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23,351 results for “Comparative”

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Figs 26–27 in Comparative morphology of immature Trictenotoma formosana Kriesche, 1919 and systematic position of the Trictenotomidae (Coleoptera, Tenebrionoidea)

Figs 26–27. Head of larva of Trictenotoma formosana Kriesche, 1919 in lateral view. 26. First-instar larva; arrows indicate the 5 stemmata. 27. Last-instar larva. Scale bars: 26 = 0.1 mm; 27 = 3 mm.

opencc-by-4.0May 2020View details →
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Figs 18–19 in Comparative morphology of immature Trictenotoma formosana Kriesche, 1919 and systematic position of the Trictenotomidae (Coleoptera, Tenebrionoidea)

Figs 18–19. Habitus of first-instar larva of Trictenotoma formosana Kriesche, 1919. 18. Dorsal view. 19. Ventral view. Scale bar: 0.5 mm.

opencc-by-4.0May 2020View details →
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Figs 1–2 in Comparative morphology of immature Trictenotoma formosana Kriesche, 1919 and systematic position of the Trictenotomidae (Coleoptera, Tenebrionoidea)

Figs 1–2. Habitus of last-instar larva of Trictenotoma formosana Kriesche, 1919. 1. Dorsal view. 2. Ventral view. Scale bar: 20 mm.

opencc-by-4.0May 2020View details →
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Figs 3–10 in Comparative morphology of immature Trictenotoma formosana Kriesche, 1919 and systematic position of the Trictenotomidae (Coleoptera, Tenebrionoidea)

Figs 3–10. Head and fore leg of last-instar larva of Trictenotoma formosana Kriesche, 1919. 3. Head, dorsal view. 4. Head, ventral view. 5. Right maxilla, ventral view. 6. Left antenna, dorsal view. 7–9. Mandibles (7 = ventral view, 8 = dorsal view, 9 = mesal view). 10. Left prothoracic leg. Scale bars: 3–4 = 3 mm; 5, 7–9 = 2 mm; 6, 10 = 1 mm.

opencc-by-4.0May 2020View details →
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Figs 22–23. Thorax and abdominal segments 4–5 in Comparative morphology of immature Trictenotoma formosana Kriesche, 1919 and systematic position of the Trictenotomidae (Coleoptera, Tenebrionoidea)

Figs 22–23. Thorax and abdominal segments 4–5 of first instar larva of Trictenotoma formosana Kriesche, 1919. 22. Dorsal view. 23. Ventral view. Scale bars: 0.2 mm.

opencc-by-4.0May 2020View details →
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Figs 24–25. Abdominal segments 8–9 in Comparative morphology of immature Trictenotoma formosana Kriesche, 1919 and systematic position of the Trictenotomidae (Coleoptera, Tenebrionoidea)

Figs 24–25. Abdominal segments 8–9 of first instar larva of Trictenotoma formosana Kriesche, 1919. 24. Dorsal view. 25. Ventral view. Scale bars: 0.1 mm.

opencc-by-4.0May 2020View details →
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Figs 11–17. Thorax and abdominal segments 5 and 9 in Comparative morphology of immature Trictenotoma formosana Kriesche, 1919 and systematic position of the Trictenotomidae (Coleoptera, Tenebrionoidea)

Figs 11–17. Thorax and abdominal segments 5 and 9 of last-instar larva of Trictenotoma formosana Kriesche, 1919. 11–12. Thorax (11 = dorsal view, 12 = ventral view). 13. Tergite 5. 14. Sternite 5. 15. Sternite 9. 16. Tergite 9. 17. Abdominal segment 9, posterior view. Scale bars: 3 mm.

opencc-by-4.0May 2020View details →
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Figs 35–36 in Comparative morphology of immature Trictenotoma formosana Kriesche, 1919 and systematic position of the Trictenotomidae (Coleoptera, Tenebrionoidea)

Figs 35–36. Extremely fine setae on abdominal segments of pupa of Trictenotoma formosana Kriesche, 1919. 35. Setae on tergites 4–5. 36. Setae on sternites 4–5. Scale bars: 3 mm.

opencc-by-4.0May 2020View details →
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Figs 20–21 in Comparative morphology of immature Trictenotoma formosana Kriesche, 1919 and systematic position of the Trictenotomidae (Coleoptera, Tenebrionoidea)

Figs 20–21. Head of first-instar larva of Trictenotoma formosana Kriesche, 1919. 20. Dorsal view. 21. Ventral view. Scale bars: 0.1 mm.

opencc-by-4.0May 2020View details →
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Figs 31–34. Abdominal segment 9 in Comparative morphology of immature Trictenotoma formosana Kriesche, 1919 and systematic position of the Trictenotomidae (Coleoptera, Tenebrionoidea)

