AndreaBozzo/ceres-open-data-index huggingface dataset:
Concentrations of Pesticide, Pharmaceutical, and Organic Wastewater Contaminants from a Multi-Regional Assessment of Wadeable USA Streams, 2014-17

Human-use pharmaceutical, pesticide, and wastewater indicator compounds were analyzed at the U.S. Geological Survey, National Water Quality Laboratory, Denver, Colorado, in wadeable streams in 4 Regional Stream Quality Assessments: Northeast (NESQA), Southeast (SESQA), Pacific Northwest (PNSQA) and California (CSQA).  Multiple (with few exceptions) samplings occurred at each site, during base flow, between 2014 and 2017.  Sites were located in the headwaters of perennial, wadeable streams in urban and agricultural watersheds.  Site selection and methodology for each assessment can be found in Van Meter and others (2015), Sheibley and others (2015), Van Meter and others (2017), Coles and others (2016), Van Meter and others (2016), Journey and others (2015), and Van Meter and others (2014).  Additional results for this study can be found in Bradley and others, 2020 and Mahler and others, 2020.  See cross-reference section for full citation information.

Tags: biota, california, connecticut, georgia, massachusetts, new-hampshire, new-jersey, new-york, north-carolina, oregon, pennsylvania, pesticide-compounds, pharmaceutical-compounds, rhode-island, south-carolina, surface-water, target-analytes, usgs-5f90390582cec5ff998af2d7, vermont, virginia, washington, wastewater-indicator-compounds
Organization: Department of the Interior
Flux and Soil Data from the Alaska Peatland Experiment 2014 to 2016

This dataset supports a published study on the effects of permafrost thaw on greenhouse gas fluxes and microbial activities at the Alaska Peatland Experiment (APEX), part of the Bonanza Creek LTER, in interior Alaska. The dataset includes autochamber CO2 and CH4 fluxes, net ecosystem exchange, ecosystem respiration, soil temperatures, climate data, microbial qPCR data, soil physical chemistry, soil extract chemistry, and rates of microbial activities, both from lab incubations, and rates derived from an isotope based process model.

Tags: alaska, biota, bog, bonanza-creek-experimental-forest, chronosequence, flux-chamber, greenhouse-gases, microbial, permafrost, soil-chemistry, thermokarst, usgs-5f8f854482ce06b040f05af5
Organization: Department of the Interior
Flood Video Files for Wide-angle Camera (Station 1), Chalk Cliffs, Colorado, USA, 2016

Chalk Cliffs, located 8 miles southwest of Buena Vista, Colorado, is one of the most active debris-flow areas in the state (U.S. Geological Survey). This "Child item" page includes videos of floods captured by one of the high-definition cameras at the monitoring site in Chalk Cliffs, CO. This camera (Wide-angle camera) is located near Station 1 on the opposite side of the basin with a broad view of the channel. The attached figure "station_and_camera_locations.png" provides an overview figure with the location of the three cameras and three stations along the channel. 
Video recording for all cameras is triggered using a rainfall threshold, derived from rainfall measurements from a rain gauge (Michel et al., 2019). The complete videos for all the cameras are downloaded manually during site visits. More detailed information about the cameras and settings used can be found in the metadata file under “Process steps” in “Data quality information.”  
During 2016, several floods were captured by the 'Wide-angle Camera'. The videos for all floods captured by this camera along with the dates they were captured can be found in the attached zip files. The file names indicate "date_camera_flood." 
The following citations relate to reports that provide background information for this data release:  
Michel, A., Kean, J.W., Smith, J.B., Allstadt, K.E., Coe, J.A. (2019). Taking the pulse of debris flows: Extracting debris-flow dynamics from good vibrations in southern California and central Colorado. Debris-flow hazards mitigation: Mechanics, Monitoring, Modeling, and Assessment. http://dx.doi.org/10.25676/11124/173224 
U.S. Geological Survey Landslide Hazards Program. (2020). Chalk Cliffs, Colorado. U.S Geological Survey, https://www.usgs.gov/natural-hazards/landslide-hazards/science/chalk-cliffs-colorado?qt-science_center_objects=0#qt-science_center_objects 
Kean, J.W., Smith, J.B., and Coe, J.A., 2020, Debris-flow monitoring data, Chalk Cliffs, Colorado, USA, 2014: U.S. Geological Survey data release, https://doi.org/10.5066/P9MUWDFN

