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241 results for “Structural relationships”
FIGURES 15–16 in Comparison of the structure and musculature of male terminalia in the tribe Cidariini Duponchel (Lepidoptera: Geometridae: Larentiinae) once again throws into doubt a sister relationship with the Xanthorhoini
FIGURES 15–16. Gandaritis fixseni, male genitalia and muscles: 15. Armature (proximal part of subscaphium, distal part of muscles m1 on the left side, middle part of muscles m2(10) on the right side not shown). 16. Aedeagus.
TABLE 1 in The diatom genus Longinata Hajós (Bacillariophyta): structure, relationships and distribution
<p><b>TABLE 1.</b> Table of occurrences for <i>Longinata acuta</i> from Hajós & Stradner (1975: table 2, pp. 916–8, for <i>Longinata acuta</i> occurrences see p. 917), * = type sample; abbreviations from Hajós & Stradner: C = common (‘50%–75%’); R = rare (0%–25%).</p><table><tbody><tr><th>Sample from DSDP 275</th></tr></tbody><tbody><tr><th>1-2; 40–42*</th><td>R</td></tr><tr><th>2-1; 25–27</th><td>R</td></tr><tr><th>2-1; 40–42</th><td>C</td></tr><tr><th>2-1; 130–132</th><td>R</td></tr><tr><th>2-4; 40–42</th><td>R</td></tr><tr><th>2-5; 40–42</th><td>C</td></tr><tr><th>2-5; 116–118</th><td>R</td></tr></tbody></table>
TABLE 4 in The diatom genus Longinata Hajós (Bacillariophyta): structure, relationships and distribution
<p><b>TABLE 4.</b> Genera added to Cymatosiraceae (1985–2017), all currently extant, all monotypic except <i>Cymatosirella</i> (4 species); with respect to proposed monotypic taxa, examination of the results from Dąbek <i>et al.</i> (2019), for example, would place <i>Pseudoleyanella</i> in <i>Leyanella</i>, <i>Pierrecomperia</i> in <i>Exotubocellulus</i>, and <i>Lambertocellus</i> with some species of Cymatosira, the latter genus being non-monophyletic (Dąbek <i>et al.</i> (2019), yielding an alternative classification.</p><table><tbody><tr><th>Name</th><th>Author</th><th>Date</th></tr></tbody><tbody><tr><th><i>Pseudoleyanella lunulata</i></th><td>Takano</td><td>1985</td></tr><tr><th><i>Lennoxia faveolata</i></th><td>H.A.Thomsen & K.Buck in H.A.Thomsen <i>et al.</i></td><td>1993</td></tr><tr><th><i>Hyalinella lateripunctata</i></th><td>Witkowski <i>et al.</i></td><td>2000</td></tr><tr><th><i>Pierrecomperia catenuloides</i></th><td>Sabbe, Vyverman & Ribero in Sabbe <i>et al.</i></td><td>2010</td></tr><tr><th><i>Syvertsenia iberica</i></th><td>Witkowski & Anna Gomes in Gomes <i>et al.</i></td><td>2013</td></tr><tr><th><i>Cymatosirella capensis</i></th><td>Dąbek, Witkowski & Sabbe in Dąbek <i>et al.</i></td><td>2013</td></tr><tr><th><i>Lambertocellus africana</i></th><td>Dąbek, Witkowski & Ashworth in Dąbek <i>et al.</i></td><td>2017</td></tr></tbody></table>
TABLE 3 in The diatom genus Longinata Hajós (Bacillariophyta): structure, relationships and distribution
<p><b>TABLE 3.</b> Species in the genus <i>Kisseleviella</i> (1985–2005)</p><table><tbody><tr><th><i>Kisseleviella</i></th><th>Author, Date</th><th>Locality</th><th>Slide</th></tr></tbody><tbody><tr><th><i>ezoensis</i></th><td>Akiba 1985</td><td>JDS-8482, Kiroro formation, Hokkaido, Honbetsu-cho, Japan</td><td>BRM Zu3/19</td></tr><tr><th><i>magnaareolata</i></th><td>Akiba &Yanagisawa 1985</td><td>JDS-10649, Takatsuru Formation, Bösö Peninsula, Honshu, Japan</td><td>BRM Zu3/17</td></tr><tr><th><i>cuspidata</i></th><td>Glezer <i>et al.</i> 1986</td><td>ВосточнаЯ Камчатка, каньон Ольги [Eastern Kamchatka, Olga Canyon]</td><td>KPGO 36/1-2</td></tr><tr><th><i>cicatricata</i></th><td>M.P.Olney in Olney <i>et al.</i> 2005</td><td>Victora Land Basin, Antarctica</td><td>CAS 222022</td></tr><tr><th><i>faballiforma</i></th><td>M.P.Olney in Olney <i>et al.</i> 2005</td><td>Victora Land Basin, Antarctica</td><td>CAS 222024</td></tr><tr><th><i>gaster</i></th><td>M.P.Olney in Olney <i>et al.</i> 2005</td><td>Victora Land Basin, Antarctica</td><td>CAS 222023</td></tr><tr><th><i>tricoronata</i></th><td>M.P.Olney in Olney <i>et al.</i> 2005</td><td>Victora Land Basin, Antarctica</td><td>CAS 222021</td></tr></tbody></table>
