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.
190
datasets available to search
ShareScore release 0.9.0
Dataset results
190 results for “two-dimensional”
Raw data to "Quantum phases of hardcore Bosons with repulsive dipolar density-density interactions on two-dimensional lattices"
<p>This directory contains all the unit cells with the respective resummed interactions used for the optimisation procedure to obtain the results in the work "Quantum phases of hardcore Bosons with repulsive dipolar density-density interactions on two-dimensional lattices". It also contains the results of the optimisation procedure described in "Quantum phases of hardcore Bosons with repulsive dipolar density-density interactions on two-dimensional lattices" which are used to draw the phase diagrams in the corresponding publication.</p><p>To get an overview of the organization of the directory and a description of the data we recommend the README file.</p><p>The preprint of the corresponding publication will be published in the next few days.</p>
Data and Code for "A two-site Kitaev chain in a two-dimensional electron gas"
<p>This folder contains the raw data and code used to generate the plots for the paper <em>Engineering Majorana bound states in coupled quantum dots in a two-dimensional electron gas.</em></p> <p>The manuscript can be found <a href="https://arxiv.org/abs/2311.03208">on Arxiv.</a></p> <p>To run the Jupyter notebooks, install Anaconda and execute:</p> <blockquote> <p><em>conda env create -f environment.yml </em></p> </blockquote> <p>followed by:</p> <blockquote> <p><em>conda activate </em>2DEG_Kitaev</p> </blockquote> <p>Finally,</p> <blockquote> <p><em>jupyter notebook</em></p> </blockquote> <p>to launch the notebooks</p> <p>Data is stored in the qcodes '.db' format. Datasets are transformed in the plotting functions to the xarray dataformat, before being processed.</p>
Dataset for Bright Excitonic Fine Structure in Metal-Halide Perovskites: From Two-Dimensional to Bulk
<p>This is the dataset of Posmyk, Katarzyna, et al. "Bright Excitonic Fine Structure in Metal-Halide Perovskites: From Two-Dimensional to Bulk." Journal of the American Chemical Society (2024). It consists of multiple subfolders, in which polarization resolved optical spectra and high magnetic field optical spectra can be found. In each subfolder, one can find raw data for photoluminescence and reflectivity spectra.</p> <p>n1 indicates the thickness of the inorganic quantum well (in this case n=1).</p> <p>filename structure: <br>Spot6_A_pol_win527_1uW_number of aquisitions _ aquisition time _HW_X.csv</p> <p><br>A:photoluminescence (PL) or reflectance (R)<br>X: degree on the half-wave plate</p> <p>pol/nonpol - polarised/nonpolarised<br>Excitation power: x uW <br>Spoty6 - spot on the sample<br>Grating center: win527 - 527 nm</p>
Probing structural superlubricity of two-dimensional water transport with atomic resolution.
<p>Here lies the tabulated data used to create the Figures for the Science manuscript ado1544 titled "Probing structural superlubricity of two-dimensional water transport with atomic resolution".</p>
Two-dimensional metalorganic ferromagnets
<p>Dataset of NiTCNE on Au(111).</p> <p>XPS, STM, nc-AFM data, XAS/XMCD/XLD spectra and XMCD magnetization data.</p>
Investigation of two-dimensional radio-frequency sheath properties using a microscale fluid model
<p>In previous work (Kohno H. and Myra J.R. 2023 Comput. Phys. Commun. 291 108841), we developed a numerical scheme based on a two-dimensional microscale radio-frequency (RF) sheath model with periodically curved wall boundaries. Here, we expand the capability of this scheme through modification of the boundary conditions (BCs) on the conducting walls, which allows the ion flow to turn back to the plasma at locations on the walls where the electromagnetic force on the ions is reversed from its usual direction. Numerical simulations are carried out to investigate the dependences of the surface-integrated admittances on the wall bump height, ion magnetization, ion mobility, and the magnetic field angle, and to visualize the sheath structures in several cases. One of the main results is the ion cyclotron admittance resonance observed under the condition of low ion mobility (high normalized frequency). It is shown that the amplitude of the resonance peak depends on the wall bump height and the ion velocity is reversed on the sides of the bump in an RF cycle for the resonance cases. Furthermore, the differences in the admittances between the one- and two-dimensional microscale models are assessed for the purpose of understanding non-locality of the sheath near the wall surface for the parameters considered in this study. This information will be essential for improving the sheath BC for macroscale calculations in the future.</p>
