AndreaBozzo/ceres-open-data-index huggingface dataset:
Tracking Data for Marbled Godwit (Limosa fedoa)

This data release includes 2 child items with tracking data for Marbled Godwits, a large-bodied shorebird that, in Alaska, nests in the southwestern portion of the state.
      Child Item 1: "Argos Satellite Tracking Data for Marbled Godwit (Limosa fedoa) - Processed Data" -- Quality-controlled data collected from Argos satellite transmitters.
      Child Item 2: "Argos Satellite Tracking Data for Marbled Godwit (Limosa fedoa) - Raw Data" -- All raw data collected from Argos satellite transmitters, provided for completeness of the archive. The quality-controlled, "Argos Processed Data" (Child Item 1) are better suited for most analytical purposes.

Tags: alaska, animal-tracking, animals-vertebrates, argos, biota, birds, breeding-area, breeding-sites, british-columbia, canada, ecological-dynamics, environment, limosa-fedoa, marbled-godwit, migration, migratory-birds, north-pacific-ocean, overwintering, platform-transmitter-terminal, ptt, sandpipers, satellite-transmitter, seasonal-distribution, seasonal-movement, species-life-history, species-migration, telemetry, tracking-equipment, ugashik, usgs-5d4473cde4b01d82ce8dbbb0, wildlife, wintering-area
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Central California v3.1 wave-hazard projections: 20-year storm in San Mateo County

This data contains maximum model-derived significant wave height (in meters) for the sea-level rise (SLR) and storm condition indicated. 
The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. Projections for CoSMoS v3.1 in Central California include flood-hazard information for the coast from Pt. Conception to the Golden Gate. Outputs include SLR scenarios of 0.0, 0.25, 0.5, 0.75, 1.0, 1.5, 2.0, 2.5, 3.0, and 5.0 meters; storm scenarios include background conditions (astronomic spring tide and average atmospheric conditions) and simulated 1-year/20-year/100-year return interval coastal storms. Methods and processes used in Central California are replicated from and described in O'Neill and others (2018).Please read metadata and inspect output carefully.  Data are complete for the information presented.
      

Tags: beaches, central-california, central-california-coast, climate-change, climatologymeteorologyatmosphere, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-erosion, earth-sciences, effects-of-climate-change, erosion, extreme-weather, floods, hazards-planning, mathematical-modeling, ocean-waves, ocean-winds, oceans, pacific-coastal-and-marine-science-center, pcmsc, physical-habitats-and-geomorphology, san-mateo-county, sea-level-change, sea-level-rise, state-of-california, storm-surge, storms, u-s-geological-survey, usgs, usgs-5d446e66e4b01d82ce8dbb43, water-depth, waves, wind
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Central California v3.1 flood depth and duration projections: average conditions in San Mateo County

This data contains maximum depth of flooding (cm) in the region landward of the present-day shoreline for the sea-level rise (SLR) and storm condition indicated. 
The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. Projections for CoSMoS v3.1 in Central California include flood-hazard information for the coast from Pt. Conception to the Golden Gate. Outputs include SLR scenarios of 0.0, 0.25, 0.5, 0.75, 1.0, 1.5, 2.0, 2.5, 3.0, and 5.0 meters; storm scenarios include background conditions (astronomic spring tide and average atmospheric conditions) and simulated 1-year/20-year/100-year return interval coastal storms. Methods and processes used in Central California are replicated from and described in O'Neill and others (2018).Please read metadata and inspect output carefully.  Data are complete for the information presented.
      

