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15,733 results for “article”
Raw and aggregated data for the study introduced in the article "An analysis of citing and referencing habits across all scholarly disciplines: approaches and trends in bibliographic metadata errors"
<p>This dataset contains all the raw data and aggregated data subject of the study introduced in the article "An analysis of citing and referencing habits across all scholarly disciplines: approaches and trends in bibliographic metadata errors". The study is based on the bibliographic and citation data contained in 729 articles published in 147 journals in 27 subject areas. The articles contained a total amount of 34,140 bibliographic references and 55,100 mentions and quotations overall.</p> <p>The dataset is composed of a series of files:</p> <ul> <li>the files "subject_area_<discipline-name>.csv" contain the raw data of the articles published in the journals of all the disciplines considered in the study;</li> <li>the file "article_data_summary.csv" contains the aggregated data created considering the raw data in the previous files, which have been used to creating all the tables and figures in the article;</li> <li>the file "starred_metadata_set.csv" contains information about the most used subset of bibliographic metadata;</li> <li>the file "journals_selection.csv" contains information about all the journals selected for the study.</li> </ul>
Dataset for article " Deformation of polycrystalline MgO up to 8.3 GPa and 1270 K: microstructures, dominant slip-systems, and transition to grain boundary sliding"
<p>This archive countains the dataset used to produce the paper "Deformation of polycrystalline MgO up to 8.3 GPa and 1270 K: microstructures, dominant slip-systems, and transition to grain boundary sliding" in press by Frontiers in Earth Science.</p> <p>(c) Estelle Ledoux, Université de Lille, France, 2020</p>
DOI's with SDG labels on Target level | 1.4M research articles (2009-2020) related to Sustainable Development Goals
<p>Table content: This data set contains 1.4 million publication DOI's related to the <a href="http://metadata.un.org/sdg/">Targets of the Sustainable Development Goals</a> in the period 2009 - 2020.</p> <p>Table dimensions: rows: 1.4 million, columns: 4 / rows: 1.4 million, columns: 180</p> <p>Table columns: <a href="https://en.wikipedia.org/wiki/Digital_object_identifier">doi</a> | date | <a href="http://metadata.un.org/sdg/ontology#Target">sdg_target</a> | <a href="http://metadata.un.org/sdg/ontology#Goal">sdg_goal</a> / <a href="https://en.wikipedia.org/wiki/Digital_object_identifier">doi</a> | date | <a href="http://metadata.un.org/sdg/ontology#Target">169 sdg_targets</a> | <a href="http://metadata.un.org/sdg/ontology#Goal">17 sdg_goalsl</a></p> <p>Table formats: <a href="https://en.wikipedia.org/wiki/Comma-separated_values">.csv</a> | <a href="https://en.wikipedia.org/wiki/Microsoft_Excel">.xlsx</a> | <a href="https://en.wikipedia.org/wiki/Apache_Parquet">.parquet</a></p> <p><em>How we made this data:</em></p> <p>We have made a search on <a href="https://scopus.com">Scopus </a>using the <a href="https://aurora-network-global.github.io/sdg-queries/">Aurora SDG queries version 5</a> for each of the targets, with a limited year range from 2009 till 2020.</p> <p>Good to know: don't be alarmed if you can find a doi that is labeled with more than one target (~16%). This is not a bug, this is a feature... We used 169 queries, one for each target, a publication can appear in more han one result set.