AndreaBozzo/ceres-open-data-index huggingface dataset:
Argos and GPS Satellite Tracking Data for Three Large-Bodied Gull Species and Hybrids (Larus spp.) - Processed Data

This metadata document describes the data contained in the "Argos GPS Processed Data" (Child Item 1) of this data release. This data release contains all data collected by the Argos System from 6 satellite transmitters attached to Glaucous-winged gulls on Middleton Island and 42 Argos-linked GPS satellite transmitters attached to three species of large-bodied gulls (genus Larus) and hybrids thereof, captured at landfills in southcentral, western and northern Alaska. The transmitters carried GPS receivers, so GPS tracking data represent the backbone of this data release. However, because the GPS locations were communicated through the Argos System, a time series of Argos (Doppler) tracking data also exists and is included. Four Comma Separate Value (CSV) tables are included in the "Argos GPS Processed Data" (Child Item 1) of this data release: 1) the "GPS_filteredLocations" table contains one record for every GPS location obtained, accompanied by a binary flag that denotes an algorithm's plausibility check (based on a speed threshold of 35 m/s); 2) the "diag_filteredLocations" table contains one record for every Argos location estimate collected, accompanied by a binary flag that denotes an algorithm's plausibility check (based on distance, turning angle, and rate thresholds). Each record in both the GPS and Argos filtered-location tables also includes a 'Tracking_Status' variable that denotes whether the location was collected from a live animal, a dead animal, or shed transmitter, 3) the "decodedSensor" table contains decoded sensor data such as the transmitter's temperature, battery voltage, and motion (activity), and 4) the "deploymentAttributes" table contains one record for each transmitter deployment in a CSV formatted table. The deployment attributes file contains information such as when the transmitter was attached to the animal, when tracking of a live animal ended, and a variety of variables describing the animal and transmitter. This table is identical to the "deploymentAttributes" table in the "Argos GPS Raw Data" (Child Item 2) of this data release.

Tags: alaska, american-herring-gull, animal-tracking, animals-vertebrates, argos, bering-strait, bethel, biota, birds, breeding-sites, capture-recapture-studies, chukotka, coastal-ecosystems, east-asia-flyway, environment, glaucous-gull, glaucous-winged-gull, gps, health-and-disease, kenai-peninsula, larus-argentatus, larus-glaucescens, larus-hyperboreus, marine-ecosystems, migratory-birds, migratory-rates-routes, migratory-species, nome, north-slope, ornithology, overwintering, pacific-americas-flyway, platform-transmitter-terminal, plumage, ptt, russia, satellite-transmitter, seasonal-distribution, seasonal-movement, soldotna, species-life-history, tagging-devices, telemetry, tracking-equipment, usgs-asc275, utqiagvik, utqiavik, waders-gulls-auks-and-allies, wildlife, yukon-delta
Organization: Department of the Interior
Chimney Bluffs camera locations and attitudes for low-altitude aerial images collected during unmanned aerial systems (UAS) flights over of the Lake Ontario shoreline in the vicinity of Chimney Bluffs, New York in July 2017

Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), in three locations along the Lake Ontario shoreline in New York during July 2017. These data were collected to document and monitor effects of high lake levels, including shoreline erosion, inundation, and property damage in the vicinity of Chimney Bluffs State Park, New York. This data release includes images tagged with locations determined from the UAS GPS; tables with updated estimates of camera positions and attitudes based on the photogrammetric reconstruction; tables listing locations of the base stations, ground control points, and transect points; geolocated, RGB-colored point clouds; orthomosaic images; and digital elevation models for each of the survey regions. Collection of these data was supported by the Federal Emergency Management Agency, the State of New York Departments of State and Environmental Conservation, and the USGS Coastal and Marine Geology Program and was conducted under USGS field activity number 2017-042-FA.
    

Tags: 3dr-solo-quadcopter, aerial-imagery, aerial-photography, agisoft-photoscan, camera-locations, chimney-bluffs, chimney-bluffs-state-park, cmgp, coastal-and-marine-geology-program, elevation, federal-emergency-management-agency, fema, field-activity-number-2017-042-fa, geoscientificinformation, global-positioning-system, gps, great-lakes, huron-ny, inlandwaters, lake-ontario, lakeshore, location, low-altitude-aerial-imagery, navigation, navigational-data, new-york, new-york-state-department-of-environmental-conservation, photographs, photos, remote-sensing, ricoh-grii, shoreline-photographs, state-of-new-york-department-of-state, u-s-geological-survey, uas, unmanned-aerial-system, usa, usgs, usgs-5b28587ae4b0592076260e42, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Argos and GPS Satellite Tracking Data for Three Large-Bodied Gull Species and Hybrids (Larus spp.) - Raw Data

