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3,172
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Dataset results
3,172 results for “Publications”
Dataset used in the publication "Using of Transformers Models for Text Classification to Mobile Educational Applications"
<p>Dataset used in the publication "Using of Transformers Models for Text Classification to Mobile Educational Applications".</p> <p>More info about the dataset can be found in the published article.</p>
Data from figures - PUBLIC AND MEDIA INTEREST IN BED BUGS- EUROPE 2023
<p>Data from Goodle trends and media sources used to generate figures.</p>
Data release accompanying JGR publication "Electron-induced radiolysis of water ice and the buildup of oxygen" by Tinner et al.
Open the record for dataset details and reuse information.
Data for a publication: "A new promising material for biological applications: multi-level physical modification of AgNPs-decorated PEEK"
<p>The data set contains the data that were used within the article "A New Promising Material for Biological Applications: Multilevel Physical Modification of AgNP-Decorated PEEK" published in the journal Nanomaterials.</p> <p><strong>Versions:</strong></p> <p><strong>V1&2</strong>: The dataset contained AFM and UV VIS data.</p> <p><strong>V3</strong>: All the data used in the article are sorted in the file structure, which description is thoroughly described in the READ ME file. Additionally, the preprint DOI was added.</p> <p> </p> <p> </p>
Data for the publication: High performance of porous, hierarchically structured P2- Na0.6Al0.11 – xNi0.22 – yFex+yMn0.66O2 cathode materials
<p>Data sets: SEM-images, EIS, ex situ XRD, operando XRD, electrochemical cycling.</p> <p>Abstract: Sodium-ion-batteries (SIB) are a low-cost alternative to currently used lithium-ion batteries (LIB) but suffer from poor cycling stability. Spray drying provides porous, hierarchically structured particles of cathode active material (CAM) in large amounts, suitable for up-scaling. Changing the chemical composition of the Na0.6Al0.11–xNi0.22–yFex+yMn0.66O2 layered oxides under identical synthesis conditions leads to differences in particle morphology, conductivities, sodium vacancy ordering and phase transition, therefore influencing the electrochemical performance via several mechanisms. Here, a broad overview on these changes for samples with variable nickel and iron content is presented. With increasing iron content, the particle porosity is reduced and lower of initial capacity is received for most cycling windows. Substituting half of the original Ni amount with Fe still leads to high capacities and improved cycling stability. The influence of Al as electrochemical inactive element becomes visible in stabilised cycling stability as well.</p>
Data and code for publication: Advancing Maternal Transfer of Organic Pollutants across Reptiles for Conservation and Risk Assessment Purposes
<p>Dataset and r code to prepare the dataset, in support of the publication:</p> <p>"Advancing maternal transfer of organic pollutants across reptiles for conservation and risk assessment purposes"</p> <p>Munoz, C.C., Charles, S., Vermeiren, P. (2024) Environmental Science and Technology, https://doi.org/10.1021/acs.est.4c04668</p> <p>contact email: munozc.cynthia@gmail.com</p>
Public IST:Forecasting input files
<p>Input files for Galaxy Clustering and Weak Lensing to reproduce the forecasts of the Euclid IST:Forecasting.</p>
Data of publication "Simulating the dynamics of large many-body quantum systems with Schrödinger-Feynman techniques"
<p>The development of powerful numerical techniques has drastically improved our understanding of quantum matter out of equilibrium. Inspired by recent progress in the area of noisy intermediate-scale quantum devices, this paper highlights hybrid Schrödinger-Feynman techniques as an innovative approach to efficiently simulate certain aspects of many-body quantum dynamics on classical computers. To this end, we explore the nonequilibrium dynamics of two large subsystems, which interact sporadically in time, but otherwise evolve independently from each other. We consider subsystems with tunable disorder strength, relevant in the context of many-body localization, where one subsystem can act as a bath for the other. Importantly, studying the full interacting system, we observe that signatures of thermalization are enhanced compared to the reference case of having two independent subsystems. Notably, with the here proposed Schrödinger-Feynman method, we are able to simulate the pure-state survival probability in systems significantly larger than accessible by standard sparse-matrix techniques.</p> <div> </div> <div> </div>
