AndreaBozzo/ceres-open-data-index huggingface dataset:
Data on Midwest stream diatom metrics and environmental stressors, 2013

The objective of this study was to assess the comparative influence of multiple stressors on benthic diatoms at 98 sites that spanned a range of stressors that occurred in an agricultural dominated region in the upper Midwest, USA.  The primary stressors of interest included: nutrients, herbicides and fungicides, sediment, and streamflow; though the influence of physical habitat was incorporated in the assessment.  The study area covered portions of 12 states (600,000 km2), with agriculture the dominate land use. The 98 sites used in this study consisted of 49 randomly selected EPA National Rivers and Streams Assessment sites combined with 49 targeted USGS sites.  Thirty-seven of the targeted sites were selected to fill in the agricultural land use gradient that was defined by a combination of the percentage of row crop agriculture and the toxicity-weighted pesticide use (TWU) within the basin. The remaining sites were located at reference and urban settings.  Nutrient, pesticide, and suspended sediment samples were collected weekly over a 6-week period from July to early August, 2013, with benthic algae collected and stream habitat quantified at the end of the 6-week period. Streamflow was measured continuously using USGS streamflow gaging stations and pressure transducers at non-gaged sites; water temperature was measured continuously using Hobo sensors.

Tags: diatoms, habitat, nutrients, pesticides, streams, usgs-5967e59de4b0d1f9f05e5750
Organization: Department of the Interior
2003 Blood Corticosterone Common Loons: Data

To help determine whether Hg had a causal effect on corticosterone, we investigated the impact of experimental Hg intake on the corticosterone stress response in captive juvenile loons.  Juveniles were subjected to three different feeding regimes: 0, 0.4 and 1.2 µg Hg (as MeHgCL)/g wet weight (ww) fish.  We then measured baseline and 30 min post-solitary confinement stressor corticosterone concentrations.  The data set consists of times of blood draws and dietary Hg levels.  Blood samples and data set were provided to the senior author for analysis.

Tags: corticosterone, loon, mercury, piscivorous-bird, stress, upper-midwest-environmental-sciences-center, usgs-5967b229e4b0d1f9f05e51fc, wisconsin
Organization: Department of the Interior
EFFECTS OF FLOOD INUNDATION AND INVASION BY Phalaris arundinacea ON NITROGEN CYCLING IN AN UPPER MISSISSIPPI RIVER FLOODPLAIN FOREST

This data set consists of monthly averages of soil and litter properties. Rows are grouped in the following order: year, month, vegetation type, plot ID. Within a single month five plots were sampled within each of the 2 vegetation types (10 plots total). Columns F+ represent individual measurements.

Tags: disturbance, flood-pulse, floodplain-restoration, floodplains, mississippi-river, nitrogen, nitrogen-cycling, pool-8, upper-mississippi-river, usgs-5967890ee4b0d1f9f05e516e, wisconsin
Organization: Department of the Interior
Combined wildfire dataset for the United States and certain territories, 1870-2015

The increase in wildfires, particularly in the western U.S., represents one of the greatest threats to multiple native ecosystems. Despite this threat, there is currently no central repository to store both past and current wildfire perimeter data. Currently, wildfire boundaries can only be found in disparate local or national datasets. These datasets are generally restricted to specific locations, fire sizes, or time periods. Our objective was to create a comprehensive national wildfire perimeter dataset by combining all freely available wildfire datasets that we could download.  We combined and dissolved individual wildfire polygons from multiple datasets if they were in the same year and overlapped each other or were within 1km of the fire boundary. This combined dataset includes spatial summary statistics such as number of times burned, earliest fire of record, and most recent fire of record.

Tags: area-burned, california, fires, idaho, nevada, oregon, united-states, usgs-59667039e4b0d1f9f05cf2ff, utah, wildfire, wildfires, wildland-fire
Organization: Department of the Interior
Change in suspended sediment concentration over the salt marsh units in Edwin B. Forsythe National Wildlife Refuge, New Jersey during Hurricane Sandy

