Search Constraints
« Previous |
1 - 20 of 141
|
Next »
Number of results to display per page
View results as:
Search Results
-
- Creator:
- Steiner, Allison and Li, Yang
- Description:
- Case 1: A fair weather condition; Case 2: A convective event; Case 3: A polluted event with high temperature and convection
- Keyword:
- LES, boundary layer, turbulence, and BVOC Chemistry
- Citation to related publication:
- Li, Y., M. C. Barth, G. Chen, E. G. Patton, S.-W. Kim, A. Wisthaler, T. Mikoviny, A. Fried, R. Clark, and A. L. Steiner (2016), Large-eddy simulation of biogenic VOC chemistry during the DISCOVER-AQ 2011 campaign, J. Geophys. Res. Atmos., 121, 8083–8105. https://doi.org/10.1002/2016JD024942
- Discipline:
- Science
- Title:
- Large-eddy simulation of BVOC during the 2011 DISCOVER-AQ
-
- Creator:
- Steiner, Allison and Bryan, Alex
- 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. "
- Keyword:
- climate
- Citation to related publication:
- Bryan, A. M., A. L. Steiner, and D. J. Posselt (2015), Regional modeling of surface-atmosphere interactions and their impact on Great Lakes hydroclimate, J. Geophys. Res. Atmos., 120, 1044–1064. https://doi.org/10.1002/2014JD022316
- Discipline:
- Science
- Title:
- Regional Climate Model simulations
-
- Creator:
- Do, Hong X., Smith, Joeseph P., Fry, Lauren M., and Gronewold, Andrew D.
- Description:
- This data set contains a new estimate of monthly water balance components from 1950 to 2019 for the Laurentian Great Lakes, the largest freshwater system on Earth. The source code and inputs to derive the new estimates are also included in this dataset.
- Keyword:
- Great Lakes water levels, statistical inference, water balance, and data assimilation
- Citation to related publication:
- Do, H.X., Smith, J., Fry, L.M., and Gronewold, A.D., Seventy-year long record of monthly water balance estimates for Earth’s largest lake system (pending for submission)
- Discipline:
- Science
- Title:
- Monthly water balance estimates for the Laurentian Great Lakes from 1950 to 2019
-
- Creator:
- Stoev, Stilian and Hu, Weifeng
- Description:
- Many data sets come as point patterns of the form (longitude, latitude, time, magnitude). The examples of data sets in this format includes tornado events, origins/destination of internet flows, earthquakes, terrorist attacks and etc. It is difficult to visualize the data with simple plotting. This research project studies and implements non-parametric kernel smoothing in Python as a way of visualizing the intensity of point patterns in space and time. A two-dimensional grid M with size mx, my is used to store the calculation result for the kernel smoothing of each grid points. The heat-map in Python then uses the grid to plot the resulting images on a map where the resolution is determined by mx and my. The resulting images also depend on a spatial and a temporal smoothing parameters, which control the resolution (smoothness) of the figure. The Python code is applied to visualize over 56,000 tornado landings in the continental U.S. from the period 1950 - 2014. The magnitudes of the tornado are based on Fujita scale.
- Citation to related publication:
- Hu, Weifeng. “Kernel-based Visualization of Point Patterns in Python with Application to Tornado Landing Data.” (2016). At https://www.semanticscholar.org/paper/Kernel-based-Visualization-of-Point-Patterns-in-to-Hu/0de06a6db39da54fe28f8d0cb47c0d3270f2f831
- Discipline:
- Science and Engineering
- Title:
- Statistics and Visualization of Point-Patterns
-
- Creator:
- Zurbuchen, Thomas H.
- Description:
- Audification Routines in MATLAB and IDL
- Citation to related publication:
- Alexander, Robert L., Sile O’Modhrain, D. Aaron Roberts, Jason A. Gilbert, and Thomas H. Zurbuchen. “The Bird’s Ear View of Space Physics: Audification as a Tool for the Spectral Analysis of Time Series Data.” Journal of Geophysical Research: Space Physics 119, no. 7 (2014): 5259–71. https://doi.org/10.1002/2014JA020025
- Discipline:
- Science
- Title:
- The Bird's Ear View of Space Physics: Audification as a Tool for the Spectral Analysis of Time Series Data
-
- Creator:
- Dr. Francis C. Evans
- Description:
- The Evans Old Field Plant Database contains FileMaker and Excel files of data collected by Dr. Francis C. Evans during a 50-year study on successional change on Evans Old Field on the Edwin S. George Reserve. Data include plant phenology, location, and abundances observed from 1948 to 1997.