Tags: beaches, central-california, central-california-coast, climate-change, climatologymeteorologyatmosphere, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-erosion, earth-sciences, effects-of-climate-change, erosion, extreme-weather, floods, hazards-planning, mathematical-modeling, ocean-waves, ocean-winds, oceans, pacific-coastal-and-marine-science-center, pcmsc, physical-habitats-and-geomorphology, san-mateo-county, sea-level-change, sea-level-rise, state-of-california, storm-surge, storms, u-s-geological-survey, usgs, usgs-5d446e31e4b01d82ce8dbb38, water-depth, waves, wind
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Central California v3.1 flood depth and duration projections: 20-year storm in San Mateo County

This data contains maximum depth of flooding (cm) in the region landward of the present-day shoreline for the sea-level rise (SLR) and storm condition indicated. 
The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. Projections for CoSMoS v3.1 in Central California include flood-hazard information for the coast from Pt. Conception to the Golden Gate. Outputs include SLR scenarios of 0.0, 0.25, 0.5, 0.75, 1.0, 1.5, 2.0, 2.5, 3.0, and 5.0 meters; storm scenarios include background conditions (astronomic spring tide and average atmospheric conditions) and simulated 1-year/20-year/100-year return interval coastal storms. Methods and processes used in Central California are replicated from and described in O'Neill and others (2018).Please read metadata and inspect output carefully.  Data are complete for the information presented.
      

Tags: beaches, central-california, central-california-coast, climate-change, climatologymeteorologyatmosphere, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-erosion, earth-sciences, effects-of-climate-change, erosion, extreme-weather, floods, hazards-planning, mathematical-modeling, ocean-waves, ocean-winds, oceans, pacific-coastal-and-marine-science-center, pcmsc, physical-habitats-and-geomorphology, san-mateo-county, sea-level-change, sea-level-rise, state-of-california, storm-surge, storms, u-s-geological-survey, usgs, usgs-5d446d4fe4b01d82ce8dbb23, water-depth, waves, wind
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Central California v3.1 flood depth and duration projections: 100-year storm in San Mateo County

This data contains maximum depth of flooding (cm) in the region landward of the present-day shoreline for the sea-level rise (SLR) and storm condition indicated. 
The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. Projections for CoSMoS v3.1 in Central California include flood-hazard information for the coast from Pt. Conception to the Golden Gate. Outputs include SLR scenarios of 0.0, 0.25, 0.5, 0.75, 1.0, 1.5, 2.0, 2.5, 3.0, and 5.0 meters; storm scenarios include background conditions (astronomic spring tide and average atmospheric conditions) and simulated 1-year/20-year/100-year return interval coastal storms. Methods and processes used in Central California are replicated from and described in O'Neill and others (2018).Please read metadata and inspect output carefully.  Data are complete for the information presented.
      

Tags: beaches, central-california, central-california-coast, climate-change, climatologymeteorologyatmosphere, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-erosion, earth-sciences, effects-of-climate-change, erosion, extreme-weather, floods, hazards-planning, mathematical-modeling, ocean-waves, ocean-winds, oceans, pacific-coastal-and-marine-science-center, pcmsc, physical-habitats-and-geomorphology, san-mateo-county, sea-level-change, sea-level-rise, state-of-california, storm-surge, storms, u-s-geological-survey, usgs, usgs-5d446d19e4b01d82ce8dbb1d, water-depth, waves, wind
Organization: Department of the Interior
U.S. Geological Survey Precipitation Chemistry Quality Assurance Project Data 2017 – 2018

The USGS Precipitation Chemistry Quality Assurance Project (PCQA) operates QA programs to challenge and test the National Atmospheric Deposition Program (NADP) data-collection processes for both the National Trends Network (NTN) and Mercury Deposition Network (MDN).  PCQA data are available in separate tables for each quality-assurance program:  (1) NTN Interlaboratory-comparison, (2) MDN Interlaboratory-comparison program, (3) NTN Field-Audit program, (4) MDN System-Blank program, and (5) NTN Co-located Sampler program.  Measured parameters include precipitation depth, pH, specific conductance, and ion concentrations for calcium, magnesium, sodium, potassium, ammonium, chloride, bromide, nitrate, sulfate, phosphate, and total mercury.

Tags: atmospheric-sciences, chemical-analysis, usgs-5d4350a1e4b01d82ce8db2cd
Organization: Department of the Interior
Orthophoto derived from UAS imagery for Bluffton Native Habitat Waterway, Indiana, 20160907

A high resolution (3 cm) orthophoto of the Bluffton [Indiana] Native Habitat Waterway bottomland restoration site was generated to complement field vegetation data collected in 2015 and 2016. Aerial images were collected on 07 September, 2016 using Unoccupied Aerial Systems (UAS, or "drones"). Data were processed using photogrammetry to generate a three dimensional point cloud that identifies pixels from multiple images representing the same object and calculates the x, y, and z coordinates of that object/pixel. The point cloud was processed to create a digital surface model of the site (6 cm resolution). Finally, source images were stitched together based on shared pixels and orthoganally adjusted to the digital surface model to create a high resolution (approximately 3 cm) orthoimage for the study area.

