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13,017 results for “Positionning”
FIGURES 260–266. Thraulodes quevedoensis. 260–261 in Systematic position of Thraulodes Ulmer 1920 (Ephemeroptera: Leptophlebiidae) and descriptions of new and little-known species
FIGURES 260–266. Thraulodes quevedoensis. 260–261, genitalia of male imago with focus on penis and on styliger; 262, right half of subimaginal exuviae of mesonotum; 263–264, male imago in ventral and lateral view; 265, abdominal terga and sterna of male imago; 266, apex of fore wing.
FIGURES 198–202. Thraulodes schlingeri. 198–199 in Systematic position of Thraulodes Ulmer 1920 (Ephemeroptera: Leptophlebiidae) and descriptions of new and little-known species
FIGURES 198–202. Thraulodes schlingeri. 198–199, male imago in lateral and ventral view; 200, penis in apical view; 201, penis in ventral view; 202, left half of subimaginal exuviae of mesonotum.
FIGURES 156–168 in Systematic position of Thraulodes Ulmer 1920 (Ephemeroptera: Leptophlebiidae) and descriptions of new and little-known species
FIGURES 156–168. Thraulodes viviparus sp. n. 156, pterostigma; 157–159, head and thorax of male imago in lateral in ventral and dorsal view; 160–161, fore and hind legs of male imago; 162–164, female imago in ventral in dorsal and lateral view; 165, left half of subimaginal exuviae of mesonotum; 166, abdominal terga and sterna; 167–168, penis with focus on dorsal and ventral side (156–161, 165–168, holotype).
FIGURES 133–142 in Systematic position of Thraulodes Ulmer 1920 (Ephemeroptera: Leptophlebiidae) and descriptions of new and little-known species
FIGURES 133–142. Thraulodes panamensis sp. n. 133, pterostigma; 134–136, male imago in lateral in ventral and dorsal view; 137–138, left half of subimaginal exuviae of mesonotum of two different specimens; 139, female imago; 140–141, genitalia in lateral and ventral view; 142, costal margin of fore wing (arrows show proximal costal cross veins) (133, 134, 136, 137, 141, 142, holotype).
FIGURES 232–239. Thraulodes marreroi. 232–234 in Systematic position of Thraulodes Ulmer 1920 (Ephemeroptera: Leptophlebiidae) and descriptions of new and little-known species
FIGURES 232–239. Thraulodes marreroi. 232–234, male imago in dorsal, ventral and lateral view; 235, left half of subimaginal exuviae of mesonotum; 236–239, male imaginal genitalia in apical, dorsal ventral and lateral view.
FIGURES 70–85 in Systematic position of Thraulodes Ulmer 1920 (Ephemeroptera: Leptophlebiidae) and descriptions of new and little-known species
FIGURES 70–85. Thraulodes telegraphicus, larval exuviae (70–82 at the same magnification): 70–75, right half of pronotum and mesonotum; 76, head with labrum and mandibles; 77–78 and 79–80, fore and hind legs of two specimens; 81–82, abdominal terga; 83, anterior side of hind femur; 84, anterior side of fore tibia; 85, anterior side of hind tibia. Abbreviations: i-a.r, inneranterior row of stout setae; o-a.r, outer-anterior row of stout setae; o-p.r, outer-posterior row of stout setae.
FIGURES 174–189. Thraulodes schlingeri. 174–184 in Systematic position of Thraulodes Ulmer 1920 (Ephemeroptera: Leptophlebiidae) and descriptions of new and little-known species
FIGURES 174–189. Thraulodes schlingeri. 174–184, larval exuviae at the same magnification: 174, head with labrum and mandibles; 175, right pronotum and mesonotum; 176, part of sternum and left pleura with half of metanotum and hind protopteron, left fore, middle and hind legs; 177, abdominal terga and sterna; 178–184, tergalii I–VII; 185, immature larva (with ocher and whitish cuticular coloration and blackish paired hypodermal markings on abdomen); 186, anterior side of hind femur; 187, anterior side of fore tibia; 188, hind tibia with focus on outer-posterior row of stout setae; 189, the same with focus on outeranterior and inner-anterior rows of stout setae.
