AndreaBozzo/ceres-open-data-index huggingface dataset:
Western Governors' Association Large Intact Blocks

The Large Intact Blocks (LIB) dataset was calculated from the NatureServe Landscape Condition model as a way to identify large areas that were relatively intact or had low levels of anthropogenic impacts.Large Intact Blocks (LIBs) were derived directly from the landscape Condition scores similar to the methods used by the Washington Habitat Connectivity Working Group, as implemented in the Habitat Core Area tool (WHCWG 2010). The landscape was divided into 5 major ecodivison groups to account for major landscape Condition differences across the western United States (Great Plains, Rocky Mountains, Warm desert, Intermountain Basin, and Pacific Coast) The Landscape Condition Quality Threshold (LCQT), or the minimum LC value that was considered to be high enough quality to be considered a core “block” or patch was identified for each sub region. The LCQT was determined using the footprint of the areas identified in the Protected Areas Database (PAD) that had a Gap status 1-3. The threshold value was the LC value that represented the top 80% of the LC values within the PAD. The LC data was smoothed using a 1,000 ha moving window, then areas within each ecodivision were analyzed against their unique LCQT value and groups of pixels above that threshold and greater than the 1,000 ha minimum size threshold were identified as Large Intact Blocks (LIBs). Each LIB was then binned into three levels of importance, based on relative level of intactness in its ecodivision (3 quantiles based on mean LC value) and its total area (1,000 – 10,000 ha, 10,000 – 50,000 ha, and 50,000+ ha). LIBs with the highest third of mean LC values regardless of size were ranked as level 1. LIBs that were 10,00-50,000 ha in size that were not classified as Level 1 were classified as Level 3 importance. All remaining LIBs were classified as Level 2 importance. This data layer is one of three that were produced to support the WGA Wildlife Council Landscape Integrity Working Group. The intent of these work products are to provide individual states with information on current landscape condition, significant large intact blocks and important connectivity zones mapped across the state and regional boundaries. These data may or may not be used by each state in the development of a state’s final crucial habitat map. States may choose to supplement or replace the work group data with other data sources that may be available only for their state (and neighboring states). The final crucial habitat maps are not expected to be published until fall of 2013, and data the states use of these data in creating their crucial habitat maps may change. As potential users of these data you are encouraged to talk with each state to further identify any additional concerns a state may have or updated data layers that are produced subsequent to the publication date of these layers. For more information see LIB_methods.pdf and WGA Landscape Integrity Workgroup Recommendations, unpublished reports to WGA Wildlife Council State Technical Team dated 02/12/2013.
PNW WADE Water Diversion Locations on USFS Lands

These points are a dataset of water diversion locations as catalogued by the Western States Water Council Water Data Exchange (WADE) Program ([WaDE Homepage | Western States Water Council]). The purpose of the WADE dataset is to help the western states Western States to learn from each other on water data management and best data practices to share water data. Using this dataset, USFWS/SARP/USFS are together collaborating to identify in-stream water structures associated with these points in the field or aerial maps. This layer will be used within a web application to allow for QAQC by different forest service biologists and employees.
SantaRosaPlain_PBO_CTS_CriticalHabitat

Critical habitat constitutes areas considered essential for the conservation of a listed species. These areas provide notice to the public and land managers of the importance of the areas to the conservation of this species. Special protections and/or restrictions are possible in areas where Federal funding, permits, licenses, authorizations, or actions occur or are required. These data identify, in general, the areas of Final critical habitat for Ambystoma californiense (California tiger salamander, Sonoma County population). Critical habitat is defined as: * Specific areas within the geographical area occupied by the species at the time of listing that contain physical or biological features essential to conservation of the species and that may require special management considerations or protection; and * Specific areas outside the geographical area occupied by the species if the agency determines that the area itself is essential for conservation.
Overlapping Habitat Connectivity Corridors Feature

