AndreaBozzo/ceres-open-data-index huggingface dataset:
Landscape Condition (Midwest Conservation Blueprint 2026 Indicator)

Definition This indicator represents landscape health based on landcover type and land use across the Midwest Landscape. It prioritizes areas based on proximity to natural or non-natural landcover types, plus intensity of development and land use. Pixels can take the following values: * 1 – Altered landscape * 2 – Partly natural landscape * 3 – Mostly natural landscape * 4 – Natural landscape * 5 – Very natural landscape Selection This indicator was chosen as a targetable, important feature of the MLI goals that will be used to track conditions over time and prioritize areas for conservation. Indicators were defined through elicitation and prioritization exercises with federal and state participants. Criteria for the indicators includes 1) actionable, 2) measurable, 3) relevant to multiple groups across the region, and/or 4) representative of other social and/or environmental values. Input Data & Mapping Steps This indicator originates from the National Land Cover Database, Maus et al. Global-scale mining polygons, LANDFIRE Existing Vegetation Type, and the Midwest Conservation Blueprint Grasslands indicator. To create this layer, MLI partners, members, and staff completed the following mapping steps: projected all input data to NAD83 (2011) UTM Zone 15N, reclassified NLCD into three categories: 1 – Heavily altered, 2 – Altered, and 3 – Natural. Next, we classified all mining polygons as 2 – Altered, and classified all LANDFIRE "Quarries-Strip Mines-Gravel Pits-Well and Wind Pads" and "Northeastern North American Temperate Forest Plantation" pixels as 2 – Altered. Then, we extracted likely grassland pixels and classified them as 3 – Natural, mosaiced all rasters into a single layer, and used Focal statistics to calculate and average the alteration of the landscape over three spatial scales. The final raster contains the following classes: 1 – Heavily altered landscape, 2 – Altered landscape, 3 – Partly natural landscape, 4 – Mostly natural landscape, 5 – Natural landscape, 6 – Very natural landscape. Finally, highly altered areas were removed using our Highly Altered Areas Mask. For full mapping details, please refer to the [Midwest Conservation Blueprint Development Process]. For a complete download of all Blueprint input and output data, visit the M[idwest Conservation Blueprint 2026 Data Download.]
ACJV_E2EM_simplified

This data set represents the extent, approximate location and type of wetlands and deepwater habitats in the United States and its Territories. These data delineate the areal extent of wetlands and surface waters as defined by Cowardin et al. (1979). The National Wetlands Inventory - Version 2, Surface Waters and Wetlands Inventory was derived by retaining the wetland and deepwater polygons that compose the NWI digital wetlands spatial data layer and reintroducing any linear wetland or surface water features that were orphaned from the original NWI hard copy maps by converting them to narrow polygonal features. Additionally, the data are supplemented with hydrography data, buffered to become polygonal features, as a secondary source for any single-line stream features not mapped by the NWI and to complete segmented connections. Wetland mapping conducted in WA, OR, CA, NV and ID after 2012 and most other projects mapped after 2015 were mapped to include all surface water features and are not derived data. The linear hydrography dataset used to derive Version 2 was the U.S. Geological Survey's National Hydrography Dataset (NHD). Specific information on the NHD version used to derive Version 2 and where Version 2 was mapped can be found in the 'comments' field of the Wetlands_Project_Metadata feature class. Certain wetland habitats are excluded from the National mapping program because of the limitations of aerial imagery as the primary data source used to detect wetlands. These habitats include seagrasses or submerged aquatic vegetation that are found in the intertidal and subtidal zones of estuaries and near shore coastal waters. Some deepwater reef communities (coral or tuberficid worm reefs) have also been excluded from the inventory. These habitats, because of their depth, go undetected by aerial imagery. By policy, the Service also excludes certain types of "farmed wetlands" as may be defined by the Food Security Act or that do not coincide with the Cowardin et al. definition. Contact the Service's Regional Wetland Coordinator for additional information on what types of farmed wetlands are included on wetland maps. This dataset should be used in conjunction with the Wetlands_Project_Metadata layer, which contains project specific wetlands mapping procedures and information on dates, scales and emulsion of imagery used to map the wetlands within specific project boundaries.
Forests (Midwest Conservation Blueprint 2026 Indicator)

Definition This indicator represents forest heath based on the availability and risk of mortality of forested stands within the Midwest Landscape. It prioritizes areas based on locations of forested stands and risks from major forest insects and diseases. Pixels can take the following values: * 1 – Pixels at hazard for mortality losses exceeding 25% of their 2012 basal area over the 2013-2027 time frame. * 2 – Pixels considered at risk in the National Insect and Disease 2012 assessment, but that are likely no longer at risk. * 3 – Treed areas, but not modeled as “At Risk.” Selection This indicator was chosen as a targetable, important feature of the MLI goals that will be used to track conditions over time and prioritize areas for conservation. Indicators were defined through elicitation and prioritization exercises with federal and state participants. Criteria for the indicators includes 1) actionable, 2) measurable, 3) relevant to multiple groups across the region, and/or 4) representative of other social and/or environmental values. Input Data & Mapping Steps This indicator originates from the U.S. Forest Service National Insect and Disease Risk Map and the National Land Cover Database (NLCD). To create this layer, MLI partners, members, and staff completed the following mapping steps: projected all input data to NAD83 (2011) UTM Zone 15N, resampled the Forest layer to a 30m raster, and reclassed the raster into the following 3 classes: 1 – Pixels at hazard for mortality losses exceeding 25% of their 2012 basal area over the 2013-2027 time frame, 2 – Pixels considered at risk in the NIDRM_2012 assessment, but that are likely no longer at risk, 3 – Treed areas, but not modeled as “At Risk”. Due to the low resolution of the Forest data, many non-forest pixels are incorrectly classified as treed stands. To correct the issue, pixels classified by NLCD as non-forest were removed from the Forest data. Finally, we removed highly altered areas from this layer using our Highly Altered Areas mask. For full mapping details, please refer to the [Midwest Conservation Blueprint Development Process]. For a complete download of all Blueprint input and output data, visit the [Midwest Conservation Blueprint 2026 Data Download.]
Climate Resiliency - Carbon Sequestration (Midwest Conservation Blueprint 2026 Indicator)

Definition This indicator identifies the ability of lands and waters to function under changing climate conditions. It prioritizes areas based on the amount of above and belowground carbon stored. Pixels can take the following values: * 1 – Lower carbon sequestration, not a natural asset * 2 – Lower carbon sequestration, natural assets * 3 – Medium carbon sequestration, not a natural asset * 4 – Medium carbon sequestration, natural assets * 5 – High carbon sequestration, not a natural asset * 6 – High carbon sequestration, natural assets Selection This indicator was chosen as a targetable, important feature of the MLI goals that will be used to track conditions over time and prioritize areas for conservation. Indicators were defined through elicitation and prioritization exercises with federal and state participants. Criteria for the indicators includes 1) actionable, 2) measurable, 3) relevant to multiple groups across the region, and/or 4) representative of other social and/or environmental values. Input Data & Mapping Steps This indicator originates from the U.N. Environment Programme World Biomass and Soil Carbon data. To create this layer, MLI partners, members, and staff completed the following mapping steps: projected all input data to NAD83 (2011) UTM Zone 15N, resampled to a 30m raster, and reclassed the raster into the following 3 classes: 1 – 0-125 metric tons of Carbon per hectare, 3 – 126-205 mectric tons of Carbon per hectare, 5 – >205 metric tons of Carbon per hectare. Due to the low resolution of the data, we emphasized natural assets by mosaicking the Natural Assets layer to the Carbon raster. Finally, we removed highly altered areas from this layer using our Highly Altered Areas mask. For full mapping details, please refer to the [Midwest Conservation Blueprint Development Process]. For a complete download of all Blueprint input and output data, visit the [Midwest Conservation Blueprint 2026 Data Download.]
Rainwater Basin Wetland Complex Watershed Restorations_WFL1

Watersheds, remnant pits, filled pits and historic wetlands associated with public areas (Nebraska Game and Parks Commission and U.S. Fish and Wildlife Service) within the Rainwater Basin Wetland Complex. These represent restoration efforts within public watersheds through federal fiscal year (Sept. 30th) 2022. Public area data have been subset from their source data, which also includes restorations within USDA Natural Resource Conservation Service Easements and other privately owned wetlands. The source data is developed by the Rainwater Basin Joint Venture as a restoration priority ranking tool for conservation partnership delivery staff from Nebraska Game and Parks Commission, Rainwater Basin Joint Venture, USDA Natural Resource Conservation Service, U.S. Fish and Wildlife Service Partners for Fish and Wildlife Program.
Texas Longleaf Team -- Longleaf Pine Priority Model (vers. 2.0, 2026)

FOR non-AGOL ACCOUNT HOLDERS, DOWNLOAD THIS GEOSPATIAL DATA HERE: [https://gis-fws.opendata.arcgis.com/search?tags=lmvjv] Methodology and Data Model Inputs This effort utilizes the best available landscape-level data that are appropriate for longleaf pine in this geography. These data were chosen with input and guidance from conservation professionals that are knowledgeable about priority wildlife, habitats and landscapes in east Texas. This prioritization integrates four key datasets: * A 2023 updated open-pine priority bird model, focusing on three species: brown-headed nuthatch (Sitta pusilla), Bachman’s sparrow (Peucaea aestivalis), and red-cockaded woodpecker (Leuconotopicus borealis). * A longleaf pine-specific digital soils layer derived from USDA’s Soil Survey Geographic database (SSURGO) that has been evaluated as appropriate for longleaf pine-specific suitability restoration. * An observational occurrence geospatial grid for eastern wild turkey (Meleagris gallopavo silvestris) that documents species observations over time (2020-24). * A proximity-based suitability layer prioritizing areas near existing longleaf pine forests that will function as anchor sites on which new restoration should be focused around. These datasets were normalized, weighted, and analyzed using neighborhood analysis to produce a geospatial prioritization map. For more detailed methodology, visit our website at: https://www.lmvjv.org/conservation-delivery-networks
NACC_Surveyed_Crossings_2026

All road related AOP protocol data, including those assessed using non-SARP protocol and those assessed with the SARP protocol as of February 2022. For more detailed information including photos and exact measurements of crossings surveyed, post 2019 visit the Volunteer AOP survey webmap. Structures at road stream crossings present possible barriers to aquatic organisms. In order to determine if these are barriers, data must be collected at each crossing to determine barrier severity. Various methods exist to collect data at barriers, and this dataset represents all of those points where anyone has ever assessed a crossing for AOP, regardless of protocol. All protocol datasets have been stripped of photos and detailed information only to reveal basic information and an aquatic passage determination.
Wild Turkey Program in Vermont - Hunting Zones

This map documents Vermont’s 1969 wild turkey restoration project, initiated with the live capture of birds in Allegany State Park, New York, and their release at two introduction sites in Pawlet and Hubbardton. Subsequent translocations expanded the re‑established population statewide. Included are layers representing Vermont’s initial spring turkey hunting zones for 1973 and 1974: 1973 Spring Hunting Zones (A–C): Three restricted management zones centered on the original release area. Access was limited to residents using lottery-issued permits. Zone A (yellow), Zone B (blue), Zone C (orange). 1974 Spring Hunting Zones (A–D): A fourth zone was added as population growth supported expanded harvest opportunity, increasing huntable area from ~745 to >1,000 square miles. Zone A (yellow), Zone B (blue), Zone C (orange), Zone D (blue). A layer showing the current occupied wild turkey range is also included.
ACJV Coastal Marsh Project Database VIEW

This map shows the locations of the Atlantic Coast Joint Venture (ACJV) project database, which catalogs salt marsh restoration, management, and enhancement projects along the coast. The projects support salt marsh conservation, including efforts specifically targeting the ACJV flagship species: Saltmarsh Sparrow, Black Rail, and American Black Duck. For more information, please visit: [https://acjv.org/tools-and-data/] The urgent need for coordinated attention and our shared responsibility for coastal marsh conservation prompted the ACJV Management Board to approve a strategic focus on coastal marsh habitat carried out through the lens of our three flagship species: American Black Duck, Black Rail, and Saltmarsh Sparrow (link). ACJV partners are developing a comprehensive conservation planning framework to address the needs of these three species and the ecosystems upon which they depend.
FWS HQ ES National Wetlands Inventory Active Projects

The U.S. Fish and Wildlife Service (USFWS) is the principal Federal agency that provides information to the public on the extent and status of the Nation’s wetlands. As of May of 2014, the National Wetlands Inventory (NWI) wetland geospatial data layer provides on-line map information for all of the conterminous U.S., Hawaii, Puerto Rico, the Virgin Islands, Guam, the major Northern Mariana Islands and 40% of Alaska. This was accomplished by working with numerous Federal, State, and Tribal agencies as well as various universities and non-governmental organizations. The NWI Program works with these entities to ensure all data meets the federal wetland mapping standard before it get's added into the national wetlands layer. Active mapping projects once completed and pass all NWI QAQC measures are added to the national data layer, and are posted the Wetlands Mapper.
FWS_R7_Realty_Alaska_PLSS_feature_layer

This feature layer depicts townships and sections (Public Land Survey System - PLSS) within the State of Alaska. This information was compiled by, and is maintained by the Bureau of Land Management, Alaska State Office, Anchorage, Alaska. The Public Land Survey System is a grid-based land survey system that divides land into 36-square-mile townships. Each township is 6 miles east/west and 6 miles north/south. Townships are referenced to a paricular meridian which provides the basis for the numbering system. Although the term township is used generically when referring to a 36-square-mile block, there are actually three designators that fully describe a block. Townships are numbered north/south, while ranges are numbered east/west. The meridian is also needed for a complete description For example, Township 8 North, Range 71 West, Seward Meridian identifies a 36-square-mile block that is 8 townships north of the Seward baseline and 71 ranges west of the Seward principal meridian. Each township is further subdivided into sections, which are one square mile in area, and are numbered sequentially from 1 to 36, starting in the northeast corner of the township and proceeding in an alternating west/east and east/west direction to Section 36 in the southeast corner of the township. Below is a diagram that depicts the PLSS;
USFWS Wildlife Spill Response Survey

Submission URL: https://fws.maps.arcgis.com/sharing/rest/content/items/ac90cf8355354d3191c800e7ca61eed8 The U.S. Fish and Wildlife Service participates in responses to wildlife impacted by oil spills. This digital data collection form and subsequent dataset contains information regarding the search and reporting of oiled wildlife following a spill. Partner agencies (federal, state, NGO, etc.) can participate in this reporting system and feed information directly to the incident command team during spills. The intention of this system is to provide first responders and situation leaders with real-time information to make decisions during developing spill scenarios. The submitted responses will feed into dashboards, maps, and reports that can be used for decision making. The dataset consists of both point and polygon geometry data along with stand alone tables. Polygon data represents the general perimeter of the search area during the spill response. Point data represents the specific location of individual wildlife that was observed during the search. Tabular data represents three related tables comprised of the following: general spill site information, species-specific wildlife information, and individual animal information. Role and Responsibilities Data Trustee: Anne Condon (anne_condon@fws.gov) Data Steward: Jo Ann Banda (joann_banda@fws.gov) * If data needs edited, deleted or updated, please reach out to JoAnne directly to facilitate those requests.
Coastal Ocean Mammal and Bird Education and Research Surveys - BeachCOMBERS

