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.

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Image shows numbers that are degrees of latitude, in various colors and amount of fuzziness.
February 14, 2018

ViTexOCR; A script to extract text overlays from digital video

The ViTexOCR script presents a new method for extracting navigation data from videos with text overlays using optical character recognition (OCR) software.

Photograph of a Duluth area stream
January 26, 2018

USGS Superior Bay Duluth Ship Canal at Duluth, MN

Discharge data are available online through the USGS National Water Information System (NWIS).

Census Stop Tool Dialog box
January 17, 2018

Census Stop Tool

  • The Census Stop Tool is a GIS tool that creates random points along a line layer while maintaining a minimum distance between points.
  • The user has the option of selecting one of two random point placement methods.
  • The Census Stop Tool is available as an ArcMap 9.x extension.
  • This tool is designed to facilitate road based surveys by reducing the potential for double sampling.
The Adjacency For WinBUGS dialog.
January 17, 2018

Adjacency For WinBUGS Tool

  • The Adjacency For WinBUGS Tool is a customization of ArcMap.
  • The tool iteratively processes each polygon within a selected layer and creates a text file of polygonal adjacency where each polygon is identified by a unique Adj_ID value.
  • The output of this tool is used in WinBUGS (MRC Biostatistics Unit Cambridge) by the car.normal, car.l1, and mv.car conditional autoregressive distributions.
Techs gathering water quality samples with a bridge crane
October 1, 2017

Ambient Surface-Water-Quality Monitoring Network Site List

Routine constituents are collected during sampling cycles at both fixed and probabilistic sites, and presented in tables provided.

Flood inundation mapper focus new england
September 19, 2017

USGS Flood Event Viewer - Jose

The USGS Flood Event Viewer helps USGS and its partners to track of the storm and its impact on surface water levels. A storm track field is included from NOAA's National Hurricane Center, and real-time USGS streamgage data and Rapid Deployment Gage data are linked through this map-based product.

Screenshot of flood event viewer
September 18, 2017

USGS Flood Event Viewer - Maria

The USGS Flood Event Viewer helps USGS and its partners to track of the storm and its impact on surface water levels. A storm track field is included from NOAA's National Hurricane Center, and real-time USGS streamgage data and Rapid Deployment Gage data are linked through this map-based product.

Screenshot of USGS Flood Event Viewer
August 24, 2017

USGS Flood Event Viewer - Harvey

The USGS Flood Event Viewer helps USGS and its partners to track of the storm and its impact on surface water levels. A storm track field is included from NOAA's National Hurricane Center, and real-time USGS streamgage data and Rapid Deployment Gage data are linked through this map-based product.

Example NWIS Mapper
July 6, 2017

NWIS Mapper

This mapper provides access to over 1.5 million sites contained in the USGS National Water Information System (NWIS), including sites where surface-water, groundwater, springs, and atmospheric data has been collected.

Screenshot of Precipitation Viewer
June 14, 2017

Precipitation Viewer

Precipitation Viewer for North Carolina shows recent rainfall data in conjuction with National Weather Service precipitation data.

Example visualization from MODFLOW model output
April 19, 2017

MODFLOW

MODFLOW is the USGS's three-dimensional (3D) finite-difference groundwater model. MODFLOW is considered an international standard for simulating and predicting groundwater conditions and groundwater/surface-water interactions.

SPARROW graphic
April 19, 2017

SPARROW

SPARROW (SPAtially-Referenced Regression On Watershed attributes), is watershed based and designed for use in predicting long-term average values of water characteristics, such as concentrations and amounts of selected constituents that are delivered to downstream receiving waters.