The Washington Wildlife Habitat Connectivity Working Group ([https://waconnected.org/]) conducted a Cascades to Coast Analysis to model habitat connectivity for 5 focal species (American Beaver, Cougar, Fisher, Mountain Beaver, and Western Gray Squirrel), as well as for existing protected areas (i.e., naturalness, landscape integrity). These data were combined into a synthesis analysis to identify important connectivity corridors for the region and to identify priority wildlife crossing areas across major highways. Data from the Cascades to Coast Analysis, as well as a technical report summarizing the project are available at [https://waconnected.org/coastal-washington-analysis/]. This layer was derived from the Overlapping Networks data from the Washington Wildlife Habitat Connectivity Working Group's Cascades to Coast Analysis. Hexagon grid cells were symbolized based on their proportion of overlap with the overlapping species networks (i.e., combination of least-cost corridors and core areas). The symbology of each grid cell corresponds to the number of overlapping species networks with the majority of overlap with each grid cell.
Priority Wildlife Crossing Areas Feature

The Washington Wildlife Habitat Connectivity Working Group ([https://waconnected.org/]) conducted a Cascades to Coast Analysis to model habitat connectivity for 5 focal species (American Beaver, Cougar, Fisher, Mountain Beaver, and Western Gray Squirrel), as well as for existing protected areas (i.e., naturalness, landscape integrity). These data were combined into a synthesis analysis to identify important connectivity corridors for the region and to identify priority wildlife crossing areas across major highways. Data from the Cascades to Coast Analysis, as well as a technical report summarizing the project are available at [https://waconnected.org/coastal-washington-analysis/]. This layer was derived from the Priority Crossing Areas data from the Washington Wildlife Habitat Connectivity Working Group's Cascades to Coast Analysis and depicts all grid cells that intersect a priority crossing area.
Western Gray Squirrel Habitat Connectivity Feature

The Washington Wildlife Habitat Connectivity Working Group ([https://waconnected.org/]) conducted a Cascades to Coast Analysis to model habitat connectivity for 5 focal species (American Beaver, Cougar, Fisher, Mountain Beaver, and Western Gray Squirrel), as well as for existing protected areas (i.e., naturalness, landscape integrity). These data were combined into a synthesis analysis to identify important connectivity corridors for the region and to identify priority wildlife crossing areas across major highways. Data from the Cascades to Coast Analysis, as well as a technical report summarizing the project are available at [https://waconnected.org/coastal-washington-analysis/]. This layer was derived from the Western Gray Squirrel core areas and least-cost corridors data from the Washington Wildlife Habitat Connectivity Working Group's Cascades to Coast Analysis. Hexagon grid cells were symbolized based on their proportion of overlap with the core areas and least-cost corridors data. Grid cells with a proportion of core area overlap equal to or greater than 0.2 were assigned the Habitat Concentration Area classification. The least-cost corridor width assigned to each grid cell was based on the majority least-cost corridor width overlapping each grid cell. The grid cell with HexID 45764 was manually removed because no corridors connected to it even though its core area overlap proportion was greater than 0.2. Grid cells with HexIDs 47136 and 48849 were manually added because their core area overlap proportions were less than 0.2, but they still had corridors connecting to them.
Cougar Habitat Connectivity Feature

The Washington Wildlife Habitat Connectivity Working Group ([https://waconnected.org/]) conducted a Cascades to Coast Analysis to model habitat connectivity for 5 focal species (American Beaver, Cougar, Fisher, Mountain Beaver, and Western Gray Squirrel), as well as for existing protected areas (i.e., naturalness, landscape integrity). These data were combined into a synthesis analysis to identify important connectivity corridors for the region and to identify priority wildlife crossing areas across major highways. Data from the Cascades to Coast Analysis, as well as a technical report summarizing the project are available at [https://waconnected.org/coastal-washington-analysis/]. This layer was derived from the Cougar core areas and least-cost corridors data from the Washington Wildlife Habitat Connectivity Working Group's Cascades to Coast Analysis. Hexagon grid cells were symbolized based on their proportion of overlap with the core areas and least-cost corridors data. Grid cells with a proportion of core area overlap equal to or greater than 0.5 were assigned the Habitat Concentration Area classification. The least-cost corridor width assigned to each grid cell was based on the majority least-cost corridor width overlapping each grid cell.
Fisher Habitat Connectivity Feature

