AndreaBozzo/ceres-open-data-index huggingface dataset:
Sound velocity profiles - locations, images, and text files for sound velocity profiles calculated from XBT and CTD casts conducted during USGS field activities 2017-001-FA and 2017-002 FA.

In spring and summer 2017, the U.S. Geological Survey’s Gas Hydrates Project conducted two cruises aboard the research vessel Hugh R. Sharp to explore the geology, chemistry, ecology, physics, and oceanography of sea-floor methane seeps and water column gas plumes on the northern U.S. Atlantic margin between the Baltimore and Keller Canyons. Split-beam and multibeam echo sounders and a chirp subbottom profiler were deployed during the cruises to map water column backscatter, sea-floor bathymetry and backscatter, and subsurface stratigraphy associated with known and undiscovered sea-floor methane seeps. The first cruise, known as  the Interagency Mission for Methane Research on Seafloor Seeps and designated as field activity 2017-001-FA, was conducted from May 4 to May 11, 2017, and acquired geophysical data to support remotely operated vehicle exploration of seep sites using the Global Explorer, which is operated by Oceaneering International, Inc. Geophysical operations during cruise 2017-002-FA from August 25 to September 6, 2017, were also focused on mapping water column methane plumes, sea-floor seep sites, and subseafloor strata, but primarily supported conductivity, temperature, and depth instrument deployment, surface-water methane-concentration mapping, and water-sampling operations as part of a collaborative study with the University of Rochester  of the effect of methane seepage on ocean water biogeochemistry. The National Oceanic and Atmospheric Administration’s Office of Ocean Exploration and Research partially sponsored cruise 2017-001-FA, and the U.S. Department of Energy partially sponsored both cruises.

Tags: accomac-canyon, atlantic-margin, atlantic-ocean, chincoteague-ridge, cmhrp, coastal-and-marine-hazards-and-resources-program, department-of-energy, department-of-the-interior, doe, doi, field-activity-number-2017-001-fa, field-activity-number-2017-002-fa, geoscientificinformation, hrs1704, hrs1713, immerss, interagency-mission-for-methane-research-on-seafloor-seeps, keller-canyon, location, marine-geophysics, national-oceanic-and-atmospheric-administration-office-of-ocean-exploration-and-research, navigational-data, noaa-oer, norfolk-canyon, ocean-sciences, oceanography, oceans, png, profiles, r-v-hugh-r-sharp, seabird-electronics-911plus-ctd, shapefile, sippican-xbt, sound-speed-profile, sound-velocity, sound-velocity-profile, ssp, svp, u-s-geological-survey, united-states-of-america, university-of-rochester, usgs, usgs-5e1e05d7e4b0ecf25c610cc2, washington-canyon, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Geospatial Fabric for the National Hydrologic Model Alaska Domain, version 1

This metadata record documents a geospatial dataset for the U.S. Geological Survey Precipitation Runoff Modeling System (PRMS) used to drive the National Hydrologic Model (NHM). The Alaska Geospatial Fabric v1 is the spatial representation of the hydrologic response units (HRUs) used for the PRMS NHM Alaska domain. These HRUs were generated using the twelve-digit Hydrologic Unit Code (HUC12) watershed from the U.S. Geological Survey's Watershed Boundary Dataset (USGS, 2019), the Natural Resources Canada National Hydrographic Network (NHN) Work Units (NHN, 2019), similar to USGS eight-digit HUC watersheds, and stream gage locations from the U.S. Geological Survey (USGS, 2019) and Natural Resources Canada (NHN, 2019). Watershed-to-watershed routing was added to all Canadian Work Units and updated in twelve-digit HUCs from topographic map examination to ensure connectivity from the headwaters of the domain to the ocean. Watersheds containing one or more stream gages were bisected using standard watershed delineation techniques to ensure accurate contributing area for each gage. Gages near watershed boundaries were not used to bisect the watershed. Following these processing steps, these watersheds became the HRUs used for the initial version of the National Hydrologic Model Alaska Domain. Overlapping watershed vector lines were not unified. The stream gages used for this exercise became the points of interest (POIs) for use in the Alaska Domain. Stream segments used to route water from HRUs to stream outlets were generated using the routing information in the HRUs and the centroids of the HRUs. Please refer to the lineage elements of this metadata record for the above citations.

