AndreaBozzo/ceres-open-data-index huggingface dataset:
WDFW Area within Billy Frank Jr. Nisqually NWR

This is a cartographic representation of the Nisqually Wildlife Area Unit (WLAU) adjacent to Billy Frank Jr. Nisqually NWR, as depicted in the Washington Department of Fish and Wildlife's "Wildlife Area" data layer published to ArcGIS Online on May 10, 2018. The WDFW source layer was modified to align with the U.S. Fish and Wildlife cadastral boundaries to provide seamless coverage. The Nisqually Unit consists of multiple parcels near the confluence of the Nisqually River and Puget Sound, and adjacent to the Nisqually National Wildlife Refuge. This land is administered by the Washington Department of Fish and Wildlife. (https://wdfw.wa.gov/places-to-go/wildlife-areas/nisqually-wildlife-area-unit) <o:p></o:p> Data should only be used for general display, mapping, and planning purposes. Extreme care was taken during the compilation of these boundaries to ensure accuracy. However, Washington State Department of Fish and Wildlife had to rely on outside sources of information when compiling these data, and therefore cannot accept any responsibility or liability for errors and/or omissions in the use of these data. Washington State Department of Fish and Wildlife provides no warranties to accompany this data. Contact Washington State Department of Fish and Wildlife Regional offices for further information about departmentally owned or controlled lands. The original layer can be viewed using this URL: https://geodataservices.wdfw.wa.gov/arcgis/rest/services/MapServices/WildlifeAreas/MapServer/0
USFWS Joint Venture Sea Duck Key Habitat Sites Atlas v2 feature layer

This geodataset describes 85 sites throughout North America that constitute important sea duck habitats. Version 2 includes fields for species and seasonality for a total of 558 rows. It is intended to heighten awareness of valuable sea duck habitats, aid in prioritizing habitat conservation and protection efforts, and help in evaluating environmental assessments. Criteria for inclusion in this atlas were strict, relative to criteria used for other bird habitat designations, to highlight those habitats most critical to sea ducks during at least one season. To be included in this atlas, sites had to meet the following minimum criteria: (1a) The area supports at least 5% of the continental population of a sea duck species, or (1b) The area supports, or has recently supported, a total of 20,000 sea ducks (any species) during any season, and (2) The density of sea ducks within the area is at least 10 birds per square kilometer. It is important to note that abundance was estimated or calculated using a variety of methods and sources. Each site description includes an explanation of how abundance estimates were treated, whether indices were adjusted by estimates of detection, and how they should be interpreted. Due to the paucity of survey-based abundance estimates for sea ducks in many areas and in various seasons, expert opinion was often used as a basis for abundance estimates. Key habitat site descriptions include a synopsis of sea duck abundance and temporal importance of the site to sea ducks, as well as sensitivities or potential conflicts that may impact sea ducks or their habitats. Full metadata and data asset available on USGS ScienceBase: [https://www.sciencebase.gov/catalog/item/646ea436d34e4e58932cf63a] [https://doi.org/10.7944/P9KHRJKW] Point of Contact: Kate Martin (kate_martin@fws.gov) Curator: Tammy Patterson (tamatha_patterson@fws.gov)
FWS R7 MBM Trumpeter and Tundra Swan database feature layer

In the 1960s, US Fish and Wildlife Service (USFWS) Alaska Region Migratory Bird Management (MBM-AK) developed a protocol for aerial Trumpeter Swan (Cygnus buccinator) and Tundra Swan (C. columbianus) abundance surveys in Alaska that was used by several government agencies and private entities through 2015. This standardized survey protocol allowed data collected by these diverse organizations to be stored together in a common digital archival system called the Alaska Swan Database, which is maintained by MBM-AK. Contributions to the database ranged from relatively small, localized surveys to the statewide quinquennial Alaska Trumpeter Swan Survey. Survey timing was either the spring nesting period or late summer before cygnets fledged. A sample unit consisted of one entire USGS 1:63,360 topographic map, or a complete one-quarter block of a 1:63,360 map. A quarter block consisted of the NW, NE, SE, or SW quadrant of a map. Swan observations were recorded as a single adult, adult pair, single with nest (spring only), pair with nest (spring only), single with brood, pair with brood, or flock of adults, with cygnets and flocked swans enumerated. The geographic coordinates were also recorded for each observation. Complete metadata and csv data available on USGS ScienceBase Repository: [ https://www.sciencebase.gov/catalog/item/646e79ded34e4e58932cf5f1] [https://doi.org/10.7944/P9WQQS3M]
Delaware Watershed National Fish and  Wildlife Foundation Grants 2019, FWS Northeast Region

