CivicMemory

Timeline / Data.gov — Climate Datasets

changed Source changed

A new raw object was archived. Both versions are preserved. 5595 line(s) added, 5483 line(s) removed.

Evidence

SourceData.gov — Climate Datasets
AgencyData.gov
URLhttps://api.gsa.gov/technology/datagov/v4/search?q=climate&sort=last_harvested_date&per_page=100&api_key=${DATAGOV_API_KEY}
Observed by Civic Memory, directly, on 2026-09-27T06:29:49+00:00
Content typeapplication/json
Current object 3e5d09c830f18a14cf9990d3c294283a3081ed1b7c569b1836ca67148a00294e download raw metadata
Previous object a0692e16df6bce1915cb1114a05bdf4827a0dff1923fd10648895696d6b6923a download raw metadata

What changed derived

This diff is not evidence. It was produced by civic-memory.diff_engine 1.1.0 at 2026-09-27T06:29:49+00:00 by normalizing the two archived objects above. The objects are authoritative; this reading of them can be regenerated or deleted without loss. 5595 line(s) added, 5483 line(s) removed.

--- previous
+++ current
@@ -1,13 +1,13 @@
 {
- "after": "WzE3OTA0NjY5ODgxMjYsMi43ODk4NjY0LDMsImQ2YzczZDQyLTUwMWEtNDMxNy1hMmY1LTZlZWFhMTQxM2I3MiJd",
+ "after": "WzE3OTA0Njc3NzE1MDAsMC42MDY1MTMsMSwiYzYzYjU0NjQtMGRkMS00MmM3LWIzNGItZDEwNTA0YjgzMTI3Il0=",
  "results": [
  {
- "_score": 10.6812315,
+ "_score": 22.36355,
  "_sort": [
- 1790468421795,
- 10.6812315,
+ 1790472830505,
+ 22.36355,
  0,
- "6f5c9a7b-5f19-4ad0-968d-4a03af926396"
+ "63e3d628-2a5f-4e97-a704-8805ede4aa45"
  ],
  "dcat": {
  "accessLevel": "public",
@@ -16,14 +16,14 @@
  ],
  "contactPoint": {
  "@type": "vcard:Contact",
- "fn": "Climate Adaptation Science Centers",
+ "fn": "Climate Adaptation Science Center",
  "hasEmail": "mailto:casc-data@usgs.gov"
  },
- "description": "Drought is a natural hazard that inflicts costly damage to the environment and human communities. Although ample literature exists on the climatological aspects of drought, little is known on whether existing drought indices can predict the damages and how different human communities respond and adapt to the hazard. This project examines (1) whether existing drought indices can predict the occurrence of drought events and their actual damages; (2) how the adaptive capacity (i.e., resilience) varies across space; and (3) what public outreach and engagement effort would be most effective for mitigation of risk and impacts. The study region includes all 503 counties in Arkansas, Louisiana, New Mexico, Oklahoma, and Texas. This data set was created to examine the first objective of the project. The Palmer Drought Severity Index (PDSI) and Palmer Hydrological Drought Index (PHDI) data, available only at the climate-division level, were downscaled into county-level indices over the 1975-2010 period. The drought damage data, acquired from the Spatial Hazards Events and Losses Database for the United States (SHELDUSTM), were tabulated for the same time period. Statistical correlations were conducted between drought indices and drought damages to test whether these indices accurately represent the drought damage in the study region. This data set contains the two county-level drought indices and drought damage for the period 1975-2010, which should be useful to future related studies.",
+ "description": "Winter climate change has the potential to have a large impact on coastal wetlands in the southeastern U.S. Warmer winter temperatures and reductions in the intensity of freeze events would likely lead to mangrove forest range expansion and salt marsh displacement in parts of the U.S. Gulf of Mexico and Atlantic coast. The objective of this research was to better understand some of the ecological implications of mangrove forest migration and salt marsh displacement. The potential ecological effects of mangrove migration are diverse ranging from important biotic impacts (e.g., coastal fisheries, land bird migration; colonial nesting wading birds) to ecosystem stability (e.g., response to sea level rise and drought; habitat loss; coastal protection) to biogeochemical processes (e.g., carbon storage; water quality). In this research, our focus was on the impact of mangrove forest migration on coastal wetland soil processes and the consequent implications for coastal wetland responses to sea level rise, ecosystem resilience, and carbon storage. Our study specifically addressed the following questions: (1) How do ecological processes and ecosystem properties differ between salt marshes and mangrove forests; (2) As mangrove forests develop, how do their ecosystem properties change and how do these properties compare to salt marshes; (3) How do plant-soil interactions across mangrove forest structural gradients differ among three distinct locations that span the northern Gulf of Mexico; and (4) What are the implications of mangrove forest encroachment and development into salt marsh in terms of soil development, carbon and nitrogen storage, and soil strength? To address these questions, we utilized the salt marshes and natural mangrove forest structural gradients present at three distinct locations in the northern Gulf of Mexico: Cedar Key (Florida), Port Fourchon (Louisiana), and Port Aransas (Texas). Each of these locations represents a distinct combination of climate-driven abiotic conditions. We quantified relationships between plant community composition and structure, soil and porewater physicochemical properties, hydroperiod, and climatic conditions. The suite of measurements that we collected provide initial insights into how different geographic areas of an ecotone, with different environmental conditions, may be impacted by mangrove forest expansion and development, and how these changes may alter the supply of specific ecosystem goods and services. This file includes the site-level elevation data.\nThis work was conducted via a collaborative effort between scientists at the U.S. Geological Survey National Wetland Research Center and the Department of Biology of the University of Louisiana at Lafayette.",
  "distribution": [
  {
  "@type": "dcat:Distribution",
- "accessURL": "https://doi.org/10.21429/C9X59C",
+ "accessURL": "https://doi.org/10.5066/P1GDTXUR",
  "description": "Landing page for access to the data",
  "format": "XML",
  "mediaType": "application/http",
@@ -32,67 +32,50 @@
  {
  "@type": "dcat:Distribution",
  "description": "The metadata original format",
- "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.582a1085e4b01fad8725485c.xml",
+ "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.545cfdb9e4b0ba8303f713e7.xml",
  "format": "XML",
  "mediaType": "text/xml",
  "title": "Original Metadata"
  }
  ],
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_582a1085e4b01fad8725485c",
- "keyword": [
- "Arkansas",
- "Drought damage",
- "Louisiana",
- "New Mexico",
- "Oklahoma",
- "Palmer Drought Severity Index",
- "Palmer Hydrologic Drought Index",
- "SHELDUS",
- "Statistical Downscaling",
- "Texas",
- "USGS:582a1085e4b01fad8725485c",
- "droughts",
- "external research support",
- "modeling"
- ],
- "modified": "2026-09-23T00:00:00Z",
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_545cfdb9e4b0ba8303f713e7",
+ "keyword": [
+ "USGS:545cfdb9e4b0ba8303f713e7",
+ "climate change",
+ "coastal",
+ "elevation",
+ "range shift",
+ "wetlands"
+ ],
+ "modified": "2026-09-22T00:00:00Z",
  "publisher": {
  "@type": "org:Organization",
  "name": "U.S. Geological Survey"
  },
- "spatial": "-109.0513, 37.0015, -89.0218, 25.8456",
- "theme": [
- "geospatial"
- ],
- "title": "Downscaled Palmer Drought Severity Index (PDSI) and Palmer Hydrological Drought Index (PHDI) for 503 counties in South Central United States"
- },
- "description": "Drought is a natural hazard that inflicts costly damage to the environment and human communities. Although ample literature exists on the climatological aspects of drought, little is known on whether existing drought indices can predict the damages and how different human communities respond and adapt to the hazard. This project examines (1) whether existing drought indices can predict the occurrence of drought events and their actual damages; (2) how the adaptive capacity (i.e., resilience) varies across space; and (3) what public outreach and engagement effort would be most effective for mitigation of risk and impacts. The study region includes all 503 counties in Arkansas, Louisiana, New Mexico, Oklahoma, and Texas. This data set was created to examine the first objective of the project. The Palmer Drought Severity Index (PDSI) and Palmer Hydrological Drought Index (PHDI) data, available only at the climate-division level, were downscaled into county-level indices over the 1975-2010 period. The drought damage data, acquired from the Spatial Hazards Events and Losses Database for the United States (SHELDUSTM), were tabulated for the same time period. Statistical correlations were conducted between drought indices and drought damages to test whether these indices accurately represent the drought damage in the study region. This data set contains the two county-level drought indices and drought damage for the period 1975-2010, which should be useful to future related studies.",
+ "theme": [
+ "geospatial"
+ ],
+ "title": "Site Level Elevation Collection Data"
+ },
+ "description": "Winter climate change has the potential to have a large impact on coastal wetlands in the southeastern U.S. Warmer winter temperatures and reductions in the intensity of freeze events would likely lead to mangrove forest range expansion and salt marsh displacement in parts of the U.S. Gulf of Mexico and Atlantic coast. The objective of this research was to better understand some of the ecological implications of mangrove forest migration and salt marsh displacement. The potential ecological effects of mangrove migration are diverse ranging from important biotic impacts (e.g., coastal fisheries, land bird migration; colonial nesting wading birds) to ecosystem stability (e.g., response to sea level rise and drought; habitat loss; coastal protection) to biogeochemical processes (e.g., carbon storage; water quality). In this research, our focus was on the impact of mangrove forest migration on coastal wetland soil processes and the consequent implications for coastal wetland responses to sea level rise, ecosystem resilience, and carbon storage. Our study specifically addressed the following questions: (1) How do ecological processes and ecosystem properties differ between salt marshes and mangrove forests; (2) As mangrove forests develop, how do their ecosystem properties change and how do these properties compare to salt marshes; (3) How do plant-soil interactions across mangrove forest structural gradients differ among three distinct locations that span the northern Gulf of Mexico; and (4) What are the implications of mangrove forest encroachment and development into salt marsh in terms of soil development, carbon and nitrogen storage, and soil strength? To address these questions, we utilized the salt marshes and natural mangrove forest structural gradients present at three distinct locations in the northern Gulf of Mexico: Cedar Key (Florida), Port Fourchon (Louisiana), and Port Aransas (Texas). Each of these locations represents a distinct combination of climate-driven abiotic conditions. We quantified relationships between plant community composition and structure, soil and porewater physicochemical properties, hydroperiod, and climatic conditions. The suite of measurements that we collected provide initial insights into how different geographic areas of an ecotone, with different environmental conditions, may be impacted by mangrove forest expansion and development, and how these changes may alter the supply of specific ecosystem goods and services. This file includes the site-level elevation data.\nThis work was conducted via a collaborative effort between scientists at the U.S. Geological Survey National Wetland Research Center and the Department of Biology of the University of Louisiana at Lafayette.",
  "distribution_titles": [
  "Digital Data",
  "Original Metadata"
  ],
- "harvest_record": "https://catalog.data.gov/harvest_record/d0695897-3a08-4e6e-97e0-a3526f20c2cc",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/d0695897-3a08-4e6e-97e0-a3526f20c2cc/raw",
+ "harvest_record": "https://catalog.data.gov/harvest_record/cc23b262-c377-48aa-aa35-9763db0eed9b",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/cc23b262-c377-48aa-aa35-9763db0eed9b/raw",
  "has_download": true,
  "has_spatial": true,
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_582a1085e4b01fad8725485c",
- "keyword": [
- "Arkansas",
- "Drought damage",
- "Louisiana",
- "New Mexico",
- "Oklahoma",
- "Palmer Drought Severity Index",
- "Palmer Hydrologic Drought Index",
- "SHELDUS",
- "Statistical Downscaling",
- "Texas",
- "USGS:582a1085e4b01fad8725485c",
- "droughts",
- "external research support",
- "modeling"
- ],
- "last_harvested_date": "2026-09-27T00:20:21.795115",
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_545cfdb9e4b0ba8303f713e7",
+ "keyword": [
+ "USGS:545cfdb9e4b0ba8303f713e7",
+ "climate change",
+ "coastal",
+ "elevation",
+ "range shift",
+ "wetlands"
+ ],
+ "last_harvested_date": "2026-09-27T01:33:50.505839",
  "organization": {
  "aliases": [
  "dept"
@@ -109,51 +92,22 @@
  "parent_identifier": null,
  "popularity": 0,
  "publisher": "U.S. Geological Survey",
- "slug": "downscaled-palmer-drought-severity-index-pdsi-and-palmer-hydrological-drought-index-phdi-f",
- "spatial_centroid": {
- "lat": 32.539139999999996,
- "lon": -101.0395
- },
- "spatial_shape": {
- "coordinates": [
- [
- [
- -109.0513,
- 37.0015
- ],
- [
- -109.0513,
- 25.8456
- ],
- [
- -89.0218,
- 25.8456
- ],
- [
- -89.0218,
- 37.0015
- ],
- [
- -109.0513,
- 37.0015
- ]
- ]
- ],
- "type": "Polygon"
- },
- "theme": [
- "geospatial"
- ],
- "title": "Downscaled Palmer Drought Severity Index (PDSI) and Palmer Hydrological Drought Index (PHDI) for 503 counties in South Central United States",
+ "slug": "site-level-elevation-collection-data",
+ "spatial_centroid": null,
+ "spatial_shape": null,
+ "theme": [
+ "geospatial"
+ ],
+ "title": "Site Level Elevation Collection Data",
  "type": "dataset"
  },
  {
- "_score": 21.158266,
+ "_score": 8.16765,
  "_sort": [
- 1790468360650,
- 21.158266,
+ 1790472756481,
+ 8.16765,
  0,
- "28f78b0b-8bbd-44f2-a5c4-d5f7b64d2590"
+ "d2a41847-8a2e-4d32-b875-f8b738c3d850"
  ],
  "dcat": {
  "accessLevel": "public",
@@ -162,14 +116,14 @@
  ],
  "contactPoint": {
  "@type": "vcard:Contact",
- "fn": "Climate Adaptation Science Centers",
- "hasEmail": "mailto:casc-data@usgs.gov"
- },
- "description": "Winter climate change has the potential to have a large impact on coastal wetlands in the southeastern U.S. Warmer winter temperatures and reductions in the intensity of freeze events would likely lead to mangrove forest range expansion and salt marsh displacement in parts of the U.S. Gulf of Mexico and Atlantic coast. The objective of this research was to better understand some of the ecological implications of mangrove forest migration and salt marsh displacement. The potential ecological effects of mangrove migration are diverse ranging from important biotic impacts (e.g., coastal fisheries, land bird migration; colonial nesting wading birds) to ecosystem stability (e.g., response to sea level rise and drought; habitat loss; coastal protection) to biogeochemical processes (e.g., carbon storage; water quality). In this research, our focus was on the impact of mangrove forest migration on coastal wetland soil processes and the consequent implications for coastal wetland responses to sea level rise, ecosystem resilience, and carbon storage. Our study specifically addressed the following questions: (1) How do ecological processes and ecosystem properties differ between salt marshes and mangrove forests; (2) As mangrove forests develop, how do their ecosystem properties change and how do these properties compare to salt marshes; (3) How do plant-soil interactions across mangrove forest structural gradients differ among three distinct locations that span the northern Gulf of Mexico; and (4) What are the implications of mangrove forest encroachment and development into salt marsh in terms of soil development, carbon and nitrogen storage, and soil strength? To address these questions, we utilized the salt marshes and natural mangrove forest structural gradients present at three distinct locations in the northern Gulf of Mexico: Cedar Key (Florida), Port Fourchon (Louisiana), and Port Aransas (Texas). Each of these locations represents a distinct combination of climate-driven abiotic conditions. We quantified relationships between plant community composition and structure, soil and porewater physicochemical properties, hydroperiod, and climatic conditions. The suite of measurements that we collected provide initial insights into how different geographic areas of an ecotone, with different environmental conditions, may be impacted by mangrove forest expansion and development, and how these changes may alter the supply of specific ecosystem goods and services. This file includes the scanned field notes associated with this project\nThis work was conducted via a collaborative effort between scientists at the U.S. Geological Survey National Wetland Research Center and the Department of Biology of the University of Louisiana at Lafayette.",
+ "fn": "Jacob A Fleck",
+ "hasEmail": "mailto:jafleck@usgs.gov"
+ },
+ "description": "Little is known about mercury concentrations at bay margins, and how climate change, including changes in temperature and precipitation, will affect mercury exposure and methylmercury (MeHg) production. In addition, the San Francisco South Bay Salt Ponds Restoration Program (SBSPRP) needs more efficient and effective mercury monitoring approaches at larger spatial scales to understand changes in mercury at a regional level. The goal of this new project, a collaboration between the USGS Western Geographic Science Center, Water Mission Area, and the California Water Science Center (CAWSC), is to develop the capacity to map total mercury (THg) and MeHg in South San Francisco Bay (SFB) through the satellite remote sensing (Sentinel-2) of two known mercury indicators: total suspended solids (TSS) and colored dissolved organic matter (CDOM). In addition to quantifying the accuracy of this approach, this research aims in South SFB using the Sentinel-2 satellite in order to 1) improve understanding of region-wide mercury spatial and temporal trends associated with weather events and wetland restoration management activities, and 2) improve mercury monitoring efficiencies and capabilities moving forward. One main project objective is to assess the capacity to detect anomalies in remotely sensed TSS, CDOM, and mercury species associated with recent weather events or restoration activities through time series analysis. \nThe optical measurements reported here were collected to aid in the characterization of water sources and mixtures and establish proxies (surrogates) for mercury and methylmercury concentrations and to provide ground-truthing for remotely sensed models of dissolved organic carbon (DOC) concentrations. Data are compiled into five tables: 1) full fluorescence spectra in vectorized format (LSB_Hg_RS_EEMs_vectors.csv), 2) full absorbance spectra for 1 centimeter (cm) path measurements (LSB_Hg_RS_1cm_ABS_scans.csv), 3) full absorbance spectra for 10 cm path measurements (SSFB_Hg_RS_10cm_ABS_scans.csv), 4) absorption coefficients derived from the 10cm path measurements (SSFB_Hg_RS_10cm_ag_scans.csv), and 5) summary file of commonly extracted optical indicators and calculated wavelength-array values derived from the optical data that correspond to arrays measured by field-based sensors for use in statistical analyses and model development (LSB_Hg_RS_OMRL_Sample_Summary.csv).",
  "distribution": [
  {
  "@type": "dcat:Distribution",
- "accessURL": "https://doi.org/10.5066/P13PICVZ",
+ "accessURL": "https://doi.org/10.5066/P13JOXXA",
  "description": "Landing page for access to the data",
  "format": "XML",
  "mediaType": "application/http",
@@ -178,65 +132,57 @@
  {
  "@type": "dcat:Distribution",
  "description": "The metadata original format",
- "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.545bf875e4b009f8aec9b52a.xml",
+ "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.6a1f4a72b66b018da518f7ee.xml",
  "format": "XML",
  "mediaType": "text/xml",
  "title": "Original Metadata"
  }
  ],
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_545bf875e4b009f8aec9b52a",
- "keyword": [
- "Florida",
- "Gulf of Mexico",
- "Louisiana",
- "Texas",
- "USGS:545bf875e4b009f8aec9b52a",
- "climate change",
- "ecosystem monitoring",
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_6a1f4a72b66b018da518f7ee",
+ "keyword": [
+ "Absorbance",
+ "Aqualog",
+ "Dissolved Organic Matter",
+ "Fluorescence",
+ "Hydrology",
+ "USGS:6a1f4a72b66b018da518f7ee",
+ "Water Quality",
  "environment",
- "field inventory and monitoring",
- "forest",
- "mangrove",
- "migration",
- "wetlands"
+ "geoscientificInformation"
  ],
  "modified": "2026-09-22T00:00:00Z",
  "publisher": {
  "@type": "org:Organization",
  "name": "U.S. Geological Survey"
  },
- "spatial": "-97.1401, 27.8300, -83.0298, 29.2000",
- "theme": [
- "geospatial"
- ],
- "title": "Field Notes: Scanned Field Data Sheets and Field Notebook Pages for the following project - Ecological implications of mangrove forest migration in the southeastern US (2012-2013)"
- },
- "description": "Winter climate change has the potential to have a large impact on coastal wetlands in the southeastern U.S. Warmer winter temperatures and reductions in the intensity of freeze events would likely lead to mangrove forest range expansion and salt marsh displacement in parts of the U.S. Gulf of Mexico and Atlantic coast. The objective of this research was to better understand some of the ecological implications of mangrove forest migration and salt marsh displacement. The potential ecological effects of mangrove migration are diverse ranging from important biotic impacts (e.g., coastal fisheries, land bird migration; colonial nesting wading birds) to ecosystem stability (e.g., response to sea level rise and drought; habitat loss; coastal protection) to biogeochemical processes (e.g., carbon storage; water quality). In this research, our focus was on the impact of mangrove forest migration on coastal wetland soil processes and the consequent implications for coastal wetland responses to sea level rise, ecosystem resilience, and carbon storage. Our study specifically addressed the following questions: (1) How do ecological processes and ecosystem properties differ between salt marshes and mangrove forests; (2) As mangrove forests develop, how do their ecosystem properties change and how do these properties compare to salt marshes; (3) How do plant-soil interactions across mangrove forest structural gradients differ among three distinct locations that span the northern Gulf of Mexico; and (4) What are the implications of mangrove forest encroachment and development into salt marsh in terms of soil development, carbon and nitrogen storage, and soil strength? To address these questions, we utilized the salt marshes and natural mangrove forest structural gradients present at three distinct locations in the northern Gulf of Mexico: Cedar Key (Florida), Port Fourchon (Louisiana), and Port Aransas (Texas). Each of these locations represents a distinct combination of climate-driven abiotic conditions. We quantified relationships between plant community composition and structure, soil and porewater physicochemical properties, hydroperiod, and climatic conditions. The suite of measurements that we collected provide initial insights into how different geographic areas of an ecotone, with different environmental conditions, may be impacted by mangrove forest expansion and development, and how these changes may alter the supply of specific ecosystem goods and services. This file includes the scanned field notes associated with this project\nThis work was conducted via a collaborative effort between scientists at the U.S. Geological Survey National Wetland Research Center and the Department of Biology of the University of Louisiana at Lafayette.",
+ "spatial": "-122.4200, 37.4000, -121.9000, 37.6400",
+ "theme": [
+ "geospatial"
+ ],
+ "title": "Optical measurements for surface water samples collected within South San Francisco Bay in support of mercury modeling"
+ },
+ "description": "Little is known about mercury concentrations at bay margins, and how climate change, including changes in temperature and precipitation, will affect mercury exposure and methylmercury (MeHg) production. In addition, the San Francisco South Bay Salt Ponds Restoration Program (SBSPRP) needs more efficient and effective mercury monitoring approaches at larger spatial scales to understand changes in mercury at a regional level. The goal of this new project, a collaboration between the USGS Western Geographic Science Center, Water Mission Area, and the California Water Science Center (CAWSC), is to develop the capacity to map total mercury (THg) and MeHg in South San Francisco Bay (SFB) through the satellite remote sensing (Sentinel-2) of two known mercury indicators: total suspended solids (TSS) and colored dissolved organic matter (CDOM). In addition to quantifying the accuracy of this approach, this research aims in South SFB using the Sentinel-2 satellite in order to 1) improve understanding of region-wide mercury spatial and temporal trends associated with weather events and wetland restoration management activities, and 2) improve mercury monitoring efficiencies and capabilities moving forward. One main project objective is to assess the capacity to detect anomalies in remotely sensed TSS, CDOM, and mercury species associated with recent weather events or restoration activities through time series analysis. \nThe optical measurements reported here were collected to aid in the characterization of water sources and mixtures and establish proxies (surrogates) for mercury and methylmercury concentrations and to provide ground-truthing for remotely sensed models of dissolved organic carbon (DOC) concentrations. Data are compiled into five tables: 1) full fluorescence spectra in vectorized format (LSB_Hg_RS_EEMs_vectors.csv), 2) full absorbance spectra for 1 centimeter (cm) path measurements (LSB_Hg_RS_1cm_ABS_scans.csv), 3) full absorbance spectra for 10 cm path measurements (SSFB_Hg_RS_10cm_ABS_scans.csv), 4) absorption coefficients derived from the 10cm path measurements (SSFB_Hg_RS_10cm_ag_scans.csv), and 5) summary file of commonly extracted optical indicators and calculated wavelength-array values derived from the optical data that correspond to arrays measured by field-based sensors for use in statistical analyses and model development (LSB_Hg_RS_OMRL_Sample_Summary.csv).",
  "distribution_titles": [
  "Digital Data",
  "Original Metadata"
  ],
- "harvest_record": "https://catalog.data.gov/harvest_record/adb4a717-39a3-4429-a4ee-dc92e2baca66",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/adb4a717-39a3-4429-a4ee-dc92e2baca66/raw",
+ "harvest_record": "https://catalog.data.gov/harvest_record/15ca54a1-0bba-449c-add3-c77050e14527",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/15ca54a1-0bba-449c-add3-c77050e14527/raw",
  "has_download": true,
  "has_spatial": true,
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_545bf875e4b009f8aec9b52a",
- "keyword": [
- "Florida",
- "Gulf of Mexico",
- "Louisiana",
- "Texas",
- "USGS:545bf875e4b009f8aec9b52a",
- "climate change",
- "ecosystem monitoring",
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_6a1f4a72b66b018da518f7ee",
+ "keyword": [
+ "Absorbance",
+ "Aqualog",
+ "Dissolved Organic Matter",
+ "Fluorescence",
+ "Hydrology",
+ "USGS:6a1f4a72b66b018da518f7ee",
+ "Water Quality",
  "environment",
- "field inventory and monitoring",
- "forest",
- "mangrove",
- "migration",
- "wetlands"
- ],
- "last_harvested_date": "2026-09-27T00:19:20.650149",
+ "geoscientificInformation"
+ ],
+ "last_harvested_date": "2026-09-27T01:32:36.481698",
  "organization": {
  "aliases": [
  "dept"
@@ -253,33 +199,33 @@
  "parent_identifier": null,
  "popularity": 0,
  "publisher": "U.S. Geological Survey",
- "slug": "field-notes-scanned-field-data-sheets-and-field-notebook-pages-for-the-following-2012-2013",
+ "slug": "optical-measurements-for-surface-water-samples-collected-within-south-san-francisco-bay-in",
  "spatial_centroid": {
- "lat": 28.377999999999997,
- "lon": -91.49598
+ "lat": 37.495999999999995,
+ "lon": -122.21200000000002
  },
  "spatial_shape": {
  "coordinates": [
  [
  [
- -97.1401,
- 27.83
- ],
- [
- -97.1401,
- 29.2
- ],
- [
- -83.0298,
- 29.2
- ],
- [
- -83.0298,
- 27.83
- ],
- [
- -97.1401,
- 27.83
+ -122.42,
+ 37.4
+ ],
+ [
+ -122.42,
+ 37.64
+ ],
+ [
+ -121.9,
+ 37.64
+ ],
+ [
+ -121.9,
+ 37.4
+ ],
+ [
+ -122.42,
+ 37.4
  ]
  ]
  ],
@@ -288,16 +234,16 @@
  "theme": [
  "geospatial"
  ],
- "title": "Field Notes: Scanned Field Data Sheets and Field Notebook Pages for the following project - Ecological implications of mangrove forest migration in the southeastern US (2012-2013)",
+ "title": "Optical measurements for surface water samples collected within South San Francisco Bay in support of mercury modeling",
  "type": "dataset"
  },
  {
- "_score": 19.169281,
+ "_score": 11.834117,
  "_sort": [
- 1790468065327,
- 19.169281,
+ 1790472742953,
+ 11.834117,
  0,
- "3a818ef7-5dda-4081-b7b5-048266388c9a"
+ "2de4c217-bd1c-4956-a485-727d64cb6f41"
  ],
  "dcat": {
  "accessLevel": "public",
@@ -306,14 +252,14 @@
  ],
  "contactPoint": {
  "@type": "vcard:Contact",
- "fn": "Adam J Terando",
- "hasEmail": "mailto:aterando@usgs.gov"
- },
- "description": "Prescribed burning is a critical tool for managing wildfire risks and meeting ecological objectives, but its safe and effective application requires that specific meteorological criteria are met. This dataset contains results from a study examining the potential impacts of projected climatic change on prescribed burning in the southeastern United States. A set of burn window criteria (suitable weather conditions within which burning may occur based on maximum daily temperature, daily average relative humidity, and daily average wind speed), were applied to projections from an ensemble of Global Climate Models (GCM) under two greenhouse gas emission scenarios, as well as past observations for comparison. Data are provided as decadal output for observed conditions, and for individual GCM results for the historical climate scenario and the two future climate scenarios are provided. In addition, summary statistics (e.g., multi-model mean, and for selected quantiles) are provided for the GCM ensemble as a whole by decade.",
+ "fn": "Michael Osland",
+ "hasEmail": "mailto:mosland@usgs.gov"
+ },
+ "description": "Winter climate change has the potential to have a large impact on coastal wetlands in the southeastern U.S. Warmer winter temperatures and reductions in the intensity of freeze events would likely lead to mangrove forest range expansion and salt marsh displacement in parts of the U.S. Gulf of Mexico and Atlantic coast. The objective of this research was to better understand some of the ecological implications of mangrove forest migration and salt marsh displacement. The potential ecological effects of mangrove migration are diverse ranging from important biotic impacts (e.g., coastal fisheries, land bird migration; colonial nesting wading birds) to ecosystem stability (e.g., response to sea level rise and drought; habitat loss; coastal protection) to biogeochemical processes (e.g., carbon storage; water quality). In this research, our focus was on the impact of mangrove forest migration on coastal wetland soil processes and the consequent implications for coastal wetland responses to sea level rise, ecosystem resilience, and carbon storage. Our study specifically addressed the following questions: (1) How do ecological processes and ecosystem properties differ between salt marshes and mangrove forests; (2) As mangrove forests develop, how do their ecosystem properties change and how do these properties compare to salt marshes; (3) How do plant-soil interactions across mangrove forest structural gradients differ among three distinct locations that span the northern Gulf of Mexico; and (4) What are the implications of mangrove forest encroachment and development into salt marsh in terms of soil development, carbon and nitrogen storage, and soil strength? To address these questions, we utilized the salt marshes and natural mangrove forest structural gradients present at three distinct locations in the northern Gulf of Mexico: Cedar Key (Florida), Port Fourchon (Louisiana), and Port Aransas (Texas). Each of these locations represents a distinct combination of climate-driven abiotic conditions. We quantified relationships between plant community composition and structure, soil and porewater physicochemical properties, hydroperiod, and climatic conditions. The suite of measurements that we collected provide initial insights into how different geographic areas of an ecotone, with different environmental conditions, may be impacted by mangrove forest expansion and development, and how these changes may alter the supply of specific ecosystem goods and services. This file includes the subplot-level porewater physicochemical data.\nThis work was conducted via a collaborative effort between scientists at the U.S. Geological Survey National Wetland Research Center and the Department of Biology of the University of Louisiana at Lafayette.",
  "distribution": [
  {
  "@type": "dcat:Distribution",
- "accessURL": "https://doi.org/10.5066/P95BV7GE",
+ "accessURL": "https://doi.org/10.5066/P1GDTXUR",
  "description": "Landing page for access to the data",
  "format": "XML",
  "mediaType": "application/http",
@@ -322,13 +268,1383 @@
  {
  "@type": "dcat:Distribution",
  "description": "The metadata original format",
- "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.609c886fd34ea221ce3ac711.xml",
+ "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.545cfd67e4b0ba8303f713b3.xml",
  "format": "XML",
  "mediaType": "text/xml",
  "title": "Original Metadata"
  }
  ],
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_609c886fd34ea221ce3ac711",
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_545cfd67e4b0ba8303f713b3",
+ "keyword": [
+ "Cedar Key",
+ "Gulf of Mexico",
+ "Port Aransas",
+ "Port Fourchon",
+ "State of Florida",
+ "State of Louisiana",
+ "State of Texas",
+ "USGS:545cfd67e4b0ba8303f713b3",
+ "United States of America",
+ "conductivity",
+ "environment",
+ "pH",
+ "porewater",
+ "salinity",
+ "soil",
+ "temperature"
+ ],
+ "modified": "2026-09-22T00:00:00Z",
+ "publisher": {
+ "@type": "org:Organization",
+ "name": "U.S. Geological Survey"
+ },
+ "spatial": "-97.14012, 27.829952, -83.029848, 29.2",
+ "theme": [
+ "geospatial"
+ ],
+ "title": "Dataset 10: New porewater data collection: subplot-level physicochemical"
+ },
+ "description": "Winter climate change has the potential to have a large impact on coastal wetlands in the southeastern U.S. Warmer winter temperatures and reductions in the intensity of freeze events would likely lead to mangrove forest range expansion and salt marsh displacement in parts of the U.S. Gulf of Mexico and Atlantic coast. The objective of this research was to better understand some of the ecological implications of mangrove forest migration and salt marsh displacement. The potential ecological effects of mangrove migration are diverse ranging from important biotic impacts (e.g., coastal fisheries, land bird migration; colonial nesting wading birds) to ecosystem stability (e.g., response to sea level rise and drought; habitat loss; coastal protection) to biogeochemical processes (e.g., carbon storage; water quality). In this research, our focus was on the impact of mangrove forest migration on coastal wetland soil processes and the consequent implications for coastal wetland responses to sea level rise, ecosystem resilience, and carbon storage. Our study specifically addressed the following questions: (1) How do ecological processes and ecosystem properties differ between salt marshes and mangrove forests; (2) As mangrove forests develop, how do their ecosystem properties change and how do these properties compare to salt marshes; (3) How do plant-soil interactions across mangrove forest structural gradients differ among three distinct locations that span the northern Gulf of Mexico; and (4) What are the implications of mangrove forest encroachment and development into salt marsh in terms of soil development, carbon and nitrogen storage, and soil strength? To address these questions, we utilized the salt marshes and natural mangrove forest structural gradients present at three distinct locations in the northern Gulf of Mexico: Cedar Key (Florida), Port Fourchon (Louisiana), and Port Aransas (Texas). Each of these locations represents a distinct combination of climate-driven abiotic conditions. We quantified relationships between plant community composition and structure, soil and porewater physicochemical properties, hydroperiod, and climatic conditions. The suite of measurements that we collected provide initial insights into how different geographic areas of an ecotone, with different environmental conditions, may be impacted by mangrove forest expansion and development, and how these changes may alter the supply of specific ecosystem goods and services. This file includes the subplot-level porewater physicochemical data.\nThis work was conducted via a collaborative effort between scientists at the U.S. Geological Survey National Wetland Research Center and the Department of Biology of the University of Louisiana at Lafayette.",
+ "distribution_titles": [
+ "Digital Data",
+ "Original Metadata"
+ ],
+ "harvest_record": "https://catalog.data.gov/harvest_record/dd14165e-9e54-4e6c-9b86-0632416be629",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/dd14165e-9e54-4e6c-9b86-0632416be629/raw",
+ "has_download": true,
+ "has_spatial": true,
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_545cfd67e4b0ba8303f713b3",
+ "keyword": [
+ "Cedar Key",
+ "Gulf of Mexico",
+ "Port Aransas",
+ "Port Fourchon",
+ "State of Florida",
+ "State of Louisiana",
+ "State of Texas",
+ "USGS:545cfd67e4b0ba8303f713b3",
+ "United States of America",
+ "conductivity",
+ "environment",
+ "pH",
+ "porewater",
+ "salinity",
+ "soil",
+ "temperature"
+ ],
+ "last_harvested_date": "2026-09-27T01:32:22.953705",
+ "organization": {
+ "aliases": [
+ "dept"
+ ],
+ "code_repo_exempt": false,
+ "code_repo_url": null,
+ "description": null,
+ "id": "143529f7-2eef-4a07-b227-93ac9e84fad8",
+ "logo": "https://raw.githubusercontent.com/GSA/logo/master/doi.png",
+ "name": "Department of the Interior",
+ "organization_type": "Federal Government",
+ "slug": "doi"
+ },
+ "parent_identifier": null,
+ "popularity": 0,
+ "publisher": "U.S. Geological Survey",
+ "slug": "dataset-10-new-porewater-data-collection-subplot-level-physicochemical",
+ "spatial_centroid": {
+ "lat": 28.3779712,
+ "lon": -91.4960112
+ },
+ "spatial_shape": {
+ "coordinates": [
+ [
+ [
+ -97.14012,
+ 27.829952
+ ],
+ [
+ -97.14012,
+ 29.2
+ ],
+ [
+ -83.029848,
+ 29.2
+ ],
+ [
+ -83.029848,
+ 27.829952
+ ],
+ [
+ -97.14012,
+ 27.829952
+ ]
+ ]
+ ],
+ "type": "Polygon"
+ },
+ "theme": [
+ "geospatial"
+ ],
+ "title": "Dataset 10: New porewater data collection: subplot-level physicochemical",
+ "type": "dataset"
+ },
+ {
+ "_score": 19.842083,
+ "_sort": [
+ 1790472707852,
+ 19.842083,
+ 0,
+ "92f7c2e6-9df7-4648-b4ac-fb5207db235b"
+ ],
+ "dcat": {
+ "accessLevel": "public",
+ "bureauCode": [
+ "010:12"
+ ],
+ "contactPoint": {
+ "@type": "vcard:Contact",
+ "fn": "Peter Caldwell, PhD",
+ "hasEmail": "mailto:pcaldwell02@fs.fed.us"
+ },
+ "description": "Stream flows are essential for maintaining healthy aquatic ecosystems and for supporting human water supply needs. Integrated modeling approaches assessing the impact of changes in climate, land use, and water withdrawals on stream flows and the subsequent impact of changes in flow regime on aquatic biota at multiple spatial scales are necessary to insure an adequate supply of water for humans and healthy river ecosystems. We compared streamflow predictions from a regional-scale hydrological model to those of several fine-scale SW models under a range of hypothetical climate change scenarios to determine the range of predicted streamflow responses to fixed climate perturbations.This spreadsheet contains the results of a study investigating the sensitivity of predicted discharge to changes in precipitation and temperature inputs for a coarse scale (WaSSI) and three fine scale (HSPF, SWAT, WaterFALL) hydrologic models at a single site (02347500, FLINT RIVER AT US 19, NEAR CARSONVILLE, GA) from 1981 to 1999. The objective of this study was to demonstrate the feasibility of using regional and local scale models to identify unique areas of concern and understand fine scale hydrologic dynamics under climate change. Descriptions of the models and results of the study are detailed in the final report.",
+ "distribution": [
+ {
+ "@type": "dcat:Distribution",
+ "accessURL": "https://doi.org/10.5066/P14MMNBE",
+ "description": "Landing page for access to the data",
+ "format": "XML",
+ "mediaType": "application/http",
+ "title": "Digital Data"
+ },
+ {
+ "@type": "dcat:Distribution",
+ "description": "The metadata original format",
+ "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.57641394e4b07657d19ba808.xml",
+ "format": "XML",
+ "mediaType": "text/xml",
+ "title": "Original Metadata"
+ }
+ ],
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_57641394e4b07657d19ba808",
+ "keyword": [
+ "ELOHA",
+ "USGS:57641394e4b07657d19ba808",
+ "calibration",
+ "ecosystem health",
+ "environmental flow",
+ "hydrologic models",
+ "uncertainty",
+ "water supply"
+ ],
+ "modified": "2026-09-22T00:00:00Z",
+ "publisher": {
+ "@type": "org:Organization",
+ "name": "U.S. Geological Survey"
+ },
+ "spatial": "-106.645782, 17.884190, -65.220856, 40.638554",
+ "theme": [
+ "geospatial"
+ ],
+ "title": "Regional to local coarse to fine scale global change impact study on flow"
+ },
+ "description": "Stream flows are essential for maintaining healthy aquatic ecosystems and for supporting human water supply needs. Integrated modeling approaches assessing the impact of changes in climate, land use, and water withdrawals on stream flows and the subsequent impact of changes in flow regime on aquatic biota at multiple spatial scales are necessary to insure an adequate supply of water for humans and healthy river ecosystems. We compared streamflow predictions from a regional-scale hydrological model to those of several fine-scale SW models under a range of hypothetical climate change scenarios to determine the range of predicted streamflow responses to fixed climate perturbations.This spreadsheet contains the results of a study investigating the sensitivity of predicted discharge to changes in precipitation and temperature inputs for a coarse scale (WaSSI) and three fine scale (HSPF, SWAT, WaterFALL) hydrologic models at a single site (02347500, FLINT RIVER AT US 19, NEAR CARSONVILLE, GA) from 1981 to 1999. The objective of this study was to demonstrate the feasibility of using regional and local scale models to identify unique areas of concern and understand fine scale hydrologic dynamics under climate change. Descriptions of the models and results of the study are detailed in the final report.",
+ "distribution_titles": [
+ "Digital Data",
+ "Original Metadata"
+ ],
+ "harvest_record": "https://catalog.data.gov/harvest_record/ee5e8ccb-4d1c-4e7f-96dc-3ce2a85687c9",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/ee5e8ccb-4d1c-4e7f-96dc-3ce2a85687c9/raw",
+ "has_download": true,
+ "has_spatial": true,
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_57641394e4b07657d19ba808",
+ "keyword": [
+ "ELOHA",
+ "USGS:57641394e4b07657d19ba808",
+ "calibration",
+ "ecosystem health",
+ "environmental flow",
+ "hydrologic models",
+ "uncertainty",
+ "water supply"
+ ],
+ "last_harvested_date": "2026-09-27T01:31:47.852515",
+ "organization": {
+ "aliases": [
+ "dept"
+ ],
+ "code_repo_exempt": false,
+ "code_repo_url": null,
+ "description": null,
+ "id": "143529f7-2eef-4a07-b227-93ac9e84fad8",
+ "logo": "https://raw.githubusercontent.com/GSA/logo/master/doi.png",
+ "name": "Department of the Interior",
+ "organization_type": "Federal Government",
+ "slug": "doi"
+ },
+ "parent_identifier": null,
+ "popularity": 0,
+ "publisher": "U.S. Geological Survey",
+ "slug": "regional-to-local-coarse-to-fine-scale-global-change-impact-study-on-flow",
+ "spatial_centroid": {
+ "lat": 26.985935599999998,
+ "lon": -90.0758116
+ },
+ "spatial_shape": {
+ "coordinates": [
+ [
+ [
+ -106.645782,
+ 17.88419
+ ],
+ [
+ -106.645782,
+ 40.638554
+ ],
+ [
+ -65.220856,
+ 40.638554
+ ],
+ [
+ -65.220856,
+ 17.88419
+ ],
+ [
+ -106.645782,
+ 17.88419
+ ]
+ ]
+ ],
+ "type": "Polygon"
+ },
+ "theme": [
+ "geospatial"
+ ],
+ "title": "Regional to local coarse to fine scale global change impact study on flow",
+ "type": "dataset"
+ },
+ {
+ "_score": 57.346794,
+ "_sort": [
+ 1790472630452,
+ 57.346794,
+ 0,
+ "3ec0cdfe-f225-4162-a45a-4b677bcabd12"
+ ],
+ "dcat": {
+ "accessLevel": "public",
+ "bureauCode": [
+ "010:12"
+ ],
+ "contactPoint": {
+ "@type": "vcard:Contact",
+ "fn": "Climate Adaptation Science Centers",
+ "hasEmail": "mailto:casc-data@usgs.gov"
+ },
+ "description": "This file contains results from the project \"Assessing climate-sensitive ecosystems in the southeastern U.S.\", funded by the Department of Interior's Southeast Climate Science Center. Metrics fitting the categories of sensitivity, exposure, and adaptive capacity were calculated for twelve ecosystems in the southeastern U.S. and the Caribbean. Metrics include historic temperature and precipitation, projected future climate variables under two emissions scenarios, projected area affected by sea level rise, proportion of each under protected status, distance from developed areas, variation in elevation, and human modification.",
+ "distribution": [
+ {
+ "@type": "dcat:Distribution",
+ "accessURL": "https://doi.org/10.5066/P13XKNSM",
+ "description": "Landing page for access to the data",
+ "format": "XML",
+ "mediaType": "application/http",
+ "title": "Digital Data"
+ },
+ {
+ "@type": "dcat:Distribution",
+ "description": "The metadata original format",
+ "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.5440048be4b065f4ad22d2aa.xml",
+ "format": "XML",
+ "mediaType": "text/xml",
+ "title": "Original Metadata"
+ }
+ ],
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_5440048be4b065f4ad22d2aa",
+ "keyword": [
+ "Caribbean",
+ "Southeastern US",
+ "USGS:5440048be4b065f4ad22d2aa",
+ "biota",
+ "climate change",
+ "ecosystems",
+ "external research support",
+ "habitat fragmentation",
+ "modeling",
+ "state and transition modeling",
+ "terrestrial ecosystems"
+ ],
+ "modified": "2026-09-22T00:00:00Z",
+ "publisher": {
+ "@type": "org:Organization",
+ "name": "U.S. Geological Survey"
+ },
+ "spatial": "-91.6300, 19.2697, -67.1484, 36.6400",
+ "theme": [
+ "geospatial"
+ ],
+ "title": "Climate sensitivity, exposure, and adaptive capacity results for twelve ecosystems in the southeastern US (2014)"
+ },
+ "description": "This file contains results from the project \"Assessing climate-sensitive ecosystems in the southeastern U.S.\", funded by the Department of Interior's Southeast Climate Science Center. Metrics fitting the categories of sensitivity, exposure, and adaptive capacity were calculated for twelve ecosystems in the southeastern U.S. and the Caribbean. Metrics include historic temperature and precipitation, projected future climate variables under two emissions scenarios, projected area affected by sea level rise, proportion of each under protected status, distance from developed areas, variation in elevation, and human modification.",
+ "distribution_titles": [
+ "Digital Data",
+ "Original Metadata"
+ ],
+ "harvest_record": "https://catalog.data.gov/harvest_record/c9e9eded-0ba8-4536-ad27-4aafe8b8a587",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/c9e9eded-0ba8-4536-ad27-4aafe8b8a587/raw",
+ "has_download": true,
+ "has_spatial": true,
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_5440048be4b065f4ad22d2aa",
+ "keyword": [
+ "Caribbean",
+ "Southeastern US",
+ "USGS:5440048be4b065f4ad22d2aa",
+ "biota",
+ "climate change",
+ "ecosystems",
+ "external research support",
+ "habitat fragmentation",
+ "modeling",
+ "state and transition modeling",
+ "terrestrial ecosystems"
+ ],
+ "last_harvested_date": "2026-09-27T01:30:30.452526",
+ "organization": {
+ "aliases": [
+ "dept"
+ ],
+ "code_repo_exempt": false,
+ "code_repo_url": null,
+ "description": null,
+ "id": "143529f7-2eef-4a07-b227-93ac9e84fad8",
+ "logo": "https://raw.githubusercontent.com/GSA/logo/master/doi.png",
+ "name": "Department of the Interior",
+ "organization_type": "Federal Government",
+ "slug": "doi"
+ },
+ "parent_identifier": null,
+ "popularity": 0,
+ "publisher": "U.S. Geological Survey",
+ "slug": "climate-sensitivity-exposure-and-adaptive-capacity-results-for-twelve-ecosystems-in-t-2014",
+ "spatial_centroid": {
+ "lat": 26.21782,
+ "lon": -81.83735999999999
+ },
+ "spatial_shape": {
+ "coordinates": [
+ [
+ [
+ -91.63,
+ 19.2697
+ ],
+ [
+ -91.63,
+ 36.64
+ ],
+ [
+ -67.1484,
+ 36.64
+ ],
+ [
+ -67.1484,
+ 19.2697
+ ],
+ [
+ -91.63,
+ 19.2697
+ ]
+ ]
+ ],
+ "type": "Polygon"
+ },
+ "theme": [
+ "geospatial"
+ ],
+ "title": "Climate sensitivity, exposure, and adaptive capacity results for twelve ecosystems in the southeastern US (2014)",
+ "type": "dataset"
+ },
+ {
+ "_score": 9.831621,
+ "_sort": [
+ 1790472541809,
+ 9.831621,
+ 0,
+ "e7655769-500a-4b07-b330-f284c30c74b1"
+ ],
+ "dcat": {
+ "accessLevel": "public",
+ "bureauCode": [
+ "010:12"
+ ],
+ "contactPoint": {
+ "@type": "vcard:Contact",
+ "fn": "Steven Frank",
+ "hasEmail": "mailto:casc-data@usgs.gov"
+ },
+ "description": "In this study, we investigated how the interaction of urbanization, latitudinal warming, and scale insect abundance affected urban tree health. We predicted that trees in warmer, lower latitude cities would be in poorer health at lower levels of urbanization than trees at cooler, higher latitudes due to the interaction of urbanization, latitudinal temperature, and herbivory. To evaluate our predictions, we surveyed the abundance of scale insect herbivores on a single, common tree species (Acer rubrum) in eight US cities spanning 10° of latitude. We estimated urbanization at two extents, a local one that accounted for the direct effects on an individual tree, and a larger one that captured the surrounding urban landscape.",
+ "distribution": [
+ {
+ "@type": "dcat:Distribution",
+ "accessURL": "https://doi.org/10.5066/P1YDVJN2",
+ "description": "Landing page for access to the data",
+ "format": "XML",
+ "mediaType": "application/http",
+ "title": "Digital Data"
+ },
+ {
+ "@type": "dcat:Distribution",
+ "description": "The metadata original format",
+ "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.62b9e2d0d34e8f4977cc9f14.xml",
+ "format": "XML",
+ "mediaType": "text/xml",
+ "title": "Original Metadata"
+ }
+ ],
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_62b9e2d0d34e8f4977cc9f14",
+ "keyword": [
+ "USGS:62b9e2d0d34e8f4977cc9f14",
+ "acer rubrum",
+ "biota",
+ "climate",
+ "environment",
+ "external research support",
+ "latitude",
+ "pests",
+ "urban heat island"
+ ],
+ "modified": "2026-09-23T00:00:00Z",
+ "publisher": {
+ "@type": "org:Organization",
+ "name": "U.S. Geological Survey"
+ },
+ "theme": [
+ "geospatial"
+ ],
+ "title": "Scale insect abundance, impervious surface proportions, and temperature data for Acer rubrum study trees"
+ },
+ "description": "In this study, we investigated how the interaction of urbanization, latitudinal warming, and scale insect abundance affected urban tree health. We predicted that trees in warmer, lower latitude cities would be in poorer health at lower levels of urbanization than trees at cooler, higher latitudes due to the interaction of urbanization, latitudinal temperature, and herbivory. To evaluate our predictions, we surveyed the abundance of scale insect herbivores on a single, common tree species (Acer rubrum) in eight US cities spanning 10° of latitude. We estimated urbanization at two extents, a local one that accounted for the direct effects on an individual tree, and a larger one that captured the surrounding urban landscape.",
+ "distribution_titles": [
+ "Digital Data",
+ "Original Metadata"
+ ],
+ "harvest_record": "https://catalog.data.gov/harvest_record/6248918f-efa7-4af0-bc9e-12ce2bfedad5",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/6248918f-efa7-4af0-bc9e-12ce2bfedad5/raw",
+ "has_download": true,
+ "has_spatial": true,
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_62b9e2d0d34e8f4977cc9f14",
+ "keyword": [
+ "USGS:62b9e2d0d34e8f4977cc9f14",
+ "acer rubrum",
+ "biota",
+ "climate",
+ "environment",
+ "external research support",
+ "latitude",
+ "pests",
+ "urban heat island"
+ ],
+ "last_harvested_date": "2026-09-27T01:29:01.809754",
+ "organization": {
+ "aliases": [
+ "dept"
+ ],
+ "code_repo_exempt": false,
+ "code_repo_url": null,
+ "description": null,
+ "id": "143529f7-2eef-4a07-b227-93ac9e84fad8",
+ "logo": "https://raw.githubusercontent.com/GSA/logo/master/doi.png",
+ "name": "Department of the Interior",
+ "organization_type": "Federal Government",
+ "slug": "doi"
+ },
+ "parent_identifier": null,
+ "popularity": 0,
+ "publisher": "U.S. Geological Survey",
+ "slug": "scale-insect-abundance-impervious-surface-proportions-and-temperature-data-for-acer-rubrum",
+ "spatial_centroid": null,
+ "spatial_shape": null,
+ "theme": [
+ "geospatial"
+ ],
+ "title": "Scale insect abundance, impervious surface proportions, and temperature data for Acer rubrum study trees",
+ "type": "dataset"
+ },
+ {
+ "_score": 11.595825,
+ "_sort": [
+ 1790472439207,
+ 11.595825,
+ 0,
+ "dc2f2cab-5061-415b-b776-a7896073a8c6"
+ ],
+ "dcat": {
+ "accessLevel": "public",
+ "bureauCode": [
+ "010:12"
+ ],
+ "contactPoint": {
+ "@type": "vcard:Contact",
+ "fn": "Peter Caldwell, PhD",
+ "hasEmail": "mailto:pcaldwell02@fs.fed.us"
+ },
+ "description": "Stream flows are essential for maintaining healthy aquatic ecosystems and for supporting human water supply needs. Integrated modeling approaches assessing the impact of changes in climate, land use, and water withdrawals on stream flows and the subsequent impact of changes in flow regime on aquatic biota at multiple spatial scales are necessary to insure an adequate supply of water for humans and healthy river ecosystems. This report inventories and then directly examines and compares a subset of hydrological models implemented in the Southeastern US that were used to estimate streamflow at a number of gaged basins across the region. This effort was designed to evaluate, quantify and compare the magnitude, and investigate the potential causes of error, associated with predicted streamflows from seven hydrologic models of varying complexity and calibration strategy. This was accomplished by computing and then comparing classical hydrologic model fit statistics (e.g., mean bias, coefficient of determination, root mean squared error, NSE), and understanding the bias in the prediction in these and a subset of ecologically relevant flow metrics (ERFM).This spreadsheet contains model fit statistics for the model comparison workshop across 195 USGS streamflow gauges in the southeast. Descriptions of the models included are detailed in the final report.",
+ "distribution": [
+ {
+ "@type": "dcat:Distribution",
+ "accessURL": "https://doi.org/10.5066/P144OWF2",
+ "description": "Landing page for access to the data",
+ "format": "XML",
+ "mediaType": "application/http",
+ "title": "Digital Data"
+ },
+ {
+ "@type": "dcat:Distribution",
+ "description": "The metadata original format",
+ "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.560c352be4b058f706e54119.xml",
+ "format": "XML",
+ "mediaType": "text/xml",
+ "title": "Original Metadata"
+ }
+ ],
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_560c352be4b058f706e54119",
+ "keyword": [
+ "ELOHA",
+ "USGS:560c352be4b058f706e54119",
+ "calibration",
+ "ecosystem health",
+ "environmental flow",
+ "hydrologic models",
+ "modeling",
+ "state and transition modeling",
+ "steam-gage measurement",
+ "streamflow",
+ "uncertainty",
+ "water supply",
+ "water supply and demand"
+ ],
+ "modified": "2026-09-22T00:00:00Z",
+ "publisher": {
+ "@type": "org:Organization",
+ "name": "U.S. Geological Survey"
+ },
+ "spatial": "-106.645782, 17.884190, -65.220856, 40.638554",
+ "theme": [
+ "geospatial"
+ ],
+ "title": "Large-scale and fine-scale model outputs for model comparison workshop"
+ },
+ "description": "Stream flows are essential for maintaining healthy aquatic ecosystems and for supporting human water supply needs. Integrated modeling approaches assessing the impact of changes in climate, land use, and water withdrawals on stream flows and the subsequent impact of changes in flow regime on aquatic biota at multiple spatial scales are necessary to insure an adequate supply of water for humans and healthy river ecosystems. This report inventories and then directly examines and compares a subset of hydrological models implemented in the Southeastern US that were used to estimate streamflow at a number of gaged basins across the region. This effort was designed to evaluate, quantify and compare the magnitude, and investigate the potential causes of error, associated with predicted streamflows from seven hydrologic models of varying complexity and calibration strategy. This was accomplished by computing and then comparing classical hydrologic model fit statistics (e.g., mean bias, coefficient of determination, root mean squared error, NSE), and understanding the bias in the prediction in these and a subset of ecologically relevant flow metrics (ERFM).This spreadsheet contains model fit statistics for the model comparison workshop across 195 USGS streamflow gauges in the southeast. Descriptions of the models included are detailed in the final report.",
+ "distribution_titles": [
+ "Digital Data",
+ "Original Metadata"
+ ],
+ "harvest_record": "https://catalog.data.gov/harvest_record/93578628-6176-4591-8440-05e0e6fbacdb",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/93578628-6176-4591-8440-05e0e6fbacdb/raw",
+ "has_download": true,
+ "has_spatial": true,
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_560c352be4b058f706e54119",
+ "keyword": [
+ "ELOHA",
+ "USGS:560c352be4b058f706e54119",
+ "calibration",
+ "ecosystem health",
+ "environmental flow",
+ "hydrologic models",
+ "modeling",
+ "state and transition modeling",
+ "steam-gage measurement",
+ "streamflow",
+ "uncertainty",
+ "water supply",
+ "water supply and demand"
+ ],
+ "last_harvested_date": "2026-09-27T01:27:19.207483",
+ "organization": {
+ "aliases": [
+ "dept"
+ ],
+ "code_repo_exempt": false,
+ "code_repo_url": null,
+ "description": null,
+ "id": "143529f7-2eef-4a07-b227-93ac9e84fad8",
+ "logo": "https://raw.githubusercontent.com/GSA/logo/master/doi.png",
+ "name": "Department of the Interior",
+ "organization_type": "Federal Government",
+ "slug": "doi"
+ },
+ "parent_identifier": null,
+ "popularity": 0,
+ "publisher": "U.S. Geological Survey",
+ "slug": "large-scale-and-fine-scale-model-outputs-for-model-comparison-workshop",
+ "spatial_centroid": {
+ "lat": 26.985935599999998,
+ "lon": -90.0758116
+ },
+ "spatial_shape": {
+ "coordinates": [
+ [
+ [
+ -106.645782,
+ 17.88419
+ ],
+ [
+ -106.645782,
+ 40.638554
+ ],
+ [
+ -65.220856,
+ 40.638554
+ ],
+ [
+ -65.220856,
+ 17.88419
+ ],
+ [
+ -106.645782,
+ 17.88419
+ ]
+ ]
+ ],
+ "type": "Polygon"
+ },
+ "theme": [
+ "geospatial"
+ ],
+ "title": "Large-scale and fine-scale model outputs for model comparison workshop",
+ "type": "dataset"
+ },
+ {
+ "_score": 59.12581,
+ "_sort": [
+ 1790472250673,
+ 59.12581,
+ 0,
+ "018dde7f-1cfc-45ab-969b-5369eccca13e"
+ ],
+ "dcat": {
+ "accessLevel": "public",
+ "bureauCode": [
+ "010:12"
+ ],
+ "contactPoint": {
+ "@type": "vcard:Contact",
+ "fn": "Katherine Abbott",
+ "hasEmail": "mailto:kmabbott@umass.edu"
+ },
+ "description": "Incorporating climate change into conservation and restoration decisions is increasingly important for natural resource managers and restoration practitioners. Dam removal is an example of a restoration tool that may offer multiple socio-economic and ecological benefits in urban streams and promote climate resilience. With the pace of dam removals increasing, practitioners and researchers are well-poised to incorporate climate change into future dam removal decisions. Therefore, we surveyed dam removal practitioners across 14 states in the eastern United States to understand current practices of dam removals, factors driving restoration decisions, and how climate change knowledge is incorporated into these decisions. We also aimed to identify barriers to and opportunities for knowledge exchange between practitioners and researchers. Of the 100 respondents, most (79%) consider climate change in their dam removal decisions to some extent. Despite this, many reported a lack of clear, relevant, and accessible data linking dam removal to climate resilience benefits. Dam removal practitioners also indicated that they most often rely on climate change information garnered from conversations with colleagues, rather than from scientific research products. These results suggest that the co-production of relevant, salient research questions and readily accessible and interpretable research products (e.g., technical summaries, open access articles) may encourage practitioners to incorporate climate change science more consistently and efficiently into dam removal decisions. These findings may also translate to other stream restoration efforts to inform knowledge exchange and improve restoration outcomes in a changing climate.",