As part of the Hurricane Sandy Science Plan, the U.S. Geological Survey is expanding National Assessment of Coastal Change Hazards and forecast products to coastal wetlands. The intent is to provide federal, state, and local managers with tools to estimate the vulnerability of coastal wetlands to various factors and to evaluate their ecosystem service potential. For this purpose, the response and resilience of coastal wetlands to physical factors need to be assessed in terms of the ensuing change to their vulnerability and ecosystem services. Edwin B. Forsythe National Wildlife Refuge (EBFNWR), New Jersey, was selected as a pilot study area.
As part of this data synthesis effort, hydrodynamic and sediment transport modeling of Barnegat Bay Little Egg Harbor (BBLEH) has been used to create the following wetland data layers in Edwin B. Forsythe National Wildlife Refuge (EBFNWR), New Jersey: 1) Hydrodynamic residence time , 2) salinity change and 3) salinity exposure change in wetlands, and 4) sediment supply to wetlands. The residence time layer was based on the hydrodynamic and particle tracking modeling of the period 3/1/2012 to 5/1/2012 by Defne and Ganju (2015). For this data layer, the residence time map of estuarine water has been projected over the EBFNWR salt marshes. The rest of the layers were derived from the BBLEH hydrodynamic modeling for the Hurricane Sandy period that spans from 10/27/2012 to 11/04/2012 (Defne and Ganju, 2016a). The model estimated changes in salinity and sediment concentrations over the salt marshes caused by storm-induced coastal flooding. The results are summarized over the previously determined conceptual salt marsh unit polygons (Defne and Ganju, 2016b).

Tags: atlantic-ocean, barnegat-bay, coastal-ecosystems, coastal-processes, edwin-b-forsythe-national-wildlife-refuge, environment, environmental-assessment, estuary, great-bay, inlandwaters, little-egg-island, marsh-health, new-jersey, oceans, polygon-shapefile, resilience, salt-marsh, suspended-sediment-concentration, united-states, usgs-59655293e4b0d1f9f05b368a, vegetation, vulnerability, wetland-ecosystems, wetland-functions
Organization: Department of the Interior
Change in salinity exposure of salt marsh units in Edwin B. Forsythe National Wildlife Refuge, New Jersey during Hurricane Sandy

As part of the Hurricane Sandy Science Plan, the U.S. Geological Survey is expanding National Assessment of Coastal Change Hazards and forecast products to coastal wetlands. The intent is to provide federal, state, and local managers with tools to estimate the vulnerability of coastal wetlands to various factors and to evaluate their ecosystem service potential. For this purpose, the response and resilience of coastal wetlands to physical factors need to be assessed in terms of the ensuing change to their vulnerability and ecosystem services. Edwin B. Forsythe National Wildlife Refuge (EBFNWR), New Jersey, was selected as a pilot study area.
As part of this data synthesis effort, hydrodynamic and sediment transport modeling of Barnegat Bay Little Egg Harbor (BBLEH) has been used to create the following wetland data layers in Edwin B. Forsythe National Wildlife Refuge (EBFNWR), New Jersey: 1) Hydrodynamic residence time , 2) salinity change and 3) salinity exposure change in wetlands, and 4) sediment supply to wetlands. The residence time layer was based on the hydrodynamic and particle tracking modeling of the period 3/1/2012 to 5/1/2012 by Defne and Ganju (2015). For this data layer, the residence time map of estuarine water has been projected over the EBFNWR salt marshes. The rest of the layers were derived from the BBLEH hydrodynamic modeling for the Hurricane Sandy period that spans from 10/27/2012 to 11/04/2012 (Defne and Ganju, 2016a). The model estimated changes in salinity and sediment concentrations over the salt marshes caused by storm-induced coastal flooding. The results are summarized over the previously determined conceptual salt marsh unit polygons (Defne and Ganju, 2016b).

Tags: atlantic-ocean, barnegat-bay, coastal-ecosystems, coastal-processes, contamination, ecological-processes, edwin-b-forsythe-national-wildlife-refuge, environment, environmental-assessment, estuary, great-bay, inlandwaters, little-egg-island, marsh-health, new-jersey, oceans, polygon-shapefile, resilience, salinity, salinity-exposure, salt-marsh, united-states, usgs-59655223e4b0d1f9f05b3685, vegetation, vulnerability, wetland-ecosystems, wetland-functions
Organization: Department of the Interior
Reported and inventoried crop and irrigated acreage in Okeechobee County, Florida, 1978-2017

A detailed table summarizing the irrigated acreage by crop type and irrigation system was developed for the 2017 growing season (November 2016 through September 2017) for Okeechobee County, Florida. The totals represent the acreage values obtained from a cooperative project that mapped and field-verified irrigated fields in Okeechobee County, Florida. In addition, the table provides acreage totals by crop type published by the U.S. Department of Agriculture for prior years between 1978 and 2012.