Tags: alaska, boundaries, canada, geoscientificinformation, inlandwaters, usgs-5e1ded13e4b0ecf25c610c72
Organization: Department of the Interior
Data and rloadest models for daily total nitrogen load for the School Branch Watershed, Hendricks County, Indiana - water years 2016-2018

Total Nitrogen (TN) rloadest models were developed to compute TN flux at School Branch at three USGS monitoring stations: School Branch at Maloney Road near Brownsburg, Indiana (03353415); School Branch at CR750N at Brownsburg, Indiana (03353420); and School Branch at Noble Drive at Brownsburg, Indiana (03353430). Frequently, TN models developed in rloadest regress discrete TN concentrations against concurrent daily mean streamflow values. However, due to the flashy nature of streamflows on School Branch, the developed TN models regressed discrete TN concentrations against the closest unit-value (15-minute) streamflows. Once TN flux models were calibrated, unit-value streamflows were used to estimate average TN fluxes for selected time periods, which in turn were used to compute loads. This data release contains calibration data sets and R code used to create regression models for estimating daily flux of total nitrogen and summary information for the models for each site.

Tags: environment, indiana, midwest, nutrient-content-water, nutrient-loads, nutrient-pollution, statistical-modeling, surface-water-quality, total-nitrogen, usgs-5e1de184e4b0ecf25c610c33, water-quality
Organization: Department of the Interior
Forestry and soil moisture data from Sugarloaf Creek Basin, CA; 1970-2017

The data from Sugarloaf Creek Basin (SCB) in Sequoia Kings Canyon National Park contained herein include forest inventory plots which were installed in 1970 and re-measured in 2017 for tree and shrub inventories; classified vegetation layers produced from raster images collected in 1973 from aerial orthophotos and in 2014 from satellites; spatially-distributed soil moisture measurements made from 2016-2018; and long-term in-situ weather station measurements made from 2016-2018.
The Data directory contains four main data types.
1) In the root Data directory, three tabular data files containing information on trees and other vegetation cover in SCB in 1970 and 2014 (SugarloafForestryPlotData_x.csv)
2) In the root Data directory, one tabular data file containing information on surface soil moisture in SCB from 2016-2018 (SugarloafSoilMoisture.csv)
3) In the Geospatial data directory, two raster files containing vegetation types from classified aerial or satellite imagery (x_veg_classes.tif), one shapefile containing fire perimeters in SCB from 1973-2003 (Sugarloaf Fires 1973-2003.shp) and one tabular file containing point-specific environmental information in SCB (RasterToPointsValues.csv)
4) In the Weather Stations data directory, six tabular data files containing weather station data from three sites at SCB and three sites at Illilouette Creek Basin (ICB) in Yosemite National Park, collected from 2016-2018 (TableX#.csv)

Tags: biota, environment, fires, forest-ecosystems, hydrology, usgs-5e1cdf13e4b0ecf25c5f0c9f
Organization: Department of the Interior
Digital elevation model (DEM) of northern San Francisco Bay, California, created using bathymetry data collected between 1999 and 2016 (NAVD88)

A 1-m  resolution, continuous surface, bathymetric digital elevation model (DEM) of the northern portion of San Francisco Bay, which includes San Pablo Bay, Carquinez Strait, and portions of Suisun Bay, was constructed from bathymetric surveys collected from 1999 to 2016.
In 2014 and 2015 the California Ocean Protection Council (OPC) contracted the collection of bathymetric surveys of large portions of San Francisco Bay. A total of 93 surveys were collected using a combination of multibeam and interferometric side-scan sonar systems. Of those 93 surveys, 75 consist of swaths of data ranging from 18- to just over 100-meters wide. These swaths were separated by data gaps ranging from 10- to just over 300-meters wide. The no-data areas required interpolation to create a continuous surface. The OPC surveys were combined with additional datasets collected by the United States Geological Survey (USGS), National Oceanic and Atmospheric Administration (NOAA), NOAA’s National Ocean Service (NOS), and the United States Army Corps of Engineers (USACE) to create a continuous, high-resolution digital elevation model (DEM). The creation of this DEM refines techniques developed by the USGS to create DEMs from historic bathymetric data, and allow for the creation of a modern-day bathymetric surface that can be compared to earlier surveys to delineate regions of sediment erosion and deposition.

