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9,882 results for “Scale”

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zenodo24/100

Figure 7 from: Gullan P (2010) Australian gall-inducing scale insects on Eucalyptus: revision of Opisthoscelis Schrader (Coccoidea, Eriococcidae) and descriptions of a new genus and nine new species. ZooKeys 58: 1-74. https://doi.org/10.3897/zookeys.58.507

Figure 7 - First-instar nymph of Opisthoscelis subrotunda Schrader.

opencc-by-4.0Sep 2010View details →
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Figure 6 from: Gullan P (2010) Australian gall-inducing scale insects on Eucalyptus: revision of Opisthoscelis Schrader (Coccoidea, Eriococcidae) and descriptions of a new genus and nine new species. ZooKeys 58: 1-74. https://doi.org/10.3897/zookeys.58.507

Figure 6 - Adult female of Opisthoscelis subrotunda Schrader

opencc-by-4.0Sep 2010View details →
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Figure 2 from: Oever J, Gofferje M (2012) 'From Pilot to production': Large Scale Digitisation project at Naturalis Biodiversity Center. ZooKeys 209: 87-92. https://doi.org/10.3897/zookeys.209.3609

Figure 2 - Life cycle of Digistreets: stages of planning and executing of progect.

opencc-by-4.0Jul 2012View details →
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Figure 1 from: Oever J, Gofferje M (2012) 'From Pilot to production': Large Scale Digitisation project at Naturalis Biodiversity Center. ZooKeys 209: 87-92. https://doi.org/10.3897/zookeys.209.3609

Figure 1 - Structure of the digitization programme at Naturalis Biodiversity Center.

opencc-by-4.0Jul 2012View details →
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Figure 5 from: Kaydan MB, Konczné Benedicty Z, Kiss B, Szita É (2016) A survey of scale insects in soil samples from Europe (Hemiptera, Coccomorpha). ZooKeys 565: 1-28. https://doi.org/10.3897/zookeys.565.6877

Figure 5 - Rhizoecus pseudocacticans, Hambleton, original.

opencc-by-4.0Feb 2016View details →
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Figure 3 from: Kaydan MB, Konczné Benedicty Z, Kiss B, Szita É (2016) A survey of scale insects in soil samples from Europe (Hemiptera, Coccomorpha). ZooKeys 565: 1-28. https://doi.org/10.3897/zookeys.565.6877

Figure 3 - Brevennia larvalis Kaydan, sp. n., adult female, holotype.

opencc-by-4.0Feb 2016View details →
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Figure 2 from: Kaydan MB, Konczné Benedicty Z, Kiss B, Szita É (2016) A survey of scale insects in soil samples from Europe (Hemiptera, Coccomorpha). ZooKeys 565: 1-28. https://doi.org/10.3897/zookeys.565.6877

Figure 2 - Ortheziola editae Szita & Konczné Benedicty, sp. n., adult female, holotype.

opencc-by-4.0Feb 2016View details →
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Figure 4 from: Kaydan MB, Konczné Benedicty Z, Kiss B, Szita É (2016) A survey of scale insects in soil samples from Europe (Hemiptera, Coccomorpha). ZooKeys 565: 1-28. https://doi.org/10.3897/zookeys.565.6877

Figure 4 - Brevennia larvalis Kaydan, sp. n., first instar nymph.

opencc-by-4.0Feb 2016View details →
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Eq 1 from: Pellegrini TG, Sales LP, Aguiar P, Ferreira RL (2016) Linking spatial scale dependence of land-use descriptors and invertebrate cave community composition. Subterranean Biology 18: 17-38. https://doi.org/10.3897/subtbiol.18.8335

Eq 1 -

opencc-by-4.0Jun 2016View details →
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Amos: A large-scale abdominal multi-organ benchmark for versatile medical image segmentation (Unlabeled Data Part III)

