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An evaluation of the reliability of plumage characters for sexing adult Ruddy Turnstones Arenaria interpres morinella during northward passage in eastern North America An evaluation of the reliability of plumage characters for sexing adult Ruddy Turnstones Arenaria interpres morinella during northward passage in eastern North America
We used two datasets to investigate the reliability of plumage for sexing adult Ruddy Turnstones Arenaria interpres of the morinella subspecies during May and early June in Delaware Bay, on the Mid-Atlantic Coast of the United States (39.1202°N, 75.2479°W). We first examined 23 years of data on the capture and recapture of 1,818 individual Ruddy Turnstones to assess the consistency of...
Authors
Peter J. Fullagar, R. Terry Chesser, Humphrey P. Sitters, Christopher C. Davey, Lawrence J. Niles, Sergei V. Drovetski, M. Nandadevi Cortes-Rodriguez
The mysterious case of the missing razor clams The mysterious case of the missing razor clams
Oceans are changing and these changes are affecting animals that live there. Animals respond differently to changes in water temperature, food availability, or contaminants. Those responses can be seen in their genes. Gene transcription is a tool that allows scientists to see the response of an animal’s genes to its environment. We used gene transcription to compare two populations of...
Authors
Heather Coletti, Lizabeth Bowen, Brenda Ballachey, Tammy L. Wilson, Shannon C. Waters-Dynes, Michael Booz, Katrina Counihan, Tuula E. Hollmen, Benjamin Pister
Revised earthquake geology inputs for the central and eastern United States and southeast Canada for the 2023 National Seismic Hazard Model Revised earthquake geology inputs for the central and eastern United States and southeast Canada for the 2023 National Seismic Hazard Model
It has been nearly a decade since updates to seismic and fault sources in the central and eastern United States (CEUS) were last assessed for the 2012 Central and Eastern United States Seismic Source Characterization for nuclear facilities (CEUS-SSCn) and 2014 United States Geological Survey National Seismic Hazard Model (NSHM) for the conterminous U.S. In advance of the 2023 NSHM update...
Authors
Jessica A. Thompson Jobe, Alexandra Elise Hatem, Ryan D. Gold, Christopher B. DuRoss, Nadine G. Reitman, Richard W. Briggs, Camille Marie Collett
Advances in coral immunity ‘omics in response to disease outbreaks Advances in coral immunity ‘omics in response to disease outbreaks
Coral disease has progressively become one of the most pressing issues affecting coral reef survival. In the last 50 years, several reefs throughout the Caribbean have been severely impacted by increased frequency and intensity of disease outbreaks leading to coral death. A recent example of this is stony coral tissue loss disease which has quickly spread throughout the Caribbean...
Authors
Nikki Traylor-Knowles, Andrew C. Baker, Kelsey M. Beavers, Neha Garg, Jeffrey R. Guyon, Aine C. Hawthorn, Nicholas J. MacKnight, Mónica Medina, Laura D. Mydlarz, Esther C. Peters, Julia Marie Stewart, Michael S. Studivan, Joshua D. Voss
Discovering hidden geothermal signatures using non-negative matrix factorization with customized k-means clustering Discovering hidden geothermal signatures using non-negative matrix factorization with customized k-means clustering
Discovery of hidden geothermal resources is challenging. It requires the mining of large datasets with diverse data attributes representing subsurface hydrogeological and geothermal conditions. The commonly used play fairway analysis approach typically incorporates subject-matter expertise to analyze regional data to estimate geothermal characteristics and favorability. We demonstrate an...
Authors
Velimir V. Vesselinov, Bulbul Ahmmed, Maruti K. Mudunuru, Jeffrey D. Pepin, Erick R. Burns, Drew L. Siler, Satish Karra, Richard S. Middleton
Selecting auditory alerting stimuli for eagles on the basis of auditory evoked potentials Selecting auditory alerting stimuli for eagles on the basis of auditory evoked potentials
Development of wind energy facilities results in interactions between wildlife and wind turbines. Raptors, including bald and golden eagles, are among the species known to incur mortality from these interactions. Several alerting technologies have been proposed to mitigate this mortality by increasing eagle avoidance of wind energy facilities. However, there has been little attempt to...
