AndreaBozzo/ceres-open-data-index huggingface dataset:
Concentration of nitrate and other water-quality constituents in groundwater from the water table beneath forage fields receiving seasonal applications of dairy manure, Whatcom County, Washington (2015)

Nitrate contamination of groundwater is widespread and persistent in the shallow surficial aquifer of northwestern Whatcom County where dairy farming and forage production is a primary land-use activity. Application of dairy manure to cropland is intended to provide nutrients for crop growth and improve soil quality with the ideal goal to match the rate of nutrient application to that rate of nutrient removal by the crop. A study to test an alternate strategy for scheduling manure application to fields based on hydrologic properties of specific soils and fields, measurements of manure and soil parameters, and current and forecasted precipitation for the three days immediately following manure application is being evaluated by the Whatcom County Conservation District. This alternative manure application is part of the Application Risk Management Program (ARM) http://www.whatcomcd.org/arm. Concentrations of nitrogen (in the form of nitrate, ammonia, and total nitrogen) chloride, phosphorus, and bacteria were measured in groundwater beneath dairy forage fields receiving seasonal application of dairy manure; with both conventional or alternative manure application schedules. Samples of groundwater were collected from wells screened across the water table and using an inflatable packer to isolate the upper six inches of the saturated zone from deeper portions of the well.  Groundwater samples were collected from three fields at approximately monthly intervals for periods ranging from 1 to 3 years. Nitrate concentrations in groundwater from near the water table exceeded US EPA drinking water contaminant levels of 10mg/L in most samples. Concentrations of nitrate and other water quality constituents varied seasonally.

Tags: groundwater, manure, nitrate-contamination, sumas-blaine-aquifer, usgs-575f2cc2e4b04f417c2b068f, washington, water-quality, whatcom-county
Organization: Department of the Interior
Large River Monitoring Forum Fish Assemblage Database 2016

The Large River Monitoring Forum compiled fish assemblage data for five large rivers in the U.S. as a part of a coordinated effort to compare and contract river monitoring efforts in large river systems.  Fish community data from five monitoring programs were integrated to create the standardized dataset. 
Authors: Timothy D. Counihan1, Ian R. Waite2, Andy Casper3, David Ward4, Jennifer Sauer5, Elise Irwin6, Colin Chapman7, Brian Ickes5, Craig Paukert8, John Kosovich9, and Jennifer M. Bayer10 
1-	United States Geological Survey, Western Fisheries Research Center, Columbia River Research Laboratory, 5501A Cook-Underwood Road, Cook, WA 98605; email:tcounihan@usgs.gov; Phone:509-538-2299; Fax:509-538-2843 
2-	United States Geological Survey, Oregon Water Science Center, 2130 S.W. Fifth Avenue 
Portland, OR 97201 
3-	Illinois Natural History Survey, Illinois River Biological Station, 704 N. Schrader, Havana IL 62644 
4-	United States Geological Survey, Upper Midwest Environmental Sciences Center 2630 Fanta Reed Road, La Crosse, Wisconsin 54603  
5-	United States Geological Survey, Grand Canyon Monitoring and Research Center, 2255 North Gemini Drive, Flagstaff, AZ 86001-1637 
6-	United States Geological Survey, Alabama Cooperative Fish and Wildlife Research Unit, School of Forestry and Wildlife Sciences, 602 Duncan Drive, Auburn University, Auburn, AL 36849-5418 
7-	Oregon Department of Fish and Wildlife, Northwest Regional Office, 17330 SE Evelyn Street, Clackamas, OR 97015 
8-	United States Geological Survey, Missouri Cooperative Fish and Wildlife Research Unit, Department of Fisheries and Wildlife, 302 Anheuser-Busch Natural Resources Building, University of Missouri, Columbia, MO 65211 
9-	U.S. Geological Survey, Core Science Analytics, Synthesis, &amp; Libraries, Lakewood, CO  
10-	United States Geological Survey, Northwest Region &amp; Pacific Northwest Aquatic Monitoring Partnership, 909 1st Ave, 8th Floor Seattle, WA 98104

Tags: biota, colorado-river, columbia-river, fish, fish-assemblages, fish-community-analysis, illinois-river, inlandwaters, invasive-species, large-river, mississippi-river, monitoring, native-species, species-richness, tallapoosa-river, usgs-575ee33fe4b04f417c2b05ca
Organization: Department of the Interior
Microhabitat and Vegetation Selection by Giant Gartersnakes Associated with a Restored Marsh in California