Regularized quantum periods for two-dimensional Fano manifolds
<p><strong>The database smooth_fano_2</strong></p> <p>This is a database of regularized quantum periods for two-dimensional Fano manifolds. There are ten entries in the database.</p> <p>Each entry in the database is a key-value record with keys and values as described in the paper:</p> <p><em>Databases of Quantum Periods for Fano Manifolds</em>, Tom Coates and Alexander M. Kasprzyk, 2021.</p> <p>If you make use of this data, please cite the above paper and the DOI for this data:</p> <p>doi:10.5281/zenodo.5708232</p>
Simulation files to accompany the manuscript "Two-dimensional basin-scale seismic site effects in the Kitimat Valley, British Columbia, Canada: A practical example of using a fast hybrid FE/BE method"
<p>Simulation files to accompany the two-dimensional basin-scale seismic site effects investigation in the Kitimat valley, located in the northern coastal region of British Columbia, Canada.</p>
Dataset: Two-dimensional wavefront characterization of adaptable corrective optics and Kirkpatrick–Baez mirror system using ptychography
<p>The ptychography datasets and processed wavefront data in support of the publication "Two-dimensional wavefront characterization of adaptable corrective optics and Kirkpatrick–Baez mirror system using ptychography". File are in the HDF format and contain a number of datasets detailed below. If you require more information, please contact the corresponding author of the publication or thomas.moxham@eng.ox.ac.uk</p>
Chiral flow in a binary mixture of two-dimensional active disks - Supplementary Data
<p>Supplementary data for the paper: "Chiral flow in a binary mixture of two-dimensional active disks"</p> <p> </p> <ol> <li>*_raw_trajectories.pkl.xz files contain tracking data for each experiment as a pickled Pandas DataFrame object (xz compression) in pixel units (particle diameter=77px)</li> <li>*_w.pkl.xz files contain self-rotation velocity for each experiment as a pickled Pandas DataFrame object (xz compression) in rad/s</li> <li>experiments_properties.dat is a summary table containing the average fields (including vorticity and kinetic energy) for all experiments. Also subdivided by species.</li> </ol>
Supporting Information: Mapping conduits in two-dimensional heterogeneous karst aquifers using hydraulic tomography
<p>This file contains the supplementary data for a article submitted to Journal of Hydrology.</p>
Data for: Development of a method for the measurement of human scent samples using comprehensive two-dimensional gas chromatography with mass detection
<p>This dataset was used for development of a method for the measurement of human scent samples using comprehensive two-dimensional gas chromatography with mass detection [<a href="https://doi.org/10.1016/j.forsciint.2016.09.011">https://doi.org/10.1016/j.forsciint.2016.09.011</a>].</p> <p>The dataset contains chromatograms of a model mixture of human scent and chromatograms of the human scent of one volunteer measured on different column setups. Each sample was processed in ChromaToF(version 4.72.0.0) by LECO corp. The processing step was executed at the signal-to-noise (SN) ratio levels 100, 300, and 500 (human scent samples chromatograms).</p>
Edelstein effect in an anisotropic KTaO3 two-dimensional electron gas
<p>This dataset contains the band-resolved Edelstein conversion efficiency versus the Fermi energy for a KTaO3 (001) 2DEG modeled by a tight-binding model with different on-site energies of the dzx and dyz orbitals leading to anisotropy of the model. The on-site difference is Delta E_yz-Delta E_zx=30meV. The spin ("s") and orbital ("l") Edelstein conversion efficiencies are given. Further, the iso-energy lines with spin and orbital textures are given for the isotropic ("iso", E=-15meV) and anisotropic ("aniso", E=5meV) tight-binding model, respectively.</p>
Spin and orbital textures of KTaO3 (001) two-dimensional electron gases from a tight-binding model
<p>The dataset contains the iso-energy lines with the expectation values of spin and orbital moments of KTaO3 (001) two-dimensional electron gases for selected energies. The data was generated using a tight-binding model.</p>
