AndreaBozzo/ceres-open-data-index huggingface dataset:
Atlantic Migratory Fish Habitat (Southeast Blueprint Indicator)

Reason for Selection This indicator represents aquatic connectivity between fresh and salt water in Atlantic drainages. It incorporates both physical barriers to connectivity and indirect barriers related to habitat quality. It also promotes consistency with the priorities of the Atlantic Coast Fish Habitat Partnership. Input Data * [Atlantic Coast Fish Habitat Partnership (ACFHP) Fish Habitat Conservation Area Mapping and Prioritization Project]: South Atlantic and Mid-Atlantic Diadromous Analysis * [Base Blueprint 2022 extent] * [Southeast Blueprint 2023 extent] Mapping Steps * Convert the South Atlantic Diadromous Analysis from vector to 30 m raster using the FINALSCORE field. * Convert the Mid-Atlantic Diadromous Analysis from vector to 30 m raster using the TotalPoints field. * Combine the above rasters using the ArcPy Spatial Analyst Cell Statistics “MAX” function. * Reclassify the above raster into 8 classes, seen in the final indicator values below. * Clip to the spatial extent of Base Blueprint 2022. * As a final step, clip to the spatial extent of Southeast Blueprint 2023. Note: For more details on the mapping steps, code used to create this layer is available in the [Southeast Blueprint Data Download] under > 6_Code. Final indicator values Indicator values are assigned as follows: 8 = Final score of 80 (areas of excellent fish habitat) 7 = Final score of 70 (areas of excellent fish habitat) 6 = Final score of 60 (restoration opportunity areas) 5 = Final score of 50 (restoration opportunity areas) 4 = Final score of 40 (restoration opportunity areas) 3 = Final score of 30 (restoration opportunity areas) 2 = Final score of 20 (restoration opportunity areas) 1 = Final score of 10 (degraded areas of opportunity) 0 = Final score of 0 (degraded areas of opportunity) Known Issues * This indicator under and overrepresents migratory fish habitat in some areas. The South Atlantic and Mid-Atlantic Diadromous Analysis did not include fish presence and fishing data because of inconsistent sampling methods across the study area and because this data was unavailable in many shallow water habitats. Disclaimer: Comparing with Older Indicator Versions There are numerous problems with using Southeast Blueprint indicators for change analysis. Please consult Blueprint staff if you would like to do this (email [hilary_morris@fws.gov]). Literature Cited Martin, Erik, Kat Hoenke, and Lisa Havel. Atlantic Coast Fish Habitat Partnership. Fish Habitat Conservation Area Mapping and Prioritization Project: A Prioritization of Atlantic Coastal, Estuarine, and Diadromous Fish Habitats for Conservation. August 2020. [[https://www.atlanticfishhabitat.org/wp-content/uploads/2020/08/ACFHP-Mapping-and-Prioritization-Final-Report.pdf]].
Plant Sign Locations

This feature layer contains the points for the Raptor Trail plant identification signs. The Plant Identification Sign project was the first project completed by the newly formed Back Bay National Wildlife Refuge Society, the Friends group for Back Bay National Wildlife Refuge. Ten signs along the popular Raptor Trail identify both native and invasive species that visitors may see throughout the wildlife refuge and the local Virginia Beach area. Each sign includes the scientific name, common name, several facts about the plant and a sketch. Specifically, this feature layer contains the coordinates of each sign, the names of each of the plants identified along the trail, a number (to keep track of how many signs a visitor has seen along the way) and at least two pictures. One picture is a closeup of the plant and sign, and other photos help orient visitors to the location of the sign along the trail.
Tidal Marsh Vegetation Classification, DEM, 3m, Northeast U.S.

