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  • Centimeter-Scale Electron Diffusion in Photoactive Organic Heterostructures

    Work
    Creator: Che, Xiaozhou, Burlingame, Quinn, Qu, Yue, Panda, Anurag, Coburn, Caleb, and Forrest, Stephen R.
    Description: Mathematica Diffusion Simulation: Programmed by Coburn, Caleb. Simulation of diffusion in organic heterostructures, including least square fits and statistical goodness of fit analysis. Used to calculate fits to transient data in Fig 1, 3 and Extended Data Fig.2. Example data file included for download Matlab Montecarlo simulation: Programmed by Coburn, Caleb. Montecarlo simulation of charge diffusion on a cubic lattice to determine lateral diffusion length as a function of barrier height, assuming thermionic emission over the barrier. Matlab 2D Diffusion Simulation:Programmed by Coburn, Caleb. Modified from BYU Physics 430 Course Manual. Simulates diffusion around a film discontinuity, such a cut. Used to generate fits to Extended Data Fig. 1
  • Crop rotations for increased soil carbon: perenniality as a guiding principle

    Work
    Creator: Blesh, Jennifer and King, Alison E.
    Description: This dataset contains three data files used in: King, A.E. and J. Blesh, 2017. Crop rotations for increased soil carbon: perenniality as a guiding principle. Ecological Applications. There are also three corresponding metadata files. The file “CRMA 2017 Main.csv” contains data for the control and treatment rotations used to construct pairwise comparisons for meta-analysis, response ratios calculated for soil organic carbon concentration, and change in carbon input. The dataset also includes management, soil, and other environmental characteristics for each site. The file “CRMA 2017 Diversity x Nitrogen.csv” contains data used to test whether N fertilizer inputs mediated the effect of functional diversity on SOC concentrations. The file “CRMA Annual grain.csv” contains data used to test for effects of crop rotation species diversity (one vs. two species, or two vs. three species) on SOC concentrations and C input (i.e., for the “grain-only” rotations). The dataset also includes management, soil, and other environmental characteristics for each site. The corresponding metadata files: “CRMA 2017 Main_metadata.csv”, “CRMA 2017 Diversity x Nitrogen_metadata.csv”, and “CRMA Annual grain _metadata.csv” provide a detailed description of all variables in each dataset.
  • WRF-Chem Central US - Hygroscopicity tests

    Work
    Creator: Kawecki, Stacey and Steiner, Allison
    Description: WRF-Chem model
  • Large-eddy simulation (LES) model simulations

    Work
    Creator: Li, Yang and Steiner, Allison
    Description: Case 2 of Li et al. (2016) LES simulations for the DISCOVER-AQ 11 campaign, including three different grid resolutions (96, 197 and 320 grid cell resolutions), plus simulations at the 192 grid resolution with and without aqueous chemistry
  • Large-eddy simulation of BVOC during the 2011 DISCOVER-AQ

    Work
    Creator: Li, Yang and Steiner, Allison
    Description: Case 1: A fair weather condition; Case 2: A convective event; Case 3: A polluted event with high temperature and convection
  • Understanding Ecosystem Services Adoption by Natural Resource Managers and Research Ecologists: Survey Data

