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”
Nonlinear dielectric geometric-phase metasurface with simultaneous structure and lattice symmetry design
Open the record for dataset details and reuse information.
Two- and one-photon absorption spectra of aqueous thiocyanate anion highlight the role of symmetry in the condensed phase
<p>The snapshots.zip contains the snapshots extracted from QM/MM AIMD simulations used in 2PA calculations</p><p>The 2pa_inp_out.zip contains the 2PA calculation input and output files for each of the snapshots. </p>
QMC Raw Data for Disentangling the Physics of the Attractive Hubbard Model via the Accessible and Symmetry-Resolved Entanglement Entropies
<p><strong>Data Summary</strong></p> <p>Raw data of 'Disentangling the Physics of the Attractive Hubbard Model via the Accessible and Symmetry-Resolved Entanglement Entropies'.</p> <p>The default Julia RNG generates random seeds, with the seed number corresponding to the last four digits of each file name..</p> <p>For more details, please check README.md on the GitHub repository.</p> <p>The scripts for processing the raw data are located in the data folder within the same repository.</p>
Adapting spatiotemporal gait symmetry to electrical stimulation during treadmill walking
<p>Individuals with neurological impairments often exhibit asymmetrical gait patterns. This study highlighted the potential of functional electrical stimulation (FES) to improve gait symmetry during treadmill training and investigated whether our proposed FES perturbation paradigm could induce gait adaptation concerning spatial and temporal gait symmetry in healthy subjects. In the FES perturbation paradigm, both legs received electrical pulses at the same period as the subjects' initial stride duration, and the temporal gap between the two pulses for each leg was manipulated over 7 minutes. Following this, subjects continued to walk for another 5 minutes without FES. For the implicit trial (unconscious reaction to FES), subjects were asked to walk comfortably in response to the stimulation. For the explicit trial (conscious reaction to FES), subjects were asked to explicitly synchronize their toe-off phase to the stimulation. To examine the effects of the FES perturbation, we measured step length and stance time and then analyzed changes in step length and stance time symmetries alongside their subsequent aftereffects. In this study, regardless of whether subjects adapted their gait patterns to the electrical pulses explicitly or implicitly, a directional change was observed in stance time (temporal) symmetry under both conditions, with the right stance becoming longer than the left. The stance time asymmetry induced by FES perturbation resulted in a slight residual effect. No consistent trend of step length (spatial) symmetry changes was observed in either condition. This indicates that subjects may adapt their spatial gait patterns through diverse mechanisms. Our findings suggest that the applied FES perturbation strategy can induce adaptations in subjects' temporal gait asymmetry, particularly while in stance. Further experiments would provide a deeper understanding of the mechanism behind subjects' response to FES perturbations, as well as the long-term effects of these perturbations on the spatial and temporal aspects of gait symmetry.</p>
Movies for charge densities and POSCAR files for the paper: Revealing Symmetry-broken Superconducting Configurations by Density Functional Theory
Open the record for dataset details and reuse information.
Symmetry-Aware Autoencoders
<p>This repository contains data for reconstructing the PCA, s-PCA, nlPCA and s-nlPCA results from the paper Symmetry-Aware Autoencoders: s-PCA and s-nlPCA. The codes needed for this can be found at https://github.com/simonkneer/Symmetry-Aware-Autoencoding .</p>
Data for Imaging tunable quantum Hall broken-symmetry orders in graphene
<p>Data plots in spreadsheet form</p>
Source data for "Membrane curvature sensing and symmetry breaking of the M2 proton channel from Influenza A"
<p>Data files for Figures 2 and 3. </p>
Source Data for Xiao et al., Topological Superfluid Defects with Discrete Point Group Symmetries , Nature Communications 13, 4635 (2022).
