35 Works

Highlights from 10+ years of lichenological research in Great Smoky Mountains National Park: celebrating the United States National Park Service Centennial

Erin A. Tripp & James C. Lendemer
Great Smoky Mountains National Park is renowned as one of the most biologically diverse tracts of land in North America and is the most visited national park in the United States. The park comprises ∼830 square miles, epitomizes eastern temperate hardwood forests of North America, and serves as a refuge for nearly 20,000 documented species from microbes to plants and mammals. Lichens comprise one particularly diverse group of organisms in the park. In this study,...

Fruit syndromes in Viburnum: correlated evolution of color, nutritional content, and morphology in bird-dispersed fleshy fruits

Miranda Sinnott-Armstrong, Chong Lee, Wendy Clement & Michael Donoghue
Premise A key question in plant dispersal via animal vectors is where and why fruit colors vary between species and how color relates to other fruit traits. To better understand the factors shaping the evolution of fruit color diversity, we tested for the existence of syndromes of traits (color, morphology, and nutrition) in the fruits of Viburnum. We placed these results in a larger phylogenetic context and reconstructed ancestral states to assess how Viburnum fruit...

Data from: Repeated fires reduce plant diversity in low-elevation Wyoming big sagebrush ecosystems (1984-2014)

Adam L. Mahood & Jennifer K. Balch
Sagebrush is one of the most imperiled ecosystems in Western North America, having lost about half of its original 62 million hectare extent. Annual grass invasions are known to be increasing wildfire occurrence and burned area, but the lasting effects (> five years post-fire) that the resulting reburns have on these plant communities are unclear. We created a fire history atlas from 31 years (1984 to 2014) of Landsat-derived fire data to sample along a...

Venus Climate Orbiter Akatsuki LIR Geometry Information PDS3 dataset

Shin-ya Murakami, Manabu Yamada, Kevin McGouldrick, Yukio Yamamoto & George L. Hashimoto
This dataset contains products of geometry information for purpose of reference, calculated by SPICE toolkit using SPICE kernels provided as VCO-V-SPICE-6-V1.0 dataset, associated with images acquired by the LIR instrument of the Venus Climate Orbiter (VCO, also known as PLANET-C and AKATSUKI) spacecraft. This dataset conforms PDS3 Standard. This dataset uses the Committee on Data Management and Computation (CODMAC) data level numbering system. The LIR SEDRs are considered Level 3 or Supplementary Experiment Data (equivalent...

Venus Climate Orbiter Akatsuki IR2 Raw Data PDS3 dataset

Shin-ya Murakami, Takehiko Satoh, Manabu Yamada, Atsushi Yamazaki, Kevin McGouldrick, Yukio Yamamoto & George L. Hashimoto
This dataset contains products acquired by the IR2 instrument of the Venus Climate Orbiter (VCO, also known as PLANET-C and AKATSUKI) spacecraft. This dataset conforms PDS3 Standard. This dataset uses the Committee on Data Management and Computation (CODMAC) data level numbering system. The IR2 EDRs are considered Level 2 or Edited Data (equivalent to NASA Level 1A). The EDRs are reconstructed from Level 1 or Raw Data. This dataset consists entirely of FITS files. Uncalibrated...

Data from: Environmental gradients determine the potential for ecosystem engineering effects

Joshua B. Grinath, Loralee Larios, Laura R. Prugh, Justin S. Brashares & Katharine N. Suding
Understanding processes that determine biodiversity is a fundamental challenge in ecology. At the landscape scale, physical alteration of ecosystems by organisms, called ecosystem engineering, enhances biodiversity worldwide by increasing heterogeneity in resource conditions and enhancing species coexistence across engineered and non-engineered habitats. Engineering-diversity relationships can vary along environmental gradients due to changes in the amount of physical structuring created by ecosystem engineering, but it is unclear how this variation is influenced by the responsiveness of...