Figs 31–34. Abdominal segment 9, spherical protrusions and spiracles of pupa of Trictenotoma formosana Kriesche, 1919. 31–33. Abdominal segment 9 (31 = dorsal view, 32 = lateral view, 33 = ventral view). 34. Spherical protrusions and spiracles on segments 4–6, lateral view. Abbreviations: sp = spiracle; lsp = lateral spherical protrusion; ssp = second spherical protrusion. Scale bars: 31–33 = 3 mm; 34 = 2 mm.

opencc-by-4.0May 2020View details →
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Supporting dataset for manuscript: "Higher rate of tuberculosis in second generation migrants compared to native residents in a metropolitan setting in Western Europe" (PLoS ONE)

<p>This is the supporting datafile for the manuscript entitled &quot;Higher rate of tuberculosis in second generation migrants compared to native residents in a metropolitan setting in Western Europe&quot; (Marx et al., PLoS ONE). The dataset includes anonymized, routinely collected notification data (variables labeled as &quot;nd&quot;) for 314 individuals and anonymized survey data (i.e. data obtained through interviews; variables labeled as &quot;sd&quot;) for a subset of 154 individuals. The data are published open-access, in accordance with the PLoS ONE data policy (2014).</p>

opencc-zeroDec 2014View details →
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Fig. 6 in Comparative phylogeography of bamboo bats of the genus Tylonycteris (Chiroptera, Vespertilionidae) in Southeast Asia

Fig. 6. Distribution and species richness for the eight genera of woody bamboo forests currently found in Asia (adapted and modified from Bystriakova et al. 2003b) and putative geographic range areas of the species of Tylonycteris. During glacial periods of the Pleistocene, the highlighted biogeographic regions may have acted as bamboo refugia for Tylonycteris spp. Moreover, sea level falls (at around 120 m below present) exposed land bridges, such as the entire Sunda Shelf (adapted from Voris 2000), connecting the islands to the continent.

opencc-by-4.0Dec 2017View details →
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Fig. 5 in Comparative phylogeography of bamboo bats of the genus Tylonycteris (Chiroptera, Vespertilionidae) in Southeast Asia

Fig. 5. Morphological characteristics of the two nominal species of the genus Tylonycteris Peters, 1872. A. T. pachypus (Temminck, 1840) (corrected taxon name is T. fulvida (Blyth, 1859)), IEBR-VN11- 0015. B. T. robustula Thomas, 1915 (corrected taxon name is T. tonkinensis Tu, Csorba, Ruedi &amp; Hassanin sp. nov.), holotype, IEBR-VN11-0055. Head profiles, ventral and dorsal views, fleshy pads at the base of the thumb and on the sole of the foot, and different views of the skull (dorsal, ventral and lateral). Scale = 10 mm.

opencc-by-4.0Dec 2017View details →
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Fig. 4 in Comparative phylogeography of bamboo bats of the genus Tylonycteris (Chiroptera, Vespertilionidae) in Southeast Asia

Fig. 4. Scatter plots obtained from morphological analyses of Tylonycteris spp. A. Range of GLS measurements of specimens within each group of Tylonycteris spp. B. Range of PC*1 scores of specimens of Tylonycteris spp. obtained from PCA of log-transformed raw data of craniodental measurements. C. Plot of PC 1 against PC 2 obtained from PCA on log-transformed standardized data. Triangles and circles refer to T. pachypus s. lat. and T. robustula s. lat., respectively. Colour patterns indicate the mtDNA haplogroups: green for Tp3 and Tr3 (northern Indochina); blue for Tp2 and Tr2 (other regions of the Southeast Asian mainland); red for Tp1 and Tr1 (Sundaland).

opencc-by-4.0Dec 2017View details →
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Fig. 1. A–B in Comparative phylogeography of bamboo bats of the genus Tylonycteris (Chiroptera, Vespertilionidae) in Southeast Asia

Fig. 1. A–B. Maps of Asia showing the distribution range (shaded) and type localities of described subspecies of T. pachypus (Temminck, 1840) and T. robustula Thomas, 1915 (Bates et al. 2008a, 2008b). C. Localities of Tylonycteris specimens included in this study. Triangles and circles refer to T. pachypus and T. robustula, respectively; the colours indicate the mtDNA haplogroups found in the Bayesian analyses of COI and Cytb sequences (see Fig. 2 for details).

opencc-by-4.0Dec 2017View details →
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Dataset of the scientific paper "A Comparative Analysis of 2D and 3D Tasks for Virtual Reality Therapies Based on Robotic-Assisted Neurorehabilitation for Post-stroke Patients" (Front. Aging Neurosci.)

