AndreaBozzo/ceres-open-data-index huggingface dataset:
Excel spreadsheet finding individual storms for use in the Stochastic Empirical Loading Dilution Model created for U.S. Geological Survey Scientific Investigations Report 2019-5053, 116 p., https://doi.org/10.3133/sir20195053

Spreadsheet for identifying individual storms for the Stochastic Empirical Loading Dilution Model (SELDM) . The spreadsheet was used in conjunction with the SELDM simulations used in the publication: Stonewall, A.J., and Granato, G.E., 2019, Assessing potential effects of highway and urban runoff on receiving streams in total maximum daily load watersheds in Oregon using the Stochastic Empirical Loading and Dilution Model: U.S. Geological Survey Scientific Investigations Report 2019-5053, 116 p., https://doi.org/10.3133/sir20195053.

Tags: bear-creek, biota, copper, mill-creek, oregon, phosphorus, sediment-transport, suspended-material-water, usgs-5d03d6d4e4b0e3d3115805d4
Organization: Department of the Interior
Guidance document for using the Stochastic Empirical Loading Dilution Model created for U.S. Geological Survey Scientific Investigations Report 2019-5053, 116 p., https://doi.org/10.3133/sir20195053

This document provides guidance for using the Stochastic Empirical Loading Dilution Model (SELDM) in the state of Oregon. The document is meant as an accompaniment  to the publication: Stonewall, A.J., and Granato, G.E., 2018, Assessing potential effects of highway and urban runoff on receiving streams in total maximum daily load watersheds in Oregon using the Stochastic Empirical Loading and Dilution Model: U.S. Geological Survey Scientific Investigations Report 2019-5053, 116 p., https://doi.org/10.3133/sir20195053

Tags: bear-creek, biota, copper, mill-creek, oregon, phosphorus, sediment-transport, suspended-material-water, usgs-5d03d638e4b0e3d3115805ca
Organization: Department of the Interior
Excel spreadsheet used for calculating highway site characteristics for use in the Stochastic Empirical Loading Dilution Model created for U.S. Geological Survey Scientific Investigations Report 2019-5053, 116 p., https://doi.org/10.3133/sir5053

Spreadsheet used to calculate Highway Site characteristics (Drainage area, slope and impervious fraction) for the Stochastic Empirical Loading Dilution Model (SELDM) . The spreadsheet was used in conjunction with the SELDM simulations used in the publication: Stonewall, A.J., and Granato, G.E., 2018, Assessing potential effects of highway and urban runoff on receiving streams in total maximum daily load watersheds in Oregon using the Stochastic Empirical Loading and Dilution Model: U.S. Geological Survey Scientific Investigations Report 2019-5053, 116 p., https://doi.org/10.3133/sir20195053.

Tags: bear-creek, biota, copper, mill-creek, oregon, phosphorus, sediment-transport, suspended-material-water, usgs-5d03d510e4b0e3d3115805ad
Organization: Department of the Interior
Excel spreadsheet used for calculating hydrograph recession values use in the Stochastic Empirical Loading Dilution Model created for U.S. Geological Survey Scientific Investigations Report 2019-5053, 116 p., https://doi.org/10.3133/sir5053

Spreadsheet used to calculated hydrograph recession parameters (Minimum, Most Probable Value, and Maximum) for the Stochastic Empirical Loading Dilution Model (SELDM) . The spreadsheet was used in conjunction with the SELDM simulations used in the publication: Stonewall, A.J., and Granato, G.E., 2018, Assessing potential effects of highway and urban runoff on receiving streams in total maximum daily load watersheds in Oregon using the Stochastic Empirical Loading and Dilution Model: U.S. Geological Survey Scientific Investigations Report 2019-5053, 116 p., https://doi.org/10.3133/sir20195053

Tags: bear-creek, biota, copper, mill-creek, oregon, phosphorus, sediment-transport, suspended-material-water, usgs-5d03d4dae4b0e3d3115805a4
Organization: Department of the Interior
Stochastic Empirical Loading and Dilution Model in MS Access created for U.S. Geological Survey Scientific Investigations Report 2019-5053, 116 p., https://doi.org/10.3133/sir20195053

Stochastic Empirical Loading and Dilution Model (SELDM) utilizes Microsoft Access databases to build and run model simulations. The compiled database was used for all simulations related to the publication: Stonewall, A.J., and Granato, G.E., 2018, Assessing potential effects of highway and urban runoff on receiving streams in total maximum daily load watersheds in Oregon using the Stochastic Empirical Loading and Dilution Model: U.S. Geological Survey Scientific Investigations Report 2019-5053, 116 p., https://doi.org/10.3133/sir20195053

