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6,059 results for “Journale”
Data availability to ensure the reproducibility of the results of Rivaes et al. (2017) in the journal HESSD.
<p>These data is provided to ensure the reproducibility of the results presented in the publication authored by Rivaes et al. (2017) in the Journal of Hydrology and Earth System Sciences Discussion.</p>
Dataset supplementing Lichtenberg et al. (2017) Foraging traits modulate stingless bee community disassembly under forest loss. Journal of Animal Ecology
<p>This dataset contains data and scripts that supplement the publication</p> <p>Lichtenberg et al. (2017) Foraging traits modulate stingless bee community disassembly under forest loss. Journal of Animal Ecology. DOI 10.1111/1365-2656.12747.</p> <p> </p> <p>Please cite the above article if you use any of the included data or code.</p> <p> </p> <p>Files are described in README.md.</p>
Revistas Diamante. Revisión Abril 2025. Diamond Journals. Update April 2025.
<p>The dataset includes the diamond journals identified in the review carried out by the libraries of the Universitat de València in April 2025. It also provides quality indicators of the journals, such as their classification in SJR, Dialnet or if they have editorial quality seals. The full version of this work is available on the website of the <a href="https://www.uv.es/uvweb/servei-biblioteques-documentacio/ca/investigacio/publicacio/on-publicar-analisi-revistes-1286386862482.html">Servei de Biblioteques i Documentació</a> de la Universitat de València, accessible to the university community.</p>
Diversity in Software Engineering Conferences and Journals
<p>This repository includes the data used in the research in the article "Diversity in Software Engineering Conferences and Journals" submitted to the Journal of Systems and Software in October 2023. This repository contains .csv and .json files that include the data of all research papers published in the conferences ICSE, ASE, and FSE, along with the journals IEEE TSE and ACM TOSEM from the years 2010-2022 along with the list of names of Programming and Organizing Committee members and Editorial Board members. This data was sourced from DBLP and the conference websites/journal front matter pages. The names of the authors and committee members have been processed using NamSor to obtain the corresponding ethnicity (using the "Name US Race" feature) and gender (using the "Genderize name from first name and last name" feature). The affiliated institution and corresponding country for each first author were determined using the Scopus database.</p>
Dataset: Very-small-aperture 3-D infrasonic array for volcanic jet observation at Stromboli Volcano, Geophysical Journal International, Volume 229, Issue 1, Pages 459–471, https://doi.org/10.1093/gji/ggab487
<p>This is the dataset of the infrasound observation of Yamakawa et al. (GJI, 2022).</p>
What is a Predatory Journal?
<p>In our modern world, where information flows freely and everyone is more connected than ever, the way research is published has changed a lot. There's this idea of open-access journals, which were created to make knowledge available to everyone. But something not-so-good has also happened because of this.</p> <p>There are these things called predatory journals. They take advantage of the idea of open access and the fact that a lot of publishing happens online now. These journals care more about making money than checking if the research is really good. They trick researchers who want their work to be published by making them pay a lot of money. But they don't do a good job of reviewing the research before publishing it.</p> <p>This became a big problem around the end of the 1900s that continue until today, when online publishing became popular. Researchers felt pressured to get their work out there, and these predatory journals took advantage of that.</p> <p>Imagine you're buying a car. You'd want to know if it's a good car, right? It's the same with journals. Check if they have a good reputation. See if they've done things in the past that aren't honest. Be careful if something doesn't seem right.</p>
Dataset for the publication titlted "A computational mechanics model for producing molecular assembly using molecularly woven pantographs" in the journal Cell Reports Physical Science, authored by Byeonghwa Goh and Joonmyung Choi.
<p>Dataset for the publication titlted "A computational mechanics model for producing molecular assembly using molecularly woven pantographs" in the journal Cell Reports Physical Science, authored by Byeonghwa Goh and Joonmyung Choi.</p>
DATASET. LIST OF JOURNAL ARTICLES AND BOOK CHAPTERS THAT DEALT WITH MEDIA REPRESENTATIONS OF FEMICIDE.