<p>Source data for Figures 2-5. Source data for Supplementary Figures S2-S5 available upon request to David Hall (dshall@amherst.edu).</p>
Data and code for "Symmetries in TEM imaging of crystals with strain"
<p>Code and data related to manuscript "On Symmetries in TEM imaging of crystals with strain",<br> arXiv preprint arXiv:2206.01689. To be published in Proc. Royal. Soc. A</p> <p> </p>
Interaction-induced strong zero modes in short quantum dot chains with time-reversal symmetry
<p>The code repository for the manuscript "<span>Interaction-induced strong zero modes in short quantum dot</span><br><span>chains with time-reversal symmetry".</span></p>
A Cosmic-Scale Benchmark for Symmetry-Preserving Data Processing
<h1>Overview</h1> <p>This dataset is derived from the <a href="https://quijote-simulations.readthedocs.io/en/latest/bsq.html">Big Sobol Sequence (BSQ) of the Quijote simulations</a>, a collection of N-body simulations designed for machine learning applications. Each simulation consists of a point cloud (points in space, with 3D coordinates attached to them) generated under a varying set of cosmological parameters. Each point represents a simulated galaxy and is accompanied by associated properties such as velocity and mass. The cardinality of each point cloud is 5000 points. The dataset is split into 11,200 simulations in the training set, 608 in the validation set, and 576 in the test set. </p> <h1>File structure</h1> <p>The dataset is provided in <a href="https://www.tensorflow.org/tutorials/load_data/tfrecord">TFRecord format</a>. The training simulations are split across 50 TFRecord files following the naming convention <code>halos_train_<i>.tfrecord</code>. The validation and test sets are provided in <code>halos_val_1.tfrecord</code> and <code>halos_test_1.tfrecord</code>, respectively.</p> <p>Each dataset can be loaded using TensorFlow as shown in the code example below:</p> <div> <blockquote> <div>import tensorflow as tf<br><br>files = tf.io.gfile.glob(f"halos*train*.tfrecord") # replace 'train' with 'val' or 'test'</div> <div>dataset = tf.data.TFRecordDataset(files)</div> </blockquote> </div> <h2>TFRecord structure</h2> <p>Each record (corresponding to a point cloud) in a TFRecord file contains the following feature fields:</p> <ul> <li><code><strong>"x"</strong></code>: <em>(tensor of shape [5000], dtype=float)</em> - Position along x axis</li> <li><code><strong>"y"</strong></code>: <em>(tensor of shape [5000], dtype=float)</em> - Position along y axis</li> <li><code><strong>"z"</strong></code>: <em>(tensor of shape [5000], dtype=float)</em> - Position along z axis</li> <li><code><strong>"v_x"</strong></code>: <em>(tensor of shape [5000], dtype=float)</em> - Velocity along x axis</li> <li><code><strong>"v_y"</strong></code>: <em>(tensor of shape [5000], dtype=float)</em> - Velocity along y axis</li> <li><code><strong>"v_z"</strong></code>: <em>(tensor of shape [5000], dtype=float)</em> - Velocity along z axis</li> <li><code><strong>"J_x"</strong></code>: <em>(tensor of shape [5000], dtype=float)</em> - Angular momentum along x axis</li> <li><code><strong>"J_y"</strong></code>: <em>(tensor of shape [5000], dtype=float)</em> - Angular momentum along y axis</li> <li><code><strong>"J_z"</strong></code>: <em>(tensor of shape [5000], dtype=float)</em> - Angular momentum along z axis</li> <li><code><strong>"M200c"</strong></code>: <em>(tensor of shape [5000], dtype=float)</em> - Virial mass</li> <li><code><strong>"Omega_m"</strong></code>: <em>(float)</em> - Matter density</li> <li><code><strong>"Omega_b"</strong></code>: <em>(float)</em> - Baryon density</li> <li><code><strong>"h"</strong></code>: <em>(float)</em> - Hubble parameter</li> <li><code><strong>"n_s"</strong></code>: <em>(float)</em> - Density perturbation spectral index</li> <li><code><strong>"sigma_8"</strong></code>: <em>(float)</em> - RMS matter fluctuation amplitude on a scale of 8 Mpc/h</li> <li><code><strong>"tpcf"</strong></code>: <em>(tensor of shape [24], dtype=float)</em> - Two-point correlation function</li> </ul> <p> </p>
