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.
13
datasets available to search
ShareScore release 0.9.0
Dataset results
13 results for “relativistic electrons”
Dataset: Electronic Spectra of Ytterbium Fluoride from Relativistic Electronic Structure Calculations
<p>This is the dataset for the manuscript entitled: "Electronic Spectra of Ytterbium Fluoride from Relativistic Electronic Structure Calculations" by J. V. Pototschnig, K. G. Dyall, L. Visscher and A. S. P. Gomes. It contains output files of various calculations and scripts to process them.</p>
Dyall dz, tz, and qz basis sets for relativistic electronic structure calculations
<p>This archive contains the Dyall basis sets for relativistic atomic and molecular electronic structure calculations. They are given in the format required by the DIRAC program (see <a href="http://diracprogram.org">diracprogram.org</a>), which is essentially a list of the exponents for each angular momentum for each element. The basis sets are of double-, triple-, and quadruple-zeta quality. For each quality, there are three basis set types: valence (v<em>N</em>z), core-valence (cv<em>N</em>z) and all-electron (ae<em>N</em>z). These basis sets include correlating functions for the relevant shells (valence, valence+outer core, all shells). In addition, for each of these basis sets there is another set that contains diffuse functions for the s, p, and d elements, optimized for the anion or extrapolated from neigboring elements where the anion is unbound or weakly bound. These sets are labeled av<em>N</em>z, acv<em>N</em>z, and aae<em>N</em>z. References for the basis sets are included in the basis set files.</p> <p>The archive files containing descriptions and recommendations for each basis set, as well as SCF coefficients and lists of exponents, are available <a href="https://doi.org/10.5281/zenodo.7606546">here</a>.</p>
Chemical Effects Induced by Relativistic Precipitating Electrons
<p>Figures, data, and code used in my paper describing "Chemical Effects Induced by Relativistic Precipitating Electrons"</p>
Predictive simulations of core electron binding energies of halogenated species adsorbed on ice surfaces from relativistic quantum embedding calculations
<p>This dataset collects the unprocessed (= outputs from calculations) and processed (= plots, average values for orbital and ionization energies) results discussed in the paper titled "Predictive simulations of core electron binding energies of halogenated species adsorbed on ice surfaces from relativistic quantum embedding calculations" by Richard Asamoah Opoku, Céline Toubin, and André Severo Pereira Gomes.</p>
Dataset: Assessing MP2 frozen natural orbitals in relativistic correlated electronic structure calculations
<p>This dataset collects the unprocessed (= outputs from calculations) results discussed in the paper titled "Assessing MP2 frozen natural orbitals in relativistic correlated electronic structure calculations", by Xiang Yuan, Luvas Visscher and Andre Severo Pereira Gomes. It also contains the figures used in the manuscript.</p>
HDF5 datasets and python scripts to generate figures in "Butterfly distribution of relativistic electrons driven by parallel propagating lower band whistler chorus waves"
<p>HDF5 datasets and python scripts to generate figures in "Butterfly distribution of relativistic electrons driven by parallel propagating lower band whistler chorus waves"</p> <p>RBW simulation datasets in HDF5 format:</p> <ul> <li>300pT.h5 The particle dataset to generate the figures.</li> </ul> <p>Python scripts to generate figures in the manuscript.</p> <p>- Environment: Python 3.6.7 :: Anaconda 4.4.0 (64-bit)</p> <p>- Required modules: matplotlib, numpy, h5py</p> <ul> <li>Figure1.py Generate figure 1.</li> <li>Figure2.py Generate figure 2.</li> <li>Figure3.py Generate figure 3.</li> <li>Figure4.py Generate figure 4.</li> <li>QLDe.py Calculate bounce averaged diffusion coefficients according to Shprits et al. (2006) (doi: https://doi.org/10.1029/ 2006JA011725).</li> </ul> <p> </p>
Data set used in the Article "Evaluation of Monte Carlo tools for high-energy atmospheric physics II: relativistic runaway electron avalanches"
