Timeline / Data.gov — Environment Datasets

changed Source changed

A new raw object was archived. Both versions are preserved. 5661 line(s) added, 7694 line(s) removed.

Evidence

What changed derived

This diff is not evidence. It was produced by civic-memory.diff_engine 1.1.0 at 2026-10-09T00:26:45+00:00 by normalizing the two archived objects above. The objects are authoritative; this reading of them can be regenerated or deleted without loss. 5661 line(s) added, 7694 line(s) removed.

--- previous
+++ current
@@ -1,97 +1,1823 @@
 {
- "after": "WzE3OTE0MDg5NTg4OTksOS4xODQ3MDQsMSwiZDlmM2ZkMzYtMTQzYi00YWRlLWFjODUtZGE0N2QwNTZhZDllIl0=",
+ "after": "WzE3OTE0MTAwMjc0NDcsMi41MjEwNDI4LDAsIjIzNWU2ZGQ1LTcxY2EtNDI3Ni04MDY4LWRiNTBmMTZlNzkwYiJd",
  "results": [
  {
- "_score": 25.320984,
+ "_score": 17.082207,
  "_sort": [
- 1791435688789,
- 25.320984,
- 4,
- "b8736e26-bf11-4415-8561-ac9c6f294015"
+ 1791499678422,
+ 17.082207,
+ 2,
+ "81acb539-ba3f-48dd-bbd0-0d13bcdd6e8c"
+ ],
+ "access_level": "public",
+ "dcat": {
+ "@type": "dcat:Dataset",
+ "accessLevel": "public",
+ "accessRights": "public",
+ "bureauCode": [
+ "005:84"
+ ],
+ "contactPoint": {
+ "@type": "vcard:Contact",
+ "fn": "FNS Webmaster",
+ "hasEmail": "mailto:webmaster@fns.usda.gov"
+ },
+ "description": "This handbook is for state agency monitoring staff and provides detail for administering the Child and Adult Care Food Program (CACFP). \r\n \r\nThe CACFP is a federally-funded program that provides payments for eligible meals served to participants who meet age and income requirements. Meals served by participating institutions and facilities must meet minimum guidelines set by the U.S. Department of Agriculture (USDA). The CACFP helps institutions and facilities serve well-balanced, nutritious meals to the participants in their care. Serving nutritious meals helps improve and maintain the health and nutritional status of participants in a day care environment and can help them develop and maintain good eating habits.",
+ "distribution": [
+ {
+ "@type": "dcat:Distribution",
+ "downloadURL": "https://www.fns.usda.gov/sites/default/files/resource-files/2014Monitoring_Handbook_SA.pdf",
+ "license": "https://creativecommons.org/publicdomain/zero/1.0/",
+ "mediaType": "application/pdf",
+ "title": "Monitoring Handbook for State Agencies"
+ }
+ ],
+ "identifier": "USDA-FNS-127",
+ "keyword": [
+ "CACFP",
+ "FNS",
+ "Meals",
+ "USDA",
+ "health and nutritional"
+ ],
+ "license": "https://creativecommons.org/publicdomain/zero/1.0/",
+ "modified": "2018-11-26",
+ "programCode": [
+ "005:056"
+ ],
+ "publisher": {
+ "@type": "org:Organization",
+ "name": "Food and Nutrition Service"
+ },
+ "title": "CACFP Monitoring Handbook for State Agencies"
+ },
+ "description": "This handbook is for state agency monitoring staff and provides detail for administering the Child and Adult Care Food Program (CACFP). \r\n \r\nThe CACFP is a federally-funded program that provides payments for eligible meals served to participants who meet age and income requirements. Meals served by participating institutions and facilities must meet minimum guidelines set by the U.S. Department of Agriculture (USDA). The CACFP helps institutions and facilities serve well-balanced, nutritious meals to the participants in their care. Serving nutritious meals helps improve and maintain the health and nutritional status of participants in a day care environment and can help them develop and maintain good eating habits.",
+ "distribution_titles": [
+ "Monitoring Handbook for State Agencies"
+ ],
+ "harvest_record": "https://catalog.data.gov/harvest_record/71ce110a-33fc-4786-b02f-80a0e5cadcbd",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/71ce110a-33fc-4786-b02f-80a0e5cadcbd/raw",
+ "has_download": true,
+ "has_spatial": false,
+ "identifier": "USDA-FNS-127",
+ "keyword": [
+ "CACFP",
+ "FNS",
+ "Meals",
+ "USDA",
+ "health and nutritional"
+ ],
+ "last_harvested_date": "2026-10-08T22:47:58.422202",
+ "organization": {
+ "aliases": [
+ "dept"
+ ],
+ "code_repo_exempt": false,
+ "code_repo_url": null,
+ "description": null,
+ "id": "352b4532-793d-4075-a03f-05b778a3c43a",
+ "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/usda.png",
+ "name": "Department of Agriculture",
+ "organization_type": "Federal Government",
+ "slug": "usda"
+ },
+ "parent_identifier": null,
+ "popularity": 2,
+ "publisher": "Food and Nutrition Service",
+ "slug": "cacfp-monitoring-handbook-for-state-agencies",
+ "spatial_centroid": null,
+ "spatial_shape": null,
+ "theme": [],
+ "title": "CACFP Monitoring Handbook for State Agencies",
+ "type": "dataset"
+ },
+ {
+ "_score": 17.19603,
+ "_sort": [
+ 1791499678147,
+ 17.19603,
+ 3,
+ "84b7d329-1834-42c7-af15-e2e914148843"
+ ],
+ "access_level": "public",
+ "dcat": {
+ "@type": "dcat:Dataset",
+ "accessLevel": "public",
+ "accessRights": "public",
+ "bureauCode": [
+ "005:84"
+ ],
+ "contactPoint": {
+ "@type": "vcard:Contact",
+ "fn": "FNS Webmaster",
+ "hasEmail": "mailto:webmaster@fns.usda.gov"
+ },
+ "description": "This handbook specifically focuses on plans for institutions (independent centers and sponsoring organizations) to conduct organized and fiscally responsible operations of the CACFP management plans outline the institution’s policies and procedures for administering and monitoring its own operations and those of its sponsored facilities. Budgets outline the use of CACFP and other funds for meeting Program requirements. FNS recognizes that maintaining a high-quality CACFP requires a commitment to excellence on the part of institutions and caregivers. We applaud the efforts of the many dedicated persons who ensure that the participating children and adults are served wholesome, attractive, and nutritious meals in a sociable environment while meeting the requirements for federal assistance.",
+ "distribution": [
+ {
+ "@type": "dcat:Distribution",
+ "downloadURL": "https://www.fns.usda.gov/sites/default/files/resource-files/CACFP%20Management_PlansHandbook.pdf",
+ "license": "https://creativecommons.org/publicdomain/zero/1.0/",
+ "mediaType": "application/pdf",
+ "title": "Guidance for Management Plans and Budgets"
+ }
+ ],
+ "identifier": "USDA-FNS-126",
+ "keyword": [
+ "CACFP",
+ "Child and Adult Care Food Program",
+ "FNS",
+ "Plans and Budgets",
+ "USDA"
+ ],
+ "license": "https://creativecommons.org/publicdomain/zero/1.0/",
+ "modified": "2019-05-03",
+ "programCode": [
+ "005:056"
+ ],
+ "publisher": {
+ "@type": "org:Organization",
+ "name": "Food and Nutrition Service"
+ },
+ "title": "Guidance for Management Plans and Budgets - A Child and Adult Care Food Program Handbook"
+ },
+ "description": "This handbook specifically focuses on plans for institutions (independent centers and sponsoring organizations) to conduct organized and fiscally responsible operations of the CACFP management plans outline the institution’s policies and procedures for administering and monitoring its own operations and those of its sponsored facilities. Budgets outline the use of CACFP and other funds for meeting Program requirements. FNS recognizes that maintaining a high-quality CACFP requires a commitment to excellence on the part of institutions and caregivers. We applaud the efforts of the many dedicated persons who ensure that the participating children and adults are served wholesome, attractive, and nutritious meals in a sociable environment while meeting the requirements for federal assistance.",
+ "distribution_titles": [
+ "Guidance for Management Plans and Budgets"
+ ],
+ "harvest_record": "https://catalog.data.gov/harvest_record/9e4635a6-2e10-4479-b0db-1b9d6590af93",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/9e4635a6-2e10-4479-b0db-1b9d6590af93/raw",
+ "has_download": true,
+ "has_spatial": false,
+ "identifier": "USDA-FNS-126",
+ "keyword": [
+ "CACFP",
+ "Child and Adult Care Food Program",
+ "FNS",
+ "Plans and Budgets",
+ "USDA"
+ ],
+ "last_harvested_date": "2026-10-08T22:47:58.147539",
+ "organization": {
+ "aliases": [
+ "dept"
+ ],
+ "code_repo_exempt": false,
+ "code_repo_url": null,
+ "description": null,
+ "id": "352b4532-793d-4075-a03f-05b778a3c43a",
+ "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/usda.png",
+ "name": "Department of Agriculture",
+ "organization_type": "Federal Government",
+ "slug": "usda"
+ },
+ "parent_identifier": null,
+ "popularity": 3,
+ "publisher": "Food and Nutrition Service",
+ "slug": "guidance-for-management-plans-and-budgets-a-child-and-adult-care-food-program-handbook",
+ "spatial_centroid": null,
+ "spatial_shape": null,
+ "theme": [],
+ "title": "Guidance for Management Plans and Budgets - A Child and Adult Care Food Program Handbook",
+ "type": "dataset"
+ },
+ {
+ "_score": 67.643,
+ "_sort": [
+ 1791499510837,
+ 67.643,
+ 2,
+ "fa7c6726-0ea4-438f-9f58-2bf23899f206"
+ ],
+ "access_level": "public",
+ "dcat": {
+ "@type": "dcat:Dataset",
+ "accessLevel": "public",
+ "accessRights": "public",
+ "bureauCode": [
+ "005:18"
+ ],
+ "contactPoint": {
+ "fn": "Nakanishi, Brian",
+ "hasEmail": "mailto:brian.nakanishi@usda.gov"
+ },
+ "description": "<p>Recent USDA/ARS patented technologies on bioenergy and the environment that are available for licensing are described, including summary, contact, benefits, and applications. Updated June 2018. </p><div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: Bioenergy and Environment - Available Technologies, June 2018.</p> <p>File Name: Bioenergy and Environment.pptx</p><p>Resource Description: Slides presenting title, contact, docket number(s), description, image, benefits, and applications of each new technology.</p></li><br><li><p>Resource Title: Patented Technologies Data Dictionary.</p> <p>File Name: patented-technologies-data-dictionary.csv</p><p>Resource Description: Defines fields, data type, allowed values etc. in patented technology tables.</p></li><br><li><p>Resource Title: Bioenergy and Environment - June 2018.</p> <p>File Name: Bioenergy_and_Environment_2018-06.csv</p><p>Resource Description: Listing of technologies to convert materials to bioproducts from agriculture and food production into fuels and other marketable products, and technologies to monitor and conserve the environment and resources. This CSV file provides the title, technology type, docket number, contact, description, and category for each item. Machine-readable content extracted from corresponding slides accompanying this dataset.</p></li></ul><p></p>",
+ "distribution": [
+ {
+ "@type": "dcat:Distribution",
+ "downloadURL": "https://ndownloader.figshare.com/files/43633575",
+ "format": "pptx",
+ "license": "https://creativecommons.org/publicdomain/zero/1.0/",
+ "mediaType": "application/vnd.openxmlformats-officedocument.presentationml.presentation",
+ "title": "Bioenergy and Environment.pptx"
+ },
+ {
+ "@type": "dcat:Distribution",
+ "downloadURL": "https://ndownloader.figshare.com/files/43633578",
+ "format": "csv",
+ "license": "https://creativecommons.org/publicdomain/zero/1.0/",
+ "mediaType": "text/plain",
+ "title": "patented-technologies-data-dictionary_0.csv"
+ },
+ {
+ "@type": "dcat:Distribution",
+ "downloadURL": "https://ndownloader.figshare.com/files/43633581",
+ "format": "csv",
+ "license": "https://creativecommons.org/publicdomain/zero/1.0/",
+ "mediaType": "text/plain",
+ "title": "Bioenergy_and_Environment_2018-06_0.csv"
+ }
+ ],
+ "identifier": "10.15482/USDA.ADC/1529221",
+ "keyword": [
+ "ARS",
+ "Ethanol",
+ "Water",
+ "aerate",
+ "bio-oils",
+ "biofuels",
+ "chars",
+ "chemical",
+ "data.gov",
+ "emissions",
+ "energy",
+ "fluids",
+ "gas",
+ "manure",
+ "oil",
+ "oxygen",
+ "rangeland"
+ ],
+ "license": "https://creativecommons.org/publicdomain/zero/1.0/",
+ "modified": "2023-12-14",
+ "programCode": [
+ "005:040"
+ ],
+ "publisher": {
+ "@type": "org:Organization",
+ "name": "Agricultural Research Service"
+ },
+ "title": "USDA Agricultural Research Service - Patented Bioenergy and Environment Technologies"
+ },
+ "description": "<p>Recent USDA/ARS patented technologies on bioenergy and the environment that are available for licensing are described, including summary, contact, benefits, and applications. Updated June 2018. </p><div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: Bioenergy and Environment - Available Technologies, June 2018.</p> <p>File Name: Bioenergy and Environment.pptx</p><p>Resource Description: Slides presenting title, contact, docket number(s), description, image, benefits, and applications of each new technology.</p></li><br><li><p>Resource Title: Patented Technologies Data Dictionary.</p> <p>File Name: patented-technologies-data-dictionary.csv</p><p>Resource Description: Defines fields, data type, allowed values etc. in patented technology tables.</p></li><br><li><p>Resource Title: Bioenergy and Environment - June 2018.</p> <p>File Name: Bioenergy_and_Environment_2018-06.csv</p><p>Resource Description: Listing of technologies to convert materials to bioproducts from agriculture and food production into fuels and other marketable products, and technologies to monitor and conserve the environment and resources. This CSV file provides the title, technology type, docket number, contact, description, and category for each item. Machine-readable content extracted from corresponding slides accompanying this dataset.</p></li></ul><p></p>",
+ "distribution_titles": [
+ "Bioenergy and Environment.pptx",
+ "patented-technologies-data-dictionary_0.csv",
+ "Bioenergy_and_Environment_2018-06_0.csv"
+ ],
+ "harvest_record": "https://catalog.data.gov/harvest_record/aca0ee62-fec3-472c-9277-08364aadbc47",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/aca0ee62-fec3-472c-9277-08364aadbc47/raw",
+ "has_download": true,
+ "has_spatial": false,
+ "identifier": "10.15482/USDA.ADC/1529221",
+ "keyword": [
+ "ARS",
+ "Ethanol",
+ "Water",
+ "aerate",
+ "bio-oils",
+ "biofuels",
+ "chars",
+ "chemical",
+ "data.gov",
+ "emissions",
+ "energy",
+ "fluids",
+ "gas",
+ "manure",
+ "oil",
+ "oxygen",
+ "rangeland"
+ ],
+ "last_harvested_date": "2026-10-08T22:45:10.837238",
+ "organization": {
+ "aliases": [
+ "dept"
+ ],
+ "code_repo_exempt": false,
+ "code_repo_url": null,
+ "description": null,
+ "id": "352b4532-793d-4075-a03f-05b778a3c43a",
+ "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/usda.png",
+ "name": "Department of Agriculture",
+ "organization_type": "Federal Government",
+ "slug": "usda"
+ },
+ "parent_identifier": null,
+ "popularity": 2,
+ "publisher": "Agricultural Research Service",
+ "slug": "usda-agricultural-research-service-patented-bioenergy-and-environment-technologies",
+ "spatial_centroid": null,
+ "spatial_shape": null,
+ "theme": [],
+ "title": "USDA Agricultural Research Service - Patented Bioenergy and Environment Technologies",
+ "type": "dataset"
+ },
+ {
+ "_score": 7.620571,
+ "_sort": [
+ 1791499472386,
+ 7.620571,
+ 5,
+ "e8da1bc3-4300-4baa-a346-fed37b98af31"
+ ],
+ "access_level": "public",
+ "dcat": {
+ "@type": "dcat:Dataset",
+ "accessLevel": "public",
+ "accessRights": "public",
+ "bureauCode": [
+ "005:18"
+ ],
+ "contactPoint": {
+ "fn": "Rotz, C. Alan",
+ "hasEmail": "mailto:al.rotz@ars.usda.gov"
+ },
+ "description": "<p>The need for a research tool that integrates the many physical and biological processes on a farm has led to the development of the Integrated Farm System Model (IFSM). The model has been used to evaluate a wide variety of technologies and management strategies, and these analyses have been reported in the scientific and farm-trade literature. Systems research in dairy and beef production remains as the primary purpose of this tool, but the model also provides an effective teaching aid. With the model, students gain a better appreciation for the complexity of livestock forage systems. The learn how small changes affect many parts of the system, causing unanticipated results. They may also use the model to develop a more optimum food production system. When used in extension type teaching, producers can learn more about their farms and obtain information useful in strategic planning. By testing and comparing different options with the model, those offering the greatest economic benefit with acceptable environmental impact can be found.</p>\n<p>Input information is supplied to the program through three parameter files. The farm parameter file contains data describing the farm such as crop areas, soil type, equipment and structures used, numbers of animals at various ages, harvest, tillage, and manure handling strategies, and prices for various farm inputs and outputs. The machinery file includes parameters for each machine available for use on a simulated farm.</p>\n<p>Simulation output is available in four files, which contain summary tables, report tables, optional tables, and parameter tables. The summary tables provide average performance, environmental impact, costs, and returns for the years simulated. These values consist of crop yields, feeds produced, feeds bought and sold, manure produced, nutrient losses to the environment, production costs, income from products sold, and the net return or profitability of the farm. Values are provided for the average and standard deviation of each over all simulated years. The report tables provide extensive output information including all the data given in the summary tables. In these tables, values are given for each simulated year of weather as well as the mean and variance over all simulated years. Optional tables are available for a closer inspection of how the components of the full simulation are functioning. These tables include very detailed data, often on a daily basis. Parameter tables summarize the input parameters specified for a given simulation. These tables provide a convenient method of documenting the parameter settings used for a simulation.</p>\n<div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: Projected Climate Data for IFSM.</p> <p>File Name: Web Page, url: <a href=\"https://www.ars.usda.gov/research/software/download/?softwareid=497&modecode=80-70-05-00\" target=\"_blank\">https://www.ars.usda.gov/research/software/download/?softwareid=497&modecode=80-70-05-00</a> </p><p>Downscaled climate data (1950 to 2100) are available for 78 locations across the United States formatted for use in IFSM. Each location includes 18 climate files created using 9 general circulation models (GCM) and 2 projected emission scenarios. Emission scenarios include Representative Concentration Pathways (RCP) 4.5 and 8.5 where RCP 4.5 represents a somewhat optimistic outlook for reducing greenhouse gas emissions and 8.5 represents continuing the current trend for emissions. </p></li></ul>",
+ "distribution": [
+ {
+ "@type": "dcat:Distribution",
+ "downloadURL": "https://www.ars.usda.gov/research/software/download/?softwareid=497&modecode=80-70-05-00",
+ "license": "https://www.usa.gov/publicdomain/label/1.0/",
+ "mediaType": "text/html",
+ "title": "https://www.ars.usda.gov/research/software/download/?softwareid=497&modecode=80-70-05-00"
+ }
+ ],
+ "identifier": "10113/AA7768",
+ "keyword": [
+ "ARS",
+ "IFSM",
+ "Integrated Farm System Model",
+ "data.gov"
+ ],
+ "license": "https://www.usa.gov/publicdomain/label/1.0/",
+ "modified": "2024-02-09",
+ "programCode": [
+ "005:040"
+ ],
+ "publisher": {
+ "@type": "org:Organization",
+ "name": "Agricultural Research Service"
+ },
+ "title": "Integrated Farm System Model (IFSM)"
+ },
+ "description": "<p>The need for a research tool that integrates the many physical and biological processes on a farm has led to the development of the Integrated Farm System Model (IFSM). The model has been used to evaluate a wide variety of technologies and management strategies, and these analyses have been reported in the scientific and farm-trade literature. Systems research in dairy and beef production remains as the primary purpose of this tool, but the model also provides an effective teaching aid. With the model, students gain a better appreciation for the complexity of livestock forage systems. The learn how small changes affect many parts of the system, causing unanticipated results. They may also use the model to develop a more optimum food production system. When used in extension type teaching, producers can learn more about their farms and obtain information useful in strategic planning. By testing and comparing different options with the model, those offering the greatest economic benefit with acceptable environmental impact can be found.</p>\n<p>Input information is supplied to the program through three parameter files. The farm parameter file contains data describing the farm such as crop areas, soil type, equipment and structures used, numbers of animals at various ages, harvest, tillage, and manure handling strategies, and prices for various farm inputs and outputs. The machinery file includes parameters for each machine available for use on a simulated farm.</p>\n<p>Simulation output is available in four files, which contain summary tables, report tables, optional tables, and parameter tables. The summary tables provide average performance, environmental impact, costs, and returns for the years simulated. These values consist of crop yields, feeds produced, feeds bought and sold, manure produced, nutrient losses to the environment, production costs, income from products sold, and the net return or profitability of the farm. Values are provided for the average and standard deviation of each over all simulated years. The report tables provide extensive output information including all the data given in the summary tables. In these tables, values are given for each simulated year of weather as well as the mean and variance over all simulated years. Optional tables are available for a closer inspection of how the components of the full simulation are functioning. These tables include very detailed data, often on a daily basis. Parameter tables summarize the input parameters specified for a given simulation. These tables provide a convenient method of documenting the parameter settings used for a simulation.</p>\n<div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: Projected Climate Data for IFSM.</p> <p>File Name: Web Page, url: <a href=\"https://www.ars.usda.gov/research/software/download/?softwareid=497&modecode=80-70-05-00\" target=\"_blank\">https://www.ars.usda.gov/research/software/download/?softwareid=497&modecode=80-70-05-00</a> </p><p>Downscaled climate data (1950 to 2100) are available for 78 locations across the United States formatted for use in IFSM. Each location includes 18 climate files created using 9 general circulation models (GCM) and 2 projected emission scenarios. Emission scenarios include Representative Concentration Pathways (RCP) 4.5 and 8.5 where RCP 4.5 represents a somewhat optimistic outlook for reducing greenhouse gas emissions and 8.5 represents continuing the current trend for emissions. </p></li></ul>",
+ "distribution_titles": [
+ "https://www.ars.usda.gov/research/software/download/?softwareid=497&modecode=80-70-05-00"
+ ],
+ "harvest_record": "https://catalog.data.gov/harvest_record/dbfca6b3-53a8-4e29-94ee-abf8a5669f60",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/dbfca6b3-53a8-4e29-94ee-abf8a5669f60/raw",
+ "has_download": true,
+ "has_spatial": false,
+ "identifier": "10113/AA7768",
+ "keyword": [
+ "ARS",
+ "IFSM",
+ "Integrated Farm System Model",
+ "data.gov"
+ ],
+ "last_harvested_date": "2026-10-08T22:44:32.386348",
+ "organization": {
+ "aliases": [
+ "dept"
+ ],
+ "code_repo_exempt": false,
+ "code_repo_url": null,
+ "description": null,
+ "id": "352b4532-793d-4075-a03f-05b778a3c43a",
+ "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/usda.png",
+ "name": "Department of Agriculture",
+ "organization_type": "Federal Government",
+ "slug": "usda"
+ },
+ "parent_identifier": null,
+ "popularity": 5,
+ "publisher": "Agricultural Research Service",
+ "slug": "integrated-farm-system-model-ifsm",
+ "spatial_centroid": null,
+ "spatial_shape": null,
+ "theme": [],
+ "title": "Integrated Farm System Model (IFSM)",
+ "type": "dataset"
+ },
+ {
+ "_score": 5.967306,
+ "_sort": [
+ 1791499467672,
+ 5.967306,
+ 6,
+ "82386195-ee39-4d74-a0f6-93531b161ca4"
+ ],
+ "access_level": "public",
+ "dcat": {
+ "@type": "dcat:Dataset",
+ "accessLevel": "public",
+ "accessRights": "public",
+ "bureauCode": [
+ "005:18"
+ ],
+ "contactPoint": {
+ "fn": "Skaggs, Todd",
+ "hasEmail": "mailto:Todd.Skaggs@ars.usda.gov"
+ },
+ "description": "<p>HYDRUS-1D is a Microsoft Windows-based modeling environment for analysis of water flow and solute transport in variably saturated porous media. The software package includes the one-dimensional finite element model HYDRUS (version 7.0) for simulating the movement of water, heat, and multiple solutes in variably saturated media. The model is supported by an interactive graphics-based interface for data-preprocessing, discretization of the soil profile, and graphic presentation of the results.</p>\n<p>The HYDRUS program is a finite element model for simulating theone-dimensional movement of water, heat, and multiple solutes in variably saturated media. The program numerically solves the Richards' equation for saturated-unsaturated water flow and Fickian-based advection dispersion equations for heat and solute transport.</p>\n<p>TheFlow equation incorporates a sink term to account for water uptake by plant roots.</p>\n<p>TheHeat transport equation considers conduction as well as convection with flowing water.</p>\n<p>TheSolute transport equations consider advective-dispersive transport in the liquid phase, and diffusion in the gaseous phase.</p>\n<p>The transport equations also include provisions for:</p>\n<p>Nonlinear\nand/orNonequilibrium reactions between the solid and liquid phases,</p>\n<p>Linear equilibrium reactions between the liquid and gaseous phases,\nZero order production, and\nTwoFirst order degradation reactions:\nOne which is independent of other solutes, and\nOne which provides the coupling between solutes involved in sequential first-order decay reactions.\nThe program may be used to analyze water and solute movement in unsaturated, partially saturated, or fully saturated porous media.</p>\n<p>The flow region itself may be composed of nonuniform soils. Flow and transport can occur in the vertical, horizontal, or a generally inclined direction. The water flow part of the model can deal with (constant or time-varying) prescribed head and flux boundaries, boundaries controlled by atmospheric conditions, as well as free drainage boundary conditions. Soil surface boundary conditions may change during the simulation from prescribed flux to prescribed head type conditions (and vice versa).</p>\n<p>For solute transport the code supports both (constant and varying) prescribed concentration (Dirichlet or first-type) and concentration flux (Cauchy or third-type) boundary conditions. The dispersion coefficient includes terms reflecting the effects of molecular diffusion and tortuosity.</p>\n<p>The Unsaturated Soil Hydraulic Properties are described using van Genuchten [1980], Brooks and Correy [1964] and modified van Genuchten type analytical functions. Modifications were made to improve the description of hydraulic properties near saturation. The HYDRUS code incorporates hysteresis by using the empirical model introduced by Scott et al. [1983] and Kool and Parker [1987]. This model assumes that drying scanning curves are scaled from the main drying curve, and wetting scanning curves from the main wetting curve. </p>\n<p>HYDRUS also implements a scaling procedure to approximate hydraulic variability in a given soil profile by means of a set of linear scaling transformations which relate the individual soil hydraulic characteristics to those of a reference soil. </p>\n<p>Root growth is simulated by means of a logistic growth function. Water and salinity stress response functions can be defined according to functions proposed by Feddes et al. [1978] or van Genuchten [1987]. </p>\n<p>The governing flow and transport equations are solvednumerically using Galerkin type linear finite element schemes. Integration in time is achieved using an implicit (backwards) finite difference scheme for both saturated and unsaturated conditions. Additional measures are taken to improve solution efficiency for transient problems, including automatic time step adjustment and adherence to preset ranges of the Courant and Peclet numbers. The water content term is evaluated using the mass conservative method proposed by Celia et al. [1990]. Possible options for minimizing numerical oscillations in the transport solutions include upstream weighing, artificial dispersion, and/or performance indexing.</p>\n<p>HYDRUS implements a Marquardt-Levenberg type parameter estimation technique for inverse estimation of selected soil hydraulic and/or solute transport and reaction parameters from measured transient or steady-state flow and/or transport data. The procedure permits several unknown parameters to be estimated from observed water contents, pressure heads, concentrations, and/or instantaneous or cumulative boundary fluxes (e.g., infiltration or outflow data). Additional retention or hydraulic conductivity data, as well as a penalty function for constraining the optimized parameters to remain in some feasible region (Bayesian estimation), can be optionally included in the parameter estimation procedure.</p>\n<div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: HYDRUS-1D download page.</p> <p>File Name: Web Page, url: <a href=\"https://www.ars.usda.gov/research/software/download/?softwareid=97&modecode=20-36-15-00\" target=\"_blank\">https://www.ars.usda.gov/research/software/download/?softwareid=97&modecode=20-36-15-00</a> </p></li></ul>",
+ "distribution": [
+ {
+ "@type": "dcat:Distribution",
+ "downloadURL": "https://www.ars.usda.gov/research/software/download/?softwareid=97&modecode=20-36-15-00",
+ "license": "https://creativecommons.org/publicdomain/zero/1.0/",
+ "mediaType": "text/html",
+ "title": "https://www.ars.usda.gov/research/software/download/?softwareid=97&modecode=20-36-15-00"
+ }
+ ],
+ "identifier": "10113/AA22509",
+ "keyword": [
+ "Bayesian theory",
+ "Natural Resources Earth and Environmental Sciences",
+ "Richards' equation",
+ "adsorption",
+ "advection",
+ "cations",
+ "computer software",
+ "convection",
+ "drainage",
+ "drying",
+ "empirical models",
+ "evaporation",
+ "finite element analysis",
+ "geometry",
+ "graphs",
+ "grasses",
+ "head",
+ "heat",
+ "hydraulic conductivity",
+ "hysteresis",
+ "liquids",
+ "models",
+ "nitrification",
+ "porous media",
+ "printers",
+ "rhizosphere",
+ "root growth",
+ "roots",
+ "salt stress",
+ "sand",
+ "soil profiles",
+ "soil types",
+ "solutes",
+ "stress response",
+ "temperature",
+ "transient flow",
+ "unsaturated conditions",
+ "user interface",
