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The path to FAIR research models: Lessons learned The path to FAIR research models: Lessons learned

Numerical modeling of Earth surface processes emerged as an important scientific tool in the late 1960s to mid-1970s, driven by the development of finite element methods in computer science. These advancements, initially applied in civil engineering, enabled scientists to simulate complex geological phenomena. At that time, models were often only described in publications, access was...
Authors
Albert Kettner, Leslie Hsu, Brandon Serna

Artificial intelligence strategy for the U.S. Geological Survey Artificial intelligence strategy for the U.S. Geological Survey

Artificial intelligence (AI) can offer opportunities to enhance the science, science delivery, and business operations of the U.S. Geological Survey (USGS). Although USGS staff have proactively adopted AI into our workflows for many years, a comprehensive USGS strategy for AI has not previously been developed. The strategy described here is motivated by the acceleration of AI...
Authors
Janice M. Gordon, Alison P. Appling, Alfredo Aretxabaleta, John F. Bechtell, Thomas E. Burley, Janet M. Carter, Peter C. Esselman, Jason C. Fisher, Graham W. Lederer, James M. Mitchell, Neal J. Pastick, Jake Weltzin, Tim Woods

Turning trash into treasure: Leveraging discarded filters for national-scale aquatic eDNA biomonitoring Turning trash into treasure: Leveraging discarded filters for national-scale aquatic eDNA biomonitoring

Monitoring biodiversity changes over large spatiotemporal scales is critical for effective ecosystem conservation and management. This study investigates the potential of environmental DNA (eDNA) metabarcoding to enhance national-scale biomonitoring of freshwater diversity by leveraging discarded filters associated with routine water quality sampling from the U.S. Geological Survey's...
Authors
Devin Nicole Jones-Slobodian, Daniel J. Wieferich, Noah Fierer, Joseph Crane, Adam Sepulveda

Sparse genetic data limit biodiversity assessments in protected areas globally Sparse genetic data limit biodiversity assessments in protected areas globally

Global conservation targets include protecting genetic diversity within species. Yet few studies have assessed whether protected areas (PAs) include genetically diverse populations across species globally. A first step is understanding the availability of population genetic data that could be used in these assessments. We surveyed georeferenced population-level nuclear (as opposed to...
Authors
Ivan Paz-Vinas, Amy G. Vandergast, Chloé Schmidt, Deborah M. Leigh, Simon Blanchet, René D. Clark, Eric D. Crandall, Hanne De Kort, Jeff T. Falgout, Colin J. Garroway, Eleana Karachaliou, Francine Kershaw, David O’Brien, Malin L. Pinsky, Gernot Segelbacher, Rachel H. Toczydlowski, Margaret Hunter

The National Fish Habitat Partnership – A unique path to conserving fish habitat The National Fish Habitat Partnership – A unique path to conserving fish habitat

The National Fish Habitat Partnership (NFHP) is a science based, non-regulatory, partnership-driven effort to conserve fish habitat across the USA. The NFHP was developed in the early to mid-2000s in response to the noted declines to fish populations and their associated habitats across the USA with the effort led by the Association of Fish and Wildlife Agencies and supported by a wide...
Authors
Gary Whelan, Alexandra McOwen, Daniel J. Wieferich

A metadata checklist and data formatting guidelines to make eDNA FAIR (Findable, Accessible, Interoperable and Reusable) A metadata checklist and data formatting guidelines to make eDNA FAIR (Findable, Accessible, Interoperable and Reusable)

The success of environmental DNA (eDNA) approaches for species detection has revolutionized biodiversity monitoring and distribution mapping. Targeted eDNA amplification approaches, such as quantitative PCR, have improved our understanding of species distribution, and metabarcoding-based approaches have enabled biodiversity assessment at unprecedented scales and taxonomic resolution...
Authors
Miwa Takahashi, Tobias Frøslev Guldberg, Joana Pauperio, Bettina Thalinger, Katy E. Klymus, Caren C. Helbing, Cecilia Villacorta-Rath, Katherine Silliman, Luke R. Thompson, Sean Jungbluth, Suk Yee Yong, Stephen Killfoile Formel, Gareth Jenkins, Martin Laporte, Bruce Deagle, Sachit Rajbhandari, Thomas Jeppesen Stjernegaard, Andrew Bissett, Christopher L. Jerde, Erin E. Hahn, Lynn M. Schriml, Christopher Hunter, Peggy Newman, Peter Woollard, Lynsey R. Harper, Nicholas Dunn, Katrina West, Rachel Haderlé, Shaun Wilkinson, Neha Acharya-Patel, Mark Louie D. Lopez, Guy Cochrane, Oliver Berry