Tags: crop-type, environment, farming, florida, florida-department-of-agriculture-and-consumer-service, groundwater, inland-waters, irrigation-type, landuse, landuse-classification-codes, okeechobee-county, orthoimagery, south-florida-water-management-district, surface-water, usgs-59a06a7ae4b038630d030617
Organization: Department of the Interior
Change in salinity in salt marsh units in Edwin B. Forsythe National Wildlife Refuge, New Jersey during Hurricane Sandy

As part of the Hurricane Sandy Science Plan, the U.S. Geological Survey is expanding National Assessment of Coastal Change Hazards and forecast products to coastal wetlands. The intent is to provide federal, state, and local managers with tools to estimate the vulnerability of coastal wetlands to various factors and to evaluate their ecosystem service potential. For this purpose, the response and resilience of coastal wetlands to physical factors need to be assessed in terms of the ensuing change to their vulnerability and ecosystem services. Edwin B. Forsythe National Wildlife Refuge (EBFNWR), New Jersey, was selected as a pilot study area.
As part of this data synthesis effort, hydrodynamic and sediment transport modeling of Barnegat Bay Little Egg Harbor (BBLEH) has been used to create the following wetland data layers in Edwin B. Forsythe National Wildlife Refuge (EBFNWR), New Jersey: 1) Hydrodynamic residence time , 2) salinity change and 3) salinity exposure change in wetlands, and 4) sediment supply to wetlands. The residence time layer was based on the hydrodynamic and particle tracking modeling of the period 3/1/2012 to 5/1/2012 by Defne and Ganju (2015). For this data layer, the residence time map of estuarine water has been projected over the EBFNWR salt marshes. The rest of the layers were derived from the BBLEH hydrodynamic modeling for the Hurricane Sandy period that spans from 10/27/2012 to 11/04/2012 (Defne and Ganju, 2016a). The model estimated changes in salinity and sediment concentrations over the salt marshes caused by storm-induced coastal flooding. The results are summarized over the previously determined conceptual salt marsh unit polygons (Defne and Ganju, 2016b).

Tags: atlantic-ocean, barnegat-bay, coastal-ecosystems, coastal-processes, contamination, ecological-processes, edwin-b-forsythe-national-wildlife-refuge, environment, environmental-assessment, estuary, great-bay, inlandwaters, little-egg-island, marsh-health, new-jersey, oceans, polygon-shapefile, resilience, salinity, salt-marsh, united-states, usgs-5965519fe4b0d1f9f05b3680, vegetation, vulnerability, wetland-ecosystems, wetland-functions
Organization: Department of the Interior
Inferred hydrodynamic residence time in salt marsh units in Edwin B. Forsythe National Wildlife Refuge, New Jersey

As part of the Hurricane Sandy Science Plan, the U.S. Geological Survey is expanding National Assessment of Coastal Change Hazards and forecast products to coastal wetlands. The intent is to provide federal, state, and local managers with tools to estimate the vulnerability of coastal wetlands to various factors and to evaluate their ecosystem service potential. For this purpose, the response and resilience of coastal wetlands to physical factors need to be assessed in terms of the ensuing change to their vulnerability and ecosystem services. Edwin B. Forsythe National Wildlife Refuge (EBFNWR), New Jersey, was selected as a pilot study area.
As part of this data synthesis effort, hydrodynamic and sediment transport modeling of Barnegat Bay Little Egg Harbor (BBLEH) has been used to create the following wetland data layers in Edwin B. Forsythe National Wildlife Refuge (EBFNWR), New Jersey: 1) Hydrodynamic residence time , 2) salinity change and 3) salinity exposure change in wetlands, and 4) sediment supply to wetlands. The residence time layer was based on the hydrodynamic and particle tracking modeling of the period 3/1/2012 to 5/1/2012 by Defne and Ganju (2015). For this data layer, the residence time map of estuarine water has been projected over the EBFNWR salt marshes. The rest of the layers were derived from the BBLEH hydrodynamic modeling for the Hurricane Sandy period that spans from 10/27/2012 to 11/04/2012 (Defne and Ganju, 2016a). The model estimated changes in salinity and sediment concentrations over the salt marshes caused by storm-induced coastal flooding. The results are summarized over the previously determined conceptual salt marsh unit polygons (Defne and Ganju, 2016b).

