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.

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Date published: January 1, 2017

Southwest Exotic Mapping Program (SWEMP) Database, 2007

The Southwest Exotic Plant Mapping Program (SWEMP) is a collaborative effort between the United States Geological Survey and federal, tribal, state, county and non-governmental organization (NGO) partners in the southwest. This project is an ongoing effort to compile and distribute regional data on the occurrence of non-native invasive plants in the southwestern United States. The d

Date published: January 1, 2017

Detection of Nanophyetus salmincola in water, snails and fish tissues by quantitative PCR

The data are used to support the development and validation of two quantitative polymerase chain reaction (qPCR) assays to detect the parasite Nanophyetus salmincola DNA in water samples and fish and snail tissues. The data link to a series of experiments that are described in the publications. Experiment 1 defines the linearity and detection limits of the assays. Experiment 2 assesses the...

Date published: January 1, 2017

Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P2 from 2010

Orthorectified image from aerial photograph of wetland P2 in the Cottonwood Lake Study Area, Stutsman County, North Dakota. This image is part of a collection of photographs of the study area acquired during July and early August from 1975 to 2015.

Date published: January 1, 2017

Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T2 from 2014

Orthorectified image from aerial photograph of wetland T2 in the Cottonwood Lake Study Area, Stutsman County, North Dakota. This image is part of a collection of photographs of the study area acquired during July and early August from 1975 to 2015.

Date published: January 1, 2017

Data release: A large-scale database of modeled contemporary and future water temperature data for 10,774 Michigan, Minnesota and Wisconsin Lakes

Climate change has been shown to influence lake temperatures globally. To better understand the diversity of lake responses to climate change and give managers tools to manage individual lakes, we modelled daily water temperature profiles for 10,774 lakes in Michigan, Minnesota and Wisconsin for contemporary (1979-2015) and future (2020-2040 and 2080-2100) time periods with climat

Date published: January 1, 2017

Chesapeake Bay Nontidal Network 1985-2016: WRTDS output data

Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay Nontidal Network (NTN) stations for the period 1985 through 2016. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (

Date published: January 1, 2017

CoSMoS (Coastal Storm Modeling System) Southern California v3.0 Phase 2 ocean-currents projections: 20-year storm in Orange County

Model-derived ocean current velocities (in meters per second) for the given storm condition and sea-level rise (SLR) scenario.
The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS

Date published: January 1, 2017

CoSMoS (Coastal Storm Modeling System) Southern California v3.0 Phase 2 flood-hazard projections: average conditions in Orange County

Geographic extent of projected coastal flooding, low-lying vulnerable areas, and maxium/minimum flood potential (flood uncertainty) associated with the sea-level rise and storm condition indicated.
The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosi

Date published: January 1, 2017

Depth-to-water raster for the shallow groundwater system in the Lower Gunnison River Basin, Colorado

This dataset consists of raster-based depth-to-water values (in feet) for the shallow groundwater system in the Lower Gunnison River Basin in Delta, Montrose, Ouray, and Gunnison Counties, Colorado. Depth-to-water values in this dataset were derived from a geostatistical interpolation of point data presented in the dataset waterlevel_data. The U.S. Geological Survey prepared this data

Date published: January 1, 2017

Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P3 from 26 July 1994

Orthorectified image from aerial photograph of wetland P3 in the Cottonwood Lake Study Area, Stutsman County, North Dakota. This image is part of a collection of photographs of the study area acquired during July and early August from 1975 to 2015.

Date published: January 1, 2017

Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P8 from 2007

Orthorectified image from aerial photograph of wetland P8 in the Cottonwood Lake Study Area, Stutsman County, North Dakota. This image is part of a collection of photographs of the study area acquired during July and early August from 1975 to 2015.

Date published: January 1, 2017

Variable Terrestrial GPS Telemetry Detection Rates: Parts 1 - 7—Data

Studies utilizing Global Positioning System (GPS) telemetry rarely result in 100% fix success rates (FSR). Many assessments of wildlife resource use do not account for missing data, either assuming data loss is random or because a lack of practical treatment for systematic data loss. Several studies have explored how the environment, technological features, and animal behavior i