This research was completed to statistically validate that a data-model refinement technique could integrate real measurements to remove bias from physics-based models via changing the forcing parameters such as the thermal conductivity coefficients.
Ponder, B. M., Ridley, A. J., Goel, A., & Bernstein, D. S. (2023). Improving forecasting ability of GITM using data-driven model refinement. Space Weather, 21, e2022SW003290. https://doi.org/10.1029/2022SW003290
These files contain the raw data and processing parameters to go with the paper "Hierarchical structure guides rapid linguistic predictions during naturalistic listening" by Jonathan R. Brennan and John T. Hale. These files include the stimulus (wav files), raw data (BrainVision format), data processing parameters (matlab), and variables used to align the stimuli with the EEG data and for the statistical analyses reported in the paper (csv spreadsheet).
and Updates in Version 2:
- data in BrainVision format
- added information about data analysis
- corrected prePROCessing information for S02
Brennan, J. R., & Hale, J. T. (2019). Hierarchical structure guides rapid linguistic predictions during naturalistic listening. PLoS ONE 14(1). e0207741
As part of a larger research study on social sustainability and human rights, this research examines the supplier codes of conduct lead firms adopt to achieve their social supply chain sustainability goals.
Cao, Y., Lawson, B., & Pil, F. K. (2023). Social sustainability and human rights in global supply chains, International Journal of Operations & Production Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJOPM-10-2022-0670.
We present a comprehensive statistical analysis of high-frequency transient-large-amplitude
(TLA) magnetic perturbation events that occurred at 12 high-latitude ground magnetometer
stations throughout solar cycle 24 from 2009 to 2019. TLA signatures are defined as one or
more second-timescale dB/dt interval with magnitude ≥ 6 nT/s within
an hour event window. This study characterizes high-frequency TLA events based on their spatial
and temporal behavior as well as relation to auroral substorms, geomagnetic storm phases and
nighttime geomagnetic disturbance events events (GMD). We show that TLA events occur primarily
at nighttime and solely in the high-latitude region above 60 degrees geomagnetic latitude. The
largest TLA events occurred more often in the declining phase of the solar cycle when solar
wind velocity was higher and ring current activity was lower, suggesting association to
high-speed flows caused by coronal holes and subsequent corotating interaction regions reaching
Earth. TLA perturbations often occurred preceding or within the most extreme nighttime
geomagnetic disturbance (GMD) events with 5-10 minute timescales, but the TLA intervals were
often even more localized than the ~300 km effective radius of GMDs:
occurring at only some of the stations at which GMDs occurred. We show that TLA-related GMD
events can result from dipolarization fronts in the magnetotail and fast flows toward Earth
and are closely temporally associated to poleward boundary intensifications (PBI) and auroral
streamers. The highly localized behavior and connection to the most extreme GMD events suggests
that TLA intervals are a ground manifestation of the features within rapid and complex
ionospheric structures that can drive GICs.
McCuen, B. A., Moldwin, M. B., Engebretson, M. J., Weygand, J. G., Nishimura, Y. (2023). A Statistical Analysis of High-frequency Transient-Large-Amplitude Geomagnetic Disturbance. [To be submitted to] Journal of Geophysical Research: Space Physics
These files contain the raw data and processing parameters to go with the paper "Hierarchical structure guides rapid linguistic predictions during naturalistic listening" by Jonathan R. Brennan and John T. Hale. These files include the stimulus (wav files), raw data (matlab format for the Fieldtrip toolbox), data processing paramters (matlab), and variables used to align the stimuli with the EEG data and for the statistical analyses reported in the paper.
Brennan JR, Hale JT (2019) Hierarchical structure guides rapid linguistic predictions during naturalistic listening. PLoS ONE 14(1): e0207741. https://doi.org/10.1371/journal.pone.0207741
Reconstructed CT slices for tooth in bone fragment of Colognathus obscurus (University of Michigan Museum of Paleontology catalog number UMMP 7506) 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.
Healthy full-term infants were enrolled in a longitudinal study designed to examine the development of infant eating behavior. Infant weight and length was measured, mothers completed questionnaires regarding infant eating behaviors, and infants were weighed and length measured at ages 1, 2, 4, 6 and 10 months. Trajectories of eating behaviors were identified using latent class growth modeling and bivariate analyses examined associations of infant eating behavior trajectory membership with infant and maternal characteristics. Cross-lagged analyses examined associations between BEBQ subscales and infant weight-for-length z-score.
Harlan McCaffery, Julie Zaituna, Sophie Busch, Niko Kaciroti, Alison L. Miller, Julie C. Lumeng, Katherine L. Rosenblum, Ashley Gearhardt, Megan H. Pesch, Developmental trajectories of eating behaviors and cross-lagged associations with weight across infancy, Appetite, 2023, 106978
The dataset is organized as follows: the data for each of the three target structures is contained within a directory with the structure name (e.g., kagome, pyrocholore and snub-square). Within each structure directory, data obtained from alchemical and self-assembly simulations are separated into alchem and self-assembly directories respectively. An additional suboptimal-self-assembly directory is only present for the snub-square structure and contains the data for the pattern registration analysis discussed in the SI. For a detailed description of each file contained within each directory, please refer to the README file.
Rivera-Rivera, LY, Moore, TC & SC Glotzer. Inverse design of triblock Janus spheres for self-assembly of complex structures in the crystallization slot via digital alchemy. Soft Matter, 2023, 19, 2726-2736 doi: 10.1039/d2sm01593e
Goals of this work quantify repeatability and reproducibility across multiple NIH/NCI Co-Clinical Imaging Research Resources Program (CIRP) preclinical MRI systems in performing diffusion measurement using a standardized acquisition protocol on a shared phantom containing temperature-controlled medium of known diffusivity. To achieve these goals, the CIRP Image Acquisition Data Processing (IADP) working group (WG) performed a round-robin study of an ice water-based DWI phantom using a detailed phantom preparation procedure and standardized DWI acquisition protocol, with both site- and core-lab generated ADC measurements derived from shared datasets.
Identifying the functional traits that enable recovery after extreme events is necessary for assessing forest persistence and functioning, yet this is a difficult task because the traits mediating the responses to disturbance may vary depending on the disturbance type and over time. This study investigates the effects of traits on tree growth –for short and longer terms– in response to two vastly different extreme climatic events, droughts, and hurricanes, in a Puerto Rican forest.
Umaña, M. N. In review. The interplay of drought and hurricanes on tree recovery: insights from dynamic and weak functional responses. Forthcoming and Umana, M. (2023). Functional trait data across an elevational gradient of six tree species in El Yunque National Park, Puerto Rico in 2015 [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/7962-4t98