The four specimens (GSI SR/YS/1, GSI SR/YS/2, GSI SR/YS/3, and GSI SR/YS/4) are identified as tail clubs that are attributed to the basal sauropod Kotasaurus yamanpalliensis. The specimens were collected by the Geological Survey of India Southern Region (GSI SR) and, in 2018, the specimens were studied as a collaboration between GSI SR and the University of Michigan Museum of Paleontology. The specimens are housed in the collections of the GSI SR (Hyderabad, India).
Kareem, T. A., S. Chakraborty, and J. A. Wilson Mantilla. (in prep.) Sauropod tail clubs from the Kota Formation (Early to Middle Jurassic) of India and their implications for early sauropod evolution. Journal of Vertebrate Paleontology
The matlab code, digital elevation data, and landslide volume data here support the findings of Medwedeff et al. (2024) in JGR: Earth Surface. In this article, we study past landslides to understand how the strength of rocks and soil vary across the landscape and below the ground. We develop a matlab-based model that uses the length, width, slope angle, and thickness of landslides that have occurred in the past to estimate how strong the rock or soil was before it gave way. We improve upon previous studies by using elevation data from before and after landslides occurred to measure how thick the sliding mass was for each landslide. The thickness measurements help us understand how the strength of the ground changes as a function of depth below the surface, like for example, when rocks get weaker near the surface due to increased weathering. We apply our model to landslides that occurred during earthquakes in Greece and Nepal, and we compare the results to rock strength field data. In addition to our model code, we include in this data repository the landslide volume and elevation data for Nepal and Greece that we used to run our model for this study.
Medwedeff, W.G., Clark, M.K., Zekkos, D. (in review 2024) Regional Back-Analysis of Earthquake Triggered Landslide Inventories: a 2D Method for Estimating Rock Strength from Remote Sensing Data. In review in JGR Earth Surface.
These materials are SPSS datasets and syntax files related to a project investigating the weight given to various moral domains when forming impressions of others. We looked at how participants' impressions of the moral character of social targets varied when provided with information that those targets behaved in ways that upheld or violated various moral domains. Following this, we also looked at whether participants' willingness to cooperate with a target changed based on those behaviors, and whether judgments following information about the social targets remained robust under cognitive load.
The research that produced this data tested how sleep loss impacted the phenomena of reactivation and replay, which occurs when recently-learned information is reactivated/replayed during post-learning sleep/rest.
This dataset is part of a research project that aims to study how bark and wood traits shape species ecological strategies at the seedling stage in four tropical forests in Colombia. These forests are located in the municipalities of Jabiru (Tolima), Cotove (Antioquia), Colorados (Bolivar) and Tyrona (Magdalena). Detailed information on the location of these forests can be found in: https://doi.org/10.1111/ele.13659
This collection contains estimates of the water balance of the Laurentian Great Lakes that were produced by the Large Lakes Statistical Water Balance Model (L2SWBM). Each data set has a different configuration and was used as the supplementary for a published peer-reviewed article (see "Citations to related material" section in the metadata of individual data sets). The key variables that were estimated by the L2SWBM are (1) over-lake precipitation, (2) over-lake evaporation, (3) lateral runoff, (4) connecting-channel outflows, (5) diversions, and (6) predictive changes in lake storage. and Contact: Andrew Gronewold
Office: 4040 Dana
Phone: (734) 764-6286
Email: drewgron@umich.edu
Smith, J. P., & Gronewold, A. D. (2017). Development and analysis of a Bayesian water balance model for large lake systems. arXiv preprint arXiv:1710.10161., 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., and Do, H.X., Smith, J., Fry, L.M., and Gronewold, A.D., Seventy-year long record of monthly water balance estimates for Earth’s largest lake system (under revision)
This data was produced by the site-based archaeological survey at the nuraghe S'Urachi in west-central Sardinia (San Vero Milis, Oristano, Sardinia). The survey was carried out from 2015-2017 as a part of the ongoing Progetto S'Urachi, an archaeological project that aims to understand daily life around the monumental Bronze Age tower of S'Urachi during the later occupation of the landscape over the course of the 1st millennium BCE.
