AndreaBozzo/ceres-open-data-index huggingface dataset:
Missouri River bed elevations at pipeline crossing near Union, Nebraska surveyed during 2011 flood on July, 27

A RESON SeaBat™ 7125 multibeam echosounder in conjunction with an Applanix Position Orientation Solution 
for Marine Vessels (POS MV™) WaveMaster system motion sensor, HYPACK®/HYSWEEP® navigation software, 
and Ashtech Z-Xtreme GPS receivers or Trimble R8 receivers was used to survey the Missouri River bed at 15 pipeline 
crossings at four different locations, at three power plant locations, and at one transmission tower during the 2011 
flood event.  The format of this data is a grid with each cell covering 0.5 meter by 0.5 meter.  The elevation value 
(North American Vertical Datum, NAVD88) represented by each cell is the most probable elevation for that cell 
based on calculated Total Propagated Uncertainty (TPU) as calculated in Caris HIPS and SIPS software.  Calculated 
TPS values are then used by Caris to create a Combined Uncertainty and Bathymetric Estimator (CUBE) surface.  
The surface grid was used to export the cell centroid position (Northing, Easting in UTM zone 14 North, in meters) 
along with the cell elevation (referenced to NAVD88, in meters) to create the text file.  The data were collected by 
the U.S. Geological Survey in cooperation with the Environmental Protection Agency (EPA) and the Omaha Public 
Power District (OPPD).

Tags: bathymetry, cass-county, environment, fremont-county, geoscientificinformation, inlandwaters, iowa, missouri-river, multibeam-sonar, nebraska, terrain, topography, usgs-618a6405-e959-425d-9f4e-4da9472962b1
Organization: Department of the Interior
High-Water Marks in the Five Boroughs of New York City from Flash Flooding Caused by the Remnants of Hurricane Ida, September 1, 2021

This data release contains results of a high-water mark survey across the five boroughs of New York City following flash flooding caused by the remnants of Hurricane Ida, September 1, 2021.  The survey was conducted between September 7 and November 23, 2021, and is based on observations of mud, debris, and seed lines left by the flooding.  Real time and static GNSS surveying as well as available lidar data were used to determine high-water mark elevations at 83 locations.  Additional data associated with Hurricane Ida flooding can be found in the USGS Flood Event Viewer, https://stn.wim.usgs.gov/fev/#2021Ida

Tags: floods, high-water, high-water-marks, hurricane-ida, inlandwaters, usgs-618975c8d34ec04fc9c5a049
Organization: Department of the Interior
Sulfur isotope analyses of mineral deposits: sulfide minerals in epithermal veins of the Lowland mining district, Montana, USA and anhydrite associated with the Black Angel zinc-lead-silver deposit, Greenland

These data are sulfur isotope determinations (34S/32S ratios) for sulfur-bearing minerals collected from epithermal veins in the Lowland mining district, Montana, USA and from metasedimentary rocks that host the Black Angel zinc-lead-silver deposit, Greenland. The samples were collected by cooperators as parts of larger ore genesis studies. The determinations were performed between February 2019 and March 2021 on 35 samples of pyrite, sphalerite, galena, and chalcopyrite from Lowland vein occurrences and 5 samples of anhydrite from Black Angel host rocks.

Tags: eocene, geology-geophysics-and-geochemistry-science-center, geoscientificinformation, gggsc, greenland, jefferson-county, mineral-resource-program, mineral-resources, montana, mrp, paleoproterozoic, u-s-geological-survey, use-this-thesaurus-when-your-keywords-are-not-found-the-usgs-thesaurus-or-other-thesauri, usgs, usgs-61896d9ed34ec04fc9c593d2
Organization: Department of the Interior
Nitrate and chloride groundwater quality data, selected well construction characteristics, and aquifer assignments for wells in the Great Lakes Watershed, United States

This data release contains groundwater-quality data for nitrate and chloride, and well information for sample sites for aquifers in the Great Lakes Basin within the United States. Water-quality data and well information were derived from a dataset compiled from the U.S. Geological Survey (USGS) National Water Information System and numerous agencies and organizations at the state, regional, and local level. The data presented in this data release are data pulled from the USGS National Water Quality Program groundwater assessment team’s internal dataset, informally referred to as the National Groundwater aggregation (NGA). Data collected in the Great Lakes Basin by the U.S. and Canada augment the NGA. Specifically, only geochemical parameters of interest (nitrate and chloride) from wells in the national groundwater aggregation are presented in this data release, while data from springs were not used.

Tags: environment, groundwater, usgs-61891ab6d34ec04fc9c53637, water-quality
Organization: Department of the Interior
Rangeland Condition Monitoring Assessment and Projection (RCMAP) Fractional Component Time-Series Across the Western U.S. 1985-2020 - Trends

The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across the western U.S. using Landsat imagery from 1985-2020. The RCMAP product suite consists of eight fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, shrub and rule-based error maps including the temporal trends of each component. Several enhancements were made to the RCMAP process relative to prior generations. We used an updated version of the 2016 base training data, with a more aggressive forest mask and reduced shrub and sagebrush cover bias in pinyon-juniper woodlands. We pooled training data in areas and times identified as having no spectral change relative to the base year across all years in the time-series and used a series of procedures to remove the most spatially and temporally common values. We also used composite Landsat Analysis Ready Data (ARD) in seven regions instead of using individual images by path and row. An automated method to identify change in spectral conditions between each year in the Landsat archive and the circa 2016 base map, resulted in a robust and sensitivity of subtle changes. Yearly fractional component cover outputs were inserted in the changed area while the base year values were maintained in the unchanged area. Processing efficiency has been increased through use of open-source software and High-Performance Computing (HPC) resources. The mapping area included seven regions which were subsequently mosaicked for all eight components. 
These data can be used to answer critical questions regarding the influence of climate change and the suitability of management practices. Component products can be downloaded from www.mrlc.gov.

Tags: annual-herbaceous, arizona, arizona-plateau, az, back-in-time, bare-ground, big-sagebrush, biota, black-hills, blue-mountains, ca, california, chihuahuan, chihuahuan-desert, climate-change, co, colorado, colorado-plateau, columbia-plateau, desert, environment, geoscientificinformation, grand-canyon, grass, grassland-change, great-basin, gunnison, herbaceous, id, idaho, imagerybasemapsearthcover, litter, mediterranean-california, middle-rockies, mojave, montana, mt, mts, nd, ne, nebraska, nevada, new-mexico, nm, north-dakota, north-plains, northern-great-plains, northern-great-salt-lake-desert, northern-mountainous, northern-rocky-mountains, nv, or, oregon, plains, plateau, rangeland, rangeland-management, rocky-mountains, sagebrush, sd, shrub, shrubland, shrubland-change, shrubland-ecosystems, shrublands, sierra-nevada, sonoran, sonoran-desert, south-dakota, southern-great-salt-lake-desert, southern-rocky-mountains, southwest-tablelands, terrestrial-ecosystems, texas, the-rockies, three-forks, time-series, trends, tx, united-states, usgs-618915e9d34ec04fc9c53634, ut, utah, vegetation, vegetation-change, wa, wasatch, washington, western-us, wy, wyoming, wyoming-basin, yellowstone
Organization: Department of the Interior
Sediment accumulations and field-saturated hydraulic conductivity time series following the 2017 Nuns and Tubbs wildfires, Napa and Sonoma Counties, CA, USA

This dataset comprises repeat surveys of field-saturated hydraulic conductivity and sorptivity following the October 2017 Nuns and Tubbs wildfires as part of an effort to document soil-hydraulic recovery. A summary table includes associated physiographic properties for each site, including: pre-burn vegetation, lithology, soil burn severity, location, soil texture, and associated van Genuchten parameters determined using Carsel and Parrish (1988). Soil-hydraulic properties were calculated using the model of Zhang (1997) and Vandervaere et al. (2000). We separately include the raw cumulative infiltration measurements used for the calculation of soil-hydraulic properties. Lastly, this dataset includes a survey of dry ravel accumulations measured in July 2019 in heavily burned watershed within Mark West Creek Regional Park and Open Space Preserve. Dry ravel accumulations were measured through excavating sediment piles along road cuts and identifying the thickness of post-fire sediment layers. 
Carsel, R. F., &amp; Parrish, R. S. (1988). Developing joint probability distributions of soil water retention characteristics. Water Resources Research. https://doi.org/10.1029/WR024i005p00755
Vandervaere, J.-P., Vauclin, M., &amp;  Elrick, D. E. (2000). Transient Flow from Tension Infiltrometers I. The Two-Parameter Equation. Soil Science Society of America Journal, 64(4), 1263–1272. https://doi.org/10.2136/sssaj2000.6441263x
Zhang, R. (1997). Determination of Soil Sorptivity and Hydraulic Conductivity from the Disk Infiltrometer. Soil Science Society of America Journal. https://doi.org/10.2136/sssaj1997.03615995006100040005x