In 2018, the National Fish and Wildlife Foundation launched the Delaware Watershed Conservation Fund in partnership with the U.S. Fish and Wildlife Service. The fund represents the first step in implementing a strategy developed by partners with guidance from the Service to focus conservation in four key areas: clean water, habitat, recreation, and flow management. This map displays projects that have been awarded funding to date to help conserve and connect lands and waterways that support native fish, wildlife, and plants, and contribute to the vitality of the communities in the watershed. This dataset represents the 30 projects awarded funding from the Delaware Watershed Conservation Fund in 2019. These projects will collectively restore 5.23 miles of riparian habitat and 12.32 miles of stream habitat, improve and assess 548 fish passage barriers, conserve and enhance 127 acres of wetland habitat, restore 20 acres of floodplain, prevent 5,000,000 gallons of stormwater runoff, improve 3,417 acres of forest habitat management, and open 117.1 acres for public access.
Ecoregion Scale Climate Refugia

Dreiss et al. (2022) combined eight refugia datasets (current climate diversity, ecotypic diversity, land facet diversity, landscape diversity, bird macrorefugia, climate dissimilarity, climate velocity, and tree macrorefugia) using a weighted principal components analysis. We took the ecoregion scale composite layer, reclassified to a 0/1 binary using the top third of values (6.7694) and converted 1’s to polygons. Because this layer already represents several facets of ecosystem diversity, we chose to use it as the sole indicator of ecosystem function for our first draft intactness model. See limitations in Dreiss et al. (2022)
1911_Remnant_Colonies

At the time legal harvest of sea otters ended in 1911, it is estimated that from a few hundred up to perhaps as many as 2,000 sea otters had survived in 13 small and widely dispersed locations: three in Kuril Islands, Kamchatka Peninsula, and the Commander Islands off Russia; seven small, scattered groups from the Aleutian Islands to Prince William Sound in Alaska; and one small group off the coast of central California near Big Sur. Two additional groups had remained briefly in the Queen Charlotte Islands of Canda and San Benito Island of Mexico, but these soon died out. The last wild sea otter in Oregon was killed in 1906, and in Washington in 1910.
FWS HQ National Wild Fish Health Survey Database Pre-Laboratory Information Systems 1996-2020

The United States Fish & Wildlife Service (USFWS) National Wild Fish Health Survey Database (NWFHSDb) has been available to the public since September 2001. The database contains data on pathogen occurrence in free-ranging (wild) populations of fish. This data is collected via the National Wild Fish Health Survey, initiated in 1996 as a collaborative effort among natural resource agencies. The survey is maintained and managed by the seven USFWS National Fish Health Centers. The database is part of an effort to create an information system that will be a valuable tool for the management, protection, and recovery of aquatic ecosystems. The NWFHSDb consists of two distinct components: an internal database maintained and utilized by the Fish Health Centers for entering, tracking, and reporting data, and this publicly accessible web layer. Data from each Fish Health Center is available on this layer for display and download. The NWFHSDb displays pathogen distribution information and is based on the spatial data generated by the Fish Health Centers. The NWFHSDb itself is a geographic information system (GIS) designed to be accessed via a web browser. It offers users the ability to obtain maps of NWFHS data based on user-defined queries. Individual case reports are available for each record and search results may be downloaded in several formats for further analysis. This database contains the National Wild Fish Health Survey from 1996 to 2020. Majority of data in this feature layer was recorded and stored prior to the implementation of the Laboratory information systems (LIMS) database on October 1, 2018.
RestorationConservationLHF_SF_inSageCoreGrowth500ft