+ "water content",
+ "water uptake"
+ ],
+ "license": "https://creativecommons.org/publicdomain/zero/1.0/",
+ "modified": "2024-02-15",
+ "programCode": [
+ "005:040"
+ ],
+ "publisher": {
+ "@type": "org:Organization",
+ "name": "Agricultural Research Service"
+ },
+ "title": "HYDRUS-1D"
+ },
+ "description": "<p>HYDRUS-1D is a Microsoft Windows-based modeling environment for analysis of water flow and solute transport in variably saturated porous media. The software package includes the one-dimensional finite element model HYDRUS (version 7.0) for simulating the movement of water, heat, and multiple solutes in variably saturated media. The model is supported by an interactive graphics-based interface for data-preprocessing, discretization of the soil profile, and graphic presentation of the results.</p>\n<p>The HYDRUS program is a finite element model for simulating theone-dimensional movement of water, heat, and multiple solutes in variably saturated media. The program numerically solves the Richards' equation for saturated-unsaturated water flow and Fickian-based advection dispersion equations for heat and solute transport.</p>\n<p>TheFlow equation incorporates a sink term to account for water uptake by plant roots.</p>\n<p>TheHeat transport equation considers conduction as well as convection with flowing water.</p>\n<p>TheSolute transport equations consider advective-dispersive transport in the liquid phase, and diffusion in the gaseous phase.</p>\n<p>The transport equations also include provisions for:</p>\n<p>Nonlinear\nand/orNonequilibrium reactions between the solid and liquid phases,</p>\n<p>Linear equilibrium reactions between the liquid and gaseous phases,\nZero order production, and\nTwoFirst order degradation reactions:\nOne which is independent of other solutes, and\nOne which provides the coupling between solutes involved in sequential first-order decay reactions.\nThe program may be used to analyze water and solute movement in unsaturated, partially saturated, or fully saturated porous media.</p>\n<p>The flow region itself may be composed of nonuniform soils. Flow and transport can occur in the vertical, horizontal, or a generally inclined direction. The water flow part of the model can deal with (constant or time-varying) prescribed head and flux boundaries, boundaries controlled by atmospheric conditions, as well as free drainage boundary conditions. Soil surface boundary conditions may change during the simulation from prescribed flux to prescribed head type conditions (and vice versa).</p>\n<p>For solute transport the code supports both (constant and varying) prescribed concentration (Dirichlet or first-type) and concentration flux (Cauchy or third-type) boundary conditions. The dispersion coefficient includes terms reflecting the effects of molecular diffusion and tortuosity.</p>\n<p>The Unsaturated Soil Hydraulic Properties are described using van Genuchten [1980], Brooks and Correy [1964] and modified van Genuchten type analytical functions. Modifications were made to improve the description of hydraulic properties near saturation. The HYDRUS code incorporates hysteresis by using the empirical model introduced by Scott et al. [1983] and Kool and Parker [1987]. This model assumes that drying scanning curves are scaled from the main drying curve, and wetting scanning curves from the main wetting curve. </p>\n<p>HYDRUS also implements a scaling procedure to approximate hydraulic variability in a given soil profile by means of a set of linear scaling transformations which relate the individual soil hydraulic characteristics to those of a reference soil. </p>\n<p>Root growth is simulated by means of a logistic growth function. Water and salinity stress response functions can be defined according to functions proposed by Feddes et al. [1978] or van Genuchten [1987]. </p>\n<p>The governing flow and transport equations are solvednumerically using Galerkin type linear finite element schemes. Integration in time is achieved using an implicit (backwards) finite difference scheme for both saturated and unsaturated conditions. Additional measures are taken to improve solution efficiency for transient problems, including automatic time step adjustment and adherence to preset ranges of the Courant and Peclet numbers. The water content term is evaluated using the mass conservative method proposed by Celia et al. [1990]. Possible options for minimizing numerical oscillations in the transport solutions include upstream weighing, artificial dispersion, and/or performance indexing.</p>\n<p>HYDRUS implements a Marquardt-Levenberg type parameter estimation technique for inverse estimation of selected soil hydraulic and/or solute transport and reaction parameters from measured transient or steady-state flow and/or transport data. The procedure permits several unknown parameters to be estimated from observed water contents, pressure heads, concentrations, and/or instantaneous or cumulative boundary fluxes (e.g., infiltration or outflow data). Additional retention or hydraulic conductivity data, as well as a penalty function for constraining the optimized parameters to remain in some feasible region (Bayesian estimation), can be optionally included in the parameter estimation procedure.</p>\n<div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: HYDRUS-1D download page.</p> <p>File Name: Web Page, url: <a href=\"https://www.ars.usda.gov/research/software/download/?softwareid=97&modecode=20-36-15-00\" target=\"_blank\">https://www.ars.usda.gov/research/software/download/?softwareid=97&modecode=20-36-15-00</a> </p></li></ul>",
+ "distribution_titles": [
+ "https://www.ars.usda.gov/research/software/download/?softwareid=97&modecode=20-36-15-00"
+ ],
+ "harvest_record": "https://catalog.data.gov/harvest_record/afc88812-18f8-4a77-a843-6e753401f014",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/afc88812-18f8-4a77-a843-6e753401f014/raw",
+ "has_download": true,
+ "has_spatial": false,
+ "identifier": "10113/AA22509",
+ "keyword": [
+ "Bayesian theory",
+ "Natural Resources Earth and Environmental Sciences",
+ "Richards' equation",
+ "adsorption",
+ "advection",
+ "cations",
+ "computer software",
+ "convection",
+ "drainage",
+ "drying",
+ "empirical models",
+ "evaporation",
+ "finite element analysis",
+ "geometry",
+ "graphs",
+ "grasses",
+ "head",
+ "heat",
+ "hydraulic conductivity",
+ "hysteresis",
+ "liquids",
+ "models",
+ "nitrification",
+ "porous media",
+ "printers",
+ "rhizosphere",
+ "root growth",
+ "roots",
+ "salt stress",
+ "sand",
+ "soil profiles",
+ "soil types",
+ "solutes",
+ "stress response",
+ "temperature",
+ "transient flow",
+ "unsaturated conditions",
+ "user interface",
+ "water content",
+ "water uptake"
+ ],
+ "last_harvested_date": "2026-10-08T22:44:27.672868",
+ "organization": {
+ "aliases": [
+ "dept"
+ ],
+ "code_repo_exempt": false,
+ "code_repo_url": null,
+ "description": null,
+ "id": "352b4532-793d-4075-a03f-05b778a3c43a",
+ "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/usda.png",
+ "name": "Department of Agriculture",
+ "organization_type": "Federal Government",
+ "slug": "usda"
+ },
+ "parent_identifier": null,
+ "popularity": 6,
+ "publisher": "Agricultural Research Service",
+ "slug": "hydrus-1d",
+ "spatial_centroid": null,
+ "spatial_shape": null,
+ "theme": [],
+ "title": "HYDRUS-1D",
+ "type": "dataset"
+ },
+ {
+ "_score": 5.055294,
+ "_sort": [
+ 1791499466510,
+ 5.055294,
+ 3,
+ "ce6fc877-46e7-40e7-bce9-32bd1ffef3f3"
+ ],
+ "access_level": "public",
+ "dcat": {
+ "@type": "dcat:Dataset",
+ "accessLevel": "public",
+ "accessRights": "public",
+ "bureauCode": [
+ "005:18"
+ ],
+ "contactPoint": {
+ "fn": "Crouch, Jo Anne",
+ "hasEmail": "mailto:joanne.crouch@ars.usda.gov"
+ },
+ "description": "<p>Boxwood plants are affected by many different diseases caused by fungi. Some boxwood diseases are deadly and quickly kill the infected plants, but with others, the plant can survive and even thrive when infected. The fungus that causes volutella blight is the most common of these weak boxwood pathogens. Even the healthiest boxwood plants are infected by the volutella fungus, and often there are no signs that the plants are hurt by the infection. In order to understand why the volutella blight fungus is such a weak pathogen and to understand the genetic mechanisms it uses to interact with boxwood, the complete genome of the volutella fungus was sequenced and characterized. These datasets are generated from the genome sequence of <em>Pseudonectria foliicola</em>, strain ATCC13545, the fungus responsible for volutella disease of boxwood. Datasets include the nuclear genome and mitochondrial genome assemblies (sequenced using Illumina technology), the predicted gene model dataset generated using MAKER, the multiple sequence alignment of single-copy orthologs used for phylogenetic analysis, CMAP files generated from SimpleSynteny analysis of mitogenomes, and high quality photographic images. </p><div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: Ab initio gene prediction for the draft genome assembly of Pseudonectria foliicola ATCC 13545.</p> <p>File Name: Pfoliicola<em>makerRun.all</em>.maker<em>.proteins.txt</em></p><p><em>Resource Description: Ab initio gene prediction for the draft genome assembly of Pseudonectria foliicola ATCC 13545 was performed using the MAKER2 v.2.31.6 annotation pipeline. Gene training was performed according to the program documentation using SNAP and AUGUSTUS v.3.2.1 (Stanke et al. 2004) using Fusarium graminearum as a model organism.</em></p></li><em><br></em><li><em><p>Resource Title: SimpleSynteny CMAP file of Pseudonectria foliicola mitogenome.</p> </em><p><em>File Name: 1VB.cmap</em>.txt</p></li><br><li><p>Resource Title: SimpleSynteny CMAP file of Dactylonectria macrodidyma mitogenome.</p> <p>File Name: 2DM.cmap<em>.txt</em></p></li><em><br></em><li><em><p>Resource Title: SimpleSynteny CMAP file of Fusarium graminearum mitogenome.</p> </em><p><em>File Name: 3FG.cmap</em>.txt</p></li><br><li><p>Resource Title: Genome assembly of Pseudonectria foliicola ATCC 13545 .</p> <p>File Name: Volutella foliicola_ATCC13545_genome assembly.txt</p><p>Resource Description: The genome of <em>Pseudonectria foliicola</em> ATCC 13545 was sequenced on an Illumina MiSeq from gDNA used to construct a TruSeq Nano DNA LT Library. The library was sequenced on an Illumina MiSeq in two independent runs using paired-end 300-cycle reagent cartridge v.3 (Illumina, Inc.). Reads were processed and assembled using CLC Genomics Workbench version 7.5.1 (CLC Bio, Boston, MA, USA). Illumina adapters were trimmed and low quality reads (Phred score <0.05) were removed. Summary statistics for the draft genome were generated using CLC Genomics Workbench, PRINSEQ v.0.20.4 and QUAST. Completeness of the <em>P. foliicola</em> draft genome assembly was evaluated using BUSCO v.1.1b1 </p></li><br><li><p>Resource Title: Photograph of Pseudonectria foliicola growing from boxwood leaf.</p> <p>File Name: Pseudonectria_foliicola_leaf1.jpg</p></li><br><li><p>Resource Title: Photograph of Pseudonectria foliicola growing from boxwood leaf.</p> <p>File Name: Pseudonectria_foliicola_leaf2.jpg</p></li><br><li><p>Resource Title: Multiple sequence alignment of single-copy orthologs.</p> <p>File Name: All_OrthMCL2316_PHYLIP_alignment.txt</p><p>Resource Description: Fourteen publicly available fungal genomes were used to examine the phylogenetic placement of <em>Pseudonectria foliicola</em> through the analysis of single copy orthologous genes. For this analysis, the predicted proteomes of <em>Aspergillus nidulans</em> FGSC A4 (ASM114v1), <em>Botrytis cinerea</em> BcDW1 (Assembly GCA000349525), <em>Fusarium graminearum</em> PH-1 (GCA000240135), <em>Macrophomina phaseolina</em> MS6 (GCA000302655), <em>Magnaporthe oryzeae</em> 70-15 (MG8), <em>Neurospora crassa</em> (GCA000786625), <em>Penicillium oxalicum</em> 114-2 (GCA000346795), <em>Pyrenophora tritici-repentis</em> (GCA000149985), <em>Sclerotinia sclerotiorum</em> 1980 UF-70 (ASM1469v1), <em>Trichoderma reesei</em> RUT C-30 (GCA000513815), <em>Ustilago maydis</em> 521 (UM1), <em>Verticillium dahliae</em> JR2 (GCA000400815) and <em>Yarrowia lipolytica</em> CLIB122 (GCA000002525) were downloaded from the EnsemblFungi database (<a href=\"https://fungi.ensembl.org/index.html\">https://fungi.ensembl.org/index.html</a>). The genome of the <em>Dactylonectria macrodidyma</em> JAC15-245 (NCBI GenBank accession JYGD00000000 was downloaded and used to generate gene models using the program MAKER. The program OrthoMCL identified 16,356 gene clusters, from which 1,884 orthologous genes were shared across all 15 fungal species. From these shared gene clusters, 1,511 orthologous genes were found as single copy genes and used for the phylogenetic analysis. All proteomes were searched against each other using BLASTp and clustered in orthologous gene sets using OrthoMCL v1.4 in the iPLANT Discovery Environment. Single copy genes found in all 15 fungal proteomes were extracted from the orthologous dataset and amino acid alignments were performed using MUSCLE v3.8.31. Gblocks v.0.91b was used to remove ambiguously aligned regions using less stringent settings. The final aligned dataset after removal of ambiguously aligned regions consists of 388.7 Mb. The alignment is provided in PHYLIP format.</p></li></ul><p></p>",
+ "distribution": [
+ {
+ "@type": "dcat:Distribution",
+ "downloadURL": "https://ndownloader.figshare.com/files/44356970",
+ "format": "txt",
+ "license": "https://www.usa.gov/publicdomain/label/1.0/",
+ "mediaType": "text/plain",
+ "title": "Pfoliicola_makerRun.all_.maker_.proteins.txt"
+ },
+ {
+ "@type": "dcat:Distribution",
+ "downloadURL": "https://ndownloader.figshare.com/files/44356973",
+ "format": "txt",
+ "license": "https://www.usa.gov/publicdomain/label/1.0/",
+ "mediaType": "text/plain",
+ "title": "Volutella foliicola_ATCC13545_genome assembly.txt"
+ },
+ {
+ "@type": "dcat:Distribution",
+ "downloadURL": "https://ndownloader.figshare.com/files/44356976",
+ "format": "txt",
+ "license": "https://www.usa.gov/publicdomain/label/1.0/",
+ "mediaType": "text/plain",
+ "title": "All_OrthMCL2316_PHYLIP_alignment.txt"
+ },
+ {
+ "@type": "dcat:Distribution",
+ "downloadURL": "https://ndownloader.figshare.com/files/44356991",
+ "format": "txt",
+ "license": "https://www.usa.gov/publicdomain/label/1.0/",
+ "mediaType": "text/plain",
+ "title": "1VB.cmap_.txt"
+ },
+ {
+ "@type": "dcat:Distribution",
+ "downloadURL": "https://ndownloader.figshare.com/files/44357000",
+ "format": "txt",
+ "license": "https://www.usa.gov/publicdomain/label/1.0/",
+ "mediaType": "text/plain",
+ "title": "2DM.cmap_.txt"
+ },
+ {
+ "@type": "dcat:Distribution",
+ "downloadURL": "https://ndownloader.figshare.com/files/44357015",
+ "format": "txt",
+ "license": "https://www.usa.gov/publicdomain/label/1.0/",
+ "mediaType": "text/plain",
+ "title": "3FG.cmap_.txt"
+ },
+ {
+ "@type": "dcat:Distribution",
+ "downloadURL": "https://ndownloader.figshare.com/files/44357021",
+ "format": "jpg",
+ "license": "https://www.usa.gov/publicdomain/label/1.0/",
+ "mediaType": "image/jpeg",
+ "title": "Pseudonectria_foliicola_leaf1.jpg"
+ },
+ {
+ "@type": "dcat:Distribution",
+ "downloadURL": "https://ndownloader.figshare.com/files/44357024",
+ "format": "jpg",
+ "license": "https://www.usa.gov/publicdomain/label/1.0/",
+ "mediaType": "image/jpeg",
+ "title": "Pseudonectria_foliicola_leaf2.jpg"
+ }
+ ],
+ "identifier": "10.15482/USDA.ADC/1408094",
+ "keyword": [
+ "ARS",
+ "Ascomycota",
+ "NP303",
+ "boxwood",
+ "data.gov",
+ "fungi",
+ "genome assembly",
+ "mitochondrial DNA",
+ "nectriaceae",
+ "ornamental plant",
+ "pathogen",
+ "plant pathogens"
+ ],
+ "license": "https://www.usa.gov/publicdomain/label/1.0/",
+ "modified": "2024-02-09",
+ "programCode": [
+ "005:040"
+ ],
+ "publisher": {
+ "@type": "org:Organization",
+ "name": "Agricultural Research Service"
+ },
+ "title": "Genome analysis of the ubiquitous boxwood pathogen Pseudonectria foliicola: A small fungal genome with an increased cohort of genes associated with loss of virulence"
+ },
+ "description": "<p>Boxwood plants are affected by many different diseases caused by fungi. Some boxwood diseases are deadly and quickly kill the infected plants, but with others, the plant can survive and even thrive when infected. The fungus that causes volutella blight is the most common of these weak boxwood pathogens. Even the healthiest boxwood plants are infected by the volutella fungus, and often there are no signs that the plants are hurt by the infection. In order to understand why the volutella blight fungus is such a weak pathogen and to understand the genetic mechanisms it uses to interact with boxwood, the complete genome of the volutella fungus was sequenced and characterized. These datasets are generated from the genome sequence of <em>Pseudonectria foliicola</em>, strain ATCC13545, the fungus responsible for volutella disease of boxwood. Datasets include the nuclear genome and mitochondrial genome assemblies (sequenced using Illumina technology), the predicted gene model dataset generated using MAKER, the multiple sequence alignment of single-copy orthologs used for phylogenetic analysis, CMAP files generated from SimpleSynteny analysis of mitogenomes, and high quality photographic images. </p><div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: Ab initio gene prediction for the draft genome assembly of Pseudonectria foliicola ATCC 13545.</p> <p>File Name: Pfoliicola<em>makerRun.all</em>.maker<em>.proteins.txt</em></p><p><em>Resource Description: Ab initio gene prediction for the draft genome assembly of Pseudonectria foliicola ATCC 13545 was performed using the MAKER2 v.2.31.6 annotation pipeline. Gene training was performed according to the program documentation using SNAP and AUGUSTUS v.3.2.1 (Stanke et al. 2004) using Fusarium graminearum as a model organism.</em></p></li><em><br></em><li><em><p>Resource Title: SimpleSynteny CMAP file of Pseudonectria foliicola mitogenome.</p> </em><p><em>File Name: 1VB.cmap</em>.txt</p></li><br><li><p>Resource Title: SimpleSynteny CMAP file of Dactylonectria macrodidyma mitogenome.</p> <p>File Name: 2DM.cmap<em>.txt</em></p></li><em><br></em><li><em><p>Resource Title: SimpleSynteny CMAP file of Fusarium graminearum mitogenome.</p> </em><p><em>File Name: 3FG.cmap</em>.txt</p></li><br><li><p>Resource Title: Genome assembly of Pseudonectria foliicola ATCC 13545 .</p> <p>File Name: Volutella foliicola_ATCC13545_genome assembly.txt</p><p>Resource Description: The genome of <em>Pseudonectria foliicola</em> ATCC 13545 was sequenced on an Illumina MiSeq from gDNA used to construct a TruSeq Nano DNA LT Library. The library was sequenced on an Illumina MiSeq in two independent runs using paired-end 300-cycle reagent cartridge v.3 (Illumina, Inc.). Reads were processed and assembled using CLC Genomics Workbench version 7.5.1 (CLC Bio, Boston, MA, USA). Illumina adapters were trimmed and low quality reads (Phred score <0.05) were removed. Summary statistics for the draft genome were generated using CLC Genomics Workbench, PRINSEQ v.0.20.4 and QUAST. Completeness of the <em>P. foliicola</em> draft genome assembly was evaluated using BUSCO v.1.1b1 </p></li><br><li><p>Resource Title: Photograph of Pseudonectria foliicola growing from boxwood leaf.</p> <p>File Name: Pseudonectria_foliicola_leaf1.jpg</p></li><br><li><p>Resource Title: Photograph of Pseudonectria foliicola growing from boxwood leaf.</p> <p>File Name: Pseudonectria_foliicola_leaf2.jpg</p></li><br><li><p>Resource Title: Multiple sequence alignment of single-copy orthologs.</p> <p>File Name: All_OrthMCL2316_PHYLIP_alignment.txt</p><p>Resource Description: Fourteen publicly available fungal genomes were used to examine the phylogenetic placement of <em>Pseudonectria foliicola</em> through the analysis of single copy orthologous genes. For this analysis, the predicted proteomes of <em>Aspergillus nidulans</em> FGSC A4 (ASM114v1), <em>Botrytis cinerea</em> BcDW1 (Assembly GCA000349525), <em>Fusarium graminearum</em> PH-1 (GCA000240135), <em>Macrophomina phaseolina</em> MS6 (GCA000302655), <em>Magnaporthe oryzeae</em> 70-15 (MG8), <em>Neurospora crassa</em> (GCA000786625), <em>Penicillium oxalicum</em> 114-2 (GCA000346795), <em>Pyrenophora tritici-repentis</em> (GCA000149985), <em>Sclerotinia sclerotiorum</em> 1980 UF-70 (ASM1469v1), <em>Trichoderma reesei</em> RUT C-30 (GCA000513815), <em>Ustilago maydis</em> 521 (UM1), <em>Verticillium dahliae</em> JR2 (GCA000400815) and <em>Yarrowia lipolytica</em> CLIB122 (GCA000002525) were downloaded from the EnsemblFungi database (<a href=\"https://fungi.ensembl.org/index.html\">https://fungi.ensembl.org/index.html</a>). The genome of the <em>Dactylonectria macrodidyma</em> JAC15-245 (NCBI GenBank accession JYGD00000000 was downloaded and used to generate gene models using the program MAKER. The program OrthoMCL identified 16,356 gene clusters, from which 1,884 orthologous genes were shared across all 15 fungal species. From these shared gene clusters, 1,511 orthologous genes were found as single copy genes and used for the phylogenetic analysis. All proteomes were searched against each other using BLASTp and clustered in orthologous gene sets using OrthoMCL v1.4 in the iPLANT Discovery Environment. Single copy genes found in all 15 fungal proteomes were extracted from the orthologous dataset and amino acid alignments were performed using MUSCLE v3.8.31. Gblocks v.0.91b was used to remove ambiguously aligned regions using less stringent settings. The final aligned dataset after removal of ambiguously aligned regions consists of 388.7 Mb. The alignment is provided in PHYLIP format.</p></li></ul><p></p>",
+ "distribution_titles": [
+ "Pfoliicola_makerRun.all_.maker_.proteins.txt",
+ "Volutella foliicola_ATCC13545_genome assembly.txt",
+ "All_OrthMCL2316_PHYLIP_alignment.txt",
+ "1VB.cmap_.txt",
+ "2DM.cmap_.txt",
+ "3FG.cmap_.txt",
+ "Pseudonectria_foliicola_leaf1.jpg",
+ "Pseudonectria_foliicola_leaf2.jpg"
+ ],
+ "harvest_record": "https://catalog.data.gov/harvest_record/9493eafd-d9cd-407d-936f-7430cb8c6470",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/9493eafd-d9cd-407d-936f-7430cb8c6470/raw",
+ "has_download": true,
+ "has_spatial": false,
+ "identifier": "10.15482/USDA.ADC/1408094",
+ "keyword": [
+ "ARS",
+ "Ascomycota",
+ "NP303",
+ "boxwood",
+ "data.gov",
+ "fungi",
+ "genome assembly",
+ "mitochondrial DNA",
+ "nectriaceae",
+ "ornamental plant",
+ "pathogen",
+ "plant pathogens"
+ ],
+ "last_harvested_date": "2026-10-08T22:44:26.510775",
+ "organization": {
+ "aliases": [
+ "dept"
+ ],
+ "code_repo_exempt": false,
+ "code_repo_url": null,
+ "description": null,
+ "id": "352b4532-793d-4075-a03f-05b778a3c43a",
+ "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/usda.png",
+ "name": "Department of Agriculture",
+ "organization_type": "Federal Government",
+ "slug": "usda"
+ },
+ "parent_identifier": null,
+ "popularity": 3,
+ "publisher": "Agricultural Research Service",
+ "slug": "genome-analysis-of-the-ubiquitous-boxwood-pathogen-pseudonectria-foliicola-a-small-fungal-",
+ "spatial_centroid": null,
+ "spatial_shape": null,
+ "theme": [],
+ "title": "Genome analysis of the ubiquitous boxwood pathogen Pseudonectria foliicola: A small fungal genome with an increased cohort of genes associated with loss of virulence",
+ "type": "dataset"
+ },
+ {
+ "_score": 27.600029,
+ "_sort": [
+ 1791499457302,
+ 27.600029,
+ 1,
+ "739ddaaf-a293-4792-9889-11f4044641cc"
+ ],
+ "access_level": "public",
+ "dcat": {
+ "@type": "dcat:Dataset",
+ "accessLevel": "public",
+ "accessRights": "public",
+ "bureauCode": [
+ "005:18"
+ ],
+ "contactPoint": {
+ "fn": "Lawrence-Dill, Carolyn J.",
+ "hasEmail": "mailto:triffid@iastate.edu"
+ },
+ "description": "<p>Phenotypic, genotypic, and environment data for the 2015 field season: The data is stored in <a href=\"http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/Carolyn_Lawrence_Dill_G2F_Mar_2017\">CyVerse</a>.</p>\n<p>Data types in this directory tree are: hybrid and inbred agronomic and performance traits; inbred genotypic data; and environmental (soil, weather) data collected from the Genomes To Fields (G2F) project cooperators. G2F is an umbrella initiative to support translation of maize (<em>Zea mays</em>) genomic information for the benefit of growers, consumers and society. This public-private partnership is building on publicly funded corn genome sequencing projects to develop approaches to understand the functions of corn genes and specific alleles across environments. Ultimately this information will be used to enable accurate prediction of the phenotypes of corn plants in diverse environments. There are many dimensions to the over-arching goal of understanding genotype-by-environment (GxE) interactions, including which genes impact which traits and trait components, how genes interact among themselves (GxG), the relevance of specific genes under different growing conditions, and how these genes influence plant growth during various stages of development. </p><div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: CyVerse Genomes To Fields 2015 dataset download.</p> <p>File Name: Web Page, url: <a href=\"http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/Carolyn_Lawrence_Dill_G2F_Mar_2017\">http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/Carolyn_Lawrence_Dill_G2F_Mar_2017</a> </p><p>Dataset (csv) and metadata (BibTex, Endnote) data downloads. See _readme.txt for file contents.</p></li></ul><p></p>",
+ "distribution": [
+ {
+ "@type": "dcat:Distribution",
+ "downloadURL": "http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/Carolyn_Lawrence_Dill_G2F_Mar_2017",
+ "license": "https://www.usa.gov/publicdomain/label/1.0/",
+ "mediaType": "text/html",
+ "title": "http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/Carolyn_Lawrence_Dill_G2F_Mar_2017"
+ }
+ ],
+ "identifier": "10.7946/P24S31",
+ "keyword": [
+ "ARS",
+ "G2F",
+ "Genomes To Fields",
+ "Genomes by Environment",
+ "GxE",
+ "NP301",
+ "data.gov"
+ ],
+ "license": "https://www.usa.gov/publicdomain/label/1.0/",
+ "modified": "2023-12-18",
+ "programCode": [
+ "005:040"
+ ],
+ "publisher": {
+ "@type": "org:Organization",
+ "name": "Agricultural Research Service"
+ },
+ "title": "Genomes To Fields 2015"
+ },
+ "description": "<p>Phenotypic, genotypic, and environment data for the 2015 field season: The data is stored in <a href=\"http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/Carolyn_Lawrence_Dill_G2F_Mar_2017\">CyVerse</a>.</p>\n<p>Data types in this directory tree are: hybrid and inbred agronomic and performance traits; inbred genotypic data; and environmental (soil, weather) data collected from the Genomes To Fields (G2F) project cooperators. G2F is an umbrella initiative to support translation of maize (<em>Zea mays</em>) genomic information for the benefit of growers, consumers and society. This public-private partnership is building on publicly funded corn genome sequencing projects to develop approaches to understand the functions of corn genes and specific alleles across environments. Ultimately this information will be used to enable accurate prediction of the phenotypes of corn plants in diverse environments. There are many dimensions to the over-arching goal of understanding genotype-by-environment (GxE) interactions, including which genes impact which traits and trait components, how genes interact among themselves (GxG), the relevance of specific genes under different growing conditions, and how these genes influence plant growth during various stages of development. </p><div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: CyVerse Genomes To Fields 2015 dataset download.</p> <p>File Name: Web Page, url: <a href=\"http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/Carolyn_Lawrence_Dill_G2F_Mar_2017\">http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/Carolyn_Lawrence_Dill_G2F_Mar_2017</a> </p><p>Dataset (csv) and metadata (BibTex, Endnote) data downloads. See _readme.txt for file contents.</p></li></ul><p></p>",
+ "distribution_titles": [
+ "http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/Carolyn_Lawrence_Dill_G2F_Mar_2017"
+ ],
+ "harvest_record": "https://catalog.data.gov/harvest_record/ab34f349-7da0-4264-ab5b-e00bbdc7682f",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/ab34f349-7da0-4264-ab5b-e00bbdc7682f/raw",
+ "has_download": true,
+ "has_spatial": false,
+ "identifier": "10.7946/P24S31",
+ "keyword": [
+ "ARS",
+ "G2F",
+ "Genomes To Fields",
+ "Genomes by Environment",
+ "GxE",
+ "NP301",
+ "data.gov"
+ ],
+ "last_harvested_date": "2026-10-08T22:44:17.302363",
+ "organization": {
+ "aliases": [
+ "dept"
+ ],
+ "code_repo_exempt": false,
+ "code_repo_url": null,
+ "description": null,
+ "id": "352b4532-793d-4075-a03f-05b778a3c43a",
+ "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/usda.png",
+ "name": "Department of Agriculture",
+ "organization_type": "Federal Government",
+ "slug": "usda"
+ },
+ "parent_identifier": null,
+ "popularity": 1,
+ "publisher": "Agricultural Research Service",
+ "slug": "genomes-to-fields-2015",
+ "spatial_centroid": null,
+ "spatial_shape": null,
+ "theme": [],
+ "title": "Genomes To Fields 2015",
+ "type": "dataset"
+ },
+ {
+ "_score": 27.617226,
+ "_sort": [
+ 1791499456738,
+ 27.617226,
+ 6,
+ "ade02f5d-3f0c-482f-b19c-4e6f4d965b10"
+ ],
+ "access_level": "public",
+ "dcat": {
+ "@type": "dcat:Dataset",
+ "accessLevel": "public",
+ "accessRights": "public",
+ "bureauCode": [
+ "005:18"
+ ],
+ "contactPoint": {
+ "fn": "Lawrence-Dill, Carolyn J.",
+ "hasEmail": "mailto:triffid@iastate.edu"
+ },
+ "description": "<p>Phenotypic, genotypic, and environment data for the 2016 field season: The data is stored in <a href=\"http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/GenomesToFields_G2F_2016_Data_Mar_2018\">CyVerse</a>.</p>\n<p>Data types in this directory tree are: hybrid and inbred agronomic and performance traits; inbred genotypic data; and environmental (soil, weather) data collected from the Genomes To Fields (G2F) project cooperators. G2F is an umbrella initiative to support translation of maize (<em>Zea mays</em>) genomic information for the benefit of growers, consumers and society. This public-private partnership is building on publicly funded corn genome sequencing projects to develop approaches to understand the functions of corn genes and specific alleles across environments. Ultimately this information will be used to enable accurate prediction of the phenotypes of corn plants in diverse environments. There are many dimensions to the over-arching goal of understanding genotype-by-environment (GxE) interactions, including which genes impact which traits and trait components, how genes interact among themselves (GxG), the relevance of specific genes under different growing conditions, and how these genes influence plant growth during various stages of development. </p><div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: CyVerse Genomes To Fields 2016 dataset download.</p> <p>File Name: Web Page, url: <a href=\"http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/GenomesToFields_G2F_2016_Data_Mar_2018\">http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/GenomesToFields_G2F_2016_Data_Mar_2018</a> </p><p>Dataset (csv) and metadata (BibTex, Endnote) data downloads. See _readme.txt for file contents.</p></li></ul><p></p>",
