57 Works

Southern Sierra Critical Zone Observatory (SSCZO), Providence Creek meteorological data, soil moisture and temperature, snow depth and air temperature

Roger Bales, Matt Meadows, Erin Stacy, Martha Conklin, Xiande Meng & SSCZO Southern Sierra Critical Zone Observatory
Snow depth, soil moisture and soil temperature are measured at lower Providence South facing (LowMetS) and North facing (LowMetN), Upper Providence South facing (UpMetS), North facing (UpMetN) and Flat aspect (UpMetF), and Subcatchment basin P301 (P301) with a wireless sensor network, using a Campbell Scientific logger to control peripheral devices. Snow depth is measured in the open, at the drip edge and under canopies. Soil moisture and temperature are measured at 10, 30, 60 and...

A local and global sensitivity analysis of a mathematical model of coagulation and platelet deposition under flow

Kathryn Link, Michael Stobb, Jorge Di Paola, Keith Neeves, Aaron Fogelson, Suzanne Sindi & Karin Leiderman
The hemostatic response involves blood coagulation and platelet aggregation to stop blood loss from an injured blood vessel. The complexity of these processes make it difficult to intuit the overall hemostatic response without quantitative methods. Mathematical models aim to address this challenge but are often accompanied by numerous parameters choices and thus need to be analyzed for sensitivity to such choices. Here we use local and global sensitivity analyses to study a model of coagulation...

CoreShellShell, a quantum dot excitonic energy and charge density calculator

Anne Kelley
This program calculates electron and hole charge distributions for a spherical semiconductor quantum dot that may have up to three different materials in concentric shells (core-barrier-shell), each with different valence and/or conduction band potentials. It calculates the four lowest s-type (zero angular momentum) electron wavefunctions and the eight lowest s-type hole wavefunctions using the effective mass approximation particle in a sphere model. It then uses the excitons produced from these pairs of single-particle wavefunctions as...

SWIR Camera in Walnut site 120 meters

Haoyu Niu, Tiebiao Zhao & YangQuan Chen
SWIR 120 meters

RGB Camera Walnut Site 60 meters

Haoyu Niu, Tiebiao Zhao & YangQuan Chen
RGB Camera Walnut Site 60 meters

Electronic properties of oligothiophenes

Chee-Kong Lee, Chengqiang Lu, Yue Yu, Qiming Sun, Chang-Yu Hsieh, Shengyu Zhang, Qi Liu & Liang Shi
Despite the remarkable progress of machine learning (ML) techniques in chemistry, modeling the optoelectronic properties of long conjugated oligomers and polymers with ML remains challenging due to the difficulty in obtaining sufficient training data. Here we use transfer learning to address the data scarcity issue by pre-training graph neural networks using data from short oligomers. With only a few hundred training data, we are able to achieve an average error of about 0.1 eV for...

Data from: Probing the ecology and climate of the Eocene Southern Ocean with sand tiger sharks Striatolamia macrota

Sora Kim, Sarah Zeichner, Albert Colman, Howie Scher, Jürgen Kriwet & Thomas Mörs
During the Eocene, the Earth climate system transitioned from greenhouse to icehouse conditions. Central to many explanations is the Southern Ocean—where tectonic configurations influenced oceanic gateways, ocean circulation reduced heat transport, and/or greenhouse gas declines prompted glaciation. To date, few studies have explored the implications of this climate transition on high latitude, marine vertebrates. Seymour Island near the Antarctic Peninsula preserves a rich, diverse fossil assemblage in the Tertiary Eocene La Meseta (TELM) Formation (Fm)....

Root uptake under mismatched distributions of water and nutrients in the root zone

Jing Yan, Nathaniel Bogie & Teamrat Ghezzehei
Most plants derive their water and nutrient needs from soils, where the resources are often scarce, patchy, and ephemeral. It is not uncommon for plant roots to encounter mismatched patches of water-rich and nutrient-rich regions in natural environments. Such an uneven distribution of resources necessitates plants to rely on strategies to explore and acquire nutrients from relatively dry patches. We conducted a laboratory study that elucidates the biophysical mechanisms that enable this adaptation. The roots...

2009 modeled electricity prices from HiGRID for the California grid

Brian Tarroja, Joshua H. Viers, Aditya Sood & Gustavo Facincani Dourado
This dataset was developed to be used in the CenSierraPywr model, created for the project "Optimizing Hydropower Operations While Sustaining Ecosystem Functions in a Changing Climate", for the California Energy Commission. The model that includes hydroeconomic optimization for hydropower production in the Stanislaus and Upper San Joaquin River basins in the Central Sierra Nevada, California. The two basins have high elevation reservoirs that are typically operated to maximize revenue from hydropower production. Therefore, to better...

Data from: High-severity wildfire leads to multi-decadal impacts on soil biogeochemistry in mixed-conifer forests

Nicholas Dove & Stephen Hart
During the past century, systematic wildfire suppression has decreased fire frequency and increased fire severity in the western United States of America. While this has resulted in large ecological changes aboveground such as altered tree species composition and increased forest density, little is known about the long-term, belowground implications of altered, ecologically novel fire regimes, especially on soil biological processes. To better understand the long-term implications of ecologically novel, high-severity fire, we used a 44-y...

