Data and Tools
Biology and Ecosystems Datasets
Mapping, Remote Sensing, and Geospatial Data
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.
Multichannel minisparker and chirp seismic-reflection data of field activity 2015-651-FA; Chatham Strait and Cross Sound, southeastern Alaska from 2015-08-03 to 2015-08-21
High-resolution multichannel minisparker and chirp seismic-reflection data were collected in August of 2015 to explore marine geologic hazards of inland waterways of southeastern Alaska. Sub-bottom profiles were acquired in the inland waters between Glacier Bay and Juneau, including Cross Sound and Chatham Strait.
Nutrient levels in surface waters of the Conasauga River and other tributaries within the Coosa River Watershed
Data Release for Report describes surface-water nutrient concentrations from multiple sites on the Conasauga River in northern Georgia in comparison with rivers in adjacent watersheds
On an island largely devoid of native vertebrate seed dispersers, we monitored forest succession for seven years following ungulate exclusion from a 5-hectare area and adjacent plots with ungulates still present.
The data archive contains the aerial photographs and channel delineations used in our analysis. The images have been geo-referenced to the 1995 digital orthophoto quarter quadrangles as described by Miller and Friedman (2009). The channel delineations for all photo years (including 2003) and the delineation of the outer flood-plain boundary are stored as shapefiles.
Results of a U.S. General Public Survey to Inform the 2018 North American Waterfowl Management Plan Update (2017)
This contains data from 1,030 surveys returned in 2017 from across the United States. Data were collected via a mail-out survey stratified by the population of each state. The purpose of this survey was to inform the 2018 update of the North American Waterfowl Management Plan.
Groundwater levels, soil moisture, precipitation, and slope movement in the coastal bluffs of the Atlantic Highlands, New Jersey, 2015-2016
U.S. Geological Survey data release
This Geographic Information System (GIS) point shapefile of Landslides in New Jersey with associated database file, projection file and metadata, contains point locations and other attributes for 287 landslide locations in New Jersey mapped by the Survey.
Sex, length, total mass, fat mass, and specimen condition data for 248 Burmese pythons (Python bivittatus) collected in the Florida Everglade
These data were collected from Burmese pythons removed from the Florida everglades as part of invasive-species management. These data were used to validate several body condition indices in Burmese pythons.
Continuous terrain model for water circulation studies, Barnegat Bay, New Jersey. U.S. Geological Survey Data Release.
Water quality in the Barnegat Bay estuary along the New Jersey coast is the focus of a multidisciplinary research project begun in 2011 by the U.S. Geological Survey (USGS) in cooperation with the New Jersey Department of Environmental Protection.
Radio telemetry data on nighttime movements of two species of migratory nectar-feeding bats (Leptonycteris) in Hidalgo County, New Mexico, late-summer 2004 and 2005
These bat location estimates have been reported by Bogan and others and come in the form of a GIS shape file.
Provenance, classification, and abundance of RNA sequence fragments used to assess virus infections in honey bees, Apis mellifera
This dataset was used to assess the relative occurrence and titer of Deformed wing virus (DWV) and Varroa destructor virus 1 (VDV) in public RNA-seq accessions of honey bee using a rapid, kmer-based approach. The data highlight the utility of high-throughput sequencing to monitor viral polymorphisms and statistically test biological predictors of titer.
This data bundle contains some of the inputs, all of the processing instructions and all outputs from two VisTrails/SAHM workflow. These models specifically include field data of locations with >40% cover of cheatgrass (presence) and <40% cover of cheatgrass (absence). Predictors included rasters derived from LandSat 8 imagery or from a digital elevation model.