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13,017 results for “Positionning”
Figure 1 in Taxonomic position of and generic distinction between Parepactophanes Kunz, 1935 and Taurocletodes Kunz, 1975 (Copepoda, Canthocamptidae incertae sedis), with description of a new species from the Black Sea
Figure 1. Taurocletodes tumenae sp. nov. A, habitus ♂, dorsal. B, habitus ♂, lateral. C, habitus ♀, dorsal. D, habitus ♀, lateral.
IMPORTANCE OF BASKETBALL FREE-THROW SHOOTING TECHNIQUE ON ITS EFFECTIVENESS AMONG PLAYERS OF DIFFERENT POSITIONS IN THE UZBEKISTAN CHAMPIONSHIP AMONG THE WOMEN'S TEAMS OF THE HIGHEST LEAGUE
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THE IMPORTANCE OF POSITIVE AND NEGATIVE RELIGIOUS COPING STYLES IN MENTAL HEALTH AMONG BULLIED AND NON-BULLIED STUDENTS IN INDONESIA
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Supplementary material 1 from: de Mestier A, Campos Pineda E, Cedeño Fonseca M, Ortiz OO (2023) A new species of Casearia Jacq. (Salicaceae) from Central Panama and insights into its phylogenetic position within the genus. PhytoKeys 236: 97-112. https://doi.org/10.3897/phytokeys.236.108651
Taxa used for molecular analysis
Supplementary material 4 from: de Mestier A, Campos Pineda E, Cedeño Fonseca M, Ortiz OO (2023) A new species of Casearia Jacq. (Salicaceae) from Central Panama and insights into its phylogenetic position within the genus. PhytoKeys 236: 97-112. https://doi.org/10.3897/phytokeys.236.108651
Annotated alignment of nuclear region (GBSSI and ITS)
Supplementary material 6 from: de Mestier A, Campos Pineda E, Cedeño Fonseca M, Ortiz OO (2023) A new species of Casearia Jacq. (Salicaceae) from Central Panama and insights into its phylogenetic position within the genus. PhytoKeys 236: 97-112. https://doi.org/10.3897/phytokeys.236.108651
Summary of characters and tree statistics and evolutionary models for each dataset
Supplementary material 5 from: de Mestier A, Campos Pineda E, Cedeño Fonseca M, Ortiz OO (2023) A new species of Casearia Jacq. (Salicaceae) from Central Panama and insights into its phylogenetic position within the genus. PhytoKeys 236: 97-112. https://doi.org/10.3897/phytokeys.236.108651
Matrix of nuclear regions (GBSSI and ITS) including the indel partition
Supplementary material 2 from: de Mestier A, Campos Pineda E, Cedeño Fonseca M, Ortiz OO (2023) A new species of Casearia Jacq. (Salicaceae) from Central Panama and insights into its phylogenetic position within the genus. PhytoKeys 236: 97-112. https://doi.org/10.3897/phytokeys.236.108651
Annotated alignment of five concatenated plastid regions (rps4-trnL-F, trnK-matK, rpl16, petD)
Data and Code Files for Dalponti et al. Climate Affects the Correlated Evolution of Body Size and Trophic Position in Fishes
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Datasets of positive and negative miRNA-target interactions
<p>MicroRNAs (miRNAs) are small non-coding RNAs that regulate gene expression post-transcriptionally via base-pairing with complementary sequences on messenger RNAs (mRNAs). Computational approaches that predict miRNA target interactions (MTIs) facilitate the process of narrowing down potential targets for experimental validation. The availability of new datasets of high-throughput, direct MTIs has led to the development of machine learning (ML) based methods for MTI prediction. To train an ML algorithm, there is a need to supply entries from all class labels (i.e., positive and negative). Currently, no high-throughput assays exist for capturing negative examples, hindering effective classifier construction. Therefore, current ML approaches must rely on artificially generated negative examples for training. Moreover, the lack of uniform standards for generating such data leads to biased results and hampers comparisons between studies. We investigated the impact of different methods to generate negative data on the classification of true MTIs. The study relies on training ML models on a fixed positive dataset in combination with different negative datasets and evaluating their intra- and cross-dataset performance. As a result, we were able to examine each method independently and evaluate ML models’ sensitivity to the methodologies utilized in negative data generation.</p> <p>This data includes all the negative datasets generated by the different methods and the positive data that was used (folder Data.zip).<br>In addition, we uploaded all the train and test files that we used to train and test the models (folder Train_Test_files.zip).</p>
Supplementary material 1 from: Hasegawa N, Hookabe N, Fujiwara Y, Jimi N, Kajihara H (2024) Supplemental re-description of a deep-sea ascidian, Fimbrora calsubia (Ascidiacea, Enterogona), with an inference of its phylogenetic position. Zoosystematics and Evolution 100(1): 129-140. https://doi.org/10.3897/zse.100.113132
Video 1. A close encounter with the deep-sea ascidian
Supplementary material 2 from: Hasegawa N, Hookabe N, Fujiwara Y, Jimi N, Kajihara H (2024) Supplemental re-description of a deep-sea ascidian, Fimbrora calsubia (Ascidiacea, Enterogona), with an inference of its phylogenetic position. Zoosystematics and Evolution 100(1): 129-140. https://doi.org/10.3897/zse.100.113132
Video 2. Grabbing the ascidian with the manipulator of Shinkai 6500
Figure 5 from: Hasegawa N, Hookabe N, Fujiwara Y, Jimi N, Kajihara H (2024) Supplemental re-description of a deep-sea ascidian, Fimbrora calsubia (Ascidiacea, Enterogona), with an inference of its phylogenetic position. Zoosystematics and Evolution 100(1): 129-140. https://doi.org/10.3897/zse.100.113132
Figure 5 Phylogenetic relationship of 28 ascidian species; a Maximum-Likelihood tree, based on a concatenated dataset consisting of 18S rRNA (1676 bp) and COI (1136 bp) genes. Bootstrap values and posterior probabilities are indicated if they are higher than 60% and 0.70, respectively. Macrophagous species are indicated with an asterisk (*).
