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- Creator:
- Wang, Yi and Hendy, Ingrid L.
- Description:
- The dataset contains bulk sedimentary d15N, TOC, and TN data measured every 2 mm on the core SPR0901-03KC. Flood and turbidite layers are shaded with blue and orange in the files. and This work is supported by NSF OCE-1304327.
- Keyword:
- d15N, total organic carbon, nitrogen isotopes, SPR0901-03KC, and Santa Barbara Basin
- Citation to related publication:
- Wang, Y. , Hendy, I. L. and Thunell, R. (2019), Local and remote forcing of denitrification in the Northeast Pacific for the last 2000 years. Paleoceanography and Paleoclimatology. Accepted Author Manuscript. doi:10.1029/2019PA003577
- Discipline:
- Science
- Title:
- Bulk sedimentary δ15N, total organic carbon (TOC), and total nitrogen (TN) for SPR0901-03KC
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- Creator:
- Jialei Zhu and Joyce E. Penner
- Description:
- The dataset contains the Fortran programs applied in the latest CESM/IMPACT model as well as the data created from this model, which are used in the referenced paper.
- Keyword:
- Second organic aerosol, Radiative effect, and Cirrus cloud
- Citation to related publication:
- Zhu, J and Penner, J. E.: Indirect effects of secondary organic aerosol on cirrus clouds, (2019), submitted to Geophysical Research Letter.
- Discipline:
- Science
- Title:
- Indirect effects of secondary organic aerosol on cirrus clouds
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- Creator:
- Chen, Yang and Manchester, Ward IV
- Description:
- GOES_flare_list: contains a list of more than 10,000 flare events. The list has 6 columns, flare classification, active region number, date, start time end time, emission peak time, GOES_B_flare_list: contains time series data of SDO/HMI SHARP parameters for B class solar flares , GOES_MX_flare_list: contains time series data of SDO/HMI SHARP parameters for M and X class solar flares, SHARP_B_flare_data_300.hdf5 and SHARP_MX_flare_data_300.hdf5 files contain time series more than 20 physical variables derived from the SDO/HMI SHARP data files. These data are saved at a 12 minute cadence and are used to train the LSTM model., and B_HARPs_CNNencoded_part_xxx.hdf5 and M_X HARPs_CNNencoded_part_xxx.hdf5 include neural network encoded features derived from vector magnetogram images derived from the Solar Dynamics Observatory (SDO) Helioseismic and Magnetic Imager (HMI). These data files typically contains one or two sequences of magnetograms covering an active region for a period of 24h with a 1 hour cadence. We encode each magnetogram with frames of a fixed size of 8x16 with 512 channels.
- Keyword:
- machine learning, data science, and solar flare prediction
- Citation to related publication:
- Chen, Y., Manchester, W., Hero, A., Toth, G., DuFumier, B. Zhou, T., Wang, X., Zhu, H., Sun, Zeyu, Gombosi, T., Identifying Solar Flare Precursors Using Time Series of SDO/HMI Images and SHARP Parameters, Space Weather Journal, submitted
- Discipline:
- Engineering and Science
- Title:
- Data and Data products for machine learning applied to solar flares
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- Creator:
- Linyan, Xiang and Oleg, Zikanov
- Description:
- The Liquid Metal Battery (LMB), a promising energy-storage device that contains liquid-metal interior, is studied numerically in the paper. The metal pad roll instability was modeled based on the open-source CFD software, OpenFOAM. It's based on the solver for simulations of incompressible multiphase flows multiphaseInterFoam modified to include the electromagnetic fields and account for the sharp variations of the electrical conductivity.
