AndreaBozzo/ceres-open-data-index huggingface dataset:
2015 high resolution seismic acquisition at Dos Palmas Preserve, Mecca, California

In March 2015, the U.S. Geological Survey acquired seismic reflection and refraction data along an approximately 2.8-km-long profile across northwest-trending San Andreas Fault splays located at the Dos Palmas Preserve east of Salton Sea. To acquire the reflection and refraction data, we collocated shots and geophones, spaced every 3 m along the profile.  We used 933 SercelTM L40A P-wave (40-Hz vertical-component) geophones with a sensitivity of 22.34 volts/meter/second to record 925 P-wave shots. We generated P-wave data using one of two active sources: 400-grain Betsy-SeisgunTM shots at approximately every 90 m and a 3.5-kg sledgehammer and steel plate combination at every 3 m between the seisgun shots. All data were recorded using four 60-channel Geometrics Stratavisor NX-60TM seismographs with a 24-bit analog-to-digital converter (Subcommittee of the SEG Engineering and Groundwater Geophysics Committee, 1990); the seismographs were connected to the P-wave geophones via refraction cables. Each shot was recorded for two seconds, with data recording starting 100 ms before the actual time of the shot.  Data were recorded at a sampling rate of 0.5 ms, or 2000 samples per second. This report provides the metadata needed to utilize the seismic data. 
Reference: Subcommittee of the SEG Engineering and Groundwater Geophysics Committee, Pullan, S. E., Chairman, 1990, Recommended standard for seismic (/radar) data files in the personal computer environment: Geophysics, vol. 55, no. 9, p. 1260-1271.

Tags: dos-palmas-spring, earthquake-hazards, faulting-geologic, groundwater, groundwater-flow, mecca, salton-sea, seismic-reflection-methods, seismic-refraction-methods, seismology, usgs-5b47e298e4b060350a176ff3
Organization: Department of the Interior
Sediment Deposition on Floodplains and Point Bars of Powder River in Southeastern Montana from 1979 through 2017

This data release consist of the annual sediment depositional volume at five floodplain and five point bar sites on Powder River in southeastern Montana from 1979 through 2017.  These 10 sites are a subgroup of a larger group of cross-sections established in 1975 and 1977 to monitor the channel changes along a 90-kilometer reach of Powder River.   In addition to the sediment deposition data, characteristic of the annual peak flood are listed. The data are in 1 Excel files containing worksheets (10) corresponding to each channel cross-section .

Tags: channel, deposition, erosion, flood, geomorphology, high-plains, hydrology, powder-river, powder-river-basin, powder-river-county, southeastern-montana, usgs-5b47d429e4b060350a176fc9
Organization: Department of the Interior
Simulated orthophosphate concentrations as a function of season and flow for 53 monitoring stations in the Chesapeake Bay watershed for the years 2006 and 2014

This data release contains simulated orthophosphate concentrations (milligrams per liter) as a function of year, season, and flow for 53 monitoring stations in the Chesapeake Bay watershed. These data were generated for a study published in Science of the Total Environment (https://doi.org/10.1016/j.scitotenv.2018.10.062). They were extracted from the Weighted Regressions in Time, Discharge and Season (WRTDS; Hirsch et al. 2010) models developed for each monitoring station using two functions in the EGRET R package: the flowDuration function and the plotConcTimeSmooth function. The flowDuration function in the EGRET package (Hirsch and DeCicco, 2015) was used to quantify the 5th and 95th percentile flows to represent low and high flows, respectively, for each season at each watershed.  These discharge values are then used as input for the plotConcTimeSmooth function, along with a date to represent the midpoint of each calendar year season (January-March = winter, etc.).  The midpoints for the seasons were 15-February, 15-May, 15-August, and 15-November for the winter, spring, summer, and fall seasons, respectively.  The plotConcTimeSmooth function provides estimates of concentration for those dates at those flows for all years included in the analysis.  Simulated concentrations for the years 2006 and 2014 were extracted from this output, and are the only years included in this data release. 
Sources: 
Hirsch, R.M., Moyer, D.L., and Archfield, S.A., 2010, Weighted regressions on time, discharge, and season (WRTDS), with an application to Chesapeake Bay river inputs: Journal of the American Water Resources Resources Association, v. 46, no. 5, p. 857-880
Hirsch, R.M. and De Cicco, Laura, 2015, User guide to Exploration and Graphics for RivEr Trends (EGRET) and dataRetrieval: R packages for hydrologic data (version 2.0, February 2015): U.S. Geological Survey Techniques and Methods book 4, chap. A10, 93 p., http://dx.doi.org/10.3133/tm4A10.(accessed May 24, 2018)

Tags: agriculture, biota, chesapeake-bay, nutrients, orthophosphate, phosphorus, usgs-5b477927e4b060350a1762ac, water-quality
Organization: Department of the Interior
Protein Phosphatase 2A screening of extracted sediments for samples collected for the Sediment-Bound Contaminant Resiliency and Response Strategy pilot study, northeastern United States, 2015.

