AndreaBozzo/ceres-open-data-index huggingface dataset:
Bear Lake NWR: Fire Monitoring Database

Under the Region One Fire hazardous fuels program, prescribed fire and mechanical/chemical fuels treatments are implemented to modify fire behavior by manipulating vegetation (fuels) to reduce fire hazard to communities, municipal watersheds, and key wildlife habitat.  Legal mandates, policies, and the National Fire Plan (NFP) recommend or require monitoring to evaluate management actions, including hazardous fuels and prescribed fire treatments, in support of science-based decision making (adaptive management) on refuge lands.  As with other wildlife and habitat management actions on refuge lands, monitoring to evaluate fuels treatments and prescribed fire is an integral component for implementing adaptive management.
The Pacific Regional Hazardous Fuels Treatment Monitoring Framework (adapted from a standard developed by the US Forest Service [USFS] and Bureau of Land Management [BLM] in the Pacific Northwest in 2009) requires monitoring of hazardous fuels treatments for the Pacific Region.  The Framework recommends fuel treatment effectiveness & effects monitoring. The primary purposes of monitoring are to quantify and evaluate the effectiveness of projects in meeting fire effects and fuel objectives. In order to assess if hazardous fuels were reduced, fuel loading pre- and post-treatment is estimated. 
Fuels inventory data are collected to facilitate accurate prescription development, to determine if fuel consumption objectives are met, and to relate fuel reduction to fire effects on other resources. Conducting a fuels inventory evaluates if the treatment implemented (prescribed fire or mechanical) was effective in reducing hazardous  fuels.

Tags: ff01rbrl00-057, fire-behavior, fuel-consumption, general-fire-fire-management-fuels-management, general-management-monitoring, prescribed-fire, primr-survey
Organization: Department of the Interior
National Land Cover Data for the National Wildlife Refuge System

The Natural Resources Program Center conducted a land cover analysis to determine land cover types, acres and their subsequent percentages for the National Wildlife Refuge System. The National Land Cover Database (NLCD) 2001 was used to determine land cover classes and calculate number of acres at national and regional scales. Coordination Areas, National Wildlife Refuges, Wildlife Management Areas and Waterfowl Production Areas were extracted from the U.S. Fish and Wildlife Service interest boundary. Excluding Hawaii and Puerto Rico, other pacific and Caribbean were not included in the analysis due to absence of land cover data in the area. The FwsInterest feature class is an aggregated data layer derived by appending separate regional feature data sets into a single national set. The spatial and positional accuracy of this information will vary depending on the original source data and methods utilized. For additional details on FWS boundary data refer to http://www.fws.gov/GIS/data/CadastralDB/index.htm. The NLCD layer was produced through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium. It was developed for the United States at medium spatial resolution. This landcover map and all documents pertaining to it are considered "provisional" until a formal accuracy assessment can be conducted. For a detailed definition and discussion on MRLC and the NLCD 2001 products, refer to Homer et al. (2004) and http://www.mrlc.gov/mrlc2k.asp.

Tags: alaska, base-maps, continental-us, digital-spatial-data, earth-cover, gis, hawaii, imagery, land-cover, nwrs, puerto-rico, united-states, us
Organization: Department of the Interior
Series of aerial images over Monte Vista National Wildlife Refuge, acquired in 1960

This data set includes 7 georeferenced and clipped versions of aerial photographs from August 1960, taken over Monte Vista National Wildlife Refuge. A georeferenced mosaic of the photographs is included in the data set.  Like other historic photos, this image allows for interpretation of habitat types on the refuge in 1960. Change over time estimates can be made from this image using current imagery for comparison. This image, along with others, are being used by refuge staff to assist in understanding and visualizing the historical content of the lands within the refuge and how they have changed.  The original black and white aerial photograph was acquired in digital form from USGS EarthExplorer. Individual frames were referenced to the 2009 NAIP color imagery with ArcMap 10.0. The resolution of the image is 3 meters. This image should be used for resource-level interpretation only.

