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.
514
datasets available to search
ShareScore release 0.9.0
Dataset results
514 results for “principles”
Fig 1 in Principles for creating a single authoritative list of the world's species
Fig 1. Process by which taxonomic information is currently assembled into global lists. At just about every stage, the taxonomic decisions of individual taxonomists can influence lists directly, as well as through the various levels of aggregation. https://doi.org/10.1371/journal.pbio.3000736.g001
The dataset of covalent bond lengths resulting from the first-principle calculations
<p>Optimized geometries (<strong>geoms_b973c_optimized.tar.gz</strong>, <strong>geoms_pbeh3c_optimized.tar.gz</strong> ),</p> <p>sample MP2 single point input files (<strong>mp2singlePointOnB3lypInputs.tar.gz</strong>) based on initial geometries (B3LYP-optimized as in PubChemQC),</p> <p>JANPA output files (<strong>janpa_b973cGeoms.tar.gz</strong>, <strong>janpa_b3lypGeoms.tar.gz</strong>, <strong>janpa_pbeh3cGeoms.tar.gz</strong> ),</p> <p>and files for the covalent bond lengths dataset:</p> <p><strong>selected_mols.txt</strong> - identifiers of molecules with method-independent connectivity, unique InChI and selected as being non-aromatic;</p> <p>numbers of lone pairs (LP) CLPOs for atoms ( <strong>LPs_b3lyp</strong>, <strong>LPs_B97-3c</strong>, <strong>LPs_PBEh-3c</strong> );</p> <p>numbers of bonding (BD) CLPOs for atoms (<strong> BDs_b3lyp</strong>, <strong>BDs_B97-3c</strong>, <strong>BDs_PBEh-3c </strong>);</p> <p><strong>locBonds_b3lyp.txt</strong> , <strong>locBonds_b97-3c.txt</strong> , <strong>locBonds_pbeh-3c.txt</strong> - the datasets of the bonds not affected by electron delocalization. Each line in each file has the following format:</p> <p><em>Element Element BondMultiplicity MoleculeId AtomId1 AtomId2</em></p> <p> </p>
Dataset [Amazon or Amazônia: FAIR principles applied on using terms and concepts in the Scopus]
<p>This is the raw data behind the publication:</p> <p>Ramos, M. G.; de Souza, R. F. Amazon or Amazônia: FAIR principles applied on using terms and concepts in the base Scopus. XX ENANCIB 2019.</p> <p>The present paper reports an empirical research that sought to analyze possible semantic deviations, ambiguities and false positives in the retrieval of documents in the <strong>Scopus database</strong> through search expressions of the terms <strong>Amazon and Amazon, from 2008 to 2018.</strong> From the sample selection <strong>composed of 40 most cited articles of both terms</strong>, a comparative analysis was performed between the author's keywords versus the keywords indicated by the database and the subject areas retrieved by the chosen terms were evaluated. In addition, Iramuteq software was used for data analysis and visualization. The study aims to contribute to a better understanding of the triad: concepts, keywords and terms regarding database information retrieval and to verify the application of the findable, accessible, interoperable and reusable principles, in the knowledge domain analysis as part of the universe of the Knowledge Organization System. In addition, there was a difficult reciprocity between authors' keywords and database keywords that may imply some semantic deviation and ambiguities in document retrieval.may imply some semantic deviation and ambiguities in document retrieval.</p> <p>Link: <a href="https://brapci.inf.br/index.php/res/v/123309">https://brapci.inf.br/index.php/res/v/123309</a></p>
Linked collectors and determiners for: Taxonomy and distribution of ecosystem types: implementation of ecosystemology principles.
Natural history specimen data linked to collectors and determiners held within, "Taxonomy and distribution of ecosystem types: implementation of ecosystemology principles". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/f513fe98-b1c3-45ee-8e14-7f2a5b7890bf">https://bionomia.net/dataset/f513fe98-b1c3-45ee-8e14-7f2a5b7890bf</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/f513fe98-b1c3-45ee-8e14-7f2a5b7890bf">https://gbif.org/dataset/f513fe98-b1c3-45ee-8e14-7f2a5b7890bf</a>. Formatted as a Frictionless Data package.