This metadata document describes the data contained in the "Argos GPS Raw Data" (Child Item 2) of this data release. This data release contains all data collected by the Argos System from 6 satellite transmitters attached to Glaucous-winged gulls on Middleton Island and 42 Argos-linked GPS satellite transmitters attached to three species of large-bodied gulls (genus Larus) and hybrids thereof, captured at landfills in southcentral, western and northern Alaska. The transmitters carried GPS receivers, so GPS tracking data represent the backbone of this data release. However, because the GPS locations were communicated through the Argos System, a time series of Argos (Doppler) tracking data also exists and is included. Five data files are included in the "Argos GPS Raw Data" (Child Item 2) of this data release. Two data files (with identical content) contain the raw Argos DIAG (Diagnostic) data, one in the legacy verbose ASCII format and one in a tabular Comma Separate Value (CSV) format. Two other data files (with identical content) contain the raw Argos DS (Dispose) data, one in the legacy verbose ASCII format and one in a tabular CSV format. The fifth file, "deploymentAttributes", contains one record for each transmitter deployment in a CSV formatted table. The deployment attributes file contains information such as when the transmitter was attached to the animal, when tracking of a live animal ended, and a variety of variables describing the animal and transmitter. This table is identical to the "deploymentAttributes" table in the "Argos GPS Processed Data" (Child Item 1) of this data release.

Tags: alaska, american-herring-gull, animal-tracking, animals-vertebrates, argos, bering-strait, bethel, biota, birds, breeding-sites, capture-recapture-studies, chukotka, coastal-ecosystems, east-asia-flyway, environment, glaucous-gull, glaucous-winged-gull, gps, health-and-disease, kenai-peninsula, larus-argentatus, larus-glaucescens, larus-hyperboreus, marine-ecosystems, migratory-birds, migratory-rates-routes, migratory-species, nome, north-slope, ornithology, overwintering, pacific-americas-flyway, platform-transmitter-terminal, plumage, ptt, russia, satellite-transmitter, seasonal-distribution, seasonal-movement, soldotna, species-life-history, tagging-devices, telemetry, tracking-equipment, usgs-asc276, utqiagvik, utqiavik, waders-gulls-auks-and-allies, wildlife, yukon-delta
Organization: Department of the Interior
SIR2016-5029_cfwgoshor_6b: Flood Inundation Depth for a Flow of 39,900 at the Gage Coast Fork Willamette River at Goshen, Oregon (Area of Uncertainty)

The domain of the model is as follows: Row River from Dorena dam to the confluence with the Coast Fork; 
Coast Fork from Cottage Grove dam to the confluence with the Middle Fork; Silk Creek from River Mile 1.7 
to the confluence with the Coast Fork. The basis for these features is the Willamette Flood Insurance Study – 
Phase One (2013). The hydraulics and hydrology for the FIS were reused in the production of these polygons; 
the reports and information associated with the FIS are applicable to this product. The Digital Elevation Model 
(DEM) utilized for the Willamette FIS submittal was produced by combining multiple overlapping topographic 
surveys for the Middle Fork and Coast Fork of the Willamette River. This DEM was created from four sources: 
LiDAR of the Springfield area that was flown in 2008, LiDAR of Silk Creek that was flown in 2011, LiDAR of Fall 
Creek that was flown in 2012, and photogrammetry of the Middle Fork and Coast Fork of the Willamette River 
that was flown in 2004. In areas where no high-resolution elevation data were available, USGS National Elevation 
Dataset (NED) data were used to supplement the DEM. The shapefiles Hi_Res_Extents.shp and Low_Res_Extents.shp 
define the limits of these areas. The horizontal datum of the DEM is NAD 1983 State Plane-Oregon South HARN 
with units of International Feet (NAD83). The vertical datum of the elevation model is NAVD 1988 with units of 
international feet (NAVD-88). In addition, some areas show surveyed bathymetry within the channel. These can 
be noted by the sharp increase in apparent depth, creating a stripe across the depth grid when compared to the 
LiDAR data, which represents the water surface elevation at the time of the aerial data collection. Bridge decks 
are generally removed from DEMs as standard practice. Therefore, these features may be shown as inundated 
when they are not. An effort to clip flood extents on bridge decks was made, but judgement should be used when 
estimating the usefulness of a bridge during flood flow. Comparing the bridge to the surrounding ground can be 
more informative in this respect than simply looking at the bridge itself. The features and depth grids stop as the 
Coast Fork approaches the Middle Fork on the northern end of the reach.See cfwgoshOR_breach.shp for information 
regarding this file. This represents the depth grid for the 39,900 profile.

