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- Creator:
- Agnit Mukhopadhyay, Sanja Panovska, Raven Garvey, Michael Liemohn, Natalia Ganjushkina, Austin Brenner, Ilya Usoskin, Michael Balikhin, and Daniel Welling
- Description:
- In the recent geological past, Earth’s magnetic field reduced to 4% of the modern values and the magnetic poles moved severely apart from the geographic poles causing the Laschamps geomagnetic excursion, which happened about 41 millennia ago. The excursion lasted for about two millennia, with the peak strength reduction and dipole tilting lasting for a shorter period of 300 years. During this period, the geomagnetic field exhibited significant differences from the modern nearly-aligned dipolar field, causing non-dipole variables to mimic a magnetic field akin to the outer planets while displaying a significantly reduced magnetic strength. However, the precise magnetospheric configuration and their electrodynamic coupling with the atmosphere have remained critically understudied. This dataset contains the first space plasma investigation of the exact geomagnetic conditions in the near-Earth space environment during the excursion. The study contains a full 3D reconstruction and analysis of the geospace system including the intrinsic geomagnetic field, magnetospheric system and the upper atmosphere, linked in sequence using feedback channels for distinct temporal epochs. The reconstruction was conducted using the LSMOD.2 model, Block Adaptive Tree Solar wind-Roe-Upwind Scheme (BATS-R-US) Model and the MAGnetosphere-Ionosphere-Thermosphere (MAGNIT) Auroral Precipitation Model, all of which are publicly-available models. The dataset contains the raw data from each of these models, in addition to the images/post-processing results generated using these models. Paleomagnetic data produced by LSMOD.2 can be visualized using a combination of linear plotting and contour plotting tools available commonly in visualization software like Python (e.g. Python/Matplotlib) or MATLAB. Standard tools to read and visualize BATS-R-US and MAGNIT output are already publicly available using IDL and Python (see SpacePy/PyBats - https://spacepy.github.io/pybats.html). For information and details about the post-processed data, visualization and analysis, please contact the authors for details. The anthropological dataset can be visualized using a shape file reader (e.g. Python/GeoPandas) and a linear plotting tool (e.g. Python/Matplotlib).
- Discipline:
- Engineering and Science
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- Creator:
- Liemohn, Michael W
- Description:
- Earth’s upper atmosphere above 500 km altitude constantly loses charged particles to outer space in a process called ionospheric outflow. This outflow is important for the dynamics of the near-Earth space environment (“space weather”) yet is poorly understood on a global scale. A mission is needed to observe the global patterns of ionospheric outflow and its relation to space weather driving conditions. The science objectives of such a mission could include not only the reconstruction of global outflow patterns but also the relation of these patterns to geomagnetic activity and the spatial and temporal nature of outflow composition. A study is presented to show that four well-placed spacecraft would be sufficient for reasonable outflow reconstructions.
- Keyword:
- ionosphere, magnetosphere, satellite mission concept, and space weather
- Citation to related publication:
- Liemohn, M. W., Jörg-Micha Jahn, Raluca Ilie, Natalia Y. Ganushkina, Daniel T. Welling, Heather Elliott, Meghan Burleigh, Kaitlin Doublestein, Stephanie Colon-Rodriguez, Pauline Dredger, & Philip Valek (2024). Reconstruction analysis of global ionospheric outflow patterns. Journal of Geophysical Research Space Physics, 129, e2023JA032238. https://doi/org/10.1029/2024JA032238
- Discipline:
- Science
-
- Creator:
- Abraczinskas, Carol and Capobianco, Alessio
- Description:
- These files (.tiff format) provide high-resolution images of a fossil specimen complementing the formal description of the osteoglossid fish †Macroprosopon hiltoni from the Eocene (Ypresian) of Morocco.
- Keyword:
- Paleontology, Fossil, Osteoglossidae, FSAC, Faculty of Sciences Aïn Chock, Casablanca, Morocco, and Eocene
- Discipline:
- Science
-
- Creator:
- Surdoval, Alison, Jain, Meha, Wang, Haoyu, and Blesh, Jennifer
- Description:
- We conducted a mixed-methods study to understand how financial incentive programs impact transitions to cover cropping in Michigan. Michigan farms span a wide range of soil types, climate conditions, and cropping systems that create opportunities for cover crop adoption in the state. We tested the relationship between Environmental Quality Incentives Program (EQIP) payments for cover crops and cover crop adoption between 2008-2019, as measured by remote sensing. Panel fixed effects regressions showed that EQIP increased winter cover crop presence. Every EQIP dollar for cover crops was associated with a 0.01 hectare increase in winter cover, while each hectare enrolled in an EQIP contract for cover crops was associated with a 0.86 – 0.93 hectare increase in winter cover.
