graph Form", + "Background Information" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/d1bb7179-1ca3-48e7-9b69-ca66500576be", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/d1bb7179-1ca3-48e7-9b69-ca66500576be/raw", + "harvest_record_transformed": "https://catalog.data.gov/harvest_record/d1bb7179-1ca3-48e7-9b69-ca66500576be/transformed", + "has_download": true, "has_spatial": true, - "identifier": "https://www.arcgis.com/home/item.html?id=e11da2359b6a4a72b89a6d2148a798d3&sublayer=0", - "keyword": [ - "Charlotte", - "Encroachment", - "Environment", - "FEMA", - "Floodway", - "Mecklenburg County", - "North Carolina", - "USA" - ], - "last_harvested_date": "2026-09-24T17:50:25.441894", + "identifier": "https://data.noaa.gov/waf/NOAA/ioos/iso/xml/CREMP_DryTortugas_Coral_Pcover.xml", + "keyword": [ + "algae", + "assessment", + "Atlantic Ocean", + "benthic", + "biology", + "biota", + "Biscayne Bay", + "Broward", + "coastal", + "corals", + "Dry Tortugas", + "environment", + "Florida Bay", + "Florida Keys", + "FWC Region-South", + "Gulf of Mexico", + "John Pennekamp Coral Reef State Park", + "Lower Keys", + "marine", + "Martin", + "Miami-Dade", + "Middle Keys", + "monitoring", + "Monroe", + "national marine sanctuary", + "oceans", + "Palm Beach", + "Scleractinia", + "Upper Keys", + "Coral Reef Evaluation and Monitoring Project (CREMP)", + "time", + "latitude", + "longitude", + "year", + "subregion", + "habitat", + "siteid", + "site_name", + "stationid", + "points", + "acropora_cervicornis", + "acropora_palmata", + "acropora_prolifera", + "agaricia_fragilis", + "agaricia_lamarcki", + "cladocora_arbuscula", + "colpophyllia_natans", + "dichocoenia_stokesii", + "diploria_labyrinthiformis", + "eusmilia_fastigiata", + "favia_fragum", + "helioseris_cucullata", + "isophyllia_rigida", + "madracis_aurentenra", + "madracis_decactis_complex", + "manicina_areolata", + "meandrina_meandrites", + "millepora_alcicornis", + "millepora_complanata", + "montastraea_cavernosa", + "mussa_angulosa", + "mycetophyllia_aliciae", + "mycetophyllia_ferox", + "mycetophyllia_lamarckiana_complex", + "oculina_diffusa", + "oculina_robusta", + "orbicella_annularis_complex", + "porites_astreoides", + "porites_porites_complex", + "pseudodiploria_clivosa", + "pseudodiploria_strigosa", + "scleractinia", + "scolymia_sp", + "siderastrea_radians", + "siderastrea_siderea", + "solenastrea_bournoni", + "stephanocoenia_intersepta", + "undaria_agaricites_complex" + ], + "last_harvested_date": "2026-09-24T23:56:42.201231", "organization": { "aliases": [ - "north carolina" + "" ], "code_repo_exempt": false, "code_repo_url": null, "description": null, - "id": "771e022a-4a81-4cce-ac79-f6e04bdf76d3", - "logo": "", - "name": "City of Charlotte", - "organization_type": "City Government", - "slug": "charlotte-nc" + "id": "5f4f1195-e770-4a2a-8f75-195cd98860ce", + "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/noaa.png", + "name": "National Oceanic and Atmospheric Administration, Department of Commerce", + "organization_type": "Federal Government", + "slug": "noaa" + }, + "parent_identifier": null, + "popularity": 1, + "publisher": "GCOOS", + "slug": "cremp-dry-tortugas-yearly-revisited-stony-coral-percent-coverage", + "spatial_centroid": { + "lat": 24.64452, + "lon": -82.92126 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + -82.8673, + 24.608 + ], + [ + -82.8673, + 24.6993 + ], + [ + -83.0022, + 24.6993 + ], + [ + -83.0022, + 24.608 + ], + [ + -82.8673, + 24.608 + ] + ] + ], + "type": "Polygon" + }, + "theme": [ + "geospatial" + ], + "title": "CREMP Dry Tortugas Yearly Revisited Stony Coral Percent Coverage", + "type": "dataset" + }, + { + "_score": 21.718796, + "_sort": [ + 1790284446389, + 21.718796, + 1, + "63208031-b532-4ca6-9d4b-63cda4ce4695" + ], + "dcat": { + "@type": "Dataset", + "accessLevel": "non-public", + "accessRights": "non-public", + "accrualPeriodicity": null, + "bureauCode": [ + "016:00" + ], + "contactPoint": { + "@type": "Kind", + "fn": "Open Data", + "hasEmail": "mailto:Open.Data@ssa.gov" + }, + "dataQuality": null, + "describedBy": null, + "description": "Data store provides a production environment for the control and tracking of high priority correspondence received in the Office of Public Inquiries (OPI).", + "distribution": null, + "identifier": "US-GOV-SSA-569", + "inventoried": "2016-06-24", + "isPartOf": null, + "issued": null, + "keyword": [ + "OPI", + "Office of Public Inquiries", + "correspondence", + "high priority correspondence" + ], + "landingPage": null, + "language": [ + "en" + ], + "license": "https://www.usa.gov/government-copyright", + "modified": "2026-09-22", + "primaryITInvestmentUII": null, + "programCode": [ + "016:000" + ], + "publisher": { + "@type": "Organization", + "name": "Social Security Administration" + }, + "references": null, + "rights": [ + "The publishing of the data asset cannot be done due to one or more of the following reasons: contains personal identifying information, contains federal tax information, contains sensitive information, or a data assessment has not been completed" + ], + "spatial": "[{\"@type\": \"Location\", \"prefLabel\": \"United States\"}]", + "systemOfRecords": null, + "temporal": null, + "theme": null, + "title": "Electronic Management of Assignments and Correspondence (EMAC 2)" + }, + "description": "Data store provides a production environment for the control and tracking of high priority correspondence received in the Office of Public Inquiries (OPI).", + "distribution_titles": [], + "harvest_record": "https://catalog.data.gov/harvest_record/542090b3-4abe-48d6-b3f5-91b8464b3ee9", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/542090b3-4abe-48d6-b3f5-91b8464b3ee9/raw", + "has_download": false, + "has_spatial": true, + "identifier": "US-GOV-SSA-569", + "keyword": [ + "OPI", + "Office of Public Inquiries", + "correspondence", + "high priority correspondence" + ], + "last_harvested_date": "2026-09-24T21:14:06.389874", + "organization": { + "aliases": null, + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "7ae8518f-b54f-439a-b63f-fe137bc6faf2", + "logo": "https://raw.githubusercontent.com/GSA/logo/master/ssa.png", + "name": "Social Security Administration", + "organization_type": "Federal Government", + "slug": "ssa" + }, + "parent_identifier": null, + "popularity": 1, + "publisher": "Social Security Administration", + "slug": "electronic-management-of-assignments-and-correspondence-emac-2", + "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": "Electronic Management of Assignments and Correspondence (EMAC 2)", + "type": "dataset" + }, + { + "_score": 23.390594, + "_sort": [ + 1790284439155, + 23.390594, + 1, + "796c98a0-6db0-49bc-bd44-9a1ac843b963" + ], + "dcat": { + "@type": "Dataset", + "accessLevel": "non-public", + "accessRights": "non-public", + "accrualPeriodicity": null, + "bureauCode": [ + "016:00" + ], + "contactPoint": { + "@type": "Kind", + "fn": "Open Data", + "hasEmail": "mailto:Open.Data@ssa.gov" + }, + "dataQuality": null, + "describedBy": null, + "description": "SSA's basic IT Service Management tool used to identify and track authorized changes to the Production IT environment; identify and track Incidents and Problems within that environment; support Service Desk interactions with internal users; as well as manage and track IT assets and configurable items within the Agency's CMDB. It runs on Hewlett Packard's Service Manager software.", + "distribution": null, + "identifier": "US-GOV-SSA-526", + "inventoried": "2016-06-24", + "isPartOf": null, + "issued": null, + "keyword": [ + "ITSM", + "change management", + "configuration management", + "incident management", + "problem management", + "production IT", + "request management" + ], + "landingPage": null, + "language": [ + "en" + ], + "license": "https://www.usa.gov/government-copyright", + "modified": "2026-09-22", + "primaryITInvestmentUII": null, + "programCode": [ + "016:000" + ], + "publisher": { + "@type": "Organization", + "name": "Social Security Administration" + }, + "references": null, + "rights": [ + "The publishing of the data asset cannot be done due to one or more of the following reasons: contains personal identifying information, contains federal tax information, contains sensitive information, or a data assessment has not been completed." + ], + "spatial": "[{\"@type\": \"Location\", \"prefLabel\": \"United States\"}]", + "systemOfRecords": null, + "temporal": null, + "theme": null, + "title": "Change Asset Problem Reporting System" + }, + "description": "SSA's basic IT Service Management tool used to identify and track authorized changes to the Production IT environment; identify and track Incidents and Problems within that environment; support Service Desk interactions with internal users; as well as manage and track IT assets and configurable items within the Agency's CMDB. It runs on Hewlett Packard's Service Manager software.", + "distribution_titles": [], + "harvest_record": "https://catalog.data.gov/harvest_record/13f74a17-68e7-4623-8391-993aac877204", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/13f74a17-68e7-4623-8391-993aac877204/raw", + "has_download": false, + "has_spatial": true, + "identifier": "US-GOV-SSA-526", + "keyword": [ + "ITSM", + "change management", + "configuration management", + "incident management", + "problem management", + "production IT", + "request management" + ], + "last_harvested_date": "2026-09-24T21:13:59.155898", + "organization": { + "aliases": null, + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "7ae8518f-b54f-439a-b63f-fe137bc6faf2", + "logo": "https://raw.githubusercontent.com/GSA/logo/master/ssa.png", + "name": "Social Security Administration", + "organization_type": "Federal Government", + "slug": "ssa" + }, + "parent_identifier": null, + "popularity": 1, + "publisher": "Social Security Administration", + "slug": "change-asset-problem-reporting-system", + "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": "Change Asset Problem Reporting System", + "type": "dataset" + }, + { + "_score": 21.697384, + "_sort": [ + 1790284389109, + 21.697384, + 3, + "c10e1d7d-6755-48f0-999c-900ef67ae896" + ], + "dcat": { + "@type": "Dataset", + "accessLevel": "non-public", + "accessRights": "non-public", + "accrualPeriodicity": null, + "bureauCode": [ + "016:00" + ], + "contactPoint": { + "@type": "Kind", + "fn": "Open Data", + "hasEmail": "mailto:Open.Data@ssa.gov" + }, + "dataQuality": null, + "describedBy": null, + "description": "Data store provides a production environment for the control and tracking of high priority correspondence received in the Office of Public Inquiries (OPI).", + "distribution": null, + "identifier": "US-GOV-SSA-236", + "inventoried": "2016-06-24", + "isPartOf": null, + "issued": null, + "keyword": [ + "OPI", + "Office of Public Inquiries", + "correspondence", + "high priority correspondence" + ], + "landingPage": null, + "language": [ + "en" + ], + "license": "https://www.usa.gov/government-copyright", + "modified": "2026-09-22", + "primaryITInvestmentUII": null, + "programCode": [ + "016:000" + ], + "publisher": { + "@type": "Organization", + "name": "Social Security Administration" + }, + "references": null, + "rights": [ + "The publishing of the data asset cannot be done due to one or more of the following reasons: contains personal identifying information, contains federal tax information, contains sensitive information, or a data assessment has not been completed." + ], + "spatial": "[{\"@type\": \"Location\", \"prefLabel\": \"United States\"}]", + "systemOfRecords": null, + "temporal": null, + "theme": null, + "title": "OPI Correspondence Control System" + }, + "description": "Data store provides a production environment for the control and tracking of high priority correspondence received in the Office of Public Inquiries (OPI).", + "distribution_titles": [], + "harvest_record": "https://catalog.data.gov/harvest_record/c2cbc4dd-6af5-4323-b620-e7ca45de0900", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/c2cbc4dd-6af5-4323-b620-e7ca45de0900/raw", + "has_download": false, + "has_spatial": true, + "identifier": "US-GOV-SSA-236", + "keyword": [ + "OPI", + "Office of Public Inquiries", + "correspondence", + "high priority correspondence" + ], + "last_harvested_date": "2026-09-24T21:13:09.109175", + "organization": { + "aliases": null, + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "7ae8518f-b54f-439a-b63f-fe137bc6faf2", + "logo": "https://raw.githubusercontent.com/GSA/logo/master/ssa.png", + "name": "Social Security Administration", + "organization_type": "Federal Government", + "slug": "ssa" + }, + "parent_identifier": null, + "popularity": 3, + "publisher": "Social Security Administration", + "slug": "opi-correspondence-control-system", + "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": "OPI Correspondence Control System", + "type": "dataset" + }, + { + "_score": 16.733477, + "_sort": [ + 1790284079124, + 16.733477, + 0, + "712987e1-bfba-467a-b7e7-ddec94a0b597" + ], + "dcat": { + "@type": "dcat:Dataset", + "accessLevel": "public", + "bureauCode": [ + "000:00" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "OpenTopography Support", + "hasEmail": "mailto:info@opentopography.org" + }, + "description": "Point cloud, DEM, and visual images of Sierra Negra Volcano (Isla Isabela, Galápagos Archipelago, Ecuador). Images taken on October 22, 2018. Coverage includes two vents from Fissure 1 of the June 26, 2018 eruption of Sierra Negra and lava flows sourced from these vents. Created using Agisoft Metashape (v.1.6.1). Images from DJI Zenmuse X4S camera on a DJI Matrice 210 UAS. This data is used in the manuscript Mapping and classification of volcanic deposits using multi-sensor Unoccupied Aerial Systems, currently under review at Remote Sensing of Environment.", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://doi.org/10.5069/G99Z932X", + "mediaType": "text/html", + "title": "OpenTopography Data Download Page" + } + ], + "identifier": "OTDS.092020.32715.1", + "keyword": [ + "Galápagos", + "Sierra Negra", + "UAS", + "community-dataspace", + "lava flow", + "structure-from-motion", + "volcano" + ], + "license": "https://creativecommons.org/licenses/by/4.0", + "modified": "2020-09-02", + "programCode": [ + "000:000" + ], + "publisher": { + "@type": "org:Organization", + "name": "OpenTopography" + }, + "spatial": "{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((-91.12 -0.79, -91.12 -0.78, -91.11 -0.78, -91.11 -0.79, -91.12 -0.79))\"}", + "title": "Sierra Negra Volcano (Visual): Galápagos, Ecuador, October 22 2018" + }, + "description": "Point cloud, DEM, and visual images of Sierra Negra Volcano (Isla Isabela, Galápagos Archipelago, Ecuador). Images taken on October 22, 2018. Coverage includes two vents from Fissure 1 of the June 26, 2018 eruption of Sierra Negra and lava flows sourced from these vents. Created using Agisoft Metashape (v.1.6.1). Images from DJI Zenmuse X4S camera on a DJI Matrice 210 UAS. This data is used in the manuscript Mapping and classification of volcanic deposits using multi-sensor Unoccupied Aerial Systems, currently under review at Remote Sensing of Environment.", + "distribution_titles": [ + "OpenTopography Data Download Page" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/f08998e3-ccd6-48f8-a71e-5d97008f47d4", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/f08998e3-ccd6-48f8-a71e-5d97008f47d4/raw", + "has_download": false, + "has_spatial": true, + "identifier": "OTDS.092020.32715.1", + "keyword": [ + "Galápagos", + "Sierra Negra", + "UAS", + "community-dataspace", + "lava flow", + "structure-from-motion", + "volcano" + ], + "last_harvested_date": "2026-09-24T21:07:59.124400", + "organization": { + "aliases": [ + "" + ], + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "a2ea361e-1350-4df1-8d61-4c326b3394ae", + "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png", + "name": "OpenTopography", + "organization_type": "University", + "slug": "opentopography" }, "parent_identifier": null, "popularity": 0, - "publisher": "City of Charlotte", - "slug": "fema-floodway-encroachment", + "publisher": "OpenTopography", + "slug": "sierra-negra-volcano-visual-galapagos-ecuador-october-22-2018-3b724", "spatial_centroid": { - "lat": 35.204179999999994, - "lon": -80.84418 + "lat": -0.786, + "lon": -91.11600000000001 }, "spatial_shape": { "coordinates": [ [ [ - -81.0285, - 34.9993 - ], - [ - -81.0285, - 35.5115 - ], - [ - -80.5677, - 35.5115 - ], - [ - -80.5677, - 34.9993 - ], - [ - -81.0285, - 34.9993 + -91.12, + -0.79 + ], + [ + -91.11, + -0.79 + ], + [ + -91.11, + -0.78 + ], + [ + -91.12, + -0.78 + ], + [ + -91.12, + -0.79 ] ] ], "type": "Polygon" }, - "theme": [ - "geospatial" - ], - "title": "FEMA Floodway Encroachment", + "theme": [], + "title": "Sierra Negra Volcano (Visual): Galápagos, Ecuador, October 22 2018", "type": "dataset" }, { - "_score": 9.57799, + "_score": 15.991313, "_sort": [ - 1790272209600, - 9.57799, + 1790284078987, + 15.991313, 0, - "318bf86a-0993-4cc2-ad74-83e45b001309" + "850a099a-b224-4697-8ffe-3ea2ec32a020" + ], + "dcat": { + "@type": "dcat:Dataset", + "accessLevel": "public", + "bureauCode": [ + "000:00" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "OpenTopography Support", + "hasEmail": "mailto:info@opentopography.org" + }, + "description": "Point cloud and temperature map of Sierra Negra Volcano (Isla Isabela, Galápagos Archipelago, Ecuador). Coverage includes two vents from Fissure 1 of the June 26, 2018 eruption of Sierra Negra and lava flows sourced from these vents. Point cloud created using Agisoft Metashape (v.1.6.1), temperature map created with additional processing in Matlab and ArcGIS. This data is used in the manuscript Mapping and classification of volcanic deposits using multi-sensor Unoccupied Aerial Systems, currently under review at Remote Sensing of Environment. Images taken on October 22, 2018 using a DJI Zenmuse XT thermal camera on a DJI Matrice 210 UAS. 474 total images (available upon request)", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://doi.org/10.5069/G9668BBH", + "mediaType": "text/html", + "title": "OpenTopography Data Download Page" + } + ], + "identifier": "OTDS.092020.32715.2", + "keyword": [ + "Galápagos", + "Sierra Negra", + "UAS", + "community-dataspace", + "lava flow", + "structure-from-motion", + "thermal images", + "volcano" + ], + "license": "https://creativecommons.org/licenses/by/4.0", + "modified": "2020-09-02", + "programCode": [ + "000:000" + ], + "publisher": { + "@type": "org:Organization", + "name": "OpenTopography" + }, + "spatial": "{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((-91.12 -0.79, -91.12 -0.78, -91.11 -0.78, -91.11 -0.79, -91.12 -0.79))\"}", + "title": "Sierra Negra Volcano (TIR Flight 1): Galápagos, Ecuador, October 22 2018" + }, + "description": "Point cloud and temperature map of Sierra Negra Volcano (Isla Isabela, Galápagos Archipelago, Ecuador). Coverage includes two vents from Fissure 1 of the June 26, 2018 eruption of Sierra Negra and lava flows sourced from these vents. Point cloud created using Agisoft Metashape (v.1.6.1), temperature map created with additional processing in Matlab and ArcGIS. This data is used in the manuscript Mapping and classification of volcanic deposits using multi-sensor Unoccupied Aerial Systems, currently under review at Remote Sensing of Environment. Images taken on October 22, 2018 using a DJI Zenmuse XT thermal camera on a DJI Matrice 210 UAS. 474 total images (available upon request)", + "distribution_titles": [ + "OpenTopography Data Download Page" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/109c093d-c28f-4605-a8c1-2d41b0841894", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/109c093d-c28f-4605-a8c1-2d41b0841894/raw", + "has_download": false, + "has_spatial": true, + "identifier": "OTDS.092020.32715.2", + "keyword": [ + "Galápagos", + "Sierra Negra", + "UAS", + "community-dataspace", + "lava flow", + "structure-from-motion", + "thermal images", + "volcano" + ], + "last_harvested_date": "2026-09-24T21:07:58.987955", + "organization": { + "aliases": [ + "" + ], + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "a2ea361e-1350-4df1-8d61-4c326b3394ae", + "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png", + "name": "OpenTopography", + "organization_type": "University", + "slug": "opentopography" + }, + "parent_identifier": null, + "popularity": 0, + "publisher": "OpenTopography", + "slug": "sierra-negra-volcano-tir-flight-1-galapagos-ecuador-october-22-2018-a4581", + "spatial_centroid": { + "lat": -0.786, + "lon": -91.11600000000001 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + -91.12, + -0.79 + ], + [ + -91.11, + -0.79 + ], + [ + -91.11, + -0.78 + ], + [ + -91.12, + -0.78 + ], + [ + -91.12, + -0.79 + ] + ] + ], + "type": "Polygon" + }, + "theme": [], + "title": "Sierra Negra Volcano (TIR Flight 1): Galápagos, Ecuador, October 22 2018", + "type": "dataset" + }, + { + "_score": 15.885375, + "_sort": [ + 1790284078846, + 15.885375, + 0, + "0b4aeb2c-9485-46d0-b353-6354da96df19" + ], + "dcat": { + "@type": "dcat:Dataset", + "accessLevel": "public", + "bureauCode": [ + "000:00" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "OpenTopography Support", + "hasEmail": "mailto:info@opentopography.org" + }, + "description": "Point cloud and temperature map of Sierra Negra Volcano (Isla Isabela, Galápagos Archipelago, Ecuador). Coverage includes two vents from Fissure 1 of the June 26, 2018 eruption of Sierra Negra and lava flows sourced from these vents. Point cloud created using Agisoft Metashape (v.1.6.1), temperature map created with additional processing in Matlab and ArcGIS. This data is used in the manuscript Mapping and classification of volcanic deposits using multi-sensor Unoccupied Aerial Systems, currently under review at Remote Sensing of Environment. Images taken on October 22, 2018 using a DJI Zenmuse XT thermal camera on a DJI Matrice 210 UAS. 490 total images (available upon request)", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://doi.org/10.5069/G92F7KMS", + "mediaType": "text/html", + "title": "OpenTopography Data Download Page" + } + ], + "identifier": "OTDS.092020.32715.3", + "keyword": [ + "Galápagos", + "Sierra Negra", + "UAS", + "community-dataspace", + "lava flow", + "structure-from-motion", + "thermal images", + "volcano" + ], + "license": "https://creativecommons.org/licenses/by/4.0", + "modified": "2020-09-02", + "programCode": [ + "000:000" + ], + "publisher": { + "@type": "org:Organization", + "name": "OpenTopography" + }, + "spatial": "{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((-91.12 -0.79, -91.12 -0.78, -91.11 -0.78, -91.11 -0.79, -91.12 -0.79))\"}", + "title": "Sierra Negra Volcano (TIR Flight 2): Galápagos, Ecuador, October 22 2018" + }, + "description": "Point cloud and temperature map of Sierra Negra Volcano (Isla Isabela, Galápagos Archipelago, Ecuador). Coverage includes two vents from Fissure 1 of the June 26, 2018 eruption of Sierra Negra and lava flows sourced from these vents. Point cloud created using Agisoft Metashape (v.1.6.1), temperature map created with additional processing in Matlab and ArcGIS. This data is used in the manuscript Mapping and classification of volcanic deposits using multi-sensor Unoccupied Aerial Systems, currently under review at Remote Sensing of Environment. Images taken on October 22, 2018 using a DJI Zenmuse XT thermal camera on a DJI Matrice 210 UAS. 490 total images (available upon request)", + "distribution_titles": [ + "OpenTopography Data Download Page" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/712cf2a8-5da3-4342-88bb-3b68621a3f0f", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/712cf2a8-5da3-4342-88bb-3b68621a3f0f/raw", + "has_download": false, + "has_spatial": true, + "identifier": "OTDS.092020.32715.3", + "keyword": [ + "Galápagos", + "Sierra Negra", + "UAS", + "community-dataspace", + "lava flow", + "structure-from-motion", + "thermal images", + "volcano" + ], + "last_harvested_date": "2026-09-24T21:07:58.846543", + "organization": { + "aliases": [ + "" + ], + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "a2ea361e-1350-4df1-8d61-4c326b3394ae", + "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png", + "name": "OpenTopography", + "organization_type": "University", + "slug": "opentopography" + }, + "parent_identifier": null, + "popularity": 0, + "publisher": "OpenTopography", + "slug": "sierra-negra-volcano-tir-flight-2-galapagos-ecuador-october-22-2018-b2387", + "spatial_centroid": { + "lat": -0.786, + "lon": -91.11600000000001 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + -91.12, + -0.79 + ], + [ + -91.11, + -0.79 + ], + [ + -91.11, + -0.78 + ], + [ + -91.12, + -0.78 + ], + [ + -91.12, + -0.79 + ] + ] + ], + "type": "Polygon" + }, + "theme": [], + "title": "Sierra Negra Volcano (TIR Flight 2): Galápagos, Ecuador, October 22 2018", + "type": "dataset" + }, + { + "_score": 15.688613, + "_sort": [ + 1790284078704, + 15.688613, + 0, + "53114c27-1256-4917-aa91-0066eaf20905" + ], + "dcat": { + "@type": "dcat:Dataset", + "accessLevel": "public", + "bureauCode": [ + "000:00" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "OpenTopography Support", + "hasEmail": "mailto:info@opentopography.org" + }, + "description": "Point cloud and temperature map of Sierra Negra Volcano (Isla Isabela, Galápagos Archipelago, Ecuador). Coverage includes two vents from Fissure 1 of the June 26, 2018 eruption of Sierra Negra and lava flows sourced from these vents. Point cloud created using Agisoft Metashape (v.1.6.1), temperature map created with additional processing in Matlab and ArcGIS. This data is used in the manuscript Mapping and classification of volcanic deposits using multi-sensor Unoccupied Aerial Systems, currently under review at Remote Sensing of Environment. Images taken on October 22, 2018 using a DJI Zenmuse XT thermal camera on a DJI Matrice 210 UAS. 443 total images (available upon request)", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://doi.org/10.5069/G957196P", + "mediaType": "text/html", + "title": "OpenTopography Data Download Page" + } + ], + "identifier": "OTDS.092020.32715.4", + "keyword": [ + "Galápagos", + "Sierra Negra", + "UAS", + "community-dataspace", + "lava flow", + "structure-from-motion", + "thermal images", + "volcano" + ], + "license": "https://creativecommons.org/licenses/by/4.0", + "modified": "2020-09-09", + "programCode": [ + "000:000" + ], + "publisher": { + "@type": "org:Organization", + "name": "OpenTopography" + }, + "spatial": "{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((-91.12 -0.79, -91.12 -0.78, -91.11 -0.78, -91.11 -0.79, -91.12 -0.79))\"}", + "title": "Sierra Negra Volcano (TIR Flight 3): Galápagos, Ecuador, October 22 2018" + }, + "description": "Point cloud and temperature map of Sierra Negra Volcano (Isla Isabela, Galápagos Archipelago, Ecuador). Coverage includes two vents from Fissure 1 of the June 26, 2018 eruption of Sierra Negra and lava flows sourced from these vents. Point cloud created using Agisoft Metashape (v.1.6.1), temperature map created with additional processing in Matlab and ArcGIS. This data is used in the manuscript Mapping and classification of volcanic deposits using multi-sensor Unoccupied Aerial Systems, currently under review at Remote Sensing of Environment. Images taken on October 22, 2018 using a DJI Zenmuse XT thermal camera on a DJI Matrice 210 UAS. 443 total images (available upon request)", + "distribution_titles": [ + "OpenTopography Data Download Page" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/4f062a23-3810-4743-ba17-2d6513d4fc34", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/4f062a23-3810-4743-ba17-2d6513d4fc34/raw", + "has_download": false, + "has_spatial": true, + "identifier": "OTDS.092020.32715.4", + "keyword": [ + "Galápagos", + "Sierra Negra", + "UAS", + "community-dataspace", + "lava flow", + "structure-from-motion", + "thermal images", + "volcano" + ], + "last_harvested_date": "2026-09-24T21:07:58.704951", + "organization": { + "aliases": [ + "" + ], + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "a2ea361e-1350-4df1-8d61-4c326b3394ae", + "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png", + "name": "OpenTopography", + "organization_type": "University", + "slug": "opentopography" + }, + "parent_identifier": null, + "popularity": 0, + "publisher": "OpenTopography", + "slug": "sierra-negra-volcano-tir-flight-3-galapagos-ecuador-october-22-2018-4e8f2", + "spatial_centroid": { + "lat": -0.786, + "lon": -91.11600000000001 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + -91.12, + -0.79 + ], + [ + -91.11, + -0.79 + ], + [ + -91.11, + -0.78 + ], + [ + -91.12, + -0.78 + ], + [ + -91.12, + -0.79 + ] + ] + ], + "type": "Polygon" + }, + "theme": [], + "title": "Sierra Negra Volcano (TIR Flight 3): Galápagos, Ecuador, October 22 2018", + "type": "dataset" + }, + { + "_score": 13.67226, + "_sort": [ + 1790284071791, + 13.67226, + 0, + "3d38979d-5395-457f-a77b-f1aba83cfa06" + ], + "dcat": { + "@type": "dcat:Dataset", + "accessLevel": "public", + "bureauCode": [ + "000:00" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "OpenTopography Support", + "hasEmail": "mailto:info@opentopography.org" + }, + "description": "Digital surface model of the Cumbre Vieja new volcano edifice and lava flows (La Palma, Spain) produced from 9970 UAS derived aerial photographs using the Structure-from-Motion method.