Tags: bear-creek, biota, copper, mill-creek, oregon, phosphorus, sediment-transport, suspended-material-water, usgs-5d03d46ce4b0e3d31158059b
Organization: Department of the Interior
Surveyed Positions of Transect Points Associated with Images Collected During Unmanned Aerial Systems Flights Over Town Neck Beach, in Sandwich, Massachusetts on January 22, February 11, March 30 and September 21, 2016

Low-altitude (30-120 meters above ground level) digital images of Town Neck Beach in Sandwich, Massachusetts, were obtained with a series of cameras mounted on small unmanned aerial systems (UAS, also known as a drone). Imagery was collected at close to low tide on five days to observe changes in beach and dune morphology. The images were geolocated by using the single-frequency geographic positioning system aboard the UAS. Ground control points (GCPs) were established by using temporary targets on the ground, which were located by using a real-time kinematic global navigation satellite system (RTK-GNSS) base station and rovers. The GCPs can be used as constraints during photogrammetric processing. Transect points were collected by using the same RTK-GNSS system; these can be used to evaluate photogrammetric products. This data release includes georeferenced images, image-location files, GCPs, and transect points. Collection of these data was supported by the U.S. Geological Survey Coastal/Marine Hazards and Resources Program and conducted under U.S. Geological Survey field activity numbers 2016-013-FA, 2016-043-FA, 2016-053-FA, 2016-054-FA and 2016-055-FA.

Tags: cmgp, coastal-and-marine-geology-program, coastal-marine-hazards-and-resources-program, elevation, field-activity-number-2016-013-fa, field-activity-number-2016-043-fa, field-activity-number-2016-053-fa, field-activity-number-2016-055-fa, global-positioning-system, gnss, gps, gps-measurement, location, massachusetts, navigation, navigational-data, oceans, sandwich, town-neck-beach, u-s-geological-survey, usa, usgs, usgs-5d039662e4b0e3d3115681aa, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Land cover map including wetlands and invasive Phragmites circa 2017 for Southern Lake Michigan

The first basin-wide map of large stands of invasive Phragmites australis (common reed) in the coastal zone was created through a collaboration between the U.S. Geological Survey and Michigan Tech Research Institute (Bourgeau-Chavez et al 2013). This data set represents a revised version of that map and was created using multi-temporal PALSAR data and Landsat images from 2016-2017. In addition to Phragmites distribution, the data sets shows several land cover types including urban, agriculture, forest, shrub, emergent wetland, forested wetland, and some based on the dominant plant species (e.g., Schoenoplectus, Typha). The classified map was validated using over 400 field visits.This map covers the southern portion of Lake Michigan.

Tags: imagerybasemapsearthcover, invasive-species, lake-michigan, land-use-and-land-cover, michigan, usgs-5d0ce954e4b0941bde51df1e, wetlands
Organization: Department of the Interior
Listing of File Names, Positions and Altitudes of Images Collected During Unmanned Aerial Systems Flights Over Town Neck Beach, in Sandwich, Massachusetts on January 22, January 25, February 11, March 30, and September 21, 2016

Low-altitude (30-120 meters above ground level) digital images of Town Neck Beach in Sandwich, Massachusetts, were obtained with a series of cameras mounted on small unmanned aerial systems (UAS, also known as a drone). Imagery was collected at close to low tide on five days to observe changes in beach and dune morphology. The images were geolocated by using the single-frequency geographic positioning system aboard the UAS. Ground control points (GCPs) were established by using temporary targets on the ground, which were located by using a real-time kinematic global navigation satellite system (RTK-GNSS) base station and rovers. The GCPs can be used as constraints during photogrammetric processing. Transect points were collected by using the same RTK-GNSS system; these can be used to evaluate photogrammetric products. This data release includes georeferenced images, image-location files, GCPs, and transect points. Collection of these data was supported by the U.S. Geological Survey Coastal/Marine Hazards and Resources Program and conducted under U.S. Geological Survey field activity numbers 2016-013-FA, 2016-043-FA, 2016-053-FA, 2016-054-FA and 2016-055-FA.