The Washington Wildlife Habitat Connectivity Working Group ([https://waconnected.org/]) conducted a Cascades to Coast Analysis to model habitat connectivity for 5 focal species (American Beaver, Cougar, Fisher, Mountain Beaver, and Western Gray Squirrel), as well as for existing protected areas (i.e., naturalness, landscape integrity). These data were combined into a synthesis analysis to identify important connectivity corridors for the region and to identify priority wildlife crossing areas across major highways. Data from the Cascades to Coast Analysis, as well as a technical report summarizing the project are available at [https://waconnected.org/coastal-washington-analysis/]. This layer was derived from the Fisher core areas and least-cost corridors data from the Washington Wildlife Habitat Connectivity Working Group's Cascades to Coast Analysis. Hexagon grid cells were symbolized based on their proportion of overlap with the core areas and least-cost corridors data. Grid cells with a proportion of core area overlap equal to or greater than 0.5 were assigned the Habitat Concentration Area classification. The least-cost corridor width assigned to each grid cell was based on the majority least-cost corridor width overlapping each grid cell.
Landscape Integrity Habitat Connectivity Feature

The Washington Wildlife Habitat Connectivity Working Group ([https://waconnected.org/]) conducted a Cascades to Coast Analysis to model habitat connectivity for 5 focal species (American Beaver, Cougar, Fisher, Mountain Beaver, and Western Gray Squirrel), as well as for existing protected areas (i.e., naturalness, landscape integrity). These data were combined into a synthesis analysis to identify important connectivity corridors for the region and to identify priority wildlife crossing areas across major highways. Data from the Cascades to Coast Analysis, as well as a technical report summarizing the project are available at [https://waconnected.org/coastal-washington-analysis/]. This layer was derived from the Landscape Integrity core areas and least-cost corridors data from the Washington Wildlife Habitat Connectivity Working Group's Cascades to Coast Analysis. Hexagon grid cells were symbolized based on their proportion of overlap with the core areas and least-cost corridors data. Grid cells with a proportion of core area overlap equal to or greater than 0.5 were assigned the Habitat Concentration Area classification. The least-cost corridor width assigned to each grid cell was based on the majority least-cost corridor width overlapping each grid cell.
Florida Panther Telemetry

This dataset represents Florida panther (Puma concolor coryi) radio-telemetry data collected 1972 - 2019. These data were collected by three entities: Florida Fish and Wildlife Conservation Commission (FWC), Everglades National Park (ENP), and Big Cypress National Preserve (BCNP). Methodology for the collection of telemetry locations was described by Land et al. (2008). Many of these panther locations were collected during the diurnal resting period (i.e., during early to mid-morning [Comiskey et al., 2002; Beier et al., 2003]). Users should read and fully comprehend this metadata record prior to using these data. Please acknowledge the Florida Fish and Wildlife Conservation Commission (FWC) as the data source for any products developed from these data. If any data are modified, please share the edited information with FWC. Users should be aware that comparison with other data sets for the same area may be inaccurate. Users should acquire the best available data. FWC shall not be liable for improper or incorrect use of these data.
Major Roads FL

This dataset contains major roads from the January 2019 version of the Florida Department of Transportation Roads Characteristics inventory (RCI) dataset. The dataset has been updated from the previous versions of FGDL. This data represents the information collected and reported as of the most recent inventory performed and may not reflect the current conditions. This product has been compiled from the most accurate source data from the Florida Department of Transportation's Transportation Statistics Office. However, this product is for reference purposes only and is not to be construed as a legal document or survey instrument. Any reliance on the information contained herein is at the user's own risk. The Florida Department of Transportation assumes no responsibility for any use of the information contained herein or any loss resulting from use.
FP232_data_proof_final