</p> <p>Read this <a href="https://zenodo.org/record/4964606/files/Evaluation_on_accuracy_of_mapping_science_to_the_United_Nations__Sustainable_Development_Goals__SDGs__of_the_Aurora_SDG_queries.pdf?download=1">report to learn more about the accuracy</a> of the queries and the data result sets.</p> <p><em>How can you use this data:</em></p> <p>You can use this data to 1. quickly match your existing publication lists to this list to see how that your publications are related to the targets of the SDG's. 2. use these as a basis / seed set / gold set to train more advanced text / graph classifiers (after you have extracted title, abstract or even full-text using crossref.org, unpaywall.org, etc)</p> <p><em>How can you help:</em></p> <p><a href="https://sites.google.com/vu.nl/aurora-sdg-research-dashboard/sdg-knowledge-base#h.d2pd3c39k276">Let us know</a> how you use this data. We'll put your project on the list in our <a href="https://sites.google.com/vu.nl/aurora-sdg-research-dashboard/sdg-knowledge-base">SDG matching knowledge base.</a></p>
Dataset for FLEXCHX UC5 Article BCAB2021 Table6
<p>Dataset for FLEXCHX Article: Development of Simplified Gas Ultracleaning: Experiments in Biomass Residue-based Fixed-bed Gasification Syngas</p> <p>Biomass Conversion and Biorefinery <a href="https://doi.org/10.1007/s13399-021-01680-x">https://doi.org/10.1007/s13399-021-01680-x</a></p> <p>Table 6</p> <p> </p>
Dataset for FLEXCHX SXB Article BCAB2021 Table5
<p>Dataset for FLEXCHX Article: Pilot-scale development of pressurized fixed-bed gasification for synthesis gas production from biomass residues/Table 5</p> <p>https://doi.org/10.1007/s13399-021-01554-2</p> <p>Biomass Conversion and Biorefinery<br> </p>
Dataset for FLEXCHX Article BCAB2021 Table 1
<p>Dataset for FLEXCHX Article: Pilot-scale development of pressurized fixed-bed gasification for synthesis gas production from biomass residues / Table 1<br> https://doi.org/10.1007/s13399-021-01554-2</p> <p>Biomass Conversion and Biorefinery</p>
Dataset for FLEXCHX Article CET(86)2021_Fig3
<p>Dataset for FLEXCHX Article Production of synthesis gas from biomass residues by staged fixed-bed gasification - results from pilot test campaigns</p> <p>CET(86)2021_Figure 3<br> </p>
Dataset for FLEXCHX Article CET(86)2021_Fig5
<p>Dataset for FLEXCHX Article Production of synthesis gas from biomass residues by staged fixed-bed gasification - results from pilot test campaigns DOI: 10.3303/CET2186002</p> <p>CET(86)2021_Figure 5<br> </p>
Dataset for FLEXCHX Article BCAB2021 Table4
<p>Dataset for FLEXCHX Article: Pilot-scale development of pressurized fixed-bed gasification for synthesis gas production from biomass residues/Table 4</p> <p>https://doi.org/10.1007/s13399-021-01554-2</p> <p>Biomass Conversion and Biorefinery</p>
Dataset for FLEXCHX Article BCAB2021 Table3
<p>Dataset for FLEXCHX Article: Pilot-scale development of pressurized fixed-bed gasification for synthesis gas production from biomass residues/Table 3</p> <p>https://doi.org/10.1007/s13399-021-01554-2</p> <p>Biomass Conversion and Biorefinery<br> </p>
Dataset for FLEXCHX Article CET(86)2021_Table1
<p>Dataset for FLEXCHX Article Production of synthesis gas from biomass residues by staged fixed-bed gasification - results from pilot test campaigns CET(86)2021_Table1</p> <p>DOI: 10.3303/CET2186002</p>
Dataset related to article "Molecular Studies and ex vivo Complement assay on Endothelium Highlight the Genetic Complexity of Atypical Hemolytic Uremic Syndrome: The Case of a Pedigree With a Null CD46 Variant".