These data describe differences in percent cover of microhabitats and vegetation types at giant gartersnake locations and random points paired with giant gartersnake locations for use in case-control logistic regression. The data also include information on the individual snake, the year of observation, and whether the individual had moved from its previous location to allow for correlation of the data within individuals and locations

Tags: california, central-valley, gilsizer-slough, habitat-selection, reptile, sacramento-valley, usgs-5759fa87e4b04f417c264064
Organization: Department of the Interior
Interpretation of Bottom Features from National Oceanic and Atmospheric Administration (NOAA) Survey H12012 Offshore in Northeastern Long Island Sound (Geographic, WGS84, H12012_INTERP.SHP)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Connecticut Department of Energy and Environmental Protection (CT DEEP), has produced detailed geologic maps of the coastal sea floor. Bathymetry, originally collected by NOAA for charting purposes, provides a fundamental framework for research and management activities in Long Island Sound, shows the terrain of the seabed, and provides information on sediment transport and benthic habitat. During April 2009 NOAA completed hydrographic survey H12012 offshore in the northeastern Sound, and during April 2010 and May 2010 bottom photographs and surficial sediment data were acquired as part of two ground-truth reconnaissance surveys of this area. Two interpretive data layers were derived from the multibeam echo-sounder and the ground-truth data used to verify them. For more information on the ground-truth surveys see: https://cmgds.marine.usgs.gov/fan_info.php?fan=2010-010-FA and https://cmgds.marine.usgs.gov/fan_info.php?fan=2010-015-FA.

Tags: atlantic-ocean, black-point, cmgp, coastal-and-marine-geology-program, connecticut, connecticut-department-of-energy-and-environmental-protection, connecticut-river, cornfield-point, ct-deep, dredge-spoils, esri-shapefile, field-activity-number-2010-010-fa, field-activity-number-2010-015-fa, geoscientificinformation, gravelly-pavement, h12012, hatchett-point, info-bank-b-15-10-li, info-bank-r-10-10-li, interpretations, long-island-sound, long-sand-shoal, marine-geology, megaripples, national-oceanic-and-atmospheric-administration, noaa, noaa-survey-h12012, north-america, oceans, ofr-2013-1060, old-lyme, old-saybrook, open-file-report-2013-1060, polygon, rocky, sand-waves, scientific-interpretation, sea-floor-characteristics, u-s-east-coast, u-s-geological-survey, united-states, usgs, usgs-575947e4-48f1-4feb-a859-24644af806b5, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Maximum inundation limits resulting from hypothetical dam failure of the Lago El Guineo Dam, Orocovis, Puerto Rico, under sunny day condition - polygon shapefile

The U.S. Geological Survey, in cooperation with the Puerto Rico Electric Power Authority, completed a hydrologic and hydraulic analysis to assess the potential hazard to human life and property associated with the hypothetical failure of the Lago El Guineo Dam. The Lago El Guineo Dam is within the headwaters of the Río Grande de Manatí and impounds a drainage area of about 4.25 square kilometers.
This geospatial dataset in shapefile format, guineo_sunny_day.shp, contains the maximum inundation limits resulting from hypothetical dam failure of the Lago El Guineo Dam, under sunny day condition (no precipitation).

Tags: dam-failure, flood, hec-ras, inundation, lago-el-guineo, orocovis, puerto-rico, usgs-57586143e4b04f417c2520f0
Organization: Department of the Interior
Maximum inundation limits resulting from hypothetical dam failure of the Lago El Guineo Dam, Orocovis, Puerto Rico, under a 24-hour 100-year recurrence rainfall event- polygon shapefile

The U.S. Geological Survey, in cooperation with the Puerto Rico Electric Power Authority, completed a hydrologic and hydraulic analysis to assess the potential hazard to human life and property associated with the hypothetical failure of the Lago El Guineo Dam. The Lago El Guineo Dam is within the headwaters of the Río Grande de Manatí and impounds a drainage area of about 4.25 square kilometers.
This geospatial dataset in shapefile format, Guineo 24hr_100yr.shp, contains the maximum inundation limits resulting from hypothetical dam failure of the Lago El Guineo Dam, under a 24-hour 100-year recurrence rainfall event.

Tags: dam-failure, flood, hec-ras, inundation, lago-el-guineo, orocovis, puerto-rico, usgs-57585f98e4b04f417c2520e4
Organization: Department of the Interior
Maximum inundation limits resulting from hypothetical dam failure of the Lago El Guineo Dam, Orocovis, Puerto Rico, under a 24-hour probable maximum precipitation recurrence rainfall event - polygon shapefile

The U.S. Geological Survey, in cooperation with the Puerto Rico Electric Power Authority, completed a hydrologic and hydraulic analysis to assess the potential hazard to human life and property associated with the hypothetical failure of the Lago El Guineo Dam. The Lago El Guineo Dam is within the headwaters of the Río Grande de Manatí and impounds a drainage area of about 4.25 square kilometers.
This geospatial dataset in shapefile format, guineo_24hr_pmp.shp, contains the maximum inundation limits resulting from hypothetical dam failure of the Lago El Guineo Dam, under a 24-hour probable maximum precipitation recurrence rainfall event.

Tags: dam-failure, flood, hec-ras, inundation, lago-el-guineo, orocovis, puerto-rico, usgs-57585e4de4b04f417c2520da
Organization: Department of the Interior
Selected chemicals, solids, and microorganisms that are used in agriculture or produced as by-products of agriculture in the United States as of 2009

This data set brings together and categorizes many of the chemicals, solids, and microorganisms that are used in agriculture or produced as by-products of agriculture in the United States (as of 2009). Each entry in the data set includes the name, Chemical Abstracts Service Registry Number, purpose(s) in agriculture, and a reference. For pesticides and their degradates, the pesticidal use, parent pesticide, and the United States Environmental Protection Agency Pesticide Chemical Code are included. 
The data were compiled as part of a U.S. Geological Survey study to improve the understanding of field-scale and watershed-scale hydrology and the environmental behavior of individual chemicals. The goals of the study were to provide a foundation of understanding for making optimal management decisions and to help set the expectations of water quality improvements which can result from changes in agricultural management and policy decisions.

Tags: agricultural-chemicals, antimicrobial, chemical-transformation, fertilizer, fungicide, herbicide, hormone, inert, insecticide, nutrient, nutrients, pesticide, pesticides, rodenticide, transformation-product, usgs-57571e54e4b04f417c23f2fa
Organization: Department of the Interior
Percent agricultural land enrolled in the Conservation Reserve Program for selected Chesapeake Bay watersheds

These data report the percent of agricultural land, within each selected Chesapeake Bay watershed, that is enrolled in the Conservation Reserve Program (CRP), based on county-level data for each year from the U.S. Department of Agriculture Farm Service Agency.

Tags: agriculture, chesapeake-bay, delaware, district-of-columbia, james-river, land-use-change, maryland, new-york, pennsylvania, potomac-river, rappahannock-river, surface-water-quality, susquehanna-river, usgs-577ebcb0e4b0ef4d2f44f05b, virginia, west-virginia
Organization: Department of the Interior
Data release for journal article titled, "Forecasting tidal marsh elevation and habitat change through fusion of Earth observations and a process model"

Reducing uncertainty in data inputs at relevant spatial scales can improve tidal marsh forecasting models, and their usefulness in coastal climate change adaptation decisions. The Marsh Equilibrium Model (MEM), a one-dimensional mechanistic elevation model, incorporates feedbacks of organic and inorganic inputs to project elevations under sea-level rise (SLR) scenarios. We tested the feasibility of deriving two key MEM inputs – average annual suspended sediment concentration (SSC) and aboveground peak biomass – from remote sensing data in order to apply MEM across a broader geographic region. We analyzed the precision and representativeness (spatial distribution) of these remote sensing inputs to improve understanding of our study region, a brackish tidal marsh in San Francisco Bay, and to test the applicable spatial extent for coastal modeling. We compared biomass and SSC models derived from Landsat 8, Digital Globe World View-2 and hyperspectral airborne imagery. Landsat 8-derived inputs were evaluated in a MEM sensitivity analysis. Trend response surface analysis identified significant diversion (P &lt; 0.05) between field and remote sensing-based model runs at 60 years due to model sensitivity at the marsh edge (80 – 140 cm NAVD88), though at 100 years, elevation forecasts differed less than 10 cm across 97% of the marsh surface (150 – 200 cm NAVD88). Results demonstrate the utility of Landsat 8 for landscape scale tidal marsh elevation projections due to its comparable performance with the other sensors, temporal frequency and cost. Integration of remote sensing data with MEM should advance regional projections of marsh vegetation change by better parameterizing MEM inputs spatially. Improving information for coastal modeling will support planning for ecosystem services, including habitat, carbon storage and flood protection.