The panther ID FP232 data is the verifiable and documented occurrence records to assess the current distribution of the panther population as these records constitute the best available scientific information. FWC maintains several continually updated spatially referenced databases useful in assessing the distribution of panthers. Users should read and fully comprehend this metadata record prior to using these data. Please acknowledge the Florida Fish and Wildlife Conservation Commission (FWC) as the data source for any products developed from these data. If any data are modified, please share the edited information with FWC. Users should be aware that comparison with other data sets for the same area may be inaccurate. Users should acquire the best available data. FWC shall not be liable for improper or incorrect use of these data.
Panther other Occurrences

These databases include verified occurrence records collected since 1972 comprised of VHF and GPS telemetry locations, mortality and injury locations, confirmed sightings, tracks, locations of panther depredations and locations of human-panther interactions. Distribution of the Florida panther based on verified occurrence records collected from 1972–2019. Users should read and fully comprehend this metadata record prior to using these data. Please acknowledge the Florida Fish and Wildlife Conservation Commission (FWC) as the data source for any products developed from these data. If any data are modified, please share the edited information with FWC. Users should be aware that comparison with other data sets for the same area may be inaccurate. Users should acquire the best available data. FWC shall not be liable for improper or incorrect use of these data.
American Beaver Habitat Connectivity Feature

The Washington Wildlife Habitat Connectivity Working Group ([https://waconnected.org/]) conducted a Cascades to Coast Analysis to model habitat connectivity for 5 focal species (American Beaver, Cougar, Fisher, Mountain Beaver, and Western Gray Squirrel), as well as for existing protected areas (i.e., naturalness, landscape integrity). These data were combined into a synthesis analysis to identify important connectivity corridors for the region and to identify priority wildlife crossing areas across major highways. Data from the Cascades to Coast Analysis, as well as a technical report summarizing the project are available at [https://waconnected.org/coastal-washington-analysis/]. This layer was derived from the American Beaver core areas and least-cost corridors data from the Washington Wildlife Habitat Connectivity Working Group's Cascades to Coast Analysis. Hexagon grid cells were symbolized based on their proportion of overlap with the core areas and least-cost corridors data. Grid cells with a proportion of core area overlap equal to or greater than 0.05 were assigned the Habitat Concentration Area classification. The least-cost corridor width assigned to each grid cell was based on the majority least-cost corridor width overlapping each grid cell.
Mountain Beaver Habitat Connectivity Feature

The Washington Wildlife Habitat Connectivity Working Group ([https://waconnected.org/]) conducted a Cascades to Coast Analysis to model habitat connectivity for 5 focal species (American Beaver, Cougar, Fisher, Mountain Beaver, and Western Gray Squirrel), as well as for existing protected areas (i.e., naturalness, landscape integrity). These data were combined into a synthesis analysis to identify important connectivity corridors for the region and to identify priority wildlife crossing areas across major highways. Data from the Cascades to Coast Analysis, as well as a technical report summarizing the project are available at [https://waconnected.org/coastal-washington-analysis/]. This layer was derived from the Mountain Beaver core areas and least-cost corridors data from the Washington Wildlife Habitat Connectivity Working Group's Cascades to Coast Analysis. Hexagon grid cells were symbolized based on their proportion of overlap with the core areas and least-cost corridors data. Grid cells with a proportion of core area overlap equal to or greater than 0.4 were assigned the Habitat Concentration Area classification. The least-cost corridor width assigned to each grid cell was based on the majority least-cost corridor width overlapping each grid cell.
FWS Regional Boundaries from TIGER Carto 500k

U.S. Fish and Wildlife Service Regional boundary polygons, derived from the US Census TIGER 2020 Carto 500k product. Projected to Web Mercator (EPSG3857) for use in AGOL. Separate boundary layers are provided for representation of all eight Regions, or for Region 6 only (Mountain-Prairie Region). Additionally, a mask layer that covers all areas outside of Region 6 is provided. Layers are as follows: Regional boundary layer for all eight Regions: * USA_USFWS_Regional_Boundaries_TIGER_2020_Carto500k_EPSG3857_poly Regional boundary layer for only Region 6: * R6_USFWS_Region_6_Bndry_TIGER_2020_Carto500k_EPSG3857_poly Mask layer for only Region 6: * R6_USFWS_Region_6_Bndry_World_Mask_TIGER_2020_Carto500k_EPSG3857_poly
Panther Verified Occurrences