Tags: bathymetry, bathymetry-and-elevation, carquinez-strait, digital-elevation-model-dem-1-meter, digital-elevation-models, elevation, geographic-information-systems, geographic-information-systems-gis, geospatial-datasets, global-positioning-system-gps-observations, gps-measurement, inlandwaters, lidar, lidar-point-cloud-lpc, multibeam-echo-sounder, multibeam-sonar, san-francisco-bay, san-pablo-bay, single-beam-echo-sounder, suisun-bay, topographic-mapping, topography, usgs-5e1cb737e4b0ecf25c5f0bf6
Organization: Department of the Interior
PACIFIC_NORTHWEST_REGION_supporting_attribution_data

This metadata file describes a comma separated values (csv) file of data used to support attribution of trends and change points in annual peak streamflows observed at gages in the Pacific Northwest region. The file includes USGS gage site identification, p value and Kendall Tau statistics for those gage sites.

Tags: datasets, flooding, peak-flow, trends, usgs-5e1cb5f1e4b0ecf25c5f0bf0
Organization: Department of the Interior
Water and Bed Sediment Data Associated with the Occurrence and Distribution of Mercury in Streams and Reservoirs in the Triangle Area of North Carolina, July 2007 - June 2009

As part of the Triangle Area Water Supply Monitoring Program, the U.S. Geological Survey conducted a study to evaluate the occurrence and distribution of mercury in 14 streams and 15 reservoirs in the Triangle area of North Carolina. This Data Release contains the associated data described in the Scientific Investigations Report, "Occurrence and Distribution of Mercury in Streams and Reservoirs in the Triangle Area of North Carolina, July 2007 – June 2009". Water samples were collected seasonally between July 2007 and June 2009 for laboratory analysis of mercury, organic carbon, chlorophyll a, sulfate, and suspended sediment. Field measurements of dissolved oxygen, pH, water temperature, and specific conductance were also conducted at the sites. Bed sediment was sampled at most sites for analysis of mercury, organic carbon, and weight percent of particles smaller than sand-sized (0.0625 millimeters). Quality-assurance samples, including blanks (field, equipment, and ambient) and replicates of all analytes, were collected to quantify bias and precision of the analytical concentrations.

Tags: biota, chatham-county, durham-county, environment, mercury, mercury-analysis, north-carolina, orange-county, usgs-5e1c926fe4b0ecf25c5efd00, wake-county
Organization: Department of the Interior
National Hydrologic Model Alaska Domain parameter database, version 1

This data release contains input data for hydrologic simulations of the Alaska Domain application of the U.S. Geological Survey (USGS) Precipitation Runoff Modelling System (PRMS) as implemented in the National Hydrologic Model (NHM) infrastructure (Regan and others, 2018). The NHM Alaska Domain parameter database consists of 114 parameter files in ASCII format (CSV), two files needed to run the Alaska Domain PRMS (control.fy19deliverable and fy19_deliv.param), two xml files (dimensions.xml and parameters.xml) containing descriptive information about the parameters, and a table that defines each parameter (AK_paramDB_datadictionary.csv). The Entity and Attribute element of this metadata record describe the data dictionary (AK_paramDB_datadictionary.csv). Please refer to the Supplemental Information element of this metadata record for references cited.

Tags: alaska, canada, climatologymeteorologyatmosphere, environment, imagerybasemapsearthcover, inlandwaters, usgs-5e1de736e4b0ecf25c610c44
Organization: Department of the Interior
Watershed Boundaries for the U.S. Geological Survey Regional Stream Quality Assessment

In 2013, the Regional Stream Quality Assessment (RSQA) study was started as part of the U.S. Geological Survey (USGS) National Water Quality Assessment (NAWQA) project. One of the objectives of the RSQA is to characterize the relationships between water-quality stressors and stream ecology and subsequently determine the relative effects of these stressors on aquatic biota within the streams (Garrett and others, 2017; Journey and others, 2015; Coles and others, 2019; Sheibley and others, 2017; May and others, 2020). The study was implemented in five regions across the United States (U.S.); the Midwest (MSQA) in 2013, the Southeast (SESQA) in 2014, the Pacific Northwest (PNSQA) in 2015, the Northeast (NESQA) in 2016, and California (CSQA) in 2017. To meet this objective, a framework of fundamental geospatial data was required to develop physical and anthropogenic characteristics of each study region, sampled sites, and corresponding watersheds and riparian zones. This dataset represents the delineated watersheds for the 492 water-quality sites (including boundaries representing the lower 5 kilometers (km) of watersheds for 180 of the sites) within the five regional study areas sampled for the RSQA and is one of the four fundamental geospatial data layers that were developed for the RSQA study.