This dataset represents salt marsh communities in the Northeast Atlantic coast. The classification was produced using a combination of Digital Elevation Model (DEM) and National Agriculture Imagery Program (NAIP) multispectral imagery. This dataset combined with "Tidal Marsh Vegetation Classification, no DEM, 3m, Northeast U.S." provides a contiguous classification of tidal marsh cover types from coastal Maine to Virginia (see more below). The eight distinct cover/community types identified are: 1. High marsh: Area flooded during spring tides related to the lunar cycle and dominated by Spartina patens, Distichlis spicata, Juncus gerardii, and short form Spartina alterniflora. Other species include Juncus roemerianus, Scirpus pungens, Scirpus robustus, Limonium nashii, Aster tenuifolius, and Triglochin maritima 2. Low marsh: Area flooded regularly by daily tides and dominated by tall form Spartina alterniflora 3. Salt pools/pannes: Depressed, bare areas with sparse vegetation cover and extremely high soil salinities. Generally, pools retain water between high tides while pannes do not 4. Terrestrial border: Area infrequently flooded by storm and spring tides and can include areas of marsh with fresh/brackish water due to a high water table and/or runoff from impervious surfaces. Typical plant species include Typha angustifolia, Iva frutescens, Baccharis halimifolia, Solidago sempervirens, Scirpus robustus, and Spartina pectinata 5. Phragmites australis: A species of considerable management interest due to the invasive nature of an introduced form, especially in marshes with freshwater input, upland development, and/or increased nutrients 6. Mudflat: Exposed muddy areas free of vegetation 7. Open water (bordering cover type): Channels and bays leading to open ocean and 8. Upland (bordering cover type): All non-marsh terrestrial cover. Detailed zone descriptions, accuracy estimates for each cover type, and data limitation details are provided in this [white paper]. For more information about the development of the data please contact Mo Correll at maureen_correll@fws.gov. "Tidal Marsh Vegetation Classification, DEM, 3m, Northeast U.S.", "Tidal Marsh Vegetation Classification, no DEM, 3m, Northeast U.S.", and "DEM Difference in Tidal Marsh Vegetation Classification, 3m, Northeast U.S." are products of the Saltmarsh Habitat and Avian Research Program (www.tidalmarshbirds.org) and can all be [downloaded here].
Carbon Security Management (2020)

We created an index to look at carbon security in the sagebrush steppe across the Great Basin. Our index uses a fractional plant cover dataset from the Rangeland Analysis Platform (https://rangelands.app/), a fire probability model dataset created for the Great Basin (Smith et al., 2023), and the resistance and resilience categorical dataset created for the sagebrush steppe (Chambers et al., 2014, 2017). Our carbon security index (CSI) is made up of three parts as following: CSI = Preferred Rangeland Cover Index + Resistance & Resilience – P(Fire) The result is an index that spans from -2 to +2 and can be used to compare carbon security in different spatial. For greater detail of methods and rational please read the associated paper.
BlackBearCreekWatershed

The Black Bear Creek watershed, designated as HUC 12, is located near Klawock, Alaska, and is recognized as an important anadromous stream. This watershed plays a critical role in supporting salmon populations, providing essential spawning and rearing habitats for various fish species. As part of ongoing habitat restoration efforts, Black Bear Creek is included in a comprehensive culvert survey map aimed at identifying barriers to fish passage. This survey will assess the condition of culverts and their impact on water quality and habitat connectivity within the watershed. By addressing these barriers, the project seeks to enhance fish passage, improve habitat quality, and promote the overall health of the aquatic ecosystem.
Kake_Gradient

This dataset offers a detailed representation of the Kake area in Southeast Alaska, integrating region-specific Intrinsic Potential (IP) models for key salmon species, including pink, chum, and coho salmon. These species are vital to the ecological health and cultural heritage of the region. Designed to support fish habitat assessments and conservation planning, this layer provides valuable insights into the potential habitat quality and availability for these anadromous species. The data were derived from high-resolution 2-meter LiDAR imagery that was flown and processed in 2017. By offering detailed information on habitat quality and availability, this dataset enables researchers, conservationists, and resource managers to make informed decisions regarding habitat restoration, management practices, and conservation strategies. For greater understanding of the data and associated attributes, see the [master attribute list] provided by NetMaps.
POW_Gradient