TABLE 2 in The diatom genus Longinata Hajós (Bacillariophyta): structure, relationships and distribution
<p><b>TABLE 2</b> Table of occurrences from Hajós & Stradner (1975: table 2, pp. 916–8, for <i>Eunotogramma fueloepi</i> occurrences see p. 916); * = type sample; abbreviations from Hajós & Stradner: C = common (‘50%–75%’); R = rare (0%–25%); all entries in the table are from Hajós & Stradner (1975).</p><table><tbody><tr><th>Sample from DSDP 275</th></tr></tbody><tbody><tr><th>1-2; 40–42</th><td>C</td></tr><tr><th>1-2; 117–119</th><td>C</td></tr><tr><th>1-3; 40–42</th><td>C</td></tr><tr><th>2-1; 130–132*</th><td>R</td></tr><tr><th>2-2; 60–62</th><td>R</td></tr></tbody></table>
Dataset: Chromatographic data for publication Exploration and optimisation of structure-activity relationships of newtriazole-based C-terminal Hsp90 inhibitors towards in vivoanticancer potency
<p>Bio-chromoatographic data caming from publication Exploration and optimisation of structure-activity relationships of new triazole-based C-terminal Hsp90 inhibitors towards in vivo anticancer potency</p>
FIGURE 36. The secondary structures for 22 in Contribution to the knowledge of Chinese Gryllacrididae (Orthoptera) V: Further study on the Chinese Capnogryllacris and comment on the phylogenetic relationships of the Gryllacrididae
FIGURE 36. The secondary structures for 22 tRNA genes of the Capnogryllacris nigromarginata hainanensis ssp. nov..
FIGURE 35. The secondary structures for 22 in Contribution to the knowledge of Chinese Gryllacrididae (Orthoptera) V: Further study on the Chinese Capnogryllacris and comment on the phylogenetic relationships of the Gryllacrididae
FIGURE 35. The secondary structures for 22 tRNA genes of the Capnogryllacris nigromarginata rectispina ssp. nov..
FIGURE 34. The secondary structures for 22 in Contribution to the knowledge of Chinese Gryllacrididae (Orthoptera) V: Further study on the Chinese Capnogryllacris and comment on the phylogenetic relationships of the Gryllacrididae
FIGURE 34. The secondary structures for 22 tRNA genes of the Capnogryllacris nigromarginata nigromarginata.
FIGURE 32. The secondary structures for 22 in Contribution to the knowledge of Chinese Gryllacrididae (Orthoptera) V: Further study on the Chinese Capnogryllacris and comment on the phylogenetic relationships of the Gryllacrididae
FIGURE 32. The secondary structures for 22 tRNA genes of the Capnogryllacris erythrocephala maculatis ssp. nov..
Data from: Design of cinnamaldehyde amino acid Schiff base compounds based on the quantitative structure–activity relationship
Cinnamaldehyde amino acid Schiff base (CAAS) is a new class of safe, bioactive compounds which could be developed as potential antifungal agents for fungal infections. To design new cinnamaldehyde amino acid Schiff base compounds with high bioactivity, the quantitative structure–activity relationships (QSARs) for CAAS compounds against Aspergillus niger (A. niger) and Penicillium citrinum (P. citrinum) were analysed. The QSAR models (R2 = 0.9346 for A. niger, R2 = 0.9590 for P. citrinum,) were constructed and validated. The models indicated that the molecular polarity and the Max atomic orbital electronic population had a significant effect on antifungal activity. Based on the best QSAR models, two new compounds were designed and synthesized. Antifungal activity tests proved that both of them have great bioactivity against the selected fungi.
A Multi-Omics Approach Reveals Mechanisms of Nanomaterial Toxicity and Structure-Activity-Relationships in Alveolar Macrophages
<p>This deposit contains the proteomics and metabolomics data belonging to the publication with the title "A Multi-Omics Approach Reveals Mechanisms of Nanomaterial Toxicity and Structure-Activity-Relationships in Alveolar Macrophages".</p>
FIGURE 2. Leg structures. A–E in The spine armament of the legs as an important means for the characterisation of the genera of Corydiinae and their relationships (Blattodea, Corydiidae)
FIGURE 2. Leg structures. A–E: Distinguishing features between the species Heterogamisca longipilosa, Holotype: A, proximal part of left hindtibia, E left hindfemur, both mirror images,—and H. jeffreyana, Holotype: B, proximal part of right hindtibia, C right hindfemur, arrows delimit the area shown in higher enlargement in D. Notice the longer bristles on the tibia of H. longipilosa, and the tiny spinules along the anterio-ventral edge of the hindfemur in H. jeffreyana, which are missing in the other species. F: Right hindtibia of the female of Nymphrytria mirabilis (specimen from Erg er Raoui, view on the anterior surface), showing the row of five large spines along the ventral edge of the broadened tibia, row formed by four ventral (ve) and one apical spine (a). At the bottom parts of the leg from the other side are visible. G: Left midtibia of the same specimen (view on anterio-dorsal surface), the seven dorsal spines (do) arranged in two longitudinal rows, the row at the right is completed by one apical spine.—Further abbreviations: Fe femur, Ti tibia, Ta tarsus.—Enlargements: Scale in D 0.2 mm, in all others 0.5 mm.
Supplemental Material for 'Deep Generative Models of Protein Structure Uncover Distant Relationships Across a Continuous Fold Space' and DeepUrfold
<p>Data provided for the paper Draizen, EJ, Veretnik, S, Mura, C, and Bourne, PE. "Deep Generative Models of Protein Structure Uncover Distant Relationships Across a Continuous Fold Space." <em>Nature Communications</em>, Aug. 2024.</p> <div> </div> <p> </p>
Dataset related to "A connectome manipulation framework for the systematic and reproducible study of structure-function relationships through simulations"
<p>This is an accompanying dataset to the article with the title "A connectome manipulation framework for the systematic and reproducible study of structure-function relationships through simulations" (DOI: <a href="https://doi.org/10.1162/netn_a_00429" target="_blank" rel="noopener">10.1162/netn_a_00429</a>). It contains the resulting data of the manipulated SSCx network model, such as benchmarks, fitted stochastic models, manipulated connectomes, structural validations, as well as simulation data and analysis results.</p> <p>The corresponding repository with code, configuration files, and detailed instructions for reproducing the results in this dataset as well as generating the results figures in the accompanying article is available here: <a href="https://github.com/BlueBrain/sscx-connectome-manipulations" target="_blank" rel="noopener">https://github.com/BlueBrain/sscx-connectome-manipulations</a></p> <p>The underlying <em>Connectome-Manipulator</em> software is available here: <a href="https://github.com/BlueBrain/connectome-manipulator" target="_blank" rel="noopener">https://github.com/BlueBrain/connectome-manipulator</a></p> <p>Additional requirement: Original SSCx network model (DOI: <a href="https://doi.org/10.5281/zenodo.8026353" target="_blank" rel="noopener">10.5281/zenodo.8026353</a>)</p> <p>ℹ️ Disclaimer: Some results may have been produced with an older version of <em>Connectome-Manipulator</em>, so slight differences might be possible when re-running with the latest version.</p> <p><strong>Update 25/09/2024 (v2):</strong> Added benchmark results for assessing strong and weak scaling behavior of connectome rewiring.</p> <blockquote> <p><strong><em>Funding</em></strong></p> <p><em>Funding provided by the Swiss government’s ETH Board to the Blue Brain Project, a research center of the École polytechnique fédérale de Lausanne (EPFL).</em></p> </blockquote>
Hollows on Mercury: A Comprehensive Analysis of Spatial Patterns and Their Relationship to Craters and Structures
<p><strong><span>Supporting Material Content </span></strong></p> <p><span> </span></p> <p><span>The raw data collected and produced in this paper are shown in the tables provided as supplementary information to the main text of the article.</span><span> </span><span>Specifically, the contents of each table are as follows:</span></p> <p><span> </span></p> <p><strong><span><span>1-<span> </span></span></span></strong><strong><span>Matrix 1</span></strong></p> <p><span>This table shows the Boolean matrix in which all the data collected for each distinctive trait (header descriptions are reported in Table 1 in the main text) for each hollow location are collected. In Matrix 1 and 2, the ID progressive numbering used in Thomas et al., (2014a) have been maintained. When a new location was added to the list we used the same Id number of the closest identified location by Thomas et al., (2014a). For further clarity an univocal new progressive numbering has been assigned to each location. In addition, (i) the coordinates of the centroid of the mapped polygon for each location (latitude and longitude are provided in decimal degrees) and (ii) the automatically extracted minimum, maximum and mean elevations are given for each polygon.