- Keyword:
- Liquid metal battery, Interfacial waves, Instability, and OpenFOAM
- Citation to related publication:
- Oleg Zikanov "Shallow water modeling of rolling pad instability in liquid metal batteries" THEORETICAL AND COMPUTATIONAL FLUID DYNAMICS, v.32, 2017, p.325-347 Linyan Xiang and Oleg Zikanov "Numerical simulation of rolling pad instability in liquid metal batteries" submitted to PHYSICS OF FLUIDS
- Discipline:
- Science
- Title:
- Metal pad instability in liquid metal batteries. animations of computed flow regimes
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Galaxy Shape Catalogs for Dark Energy Survey Science Verification (DES-SV) Data - Additional Regions
- Creator:
- Das, Rutuparna and Dark Energy Survey (DES)
- Description:
- This dataset is associated with the University of Michigan Dept. of Physics dissertation titled "Shedding Light on the Dark: Exploring the Relation Between Galaxy Cluster Mass and Temperature Through Weak Gravitational Lensing" by Rutuparna Das. It is also associated with a paper, currently in preparation, by Das et al (details to be added once paper is submitted/accepted)., This work contains information about shapes of galaxies observed by the Dark Energy Survey (DES) during its Science Verification (SV) run. The official DES SV shape catalog has already been released to the public (see details in Jarvis et al. (2016), henceforth called "J16"). This work follows the methods presented in J16, and contains shapes from areas of the sky that were not processed as part of the official DES-SV catalog but were necessary for the work presented in the aforementioned dissertation. Each catalog contains information for galaxies in a 80′ × 80′ cutout centered at a given galaxy cluster., Note that these catalogs are not entirely analogous to the official DES-SV catalog. For one, we only measure shapes for galaxies, as stars and other objects were not needed for the dissertation. Our catalogs also only extend to a magnitude of 24 in r-band, whereas a small fraction of the objects in the official Im3shape catalog are dimmer (see Figure 29 of J16)., We also include other information necessary for weak lensing studies. Aside from all fields from Im3shape and noise bias calibration (listed and described in J16), these catalogs contain columns for object positions (“ra_gold”, “dec_gold”) and magnitudes in various filters (“mag_detmodel_g”, “mag_detmodel_r”, “mag_detmodel_i”, “mag_detmodel_z”) from the SVA1-Gold catalog ( https://des.ncsa.illinois.edu/releases/sva1/docs/docs-gold). Additionally, we include mean redshift measurements from two DES photo-z measurement pipelines, TPZ and DESDM Neural Network (“z_TPZ”, “z_DESDMnn”) (more details in Sanchez et al. (2014))., and References: Jarvis, M., Sheldon, E., Zuntz, J., et al. 2016, Monthly Notices of the Royal Astronomical Society, 460, 2245. Sanchez, C., Carrasco Kind, M., Lin, H., et al. 2014, Monthly Notices of the Royal Astronomical Society, 445, 1482.
- Keyword:
- weak lensing, galaxy clusters, galaxy shapes, cluster cosmology, Dark Energy Survey, DES, and galaxy shape catalogs
- Citation to related publication:
- Das, R. (2018). Shedding Light on the Dark: Exploring the Relation Between Galaxy Cluster Mass and Temperature Through Weak Gravitational Lensing. University of Michigan. Dissertation access in Deep Blue: http://hdl.handle.net/2027.42/146101
- Discipline:
- Science
- Title:
- Galaxy Shape Catalogs for Dark Energy Survey Science Verification (DES-SV) Data - Additional Regions
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- Creator:
- Zhu, Jialei and Penner, Joyce E.
- Description:
- The dataset contains the Fortran programs applied in the latest CESM/IMPACT model as well as the data created from this model, which are used in the referenced paper.
- Keyword:
- Organic nucleation, CESM/IMPACT, and SOA
- Citation to related publication:
- Zhu, J. and Penner, J. E. : Global modelling of secondary organic aerosol (SOA) with organic nucleation, (2019), submitted to Journal of Geophysical Research-Atmosphere.