Tags: atlantic-ocean, barnegat-bay, coastal-ecosystems, coastal-processes, contaminant-transport, contamination, ecological-processes, edwin-b-forsythe-national-wildlife-refuge, environment, environmental-assessment, estuary, flushing, great-bay, inlandwaters, little-egg-island, marsh-health, new-jersey, oceans, polygon-shapefile, residence-time, resilience, salt-marsh, united-states, usgs-59655120e4b0d1f9f05b367a, vegetation, vulnerability, wetland-ecosystems, wetland-functions
Organization: Department of the Interior
Geospatial output data from the RVR Meander model of the Wabash River near the Interstate 64 Bridge near Grayville, Illinois

Natural river channels continually evolve and change shape over time. As a result, channel evolution or migration can cause problems for bridge structures that are fixed in the flood plain. A once-stable bridge structure that was uninfluenced by a river’s shape could be encroached upon by a migrating river channel. The potential effect of the actively meandering Wabash River on the Interstate 64 (I-64) Bridge at the border with Indiana near Grayville, Illinois, was studied using a river migration model called RVR Meander (RVR Meander, 2011). RVR Meander is a toolbox that can be used to model river channel meander migration with physically based bank erosion methods. This study assesses the Wabash River meandering processes through predictive modeling of natural meandering over the next 100 years, climate change effects through increased river flows, and bank protection measures near the I-64 Bridge. The calibrated model was used to run three scenarios. The first scenario investigated the natural meandering of the Wabash River over the next 100 years (2013–2113). The second scenario predicted potential climate change effects on the meander migration of the Wabash River by increasing the model bankfull flow by 10 percent. The third scenario investigated how proposed bank armoring on the right bank of the Wabash River just north of the I-64 Bridge would influence the meandering pattern. Model outputs include one-dimensional shapefiles of the migrated centerlines at defined increments. RVR Meander, 2011, River meander migration software, accessed June 2016 at http://www.rvrmeander.org/software.html.

Tags: centerline, gibson-county, grayville, illinois, indiana, interstate-64-i-64, meander, migration, posey-county, river, shapefile, surface-water, united-states-of-america, usgs-5965069be4b0d1f9f05b326e, wabash-county, wabash-river, white-county
Organization: Department of the Interior
Characterizing Uncertainty in Daily Streamflow Estimates at Ungauged Locations in Support of the Massachusetts Sustainable Yield Estimator: Data Release

This data set archives all inputs, outputs and scripts needed to reproduce the findings of W.H. Farmer and S. Levin in the 2017 Journal of the American Water Resources Association article entitled “Characterizing Uncertainty in Daily Streamflow Estimates at Ungauged Locations in Support of the Massachusetts Sustainable Yield Estimator”.  Input data includes observed streamflow values, in cubic feet per second, for 66 streamgages in and around Massachusetts from 01 October 1960 through 30 September 2004.  Cross-validated streamflows, in cubic feet per second, and estimated correlations are included for all basin pairs as archived by Archfield et al. (2010; USGS SIR 2009–5227). Comma-separated-values files contain output data, including all estimated daily confidence intervals, performance thereof (coverage ratio, average width indices and interval skill scores), and multi-day aggregated performance metrics.  ESRI ArcGIS shapefiles are available for all maps produced in the original publication. This archive also includes an R script capable of reading the input files and producing output files and figures.  See the README.txt file for a full description of model application.    The larger publication can be found at https://doi.org/10.1111/1752-1688.12603.

Tags: massachusetts, new-england, streamflow-modeling, usgs-5963f8afe4b0d1f9f059d97a
Organization: Department of the Interior
Data to support modeling of the 2015 Tyndall Glacier landslide, Alaska

