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6,452 results for “Application”
FIGURE 9 in Species delimitation and name application in Deyeuxia abnormis, Agrostis zenkeri, A. pleiophylla and related taxa (Poaceae: Agrostidinae)
FIGURE 9. Holotype of Agrostis zenkeri (LE in Hb. Trinius).
Acoustic video cameras multi-species multi-cameras Validation Dataset (VD) for Deep Learning applications
<p>This video dataset, called also VD (Validation Dataset), is designed to test/validate, on a real-world case, deep learning models to identify fish species in sonar camers video flux. It includes data from two different type of cameras (ARIS and DIDSON), two sites (Touques and Selune rivers in Normandy, France), 6 different fishes classes (Atlantic Salmon, European Eel, Sea Lamprey, Allis Shad, European Catfish and generic unidentified fish). This dataset is composed by around 40h of videos, to test the efficiency of the models in the frame of ecological studies and to assess their real-applicability on monitoring sites data. Two sheets are given as the ground truth in which all fish passages (for fish sizes larger than 20 cm) are annotated. No bounding boxes are given.</p>
HeteroFuzz: Fuzz Testing to Detect Platform Dependent Divergence for Heterogeneous Applications
<p>HeteroFuzz supplementary material.</p>
Figure 2 in Application of species-richness estimators for the assessment of earthworm diversity
Figure 2. Ordination of localities according to non-metric multidimensional scaling.
movement in A 3D interactive method for estimating body segmental parameters in animals: Application to the turning and running performance of Tyrannosaurus rex
movement
mass properties in A 3D interactive method for estimating body segmental parameters in animals: Application to the turning and running performance of Tyrannosaurus rex
mass properties
Figure 3 in Field application of six commercial essential oils against Date Palm mite, Phyllotetranychus aegypticus (Acari: Tenuipalpidae) in Egypt
Figure 3. Regression linear modeling of the relationship across temperature, untreated mite population (control), and treatments of commercial oils during season of 2018.
FIGURE 15 in Three new species of Collembola (Arthropoda: Hexapoda) from Central Brazilian shallow caves: side effects of long term application of environmental law on conservation
FIGURE 15. Arrhopalites glabrofasciatus sp. nov.: fragment of abdomen with trichobothrial complex.
FIGURE 16 in Three new species of Collembola (Arthropoda: Hexapoda) from Central Brazilian shallow caves: side effects of long term application of environmental law on conservation
FIGURE 16. Arrhopalites glabrofasciatus sp. nov.: chaetotaxy of female Abd VI.
FIGURE 14 in Three new species of Collembola (Arthropoda: Hexapoda) from Central Brazilian shallow caves: side effects of long term application of environmental law on conservation
FIGURE 14. Arrhopalites glabrofasciatus sp. nov.: chaetotaxy of great abdomen.
FIGURE 13 in Three new species of Collembola (Arthropoda: Hexapoda) from Central Brazilian shallow caves: side effects of long term application of environmental law on conservation
FIGURE 13. Arrhopalites glabrofasciatus sp. nov.: view of Abd VI and furca/
FIGURE 1 in Three new species of Collembola (Arthropoda: Hexapoda) from Central Brazilian shallow caves: side effects of long term application of environmental law on conservation
FIGURE 1. Arrhopalites glabrofasciatus sp. nov.: habitus of female mounted in slide.
Face-to-face panel meetings versus remote evaluation of fellowship applications
<p>The data shared here has been used in the following paper: https://bmjopen.bmj.com/content/11/5/e047386.full</p> <ul> <li>proposal_id: an anonymise identifier for the proposal</li> <li>panel_id: an id referencing to the panel in which the proposal was evaluated</li> <li>referee1: grade given by referee number 1, on a 6-point scale (A, AB, B, BC, C, D)</li> <li>referee2: grade given by referee number 2, on a 6-point scale (A, AB, B, BC, C, D)</li> <li>triage: triage group of the proposal (F: funded, R: rejected, D: discussion)</li> <li>final_decision_ref: final decision using the reference method (F: funded, R: rejected)</li> <li>random_selection_ref: random selection using the reference method (TRUE/FALSE)</li> <li>final_decision_test_2r: final decision using the test method with two referees (F: funded, R: rejected)</li> <li>random_selection_test_2r: random selection using the test method with two referees (TRUE/FALSE)</li> <li>referee3: : grade given by referee number 3, on a 6-point scale (A, AB, B, BC, C, D)</li> <li>final_decision_test_3r: final decision using the test method with three referees (F: funded, R: rejected)</li> <li>random_selection_test_3r: random selection using the test method with three referees (TRUE/FALSE)</li> </ul>
Data from: Geographical patterns in phylogenetic diversity of Chinese woody plants and its application for conservation planning