Stochastic Persistence in Nucleated Polymerization Model

Suzanne Sindi & Jason Dark
The code in this repository was created by Dr. Jason K. Dark in completing his PhD at the University of California, Merced. The stochastic model of prion persistence is detailed in Chapter 3 of his Dissertation which is available at the following link: https://escholarship.org/uc/item/8tq2w26b Questions should be emailed to: Prof Suzanne Sindi (ssindi@ucmerced.edu)

Data from: Evapotranspiration response to multiyear dry periods in the semiarid western United States

Joseph Rungee, Roger Bales, Michael Goulden, Gerald Flerchinger, Greg Barron-Gafford & Xiande Meng
Analysis of measured evapotranspiration shows that subsurface plant‐accessible water storage (PAWS) can sustain evapotranspiration through multiyear dry periods. Measurements at 25 flux tower sites in the semiarid western United States, distributed across five land cover types, show both resistance and vulnerability to multiyear dry periods. Average (±standard deviation) evapotranspiration ranged from 660 ± 230 mm yr−1 (October–September) in evergreen needleleaf forests to 310 ± 200 mm yr−1 in grasslands and shrublands. More than 52% of...

Multiplex networks reveal geographic constraints on illicit wildlife trafficking

Felber Arroyave, Alexander Petersen, Jeffrey Jenkins & Rafael Hurtado
Illicit wildlife trafficking poses a threat to the conservation of species and ecosystems, and represents a fundamental source of biodiversity loss, alongside climate change and large-scale land degradation. Despite the seriousness of this issue, little is known about various socio-cultural demand sources underlying trafficking networks, for example the forthright consumption of endangered species on different cultural contexts. Our study illustrates how wildlife trafficking represents a wicked problem at the intersection of criminal enforcement, cultural heritage...

Are geometric morphometric analyses replicable? Evaluating landmark measurement error and its impact on extant and fossil Microtus classification

Nathaniel Fox, Joseph Veneracion & Jessica Blois
Geometric morphometric analyses are frequently employed to quantify biological shape and shape variation. Despite the popularity of this technique, quantification of measurement error in geometric morphometric datasets and its impact on statistical results is seldom assessed in the literature. Here, we evaluate error on 2D landmark coordinate configurations of the lower first molar of five North American Microtus (vole) species. We acquired data from the same specimens several times to quantify error from four data...

Energy and water co-benefits from covering canals with solar panels

Brandi McKuin, Andrew Zumkehr, Jenny Ta, Roger Bales, Joshua Viers, Tappan Pathak & J. Elliott Campbell
In the manuscript entitled, "Energy and water co-benefits from covering canals with solar panels", we quantified the evaporation savings and financial performance of over-canal solar in comparison to over-ground solar on land adjacent to canals, using regional-scale hydrologic and cost simulations. We conducted regional hydrologic and techno-economic simulations of solar PV panels covering California’s 6350 km canal network. We examined the net effect on the financial performance of three different solar PV structures at eight...

European high-skilled mobility data and Scientific publication & collaboration data

Alexander Petersen
Raw data files corresponding to longitudinal country-level observations for two types of variable: (i) publication, citation, and international collaboration data from SCImago Journal & Country Rank (www.scimagojr.com/) and (ii) high-skilled mobility data, corresponding to headcounts by source and destination country, from the “Professionals moving abroad (Establishment)” data hosted by the European Union's "The EU Single Market Regulated professionals database".

Southern Sierra Critical Zone Observatory (SSCZO), Wolverton Creek meteorological data, soil moisture and temperature

Roger Bales, Erin Stacy, Matt Meadows, Peter Kirchner, Martha Conklin & Xiande Meng
Wolverton basin in Sequoia National Park is instrumented with four instrument clusters (site 1 through site 4) and two meteorological stations (Panther met and Wolverton met). Soil moisture and temperature, snow depth, solar radiation and meteorological data (air temperature, relative humidity, wind speed, wind direction and precipitation) are measured across the network. Snow depth is measured in the open, at the drip edge and under tree canopies. Soil moisture and temperature are measured at 10,...

Climate, snow, and soil moisture data set for the Tuolumne and Merced River watersheds, California, USA

James Roche, Robert Rice, Xiande Meng, Daniel Cayan, Mike Dettinger, Douglas Alden, Sarina Patel, Megan Mason, Martha Conklin & Roger Bales
UCM sites. Snow depth, soil moisture and soil temperature are measured near the Merced Grove, Gin Flat, Smoky Jack Creek, and Olmsted Quarry with a distributed array of 6-7 sensor nodes at each location. Snow depth is measured in the open, at the drip edge and under canopies, as well as 3-4 other sites representative of an area of 1-2 hectares. Soil moisture and temperature are measured at 10, 30, 60 and 90 cm depths...