Tags: aerial-photo, biota, colorado, ecosystems, hydrologic-basins, refuge-boundaries
Organization: Department of the Interior
Juvenile salmon trap and biometric raw datasheets from baited “minnow” traps in Campbell Creek, Alaska

Collection of datasheets (pdf files) containing raw data collected during baited minnow trap study in 2021.

Tags: chinook-salmon, coho-salmon, general-management-natural-resources-management-fisheries-management, juvenile-salmon, king-salmon, methodology, minnow-trap, oncorhynchus-kisutch, oncorhynchus-tshawytscha, pacific-salmon, research-methods, silver-salmon
Organization: Department of the Interior
Invasive Plant Inventory at Marin Island National Wildlife Refuge- Data Documentation

In 2018, an invasive plant inventory of priority invasive plant species in priority areas was conducted at Marin Island National Wildlife Refuge. Results from this effort will inform the development of invasive plant management objectives, strategies, and serves as a baseline for assessing change in the status of invasive plant distribution or abundance over time.

Tags: alien, early-detection, general-biology-invasive-species-invasive-exotic-plants, general-biology-species-plants, general-management-inventory, general-management-monitoring, invasive-plants, invasive-species, inventory, ipiedpt, non-native, plants, priorities, prioritization, rapid-response, vegetation-management, weeds
Organization: Department of the Interior
GOAMAPPS Air Sea Turtle Observations

This product represents the sea turtle observation count data for the 2018-2020 Gulf of America Marine Assessment Program for Protected Species surveys and the subsequent 2022-2023 U.S. Fish and Wildlife Service aerial surveys in the northern Gulf of America.

File goamapps_air_sea_turtle_observations_forDistribution.csv and both an html and xml metadata file are included.

For more information, consult the associated metadata.

Tags: aerial-survey, alabama, florida, goamapps, green-sea-turtle, gulf-of-america, hawksbill-sea-turtle, kemps-ridley-sea-turtle, leatherback-sea-turtle, loggerhead-sea-turtle, louisiana, mississippi, population-survey, sea-turtle, texas, transect-design
Organization: Department of the Interior
GOAMAPPS Air Marine Mammal Observations

This product represents the marine mammal observation count data for the 2018-2020 Gulf of America Marine Assessment Program for Protected Species surveys and the subsequent 2022-2023 U.S. Fish and Wildlife Service aerial surveys in the northern Gulf of America.

File goamapps_air_marine_mammal_observations_forDistribution.csv and both an html and xml metadata file are included.

For more information, consult the associated metadata.

Tags: aerial-survey, alabama, dolphin, florida, goamapps, gulf-of-america, louisiana, manatee, marine-mammal, mississippi, population-survey, texas, transect-design, whale
Organization: Department of the Interior
Minidoka NWR Invasive Plant Inventory - Grid-based: Survey123 Results on Weed Species Occurrences (Archived Version)

This geospatial dataset consists of points corresponding to the center of 50 x 50 m grid cells which were surveyed for a finite set of target invasive plant species on Minidoka National Wildlife Refuge. Each point corresponds to a single Survey123 form which was used to record the outcomes for a grid cell.  Attributes include the grid cell id, surveyor's name, the date and time the survey was conducted and species-level survey results. For each of the target species data indicate whether that species was present or not present. If a weed species is observed within a grid cell, it is present, it is assigned to one of four abundance categories: Single individual, Scattered plants, Scattered dense patches, or Dense monoculture.

Tags: biota, environment, general-biology-invasive-species-invasive-exotic-plants, general-management-inventory, idaho, invasive-species, inventory, minidoka-national-wildlife-refuge, survey, vascular-plants
Organization: Department of the Interior
Big South Fork National River & Recreation Area     Small-Scale Base GIS Data

