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345 results for “cracking”
FIGURE 1 in Phylogeny of Dynastor and Brassolis butterflies (Lepidoptera: Nymphalidae): a tough nut to crack
FIGURE 1. Dynastor species in dorsal (left) and ventral (right) views. (A) Male D. napoleon from Santa Catarina (Brazil). (B) Female D, napoleon from Rio de Janeiro (Brazil). (C & D) Male and female D. macrosiris from French Guiana and Mexico, respectively. (E & F) Male and female D. darius from São Paulo (Brazil).
FIGURE 4 in Phylogeny of Dynastor and Brassolis butterflies (Lepidoptera: Nymphalidae): a tough nut to crack
FIGURE 4. (A) Strict consensus tree from the analysis of 57 characters with K=3. (B & C) Two of the most parsimonious trees, the third tree had the same topology of the strict consensus. Relative Bremer support (on the left) and Jackknife values (on the right) are on the left hand of the branches.
FIGURE 6 in Phylogeny of Dynastor and Brassolis butterflies (Lepidoptera: Nymphalidae): a tough nut to crack
FIGURE 6. Strict consensus of three trees found when B. sophorae and B. astyra subspecies were used as terminals.
FIGURE 3 in Phylogeny of Dynastor and Brassolis butterflies (Lepidoptera: Nymphalidae): a tough nut to crack
FIGURE 3. Brassolis species, in dorsal (left) and ventral (right) views (except for C). (A & B) Male and female B. isthmia from Panama. (C) Male B. isthmia from Costa Rica. (D) Male of granadensis from Colombia. (E) Detail showing head and proboscis of B. isthmia from Panama. (F & G) Male and female B. astyra from Rio de Janeiro (Brazil). (H) Male B. astyra from Rio Grande do Sul (Brazil).
FIGURE 9. Female characters. Scale bars, 1 in Phylogeny of Dynastor and Brassolis butterflies (Lepidoptera: Nymphalidae): a tough nut to crack
FIGURE 9. Female characters. Scale bars, 1 mm. Female distal tarsomere in ventral view (details of pulvillar process omitted). (A) Dynastor darius. Sterigma in ventral view. (B) D. darius. (C) B. isthmia. (D) B. astyra. (E) B. dinizi. Posterior lobes of papillae annales in lateral view. (F) Elymnias hypermnestra. (G) D. napoleon. (H) B. haenschi. Note that the lamella antevaginalis is not visible in C, D, and E due to the orientation of the drawing.
FIGURE 7 in Phylogeny of Dynastor and Brassolis butterflies (Lepidoptera: Nymphalidae): a tough nut to crack
FIGURE 7. Wing characters. (A) Brassolis dizini. (B) B. astyra. (C) B. haenschi. (D) Dynastor darius.
FIGURE 2 in Phylogeny of Dynastor and Brassolis butterflies (Lepidoptera: Nymphalidae): a tough nut to crack
FIGURE 2. Brassolis species in dorsal (left) and ventral (right) views. (A & B) Male and female B. sophorae from French Guiana. (C & D) Female and male B. sophorae from Ecuador. (E & F) Male and female B. haenschi from Ecuador. (G) Male B. sophorae from Trinidad. (H) Male B. sophorae from Peru. (I & J) Male and female B. dinizi from Paraiba and Ceará respectively (Brazil). (K) Male B. sophorae from Santa Catarina (Brazil). (L) Male B. sophorae from Paraguay.
FIGURE 5 in Phylogeny of Dynastor and Brassolis butterflies (Lepidoptera: Nymphalidae): a tough nut to crack
FIGURE 5. (A–E) Five resolutions obtained from a search without collapsing zero-length branches showing optimization of both unambiguous and ambiguous transformations. Symbols follow the legend in Fig. 4. The horizontal bars above the trees indicate the sophorae-clade.