\nThe 2021 eruption of Cumbre Vieja volcano is the largest eruptive event in recorded history for La Palma Island (Canary Island, Spain). Over almost 3 months (September 19 - December 13, 2021), the volcano produced profound morphological changes in the landscape affecting both the natural and the anthropic environment over an area of tens of km2. \nThe model shows numerous volcanic features including the new main edifice, lava flows, rafted material on lava flows, and tephra deposits. In addition, numerous fractures affecting the main edifice are evident.\nFor more details on this dataset, please see the citation:\nCivico, R., Ricci, T., Scarlato, P. et al. High-resolution Digital Surface Model of the 2021 eruption deposit of Cumbre Vieja volcano, La Palma, Spain. Sci Data 9, 435 (2022). https://doi.org/10.1038/s41597-022-01551-8.", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://doi.org/10.5069/G96971S8", + "mediaType": "text/html", + "title": "OpenTopography Data Download Page" + } + ], + "identifier": "OTDS.032022.4083.1", + "keyword": [ + "Canarias", + "Cumbre Vieja", + "Eruption", + "SfM", + "Spain", + "Structure from Motion", + "UAS", + "Volcano", + "community-dataspace" + ], + "license": "https://creativecommons.org/licenses/by/4.0", + "modified": "2022-03-30", + "programCode": [ + "000:000" + ], + "publisher": { + "@type": "org:Organization", + "name": "OpenTopography" + }, + "spatial": "{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((-17.93 28.60, -17.93 28.63, -17.86 28.63, -17.86 28.60, -17.93 28.60))\"}", + "title": "2021 Cumbre Vieja volcano eruption (La Palma, Spain) SfM DSM, Jan 2022" + }, + "description": "Digital surface model of the Cumbre Vieja new volcano edifice and lava flows (La Palma, Spain) produced from 9970 UAS derived aerial photographs using the Structure-from-Motion method.\nThe 2021 eruption of Cumbre Vieja volcano is the largest eruptive event in recorded history for La Palma Island (Canary Island, Spain). Over almost 3 months (September 19 - December 13, 2021), the volcano produced profound morphological changes in the landscape affecting both the natural and the anthropic environment over an area of tens of km2. \nThe model shows numerous volcanic features including the new main edifice, lava flows, rafted material on lava flows, and tephra deposits. In addition, numerous fractures affecting the main edifice are evident.\nFor more details on this dataset, please see the citation:\nCivico, R., Ricci, T., Scarlato, P. et al. High-resolution Digital Surface Model of the 2021 eruption deposit of Cumbre Vieja volcano, La Palma, Spain. Sci Data 9, 435 (2022). https://doi.org/10.1038/s41597-022-01551-8.", + "distribution_titles": [ + "OpenTopography Data Download Page" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/3fcf839f-d379-438d-87b6-dd53670c5dc0", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/3fcf839f-d379-438d-87b6-dd53670c5dc0/raw", + "has_download": false, + "has_spatial": true, + "identifier": "OTDS.032022.4083.1", + "keyword": [ + "Canarias", + "Cumbre Vieja", + "Eruption", + "SfM", + "Spain", + "Structure from Motion", + "UAS", + "Volcano", + "community-dataspace" + ], + "last_harvested_date": "2026-09-24T21:07:51.791225", + "organization": { + "aliases": [ + "" + ], + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "a2ea361e-1350-4df1-8d61-4c326b3394ae", + "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png", + "name": "OpenTopography", + "organization_type": "University", + "slug": "opentopography" + }, + "parent_identifier": null, + "popularity": 0, + "publisher": "OpenTopography", + "slug": "2021-cumbre-vieja-volcano-eruption-la-palma-spain-sfm-dsm-jan-2022-6b180", + "spatial_centroid": { + "lat": 28.612000000000002, + "lon": -17.901999999999997 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + -17.93, + 28.6 + ], + [ + -17.86, + 28.6 + ], + [ + -17.86, + 28.63 + ], + [ + -17.93, + 28.63 + ], + [ + -17.93, + 28.6 + ] + ] + ], + "type": "Polygon" + }, + "theme": [], + "title": "2021 Cumbre Vieja volcano eruption (La Palma, Spain) SfM DSM, Jan 2022", + "type": "dataset" + }, + { + "_score": 15.991313, + "_sort": [ + 1790284070457, + 15.991313, + 0, + "c167d078-5151-42a3-b698-499d0e48960b" + ], + "dcat": { + "@type": "dcat:Dataset", + "accessLevel": "public", + "bureauCode": [ + "000:00" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "OpenTopography Support", + "hasEmail": "mailto:info@opentopography.org" + }, + "description": "Digital surface model of the Cumbre Vieja new volcano edifice and lava flows (La Palma, Spain) as of 27 September 2021, produced from 915 UAS derived aerial photographs using the Structure-from-Motion method. The 2021 eruption of Cumbre Vieja volcano is the largest eruptive event in recorded history for La Palma Island (Canary Island, Spain). Over almost 3 months (September 19 - December 13, 2021), the volcano produced profound morphological changes in the landscape affecting both the natural and the anthropic environment over an area of tens of km2. The model shows numerous volcanic features including the new main edifice, lava flows, rafted material on lava flows, and tephra deposits.", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://doi.org/10.5069/G9R49P0T", + "mediaType": "text/html", + "title": "OpenTopography Data Download Page" + } + ], + "identifier": "OTDS.062022.4083.1", + "keyword": [ + "Canarias", + "Cumbre Vieja", + "Eruption", + "SfM", + "Spain", + "Structure from Motion", + "UAS", + "Volcano", + "community-dataspace" + ], + "license": "https://creativecommons.org/licenses/by/4.0", + "modified": "2022-06-22", + "programCode": [ + "000:000" + ], + "publisher": { + "@type": "org:Organization", + "name": "OpenTopography" + }, + "spatial": "{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((-17.91 28.61, -17.91 28.62, -17.86 28.62, -17.86 28.61, -17.91 28.61))\"}", + "title": "2021 Cumbre Vieja volcano eruption (La Palma, Spain) SfM DSM, Sep 2021" + }, + "description": "Digital surface model of the Cumbre Vieja new volcano edifice and lava flows (La Palma, Spain) as of 27 September 2021, produced from 915 UAS derived aerial photographs using the Structure-from-Motion method. The 2021 eruption of Cumbre Vieja volcano is the largest eruptive event in recorded history for La Palma Island (Canary Island, Spain). Over almost 3 months (September 19 - December 13, 2021), the volcano produced profound morphological changes in the landscape affecting both the natural and the anthropic environment over an area of tens of km2. The model shows numerous volcanic features including the new main edifice, lava flows, rafted material on lava flows, and tephra deposits.", + "distribution_titles": [ + "OpenTopography Data Download Page" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/f3bcca53-754d-49a4-9959-93c6d669ec0d", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/f3bcca53-754d-49a4-9959-93c6d669ec0d/raw", + "has_download": false, + "has_spatial": true, + "identifier": "OTDS.062022.4083.1", + "keyword": [ + "Canarias", + "Cumbre Vieja", + "Eruption", + "SfM", + "Spain", + "Structure from Motion", + "UAS", + "Volcano", + "community-dataspace" + ], + "last_harvested_date": "2026-09-24T21:07:50.457732", + "organization": { + "aliases": [ + "" + ], + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "a2ea361e-1350-4df1-8d61-4c326b3394ae", + "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png", + "name": "OpenTopography", + "organization_type": "University", + "slug": "opentopography" + }, + "parent_identifier": null, + "popularity": 0, + "publisher": "OpenTopography", + "slug": "2021-cumbre-vieja-volcano-eruption-la-palma-spain-sfm-dsm-sep-2021-9d214", + "spatial_centroid": { + "lat": 28.613999999999997, + "lon": -17.89 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + -17.91, + 28.61 + ], + [ + -17.86, + 28.61 + ], + [ + -17.86, + 28.62 + ], + [ + -17.91, + 28.62 + ], + [ + -17.91, + 28.61 + ] + ] + ], + "type": "Polygon" + }, + "theme": [], + "title": "2021 Cumbre Vieja volcano eruption (La Palma, Spain) SfM DSM, Sep 2021", + "type": "dataset" + }, + { + "_score": 15.447473, + "_sort": [ + 1790284052441, + 15.447473, + 0, + "f6da7f84-f594-4f0b-aa5e-6aac61012720" + ], + "dcat": { + "@type": "dcat:Dataset", + "accessLevel": "public", + "bureauCode": [ + "000:00" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "OpenTopography Support", + "hasEmail": "mailto:info@opentopography.org" + }, + "description": "This dataset contains a 100 km long section of the East Helanshan Fault on the western side of the Yinchuan Graben in northern China. This fault was the site of the devastating 1739 Yinchuan earthquake. Surface fault scarps are visible in the point cloud for much of the fault length. The point cloud data were constructed via photogrammetric methods from data acquired by Airbus Defence and Space (Pleiades 1A) and funded by the Natural Environment Research Council (NERC), UK. For further details see: Middleton, T. A., R. T. Walker, B. Parsons, Q. Lei, Y. Zhou, and Z. Ren (2016), A major, intraplate, normal-faulting earthquake: The 1739 Yinchuan event in northern China, J. Geophys. Res. Solid Earth, 121, 293-320, doi: 10.1002/2015JB012355.", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://doi.org/10.5069/G9QJ7F8K", + "mediaType": "text/html", + "title": "OpenTopography Data Download Page" + } + ], + "identifier": "OT.062016.32648.1", + "keyword": [ + "China", + "East Helanshan Fault", + "Yinchuan Graben", + "Yinchuan basin", + "intraplate fault", + "lidar" + ], + "license": "https://creativecommons.org/licenses/by/4.0", + "modified": "2016-07-04", + "programCode": [ + "000:000" + ], + "publisher": { + "@type": "org:Organization", + "name": "OpenTopography" + }, + "spatial": "{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((105.94 38.61, 105.94 39.29, 106.70 39.29, 106.70 38.61, 105.94 38.61))\"}", + "title": "East Helanshan Fault, northern China" + }, + "description": "This dataset contains a 100 km long section of the East Helanshan Fault on the western side of the Yinchuan Graben in northern China. This fault was the site of the devastating 1739 Yinchuan earthquake. Surface fault scarps are visible in the point cloud for much of the fault length. The point cloud data were constructed via photogrammetric methods from data acquired by Airbus Defence and Space (Pleiades 1A) and funded by the Natural Environment Research Council (NERC), UK. For further details see: Middleton, T. A., R. T. Walker, B. Parsons, Q. Lei, Y. Zhou, and Z. Ren (2016), A major, intraplate, normal-faulting earthquake: The 1739 Yinchuan event in northern China, J. Geophys. Res. Solid Earth, 121, 293-320, doi: 10.1002/2015JB012355.", + "distribution_titles": [ + "OpenTopography Data Download Page" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/e35ed4cf-b886-4987-8706-3e0b412d6c17", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/e35ed4cf-b886-4987-8706-3e0b412d6c17/raw", + "has_download": false, + "has_spatial": true, + "identifier": "OT.062016.32648.1", + "keyword": [ + "China", + "East Helanshan Fault", + "Yinchuan Graben", + "Yinchuan basin", + "intraplate fault", + "lidar" + ], + "last_harvested_date": "2026-09-24T21:07:32.441889", + "organization": { + "aliases": [ + "" + ], + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "a2ea361e-1350-4df1-8d61-4c326b3394ae", + "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png", + "name": "OpenTopography", + "organization_type": "University", + "slug": "opentopography" + }, + "parent_identifier": null, + "popularity": 0, + "publisher": "OpenTopography", + "slug": "east-helanshan-fault-northern-china-faa43", + "spatial_centroid": { + "lat": 38.882, + "lon": 106.244 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + 105.94, + 38.61 + ], + [ + 106.7, + 38.61 + ], + [ + 106.7, + 39.29 + ], + [ + 105.94, + 39.29 + ], + [ + 105.94, + 38.61 + ] + ] + ], + "type": "Polygon" + }, + "theme": [], + "title": "East Helanshan Fault, northern China", + "type": "dataset" + }, + { + "_score": 13.041946, + "_sort": [ + 1790284052295, + 13.041946, + 0, + "fc28771a-31ae-40ab-99d6-f1f18f1f97e7" + ], + "dcat": { + "@type": "dcat:Dataset", + "accessLevel": "public", + "bureauCode": [ + "000:00" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "OpenTopography Support", + "hasEmail": "mailto:info@opentopography.org" + }, + "description": "Point cloud data (in 2 sections) from 2 tri-stereo data sets of 0.5 m resolution, panchromatic Pleiades 1B images acquired by Airbus on 17 March 2014 and funded by the Natural Environment Research Council (NERC), UK through the Looking inside the Continents from Space (LiCS) large grant (NE/K011006/1). The images were processed using the LPS module of the ERDAS Imagine 2013 software (version 13.00.00, Build 281). A pixel-by-pixel matching procedure was implemented with a window size of 5-by-5 pixels and a correlation coefficient of 0.3 to 0.7. The point cloud covers an approximately 45 km long section of the epicentral area of the 2010 El Mayor-Cucapah earthquake in Mexico. Vertical displacements were determined by differencing the Pleiades topography and the pre-earthquake LiDAR DEM. For further details see: Zhou, Y., B. Parsons, J. R. Elliott, I. Barisin, and R. T. Walker (2015), Assessing the ability of Pleiades stereo imagery to determine height changes in earthquakes: A case study for the El Mayor-Cucapah epicentral area, J. Geophys. Res. Solid Earth, 120, 8793â8808, doi:10.1002/2015JB012358.", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://doi.org/10.5069/G92V2D1B", + "mediaType": "text/html", + "title": "OpenTopography Data Download Page" + } + ], + "identifier": "OT.082016.32611.1", + "keyword": [ + "NERC", + "VHR", + "earthquake", + "lidar", + "pleiades", + "rupture", + "satellite photogrammetry" + ], + "license": "https://creativecommons.org/licenses/by/4.0", + "modified": "2016-08-23", + "programCode": [ + "000:000" + ], + "publisher": { + "@type": "org:Organization", + "name": "OpenTopography" + }, + "spatial": "{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((-115.73 32.25, -115.73 32.56, -115.32 32.56, -115.32 32.25, -115.73 32.25))\"}", + "title": "El Mayor-Cucapah Earthquake, Pleiades 2014" + }, + "description": "Point cloud data (in 2 sections) from 2 tri-stereo data sets of 0.5 m resolution, panchromatic Pleiades 1B images acquired by Airbus on 17 March 2014 and funded by the Natural Environment Research Council (NERC), UK through the Looking inside the Continents from Space (LiCS) large grant (NE/K011006/1). The images were processed using the LPS module of the ERDAS Imagine 2013 software (version 13.00.00, Build 281). A pixel-by-pixel matching procedure was implemented with a window size of 5-by-5 pixels and a correlation coefficient of 0.3 to 0.7. The point cloud covers an approximately 45 km long section of the epicentral area of the 2010 El Mayor-Cucapah earthquake in Mexico. Vertical displacements were determined by differencing the Pleiades topography and the pre-earthquake LiDAR DEM. For further details see: Zhou, Y., B. Parsons, J. R. Elliott, I. Barisin, and R. T. Walker (2015), Assessing the ability of Pleiades stereo imagery to determine height changes in earthquakes: A case study for the El Mayor-Cucapah epicentral area, J. Geophys. Res. Solid Earth, 120, 8793â8808, doi:10.1002/2015JB012358.", + "distribution_titles": [ + "OpenTopography Data Download Page" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/d5c53a9e-7fbc-4961-a952-cfdff77eb644", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/d5c53a9e-7fbc-4961-a952-cfdff77eb644/raw", + "has_download": false, + "has_spatial": true, + "identifier": "OT.082016.32611.1", + "keyword": [ + "NERC", + "VHR", + "earthquake", + "lidar", + "pleiades", + "rupture", + "satellite photogrammetry" + ], + "last_harvested_date": "2026-09-24T21:07:32.295385", + "organization": { + "aliases": [ + "" + ], + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "a2ea361e-1350-4df1-8d61-4c326b3394ae", + "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png", + "name": "OpenTopography", + "organization_type": "University", + "slug": "opentopography" + }, + "parent_identifier": null, + "popularity": 0, + "publisher": "OpenTopography", + "slug": "el-mayor-cucapah-earthquake-pleiades-2014-dfd16", + "spatial_centroid": { + "lat": 32.374, + "lon": -115.566 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + -115.73, + 32.25 + ], + [ + -115.32, + 32.25 + ], + [ + -115.32, + 32.56 + ], + [ + -115.73, + 32.56 + ], + [ + -115.73, + 32.25 + ] + ] + ], + "type": "Polygon" + }, + "theme": [], + "title": "El Mayor-Cucapah Earthquake, Pleiades 2014", + "type": "dataset" + }, + { + "_score": 13.96431, + "_sort": [ + 1790284025472, + 13.96431, + 0, + "804ca6c3-90df-4408-ab7b-080df1202f52" + ], + "dcat": { + "@type": "dcat:Dataset", + "accessLevel": "public", + "bureauCode": [ + "000:00" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "OpenTopography Support", + "hasEmail": "mailto:info@opentopography.org" + }, + "description": "The Utah Geological Survey (UGS) as part of its mission to provide timely scientific information about Utah's geologic environment, resources, and hazards, acquires Lidar data with its partners in support of various geologic mapping and research projects. In 2011, the UGS and partners acquired approximately 4927 square kilometers of 1 meter Lidar data over the Cedar/Parowan Valley, Great Salt Lake shoreline/wetlands, Hurricane fault zone, Lowry Water, Ogden Valley, and North Ogden areas of Utah. The datasets include raw LAS, LAS, DEM, DSM, and metadata (includes XML metadata, project tile indexes, and area completion reports) files. The datasets acquired by the UGS and its partners are in the public domain and can be freely distributed with proper credit to the UGS and its partners. These datasets were funded by the Utah Geological Survey, with the exception of the Great Salt Lake area, which was funded by the U.S. Environmental Protection Agency (grant no. CD-96811101-0) and the UGS, and the North Ogden area, which was funded by the Utah Division of Emergency Management, Floodplain Management Program.", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://doi.org/10.5069/G90C4SPQ", + "mediaType": "text/html", + "title": "OpenTopography Data Download Page" + } + ], + "identifier": "OT.042013.26912.1", + "keyword": [ + "Box Elder", + "Cache", + "Davis", + "Emery", + "Iron", + "Salt Lake", + "Sanpete", + "Tooele", + "Utah", + "Washington", + "Weber", + "lidar" + ], + "license": "https://creativecommons.org/licenses/by/4.0", + "modified": "2013-05-09", + "programCode": [ + "000:000" + ], + "publisher": { + "@type": "org:Organization", + "name": "OpenTopography" + }, + "spatial": "{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((-113.32 36.99, -113.32 41.84, -111.24 41.84, -111.24 36.99, -113.32 36.99))\"}", + "title": "Utah Geological Survey Lidar" + }, + "description": "The Utah Geological Survey (UGS) as part of its mission to provide timely scientific information about Utah's geologic environment, resources, and hazards, acquires Lidar data with its partners in support of various geologic mapping and research projects. In 2011, the UGS and partners acquired approximately 4927 square kilometers of 1 meter Lidar data over the Cedar/Parowan Valley, Great Salt Lake shoreline/wetlands, Hurricane fault zone, Lowry Water, Ogden Valley, and North Ogden areas of Utah. The datasets include raw LAS, LAS, DEM, DSM, and metadata (includes XML metadata, project tile indexes, and area completion reports) files. The datasets acquired by the UGS and its partners are in the public domain and can be freely distributed with proper credit to the UGS and its partners. These datasets were funded by the Utah Geological Survey, with the exception of the Great Salt Lake area, which was funded by the U.S. Environmental Protection Agency (grant no. CD-96811101-0) and the UGS, and the North Ogden area, which was funded by the Utah Division of Emergency Management, Floodplain Management Program.", + "distribution_titles": [ + "OpenTopography Data Download Page" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/ea1c19d2-5fe1-42fc-8176-545bfb171410", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/ea1c19d2-5fe1-42fc-8176-545bfb171410/raw", + "has_download": false, + "has_spatial": true, + "identifier": "OT.042013.26912.1", + "keyword": [ + "Box Elder", + "Cache", + "Davis", + "Emery", + "Iron", + "Salt Lake", + "Sanpete", + "Tooele", + "Utah", + "Washington", + "Weber", + "lidar" + ], + "last_harvested_date": "2026-09-24T21:07:05.472196", + "organization": { + "aliases": [ + "" + ], + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "a2ea361e-1350-4df1-8d61-4c326b3394ae", + "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png", + "name": "OpenTopography", + "organization_type": "University", + "slug": "opentopography" + }, + "parent_identifier": null, + "popularity": 0, + "publisher": "OpenTopography", + "slug": "utah-geological-survey-lidar-83c59", + "spatial_centroid": { + "lat": 38.93, + "lon": -112.48799999999999 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + -113.32, + 36.99 + ], + [ + -111.24, + 36.99 + ], + [ + -111.24, + 41.84 + ], + [ + -113.32, + 41.84 + ], + [ + -113.32, + 36.99 + ] + ] + ], + "type": "Polygon" + }, + "theme": [], + "title": "Utah Geological Survey Lidar", + "type": "dataset" + }, + { + "_score": 16.733477, + "_sort": [ + 1790284016362, + 16.733477, + 0, + "abb66818-8ab4-4ba4-9cb8-028e9a48cb5a" + ], + "dcat": { + "@type": "dcat:Dataset", + "accessLevel": "public", + "bureauCode": [ + "000:00" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "OpenTopography Support", + "hasEmail": "mailto:info@opentopography.org" + }, + "description": "Lidar was captured for Environment Canterbury Regional Council by Aerial Surveys in 2012. Note that this capture was prior to the significant vertical and horizontal displacements from the 2016 Kaikoura earthquakes. The datasets were generated by Aerial Surveys and their subcontractors. The survey area includes the Kaikoura township area and adjacent coastal strips. Data management and distribution is by Land Information New Zealand. Prepared DEM and DSM files are available through the LINZ Data Service https://data.linz.govt.nz/layer/3542-canterbury-kaikoura-lidar-1m-dem-2012/ https://data.linz.govt.nz/layer/3545-canterbury-kaikoura-lidar-1m-dsm-2012/", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://doi.org/10.5069/G98C9T67", + "mediaType": "text/html", + "title": "OpenTopography Data Download Page" + } + ], + "identifier": "OT.122016.2193.1", + "keyword": [ + "aerial surveys", + "kaikoura", + "lidar", + "linz", + "new zealand", + "south island" + ], + "license": "https://creativecommons.org/licenses/by/4.0", + "modified": "2016-12-08", + "programCode": [ + "000:000" + ], + "publisher": { + "@type": "org:Organization", + "name": "OpenTopography" + }, + "spatial": "{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((173.26 -42.92, 173.26 -41.95, 174.07 -41.95, 174.07 -42.92, 173.26 -42.92))\"}", + "title": "Kaikoura, Canterbury, New Zealand 2012" + }, + "description": "Lidar was captured for Environment Canterbury Regional Council by Aerial Surveys in 2012. Note that this capture was prior to the significant vertical and horizontal displacements from the 2016 Kaikoura earthquakes. The datasets were generated by Aerial Surveys and their subcontractors. The survey area includes the Kaikoura township area and adjacent coastal strips. Data management and distribution is by Land Information New Zealand. Prepared DEM and DSM files are available through the LINZ Data Service https://data.linz.govt.nz/layer/3542-canterbury-kaikoura-lidar-1m-dem-2012/ https://data.linz.govt.nz/layer/3545-canterbury-kaikoura-lidar-1m-dsm-2012/", + "distribution_titles": [ + "OpenTopography Data Download Page" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/1e26eb9b-98a8-4c15-a78f-9b9aee3d1480", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/1e26eb9b-98a8-4c15-a78f-9b9aee3d1480/raw", + "has_download": false, + "has_spatial": true, + "identifier": "OT.122016.2193.1", + "keyword": [ + "aerial surveys", + "kaikoura", + "lidar", + "linz", + "new zealand", + "south island" + ], + "last_harvested_date": "2026-09-24T21:06:56.362099", + "organization": { + "aliases": [ + "" + ], + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "a2ea361e-1350-4df1-8d61-4c326b3394ae", + "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png", + "name": "OpenTopography", + "organization_type": "University", + "slug": "opentopography" + }, + "parent_identifier": null, + "popularity": 