FIGURE5. Maximum likelihood tree based on the Kimura 2-parameter model of the COI sequences from the Siphamia species with P. kauderni as the outgroup. Tree shown here has the highest log likelihood following 10 000 replications. The percentage of trees in which the associated taxa clustered together is shown next to the branches, branch lengths are measured in the number of substitutions per site and all positions containing gaps and missing data have been eliminated. in Redescription and distributional range extension of the Speckled Siphonfish, Siphamia guttulata (Pisces: Apogonidae)
FIGURE5. Maximum likelihood tree based on the Kimura 2-parameter model of the COI sequences from the Siphamia species with P. kauderni as the outgroup. Tree shown here has the highest log likelihood following 10 000 replications. The percentage of trees in which the associated taxa clustered together is shown next to the branches, branch lengths are measured in the number of substitutions per site and all positions containing gaps and missing data have been eliminated.
Research data supporting article "Recurrent horizontal transfer identifies mitochondrial positive selection in a transmissible cancer"
<p>Gene expression data supporting analyses described in the article "Recurrent horizontal transfer identifies mitochondrial positive selection in a transmissible cancer" (Strakova et al., 2020).</p>
Fig. 2 in Molecular Phylogeny of Coprophanaeus (Megaphanaeus) d'Olsoufieff, 1924 (Coleoptera: Scarabaeidae: Scarabaeinae) and the position of C. bellicosus
Fig. 2. Distribution map of examined specimens of Megaphanaeus species. White bordered symbols represent localities from where fresh specimens were collected for DNA extractions.
Fig. 1 in Molecular Phylogeny of Coprophanaeus (Megaphanaeus) d'Olsoufieff, 1924 (Coleoptera: Scarabaeidae: Scarabaeinae) and the position of C. bellicosus
Fig. 1. Frontal view of Megaphanaeus species: A) ♂ Coprophanaeus lancifer (Juína, MT), B) ♂ Coprophanaeus ensifer (Cláudia, MT), C) ♂ Coprophanaeus bonariensis (Chapada dos Guimarães, MT) and D) ♂ Coprophanaeus bellicosus (Morretes, PR). Scale: 1 cm.
Perch positioning affects laying hen locomotion and forces experienced at the keel - FULL DATA SET
<p>Full data set for publication in Animals</p> <p><strong>Perch positioning affects laying hen locomotion and forces experienced at the keel</strong></p> <p><em>Christina Rufener, Ana K. Rentsch, Ariane Stratmann, Michael J. Toscano</em></p>
kendyteng/cat_obsity_attitude: Positive attitudes towards feline obesity are strongly associated with ownership of obese cats
<p>This repository contains the data for the paper: Positive attitudes towards feline obesity are strongly associated with ownership of obese cats</p>
Code and dataset for: Cell position fates and collective fountain flow in bacterial biofilms revealed by light-sheet microscopy
<p>Dataset and codes for: Cell position fates and collective fountain flow in bacterial biofilms revealed by light-sheet microscopy.</p> <p>Published online via First Release, <strong>11 June 2020</strong></p> <p>B. Qin et al., Science, 10.1126/science.abb8501 (2020).</p> <p> </p>
Datasets and Supporting Materials for the IPIN 2019 Competition Track 4 (Foot-Mounted IMU based Positioning, off-site)
<p>This package contains the datasets and supplementary materials used in the IPIN 2019 Competition (Pisa , Italy).</p> <p><strong>Contents:</strong></p> <ol> <li>track4_ipin2019competition.pdf: Call for competition including the technical annex describing the competition </li> <li>01-Logfiles: This folder contains 2 zip files.<br> - HKB08.zip : for sensors bias estimation.<br> - HKB21.zip : for trajectory estimation.<br> Each archive contains 4 files :<br> - HKBxx_mag.csv : magnetometer data<br> - HKBxx_sti.csv : inertial data<br> - HKBxx_ublox.ubx : GNSS data<br> - HKBxx_INFO.txt : info file<br> see track4_ipin2019competition.pdf for more details.</li> <li>02-Supplementary_Materials: This folder contains the datasheet files of the different sensors.</li> <li>03-Evaluation: This folder contains the scripts used to calculate the competition metric, the 75th percentile on all evaluation points. The ground truth is provided csv file.