<p><b>Aim:</b> Biodiversity hotspots are widely used as conservation priorities to preserve the tree of life. However, many conservation practices identify biodiversity hotspots without considering phylogenetic diversity (PD), which reflects total evolutionary history and feature diversity of a region. Moreover, conservation planning rarely distinguishes between neo- and paleo-biodiversity hotspots despite their differences. Here, we 1) estimated large-scale patterns in PD of woody plants, 2) identified neo- and paleo-biodiversity hotspots, and 3) demonstrated their implication in conservation planning, with special focus on Hengduan Mountains and southern China.</p> <p><b>Location: </b>China.</p> <p><b>Methods: </b>Distributions of 11,405 woody species from the <i>Atlas of Woody Plants in China</i> were updated, and were transformed into a grid of 50 × 50 km<sup>2</sup>. By integrating distribution maps with a genus-level phylogeny of angiosperms, <span>we estimated Faith's PD of each grid cell and evaluated </span>the contribution of species relatedness to PD at given levels of species diversity (i.e. standardized PD, sPD) using <span>regressions </span>and three null models. Then we identified areas with significantly lower or higher sPD than expected as neo- and paleo-hotspots and estimated the coverage of protected areas in these regions.</p> <p><b>Results:</b> Species diversity and PD decreased towards the north. Southern China had high species diversity, PD and sPD, while Hengduan Mountains had high species diversity and PD but low sPD. The coverage of protected areas in southern China was less than half of that in Hengduan Mountains and entire China.</p> <p><b>Main conclusions:</b> Our results identified Hengduan Mountains as a neo-hotspot and southern China as a paleo-hotspot, highlighting their importance for biodiversity conservation. Compared to Hengduan Mountains, southern China has low coverage of protected areas, which calls for more conservation attention. Our study demonstrates a way of incorporating the phylogenetic component in the identification of neo- and paleo-hotspots, and hence of achieving a more complete perception of biodiversity patterns for conserving the tree of life.</p>
Dataset associated to: Controlling the Carbon-Bio Interface via Glycan Functional Adlayers for Applications in Microbial Fuel Cell Bioanodes
<p>This file contains the dataset associated to the published research article "Controlling the Carbon-Bio Interface via Glycan Functional Adlayers for Applications in Microbial Fuel Cell Bioanodes". The dataset contains Atomic Force Microscopy, electrochemistry, Microbial Fuel Cells power output, water contact angle and quartz crystal microbalance raw data from their relative instruments. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 799175 (HiBriCarbon). This publication has also emanated from research conducted with the financial support of Science Foundation Ireland under Grant No. 13/CDA/2213 and 19/FFP/6761. The authors thank the France-Ireland PHC ULYSSES programme for support, project 36028UB. F.B. thanks Rennes Métropole for the co-funding of a Quartz Crystal Microbalance. T.P. thanks Région Bretagne for the co-funding of his PhD.</p>
Dataset for the paper "Fast Multi-Distance Time-Domain NIRS and DCS System for Clinical Applications"
Open the record for dataset details and reuse information.
Figure 1 from: Ardura A, Planes S, Garcia-Vazquez E (2013) Applications of DNA barcoding to fish landings: authentication and diversity assessmente. ZooKeys 365: 49-65. https://doi.org/10.3897/zookeys.365.6409
Figure 1 - Summary of population genetic diversity retrieved fromeach mitochondrial region separately (12S rDNA, COI, cyt b, D-Loop), from the coding and from all regions concatenated (All), in the four case studies. Mean (standard deviation as vertical bars) is provided for Nh/n, Hd and π (mean number of different haplotypes per species, haplotype diversity and nucleotide diversity respectively).
Figure 26 from: Akkari N, Koon-Bong Cheung D, Enghoff H, Stoev P (2013) Revolving SEM images visualising 3D taxonomic characters: application to six species of the millipede genus Ommatoiulus Latzel, 1884, with description of seven new species and an interactive key to the Tunisian members of the genus (Diplopoda, Julida, Julidae). ZooKeys 328: 5-45. https://doi.org/10.3897/zookeys.328.5763
Figure 26 - Ommatoiulus khroumiriensis sp. n. paratype, left posterior gonopod. Interactive SEM image. [Morphbank # 831016–831034]
Figures 20-25 from: Akkari N, Koon-Bong Cheung D, Enghoff H, Stoev P (2013) Revolving SEM images visualising 3D taxonomic characters: application to six species of the millipede genus Ommatoiulus Latzel, 1884, with description of seven new species and an interactive key to the Tunisian members of the genus (Diplopoda, Julida, Julidae). ZooKeys 328: 5-45. https://doi.org/10.3897/zookeys.328.5763
Figures 20-25 - Ommatoiulus khroumiriensis sp. n. paratypes, gonopod structures. 20 Right promerite, posterior view 21 Right posterior gonopod, mesal view 22 Right posterior gonopod, lateral view 23 Right posterior gonopod, meso-posterior view 24 Right posterior gonopod, anterior-mesal view 25 Right posterior gonopod,anterior view. Abbreviations: ap distal process of the promerite, ap2 lobed process, Co coxite, ds distal process of the solenomerite, F fovea, g seminal groove, hp3, hp4 distal processes of the solenomerite, i lateral incision of the promerite, mp blunt mesal process, M mesal ridge, Ms mesomerite, n notch of the solenomerite, pr triangular subapical process of the solenomerite, Px paracoxite, S solenomerite. Scale bar: 0.1 mm.
Figure 13 from: Akkari N, Koon-Bong Cheung D, Enghoff H, Stoev P (2013) Revolving SEM images visualising 3D taxonomic characters: application to six species of the millipede genus Ommatoiulus Latzel, 1884, with description of seven new species and an interactive key to the Tunisian members of the genus (Diplopoda, Julida, Julidae). ZooKeys 328: 5-45. https://doi.org/10.3897/zookeys.328.5763
Figure 13 - Ommatoiulus crassinigripes sp. n. paratype,right posterior gonopod. Interactive rotating SEM image. [Morphbank # 831189–831207]
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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.