Tags: alabama, basin, boundaries, california, connecticut, csqa, drainage-area, drainage-basin, environment, geographic-information-systems, georgia, geoscientificinformation, geospatial-analysis, geospatial-datasets, illinois, indiana, inlandwaters, iowa, kansas, kentucky, massachusetts, midwest, minnesota, missouri, msqa, national-water-quality-assessment, nebraska, nesqa, new-york, north-carolina, northeast, ohio, oregon, pacific-northwest, pennsylvania, pnsqa, regional-stream-quality-assessment, rhode-island, rsqa, sesqa, south-carolina, southeast, tennessee, united-states, usgs-5e2a2e33e4b0a79317cf814f, vermont, virginia, washington, watershed, watershed-boundary, west-virginia, wisconsin
Organization: Department of the Interior
Data for modeling fountain grass and bishop's goutweed in the contiguous US

This data bundle contains the merged data sets to create models for bishop's goutweed and fountaingrass using the VisTrails:SAHM [SAHM 2.1.0]. We developed species distribution models for both species following a workflow designed to balance automation and human intervention to produce models for invasive plant species of concern to U.S. land managers. Location data came from existing databases aggregating species occurrence information. Predictors came from a national library of potential environmental variables based on what environmental factors might limit plant species' distributions in different parts of the U.S. including climatic, topographic, soil, land use, and anthropogenic factors. The outputs of these models and those for other species following the same methods will be available on the Invasive Species Habitat (INHABIT) website (https://gis.usgs.gov/inhabit/dashboard_dev.rmd). Each of the four CSV files contain the exact same fields. The bundle documentation files are:
1) '_archive_bundle_metadata.xml' (this file) which contains FGDC metadata describing the fields in the CSV files
2) 'MDS_fountaingrass_KDEbackground.csv' containing the merged data set used to create the fountaingrass models with background data generated based on a KDE bias surface
3) 'MDS_fountaingrass_targetbackground.csv' merged data set used to create the fountaingrass models with target background data
4) 'MDS_goutweed_KDEbackground.csv' containing the merged data set used to create the bishop's goutweed models with background data generated based on a KDE bias surface
5) 'MDS_goutweed_targetbackground.csv' containing the merged data set used to create the bishop's goutweed models with target background data

Tags: aegopodium-podagraria, biota, fountaingrass, goutweed, habitat-suitability, joshua-tree-national-park, joshua-tree-national-park-ca, pennisetum-setaceum, pictured-rocks-national-lakeshore, pictured-rocks-national-lakeshore-mi, sahm, software-for-assisted-habitat-modeling, species-distribution-modeling, usgs-5e1c8709e4b0ecf25c5efcde, vistrails
Organization: Department of the Interior
Audiomagnetotelluric survey to characterize the Sunnyside porphyry copper system in the Patagonia Mountains, Arizona

This dataset includes audiomagnetotelluric (AMT) sounding data collected in 2008 in and near the Patagonia Mountains of southern Arizona. The U.S. Geological Survey (USGS) conducted a series of multidisciplinary studies as part of the Assessment Techniques for Concealed Mineral Resources project funded by the USGS Minerals Resources Program in cooperation with the U.S. Forest Service. The USGS used AMT data at six sites along a southwest-northeast profile of about 10 kilometers (km) across the northwest-trending Sunnyside porphyry copper system.

Tags: amt, apparent-resistivity, arizona, audiomagnetotelluric, copper, economy, electric-field-earth, geology-geophysics-and-geochemistry-science-center, geophysics, geoscientificinformation, gggsc, gps-measurement, impedance, impedance-phase, impedance-strike, magnetic-field-earth, magnetotelluric, magnetotelluric-surveying, mineral-resources-program, mrp, mt, patagonia-mountains, san-rafael-valley, santa-cruz-county, sounding, sunnyside-porphyry, tipper, usgs-5e19164de4b0ecf25c5bf60a
Organization: Department of the Interior
Suspended-sediment concentrations, acoustic data, and a linear regression model for the Minnesota River at Mankato, Minnesota, 2016-2019

A simple linear regression model was developed and calibrated for the Minnesota River at Mankato, Minnesota (Site Number: 05325000). The linear regression model was calibrated using acoustic and suspended-sediment concentration data collected from 2016 through 2019.The calibrated model will be used to improve understanding of sediment transport processes and increase accuracy of estimating sediment concentrations and loads for the Minnesota River at Mankato, Minnesota.