Figure 4 from: Hasegawa N, Hookabe N, Fujiwara Y, Jimi N, Kajihara H (2024) Supplemental re-description of a deep-sea ascidian, Fimbrora calsubia (Ascidiacea, Enterogona), with an inference of its phylogenetic position. Zoosystematics and Evolution 100(1): 129-140. https://doi.org/10.3897/zse.100.113132
Figure 4 Fimbrora calsubia Monniot & Monniot, 1991a (JAMSTEC No. 111618), photographs of fixed specimen. A. Sinistero-posterior portion of body, viewed from outside, showing alimentary canal and reproductive system; B. Cross section of stomach, showing the prey crustacean (probably a copepod); arrows indicating stomach folds; C. Gonads; D. Magnification of the rectangle on C, showing an ovary containing multiple eggs.
Figure 3 from: Hasegawa N, Hookabe N, Fujiwara Y, Jimi N, Kajihara H (2024) Supplemental re-description of a deep-sea ascidian, Fimbrora calsubia (Ascidiacea, Enterogona), with an inference of its phylogenetic position. Zoosystematics and Evolution 100(1): 129-140. https://doi.org/10.3897/zse.100.113132
Figure 3 Fimbrora calsubia Monniot & Monniot, 1991a (JAMSTEC No. 111618). A. Drawing of dissected specimen, showing the shape of neural-gland aperture, peripharyngeal band and dorsal lamina; B. Photograph of dissected pharynx cut open from ventral side; C. Magnification of the rectangle on B, showing the arrangement of longitudinal vessels, transverse vessels, stigmata and secondary branchial papillae (indicated with arrows).
Figure 2 from: Hasegawa N, Hookabe N, Fujiwara Y, Jimi N, Kajihara H (2024) Supplemental re-description of a deep-sea ascidian, Fimbrora calsubia (Ascidiacea, Enterogona), with an inference of its phylogenetic position. Zoosystematics and Evolution 100(1): 129-140. https://doi.org/10.3897/zse.100.113132
Figure 2 Fimbrora calsubia Monniot & Monniot, 1991a, photographs showing external appearance of JAMSTEC No. 111618. A. The individual in situ (white arrow), attaching to a dead sponge (yellow arrowhead) along with a euplectellid glass sponge (yellow arrow); B. Left view in life; C. Inner surface of the oral siphon in fixed state; D. Enlarged view of atrial siphon in life.
Figure 1 from: Hasegawa N, Hookabe N, Fujiwara Y, Jimi N, Kajihara H (2024) Supplemental re-description of a deep-sea ascidian, Fimbrora calsubia (Ascidiacea, Enterogona), with an inference of its phylogenetic position. Zoosystematics and Evolution 100(1): 129-140. https://doi.org/10.3897/zse.100.113132
Figure 1 Maps showing the sampling site (red circle), south of Houei Seamount (of which the top is indicated with a red triangle). The images were generated by using GMT 6 (Wessel et al. 2019), based on grid data provided by the General Bathymetric Chart of the Oceans.
Figure 1 from: Garzia M, Salvi D (2024) Molecular characterization and phylogenetic position of the giant deep-sea oyster Neopycnodonte zibrowii Gofas, Salas & Taviani, 2009. Zoosystematics and Evolution 100(1): 111-118. https://doi.org/10.3897/zse.100.115692
Figure 1 Bayesian phylogenetic tree of six Gryphaeidae species based on COI, 16S, 28S and ITS2 markers. Nodal supports indicate the values of uBS (upper) and the BPP (lower). The tree is rooted with Magallana gigas which belongs to the sister family Ostreidae Rafinesque, 1815. Specimens sequenced in this study are highlighted in bold.
Figure 6 from: Chaowvieng A, Sutcharit C, Chanabun R, Srisonchai R, Jeratthitikul E, Siriwut W (2024) Molecular phylogeny and taxonomic position of Macrobrachium lanchesteri (De Man, 1911), with descriptions of two new species from Thailand (Decapoda, Caridea, Palaemonidae). ZooKeys 1190: 163-193. https://doi.org/10.3897/zookeys.1190.113898
Figure 6 Morphological characteristics of Macrobrachium rostrolevatus sp. nov. (A, B, D–I ovigerous female holotype CUMZ MP00323 C ovigerous female specimen MUMNH MP00338.1) A lateral view B carapace C rostral variation D epistome E second pereiopod F teeth between fingers G third pereiopod H uropod and I movable spine at uropodal diaeresis. Scale bars: 1 mm.
Figure 5 from: Chaowvieng A, Sutcharit C, Chanabun R, Srisonchai R, Jeratthitikul E, Siriwut W (2024) Molecular phylogeny and taxonomic position of Macrobrachium lanchesteri (De Man, 1911), with descriptions of two new species from Thailand (Decapoda, Caridea, Palaemonidae). ZooKeys 1190: 163-193. https://doi.org/10.3897/zookeys.1190.113898
Figure 5 Morphological characteristics of Macrobrachium panhai sp. nov. (A, F ovigerous female paratype MUMNH MP00303 B–E, G–H ovigerous female holotype CUMZ MP00302) A lateral view B carapace C epistome D second pereiopod E teeth between fingers F third pereiopod G uropod and H movable spine at uropodal diaeresis. Scale bars: 1 mm.
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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.