AndreaBozzo/ceres-open-data-index huggingface dataset:
Updated aeromagnetic compilation over Lake Superior

New aeromagnetic compilations have been produced for the Lake Superior region. The compilations combine previously published aeromagnetic survey data and compilations available from the Minnesota Geological Survey, Wisconsin Geological and Natural History Survey, Ontario Ministry of Energy, Northern Development and Mines, Natural Resources Canada, and U.S. Geological Survey (see MagneticSurveys.pdf). Two compilations were produced which differ in their theoretical observation height. The compilation at 150 m height maintains anomaly shape over geologic features on land; whereas the compilation at 300 m height better maintains anomaly shape for sources observed over Lake Superior and would be preferred for modeling anomaly sources beneath the lake. The compilations were produced using industry standard techniques. The final compilations were analytically continued to a surface drape of 150 m and 300 m above ground and gridded to 250-m and 500-m cell size, respectively. The compilations provide consistent datasets appropriate for mapping onshore geology and magnetic modeling that extends across the lake shore.

Tags: aeromagnetic-surveying, geoscientificinformation, great-lakes, lake-superior, magnetic-field-earth, michigan, minnesota, ontario, usgs-594993a8e4b062508e359ba7, wisconsin
Organization: Department of the Interior
Southern Guam watershed model, PRMS_2016

The PRMS_2016 folder contains the input files needed to run each of the modeled regions in southern Guam, the calibration data files, and a README_PRMS_2016.txt document that describes the contents of this archive and the execution of the model batch files.

Tags: hydrology, mathematical-modeling, usgs-5984a96fe4b05ba66e9d8f5d
Organization: Department of the Interior
Determine the effect of 35% PEROX-AID® (hydrogen peroxide), administered to control mortality from saprolegniasis, on the nitrogen oxidation efficiency of the biofilters of in recirculating aquaculture systems (RAS) for freshwater finfish

This dataset includes laboratory data collected to determine the effects of hydrogen peroxide on nitrification processes in biofilters of recirculating aquaculture systems (RAS).  Data from the laboratory studies were used to inform methods used to conduct field trials in pilot- and commercial-scale RAS.  Biofilter nitrification was monitored by measuring the levels of total ammonia-nitrogen, nitrite-nitrogen, and nitrate-nitrogen in experimental aquaria containing a small biofilter before and after hydrogen peroxide was applied to the test system.  There are 4 excel workbooks associated with this data set: RASHP Range finding Trial.csv, RASHP Definitive Trial.csv, Hydrogen Peroxide Lab Studies.csv, and  DO after HP addition.csv

Tags: 35-perox-aid, hydrogen-peroxide, nitrification, nitrobacter, nitrosomonas, ras, recirculating-aquaculture-systems, usgs-59c12c71e4b091459a5faddf
Organization: Department of the Interior
Using a gradient in food quality to infer drivers of fatty acid content in two filter-feeding aquatic consumers:Data

Inferences about ecological structure and function are often made using elemental or macromolecular tracers of food web structure.  For example, inferences about food chain length are often made using stable isotope ratios of top predators and consumer food sources are often inferred from both stable isotopes and fatty acid (FA) content in consumer tissues.  The use of FAs as tracers implies some degree of macromolecular conservation across trophic interactions, but many FAs are critically important for particular physiological functions and animals may selectively retain or extract these critical FAs from food resources.  Here, we compared spatial variation in two taxa that feed on the same (or similar) food resources to assess which FAs appear to be responding to a common gradient in food resources.  Filter feeding caddisflies (Family Hydropyschidae) and dreissenid mussels (Genus Dreissena) both consume seston, and had similar spatial variation in stable isotopes (C and N) across 13 sites in the Great Lakes region of North America.  Only one of forty-one FAs measured showed strong spatial co-variance in these taxa (α-linolenic acid; ALA), indicating other FAs are responding to other environmental gradients in at least one of these taxa.  Based on other experimental studies, ALA does appear to be driven by food availability in caddisflies, so it seems likely that ALA spatial co-variance reflects spatial variation in this food resource in this study.  We conclude that inferences made using FAs as tracers of food web structure may be very sensitive to the individual taxa studied.