Landslide-generated tsunamis pose significant hazards, but developing models to assess these hazards presents unique challenges. George and others (2017) present a new methodology in which a depth-averaged two-phase landslide model (D-Claw) is used to simulate all stages of landslide dynamics and subsequent tsunami generation, propagation, and inundation. Because the model describes the evolution of solid and fluid volume fractions, it treats both landslides and tsunamis as special cases of a more general class of phenomena. Therefore, the landslide and tsunami can be seamlessly and efficiently simulated as a single-layer continuum with evolving solid-grain concentrations, and with wave generation via mass displacement and direct longitudinal momentum transfer: dominant physical mechanisms that are unresolved with traditional modeling approaches. To test their methodology, George and others (2017) used D-Claw to model a large subaerial landslide and resulting tsunami that occurred on October, 17, 2015, in Taan Fiord near the terminus of Tyndall Glacier, Alaska. Modeled shoreline inundation patterns compare well with observations derived from satellite imagery. This data release contains topographic datasets used to model the landslide and a Normalized difference vegetation index (NDVI) change image used to assess the model results. 
These data are intended to accompany the journal article by George and others (2017): George, D.L., Iverson, R.M., and Cannon, C.M., 2017, New methodology for computing tsunami generation by subaerial landslides: application to the 2015 Tyndall Glacier Landslide, Alaska, Geophysical Research Letters, 44, doi:10.1002/2017GL074341.

Tags: alaska, environment, icy-bay, landcover-change, landslide, ndvi, normalized-difference-vegetation-index, slip-surface, taan-fiord, taan-fjord, tyndall-glacier, usgs-5963e612e4b0d1f9f059d94b, wrangell-saint-elias-national-park, wrangell-saint-elias-national-preserve
Organization: Department of the Interior
Early growth interactions between a mangrove and an herbaceous salt marsh species are not affected by elevated CO2 or drought, Louisiana saltmarsh, 2015

In recent decades the encroachment of woody mangrove species into herbaceous marshes has been documented along the U.S. northern Gulf of Mexico coast. These species shifts have been attributed primarily to rising sea levels and warming winter temperatures, but the role of elevated atmospheric carbon dioxide (CO2) and water availability may become more prominent drivers of species interactions under future climate conditions. In this greenhouse study we examined the effects of CO2 concentration (ambient, elevated) and water regime (drought, saturated, flooded) on early growth of the mangrove species Avicennia germinans and Spartina alterniflora, a herbaceous grass.

Tags: atmospheric-carbon-dioxide, avicennia-germinans, biota, drought, greenhouse-experiment, greenhouse-gases, lafayette-la, louisiana, mangrove-encroachment, mangroves, salt-marshes, spartina-alterniflora, species-interactions, usgs-5963db36e4b0d1f9f059d937, vegetation, water-availability
Organization: Department of the Interior
Data to document shoreline erosion at selected locations along Lake Sharpe on the Lower Brule Reservation in South Dakota, 1966-2015

The U.S. Geological Survey Dakota Water Science Center, in cooperation with the Lower Brule Sioux Tribe, have been collecting data to document shoreline erosion along Lake Sharpe and within the Lower Brule Reservation. This data release includes data collected and compiled from four efforts: shorelines were digitized from existing available maps and aerial imagery to record shoreline locations over time, trail cameras were used to automatically collect photos of the shoreline over time and create time-lapse videos, bank location surveys were completed at intervals to record changes in the location of the top of bank over time, and an unmanned aerial system (drone) was used to collect imagery that was used to generate a basemap of the Lake Sharpe shoreline near Lower Brule, South Dakota. These datasets and their associated metadata are being made available to the public through this data release.

Tags: big-bend-dam, erosion, lower-brule, south-dakota, usgs-5963d34ee4b0d1f9f059d922
Organization: Department of the Interior
Effluent-discharge dataset from the Outfall of the Nogales International Wastewater Treatment Plant, geographic NAD83 (Water Years 2012–2014 and 2016)

This dataset contains effluent-discharge data, in cubic feet per second, for the Santa Cruz location at the Outfall of the Nogales International Wastewater Treatment Plant (SC6, 312724110580501). The data were collected by personnel at the U.S. International Boundary and Water Commission using a pipeline flow meter. The data were recorded at a 30 minute interval for the period of 2012 to 2014 and a 15-minute for the period January 1, 2016 to October 31, 2016. Data were checked for erroneous data and were deleted from the record. The data were reported to USGS for the period of Water Year 2012–2016. Data are missing from the record for the period of July 7, 2014 to August 30, 2014 and November 6, 2014 through December 31, 2015.

Tags: discharge, dna, e-coli, escherichia-coli, stage, tumacacori-national-historical-park, upper-santa-cruz-river, usgs-5963c7ffe4b0d1f9f059d8de, water, water-quality
Organization: Department of the Interior