0, + "publisher": "OpenTopography", + "slug": "kaikoura-canterbury-new-zealand-2012-f0c2c", + "spatial_centroid": { + "lat": -42.532000000000004, + "lon": 173.584 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + 173.26, + -42.92 + ], + [ + 174.07, + -42.92 + ], + [ + 174.07, + -41.95 + ], + [ + 173.26, + -41.95 + ], + [ + 173.26, + -42.92 + ] + ] + ], + "type": "Polygon" + }, + "theme": [], + "title": "Kaikoura, Canterbury, New Zealand 2012", + "type": "dataset" + }, + { + "_score": 16.733477, + "_sort": [ + 1790284016228, + 16.733477, + 0, + "34bb7779-b2bb-4882-beff-9b3bdabd3426" + ], + "dcat": { + "@type": "dcat:Dataset", + "accessLevel": "public", + "bureauCode": [ + "000:00" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "OpenTopography Support", + "hasEmail": "mailto:info@opentopography.org" + }, + "description": "Lidar was captured for Environment Canterbury Regional Council by Aerial Surveys in July 2012, under survey name Hurunui AB. The datasets were generated by Aerial Surveys and their subcontractors. The survey area includes the Amberley and Waipara township areas and adjacent coastal strips and river corridors. Data management and distribution is by Land Information New Zealand. Prepared DEM and DSM files are available through the LINZ Data Service https://data.linz.govt.nz/layer/3546-canterbury-amberley-lidar-1m-dem-2012/ https://data.linz.govt.nz/layer/3547-canterbury-amberley-lidar-1m-dsm-2012/", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://doi.org/10.5069/G9GX48H4", + "mediaType": "text/html", + "title": "OpenTopography Data Download Page" + } + ], + "identifier": "OT.122016.2193.3", + "keyword": [ + "Amberley", + "Canterbury", + "aerial surveys", + "lidar", + "linz", + "new zealand", + "south island", + "waipara" + ], + "license": "https://creativecommons.org/licenses/by/4.0", + "modified": "2017-01-11", + "programCode": [ + "000:000" + ], + "publisher": { + "@type": "org:Organization", + "name": "OpenTopography" + }, + "spatial": "{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((172.62 -43.25, 172.62 -43.05, 172.82 -43.05, 172.82 -43.25, 172.62 -43.25))\"}", + "title": "Amberley, Canterbury, New Zealand 2012" + }, + "description": "Lidar was captured for Environment Canterbury Regional Council by Aerial Surveys in July 2012, under survey name Hurunui AB. The datasets were generated by Aerial Surveys and their subcontractors. The survey area includes the Amberley and Waipara township areas and adjacent coastal strips and river corridors. Data management and distribution is by Land Information New Zealand. Prepared DEM and DSM files are available through the LINZ Data Service https://data.linz.govt.nz/layer/3546-canterbury-amberley-lidar-1m-dem-2012/ https://data.linz.govt.nz/layer/3547-canterbury-amberley-lidar-1m-dsm-2012/", + "distribution_titles": [ + "OpenTopography Data Download Page" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/72e52cf7-9d18-467c-943f-962a1008b553", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/72e52cf7-9d18-467c-943f-962a1008b553/raw", + "has_download": false, + "has_spatial": true, + "identifier": "OT.122016.2193.3", + "keyword": [ + "Amberley", + "Canterbury", + "aerial surveys", + "lidar", + "linz", + "new zealand", + "south island", + "waipara" + ], + "last_harvested_date": "2026-09-24T21:06:56.228930", + "organization": { + "aliases": [ + "" + ], + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "a2ea361e-1350-4df1-8d61-4c326b3394ae", + "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png", + "name": "OpenTopography", + "organization_type": "University", + "slug": "opentopography" + }, + "parent_identifier": null, + "popularity": 0, + "publisher": "OpenTopography", + "slug": "amberley-canterbury-new-zealand-2012-c3431", + "spatial_centroid": { + "lat": -43.17, + "lon": 172.7 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + 172.62, + -43.25 + ], + [ + 172.82, + -43.25 + ], + [ + 172.82, + -43.05 + ], + [ + 172.62, + -43.05 + ], + [ + 172.62, + -43.25 + ] + ] + ], + "type": "Polygon" + }, + "theme": [], + "title": "Amberley, Canterbury, New Zealand 2012", + "type": "dataset" + }, + { + "_score": 15.91218, + "_sort": [ + 1790284015946, + 15.91218, + 0, + "ec179a01-003b-40e6-b022-5c6bff42eff3" + ], + "dcat": { + "@type": "dcat:Dataset", + "accessLevel": "public", + "bureauCode": [ + "000:00" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "OpenTopography Support", + "hasEmail": "mailto:info@opentopography.org" + }, + "description": "Lidar was captured for Environment Canterbury Regional Council by Aerial Surveys on 1 April 2015, under survey name Hurunui. The datasets were generated by Aerial Surveys and their subcontractors. The survey area includes the Cheviot and Hawarden township areas. Data management and distribution is by Land Information New Zealand. Prepared DEM and DSM files are available through the LINZ Data Service https://data.linz.govt.nz/layer/3548-canterbury-cheviot-lidar-1m-dem-2015/ https://data.linz.govt.nz/layer/3549-canterbury-cheviot-lidar-1m-dsm-2015/ https://data.linz.govt.nz/layer/3550-canterbury-hawarden-lidar-1m-dem-2015/ https://data.linz.govt.nz/layer/3551-canterbury-hawarden-lidar-1m-dsm-2015/", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://doi.org/10.5069/G9C53HSQ", + "mediaType": "text/html", + "title": "OpenTopography Data Download Page" + } + ], + "identifier": "OT.122016.2193.5", + "keyword": [ + "Canterbury", + "Cheviot", + "Hawarden", + "aerial surveys", + "hurunui", + "lidar", + "linz", + "new zealand", + "south island" + ], + "license": "https://creativecommons.org/licenses/by/4.0", + "modified": "2017-01-11", + "programCode": [ + "000:000" + ], + "publisher": { + "@type": "org:Organization", + "name": "OpenTopography" + }, + "spatial": "{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((172.63 -42.97, 172.63 -42.78, 173.31 -42.78, 173.31 -42.97, 172.63 -42.97))\"}", + "title": "Cheviot and Hawarden, Canterbury, New Zealand 2015" + }, + "description": "Lidar was captured for Environment Canterbury Regional Council by Aerial Surveys on 1 April 2015, under survey name Hurunui. The datasets were generated by Aerial Surveys and their subcontractors. The survey area includes the Cheviot and Hawarden township areas. Data management and distribution is by Land Information New Zealand. Prepared DEM and DSM files are available through the LINZ Data Service https://data.linz.govt.nz/layer/3548-canterbury-cheviot-lidar-1m-dem-2015/ https://data.linz.govt.nz/layer/3549-canterbury-cheviot-lidar-1m-dsm-2015/ https://data.linz.govt.nz/layer/3550-canterbury-hawarden-lidar-1m-dem-2015/ https://data.linz.govt.nz/layer/3551-canterbury-hawarden-lidar-1m-dsm-2015/", + "distribution_titles": [ + "OpenTopography Data Download Page" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/c60ef4eb-98b7-42a5-bfd4-48019d5e9296", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/c60ef4eb-98b7-42a5-bfd4-48019d5e9296/raw", + "has_download": false, + "has_spatial": true, + "identifier": "OT.122016.2193.5", + "keyword": [ + "Canterbury", + "Cheviot", + "Hawarden", + "aerial surveys", + "hurunui", + "lidar", + "linz", + "new zealand", + "south island" + ], + "last_harvested_date": "2026-09-24T21:06:55.946716", + "organization": { + "aliases": [ + "" + ], + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "a2ea361e-1350-4df1-8d61-4c326b3394ae", + "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png", + "name": "OpenTopography", + "organization_type": "University", + "slug": "opentopography" + }, + "parent_identifier": null, + "popularity": 0, + "publisher": "OpenTopography", + "slug": "cheviot-and-hawarden-canterbury-new-zealand-2015-23a33", + "spatial_centroid": { + "lat": -42.894, + "lon": 172.902 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + 172.63, + -42.97 + ], + [ + 173.31, + -42.97 + ], + [ + 173.31, + -42.78 + ], + [ + 172.63, + -42.78 + ], + [ + 172.63, + -42.97 + ] + ] + ], + "type": "Polygon" + }, + "theme": [], + "title": "Cheviot and Hawarden, Canterbury, New Zealand 2015", + "type": "dataset" + }, + { + "_score": 17.06733, + "_sort": [ + 1790284015799, + 17.06733, + 0, + "6e6b77be-b080-4d34-b639-600edc3131f0" + ], + "dcat": { + "@type": "dcat:Dataset", + "accessLevel": "public", + "bureauCode": [ + "000:00" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "OpenTopography Support", + "hasEmail": "mailto:info@opentopography.org" + }, + "description": "Lidar was captured for Waimakariri District Council and Environment Canterbury Regional Council by Aerial Surveys in March - June 2014. The datasets were generated by Aerial Surveys and their subcontractors. The survey area includes the Rangiora township area and the lower Ashley, Eyre, and Waimakariri river channels. Data management and distribution is by Land Information New Zealand. Prepared DEM and DSM files are available through the LINZ Data Service https://data.linz.govt.nz/layer/3552-canterbury-rangiora-lidar-1m-dem-2014/ https://data.linz.govt.nz/layer/3553-canterbury-rangiora-lidar-1m-dsm-2014/", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://doi.org/10.5069/G97D2S3V", + "mediaType": "text/html", + "title": "OpenTopography Data Download Page" + } + ], + "identifier": "OT.122016.2193.6", + "keyword": [ + "Rangiora", + "aerial surveys", + "canterbury", + "lidar", + "linz", + "new zealand", + "south island", + "waimakariri" + ], + "license": "https://creativecommons.org/licenses/by/4.0", + "modified": "2017-01-12", + "programCode": [ + "000:000" + ], + "publisher": { + "@type": "org:Organization", + "name": "OpenTopography" + }, + "spatial": "{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((172.15 -43.45, 172.15 -43.19, 172.75 -43.19, 172.75 -43.45, 172.15 -43.45))\"}", + "title": "Rangiora, Canterbury, New Zealand 2014" + }, + "description": "Lidar was captured for Waimakariri District Council and Environment Canterbury Regional Council by Aerial Surveys in March - June 2014. The datasets were generated by Aerial Surveys and their subcontractors. The survey area includes the Rangiora township area and the lower Ashley, Eyre, and Waimakariri river channels. Data management and distribution is by Land Information New Zealand. Prepared DEM and DSM files are available through the LINZ Data Service https://data.linz.govt.nz/layer/3552-canterbury-rangiora-lidar-1m-dem-2014/ https://data.linz.govt.nz/layer/3553-canterbury-rangiora-lidar-1m-dsm-2014/", + "distribution_titles": [ + "OpenTopography Data Download Page" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/6839c23d-95a6-476a-ad95-b6ee4d47f826", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/6839c23d-95a6-476a-ad95-b6ee4d47f826/raw", + "has_download": false, + "has_spatial": true, + "identifier": "OT.122016.2193.6", + "keyword": [ + "Rangiora", + "aerial surveys", + "canterbury", + "lidar", + "linz", + "new zealand", + "south island", + "waimakariri" + ], + "last_harvested_date": "2026-09-24T21:06:55.799642", + "organization": { + "aliases": [ + "" + ], + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "a2ea361e-1350-4df1-8d61-4c326b3394ae", + "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png", + "name": "OpenTopography", + "organization_type": "University", + "slug": "opentopography" + }, + "parent_identifier": null, + "popularity": 0, + "publisher": "OpenTopography", + "slug": "rangiora-canterbury-new-zealand-2014-998c0", + "spatial_centroid": { + "lat": -43.346000000000004, + "lon": 172.39000000000001 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + 172.15, + -43.45 + ], + [ + 172.75, + -43.45 + ], + [ + 172.75, + -43.19 + ], + [ + 172.15, + -43.19 + ], + [ + 172.15, + -43.45 + ] + ] + ], + "type": "Polygon" + }, + "theme": [], + "title": "Rangiora, Canterbury, New Zealand 2014", + "type": "dataset" + }, + { + "_score": 17.354568, + "_sort": [ + 1790284015655, + 17.354568, + 0, + "f4361ed4-0f26-49c0-9490-fd96cf6b62d7" + ], + "dcat": { + "@type": "dcat:Dataset", + "accessLevel": "public", + "bureauCode": [ + "000:00" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "OpenTopography Support", + "hasEmail": "mailto:info@opentopography.org" + }, + "description": "Lidar was captured for Environment Canterbury Regional Council by Aerial Surveys in July 2014. The datasets were generated by Aerial Surveys and their subcontractors. The survey area includes the Geraldine and Temuka township areas and the lower Rangitata, Orari, and Opihi river corridors. Data management and distribution is by Land Information New Zealand. Prepared DEM and DSM files are available through the LINZ Data Service https://data.linz.govt.nz/layer/3554-canterbury-timaru-rivers-lidar-1m-dem-2014/ https://data.linz.govt.nz/layer/3555-canterbury-timaru-rivers-lidar-1m-dsm-2014/", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://doi.org/10.5069/G93R0QSF", + "mediaType": "text/html", + "title": "OpenTopography Data Download Page" + } + ], + "identifier": "OT.122016.2193.2", + "keyword": [ + "aerial surveys", + "canterbury", + "geraldine", + "lidar", + "linz", + "new zealand", + "south island", + "temuka" + ], + "license": "https://creativecommons.org/licenses/by/4.0", + "modified": "2017-01-13", + "programCode": [ + "000:000" + ], + "publisher": { + "@type": "org:Organization", + "name": "OpenTopography" + }, + "spatial": "{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((171.16 -44.29, 171.16 -43.88, 171.50 -43.88, 171.50 -44.29, 171.16 -44.29))\"}", + "title": "Timaru Rivers, Canterbury, New Zealand 2014" + }, + "description": "Lidar was captured for Environment Canterbury Regional Council by Aerial Surveys in July 2014. The datasets were generated by Aerial Surveys and their subcontractors. The survey area includes the Geraldine and Temuka township areas and the lower Rangitata, Orari, and Opihi river corridors. Data management and distribution is by Land Information New Zealand. Prepared DEM and DSM files are available through the LINZ Data Service https://data.linz.govt.nz/layer/3554-canterbury-timaru-rivers-lidar-1m-dem-2014/ https://data.linz.govt.nz/layer/3555-canterbury-timaru-rivers-lidar-1m-dsm-2014/", + "distribution_titles": [ + "OpenTopography Data Download Page" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/23e9bbce-7869-480a-81ea-2927abf7549b", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/23e9bbce-7869-480a-81ea-2927abf7549b/raw", + "has_download": false, + "has_spatial": true, + "identifier": "OT.122016.2193.2", + "keyword": [ + "aerial surveys", + "canterbury", + "geraldine", + "lidar", + "linz", + "new zealand", + "south island", + "temuka" + ], + "last_harvested_date": "2026-09-24T21:06:55.655050", + "organization": { + "aliases": [ + "" + ], + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "a2ea361e-1350-4df1-8d61-4c326b3394ae", + "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png", + "name": "OpenTopography", + "organization_type": "University", + "slug": "opentopography" + }, + "parent_identifier": null, + "popularity": 0, + "publisher": "OpenTopography", + "slug": "timaru-rivers-canterbury-new-zealand-2014-f7141", + "spatial_centroid": { + "lat": -44.126, + "lon": 171.296 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + 171.16, + -44.29 + ], + [ + 171.5, + -44.29 + ], + [ + 171.5, + -43.88 + ], + [ + 171.16, + -43.88 + ], + [ + 171.16, + -44.29 + ] + ] + ], + "type": "Polygon" + }, + "theme": [], + "title": "Timaru Rivers, Canterbury, New Zealand 2014", + "type": "dataset" + }, + { + "_score": 17.517498, + "_sort": [ + 1790284014763, + 17.517498, + 0, + "918d3380-382d-472c-8596-ce75d1a031d4" + ], + "dcat": { + "@type": "dcat:Dataset", + "accessLevel": "public", + "bureauCode": [ + "000:00" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "OpenTopography Support", + "hasEmail": "mailto:info@opentopography.org" + }, + "description": "Lidar was captured for Environment Canterbury Regional Council by AAM in October and November 2015. The datasets were generated by AAM and their subcontractors. The survey area includes Christchurch City and large portions of the Selwyn district. Data management and distribution is by Land Information New Zealand. Prepared DEM and DSM files are available through the LINZ Data Service https://data.linz.govt.nz/layer/3587-canterbury-christchurch-and-selwyn-lidar-1m-dem-2015/ https://data.linz.govt.nz/layer/3588-canterbury-christchurch-and-selwyn-lidar-1m-dsm-2015/", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://doi.org/10.5069/G9JQ0XZV", + "mediaType": "text/html", + "title": "OpenTopography Data Download Page" + } + ], + "identifier": "OT.032017.2193.1", + "keyword": [ + "AAM", + "Christchurch", + "Selwyn", + "lidar", + "linz", + "new zealand", + "south island" + ], + "license": "https://creativecommons.org/licenses/by/4.0", + "modified": "2017-03-07", + "programCode": [ + "000:000" + ], + "publisher": { + "@type": "org:Organization", + "name": "OpenTopography" + }, + "spatial": "{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((171.66 -43.91, 171.66 -43.27, 172.82 -43.27, 172.82 -43.91, 171.66 -43.91))\"}", + "title": "Christchurch and Selwyn, Canterbury, New Zealand 2015" + }, + "description": "Lidar was captured for Environment Canterbury Regional Council by AAM in October and November 2015. The datasets were generated by AAM and their subcontractors. The survey area includes Christchurch City and large portions of the Selwyn district. Data management and distribution is by Land Information New Zealand. Prepared DEM and DSM files are available through the LINZ Data Service https://data.linz.govt.nz/layer/3587-canterbury-christchurch-and-selwyn-lidar-1m-dem-2015/ https://data.linz.govt.nz/layer/3588-canterbury-christchurch-and-selwyn-lidar-1m-dsm-2015/", + "distribution_titles": [ + "OpenTopography Data Download Page" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/1ed11a35-896f-4d1d-a4bc-5c05b6bcb03f", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/1ed11a35-896f-4d1d-a4bc-5c05b6bcb03f/raw", + "has_download": false, + "has_spatial": true, + "identifier": "OT.032017.2193.1", + "keyword": [ + "AAM", + "Christchurch", + "Selwyn", + "lidar", + "linz", + "new zealand", + "south island" + ], + "last_harvested_date": "2026-09-24T21:06:54.763223", + "organization": { + "aliases": [ + "" + ], + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "a2ea361e-1350-4df1-8d61-4c326b3394ae", + "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png", + "name": "OpenTopography", + "organization_type": "University", + "slug": "opentopography" + }, + "parent_identifier": null, + "popularity": 0, + "publisher": "OpenTopography", + "slug": "christchurch-and-selwyn-canterbury-new-zealand-2015-3082c", + "spatial_centroid": { + "lat": -43.653999999999996, + "lon": 172.124 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + 171.66, + -43.91 + ], + [ + 172.82, + -43.91 + ], + [ + 172.82, + -43.27 + ], + [ + 171.66, + -43.27 + ], + [ + 171.66, + -43.91 + ] + ] + ], + "type": "Polygon" + }, + "theme": [], + "title": "Christchurch and Selwyn, Canterbury, New Zealand 2015", + "type": "dataset" + }, + { + "_score": 17.06733, + "_sort": [ + 1790284014337, + 17.06733, + 0, + "1b7f66af-bf96-49d2-9356-fc8eafbb2c09" + ], + "dcat": { + "@type": "dcat:Dataset", + "accessLevel": "public", + "bureauCode": [ + "000:00" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "OpenTopography Support", + "hasEmail": "mailto:info@opentopography.org" + }, + "description": "Lidar was captured for Environment Canterbury Regional Council by Aerial Surveys in May 2013. The datasets were generated by Aerial Surveys and their subcontractors. The survey area includes Hanmer Springs, Hanmer Plain, Waiau, Waiau River, Hurunui River, Pahau River, and Culverden. Data management and distribution is by Land Information New Zealand. Prepared DEM and DSM files are available through the LINZ Data Service https://data.linz.govt.nz/layer/3582-canterbury-hurunui-rivers-lidar-1m-dem-2013/ https://data.linz.govt.nz/layer/3580-canterbury-hurunui-rivers-lidar-1m-dsm-2013/", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://doi.org/10.5069/G9PC3093", + "mediaType": "text/html", + "title": "OpenTopography Data Download Page" + } + ], + "identifier": "OT.042017.2193.1", + "keyword": [ + "Hurunui", + "aerial surveys", + "canterbury", + "culverden", + "hanmer", + "lidar", + "linz", + "new zealand", + "pahau", + "south island", + "waiau" + ], + "license": "https://creativecommons.org/licenses/by/4.0", + "modified": "2017-05-10", + "programCode": [ + "000:000" + ], + "publisher": { + "@type": "org:Organization", + "name": "OpenTopography" + }, + "spatial": "{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((172.52 -42.91, 172.52 -42.50, 173.34 -42.50, 173.34 -42.91, 172.52 -42.91))\"}", + "title": "Hurunui Rivers, Canterbury, New Zealand 2013" + }, + "description": "Lidar was captured for Environment Canterbury Regional Council by Aerial Surveys in May 2013. The datasets were generated by Aerial Surveys and their subcontractors. The survey area includes Hanmer Springs, Hanmer Plain, Waiau, Waiau River, Hurunui River, Pahau River, and Culverden. Data management and distribution is by Land Information New Zealand. Prepared DEM and DSM files are available through the LINZ Data Service https://data.linz.govt.nz/layer/3582-canterbury-hurunui-rivers-lidar-1m-dem-2013/ https://data.linz.govt.nz/layer/3580-canterbury-hurunui-rivers-lidar-1m-dsm-2013/", + "distribution_titles": [ + "OpenTopography Data Download Page" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/520acc6c-f84a-43d5-94a1-9d317a8a88ce", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/520acc6c-f84a-43d5-94a1-9d317a8a88ce/raw", + "has_download": false, + "has_spatial": true, + "identifier": "OT.042017.2193.1", + "keyword": [ + "Hurunui", + "aerial surveys", + "canterbury", + "culverden", + "hanmer", + "lidar", + "linz", + "new zealand", + "pahau", + "south island", + "waiau" + ], + "last_harvested_date": "2026-09-24T21:06:54.337611", + "organization": { + "aliases": [ + "" + ], + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "a2ea361e-1350-4df1-8d61-4c326b3394ae", + "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png", + "name": "OpenTopography", + "organization_type": "University", + "slug": "opentopography" + }, + "parent_identifier": null, + "popularity": 0, + "publisher": "OpenTopography", + "slug": "hurunui-rivers-canterbury-new-zealand-2013-b6f4c", + "spatial_centroid": { + "lat": -42.745999999999995, + "lon": 172.848 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + 172.52, + -42.91 + ], + [ + 173.34, + -42.91 + ], + [ + 173.34, + -42.5 + ], + [ + 172.52, + -42.5 + ], + [ + 172.52, + -42.91 + ] + ] + ], + "type": "Polygon" + }, + "theme": [], + "title": "Hurunui Rivers, Canterbury, New Zealand 2013", + "type": "dataset" + }, + { + "_score": 15.762857, + "_sort": [ + 1790284014209, + 15.762857, + 0, + "d44ec438-f7fb-4a85-9a89-95aae71efe11" + ], + "dcat": { + "@type": "dcat:Dataset", + "accessLevel": "public", + "bureauCode": [ + "422:00" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "OpenTopography Support", + "hasEmail": "mailto:info@opentopography.org" + }, + "description": "This dataset was collected by NCALM for PI Dr. William Dietrich, University of California, Berkeley. The Eel River CZO is a multi-disciplinary research collaborative based at the University of California, Berkeley. CZO research explores how biotic and abiotic factors interact in the near-surface environment (from bedrook to tree tops) and how these relationships impact environmental processes. The requested survey area consisted of a polygon located 145 km West of Chico, CA. The polygon encloses approximately 57.1 square km. This survey was performed with an Optech Gemini Airborne Laser Terrain Mapper (ALTM) serial number 06SEN195 mounted in a twin-engine Piper PA-31-350 Navajo Chieftain (Tail Number N931SA).Publications associated with this dataset can be found at NCALM's Data Tracking Center", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://doi.org/10.5069/G9MP517V", + "mediaType": "text/html", + "title": "OpenTopography Data Download Page" + } + ], + "identifier": "OT.122016.26910.1", + "keyword": [ + "NCALM", + "california", + "critical zone observatory", + "czo", + "eel river", + "lidar" + ], + "license": "https://creativecommons.org/licenses/by/4.0", + "modified": "2017-05-12", + "programCode": [ + "000:000" + ], + "publisher": { + "@type": "org:Organization", + "name": "OpenTopography" + }, + "spatial": "{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((-124.32 39.67, -124.32 40.68, -123.55 40.68, -123.55 39.67, -124.32 39.67))\"}", + "title": "Eel River Critical Zone Observatory July 2014 Lidar Survey (1064 nm/Angelo)" + }, + "description": "This dataset was collected by NCALM for PI Dr. William Dietrich, University of California, Berkeley. The Eel River CZO is a multi-disciplinary research collaborative based at the University of California, Berkeley. CZO research explores how biotic and abiotic factors interact in the near-surface environment (from bedrook to tree tops) and how these relationships impact environmental processes. The requested survey area consisted of a polygon located 145 km West of Chico, CA. The polygon encloses approximately 57.1 square km. This survey was performed with an Optech Gemini Airborne Laser Terrain Mapper (ALTM) serial number 06SEN195 mounted in a twin-engine Piper PA-31-350 Navajo Chieftain (Tail Number N931SA).Publications associated with this dataset can be found at NCALM's Data Tracking Center", + "distribution_titles": [ + "OpenTopography Data Download Page" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/34d2b0ab-4914-4566-9345-86b26f4cefb4", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/34d2b0ab-4914-4566-9345-86b26f4cefb4/raw", + "has_download": false, + "has_spatial": true, + "identifier": "OT.122016.26910.1", + "keyword": [ + "NCALM", + "california", + "critical zone observatory", + "czo", + "eel river", + "lidar" + ], + "last_harvested_date": "2026-09-24T21:06:54.209099", + "organization": { + "aliases": [ + "" + ], + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "a2ea361e-1350-4df1-8d61-4c326b3394ae", + "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png", + "name": "OpenTopography", + "organization_type": "University", + "slug": "opentopography" + }, + "parent_identifier": null, + "popularity": 0, + "publisher": "OpenTopography", + "slug": "eel-river-critical-zone-observatory-july-2014-lidar-survey-1064-nm-angelo-3a508", + "spatial_centroid": { + "lat": 40.074, + "lon": -124.01199999999999 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + -124.32, + 39.67 + ], + [ + -123.55, + 39.67 + ], + [ + -123.55, + 40.68 + ], + [ + -124.32, + 40.68 + ], + [ + -124.32, + 39.67 + ] + ] + ], + "type": "Polygon" + }, + "theme": [], + "title": "Eel River Critical Zone Observatory July 2014 Lidar Survey (1064 nm/Angelo)", + "type": "dataset" + }, + { + "_score": 17.06733, + "_sort": [ + 1790284008572, + 17.06733, + 0, + "00db8748-4a18-4767-bb97-91ab190a1718" + ], + "dcat": { + "@type": "dcat:Dataset", + "accessLevel": "public", + "bureauCode": [ + "000:00" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "OpenTopography Support", + "hasEmail": "mailto:info@opentopography.org" + }, + "description": "Lidar was captured for Environment Canterbury Regional Council by AAM New Zealand in Nov 2016 through to Jan 2017. The original dataset were generated by AAM New Zealand and their subcontractors. The survey area includes Ashburton, Lower Rangitata, Darfield, Hakataramea, Methven, Moeraki, Omarama, Otematata, Rakaia, Rolleston, Tekapo, Waimate. Data management and distribution is by Land Information New Zealand. Prepared DEM and DSM files are available through the LINZ Data Service: Canterbury, New Zealand Digital Elevation Model 2016-2017 Canterbury, New Zealand Digital Surface Model 2016-2017", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://doi.org/10.5069/G9707ZJH", + "mediaType": "text/html", + "title": "OpenTopography Data Download Page" + } + ], + "identifier": "OT.032019.2193.1", + "keyword": [ + "aam", + "ashburton", + "canterbury", + "darfield", + "hakataramea", + "lidar", + "linz", + "methven", + "moeraki", + "new zealand", + "omarama", + "otematata", + "rakaia", + "rangitata", + "rolleston", + "south island", + "tekapo", + "waimate" + ], + "license": "https://creativecommons.org/licenses/by/4.0", + "modified": "2019-03-21", + "programCode": [ + "000:000" + ], + "publisher": { + "@type": "org:Organization", + "name": "OpenTopography" + }, + "spatial": "{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((169.78 -45.37, 169.78 -43.45, 172.65 -43.45, 172.65 -45.37, 169.78 -45.37))\"}", + "title": "Canterbury, New Zealand 2016-2017" + }, + "description": "Lidar was captured for Environment Canterbury Regional Council by AAM New Zealand in Nov 2016 through to Jan 2017. The original dataset were generated by AAM New Zealand and their subcontractors. The survey area includes Ashburton, Lower Rangitata, Darfield, Hakataramea, Methven, Moeraki, Omarama, Otematata, Rakaia, Rolleston, Tekapo, Waimate. Data management and distribution is by Land Information New Zealand. Prepared DEM and DSM files are available through the LINZ Data Service: Canterbury, New Zealand Digital Elevation Model 2016-2017 Canterbury, New Zealand Digital Surface Model 2016-2017", + "distribution_titles": [ + "OpenTopography Data Download Page" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/94416e35-a613-4395-a0d9-43110fa8d236", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/94416e35-a613-4395-a0d9-43110fa8d236/raw", + "has_download": false, + "has_spatial": true, + "identifier": "OT.032019.2193.1", + "keyword": [ + "aam", + "ashburton", + "canterbury", + "darfield", + "hakataramea", + "lidar", + "linz", + "methven", + "moeraki", + "new zealand", + "omarama", + "otematata", + "rakaia", + "rangitata", + "rolleston", + "south island", + "tekapo", + "waimate" + ], + "last_harvested_date": "2026-09-24T21:06:48.572163", + "organization": { + "aliases": [ + "" + ], + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "a2ea361e-1350-4df1-8d61-4c326b3394ae", + "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png", + "name": "OpenTopography", + "organization_type": "University", + "slug": "opentopography" + }, + "parent_identifier": null, + "popularity": 0, + "publisher": "OpenTopography", + "slug": "canterbury-new-zealand-2016-2017-fc611", + "spatial_centroid": { + "lat": -44.602, + "lon": 170.928 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + 169.78, + -45.37 + ], + [ + 172.65, + -45.37 + ], + [ + 172.65, + -43.45 + ], + [ + 169.78, + -43.45 + ], + [ + 169.78, + -45.37 + ] + ] + ], + "type": "Polygon" + }, + "theme": [], + "title": "Canterbury, New Zealand 2016-2017", + "type": "dataset" + }, + { + "_score": 16.4212, + "_sort": [ + 1790284005153, + 16.4212, + 0, + "a303f533-29d8-4d46-8091-67bae9953982" + ], + "dcat": { + "@type": "dcat:Dataset", + "accessLevel": "public", + "bureauCode": [ + "000:00" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "OpenTopography Support", + "hasEmail": "mailto:info@opentopography.org" + }, + "description": "Lidar was captured for Environment Canterbury Regional Council by Aerial Surveys between July 2018 to March 2019. The dataset was generated by Aerial Surveys and their subcontractors. The survey area includes Christchurch City and the Ashley River, as well as the surrounding area. Data management and distribution is by Land Information New Zealand. Prepared DEM and DSM files are available through the LINZ Data Service: Christchurch and Ashley River, Canterbury, New Zealand 2018-2019 Digital Elevation Model Christchurch and Ashley River, Canterbury, New Zealand 2018-2019 Digital Surface Model Christchurch and Ashley River, Canterbury, New Zealand 2018-2019 Raster Tile Index", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://doi.org/10.5069/G91J97WQ", + "mediaType": "text/html", + "title": "OpenTopography Data Download Page" + } + ], + "identifier": "OT.022020.2193.3", + "keyword": [ + "aerial surveys", + "ashley river", + "canterbury", + "christchurch", + "lidar", + "linz", + "new zealand", + "south island" + ], + "license": "https://creativecommons.org/licenses/by/4.0", + "modified": "2020-02-26", + "programCode": [ + "000:000" + ], + "publisher": { + "@type": "org:Organization", + "name": "OpenTopography" + }, + "spatial": "{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((172.39 -43.68, 172.39 -43.19, 172.82 -43.19, 172.82 -43.68, 172.39 -43.68))\"}", + "title": "Christchurch and Ashley River, Canterbury, New Zealand 2018-2019" + }, + "description": "Lidar was captured for Environment Canterbury Regional Council by Aerial Surveys between July 2018 to March 2019. The dataset was generated by Aerial Surveys and their subcontractors. The survey area includes Christchurch City and the Ashley River, as well as the surrounding area. Data management and distribution is by Land Information New Zealand. Prepared DEM and DSM files are available through the LINZ Data Service: Christchurch and Ashley River, Canterbury, New Zealand 2018-2019 Digital Elevation Model Christchurch and Ashley River, Canterbury, New Zealand 2018-2019 Digital Surface Model Christchurch and Ashley River, Canterbury, New Zealand 2018-2019 Raster Tile Index", + "distribution_titles": [ + "OpenTopography Data Download Page" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/4c6a06d4-c791-4f66-b0e6-a1ffd52afc62", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/4c6a06d4-c791-4f66-b0e6-a1ffd52afc62/raw", + "has_download": false, + "has_spatial": true, + "identifier": "OT.022020.2193.3", + "keyword": [ + "aerial surveys", + "ashley river", + "canterbury", + "christchurch", + "lidar", + "linz", + "new zealand", + "south island" + ], + "last_harvested_date": "2026-09-24T21:06:45.153752", + "organization": { + "aliases": [ + "" + ], + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "a2ea361e-1350-4df1-8d61-4c326b3394ae", + "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png", + "name": "OpenTopography", + "organization_type": "University", + "slug": "opentopography" + }, + "parent_identifier": null, + "popularity": 0, + "publisher": "OpenTopography", + "slug": "christchurch-and-ashley-river-canterbury-new-zealand-2018-2019-741d7", + "spatial_centroid": { + "lat": -43.483999999999995, + "lon": 172.56199999999998 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + 172.39, + -43.68 + ], + [ + 172.82, + -43.68 + ], + [ + 172.82, + -43.19 + ], + [ + 172.39, + -43.19 + ], + [ + 172.39, + -43.68 + ] + ] + ], + "type": "Polygon" + }, + "theme": [], + "title": "Christchurch and Ashley River, Canterbury, New Zealand 2018-2019", + "type": "dataset" + }, + { + "_score": 18.949114, + "_sort": [ + 1790284002228, + 18.949114, + 0, + "ccf431de-d3d6-468f-8556-bcf9c69b2955" + ], + "dcat": { + "@type": "dcat:Dataset", + "accessLevel": "public", + "bureauCode": [ + "000:00" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "OpenTopography Support", + "hasEmail": "mailto:info@opentopography.org" + }, + "description": "Lidar was captured for Environment Canterbury Regional Council by Aerial Surveys New Zealand in March 2018 through to May 2019. The dataset was generated by Aerial Surveys New Zealand and their subcontractors. The survey area includes Amuri Plain, Ashburton, Fairlie Foothills, Pegasus, Motunau, Selwyn North, Selwyn South and Waimate. Data management and distribution is by Land Information New Zealand.", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://doi.org/10.5069/G92N50FT", + "mediaType": "text/html", + "title": "OpenTopography Data Download Page" + } + ], + "identifier": "OT.082020.2193.1", + "keyword": [ + "aerial surveys", + "amuri plain", + "ashburton", + "canterbury", + "fairlie foothills", + "lidar", + "linz", + "motunau", + "new zealand", + "pegasus", + "selwyn north", + "selwyn south", + "south island", + "waimate" + ], + "license": "https://creativecommons.org/licenses/by/4.0", + "modified": "2020-08-05", + "programCode": [ + "000:000" + ], + "publisher": { + "@type": "org:Organization", + "name": "OpenTopography" + }, + "spatial": "{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((170.69 -44.95, 170.69 -42.64, 173.12 -42.64, 173.12 -44.95, 170.69 -44.95))\"}", + "title": "Canterbury, New Zealand 2018-2019" + }, + "description": "Lidar was captured for Environment Canterbury Regional Council by Aerial Surveys New Zealand in March 2018 through to May 2019. The dataset was generated by Aerial Surveys New Zealand and their subcontractors. The survey area includes Amuri Plain, Ashburton, Fairlie Foothills, Pegasus, Motunau, Selwyn North, Selwyn South and Waimate. Data management and distribution is by Land Information New Zealand.", + "distribution_titles": [ + "OpenTopography Data Download Page" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/062fbc82-35d0-486a-85e2-081865dd6492", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/062fbc82-35d0-486a-85e2-081865dd6492/raw", + "has_download": false, + "has_spatial": true, + "identifier": "OT.082020.2193.1", + "keyword": [ + "aerial surveys", + "amuri plain", + "ashburton", + "canterbury", + "fairlie foothills", + "lidar", + "linz", + "motunau", + "new zealand", + "pegasus", + "selwyn north", + "selwyn south", + "south island", + "waimate" + ], + "last_harvested_date": "2026-09-24T21:06:42.228929", + "organization": { + "aliases": [ + "" + ], + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "a2ea361e-1350-4df1-8d61-4c326b3394ae", + "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png", + "name": "OpenTopography", + "organization_type": "University", + "slug": "opentopography" + }, + "parent_identifier": null, + "popularity": 0, + "publisher": "OpenTopography", + "slug": "canterbury-new-zealand-2018-2019-566fe", + "spatial_centroid": { + "lat": -44.025999999999996, + "lon": 171.66199999999998 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + 170.69, + -44.95 + ], + [ + 173.12, + -44.95 + ], + [ + 173.12, + -42.64 + ], + [ + 170.69, + -42.64 + ], + [ + 170.69, + -44.95 + ] + ] + ], + "type": "Polygon" + }, + "theme": [], + "title": "Canterbury, New Zealand 2018-2019", + "type": "dataset" + }, + { + "_score": 20.00056, + "_sort": [ + 1790284001399, + 20.00056, + 0, + "b748ea7e-b7d1-4ce2-b29f-6e31da9aad1e" + ], + "dcat": { + "@type": "dcat:Dataset", + "accessLevel": "public", + "bureauCode": [ + "000:00" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "OpenTopography Support", + "hasEmail": "mailto:info@opentopography.org" + }, + "description": "Lidar was captured for Environment Canterbury Regional Council by Aerial Surveys Limited from 18th July 2018 to 10th February 2019. The dataset was generated by Aerial Surveys and their subcontractors. The survey covers Banks Peninsula. Data management and distribution is by Land Information New Zealand.", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://doi.org/10.5069/G98W3BHC", + "mediaType": "text/html", + "title": "OpenTopography Data Download Page" + } + ], + "identifier": "OT.092020.2193.2", + "keyword": [ + "aerial surveys", + "banks peninsula", + "canterbury", + "lidar", + "linz", + "new zealand", + "south island" + ], + "license": "https://creativecommons.org/licenses/by/4.0", + "modified": "2020-10-14", + "programCode": [ + "000:000" + ], + "publisher": { + "@type": "org:Organization", + "name": "OpenTopography" + }, + "spatial": "{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((172.55 -43.91, 172.55 -43.60, 173.14 -43.60, 173.14 -43.91, 172.55 -43.91))\"}", + "title": "Banks Peninsula, Canterbury, New Zealand 2018-2019" + }, + "description": "Lidar was captured for Environment Canterbury Regional Council by Aerial Surveys Limited from 18th July 2018 to 10th February 2019. The dataset was generated by Aerial Surveys and their subcontractors. The survey covers Banks Peninsula. Data management and distribution is by Land Information New Zealand.", + "distribution_titles": [ + "OpenTopography Data Download Page" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/9e449f86-9c74-4d74-94f8-2d17bd52accd", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/9e449f86-9c74-4d74-94f8-2d17bd52accd/raw", + "has_download": false, + "has_spatial": true, + "identifier": "OT.092020.2193.2", + "keyword": [ + "aerial surveys", + "banks peninsula", + "canterbury", + "lidar", + "linz", + "new zealand", + "south island" + ], + "last_harvested_date": "2026-09-24T21:06:41.399517", + "organization": { + "aliases": [ + "" + ], + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "a2ea361e-1350-4df1-8d61-4c326b3394ae", + "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png", + "name": "OpenTopography", + "organization_type": "University", + "slug": "opentopography" + }, + "parent_identifier": null, + "popularity": 0, + "publisher": "OpenTopography", + "slug": "banks-peninsula-canterbury-new-zealand-2018-2019-910c5", + "spatial_centroid": { + "lat": -43.786, + "lon": 172.786 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + 172.55, + -43.91 + ], + [ + 173.14, + -43.91 + ], + [ + 173.14, + -43.6 + ], + [ + 172.55, + -43.6 + ], + [ + 172.55, + -43.91 + ] + ] + ], + "type": "Polygon" + }, + "theme": [], + "title": "Banks Peninsula, Canterbury, New Zealand 2018-2019", + "type": "dataset" + }, + { + "_score": 20.90781, + "_sort": [ + 1790283997158, + 20.90781, + 0, + "40be863e-1376-40f4-ad15-c6b69782a7e3" + ], + "dcat": { + "@type": "dcat:Dataset", + "accessLevel": "public", + "bureauCode": [ + "000:00" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "OpenTopography Support", + "hasEmail": "mailto:info@opentopography.org" + }, + "description": "LiDAR was captured for Environment Southland by Aerial Surveys on the 3 September 2021. The dataset was generated by ASL and their subcontractors. Data management and distribution is by Toitū Te Whenua Land Information New Zealand.", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://doi.org/10.5069/G9930RCS", + "mediaType": "text/html", + "title": "OpenTopography Data Download Page" + } + ], + "identifier": "OT.042022.2193.3", + "keyword": [ + "Oban", + "asl", + "linz", + "new zealand", + "rakiura", + "south island", + "southland", + "stewart island" + ], + "license": "https://creativecommons.org/licenses/by/4.0", + "modified": "2022-04-28", + "programCode": [ + "000:000" + ], + "publisher": { + "@type": "org:Organization", + "name": "OpenTopography" + }, + "spatial": "{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((168.08 -46.92, 168.08 -46.85, 168.17 -46.85, 168.17 -46.92, 168.08 -46.92))\"}", + "title": "Oban, Stewart Island / Rakiura, New Zealand 2021" + }, + "description": "LiDAR was captured for Environment Southland by Aerial Surveys on the 3 September 2021. The dataset was generated by ASL and their subcontractors. Data management and distribution is by Toitū Te Whenua Land Information New Zealand.", + "distribution_titles": [ + "OpenTopography Data Download Page" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/1e70486e-2b06-454e-a3b9-e452bf7a1eeb", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/1e70486e-2b06-454e-a3b9-e452bf7a1eeb/raw", + "has_download": false, + "has_spatial": true, + "identifier": "OT.042022.2193.3", + "keyword": [ + "Oban", + "asl", + "linz", + "new zealand", + "rakiura", + "south island", + "southland", + "stewart island" + ], + "last_harvested_date": "2026-09-24T21:06:37.158278", + "organization": { + "aliases": [ + "" + ], + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "a2ea361e-1350-4df1-8d61-4c326b3394ae", + "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png", + "name": "OpenTopography", + "organization_type": "University", + "slug": "opentopography" + }, + "parent_identifier": null, + "popularity": 0, + "publisher": "OpenTopography", + "slug": "oban-stewart-island-rakiura-new-zealand-2021-62973", + "spatial_centroid": { + "lat": -46.892, + "lon": 168.116 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + 168.08, + -46.92 + ], + [ + 168.17, + -46.92 + ], + [ + 168.17, + -46.85 + ], + [ + 168.08, + -46.85 + ], + [ + 168.08, + -46.92 + ] + ] + ], + "type": "Polygon" + }, + "theme": [], + "title": "Oban, Stewart Island / Rakiura, New Zealand 2021", + "type": "dataset" + }, + { + "_score": 17.926239, + "_sort": [ + 1790283993965, + 17.926239, + 0, + "ea3be180-b026-433c-9cad-c32947d9885f" + ], + "dcat": { + "@type": "dcat:Dataset", + "accessLevel": "public", + "bureauCode": [ + "000:00" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "OpenTopography Support", + "hasEmail": "mailto:info@opentopography.org" + }, + "description": "LiDAR was commissioned by Toitū Te Whenua Land Information New Zealand on behalf of GNS Science, Environment Canterbury Regional Council, Marlborough District Council, Kaikoura District Council, Hurunui District Council, Waka Kotahi NZ Transport Agency, and the Earthquake Commission for earthquake recovery purposes for Kaikōura. LiDAR was captured by AAM Ltd after the 14 November 2016 earthquake. The dataset was generated by AAM and their subcontractors. Data management and distribution is by Toitū Te Whenua Land Information New Zealand", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://doi.org/10.5069/G9HD7SWJ", + "mediaType": "text/html", + "title": "OpenTopography Data Download Page" + } + ], + "identifier": "OT.102022.2193.1", + "keyword": [ + "Kaikōura", + "aam", + "linz", + "new zealand", + "south island" + ], + "license": "https://creativecommons.org/licenses/by/4.0", + "modified": "2022-10-11", + "programCode": [ + "000:000" + ], + "publisher": { + "@type": "org:Organization", + "name": "OpenTopography" + }, + "spatial": "{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((172.87 -42.73, 172.87 -41.49, 174.29 -41.49, 174.29 -42.73, 172.87 -42.73))\"}", + "title": "Kaikōura, Canterbury, New Zealand 2016" + }, + "description": "LiDAR was commissioned by Toitū Te Whenua Land Information New Zealand on behalf of GNS Science, Environment Canterbury Regional Council, Marlborough District Council, Kaikoura District Council, Hurunui District Council, Waka Kotahi NZ Transport Agency, and the Earthquake Commission for earthquake recovery purposes for Kaikōura. LiDAR was captured by AAM Ltd after the 14 November 2016 earthquake. The dataset was generated by AAM and their subcontractors. Data management and distribution is by Toitū Te Whenua Land Information New Zealand", + "distribution_titles": [ + "OpenTopography Data Download Page" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/333e4baf-95db-49be-8b5b-55fd813837e2", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/333e4baf-95db-49be-8b5b-55fd813837e2/raw", + "has_download": false, + "has_spatial": true, + "identifier": "OT.102022.2193.1", + "keyword": [ + "Kaikōura", + "aam", + "linz", + "new zealand", + "south island" + ], + "last_harvested_date": "2026-09-24T21:06:33.965825", + "organization": { + "aliases": [ + "" + ], + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "a2ea361e-1350-4df1-8d61-4c326b3394ae", + "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png", + "name": "OpenTopography", + "organization_type": "University", + "slug": "opentopography" + }, + "parent_identifier": null, + "popularity": 0, + "publisher": "OpenTopography", + "slug": "kaik333ura-canterbury-new-zealand-2016-271ff", + "spatial_centroid": { + "lat": -42.233999999999995, + "lon": 173.43800000000002 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + 172.87, + -42.73 + ], + [ + 174.29, + -42.73 + ], + [ + 174.29, + -41.49 + ], + [ + 172.87, + -41.49 + ], + [ + 172.87, + -42.73 + ] + ] + ], + "type": "Polygon" + }, + "theme": [], + "title": "Kaikōura, Canterbury, New Zealand 2016", + "type": "dataset" + }, + { + "_score": 19.005007, + "_sort": [ + 1790283992057, + 19.005007, + 0, + "645d75af-2041-422b-a8cb-8bfb436f587c" + ], + "dcat": { + "@type": "dcat:Dataset", + "accessLevel": "public", + "bureauCode": [ + "000:00" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "OpenTopography Support", + "hasEmail": "mailto:info@opentopography.org" + }, + "description": "LiDAR was captured for Environment Canterbury Regional Council by Aerial Surveys Ltd from 1 May 2020 to 22 April 2024. In the summer months of 2025, small, isolated areas were re-flown to address data voids. The dataset was generated by Aerial Surveys and their subcontractors. Data management and distribution is by Toitū Te Whenua Land Information New Zealand.", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://doi.org/10.5069/G9Q23XF8", + "mediaType": "text/html", + "title": "OpenTopography Data Download Page" + } + ], + "identifier": "OT.122022.2193.1", + "keyword": [ + "Canterbury", + "aerial surveys", + "linz", + "new zealand", + "south island" + ], + "license": "https://creativecommons.org/licenses/by/4.0", + "modified": "2022-12-05", + "programCode": [ + "000:000" + ], + "publisher": { + "@type": "org:Organization", + "name": "OpenTopography" + }, + "spatial": "{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((169.54 -45.09, 169.54 -41.90, 174.07 -41.90, 174.07 -45.09, 169.54 -45.09))\"}", + "title": "Canterbury, New Zealand 2020-2025" + }, + "description": "LiDAR was captured for Environment Canterbury Regional Council by Aerial Surveys Ltd from 1 May 2020 to 22 April 2024. In the summer months of 2025, small, isolated areas were re-flown to address data voids. The dataset was generated by Aerial Surveys and their subcontractors. Data management and distribution is by Toitū Te Whenua Land Information New Zealand.", + "distribution_titles": [ + "OpenTopography Data Download Page" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/f9057079-ac8d-4c5d-9a0b-2107d9e6febe", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/f9057079-ac8d-4c5d-9a0b-2107d9e6febe/raw", + "has_download": false, + "has_spatial": true, + "identifier": "OT.122022.2193.1", + "keyword": [ + "Canterbury", + "aerial surveys", + "linz", + "new zealand", + "south island" + ], + "last_harvested_date": "2026-09-24T21:06:32.057123", + "organization": { + "aliases": [ + "" + ], + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "a2ea361e-1350-4df1-8d61-4c326b3394ae", + "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png", + "name": "OpenTopography", + "organization_type": "University", + "slug": "opentopography" + }, + "parent_identifier": null, + "popularity": 0, + "publisher": "OpenTopography", + "slug": "canterbury-new-zealand-2020-2025-6f74d", + "spatial_centroid": { + "lat": -43.814, + "lon": 171.352 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + 169.54, + -45.09 + ], + [ + 174.07, + -45.09 + ], + [ + 174.07, + -41.9 + ], + [ + 169.54, + -41.9 + ], + [ + 169.54, + -45.09 + ] + ] + ], + "type": "Polygon" + }, + "theme": [], + "title": "Canterbury, New Zealand 2020-2025", + "type": "dataset" + }, + { + "_score": 30.29134, + "_sort": [ + 1790283988247, + 30.29134, + 0, + "3c92d0a5-b46e-4b6c-84dc-a9eff57f46f5" + ], + "dcat": { + "@type": "dcat:Dataset", + "accessLevel": "public", + "bureauCode": [ + "000:00" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "OpenTopography Support", + "hasEmail": "mailto:info@opentopography.org" + }, + "description": "LiDAR was captured for Environment Southland by Aerial Surveys from 15 December 2020 to 30 January 2024. The dataset was generated by Aerial Surveys and their subcontractors. Data management and distribution is by Toitū Te Whenua Land Information New Zealand", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://doi.org/10.5069/G9TM78B1", + "mediaType": "text/html", + "title": "OpenTopography Data Download Page" + } + ], + "identifier": "OT.042023.2193.3", + "keyword": [ + "aerial surveys", + "environment southland", + "gore", + "invercargill", + "linz", + "milford", + "new zealand", + "south island" + ], + "license": "https://creativecommons.org/licenses/by/4.0", + "modified": "2023-05-15", + "programCode": [ + "000:000" + ], + "publisher": { + "@type": "org:Organization", + "name": "OpenTopography" + }, + "spatial": "{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((167.21 -46.68, 167.21 -44.64, 169.28 -44.64, 169.28 -46.68, 167.21 -46.68))\"}", + "title": "Southland, New Zealand 2020-2024" + }, + "description": "LiDAR was captured for Environment Southland by Aerial Surveys from 15 December 2020 to 30 January 2024. The dataset was generated by Aerial Surveys and their subcontractors. Data management and distribution is by Toitū Te Whenua Land Information New Zealand", + "distribution_titles": [ + "OpenTopography Data Download Page" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/1e6fa853-68da-48ac-9caa-29ef7e55ec49", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/1e6fa853-68da-48ac-9caa-29ef7e55ec49/raw", + "has_download": false, + "has_spatial": true, + "identifier": "OT.042023.2193.3", + "keyword": [ + "aerial surveys", + "environment southland", + "gore", + "invercargill", + "linz", + "milford", + "new zealand", + "south island" + ], + "last_harvested_date": "2026-09-24T21:06:28.247722", + "organization": { + "aliases": [ + "" + ], + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "a2ea361e-1350-4df1-8d61-4c326b3394ae", + "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png", + "name": "OpenTopography", + "organization_type": "University", + "slug": "opentopography" + }, + "parent_identifier": null, + "popularity": 0, + "publisher": "OpenTopography", + "slug": "southland-new-zealand-2020-2024-b5b9a", + "spatial_centroid": { + "lat": -45.864, + "lon": 168.038 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + 167.21, + -46.68 + ], + [ + 169.28, + -46.68 + ], + [ + 169.28, + -44.64 + ], + [ + 167.21, + -44.64 + ], + [ + 167.21, + -46.68 + ] + ] + ], + "type": "Polygon" + }, + "theme": [], + "title": "Southland, New Zealand 2020-2024", + "type": "dataset" + }, + { + "_score": 19.124834, + "_sort": [ + 1790283986318, + 19.124834, + 0, + "83d73ffc-f91f-4be5-a1d2-8ed12da70b6d" + ], + "dcat": { + "@type": "dcat:Dataset", + "accessLevel": "public", + "bureauCode": [ + "000:00" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "OpenTopography Support", + "hasEmail": "mailto:info@opentopography.org" + }, + "description": "LiDAR