+ "distribution": [
+ {
+ "@type": "dcat:Distribution",
+ "downloadURL": "http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/GenomesToFields_G2F_2016_Data_Mar_2018",
+ "license": "https://www.usa.gov/publicdomain/label/1.0/",
+ "mediaType": "text/html",
+ "title": "http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/GenomesToFields_G2F_2016_Data_Mar_2018"
+ }
+ ],
+ "identifier": "10113/AA21641",
+ "keyword": [
+ "ARS",
+ "G2F",
+ "Genomes To Fields",
+ "Genomes by Environment",
+ "GxE",
+ "NP301",
+ "data.gov"
+ ],
+ "license": "https://www.usa.gov/publicdomain/label/1.0/",
+ "modified": "2023-12-18",
+ "programCode": [
+ "005:040"
+ ],
+ "publisher": {
+ "@type": "org:Organization",
+ "name": "Agricultural Research Service"
+ },
+ "title": "Genomes To Fields 2016"
+ },
+ "description": "<p>Phenotypic, genotypic, and environment data for the 2016 field season: The data is stored in <a href=\"http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/GenomesToFields_G2F_2016_Data_Mar_2018\">CyVerse</a>.</p>\n<p>Data types in this directory tree are: hybrid and inbred agronomic and performance traits; inbred genotypic data; and environmental (soil, weather) data collected from the Genomes To Fields (G2F) project cooperators. G2F is an umbrella initiative to support translation of maize (<em>Zea mays</em>) genomic information for the benefit of growers, consumers and society. This public-private partnership is building on publicly funded corn genome sequencing projects to develop approaches to understand the functions of corn genes and specific alleles across environments. Ultimately this information will be used to enable accurate prediction of the phenotypes of corn plants in diverse environments. There are many dimensions to the over-arching goal of understanding genotype-by-environment (GxE) interactions, including which genes impact which traits and trait components, how genes interact among themselves (GxG), the relevance of specific genes under different growing conditions, and how these genes influence plant growth during various stages of development. </p><div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: CyVerse Genomes To Fields 2016 dataset download.</p> <p>File Name: Web Page, url: <a href=\"http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/GenomesToFields_G2F_2016_Data_Mar_2018\">http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/GenomesToFields_G2F_2016_Data_Mar_2018</a> </p><p>Dataset (csv) and metadata (BibTex, Endnote) data downloads. See _readme.txt for file contents.</p></li></ul><p></p>",
+ "distribution_titles": [
+ "http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/GenomesToFields_G2F_2016_Data_Mar_2018"
+ ],
+ "harvest_record": "https://catalog.data.gov/harvest_record/c568b465-a327-435c-8c74-7ba3cdfa8a90",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/c568b465-a327-435c-8c74-7ba3cdfa8a90/raw",
+ "has_download": true,
+ "has_spatial": false,
+ "identifier": "10113/AA21641",
+ "keyword": [
+ "ARS",
+ "G2F",
+ "Genomes To Fields",
+ "Genomes by Environment",
+ "GxE",
+ "NP301",
+ "data.gov"
+ ],
+ "last_harvested_date": "2026-10-08T22:44:16.738125",
+ "organization": {
+ "aliases": [
+ "dept"
+ ],
+ "code_repo_exempt": false,
+ "code_repo_url": null,
+ "description": null,
+ "id": "352b4532-793d-4075-a03f-05b778a3c43a",
+ "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/usda.png",
+ "name": "Department of Agriculture",
+ "organization_type": "Federal Government",
+ "slug": "usda"
+ },
+ "parent_identifier": null,
+ "popularity": 6,
+ "publisher": "Agricultural Research Service",
+ "slug": "genomes-to-fields-2016",
+ "spatial_centroid": null,
+ "spatial_shape": null,
+ "theme": [],
+ "title": "Genomes To Fields 2016",
+ "type": "dataset"
+ },
+ {
+ "_score": 27.7623,
+ "_sort": [
+ 1791499454860,
+ 27.7623,
+ 2,
+ "27093818-d8a0-413e-9247-c03b83207278"
+ ],
+ "access_level": "public",
+ "dcat": {
+ "@type": "dcat:Dataset",
+ "accessLevel": "public",
+ "accessRights": "public",
+ "bureauCode": [
+ "005:18"
+ ],
+ "contactPoint": {
+ "fn": "Lawrence-Dill, Carolyn J.",
+ "hasEmail": "mailto:triffid@iastate.edu"
+ },
+ "description": "<p>Phenotypic, genotypic, and environment data for the 2014 field season: The data is stored in <a href=\"http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/Carolyn_Lawrence_Dill_G2F_Nov_2016_V.3\">CyVerse</a>.</p>\n<p>Data types in this directory tree are: dimension and width profile data collected from scanned images of ears, cobs, and kernels collected from the Genomes To Fields (G2F) project cooperators. G2F is an umbrella initiative to support translation of maize (<em>Zea mays</em>) genomic information for the benefit of growers, consumers and society. This public-private partnership is building on publicly funded corn genome sequencing projects to develop approaches to understand the functions of corn genes and specific alleles across environments. Ultimately this information will be used to enable accurate prediction of the phenotypes of corn plants in diverse environments. There are many dimensions to the over-arching goal of understanding genotype-by-environment (GxE) interactions, including which genes impact which traits and trait components, how genes interact among themselves (GxG), the relevance of specific genes under different growing conditions, and how these genes influence plant growth during various stages of development. </p><div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: CyVerse Genomes To Fields 2014 dataset download.</p> <p>File Name: Web Page, url: <a href=\"http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/Carolyn_Lawrence_Dill_G2F_Nov_2016_V.3\">http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/Carolyn_Lawrence_Dill_G2F_Nov_2016_V.3</a> </p><p>Dataset (csv, h5, gz) and metadata (BibTex/Endnote) downloads. See _readme.txt for file contents.</p></li></ul><p></p>",
+ "distribution": [
+ {
+ "@type": "dcat:Distribution",
+ "downloadURL": "http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/Carolyn_Lawrence_Dill_G2F_Nov_2016_V.3",
+ "license": "https://www.usa.gov/publicdomain/label/1.0/",
+ "mediaType": "text/html",
+ "title": "http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/Carolyn_Lawrence_Dill_G2F_Nov_2016_V.3"
+ }
+ ],
+ "identifier": "10.7946/P2V888",
+ "keyword": [
+ "ARS",
+ "G2F",
+ "Genomes To Fields",
+ "Genomes by Environment",
+ "GxE",
+ "NP301",
+ "data.gov"
+ ],
+ "license": "https://www.usa.gov/publicdomain/label/1.0/",
+ "modified": "2023-12-18",
+ "programCode": [
+ "005:040"
+ ],
+ "publisher": {
+ "@type": "org:Organization",
+ "name": "Agricultural Research Service"
+ },
+ "title": "Genomes To Fields 2014"
+ },
+ "description": "<p>Phenotypic, genotypic, and environment data for the 2014 field season: The data is stored in <a href=\"http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/Carolyn_Lawrence_Dill_G2F_Nov_2016_V.3\">CyVerse</a>.</p>\n<p>Data types in this directory tree are: dimension and width profile data collected from scanned images of ears, cobs, and kernels collected from the Genomes To Fields (G2F) project cooperators. G2F is an umbrella initiative to support translation of maize (<em>Zea mays</em>) genomic information for the benefit of growers, consumers and society. This public-private partnership is building on publicly funded corn genome sequencing projects to develop approaches to understand the functions of corn genes and specific alleles across environments. Ultimately this information will be used to enable accurate prediction of the phenotypes of corn plants in diverse environments. There are many dimensions to the over-arching goal of understanding genotype-by-environment (GxE) interactions, including which genes impact which traits and trait components, how genes interact among themselves (GxG), the relevance of specific genes under different growing conditions, and how these genes influence plant growth during various stages of development. </p><div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: CyVerse Genomes To Fields 2014 dataset download.</p> <p>File Name: Web Page, url: <a href=\"http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/Carolyn_Lawrence_Dill_G2F_Nov_2016_V.3\">http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/Carolyn_Lawrence_Dill_G2F_Nov_2016_V.3</a> </p><p>Dataset (csv, h5, gz) and metadata (BibTex/Endnote) downloads. See _readme.txt for file contents.</p></li></ul><p></p>",
+ "distribution_titles": [
+ "http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/Carolyn_Lawrence_Dill_G2F_Nov_2016_V.3"
+ ],
+ "harvest_record": "https://catalog.data.gov/harvest_record/140a64fa-6a71-42a8-8c9e-81dbe338ff3c",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/140a64fa-6a71-42a8-8c9e-81dbe338ff3c/raw",
+ "has_download": true,
+ "has_spatial": false,
+ "identifier": "10.7946/P2V888",
+ "keyword": [
+ "ARS",
+ "G2F",
+ "Genomes To Fields",
+ "Genomes by Environment",
+ "GxE",
+ "NP301",
+ "data.gov"
+ ],
+ "last_harvested_date": "2026-10-08T22:44:14.860531",
+ "organization": {
+ "aliases": [
+ "dept"
+ ],
+ "code_repo_exempt": false,
+ "code_repo_url": null,
+ "description": null,
+ "id": "352b4532-793d-4075-a03f-05b778a3c43a",
+ "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/usda.png",
+ "name": "Department of Agriculture",
+ "organization_type": "Federal Government",
+ "slug": "usda"
+ },
+ "parent_identifier": null,
+ "popularity": 2,
+ "publisher": "Agricultural Research Service",
+ "slug": "genomes-to-fields-2014",
+ "spatial_centroid": null,
+ "spatial_shape": null,
+ "theme": [],
+ "title": "Genomes To Fields 2014",
+ "type": "dataset"
+ },
+ {
+ "_score": 21.74274,
+ "_sort": [
+ 1791499449759,
+ 21.74274,
+ 1,
+ "c2f0ca86-d3c8-493f-a671-ce3c066498fa"
+ ],
+ "access_level": "public",
+ "dcat": {
+ "@type": "dcat:Dataset",
+ "accessLevel": "public",
+ "accessRights": "public",
+ "bureauCode": [
+ "005:18"
+ ],
+ "contactPoint": {
+ "fn": "Spalding, Edgar",
+ "hasEmail": "mailto:spalding@wisc.edu"
+ },
+ "description": "<p>A subset of ~30 inbreds were evaluated in 2014 and 2015 to develop an image based ear phenotyping tool. The data is stored in <a href=\"http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/Edgar_Spalding_G2F_Inbred_Ear_Imaging_June_2017\">CyVerse</a>.</p>\n<p>Data types in this directory tree are: dimension and width profile data collected from scanned images of ears, cobs, and kernels collected from the Genomes To Fields (G2F) project cooperators. G2F is an umbrella initiative to support translation of maize (<em>Zea mays</em>) genomic information for the benefit of growers, consumers and society. This public-private partnership is building on publicly funded corn genome sequencing projects to develop approaches to understand the functions of corn genes and specific alleles across environments. Ultimately this information will be used to enable accurate prediction of the phenotypes of corn plants in diverse environments. There are many dimensions to the over-arching goal of understanding genotype-by-environment (GxE) interactions, including which genes impact which traits and trait components, how genes interact among themselves (GxG), the relevance of specific genes under different growing conditions, and how these genes influence plant growth during various stages of development. </p><div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: CyVerse Genomes To Fields Inbred Ear Imaging 2017 dataset download.</p> <p>File Name: Web Page, url: <a href=\"http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/Edgar_Spalding_G2F_Inbred_Ear_Imaging_June_2017\">http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/Edgar_Spalding_G2F_Inbred_Ear_Imaging_June_2017</a> </p><p>Dataset (csv, tar.gz) and metadata (BibTex/Endnote) downloads. See _readme.txt for file contents.</p></li></ul><p></p>",
+ "distribution": [
+ {
+ "@type": "dcat:Distribution",
+ "downloadURL": "http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/Edgar_Spalding_G2F_Inbred_Ear_Imaging_June_2017",
+ "license": "https://www.usa.gov/publicdomain/label/1.0/",
+ "mediaType": "text/html",
+ "title": "http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/Edgar_Spalding_G2F_Inbred_Ear_Imaging_June_2017"
+ }
+ ],
+ "identifier": "10.7946/P2C34P",
+ "keyword": [
+ "ARS",
+ "G2F",
+ "Genomes To Fields",
+ "Genomes by Environment",
+ "GxE",
+ "NP301",
+ "data.gov"
+ ],
+ "license": "https://www.usa.gov/publicdomain/label/1.0/",
+ "modified": "2023-12-18",
+ "programCode": [
+ "005:040"
+ ],
+ "publisher": {
+ "@type": "org:Organization",
+ "name": "Agricultural Research Service"
+ },
+ "title": "Genomes To Fields (G2F) Inbred Ear Imaging Data 2017"
+ },
+ "description": "<p>A subset of ~30 inbreds were evaluated in 2014 and 2015 to develop an image based ear phenotyping tool. The data is stored in <a href=\"http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/Edgar_Spalding_G2F_Inbred_Ear_Imaging_June_2017\">CyVerse</a>.</p>\n<p>Data types in this directory tree are: dimension and width profile data collected from scanned images of ears, cobs, and kernels collected from the Genomes To Fields (G2F) project cooperators. G2F is an umbrella initiative to support translation of maize (<em>Zea mays</em>) genomic information for the benefit of growers, consumers and society. This public-private partnership is building on publicly funded corn genome sequencing projects to develop approaches to understand the functions of corn genes and specific alleles across environments. Ultimately this information will be used to enable accurate prediction of the phenotypes of corn plants in diverse environments. There are many dimensions to the over-arching goal of understanding genotype-by-environment (GxE) interactions, including which genes impact which traits and trait components, how genes interact among themselves (GxG), the relevance of specific genes under different growing conditions, and how these genes influence plant growth during various stages of development. </p><div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: CyVerse Genomes To Fields Inbred Ear Imaging 2017 dataset download.</p> <p>File Name: Web Page, url: <a href=\"http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/Edgar_Spalding_G2F_Inbred_Ear_Imaging_June_2017\">http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/Edgar_Spalding_G2F_Inbred_Ear_Imaging_June_2017</a> </p><p>Dataset (csv, tar.gz) and metadata (BibTex/Endnote) downloads. See _readme.txt for file contents.</p></li></ul><p></p>",
+ "distribution_titles": [
+ "http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/Edgar_Spalding_G2F_Inbred_Ear_Imaging_June_2017"
+ ],
+ "harvest_record": "https://catalog.data.gov/harvest_record/6a841334-e384-4a23-835c-7e57c8303950",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/6a841334-e384-4a23-835c-7e57c8303950/raw",
+ "has_download": true,
+ "has_spatial": false,
+ "identifier": "10.7946/P2C34P",
+ "keyword": [
+ "ARS",
+ "G2F",
+ "Genomes To Fields",
+ "Genomes by Environment",
+ "GxE",
+ "NP301",
+ "data.gov"
+ ],
+ "last_harvested_date": "2026-10-08T22:44:09.759756",
+ "organization": {
+ "aliases": [
+ "dept"
+ ],
+ "code_repo_exempt": false,
+ "code_repo_url": null,
+ "description": null,
+ "id": "352b4532-793d-4075-a03f-05b778a3c43a",
+ "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/usda.png",
+ "name": "Department of Agriculture",
+ "organization_type": "Federal Government",
+ "slug": "usda"
+ },
+ "parent_identifier": null,
+ "popularity": 1,
+ "publisher": "Agricultural Research Service",
+ "slug": "genomes-to-fields-g2f-inbred-ear-imaging-data-2017",
+ "spatial_centroid": null,
+ "spatial_shape": null,
+ "theme": [],
+ "title": "Genomes To Fields (G2F) Inbred Ear Imaging Data 2017",
+ "type": "dataset"
+ },
+ {
+ "_score": 10.7409115,
+ "_sort": [
+ 1791499439619,
+ 10.7409115,
+ 1,
+ "a7162c1e-aa02-44cf-b9e1-688da395df04"
+ ],
+ "access_level": "public",
+ "dcat": {
+ "@type": "dcat:Dataset",
+ "accessLevel": "public",
+ "accessRights": "public",
+ "bureauCode": [
+ "005:18"
+ ],
+ "contactPoint": {
+ "fn": "Manter, Daniel",
+ "hasEmail": "mailto:daniel.manter@ars.usda.gov"
+ },
+ "description": "<p>myPhyloDB is an open-source software package aimed at developing a user-friendly web-interface for accessing and analyzing all of your laboratory's microbial ecology data (currently supported project types: soil, air, water, microbial, and human-associated). The storage and handling capabilities of myPhyloDB archives users' raw sequencing files, and allows for easy selection of any combination of projects/samples from all of your projects using the built-in SQL database. The data processing capabilities of myPhyloDB are also flexible enough to allow the upload, storage, and analysis of pre-processed data or raw (454 or Illumina) data files using the built-in versions of Mothur and R. myPhyloDB is designed to run as a local web-server, which allows a single installation to be accessible to all of your laboratory members, regardless of their operating system or other hardware limitations. myPhyloDB includes an embedded copy of the popular Mothur program and uses a customizable batch file to perform sequence editing and processing. This allows myPhyloDB to leverage the flexibility of Mothur and allow for greater standardization of data processing and handling across all of your sequencing projects. </p>\n<p>myPhyloDB also includes an embedded copy of the R software environment for a variety of statistical analyses and graphics. Currently, myPhyloDB includes analysis for factor or regression-based ANcOVA, principal coordinates analysis (PCoA), differential abundance analysis (DESeq), and sparse partial least-squares regression (sPLS). </p><div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: Website Pointer to myPhyloDB.</p> <p>File Name: Web Page, url: <a href=\"https://myphylodb.azurecloudgov.us/myPhyloDB/home/\">https://myphylodb.azurecloudgov.us/myPhyloDB/home/</a> </p><p>Provides information and links to download latest version, release history, documentation, and tutorials including type of analysis you would like to perform (Univariate: ANCOVA/GLM; Multivariate: DiffAbund, PcoA, or sPLS). </p></li></ul><p></p>",
+ "distribution": [
+ {
+ "@type": "dcat:Distribution",
+ "downloadURL": "https://myphylodb.azurecloudgov.us/myPhyloDB/home/",
+ "license": "https://www.usa.gov/publicdomain/label/1.0/",
+ "mediaType": "text/html",
+ "title": "https://myphylodb.azurecloudgov.us/myPhyloDB/home/"
+ }
+ ],
+ "identifier": "10113/AA21877",
+ "keyword": [
+ "ARS",
+ "Agricultural Research Service",
+ "NP211",
+ "NP212",
+ "Online database",
+ "data.gov",
+ "myPhyloDB"
+ ],
+ "license": "https://www.usa.gov/publicdomain/label/1.0/",
+ "modified": "2023-11-30",
+ "programCode": [
+ "005:040"
+ ],
+ "publisher": {
+ "@type": "org:Organization",
+ "name": "Agricultural Research Service"
+ },
+ "title": "myPhyloDB"
+ },
+ "description": "<p>myPhyloDB is an open-source software package aimed at developing a user-friendly web-interface for accessing and analyzing all of your laboratory's microbial ecology data (currently supported project types: soil, air, water, microbial, and human-associated). The storage and handling capabilities of myPhyloDB archives users' raw sequencing files, and allows for easy selection of any combination of projects/samples from all of your projects using the built-in SQL database. The data processing capabilities of myPhyloDB are also flexible enough to allow the upload, storage, and analysis of pre-processed data or raw (454 or Illumina) data files using the built-in versions of Mothur and R. myPhyloDB is designed to run as a local web-server, which allows a single installation to be accessible to all of your laboratory members, regardless of their operating system or other hardware limitations. myPhyloDB includes an embedded copy of the popular Mothur program and uses a customizable batch file to perform sequence editing and processing. This allows myPhyloDB to leverage the flexibility of Mothur and allow for greater standardization of data processing and handling across all of your sequencing projects. </p>\n<p>myPhyloDB also includes an embedded copy of the R software environment for a variety of statistical analyses and graphics. Currently, myPhyloDB includes analysis for factor or regression-based ANcOVA, principal coordinates analysis (PCoA), differential abundance analysis (DESeq), and sparse partial least-squares regression (sPLS). </p><div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: Website Pointer to myPhyloDB.</p> <p>File Name: Web Page, url: <a href=\"https://myphylodb.azurecloudgov.us/myPhyloDB/home/\">https://myphylodb.azurecloudgov.us/myPhyloDB/home/</a> </p><p>Provides information and links to download latest version, release history, documentation, and tutorials including type of analysis you would like to perform (Univariate: ANCOVA/GLM; Multivariate: DiffAbund, PcoA, or sPLS). </p></li></ul><p></p>",
+ "distribution_titles": [
+ "https://myphylodb.azurecloudgov.us/myPhyloDB/home/"
+ ],
+ "harvest_record": "https://catalog.data.gov/harvest_record/6da66e51-8716-42e1-bddb-8debd9ac47cc",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/6da66e51-8716-42e1-bddb-8debd9ac47cc/raw",
+ "has_download": true,
+ "has_spatial": false,
+ "identifier": "10113/AA21877",
+ "keyword": [
+ "ARS",
+ "Agricultural Research Service",
+ "NP211",
+ "NP212",
+ "Online database",
+ "data.gov",
+ "myPhyloDB"
+ ],
+ "last_harvested_date": "2026-10-08T22:43:59.619295",
+ "organization": {
+ "aliases": [
+ "dept"
+ ],
+ "code_repo_exempt": false,
+ "code_repo_url": null,
+ "description": null,
+ "id": "352b4532-793d-4075-a03f-05b778a3c43a",
+ "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/usda.png",
+ "name": "Department of Agriculture",
+ "organization_type": "Federal Government",
+ "slug": "usda"
+ },
+ "parent_identifier": null,
+ "popularity": 1,
+ "publisher": "Agricultural Research Service",
+ "slug": "myphylodb",
+ "spatial_centroid": null,
+ "spatial_shape": null,
+ "theme": [],
+ "title": "myPhyloDB",
+ "type": "dataset"
+ },
+ {
+ "_score": 13.9757595,
+ "_sort": [
+ 1791499433952,
+ 13.9757595,
+ 1,
+ "537b80b6-cb4a-48b2-ac68-b4cab9a15616"
+ ],
+ "access_level": "public",
+ "dcat": {
+ "@type": "dcat:Dataset",
+ "accessLevel": "public",
+ "accessRights": "public",
+ "bureauCode": [
+ "005:18"
+ ],
+ "contactPoint": {
+ "fn": "Pachepsky, Yakov",
+ "hasEmail": "mailto:Yakov.Pachepsky@ars.usda.gov"
+ },
+ "description": "<p>2D finite element water, solute, and heat mover model for plant models.</p>\n<p>Most crops are grown in rows and this introduces spatial variability in soil processes with respect to the row. However, this variability can be exploited to reduce chemical transport to groundwater or improve management of irrigation water. Unless a model can account for variability perpendicular to crop rows as well as vertically into the soil profile it will not be able to fully evaluate all possible management practices that can be used to make agriculture more efficient and less harmful to the environment. To address this concern we developed 2DSOIL, the first comprehensive, modular, two-dimensional soil simulator that can simulate the major physical, chemical and biological processes in soil. Fully implemented, principles of modular modeling facilitate the addition and replacement of modules, as well as the reuse of existing code. The modularity of 2DSOIL has been designed to make it easy to modify the model and to make it easy to incorporate into plant models. 2DSOIL was used to simulate the effect of several water and nitrogen management practices and was incorporated into ARS potato and cotton models, into the Root Zone Water Quality Model, and into the USGS Modular Modeling System. </p>",
+ "distribution": [],
+ "identifier": "10113/AA22745",
+ "keyword": [
+ "Root Zone Water Quality Model",
+ "computer software",
+ "cotton",
+ "crop models",
+ "crops",
+ "finite element analysis",
+ "groundwater",
+ "heat",
+ "interphase",
+ "irrigation management",
+ "irrigation water",
+ "models",
+ "nitrogen",
+ "potatoes",
+ "root growth",
+ "simulation models",
+ "soil",
+ "soil profiles",
+ "solutes"
+ ],
+ "license": "https://creativecommons.org/publicdomain/zero/1.0/",
+ "modified": "2024-02-15",
+ "programCode": [
+ "005:040"
+ ],
+ "publisher": {
+ "@type": "org:Organization",
+ "name": "Agricultural Research Service"
+ },
+ "title": "2DSOIL version 03"
+ },
+ "description": "<p>2D finite element water, solute, and heat mover model for plant models.</p>\n<p>Most crops are grown in rows and this introduces spatial variability in soil processes with respect to the row. However, this variability can be exploited to reduce chemical transport to groundwater or improve management of irrigation water. Unless a model can account for variability perpendicular to crop rows as well as vertically into the soil profile it will not be able to fully evaluate all possible management practices that can be used to make agriculture more efficient and less harmful to the environment. To address this concern we developed 2DSOIL, the first comprehensive, modular, two-dimensional soil simulator that can simulate the major physical, chemical and biological processes in soil. Fully implemented, principles of modular modeling facilitate the addition and replacement of modules, as well as the reuse of existing code. The modularity of 2DSOIL has been designed to make it easy to modify the model and to make it easy to incorporate into plant models. 2DSOIL was used to simulate the effect of several water and nitrogen management practices and was incorporated into ARS potato and cotton models, into the Root Zone Water Quality Model, and into the USGS Modular Modeling System. </p>",
+ "distribution_titles": [],
+ "harvest_record": "https://catalog.data.gov/harvest_record/e6d71f5c-c3ab-4598-8f5e-bbb97c424f23",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/e6d71f5c-c3ab-4598-8f5e-bbb97c424f23/raw",
+ "has_download": false,
+ "has_spatial": false,
+ "identifier": "10113/AA22745",
+ "keyword": [
+ "Root Zone Water Quality Model",
+ "computer software",
+ "cotton",
+ "crop models",
+ "crops",
+ "finite element analysis",
+ "groundwater",
+ "heat",
+ "interphase",
+ "irrigation management",
+ "irrigation water",
+ "models",
+ "nitrogen",
+ "potatoes",
+ "root growth",
+ "simulation models",
+ "soil",
+ "soil profiles",
+ "solutes"
+ ],
+ "last_harvested_date": "2026-10-08T22:43:53.952633",
+ "organization": {
+ "aliases": [
+ "dept"
+ ],
+ "code_repo_exempt": false,
+ "code_repo_url": null,
+ "description": null,
+ "id": "352b4532-793d-4075-a03f-05b778a3c43a",
+ "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/usda.png",
+ "name": "Department of Agriculture",
+ "organization_type": "Federal Government",
+ "slug": "usda"
+ },
+ "parent_identifier": null,
+ "popularity": 1,
+ "publisher": "Agricultural Research Service",
+ "slug": "2dsoil-version-03",
+ "spatial_centroid": null,
+ "spatial_shape": null,
+ "theme": [],
+ "title": "2DSOIL version 03",
+ "type": "dataset"
+ },
+ {
+ "_score": 16.810148,
+ "_sort": [
+ 1791499429908,
+ 16.810148,
+ 2,
+ "a102f2c9-ac2c-4245-ac7c-0acf50d09387"
+ ],
+ "access_level": "public",
+ "dcat": {
+ "@type": "dcat:Dataset",
+ "accessLevel": "public",
+ "accessRights": "public",
+ "bureauCode": [
+ "005:18"
+ ],
+ "contactPoint": {
+ "fn": "Timlin, Dennis",
+ "hasEmail": "mailto:Dennis.Timlin@usda.gov"
+ },
+ "description": "<p>GOSSYM is a dynamic, process-level simulation model of cotton growth and yield. GOSSYM essentially is a materials balance model which keeps track of carbon and nitrogen in the plant and water and nitrogen in the soil root zone. GOSSYM predicts the response of the field crop to variations in the environment and to cultural inputs. Specifically, the model responds to weather inputs of daily total solar radiation, maximum and minimum air temperatures, daily total wind run, and rainfall and/or irrigation amount. The model also responds to cultural inputs such as preplant and withinseason applications of nitrogen fertilizer, row spacing and within row plant density as they affect total plant population, and cultivation practices. </p>",
+ "distribution": [],
+ "identifier": "10113/AA22747",
+ "keyword": [
+ "air temperature",
+ "carbon",
+ "computer software",
+ "cotton",
+ "crop management",
+ "crop models",
+ "farms",
+ "field crops",
+ "irrigation rates",
+ "models",
+ "nitrogen",
+ "nitrogen fertilizers",
+ "plant density",
+ "rain",
+ "rhizosphere",
+ "row spacing",
+ "simulation models",
+ "soil",
+ "solar radiation",
+ "weather",
+ "wind"
+ ],
+ "license": "https://creativecommons.org/publicdomain/zero/1.0/",
+ "modified": "2024-02-15",
+ "programCode": [
+ "005:040"
+ ],
+ "publisher": {
+ "@type": "org:Organization",
+ "name": "Agricultural Research Service"
+ },
+ "title": "GOSSYM"
+ },
+ "description": "<p>GOSSYM is a dynamic, process-level simulation model of cotton growth and yield. GOSSYM essentially is a materials balance model which keeps track of carbon and nitrogen in the plant and water and nitrogen in the soil root zone. GOSSYM predicts the response of the field crop to variations in the environment and to cultural inputs. Specifically, the model responds to weather inputs of daily total solar radiation, maximum and minimum air temperatures, daily total wind run, and rainfall and/or irrigation amount. The model also responds to cultural inputs such as preplant and withinseason applications of nitrogen fertilizer, row spacing and within row plant density as they affect total plant population, and cultivation practices. </p>",
+ "distribution_titles": [],
+ "harvest_record": "https://catalog.data.gov/harvest_record/de8200a3-3da8-4a17-9a2b-495a7d4ef5f5",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/de8200a3-3da8-4a17-9a2b-495a7d4ef5f5/raw",
+ "has_download": false,
+ "has_spatial": false,
+ "identifier": "10113/AA22747",
+ "keyword": [
+ "air temperature",
+ "carbon",
+ "computer software",
+ "cotton",
+ "crop management",
+ "crop models",
+ "farms",
+ "field crops",
+ "irrigation rates",
+ "models",
+ "nitrogen",
+ "nitrogen fertilizers",
