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- Creator:
- Bougher, Stephen W. and Roeten, Kali J.
- Description:
- The NASA MAVEN (Mars Atmosphere and Volatile Evolution) spacecraft, which is currently in orbit around Mars, has been taking systematic measurements of the densities and deriving temperatures in the upper atmosphere of Mars between about 140 to 240 km above the surface since late 2014. Wind measurement campaigns are also conducted once per month for 5-10 orbits. These densities, temperatures and winds change with time (e.g. solar cycle, season, local time) and location, and sometimes fluctuate quickly. Global dust storm events are also known to significantly impact these density, temperature and wind fields in the Mars thermosphere. For the current project, the derived temperatures and O plus CO2 densities are used to characterize the upper atmosphere dayside thermal and density structure. Presently, more than 6 years of Neutral Gas and Ion Mass Spectrometer (NGIMS) measurements of neutral densities have been obtained by the MAVEN team (e.g. Mahaffy et al. 2015; Bougher et al 2015; Elrod et al., 2017; 2021; Stone et al. 2018; Gupta et al., 2021). Measured neutral density distributions are compared to simulations from a computer model of the Mars atmosphere called M-GITM (Mars Global Ionosphere-Thermosphere Model), developed at U. of Michigan. Since the global circulation plays a role in the structure, variability, and evolution of the atmosphere, understanding the processes that drive the winds in the upper atmosphere of Mars also provides the needed context for understanding density and temperature distributions and how the atmosphere behaves as a whole system. Three dimensional M-GITM simulations for extreme Mars seasonal and solar cycle conditions were conducted for detailed comparisons with NGIMS derived temperatures and O/CO2 ratio distributions (Bougher et al. 2022). Extracted model densities and temperatures along the MAVEN inbound trajectory of each orbit path (between ~300 km and periapsis) are provided in this Deep Blue Data archive. Corresponding M-GITM heat balance terms are also provided in vertical 1-D tabulated formats. README files are included for each suite of 1-D "flythru" tables, detailing the contents of each file. In addition, a general README file is provided that summarizes the inputs and outputs of the M-GITM code simulations for this study. Finally, a basic version of the M-GITM code can be found on Github at https:/github.com/dpawlows/MGITM.
- Keyword:
- Mars, NASA MAVEN Mission, NGIMS instrument , and M-GITM numerical simulations
- Citation to related publication:
- Bougher, S. W., Benna, M., Elrod, M., Roeten, K., & Thiemann, E. (2023). MAVEN/NGIMS dayside exospheric temperatures over solar cycle and seasons: Role of dayside thermal balances in regulating temperatures. Journal of Geophysical Research: Planets, 128, e2022JE007475. https://doi.org/10.1029/2022JE007475
- Discipline:
- Science
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- Creator:
- Bacon, Elizabeth, Hanson, Erika N., Austin, Sarah, Delacroix, Emerson, Uhlmann, Wendy, Roberts, Scott, and Resnicow, Ken
- Description:
- Survey respondents were cancer-affected patients seen at an academic medical center, and self-reported experiences with genetic testing and counseling. This is raw dataset is saved in comma separated value (.csv) format.
- Keyword:
- Genetic Testing, Clinician Recommandation , NCCN Guidelines, Hereditary Genetic Testing, and Disparities in Genetic Counseling
- Citation to related publication:
- American Association of Kidney Patients: A List of Support Groups in Michigan. https://aakp.org/wp-content/uploads/2020/06/Support-Groups-Michigan.pdf
- Discipline:
- Science and Health Sciences
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- Creator:
- Khabiri, Morteza and Freddolino, Peter L.
- Description:
- Genome-wide predictions of all transcription factor binding sites on the D. melanogaster genome were developed for use in predicting the locations of Polycomb response elements, as described in https://doi.org/10.1101/516500
- Keyword:
- Systems Biology and Drosophila
- Citation to related publication:
- Khabiri, M., & Freddolino, P. L. (2019). Genome-wide Prediction of Potential Polycomb Response Elements and their Functions. Preprint. BioRxiv, 516500. https://doi.org/10.1101/516500
- Discipline:
- Science
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- Creator:
- Yu, Chi-Lin, Eggleston, Rachel, Zhang, Kehui, Nickerson, Nia, Sun, Xin, Marks, Rebecca A., Hu, Xiaosu, Brennan, Jonathan R. , Wellman, Henry M. , and Kovelman, Ioulia
- Description:
- The dataset includes 51 children (age range = 6-12 years) who listened to the first chapter of Alice’s Adventures in Wonderland during fNIRS neuroimaging. We also provide the text of the story with several word-by-word predictors motivated by research in Theory of Mind development and language. These annotated, naturalistic datasets can be used to replicate prior work and test new hypotheses about everyday social cognition and natural language comprehension in the developing brain.