Tags: bluffton, elevation, imagerybasemapsearthcover, indiana, usgs-5d433b94e4b01d82ce8db221, wells-county
Organization: Department of the Interior
Microbial Source Tracking Marker Concentrations in Congaree National Park in 2017-2019, South Carolina, USA

The dataset contains quantitative polymerase chain reaction data for microbial source tracking markers screened on water samples collected from streams and rivers within and bounding Congaree National Park from samples collected throughout the year from December 2017 through June 2019.  The number of samples collected per event ranged from 4-16 over the span of 11 sample events.

Tags: congaree, environment, parks, polymerase-chain-reaction, usgs-5d4333a6e4b01d82ce8db19c, wateree
Organization: Department of the Interior
Assessing Nest Attentiveness of Common Terns (Sterna hirundo) via Video Cameras and Temperature Loggers

While nest attentiveness plays a critical role in the reproductive success of avian species, little is known regarding the nest attentiveness patterns of many species during incubation. However, improvements in both video monitoring and temperature logging devices present an opportunity to improve our understanding of this aspect of avian behavior. To evaluate the ability of these technologies to document fine scale behaviors during incubation we monitored 13 nests across two Common Tern (Sterna hirundo) breeding colonies with a paired video camera - temperature logger approach, while monitoring 63 additional nests with temperature loggers alone. We also monitored nests and recorded hatching success, allowing us to asses the impacts of these devices.

Tags: animal-behavior, chesapeake-bay, isle-of-wight-bay, usgs-5d432b68e4b01d82ce8db123
Organization: Department of the Interior
USGS National and Global Oil and Gas Assessment Project-San Joaquin Basin Province, Monterey Formation Assessment Unit Boundaries

The Assessment Unit is the fundamental unit used in the National Assessment Project for the assessment of undiscovered oil and gas resources.  The Assessment Unit is defined within the context of the higher-level Total Petroleum System.  The Assessment Unit is shown herein as a geographic boundary interpreted, defined, and mapped by the geologist responsible for the province and incorporates a set of known or postulated oil and (or) gas accumulations sharing similar geologic, geographic, and temporal properties within the Total Petroleum System, such as source rock, timing, migration pathways, trapping mechanism, and hydrocarbon type.  The Assessment Unit boundary is defined geologically as the limits of the geologic elements that define the Assessment Unit, such as limits of reservoir rock, geologic structures, source rock, and seal lithologies.  The only exceptions to this are Assessment Units that border the Federal-State water boundary.  In these cases, the Federal-State water boundary forms part of the Assessment Unit boundary.

Tags: assessment-unit, california, continuous-assessment-unit, earth-science, economic-geology, energy-resources, geology, geoscientificinformation, monterey-buttonwillow, monterey-maricopa, national-assessment-of-oil-and-gas, natural-gas, natural-gas-resources, natural-resources, noga2000, oil, oil-resources, oilgas, province-10, resource-assessment, san-joaquin, san-joaquin-basin, u-s-a, u-s-geological-survey, unconventional-assessment-unit, united-states, usgs, usgs-5d42fea5e4b01d82ce8daf78, usgs-world-energy-region-5
Organization: Department of the Interior
Data on well characteristics and well-pair characteristics for estimating high groundwater levels in selected areas of Massachusetts

A method to estimate the probable high groundwater level in Massachusetts, excluding Cape Cod and the Islands was developed in 1981. The method, commonly called the “Frimpter Method,” uses a groundwater measurement from a test site, groundwater measurements from an index well, and a distribution of high groundwater levels from wells in similar geologic and topographic settings.
Historic groundwater-level statistics (maximum and 90th percentile groundwater level and annual groundwater-level range) were calculated for 153 wells in Massachusetts and nearby States to update the method inputs.
In addition, as part of a comparison of approaches to determine the best index well for a given site, a multiple linear regression equation was developed to explore the relations between predictor variables and the correlations, with the goal of predicting the most highly correlated index well for each test site. This data release includes the calculated groundwater level statistics, the ancillary data used in the regression model, comparison of the data among well pairs, and predictions of the correlations among all well pairs.

