The study aims to describe how children worldwide progress through a sequence of theory of mind understandings in their development of insights into persons and minds. The focus is on the studies using Wellman and Liu's (2004) Theory of Mind Scale. A comprehensive search was run in PsycINFO, PsycArticles, Child Development & Adolescent Studies, Education Abstracts, Family & Society Studies Worldwide, and Social Sciences Abstracts. The dataset includes 91 studies using Wellman and Liu's (2004) Theory of Mind Scale.
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.
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.
Tails used as inertial appendages induce body rotations of animals and robots---a phenomenon that is governed largely by the ratio of the body and tail moments of inertia. However, vertebrate tails have more degrees of freedom (e.g., number of joints, rotational axes) than most current theoretical models and robotic tails. To understand how morphology affects inertial appendage function, we developed an optimization-based approach that finds the maximally effective tail trajectory and measures error from a target trajectory. For tails of equal total length and mass, increasing the number of equal-length joints increased the complexity of maximally effective tail motions. When we optimized the relative lengths of tail bones while keeping the total tail length, mass, and number of joints the same, this optimization-based approach found that the lengths match the pattern found in the tail bones of mammals specialized for inertial maneuvering. In both experiments, adding joints enhanced the performance of the inertial appendage, but with diminishing returns, largely due to the total control effort constraint. This optimization-based simulation can compare the maximum performance of diverse inertial appendages that dynamically vary in moment of inertia in 3D space, predict inertial capabilities from skeletal data, and inform the design of robotic inertial appendages.
Xun Fu, Bohao Zhang, Ceri J. Weber, Kimberly L. Cooper, Ram Vasudevan, Talia Y. Moore. (in review) Jointed tails enhance control of three-dimensional body rotation.
This study analyzes correlations between magnetic field data from closely-spaced pairs of ground magnetometers to observe the spatial scale of ionospheric current signatures. Correlations were mainly calculated in 7.5 minute intervals for periods of multiple days. Distributions were taken from the collection of these 7.5 minute intervals to identify the amount of time where the magnetometers were observing "similar" or "different" ionospheric signatures. The raw magnetometer data was taken from two geomagnetic storms: one taking place on 7-8 September, 2017, and the other taking place on 23-24 March, 2023. These periods were selected due to the presence of both high and low geomagnetic activity. The final distributions calculated from this analysis are available in Correlation_Distributions.csv.
Scan of specimen ummz:mammals:97068 (Ammotragus lervia) - Skull. Raw Dataset includes 1601 TIF images (each 1972 x 1578 x 1 voxel at 0.1215074 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:mammals:97068 (Ammotragus lervia) - Skull. Reconstructed Dataset includes 1972 TIF images (each 1972 x 1578 x 1 voxel at 0.121507 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction.
Scan of specimen ummz:mammals:103305 (Eudorcas THOMSONII) - Skull. Raw Dataset includes 1601 TIF images (each 1870 x 924 x 1 voxel at 0.0912381 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:mammals:103305 (Eudorcas THOMSONII) - Skull. Reconstructed Dataset includes 1636 TIF images (each 1870 x 924 x 1 voxel at 0.091238 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction.
Scan of specimen ummz:mammals:125684 (Capreolus capreolus) - Skull. Raw Dataset includes 1601 TIF images (each 1555 x 1967 x 1 voxel at 0.1215076 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:mammals:125684 (Capreolus capreolus) - Skull. Reconstructed Dataset includes 1411 TIF images (each 1555 x 1967 x 1 voxel at 0.121508 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction.
Scan of specimen ummz:mammals:178562 (Ourebia ourebi) - Skull. Raw Dataset includes 1601 TIF images (each 791 x 1671 x 1 voxel at 0.1214979 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:mammals:178562 (Ourebia ourebi) - Skull. Reconstructed Dataset includes 1446 TIF images (each 791 x 1671 x 1 voxel at 0.121498 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction.