This layer contains all monitoring locations that have been processed through the Watershed Information Network (WIN) application. WIN is the DEP repository for reporting and managing environmental water quality data from non-regulatory databases or data sources from a range of data providers across the State of Florida. WIN replaced Florida STORET as an active data repository. WIN data, together with Florida STORET data, are used for a range of purposes, including but not limited to Impaired Waters Rule assessments, development of Total Maximum Daily Loads, Basin Management Action Plans, Strategic Monitoring Plans, and criteria development, including Site Specific Alternative Criteria (SSAC). Data providers to WIN and users of those data include federal, DEP and other state agencies, local agencies, academic institutions, volunteer organizations, private laboratories, and others. Monitoring locations must pass all WIN Minimum Data Quality Standards (MDQS), be individually visually verified by the organization that loaded the locations, and be associated to a NHD Reach Code, when required. Reach codes are required for all types of monitoring locations except for Oceans, Wetlands, Spring Boils, Spring Vents, and Ground Water types.

This data is part of the series of maps that covers the whole of Australia at a scale of 1:250 000 (1cm on a map represents 2.5km on the ground) and comprises 513 maps. This is the largest scale at which published topographic maps cover the entire continent. Data is downloadable in various distribution formats.

*The data for this dataset is updated daily. The date(s) displayed in the details section on our Open Data Portal is based on the last date the metadata was updated and not the refresh date of the data itself.*This layer contains monitoring locations that have been processed through the Watershed Information Network (WIN) application and have been sampled at least once. WIN is the DEP repository for reporting and managing environmental quality data from non-regulatory databases or data sources from a range of data providers across the State of Florida. WIN replaces Florida STORET as an active data repository. WIN data, together with Florida STORET data, are used for a range of purposes, including but not limited to Impaired Waters Rule assessments, development of Total Maximum Daily Loads, Basin Management Action Plans, Strategic Monitoring Plans, and criteria development, including Site Specific Alternative Criteria (SSAC). Data providers to WIN and users of those data include federal, DEP and other state agencies, local agencies, academic institutions, volunteer organizations, private laboratories, and others. Monitoring locations must pass all WIN Minimum Data Quality Standards (MDQS), be individually visually verified by the organization that loaded the locations, and be associated to a NHD Reach Code, when required. Reach codes are required for all types of monitoring locations except for Oceans, Wetlands, Spring Boils, Spring Vents, and Ground Water types.

This is a web mapping application for the Tahoe-Central Sierra Initiative (TCSI), which was been added to the Watershed Information Network. This application helps you orient on the TCSI and the projects, landscapes, and partnerships within. Explore this exciting initiative by panning around the map and clicking on different projects to learn more and to link additional websites.The TCSI, a part of the Sierra Nevada Watershed Improvement Program (WIP), brings together innovative approaches to increase the pace and scale of restoration work that gets done across the watersheds of the Central Sierra Nevada and Lake Tahoe areas. For more information, click here.

This is a web map of approved state wood processing and biomass utilization power plants in the Sierra Nevada Region. This map shows non-viable, current, and future wood processing and biomass utilization infrastructure.The data for this map was collected from the Biomass Facilities Reporting System, which is a system provided by the UC Davis California Biomass Collaborative. The Biomass Facilities Reporting System is a database of California’s biomass facilities, and includes environmental and performance data and GIS mapping. Additionally, the Reporting System contains an assessment of total biomass resources and total biomass power generation for California for 2005, with projections for 2010, 2017, and 2020 that can be viewed online or downloaded as Excel spreadsheets.This story map is part of the Watershed Improvement Program (WIP) and Watershed Information Network (WIN).The Wood Processing and Biomass Utilization in the Sierra Nevada Region web map is a feature service used in the Sierra Nevada Cascade story map; therefore, it should not be altered or deleted under any circumstances while the story map is in use.

It is about updating to GIS information database, Decision Support Tool (DST) in collaboration with IWMI. With the support of the Fish for Livelihoods field team and IPs (MFF, BRAC Myanmar, PACT Myanmar, and KMSS) staff, collection of Global Positioning System GPS location data for year-1 (2019-20) 1,167 SSA farmer ponds, and year-2 (2020-21) 1,485 SSA farmer ponds were completed with different GPS mobile applications: My GPS Coordinates, GPS Status & Toolbox, GPS Essentials, Smart GPS Coordinates Locator and GPS Coordinates. The Soil and Water Assessment Tool (SWAT) model that integrates climate change analysis with water availability will provide an important tool informing decisions on scaling pond adoption. It can also contribute to a Decision Support Tool to better target pond scaling. GIS Data also contribute to identify the location point of the F4L SSA farmers ponds on the Myanmar Map by fiscal year from 1 to 5.

This data is part of the series of maps that covers the whole of Australia at a scale of 1:250 000 (1cm on a map represents 2.5km on the ground) and comprises 513 maps. This is the largest scale at which published topographic maps cover the entire continent. Data is downloadable in various distribution formats.

This is a collection of all GPS- and computer-generated geospatial data specific to the Alpine Treeline Warming Experiment (ATWE), located on Niwot Ridge, Colorado, USA. The experiment ran between 2008 and 2016, and consisted of three sites spread across an elevation gradient. Geospatial data for all three experimental sites and cone/seed collection locations are included in this package. ––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––– Geospatial files include cone collection, experimental site, seed trap, and other GPS location/terrain data. File types include ESRI shapefiles, ESRI grid files or Arc/Info binary grids, TIFFs (.tif), and keyhole markup language (.kml) files. Trimble-imported data include plain text files (.txt), Trimble COR (CorelDRAW) files, and Trimble SSF (Standard Storage Format) files. Microsoft Excel (.xlsx) and comma-separated values (.csv) files corresponding to the attribute tables of many files within this package are also included. A complete list of files can be found in this document in the “Data File Organization” section in the included Data User's Guide. Maps are also included in this data package for reference and use. These maps are separated into two categories, 2021 maps and legacy maps, which were made in 2010. Each 2021 map has one copy in portable network graphics (.png) format, and the other in .pdf format. All legacy maps are in .pdf format. .png image files can be opened with any compatible programs, such as Preview (Mac OS) and Photos (Windows). All GIS files were imported into geopackages (.gpkg) using QGIS, and double-checked for compatibility and data/attribute integrity using ESRI ArcGIS Pro. Note that files packaged within geopackages will open in ArcGIS Pro with “main.” preceding each file name, and an extra column named “geom” defining geometry type in the attribute table. The contents of each geospatial file remain intact, unless otherwise stated in “niwot_geospatial_data_list_07012021.pdf/.xlsx”. This list of files can be found as an .xlsx and a .pdf in this archive. As an open-source file format, files within gpkgs (TIFF, shapefiles, ESRI grid or “Arc/Info Binary”) can be read using both QGIS and ArcGIS Pro, and any other geospatial softwares. Text and .csv files can be read using TextEdit/Notepad/any simple text-editing software; .csv’s can also be opened using Microsoft Excel and R. .kml files can be opened using Google Maps or Google Earth, and Trimble files are most compatible with Trimble’s GPS Pathfinder Office software. .xlsx files can be opened using Microsoft Excel. PDFs can be opened using Adobe Acrobat Reader, and any other compatible programs. A selection of original shapefiles within this archive were generated using ArcMap with associated FGDC-standardized metadata (xml file format). We are including these original files because they contain metadata only accessible using ESRI programs at this time, and so that the relationship between shapefiles and xml files is maintained. Individual xml files can be opened (without a GIS-specific program) using TextEdit or Notepad. Since ESRI’s compatibility with FGDC metadata has changed since the generation of these files, many shapefiles will require upgrading to be compatible with ESRI’s latest versions of geospatial software. These details are also noted in the “niwot_geospatial_data_list_07012021” file.

This is a web map of approved state wood processing and biomass utilization data that highlights active projects (in development) and proposed projects. The map shows future biomass infrastructure inside and outside the Sierra Nevada Conservancy boundary. Future biomass infrastructure outside the Sierra Conservancy Boundary are included due to their future role in processing Sierra biomass. The data for this map was collected from the Biomass Facilities Reporting System, which is a system provided by the UC Davis California Biomass Collaborative. The Biomass Facilities Reporting System is a database of California’s biomass facilities, and includes environmental and performance data and GIS mapping. Additionally, the Reporting System contains an assessment of total biomass resources and total biomass power generation for California for 2005, with projections for 2010, 2017, and 2020 that can be viewed online or downloaded as Excel spreadsheets.This story map is part of the Watershed Improvement Program (WIP) and Watershed Information Network (WIN).The Approved State Wood Processing and Biomass Utilization - Future web map is a feature service used in the Sierra Nevada Cascade story map; therefore, it should not be altered or deleted under any circumstances while the story map is in use.

The Welsh Information for Nature Bases Solution or WINS Project (previously known as SCCAN), showed a range of national opportunities to manage natural resources more sustainably in the SoNaRR report. This current phase has looked at a more local level to provide input to the Area Statement process. The result is a comprehensive map atlas of opportunity, demand and constraint maps, with accompanying spatial data, to facilitate broad, cross-sectorial discussions on sustainable management of natural resources (SMNR).

SCCAN aims to promote more holistic management of natural resources through spatial mapping of opportunity areas for land management interventions. The mapping focusses on priorities of the Welsh Government Natural Resources Policy (2017) arising from the Environment (Wales) Act (2016), which puts an emphasis on taking a place-based approach and delivering nature-based solutions.

The five policy themes considered by the project: Ecological Resilience and Connectivity; Marine and Freshwater Water Quality; Natural Flood Management; Woodland Planting (for various objectives); Urban and Peri-Urban Green Infrastructure.

The Moisture Deficit and Surplus map uses moisture difference z-score datasets developed by scientists Frank Koch, John Coulston, and William Smith of the Forest Service Southern Research Station. A z-score is a statistical method for assessing how different a value is from the mean (average). Mean moisture values were derived from historical data on precipitation and potential evapotranspiration, from 1900 to 2023. The greater the z-value, the larger the departure from average conditions, indicating larger moisture deficits or surpluses. Thus, the dark red areas on this map indicate a one-year period with extremely dry conditions, relative to the average conditions over the past century. For further reading on the methodology used to build these maps, see the publication here: https://www.fs.usda.gov/treesearch/pubs/43361

The dataset comprises the GIS layer of 405 major river and lake basins of the world. Data was collected within the framework of the BGR-UNESCO "World-wide Hydrogeological Mapping and Assessment Programme" (WHYMAP): www.whymap.org

This dataset was updated May, 2025.This ownership dataset was generated primarily from CPAD data, which already tracks the majority of ownership information in California. CPAD is utilized without any snapping or clipping to FRA/SRA/LRA. CPAD has some important data gaps, so additional data sources are used to supplement the CPAD data. Currently this includes the most currently available data from BIA, DOD, and FWS. Additional sources may be added in subsequent versions. Decision rules were developed to identify priority layers in areas of overlap.Starting in 2022, the ownership dataset was compiled using a new methodology. Previous versions attempted to match federal ownership boundaries to the FRA footprint, and used a manual process for checking and tracking Federal ownership changes within the FRA, with CPAD ownership information only being used for SRA and LRA lands. The manual portion of that process was proving difficult to maintain, and the new method (described below) was developed in order to decrease the manual workload, and increase accountability by using an automated process by which any final ownership designation could be traced back to a specific dataset.The current process for compiling the data sources includes:* Clipping input datasets to the California boundary* Filtering the FWS data on the Primary Interest field to exclude lands that are managed by but not owned by FWS (ex: Leases, Easements, etc)* Supplementing the BIA Pacific Region Surface Trust lands data with the Western Region portion of the LAR dataset which extends into California.* Filtering the BIA data on the Trust Status field to exclude areas that represent mineral rights only.* Filtering the CPAD data on the Ownership Level field to exclude areas that are Privately owned (ex: HOAs)* In the case of overlap, sources were prioritized as follows: FWS > BIA > CPAD > DOD* As an exception to the above, DOD lands on FRA which overlapped with CPAD lands that were incorrectly coded as non-Federal were treated as an override, such that the DOD designation could win out over CPAD.In addition to this ownership dataset, a supplemental _source dataset is available which designates the source that was used to determine the ownership in this dataset. Data Sources:* GreenInfo Network's California Protected Areas Database (CPAD2023a). https://www.calands.org/cpad/; https://www.calands.org/wp-content/uploads/2023/06/CPAD-2023a-Database-Manual.pdf* US Fish and Wildlife Service FWSInterest dataset (updated December, 2023). https://gis-fws.opendata.arcgis.com/datasets/9c49bd03b8dc4b9188a8c84062792cff_0/explore* Department of Defense Military Bases dataset (updated September 2023) https://catalog.data.gov/dataset/military-bases* Bureau of Indian Affairs, Pacific Region, Surface Trust and Pacific Region Office (PRO) land boundaries data (2023) via John Mosley John.Mosley@bia.gov* Bureau of Indian Affairs, Land Area Representations (LAR) and BIA Regions datasets (updated Oct 2019) https://biamaps.doi.gov/bogs/datadownload.html Data Gaps & Changes:Known gaps include several BOR, ACE and Navy lands which were not included in CPAD nor the DOD MIRTA dataset. Our hope for future versions is to refine the process by pulling in additional data sources to fill in some of those data gaps. Additionally, any feedback received about missing or inaccurate data can be taken back to the appropriate source data where appropriate, so fixes can occur in the source data, instead of just in this dataset.25_1: The CPAD Input dataset was amended to merge large gaps in certain areas of the state known to be erroneous, such as Yosemite National Park, and to eliminate overlaps from the original input. The FWS input dataset was updated in February of 2025, and the DOD input dataset was updated in October of 2024. The BIA input dataset was the same as was used for the previous ownership version.24_1: Input datasets this year included numerous changes since the previous version, particularly the CPAD and DOD inputs. Of particular note was the re-addition of Camp Pendleton to the DOD input dataset, which is reflected in this version of the ownership dataset. We were unable to obtain an updated input for tribral data, so the previous inputs was used for this version.23_1: A few discrepancies were discovered between data changes that occurred in CPAD when compared with parcel data. These issues will be taken to CPAD for clarification for future updates, but for ownership23_1 it reflects the data as it was coded in CPAD at the time. In addition, there was a change in the DOD input data between last year and this year, with the removal of Camp Pendleton. An inquiry was sent for clarification on this change, but for ownership23_1 it reflects the data per the DOD input dataset.22_1 : represents an initial version of ownership with a new methodology which was developed under a short timeframe. A comparison with previous versions of ownership highlighted the some data gaps with the current version. Some of these known gaps include several BOR, ACE and Navy lands which were not included in CPAD nor the DOD MIRTA dataset. Our hope for future versions is to refine the process by pulling in additional data sources to fill in some of those data gaps. In addition, any topological errors (like overlaps or gaps) that exist in the input datasets may thus carry over to the ownership dataset. Ideally, any feedback received about missing or inaccurate data can be taken back to the relevant source data where appropriate, so fixes can occur in the source data, instead of just in this dataset.

description: The Digital Geologic Map (Surficial Map) of the Mount Hancock Quadrangle, Yellowstone National Park and adjoining area, Wyoming is composed of GIS data layers, two ancillary GIS tables, a Windows Help File with ancillary map text, figures and tables, GIS data layer and table FGDC metadata and ArcMap 9.1 layer (.LYR) files. The data were completed as a component of the Geologic Resources Evaluation (GRE) program, a National Park Service (NPS) Inventory and Monitoring (I&M) funded program that is administered by the NPS Geologic Resources Division (GRD). All GIS and ancillary tables were produced as per the NPS GRE Geology-GIS Geodatabase Data Model v. 1.4. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data is available as a 9.1 personal geodatabase (mtha_geology.mdb), as coverage and table export (.E00) files, and as a shapefile (.SHP) and DBASEIV (.DBF) table files. The GIS data projection is NAD83, UTM Zone 12N. That data is within the area of interest of Yellowstone National Park.; abstract: The Digital Geologic Map (Surficial Map) of the Mount Hancock Quadrangle, Yellowstone National Park and adjoining area, Wyoming is composed of GIS data layers, two ancillary GIS tables, a Windows Help File with ancillary map text, figures and tables, GIS data layer and table FGDC metadata and ArcMap 9.1 layer (.LYR) files. The data were completed as a component of the Geologic Resources Evaluation (GRE) program, a National Park Service (NPS) Inventory and Monitoring (I&M) funded program that is administered by the NPS Geologic Resources Division (GRD). All GIS and ancillary tables were produced as per the NPS GRE Geology-GIS Geodatabase Data Model v. 1.4. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data is available as a 9.1 personal geodatabase (mtha_geology.mdb), as coverage and table export (.E00) files, and as a shapefile (.SHP) and DBASEIV (.DBF) table files. The GIS data projection is NAD83, UTM Zone 12N. That data is within the area of interest of Yellowstone National Park.

description: The Digital Geologic Map of parts of the Bridger and Lodge Grass 30' X 60' Quadrangles, Montana is composed of GIS data layers, two ancillary GIS tables, a Windows Help File with ancillary map text, figures and tables, GIS data layer and table FGDC metadata and ArcMap 9.1 layer (.LYR) files. The data were completed as a component of the Geologic Resource Evaluation (GRE) program, a National Park Service (NPS) Inventory and Monitoring (I&M) funded program that is administered by the NPS Geologic Resources Division (GRD). All GIS and ancillary tables were produced as per the NPS GRE Geology-GIS Geodatabase Data Model v. 1.4. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data is available as a 9.1 personal geodatabase (lgbr_geology.mdb), as coverage and table export (.E00) files, and as a shapefile (.SHP) and DBASEIV (.DBF) table files. The GIS data projection is NAD83, UTM Zone 12N. That data is within the area of interest of Bighorn Canyon National Recreation Area.; abstract: The Digital Geologic Map of parts of the Bridger and Lodge Grass 30' X 60' Quadrangles, Montana is composed of GIS data layers, two ancillary GIS tables, a Windows Help File with ancillary map text, figures and tables, GIS data layer and table FGDC metadata and ArcMap 9.1 layer (.LYR) files. The data were completed as a component of the Geologic Resource Evaluation (GRE) program, a National Park Service (NPS) Inventory and Monitoring (I&M) funded program that is administered by the NPS Geologic Resources Division (GRD). All GIS and ancillary tables were produced as per the NPS GRE Geology-GIS Geodatabase Data Model v. 1.4. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data is available as a 9.1 personal geodatabase (lgbr_geology.mdb), as coverage and table export (.E00) files, and as a shapefile (.SHP) and DBASEIV (.DBF) table files. The GIS data projection is NAD83, UTM Zone 12N. That data is within the area of interest of Bighorn Canyon National Recreation Area.

description: The Digital Geologic Map of Tallgrass Prairie National Preserve, Kansas is composed of GIS data layers complete with ArcMap 9.2 layer (.LYR) files, two ancillary GIS tables, a Windows Help File with ancillary map text, figures and tables, a FGDC metadata record and a 9.2 ArcMap (.MXD) Document that displays the digital map in 9.2 ArcGIS. The data were completed as a component of the Geologic Resource Evaluation (GRE) program, a National Park Service (NPS) Inventory and Monitoring (I&M) funded program that is administered by the NPS Geologic Resources Division (GRD). Source geologic maps and data used to complete this GRE digital dataset were provided by the following: Kansas Geological Survey (KGS). Detailed information concerning the sources used and their contribution the GRE product are listed in the Source Citation sections(s) of this metadata record (tapr_metadata.txt; available at http://nrdata.nps.gov/tapr/nrdata/geology/gis/tapr_metadata.xml). All GIS and ancillary tables were produced as per the NPS GRE Geology-GIS Geodatabase Data Model v. 2.0. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data is available as a 9.2 personal geodatabase (tapr_geology.mdb), and as shapefile (.SHP) and DBASEIV (.DBF) table files. The GIS data projection is NAD83, UTM Zone 14N. That data is within the area of interest of Tallgrass Prairie National Preserve.; abstract: The Digital Geologic Map of Tallgrass Prairie National Preserve, Kansas is composed of GIS data layers complete with ArcMap 9.2 layer (.LYR) files, two ancillary GIS tables, a Windows Help File with ancillary map text, figures and tables, a FGDC metadata record and a 9.2 ArcMap (.MXD) Document that displays the digital map in 9.2 ArcGIS. The data were completed as a component of the Geologic Resource Evaluation (GRE) program, a National Park Service (NPS) Inventory and Monitoring (I&M) funded program that is administered by the NPS Geologic Resources Division (GRD). Source geologic maps and data used to complete this GRE digital dataset were provided by the following: Kansas Geological Survey (KGS). Detailed information concerning the sources used and their contribution the GRE product are listed in the Source Citation sections(s) of this metadata record (tapr_metadata.txt; available at http://nrdata.nps.gov/tapr/nrdata/geology/gis/tapr_metadata.xml). All GIS and ancillary tables were produced as per the NPS GRE Geology-GIS Geodatabase Data Model v. 2.0. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data is available as a 9.2 personal geodatabase (tapr_geology.mdb), and as shapefile (.SHP) and DBASEIV (.DBF) table files. The GIS data projection is NAD83, UTM Zone 14N. That data is within the area of interest of Tallgrass Prairie National Preserve.

