AndreaBozzo/ceres-open-data-index huggingface dataset:
Airborne magnetic survey of the Wet Mountains and surrounding region, Custer and Fremont Counties, south-central Colorado, 2021

Magnetic data collected as part of a high-resolution airborne magnetic and radiometric survey over the region surrounding the Wet Mountains of southern Colorado, including parts of Custer and Fremont Counties, are provided as digital flight-line and grid files.  Magnetic surveys measure subtle variations in the Earth’s magnetic field and are sensitive to differences in the magnetic properties of rocks from ground level to many kilometers below.  Data for this survey were collected by Sander Geophysics Limited International (SGL) under contract with the USGS.  The survey was flown in June and July of 2021 using a helicopter equipped with a magnetometer mounted in a stinger extending from the nose of the aircraft.  The helicopter pilots followed pre-planned flight paths in a grid-like pattern, with east-west lines spaced 150 meters apart and north-south lines spaced 1,000 meters apart.  A terrain clearance of 80 meters above ground could be realized in areas of low relief, but higher clearances, as much as 200–500 meters, were required over rugged terrain and populated areas for safety reasons.  A total of 17,032 kilometers were flown along the lines, covering a 2,200 square-kilometer irregular area.  SGL performed extensive data processing after completion of flying and delivered the final data and report in February 2022.

Tags: aasg, aeromagnetic-surveying, airborne-geophysical-survey, antelope-creek, arkansas-river, association-of-state-geologists, canon-city, colorado, custer-county, earth-mapping-resources-initiative, earthmri, economic-geology, economy, fremont-county, geology-geophysics-and-geochemistry-science-center, geophysics, geoscientificinformation, geospatial-datasets, gggsc, grape-creek, magnetic-field-earth, mineral-resources, mineral-resources-program, mrp, national-cooperative-geologic-mapping-program, north-hardscrabble-creek, oak-creek, rosita-hills, royal-gorge, sedimentology, sliver-cliff, south-central-colorado, structural-geology, tallahassee-creek, texas-creek, u-s-geological-survey, united-states, united-states-of-america, usa, usgs, usgs-62842420d34e3bef0c9a477f, westcliffe, wet-mountain-valley, wet-mountains
Organization: Department of the Interior
Aerial Imagery from Fixed-wing Aircraft System - Prime Hook National Wildlife Refuge, Delaware: 2021

Aerial imagery was collected by a contractor using a fixed wing aircraft fitted with Post-Processing Kinematic (PPK) GPS, was processed using Structure-from-Motion (SfM) photogrammetry techniques to produce high-resolution orthomosaic images, three-dimensional (3D) point clouds and digital elevation models (DEMs). Surveyed Ground Control Points (GCPs) visible in the imagery are used to supplement the calculated elevation and PPK position data. This dataset, produced by the U.S. Geological Survey (USGS) MD-DE-DC Water Science Center, consists of a point cloud generated from the survey of Prime Hook National Wildlife Refuges in Delaware in order to observe annual changes.
Structure-from-Motion software, Agisoft Metashape, was used to perform processing on low-altitude digital aerial imagery acquired by a contractor utilizing a fixed wing aircraft. The aircraft has been modified with a camera port fitted with a Sony A7R camera and equipped with a custom Post-Processing Kinematic GPS device. The surveys were conducted using temporary targets (black and white, 4-square checkered pattern), and pre-existing points (road markings) distributed throughout the flight operations area as GCPs. 
This dataset was produced using the 4D method of Structure-from-Motion, combining multiple years of images and GCPs into a single project to assist in alignment. Each year's chunk was then checked, cleaned, and exported individually. 
All horizontal data are referenced to the North American Datum of 1983 (NAD83 (2011)) UTM zone 18N, and elevation is referenced to the North American Vertical Datum of 1988 (NAVD88) in meters, GEOID12B.

