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- Creator:
- Kim, Yongsung, Cheng, Weiqiu, Cho, Chun-Seok, Kang, Hyun Min, and Lee, Jun Hee
- Description:
- This dataset contains a typical example of Seq-Scope dataset that investigators would generate after examining the initial sequence data. If the quality of the initial Seq-Scope dataset looks great, one may decide to sequence the library much more deeply to maximize the information content. (see NovaScope tutorial at https://seqscope.github.io/NovaScope/ for more details). The spatial barcode sequences and the initial version of the sequenced cDNA library are deposited separate repository, which is described in the NovaScope documentation ( https://seqscope.github.io/NovaScope/). This data repository contains a deeper sequencing of the same library. A shallower version of sequencing, which does not have overlapping data with the current repository can be found at https://doi.org/10.5281/zenodo.10840695
- Keyword:
- Seq-Scope, Spatial Transcriptomics
- Citation to related publication:
- Yongsung Kim, Weiqiu Cheng, Chun-Seok Cho, Yongha Hwang, Yichen Si, Anna Park, Mitchell Schrank, Jer-En Hsu, Jingyue Xi, Myungjin Kim, Ellen Pedersen, Olivia I. Koues, Thomas Wilson, Goo Jun, Hyun Min Kang2, Jun Hee Lee, “Seq-Scope Protocol: Repurposing Illumina Sequencing Flow Cells for High-Resolution Spatial Transcriptomics” (submitted)
- Discipline:
- Science
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- Creator:
- Su, Xue and Zhang, Youxue
- Description:
- The H2O concentration and H2O/Ce ratio in olivine-hosted melt inclusions are high (H2O up to 1410 ppm; H2O/Ce up to 77) in lunar sample 74220 but lower (H2O up to 430 ppm; H2O/Ce up to 9.4) in all other lunar samples studied before this work. This difference is absent for other volatiles (F, S, and Cl) in melt inclusions in 74220 and other lunar samples. Because H2O (or H) is a critical volatile component with significant ramifications on the origin and evolution of the Moon, it is important to understand what causes such a large gap in H2O/Ce ratio between 74220 and other lunar samples. Two explanations have been advanced. One is that volcanic product in sample 74220 has the highest cooling rate and thus best preserved H2O in melt inclusions compared to melt inclusions in other samples. The other explanation is that sample 74220 is a localized heterogeneity enriched in some volatiles. To distinguish the two possibilities, here we present new data from three rapidly cooled lunar samples: olivine-hosted glassy melt inclusions (OHMIs) in 74220 regolith and 79135 regolith breccia, and pyroxene-hosted glassy melt inclusions (PHMIs) in 15597 pigeonite basalts. If the gap is due to the difference in cooling rates, samples with cooling rates between 74220 and other studied lunar samples should have preserved intermediate H2O concentrations and H2O/Ce ratios. Our results show that melt inclusions in 79135 and 15597 contain high H2O concentrations (up to 969 ppm in 79135 and up to 793 ppm in 15597) and high H2O/Ce ratios (up to 21 in 79135 and up to 13 in 15997). Combined with literature data, we confirm that H2O/Ce ratios of different lunar samples are positively correlated to the cooling rates and independent of the type of mare basalts. Our work bridges the big gap in H2O/Ce ratio among 74220 and other lunar samples. We hence reinforce the interpretation that the lunar sample with the highest cooling rate best represents pre-eruptive volatiles in lunar basalts due to the least degassing. H2O, F, P, S and Cl concentrations in the lunar primitive mantle are also estimated in this work. and *** 2024-03-19: In addition to the files in the previous version, this updated deposit contains more data files as the supplementary files of the paper. For example, we added a summary excel file containing data that are used for figures in the paper, and an excel file contains data in the tables of the paper for easy use by readers. See ReadMe.txt for changes.