This dataset features the NetMap processed streamlines for Prince of Wales Island, providing a comprehensive representation of the island's stream network. The streamlines are derived from advanced geospatial analyses, offering critical insights into the hydrological landscape of this ecologically rich region. Regionally derived intrinsic potential models have been developed and summarized, highlighting the potential habitat quality for anadromous fish species. These models assess the upstream effects of various geomorphic and hydrological attributes, providing valuable information for habitat restoration and conservation efforts. This layer is intended for use by resource managers, conservationists, and researchers involved in aquatic habitat assessments, restoration planning, and watershed management. It serves as a vital tool for identifying priority areas for conservation and understanding the ecological dynamics of Prince of Wales Island's stream systems.
PRI Interest Form

This feature layer is part of the Prairie Reconstruction Initiative's (PRI) database hub site (https://pri-database-fws.hub.arcgis.com/). This feature service, in concert with the form, is intended to provide a method for users visiting the hub site to contact the database manager to take next steps on access to the database. It contains emails, names, and the nature of their interest in the PRI initiative database. For question related to this feature service, please visit the hubsite for context. For additional information regarding PRI, please visit PRI's website at https://sites.google.com/view/prairiereconinitiative/home For additional information or feedback, please contact the database managers identified in the hub site. OMB Control No. 1018-0188 Expires 02/28/2026 NOTICES Paperwork Reduction Act Statement In accordance with the Paperwork Reduction Act (44 U.S.C. 3501 et seq.), the U.S. Fish and Wildlife Service collects information through the AGOL platform to improve our online maps, web-mapping applications, and story maps, and to respond to requests made under the Freedom of Information Act and the Privacy Act of 1974. Information requested in this form is purely voluntary. According to the Paperwork Reduction Act of 1995, an agency may not conduct or sponsor and a person is not required to respond to a collection of information unless it displays a currently valid OMB control number. OMB has approved this collection of information and assigned Control No. 1018-0188. Estimated Burden Statement We estimate public reporting for this collection of information to average 5 minutes per response, depending on activity, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to the Service Information Collection Clearance Officer, Division of Policy, Performance, Risk Management, and Analytics, U.S. Fish and Wildlife Service, MS: PRB (JAO/3W), 5275 Leesburg Pike, Falls Church, VA 22041-3803, or via email at Info_Coll@fws.gov.
SARP AOP Barrier Feedback Database, public view

SARP's [Aquatic Connectivity Teams] (ACTs) work within states to collaborate on aquatic organism passage projects. This database to captures feedback from users, especially users in Aquatic Connectivity Teams, on the accuracy and quality of SARP's Aquatic Organism Passage Barrier inventory and prioritization scenarios. The feedback is used to update the inventory and develop updated prioritization scenarios to better reflect the priorities of the conservation community interested in aquatic organism passage across the US. The feature service is shared through various ACT online tools.
FWS NWI Wetland Mapper Prints FY24 Missouri view

This dataset shows the extent of maps printed from the USFWS Wetlands Mapper ([https://www.fws.gov/wetlands/]) in the United States in fiscal year 2024 in the state of Missouri. The U.S. Fish and Wildlife Service’s National Wetlands Inventory (NWI) is a publicly available resource that provides detailed information on the abundance, characteristics and distribution of America’s wetlands. One of the ways the wetlands data is provided to the public is via an interactive wetlands mapper ([https://www.fws.gov/wetlands/data/Mapper.html]). The [Wetlands Mapper] delivers an easy-to-use map-like view of America’s wetland resources. It spatially integrates NWI data with additional natural resource information and political boundaries to produce a robust decision support tool. From 2015-2024, over 2.3 million maps have been printed from the NWI Wetlands Mapper. The geographic extent of these maps illuminate certain patterns of how NWI data are used by the public. Being aware of how the public uses NWI data will allow the program respond to user needs, learn where updates might be most appreciated, and help guide future project planning. For questions or comments on this information, please contact Jeff Ingebritsen (jeffrey_ingebritsen@fws.gov).
Nashvilles Highland Rim Forest