This data set contains small-scale base GIS data layers
    compiled by the National Park Service Servicewide Inventory and
    Monitoring Program and Water Resources Division for use in a
    Baseline Water Quality Data Inventory and Analysis Report that was
    prepared for the park.  The report presents the results of surface
    water quality data retrievals for the park from six of the United
    States Environmental Protection Agency's (EPA) national
    databases: (1) Storage and Retrieval (STORET) water quality database
    management system; (2) River Reach File (RF3) Hydrography; (3)
    Industrial Facilities Discharges; (4) Drinking Water Supplies; (5)
    Water Gages; and (6) Water Impoundments.  The small-scale GIS data
    layers were used to prepare the maps included in the report that
    depict the locations of water quality monitoring stations,
    industrial discharges, drinking intakes, water gages, and water
    impoundments.  The data layers included in the maps (and this
    dataset) vary depending on availability, but generally include
    roads, hydrography, political boundaries, USGS 7.5' minute
    quadrangle outlines, hydrologic units, trails, and others as
    appropriate. The scales of each layer vary depending on data source
    but are generally 1:100,000.

Tags: big-south-fork-national-river-and-recreation-area, big-south-fork-national-river-recreation-area, biso, gis, hydrography, hydrology, oneida, tn, water, water-quality, wrd
Organization: Department of the Interior
R-code, Dataset, Analysis and output (2012-2020): Occupancy and Probability of Detection for Bachman's Sparrow (Aimophila aestivalis), Northern Bobwhite (Collinus virginianus), and Brown-headed Nuthatch (Sitta pusilla) to Habitat Management Practices on Carolina Sandhills NWR

This reference contains the R-code for the analysis and summary of detections of Bachman's sparrow, bobwhite quail and brown-headed nuthatch through 2020.   Specifically generates probability of detection and occupancy of the species based on call counts and elicited calls with playback.  The code loads raw point count (CSV files) and fire history data (CSV) and cleans/transforms into a tidy format for occupancy analysis. It then creates the necessary data structure for occupancy analysis, performs the analysis for the three focal species, and provides functionality for generating tables and figures summarizing the key findings of the occupancy analysis.   The raw data, point count locations and other spatial data (ShapeFiles) are contained in the dataset.

Tags: abundance, aimophila-aestivalis, bachmans-sparrow, bird-inventory-and-monitoring, brown-headed-nuthatch, colinus-virginianus, fine-scale-habitat-associations, general-biology-communities-and-ecosystems-woodland, general-biology-species-birds, general-fire-fire-effects-wildlife, general-management-inventory, general-management-monitoring, northern-bobwhite, occupancy, pine, playback-survey, probability-of-detection, sitta-pusilla, suitable-habitat, surrogate-species-monitoring
Organization: Department of the Interior
Big Thicket National Preserve Small-Scale Base GIS Data

This data set contains small-scale base GIS data layers
    compiled by the National Park Service Servicewide Inventory and
    Monitoring Program and Water Resources Division for use in a
    Baseline Water Quality Data Inventory and Analysis Report that was
    prepared for the park.  The report presents the results of surface
    water quality data retrievals for the park from six of the United
    States Environmental Protection Agency's (EPA) national
    databases: (1) Storage and Retrieval (STORET) water quality database
    management system; (2) River Reach File (RF3) Hydrography; (3)
    Industrial Facilities Discharges; (4) Drinking Water Supplies; (5)
    Water Gages; and (6) Water Impoundments.  The small-scale GIS data
    layers were used to prepare the maps included in the report that
    depict the locations of water quality monitoring stations,
    industrial discharges, drinking intakes, water gages, and water
    impoundments.  The data layers included in the maps (and this
    dataset) vary depending on availability, but generally include
    roads, hydrography, political boundaries, USGS 7.5' minute
    quadrangle outlines, hydrologic units, trails, and others as
    appropriate. The scales of each layer vary depending on data source
    but are generally 1:100,000.

Tags: beaumont, big-thicket-national-preserve, bith, gis, hydrography, hydrology, tx, water, water-quality, wrd
Organization: Department of the Interior
YOSE Wilderness Restoration Area Surveyed 2022

This feature layer depicts all areas where crew members systematically looked for campsites, invasive plants, and informal trails within Yosemite National Park's Wilderness areas. Crews survey for and document these items, then perform ecological restoration treatments as necessary to maintain and protect cultural and natural resources, natural processes, and wilderness character. 