Tags: coast-fork-willamette-river, creswell, elevation, environment, flood, flood-inundation-maps, flooded-area, geoscientificinformation, geospatial-analysis, goshen, high-water-marks, inlandwaters, oregon, river-stream, usgs-16a84f39-0235-4596-b5ce-13adebd19df3, willamette-valley
Organization: Department of the Interior
Stable isotope signatures from green turtles and hawksbills at Buck Island Reef National Monument, U.S. Virgin Islands from 2012-2019

We used stable isotope analysis of nitrogen and carbon turtle epidermal samples to describe the trophic niche of the sampled sea turtle population by portraying δC as a habitat structure variable against δN as a resource gradient axis. We examined isotopic data for hawksbills (n = 64) and green turtles (n = 241) hand-captured across an 8-year time frame (2011-2019) to assess interspecific competition. We use statistical analysis to identify ontogenetic shifts associated with changes in trophic feeding to postulate changes to resource use. Our results indicate that stable environmental conditions around Buck Island Reef National Monument (BIRNM) allow for different trophic strategies across the two species with significantly overlapping foraging niches. Our metrics can further be used to measure change in local conditions and populations, or to make global comparisons of trophic niche for each species.

Tags: biota, buck-island-reef-national-monument, hawskbill-green-turtle-stable-isotope-analysis-ontogenetic-shift-st-croix, reptiles, st-croix, u-s-virgin-islands, usgs-62c85d49d34eeb1417bb18d7
Organization: Department of the Interior
MatLa

The dataset folder entitled “MatLa” holds data structures consisting of statistical predictions of daily salinity time series for the Matagorda-Lavaca Bay (MatLa) group, generated from the makESTUSAL software repository described by Asquith and others (2023b). The statistical methods included multiple methods of machine learning, which produced the daily salinity prediction and attendant credible uncertainties included in the data release. The geographic scope of the MatLa group includes the predictions for seven locations defined using agency code and salinity site abbreviations.

Tags: estuary, gulf-of-mexico, matagorda-lavaca-bay, modeling, salinity, usgs-65bc053fd34e18c6baf2efa3
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Southern California v3.0 Phase 2 ocean-currents projections: average conditions in Orange County

Model-derived ocean current velocities (in meters per second) for the given storm condition and sea-level rise (SLR) scenario.
The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings.
Model details and data sources are outlined in CoSMoS_3.0_Phase_2_Southern_California_Bight:_Summary_of_data_and_methods (available at https://www.sciencebase.gov/catalog/file/get/57f1d4f3e4b0bc0bebfee139?name=CoSMoS_SoCalv3_Phase2_summary_of_methods.pdf). Phase 2 data for Southern California include flood-hazard information for the coast from the border of Mexico to Pt. Conception. Several changes from Phase 1 projections are reflected in many areas; please read the Summary of methods and inspect output carefully.  Data are complete for the information presented.

Tags: beaches, climate-change, climatologymeteorologyatmosphere, coastal-erosion, erosion, extreme-weather, floods, hazards-planning, ocean-waves, ocean-winds, oceans, orange-county, physical-habitats-and-geomorphology, sea-level-change, sea-level-rise, southern-california, southern-california-bight, state-of-california, storm-surge, storms, usgs-5953f804e4b062508e3c7c79, water-depth, waves, wind
Organization: Department of the Interior
Point Shapefile indicating John Day Reservoir bottom photographs locations - 2000

A two-week field operation was conducted in the John Day Reservoir on the Columbia River to image the floor of the pool, to measure the distribution and thickness of post-impoundment sediment, and to verify these geophysical data with video photography and bottom sediment samples. The field program was a cooperative effort between the USGS Coastal and Marine Geology Team of the Geologic Division and the USGS Columbia River Research Laboratory of the Biological Resources Division. The data collection was completed aboard the R/V ESTERO during September 13-27, 2000.
The interest in sediment accumulation in the reservoir was two-fold. First, it was unknown how effective this reservoir was as a sediment trap to material that otherwise would have been transported down-river to the estuary and eventually to the ocean. The recent erosion of beaches along the Washington coast has been attributed to a decreased contribution of sediment from the Columbia River to the coastal system due to the damming of the river. Second, sediment accumulation on the floors of reservoirs along the Columbia River has been suggested to be diminishing salmon spawning grounds. The extent of changes in habitat since construction of the John Day Dam, however, had not been documented. Common data sets were needed to address both of these questions, and for these reasons this geophysical and sampling program was undertaken.