- Discipline:
- Science
- Title:
- Global modelling of secondary organic aerosol (SOA) with organic nucleation
-
- Creator:
- Basile, Samantha, Lin, Xin, and Keppel-Aleks, Gretchen
- Description:
- Files contain the atmospheric CO2 mole fraction responses to land flux type (HRcasa, HRcorpse, HRmimics) and land flux region (latband variable). Land flux regions are categorized as: Northern Hemisphere high latitudes (NHL; 61 to 90°N), midlatitudes (NML; 24 to 60°N), tropics (NT; 1 to 23°N), Southern Hemisphere tropics (ST; 0 to 23°S), and extratropics (SE; 24 to 90°S). See the README file for how these land flux region definitions relate to the file's latband variable. and To cite dataset: Basile, S., Lin, X., Keppel-Aleks, G. (2019). Simulated CO2 dataset using the atmospheric transport model GEOSChem v12.0.0: Response to regional land carbon fluxes [Data set]. University of Michigan - Deep Blue. https://doi.org/10.7302/xjzc-xy05
- Keyword:
- carbon dioxide, soil heterotrophic respiration, GEOSChem, HR, CO2, CASA-CNP, CORPSE, and MIMICS
- Citation to related publication:
- Discipline:
- Science
- Title:
- Simulated CO2 dataset using the atmospheric transport model GEOSChem v12.0.0: Response to regional land carbon fluxes
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- Creator:
- Trung, Huy-Sinh, Liemohn, Michael W, and Ilie, Raluca
- Description:
- The goal of this research was to understand structures where the solar wind plasma contribution to the total plasma was equal to the ionospheric plasma. This simulation was performed over a simulation time of 12 hours for 4 different plasma compositions for 2 different solar wind profiles., The SWMF used the Block Adaptive Tree Solar wind Roe-type Upwind Scheme version 9.20. It can be found at http://csem.engin.umich.edu/tools/swmf/downloads.php. These data can be processed using the simulation code deposited at the Deep Blue Data record indicated in the "Citation to related material" field., and To cite this data set: Trung, H.-S., Liemohn, M., W., Ilie, R. (2019). 12 hour data for magnetospheric simulations for a multifluid plasma for 8 different configurations [Data set]. University of Michigan Deep Blue Data Repository. https://doi.org/10.7302/fwq2-ey41
- Keyword:
- Space Physics, Magnetospheres, and 3D
- Citation to related publication:
- Trung, H.-S., Liemohn, M.W. Ilie, R. (2019). Steady State Characteristics of the Terrestrial Geopause [Data set]. University of Michigan Deep Blue Data Repository. https://doi.org/10.7302/7w13-kq27
- Discipline:
- Science
- Title:
- 12 hour data for magnetospheric simulations for a multifluid plasma for 8 different configurations
-
- Creator:
- Johnson, Jena E., Webb, Samuel M., Condit, Cailey B., Beukes, Nicolas J., and Fischer, Woodward W.
- Description:
- Manganese in the sedimentary record has been interpreted by many as a powerful redox proxy for paleoenvironments, and yet very little work has been done to ensure that the manganese-rich minerals in the rock record are actually recording primary signals. In the accompanying manuscript, we present an in-depth characterization of the manganese mineralogy from two correlated regions recording the Transvaal Supergroup in South Africa with markedly different alteration histories to investigate if there can be post-depositional emplacement of manganese-rich minerals. The data uploaded here are X-ray absorption spectra of (1) manganese standard minerals that were useful in our analyses and (2) minerals from an important well-characterized sample that may be useful as comparative standards in future studies.
- Keyword:
- manganese and X-ray absorption spectroscopy
- Citation to related publication:
- J.E. Johnson, S.M. Webb, C.B. Condit, N.J. Beukes, W.W. Fischer; Effects of metamorphism and metasomatism on manganese mineralogy: Examples from the Transvaal Supergroup. South African Journal of Geology doi: https://doi.org/10.25131/sajg.122.0034
- Discipline:
- Science
- Title:
- Dataset related to 'Effects of Metamorphism and Metasomatism on Manganese Mineralogy: Examples from the Transvaal Supergroup'
-
- Creator:
- Wang, Zihan
- Description:
- SWMF is used to study the segmentation of SED plume into polar cap patches during the geomagnetic storm on Sep 7, 2017. The database includes the 3D output in the upper atmosphere from GITM, the 2D output from Ionospheric Electrodynamics (IE) and 3D output from BATSRUS. The output from GITM can be read with thermo_batch_new.pro. The output from IE can be opened with Spacepy at https://pythonhosted.org/SpacePy/. The output from BATSRUS can be opened with tecplot. More details can be found in Readme.txt.
- Keyword:
- MHD and Ionosphere
- Citation to related publication:
- Segmentation of Storm Enhanced Density (SED) by Boundary Flows Associated with Partial Ring current, Wang et. al, GRL, 2019
- Discipline:
- Science
- Title:
- Space Weather Modeling Framework (SWMF) Simulation of Sep 7 2017 Geomagnetic Storm