Tags: coastal-processes, delaware, fowler-beach, geoscientificinformation, geospatial-datasets, imagerybasemapsearthcover, location, prime-hook-national-wildlife-refuge, remote-sensing, topographic-maps, topography, u-s-geological-survey, usgs, usgs-6296239ed34ec53d276ba8f6
Organization: Department of the Interior
Elevation point clouds of the coast of Alaska from Icy Cape to Cape Prince of Wales, 2016

This part of the data release presents georeferenced elevation point clouds spanning the ocean shoreline of Alaska from Icy Cape to Cape Prince of Wales. Aerial images were collected, and data were processed, by Fairbanks Fodar (https://www.fairbanksfodar.com) in Fairbanks, Alaska, for the U.S. Geological Survey. The aerial images, from which the point clouds were derived, were collected in 2016 between August 29 and September 4 and extend from the shoreline to 400-4000 meters inland. The aerial images were collected with precise Global Positioning System (GPS) navigation data from a manned aircraft and were then processed using structure-from-motion (SFM) methods as described in Nolan and others, 2015. The included files contain georeferenced point cloud data in .laz format. The point clouds were converted to .laz format by the USGS. Users are encouraged to use the Tile Index shapefile, which is also available in this data release, to identify elevation point cloud files that are appropriate to a specific area of interest.

Tags: aerial-photography, bathymetry-and-elevation, beach, beach-ridge, cape-beaufort, cape-espenberg, cape-krusenstern, cape-lewis, cape-lisburne, cape-prince-of-wales, cape-sabine, cape-thompson, chukchi-sea, cliff, cmhrp, coast, coastal-and-marine-hazards-and-resources-program, coastal-processes, deering, earth-sciences, geography, geomorphology, geospatial-datasets, icy-cape, image-collections, imagerybasemapsearthcover, kasegaluk-lagoon, kilikralik-point, kivalina, kotzebue, kotzebue-sound, marryat-inlet, oceans, pacific-coastal-and-marine-science-center, pcmsc, physical-habitats-and-geomorphology, point-hope, point-lay, remote-sensing, shishmaref, shore, sitkok-point, state-of-alaska, structure-from-motion, u-s-geological-survey, usgs, usgs-6283d73fd34e3bef0c9a4553, wainwright, wales, wevok
Organization: Department of the Interior
Digital elevation models of the coast of Alaska from Icy Cape to Cape Prince of Wales, 2016

This part of the data release presents digital elevation models (DEMs) spanning the ocean shoreline of Alaska from Icy Cape to Cape Prince of Wales. Aerial images were collected, and data were processed, by Fairbanks Fodar (https://www.fairbanksfodar.com) in Fairbanks, Alaska, for the U.S. Geological Survey. The aerial images, from which the DEMs were created, were collected in 2016 between August 29 and September 4 and extend from the shoreline to 400-4000 meters inland. The aerial images were collected with precise Global Positioning System (GPS) navigation data from a manned aircraft and were then processed into DEMs photogrammetrically using structure-from-motion (SFM) processing methods as described in Nolan and others, 2015. The included files contain single-band, 32-bit, floating point raster data and are available in GeoTIFF format with 20 cm cell size. The DEM rasters were converted to cloud optimized GeoTIFF format by USGS researchers. Due to file size and number limitations, the DEMs have been divided into three groups by geographic location. Users are encouraged to use the Tile Index shapefile, which is also available in this data release, to identify elevation data files that are appropriate to a specific area of interest.

Tags: aerial-photography, bathymetry-and-elevation, beach, beach-ridge, cape-beaufort, cape-espenberg, cape-krusenstern, cape-lewis, cape-lisburne, cape-prince-of-wales, cape-sabine, cape-thompson, chukchi-sea, cliff, cmhrp, coast, coastal-and-marine-hazards-and-resources-program, coastal-processes, deering, digital-elevation-models, earth-sciences, elevation, geography, geomorphology, geospatial-datasets, icy-cape, image-collections, imagerybasemapsearthcover, kasegaluk-lagoon, kilikralik-point, kivalina, kotzebue, kotzebue-sound, marryat-inlet, oceans, pacific-coastal-and-marine-science-center, pcmsc, physical-habitats-and-geomorphology, point-hope, point-lay, remote-sensing, shishmaref, shore, sitkok-point, state-of-alaska, structure-from-motion, u-s-geological-survey, usgs, usgs-6283d2eed34e3bef0c9a4510, wainwright, wales, wevok
Organization: Department of the Interior
Data describing the effects of elastic leg-loop harnesses on adult and juvenile Common Terns

These data describe the affects of elastic leg-loop harnesses on the reproductive success and behavior of adult Common Terns and the growth and behavior of juvenile Common Terns. These data support a USGS authored manuscript.