Tags: minnesota, minnesota-river, sediment-transport, suspended-material-water, usgs-5e188ed1e4b0ecf25c5a34de
Organization: Department of the Interior
Water chemistry data for samples collected at groundwater sites near the Oxnard oil field, June 2017–August 2017, Ventura County, California

In cooperation with the California State Water Resources Control Board’s oil and gas Regional Monitoring Program, the U.S. Geological Survey collected and analyzed groundwater and associated quality control (QC) samples during June 2017 – August 2017. Groundwater samples were collected from one public supply well, four monitoring wells, and nine irrigation wells located within a three- mile buffer zone overlying and surrounding the Oxnard oil field administrative boundary in Ventura County, California. Samples were collected using established groundwater data-collection protocols and procedures. Samples were analyzed for water-quality indicators, major and minor ions, nutrients, trace elements, volatile organic compounds (VOCs), polycyclic aromatic hydrocarbons (PAHs), naturally occurring radioactive material, geochemical and age-dating tracers, dissolved organic carbon (DOC), low molecular weight organic acids, dissolved standard and hydrocarbon gases, and dissolved noble and atmospheric  gases. Approximately 280 constituents and water-quality indicators were measured. Quality-control samples including replicates; source-solution, equipment, and field blanks; laboratory spikes; and split samples for inter-laboratory comparisons were collected and summarized in this data release. A data dictionary was created to describe the data tables and is provided with this data release. Please refer to this data dictionary file called COGG_Data_Dictionary_OxnardGW for definitions of fields within these data files.

Tags: aquifer, california, geochemistry, groundwater, groundwater-aquifer, groundwater-quality, inlandwaters, oxnard-city, oxnard-oil-field, regional-groundwater-monitoring-program, salinity, salinity-mapping, usgs-5e17a2c7e4b0ecf25c59f9ee, ventura-county, water-chemistry
Organization: Department of the Interior
Alamagan, Commonwealth of the Northern Mariana Islands, Nightingale Reed-warbler point transect survey data, 2010

Point transect distance sampling data were collected during the 2010 surveys of Alamagan, Commonwealth of the Northern Mariana Islands (CNMI). Data were collected at points along transects where trained observers recorded the detection type (heard, seen, or heard then seen) and horizontal distance (exact distance in m) from the station center point to individual birds detected during an 8-min count. To increase the numbers of detections, survey data from 40 detections from the CNMI Division of Fish and Wildlife (DFW; 2000) surveys of Alamagan, and 46 detections from Saipan surveys described in Camp et al. (2009) were added to this dataset. The count length of the DFW surveys was only 5 minutes; therefore, we included detections from the first 5 minutes of the 2010 survey. The data set also includes covariates that may influence the detectability of birds.
Camp, R. J., Pratt, T. K., Marshall, A. P., Amidon, F. and Williams, L. (2009) Status and trends of the land bird avifauna on Saipan, Mariana Islands, with emphasis on the endangered Nightingale Reed-warbler (Acrocephalus luscinia). Bird Conservation International 19: 323–337.
Division of Fish and Wildlife (2000) Wildlife and vegetation surveys: Pagan 2000. Technical Report 7. CNMI Division of Fish and Wildlife, Saipan, MP.

Tags: alamagan, commonwealth-of-the-northern-mariana-islands, economy, point-transect-distance-sampling, population-declines, population-status, usgs-5e17810be4b0ecf25c59f90c
Organization: Department of the Interior
Developing Methods Estimating Submersed Aquatic Vegetation Biomass in the Upper Mississippi River

Estimation of submersed aquatic vegetation (SAV) biomass was evaluated using field data collected in 2017, and targeted analyses of three existing data sets: 1) Yin and Kreiling (2001), Drake et al. (2016), and 3) LTRM vegetation data (1998 – 2017).  
Two field studies were completed in 2017.  The first targeted SAV biomass in raked plots and was conducted in collaboration with USFWS annual Lake Onalaska Vallisneria americana monitoring.  In the second study, fresh weights of raked SAV were recorded at approximately 10% of LTRM Pools 4 and 8 2017 sampling sites.

Tags: biomass, biota, mississippi-river, submersed-aquatic-vegetation, upper-mississippi-river, usgs-5e2b0313e4b0a79317cf9500, vegetation
Organization: Department of the Interior