</span></p> <p><strong><span><span>2-<span> </span></span></span></strong><strong><span>Matrix 2</span></strong></p> <p><span>This table shows the Boolean matrix in which the occurrences of degradation classes and geologic units are collected for all those hollows contained within craters. These data are reported both as single column cumulative data (e.g., for each location, when available, the degradation class code is reported) and as Boolean matrix. When data are not available for the given location the cells have been left empty.</span></p> <p><span>Crater diameters are also reported along with elevations related to crater morphologies.</span></p> <p><strong><span><span>3-<span> </span></span></span></strong><strong><span>Matrix 3</span></strong></p> <p><span>This table shows the matrix that collects the results of equations 1, 2 (tab P) and 3 (tab I), described in the methods section, for the entire population of hollows. The data herein reported are the machine-readable version of the data reported in Table 2 in the main text.</span></p> <p><strong><span><span>4-<span> </span></span></span></strong><strong><span>Matrix 4</span></strong></p> <p><span>This table shows the matrix that collects the results of equations 1, 2 (tab P) and 3 (tab I), described in the methods section, for the population of hollows contained within craters. This dataset also includes the results of the above equations by taking into account parameters such as degradation classes and geological units (names reported in the headers correspond to the ones used in Matrix 2 which are taken from geological mapping literature. The full literature list can be found in the main text in the methods section).</span></p> <p><span> </span></p> <p><span>In addition to these tables, we also provided the GIS-ready shapefile containing all the polygons showing the areas where the hollows were observed, the attributes are the same as those included in Matrix 1.</span></p>
Supplementary Data for "Exploring structure-function relationships in engineered receptor performance using computational structure prediction"
<p>These data are supplementary data for the manuscript "<strong>Exploring structure-function relationships in engineered receptor performance using computational structure prediction</strong>", which has been submitted for consideration for publication. These data include protein structure predictions used in this study.</p>
FIGURE 59 in <p class="HeadingRunIn" align="left"><strong>A revision of the <em>Pauropsalta annulata </em>Goding & Froggatt species group (Hemiptera: Cicadidae) based on morphology, calling songs and ecology, with investigations into calling song structure, molecular phylogenetic relationships and a case of hybridisation between two subspecies</strong></p>
FIGURE 59. Chronogram showing an estimated phylogeny with divergence times for the Pauropsalta annulata species group, along with outgroups from the tribe Cicadettini, based on CO1 and dynamin data (modelled independently). The topology is a maximum clade credibility from an MCMC search, enforcing a relaxed molecular clock with branch lengths modelled using a GTR + I + G model in *BEAST. Node support is indicated by black closed circles (BPP=1.00) and grey closed circles (BPP=0.95–0.99) from BEAST. Clock calibration is based on a rate of 0.0115s/s/myr for CO1 (see Phylogenetic Analysis Methodology section).
FIGURE 55 in <p class="HeadingRunIn" align="left"><strong>A revision of the <em>Pauropsalta annulata </em>Goding & Froggatt species group (Hemiptera: Cicadidae) based on morphology, calling songs and ecology, with investigations into calling song structure, molecular phylogenetic relationships and a case of hybridisation between two subspecies</strong></p>
FIGURE 55. Results of two Non-metric Multidimensional Scaling ordination analyses using the durations of the four song segments (Fig. 54) for Pauropsalta annulata (red), Pauropsalta tremula (purple), Pauropsalta notialis notialis (orange), Pauropsalta notialis incitata (blue) and Pauropsalta notialis notialisxincitata (green) (n=532). Closed points denote individuals recorded in sympatry with other species in the P. annulata species complex, whereas open outlined points are individuals recorded in allopatry. A cluster analysis revealed five clusters among the data, as indicated, and the composition of each is detailed in the text.
FIGURE 52 in <p class="HeadingRunIn" align="left"><strong>A revision of the <em>Pauropsalta annulata </em>Goding & Froggatt species group (Hemiptera: Cicadidae) based on morphology, calling songs and ecology, with investigations into calling song structure, molecular phylogenetic relationships and a case of hybridisation between two subspecies</strong></p>
FIGURE 52. Male calling song structure of Pauropsalta ayrensis Ewart illustrated in expanded waveform plots (explained in Fig. 8), showing both buzzing and lilting components. The spectrogram at the bottom of the figure displays song frequency, which exhibits no modulation between the song components in this species. This specimen was recorded in the field at Eidsvold (25°22'S 151°07'E).
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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.