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    Creator: Evans, Mary Anne, Low, Bobbi S, Engel, Daniel D, and Schaeffer, Jeff
    Description: This dataset was compiled as an attempt to understand how natural resource managers and research ecologists in the Great Lakes region integrate the ecosystem services (ES) paradigm into their work. The following text is the adapted abstract from a thesis associated with this data. Ecosystem services, or the benefits people obtain from ecosystems, have gained much momentum in natural resource management in recent decades as a relatively comprehensive approach to provide quantitative tools for improving decision-making and policy design. However, to date we know little about whether and how natural resource practitioners, from natural resource managers to research ecologists (hereafter managers and ecologist respectively), have adopted the ES paradigm into their respective work. Here, we addressed this knowledge gap by asking managers and ecologists about whether and how they have adopted the ES paradigm into their respective work. First, we surveyed federal, state, provincial and tribal managers in the Great Lakes region about their perception and use of ES as well as the relevance of specific services to their work. Although results indicate that fewer than 31% of the managers said they currently consider economic values of ES, 79% of managers said they would use economic information on ES if they had access to it. Additionally, managers reported that ES-related information was generally inadequate for their resource management needs. We also assessed managers by dividing them into identifiable groups (e.g. managers working in different types of government agencies or administrative levels) to evaluate differential ES integration. Overall, results suggest a desire among managers to transition from considering ES concepts in their management practices to quantifying economic metrics, indicating a need for practical and accessible valuation techniques. Due to a sample of opportunity at the USGS Great Lakes Science Center (GLSC), we also evaluated GLSC research ecologists’ integration of the ES paradigm because they play an important role by contributing requisite ecological knowledge for ES models. Managers and ecologists almost unanimously agreed that it was appropriate to consider ES in resource management and also showed convergence on the high priority ES. However, ecologists appeared to overestimate the adequacy of ES-related information they provide as managers reported the information was inadequate for their needs. This divergence may reflect an underrepresentation of ecological economists in this system who can aid in translating ecological models into estimates of human well-being. As a note, both CSV files in this dataset have two tabs: 1) the raw data, and 2) an index describing each column. The dataset for the research ecologists has had some data removed as it could be considered personally identifiable information due to the small sample size in that population. The surveys associated with both datasets have also been included in PDF format.
  • Regional Climate Model simulations

    Work
    Creator: Bryan, Alex and Steiner, Allison
    Description: Included are RegCM simulations driven by three different types of boundary conditions 1. ERA - present day only (1979-2005) 2. GFDL - present day (1978-2005) and future (2041-2065) 3. HadGEM - present day (1978-2005) and future (2041-2065) Each directory has three files with monthly averaged values: ATM: includes 4D (t,z,y,x) atmospheric fields (pressure, winds, temperature, specific humidity, cloud water) and some 3D fields (t,y,x) precipitation, soil temperature, soil water SRF: includes 3D (t,y,x) surface variables (surface pressure, 10m winds, drag coefficient, surface temperature, 2m air temperature, soil moisture, precipitation, runoff, snow, sensible heat flux, latent heat flux, surface radiation components (SW, LW), PBL height, albedo, sunshine duration) RAD: includes 4D radiative transfer variables (SW and LW heating, TOA fluxes, cloud fraction, ice water content) clm_h0 files: CLM land surface files, includes canopy variables, surface fluxes, soil moisture by layers, etc. "
  • Data from: Functional traits in cover crop mixtures: biological nitrogen fixation and multifunctionality

    Work
    Creator: Blesh, Jennifer
    Description: This dataset contains three data files used in: Blesh, J. 2017. Functional traits in cover crop mixtures: biological nitrogen fixation and multifunctionality. Journal of Applied Ecology. There are also three corresponding metadata files. The file “Ecosystem_functions_soil_species.xls” contains data organized by farm, treatment, replicate block, and species combining the fall and spring sampling time points. These data include aboveground biomass, nitrogen and carbon content, and biological nitrogen fixation for the plant species. The dataset also includes measured soil characteristics for each farm site. The file “Ecosystem_functions_soil_treatment.xls” contains data organized by farm, treatment, and replicate block for the fall and spring sampling time points combined. These data include aboveground biomass, nitrogen and carbon content, and biological nitrogen fixation aggregated by treatment. The dataset also includes measured soil characteristics for each farm site. The file “Traits_unstandardized.xls” contains individual plant trait data, a subset of which were used to calculate an index of functional diversity after they were standardized to have zero mean and unit variance. These data are organized by farm, treatment, replicate block, and species. The corresponding metadata files: “Ecosystem_functions_soil_species_metadata.xls”, “Ecosystem_functions_soil_treatment_metadata.xls”, and “Traits_unstandardized_metadata.xls” provide a detailed description of all variables in each dataset and any abbreviations used.
  • JGR-Space-2012-Data

    Work
    Creator: Moldwin, Mark B
    Description: Tab delimited file containing the records of all papers published in JGR-Space Physics in 2012. The records were pulled from Thomsen-Reuters ISI-Web-of-Science on June 3, 2016 including citations. Gender was identified independently by the creator of the file.
  • Gelada foraging ecology in the Simien Mountains, Ethiopia

    Work
    Creator: Jarvey, Julie C
    Description: This includes data used for analysis for the publication: "Graminivory and fallback foods: Annual diet profile of geladas (Theropithecus gelada) living in the Simien Mountains National Park, Ethiopia".