AndreaBozzo/ceres-open-data-index huggingface dataset:
Digital Shoreline Analysis System version 4.3 transects and short-term (1970-2009) end point shoreline change statistics for the North Shore coastal region from North Salisbury at the New Hampshire border to the west side of Deer Island in Boston Harbor (NorthShore_transects_rates_STepr.shp)

Due to continued coastal population growth and increased threats of erosion, current data on trends and rates of shoreline movement are required to inform shoreline and floodplain management. The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast. In 2001, a 1994 shoreline was added to calculate both long- and short-term shoreline change rates at 40-meter intervals along ocean-facing sections of the Massachusetts coast.
The Coastal and Marine Geology Program of the U.S. Geological Survey (USGS) in cooperation with the Massachusetts Office of Coastal Zone Management, has compiled reliable historical shoreline data along open-facing sections of the Massachusetts coast under the Massachusetts Shoreline Change Mapping and Analysis Project 2013 Update. Two oceanfront shorelines for Massachusetts (approximately 1,800 km) were (1) delineated using 2008/09 color aerial orthoimagery, and (2) extracted from topographic LIDAR datasets (2007) obtained from NOAA's Ocean Service, Coastal Services Center. The new shorelines were integrated with existing Massachusetts Office of Coastal Zone Management and USGS historical shoreline data in order to compute long- and short-term rates using the latest version of the Digital Shoreline Analysis System (DSAS).

Tags: accretion, atlantic-coast, baseline, boston-harbor, cmgp, coastal-and-marine-geology-program, coastal-processes, deer-island, digital-shoreline-analysis-system, dsas, end-point-rate, epr, erosion, esri-polyline-shapefile, geoscientificinformation, geospatial-datasets, historic-shoreline, massachusetts, massachusetts-office-of-coastal-zone-management, net-shoreline-movement, new-england, north-shore, nsm, oceans, salisbury, sce, shoreline, shoreline-change-envelope, shoreline-change-rate, short-term, transect, u-s-geological-survey, united-states, usgs, usgs-546eeec0-3104-4425-8f00-ab87248a3858, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Sagebrush Types, Soil Regime Classes, and Fire Frequencies in Greater Sage-grouse Population Areas of the Wyoming Basin (1984-2013)

This three-band, 30-m resolution raster contains sagebrush vegetation types, soil temperature/moisture regime classes, and large fire frequencies across greater sage-grouse population areas within the Wyoming Basin sage-grouse management zone. Sagebrush vegetation types were defined by grouping together similar vegetation types from the LANDFIRE biophysical settings layer. Soil moisture and temperature regimes were from an USDA-NRCS analysis of soil types across the greater sage-grouse range. Fire frequencies were derived from fire severity rasters created by the Monitoring Trends in Burn Severity program. The area of analysis included the greater sage-grouse populations areas within specific management zones. Methods used to derive these data are detailed in the report [Brooks, M.L., Matchett, J.R., Shinneman, D.J., and Coates, P.S., 2015, Fire patterns in the range of greater sage-grouse, 1984-2013; Implications for conservation and management: U.S. Geological Survey Open-File Report 2015-1167, 66 p., http://dx.doi.org/10.3133/ofr20151167]

Tags: greater-sage-grouse, soil-vegetation-relationships, usgs-56201b49e4b01356cd35a214, wildfires, wildland-fires, wildlife-conservation
Organization: Department of the Interior
Chemicals of Emerging Concern in Water and Bottom Sediment in Great Lakes Areas of Concern, 2013 - Field and Laboratory Quality Assurance

The U.S. Geological Survey (USGS), in cooperation with the U.S. Fish and Wildlife Service (USFWS) and the U.S. Environmental Protection Agency (EPA), identified the occurrence of contaminants of emerging concern (CECs) in water and bottom sediments collected in 2013 at 57 sites throughout the Great Lakes Basin. The 2013 effort is part of a long-term study that began in 2010. Included in this directory are collection methods, references to or descriptions of analytical methods used, data for samples collected in 2013, and associated quality-assurance data.   
Samples were collected from April through October 2013 by USGS, USFWS, and/or EPA personnel. Study sites include tributaries to the Great Lakes located near Duluth, Minnesota; Kewaunee, Wisconsin; Appleton, Wisconsin; Detroit, Michigan; Grand Rapids, Michigan; St Clair, Michigan; Cleveland, Ohio; Wanakena, New York; and Potsdam, New York (see "2013 Site List"). During this study, 93 environmental samples and 6 field replicate sample pairs of surface water, 3 field blank water samples, and 3 laboratory-matrix spike water samples were collected or prepared. Additionally, 49 environmental samples, 4 field replicate sample pairs, and two laboratory-matrix spike samples of bottom sediment were collected or prepared.&amp;nbsp;Water and bottom-sediment samples were analyzed at the USGS National Water Quality Laboratory in Denver, Colorado, for a broad suite of CECs.
The Field and Laboratory Quality Assurance provides seven tables that support the analytical results for wastewater compounds, steroid hormones, sterols, and bisphenol A, and pharmaceuticals in water and wastewater compounds, steroid hormones, sterols, and bisphenol A, pharmaceuticals, and antidepressants in bottom-sediment samples collected during 2013.

Tags: area-of-concern, emerging-contaminants, great-lakes-restoration-initiative, toxicology, usgs-54733ba1e4b0b935bc76cec0
Organization: Department of the Interior
MGL1109bathygeo.asc: Multibeam bathymetry data collected by the U.S. Geological Survey in the Gulf of Alaska in 2011 during cruise MGL1109, 100-meter gridded data in Esri gridascii format, geographic coordinates.

This raster dataset represents approximately 69,060 square kilometers of Simrad EM122 multibeam-bathymetry data collected in the Gulf of Alaska during U.S. Geological Survey - Coastal and Marine Geology Program cruise MGL1109 aboard the R/V Marcus G. Langseth. The data have been reduced for position, elevation, orientation, water-column sound-speed, and refraction effects.

Tags: aleutian-basin, aleutian-trench, baranof-fan, bathymetry, bathymetry-and-elevation, bering-sea, bowers-ridge, bowie-seamount, cmhrp, coastal-and-marine-hazards-and-resources-program, continental-shelf, dutch-harbor, environment, extended-continental-shelf, geoscientificinformation, geospatial-datasets, gulf-of-alaska, kodiak-island, kodiak-seamount, marine-geophysics, multibeam-echo-sounder, multibeam-sonar, oceans, pacific-coastal-and-marine-science-center, pcmsc, physical-habitats-and-geomorphology, shirshov-ridge, surveyor-fan, u-s-geological-survey, umnak-plateau, usgs, usgs-560d9c2be4b0d2d2d8508658
Organization: Department of the Interior
Fire impacts on permafrost in Alaska: Geophysical and other field data collected in 2014

Fire can be a significant driver of permafrost change in boreal landscapes, altering the availability of soil carbon and nutrients that have important implications for future climate and ecological succession.  However, not all landscapes are equally susceptible to fire-induced change.  As fire frequency is expected to increase in the high latitudes, methods to understand the vulnerability and resilience of different landscapes to permafrost degradation are needed. Geophysical and other field observations reveal details of both near-surface (&amp;lt;1 m) and deeper (&amp;gt;1 m) impacts of fire on permafrost along 11 transects that span burned-unburned boundaries in different landscape settings within interior Alaska.  Data collected along the 11 transect locations include: electrical resistivity tomography (ERT), downhole nuclear magnetic resonance (NMR), active layer thickness (ALT), organic layer thickness (OLT), and plant species cover.  These geospatial datasets are the foundation for the journal article, "Evidence for non-uniform permafrost degradation after fire in boreal landscapes", published in the Journal of Geophysical Research - Earth Surface.

Tags: alaska, city-of-fairbanks, disturbance, environment, fire, geoscientificinformation, permafrost, tok, usgs-560d7da1e4b0ffc553748954, vegetation
Organization: Department of the Interior
MGL1109centerdepth.shp: Multibeam bathymetry data collected by the U.S. Geological Survey in the Gulf of Alaska in 2011 during cruise MGL1109, along-track center-beam depths extracted from 100-meter gridded data in shapefile format, geographic coordinates

This shapefile contains center-beam depths for approximately 5804 trackline kilometers of Simrad EM122 multibeam-bathymetry data collected in the Gulf of Alaska during U.S. Geological Survey (USGS) cruise MGL1109 aboard the R/V Marcus G. Langseth. The depth values were extracted from gridded data which were reduced for position, elevation, orientation, water-column sound-speed, and refraction effects.

Tags: aleutian-basin, aleutian-trench, baranof-fan, bathymetry, bathymetry-and-elevation, bering-sea, bowers-ridge, bowie-seamount, cmhrp, coastal-and-marine-hazards-and-resources-program, continental-shelf, dutch-harbor, environment, extended-continental-shelf, geoscientificinformation, geospatial-datasets, gulf-of-alaska, kodiak-island, kodiak-seamount, marine-geophysics, multibeam-echo-sounder, multibeam-sonar, oceans, pacific-coastal-and-marine-science-center, pcmsc, physical-habitats-and-geomorphology, shirshov-ridge, surveyor-fan, u-s-geological-survey, umnak-plateau, usgs, usgs-5605a22ae4b058f706e5152c
Organization: Department of the Interior
MODFLOW-OWHM used to characterize the flow system of the Petaluma River Watershed, Sonoma County, California

The Petaluma Valley integrated hydrologic model (PVIHM) was developed by the U.S. Geological Survey (USGS) 
in cooperation with the Sonoma County Water Agency and the City of Petaluma. The PVIHM simulates the 
99,000-acre Petaluma valley watershed and includes 54,000 acres where groundwater flow is active. The model 
simulates 56 years of historical hydrology (water years 1960–2015) that includes a range of wet and dry climatic 
conditions. The model incorporates data collected from local (Sonoma County Water Agency and City of Petaluma), 
State, and Federal sources. The PVIHM is an integrated hydrologic model that simulates groundwater-flow, 
surface-water flow, and land-surface process systems in a single model using MODFLOW-OWHM. The model 
was calibrated using observed groundwater altitudes from 41 groundwater monitoring wells and measured streamflow 
data from 3 USGS streamflow gages. The model generates monthly water budgets for water use, groundwater flow, 
and streamflow for water years 1960–2015 as well as groundwater altitude hydrographs, simulated streamflow 
hydrographs, and maps of simulated groundwater altitude. This USGS data release contains all of the input and 
output files for the PVIHM model, which are described in the associated Scientific Investigation Report 
(https://doi.org/10.3133/sir20225009)

Tags: california, city-of-petaluma, environment, geoscientificinformation, groundwater, groundwater-model, inlandwaters, modflow-owhm, petaluma-valley-groundwater-basin, petaluma-valley-watershed, sgma, sonoma-county, usgs-56042dc9-9d6c-4b29-98ea-2002407d973b, usgsgroundwatermodel
Organization: Department of the Interior
Probabilistic estimates of the distribution of near-surface (within 1m) permafrost in Alaska.

This medium resolution (i.e. 30-m pixels) spatial dataset provides an estimate of the occurrence of near-surface (within 1 m of the ground surface) permafrost in Alaska.  The dataset was developed using a decision-tree model that statistically and spatially extended late-season field observations (n ~ 17,000) using remotely sensed imagery, climatic data, and thematic maps of a wide range of surface and subsurface biophysical characteristics.  To circumvent the use of seasonal frost observations, only thaw-depth measurements taken during late-season months (late July to mid-September) or measurements designated to have no near-surface (within 1m) permafrost were used for model calibration and validation. Individual pixel values represent the probability of encountering near-surface permafrost (i.e. 0 to 100 %), as derived from a tree ensemble model, and pixel values greater than 100 correspond to masked land cover types (i.e. 101 = open water; 102 = perennial ice/snow; 103 = developed; 104 = barren, and; 105 = cultivated areas) as defined by the 2001 National Land Cover Database.  Decision tree models and resultant maps were tested using independent field observations and f-fold cross validations, which indicated that the map product has an overall accuracy of approximately 85 % when using a probability threshold of 50 % (i.e. less than 50 % = near-surface permafrost absent; greater than or equal to 50 % = near-surface permafrost present).

Tags: pedometrics, permafrost, remote-sensing, spatial-modeling, usgs-5602ab5ae4b03bc34f5448b4
Organization: Department of the Interior
Chemicals of Emerging Concern in Water and Bottom Sediment in Great Lakes Areas of Concern, 2013 - Environmental Data

The U.S. Geological Survey (USGS), in cooperation with the U.S. Fish and Wildlife Service (USFWS) and the U.S. Environmental Protection Agency (EPA), identified the occurrence of contaminants of emerging concern (CECs) in water and bottom sediments collected in 2013 at 57 sites throughout the Great Lakes Basin. The 2013 effort is part of a long-term study that began in 2010. Included in this directory are collection methods, references to or descriptions of analytical methods used, data for samples collected in 2013, and associated quality-assurance data.   
Samples were collected from April through October 2013 by USGS, USFWS, and/or EPA personnel. Study sites include tributaries to the Great Lakes located near Duluth, Minnesota; Kewaunee, Wisconsin; Appleton, Wisconsin; Detroit, Michigan; Grand Rapids, Michigan; St Clair, Michigan; Cleveland, Ohio; Wanakena, New York; and Potsdam, New York (see "2013 Site List"). During this study, 93 environmental samples and 6 field replicate sample pairs of surface water, 3 field blank water samples, and 3 laboratory-matrix spike water samples were collected or prepared. Additionally, 49 environmental samples, 4 field replicate sample pairs, and two laboratory-matrix spike samples of bottom sediment were collected or prepared. Water and bottom-sediment samples were analyzed at the USGS National Water Quality Laboratory in Denver, Colorado, for a broad suite of CECs.
The Environmental Data provides 4 tables that describes the analytical results for wastewater compounds, steroid hormones, sterols, and bisphenol A, and pharmaceuticals in water and wastewater compounds, steroid hormones, sterols, and bisphenol A, pharmaceuticals, and antidepressants in bottom-sediment samples collected during 2013.

Tags: area-of-concern, emerging-contaminants, great-lakes-restoration-initiative, toxicology, usgs-547368c7e4b0b935bc76d0a0
Organization: Department of the Interior
Dauphin Island Storms and Sea Level Rise Assessment: XBeach Model Input and Results for the Hurricane Katrina Low Sea Level Rise Scenario

Using the numerical model XBeach version 4926 (Roelvink and others, 2009), hurricanes Ivan (2004) and Katrina (2005) were simulated at Dauphin Island, Alabama, under present-day conditions and future sea level rise scenarios as described in Passeri and others, 2018. The XBeach model setup requires the input of a merged topographic and bathymetric digital elevation model (DEM), and inputs of wave spectra (based on significant wave height, peak wave period and wave direction) and water level (tide and surge) time series. Model inputs and outputs in the form of topography and bathymetry are provided in this data release. For further information regarding model input generation and visualization of model output topography and bathymetry, refer to Passeri and others, 2018.

Tags: alabama, barrier-island, bathymetry, coastal, coastal-ecosystems, dauphin-island, digital-elevation-models, elevation, estuaries, estuarine-ecosystems, geomorphology, geoscientificinformation, gulf-of-mexico, hurricane-ivan, hurricane-katrina, marine-geology, marine-sediment-transport, morphologic-change, north-america, ocean-processes, oceans, sea-level-change, sea-level-rise, sediment-transport, spcmsc, st-petersburg-coastal-and-marine-science-center, storm-impact, storm-surge, tides-oceanic, topography, u-s-geological-survey, united-states, usgs, usgs-54787c46-4548-4292-afe2-3f0dd9fc5593
Organization: Department of the Interior
Monthly Water Balance Model Futures