This layer modifies existing Beaver Restoration Assessment Tool shapefile results by filtering to show only perennial streams in the Easiest-Low Hanging Fruit and Straight-Forward - Quick Return Categories within the Sagebrush boundary in Idaho. This layer is used to display these streams on a mapping tool with the purpose of selecting streams where it might be easiest to provide process-based restoration. This is part of the mesic restoration prioritization within Sagebrush in Idaho. The Beaver Restoration Assessment Tool (BRAT) website describes BRAT as, "The Beaver Restoration Assessment Tool (BRAT) is planning tool intended to help researchers, restoration practitioners and resource managers assess the potential for beaver as a stream conservation and restoration agent over large regions and watersheds. At the heart of BRAT is a capacity model, which estimates the upper limit of dam density (dams per kilometer) for individual stream reaches throughout a drainage network. We focus on predicting where beavers could build dams and to what extent (as opposed to the more general case of where beaver could make a living), because it is the dam building activity they do as ecosystem engineers, which we are typically most interested in." [https://brat.riverscapes.net/]
Total Score HUC 8 Sagebrush Core and Growth and BRAT 2

This layer creates a total mesic restoration potential score at the HUC 8 planning scale. Total score of 1 is lowest priority and 10 is highest priority. The score is composed of 2 sub scores described below. For both Planning and Site Level work, this layer includes polygons showcasing the percentage of each Idaho HUC (8 or 12) in Sagebrush Core and Growth categories based on the Sagebrush Conservation Design. These HUCs are divided into 5 equal intervals 0-20%, 20-40%, 40-60%, 60-80%, and 80-100% and symbolized, with dark colors showing more sagebrush core and growth. In addition, they are scored 1-5 with 1 signifying HUCs averaging the least amount of Sagebrush per HUC and 5 being areas averaging the most Sagebrush per HUC. The Beaver Restoration Assessment Tool (BRAT) downloads for the state of Idaho were incorporated into the analysis. The results for perennial streams were queried to include only the streams categorized in the BRAT analysis as Easiest- low hanging fruit, or Straightforward with the purpose of selecting streams where it might be easiest to provide process-based restoration. After the BRAT data was filtered on these categories it was clipped to find only the streams that were falling within Sagebrush Core and Growth areas or a 500ft buffer of Core and Growth Areas. The resulting BRAT streams that fit these two criteria – in Easiest or Straightforward areas and within a 500ft boundary of Sagebrush Core and Growth areas were summed based on stream miles per HUC. They were binned into 5 categories using Quantile and scored 1-5 with the HUCs having the most stream miles for potential restoration receiving a 5, and those with the least stream miles receiving a 1. These steps were taking for both HUC 8 and HUC12.
SECAS Boundary

SECAS brings together public and private organizations around a bold vision for the future of our region. We're connecting the lands and waters of the Southeast and Caribbean to support healthy ecosystems, thriving fish and wildlife populations, and vibrant communities. With a data-driven spatial plan and an ambitious regional goal, SECAS helps accelerate conservation action in the places where it will make the biggest impact. The SECAS story map shows some of the many projects in the Southeast and Caribbean that make use of SECAS indicators to help conserve the environment. Hilary Morris (hilary_morris@fws.gov) manages the content for the website and map; Roy Hewitt (roy_hewitt@fws.gov) manages the story map application. Both are employees of the U.S. Fish and Wildlife Service. Learn more at [https://secassoutheast.org/].
KIC_NetMap_Local

These streamlines are created through Terrainwork's NetMap software and is clipped to the service area of the KIC natural resource surveying locations. This dataset contains attributes that are used in various types of landscape to reach scale analyses using the software package 'NetMap' for natural resource management, including forestry, fisheries, urban planning, pre and post wildfire management, watershed to reach scale restoration and conservation. To read more about how the stream layers and associated digital landscapes were built, go to: https://www.terrainworks.com/synthetic-river-derivation and https://www.netmaptools.org/Pages/Digital_Landscape/netmap_s_digital_landscape.htm?ms=AA==&mw=MjQw&st=MA==&sct=MA== To see the type of questions that can be answered and the types of applications NetMap can be used for, see: https://www.terrainworks.com/step-wise-guide-apps
WSFR Shooting Range Data