was captured for Environment Canterbury Regional Council by Aerial Surveys Ltd on 2 July 2022, 3 July 2022 and 15 September 2022. The dataset was generated by Aerial Surveys and their subcontractors. The survey area includes Kaikōura township, Clarence River and Waimakariri River. Data management and distribution is by Toitū Te Whenua Land Information New Zealand.", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://doi.org/10.5069/G9Z60M78", + "mediaType": "text/html", + "title": "OpenTopography Data Download Page" + } + ], + "identifier": "OT.072023.2193.1", + "keyword": [ + "Canterbury", + "aerial surveys", + "clarence", + "kaikoura", + "linz", + "new zealand", + "south island", + "waimakariri" + ], + "license": "https://creativecommons.org/licenses/by/4.0", + "modified": "2023-07-21", + "programCode": [ + "000:000" + ], + "publisher": { + "@type": "org:Organization", + "name": "OpenTopography" + }, + "spatial": "{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((172.04 -43.47, 172.04 -42.10, 173.95 -42.10, 173.95 -43.47, 172.04 -43.47))\"}", + "title": "Kaikōura and Waimakariri, Canterbury, New Zealand 2022" + }, + "description": "LiDAR was captured for Environment Canterbury Regional Council by Aerial Surveys Ltd on 2 July 2022, 3 July 2022 and 15 September 2022. The dataset was generated by Aerial Surveys and their subcontractors. The survey area includes Kaikōura township, Clarence River and Waimakariri River. Data management and distribution is by Toitū Te Whenua Land Information New Zealand.", + "distribution_titles": [ + "OpenTopography Data Download Page" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/436a76d4-ed22-419f-baaf-fa2cdc6c09c9", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/436a76d4-ed22-419f-baaf-fa2cdc6c09c9/raw", + "has_download": false, + "has_spatial": true, + "identifier": "OT.072023.2193.1", + "keyword": [ + "Canterbury", + "aerial surveys", + "clarence", + "kaikoura", + "linz", + "new zealand", + "south island", + "waimakariri" + ], + "last_harvested_date": "2026-09-24T21:06:26.318236", + "organization": { + "aliases": [ + "" + ], + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "a2ea361e-1350-4df1-8d61-4c326b3394ae", + "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png", + "name": "OpenTopography", + "organization_type": "University", + "slug": "opentopography" + }, + "parent_identifier": null, + "popularity": 0, + "publisher": "OpenTopography", + "slug": "kaik333ura-and-waimakariri-canterbury-new-zealand-2022-73de1", + "spatial_centroid": { + "lat": -42.922000000000004, + "lon": 172.804 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + 172.04, + -43.47 + ], + [ + 173.95, + -43.47 + ], + [ + 173.95, + -42.1 + ], + [ + 172.04, + -42.1 + ], + [ + 172.04, + -43.47 + ] + ] + ], + "type": "Polygon" + }, + "theme": [], + "title": "Kaikōura and Waimakariri, Canterbury, New Zealand 2022", + "type": "dataset" + }, + { + "_score": 19.806917, + "_sort": [ + 1790283984780, + 19.806917, + 0, + "a1f181ef-d7d5-41e3-afaa-d6ec91b09dfc" + ], + "dcat": { + "@type": "dcat:Dataset", + "accessLevel": "public", + "bureauCode": [ + "000:00" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "OpenTopography Support", + "hasEmail": "mailto:info@opentopography.org" + }, + "description": "LiDAR was captured for Environment Canterbury Regional Council and Waimakariri District Council by Aerial Surveys Ltd on 14 June 2023 and 17 July 2023. The dataset was generated by Aerial Surveys and their subcontractors. Data management and distribution is by Toitū Te Whenua Land Information New Zealand.", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://doi.org/10.5069/G90V8B15", + "mediaType": "text/html", + "title": "OpenTopography Data Download Page" + } + ], + "identifier": "OT.012024.2193.2", + "keyword": [ + "Canterbury", + "aerial surveys", + "linz", + "new zealand", + "south island" + ], + "license": "https://creativecommons.org/licenses/by/4.0", + "modified": "2024-01-23", + "programCode": [ + "000:000" + ], + "publisher": { + "@type": "org:Organization", + "name": "OpenTopography" + }, + "spatial": "{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((172.04 -43.47, 172.04 -43.35, 172.72 -43.35, 172.72 -43.47, 172.04 -43.47))\"}", + "title": "Waimakariri, Canterbury, New Zealand 2023" + }, + "description": "LiDAR was captured for Environment Canterbury Regional Council and Waimakariri District Council by Aerial Surveys Ltd on 14 June 2023 and 17 July 2023. The dataset was generated by Aerial Surveys and their subcontractors. Data management and distribution is by Toitū Te Whenua Land Information New Zealand.", + "distribution_titles": [ + "OpenTopography Data Download Page" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/722ff395-f594-42fe-be42-f4b147178618", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/722ff395-f594-42fe-be42-f4b147178618/raw", + "has_download": false, + "has_spatial": true, + "identifier": "OT.012024.2193.2", + "keyword": [ + "Canterbury", + "aerial surveys", + "linz", + "new zealand", + "south island" + ], + "last_harvested_date": "2026-09-24T21:06:24.780098", + "organization": { + "aliases": [ + "" + ], + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "a2ea361e-1350-4df1-8d61-4c326b3394ae", + "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png", + "name": "OpenTopography", + "organization_type": "University", + "slug": "opentopography" + }, + "parent_identifier": null, + "popularity": 0, + "publisher": "OpenTopography", + "slug": "waimakariri-canterbury-new-zealand-2023-8bbb2", + "spatial_centroid": { + "lat": -43.422000000000004, + "lon": 172.31199999999998 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + 172.04, + -43.47 + ], + [ + 172.72, + -43.47 + ], + [ + 172.72, + -43.35 + ], + [ + 172.04, + -43.35 + ], + [ + 172.04, + -43.47 + ] + ] + ], + "type": "Polygon" + }, + "theme": [], + "title": "Waimakariri, Canterbury, New Zealand 2023", + "type": "dataset" + }, + { + "_score": 19.682978, + "_sort": [ + 1790283984651, + 19.682978, + 0, + "248e5850-0c83-455b-a9b0-d9ade6312325" + ], + "dcat": { + "@type": "dcat:Dataset", + "accessLevel": "public", + "bureauCode": [ + "000:00" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "OpenTopography Support", + "hasEmail": "mailto:info@opentopography.org" + }, + "description": "LiDAR was captured for Environment Canterbury Regional Council and Selywn District Council by Landpro Ltd from 24 March 2023 to 04 May 2023. The dataset was generated by Landpro and their subcontractors. Data management and distribution is by Toitū Te Whenua Land Information New Zealand.", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://doi.org/10.5069/G9W37TJS", + "mediaType": "text/html", + "title": "OpenTopography Data Download Page" + } + ], + "identifier": "OT.012024.2193.3", + "keyword": [ + "Canterbury", + "landpro", + "linz", + "new zealand", + "south island" + ], + "license": "https://creativecommons.org/licenses/by/4.0", + "modified": "2024-02-12", + "programCode": [ + "000:000" + ], + "publisher": { + "@type": "org:Organization", + "name": "OpenTopography" + }, + "spatial": "{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((171.64 -43.91, 171.64 -43.28, 172.63 -43.28, 172.63 -43.91, 171.64 -43.91))\"}", + "title": "Selwyn, Canterbury, New Zealand 2023" + }, + "description": "LiDAR was captured for Environment Canterbury Regional Council and Selywn District Council by Landpro Ltd from 24 March 2023 to 04 May 2023. The dataset was generated by Landpro and their subcontractors. Data management and distribution is by Toitū Te Whenua Land Information New Zealand.", + "distribution_titles": [ + "OpenTopography Data Download Page" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/074a6a05-fe1c-4f10-92e6-a4adfc9b9d7d", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/074a6a05-fe1c-4f10-92e6-a4adfc9b9d7d/raw", + "has_download": false, + "has_spatial": true, + "identifier": "OT.012024.2193.3", + "keyword": [ + "Canterbury", + "landpro", + "linz", + "new zealand", + "south island" + ], + "last_harvested_date": "2026-09-24T21:06:24.651002", + "organization": { + "aliases": [ + "" + ], + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "a2ea361e-1350-4df1-8d61-4c326b3394ae", + "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png", + "name": "OpenTopography", + "organization_type": "University", + "slug": "opentopography" + }, + "parent_identifier": null, + "popularity": 0, + "publisher": "OpenTopography", + "slug": "selwyn-canterbury-new-zealand-2023-98fbe", + "spatial_centroid": { + "lat": -43.658, + "lon": 172.036 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + 171.64, + -43.91 + ], + [ + 172.63, + -43.91 + ], + [ + 172.63, + -43.28 + ], + [ + 171.64, + -43.28 + ], + [ + 171.64, + -43.91 + ] + ] + ], + "type": "Polygon" + }, + "theme": [], + "title": "Selwyn, Canterbury, New Zealand 2023", + "type": "dataset" + }, + { + "_score": 20.294098, + "_sort": [ + 1790283984521, + 20.294098, + 0, + "11e16ae7-7d79-4f05-a966-a9c307f28365" + ], + "dcat": { + "@type": "dcat:Dataset", + "accessLevel": "public", + "bureauCode": [ + "000:00" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "OpenTopography Support", + "hasEmail": "mailto:info@opentopography.org" + }, + "description": "LiDAR was captured for Environment Canterbury Regional Council by Landpro Ltd from 18 February 2023 to 15 August 2023. The dataset was generated by Landpro and their subcontractors. Data management and distribution is by Toitū Te Whenua Land Information New Zealand.", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://doi.org/10.5069/G9RB72TF", + "mediaType": "text/html", + "title": "OpenTopography Data Download Page" + } + ], + "identifier": "OT.022024.2193.2", + "keyword": [ + "Canterbury", + "landpro", + "linz", + "new zealand", + "south island" + ], + "license": "https://creativecommons.org/licenses/by/4.0", + "modified": "2024-02-14", + "programCode": [ + "000:000" + ], + "publisher": { + "@type": "org:Organization", + "name": "OpenTopography" + }, + "spatial": "{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((172.36 -43.91, 172.36 -43.60, 173.13 -43.60, 173.13 -43.91, 172.36 -43.91))\"}", + "title": "Banks Peninsula, Canterbury, New Zealand 2023" + }, + "description": "LiDAR was captured for Environment Canterbury Regional Council by Landpro Ltd from 18 February 2023 to 15 August 2023. The dataset was generated by Landpro and their subcontractors. Data management and distribution is by Toitū Te Whenua Land Information New Zealand.", + "distribution_titles": [ + "OpenTopography Data Download Page" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/f4c817ce-fa2a-4b80-834d-6ae4d040193e", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/f4c817ce-fa2a-4b80-834d-6ae4d040193e/raw", + "has_download": false, + "has_spatial": true, + "identifier": "OT.022024.2193.2", + "keyword": [ + "Canterbury", + "landpro", + "linz", + "new zealand", + "south island" + ], + "last_harvested_date": "2026-09-24T21:06:24.521013", + "organization": { + "aliases": [ + "" + ], + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "a2ea361e-1350-4df1-8d61-4c326b3394ae", + "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png", + "name": "OpenTopography", + "organization_type": "University", + "slug": "opentopography" + }, + "parent_identifier": null, + "popularity": 0, + "publisher": "OpenTopography", + "slug": "banks-peninsula-canterbury-new-zealand-2023-e73e3", + "spatial_centroid": { + "lat": -43.786, + "lon": 172.668 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + 172.36, + -43.91 + ], + [ + 173.13, + -43.91 + ], + [ + 173.13, + -43.6 + ], + [ + 172.36, + -43.6 + ], + [ + 172.36, + -43.91 + ] + ] + ], + "type": "Polygon" + }, + "theme": [], + "title": "Banks Peninsula, Canterbury, New Zealand 2023", + "type": "dataset" + }, + { + "_score": 18.164392, + "_sort": [ + 1790283983963, + 18.164392, + 0, + "f87cd16f-0270-4afd-a894-dcb2c150404c" + ], + "dcat": { + "@type": "dcat:Dataset", + "accessLevel": "public", + "bureauCode": [ + "422:00" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "OpenTopography Support", + "hasEmail": "mailto:info@opentopography.org" + }, + "description": "This lidar dataset was collected as part of an NCALM Seed grant for Caroline Brisbois at the Institute of Culture & Environment, Alaska Pacific University. This dataset was collected to compare airborne laser swath mapping versus structure from motion photogrammetry for monitoring the geodetic mass balance of the Eklutna Glacier. Lidar surveys were conducted over the Eklutna Glacier, east of Anchorage, Alaska. Publications associated with this dataset can be found at NCALM's Data Tracking Center.", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://doi.org/10.5069/G92N50G8", + "mediaType": "text/html", + "title": "OpenTopography Data Download Page" + } + ], + "identifier": "OT.042024.32606.2", + "keyword": [ + "Alaska", + "Eklutna", + "NCALM", + "glaciology", + "lidar", + "mass balance" + ], + "license": "https://creativecommons.org/licenses/by/4.0", + "modified": "2024-05-07", + "programCode": [ + "000:000" + ], + "publisher": { + "@type": "org:Organization", + "name": "OpenTopography" + }, + "spatial": "{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((-149.11 61.15, -149.11 61.29, -148.74 61.29, -148.74 61.15, -149.11 61.15))\"}", + "title": "Monitoring the Mass Balance of Eklutna Glacier, AK 2023" + }, + "description": "This lidar dataset was collected as part of an NCALM Seed grant for Caroline Brisbois at the Institute of Culture & Environment, Alaska Pacific University. This dataset was collected to compare airborne laser swath mapping versus structure from motion photogrammetry for monitoring the geodetic mass balance of the Eklutna Glacier. Lidar surveys were conducted over the Eklutna Glacier, east of Anchorage, Alaska. Publications associated with this dataset can be found at NCALM's Data Tracking Center.", + "distribution_titles": [ + "OpenTopography Data Download Page" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/290a3e7f-bf04-4ab3-9e63-dd71bfd6230c", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/290a3e7f-bf04-4ab3-9e63-dd71bfd6230c/raw", + "has_download": false, + "has_spatial": true, + "identifier": "OT.042024.32606.2", + "keyword": [ + "Alaska", + "Eklutna", + "NCALM", + "glaciology", + "lidar", + "mass balance" + ], + "last_harvested_date": "2026-09-24T21:06:23.963121", + "organization": { + "aliases": [ + "" + ], + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "a2ea361e-1350-4df1-8d61-4c326b3394ae", + "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png", + "name": "OpenTopography", + "organization_type": "University", + "slug": "opentopography" + }, + "parent_identifier": null, + "popularity": 0, + "publisher": "OpenTopography", + "slug": "monitoring-the-mass-balance-of-eklutna-glacier-ak-2023-75860", + "spatial_centroid": { + "lat": 61.205999999999996, + "lon": -148.96200000000002 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + -149.11, + 61.15 + ], + [ + -148.74, + 61.15 + ], + [ + -148.74, + 61.29 + ], + [ + -149.11, + 61.29 + ], + [ + -149.11, + 61.15 + ] + ] + ], + "type": "Polygon" + }, + "theme": [], + "title": "Monitoring the Mass Balance of Eklutna Glacier, AK 2023", + "type": "dataset" + }, + { + "_score": 18.164392, + "_sort": [ + 1790283980777, + 18.164392, + 0, + "fec7facc-1079-4727-bc8f-51023a423c03" + ], + "dcat": { + "@type": "dcat:Dataset", + "accessLevel": "public", + "bureauCode": [ + "000:00" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "OpenTopography Support", + "hasEmail": "mailto:info@opentopography.org" + }, + "description": "LiDAR was captured for Regional Software Holdings Limited (RSHL) by Woolpert between 30th of April and 27th of June 2024. The project was funded by Ministry for the Environment (MFE) in response to the effects of the Auckland anniversary day flooding. This dataset is being refined by Auckland Council. Once improvements to this dataset have been completed the dataset will be updated. The datasets were generated by Woolpert and their subcontractors. Data management and distribution is by Toitū Te Whenua Land Information New Zealand.", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://doi.org/10.5069/G9HH6H8T", + "mediaType": "text/html", + "title": "OpenTopography Data Download Page" + } + ], + "identifier": "OT.042025.2193.1", + "keyword": [ + "Auckland", + "Manukau", + "New Zealand", + "Papakura", + "Pukekohe" + ], + "license": "https://creativecommons.org/licenses/by/4.0", + "modified": "2025-04-16", + "programCode": [ + "000:000" + ], + "publisher": { + "@type": "org:Organization", + "name": "OpenTopography" + }, + "spatial": "{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((174.38 -37.30, 174.38 -36.56, 175.01 -36.56, 175.01 -37.30, 174.38 -37.30))\"}", + "title": "Auckland Part 1, New Zealand 2024" + }, + "description": "LiDAR was captured for Regional Software Holdings Limited (RSHL) by Woolpert between 30th of April and 27th of June 2024. The project was funded by Ministry for the Environment (MFE) in response to the effects of the Auckland anniversary day flooding. This dataset is being refined by Auckland Council. Once improvements to this dataset have been completed the dataset will be updated. The datasets were generated by Woolpert and their subcontractors. Data management and distribution is by Toitū Te Whenua Land Information New Zealand.", + "distribution_titles": [ + "OpenTopography Data Download Page" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/37b12fef-798e-4f1a-a5c7-7b807efbc58d", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/37b12fef-798e-4f1a-a5c7-7b807efbc58d/raw", + "has_download": false, + "has_spatial": true, + "identifier": "OT.042025.2193.1", + "keyword": [ + "Auckland", + "Manukau", + "New Zealand", + "Papakura", + "Pukekohe" + ], + "last_harvested_date": "2026-09-24T21:06:20.777241", + "organization": { + "aliases": [ + "" + ], + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "a2ea361e-1350-4df1-8d61-4c326b3394ae", + "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png", + "name": "OpenTopography", + "organization_type": "University", + "slug": "opentopography" + }, + "parent_identifier": null, + "popularity": 0, + "publisher": "OpenTopography", + "slug": "auckland-part-1-new-zealand-2024-0f431", + "spatial_centroid": { + "lat": -37.004, + "lon": 174.632 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + 174.38, + -37.3 + ], + [ + 175.01, + -37.3 + ], + [ + 175.01, + -36.56 + ], + [ + 174.38, + -36.56 + ], + [ + 174.38, + -37.3 + ] + ] + ], + "type": "Polygon" + }, + "theme": [], + "title": "Auckland Part 1, New Zealand 2024", + "type": "dataset" + }, + { + "_score": 17.309898, + "_sort": [ + 1790282157016, + 17.309898, + 13, + "a91de464-1c5a-4c7f-bb63-8f8a6835fd58" ], "dcat": { "@type": "dcat:Dataset", "accessLevel": "public", "contactPoint": { "@type": "vcard:Contact", - "fn": "Charlotte NC", - "hasEmail": "mailto:gisadmins@ci.charlotte.nc.us" - }, - "description": "<p><span style='background-color:rgb(255,255,255); color:rgb(42,27,60); font-family:-apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol", "Noto Color Emoji"; 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:left; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>Post Construction Stormwater Ordinance (PCSO) Watershed Districts are the areas of land that drain all the streams and rainfall to a common outlet along a stream channel. PCSO Watershed Districts layer is based on the USGS River Basin for Mecklenburg County, with the addition of Six Mile Creek. Six Mile Creek has distinct requirements according to the Sec 18-142 Watershed Districts of the Post Construction Stormwater Ordinance of the City of Charlotte.</span></span></p>", + "fn": "Licensing and Certification Division / Licensing Branch 2 / Mental Health Licensing Section / Licensing Unit 2", + "hasEmail": "mailto:opendata@dhcs.ca.gov" + }, + "description": "This dataset contains an alphabetical list, by county, of all Mental Health Rehabilitation Centers (MHRC) and Psychiatric Health Facilities (PHF) licensed by the Department of Health Care Services (DHCS). Within DHCS, the Licensing and Certification Division (LCD), Licensing Branch 2, Mental Health Licensing (MHL) Section is responsible for assuring that quality mental health treatment and services are provided to all program participants in a safe and healthy environment through licensure and oversight of a statewide system of 24-hour psychiatric and rehabilitation care facilities.", "distribution": [ { "@type": "dcat:Distribution", - "accessURL": "https://data.charlottenc.gov/api/download/v1/items/1885cde77a9b499fbe091a05cd9663ff/csv?layers=0", + "describedBy": "https://data.ca.gov/api/action/datastore_search?resource_id=377d091b-204e-4b1c-8161-fa4ddc0e0fd7&limit=0", + "describedByType": "application/json", + "description": "County Code descriptions associated with the facility list.", + "downloadURL": "https://data.chhs.ca.gov/dataset/272b9ce1-1bcf-4bf4-8294-ab3704b79608/resource/ff6478dd-200c-4c44-a545-d32eac14e9fb/download/mhl-section-ca-county-code-list-april-2021.csv", "format": "CSV", "mediaType": "text/csv", - "title": "CSV" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://data.charlottenc.gov/api/download/v1/items/1885cde77a9b499fbe091a05cd9663ff/geojson?layers=0", - "format": "GeoJSON", - "mediaType": "application/vnd.geo+json", - "title": "GeoJSON" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://data.charlottenc.gov/api/download/v1/items/1885cde77a9b499fbe091a05cd9663ff/kml?layers=0", - "format": "KML", - "mediaType": "application/vnd.google-earth.kml+xml", - "title": "KML" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://data.charlottenc.gov/api/download/v1/items/1885cde77a9b499fbe091a05cd9663ff/shapefile?layers=0", + "title": "County Code List" + }, + { + "@type": "dcat:Distribution", + "description": "This dataset contains an alphabetical list, by county, of all Mental Health Rehabilitation Centers (MHRC) and Psychiatric Health Facilities (PHF) licensed by the Department of Health Care Services (DHCS). Within DHCS, the Licensing and Certification Division (LCD), Licensing Branch 2, Mental Health Licensing (MHL) Section is responsible for assuring that quality mental health treatment and services are provided to all program participants in a safe and healthy environment through licensure and oversight of a statewide system of 24-hour psychiatric and rehabilitation care facilities.", + "downloadURL": "https://data.chhs.ca.gov/dataset/272b9ce1-1bcf-4bf4-8294-ab3704b79608/resource/ef9f4daf-892c-45f6-b46a-3037c5a93b23/download/mhls-mhrc-phf-facilities-september-2026.csv", + "format": "CSV", + "mediaType": "text/csv", + "title": "DHCS Licensed Mental Health Rehabilitation Centers (MHRC) and Psychiatric Health Facilities (PHF)" + }, + { + "@type": "dcat:Distribution", + "downloadURL": "https://data.chhs.ca.gov/dataset/272b9ce1-1bcf-4bf4-8294-ab3704b79608/resource/b9a0ffdb-b2ff-4d1d-af43-8f9d213d71f0/download/licensed-mental-health-rehabilitation-centers-mhrc-and-psychiatric-health-facilities-phf-p7t5s6m.zip", "format": "ZIP", "mediaType": "application/zip", - "title": "Shapefile" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://data.charlottenc.gov/datasets/charlotte::pcso-watershed-districts", - "format": "Web Page", - "mediaType": "text/html", - "title": "ArcGIS Hub Dataset" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://gis.charlottenc.gov/arcgis/rest/services/STM/PCSOWatershedDistricts/MapServer/0", - "format": "ArcGIS GeoServices REST API", - "mediaType": "application/json", - "title": "ArcGIS GeoService" + "title": "All resource data" } ], - "identifier": "https://www.arcgis.com/home/item.html?id=1885cde77a9b499fbe091a05cd9663ff&sublayer=0", - "issued": "2022-01-25T01:13:57.000Z", - "keyword": [ - "Charlotte", - "Environment", - "Mecklenburg County", - "North Carolina", - "River Basins", - "Storm Water", - "Storm Water Services", - "Stormwater", - "USA" - ], - "landingPage": "https://data.charlottenc.gov/datasets/charlotte::pcso-watershed-districts", - "license": "https://creativecommons.org/licenses/by/4.0", - "modified": "2026-09-23T23:56:43.000Z", + "identifier": "3f8e3773-aaa7-4b84-ad68-ed9f434d9e15", + "issued": "2020-05-19T22:51:05.822710", + "keyword": [ + "Care", + "Centers", + "Certification", + "DHCS", + "Facilities", + "Health", + "Health Care Services Licensing", + "Licensing", + "MHRC", + "Mental", + "PHF", + "Psychiatric", + "Rehabilitation", + "Services", + "california department of health care services" + ], + "license": "http://www.opendefinition.org/licenses/cc-by", + "modified": "2026-09-11T18:44:57.473228", "publisher": { - "name": "City of Charlotte" - }, - "spatial": "-81.0584,34.9986,-80.5565,35.5232", + "@type": "org:Organization", + "name": "California Department of Health Care Services" + }, "theme": [ - "geospatial" - ], - "title": "PCSO Watershed Districts" - }, - "description": "<p><span style='background-color:rgb(255,255,255); color:rgb(42,27,60); font-family:-apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol", "Noto Color Emoji"; 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:left; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>Post Construction Stormwater Ordinance (PCSO) Watershed Districts are the areas of land that drain all the streams and rainfall to a common outlet along a stream channel. PCSO Watershed Districts layer is based on the USGS River Basin for Mecklenburg County, with the addition of Six Mile Creek. Six Mile Creek has distinct requirements according to the Sec 18-142 Watershed Districts of the Post Construction Stormwater Ordinance of the City of Charlotte.