These databases include verified occurrence records collected since 1972 comprised of VHF and GPS telemetry locations, mortality and injury locations, confirmed sightings, tracks, locations of panther depredations and locations of human-panther interactions. Distribution of the Florida panther based on verified occurrence records collected from 1972–2019. Users should read and fully comprehend this metadata record prior to using these data. Please acknowledge the Florida Fish and Wildlife Conservation Commission (FWC) as the data source for any products developed from these data. If any data are modified, please share the edited information with FWC. Users should be aware that comparison with other data sets for the same area may be inaccurate. Users should acquire the best available data. FWC shall not be liable for improper or incorrect use of these data.
fp130 GPS data

The panther ID 130 GPS data is the verifiable and documented occurrence records to assess the current distribution of the panther population as these records constitute the best available scientific information. FWC maintains several continually updated spatially referenced databases useful in assessing the distribution of panthers. Users should read and fully comprehend this metadata record prior to using these data. Please acknowledge the Florida Fish and Wildlife Conservation Commission (FWC) as the data source for any products developed from these data. If any data are modified, please share the edited information with FWC. Users should be aware that comparison with other data sets for the same area may be inaccurate. Users should acquire the best available data. FWC shall not be liable for improper or incorrect use of these data.
Ecological Integrity Rank

This layer represents the composite count overlap of six polygon source data sets that consider ecosystem structure, function, and composition in order to estimate relative ecological integrity across the High Divide region. We define and estimate ecological integrity by assembling publicly available spatial data that describe “elements of composition, structure, function, and ecological processes” (after Parrish et al. 2003; Wurtzebach and Schultz 2016) as described below.
USA Boundaries from TIGER Carto 500k

National, state, and county level boundary polygons for the USA, derived from the US Census TIGER 2020 Carto 500k product. Projected to Web Mercator (EPSG3857) for use in AGOL. Separate boundary layers are provided for representation of the complete United States; only those states in the conterminous United States; and only those states in the U.S. Fish and Wildlife Services' Mountain-Prairie Region. The Mountain-Prairie Region includes the states of Kansas, Nebraska, South Dakota, North Dakota, Montana, Wyoming, Colorado, and Utah. Complete United States: * USA_All_County_Boundaries_TIGER_2020_Carto500k_EPSG3857_poly * USA_All_State_Boundaries_TIGER_2020_Carto500k_EPSG3857_poly * USA_All_National_Boundaries_TIGER_2020_Carto500k_EPSG3857_poly Conterminous United States only: * USA_L48_County_Boundaries_TIGER_2020_Carto500k_EPSG3857_poly * USA_L48_State_Boundaries_TIGER_2020_Carto500k_EPSG3857_poly Mountain-Prairie Region only: * R6_County_Boundaries_TIGER_2020_Carto500k_EPSG3857_poly * R6_State_Boundaries_TIGER_2020_Carto500k_EPSG3857_poly
Upper Connecticut AOP Priority List _ October 2021

The Upper Connecticut River Aquatic Organism Passage Working Group, composed of state and local partners, has worked to develop a list of priority culverts for replacement. The selected culverts maximize connectivity for Eastern brook trout and the replacement will improve natural stream function; interests from partner groups were taken into consideration during the review and selection process. Using persistence modeling, developed by the Eastern Brook Trout Joint Venture, projects are focused in areas within the basin where brook trout are expected to survive increasing future climatic conditions.
1SE Alaska Culvert Priortization Metrics by Watershed

Creating a layer from an ADFG culvert prioritization spreadsheet, and using a watershed matrix from The Nature Conservancy allowed for the creation of summarized culvert metrics by watershed. Both the summation and mean were calculated for fields such as prioritization score, stream miles above barrier, anadromous stream miles above barrier, etc. This data will be used for biologists to address regions of high importance for further habitat restoration.