Tags: behavior, biologging, biota, birds, chesapeake-bay, common-tern, leg-loop-harness, poplar-island, transmitter-effects, usgs-6283bc60d34e3bef0c9a4430
Organization: Department of the Interior
Airborne radiometric survey of the Wet Mountains and surrounding region, Custer and Fremont Counties, south-central Colorado, 2021

Radiometric data collected as part of a high-resolution airborne magnetic and radiometric survey over the region surrounding the Wet Mountains of southern Colorado, including parts of Custer and Fremont Counties, are provided as digital flight-line and grid files.  Radiometric (or gamma-ray) surveys measure naturally occurring low-level radiation and are sensitive to the presence of rocks near the surface that are enriched in uranium, thorium, or potassium.  Data for this survey were collected by Sander Geophysics Limited International (SGL) under contract with the USGS.  The survey was flown in June and July of 2021 using a helicopter equipped with a gamma-ray spectrometer stowed onboard.  The helicopter pilots followed pre-planned flight paths in a grid-like pattern, with east-west lines spaced 150 meters apart and north-south lines spaced 1,000 meters apart.  A terrain clearance of 80 meters above ground could be realized in areas of low relief to maximize detection of gamma-rays, but higher clearances, as much as 200–500 meters, were required over rugged terrain and populated areas for safety reasons.  A total of 17,032 kilometers were flown along the lines, covering a 2,200 square-kilometer irregular area.  SGL performed extensive data processing after completion of flying and delivered the final data and report in February 2022.

Tags: aasg, aeroradiometric-survey, airborne-geophysical-survey, antelope-creek, arkansas-river, association-of-state-geologists, canon-city, colorado, custer-county, earth-mapping-resources-initiative, earthmri, economic-geology, economy, fremont-county, geology-geophysics-and-geochemistry-science-center, geophysics, geoscientificinformation, geospatial-datasets, gggsc, grape-creek, mineral-resources, mineral-resources-program, mrp, national-cooperative-geologic-mapping-program, north-hardscrabble-creek, oak-creek, potassium, rosita-hills, royal-gorge, sedimentology, silver-cliff, south-central-colorado, structural-geology, tallahassee-creek, texas-creek, thorium, u-s-geological-survey, united-states, united-states-of-america, uranium, usa, usgs, usgs-6282c90ed34e3bef0c9a3fe4, westcliffe, wet-mountain-valley, wet-mountains
Organization: Department of the Interior
Permethrin concentrations on sawgrass collected from National Key Deer Refuge in 2015

Sawgrass (Cladium jamaicense) samples were collected from marshes on five different keys (Big Pine, Torch, Ramrod, Cudjoe, and Sugarloaf Keys) within National Key Deer Refuge in January and June of 2015 and analyzed for contamination by the mosquito control insecticide permethrin. Permethrin was detected on 17 of 57 samples collected in January while it was detected on 40 of 56 samples collected in June. The concentrations on samples collected in January (below detection to 16 ng/g ww) were lower than concentrations on samples collected in June (below detection to 57.7 ng/g).

Tags: big-pine-key, biota, butterflies, cudjoe-key, ecology, ecotoxicology, environment, florida, florida-keys, imperiled-species, mosquito-control, national-key-deer-refuge, permethrin, pesticide-and-herbicide-contamination, ramrod-key, sawgrass-marsh, sugarloaf-key, torch-keys, united-states, usgs-6282b5a7d34e3bef0c9a3f4f, wetland-ecosystems
Organization: Department of the Interior
Burned Area Reflectance Classification (BARC) Thematic Burn Severity (ver. 10.0, January 2025)

These data products are preliminary burn severity assessments derived from data obtained from suitable imagery (including Landsat TM, Landsat ETM+, Landsat OLI, Sentinel 2A, and Sentinel 2B). The pre-fire and post-fire subsets included were used to create a differenced Normalized Burn Ratio (dNBR) image. The dNBR image attempts to portray the variation of burn severity within a fire. The severity ratings are influenced by the effects to the canopy.  The severity rating is based upon a composite of the severity to the understory (grass, shrub layers), midstory trees and overstory trees. Because there is often a strong correlation between canopy consumption and soil effects, this algorithm works in many cases for Burned Area Emergency Response (BAER) teams whose objective is a soil burn severity assessment. It is not, however, appropriate in all ecosystems or fires. It is expected that BAER teams will adjust the thresholds to match field observations to produce a soil burn severity. This map layer is a thematic raster image of burn severity classes for all inventoried fires occurring in CONUS. Fires omitted from this mapped inventory are those where suitable satellite imagery was not available, or fires which were not discernable from available imagery.

