AndreaBozzo/ceres-open-data-index huggingface dataset:
TLIT boundary

FOR non-AGOL ACCOUNT HOLDERS, DOWNLOAD THIS GEOSPATIAL DATA HERE: https://gis-fws.opendata.arcgis.com/search?tags=lmvjv Texas Longleaf Team is a group of individuals, organizations and agencies that share a passion for the longleaf pine. Together, we work to restore longleaf pine ecosystems on private and public forestlands in the state of Texas. The Texas Longleaf Taskforce was created in 2010 to promote the restoration of Longleaf pine on private and public forestlands in the state of Texas. The Taskforce started as a broad stakeholder group of private landowners, state and federal agencies, and industry members. It included non-profit organizations such as The Nature Conservancy, Texas Forestry Association, and the National Wild Turkey Federation and now has over 250 participants. The TLT mission is to promote the maintenance and restoration of the longleaf pine ecosystem on private and public forestlands, including its cultural and economic values, through a collaborative network of diverse stakeholders and working groups. Find and connect interested land owners to funding and assistance programs for longleaf. The administrative planning boundary for the TLT consists of the East Texas counties that align generally with the historic range of Longleaf pine (Pinus palustris) in the state. With regards to TLT's relationship to the Lower Mississippi Valley Joint Venture (LMVJV) partnership, since 2021 the LMVJV considers and functions as if the TLT network, partnership and focus area all are a Conservation Delivery Network (CDN) partnership of the LMVJV.
Agricultural Resource Priorities in the Highlands Region

This layer represents agricultural resource priorities in the Highlands region. This layer is intended to inform grant proposals for the Highlands Conservation Act. The Highlands Conservation Act authorizes the Secretary of the Interior to provide financial assistance to the States of Connecticut, New Jersey, New York, and Pennsylvania (Highland States) to preserve and protect high priority conservation land in the Highlands region. This layer ranges from 0 to 8, with 8 being highest priorities for agricultural preservation in the Highlands Region. The layer scores all 30m cells that are, or were, in agricultural use in 2016 or 2021 based on the 2021 NLCD layer (classes 81 and 82). Cells with prime, state, and local/unique agricultural soils (using SSURGO) were given scores of 4, 3, and 2, respectively. Cells near high densities of agricultural land use (i.e., within 800m of cells classified as 81 and 82 in the 2021 NLCD layer, using a focal statistics analysis) were scored 1 (lowest) to 4 (highest) density based on quantiles of agricultural density in the 2004 federal Highlands Conservation Act boundary.
Highlands Conservation Act Conserved Projects, 2024

This dataset depicts the land conservation projects completed under the Highlands Conservation Act Grant Program as of September, 2024. The Highlands region spans four states, Connecticut, New York, New Jersey, and Pennsylvania. The grant program supports land acquisition projects that are led by state agencies and conserve key resources outlined in the act including clean drinking water, healthy forests, thriving wildlife populations, productive agriculture, and abundant recreational opportunities. Since the passage of the act in 2004, $48 million in federal funds, matched by $74 million in non-federal funds, have been awarded to permanently protect 16,226 acres of land. More information about the act and the grant program can be found here: [https://www.fws.gov/program/highlands-conservation-act-grant]. Source: This dataset comes from Office of Conservation Investment Program in the US Fish and Wildlife Service, Northeast Region.
Restoration Acres