ESRI Feature service showing locations of Wildlife & Sport Fish Restoration Program (WSFR) Supported Target Ranges and Archery Ranges across the United States of America. The data represented is collected and updated from State partners and cooperators. Updated 3/18/2024 Range Type is defined as: Archery: Only Archery is allowed at the range Firearms: Only Firearms are allowed at the range Combination: Both Archery and Firearms are allowed at the range Data can be accessed as a service from the following URL: https://services.arcgis.com/QVENGdaPbd4LUkLV/arcgis/rest/services/WSFR_Shooting_Range_Data/FeatureServer
Ecological Integrity Rank3

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.
MBCF_Basins_PairEstimates_Dec14_2021

Estimates of the abundance and distribution of breeding waterfowl relative to the wetlands mapped by the USFWS National Wetland Inventory for the Prairie Pothole Region were produced for portions of MN, IA, ND, SD, and MT. These estimates are essential for developing decision support tools for strategic habitat conservation, assessment of the breeding waterfowl carrying capacity of the wetland resources, risk of loss of those resources, and assessment of contribution of past conservation efforts in the Region. We used habitat-breeding pair abundance relationship models developed by the HAPET office and USGS to estimate the average wetness and attractiveness of the wetlands mapped by NWI in the PPR. This pair abundance layer is critical for understanding the biological value of wetland resources for breeding waterfowl. Models to estimate breeding duck pair abundance were first available in 1993 for parts of ND, SD, and MT. The geography where abundance models are available has expanded to include the entire US Prairie Pothole Region. There have been 6 iterations of the models using evolving analytical techniques and additional data collected by the USFWS four square mile survey to improve the predictive qualities of the models Species-specific estimates are included for mallard, blue-winged teal, northern pintail, northern shoveler, gadwall, canvasback, redhead, lesser scaup, ruddy duck, ring-necked duck, and wood duck.
Midwest Mussel Species Richness Estimates

More Details Stream SR was estimated by summing the total number of mussel species predicted within each stream. Stream-level weighted endemism was calculated by weighting each species’ presence in the stream by the inverse of the total number of streams it was predicted to occupy, then summing across all species predicted present within the stream. This biodiversity metric therefore provides context about the range extent of the species predicted within the stream (e.g., higher values indicate either high richness or the presence of several range-restricted species). Stream-level corrected weighted endemism was calculated by dividing weighted endemism by the total number of species predicted present within the stream. This metric therefore corrects for an abundance of species predicted present within a stream (meaning, larger corrected weighted endemism values indicate the presence of more range-restricted species). Endemism metrics were rescaled to fall between zero and one to increase metric interpretability. These rescaled values were used in ensuing analyses. Stream-level SR and endemism metrics within each HUC region were strongly right-skewed (many smaller values and few large values). Fields of Note COMID - Stream reach ID SS_SR - Estimated species richness SS_WE - Estimated weighted endemism SS_CWE - Corrected weighted endemism Additional Resources This data, as well as data layers depicting hot/cold spots of species richness and other biodiversity metrics at HUC4, HUC6, and HUC8 spatial scales, are available for download here: [https://www.sciencebase.gov/catalog/item/65d762ced34ec3e1801d7e30].
AFSI_20180201_survey_v3