</span></span></p>", + "Health and Human Services" + ], + "title": "Licensed Mental Health Rehabilitation Centers (MHRC) and Psychiatric Health Facilities (PHF)" + }, + "description": "This dataset contains an alphabetical list, by county, of all Mental Health Rehabilitation Centers (MHRC) and Psychiatric Health Facilities (PHF) licensed by the Department of Health Care Services (DHCS). Within DHCS, the Licensing and Certification Division (LCD), Licensing Branch 2, Mental Health Licensing (MHL) Section is responsible for assuring that quality mental health treatment and services are provided to all program participants in a safe and healthy environment through licensure and oversight of a statewide system of 24-hour psychiatric and rehabilitation care facilities.", "distribution_titles": [ - "CSV", - "GeoJSON", - "KML", - "Shapefile", - "ArcGIS Hub Dataset", - "ArcGIS GeoService" - ], - "harvest_record": "https://catalog.data.gov/harvest_record/1361adb0-8e0f-4cc6-aad7-7dadc0672a26", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/1361adb0-8e0f-4cc6-aad7-7dadc0672a26/raw", - "has_download": false, - "has_spatial": true, - "identifier": "https://www.arcgis.com/home/item.html?id=1885cde77a9b499fbe091a05cd9663ff&sublayer=0", - "keyword": [ - "Charlotte", - "Environment", - "Mecklenburg County", - "North Carolina", - "River Basins", - "Storm Water", - "Storm Water Services", - "Stormwater", - "USA" - ], - "last_harvested_date": "2026-09-24T17:50:09.600422", + "County Code List", + "DHCS Licensed Mental Health Rehabilitation Centers (MHRC) and Psychiatric Health Facilities (PHF)", + "All resource data" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/1f177e6d-d21b-4917-a129-78f9c1e3c64b", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/1f177e6d-d21b-4917-a129-78f9c1e3c64b/raw", + "has_download": true, + "has_spatial": false, + "identifier": "3f8e3773-aaa7-4b84-ad68-ed9f434d9e15", + "keyword": [ + "Care", + "Centers", + "Certification", + "DHCS", + "Facilities", + "Health", + "Health Care Services Licensing", + "Licensing", + "MHRC", + "Mental", + "PHF", + "Psychiatric", + "Rehabilitation", + "Services", + "california department of health care services" + ], + "last_harvested_date": "2026-09-24T20:35:57.016641", "organization": { "aliases": [ - "north carolina" + "ca" ], "code_repo_exempt": false, "code_repo_url": null, "description": null, - "id": "771e022a-4a81-4cce-ac79-f6e04bdf76d3", - "logo": "", - "name": "City of Charlotte", - "organization_type": "City Government", - "slug": "charlotte-nc" + "id": "ae56c24b-46d3-4688-965e-94bdc208164f", + "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/state_CA.png", + "name": "State of California", + "organization_type": "State Government", + "slug": "california" }, "parent_identifier": null, - "popularity": 0, - "publisher": "City of Charlotte", - "slug": "pcso-watershed-districts", - "spatial_centroid": { - "lat": 35.20844, - "lon": -80.85764 - }, - "spatial_shape": { - "coordinates": [ - [ - [ - -81.0584, - 34.9986 - ], - [ - -81.0584, - 35.5232 - ], - [ - -80.5565, - 35.5232 - ], - [ - -80.5565, - 34.9986 - ], - [ - -81.0584, - 34.9986 - ] - ] - ], - "type": "Polygon" - }, + "popularity": 13, + "publisher": "California Department of Health Care Services", + "slug": "licensed-mental-health-rehabilitation-centers-mhrc-and-psychiatric-health-facilities-phf", + "spatial_centroid": null, + "spatial_shape": null, "theme": [ - "geospatial" - ], - "title": "PCSO Watershed Districts", + "Health and Human Services" + ], + "title": "Licensed Mental Health Rehabilitation Centers (MHRC) and Psychiatric Health Facilities (PHF)", "type": "dataset" }, { - "_score": 8.404573, + "_score": 7.3326435, "_sort": [ - 1790272199505, - 8.404573, - 0, - "bf6c6b39-50e3-4dd2-ae3f-d46ea738eab2" + 1790282155060, + 7.3326435, + 4, + "b712f408-9e35-42b4-974c-02db10844d04" ], "dcat": { "@type": "dcat:Dataset", "accessLevel": "public", "contactPoint": { "@type": "vcard:Contact", - "fn": "Charlotte NC", - "hasEmail": "mailto:gisadmins@ci.charlotte.nc.us" - }, - "description": "Shows the locations of the areas selected for the Comprehensive Neighborhood Improvement Program.", + "fn": "BIOS_Admin", + "hasEmail": "mailto:geodata@wildlife.ca.gov" + }, + "description": "<div style='text-align:Left;'><div><div><p><span>PROPOSITION 1 GRANTS </span></p><p><span>The Water Quality, Supply, and Infrastructure Improvement Act of 2014 (Proposition 1) provides funding to implement the three broad objectives of the California Water Action Plan: more reliable water supplies; the restoration of important species and habitat; and a more resilient, sustainably managed water resources system (water supply, water quality, flood protection, and environment). </span></p><p><span /></p><p><span>PROPOSITION 68 GRANTS </span></p><p><span>The California Drought, Water, Parks, Climate, Coastal Protection, And Outdoor Access For All Act Of 2018 (Proposition 68) provides funding for CDFW grants for projects that: 1) improve a community's ability to adapt to the unavoidable impacts of climate change; 2) improve and protect coastal and rural economies, agricultural viability, wildlife corridors, or habitat; and/or 3) develop future recreational opportunities, or enhance drought tolerance, landscape resilience, and water retention. </span></p><p><span /></p><p><span>GREENHOUSE GAS REDUCTION FUND GRANTS </span></p><p><span>Greenhouse Gas Reduction Projects are funded under California's Cap and Trade Program's Greenhouse Gas Reduction Fund (GGRF). These projects include mountain meadow and Sacramento-San Joaquin Delta wetland restoration projects that will lead to reductions in greenhouse gases. </span></p><p><span /></p><p><span>RESTORATION GRANTS PROGRAM </span></p><p><span>This program funds projects based on their suitability for each grant, not based on specific grant applications. It began in 2022 and accepts applications on an ongoing basis, giving out grants on a monthly cycle. As of 2023, the available grants are: Drought - Protecting Salmon, Addressing Climate Impacts, Wetlands and Mountain Meadow Restoration, Wildlife Corridors, Proposition 1, and Proposition 68. </span></p><p><span /></p><p><span>FISHERIES RESTORATION GRANT PROGRAM GRANTS </span></p><p><span>The Fisheries Restoration Grant Program (FRGP) was established in 1981 in response to rapidly declining populations of wild salmon and steelhead trout and deteriorating fish habitat in California. This competitive grant program has invested millions of dollars to support projects from sediment reduction to watershed education throughout coastal California. Contributing partners include federal and local governments, tribes, water districts, fisheries organizations, watershed restoration groups, the California Conservation Corps, AmeriCorps, and private landowners. FRGP’s database began in 1999 to capture and maintain data about habitat restoration projects in California benefiting anadromous fish. The FRGP specific data is managed by the California Department of Fish and Wildlife (CDFW) and funded by NOAA Fisheries and CDFW. </span></p><p><span /></p><p><span>DATA OVERVIEW </span></p><p><span>This data set contains points provided by the grantees representing the approximate location of the projects approved by the California Department of Wildlife's Watershed Restoration Grants Branch for funding under these grants through 2025. In some cases, the points represent small, discrete sites, but in many they represent larger areas such as regions, watersheds, or stream reaches. In a few cases the points are a laboratory site in which research will be/has been conducted. An attempt has been made to assess the point extent, but this was done by CDFW personnel based on the grant title and description, not the grantee. </span></p></div></div></div>", "distribution": [ { "@type": "dcat:Distribution", - "accessURL": "https://data.charlottenc.gov/api/download/v1/items/2f617f9dd0184b359543eeeabd6143b0/csv?layers=26", + "accessURL": "https://data-cdfw.opendata.arcgis.com/datasets/CDFW::watershed-restoration-grant-awards-cdfw-ds2663", + "format": "HTML", + "title": "ArcGIS Hub Dataset" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://wildlife.ca.gov/Data/BIOS", + "title": "BIOS Homepage" + }, + { + "@type": "dcat:Distribution", + "describedBy": "https://data.ca.gov/api/action/datastore_search?resource_id=ca34d299-c551-4388-95e8-f0603341bf99&limit=0", + "describedByType": "application/json", + "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/03cbdb1f521c4d9380f69ac2672bb64c/csv?layers=0", "format": "CSV", "mediaType": "text/csv", "title": "CSV" }, { "@type": "dcat:Distribution", - "accessURL": "https://data.charlottenc.gov/api/download/v1/items/2f617f9dd0184b359543eeeabd6143b0/geojson?layers=26", + "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/03cbdb1f521c4d9380f69ac2672bb64c/geojson?layers=0", "format": "GeoJSON", - "mediaType": "application/vnd.geo+json", + "mediaType": "application/geo+json", "title": "GeoJSON" }, { "@type": "dcat:Distribution", - "accessURL": "https://data.charlottenc.gov/api/download/v1/items/2f617f9dd0184b359543eeeabd6143b0/kml?layers=26", + "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/03cbdb1f521c4d9380f69ac2672bb64c/kml?layers=0", "format": "KML", "mediaType": "application/vnd.google-earth.kml+xml", "title": "KML" }, { "@type": "dcat:Distribution", - "accessURL": "https://data.charlottenc.gov/api/download/v1/items/2f617f9dd0184b359543eeeabd6143b0/shapefile?layers=26", + "downloadURL": "https://data-cdfw.opendata.arcgis.com/api/download/v1/items/03cbdb1f521c4d9380f69ac2672bb64c/shapefile?layers=0", "format": "ZIP", "mediaType": "application/zip", "title": "Shapefile" }, { "@type": "dcat:Distribution", - "accessURL": "https://data.charlottenc.gov/datasets/charlotte::cnip-boundaries", - "format": "Web Page", - "mediaType": "text/html", - "title": "ArcGIS Hub Dataset" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://gis.charlottenc.gov/arcgis/rest/services/CIP/CapitalImprovementProjectsService/MapServer/26", + "downloadURL": "https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/2600_2699/ds2663.zip", + "format": "ZIP", + "mediaType": "application/zip", + "title": "Source download (File Geodatabase)" + }, + { + "@type": "dcat:Distribution", + "downloadURL": "https://services2.arcgis.com/Uq9r85Potqm3MfRV/arcgis/rest/services/biosds2663_fmu/FeatureServer/0", "format": "ArcGIS GeoServices REST API", - "mediaType": "application/json", + "mediaType": "application/octet-stream", "title": "ArcGIS GeoService" } ], - "identifier": "https://www.arcgis.com/home/item.html?id=2f617f9dd0184b359543eeeabd6143b0&sublayer=26", - "issued": "2022-04-04T14:13:45.000Z", - "keyword": [ - "CIP", - "Capital Improvement", - "Charlotte", - "Communities", - "Community Investment Program", - "Community Safety", - "Comprehensive Neighborhood Improvement Program", - "Economic Development", - "Environment", - "Housing & Neighborhoods", - "Infrastructure", - "Mecklenburg County", - "Neighborhoods", - "North Carolina", - "Transportation", - "USA" - ], - "landingPage": "https://data.charlottenc.gov/datasets/charlotte::cnip-boundaries", - "license": "https://creativecommons.org/licenses/by/4.0", - "modified": "2026-09-23T23:51:38.000Z", + "identifier": "2a69855c-ca94-48d1-a812-7f3d8bb328ac", + "issued": "2022-02-02T17:00:32.000Z", + "keyword": [ + "Auth_CDFW", + "CAOpenData", + "CDFW", + "California Department of Fish And Wildlife", + "California Department of Fish and Wildlife", + "California Natural Resources Agency", + "DS2663_20260915_wm", + "Delta", + "Proposition 1", + "WRGB", + "Watershed Restoration Grant Program", + "Watershed Restoration Grants Branch", + "acquisition", + "california department of fish and wildlife", + "implementation", + "meadows", + "planning", + "restoration" + ], + "license": "http://www.opendefinition.org/licenses/cc-by", + "modified": "2026-09-15T00:00:00.000Z", "publisher": { - "name": "City of Charlotte" - }, - "spatial": "-81.0027,35.1277,-80.7205,35.4009", + "@type": "org:Organization", + "name": "California Department of Fish and Wildlife" + }, "theme": [ - "geospatial" - ], - "title": "CNIP Boundaries" - }, - "description": "Shows the locations of the areas selected for the Comprehensive Neighborhood Improvement Program.", + "Natural Resources" + ], + "title": "Watershed Restoration Grant Awards - CDFW [ds2663]" + }, + "description": "<div style='text-align:Left;'><div><div><p><span>PROPOSITION 1 GRANTS </span></p><p><span>The Water Quality, Supply, and Infrastructure Improvement Act of 2014 (Proposition 1) provides funding to implement the three broad objectives of the California Water Action Plan: more reliable water supplies; the restoration of important species and habitat; and a more resilient, sustainably managed water resources system (water supply, water quality, flood protection, and environment). </span></p><p><span /></p><p><span>PROPOSITION 68 GRANTS </span></p><p><span>The California Drought, Water, Parks, Climate, Coastal Protection, And Outdoor Access For All Act Of 2018 (Proposition 68) provides funding for CDFW grants for projects that: 1) improve a community's ability to adapt to the unavoidable impacts of climate change; 2) improve and protect coastal and rural economies, agricultural viability, wildlife corridors, or habitat; and/or 3) develop future recreational opportunities, or enhance drought tolerance, landscape resilience, and water retention. </span></p><p><span /></p><p><span>GREENHOUSE GAS REDUCTION FUND GRANTS </span></p><p><span>Greenhouse Gas Reduction Projects are funded under California's Cap and Trade Program's Greenhouse Gas Reduction Fund (GGRF). These projects include mountain meadow and Sacramento-San Joaquin Delta wetland restoration projects that will lead to reductions in greenhouse gases. </span></p><p><span /></p><p><span>RESTORATION GRANTS PROGRAM </span></p><p><span>This program funds projects based on their suitability for each grant, not based on specific grant applications. It began in 2022 and accepts applications on an ongoing basis, giving out grants on a monthly cycle. As of 2023, the available grants are: Drought - Protecting Salmon, Addressing Climate Impacts, Wetlands and Mountain Meadow Restoration, Wildlife Corridors, Proposition 1, and Proposition 68. </span></p><p><span /></p><p><span>FISHERIES RESTORATION GRANT PROGRAM GRANTS </span></p><p><span>The Fisheries Restoration Grant Program (FRGP) was established in 1981 in response to rapidly declining populations of wild salmon and steelhead trout and deteriorating fish habitat in California. This competitive grant program has invested millions of dollars to support projects from sediment reduction to watershed education throughout coastal California. Contributing partners include federal and local governments, tribes, water districts, fisheries organizations, watershed restoration groups, the California Conservation Corps, AmeriCorps, and private landowners. FRGP’s database began in 1999 to capture and maintain data about habitat restoration projects in California benefiting anadromous fish. The FRGP specific data is managed by the California Department of Fish and Wildlife (CDFW) and funded by NOAA Fisheries and CDFW. </span></p><p><span /></p><p><span>DATA OVERVIEW </span></p><p><span>This data set contains points provided by the grantees representing the approximate location of the projects approved by the California Department of Wildlife's Watershed Restoration Grants Branch for funding under these grants through 2025. In some cases, the points represent small, discrete sites, but in many they represent larger areas such as regions, watersheds, or stream reaches. In a few cases the points are a laboratory site in which research will be/has been conducted. An attempt has been made to assess the point extent, but this was done by CDFW personnel based on the grant title and description, not the grantee. </span></p></div></div></div>", "distribution_titles": [ + "ArcGIS Hub Dataset", + "BIOS Homepage", "CSV", "GeoJSON", "KML", "Shapefile", - "ArcGIS Hub Dataset", + "Source download (File Geodatabase)", "ArcGIS GeoService" ], - "harvest_record": "https://catalog.data.gov/harvest_record/8a8edee1-48dc-4e7f-b065-13805aeb50e1", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/8a8edee1-48dc-4e7f-b065-13805aeb50e1/raw", - "has_download": false, - "has_spatial": true, - "identifier": "https://www.arcgis.com/home/item.html?id=2f617f9dd0184b359543eeeabd6143b0&sublayer=26", - "keyword": [ - "CIP", - "Capital Improvement", - "Charlotte", - "Communities", - "Community Investment Program", - "Community Safety", - "Comprehensive Neighborhood Improvement Program", - "Economic Development", - "Environment", - "Housing & Neighborhoods", - "Infrastructure", - "Mecklenburg County", - "Neighborhoods", - "North Carolina", - "Transportation", - "USA" - ], - "last_harvested_date": "2026-09-24T17:49:59.505901", + "harvest_record": "https://catalog.data.gov/harvest_record/13de8337-756f-4509-8d9c-4c2554fe81a2", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/13de8337-756f-4509-8d9c-4c2554fe81a2/raw", + "has_download": true, + "has_spatial": false, + "identifier": "2a69855c-ca94-48d1-a812-7f3d8bb328ac", + "keyword": [ + "Auth_CDFW", + "CAOpenData", + "CDFW", + "California Department of Fish And Wildlife", + "California Department of Fish and Wildlife", + "California Natural Resources Agency", + "DS2663_20260915_wm", + "Delta", + "Proposition 1", + "WRGB", + "Watershed Restoration Grant Program", + "Watershed Restoration Grants Branch", + "acquisition", + "california department of fish and wildlife", + "implementation", + "meadows", + "planning", + "restoration" + ], + "last_harvested_date": "2026-09-24T20:35:55.060066", "organization": { "aliases": [ - "north carolina" + "ca" ], "code_repo_exempt": false, "code_repo_url": null, "description": null, - "id": "771e022a-4a81-4cce-ac79-f6e04bdf76d3", - "logo": "", - "name": "City of Charlotte", - "organization_type": "City Government", - "slug": "charlotte-nc" + "id": "ae56c24b-46d3-4688-965e-94bdc208164f", + "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/state_CA.png", + "name": "State of California", + "organization_type": "State Government", + "slug": "california" }, "parent_identifier": null, - "popularity": 0, - "publisher": "City of Charlotte", - "slug": "cnip-boundaries", - "spatial_centroid": { - "lat": 35.23698, - "lon": -80.88982000000001 - }, - "spatial_shape": { - "coordinates": [ - [ - [ - -81.0027, - 35.1277 - ], - [ - -81.0027, - 35.4009 - ], - [ - -80.7205, - 35.4009 - ], - [ - -80.7205, - 35.1277 - ], - [ - -81.0027, - 35.1277 - ] - ] - ], - "type": "Polygon" - }, + "popularity": 4, + "publisher": "California Department of Fish and Wildlife", + "slug": "watershed-restoration-grant-awards-cdfw-ds2663", + "spatial_centroid": null, + "spatial_shape": null, "theme": [ - "geospatial" - ], - "title": "CNIP Boundaries", + "Natural Resources" + ], + "title": "Watershed Restoration Grant Awards - CDFW [ds2663]", "type": "dataset" }, { - "_score": 17.655624, + "_score": 14.601931, "_sort": [ - 1790272194890, - 17.655624, + 1790282152510, + 14.601931, 0, - "2db3241c-99b4-486e-8de5-242840d58070" + "1966366f-7167-4cb1-98f8-edb0b6a8a582" ], "dcat": { "@type": "dcat:Dataset", "accessLevel": "public", "contactPoint": { "@type": "vcard:Contact", - "fn": "Charlotte NC", - "hasEmail": "mailto:gisadmins@ci.charlotte.nc.us" - }, - "description": "<div style='text-align:Left;'><div><p><span>The Board's major responsibilities include adopting the annual County budget, setting the County property tax rate, and assessing and establishing priorities on the many community needs, especially those related to health, education, welfare, mental health and the environment. The Board also makes appointments to citizen advisory committees. Precincts are split periodically when the number of registered voters in a precinct reached approximately 3500.</span></p></div></div>", + "fn": "BIOS_Admin", + "hasEmail": "mailto:geodata@wildlife.ca.gov" + }, + "description": "<div style='text-align:Left;'><div><div><p><span>CWHR Predicted Habitat Models represent areas of predicted suitable habitat for each species within its range. These models are built from the following principal inputs: </span></p><p><span>1) a statewide, best-available vegetation map (FVEG); </span></p><p><span>2) GIS data representing a species’ range; </span></p><p><span>3) the CWHR database of habitat suitability values for over 700 terrestrial vertebrate species. </span></p><p><span>Habitat suitability ranks of Low (non-zero values less than 0.34), Medium (0.34-0.66), and High (greater than 0.66) are based on the maximum suitability value across the 3 species life requisites: reproduction, feeding, and cover. Note that previous versions of these Predicted Habitat Models used an average across the 3 life requisites in order to obtain an overall suitability score for each habitat type and stage class. Habitat suitability scores were developed based on habitat patch sizes greater than 40 acres in size and are best interpreted for habitat patches greater than 200 acres in size. The FVEG landcover dataset is an aggregation of multiple statewide landcover and regional vegetation mapping efforts, conducted at different points in time (approximately 1990 up to time of publishing) and at various resolutions, compiled by the California Department of Forestry and Fire Protection (CALFIRE). FVEG uses the most current and consistent data available for each region of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Crosswalks were used to attribute the various data sources according to the CWHR habitat-type classification system. Attributing FVEG with CWHR habitat types allows for the extraction of areas with non-zero suitability values for each species within the bounds of its range, creating a series of maps of predicted suitable habitat which are species-specific. Because FVEG is an amalgam of disparate landcover assessment efforts across the state, the predictive power for determining suitable habitat will vary between species, and possibly even regionally for species which are widely distributed. While these maps represent CDFW’s best estimate of the presence of suitable habitat for any given species in the CWHR system, these maps are also limited by several factors: 1) the accuracy and resolution of vegetation maps in a given region; 2) the dynamic nature of the landscape in which fire and other disturbance events alter conditions at a greater frequency than mapping efforts can track; 3) the currency of expert knowledge, particularly as species adapt to changing land and climate conditions and the shifting of other species’ ranges; 4) the frequency of species-specific surveys across a representative sample of a species’ entire range; 5) metapopulation dynamics, which describes the shifting of populations within their environment as result of numerous types of interactions and responses. </span></p><p><span>CWHR GIS data representing predicted suitable habitat should not be used to indicate the presence or absence of a particular species at any specific site. CWHR predicted habitat models are named according to the 4-character alpha-numeric CWHR ID assigned to each species (5 characters in the case of subspecies or other sub-taxa). There is also a “CWHR Revision Tracking Table” containing a record for each species, its CWHR ID, scientific name, common name, and range and habitat model data revision history. CWHR species range models, predicted habitat models, and GIS data of the statewide distribution of all CWHR habitat types, along with the CWHR revision tracking table, are available for download at </span><a href='https://www.wildlife.ca.gov/Data/CWHR' target='_blank' style='text-decoration:underline;' rel='nofollow ugc noopener noreferrer'><span>https://www.wildlife.ca.gov/Data/CWHR</span></a><span>. </span></p></div></div></div>", "distribution": [ { "@type": "dcat:Distribution", - "accessURL": "https://data.charlottenc.gov/api/download/v1/items/6885ac8a10f14be5b99d214b5a73b3f7/csv?layers=0", - "format": "CSV", - "mediaType": "text/csv", - "title": "CSV" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://data.charlottenc.gov/api/download/v1/items/6885ac8a10f14be5b99d214b5a73b3f7/geojson?layers=0", - "format": "GeoJSON", - "mediaType": "application/vnd.geo+json", - "title": "GeoJSON" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://data.charlottenc.gov/api/download/v1/items/6885ac8a10f14be5b99d214b5a73b3f7/kml?layers=0", - "format": "KML", - "mediaType": "application/vnd.google-earth.kml+xml", - "title": "KML" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://data.charlottenc.gov/api/download/v1/items/6885ac8a10f14be5b99d214b5a73b3f7/shapefile?layers=0", + "accessURL": "https://data-cdfw.opendata.arcgis.com/content/CDFW::red-knot-predicted-habitat-cwhr-b180-ds2133", + "format": "HTML", + "title": "ArcGIS Hub Dataset" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://wildlife.ca.gov/Data/BIOS", + "title": "BIOS Homepage" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://wildlife.ca.gov/Data/CWHR", + "title": "CWHR Homepage" + }, + { + "@type": "dcat:Distribution", + "downloadURL": "https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/2100_2199/ds2133.zip", "format": "ZIP", "mediaType": "application/zip", - "title": "Shapefile" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://data.charlottenc.gov/datasets/charlotte::county-commissioner-districts", - "format": "Web Page", - "mediaType": "text/html", - "title": "ArcGIS Hub Dataset" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://meckgis.mecklenburgcountync.gov/server/rest/services/MecklenburgCountyCommissionerDistricts/MapServer/0", + "title": "Source download (File Geodatabase)" + }, + { + "@type": "dcat:Distribution", + "downloadURL": "https://tiledimageservices2.arcgis.com/Uq9r85Potqm3MfRV/arcgis/rest/services/biosds2133_cru/ImageServer", "format": "ArcGIS GeoServices REST API", - "mediaType": "application/json", + "mediaType": "application/octet-stream", "title": "ArcGIS GeoService" } ], - "identifier": "https://www.arcgis.com/home/item.html?id=6885ac8a10f14be5b99d214b5a73b3f7&sublayer=0", - "issued": "2022-01-23T23:30:42.000Z", - "keyword": [ - "Charlotte", - "Commission", - "County", - "Districts", - "Mecklenburg County", - "North Carolina", - "Political Boundary", - "USA" - ], - "landingPage": "https://data.charlottenc.gov/datasets/charlotte::county-commissioner-districts", - "license": "https://creativecommons.org/licenses/by/4.0", - "modified": "2026-09-23T23:52:24.000Z", + "identifier": "f4871a9a-7d67-409f-9600-394b9d7d1fca", + "issued": "2026-09-17T15:41:51.000Z", + "keyword": [ + "Auth_CDFW", + "CAOpenData", + "CDFW", + "CWHR", + "CWHR Predicted Habitat Map", + "Calidris canutus", + "California", + "California Department of Fish And Wildlife", + "California Natural Resources Agency", + "DS2133_20251117_wm", + "RADMAP", + "biota", + "bird", + "california department of fish and wildlife", + "environment", + "habitat", + "natural resources", + "red knot", + "species", + "wildlife" + ], + "license": "http://www.opendefinition.org/licenses/cc-by", + "modified": "2026-09-17T16:18:10.000Z", "publisher": { - "name": "City of Charlotte" - }, - "spatial": "-81.0565,34.9982,-80.5563,35.5198", + "@type": "org:Organization", + "name": "California Department of Fish and Wildlife" + }, "theme": [ - "geospatial" - ], - "title": "County Commissioner Districts" - }, - "description": "<div style='text-align:Left;'><div><p><span>The Board's major responsibilities include adopting the annual County budget, setting the County property tax rate, and assessing and establishing priorities on the many community needs, especially those related to health, education, welfare, mental health and the environment. The Board also makes appointments to citizen advisory committees. Precincts are split periodically when the number of registered voters in a precinct reached approximately 3500.