During its trajectory, Wind spent a significant amount of time in the magnetotail, where its SupraThermal Ion Composition Spectrometer (STICS) measured the mass and mass per charge of protons, alpha particles, and heavy ions with an energy/charge ratio up to 226 keV/e. Although STICS originally aimed to measure the abundance of these ion species in the solar wind, its measurements within the magnetosphere from 1995 to 2002 help us identify preferential entry between the different solar wind ion species. This study statistically analyzes how the ratio between solar wind heavy ions and alpha particles (Heavies Solar Wind / He2+) varies for different upstream conditions and locations within the magnetosphere: northward vs. southward Interplanetary Magnetic Field (IMF), low vs. high solar wind density (Nsw), low vs. high solar wind dynamic pressure (PDyn), slow vs. fast solar wind (Vsw), and dawn vs. dusk. Our results indicate that the HeaviesSolar Wind enter the magnetosphere more efficiently than He2+ during northward IMF and that the Heavies Solar Wind / He2+ ratios decrease during high PDyn. In addition, the Heavies Solar Wind / He2+ ratios exhibit a dawn-dusk asymmetry, highly skewed towards the dawn side for all upstream cases likely due to charge-exchange processes.
Colón-Rodríguez, S., Liemohn, M. W., & Raines, J. M (2024). Solar wind heavy ions and alpha particles within Earth’s magnetosphere and their variability with upstream conditions. Journal of Geophysical Research Space Physics. In preparation.
This dataset includes a catalog of events for the 2019 Ridgecrest, CA earthquake sequence with calibrated relative moment magnitude estimates. We include results from all cases described in Gable and Huang 2024b.
Gable, S.L., and Y. Huang (2024). Quantifying Magnitude Uncertainty of the 2019 Ridgecrest Earthquake Sequence Through a Sensitivity Study of the Relative Magnitude Method. Bull. Seismol. Soc. Am. (in production)
We study the pathophysiology of spinal cord decompression sickness. We saturated ex-vivo bovine spinal cord tissue with nitrogen, partially decompressed the samples to induce bubble formation, and then probed the mechanical response of the surrounding tissue by pressure-cycling.
Reconstructed CT slices for Cranium of Castoroides (University of Michigan Museum of Paleontology catalog number UMMP VP 3110) as a series of TIFF images. Raw projections are not included in this dataset. The reconstructed slice data resulting from a merge of two separate scans are offered here as a series of unsigned 16-bit integer TIFF images. There may be slight differences in voxel grey values between the two parts. The upper left corner of the first image (*_0000.tif) is the XYZ origin.
Reconstructed CT slices for Cranium of Castoroides (University of Michigan Museum of Paleontology catalog number UMMP VP 3110) 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.
Reconstructed CT slices for Cranium of Castoroides (University of Michigan Museum of Paleontology catalog number UMMP VP 3110) 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.
The survival and beta models forecasting ice cover around the Apostle Island National Lakeshore use Lake Superior surface water temperature data collected from the Great Lakes Environmental Research Laboratory (GLERL). GLERL hosts Lake Superior surface water temperature data pre-1995 from the Large Lake Thermodynamics Model (LLTM) and post-1995 from the Great Lakes Surface Environmental Analysis (GLSEA). The pre-1995 data is currently being moved and is unavailable from GLERL, and therefore, the (entire) surface water temperature record used by the models is hosted here. Please see the methods for direct data access links.
The LLTM, the source of the pre-1995 data, is described in Croley II, T. E., & Assel, R. A. (1994). A one-dimensional ice thermodynamics model for the Laurentian Great Lakes. Water Resources Research, 30(3), 625–639. Documentation on GLSEA can be found on their website.
The data sources and methods used to process the raw data are described in the paper forthcoming in Science and the associated Supplementary Information. A preprint for an earlier version of this paper is available here: https://osf.io/preprints/socarxiv/754e3. These data are anonymized (see Methodology for details). Consequently, running the same code on these data vs. the data in the paper does not yield *identical* results but qualitatively similar ones.
J. M. Z. Dumlao, M. Teplitskiy, Science, forthcoming. and Zumel Dumlao, J. M. and M. Teplitskiy. 2023. “The Effect of Reviewer Geographical Diversity on Evaluations Is Reduced by Anonymizing Submissions”. Retrieved (osf.io/preprints/socarxiv/754e3).
Data provided in this record were collected in the course of studying the genetic basis of differences in wing pigmentation and wing display between Drosophila elegans and Drosophila gunungcola.
Citation to related publication:
Massey, J. H., Rice, G. R., Firdaus, A. S., Chen, C.-Y., Yeh, S.-D., Stern, D. L., & Wittkopp, P. J. (2020). Co-evolving wing spots and mating displays are genetically separable traits in Drosophila. Evolution, 74(6), 1098–1111. https://doi.org/10.1111/evo.13990