<p>Data used for the Relativistic Runaway Electron Avalanches (RREA) simulations of the Article : "Evaluation of Monte Carlo tools for high energy atmospheric physics II: relativistic runaway electron avalanches" by D. Sarria et al.</p> <p>Includes two set of results : The Probability of Generating RREAs, and the Characterizations of RREAs.</p> <p>Link to the article : <a href="https://www.geosci-model-dev.net/11/4515/2018/gmd-11-4515-2018.html">https://www.geosci-model-dev.net/11/4515/2018/gmd-11-4515-2018.html</a></p> <p>DOI of the article: 10.5194/gmd-2018-119</p>
Relativistic Electron Precipitation Events (driven by waves or field line scattering) from POES 2-second data
<p>This repository contains the list of relativistic electron precipitation from POES data since 2012.</p> <p>Please refer to the read_me file for further details.</p> <p> </p> <p><strong>You are free to use this for your research. However, before doing so, please contact Luisa Capannolo at luisacap@bu.edu.</strong></p> <p> </p> <p>This dataset is associated with the paper under review titled "Properties of Relativistic Electron Precipitation: A Comparative Analysis of Wave-Induced and Field Line Curvature Scattering Processes" by Capannolo, Staff, Li, Duderstadt, Sivadas, Petitt, Elliot, Qin, Shen, and Ma.</p>
Replication Data for: Exact two-component Hamiltonians for relativistic quantum chemistry: Two-electron picture-change corrections made simple
<p>Based on self-consistent field (SCF) atomic mean-field (amf) quantities, we present two simple, yet computationally efficient as well as numerically accurate algebraic approaches to remedy both scalar-relativistic <em>and</em> spin-orbit two-electron picture-change effects (PCE) arising within an exact two-component (X2C) Hamiltonian framework. Both approaches, dubbed as amfX2C and e(xtended)amfX2C, allow us to uniquely tailor PCE corrections to either mean-field models, <em>viz</em>. Hartree–Fock or Kohn–Sham DFT, in the latter case also avoiding the need of a point-wise calculation of exchange–correlation PCE corrections. We assess the numerical performance of these PCE correction models on spinor energies of group-18 (closed-shell) and group-16 (open-shell) diatomic molecules, achieving a consistent ≈ 10−5-Hartree accuracy with regard to reference four-component data. Additional tests include SCF calculations of molecular properties such as absolute contact density and contact density shifts in copernicium fluoride compounds (CnFn, n=2,4,6), as well as equation-of-motion coupled cluster calculations of X-ray core ionization energies of 5<em>d</em> and 6<em>d</em>-containing molecules where we observe an excellent agreement with reference data. To conclude, we are confident that our (e)amfX2C PCE correction models constitute a fundamental milestone towards a universal and reliable relativistic two-component quantum chemical approach, maintaining the accuracy of the parent four-component one at a fraction of its computational cost.</p>
Direct evidence of the pitch angle scattering of relativistic electrons induced by EMIC waves
<p>High rate MagEIS data for the submitted paper "Direct evidence of the pitch angle scattering of relativistic electrons induced by EMIC waves"</p>
Relativistic electron model in the outer radiation belt using a neural network approach
<p>This dataset includes the models, dataset, and extra figures for the paper titled</p> <p>Relativistic electron model in the outer radiation belt using a neural network approach</p> <p> </p>
The circulation of relativistic electrons injected by radio galaxies in galaxy groups
<p>Remote talk describing the latest simulations on the injection, propagation and energy evolution of relativistic electrons released into the intracluster/group medium by the activity of radio galaxies.</p> <p>Based on these publications:</p> <p>https://ui.adsabs.harvard.edu/abs/2023A%26A...669A..50V/abstract</p> <p>https://ui.adsabs.harvard.edu/abs/2021A%26A...653A..23V/abstract</p>
Data for The principal role of chorus ducting for night-side relativistic electron precipitation
<p>Data for Figure 2~4 in paper "The principal role of chorus ducting for night-side relativistic electron precipitation".</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.