AndreaBozzo/ceres-open-data-index huggingface dataset:
Transect 13 time-domain electromagnetic soundings to delineate saline groundwater in the Genesee valley-fill aquifer system, New York (2016-2017)

This folder contains the raw and processed TEM data and inverted soundings showing resistivity (in ohm-m) with depth for all survey sites that were part of transect 13.
In October and November 2016-2017, transient electromagnetic (TEM) data, also called time domain electromagnetic (TDEM) surveys, were acquired at 120 locations in the Genesee Valley, Livingston County, in New York, in order to characterize the subsurface resistivity structure in support of a U.S. Geological Survey groundwater investigation. The TEM data were collected as part of a project to evaluate geophysical methods to characterize the valley-fill sediments, underlying bedrock, and salinity of the subsurface. TEM data were collected using an ABEM WalkTEM unit (acquisition software V 1.1.0 and newer) using two transmitter loop (Tx) sizes, 100 by 100 meters square and 40 by 40 meters square, a center-loop receiver (Rx) that is 0.5 by 0.5 square meters in size (with an effective area of 35 m^2), and dual currents of about 2 and 11 amperes (A). In addition, a second center-loop receiver, 10 by 10 meters square in size (with an effective area of 1400 m^2) was used. Both receivers were centered and concentrically nested inside the Tx loop. The Tx measurement cycles were stacked 10 times, and 1-5 measurements were taken at each site. Multiple surveys collected at the same location were stacked, filtered, and averaged for each Tx current and set of Rx measurements. This data release includes the raw and processed TEM data and inverted soundings showing resistivity (in ohm-m) with depth.

Tags: electromagnetic-surveying, genesee-river-valley, groundwater, livingston-county, new-york, resistivity, salinity, usgs-5f5f877182ce3550e3bff1be
Organization: Department of the Interior
Sound velocity profile data from an AML Oceanographic MVP30 collected in Little Egg Inlet and offshore the southern end of Long Beach Island, NJ, during USGS Field Activity 2018-001-FA (PNG images, CSV text, ASVP text, and point shapefile, GCS WGS 84)

The natural resiliency of the New Jersey barrier island system, and the efficacy of management efforts to reduce vulnerability, depends on the ability of the system to recover and maintain equilibrium in response to storms and persistent coastal change. This resiliency is largely dependent on the availability of sand in the beach system. In an effort to better understand the system's sand budget and processes in which this system evolves, high-resolution geophysical mapping of the sea floor in Little Egg Inlet and along the southern end of Long Beach Island near Beach Haven, New Jersey was conducted from May 31 to June 10, 2018, followed by a sea floor sampling survey conducted from October 22 to 23, 2018, as part of a collaborative effort between the U.S. Geological Survey and Stockton University. Multibeam echo sounder bathymetry and backscatter data were collected along 741 kilometers of tracklines (approximately 200 square kilometers) of the coastal sea floor to regionally define its depth and morphology, as well as the type and distribution of sea-floor sediments. Six hundred ninety-two kilometers of seismic-reflection profile data were also collected to define the thickness and structure of sediment deposits in the inlet and offshore. These new data will help inform future management decisions that affect the natural and recreational resources of the area around and offshore of Little Egg Inlet. These mapping surveys provide high-quality data needed to build scientific knowledge of the evolution and behavior of the New Jersey barrier island system.

Tags: aml-oceanographic-moving-vessel-profiler, aml-oceanographic-mvp30, beach-haven, cmhrp, coastal-and-marine-hazards-and-resources-program, esri-shapefile, field-activity-number-2018-001-fa, field-activity-number-2018-049-fa, forsythe-wildlife-refuge, geoscientificinformation, holgate, little-egg-inlet, location, long-beach-island, marine-geology, moving-vessel-profiler, mvp, navigational-data, new-jersey, ocean-sciences, oceans, r-v-petrel, shapefile, sound-speed-profile, sound-velocity, sound-velocity-profile, sound-velocity-profiles, ssp, svp, u-s-geological-survey, united-states-of-america, usgs, usgs-5f5f947682ce3550e3bff211, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Phytoplankton data for Milford Lake, Kansas, June through October 2018

This U.S. Geological Survey (USGS) Data Release provides phytoplankton data collected from Milford Lake, Kansas, during June through October 2018. All data are reported as raw calculated values and are not rounded to USGS significant figures. This data release was produced in compliance with the federal open-data requirements as a way to make scientific products associated with USGS research efforts and publications available to the public. The dataset includes all routine and quality assurance/quality control samples collected at eight USGS sample locations at Milford Lake. Phytoplankton were identified to the lowest possible taxonomic level and abundance (density) and biovolume are reported.