+ "plant density",
+ "rain",
+ "rhizosphere",
+ "row spacing",
+ "simulation models",
+ "soil",
+ "solar radiation",
+ "weather",
+ "wind"
+ ],
+ "last_harvested_date": "2026-10-08T22:43:49.908450",
+ "organization": {
+ "aliases": [
+ "dept"
+ ],
+ "code_repo_exempt": false,
+ "code_repo_url": null,
+ "description": null,
+ "id": "352b4532-793d-4075-a03f-05b778a3c43a",
+ "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/usda.png",
+ "name": "Department of Agriculture",
+ "organization_type": "Federal Government",
+ "slug": "usda"
+ },
+ "parent_identifier": null,
+ "popularity": 2,
+ "publisher": "Agricultural Research Service",
+ "slug": "gossym",
+ "spatial_centroid": null,
+ "spatial_shape": null,
+ "theme": [],
+ "title": "GOSSYM",
+ "type": "dataset"
+ },
+ {
+ "_score": 11.831516,
+ "_sort": [
+ 1791499424117,
+ 11.831516,
+ 2,
+ "1732f566-9546-4559-be01-0dd064a64b5e"
+ ],
+ "access_level": "public",
+ "dcat": {
+ "@type": "dcat:Dataset",
+ "accessLevel": "public",
+ "accessRights": "public",
+ "bureauCode": [
+ "005:18"
+ ],
+ "contactPoint": {
+ "fn": "Acosta-Martinez, Veronica",
+ "hasEmail": "mailto:Veronica.Acosta-Martinez@ars.usda.gov"
+ },
+ "description": "<p>To help enhance USA soil health, and ensure a robust living soil component that sustains essential functions for healthy plants, animals, and environment, and ultimately provides food for a healthy society, the GRACEnet Soil Biology group are working together with the larger USDA-ARS GRACEnet community to provide soil biology component measurements across regions and to eliminate data gaps for GRACEnet and REAP efforts. The Soil Biology group is focused on efforts that foster method comparison and meta-analyses to allow researchers to better assess soil biology and soil health indicators that are most responsive to agricultural management and that reflect the ecosystems services associated with a healthy, functioning soil.</p>\n<p>The GRACEnet Soil Biology mission is to produce the soil biology data, including methods of identifying and quantifying specific organisms and processes they govern, that are needed to evaluate impacts on agroecosystems and sustainable agricultural practices. This data collection effort is being accomplished in a highly structured manner to support current and future soil health and antimicrobial resistance research initiatives. The outcomes of the efforts of this team will provide a common biological data platform for several ARS databases, including: GRACEnet/REAP, Nutrient Use and Outcome Network (NUOnet), Long-Term Agroecosystem Research (LTAR) network, soil biology (e.g., MyPhyloDB) databases, and others.</p>\n<div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: Soil Biology Data Search.</p> <p>File Name: Web Page, url: <a href=\"https://agcros-usdaars.opendata.arcgis.com/datasets?group_ids=091b86e9e44a4e948ef2aeae3c916ca5\" target=\"_blank\">https://agcros-usdaars.opendata.arcgis.com/datasets?group_ids=091b86e9e44a4e948ef2aeae3c916ca5</a> </p></li></ul>",
+ "distribution": [
+ {
+ "@type": "dcat:Distribution",
+ "downloadURL": "https://agcros-usdaars.opendata.arcgis.com/datasets?group_ids=091b86e9e44a4e948ef2aeae3c916ca5",
+ "license": "https://creativecommons.org/publicdomain/zero/1.0/",
+ "mediaType": "text/html",
+ "title": "https://agcros-usdaars.opendata.arcgis.com/datasets?group_ids=091b86e9e44a4e948ef2aeae3c916ca5"
+ }
+ ],
+ "identifier": "10113/AA6236",
+ "keyword": [
+ "ARS",
+ "Agricultural Research Service",
+ "NP211",
+ "NP212",
+ "National Program 211",
+ "National Program 212",
+ "Natural Resource and Genomics Data Systems",
+ "Online database",
+ "Soil Biology",
+ "data.gov",
+ "soil health and resiliency"
+ ],
+ "license": "https://creativecommons.org/publicdomain/zero/1.0/",
+ "modified": "2024-02-16",
+ "programCode": [
+ "005:040"
+ ],
+ "publisher": {
+ "@type": "org:Organization",
+ "name": "Agricultural Research Service"
+ },
+ "title": "GRACEnet Soil Biology Network"
+ },
+ "description": "<p>To help enhance USA soil health, and ensure a robust living soil component that sustains essential functions for healthy plants, animals, and environment, and ultimately provides food for a healthy society, the GRACEnet Soil Biology group are working together with the larger USDA-ARS GRACEnet community to provide soil biology component measurements across regions and to eliminate data gaps for GRACEnet and REAP efforts. The Soil Biology group is focused on efforts that foster method comparison and meta-analyses to allow researchers to better assess soil biology and soil health indicators that are most responsive to agricultural management and that reflect the ecosystems services associated with a healthy, functioning soil.</p>\n<p>The GRACEnet Soil Biology mission is to produce the soil biology data, including methods of identifying and quantifying specific organisms and processes they govern, that are needed to evaluate impacts on agroecosystems and sustainable agricultural practices. This data collection effort is being accomplished in a highly structured manner to support current and future soil health and antimicrobial resistance research initiatives. The outcomes of the efforts of this team will provide a common biological data platform for several ARS databases, including: GRACEnet/REAP, Nutrient Use and Outcome Network (NUOnet), Long-Term Agroecosystem Research (LTAR) network, soil biology (e.g., MyPhyloDB) databases, and others.</p>\n<div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: Soil Biology Data Search.</p> <p>File Name: Web Page, url: <a href=\"https://agcros-usdaars.opendata.arcgis.com/datasets?group_ids=091b86e9e44a4e948ef2aeae3c916ca5\" target=\"_blank\">https://agcros-usdaars.opendata.arcgis.com/datasets?group_ids=091b86e9e44a4e948ef2aeae3c916ca5</a> </p></li></ul>",
+ "distribution_titles": [
+ "https://agcros-usdaars.opendata.arcgis.com/datasets?group_ids=091b86e9e44a4e948ef2aeae3c916ca5"
+ ],
+ "harvest_record": "https://catalog.data.gov/harvest_record/c243103c-678e-4f58-b42d-b844158c5350",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/c243103c-678e-4f58-b42d-b844158c5350/raw",
+ "has_download": true,
+ "has_spatial": false,
+ "identifier": "10113/AA6236",
+ "keyword": [
+ "ARS",
+ "Agricultural Research Service",
+ "NP211",
+ "NP212",
+ "National Program 211",
+ "National Program 212",
+ "Natural Resource and Genomics Data Systems",
+ "Online database",
+ "Soil Biology",
+ "data.gov",
+ "soil health and resiliency"
+ ],
+ "last_harvested_date": "2026-10-08T22:43:44.117336",
+ "organization": {
+ "aliases": [
+ "dept"
+ ],
+ "code_repo_exempt": false,
+ "code_repo_url": null,
+ "description": null,
+ "id": "352b4532-793d-4075-a03f-05b778a3c43a",
+ "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/usda.png",
+ "name": "Department of Agriculture",
+ "organization_type": "Federal Government",
+ "slug": "usda"
+ },
+ "parent_identifier": null,
+ "popularity": 2,
+ "publisher": "Agricultural Research Service",
+ "slug": "gracenet-soil-biology-network",
+ "spatial_centroid": null,
+ "spatial_shape": null,
+ "theme": [],
+ "title": "GRACEnet Soil Biology Network",
+ "type": "dataset"
+ },
+ {
+ "_score": 14.304199,
+ "_sort": [
+ 1791499413450,
+ 14.304199,
+ 6,
+ "96a1de33-bfed-43e8-ab83-4f465fc5baaf"
+ ],
+ "access_level": "public",
+ "dcat": {
+ "@type": "dcat:Dataset",
+ "accessLevel": "public",
+ "accessRights": "public",
+ "bureauCode": [
+ "005:18"
+ ],
+ "contactPoint": {
+ "fn": "Boldt, Jennifer",
+ "hasEmail": "mailto:Jennifer.Boldt@ars.usda.gov"
+ },
+ "description": "<p>PhotoSim: Leaf Photosynthesis Model for Floriculture Crops program models the photosynthetic response of 13 floriculture crops to light, temperature, or carbon dioxide (CO2) and allows users to estimate the impact of adjusting their greenhouse environment. You can predict the impact on photosynthesis for different management changes (shading, supplemental high pressure sodium lighting, CO2 injection,or heating or cooling). </p><div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: PhotoSim .</p> <p>File Name: Web Page, url: <a href=\"https://www.ars.usda.gov/midwest-area/wooster-oh/application-technology-research/docs/photosim-leaf-photosynthesis-model-for-floriculture-crops/\">https://www.ars.usda.gov/midwest-area/wooster-oh/application-technology-research/docs/photosim-leaf-photosynthesis-model-for-floriculture-crops/</a> </p><p>download page: <a href=\"https://www.ars.usda.gov/research/software/download/?softwareid=447\">https://www.ars.usda.gov/research/software/download/?softwareid=447</a></p></li></ul><p></p>",
+ "distribution": [
+ {
+ "@type": "dcat:Distribution",
+ "downloadURL": "https://www.ars.usda.gov/midwest-area/wooster-oh/application-technology-research/docs/photosim-leaf-photosynthesis-model-for-floriculture-crops/",
+ "license": "https://creativecommons.org/publicdomain/zero/1.0/",
+ "mediaType": "text/html",
+ "title": "https://www.ars.usda.gov/midwest-area/wooster-oh/application-technology-research/docs/photosim-leaf-photosynthesis-model-for-floriculture-crops/"
+ }
+ ],
+ "identifier": "10113/AA22676",
+ "keyword": [
+ "carbon dioxide",
+ "computer software",
+ "floriculture crops",
+ "greenhouses",
+ "heat",
+ "leaves",
+ "lighting",
+ "models",
+ "photosynthesis",
+ "shade",
+ "sodium",
+ "temperature"
+ ],
+ "license": "https://creativecommons.org/publicdomain/zero/1.0/",
+ "modified": "2023-11-30",
+ "programCode": [
+ "005:040"
+ ],
+ "publisher": {
+ "@type": "org:Organization",
+ "name": "Agricultural Research Service"
+ },
+ "title": "PhotoSim"
+ },
+ "description": "<p>PhotoSim: Leaf Photosynthesis Model for Floriculture Crops program models the photosynthetic response of 13 floriculture crops to light, temperature, or carbon dioxide (CO2) and allows users to estimate the impact of adjusting their greenhouse environment. You can predict the impact on photosynthesis for different management changes (shading, supplemental high pressure sodium lighting, CO2 injection,or heating or cooling). </p><div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: PhotoSim .</p> <p>File Name: Web Page, url: <a href=\"https://www.ars.usda.gov/midwest-area/wooster-oh/application-technology-research/docs/photosim-leaf-photosynthesis-model-for-floriculture-crops/\">https://www.ars.usda.gov/midwest-area/wooster-oh/application-technology-research/docs/photosim-leaf-photosynthesis-model-for-floriculture-crops/</a> </p><p>download page: <a href=\"https://www.ars.usda.gov/research/software/download/?softwareid=447\">https://www.ars.usda.gov/research/software/download/?softwareid=447</a></p></li></ul><p></p>",
+ "distribution_titles": [
+ "https://www.ars.usda.gov/midwest-area/wooster-oh/application-technology-research/docs/photosim-leaf-photosynthesis-model-for-floriculture-crops/"
+ ],
+ "harvest_record": "https://catalog.data.gov/harvest_record/a9f162ba-8ab6-4d26-b3bc-b71a7edbc49d",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/a9f162ba-8ab6-4d26-b3bc-b71a7edbc49d/raw",
+ "has_download": true,
+ "has_spatial": false,
+ "identifier": "10113/AA22676",
+ "keyword": [
+ "carbon dioxide",
+ "computer software",
+ "floriculture crops",
+ "greenhouses",
+ "heat",
+ "leaves",
+ "lighting",
+ "models",
+ "photosynthesis",
+ "shade",
+ "sodium",
+ "temperature"
+ ],
+ "last_harvested_date": "2026-10-08T22:43:33.450276",
+ "organization": {
+ "aliases": [
+ "dept"
+ ],
+ "code_repo_exempt": false,
+ "code_repo_url": null,
+ "description": null,
+ "id": "352b4532-793d-4075-a03f-05b778a3c43a",
+ "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/usda.png",
+ "name": "Department of Agriculture",
+ "organization_type": "Federal Government",
+ "slug": "usda"
+ },
+ "parent_identifier": null,
+ "popularity": 6,
+ "publisher": "Agricultural Research Service",
+ "slug": "photosim",
+ "spatial_centroid": null,
+ "spatial_shape": null,
+ "theme": [],
+ "title": "PhotoSim",
+ "type": "dataset"
+ },
+ {
+ "_score": 15.173632,
+ "_sort": [
+ 1791499401862,
+ 15.173632,
+ 3,
+ "561d99c8-ce77-41a7-a73f-19b3d9ea22c5"
+ ],
+ "access_level": "public",
+ "dcat": {
+ "@type": "dcat:Dataset",
+ "accessLevel": "public",
+ "accessRights": "public",
+ "bureauCode": [
+ "005:18"
+ ],
+ "contactPoint": {
+ "fn": "Skaggs, Todd",
+ "hasEmail": "mailto:Todd.Skaggs@ars.usda.gov"
+ },
+ "description": "<p>Geopack is a comprehensive, user-friendly software package containing several computer programs for carrying out geostatistical analyses of spatially correlated data. The programs were written so that they can be used by scientists, engineers or regulators with little experience in geostatistical techniques and still satisfy the requirements of more advanced users. Using the programs, and spending a little time becoming familiar with geostatistics, the end-user should be able to include the geostatistical techniques in their work and research environment. </p><div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: GEOPACK download page.</p> <p>File Name: Web Page, url: <a href=\"https://www.ars.usda.gov/research/software/download/?softwareid=95&modecode=20-36-15-00\">https://www.ars.usda.gov/research/software/download/?softwareid=95&modecode=20-36-15-00</a> </p></li></ul><p></p>",
+ "distribution": [
+ {
+ "@type": "dcat:Distribution",
+ "downloadURL": "https://www.ars.usda.gov/research/software/download/?softwareid=95&modecode=20-36-15-00",
+ "license": "https://creativecommons.org/publicdomain/zero/1.0/",
+ "mediaType": "text/html",
+ "title": "https://www.ars.usda.gov/research/software/download/?softwareid=95&modecode=20-36-15-00"
+ }
+ ],
+ "identifier": "10113/AA22503",
+ "keyword": [
+ "Natural Resources Earth and Environmental Sciences",
+ "computer software",
+ "geostatistics",
+ "models"
+ ],
+ "license": "https://creativecommons.org/publicdomain/zero/1.0/",
+ "modified": "2023-11-30",
+ "programCode": [
+ "005:040"
+ ],
+ "publisher": {
+ "@type": "org:Organization",
+ "name": "Agricultural Research Service"
+ },
+ "title": "GEOPACK"
+ },
+ "description": "<p>Geopack is a comprehensive, user-friendly software package containing several computer programs for carrying out geostatistical analyses of spatially correlated data. The programs were written so that they can be used by scientists, engineers or regulators with little experience in geostatistical techniques and still satisfy the requirements of more advanced users. Using the programs, and spending a little time becoming familiar with geostatistics, the end-user should be able to include the geostatistical techniques in their work and research environment. </p><div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: GEOPACK download page.</p> <p>File Name: Web Page, url: <a href=\"https://www.ars.usda.gov/research/software/download/?softwareid=95&modecode=20-36-15-00\">https://www.ars.usda.gov/research/software/download/?softwareid=95&modecode=20-36-15-00</a> </p></li></ul><p></p>",
+ "distribution_titles": [
+ "https://www.ars.usda.gov/research/software/download/?softwareid=95&modecode=20-36-15-00"
+ ],
+ "harvest_record": "https://catalog.data.gov/harvest_record/9f5a6519-c37a-4564-b0ef-98eb8d64cab1",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/9f5a6519-c37a-4564-b0ef-98eb8d64cab1/raw",
+ "has_download": true,
+ "has_spatial": false,
+ "identifier": "10113/AA22503",
+ "keyword": [
+ "Natural Resources Earth and Environmental Sciences",
+ "computer software",
+ "geostatistics",
+ "models"
+ ],
+ "last_harvested_date": "2026-10-08T22:43:21.862936",
+ "organization": {
+ "aliases": [
+ "dept"
+ ],
+ "code_repo_exempt": false,
+ "code_repo_url": null,
+ "description": null,
+ "id": "352b4532-793d-4075-a03f-05b778a3c43a",
+ "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/usda.png",
+ "name": "Department of Agriculture",
+ "organization_type": "Federal Government",
+ "slug": "usda"
+ },
+ "parent_identifier": null,
+ "popularity": 3,
+ "publisher": "Agricultural Research Service",
+ "slug": "geopack",
+ "spatial_centroid": null,
+ "spatial_shape": null,
+ "theme": [],
+ "title": "GEOPACK",
+ "type": "dataset"
+ },
+ {
+ "_score": 6.8916626,
+ "_sort": [
+ 1791499254697,
+ 6.8916626,
+ 0,
+ "ba407e04-e18a-4b16-9776-fb1a111a72f1"
  ],
  "access_level": "public",
  "dcat": {
  "accessLevel": "public",
  "bureauCode": [
- "010:12"
+ "010:24"
  ],
  "contactPoint": {
  "@type": "vcard:Contact",
- "fn": "FRESC Metadata Coordinator",
- "hasEmail": "mailto:fresh_outreach@usgs.gov"
- },
- "description": "The 2022 Department of the Interior, Environment, and Related Agencies Appropriations Bill - the appropriations bill that funds the USGS - established a regional Integrated Water Availability Assessment study program in the Great Basin of the American West. Twenty saline lakes across California, Nevada, Oregon, and Utah were identified by USGS partners as priority ecosystems. They include: California: Eagle Lake, Honey Lake, Mono Lake, Owens Lake; Utah: The Great Salt Lake and Sevier Lake; Nevada: Carson Lake, Carson Sink, Franklin Lake, Pyramid Lake, Ruby Lake, Walker Lake, Winnemucca Lake; Oregon: Lake Abert, Harney Lake, Malheur Lake, Silver Lake, Summer Lake, the Warner Lakes; California/Oregon: Goose Lake",
+ "fn": "NPS IRMA Help",
+ "hasEmail": "mailto:NRSS_DataStore@nps.gov"
+ },
+ "description": "Fire history (point of origin) for wildland fires occurring on lands of Acadia National Park from 1937 through 2009. Points represent the approximate locations of fire origins. Only fires of type 1 (suppression), type 2 (natural outs), or type 4 (prescribed fires) are included. This layer includes fires on Long Island in Blue Hill Bay. The NPS acquired conservation easements on a large portion of the island in 1995 and has been responsible for fire management on these lands since then. Three points in the layer appear to fall outside of lands currently owned by the National Park Service (NPS). One of them is on a privately-owned parcel that is within the Congressionally legislated park boundary established in 1986 (P.L. 99-420). For the other two, at the time they occurred, the land was part of Acadia National Park, but that land has subsequently been deleted in accordance with Public Law 99-420 and is no longer owned by the NPS. All records found for fires on Bar Island (Frenchman Bay) are included. The NPS did not own some of this land when the fires occurred, but they are included for historical reference because the NPS now owns the whole island.",
  "distribution": [
  {
  "@type": "dcat:Distribution",
- "accessURL": "https://doi.org/10.5066/P13QP2TK",
- "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.667f1a25d34e2cb7853eaf4f.xml",
- "format": "XML",
- "mediaType": "text/xml",
- "title": "Original Metadata"
+ "description": "Legacy holding from Data Store: acad_firehistory2009.zip",
+ "downloadURL": "https://irma.nps.gov/DataStore/DownloadFile/374284?Reference=1049080",
+ "format": "zip",
+ "mediaType": "application/zip",
+ "title": "acad_firehistory2009.zip"
+ },
+ {
+ "@type": "dcat:Distribution",
+ "description": "Original FGDC metadata used to create this reference. Be aware that some of the fields, including file paths, may be out of date. This file should only be used for understanding additional documentation that is not already managed by Data Store",
+ "downloadURL": "https://irma.nps.gov/DataStore/DownloadFile/537275?Reference=1049080",
+ "format": "xml",
+ "mediaType": "application/xml",
+ "title": "OriginalMetadata_NPSDataStoreCode_1049080.xml"
  }
  ],
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_667f1a25d34e2cb7853eaf4f",
- "keyword": [
- "California",
- "Nevada",
- "Oregon",
- "USGS:667f1a25d34e2cb7853eaf4f",
- "Utah",
- "aquatic ecosystems",
- "biota",
- "desert ecosystems",
- "environment",
- "geospatial datasets",
- "inlandWaters",
- "shrubland ecosystems",
- "surface water (non-marine)"
- ],
- "modified": "2026-10-05T00:00:00Z",
+ "identifier": "http://datainventory.doi.gov/id/dataset/NPS_DataStore_1049080",
+ "issued": "2009-12-03T00:00:00Z",
+ "keyword": [
+ "ACAD",
+ "Acadia National Park",
+ "Environment",
+ "FIRE",
+ "Fire History",
+ "Fire Management",
+ "Hancock County",
+ "Knox County",
+ "Maine",
+ "Northeastern US",
+ "Park Management",
+ "Town of Bar Harbor",
+ "Town of Blue Hill",
+ "Town of Isle au Haut",
+ "Town of Mount Desert",
+ "Town of Southwest Harbor",
+ "Town of Tremont",
+ "Town of Trenton",
+ "Town of Winter Harbor",
+ "United States",
+ "Wildland Fire",
+ "fire origin",
+ "historic fires"
+ ],
+ "landingPage": "https://irma.nps.gov/DataStore/Reference/Profile/1049080",
+ "modified": "2009-12-03T00:00:00Z",
+ "programCode": [
+ "010:118",
+ "010:119"
+ ],
  "publisher": {
  "@type": "org:Organization",
- "name": "U.S. Geological Survey"
- },
- "spatial": "-121.7204, 36.0523, -111.1371, 44.4412",
+ "name": "National Park Service"
+ },
+ "spatial": "-68.64063,44.0383949,-68.0454254,44.4287567",
+ "temporal": "1937-01-01/2009-12-31",
  "theme": [
  "geospatial"
  ],
- "title": "Saline Lake Ecosystems IWAA Lakes (ver. 2.0, September 2026)"
- },
- "description": "The 2022 Department of the Interior, Environment, and Related Agencies Appropriations Bill - the appropriations bill that funds the USGS - established a regional Integrated Water Availability Assessment study program in the Great Basin of the American West. Twenty saline lakes across California, Nevada, Oregon, and Utah were identified by USGS partners as priority ecosystems. They include: California: Eagle Lake, Honey Lake, Mono Lake, Owens Lake; Utah: The Great Salt Lake and Sevier Lake; Nevada: Carson Lake, Carson Sink, Franklin Lake, Pyramid Lake, Ruby Lake, Walker Lake, Winnemucca Lake; Oregon: Lake Abert, Harney Lake, Malheur Lake, Silver Lake, Summer Lake, the Warner Lakes; California/Oregon: Goose Lake",
+ "title": "Fire history (point of origin) for wildland fires occurring in Acadia National Park from 1937 through 2009 (FIRHIS2009.shp)"
+ },
+ "description": "Fire history (point of origin) for wildland fires occurring on lands of Acadia National Park from 1937 through 2009. Points represent the approximate locations of fire origins. Only fires of type 1 (suppression), type 2 (natural outs), or type 4 (prescribed fires) are included. This layer includes fires on Long Island in Blue Hill Bay. The NPS acquired conservation easements on a large portion of the island in 1995 and has been responsible for fire management on these lands since then. Three points in the layer appear to fall outside of lands currently owned by the National Park Service (NPS). One of them is on a privately-owned parcel that is within the Congressionally legislated park boundary established in 1986 (P.L. 99-420). For the other two, at the time they occurred, the land was part of Acadia National Park, but that land has subsequently been deleted in accordance with Public Law 99-420 and is no longer owned by the NPS. All records found for fires on Bar Island (Frenchman Bay) are included. The NPS did not own some of this land when the fires occurred, but they are included for historical reference because the NPS now owns the whole island.",
  "distribution_titles": [
- "Digital Data",
- "Original Metadata"
- ],
- "harvest_record": "https://catalog.data.gov/harvest_record/4ccba81b-a56e-41ec-bb60-420ba6352cd0",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/4ccba81b-a56e-41ec-bb60-420ba6352cd0/raw",
+ "acad_firehistory2009.zip",
+ "OriginalMetadata_NPSDataStoreCode_1049080.xml"
+ ],
+ "harvest_record": "https://catalog.data.gov/harvest_record/fbca8cf6-0a7e-40c1-b0a8-ad945a6d8c36",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/fbca8cf6-0a7e-40c1-b0a8-ad945a6d8c36/raw",
  "has_download": true,
  "has_spatial": true,
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_667f1a25d34e2cb7853eaf4f",
- "keyword": [
- "California",
- "Nevada",
- "Oregon",
- "USGS:667f1a25d34e2cb7853eaf4f",
- "Utah",
- "aquatic ecosystems",
- "biota",
- "desert ecosystems",
- "environment",
- "geospatial datasets",
- "inlandWaters",
- "shrubland ecosystems",
- "surface water (non-marine)"
- ],
- "last_harvested_date": "2026-10-08T05:01:28.789081",
+ "identifier": "http://datainventory.doi.gov/id/dataset/NPS_DataStore_1049080",
+ "keyword": [
+ "ACAD",
+ "Acadia National Park",
+ "Environment",
+ "FIRE",
+ "Fire History",
+ "Fire Management",
+ "Hancock County",
+ "Knox County",
+ "Maine",
+ "Northeastern US",
+ "Park Management",
+ "Town of Bar Harbor",
+ "Town of Blue Hill",
+ "Town of Isle au Haut",
+ "Town of Mount Desert",
+ "Town of Southwest Harbor",
+ "Town of Tremont",
+ "Town of Trenton",
+ "Town of Winter Harbor",
+ "United States",
+ "Wildland Fire",
+ "fire origin",
+ "historic fires"
+ ],
+ "last_harvested_date": "2026-10-08T22:40:54.697098",
  "organization": {
  "aliases": [
  "dept"
@@ -106,35 +1832,35 @@
  "slug": "doi"
  },
  "parent_identifier": null,
- "popularity": 4,
- "publisher": "U.S. Geological Survey",
- "slug": "saline-lake-ecosystems-iwaa-lakes",
+ "popularity": 0,
+ "publisher": "National Park Service",
+ "slug": "fire-history-point-of-origin-for-wildland-fires-occurring-in-acadia-national-park-from-193",
  "spatial_centroid": {
- "lat": 39.40786000000001,
- "lon": -117.48707999999999
+ "lat": 44.19453962,
+ "lon": -68.40254816000001
  },
  "spatial_shape": {
  "coordinates": [
  [
  [
- -121.7204,
- 36.0523
- ],
- [
- -121.7204,
- 44.4412
- ],
- [
- -111.1371,
- 44.4412
- ],
- [
- -111.1371,
- 36.0523
- ],
- [
- -121.7204,
- 36.0523
+ -68.64063,
+ 44.0383949
+ ],
+ [
+ -68.64063,
+ 44.4287567
+ ],
+ [
+ -68.0454254,
+ 44.4287567
+ ],
+ [
+ -68.0454254,
+ 44.0383949
+ ],
+ [
+ -68.64063,
+ 44.0383949
  ]
  ]
  ],
@@ -143,84 +1869,631 @@
  "theme": [
  "geospatial"
  ],
- "title": "Saline Lake Ecosystems IWAA Lakes (ver. 2.0, September 2026)",
+ "title": "Fire history (point of origin) for wildland fires occurring in Acadia National Park from 1937 through 2009 (FIRHIS2009.shp)",
  "type": "dataset"
  },
  {
- "_score": 10.314705,
+ "_score": 22.246923,
  "_sort": [
- 1791435613471,
- 10.314705,
- 50,
- "3e06019b-49df-4465-826b-e2cdfd526c08"
+ 1791499117280,
+ 22.246923,
+ 1,
+ "63208031-b532-4ca6-9d4b-63cda4ce4695"
+ ],
+ "access_level": "non-public",
+ "dcat": {
+ "@type": "Dataset",
+ "accessLevel": "non-public",
+ "accessRights": "non-public",
+ "accrualPeriodicity": null,
+ "bureauCode": [
+ "016:00"
+ ],
+ "contactPoint": {
+ "@type": "Kind",
+ "fn": "Open Data",
+ "hasEmail": "mailto:Open.Data@ssa.gov"
+ },
+ "dataQuality": null,
+ "describedBy": null,
+ "description": "Data store provides a production environment for the control and tracking of high priority correspondence received in the Office of Public Inquiries (OPI).",
+ "distribution": null,
+ "identifier": "US-GOV-SSA-569",
+ "inventoried": "2016-06-24",
+ "isPartOf": null,
+ "issued": null,
+ "keyword": [
+ "SSA"
+ ],
+ "landingPage": null,
+ "language": [
+ "en"
+ ],
+ "license": "https://www.usa.gov/government-copyright",
+ "modified": "2026-10-08",
+ "primaryITInvestmentUII": null,
+ "programCode": [
+ "016:000"
+ ],
+ "publisher": {
+ "@type": "Organization",
+ "name": "Social Security Administration"
+ },
+ "references": null,
+ "rights": [
+ "The publishing of the data asset cannot be done due to one or more of the following reasons: contains personal identifying information, contains federal tax information, contains sensitive information, or a data assessment has not been completed."
+ ],
+ "spatial": "[{\"@type\": \"Location\", \"prefLabel\": \"United States\"}]",
+ "systemOfRecords": null,
+ "temporal": null,
+ "theme": null,
+ "title": "Electronic Management of Assignments and Correspondence (EMAC 2)"
+ },
+ "description": "Data store provides a production environment for the control and tracking of high priority correspondence received in the Office of Public Inquiries (OPI).",
+ "distribution_titles": [],
+ "harvest_record": "https://catalog.data.gov/harvest_record/774892df-b239-4aa5-a194-3a3fa8feaf0a",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/774892df-b239-4aa5-a194-3a3fa8feaf0a/raw",
+ "has_download": false,
+ "has_spatial": true,
+ "identifier": "US-GOV-SSA-569",
+ "keyword": [
+ "SSA"
+ ],
+ "last_harvested_date": "2026-10-08T22:38:37.280232",
+ "organization": {
+ "aliases": null,
+ "code_repo_exempt": false,
+ "code_repo_url": null,
+ "description": null,
+ "id": "7ae8518f-b54f-439a-b63f-fe137bc6faf2",
+ "logo": "https://raw.githubusercontent.com/GSA/logo/master/ssa.png",
+ "name": "Social Security Administration",
+ "organization_type": "Federal Government",
+ "slug": "ssa"
+ },
+ "parent_identifier": null,
+ "popularity": 1,
+ "publisher": "Social Security Administration",
+ "slug": "electronic-management-of-assignments-and-correspondence-emac-2",
+ "spatial_centroid": {
+ "lat": 34.4819914,
+ "lon": -101.6218762
+ },
+ "spatial_shape": {
+ "coordinates": [
+ [
+ [
+ [
+ -124.733253,
+ 24.544245
+ ],
+ [
+ -124.733253,
+ 49.388611
+ ],
+ [
+ -66.954811,
+ 49.388611
+ ],
+ [
+ -66.954811,
+ 24.544245
+ ],
+ [
+ -124.733253,
+ 24.544245
+ ]
+ ]
+ ]
+ ],
+ "type": "MultiPolygon"
+ },
+ "theme": [],
+ "title": "Electronic Management of Assignments and Correspondence (EMAC 2)",
+ "type": "dataset"
+ },
+ {
+ "_score": 24.108398,
+ "_sort": [
+ 1791499111770,
+ 24.108398,
+ 2,
+ "796c98a0-6db0-49bc-bd44-9a1ac843b963"
+ ],
+ "access_level": "non-public",
+ "dcat": {
+ "@type": "Dataset",
+ "accessLevel": "non-public",
+ "accessRights": "non-public",
+ "accrualPeriodicity": null,
+ "bureauCode": [
+ "016:00"
+ ],
+ "contactPoint": {
+ "@type": "Kind",
+ "fn": "Open Data",
+ "hasEmail": "mailto:Open.Data@ssa.gov"
+ },
+ "dataQuality": null,
+ "describedBy": null,
+ "description": "SSA's basic IT Service Management tool used to identify and track authorized changes to the Production IT environment; identify and track Incidents and Problems within that environment; support Service Desk interactions with internal users; as well as manage and track IT assets and configurable items within the Agency's CMDB. It runs on Hewlett Packard's Service Manager software.",
+ "distribution": null,
+ "identifier": "US-GOV-SSA-526",
+ "inventoried": "2016-06-24",
+ "isPartOf": null,
+ "issued": null,
+ "keyword": [
+ "ITSM",
+ "change management",
+ "configuration management",
+ "incident management",
+ "problem management",
+ "production IT",
+ "request management"
+ ],
+ "landingPage": null,
+ "language": [
+ "en"
+ ],
+ "license": "https://www.usa.gov/government-copyright",
+ "modified": "2026-10-08",
+ "primaryITInvestmentUII": null,
+ "programCode": [
+ "016:000"
+ ],
+ "publisher": {
+ "@type": "Organization",
+ "name": "Social Security Administration"
+ },
+ "references": null,
+ "rights": [
+ "The publishing of the data asset cannot be done due to one or more of the following reasons: contains personal identifying information, contains federal tax information, contains sensitive information, or a data assessment has not been completed."