Tags: chalk-cliffs, colorado, debris-flow, flood, geologic-hazards-science-center, geomorphology, hydrology, landslide-hazards-program, landslides, usgs, usgs-5f8f4fa382ce06b040efcb22, video-monitoring, videos
Organization: Department of the Interior
Debris-flow and Flood Video Files, Chalk Cliffs, Colorado, USA, 2016

Chalk Cliffs located 8 miles southwest of Buena Vista, Colorado, is one of the most active debris-flow areas in the state (U.S. Geological Survey). Three stations were set up at Chalk Cliffs which are located sequentially along a channel draining the 0.3 km^2 study area. These stations are equipped with rain gauges, laser distance meters, and data loggers to record rainfall and stage data (Kean, et al., 2020). This data release includes videos of debris-flows and floods captured by high-definition cameras placed at three different locations, associated with the monitoring stations, along the study area at Chalk Cliffs during 2016. Near the Upper Station (Station 1) there are two cameras, one located at the bridge cross section at the channel (Bridge Camera) and another on the opposite side of the basin with a broad view of the channel (Wide-angle Camera). The third camera (Middle Camera) is located near Station 2. The attached figure "station_and_camera_locations.png" provides an overview figure with the location of the three cameras and three stations along the channel. The videos and their audio are used to record information on flow type and velocity of debris flows. They can also be used to interpret how the flow characteristics, such as sediment concentration, vary with time to compare to seismic observations. 
Video recording for all cameras is triggered using a rainfall threshold, derived from rainfall measurements from the rain gauges (Michel et al., 2019). The complete videos for all the cameras are downloaded manually during site visits. More detailed information about the cameras and settings used can be found in the metadata file under “Process steps” in “Data quality information.” 
During 2016, several debris flows and floods were captured by the three cameras. The videos can currently be viewed in the individual ‘Child item’ pages accessible below. The ‘Child item’ pages contain either flood or debris flow video files for each camera described above.  
The following citations relate to reports that provide background information for this data release:  
Michel, A., Kean, J.W., Smith, J.B., Allstadt, K.E., Coe, J.A. (2019). Taking the pulse of debris flows: Extracting debris-flow dynamics from good vibrations in southern California and central Colorado. Debris-flow hazards mitigation: Mechanics, Monitoring, Modeling, and Assessment. http://dx.doi.org/10.25676/11124/173224    
U.S. Geological Survey Landslide Hazards Program. (2020). Chalk Cliffs, Colorado. U.S Geological Survey, https://www.usgs.gov/natural-hazards/landslide-hazards/science/chalk-cliffs-colorado?qt-science_center_objects=0#qt-science_center_objects 
Kean, J.W., Smith, J.B., and Coe, J.A., 2020, Debris-flow monitoring data, Chalk Cliffs, Colorado, USA, 2014: U.S. Geological Survey data release, https://doi.org/10.5066/P9MUWDFN

Tags: chalk-cliffs, colorado, debris-flow, flood, geologic-hazards-science-center, geomorphology, hydrology, landslide-hazards-program, landslides, usgs, usgs-5f8f4b2082ce06b040efcb00, video-monitoring, videos
Organization: Department of the Interior
December 2018 National Wetlands Inventory Mississippi Barrier Islands habitat classification: (Cat Island, Ship Island, Petit Bois Island and Horn Island)

The Mississippi Coastal Improvements Program (MsCIP) has developed a Comprehensive Barrier Island Restoration Plan containing options to ensure the integrity of the Mississippi barrier islands through restoration efforts.  Any restoration activities implemented must have minimal adverse impacts to critical habitat for various marine, terrestrial and avian resources. Documenting the success of restoration activities in meeting this requirement requires habitat monitoring.  In recent communications with MsCIP personnel, the MsCIP lacks a remotely sensed component to its habitat monitoring plan. Additionally, MsCIP personnel have expressed a need for data pertaining to critical habitat utilized by species of interest including piping plovers, red knots, and sea turtles. Remotely sensed habitat analyses provide a cost-effective and accurate means of inventorying current conditions and monitoring change, especially for large areas in which field investigations would prove logistically or fiscally restrictive.  Upland range dune and upland barren dune were delineated as areas at or above 1.524 meters (5 feet) as determined in the Lidar datra utilized for this dataset.  Neighboring habitats bordering these areas are included in the National Wetlands Inventory (NWI) classification system as irregularly flooded (E2EM1P and E2USP).