The "Restoration Acres" feature layer is a component of the "[Pollinator Restoration 2022]" map which is itself a component of the "[USFWS Pollinator Restoration Projects Mapper]" which is a dashboard showing management projects that benefit pollinators across the Western U.S. See below for a description of the "USFWS Pollinator Restoration Projects Mapper." The "USFWS Pollinator Restoration Projects Mapper" is under development by the Region 1 (Pacific Northwest) USFWS Science Applications program. Completion is anticipated by Winter 2023. Contact: Alan Yanahan (alan_yanahan@fws.gov). The purpose of the "USFWS Pollinator Restoration Projects Mapper" is to inform future pollinator conservation efforts by providing a way to identify geographic areas where additional pollinator conservation may be needed. The "USFWS Pollinator Restoration Projects Mapper" maps the locations of where on-the-ground projects that are beneficial to pollinators have taken place. Its primary focus is projects on public lands. The majority of records included in this tool come from internal databases for the USFWS, US Forest Service, and the Bureau of Land Management, which were queried for relevant projects. The tool is not intended as a database for reporting projects to. Rather, the tool synthesizes records from existing databases. The geographic scope of the tool includes the western states of Arizona, California, Idaho, Nevada, Oregon, Utah, and Washington. When possible, the tool includes projects from 2014 to the present. This timespan was chosen because it matches the timespan of the USFWS Monarch Conservation Database For consistency, the tool groups pollinator beneficial projects into the following four activity types: * Restoration: Actions taken after a disturbance, such as planting native forbs after a wildfire * Maintenance: Actions taken outside the growing season that maintain habitat quality through regular disturbance using manual or chemical means. Examples: mowing, spraying weeds, prescribed fire * Conservation: Acquiring land or creating easements that are managed for biodiversity * Enhancement: Actions that increase forb diversity and nectar resources, such as planting native milkweed The tool includes a map that aggregates project point locations within 49 square mile sized hexagon grid cells. Users can click on individual grid cells to activate a pop-up menu to cycle through the projects that occurred within that grid cell. Information for each project include, but are not limited to, acreage, type of activity (i.e., restoration, maintenance, conservation, enhancement), data source, and lead organization. The tool also includes a dashboard to view bar graphs and pie charts that display project acreages and project number based on location (i.e., state), project activity type (i.e., restoration, maintenance, conservation, enhancement), data source, and management type. Data can be filtered by data source, activity type, and year. Data filtering will update the map, bar graphs, and pie charts.
ME_patch_top_10pec_24patches_Nrockland

This data is intended to provide those interested in salt marsh and Saltmarsh Sparrow conservation with information that will help with conservation implementation. It identifies areas containing salt marsh that are good candidates for restoration, enhancement, and/or conservation to provide persistent high-quality Saltmarsh Sparrow nesting habitat in the next 10 years in addition to long-term salt marsh resilience. High-quality habitat for the Saltmarsh Sparrow includes high marsh patches with the lowest flooding frequency that provide a window of at least 24 days with limited flooding, and are characterized by extensive and dense Spartina patens vegetation with a deep, well-developed thatch layer. Short-form S. alterniflora, Distichlis spicata, and Juncus gerardii also comprise high marsh areas and can support Saltmarsh Sparrow nesting. The highest quality habitat is most often found in the least modified marshes, such as those without ditching, or that are downstream, or free of tidal restrictions like road crossings. Marshes are characterized as "Priority, "Reference", and "Honorable Mention". "Priority" marshes have been prioritized for ongoing restoration planning and action to support the Saltmarsh Sparrow. "Reference" marshes are less degraded and can act as reference marshes for restoration efforts in the state. Long-term preservation of these areas and the open space around them to facilitate long-term marsh migration is important, but no immediate restoration action is suggested for them. "Honorable mention" marshes were identified by the partner group as important to keep in mind and further assess for future work, but of lower priority than "Priority" marshes.
NETX CDN boundary

FOR non-AGOL ACCOUNT HOLDERS, DOWNLOAD THIS GEOSPATIAL DATA HERE: https://gis-fws.opendata.arcgis.com/search?tags=lmvjv The Northeast Texas (NETX) Conservation Delivery Network was the first CDN established by the Lower Mississippi Valley Joint Venture in the West Gulf Coastal Plain region. Texas Parks & Wildlife Department has provided critical energy, support, and leadership in the development of this network, including provision of the first two CDN Chairs. The CDN operates under a chair, vice-chair, project administrator, and CDN coordinator. The CDN Steering Committee is composed of representatives from Boggy Slough Conservation Area, Caddo Lake Institute, National Wild Turkey Federation, Texas A&M Forest Service, Texas Longleaf Team, Texas Parks & Wildlife Department, The Nature Conservancy, U.S. Fish & Wildlife Service, and USDA Natural Resources Conservation Service. The administrative planning boundary for the LAMS CDN was defined by the CDN partnership and consist of selected county boundaries in the NE portion of Texas that also overlaps the West Gulf Coastal Plain ecoregion.
OccupiedRange2022