Dataset for the publication: Potential of alcohol fuels in active and passive pre-chamber applications in a passenger car spark-ignition engine
<div> <p>The dataset covers the research data of the publication "Potential of alcohol fuels in active and passive pre-chamber applications in a passenger car spark-ignition engine" in International Journal of Engine Research (DOI: 10.1177/14680874211053168).</p> </div>
Data for the publication "Radiative effects of precipitation on the global energy budget and Arctic amplification"
<p>This dataset includes a set of 15yr simulations using the MIROC6 global aerosol-climate model with 1) diagnostic precipitation, 2) prognostic precipitation without radiative effect of precipitation, and 3) prognostic precipitation with radiative effect of precipitation.</p> <p>The data are used in the manuscript entitled "Radiative effects of precipitation on the global energy budget and Arctic amplification".</p>
The NGDEEP NIRIS calibration files for 'The Next Generation Deep Extragalactic Exploratory Public Near-Infrared Slitless Survey Epoch 1 (NGDEEP-NISS1): Extra-Galactic Star-formation and Active Galactic Nuclei at 0.5 < z < 3.6
<p>GRISMCONF configurations files used in Pirzkal et al. 2024. These contain the full field calibrated solution for the dispersion solution, trace as well as wavelength calibration. They provide a mean to extract NIRISS WFSS spectra obtained using the F115W, F150W, or F200W to within an acccuracy better than 0.25 pixel over most of the field of view. Wavelength calibration of both grism was verified to be accurate to within 15A over most of the field of view. Details can be found in Appendix A of Pirzkal et al. 2024.</p>
Dataset related to the publication: eLife-VOR-RA-2023-92344R1
<p><span>The data presented in this repository is the normalized gene expression (<a href="../api/records/10963444/draft/files/dataset1_TBM_mortality_gene_expression.txt/content" target="_blank" rel="noopener">dataset1_TBM_mortality_gene_expression.txt</a>) and the qPCR validation (<a href="../api/records/10963444/draft/files/dataset2_TBM_mortality_qPCR_Validation.txt/content" target="_blank" rel="noopener">dataset2_TBM_mortality_qPCR_Validation.txt</a>) data sets used in our work “<em><span>Whole blood transcriptional profiles and the pathogenesis of tuberculous meningitis”</span></em>, available at <a href="https://doi.org/10.7554/eLife.92344.1">https://doi.org/10.7554/eLife.92344.1</a>. The normalized gene expression data set (#1) were generated from RNA-seq which was done at Ramaciotti Centre for Genomics used </span><span>TruSeq Stranded Total RNA Ribo-zero Globin kit and NovaSeq 6000 sequencing system. </span><span> We used an in-house pipline described in our manuscripts to generate raw gene count expression which was then normalized by Deseq2 package and batch corrected by combat function in SVA package. The qPCR validation data set (#2) was generated by microfluidic RT-qPCR using Biomark™ 48.48 Complete Bundle with Delta Gene™ Assays and BioMark™ HD system.</span></p>
Dataset for publication "Altermagnetic lifting of Kramers spin degeneracy", Nature volume 626, pages 517–522 (2024), https://doi.org/10.1038/s41586-023-06907-7
<p>Dataset for publication https://doi.org/10.1038/s41586-023-06907-7, "Altermagnetic lifting of Kramers spin degeneracy", Nature volume 626, pages 517–522 (2024). Dataset include input and potential files for calculation on SPR-KKR package 8.6. </p> <p>Detailed descriptions are in the README text documents in subdirectories.</p>
Dataset for DFT and one-step model results used in publication "Persistence of Structural Distortion and Bulk Band Rashba Splitting in SnTe above Its Ferroelectric Critical Temperature" in Nano Letters, 2024, 24, 1, 82–88
<p>Dataset for DFT and one-step model results used in publication DOI 10.1021/acs.nanolett.3c03280, "Persistence of Structural Distortion and Bulk Band Rashba Splitting in SnTe above Its Ferroelectric Critical Temperature" in Nano Letters, 2024, 24, 1, 82–88.</p> <p>Description of dataset is in the ReadMe.txt file in subdirectories.</p>