Tags: cmgp, coastal-and-marine-geology-program, coastal-marine-hazards-and-resources-program, elevation, field-activity-number-2016-013-fa, field-activity-number-2016-043-fa, field-activity-number-2016-053-fa, field-activity-number-2016-054-fa, field-activity-number-2016-055-fa, global-positioning-system, gnss, gps, gps-measurement, location, massachusetts, navigation, navigational-data, oceans, sandwich, town-neck-beach, u-s-geological-survey, usa, usgs, usgs-5d039656e4b0e3d311568132, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Geotagged Low-Altitude Aerial Imagery From Unmanned Aerial Systems Flights Over Town Neck Beach, in Sandwich, Massachusetts, on March 30, 2016

Low-altitude (30-120 meters above ground level) digital images of Town Neck Beach in Sandwich, Massachusetts, were obtained with a series of cameras mounted on small unmanned aerial systems (UAS, also known as a drone). Imagery was collected at close to low tide on five days to observe changes in beach and dune morphology. The images were geolocated by using the single-frequency geographic positioning system aboard the UAS. Ground control points (GCPs) were established by using temporary targets on the ground, which were located by using a real-time kinematic global navigation satellite system (RTK-GNSS) base station and rovers. The GCPs can be used as constraints during photogrammetric processing. Transect points were collected by using the same RTK-GNSS system; these can be used to evaluate photogrammetric products. This data release includes georeferenced images, image-location files, GCPs, and transect points. Collection of these data was supported by the U.S. Geological Survey Coastal/Marine Hazards and Resources Program and conducted under U.S. Geological Survey field activity numbers 2016-013-FA, 2016-043-FA, 2016-053-FA, 2016-054-FA and 2016-055-FA.

Tags: aerial-and-satellite-photography, aerial-imagery, aerial-photography, airshark, cmgp, coastal-and-marine-geology-program, coastal-marine-hazards-and-resources-program, dji-phantom-3-quadcopter, elevation, fc300x, field-activity-number-2016-013-fa, geoscientificinformation, geotagged-photos, image-collections, jpeg, location, low-altitude-aerial-imagery, massachusetts, oceans, photographs, photos, remote-sensing, sandwich, shoreline, shoreline-photographs, sony-nex5r, town-neck-beach, u-s-geological-survey, uas, unmanned-aerial-system, usa, usgs, usgs-5d039650e4b0e3d3115680c8, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Geotagged Low-Altitude Aerial Imagery From Unmanned Aerial System Flights Over Town Neck Beach, in Sandwich, Massachusetts, on September 21, 2016

Low-altitude (30-120 meters above ground level) digital images of Town Neck Beach in Sandwich, Massachusetts, were obtained with a series of cameras mounted on small unmanned aerial systems (UAS, also known as a drone). Imagery was collected at close to low tide on five days to observe changes in beach and dune morphology. The images were geolocated by using the single-frequency geographic positioning system aboard the UAS. Ground control points (GCPs) were established by using temporary targets on the ground, which were located by using a real-time kinematic global navigation satellite system (RTK-GNSS) base station and rovers. The GCPs can be used as constraints during photogrammetric processing. Transect points were collected by using the same RTK-GNSS system; these can be used to evaluate photogrammetric products. This data release includes georeferenced images, image-location files, GCPs, and transect points. Collection of these data was supported by the U.S. Geological Survey Coastal/Marine Hazards and Resources Program and conducted under U.S. Geological Survey field activity numbers 2016-013-FA, 2016-043-FA, 2016-053-FA, 2016-054-FA and 2016-055-FA.

Tags: aerial-and-satellite-photography, aerial-imagery, aerial-photography, airshark, cmgp, coastal-and-marine-geology-program, coastal-marine-hazards-and-resources-program, elevation, field-activity-number-2016-043-fa, geoscientificinformation, geotagged-photos, image-collections, jpeg, location, low-altitude-aerial-imagery, massachusetts, oceans, photographs, photos, remote-sensing, sandwich, shoreline, shoreline-photographs, sony-nex5r, town-neck-beach, u-s-geological-survey, uas, unmanned-aerial-system, usa, usgs, usgs-5d039640e4b0e3d311567fff, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Geotagged Low-Altitude Aerial Imagery From Unmanned Aerial System Flights Over Town Neck Beach, in Sandwich, Massachusetts, on January 22, 2016