Authors
Benjamin Goller, Patrice Baumhardt, Ernesto Dominguez-Villegas, Todd E. Katzner, Esteban Fernandez-Juricic, Jeffrey R. Lucas
Physics-guided architecture (PGA) of LSTM models for uncertainty quantification in lake temperature modeling Physics-guided architecture (PGA) of LSTM models for uncertainty quantification in lake temperature modeling
This chapter focuses on meeting the need to produce neural network outputs that are physically consistent and also express uncertainties, a rare combination to date. It explains the effectiveness of physics-guided architecture - long-short-term-memory (PGA-LSTM) in achieving better generalizability and physical consistency over data collected from Lake Mendota in Wisconsin and Falling...
Authors
Arka Daw, R. Quinn Thomas, Cayelan C. Carey, Jordan Read, Alison P. Appling, Anuj Karpatne
Heat budget of lakes Heat budget of lakes
This article gives an overview of the heat fluxes between lakes and their environment. The heat budget of most lakes is dominated by heat fluxes at the lake surface, especially shortwave radiation, incoming and outgoing longwave radiation, and the latent heat flux. The seasonality of these fluxes is the most important driver for seasonal mixing processes in lakes. Changes in heat fluxes...
Authors
Martin Schmid, Jordan Read
Physics-guided neural networks (PGNN): An application in lake temperature modeling Physics-guided neural networks (PGNN): An application in lake temperature modeling
This chapter introduces a framework for combining scientific knowledge of physics-based models with neural networks to advance scientific discovery. It explains termed physics-guided neural networks (PGNN), leverages the output of physics-based model simulations along with observational features in a hybrid modeling setup to generate predictions using a neural network architecture. Data...
Authors
Arka Daw, Anuj Karpatne, William Watkins, Jordan Read, Vipin Kumar
Physics-guided recurrent neural networks for predicting lake water temperature Physics-guided recurrent neural networks for predicting lake water temperature
This chapter presents a physics-guided recurrent neural network model (PGRNN) for predicting water temperature in lake systems. Standard machine learning (ML) methods, especially deep learning models, often require a large amount of labeled training samples, which are often not available in scientific problems due to the substantial human labor and material costs associated with data...
Authors
Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan Read, Jacob Aaron Zwart, Michael Steinbach, Vipin Kumar
Planetary-scale change to the biosphere signalled by global species translocations can be used to identify the Anthropocene Planetary-scale change to the biosphere signalled by global species translocations can be used to identify the Anthropocene
We examine three distinctive biostratigraphic signatures associated with: hunting and gathering, landscape domestication, and globalisation. All three signatures have significant fossil records of regional importance that can be correlated inter-regionally and help describe the developing pattern of human expansion and appropriation of resources. While none have individual first or last
Authors
Mark Williams, Reinhold Leinfelder, Anthony D. Barnosky, Martin J Head, Francine M G McCarthy, Cearreta. Alejandro, Stephen J Himson, Rachael Holmes, Colin N. Waters, Jan Zalasiewicz, Simon Turner, Mary McGann, Elizabeth A. Hadly, M. Allison Stegner, Paul Michael Pilkington, Jerome Kaiser, Juan Carlos Berrio, Ian P. Wilkinson, Jens Zinke, Kristine L. DeLong
Daily surface temperatures for 185,549 lakes in the conterminous United States estimated using deep learning (1980–2020) Daily surface temperatures for 185,549 lakes in the conterminous United States estimated using deep learning (1980–2020)
The dataset described here includes estimates of historical (1980–2020) daily surface water temperature, lake metadata, and daily weather conditions for lakes bigger than 4 ha in the conterminous United States (n = 185,549), and also in situ temperature observations for a subset of lakes (n = 12,227). Estimates were generated using a long short-term memory deep learning model and...
Authors
Jared D. Willard, Jordan Read, Simon Nemer Topp, Gretchen J. A. Hansen, Vipin Kumar