Data from: Food and habitat provisions jointly determine competitive and facilitative interactions among distantly related herbivores

Duofeng Pan, Xincheng Li, Kejia De, Ling Wang, Deli Wang, Qinfeng Guo, Chao Gao, Zhiwei Zhong, Zhu Hui, Zhongbao Shen & Timothy Seastedt
1. Interactions between distantly related herbivores exert powerful influences on ecosystems, but most studies to date have only considered unidirectional effects. Few have simultaneously examined the mutual effects that vertebrate herbivores and insect herbivores have on one another. 2. We conducted a set of manipulative experiments to evaluate the potential competition and facilitation between two pairs of distantly related herbivore taxa: an insect caterpillar (Gynaephora alpherakii) and two large vertebrate herbivores, yak (Bos grunniens) and...

Data from \"2019 State of Open at the University of Colorado Boulder\" Report

Andrew Johnson, Ryan Caillet, Melissa Cantrell & Katie Mika
Data from the "2019 State of Open at the University of Colorado Boulder" report. ZIP file includes CSV files containing data about all articles published in full open access (OA) journals by University of Colorado Boulder (CU Boulder) authors from 2012 to 2018, all articles funded by the CU Boulder Libraries Open Access Fund from 2013 to 2018, and all published data sets reported by CU Boulder faculty members in the Faculty Report of Professional...

Accuracy of Snow Water Equivalent Estimated from Synthetic GPS Vertical Displacements

Thomas Enzminger

Venus Climate Orbiter Akatsuki UVI Calibrated Data PDS3 dataset

Shin-ya Murakami, Manabu Yamada, Atsushi Yamazaki, Kevin McGouldrick, Yukio Yamamoto & George L. Hashimoto
This dataset contains products acquired by the UVI instrument of the Venus Climate Orbiter (VCO, also known as PLANET-C and AKATSUKI) spacecraft. This dataset conforms PDS3 Standard. This dataset uses the Committee on Data Management and Computation (CODMAC) data level numbering system. The UVI CDRs are considered Level 3 or Composite Data (equivalent to NASA Level 1B). The CDRs are reconstructed from Level 2 or Edited Data. This dataset consists entirely of FITS files. Calibrated...

Venus Climate Orbiter Akatsuki UVI Raw Data PDS3 dataset

Shin-ya Murakami, Manabu Yamada, Atsushi Yamazaki, Kevin McGouldrick, Yukio Yamamoto & George L. Hashimoto
This dataset contains products acquired by the UVI instrument of the Venus Climate Orbiter (VCO, also known as PLANET-C and AKATSUKI) spacecraft. This dataset conforms PDS3 Standard. This dataset uses the Committee on Data Management and Computation (CODMAC) data level numbering system. The UVI EDRs are considered Level 2 or Edited Data (equivalent to NASA Level 1A). The EDRs are reconstructed from Level 1 or Raw Data. This dataset consists entirely of FITS files. Uncalibrated...

Venus Climate Orbiter Akatsuki LIR Calibrated Data PDS3 dataset

Shin-ya Murakami, Toru Kouyama, Tetsuya Fukuhara, Makoto Taguchi, Kevin McGouldrick, Yukio Yamamoto & George L. Hashimoto
This dataset contains products acquired by the LIR instrument of the Venus Climate Orbiter (VCO, also known as PLANET-C and AKATSUKI) spacecraft. This dataset conforms PDS3 Standard. This dataset uses the Committee on Data Management and Computation (CODMAC) data level numbering system. The LIR CDRs are considered Level 3 or Composite Data (equivalent to NASA Level 1B). The CDRs are reconstructed from Level 2 or Edited Data. This dataset consists entirely of FITS files. Calibrated...

Venus Climate Orbiter Akatsuki IR2 Calibrated Data PDS3 dataset

Shin-ya Murakami, Takehiko Satoh, Kevin McGouldrick, Yukio Yamamoto & George L. Hashimoto
This dataset contains products acquired by the IR2 instrument of the Venus Climate Orbiter (VCO, also known as PLANET-C and AKATSUKI) spacecraft. This dataset conforms PDS3 Standard. This dataset uses the Committee on Data Management and Computation (CODMAC) data level numbering system. The IR2 CDRs are considered Level 3 or Composite Data (equivalent to NASA Level 1B). The CDRs are reconstructed from Level 2 or Edited Data. This dataset consists entirely of FITS files. Calibrated...