+ "distribution": [
+ {
+ "@type": "dcat:Distribution",
+ "accessURL": "https://doi.org/10.21429/s2pe-ww46",
+ "description": "Landing page for access to the data",
+ "format": "XML",
+ "mediaType": "application/http",
+ "title": "Digital Data"
+ },
+ {
+ "@type": "dcat:Distribution",
+ "description": "The metadata original format",
+ "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.64386ed4d34ee8d4addf0da9.xml",
+ "format": "XML",
+ "mediaType": "text/xml",
+ "title": "Original Metadata"
+ }
+ ],
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_64386ed4d34ee8d4addf0da9",
+ "keyword": [
+ "USGS:64386ed4d34ee8d4addf0da9",
+ "biota",
+ "climate change",
+ "dam removal",
+ "practitioner survey",
+ "social sciences"
+ ],
+ "modified": "2026-09-23T00:00:00Z",
+ "publisher": {
+ "@type": "org:Organization",
+ "name": "U.S. Geological Survey"
+ },
+ "spatial": "-89.5100, 36.4972, -66.9504, 47.4582",
+ "theme": [
+ "geospatial"
+ ],
+ "title": "Dam removal practitioner perspectives on incorporating climate change into dam removal decisions in the eastern United States"
+ },
+ "description": "Incorporating climate change into conservation and restoration decisions is increasingly important for natural resource managers and restoration practitioners. Dam removal is an example of a restoration tool that may offer multiple socio-economic and ecological benefits in urban streams and promote climate resilience. With the pace of dam removals increasing, practitioners and researchers are well-poised to incorporate climate change into future dam removal decisions. Therefore, we surveyed dam removal practitioners across 14 states in the eastern United States to understand current practices of dam removals, factors driving restoration decisions, and how climate change knowledge is incorporated into these decisions. We also aimed to identify barriers to and opportunities for knowledge exchange between practitioners and researchers. Of the 100 respondents, most (79%) consider climate change in their dam removal decisions to some extent. Despite this, many reported a lack of clear, relevant, and accessible data linking dam removal to climate resilience benefits. Dam removal practitioners also indicated that they most often rely on climate change information garnered from conversations with colleagues, rather than from scientific research products. These results suggest that the co-production of relevant, salient research questions and readily accessible and interpretable research products (e.g., technical summaries, open access articles) may encourage practitioners to incorporate climate change science more consistently and efficiently into dam removal decisions. These findings may also translate to other stream restoration efforts to inform knowledge exchange and improve restoration outcomes in a changing climate.",
+ "distribution_titles": [
+ "Digital Data",
+ "Original Metadata"
+ ],
+ "harvest_record": "https://catalog.data.gov/harvest_record/aaef907e-2801-45c0-b46c-0bb513d7b152",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/aaef907e-2801-45c0-b46c-0bb513d7b152/raw",
+ "has_download": true,
+ "has_spatial": true,
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_64386ed4d34ee8d4addf0da9",
+ "keyword": [
+ "USGS:64386ed4d34ee8d4addf0da9",
+ "biota",
+ "climate change",
+ "dam removal",
+ "practitioner survey",
+ "social sciences"
+ ],
+ "last_harvested_date": "2026-09-27T01:24:10.673243",
+ "organization": {
+ "aliases": [
+ "dept"
+ ],
+ "code_repo_exempt": false,
+ "code_repo_url": null,
+ "description": null,
+ "id": "143529f7-2eef-4a07-b227-93ac9e84fad8",
+ "logo": "https://raw.githubusercontent.com/GSA/logo/master/doi.png",
+ "name": "Department of the Interior",
+ "organization_type": "Federal Government",
+ "slug": "doi"
+ },
+ "parent_identifier": null,
+ "popularity": 0,
+ "publisher": "U.S. Geological Survey",
+ "slug": "dam-removal-practitioner-perspectives-on-incorporating-climate-change-into-dam-removal-dec",
+ "spatial_centroid": {
+ "lat": 40.8816,
+ "lon": -80.48616000000001
+ },
+ "spatial_shape": {
+ "coordinates": [
+ [
+ [
+ -89.51,
+ 36.4972
+ ],
+ [
+ -89.51,
+ 47.4582
+ ],
+ [
+ -66.9504,
+ 47.4582
+ ],
+ [
+ -66.9504,
+ 36.4972
+ ],
+ [
+ -89.51,
+ 36.4972
+ ]
+ ]
+ ],
+ "type": "Polygon"
+ },
+ "theme": [
+ "geospatial"
+ ],
+ "title": "Dam removal practitioner perspectives on incorporating climate change into dam removal decisions in the eastern United States",
+ "type": "dataset"
+ },
+ {
+ "_score": 49.572357,
+ "_sort": [
+ 1790472243298,
+ 49.572357,
+ 2,
+ "cdcbbcfa-d134-491d-8f23-328f407f54ad"
+ ],
+ "dcat": {
+ "accessLevel": "public",
+ "bureauCode": [
+ "010:12"
+ ],
+ "contactPoint": {
+ "@type": "vcard:Contact",
+ "fn": "James W. Cain",
+ "hasEmail": "mailto:jwcain@usgs.gov"
+ },
+ "description": "Natural selection may result in local adaptation to different environmental conditions across the range of a species. Understanding local adaptation, in turn, informs management decisions such as translocation to restore locally-extinct populations. We used a landscape genomics approach to detect genetic signatures of selection related to climatic variation among desert bighorn sheep populations across their indigenous range in the western United States. This approach allowed us to investigate broad patterns of both neutral and adaptive genetic variation across very different environments. Analyses suggested that ancestry and isolation by distance were the most significant forces driving genetic variation in desert bighorn sheep, but that climate was associated with at least 1 locus (i.e., location on the genome) under directional selection. The alternate allele (i.e., variant) at this locus was associated with biologically significant increases in elevation and precipitation, decreases in temperature, and was nearly private to herds occupying the Great Basin ecosystem. Our results suggest climate conditions at higher latitudes may have resulted in a distinct ecotype of desert bighorn sheep whose adaptations are still apparent among the few remaining indigenous populations in the Great Basin. We also found 2 highly supported candidate genes in the genomic region linked to this outlier. How the molecular function of these candidate genes may affect physiological response of desert bighorn sheep to climate is unclear, although their identification provides new insight into the genetic mechanisms potentially underlying environmental adaptation. We identified several other loci under strong directional selection not related to climate and described a previously unknown pattern of strong genetic divergence of bighorn sheep within the White Mountains compared to other populations. Overall, these findings suggest selection from environmental factors may influence genomic variation at the ecosystem-scale in desert bighorn sheep and these results extend our understanding of how this subspecies may respond to different environmental conditions.",
+ "distribution": [
+ {
+ "@type": "dcat:Distribution",
+ "accessURL": "https://doi.org/10.5066/P973OBB0",
+ "description": "Landing page for access to the data",
+ "format": "XML",
+ "mediaType": "application/http",
+ "title": "Digital Data"
+ },
+ {
+ "@type": "dcat:Distribution",
+ "description": "The metadata original format",
+ "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.5c1a995be4b0708288c59a87.xml",
+ "format": "XML",
+ "mediaType": "text/xml",
+ "title": "Original Metadata"
+ }
+ ],
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_5c1a995be4b0708288c59a87",
+ "keyword": [
+ "Arizona",
+ "California",
+ "Genetic capacity",
+ "Nevada",
+ "USGS:5c1a995be4b0708288c59a87",
+ "biota",
+ "desert bighorn sheep"
+ ],
+ "modified": "2026-09-21T00:00:00Z",
+ "publisher": {
+ "@type": "org:Organization",
+ "name": "U.S. Geological Survey"
+ },
+ "spatial": "-118.3300, 32.5100, -112.7000, 37.9600",
+ "theme": [
+ "geospatial"
+ ],
+ "title": "Evaluating Adaptive Capacity of Desert Bighorn Sheep to Climate Change: Identifying Genetic to Climate Adaptations in Native and Reintroduced Populations-Major Allele Frequency by Population"
+ },
+ "description": "Natural selection may result in local adaptation to different environmental conditions across the range of a species. Understanding local adaptation, in turn, informs management decisions such as translocation to restore locally-extinct populations. We used a landscape genomics approach to detect genetic signatures of selection related to climatic variation among desert bighorn sheep populations across their indigenous range in the western United States. This approach allowed us to investigate broad patterns of both neutral and adaptive genetic variation across very different environments. Analyses suggested that ancestry and isolation by distance were the most significant forces driving genetic variation in desert bighorn sheep, but that climate was associated with at least 1 locus (i.e., location on the genome) under directional selection. The alternate allele (i.e., variant) at this locus was associated with biologically significant increases in elevation and precipitation, decreases in temperature, and was nearly private to herds occupying the Great Basin ecosystem. Our results suggest climate conditions at higher latitudes may have resulted in a distinct ecotype of desert bighorn sheep whose adaptations are still apparent among the few remaining indigenous populations in the Great Basin. We also found 2 highly supported candidate genes in the genomic region linked to this outlier. How the molecular function of these candidate genes may affect physiological response of desert bighorn sheep to climate is unclear, although their identification provides new insight into the genetic mechanisms potentially underlying environmental adaptation. We identified several other loci under strong directional selection not related to climate and described a previously unknown pattern of strong genetic divergence of bighorn sheep within the White Mountains compared to other populations. Overall, these findings suggest selection from environmental factors may influence genomic variation at the ecosystem-scale in desert bighorn sheep and these results extend our understanding of how this subspecies may respond to different environmental conditions.",
+ "distribution_titles": [
+ "Digital Data",
+ "Original Metadata"
+ ],
+ "harvest_record": "https://catalog.data.gov/harvest_record/4fd6cad0-e91d-4129-a8ff-b204c3b84692",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/4fd6cad0-e91d-4129-a8ff-b204c3b84692/raw",
+ "has_download": true,
+ "has_spatial": true,
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_5c1a995be4b0708288c59a87",
+ "keyword": [
+ "Arizona",
+ "California",
+ "Genetic capacity",
+ "Nevada",
+ "USGS:5c1a995be4b0708288c59a87",
+ "biota",
+ "desert bighorn sheep"
+ ],
+ "last_harvested_date": "2026-09-27T01:24:03.298995",
+ "organization": {
+ "aliases": [
+ "dept"
+ ],
+ "code_repo_exempt": false,
+ "code_repo_url": null,
+ "description": null,
+ "id": "143529f7-2eef-4a07-b227-93ac9e84fad8",
+ "logo": "https://raw.githubusercontent.com/GSA/logo/master/doi.png",
+ "name": "Department of the Interior",
+ "organization_type": "Federal Government",
+ "slug": "doi"
+ },
+ "parent_identifier": null,
+ "popularity": 2,
+ "publisher": "U.S. Geological Survey",
+ "slug": "evaluating-adaptive-capacity-of-desert-bighorn-sheep-to-climate-change-identifying-genetic-bc686",
+ "spatial_centroid": {
+ "lat": 34.69,
+ "lon": -116.078
+ },
+ "spatial_shape": {
+ "coordinates": [
+ [
+ [
+ -118.33,
+ 32.51
+ ],
+ [
+ -118.33,
+ 37.96
+ ],
+ [
+ -112.7,
+ 37.96
+ ],
+ [
+ -112.7,
+ 32.51
+ ],
+ [
+ -118.33,
+ 32.51
+ ]
+ ]
+ ],
+ "type": "Polygon"
+ },
+ "theme": [
+ "geospatial"
+ ],
+ "title": "Evaluating Adaptive Capacity of Desert Bighorn Sheep to Climate Change: Identifying Genetic to Climate Adaptations in Native and Reintroduced Populations-Major Allele Frequency by Population",
+ "type": "dataset"
+ },
+ {
+ "_score": 57.325706,
+ "_sort": [
+ 1790472045922,
+ 57.325706,
+ 0,
+ "6329f712-6a1c-4bb4-bd30-d734ece1fc3e"
+ ],
+ "dcat": {
+ "accessLevel": "public",
+ "bureauCode": [
+ "010:12"
+ ],
+ "contactPoint": {
+ "@type": "vcard:Contact",
+ "fn": "Climate Adaptation Science Centers",
+ "hasEmail": "mailto:casc-data@usgs.gov"
+ },
+ "description": "This file contains results from the project \"Assessing climate-sensitive ecosystems in the southeastern U.S.\", funded by the Department of Interior's Southeast Climate Science Center. Metrics required to use the Habitat Climate Change Vulnerability Index (HCCVI) framework, as developed by NatureServe are reported in this spreadsheet. The ecosystems are: East Gulf Coastal Plain Near-Coast Pine Flatwoods, and the Nashville Basin Limestone Glade and Woodland.",
+ "distribution": [
+ {
+ "@type": "dcat:Distribution",
+ "accessURL": "https://doi.org/10.5066/P1GDYVYE",
+ "description": "Landing page for access to the data",
+ "format": "XML",
+ "mediaType": "application/http",
+ "title": "Digital Data"
+ },
+ {
+ "@type": "dcat:Distribution",
+ "description": "The metadata original format",
+ "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.5440040ce4b065f4ad22d2a8.xml",
+ "format": "XML",
+ "mediaType": "text/xml",
+ "title": "Original Metadata"
+ }
+ ],
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_5440040ce4b065f4ad22d2a8",
+ "keyword": [
+ "Alabama",
+ "Florida",
+ "Georgia",
+ "Tennessee",
+ "USGS:5440040ce4b065f4ad22d2a8",
+ "biota",
+ "climate change",
+ "ecosystems",
+ "external research support",
+ "habitat fragmentation",
+ "modeling",
+ "state and transition modeling",
+ "terrestrial ecosystems"
+ ],
+ "modified": "2026-09-22T00:00:00Z",
+ "publisher": {
+ "@type": "org:Organization",
+ "name": "U.S. Geological Survey"
+ },
+ "spatial": "-90.3186, 24.9263, -78.4863, 36.6243",
+ "theme": [
+ "geospatial"
+ ],
+ "title": "Habitat Climate Change Vulnerability Index (HCCVI) analysis results for two ecosystems in the southeastern US (2014)"
+ },
+ "description": "This file contains results from the project \"Assessing climate-sensitive ecosystems in the southeastern U.S.\", funded by the Department of Interior's Southeast Climate Science Center. Metrics required to use the Habitat Climate Change Vulnerability Index (HCCVI) framework, as developed by NatureServe are reported in this spreadsheet. The ecosystems are: East Gulf Coastal Plain Near-Coast Pine Flatwoods, and the Nashville Basin Limestone Glade and Woodland.",
+ "distribution_titles": [
+ "Digital Data",
+ "Original Metadata"
+ ],
+ "harvest_record": "https://catalog.data.gov/harvest_record/df973745-5454-4849-a8e4-12cf71073ecd",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/df973745-5454-4849-a8e4-12cf71073ecd/raw",
+ "has_download": true,
+ "has_spatial": true,
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_5440040ce4b065f4ad22d2a8",
+ "keyword": [
+ "Alabama",
+ "Florida",
+ "Georgia",
+ "Tennessee",
+ "USGS:5440040ce4b065f4ad22d2a8",
+ "biota",
+ "climate change",
+ "ecosystems",
+ "external research support",
+ "habitat fragmentation",
+ "modeling",
+ "state and transition modeling",
+ "terrestrial ecosystems"
+ ],
+ "last_harvested_date": "2026-09-27T01:20:45.922882",
+ "organization": {
+ "aliases": [
+ "dept"
+ ],
+ "code_repo_exempt": false,
+ "code_repo_url": null,
+ "description": null,
+ "id": "143529f7-2eef-4a07-b227-93ac9e84fad8",
+ "logo": "https://raw.githubusercontent.com/GSA/logo/master/doi.png",
+ "name": "Department of the Interior",
+ "organization_type": "Federal Government",
+ "slug": "doi"
+ },
+ "parent_identifier": null,
+ "popularity": 0,
+ "publisher": "U.S. Geological Survey",
+ "slug": "habitat-climate-change-vulnerability-index-hccvi-analysis-results-for-two-ecosystems--2014",
+ "spatial_centroid": {
+ "lat": 29.6055,
+ "lon": -85.58568
+ },
+ "spatial_shape": {
+ "coordinates": [
+ [
+ [
+ -90.3186,
+ 24.9263
+ ],
+ [
+ -90.3186,
+ 36.6243
+ ],
+ [
+ -78.4863,
+ 36.6243
+ ],
+ [
+ -78.4863,
+ 24.9263
+ ],
+ [
+ -90.3186,
+ 24.9263
+ ]
+ ]
+ ],
+ "type": "Polygon"
+ },
+ "theme": [
+ "geospatial"
+ ],
+ "title": "Habitat Climate Change Vulnerability Index (HCCVI) analysis results for two ecosystems in the southeastern US (2014)",
+ "type": "dataset"
+ },
+ {
+ "_score": 10.50503,
+ "_sort": [
+ 1790472042900,
+ 10.50503,
+ 2,
+ "0b964c64-6d1d-4654-95d8-444e1f119251"
+ ],
+ "dcat": {
+ "accessLevel": "public",
+ "bureauCode": [
+ "010:12"
+ ],
+ "contactPoint": {
+ "@type": "vcard:Contact",
+ "fn": "Michael J Osland",
+ "hasEmail": "mailto:mosland@usgs.gov"
+ },
+ "description": "Coastal wetland ecosystems are expected to migrate landward in response to accelerated sea-level rise. However, due to differences in topography and coastal urbanization extent, estuaries vary in their ability to accommodate wetland migration. The landward movement of wetlands requires suitable conditions, such as a gradual slope and land free of urban development. Urban barriers can constrain migration and result in wetland loss (coastal squeeze). For future-focused conservation planning purposes, there is a pressing need to quantify and compare the potential for wetland landward movement and coastal squeeze. For 41 estuaries in the northern Gulf of Mexico (i.e., the USA gulf coast), we quantified and compared the area available for the landward migration of tidal saline wetlands and the area where urban development is expected to prevent migration (coastal squeeze), under three alternative future sea-level rise scenarios (0.5-, 1.0-, and 1.5-m by 2100).",
+ "distribution": [
+ {
+ "@type": "dcat:Distribution",
+ "accessURL": "https://doi.org/10.5066/F7S75F7K",
+ "description": "Landing page for access to the data",
+ "format": "XML",
+ "mediaType": "application/http",
+ "title": "Digital Data"
+ },
+ {
+ "@type": "dcat:Distribution",
+ "description": "The metadata original format",
+ "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.5989fd82e4b09fa1cb0cc903.xml",
+ "format": "XML",
+ "mediaType": "text/xml",
+ "title": "Original Metadata"
+ }
+ ],
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_5989fd82e4b09fa1cb0cc903",
+ "keyword": [
+ "Alabama",
+ "Florida",
+ "Gulf of Mexico",
+ "Louisiana",
+ "Mississippi",
+ "North America",
+ "Texas",
+ "USGS:5989fd82e4b09fa1cb0cc903",
+ "United States",
+ "biota",
+ "climate change",
+ "effects of climate change",
+ "environment",
+ "estuaries",
+ "estuary",
+ "geospatial datasets",
+ "natural resource management",
+ "planning Cadastre",
+ "sea level change",
+ "sea-level change",
+ "wetlands"
+ ],
+ "modified": "2026-09-23T00:00:00Z",
+ "publisher": {
+ "@type": "org:Organization",
+ "name": "U.S. Geological Survey"
+ },
+ "spatial": "-97.9958, 24.1683, -80.3992, 32.0006",
+ "theme": [
+ "geospatial"
+ ],
+ "title": "Landward migration of tidal saline wetlands with sea-level rise and urbanization: a comparison of northern Gulf of Mexico estuaries"
+ },
+ "description": "Coastal wetland ecosystems are expected to migrate landward in response to accelerated sea-level rise. However, due to differences in topography and coastal urbanization extent, estuaries vary in their ability to accommodate wetland migration. The landward movement of wetlands requires suitable conditions, such as a gradual slope and land free of urban development. Urban barriers can constrain migration and result in wetland loss (coastal squeeze). For future-focused conservation planning purposes, there is a pressing need to quantify and compare the potential for wetland landward movement and coastal squeeze. For 41 estuaries in the northern Gulf of Mexico (i.e., the USA gulf coast), we quantified and compared the area available for the landward migration of tidal saline wetlands and the area where urban development is expected to prevent migration (coastal squeeze), under three alternative future sea-level rise scenarios (0.5-, 1.0-, and 1.5-m by 2100).",
+ "distribution_titles": [
+ "Digital Data",
+ "Original Metadata"
+ ],
+ "harvest_record": "https://catalog.data.gov/harvest_record/f6e7a650-da7b-43ee-96a5-885d91133433",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/f6e7a650-da7b-43ee-96a5-885d91133433/raw",
+ "has_download": true,
+ "has_spatial": true,
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_5989fd82e4b09fa1cb0cc903",
+ "keyword": [
+ "Alabama",
+ "Florida",
+ "Gulf of Mexico",
+ "Louisiana",
+ "Mississippi",
+ "North America",
+ "Texas",
+ "USGS:5989fd82e4b09fa1cb0cc903",
+ "United States",
+ "biota",
+ "climate change",
+ "effects of climate change",
+ "environment",
+ "estuaries",
+ "estuary",
+ "geospatial datasets",
+ "natural resource management",
+ "planning Cadastre",
+ "sea level change",
+ "sea-level change",
+ "wetlands"
+ ],
+ "last_harvested_date": "2026-09-27T01:20:42.900703",
+ "organization": {
+ "aliases": [
+ "dept"
+ ],
+ "code_repo_exempt": false,
+ "code_repo_url": null,
+ "description": null,
+ "id": "143529f7-2eef-4a07-b227-93ac9e84fad8",
+ "logo": "https://raw.githubusercontent.com/GSA/logo/master/doi.png",
+ "name": "Department of the Interior",
+ "organization_type": "Federal Government",
+ "slug": "doi"
+ },
+ "parent_identifier": null,
+ "popularity": 2,
+ "publisher": "U.S. Geological Survey",
+ "slug": "landward-migration-of-tidal-saline-wetlands-with-sea-level-rise-and-urbanization-a-compari",
+ "spatial_centroid": {
+ "lat": 27.30122,
+ "lon": -90.95716
+ },
+ "spatial_shape": {
+ "coordinates": [
+ [
+ [
+ -97.9958,
+ 24.1683
+ ],
+ [
+ -97.9958,
+ 32.0006
+ ],
+ [
+ -80.3992,
+ 32.0006
+ ],
+ [
+ -80.3992,
+ 24.1683
+ ],
+ [
+ -97.9958,
+ 24.1683
+ ]
+ ]
+ ],
+ "type": "Polygon"
+ },
+ "theme": [
+ "geospatial"
+ ],
+ "title": "Landward migration of tidal saline wetlands with sea-level rise and urbanization: a comparison of northern Gulf of Mexico estuaries",
+ "type": "dataset"
+ },
+ {
+ "_score": 55.055344,
+ "_sort": [
+ 1790471998363,
+ 55.055344,
+ 0,
+ "1a436420-1fb6-4b26-a110-fc352d2284e6"
+ ],
+ "dcat": {
+ "accessLevel": "public",
+ "bureauCode": [
+ "010:12"
+ ],
+ "contactPoint": {
+ "@type": "vcard:Contact",
+ "fn": "Imtiaz Rangwala",
+ "hasEmail": "mailto:casc-data@usgs.gov"
+ },
+ "description": "These datasets contain time series of anomalies, relative to 1971-2000 period, in the mean, daily minimum and maximum temperatures (F), precipitation (%), growing season length (GSL in days), and warm season duration index (WSDI in days) for the Southwest Colorado region for the three future climate scenarios considered in the Social Ecological and Climate Resiliency (SECR) project",
+ "distribution": [
+ {
+ "@type": "dcat:Distribution",
+ "accessURL": "https://doi.org/10.5066/P13VNPMG",
+ "description": "Landing page for access to the data",
+ "format": "XML",
+ "mediaType": "application/http",
+ "title": "Digital Data"
+ },
+ {
+ "@type": "dcat:Distribution",
+ "description": "The metadata original format",
+ "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.fb0a9474-34f0-42f5-b68f-6905702d02bd.xml",
+ "format": "XML",
+ "mediaType": "text/xml",
+ "title": "Original Metadata"
+ }
+ ],
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_fb0a9474-34f0-42f5-b68f-6905702d02bd",
+ "keyword": [
+ "USGS:fb0a9474-34f0-42f5-b68f-6905702d02bd",
+ "climate change",
+ "climatologyMeteorologyAtmosphere",
+ "external research support",
+ "precipitation",
+ "temperature"
+ ],
+ "modified": "2026-09-21T00:00:00Z",
+ "publisher": {
+ "@type": "org:Organization",
+ "name": "U.S. Geological Survey"
+ },
+ "spatial": "-108.5000, 36.5000, -106.5000, 38.5000",
+ "theme": [
+ "geospatial"
+ ],
+ "title": "Timeseries of the anomalies in temperature and precipitation metrics between 1950-2099 for southwestern Colorado under three future climate scenarios"
+ },
+ "description": "These datasets contain time series of anomalies, relative to 1971-2000 period, in the mean, daily minimum and maximum temperatures (F), precipitation (%), growing season length (GSL in days), and warm season duration index (WSDI in days) for the Southwest Colorado region for the three future climate scenarios considered in the Social Ecological and Climate Resiliency (SECR) project",
+ "distribution_titles": [
+ "Digital Data",
+ "Original Metadata"
+ ],
+ "harvest_record": "https://catalog.data.gov/harvest_record/02962b0d-8a2b-447d-8049-130e293ff91c",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/02962b0d-8a2b-447d-8049-130e293ff91c/raw",
+ "has_download": true,
+ "has_spatial": true,
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_fb0a9474-34f0-42f5-b68f-6905702d02bd",
+ "keyword": [
+ "USGS:fb0a9474-34f0-42f5-b68f-6905702d02bd",
+ "climate change",
+ "climatologyMeteorologyAtmosphere",
+ "external research support",
+ "precipitation",
+ "temperature"
+ ],
+ "last_harvested_date": "2026-09-27T01:19:58.363351",
+ "organization": {
+ "aliases": [
+ "dept"
+ ],
+ "code_repo_exempt": false,
+ "code_repo_url": null,
+ "description": null,
+ "id": "143529f7-2eef-4a07-b227-93ac9e84fad8",
+ "logo": "https://raw.githubusercontent.com/GSA/logo/master/doi.png",
+ "name": "Department of the Interior",
+ "organization_type": "Federal Government",
+ "slug": "doi"
+ },
+ "parent_identifier": null,
+ "popularity": 0,
+ "publisher": "U.S. Geological Survey",
+ "slug": "timeseries-of-the-anomalies-in-temperature-and-precipitation-metrics-between-1950-2099-for",
+ "spatial_centroid": {
+ "lat": 37.3,
+ "lon": -107.7
+ },
+ "spatial_shape": {
+ "coordinates": [
+ [
+ [
+ -108.5,
+ 36.5
+ ],
+ [
+ -108.5,
+ 38.5
+ ],
+ [
+ -106.5,
+ 38.5
+ ],
+ [
+ -106.5,
+ 36.5
+ ],
+ [
+ -108.5,
+ 36.5
+ ]
+ ]
+ ],
+ "type": "Polygon"
+ },
+ "theme": [
+ "geospatial"
+ ],
+ "title": "Timeseries of the anomalies in temperature and precipitation metrics between 1950-2099 for southwestern Colorado under three future climate scenarios",
+ "type": "dataset"
+ },
+ {
+ "_score": 19.278713,
+ "_sort": [
+ 1790471975619,
+ 19.278713,
+ 2,
+ "9a4ed491-61be-456c-a516-e5a9366a0228"
+ ],
+ "dcat": {
+ "accessLevel": "public",
+ "bureauCode": [
+ "010:12"
+ ],
+ "contactPoint": {
+ "@type": "vcard:Contact",
+ "fn": "Adam J Terando",
+ "hasEmail": "mailto:aterando@usgs.gov"
+ },
+ "description": "Prescribed burning is a critical tool for managing wildfire risks and meeting ecological objectives, but its safe and effective application requires that specific meteorological criteria are met. This dataset contains results from a study examining the potential impacts of projected climatic change on prescribed burning in the southeastern United States. A set of burn window criteria (suitable weather conditions within which burning may occur based on maximum daily temperature, daily average relative humidity, and daily average wind speed), were applied to projections from an ensemble of Global Climate Models (GCM) under two greenhouse gas emission scenarios, as well as past observations for comparison. Data are provided as decadal output for observed conditions, and for individual GCM results for the historical climate scenario and the two future climate scenarios are provided. In addition, summary statistics (e.g., multi-model mean, and for selected quantiles) are provided for the GCM ensemble as a whole by decade.",
+ "distribution": [
+ {
+ "@type": "dcat:Distribution",
+ "accessURL": "https://doi.org/10.5066/P95BV7GE",
+ "description": "Landing page for access to the data",
+ "format": "XML",
+ "mediaType": "application/http",
+ "title": "Digital Data"
+ },
+ {
+ "@type": "dcat:Distribution",
+ "description": "The metadata original format",
+ "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.609c4426d34ea221ce39d33a.xml",
+ "format": "XML",
+ "mediaType": "text/xml",
+ "title": "Original Metadata"
+ }
+ ],
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_609c4426d34ea221ce39d33a",
  "keyword": [
  "Alabama",
  "Arkansas",
@@ -344,7 +1660,7 @@
  "Southeast United states",
  "Tennessee",
  "Texas",
- "USGS:609c886fd34ea221ce3ac711",
+ "USGS:609c4426d34ea221ce39d33a",
  "Virginia",
  "West Virginia",
  "farming",
@@ -363,18 +1679,18 @@
  "theme": [
  "geospatial"
  ],
- "title": "MIROC Historical Prescribed Burn Windows for the Southeast United States 1950-1999"
+ "title": "GFDLG Monthly Future Prescribed Burn Windows for the Southeast United States 2010-2099 RCP 8.5"
  },
  "description": "Prescribed burning is a critical tool for managing wildfire risks and meeting ecological objectives, but its safe and effective application requires that specific meteorological criteria are met. This dataset contains results from a study examining the potential impacts of projected climatic change on prescribed burning in the southeastern United States. A set of burn window criteria (suitable weather conditions within which burning may occur based on maximum daily temperature, daily average relative humidity, and daily average wind speed), were applied to projections from an ensemble of Global Climate Models (GCM) under two greenhouse gas emission scenarios, as well as past observations for comparison. Data are provided as decadal output for observed conditions, and for individual GCM results for the historical climate scenario and the two future climate scenarios are provided. In addition, summary statistics (e.g., multi-model mean, and for selected quantiles) are provided for the GCM ensemble as a whole by decade.",
  "distribution_titles": [
  "Digital Data",
  "Original Metadata"
  ],
- "harvest_record": "https://catalog.data.gov/harvest_record/a8a56ca0-aecf-4f2f-82d5-f8ff46182396",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/a8a56ca0-aecf-4f2f-82d5-f8ff46182396/raw",
+ "harvest_record": "https://catalog.data.gov/harvest_record/dc5b0a87-99b9-472e-b4b3-483be183b673",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/dc5b0a87-99b9-472e-b4b3-483be183b673/raw",
  "has_download": true,
  "has_spatial": true,
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_609c886fd34ea221ce3ac711",
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_609c4426d34ea221ce39d33a",
  "keyword": [
  "Alabama",
  "Arkansas",
@@ -390,7 +1706,7 @@
  "Southeast United states",
  "Tennessee",
  "Texas",
- "USGS:609c886fd34ea221ce3ac711",
+ "USGS:609c4426d34ea221ce39d33a",
  "Virginia",
  "West Virginia",
  "farming",
@@ -400,7 +1716,7 @@
  "statistical downscaling",
  "wildfires"
  ],
- "last_harvested_date": "2026-09-27T00:14:25.327520",
+ "last_harvested_date": "2026-09-27T01:19:35.619305",
  "organization": {
  "aliases": [
  "dept"
@@ -415,9 +1731,9 @@
  "slug": "doi"
  },
  "parent_identifier": null,
- "popularity": 0,
+ "popularity": 2,
  "publisher": "U.S. Geological Survey",