Crews often concentrate surveys and treatments around areas of high human use, like trails, camping destinations such as lakes, rivers, valleys, viewpoints, and areas more accessible from development, but also survey the park by a large in search of disturbance. Fire, a natural process, for example, can be an accelerant for the spread of invasive plants as it provides open space for rapid growing plants to move into. 

Since its beginning in 1984, the WRP has restored thousands of campsites, hundreds of miles of rutted trails, and dozens of acres of land affected by invasive plants.

Tags: camping, campsite, campsite-restoration, wilderness, wilderness-restoration
Organization: Department of the Interior
Hydrographic and Impairment Statistics Database: SHIL

Hydrographic and Impairment Statistics (HIS) is a National Park Service (NPS) Water Resources Division (WRD) project established to track certain goals created in response to the Government Performance and Results Act of 1993 (GPRA). One water resources management goal established by the Department of the Interior under GRPA requires NPS to track the percent of its managed surface waters that are meeting Clean Water Act (CWA) water quality standards. This goal requires an accurate inventory that spatially quantifies the surface water hydrography that each bureau manages and a procedure to determine and track which waterbodies are or are not meeting water quality standards as outlined by Section 303(d) of the CWA. This project helps meet this DOI GRPA goal by inventorying and monitoring in a geographic information system for the NPS: (1) CWA 303(d) quality impaired waters and causes; and (2) hydrographic statistics based on the United States Geological Survey (USGS) National Hydrography Dataset (NHD). Hydrographic and 303(d) impairment statistics were evaluated based on a combination of 1:24,000 (NHD) and finer scale data (frequently provided by state GIS layers).

Tags: 303d, boundaries, boundary, canal, clean-water-act, cwa, designated-uses, ditch, geoscientificinformation, his, hydrographic-and-impairment-statistics, hydrographic-statistics, hydrography, impaired-waters, impairment, impairment-statistics, inland-waters, inlandwaters, lake, marsh, national-hydrography-dataset, nhd, ocean, oceans, pond, regulatory, reservoir, resource-management, river, sea, seep, shil, shiloh-national-military-park, shoreline, spring, statistics, stream, swamp, tmdl, total-maximum-daily-load, water, waterfall, wetlands
Organization: Department of the Interior
Hydrographic and Impairment Statistics Database: STRI

Hydrographic and Impairment Statistics (HIS) is a National Park Service (NPS) Water Resources Division (WRD) project established to track certain goals created in response to the Government Performance and Results Act of 1993 (GPRA). One water resources management goal established by the Department of the Interior under GRPA requires NPS to track the percent of its managed surface waters that are meeting Clean Water Act (CWA) water quality standards. This goal requires an accurate inventory that spatially quantifies the surface water hydrography that each bureau manages and a procedure to determine and track which waterbodies are or are not meeting water quality standards as outlined by Section 303(d) of the CWA. This project helps meet this DOI GRPA goal by inventorying and monitoring in a geographic information system for the NPS: (1) CWA 303(d) quality impaired waters and causes; and (2) hydrographic statistics based on the United States Geological Survey (USGS) National Hydrography Dataset (NHD). Hydrographic and 303(d) impairment statistics were evaluated based on a combination of 1:24,000 (NHD) and finer scale data (frequently provided by state GIS layers).

Tags: 303d, boundaries, boundary, canal, clean-water-act, cwa, designated-uses, ditch, geoscientificinformation, his, hydrographic-and-impairment-statistics, hydrographic-statistics, hydrography, impaired-waters, impairment, impairment-statistics, inland-waters, inlandwaters, lake, marsh, national-hydrography-dataset, nhd, ocean, oceans, pond, regulatory, reservoir, resource-management, river, sea, seep, shoreline, spring, statistics, stones-river-national-battlefield, stream, stri, swamp, tmdl, total-maximum-daily-load, water, waterfall, wetlands
Organization: Department of the Interior
Hydrographic and Impairment Statistics Database: MISP

