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180 results for “chaos”
Dynamical tides in highly eccentric binaries: chaos, dissipation, and quasi-steady state
<p>MESA inlists associated with <a href="https://ui.adsabs.harvard.edu/#abs/2018MNRAS.476..482V/abstract">Dynamical tides in highly eccentric binaries: chaos, dissipation, and quasi-steady state</a></p>
Assessing the Resilience of Software Systems by Application of Chaos Engineering - A Case Study
<p>This repo contains all supplementary data sets that I have created and used throughout my bachelor's thesis. In particular, it contains<br> - JMeter configuration file<br> - CSV files of measured JMeter runs<br> - Chaos Experiments declared in JSON<br> - Created boxplots and ecdf plots based on the CSV files<br> - Kubernetes deployments<br> - Bash scripts <br> </p>
CHAOS - Combined (CT-MR) Healthy Abdominal Organ Segmentation Challenge Data
<p>This is the train and testing dataset of Combined (CT-MR) Healthy Abdominal Organ Segmentation (CHAOS) Challenge. This data consists of images of Abdominal CT and MRI from different patients.</p> <p>There are 20 training and 20 testing cases in the CT dataset. MRI dataset contains 20 training and 20 testing cases with T1-Dual and T2 SPIR sequences. Train data contains both DICOM images and their ground truth masks. The testing set only contains DICOM images. In CT cases only livers were annotated. In MRI cases, livers, left/right kidneys, and spleens were annotated. For further information about the data and challenge, please visit <a href="https://chaos.grand-challenge.org/">https://chaos.grand-challenge.org/</a> and read the <a href="https://www.dropbox.com/s/b8ka7tcxm45mlq4/CHAOS_Submission_Manual_new.pdf?dl=1">CHAOS_Submission_Manual.pdf</a></p> <p><em><strong>Important note: </strong>Ground truths/references of the test data are reserved for challenge validation and <strong>will never be shared publicly. </strong>Such requests will be ignored<strong>.</strong></em></p> <p>Scientists may use this data not only join to the CHAOS challenge but also for other works as long as they give appropriate credit, provide a link to the license, and indicate if changes were made.</p> <p>Bibtex:</p> <pre><code>@dataset{CHAOSdata2019, author = {Ali Emre Kavur and M. Alper Selver and Oğuz Dicle and Mustafa Barış and N. Sinem Gezer}, title = {{CHAOS - Combined (CT-MR) Healthy Abdominal Organ Segmentation Challenge Data}}, month = Apr, year = 2019, publisher = {Zenodo}, version = {v1.03}, doi = {10.5281/zenodo.3362844}, url = {https://doi.org/10.5281/zenodo.3362844} }</code></pre> <p>IEEE Style:</p> <pre><code>Ali Emre Kavur, M. Alper Selver, Oğuz Dicle, Mustafa Barış, and N. Sinem Gezer, "CHAOS - Combined (CT-MR) Healthy Abdominal Organ Segmentation Challenge Data". Zenodo, 11-Apr-2019.</code></pre> <p>APA Style:</p> <pre><code>Ali Emre Kavur, M. Alper Selver, Oğuz Dicle, Mustafa Barış, & N. Sinem Gezer. (2019). CHAOS - Combined (CT-MR) Healthy Abdominal Organ Segmentation Challenge Data (Version v1.03) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3362844</code></pre> <p> </p>
Fundamental Limits From Chaos On Instability Time Predictions In Compact Planetary Systems
<p>REBOUND SimulationArchives analysed in Hussain & Tamayo (2019) Fundamental Limits From Chaos On Instability Time Predictions In Compact Planetary Systems. Dataset consists of a set of compact planetary configurations, and large ensembles of shadow trajectories from N-body simulations with initial conditions perturbed near machine precision to investigate the spread in instability times. Instructions and scripts for extracting the data and generating the plots in the paper can be found at https://github.com/Naireen/StabilitySetImage</p>
Emergence of chaos in a compartmentalized catalytic reaction nanosystem - Database