Tags: cat-island, horn-island, mississippi-barrier-islands, mississippi-coastal-improvements-program-mscip, national-wetlands-inventory-nwi, petit-bois-island, ship-island, usgs-5f8f30d982ce06b040efc97e
Organization: Department of the Interior
Ecological Model Support for the Western Everglades Restoration Project (WERP) Round Two of Four, 2018

Ecological models facilitate evaluation and assessment of alternative approaches to restore the Greater Everglades ecosystem. However, the provision of useful and accessible models is a challenge because there is often a disconnect between model output and its use by decision makers. Joint Ecosystem Modeling (JEM) meets this challenge by providing ecological model output tailored to management decisions. JEM is a partnership among federal and state agencies, universities and other organizations.
Ecological models (i.e., ecological planning tools) were developed and used by JEM during the Central Everglades Planning Project to evaluate potential effects to natural resources in the impacted areas. There is a desire by the planning agencies and bureaus involved in the Western Everglades Restoration Project (WERP) to use these same tools for WERP evaluations of alternative restoration plans. The models of particular interest to the WERP Ecological Subteam are: (1) Marl Prairie Habitat Suitability Index in conjunction with the (2) Cape Sable Seaside Sparrow Helper, (3) (native) Florida apple snail population model (EverSnail), (4) Wading bird distribution and evaluation models (WADEM), (5) Small-sized freshwater fish density, and (6) Alligator habitat suitability index (HSI; includes Breeding Potential metric). This is round 2 (of 4) in the WERP.

Tags: biota, ecological-models, modeling, usgs-5f8f301982ce06b040efc973
Organization: Department of the Interior
Ecological Model Support for the Western Everglades Restoration Project (WERP) Round Four of Four, 2020

Ecological models facilitate evaluation and assessment of alternative approaches to restore the Greater Everglades ecosystem. However, the provision of useful and accessible models is a challenge because there is often a disconnect between model output and its use by decision makers. Joint Ecosystem Modeling (JEM) meets this challenge by providing ecological model output tailored to management decisions. JEM is a partnership among federal and state agencies, universities and other organizations.
Ecological models (i.e., ecological planning tools) were developed and used by JEM during the Central Everglades Planning Project to evaluate potential effects to natural resources in the impacted areas. There is a desire by the planning agencies and bureaus involved in the Western Everglades Restoration Project (WERP) to use these same tools for WERP evaluations of alternative restoration plans. The models of particular interest to the WERP Ecological Subteam are: (1) Marl Prairie Habitat Suitability Index in conjunction with the (2) Cape Sable Seaside Sparrow Helper, (3) (native) Florida apple snail population model (EverSnail), (4) Wading bird distribution and evaluation models (WADEM), (5) Small-sized freshwater fish density, and (6) Alligator Habitat Suitability Index (HSI; includes Breeding Potential metric). This is round 4 (of 4) in the WERP.

Tags: biota, ecological-models, modeling, usgs-5f8f2f8082ce06b040efc96a
Organization: Department of the Interior
SPARROW model inputs and simulated streamflow, nutrient and suspended-sediment loads in streams of the Southwestern United States, 2012 Base Year

The U.S. Geological Survey's (USGS) SPAtially Referenced Regression On Watershed attributes (SPARROW) model was used to aid in the interpretation of monitoring data and simulate streamflow and water-quality conditions in streams across the Southwestern Region of the Unites States. SPARROW is a hybrid empirical/process-based mass balance model that can be used to estimate the major sources and environmental factors that affect the long-term supply, transport, and fate of contaminants in streams. The spatially explicit model structure is defined by a river reach network coupled with contributing catchments. The model is calibrated by statistically relating watershed sources and transport-related properties to monitoring-based water-quality load estimates. This USGS data release includes input and output files associated with 2012 SPARROW simulations of streamflow, total nitrogen, total phosphorus and suspended-sediment load in streams of the Southwestern region. Model construction, calibration and results are described in Wise, Anning, and Miller (2019, https://doi.org/10.3133/sir20195106.

Tags: arizona, california, colorado, idaho, louisiana, nevada, new-mexico, nutrient-loads, oregon, spatial-analysis, spatially-referenced-regressions-on-watershed-attributes-sparrow, statistical-analysis, streamflow, surface-water-quality, suspended-sediment-loads, texas, usgs-5f8f1f1282ce06b040efc90e, utah, wyoming
Organization: Department of the Interior
Polygon shapefiles attributed with morphometric information for barrier islands and spits located along the north coast of Alaska between Cape Beaufort and the U.S.-Canadian border, 1947 to 2019

A suite of morphological metrics were derived from existing shoreline and elevation datasets for barrier islands and spits located along the north-slope coast of Alaska between Cape Beaufort and the U.S.-Canadian border. This dataset includes barrier polygons attributed with morphological metrics from five time periods: 1950s, 1980s, 2000s, 2010s, and 2020s.