Evapotranspiration data from eddy-covariance flux-tower measurements and Landsat imagery in California’s Sierra Nevada from 1985 to 2019

Qin Ma, Roger Bales, Joseph Rungee, Martha Conklin, Xiande Meng & Michael Goulden
The gridded annual evapotranspiration (ET) from 1985 to 2019 were calculated based on the correlations between eddy-covariance flux-tower measurements of annual evapotranspiration and satellite imagery derived Normalized Difference Vegetation Index (NDVI). Annual ET observations from 12 flux-towers across the Sierra Nevada and Southern California were collected from 2001 to 2016, resulting 97 site-years of ET observations in five main vegetation types (Evergreen Needleleaf Forest, Grasslands, Mixed Forest, Open Shrublands, and Woody Savannas). The NDVI was...

Merced Vernal Pools and Grassland Reserve sUAS-LiDAR High Resolution 0.25-meter DEM

Michael Kalua, Joshua Viers & Andreas Anderson
The Merced Vernal Pools and Grassland Reserve is 6,500 acres of protected habitat adjacent to the University of California Merced containing rare and endangered species and a unique seasonal wetland habitat. These data were gathered to be used for hydrological modelling on the Reserve for potential restoration projects and to be made public for other researchers who may find very high resolution topographical information useful for their work. This dataset contains a Digital Elevation Model...

Data from: Decoding the dynamics of dental distributions: insights from shark demography and dispersal

Sora Kim, Justin Yeakel, Juergen Kriwet, Meghan Balk, Jaelyn Eberle, Sarah Zeichner & Dina Fieman
Shark teeth are the most abundant vertebrate fossil, and because tooth size generally correlates with body size, their accumulations document the size structure of populations. Understanding how ecological and environmental processes influence size structure, and how this extends to influence these dental distributions, may offer a window into the ecological and environmental dynamics of past and present shark populations. Here we examine the dental distributions of sand tigers, including extant Carcharias taurus and extinct Striatolamia...

Pronghorn (Antilocapra americana) enamel phosphate δ18O values reflect climate seasonality: implications for paleoclimate reconstruction

Danielle Fraser, Mark Clementz, Jeffrey Welker & Sora Kim
Stable oxygen isotope compositions from vertebrate tooth enamel are commonly used as biogeochemical proxies for paleoclimate reconstructions. However, the utility of enamel isotopic values across species varies due to differences in rates of enamel deposition and mineralization as well as sources of ingested water, body water residence times, and species’ physiology. We evaluate the use of stable oxygen isotope compositions from pronghorn (Antilocapra americana Gray, 1866) enamel for the amplitude reconstruction of terrestrial paleoclimate seasonality....

Comparative molecular analysis of cancer behavior cultured in vitro, in vivo, and ex vivo

Nicholas R. Hum, Aimy Sebastian, Sean F. Gilmore, Wei He, Kelly A. Martin, Aubree Hinckley, Karen R. Dubbin, Monica L. Moya, Elizabeth K. Wheeler, Matthew A. Coleman & Gabriela G. Loots
Current pre-clinical models of cancer fail to recapitulate the cancer cell behavior in primary tumors primarily because of the lack of a deeper understanding of the effects that the microenvironment has on cancer cell phenotype. Transcriptomic profiling of 4T1 murine mammary carcinoma cells from 2D and 3D cultures, subcutaneous or orthotopic allografts (from immunocompetent or immunodeficient mice), as well as ex vivo tumoroids, revealed differences in molecular signatures including altered expression of genes involved in...

Supplemental material for Climate forcing by battered-and-breaded fillets and crab-flavored sticks from Alaska pollock

Brandi McKuin, Jordan Watson, Alan Haynie & J. Elliott Campbell
Detailed supplemental datasets: inputs and output information and emission factors for ingredients, non-ingredient materials, and embodied energy of pollock products.

Soil microbial communities associated with giant sequoia: How does the world's largest tree affect some of the world's smallest organisms?

Stephen Hart, Chelsea J. Carey, Sydney I. Glassman, Thomas D. Bruns & Emma L. Aronson
Giant sequoia (Sequoiadendron giganteum) is an iconic conifer that lives in relic populations on the western slopes of the California Sierra Nevada. In these settings, it is unusual among the dominant trees in that it associates with arbuscular mycorrhizal fungi rather than ectomycorrhizal fungi. However, it is unclear whether differences in microbial associations extends more broadly to non-mycorrhizal components of the soil microbial community. To address this question, we characterized microbiomes associated with giant sequoia...

Registration Year

  • 2022
  • 2021
  • 2020
  • 2019
  • 2018
  • 2017
  • 2016

Resource Types

  • Dataset
  • Collection


  • University of California, Merced
  • University of California, Santa Cruz
  • University of California, Irvine
  • Colorado School of Mines
  • University of California, Davis
  • University of California, Berkeley
  • University of Colorado Boulder
  • University of Arizona
  • University of Vienna
  • University of Utah