AndreaBozzo/ceres-open-data-index huggingface dataset:
Dataset of water boundaries intersected with MRB_RF1 reach flowlines

This data release consists of the data used to develop SPAtially Referenced Regression On Watershed(SPARROW) attributes models for estimating loads of total phosphorus and total nitrogen in Tennessee streams. These data support the publication containing the Tennessee SPARROW models results (Hoos and others, 2019) and include model input used in the South Atlantic-Gulf Drainages and Tennessee River Basin (SAGT) nutrient SPARROW models (Hoos and McMahon, 2009; Garcia and others, 2011) as well as model input for river basins in Tennessee not included in the domain of the published SAGT SPARROW models. Also included in this data release are model coefficients, the software required to execute the Tennessee SPARROW models, and the model output for all streams in Tennessee. Each data set is listed in this data release with an accompanying file containing metadata for the dataset. For additional details, please refer to the README.txt file.

Tags: nitrogen, nutrients, phosphorus, sparrow, surface-water-quality, usgs-5c548395e4b0708288fecc38
Organization: Department of the Interior
An Unvegetated to Vegetated Ratio (UVVR) for coastal wetlands of the Atlantic Coast - 2019

Prior research has shown that sediment budgets, and therefore stability, of microtidal marsh complexes scale with areal unvegetated to vegetated marsh ratios (UVVR) suggesting these metrics are broadly applicable indicators of microtidal marsh vulnerability. This effort has developed the UVVR metric using readily available satellite imagery for the coastal areas of the contiguous United States (CONUS). These datasets provide annual averages of the 1) unvegetated fraction, 2) vegetated fraction, 3) water fraction and 4) an unvegetated to vegetated ratio (UVVR) at 30-meter resolution over the coastal areas of the contiguous United States for the year 2019. Additionally, multi-year average values of vegetated ratio, its standard deviation and a UVVR based on the annually-averaged vegetated ratio are provided for the coastal wetlands of the contiguous United States.

Tags: atlantic-coast, coastal-wetlands, connecticut, conterminous-united-states, delaware, florida, fractional-cover, georgia, maine, maryland, massachusetts, new-hampshire, new-jersey, new-york, north-carolina, rhode-island, south-carolina, unvegetated, unvegetated-to-vegetated-ratio, usgs-66e1cef6d34ecba8b86777f4, uvvr, vegetation, virginia, wetland-change, wetland-gain, wetland-loss, wetlands
Organization: Department of the Interior
Reported and inventoried crop and irrigated acreage in Hendry County, Florida, 1982-2019

A table summarizing the inventoried acreage by crop type and irrigation system was compiled for January to December 2019 for Hendry County, Florida. The irrigated acreage totals were derived from analyses of satellite and aerial imagery and then data were field verified in 2019. In addition, the table provides acreage totals by crop type reported by the U.S. Department of Commerce for 1982 and the U.S. Department of Agriculture for years between 1987 and 2017.

Tags: crop-type, environment, farming, florida, florida-department-of-agriculture-and-consumer-service, groundwater, hendry-county, inlandwaters, irrigation-type, land-use, land-use-classification-codes, orthoimagery, south-florida-water-management-district, surface-water, usgs-5d7a5547e4b0c4f70d02a1c7
Organization: Department of the Interior
Demography and habitat of desert tortoises at the Desert Tortoise Research Natural Area, western Mojave Desert, California (1978 - 2014)

A long-term research project was conducted on Agassiz’s desert tortoises (Gopherus agassizii) at a 7.77 square kilometer plot at the Desert Tortoise Research Natural Area, Western Mojave Desert, California, USA. The plot included tortoise populations and habitat both inside and outside the protective fence at the Research Natural Area. Databases used in the research and publications from the research project are assembled here and include:  census (survey) database used for the demographic analysis and Bayesian modeling of the desert tortoise population; shell-skeletal remains of desert tortoises; clinical signs of health, disease, and trauma in desert tortoises; perennial (shrubs, perennial grasses) and annual plant data from transects within the study area; potential avian predators of desert tortoises at the study area; evidence of mammalian carnivores at the study area; and evidence of anthropogenic impacts to desert tortoise and their habitats inside and outside the fenced Natural Area. 
These data support the following publications: 
1) Berry, K.H., and Yee, J.L., 2021, Development of demographic models to analyze populations with multi-year data-Using Agassiz’s Desert Tortoise (Gopherus agassizii) as a case study: U.S. Geological Survey Open-File Report 2018-1094, 55 p., https://doi.org/10.3133/ofr20181094.
2) Berry, K.H., Yee, J.L., Shields, T.A., and Stockton, L. 2020. The catastrophic decline of tortoises at a fenced Natural Area. Wildlife Monographs 205:1-53. DOI:10.1002/wmon.1052

Tags: biota, california, carnivores, desert-tortoise-research-natural-area, field-inventory-and-monitoring, habitat-fragmentation, human-impacts, mathematical-modeling, mojave-desert, population-dynamics, specimen-collecting, transect-sampling, usgs-603ed15dd34eb12031185da6, usgs-ema-low-pl-mojave-desert-sw-desert, usgs-ema-low-sb-smc-avian, usgs-ema-low-sb-tampe-listed-reptiles, vascular-plants, wildlife-disease
Organization: Department of the Interior
Ground conductivity measurements at selected National Wildlife Refuges: Medwell, Montana, 2017

Shallow subsurface electrical conductivity was mapped at Medwell National Wildlife Refuge (NWR) in northeast Montana using the DUALEM421 electromagnetic sensor (Dualem, Inc., ON, Canada) in the winter of 2017. Data were acquired by towing the DUALEM421 sensor on a sled behind an all-terrain vehicle or snow machine, with the sensor at a nominal height of 0.3 meters (m) above ground surface. Approximately 9 line-kilometers (km) of data were acquired over an area of approximately 1 square-kilometer. Data were manually edited to remove sensor dropouts, lag corrected for apparent offsets between recorded GPS location and data locations for each coil pair, and averaged to a sounding distance of 1m along the survey path; data were not decoupled from infrastructure noise sources (powerlines, pipelines, fences, etc.) or corrected for sensor pitch or roll. This data release contains raw and processed electromagnetic data. Digital data are described by the data dictionaries. Additional details regarding the processing steps are described in the metadata.

Tags: electromagnetic-surveying, electromagnetics, environment, geology-geophysics-and-geochemistry-science-center, geophysics, geoscientificinformation, gggsc, groundwater, hydrogeology, medicine-lake, medwell, montana, national-wildlife-refuge, norock, northern-rocky-mountain-science-center, prairie-pothole-region, resistivity, salinity, science-team-about-energy-and-plains-and-potholes-environments, steppe, usgs-5e94bda982ce172707f035a7, water-resources, williston-basin
Organization: Department of the Interior
White-nose syndrome/Pseudogymnoascus destructans spatio-temporal predictions over North America between 2007 and 2030

This csv contains spatio-temporal predictions for the year of white-nose syndrome/Pseudogymnoascus destructans in support of the manuscript "Gaussian process forecasts Pseudogymnoascus destructans will cover coterminous United States by 2030." Gaussian process models were fitted to monitoring data on the spread of white-nose syndrome in North America from 2007-2022. These models are used to make predictions on a fine spatial grid, giving a forecast (and hindcast) of the spread of white-nose syndrome at any location. The code relies on  the GRTS grid for model prediction, which is publicly accessible at https://doi.org/10.5066/p9o75ydv.

Tags: cave-hibernating-bats, disease-spread, epidemiology, gaussian-process, pseudogymnoascus-destructans, spatio-temporal-forecasting, usgs-634e9eb4d34e47431c15437f, white-nose-syndrome
Organization: Department of the Interior
Wind rose plots for the volcano: 284131  Minami Hiyoshi

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-58d013b7e4b0236b68f52d43, volcanic-ash, volcanic-eruption-forecasting, wind
Organization: Department of the Interior
Magnetotelluric data from Gabbs Valley, Nevada, 2017, station gv01

This dataset consists of 24 magnetotelluric (MT) stations collected in 2017 in Gabbs Valley, Nevada. The U.S. Geological Survey acquired these data as part of Phase 2 of the Nevada Play Fairway Analysis Project led by the University of Nevada at Reno and funded by the Department of Energy (grant number DE-EE0006731) with support from the U.S. Geological Survey's Energy Program.

Tags: apparent-resistivity, cenozoic, earth-magnetic-field, electromagnetic-surveying, energy-resources-program, erp, gabbs-valley, gabbs-valley-range, geology-minerals-energy-and-geophysics-science-center, geophysics, geoscientificinformation, gmegsc, impedance, magnetotelluric-surveying, magnetotellurics, mesozoic, mineral-county, mt, nevada, phase, time-series, tipper, usgs-5ca6c209e4b0c3b0064c2cab
Organization: Department of the Interior
Digital Shoreline Analysis System version 4.3 Transects with Short-Term Linear Regression Rate Calculations for central North Carolina (NCcentral)

Sandy ocean beaches are a popular recreational destination, often surrounded by communities containing valuable real estate.  Development is on the rise despite the fact that coastal infrastructure is subjected to flooding and erosion.  As a result, there is an increased demand for accurate information regarding past and present shoreline changes.  To meet these national needs, the Coastal and Marine Geology Program of the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data along open-ocean sandy shores of the conterminous United States and parts of Alaska and Hawaii under the National Assessment of Shoreline Change project.
There is no widely accepted standard for analyzing shoreline change.  Existing shoreline data measurements and rate calculation methods vary from study to study and prevent combining results into state-wide or regional assessments.  The impetus behind the National Assessment project was to develop a standardized method of measuring changes in shoreline position that is consistent from coast to coast.  The goal was to facilitate the process of periodically and systematically updating the results in an internally consistent manner.

Tags: accretion, atlantic-coast, cape-hatteras, cape-lookout, cmgp, coastal-and-marine-geology-program, coastal-processes, digital-shoreline-analysis-system, dsas, effects-of-coastal-change, environment, erosion, geoscientificinformation, green-island, historic-shoreline, horsepen-point, linear-regression-rate, national-assessment-of-shoreline-change-project, nc, north-america, north-carolina, oceans, ocracoke-inlet, ocracoke-island, portsmouth-island, shoreline, shoreline-accretion, shoreline-erosion, short-term-shoreline-change-rate, transect, u-s-geological-survey, united-states, usgs, usgs-58b8916ce4b01ccd5500c326, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Chemical and isotopic compositions of gases from volcanic and geothermal areas in California

Gas chemical and isotopic compositions are reported for samples collected from 9 volcanic and geothermal areas in California: Medicine Lake Volcano, Mount Shasta, Lassen Volcanic Center, Clear Lake Volcanic Field, Mono Lake Volcanic Field, Long Valley Caldera, Mammoth Mountain, Coso Volcanic Field, and Salton Sea Geothermal Field. Beginning in 2014, gas samples were collected as part of the USGS California Volcano Observatory's newly established gas geochemical monitoring program for moderate to very-high-threat volcanoes.  Data on gas samples collected prior to 2014 by this and previously published studies are also reported to provide longer-term records for some areas.  Gas samples in this study were analyzed for chemical (CO2, H2S, He, H2, Ar, O2, N2, NH3, CH4, C2H6, CO, C3H8, and C4H10) and isotopic (R/RA, d13C-CO2, d13C-CH4, dD-steam, d18O-steam) compositions at USGS laboratories in Menlo Park, California, Denver, Colorado, and Reston, Virginia. The chemical and isotopic data are saved in three spreadsheets in the *.csv format.

Tags: biota, california, clear-lake-volcanic-field, coso-volcanic-field, field-inventory-and-monitoring, geochemistry, geothermal-resources, lassen-volcanic-center, long-valley-caldera, mammoth-mountain, medicine-lake-volcano, mono-lake-volcanic-field, mount-shasta, salton-sea-geothermal-area, usgs-63c848f4d34e06fef14f3414, volcanic-activity, volcanic-gas-emission
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2021 Site 0377 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-653c1e49d34ee4b6e05bc424, wetland, wetland-restoration
Organization: Department of the Interior
Data Release: Peat collapse and vegetation shift after storm-driven saltwater surge in a tidal freshwater swamp, SET

This study was conducted using surface elevation tables (SETs) to determine the change in soil height over time. The study took place at Hickory Point State Forest near Pocomoke City, Maryland from 2015 to 2021. Instead of using the SETs to measure elevation, this dataset uses the concept of the height of the topographic surface established with respect to a local vertical datum, which can be more accurately measured.

Tags: chesapeake-bay, climate-change, droughts, elevation, forested-wetland, freshwater-ecosystems, freshwater-swamp, global-warming, hickory-point-state-forest, maryland, pocomoke-city, pocomoke-river, regime-shift, relict-forest, relict-tidal-inlet, united-states, usgs-62a8b80bd34ec53d2770ec80, wetlands
Organization: Department of the Interior
Environmental DNA mapping of Zebra Mussel populations: Data

Data is a spreadsheet of the number of copies of Zebra Mussel DNA detected and the number of positive detections for Zebra Mussel DNA from water samples collected over 6 different substrates, at 4 depths in 2 lakes. The ash-free dry weight of the mussels at each of the sites is also included for each sampling location.

Tags: alexandria-mn, dreissena-polymorpha, dreissenid-mussels, edna, environmental-dna, lake-le-homme-dieu-mn, maple-lake-mn, monitoring, usgs-5ae870d8e4b0e2c2dd357fe8, zebra-mussel
Organization: Department of the Interior
Wind rose plots for the volcano: 300400  Krainy

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-58d014cce4b0236b68f52e9c, volcanic-ash, volcanic-eruption-forecasting, wind
Organization: Department of the Interior
Geospatial bathymetry datasets for Cross River Reservoir, New York, 2018 to 2019

From May 2017 to November 2019, the U.S. Geological Survey conducted bathymetric surveys of New York City's East of Hudson Reservoirs. Bathymetry data were collected at Cross River Reservoir During June 2018 and October 2019. 
Depth data were collected primarily with a multibeam echosounder; additional bathymetry points were measured using an acoustic Doppler current profiler (ADCP). Quality assurance points were measured with a single-beam echosounder. Water surface elevations were established using real-time kinematic (RTK) and static global navigation satellite system (GNSS) surveys and submersible pressure transducers. Measured sound velocity profiles were used to correct echosounder depth measurements for thermal stratification. Digital elevation models were created by combining the measured bathymetry data with lidar elevation data surrounding the reservoirs; gaps in the combined data were estimated (for example the tops of submerged islands) or interpolated. 
Files included in this Data Release include: grids (tiff format) of reservoir bed elevation, data source, and cell data standard deviation; shapefiles of elevation contours at a 2-foot interval and of single-beam echosounder quality assurance points; and text files (comma-separated value format) of elevation-area-capacity table, measured GNSS points, water surface elevation time series (tides) used to process echosounder data, measured sound velocity profiles, and average sound velocity profiles used to process echosounder data. 
Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

Tags: acoustic-doppler-current-profiling, bathymetry, cross-river-reservoir, digital-elevation-models, elevation, geospatial-analysis, inlandwaters, land-surveying, multibeam-sonar, new-york, single-beam-echosounder, sound-velocity, surface-water-level, surface-water-non-marine, usgs-5fa58687d34ed3698f92dcec, westchester-county
Organization: Department of the Interior
National Hydrography Dataset (NHD)

The National Hydrography Dataset (NHD) is a feature-based database that interconnects 
and uniquely identifies the stream segments or reaches that make up the nation's 
surface water drainage system. NHD data was originally developed at 1:100,000 scale and 
exists at that scale for the whole country.  High resolution NHD adds detail to the original 
1:100,000-scale NHD.  (Data for Alaska, Puerto Rico and the Virgin Islands was developed 
at high-resolution, not 1:100,000 scale.) Like the 1:100,000-scale NHD, high resolution NHD 
contains reach codes for networked features and isolated lakes, flow direction, names, 
stream level, and centerline representations for areal water bodies. Reaches are also 
defined to represent waterbodies and the approximate shorelines of the Great Lakes, 
the Atlantic and Pacific Oceans and the Gulf of Mexico. The NHD also incorporates the 
National Spatial Data Infrastructure framework criteria set out by the Federal Geographic 
Data Committee.

Tags: artificial-path, canal-ditch, environment, fwhydrography, geoscientificinformation, hydrography, inlandwaters, lake-pond, reach, reservoir, spring-seep, stream-river, swamp-marsh, usgs-630995a1-c554-4255-a4ed-4cc8e98369e1
Organization: Department of the Interior
Airborne geophysical survey: East-central Oregon, Oregon

Aeromagnetic data were collected along flight lines by instruments in an
aircraft that recorded magnetic-field values and locations.  This dataset
presents latitude, longitude, altitude, and magnetic-field values.

Tags: aeromagnetic-data, aeromagnetic-surveying, airborne-surveys, central, east, east-central-oregon, f41001-baker, f41013-crook, f41017-deschutes, f41023-grant, f41025-harney, f41037-lake, f41045-malheur, f41049-morrow, f41059-umatilla, f41061-union, f41069-wheeler, field-monitoring-stations, geophysical-surveys, geophysics, geospatial-datasets, magnetic, magnetic-field-earth, magnetic-surveys, or, oregon, residual-magnetic-field, total-field, united-states, usgs-4f01f7a6-1dd2-4d58-b398-1d21f10bae7c
Organization: Department of the Interior
Red Lionfish DNA data collected from Florida, USA and around the invasive distribution from 2007 to 2016

Red lionfish (Pterois volitans) have become a successful invasive predator across the Northwestern Atlantic, Caribbean, and Gulf of Mexico (GoM). Previous investigations have identified the southeast coast of Florida as the original site of introduction, but no region-wide genetic study has directly addressed the question of introduction location(s). This dataset includes previously unpublished red lionfish samples (n = 237) from six locations: The Bahamas, Florida Keys, Northwest Florida, North Carolina, Panama, and Southeast Florida. Sequences archived in NCBI from other locations in the Northern Region, Caribbean, and Gulf of Mexico basins were used in the analyses (N = 1558). Previously published sequences were obtained from Freshwater et al. (2009) (N = 396), Sealy et al. (2013) (N = 178), Whitaker and Janosik (2020) (N = 80), Butterfield et al. (2015) (N = 214), Toledo-Hernandez et al. (2014) (N = 118), Betancur-R et al. (2011) (N = 337), and Johnson et al. (2016) (N = 235). Previously unpublished North Carolina lionfish sequences were also obtained from the collection held by D. Wilson Freshwater (n = 2). Additionally, 14 microsatellite loci were multiplexed to assess connectivity and invasion pathways on 393 samples from the region.

Tags: biota, caribbean, caribbean-sea, genetic-diversity, gulf-of-mexico, invasion-pathway, invasive-species, mitochondrial-marker, north-atlantic, nuclear-microsatellite-marker, southeast-florida, usgs-5fd39e3cd34e30b91239cc36, western-atlantic-ocean
Organization: Department of the Interior