Tags: fires, geoscientificinformation, hazard-preparedness, percolation, permeability, runoff, sedimentation, usgs-61e9aa10d34e8b818ad91586
Organization: Department of the Interior
Model Archive Summary for a Suspended-Sediment Concentration Surrogate Regression Model for Station 405219124085601; Mad River Slough near Arcata, CA

Model archive summary (MAS) describing the development of a suspended-sediment concentration (SSC) surrogate regression model for the Mad River Slough near Arcata, CA water quality station (USGS site ID# 405219124085601). A 15-minute SSC record was computed using this regression model for the period of record (03-04-2016 to 09-10-2019). The computed SSC record can be found on NWIS Web at https://waterdata.usgs.gov/nwis/inventory/?site_no=405219124085601&amp;agency_cd=USGS.  The SSC record was used to assess ambient SSC conditions, the availability of suspended sediment to support surface deposition and elevation gain in adjacent salt marshes, and to characterize salt marsh resiliency to climate change impacts in Humboldt Bay, CA.

Tags: california, environment, estuarine-processes, geomorphology, humboldt-bay, mad-river-slough, marsh-ecosystems, sediment-transport, usgs-6185c207d34ec04fc9c20866, water-quality, water-resources
Organization: Department of the Interior
Model Archive Summary for a Suspended-Sediment Concentration Surrogate Regression Model for Station 404038124131801; Hookton Slough near Loleta, CA

Model archive summary (MAS) describing the development of a suspended-sediment concentration (SSC) surrogate regression model for the Hookton Slough near Loleta, CA water quality station (USGS site ID# 404038124131801). A continuous 15-minute SSC record was computed using this regression model for the period of record (03-04-2016 to 09-10-2019). The computed SSC record can be found on NWIS Web at https://waterdata.usgs.gov/ca/nwis/uv?site_no=404038124131801. The SSC record was used to assess ambient SSC conditions, the availability of suspended sediment to support surface deposition and elevation gain in adjacent salt marshes, and to characterize salt marsh resiliency to climate change impacts in Humboldt Bay, CA.

Tags: california, environment, estuarine-processes, geomorphology, hookton-slough, humboldt-bay, marsh-ecosystems, sediment-transport, usgs-6185c1bad34ec04fc9c20860, water-quality, water-resources
Organization: Department of the Interior
Evaporation data from Lake Mead, Nevada and Arizona

This U.S. Geological Survey data release presents monthly evaporation estimates from Lake Mead, Nevada and Arizona. Data are updated approximately annually. The spreadsheet includes five worksheets:
(1) Read_Me worksheet contains information relevant to understanding the data contained in the rest of the worksheets.
(2) Monthly_EC_Met worksheet includes data measured at a land-based station (USGS site identification number 360500114465601) using primarily eddy covariance measurement methods: uncorrected evaporation, latent- and sensible-heat fluxes, net radiation, air temperature, wind speed, and relative humidity. Values are monthly averages computed by averaging daily values except as noted. Monthly values are marked as estimated when a significant portion of daily values are estimated.
(3) Monthly_Energy-Budget_Data worksheet includes computed data used to correct measured evaporation for energy balance. Computed data include monthly values for change in stored heat, net advection, turbulent flux, available energy, energy balance ratio, energy balance closure, and Bowen ratio. Change in stored heat was calculated based on methods in Earp and Moreo (2021). Net advection was calculated based on data estimated by the Bureau of Reclamation 24-Month Study (2022). Values are monthly averages or computed from monthly averages. 
(4) Annual_Energy_Balance worksheet includes annual averages of the Monthly_Energy_Balance data and the annual average values for energy-balance corrected sensible and latent heat fluxes. Values are annual averages or computed from annual averages.
(5) Monthly_Evaporation_Estimates worksheet includes measured evaporation, corrected (most probable) evaporation, and energy balance ratio (EBR) adjusted evaporation, in feet. Values are monthly averages or computed from monthly averages. 
Data were processed according to methods described in Moreo and Swancar (2013) and Earp and Moreo (2021). 
References Cited:
Bureau of Reclamation, Lower Colorado Region website: Operation Plan for Colorado River System Reservoirs (24-Month Study), accessed September 1, 2022 at https://www.usbr.gov/lc/region/g4000/24mo/index.html.  
Earp, K.J., and Moreo, M.T., 2021, Evaporation from Lake Mead and Lake Mohave, Nevada and Arizona, 2010–2019: U.S. Geological Survey Open-File Report 2021–1022, 36 p., https://doi.org/10.3133/ofr20211022.
Moreo, M.T., and Swancar, A., 2013, Evaporation from Lake Mead, Nevada and Arizona, March 2010 through February 2012: U.S. Geological Survey Scientific Investigations Report 2013–5229, 40 p., http://dx.doi.org/10.3133/sir20135229.