- "slug": "miroc-historical-prescribed-burn-windows-for-the-southeast-united-states-1950-1999",
+ "slug": "gfdlg-monthly-future-prescribed-burn-windows-for-the-southeast-united-states-2010-2099-rcp-2c681",
  "spatial_centroid": {
  "lat": 32.27966,
  "lon": -90.73102
@@ -452,16 +1768,16 @@
  "theme": [
  "geospatial"
  ],
- "title": "MIROC Historical Prescribed Burn Windows for the Southeast United States 1950-1999",
+ "title": "GFDLG Monthly Future Prescribed Burn Windows for the Southeast United States 2010-2099 RCP 8.5",
  "type": "dataset"
  },
  {
- "_score": 19.169281,
+ "_score": 8.912417,
  "_sort": [
- 1790468050952,
- 19.169281,
- 2,
- "026ec9da-172c-499d-90e5-32d837a059e1"
+ 1790471768596,
+ 8.912417,
+ 0,
+ "04358b66-62b8-4acf-b0c5-890d6d32c2f8"
  ],
  "dcat": {
  "accessLevel": "public",
@@ -470,14 +1786,14 @@
  ],
  "contactPoint": {
  "@type": "vcard:Contact",
- "fn": "Adam J Terando",
- "hasEmail": "mailto:aterando@usgs.gov"
- },
- "description": "Prescribed burning is a critical tool for managing wildfire risks and meeting ecological objectives, but its safe and effective application requires that specific meteorological criteria are met. This dataset contains results from a study examining the potential impacts of projected climatic change on prescribed burning in the southeastern United States. A set of burn window criteria (suitable weather conditions within which burning may occur based on maximum daily temperature, daily average relative humidity, and daily average wind speed), were applied to projections from an ensemble of Global Climate Models (GCM) under two greenhouse gas emission scenarios, as well as past observations for comparison. Data are provided as decadal output for observed conditions, and for individual GCM results for the historical climate scenario and the two future climate scenarios are provided. In addition, summary statistics (e.g., multi-model mean, and for selected quantiles) are provided for the GCM ensemble as a whole by decade.",
+ "fn": "Ellen Aikens",
+ "hasEmail": "mailto:eaikens@uwyo.edu"
+ },
+ "description": "The Green Wave Hypothesis posits that herbivore migration manifests in response to waves of spring green-up (i.e., green-wave surfing). Nonetheless, empirical support for the Green Wave Hypothesis is mixed, and a framework for understanding variation in surfing is lacking. In a population of migratory mule deer (Odocoileus hemionus), 31% surfed plant phenology in spring as well as a theoretically perfect surfer, and 98% surfed better than random. Green-wave surfing varied among individuals, and was unrelated to age or energetic state. Instead, the greenscape, which we define as the order, rate, and duration of green-up along migratory routes, was the primary factor influencing surfing. Our results indicate that migratory routes are more than a link between seasonal ranges, and they provide an important, but often overlooked, foraging habitat. Additionally, the spatiotemporal configuration of forage resources that propagate along migratory routes shape animal movement and presumably, energy gains during migration.",
  "distribution": [
  {
  "@type": "dcat:Distribution",
- "accessURL": "https://doi.org/10.5066/P95BV7GE",
+ "accessURL": "https://doi.org/10.5066/F7125RJS",
  "description": "Landing page for access to the data",
  "format": "XML",
  "mediaType": "application/http",
@@ -486,13 +1802,1637 @@
  {
  "@type": "dcat:Distribution",
  "description": "The metadata original format",
- "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.609afbc2d34ea221ce37107c.xml",
+ "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.efa6c597-35d8-4937-b499-0b974c95cf0c.xml",
  "format": "XML",
  "mediaType": "text/xml",
  "title": "Original Metadata"
  }
  ],
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_609afbc2d34ea221ce37107c",
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_efa6c597-35d8-4937-b499-0b974c95cf0c",
+ "keyword": [
+ "Forage maturation hypothesis",
+ "Migration",
+ "Mule deer",
+ "Normalized Difference Vegetation Index",
+ "Phenology",
+ "Resource landscape",
+ "USGS:efa6c597-35d8-4937-b499-0b974c95cf0c",
+ "Ungulate",
+ "biota",
+ "climate change",
+ "migration",
+ "phenology"
+ ],
+ "modified": "2026-09-24T00:00:00Z",
+ "publisher": {
+ "@type": "org:Organization",
+ "name": "U.S. Geological Survey"
+ },
+ "spatial": "-111.4301, 41.3956, -109.9418, 43.4486",
+ "theme": [
+ "geospatial"
+ ],
+ "title": "The greenscape shapes surfing of resource waves in a large migratory herbivore"
+ },
+ "description": "The Green Wave Hypothesis posits that herbivore migration manifests in response to waves of spring green-up (i.e., green-wave surfing). Nonetheless, empirical support for the Green Wave Hypothesis is mixed, and a framework for understanding variation in surfing is lacking. In a population of migratory mule deer (Odocoileus hemionus), 31% surfed plant phenology in spring as well as a theoretically perfect surfer, and 98% surfed better than random. Green-wave surfing varied among individuals, and was unrelated to age or energetic state. Instead, the greenscape, which we define as the order, rate, and duration of green-up along migratory routes, was the primary factor influencing surfing. Our results indicate that migratory routes are more than a link between seasonal ranges, and they provide an important, but often overlooked, foraging habitat. Additionally, the spatiotemporal configuration of forage resources that propagate along migratory routes shape animal movement and presumably, energy gains during migration.",
+ "distribution_titles": [
+ "Digital Data",
+ "Original Metadata"
+ ],
+ "harvest_record": "https://catalog.data.gov/harvest_record/7b858007-21ba-44fb-9429-0766d167defe",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/7b858007-21ba-44fb-9429-0766d167defe/raw",
+ "has_download": true,
+ "has_spatial": true,
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_efa6c597-35d8-4937-b499-0b974c95cf0c",
+ "keyword": [
+ "Forage maturation hypothesis",
+ "Migration",
+ "Mule deer",
+ "Normalized Difference Vegetation Index",
+ "Phenology",
+ "Resource landscape",
+ "USGS:efa6c597-35d8-4937-b499-0b974c95cf0c",
+ "Ungulate",
+ "biota",
+ "climate change",
+ "migration",
+ "phenology"
+ ],
+ "last_harvested_date": "2026-09-27T01:16:08.596885",
+ "organization": {
+ "aliases": [
+ "dept"
+ ],
+ "code_repo_exempt": false,
+ "code_repo_url": null,
+ "description": null,
+ "id": "143529f7-2eef-4a07-b227-93ac9e84fad8",
+ "logo": "https://raw.githubusercontent.com/GSA/logo/master/doi.png",
+ "name": "Department of the Interior",
+ "organization_type": "Federal Government",
+ "slug": "doi"
+ },
+ "parent_identifier": null,
+ "popularity": 0,
+ "publisher": "U.S. Geological Survey",
+ "slug": "the-greenscape-shapes-surfing-of-resource-waves-in-a-large-migratory-herbivore-32aed",
+ "spatial_centroid": {
+ "lat": 42.2168,
+ "lon": -110.83478
+ },
+ "spatial_shape": {
+ "coordinates": [
+ [
+ [
+ -111.4301,
+ 41.3956
+ ],
+ [
+ -111.4301,
+ 43.4486
+ ],
+ [
+ -109.9418,
+ 43.4486
+ ],
+ [
+ -109.9418,
+ 41.3956
+ ],
+ [
+ -111.4301,
+ 41.3956
+ ]
+ ]
+ ],
+ "type": "Polygon"
+ },
+ "theme": [
+ "geospatial"
+ ],
+ "title": "The greenscape shapes surfing of resource waves in a large migratory herbivore",
+ "type": "dataset"
+ },
+ {
+ "_score": 10.6598215,
+ "_sort": [
+ 1790471742852,
+ 10.6598215,
+ 0,
+ "29aaf2a1-ba49-43c8-bcb8-78f5f339c2ea"
+ ],
+ "dcat": {
+ "accessLevel": "public",
+ "bureauCode": [
+ "010:12"
+ ],
+ "contactPoint": {
+ "@type": "vcard:Contact",
+ "fn": "Climate Adaptation Science Centers",
+ "hasEmail": "mailto:casc-data@usgs.gov"
+ },
+ "description": "These data represent current and projected mid- and late-century adult walleye presence/absence in inland lakes of Wisconsin, USA. These data were generated using a suite of landscape and thermal predictor variables and data from walleye electrofishing surveys. Data are represented as probabilities (range 0-1) of presence/absence during each time period (current, mid-century and late-century). Data were generated using a random forest approach. The final model contained nine variables: lake area, maximum depth, mean coefficient of variation of surface temperature from 30-60 days post ice off, growing degree days (base 5 °C), conductivity, proportion developed shoreline, mean coefficient of variation of surface temperature from 0-30 days post ice off, lake order, and the upstream probability of adult walleye in the connected river system. Lake area was the most influential predictor variable (measured by variable importance).",
+ "distribution": [
+ {
+ "@type": "dcat:Distribution",
+ "accessURL": "https://doi.org/10.5066/P9ZLM6UK",
+ "description": "Landing page for access to the data",
+ "format": "XML",
+ "mediaType": "application/http",
+ "title": "Digital Data"
+ },
+ {
+ "@type": "dcat:Distribution",
+ "description": "The metadata original format",
+ "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.644a9450d34ee8d4adee04cf.xml",
+ "format": "XML",
+ "mediaType": "text/xml",
+ "title": "Original Metadata"
+ }
+ ],
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_644a9450d34ee8d4adee04cf",
+ "keyword": [
+ "USGS:644a9450d34ee8d4adee04cf",
+ "biota",
+ "climate change",
+ "farming",
+ "fisheries",
+ "fishing"
+ ],
+ "modified": "2026-09-24T00:00:00Z",
+ "publisher": {
+ "@type": "org:Organization",
+ "name": "U.S. Geological Survey"
+ },
+ "spatial": "-92.8800, 42.4800, -86.8000, 47.0700",
+ "theme": [
+ "geospatial"
+ ],
+ "title": "Current and projected mid- and late-century walleye presence/absence in inland lakes of Wisconsin, USA"
+ },
+ "description": "These data represent current and projected mid- and late-century adult walleye presence/absence in inland lakes of Wisconsin, USA. These data were generated using a suite of landscape and thermal predictor variables and data from walleye electrofishing surveys. Data are represented as probabilities (range 0-1) of presence/absence during each time period (current, mid-century and late-century). Data were generated using a random forest approach. The final model contained nine variables: lake area, maximum depth, mean coefficient of variation of surface temperature from 30-60 days post ice off, growing degree days (base 5 °C), conductivity, proportion developed shoreline, mean coefficient of variation of surface temperature from 0-30 days post ice off, lake order, and the upstream probability of adult walleye in the connected river system. Lake area was the most influential predictor variable (measured by variable importance).",
+ "distribution_titles": [
+ "Digital Data",
+ "Original Metadata"
+ ],
+ "harvest_record": "https://catalog.data.gov/harvest_record/e9e31bd4-3f29-4b8e-8d60-fc4d8c8540d6",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/e9e31bd4-3f29-4b8e-8d60-fc4d8c8540d6/raw",
+ "has_download": true,
+ "has_spatial": true,
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_644a9450d34ee8d4adee04cf",
+ "keyword": [
+ "USGS:644a9450d34ee8d4adee04cf",
+ "biota",
+ "climate change",
+ "farming",
+ "fisheries",
+ "fishing"
+ ],
+ "last_harvested_date": "2026-09-27T01:15:42.852166",
+ "organization": {
+ "aliases": [
+ "dept"
+ ],
+ "code_repo_exempt": false,
+ "code_repo_url": null,
+ "description": null,
+ "id": "143529f7-2eef-4a07-b227-93ac9e84fad8",
+ "logo": "https://raw.githubusercontent.com/GSA/logo/master/doi.png",
+ "name": "Department of the Interior",
+ "organization_type": "Federal Government",
+ "slug": "doi"
+ },
+ "parent_identifier": null,
+ "popularity": 0,
+ "publisher": "U.S. Geological Survey",
+ "slug": "current-and-projected-mid-and-late-century-walleye-presence-absence-in-inland-lakes-of-wis",
+ "spatial_centroid": {
+ "lat": 44.315999999999995,
+ "lon": -90.44800000000001
+ },
+ "spatial_shape": {
+ "coordinates": [
+ [
+ [
+ -92.88,
+ 42.48
+ ],
+ [
+ -92.88,
+ 47.07
+ ],
+ [
+ -86.8,
+ 47.07
+ ],
+ [
+ -86.8,
+ 42.48
+ ],
+ [
+ -92.88,
+ 42.48
+ ]
+ ]
+ ],
+ "type": "Polygon"
+ },
+ "theme": [
+ "geospatial"
+ ],
+ "title": "Current and projected mid- and late-century walleye presence/absence in inland lakes of Wisconsin, USA",
+ "type": "dataset"
+ },
+ {
+ "_score": 28.498116,
+ "_sort": [
+ 1790471663003,
+ 28.498116,
+ 0,
+ "ef28fb97-535b-4124-bb71-26bf3fe0903e"
+ ],
+ "dcat": {
+ "accessLevel": "public",
+ "bureauCode": [
+ "010:12"
+ ],
+ "contactPoint": {
+ "@type": "vcard:Contact",
+ "fn": "Kirsten Lackstrom",
+ "hasEmail": "mailto:casc-data@usgs.gov"
+ },
+ "description": "The project team examined State Wildlife Action Plans (SWAPs) from 15 southeastern states and Puerto Rico in order to: 1) identify the various approaches used to address climate change in the recent SWAP updates, 2) highlight key commonalities and differences among the states, and 3) improve understanding of the challenges and opportunities that state agencies face as they address climate change risks. Methods included detailed review of the SWAPs and follow-up interviews with SWAP coordinators. This dataset reviews examples of vulnerability assessment tools and resources used or referenced in the State Wildlife Action Plans.",
+ "distribution": [
+ {
+ "@type": "dcat:Distribution",
+ "accessURL": "https://doi.org/10.21429/xxmc-0050",
+ "description": "Landing page for access to the data",
+ "format": "XML",
+ "mediaType": "application/http",
+ "title": "Digital Data"
+ },
+ {
+ "@type": "dcat:Distribution",
+ "description": "The metadata original format",
+ "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.5fdb8896d34e30b9123d238f.xml",
+ "format": "XML",
+ "mediaType": "text/xml",
+ "title": "Original Metadata"
+ }
+ ],
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_5fdb8896d34e30b9123d238f",
+ "keyword": [
+ "Climate Adaptation Planning",
+ "Interviews",
+ "State Wildlife Action Plans",
+ "USGS:5fdb8896d34e30b9123d238f",
+ "biota",
+ "external research support",
+ "social sciences"
+ ],
+ "modified": "2026-09-23T00:00:00Z",
+ "publisher": {
+ "@type": "org:Organization",
+ "name": "U.S. Geological Survey"
+ },
+ "spatial": "-106.6193, 14.9284, -63.8889, 40.6083",
+ "theme": [
+ "geospatial"
+ ],
+ "title": "Examples of vulnerability assessment tools and resources used or referenced in the State Wildlife Action Plans (SWAPs)"
+ },
+ "description": "The project team examined State Wildlife Action Plans (SWAPs) from 15 southeastern states and Puerto Rico in order to: 1) identify the various approaches used to address climate change in the recent SWAP updates, 2) highlight key commonalities and differences among the states, and 3) improve understanding of the challenges and opportunities that state agencies face as they address climate change risks. Methods included detailed review of the SWAPs and follow-up interviews with SWAP coordinators. This dataset reviews examples of vulnerability assessment tools and resources used or referenced in the State Wildlife Action Plans.",
+ "distribution_titles": [
+ "Digital Data",
+ "Original Metadata"
+ ],
+ "harvest_record": "https://catalog.data.gov/harvest_record/7d926833-8aa4-4485-b6b8-c24c6b941205",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/7d926833-8aa4-4485-b6b8-c24c6b941205/raw",
+ "has_download": true,
+ "has_spatial": true,
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_5fdb8896d34e30b9123d238f",
+ "keyword": [
+ "Climate Adaptation Planning",
+ "Interviews",
+ "State Wildlife Action Plans",
+ "USGS:5fdb8896d34e30b9123d238f",
+ "biota",
+ "external research support",
+ "social sciences"
+ ],
+ "last_harvested_date": "2026-09-27T01:14:23.003616",
+ "organization": {
+ "aliases": [
+ "dept"
+ ],
+ "code_repo_exempt": false,
+ "code_repo_url": null,
+ "description": null,
+ "id": "143529f7-2eef-4a07-b227-93ac9e84fad8",
+ "logo": "https://raw.githubusercontent.com/GSA/logo/master/doi.png",
+ "name": "Department of the Interior",
+ "organization_type": "Federal Government",
+ "slug": "doi"
+ },
+ "parent_identifier": null,
+ "popularity": 0,
+ "publisher": "U.S. Geological Survey",
+ "slug": "examples-of-vulnerability-assessment-tools-and-resources-used-or-referenced-in-the-state-w",
+ "spatial_centroid": {
+ "lat": 25.20036,
+ "lon": -89.52714
+ },
+ "spatial_shape": {
+ "coordinates": [
+ [
+ [
+ -106.6193,
+ 14.9284
+ ],
+ [
+ -106.6193,
+ 40.6083
+ ],
+ [
+ -63.8889,
+ 40.6083
+ ],
+ [
+ -63.8889,
+ 14.9284
+ ],
+ [
+ -106.6193,
+ 14.9284
+ ]
+ ]
+ ],
+ "type": "Polygon"
+ },
+ "theme": [
+ "geospatial"
+ ],
+ "title": "Examples of vulnerability assessment tools and resources used or referenced in the State Wildlife Action Plans (SWAPs)",
+ "type": "dataset"
+ },
+ {
+ "_score": 13.245466,
+ "_sort": [
+ 1790471641904,
+ 13.245466,
+ 0,
+ "72e8e11c-9a1c-4e41-a6fe-fe499426bdcc"
+ ],
+ "dcat": {
+ "accessLevel": "public",
+ "bureauCode": [
+ "010:12"
+ ],
+ "contactPoint": {
+ "@type": "vcard:Contact",
+ "fn": "Climate Adaptation Science Centers",
+ "hasEmail": "mailto:casc-data@usgs.gov"
+ },
+ "description": "This dataset is a collection generated by an extensive search for both published and ongoing research that, in general, deals with climate change and agriculture in a water quality context for the Eastern Tallgrass Prairie and Big Rivers Landscape Conservation Cooperative (LCC) and Upper Midwest and Great Lakes LCC. The search was two-fold; one portion of the search dealt with an on-line literature search for published peer-reviewed articles for the time period of 2000 (sometimes slightly earlier depending on the relative degree of the publication’s relevance to the topic) to present. The other portion of the search dealt with contacting USGS Water Science Centers and state institutions requesting information on current research projects dealing with this topic that have not yet been published or are currently in publication, and response to these requests has been varied. The search was geographically confined to the geography of the two LLCs an southern Ontario.",
+ "distribution": [
+ {
+ "@type": "dcat:Distribution",
+ "accessURL": "https://doi.org/10.5066/P13U52UY",
+ "description": "Landing page for access to the data",
+ "format": "XML",
+ "mediaType": "application/http",
+ "title": "Digital Data"
+ },
+ {
+ "@type": "dcat:Distribution",
+ "description": "The metadata original format",
+ "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.51db1188e4b010c7f6a82548.xml",
+ "format": "XML",
+ "mediaType": "text/xml",
+ "title": "Original Metadata"
+ }
+ ],
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_51db1188e4b010c7f6a82548",
+ "keyword": [
+ "Eastern Tallgrass Prairie & Big Rivers LCC",
+ "Great Lakes",
+ "Illinois",
+ "Indiana",
+ "Kansas",
+ "Landscape Conservation Cooperative",
+ "Michigan",
+ "Minnesota",
+ "Nebraska",
+ "Ohio",
+ "Oklahoma",
+ "Ontario",
+ "USGS:51db1188e4b010c7f6a82548",
+ "Upper Midwest & Great Lakes LCC",
+ "Wisconsin",
+ "agriculture",
+ "biota",
+ "decision support methods"
+ ],
+ "modified": "2026-09-21T00:00:00Z",
+ "publisher": {
+ "@type": "org:Organization",
+ "name": "U.S. Geological Survey"
+ },
+ "spatial": "-104.2383, 36.5979, -71.0156, 46.6193",
+ "theme": [
+ "geospatial"
+ ],
+ "title": "Catalog of Environmental Effects of Agricultural Practices Across the Eastern Tallgrass Prairie and Big Rivers Landscape Conservation Cooperative (LCC) and Upper Midwest and Great Lakes LCC"
+ },
+ "description": "This dataset is a collection generated by an extensive search for both published and ongoing research that, in general, deals with climate change and agriculture in a water quality context for the Eastern Tallgrass Prairie and Big Rivers Landscape Conservation Cooperative (LCC) and Upper Midwest and Great Lakes LCC. The search was two-fold; one portion of the search dealt with an on-line literature search for published peer-reviewed articles for the time period of 2000 (sometimes slightly earlier depending on the relative degree of the publication’s relevance to the topic) to present. The other portion of the search dealt with contacting USGS Water Science Centers and state institutions requesting information on current research projects dealing with this topic that have not yet been published or are currently in publication, and response to these requests has been varied. The search was geographically confined to the geography of the two LLCs an southern Ontario.",
+ "distribution_titles": [
+ "Digital Data",
+ "Original Metadata"
+ ],
+ "harvest_record": "https://catalog.data.gov/harvest_record/be33cf86-c6f1-44a2-bfec-f780de71d539",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/be33cf86-c6f1-44a2-bfec-f780de71d539/raw",
+ "has_download": true,
+ "has_spatial": true,
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_51db1188e4b010c7f6a82548",
+ "keyword": [
+ "Eastern Tallgrass Prairie & Big Rivers LCC",
+ "Great Lakes",
+ "Illinois",
+ "Indiana",
+ "Kansas",
+ "Landscape Conservation Cooperative",
+ "Michigan",
+ "Minnesota",
+ "Nebraska",
+ "Ohio",
+ "Oklahoma",
+ "Ontario",
+ "USGS:51db1188e4b010c7f6a82548",
+ "Upper Midwest & Great Lakes LCC",
+ "Wisconsin",
+ "agriculture",
+ "biota",
+ "decision support methods"
+ ],
+ "last_harvested_date": "2026-09-27T01:14:01.904880",
+ "organization": {
+ "aliases": [
+ "dept"
+ ],
+ "code_repo_exempt": false,
+ "code_repo_url": null,
+ "description": null,
+ "id": "143529f7-2eef-4a07-b227-93ac9e84fad8",
+ "logo": "https://raw.githubusercontent.com/GSA/logo/master/doi.png",
+ "name": "Department of the Interior",
+ "organization_type": "Federal Government",
+ "slug": "doi"
+ },
+ "parent_identifier": null,
+ "popularity": 0,
+ "publisher": "U.S. Geological Survey",
+ "slug": "catalog-of-environmental-effects-of-agricultural-practices-across-the-eastern-tallgrass-pr",
+ "spatial_centroid": {
+ "lat": 40.606460000000006,
+ "lon": -90.94922
+ },
+ "spatial_shape": {
+ "coordinates": [
+ [
+ [
+ -104.2383,
+ 36.5979
+ ],
+ [
+ -104.2383,
+ 46.6193
+ ],
+ [
+ -71.0156,
+ 46.6193
+ ],
+ [
+ -71.0156,
+ 36.5979
+ ],
+ [
+ -104.2383,
+ 36.5979
+ ]
+ ]
+ ],
+ "type": "Polygon"
+ },
+ "theme": [
+ "geospatial"
+ ],
+ "title": "Catalog of Environmental Effects of Agricultural Practices Across the Eastern Tallgrass Prairie and Big Rivers Landscape Conservation Cooperative (LCC) and Upper Midwest and Great Lakes LCC",
+ "type": "dataset"
+ },
+ {
+ "_score": 11.899538,
+ "_sort": [
+ 1790471512226,
+ 11.899538,
+ 0,
+ "3af17cbb-85ec-48f2-abc0-e2c48a50123f"
+ ],
+ "dcat": {
+ "accessLevel": "public",
+ "bureauCode": [
+ "010:12"
+ ],
+ "contactPoint": {
+ "@type": "vcard:Contact",
+ "fn": "Michael Osland",
+ "hasEmail": "mailto:mosland@usgs.gov"
+ },
+ "description": "Winter climate change has the potential to have a large impact on coastal wetlands in the southeastern U.S. Warmer winter temperatures and reductions in the intensity of freeze events would likely lead to mangrove forest range expansion and salt marsh displacement in parts of the U.S. Gulf of Mexico and Atlantic coast. The objective of this research was to better understand some of the ecological implications of mangrove forest migration and salt marsh displacement. The potential ecological effects of mangrove migration are diverse ranging from important biotic impacts (e.g., coastal fisheries, land bird migration; colonial nesting wading birds) to ecosystem stability (e.g., response to sea level rise and drought; habitat loss; coastal protection) to biogeochemical processes (e.g., carbon storage; water quality). In this research, our focus was on the impact of mangrove forest migration on coastal wetland soil processes and the consequent implications for coastal wetland responses to sea level rise, ecosystem resilience, and carbon storage. Our study specifically addressed the following questions: (1) How do ecological processes and ecosystem properties differ between salt marshes and mangrove forests; (2) As mangrove forests develop, how do their ecosystem properties change and how do these properties compare to salt marshes; (3) How do plant-soil interactions across mangrove forest structural gradients differ among three distinct locations that span the northern Gulf of Mexico; and (4) What are the implications of mangrove forest encroachment and development into salt marsh in terms of soil development, carbon and nitrogen storage, and soil strength? To address these questions, we utilized the salt marshes and natural mangrove forest structural gradients present at three distinct locations in the northern Gulf of Mexico: Cedar Key (Florida), Port Fourchon (Louisiana), and Port Aransas (Texas). Each of these locations represents a distinct combination of climate-driven abiotic conditions. We quantified relationships between plant community composition and structure, soil and porewater physicochemical properties, hydroperiod, and climatic conditions. The suite of measurements that we collected provide initial insights into how different geographic areas of an ecotone, with different environmental conditions, may be impacted by mangrove forest expansion and development, and how these changes may alter the supply of specific ecosystem goods and services. This file includes the individual-level tall tree stratum vegetation data.\nThis work was conducted via a collaborative effort between scientists at the U.S. Geological Survey National Wetland Research Center and the Department of Biology of the University of Louisiana at Lafayette.",
+ "distribution": [
+ {
+ "@type": "dcat:Distribution",
+ "accessURL": "https://doi.org/10.5066/P1GDTXUR",
+ "description": "Landing page for access to the data",
+ "format": "XML",
+ "mediaType": "application/http",
+ "title": "Digital Data"
+ },
+ {
+ "@type": "dcat:Distribution",
+ "description": "The metadata original format",
+ "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.545bfd63e4b009f8aec9b6ce.xml",
+ "format": "XML",
+ "mediaType": "text/xml",
+ "title": "Original Metadata"
+ }
+ ],
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_545bfd63e4b009f8aec9b6ce",
+ "keyword": [
+ "Cedar Key",
+ "Gulf of Mexico",
+ "Port Aransas",
+ "Port Fourchon",
+ "State of Florida",
+ "State of Louisiana",
+ "State of Texas",
+ "USGS:545bfd63e4b009f8aec9b6ce",
+ "United States of America",
+ "environment",
+ "vegetation"
+ ],
+ "modified": "2026-09-22T00:00:00Z",
+ "publisher": {
+ "@type": "org:Organization",
+ "name": "U.S. Geological Survey"
+ },
+ "theme": [
+ "geospatial"
+ ],
+ "title": "Dataset 3: New vegetation data collection: individual-level tall tree stratum"
+ },
+ "description": "Winter climate change has the potential to have a large impact on coastal wetlands in the southeastern U.S. Warmer winter temperatures and reductions in the intensity of freeze events would likely lead to mangrove forest range expansion and salt marsh displacement in parts of the U.S. Gulf of Mexico and Atlantic coast. The objective of this research was to better understand some of the ecological implications of mangrove forest migration and salt marsh displacement. The potential ecological effects of mangrove migration are diverse ranging from important biotic impacts (e.g., coastal fisheries, land bird migration; colonial nesting wading birds) to ecosystem stability (e.g., response to sea level rise and drought; habitat loss; coastal protection) to biogeochemical processes (e.g., carbon storage; water quality). In this research, our focus was on the impact of mangrove forest migration on coastal wetland soil processes and the consequent implications for coastal wetland responses to sea level rise, ecosystem resilience, and carbon storage. Our study specifically addressed the following questions: (1) How do ecological processes and ecosystem properties differ between salt marshes and mangrove forests; (2) As mangrove forests develop, how do their ecosystem properties change and how do these properties compare to salt marshes; (3) How do plant-soil interactions across mangrove forest structural gradients differ among three distinct locations that span the northern Gulf of Mexico; and (4) What are the implications of mangrove forest encroachment and development into salt marsh in terms of soil development, carbon and nitrogen storage, and soil strength? To address these questions, we utilized the salt marshes and natural mangrove forest structural gradients present at three distinct locations in the northern Gulf of Mexico: Cedar Key (Florida), Port Fourchon (Louisiana), and Port Aransas (Texas). Each of these locations represents a distinct combination of climate-driven abiotic conditions. We quantified relationships between plant community composition and structure, soil and porewater physicochemical properties, hydroperiod, and climatic conditions. The suite of measurements that we collected provide initial insights into how different geographic areas of an ecotone, with different environmental conditions, may be impacted by mangrove forest expansion and development, and how these changes may alter the supply of specific ecosystem goods and services. This file includes the individual-level tall tree stratum vegetation data.\nThis work was conducted via a collaborative effort between scientists at the U.S. Geological Survey National Wetland Research Center and the Department of Biology of the University of Louisiana at Lafayette.",
+ "distribution_titles": [
+ "Digital Data",
+ "Original Metadata"
+ ],
+ "harvest_record": "https://catalog.data.gov/harvest_record/3699dd4e-da08-47ae-98b9-dbb6086b945d",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/3699dd4e-da08-47ae-98b9-dbb6086b945d/raw",
+ "has_download": true,
+ "has_spatial": true,
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_545bfd63e4b009f8aec9b6ce",
+ "keyword": [
+ "Cedar Key",
+ "Gulf of Mexico",
+ "Port Aransas",
+ "Port Fourchon",
+ "State of Florida",
+ "State of Louisiana",
+ "State of Texas",
+ "USGS:545bfd63e4b009f8aec9b6ce",
+ "United States of America",
+ "environment",
+ "vegetation"
+ ],
+ "last_harvested_date": "2026-09-27T01:11:52.226818",
+ "organization": {
+ "aliases": [
+ "dept"
+ ],
+ "code_repo_exempt": false,
+ "code_repo_url": null,
+ "description": null,
+ "id": "143529f7-2eef-4a07-b227-93ac9e84fad8",
+ "logo": "https://raw.githubusercontent.com/GSA/logo/master/doi.png",
+ "name": "Department of the Interior",
+ "organization_type": "Federal Government",
+ "slug": "doi"
+ },
+ "parent_identifier": null,
+ "popularity": 0,
+ "publisher": "U.S. Geological Survey",
+ "slug": "dataset-3-new-vegetation-data-collection-individual-level-tall-tree-stratum",
+ "spatial_centroid": null,
+ "spatial_shape": null,
+ "theme": [
+ "geospatial"
+ ],
+ "title": "Dataset 3: New vegetation data collection: individual-level tall tree stratum",
+ "type": "dataset"
+ },
+ {
+ "_score": 47.0564,
+ "_sort": [
+ 1790471422426,
+ 47.0564,
+ 0,
+ "d2996eb0-4784-4034-bd6d-91d576b78bab"
+ ],
+ "dcat": {
+ "accessLevel": "public",
+ "bureauCode": [
+ "010:12"
+ ],
+ "contactPoint": {
+ "@type": "vcard:Contact",
+ "fn": "Adrienne Marshall",