Dataset for publication "Chemical-Dealloying-Derived PtPdPb-Based Multimetallic Nanoparticles: Dimethyl Ether Electrocatalysis and Fuel Cell Application" in ACS Applied Materials & Interfaces 2023, 15, 49, 56930–56944
<p>Dataset for publication "Chemical-Dealloying-Derived PtPdPb-Based Multimetallic Nanoparticles: Dimethyl Ether Electrocatalysis and Fuel Cell Application" in ACS Applied Materials & Interfaces 2023, 15, 49, 56930–56944, https://doi.org/10.1021/acsami.3c11003</p> <p>Dataset contains XRD, SAXS, Particle size distribution, HRTEM, Electrochemical characterisation, Fuel cell current-voltage curve, DFT calculations, Elemental maps and electrode stability measurements made on pristine and chemically dealloyed carbon supported Pt2PdPb2 nanoparticles.</p>
Data generated for the publication: Keeping it in the family: Using protein family templates to rescue poor AlphaFold models unliked
<p>Data and manuscript of:</p> <p>Keeping it in the family: Using protein family templates to rescue low confidence AlphaFold2 models</p> <p>Francesco Costa1, Matthias Blum1 and Alex Bateman1</p> <ol> <li>European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton. CB10 1SD. UK</li> </ol> <ul> <li>results contains the workflow results;</li> <li>AF2_seed contains results of the comparison with AF2 run with multiple seeds;</li> </ul>
Data used in publications
<p>data used in prepresentation of article Resolving acoustic azimuth using an accelerometer-based underwater acoustic vector sensor</p>
Data for publication: "Quantifying the relationship between observed variables that contain censored values using Bayesian error-in-variables regression"
<p>This archive contains the two datasets used in the publication: Vermeiren, Charles, Munoz: Quantifying the relationship between observed variables that contain censored values using Bayesian error-in-variables regression <br>Preprint: <a href="https://hal.science/hal-04764660" rel="nofollow">https://hal.science/hal-04764660</a><br><br>The first dataset is used to develop and test the model using cross-validation, the 2nd dataset is used as an independent, external dataset to test the model. For details, see the publication.</p> <p>The model code, combined with the data and outputs, are also available on GitHub: https://github.com/Peter-Vermeiren/EIVmodels </p>
Data and code for publication: "Floristic Patterns in the Andes of Northern Patagonia's Forests"
<p>This dataset supports the study "Floristic Patterns in the Andes of <br>Northern Patagonia's Forests" published in Vegetation Classification and Survey, which<br>investigates the relationship between plant communities and environmental drivers in <br>the Andes of northwest Patagonia, Argentina. It also employs both expert-based and <br>numerical classification methods to explore floristic patterns across steep gradients <br>of aridity and temperature. The project provides a detailed dataset of 141 vegetation <br>samples, using advanced statistical methods to define six distinct plant communities <br>and their environmental drivers. It aims to refine existing vegetation classifications <br>for the study area and inform conservation efforts.</p>
Measured and analyzed raw data for publication "Nanoscale spin ordering and spin screening effects in tunnel ferromagnetic Josephson junctions" (doi: https://doi.org/10.1038/s43246-024-00497-1)
<p>The data provided by this dataset are the raw data published in the paper "Nanoscale spin ordering and spin screening effects in tunnel ferromagnetic Josephson junctions" (doi: https://www.nature.com/articles/s43246-024-00497-1). </p> <p>It can be found:</p> <p>-In the folder figure2_IV, the current-voltage characteristics (IV) of standard Superconductor-Insulator-Superconductor Josephson Junctions (SIS JJ) and of Superconductor-Insulator-Ferromagnet-thin superconductor- Superconductor Josephson Junctions (SIsFS JJ) at 10 mK </p> <p>-In the folder figure2_IVH, the magnetic dependence of the critical current of the SIsS and SIsFS at 10 mK</p> <p>-In the folder figure3_IVHT, the magnetic dependence of the critical current of the SIsFS as a function of the temperature T</p> <p>-In the figure4_gamma, the experimental and theoretical dependence of \gamma, i.e., the magnetic moment of the S-layers normalized to the F-layer in absolute value, as a function of the characteristic energy of the inverse proximity effect</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.