<p><span>The dataset contains the list of 213 </span><span>journal articles and book chapters that deal with media empirical evidence on femicide, available in <span>Scopus, Web of Science (WoS), and EBSCOhost.</span> The dataset includes three sheets in one file, the first contains a list of the 213 documents available in the three databases including their bibliographic information, general description, and keywords describing the main results. The second sheet contains the codes for variables, and the third sheet contains the list of a subgroup of articles available in <span>Scopus and Web of Science (WoS)</span>. </span></p>
AI/ML mentions in AGU abstracts 2012-2023 and Data DOIs in AGU journals 2019-2022
<p>Dataset published in <a href="https://ui.adsabs.harvard.edu/link_gateway/2023Natur.623...28H/doi:10.1038/d41586-023-03316-8">10.1038/d41586-023-03316-8</a></p> <p>Updated with 2023 abstract data from AGU 23 annual meeting in San Francisco.</p>
SANT images selected for front pages of Galicia21 journal
<p>Plants curation, databasing and imaging: <a title="Herbario SANT. Universidade de Santiago de Compostela" href="https://www.usc.es/herbario" target="_blank" rel="noopener">SANT herbarium</a></p> <p>Front page designs: <a href="http://desescribir.com/" target="_blank" rel="noopener">desescribir</a></p> <p>Journal access: <a href="http://www.galicia21journal.org/" target="_blank" rel="noopener">http://www.galicia21journal.org/</a></p>
The results of thermodynamic calculations for alloys presented in a paper published in Journal of Materials Research and Technology, 2023, 27, pp. 6182–6191
<p>Thermophysical data for the alloys developed within the project. The results have been published in ournal of Materials Research and Technology, 2023, 27, pp. 6182–6191.</p>
List of academic journals
<p>List of 48 academic journals published by national institutions included in the study. </p>
Data referring to the Article "Harmonized Skies: A Survey on Drone Acceptance across Europe" published in Drones Journal
<p><span>The material provided is part of the article "Harmonized Skies: A Survey on Drone Acceptance across Europe," published in the Drones Journal (https://doi.org/10.3390/drones8030107). This article describes a study investigating civil drone acceptance in six different EU countries. This study was part of the USpace4UAM project (Grant Agreement No 101017643). The material includes the data set for the study described and the Python codes for the random forest analysis carried out to investigate the influence of demographic and personnel factors on drone acceptance.</span></p>
Raw data for Figures 5-8 for journal article: "Experimental investigation of the effect of middle ear in bone conduction"
<p>This is a data set contaning the raw data for figures 5-6 from the journal article:</p> <p>"Experimental investigation of the effect of middle ear in bone conduction"</p> <p>Original article DOI: 10.1016/j.heares.2020.108041</p> <p>Original article link: https://pubmed.ncbi.nlm.nih.gov/32810722/</p> <p> </p> <p>The data is contained within MATLAB figure (.fig) files, all saved with MATLAB version R2020a.</p> <p> </p>
Raw data for Figures 1-4 for journal article: "Transcutaneous and percutaneous bone conduction sound propagation in single-sided deaf patients and cadaveric human whole heads"
<p>This is a data set containing the raw data for figures 1-4 from the journal article:</p> <p>"Transcutaneous and percutaneous bone conduction sound propagation in single-sided deaf patients and cadaveric human whole heads"</p> <p>Original article DOI: 10.1080/14992027.2021.1903586</p> <p>Original article link: https://pubmed.ncbi.nlm.nih.gov/34097554/</p> <p> </p> <p>The data is contained within plots in word files, created with Microsofft Office (v18).</p>
Raw data for journal article: "Wave propagation across the skull under bone conduction: Dependence on coupling methods"
<p>This is a data set containing the raw data for figures 3-6 from the journal article:</p> <p>"Wave propagation across the skull under bone conduction: Dependence on coupling<br>methods"</p> <p>Original article DOI: 10.1121/10.0009676</p> <p>Original article link: https://pubmed.ncbi.nlm.nih.gov/35364950/</p> <p> </p> <p>The Fig 3 and 4 data are contained within MATLAB figure (.fig) files, all saved with MATLAB version R2020a.</p> <p>Fig 5 and 6 data are 3D velocity data for 5 cadaver heads (CH1-5) and FEM predictions.</p> <p>This data are stored within a folder structure indicating the stimulation condition (defined in the journal article). For example "Cadaver head data\CH1\Attract" contains cadaver head data for cadaver head 1 (CH1) with stimulation "Attract", as defined in the journal article above.</p> <p>For each combination of cadaver head (or FEM) and stimulation condition there is a TXT file (comma delimited) for the real and imaginary data at each stimulation frequency, and orthogonal velocity axis (X,Y,Z based on the anatomical coordinate system defined in the journal article) as well as the combined (maximum) velocity vector. The data set also includes a TXT file with the position (in same coordinate system the velocity data) of each measurement point and a list of stimulation frequencies.</p>
Raw data for journal article: "Intracochlear pressure in cadaver heads under bone conduction and intracranial fluid stimulation"