+ "hasEmail": "mailto:mars7850@vandals.uidaho.edu"
+ },
+ "description": "Hourly hydrometeorological data was collected over the 30-year period from 1984-2014 in Upper Sheep Creek, within the Reynolds Creek Experimental Watershed, Idaho, USA. These data were used to calibrate the one-dimensional Simultaneous Heat and Water (SHAW) model. These data and the SHAW calibration have previously been described in multiple publications, particularly Chauvin et al 2011 and Flerchinger et al 2016. In the dataset presented here, climate scenarios have been constructed, applied to the historic record, simulated in the SHAW model, and hydrologic results have been analyzed.",
+ "distribution": [
+ {
+ "@type": "dcat:Distribution",
+ "accessURL": "https://doi.org/10.21429/C9PD2Z",
+ "description": "Landing page for access to the data",
+ "format": "XML",
+ "mediaType": "application/http",
+ "title": "Digital Data"
+ },
+ {
+ "@type": "dcat:Distribution",
+ "description": "The metadata original format",
+ "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.58e6840ce4b09da6799ac85b.xml",
+ "format": "XML",
+ "mediaType": "text/xml",
+ "title": "Original Metadata"
+ }
+ ],
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_58e6840ce4b09da6799ac85b",
+ "keyword": [
+ "Idaho",
+ "Owyhee County",
+ "Reynolds Creek Experimental Watershed",
+ "South Idaho",
+ "USGS:58e6840ce4b09da6799ac85b",
+ "biota",
+ "climate change",
+ "external research support",
+ "modeling",
+ "seasonality",
+ "semi-arid ecohydrology",
+ "snow redistribution",
+ "snow-to-rain transition",
+ "vegetation mortality"
+ ],
+ "modified": "2026-09-21T00:00:00Z",
+ "publisher": {
+ "@type": "org:Organization",
+ "name": "U.S. Geological Survey"
+ },
+ "spatial": "-119.2456, 41.5086, -108.8745, 46.6193",
+ "theme": [
+ "geospatial"
+ ],
+ "title": "Hydrologic sensitivity to climate change and aspen mortality in Upper Sheep Creek, Reynolds Creek Experimental Watershed (21st century scenarios)"
+ },
+ "description": "Hourly hydrometeorological data was collected over the 30-year period from 1984-2014 in Upper Sheep Creek, within the Reynolds Creek Experimental Watershed, Idaho, USA. These data were used to calibrate the one-dimensional Simultaneous Heat and Water (SHAW) model. These data and the SHAW calibration have previously been described in multiple publications, particularly Chauvin et al 2011 and Flerchinger et al 2016. In the dataset presented here, climate scenarios have been constructed, applied to the historic record, simulated in the SHAW model, and hydrologic results have been analyzed.",
+ "distribution_titles": [
+ "Digital Data",
+ "Original Metadata"
+ ],
+ "harvest_record": "https://catalog.data.gov/harvest_record/ffa17f52-bd59-45a5-8d55-75616522e8d1",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/ffa17f52-bd59-45a5-8d55-75616522e8d1/raw",
+ "has_download": true,
+ "has_spatial": true,
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_58e6840ce4b09da6799ac85b",
+ "keyword": [
+ "Idaho",
+ "Owyhee County",
+ "Reynolds Creek Experimental Watershed",
+ "South Idaho",
+ "USGS:58e6840ce4b09da6799ac85b",
+ "biota",
+ "climate change",
+ "external research support",
+ "modeling",
+ "seasonality",
+ "semi-arid ecohydrology",
+ "snow redistribution",
+ "snow-to-rain transition",
+ "vegetation mortality"
+ ],
+ "last_harvested_date": "2026-09-27T01:10:22.426841",
+ "organization": {
+ "aliases": [
+ "dept"
+ ],
+ "code_repo_exempt": false,
+ "code_repo_url": null,
+ "description": null,
+ "id": "143529f7-2eef-4a07-b227-93ac9e84fad8",
+ "logo": "https://raw.githubusercontent.com/GSA/logo/master/doi.png",
+ "name": "Department of the Interior",
+ "organization_type": "Federal Government",
+ "slug": "doi"
+ },
+ "parent_identifier": null,
+ "popularity": 0,
+ "publisher": "U.S. Geological Survey",
+ "slug": "hydrologic-sensitivity-to-climate-change-and-aspen-mortality-in-upper-sheep-creek-reynolds",
+ "spatial_centroid": {
+ "lat": 43.55288,
+ "lon": -115.09715999999999
+ },
+ "spatial_shape": {
+ "coordinates": [
+ [
+ [
+ -119.2456,
+ 41.5086
+ ],
+ [
+ -119.2456,
+ 46.6193
+ ],
+ [
+ -108.8745,
+ 46.6193
+ ],
+ [
+ -108.8745,
+ 41.5086
+ ],
+ [
+ -119.2456,
+ 41.5086
+ ]
+ ]
+ ],
+ "type": "Polygon"
+ },
+ "theme": [
+ "geospatial"
+ ],
+ "title": "Hydrologic sensitivity to climate change and aspen mortality in Upper Sheep Creek, Reynolds Creek Experimental Watershed (21st century scenarios)",
+ "type": "dataset"
+ },
+ {
+ "_score": 26.322514,
+ "_sort": [
+ 1790471345783,
+ 26.322514,
+ 0,
+ "c6f56e9d-cdaf-42c8-bcea-255b115917ce"
+ ],
+ "dcat": {
+ "accessLevel": "public",
+ "bureauCode": [
+ "010:12"
+ ],
+ "contactPoint": {
+ "@type": "vcard:Contact",
+ "fn": "Jared Oyler",
+ "hasEmail": "mailto:jaredwo@gmail.com"
+ },
+ "description": "Dataset includes daily estimated climate data for a study site near Seeley Lake MT, USA. We used a locally calibrated temperature index snowfall-snowmelt model to estimate both past and future daily snow water equivalent (SWE) at our study site.",
+ "distribution": [
+ {
+ "@type": "dcat:Distribution",
+ "accessURL": "https://doi.org/10.5066/P19ZFWYG",
+ "description": "Landing page for access to the data",
+ "format": "XML",
+ "mediaType": "application/http",
+ "title": "Digital Data"
+ },
+ {
+ "@type": "dcat:Distribution",
+ "description": "The metadata original format",
+ "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.54355bc9e4b0a4f4b46a252e.xml",
+ "format": "XML",
+ "mediaType": "text/xml",
+ "title": "Original Metadata"
+ }
+ ],
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_54355bc9e4b0a4f4b46a252e",
+ "keyword": [
+ "Montana",
+ "Seeley Lake",
+ "USGS:54355bc9e4b0a4f4b46a252e",
+ "atmospheric and climatic processes",
+ "climate change",
+ "environment",
+ "external research support",
+ "precipitation (atmospheric)",
+ "snow",
+ "swe",
+ "temperature"
+ ],
+ "modified": "2026-09-24T00:00:00Z",
+ "publisher": {
+ "@type": "org:Organization",
+ "name": "U.S. Geological Survey"
+ },
+ "theme": [
+ "geospatial"
+ ],
+ "title": "Daily Temperature, Precipitation, and Snow Data, Montana Study Site 1948-2012"
+ },
+ "description": "Dataset includes daily estimated climate data for a study site near Seeley Lake MT, USA. We used a locally calibrated temperature index snowfall-snowmelt model to estimate both past and future daily snow water equivalent (SWE) at our study site.",
+ "distribution_titles": [
+ "Digital Data",
+ "Original Metadata"
+ ],
+ "harvest_record": "https://catalog.data.gov/harvest_record/fa6548df-7512-488a-9825-239cad18f668",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/fa6548df-7512-488a-9825-239cad18f668/raw",
+ "has_download": true,
+ "has_spatial": true,
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_54355bc9e4b0a4f4b46a252e",
+ "keyword": [
+ "Montana",
+ "Seeley Lake",
+ "USGS:54355bc9e4b0a4f4b46a252e",
+ "atmospheric and climatic processes",
+ "climate change",
+ "environment",
+ "external research support",
+ "precipitation (atmospheric)",
+ "snow",
+ "swe",
+ "temperature"
+ ],
+ "last_harvested_date": "2026-09-27T01:09:05.783792",
+ "organization": {
+ "aliases": [
+ "dept"
+ ],
+ "code_repo_exempt": false,
+ "code_repo_url": null,
+ "description": null,
+ "id": "143529f7-2eef-4a07-b227-93ac9e84fad8",
+ "logo": "https://raw.githubusercontent.com/GSA/logo/master/doi.png",
+ "name": "Department of the Interior",
+ "organization_type": "Federal Government",
+ "slug": "doi"
+ },
+ "parent_identifier": null,
+ "popularity": 0,
+ "publisher": "U.S. Geological Survey",
+ "slug": "daily-temperature-precipitation-and-snow-data-montana-study-site-1948-2012",
+ "spatial_centroid": null,
+ "spatial_shape": null,
+ "theme": [
+ "geospatial"
+ ],
+ "title": "Daily Temperature, Precipitation, and Snow Data, Montana Study Site 1948-2012",
+ "type": "dataset"
+ },
+ {
+ "_score": 10.300137,
+ "_sort": [
+ 1790471263217,
+ 10.300137,
+ 0,
+ "113572f2-1b62-4bb7-b4fd-25fbfc869207"
+ ],
+ "dcat": {
+ "accessLevel": "public",
+ "bureauCode": [
+ "010:12"
+ ],
+ "contactPoint": {
+ "@type": "vcard:Contact",
+ "fn": "Ralph W Tingley",
+ "hasEmail": "mailto:rtingley@usgs.gov"
+ },
+ "description": "Adult walleye presence/absence in stream reaches of Wisconsin (1989-2017). These data were generated using a suite of landscape and thermal predictor variables and point data from walleye electrofishing and fyke netting attributed to national hydrography database stream reaches. Data are represented at probabilities (range 0-1) of presence. Data were generated using a Random Forest analysis and watershed size and distance to the nearest large or medium size rivers were the most influential predictor variables (measured by variable importance).",
+ "distribution": [
+ {
+ "@type": "dcat:Distribution",
+ "accessURL": "https://doi.org/10.5066/P9ZLM6UK",
+ "description": "Landing page for access to the data",
+ "format": "XML",
+ "mediaType": "application/http",
+ "title": "Digital Data"
+ },
+ {
+ "@type": "dcat:Distribution",
+ "description": "The metadata original format",
+ "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.646ecf99d34e4e58932cf822.xml",
+ "format": "XML",
+ "mediaType": "text/xml",
+ "title": "Original Metadata"
+ }
+ ],
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_646ecf99d34e4e58932cf822",
+ "keyword": [
+ "Midwest",
+ "USGS:646ecf99d34e4e58932cf822",
+ "Wisconsin",
+ "boundaries",
+ "climate change",
+ "climatologyMeteorologyAtmosphere",
+ "environment",
+ "fisheries",
+ "inlandWaters"
+ ],
+ "modified": "2026-09-24T00:00:00Z",
+ "publisher": {
+ "@type": "org:Organization",
+ "name": "U.S. Geological Survey"
+ },
+ "spatial": "-92.8894, 42.4721, -86.7700, 46.7700",
+ "theme": [
+ "geospatial"
+ ],
+ "title": "Adult walleye presence/absence in stream reaches of Wisconsin, USA"
+ },
+ "description": "Adult walleye presence/absence in stream reaches of Wisconsin (1989-2017). These data were generated using a suite of landscape and thermal predictor variables and point data from walleye electrofishing and fyke netting attributed to national hydrography database stream reaches. Data are represented at probabilities (range 0-1) of presence. Data were generated using a Random Forest analysis and watershed size and distance to the nearest large or medium size rivers were the most influential predictor variables (measured by variable importance).",
+ "distribution_titles": [
+ "Digital Data",
+ "Original Metadata"
+ ],
+ "harvest_record": "https://catalog.data.gov/harvest_record/e193d112-ae43-4a86-9f6d-a4c330905bab",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/e193d112-ae43-4a86-9f6d-a4c330905bab/raw",
+ "has_download": true,
+ "has_spatial": true,
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_646ecf99d34e4e58932cf822",
+ "keyword": [
+ "Midwest",
+ "USGS:646ecf99d34e4e58932cf822",
+ "Wisconsin",
+ "boundaries",
+ "climate change",
+ "climatologyMeteorologyAtmosphere",
+ "environment",
+ "fisheries",
+ "inlandWaters"
+ ],
+ "last_harvested_date": "2026-09-27T01:07:43.217714",
+ "organization": {
+ "aliases": [
+ "dept"
+ ],
+ "code_repo_exempt": false,
+ "code_repo_url": null,
+ "description": null,
+ "id": "143529f7-2eef-4a07-b227-93ac9e84fad8",
+ "logo": "https://raw.githubusercontent.com/GSA/logo/master/doi.png",
+ "name": "Department of the Interior",
+ "organization_type": "Federal Government",
+ "slug": "doi"
+ },
+ "parent_identifier": null,
+ "popularity": 0,
+ "publisher": "U.S. Geological Survey",
+ "slug": "adult-walleye-presence-absence-in-stream-reaches-of-wisconsin-usa",
+ "spatial_centroid": {
+ "lat": 44.19126,
+ "lon": -90.44163999999999
+ },
+ "spatial_shape": {
+ "coordinates": [
+ [
+ [
+ -92.8894,
+ 42.4721
+ ],
+ [
+ -92.8894,
+ 46.77
+ ],
+ [
+ -86.77,
+ 46.77
+ ],
+ [
+ -86.77,
+ 42.4721
+ ],
+ [
+ -92.8894,
+ 42.4721
+ ]
+ ]
+ ],
+ "type": "Polygon"
+ },
+ "theme": [
+ "geospatial"
+ ],
+ "title": "Adult walleye presence/absence in stream reaches of Wisconsin, USA",
+ "type": "dataset"
+ },
+ {
+ "_score": 51.14903,
+ "_sort": [
+ 1790471151961,
+ 51.14903,
+ 2,
+ "25757b05-e317-4ece-9d68-4afd82934e50"
+ ],
+ "dcat": {
+ "accessLevel": "public",
+ "bureauCode": [
+ "010:12"
+ ],
+ "contactPoint": {
+ "@type": "vcard:Contact",
+ "fn": "Craig Paukert",
+ "hasEmail": "mailto:paukertc@missouri.edu"
+ },
+ "description": "Human impacts occurring throughout the Northeast United StatesDOI Northeast Climate Science Center, including urbanization, agriculture, and dams, have multiple effects on the region’s streams which support economically valuable stream fishes. Changes in climate are expected to lead to additional impacts in stream habitats and fish assemblages in multiple ways, including changing stream water temperatures. To manage streams for current impacts and future changes, managers need region-wide information for decision-making and developing proactive management strategies. Our project met that need by integrating results of a current condition assessment of stream habitats based on fish response to human land use, water quality impairment, and fragmentation by dams with estimates of which stream habitats may change in the future. Results are available for all streams in the NE CSC region through a spatially-explicit, web-based viewer (FishTail). With this tool, managers can evaluate how streams of interest are currently impacted by land uses and assess if those habitats may change with climate. These results, available in a comparable way throughout the NE CSC, provide natural resource managers, decision-makers, and the public with a wealth of information to better protect and conserve stream fishes and their habitats. These data are integrated into a web-based decision support viewer (FishTail): 1) current condition of streams determined from disturbances limiting stream fishes, 2) future conditions resulting from changes in climate, and, 3) changes in water temperature for key locations resulting from climate changes for all streams of the NE CSC region. The report that documents these data is: Daniel, W., N. Sievert, D. Infante, J. Whittier, J. Stewart, C. Paukert, and K. Herreman. 2016. A decision support mapper for conserving stream fish habitats of the Northeast Climate Science Center region. Final Report to the US Geological Survey, Northeast Climate Science Center, Amherst, MA.",
+ "distribution": [
+ {
+ "@type": "dcat:Distribution",
+ "accessURL": "http://dx.doi.org/10.5066/F7GQ6W7C",
+ "description": "Landing page for access to the data",
+ "format": "XML",
+ "mediaType": "application/http",
+ "title": "Digital Data"
+ },
+ {
+ "@type": "dcat:Distribution",
+ "description": "The metadata original format",
+ "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.590a049de4b0fc4e44916012.xml",
+ "format": "XML",
+ "mediaType": "text/xml",
+ "title": "Original Metadata"
+ }
+ ],
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_590a049de4b0fc4e44916012",
+ "keyword": [
+ "Aquatic habitats",
+ "Connecticut",
+ "Delaware",
+ "Illinois",
+ "Indiana",
+ "Iowa",
+ "Kentucky",
+ "Maine",
+ "Maryland",
+ "Massachusetts",
+ "Michigan",
+ "Minnesota",
+ "Missouri",
+ "New Hampshire",
+ "New Jersey",
+ "New York",
+ "Ohio",
+ "Pennsylvania",
+ "Rhode Island",
+ "USGS:590a049de4b0fc4e44916012",
+ "Vermont",
+ "Virginia",
+ "Washington D.C.",
+ "West Virginia",
+ "Wisconsin",
+ "climate change",
+ "climatologyMeteorologyAtmosphere",
+ "drainage basins",
+ "geospatial datasets",
+ "habitat fragmentation",
+ "inlandWaters",
+ "land use and land cover",
+ "rivers",
+ "streams",
+ "water quality"
+ ],
+ "modified": "2026-09-23T00:00:00Z",
+ "publisher": {
+ "@type": "org:Organization",
+ "name": "U.S. Geological Survey"
+ },
+ "spatial": "-97.226778032, 35.99626825, -66.987685522, 49.340954638",
+ "theme": [
+ "geospatial"
+ ],
+ "title": "FishTail, Indices and Supporting Data Characterizing the Current and Future Risk to Fish Habitat Degradation in the Northeast Climate Science Center Region"
+ },
+ "description": "Human impacts occurring throughout the Northeast United StatesDOI Northeast Climate Science Center, including urbanization, agriculture, and dams, have multiple effects on the region’s streams which support economically valuable stream fishes. Changes in climate are expected to lead to additional impacts in stream habitats and fish assemblages in multiple ways, including changing stream water temperatures. To manage streams for current impacts and future changes, managers need region-wide information for decision-making and developing proactive management strategies. Our project met that need by integrating results of a current condition assessment of stream habitats based on fish response to human land use, water quality impairment, and fragmentation by dams with estimates of which stream habitats may change in the future. Results are available for all streams in the NE CSC region through a spatially-explicit, web-based viewer (FishTail). With this tool, managers can evaluate how streams of interest are currently impacted by land uses and assess if those habitats may change with climate. These results, available in a comparable way throughout the NE CSC, provide natural resource managers, decision-makers, and the public with a wealth of information to better protect and conserve stream fishes and their habitats. These data are integrated into a web-based decision support viewer (FishTail): 1) current condition of streams determined from disturbances limiting stream fishes, 2) future conditions resulting from changes in climate, and, 3) changes in water temperature for key locations resulting from climate changes for all streams of the NE CSC region. The report that documents these data is: Daniel, W., N. Sievert, D. Infante, J. Whittier, J. Stewart, C. Paukert, and K. Herreman. 2016. A decision support mapper for conserving stream fish habitats of the Northeast Climate Science Center region. Final Report to the US Geological Survey, Northeast Climate Science Center, Amherst, MA.",
+ "distribution_titles": [
+ "Digital Data",
+ "Original Metadata"
+ ],
+ "harvest_record": "https://catalog.data.gov/harvest_record/0dcc9138-d569-43c0-b457-2ff1f33cbe80",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/0dcc9138-d569-43c0-b457-2ff1f33cbe80/raw",
+ "has_download": true,
+ "has_spatial": true,
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_590a049de4b0fc4e44916012",
+ "keyword": [
+ "Aquatic habitats",
+ "Connecticut",
+ "Delaware",
+ "Illinois",
+ "Indiana",
+ "Iowa",
+ "Kentucky",
+ "Maine",
+ "Maryland",
+ "Massachusetts",
+ "Michigan",
+ "Minnesota",
+ "Missouri",
+ "New Hampshire",
+ "New Jersey",
+ "New York",
+ "Ohio",
+ "Pennsylvania",
+ "Rhode Island",
+ "USGS:590a049de4b0fc4e44916012",
+ "Vermont",
+ "Virginia",
+ "Washington D.C.",
+ "West Virginia",
+ "Wisconsin",
+ "climate change",
+ "climatologyMeteorologyAtmosphere",
+ "drainage basins",
+ "geospatial datasets",
+ "habitat fragmentation",
+ "inlandWaters",
+ "land use and land cover",
+ "rivers",
+ "streams",
+ "water quality"
+ ],
+ "last_harvested_date": "2026-09-27T01:05:51.961390",
+ "organization": {
+ "aliases": [
+ "dept"
+ ],
+ "code_repo_exempt": false,
+ "code_repo_url": null,
+ "description": null,
+ "id": "143529f7-2eef-4a07-b227-93ac9e84fad8",
+ "logo": "https://raw.githubusercontent.com/GSA/logo/master/doi.png",
+ "name": "Department of the Interior",
+ "organization_type": "Federal Government",
+ "slug": "doi"
+ },
+ "parent_identifier": null,
+ "popularity": 2,
+ "publisher": "U.S. Geological Survey",
+ "slug": "fishtail-indices-and-supporting-data-characterizing-the-current-and-future-risk-to-fish-ha",
+ "spatial_centroid": {
+ "lat": 41.334142805199996,
+ "lon": -85.131141028
+ },
+ "spatial_shape": {
+ "coordinates": [
+ [
+ [
+ -97.226778032,
+ 35.99626825
+ ],
+ [
+ -97.226778032,
+ 49.340954638
+ ],
+ [
+ -66.987685522,
+ 49.340954638
+ ],
+ [
+ -66.987685522,
+ 35.99626825
+ ],
+ [
+ -97.226778032,
+ 35.99626825
+ ]
+ ]
+ ],
+ "type": "Polygon"
+ },
+ "theme": [
+ "geospatial"
+ ],
+ "title": "FishTail, Indices and Supporting Data Characterizing the Current and Future Risk to Fish Habitat Degradation in the Northeast Climate Science Center Region",
+ "type": "dataset"
+ },
+ {
+ "_score": 11.868946,
+ "_sort": [
+ 1790471103561,
+ 11.868946,
+ 0,
+ "9aa36225-a6e9-4ff1-9f23-2534ac0bf913"
+ ],
+ "dcat": {
+ "accessLevel": "public",
+ "bureauCode": [
+ "010:12"
+ ],
+ "contactPoint": {
+ "@type": "vcard:Contact",
+ "fn": "Michael Osland",
+ "hasEmail": "mailto:mosland@usgs.gov"
+ },
+ "description": "Winter climate change has the potential to have a large impact on coastal wetlands in the southeastern U.S. Warmer winter temperatures and reductions in the intensity of freeze events would likely lead to mangrove forest range expansion and salt marsh displacement in parts of the U.S. Gulf of Mexico and Atlantic coast. The objective of this research was to better understand some of the ecological implications of mangrove forest migration and salt marsh displacement. The potential ecological effects of mangrove migration are diverse ranging from important biotic impacts (e.g., coastal fisheries, land bird migration; colonial nesting wading birds) to ecosystem stability (e.g., response to sea level rise and drought; habitat loss; coastal protection) to biogeochemical processes (e.g., carbon storage; water quality). In this research, our focus was on the impact of mangrove forest migration on coastal wetland soil processes and the consequent implications for coastal wetland responses to sea level rise, ecosystem resilience, and carbon storage. Our study specifically addressed the following questions: (1) How do ecological processes and ecosystem properties differ between salt marshes and mangrove forests; (2) As mangrove forests develop, how do their ecosystem properties change and how do these properties compare to salt marshes; (3) How do plant-soil interactions across mangrove forest structural gradients differ among three distinct locations that span the northern Gulf of Mexico; and (4) What are the implications of mangrove forest encroachment and development into salt marsh in terms of soil development, carbon and nitrogen storage, and soil strength? To address these questions, we utilized the salt marshes and natural mangrove forest structural gradients present at three distinct locations in the northern Gulf of Mexico: Cedar Key (Florida), Port Fourchon (Louisiana), and Port Aransas (Texas). Each of these locations represents a distinct combination of climate-driven abiotic conditions. We quantified relationships between plant community composition and structure, soil and porewater physicochemical properties, hydroperiod, and climatic conditions. The suite of measurements that we collected provide initial insights into how different geographic areas of an ecotone, with different environmental conditions, may be impacted by mangrove forest expansion and development, and how these changes may alter the supply of specific ecosystem goods and services. \nThis file includes the individual-level short tree stratum vegetation data.\nThis work was conducted via a collaborative effort between scientists at the U.S. Geological Survey National Wetland Research Center and the Department of Biology of the University of Louisiana at Lafayette.",
+ "distribution": [
+ {
+ "@type": "dcat:Distribution",
+ "accessURL": "https://doi.org/10.5066/P1GDTXUR",
+ "description": "Landing page for access to the data",
+ "format": "XML",
+ "mediaType": "application/http",
+ "title": "Digital Data"
+ },
+ {
+ "@type": "dcat:Distribution",
+ "description": "The metadata original format",
+ "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.545bfe0fe4b009f8aec9b6fe.xml",
+ "format": "XML",
+ "mediaType": "text/xml",
+ "title": "Original Metadata"
+ }
+ ],
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_545bfe0fe4b009f8aec9b6fe",
+ "keyword": [
+ "Cedar Key",
+ "Gulf of Mexico",
+ "Port Aransas",
+ "Port Fourchon",
+ "State of Florida",
+ "State of Louisiana",
+ "State of Texas",
+ "USGS:545bfe0fe4b009f8aec9b6fe",
+ "United States of America",
+ "environment",
+ "vegetation"
+ ],
+ "modified": "2026-09-22T00:00:00Z",
+ "publisher": {
+ "@type": "org:Organization",
+ "name": "U.S. Geological Survey"
+ },
+ "theme": [
+ "geospatial"
+ ],
+ "title": "Dataset 4: New vegetation data collection: individual-level short tree stratum"
+ },
+ "description": "Winter climate change has the potential to have a large impact on coastal wetlands in the southeastern U.S. Warmer winter temperatures and reductions in the intensity of freeze events would likely lead to mangrove forest range expansion and salt marsh displacement in parts of the U.S. Gulf of Mexico and Atlantic coast. The objective of this research was to better understand some of the ecological implications of mangrove forest migration and salt marsh displacement. The potential ecological effects of mangrove migration are diverse ranging from important biotic impacts (e.g., coastal fisheries, land bird migration; colonial nesting wading birds) to ecosystem stability (e.g., response to sea level rise and drought; habitat loss; coastal protection) to biogeochemical processes (e.g., carbon storage; water quality). In this research, our focus was on the impact of mangrove forest migration on coastal wetland soil processes and the consequent implications for coastal wetland responses to sea level rise, ecosystem resilience, and carbon storage. Our study specifically addressed the following questions: (1) How do ecological processes and ecosystem properties differ between salt marshes and mangrove forests; (2) As mangrove forests develop, how do their ecosystem properties change and how do these properties compare to salt marshes; (3) How do plant-soil interactions across mangrove forest structural gradients differ among three distinct locations that span the northern Gulf of Mexico; and (4) What are the implications of mangrove forest encroachment and development into salt marsh in terms of soil development, carbon and nitrogen storage, and soil strength? To address these questions, we utilized the salt marshes and natural mangrove forest structural gradients present at three distinct locations in the northern Gulf of Mexico: Cedar Key (Florida), Port Fourchon (Louisiana), and Port Aransas (Texas). Each of these locations represents a distinct combination of climate-driven abiotic conditions. We quantified relationships between plant community composition and structure, soil and porewater physicochemical properties, hydroperiod, and climatic conditions. The suite of measurements that we collected provide initial insights into how different geographic areas of an ecotone, with different environmental conditions, may be impacted by mangrove forest expansion and development, and how these changes may alter the supply of specific ecosystem goods and services. \nThis file includes the individual-level short tree stratum vegetation data.\nThis work was conducted via a collaborative effort between scientists at the U.S. Geological Survey National Wetland Research Center and the Department of Biology of the University of Louisiana at Lafayette.",
+ "distribution_titles": [
+ "Digital Data",
+ "Original Metadata"
+ ],
+ "harvest_record": "https://catalog.data.gov/harvest_record/b7d55b64-cfba-4505-80b3-9961a8be1103",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/b7d55b64-cfba-4505-80b3-9961a8be1103/raw",
+ "has_download": true,
+ "has_spatial": true,
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_545bfe0fe4b009f8aec9b6fe",
+ "keyword": [
+ "Cedar Key",
+ "Gulf of Mexico",
+ "Port Aransas",
+ "Port Fourchon",
+ "State of Florida",
+ "State of Louisiana",
+ "State of Texas",
+ "USGS:545bfe0fe4b009f8aec9b6fe",
+ "United States of America",
+ "environment",
+ "vegetation"
+ ],
+ "last_harvested_date": "2026-09-27T01:05:03.561650",
+ "organization": {
+ "aliases": [
+ "dept"
+ ],
+ "code_repo_exempt": false,
+ "code_repo_url": null,
+ "description": null,
+ "id": "143529f7-2eef-4a07-b227-93ac9e84fad8",
+ "logo": "https://raw.githubusercontent.com/GSA/logo/master/doi.png",
+ "name": "Department of the Interior",
+ "organization_type": "Federal Government",
+ "slug": "doi"
+ },
+ "parent_identifier": null,
+ "popularity": 0,
+ "publisher": "U.S. Geological Survey",
+ "slug": "dataset-4-new-vegetation-data-collection-individual-level-short-tree-stratum",
+ "spatial_centroid": null,
+ "spatial_shape": null,
+ "theme": [
+ "geospatial"
+ ],
+ "title": "Dataset 4: New vegetation data collection: individual-level short tree stratum",
+ "type": "dataset"
+ },
+ {
+ "_score": 10.395027,
+ "_sort": [
+ 1790470891818,
+ 10.395027,
+ 0,
+ "efc721ec-c9db-451d-a3f1-d3308818daa8"
+ ],
+ "dcat": {
+ "accessLevel": "public",
+ "bureauCode": [
+ "010:12"
+ ],
+ "contactPoint": {
+ "@type": "vcard:Contact",
+ "fn": "Ralph W Tingley",
+ "hasEmail": "mailto:rtingley@usgs.gov"
+ },
+ "description": "These data represent current and projected mid- and late-century adult walleye presence/absence in inland lakes of Wisconsin, USA. These data were generated using a suite of landscape and thermal predictor variables and data from walleye electrofishing surveys. Data are represented as probabilities (range 0-1) of presence/absence during each time period (current, mid-century and late-century). Data were generated using a random forest approach. The final model contained nine variables: lake area, maximum depth, mean coefficient of variation of surface temperature from 30-60 days post ice off, growing degree days (base 5 °C), conductivity, proportion developed shoreline, mean coefficient of variation of surface temperature from 0-30 days post ice off, lake order, and the upstream probability of adult walleye in the connected river system. Lake area was the most influential predictor variable (measured by variable importance).",
+ "distribution": [
+ {
+ "@type": "dcat:Distribution",
+ "accessURL": "https://doi.org/10.5066/P9ZLM6UK",
+ "description": "Landing page for access to the data",
+ "format": "XML",
+ "mediaType": "application/http",
+ "title": "Digital Data"
+ },
+ {
+ "@type": "dcat:Distribution",
+ "description": "The metadata original format",
+ "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.646ed5a7d34e4e58932cf829.xml",
+ "format": "XML",
+ "mediaType": "text/xml",
+ "title": "Original Metadata"
+ }
+ ],
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_646ed5a7d34e4e58932cf829",
+ "keyword": [
+ "Midwest",
+ "USGS:646ed5a7d34e4e58932cf829",
+ "Wisconsin",
+ "biota",
+ "climate change",
+ "environment",
+ "farming",
+ "fisheries"
+ ],
+ "modified": "2026-09-24T00:00:00Z",
+ "publisher": {
+ "@type": "org:Organization",
+ "name": "U.S. Geological Survey"
+ },
+ "spatial": "-92.8894, 42.4721, -86.7700, 46.7700",
+ "theme": [
+ "geospatial"
+ ],
+ "title": "Current and projected mid- and late-century walleye presence/absence in inland lakes of Wisconsin, USA"
+ },