Tags: aquatic-ecosystems, caddisflies, food-web-structure, great-lakes, lake-erie, lake-huron, lake-michigan, lake-ontario, lake-superior, usgs-59b68bcfe4b08b1644dd0d7c, zebra-mussel
Organization: Department of the Interior
7Q10 Records and Basin Characteristics for 173 basins in Arkansas, Iowa, Kansas, Missouri, Nebraska, and Oklahoma (2017)

This data release replicates the methods detailed in the 2017 publication titled "Improving predictions of hydrological low-flow indices in ungaged basins using machine learning" for a different data set. The original data set and the associated readme file for the model archive can be viewed here: https://doi.org/10.5066/F7CR5S4T. The original data set contained streamflow data for sites located in South Carolina, Georgia, and Alabama. The data set used in this data release is for 6 states in the Southern Midwest U.S.A. The datafile contains the annual minimum seven-day mean streamflow with an annual exceedance probability of 90% (7Q10) for 173 basins in Arkansas (AR), Iowa (IA), Kansas (KS), Missouri (MO), Nebraska (NE), and Oklahoma (OK). The datafile also contains 231 basin characteristics from the Gages II dataset (https://water.usgs.gov/lookup/getspatial?gagesII_Sept2011).

Tags: arkansas, iowa, kansas, low-flow, machine-learning, missouri, nebraska, oklahoma, regionalization, statistical-modeling, streamflow, usgs-59b685cae4b08b1644dd0d54
Organization: Department of the Interior
Geospatial Data and Surface-Water Model Archive for a Flood-Inundation Mapping Study of the Wabash River at Lafayette, Indiana.

The development and the generation of the datasets that are published through this data release, were based on the results and findings of the report mentioned here: Kim, M.H., 2018, Flood-inundation maps for the Wabash River at Lafayette, Indiana: U.S. Geological Survey Scientific Investigations Report 2018–5017, 10 p., https://doi.org/10.3133/sir20185017. The model archive dataset contains all relevant files to document and re-run the surface-water (SW) hydraulic model that is discussed in the report.

Tags: flood-inundation-maps, floodplain, floodplains, floods, geographic-information-system, geospatial-analysis, geospatial-data, geospatial-datasets, gis, high-water-marks, hydraulic-engineering, hydraulic-model, hydrology, indiana, inlandwaters, lafayette, maps-and-atlases, model-archive, river, stream, streamflow, tippecanoe-county, united-states, usgs-59b3095fe4b08b1644d79ee5, wabash-river
Organization: Department of the Interior
Geospatial Data and Surface-Water Model Archive for a Flood-Inundation Mapping Study of the Wabash River at Lafayette, Indiana.

The development and the generation of the dataset that is published through this data release, is based on the results and findings of the report mentioned here: Kim, M.H., 2018, Flood-inundation maps for the Wabash River at Lafayette, Indiana: U.S. Geological Survey Scientific Investigations Report 2018–5017, 10 p., https://doi.org/10.3133/sir20185017. The geospatial dataset contains final versions of the raster and vector geospatial data and its related metadata that are discussed in the report.

Tags: flood-inundation-maps, floodplain, floodplains, floods, geographic-information-system, geospatial-analysis, geospatial-data, geospatial-datasets, gis, high-water-marks, hydraulic-engineering, hydraulic-model, hydrology, indiana, inlandwaters, lafayette, maps-and-atlases, model-archive, river, stream, streamflow, tippecanoe-county, united-states, usgs-59b308fee4b08b1644d79ee2, wabash-river
Organization: Department of the Interior
Bathymetric Data Collection Approx. One Year after Levee Work Completion in the Green River near Tukwila, Washington on 20160927