This polygon was created using a combination of geospatial intersection tools and hand digitization methods. First, the [2023 Southeast Conservation Blueprint], the Western [Highland Rim] ecoregion, and [2021 NLCD Tree Canopy Cover layers] where compared to one another to trace the eastern edge of the Nashville Highland Rim Forest, being sure to include some transition areas between developed and forested areas that provide ecosystem services and natural amenities to urban communities. Then, the [Davidson county boundary/Metropolitan government of Nashville and Davidson County] was used to intersect the western and northern side of the forest to complete the polygon. The Nashville Highland Rim Forest is relative to the county boundary because Nashville's Metro government covers the entire county. Interconnected Highland Rim forest blocks function outside of Davidson county, but focusing on the Davidson county portion makes it Nashville's Highland Rim Forest. The map below illustrates the how the Nashville Highland Rim Forest aligns with the 2023 Southeast Conservation Blueprint, the [2015 State Wildlife Action Plan's Western Highland Rim Conservation Opportunity Area], and some of the parks that fall within the forest. [Map of forest with other layers] This polygon can be used to bring awareness of the significance of the forest to Nashville residents and visitors.
Potentially Undisturbed Land Cover of the Conterminous US: Grass, Shrub, and Bare Ground

We used GIS processing and supervised land cover classification to develop a spatial model that predicts undisturbed grass, shrub, and bare ground cover. We used a proprietary spatial time-series dataset from USDA called the Common Land Unit dataset to identify lands with a past cropping history; we erased these lands from a polygon representing the contiguous US, resulting in a layer representing the boundaries of potentially undisturbed lands. While the temporal resolution of the Common Land Unit dataset can date back to the 1950s in some regions, knowledge of cropping history is incomplete. To further refine this layer we conducted supervised land cover classification to predict seven cover classes using random forest models. Training data were derived from several data sources. Class labels for training the model were derived from the potentially undisturbed lands layer and other proprietary data from USDA; these include, spatial delineations of restored grasslands enrolled in the Conservation Reserve Program, and class labels from 2017 National Resource Inventory, which is a long-term dataset used to monitor land cover change that contains sample points across the US with associated cover class labels derived from interpreted aerial imagery. We related these data to Sentinel-2 remote sensing derived indices from 2018-2021. Given the temporal mismatch between class labels and predictor data, we used a consensus approach to filter class labels, retaining only those that agreed with other more current land cover datasets, such as 2019 National Land Cover Dataset, 2020 ESA WorldCover, and 2021 Cropland Data Layer. Ultimately, the model was trained to predict the following land cover classes at a 90 m resolution: bare ground, developed, crop, open water, forest, shrub, restored grass, and potentially undisturbed grass. Class labels were related to predictor data that included a suite of indices from Sentinel-2 remote sensing mission, topographic data from GeoMorpho90m, soils data from SoilsGrids 250, and bioclimatic data from AdaptWest 30 year climate normals. Models were trained for each of 20 Major Land Resource Areas across the US and spatial model applications were mosaiced together. The final model was reclassified by land cover values and the potentially undisturbed lands layer; it contains the following cover classes within the potentially undisturbed lands layer: bare ground (value 1), grass with a spectral signature similar to restored grass (value 2), grass with a spectral signature similar to potentially undisturbed grass (value 3), and shrub (value 4). All disturbed lands (despite the predicted cover class) and all other cover classes were given the value zero
FWS_ACJV_DE_FW_Impoundments

This layer shows 21 of the larger impoundment areas of which have structures that are capable of spilling into tidal systems. These only include the coastal impoundments of significant size in which are managed by F&W and are either entirely owned by F&W and/or a combination of F&W/Private ownership in which F&W is responsible for the management of water levels. This layer shows 21 of the larger impoundment areas of which have structures that are capable of spilling into tidal systems. These only include the coastal impoundments of significant size in which are managed by F&W and are either entirely owned by F&W and/or a combination of F&W/Private ownership in which F&W is responsible for the management of water levels.
FWS NWI Wetland Mapper Prints FY21