+ "description": "These data represent current and projected mid- and late-century adult walleye presence/absence in inland lakes of Wisconsin, USA. These data were generated using a suite of landscape and thermal predictor variables and data from walleye electrofishing surveys. Data are represented as probabilities (range 0-1) of presence/absence during each time period (current, mid-century and late-century). Data were generated using a random forest approach. The final model contained nine variables: lake area, maximum depth, mean coefficient of variation of surface temperature from 30-60 days post ice off, growing degree days (base 5 °C), conductivity, proportion developed shoreline, mean coefficient of variation of surface temperature from 0-30 days post ice off, lake order, and the upstream probability of adult walleye in the connected river system. Lake area was the most influential predictor variable (measured by variable importance).",
+ "distribution_titles": [
+ "Digital Data",
+ "Original Metadata"
+ ],
+ "harvest_record": "https://catalog.data.gov/harvest_record/56361739-3ef0-48d4-a448-5e6a0bb5f5a1",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/56361739-3ef0-48d4-a448-5e6a0bb5f5a1/raw",
+ "has_download": true,
+ "has_spatial": true,
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_646ed5a7d34e4e58932cf829",
+ "keyword": [
+ "Midwest",
+ "USGS:646ed5a7d34e4e58932cf829",
+ "Wisconsin",
+ "biota",
+ "climate change",
+ "environment",
+ "farming",
+ "fisheries"
+ ],
+ "last_harvested_date": "2026-09-27T01:01:31.818256",
+ "organization": {
+ "aliases": [
+ "dept"
+ ],
+ "code_repo_exempt": false,
+ "code_repo_url": null,
+ "description": null,
+ "id": "143529f7-2eef-4a07-b227-93ac9e84fad8",
+ "logo": "https://raw.githubusercontent.com/GSA/logo/master/doi.png",
+ "name": "Department of the Interior",
+ "organization_type": "Federal Government",
+ "slug": "doi"
+ },
+ "parent_identifier": null,
+ "popularity": 0,
+ "publisher": "U.S. Geological Survey",
+ "slug": "current-and-projected-mid-and-late-century-walleye-presence-absence-in-inland-lakes-of-wis-0453d",
+ "spatial_centroid": {
+ "lat": 44.19126,
+ "lon": -90.44163999999999
+ },
+ "spatial_shape": {
+ "coordinates": [
+ [
+ [
+ -92.8894,
+ 42.4721
+ ],
+ [
+ -92.8894,
+ 46.77
+ ],
+ [
+ -86.77,
+ 46.77
+ ],
+ [
+ -86.77,
+ 42.4721
+ ],
+ [
+ -92.8894,
+ 42.4721
+ ]
+ ]
+ ],
+ "type": "Polygon"
+ },
+ "theme": [
+ "geospatial"
+ ],
+ "title": "Current and projected mid- and late-century walleye presence/absence in inland lakes of Wisconsin, USA",
+ "type": "dataset"
+ },
+ {
+ "_score": 29.25245,
+ "_sort": [
+ 1790470866583,
+ 29.25245,
+ 0,
+ "8ba3b909-4729-4bf2-b377-e196ee659b00"
+ ],
+ "dcat": {
+ "accessLevel": "public",
+ "bureauCode": [
+ "010:12"
+ ],
+ "contactPoint": {
+ "@type": "vcard:Contact",
+ "fn": "Cody Hudson",
+ "hasEmail": "mailto:chudson@intera.com"
+ },
+ "description": "Daily streamflow and reservoir water elevation data for modeled locations in the Red River Basin. Values reported are for 18 different GCM (Global Climate Model) / RCP (Representative Concentration Pathway) / GDM Downscaling scenarios. Climate data from each scenario was input into a Variable Infiltration Capacity (VIC) model, that output flow values. These values were then input into RiverWare, to determine the impacts on regulated flows, lake levels and water availability. RiverWare was used for this project, because of its ability to simulate water use, reservoir operations, and local/interstate regulations.",
+ "distribution": [
+ {
+ "@type": "dcat:Distribution",
+ "accessURL": "https://doi.org/10.21429/C91599",
+ "description": "Landing page for access to the data",
+ "format": "XML",
+ "mediaType": "application/http",
+ "title": "Digital Data"
+ },
+ {
+ "@type": "dcat:Distribution",
+ "description": "The metadata original format",
+ "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.57d6e56be4b090824ff87b97.xml",
+ "format": "XML",
+ "mediaType": "text/xml",
+ "title": "Original Metadata"
+ }
+ ],
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_57d6e56be4b090824ff87b97",
+ "keyword": [
+ "Arkansas",
+ "Climate Change",
+ "Red River",
+ "RiverWare",
+ "USGS:57d6e56be4b090824ff87b97",
+ "Water Availability",
+ "environment"
+ ],
+ "modified": "2026-09-23T00:00:00Z",
+ "publisher": {
+ "@type": "org:Organization",
+ "name": "U.S. Geological Survey"
+ },
+ "spatial": "-94.3838, 33.0127, -91.4403, 34.6279",
+ "theme": [
+ "geospatial"
+ ],
+ "title": "RiverWare Daily Simulated values of Streamflow from 2006-2099: Arkansas"
+ },
+ "description": "Daily streamflow and reservoir water elevation data for modeled locations in the Red River Basin. Values reported are for 18 different GCM (Global Climate Model) / RCP (Representative Concentration Pathway) / GDM Downscaling scenarios. Climate data from each scenario was input into a Variable Infiltration Capacity (VIC) model, that output flow values. These values were then input into RiverWare, to determine the impacts on regulated flows, lake levels and water availability. RiverWare was used for this project, because of its ability to simulate water use, reservoir operations, and local/interstate regulations.",
+ "distribution_titles": [
+ "Digital Data",
+ "Original Metadata"
+ ],
+ "harvest_record": "https://catalog.data.gov/harvest_record/bf00aadd-224d-4971-bcd4-d20d67b99b59",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/bf00aadd-224d-4971-bcd4-d20d67b99b59/raw",
+ "has_download": true,
+ "has_spatial": true,
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_57d6e56be4b090824ff87b97",
+ "keyword": [
+ "Arkansas",
+ "Climate Change",
+ "Red River",
+ "RiverWare",
+ "USGS:57d6e56be4b090824ff87b97",
+ "Water Availability",
+ "environment"
+ ],
+ "last_harvested_date": "2026-09-27T01:01:06.583262",
+ "organization": {
+ "aliases": [
+ "dept"
+ ],
+ "code_repo_exempt": false,
+ "code_repo_url": null,
+ "description": null,
+ "id": "143529f7-2eef-4a07-b227-93ac9e84fad8",
+ "logo": "https://raw.githubusercontent.com/GSA/logo/master/doi.png",
+ "name": "Department of the Interior",
+ "organization_type": "Federal Government",
+ "slug": "doi"
+ },
+ "parent_identifier": null,
+ "popularity": 0,
+ "publisher": "U.S. Geological Survey",
+ "slug": "riverware-daily-simulated-values-of-streamflow-from-2006-2099-arkansas",
+ "spatial_centroid": {
+ "lat": 33.65878,
+ "lon": -93.2064
+ },
+ "spatial_shape": {
+ "coordinates": [
+ [
+ [
+ -94.3838,
+ 33.0127
+ ],
+ [
+ -94.3838,
+ 34.6279
+ ],
+ [
+ -91.4403,
+ 34.6279
+ ],
+ [
+ -91.4403,
+ 33.0127
+ ],
+ [
+ -94.3838,
+ 33.0127
+ ]
+ ]
+ ],
+ "type": "Polygon"
+ },
+ "theme": [
+ "geospatial"
+ ],
+ "title": "RiverWare Daily Simulated values of Streamflow from 2006-2099: Arkansas",
+ "type": "dataset"
+ },
+ {
+ "_score": 19.15396,
+ "_sort": [
+ 1790470849147,
+ 19.15396,
+ 1,
+ "839fe149-cf82-4582-a96d-f13882c9654f"
+ ],
+ "dcat": {
+ "accessLevel": "public",
+ "bureauCode": [
+ "010:12"
+ ],
+ "contactPoint": {
+ "@type": "vcard:Contact",
+ "fn": "Adam J Terando",
+ "hasEmail": "mailto:aterando@usgs.gov"
+ },
+ "description": "Prescribed burning is a critical tool for managing wildfire risks and meeting ecological objectives, but its safe and effective application requires that specific meteorological criteria are met. This dataset contains results from a study examining the potential impacts of projected climatic change on prescribed burning in the southeastern United States. A set of burn window criteria (suitable weather conditions within which burning may occur based on maximum daily temperature, daily average relative humidity, and daily average wind speed), were applied to projections from an ensemble of Global Climate Models (GCM) under two greenhouse gas emission scenarios, as well as past observations for comparison. Data are provided as decadal output for observed conditions, and for individual GCM results for the historical climate scenario and the two future climate scenarios are provided. In addition, summary statistics (e.g., multi-model mean, and for selected quantiles) are provided for the GCM ensemble as a whole by decade.",
+ "distribution": [
+ {
+ "@type": "dcat:Distribution",
+ "accessURL": "https://doi.org/10.5066/P95BV7GE",
+ "description": "Landing page for access to the data",
+ "format": "XML",
+ "mediaType": "application/http",
+ "title": "Digital Data"
+ },
+ {
+ "@type": "dcat:Distribution",
+ "description": "The metadata original format",
+ "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.609c8666d34ea221ce3abde8.xml",
+ "format": "XML",
+ "mediaType": "text/xml",
+ "title": "Original Metadata"
+ }
+ ],
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_609c8666d34ea221ce3abde8",
  "keyword": [
  "Alabama",
  "Arkansas",
@@ -508,7 +3448,7 @@
  "Southeast United states",
  "Tennessee",
  "Texas",
- "USGS:609afbc2d34ea221ce37107c",
+ "USGS:609c8666d34ea221ce3abde8",
  "Virginia",
  "West Virginia",
  "farming",
@@ -527,18 +3467,18 @@
  "theme": [
  "geospatial"
  ],
- "title": "GFDLG Monthly Future Prescribed Burn Windows for the Southeast United States 2010-2099 RCP 4.5"
+ "title": "GFDLG Historical Prescribed Burn Windows for the Southeast United States 1950-1999"
  },
  "description": "Prescribed burning is a critical tool for managing wildfire risks and meeting ecological objectives, but its safe and effective application requires that specific meteorological criteria are met. This dataset contains results from a study examining the potential impacts of projected climatic change on prescribed burning in the southeastern United States. A set of burn window criteria (suitable weather conditions within which burning may occur based on maximum daily temperature, daily average relative humidity, and daily average wind speed), were applied to projections from an ensemble of Global Climate Models (GCM) under two greenhouse gas emission scenarios, as well as past observations for comparison. Data are provided as decadal output for observed conditions, and for individual GCM results for the historical climate scenario and the two future climate scenarios are provided. In addition, summary statistics (e.g., multi-model mean, and for selected quantiles) are provided for the GCM ensemble as a whole by decade.",
  "distribution_titles": [
  "Digital Data",
  "Original Metadata"
  ],
- "harvest_record": "https://catalog.data.gov/harvest_record/88235ced-e560-4d12-9a45-a69c343ed175",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/88235ced-e560-4d12-9a45-a69c343ed175/raw",
+ "harvest_record": "https://catalog.data.gov/harvest_record/2942de2d-bdf4-456d-9b71-6c54008d66ad",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/2942de2d-bdf4-456d-9b71-6c54008d66ad/raw",
  "has_download": true,
  "has_spatial": true,
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_609afbc2d34ea221ce37107c",
+ "identifier": "http://datainventory.doi.gov/id/dataset/USGS_609c8666d34ea221ce3abde8",
  "keyword": [
  "Alabama",
  "Arkansas",
@@ -554,7 +3494,7 @@
  "Southeast United states",
  "Tennessee",
  "Texas",
- "USGS:609afbc2d34ea221ce37107c",
+ "USGS:609c8666d34ea221ce3abde8",
  "Virginia",
  "West Virginia",
  "farming",
@@ -564,7 +3504,7 @@
  "statistical downscaling",
  "wildfires"
  ],
- "last_harvested_date": "2026-09-27T00:14:10.952939",
+ "last_harvested_date": "2026-09-27T01:00:49.147390",
  "organization": {
  "aliases": [
  "dept"
@@ -579,9 +3519,9 @@
  "slug": "doi"
  },
  "parent_identifier": null,
- "popularity": 2,
+ "popularity": 1,
  "publisher": "U.S. Geological Survey",
- "slug": "gfdlg-monthly-future-prescribed-burn-windows-for-the-southeast-united-states-2010-2099-rcp",
+ "slug": "gfdlg-historical-prescribed-burn-windows-for-the-southeast-united-states-1950-1999",
  "spatial_centroid": {
  "lat": 32.27966,
  "lon": -90.73102
@@ -616,3789 +3556,16 @@
  "theme": [
  "geospatial"
  ],
- "title": "GFDLG Monthly Future Prescribed Burn Windows for the Southeast United States 2010-2099 RCP 4.5",
+ "title": "GFDLG Historical Prescribed Burn Windows for the Southeast United States 1950-1999",
  "type": "dataset"
  },
  {
- "_score": 1.9064627,
+ "_score": 19.360308,
  "_sort": [
- 1790468005250,
- 1.9064627,
- 9,
- "ca3da124-7700-40b8-b79b-beb6033a77bb"
- ],
- "dcat": {
- "@type": "dcat:Dataset",
- "accessLevel": "non-public",
- "contactPoint": {
- "@type": "vcard:Contact",
- "fn": "NOAA National Centers for Environmental Information",
- "hasEmail": "mailto:ncei.info@noaa.gov"
- },
- "describedByType": "application/octet-stream",
- "description": "This dataset includes physical and biochemical oceanographic observational data from the Hawaii Ocean Time-series (HOT) Program, including thermosalinograph, CTD, bottle and biochemical data. The HOT program makes repeated observations of the physics, biology and chemistry at a site approximately 100 km north of Oahu, Hawaii. The program began in 1988. Two stations are visited about once a month: Kahe Point (Station 1: 21.34N, 158.27W) and Station ALOHA (Station 2: 22.75N, 158W). Various other stations are made intermittently in support of similar research objectives or mooring deployments.\n\nThis dataset also includes physical-biogeochemical measurements from Station HALE-ALOHA (Hawai'i Air-sea Logging Experiment, A Long-Term Oligotrophic Habitat Assessment), measurements of high-quality air-sea fluxes and the associated upper ocean response from The Woods Hole Oceanographic Institution (WHOI) Hawaii Ocean Timeseries (HOT) Site (WHOTS), as well as hydrographic and biogeochemical parameters from the ALOHA-CLIMAX Regional Study.",
- "distribution": [
- {
- "@type": "dcat:Distribution",
- "accessURL": "https://www.ncei.noaa.gov/archive/accession/Station-ALOHA-HOT",
- "describedByType": "application/octet-stream",
- "description": "Navigate directly to the URL for a descriptive web page with download links.",
- "mediaType": "text/html",
- "title": "NCEI Dataset Landing Page"
- },
- {
- "@type": "dcat:Distribution",
- "accessURL": "https://data.noaa.gov/onestop/collections/granules/910beb54-8165-4205-8f6a-eb6e94a4d463",
- "describedByType": "application/octet-stream",
- "description": "Browse data granules belonging to this collection (a granule is the smallest aggregation of data that can be independently described and retrieved).",
- "mediaType": "text/html",
- "title": "Browse granules"
- },
- {
- "@type": "dcat:Distribution",
- "accessURL": "https://www.ncei.noaa.gov/metadata/granule/geoportal/?from=0&size=10&esdsl=%7B%22query%22%3A%7B%22bool%22%3A%7B%22must%22%3A%5B%7B%22query_string%22%3A%7B%22analyze_wildcard%22%3Atrue%2C%22query%22%3A%22fileid%3AStation-ALOHA-HOT.*%22%7D%7D%5D%7D%7D%7D#searchPanel",
- "describedByType": "application/octet-stream",
- "description": "Search for data granules belonging to this collection (a granule is the smallest aggregation of data that can be independently described and retrieved).",
- "mediaType": "text/html",
- "title": "Search for granules"
- },
- {
- "@type": "dcat:Distribution",
- "accessURL": "https://hahana.soest.hawaii.edu/stationaloha/",
- "describedByType": "application/octet-stream",
- "description": "project web site",
- "mediaType": "text/html",
- "title": "https://hahana.soest.hawaii.edu/stationaloha/"
- },
- {
- "@type": "dcat:Distribution",
- "accessURL": "https://discover.library.noaa.gov/permalink/01NOAA_INST/1qbesct/alma991001174379707381",
- "describedByType": "application/octet-stream",
- "description": "NOAA Central Library: v.; ill., maps; 28 cm",
- "mediaType": "text/html",
- "title": "Hawaii ocean time-series program data report"
- },
- {
- "@type": "dcat:Distribution",
- "accessURL": "https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords",
- "describedByType": "application/octet-stream",
- "description": "Global Change Master Directory (GCMD). 2025. GCMD Keywords, Version 21. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords",
- "mediaType": "text/html",
- "title": "GCMD Keyword Forum Page"
- },
- {
- "@type": "dcat:Distribution",
- "accessURL": "https://www.ncei.noaa.gov/contact",
- "describedByType": "application/octet-stream",
- "description": "Information for contacts at NCEI.",
- "mediaType": "text/html",
- "title": "NCEI Contact Information"
- },
- {
- "@type": "dcat:Distribution",
- "accessURL": "https://library.noaa.gov/",
- "describedByType": "application/octet-stream",
- "description": "Institution web page",
- "mediaType": "text/html",
- "title": "NOAA Library website"
- }
- ],
- "identifier": "https://data.noaa.gov/waf/NOAA/NESDIS/ncei/accessions/iso/xml/Station-ALOHA-HOT.xml",
- "issued": "1993-01-01T00:00:00.000+00:00",
- "keyword": [
- "0000497",
- "0000639",
- "0000640",
- "0000641",
- "0001016",
- "0001704",
- "0001707",
- "0001710",
- "0010624",
- "0010740",
- "0011142",
- "0041594",
- "0041849",
- "0042029",
- "0046427",
- "0048660",
- "0048725",
- "0048896",
- "0059842",
- "0059936",
- "0059943",
- "0068957",
- "0069177",
- "0069501",
- "0087584",
- "0087596",
- "0087988",
- "0088839",
- "0089168",
- "0101146",
- "0101727",
- "0103907",
- "0119430",
- "0119895",
- "0120323",
- "0125579",
- "0125647",
- "0125648",
- "0140225",
- "0218247",
- "0224688",
- "0224752",
- "0224756",
- "0224849",
- "0242075",
- "0276338",
- "0284084",
- "0298064",
- "0308400",
- "9300009",
- "9300040",
- "9300148",
- "9300149",
- "9300183",
- "9700176",
- "9800125",
- "9900206",
- "9900207",
- "9900208",
- "9900212",
- "9900213",
- "9900214",
- "9900215",
- "AIR TEMPERATURE",
- "AIR TEMPERATURE - DRY BULB",
- "AIR TEMPERATURE - WET BULB",
- "AMMONIA (NH3)",
- "AMMONIUM (NH4)",
- "bacteria",
- "BACTERIA - HETEROTROPHIC",
- "BAROMETRIC PRESSURE",
- "BIOCHEMISTRY",
- "biological data",
- "CARBON",
- "CARBON - TOTAL ORGANIC",
- "CARBON ASSIMILATION",
- "CAROTENOIDS - PLANT",
- "CHLOROPHYLL",
- "CHLOROPHYLL - RELATIVE FLUORESCENCE",
- "CHLOROPHYLL A",
- "CHLOROPHYLL C",
- "cloud amount/frequency",
- "cloud type",
- "CONDUCTIVITY",
- "CURRENT DIRECTION",
- "CURRENT METER - EAST-WEST COMPONENT (U)",
- "CURRENT METER - NORTH-SOUTH COMPONENT (V)",
- "CURRENT SPEED",
- "CURRENT SPEED - UP/DOWN COMPONENT (W)",
- "DELTA CARBON-13",
- "DELTA NITROGEN-15",
- "DEPTH - OBSERVATION",
- "dew point",
- "Diadinoxanthin",
- "DISSOLVED INORGANIC CARBON (DIC)",
- "DISSOLVED ORGANIC CARBON",
- "Dissolved Organic Nitrogen",
- "DISSOLVED OXYGEN",
- "DOWNWELLING RADIANCE",
- "DYNAMIC DEPTH ANOMALY",
- "DYNAMIC HEIGHT",
- "Eukaryote",
- "FLUORESCENCE",
- "fucoxanthin",
- "HPLC PIGMENTS",
- "HYDROCARBONS - TOTAL RESOLVED",
- "HYDROSTATIC PRESSURE",
- "irradiance",
- "LIGHT ATTENUATION",
- "LIGHT TRANSMISSION",
- "NITRATE",
- "nitrate + nitrite content (concentration)",
- "NITRATE/NITRITE RATIO",
- "NITRITE",
- "NITROGEN",
- "NITROGEN - PARTICULATE",
- "nitrous oxide (N2O)",
- "NUTRIENTS",
- "ORGANIC CHEMICALS",
- "OXYGEN",
- "OXYGEN - DISSOLVED ORGANIC",
- "partial pressure of carbon dioxide - water",
- "Particulate Inorganic Carbon",
- "PARTICULATE ORGANIC CARBON",
- "PARTICULATE ORGANIC NITROGEN (PON)",
- "particulate phosphorus",
- "pH",
- "PHAEOPIGMENTS",
- "phosphate",
- "PHOSPHATE - TOTAL",
- "PHOSPHORUS - ORGANIC",
- "PHOTOSYNTHETIC ACTIVE RADIATION (PAR)",
- "PHYTOPLANKTON",
- "PIGMENTS",
- "POLYCHLORINATED BIPHENYLS",
- "Potential temperature (theta)",
- "PRIMARY PRODUCTIVITY",
- "Prochlorococcus",
- "SALINITY",
- "SALINITY - SURFACE WATER",
- "SEA STATE",
- "SEA SURFACE TEMPERATURE",
- "Secchi depth",
- "SIGMA-T",
- "SIGMA-THETA",
- "silica",
- "silicate",
- "SOLAR RADIATION - ATMOSPHERIC",
- "SOUND VELOCITY",
- "surface irradiance per incubation period",
- "suspended solids",
- "Synechococcus",
- "TIDE HEIGHT",
- "TIDE STAGE",
- "total alkalinity",
- "TOTAL CARBON",
- "TOTAL PHOSPHORUS",
- "TRANSMISSIVITY",
- "turbidity",
- "UPWELLING IRRADIANCE",
- "UREA",
- "VISIBILITY",
- "Volatile Organic Compounds",
- "WATER COLOR",
- "WATER DENSITY",
- "water depth",
- "WATER TEMPERATURE",
- "WAVE DATA",
- "WAVE HEIGHT",
- "WAVE PERIOD",
- "WEATHER",
- "WIND DIRECTION",
- "WIND FORCE",
- "WIND SPEED",
- "ZOOPLANKTON BIOMASS",
- "bathythermograph - XBT",
- "bottle",
- "buoy - moored buoy",
- "carbon-14 incubation",
- "CTD",
- "fluorometer",
- "inverted echo sounder (IES)",
- "irradiance detector",
- "laboratory analysis",
- "meteorological sensor",
- "oxygen sensor",
- "radiometer",
- "salinometer",
- "Secchi disk",
- "sediment sampler - corer",
- "sediment sampler - grab",
- "spectrophotometer",
- "thermistor",
- "thermosalinograph",
- "transmissometer",
- "trap - sediment",
- "visual analysis",
- "benthic",
- "biological",
- "chemical",
- "current measurements",
- "geological",
- "integrated profiles",
- "laboratory analyses",
- "meteorological",
- "optical",
- "physical",
- "profile",
- "site samples",
- "time series",
- "underway",
- "water chemistry",
- "CROMWELL",
- "FIXED PLATFORM OF UNITED STATES",
- "FIXED STATIONS OF UNITED STATES",
- "KA'IMIKAI-O-KANALOA",
- "KAHO",
- "KAIMALINO",
- "KILA",
- "MARINE VIEW",
- "MOANA WAVE",
- "NA'INA",
- "NESHANIC",
- "NEW HORIZON",
- "NOAA Ship Hi'ialakai",
- "NOAA Ship Oscar Elton Sette",
- "NOAA Ship Townsend Cromwell",
- "OCEANUS",
- "R/V KILO MOANA",
- "R/V Knorr",
- "R/V MAURICE EWING",
- "R/V Melville",
- "R/V Roger Revelle",
- "R/V THOMAS G. THOMPSON",
- "R/V WECOMA",
- "RV Alpha Helix",
- "Sikuliaq",
- "THOMSON",
- "UNKNOWN PLATFORMS OF UNITED STATES",
- "USCGC Klamath",
- "USCGC Westwind",
- "Oregon State University, College of Earth, Ocean, and Atmospheric Sciences",
- "University of Hawaiʻi at Mānoa",
- "University of Washington",
- "Woods Hole Oceanographic Institution",
- "Oregon State University, College of Earth, Ocean, and Atmospheric Sciences",
- "University of Hawaiʻi at Hilo",
- "University of Hawaiʻi at Mānoa",
- "Climate Variability and Predictability (CLIVAR)",
- "Hawaii Air-Sea Logging Experiment - A Long-term Oligotrophic Habitat Assessment (HALE-ALOHA)",
- "Hawaii Ocean Time-series Program: Biogeochemistry and Ecology Component (HOT-BEACH)",
- "JOINT GLOBAL OCEAN FLUX STUDY (JGOFS)",
- "Joint Global Ocean Flux Study: Hawaii Ocean Time-series (JGOFS HOT)",
- "WHOI Hawaii Ocean Timeseries Site (WHOTS)",
- "WORLD CLIMATE RESEARCH PROGRAM",
- "World Ocean Circulation Experiment (WOCE)",
- "Coastal Waters of Hawaii",
- "Hawaiian Islands Humpback Whale National Marine Sanctuary",
- "North Pacific Ocean",
- "Northeast Pacific Ocean (limit-180)",
- "Papahānaumokuākea Marine National Monument",
- "oceanography",
- "DOC/NOAA/NESDIS/NODC > National Oceanographic Data Center, NESDIS, NOAA, U.S. Department of Commerce",
- "OR-STATE/CEOAS > College of Earth, Ocean, and Atmospheric Sciences, Oregon State University",
- "WHOI > WOODS HOLE OCEANOGRAPHIC INSTITUTION",
- "AC-1",
- "AC-2",
- "HA-1",
- "HA-2",
- "HA-3",
- "HA-4",
- "HA-5",
- "HOT-1",
- "HOT-10",
- "HOT-100",
- "HOT-101",
- "HOT-102",
- "HOT-103",
- "HOT-104",
- "HOT-105",
- "HOT-11",
- "HOT-12",
- "HOT-13",
- "HOT-14",
- "HOT-15",
- "HOT-16",
- "HOT-17",
- "HOT-18",
- "HOT-19",
- "HOT-2",
- "HOT-20",
- "HOT-21",
- "HOT-22",
- "HOT-23",
- "HOT-24",
- "HOT-25",
- "HOT-26",
- "HOT-27",
- "HOT-28",
- "HOT-29",
- "HOT-3",
- "HOT-30",
- "HOT-31",
- "HOT-32",
- "HOT-33",
- "HOT-34",
- "HOT-35",
- "HOT-36",
- "HOT-37",
- "HOT-38",
- "HOT-39",
- "HOT-4",
- "HOT-40",
- "HOT-41",
- "HOT-42",
- "HOT-43",
- "HOT-44",
- "HOT-45",
- "HOT-46",
- "HOT-47",
- "HOT-48",
- "HOT-49",
- "HOT-5",
- "HOT-50",
- "HOT-51",
- "HOT-52",
- "HOT-53",
- "HOT-54",
- "HOT-55",
- "HOT-56",
- "HOT-57",
- "HOT-58",
- "HOT-59",
- "HOT-6",
- "HOT-60",
- "HOT-61",
- "HOT-62",
- "HOT-63",
- "HOT-64",
- "HOT-65",
- "HOT-66",
- "HOT-67",
- "HOT-68",
- "HOT-69",
- "HOT-7",
- "HOT-70",
- "HOT-71",
- "HOT-72",
- "HOT-73",
- "HOT-74",
- "HOT-75",
- "HOT-76",
- "HOT-77",
- "HOT-78",
- "HOT-79",
- "HOT-8",
- "HOT-80",
- "HOT-81",
- "HOT-82",
- "HOT-83",
- "HOT-84",
- "HOT-85",
- "HOT-86",
- "HOT-87",
- "HOT-88",
- "HOT-89",
- "HOT-9",
- "HOT-90",
- "HOT-91",
- "HOT-92",
- "HOT-93",
- "HOT-94",
- "HOT-95",
- "HOT-96",
- "HOT-97",
- "HOT-98",
- "HOT-99",
- "CLIVAR > Climate Variability",
- "HOT > Hawaiian Ocean Time Series Project",
- "JGOFS > Joint Global Ocean Flux Study, IGBP",
- "WCRP > World Climate Research Program",
- "WOCE > World Ocean Circulation Experiment",
- "Woods Hole HOT (WHOTS)",
- "Woods Hole Hawaii Ocean Time Series (WHOTS)",
- "HA-1",
- "HA-2",
- "HA-3",
- "ALOHA-Climax",
- "Hawaii Air-sea Logging Experiment, A Long-term Oligotrophic Habitat Assessment (HALE-ALOHA)",
- "Hawaii Ocean Time-series (HOTS)",
- "Joint Global Ocean Flux Study (JGOFS)",
- "World Ocean Circulation Experiment (WOCE)",
- "EARTH SCIENCE > AGRICULTURE > ANIMAL SCIENCE > ANIMAL PHYSIOLOGY AND BIOCHEMISTRY",
- "EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC PRESSURE",
- "EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC RADIATION > INCOMING SOLAR RADIATION",
- "EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE",
- "EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > SURFACE TEMPERATURE > AIR TEMPERATURE",
- "EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > SURFACE TEMPERATURE > DEW POINT TEMPERATURE",
- "EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > SURFACE WINDS > WIND DIRECTION",
- "EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > SURFACE WINDS > WIND SPEED",
- "EARTH SCIENCE > ATMOSPHERE > CLOUDS > CLOUD PROPERTIES > CLOUD FREQUENCY",
- "EARTH SCIENCE > ATMOSPHERE > CLOUDS > CLOUD TYPES",
- "EARTH SCIENCE > BIOLOGICAL CLASSIFICATION",
- "EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > BACTERIA/ARCHAEA",
- "EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > BACTERIA/ARCHAEA > CYANOBACTERIA (BLUE-GREEN ALGAE)",
- "EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > PROTISTS > PLANKTON > PHYTOPLANKTON",
- "EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS > ECOSYSTEM FUNCTIONS > PRIMARY PRODUCTION",
- "EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > AQUATIC ECOSYSTEMS > PLANKTON > ZOOPLANKTON",
- "EARTH SCIENCE > CLIMATE INDICATORS > ATMOSPHERIC/OCEAN INDICATORS > SURFACE SALINITY",
- "EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > WATER DEPTH",
- "EARTH SCIENCE > OCEANS > OCEAN ACOUSTICS > ACOUSTIC VELOCITY",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > ALKALINITY",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > AMMONIA",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CARBON",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CARBON DIOXIDE",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CHLOROPHYLL",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > HYDROCARBONS",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > INORGANIC CARBON",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > NITRATE",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > NITRITE",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > NITROGEN",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > NUTRIENTS",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > ORGANIC CARBON",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > OXYGEN",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > PH",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > PHOSPHATE",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > PIGMENTS",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > PIGMENTS > CHLOROPHYLL",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > SILICATE",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > SUSPENDED SOLIDS",
- "EARTH SCIENCE > OCEANS > OCEAN CIRCULATION > OCEAN CURRENTS",
- "EARTH SCIENCE > OCEANS > OCEAN OPTICS",
- "EARTH SCIENCE > OCEANS > OCEAN OPTICS > ATTENUATION/TRANSMISSION",
- "EARTH SCIENCE > OCEANS > OCEAN OPTICS > FLUORESCENCE",
- "EARTH SCIENCE > OCEANS > OCEAN OPTICS > IRRADIANCE",
- "EARTH SCIENCE > OCEANS > OCEAN OPTICS > OCEAN COLOR",
- "EARTH SCIENCE > OCEANS > OCEAN OPTICS > PHOTOSYNTHETICALLY ACTIVE RADIATION",
- "EARTH SCIENCE > OCEANS > OCEAN OPTICS > SECCHI DEPTH",
- "EARTH SCIENCE > OCEANS > OCEAN OPTICS > TURBIDITY",
- "EARTH SCIENCE > OCEANS > OCEAN PRESSURE > WATER PRESSURE",
- "EARTH SCIENCE > OCEANS > OCEAN TEMPERATURE > POTENTIAL TEMPERATURE",
- "EARTH SCIENCE > OCEANS > OCEAN TEMPERATURE > SEA SURFACE TEMPERATURE",
- "EARTH SCIENCE > OCEANS > OCEAN TEMPERATURE > WATER TEMPERATURE",
- "EARTH SCIENCE > OCEANS > OCEAN WAVES",
- "EARTH SCIENCE > OCEANS > OCEAN WAVES > SEA STATE",
- "EARTH SCIENCE > OCEANS > OCEAN WAVES > WAVE HEIGHT",
- "EARTH SCIENCE > OCEANS > OCEAN WAVES > WAVE PERIOD",
- "EARTH SCIENCE > OCEANS > SALINITY/DENSITY > CONDUCTIVITY",
- "EARTH SCIENCE > OCEANS > SALINITY/DENSITY > DENSITY",
- "EARTH SCIENCE > OCEANS > SALINITY/DENSITY > SALINITY",
- "EARTH SCIENCE > OCEANS > TIDES",
- "EARTH SCIENCE > OCEANS > TIDES > TIDAL HEIGHT",
- "CTD",
- "Chlorophyll, Pigment (uG/L)",
- "Nitrate (uMOL/KG)",
- "Oxygen (micromoles per kilogram)",
- "Pressure (Decibars)",
- "Salinity (1978 International Practical Salinity Scale)",
- "Temperature (Degrees Celsius, International Temperature Scale of 1990)",
- "hydrographic data",
- "profile data",
- "Adenosine 5'-Triphosphate (ATP) (ng/kg)",
- "Alkalinity (ueq/kg)",
- "Biogeochemical Rate Measurements",
- "Bottle Oxygen (umol/kg)",
- "Bottle Salinity (PSS-78)",
- "CTD",
- "CTD Oxygen (UMOL/KG)",
- "CTD Pressure (Decibars)",
- "CTD Salinity (PSS-78)",
- "CTD Salinity (PSU-78)",
- "CTD Temperature (ITS-90)",
- "Carbon (mg/m2/d)",
- "Carbon Assimilation",
- "Chlorophyll a. Mean (mg/m3)",
- "Chlorophyll and pigment",
- "Chlorophylll, Pigment (uG/L)",
- "Chlroropyll a. Standard Deviation (mg/m3)",
- "Dark - replicate 1 (mg C/m3)",
- "Dark - replicate 2 (mg C/m3)",
- "Dark - replicate 3 (mg C/m3)",
- "Delta-13C of PC (permil vs. VPDB)",
- "Delta-15N of PN (permil vs. air-N2)",
- "Dissolved Inorganic Carbon (DIC) (umol/kg)",
- "Dissolved Organic Carbon (DOC) (umol/kg)",
- "Dissolved Organic Nitrate (DON) (umol/kg)",
- "Dissolved Organic Phosphate (DOP) (umol/kg)",
- "Eukaryotes (E.bact) (10**5/ml)",
- "Eukaryotes (no./ml)",
- "Fluorometric Chlorophyll a (Chl a.) (ug/l)",
- "Guanosine 5'-Triphosphate (GTP) (ng/kg)",
- "HPLC 19'-Butanoyloxyfucoxanthin (19 But) (ng/l)",
- "HPLC 19'-Hexanoyloxyfucoxanthin (19 Hex) (ng/l)",
- "HPLC Alpha Carotens (A.Car) (ng/l)",
- "HPLC Beta Carotens (B.Car) (ng/l)",
- "HPLC Carotens (caroten) (ng/l)",
- "HPLC Chlorophyll [c1+c2] & Mg 3, 8 DVP4A5 (Chl c1+2) (ng/l)",
- "HPLC Chlorophyll c1 + c2 + c3 (Chl+) (ng/l)",
- "HPLC Chlorophyll c3 (Chl c3) (ng/l)",
- "HPLC Chlorophyllide a (Chlda a) (ng/l)",
- "HPLC Chloropyll b (Chl b) (ng/l)",
- "HPLC Chloropyll c4 (Chl c4) (ng/l)",
- "HPLC Diadinoxanthin (Diadino) (ng/l)",
- "HPLC Divinyl Chlorophyll a (DV.Chla) (ng/l)",
- "HPLC Fucoxanthin (Fuco) (ng/l)",
- "HPLC Lutein (Lutein) (ng/l)",
- "HPLC Monovinyl Chlorophyll a (MV.Chla) (ng/l)",
- "HPLC Peridinin (Peridino) (ng/l)",
- "HPLC Prasinoxanthin (Prasino) (ng/l)",
- "HPLC Violaxanthin (Viol) (ng/l)",
- "HPLC Zeaxanthin (Zeaxan) (ng/l)",
- "HPLC chlorophyll a. (HPLCchl) (ng/l)",
- "Heterotrophic Bacteria (H.Bact) (10**5/ml)",
- "Heterotrophic Bacteria (no./ml)",
- "Hydrogen Peroxide (H2O2) (umol/kg)",