+ ],
+ "spatial": "[{\"@type\": \"Location\", \"prefLabel\": \"United States\"}]",
+ "systemOfRecords": null,
+ "temporal": null,
+ "theme": null,
+ "title": "Change Asset Problem Reporting System"
+ },
+ "description": "SSA's basic IT Service Management tool used to identify and track authorized changes to the Production IT environment; identify and track Incidents and Problems within that environment; support Service Desk interactions with internal users; as well as manage and track IT assets and configurable items within the Agency's CMDB. It runs on Hewlett Packard's Service Manager software.",
+ "distribution_titles": [],
+ "harvest_record": "https://catalog.data.gov/harvest_record/3f67be0d-e87b-436d-9d11-f6dbccbde6ae",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/3f67be0d-e87b-436d-9d11-f6dbccbde6ae/raw",
+ "has_download": false,
+ "has_spatial": true,
+ "identifier": "US-GOV-SSA-526",
+ "keyword": [
+ "ITSM",
+ "change management",
+ "configuration management",
+ "incident management",
+ "problem management",
+ "production IT",
+ "request management"
+ ],
+ "last_harvested_date": "2026-10-08T22:38:31.770034",
+ "organization": {
+ "aliases": null,
+ "code_repo_exempt": false,
+ "code_repo_url": null,
+ "description": null,
+ "id": "7ae8518f-b54f-439a-b63f-fe137bc6faf2",
+ "logo": "https://raw.githubusercontent.com/GSA/logo/master/ssa.png",
+ "name": "Social Security Administration",
+ "organization_type": "Federal Government",
+ "slug": "ssa"
+ },
+ "parent_identifier": null,
+ "popularity": 2,
+ "publisher": "Social Security Administration",
+ "slug": "change-asset-problem-reporting-system",
+ "spatial_centroid": {
+ "lat": 34.4819914,
+ "lon": -101.6218762
+ },
+ "spatial_shape": {
+ "coordinates": [
+ [
+ [
+ [
+ -124.733253,
+ 24.544245
+ ],
+ [
+ -124.733253,
+ 49.388611
+ ],
+ [
+ -66.954811,
+ 49.388611
+ ],
+ [
+ -66.954811,
+ 24.544245
+ ],
+ [
+ -124.733253,
+ 24.544245
+ ]
+ ]
+ ]
+ ],
+ "type": "MultiPolygon"
+ },
+ "theme": [],
+ "title": "Change Asset Problem Reporting System",
+ "type": "dataset"
+ },
+ {
+ "_score": 22.20266,
+ "_sort": [
+ 1791499075200,
+ 22.20266,
+ 1,
+ "c10e1d7d-6755-48f0-999c-900ef67ae896"
+ ],
+ "access_level": "non-public",
+ "dcat": {
+ "@type": "Dataset",
+ "accessLevel": "non-public",
+ "accessRights": "non-public",
+ "accrualPeriodicity": null,
+ "bureauCode": [
+ "016:00"
+ ],
+ "contactPoint": {
+ "@type": "Kind",
+ "fn": "Open Data",
+ "hasEmail": "mailto:Open.Data@ssa.gov"
+ },
+ "dataQuality": null,
+ "describedBy": null,
+ "description": "Data store provides a production environment for the control and tracking of high priority correspondence received in the Office of Public Inquiries (OPI).",
+ "distribution": null,
+ "identifier": "US-GOV-SSA-236",
+ "inventoried": "2016-06-24",
+ "isPartOf": null,
+ "issued": null,
+ "keyword": [
+ "OPI",
+ "Office of Public Inquiries",
+ "correspondence",
+ "high priority correspondence"
+ ],
+ "landingPage": null,
+ "language": [
+ "en"
+ ],
+ "license": "https://www.usa.gov/government-copyright",
+ "modified": "2026-10-08",
+ "primaryITInvestmentUII": null,
+ "programCode": [
+ "016:000"
+ ],
+ "publisher": {
+ "@type": "Organization",
+ "name": "Social Security Administration"
+ },
+ "references": null,
+ "rights": [
+ "The publishing of the data asset cannot be done due to one or more of the following reasons: contains personal identifying information, contains federal tax information, contains sensitive information, or a data assessment has not been completed."
+ ],
+ "spatial": "[{\"@type\": \"Location\", \"prefLabel\": \"United States\"}]",
+ "systemOfRecords": null,
+ "temporal": null,
+ "theme": null,
+ "title": "OPI Correspondence Control System"
+ },
+ "description": "Data store provides a production environment for the control and tracking of high priority correspondence received in the Office of Public Inquiries (OPI).",
+ "distribution_titles": [],
+ "harvest_record": "https://catalog.data.gov/harvest_record/7885ce30-76b6-462f-b2f7-420000ebe8f6",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/7885ce30-76b6-462f-b2f7-420000ebe8f6/raw",
+ "has_download": false,
+ "has_spatial": true,
+ "identifier": "US-GOV-SSA-236",
+ "keyword": [
+ "OPI",
+ "Office of Public Inquiries",
+ "correspondence",
+ "high priority correspondence"
+ ],
+ "last_harvested_date": "2026-10-08T22:37:55.200093",
+ "organization": {
+ "aliases": null,
+ "code_repo_exempt": false,
+ "code_repo_url": null,
+ "description": null,
+ "id": "7ae8518f-b54f-439a-b63f-fe137bc6faf2",
+ "logo": "https://raw.githubusercontent.com/GSA/logo/master/ssa.png",
+ "name": "Social Security Administration",
+ "organization_type": "Federal Government",
+ "slug": "ssa"
+ },
+ "parent_identifier": null,
+ "popularity": 1,
+ "publisher": "Social Security Administration",
+ "slug": "opi-correspondence-control-system",
+ "spatial_centroid": {
+ "lat": 34.4819914,
+ "lon": -101.6218762
+ },
+ "spatial_shape": {
+ "coordinates": [
+ [
+ [
+ [
+ -124.733253,
+ 24.544245
+ ],
+ [
+ -124.733253,
+ 49.388611
+ ],
+ [
+ -66.954811,
+ 49.388611
+ ],
+ [
+ -66.954811,
+ 24.544245
+ ],
+ [
+ -124.733253,
+ 24.544245
+ ]
+ ]
+ ]
+ ],
+ "type": "MultiPolygon"
+ },
+ "theme": [],
+ "title": "OPI Correspondence Control System",
+ "type": "dataset"
+ },
+ {
+ "_score": 3.470934,
+ "_sort": [
+ 1791499041407,
+ 3.470934,
+ 5,
+ "6c61f8c3-5627-4086-af57-00e6e537f626"
  ],
  "access_level": "public",
  "dcat": {
  "accessLevel": "public",
  "bureauCode": [
- "010:12"
+ "010:24"
  ],
  "contactPoint": {
  "@type": "vcard:Contact",
- "fn": "Ryan F. Thompson",
- "hasEmail": "mailto:rcthomps@usgs.gov"
- },
- "description": "This data set contains land surface elevations on dry and wadeable portions of transects for \npre-construction hydrographic surveys on the Missouri River below Gavins Point Dam for the \nEmergent Sandbar Habitat construction project near River Mile 761.4. Data tie- ins to local \nbenchmarks also are included",
+ "fn": "NPS IRMA Help",
+ "hasEmail": "mailto:NRSS_DataStore@nps.gov"
+ },
+ "description": "Inventory of intertidal fish in Ebey's Landing National Historical Reserve tabular data 2001-2005.Coastal and Fisheries staff from Olympic National Park conducted a 3-day inventory of intertidal fishes adjacent to the shoreline of Ebey’s Landing National Historical Reserve. Beach seine sampling was employed in all intertidal habitats on both the Admiralty Inlet and Penn Cove shorelines. A total of 31 locations were sampled, resulting in documentation of 28 species. The habitats in both of these regions include sand, gravel, cobble, and boulder beaches. Fish community composition in both regions was dominated by juvenile salmon, particularly chum salmon smolts, however the communities in each region were significantly different from each other. These differences likely reflect the physical habitat differences between the open coastline of Admiralty Inlet and the protected Penn Cove.",
  "distribution": [
  {
  "@type": "dcat:Distribution",
- "accessURL": "https://doi.org/10.5066/P96EIQUW",
- "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.ef9f62e5-57fc-4735-a1eb-52ee4c12dab1.xml",
- "format": "XML",
- "mediaType": "text/xml",
- "title": "Original Metadata"
+ "description": "NCCN EBLA intertidal fish inventory 2001-2005 tabular data: NCCN_IntertdlFish_FIa07_2001-2005_DISTRIBUTION.zip",
+ "downloadURL": "https://irma.nps.gov/DataStore/DownloadFile/530666?Reference=2206422",
+ "format": "zip",
+ "mediaType": "application/zip",
+ "title": "NCCN_IntertdlFish_FIa07_2001-2005_DISTRIBUTION.zip"
+ },
+ {
+ "@type": "dcat:Distribution",
+ "description": "Original FGDC metadata used to create this reference. Be aware that some of the fields, including file paths, may be out of date. This file should only be used for understanding additional documentation that is not already managed by Data Store",
+ "downloadURL": "https://irma.nps.gov/DataStore/DownloadFile/543418?Reference=2206422",
+ "format": "xml",
+ "mediaType": "application/xml",
+ "title": "OriginalMetadata_NPSDataStoreCode_2206422.xml"
  }
  ],
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_ef9f62e5-57fc-4735-a1eb-52ee4c12dab1",
- "keyword": [
- "Hydrographic Survey",
- "USGS:ef9f62e5-57fc-4735-a1eb-52ee4c12dab1",
- "environment",
- "geoscientificInformation",
- "inlandWaters"
- ],
- "modified": "2026-02-17T00:00:00Z",
+ "identifier": "http://datainventory.doi.gov/id/dataset/NPS_DataStore_2206422",
+ "issued": "2014-01-16T00:00:00Z",
+ "keyword": [
+ "Abundance",
+ "Alaska pollock",
+ "Alaskan stickleback",
+ "Ammodytes hexapterus",
+ "Anoplagonus inermis",
+ "Biology",
+ "Biota",
+ "Chinook salmon",
+ "Clark's trout",
+ "Clevelandia ios",
+ "Clinocottus acuticeps",
+ "Community",
+ "Cottus asper",
+ "Cymatogaster aggregata",
+ "EBLA",
+ "Ebey's Landing National Historical Reserve",
+ "Ecological Framework: Biological Integrity | Focal Species or Communities | Fishes",
+ "Ecological Framework: Biological Integrity | Focal Species or Communities | Intertidal Communities",
+ "Enophrys bison",
+ "Environment",
+ "Gadus chalcogrammus",
+ "Gasterosteus aculeatus",
+ "Hypomesus pretiosus",
+ "Icelinus borealis",
+ "Intertidal Fish",
+ "Inventory",
+ "Isopsetta isolepis",
+ "Leptocottus armatus",
+ "Microgadus proximus",
+ "Myoxocephalus polyacanthocephalus",
+ "NCCN",
+ "North Coast and Cascades Network Network",
+ "Oligocottus maculosus",
+ "Oncorhynchus clarkii clarkii",
+ "Oncorhynchus keta",
+ "Oncorhynchus kisutch",
+ "Oncorhynchus tshawytscha",
+ "Ophiodon elongatus",
+ "Osmeridae",
+ "Pacific Northwest",
+ "Pacific sand lance",
+ "Pacific sandfish",
+ "Pacific staghorn sculpin",
+ "Pacific tomcod",
+ "Pholis ornata",
+ "Platichthys stellatus",
+ "Resource Management",
+ "Salmo clarki",
+ "Syngnathus leptorhynchus",
+ "Theragra chalcogramma",
+ "Trichodon trichodon",
+ "Washington",
+ "Wildlife",
+ "Yellowstone cutthroat",
+ "arrow goby",
+ "baitfish",
+ "bay pipefish",
+ "beach seining",
+ "buffalo sculpin",
+ "butter sole",
+ "chum salmon",
+ "coastal cutthroat",
+ "coastal cutthroat trout",
+ "coho salmon",
+ "cutthroat trout",
+ "great sculpin",
+ "king salmon",
+ "lake trout",
+ "lingcod",
+ "northern sculpin",
+ "prickly sculpin",
+ "red-throated trout",
+ "saddleback gunnel",
+ "sea trout",
+ "sharpnose sculpin",
+ "shiner perch",
+ "short-tailed trout",
+ "silver salmon",
+ "slendernosed pipefish",
+ "smelts",
+ "smooth alligatorfish",
+ "starry flounder",
+ "surf smelt",
+ "threespine stickleback",
+ "tidepool sculpin",
+ "walleye pollock"
+ ],
+ "landingPage": "https://irma.nps.gov/DataStore/Reference/Profile/2206422",
+ "modified": "2014-01-16T00:00:00Z",
+ "programCode": [
+ "010:118",
+ "010:119"
+ ],
  "publisher": {
  "@type": "org:Organization",
- "name": "U.S. Geological Survey"
- },
- "spatial": "-97.230886, 42.651279, -96.582338, 42.966037",
+ "name": "National Park Service"
+ },
+ "spatial": "-122.77,48.15,-122.62,48.26",
+ "temporal": "2001-01-01/2005-01-01",
  "theme": [
- "geospatial"
- ],
- "title": "GPS data collected for preconstruction hydrographic surveys of Missouri River downstream from Gavins Point Dam near river mile 761.4"
- },
- "description": "This data set contains land surface elevations on dry and wadeable portions of transects for \npre-construction hydrographic surveys on the Missouri River below Gavins Point Dam for the \nEmergent Sandbar Habitat construction project near River Mile 761.4. Data tie- ins to local \nbenchmarks also are included",
+ "Tabular Dataset"
+ ],
+ "title": "Intertidal Fish Inventory of Ebey's Landing National Historical Reserve tabular data"
+ },
+ "description": "Inventory of intertidal fish in Ebey's Landing National Historical Reserve tabular data 2001-2005.Coastal and Fisheries staff from Olympic National Park conducted a 3-day inventory of intertidal fishes adjacent to the shoreline of Ebey’s Landing National Historical Reserve. Beach seine sampling was employed in all intertidal habitats on both the Admiralty Inlet and Penn Cove shorelines. A total of 31 locations were sampled, resulting in documentation of 28 species. The habitats in both of these regions include sand, gravel, cobble, and boulder beaches. Fish community composition in both regions was dominated by juvenile salmon, particularly chum salmon smolts, however the communities in each region were significantly different from each other. These differences likely reflect the physical habitat differences between the open coastline of Admiralty Inlet and the protected Penn Cove.",
  "distribution_titles": [
- "Digital Data",
- "Original Metadata"
- ],
- "harvest_record": "https://catalog.data.gov/harvest_record/c927a217-eb42-4740-b266-d35ce5d1a264",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/c927a217-eb42-4740-b266-d35ce5d1a264/raw",
+ "NCCN_IntertdlFish_FIa07_2001-2005_DISTRIBUTION.zip",
+ "OriginalMetadata_NPSDataStoreCode_2206422.xml"
+ ],
+ "harvest_record": "https://catalog.data.gov/harvest_record/3dd29f74-5ce6-45d3-9ee2-da183bf9ef75",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/3dd29f74-5ce6-45d3-9ee2-da183bf9ef75/raw",
  "has_download": true,
  "has_spatial": true,
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_ef9f62e5-57fc-4735-a1eb-52ee4c12dab1",
- "keyword": [
- "Hydrographic Survey",
- "USGS:ef9f62e5-57fc-4735-a1eb-52ee4c12dab1",
- "environment",
- "geoscientificInformation",
- "inlandWaters"
- ],
- "last_harvested_date": "2026-10-08T05:00:13.471001",
+ "identifier": "http://datainventory.doi.gov/id/dataset/NPS_DataStore_2206422",
+ "keyword": [
+ "Abundance",
+ "Alaska pollock",
+ "Alaskan stickleback",
+ "Ammodytes hexapterus",
+ "Anoplagonus inermis",
+ "Biology",
+ "Biota",
+ "Chinook salmon",
+ "Clark's trout",
+ "Clevelandia ios",
+ "Clinocottus acuticeps",
+ "Community",
+ "Cottus asper",
+ "Cymatogaster aggregata",
+ "EBLA",
+ "Ebey's Landing National Historical Reserve",
+ "Ecological Framework: Biological Integrity | Focal Species or Communities | Fishes",
+ "Ecological Framework: Biological Integrity | Focal Species or Communities | Intertidal Communities",
+ "Enophrys bison",
+ "Environment",
+ "Gadus chalcogrammus",
+ "Gasterosteus aculeatus",
+ "Hypomesus pretiosus",
+ "Icelinus borealis",
+ "Intertidal Fish",
+ "Inventory",
+ "Isopsetta isolepis",
+ "Leptocottus armatus",
+ "Microgadus proximus",
+ "Myoxocephalus polyacanthocephalus",
+ "NCCN",
+ "North Coast and Cascades Network Network",
+ "Oligocottus maculosus",
+ "Oncorhynchus clarkii clarkii",
+ "Oncorhynchus keta",
+ "Oncorhynchus kisutch",
+ "Oncorhynchus tshawytscha",
+ "Ophiodon elongatus",
+ "Osmeridae",
+ "Pacific Northwest",
+ "Pacific sand lance",
+ "Pacific sandfish",
+ "Pacific staghorn sculpin",
+ "Pacific tomcod",
+ "Pholis ornata",
+ "Platichthys stellatus",
+ "Resource Management",
+ "Salmo clarki",
+ "Syngnathus leptorhynchus",
+ "Theragra chalcogramma",
+ "Trichodon trichodon",
+ "Washington",
+ "Wildlife",
+ "Yellowstone cutthroat",
+ "arrow goby",
+ "baitfish",
+ "bay pipefish",
+ "beach seining",
+ "buffalo sculpin",
+ "butter sole",
+ "chum salmon",
+ "coastal cutthroat",
+ "coastal cutthroat trout",
+ "coho salmon",
+ "cutthroat trout",
+ "great sculpin",
+ "king salmon",
+ "lake trout",
+ "lingcod",
+ "northern sculpin",
+ "prickly sculpin",
+ "red-throated trout",
+ "saddleback gunnel",
+ "sea trout",
+ "sharpnose sculpin",
+ "shiner perch",
+ "short-tailed trout",
+ "silver salmon",
+ "slendernosed pipefish",
+ "smelts",
+ "smooth alligatorfish",
+ "starry flounder",
+ "surf smelt",
+ "threespine stickleback",
+ "tidepool sculpin",
+ "walleye pollock"
+ ],
+ "last_harvested_date": "2026-10-08T22:37:21.407744",
  "organization": {
  "aliases": [
  "dept"
@@ -235,7233 +2508,423 @@
  "slug": "doi"
  },
  "parent_identifier": null,
- "popularity": 50,
- "publisher": "U.S. Geological Survey",
- "slug": "gps-data-collected-for-preconstruction-hydrographic-surveys-of-missouri-river-downstream-f",
+ "popularity": 5,
+ "publisher": "National Park Service",
+ "slug": "intertidal-fish-inventory-of-ebeys-landing-national-historical-reserve-tabular-data",
  "spatial_centroid": {
- "lat": 42.777182200000006,
- "lon": -96.9714668
+ "lat": 48.194,
+ "lon": -122.71
  },
  "spatial_shape": {
  "coordinates": [
  [
  [
- -97.230886,
- 42.651279
- ],
- [
- -97.230886,
- 42.966037
- ],
- [
- -96.582338,
- 42.966037
- ],
- [
- -96.582338,
- 42.651279
- ],
- [
- -97.230886,
- 42.651279
+ -122.77,
+ 48.15
+ ],
+ [
+ -122.77,
+ 48.26
+ ],
+ [
+ -122.62,
+ 48.26
+ ],
+ [
+ -122.62,
+ 48.15
+ ],
+ [
+ -122.77,
+ 48.15
  ]
  ]
  ],
  "type": "Polygon"
  },
  "theme": [
- "geospatial"
- ],
- "title": "GPS data collected for preconstruction hydrographic surveys of Missouri River downstream from Gavins Point Dam near river mile 761.4",
+ "Tabular Dataset"
+ ],
+ "title": "Intertidal Fish Inventory of Ebey's Landing National Historical Reserve tabular data",
  "type": "dataset"
  },
  {
- "_score": 7.135435,
+ "_score": 12.953178,
  "_sort": [
- 1791435305388,
- 7.135435,
- 0,
- "c66f973a-3349-4210-8a5b-1e52a177d720"
- ],
- "access_level": "public",
- "dcat": {
- "accessLevel": "public",
- "bureauCode": [
- "010:12"
- ],
- "contactPoint": {
- "@type": "vcard:Contact",
- "fn": "U.S. Geological Survey, Alaska Science Center",
- "hasEmail": "mailto:gs-ak_asc_datamanagers@usgs.gov"
- },
- "description": "This data release provides Alaska breeding landbird population estimates from three hierarchical Bayesian population trend models, following the methods of Handel and Sauer (2017) and Amundson et al. (2014). The three models are: (1) ALMS only - uses the off-road point-count data from the Alaska Landbird Monitoring Survey (ALMS) routes in Bird Conservation Regions (BCRs) 4 (Northwestern Interior Forest) and 5 (Northern Pacific Rainforest), (2) BBS only - uses the North American Breeding Bird Survey (BBS) road-based data, and (3) Joint - uses data from both surveys. BCRs are defined according to the North American Bird Conservation Initiative (https://nabci-us.org/).",
- "distribution": [
- {
- "@type": "dcat:Distribution",
- "accessURL": "https://doi.org/10.5066/P145QNYH",
- "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.6abbe1ac1ba49b5433bab304.xml",
- "format": "XML",
- "mediaType": "text/xml",
- "title": "Original Metadata"
- }
- ],
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_6abbe1ac1ba49b5433bab304",
- "keyword": [
- "Animal and plant census",
- "Animals/vertebrates",
- "Biodiversity",
- "Biogeography",
- "Biota",
- "Birds",
- "Cranes and allies",
- "Ducks/geese/swans",
- "Eagle/falcons/hawks and allies",
- "Ecology",
- "Environment",
- "Field inventory and monitoring",
- "Grebes",
- "Habitats",
- "Herons/egrets and allies",
- "Loons",
- "Migratory birds",
- "Ornithology",
- "Perching Birds",
- "Sandpipers",
- "Spatial distribution",
- "Terrestrial ecosystems",
- "USGS:6abbe1ac1ba49b5433bab304",
- "Waders/gulls/auks and allies",
- "Wildlife"
- ],
- "modified": "2026-10-05T00:00:00Z",
- "publisher": {
- "@type": "org:Organization",
- "name": "U.S. Geological Survey"
- },
- "spatial": "170, 51, -128, 72",
- "theme": [
- "geospatial"
- ],
- "title": "Alaska Landbird Monitoring Survey (ALMS) Population Trend Estimates"
- },
- "description": "This data release provides Alaska breeding landbird population estimates from three hierarchical Bayesian population trend models, following the methods of Handel and Sauer (2017) and Amundson et al. (2014). The three models are: (1) ALMS only - uses the off-road point-count data from the Alaska Landbird Monitoring Survey (ALMS) routes in Bird Conservation Regions (BCRs) 4 (Northwestern Interior Forest) and 5 (Northern Pacific Rainforest), (2) BBS only - uses the North American Breeding Bird Survey (BBS) road-based data, and (3) Joint - uses data from both surveys. BCRs are defined according to the North American Bird Conservation Initiative (https://nabci-us.org/).",
- "distribution_titles": [
- "Digital Data",
- "Original Metadata"
- ],
- "harvest_record": "https://catalog.data.gov/harvest_record/62a0080b-59ae-42d6-a736-44b2bec9707f",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/62a0080b-59ae-42d6-a736-44b2bec9707f/raw",
- "has_download": true,
- "has_spatial": true,
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_6abbe1ac1ba49b5433bab304",
- "keyword": [
- "Animal and plant census",
- "Animals/vertebrates",
- "Biodiversity",
- "Biogeography",
- "Biota",
- "Birds",
- "Cranes and allies",
- "Ducks/geese/swans",
- "Eagle/falcons/hawks and allies",
- "Ecology",
- "Environment",
- "Field inventory and monitoring",
- "Grebes",
- "Habitats",
- "Herons/egrets and allies",
- "Loons",
- "Migratory birds",
- "Ornithology",
- "Perching Birds",
- "Sandpipers",
- "Spatial distribution",
- "Terrestrial ecosystems",
- "USGS:6abbe1ac1ba49b5433bab304",
- "Waders/gulls/auks and allies",
- "Wildlife"
- ],
- "last_harvested_date": "2026-10-08T04:55:05.388728",
- "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": "alaska-landbird-monitoring-survey-alms-population-trend-estimates",
- "spatial_centroid": {
- "lat": 59.4,
- "lon": 50.8
- },
- "spatial_shape": {
- "coordinates": [
- [
- [
- 170,
- 51
- ],
- [
- 170,
- 72
- ],
- [
- -128,
- 72
- ],
- [
- -128,
- 51
- ],
- [
- 170,
- 51
- ]
- ]
- ],
- "type": "Polygon"
- },
- "theme": [
- "geospatial"
- ],
- "title": "Alaska Landbird Monitoring Survey (ALMS) Population Trend Estimates",
- "type": "dataset"
- },
- {
- "_score": 9.155001,
- "_sort": [
- 1791435179403,
- 9.155001,
- 0,
- "90d4d761-77fc-4ee1-a191-43f0a9d716b9"
- ],
- "access_level": "public",
- "dcat": {
- "accessLevel": "public",
- "bureauCode": [
- "010:12"
- ],
- "contactPoint": {
- "@type": "vcard:Contact",
- "fn": "Maoyi Huang",
- "hasEmail": "mailto:maoyi.huang@noaa.gov"
- },
- "description": "Serially complete forcing data for historical and future runs of the Community Land Model (CLM) for the Thurston and Olaa tower sites. The historical (205-2015) data are derived from measured time series at each site. All gaps were filled to create serially complete time series of each forcing variable. Gap filling was based on the best available information at each time step and made use of statistical relationships with available data, historical analogues and other methods. Future (2071-2100) forcing data sets were constructed by shifting values in the historical data set by increments selected for possible future scenarios. Increments were based on the results of statistical downscaling of future climate by Elison Timm et al. (2015, Statistical downscaling of rainfall changes in Hawai‘i based on the CMIP5 global model projections, Journal of Geophysical Research-Atmospheres 120: 92-112, doi: 10.1002/2014JD022059) and Elison Timm and Fortini (2016, Statistical estimation of future temperature anomalies, data product, http://www.atmos.albany.edu/facstaff/timm/products_data.html).",
- "distribution": [
- {
- "@type": "dcat:Distribution",
- "accessURL": "https://doi.org/10.5066/P14THG69",
- "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.5bf49602e4b045bfcae26543.xml",
- "format": "XML",
- "mediaType": "text/xml",
- "title": "Original Metadata"
- }
- ],
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_5bf49602e4b045bfcae26543",
- "keyword": [
- "Hawai'i",
- "Hawaii",
- "Olaa",
- "Thurston",
- "USGS:5bf49602e4b045bfcae26543",
- "climate change",
- "community land model",
- "ecosystem carbon exchange",
- "environment",
- "evapotranspiration",
- "future scenarios",
- "geospatial datasets"
- ],
- "modified": "2026-10-05T00:00:00Z",
- "publisher": {
- "@type": "org:Organization",
- "name": "U.S. Geological Survey"
- },
- "spatial": "-160.2361, 18.9155, -154.7986, 22.2344",
- "theme": [
- "geospatial"
- ],
- "title": "Historical and future forcing data for the Community Land Model 4.0 used in two study sites in Hawai'i, 2005-2100"
- },
- "description": "Serially complete forcing data for historical and future runs of the Community Land Model (CLM) for the Thurston and Olaa tower sites. The historical (205-2015) data are derived from measured time series at each site. All gaps were filled to create serially complete time series of each forcing variable. Gap filling was based on the best available information at each time step and made use of statistical relationships with available data, historical analogues and other methods. Future (2071-2100) forcing data sets were constructed by shifting values in the historical data set by increments selected for possible future scenarios. Increments were based on the results of statistical downscaling of future climate by Elison Timm et al. (2015, Statistical downscaling of rainfall changes in Hawai‘i based on the CMIP5 global model projections, Journal of Geophysical Research-Atmospheres 120: 92-112, doi: 10.1002/2014JD022059) and Elison Timm and Fortini (2016, Statistical estimation of future temperature anomalies, data product, http://www.atmos.albany.edu/facstaff/timm/products_data.html).",
- "distribution_titles": [
- "Digital Data",
- "Original Metadata"
- ],
- "harvest_record": "https://catalog.data.gov/harvest_record/86e5fb8a-f429-4594-9a9f-38a2e503af13",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/86e5fb8a-f429-4594-9a9f-38a2e503af13/raw",
- "has_download": true,
- "has_spatial": true,
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_5bf49602e4b045bfcae26543",
- "keyword": [
- "Hawai'i",
- "Hawaii",
- "Olaa",
- "Thurston",
- "USGS:5bf49602e4b045bfcae26543",
- "climate change",
- "community land model",
- "ecosystem carbon exchange",
- "environment",
- "evapotranspiration",
- "future scenarios",
- "geospatial datasets"
- ],
- "last_harvested_date": "2026-10-08T04:52:59.403090",
- "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": "historical-and-future-forcing-data-for-the-community-land-model-4-0-used-in-two--2005-2100",
- "spatial_centroid": {
- "lat": 20.243060000000003,
- "lon": -158.06109999999998
- },
- "spatial_shape": {
- "coordinates": [
- [
- [
- -160.2361,
- 18.9155
- ],
- [
- -160.2361,
- 22.2344
- ],
- [
- -154.7986,
- 22.2344
- ],
- [
- -154.7986,
- 18.9155
- ],
- [
- -160.2361,
- 18.9155
- ]
- ]
- ],
- "type": "Polygon"
- },
- "theme": [
- "geospatial"
- ],
- "title": "Historical and future forcing data for the Community Land Model 4.0 used in two study sites in Hawai'i, 2005-2100",
- "type": "dataset"
- },
- {
- "_score": 10.411472,
- "_sort": [
- 1791435133844,
- 10.411472,
- 4,
- "55601e8a-b8d0-401d-937c-f30f81edf947"
- ],
- "access_level": "public",
- "dcat": {
- "accessLevel": "public",
- "bureauCode": [
- "010:12"
- ],
- "contactPoint": {
- "@type": "vcard:Contact",
- "fn": "Ryan F. Thompson",
- "hasEmail": "mailto:rcthomps@usgs.gov"
- },
- "description": "This geospatial data set contains an interpolated 3-D surface or, triangulated-irregular network (TIN), of \nthe change in elevation, in feet, of the substrate between cross-sections 22 and 35 following construction \nof Emergent Sandbar Habitat near River Mile 770. The surface was generated from points collected by \nthe echosounder and real-time kinematic (RTK) GPS on cross-sections in the downstream project reach \nsurrounding the construction area at River Mile 770 below Gavins Point Dam on the Missouri River in \nSouth Dakota before and after construction of the sandbar.",
- "distribution": [
- {
- "@type": "dcat:Distribution",
- "accessURL": "https://doi.org/10.5066/P98YVECX",
- "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.bab471f5-254a-4619-a308-17af1ab39dd0.xml",
- "format": "XML",
- "mediaType": "text/xml",
- "title": "Original Metadata"
- }
- ],
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_bab471f5-254a-4619-a308-17af1ab39dd0",
- "keyword": [
- "Hydrographic Survey",
- "USGS:bab471f5-254a-4619-a308-17af1ab39dd0",
- "environment",
- "geoscientificInformation",
- "inlandWaters"
- ],
- "modified": "2026-02-17T00:00:00Z",
- "publisher": {
- "@type": "org:Organization",
- "name": "U.S. Geological Survey"
- },
- "spatial": "-96.876334, 42.712792, -96.851104, 42.732505",
- "theme": [
- "geospatial"
- ],
- "title": "Difference betweem postconstruction and preconstruction land surface elevation tins on the Missouri River Downstream from Gavins Point Dam near River Mile 769.8."