Tags: arctic, barrier-island, barrier-island-migration, barrier-spit, beaufort-sea, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, geoscientificinformation, north-slope-coast, north-slope-place_keyword-chukchi-sea, pacific-coastal-and-marine-science-center, pcmsc, permafrost, physical-habitats-and-geomorphology, shoreline-change, state-of-alaska, u-s-geological-survey, usgs, usgs-5f8f1b8582ce06b040efc901
Organization: Department of the Interior
Historical shoreline vectors for barrier islands and spits along the north coast of Alaska between Cape Beaufort and the U.S.-Canadian border, 1947 to 2019

A suite of morphological metrics were derived from existing shoreline and elevation datasets for barrier islands and spits located along the north-slope coast of Alaska between Cape Beaufort and the U.S.-Canadian border. This dataset includes shoreline vectors, including data source and acquisition date, from five time periods: 1950s, 1980s, 2000s, 2010s, and 2020s. The shoreline vectors were combined to produce polygons upon which the metrics were calculated.

Tags: arctic, barrier-island, barrier-island-migration, barrier-spit, beaufort-sea, chukchi-sea, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, geoscientificinformation, north-slope, north-slope-coast, pacific-coastal-and-marine-science-center, pcmsc, permafrost, physical-habitats-and-geomorphology, shoreline-change, state-of-alaska, u-s-geological-survey, usgs, usgs-5f8f1acc82ce06b040efc8fc
Organization: Department of the Interior
Hydrologically Conditioned Digital Elevation Model in Clarksburg, MD

This dataset contains a digital elevation model (DEM) covering two watersheds in Clarksburg, Montgomery County, Maryland. This DEM has been hydrologically conditioned to breach detention basins, culverts, and other potential barriers to surface flow (i.e. ‘pits’).

Tags: digital-elevation-models, lidar, topography, usgs-5f8f130b82ce06b040efc8cf
Organization: Department of the Interior
Sediment mobility and river corridor assessment for a 140-km segment of the mainstem Klamath River below Iron Gate Dam, CA - vegetation mapping 2009

This report documents river response to hydrologic disturbance along a 140-km segment of the mainstem Klamath River below Iron Gate Dam, CA by assessing fundamental indicators of active sediment transport and dynamic changes in riparian vegetation. A combination of field and remote sensing methods were used to document river response to natural rainfall-runoff events (e.g., 2006 and 2017) and managed flow releases (e.g., 2016 to 2019). Field data provide direct evidence of near-bed sediment transport, episodic scour and fill, and surface flushing of alluvial margins. Remote-sensing data provide spatially-continuous summaries of alluvial features and dynamic vegetation changes. These physical datasets validate channel maintenance flows proposed by Shea and others (2016). Sediment mobility thresholds defined at two USGS gaging stations were 5,210 ft3/s at Iron Gate Dam and 8,810 ft3/s at Seiad Valley. Peak flows during water years 2006 and 2017 resulted in 1 to 2 feet of aggradation of the channel bed that was followed by scour during the intervening dry years. Episodic scour and fill resulted in no long-term trend in the mean bed elevations. Surface fines along alluvial margins were flushed by high flows in 2017 with a recurrence interval 5 years. From 2005 to 2009, riparian vegetation was scoured by high flows in 2006 with recurrence intervals of 5 to 10 years, which was followed by vegetation encroachment from 2009 to 2016. Dynamic channel changes caused by high flows with recurrence intervals of 5-years or more initiated dynamic channel changes. The study results will be useful for interpreting linkages among physical and biological processes and evaluating the effectiveness of flow management decisions that impact endangered salmonid populations.