Data for "In situ stable crack growth at the micron scale"
<p>Data for "In situ stable crack growth at the micron scale"</p>
Crack width and crack spacing in reinforced and prestressed concrete elements: database
<p>This database contains information on 31 experimental programs performed by various researchers. Each experimental program contains structural elements in which the crack width and spacing were measured. The database contains over twenty thousand data points and consists of three levels:</p> <ul> <li>Level 1: Describes the considered experimental program.</li> <li>Level 2: Describes properties of structural elements and material specimens within an experimental program.</li> <li>Level 3: Describes the loads and data points.</li> </ul> <p>The master database is queried in SQL and published as a .xlsx file. The structure of the dataset is explained in the README.</p> <p> </p>
Breathing Phenomenon of Soil Desiccation Cracking: Insights from Novel Geophysical Observations
<p>Jin-Jian Xu, Chao-Sheng Tang*, Yaowen Yang, Lin Li, Hao Zhang, Qing Cheng, Xi-Ying Zhang, Bo Liu, Bin Shi</p>
Cracked Vase
Orange-nude with black lines cracked vase. Source: Objaverse 1.0 / Sketchfab
Physical deep symbolic regression to learn crack tip correction formulas
<p>This repository publishes the data generated in the article "A universal crack tip correction algorithm discovered by physical deep symbolic regression" (see preprint: <a title="arXiv.2403.10320" href="https://doi.org/10.48550/arXiv.2403.10320" target="_blank" rel="noopener">arXiv.2403.10320</a>).</p> <p>This repository is structured with the following subfolders:</p> <ul> <li><strong><em>01_Simulation_Output</em></strong>: The results of the finite element (FE) simulations described in the paper</li> <li><strong><em>02_CrackPy_single_evaluation</em></strong>: For each FE simulation, the fracture analysis results of <a href="https://github.com/dlr-wf/crackpy" target="_blank" rel="noopener">CrackPy</a> performed with the crack tip as origin</li> <li><strong><em>04_CrackPy_random_evaluation_pipeline</em></strong>: For each FE simulation, the fracture analysis is performed at 1000 random perturbations of the crack tip position as origin and the results are stored in the subfolder <em>samples</em></li> <li><strong><em>05_1_PhySO_log_mode_I</em>,<em> 05_2_PhySO_log_mode_II, 05_3_PhySO_log_mixed_mode</em></strong>: These folders contain the logs of three distinct training runs of <a href="https://github.com/WassimTenachi/PhySO" target="_blank" rel="noopener">PhySO</a> - mode I, mode II, and mixed mode. For each of these three load cases, we train symbolic regression models for the x-correction and y-correction separately. The symbolic regression results are stored in the files <em>curves_pareto.csv </em></li> <li><strong><em>06_Pareto_Plots</em></strong>: The visualization of the Pareto front for each training run of PhySO</li> <li><strong><em>07_Plots_vector_fields</em></strong>: The correction vector fields for each discovered Pareto formula</li> <li><strong><em>08_Convergence_study_FEA</em></strong>: The iterative convergence behavior for the FE simulations data</li> <li><strong><em>13_Application</em></strong>: We applied the most promising formulas to experimental DIC data from uniaxial and biaxial fatigue crack growth experiments. The results are contained in this folder.</li> </ul> <p>The code to reproduce these results can be fould on our GitHub page at the following link: <a href="https://github.com/dlr-wf/crack_tip_correction_symbolic_regression" target="_blank" rel="noopener">https://github.com/dlr-wf/crack_tip_correction_symbolic_regression</a></p>
Dataset for Automatic Calibration of Microproperties for 3D Parallel Bond Model of Ultra-Deep Carbonate Rocks and the Influence of Confining Pressure on Crack Propagation Patterns
<p>The data set is composed of results of three-dimensional (3D) Discrete Element Method (DEM) modeling performed by Xiaoyun Cheng et al., with the licensed commercial <em>Particle Flow Code </em>3D version 6.0 (PFC3D 6.0) from Itasca Consulting Group, Ltd. Part of the Figures were made with Origin Pro, Version 2021. OriginLab Corporation,Northampton, MA, USA. Part of the Figures were made with ParaView, Version 5.13.1.</p>
Replication Package for "Cracks in The Stack: Hidden Vulnerabilities and Licensing Risks in LLM Pre-Training Datasets"
<p>Replication Package for "Cracks in The Stack: Hidden Vulnerabilities and Licensing Risks in LLM Pre-Training Datasets"<br><br>Includes datasets, and bash scripts.</p>
API X70 crack propagation tests
<p>Databases of crack propagation tests used for the master's thesis of Alexandre Henrique Oliveira, titled "EVALUATE CRACK GROWTH BY FATIGUE AT DIFFERENT TEMPERATURES IN A WELDED JOINT OF API X70 STEEL PIPES"</p>
Three dimensional microscale characterization of off-axis tunnelling cracks in non-crimp fabric based composites
<p>Video and x-ray data-sets behind the publications</p> <p>Bangaru, A.K., Mikkelsen, L.P. and, Sørensen, B.F. Three dimensional microscale characterization of off-axis tunnelling cracks in non-crimp fabric based composites, <em>Composites Science and Technology</em>, <strong>226</strong>, 109502, <a href="https://doi.org/10.1016/j.compscitech.2022.109502">https://doi.org/10.1016/j.compscitech.2022.109502</a>, 2022</p> <p>Videos: </p> <ul> <li>Figure 8: <a href="https://zenodo.org/api/files/cb486bb8-8183-4b67-bb03-4ed5e48d6d31/Fig08_CrackBranching_v1.mpg">Fig08_CrackBranching_v1.mpg</a>, <a href="https://youtu.be/rrp8Ax1er5I">Youtube-link</a></li> <li>Figure 10a: <a href="https://zenodo.org/api/files/cb486bb8-8183-4b67-bb03-4ed5e48d6d31/Fig10_a_MatrixPenetration.mpg">Fig10_a_MatrixPenetration.mpg</a>, <a href="https://video.dtu.dk/media/Fig10_a_MatrixPenetration.mpg/0_0ypbfkex">Video-link</a></li> <li>Figure 10b: <a href="https://zenodo.org/api/files/cb486bb8-8183-4b67-bb03-4ed5e48d6d31/Fig10_b_MatrixPenetration_HighResolution.mpg">Fig10_b_MatrixPenetration_HighResolution.mpg</a>, <a href="https://video.dtu.dk/media/Fig10_b_MatrixPenetration_HighResolution/0_1bexfv16">Video-link</a></li> <li>Figure 10c: <a href="https://zenodo.org/api/files/cb486bb8-8183-4b67-bb03-4ed5e48d6d31/Fig10_c_CrackTwisting_HighResolution.mpg">Fig10_c_CrackTwisting_HighResolution.mpg</a>, <a href="https://video.dtu.dk/media/Fig10_c_CrackTwisting_HighResolution/0_yphlldlh">Video-link</a></li> <li>Figure 14: <a href="https://zenodo.org/api/files/cb486bb8-8183-4b67-bb03-4ed5e48d6d31/Fig14_CrackPenetration_HighResolution.mpg">Fig14_CrackPenetration_HighResolution.mpg</a>, <a href="https://youtu.be/MO0VBdyYlAw">Youtube-link</a></li> <li>Figure 15: <a href="https://zenodo.org/api/files/cb486bb8-8183-4b67-bb03-4ed5e48d6d31/Fig15_CrackDeflection_HighResolution.mpg">Fig15_CrackDeflection_HighResolution.mpg</a>, <a href="https://video.dtu.dk/media/Fig15_CrackDeflection_HighResolution/0_cqw7xgyg">Video-link</a></li> </ul> <p>Scan data:</p> <ul> <li>Fig08_SpecimenS1_DataSet.txm: Data behind figure 8</li> <li>Fig10_a_SpecimenS2_DataSet_LowResolution_Stitch22_FoV6.5.txm: Data behind figure 10a</li> <li>Fig10_b_c_SpecimenS2_DataSet_HighResolution_FoV1.5.txm: Data behind figures 10b, 10c, 11, and 13</li> <li>Fig14_SpecimenS2_DataSet_HighResolution_FoV1.5.txm: Data behind figure 14</li> <li>Fig15_SpecimenS3_DataSet_HIghResolution_FoV1.5.txm: Data behind figure 15</li> </ul> <p> </p> <p> </p>
Dataset for article "Fatigue crack initiation and propagation relation at notched specimens with welded joint characteristics"
<p>The dataset presents is a collection of fatigue test data obtained from artificially notched specimens with weld characteristics. The data was used to investigate the relation between crack initiation and propagation in welded joints of different notch acuity (different radii and opening angle) by excluding the effect of geometrical variation along weld seams. The experiments show that the investigated relationship basically depends on the notch acuity, the load level and the stress ratio.</p> <p> </p> <p>For detailed information about the tests and the assessment please refer to the article:</p> <p>Braun M, Fischer C, Baumgartner J, Hecht M, Varfolomeev I. Fatigue Crack Initiation and Propagation Relation of Notched Specimens with Welded Joint Characteristics. <em>Metals</em>. 2022; 12(4):615. https://doi.org/10.3390/met12040615 </p>
Data set for phase-field studies in multi-crack-seal veins in quartz microstructures
<p>The numerical data in this repository consists of the simulation data of multi-crack-seak syntaxial quartz vein formation. The simulations were performed using the software package "Pace3D (v. 2.5.1)".</p> <p>The simulation data shows intermediate fracturing and growth stages and was converted from Pace3D output data format to VTK data format. The VTK files can be visualized using open source software packages like Paraview. Some data files in the subfolders are also compressed (file format *.gz). For visualization the data has to be decompressed with e.g. gzip or 7zip.</p>
Supplementary data for: "Transition from sub-Rayleigh anticrack to supershear crack propagation in snow avalanches"
<p>This Folder contains supplementary data for the paper "Transition from sub-Rayleigh anticrack to supershear crack propagation in snow avalanches". Please see ReadMe.txt for more details.</p> <p> </p>
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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.