Tags: algae, division, freshwater, genus, kansas, lake, lower-kansas-river-basin, milford-lake, milford-lake-ks-site-20, milford-lake-ks-site-21, milford-lake-ks-site-23, milford-lake-ks-site-32, milford-lake-ks-site-42, milford-lake-ks-site-63, milford-lake-ks-site-7, milford-lake-near-wakefield-ks, phytoplankton, reservoir, species, taxa, taxonomy, united-states, usgs-5f5fed4782ce3550e3bff4c6, usgs-station-id-390435096540200, usgs-station-id-390610096555500, usgs-station-id-390734096543800, usgs-station-id-390910096551800, usgs-station-id-391108096554600, usgs-station-id-391207096565500, usgs-station-id-391259097001800, usgs-station-id-391332097001100
Organization: Department of the Interior
Chirp seismic reflection data from the Edgetech 512i collected in Little Egg Inlet and offshore the southern end of Long Beach Island, NJ, during USGS field activity 2018-001-FA (shotpoints point shapefile, survey trackline shapefile, PNG profile images, and SEG-Y trace data).

The natural resiliency of the New Jersey barrier island system, and the efficacy of management efforts to reduce vulnerability, depends on the ability of the system to recover and maintain equilibrium in response to storms and persistent coastal change. This resiliency is largely dependent on the availability of sand in the beach system. In an effort to better understand the system's sand budget and processes in which this system evolves, high-resolution geophysical mapping of the sea floor in Little Egg Inlet and along the southern end of Long Beach Island near Beach Haven, New Jersey was conducted from May 31 to June 10, 2018, followed by a sea floor sampling survey conducted from October 22 to 23, 2018, as part of a collaborative effort between the U.S. Geological Survey and Stockton University. Multibeam echo sounder bathymetry and backscatter data were collected along 741 kilometers of tracklines (approximately 200 square kilometers) of the coastal sea floor to regionally define its depth and morphology, as well as the type and distribution of sea-floor sediments. Six hundred ninety-two kilometers of seismic-reflection profile data were also collected to define the thickness and structure of sediment deposits in the inlet and offshore. These new data will help inform future management decisions that affect the natural and recreational resources of the area around and offshore of Little Egg Inlet. These mapping surveys provide high-quality data needed to build scientific knowledge of the evolution and behavior of the New Jersey barrier island system.

Tags: beach-haven, chirp, cmhrp, coastal-and-marine-hazards-and-resources-program, edgetech, field-activity-number-2018-001-fa, field-activity-number-2018-049-fa, forsythe-wildlife-refuge, geoscientificinformation, geospatial-datasets, holgate, image, little-egg-inlet, location, long-beach-island, marine-geology, marine-geophysics, navigational-data, new-jersey, oceans, png, r-v-petrel, sb-512i, sea-floor, seafloor, seg-y-traces, seismic-navigation, seismic-profile, seismic-reflection, seismic-reflection-methods, shapefile, sub-bottom-profiling, trackline-navigation, u-s-geological-survey, united-states-of-america, usgs, usgs-5f5f94ad82ce3550e3bff214, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Multibeam echo sounder, Reson T-20P tracklines collected in Little Egg Inlet and offshore the southern end of Long Beach Island, NJ, during USGS Field Activity 2018-001-FA (Esri polyline shapefile, GCS WGS 84)