Edelstein effect in KTaO3 (001) two-dimensional electron gases
<p>This dataset contains the band-resolved Edelstein conversion efficiency versus the Fermi energy for a KTaO3 (001) 2DEG modeled by a tight-binding model. The spin ("s") and orbital ("l") Edelstein conversion efficiencies are given.</p>
Two-dimensional Energy Histograms as Features for Machine Learning to Predict Adsorption in Diverse Nanoporous Materials
<p>This repo contains the supplementary data sets for the to-be-published paper entitled "Two-dimensional Energy Histograms as Features for Machine Learning to Predict Adsorption in Diverse Nanoporous Materials".</p> <p> </p> <p>This repo contains the following data sets:</p> <p>1. CIF files for amorphous porous materials (activated carbon, hyper-cross-linked polymers, Kerogen, PIMs).</p> <p>2. Grand canonical Monte Carlo (GCMC) simulation results for single-component adsorption isotherms in ToBaCCo1.0 MOFs and in amorphous porous materials. Gas molecules include Kr, Xe, ethane, propane, butane, n-hexane, and 2,2-dimethylbutane.</p> <p>3. Textural properties of ToBaCCo1.0 MOFs and amorphous porous materials.</p> <p>4. Trained machine learning models. R code that can work with these ML models is hosted on <a href="https://github.com/snurr-group/2D-energy-histogram">GitHub</a>. </p>
Estimation of curvature from volume fractions using parabolic reconstruction on two-dimensional unstructured meshes (Supporting data)
<p>This data accompanies the paper "Estimation of curvature from volume fractions using parabolic reconstruction on two-dimensional unstructured meshes", published in Journal of Computational Physics (2017). The document "supportingdata.pdf" gives a description of the data provided in the txt-files.</p>
Data for coherence measurements of polaritons in thermal equilibrium reveal a power law for two-dimensional condensates
<p>All the raw data sets collected for this project are included in this submission. The code for the numerics is also included. 'Readme.text' files are included with the data sets explaining what the data sets are and how to read them. </p>
Supplementary data to "Quantum-critical properties of the one- and two-dimensional random transverse-field Ising model from large-scale quantum Monte Carlo simulations"
<p>This dataset contains the data used to generate the results in the work "Quantum-critical properties of the one- and two-dimensional random transverse-field Ising model from large-scale quantum Monte Carlo simulations" [1].</p> <p>processed_data.zip contains the data used for the figures shown in [1], while raw_data.zip contains the original simulation results without further processing.</p> <p>To get an overview of the organization of the directories and a description of the data we recommend the README files in the top- and subdirectories.</p> <p>[1] C. Krämer et al., Quantum-critical properties of the one- and two-dimensional random transverse-field Ising model from large-scale quantum Monte Carlo simulations, <a href="https://doi.org/10.48550/arXiv.2403.05223">10.48550/arXiv.2403.05223</a>, 2024</p>
Ground-state dataset "Zero-temperature Monte Carlo simulations of two-dimensional quantum spin glasses guided by neural network states"
<h1>2D QUANTUM EDWARDS-ANDERSON GROUND-STATE DATASET:</h1> <p>The dataset contains coupling and energy data for 50 instances of a 2D quantum Edwards-Anderson model at Gamma (transverse field) = 1.8, featuring N=LxL=100 spins on a square lattice of side-length L=10 with periodic boundary conditions. The couplings are sampled from a Gaussian distribution with zero mean and unit variance.<br>The dataset consists of two text files containing coupling values and the corresponding ground-state energies.</p> <h2>Coupling Data (`coup_dataset.txt`)</h2> <p>The file `coup_dataset.txt` contains fifty sets of coupling data. Each set consists of three columns representing the indices `i`, `j`, and the coupling value `J_ij`, respectively.<br>The spin indices range from 1 to 100, ordered progressively by rows. Each set of coupling data is separated by two empty lines.</p> <h2>Energy Data (eng_dataset.txt)</h2> <p>The file `eng_dataset.txt` contains fifty rows of energy data corresponding to the coupling sets in `coup_dataset.txt`. Each row contains two columns representing the energy value and its associated statistical error-bar, rounded to the fifth decimal digit.</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.