Field Data The fourth ADCP data collection effort for this project was done on September 27th, 2016 represented by these bathymetric point locations on the Green River near Tukwila, WA. Stream surface conditions in the vicinity of the project area were relatively flat and water clarity was good. The upstream and downstream extent of the fishing site was identified by the Muckleshoot’s fisheries biologist Martin Fox to correspond with a traditional fishing location. The upstream extent of the surveyed stream reach was defined by a slight riprap bank geometry change causing a seam in the stream flow. The seam is an observable line on the water surface separating two different flow regimes. Looking downstream and to the right of this seam, a zone of reverse flow was observed off the right bank of the fishing site. At this flow both submerged and unsubmerged woody debris had accumulated along the right bank in the upper extent of the fishing site. The lower extent of the surveyed stream reach was defined where uniform stream flow again occurred across the channel width. Processed Data USGS provided the mean surface water elevation (or mean stage) collected at real-time streamgaging station No. 12113344 approximately 11 river miles upstream of the project surveyed site. The mean stage was estimated over the time period of ADCP data collection for this dataset and was used as the reference elevation for calculating the bed-elevation point data. Latitude, longitude and water depth were exported from the ADCP instrument using VMT (The Velocity Mapping Toolbox), a processing and visualization suite for moving-vessel ADCP measurements (Parsons, D.R., et al., 2013). These data are presented in the accompanying spreadsheet (GreenRiverBathymetry_20160927.csv) where the bed-elevation of the river bottom was calculated by subtracting the measured depth from the mean stage.

Tags: bathymetry, usgs-59b2ff2ee4b08b1644d79eae
Organization: Department of the Interior
Inputs and Selected Predictions of the CBTN_v5 and CBTP_v5 SPARROW Models for the Chesapeake Bay Watershed

The CBTN_v5 and CBTP_v5 SPARROW models were developed to support inferences about causes of observed changes in nitrogen and phosphorus (respectively) fluxes in Chesapeake Bay tributaries between 1992 and 2012. Model inputs and outputs are included in three files, which are described below. Detailed documentation of the SPARROW modeling technique is available at https://pubs.er.usgs.gov/publication/tm6B3.

Tags: nutrients, usgs-59bacdd8e4b091459a563d08
Organization: Department of the Interior
Bathymetric Data Collection for Post-levee Repair in the Green River near Tukwila, Washington on 20160512

Field Data The third ADCP data collection effort for this project was done on May 12, 2016 represented by these bathymetric point locations on the Green River near Tukwila, WA . The stream surface in the vicinity of the project area was flat and water clarity was good. The upstream and downstream extent of the fishing site was identified by the Muckleshoot’s fisheries biologist Martin Fox to correspond with the tribes’ traditional fishing location. Reverse flow was first observed immediately along the right bank at the upstream end of the fishing site where the channel width slightly increases. This area of reverse flow persisted for approximately 2 meters downstream where uniform flow returned across the stream channel. A total of 29 cross-sections were surveyed with the ADCP. The uppermost cross section was surveyed one meter above the riprap bank geometry change. Each successive cross section was approximately one meter downstream from the previous. The most downstream cross section was surveyed where uniform flow was observed across the entire stream channel width. Processed Data USGS provided the mean surface water elevation (or mean stage) as reported for the real-time steamgaging station No. 12113344 approximately 11 river miles upstream of the project surveyed site. The mean stage was estimated over the time period of ADCP data collection for this dataset and was used as the reference elevation for calculating the bed-elevation point data. Latitude, longitude and water depth were exported from the ADCP instrument using VMT (The Velocity Mapping Toolbox), a processing and visualization suite for moving-vessel ADCP measurements (Parsons, D.R., et al., 2013). These data are presented in the accompanying spreadsheet (GreenRiverBathymetry_20160512.csv) where the bed-elevation of the river bottom was calculated by subtracting the measured depth from the mean stage.