A monthly water balance model (MWBM) was driven with precipitation and temperature using a station-based dataset for current conditions (1949 to 2010) and selected statistically-downscaled general circulation models (GCMs) for current and future conditions (1950 to 2099) across the conterminous United States (CONUS) using hydrologic response units from the Geospatial Fabric for National Hydrologic Modeling (Viger and Bock, 2014). Six MWBM output variables (actual evapotranspiration (AET), potential evapotranspiration (PET), runoff (RO), streamflow (STRM), soil moisture storage (SOIL), and snow water equivalent (SWE)) and the two MWBM input variables (atmospheric temperature (TAVE) and precipitation (PPT)) were summarized for hydrologic response units and aggregated at points of interest on a stream network. Results were organized into the Monthly Water Balance Model Futures database, and accessed through the Monthly Water Balance Model Futures Portal (https://my.usgs.gov/mows/).  Note that the data release changed names in January 2017 from "Hydrology Futures" to "Monthly Water Balance Model Futures" due to "Hydrology Futures" being a copyright trademark.
Methods used to calibrate and parameterize the MWBM are detailed in the Hydrology and Earth System Sciences (HESS) paper "Parameter regionalization of a monthly water balance model for the conterminous United States" by Bock and others (2016).  See the link in the "Related External Resources" section for access.  Supplemental data files related to the plots and data analysis in Bock and others (2016) can be found in the HESS-2015-325.zip folder in the "Attached Files" section.  Detailed information on the files and data can be found in the ReadMe.txt contained within the zipped folder.
The data release accompanying the Earth Interactions article “Do downscaled general circulation models reliably simulate historical climatic conditions?” (Bock and others, 2018) and Advances in Water Resources article "Quantifying Uncertainty in Simulated Streamflow and Runoff from a Continental-scale Monthly Water Balance Model" is available as a child items to this page.

Tags: hydrology, inlandwaters, precipitation, runoff, streamflow, usgs-55fc3f98e4b05d6c4e5029a1, water-cycle
Organization: Department of the Interior
Asian carp eggs cannot be distinguished from other cyprinid species on the basis of morphology alone:  Supporting Data

Eggs were collected in the Upper Mississippi main stem (Pool 9 and Pool 11) during the summer of 2013.  Using previously published morphological characteristics, eggs were positively identified as belonging to an invasive Asian carp genus.  A subsample of these eggs was subsequently analyzed using molecular methods to determine species identity.  Genetic identification of a total of 41 eggs was attempted using the cytochrome c oxidase 1 (COI) gene.  Due to the preservation technique used (formalin) and resulting DNA degradation, sequences from only 17 individuals could be recovered.  In all cases, non-carp cyprinids were identified as the most likely species identity (usually a Notropis spp.).  In previously published reports, the primary morphological characteristic that distinguishes invasive carp from non-carp cyprinids is size.  However, many of the eggs that were identified as non-carp cyprinids genetically were as large as 4.0 mm in diameter (at early developmental stages), large enough to overlap in size with Asian carp eggs on the low end of their size range.  Other researchers studying fish eggs and early life history stages should plan on preserving a subset of collected eggs for genetic analysis to confirm morphological identifications.

Tags: edna, environmental-dna, usgs-55f9b4fde4b05d6c4e5014c0
Organization: Department of the Interior
Estimates of subsurface tile drainage extent for 12 Midwest states, 2012

This dataset is a 30-meter resolution raster of estimated extent of subsurface tile drains, developed from tabular data of state-level estimates of agricultural land drained by tiles combined with geospatial cropland and soils in 12 Midwest States (SD, NE, KS, MN, IA, MO, WI, IL, MI, IN, OH, and KY). This dataset was created from the following four sources: 1) state-level acreages of agricultural "land drained by tiles" from the 2012 Census of Agriculture; 2) the extent of cultivated cropland from the National Land Cover Dataset (NLCD) 2011; 3) the extent of poorly and moderately drained soils from the State Soil Geographic Database (STATSGO) database Version 2; and 4) state administrative boundaries. The area of drained land was evenly allocated to potentially drained land for agriculture - cropland with poorly drained soil - except in Iowa.  For Iowa, because the reported area of land drained by tiles exceeded the area of cropland on poorly drained soils, the additional area of subsurface tile drains greater than the area of cropland on poorly drained soils was assigned to land characterized as cropland with moderately drained soil. The estimated extent of subsurface tile drains in each cell is expressed in square meters.

Tags: census-of-agriculture, environment, geoscientificinformation, illinois, indiana, inlandwaters, iowa, kansas, kentucky, land-drained-by-tile, michigan, midwest-stream-quality-assessment, minnesota, missouri, msqa, national-stream-quality-assessment, nawqa, nebraska, ohio, regional-stream-quality-assessment, rsqa, south-dakota, subsurface-drainage, subsurface-tile-drainage, tile-drain, usgs-55f6e42ae4b0477df11bff10, water-quality, wisconsin
Organization: Department of the Interior