Tags: arizona, clark-county, eddy-covariance, energy-budget, evaporation, field-inventory-and-monitoring, inlandwaters, lake-mead, mohave-county, nevada, surface-water-non-marine, usgs-618579f2d34ec04fc9c1bd5f
Organization: Department of the Interior
DNA sequences from Ichthyophonid parasites

Data included are DNA sequences used to identify species boundaries among Ichthyophonus-like parasites. Sequences were generated for three gene regions from each parasite isolate.  DNA sequences can be downloaded from GenBank (https://www.ncbi.nlm.nih.gov/) as text or fasta files. Accession numbers for each sequence are included in the data table (.csv file). Data includes 87 sequences (99,383 total nucleotides). 
Once manuscript is accepted there are no restrictions on dissemination of these data.

Tags: bering-sea, dna-sequencing, farming, north-atlantic, northeast-pacific, ocean, parasites, puget-sound, usgs-61855bd8d34ec04fc9c18a84, usgs-ema-low-fish-and-wildlife-disease, wildlife-disease, yukon
Organization: Department of the Interior
Spatial and temporal survey of waterborne myxozoan parasites in the Lake Sammamish watershed, Washington, from 2019 - 2020

There is a fundamental knowledge gap on the distribution, prevalence, intensity, and ecology of salmonid myxozoan parasites in the Lake Sammamish watershed, Washington. To address this knowledge gap, we tested water samples for Ceratonova shasta, Parvicapsula minibicornis and Tetracapsuloides bryosalmonae DNA from 84 sites distributed throughout the Lake Sammamish watershed in fall 2019 and 74 sites in spring 2020. Our surveillance identified zones with high waterborne parasite loads and provides a proof of concept for this approach that could be expanded throughout the larger Lake Washington watershed.

Tags: biota, ceratonova-shasta, environment, fishes, inlandwaters, parasites, parvicapsula-minibicornis, puget-sound, tetracapsuloides-bryosalmonae, usgs-6185584dd34ec04fc9c18a74, washington
Organization: Department of the Interior
RGB-averaged orthoimagery of coastal North Carolina, from 2019-08-30 to 2019-09-02, Pre-Hurricane Dorian

Orthoimages were created from aerial imagery collected between August 30 and September 2, 2019, along the North Carolina coast between the Virginia-North Carolina border vicinity and Cape Lookout, North Carolina. These RBG-averaged orthoimages were created to document ground conditions prior to Hurricane Dorian, which made landfall on the North Carolina coast on September 6, 2019.
The RBG-averaged orthoimages help researchers estimate the land surface before Hurricane Dorian and were created to document inter-annual changes in shoreline position and coastal morphology in response to storm events using aerial imagery collections and a structure from motion (SFM) workflow. These data can be used with geographic information systems or other software to identify topographic and shallow-water bathymetric features.

Tags: aerial-photography, atlantic-ocean, barrier-island, bathymetry-and-elevation, beach, beaufort-inlet, cape-hatteras, cape-lookout, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, commonwealth-of-virginia, duck-1025292, earth-sciences, fragile-ecosystems, geographic-information-systems-gis, geography, geomorphology, geoscientificinformation, geospatial-datasets, hatteras-inlet, hurricane-dorian, hurricanes, hurricanes-and-typhoons, image-collections, imagerybasemapsearthcover, oceans, ocracoke-inlet, ophelia-inlet, oregon-inlet, outer-banks, pacific-coastal-and-marine-science-center, pamlico-sound, pcmsc, physical-habitats-and-geomorphology, remote-sensing, remote-sensing-coastal-change, saint-petersburg-coastal-and-marine-science-center, spcmsc, state-of-north-carolina, structure-from-motion, u-s-geological-survey, usgs, usgs-61854479d34ec04fc9c18a25, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Mineral Commodity Summaries 2022 - SODA ASH Data Release

This data release contains the U.S. salient statistics and world production data extracted from the SODA ASH data sheet of the USGS Mineral Commodity Summaries 2022.