<p><em>The files contain raw data related to the article "Molecular Studies and ex vivo Complement assay on Endothelium Highlight the Genetic Complexity of Atypical Hemolytic Uremic Syndrome: The Case of a Pedigree With a Null CD46 Variant", available from <a href="https://www.frontiersin.org/articles/10.3389/fmed.2020.579418/full">https://www.frontiersin.org/articles/10.3389/fmed.2020.579418/ful</a>l.</em></p> <p>File <strong>"Genetic and clinical data"</strong>:</p> <ul> <li>In the sheet "485 aHUS patients" are reported data obtained from the screening of 485 unrelated patients with aHUS including rare variants (RVs) in complement disease-associated genes (<em>CFH, CD46, CFI, C3, CFB </em>and <em>THBD</em>), the presence of <em>CFH-CFHR</em> genomic rearrangements and/or anti-FH antibodies.</li> <li>In the sheet "Pedigrees with c.286+2T>G" are listed all pedigrees carrying the c.286+2T>G variant, the diseases status of all subjects and the age of disease onset of patients. In bold are indicated pedigrees (n=7) used to study the penetrance of aHUS in c.286+2T>G carriers.</li> <li>In the sheet "Haplotypes" are reported genotypes used to evaluate the association between the presence of <em>CFH-H3</em> and <em>CD46<sub>GGAAC</sub></em> risk haplotypes and aHUS. Results of this analysis are reported in Table 3 of the published paper.</li> <li>In the sheet "Raw data Fig.2" are reported data of "platelet count" and "serum creatinine" of the proband used to elaborate Figure 2.</li> </ul> <p>In the file <strong>"C3 and C5b-9 deposition"</strong> is reported the quantification of serum-induced C3 and C5b-9 deposition on human microvascular endothelial cell line (HMEC-1). The fluorescent staining was evaluated with Image J and expressed as pixel<sup>2 </sup>per field analyzed. The fields with the lowest and highest values were excluded from calculation. These values were used to elaborate data included in Table 2 and in Figure 5.</p> <p>In the file <strong>"CD46 protein expression"</strong> are reported data of CD46 expression on peripheral blood mononuclear cells (PBMCs) isolated from the proband, his relatives and healthy volunteers. Data of specific expression of CD46 (evaluated for SCR1 or for SCR4 as reported in the materials and methods section) are indicated as median fluorescence intensity (MFI) percentage compared with the control.</p> <p>In the ppt file <strong>"cDNA amplification and sequencing results"</strong> is reported:</p> <ul> <li>the agarose gel image of the amplified cDNA from the control (ctr), the proband (IV-8) and his healthy father (III-7).</li> <li>Electropherograms obtained from the cDNA sequencing of the control (ctr), the proband (IV-8) and his healthy father (III-7).</li> </ul> <p>Additional data will be made available by the authors, without undue reservation, to any qualified researcher. </p>
Case study result data set for Energy Economics (submitted) article "On Wholesale Electricity Prices and Market Values in a Carbon-Neutral Energy System"
<p>The data set contains wholesale power price time series data for Germany and France focussing on price setting effects in a long term low carbon European energy system context (scenario year 2050) generated with the model SCOPE SD of Fraunhofer Institute for Energy Economics and Energy System Technology IEE. The single time series are focussing on the price setting effects of different flexible technologies including both traditional and new market participants due to cross-sectoral integration.</p> <p>Unit: Euro/Megawatthour</p> <p><strong>Abbreviations:</strong></p> <ul> <li>BEV - Battery Electric Vehicles</li> <li>GER - Germany</li> <li>FRA - France</li> <li>OCGT - Open Cycle Gas Turbine</li> <li>PHEV - Plug-In Hybrid Vehicles</li> <li>RES - Renewable energy sources (here: wind and solar power)</li> <li>th. - thermal</li> </ul>
ARTE (Article Reproducibility Template & Environment) workflow folder structure