Tags: bathymetry, usgs-59b2feefe4b08b1644d79eab
Organization: Department of the Interior
Stream Segments for the southern Guam watershed model, PRMS_2016

The stream segments available here were used in the Precipitation Runoff Modeling System (PRMS) of southern Guam documented by Rosa and Hay (2017). A Geographic Information System (GIS) file for the stream segments is provided as a shapefile with attributes ParentSeg, Region, and RegionSeg identifying the numbering convention used in the PRMS_2016 southern Guam model parameter files and Rosa and Hay (2017) report. Stream segments were derived using the processing steps outlined in Viger and Leavesley (2007) describing drainage network processing and a 5-meter digital elevation map (DEM) derived by Johnson (2012) using the Joint Airborne LIDAR Bathymetry Technical Center of Expertise topobathy data (National Oceanic and Atmospheric Administration, 2007).

Tags: hydrology, mathematical-modeling, usgs-59889ceee4b05ba66e9ffe92
Organization: Department of the Interior
Bathymetric Data Collection during high-flow event in the Green River near Tukwila, Washington on 20160121

Field Data: The second ADCP data collection effort for this project was done on January 21, 2016 represented with these bathymetric point locations on the Green River near Tukwila, WA. The stream surface in the vicinity of the project area was relatively flat and water clarity was fair. Stream stage (water-level elevation) was 6.83 ft. higher relative to the July 2015 ADCP data collection effort. The upstream and downstream extent of the fishing site was identified by the Muckleshoot’s fisheries biologist Martin Fox to correspond with the tribes’ traditional fishing location. Reverse flow was first observed immediately along the right bank at the upstream end of the fishing site where the channel width slightly increases. This area of reverse flow was observed for approximately four meters (0.004 km) downstream where uniform flow returned across the stream channel. Due to the relatively high stage during the January 2016 data collection, a rubberized inflatable boat (R.I.B.) with a 15 horse-power outboard motor was used to collect the ADCP data. The transects measured on this date are not exactly the same as those measured in July 2015 due to the swift water conditions. As a result, multiple overlapping transects were measured to ensure high resolution XYZ point data that would be comparable to the July 2015 data. Transects measured here included a “zig-zag” transect that traverses multiple times between the upper and lower and near right and left bank extent, two parallel longitudinal transects in the immediate vicinity of the fishing site, one longitudinal transect along the left bank, and four parallel latitudinal transects covering the upper and lower extent of the fishing site. Processed Data: USGS provided the mean surface water elevation(or mean stage) collected at real-time streamgaging station No. 12113344 approximately 11 river miles upstream of the project surveyed site. The mean stage was estimated over the time period of ADCP data collection for this dataset and was used as the reference elevation for calculating the bed-elevation point data. Latitude, longitude and water depth were exported from the ADCP instrument using VMT (The Velocity Mapping Toolbox), a processing and visualization suite for moving-vessel ADCP measurements (Parsons, D.R., et al., 2013). These data are presented in the accompanying spreadsheet (GreenRiverBathymetry_20160121.csv) where the bed-elevation of the river bottom was calculated by subtracting the measured depth from the mean stage. An offset was applied to each measurement point in both the July and January datasets to correct for an error discovered during data post-processing, as explained in a comment within the attached spreadsheet.

Tags: bathymetry, usgs-59b2fe70e4b08b1644d79ea4
Organization: Department of the Interior
Bathymetric Data Collected for Pre-levee Repair in the Green River near Tukwila, Washington on 20150730