<p> There are three files with the following information:<br>     - data_2d.bin, binary file with information of the different parameters of the nine subjects during 2d tasks<br>     - data_3d.bin, binary file with information of the different parameters of the nine subjects during 3d tasks<br>     - survey.bin, binary file with the score of the System Usability Scale (SUS) survey of each subject</p>

opencc-by-4.0Aug 2016View details →
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Comparing photoelectrochemical water oxidation, recombination kinetics and charge trapping in the three polymorphs of TiO2

<p>Please find the TA data sets and the model calculation of rutile attached. Note that the data is normalised to the amplitude at 100 us.</p>

opencc-by-4.0Apr 2017View details →
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Comparative wordlist of Tibetan dialects

<p>This is a collection of Tibetan dialect material compiled by Roland Bielmeier and his collaborators, mostly from existing sources, but also making use of original fieldwork.</p>

opencc-by-4.0Jun 2017View details →
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The longer the first stimulus is explored in softness discrimination the longer it can be compared to the second one

<p>In haptic perception information is often sampled serially over a certain interval of time. For example, a stimulus is repeatedly indented to repeatedly estimate its softness. Albeit such redundant estimates are equally reliable, they seem to contribute differently to the overall haptic percept in a comparison task. When comparing the softness of two silicon rubber stimuli, the within-stimulus weights of estimates of the second stimulus' softness decrease during the exploration. Here we test the hypothesis that such decrease of weights depends on the representation strength of the first stimulus’ softness. We varied the length of the first stimulus’ exploration. Participants subsequently explored two silicon rubber stimuli by indenting the first stimulus (comparison) 1 or 5 times and the second stimulus (standard) always 3 times. We assessed the weights of indentation-specific estimates from the second stimulus by manipulating perceived softness during single indentations. Our results show that the longer the first stimulus is explored<br> the more estimates of the second stimulus' softness can be included in the comparison of the two stimuli. This suggests that the exploration length of the first stimulus determines the strength of its representation which influences the decrease of weights of indentation-specific estimates of the second stimulus.</p> <p> </p> <p>The Zip file contains all data relative to the publication. The data of each participant is contained in a separate folder. This folder contains a *.raw file for each session of the experiment and a "data" folder, which contains movement trajectories (*.trj files) and the staircase reversals for each condition (*.pse files) in separate folders for each session.</p> <p>A description of the variables is contained in the file VARIABLE_CODES.txt</p>

opencc-by-4.0May 2017View details →
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Comparative Analysis of Anthraquinone and Chalcone Derivatives-Based Virtual Combinatorial Library. A Cheminformatics "Proof-of-Concept" Study

<p>This computational &ldquo;proof-of-concept&rdquo; study illustrated the combinatorial approach used to explain how the selected natural products&#39;&nbsp;structures undergo molecular diversity analysis. A virtual combinatorial library (1.6M) based on 20 anthraquinones and 24 chalcones were enumerated. The resulting compounds were optimized to the near drug-likeness properties and the physicochemical descriptors were calculated for all datasets including FDA, Non-FDA, and natural products (NPs) datasets from ZINC 15. UMAP and principal component analysis (PCA) were applied to compare and represent the chemical space coverage of each dataset. Subsequently, the Laplacian score, and Gini coefficient, were applied to delineate feature selection, and selectivity among properties respectively. Finally, we demonstrated the diversity between the datasets by employing Murcko&rsquo;s, and central scaffolds systems, calculated three fingerprint descriptors, and analyzed their diversity by PCA and self-organizing maps (SOM). The optimized enumeration resulted in 1,610,268 compounds with NP-Likeness, and synthetic feasibility mean scores close to FDA, Non-FDA, and NPs datasets. The overlap between the chemical space of 1.6M was more prominent with NPs. Laplacian score has prioritized NP-likeness and hydrogen bond acceptor properties (1.0 and 0.923) respectively, while the Gini coefficient showed that all properties have selective effects on datasets (0.81 to 0.93). Scaffold and fingerprint diversity indicated that the descending order for the tested datasets was FDA, Non-FDA, NPs, 1.6M. Virtual combinatorial libraries based on NPs can be considered as a source of the combinatorial compound with NP-likeness properties. Furthermore, measuring molecular diversity is supposed to be performed by different methods to allow for comparison and better judgment.&nbsp;</p> <p>This link provides an illustration of the whole virtual combinatorial library using the TMAP algorithm in addition to the complete dataset.&nbsp;TMAP is a recent algorithm applied to visualize ultra-large high-dimensional chemical libraries for structures and physicochemical properties (Probst &amp; Reymond, 2020). This approach creates and distributes intuitive tree representations of big data sets with arbitrary dimensionality in the order of 10<sup>7</sup>.</p> <p><strong>To visualize the whole library of compounds, download the &quot;index(2).rar&quot;, then extract the index.html that pop-up in the WinRAR application.</strong></p>

opencc-by-4.0Aug 2022View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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