11 Works

Data from: Kinetics of calcite precipitation by ureolytic bacteria under aerobic and anaerobic conditions

Andrew C. Mitchell, Erika J. Espinosa-Ortiz, Stacy L. Parks, Adrienne J. Phillips, Alfred B. Cunningham & Robin Gerlach
The kinetics of urea hydrolysis (ureolysis) and induced calcium carbonate (CaCO3) precipitation for engineering use in the subsurface was investigated under aerobic conditions using Sporosarcina pasteurii (ATCC strain 11859) as well as Bacillus sphaericus strains 21776 and 21787. All bacterial strains showed ureolytic activity inducing CaCO3 precipitation aerobically. Rate constants not normalized to biomass demonstrated slightly higher rate coefficients for both ureolysis (kurea) and CaCO3 precipitation (kprecip) for B. sphaericus 21776 (kurea = 0.10 ±...

Data from: Reconstructing the mass and thermal ecology of North American Pleistocene tortoises

Donald A. Esker, Steven L. Forman & Dava K. Butler
Researchers often interpret the presence of tortoises in Pleistocene assemblages as evidence of an interglacial age, based on an assumption that these fossils indicate thermic climates, as modern giant tortoises require. Since the Paleocene, tortoises have been common components of terrestrial fossil assemblages and have repeatedly evolved species of giant size. Whereas extant giant tortoises are found only on islands off the coasts of South America and Africa, at least two species persisted in North...

Data from: Simulation-based validation of spatial capture-recapture models: a case study using mountain lions

J. Terrill Paterson, Kelly Proffitt, Ben Jimenez, Jay Rotella & Robert Garrott
Spatial capture-recapture (SCR) models have improved the ability to estimate densities of rare and elusive animals. However, SCR models have seldom been validated even as model formulations diversify and expand to incorporate new sampling methods and/or additional sources of information on model parameters. Information on the relationship between encounter probabilities, sources of additional information, and the reliability of density estimates, is rare but crucial to assessing reliability of SCR-based estimates. We used a simulation-based approach...

Data from: Modelling misclassification in multi-species acoustic data when estimating occupancy and relative activity

Wilson J Wright, Kathryn M Irvine, Emily S Almberg & Andrea R Litt
1. Surveying wildlife communities provides data for informing conservation and management decisions that affect multiple species. Autonomous recording units (ARUs) can efficiently gather community data for a variety of taxa, but generally require software algorithms to classify each recorded call to a species. Species classification errors are possible during this process and result in both false negative and false positive detections. Available approaches for analysing ARU data do not model the species classification probabilities, meaning...

Incorporating evaporative water loss into bioenergetic models of hibernation to test for relative influence of host and pathogen traits on white-nose syndrome

Catherine Haase, Nathan Fuller, C. Reed Hranac, David Hayman, Liam McGuire, Kaleigh Norquay, Kirk Silas, Craig Willis, Raina Plowright & Sarah Olson
Hibernation consists of extended durations of torpor interrupted by periodic arousals. The ‘dehydration hypothesis’ proposes that hibernating mammals arouse to replenish water lost through evaporation during torpor. Arousals are energetically expensive, and increased arousal frequency can alter survival throughout hibernation. Yet we lack a means to assess the effect of evaporative water loss (EWL), determined by animal physiology and hibernation microclimate, on torpor bout duration and subsequent survival. White-nose syndrome (WNS), a devastating disease impacting...

Spectral data for quaking aspen (Populus tremuloides) clones of different ploidy levels

B. Blonder, B.J. Graae, B. Greer, M. Haagsma, K. Helsen, R.E. Kapás, H. Pai, J. Rieksta, D. Sapena, C.J. Still & R. Strimbeck
Data comprise measurements of spectral reflectance for quaking aspen (Populus tremuloides Michx.) trees at a range of sites in southwestern Colorado near the town of Crested Butte. Spectra were measured in three different ways: hyperspectral measurements of leaves, hyperspectral measurements of bark, and multispectral measurements of canopies. The first two measurements were made using a handheld spectrometer, while the latter were made via airborne imaging from an unmanned aerial system. In addition to these reflectance...

Data from: Characters matter: how narratives shape affective responses to risk communication

Elizabeth A. Shanahan, Ann Marie Reinhold, Eric D. Raile, Geoffrey C. Poole, Richard C. Ready, Clemente Izurieta, Jamie McEvoy, Nicolas T. Bergmann & Henry King
Introduction Whereas scientists depend on the language of probability to relay information about hazards, risk communication may be more effective when embedding scientific information in narratives. The persuasive power of narratives is theorized to reside, in part, in narrative transportation. Purpose This study seeks to advance the science of stories in risk communication by measuring real-time affective responses as a proxy indicator for narrative transportation during science messages that present scientific information in the context...

RAMP data subset, January 1 through May 31, 2019

Jonathan Wheeler, Kenning Arlitsch, Minh Pham, Nikolaus Parulian, Patrick OBrien & Jeff Mixter
The data are a subset of data from RAMP, the Repository Analytics and Metrics Portal (http://ramp.montana.edu/), consisting of data from 35 (out of 50) participating institutional repositories (IR) from the period of January 1 through May 31, 2019. This subset represents data analyzed for a pending publication. For a description of the data collection, processing, and output methods, please see the "methods" section below. The 'RAMP Primer,' a Jupyter Notebook consisting of Python code for...

Macroimmunology: the drivers and consequences of spatial patterns in wildlife immune defense

Daniel Becker, Gregory Albery, Maureen Kessler, Tamika Lunn, Caylee Falvo, Gábor Czirják, Lynn Martin & Raina Plowright
1. Spatial variation in parasite pressure, abiotic and biotic conditions, and anthropogenic factors can all shape immune phenotypes across spatial scales. Identifying the most important spatial drivers of immunity could help preempt infectious disease risks, especially in the context of how large-scale factors such as urbanization affect defense by changing environmental conditions. 2. We provide a synthesis of how to apply macroecological approaches to the study of ecoimmunology (i.e., macroimmunology). We first review spatial factors...

Data from: Fire-regime complacency and sensitivity to centennial- through millennial-scale climate change in Rocky Mountain subalpine forests, Colorado, U.S.A.

Philip E. Higuera, Christy E. Briles & Cathy Whitlock
1. Key uncertainties in anticipating future fire regimes are their sensitivity to climate change, and the degree to which climate will impact fire regimes directly, through increasing the probability of fire, versus indirectly, through changes in vegetation and landscape flammability. 2. We studied the sensitivity of subalpine forest fire regimes (i.e., fire frequency, fire severity) to previously documented climate variability over the past 6000 years, utilizing pollen and macroscopic charcoal from high-resolution lake-sediment records in...

Data from: A segmentation algorithm for characterizing Rise and Fall segments in seasonal cycles: an application to XCO2 to estimate benchmarks and assess model bias

Leonardo Calle, Benjamin Poulter & Prabir K. Patra
There is more useful information in the time series of satellite-derived column-averaged carbon dioxide (XCO2) than is typically characterized. Often, the entire time series is treated at once without considering detailed features at shorter timescales, such as nonstationary changes in signal characteristics – amplitude, period and phase. In many instances, signals are visually and analytically differentiable from other portions in a time series. Each rise (increasing) and fall (decreasing) segment in the seasonal cycle is...

Registration Year

  • 2019

Resource Types

  • Dataset


  • Montana State University
  • Baylor University
  • Oregon State University
  • Aberystwyth University
  • Goddard Space Flight Center
  • University of Nevada Reno
  • Georgetown University
  • University of Winnipeg
  • University of Colorado Denver
  • Indiana University Bloomington