- },
- "description": "This geospatial data set contains an interpolated 3-D surface or, triangulated-irregular network (TIN), of \nthe change in elevation, in feet, of the substrate between cross-sections 22 and 35 following construction \nof Emergent Sandbar Habitat near River Mile 770. The surface was generated from points collected by \nthe echosounder and real-time kinematic (RTK) GPS on cross-sections in the downstream project reach \nsurrounding the construction area at River Mile 770 below Gavins Point Dam on the Missouri River in \nSouth Dakota before and after construction of the sandbar.",
- "distribution_titles": [
- "Digital Data",
- "Original Metadata"
- ],
- "harvest_record": "https://catalog.data.gov/harvest_record/40c2002c-03e8-4b0f-9333-5b7d059e24a5",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/40c2002c-03e8-4b0f-9333-5b7d059e24a5/raw",
- "has_download": true,
- "has_spatial": true,
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_bab471f5-254a-4619-a308-17af1ab39dd0",
- "keyword": [
- "Hydrographic Survey",
- "USGS:bab471f5-254a-4619-a308-17af1ab39dd0",
- "environment",
- "geoscientificInformation",
- "inlandWaters"
- ],
- "last_harvested_date": "2026-10-08T04:52:13.844558",
- "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": 4,
- "publisher": "U.S. Geological Survey",
- "slug": "difference-betweem-postconstruction-and-preconstruction-land-surface-elevation-tins-on-the-4e0f6",
- "spatial_centroid": {
- "lat": 42.7206772,
- "lon": -96.866242
- },
- "spatial_shape": {
- "coordinates": [
- [
- [
- -96.876334,
- 42.712792
- ],
- [
- -96.876334,
- 42.732505
- ],
- [
- -96.851104,
- 42.732505
- ],
- [
- -96.851104,
- 42.712792
- ],
- [
- -96.876334,
- 42.712792
- ]
- ]
- ],
- "type": "Polygon"
- },
- "theme": [
- "geospatial"
- ],
- "title": "Difference betweem postconstruction and preconstruction land surface elevation tins on the Missouri River Downstream from Gavins Point Dam near River Mile 769.8.",
- "type": "dataset"
- },
- {
- "_score": 10.229588,
- "_sort": [
- 1791435073519,
- 10.229588,
- 5,
- "da73e18a-7c5e-401a-bdb1-0c3d66eb2ccc"
- ],
- "access_level": "public",
- "dcat": {
- "accessLevel": "public",
- "bureauCode": [
- "010:12"
- ],
- "contactPoint": {
- "@type": "vcard:Contact",
- "fn": "Ryan F. Thompson",
- "hasEmail": "mailto:rcthomps@usgs.gov"
- },
- "description": "This geospatial data set contains the points collected by the echosounder on transects in the upstream project \nreach surrounding the construction area at River Mile 770.0 below Gavins Point Dam on the Missouri River in \nSouth Dakota. This survey provides channel cross sections approximately every 500 feet prior to construction \nof Emergent Sandbar Habitat near River Mile 770.0",
- "distribution": [
- {
- "@type": "dcat:Distribution",
- "accessURL": "https://doi.org/10.5066/P9KHXPVW",
- "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.8c43e591-33d3-4be8-8685-9334db3e0c17.xml",
- "format": "XML",
- "mediaType": "text/xml",
- "title": "Original Metadata"
- }
- ],
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_8c43e591-33d3-4be8-8685-9334db3e0c17",
- "keyword": [
- "Hydrographic Survey",
- "USGS:8c43e591-33d3-4be8-8685-9334db3e0c17",
- "environment",
- "geoscientificInformation",
- "inlandWaters"
- ],
- "modified": "2026-02-17T00:00:00Z",
- "publisher": {
- "@type": "org:Organization",
- "name": "U.S. Geological Survey"
- },
- "spatial": "-96.912245, 42.701375, -96.821919, 42.736242",
- "theme": [
- "geospatial"
- ],
- "title": "Bathymetry data for the pre-construction survey of the Emergent Sandbar Habitat project at river mile 769.8 downstream from Gavins Point Dam on the Missouri River."
- },
- "description": "This geospatial data set contains the points collected by the echosounder on transects in the upstream project \nreach surrounding the construction area at River Mile 770.0 below Gavins Point Dam on the Missouri River in \nSouth Dakota. This survey provides channel cross sections approximately every 500 feet prior to construction \nof Emergent Sandbar Habitat near River Mile 770.0",
- "distribution_titles": [
- "Digital Data",
- "Original Metadata"
- ],
- "harvest_record": "https://catalog.data.gov/harvest_record/dc4dd18c-9d8f-42a8-a554-1bfe20deea2c",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/dc4dd18c-9d8f-42a8-a554-1bfe20deea2c/raw",
- "has_download": true,
- "has_spatial": true,
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_8c43e591-33d3-4be8-8685-9334db3e0c17",
- "keyword": [
- "Hydrographic Survey",
- "USGS:8c43e591-33d3-4be8-8685-9334db3e0c17",
- "environment",
- "geoscientificInformation",
- "inlandWaters"
- ],
- "last_harvested_date": "2026-10-08T04:51:13.519071",
- "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": 5,
- "publisher": "U.S. Geological Survey",
- "slug": "bathymetry-data-for-the-pre-construction-survey-of-the-emergent-sandbar-habitat-project-at-ba1fa",
- "spatial_centroid": {
- "lat": 42.7153218,
- "lon": -96.8761146
- },
- "spatial_shape": {
- "coordinates": [
- [
- [
- -96.912245,
- 42.701375
- ],
- [
- -96.912245,
- 42.736242
- ],
- [
- -96.821919,
- 42.736242
- ],
- [
- -96.821919,
- 42.701375
- ],
- [
- -96.912245,
- 42.701375
- ]
- ]
- ],
- "type": "Polygon"
- },
- "theme": [
- "geospatial"
- ],
- "title": "Bathymetry data for the pre-construction survey of the Emergent Sandbar Habitat project at river mile 769.8 downstream from Gavins Point Dam on the Missouri River.",
- "type": "dataset"
- },
- {
- "_score": 10.1856785,
- "_sort": [
- 1791435022590,
- 10.1856785,
- 4,
- "1d2dba95-81b9-4104-9d66-3e588ee978ec"
- ],
- "access_level": "public",
- "dcat": {
- "accessLevel": "public",
- "bureauCode": [
- "010:12"
- ],
- "contactPoint": {
- "@type": "vcard:Contact",
- "fn": "Ryan F. Thompson",
- "hasEmail": "mailto:rcthomps@usgs.gov"
- },
- "description": "This geospatial data set contains an interpolated 3-D surface or, triangulated-irregular network \n(TIN), of the substrate surface between cross-sections 23 and 39 following construction of \nEmergent Sandbar Habitat near River Mile 761.4. The surface was generated from points \ncollected by the echosounder and real-time kinematic (RTK) GPS on cross-sections in the \ndownstream project reach surrounding the construction area at River Mile 761.4 below \nGavins Point Dam on the Missouri River in South Dakota.",
- "distribution": [
- {
- "@type": "dcat:Distribution",
- "accessURL": "https://doi.org/10.5066/P9WMIYIX",
- "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.27c54785-3cfd-4ccd-a2d3-c3f47c102e47.xml",
- "format": "XML",
- "mediaType": "text/xml",
- "title": "Original Metadata"
- }
- ],
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_27c54785-3cfd-4ccd-a2d3-c3f47c102e47",
- "keyword": [
- "Hydrographic Survey",
- "USGS:27c54785-3cfd-4ccd-a2d3-c3f47c102e47",
- "environment",
- "geoscientificInformation",
- "inlandWaters"
- ],
- "modified": "2026-02-17T00:00:00Z",
- "publisher": {
- "@type": "org:Organization",
- "name": "U.S. Geological Survey"
- },
- "spatial": "-96.769522, 42.657361, -96.739372, 42.666935",
- "theme": [
- "geospatial"
- ],
- "title": "Postconstruction tin of land surface on the Missouri River downstream from Gavins Point Dam near River Mile 761.4"
- },
- "description": "This geospatial data set contains an interpolated 3-D surface or, triangulated-irregular network \n(TIN), of the substrate surface between cross-sections 23 and 39 following construction of \nEmergent Sandbar Habitat near River Mile 761.4. The surface was generated from points \ncollected by the echosounder and real-time kinematic (RTK) GPS on cross-sections in the \ndownstream project reach surrounding the construction area at River Mile 761.4 below \nGavins Point Dam on the Missouri River in South Dakota.",
- "distribution_titles": [
- "Digital Data",
- "Original Metadata"
- ],
- "harvest_record": "https://catalog.data.gov/harvest_record/44f02c03-3cb0-4121-9052-8c6cc8c450e3",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/44f02c03-3cb0-4121-9052-8c6cc8c450e3/raw",
- "has_download": true,
- "has_spatial": true,
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_27c54785-3cfd-4ccd-a2d3-c3f47c102e47",
- "keyword": [
- "Hydrographic Survey",
- "USGS:27c54785-3cfd-4ccd-a2d3-c3f47c102e47",
- "environment",
- "geoscientificInformation",
- "inlandWaters"
- ],
- "last_harvested_date": "2026-10-08T04:50:22.590827",
- "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": 4,
- "publisher": "U.S. Geological Survey",
- "slug": "postconstruction-tin-of-land-surface-on-the-missouri-river-downstream-from-gavins-point-da-5ef18",
- "spatial_centroid": {
- "lat": 42.661190600000005,
- "lon": -96.757462
- },
- "spatial_shape": {
- "coordinates": [
- [
- [
- -96.769522,
- 42.657361
- ],
- [
- -96.769522,
- 42.666935
- ],
- [
- -96.739372,
- 42.666935
- ],
- [
- -96.739372,
- 42.657361
- ],
- [
- -96.769522,
- 42.657361
- ]
- ]
- ],
- "type": "Polygon"
- },
- "theme": [
- "geospatial"
- ],
- "title": "Postconstruction tin of land surface on the Missouri River downstream from Gavins Point Dam near River Mile 761.4",
- "type": "dataset"
- },
- {
- "_score": 8.699972,
- "_sort": [
- 1791434920338,
- 8.699972,
- 0,
- "59958bfd-cd9a-4df6-af96-72ed960a9d35"
- ],
- "access_level": "public",
- "dcat": {
- "accessLevel": "public",
- "bureauCode": [
- "010:12"
- ],
- "contactPoint": {
- "@type": "vcard:Contact",
- "fn": "Katherine Warnell",
- "hasEmail": "mailto:katie.warnell@duke.edu"
- },
- "description": "Clean water is important for a variety of uses, including drinking, recreation, and as habitat for aquatic species. Nonpoint-source pollution, such as nutrients, sediment, and pesticides from agricultural runoff, is a major cause of impaired water quality in the United States. Vegetation and soil in natural land cover help to remove pollutants from runoff water before it reaches streams and other waterways by slowing water flow and physically trapping sediment. To assess the spatial distribution of water purification potential in the southeastern United States, we mapped the demand for purification as the total area of agricultural land and the supply of natural land cover in the flowpath over which water moves from agricultural land to waterways. We used this information to identify priority areas for restoration of natural land cover in the flowpath (areas with high demand for water purification and low supply of purifying land cover) and priority areas for conservation of purifying land cover (areas with high demand for water purification with moderate supply of purifying land cover).",
- "distribution": [
- {
- "@type": "dcat:Distribution",
- "accessURL": "https://doi.org/10.21429/2xzm-7h15",
- "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.5f1721bf82cef313ed840387.xml",
- "format": "XML",
- "mediaType": "text/xml",
- "title": "Original Metadata"
- }
- ],
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_5f1721bf82cef313ed840387",
- "keyword": [
- "Alabama",
- "Arkansas",
- "Florida",
- "Georgia",
- "Louisiana",
- "Mississippi",
- "Missouri",
- "North Carolina",
- "South Carolina",
- "Tennessee",
- "USGS:5f1721bf82cef313ed840387",
- "contamination and pollution",
- "environment",
- "freshwater ecosystems",
- "natural resource management",
- "runoff",
- "water resources"
- ],
- "modified": "2026-10-05T00:00:00Z",
- "publisher": {
- "@type": "org:Organization",
- "name": "U.S. Geological Survey"
- },
- "spatial": "-91.6300, 24.4800, -75.2000, 36.6400",
- "theme": [
- "geospatial"
- ],
- "title": "Conservation and restoration priorities for water purification in the southeast United States, by HUC12 subwatershed (2011)"
- },
- "description": "Clean water is important for a variety of uses, including drinking, recreation, and as habitat for aquatic species. Nonpoint-source pollution, such as nutrients, sediment, and pesticides from agricultural runoff, is a major cause of impaired water quality in the United States. Vegetation and soil in natural land cover help to remove pollutants from runoff water before it reaches streams and other waterways by slowing water flow and physically trapping sediment. To assess the spatial distribution of water purification potential in the southeastern United States, we mapped the demand for purification as the total area of agricultural land and the supply of natural land cover in the flowpath over which water moves from agricultural land to waterways. We used this information to identify priority areas for restoration of natural land cover in the flowpath (areas with high demand for water purification and low supply of purifying land cover) and priority areas for conservation of purifying land cover (areas with high demand for water purification with moderate supply of purifying land cover).",
- "distribution_titles": [
- "Digital Data",
- "Original Metadata"
- ],
- "harvest_record": "https://catalog.data.gov/harvest_record/43e555b6-10cd-45d7-b341-1ee9fa6f8c91",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/43e555b6-10cd-45d7-b341-1ee9fa6f8c91/raw",
- "has_download": true,
- "has_spatial": true,
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_5f1721bf82cef313ed840387",
- "keyword": [
- "Alabama",
- "Arkansas",
- "Florida",
- "Georgia",
- "Louisiana",
- "Mississippi",
- "Missouri",
- "North Carolina",
- "South Carolina",
- "Tennessee",
- "USGS:5f1721bf82cef313ed840387",
- "contamination and pollution",
- "environment",
- "freshwater ecosystems",
- "natural resource management",
- "runoff",
- "water resources"
- ],
- "last_harvested_date": "2026-10-08T04:48:40.338342",
- "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": "conservation-and-restoration-priorities-for-water-purification-in-the-southeast-unite-2011-867a6",
- "spatial_centroid": {
- "lat": 29.344,
- "lon": -85.05799999999999
- },
- "spatial_shape": {
- "coordinates": [
- [
- [
- -91.63,
- 24.48
- ],
- [
- -91.63,
- 36.64
- ],
- [
- -75.2,
- 36.64
- ],
- [
- -75.2,
- 24.48
- ],
- [
- -91.63,
- 24.48
- ]
- ]
- ],
- "type": "Polygon"
- },
- "theme": [
- "geospatial"
- ],
- "title": "Conservation and restoration priorities for water purification in the southeast United States, by HUC12 subwatershed (2011)",
- "type": "dataset"
- },
- {
- "_score": 8.8105345,
- "_sort": [
- 1791434624294,
- 8.8105345,
- 0,
- "205e4fa4-44fc-4ee6-98ad-cf9ac24ebe3d"
- ],
- "access_level": "public",
- "dcat": {
- "accessLevel": "public",
- "bureauCode": [
- "010:12"
- ],
- "contactPoint": {
- "@type": "vcard:Contact",
- "fn": "Jose Pablo Ortiz Partida",
- "hasEmail": "mailto:joportiz@ucdavis.edu"
- },
- "description": "Create an inventory of water-related models that have been developed for the Rio Grande/Bravo basin. The summary includes a description of model river extent, spatial and temporal resolution, time period, model type, and their possible application for testing environmental flows or climate change future alternatives.",
- "distribution": [
- {
- "@type": "dcat:Distribution",
- "accessURL": "https://doi.org/10.21429/C9BC7D",
- "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.58e52342e4b09da679997bf6.xml",
- "format": "XML",
- "mediaType": "text/xml",
- "title": "Original Metadata"
- }
- ],
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_58e52342e4b09da679997bf6",
- "keyword": [
- "Rio Bravo",
- "Rio Grande",
- "USGS:58e52342e4b09da679997bf6",
- "climate change",
- "environment",
- "geospatial datasets",
- "hydraulic engineering",
- "hydraulics",
- "hydrologic",
- "hydrologic processes",
- "inlandWaters",
- "optimization",
- "river systems",
- "simulation",
- "water management"
- ],
- "modified": "2026-10-05T00:00:00Z",
- "publisher": {
- "@type": "org:Organization",
- "name": "U.S. Geological Survey"
- },
- "spatial": "-109.2410, 24.8092, -97.1392, 38.3621",
- "theme": [
- "geospatial"
- ],
- "title": "River extent of water related models in the Rio Grande/Bravo basin"
- },
- "description": "Create an inventory of water-related models that have been developed for the Rio Grande/Bravo basin. The summary includes a description of model river extent, spatial and temporal resolution, time period, model type, and their possible application for testing environmental flows or climate change future alternatives.",
- "distribution_titles": [
- "Digital Data",
- "Original Metadata"
- ],
- "harvest_record": "https://catalog.data.gov/harvest_record/059c93bd-f3ff-4b07-84d4-589fa8a828fa",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/059c93bd-f3ff-4b07-84d4-589fa8a828fa/raw",
- "has_download": true,
- "has_spatial": true,
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_58e52342e4b09da679997bf6",
- "keyword": [
- "Rio Bravo",
- "Rio Grande",
- "USGS:58e52342e4b09da679997bf6",
- "climate change",
- "environment",
- "geospatial datasets",
- "hydraulic engineering",
- "hydraulics",
- "hydrologic",
- "hydrologic processes",
- "inlandWaters",
- "optimization",
- "river systems",
- "simulation",
- "water management"
- ],
- "last_harvested_date": "2026-10-08T04:43:44.294312",
- "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": "river-extent-of-water-related-models-in-the-rio-grande-bravo-basin",
- "spatial_centroid": {
- "lat": 30.23036,
- "lon": -104.40028
- },
- "spatial_shape": {
- "coordinates": [
- [
- [
- -109.241,
- 24.8092
- ],
- [
- -109.241,
- 38.3621
- ],
- [
- -97.1392,
- 38.3621
- ],
- [
- -97.1392,
- 24.8092
- ],
- [
- -109.241,
- 24.8092
- ]
- ]
- ],
- "type": "Polygon"
- },
- "theme": [
- "geospatial"
- ],
- "title": "River extent of water related models in the Rio Grande/Bravo basin",
- "type": "dataset"
- },
- {
- "_score": 10.187836,
- "_sort": [
- 1791434553863,
- 10.187836,
- 2,
- "4c15edc0-6824-49d4-a200-c9b1af8d5e7f"
- ],
- "access_level": "public",
- "dcat": {
- "accessLevel": "public",
- "bureauCode": [
- "010:12"
- ],
- "contactPoint": {
- "@type": "vcard:Contact",
- "fn": "Ryan F. Thompson",
- "hasEmail": "mailto:rcthomps@usgs.gov"
- },
- "description": "This data set contains land surface elevations on dry and wadeable portions of transects for the \nhydrographic surveys on the Missouri River below Gavins Point Dam near River Mile 769.8. \nThis data provides land surface elevations of shallow-water, shore, and highbank for the \nMissouri River prior to construction of Emergent Sandbar Habitat.",
- "distribution": [
- {
- "@type": "dcat:Distribution",
- "accessURL": "https://doi.org/10.5066/P98FR60R",
- "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.985cf61c-0fe2-4ecb-abca-86e5089aaeff.xml",
- "format": "XML",
- "mediaType": "text/xml",
- "title": "Original Metadata"
- }
- ],
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_985cf61c-0fe2-4ecb-abca-86e5089aaeff",
- "keyword": [
- "Hydrographic Survey",
- "USGS:985cf61c-0fe2-4ecb-abca-86e5089aaeff",
- "environment",
- "geoscientificInformation",
- "inlandWaters"
- ],
- "modified": "2026-02-17T00:00:00Z",
- "publisher": {
- "@type": "org:Organization",
- "name": "U.S. Geological Survey"
- },
- "spatial": "-96.914945, 42.701005, -96.821300, 42.738139",
- "theme": [
- "geospatial"
- ],
- "title": "GPS data collected for transects as part of the pre-construction survey at Emergent Sandbar Habitat site on the Missouri River near river mile 769.8"
- },
- "description": "This data set contains land surface elevations on dry and wadeable portions of transects for the \nhydrographic surveys on the Missouri River below Gavins Point Dam near River Mile 769.8. \nThis data provides land surface elevations of shallow-water, shore, and highbank for the \nMissouri River prior to construction of Emergent Sandbar Habitat.",
- "distribution_titles": [
- "Digital Data",
- "Original Metadata"
- ],
- "harvest_record": "https://catalog.data.gov/harvest_record/fd40a6a9-0215-4a25-a28d-708140c9d88b",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/fd40a6a9-0215-4a25-a28d-708140c9d88b/raw",
- "has_download": true,
- "has_spatial": true,
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_985cf61c-0fe2-4ecb-abca-86e5089aaeff",
- "keyword": [
- "Hydrographic Survey",
- "USGS:985cf61c-0fe2-4ecb-abca-86e5089aaeff",
- "environment",
- "geoscientificInformation",
- "inlandWaters"
- ],
- "last_harvested_date": "2026-10-08T04:42:33.863833",
- "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": "gps-data-collected-for-transects-as-part-of-the-pre-construction-survey-at-emergent-sandba",
- "spatial_centroid": {
- "lat": 42.715858600000004,
- "lon": -96.877487
- },
- "spatial_shape": {
- "coordinates": [
- [
- [
- -96.914945,
- 42.701005
- ],
- [
- -96.914945,
- 42.738139
- ],
- [
- -96.8213,
- 42.738139
- ],
- [
- -96.8213,
- 42.701005
- ],
- [
- -96.914945,
- 42.701005
- ]
- ]
- ],
- "type": "Polygon"
- },
- "theme": [
- "geospatial"
- ],
- "title": "GPS data collected for transects as part of the pre-construction survey at Emergent Sandbar Habitat site on the Missouri River near river mile 769.8",
- "type": "dataset"
- },
- {
- "_score": 8.8105345,
- "_sort": [
- 1791434147414,
- 8.8105345,
- 0,
- "51c8ca10-5d74-4f2a-bd4a-26e0aa7f9474"
- ],
- "access_level": "public",
- "dcat": {
- "accessLevel": "public",
- "bureauCode": [
- "010:12"
- ],
- "contactPoint": {
- "@type": "vcard:Contact",
- "fn": "Jose Pablo Ortiz Partida",
- "hasEmail": "mailto:joportiz@ucdavis.edu"
- },
- "description": "This project inventories and reviews available water resource models used to meet multiple (and often competing) water resource management objectives. Water resource modeling tools have been developed for many different regions and sub-basins of the Rio Grande/Bravo (RGB). Each of these tools have specific objectives, whether it is to explore drought mitigation alternatives, conflict resolution, climate change evaluation, tradeoff and economic synergies, water allocation, reservoir operations, or collaborative planning. We specifically evaluate the applicability of those models to evaluating trade-offs in meeting societal and environmental flow requirements to recover native ecosystems. This work communicates the state of the RGB science to diverse stakeholders, researchers, and decision-makers. It also identify information gaps that merit additional research and resources, describe promising future steps to couple and improve existing systems models, and propose ideas to share and serve science syntheses in a digital and spatially-explicit databases.",
- "distribution": [
- {
- "@type": "dcat:Distribution",
- "accessURL": "https://doi.org/10.21429/C9BC7D",
- "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.58e52181e4b09da679997bed.xml",
- "format": "XML",
- "mediaType": "text/xml",
- "title": "Original Metadata"
- }
- ],
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_58e52181e4b09da679997bed",
- "keyword": [
- "Rio Bravo",
- "Rio Grande",
- "USGS:58e52181e4b09da679997bed",
- "climate change",
- "environment",
- "geospatial datasets",
- "hydraulic engineering",
- "hydraulics",
- "hydrologic",
- "hydrologic processes",
- "inlandWaters",
- "optimization",
- "river systems",
- "simulation",
- "water management"
- ],
- "modified": "2026-10-05T00:00:00Z",
- "publisher": {
- "@type": "org:Organization",
- "name": "U.S. Geological Survey"
- },
- "spatial": "-109.2410, 24.8092, -97.1392, 38.3621",
- "theme": [
- "geospatial"
- ],
- "title": "Assessing the State of Water Resource Knowledge and Tools for Future Planning in the Rio Grande-Rio Bravo Basin"
- },
- "description": "This project inventories and reviews available water resource models used to meet multiple (and often competing) water resource management objectives. Water resource modeling tools have been developed for many different regions and sub-basins of the Rio Grande/Bravo (RGB). Each of these tools have specific objectives, whether it is to explore drought mitigation alternatives, conflict resolution, climate change evaluation, tradeoff and economic synergies, water allocation, reservoir operations, or collaborative planning. We specifically evaluate the applicability of those models to evaluating trade-offs in meeting societal and environmental flow requirements to recover native ecosystems. This work communicates the state of the RGB science to diverse stakeholders, researchers, and decision-makers. It also identify information gaps that merit additional research and resources, describe promising future steps to couple and improve existing systems models, and propose ideas to share and serve science syntheses in a digital and spatially-explicit databases.",
- "distribution_titles": [
- "Digital Data",
- "Original Metadata"
- ],
- "harvest_record": "https://catalog.data.gov/harvest_record/9b747f68-240f-4188-a9de-fe6b43ca542e",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/9b747f68-240f-4188-a9de-fe6b43ca542e/raw",
- "has_download": true,
- "has_spatial": true,
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_58e52181e4b09da679997bed",
- "keyword": [
- "Rio Bravo",
- "Rio Grande",
- "USGS:58e52181e4b09da679997bed",
- "climate change",
- "environment",
- "geospatial datasets",
- "hydraulic engineering",
- "hydraulics",
- "hydrologic",
- "hydrologic processes",
- "inlandWaters",
- "optimization",
- "river systems",
- "simulation",
- "water management"
- ],
- "last_harvested_date": "2026-10-08T04:35:47.414724",
- "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": "assessing-the-state-of-water-resource-knowledge-and-tools-for-future-planning-in-the-rio-g",
- "spatial_centroid": {
- "lat": 30.23036,
- "lon": -104.40028
- },
- "spatial_shape": {
- "coordinates": [
- [
- [
- -109.241,
- 24.8092
- ],
- [
- -109.241,
- 38.3621
- ],
- [
- -97.1392,
- 38.3621
- ],
- [
- -97.1392,
- 24.8092
- ],
- [
- -109.241,
- 24.8092
- ]
- ]
- ],
- "type": "Polygon"
- },
- "theme": [
- "geospatial"
- ],
- "title": "Assessing the State of Water Resource Knowledge and Tools for Future Planning in the Rio Grande-Rio Bravo Basin",
- "type": "dataset"
- },
- {
- "_score": 9.203363,
- "_sort": [
- 1791433984309,
- 9.203363,
- 6,
- "a4ee9726-e6cf-4420-9c57-ede85375f5fa"
- ],
- "access_level": "public",
- "dcat": {
- "accessLevel": "public",
- "bureauCode": [
- "010:12"
- ],
- "contactPoint": {
- "@type": "vcard:Contact",
- "fn": "Ryan F. Thompson",
- "hasEmail": "mailto:rcthomps@usgs.gov"
- },
- "description": "This data set contains water velocity and flow direction data collected in shallow areas on selected transects near \nRiver Mile 769.8 of the Missouri River below Gavins Point Dam, South Dakota and Nebraska.",
- "distribution": [
- {
- "@type": "dcat:Distribution",
- "accessURL": "https://doi.org/10.5066/P913U97L",
- "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.d40e906c-a138-48ca-bab6-64d12085941e.xml",
- "format": "XML",
- "mediaType": "text/xml",
- "title": "Original Metadata"
- }
- ],
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_d40e906c-a138-48ca-bab6-64d12085941e",
- "keyword": [
- "Missouri River below Gavins Point Dam",
- "Nebraska",
- "South Dakota",
- "Stream velocity and direction",
- "USGS:d40e906c-a138-48ca-bab6-64d12085941e",
- "environment",
- "geoscientificInformation",
- "inlandWaters"
- ],
- "modified": "2026-02-17T00:00:00Z",
- "publisher": {
- "@type": "org:Organization",
- "name": "U.S. Geological Survey"
- },
- "spatial": "-96.891155, 42.717146, -96.851894, 42.731632",
- "theme": [
- "geospatial"
- ],
- "title": "Postconstruction water velocity data collected at selected points on the Missouri River downstream from Gavins Point Dam near River Mile 769.8"
- },
- "description": "This data set contains water velocity and flow direction data collected in shallow areas on selected transects near \nRiver Mile 769.8 of the Missouri River below Gavins Point Dam, South Dakota and Nebraska.",
- "distribution_titles": [
- "Digital Data",
- "Original Metadata"
- ],
- "harvest_record": "https://catalog.data.gov/harvest_record/1254eae4-9259-41db-9c52-0103907ef433",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/1254eae4-9259-41db-9c52-0103907ef433/raw",
- "has_download": true,
- "has_spatial": true,
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_d40e906c-a138-48ca-bab6-64d12085941e",
- "keyword": [
- "Missouri River below Gavins Point Dam",
- "Nebraska",
- "South Dakota",
- "Stream velocity and direction",
- "USGS:d40e906c-a138-48ca-bab6-64d12085941e",
- "environment",
- "geoscientificInformation",
- "inlandWaters"
- ],
- "last_harvested_date": "2026-10-08T04:33:04.309400",
- "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": 6,
- "publisher": "U.S. Geological Survey",
- "slug": "postconstruction-water-velocity-data-collected-at-selected-points-on-the-missouri-river-do",
- "spatial_centroid": {
- "lat": 42.7229404,
- "lon": -96.8754506
- },
- "spatial_shape": {
- "coordinates": [
- [
- [
- -96.891155,
- 42.717146
- ],
- [
- -96.891155,
- 42.731632
- ],
- [
- -96.851894,
- 42.731632
- ],
- [
- -96.851894,
- 42.717146
- ],
- [
- -96.891155,
- 42.717146
- ]
- ]
- ],
- "type": "Polygon"
- },
- "theme": [
- "geospatial"
- ],
- "title": "Postconstruction water velocity data collected at selected points on the Missouri River downstream from Gavins Point Dam near River Mile 769.8",
- "type": "dataset"
- },
- {
- "_score": 10.332644,
- "_sort": [
- 1791433687738,
- 10.332644,
- 1,
- "592bf83c-b187-4d3d-8699-c48ef2def528"
- ],
- "access_level": "public",
- "dcat": {
- "accessLevel": "public",
- "bureauCode": [
- "010:12"
- ],
- "contactPoint": {
- "@type": "vcard:Contact",
- "fn": "Ryan F. Thompson",
- "hasEmail": "mailto:rcthomps@usgs.gov"
- },
- "description": "This geospatial data set contains the points collected by the echosounder on transects in the \ndownstream project reach surrounding the construction area at River Mile 761.4 below Gavins \nPoint Dam on the Missouri River in South Dakota. This survey provides channel cross sections \nfor new and selected existing transects following construction of Emergent Sandbar Habitat \nnear River Mile 761.4",
- "distribution": [
- {
- "@type": "dcat:Distribution",
- "accessURL": "https://doi.org/10.5066/P9SZ45DR",
- "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.c0753ab2-c87b-4337-ac9c-8d0a287ec630.xml",
- "format": "XML",
- "mediaType": "text/xml",
- "title": "Original Metadata"
- }
- ],
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_c0753ab2-c87b-4337-ac9c-8d0a287ec630",
- "keyword": [
- "Hydrographic Survey",
- "USGS:c0753ab2-c87b-4337-ac9c-8d0a287ec630",
- "environment",
- "geoscientificInformation",
- "inlandWaters"
- ],
- "modified": "2026-02-17T00:00:00Z",
- "publisher": {
- "@type": "org:Organization",
- "name": "U.S. Geological Survey"
- },
- "spatial": "-96.912030, 42.701452, -96.822611, 42.736188",
- "theme": [
- "geospatial"
- ],
- "title": "Bathymetry data for the post-construction survey of the Emergent Sandbar Habitat project at river mile 761.4 downstream from Gavins Point dam on the Missouri River."