Superconducting diode effect under time reversal symmetry
<p>In noncentrosymmetric superconductors, superconducting and normal conductions can interchange based on the current flow direction. This effect is termed a superconducting diode effect (SDE), which is a focal point of recent research. The broken inversion and time reversal symmetry is believed to be the requirements of SDE but their intrinsic role has remained elusive. Here, we report strain-controlled SDEs in a layered trigonal superconductor, PbTaSe2. The SDE was found exclusively in a strained device with its absence in an unstrained device, despite that it is allowed in unstrained trigonal structure. Moreover, the zero-field or magnetic field-even (magnetic field-odd) SDE is observed when the strain and current are along armchair (zigzag) direction The results unambiguously demonstrate the intrinsic SDE under time-reversal symmetry and the critical role of strain-induced electric polarization.</p>
Symmetry Enforced Fermi Surface Degeneracies Observed in Time-Reversal Symmetry-Breaking Superconductor LaNiGa2
<p>ARPES data for manuscript "Symmetry Enforced Fermi Surface Degeneracies Observed in Time-Reversal Symmetry-Breaking Superconductor LaNiGa2"</p>
Data for "Directed crystalline symmetry transformation of blue-phase liquid crystals by reverse electrostriction"
<p>Experimental and numerical data associated with the paper "Directed crystalline symmetry transformation of blue-phase liquid crystals by reverse electrostriction."</p>
Data and code for figures: Polychromatic Cherenkov radiation induced group velocity symmetry breaking in counterpropagating dissipative Kerr solitons
<p>This dataset contains the data presented in the Figures of the paper <Polychromatic Cherenkov radiation induced group velocity symmetry breaking in counterpropagating dissipative Kerr solitons>.</p>
FIGURE 1 in An account of the liverwort genus Porella in Thailand with a new record, P. obtusata var. macroloba and the occurrence of asymmetrical underleaves associated with left-right symmetry in the genus
FIGURE 1. Porella obtusata (Taylor) Trevis var. macroloba (Steph.) S.Hatt. & M.X.Zhang. A. Portion of shoot, dorsal view. B. Portion of shoot, ventral view. C. Leaf lobes, ventral view. D. Leaf lobes and leaf lobules, dorsal view. E. Leaf lobes and leaf lobules, ventral view. F. Underleaves on right-hand branches, showing asymmetrical auriculate base. G. Underleaves on left-hand branches, showing asymmetrical auriculate base. H. Leaf apex. I. Margin cells of leaf lobe. J. Median cells of leaf lobe. K. Basal cells of leaf lobe. [All from Sukkharak 91/1186 (Hb. Burapha Univ.)].
Source data for the manuscript "Time-Variant Parity-Time Symmetry in Frequency-Scanning Systems"
Open the record for dataset details and reuse information.
Figure 4 in Morphological symmetry of Rhipidomys mastacalis (Mammalia, Rodentia, Cricetidae) in fragmented habitats of the Atlantic Forest in Northeastern Brazil: a study on the influence of the environment on an endemic species
Figure 4: Scatter diagrams based on a simple linear model (fluctuating asymmetry vs. vegetation cover), for four anatomical structures of Rhipidomys mastacalis three vegetation classes in Northeastern Brazil. The trend line is shown in black; the gray area represents the 95 % of confidence intervals.
Figure 1 in Morphological symmetry of Rhipidomys mastacalis (Mammalia, Rodentia, Cricetidae) in fragmented habitats of the Atlantic Forest in Northeastern Brazil: a study on the influence of the environment on an endemic species
Figure 1: Map of Northeastern Brazil, showing the geographical location of the Rhipidomys mastacalis samples selected for this study.
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.