The Occupied range for Mexican Wolf Recovery Program. This range takes into account GPS locations, telemetry, verified sightings, sign (scat verified via genetics and tracks verified by wolf biologists) and trail camera photos. This range is created from these data collected each year by the Mexican Wolf Project Interagency Field Team. All data used to create this range is QAQC'd by a subject matter expert to verify the records are accurate prior to the creation of this range. The Occupied Range area is created by placing a 10 mile buffer around wolf locations and sign. Locations occurring outside the Mexican Wolf Experimental Area (MWEPA), in management Zone 3 of the MWEPA or on Tribal lands are not included in Mexican wolf Occupied Range.
LAMS MAV CDN boundary

FOR non-AGOL ACCOUNT HOLDERS, DOWNLOAD THIS GEOSPATIAL DATA HERE: https://gis-fws.opendata.arcgis.com/search?tags=lmvjv The Louisiana-Mississippi Mississippi Alluvial Valley (MAV) CDN was formally initiated in June 2012. State wildlife agencies in LA and MS—the LA Dept. of Wildlife and Fisheries and MS Dept. of Wildlife, Fisheries, and Parks—accepted responsibility for initiating its creation and supported that decision by appointing the CDN Chair and Vice-Chair respectively, from within each agency's staff. In addition, LMVJV partner organizations, including the LA and MS USDA Natural Resources Conservation Service, The Nature Conservancy, U.S. Fish and Wildlife Service, The Conservation Fund, Ducks Unlimited, Black Bear Conservation Coalition, Audubon, Delta Wildlife, Wildlife Mississippi, LA Dept. of Agriculture and Forestry, and the MS Forestry Commission agreed to support the establishment of the new Network. The administrative planning boundary for the LAMS CDN was defined by the CDN partnership.
ARLA CDN boundary

FOR non-AGOL ACCOUNT HOLDERS, DOWNLOAD THIS GEOSPATIAL DATA HERE: https://gis-fws.opendata.arcgis.com/search?tags=lmvjv Conservation Delivery Networks (CDN) are forums developed and supported by the LMVJV in which conservation delivery staff coordinate on-the-ground implementation of their otherwise independent efforts, resulting in heightened efficiency and increased support for priority actions. The Arkansas/Louisiana West Gulf Coastal Plain Conservation Delivery Network, formed in the upper West Gulf Coastal Plain of Arkansas and Louisiana, is supported by U.S. Fish & Wildlife Service, NRCS Arkansas, NRCS Louisiana, Arkansas Forestry Commission, Arkansas Heritage Commission, TNC Arkansas, TNC Louisiana, U.S. Forest Service, Arkansas Game and Fish Commission, Louisiana Department of Wildlife and Fisheries, National Wild Turkey Federation, and Quail Forever. The cornerstone of the Conservation Delivery Network (CDN) is communication and collaboration through a networked partnership of conservation delivery specialists who have shared interest and responsibility for wildlife and resource management within the Arkansas/Louisiana WGCP CDN landscape.
ME_marsh_patches_forPriority

This data is intended to provide those interested in salt marsh and Saltmarsh Sparrow conservation with information that will help with conservation implementation. It identifies areas containing salt marsh that are good candidates for restoration, enhancement, and/or conservation to provide persistent high-quality Saltmarsh Sparrow nesting habitat in the next 10 years in addition to long-term salt marsh resilience. High-quality habitat for the Saltmarsh Sparrow includes high marsh patches with the lowest flooding frequency that provide a window of at least 24 days with limited flooding, and are characterized by extensive and dense Spartina patens vegetation with a deep, well-developed thatch layer. Short-form S. alterniflora, Distichlis spicata, and Juncus gerardii also comprise high marsh areas and can support Saltmarsh Sparrow nesting. The highest quality habitat is most often found in the least modified marshes, such as those without ditching, or that are downstream, or free of tidal restrictions like road crossings. Marshes are characterized as "Priority, "Reference", and "Honorable Mention". "Priority" marshes have been prioritized for ongoing restoration planning and action to support the Saltmarsh Sparrow. "Reference" marshes are less degraded and can act as reference marshes for restoration efforts in the state. Long-term preservation of these areas and the open space around them to facilitate long-term marsh migration is important, but no immediate restoration action is suggested for them. "Honorable mention" marshes were identified by the partner group as important to keep in mind and further assess for future work, but of lower priority than "Priority" marshes.
Mendenhall Wetlands State Game Refuge