- },
- "description": "This geospatial data set contains the points collected by the echosounder on transects in the \ndownstream project reach surrounding the construction area at River Mile 761.4 below Gavins \nPoint Dam on the Missouri River in South Dakota. This survey provides channel cross sections \nfor new and selected existing transects following construction of Emergent Sandbar Habitat \nnear River Mile 761.4",
- "distribution_titles": [
- "Digital Data",
- "Original Metadata"
- ],
- "harvest_record": "https://catalog.data.gov/harvest_record/3096872b-f9df-4708-bb84-d0fcfd80300b",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/3096872b-f9df-4708-bb84-d0fcfd80300b/raw",
- "has_download": true,
- "has_spatial": true,
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_c0753ab2-c87b-4337-ac9c-8d0a287ec630",
- "keyword": [
- "Hydrographic Survey",
- "USGS:c0753ab2-c87b-4337-ac9c-8d0a287ec630",
- "environment",
- "geoscientificInformation",
- "inlandWaters"
- ],
- "last_harvested_date": "2026-10-08T04:28:07.738558",
- "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": 1,
- "publisher": "U.S. Geological Survey",
- "slug": "bathymetry-data-for-the-post-construction-survey-of-the-emergent-sandbar-habitat-project-a-8922e",
- "spatial_centroid": {
- "lat": 42.7153464,
- "lon": -96.8762624
- },
- "spatial_shape": {
- "coordinates": [
- [
- [
- -96.91203,
- 42.701452
- ],
- [
- -96.91203,
- 42.736188
- ],
- [
- -96.822611,
- 42.736188
- ],
- [
- -96.822611,
- 42.701452
- ],
- [
- -96.91203,
- 42.701452
- ]
- ]
- ],
- "type": "Polygon"
- },
- "theme": [
- "geospatial"
- ],
- "title": "Bathymetry data for the post-construction survey of the Emergent Sandbar Habitat project at river mile 761.4 downstream from Gavins Point dam on the Missouri River.",
- "type": "dataset"
- },
- {
- "_score": 8.667734,
- "_sort": [
- 1791433471621,
- 8.667734,
- 0,
- "8d08eb06-e2cb-4638-a3be-4fe41b2c898b"
- ],
- "access_level": "public",
- "dcat": {
- "accessLevel": "public",
- "bureauCode": [
- "010:12"
- ],
- "contactPoint": {
- "@type": "vcard:Contact",
- "fn": "Katherine Warnell",
- "hasEmail": "mailto:katie.warnell@duke.edu"
- },
- "description": "Clean water is important for a variety of uses, including drinking, recreation, and as habitat for aquatic species. Nonpoint-source pollution, such as nutrients, sediment, and pesticides from agricultural runoff, is a major cause of impaired water quality in the United States. Vegetation and soil in natural land cover help to remove pollutants from runoff water before it reaches streams and other waterways by slowing water flow and physically trapping sediment. To assess the spatial distribution of water purification potential in the southeastern United States, we mapped the demand for purification as the total area of agricultural land.",
- "distribution": [
- {
- "@type": "dcat:Distribution",
- "accessURL": "https://doi.org/10.21429/2xzm-7h15",
- "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.5f173eeb82cef313ed841a79.xml",
- "format": "XML",
- "mediaType": "text/xml",
- "title": "Original Metadata"
- }
- ],
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_5f173eeb82cef313ed841a79",
- "keyword": [
- "Alabama",
- "Arkansas",
- "Florida",
- "Georgia",
- "Louisiana",
- "Mississippi",
- "Missouri",
- "North Carolina",
- "South Carolina",
- "Tennessee",
- "USGS:5f173eeb82cef313ed841a79",
- "contamination and pollution",
- "environment",
- "freshwater ecosystems",
- "natural resource management",
- "runoff",
- "water resources"
- ],
- "modified": "2026-10-05T00:00:00Z",
- "publisher": {
- "@type": "org:Organization",
- "name": "U.S. Geological Survey"
- },
- "spatial": "-91.6300, 24.4800, -75.2000, 36.6400",
- "theme": [
- "geospatial"
- ],
- "title": "Agricultural land in the southeast United States (2011)"
- },
- "description": "Clean water is important for a variety of uses, including drinking, recreation, and as habitat for aquatic species. Nonpoint-source pollution, such as nutrients, sediment, and pesticides from agricultural runoff, is a major cause of impaired water quality in the United States. Vegetation and soil in natural land cover help to remove pollutants from runoff water before it reaches streams and other waterways by slowing water flow and physically trapping sediment. To assess the spatial distribution of water purification potential in the southeastern United States, we mapped the demand for purification as the total area of agricultural land.",
- "distribution_titles": [
- "Digital Data",
- "Original Metadata"
- ],
- "harvest_record": "https://catalog.data.gov/harvest_record/47e728b6-2ac0-4221-af40-ffc6dcb37e75",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/47e728b6-2ac0-4221-af40-ffc6dcb37e75/raw",
- "has_download": true,
- "has_spatial": true,
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_5f173eeb82cef313ed841a79",
- "keyword": [
- "Alabama",
- "Arkansas",
- "Florida",
- "Georgia",
- "Louisiana",
- "Mississippi",
- "Missouri",
- "North Carolina",
- "South Carolina",
- "Tennessee",
- "USGS:5f173eeb82cef313ed841a79",
- "contamination and pollution",
- "environment",
- "freshwater ecosystems",
- "natural resource management",
- "runoff",
- "water resources"
- ],
- "last_harvested_date": "2026-10-08T04:24:31.621767",
- "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": "agricultural-land-in-the-southeast-united-states-2011",
- "spatial_centroid": {
- "lat": 29.344,
- "lon": -85.05799999999999
- },
- "spatial_shape": {
- "coordinates": [
- [
- [
- -91.63,
- 24.48
- ],
- [
- -91.63,
- 36.64
- ],
- [
- -75.2,
- 36.64
- ],
- [
- -75.2,
- 24.48
- ],
- [
- -91.63,
- 24.48
- ]
- ]
- ],
- "type": "Polygon"
- },
- "theme": [
- "geospatial"
- ],
- "title": "Agricultural land in the southeast United States (2011)",
- "type": "dataset"
- },
- {
- "_score": 3.4734526,
- "_sort": [
- 1791433169152,
- 3.4734526,
- 0,
- "de2b9d08-3012-48ea-8d01-4dc165bc023e"
- ],
- "access_level": "public",
- "dcat": {
- "accessLevel": "public",
- "bureauCode": [
- "010:12"
- ],
- "contactPoint": {
- "@type": "vcard:Contact",
- "fn": "Cheryl A Dieter",
- "hasEmail": "mailto:cadieter@usgs.gov"
- },
- "description": "&lt;p&gt;This data release contains estimated water-use data for 2005 aggregated to\nthe county and HUC8 levels in the United States. The included datasets\nare:&lt;/p&gt;\n&lt;p&gt;\"&lt;a href = \"https://pubs.usgs.gov/circ/1344/\"&gt;Estimated Use\nof Water in the United States in 2005&lt;/a&gt;\" (USGS Circular 1344, Kenny and\nothers, 2009). This publication includes water use estimates at the county and HUC8 levels\nfor all of the United States.&lt;/p&gt;\n&lt;p&gt;Revised county and revised HUC8 estimates of water use in the United\nStates in 2005. These data are based on Kenny and others, 2009, but include\nrevisions to estimates made after the original publication.&lt;/p&gt;\n&lt;p&gt;\"&lt;a href = \"https://pubs.usgs.gov/sir/2018/5049/sir20185049.pdf\"&gt;Estimates\nof Water Use and Trends in the Colorado River Basin, Southwestern United\nStates, 1985–2010&lt;/a&gt;\" (USGS Scientific Investigations Report 2018-5049,\nMaupin and others, 2018). This publication includes water use estimates at the\nHUC8 level, but includes only the area within the Colorado River Basin. Supporting\ndata available in the companion &lt;a href = \"https://doi.org/10.5066/F7P84B5G\"&gt;data release&lt;/a&gt; (Ivahnenko and Maupin, 2018).&lt;/p&gt;\n&lt;p&gt;The estimates are shown for the following water use categories: public\nsupply, domestic, commercial, irrigation, thermoelectric power, industrial,\nmining, livestock, and aquaculture. Each estimate dataset includes an\nassociated methods table that describes the method used for each estimate\nby water use category. Please visit the metadata.xml for more\ninformation.&lt;/p&gt;\n&lt;p&gt;Note on the irrigation attributes: This dataset includes multiple irrigation attributes: irrigation\nundifferentiated (IR), crop irrigation (IC), golf course irrigation (IG) and total irrigation (IT). Datasets\nprior to 2000 only include IR. Other irrigation attributes are available in 2000 and later datasets after the\nUSGS began providing estimates for both crop irrigation and golf course irrigation. The 2000 to 2015\ndatasets include either IR for each area (county, HUC, aquifer) or estimates for both crop irrigation (IC) and\ngolf course irrigation (IG). The 2000-2015 datasets also include a total irrigation (IT) attribute that\nis either equal to IR, or is equal to the sum of IG and IC. Estimates of irrigation undifferentiated (IR) were generated for \ncertain states or areas in the 2000-2015 datasets when the input data required to separate out crop irrigation\nfrom golf course irrigation were unavailable. Therefore, IR may or may not include\ngolf course irrigation (IG).&lt;/p&gt;\n&lt;p&gt;Note on irrigation methods: when data is given in a total irrigation (IT) column, there is no corresponding column in the methods.\nSince the value of IT is derived from the values of IR, IG, and IC, as described above, these columns may be consulted for methods information.&lt;/p&gt;\n&lt;p&gt;Note on the population figures: 2005 county-level population served estimates were either made as a total population served by a public supply system, or as separate estimates for population served by a public supply system with a groundwater source and served by a public supply system with a surface water source. Counties will have either a single PS-TOPop value, or else separate PS-GWPop and PS-SWPop values. &lt;/p&gt;\n&lt;br&gt;",
- "distribution": [
- {
- "@type": "dcat:Distribution",
- "accessURL": "https://doi.org/10.5066/P14Q6AVK",
- "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.683e0ac2d4be0234870fcafa.xml",
- "format": "XML",
- "mediaType": "text/xml",
- "title": "Original Metadata"
- }
- ],
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_683e0ac2d4be0234870fcafa",
- "keyword": [
- "AK",
- "AL",
- "AR",
- "AZ",
- "Alabama",
- "Alaska",
- "Arizona",
- "Arkansas",
- "CA",
- "CO",
- "CT",
- "California",
- "Colorado",
- "Connecticut",
- "DC",
- "DE",
- "Delaware",
- "District of Columbia",
- "FL",
- "Florida",
- "GA",
- "Georgia",
- "HI",
- "Hawaii",
- "IA",
- "ID",
- "IL",
- "IN",
- "Idaho",
- "Illinois",
- "Indiana",
- "Iowa",
- "KS",
- "KY",
- "Kansas",
- "Kentucky",
- "LA",
- "Louisiana",
- "MA",
- "MD",
- "ME",
- "MI",
- "MN",
- "MO",
- "MS",
- "MT",
- "Maine",
- "Maryland",
- "Massachusetts",
- "Michigan",
- "Minnesota",
- "Mississippi",
- "Missouri",
- "Montana",
- "NC",
- "ND",
- "NE",
- "NH",
- "NJ",
- "NM",
- "NV",
- "NY",
- "Nebraska",
- "Nevada",
- "New Hampshire",
- "New Jersey",
- "New Mexico",
- "New York",
- "North Carolina",
- "North Dakota",
- "OH",
- "OK",
- "OR",
- "Ohio",
- "Oklahoma",
- "Oregon",
- "PA",
- "PR",
- "Pennsylvania",
- "Puerto Rico",
- "RI",
- "Rhode Island",
- "SC",
- "SD",
- "South Carolina",
- "South Dakota",
- "TN",
- "TX",
- "Tennessee",
- "Texas",
- "US",
- "USGS:683e0ac2d4be0234870fcafa",
- "UT",
- "United States",
- "Utah",
- "VA",
- "VI",
- "VT",
- "Vermont",
- "Virgin Islands of the U.S.",
- "Virginia",
- "WA",
- "WI",
- "WV",
- "WY",
- "Washington",
- "West Virginia",
- "Wisconsin",
- "Wyoming",
- "aquaculture",
- "aquaculture water use",
- "commercial",
- "commercial water use",
- "consumptive use",
- "domestic",
- "domestic water use",
- "environment",
- "industrial",
- "industrial water use",
- "inlandWaters",
- "irrigation",
- "irrigation water use",
- "livestock",
- "livestock water use",
- "mining",
- "mining water use",
- "public supply",
- "public supply water use",
- "reclaimed wastewater",
- "self-supplied water use",
- "thermoelectric power generation",
- "thermoelectric power generation water use",
- "water resources",
- "water use"
- ],
- "modified": "2026-10-05T00:00:00Z",
- "publisher": {
- "@type": "org:Organization",
- "name": "U.S. Geological Survey"
- },
- "spatial": "-179.146711, 17.88328, 179.778470112501, 71.387815",
- "theme": [
- "geospatial"
- ],
- "title": "Archive of water use data aggregated at different spatial scales in the United States: 2005"
- },
- "description": "&lt;p&gt;This data release contains estimated water-use data for 2005 aggregated to\nthe county and HUC8 levels in the United States. The included datasets\nare:&lt;/p&gt;\n&lt;p&gt;\"&lt;a href = \"https://pubs.usgs.gov/circ/1344/\"&gt;Estimated Use\nof Water in the United States in 2005&lt;/a&gt;\" (USGS Circular 1344, Kenny and\nothers, 2009). This publication includes water use estimates at the county and HUC8 levels\nfor all of the United States.&lt;/p&gt;\n&lt;p&gt;Revised county and revised HUC8 estimates of water use in the United\nStates in 2005. These data are based on Kenny and others, 2009, but include\nrevisions to estimates made after the original publication.&lt;/p&gt;\n&lt;p&gt;\"&lt;a href = \"https://pubs.usgs.gov/sir/2018/5049/sir20185049.pdf\"&gt;Estimates\nof Water Use and Trends in the Colorado River Basin, Southwestern United\nStates, 1985–2010&lt;/a&gt;\" (USGS Scientific Investigations Report 2018-5049,\nMaupin and others, 2018). This publication includes water use estimates at the\nHUC8 level, but includes only the area within the Colorado River Basin. Supporting\ndata available in the companion &lt;a href = \"https://doi.org/10.5066/F7P84B5G\"&gt;data release&lt;/a&gt; (Ivahnenko and Maupin, 2018).&lt;/p&gt;\n&lt;p&gt;The estimates are shown for the following water use categories: public\nsupply, domestic, commercial, irrigation, thermoelectric power, industrial,\nmining, livestock, and aquaculture. Each estimate dataset includes an\nassociated methods table that describes the method used for each estimate\nby water use category. Please visit the metadata.xml for more\ninformation.&lt;/p&gt;\n&lt;p&gt;Note on the irrigation attributes: This dataset includes multiple irrigation attributes: irrigation\nundifferentiated (IR), crop irrigation (IC), golf course irrigation (IG) and total irrigation (IT). Datasets\nprior to 2000 only include IR. Other irrigation attributes are available in 2000 and later datasets after the\nUSGS began providing estimates for both crop irrigation and golf course irrigation. The 2000 to 2015\ndatasets include either IR for each area (county, HUC, aquifer) or estimates for both crop irrigation (IC) and\ngolf course irrigation (IG). The 2000-2015 datasets also include a total irrigation (IT) attribute that\nis either equal to IR, or is equal to the sum of IG and IC. Estimates of irrigation undifferentiated (IR) were generated for \ncertain states or areas in the 2000-2015 datasets when the input data required to separate out crop irrigation\nfrom golf course irrigation were unavailable. Therefore, IR may or may not include\ngolf course irrigation (IG).&lt;/p&gt;\n&lt;p&gt;Note on irrigation methods: when data is given in a total irrigation (IT) column, there is no corresponding column in the methods.\nSince the value of IT is derived from the values of IR, IG, and IC, as described above, these columns may be consulted for methods information.&lt;/p&gt;\n&lt;p&gt;Note on the population figures: 2005 county-level population served estimates were either made as a total population served by a public supply system, or as separate estimates for population served by a public supply system with a groundwater source and served by a public supply system with a surface water source. Counties will have either a single PS-TOPop value, or else separate PS-GWPop and PS-SWPop values. &lt;/p&gt;\n&lt;br&gt;",
- "distribution_titles": [
- "Digital Data",
- "Original Metadata"
- ],
- "harvest_record": "https://catalog.data.gov/harvest_record/66bb552e-174c-40f2-99f9-80617059a61c",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/66bb552e-174c-40f2-99f9-80617059a61c/raw",
- "has_download": true,
- "has_spatial": true,
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_683e0ac2d4be0234870fcafa",
- "keyword": [
- "AK",
- "AL",
- "AR",
- "AZ",
- "Alabama",
- "Alaska",
- "Arizona",
- "Arkansas",
- "CA",
- "CO",
- "CT",
- "California",
- "Colorado",
- "Connecticut",
- "DC",
- "DE",
- "Delaware",
- "District of Columbia",
- "FL",
- "Florida",
- "GA",
- "Georgia",
- "HI",
- "Hawaii",
- "IA",
- "ID",
- "IL",
- "IN",
- "Idaho",
- "Illinois",
- "Indiana",
- "Iowa",
- "KS",
- "KY",
- "Kansas",
- "Kentucky",
- "LA",
- "Louisiana",
- "MA",
- "MD",
- "ME",
- "MI",
- "MN",
- "MO",
- "MS",
- "MT",
- "Maine",
- "Maryland",
- "Massachusetts",
- "Michigan",
- "Minnesota",
- "Mississippi",
- "Missouri",
- "Montana",
- "NC",
- "ND",
- "NE",
- "NH",
- "NJ",
- "NM",
- "NV",
- "NY",
- "Nebraska",
- "Nevada",
- "New Hampshire",
- "New Jersey",
- "New Mexico",
- "New York",
- "North Carolina",
- "North Dakota",
- "OH",
- "OK",
- "OR",
- "Ohio",
- "Oklahoma",
- "Oregon",
- "PA",
- "PR",
- "Pennsylvania",
- "Puerto Rico",
- "RI",
- "Rhode Island",
- "SC",
- "SD",
- "South Carolina",
- "South Dakota",
- "TN",
- "TX",
- "Tennessee",
- "Texas",
- "US",
- "USGS:683e0ac2d4be0234870fcafa",
- "UT",
- "United States",
- "Utah",
- "VA",
- "VI",
- "VT",
- "Vermont",
- "Virgin Islands of the U.S.",
- "Virginia",
- "WA",
- "WI",
- "WV",
- "WY",
- "Washington",
- "West Virginia",
- "Wisconsin",
- "Wyoming",
- "aquaculture",
- "aquaculture water use",
- "commercial",
- "commercial water use",
- "consumptive use",
- "domestic",
- "domestic water use",
- "environment",
- "industrial",
- "industrial water use",
- "inlandWaters",
- "irrigation",
- "irrigation water use",
- "livestock",
- "livestock water use",
- "mining",
- "mining water use",
- "public supply",
- "public supply water use",
- "reclaimed wastewater",
- "self-supplied water use",
- "thermoelectric power generation",
- "thermoelectric power generation water use",
- "water resources",
- "water use"
- ],
- "last_harvested_date": "2026-10-08T04:19:29.152839",
- "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": "archive-of-water-use-data-aggregated-at-different-spatial-scales-in-the-united-states-2005",
- "spatial_centroid": {
- "lat": 39.285094,
- "lon": -35.576638554999604
- },
- "spatial_shape": {
- "coordinates": [
- [
- [
- -179.146711,
- 17.88328
- ],
- [
- -179.146711,
- 71.387815
- ],
- [
- 179.778470112501,
- 71.387815
- ],
- [
- 179.778470112501,
- 17.88328
- ],
- [
- -179.146711,
- 17.88328
- ]
- ]
- ],
- "type": "Polygon"
- },
- "theme": [
- "geospatial"
- ],
- "title": "Archive of water use data aggregated at different spatial scales in the United States: 2005",
- "type": "dataset"
- },
- {
- "_score": 3.503992,
- "_sort": [
- 1791433166422,
- 3.503992,
- 0,
- "afb37715-5fb0-4e31-ac49-a6e50c8f1872"
- ],
- "access_level": "public",
- "dcat": {
- "accessLevel": "public",
- "bureauCode": [
- "010:12"
- ],
- "contactPoint": {
- "@type": "vcard:Contact",
- "fn": "Cheryl A Dieter",
- "hasEmail": "mailto:cadieter@usgs.gov"
- },
- "description": "&lt;p&gt;This data release contains estimated water-use data for 2000 aggregated to\nthe county and principal aquifer levels in the United States, and HUC8 levels\nfor select states. The included datasets are:&lt;/p&gt;\n&lt;p&gt;\"&lt;a href = \"https://pubs.usgs.gov/circ/2004/circ1268/\"&gt;Estimated Use\nof Water in the United States in 2000&lt;/a&gt;\" (USGS Circular 1268, Hutson and\nothers, 2004). This publication includes water use estimates at the county level\nfor all of the United States.&lt;/p&gt;\n&lt;p&gt;\"&lt;a href = \"https://pubs.usgs.gov/circ/2005/1279/\"&gt;Estimated Withdrawals\nfrom Principal Aquifers in the United States, 2000&lt;/a&gt;\" (USGS Circular 1279,\nMaupin and others, 2005). This publication includes water use estimates by\nprincipal aquifer for all of the United States.&lt;/p&gt;\n&lt;p&gt;Revised county and revised aquifer estimates of water use in the United States\nin 2000. These county and aquifer level data are based on Hutson and\nothers, 2004, and Maupin and others, 2005, respectively, but include revisions to\nestimates made after the original publications.&lt;/p&gt;\n&lt;p&gt;\"&lt;a href = \"https://pubs.usgs.gov/sir/2018/5049/sir20185049.pdf\"&gt;Estimates\nof Water Use and Trends in the Colorado River Basin, Southwestern United\nStates, 1985–2010&lt;/a&gt;\" (USGS Scientific Investigations Report 2018-5049,\nMaupin and others, 2018). This publication includes water use estimates at the\nHUC8 level, but includes only the area within the Colorado River Basin. Supporting \ndata available in the companion &lt;a href = \"https://doi.org/10.5066/F7P84B5G\"&gt;data release&lt;/a&gt; (Ivahnenko and Maupin, 2018).&lt;/p&gt;\n&lt;p&gt;The estimates are shown for the following water use categories: public\nsupply, domestic, commercial, irrigation, thermoelectric power, industrial,\nmining, livestock, and aquaculture. Each estimate dataset includes an\nassociated methods table that describes the method used for each estimate\nby water use category. Please visit the metadata.xml for more\ninformation.&lt;/p&gt;\n&lt;p&gt;Note on the irrigation attributes: This dataset includes multiple irrigation attributes: irrigation\nundifferentiated (IR), crop irrigation (IC), golf course irrigation (IG) and total irrigation (IT). Datasets\nprior to 2000 only include IR. Other irrigation attributes are available in 2000 and later datasets after the\nUSGS began providing estimates for both crop irrigation and golf course irrigation. The 2000 to 2015\ndatasets include either IR for each area (county, HUC, aquifer) or estimates for both crop irrigation (IC) and\ngolf course irrigation (IG). The 2000-2015 datasets also include a total irrigation (IT) attribute that\nis either equal to IR, or is equal to the sum of IG and IC. Estimates of irrigation undifferentiated (IR) were generated for \ncertain states or areas in the 2000-2015 datasets when the input data required to separate out crop irrigation\nfrom golf course irrigation were unavailable. Therefore, IR may or may not include\ngolf course irrigation (IG).&lt;/p&gt;\n&lt;p&gt;Note on irrigation methods: when data is given in a total irrigation (IT) column, there is no corresponding column in the methods.\nSince the value of IT is derived from the values of IR, IG, and IC, as described above, these columns may be consulted for methods information.&lt;/p&gt;\n&lt;br&gt;",
- "distribution": [
- {
- "@type": "dcat:Distribution",
- "accessURL": "https://doi.org/10.5066/P14Q6AVK",
- "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.683e0ac2d4be0234870fcaf8.xml",
- "format": "XML",
- "mediaType": "text/xml",
- "title": "Original Metadata"
- }
- ],
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_683e0ac2d4be0234870fcaf8",
- "keyword": [
- "AK",
- "AL",
- "AR",
- "AZ",
- "Alabama",
- "Alaska",
- "Arizona",
- "Arkansas",
- "CA",
- "CO",
- "CT",
- "California",
- "Colorado",
- "Connecticut",
- "DC",
- "DE",
- "Delaware",
- "District of Columbia",
- "FL",
- "Florida",
- "GA",
- "Georgia",
- "HI",
- "Hawaii",
- "IA",
- "ID",
- "IL",
- "IN",
- "Idaho",
- "Illinois",
- "Indiana",
- "Iowa",
- "KS",
- "KY",
- "Kansas",
- "Kentucky",
- "LA",
- "Louisiana",
- "MA",
- "MD",
- "ME",
- "MI",
- "MN",
- "MO",
- "MS",
- "MT",
- "Maine",
- "Maryland",
- "Massachusetts",
- "Michigan",
- "Minnesota",
- "Mississippi",
- "Missouri",
- "Montana",
- "NC",
- "ND",
- "NE",
- "NH",
- "NJ",
- "NM",
- "NV",
- "NY",
- "Nebraska",
- "Nevada",
- "New Hampshire",
- "New Jersey",
- "New Mexico",
- "New York",
- "North Carolina",
- "North Dakota",
- "OH",
- "OK",
- "OR",
- "Ohio",
- "Oklahoma",
- "Oregon",
- "PA",
- "PR",
- "Pennsylvania",
- "Puerto Rico",
- "RI",
- "Rhode Island",
- "SC",
- "SD",
- "South Carolina",
- "South Dakota",
- "TN",
- "TX",
- "Tennessee",
- "Texas",
- "US",
- "USGS:683e0ac2d4be0234870fcaf8",
- "UT",
- "United States",
- "Utah",
- "VA",
- "VI",
- "VT",
- "Vermont",
- "Virgin Islands of the U.S.",
- "Virginia",
- "WA",
- "WI",
- "WV",
- "WY",
- "Washington",
- "West Virginia",
- "Wisconsin",
- "Wyoming",
- "aquaculture",
- "aquaculture water use",
- "commercial",
- "commercial water use",
- "consumptive use",
- "domestic",
- "domestic water use",
- "environment",
- "industrial",
- "industrial water use",
- "inlandWaters",
- "irrigation",
- "irrigation water use",
- "livestock",
- "livestock water use",
- "mining",
- "mining water use",
- "public supply",
- "public supply water use",
- "reclaimed wastewater",
- "self-supplied water use",
- "thermoelectric power generation",
- "thermoelectric power generation water use",
- "water resources",
- "water use"
- ],
- "modified": "2026-10-05T00:00:00Z",
- "publisher": {
- "@type": "org:Organization",
- "name": "U.S. Geological Survey"
- },
- "spatial": "-179.146711, 17.88328, 179.778470112501, 71.387815",
- "theme": [
- "geospatial"
- ],
- "title": "Archive of water use data aggregated at different spatial scales in the United States: 2000"
- },
- "description": "&lt;p&gt;This data release contains estimated water-use data for 2000 aggregated to\nthe county and principal aquifer levels in the United States, and HUC8 levels\nfor select states. The included datasets are:&lt;/p&gt;\n&lt;p&gt;\"&lt;a href = \"https://pubs.usgs.gov/circ/2004/circ1268/\"&gt;Estimated Use\nof Water in the United States in 2000&lt;/a&gt;\" (USGS Circular 1268, Hutson and\nothers, 2004). This publication includes water use estimates at the county level\nfor all of the United States.&lt;/p&gt;\n&lt;p&gt;\"&lt;a href = \"https://pubs.usgs.gov/circ/2005/1279/\"&gt;Estimated Withdrawals\nfrom Principal Aquifers in the United States, 2000&lt;/a&gt;\" (USGS Circular 1279,\nMaupin and others, 2005). This publication includes water use estimates by\nprincipal aquifer for all of the United States.&lt;/p&gt;\n&lt;p&gt;Revised county and revised aquifer estimates of water use in the United States\nin 2000. These county and aquifer level data are based on Hutson and\nothers, 2004, and Maupin and others, 2005, respectively, but include revisions to\nestimates made after the original publications.&lt;/p&gt;\n&lt;p&gt;\"&lt;a href = \"https://pubs.usgs.gov/sir/2018/5049/sir20185049.pdf\"&gt;Estimates\nof Water Use and Trends in the Colorado River Basin, Southwestern United\nStates, 1985–2010&lt;/a&gt;\" (USGS Scientific Investigations Report 2018-5049,\nMaupin and others, 2018). This publication includes water use estimates at the\nHUC8 level, but includes only the area within the Colorado River Basin. Supporting \ndata available in the companion &lt;a href = \"https://doi.org/10.5066/F7P84B5G\"&gt;data release&lt;/a&gt; (Ivahnenko and Maupin, 2018).&lt;/p&gt;\n&lt;p&gt;The estimates are shown for the following water use categories: public\nsupply, domestic, commercial, irrigation, thermoelectric power, industrial,\nmining, livestock, and aquaculture. Each estimate dataset includes an\nassociated methods table that describes the method used for each estimate\nby water use category. Please visit the metadata.xml for more\ninformation.&lt;/p&gt;\n&lt;p&gt;Note on the irrigation attributes: This dataset includes multiple irrigation attributes: irrigation\nundifferentiated (IR), crop irrigation (IC), golf course irrigation (IG) and total irrigation (IT). Datasets\nprior to 2000 only include IR. Other irrigation attributes are available in 2000 and later datasets after the\nUSGS began providing estimates for both crop irrigation and golf course irrigation. The 2000 to 2015\ndatasets include either IR for each area (county, HUC, aquifer) or estimates for both crop irrigation (IC) and\ngolf course irrigation (IG). The 2000-2015 datasets also include a total irrigation (IT) attribute that\nis either equal to IR, or is equal to the sum of IG and IC. Estimates of irrigation undifferentiated (IR) were generated for \ncertain states or areas in the 2000-2015 datasets when the input data required to separate out crop irrigation\nfrom golf course irrigation were unavailable. Therefore, IR may or may not include\ngolf course irrigation (IG).&lt;/p&gt;\n&lt;p&gt;Note on irrigation methods: when data is given in a total irrigation (IT) column, there is no corresponding column in the methods.\nSince the value of IT is derived from the values of IR, IG, and IC, as described above, these columns may be consulted for methods information.&lt;/p&gt;\n&lt;br&gt;",