Low-altitude (30-120 meters above ground level) digital images of Town Neck Beach in Sandwich, Massachusetts, were obtained with a series of cameras mounted on small unmanned aerial systems (UAS, also known as a drone). Imagery was collected at close to low tide on five days to observe changes in beach and dune morphology. The images were geolocated by using the single-frequency geographic positioning system aboard the UAS. Ground control points (GCPs) were established by using temporary targets on the ground, which were located by using a real-time kinematic global navigation satellite system (RTK-GNSS) base station and rovers. The GCPs can be used as constraints during photogrammetric processing. Transect points were collected by using the same RTK-GNSS system; these can be used to evaluate photogrammetric products. This data release includes georeferenced images, image-location files, GCPs, and transect points. Collection of these data was supported by the U.S. Geological Survey Coastal/Marine Hazards and Resources Program and conducted under U.S. Geological Survey field activity numbers 2016-013-FA, 2016-043-FA, 2016-053-FA, 2016-054-FA and 2016-055-FA.

Tags: aerial-and-satellite-photography, aerial-imagery, aerial-photography, cmgp, coastal-and-marine-geology-program, coastal-marine-hazards-and-resources-program, dji-phantom-3-quadcopter, fc300x, field-activity-number-2016-053-fa, geoscientificinformation, geotagged-photos, image-collections, jpeg, location, low-altitude-aerial-imagery, massachusetts, oceans, photographs, photos, remote-sensing, sandwich, shoreline, shoreline-photographs, town-neck-beach, u-s-geological-survey, uas, unmanned-aerial-system, usa, usgs, usgs-5d039639e4b0e3d311567fcc, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Mercury Concentrations in Bed Sediment, Bad River Watershed, Wisconsin, 2006-2015

These data represent total mercury (Hg) concentrations and percent organic carbon in bed sediment from 51 samples collected at 44 location in streams and rivers during 2006 to 2015 within or near to Bad River Tribal lands. Reach lengths are provided when they were available, and the data set includes sieved, unsieved, and samples where sieving status was not indicated. Samples were collected by the U.S. Geological Survey, jointly by the U.S. Geological Survey and Great Lakes Indian Fish and Wildlife Commission, or unknown collection agency. Neither bed sediment sample collection nor Hg analyses were performed by the U.S. Geological Survey, New York Water Science Center.

Tags: bad-river, lake-superior, mercury-contamination, united-states, usgs-5d08f4c0e4b0e3d3115db9ff, wisconsin
Organization: Department of the Interior
Geotagged Low-Altitude Aerial Imagery From Unmanned Aerial System Flights Over Town Neck Beach, in Sandwich, Massachusetts, on February 11, 2016

Low-altitude (30-120 meters above ground level) digital images of Town Neck Beach in Sandwich, Massachusetts, were obtained with a series of cameras mounted on small unmanned aerial systems (UAS, also known as a drone). Imagery was collected at close to low tide on five days to observe changes in beach and dune morphology. The images were geolocated by using the single-frequency geographic positioning system aboard the UAS. Ground control points (GCPs) were established by using temporary targets on the ground, which were located by using a real-time kinematic global navigation satellite system (RTK-GNSS) base station and rovers. The GCPs can be used as constraints during photogrammetric processing. Transect points were collected by using the same RTK-GNSS system; these can be used to evaluate photogrammetric products. This data release includes georeferenced images, image-location files, GCPs, and transect points. Collection of these data was supported by the U.S. Geological Survey Coastal/Marine Hazards and Resources Program and conducted under U.S. Geological Survey field activity numbers 2016-013-FA, 2016-043-FA, 2016-053-FA, 2016-054-FA and 2016-055-FA.

Tags: aerial-and-satellite-photography, aerial-imagery, aerial-photography, cmgp, coastal-and-marine-geology-program, coastal-marine-hazards-and-resources-program, dji-phantom-3-quadcopter, fc300x, field-activity-number-2016-055-fa, geoscientificinformation, geotagged-photos, image-collections, jpeg, location, low-altitude-aerial-imagery, massachusetts, oceans, photographs, photos, remote-sensing, sandwich, shoreline, shoreline-photographs, spring-hill-beach, town-neck-beach, u-s-geological-survey, uas, unmanned-aerial-system, usa, usgs, usgs-5d039632e4b0e3d311567f64, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Select Attributes for NHDPlus Version 2.1 Reach Catchments and Modified Network Routed Upstream Watersheds for the Conterminous United States : Attributes for Surface Water Impoundments

This dataset describes attributes of surface-water impoundments derived from the National Inventory of Dams (NID), National Land Cover Data (NLCD) and the National Hydrography Dataset Plus (NHDPlus). Reservoir surface areas were determined using National Inventory of Dams Reservoir Surface area, NHDPlus Waterbody area, and National Land Cover Data (NLCD) open water body area as data sources. National Inventory of Dams were indexed on NHDPlus V2.1 using several sources and methods which are described in detail in the Process_Description section. The open-water classification in the NLCD was used to extract open water areas.