<p>Despite the considerable progress in automatic abdominal multi-organ segmentation from CT/MRI scans in recent years, a comprehensive evaluation of the models&#39; capabilities is hampered by the lack of a large-scale benchmark from diverse clinical scenarios. Constraint by the high cost of collecting and labeling 3D medical data, most of the deep learning models to date are driven by datasets with a limited number of organs of interest or samples, which still limits the power of modern deep models and makes it difficult to provide a fully comprehensive and fair estimate of various methods. To mitigate the limitations, we present AMOS, a large-scale, diverse, clinical dataset for abdominal organ segmentation. AMOS provides 500 CT and 100 MRI scans collected from multi-center, multi-vendor, multi-modality, multi-phase, multi-disease patients, each with voxel-level annotations of 15 abdominal organs, providing challenging examples and test-bed for studying robust segmentation algorithms under diverse targets and scenarios. We further benchmark several state-of-the-art medical segmentation models to evaluate the status of the existing methods on this new challenging dataset. We have made our datasets, benchmark servers, and baselines publicly available, and hope to inspire future research. The paper can be found at&nbsp;https://arxiv.org/pdf/2206.08023.pdf</p> <p>In addition to providing the labeled 600 CT and MRI scans, we expect to provide 2000 CT and 1200 MRI scans without labels to support more learning tasks (semi-supervised, un-supervised, domain adaption, ...). The link can be found in:</p> <ul> <li><a href="https://zenodo.org/deposit/7262581">labeled data (500CT+100MRI)</a></li> <li><a href="https://zenodo.org/record/7262757#.Y2iSQ9JBwYs">unlabeled data Part I&nbsp;(900CT)</a></li> <li><a href="https://zenodo.org/record/7295661#.Y2iR_9JBwYs">unlabeled data Part II (1100CT)</a>&nbsp;(Now there are 1000CT, we will replenish to 1100CT)</li> <li><a href="https://zenodo.org/record/7295816">unlabeled data Part III (1200MRI)</a></li> </ul> <p>if you found this dataset useful for your research, please cite:</p> <blockquote> <pre>@article{ji2022amos, title={AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation}, author={Ji, Yuanfeng and Bai, Haotian and Yang, Jie and Ge, Chongjian and Zhu, Ye and Zhang, Ruimao and Li, Zhen and Zhang, Lingyan and Ma, Wanling and Wan, Xiang and others}, journal={arXiv preprint arXiv:2206.08023}, year={2022} }</pre> </blockquote>

opencc-by-4.0Oct 2022View details →
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Figure 51. Male Phinella piatensis from the Philippines. 1-2 in Jumping spider scales (Araneae: Salticidae)

Figure 51. Male Phinella piatensis from the Philippines. 1-2, Two views of an adult male. 3, SEM, scales from the carapace of an adult male. Attribution and ©: 1-2, Jerian Dale V. Figueroa; 3, Dimitri V. Logunov.

opencc-by-nd-4.0Oct 2022View details →
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Figure 11 in Jumping spider scales (Araneae: Salticidae)

Figure 11. Scales of the male Maratus robinsoni Otto &amp; Hill 2012. 1, Courtship display by male. 2-5, Views of the dorsal opisthosoma, showing variation of iridescent color by direction. 6, 11, Detailed light views of iridescent scales, from above. 7, 12-13, SEM views of attached scales (class 7, bladelike), from above. 8, SEM view showing regular spacing of the grating on the side of a detached scale. 9, Separation of parallel ridges on the surface of a scale. 10, SEM, cross section of scale (sharp top of scale at left). Attribution and ©: 1-4, JuJrgen C. Otto; 5-10, Wilts, Otto &amp; Stavenga 2020; 11-13, Hsiung et al. 2017b.

opencc-by-nd-4.0Oct 2022View details →
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Figure 1 in Jumping spider scales (Araneae: Salticidae)

Figure 1. Generalized structure of a keeled, lanceolate (Figure 2: class 8) salticid scale. The sharp, central keel and thick margins represent the three shafts of this scale. Most scales lack small spines (spinules or setules) on the upper surface but, as shown here, can be elaborately sculpted.

opencc-by-nd-4.0Oct 2022View details →
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Figure 3 in Jumping spider scales (Araneae: Salticidae)

Figure 3. Transverse sections of keeled scales. 1, Many salticids, including dendryphantines and Habronattus, have bright white, lanceolate (class 8) scales, keeled with thick margins (three-shafted), that are highly reflective. The wide, five-shafted scales of Salticus species are similar to this, and also bright white. 2, The deep red scales of Phidippus species are much narrower with little surface reflection (also class 8). 3, Many salticids, including Platycryptus, have wide, reflective scales like this with a prominent keel (class 6). 4, Narrow, keeled scales like these (class 7, bladelike) are usually highly pigmented or dark, with little surface reflection.

opencc-by-nd-4.0Oct 2022View details →
zenodo24/100

Figure 7 in Jumping spider scales (Araneae: Salticidae)