Coastal communities are uniquely vulnerable to sea-level rise and severe storms such as hurricanes. These events enhance the dispersion and concentration of natural and anthropogenic chemicals and pathogenic microorganisms that could adversely affect the health and resilience of coastal communities and ecosystems in subsequent years. The U.S. Geological Survey has developed the Sediment-Bound Contaminant Resiliency and Response (SCoRR) strategy to define baseline and post-event sediment-bound environmental health stressors. These data document the results from protein phosphatase 2A screening of extracts for selected stations in the northeastern U.S. during the 2015 pilot implementation of the SCoRR strategy in response to Hurricane Joaquin and the 2015 South Carolina flood events.

Tags: assessment, chemical-analysis, coastal, connecticut, contaminants, contamination, delaware, district-of-columbia, environmental-health, estuarine, field-monitoring-stations, field-sampling, floodplain, intertidal, maine, maryland, massachusetts, new-hampshire, new-jersey, new-york, pennsylvania, pollution, pp2a, protein-phosphatase-inhibition, rhode-island, sediment, sediment-analysis, soil, south-carolina, surface, usgs-5b467b0ce4b060350a15c7aa, virginia
Organization: Department of the Interior
Fourier Transform Infrared (FTIR) screening of extracted sediments for samples collected for the Sediment-Bound Contaminant Resiliency and Response Strategy pilot study, northeastern United States, 2015

Coastal communities are uniquely vulnerable to sea-level rise and severe storms such as hurricanes. These events enhance the dispersion and concentration of natural and anthropogenic chemicals and pathogenic microorganisms that could adversely affect the health and resilience of coastal communities and ecosystems in subsequent years. The U.S. Geological Survey has developed the Sediment-Bound Contaminant Resiliency and Response (SCoRR) strategy to define baseline and post-event sediment-bound environmental health stressors. These data document the mid-range Fourier transform infrared (FTIR) spectra and absorbance measurements as a function of wavelength with and without spectral corrections for selected stations in the northeastern U.S. during the 2015 pilot implementation of the SCoRR strategy in response to Hurricane Joaquin and the 2015 South Carolina flood events.

Tags: assessment, chemical-analysis, coastal, connecticut, contaminants, contamination, delaware, district-of-columbia, environmental-health, estuarine, field-monitoring-stations, field-sampling, floodplain, fourier-transform-infrared, ftir, intertidal, maine, maryland, mass-spectroscopy, massachusetts, new-hampshire, new-jersey, new-york, pennsylvania, pollution, rhode-island, sediment, sediment-analysis, soil, south-carolina, surface, usgs-5b46782ae4b060350a15c7a0, virginia
Organization: Department of the Interior
Linking the Agricultural Landscape of the Midwest to Stream Health with Structural Equation Modeling: Model Input Data

Biological, chemical, physical habitat, riparian, and land-use data collected from the Midwest streams by the National Water Quality Project Regional Stream Quality Team. Data were used to develop structural equation models for the purpose of understanding how networks of potential stressors influence stream ecological health. For more information about the Midwest Regional Stream Quality Assessment please go to https://pubs.er.usgs.gov/publication/fs20123124

Tags: agriculture, algae, biota, ecological-condition, fish, habitat, illinois, indiana, invertebrate, iowa, kansas, kentucky, land-use, michigan, midwest-united-states, minnesota, missouri, multiple-stressors, nebraska, ohio, pesticides, south-dakota, urban, usgs-5b463148e4b060350a15a836, wisconsin
Organization: Department of the Interior
Data from: Broad-scale occurrence of a subsidized avian predator: reducing impacts of ravens on sage-grouse and other sensitive prey

Predictions of raven occurrence intersected with high impact areas for sage-grouse populations. The index highlights regions where elevated raven occurrence is likely to impact breeding sage-grouse

Tags: biota, geographic-information-systems-gis, geospatial-analysis, habitat-alteration, human-impacts, occupancy-model, predator-prey-interactions, sensitive-prey, shrublands, usgs-5b461190e4b060350a14eefc, wildlife
Organization: Department of the Interior
Data from: Broad-scale occurrence of a subsidized avian predator: reducing impacts of ravens on sage-grouse and other sensitive prey

An index of anthropogenic influences on raven populations. Raven point counts were related to landscape covariates using Bayesian hierarchical occupancy models and the means of the posterior distributions for relevant effects were used to generate the predictions.

