AndreaBozzo/ceres-open-data-index huggingface dataset:
fishtail_catch:Indices and supporting data characterizing the current and future risk to fish habitat degradation in the Northeast Climate Science Center region

This dataset represents results from this study attributed to the NHDPlus catchments. Human impacts occurring throughout the Northeast United StatesDOI Northeast Climate Science Center, including urbanization, agriculture, and dams, have multiple effects on the region’s streams which support economically valuable stream fishes. Changes in climate are expected to lead to additional impacts in stream habitats and fish assemblages in multiple ways, including changing stream water temperatures.  To manage streams for current impacts and future changes, managers need region-wide information for decision-making and developing proactive management strategies.  Our project met that need by integrating results of a current condition assessment of stream habitats based on fish response to human land use, water quality impairment, and fragmentation by dams with estimates of which stream habitats may change in the future.  Results are available for all streams in the NE CSC region through a spatially-explicit, web-based viewer (FishTail).  With this tool, managers can evaluate how streams of interest are currently impacted by land uses and assess if those habitats may change with climate.  These results, available in a comparable way throughout the NE CSC, provide natural resource managers, decision-makers, and the public with a wealth of information to better protect and conserve stream fishes and their habitats. These data are integrated into a web-based decision support viewer (FishTail): 1) current condition of streams determined from disturbances limiting stream fishes, 2) future conditions resulting from changes in climate, and, 3) changes in water temperature for key locations resulting from climate changes for all streams of the NE CSC region. The report that documents these data is: Daniel, W., N. Sievert, D. Infante, J. Whittier, J. Stewart, C. Paukert, and K. Herreman.  2016.  A decision support mapper for conserving stream fish habitats of the Northeast Climate Science Center region.  Final Report to the US Geological Survey, Northeast Climate Science Center, Amherst, MA.

Tags: aquatic-habitats, climate-change, climatologymeteorologyatmosphere, connecticut, delaware, drainage-basins, habitat-fragmentation, illinois, indiana, inlandwaters, iowa, kentucky, land-use-and-land-cover, maine, maryland, massachusetts, michigan, minnesota, missouri, new-hampshire, new-jersey, new-york, ohio, pennsylvania, rhode-island, rivers, streams, usgs-590b9e21e4b0e541a0378d5a, vermont, virginia, washington-d-c, water-quality, west-virginia, wisconsin
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2015 Site 0677 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 2015 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: cartography, coastal, crms, doqq, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, state-of-louisiana, usgs-59387632e4b0764e6c5d6c26, wetland
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2005, 2008, 2012, and 2015 Site 2154 Land-Water Matrix

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 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.  This dataset consists of a matrix of four land-water products (2005, 2008, 2012, and 2015).  The resulting matrix has 16 possible classes defined by the combination of land and water categories on those four dates.

Tags: cartography, coastal, crms, doqq, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, state-of-louisiana, usgs-59387874e4b0764e6c5d6cf1, wetland
Organization: Department of the Interior
Water column acoustic backscatter data from the mouth of the Columbia River, Oregon and Washington, 2013

Spatial surveys of water column acoustic backscatter were performed between May 28 and June 2, 2013, in the mouth of the Columbia River, Oregon and Washington. These data were collected using a Biosonics DTX single-beam echosounder with 430 kHz transducer.

Tags: clatsop-county, cmgp, coastal-and-marine-geology-program, columbia-river, geoscientificinformation, marine-water-quality, oceans, pacific-coastal-and-marine-science-center, pacific-county, pcmsc, physical-oceanography, state-of-oregon, state-of-washington, u-s-geological-survey, usgs, usgs-590b751ce4b0e541a0378cba, water-column-features
Organization: Department of the Interior
Paired Watershed Data for Pleasant Valley Creek and Ridgeway Branch, Wisconsin 2006-2016

This data release includes three sets of data collected for a farm- and field-focused phosphorus reduction study in south-central, Wisconsin, USA. Paired samples collected in the control and treatment watershed analyzed for suspended sediment, total phosphorus, and total dissolved phosphorus during the calibration and post-treatment phases are presented. Samples were collected in fall 2006 through fall 2016. The data sets include: 1) Paired storm event loads parsed into calibration and post-treatment period and by the presence of frozen ground; 2) Paired low flow concentrations; and  3) Daily load data for each watershed separated by total flow and baseflow. These data are interpreted in journal articles to be published in Journal of Soil and Water Conservation and Journal of Water Quality.