- Keyword:
- adoption, cover crop, Environmental Quality Incentives Program, financial incentive program, Michigan, remote sensing
- Citation to related publication:
- Surdoval, A., Jain, M., Blair, E., Wang, H., and J. Blesh. In press. Financial incentive programs and farm diversification with cover crops: Assessing opportunities and challenges.
- Discipline:
- Science
-
- Creator:
- CTEES
- Description:
- Reconstructed CT slices for Snout region of Macroprosopon (catalog number FSAC CP 330; FSAC = Faculty of Sciences Aïn Chock, Casablanca, Morocco) 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:
- Paleontology, Fossil, CT, Osteoglossidae, FSAC, Faculty of Sciences Aïn Chock, Casablanca, Morocco, and Eocene
- Discipline:
- Science
-
- Creator:
- CTEES
- Description:
- Specimen FSAC CP 330_Macroprosopon_Occipital region was scanned with a Nikon XT H 225ST uCT system housed in the Department of Earth and Environmental Sciences at the University of Michigan. Scans were collected with the following settings: energy settings, 215 kV, 115 uA; source to object distance, 353.463794708252 mm; source to detector distance, 1104.999 mm; scanned with 3141 projections; voxel size, x = 0.0639753837488959 mm y = 0.0639753837488959 mm z = 0.0639753837488959 mm; slice dimension (in pixels), x = 1222, y = 2000; number of slices, 2000 16-bit TIFF images. Original floating point grey values were scaled to span the unsigned 16-bit integer range using an offset of 4151.70947265625 and a scale factor of 4.802938109992684, where 16output = SCALE * (32input + OFFSET). Additional metadata can be found in the xtekct, ctprofile.xml, and UMMPCombinedMetadata.json files.
- Keyword:
- Paleontology, Fossil, CT, Osteoglossidae, FSAC, Faculty of Sciences Aïn Chock, Casablanca, Morocco, and Morocco
- Discipline:
- Science
-
- Creator:
- Capobianco, Alessio
- Description:
- Reconstructed CT slices for skull of Petrocephalus simus (University of Michigan Museum of Zoology catalog number UMMZ Fish 200167) 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:
- Zoology, Ichthyology, Fish, CT, Mormyridae, and UMMZ
- Discipline:
- Science
-
- Creator:
- CTEES
- Description:
- Reconstructed CT slices for skull of Pantodon buchholzi (University of Michigan Museum of Zoology catalog number UMMZ Fish 249782) 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:
- Zoology, Ichthyology, Fish, CT, Pantodontidae, and UMMZ
- Discipline:
- Science
-
- Creator:
- CTEES
- Description:
- Reconstructed CT slices for skull of Hiodon tergisus (University of Michigan Museum of Zoology catalog number UMMZ Fish 247425) 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:
- Zoology, Ichthyology, Fish, CT, Hiodontidae, and UMMZ
- Discipline:
- Science
-
- Creator:
- CTEES
- Description:
- Reconstructed CT slices for skull of Heterotis niloticus (University of Michigan Museum of Zoology catalog number UMMZ Fish 195004) 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:
- Zoology, Ichthyology, Fish, CT, Osteoglossidae, and UMMZ
- Discipline:
- Social Sciences
-
- Creator:
- Capobianco, Alessio
- Description:
- Reconstructed CT slices for skull of Chitala blanci (University of Michigan Museum of Zoology catalog number UMMZ Fish 232272) 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:
- Zoology, Ichthyology, Fish, CT, Notopteridae, and UMMZ
- Discipline:
- Science
-
- Creator:
- CTEES
- Description:
- Reconstructed CT slices for whole specimen of Macroprosopon (catalog number FSAC CP 330; FSAC = Faculty of Sciences Aïn Chock, Casablanca, Morocco) 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:
- Paleontology, Fossil, CT, Osteoglossidae, FSAC, Faculty of Sciences Aïn Chock, Casablanca, Morocco, and Eocene
- Discipline:
- Science
-
- Creator:
- Young, Lauren, Ferrari, Fabienne, Kelly, Lisa, Martin, Tara, Thompson-Iritani, Sally , and LaFollette, Megan R
- Description:
- This dataset contains the results of a survey about professional quality of life for individuals working in animal research facilities. The survey included questions about professional quality of life, job satisfaction, retention, and other factors influencing compassion fatigue resiliency. Data was collected via Qualtrics survey as described in the methodology section. This dataset is associated with the following publication, accepted by PLOS One: PONE-D-23-17551R2 Professional quality of life in animal research personnel is linked to retention & job satisfaction: A mixed-methods cross-sectional survey on compassion fatigue in the USA by Lauren Young, Fabienne Ferrari, Lisa Kelly, Tara Martin, Sally Thompson-Iritani, and Megan R LaFollette
- Keyword:
- compassion fatigue, culture of care, mental health, retention, job satisfaction, animal research, institutional culture, resiliency, and professional quality of life
- Citation to related publication:
- PONE-D-23-17551R2 Professional quality of life in animal research personnel is linked to retention & job satisfaction: A mixed-methods cross-sectional survey on compassion fatigue in the USA by Lauren Young, Fabienne Ferrari, Lisa Kelly, Tara Martin, Sally Thompson-Iritani, and Megan R LaFollette
- Discipline:
- Science
-
- Creator:
- Dariya, Malyarenko, Tariq, Humera, Kushwaha, Aman, Mourad, Rami, Heist, Kevin, Chenevert, Thomas L, Ross, Brian D, Chen, Heang-Ping, and Hadjiiski, Lubomir
- Description:
- The 3D GRE MRI data for murine model of myelofbifrosis with expert segmentations of mouse tibia was used to train Attention UNET model to automate bone marrow segmentation for measurements of imaging biomarkers. This dataset consists of three archives: (1) containing the source MRI images in Meta-image-header (MHD) format with resulting segmentation labels by two experts and four UNET models with different training scenarios; (2) corresponding training models; and (3) deep-learning (DL)-based segmentation tools for application to future murine tibia MRI data. and The MHD images are an ITK compatible format that can be viewed in standard image viewer, like 3D Slicer. The image archive is structured with a directory tree that contains \"mouseID"\"scan-date"\"segmentaion-scenario"\. The "training model" archive containes DL-model labeled by the data subset, and "deployment" archive containes the DL-segmentation software.
- Keyword:
- deep-learning segmentation, preclinical MRI, murine tibia, and mouse model of myelofibrosis
- Citation to related publication:
- Kushwaha A, Mourad RF, Heist K, Tariq H, Chan HP, Ross BD, Chenevert TL, Malyarenko D, Hadjiiski LM. Improved Repeatability of Mouse Tibia Volume Segmentation in Murine Myelofibrosis Model Using Deep Learning. Tomography. 2023 Mar 7;9(2):589-602. doi: 10.3390/tomography9020048. PMID: 36961007; PMCID: PMC10037585. and https://github.com/dumichgh/MFJK1_Segmentation_MHDs
- Discipline:
- Health Sciences
-
- Creator:
- Katz, Sarah A., Levin, Naomi E., Abbott, Mark B., Rodbell, Donald T., Passey, Benjamin H., DeLuca, Nicole N., Larsen, Darren J., and Woods, Arielle
- Description:
- This dataset presents stable isotope data (d13C, d18O, D47, D17O) from Holocene lake cores from three lakes in the Peruvian Andes (Lakes Junin, Pumacocha, and Mehcocha). We also present new radiocarbon (14C) data and core age models for Lakes Junin and Mehcocha. We use these data to explore trends in lake water temperatures and evaporative state (i.e., water balance) over the Holocene. Our clumped isotope (D47) results suggest lake water temperatures at all three lakes were stable over the Holocene and similar to present day lake temperatures. Our triple oxygen isotope (D’17O) results illustrate that lake water balance at all three lakes was variable over the Holocene and tracks changes in austral summertime insolation, suggesting a connection between central Andean water balance and the South American summer monsoon (SASM).
- Keyword:
- Holocene, Andes, temperature, water balance, lacustrine carbonate, lake hydrology, triple oxygen isotopes, and clumped isotopes
- Citation to related publication:
- Katz, S.A., Levin, N.E., Abbott, M.B., Rodbell, D.T., Passey, B.H., DeLuca, N.M., Larsen, D.J., Woods, A. "Holocene temperature and water stress in the Peruvian Andes: insights from lake carbonate clumped and triple oxygen isotopes," in review. and Katz, S.A., (2024) Andean interglacial climate and hydrology over the last 650,000 years. [PhD Thesis, University of Michigan]
- Discipline:
- Science
-
- Creator:
- Malyarenko, Dariya, Chenevert, Thomas L, Heist, Kevin, Bonham, Christopher, and Ross, Brian
- Description:
- The imaging data was used to measure repeatability and temporal trends of quantitative imaging biomarkers of myelofibrosis in bone marrow based on apparent diffusion coefficient, fat fraction and magnetization transfer ratio. The dataset consists of time series of the MRI Meta-image-header (MHD) images of wild type and diseased mice combined by the imaging time point. The MHD images are an ITK compatible format that can be viewed in standard image viewer, like 3D Slicer. Each time point image archive is structured with a directory tree that contains ./././"mouseID"/"scan-date"/"acquisition type"/
- Keyword:
- murine tibia MRI, bone marrow imaging, apparent diffusion coefficient (ADC), proton density fat fraction (PDFF), magnetization transfer ratio (MTR), and pre-clinical model of myelofibrosis
- Citation to related publication:
- Ross BD, Malyarenko D, Heist K, Amouzandeh G, Jang Y, Bonham CA, Amirfazli C, Luker GD, Chenevert TL. Repeatability of Quantitative Magnetic Resonance Imaging Biomarkers in the Tibia Bone Marrow of a Murine Myelofibrosis Model. Tomography. 2023 Feb 28;9(2):552-566. doi: 10.3390/tomography9020045. PMID: 36961004; PMCID: PMC10037563.
- Discipline:
- Health Sciences
-
- Creator:
- Bautista-Arredondo, Luis F., Muñoz-Rocha, T. Verenice, Figueroa, José L., Téllez-Rojo, Martha M., Torres-Olascoaga, Libni A., Cantoral, Alejandra, Arboleda-Merino, Laura C., Leung, Cindy, Peterson, Karen E., and Lamadrid-Figueroa, Héctor
- Description:
- Data was collected from participants of the Early Life Exposures in Mexico to ENvironmental Toxicants (ELEMENT) study, which consists of three sequentially-enrolled birth cohorts of pregnant women. Research protocols of this study were approved by the Institutional Review Board at University of Michigan and the Mexico National Institute of Public Health. We obtained informed consent from study participants prior to enrollment.
- Keyword:
- Food Insecurity, COVID-19 Pandemic, Mexico, Cohort
- Citation to related publication:
- Bautista-Arredondo LF, Verenice Muñoz-Rocha T, Figueroa JL, Téllez-Rojo MM, Torres-Olascoaga LA, Cantoral A, Arboleda-Merino L, Leung L, Peterson KE, and Lamadrid-Figueroa H. A surge in food insecurity during the COVID-19 pandemic in a cohort in Mexico City. 2022. Article in process of publication.
- Discipline:
- Health Sciences
-
- Creator:
- Sheppard, Anja, Sethuraman, Advaith V, Bagoren, Onur, Pinnow, Christopher, Anderson, Jamey, Havens, Timothy C, and Skinner, Katherine A
- Description:
- The AI4Shipwrecks dataset contains sidescan sonar images of shipwrecks and corresponding binary labels collected during 2022 and 2023 at the NOAA Thunder Bay National Marine Sanctuary in Alpena, MI. The data collection platform was an Iver3 Autonomous Underwater Vehicle (AUV) equipped with an EdgeTech 2205 dual-frequency ultra-high resolution sidescan sonar and 3D bathymetric system. The labels were compiled from reference labels created by experts in marine archaeology. The intended use of this dataset is to encourage development of semantic segmentation, object detection, or anomaly detection algorithms in the computer vision field. Comparisons of state-of-the-art segmentation networks on our dataset are shown in the paper. , The file structure is organized as described in the README.txt file, where images in 'images' directories are the waterfall product of sidescan sonar surveys, and images in 'labels' directories are binary representations of expert labels. Images across the 'images' and 'labels' directories are correlated by having identical filenames. In the label images, a pixel value of '0' represents the non-shipwreck/other class and '1' represents the shipwreck class for the correspondingly named image (<wreck_name>_<##>.png) in the images directory. , and The project webpage can be found at: https://umfieldrobotics.github.io/ai4shipwrecks/
- Keyword:
- machine learning, computer vision, field robotics, marine robotics, underwater robotics, sidescan sonar, semantic segmentation, and object detection
- Discipline:
- Engineering
-
- Creator:
- Xiantong Wang
- Description:
- Bursty bulk flows (BBFs) are identified as the fast earthward-propagating flows from magnetic reconnection in Earth's magnetotail. BBFs are related to particle energization process reported by satellite observations. For the first time, we use a novel numerical model that simulates kinetic physics directly in a global model. The energization of the electrons associated with BBF is demonstrated by the model. The electron velocity distribution functions (VDFs) extracted from multiple locations associated with BBF demonstrate good agreements with the observations. The energy-dependent electron pitch angle distribution at the leading part of the BBF can be explained by the enhancement of the local magnetic field.
- Discipline:
- Science
-
- Creator:
- Zhang, Yingxiao MI
- Description:
- We developed a new model framework based on WRF-Chem, simulating primary biological aerosol particle emissions and their interaction with clouds. We have designed different sensitivity tests to evaluate the effects of pollen and sub-pollen particles (SPPs), respectively. Our results show that SPPs have a larger effect on cloud microphysics and precipitation than whole pollen grains.
- Keyword:
- Aerosol-cloud interactions, Primary biological aerosol particles, Ice nucleating particles, Microphyscis scheme, and Pollen
- Discipline:
- Science