This boundary represents the State of Alaska Mendenhall Wetlands State Game Refuge boundary near Juneau, Alaska. The data was accessed via a download from the State of Alaska. The State of Alaska did not have this dataset in a web service and so a shapefile was used as the basis for the feature class. From the State of Alaska website: "The Mendenhall Wetlands State Game Refuge is enjoyed year-round by residents and visitors alike. Waterfowl hunting, hiking, wildlife viewing and photography, boating, fishing, scientific and educational studies, and sightseeing are popular activities supporting approximately 20,000 user days annually. The streams flowing into the refuge support an estimated 400 days of fishing effort each year. Coho salmon is the most frequently taken fish, followed by cutthroat trout, sockeye salmon, and Dolly Varden. Waterfowl hunters expend over 2,000 hunter days and take over 3,000 ducks annually on the refuge." USFWS makes no warranty regarding the accuracy and/or updates to this dataset which was current at the time of publication (April 2021).
WGCPO Open Pine DSM - Landscape Level

FOR non-AGOL ACCOUNT HOLDERS, DOWNLOAD THIS GEOSPATIAL DATA HERE: https://gis-fws.opendata.arcgis.com/search?tags=lmvjv This Open Pine Decision Support Model highlights high-priority areas at a landscape scale representing optimal habitat for three open-pine priority bird species in the southeast: Bachman’s Sparrow, Brown-headed Nuthatch, and Red-Cockaded Woodpecker. The model was created using an ensemble species distribution modeling approach to identify high priority regions – areas most likely to support these open-pine priority species - based on species survey data and 15 predictive covariates. Priority values were summarized at a focal landscape scale as defined by previously calculated dispersal distance estimates for each species. The purpose of this model is to guide conservation delivery by targeting management actions, such as prescribed fire and thinning, towards these high priority (and adjacent) areas with the goal of increasing overall open-pine habitat availability and connectivity. The WGCPO Open Pine Decision Support Model, updated in 2023, prioritizes management and protection actions within existing pine and mixed pine/hardwood habitat according to the local and landscape-scale needs of three Open Pine Umbrella Species (brown-headed nuthatch, Bachman’s sparrow, and red-cockaded woodpecker). Development of the model is based upon habitat requirements described in the LMVJV’s Open Pine Landbird Plan for the West Gulf Coastal Plain/Ouachitas. The model was initially developed for both the WGCPO and EGCP geographies and at multiple spatial scales. FOR DATA RELATED TO THE EAST GULF COASTAL PLAIN GEOGRAPHY OR FOR LOCAL LEVEL OPEN PINE MODELS IN EITHER GEOGRAPHIES, CONTACT BLAINE_ELLIOTT@FWS.GOV.
ABFS - All non turbid water frequency