Tags: baer, burn-severity, burned-area, burned-area-emergency-response, differenced-normalized-burn-ratio, fire-location, imagerybasemapsearthcover, landsat, location, normalized-burn-ratio, sentinel, united-states, us, usgs-628297f5d34e3bef0c9a3e3e, wildfire, wildland-fire
Organization: Department of the Interior
Water-column environmental variables and accompanying discrete CTD measurements collected offshore the U.S. Mid- and South Atlantic (ver. 2.0, July 2022)

Various water column variables, including salinity, dissolved inorganic nutrients, dissolved inorganic carbon, and radio-carbon isotopes were measured in samples collected using a Niskin-bottle rosette at selected depths from deepwater sites offshore the US Mid- and South Atlantic from September 2017 to April 2019. CTD (Conductivity Temperature Depth) data were also collected at each depth that a Niskin-bottle sample was collected and are presented along with the water sample data during the following five cruises: PC1704 (USGS field activity 2017-004-FA) in September 2017, ENG615 (USGS field activity 2018-024-FA) in June 2018, AT41 (USGS field activity 2018-042-FA) in August 2018, BMCC-2018 (USGS field activity 2018-053-FA) in October 2018, and RB1903 (USGS field activity 2019-620-FA) in April 2019.
This data release supersedes version 1.0, published in March 2021 at https://doi.org/10.5066/P9V7ODDR. Versioning details are documented in the accompanying VersionHistory_P9K2GOAL.txt file.

Tags: atlantic-ocean, chemical-oceanography, cmhrp, coastal-and-marine-hazards-and-resources-program, ctd-measurement, environment, geoscientificinformation, marine-chemistry, marine-water-quality, ocean-salinity, ocean-temperature, oceans, pacific-coastal-and-marine-science-center, pcmsc, physical-oceanography, south-atlantic-bight, u-s-geological-survey, usgs, usgs-6281d019d34e3bef0c9a3b12, water-column-features
Organization: Department of the Interior
Orthoimagery of the coast of Alaska from Icy Cape to Cape Prince of Wales, 2016

This part of the data release presents orthoimagery spanning the ocean shoreline of Alaska from Icy Cape to Cape Prince of Wales. Aerial images were collected, and data were processed, by Fairbanks Fodar (https://www.fairbanksfodar.com) in Fairbanks, Alaska, for the U.S. Geological Survey. The aerial images, from which the orthoimages were created, were collected in 2016 between August 29 and September 4 and extend from the shoreline to 400-4000 meters inland. The aerial images were collected with precise Global Positioning System (GPS) navigation data from a manned aircraft and were then processed into orthoimages   photogrammetrically and   using structure-from-motion (SFM) processing methods as described in Nolan and others, 2015. Orthoimages contain 4-band, 8-bit, unsigned raster data and are available in GeoTIFF format with 10, 16, or 20 cm cell sizes, depending on location. The orthoimages were converted to cloud optimized GeoTIFF format by the USGS. Due to file size and number limitations, the orthoimages have been divided into three groups by geographic location. Users are encouraged to use the Tile Index shapefile, which is also available in this data release, to identify orthoimagery files that are appropriate to a specific area of interest.

Tags: aerial-photography, beach, beach-ridge, cape-beaufort, cape-espenberg, cape-krusenstern, cape-lewis, cape-lisburne, cape-prince-of-wales, cape-sabine, cape-thompson, chukchi-sea, cliff, cmhrp, coast, coastal-and-marine-hazards-and-resources-program, coastal-processes, deering, earth-sciences, geography, geomorphology, geospatial-datasets, icy-cape, image-collections, imagerybasemapsearthcover, kasegaluk-lagoon, kilikralik-point, kivalina, kotzebue, kotzebue-sound, marryat-inlet, oceans, pacific-coastal-and-marine-science-center, pcmsc, physical-habitats-and-geomorphology, point-hope, point-lay, remote-sensing, shishmaref, shore, sitkok-point, state-of-alaska, structure-from-motion, u-s-geological-survey, usgs, usgs-62819e47d34e3bef0c9a3b0d, wainwright, wevok
Organization: Department of the Interior
Training dataset for NABat Machine Learning V1.0