- Discipline:
- Science
- Title:
- Evans Old Field Plant Database, 1948-1997
-
- Creator:
- Liemohn, Michael W, Azari, Abigail R, Ganushkina, Natalia Yu, and Rastätter, Lutz
- Description:
- Scientists often try to reproduce observations with a model, helping them explain the observations by adjusting known and controllable features within the model. They then use a large variety of metrics for assessing the ability of a model to reproduce the observations. One such metric is called the relative operating characteristic (ROC) curve, a tool that assesses a model’s ability to predict events within the data. The ROC curve is made by sliding the event-definition threshold in the model output, calculating certain metrics and making a graph of the results. Here, a new model assessment tool is introduced, called the sliding threshold of observation for numeric evaluation (STONE) curve. The STONE curve is created by sliding the event definition threshold not only for the model output but also simultaneously for the data values. This is applicable when the model output is trying to reproduce the exact values of a particular data set. While the ROC curve is still a highly valuable tool for optimizing the prediction of known and pre-classified events, it is argued here that the STONE curve is better for assessing model prediction of a continuous-valued data set. and Data and code were created using IDL, but can also be accessed with the open-source Gnu Data Language (GDL; see https://github.com/gnudatalanguage/gdl)
- Keyword:
- ROC curve, STONE curve, data-model comparison, model validation, forecasting, and statistical methods
- Citation to related publication:
- Liemohn, M. W., Azari, A. R., Ganushkina, N. Yu., & Rastätter, L. (2020). The STONE curve: A ROC-derived model performance assessment tool. Earth and Space Science, 7, e2020EA001106. https://doi.org/10.2019/2020EA001106
- Discipline:
- Science
- Title:
- Data for the STONE curve: A ROC-derived model performance assessment tool
-
- Creator:
- Liemohn, Michael W
- Description:
- The editorial decision process for the Journal of Geophysics Research Space Physics is assisted by over 1,000 scientists every year, providing over 3,000 reviews per year. These statistics are presented for the years 2013 through 2018, showing some fluctuations but, overall, consistency in the response of the space physics research community to requests to serve as manuscript reviewers. Over half of these reviews are submitted on time, and the average time to review actually dropped as the load increased. This is greatly appreciated and the community is to be commended and thanked for their willingness to help make this journal thrive and remain a premiere publication in the field.
- Keyword:
- Editorial and reviewer statistics
- Citation to related publication:
- Liemohn, M. W. (2020). Editorial: Multiyear analysis of JGR Space Physics reviewing statistics. Journal of Geophysical Research Space Physics, 125, e2019JA027719. https://doi.org/10.1029/2019JA027719
- Discipline:
- Science
- Title:
- Data for Editorial on multiyear reviewer statistics from JGR Space Physics
-
- Creator:
- Carson, William F., IV
- Description:
- Transcriptional accessibility of chromatin is central to guiding CD4+ T cell function through regulation of lineage specific gene expression. Myst1 is a histone acetyltransferase responsible for acetylation of the protein tail of histone 4 at lysine residue 16 (H416ac), resulting in increased transcriptional accessibility and activation of gene transcription. Previous studies have described a role for Myst1 in governing lymphocyte development in the thymus, however the role of Myst1 and H4K16ac in guiding activation of peripheral CD4+ T cells has not been studied. Activation of human and murine CD4+ T cells resulted in upregulation of Myst1 expression, and deletion of Myst1 resulted in changes in proliferative responses to both polyclonal stimulus and exogenous cytokines. Myst1-deficient T cells also exhibited modulations in lineage commitment, with decreased function in TH1/TH2 skewing conditions and increased function in response to TH17-promoting conditions. Regulation of Myst1 function in CD4+ T cells appears governed at least in part by STAT5, as Myst1 expression is regulated by STAT5 expression and DNA binding, and modulations in H4K16ac in Myst1-deficient CD4+ T cells is observable at sites in the promoter regions of lineage specific genes following skewing to the TH1 or TH2 lineage in vitro. Taken together, these results indicate an important role for the STAT5-Myst1 epigenetic axis in governing the activation and effector function of CD4+ T cells.
- Discipline:
- Science
- Title:
- Data files for manuscript: "Regulation of STAT5-directed CD4+ T cell lineage commitment by the histone acetyltransferase Myst1"
-
- Creator:
- Carson IV, William F.