Tags: nonmetallic-mineral-resources, soda-ash, sodium-carbonate, usgs-61ead387d34e8b818ad9f407
Organization: Department of the Interior
Digital elevation models (DEMs) of coastal North Carolina, from 2019-08-30 to 2019-09-02, Pre-Hurricane Dorian

Digital elevation models (DEMs) were created from aerial imagery collected between August 30 and September 2, 2019, along the North Carolina coast between the Virginia-North Carolina border vicinity and Cape Lookout, North Carolina. These DEMs were created to document ground conditions prior to Hurricane Dorian, which made landfall on the North Carolina coast on September 6, 2019.
The DEMs help researchers estimate the land surface before Hurricane Dorian and were created to document inter-annual changes in shoreline position and coastal morphology in response to storm events using aerial imagery collections and a structure from motion (SFM) workflow. These data can be used with geographic information systems or other software to identify topographic and shallow-water bathymetric features.

Tags: atlantic-ocean, barrier-island, bathymetry-and-elevation, beach, beaufort-inlet, cape-hatteras, cape-lookout, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, commonwealth-of-virginia, digital-elevation-models, digital-surface-models, duck-1025292, earth-sciences, fragile-ecosystems, geographic-information-systems-gis, geography, geomorphology, geoscientificinformation, geospatial-datasets, hatteras-inlet, hurricane-dorian, hurricanes, hurricanes-and-typhoons, imagerybasemapsearthcover, oceans, ocracoke-inlet, ophelia-inlet, oregon-inlet, outer-banks, pacific-coastal-and-marine-science-center, pamlico-sound, pcmsc, physical-habitats-and-geomorphology, remote-sensing, remote-sensing-coastal-change, saint-petersburg-coastal-and-marine-science-center, spcmsc, state-of-north-carolina, structure-from-motion, u-s-geological-survey, usgs, usgs-61854463d34ec04fc9c18a20, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Streamflow Characteristics Computed from the Stochastic Watershed Model Output for Selected Warming Scenarios for Squannacook River Watershed in Massachusetts

The datasets are streamflow characteristics computed from the 1 million ensembles of the Stochastic Watershed Model for each warming scenario of 0 to 8 degrees Celsius in 0.5-degree intervals for the Squannacook River at West Groton, Massachusetts streamgage location. Each value in the files represents a streamflow characteristic computed from an ensemble that covers a period of 64 years of daily streamflows computed by the Stochastic Watershed Model. The Stochastic Watershed Model was developed at Tufts University (Shabestanipour and others, 2022). The streamflow characteristics include the 2-, 5-, 10-, 25-, 50-, 100-, and 500-year recurrence interval of the annual maximum daily streamflow and the 7-day low flow with a 2- and 10-year recurrence interval. There is one file for each streamflow characteristic.
Shabestanipour, G., Broudeur, Z., Farmer, W., Steinschneider, S., Vogel, R., and Lamontagne, J., 2022, Stochastic watershed model ensembles for long-range planning—Verification and validation: Water Resources Research, v. 59, no. 2, 20 p., accessed January 3, 2024 at https://doi.org/10.1029/2022WR032201.

Tags: hydrology, massachusetts, squannacook-river, usgs-618518a4d34ec04fc9c10c9d
Organization: Department of the Interior
Deterministic Model Input and Output Data for Selected Warming Scenarios for the Squannacook River Watershed in Massachusetts

The input datasets are daily precipitation and minimum and maximum temperature for a period of 64 years for warming scenarios of 0 degrees to 8 degrees Celsius, by 0.5-degree increments for the Squannacook River watershed in Massachusetts. The source of the data is the Stochastic Weather Generator (SWG; Steinschneider and Najibi, 2022) and includes 100 ensembles from the SWG. The daily time-series, space-delimited files cover three subwatersheds within the Squannacook River watershed in a format readable by the Precipitation Runoff-Modeling System (PRMS; https://www.usgs.gov/software/precipitation-runoff-modeling-system-prms). The input files were input to PRMS, along with the model control and parameter files, to generate the output files. The output files are daily time-series in comma-delimited format of the resulting discharges for the Squannacook River at the mouth of the river and at the Squannacook River near West Groton, Massachusetts streamgage for each of the ensembles of each of the warming scenarios.

Tags: hydrology, massachusetts, squannacook-river, usgs-61851691d34ec04fc9c10c99, west-groton
Organization: Department of the Interior