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Dennis H Walworth

Dennis is a Data Manager for the Alaska Science Center.

Science and Products

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Alaska Science Center Data Policy

The Data Policy for ASC staff and contractors requires that research data, computational models, software and scripts, web-based tools, and information products (collectively “data”) adhere to the following policy statements.
By
Alaska Science Center
link

Alaska Science Center Data Policy

The Data Policy for ASC staff and contractors requires that research data, computational models, software and scripts, web-based tools, and information products (collectively “data”) adhere to the following policy statements.
Learn More
link
USGS science for a changing world logo

Content Specifications to Enable USGS Transition to ISO Metadata Standard

USGS will soon transition to the international metadata standards known collectively as ISO 19115. The open-ended nature of ISO benefits with much greater flexibility and vocabulary to describe research products. However, that flexibility means few constraints that can guide authors and ensure standardized, robust documentation across the bureau. This project proposed that the USGS data community
By
Community for Data Integration (CDI)
link

Content Specifications to Enable USGS Transition to ISO Metadata Standard

USGS will soon transition to the international metadata standards known collectively as ISO 19115. The open-ended nature of ISO benefits with much greater flexibility and vocabulary to describe research products. However, that flexibility means few constraints that can guide authors and ensure standardized, robust documentation across the bureau. This project proposed that the USGS data community
Learn More

Community for data integration 2018 funded project report

The U.S. Geological Survey Community for Data Integration annually funds small projects focusing on data integration for interdisciplinary research, innovative data management, and demonstration of new technologies. This report provides a summary of the 10 projects funded in fiscal year 2018, outlining their goals, activities, and accomplishments.
Authors
Leslie Hsu, Caitlin M. Andrews, John B. Bradford, Daniel D. Buscombe, Katherine J. Chase, Wesley M. Daniel, Jeanne M. Jones, Pam Fuller, Benjamin B. Mirus, Matthew E. Neilson, Hans W. Vraga, Jessica J. Walker, Dennis H. Walworth, Jonathan Warrick, Jake Weltzin, Daniel J. Wieferich, Nathan J. Wood
By
Ecosystems Mission Area, Science Synthesis, Analysis and Research Program, Science Analytics and Synthesis (SAS) Program, Community for Data Integration (CDI), Wetland and Aquatic Research Center , Science Data Management

Conceptual data modeling of wildlife response indicators to ecosystem change in the Arctic

Large research studies are often challenged to effectively expose and document the types of information being collected and the reasons for data collection across what are often a diverse cadre of investigators of differing disciplines. We applied concepts from the field of information or data modeling to the U.S. Geological Survey (USGS) Changing Arctic Ecosystems (CAE) initiative to prototype an
Authors
Dennis H. Walworth, John M. Pearce
By
Ecosystems Mission Area, Alaska Science Center

Historical and contemporary imagery to assess ecosystem change on the Arctic coastal plain of northern Alaska

The Arctic Coastal Plain of northern Alaska is a complex landscape of lakes, streams, and wetlands scattered across low-relief tundra that is underlain by permafrost. This region of the Arctic has experienced a warming trend over the past three decades leading to thawing of on-shore permafrost and the disappearance of sea ice at unprecedented rates. The U.S. Geological Survey’s (USGS) Changing Arc
Authors
Ken D. Tape, John M. Pearce, Dennis H. Walworth, Brandt W. Meixell, Tom F. Fondell, David D. Gustine, Paul L. Flint, Jerry W. Hupp, Joel A. Schmutz, David H. Ward
By
Ecosystems Mission Area, Alaska Science Center

USGS ISO Content Specifications

A repository for USGS ISO metadata content specifications. Content specifications define documentation requirements for various USGS data and software products. These specs are used to guide authors in developing robust standardized metadata using the ISO 19115 suite of metadata standards. The repository is used for development, testing and implementation of content spec modules. It contains guida
By
Science Synthesis, Analysis and Research Program, Science Analytics and Synthesis (SAS) Program, Alaska Science Center

