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178 results for “Journal Articles”
Supplementary dataset for journal article "De novo MYC addiction as an adaptive response of cancer cells to CDK4/6 inhibition"
<p>Supplementary material for the journal article "De novo MYC addiction as an adaptive response of cancer cells to CDK4/6 inhibition".<br> 13C Metabolic flux analyses of CDK4/6 knockdown HCT116 cells and control HCT116 cells performed using INCA v1.5 (Young, J. D., 2014, INCA: a computational platform for isotopically non-stationary metabolic flux analysis. Bioinformatics 30, 1333-1335; http://mfa.vueinnovations.com.) running with MATLAB R2012b. The two files were generated by INCA with the estimated flux map distributions, network model, and tracer simulations.</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>
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>
Data from the journal article "Individual versus combined effects of warming, elevated CO2 and drought on grassland water uptake and fine root traits"
<p>This data file contains all data used in the aforementioned article (DOI: 10.1111/pce.15274). The data was obtained in a long-term multifactor global-change experiment (‘ClimGrass’) in a managed (three cuts, fertilized) C3 grassland near the central European Alps in Styria, Austria (47°29′44.6″N, 14°5′54.6″E). Grassland plots were exposed to six treatments: (i) ambient conditions (control; n = 8); (ii) drought (n = 4); (iii) warming (n = 3); (iv) elevated CO2 (n = 3), (v) future conditions (warming and elevated CO2; n = 3); and (vi) drought in future conditions (warming, elevated CO2 and drought; n = 4). The experiment was conducted during the growing seasons of 2017, 2019, and 2020. The aim was to determine how warming, elevated CO2 and drought individually and interactively affected root water uptake (RWU, calculated from soil water dynamics) as well as the corresponding mass and key traits (specific root length (SRL); specific root area (SRA); mean diameter) of newly produced fine roots (extracted using ingrowth cores) and biomass allocation (fine-root-to-shoot production ratios; R/S ratios). Treatment effects on RWU were studied across varying conditions of soil water content (SWC) and vapour pressure deficit (VPD), referred to as dryness conditions. Fine root characteristics were compared to the maximum hourly in-situ RWU observed. </p> <p>The following data is contained in this file (processed as described in the journal article and, importantly, in the supplementary information):<br>- data_SWC: SWC and precipitation, used to calculate RWU (resolution: hourly; figures: 1)<br>- data_RWU_daily: RWU for the main rooting horizon, fractions of total RWU across depth (resolution: daily; figures: 1, 2, 3)<br>- data_RWU_hourly: RWU for the main rooting horizon, SWC, VPD (resolution: hourly; figures: 1, 4, 5)<br>- data_FineRoots: Mass, traits (SRL, SRA, diameter) and maximum hourly RWU of newly produced fine roots across depth, R/S ratios (resolution: three samplings per growing season; figures: 6, 7)</p> <p>The metadata.xlsx file summarizes the contents of these datasets, including units and descriptions of the variables.</p> <p>Note below: the name of the project funded by the Austrian Academy of Sciences is ClimGrassHydro.</p>
Data archive for the peer-reviewed journal article "Online measurements during simulated atmospheric aging track the strongly increasing oxidative potential of complex combustion aerosols relative to their primary emissions"
<p>This data archive accompanies the article "Online measurements during simulated atmospheric aging track the strongly increasing oxidative potential of complex combustion aerosols relative to their primary emissions", which was accepted in November 2024 in the peer-reviewed journal Environmental Science and Technology Letters. The data archive contains the processed OP_DTT, PM loading, oxidant level, and elemental ratio measurements presented in this journal article. </p>
Crossref relationships between preprints and journal articles
