AndreaBozzo/ceres-open-data-index huggingface dataset:
Coastwide Reference Monitoring System (CRMS) 2021 Site 0543 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-6569e549d34e6dde1a4ae0d6, wetland, wetland-restoration
Organization: Department of the Interior
CACO2002_EAARLA_BE_z19_n88g12B_mosaic_metadata: EAARL Coastal Topography--Cape Cod National Seashore, Massachusetts, 2002: Bare Earth

A bare-earth topography Digital Elevation Model (DEM) mosaic for the Cape Cod National Seashore was produced from remotely sensed, geographically referenced elevation measurements acquired cooperatively by the U.S. Geological Survey (USGS) and the National Park Service (NPS). Elevation measurements were collected over Cape Cod National Seashore using the first-generation National Aeronautics and Space Administration (NASA) Experimental Advanced Airborne Research Lidar (EAARL), a pulsed laser ranging system mounted onboard an aircraft to measure ground elevation, vegetation canopy, and coastal topography. The system uses high-frequency laser beams directed at the Earth's surface through an opening in the bottom of the aircraft's fuselage. The laser system records the time difference between emission of the laser beam and the reception of the reflected laser signal in the aircraft. The plane travels over the target area at approximately 60 meters per second at an elevation of approximately 300 meters, resulting in a laser swath of approximately 240 meters with an average point spacing of 2-3 meters. The EAARL, developed originally by NASA at Wallops Flight Facility in Virginia, measures ground elevation with a vertical resolution of 3 centimeters. A sampling rate of 3 kilohertz or higher results in an extremely dense spatial elevation dataset. Over 100 kilometers of coastline can be surveyed easily within a 3- to 4-hour mission. When resultant elevation maps for an area are analyzed, they provide a useful tool to make management decisions regarding land development.

Tags: airborne-lidar-processing-system, alps, atlantic-ocean, cape-cod, coastal-processes, dem, digital-elevation-model, doi-usgs-cmg-gt-coastal-and-marine-geology-u-s-geological-survey-u-s-department-of-interior, eaarl, elevation, experimental-advanced-airborne-research-lidar, geomorphology, land-surface-gt-topography-gt-terrain-elevation, laser-altimetry, lidar, lidar-gt-light-detection-and-ranging, massachusetts, new-england, ocean-gt-coastal-processes-gt-barrier-islands, ocean-gt-coastal-processes-gt-beaches, ocean-gt-coastal-processes-gt-shoreline-displacement, remote-sensing, topography, usgs-f7d95523-bc09-480b-896b-06ee784e4a8f, usgs-national-assessment-project
Organization: Department of the Interior
Stream channel sediment samples locations - Sediment core and sample locations and depth of water from the surface and maximum sample depth at each location for Center Creek, Turkey Creek, Shoal Creek, Tar Creek, and Spring River in the Tri-State Mining District, 2011-12

Sediment core and sample locations and depth of water from the surface and maximum sample depth at each location for Center Creek, Turkey Creek, Shoal Creek, Tar Creek, and Spring River in the Tri-State Mining District, 2011-12. All coordinates are referenced in the Geographic coordinate system, North American Datum 1983.  
Table Contents: Core_identifier, Site_identifier, Name, Latitude, Longitude, Date, Time, Feature, Depth_w, and Max_depth which are explained further in the referenced data dictionary.

Tags: cherokee-county-kansas, jasper-county-missouri, mine-waste-lead-and-zinc-mining, newton-county-missouri, ottawa-county-oklahoma, usgs-58062b13e4b0824b2d1d3d42
Organization: Department of the Interior
Model archive for simulation of infiltration and runoff generation for 2013, 2015, and 2017 in the area affected by the 2013 Black Forest Fire, Colorado USA

