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
Warning signals in chemically defended organisms are critical components of predator-prey interactions, often requiring multiple coordinated display components for a signal to be effective. When threatened by a predator, venomous coral snakes (genus Micrurus) display a vigorous, non-locomotory thrashing behaviour that has been only qualitatively described. Given the high-contrast and often colourful banding patterns of these snakes, this thrashing display is hypothesized to be a key component of a complex aposematic signal under strong stabilizing selection across species in a mimicry system.
By experimentally testing snake response across simulated predator cues, we analysed variation in the presence and expression of a thrashing display across five species of South American coral snakes.
Although the major features of the thrash display were conserved across species, we found significant variation in the propensity to perform a display at all, the duration of thrashing, and the curvature of snake bodies that was mediated by predator cue type, snake body size, and species identity. We also found an interaction between curve magnitude and body location that clearly shows which parts of the display vary most across individuals and species.
Our results suggest that contrary to the assumption in the literature that all species and individuals perform the same display, a high degree of variation persists in thrashing behaviour exhibited by Micrurus coral snakes despite presumably strong selection to converge on a common signal. This quantitative behavioural characterization presents a new framework for analysing the non-locomotory motions displayed by snakes in a broader ecological context, especially for signalling systems with complex interaction across multiple modalities.
Moore, T. Y., Danforth, S. M., Larson, J. G., & Davis Rabosky, A. R. (2020). A Quantitative Analysis of Micrurus Coral Snakes Reveals Unexpected Variation in Stereotyped Anti-Predator Displays Within a Mimicry System. Integrative Organismal Biology, 2(1). https://doi.org/10.1093/iob/obaa006
These are modeling results of the thermospheric and ionospheric response to the solar eclipse of August 21, 2017. The results are discussed in a research paper published in the Journal of Geophysical Research (doi: 10.1029/2018JA026402) .
Citation to related publication:
Cnossen, I., Ridley, A. J., Goncharenko, L. P., and Harding, B. J.. ( 2019), The response of the ionosphere‐thermosphere system to the August 21, 2017 solar eclipse. J. Geophys. Res. Space Physics, 124. https://doi.org/10.1029/2018JA026402
Model simulations were conducted to investigate the role of soil moisture on the terrestrial carbon and water cycles. The data are composed of NetCDF files generated by the simulations that contain the data variables analyzed in the paper. and CLM5 Documentation - http://www.cesm.ucar.edu/models/cesm2/land/.
Santos, T. dos, Keppel-Aleks, G., Roo, R. D., & Steiner, A. L. (2021). Can Land Surface Models Capture the Observed Soil Moisture Control of Water and Carbon Fluxes in Temperate-To-Boreal Forests? Journal of Geophysical Research: Biogeosciences, 126(4), e2020JG005999. https://doi.org/10.1029/2020JG005999