- Keyword:
- neuroimaging, fNIRS, Children, Theory of Mind, Language, Naturalistic Neuroscience, and Story Listening
- Discipline:
- Science
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- Creator:
- Minallah, Samar and Steiner, Allison L.
- Description:
- Data format: netcdf4 , Time series duration: 2016-06-01 to 2020-10-31, Temporal resolution: Daily, and Spatial resolution: The model output was regridded to a 0.05 degree rectilinear (lat/lon) grid using the conservative remapping method ("cdo remapcon" tool).
- Keyword:
- Land surface hydrology, Great Lakes, Land surface model, NOAH-MP, WRF-Hydro, and Hydrologic modeling
- Citation to related publication:
- Minallah, S. (2022). A Study on the Atmospheric, Cryospheric, and Hydrologic Processes Governing the Evolution of Regional Hydroclimates (Doctoral dissertation, University of Michigan Ann Arbor). https://dx.doi.org/10.7302/6223
- Discipline:
- Science and Engineering
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- Creator:
- University of Michigan Museum of Paleontology and CTEES
- Description:
- Reconstructed CT slices for tooth, occlusal part of sectioned tooth of Physeter (University of Michigan Museum of Paleontology catalog number UMMP_R_102) as a series of TIFF images. Raw projections are not included in this dataset. The reconstructed slice data from the scan are offered here as a series of unsigned 16-bit integer TIFF images. The upper left corner of the first image (*_0000.tif) is the XYZ origin.
- Keyword:
- Sclerochronology, CT, Physeteridae, UMMP, University of Michigan Museum of Paleontology, Ford-Mitchell Collection, Holocene, and CTEES
- Citation to related publication:
- University of Michigan Museum of Paleontology, CTEES. CT Data of UMMP R 102, Physeter tooth (apical part of sectioned tooth) [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/msdh-gc24
- Discipline:
- Science
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- Creator:
- Zhang, Yingxiao MI and Steiner, Allison MI
- Description:
- In the dataset, "_T" means temperature effects only, without "_T" means temperature and precipitation effects are both considered, "_co2" means CO2 effects are considered on the based of temperature and precipitation effects.
- Keyword:
- pollen emission, climate change, and public health
- Discipline:
- Science
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- Creator:
- University of Michigan Museum of Paleontology and CTEES
- Description:
- Reconstructed CT slices for tooth-apical of Physeter (University of Michigan Museum of Paleontology catalog number UMMP_R_102) as a series of TIFF images. Raw projections are not included in this dataset. The reconstructed slice data from the scan are offered here as a series of unsigned 16-bit integer TIFF images. The upper left corner of the first image (*_0000.tif) is the XYZ origin.
- Keyword:
- Sclerochronology, CT, Physeteridae, UMMP, University of Michigan Museum of Paleontology, Ford-Mitchell Collection, Holocene, and CTEES
- Discipline:
- Science
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- Creator:
- Swiger, Brian M, Liemohn, Liemohn W, Ganushkina, Natalia Y, and Dubyagin, Stepan V
- Description:
- The data included are those that were used in the creation of a model described in the manuscript titled "Predictions of Electron Flux in the near-Earth Plasma Sheet from Solar Wind Driving" by Swiger et al., 2022, published in the Space Weather Journal. doi: pending, TBD and The manuscript describes the development and assessment of a model that predicts electron flux (from 83 eV to 93 keV energies) in a region of Earth's magnetosphere called the plasma sheet. The model uses inputs of solar wind parameters including, but not limited, to solar wind speed and the interplanetary magnetic field.
- Keyword:
- magnetosphere plasma, machine learning, neural network, space weather forecasting, electrons in space, Earth's plasma sheet, and solar wind driving of magnetosphere
- Citation to related publication:
- Swiger, B. M., Liemohn, M. W., Ganushkina, N. Y., & Dubyagin, S. V. (2022). Energetic electron flux predictions in the near-Earth plasma sheet from solar wind driving. Space Weather, 20, e2022SW003150. https://doi.org/10.1029/2022SW003150
- Discipline:
- Science
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- Creator:
- McCuen, Brett A.
- Description:
- The data were used to study the high-frequency geomagnetic disturbances within the magnetic field data. Included in this repository are the python scripts that perform an identification and classification of high-frequency signals within the magnetometer data that is downloaded from the databases listed in the Methodology section. All analysis and plots were created using subsequent Python libraries. The machine learning study implemented libraries from the sci-kit learn software. All of the specific methodology can be accessed in the readme.txt script.
- Keyword:
- geomagnetic field, high frequency, space weather, transient-large-amplitude, TLA, high frequency dB/dt, and dB/dt search algorithm
- Discipline:
- Science