Data Releases
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.
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Remotely sensed bathymetry and field measurements from the Colorado River near Lees Ferry, Arizona, September 23, 2019
To support an investigation of the feasibility of measuring river bathymetry using a polarizing lidar sensor, lidar and field measurements were collected on the Colorado River near Lees Ferry, Arizona on September 23, 2019. This parent data release includes links to child pages for the following data sets: 1) Lidar data used for mapping channel bathymetry (depth), acquired with a novel instrument
UAS-based remotely sensed bathymetry and field measurements from the Colorado River, near Parshall Colorado, June 13, 2019
To support an investigation of the feasibility of measuring river bathymetry using remotely sensed data acquired from a small unmanned aircraft system (sUAS), remotely sensed bathymetry and field measurements were collected from two cross-sections on the Colorado River near Parshall, CO on June 13, 2019. This parent data release includes links to child pages for the following data sets: 1) Lidar
UAS-based remotely sensed data and field measurements from the Blue River and Colorado River, near Kremmling, Colorado, October 17-18, 2018
To support an investigation of the feasibility of measuring river bathymetry using remotely sensed data acquired from an unmanned aircraft system (UAS), several types of remotely sensed data and field measurements were collected from two cross-sections on the Blue River and two cross-sections on the Colorado River near Kremmling, Colorado, on October 17-18, 2018. This parent data release includes
Nitrogen concentrations and loads and seasonal nitrogen loads in selected Long Island Sound tributaries, water years 1995-2016
This U.S. Geological Survey data release presents tabular data on nitrogen concentrations and loads for multiple nitrogen species, and river discharge data used in the analysis of data collected from October 1994 to September 2016. Data on flow and nitrogen concentrations were analyzed using the USGS EGRET R package, and the method of WRTDS (Weighted Regression on Time Discharge and Season). Data
Data on Nitrogen Concentrations and Loads for the Connecticut River at Middle Haddam, Connecticut, Computed with the Use of Auto-Sampling and Continuous Measurements of Water Quality, 2008-2014
This U.S. Geological Survey data release presents tabular daily data on nitrate plus nitrite nitrogen and total nitrogen loads for the Connecticut River at Middle Haddam, Connecticut, from December 6, 2008, to September 30, 2014. The data release contains total nitrogen concentration estimates at 15-minute intervals from December 2011 to September 2014. The data release also includes tabular infor
Goose Mass and Vegetation Data, Colville River Delta, Alaska, 2012-2017
This data release contains three tables of information from the Colville River Delta, Alaska (CDR): offtake of Carex subspathacea (2012-2014), standing crop of C. subspathacea (2012-2014), and snow goose and black brant gosling mass data (2012-2017). Data were collected as part of the USGS Changing Arctic Ecosystems Initiative to understand the response of wildlife to rapid physical changes taking
Normalized Difference Vegetation Index, Biomass, and Nitrogen Content of Goose Forage, Northern Alaska, 2011-2018
This data set contains four tables of information regarding the sampling of plant biomass, nitrogen, cumulative thaw degree days, precipitation, and Normalized Difference Vegetation Index (NDVI) for the Colville River Delta and Point Lonely area of northern Alaska.
Survey Data for Loon Occupancy in Freshwater Lakes, National Petroleum Reserve-Alaska, 2011-2014
These data are in one table of territory occupancy data for loons and presence/absence data for fish species based on survey information for Pacific (Gavia pacifica) and Yellow-billed Loon (G. adamsii) and five species of fish (Alaska blackfish, arctic grayling, broad whitefish, least cisco, ninespine stickleback) from freshwater lakes on the Arctic Coastal Plain in northern Alaska, 2011-2014. We
Coastal Cliff Top and Toe Delineation Derived from Lidar for Puerto Rico: 2018
The National Assessment of Coastal Change Hazards project aims to understand and forecast coastal landscape change. This dataset delineates coastal cliff features (cliff tops, toes, and 3D elevation transects) to assess the hazard posed by eroding coastal cliffs in Puerto Rico, Culebra, and Vieques. The delineation of cliff tops and toes can be used as an input into cliff hazard metrics and to mea
Seafloor Elevation Change From 2002 to 2016 in the Upper Florida Keys
The U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted research to quantify bathymetric changes in the Upper Florida Keys (UFK) from Triumph Reef to Pickles Reef within a 242.4 square-kilometer area. USGS staff calculated changes in seafloor elevation from 2002 to 2016 using light detection and ranging (lidar)-derived data acquired by the USGS in 2001 and 2002
Fire impacts on permafrost in Alaska: Geophysical and other field data collected in 2015
Fire can be a significant driver of permafrost change in boreal landscapes, altering the availability of soil carbon and nutrients that have important implications for future climate and ecological succession. However, not all landscapes are equally susceptible to fire-induced change. As fire frequency is expected to increase in the high latitudes, methods to understand the vulnerability and resil
Shoreline delineations for 21 Subestuaries in the Chesapeake Bay 2010-2014.
In many coastal regions throughout the world, there is increasing pressure to harden shorelines to protect human infrastructures against sea level rise, storm surge, and erosion. These data reflect the digitization of the shorelines of 21 sub-estuaries throughout the Chesapeake Bay (USA) as observed from 2010 through 2014. Shoreline segments are classified into one of seven shoreline types: bulkhe