Tags: dane-county, dissolved-phosphorus, iowa-county, nonpoint-source-pollution, paired-watershed, pleasant-valley-branch, ridgeway-branch, runoff, suspended-sediment, total-phosphorus, usgs-590a357be4b0fc4e449160c2, water-quality-data, wisconsin
Organization: Department of the Interior
Depth grids of the flood-inundation maps for the White River at Noblesville, Indiana

Digital flood-inundation maps for a 7.5-mile reach of the White River at Noblesville, Indiana, were created by the U.S. Geological Survey (USGS) in cooperation with the Indiana Department of Transportation. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage 03349000, White River at Noblesville, Ind. Real-time stages at this streamgage may be obtained on the Internet from the USGS National Water Information System at http://waterdata.usgs.gov/nwis or the National Weather Service (NWS) Advanced Hydrologic Prediction Service at http:/water.weather.gov/ahps/, which also forecasts flood hydrographs at this site (NWS site NBLI3). 
Flood profiles were computed for the stream reach by means of a one-dimensional, step-backwater hydraulic modeling software developed by the U.S. Army Corps of Engineers. The hydraulic model was calibrated using the current stage-discharge rating at the USGS streamgage 03349000, White River at Noblesville, Ind. and documented high-water marks from the floods of September 4, 2003 and May 6, 2017. The hydraulic model was then used to compute 15 water-surface profiles for flood stages at 1-foot (ft) intervals referenced to the streamgage datum ranging from 10.0 ft (the NWS “action stage”) to 24.0 ft, which is the highest stage interval of the current USGS stage-discharge rating curve and 2 ft higher than the NWS “major flood stage.” The simulated water-surface profiles were then combined with a Geographic Information System digital elevation model (derived from light detection and ranging [lidar] data having a 0.98-foot vertical accuracy and 4.9-foott horizontal resolution) to delineate the area flooded at each stage. 
The availability of these maps, along with Internet information regarding current stage from the USGS streamgage and forecasted high-flow stages from the NWS, will provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for post-flood recovery efforts.

Tags: city-of-noblesville, flood-inundation-maps, floodplain, floodplains, floods, geospatial-analysis, geospatial-datasets, high-water-marks, hydraulic-engineering, hydrology, indiana, inlandwaters, maps-and-atlases, noblesville, river, stream, streamflow, united-states, usgs-590a1c49e4b0fc4e4491605d, white-river
Organization: Department of the Interior
Shapefile of the flood-inundation maps for the White River at Noblesville, Indiana

Digital flood-inundation maps for a 7.5-mile reach of the White River at Noblesville, Indiana, were created by the U.S. Geological Survey (USGS) in cooperation with the Indiana Department of Transportation. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage 03349000, White River at Noblesville, Ind. Real-time stages at this streamgage may be obtained on the Internet from the USGS National Water Information System at http://waterdata.usgs.gov/nwis or the National Weather Service (NWS) Advanced Hydrologic Prediction Service at http:/water.weather.gov/ahps/, which also forecasts flood hydrographs at this site (NWS site NBLI3). 
Flood profiles were computed for the stream reach by means of a one-dimensional, step-backwater hydraulic modeling software developed by the U.S. Army Corps of Engineers. The hydraulic model was calibrated using the current stage-discharge rating at the USGS streamgage 03349000, White River at Noblesville, Ind. and documented high-water marks from the floods of September 4, 2003 and May 6, 2017. The hydraulic model was then used to compute 15 water-surface profiles for flood stages at 1-foot (ft) intervals referenced to the streamgage datum ranging from 10.0 ft (the NWS “action stage”) to 24.0 ft, which is the highest stage interval of the current USGS stage-discharge rating curve and 2 ft higher than the NWS “major flood stage.” The simulated water-surface profiles were then combined with a Geographic Information System digital elevation model (derived from light detection and ranging [lidar] data having a 0.98-foot vertical accuracy and 4.9-foott horizontal resolution) to delineate the area flooded at each stage. 
The availability of these maps, along with Internet information regarding current stage from the USGS streamgage and forecasted high-flow stages from the NWS, will provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for post-flood recovery efforts.

Tags: city-of-noblesville, flood-inundation-maps, floodplain, floodplains, floods, geospatial-analysis, geospatial-datasets, high-water-marks, hydraulic-engineering, hydrology, indiana, inlandwaters, maps-and-atlases, noblesville, river, stream, streamflow, united-states, usgs-590a1bdce4b0fc4e4491605a, white-river
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2015 Site 0680 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 2015 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: cartography, coastal, crms, doqq, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, state-of-louisiana, usgs-5938763ae4b0764e6c5d6c28, wetland
Organization: Department of the Interior
Dataset: Forest growth in and around an ungulate enclosure on Northern Guam, 2005-2011

On an island largely devoid of native vertebrate seed dispersers, we monitored forest succession for seven years following ungulate exclusion from a 5-hectare area and adjacent plots with ungulates still present. The study site was in northern Guam on Andersen Air Force Base (13°37’N, 144°51’E) and situated on a coralline limestone plateau. We established 22 plots and six 0.25-m2 subplots to measure trees and understory canopy. Data were collected in February or March, during the dry season from 2005-2011.