Established in 1997, the BeachCOMBERS (Coastal Ocean Mammal and Bird Education and Research Surveys) program is led by the U.S. Fish and Wildlife Service (USFWS). This initiative uses trained volunteers to conduct monthly surveys of beached marine birds and mammals at selected coastal sections. Operating as a collaboration between the USFWS, Moss Landing Marine Laboratories (MLML), and the Monterey Bay National Marine Sanctuary (MBNMS), the program also includes participation from the California Department of Fish and Wildlife (CDFW) and the U.S. Geological Survey (USGS). Key highlights of the program include: • Primary Goal: Monitoring the deposition of beach-cast carcasses to serve as a vital index for the health of the sanctuary. • Expansion: As of 2026, the program continues its extensive reach, having grown from its original Monterey Bay focus to include volunteers surveying beaches from Santa Cruz to San Diego. • Scientific Impact: The program has successfully provided critical data for numerous scientific papers, aided in the conservation of sanctuary resources, and helped identify and quantify oiled wildlife. For additional details: [https://mlml.sjsu.edu/beachcombers/] [Microsoft Word - BC 20 yr report summary_7-15-19.docx] Contacts: Mark Metevier - GIS Specialist U.S. Fish & Wildlife Service, Ventura Field Office 2493 Portola Road, Suite B Ventura, CA 93003 mark_metevier@fws.gov Kirby M. Bartlett (she/her) - Senior Fish and Wildlife Biologist U.S. Fish & Wildlife Service, Ventura Field Office 2493 Portola Road, Suite B Ventura, CA 93003 kirby_bartlett@fws.gov Sabrina Kennedy – Fish and Wildlife Biologist U.S. Fish & Wildlife Service, Ventura Field Office 2493 Portola Road, Suite B Ventura, CA 93003 [sabrina_kennedy@fws.gov] For internal FWS staff, please reference this Data Management Plan: Project Title: Coastal Ocean Mammal and Bird Education and Research Surveys - BeachCOMBERS
Kake Fish Passage Culvert Survey

Overview This Feature Service presents detailed survey data of fish passage culverts in the Kake area. The primary layer documents observations and measurements of culverts and stream crossings, including physical dimensions, structure types, and conditions relevant to fish habitat and passage. Feature Layer: survey_CopyFeatures This layer contains comprehensive inspection records for culverts, including important information such as the number of culverts at a crossing, structure materials, road and stream details, and measurements like culvert length, inlet and outlet dimensions, water depths, and fill heights. Observations on hydraulic features, debris blockage, and visible deformations provide critical insight into culvert functionality. The data also records habitat conditions, fish species presence, and the severity of fish passage barriers. Multiple culverts at a single site can be cataloged with individual measurements for each, facilitating detailed assessment of complex crossings. Additional notes and photo documentation details augment the field observations. Geographic Coverage The dataset covers culverts and stream crossings within the Kake region, situated in Southeast Alaska. This localized geographic focus supports targeted environmental and infrastructural assessment efforts in this area.
NWI New

New NWI layer for the NWI 50th Anniversary Storymap comparing the old vs. new NWI data in west virginia. Modern NWI data is a significant update, including better classification, more detailed linework and higher accuracy. Modern NWI data is also standardized. This layer was created by Lauren Healey of the National Wetlands Inventory Team (NWI). Not editable or available for offline use. This is the modern NWI layer for West Virginia. The layers can be toggled on and off for comparision purposes. The modern NWI data was published to the Wetlands Mapper in 2024 and 2025 This data is maintained by Lauren Healey at the NWI team. Please contact lauren_healey@fws.gov with any questions.
WV_Old_Vs_New Data_WFL1

Feature Service for the NWI 50th Anniversary Storymap comparing the old vs. new NWI data. Modern NWI data is a significant update, including better classification, more detailed linework and higher accuracy. Modern NWI data is also standardized. This layer was created by Lauren Healey of the National Wetlands Inventory Team (NWI). Not editable or available for offline use. It includes layers for: new NWI data in West Virginia, and old NWI data for West Virginia. The layers can be toggled on and off for comparision purposes. The modern NWI data was published to the Wetlands Mapper in 2024 and 2025 This data is maintained by Lauren Healey at the NWI team. Please contact lauren_healey@fws.gov with any questions.