The natural resiliency of the New Jersey barrier island system, and the efficacy of management efforts to reduce vulnerability, depends on the ability of the system to recover and maintain equilibrium in response to storms and persistent coastal change. This resiliency is largely dependent on the availability of sand in the beach system. In an effort to better understand the system's sand budget and processes in which this system evolves, high-resolution geophysical mapping of the sea floor in Little Egg Inlet and along the southern end of Long Beach Island near Beach Haven, New Jersey was conducted from May 31 to June 10, 2018, followed by a sea floor sampling survey conducted from October 22 to 23, 2018, as part of a collaborative effort between the U.S. Geological Survey and Stockton University. Multibeam echo sounder bathymetry and backscatter data were collected along 741 kilometers of tracklines (approximately 200 square kilometers) of the coastal sea floor to regionally define its depth and morphology, as well as the type and distribution of sea-floor sediments. Six hundred ninety-two kilometers of seismic-reflection profile data were also collected to define the thickness and structure of sediment deposits in the inlet and offshore. These new data will help inform future management decisions that affect the natural and recreational resources of the area around and offshore of Little Egg Inlet. These mapping surveys provide high-quality data needed to build scientific knowledge of the evolution and behavior of the New Jersey barrier island system.

Tags: backscatter, bathymetry, beach-haven, cmhrp, coastal-and-marine-hazards-and-resources-program, department-of-the-interior, doi, field-activity-number-2018-001-fa, field-activity-number-2018-049-fa, forsythe-wildlife-refuge, geology, geophysics, geoscientificinformation, geospatial-datasets, geotiff, holgate, imagerybasemapsearthcover, little-egg-inlet, long-beach-island, marine-geology, multibeam-backscatter, multibeam-bathymetry, multibeam-echo-sounder, multibeam-sonar, navigational-data, new-jersey, oceans, r-v-petrel, reson, sea-floor, seafloor, stockton-university, t20p, u-s-geological-survey, united-states-of-america, usgs, usgs-5f5f952e82ce3550e3bff21c, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Mesocarnivore Survey of Lassen Volcanic National Park, Klamath Network, 2017-2018

Remote camera stations were set up in Lassen Volcanic National Park from August to October 2017 and June to September 2018 to document occurrence of mesocarnivores and other wildlife. 126 cameras were set up at 32 primary sampling units (clusters of two to four cameras) throughout the park. Random locations for primary sampling units were chosen using a 3-km sampling grid over the park area. The dataset contains all species observed within the study time-frame, the date and time of observation and the number of individuals detected as well as identification for individual locations, cameras and images. Of the three target species of conservation concern (Pacific fisher (Pekania pennanti), Pacific marten (Martes caurina), Sierra Nevada red fox (Vulpes vulpes necator)), Pacific martens and Red foxes were detected.

Tags: biota, birds, california, camera-survey, carnivores, environment, image-collections, insects, klamath-monitoring-network, lassen, lassen-volcanic-national-park, mammals, mesocarnivores, pacific-northwest, plumas, shasta, tehama, usgs-5f5f95c782ce3550e3bff234, wildlife
Organization: Department of the Interior
Bathymetric data collected in the Belfast Bay, Maine pockmark field using a SWATHplus-M interferometric sonar in 2006 and 2008, by the U.S. Geological Survey (32-bit floating point raster, UTM 19 WGS 84, MLLW)

The U.S. Geological Survey, Woods Hole Coastal and Marine Science Center in cooperation with the University of Maine mapped approximately 50 square kilometers of the seafloor within Belfast Bay, Maine. Three geophysical surveys conducted in 2006, 2008 and 2009 collected swath bathymetric (2006 and 2008) and chirp seismic reflection profile data (2006 and 2009). The project characterized the spatial, morphological and subsurface variability of the Belfast Bay, Maine pockmark field. Pockmarks are large seafloor depressions that are associated with seabed fluid escape.

Tags: 2006, 2008, atlantic-ocean, bathymetry, belfast-bay, cmhrp, coastal-and-marine-hazards-and-resources-program, department-of-the-interior, doi, elevation, field-activity-2006-024-fa, field-activity-2008-024-fa, geophysics, geoscientificinformation, geospatial-datasets, geotiff, gulf-of-maine, interferometric-sonar, islesboro, maine, marine-geology, oceans, penobscot-bay, pockmarks, r-v-rafael, sea-floor, seafloor, swathplus-m, u-s-geological-survey, united-states-of-america, university-of-maine, usgs, usgs-5f5f962b82ce3550e3bff23b, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Seismic reflection-tracklines, shotpoints, and profile images collected in the Belfast Bay, Maine pockmark field using an EdgeTech SB-424 subbottom profiler during USGS field activities 2006-024-FA and 2009-037-FA (Esri polyline, and point shapefiles, WGS 84, and JPEG images)

The U.S. Geological Survey, Woods Hole Coastal and Marine Science Center in cooperation with the University of Maine mapped approximately 50 square kilometers of the seafloor within Belfast Bay, Maine. Three geophysical surveys conducted in 2006, 2008 and 2009 collected swath bathymetric (2006 and 2008) and chirp seismic reflection profile data (2006 and 2009). The project characterized the spatial, morphological and subsurface variability of the Belfast Bay, Maine pockmark field. Pockmarks are large seafloor depressions that are associated with seabed fluid escape.