Tags: elevation, usgs-574f3749e4b0ee97d51abef6
Organization: Department of the Interior
Regional Hydraulic Geometry Characteristics of Stream Channels in the Ouachita Mountains of Arkansas

Seventeen streamflow-gaging stations, operated by the U.S. Geological Survey and distributed across the Ouachita Mountains of Arkansas and Oklahoma were selected for analysis. Regional hydraulic geometry curves relating drainage area to bankfull dimensions -- cross-sectional area, top width, mean depth, and streamflow -- were developed from data collected at the selected streamflow-gaging stations. Bed material sampling was conducted to obtain information on the particle-size distributions of the streambed materials and to determine the shapes of the individual particles comprising the streambeds. The stream reaches at each stream gage location were classified using the Rosgen Level II stream type (Rosgen, 1996) based on the average of stream channel metrics collected from site cross-sections and profiles. 
References 
Rosgen, D.L., 1996, Applied river morphology: Pagosa Springs, Colorado, Wildland Hydrology Books, 390 p. 
Child item contains data and supporting metadata related to: 
1) Streamflow-gaging stations -- geospatial point shapefile of the 17 selected streamflow-gaging stations 
2) Watersheds -- geospatial polygon shapefile of the watersheds above the 17 selected streamflow-gaging stations 
3) Streambed particle data -- particle size and shape data collected at the 17 selected stream reaches 
4) Site information and photos -- stream geometry, classification, descriptions and photos of the 17 selected stream reaches

Tags: alum-fork-saline-river-ar, arkansas, bankfull, barnes-branch-ar, bed-load, big-fork-stream-ar, caddo-river-ar, cossatot-river-ar, fouche-lafave-river-ar, geomorphology, glazypeau-creek-ar, hydraulic-geometry, jackson-creek-ar, kiamichi-river-ok, lewis-creek-ar, little-missouri-river-ar, little-sugarloaf-creek-ar, mountain-fork-ok, oklahoma, ouachita-mountains, regional-curves, rock-creek-ar, saline-river-ar, stream-classification, twomile-creek-ar, usgs-574f0f84e4b0ee97d51a859a
Organization: Department of the Interior
County Boundaries for Selected Items from the Census of Agriculture, 1950-2012 (COA_STCOFIPS)

This polygon shapefile provides county or county-equivalent boundaries for the conterminous United States and was created specifically for use with the data tables published as Selected Items from the Census of Agriculture for the Conterminous United States, 1950-2012 (LaMotte, 2015). This data layer is a modified version of Historic Counties for the 2000 Census of Population and Housing produced by the National Historical Geographic Information System (NHGIS) project, which is identical to the U.S. Census Bureau TIGER/Line Census 2000 file, with the exception of added shorelines. Excluded from the CAO_STCOFIPS boundary layer are Broomfield County, Colorado, Menominee County, Wisconsin, and the independent cities of Virginia with the exception of the 3 county-equivalent cities of Chesapeake City, Suffolk, and Virginia Beach. The census of agriculture was not taken in the District of Columbia for 1959, but available data indicate few if any farms in that area, the polygon was left in place to preserve the areas of the surrounding counties. Baltimore City, Maryland was combined with Baltimore County and the St. Louis City, Missouri, was combined with St. Louis County. La Paz County, Arizona was combined with Yuma County, Arizona and Cibola County, New Mexico was combined with Valencia County, New Mexico. Minor county border changes were at a level of precision beyond the scope of the data collection. A major objective of the census data tabulation is to maintain a reasonable degree of comparability of agricultural data from census to census. The tabular data collection is from 14 different censuses where definitions and data collection techniques may change over time and while the data are mostly comparable, a degree of caution should be exercised when using the data in analysis procedures. While the data are at a county-level resolution, a regional approach is more appropriate than a county-by-county analysis. The main purpose of this layer is to provide a base to generate a county raster for the allocation of agricultural census values to specific (agricultural) pixels. Vector format is provided so the raster pixel size can be user designated.
References cited:
LaMotte, A.E., 2015, Selected items from the Census of Agriculture at the county level for the conterminous United States, 1950-2012: U.S. Geological Survey data release, http://dx.doi.org/10.5066/F7H13016.
National Historical Geographic Information System, Minnesota Population Center, 2004, Historic counties for the 2000 census of population and housing: Minneapolis, MN, University of Minnesota, accessed 03/18/2013 at http://nhgis.org

Tags: county-boundaries, usgs-574ef8f6e4b0ee97d51a853e
Organization: Department of the Interior
Processed, high-resolution, chirp seismic-reflection data collected in San Pablo Bay (northern California) during field activity 2014-639-FA from 10/06/2014 to 10/10/2014

This dataset includes processed, high-resolution chirp seismic-reflection data collected in 2014 by the U.S. Geological Survey (USGS) in San Pablo Bay, northern California.