Tags: anderson-airforce-base, biota, birds, ecosystem-services-valuation, environment, forest-succession, frugivorous, guam, ungulate-exclusion, usgs-5910e5b2e4b0e541a03ac9b3
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2005, 2008, 2012, and 2015 Site 2156 Land-Water Matrix

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 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.  This dataset consists of a matrix of four land-water products (2005, 2008, 2012, and 2015).  The resulting matrix has 16 possible classes defined by the combination of land and water categories on those four dates.

Tags: cartography, coastal, crms, doqq, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, state-of-louisiana, usgs-5938787ee4b0764e6c5d6cf3, wetland
Organization: Department of the Interior
FishTail, Indices and Supporting Data Characterizing the Current and Future Risk to Fish Habitat Degradation in the Northeast Climate Science Center Region

Human impacts occurring throughout the Northeast United StatesDOI Northeast Climate Science Center, including urbanization, agriculture, and dams, have multiple effects on the region’s streams which support economically valuable stream fishes. Changes in climate are expected to lead to additional impacts in stream habitats and fish assemblages in multiple ways, including changing stream water temperatures.  To manage streams for current impacts and future changes, managers need region-wide information for decision-making and developing proactive management strategies.  Our project met that need by integrating results of a current condition assessment of stream habitats based on fish response to human land use, water quality impairment, and fragmentation by dams with estimates of which stream habitats may change in the future.  Results are available for all streams in the NE CSC region through a spatially-explicit, web-based viewer (FishTail).  With this tool, managers can evaluate how streams of interest are currently impacted by land uses and assess if those habitats may change with climate.  These results, available in a comparable way throughout the NE CSC, provide natural resource managers, decision-makers, and the public with a wealth of information to better protect and conserve stream fishes and their habitats. These data are integrated into a web-based decision support viewer (FishTail): 1) current condition of streams determined from disturbances limiting stream fishes, 2) future conditions resulting from changes in climate, and, 3) changes in water temperature for key locations resulting from climate changes for all streams of the NE CSC region. The report that documents these data is: Daniel, W., N. Sievert, D. Infante, J. Whittier, J. Stewart, C. Paukert, and K. Herreman.  2016.  A decision support mapper for conserving stream fish habitats of the Northeast Climate Science Center region.  Final Report to the US Geological Survey, Northeast Climate Science Center, Amherst, MA.

Tags: aquatic-habitats, climate-change, climatologymeteorologyatmosphere, connecticut, delaware, drainage-basins, habitat-fragmentation, illinois, indiana, inlandwaters, iowa, kentucky, land-use-and-land-cover, maine, maryland, massachusetts, michigan, minnesota, missouri, new-hampshire, new-jersey, new-york, ohio, pennsylvania, rhode-island, rivers, streams, usgs-590a049de4b0fc4e44916012, vermont, virginia, washington-d-c, water-quality, west-virginia, wisconsin
Organization: Department of the Interior
Chemical extraction results of aquifer sediments for concentrations of iron and arsenic in different redox zones at the crude-oil spill site near Bemidji, Minnesota

In a crude-oil-contaminated sandy aquifer at the Bemidji site in northern Minnesota, biodegradation of petroleum hydrocarbons has resulted in release of naturally occurring As to groundwater under Fe-reducing conditions. This data set was collected for a study that used chemical extractions of aquifer sediments collected in 1993 and 2011-2014 to evaluate the relationship between Fe and As in different redox zones (oxic, methanogenic, Fe-reducing, anoxic-sub-oxic transition) of the contaminated aquifer over a twenty year period. The data presented showed that 1) the aquifer has the capacity to naturally attenuate the plume of dissolved As, primarily through sorption; 2) Fe and As are linearly correlated in sediment across all redox zones, and a regression analysis between Fe and As reasonably predicted As concentrations in sediment from 1993 using only Fe concentrations; 3) an As-rich “iron curtain,” associated with the  anoxic-sub-oxic transition zone, migrated 30 m downgradient between 1993 and 2013 as a result of the hydrocarbon plume evolution; and 4) silt lenses in the aquifer preferentially sequester dissolved As, though As is remobilized into groundwater from sediment after reducing conditions are established.

Tags: arsenic, biodegradation, biogeochemical-cycling, sediment-geochemistry, usgs-5909fc1be4b0fc4e44916002, water-chemistry, water-quality
Organization: Department of the Interior