Tags: 2006, 2009, atlantic-ocean, belfast-bay, chirp, cmhrp, coastal-and-marine-hazards-and-resources-program, department-of-the-interior, doi, edgetech, field-activity-2006-024-fa, field-activity-2009-037-fa, geology, geophysics, geoscientificinformation, geospatial-datasets, gulf-of-maine, image, location, maine, navigational-data, oceans, penobscot-bay, pockmarks, rv-rafael, sb-424, sea-floor, seafloor, seismic-navigation, seismic-profile, seismic-reflection, seismic-reflection-methods, shapefile, sub-bottom-profiling, trackline-navigation, u-s-geological-survey, united-states-of-america, university-of-maine, usgs, usgs-5f5f964482ce3550e3bff23f, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Turbidity data collected by five in situ sensors at USGS site 02492620 Pearl River at NSTL station, MS from November 2017 to January 2018.

Contains a collection of in situ data from five commercially available turbidity sensors that were colocated at USGS site 02492620 Pearl River at NSTL station, MS from November 2017 to January 2018

Tags: biota, turbidity, usgs-5f620e0c82ce38aaa235c6dd
Organization: Department of the Interior
Multibeam backscatter data collected in Little Egg Inlet and offshore the southern end of Long Beach Island, NJ, during USGS Field Activity 2018-001-FA, using a dual-head Reson T20-P multibeam echo sounder

The natural resiliency of the New Jersey barrier island system, and the efficacy of management efforts to reduce vulnerability, depends on the ability of the system to recover and maintain equilibrium in response to storms and persistent coastal change. This resiliency is largely dependent on the availability of sand in the beach system. In an effort to better understand the system's sand budget and processes in which this system evolves, high-resolution geophysical mapping of the sea floor in Little Egg Inlet and along the southern end of Long Beach Island near Beach Haven, New Jersey was conducted from May 31 to June 10, 2018, followed by a sea floor sampling survey conducted from October 22 to 23, 2018, as part of a collaborative effort between the U.S. Geological Survey and Stockton University. Multibeam echo sounder bathymetry and backscatter data were collected along 741 kilometers of tracklines (approximately 200 square kilometers) of the coastal sea floor to regionally define its depth and morphology, as well as the type and distribution of sea-floor sediments. Six hundred ninety-two kilometers of seismic-reflection profile data were also collected to define the thickness and structure of sediment deposits in the inlet and offshore. These new data will help inform future management decisions that affect the natural and recreational resources of the area around and offshore of Little Egg Inlet. These mapping surveys provide high-quality data needed to build scientific knowledge of the evolution and behavior of the New Jersey barrier island system.

Tags: backscatter, bathymetry, beach-haven, cmhrp, coastal-and-marine-hazards-and-resources-program, department-of-the-interior, doi, field-activity-number-2018-001-fa, field-activity-number-2018-049-fa, forsythe-wildlife-refuge, geoscientificinformation, geotiff, holgate, imagerybasemapsearthcover, little-egg-inlet, long-beach-island, marine-geology, marine-geophysics, multibeam-backscatter, multibeam-bathymetry, multibeam-echo-sounder, multibeam-sonar, new-jersey, oceans, r-v-petrel, reson, sea-floor, sea-floor-acoustic-reflectivity, seafloor, stockton-university, t20p, u-s-geological-survey, united-states-of-america, usgs, usgs-5f5f97c982ce3550e3bff260, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Multibeam bathymetric data collected in Little Egg Inlet and offshore the southern end of Long Beach Island, NJ, during USGS Field Activity 2018-001-FA, using a dual-head Reson T20-P multibeam echo sounder (32-bit GeoTIFF, UTM Zone 18N, NAD 83, NAVD 88 Vertical Datum, 4-m resolution)