Venus Climate Orbiter Akatsuki LIR Raw Data PDS3 dataset

Shin-ya Murakami, Toru Kouyama, Tetsuya Fukuhara, Makoto Taguchi, Manabu Yamada, Atsushi Yamazaki, Kevin McGouldrick, Yukio Yamamoto & George L. Hashimoto
This dataset contains products acquired by the LIR instrument of the Venus Climate Orbiter (VCO, also known as PLANET-C and AKATSUKI) spacecraft. This dataset conforms PDS3 Standard. This dataset uses the Committee on Data Management and Computation (CODMAC) data level numbering system. The LIR EDRs are considered Level 2 or Edited Data (equivalent to NASA Level 1A). The EDRs are reconstructed from Level 1 or Raw Data. This dataset consists entirely of FITS files. Uncalibrated...

Venus Climate Orbiter Akatsuki IR1 Raw Data PDS3 dataset

Shin-ya Murakami, Manabu Yamada, Atsushi Yamazaki, Shoko Ohtsuki, Kevin McGouldrick, Yukio Yamamoto & George L. Hashimoto
This dataset contains products acquired by the IR1 instrument onboard the Venus Climate Orbiter (VCO, also known as PLANET-C and AKATSUKI) spacecraft. This dataset conforms PDS3 Standard. This dataset uses the Committee on Data Management and Computation (CODMAC) data level numbering system. The IR1 EDRs are considered Level 2 or Edited Data (equivalent to NASA Level 1A). The EDRs are reconstructed from Level 1 or Raw Data. This dataset consists entirely of FITS files. Uncalibrated...

Venus Climate Orbiter Akatsuki UVI Geometry Information PDS3 dataset

Shin-ya Murakami, Manabu Yamada, Kevin McGouldrick, Yukio Yamamoto & George L. Hashimoto
This dataset contains products of geometry information for purpose of reference, calculated by SPICE toolkit using SPICE kernels provided as VCO-V-SPICE-6-V1.0 dataset, associated with images acquired by the UVI instrument of the Venus Climate Orbiter (VCO, also known as PLANET-C and AKATSUKI) spacecraft. This dataset conforms PDS3 Standard. This dataset uses the Committee on Data Management and Computation (CODMAC) data level numbering system. The UVI SEDRs are considered Level 3 or Supplementary Experiment Data (equivalent...

Data from: Wildfire activity and land use drove 20th-century changes in forest cover in the Colorado front range

Kyle C. Rodman, Thomas T. Veblen, Sara Saraceni & Teresa B. Chapman
Recent shifts in global forest area highlight the importance of understanding the causes and consequences of forest change. To examine the influence of several potential drivers of forest cover change, we used supervised classifications of historical (1938–1940) and contemporary (2015) aerial imagery covering a 2932‐km2 study area in the northern Front Range (NFR) of Colorado and we linked observed changes in forest cover with abiotic factors, land use, and fire history. Forest cover in the...

Data from: The adaptive potential of plant populations in response to extreme climate events

Lorena Torres-Martinez, Niall McCarten & Nancy C. Emery
The frequency and magnitude of extreme climate events are increasing with global change, yet we lack predictions and empirical evidence for the ability of wild populations to persist and adapt in response to these events. Here, we used Fisher’s Fundamental Theorem of Natural Selection to evaluate the adaptive potential of Lasthenia fremontii, an herbaceous winter annual that is endemic to seasonally flooded wetlands in California, to alternative flooding regimes that occur during El Niño Southern...

Data from: Improving structured population models with more realistic representations of non-normal growth

Megan L. Peterson, William Morris, Cristina Linares & Daniel Doak
1. Structured population models are among the most widely used tools in ecology and evolution. Integral projection models (IPMs) use continuous representations of how survival, reproduction, and growth change as functions of state variables such as size, requiring fewer parameters to be estimated than projection matrix models (PPMs). Yet almost all published IPMs make an important assumption: that size-dependent growth transitions are or can be transformed to be normally distributed. In fact, many organisms exhibit...

Gene copy number is associated with phytochemistry in Cannabis sativa

Daniela Vergara
Gene copy number variation is known to be important in nearly every species where it has been examined. Alterations in gene copy number may provide a fast way of acquiring diversity, allowing rapid adaptation under strong selective pressures, and may also be a key component of standing genetic variation within species. Cannabis sativa plants produce a distinguishing set of secondary metabolites, the cannabinoids, many of which have medicinal utility. Two major cannabinoids -THCA and CBDA...