Tags: dams, inlandwaters, national-inventory-of-dams, nawqa, nhdplus, nid, reservoir-storage, reservoir-surface-area, sparrow, usgs-5d038e0ce4b0e3d311562c59
Organization: Department of the Interior
Watersheds and Select Landscape Attributes for Meadows in the Sierra Nevada, California

This polygon vector dataset represents over 18,000 derived watersheds associated with meadows listed in the Sierra Nevada Meadows Compilation (version 2.0). The watershed polygons are attributed with geology, landform, and fire recurrence interval departure information thought to potentially influence the hydrology of meadows.

Tags: california, climatologymeteorologyatmosphere, environment, geoscientificinformation, meadows, sierra-nevada, sierra-nevada-meadows, usgs-5d0303d6e4b0e3d311562076
Organization: Department of the Interior
Ratios of strontium to calcium measured in pectoral fin rays of lake sturgeon (Acipenser fulvescens) captured in the lakes and rivers of Namakan Reservoir, Minnesota, United States and Ontario, Canada, 2007-15

The U.S. Geological Survey, Voyageurs National Park, South Dakota State University, and Missouri Department of Conservation conducted a cooperative study to measure ratios of strontium to calcium (Sr:Ca) in cross sections of pectoral fin rays obtained from lake sturgeon (Acipenser fulvescens) captured in lakes and rivers of Namakan Reservoir in Minnesota and Ontario. We measured Sr:Ca ratios in cross sections of 37 pectoral fin rays collected from 10 locations (5 rivers and 5 lakes) in Namakan Reservoir as part of a larger study to investigate whether relations between Sr:Ca in water and pectoral fin rays were significant and useful for determining migratory histories of lake sturgeon in Namakan Reservoir. Pectoral fin rays were removed nonlethally at the time of capture from lake sturgeon captured during surveys collected from 2007-09. Cross sections of collected pectoral fin rays were analyzed using laser ablation inductively-coupled plasma mass spectrometry at the University of Massachusetts at Amherst. Laser ablation transects started in the center of the fin ray cross section near the origin, which represents growth from birth through the first year of life. Laser ablation transects advanced outward toward the edge of the fin ray cross section, which represents the most recent growth of the lake sturgeon. Laser ablation analyses occurred November 2-6, 2015. Photographs of ablated pectoral fin ray cross sections were taken using a digital camera mounted to a microscope.

Tags: aquatic-biology, crane-lake, echo-river, interagency-programs, kabetogama-lake, little-vermilion-lake, loon-river, mass-spectroscopy, namakan-lake, namakan-river, redhorse-river, sand-point-lake, strontium, usgs-5d02a90ce4b05cc71caf11e8, vermilion-river, voyageurs-national-park
Organization: Department of the Interior
Borehole Electromagnetic Induction, Natural Gamma, and Nuclear Magnetic Resonance Logging in the Cedar River Floodplain, Cedar Rapids, Iowa, 2017

In June 2017, the U.S. Geological Survey (USGS)collected borehole geophysical logs to characterize the shallow alluvial aquifer in and near Cedar Rapids, Iowa. Borehole geophysical logs were collected in nine shallow boreholes to identify geophysical properties of the aquifer in the area surrounding the boreholes.  Electromagnetic induction logs were used to determine the electrical properties of the fluid and formation surrounding the borehole. A natural gamma tool was used to identify the naturally occurring gamma radiation that is emitted from the earth materials.  Nuclear magnetic resonance (NMR) tools were used to measure the water content and estimate the pore-size distribution and hydraulic conductivity (K) for each measurement interval in the saturated zone. Estimates of K were determined using two commonly used empirical relations. These estimates of K are order-of- estimates of K and can be used as relative estimates of K. Collectively, these borehole geophysical logs can be related to the stratigraphic layers of sand, gravel and fine sand in the aquifer.

Tags: aquifer, borehole-logging, cedar-rapids, cedar-river, electromagnetic-surveying, environment, gamma-ray-logging, geophysics, geoscientificinformation, iowa, usgs-5d02964be4b05cc71caf1150
Organization: Department of the Interior