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358 results for “fine-scale”
Figure 4 from: Piry S, Berthier K, Streiff R, Cros-Arteil S, Foucart A, Tatin L, Bröder L, Hochkirch A, Chapuis M-P (2018) Fine-scale interactions between habitat quality and genetic variation suggest an impact of grazing on the critically endangered Crau Plain grasshopper (Pamphagidae: Prionotropis rhodanica). Journal of Orthoptera Research 27(1): 61-73. https://doi.org/10.3897/jor.27.15036
Figure 4 Relationships between intra-circle grasshopper density and A. Loiselle kinship coefficient, B. expected heterozygosity and C. FIS.
Figure 7 from: Piry S, Berthier K, Streiff R, Cros-Arteil S, Foucart A, Tatin L, Bröder L, Hochkirch A, Chapuis M-P (2018) Fine-scale interactions between habitat quality and genetic variation suggest an impact of grazing on the critically endangered Crau Plain grasshopper (Pamphagidae: Prionotropis rhodanica). Journal of Orthoptera Research 27(1): 61-73. https://doi.org/10.3897/jor.27.15036
Figure 7 Spatial cross-correlograms between A. grasshopper density and NDVI, B. grasshopper density and the mean genetic differentiation between individuals (MAPI cell values) and, C. NDVI and the mean genetic differentiation between individuals. The x-intercept of the spline-correlogram is the estimate of the distance at which the correlation between variables is not different than expected by chance alone. Dotted lines represent the 95% confidence envelope based on 500 bootstrap resamples.
Figure 1 from: Piry S, Berthier K, Streiff R, Cros-Arteil S, Foucart A, Tatin L, Bröder L, Hochkirch A, Chapuis M-P (2018) Fine-scale interactions between habitat quality and genetic variation suggest an impact of grazing on the critically endangered Crau Plain grasshopper (Pamphagidae: Prionotropis rhodanica). Journal of Orthoptera Research 27(1): 61-73. https://doi.org/10.3897/jor.27.15036
Figure 1 Map of France and location of A. the plain of Crau (Bouches-du-Rhône, France), B. the sampling site located between the sheepfolds 'La Grosse du Levant' and 'La Grosse du Centre', and C. the circles surveyed to detect and sample P. rhodanica. A00-A65: names of circles of the grid A; B04-B51: names of circles of the grid B; C1: additional circle of 100 m diameter (see Material and methods).
Figure 6 from: Piry S, Berthier K, Streiff R, Cros-Arteil S, Foucart A, Tatin L, Bröder L, Hochkirch A, Chapuis M-P (2018) Fine-scale interactions between habitat quality and genetic variation suggest an impact of grazing on the critically endangered Crau Plain grasshopper (Pamphagidae: Prionotropis rhodanica). Journal of Orthoptera Research 27(1): 61-73. https://doi.org/10.3897/jor.27.15036
Figure 6 Maps of A. density of grasshopper in number of individuals per hectare, B. rescale NDVI values and C. mean genetic differentiation between individuals resulting from the MAPI analysis.
Figure 3 from: Piry S, Berthier K, Streiff R, Cros-Arteil S, Foucart A, Tatin L, Bröder L, Hochkirch A, Chapuis M-P (2018) Fine-scale interactions between habitat quality and genetic variation suggest an impact of grazing on the critically endangered Crau Plain grasshopper (Pamphagidae: Prionotropis rhodanica). Journal of Orthoptera Research 27(1): 61-73. https://doi.org/10.3897/jor.27.15036
Figure 3 Illustrations of the Coussoul habitat of Prionotropis rhodanica with A. sheep accompanied by cattle egrets and B. researchers surveying the species using a circle-based method.
Figure 5 from: Piry S, Berthier K, Streiff R, Cros-Arteil S, Foucart A, Tatin L, Bröder L, Hochkirch A, Chapuis M-P (2018) Fine-scale interactions between habitat quality and genetic variation suggest an impact of grazing on the critically endangered Crau Plain grasshopper (Pamphagidae: Prionotropis rhodanica). Journal of Orthoptera Research 27(1): 61-73. https://doi.org/10.3897/jor.27.15036
Figure 5 Linear regression between genetic distance â and geographical distances computed between pairs of individuals. Variation in point density is represented by colors, from blue (low density) to red (high density).
Code for paper 'Advances in Surface Water and Ocean Topography for Fine-Scale Eddy Identification from Altimeter Sea Surface Height Merging Maps'
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Data from: Fine-scale spatial genetic structure across the species range reflects recent colonization of high elevation habitats in silver fir (Abies alba Mill.)
<p class="western"><span>Variation in genetic diversity across species ranges has long been recognized as highly informative for assessing populations' resilience and adaptive potential. The spatial distribution of genetic diversity within populations, referred to as fine-scale spatial genetic structure (FSGS), also carries information about recent demographic changes, yet it has rarely been connected to range scale processes. We studied eight silver fir (<i>Abies alba </i>Mill.<i>)</i> population pairs (sites), growing at high and low elevations, representative of the main genetic lineages of the species. A total of 1368 adult trees and 540 seedlings were genotyped using 137 and 116 single nucleotide polymorphisms (SNPs), respectively. Sites revealed a clear east-west isolation-by-distance pattern consistent with the post-glacial colonization history of the species. Genetic differentiation among sites (<i>F</i><sub>CT</sub>=0.148) was an order of magnitude greater than between elevations within sites (<i>F</i><sub>SC</sub>=0.031), nevertheless high elevation populations consistently exhibited a stronger FSGS. Structural equation modeling revealed that elevation and, to a lesser extent, post-glacial colonization history, but not climatic and habitat variables, were the best predictors of FSGS across populations. These results suggest that high elevation habitats have been colonized more recently across the species range. Additionally, paternity analysis revealed a high reproductive skew among adults and a stronger FSGS in seedlings than in adults, suggesting that FSGS may conserve the signature of demographic changes for several generations. Our results emphasize that spatial patterns of genetic diversity within populations provide information about demographic history complementary to non-spatial statistics, and could be used for genetic diversity monitoring, especially in forest trees.</span></p>
Fine-scale phylogeography of coastal fishes in the South China Sea: Possible roles of biological traits and geography
<p>This dataset contains input files for a suite of phylogeographic analyses conducted on several coastal fishes in the South China Sea, results of which described in the paper "Fine-scale phylogeography of coastal fishes in the South China Sea: Possible roles of biological traits and geography", submitted to Journal of Biogeography.</p> <p>Outline of each analysis is as follows:</p> <p>arlequin: Estimations of genetic diversity indices and genetic differentiation using Arlequin.</p> <p>BSP: Reconstruction of historical demography using a Bayesian skyline plot implemented in BEAST.</p> <p>MSN: Construction of minimum spanning networks using PopART.</p> <p>BMS: Testing association between genetic diversity indices and biological traits by Bayesian Model Averaging using the R package 'bms'. </p> <p>PCF: Testing association between phylogeographic patterns and bilogical traits using Phylogeographic Concordance Factors.</p> <p>See readme.txt in the folder for each analysis for more detail.</p> <p> </p>
Data from: Fine-scale spatial and temporal population genetics of Aedes japonicus, a new US mosquito, reveal multiple introductions
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Data from: Genetic and evolutionary correlates of fine-scale recombination rate variation in Drosophila persimilis
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Data from: Fine-scale vertical stratification and guild composition of saproxylic beetles in lowland and montane forests: similar patterns despite low faunal overlap
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Data from: Fine-Scale Mapping of Recombination Rate in Drosophila Refines its Correlation to Diversity and Divergence
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Data from: Causes and consequences of fine-scale population structure in a critically endangered freshwater seal
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Fine-scale root community structure in the field: species aggregations change with root density
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Data from: Fine-scale assessment of genetic diversity of trembling aspen in northwestern North America
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Data from: Don’t throw out the sympatric speciation with the crater lake water: fine-scale investigation of introgression provides equivocal support for causal role of secondary gene flow in one of the clearest examples of sympatric speciation
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Data from: Color-biased dispersal inferred by fine-scale genetic spatial autocorrelation in a color polymorphic salamander
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Recording fine-scale movement of ground beetles by two methods: Potentials and methodological pitfalls
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Data from: Outlier SNP markers reveal fine-scale genetic structuring across European hake populations (Merluccius merluccius)
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ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.