Wildfire can impact soil-physical and soil-hydraulic properties, with major implications for hydrologic and ecologic response. The durations of these soil impacts are poorly characterized for some forested environments. This dataset sheds light on the first four years of recovery of soil-physical properties of bulk density, loss on ignition (measure of soil organic matter), ground cover, and soil particle size distribution and of soil-hydraulic properties of sorptivity and field-saturated hydraulic conductivity. The dataset also includes a simple infiltration model used to examine infiltration as the sites recover from fire.
Sample locations within the 2013 Black Forest Fire study area are:
BF1, UTM-Easting (m) 532027, UTM-Northing (m) 4323210, Approximate elevation (± 5m) 2288;
BF2, UTM-Easting (m) 532139, UTM-Northing (m) 4323273, Approximate elevation (± 5m) 2288;
BF3, UTM-Easting (m) 532015, UTM-Northing (m) 4323416, Approximate elevation (± 5m) 2285;
BF4, UTM-Easting (m) 532166, UTM-Northing (m) 4323576, Approximate elevation (± 5m) 2292;
BF5, UTM-Easting (m) 532370, UTM-Northing (m) 4323194, Approximate elevation (± 5m) 2293;
BF6, UTM-Easting (m) 532712, UTM-Northing (m) 4323283, Approximate elevation (± 5m) 2300;
UTM is Universal Transverse Mercator, Zone 13, NAD83 datum, GRS80 geodetic reference system.

Tags: biota, usgs-60d14f66d34e86b938ab80fd, wildfire-colorado-wildland-fire-soil-properties-soil-hydraulic-properties
Organization: Department of the Interior
Oregon Mule Deer Deschutes Winter Ranges

The Deschutes mule deer herd winters near Deep Canyon, the Deschutes River, and U.S. Highway 20 in areas dominated by western juniper, ponderosa pine, and big sagebrush. In spring, mule deer migrate southwest to summer ranges near Wickiup Reservoir, Mount Bachelor, and Oregon Route 242. These summer ranges are covered by mixed-conifer forests including ponderosa pine, Abies amabilis (pacific silver fir), Tsuga mertensiana (mountain hemlock), and lodgepole pine. Winter ranges are frequented by small wildfires, which help improve habitat quality by reducing canopy cover, thereby promoting the growth of palatable shrubs and forbs. Most of this region is forested with some scattered patches of sagebrush-steppe. Mule deer tend to migrate along the wide, steep-sloped Deschutes River rather than attempting to cross, creating a high-use corridor where multiple migratory paths overlap on the western side of the Deschutes River.
In addition to western juniper encroachment, Deschutes mule deer are also affected by anthropogenic disturbance. Multiple mule deer traverse or have seasonal ranges adjacent to a 32-mi (51-km) stretch of U.S. Highway 20, which recorded 155 DVCs (all local deer species) on average each year between 2010 and 2022 (ODOT, 2023). Several mule deer winter ranges also overlap agricultural land in low-elevation areas where hay, grain, chickpeas, and grass seed are economically important crops.
These mapping layers show the location of the winter ranges for mule deer (Odocoileus hemionus) in the Deschutes population in Oregon. They were developed from 37 winter sequences collected from a sample size of 17 animals comprising GPS locations collected every 2-5 hours.

Tags: animal-behavior, biota, migration-organisms, migratory-species, oregon, tumalo, united-states, usgs-679176fcd34ea6a4002bfaca
Organization: Department of the Interior
Wind rose plots for the volcano: 352010  Reventador

This zip folder contains ASCII text files of vectors at the specified volcano at 
12-hour intervals, 
from January 1, 1990 through December 28, 2009.  
The wind vectors are divided into five files, names by their elevation range above 
sea level in the atmosphere: 00-05km.txt; 05-11km.txt; 11-16km.txt; 16-24km.txt; 
and 24-30km.txt. 
The zip folder also contains a subfolder "figures", with Wind rose plots of wind 
direction and speed over 
this time period.  The plots are by season, and by elevation, given a total of 20 
plots (4 seasons, 5 
elevation ranges).  A summary plot is also included which gives the year-round 
wind pattern at the volcano, 
at 0-5 km elevation.  Plots are in both jpg and pdf format.

Tags: meteorology, usgs-58d01742e4b0236b68f531c2, volcanic-ash, volcanic-eruption-forecasting, wind
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2005, 2008, 2012, and 2015 Site 0661 Land-Water Matrix

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 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 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 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 four land-water products (2005, 2008, 2012, and 2015).  The resulting matrix has 16 possible classes defined by the combination of land and water categories on those four dates.