<p><strong>Supplementary Data to the associated "Nature Communications" article (doi: 10.1038/s41467-023-36434-y) containing the FEM measurements and timeseries simulated by the microkinetic modelling.</strong></p> <p>FEM measurements of the oscillating hydrogen oxidation reaction on Rh at T = 453 K at pressures of p<sub>H2</sub> = 7.0 x 10<sup>-6</sup>, p<sub>H2</sub> = 8.5 x 10<sup>-6</sup> and p<sub>H2</sub> = 11.5 x 10<sup>-6</sup> mbar and constant p<sub>O2</sub> = 4.4 x 10<sup>-6</sup> mbar and data of the calculated surface coverages from the microkinetic simulations.</p>
yRCA Chaos testing logs
<p>The uploaded files document the work done with Online Boutique as reference application to access yRCA capabilities in detecting and explaining failures generated with a personalized chaos test tool.</p>
Identifying and Prioritizing Chaos Experiments by Using Established Risk Analysis Techniques - Artifacts
<p>This is the supplementary material for the following publication: </p> <p>Dominik Kesim, André van Hoorn, Sebastian Frank, and Matthias Häussler. Identifying and prioritizing chaos experiments by using established risk analysis techniques. In Proceedings of the 31st International Symposium on Software Reliability Engineering (ISSRE 2020). IEEE, 2020</p>
FIGURE 1 in Garra waensis, a new cyprinid fish (Actinopterygii: Cypriniformes) from the Nan River basin of the Chao Phraya River system, northern Thailand
FIGURE 1. Garra waensis, holotype, THNHM-F 01511, 90.9 mm SL, fresh condition, the Mang River, a tributary of the Wa River, the Nan River basin, Nan Province, Thailand. Lateral view. Photo by Amornchai Lothongkham.
FIGURE 5 in Garra waensis, a new cyprinid fish (Actinopterygii: Cypriniformes) from the Nan River basin of the Chao Phraya River system, northern Thailand
FIGURE 5. Ventral view of head of Garra waensis (RLIKU 1877, paratype, 64.2 mm SL, upper jaw and lower jaw removed) showing ventral surface of mouth roof and anterior portion of pharynx: rostral cap (rc); maxillary valve (mv); vomelo-palatine organ (vpo); raised border to pharynx (rbp); papillae (p); and pectoral fin (pf). Margins of portions overlapping with mouth roof of rostral cap and maxillary valve are shown in broken lines. Drawn by Sakda Arbsuwan.
FIGURE 4 in Garra waensis, a new cyprinid fish (Actinopterygii: Cypriniformes) from the Nan River basin of the Chao Phraya River system, northern Thailand
FIGURE 4. Some characters of Garra waensis: A, dorsolateral view of anterior and posterior (in black) nostrils (left side reversed), RLIKU 1877, paratype, 64.2 mm SL; B, ventro-mesial view of pharyngeal teeth (left side), RLIKU 1877, paratype, 64.2 mm SL; C, ventral view of intestine loop with a coiling pattern shown as a diagram (lower right corner), vacant spaces shown as dotted areas, NSMT-P 106508, paratype, 63.6 mm SL. Drawn by Amornchai Lothongkham.
FIGURE 3 in Garra waensis, a new cyprinid fish (Actinopterygii: Cypriniformes) from the Nan River basin of the Chao Phraya River system, northern Thailand
FIGURE 3. Close up of head of Garra waensis, holotype, THNHM-F 01511, 90.9 mm SL, alcohol-preserved. A, lateral and B, dorsal views, showing poorly developed proboscis in front of nostrils and tubercles on head. C, ventral view, showing structure of a mouth portion: rc, rostral cap; ul, upper lip; uj, upper jaw; lj, lower jaw; afll, anteromedian fold of lower lip; alll, anterolateral lobe of lower lip; ccll, central callus of lower lip; lfll, lateroposterior flap of lower lip. Photos by Patinya Sreesamran
FIGURE 2 in Garra waensis, a new cyprinid fish (Actinopterygii: Cypriniformes) from the Nan River basin of the Chao Phraya River system, northern Thailand
FIGURE 2. Garra waensis, holotype, THNHM-F 01511, 90.9 mm SL, alcohol-preserved. Dorsal (above), lateral (middle) and ventral views (below). Photos by Patinya Sreesamran.
FIGURE 24 in The Sarcophagidae (Insecta: Diptera) described by Chien-ming Chao and Xue-zhong Zhang
FIGURE 24. Wohlfahrtiodes mongolicus Chao & Zhang, 1988 [= Asiosarcophila kaszabi Rohdendorf & Verves, 1978], male, holotype. A. Body, lateral view. B. Terminalia, lateral view. C. Head, anterior view. D. Head, anterolateral view. E. Head, lateral view. F. Abdomen, dorsal view. G. Labels. Scales: A= 3.00 mm, B= 0.50 mm, C–E= 1.00 mm, F= 2.00 mm.
FIGURE 20 in The Sarcophagidae (Insecta: Diptera) described by Chien-ming Chao and Xue-zhong Zhang
FIGURE 20. Wohlfahrtia brevicornis Chao & Zhang, 1996 [= Wohlfahrtia grunini Rohdendorf, 1969], males. A. Body, lateral view, holotype. B. Head, right lateral view, holotype. C. Head, anterior view, holotype. D. Head, right anterolateral view, holotype. E. Terminalia, lateral view, paratype. F. Abdomen, laterodorsal view, holotype. G. Labels, holotype. H. Labels, paratype. Scales: A= 3.00 mm, B–E= 1.00 mm, F= 2.00 mm.
FIGURE 17 in The Sarcophagidae (Insecta: Diptera) described by Chien-ming Chao and Xue-zhong Zhang
FIGURE 17. Brachicoma nigra Chao & Zhang, 1988, males. A. Body, lateral view, holotype. B. Terminalia, lateral view, paratype. C. Head, anterior view, holotype. D. Head, anterolateral view, holotype. E. Head, lateral view, holotype. F. Abdomen, dorsal view, holotype. G. Labels, holotype. H. Labels, paratype. Scales: A= 3.00 mm, B= 0.50 mm, C–F= 2.00 mm.
FIGURE 16 in The Sarcophagidae (Insecta: Diptera) described by Chien-ming Chao and Xue-zhong Zhang
FIGURE 16. Agria xiangchengensis Chao & Zhang, 1988 [= Mimagria xiangchengensis (Chao & Zhang, 1988)], male, holotype. A. Body, lateral view. B. Terminalia, lateral view. C. Head, anterior view. D. Head, lateral view. E. Left hind leg, anterior view. F. Abdomen, dorsal view. G. Labels. Scales: A= 2.00 mm, B= 0.5 mm, C–F= 1.00 mm.
FIGURE 31 in The Sarcophagidae (Insecta: Diptera) described by Chien-ming Chao and Xue-zhong Zhang
FIGURE 31. Leucomyia dukoicus Zhang & Chao, 1988 [= Sarcophaga (Leucomyia) alba (Schiner, 1868)], female, allotype. A. Body, lateral view. B. Head, lateral view. C. Head, anterior view. D. Head, anterolateral view. E. Abdomen, dorsal view. F. Labels. Scales: A= 2.00 mm, B–E= 1.00 mm.
FIGURE 14 in The Sarcophagidae (Insecta: Diptera) described by Chien-ming Chao and Xue-zhong Zhang
FIGURE 14. Sphenometopa mesomelaenae Chao & Zhang, 1988 [= Sphenometopa stelviana Brauer & Bergenstamm, 1891], male, holotype. A. Body, lateral view. B. Terminalia, lateral view. C. Right fore tarsus, posterodorsal view. D. Head, anterior view. E. Head, anterolateral view. F. Head, lateral view. G. Body, dorsal view. H. Labels. Scales: A= 2.00 mm, B & C = 0.50 mm, D–G= 1.00 mm.
FIGURE 27 in The Sarcophagidae (Insecta: Diptera) described by Chien-ming Chao and Xue-zhong Zhang
FIGURE 27. Heteronychia (Eupierretia) brachystylata Chao & Zhang, 1988 [= Sarcophaga (Heteronychia) plotnikovi Rohdendorf, 1925], male, holotype. A. Body, lateral view. B. Terminalia, lateral view. C. Head, anterior view. D. Head, anterolateral view. E. Head, lateral view. F. Body, dorsal view. G. Labels. Scales: A= 3.00 mm, B–F= 1.00 mm.
FIGURE 11 in The Sarcophagidae (Insecta: Diptera) described by Chien-ming Chao and Xue-zhong Zhang
FIGURE 11. Senotainia (s. str.) mongolica Chao & Zhang, 1988 [= Senotainia fani Verves, 1994], female, allotype. A. Body, lateral view. B. Head, lateral view. C. Head, anterior view. D. Head, anterolateral view. E. Abdomen, dorsal view. F. Labels. Scales: A & E= 1.00 mm, B–D= 0.50 mm.
ScienceDex guides
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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.