Tags: arcview, cmgp, coastal-and-marine-geology-program, columbia-river, geospatial-datasets, grab-sample, images, john-day-dam, john-day-reservoir, lake, lake-umatilla, mcnary-dam, navigational-data, north-america, of-2004-1014, open-file-report, oregon, point, sediment, sediment-sample, shapefile, u-s-geological-survey, underwater-photography, united-states, usgs, usgs-d856b134-f7a0-4868-96d9-2d535cb0a60a, washington, woods-hole-science-center
Organization: Department of the Interior
Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P7 from 1985

Orthorectified image from aerial photograph of wetland P7 in the Cottonwood Lake Study Area, Stutsman County, North Dakota. This image is part of a collection of photographs of the study area acquired during July and early August from 1975 to 2015.

Tags: aerial-photography, chase-lake-wetland-management-districtgtstutsman-county-waterfowl-production-areagteddy, chase-lake-wetland-management-districtgtstutsman-county-waterfowl-production-areagtshuler, cottonwood-lake-study-area, earth-sciencegtbiospheregtecosystemsgtaquatic-ecosystemsgtwetlands, earth-sciencegtbiospheregtecosystemsgtterrestrial-ecosystemsgtwetlands, environment, image-collections, imagerybasemapsearthcover, inlandwaters, north-dakota, northern-great-plains, platformgtaerial-photographs, prairie-pothole-region, stutsman-county, surface-water-non-marine, united-states-of-america, usgs-58740437e4b0a829a320ba40, wetland-ecosystems
Organization: Department of the Interior
Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T4 from 2002

Orthorectified image from aerial photograph of wetland T4 in the Cottonwood Lake Study Area, Stutsman County, North Dakota. This image is part of a collection of photographs of the study area acquired during July and early August from 1975 to 2015.

Tags: aerial-photography, chase-lake-wetland-management-districtgtstutsman-county-waterfowl-production-areagteddy, chase-lake-wetland-management-districtgtstutsman-county-waterfowl-production-areagtshuler, cottonwood-lake-study-area, earth-sciencegtbiospheregtecosystemsgtaquatic-ecosystemsgtwetlands, earth-sciencegtbiospheregtecosystemsgtterrestrial-ecosystemsgtwetlands, environment, image-collections, imagerybasemapsearthcover, inlandwaters, north-dakota, northern-great-plains, platformgtaerial-photographs, prairie-pothole-region, stutsman-county, surface-water-non-marine, united-states-of-america, usgs-5889059be4b05ccb964c3f0c, wetland-ecosystems
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2005, 2008, 2012, 2016, 2018, and 2021 Site 0294 land-water matrix

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring to determine the efficacy of these projects. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 390 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. This dataset consists of a matrix of six land-water products (2005, 2008, 2012, 2016, 2018, and 2021).  The resulting matrix has 64 possible classes defined by the combination of land and water categories on those six dates.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-65414f95d34ee4b6e05bce27, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Undersized Fire Mapping Program Thematic Burn Severity Mosaic for CONUS in 1995

This map layer is a thematic raster image of MTBS burn severity classes for all inventoried fires occurring in CONUS during calendar year 1995 that do not meet standard MTBS size criteria. These data are published to augment the data that are available from the MTBS program. This product was produced using the methods of the Monitoring Trends in Burn Severity Program (MTBS), however these fires do not meet the size criteria for a standard MTBS assessment. The MTBS Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. MTBS typically maps fires using an initial assessment (immediately after the fire) or an extended assessment (peak of green the season after the fire) for low-biomass and high-biomass fires respectively. Refer to MTBS.gov for more information on MTBS methods and criteria. Standard MTBS mappings must meet the size criteria of at least 500 acres for the eastern states and territories and 1,000 acres for the western states and territories to be eligible for mapping. Undersized MTBS fires are those fires that do not meet the standard MTBS size criteria but are otherwise mapped using standard MTBS methodologies.

Tags: ak, alaska, burn-severity, burned-area, continental-u-s, conus, differenced-normalized-burn-ratio, fire-location, fire-occurrence, hawaii, hi, imagerybasemapsearthcover, landsat, location, normalized-burn-ratio, pr, prescribed-fire, puerto-rico, sentinel, united-states, us, usgs-66c742d2d34e0338828b3f2f, wildfire, wildland-fire
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2021 Site 2627 land-water classification data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 398 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2021 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Five previous assessments have been conducted (2005, 2008, 2012, 2015/2016, and 2018). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-64dce271d34e5f6cd552805a, wetland, wetland-restoration
Organization: Department of the Interior