</li> </ol> <p><strong>Please, cite the following works when using the datasets included in this package:</strong></p> <ul> <li>Ortiz, M.; Perul, J.; Torres-Sospedra, J. Renaudin, V. Datasets and Supporting Materials for the IPIN 2019 Competition Track 4 (Foot-Mounted IMU based Positioning, off-site), Zenodo 2019 <a href="http://dx.doi.org/10.5281/zenodo.3937220">http://dx.doi.org/10.5281/zenodo.3937220</a></li> </ul> <p><strong>Additional information can be found at:</strong></p> <ul> <li><a href="http://ipin-conference.org/2019/competition.html">http://ipin-conference.org/2019/competition.html</a></li> </ul> <p><strong>For any further questions about the database and this competition track, please contact to: </strong></p> <ul> <li> <p>Miguel Ortiz (<a href="mailto:miguel.ortiz@univ-eiffel.fr">miguel.ortiz@univ-eiffel.fr</a>) at the University Gustave Eiffel, France.</p> <p> </p> </li> </ul>
Multi-slot BLE raw database for accurate positioning in mixed indoor/outdoor environments
<p>This database presents the measurements of RSSI over BLE signals for indoor positioning applications. The experiments were done in the Physics and Mathematics building of the University of Extremadura. In the collection procedure, three different deployments were used with three smartphones for each one. Supporting material to load and work with the database is also provided with Matlab scripts.</p> <p>Further information about the dataset can be found in Multi-slot BLE raw database for accurate positioning in mixed indoor/outdoor environments, Data, 2020.</p>
Data from: Transcriptome sequencing reveals signatures of positive selection in the spot-tailed earless lizard
<p><span><span><span><span><span><span><span><span><span><span><span>The continual loss of threatened biodiversity is occurring at an accelerated pace. High-throughput sequencing technologies are now providing opportunities to address this issue by aiding in the generation of molecular data for many understudied species of high conservation interest. Our overall goal of this study was to begin building the genomic resources to continue investigations and conservation of the Spot-Tailed Earless lizard. Here we leverage the power of high-throughput sequencing to generate the liver transcriptome for the Northern Spot-Tailed Earless Lizard (<i>Holbrookia lacerata</i>)<i> </i>and Southern Spot-Tailed Earless Lizard (<i>Holbrookia</i> <i>subcaudalis</i>), which have declined in abundance in the past decades, and their sister species, the Common Lesser Earless Lizard (<i>Holbrookia maculata</i>). Our efforts produced high quality and robust transcriptome assemblies validated by <b>1</b>) quantifying the number of processed reads represented in the transcriptome assembly and <b>2</b>) quantifying the number of highly conserved single-copy orthologs that are present in our transcript set using the BUSCO pipeline. We found 1,361 1-to-1 orthologs among the three <i>Holbrookia </i>species, <i>Anolis carolinensis</i>, and <i>Sceloporus undulatus</i>. We carried out dN/dS selection tests using a branch-sites model and identified a dozen genes that experienced positive selection in the <i>Holbrookia</i> lineage with functions in development, immunity, and metabolism. Our single-copy orthologous sequences additionally revealed significant pairwise sequence divergence (~.73%) between the Northern <i>H. lacerata</i> and Southern <i>H.</i> <i>subcaudalis </i>that further supports the recent elevation of the Southern Spot-Tailed Earless Lizard to full species<i>.</i></span></span></span></span></span></span></span></span></span></span></span></p>
Supplementary evaluation files for the paper: Grid-Based Bayesian Filtering Methods for Pedestrian Dead Reckoning Indoor Positioning Using Smartphones