Data from: Characterization of cytoplasmic viscosity of hundreds of single tumor cells based on micropipette aspiration

Ke Wang, Xiaohao H. Sun, Yi Zhang, Teng Zhang, Yu Zheng, Yuanchen C. Wei, Peng Zhao, Deyong Y. Chen, Hengan A. Wu, Wenhui H. Wang, Rong Long, Junbo B. Wang & Jian Chen
Background: Cytoplasmic viscosity (μc) is a key biomechanical parameter for evaluating the status of cellular cytoskeletons. Previous studies focused on white blood cells, but the data of cytoplasmic viscosity for tumor cells were missing. Methodology: Tumor cells (H1299, A549 and drug-treated H1299 with compromised cytoskeletons) were aspirated continuously through a micropipette at a pressure of -10 kPa or -5 kPa where aspiration lengths as a function of time were obtained and translated to cytoplasmic viscosity...

Data from: Selection on multiple sexual signals in two Central- and Eastern-European populations of the barn swallow

Peter Laszlo Pap, Attila Fülöp, Marie Adamkova-Kotasova, Jaroslav Cepak, Romana Michalkova, Rebecca J. Safran, Alexandru N. Stermin, Oldrich Tomasek, Csongor I. Vágási, Orsolya Vincze, Matthew R. Wilkins & Tomas Albrecht
Variation in intensity and targets of sexual selection on multiple traits has been suggested to play a major role in promoting phenotypic differentiation between populations, although the divergence in selection may depend on year, local conditions or age. In this study, we quantified sexual selection for two putative sexual signals across two Central and East European barn swallow (Hirundo rustica rustica) populations from Czech Republic and Romania over multiple years. We then related these differences...

Data from: Using functional and phylogenetic diversity to infer avian community assembly along elevational gradients

Flavia A. Montaño-Centellas, Christy McCain & Bette Loiselle
Aim We present the first global analysis of elevational gradients in functional and phylogenetic diversity of birds and test for signals of deterministic processes (i.e., environmental filtering and limiting similarity) in community assembly. Further, we examine for latitudinal effects in the strength of these processes. Location Forty-six elevational gradients across the globe. Time period Current (between 1924 and 2016) Major taxa Birds. Methods We systematically selected, compiled and analyzed published data on bird diversity along...

Arctic shrub colonization lagged peak postglacial warmth: Molecular evidence in lake sediment from Arctic Canada

Sarah Crump, Gifford Miller, Matthew Power, Julio Sepúlveda, Nadia Dildar, Megan Coghlan & Michael Bunce
Arctic shrubification is an observable consequence of climate change, already resulting in ecological shifts and global-scale climate feedbacks including changes in land surface albedo and enhanced evapotranspiration. However, the rate at which shrubs can colonize previously glaciated terrain in a warming world is largely unknown. Reconstructions of past vegetation dynamics in conjunction with climate records can provide critical insights into shrubification rates and controls on plant migration, but paleoenvironmental reconstructions based on pollen may be...

Subsurface water dominates seasonal hydrologic storage

Thomas Enzminger
Vertical displacements (dz) in permanent GPS station positions enable estimation of water storage changes (DS), which historically have been impossible to measure directly. We use dz from 924 GPS stations in the western United States to estimate daily DS in California’s Sierra Nevada, and compare it to seasonal snow accumulation and melt over water years 2008-2017. Seasonal variations in GPS-based DS are ~1000 mm. Typically, only ~30% of DS is attributable to snow water equivalent...

Registration Year

  • 2019
    35

Resource Types

  • Dataset
    35

Affiliations

  • University of Colorado Boulder
    35
  • Okayama University
    13
  • Japan Aerospace Exploration Agency
    13
  • Chiba Institute of Technology
    9
  • University of Washington
    3
  • Rikkyo University
    3
  • National Institute of Advanced Industrial Science and Technology
    3
  • University of Colorado Denver
    2
  • Senshu University
    2
  • Vanderbilt University
    2