- Keyword:
- Water in the Moon, volatiles in the Moon, olivine-hosted melt inclusions, pyroxene-hosted melt inclusions, F/P ratio, S/Dy ratio, Cl/Ba ratio
- Discipline:
- Science
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Division of Birds
User Collection- Creator:
- University of Michigan Museum of Zoology
- Description:
- University of Michigan Museum of Zoology Division of Birds
- Discipline:
- Science
1Works -
Division of Fishes
User Collection- Creator:
- University of Michigan Museum of Zoology
- Description:
- Division of Fishes
- Discipline:
- Science
48Works -
Division of Mammals
User Collection- Creator:
- University of Michigan Museum of Zoology
- Description:
- The Division of Mammals at the Museum of Zoology was established in 1837, and has grown steadily to its current size, with over 150,000 specimens. An important feature of the mammal collection at the Museum of Zoology is our emphasis on non-traditional specimens.
- Discipline:
- Science
310Works -
University of Michigan Museum of Zoology
User Collection- Creator:
- University of Michigan Museum of Zoology
- Description:
- The University of Michigan Museum of Zoology (UMMZ) is the center for the study of animal diversity on campus, focusing on the evolutionary origins of the planet’s animal species, the genetic information they contain and the communities and ecosystems they help form. Now an integral part of the Department of Ecology and Evolutionary Biology (EEB), the UMMZ houses world-class collections, containing more than 15 million specimens, span almost 200 years of regional and global biodiversity studies and that support a multi-faceted Departmental research and teaching program.
- Discipline:
- Science
4Sub-collections0Works -
- Creator:
- Hong, Yi, Fry, Lauren M., Orendorf, Sophie, Ward, Jamie L., Mroczka, Bryan, Wright, David, and Gronewold, Andrew
- Description:
- Accurate estimation of hydro-meteorological variables is essential for adaptive water management in the North American Laurentian Great Lakes. However, only a limited number of monthly datasets are available nowadays that encompass all components of net basin supply (NBS), such as over-lake precipitation (P), evaporation (E), and total runoff (R). To address this gap, we developed a daily hydro-meteorological dataset covering an extended period from 1979 to 2022 for each of the Great Lakes. The daily P and E were derived from six global gridded reanalysis climate datasets (GGRCD) that include both P and E estimates, and R was calculated from National Water Model (NWM) simulations. Ensemble mean values of the difference between P and E (P – E) and NBS were obtained by analyzing daily P, E, and R. Monthly averaged values derived from our new daily dataset were validated against existing monthly datasets. This daily hydro-meteorological dataset has the potential to serve as a validation resource for current data and analysis of individual NBS components. Additionally, it could offer a comprehensive depiction of weather and hydrological processes in the Great Lakes region, including the ability to record extreme events, facilitate enhanced seasonal analysis, and support hydrologic model development and calibration. The source code and data representation/analysis figures are also made available in the data repository.
- Keyword:
- Great Lakes, Hydrometeorological, National Water Model, Daily, Overlake precipitation, Overlake evaporation, Total runoff, Net Basin Supply, and Water Balance
- Discipline:
- Science and Engineering
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- 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
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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:
- Sorensen, Troy R, Espey, Eamon, Kelley, John G. W. , Kessler, James, and Gronewold, Andrew D.
- Description:
- Inland lakes play a critical role in ecosystem stability, and robust validation of lake models is essential for understanding their dynamics. While remote sensing data can assist with lake surface temperature validation, in situ data typically provides more accurate, reliable data not limited to only the lake surface. However, in situ temperature data for many individual lakes, particularly in North America, is difficult for researchers to quickly access in a standardized format. This database offers a well-organized collection of in situ near-surface and subsurface temperatures from 134 sites divided among 29 large North American inland lakes collected from a variety of sources. The database includes multiple subsurface temperatures throughout the depth profile of 84 of these sites, providing comprehensive data for lake model evaluation. All lakes selected for this database are large enough (over approximately 30 km^2 to be represented by large-scale operational weather models, supporting robust lake model validation efforts on the lakes that have the greatest impact on climatology.
- Keyword:
- lake, temperature, in situ, and subsurface
- Citation to related publication:
- Sorensen, T., Espey, E., Kelley, J.G.W. et al. A database of in situ water temperatures for large inland lakes across the coterminous United States. Sci Data 11, 282 (2024). https://doi.org/10.1038/s41597-024-03103-8
- Discipline:
- Science