Tags: glacial-till, groundwater, groundwater-level, hydrogeology, stratified-glacial-sediment, usgs-5d42fe96e4b01d82ce8daf72, waste-treatment-and-disposal, wastewater-discharge
Organization: Department of the Interior
09487000 - Brawley Wash near Three Points, AZ - 2018/09/19 GPS Survey

The dataset contains GPS survey data from two surveys conducted after a flow event on September 19, 2018, at the USGS streamgage 09487000 - Brawley Wash near Three Points, AZ. The first survey, on October 1, 2018, documents cross section geometry and high-water marks from the flow event in the reach downstream from the gage. The second survey, on January 31, 2019, documents additional high-water marks and provides ground control for a small unmanned aircraft system survey. The surveys were performed using Leica GS14 RTK GPS equipment, S/N base-2806898, S/N rover-2806883.

Tags: brawley-wash, flood-stage, gps, high-water-marks, pima-county, three-points-az, usgs-5d49e55de4b01d82ce8de9cf
Organization: Department of the Interior
Martin LEAN-Corrected Chesapeake Bay Digital Elevation Models, 2019

Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation model (DEM) for area surrounding the Martin National Wildlife Refuge in Chesapeake Bay using a modification of the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). GPS survey data (3699 points, collected across four tidal marsh sites in Chesapeake Bay (Eastern Neck, Martin, Bishops Head, and Blackwater) in 2010 and 2017. Normalized Difference Vegetation Index (NDVI) derived from an airborne multispectral image (2013) and a 1 m lidar DEM and a 1 m canopy surface model were used to generate models of predicted bias across the study domain. The modeled predicted bias for each cover type was then subtracted from the original lidar DEM to generate a new DEM.  Across all GPS points, mean initial lidar error was -1.0 cm (SD of 12.8) and root-mean squared error (RMSE) was 12.8 cm. After correction with LEAN, mean error was 0 cm (SD of 6.4) and RMSE was 6.4 cm, a 50 percent improvement in accuracy.
References:
Buffington, K.J., Dugger, B.D., Thorne, K.M. and Takekawa, J.Y., 2016. Statistical correction of lidar-derived digital elevation models with multispectral airborne imagery in tidal marshes. Remote Sensing of Environment, 186, pp.616-625.     

Tags: biota, digital-elevation-models, estuary, lidar, usgs-5d421be4e4b01d82ce8da909, wetlands
Organization: Department of the Interior
Eastern Neck LEAN-Corrected Chesapeake Bay Digital Elevation Models, 2019

Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation model (DEM) for the area surrounding the Eastern Neck National Wildlife Refuge in Chesapeake Bay using a modification of the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). GPS survey data (3699 points, collected across four tidal marsh sites in Chesapeake Bay (Eastern Neck, Martin, Bishops Head, and Blackwater) in 2010 and 2017. Normalized Difference Vegetation Index (NDVI) derived from an airborne multispectral image (2013) and a 1 m lidar DEM and a 1 m canopy surface model were used to generate models of predicted bias across the study domain. The modeled predicted bias for each cover type was then subtracted from the original lidar DEM to generate a new DEM.  Across all GPS points, mean initial lidar error was -1.0 cm (SD of 12.8) and root-mean squared error (RMSE) was 12.8 cm. After correction with LEAN, mean error was 0 cm (SD of 6.4) and RMSE was 6.4 cm, a 50 percent improvement in accuracy. 
References:
Buffington, K.J., Dugger, B.D., Thorne, K.M. and Takekawa, J.Y., 2016. Statistical correction of lidar-derived digital elevation models with multispectral airborne imagery in tidal marshes. Remote Sensing of Environment, 186, pp.616-625.     

