Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
226
datasets available to search
ShareScore release 0.9.0
Dataset results
226 results for “symmetry”
Fig. 8 in Symmetry disorders of the test of the Miocene echinoid Echinocyamus from Poland
Fig. 8. Deformed test of Echinocyamus apicatus Mortensen, 1948 (MWG/E/12) from Korytnica, Badenian. L+R− anomaly (5−ray changed symmetry). A. Aboral side. B. Oral side. C. Close−up of apical system. A1, B1, C1, photos of the specimen; A2, B2, C2, explanatory drawings of the same. I–V growth zone; O, ocular pore; G, gonopore (genital pore); H, hydropore.
Fig. 7 in Symmetry disorders of the test of the Miocene echinoid Echinocyamus from Poland
Fig. 7. Deformed test of Echinocyamus apicatus Mortensen, 1948 (MWG/E/11) from Korytnica, Badenian. L−R+ anomaly (5−ray changed symmetry). A. Aboral side. B. Oral side. C. Close−up of apical system. A1, B1, C1, photos of the specimen, A2, B2, C2, explanatory drawings of the same. I–IV, growth zone; O, ocular pore; G, gonopore (genital pore); H, hydropore.
Fig. 6 in Symmetry disorders of the test of the Miocene echinoid Echinocyamus from Poland
Fig. 6. Deformed test of Echinocyamus apicatus Mortensen, 1948 from Korytnica, Badenian, illustrating the changing position of the periproct in R− anomaly (4−ray symmetry). A. MWG/E/8; aboral side (A1), oral side (A2). B. MWG/E/9; aboral side (B1), oral side (B2). C. MWG/E/10; aboral side (C1), oral side (C2). Scale bars 0.5 mm.
Fig. 5 in Symmetry disorders of the test of the Miocene echinoid Echinocyamus from Poland
Fig. 5. Deformed test of Echinocyamus apicatus Mortensen, 1948 (MWG/E/7) from Korytnica, Badenian. R− anomaly (4−ray symmetry). A. Aboral side. B. Oral side. C. Close−up of apical system. A1, B1, C1, photos of the specimen; A2, B2, C2, explanatory drawings of the same. I–V, growth zone; O, ocular pore; G, gonopore (genital pore); H, hydropore.
Fig. 3 in Symmetry disorders of the test of the Miocene echinoid Echinocyamus from Poland
Fig. 3. Deformed test of Echinocyamus apicatus Mortensen, 1948 (MWG/E/3) from Korytnica, Badenian. L− anomaly (4−ray symmetry). A. Aboral side. B. Oral side. C. Close−up of apical system. A1, B1, C1, photos of the specimen, A2, B2, C2, explanatory drawings of the same. I–V growth zone; O, ocular pore; G, gonopore (genital pore); H, hydropore.
Fig. 2 in Symmetry disorders of the test of the Miocene echinoid Echinocyamus from Poland
Fig. 2. Deformed test of Echinocyamus apicatus Mortensen, 1948 (MWG/E/1) from Korytnica, Badenian. L+ anomaly (6−ray symmetry). A. Aboral side. B. Oral side. C. Close−up of apical system. A1, B1, C1, photos of the specimen; A2, B2, C2, explanatory drawings of the same. I–V growth zone; O, ocular pore; G, gonopore (genital pore); H, hydropore.
Fig. 1 in Symmetry disorders of the test of the Miocene echinoid Echinocyamus from Poland
Fig. 1. Correctly developed test of fibulariid echinoid Echinocyamus apicatus Mortensen, 1948 (MWG/E/0) from Korytnica, Badenian. A. Aboral side. B. Oral side. C. Close−up of apical system. A1, B1, C1, photos of the specimen; A2, B2, C2, explanatory drawings of the same. I–V, growth zone; O, ocular pore; G, gonopore (genital pore); H, hydropore.
Fig. 4 in Symmetry disorders of the test of the Miocene echinoid Echinocyamus from Poland
Fig. 4. Deformed test of Echinocyamus calariensis (Lambert, 1907) (MWG/E/1P) from Korytnica, Badenian. L− anomaly (4−ray symmetry). A. Aboral side. B. Oral side. C. Close−up of apical system. A1, B1, C1, photos of the specimen; A2, B2, C2, explanatory drawings of the same. I–V growth zone; O, ocular pore; H, hydropore.