Tags: cartography, coastal, crms, doqq, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, state-of-louisiana, usgs-5938774be4b0764e6c5d6caf, wetland
Organization: Department of the Interior
Characteristics of Sites Sampled for eDNA of Amphibians in Mendocino County, California, 2016

Stream-obligate amphibians are important indicators of ecosystem health in the Pacific Northwest, but distributional information to improve forest management is lacking in many regions. We analyzed archived DNA extracted from water samples in 60 pools within streams in private timberlands in Mendocino County, California, for 3 California Species of Special Concern - Coastal Tailed Frogs (Ascaphus truei), Foothill Yellow-legged Frogs (Rana boylii), and Southern Torrent Salamanders (Rhyacotriton variegatus)- to better understand their distributions in the region.

Tags: amphibians, biota, california, environmental-dna, mendocino, stream, usgs-5e86470082cee42d133fa6c9, usgs-ema-low-sb-smc-amphibians-armi
Organization: Department of the Interior
Flood inundation map geospatial datasets for Lake Ontario, New York

Static flood inundation boundary extents were created along the entire shoreline of Lake Ontario in Cayuga, Jefferson, Monroe, Niagara, Orleans, Oswego, and Wayne Counties in New York by using recently acquired (2007, 2010, 2014, and 2017) light detection and ranging (lidar) data. 
The flood inundation maps, accessible through the USGS Flood Inundation Mapping Program website at https://www.usgs.gov/mission-areas/water-resources/science/flood-inundation-mapping-fim-program, depict estimates of the areal extent and water depth of shoreline flooding in 8 segments corresponding to adjacent water-surface elevations (stages) at 8 USGS lake gages on Lake Ontario. 
This item includes data sets for segment A - Lake Ontario (Thirtymile point) at Golden Hill State Park, NY (station number 04219796).
These datasets demonstrate the estimated extent and depth of lake flooding at specific water levels of 1-foot increments from 247.0 ft to 251.0 ft (International Great Lakes Datum of 1985). In this study, wind and seiche effects were not represented; therefore, the flood inundation maps reflect five stages for Lake Ontario that are static for the entire shoreline area of the lake.
In this study, wind and seiche effects were not represented; therefore, the flood-inundation maps reflect five stages for Lake Ontario that are static for the entire shoreline area of the lake.
This item is a package of flood inundation data for segment A - Lake Ontario (Thirtymile point) at Golden Hill State Park, NY (station number 04219796) including:
1) 1 shapefile showing 5 estimated flood extents as polygons,
2) 5 raster datasets showing the depth of the water at 5 flood stages,
3) 1 shapefile showing the study limit extent of segment A, and
4) a metadata file.
The polygon flood extent shapefiles were developed from digital elevation models (DEMs) derived from the lidar to represent the estimated areal extent for five flood stages for segment A. 
The raster files depict the depth, in feet (referenced to the International Great Lakes Datum of 1985), of the water in the inundated areas along the shoreline of Lake Ontario during the five theoretical flood stages. 
The depth grids were created by subtracting the digital elevation model (DEM) values (in feet) from each of five raster files representing the flood extent at each constant water level (in feet). An approximately 100-meter buffer was used as the extent into the lake.

Tags: flood, flood-inundation-maps, flooded-areas, flooding, lake-ontario, new-york, niagara-county-ny, orleans-county-ny, usgs-60426ee5d34eb1203119c9cb, water-depth
Organization: Department of the Interior
Imagery and meteorological data from April 2021 to December 2021, Grand Falls Dune Field, Arizona

Grand Falls dune field (GFDF) is located on the Navajo Nation, ~70 km NE of Flagstaff, AZ. This active dune field displays a range of morphologies, including barchans, smaller dunes, and ripples, and is bimodal in composition. The felsic component is likely derived from the Little Colorado River, and the mafic component (basaltic grains) is locally sourced from nearby cinder cones [1]. GFDF is an excellent analog site for both active dunes on Mars and other planetary bodies that have dune-like features (e.g., Venus and Titan). 
We have set up a meteorological station within the dune field that records temperature, barometric pressure, relative humidity, wind direction, wind speed, solar radiation, and precipitation every 15 minutes during the windy season and every hour during the calmer months. 
Nine BlazeVideo cameras have been set up surrounding an active ripple field and the meteorological station. Images are taken at a set time to record sand movement. Data presented here span from April 22, 2021 to December 7, 2021. 
[1] Hayward, R. K. et al. (2010) 2nd Int. Plan. Dunes Wrkshp., Abstract #2004.