- "International Temperature Scale of 1990)",
- "Light - replicate 1 (mg C/m3)",
- "Light - replicate 2 (mg C/m3)",
- "Light - replicate 3 (mg C/m3)",
- "Low-level Nitrate (LLN) (nmol/kg)",
- "Low-level Phosphate (LLP) (nmol/kg)",
- "Low-level Silica (LLSi) (umol/kg)",
- "Mass (mg/m2/d)",
- "NO2 (NMOL/KG)",
- "Niskin Bottles",
- "Nitrate (uMOL/KG)",
- "Nitrate + Nitrite (NO2+NO3) (umol/kg)",
- "Nitrogen (mg/m2/d)",
- "Nitrous Oxide (N2O) (umol/kg)",
- "Oxygen (micromoles per kilogram)",
- "P13c (permil)",
- "P15N (permil)",
- "PE .4u (NG/L)",
- "PE 10u (NG/L)",
- "PE 5u (NG/L)",
- "PIC (UMOL/KG)",
- "Partial Pressure of Carbon Dioxide (pCO2) (uatm)",
- "Particulate Carbon (PC) (umol/kg)",
- "Particulate Inorganic Carbon (mg/m2/d)",
- "Particulate Nitrogen (PN) (umol/kg)",
- "Particulate Phosphate (PP) (nmol/kg)",
- "Pheopigments (Pheo) (ug/l)",
- "Pheopigments Mean (mg/m3)",
- "Pheopigments Standard Deviation (mg/m3)",
- "Phosphate (PO4) (umol/kg)",
- "Phosphorus (mg/m2/d)",
- "Potential Density (kg/m3)",
- "Potential Temperature (ITC-90)",
- "Pressure (Decibars)",
- "Primary Production Parameters:",
- "Prochlorococcus (P.Bact) (10**5/ml)",
- "Prochlorococcus (no./ml)",
- "Psi (NMOL/KG)",
- "SPEC.SI (UMOL/KG)",
- "Salinity (1978 International Practical Salinity Scale)",
- "Salinity (PSS-78)",
- "Sediment Trap Flux Parameters:",
- "Silica (mg/m2/d)",
- "Silicate (SiO4) (umol/kg)",
- "Synechococcus (S.Bact) (10**5/ml)",
- "Synechococcus (no./ml)",
- "TD700A (UG/L)",
- "TD700B (UG/L)",
- "TD700C (UG/L)",
- "Temperature (Degrees Celsius",
- "Temperature (Degrees Celsius)",
- "Temperature (ITC-90)",
- "Total Dissolved Nitrogen (TDN) (umol/kg)",
- "Total Dissolved Phosphorus (TDP) (umol/kg)",
- "Transmission",
- "bacterioplankton",
- "biogeochemical data",
- "butanoyloxyfucoxanthin",
- "hydrographic data",
- "oxygen",
- "pH (TOT25, either sws25 or nbs25)",
- "peridinin",
- "physical data",
- "physical oceanographic data",
- "prasinoxanthin",
- "profile data",
- "salinity",
- "surface measurements",
- "temperature",
- "temperature and salinity profile",
- "temperature and salinity time series",
- "thermosalinograph",
- "thermosalinograph data",
- "underway data",
- "water chemistry profile",
- "water column chemical data",
- "zeaxan",
- "CTD > Conductivity, Temperature, Depth",
- "FLUOROMETERS > FLUOROMETERS",
- "GRAB SAMPLERS",
- "IES > Inverted Echo Sounders",
- "INCUBATOR",
- "OPTSPEC > Optical Spectrometer",
- "OXYGEN METERS > OXYGEN METERS",
- "RADIOMETERS",
- "SALINOMETERS",
- "SECCHI DISKS > SECCHI DISKS",
- "SEDIMENT CORERS > SEDIMENT CORERS",
- "THERMISTORS > THERMISTORS",
- "THERMOSALINOGRAPHS",
- "TRANSMISSOMETERS",
- "TRAPS > TRAPS",
- "XBT > Expendable Bathythermographs",
- "Conductivity-Temperature-Depth (CTD)",
- "Gas Tension Device (GTD)",
- "FIXED OBSERVATION STATIONS > FIXED OBSERVATION STATIONS",
- "Ships",
- "ALPHA HELIX (call sign: WSD7078, ICES code: 31HX, 1966-)",
- "CROMWELL (ICES code: 31WM)",
- "Hi'ialakai (call sign: WTEY, ICES code: 33HL, 2004-)",
- "KA'IMIKAI-O-KANALOA (call sign: WBN4310, ICES code: 33KI, 1995-)",
- "KAHO (ICES code: 31KA)",
- "KAIMALINO (ICES code: 33KA)",
- "KILA (ICES code: 33KL)",
- "KLAMATH (ICES code: 31KL)",
- "KNORR (call sign: KCEJ, ICES code: 316N, 1970-)",
- "Kilo Moana (call sign: WDA7827, ICES code: 33KB, 2002-)",
- "MARINE VIEW (ICES code: 31MW)",
- "MAURICE EWING (call sign: WLDZ, ICES code: 3230, 1988-2005)",
- "MELVILLE (call sign: WECB, ICES code: 318M, 1969-)",
- "MOANA WAVE (call sign: WUS9293, ICES code: 32MW, 1974-2011)",
- "NA'INA (ICES code: 33NA)",
- "NESHANIC (ICES code: 32NH)",
- "NEW HORIZON (call sign: WKWB, ICES code: 32NM, 1978-2015)",
- "OCEANUS (call sign: WXAQ, ICES code: 32OC, 1976-)",
- "OSCAR ELTON SETTE (call sign: WTEE, ICES code: 33OC, 2003-)",
- "ROGER REVELLE (call sign: KAOU, ICES code: 33RR, 1996-)",
- "Sikuliaq (call sign: WDN7246, ICES code: 33BI, 2013-)",
- "THOMAS G. THOMPSON (call sign: KTDQ, ICES code: 3250, 1991-)",
- "TOWNSEND CROMWELL (ICES code: 31TC)",
- "WECOMA (call sign: WSD7079, ICES code: 32WC, 1976-)",
- "WESTWIND (call sign: NLKL, ICES code: 31WE, 1952-1988)",
- "HALE-ALOHA Mooring",
- "OCEAN > PACIFIC OCEAN > CENTRAL PACIFIC OCEAN > HAWAIIAN ISLANDS",
- "OCEAN > PACIFIC OCEAN > NORTH PACIFIC OCEAN",
- "HALE ALOHA",
- "Hawaii",
- "Hawaii Ocean Time Series (HOT)",
- "Kaena Point",
- "Kahe Point",
- "Oahu",
- "Pacific",
- "Station Aloha",
- "central north Pacific",
- "HALE ALOHA",
- "Hawaii",
- "Hawaii Ocean Time Series (HOT)",
- "Kaena Point",
- "Kahe Point",
- "Oahu",
- "Pacific",
- "Station Aloha",
- "central north Pacific",
- "complete ocean profile surface to bottom"
- ],
- "landingPage": "https://www.ncei.noaa.gov/contact",
- "language": [],
- "license": "https://creativecommons.org/publicdomain/zero/1.0/",
- "modified": "2026-03-25T00:00:00.000+00:00",
- "publisher": {
- "@type": "org:Organization",
- "name": "NOAA National Centers for Environmental Information"
- },
- "references": [
- "https://hahana.soest.hawaii.edu/stationaloha/",
- "https://discover.library.noaa.gov/permalink/01NOAA_INST/1qbesct/alma991001174379707381"
- ],
- "rights": "otherRestrictions",
- "spatial": "-157.324,20.716,157.691,24.914",
- "temporal": "1988-10-01T00:00:00+00:00/2024-12-22T00:00:00+00:00",
- "theme": [
- "geospatial"
- ],
- "title": "Physical and biochemical oceanographic data from the Hawaii Ocean Time-series (HOT) program collected by University of Hawaii at Station ALOHA in the Pacific Ocean 100 miles north of Oahu, Hawaii, since 1988"
- },
- "description": "This dataset includes physical and biochemical oceanographic observational data from the Hawaii Ocean Time-series (HOT) Program, including thermosalinograph, CTD, bottle and biochemical data. The HOT program makes repeated observations of the physics, biology and chemistry at a site approximately 100 km north of Oahu, Hawaii. The program began in 1988. Two stations are visited about once a month: Kahe Point (Station 1: 21.34N, 158.27W) and Station ALOHA (Station 2: 22.75N, 158W). Various other stations are made intermittently in support of similar research objectives or mooring deployments.\n\nThis dataset also includes physical-biogeochemical measurements from Station HALE-ALOHA (Hawai'i Air-sea Logging Experiment, A Long-Term Oligotrophic Habitat Assessment), measurements of high-quality air-sea fluxes and the associated upper ocean response from The Woods Hole Oceanographic Institution (WHOI) Hawaii Ocean Timeseries (HOT) Site (WHOTS), as well as hydrographic and biogeochemical parameters from the ALOHA-CLIMAX Regional Study.",
- "distribution_titles": [
- "NCEI Dataset Landing Page",
- "Browse granules",
- "Search for granules",
- "https://hahana.soest.hawaii.edu/stationaloha/",
- "Hawaii ocean time-series program data report",
- "GCMD Keyword Forum Page",
- "NCEI Contact Information",
- "NOAA Library website"
- ],
- "harvest_record": "https://catalog.data.gov/harvest_record/9698d491-d6c1-48d3-ad6f-231248c06293",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/9698d491-d6c1-48d3-ad6f-231248c06293/raw",
- "harvest_record_transformed": "https://catalog.data.gov/harvest_record/9698d491-d6c1-48d3-ad6f-231248c06293/transformed",
- "has_download": false,
- "has_spatial": true,
- "identifier": "https://data.noaa.gov/waf/NOAA/NESDIS/ncei/accessions/iso/xml/Station-ALOHA-HOT.xml",
- "keyword": [
- "0000497",
- "0000639",
- "0000640",
- "0000641",
- "0001016",
- "0001704",
- "0001707",
- "0001710",
- "0010624",
- "0010740",
- "0011142",
- "0041594",
- "0041849",
- "0042029",
- "0046427",
- "0048660",
- "0048725",
- "0048896",
- "0059842",
- "0059936",
- "0059943",
- "0068957",
- "0069177",
- "0069501",
- "0087584",
- "0087596",
- "0087988",
- "0088839",
- "0089168",
- "0101146",
- "0101727",
- "0103907",
- "0119430",
- "0119895",
- "0120323",
- "0125579",
- "0125647",
- "0125648",
- "0140225",
- "0218247",
- "0224688",
- "0224752",
- "0224756",
- "0224849",
- "0242075",
- "0276338",
- "0284084",
- "0298064",
- "0308400",
- "9300009",
- "9300040",
- "9300148",
- "9300149",
- "9300183",
- "9700176",
- "9800125",
- "9900206",
- "9900207",
- "9900208",
- "9900212",
- "9900213",
- "9900214",
- "9900215",
- "AIR TEMPERATURE",
- "AIR TEMPERATURE - DRY BULB",
- "AIR TEMPERATURE - WET BULB",
- "AMMONIA (NH3)",
- "AMMONIUM (NH4)",
- "bacteria",
- "BACTERIA - HETEROTROPHIC",
- "BAROMETRIC PRESSURE",
- "BIOCHEMISTRY",
- "biological data",
- "CARBON",
- "CARBON - TOTAL ORGANIC",
- "CARBON ASSIMILATION",
- "CAROTENOIDS - PLANT",
- "CHLOROPHYLL",
- "CHLOROPHYLL - RELATIVE FLUORESCENCE",
- "CHLOROPHYLL A",
- "CHLOROPHYLL C",
- "cloud amount/frequency",
- "cloud type",
- "CONDUCTIVITY",
- "CURRENT DIRECTION",
- "CURRENT METER - EAST-WEST COMPONENT (U)",
- "CURRENT METER - NORTH-SOUTH COMPONENT (V)",
- "CURRENT SPEED",
- "CURRENT SPEED - UP/DOWN COMPONENT (W)",
- "DELTA CARBON-13",
- "DELTA NITROGEN-15",
- "DEPTH - OBSERVATION",
- "dew point",
- "Diadinoxanthin",
- "DISSOLVED INORGANIC CARBON (DIC)",
- "DISSOLVED ORGANIC CARBON",
- "Dissolved Organic Nitrogen",
- "DISSOLVED OXYGEN",
- "DOWNWELLING RADIANCE",
- "DYNAMIC DEPTH ANOMALY",
- "DYNAMIC HEIGHT",
- "Eukaryote",
- "FLUORESCENCE",
- "fucoxanthin",
- "HPLC PIGMENTS",
- "HYDROCARBONS - TOTAL RESOLVED",
- "HYDROSTATIC PRESSURE",
- "irradiance",
- "LIGHT ATTENUATION",
- "LIGHT TRANSMISSION",
- "NITRATE",
- "nitrate + nitrite content (concentration)",
- "NITRATE/NITRITE RATIO",
- "NITRITE",
- "NITROGEN",
- "NITROGEN - PARTICULATE",
- "nitrous oxide (N2O)",
- "NUTRIENTS",
- "ORGANIC CHEMICALS",
- "OXYGEN",
- "OXYGEN - DISSOLVED ORGANIC",
- "partial pressure of carbon dioxide - water",
- "Particulate Inorganic Carbon",
- "PARTICULATE ORGANIC CARBON",
- "PARTICULATE ORGANIC NITROGEN (PON)",
- "particulate phosphorus",
- "pH",
- "PHAEOPIGMENTS",
- "phosphate",
- "PHOSPHATE - TOTAL",
- "PHOSPHORUS - ORGANIC",
- "PHOTOSYNTHETIC ACTIVE RADIATION (PAR)",
- "PHYTOPLANKTON",
- "PIGMENTS",
- "POLYCHLORINATED BIPHENYLS",
- "Potential temperature (theta)",
- "PRIMARY PRODUCTIVITY",
- "Prochlorococcus",
- "SALINITY",
- "SALINITY - SURFACE WATER",
- "SEA STATE",
- "SEA SURFACE TEMPERATURE",
- "Secchi depth",
- "SIGMA-T",
- "SIGMA-THETA",
- "silica",
- "silicate",
- "SOLAR RADIATION - ATMOSPHERIC",
- "SOUND VELOCITY",
- "surface irradiance per incubation period",
- "suspended solids",
- "Synechococcus",
- "TIDE HEIGHT",
- "TIDE STAGE",
- "total alkalinity",
- "TOTAL CARBON",
- "TOTAL PHOSPHORUS",
- "TRANSMISSIVITY",
- "turbidity",
- "UPWELLING IRRADIANCE",
- "UREA",
- "VISIBILITY",
- "Volatile Organic Compounds",
- "WATER COLOR",
- "WATER DENSITY",
- "water depth",
- "WATER TEMPERATURE",
- "WAVE DATA",
- "WAVE HEIGHT",
- "WAVE PERIOD",
- "WEATHER",
- "WIND DIRECTION",
- "WIND FORCE",
- "WIND SPEED",
- "ZOOPLANKTON BIOMASS",
- "bathythermograph - XBT",
- "bottle",
- "buoy - moored buoy",
- "carbon-14 incubation",
- "CTD",
- "fluorometer",
- "inverted echo sounder (IES)",
- "irradiance detector",
- "laboratory analysis",
- "meteorological sensor",
- "oxygen sensor",
- "radiometer",
- "salinometer",
- "Secchi disk",
- "sediment sampler - corer",
- "sediment sampler - grab",
- "spectrophotometer",
- "thermistor",
- "thermosalinograph",
- "transmissometer",
- "trap - sediment",
- "visual analysis",
- "benthic",
- "biological",
- "chemical",
- "current measurements",
- "geological",
- "integrated profiles",
- "laboratory analyses",
- "meteorological",
- "optical",
- "physical",
- "profile",
- "site samples",
- "time series",
- "underway",
- "water chemistry",
- "CROMWELL",
- "FIXED PLATFORM OF UNITED STATES",
- "FIXED STATIONS OF UNITED STATES",
- "KA'IMIKAI-O-KANALOA",
- "KAHO",
- "KAIMALINO",
- "KILA",
- "MARINE VIEW",
- "MOANA WAVE",
- "NA'INA",
- "NESHANIC",
- "NEW HORIZON",
- "NOAA Ship Hi'ialakai",
- "NOAA Ship Oscar Elton Sette",
- "NOAA Ship Townsend Cromwell",
- "OCEANUS",
- "R/V KILO MOANA",
- "R/V Knorr",
- "R/V MAURICE EWING",
- "R/V Melville",
- "R/V Roger Revelle",
- "R/V THOMAS G. THOMPSON",
- "R/V WECOMA",
- "RV Alpha Helix",
- "Sikuliaq",
- "THOMSON",
- "UNKNOWN PLATFORMS OF UNITED STATES",
- "USCGC Klamath",
- "USCGC Westwind",
- "Oregon State University, College of Earth, Ocean, and Atmospheric Sciences",
- "University of Hawaiʻi at Mānoa",
- "University of Washington",
- "Woods Hole Oceanographic Institution",
- "Oregon State University, College of Earth, Ocean, and Atmospheric Sciences",
- "University of Hawaiʻi at Hilo",
- "University of Hawaiʻi at Mānoa",
- "Climate Variability and Predictability (CLIVAR)",
- "Hawaii Air-Sea Logging Experiment - A Long-term Oligotrophic Habitat Assessment (HALE-ALOHA)",
- "Hawaii Ocean Time-series Program: Biogeochemistry and Ecology Component (HOT-BEACH)",
- "JOINT GLOBAL OCEAN FLUX STUDY (JGOFS)",
- "Joint Global Ocean Flux Study: Hawaii Ocean Time-series (JGOFS HOT)",
- "WHOI Hawaii Ocean Timeseries Site (WHOTS)",
- "WORLD CLIMATE RESEARCH PROGRAM",
- "World Ocean Circulation Experiment (WOCE)",
- "Coastal Waters of Hawaii",
- "Hawaiian Islands Humpback Whale National Marine Sanctuary",
- "North Pacific Ocean",
- "Northeast Pacific Ocean (limit-180)",
- "Papahānaumokuākea Marine National Monument",
- "oceanography",
- "DOC/NOAA/NESDIS/NODC > National Oceanographic Data Center, NESDIS, NOAA, U.S. Department of Commerce",
- "OR-STATE/CEOAS > College of Earth, Ocean, and Atmospheric Sciences, Oregon State University",
- "WHOI > WOODS HOLE OCEANOGRAPHIC INSTITUTION",
- "AC-1",
- "AC-2",
- "HA-1",
- "HA-2",
- "HA-3",
- "HA-4",
- "HA-5",
- "HOT-1",
- "HOT-10",
- "HOT-100",
- "HOT-101",
- "HOT-102",
- "HOT-103",
- "HOT-104",
- "HOT-105",
- "HOT-11",
- "HOT-12",
- "HOT-13",
- "HOT-14",
- "HOT-15",
- "HOT-16",
- "HOT-17",
- "HOT-18",
- "HOT-19",
- "HOT-2",
- "HOT-20",
- "HOT-21",
- "HOT-22",
- "HOT-23",
- "HOT-24",
- "HOT-25",
- "HOT-26",
- "HOT-27",
- "HOT-28",
- "HOT-29",
- "HOT-3",
- "HOT-30",
- "HOT-31",
- "HOT-32",
- "HOT-33",
- "HOT-34",
- "HOT-35",
- "HOT-36",
- "HOT-37",
- "HOT-38",
- "HOT-39",
- "HOT-4",
- "HOT-40",
- "HOT-41",
- "HOT-42",
- "HOT-43",
- "HOT-44",
- "HOT-45",
- "HOT-46",
- "HOT-47",
- "HOT-48",
- "HOT-49",
- "HOT-5",
- "HOT-50",
- "HOT-51",
- "HOT-52",
- "HOT-53",
- "HOT-54",
- "HOT-55",
- "HOT-56",
- "HOT-57",
- "HOT-58",
- "HOT-59",
- "HOT-6",
- "HOT-60",
- "HOT-61",
- "HOT-62",
- "HOT-63",
- "HOT-64",
- "HOT-65",
- "HOT-66",
- "HOT-67",
- "HOT-68",
- "HOT-69",
- "HOT-7",
- "HOT-70",
- "HOT-71",
- "HOT-72",
- "HOT-73",
- "HOT-74",
- "HOT-75",
- "HOT-76",
- "HOT-77",
- "HOT-78",
- "HOT-79",
- "HOT-8",
- "HOT-80",
- "HOT-81",
- "HOT-82",
- "HOT-83",
- "HOT-84",
- "HOT-85",
- "HOT-86",
- "HOT-87",
- "HOT-88",
- "HOT-89",
- "HOT-9",
- "HOT-90",
- "HOT-91",
- "HOT-92",
- "HOT-93",
- "HOT-94",
- "HOT-95",
- "HOT-96",
- "HOT-97",
- "HOT-98",
- "HOT-99",
- "CLIVAR > Climate Variability",
- "HOT > Hawaiian Ocean Time Series Project",
- "JGOFS > Joint Global Ocean Flux Study, IGBP",
- "WCRP > World Climate Research Program",
- "WOCE > World Ocean Circulation Experiment",
- "Woods Hole HOT (WHOTS)",
- "Woods Hole Hawaii Ocean Time Series (WHOTS)",
- "HA-1",
- "HA-2",
- "HA-3",
- "ALOHA-Climax",
- "Hawaii Air-sea Logging Experiment, A Long-term Oligotrophic Habitat Assessment (HALE-ALOHA)",
- "Hawaii Ocean Time-series (HOTS)",
- "Joint Global Ocean Flux Study (JGOFS)",
- "World Ocean Circulation Experiment (WOCE)",
- "EARTH SCIENCE > AGRICULTURE > ANIMAL SCIENCE > ANIMAL PHYSIOLOGY AND BIOCHEMISTRY",
- "EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC PRESSURE",
- "EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC RADIATION > INCOMING SOLAR RADIATION",
- "EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE",
- "EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > SURFACE TEMPERATURE > AIR TEMPERATURE",
- "EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > SURFACE TEMPERATURE > DEW POINT TEMPERATURE",
- "EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > SURFACE WINDS > WIND DIRECTION",
- "EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > SURFACE WINDS > WIND SPEED",
- "EARTH SCIENCE > ATMOSPHERE > CLOUDS > CLOUD PROPERTIES > CLOUD FREQUENCY",
- "EARTH SCIENCE > ATMOSPHERE > CLOUDS > CLOUD TYPES",
- "EARTH SCIENCE > BIOLOGICAL CLASSIFICATION",
- "EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > BACTERIA/ARCHAEA",
- "EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > BACTERIA/ARCHAEA > CYANOBACTERIA (BLUE-GREEN ALGAE)",
- "EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > PROTISTS > PLANKTON > PHYTOPLANKTON",
- "EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS > ECOSYSTEM FUNCTIONS > PRIMARY PRODUCTION",
- "EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > AQUATIC ECOSYSTEMS > PLANKTON > ZOOPLANKTON",
- "EARTH SCIENCE > CLIMATE INDICATORS > ATMOSPHERIC/OCEAN INDICATORS > SURFACE SALINITY",
- "EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > WATER DEPTH",
- "EARTH SCIENCE > OCEANS > OCEAN ACOUSTICS > ACOUSTIC VELOCITY",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > ALKALINITY",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > AMMONIA",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CARBON",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CARBON DIOXIDE",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CHLOROPHYLL",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > HYDROCARBONS",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > INORGANIC CARBON",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > NITRATE",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > NITRITE",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > NITROGEN",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > NUTRIENTS",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > ORGANIC CARBON",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > OXYGEN",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > PH",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > PHOSPHATE",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > PIGMENTS",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > PIGMENTS > CHLOROPHYLL",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > SILICATE",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > SUSPENDED SOLIDS",
- "EARTH SCIENCE > OCEANS > OCEAN CIRCULATION > OCEAN CURRENTS",
- "EARTH SCIENCE > OCEANS > OCEAN OPTICS",
- "EARTH SCIENCE > OCEANS > OCEAN OPTICS > ATTENUATION/TRANSMISSION",
- "EARTH SCIENCE > OCEANS > OCEAN OPTICS > FLUORESCENCE",
- "EARTH SCIENCE > OCEANS > OCEAN OPTICS > IRRADIANCE",
- "EARTH SCIENCE > OCEANS > OCEAN OPTICS > OCEAN COLOR",
- "EARTH SCIENCE > OCEANS > OCEAN OPTICS > PHOTOSYNTHETICALLY ACTIVE RADIATION",
- "EARTH SCIENCE > OCEANS > OCEAN OPTICS > SECCHI DEPTH",
- "EARTH SCIENCE > OCEANS > OCEAN OPTICS > TURBIDITY",
- "EARTH SCIENCE > OCEANS > OCEAN PRESSURE > WATER PRESSURE",
- "EARTH SCIENCE > OCEANS > OCEAN TEMPERATURE > POTENTIAL TEMPERATURE",
- "EARTH SCIENCE > OCEANS > OCEAN TEMPERATURE > SEA SURFACE TEMPERATURE",
- "EARTH SCIENCE > OCEANS > OCEAN TEMPERATURE > WATER TEMPERATURE",
- "EARTH SCIENCE > OCEANS > OCEAN WAVES",
- "EARTH SCIENCE > OCEANS > OCEAN WAVES > SEA STATE",
- "EARTH SCIENCE > OCEANS > OCEAN WAVES > WAVE HEIGHT",
- "EARTH SCIENCE > OCEANS > OCEAN WAVES > WAVE PERIOD",
- "EARTH SCIENCE > OCEANS > SALINITY/DENSITY > CONDUCTIVITY",
- "EARTH SCIENCE > OCEANS > SALINITY/DENSITY > DENSITY",
- "EARTH SCIENCE > OCEANS > SALINITY/DENSITY > SALINITY",
- "EARTH SCIENCE > OCEANS > TIDES",
- "EARTH SCIENCE > OCEANS > TIDES > TIDAL HEIGHT",
- "CTD",
- "Chlorophyll, Pigment (uG/L)",
- "Nitrate (uMOL/KG)",
- "Oxygen (micromoles per kilogram)",
- "Pressure (Decibars)",
- "Salinity (1978 International Practical Salinity Scale)",
- "Temperature (Degrees Celsius, International Temperature Scale of 1990)",
- "hydrographic data",
- "profile data",
- "Adenosine 5'-Triphosphate (ATP) (ng/kg)",
- "Alkalinity (ueq/kg)",
- "Biogeochemical Rate Measurements",
- "Bottle Oxygen (umol/kg)",
- "Bottle Salinity (PSS-78)",
- "CTD",
- "CTD Oxygen (UMOL/KG)",
- "CTD Pressure (Decibars)",
- "CTD Salinity (PSS-78)",
- "CTD Salinity (PSU-78)",
- "CTD Temperature (ITS-90)",
- "Carbon (mg/m2/d)",
- "Carbon Assimilation",
- "Chlorophyll a. Mean (mg/m3)",
- "Chlorophyll and pigment",
- "Chlorophylll, Pigment (uG/L)",
- "Chlroropyll a. Standard Deviation (mg/m3)",
- "Dark - replicate 1 (mg C/m3)",
- "Dark - replicate 2 (mg C/m3)",
- "Dark - replicate 3 (mg C/m3)",
- "Delta-13C of PC (permil vs. VPDB)",
- "Delta-15N of PN (permil vs. air-N2)",
- "Dissolved Inorganic Carbon (DIC) (umol/kg)",
- "Dissolved Organic Carbon (DOC) (umol/kg)",
- "Dissolved Organic Nitrate (DON) (umol/kg)",
- "Dissolved Organic Phosphate (DOP) (umol/kg)",
- "Eukaryotes (E.bact) (10**5/ml)",
- "Eukaryotes (no./ml)",
- "Fluorometric Chlorophyll a (Chl a.) (ug/l)",
- "Guanosine 5'-Triphosphate (GTP) (ng/kg)",
- "HPLC 19'-Butanoyloxyfucoxanthin (19 But) (ng/l)",
- "HPLC 19'-Hexanoyloxyfucoxanthin (19 Hex) (ng/l)",
- "HPLC Alpha Carotens (A.Car) (ng/l)",
- "HPLC Beta Carotens (B.Car) (ng/l)",
- "HPLC Carotens (caroten) (ng/l)",
- "HPLC Chlorophyll [c1+c2] & Mg 3, 8 DVP4A5 (Chl c1+2) (ng/l)",
- "HPLC Chlorophyll c1 + c2 + c3 (Chl+) (ng/l)",
- "HPLC Chlorophyll c3 (Chl c3) (ng/l)",
- "HPLC Chlorophyllide a (Chlda a) (ng/l)",
- "HPLC Chloropyll b (Chl b) (ng/l)",
- "HPLC Chloropyll c4 (Chl c4) (ng/l)",
- "HPLC Diadinoxanthin (Diadino) (ng/l)",
- "HPLC Divinyl Chlorophyll a (DV.Chla) (ng/l)",
- "HPLC Fucoxanthin (Fuco) (ng/l)",
- "HPLC Lutein (Lutein) (ng/l)",
- "HPLC Monovinyl Chlorophyll a (MV.Chla) (ng/l)",
- "HPLC Peridinin (Peridino) (ng/l)",
- "HPLC Prasinoxanthin (Prasino) (ng/l)",
- "HPLC Violaxanthin (Viol) (ng/l)",
- "HPLC Zeaxanthin (Zeaxan) (ng/l)",
- "HPLC chlorophyll a. (HPLCchl) (ng/l)",
- "Heterotrophic Bacteria (H.Bact) (10**5/ml)",
- "Heterotrophic Bacteria (no./ml)",
- "Hydrogen Peroxide (H2O2) (umol/kg)",
- "International Temperature Scale of 1990)",
- "Light - replicate 1 (mg C/m3)",
- "Light - replicate 2 (mg C/m3)",
- "Light - replicate 3 (mg C/m3)",
- "Low-level Nitrate (LLN) (nmol/kg)",
- "Low-level Phosphate (LLP) (nmol/kg)",
- "Low-level Silica (LLSi) (umol/kg)",
- "Mass (mg/m2/d)",
- "NO2 (NMOL/KG)",
- "Niskin Bottles",
- "Nitrate (uMOL/KG)",
- "Nitrate + Nitrite (NO2+NO3) (umol/kg)",
- "Nitrogen (mg/m2/d)",
- "Nitrous Oxide (N2O) (umol/kg)",
- "Oxygen (micromoles per kilogram)",
- "P13c (permil)",
- "P15N (permil)",
- "PE .4u (NG/L)",
- "PE 10u (NG/L)",
- "PE 5u (NG/L)",
- "PIC (UMOL/KG)",
- "Partial Pressure of Carbon Dioxide (pCO2) (uatm)",
- "Particulate Carbon (PC) (umol/kg)",
- "Particulate Inorganic Carbon (mg/m2/d)",
- "Particulate Nitrogen (PN) (umol/kg)",
- "Particulate Phosphate (PP) (nmol/kg)",
- "Pheopigments (Pheo) (ug/l)",
- "Pheopigments Mean (mg/m3)",
- "Pheopigments Standard Deviation (mg/m3)",
- "Phosphate (PO4) (umol/kg)",
- "Phosphorus (mg/m2/d)",
- "Potential Density (kg/m3)",
- "Potential Temperature (ITC-90)",
- "Pressure (Decibars)",
- "Primary Production Parameters:",
- "Prochlorococcus (P.Bact) (10**5/ml)",
- "Prochlorococcus (no./ml)",
- "Psi (NMOL/KG)",
- "SPEC.SI (UMOL/KG)",
- "Salinity (1978 International Practical Salinity Scale)",
- "Salinity (PSS-78)",
- "Sediment Trap Flux Parameters:",
- "Silica (mg/m2/d)",
- "Silicate (SiO4) (umol/kg)",
- "Synechococcus (S.Bact) (10**5/ml)",
- "Synechococcus (no./ml)",
- "TD700A (UG/L)",
- "TD700B (UG/L)",
- "TD700C (UG/L)",
- "Temperature (Degrees Celsius",
- "Temperature (Degrees Celsius)",
- "Temperature (ITC-90)",
- "Total Dissolved Nitrogen (TDN) (umol/kg)",
- "Total Dissolved Phosphorus (TDP) (umol/kg)",
- "Transmission",
- "bacterioplankton",
- "biogeochemical data",
- "butanoyloxyfucoxanthin",
- "hydrographic data",
- "oxygen",
- "pH (TOT25, either sws25 or nbs25)",
- "peridinin",
- "physical data",
- "physical oceanographic data",
- "prasinoxanthin",
- "profile data",
- "salinity",
- "surface measurements",
- "temperature",
- "temperature and salinity profile",
- "temperature and salinity time series",
- "thermosalinograph",
- "thermosalinograph data",
- "underway data",
- "water chemistry profile",
- "water column chemical data",
- "zeaxan",
- "CTD > Conductivity, Temperature, Depth",
- "FLUOROMETERS > FLUOROMETERS",
- "GRAB SAMPLERS",
- "IES > Inverted Echo Sounders",
- "INCUBATOR",
- "OPTSPEC > Optical Spectrometer",
- "OXYGEN METERS > OXYGEN METERS",
- "RADIOMETERS",
- "SALINOMETERS",
- "SECCHI DISKS > SECCHI DISKS",
- "SEDIMENT CORERS > SEDIMENT CORERS",
- "THERMISTORS > THERMISTORS",
- "THERMOSALINOGRAPHS",
- "TRANSMISSOMETERS",
- "TRAPS > TRAPS",
- "XBT > Expendable Bathythermographs",
- "Conductivity-Temperature-Depth (CTD)",
- "Gas Tension Device (GTD)",
- "FIXED OBSERVATION STATIONS > FIXED OBSERVATION STATIONS",
- "Ships",
- "ALPHA HELIX (call sign: WSD7078, ICES code: 31HX, 1966-)",
- "CROMWELL (ICES code: 31WM)",
- "Hi'ialakai (call sign: WTEY, ICES code: 33HL, 2004-)",
- "KA'IMIKAI-O-KANALOA (call sign: WBN4310, ICES code: 33KI, 1995-)",
- "KAHO (ICES code: 31KA)",
- "KAIMALINO (ICES code: 33KA)",
- "KILA (ICES code: 33KL)",
- "KLAMATH (ICES code: 31KL)",
- "KNORR (call sign: KCEJ, ICES code: 316N, 1970-)",
- "Kilo Moana (call sign: WDA7827, ICES code: 33KB, 2002-)",
- "MARINE VIEW (ICES code: 31MW)",
- "MAURICE EWING (call sign: WLDZ, ICES code: 3230, 1988-2005)",
- "MELVILLE (call sign: WECB, ICES code: 318M, 1969-)",
- "MOANA WAVE (call sign: WUS9293, ICES code: 32MW, 1974-2011)",
- "NA'INA (ICES code: 33NA)",
- "NESHANIC (ICES code: 32NH)",
- "NEW HORIZON (call sign: WKWB, ICES code: 32NM, 1978-2015)",
- "OCEANUS (call sign: WXAQ, ICES code: 32OC, 1976-)",
- "OSCAR ELTON SETTE (call sign: WTEE, ICES code: 33OC, 2003-)",
- "ROGER REVELLE (call sign: KAOU, ICES code: 33RR, 1996-)",
- "Sikuliaq (call sign: WDN7246, ICES code: 33BI, 2013-)",
- "THOMAS G. THOMPSON (call sign: KTDQ, ICES code: 3250, 1991-)",
- "TOWNSEND CROMWELL (ICES code: 31TC)",
- "WECOMA (call sign: WSD7079, ICES code: 32WC, 1976-)",
- "WESTWIND (call sign: NLKL, ICES code: 31WE, 1952-1988)",
- "HALE-ALOHA Mooring",
- "OCEAN > PACIFIC OCEAN > CENTRAL PACIFIC OCEAN > HAWAIIAN ISLANDS",
- "OCEAN > PACIFIC OCEAN > NORTH PACIFIC OCEAN",
- "HALE ALOHA",
- "Hawaii",
- "Hawaii Ocean Time Series (HOT)",
- "Kaena Point",
- "Kahe Point",
- "Oahu",
- "Pacific",
- "Station Aloha",
- "central north Pacific",
- "HALE ALOHA",
- "Hawaii",
- "Hawaii Ocean Time Series (HOT)",
- "Kaena Point",
- "Kahe Point",
- "Oahu",
- "Pacific",
- "Station Aloha",
- "central north Pacific",
- "complete ocean profile surface to bottom"
- ],
- "last_harvested_date": "2026-09-27T00:13:25.250699",
- "organization": {
- "aliases": [
- ""
- ],
- "code_repo_exempt": false,
- "code_repo_url": null,
- "description": null,
- "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": 9,
- "publisher": "NOAA National Centers for Environmental Information",
- "slug": "physical-and-biochemical-oceanographic-data-from-the-hawaii-ocean-time-series-hot-pro-1988",
- "spatial_centroid": {
- "lat": 22.3952,
- "lon": 2.3409999999999966
- },
- "spatial_shape": {
- "coordinates": [
- [
- [
- [
- -157.324,
- 20.716
- ],
- [
- -157.324,
- 24.914
- ],
- [
- -180.0,
- 24.914
- ],
- [
- -180.0,
- 20.716
- ],
- [
- -157.324,
- 20.716
- ]
- ]
- ],
- [
- [
- [
- 180.0,
- 20.716
- ],
- [
- 180.0,
- 24.914
- ],
- [
- 157.691,
- 24.914
- ],
- [
- 157.691,
- 20.716
- ],
- [
- 180.0,
- 20.716
- ]
- ]
- ]
- ],
- "type": "MultiPolygon"
- },
- "theme": [
- "geospatial"
- ],
- "title": "Physical and biochemical oceanographic data from the Hawaii Ocean Time-series (HOT) program collected by University of Hawaii at Station ALOHA in the Pacific Ocean 100 miles north of Oahu, Hawaii, since 1988",
- "type": "dataset"
- },
- {
- "_score": 12.266397,
- "_sort": [
- 1790468001719,
- 12.266397,
- 2,
- "347aef58-d112-4c6e-8ad8-ba08a2124e51"
- ],
- "dcat": {
- "@type": "dcat:Dataset",
- "accessLevel": "non-public",
- "contactPoint": {
- "@type": "vcard:Contact",
- "fn": "NOAA National Centers for Environmental Information",
- "hasEmail": "mailto:ncei.info@noaa.gov"
- },
- "describedByType": "application/octet-stream",
- "description": "Nutrient and pigment (chlorophyll) data received by NODC's Ocean Climate Laboratory. These data were collected as part of the Scripps TASADAY expedition in the Pacific and Indian Oceans during 1973-1974. Leg I of the TASADAY expedition had the dual purpose of investigating temperature and salinity of the water column and studying aspects of the biological energy flow, nutrient cycles, and planktonic standing stocks. The principal study site for Leg I was in the central gyre region of the North Pacific and at the western edge of the California current. Leg II of the TASADAY expedition primarily continued the work of Leg I. Leg III TASADAY investigations were designed to provide data on the westward extent of the North Pacific central gyre region. Data were collected on Leg IV during late summer 1973 in the North Pacific.\n\nData parameters include: position, date, wind and wave data, clouds, temperature, salinity, pressure, oxygen, phosphate, silicate, nitrite (NO2), nitrate (NO3), Chlorophyll-a, phaeopigment, and Carbon-14 assimilation rates.",
- "distribution": [
- {
- "@type": "dcat:Distribution",
- "accessURL": "https://www.ncei.noaa.gov/archive/accession/SIO-TASADAY",
- "describedByType": "application/octet-stream",
- "description": "Navigate directly to the URL for a descriptive web page with download links.",
- "mediaType": "text/html",
- "title": "NCEI Dataset Landing Page"
- },
- {
- "@type": "dcat:Distribution",
- "accessURL": "https://data.noaa.gov/onestop/collections/granules/3d886afd-67cf-4e3a-867e-0dc10859e546",
- "describedByType": "application/octet-stream",
- "description": "Browse data granules belonging to this collection (a granule is the smallest aggregation of data that can be independently described and retrieved).",
- "mediaType": "text/html",
- "title": "Browse granules"
- },
- {
- "@type": "dcat:Distribution",
- "accessURL": "https://www.ncei.noaa.gov/metadata/granule/geoportal/?from=0&size=10&esdsl=%7B%22query%22%3A%7B%22bool%22%3A%7B%22must%22%3A%5B%7B%22query_string%22%3A%7B%22analyze_wildcard%22%3Atrue%2C%22query%22%3A%22fileid%3ASIO-TASADAY.*%22%7D%7D%5D%7D%7D%7D#searchPanel",
- "describedByType": "application/octet-stream",
- "description": "Search for data granules belonging to this collection (a granule is the smallest aggregation of data that can be independently described and retrieved).",
- "mediaType": "text/html",
- "title": "Search for granules"
- },
- {
- "@type": "dcat:Distribution",
- "accessURL": "https://discover.library.noaa.gov/permalink/01NOAA_INST/1qbesct/alma991000382899707381",
- "describedByType": "application/octet-stream",
- "description": "NOAA Central Library: 98 p.; ill.; 28 cm",
- "mediaType": "text/html",
- "title": "Tasaday Expedition, Legs I,II,III and IV"
- },
- {
- "@type": "dcat:Distribution",
- "accessURL": "https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords",
- "describedByType": "application/octet-stream",