</span></p></div></div>", + "Natural Resources" + ], + "title": "Red Knot Predicted Habitat - CWHR B180 [ds2133]" + }, + "description": "<div style='text-align:Left;'><div><div><p><span>CWHR Predicted Habitat Models represent areas of predicted suitable habitat for each species within its range. These models are built from the following principal inputs: </span></p><p><span>1) a statewide, best-available vegetation map (FVEG); </span></p><p><span>2) GIS data representing a species’ range; </span></p><p><span>3) the CWHR database of habitat suitability values for over 700 terrestrial vertebrate species. </span></p><p><span>Habitat suitability ranks of Low (non-zero values less than 0.34), Medium (0.34-0.66), and High (greater than 0.66) are based on the maximum suitability value across the 3 species life requisites: reproduction, feeding, and cover. Note that previous versions of these Predicted Habitat Models used an average across the 3 life requisites in order to obtain an overall suitability score for each habitat type and stage class. Habitat suitability scores were developed based on habitat patch sizes greater than 40 acres in size and are best interpreted for habitat patches greater than 200 acres in size. The FVEG landcover dataset is an aggregation of multiple statewide landcover and regional vegetation mapping efforts, conducted at different points in time (approximately 1990 up to time of publishing) and at various resolutions, compiled by the California Department of Forestry and Fire Protection (CALFIRE). FVEG uses the most current and consistent data available for each region of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Crosswalks were used to attribute the various data sources according to the CWHR habitat-type classification system. Attributing FVEG with CWHR habitat types allows for the extraction of areas with non-zero suitability values for each species within the bounds of its range, creating a series of maps of predicted suitable habitat which are species-specific. Because FVEG is an amalgam of disparate landcover assessment efforts across the state, the predictive power for determining suitable habitat will vary between species, and possibly even regionally for species which are widely distributed. While these maps represent CDFW’s best estimate of the presence of suitable habitat for any given species in the CWHR system, these maps are also limited by several factors: 1) the accuracy and resolution of vegetation maps in a given region; 2) the dynamic nature of the landscape in which fire and other disturbance events alter conditions at a greater frequency than mapping efforts can track; 3) the currency of expert knowledge, particularly as species adapt to changing land and climate conditions and the shifting of other species’ ranges; 4) the frequency of species-specific surveys across a representative sample of a species’ entire range; 5) metapopulation dynamics, which describes the shifting of populations within their environment as result of numerous types of interactions and responses. </span></p><p><span>CWHR GIS data representing predicted suitable habitat should not be used to indicate the presence or absence of a particular species at any specific site. CWHR predicted habitat models are named according to the 4-character alpha-numeric CWHR ID assigned to each species (5 characters in the case of subspecies or other sub-taxa). There is also a “CWHR Revision Tracking Table” containing a record for each species, its CWHR ID, scientific name, common name, and range and habitat model data revision history. CWHR species range models, predicted habitat models, and GIS data of the statewide distribution of all CWHR habitat types, along with the CWHR revision tracking table, are available for download at </span><a href='https://www.wildlife.ca.gov/Data/CWHR' target='_blank' style='text-decoration:underline;' rel='nofollow ugc noopener noreferrer'><span>https://www.wildlife.ca.gov/Data/CWHR</span></a><span>. </span></p></div></div></div>", "distribution_titles": [ - "CSV", - "GeoJSON", - "KML", - "Shapefile", "ArcGIS Hub Dataset", + "BIOS Homepage", + "CWHR Homepage", + "Source download (File Geodatabase)", "ArcGIS GeoService" ], - "harvest_record": "https://catalog.data.gov/harvest_record/ba3112c5-44ea-4d03-a614-db3c7eebffa2", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/ba3112c5-44ea-4d03-a614-db3c7eebffa2/raw", - "has_download": false, - "has_spatial": true, - "identifier": "https://www.arcgis.com/home/item.html?id=6885ac8a10f14be5b99d214b5a73b3f7&sublayer=0", - "keyword": [ - "Charlotte", - "Commission", - "County", - "Districts", - "Mecklenburg County", - "North Carolina", - "Political Boundary", - "USA" - ], - "last_harvested_date": "2026-09-24T17:49:54.890106", + "harvest_record": "https://catalog.data.gov/harvest_record/4ca103e1-2b25-4545-81b9-3422717ac9f1", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/4ca103e1-2b25-4545-81b9-3422717ac9f1/raw", + "has_download": true, + "has_spatial": false, + "identifier": "f4871a9a-7d67-409f-9600-394b9d7d1fca", + "keyword": [ + "Auth_CDFW", + "CAOpenData", + "CDFW", + "CWHR", + "CWHR Predicted Habitat Map", + "Calidris canutus", + "California", + "California Department of Fish And Wildlife", + "California Natural Resources Agency", + "DS2133_20251117_wm", + "RADMAP", + "biota", + "bird", + "california department of fish and wildlife", + "environment", + "habitat", + "natural resources", + "red knot", + "species", + "wildlife" + ], + "last_harvested_date": "2026-09-24T20:35:52.510902", "organization": { "aliases": [ - "north carolina" + "ca" ], "code_repo_exempt": false, "code_repo_url": null, "description": null, - "id": "771e022a-4a81-4cce-ac79-f6e04bdf76d3", - "logo": "", - "name": "City of Charlotte", - "organization_type": "City Government", - "slug": "charlotte-nc" + "id": "ae56c24b-46d3-4688-965e-94bdc208164f", + "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/state_CA.png", + "name": "State of California", + "organization_type": "State Government", + "slug": "california" }, "parent_identifier": null, "popularity": 0, - "publisher": "City of Charlotte", - "slug": "county-commissioner-districts", - "spatial_centroid": { - "lat": 35.20684, - "lon": -80.85642 - }, - "spatial_shape": { - "coordinates": [ - [ - [ - -81.0565, - 34.9982 - ], - [ - -81.0565, - 35.5198 - ], - [ - -80.5563, - 35.5198 - ], - [ - -80.5563, - 34.9982 - ], - [ - -81.0565, - 34.9982 - ] - ] - ], - "type": "Polygon" - }, + "publisher": "California Department of Fish and Wildlife", + "slug": "red-knot-predicted-habitat-cwhr-b180-ds2133", + "spatial_centroid": null, + "spatial_shape": null, "theme": [ - "geospatial" - ], - "title": "County Commissioner Districts", + "Natural Resources" + ], + "title": "Red Knot Predicted Habitat - CWHR B180 [ds2133]", "type": "dataset" }, { - "_score": 9.733761, + "_score": 14.43568, "_sort": [ - 1790272194274, - 9.733761, - 4, - "15dcc467-0156-45d1-8882-be1625081a44" + 1790282152360, + 14.43568, + 0, + "a45878aa-de12-490b-beca-cbbe8752ab8c" ], "dcat": { "@type": "dcat:Dataset", "accessLevel": "public", "contactPoint": { "@type": "vcard:Contact", - "fn": "Charlotte NC", - "hasEmail": "mailto:gisadmins@ci.charlotte.nc.us" - }, - "description": "<p><span style='background-color:rgb(255,255,255); color:rgb(20,20,20); font-family:"Avenir Next", Avenir, "Helvetica Neue", 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;'>Cross sections are vector features seen on a floodplain map to indicate sections of the stream and floodplain where known discharges and water surface elevations have been calculated. Floodplain boundaries are determined by creating vertices where water surface elevations indicated by the cross sections are equal to the modeled ground surface. In between cross sections, additional vertices are drawn for water surface elevations that are derived via interpolation based upon the distance from the bounding cross sections upstream and downstream of a given point.</span></span></p>", + "fn": "BIOS_Admin", + "hasEmail": "mailto:geodata@wildlife.ca.gov" + }, + "description": "<div style='text-align:Left;'><div><div><p><span>CWHR Predicted Habitat Models represent areas of predicted suitable habitat for each species within its range. These models are built from the following principal inputs: </span></p><p><span>1) a statewide, best-available vegetation map (FVEG); </span></p><p><span>2) GIS data representing a species’ range; </span></p><p><span>3) the CWHR database of habitat suitability values for over 700 terrestrial vertebrate species. </span></p><p><span>Habitat suitability ranks of Low (non-zero values less than 0.34), Medium (0.34-0.66), and High (greater than 0.66) are based on the maximum suitability value across the 3 species life requisites: reproduction, feeding, and cover. Note that previous versions of these Predicted Habitat Models used an average across the 3 life requisites in order to obtain an overall suitability score for each habitat type and stage class. Habitat suitability scores were developed based on habitat patch sizes greater than 40 acres in size and are best interpreted for habitat patches greater than 200 acres in size. The FVEG landcover dataset is an aggregation of multiple statewide landcover and regional vegetation mapping efforts, conducted at different points in time (approximately 1990 up to time of publishing) and at various resolutions, compiled by the California Department of Forestry and Fire Protection (CALFIRE). FVEG uses the most current and consistent data available for each region of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Crosswalks were used to attribute the various data sources according to the CWHR habitat-type classification system. Attributing FVEG with CWHR habitat types allows for the extraction of areas with non-zero suitability values for each species within the bounds of its range, creating a series of maps of predicted suitable habitat which are species-specific. Because FVEG is an amalgam of disparate landcover assessment efforts across the state, the predictive power for determining suitable habitat will vary between species, and possibly even regionally for species which are widely distributed. While these maps represent CDFW’s best estimate of the presence of suitable habitat for any given species in the CWHR system, these maps are also limited by several factors: 1) the accuracy and resolution of vegetation maps in a given region; 2) the dynamic nature of the landscape in which fire and other disturbance events alter conditions at a greater frequency than mapping efforts can track; 3) the currency of expert knowledge, particularly as species adapt to changing land and climate conditions and the shifting of other species’ ranges; 4) the frequency of species-specific surveys across a representative sample of a species’ entire range; 5) metapopulation dynamics, which describes the shifting of populations within their environment as result of numerous types of interactions and responses. </span></p><p><span>CWHR GIS data representing predicted suitable habitat should not be used to indicate the presence or absence of a particular species at any specific site. CWHR predicted habitat models are named according to the 4-character alpha-numeric CWHR ID assigned to each species (5 characters in the case of subspecies or other sub-taxa). There is also a “CWHR Revision Tracking Table” containing a record for each species, its CWHR ID, scientific name, common name, and range and habitat model data revision history. CWHR species range models, predicted habitat models, and GIS data of the statewide distribution of all CWHR habitat types, along with the CWHR revision tracking table, are available for download at </span><a href='https://www.wildlife.ca.gov/Data/CWHR' target='_blank' style='text-decoration:underline;' rel='nofollow ugc noopener noreferrer'><span>https://www.wildlife.ca.gov/Data/CWHR</span></a><span>. </span></p></div></div></div>", "distribution": [ { "@type": "dcat:Distribution", - "accessURL": "https://data.charlottenc.gov/api/download/v1/items/823fe1ea74004c589fd7fb28fe9f3818/csv?layers=0", - "format": "CSV", - "mediaType": "text/csv", - "title": "CSV" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://data.charlottenc.gov/api/download/v1/items/823fe1ea74004c589fd7fb28fe9f3818/geojson?layers=0", - "format": "GeoJSON", - "mediaType": "application/vnd.geo+json", - "title": "GeoJSON" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://data.charlottenc.gov/api/download/v1/items/823fe1ea74004c589fd7fb28fe9f3818/kml?layers=0", - "format": "KML", - "mediaType": "application/vnd.google-earth.kml+xml", - "title": "KML" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://data.charlottenc.gov/api/download/v1/items/823fe1ea74004c589fd7fb28fe9f3818/shapefile?layers=0", + "accessURL": "https://data-cdfw.opendata.arcgis.com/content/CDFW::sanderling-predicted-habitat-cwhr-b181-ds2134", + "format": "HTML", + "title": "ArcGIS Hub Dataset" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://wildlife.ca.gov/Data/BIOS", + "title": "BIOS Homepage" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://wildlife.ca.gov/Data/CWHR", + "title": "CWHR Homepage" + }, + { + "@type": "dcat:Distribution", + "downloadURL": "https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/2100_2199/ds2134.zip", "format": "ZIP", "mediaType": "application/zip", - "title": "Shapefile" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://data.charlottenc.gov/datasets/charlotte::cross-sections", - "format": "Web Page", - "mediaType": "text/html", - "title": "ArcGIS Hub Dataset" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://meckgis.mecklenburgcountync.gov/server/rest/services/FloodplainCrossSections/MapServer/0", + "title": "Source download (File Geodatabase)" + }, + { + "@type": "dcat:Distribution", + "downloadURL": "https://tiledimageservices2.arcgis.com/Uq9r85Potqm3MfRV/arcgis/rest/services/biosds2134_cru/ImageServer", "format": "ArcGIS GeoServices REST API", - "mediaType": "application/json", + "mediaType": "application/octet-stream", "title": "ArcGIS GeoService" } ], - "identifier": "https://www.arcgis.com/home/item.html?id=823fe1ea74004c589fd7fb28fe9f3818&sublayer=0", - "issued": "2022-01-25T01:09:29.000Z", - "keyword": [ - "Charlotte", - "Charmeck", - "Cross Section", - "Environment", - "FEMA", - "Floodplain", - "Mecklenburg County", - "Mecklenburg County", - "North Carolina", - "USA" - ], - "landingPage": "https://data.charlottenc.gov/datasets/charlotte::cross-sections", - "license": "https://creativecommons.org/licenses/by/4.0", - "modified": "2026-09-23T23:52:30.000Z", + "identifier": "2bb28473-9371-4eca-9f93-7f4f7e54fef6", + "issued": "2026-09-17T16:32:31.000Z", + "keyword": [ + "Auth_CDFW", + "CAOpenData", + "CDFW", + "CWHR", + "CWHR Predicted Habitat Map", + "Calidris alba", + "California", + "California Department of Fish And Wildlife", + "California Natural Resources Agency", + "DS2134_20251117_wm", + "RADMAP", + "biota", + "bird", + "california department of fish and wildlife", + "environment", + "habitat", + "natural resources", + "sanderling", + "species", + "wildlife" + ], + "license": "http://www.opendefinition.org/licenses/cc-by", + "modified": "2026-09-17T16:42:12.000Z", "publisher": { - "name": "City of Charlotte" - }, - "spatial": "-81.0173,34.9984,-80.5708,35.5115", + "@type": "org:Organization", + "name": "California Department of Fish and Wildlife" + }, "theme": [ - "geospatial" - ], - "title": "Cross Sections" - }, - "description": "<p><span style='background-color:rgb(255,255,255); color:rgb(20,20,20); font-family:"Avenir Next", Avenir, "Helvetica Neue", 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;'>Cross sections are vector features seen on a floodplain map to indicate sections of the stream and floodplain where known discharges and water surface elevations have been calculated. Floodplain boundaries are determined by creating vertices where water surface elevations indicated by the cross sections are equal to the modeled ground surface. In between cross sections, additional vertices are drawn for water surface elevations that are derived via interpolation based upon the distance from the bounding cross sections upstream and downstream of a given point.</span></span></p>", + "Natural Resources" + ], + "title": "Sanderling Predicted Habitat - CWHR B181 [ds2134]" + }, + "description": "<div style='text-align:Left;'><div><div><p><span>CWHR Predicted Habitat Models represent areas of predicted suitable habitat for each species within its range. These models are built from the following principal inputs: </span></p><p><span>1) a statewide, best-available vegetation map (FVEG); </span></p><p><span>2) GIS data representing a species’ range; </span></p><p><span>3) the CWHR database of habitat suitability values for over 700 terrestrial vertebrate species. </span></p><p><span>Habitat suitability ranks of Low (non-zero values less than 0.34), Medium (0.34-0.66), and High (greater than 0.66) are based on the maximum suitability value across the 3 species life requisites: reproduction, feeding, and cover. Note that previous versions of these Predicted Habitat Models used an average across the 3 life requisites in order to obtain an overall suitability score for each habitat type and stage class. Habitat suitability scores were developed based on habitat patch sizes greater than 40 acres in size and are best interpreted for habitat patches greater than 200 acres in size. The FVEG landcover dataset is an aggregation of multiple statewide landcover and regional vegetation mapping efforts, conducted at different points in time (approximately 1990 up to time of publishing) and at various resolutions, compiled by the California Department of Forestry and Fire Protection (CALFIRE). FVEG uses the most current and consistent data available for each region of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Crosswalks were used to attribute the various data sources according to the CWHR habitat-type classification system. Attributing FVEG with CWHR habitat types allows for the extraction of areas with non-zero suitability values for each species within the bounds of its range, creating a series of maps of predicted suitable habitat which are species-specific. Because FVEG is an amalgam of disparate landcover assessment efforts across the state, the predictive power for determining suitable habitat will vary between species, and possibly even regionally for species which are widely distributed. While these maps represent CDFW’s best estimate of the presence of suitable habitat for any given species in the CWHR system, these maps are also limited by several factors: 1) the accuracy and resolution of vegetation maps in a given region; 2) the dynamic nature of the landscape in which fire and other disturbance events alter conditions at a greater frequency than mapping efforts can track; 3) the currency of expert knowledge, particularly as species adapt to changing land and climate conditions and the shifting of other species’ ranges; 4) the frequency of species-specific surveys across a representative sample of a species’ entire range; 5) metapopulation dynamics, which describes the shifting of populations within their environment as result of numerous types of interactions and responses. </span></p><p><span>CWHR GIS data representing predicted suitable habitat should not be used to indicate the presence or absence of a particular species at any specific site. CWHR predicted habitat models are named according to the 4-character alpha-numeric CWHR ID assigned to each species (5 characters in the case of subspecies or other sub-taxa). There is also a “CWHR Revision Tracking Table” containing a record for each species, its CWHR ID, scientific name, common name, and range and habitat model data revision history. CWHR species range models, predicted habitat models, and GIS data of the statewide distribution of all CWHR habitat types, along with the CWHR revision tracking table, are available for download at </span><a href='https://www.wildlife.ca.gov/Data/CWHR' target='_blank' style='text-decoration:underline;' rel='nofollow ugc noopener noreferrer'><span>https://www.wildlife.ca.gov/Data/CWHR</span></a><span>. </span></p></div></div></div>", "distribution_titles": [ - "CSV", - "GeoJSON", - "KML", - "Shapefile", "ArcGIS Hub Dataset", + "BIOS Homepage", + "CWHR Homepage", + "Source download (File Geodatabase)", "ArcGIS GeoService" ], - "harvest_record": "https://catalog.data.gov/harvest_record/bee33c14-1df4-4abd-a4fa-0b9030234218", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/bee33c14-1df4-4abd-a4fa-0b9030234218/raw", - "has_download": false, - "has_spatial": true, - "identifier": "https://www.arcgis.com/home/item.html?id=823fe1ea74004c589fd7fb28fe9f3818&sublayer=0", - "keyword": [ - "Charlotte", - "Charmeck", - "Cross Section", - "Environment", - "FEMA", - "Floodplain", - "Mecklenburg County", - "Mecklenburg County", - "North Carolina", - "USA" - ], - "last_harvested_date": "2026-09-24T17:49:54.274591", + "harvest_record": "https://catalog.data.gov/harvest_record/2f68117d-9401-49b8-b754-c79ce1ffa8b9", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/2f68117d-9401-49b8-b754-c79ce1ffa8b9/raw", + "has_download": true, + "has_spatial": false, + "identifier": "2bb28473-9371-4eca-9f93-7f4f7e54fef6", + "keyword": [ + "Auth_CDFW", + "CAOpenData", + "CDFW", + "CWHR", + "CWHR Predicted Habitat Map", + "Calidris alba", + "California", + "California Department of Fish And Wildlife", + "California Natural Resources Agency", + "DS2134_20251117_wm", + "RADMAP", + "biota", + "bird", + "california department of fish and wildlife", + "environment", + "habitat", + "natural resources", + "sanderling", + "species", + "wildlife" + ], + "last_harvested_date": "2026-09-24T20:35:52.360635", "organization": { "aliases": [ - "north carolina" + "ca" ], "code_repo_exempt": false, "code_repo_url": null, "description": null, - "id": "771e022a-4a81-4cce-ac79-f6e04bdf76d3", - "logo": "", - "name": "City of Charlotte", - "organization_type": "City Government", - "slug": "charlotte-nc" + "id": "ae56c24b-46d3-4688-965e-94bdc208164f", + "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/state_CA.png", + "name": "State of California", + "organization_type": "State Government", + "slug": "california" }, "parent_identifier": null, - "popularity": 4, - "publisher": "City of Charlotte", - "slug": "cross-sections", - "spatial_centroid": { - "lat": 35.20363999999999, - "lon": -80.8387 - }, - "spatial_shape": { - "coordinates": [ - [ - [ - -81.0173, - 34.9984 - ], - [ - -81.0173, - 35.5115 - ], - [ - -80.5708, - 35.5115 - ], - [ - -80.5708, - 34.9984 - ], - [ - -81.0173, - 34.9984 - ] - ] - ], - "type": "Polygon" - }, + "popularity": 0, + "publisher": "California Department of Fish and Wildlife", + "slug": "sanderling-predicted-habitat-cwhr-b181-ds2134", + "spatial_centroid": null, + "spatial_shape": null, "theme": [ - "geospatial" - ], - "title": "Cross Sections", + "Natural Resources" + ], + "title": "Sanderling Predicted Habitat - CWHR B181 [ds2134]", "type": "dataset" }, { - "_score": 16.184877, + "_score": 14.484187, "_sort": [ - 1790272188587, - 16.184877, + 1790282152207, + 14.484187, 0, - "5ccf7a2c-dc8b-40e3-b2b9-598338e86ee3" + "eccc0583-46ad-4018-aa46-e415beaee800" ], "dcat": { "@type": "dcat:Dataset", "accessLevel": "public", "contactPoint": { "@type": "vcard:Contact", - "fn": "Charlotte NC", - "hasEmail": "mailto:gisadmins@ci.charlotte.nc.us" - }, - "description": "Environmental justice (EJ) seeks to minimize and equalize effects of environmental hazards among the entire community regardless of income, ethnicity or race. Issues of environmental justice often arise from geographic or procedural inequities. The following measures – focused on sociodemographic characteristics and aspects of the built environment – are proposed to measure environmental justice (or injustices at the case may be). Enirvonmental Justice is analyzed using six measures: 1. Tree Canopy 2. Impervious Surface 3. Proximity to Heavy Industrial Uses 4. Proximity to Major Transportation Infrastructure 5. Floodplain. See EGF Framework Manual as part of the Comprehensive Plan for further information. https://www.cltfuture2040plan.com/manuals-and-metrics/equitable-growth-framework-manual-6", + "fn": "BIOS_Admin", + "hasEmail": "mailto:geodata@wildlife.ca.gov" + }, + "description": "<div style='text-align:Left;'><div><div><p><span>CWHR Predicted Habitat Models represent areas of predicted suitable habitat for each species within its range. These models are built from the following principal inputs: </span></p><p><span>1) a statewide, best-available vegetation map (FVEG); </span></p><p><span>2) GIS data representing a species’ range; </span></p><p><span>3) the CWHR database of habitat suitability values for over 700 terrestrial vertebrate species. </span></p><p><span>Habitat suitability ranks of Low (non-zero values less than 0.34), Medium (0.34-0.66), and High (greater than 0.66) are based on the maximum suitability value across the 3 species life requisites: reproduction, feeding, and cover. Note that previous versions of these Predicted Habitat Models used an average across the 3 life requisites in order to obtain an overall suitability score for each habitat type and stage class. Habitat suitability scores were developed based on habitat patch sizes greater than 40 acres in size and are best interpreted for habitat patches greater than 200 acres in size. The FVEG landcover dataset is an aggregation of multiple statewide landcover and regional vegetation mapping efforts, conducted at different points in time (approximately 1990 up to time of publishing) and at various resolutions, compiled by the California Department of Forestry and Fire Protection (CALFIRE). FVEG uses the most current and consistent data available for each region of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Crosswalks were used to attribute the various data sources according to the CWHR habitat-type classification system. Attributing FVEG with CWHR habitat types allows for the extraction of areas with non-zero suitability values for each species within the bounds of its range, creating a series of maps of predicted suitable habitat which are species-specific. Because FVEG is an amalgam of disparate landcover assessment efforts across the state, the predictive power for determining suitable habitat will vary between species, and possibly even regionally for species which are widely distributed. While these maps represent CDFW’s best estimate of the presence of suitable habitat for any given species in the CWHR system, these maps are also limited by several factors: 1) the accuracy and resolution of vegetation maps in a given region; 2) the dynamic nature of the landscape in which fire and other disturbance events alter conditions at a greater frequency than mapping efforts can track; 3) the currency of expert knowledge, particularly as species adapt to changing land and climate conditions and the shifting of other species’ ranges; 4) the frequency of species-specific surveys across a representative sample of a species’ entire range; 5) metapopulation dynamics, which describes the shifting of populations within their environment as result of numerous types of interactions and responses. </span></p><p><span>CWHR