Tags: arizona, atmospheric-and-climatic-processes, atmospheric-properties, climatologymeteorologyatmosphere, dunes, field-inventory-and-monitoring, geoscientificinformation, grand-falls, navajo-indian-reservation, usgs-62fe722bd34e3a444287516a
Organization: Department of the Interior
Raster Seasonal Precipitation Data for for Alaska and Northwest Canada 1901-2100

Annual summer, early winter, and total winter seasonal precipitation metrics, in millimeters,  for Alaska and Northwest Canada. Seasonal metrics were calculated from monthly data with season lengths calculated from the piecewise cubic hermite interpolating polynomial calculated from monthly temperature data used to calculate our degree-day dataset. Input monthly data from the Scenarios Network for Alaska + Arctic Planing, consisting of downscaled CRU TS 4.0 historic estimates of monthly temperature were used for the period from 1901-2020, and downscaled CMIP5/AR5 projected estimates of monthly temperature were used from the period from 2006-2100. Summer precipitation and early winter precipitation were calculated from 1901-2100, and full winter precipitation from 1901-2099.

Tags: alaska, climate, climate-change, climatologymeteorologyatmosphere, environment, geoscientificinformation, geospatial-datasets, permafrost, thermokarst, usgs-677d4361d34e480c9507f9ad, yukon-territory
Organization: Department of the Interior
Land Change Monitoring, Assessment, and Projection (LCMAP) Version 1.0 Annual Land Cover and Land Cover Change Validation Tables

A validation assessment of Land Cover Monitoring, Assessment, and Projection (LCMAP) Collection 1 annual land cover products (1985–2017) for the Conterminous United States was conducted with an independently collected reference data set. Reference data land cover attributes were assigned by trained interpreters for each year of the time series (1984–2018) to a reference sample of 24,971 Landsat resolution (30m x 30m) pixels. These pixels were  randomly selected from a sample frame of all pixels in the Landsat Analysis Ready Data (ARD) grid system which fell within the map area (Dwyer et al., 2018). Interpretation used the TimeSync reference data collection tool which visualizes Landsat images and Landsat data values for all usable images in the time series (1984–2018) (Cohen et al., 2010). Interpreters also referred to air photos and high resolution images available in Google Earth as well as several ancillary data layers. The interpreted land cover attributes were crosswalked to the LCMAP annual land cover classes: Developed, Cropland, Grass/Shrub, Tree Cover, Wetland, Water, Ice/Snow and Barren.
Validation analysis directly compared reference labels with annual LCMAP land cover map attributes by cross tabulation.  The results of that assessment are reported here as confusion matrices for land cover agreement and land cover change agreement. The standard errors have been calculated using post-stratified estimation (Card, 1982). Land cover class proportions were also estimated from the reference data for each year, 1985–2017, using post-stratified estimation. A cluster sampling formulation (Stehman, 1997) was used to calculate standard sampling error for summary tables reporting results for multiple years of data comparison.  Overall CONUS land cover agreement across all years was found to be 82.5%.  Annual and regional accuracies are also reported.

Tags: accuracy-assessment, biota, land-change-monitoring-assessment-and-projection, land-use-and-land-cover, land-use-change, landsat, lcmap, time-series-datasets, usgs-5e53e574e4b0ff554f753000, validation
Organization: Department of the Interior
Regional scale magnetotelluric data from the Rio Grande Rift and southern Rocky Mountains, Station rgr503

This dataset consists of 102 magnetotelluric (MT) stations collected in 2012-2014 in the Rio Grande Rift and southern Rocky Mountains. The U.S. Geological Survey acquired these data to improve regional conductivity models of the western United States. This work is in support of studies of the effect of lithospheric modification on electrical resistivity structure and tectonic evolution of the western United States.

Tags: apparent-resistivity, basin-and-range, electromagnetic-surveying, geology-geophysics-and-geochemistry-science-center, geophysics, geoscientificinformation, gggsc, impedance, magnetic-field-earth, magnetotelluric, mineral-resources-program, mrp, mt, new-mexico, phase, regional-conductivity-models, rio-grande-rift, time-series, tipper, usgs-5ada26cfe4b0e2c2dd297765
Organization: Department of the Interior