Tags: biota, digital-elevation-models, estuary, lidar, usgs-5d421ba1e4b01d82ce8da907, wetlands
Organization: Department of the Interior
Blackwater LEAN-Corrected Chesapeake Bay Digital Elevation Models, 2019

Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation model (DEM) for the area surrounding Blackwater National Wildlife Refuge in Chesapeake Bay using a modification of the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). GPS survey data (3699 points, collected across four tidal marsh sites in Chesapeake Bay (Eastern Neck, Martin, Bishops Head, and Blackwater) in 2010 and 2017. Normalized Difference Vegetation Index (NDVI) derived from an airborne multispectral image (2013) and a 2 m lidar DEM and a 2 m canopy surface model were used to generate models of predicted bias across the study domain. The modeled predicted bias for each cover type was then subtracted from the original lidar DEM to generate a new DEM.  Across all GPS points, mean initial lidar error was -1.0 cm (SD=12.8) and root-mean squared error (RMSE) was 12.8 cm. After correction with LEAN, mean error was 0 cm (SD=6.4) and RMSE was 6.4 cm, a 50 percent improvement in accuracy. 
References:
Buffington, K.J., Dugger, B.D., Thorne, K.M. and Takekawa, J.Y., 2016. Statistical correction of lidar-derived digital elevation models with multispectral airborne imagery in tidal marshes. Remote Sensing of Environment, 186, pp.616-625.     

Tags: biota, digital-elevation-models, estuary, lidar, usgs-5d421a67e4b01d82ce8da902, wetlands
Organization: Department of the Interior
Lotic vs. Lentic Water: a U.S. national 30-meter raster classification of water areas by velocity

This dataset consists of a national 30-meter raster which classifies pixels representing water from the National Land Cover Database 2016 (NLCD 2016) according to their estimated velocity regime.  At the broadest classification, the data are mapped into two groups: “Lentic”, representing water bodies such as lakes, ponds, oceans, and bays, and “Lotic”, representing flowing water, such as streams, rivers, and canals.  These are further broken into 12 subordinate classes ordered according to velocity. These include categories of retention time for water in lakes/ponds and flow velocity for streams/rivers. The classes are derived based on information from the NHD High- and Medium-Resolution databases.  Of the 470.7 million water pixels in the NLCD, approximately 143 million are classified as ocean/bay/estuary (30%), 295 million as lakes/ponds/reservoirs (63%), and 32 million as streams/rivers/canals (7%).  The dataset allows users to better characterize the nature of flowing and non-flowing water when using the NLCD.

Tags: lake-retention-time, lakes-and-ponds, lentic-water, lotic-water, national-land-cover-dataset, stream-velocity, streams-and-rivers, usgs-5d420fbde4b01d82ce8da8e9
Organization: Department of the Interior
Data Dictionary for Electron Microprobe Data Collected with Probe for EPMA Software Package Developed by Probe Software

This data dictionary describes most of the possible output options given in the Probe for EPMA software package developed by Probe Software.   Examples of the data output options include sample identification, analytical conditions, elemental weight percents, atomic percents, detection limits, and stage coordinates.  Many more options are available and the data that is output will depend upon the end use.

Tags: electron-microprobe, electron-probe-microanalysis, epma, geology-geophysics-and-geochemistry-science-center, gggsc, mineral-resources-program, mrp, usgs-5d461c8be4b01d82ce8dc641
Organization: Department of the Interior
Microplastics in the surficial benthic sediment from Lake Michigan and Lake Erie, 2013 and 2014

This dataset describes the quantity, morphology, concentration and polymer identity of microplastics in surficial benthic sediment of Lake Michigan and Lake Erie. Lake Michigan sediment samples were collected at 20 locations in September, 2013 and Lake Erie sediment samples were collected at 12 locations in September, 2014 while on-board the R.V. Lake Guardian. Sampling and analysis methods are described in the Processing Steps section of the metadata.

Tags: contamination-and-pollution, lake-erie, lake-michigan, nonpoint-source-pollution, usgs-5d4203c6e4b01d82ce8da886
Organization: Department of the Interior