The natural resiliency of the New Jersey barrier island system, and the efficacy of management efforts to reduce vulnerability, depends on the ability of the system to recover and maintain equilibrium in response to storms and persistent coastal change. This resiliency is largely dependent on the availability of sand in the beach system. In an effort to better understand the system's sand budget and processes in which this system evolves, high-resolution geophysical mapping of the sea floor in Little Egg Inlet and along the southern end of Long Beach Island near Beach Haven, New Jersey was conducted from May 31 to June 10, 2018, followed by a sea floor sampling survey conducted from October 22 to 23, 2018, as part of a collaborative effort between the U.S. Geological Survey and Stockton University. Multibeam echo sounder bathymetry and backscatter data were collected along 741 kilometers of tracklines (approximately 200 square kilometers) of the coastal sea floor to regionally define its depth and morphology, as well as the type and distribution of sea-floor sediments. Six hundred ninety-two kilometers of seismic-reflection profile data were also collected to define the thickness and structure of sediment deposits in the inlet and offshore. These new data will help inform future management decisions that affect the natural and recreational resources of the area around and offshore of Little Egg Inlet. These mapping surveys provide high-quality data needed to build scientific knowledge of the evolution and behavior of the New Jersey barrier island system.

Tags: backscatter, bathymetry, beach-haven, cmhrp, coastal-and-marine-hazards-and-resources-program, department-of-the-interior, doi, elevation, field-activity-number-2018-001-fa, field-activity-number-2018-049-fa, forsythe-wildlife-refuge, geoscientificinformation, geotiff, holgate, imagerybasemapsearthcover, little-egg-inlet, long-beach-island, marine-geology, marine-geophysics, multibeam-backscatter, multibeam-bathymetry, multibeam-echo-sounder, multibeam-sonar, new-jersey, oceans, r-v-petrel, reson, sea-floor, sea-floor-acoustic-reflectivity, seafloor, stockton-university, t20p, u-s-geological-survey, united-states-of-america, usgs, usgs-5f5f97ee82ce3550e3bff263, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Input and output data for baseline simulations of streamflow using the Upper Rio Grande Basin Precipitation-Runoff Modeling System (PRMS) and downscaled climate projections

This dataset contains projected climate data (precipitation, maximum temperature, minimum temperature) from 27 climate scenarios used as input to the Precipitation-Runoff Modeling System (PRMS), and baseline PRMS simulated streamflow at 63 sites in the Upper Rio Grande Basin under each of the 27 scenarios. Projected climate data, obtained from the USGS South Central Climate Adaptation Science Center (Wooten, 2020), were generated using three general circulation models, run under three emission scenarios (RCP 2.6, RCP 4.5, RCP 8.5), and downscaled using three different methods (delta SD, equidistant quantile mapping, piecewise asynchronous regression). Together, the three models, RCPs, and downscaling methods resulted in a set of 27 climate projections. Each input climate data file includes precipitation, maximum temperature, and minimum temperature for each hydrologic response unit in the PRMS model. Model output includes 27 files of PRMS simulated projected daily streamflow at 63 sites in the Upper Rio Grande Basin in Colorado, New Mexico, and Texas for the years 1981-2099.

Tags: climate-change, colorado, model, new-mexico, streamflow, streamflow-modeling, texas, upper-rio-grande-river-basin, usgs-5f5fc9d782ce3550e3bff424
Organization: Department of the Interior
Calaveras Reservoir, California, contours, NAVD88 (2019)

Dataset contains shapefiles of contours at 10-foot intervals, spillway crest contour, and dam crest contour of the Calaveras Reservoir, California, based on the bathymetric survey completed in December 2019. Files are provided as geospatial shapefiles and CAD (.dwg file extension) files.  Methodology is described in detail in a previous report of a similar reservoir survey project for the cooperator at a separate reservoir:
Marineau, M.D., Wright, S.A, and Lopez, J.V., 2020, Storage capacity and sedimentation characteristics of the San Antonio Reservoir, California, 2018: U.S. Geological Survey Scientific Investigations Report 2019–5151, 34 p., https://doi.org/10.3133/sir20195151

Tags: alameda-county-california, bathymetry, calaveras-reservoir, inlandwaters, new-calaveras-dam, reservoir, santa-clara-county-california, usgs-5f5fd23b82ce3550e3bff45e
Organization: Department of the Interior