Data and Tools

Science Datasets

The data collected and the techniques used by USGS scientists should conform to or reference national and international standards and protocols if they exist and when they are relevant and appropriate. For datasets of a given type, and if national or international metadata standards exist, the data are indexed with metadata that facilitates access and integration.

Filter Total Items: 15,265
Date published: October 12, 2021

Lidar-derived digital elevation models in Clarksburg, MD representing the years 2002, 2008, 2013, and 2018

This is a collection of 3 ft resolution digital elevation model derived from light detection and ranging (lidar). Lidar was collected in 2002, 2008, 2013, and 2018. Coverage includes a portion of Clarksburg, Maryland, focused around the Clarksburg Special Protection Area (CSPA).

Date published: October 8, 2021

Point Sampling Data for Eelgrass (Zostera marina) and Seaweed Distribution and Abundance in Bays Adjacent to the Izembek National Wildlife Refuge, Alaska

These data are in seven tables relating to surveys of eelgrass beds in Izembek and Kinzarof Lagoons, Izembek National Wildlife Refuge, Alaska. The tables provide environmental conditions, eelgrass abundance, distribution, and measurements used to estimate overall biomass.

Date published: October 6, 2021

Field Data Collected 2018 to Document Human-induced Gorge Incision at The Kink (Fortymile River, Alaska)

This dataset comprises four tables containing channel survey cross section data, field observations including channel width and bank material, measured surface water velocity, and alluvial grain size data collected along the North Fork Fortymile River near a man-made meander cutoff called The Kink.

Date published: October 5, 2021

Change factors to derive future precipitation depth-duration-frequency (DDF) curves at 174 National Oceanic and Atmospheric Administration (NOAA) Atlas 14 stations in central and south Florida

This data release consists of Microsoft Excel workbooks, shapefiles, and a figure related to a cooperative project between the U.S. Geological Survey and the South Florida Water Management District to derive future change factors for precipitation depth-duration-frequency (DDF) curves at 174 National Oceanic and Atmospheric Administration (NOAA) Atlas 14 stations in central and south Florida...

Date published: October 5, 2021

PFAS, pesticide, and pharmaceutical concentrations in the Bronx River, New York, 2019

This U.S. Geological Survey Data Release provides surface-water and bed sediment quality data at the Bronx River, New York, 2019. The data were collected with support from the Urban Waters Federal Partnership (UWFP) and others.

Date published: October 4, 2021

Zooplankton Data for Cheney Reservoir near Cheney, Kansas, October 2008 through July 2021

This U.S. Geological Survey (USGS) data release provides zooplankton data collected from Cheney Reservoir, Kansas, during October 2008 through July 2021. All data are reported as raw calculated values and are not rounded to USGS significant figures. This data release was produced in compliance with the open data requirements as a way to make scientific products associated with USGS research...

Date published: October 1, 2021

Regional screening for managed aquifer recharge suitability in Jordan, Lebanon, and surrounding areas

The datasets included in this Data Release are: Managed Aquifer Recharge (MAR) suitability Map 1 prepared using tabular ranking of combinations of different classes of slope and runoff, and MAR suitability Map 2 prepared using multi-criteria decision analysis for slope and runoff. For detailed description of each dataset please see the associated report by...

Date published: September 30, 2021

Phytoplankton data for Cheney Reservoir near Cheney, Kansas, June 2001 through September 2020

This U.S. Geological Survey (USGS) Data Release provides phytoplankton data collected from Cheney Reservoir, Kansas, during June 2001 through September 2020. All data are reported as raw calculated values and are not rounded to USGS significant figures. This data release was produced in compliance with the open data requirements as a way to make scientific products associated with USGS...

Date published: September 30, 2021

Eelgrass distributions and bathymetry of Bellingham Bay, Washington, 2019

This data release presents eelgrass distributions and bathymetry data derived from acoustic surveys of Bellingham Bay, Washington. Survey operations were conducted between February 16 and February 21, 2019 by a team of scientists from the USGS Pacific Coastal and Marine Science Center and Washington State Department of Ecology. Eelgrass and bathymetry data were collected from R/V George...

Date published: September 30, 2021

Data and shapefiles used to document the floods associated with the January and March 2018 Nor'easters for Coastal Areas of New England

The U.S. Geological Survey (USGS) New England Water Science Center worked with the Federal Emergency Management Agency to document the floods of January 4, 2018 and March 2-4, 2018, in coastal Massachusetts.  USGS conducted a frequency analysis of stillwater elevations at three National Oceanic and Atmospheric Administration coastal gages following the coastal floods of 2018. 

Date published: September 30, 2021

Overlapping lakebed images and associated GNSS locations acquired near Dollar Point, Lake Tahoe, CA, March 2021

We collected underwater images using a recently developed towed-surface vehicle with multiple downward-looking underwater cameras. The system is named the Structure-from-Motion (SfM) Quantitative Underwater Imaging Device with Five Cameras (SQUID-5). Images were collected March 10th and 11th of 2021 by towing the SQUID-5 at a speed of approximately 3.0 knots along a series of adjacent survey...

Date published: September 30, 2021

Application of the North Carolina Stochastic Empirical Loading and Dilution Model (SELDM) to Assess Potential Impacts of Highway Runoff

In 2013, the U.S. Geological Survey (USGS) in partnership with the U.S. Federal Highway Administration (FHWA) published a new national stormwater quality model called the Stochastic Empirical Loading Dilution Model (SELDM; Granato, 2013). The model is optimized for roadway projects but in theory can be applied to a broad range of development types.