Bats play crucial ecological roles and provide valuable ecosystem services, yet many populations face serious threats from various ecological disturbances. The North American Bat Monitoring Program (NABat) aims to assess status and trends of bat populations while developing innovative and community-driven conservation solutions using its unique data and technology infrastructure. To support scalability and transparency in the NABat acoustic data pipeline, we developed a fully-automated machine-learning algorithm. This dataset includes audio files of bat echolocation calls that were considered to develop V1.0 of the NABat machine-learning algorithm, however the test set (i.e., holdout dataset) has been excluded from this release. These recordings were collected by various bat monitoring partners across North America using ultrasonic acoustic recorders for stationary acoustic and mobile acoustic surveys. For more information on how these surveys may be conducted, see Chapters 4 and 5 of “A Plan for the North American Bat Monitoring Program” (https://doi.org/10.2737/SRS-GTR-208). These data were then post-processed by bat monitoring partners to remove noise files (or those that do not contain recognizable bat calls) and apply a species label to each file. There is undoubtedly variation in the steps that monitoring partners take to apply a species label, but the steps documented in “A Guide to Processing Bat Acoustic Data for the North American Bat Monitoring Program” (https://doi.org/10.3133/ofr20181068) include first processing with an automated classifier and then manually reviewing to confirm or downgrade the suggested species label. Once a manual ID label was applied, audio files of bat acoustic recordings were submitted to the NABat database in Waveform Audio File format. From these available files in the NABat database, we considered files from 35 classes (34 species and a noise class). Files for 4 species were excluded due to low sample size (Corynorhinus rafinesquii, N=3; Eumops floridanus, N =3; Lasiurus xanthinus, N = 4; Nyctinomops femorosaccus, N =11). From this pool, files were randomly selected until files for each species/grid cell combination were exhausted or the number of recordings reach 1250. The dataset was then randomly split into training, validation, and test sets (i.e., holdout dataset). This data release includes all files considered for training and validation, including files that had been excluded from model development and testing due to low sample size for a given species or because the threshold for species/grid cell combinations had been met. The test set (i.e., holdout dataset) is not included. Audio files are grouped by species, as indicated by the four-letter species code in the name of each folder. Definitions for each four-letter code, including Family, Genus, Species, and Common name, are also included as a dataset in this release.

Tags: bats, bioacoustics, biota, echolocation, machine-learning, ultrasonic-recording, usgs-627ed4b2d34e3bef0c9a2f30
Organization: Department of the Interior
POPMAPS: An R package to estimate ancestry probability surfaces

This software code was developed to estimate the probability that individuals found at a geographic location will belong to the same genetic cluster as individuals at the nearest empirical sampling location for which ancestry is known. POPMAPS includes 5 main functions to calculate and visualize these results (see Table 1 for functions and arguments). Population assignment coefficients and a raster surface must be estimated prior to using POPMAPS functions (see Fig. 1a and b). With these data in hand, users can run a jackknife function to choose an optimal parameter combination that reconstructs empirical data best (Figs. 2 and S2). Pertinent parameters  include 1) how many empirical sampling localities should be used to estimate ancestry coefficients and 2) what is the influence of empirical sites on ancestry coefficient estimation as distance increases (Fig. 2). After choosing these parameters, a user can estimate the entire ancestry probability surface (Fig. 1c and d, Fig. 3).
	  
	  This package can be used to estimate ancestry coefficients from empirical genetic data across a user-defined geospatial layer. Estimated ancestry coefficients are used to calculate ancestry probabilities, which together with 'hard population boundaries,' compose an ancestry probability surface. Within a hard boundary, the ancestry probability informs a user of the confidence that they can have of genetic identity matching the principal population if they were to find individuals of the focal organism at a location. Confidence can be modified across the ancestry probability surface by changing parameters influencing the contribution of empirical data to the estimation of ancestry coefficients. This information may be valuable to inform decision-making for organisms having management needs.
	  
	  See 'Related External Resources, Type: Source Code' below for direct access to the POPMAPS R software package.
	  

Tags: biogeography, biota, demographics, environmental-gradients, evolution, genetic-diversity, native-plant-materials-development, native-species, phylogeny, phylogeography, restoration, seed-transfer-guidelines, usgs-627e7b24d34e3bef0c9a2cc2
Organization: Department of the Interior