- Description:
- Raw data and analysis files for the figures corresponding to the manuscript submission entitled "CCL2 enhances macrophage inflammatory responses via miR-9 mediated downregulation of the ERK1/2 phosphatase Dusp6"
- Discipline:
- Science
- Title:
- Raw Data - CCL2 enhances macrophage inflammatory responses via miR-9 mediated downregulation of the ERK1/2 phosphatase Dusp6
-
- Creator:
- Thomaz, Andréa T. (UMICH), Carvalho, Tiago P. (UFRGS), Malabarba, Luiz R. (UFRGS), and Knowles, L. Lacey (UMICH)
- Description:
- Estimated phylogenetic relationships based on more than 18,000 loci in 93 individuals (full data) or 21 individuals (subset data) representing 19 described species and two putative undescribed species. Nine files are part of this dataset, including all input files to infer the phylogenetic reconstructions and the outputs obtained, in addition to a pruned tree used to infer the ancestral state reconstructions.
- Keyword:
- dusky millions poeciliids, sexual selection, South America, and ddRADseq
- Citation to related publication:
- Andréa T. Thomaz, Tiago P. Carvalho, Luiz R. Malabarba, L. Lacey Knowles, Geographic distributions, phenotypes, and phylogenetic relationships of Phalloceros (Cyprinodontiformes: Poeciliidae): insights about diversification among sympatric species pools, Molecular Phylogenetics and Evolution, 2018, ISSN 1055-7903, https://doi.org/10.1016/j.ympev.2018.12.008
- Discipline:
- Science
- Title:
- Geographic distributions, phenotypes, and phylogenetic relationships of Phalloceros (Cyprinodontiformes: Poeciliidae): insights about diversification among sympatric species pools [DATA SET]
-
- Creator:
- Singh, Deepak
- Description:
- This includes data for all the plots and maps I created for my paper publication entitled "Improvement of Mars surface snow albedo modeling in LMD Mars GCM with SNICAR".
- Discipline:
- Science
- Title:
- Improvement of Mars surface snow albedo modeling in LMD Mars GCM with SNICAR
-
- Creator:
- Mathews, Elizabeth and Verhoff, Frank
- Description:
- Each pdf is an electronic version of the paper output for each experiment. Each text file is the electronic version of the data on the computer cards for each experiment. These text files are directly readable by Excel. Once in Excel, the data can be manipulated as desired. Additional information is in the theses.
- Keyword:
- Two Liquid Phase Processes, Droplet Size and Concentration, Population Balances, and Dispersed Phase Mixing
- Citation to related publication:
- Ross, S. L. (1971). Measurements and models of the dispersed phase mixing process (Doctoral dissertation). Retrieved from http://hdl.handle.net/2027.42/136886 and Verhoff, F. H. (1969). A study of the bivariate analysis of dispersed phase mixing (Doctoral dissertation). Retrieved from http://hdl.handle.net/2027.42/137651
- Discipline:
- Science and Engineering
- Title:
- Computer Data from Ross Thesis
-
- Creator:
- Hayward, Stephen L. , Lund, Paul E., Kang, Qing, Johnson-Buck, Alexander , Tewari, Muneesh, and Walter, Nils G.
- Description:
- This work contains the experimental data and associated analysis that are described in the research publication entitled "Ultra-specific and Amplification-free Quantification of Mutant DNA by Single-molecule Kinetic Fingerprinting". This work contains multiple zip files, each of which represents one of the principal experiment groups presented in the publication. Each experiment group contains movie and analysis files corresponding to various experimental conditions related to that experiment group.
- Keyword:
- Single Molecule Fluorescence, Super-Resolution Microscopy, Nucleic Acid Hybridization, T790M Mutation, Cytosine Deamination, SiMREPS, and single molecule kinetic fingerprinting
- Citation to related publication:
- https://pubs.acs.org/doi/10.1021/jacs.8b06685
- Discipline:
- Science
- Title:
- Single-molecule microscopy image data and analysis files for "Ultra-specific and Amplification-free Quantification of Mutant DNA by Single-molecule Kinetic Fingerprinting"
-
- Creator:
- Ridley, Aaron
- Description:
- These files (2010_gitm_input_files.tgz) were used to run GITM for 2010 for each month. GITM paper is here: (10.1016/j.jastp.2006.01.008 < http://dx.doi.org/10.1016/j.jastp.2006.01.008>) GITM code is in file gitm_170809.tgz
- Citation to related publication:
- Perlongo, N. J., Ridley, A. J., Cnossen, I., & Wu, C. (2018). A year-long comparison of GPS TEC and global ionosphere-thermosphere models. Journal of Geophysical Research: Space Physics , 123 , 1410–1428. https://doi.org/10.1002/2017JA024411
- Discipline:
- Science
- Title:
- Input files for the Global Ionosphere Thermosphere Model for 2010
-
- Creator:
- Title, Pascal O. and Bemmels, Jordan B.