Gaussian16 data for "Dynamic electronic structure fluctuations in the de novo peptide ACC-dimer revealed by first-principles theory and machine learning"
<p>This is the Gaussian 16 input and corresponding output, which was used as input into the machine learning presented in the paper titled "Dynamic electronic structure fluctuations in the de novo peptide ACC-dimer revealed by first-principles theory and machine learning". This upload is required before submission of the paper.<br><br>The 1001 and 100 snapshots from different extractions are preserved in separated directories. Each snapshot directory <code>*_snapshot</code> has the initial GROMACS snapshot <code>test_*.pdb</code> , the geometry after truncating the solvation shell in various formats, the Gaussian16 input, qsub input and the output directory <code>*.1</code> with a JobID number assigned by qsub. The output directory has the standard output from Gaussian in a <code>.log</code> file and <code>grep</code>ed output from the <code>.fchk</code> file in <code>*.out</code> .</p>
Data for From principles to practices: Open Science at European Universities. 2020-2021 EUA Open Science Survey Results
<p>This database refers to the data collected by the European University Association (EUA) for its 2020-2021 EUA Open Science Survey, which gathered responses from universities and higher education institutions across Europe. The full report published by the association is available at <a href="https://www.eua.eu/resources/publications/976:from-principles-to-practices-open-science-at-europe%E2%80%99s-universities-2020-2021-eua-open-science-survey-results.html">https://www.eua.eu/resources/publications/976:from-principles-to-practices-open-science-at-europe%E2%80%99s-universities-2020-2021-eua-open-science-survey-results.html</a> (<a href="http://doi.org/10.5281/zenodo.5062982">http://doi.org/10.5281/zenodo.5062982</a>).</p> <p>All information that could lead to the identification of individual universities and higher education institutions was removed from the database. The following files are available:</p> <ul> <li>2020-2021 EUA Open Science Survey</li> <li>Database in the following formats: .xlsx (Microsoft Excel) and .sav (IBM SPSS)</li> <li>Survey Codebook: includes information on all the variables and their coding (.xlsx)</li> <li>Data Management Plan.</li> </ul>
Amorphous Niobium Oxide Structures Calculated from First Principles using Density Functional Theory and Molecular Dynamics
<p>The dataset contains fifteen different amorphous niobium oxide structures. Nine of the structures have the same stoichiometry as Nb2O5. The other six are defect structures containing 1 or 2 oxygen vacancies, or 1 or 2 interstitial oxygens, or 1 Nb vacancy. Each of the structure files is in the VASP POSCAR file format. Each structure was created using ab-initio molecular dynamics at 5000~K to liquidate the structure, then snapshots of the structure were taken every 2 ps, and geometry optimizations were performed on each individual snapshot. The naming convention is relatively simple: 'conf_x_POSCAR' is a stoichiometric POSCAR, and 'conf_x_oadd1_POSCAR' is a defect structure originating from structure 'x' with a single oxygen interstitial. The defect labels correspond to 1 oxygen interstitial (oadd1), 2 oxygen interstitials (oadd2), 1 oxygen vacancy (ovac1), 2 separated oxygen vacancies (ovac2), 2 nearest neighbor oxygen vacancies (ovac2nn), and 1 Nb vacancy (nbvac).</p>
Datasets for the manuscript "In silico proof of principle of machine learning-based antibody design at unconstrained scale"
<p>The zip file contains dataset files for the manuscript "In silico proof of principle of machine learning-based antibody design at unconstrained scale"</p>
Sabatier principle of metal–support interaction for design of ultrastable metal nanocatalysts
<p>Data for the figures of the publication "Sabatier principle of metal–support interaction for design of ultrastable metal nanocatalysts".</p>
Fig 2 in Four principles to establish a universal virus taxonomy
Fig 2. Structure-based dendrogram of capsid proteins of members of the kingdom Bamfordvirae. Structure-based phylogenetic tree inferred from major capsid protein (MCP) structures of the members of the kingdom Bamfordvirae in the Varidnaviria realm. Members of Bamfordvirae encode a vertical double-jelly roll fold MCP, which is the hallmark protein of this group of viruses. Next to each MCP structure are the virus name (top), the phylum (middle), and family (bottom), with "Faustovirus" not yet officially classified and Finnlakeviridae not yet assigned to any higher taxon. The evolutionary distances across the depicted members of the originally called PRD1-adenovirus viral lineage [67] were calculated with the Homologous Structure Finder software [50] and depicted with PHYLIP (https://evolution.genetics.washington.edu/phylip.html); the evolutionary distances are shown next to each branch. The protein data bank identifiers (PDBid) for the structures are as follows: PRD1: PDBid 1HX6; PBCV-1: 1M3Y; adenovirus: 1P2Z; STIV: 2BBD; Vaccinia D13: 2YGB; Sputnik: 3J26; Faustovirus: 5J7O; FLiP: 5OAC; ASFV p72: 6KU9; PM2: 2W0C. Adapted from [62]. https://doi.org/10.1371/journal.pbio.3001922.g002