<p>Illustration of a suggested folder and file system for editing articles that are <strong>dynamic and reproducible</strong>.</p> <p>The <a title="TIER Protocol 4.0 Site" href="https://www.projecttier.org/tier-protocol/protocol-4-0/" target="_blank" rel="noopener"><strong>TIER Protocol 4.0</strong></a> served as the foundation for this proposal, which was intended to be modified in <strong>Quarto using Rstudio</strong>, for instance, then published on <a title="Article Template Exemple" href="https://phdpablo.github.io/article-template/" target="_blank" rel="noopener"><strong>GitHub Pages</strong></a>.</p> <p>An example of its deployment is provided here: <a title="Article Template Example" href="https://phdpablo.github.io/article-template/" target="_blank" rel="noopener">https://phdpablo.github.io/article-template/</a></p> <p>According to <a title="Original Article" href="https://periodicos.ufpe.br/revistas/index.php/politicahoje/article/view/245776" target="_blank" rel="noopener">Domingos and Batista's (2021)</a> suggested content (files) recommendations, the figure illustrates the design of the proposal while accounting for the three primary <strong>TIER Protocol 4.0</strong> folders (Data, Scripts, and Output). The proposal for the <strong>TIER Protocol 4.0</strong> was modified to take into account that the research narrative would be edited in a <a title="Site Quarto" href="https://quarto.org/docs/guide/" target="_blank" rel="noopener"><strong>dynamic Quarto-type document</strong></a> (*.qmd), published on <a title="Article Template Example" href="https://phdpablo.github.io/article-template/" target="_blank" rel="noopener">GitHub Pages</a> (docs/) following Rstudio rendering, and potentially even produce a .pdf file of the article; <strong>*.qmd </strong> denotes a collection of <strong>Quarto files </strong>containing the standard sections of a scientific article (Introduction, Theoretical Framework, Methods, etc.); the other folders indicated in the root (adm, docker, renv) are for project management and for controlling dependencies and the environment, if adopted by the researcher.</p> <p>Visit the project repository at <a title="GitHub Repository" href="https://github.com/phdpablo/article-template/" target="_blank" rel="noopener">https://github.com/phdpablo/article-template/</a> for additional details. Visit <a title="OSF" href="https://osf.io/njdq5/" target="_blank" rel="noopener">https://osf.io/njdq5/</a> to view the template on OSF.</p>
Data accompanying the article "Arctic sea ice mass balance in a new coupled ice-ocean model using a brittle rheology framework"
<p><em>Amonthly_files.tar.gz</em> contains the gridded monthly averaged quantities used in the manuscript Arctic sea ice mass balance in a new coupled ice-ocean model using a brittle rheology framework" for each year between 2000 and 2018.</p> <p>Files containing "simba" in their name contain quantities related to the sea ice mass balance (volume of melt/growth...)</p> <p>Files containing "icemod" in their name contain other quantities related to sea ice properties (thickness, concentration...)</p> <p>In case information is missing, do not hesitate to contact guillaume.boutin@nersc.no , heather.regan@nersc.no or einar.olason@nersc.no</p> <p>This research has been funded by the Norwegian Research Council (Nansen Legacy: grant no. 27673, FRASIL: grant no. 263044, and ARIA: grant no. 302934), JPI Climate and JPI Oceans (MEDLEY project, under agreement with the Norwegian Research Council, grant no 316730), and by Copernicus Marine Environment Monitoring Service (CMEMS) WIzARd project. CMEMS is implemented by Mercator Ocean in the framework of a delegation agreement with the European Union<br> Copernicus Marine Environment Monitoring Services (contract no.<br> 69), and the European Space Agency through the Cryosphere Virtual Laboratory (CVL, grant no. 4000128808/19/I-NS).</p>
Data from the article "Plastome sequencing of South American Podocarpus species reveals low rearrangement rates despite ancient Gondwanan disjunctions"
<p>Input data, intermediate and final analysis output files associated to the manuscript "Plastome sequencing of South American <em>Podocarpus </em>species reveals low rearrangement rates despite ancient Gondwanan disjunctions"</p> <p>We sequenced the plastomes of four South American species of <em>Podocarpus</em> from Patagonia, southern Yungas, and Brazilian subtropical forests: <em>P. nubigenus, P. parlatorei, P. salignus </em>and <em>P. selowii</em>. We compared their plastomes to those published from Brazil, Africa, New Zealand, and Southeast Asia, along with representatives from other genera within Podocarpaceae as outgroups. The four newly sequenced plastomes ranged in size between 133,791 bp and 133,991 bp. Gene content and order among chloroplasts from South American, African and Asian <em>Podocarpus</em> were conserved and different from the plastome of <em>P. totara</em>, from New Zealand. Most genes showed substitution patterns consistent with a conservative selective regime. Phylogenies inferred from either complete sequences or protein coding regions were mostly congruent with previous studies, but showed earlier branching of <em>P. salignus</em>, <em>P. totara</em> and <em>P. sellowii</em>.</p>
