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1,473 results for “Geographic distribution”
Data for: Combining stable isotopes, trace elements, and distribution models to assess the geographic origins of migratory bats
<p>The expansion of industrial-scale wind-energy facilities has increased the production of low-carbon emission energy but has also resulted in mortality of wildlife, including migratory bats. Management decisions can be limited by a lack of understanding of the geographic impact of bats killed at wind-energy facilities. Several studies have leveraged stable hydrogen isotope ratios (δ<sup>2</sup>H) of bat fur to illuminate this issue but are limited in the precision of conclusion because δ<sup>2</sup>H values vary primarily across latitudinal and elevational bands. One approach to increase the precision of geographic assignment is to combine independent inferences about spatial location from additional biomarkers and other related information. To test this possibility, we assigned known-origin individuals of three bat species commonly killed at on-shore wind-energy facilities in North America (<em>Lasiurus</em> <em>borealis</em>, <em>L</em>. <em>cinereus</em>, and <em>Lasionycteris</em> <em>noctivagans</em>) to probable origin using δ<sup>2</sup>H values, trace element concentrations, and species distribution models. We used cross-validation calibrated combined model tuning to determine the degree to which assignment probabilities improved when combining datasets. We found that combining markers typically performed better than single approaches. For <em>L. borealis</em> and <em>L. cinereus</em>, combining all three data sources outperformed any single or other combined approach. With an accuracy set at 80%, an average of 39.7% and 36.0% of each species' total geographic range was considered a potential origin, respectively; stable hydrogen alone included 51.8% and 50.6% of the total geographic area. In contrast, for <em>L. noctivagans</em>, including trace elements did not increase precision, and adding distribution data to δ<sup>2</sup>H values only improved precision by 0.6%. Thus, we found that a combination of multiple biomarkers typically, but not always, outperforms single marker approaches, and optimized combinations of different markers outperform equal weighting of each marker. From a practical perspective, δ<sup>2</sup>H values performed better than trace elements alone; in cases where cost is a limiting factor, the stable hydrogen should be the single biomarker used in conjunction with species distribution models. Overall, these results highlight the importance of validating methods for each species they are applied to and show that combining information from intrinsic biomarker approaches is a useful tool to document bat movements.</p>
Body size and geographic distribution of foraminiferal specimens during the Frasnian-Famennian (Frasnian), Guadalupian-Lopingian (Capitanian), Permian-Triassic (Changhsingian), Triassic-Jurassic (Rhaetian), and Cretaceous-Paleogene (Maastrichtian) mass extinctions.
<p>This dataset is about body size and geographic distribution of foraminiferal specimens during the Frasnian-Famennian (Frasnian), Guadalupian-Lopingian (Capitanian), Permian-Triassic (Changhsingian), Triassic-Jurassic (Rhaetian), and Cretaceous-Paleogene (Maastrichtian) mass extinctions.</p> <p>Foraminiferal body size data collection</p> <p>First, we collected published papers with foraminiferal images from the Frasnian (382.7-372.2 Ma), Capitanian (264.28-259.51 Ma), Changhsingian (254.14-251.902 Ma), Rhaetian (208.5-201.3 Ma), and Maastrichtian (72.1-66.1 Ma). Second, we measured two primary axes of specimens, such as maximum length and height in a conical or cylindrical shell. For some specimens, where there is no way to measure the length of both axes, we calculate the length of the unknown axis based on the aspect ratio of the type species. Third, we used the test volume as a standard indicator of body size, taking into account the diversity of foraminiferal morphology. Finally, the test volumes were calculated on a logarithmic scale with base 10 due to large individual differences, and the specific calculation is shown in Feng et al. (2020).</p>
FIGURES 3–6. 3 in Contribution to the Cimicidae (Hemiptera: Heteroptera) fauna from Argentina: biology and geographical distribution
FIGURES 3–6. 3, Propicimex tucmatiani (Wygodzinsky, 1951), a male found at INTA Delta Station, dorsal view. 4, Same individual, terminalia. 5, Terminalia of a conspecific female from the same collecting event. 6, Rock formation at El Trébol Lagoon, west of San Carlos de Bariloche, Río Negro (41.065°S, 71.495°W) examined looking for the presence of Bertilia valdiviana in December 2018.
FIGURES 1–2. 1 in Contribution to the Cimicidae (Hemiptera: Heteroptera) fauna from Argentina: biology and geographical distribution
FIGURES 1–2. 1, Colony of Tadarida brasiliensis at the building of the Law Faculty (National University of Rosario, Argentina). 2, Cluster with juveniles in the bat colony of Tadarida brasiliensis (National University of Rosario, Argentina)
FIGURE 4. Eocyzicus saharicus. A, head. B, shell pattern. C–D, telson. E, left clasper. F in Mapping the Geographic Distribution of Large Branchiopods in Algeria and a checklist update
FIGURE 4. Eocyzicus saharicus. A, head. B, shell pattern. C–D, telson. E, left clasper. F, dorsal portion of the abdomen.
FIGURE 2 in Mapping the Geographic Distribution of Large Branchiopods in Algeria and a checklist update
FIGURE 2. Distribution map of Algerian large branchiopods recorded in this study and in previous studies.
FIGURE 1 in Mapping the Geographic Distribution of Large Branchiopods in Algeria and a checklist update
FIGURE 1. Map of the study area. A, sampled sites in the Hauts plateau. B, sampled sites in the Northern Sahara. C, sampled sites in the Tassili N'Ajje.
A new method for runoff forecasting in ungauged areas based on the Xinanjiang model incorporating multiple spatial geographical distribution data
<p>This dataset includes two parts:</p> <p>(1) The SHP format layer data of 256 watersheds in North America and 2 watersheds in ChinaThe SHP format layer data of 256 watersheds in North America and 2 watersheds in China.</p> <p>(2) A reference meta-watershed database of spatial data was established, covering a spatial database of 256 watersheds. This provides a data foundation for runoff forecasting in other ungauged watersheds.</p>
Data from: Genetic differentiation in the stingless bee, Scaptotrigona xanthotricha Moure, 1950 (Apidae, Meliponini): a species with wide geographic distribution in the Atlantic rainforest
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The geographic distribution of the imperiled Barrens Darter, Etheostoma forbesi, and threats of hybridization with the closely related Fringed Darter, Etheostoma crossopterum.
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Data from: Richness, geographic distribution patterns, and areas of endemism of selected angiosperm groups in Mexico
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Data from: Extensive sympatry, cryptic diversity and introgression throughout the geographic distribution of two coral species complexes
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Data from: Geographic distribution of the invasive cattle tick Rhipicephalus microplus, a country-wide survey in Benin
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Data from: Condition-specific competition governs the geographic distribution and diversity of ectoparasites
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Data from: Ecological niche modeling as a tool for prediction of the potential geographic distribution of Bacillus anthracis spores in Tanzania
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Data from: Description of a new species of Hedruris Nitzsch, 1821 (Nematoda, Hedruridae) from freshwater turtles in Argentina, with information on its life cycle and a review of the genus’s host and geographic distribution
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Data from: Performance of forest bryophytes with different geographical distributions transplanted across a topographically heterogeneous landscape
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Data for: Combining stable isotopes, trace elements, and distribution models to assess the geographic origins of migratory bats
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Data from: Phylogenomic insights and geographic distribution of the New World genus Amphibolips Reinhard (Hymenoptera: Cynipidae, Cynipini) using ultraconserved elements
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Data from: Museums and cradles of diversity are geographically coincident for narrowly distributed Neotropical snakes
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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.