- Description:
- The ENVIREM dataset v1.0 is a set of 16 climatic and 2 topographic variables that can be used in modeling species' distributions. The strengths of this dataset include their close ties to ecological processes, and their availability at a global scale, at several spatial resolutions, and for several time periods. The underlying temperature and precipitation data that went into their construction comes from the WorldClim dataset ( www.worldclim.org), and the solar radiation data comes from the Consortium for Spatial Information ( www.cgiar-csi.org). The data are compatible with and expand the set of variables from WorldClim v1.4 ( www.worldclim.org). For more information, please visit the project website: envirem.github.io
- Keyword:
- raster, species distribution modeling, and bioclimatic
- Citation to related publication:
- Title, P. O. and Bemmels, J. B. (2018), ENVIREM: an expanded set of bioclimatic and topographic variables increases flexibility and improves performance of ecological niche modeling. Ecography, 41: 291-307. http://doi.org/10.1111/ecog.02880
- Discipline:
- Science
- Title:
- ENVIREM: ENVIronmental Rasters for Ecological Modeling version 1.0
-
- Creator:
- Alsip, Peter
- Description:
- Percent Weight Change Data: The model was run continuously on a daily time step for seasonal intervals (Spring: March thru May; Summer: June thru August; Fall: September thru November) as well as contiguously from Spring to Fall to assess total growth over the likely growing season (March thru November). CSV files represent the simulated weight change (%) of Bighead and Silver Carp for the respective time periods associated with the file name. Initial fish mass for each seasonal interval and growing season was 4350 g for Silver Carp and 5480 g for Bighead Carp. Maximum and mean total weight change (%) was determined for three depth ranges (near surface depths [NS]: 0 – 10 m; deep chlorophyll layer depths [DCL]: 10 - 50 m; and whole water column [WC]). Coordinates are in decimal degrees. File naming convention: speciesSeasonWtChange (e.g. bigheadFallWtChange = % weight change of Bighead Carp from September through November) , Monthly Habitat Quality Data: Rdata files contain matrices of Bighead or Silver carp growth rate potential as represented as a mass-proportional growth rate (gram of carp/gram of carp/day [g/g/d]) for the 15th day of each month. Habitats with growth rate potential >= 0 g/g/d were deemed suitable. Matrix attributes: Rows: Row numbers refer to the spatial node with 20 equally-spaced vertical layers. Columns: Columns 1-20 refer to the growth rate potential value for each vertical layer of each node. Vertical layers are evenly spaced based on the total depth of the water column for each node. Depth for each node can be found in the grid attributes data file. Columns 21 ("meanG") and 22 ("Gmax") represent the average and maximum growth rate potential, respectively, of the fish across the whole water column for the corresponding node. File naming convention: species_MonthNumber (e.g. silver_06 = Silver carp growth rate potential in June) Spatial coordinates for each node can be found in the grid attributes data files., Grid attributes data: This Rdata file provides the spatial reference data and other grid attributes. Coordinates are provided in UTM (x & y) and latitude and longitude (decimal degrees). Depth (meters) for each node is listed in this file. , GRP Model code: Details bioenergetics equations, foraging equation, functions for running the model on a monthly time-step and daily time step, and functions for basic analyses. Model is coded in R., and The simulated input data (prey and temperature) used to run our model is not included in this data set. Instead we provide the model code, grid attributes, and outputs of the model. The readRDS() function (R Base Package v.3.5.1) is required to read in .Rdata files in R.
- Keyword:
- Asian Carp, Laurentian Great Lakes, Habitat Suitability, Invasive Species, Lake Michigan, and Ecological Modeling
- Citation to related publication:
- Alsip, P.J. (2018). Modeling Lake Michigan’s Suitability for Bigheaded Carps: The Importance of Diet Flexibility and Subsurface Habitat. (Master's thesis). Retrieved from https://deepblue.lib.umich.edu/handle/2027.42/145424
- Discipline:
- Science
- Title:
- Spatially-explicit model code and outputs of Bighead and Silver carp growth rate potential in Lake Michigan
-
- Creator:
- Ward, Jamie L ., Flanner, Mark G., Bergin, Mike, Dibb, Jack E., Polashenski, Chris M., Soja, Amber J., and Thomas, Jennie L.
