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Data from: Extrapolating body masses in large terrestrial vertebrates
Despite more than a century of interest, body-mass estimation in the fossil record remains contentious, particularly when estimating the body mass of taxa outside the size scope of living animals. One estimation approach uses humeral and femoral (stylopodial) circumferences collected from extant (living) terrestrial vertebrates to infer the body masses of extinct tetrapods through scaling models. When applied to very large extinct taxa, extant-based scaling approaches incur obvious methodological extrapolations leading some to suggest that they may overestimate the body masses of large terrestrial vertebrates. Here, I test the implicit assumption of such assertions: that a quadratic model provides a better fit to the combined humeral and femoral circumferences-to-body mass relationship. I then examine the extrapolation potential of these models through a series of subsetting exercises in which lower body-mass sets are used to estimate larger sets. Model fitting recovered greater support for the original linear model, and a nonsignificant second-degree term indicates that the quadratic relationship is statistically linear. Nevertheless, some statistical support was obtained for the quadratic model, and application of the quadratic model to a series of dinosaurs provides lower mass estimates at larger sizes that are more consistent with recent estimates using a minimum convex-hull (MCH) approach. Given this consistency, a quadratic model may be preferred at this time. Still, caution is advised; extrapolations of quadratic functions are unpredictable compared with linear functions. Further research testing the MCH approach (e.g., the use of a universal upscaling factor) may shed light on the linear versus quadratic nature of the relationship between the combined femoral and humeral circumferences and body mass.
Data from: Extrapolating body masses in large terrestrial vertebrates
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FIGURE 3 in Quantifying vertebrate zoogeographical regions of Australia using geospatial turnover in the species composition of mammals, birds, reptiles and terrestrial amphibians
FIGURE 3. Phytogeographical subregions of Australia (Ebach et al. 2015), based on the analysis by González-Orozco et al. (2014b).
FIGURE 6 in Quantifying vertebrate zoogeographical regions of Australia using geospatial turnover in the species composition of mammals, birds, reptiles and terrestrial amphibians
FIGURE 6. The Bassian subregion as proposed by Main et al. (1958). Note that the Bassian includes the South-West Australia subregion.
FIGURE 2 in Quantifying vertebrate zoogeographical regions of Australia using geospatial turnover in the species composition of mammals, birds, reptiles and terrestrial amphibians
FIGURE 2. Map of Australia with the location of the 3 Clusters and their corresponding Subclusters (a-c) in relation to the regions.
The impact of impervious surface expansion in Indonesia from 1992 to 2020 on terrestrial vertebrates
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FIGURE 5 in Quantifying vertebrate zoogeographical regions of Australia using geospatial turnover in the species composition of mammals, birds, reptiles and terrestrial amphibians
FIGURE 5. Faunal subregions of Australia by Spencer (1896).
FIGURE 7 in Quantifying vertebrate zoogeographical regions of Australia using geospatial turnover in the species composition of mammals, birds, reptiles and terrestrial amphibians
FIGURE 7. The interim zoogeographic dominions of Australia.
Supplementary Data from "Relative effects of land conversion and land-use intensity on terrestrial vertebrate diversity"
<p>These tif-files contain gridded supplementary data produced for the publication " Relative effects of land conversion and land-use intensity on terrestrial vertebrate diversity".</p> <p>2010_area_incl_fallow_### depict the area of the respective land-use type in km2 in each grid cell.</p> <p>2010_HANPPharv_pc_### depict the land-use intensity based on intensity indicator 1 of the respective land-use type in proportion of NPPpot in each grid cell.</p>
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Allen Brain Atlas
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.