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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
-
- 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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- 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:
- 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
-
- 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:
- Do, Hong X., Smith, Joeseph P., Fry, Lauren M., and Gronewold, Andrew D.
- Description:
- This data set contains a new monthly estimate of the water balance of the Laurentian Great Lakes, the largest freshwater system on Earth, from 1950 to 2019. The source codes and inputs to derive the new estimates are also included in this dataset. and ***ADDED 2024-02-27: The component net basins supply data "*NBSC_GLWBData.csv" in "output_ts_posterior.zip" need to be revised for further applications***
- Keyword:
- Laurentian Great Lakes, Bayesian inference, water levels, data assimilation, and water balance
- Citation to related publication:
- Do, H. X., Smith, J. P., Fry, L. M., & Gronewold, A. D. (2020). Seventy-year long record of monthly water balance estimates for Earth’s largest lake system. Scientific Data, 7(1), 276. https://doi.org/10.1038/s41597-020-00613-z, Gronewold, A. D., Smith, J. P., Read, L., & Crooks, J. L. (2020). Reconciling the water balance of large lake systems. Advances in Water Resources, 103505. https://doi.org/10.1016/j.advwatres.2020.103505 , and This version replaces the following deprecated dataset: Do, H.X., Smith, J.P., Fry, L.M., Gronewold, A.D. (2020). Monthly water balance estimates for the Laurentian Great Lakes from 1950 to 2019 [Data set]. University of Michigan - Deep Blue. https://doi.org/10.7302/0rsp-v195
- Discipline:
- Science
-
- Creator:
- University of Michigan Museum of Zoology
- Description:
- Scan of specimen ummz:fish:227765 (Argyropelecus aculeatus Valenciennes, 1850). Raw Dataset includes 2401 TIF images (each 1316 x 1285 x 1 voxel at 0.02652906 mm resolution, derived from 2401 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:fish:227765 (Argyropelecus aculeatus Valenciennes, 1850). Reconstructed Dataset includes 1471 TIF images (each 1316 x 1285 x 1 voxel at 0.026529 mm resolution, derived from 2401 scan projections), xtek and vgi files for volume reconstruction.
- Keyword:
- Animalia, Chordata, Stomiiformes, Sternoptychidae, Argyropelecus aculeatus Valenciennes, 1850, 1889127527, computed tomography, X-ray, 3D, and DiceCT
- Citation to related publication:
- For more information on the original UMMZ specimen, see: https://www.gbif.org/occurrence/1889127527 and DiceCT for Fishes: Recommendations for pairing iodine contrast agents with μCT to visualize soft tissues in fishes https://doi.org/10.1111/jfb.15320
- Discipline:
- Science
-
- Creator:
- University of Michigan Museum of Zoology
- Description:
- Scan of specimen ummz:fish:165173 (Noturus gyrinus (Mitchill, 1817)). Raw Dataset includes 1801 TIF images (each 503 x 663 x 1 voxel at 0.0382276 mm resolution, derived from 1801 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:fish:165173 (Noturus gyrinus (Mitchill, 1817)). Reconstructed Dataset includes 1775 TIF images (each 503 x 663 x 1 voxel at 0.038228 mm resolution, derived from 1801 scan projections), xtek and vgi files for volume reconstruction.
- Keyword:
- Animalia, Chordata, Siluriformes, Ictaluridae, Noturus gyrinus (Mitchill, 1817), 1889067832, computed tomography, X-ray, 3D, and DiceCT
- Citation to related publication:
- For more information on the original UMMZ specimen, see: https://www.gbif.org/occurrence/1889067832 and DiceCT for Fishes: Recommendations for pairing iodine contrast agents with μCT to visualize soft tissues in fishes https://doi.org/10.1111/jfb.15320
- Discipline:
- Science
-
- Creator:
- University of Michigan Museum of Zoology
- Description:
- Scan of specimen ummz:fish:206739 (Ancistrus cirrhosus (Valenciennes, 1836)) - Skull. Reconstructed Dataset includes 1827 TIF images (each 1439 x 1229 x 1 voxel at 0.016076 mm resolution, derived from 1801 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:fish:206739 (Ancistrus cirrhosus (Valenciennes, 1836)) - Skull. Raw Dataset includes 1801 TIF images (each 1439 x 1229 x 1 voxel at 0.01607582 mm resolution, derived from 1801 scan projections), xtek and vgi files for volume reconstruction.
- Keyword:
- Animalia, Chordata, Siluriformes, Loricariidae, Ancistrus cirrhosus (Valenciennes, 1836), 1889108051, computed tomography, X-ray, 3D, and DiceCT
- Citation to related publication:
- For more information on the original UMMZ specimen, see: https://www.gbif.org/occurrence/1889108051 and DiceCT for Fishes: Recommendations for pairing iodine contrast agents with μCT to visualize soft tissues in fishes https://doi.org/10.1111/jfb.15320
- Discipline:
- Science
-
- Creator:
- University of Michigan Museum of Zoology
- Description:
- Scan of specimen ummz:fish:165173 (Noturus gyrinus (Mitchill, 1817)) - Skull. Raw Dataset includes 1801 TIF images (each 1376 x 1066 x 1 voxel at 0.01759152 mm resolution, derived from 1801 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:fish:165173 (Noturus gyrinus (Mitchill, 1817)) - Skull. Reconstructed Dataset includes 1511 TIF images (each 1376 x 1066 x 1 voxel at 0.017592 mm resolution, derived from 1801 scan projections), xtek and vgi files for volume reconstruction.
- Keyword:
- Animalia, Chordata, Siluriformes, Ictaluridae, Noturus gyrinus (Mitchill, 1817), 1889067832, computed tomography, X-ray, 3D, and DiceCT
- Citation to related publication:
- For more information on the original UMMZ specimen, see: https://www.gbif.org/occurrence/1889067832 and DiceCT for Fishes: Recommendations for pairing iodine contrast agents with μCT to visualize soft tissues in fishes https://doi.org/10.1111/jfb.15320
- Discipline:
- Science