GIS data representing predicted suitable habitat should not be used to indicate the presence or absence of a particular species at any specific site. CWHR predicted habitat models are named according to the 4-character alpha-numeric CWHR ID assigned to each species (5 characters in the case of subspecies or other sub-taxa). There is also a “CWHR Revision Tracking Table” containing a record for each species, its CWHR ID, scientific name, common name, and range and habitat model data revision history. CWHR species range models, predicted habitat models, and GIS data of the statewide distribution of all CWHR habitat types, along with the CWHR revision tracking table, are available for download at </span><a href='https://www.wildlife.ca.gov/Data/CWHR' target='_blank' style='text-decoration:underline;' rel='nofollow ugc noopener noreferrer'><span>https://www.wildlife.ca.gov/Data/CWHR</span></a><span>. </span></p></div></div></div>", "distribution": [ { "@type": "dcat:Distribution", - "accessURL": "https://data.charlottenc.gov/api/download/v1/items/aeb1c5ada5a34ad79bed4d6baaa695de/csv?layers=0", - "format": "CSV", - "mediaType": "text/csv", - "title": "CSV" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://data.charlottenc.gov/api/download/v1/items/aeb1c5ada5a34ad79bed4d6baaa695de/geojson?layers=0", - "format": "GeoJSON", - "mediaType": "application/vnd.geo+json", - "title": "GeoJSON" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://data.charlottenc.gov/api/download/v1/items/aeb1c5ada5a34ad79bed4d6baaa695de/kml?layers=0", - "format": "KML", - "mediaType": "application/vnd.google-earth.kml+xml", - "title": "KML" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://data.charlottenc.gov/api/download/v1/items/aeb1c5ada5a34ad79bed4d6baaa695de/shapefile?layers=0", + "accessURL": "https://data-cdfw.opendata.arcgis.com/content/CDFW::western-sandpiper-predicted-habitat-cwhr-b183-ds2135", + "format": "HTML", + "title": "ArcGIS Hub Dataset" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://wildlife.ca.gov/Data/BIOS", + "title": "BIOS Homepage" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://wildlife.ca.gov/Data/CWHR", + "title": "CWHR Homepage" + }, + { + "@type": "dcat:Distribution", + "downloadURL": "https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/2100_2199/ds2135.zip", "format": "ZIP", "mediaType": "application/zip", - "title": "Shapefile" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://data.charlottenc.gov/datasets/charlotte::environmental-justice-2020-2", - "format": "Web Page", - "mediaType": "text/html", - "title": "ArcGIS Hub Dataset" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://services.arcgis.com/9Nl857LBlQVyzq54/arcgis/rest/services/Environmental_Justice_2020/FeatureServer/0", + "title": "Source download (File Geodatabase)" + }, + { + "@type": "dcat:Distribution", + "downloadURL": "https://tiledimageservices2.arcgis.com/Uq9r85Potqm3MfRV/arcgis/rest/services/biosds2135_cru/ImageServer", "format": "ArcGIS GeoServices REST API", - "mediaType": "application/json", + "mediaType": "application/octet-stream", "title": "ArcGIS GeoService" } ], - "identifier": "https://www.arcgis.com/home/item.html?id=aeb1c5ada5a34ad79bed4d6baaa695de&sublayer=0", - "issued": "2022-01-06T01:40:20.000Z", - "keyword": [ - "Charlotte", - "Charlotte 2040 Comprehensive Plan", - "Equitable Growth Framework" - ], - "landingPage": "https://data.charlottenc.gov/datasets/charlotte::environmental-justice-2020-2", - "license": "https://creativecommons.org/licenses/by/4.0", - "modified": "2022-01-06T01:31:29.806Z", + "identifier": "ff13de77-508c-469a-8a2b-d634a88ce973", + "issued": "2026-09-17T16:49:15.000Z", + "keyword": [ + "Auth_CDFW", + "CAOpenData", + "CDFW", + "CWHR", + "CWHR Predicted Habitat Map", + "Calidris mauri", + "California", + "California Department of Fish And Wildlife", + "California Natural Resources Agency", + "DS2135_20251117_wm", + "RADMAP", + "biota", + "bird", + "california department of fish and wildlife", + "environment", + "habitat", + "natural resources", + "species", + "western sandpiper", + "wildlife" + ], + "license": "http://www.opendefinition.org/licenses/cc-by", + "modified": "2026-09-17T16:55:32.000Z", "publisher": { - "name": "City of Charlotte" - }, - "spatial": "-81.0566,34.9987,-80.5551,35.5213", + "@type": "org:Organization", + "name": "California Department of Fish and Wildlife" + }, "theme": [ - "geospatial" - ], - "title": "Environmental Justice 2020" - }, - "description": "Environmental justice (EJ) seeks to minimize and equalize effects of environmental hazards among the entire community regardless of income, ethnicity or race. Issues of environmental justice often arise from geographic or procedural inequities. The following measures – focused on sociodemographic characteristics and aspects of the built environment – are proposed to measure environmental justice (or injustices at the case may be). Enirvonmental Justice is analyzed using six measures: 1. Tree Canopy 2. Impervious Surface 3. Proximity to Heavy Industrial Uses 4. Proximity to Major Transportation Infrastructure 5. Floodplain. See EGF Framework Manual as part of the Comprehensive Plan for further information. https://www.cltfuture2040plan.com/manuals-and-metrics/equitable-growth-framework-manual-6", + "Natural Resources" + ], + "title": "Western Sandpiper Predicted Habitat - CWHR B183 [ds2135]" + }, + "description": "<div style='text-align:Left;'><div><div><p><span>CWHR Predicted Habitat Models represent areas of predicted suitable habitat for each species within its range. These models are built from the following principal inputs: </span></p><p><span>1) a statewide, best-available vegetation map (FVEG); </span></p><p><span>2) GIS data representing a species’ range; </span></p><p><span>3) the CWHR database of habitat suitability values for over 700 terrestrial vertebrate species. </span></p><p><span>Habitat suitability ranks of Low (non-zero values less than 0.34), Medium (0.34-0.66), and High (greater than 0.66) are based on the maximum suitability value across the 3 species life requisites: reproduction, feeding, and cover. Note that previous versions of these Predicted Habitat Models used an average across the 3 life requisites in order to obtain an overall suitability score for each habitat type and stage class. Habitat suitability scores were developed based on habitat patch sizes greater than 40 acres in size and are best interpreted for habitat patches greater than 200 acres in size. The FVEG landcover dataset is an aggregation of multiple statewide landcover and regional vegetation mapping efforts, conducted at different points in time (approximately 1990 up to time of publishing) and at various resolutions, compiled by the California Department of Forestry and Fire Protection (CALFIRE). FVEG uses the most current and consistent data available for each region of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Crosswalks were used to attribute the various data sources according to the CWHR habitat-type classification system. Attributing FVEG with CWHR habitat types allows for the extraction of areas with non-zero suitability values for each species within the bounds of its range, creating a series of maps of predicted suitable habitat which are species-specific. Because FVEG is an amalgam of disparate landcover assessment efforts across the state, the predictive power for determining suitable habitat will vary between species, and possibly even regionally for species which are widely distributed. While these maps represent CDFW’s best estimate of the presence of suitable habitat for any given species in the CWHR system, these maps are also limited by several factors: 1) the accuracy and resolution of vegetation maps in a given region; 2) the dynamic nature of the landscape in which fire and other disturbance events alter conditions at a greater frequency than mapping efforts can track; 3) the currency of expert knowledge, particularly as species adapt to changing land and climate conditions and the shifting of other species’ ranges; 4) the frequency of species-specific surveys across a representative sample of a species’ entire range; 5) metapopulation dynamics, which describes the shifting of populations within their environment as result of numerous types of interactions and responses. </span></p><p><span>CWHR GIS data representing predicted suitable habitat should not be used to indicate the presence or absence of a particular species at any specific site. CWHR predicted habitat models are named according to the 4-character alpha-numeric CWHR ID assigned to each species (5 characters in the case of subspecies or other sub-taxa). There is also a “CWHR Revision Tracking Table” containing a record for each species, its CWHR ID, scientific name, common name, and range and habitat model data revision history. CWHR species range models, predicted habitat models, and GIS data of the statewide distribution of all CWHR habitat types, along with the CWHR revision tracking table, are available for download at </span><a href='https://www.wildlife.ca.gov/Data/CWHR' target='_blank' style='text-decoration:underline;' rel='nofollow ugc noopener noreferrer'><span>https://www.wildlife.ca.gov/Data/CWHR</span></a><span>. </span></p></div></div></div>", "distribution_titles": [ - "CSV", - "GeoJSON", - "KML", - "Shapefile", "ArcGIS Hub Dataset", + "BIOS Homepage", + "CWHR Homepage", + "Source download (File Geodatabase)", "ArcGIS GeoService" ], - "harvest_record": "https://catalog.data.gov/harvest_record/1a64fc94-9f67-4c90-8c39-2298ebfa4e77", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/1a64fc94-9f67-4c90-8c39-2298ebfa4e77/raw", - "has_download": false, - "has_spatial": true, - "identifier": "https://www.arcgis.com/home/item.html?id=aeb1c5ada5a34ad79bed4d6baaa695de&sublayer=0", - "keyword": [ - "Charlotte", - "Charlotte 2040 Comprehensive Plan", - "Equitable Growth Framework" - ], - "last_harvested_date": "2026-09-24T17:49:48.587799", + "harvest_record": "https://catalog.data.gov/harvest_record/4137f2f8-ebef-4c5a-9b4f-541c28c4c4c4", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/4137f2f8-ebef-4c5a-9b4f-541c28c4c4c4/raw", + "has_download": true, + "has_spatial": false, + "identifier": "ff13de77-508c-469a-8a2b-d634a88ce973", + "keyword": [ + "Auth_CDFW", + "CAOpenData", + "CDFW", + "CWHR", + "CWHR Predicted Habitat Map", + "Calidris mauri", + "California", + "California Department of Fish And Wildlife", + "California Natural Resources Agency", + "DS2135_20251117_wm", + "RADMAP", + "biota", + "bird", + "california department of fish and wildlife", + "environment", + "habitat", + "natural resources", + "species", + "western sandpiper", + "wildlife" + ], + "last_harvested_date": "2026-09-24T20:35:52.207548", "organization": { "aliases": [ - "north carolina" + "ca" ], "code_repo_exempt": false, "code_repo_url": null, "description": null, - "id": "771e022a-4a81-4cce-ac79-f6e04bdf76d3", - "logo": "", - "name": "City of Charlotte", - "organization_type": "City Government", - "slug": "charlotte-nc" + "id": "ae56c24b-46d3-4688-965e-94bdc208164f", + "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/state_CA.png", + "name": "State of California", + "organization_type": "State Government", + "slug": "california" }, "parent_identifier": null, "popularity": 0, - "publisher": "City of Charlotte", - "slug": "environmental-justice-2020", - "spatial_centroid": { - "lat": 35.20774, - "lon": -80.856 - }, - "spatial_shape": { - "coordinates": [ - [ - [ - -81.0566, - 34.9987 - ], - [ - -81.0566, - 35.5213 - ], - [ - -80.5551, - 35.5213 - ], - [ - -80.5551, - 34.9987 - ], - [ - -81.0566, - 34.9987 - ] - ] - ], - "type": "Polygon" - }, + "publisher": "California Department of Fish and Wildlife", + "slug": "western-sandpiper-predicted-habitat-cwhr-b183-ds2135", + "spatial_centroid": null, + "spatial_shape": null, "theme": [ - "geospatial" - ], - "title": "Environmental Justice 2020", + "Natural Resources" + ], + "title": "Western Sandpiper Predicted Habitat - CWHR B183 [ds2135]", "type": "dataset" }, { - "_score": 9.743286, + "_score": 14.484187, "_sort": [ - 1790272181291, - 9.743286, + 1790282151882, + 14.484187, 0, - "9429f14a-128a-41d0-90fa-f6943887d91f" + "5f1dde47-ebfc-404c-83ec-4cfa8c7e6ce4" ], "dcat": { "@type": "dcat:Dataset", "accessLevel": "public", "contactPoint": { "@type": "vcard:Contact", - "fn": "Charlotte NC", - "hasEmail": "mailto:gisadmins@ci.charlotte.nc.us" - }, - "description": "<span style='color:rgb(55, 65, 81); font-family:Lato, Seravek, "Gill Sans Nova", Ubuntu, Roboto, Calibri, "DejaVu Sans", source-sans-pro, sans-serif;'><font size='3'><span style='color:rgb(0, 0, 0); background-color:rgb(255, 255, 255);'> </span>The dataset displays waterbodies along the Catawba River Basin from Lake Hickory thru Lake Norman, Mountain Island Lake, and Lake Wylie to Fishing Creek Lake at Great Falls, SC. This dataset also includes Pond water features within Mecklenburg County, NC. The dataset was created to provide users a coverage for display of the Catawba River as a shaded polygon on maps.</font></span>", + "fn": "BIOS_Admin", + "hasEmail": "mailto:geodata@wildlife.ca.gov" + }, + "description": "<div style='text-align:Left;'><div><div><p><span>CWHR Predicted Habitat Models represent areas of predicted suitable habitat for each species within its range. These models are built from the following principal inputs: </span></p><p><span>1) a statewide, best-available vegetation map (FVEG); </span></p><p><span>2) GIS data representing a species’ range; </span></p><p><span>3) the CWHR database of habitat suitability values for over 700 terrestrial vertebrate species. </span></p><p><span>Habitat suitability ranks of Low (non-zero values less than 0.34), Medium (0.34-0.66), and High (greater than 0.66) are based on the maximum suitability value across the 3 species life requisites: reproduction, feeding, and cover. Note that previous versions of these Predicted Habitat Models used an average across the 3 life requisites in order to obtain an overall suitability score for each habitat type and stage class. Habitat suitability scores were developed based on habitat patch sizes greater than 40 acres in size and are best interpreted for habitat patches greater than 200 acres in size. The FVEG landcover dataset is an aggregation of multiple statewide landcover and regional vegetation mapping efforts, conducted at different points in time (approximately 1990 up to time of publishing) and at various resolutions, compiled by the California Department of Forestry and Fire Protection (CALFIRE). FVEG uses the most current and consistent data available for each region of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Crosswalks were used to attribute the various data sources according to the CWHR habitat-type classification system. Attributing FVEG with CWHR habitat types allows for the extraction of areas with non-zero suitability values for each species within the bounds of its range, creating a series of maps of predicted suitable habitat which are species-specific. Because FVEG is an amalgam of disparate landcover assessment efforts across the state, the predictive power for determining suitable habitat will vary between species, and possibly even regionally for species which are widely distributed. While these maps represent CDFW’s best estimate of the presence of suitable habitat for any given species in the CWHR system, these maps are also limited by several factors: 1) the accuracy and resolution of vegetation maps in a given region; 2) the dynamic nature of the landscape in which fire and other disturbance events alter conditions at a greater frequency than mapping efforts can track; 3) the currency of expert knowledge, particularly as species adapt to changing land and climate conditions and the shifting of other species’ ranges; 4) the frequency of species-specific surveys across a representative sample of a species’ entire range; 5) metapopulation dynamics, which describes the shifting of populations within their environment as result of numerous types of interactions and responses. </span></p><p><span>CWHR GIS data representing predicted suitable habitat should not be used to indicate the presence or absence of a particular species at any specific site. CWHR predicted habitat models are named according to the 4-character alpha-numeric CWHR ID assigned to each species (5 characters in the case of subspecies or other sub-taxa). There is also a “CWHR Revision Tracking Table” containing a record for each species, its CWHR ID, scientific name, common name, and range and habitat model data revision history. CWHR species range models, predicted habitat models, and GIS data of the statewide distribution of all CWHR habitat types, along with the CWHR revision tracking table, are available for download at </span><a href='https://www.wildlife.ca.gov/Data/CWHR' target='_blank' style='text-decoration:underline;' rel='nofollow ugc noopener noreferrer'><span>https://www.wildlife.ca.gov/Data/CWHR</span></a><span>. </span></p></div></div></div>", "distribution": [ { "@type": "dcat:Distribution", - "accessURL": "https://data.charlottenc.gov/api/download/v1/items/e89bf0046c7b4349822aa785933e994d/csv?layers=0", - "format": "CSV", - "mediaType": "text/csv", - "title": "CSV" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://data.charlottenc.gov/api/download/v1/items/e89bf0046c7b4349822aa785933e994d/filegdb?layers=0", + "accessURL": "https://data-cdfw.opendata.arcgis.com/content/CDFW::least-sandpiper-predicted-habitat-cwhr-b185-ds2136", + "format": "HTML", + "title": "ArcGIS Hub Dataset" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://wildlife.ca.gov/Data/BIOS", + "title": "BIOS Homepage" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://wildlife.ca.gov/Data/CWHR", + "title": "CWHR Homepage" + }, + { + "@type": "dcat:Distribution", + "downloadURL": "https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/2100_2199/ds2136.zip", "format": "ZIP", "mediaType": "application/zip", - "title": "File Geodatabase" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://data.charlottenc.gov/api/download/v1/items/e89bf0046c7b4349822aa785933e994d/geojson?layers=0", - "format": "GeoJSON", - "mediaType": "application/vnd.geo+json", - "title": "GeoJSON" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://data.charlottenc.gov/api/download/v1/items/e89bf0046c7b4349822aa785933e994d/kml?layers=0", - "format": "KML", - "mediaType": "application/vnd.google-earth.kml+xml", - "title": "KML" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://data.charlottenc.gov/api/download/v1/items/e89bf0046c7b4349822aa785933e994d/shapefile?layers=0", - "format": "ZIP", - "mediaType": "application/zip", - "title": "Shapefile" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://data.charlottenc.gov/datasets/charlotte::ponds-1", - "format": "Web Page", - "mediaType": "text/html", - "title": "ArcGIS Hub Dataset" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://meckgis.mecklenburgcountync.gov/server/rest/services/LakesAndPonds/FeatureServer/0", + "title": "Source download (File Geodatabase)" + }, + { + "@type": "dcat:Distribution", + "downloadURL": "https://tiledimageservices2.arcgis.com/Uq9r85Potqm3MfRV/arcgis/rest/services/biosds2136_cru/ImageServer", "format": "ArcGIS GeoServices REST API", - "mediaType": "application/json", + "mediaType": "application/octet-stream", "title": "ArcGIS GeoService" } ], - "identifier": "https://www.arcgis.com/home/item.html?id=e89bf0046c7b4349822aa785933e994d&sublayer=0", - "issued": "2022-04-04T14:36:31.000Z", - "keyword": [ - "Charlotte", - "Environment", - "Mecklenburg County", - "North Carolina", - "Ponds", - "Storm Water", - "Storm Water Services", - "Stormwater", - "USA" - ], - "landingPage": "https://data.charlottenc.gov/datasets/charlotte::ponds-1", - "license": "https://creativecommons.org/licenses/by/4.0", - "modified": "2026-09-23T23:57:12.000Z", + "identifier": "f55661f5-adbd-4958-9b47-d32fbb84caae", + "issued": "2026-09-17T18:04:20.000Z", + "keyword": [ + "Auth_CDFW", + "CAOpenData", + "CDFW", + "CWHR", + "CWHR Predicted Habitat Map", + "Calidris minutilla", + "California", + "California Department of Fish And Wildlife", + "California Natural Resources Agency", + "DS2136_20251117_wm", + "RADMAP", + "biota", + "bird", + "california department of fish and wildlife", + "environment", + "habitat", + "least sandpiper", + "natural resources", + "species", + "wildlife" + ], + "license": "http://www.opendefinition.org/licenses/cc-by", + "modified": "2026-09-17T18:14:28.000Z", "publisher": { - "name": "City of Charlotte" - }, - "spatial": "-81.3427,34.5923,-80.5646,35.9376", + "@type": "org:Organization", + "name": "California Department of Fish and Wildlife" + }, "theme": [ - "geospatial" - ], - "title": "Ponds" - }, - "description": "<span style='color:rgb(55, 65, 81); font-family:Lato, Seravek, "Gill Sans Nova", Ubuntu, Roboto, Calibri, "DejaVu Sans", source-sans-pro, sans-serif;'><font size='3'><span style='color:rgb(0, 0, 0); background-color:rgb(255, 255, 255);'> </span>The dataset displays waterbodies along the Catawba River Basin from Lake Hickory thru Lake Norman, Mountain Island Lake, and Lake Wylie to Fishing Creek Lake at Great Falls, SC. This dataset also includes Pond water features within Mecklenburg County, NC. The dataset was created to provide users a coverage for display of the Catawba River as a shaded polygon on maps.</font></span>", + "Natural Resources" + ], + "title": "Least Sandpiper Predicted Habitat - CWHR B185 [ds2136]" + }, + "description": "<div style='text-align:Left;'><div><div><p><span>CWHR Predicted Habitat Models represent areas of predicted suitable habitat for each species within its range. These models are built from the following principal inputs: </span></p><p><span>1) a statewide, best-available vegetation map (FVEG); </span></p><p><span>2) GIS data representing a species’ range; </span></p><p><span>3) the CWHR database of habitat suitability values for over 700 terrestrial vertebrate species. </span></p><p><span>Habitat suitability ranks of Low (non-zero values less than 0.34), Medium (0.34-0.66), and High (greater than 0.66) are based on the maximum suitability value across the 3 species life requisites: reproduction, feeding, and cover. Note that previous versions of these Predicted Habitat Models used an average across the 3 life requisites in order to obtain an overall suitability score for each habitat type and stage class. Habitat suitability scores were developed based on habitat patch sizes greater than 40 acres in size and are best interpreted for habitat patches greater than 200 acres in size. The FVEG landcover dataset is an aggregation of multiple statewide landcover and regional vegetation mapping efforts, conducted at different points in time (approximately 1990 up to time of publishing) and at various resolutions, compiled by the California Department of Forestry and Fire Protection (CALFIRE). FVEG uses the most current and consistent data available for each region of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Crosswalks were used to attribute the various data sources according to the CWHR habitat-type classification system. Attributing FVEG with CWHR habitat types allows for the extraction of areas with non-zero suitability values for each species within the bounds of its range, creating a series of maps of predicted suitable habitat which are species-specific. Because FVEG is an amalgam of disparate landcover assessment efforts across the state, the predictive power for determining suitable habitat will vary between species, and possibly even regionally for species which are widely distributed. While these maps represent CDFW’s best estimate of the presence of suitable habitat for any given species in the CWHR system, these maps are also limited by several factors: 1) the accuracy and resolution of vegetation maps in a given region; 2) the dynamic nature of the landscape in which fire and other disturbance events alter conditions at a greater frequency than mapping efforts can track; 3) the currency of expert knowledge, particularly as species adapt to changing land and climate conditions and the shifting of other species’ ranges; 4) the frequency of species-specific surveys across a representative sample of a species’ entire range; 5) metapopulation dynamics, which describes the shifting of populations within their environment as result of numerous types of interactions and responses. </span></p><p><span>CWHR GIS data representing predicted suitable habitat should not be used to indicate the presence or absence of a particular species at any specific site. CWHR predicted habitat models are named according to the 4-character alpha-numeric CWHR ID assigned to each species (5 characters in the case of subspecies or other sub-taxa). There is also a “CWHR Revision Tracking Table” containing a record for each species, its CWHR ID, scientific name, common name, and range and habitat model data revision history. CWHR species range models, predicted habitat models, and GIS data of the statewide distribution of all CWHR habitat types, along with the CWHR revision tracking table, are available for download at </span><a href='https://www.wildlife.ca.gov/Data/CWHR' target='_blank' style='text-decoration:underline;' rel='nofollow ugc noopener noreferrer'><span>https://www.wildlife.ca.gov/Data/CWHR</span></a><span>. </span></p></div></div></div>", "distribution_titles": [ - "CSV", - "File Geodatabase", - "GeoJSON", - "KML", - "Shapefile", "ArcGIS Hub Dataset", + "BIOS Homepage", + "CWHR Homepage", + "Source download (File Geodatabase)", "ArcGIS GeoService" ], - "harvest_record": "https://catalog.data.gov/harvest_record/adb9e90e-3765-492e-97d5-fa26af7c9569", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/adb9e90e-3765-492e-97d5-fa26af7c9569/raw", - "has_download": false, - "has_spatial": true, - "identifier": "https://www.arcgis.com/home/item.html?id=e89bf0046c7b4349822aa785933e994d&sublayer=0", - "keyword": [ - "Charlotte", - "Environment", - "Mecklenburg County", - "North Carolina", - "Ponds", - "Storm Water", - "Storm Water Services", - "Stormwater", - "USA" - ], - "last_harvested_date": "2026-09-24T17:49:41.291855", + "harvest_record": "https://catalog.data.gov/harvest_record/21438015-fb78-412d-b025-7e2cc7b203cf", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/21438015-fb78-412d-b025-7e2cc7b203cf/raw", + "has_download": true, + "has_spatial": false, + "identifier": "f55661f5-adbd-4958-9b47-d32fbb84caae", + "keyword": [ + "Auth_CDFW", + "CAOpenData", + "CDFW", + "CWHR", + "CWHR Predicted Habitat Map", + "Calidris minutilla", + "California", + "California Department of Fish And Wildlife", + "California Natural Resources Agency", + "DS2136_20251117_wm", + "RADMAP", + "biota", + "bird", + "california department of fish and wildlife", + "environment", + "habitat", + "least sandpiper", + "natural resources", + "species", + "wildlife" + ], + "last_harvested_date": "2026-09-24T20:35:51.882302"