Figure 7. Colorful scales of the male Maratus volans (O. Pickard-Cambridge 1874). 1, Typical courtship display by male, with elevated and extended fan held in front of the long, extended legs III. 2, Depending on the relative direction of illumination, the brilliance of the blue-green iridescent scales near the center of the fan can be displayed to full effect. 3-4, Under the transmission electron microscope (TEM), thin transverse sections through the iridesent scales of M. volans reveal a nanoscale architecture of repeating linear, external and internal, ridges (drawings after Foelix, Erb &amp; Hill 2013). The interval between internal ridges is much shorter and more regular than the interval between external ridges. In this case, the relatively uniform blue-green iridescence of these scales may be the product of both transmissive and reflective diffraction. M. volans, widely distributed in eastern Australia, is the best-known member of the genus. Attribution and ©: 1-2, JuJrgen C. Otto.

opencc-by-nd-4.0Oct 2022View details →
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Figure 19 in Jumping spider scales (Araneae: Salticidae)

Figure 19. Some salticids with relatively few scales. Absence of scales can be associated with either transparency or the presence of green bilins in the cuticle. At the same time, scale cover in the eye region may prevent predators from observing movement of the AME. Attribution and ©: 3-4, Thomas Shahan.

opencc-by-nd-4.0Oct 2022View details →
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supplementary dataset for "Review of quantitative applications of the concept of the water planetary boundary at different spatial scales"

<p>This supporting information includes 6 spread sheets:</p> <p>Table S1&nbsp;&nbsp; &nbsp;288_database search&nbsp;&nbsp; &nbsp;The studies collected through an adjusted search strategy from ISI Web of Science v.5.35.<br> Table S2&nbsp;&nbsp; &nbsp;114_1st filter&nbsp;&nbsp; &nbsp;The studies passed the 1st filter and their category (Category I ).<br> Table S3&nbsp;&nbsp; &nbsp;52_2nd filter&nbsp;&nbsp; &nbsp;The studies passed the 2ed filter and their category (Category II ).<br> Table S4&nbsp;&nbsp; &nbsp;26_additional screening&nbsp;&nbsp; &nbsp;The studies collected through manual searching from the citations of 288 studies, as well as the range included in previous literature reviews.<br> Table S5&nbsp;&nbsp; &nbsp;28_final&nbsp;&nbsp; &nbsp;The studies passed the three filters and three additional reports.<br> Table S6&nbsp;&nbsp; &nbsp;488_data records&nbsp;&nbsp; &nbsp;The 488 data records collected from the 28 studies.<br> &nbsp;</p>

opencc-by-4.0Dec 2022View details →
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DATASET: A semi-automated analysis of displacement-to-length scaling of the grabens affecting lunar Floor-Fractured craters

<p>Dataset related to &quot;A semi-automated analysis of displacement-to-length scaling of the grabens affecting lunar Floor-Fractured craters&quot;</p> <p>Structure:</p> <p>- Data: this folder contains the data used in our work (imagery, digital elevation model, and slope map)<br> - Results: this folder contains the resulting faults, transects&nbsp;GIS files and spreadsheets&nbsp;presented in our work</p> <p><br> Code available here:&nbsp;</p> <pre>https://doi.org/10.5281/zenodo.7477125</pre>

opencc-by-4.0Dec 2022View details →
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Laboratory Investigation of Scale Effects in Bursting Failure of Quasi-brittle Materials

<p>Videos of bursting failure process of coal samples</p>

opencc-by-4.0Jan 2023View details →
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Assessing base-resolution DNA mechanics on the genome scale

<p>Intrinsic DNA properties such as bending play a crucial role in diverse biological systems. A recent advantage in the high-throughput method called loop-seq makes it possible to determine bendability of hundred thousand 50-bp DNA duplexes in one experiment. However, it&rsquo;s still infeasible to assess whole sequence bendability in large genomes such as human, which needs thousands of loop-seq experiments. Here we introduce &lsquo;BendNet&rsquo; &ndash; a neural network to accurately predict the intrinsic DNA bending at base-resolution by only given DNA sequences. BendNet can increase the resolution of experimental results, and can predict DNA bendability for any new given sequences in high accuracy. We applied BendNet to the human genome and observed high-stiffness regions located at both transcriptional start sites and transcriptional end sites. Such stiffness patterns are different for coding and non-coding genes, which matches distinct nucleosome occupancy patterns. As expected, most transcription factors (TFs) bind in DNA of low bendability. In contrast, we observed an unusually high bendability within binding elements of specific TFs such as EBF1 and regulators of genome folding such as CTCF. These factors either co-bind or compete with nucleosomes to carry out their functions. More interestingly, CTCF binding regions exhibit the highest bendability than other DNA elements, implying their potential role in trapping and holding the CTCF in the exact locations to make sure CTCF as stable anchor in loop extrusion process. Our work provides a tool to assess DNA bendability for large-scale DNA sequences and expands our understanding on DNA mechanics in chromatin regulation and genome folding.</p>

opencc-by-4.0Feb 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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