- "description": "Global Change Master Directory (GCMD). 2025. GCMD Keywords, Version 21. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords",
- "mediaType": "text/html",
- "title": "GCMD Keyword Forum Page"
- },
- {
- "@type": "dcat:Distribution",
- "accessURL": "https://www.ncei.noaa.gov/contact",
- "describedByType": "application/octet-stream",
- "description": "Information for contacts at NCEI.",
- "mediaType": "text/html",
- "title": "NCEI Contact Information"
- },
- {
- "@type": "dcat:Distribution",
- "accessURL": "https://library.noaa.gov/",
- "describedByType": "application/octet-stream",
- "description": "Institution web page",
- "mediaType": "text/html",
- "title": "NOAA Library website"
- }
- ],
- "identifier": "https://data.noaa.gov/waf/NOAA/NESDIS/ncei/accessions/iso/xml/SIO-TASADAY.xml",
- "issued": "1992-01-01T00:00:00.000+00:00",
- "keyword": [
- "9200047",
- "9400052",
- "AIR TEMPERATURE - WET BULB",
- "AMMONIUM (NH4)",
- "BAROMETRIC PRESSURE",
- "CARBON ASSIMILATION",
- "CHLOROPHYLL A",
- "cloud amount/frequency",
- "cloud type",
- "DYNAMIC DEPTH ANOMALY",
- "LIGHT TRANSMISSION",
- "NITRATE",
- "NITRITE",
- "NITROGEN - PARTICULATE",
- "PARTICULATE ORGANIC CARBON",
- "PHAEOPIGMENTS",
- "PHOSPHATE - TOTAL",
- "SALINITY",
- "silicate",
- "UREA",
- "WATER TEMPERATURE",
- "WAVE DIRECTION",
- "WAVE HEIGHT",
- "WAVE PERIOD",
- "WIND DIRECTION",
- "WIND SPEED",
- "bottle",
- "CTD",
- "fluorometer",
- "laboratory analysis",
- "visual analysis",
- "biological",
- "chemical",
- "physical",
- "profile",
- "USNS Thomas Washington",
- "Scripps Institution of Oceanography",
- "Scripps Institution of Oceanography",
- "North Pacific Ocean",
- "Philippine Sea",
- "oceanography",
- "DOC/NOAA/NESDIS/NODC > National Oceanographic Data Center, NESDIS, NOAA, U.S. Department of Commerce",
- "TASADAY IV",
- "TASADAY LEG I",
- "TASADAY LEG II",
- "TASADAY LEG III",
- "EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC PRESSURE",
- "EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > SURFACE TEMPERATURE > AIR TEMPERATURE",
- "EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > SURFACE WINDS > WIND DIRECTION",
- "EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > SURFACE WINDS > WIND SPEED",
- "EARTH SCIENCE > ATMOSPHERE > CLOUDS > CLOUD PROPERTIES > CLOUD FREQUENCY",
- "EARTH SCIENCE > ATMOSPHERE > CLOUDS > CLOUD TYPES",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > AMMONIA",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CARBON",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CHLOROPHYLL",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > NITRATE",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > NITRITE",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > NITROGEN",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > ORGANIC CARBON",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > PHOSPHATE",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > PIGMENTS > CHLOROPHYLL",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > SILICATE",
- "EARTH SCIENCE > OCEANS > OCEAN OPTICS",
- "EARTH SCIENCE > OCEANS > OCEAN TEMPERATURE > WATER TEMPERATURE",
- "EARTH SCIENCE > OCEANS > OCEAN WAVES > WAVE HEIGHT",
- "EARTH SCIENCE > OCEANS > OCEAN WAVES > WAVE PERIOD",
- "EARTH SCIENCE > OCEANS > OCEAN WAVES > WAVE SPEED/DIRECTION",
- "EARTH SCIENCE > OCEANS > SALINITY/DENSITY > SALINITY",
- "CTD > Conductivity, Temperature, Depth",
- "FLUOROMETERS > FLUOROMETERS",
- "THOMAS WASHINGTON (call sign: KGWU, ICES code: 31WT, 1965-1992)",
- "OCEAN > PACIFIC OCEAN > NORTH PACIFIC OCEAN"
- ],
- "landingPage": "https://www.ncei.noaa.gov/contact",
- "language": [],
- "license": "https://creativecommons.org/publicdomain/zero/1.0/",
- "modified": "2024-10-16T00:00:00.000+00:00",
- "publisher": {
- "@type": "org:Organization",
- "name": "NOAA National Centers for Environmental Information"
- },
- "references": [
- "https://discover.library.noaa.gov/permalink/01NOAA_INST/1qbesct/alma991000382899707381"
- ],
- "rights": "otherRestrictions",
- "spatial": "-117.41,27.28,138.0,34.63",
- "temporal": "1973-06-05T00:00:00+00:00/1973-09-06T00:00:00+00:00",
- "theme": [
- "geospatial"
- ],
- "title": "Physical, chemical, and biological data from the THOMAS WASHINGTON on the TASADAY Expedition, Legs I, II, III, and IV, in the Pacific and Indian Oceans from 1973-06-05 to 1973-09-06"
- },
- "description": "Nutrient and pigment (chlorophyll) data received by NODC's Ocean Climate Laboratory. These data were collected as part of the Scripps TASADAY expedition in the Pacific and Indian Oceans during 1973-1974. Leg I of the TASADAY expedition had the dual purpose of investigating temperature and salinity of the water column and studying aspects of the biological energy flow, nutrient cycles, and planktonic standing stocks. The principal study site for Leg I was in the central gyre region of the North Pacific and at the western edge of the California current. Leg II of the TASADAY expedition primarily continued the work of Leg I. Leg III TASADAY investigations were designed to provide data on the westward extent of the North Pacific central gyre region. Data were collected on Leg IV during late summer 1973 in the North Pacific.\n\nData parameters include: position, date, wind and wave data, clouds, temperature, salinity, pressure, oxygen, phosphate, silicate, nitrite (NO2), nitrate (NO3), Chlorophyll-a, phaeopigment, and Carbon-14 assimilation rates.",
- "distribution_titles": [
- "NCEI Dataset Landing Page",
- "Browse granules",
- "Search for granules",
- "Tasaday Expedition, Legs I,II,III and IV",
- "GCMD Keyword Forum Page",
- "NCEI Contact Information",
- "NOAA Library website"
- ],
- "harvest_record": "https://catalog.data.gov/harvest_record/4dff0eda-4427-49be-aef3-29fefc275c6f",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/4dff0eda-4427-49be-aef3-29fefc275c6f/raw",
- "harvest_record_transformed": "https://catalog.data.gov/harvest_record/4dff0eda-4427-49be-aef3-29fefc275c6f/transformed",
- "has_download": false,
- "has_spatial": true,
- "identifier": "https://data.noaa.gov/waf/NOAA/NESDIS/ncei/accessions/iso/xml/SIO-TASADAY.xml",
- "keyword": [
- "9200047",
- "9400052",
- "AIR TEMPERATURE - WET BULB",
- "AMMONIUM (NH4)",
- "BAROMETRIC PRESSURE",
- "CARBON ASSIMILATION",
- "CHLOROPHYLL A",
- "cloud amount/frequency",
- "cloud type",
- "DYNAMIC DEPTH ANOMALY",
- "LIGHT TRANSMISSION",
- "NITRATE",
- "NITRITE",
- "NITROGEN - PARTICULATE",
- "PARTICULATE ORGANIC CARBON",
- "PHAEOPIGMENTS",
- "PHOSPHATE - TOTAL",
- "SALINITY",
- "silicate",
- "UREA",
- "WATER TEMPERATURE",
- "WAVE DIRECTION",
- "WAVE HEIGHT",
- "WAVE PERIOD",
- "WIND DIRECTION",
- "WIND SPEED",
- "bottle",
- "CTD",
- "fluorometer",
- "laboratory analysis",
- "visual analysis",
- "biological",
- "chemical",
- "physical",
- "profile",
- "USNS Thomas Washington",
- "Scripps Institution of Oceanography",
- "Scripps Institution of Oceanography",
- "North Pacific Ocean",
- "Philippine Sea",
- "oceanography",
- "DOC/NOAA/NESDIS/NODC > National Oceanographic Data Center, NESDIS, NOAA, U.S. Department of Commerce",
- "TASADAY IV",
- "TASADAY LEG I",
- "TASADAY LEG II",
- "TASADAY LEG III",
- "EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC PRESSURE",
- "EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > SURFACE TEMPERATURE > AIR TEMPERATURE",
- "EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > SURFACE WINDS > WIND DIRECTION",
- "EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > SURFACE WINDS > WIND SPEED",
- "EARTH SCIENCE > ATMOSPHERE > CLOUDS > CLOUD PROPERTIES > CLOUD FREQUENCY",
- "EARTH SCIENCE > ATMOSPHERE > CLOUDS > CLOUD TYPES",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > AMMONIA",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CARBON",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CHLOROPHYLL",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > NITRATE",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > NITRITE",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > NITROGEN",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > ORGANIC CARBON",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > PHOSPHATE",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > PIGMENTS > CHLOROPHYLL",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > SILICATE",
- "EARTH SCIENCE > OCEANS > OCEAN OPTICS",
- "EARTH SCIENCE > OCEANS > OCEAN TEMPERATURE > WATER TEMPERATURE",
- "EARTH SCIENCE > OCEANS > OCEAN WAVES > WAVE HEIGHT",
- "EARTH SCIENCE > OCEANS > OCEAN WAVES > WAVE PERIOD",
- "EARTH SCIENCE > OCEANS > OCEAN WAVES > WAVE SPEED/DIRECTION",
- "EARTH SCIENCE > OCEANS > SALINITY/DENSITY > SALINITY",
- "CTD > Conductivity, Temperature, Depth",
- "FLUOROMETERS > FLUOROMETERS",
- "THOMAS WASHINGTON (call sign: KGWU, ICES code: 31WT, 1965-1992)",
- "OCEAN > PACIFIC OCEAN > NORTH PACIFIC OCEAN"
- ],
- "last_harvested_date": "2026-09-27T00:13:21.719044",
- "organization": {
- "aliases": [
- ""
- ],
- "code_repo_exempt": false,
- "code_repo_url": null,
- "description": null,
- "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": 2,
- "publisher": "NOAA National Centers for Environmental Information",
- "slug": "physical-chemical-and-biological-data-from-the-thomas-washington-on-the-tasaday-expe-09-06",
- "spatial_centroid": {
- "lat": 30.220000000000006,
- "lon": 10.377
- },
- "spatial_shape": {
- "coordinates": [
- [
- [
- [
- -117.41,
- 27.28
- ],
- [
- -117.41,
- 34.63
- ],
- [
- -180.0,
- 34.63
- ],
- [
- -180.0,
- 27.28
- ],
- [
- -117.41,
- 27.28
- ]
- ]
- ],
- [
- [
- [
- 180.0,
- 27.28
- ],
- [
- 180.0,
- 34.63
- ],
- [
- 138.0,
- 34.63
- ],
- [
- 138.0,
- 27.28
- ],
- [
- 180.0,
- 27.28
- ]
- ]
- ]
- ],
- "type": "MultiPolygon"
- },
- "theme": [
- "geospatial"
- ],
- "title": "Physical, chemical, and biological data from the THOMAS WASHINGTON on the TASADAY Expedition, Legs I, II, III, and IV, in the Pacific and Indian Oceans from 1973-06-05 to 1973-09-06",
- "type": "dataset"
- },
- {
- "_score": 11.570857,
- "_sort": [
- 1790467993828,
- 11.570857,
+ 1790470840840,
+ 19.360308,
  1,
- "8e91cb78-fbdb-4eb3-85b7-dd3cc8348e81"
- ],
- "dcat": {
- "@type": "dcat:Dataset",
- "accessLevel": "non-public",
- "contactPoint": {
- "@type": "vcard:Contact",
- "fn": "NOAA National Centers for Environmental Information",
- "hasEmail": "mailto:ncei.info@noaa.gov"
- },
- "describedByType": "application/octet-stream",
- "description": "This dataset contains near-real time data from the Saildrone core MetOcean sensors for the Pacific Marine Environmental Laboratory (PMEL) Tropical Pacific Observing System (TPOS) 2019 Mission ('Mission 3') to the central equatorial Pacific (0, 140W) for Saildrones SD1066, SD1067, SD1068 and SD1069. These data have not been Quality Control (QC)'d. This was the third of three missions funded by NOAA Office of Oceanic and Atmospheric Research (OAR) Climate Program Office (CPO) Ocean Observing and Monitoring Division (OOMD) and NOAA Office of Marine and Aviation Operations (OMAO) as a pilot study for the Tropical Pacific Observing System (TPOS)-2020 project. All of the Saildrones were standard Gen 5 drones (but with copper paint), with standard wings, not the large wings used in Mission 2. All had an Acoustic Doppler Current Profiler (ADCP) (not included in this dataset) and the core MetOcean package. The core CTDs were an RBR in the flowthrough tunnel in the keel and a pumped SBE37 at the outflow of the flowthrough tunnel. Carbon system data (including its prawler Conductivity, Temperature, Depth (CTD) data) are served through a separate dataset.",
- "distribution": [
- {
- "@type": "dcat:Distribution",
- "accessURL": "https://www.ncei.noaa.gov/archive/accession/PMEL-TPOS_Saildrone_2019",
- "describedByType": "application/octet-stream",
- "description": "Navigate directly to the URL for a descriptive web page with download links.",
- "mediaType": "text/html",
- "title": "NCEI Dataset Landing Page"
- },
- {
- "@type": "dcat:Distribution",
- "accessURL": "https://data.noaa.gov/onestop/collections/granules/dfbcb782-a583-439f-9011-d5a620336588",
- "describedByType": "application/octet-stream",
- "description": "Browse data granules belonging to this collection (a granule is the smallest aggregation of data that can be independently described and retrieved).",
- "mediaType": "text/html",
- "title": "Browse granules"
- },
- {
- "@type": "dcat:Distribution",
- "accessURL": "https://www.ncei.noaa.gov/metadata/granule/geoportal/?from=0&size=10&esdsl=%7B%22query%22%3A%7B%22bool%22%3A%7B%22must%22%3A%5B%7B%22query_string%22%3A%7B%22analyze_wildcard%22%3Atrue%2C%22query%22%3A%22fileid%3APMEL-TPOS_Saildrone_2019.*%22%7D%7D%5D%7D%7D%7D#searchPanel",
- "describedByType": "application/octet-stream",
- "description": "Search for data granules belonging to this collection (a granule is the smallest aggregation of data that can be independently described and retrieved).",
- "mediaType": "text/html",
- "title": "Search for granules"
- },
- {
- "@type": "dcat:Distribution",
- "describedByType": "application/octet-stream",
- "description": "related journal article",
- "downloadURL": "https://doi.org/10.5670/oceanog.2019.220",
- "mediaType": "placeholder/value",
- "title": "https://doi.org/10.5670/oceanog.2019.220"
- },
- {
- "@type": "dcat:Distribution",
- "accessURL": "https://www.pmel.noaa.gov/ocs/saildrone/data-access",
- "describedByType": "application/octet-stream",
- "description": "online data access",
- "mediaType": "text/html",
- "title": "https://www.pmel.noaa.gov/ocs/saildrone/data-access"
- },
- {
- "@type": "dcat:Distribution",
- "accessURL": "https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords",
- "describedByType": "application/octet-stream",
- "description": "Global Change Master Directory (GCMD). 2025. GCMD Keywords, Version 21. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords",
- "mediaType": "text/html",
- "title": "GCMD Keyword Forum Page"
- },
- {
- "@type": "dcat:Distribution",
- "accessURL": "https://www.ncei.noaa.gov/contact",
- "describedByType": "application/octet-stream",
- "description": "Information for contacts at NCEI.",
- "mediaType": "text/html",
- "title": "NCEI Contact Information"
- }
- ],
- "identifier": "https://data.noaa.gov/waf/NOAA/NESDIS/ncei/accessions/iso/xml/PMEL-TPOS_Saildrone_2019.xml",
- "issued": "2025-03-10T00:00:00.000+00:00",
- "keyword": [
- "0302394",
- "0302395",
- "0302396",
- "0302397",
- "AIR TEMPERATURE",
- "BAROMETRIC PRESSURE",
- "CHLOROPHYLL A CONCENTRATION",
- "CONDUCTIVITY",
- "course over ground",
- "DISSOLVED OXYGEN",
- "LATITUDE",
- "LONGITUDE",
- "LONGWAVE IRRADIANCE",
- "OXYGEN - PERCENT SATURATION",
- "PHOTOSYNTHETIC ACTIVE RADIATION (PAR)",
- "RELATIVE HUMIDITY",
- "SALINITY",
- "SHORTWAVE IRRADIANCE",
- "speed over ground",
- "WATER TEMPERATURE",
- "WAVE HEIGHT - SIGNIFICANT",
- "WAVE PERIOD - DOMINANT",
- "WIND DIRECTION",
- "WIND GUST",
- "WIND SPEED",
- "Wind speed - east-west component (U)",
- "Wind speed - north-south component (V)",
- "anemometer",
- "barometer",
- "clock",
- "CTD",
- "fluorometer",
- "GPSP",
- "humidity sensor",
- "oxygen sensor",
- "PAR Sensor",
- "radiometer",
- "thermometer",
- "in situ",
- "NOAA Pacific Marine Environmental Laboratory",
- "NOAA National Centers for Environmental Information",
- "TROPICAL PACIFIC (TROPAC)",
- "Equatorial Pacific Ocean",
- "oceanography",
- "DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce",
- "DOC/NOAA/OAR/PMEL > Pacific Marine Environmental Laboratory, OAR, NOAA, U.S. Department of Commerce",
- "TPOS-2020 Saildrone Pilot Study",
- "EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC PRESSURE",
- "EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE",
- "EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WATER VAPOR > WATER VAPOR INDICATORS > HUMIDITY > RELATIVE HUMIDITY",
- "EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > SURFACE WINDS",
- "EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > SURFACE WINDS > U/V WIND COMPONENTS",
- "EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > SURFACE WINDS > WIND DIRECTION",
- "EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > SURFACE WINDS > WIND SPEED",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CHLOROPHYLL",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > OXYGEN",
- "EARTH SCIENCE > OCEANS > OCEAN OPTICS > IRRADIANCE",
- "EARTH SCIENCE > OCEANS > OCEAN OPTICS > PHOTOSYNTHETICALLY ACTIVE RADIATION",
- "EARTH SCIENCE > OCEANS > OCEAN TEMPERATURE > WATER TEMPERATURE",
- "EARTH SCIENCE > OCEANS > OCEAN WAVES > SIGNIFICANT WAVE HEIGHT",
- "EARTH SCIENCE > OCEANS > OCEAN WAVES > WAVE PERIOD",
- "EARTH SCIENCE > OCEANS > SALINITY/DENSITY > CONDUCTIVITY",
- "EARTH SCIENCE > OCEANS > SALINITY/DENSITY > SALINITY",
- "AIR TEMPERATURE - MEAN",
- "AIR TEMPERATURE - SD",
- "BAROMETRIC PRESSURE - MEAN",
- "BAROMETRIC PRESSURE - SD",
- "CHLOROPHYLL Concentration - MEAN (Calculated)",
- "CHLOROPHYLL Concentration - SD",
- "CONDUCTIVITY - Mean",
- "CONDUCTIVITY -SD",
- "Chlorophyll concentration - MEAN",
- "Distance 1066_1067",
- "Distance 1066_1068",
- "Distance 1066_1069",
- "Distance 1067_1068",
- "Distance 1067_1069",
- "Distance 1068_1069",
- "Downward Wind Velocity - MEAN",
- "Downward Wind Velocity - SD",
- "Heading",
- "Heading - Wing",
- "Longwave downwelling radation - MEAN",
- "Longwave downwelling radiation - SD",
- "OXYGEN - PERCENT SATURATION - MEAN",
- "OXYGEN - PERCENT SATURATION - SD",
- "Oxygen Concentration - MEAN",
- "Oxygen Concentration - SD",
- "PHOTOSYNTHETIC ACTIVE RADIATION (PAR) - MEAN",
- "PHOTOSYNTHETIC ACTIVE RADIATION (PAR) - SD",
- "Pitch",
- "RELATIVE HUMIDITY - MEAN",
- "RELATIVE HUMIDITY - SD",
- "Roll",
- "SALINITY - MEAN",
- "SALINITY - SD",
- "SEA SURFACE TEMPERATURE SD",
- "Shortwave Difffuse Radiation - SD",
- "Shortwave Diffuse Radiation - MEAN",
- "Shortwave Diffuse Radiation - SD",
- "Shortwave Total Radiation - MEAN",
- "Shortwave Total Radiation - SD",
- "Skin Temperature - MEAN",
- "Skin Temperature - SD",
- "Time",
- "WATER TEMPERATURE - MEAN",
- "WATER TEMPERATURE - SD",
- "WIND GUST - MEAN",
- "WIND GUST - SD",
- "Wind Measurement Height - MEAN",
- "Wind Measurement Height - SD (Calculated)",
- "Wind speed - east-west component (U) - MEAN",
- "Wind speed - east-west component (U) - SD",
- "Wind speed - north-south component (V) - MEAN",
- "Wind speed - north-south component (V) - SD",
- "Wing Angle",
- "ANEMOMETERS > ANEMOMETERS",
- "BAROMETERS > BAROMETERS",
- "CLOCKS",
- "CTD > Conductivity, Temperature, Depth",
- "FLUOROMETERS > FLUOROMETERS",
- "GPSP > Global Positioning System Payload",
- "HUMIDITY SENSORS > HUMIDITY SENSORS",
- "OXYGEN METERS > OXYGEN METERS",
- "PAR SENSORS > Photosynthetically Active Radiation Sensors",
- "RADIOMETERS",
- "THERMOMETERS > THERMOMETERS",
- "AT/RH",
- "CTD/ODO/Chl-A",
- "IMU",
- "IR Thermometer",
- "Inertial Navigation System",
- "Longwave radiometer",
- "Onboard Computer",
- "SW Shaded Radiometer",
- "Sea-Bird Conductivity/Temp/ODO",
- "Shortwave Shaded Radiometer",
- "Saildrone",
- "Saildrone",
- "drone ID 1066",
- "drone ID 1068",
- "drone ID 1069",
- "5801956",
- "5801957",
- "5801958",
- "5801959",
- "Saildrone 1066",
- "Saildrone 1067",
- "Saildrone 1068",
- "Saildrone 1069",
- "autonomous surface water vehicle",
- "5801956",
- "5801958",
- "5801959",
- "OCEAN > PACIFIC OCEAN",
- "6MA1GE",
- "7ER48P",
- "K1M3J9",
- "WPL5WM"
- ],
- "landingPage": "https://www.ncei.noaa.gov/contact",
- "language": [],
- "license": "https://creativecommons.org/publicdomain/zero/1.0/",
- "modified": "2025-04-15T00:00:00.000+00:00",
- "publisher": {
- "@type": "org:Organization",
- "name": "NOAA National Centers for Environmental Information"
- },
- "references": [
- "https://doi.org/10.5670/oceanog.2019.220",
- "https://www.pmel.noaa.gov/ocs/saildrone/data-access"
- ],
- "rights": "otherRestrictions",
- "spatial": "-137.561024,-5.544162,-158.868851,47.0",
- "temporal": "2019-06-08T00:00:00+00:00/2020-01-07T00:00:00+00:00",
- "theme": [
- "geospatial"
- ],
- "title": "2019 NOAA Pacific Marine Environmental Laboratory (PMEL) TPOS Saildrone Mission"
- },
- "description": "This dataset contains near-real time data from the Saildrone core MetOcean sensors for the Pacific Marine Environmental Laboratory (PMEL) Tropical Pacific Observing System (TPOS) 2019 Mission ('Mission 3') to the central equatorial Pacific (0, 140W) for Saildrones SD1066, SD1067, SD1068 and SD1069. These data have not been Quality Control (QC)'d. This was the third of three missions funded by NOAA Office of Oceanic and Atmospheric Research (OAR) Climate Program Office (CPO) Ocean Observing and Monitoring Division (OOMD) and NOAA Office of Marine and Aviation Operations (OMAO) as a pilot study for the Tropical Pacific Observing System (TPOS)-2020 project. All of the Saildrones were standard Gen 5 drones (but with copper paint), with standard wings, not the large wings used in Mission 2. All had an Acoustic Doppler Current Profiler (ADCP) (not included in this dataset) and the core MetOcean package. The core CTDs were an RBR in the flowthrough tunnel in the keel and a pumped SBE37 at the outflow of the flowthrough tunnel. Carbon system data (including its prawler Conductivity, Temperature, Depth (CTD) data) are served through a separate dataset.",
- "distribution_titles": [
- "NCEI Dataset Landing Page",
- "Browse granules",
- "Search for granules",
- "https://doi.org/10.5670/oceanog.2019.220",
- "https://www.pmel.noaa.gov/ocs/saildrone/data-access",
- "GCMD Keyword Forum Page",
- "NCEI Contact Information"
- ],
- "harvest_record": "https://catalog.data.gov/harvest_record/547c1d8e-825b-47d1-a48d-8b8e8907f12b",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/547c1d8e-825b-47d1-a48d-8b8e8907f12b/raw",
- "harvest_record_transformed": "https://catalog.data.gov/harvest_record/547c1d8e-825b-47d1-a48d-8b8e8907f12b/transformed",
- "has_download": true,
- "has_spatial": true,
- "identifier": "https://data.noaa.gov/waf/NOAA/NESDIS/ncei/accessions/iso/xml/PMEL-TPOS_Saildrone_2019.xml",
- "keyword": [
- "0302394",
- "0302395",
- "0302396",
- "0302397",
- "AIR TEMPERATURE",
- "BAROMETRIC PRESSURE",
- "CHLOROPHYLL A CONCENTRATION",
- "CONDUCTIVITY",
- "course over ground",
- "DISSOLVED OXYGEN",
- "LATITUDE",
- "LONGITUDE",
- "LONGWAVE IRRADIANCE",
- "OXYGEN - PERCENT SATURATION",
- "PHOTOSYNTHETIC ACTIVE RADIATION (PAR)",
- "RELATIVE HUMIDITY",
- "SALINITY",
- "SHORTWAVE IRRADIANCE",
- "speed over ground",
- "WATER TEMPERATURE",
- "WAVE HEIGHT - SIGNIFICANT",
- "WAVE PERIOD - DOMINANT",
- "WIND DIRECTION",
- "WIND GUST",
- "WIND SPEED",
- "Wind speed - east-west component (U)",
- "Wind speed - north-south component (V)",
- "anemometer",
- "barometer",
- "clock",
- "CTD",
- "fluorometer",
- "GPSP",
- "humidity sensor",
- "oxygen sensor",
- "PAR Sensor",
- "radiometer",
- "thermometer",
- "in situ",
- "NOAA Pacific Marine Environmental Laboratory",
- "NOAA National Centers for Environmental Information",
- "TROPICAL PACIFIC (TROPAC)",
- "Equatorial Pacific Ocean",
- "oceanography",
- "DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce",
- "DOC/NOAA/OAR/PMEL > Pacific Marine Environmental Laboratory, OAR, NOAA, U.S. Department of Commerce",
- "TPOS-2020 Saildrone Pilot Study",
- "EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC PRESSURE",
- "EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE",
- "EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WATER VAPOR > WATER VAPOR INDICATORS > HUMIDITY > RELATIVE HUMIDITY",
- "EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > SURFACE WINDS",
- "EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > SURFACE WINDS > U/V WIND COMPONENTS",
- "EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > SURFACE WINDS > WIND DIRECTION",
- "EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > SURFACE WINDS > WIND SPEED",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CHLOROPHYLL",
- "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > OXYGEN",
- "EARTH SCIENCE > OCEANS > OCEAN OPTICS > IRRADIANCE",
- "EARTH SCIENCE > OCEANS > OCEAN OPTICS > PHOTOSYNTHETICALLY ACTIVE RADIATION",
- "EARTH SCIENCE > OCEANS > OCEAN TEMPERATURE > WATER TEMPERATURE",
- "EARTH SCIENCE > OCEANS > OCEAN WAVES > SIGNIFICANT WAVE HEIGHT",
- "EARTH SCIENCE > OCEANS > OCEAN WAVES > WAVE PERIOD",
- "EARTH SCIENCE > OCEANS > SALINITY/DENSITY > CONDUCTIVITY",
- "EARTH SCIENCE > OCEANS > SALINITY/DENSITY > SALINITY",
- "AIR TEMPERATURE - MEAN",
- "AIR TEMPERATURE - SD",
- "BAROMETRIC PRESSURE - MEAN",
- "BAROMETRIC PRESSURE - SD",
- "CHLOROPHYLL Concentration - MEAN (Calculated)",
- "CHLOROPHYLL Concentration - SD",
- "CONDUCTIVITY - Mean",
- "CONDUCTIVITY -SD",
- "Chlorophyll concentration - MEAN",
- "Distance 1066_1067",
- "Distance 1066_1068",
- "Distance 1066_1069",
- "Distance 1067_1068",
- "Distance 1067_1069",
- "Distance 1068_1069",
- "Downward Wind Velocity - MEAN",
- "Downward Wind Velocity - SD",
- "Heading",
- "Heading - Wing",
- "Longwave downwelling radation - MEAN",
- "Longwave downwelling radiation - SD",
- "OXYGEN - PERCENT SATURATION - MEAN",
- "OXYGEN - PERCENT SATURATION - SD",
- "Oxygen Concentration - MEAN",
- "Oxygen Concentration - SD",
- "PHOTOSYNTHETIC ACTIVE RADIATION (PAR) - MEAN",
- "PHOTOSYNTHETIC ACTIVE RADIATION (PAR) - SD",
- "Pitch",
- "RELATIVE HUMIDITY - MEAN",
- "RELATIVE HUMIDITY - SD",
- "Roll",
- "SALINITY - MEAN",
- "SALINITY - SD",
- "SEA SURFACE TEMPERATURE SD",
- "Shortwave Difffuse Radiation - SD",
- "Shortwave Diffuse Radiation - MEAN",
- "Shortwave Diffuse Radiation - SD",
- "Shortwave Total Radiation - MEAN",
- "Shortwave Total Radiation - SD",
- "Skin Temperature - MEAN",
- "Skin Temperature - SD",
- "Time",
- "WATER TEMPERATURE - MEAN",
- "WATER TEMPERATURE - SD",
- "WIND GUST - MEAN",
- "WIND GUST - SD",
- "Wind Measurement Height - MEAN",
- "Wind Measurement Height - SD (Calculated)",
- "Wind speed - east-west component (U) - MEAN",
- "Wind speed - east-west component (U) - SD",
- "Wind speed - north-south component (V) - MEAN",
- "Wind speed - north-south component (V) - SD",
- "Wing Angle",
- "ANEMOMETERS > ANEMOMETERS",
- "BAROMETERS > BAROMETERS",
- "CLOCKS",
- "CTD > Conductivity, Temperature, Depth",
- "FLUOROMETERS > FLUOROMETERS",
- "GPSP > Global Positioning System Payload",
- "HUMIDITY SENSORS > HUMIDITY SENSORS",
- "OXYGEN METERS > OXYGEN METERS",
- "PAR SENSORS > Photosynthetically Active Radiation Sensors",
- "RADIOMETERS",
- "THERMOMETERS > THERMOMETERS",
- "AT/RH",
- "CTD/ODO/Chl-A",
- "IMU",
- "IR Thermometer",
- "Inertial Navigation System",
- "Longwave radiometer",
- "Onboard Computer",
- "SW Shaded Radiometer",
- "Sea-Bird Conductivity/Temp/ODO",
- "Shortwave Shaded Radiometer",
- "Saildrone",
- "Saildrone",
- "drone ID 1066",
- "drone ID 1068",
- "drone ID 1069",
- "5801956",
- "5801957",
- "5801958",
- "5801959",
- "Saildrone 1066",
- "Saildrone 1067",
- "Saildrone 1068",
- "Saildrone 1069",
- "autonomous surface water vehicle",
- "5801956",
- "5801958",
- "5801959",
- "OCEAN > PACIFIC OCEAN",
- "6MA1GE",
- "7ER48P",
- "K1M3J9",
- "WPL5WM"
- ],
- "last_harvested_date": "2026-09-27T00:13:13.828874",
- "organization": {
- "aliases": [
- ""
- ],
- "code_repo_exempt": false,
- "code_repo_url": null,
- "description": null,
- "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": "NOAA National Centers for Environmental Information",
- "slug": "2019-noaa-pacific-marine-environmental-laboratory-pmel-tpos-saildrone-mission",
- "spatial_centroid": {
- "lat": 15.4735028,
- "lon": -146.08415480000002
- },
- "spatial_shape": {
- "coordinates": [
- [
- [
- -137.561024,
- -5.544162
- ],
- [
- -137.561024,
- 47.0
- ],
- [
- -158.868851,
- 47.0
- ],
- [
- -158.868851,
- -5.544162
- ],
- [
- -137.561024,
- -5.544162
- ]
- ]
- ],
- "type": "Polygon"
- },
- "theme": [
- "geospatial"
- ],
- "title": "2019 NOAA Pacific Marine Environmental Laboratory (PMEL) TPOS Saildrone Mission",
- "type": "dataset"
- },
- {
- "_score": 1.4925776,
- "_sort": [
- 1790467991667,
- 1.4925776,
- 2,
- "c61ae493-a6a1-4a0b-98cf-f5ac276cbdd2"
- ],
- "dcat": {
- "@type": "dcat:Dataset",
- "accessLevel": "non-public",
- "contactPoint": {
- "@type": "vcard:Contact",
- "fn": "NOAA National Centers for Environmental Information",
- "hasEmail": "mailto:ncei.info@noaa.gov"
- },
- "describedByType": "application/octet-stream",
- "description": "This dataset contains the real time data from the Saildrone core sensors for the Pacific Marine Environmental Laboratory (PMEL) TPOS 2017 Mission (Mission 1) to the eastern tropical Pacific (10N, 125W and 0, 125W). These data have not been Quality Control (QC). This was the first of three missions funded by NOAA Office of Oceanic and Atmospheric Research (OAR)/CPO/GOMO and NOAA/OMAO as a pilot study for the Tropical Pacific Observing System (TPOS)-2020 project. The PMEL TPOS 2017 Mission (aka Mission 1) had two Gen-4 Saildrones, each with a full atmospheric and ocean core sensor suite, an Acoustic Doppler Current Profiler (ADCP), and an ASVCO2 carbon flux and pH system. The two drones were deployed out of Alameda, CA on September 1, 2017, for a mission in the equatorial Pacific. After sailing near the CCE1 mooring off coastal California, the drones proceeded to the area near 10N, 125W. They remained in the area from October 18 - November 13, 2017, to participate in the Salinity Processes in the Upper Ocean Regional Study (SPURS)-2 field study, which included side-by-side data acquisition with a Woods Hole Oceanographic Institution (WHOI) buoy, and the R/V REVELLE. When SPURS-2 ended, the drones sailed south on either side of 125W, stopping for comparisons against Tropical Atmosphere/Ocean (TAO) moorings at 8N, 5N, and 2N. After crossing the equator, the drones returned to California. SD-1006 was recovered from San Francisco Bay on May 18, 2018.",
- "distribution": [
- {
- "@type": "dcat:Distribution",
- "accessURL": "https://www.ncei.noaa.gov/archive/accession/PMEL-TPOS_Saildrone_2017",
- "describedByType": "application/octet-stream",
- "description": "Navigate directly to the URL for a descriptive web page with download links.",
- "mediaType": "text/html",
- "title": "NCEI Dataset Landing Page"
- },
- {
- "@type": "dcat:Distribution",
- "accessURL": "https://data.noaa.gov/onestop/collections/granules/84ff1006-4718-4ec2-a1a8-4791e1e349d4",
- "describedByType": "application/octet-stream",
- "description": "Browse data granules belonging to this collection (a granule is the smallest aggregation of data that can be independently described and retrieved).",
- "mediaType": "text/html",
- "title": "Browse granules"
- },
- {
- "@type": "dcat:Distribution",
- "accessURL": "https://www.ncei.noaa.gov/metadata/granule/geoportal/?from=0&size=10&esdsl=%7B%22query%22%3A%7B%22bool%22%3A%7B%22must%22%3A%5B%7B%22query_string%22%3A%7B%22analyze_wildcard%22%3Atrue%2C%22query%22%3A%22fileid%3APMEL-TPOS_Saildrone_2017.*%22%7D%7D%5D%7D%7D%7D#searchPanel",
- "describedByType": "application/octet-stream",
- "description": "Search for data granules belonging to this collection (a granule is the smallest aggregation of data that can be i