Tags: biota, geographic-information-systems-gis, geospatial-analysis, habitat-alteration, human-impacts, occupancy-model, predator-prey-interactions, sensitive-prey, shrublands, usgs-5b4610d0e4b060350a14eaa7, wildlife
Organization: Department of the Interior
Data from: Broad-scale occurrence of a subsidized avian predator: reducing impacts of ravens on sage-grouse and other sensitive prey

Predictions of raven occurrence in the absence of anthropogenic environmental effects. Raven point counts were related to landscape covariates using Bayesian hierarchical occupancy models and the means of the posterior distributions for relevant effects were used to generate the predictions.

Tags: biota, geographic-information-systems-gis, geospatial-analysis, habitat-alteration, human-impacts, occupancy-model, predator-prey-interactions, sensitive-prey, shrublands, usgs-5b461088e4b060350a14e941, wildlife
Organization: Department of the Interior
Data from: Broad-scale occurrence of a subsidized avian predator: reducing impacts of ravens on sage-grouse and other sensitive prey

Predictions of raven occurrence in the absence of natural environmental effects. Raven point counts were related to landscape covariates using Bayesian hierarchical occupancy models and the means of the posterior distributions for relevant effects were used to generate the predictions.

Tags: biota, geographic-information-systems-gis, geospatial-analysis, habitat-alteration, human-impacts, occupancy-model, predator-prey-interactions, sensitive-prey, shrublands, usgs-5b461046e4b060350a14e874, wildlife
Organization: Department of the Interior
Organic contaminants, including hormones, pesticides, pharmaceuticals and other endocrine disrupting compounds, and estrogenicity data in select surface water samples as well as organic contaminants in bed sediment samples collected in Chesapeake Bay watershed in parts of Maryland, Pennsylvania, and West Virginia, 2012-2018 (ver. 2.0, August 2020)

These data represent surface water and bed sediment samples analyzed for a variety of organic compounds. The samples were collected in streams and rivers in the Chesapeake Bay watershed from 2012-2018. Sites were located in Maryland, Pennsylvania, and West Virginia. Surface water samples were collected from 25 sites and analyzed for estrogenicity and an extensive suite of organic contaminants including hormones, pharmaceuticals, wastewater indicators, pesticides, phytoestrogens, and mycotoxins. Bed sediment samples were collected from 20 sites and analyzed for a suite of organic contaminants including hormones, wastewater indicators, pesticides, and organohalogens. Bed sediment was also analyzed for total organic carbon. Data also include replicate and blank quality assurance samples. This U.S. Geological Survey (USGS) data release contains daily-mean streamflow and water-quality data in the Chesapeake Bay watershed ranging from 2012 to 2018 (beginning and end dates may vary).

Tags: androgen, caffeine-nicotine, chesapeake-bay, endocrine-disruption, estrogen, flame-retardant, fungicide, herbicide, hormones, insecticide, pesticide, pharmaceutical, plant-animal-biochemical-pab, plasticizer, polychlorinated-biphenyl, polycyclic-aromatic-hydrocarbon, potomac-river, progesterone, progestin, susquehanna-river, usgs-5b45f67de4b060350a142c92, water-quality
Organization: Department of the Interior
Data collected in 2008-2010 to evaluate juvenile salmon and forage fish use of eelgrass on the Skagit River Delta, Washington State, USA

Data are abundance and body size (length) of juvenile salmon, forage fish, and other species captured with a lampara net in eelgrass and nearby unvegetated habitat on the Skagit River Delta monthly, April-September, 2008-2010, as well as vegetation status, water depth, temperature, salinity, and clarity for each fish netting event.

Tags: biota, ecology, environment, estuarine, fish, habitat-alteration, major-river-delta, oceans, puget-sound, skagit, usgs-5b45380fe4b060350a140b7b
Organization: Department of the Interior
Sensor data from debris-flow experiments conducted in May, 2017, at the USGS debris-flow flume, HJ Andrews Experimental Forest, Blue River, Oregon

The files consist of two types: tabulated data files and graphical map files. Data files consist of three .csv files, representing three experiment dates (2017_05_23, 2017_05_24, 2017_05_25). Each of these files contains multiple columns of data, with each column representing either a time measurement or the value of a physical quantity measured at that time (e.g., flow depth, pore pressure, normal stress, etc.). Map files consist of three .pdf files, each representing an experiment date listed above. The maps show the thickness of  the sediment deposited onto the runout pad after each experiment. Sediment thickness was determined using photogrammetery software from Agisoft.