This dataset shows the extent of maps printed from the USFWS Wetlands Mapper ([https://www.fws.gov/wetlands/]) in the United States in fiscal year 2021. The U.S. Fish and Wildlife Service’s National Wetlands Inventory (NWI) is a publicly available resource that provides detailed information on the abundance, characteristics and distribution of America’s wetlands. One of the ways the wetlands data is provided to the public is via an interactive wetlands mapper ([https://www.fws.gov/wetlands/data/Mapper.html]). The [Wetlands Mapper] delivers an easy-to-use map-like view of America’s wetland resources. It spatially integrates NWI data with additional natural resource information and political boundaries to produce a robust decision support tool. From 2015-2024, over 2.3 million maps have been printed from the NWI Wetlands Mapper. The geographic extent of these maps illuminate certain patterns of how NWI data are used by the public. Being aware of how the public uses NWI data will allow the program respond to user needs, learn where updates might be most appreciated, and help guide future project planning. For questions or comments on this information, please contact Jeff Ingebritsen (jeffrey_ingebritsen@fws.gov).
FWS NWI Wetland Mapper Prints FY20

This dataset shows the extent of maps printed from the USFWS Wetlands Mapper ([https://www.fws.gov/wetlands/]) in the United States in fiscal year 2020. The U.S. Fish and Wildlife Service’s National Wetlands Inventory (NWI) is a publicly available resource that provides detailed information on the abundance, characteristics and distribution of America’s wetlands. One of the ways the wetlands data is provided to the public is via an interactive wetlands mapper ([https://www.fws.gov/wetlands/data/Mapper.html]). The [Wetlands Mapper] delivers an easy-to-use map-like view of America’s wetland resources. It spatially integrates NWI data with additional natural resource information and political boundaries to produce a robust decision support tool. From 2015-2024, over 2.3 million maps have been printed from the NWI Wetlands Mapper. The geographic extent of these maps illuminate certain patterns of how NWI data are used by the public. Being aware of how the public uses NWI data will allow the program respond to user needs, learn where updates might be most appreciated, and help guide future project planning. For questions or comments on this information, please contact Jeff Ingebritsen (jeffrey_ingebritsen@fws.gov).
FWS NWI Wetland Mapper Prints FY24

This dataset shows the extent of maps printed from the USFWS Wetlands Mapper ([https://www.fws.gov/wetlands/]) in the United States in fiscal year 2024. The U.S. Fish and Wildlife Service’s National Wetlands Inventory (NWI) is a publicly available resource that provides detailed information on the abundance, characteristics and distribution of America’s wetlands. One of the ways the wetlands data is provided to the public is via an interactive wetlands mapper ([https://www.fws.gov/wetlands/data/Mapper.html]). The [Wetlands Mapper] delivers an easy-to-use map-like view of America’s wetland resources. It spatially integrates NWI data with additional natural resource information and political boundaries to produce a robust decision support tool. From 2015-2024, over 2.3 million maps have been printed from the NWI Wetlands Mapper. The geographic extent of these maps illuminate certain patterns of how NWI data are used by the public. Being aware of how the public uses NWI data will allow the program respond to user needs, learn where updates might be most appreciated, and help guide future project planning. For questions or comments on this information, please contact Jeff Ingebritsen (jeffrey_ingebritsen@fws.gov).
FWS NWI Wetland Mapper Prints FY22

This dataset shows the extent of maps printed from the USFWS Wetlands Mapper ([https://www.fws.gov/wetlands/]) in the United States in fiscal year 2023. The U.S. Fish and Wildlife Service’s National Wetlands Inventory (NWI) is a publicly available resource that provides detailed information on the abundance, characteristics and distribution of America’s wetlands. One of the ways the wetlands data is provided to the public is via an interactive wetlands mapper ([https://www.fws.gov/wetlands/data/Mapper.html]). The [Wetlands Mapper] delivers an easy-to-use map-like view of America’s wetland resources. It spatially integrates NWI data with additional natural resource information and political boundaries to produce a robust decision support tool. From 2015-2024, over 2.3 million maps have been printed from the NWI Wetlands Mapper. The geographic extent of these maps illuminate certain patterns of how NWI data are used by the public. Being aware of how the public uses NWI data will allow the program respond to user needs, learn where updates might be most appreciated, and help guide future project planning. For questions or comments on this information, please contact Jeff Ingebritsen (jeffrey_ingebritsen@fws.gov).