Fig 1 in Four principles to establish a universal virus taxonomy
Fig 1. Ranks used in virus taxonomy. Schematic depiction of the 15-rank taxonomic framework used by the ICTV. It includes the methodologies that may be used to determine virus evolutionary relationships and make assignments at each rank. The pyramid shape indicates that the number of taxa increases from the top rank (realm) to the most basal rank (species, Sp.). The names of the 15 ranks are shown on the left of the pyramid, and the methodologies are on the right (AAS, amino acid sequence similarity; NS, nucleotide sequence similarity). The pyramid includes a hypothetical example of the taxonomy of a realm, indicating the number of taxa at each rank (filled circles). The phenotypic properties of classified viruses that may inform rank placements are depicted below the pyramid. https://doi.org/10.1371/journal.pbio.3001922.g001
First-principles design of ferromagnetic monolayer MnO2 at the complex interface
<p>The crystal structure (POSCAR format) of the heterostructre studied in the manuscript entitled "First-principles design of ferromagnetic monolayer MnO$_2$ at the complex interface" that is currently under review at Physica Scripta. These structures have been relaxed with VASP code. </p>
A Test of the Cosmological Principle with Quasars
<p>Dataset, mask and code associated with</p> <p>https://inspirehep.net/literature/1820376</p> <p>(https://arxiv.org/abs/2009.14826)</p> <p>Code and README for selecting the sample from CatWISE can be found in Generatecode.tar.gz</p> <p>Code and README for masking the sample, evaluating the dipole, as well as the Monte Carlos for statistical significances can be found in Resultscode.tar.gz</p> <p>(This github repository: https://github.com/rameez3333/CatWISEdipole )</p> <p>Note that the final result is for the sample with W1 less than 16.4 cut applied, whereas this file includes objects with W1 less than 16.5.</p> <p>Additional code required to produce the catalog from scratch is available in "<a href="https://zenodo.org/api/files/6cb5d4a5-505a-4703-9351-958666e847f2/secrest%2B21_extra.tar.gz">secrest+21_extra.tar.gz</a>"</p> <p> </p> <p> </p>
Data related to the publication "Efficient molecular dynamics simulations of deep eutectic solvents with first-principles accuracy using machine learning interatomic potentials"
<p>The training data sets, the trained machine learning models, and input scripts for the training and molecular dynamics simulations.</p>
Data for: A size principle for recruitment of Drosophila leg motor neurons
Open the record for dataset details and reuse information.
Modeling single-cell heterogeneity in signaling dynamics of macrophages reveals principles of information transmission
Open the record for dataset details and reuse information.
A "morphogenetic action" principle for 3D shape formation by the growth of thin sheets
Open the record for dataset details and reuse information.
Data from: Microprism-based two-photon imaging of the mouse inferior colliculus reveals novel organizational principles of the auditory midbrain
Open the record for dataset details and reuse information.
Development of a high-throughput small molecule screening assay for phenotypical characterization of lysosomal storage disorder-affected cells, with infantile cystinosis as a proof of principle
<p>Together with the Pivot Park Screening Centre we performed a drug screen on CTNS-/- proximal tubule cells. For this we developed an assay to evaluate LC3-II positive puncta, and which may be applied for any disease in which autophagy plays an important role. The screen was optimized by the hotel for a 384 well format, making it useful for high throughput screening. The screen was performed with 1280 compounds from the Prestwick library.</p>
Theories and Principles of Bilingual Education
<p>This annotated bibliography discusses chapters from three books (<em>Foundations of Bilingual Education and Bilingualism, Immersion Education: International Perspectives, </em>and <em>Literacy and Bilingualism: A Handbook for All Teachers)</em> and an article entitled <em>Biliteracy, Empowerment, and Transformative Pedagogy.</em> The academic works discussed are mainly about theories and principles of bilingualism, bilingual education, and immersion education which relate to second/foreign language teaching in different contexts.</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.