Tags: avalanche, blue-river-oregon, debris-flow, landslide, lat-44-2145-deg-n-long-122-254-deg-w, seismic, usgs-5b44ee03e4b060350a1408f1
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2016 Site 0241 land-water classification data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 390 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2016 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Three previous assessments have been conducted (2005, 2008, and 2012). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-5b5f5220e4b006a11f66ea05, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Intersection points used to calculate rate of shoreline change statistics for New York State coastal wetlands

This data set contains intersection points used to compute rate of change statistics for New York State coastal wetlands.   Analysis was performed in ArcMap 10.5.1 using historical vector shoreline data from the National Oceanic and Atmospheric Administration (NOAA). Rate of change statistics were calculated using the Digital Shoreline Analysis System (DSAS), created by U.S. Geological Survey, version 5.0.  End-point rates, calculated by dividing the distance of shoreline movement by the time elapsed between the oldest and the most recent shoreline, were generated for wetlands where fewer than three historic shorelines were available.  Linear regression rates, determined by fitting a least-squares regression line to all shoreline points for a particular transect, were used in areas where three or more shorelines were present. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software.  The transects intersect each shoreline establishing the intersection measurement points presented here, which were then used to calculate the rates.

Tags: coastal-processes, digital-shoreline-analysis-system, end-point-rate, erosion, estuary, great-south-bay, hudson-river, jamaica-bay, linear-regression-rate, new-york, new-york-bay, new-york-state, peconic-bay, shoreline-accretion, shoreline-change-rate, u-s-geological-survey, united-states, usgs-5b439b99e4b060350a127013, wetland-ecosystems, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Baselines used to calculate rate of shoreline change statistics for New York State coastal wetlands

This data set contains baselines used to calculate shoreline rate of change statistics for New York State coastal wetlands. Analysis was performed in ArcMap 10.5.1 using the Digital Shoreline Analysis System (DSAS), created by U.S. Geological Survey, version 5.0, and polyline vector historical shorelines from the National Oceanic and Atmospheric Administration (NOAA) . The baselines used in the analysis serve as the originating point for the orthogonal transects cast by the DSAS software.  The transects intersect each shoreline establishing intersection measurement points, which were then used to calculate the rates. U.S. Fish and Wildlife National Wetland Inventory polygon vector data provided extents of coastal wetland boundaries, and determined where baselines were drawn. Baselines were then constructed parallel to NOAA shoreline vectors. Baselines were manually created using standard ArcMap 'Create Features' tools, and do not represent real-world features.

Tags: coastal-processes, digital-shoreline-analysis-system, end-point-rate, erosion, estuary, great-south-bay, hudson-river, jamaica-bay, linear-regression-rate, new-york, new-york-bay, new-york-state, peconic-bay, shoreline-accretion, shoreline-change-rate, u-s-geological-survey, united-states, usgs-5b439b1fe4b060350a127007, wetland-ecosystems, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Linear regression rate of shoreline change for New York State coastal wetlands

This data set contains rate of shoreline change statistics for New York State coastal wetlands.   Analysis was performed in ArcMap 10.5.1 using historical vector shoreline data from the National Oceanic and Atmospheric Administration (NOAA). Rate of change statistics were calculated using the Digital Shoreline Analysis System (DSAS), created by U.S. Geological Survey, version 5.0.  End-point rates, calculated by dividing the distance of shoreline movement by the time elapsed between the oldest and the most recent shoreline, were generated for wetlands where fewer than three historic shorelines were available.  Linear regression rates, presented here, were determined by fitting a least-squares regression line to all shoreline points for a particular transect, were used in areas where three or more shorelines were present. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software.  The transects intersect each shoreline establishing intersection measurement points, which were then used to calculate the rates.

Tags: coastal-processes, digital-shoreline-analysis-system, erosion, estuary, great-south-bay, hudson-river, jamaica-bay, linear-regression-rate, new-york, new-york-bay, new-york-state, peconic-bay, shoreline-accretion, shoreline-change-rate, u-s-geological-survey, united-states, usgs-5b4399ece4b060350a126fe6, wetland-ecosystems, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
End point rate of shoreline change statistics for New York State coastal wetlands

This data set contains rate of shoreline change statistics for New York State coastal wetlands.   Analysis was performed in ArcMap 10.5.1 using historical vector shoreline data from the National Oceanic and Atmospheric Administration (NOAA). Rate of change statistics were calculated using the Digital Shoreline Analysis System (DSAS), created by U.S. Geological Survey, version 5.0.  End-point rates, presented here, calculated by dividing the distance of shoreline movement by the time elapsed between the oldest and the most recent shoreline, were generated for wetlands where fewer than three historic shorelines were available.  Linear regression rates, determined by fitting a least-squares regression line to all shoreline points for a particular transect, were used in areas where three or more shorelines were present. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software.  The transects intersect each shoreline establishing intersection measurement points, which were then used to calculate the rates.

Tags: coastal-processes, digital-shoreline-analysis-system, end-point-rate, erosion, estuary, great-south-bay, hudson-river, jamaica-bay, new-york, new-york-bay, new-york-state, peconic-bay, shoreline-accretion, shoreline-change-rate, u-s-geological-survey, united-states, usgs-5b4398b5e4b060350a126fc2, wetland-ecosystems, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior