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3,225 results for “Case of study”
FIGURES 1–8 in Cryptic diversity and phylogeography of high alpine Sattleria — a case study combining DNA barcodes and morphology (Lepidoptera: Gelechiidae)
FIGURES 1–8. Adults of Sattleria. 1–2, S. melalecuella (Constant), 1, 3, 2, Ƥ; 3, S. karsholti sp. nov., 3, holotype; 4, S. cottiella sp. nov., 3, holotype; 5, S. izoardi Huemer & Sattler, 3; 6, S. graiaeella sp. nov., 3, holotype; 7, S. basistrigella Huemer, 3; 8, S. triglavica Povolný, 3.
FIGURES 13–16 in Cryptic diversity and phylogeography of high alpine Sattleria — a case study combining DNA barcodes and morphology (Lepidoptera: Gelechiidae)
FIGURES 13–16. Male genitalia of Sattleria. 13, S. pyrenaica (Petry), slide GEL 279; 14, S. cottiella sp. nov., paratype, slide GEL 1144; 15, S. izoardi Huemer, holotype, slide GEL 1145; 16, S. marguareisi Huemer & Sattler, paratype, slide GEL 150.
FIGURES 9–12 in Cryptic diversity and phylogeography of high alpine Sattleria — a case study combining DNA barcodes and morphology (Lepidoptera: Gelechiidae)
FIGURES 9–12. Male genitalia of Sattleria. 9, S. melaleucella (Constant), slide LMP 76; 10, ditto, slide LMP 102; 11, S. arcuata Pitkin & Sattler, paratype, slide GEL 159; 12, S. karsholti sp. nov., paratype, slide LMP 71.
FIGURES 28–31 in Cryptic diversity and phylogeography of high alpine Sattleria — a case study combining DNA barcodes and morphology (Lepidoptera: Gelechiidae)
FIGURES 28–31. Male genitalia of Sattleria (details of valva-vinculum complex). 28, S. cottiella sp. nov., paratype, slide GEL 1144; 29, ditto, paratype, slide GEL 1146; 30, S. izoardi Huemer & Sattler, holotype, slide GEL 1145; 31, ditto, slide GEL 1049.
FIGURES 24–27 in Cryptic diversity and phylogeography of high alpine Sattleria — a case study combining DNA barcodes and morphology (Lepidoptera: Gelechiidae)
FIGURES 24–27. Male genitalia of Sattleria (details of valva-vinculum complex). 24, S. karsholti sp. nov., paratype, slide LMP 74; 25, ditto, paratype, slide LMP 71; 26, S. melalecuella (Constant), slide LMP 76; 27, ditto, slide LMP 102.
FIGURES 21–23 in Cryptic diversity and phylogeography of high alpine Sattleria — a case study combining DNA barcodes and morphology (Lepidoptera: Gelechiidae)
FIGURES 21–23. Male genitalia of Sattleria. 21, S. breviramus Pitkin & Sattler, slide GEL 154; 22, S. stryriaca Pitkin & Sattler, paratype, slide 91/230 P.H.; 23, S. angustispina Pitkin & Sattler, paratype, slide CG 84.
FIGURE 36 in Cryptic diversity and phylogeography of high alpine Sattleria — a case study combining DNA barcodes and morphology (Lepidoptera: Gelechiidae)
FIGURE 36. Neighbour joining tree of the Sattleria (Kimura 2 Parameter) based on sequences of the mtDNA COI gene (barcode fragment 5', 658 bp), except for S. arcuata (307 bp) and S. dzieduszyckii (623 bp).
Is the isotopic composition of precipitation a robust indicator for reconstructions of past tropical cyclones frequency? A case study on Réunion Island from rain and water vapor isotopic observations
<p>Isotopic composition of precipitation and water vapor and LMDZ-iso and ECHAM6-wiso simulations associated with the manuscript:</p> <p>Françoise Vimeux, Camille Risi, Christelle Barthe, Sören François, Alexandre Cauquoin, Olivier Jossoud, Jean-Marc Metzger, Olivier Cattani, Bénédicte Minster, and Martin Werner (2024). Is the isotopic composition of precipitation a robust indicator for reconstructions of past tropical cyclones frequency? A case study on Réunion Island from rain and water vapor isotopic observations. Journal of Geophysical Research: Atmospheres, 129, e2023JD039794. https://doi.org/10.1029/2023JD039794</p>
Data from: geo-genomic predictors of genetree heterogeneity explain phylogeographic and introgression history: a case study in an Amazonian bird (Thamnophilus aethiops)
<p>Can knowledge about genome architecture inform biogeographic and phylogenetic inference? Selection, drift, recombination, and gene flow interact to produce a genomic landscape of divergence wherein patterns of differentiation and genealogy vary nonrandomly across the genomes of diverging populations. For instance, genealogical patterns that arise due to gene flow should be more likely to occur on smaller chromosomes, which experience high recombination, whereas those tracking histories of geographic isolation (reduced gene flow caused by a barrier) and divergence should be more likely to occur on larger and sex chromosomes. In Amazonia, populations of many bird species diverge and introgress across rivers, resulting in reticulated genomic signals. Herein, we used reduced representation genomic data to disentangle the biogeographic history of four populations of an Amazonian antbird, Thamnophilus aethiops, whose biogeographic history was associated with the dynamic evolution of the Madeira River Basin. Specifically, we evaluate whether a large river capture event ca. 200 kya, gave rise to reticulated genealogies in the genome by making spatially explicit predictions about isolation and gene flow based on knowledge about genomic processes. We first estimated chromosome-level phylogenies and recovered two primary topologies across the genome. The first topology (T1) was most consistent with predictions about population divergence, and was recovered for the Z chromosome. The second (T2), was consistent with predictions about gene flow upon secondary contact. To evaluate support for these topologies, we trained a convolutional neural network to classify our data into alternative diversification models and estimate demographic parameters. The