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Gregory Gunther

Greg Gunther is the Project Chief and Supervisor for the USGS Central Energy Resources Science Center Data Management Service Project.  He has specialized in all facets of scientific data management and governance for the USGS and as a consultant for 25 years.

Greg has an extensive and diverse background in Information Management Technologies (IMT) specializing in all phases of the Scientific Data Management Lifecycle.  He is an active leader in the USGS and Petroleum data community, serves on numerous USGS and industry data-related committees and communities of practice, experience in international data management capacity building, and has a wide range of IMT technical experience in scientific content curation, accessibility and delivery.

Expertise

  • Communities of Practice/Committees:  USGS Council for Data Integration, US State Dept Energy Governance Capacity Initiative, USGS EarthMAP Capacity Assessment, Professional Petroleum Data Management Association
  • GIS: ESRI Suite, model development, ESRI programming APIs, system architecture
  • IMT:  Python, Jupyter Labs (DevOps), Cloud (AWS), JavaScript, Java, C#, relational database (PostGRES, Oracle)
  • Accessible data:  Linked data, catalog development and curation, semantics/ontologies, API development
  • Data governance/management:  data steward network development, data curation, system occurrence, metadata (ISO 199115, FGDC, Dublin Core) management, data sharing and delivery, web-enabled data (APIs)

Professional Experience

  • Supervisory IMT Specialist/Data Management Services Chief: US Geological Survey (2013-Present)

  • IT Specialist/GIS/Data Manager: US Geological Survey (2001-2013)

  • Adjunct Faculty, Introduction to GIS, Web GIS:  Department of Engineering, University of Colorado Denver (2005-2013)

  • Independent Consultant/Owner:  TerraTech Designs (1996-2001)

Education and Certifications

  • B.S. in Natural Resources Management/Geospatial Information Management Systems, Colorado State University.

  • Master of Engineering, University of Colorado Denver

  • Certifications: 

  • Professional Java Developer (University of Colorado Boulder)

  • Certificate in Entrepreneurial Studies (University of Colorado Denver)

  • Certificate in Geographic Information Systems (University of Colorado Denver)

Science and Products

Capacity assessment for Earth Monitoring, Analysis, and Prediction (EarthMAP) and future integrated monitoring and predictive science at the U.S. Geological Survey

Executive SummaryManagers of our Nation’s resources face unprecedented challenges driven by the convergence of increasing, competing societal demands and a changing climate that affects the stability, vulnerability, and predictability of those resources. To help meet these challenges, the scientific community must take advantage of all available technologies, data, and integrative Earth systems mo
Authors
Jennifer L. Keisman, Sky Bristol, David S. Brown, Allison K. Flickinger, Gregory Gunther, Peter S. Murdoch, MaryLynn Musgrove, John C. Nelson, Gregory D. Steyer, Kathryn A. Thomas, Ian R. Waite
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Ecosystems Mission Area, Water Resources Mission Area, Energy Resources Program, Science Analytics and Synthesis (SAS) Program, Science Synthesis, Analysis and Research Program, Geology, Energy & Minerals Science Center, Oklahoma-Texas Water Science Center, Oregon Water Science Center, Southwest Biological Science Center, Upper Midwest Environmental Sciences Center, Wetland and Aquatic Research Center

Paleozoic and mesozoic GIS data from the Geologic Atlas of the Rocky Mountain Region: Volume 1

The Rocky Mountain Association of Geologists (RMAG) is, once again, publishing portions of the 1972 Geologic Atlas of the Rocky Mountain Region (Mallory, ed., 1972) as a geospatial map and data package. Georeferenced tiff (Geo TIFF) images of map figures from this atlas has served as the basis for these data products. Shapefiles and file geodatabase features have been generated and cartographicall
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Energy Resources Program, Central Energy Resources Science Center

Digital data in support of studies and assessments of coal and petroleum resources in the Appalachian basin

The Appalachian basin is a mature basin containing abundant oil, gas, and coal resources. Its fossil-fuel-bearing strata range in age from Cambrian to Permian and extend over the States of New York, Pennsylvania, Maryland, Ohio, West Virginia, Virginia, Kentucky, Tennessee, Georgia, and Alabama. The basin has provided abundant fossil fuels to support the Nation’s economic growth for at least 150 y
Authors
Michael H. Trippi, Scott A. Kinney, Gregory Gunther, Robert T. Ryder, Leslie F. Ruppert
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Energy Resources Program, Geology, Energy & Minerals Science Center

Preliminary integrated geologic map databases for the United States: Delaware, Maryland, New York, Pennsylvania, and Virginia

The growth in the use of Geographic Information Systems (GIS) has highlighted the need for regional and national digital geologic maps attributed with age and lithology information. Such maps can be conveniently used to generate derivative maps for purposes including mineral-resource assessment, metallogenic studies, tectonic studies, and environmental research. This Open-File Report is a prelimin
Authors
Connie L. Dicken, Suzanne W. Nicholson, John D. Horton, Scott A. Kinney, Gregory Gunther, Michael P. Foose, Julia A. L. Mueller
By
Geology, Energy & Minerals Science Center
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USGS science for a changing world logo

Added to the National Map: Web Services for the National Hydrography Dataset, National Elevation Dataset and National Land Cover Dataset

As one of the cornerstones of the U.S. Geological Survey's (USGS) National Geospatial Program, The National Map is a collaborative effort among the USGS and other Federal, State, and local partners to improve and deliver topographic information for the Nation. It has many uses ranging from recreation to scientific analysis to emergency response. The National Map is easily accessible for display on
By
Community for Data Integration (CDI)
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Added to the National Map: Web Services for the National Hydrography Dataset, National Elevation Dataset and National Land Cover Dataset

As one of the cornerstones of the U.S. Geological Survey's (USGS) National Geospatial Program, The National Map is a collaborative effort among the USGS and other Federal, State, and local partners to improve and deliver topographic information for the Nation. It has many uses ranging from recreation to scientific analysis to emergency response. The National Map is easily accessible for display on
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Aggregated Oil and Natural Gas Drilling and Production History of the United States (ver. 1.1, April 2023)

This data release provides several datasets that provide an overview of oil and gas well history and production of the United States, from 1817 to September 1, 2022. Well history data is aggregated into 1- and 10-mile squares indicating the total number of wells and counts of wells classified as oil, gas, dry, injection, hydraulically fractured, and/or horizontal wells. Well history is also binned
By
Central Energy Resources Science Center

USGS Earthmap Capacity Assessment Dataset

The U.S. Geological Survey provides a wide range of scientific information to an even wider group of stakeholders. Understanding what capacities are needed and if and or where these capacities exist across the USGS landscape is critical in moving science to the next level of use, implementation, and visualization. The concept behind the groups organized to conduct and interpret the survey that col

Cumulative Production Per Township - SaMiRa

This dataset contains a selected township grid within the SaMiRa (see purpose for a description of the SaMiRa project) study area attributed with cumulative oil and gas production data obtained with permission from IHS Energy Global production data.
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Central Energy Resources Science Center

Exploration and Well Status, Quarter Miles Cells - SaMiRa

Cell maps were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a given area; in this case, covering the SaMiRa project area of interest. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-
By
Central Energy Resources Science Center

Science and Products