Planting seeds for thriving data management Planting seeds for thriving data management

The volumes and varieties of data coming from all types of scientific instrumentation around the globe and beyond are rapidly growing. To reuse and capitalize on these data effectively, scientists must be able to share and access them efficiently, which requires the data to be well managed. Many scientists intuit that research data management (RDM) done well does not mean using dusty USB...
Authors
Abigail Benson, Stace Beaulieu, Bradley Wade Bishop, Stephen C. Diggs, Stephen Killfoile Formel

United States Register of Introduced and Invasive Species United States Register of Introduced and Invasive Species

The pervasive and insidious threat of invasive species costs the United States more than $120 billion, annually. An invasive species is an organism that is not native to a locality and causes (or is likely to cause) harm. An introduced species is one that is nonnative to a locality and occurs there because of human activities or their consequences, including the species’ intentional or
Authors
Annie Simpson, Mark T. Wiltermuth, Mireya Dorado

Advanced Research Computing Advanced Research Computing

Advanced Research Computing provides access to high-performance computing (HPC) resources as well as training and consultation for effective use of these powerful systems. This product outlines current HPC machines, capabilities, classes, and enabled science.
Authors
Leah Colasuonno, Rebecca D. Uribe, Janice M. Gordon, Jeff T. Falgout

Exposure, sensitivity, or adaptive capacity? Reviewing assessments that use only two of three elements of climate change vulnerability Exposure, sensitivity, or adaptive capacity? Reviewing assessments that use only two of three elements of climate change vulnerability

As climate change accelerates, understanding which species are most vulnerable and why they are vulnerable will be vital to inform conservation action. Climate change vulnerability assessments (CCVAs) are tools to assess species' responses to climate change, detect drivers of vulnerability, and inform conservation planning. CCVAs are commonly composed of three elements: exposure...
Authors
Amanda A. Hyman, Erin R. Crone, Abigail Benson, Jason Dunham, Abigail J. Lynch, Laura Thompson, Meryl C. Mims

Real-time lava flow forecasting during the 2022 Mauna Loa eruption response Real-time lava flow forecasting during the 2022 Mauna Loa eruption response

On November 27, 2022, Mauna Loa (Hawai‘i) erupted for the first time in 38 years, initially producing lava flows that covered the floor of its summit caldera, Moku‘āweoweo. Over the first 12 h following the summit eruption, four main fissures opened on Mauna Loa’s Northeast Rift Zone, with “fissure 3” quickly becoming the dominant source of lava flows. For the next 12 days, fissure 3...
Authors
David M.R. Hyman, Hannah R. Dietterich, Elisabeth Gallant, Kendra J. Lynn, Michael H. Zoeller, Matthew R. Patrick, Jim Kauahikaua, Frank Trusdell, Ken Hon, Roger P. Denlinger, N. Leon Foks, R. Lopaka Lee, Jeff T. Falgout, Janice M. Gordon

Standard data management practices Standard data management practices

Accomplishing data management in a standardized and practical way begins with an understanding of what data management is. The Data Management Association defines data management as “the development, execution, and supervision of plans, policies, programs, and practices that deliver, control, protect, and enhance the value of data and information assets throughout their lifecycles”...
Authors
Rebecca Krogman, Jennifer M. Bayer, Arthur Cooper, Jeff Kopaska, Nancy J. Leonard, Jeremy Pritt, Colleen Roe, Erin Tracy, Paul A. Venturelli, Daniel J. Wieferich, Dana M. Infante
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