<p>This package contains evaluation supplementary files for the paper: <em>Grid-Based Bayesian Filtering Methods for Pedestrian Dead Reckoning Indoor Positioning Using Smartphones</em> by Miroslav Opiela and František Galčík.</p> <p><strong>Contents: </strong></p> <ul> <li>ground_truth - real positions of checkpoints for given input files</li> <li>input - sensor measurements recordings with initial positions (also after floor transitions) and checkpoint labels </li> <li>maps - processed map models containing positions of points and connections (e.g., walls) in custom coordinate system. Reference to GNSS and map rotation is inducted in maps-meta.xml</li> <li>output - data processed by the localization system. JSON containing the applied method, its configuration, and all estimated positions. Errors for every folder are summarized in the csv file</li> <li>visualization - trajectories visualized for selected output files</li> <li>readme.txt - describes data formats used for particular files in this dataset and summarizes output files</li> </ul> <p><strong>Venues</strong></p> <p>Data are recorded in three buildings:</p> <ul> <li>codename: SA1, SA1_rotated - recorded by the author in the faculty building (Park Angelinum 9, 04001, Košice, Slovakia) using Lenovo tablet</li> <li>codename: AtlantisR0, AtlantisR-1, AtlantisR+1, AtlantisR+2 - the shopping mall Atlantis Le Centre (Boulevard Salvador Allende, 44800 Saint-Herblain, France). Dataset is from IPIN 2018 competition and loc_20180922_160206 is recorded by the author using Xiaomi Mi 5.</li> <li>codename: CNR_0, CNR_1, CNR_2 - the research institute building CNR (Via Giuseppe Moruzzi, 56127 Pisa, Italy). Dataset is from IPIN 2019 competition. </li> </ul> <p><strong>Used datasets</strong></p> <p>A subset of input data is derivated from available logfiles provided by organizers of IPIN 2018 and IPIN 2019 competitions:</p> <ul> <li>Jimenez, A.R.; Mendoza-Silva, G.M.; Ortiz, M.; Perez-Navarro, A.; Perul, J.; Seco, F.; Torres-Sospedra, J. Datasets and Supporting Materials for the IPIN 2018 Competition Track 3 (Smartphone-based, off-site). <a href="http://dx.doi.org/10.5281/zenodo.2823964">http://dx.doi.org/10.5281/zenodo.2823964</a></li> <li>Jiménez, A. R.; Perez-Navarro, A.; Crivello, A.; Mendoza-Silva, G.; Ortiz, M.; Perul, J.; Seco, F. and Torres-Sospedra, J. Datasets and Supporting Materials for the IPIN 2019 Competition Track 3 (Smartphone-based, off-site), Zenodo 2019. <a href="http://dx.doi.org/10.5281/zenodo.3606765">http://dx.doi.org/10.5281/zenodo.3606765</a> </li> </ul> <p><strong>Funding</strong></p> <p>The work was partially supported by the Slovak Grant Agency of the Ministry of Education and Academy of Science of the Slovak Republic under grant no. 1/0056/18 and by the Slovak Research and Development Agency under the contract no. APVV-15-0091.</p> <p><strong>Contact</strong></p> <p>For any further questions, please contact:</p> <p>Miroslav Opiela, miroslav.opiela@upjs.sk Institute of Computer Science, Faculty of Science, P. J. Šafárik University (UPJS), Košice, Slovakia</p>
Comparative analysis of positioning accuracy of Garmin Forerunner wearable GNSS receivers in dynamic testing
<p>Required dataset for the manuscript.</p>
Data from: The dynamic transmission of positional information in stau-mutants during Drosophila embryogenesis.
It has been suggested that Staufen (Stau) is key in controlling the variability of the posterior boundary of the Hb anterior domain (xHb). However, its underlying mechanism is elusive. Here, we quantified the dynamic 3D expression of segmentation genes in Drosophila embryos. With improved control of measurement errors, we show xHb of stau- mutants reproducibly moves posteriorly by 10% of the embryo length (EL) to the wild type (WT) position in the nuclear cycle (nc) 14, and its variability at short time windows is comparable as that of the WT. Moreover, for stau- mutants, the upstream Bicoid (Bcd) gradients show equivalent relative intensity noise to that of the WT in nc12-nc14, and the downstream Even-skipped (Eve) and cephalic furrow (CF) show the same positional errors as the WT. Our results indicate that threshold-dependent activation and self-organized filtering are not mutually exclusive but could both be implemented in early Drosophila embryogenesis.
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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.
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DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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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.
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