Data and models for: Learning Ordering in Crystalline Materials with Symmetry-Aware Graph Neural Networks
<p>Data (ver 1.1) and trained models for our paper "<a href="https://arxiv.org/abs/2409.13851">Learning Ordering in Crystalline Materials with Symmetry-Aware Graph Neural Networks</a>". If you use such data or models, please cite our paper. These three directories need to be downloaded and copied into our source codes in order to reproduce our paper: <a href="https://github.com/learningmatter-mit/PerovskiteOrderingGCNNs">https://github.com/learningmatter-mit/PerovskiteOrderingGCNNs</a></p> <ul> <li>data: All data files for training and evaluating GCNNs, with a copy archived on the Materials Data Facility (<a href="https://doi.org/10.18126/ncqt-rh18">DOI: 10.18126/ncqt-rh18</a>)</li> <li>saved_models: All saved model files for evaluating GCNNs</li> <li>best_models: All best model files for evaluating GCNNs</li> </ul>
Symmetry_Dataset
<p>This is the symmetry dataset generated based on a concept called wallpaper group. There are 17 categories of symmetry which is well labelled in the hdf5 file dataset.</p>
Particle–hole symmetry protects spin-valley blockade in graphene quantum dots
<p> Experimental data and python scripts used to evaluate the data and to perform simulations for the publication</p> <p>" Particle-hole symmetry protects spin-valley blockade in graphene quantum dots " in Nature.</p> <p>https://doi.org/10.1038/s41586-023-05953-5</p> <p> </p>
The evolution of local co-occurrence in birds in relation to latitude, degree of sympatry, and range symmetry
<p>This study analyzes a large sample of occurrence records (7,834,063 checklists from the eBird project) of 887 passerine bird species distributed globally. Under the assumption that speciation and trait divergence rates are faster in temperate areas and that trait divergence does promote local secondary contact of newly evolved species, the expectaction is that local co-occurrence increases with latitude.Syntopy increased from the Southern to Northern Hemisphere and was positively related to sympatry and range symmetry.</p> <p> </p>
Data from: The symmetry spectrum in a hybridising, tropical group of rhododendrons
Open the record for dataset details and reuse information.
Microscopy and biophysical data for: Synthetic control of actin polymerization and symmetry breaking in active protocells
Open the record for dataset details and reuse information.
Data from: Emergent electrostatics in planar XY spin models: The bridge connecting topological order with broken U(1) symmetry
Open the record for dataset details and reuse information.
Dataset for: Synchrony and symmetry-breaking in active flagellar coordination
<p><strong>We upload video files accompanying the article <em>Synchrony and symmetry-breaking in active flagellar coordination</em> – all scalebars are 10 µm. Files are in uncompressed .avi format. </strong></p> <ol> <li>V1 – A quadriflagellate gait transition from a spinning gait to a trotting gait. </li> <li>V2 – A quadriflagellate symmetry breaking gait.</li> <li>V3 – Another quadriflagellate symmetry breaking gait. </li> <li>V4 – A quadriflagellate resetting its forward-swimming gait after a shock response.</li> <li>V5 – A quadriflagellate gait with two of four flagella active. </li> <li>V6 – A quadriflagellate being caught by micropipette aspiration.</li> <li>V7 – Demonstrating gait-mechanosensitivity in a micropipette-fixed quadriflagellate.</li> <li>V8 – The axial rotation of an octoflagellate during swimming.</li> <li>V9 – The rotary breaststroke of an octoflagellate during swimming.</li> <li>V10 – The octoflagellate search gait in which one flagellum is extended. </li> <li>SV1 – A quadriflagellate gait with 1 out of 4 flagella active.</li> <li>SV2 – A quadriflagellate gait with 2 out of 4 flagella active.</li> <li>SV3 – A quadriflagellate gait with 3 out of 4 flagella active.</li> <li>SV4 – A quadriflagellate gait with 4 out of 4 flagella active.</li> <li>SV5 – A quadriflagellate being caught by micropipette aspiration (top view).</li> <li>SV6 – An octoflagellate "phase slip".</li> <li>SV7 – Another example of the octoflagellate search gait (one flagellum is extended). </li> </ol>
Data from: The size, symmetry, and color saturation of a male guppy's ornaments forecast his resistance to parasites
Sexually selected ornaments range from highly dynamic traits to those that are fixed during development and relatively static throughout sexual maturity. Ornaments along this continuum differ in the information they provide about the qualities of potential mates, such as their parasite resistance. Dynamic ornaments enable real-time assessment of the bearer's condition: they can reflect an individual's current infection status, or resistance to recent infections. Static ornaments, however, are not affected by recent infection but may instead indicate an individual's genetically-determined resistance, even in the absence of infection. Given the typically aggregated distribution of parasites among hosts, infection is unlikely to affect the ornaments of the vast majority of individuals in a population: static ornaments may therefore be the more reliable indicators of parasite resistance. To test this hypothesis, we quantified the ornaments of male guppies, Poecilia reticulata, before experimentally infecting them with Gyrodactylus turnbulli. Males with more left-right symmetrical black coloration and those with larger areas of orange coloration, both static ornaments, were more resistant. However, males with more saturated orange coloration, a dynamic ornament, were less resistant. Female guppies often prefer symmetrical males with larger orange ornaments, suggesting parasite-mediated natural and sexual selection act in concert on these traits.