<p>This is a data set containing the raw data for figures 7-14 from the journal article:</p> <p>"Intracochlear pressure in cadaver heads under bone conduction and intracranial fluid stimulation"</p> <p>Original article DOI: 10.1016/j.heares.2022.108506</p> <p>Original article link: https://pubmed.ncbi.nlm.nih.gov/35459531/</p>
Raw data for journal article: "Intracochlear pressure and temporal bone motion interaction under bone conduction stimulation""
<p>This is a data set containing the raw data for figures 3-6 from the journal article:</p> <p>"Intracochlear pressure and temporal bone motion interaction under bone conduction stimulation"</p> <p>Original article DOI: 10.1016/j.heares.2023.108818</p> <p>Original article link: https://pubmed.ncbi.nlm.nih.gov/37267833/</p> <p> </p> <p>The Fig 4-8 data are contained within MATLAB figure (.fig) files, all saved with MATLAB version R2020a.</p> <p>Fig 9-10 data are 3D velocity data for 3 cadaver heads (CH1-3), each recorded at the left (L) and right (R) side, all within the folder "Velocity data".</p> <p>This data are stored within a folder structure indicating the stimulation condition (defined in the journal article). For example "Velocity data\CH1-L\Stim @ BAHA" contains data for the left side of cadaver head 1 (CH1) with stimulation "Stim @ BAHA", as defined in the journal article above. </p> <p>For each combination of cadaver head and stimulation condition there is a TXT file (comma delimited) for the real and imaginary data at each stimulation frequency, and orthogonal velocity axis (X,Y,Z based on the anatomical coordinate system defined in the journal article) as well as the combined (maximum) velocity vector. The data set also includes a TXT file with the position (in same coordinate system the velocity data) of each measurement point and a list of stimulation frequencies.</p> <p>The data set also includes the geometry of the skull bone surface of each cadaver head (CH) in the form of STL file, all within the folder "Skull surface data".</p>
Supplementary files and data Files for "Discordance between mitochondrial, nuclear, and symbiont genomes in aphid phylogenetics: who is telling the truth?" Zoological journal of the Linnean society, 2024, vol 1, issue 4. https://doi.org/10.1093/zoolinnean/zlae098
<p>This repository comprises</p> <ul> <li>a file with all supplementary Tables (<strong>Supplementary_Tables</strong>). Table S1: Collection details and voucher ID for aphid samples from the CBGP-Inrae collection, data origin is given for other specimens. Table S2: Amplification success of long range DNA fragments from mitochondrial genomes . Table S3: Primers used for fluidigm aplification of nuclear genes and sequencing success. Table S4. Genomic features of newly sequenced Buchnera aphidicola with aphid taxonomic affiliation. Table S5: Summary of models used for each ML analysis and corresponding log-likelihood score of the best tree.Table S6: Output of RERConverge analyses.</li> <li>two Supplementary figures: Figure S1: Workflow of phylogenetic analyses as implemented on each dataset. Figure S2: Plot depicting the genome-wide pattern of molecular evolution (dN/dS) between disymbiotic (n = 15) and monosymbiotic aphid (n = 45) branches across the ML phylogeny (horizontal bars indicate 95% CI of the means). <em>P</em> value was calculated by using Wilcoxon Rank test.</li> <li>a word file (Text S1) with : Details of protocol for obtaining mitochondrial genomes through long-range DNA amplifications and Illumina sequencing, and two-step PCR protocole.</li> <li>an archive (archive1) with the mitochondrial AA and DNA matrices and alternative phylogenetic trees under ML and Bayesian analyses ; </li> </ul> <ul> <li>an archive (archive2) with the nuclear AA and DNA matrices and alternative phylogenetic trees under ML and Bayesian analyses</li> <li>an archive (archive 3) with the twelve new <em>Buchnera</em> genome drafts.</li> <li> an archive (archive4) with the <em>Buchnera</em> AA matrices and alternative topologies </li> </ul> <p> </p>
Data on soil variables (with plot IDs) and grassland species traits used for the analysis of grassland vegetation data by Pillar, V.D. (2024) Trait divergence in plant community assembly is generated by environmental factor interactions. Journal of Vegetation Science, 35, e13259. Available from: https://doi.org/10.1111/jvs.13259
<p>File <a href="../api/records/10983049/draft/files/Plot_IDs_990ua.txt/content" target="_blank" rel="noopener noreferrer">Plot_IDs_990ua.txt</a> contains the IDs of the 1-m2 plots used for the analysis of grassland vegetation data by Pillar, V.D. (2024) Trait divergence in plant community assembly is generated by environmental factor interactions. The plot data are stored in the sPlot database (PPBio South Brazilian Grassland Database).</p> <p>File <a href="../api/records/10983049/draft/files/E_990ua_21SoilVar.txt/content" target="_blank" rel="noopener noreferrer">E_990ua_21SoilVar.txt</a> contains data on soil variables evaluated in the 250 m transects, but here expanded to the 990 1-m2 plots (each transect was sampled using 10 1-m2 pots).</p> <p>File <a href="../api/records/10983049/draft/files/B_769spp_4t.txt/content" target="_blank" rel="noopener noreferrer">B_769spp_4t.txt</a> is the species trait database collected in the framework of several research projects in the Quantitative Ecology Lab (EcoQua) and Grassland Vegetation Studies Lab (LevCamp) of Universidade Federal do Rio Grande do Sul (UFRGS). Data gaps were filled by compiled from the TRY database and data imputation.</p> <p> </p> <p> </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.