Conserving Shorebirds in the Atlantic Flyway. This storymap presents how partners are addressing threats to shorebirds and working to meet the Atlantic Flyway Shorebird Initiative's conservation goal of increasing focal shorebird populations 10% by 2025. For more information about the storymap or specific projects, contact Debra_Reynolds@fws.gov Please see the storymap at this link: [Conserving Shorebirds in the Atlantic Flyway (arcgis.com)] The great migration... Shorebirds cross thousands of miles each year from the barren tundra of the arctic to the wind swept beaches of Tierra del Fuego in the southern hemisphere. The majority of shorebirds breeding in Alaska and Canada spend their non-breeding period in South American or Caribbean countries. During migration, shorebirds face a multitude of challenges including: * finding sufficient food sources to fuel their long distant migrations; * avoiding predators; * competing for limited habitat; * adapting to a changing climate; and * succumbing to sport and subsistence hunting.
Fish Passage Construction Daily Report_results

This layer displays point data generated from the publicly available [Survey123 form], that goes by the same name. The goal of this is to display data collected on active US Fish and Wildlife Fish Passage construction sites across Alaska, through use of a survey and [ArcGIS Dashboard] to display and manage construction photos, while providing a tool to track progress in the construction process. Both the form and the dashboard associated with this layer are publicly available and hyperlinked above. For further questions contact timothy_a_ericson@fws.gov or jessica_straub@fws.gov.
USFWS Necedah NWR Service Roads

The Road Feature Class identifies all main roads on Necedah National Wildlife Refuge managed lands. These roads are not accessible to public vehicle access without special permits. These roads are often incorrectly shown on navigation and mapping applications as being open to public vehicles. This feature class will be used in conjunction with a public road condition feature class to aid refuge visitors who wish to explore the Necedah National Wildlife Refuge and the surrounding areas by vehicle. The Road Feature Class identifies all main roads on Necedah National Wildlife Refuge managed lands. These roads are not accessible to public vehicle access without special permits. These roads are often incorrectly shown on navigation and mapping applications as being open to public vehicles. This feature class will be used in conjunction with a public road condition feature class to aid refuge visitors who wish to explore the Necedah National Wildlife Refuge and the surrounding areas by vehicle.
USFWS Necedah NWR and Meadow Valley SWA Public Access Roads

The Feature Class identifies township maintained public roadways on and around Necedah National Wildlife Refuge and Meadow Valley State Wildlife Area managed lands. These roads are open to public vehicle access without special permits. However, the condition of these roads changes rapidly resulting in occasional temporary road closures. This feature class will use the best available information to update visitors on the present condition of each segment of publicly accessible road. The Feature Class identifies township maintained public roadways on and around Necedah National Wildlife Refuge and Meadow Valley State Wildlife Area managed lands. These roads are open to public vehicle access without special permits. However, the condition of these roads changes rapidly resulting in occasional temporary road closures. This feature class will use the best available information to update visitors on the present condition of each segment of publicly accessible road.
AR MAV CDN Reforestation Decision Support Tool

FOR non-AGOL ACCOUNT HOLDERS, DOWNLOAD THIS GEOSPATIAL DATA HERE: https://gis-fws.opendata.arcgis.com/search?tags=lmvjv The Forest Reforestation DST of the AR MAV CDN is constructed to help partners define a strategy for identifying and addressing delivery priorities in the Network area, particularly related to forest reforestation/afforestation. The DST combines best available landscape design data that collectively consider multiple priorities for bottomland hardwood restoration in the Mississippi Alluvial Valley - Ducks Unlimited’s Wetlands Restoration Suitability Model and the LMVJV"s Forest Breeding-bird Decision Support Model. This DST revision incorporates both updated data and newly revised data in this dual modeling approach. The incorporated data models include: recently updated 2011 MAV Forest Breeding Bird Decision Support Model (Lower MS Valley Joint Venture, 2015) and the DU Wetland Restoration Suitability Model. Although inputs used in the revision are considered the highest resolution data (30m x 30m pixels) available, and fully consistent with landscape level conservation uses, final outputs are actually presented in the form of priority clusters or neighborhoods, produced through GIS focal neighborhood analysis. Since conservation activities do not typically occur at scales as small as 900 meters2 (or less than one-quarter acre), utilizing neighborhood analysis is helpful for finding where high priority pixels are more densely associated. Thus, the approach better assists in identifying priority areas where conservation actions might be focused as oppose to working with or attempting to target priority pixels.