Field Data: The first ADCP data collection effort for this project was done on July 30th, 2015 represented with these bathymetric point locations on the Green River near Tukwilla, WA. Stream surface conditions in the vicinity of the project area were relatively flat and water clarity was good. The upstream and downstream extent of the fishing site was identified by the Muckleshoot’s fisheries biologist Martin Fox to correspond with a traditional fishing location. The upstream extent of the surveyed stream reach was defined by a slight riprap bank geometry change causing a seam in the stream flow. The seam is an observable line on the water surface separating two different flow regimes. Looking downstream and to the right of this seam, a zone of reverse flow was observed off the right bank of the fishing site. The lower extent of the surveyed stream reach was defined where uniform stream flow again occurred across the channel width. The uppermost surveyed cross section was collected one meter above the riprap bank geometry change. Each successive cross section was one meter downstream from the previous one and are labeled as minor cross sections. The U.S. Army Corps of Engineers identiied two major cross section locations and were incorporated into the meter interval sequence of cross sections. GPS data points were collected along major and minor cross sections for this bathymetry dataset. Processed Data: USGS provided the mean surface water elevation (or mean stage) collected at real-time streamgageing station No. 12113344 approximately 11 river miles upstream of the project surveyed site. The mean stage was estimated over the time period of ADCP data collection for this dataset and was used as the reference elevation for calculating the bed-elevation point data. Latitude, longitude and water depth were exported from the ADCP instrument using VMT (The Velocity Mapping Toolbox), a processing and visualization suite for moving-vessel ADCP measurements (Parsons, D.R., et al., 2013). These data are presented in the accompanying spreadsheet (GreenRiverBathymetry_20150730.csv) where the bed-elevation of the river bottom was calculated by subtracting the measured depth from the mean stage. An offset was applied to each measurement point in both the July and January datasets to correct for an error discovered during data post-processing.

Tags: bathymetry, usgs-59b2fe1fe4b08b1644d79ea0
Organization: Department of the Interior
Model Archive of Cedar Creek at Auburn, IN, surface-water flow model

Dataset is a model archive containing all relevant files to document and re-run the models that are discussed in the report: 
Fowler, K.K., 2018, Flood-Inundation Maps for Cedar Creek at 18th Street at Auburn, Indiana: U.S. Geological Survey Scientific Investigations Report 2017-5156.

Tags: auburn-in, cedar-creek-at-auburn, dekalb-county, mathematical-simulation, surface-water, usgs-59b2f659e4b08b1644d78509
Organization: Department of the Interior
Shapefiles of the flood-inundation maps for Cedar Creek at 18th Street at Auburn, Indiana

Digital flood-inundation maps for a 1.9-mile reach of Cedar Creek at 18th Street at Auburn, Indiana, from the First Street Bridge, downstream to the streamgage at 18th Street, then ending approximately 1100 ft downstream of the Baltimore and Ohio railroad bridge, 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 on Cedar Creek at 18th Street at Auburn, Indiana (station number 04179520). Near-real-time stages at this streamgage may be obtained from the USGS National Water Information System at http://waterdata.usgs.gov/ or the National Weather Service (NWS) Advanced Hydrologic Prediction Service at http://water.weather.gov/ahps/, although forecasts of flood hydrographs are not available at this site (ABBI3). 
Flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The hydraulic model was calibrated by using the most current stage-discharge relation at Cedar Creek at 18th Street at Auburn, Ind., streamgage and the documented high-water marks from the flood of March 11, 2009. The calibrated hydraulic model was then used to compute seven water-surface profiles for flood stages referenced to the streamgage datum and ranging from 7 feet, or near bankfull, to 13 feet. 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-foot horizontal resolution) to delineate the area flooded at each water level.

Tags: auburn-in, cedar-creek-at-18th-street-auburn, flood, geospatial-analysis, usgs-59b2f614e4b08b1644d78506
Organization: Department of the Interior
Airborne geophysical survey: Chugach-Yakutat

Aeromagnetic data were collected along flight lines by instruments in an aircraft that recorded magnetic-field intensity values and location. In surveys such as this one where the data were originally collected in digital form and not digitized from contour maps, the information we provide typically includes latitude, longitude, magnetic anomaly in nanoTeslas, and intermediate values used to derive the magnetic anomaly such as total magnetic field.

Tags: aeromagnetic-surveying, f02261-valdez-cordova, f02282-yakutat, field-monitoring-stations, geophysics, geospatial-datasets, magnetic-field-earth, usgs-59bac223-d47a-4089-877b-6bb5d11bed18
Organization: Department of the Interior