Data and Tools

Data Management Tools

Good data management enables the location, sharing, and reuse of data, and reduces the redundancy of data. These attributes of good data management reduce costs in terms of time and money. Data management tools and best practices can also help to meet the open data requirements of making data more accessible and discoverable.

Filter Total Items: 49
Date published: January 13, 2021

Fish and Climate Change Database (FiCli)

Inland fishes are important to communities worldwide and provide many ecosystem services, such as recreational opportunities, subsistence fishing, and commercial income. To support climate adaptation for fisheries management across the globe, the USGS Alaska, Missouri, and North Carolina Cooperative Research Units developed an interactive database, ...

Date published: August 7, 2020

Decision-Making with the Multiple Objective Vireo Explorer (MOViE) Tool for the Santa Clara River

This tool is constructed around a model that integrates the major factors influencing the continued recovery of least Bell's vireo along the Santa Clara River in California (i.e., habitat quantity and configuration, habitat quality, and cowbird parasitism). 

Date published: May 5, 2020

Programmatic Access to Geomagnetism Data

geomag-algorithms python library.

Date published: September 27, 2019

Water Data Labs

Water Data Labs is an experimental site that exposes tools and technologies in development by the USGS Water Data for the Nation software team. Here, users can explore and test experimental products, services, tools, and visualizations.

Attribution: Water Resources
Date published: April 26, 2019

Furnished Data Guidelines

The annual review by USGS personnel of furnished records is designed to ensure that furnished records are collected in accordance with USGS standards. Furnished records are provided to the USGS by Federal Energy Regulatory Commission (FERC) licensees and other cooperating agencies as a method for reviewing and quality assuring their records so that the data are collected using methods that...

Date published: March 26, 2019

Geoscience Data Viewer Web Mapping Application

Map viewer of the St. Petersburg Coastal and Marine Science Center's published subsurface bathymetry, seismic reflection, side-scan sonar, and cores and sediment samples.

Date published: March 26, 2019

Core and Sediment Sample Database

Map viewer of St. Petersburg Coastal and Marine Science Center's core and samples database. Includes coral cores, sediment cores, and sediment samples.

Date published: March 4, 2019

WaterWatch Toolkit

The USGS WaterWatch Toolkit provides online tools that allow users to search USGS sites in various ways; create a variety of maps, graphs, charts, animations, and tables; perform a variety of streamflow analyses, and retrieve summary statistics.

Attribution: Water Resources
Date published: March 4, 2019

Data Analysis Tools in the R Programming Language

USGS-R is a community of support for users of the R scientific programming language. USGS-R resources include R training materials, R tools for the retrieval and analysis of USGS data, and support for a growing group of USGS-R developers. 

Date published: March 4, 2019

dataRetrieval (R package)

This R package is designed to obtain USGS or EPA water quality sample data, streamflow data, and metadata directly from web services.

Attribution: Water Resources
Date published: March 4, 2019

geoknife (R package)

The geoknife package was created to support web-based geoprocessing of large gridded datasets according to their overlap with landscape (or aquatic/ocean) features that are often irregularly shaped. geoknife creates data access and subsequent geoprocessing requests for the USGS’s Geo Data Portal to carry out on a web server.

Attribution: Water Resources
Date published: September 28, 2018

Regional Stream Quality Assessment: Data Downloader

The Regional Stream Quality Assessment (RSQA) is a part of the National Water Quality Assessment project.  The data downloader provides access to the water quality data that were assessed as a part of the RSQA study by region, state, and county.