- Description:
- Biomass burning produces smoke aerosols that are emitted into the atmosphere. Some smoke constituents, notably black carbon (BC), are highly effective light-absorbing aerosols (LAA). Emitted LAA can be transported to high albedo regions like the Greenland Ice Sheet (GrIS) and affect local snowmelt. In the summer, the effects of LAA in Greenland are uncertain. To explore how LAA affect GrIS snowmelt and surface energy flux in the summer, we conduct idealized global climate model simulations with perturbed aerosol amounts and properties in the GrIS snow and overlying atmosphere. The in-snow and atmospheric aerosol burdens we select range from background values measured on the GrIS to unrealistically high values. This helps us explore the linearity of snowmelt response and to achieve high signal-to-noise ratios. With LAA operating only in the atmosphere, we find no significant change in snowmelt due to the competing effects of surface dimming and tropospheric warming. Regardless of atmospheric LAA presence, in-snow BC-equivalent mixing ratios greater than ~60 ng/g produce statistically significant snowmelt increases over much of the GrIS. We find that net surface energy flux changes correspond well to snowmelt changes for all cases. The dominant component of surface energy flux change is solar energy flux, but sensible and longwave energy fluxes respond to temperature changes. Atmospheric LAA dampen the magnitude of solar radiation absorbed by in-snow LAA when both varieties are simulated. In general, the significant melt and surface energy flux changes we simulate occur with LAA quantities that have never been recorded in Greenland.
- Keyword:
- climate, Greenland Ice Sheet, black carbon, biomass burning, snowmelt, and surface energy balance
- Citation to related publication:
- Ward, J.L., et al. (2018). Modeled Response of Greenland Snowmelt to the Presence of Biomass Burning-Based Absorbing Aerosols in the Atmosphere and Snow. Journal of Geophysical Research: Atmospheres.
- Discipline:
- Science
- Title:
- Data in support of the study "Modeled Response of Greenland Snowmelt to the Presence of Biomass Burning-Based Absorbing Aerosols in the Atmosphere and Snow"
-
- Creator:
- Ozturk, Dogacan S
- Description:
- The modeling research conducted to produce this dataset focuses on the solar wind dynamic pressure drop events and how they affect the Earth's intrinsically coupled Magnetosphere, Ionosphere and Thermosphere systems. This study specifically focuses on the 11 June 2017 event, where the solar wind dynamic pressure dropped significantly following a period of higher pressure. We model the response to this pressure drop using University of Michigan Space Weather Modeling Framework ( http://csem.engin.umich.edu/tools/swmf/). The simulation results were created using BATS-R-US and GITM models. The observational data required for model comparisons were taken from OMNI ( https://omniweb.gsfc.nasa.gov) and CDAWeb ( https://cdaweb.gsfc.nasa.gov/sp_phys/) Databases.
- Keyword:
- GITM, BATS-R-US, Solar wind dynamic pressure, Magnetosphere-Ionosphere-Thermosphere, and MHD
- Discipline:
- Science
- Title:
- Dataset for the "Response of the Geospace System to the Solar Wind Dynamic Pressure Decrease on 11 June 2017: Numerical Models and Observations"
-
- Creator:
- University of Michigan Museum of Zoology
- Description:
- Scan of specimen ummz:mammals:123037 (Tscherskia TRITON) - WholeBody. Raw Dataset includes 1601 TIF images (each 715 x 1288 x 1 voxel at 0.0493711582967448 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:mammals:123037 (Tscherskia TRITON) - WholeBody. Reconstructed Dataset includes 2000 TIF images (each 715 x 1288 x 1 voxel at 0.049371 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction.
- Keyword:
- Animalia, Chordata, Mammalia, Rodentia, Cricetidae, Tscherskia TRITON, 1987305166, computed tomography, X-ray, and 3D
- Citation to related publication:
- For more information on the original UMMZ specimen, see: https://www.gbif.org/occurrence/1987305166
- Discipline:
- Science
- Title:
- Computed tomography voxel dataset for ummz:mammals:123037-Tscherskia TRITON-WholeBody