Tags: california, environment, gis, klamath-river, remote-sensing, siskiyou-county, usgs-5f8f0eee82ce06b040efc8a7, vegetation-mapping
Organization: Department of the Interior
Sediment mobility and river corridor assessment for a 140-km segment of the mainstem Klamath River below Iron Gate Dam, CA - vegetation mapping 2016

This report documents river response to hydrologic disturbance along a 140-km segment of the mainstem Klamath River below Iron Gate Dam, CA by assessing fundamental indicators of active sediment transport and dynamic changes in riparian vegetation. A combination of field and remote sensing methods were used to document river response to natural rainfall-runoff events (e.g., 2006 and 2017) and managed flow releases (e.g., 2016 to 2019). Field data provide direct evidence of near-bed sediment transport, episodic scour and fill, and surface flushing of alluvial margins. Remote-sensing data provide spatially-continuous summaries of alluvial features and dynamic vegetation changes. These physical datasets validate channel maintenance flows proposed by Shea and others (2016). Sediment mobility thresholds defined at two USGS gaging stations were 5,210 ft3/s at Iron Gate Dam and 8,810 ft3/s at Seiad Valley. Peak flows during water years 2006 and 2017 resulted in 1 to 2 feet of aggradation of the channel bed that was followed by scour during the intervening dry years. Episodic scour and fill resulted in no long-term trend in the mean bed elevations. Surface fines along alluvial margins were flushed by high flows in 2017 with a recurrence interval 5 years. From 2005 to 2009, riparian vegetation was scoured by high flows in 2006 with recurrence intervals of 5 to 10 years, which was followed by vegetation encroachment from 2009 to 2016. Dynamic channel changes caused by high flows with recurrence intervals of 5-years or more initiated dynamic channel changes. The study results will be useful for interpreting linkages among physical and biological processes and evaluating the effectiveness of flow management decisions that impact endangered salmonid populations.

Tags: california, environment, gis, klamath-river, remote-sensing, siskiyou-county, usgs-5f8f0e7782ce06b040efc897, vegetation-mapping
Organization: Department of the Interior
Magnetotelluric data from Missouri, Arkansas, Tennessee, Illinois, and Kentucky, 2016-2019, station sfm016

This dataset consists of 127 wideband and 21 long-period magnetotelluric (MT) stations collected from 2016-2019 across parts of Missouri, Arkansas, Tennessee, Illinois, and Kentucky. The U.S. Geological Survey (USGS) acquired these data as part of regional investigations into the geologic and tectonic framework of the area and to support mineral resource and geologic hazard investigations. These data have been used to generate a 3D regional conductivity model of the area. Files included in this publication include measured electric- and magnetic-field time series as well as estimated impedance and vertical-magnetic field transfer functions. The data included here are for MT station sfm016 in the Reelfoot Rift survey region. A shapefile with station information for all stations in this dataset is available at https://doi.org/10.5066/P9F7HFH7.

Tags: apparent-resistivity, arkansas, conductivity, electromagnetic-surveying, exploration, geologic-structure, geology-geophysics-and-geochemistry-science-center, geophysics, geoscientificinformation, gggsc, illinois, impedance, kentucky, magnetic-field-earth, magnetotelluric-surveying, magnetotellurics, mineral-resources, mineral-resources-program, mississippi-embayment, missouri, mrp, mt, ozark-plateau, phanerozoic, phase, precambrian, quaternary, reelfoot-rift, saint-francois-mountains, tectonics, tennessee, time-series, tipper, usgs-5f8f055182ce06b040efc825
Organization: Department of the Interior
Bayesian network model detection casefile

This U.S. Geological Survey (USGS) data release represents tabular data that were used to develop the Biological Objectives for the Gulf Coast Project’s Beach Mice Bayesian network model. The USGS partnered with the U.S. Fish and Wildlife Service (USFWS), the Florida Fish and Wildlife Conservation Commission, and their conservation partners to develop a Bayesian Network model that predicts the annual probability of beach mice presence at a local (30-m) scale. The model was used to predict the annual probability of presence across a portion of the USFWS's Central Gulf and Florida Panhandle Coast Biological Planning Unit. This spatial extent included critical habitat for three endangered subspecies of beach mice (Peromyscus polionotus ssp). The annual probability of beach mice presence is predicted from both local and neighborhood habitat characteristics that could be influenced by management actions. When coupled with established population objectives, this study can provide insight into how much habitat is available, how much more is needed, and where conservation or restoration efforts can most efficiently achieve established objectives. The results could be used to help guide strategic habitat conservation and adaptive management of beach mice.

Tags: adaptive-management, bayesian-network, beach-mouse, coastal-dunes, downlisting-criteria, florida, gulf-of-mexico, landscape-conservation, strategic-habitat-conservation, usgs-5f8ee78782ce06b040efc7ae
Organization: Department of the Interior