Hydrographic and Impairment Statistics (HIS) is a National Park Service (NPS) Water Resources Division (WRD) project established to track certain goals created in response to the Government Performance and Results Act of 1993 (GPRA). One water resources management goal established by the Department of the Interior under GRPA requires NPS to track the percent of its managed surface waters that are meeting Clean Water Act (CWA) water quality standards. This goal requires an accurate inventory that spatially quantifies the surface water hydrography that each bureau manages and a procedure to determine and track which waterbodies are or are not meeting water quality standards as outlined by Section 303(d) of the CWA. This project helps meet this DOI GRPA goal by inventorying and monitoring in a geographic information system for the NPS: (1) CWA 303(d) quality impaired waters and causes; and (2) hydrographic statistics based on the United States Geological Survey (USGS) National Hydrography Dataset (NHD). Hydrographic and 303(d) impairment statistics were evaluated based on a combination of 1:24,000 (NHD) and finer scale data (frequently provided by state GIS layers).

Tags: 303d, 3303d, boundaries, boundary, canal, clean-water-act, cwa, designated-uses, ditch, geoscientificinformation, his, hydrographic-and-impairment-statistics, hydrographic-statistics, hydrography, impaired-waters, impairment, impairment-statistics, inland-waters, inlandwaters, lake, marsh, mill-springs-battlefield-national-monument, misp, national-hydrography-dataset, nhd, ocean, oceans, pond, regulatory, reservoir, resource-management, river, sea, seep, shoreline, spring, statistics, stream, swamp, tmdl, total-maximum-daily-load, water, waterfall, wetlands
Organization: Department of the Interior
Filegeodatabase of Chena River habitat map with water column 2022

File geodatabase containing substrate imagery and mosaiced imagery derived from raw side-scan sonar scans conducted throughout the lower Chena River in 2021 and 2022 using a side-scan sonar unit (Humminbird Helix 15). Raw data were processed using SonarTRX software following the protocol listed in "Side scan sonar post-processing guide, SonarTRX protocol, mosaic creation, and interpretation. Cameron Bodine, Florida Fish and Wildlife Conservation Commission".

Tags: chinook-salmon, general-management-habitat-management-habitat-models, habitat-mapping, king-salmon, oncorhynchus-tshawytscha, side-scan-sonar
Organization: Department of the Interior
Hydrographic and Impairment Statistics Database: HOME

Hydrographic and Impairment Statistics (HIS) is a National Park Service (NPS) Water Resources Division (WRD) project established to track certain goals created in response to the Government Performance and Results Act of 1993 (GPRA). One water resources management goal established by the Department of the Interior under GRPA requires NPS to track the percent of its managed surface waters that are meeting Clean Water Act (CWA) water quality standards. This goal requires an accurate inventory that spatially quantifies the surface water hydrography that each bureau manages and a procedure to determine and track which waterbodies are or are not meeting water quality standards as outlined by Section 303(d) of the CWA. This project helps meet this DOI GRPA goal by inventorying and monitoring in a geographic information system for the NPS: (1) CWA 303(d) quality impaired waters and causes; and (2) hydrographic statistics based on the United States Geological Survey (USGS) National Hydrography Dataset (NHD). Hydrographic and 303(d) impairment statistics were evaluated based on a combination of 1:24,000 (NHD) and finer scale data (frequently provided by state GIS layers).

Tags: 303d, boundaries, boundary, canal, clean-water-act, cwa, designated-uses, ditch, geoscientificinformation, his, home, homestead-national-historical-park, homestead-national-monument-of-america, hydrographic-and-impairment-statistics, hydrographic-statistics, hydrography, impaired-waters, impairment, impairment-statistics, inland-waters, inlandwaters, lake, marsh, national-hydrography-dataset, nhd, ocean, oceans, pond, regulatory, reservoir, resource-management, river, sea, seep, shoreline, spring, statistics, stream, swamp, tmdl, total-maximum-daily-load, water, waterfall, wetlands
Organization: Department of the Interior