Dataset for the article EDM-GNSS distance comparison at the EURO5000 calibration baseline: preliminary results
<p>GNSS RINEX observation files for the observation campaign used in the article "EDM-GNSS distance comparison at the EURO5000 calibration baseline: preliminary results" by Kinga Wezka, Luis García-Asenjo, Dominik Próchniewicz, Sergio Baselga, Ryszard Szpunar, Pascual Garrigues, Janusz Walo and Raquel Luján, Journal of Applied Geodesy https://doi.org/10.1515/jag-2022-0049. The work leading to this paper was performed within the 18SIB01 GeoMetre project of the European Metrology Programme for Innovation and Research (EMPIR). This project has received funding from the EMPIR programme co-financed by the Participating States and from the European Union’s Horizon 2020 research and innovation programme, funder ID: 10.13039/100014132. Raquel Luján acknowledges the funding from the Programa de Ayudas de Investigación y Desarrollo (PAID-01-20) de la Universitat Politècnica de València.</p>
Dataset supplementing the journal article describing the pyfastspm Python package
<p>This dataset represents a fast scanning tunneling microscopy image sequence, acquired with the FAST SPM module, showing a reduced Fe3O4(001) surface observed at 657 K during oxygen exposure. This is used as example dataset in the journal article describing the pyfastspm Python package (SoftwareX 21 (2023) 101269, Figure 3 and 4, Supporting Information).</p>
Additional results for article "A new approach for the generation of real-time GNSS low-latitude ionospheric scintillation maps"
<p>Complete set of interpolation error and correlation metrics for the approaches GDA, IDW, RBF and GPR for all the 12 pre-processing options using the SSS cross-validation scheme for the 10-hour dataset (40 maps with 16-minute interval for each approach and each pre-processing options) - file “Complete table of interpolation errors and correlation.csv”.</p> <p>Complete set of scintillation maps for the approaches GDA, IDW, RBF and GPR for all the 12 pre-processing options covering the 10-hour dataset (40 maps with 16-minute interval for each approach and each pre-processing options) - file “Scintillation maps for the 10-hour dataset.zip”.</p> <p>Comparison plots of the scintillation maps generated by the approaches GDA, IDW, RBF and GPR with the pre-processing options SAR, SMR and VQI for each of the 40 intervals of time of 16 minutes covering the 10-hour dataset - file “Set of maps for all 4 approaches with the SAR, SMR and VQI sets of options.zip”.</p> <p>Sequence of scintillation maps for the 8-hour dataset generated by the GPR(VQI) approach for the three time resolutions (1, 2, and 16-minute) - file “Scintillation maps for the 8-hour comparison dataset.zip”.</p> <p>Animations corresponding to the sequence of maps generated by the GPR(VQI) approach for the 8-hour dataset, and for the three time resolutions (1, 2, and 16-minute) - file “Animations of GPR(VQI) maps for the 8-hour comparison dataset.zip”.</p>
Dataset and codebook for the article by Gaume J, Bertholet N, McCambridge J, et al. Effect of a Novel Brief Motivational Intervention for Alcohol-Intoxicated Young Adults in the Emergency Department: A Randomized Clinical Trial. JAMA Netw Open. 2022;5(10):e2237563. doi: 10.1001/jamanetworkopen.2022.37563
<p>Dataset and codebook for the article Gaume J, Bertholet N, McCambridge J, et al. <strong>Effect of a Novel Brief Motivational Intervention for Alcohol-Intoxicated Young Adults in the Emergency Department: A Randomized Clinical Trial</strong>. JAMA Netw Open. 2022;5(10):e2237563. doi: <a href="http://jamanetwork.com/article.aspx?doi=10.1001/jamanetworkopen.2022.37563">10.1001/jamanetworkopen.2022.37563</a></p> <p>The dataset contains all data needed to reproduce the results in the above cited article.</p> <p>Variable description and labels can be found in the codebook.</p> <p>Please refer to the published article and supplemental online content for further information about the data and the study procedures.</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.