best-fit model was concordant with T1 and included gene flow between non-sister taxa. Finally, we modeled levels of divergence and introgression as functions of chromosome length, and found that smaller chromosomes experienced higher gene flow. Given that (1) gene-trees supporting T2 were more likely to occur on smaller chromosomes and (2) we found lower levels of introgression on larger chromosomes (and especially the Z-chromosome), we argue that T1 represents the history of population divergence across rivers and T2 the history of secondary contact due to barrier loss. Our results suggest that a significant portion of genomic heterogeneity arises due to extrinsic biogeographic processes such as river capture interacting with intrinsic processes associated with genome architecture. Future biogeographic studies would benefit from accounting for genomic processes, as different parts of the genome reveal contrasting, albeit complementary histories, all of which are relevant for disentangling the intricate biogeographic mechanisms of biotic diversification.</p>
Input data and scenarios outputs of the Water Resources Research paper "Optimal economic spatial and temporal allocation of green and grey investment to address water security threats : Case Study - Velhas River Basin, Brazil"
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Case Study Scenarios (CSS) 9 for Filament
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Can participation in a hackathon impact the motivation of software engineering students? A preliminary case study analysis
<p>This public dataset covers the answers to both pre-hackathon and post-hackathon surveys. Additionally, we offer basic descriptive and inferential statistics related to the provided data.</p>
Case Study Scenarios (CSS) 7 for Southern Hemisphere Winter
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Case Study Scenarios (CSS) 4 for Volcanic Eruption
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Case Study Scenarios (CSS) 10 for the Asian Summer Monsoon
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Case Study Scenarios (CSS) 5 for Stratospheric Sudden Warming
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Case Study Scenarios (CSS) 3 for Biomass Burning for Limb Nadir application
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Case Study Scenarios (CSS) 1 for OSSE of tropopause fold
<p>These are the simulated CAIRT ozone profiles for the period 15/Nov/2021-1/Feb/2022 using, in the following order:</p><ul><li>CAMS hlqd control run simulation as reference ozone field</li><li>sim_CAIRT_grid.py to generate CAIRT retrieval grid (i.e. the geolocation of the CAIRT profiles)</li><li>BASCOE_MAO to interpolate CAMS hlqd 3-hourly output at CAIRT geolocation</li><li>FL2S to perturb CAMS@CAIRT ozone according to CAIRT expected performences (using the AK, the systematic and the random error) and add error bar to the ozone profiles.</li></ul><p>These are the ozone profiles assimilated by BASCOE for the Observing System Simulation Experiment (OSSE) discussed in CAIRT Report for Assessment (RfA).</p>
Figure 5 in Coding characters from different life stages for phylogenetic reconstruction: a case study on dragonfly adults and larvae, including a description of the larval head anatomy of Epiophlebia superstes (Odonata: Epiophlebiidae)
Figure 5. The single most-parsimonious trees from the TNT analyses: A, matrix AC (artificial coding; tree length, L = 113; consistency index, CI = 79; retention index, RI = 77); B, matrix NMC, applying non-multistate coding and preferring the adult character state over the larval state in the case of character state conflict (L = 89; CI = 88; RI = 83); C, matrix MC, applying a multistate coding strategy in cases of conflict between larval and adult morphology (L = 57; CI = 91; RI = 85); D, matrix SC, coding larval and adult characters seperately within the same taxon (L = 159; CI = 88; RI = 82). Non-homoplasious character changes are indicat- ed with black squares; homoplasious characters are indicated with white squares. Trait numbers are indicated above squares, state changes below. The 'M' below the character state changes in (C) indicates a multistate character optimized as an autapomorphy. For trait references, see Table S1 and Table S6; for detailed trees, see Figure S7.
Figure 4 in Coding characters from different life stages for phylogenetic reconstruction: a case study on dragonfly adults and larvae, including a description of the larval head anatomy of Epiophlebia superstes (Odonata: Epiophlebiidae)
Figure 4. SEM micrographs and three-dimensional reconstructions of the maxillae, labium, and hypopharynx of Epiophlebia superstes. A, ventral view of the maxilla, scale bar: 1 mm. B, ventral view of the maxilla, with musculature shown. C, dorsal view of the maxilla. D, dorsal view of the maxilla, with musculature shown. E, labium in dorsal view. Scale bar: 1 mm. E1, detail of the apical area of the labium. Scale bar: 500 μm. E2, detail of E1. Scale bar: 5 μm. F, musculature of the labium and hypopharynx in dorsolateral view. G, musculature of the labium and hypopharynx in lateral view. Abbreviations: ca, cardo; dse, dentisetae; eh, end hook; hyp, hypopharnyx; inc, incisivi; lac, lacinia; lp, labial palpus; mh, moveable hook; ml, median lobe; mp, maxillar palpus; pm, postmentum; prm, prementum; set, setae; st, stipes; trod, T-shaped cuticular rod. For muscle references see text and Table S2.
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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)
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.