Science and Products

link
placeholder for data files

Alaska Science Center Data Policy

The Data Policy for ASC staff and contractors requires that research data, computational models, software and scripts, web-based tools, and information products (collectively “data”) adhere to the following policy statements.
By
Alaska Science Center
link

Alaska Science Center Data Policy

The Data Policy for ASC staff and contractors requires that research data, computational models, software and scripts, web-based tools, and information products (collectively “data”) adhere to the following policy statements.
Learn More
link
USGS science for a changing world logo

Content Specifications to Enable USGS Transition to ISO Metadata Standard

USGS will soon transition to the international metadata standards known collectively as ISO 19115. The open-ended nature of ISO benefits with much greater flexibility and vocabulary to describe research products. However, that flexibility means few constraints that can guide authors and ensure standardized, robust documentation across the bureau. This project proposed that the USGS data community
By
Community for Data Integration (CDI)
link

Content Specifications to Enable USGS Transition to ISO Metadata Standard

USGS will soon transition to the international metadata standards known collectively as ISO 19115. The open-ended nature of ISO benefits with much greater flexibility and vocabulary to describe research products. However, that flexibility means few constraints that can guide authors and ensure standardized, robust documentation across the bureau. This project proposed that the USGS data community
Learn More

Community for data integration 2018 funded project report

The U.S. Geological Survey Community for Data Integration annually funds small projects focusing on data integration for interdisciplinary research, innovative data management, and demonstration of new technologies. This report provides a summary of the 10 projects funded in fiscal year 2018, outlining their goals, activities, and accomplishments.
Authors
Leslie Hsu, Caitlin M. Andrews, John B. Bradford, Daniel D. Buscombe, Katherine J. Chase, Wesley M. Daniel, Jeanne M. Jones, Pam Fuller, Benjamin B. Mirus, Matthew E. Neilson, Hans W. Vraga, Jessica J. Walker, Dennis H. Walworth, Jonathan Warrick, Jake Weltzin, Daniel J. Wieferich, Nathan J. Wood
By
Ecosystems Mission Area, Science Synthesis, Analysis and Research Program, Science Analytics and Synthesis (SAS) Program, Community for Data Integration (CDI), Wetland and Aquatic Research Center , Science Data Management

Conceptual data modeling of wildlife response indicators to ecosystem change in the Arctic

Large research studies are often challenged to effectively expose and document the types of information being collected and the reasons for data collection across what are often a diverse cadre of investigators of differing disciplines. We applied concepts from the field of information or data modeling to the U.S. Geological Survey (USGS) Changing Arctic Ecosystems (CAE) initiative to prototype an
Authors
Dennis H. Walworth, John M. Pearce
By
Ecosystems Mission Area, Alaska Science Center

Historical and contemporary imagery to assess ecosystem change on the Arctic coastal plain of northern Alaska

The Arctic Coastal Plain of northern Alaska is a complex landscape of lakes, streams, and wetlands scattered across low-relief tundra that is underlain by permafrost. This region of the Arctic has experienced a warming trend over the past three decades leading to thawing of on-shore permafrost and the disappearance of sea ice at unprecedented rates. The U.S. Geological Survey’s (USGS) Changing Arc
Authors
Ken D. Tape, John M. Pearce, Dennis H. Walworth, Brandt W. Meixell, Tom F. Fondell, David D. Gustine, Paul L. Flint, Jerry W. Hupp, Joel A. Schmutz, David H. Ward
By
Ecosystems Mission Area, Alaska Science Center

USGS ISO Content Specifications

A repository for USGS ISO metadata content specifications. Content specifications define documentation requirements for various USGS data and software products. These specs are used to guide authors in developing robust standardized metadata using the ISO 19115 suite of metadata standards. The repository is used for development, testing and implementation of content spec modules. It contains guida
By
Science Synthesis, Analysis and Research Program, Science Analytics and Synthesis (SAS) Program, Alaska Science Center
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