- "distribution_titles": [
- "Digital Data",
- "Original Metadata"
- ],
- "harvest_record": "https://catalog.data.gov/harvest_record/74ce8c14-cefb-4ece-8846-14a8494aedca",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/74ce8c14-cefb-4ece-8846-14a8494aedca/raw",
- "has_download": true,
- "has_spatial": true,
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_683e0ac2d4be0234870fcaf8",
- "keyword": [
- "AK",
- "AL",
- "AR",
- "AZ",
- "Alabama",
- "Alaska",
- "Arizona",
- "Arkansas",
- "CA",
- "CO",
- "CT",
- "California",
- "Colorado",
- "Connecticut",
- "DC",
- "DE",
- "Delaware",
- "District of Columbia",
- "FL",
- "Florida",
- "GA",
- "Georgia",
- "HI",
- "Hawaii",
- "IA",
- "ID",
- "IL",
- "IN",
- "Idaho",
- "Illinois",
- "Indiana",
- "Iowa",
- "KS",
- "KY",
- "Kansas",
- "Kentucky",
- "LA",
- "Louisiana",
- "MA",
- "MD",
- "ME",
- "MI",
- "MN",
- "MO",
- "MS",
- "MT",
- "Maine",
- "Maryland",
- "Massachusetts",
- "Michigan",
- "Minnesota",
- "Mississippi",
- "Missouri",
- "Montana",
- "NC",
- "ND",
- "NE",
- "NH",
- "NJ",
- "NM",
- "NV",
- "NY",
- "Nebraska",
- "Nevada",
- "New Hampshire",
- "New Jersey",
- "New Mexico",
- "New York",
- "North Carolina",
- "North Dakota",
- "OH",
- "OK",
- "OR",
- "Ohio",
- "Oklahoma",
- "Oregon",
- "PA",
- "PR",
- "Pennsylvania",
- "Puerto Rico",
- "RI",
- "Rhode Island",
- "SC",
- "SD",
- "South Carolina",
- "South Dakota",
- "TN",
- "TX",
- "Tennessee",
- "Texas",
- "US",
- "USGS:683e0ac2d4be0234870fcaf8",
- "UT",
- "United States",
- "Utah",
- "VA",
- "VI",
- "VT",
- "Vermont",
- "Virgin Islands of the U.S.",
- "Virginia",
- "WA",
- "WI",
- "WV",
- "WY",
- "Washington",
- "West Virginia",
- "Wisconsin",
- "Wyoming",
- "aquaculture",
- "aquaculture water use",
- "commercial",
- "commercial water use",
- "consumptive use",
- "domestic",
- "domestic water use",
- "environment",
- "industrial",
- "industrial water use",
- "inlandWaters",
- "irrigation",
- "irrigation water use",
- "livestock",
- "livestock water use",
- "mining",
- "mining water use",
- "public supply",
- "public supply water use",
- "reclaimed wastewater",
- "self-supplied water use",
- "thermoelectric power generation",
- "thermoelectric power generation water use",
- "water resources",
- "water use"
- ],
- "last_harvested_date": "2026-10-08T04:19:26.422259",
- "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": "archive-of-water-use-data-aggregated-at-different-spatial-scales-in-the-united-states-2000",
- "spatial_centroid": {
- "lat": 39.285094,
- "lon": -35.576638554999604
- },
- "spatial_shape": {
- "coordinates": [
- [
- [
- -179.146711,
- 17.88328
- ],
- [
- -179.146711,
- 71.387815
- ],
- [
- 179.778470112501,
- 71.387815
- ],
- [
- 179.778470112501,
- 17.88328
- ],
- [
- -179.146711,
- 17.88328
- ]
- ]
- ],
- "type": "Polygon"
- },
- "theme": [
- "geospatial"
- ],
- "title": "Archive of water use data aggregated at different spatial scales in the United States: 2000",
- "type": "dataset"
- },
- {
- "_score": 10.283173,
- "_sort": [
- 1791433144476,
- 10.283173,
- 2,
- "2c5bba23-c14d-487d-90ba-ce454b31ee54"
- ],
- "access_level": "public",
- "dcat": {
- "accessLevel": "public",
- "bureauCode": [
- "010:12"
- ],
- "contactPoint": {
- "@type": "vcard:Contact",
- "fn": "Ryan F. Thompson",
- "hasEmail": "mailto:rcthomps@usgs.gov"
- },
- "description": "This geospatial data set contains an interpolated 3-D surface or, triangulated-irregular network (TIN), of the \nsubstrate surface between cross-sections 22 and 35 following construction of Emergent Sandbar Habitat \nnear River Mile 770. The surface was generated from points collected by the echosounder and real-time \nkinematic (RTK) GPS on cross-sections in the downstream project reach surrounding the construction \narea at River Mile 770 below Gavins Point Dam on the Missouri River in South Dakota.",
- "distribution": [
- {
- "@type": "dcat:Distribution",
- "accessURL": "https://doi.org/10.5066/P9C80ZRZ",
- "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.817e2f6f-af3e-4cce-92df-47f65c69879a.xml",
- "format": "XML",
- "mediaType": "text/xml",
- "title": "Original Metadata"
- }
- ],
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_817e2f6f-af3e-4cce-92df-47f65c69879a",
- "keyword": [
- "Hydrographic Survey",
- "USGS:817e2f6f-af3e-4cce-92df-47f65c69879a",
- "environment",
- "geoscientificInformation",
- "inlandWaters"
- ],
- "modified": "2026-02-17T00:00:00Z",
- "publisher": {
- "@type": "org:Organization",
- "name": "U.S. Geological Survey"
- },
- "spatial": "-96.876339, 42.712693, -96.851104, 42.732505",
- "theme": [
- "geospatial"
- ],
- "title": "Postconstruction tin of land surface on the Missouri River downstream from Gavins Point Dam near River Mile 769.8"
- },
- "description": "This geospatial data set contains an interpolated 3-D surface or, triangulated-irregular network (TIN), of the \nsubstrate surface between cross-sections 22 and 35 following construction of Emergent Sandbar Habitat \nnear River Mile 770. The surface was generated from points collected by the echosounder and real-time \nkinematic (RTK) GPS on cross-sections in the downstream project reach surrounding the construction \narea at River Mile 770 below Gavins Point Dam on the Missouri River in South Dakota.",
- "distribution_titles": [
- "Digital Data",
- "Original Metadata"
- ],
- "harvest_record": "https://catalog.data.gov/harvest_record/42ebd32d-90fe-46ae-9f39-cfc22c38e909",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/42ebd32d-90fe-46ae-9f39-cfc22c38e909/raw",
- "has_download": true,
- "has_spatial": true,
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_817e2f6f-af3e-4cce-92df-47f65c69879a",
- "keyword": [
- "Hydrographic Survey",
- "USGS:817e2f6f-af3e-4cce-92df-47f65c69879a",
- "environment",
- "geoscientificInformation",
- "inlandWaters"
- ],
- "last_harvested_date": "2026-10-08T04:19:04.476913",
- "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": "postconstruction-tin-of-land-surface-on-the-missouri-river-downstream-from-gavins-point-da",
- "spatial_centroid": {
- "lat": 42.7206178,
- "lon": -96.866245
- },
- "spatial_shape": {
- "coordinates": [
- [
- [
- -96.876339,
- 42.712693
- ],
- [
- -96.876339,
- 42.732505
- ],
- [
- -96.851104,
- 42.732505
- ],
- [
- -96.851104,
- 42.712693
- ],
- [
- -96.876339,
- 42.712693
- ]
- ]
- ],
- "type": "Polygon"
- },
- "theme": [
- "geospatial"
- ],
- "title": "Postconstruction tin of land surface on the Missouri River downstream from Gavins Point Dam near River Mile 769.8",
- "type": "dataset"
- },
- {
- "_score": 9.053213,
- "_sort": [
- 1791433023745,
- 9.053213,
- 6,
- "801011d8-3cb2-4d6f-b4bc-f837e77a2d33"
- ],
- "access_level": "public",
- "dcat": {
- "accessLevel": "public",
- "bureauCode": [
- "010:12"
- ],
- "contactPoint": {
- "@type": "vcard:Contact",
- "fn": "Ronald B. Zelt",
- "hasEmail": "mailto:rbzelt@usgs.gov"
- },
- "description": "Mineral resource areas are defined as those areas with a high likelihood of\ncontaining occurrences of valuable mineral deposits. A variety of sources of\nminerals information were consulted in compiling a digital map of mineral\nresource areas for metallic minerals in the Yellowstone River Basin.\nSource scales varied, but were no smaller than 1:500,000. The data are\nintended for river-basin level assessment and general analysis and are not\nsuitable for site-specific analyses.",
- "distribution": [
- {
- "@type": "dcat:Distribution",
- "accessURL": "https://water.usgs.gov/lookup/getspatial?yell_mineral",
- "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.b5b40ce4-0aca-4cc1-bf76-7e59d46122fa.xml",
- "format": "XML",
- "mediaType": "text/xml",
- "title": "Original Metadata"
- }
- ],
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_b5b40ce4-0aca-4cc1-bf76-7e59d46122fa",
- "keyword": [
- "Montana",
- "USGS:b5b40ce4-0aca-4cc1-bf76-7e59d46122fa",
- "Wyoming",
- "Yellowstone River",
- "Yellowstone River Basin",
- "environment",
- "geoscientificInformation",
- "inlandWaters",
- "metals",
- "mineral deposits",
- "mineralized areas",
- "uranium"
- ],
- "modified": "2020-11-17T00:00:00Z",
- "publisher": {
- "@type": "org:Organization",
- "name": "U.S. Geological Survey"
- },
- "spatial": "-110.75132496, 42.4786913, -105.68596591, 45.62788483",
- "theme": [
- "geospatial"
- ],
- "title": "Mineral resource areas of the Yellowstone River Basin, Montana and Wyoming"
- },
- "description": "Mineral resource areas are defined as those areas with a high likelihood of\ncontaining occurrences of valuable mineral deposits. A variety of sources of\nminerals information were consulted in compiling a digital map of mineral\nresource areas for metallic minerals in the Yellowstone River Basin.\nSource scales varied, but were no smaller than 1:500,000. The data are\nintended for river-basin level assessment and general analysis and are not\nsuitable for site-specific analyses.",
- "distribution_titles": [
- "Digital Data",
- "Original Metadata"
- ],
- "harvest_record": "https://catalog.data.gov/harvest_record/c74accb1-70bb-4283-8ab9-ee53d3765483",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/c74accb1-70bb-4283-8ab9-ee53d3765483/raw",
- "has_download": true,
- "has_spatial": true,
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_b5b40ce4-0aca-4cc1-bf76-7e59d46122fa",
- "keyword": [
- "Montana",
- "USGS:b5b40ce4-0aca-4cc1-bf76-7e59d46122fa",
- "Wyoming",
- "Yellowstone River",
- "Yellowstone River Basin",
- "environment",
- "geoscientificInformation",
- "inlandWaters",
- "metals",
- "mineral deposits",
- "mineralized areas",
- "uranium"
- ],
- "last_harvested_date": "2026-10-08T04:17:03.745458",
- "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": 6,
- "publisher": "U.S. Geological Survey",
- "slug": "mineral-resource-areas-of-the-yellowstone-river-basin-montana-and-wyoming",
- "spatial_centroid": {
- "lat": 43.738368711999996,
- "lon": -108.72518133999999
- },
- "spatial_shape": {
- "coordinates": [
- [
- [
- -110.75132496,
- 42.4786913
- ],
- [
- -110.75132496,
- 45.62788483
- ],
- [
- -105.68596591,
- 45.62788483
- ],
- [
- -105.68596591,
- 42.4786913
- ],
- [
- -110.75132496,
- 42.4786913
- ]
- ]
- ],
- "type": "Polygon"
- },
- "theme": [
- "geospatial"
- ],
- "title": "Mineral resource areas of the Yellowstone River Basin, Montana and Wyoming",
- "type": "dataset"
- },
- {
- "_score": 10.283173,
- "_sort": [
- 1791432993603,
- 10.283173,
- 1,
- "bedaa09e-ea00-4ad9-9b43-27c05a7ac753"
- ],
- "access_level": "public",
- "dcat": {
- "accessLevel": "public",
- "bureauCode": [
- "010:12"
- ],
- "contactPoint": {
- "@type": "vcard:Contact",
- "fn": "Ryan F. Thompson",
- "hasEmail": "mailto:rcthomps@usgs.gov"
- },
- "description": "This data set contains land surface elevations on dry and wadeable portions of transects for the hydrographic \nsurveys on the Missouri River below Gavins Point Dam near River Mile 769.8. This data provides land surface \nelevations of shallow-water, shore, and highbank for the Missouri River following construction of Emergent \nSandbar Habitat.",
- "distribution": [
- {
- "@type": "dcat:Distribution",
- "accessURL": "https://doi.org/10.5066/P9NQDOFR",
- "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.1c1dd2c7-efbe-4def-afff-1138dc63fbe9.xml",
- "format": "XML",
- "mediaType": "text/xml",
- "title": "Original Metadata"
- }
- ],
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_1c1dd2c7-efbe-4def-afff-1138dc63fbe9",
- "keyword": [
- "Hydrographic Survey",
- "USGS:1c1dd2c7-efbe-4def-afff-1138dc63fbe9",
- "environment",
- "geoscientificInformation",
- "inlandWaters"
- ],
- "modified": "2026-02-17T00:00:00Z",
- "publisher": {
- "@type": "org:Organization",
- "name": "U.S. Geological Survey"
- },
- "spatial": "-96.913901, 42.701339, -96.822211, 42.737252",
- "theme": [
- "geospatial"
- ],
- "title": "GPS data collected for transects as part of the post-construction survey at Emergent Sandbar Habitat site on the Missouri River near river mile 769.8"
- },
- "description": "This data set contains land surface elevations on dry and wadeable portions of transects for the hydrographic \nsurveys on the Missouri River below Gavins Point Dam near River Mile 769.8. This data provides land surface \nelevations of shallow-water, shore, and highbank for the Missouri River following construction of Emergent \nSandbar Habitat.",
- "distribution_titles": [
- "Digital Data",
- "Original Metadata"
- ],
- "harvest_record": "https://catalog.data.gov/harvest_record/e6d310c8-14e2-4810-ac18-f192a2070a9d",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/e6d310c8-14e2-4810-ac18-f192a2070a9d/raw",
- "has_download": true,
- "has_spatial": true,
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_1c1dd2c7-efbe-4def-afff-1138dc63fbe9",
- "keyword": [
- "Hydrographic Survey",
- "USGS:1c1dd2c7-efbe-4def-afff-1138dc63fbe9",
- "environment",
- "geoscientificInformation",
- "inlandWaters"
- ],
- "last_harvested_date": "2026-10-08T04:16:33.603279",
- "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": 1,
- "publisher": "U.S. Geological Survey",
- "slug": "gps-data-collected-for-transects-as-part-of-the-post-construction-survey-at-emergent-sandb",
- "spatial_centroid": {
- "lat": 42.7157042,
- "lon": -96.877225
- },
- "spatial_shape": {
- "coordinates": [
- [
- [
- -96.913901,
- 42.701339
- ],
- [
- -96.913901,
- 42.737252
- ],
- [
- -96.822211,
- 42.737252
- ],
- [
- -96.822211,
- 42.701339
- ],
- [
- -96.913901,
- 42.701339
- ]
- ]
- ],
- "type": "Polygon"
- },
- "theme": [
- "geospatial"
- ],
- "title": "GPS data collected for transects as part of the post-construction survey at Emergent Sandbar Habitat site on the Missouri River near river mile 769.8",
- "type": "dataset"
- },
- {
- "_score": 3.4915428,
- "_sort": [
- 1791432933218,
- 3.4915428,
- 0,
- "8caf3170-81c7-4d99-a7f7-722cd0b1e281"
- ],
- "access_level": "public",
- "dcat": {
- "accessLevel": "public",
- "bureauCode": [
- "010:12"
- ],
- "contactPoint": {
- "@type": "vcard:Contact",
- "fn": "Cheryl A Dieter",
- "hasEmail": "mailto:cadieter@usgs.gov"
- },
- "description": "&lt;p&gt;This data release package contains water-use estimates from 1985 to 2015 aggregated to 8-digit Hydrologic Unit (HUC8), county, and aquifer level for the United States. The U.S. Geological Survey (USGS) is responsible for estimating water-use in the United States. In cooperation with local, State, and Federal agencies, the USGS has published estimates of water use in the United States every 5 years, beginning in 1950. This data release contains HUC8 and county-level water-use data that support state and national-level estimates published in Solley and others, 1988, 1993, 1998; Hutson and others, 2004; Kenny and others, 2009; Maupin and others, 2014, and Dieter and others, 2018, as well as several other information products described within the child data releases. This dataset contains data for public supply, domestic, commercial, irrigation, thermoelectric power, industrial, mining, livestock, and aquaculture water-use categories.&lt;/p&gt;\n&lt;p&gt;This data release also serves as an archive of the USGS Aggregate Water-Use Data System (AWUDS) database which was the information store for the above publications. AWUDS was decommissioned in 2025. Some of the values which were entered and kept in this database were not explicitly published in the past publications, but are included in this data release for archival purposes. Some data in the publications cited here may not come from values marked as published in the AWUDS database. In some such cases, the data may be found in the revised datasets here. In other cases, where the data was not stored in AWUDS at all, please contact the original study authors.&lt;/p&gt;",
- "distribution": [
- {
- "@type": "dcat:Distribution",
- "accessURL": "https://doi.org/10.5066/P14Q6AVK",
- "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.6827de79d4be02693eeabe73.xml",
- "format": "XML",
- "mediaType": "text/xml",
- "title": "Original Metadata"
- }
- ],
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_6827de79d4be02693eeabe73",
- "keyword": [
- "AK",
- "AL",
- "AR",
- "AZ",
- "Alabama",
- "Alaska",
- "Arizona",
- "Arkansas",
- "CA",
- "CO",
- "CT",
- "California",
- "Colorado",
- "Connecticut",
- "DC",
- "DE",
- "Delaware",
- "District of Columbia",
- "FL",
- "Florida",
- "GA",
- "Georgia",
- "HI",
- "Hawaii",
- "IA",
- "ID",
- "IL",
- "IN",
- "Idaho",
- "Illinois",
- "Indiana",
- "Iowa",
- "KS",
- "KY",
- "Kansas",
- "Kentucky",
- "LA",
- "Louisiana",
- "MA",
- "MD",
- "ME",
- "MI",
- "MN",
- "MO",
- "MS",
- "MT",
- "Maine",
- "Maryland",
- "Massachusetts",
- "Michigan",
- "Minnesota",
- "Mississippi",
- "Missouri",
- "Montana",
- "NC",
- "ND",
- "NE",
- "NH",
- "NJ",
- "NM",
- "NV",
- "NY",
- "Nebraska",
- "Nevada",
- "New Hampshire",
- "New Jersey",
- "New Mexico",
- "New York",
- "North Carolina",
- "North Dakota",
- "OH",
- "OK",
- "OR",
- "Ohio",
- "Oklahoma",
- "Oregon",
- "PA",
- "PR",
- "Pennsylvania",
- "Puerto Rico",
- "RI",
- "Rhode Island",
- "SC",
- "SD",
- "South Carolina",
- "South Dakota",
- "TN",
- "TX",
- "Tennessee",
- "Texas",
- "US",
- "USGS:6827de79d4be02693eeabe73",
- "UT",
- "United States",
- "Utah",
- "VA",
- "VI",
- "VT",
- "Vermont",
- "Virgin Islands of the U.S.",
- "Virginia",
- "WA",
- "WI",
- "WV",
- "WY",
- "Washington",
- "West Virginia",
- "Wisconsin",
- "Wyoming",
- "aquaculture",
- "aquaculture water use",
- "commercial",
- "commercial water use",
- "consumptive use",
- "domestic",
- "domestic water use",
- "environment",
- "industrial",
- "industrial water use",
- "inlandWaters",
- "irrigation",
- "irrigation water use",
- "livestock",
- "livestock water use",
- "mining",
- "mining water use",
- "public supply",
- "public supply water use",
- "reclaimed wastewater",
- "self-supplied water use",
- "thermoelectric power generation",
- "thermoelectric power generation water use",
- "water resources",
- "water use"
- ],
- "modified": "2026-10-05T00:00:00Z",
- "publisher": {
- "@type": "org:Organization",
- "name": "U.S. Geological Survey"
- },
- "spatial": "-179.231086, -14.601813, 179.859681071256, 71.439786",
- "theme": [
- "geospatial"
- ],
- "title": "Water use data for various spatial scales in the United States, 1985-2015"
- },
- "description": "&lt;p&gt;This data release package contains water-use estimates from 1985 to 2015 aggregated to 8-digit Hydrologic Unit (HUC8), county, and aquifer level for the United States. The U.S. Geological Survey (USGS) is responsible for estimating water-use in the United States. In cooperation with local, State, and Federal agencies, the USGS has published estimates of water use in the United States every 5 years, beginning in 1950. This data release contains HUC8 and county-level water-use data that support state and national-level estimates published in Solley and others, 1988, 1993, 1998; Hutson and others, 2004; Kenny and others, 2009; Maupin and others, 2014, and Dieter and others, 2018, as well as several other information products described within the child data releases. This dataset contains data for public supply, domestic, commercial, irrigation, thermoelectric power, industrial, mining, livestock, and aquaculture water-use categories.&lt;/p&gt;\n&lt;p&gt;This data release also serves as an archive of the USGS Aggregate Water-Use Data System (AWUDS) database which was the information store for the above publications. AWUDS was decommissioned in 2025. Some of the values which were entered and kept in this database were not explicitly published in the past publications, but are included in this data release for archival purposes. Some data in the publications cited here may not come from values marked as published in the AWUDS database. In some such cases, the data may be found in the revised datasets here. In other cases, where the data was not stored in AWUDS at all, please contact the original study authors.&lt;/p&gt;",
- "distribution_titles": [
- "Digital Data",
- "Original Metadata"
- ],
- "harvest_record": "https://catalog.data.gov/harvest_record/370a408c-0a78-4b47-a377-aa45eaf1f102",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/370a408c-0a78-4b47-a377-aa45eaf1f102/raw",
- "has_download": true,
- "has_spatial": true,
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_6827de79d4be02693eeabe73",
- "keyword": [
- "AK",
- "AL",
- "AR",
- "AZ",
- "Alabama",
- "Alaska",
- "Arizona",
- "Arkansas",
- "CA",
- "CO",
- "CT",
- "California",
- "Colorado",
- "Connecticut",
- "DC",
- "DE",
- "Delaware",
- "District of Columbia",
- "FL",
- "Florida",
- "GA",
- "Georgia",
- "HI",
- "Hawaii",
- "IA",
- "ID",
- "IL",
- "IN",
- "Idaho",
- "Illinois",
- "Indiana",
- "Iowa",
- "KS",
- "KY",
- "Kansas",
- "Kentucky",
- "LA",
- "Louisiana",
- "MA",
- "MD",
- "ME",
- "MI",
- "MN",
- "MO",
- "MS",
- "MT",
- "Maine",
- "Maryland",
- "Massachusetts",
- "Michigan",
- "Minnesota",
- "Mississippi",
- "Missouri",
- "Montana",
- "NC",
- "ND",
- "NE",
- "NH",
- "NJ",
- "NM",
- "NV",
- "NY",
- "Nebraska",
- "Nevada",
- "New Hampshire",
- "New Jersey",
- "New Mexico",
- "New York",
- "North Carolina",
- "North Dakota",
- "OH",
- "OK",
- "OR",
- "Ohio",
- "Oklahoma",
- "Oregon",
- "PA",
- "PR",
- "Pennsylvania",
- "Puerto Rico",
- "RI",
- "Rhode Island",
- "SC",
- "SD",
- "South Carolina",
- "South Dakota",
- "TN",
- "TX",
- "Tennessee",
- "Texas",
- "US",
- "USGS:6827de79d4be02693eeabe73",
- "UT",
- "United States",
- "Utah",
- "VA",
- "VI",
- "VT",
- "Vermont",
- "Virgin Islands of the U.S.",
- "Virginia",
- "WA",
- "WI",
- "WV",
- "WY",
- "Washington",
- "West Virginia",
- "Wisconsin",
- "Wyoming",
- "aquaculture",
- "aquaculture water use",
- "commercial",
- "commercial water use",
- "consumptive use",
- "domestic",
- "domestic water use",
- "environment",
- "industrial",
- "industrial water use",
- "inlandWaters",
- "irrigation",
- "irrigation water use",
- "livestock",
- "livestock water use",
- "mining",
- "mining water use",
- "public supply",
- "public supply water use",
- "reclaimed wastewater",
- "self-supplied water use",
- "thermoelectric power generation",
- "thermoelectric power generation water use",
- "water resources",
- "water use"
- ],
- "last_harvested_date": "2026-10-08T04:15:33.218887",
- "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": "water-use-data-for-various-spatial-scales-in-the-united-states-1985-2015",
- "spatial_centroid": {
- "lat": 19.814826599999996,
- "lon": -35.5947791714976
- },
- "spatial_shape": {
- "coordinates": [
- [
- [
- -179.231086,
- -14.601813
- ],
- [
- -179.231086,
- 71.439786
- ],
- [
- 179.859681071256,
- 71.439786
- ],
- [
- 179.859681071256,
- -14.601813
- ],
- [
- -179.231086,
- -14.601813
- ]
- ]
- ],
- "type": "Polygon"
- },
- "theme": [
- "geospatial"
- ],
- "title": "Water use data for various spatial scales in the United States, 1985-2015",
- "type": "dataset"
- },
- {
- "_score": 3.4733696,
- "_sort": [
- 1791432690407,
- 3.4733696,
- 0,
- "3863d855-907e-46af-bbb8-79ae950f7106"
- ],
- "access_level": "public",
- "dcat": {
- "accessLevel": "public",
- "bureauCode": [
- "010:12"
- ],
- "contactPoint": {
- "@type": "vcard:Contact",
- "fn": "Cheryl A Dieter",
- "hasEmail": "mailto:cadieter@usgs.gov"
- },
- "description": "&lt;p&gt;This data release contains estimated water-use data for 2015 aggregated to\nthe county and principal aquifer levels in the United States, and HUC8 levels\nfor select states. The included datasets are:&lt;/p&gt;\n&lt;p&gt;\"&lt;a href = \"https://pubs.usgs.gov/publication/cir1441\"&gt;Estimated Use\nof Water in the United States in 2015&lt;/a&gt;\" (USGS Circular 1441, Dieter and\nothers, 2018). County data for all of the United States.&lt;/p&gt;\n&lt;p&gt;\"&lt;a href = \"https://doi.org/10.5066/F7TB15V5\"&gt;Estimated Use of Water in the\nUnited States County-Level Data for 2015 (ver. 2.0, June 2018)&lt;/a&gt;\" (USGS Data Release, Dieter and\nothers, 2018). County data for all of the United States. These county-level data are based on\nDieter and others, 2018b, but include revisions to estimates\nmade after original publication.&lt;/p&gt;\n&lt;p&gt;\"&lt;a href = \"https://doi.org/10.3133/cir1464\"&gt;Estimated Groundwater Withdrawals from Principal Aquifers\nin the United States, 2015&lt;/a&gt;\" (USGS circular 1464, Lovelace and others, 2020). Contains published\ncounty-aquifer data for all the United States with supporting data available in the companion\n&lt;a href = \"https://doi.org/10.5066/P9EI0KMR\"&gt;data release&lt;/a&gt;. Revised county-aquifer data included\nin this data release are based on Lovelace and others, 2020a and 2020b.&lt;/p&gt;\n&lt;p&gt;Revised HUC8 data were entered as optional in AWUDS, but were published as parts\nof local studies (Painter, 2019; Sargent et al., 2020; Ivahnenko and Galanter,\n2021; Gonthier and Painter, 2020).&lt;/p&gt;\n&lt;p&gt;The estimates are shown for the following water use categories: public\nsupply, domestic, commercial, irrigation, thermoelectric power, industrial,\nmining, livestock, and aquaculture. Each estimate dataset includes an\nassociated methods table that describes the method used for each estimate\nby water use category. Please visit the metadata.xml for more\ninformation.&lt;/p&gt;\n&lt;p&gt;Note on the irrigation attributes: This dataset includes multiple irrigation attributes: irrigation\nundifferentiated (IR), crop irrigation (IC), golf course irrigation (IG) and total irrigation (IT). Datasets\nprior to 2000 only include IR. Other irrigation attributes are availabl