This dataset depicts the extent and frequency of all non-turbid waterin the Atchafalaya Basin Floodway System (ABFS). The analysis used 28 Landsat images (1984-2008) classified into categories of wet (vs dry), and non-turbid (vs turbid). Each pixel value represents the number times each pixel was classified as non-turbid in that stack of 28 images. Methodologies for this classification are available in Allen et al. (2008) and Allen (2016). The Atchafalaya Basin is a resource that must be managed on a system-wide basis to ensure this invaluable national resource is protected and restored. It is recognized that better tools must be developed for managing the Basin and that data evaluation is necessary to ensure sound decision-making. The natural resource inventory and assessment system (NRIAS) that was approved and funded in the FY 2010 Louisiana Department of Natural Resources Atchafalaya Basin Program Annual Plan and served as the primary tool for decision making in the Basin. The system provided a means for scientists to access relevant project data for the Basin and to request and fund data acquisition, monitoring, and data analysis to be used in project planning. This will be critical in providing information necessary for the development and approval of specific projects to be included for construction in future Annual Plans, projects that meet the needs of Louisiana citizens and protect our our natural resources. This and related datasets were created to demonstrate the patterns of inundation, turbid water and floating aquatic vegetation in the Atchafalaya Basin Floodway System at various river levels of the Atchafalaya River. Allen, Y.C., Constant, G.C., and Couvillion, B.R., 2008, Preliminary classification of water areas within the Atchafalaya Basin Floodway System by using Landsat imagery: U.S. Geological Survey Open-File Report 2008 1320, 14 p. https://pubs.er.usgs.gov/usgspubs/ofr/ofr20081320 Allen, Y.C. (2016). Landscape Scale Assessment of Floodplain Inundation Frequency Using Landsat Imagery. River Research and Applications. 32. 10.1002/rra.2987.
Atchafalaya Basin Watershed

FOR non-AGOL ACCOUNT HOLDERS, DOWNLOAD THIS GEOSPATIAL DATA HERE: https://gis-fws.opendata.arcgis.com/search?tags=lmvjv Boundary of Atchafalaya Basin watershed in SE Louisiana. Derived from the Watershed Boundary Dataset (WBD). The WBD is a seamless, national hydrologic unit dataset. Hydrologic units represent the area of the landscape that drains to a portion of the stream network. More specifically, a hydrologic unit defines the areal extent of surface water drainage to an outlet point on a dendritic stream network or to multiple outlet points where the stream network is not dendritic. A hydrologic unit may represent all or only part of the total drainage area to an outlet point so that multiple hydrologic units may be required to define the entire drainage area at a given outlet. Hydrologic unit boundaries in the WBD are determined based on topographic, hydrologic, and other relevant landscape characteristics without regard for administrative, political, or jurisdictional boundaries. The WBD seamlessly represents hydrologic units at six required and two optional hierarchical levels.
ABFS - Flooded land non turbid water frequency

This dataset depicts the extent and frequency of flooded land (vs open water) that is also non-turbid in the Atchafalaya Basin Floodway System (ABFS). The analysis used 28 Landsat images (1984-2008) classified into categories of wet (vs dry), flooded land (vs open water), and non-turbid (vs turbid). Each pixel value represents the number times each pixel was classified as flooded land and non-turbid in that stack of 28 images. Methodologies for this classification are available in Allen et al. (2008) and Allen (2016). The Atchafalaya Basin is a resource that must be managed on a system-wide basis to ensure this invaluable national resource is protected and restored. It is recognized that better tools must be developed for managing the Basin and that data evaluation is necessary to ensure sound decision-making. The natural resource inventory and assessment system (NRIAS) that was approved and funded in the FY 2010 Louisiana Department of Natural Resources Atchafalaya Basin Program Annual Plan and served as the primary tool for decision making in the Basin. The system provided a means for scientists to access relevant project data for the Basin and to request and fund data acquisition, monitoring, and data analysis to be used in project planning. This will be critical in providing information necessary for the development and approval of specific projects to be included for construction in future Annual Plans, projects that meet the needs of Louisiana citizens and protect our our natural resources. This and related datasets were created to demonstrate the patterns of inundation, turbid water and floating aquatic vegetation in the Atchafalaya Basin Floodway System at various river levels of the Atchafalaya River. Allen, Y.C., Constant, G.C., and Couvillion, B.R., 2008, Preliminary classification of water areas within the Atchafalaya Basin Floodway System by using Landsat imagery: U.S. Geological Survey Open-File Report 2008 1320, 14 p. https://pubs.er.usgs.gov/usgspubs/ofr/ofr20081320 Allen, Y.C. (2016). Landscape Scale Assessment of Floodplain Inundation Frequency Using Landsat Imagery. River Research and Applications. 32. 10.1002/rra.2987.