Transmission lines metadata:Based on the HSIP Gold 2013 power transmission lines data. The HSIP data was clipped to California and then dissolved on the fields BUS_NAME and VOLT_CLASS. This information was provided by calema_gis on ArcGIS Online.Hydroelectric power plants metadata:Operable electric generating plants in the United States by energy source. This includes all plants that are operating, on standby, or short- or long-term out of service with a combined nameplate capacity of 1 MW or more. Only hydroelectric power plants where displayed by creating a definition query. The sources of this information include EIA-860, Annual Electric Generator Report, EIA-860M, Monthly Update to the Annual Electric Generator Report and EIA-923, Power Plant Operations Report. This data was provided by the U.S. Energy Information Administration. For more information on this data or the U.S. Energy Information Administration, please use the following link:https://www.eia.gov/maps/layer_info-m.phpThe Transmission Lines and Hydroelectric Power Plants web map is a feature service used in the Sierra Nevada Cascade story map; therefore, it should not be altered or deleted under any circumstances while the story map is in use.

description: The Digital Geologic Map of the Fort Laramie Area, Wyoming is composed of GIS data layers, two ancillary GIS tables, a Windows Help File with ancillary map text, figures and tables, GIS data layer and table FGDC metadata and ArcView 3.X legend (.AVL) files. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) funded program that is administered by the NPS Geologic Resources Division (GRD). All GIS and ancillary tables were produced as per the NPS GIS-Geology Coverage/Shapefile Data Model (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data is available as coverage and table export (.E00) files, and as a shapefile (.SHP) and DBASEIV (.DBF) table files. The GIS data projection is NAD83, UTM Zone 13N. That data is within the area of interest of Fort Laramie National Historic Site.; abstract: The Digital Geologic Map of the Fort Laramie Area, Wyoming is composed of GIS data layers, two ancillary GIS tables, a Windows Help File with ancillary map text, figures and tables, GIS data layer and table FGDC metadata and ArcView 3.X legend (.AVL) files. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) funded program that is administered by the NPS Geologic Resources Division (GRD). All GIS and ancillary tables were produced as per the NPS GIS-Geology Coverage/Shapefile Data Model (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data is available as coverage and table export (.E00) files, and as a shapefile (.SHP) and DBASEIV (.DBF) table files. The GIS data projection is NAD83, UTM Zone 13N. That data is within the area of interest of Fort Laramie National Historic Site.

The Digital Geologic Map of the Old Faithful 15' Quadrangle, Wyoming is composed of GIS data layers, two ancillary GIS tables, a Windows Help File with ancillary map text, figures and tables, GIS data layer and table FGDC metadata and ArcMap 9.1 layer (.LYR) files. The data were completed as a component of the Geologic Resources Evaluation (GRE) program, a National Park Service (NPS) Inventory and Monitoring (I&M) funded program that is administered by the NPS Geologic Resources Division (GRD). All GIS and ancillary tables were produced as per the NPS GRE Geology-GIS Geodatabase Data Model v. 1.4. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data is available as a 9.1 personal geodatabase (oldf_geology.mdb), as coverage and table export (.E00) files, and as a shapefile (.SHP) and DBASEIV (.DBF) table files. The GIS data projection is NAD83, UTM Zone 12N. That data is within the area of interest of Yellowstone National Park.

GIS for Area Statements Technical ReportNovember 2018 version 1.1Technical information about the WINS map layers can be found in this report.