Tags: bathymetry, bathymetry-and-elevation, cmgp, coastal-and-marine-geology-program, continental-margins, contra-costa-county, geoscientificinformation, mare-island, marin-county, oceans, pacific-coastal-and-marine-science-center, pcmsc, pinole, pinole-point, san-francisco-bay, san-pablo-bay, sears-point, seismic-reflection-profiling, solano-county, sonoma-county, state-of-california, sub-bottom-profiling, tubbs-island, u-s-geological-survey, usgs, usgs-574dfda4e4b07e28b66901f9, vallejo
Organization: Department of the Interior
Effects of Pseudomonas fluorescens, strain CL145A, SDP (Zequanox®) on non-target macroinvertebrates: Gammarus sp. (Order Amphipoda) and Hexaginid (Family Ephemeridae) mayfly nymphs

Zequanox® is a commercial formulation of the killed bacterium, Pseudomonas fluorescens (strain CL145A) that has USEPA approval for use in open water to kill dreissenid mussels.  Previous nontarget studies demonstrated the safety and selectivity of the product, but the database is limited for macroinvertebrate taxa and exposure conditions. We evaluated the safety of the product to two high value macroinvertebrates, the amphipod Gammarus lacustris lacutris, and nymphs of the burrowing mayfly, Hexagenia spp., at the maximum approved concentration (100 mg/L A.I.) and exposure duration (8 h).  Survival of animals was measured at the end of  8 h exposure and at  24 h post-exposure and 96 h post-exposure.  Additionally, histological changes in the digestive tract of both species were compared with controls at 96 h post-exposure.  The results showed no effect of Zequanox on survival of either species.  Survival of G. lacustris exceeded 85% in all concentrations at all three sampling time points.  Survival of Hexagenia spp. ranged from 71% (control) to 91% (50 mg/L) at 8 h, 89-93% at 24 h post-exposure and 70-73% at 96 post-exposure h across all treatments.   We also saw no evidence of pathology in the visceral organs of treated animals.  Our results indicate that application of Zequanox at the maximum approved concentration and exposure duration does not cause acute mortality or pathology to G. lacustris and Hexagenia spp.

Tags: amphipod, dreissenid-mussels, mayfly, nontarget, usgs-574db230e4b07e28b668fd2c, zequanox
Organization: Department of the Interior
Wisconsin Lake Temperature Metrics Stable Clarity

It is well recognized that the climate is warming in response to anthropogenic emission of greenhouse gases. Over the last decade, this has had a warming effect on lakes. Water clarity is also known to effect water temperature in lakes. What is unclear is how a warming climate might interact with changes in water clarity in lakes. As part of a project at the USGS Office of Water Information, several water clarity scenarios were simulated for lakes in Wisconsin to examine how changing water clarity interacts with climate change to affect lake temperatures at a broad scale.
This data set contains the following parameters: year, WBIC, durStrat, max_schmidt_stability, mean_schmidt_stability_JAS, mean_schmidt_stability_July, SthermoD_mean_JAS, SthermoD_mean, lake_average_temp, peak_lake_average_temp, lake_average_temp_JAS, mean_epi_temp, mean_hypo_temp, mean_surf_temp, mean_bottom_temp, peak_surf_temp, peak_bottom_temp, mean_surf_temp_JAS, mean_bottom_temp_JAS, mean_bottom_temp_365, mean_surf_temp_365, mean_1m_temp, mean_surf_JA, GDD_wtr_5c, GDD_wtr_10c, volume_mean_m_3, simulation_length_days, mean_volumetric_temp, kd, out_val calculated for 2210 lakes.

Tags: 007, 012, climate-change, environment, hydrodynamic-model, inlandwaters, lakes, limnology, united-states, us, usgs-57473491e4b07e28b663d822, water-clarity, water-quality, water-temperature, wi, wisconsin
Organization: Department of the Interior