Data for the article "Commensurability between element symmetry and the number of skyrmions governing skyrmion diffusion in confined geometries"
<p>Data for the article "Commensurability between element symmetry and the number of skyrmions governing skyrmion diffusion in confined geometries" (<a href="https://arxiv.org/abs/2009.03995">[2009.03995] Commensurability governing skyrmion diffusion in confined geometries (arxiv.org)</a>)</p>
Reducing the runtime of fault-tolerant quantum simulations in chemistry through symmetry-compressed double factorization
<p>Data repository for "Reducing the runtime of fault-tolerant quantum simulations in chemistry through symmetry-compressed double factorization" <a href="https://arxiv.org/abs/2403.03502" target="_blank" rel="noopener">arXiv:2403.03502</a>.</p>
Supplementary material to 'Exotic Symmetry Breaking Properties of Self-Dual Fracton Spin Models'
<p>I. GENERAL INFORMATION</p> <p>1. Title<br>Dataset of "Degeneracy and Scaling Properties of Self-Dual Fracton Spin Models"</p> <p>2. Author Information<br> <br>Giovanni Canossa [1,2], Lode Pollet [1,2], Miguel A. Martin-Delgado [3,4], Hao Song [5], and Ke Liu [1,2,6,7]<br>1. Arnold Sommerfeld Center for Theoretical Physics, University of Munich</p> <p>2. Munich Center for Quantum Science and Technology (MCQST)</p> <p>3. Departamento de Física Teórica, Universidad Complutense, 28040 Madrid, Spain</p> <p>4. CCS-Center for Computational Simulation, Universidad Politécnica de Madrid, Spain</p> <p>5. CAS Key Laboratory of Theoretical Physics, Institute of Theoretical Physics, Chinese Academy of Sciences, China</p> <p>6. Hefei National Research Center for Physical Sciences at the Microscale, University of technology of China</p> <p>7. Shanghai Research Center for Quantum Science and CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China</p> <p>Links to publications that cite or use the data:<br>TBA</p> <p>II. Files</p> <p>1. Convention</p> <p>Datas from the multicanonical MC simulations are stored in "Tetra-Ising" and "Fractal-Ising" folders.</p> <p>Lattice size: Each subfolder is named "L=value" where value denotes the linear system size.</p> <p>Multicanonical weights: Files "g_init_T=value.data" contains the set of log(weights) at a given temperature and lattice size, derived from the iterative weight-learning procedure.</p> <p>Datas: HDF5 files "name.out.h5" contain the results of the multicanonical MC simulation at a given lattice size.</p> <p><br>III. Data in HDF5 file</p> <p>1. Convention</p> <p>The results obtained at each temperature point is stored in a separate subdirectory of the .out.h5 file. Each of these subdirectories contains:</p> <p>Energy_Hist: normalized energy histograms obtained from the multicanonical MC simulation (unweighted)</p> <p>Energy_Hist_rw: normalized reweighted energy histograms. For each bin, Energy_Hist_rw[i] = Energy_Hist[i] * e**g[i] / norm, where norm = sum( Energy_Hist[i] * e**g[i] ).</p> <p>c: 1/norm. Gives an estimate of the ratio Z_muca/Z_ca.</p> <p>g: vector containing the weights used for the multicanonical MC simulation at that specific temperature. These are derived from reweighting the weights in "g_init_T=value.data" file.</p> <p>Energy, Energy_Susc, Energy_Kurt Q_x, Q_x_Susc, Q_x_Kurt: canonical expectation value of each relevant observables, along with their susceptibilities and Kurtosis, obtained by reweighting each measurement taken during the simulation by the appropriate weight. (NB: Energy and Q_x need to be multiplied by C in order to give the correct canonical expectation value.)</p> <p><br>2. Relevance</p> <p>These data reproduce Figs. 5 & 6 in the manuscript.</p> <p><br>III. Finite size scaling</p> <p>1. Convention</p> <p>All estimated transition temperatures with their respective uncertainties are stored in "fitting_Tetra" and "fitting_Fractal" folders in the fittemps.txt file.</p> <p>2. Relevance</p> <p>These data reproduce Figs. 3 & 4 in the manuscript.<br> </p> <p> </p>
ScienceDex guides
Understand access before you commit
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.