<p>This dataset contains preprint-journal article relationships deposited by publishers with Crossref and/or discovered by an automated preprint matching strategy. It includes preprints and journal articles deposited until the end of February 2025. The following fields are included:</p> <ul> <li>preprint DOI (string)</li> <li>journal article DOI (string)</li> <li>whether the publisher of the journal article deposited this relationship (boolean)</li> <li>whether the publisher of the preprint deposited this relationship (boolean)</li> <li>the confidence score returned by the strategy (float, empty if the strategy did not discover this relationship)</li> </ul> <p>The code of the preprint matching strategy is available <a href="https://gitlab.com/crossref/labs/marple/-/tree/main/strategies_available/preprint_sbmv">here</a>.</p>
Data for the journal article "Brown Carbon from Biomass Burning Imposes Strong Circum-Arctic Warming"
<p>The data for the 3 figures in the journal article "Brown Carbon from Biomass Burning Imposes Strong Circum-Arctic Warming"</p>
Identified journal descriptor (JD), semantic type (ST), and MAUI keywords for PubMed/MEDLINE articles
<p>The Journal descriptor (JD) and Semantic type (ST) of PubMed articles were identified using a tool, called Journal descriptor indexing (JDI).</p> <p>MAUI keywords are identified by the MAUI tool and they can be used as a complement to MESH terms, as MeSH keywords are not always available in all PubMed articles.</p> <p>The methods of building the datasets can be found in the two articles: "Author name disambiguation in MEDLINE based on journal descriptors and semantic types" and " Exploring author name disambiguation on PubMed-scale"</p> <p>The PubMed database used is the 2019 baseline version, the number of articles in the two datasets are as follows:</p> <p>$ wc -l pubmed-paper-jd-st.tsv <br> 29796281 pubmed-paper-jd-st.tsv</p> <p>$ wc -l pubmed-paper-maui-keywords.tsv <br> 26509210 pubmed-paper-maui-keywords.tsv<br> </p>
Supplemental Material to Journal Article "Determination of as-built properties of fiber reinforced polymers in a wind turbine blade using scanning electron and high-resolution X-ray microscopy"
<p>This set supplements the figure data to the article "Determination of as-built properties of fiber reinforced polymers in a wind turbine blade using scanning electron and high-resolution X-ray microscopy", DOI: <a href="https://doi.org/10.1016/j.jcomc.2022.100310">https://doi.org/10.1016/j.jcomc.2022.100310</a></p>
Supporting Information for the Journal Article "The electrostatic potential as a descriptor for the protonation propensity in automated exploration of reaction mechanisms"
<p>This dataset contains the supporting information published together with the article "The electrostatic potential as a descriptor for the protonation propensity in automated exploration of reaction mechanisms" (<a href="https://doi.org/10.1039/C9FD00061E"><em>Faraday Discuss.</em>, <strong>2019</strong>, <em>220</em>, 443</a>).</p>
Supporting Information for the Journal Article "Systematic microsolvation approach with a cluster-continuum scheme and conformational sampling"
<p>This dataset contains the supporting information published together with the article "Systematic microsolvation approach with a cluster-continuum scheme and conformational sampling" (<a href="https://doi.org/10.1002/jcc.26161"><em>J. Comput. Chem.</em>, <strong>2020</strong>, <em>41</em>, 1144</a>).</p>
Supporting Information for the Journal Article "Self-Parametrizing System-Focused Atomistic Models"
<p>This dataset contains the supporting information published together with the article "Self-Parametrizing System-Focused Atomistic Models" (<a href="https://doi.org/10.1021/acs.jctc.9b00855"><em>J. Chem. Theory Comput.</em>, <strong>2020</strong>, <em>16</em>, 1646</a>).</p>
Data supplementing the article "Avoiding quantification bias in metabarcoding: application of a cell biovolume correction factor in diatom molecular biomonitoring" V. Vasselon, A. Bouchez, F. Rimet, S. Jacquet, R. Trobajo, M. Corniquel, K. Tapolczai, I. Domaizon submitted to Methods in Ecology and Evolution journal
<p>These data supplement the article "Avoiding quantification bias in metabarcoding: application of a cell biovolume correction factor in diatom molecular biomonitoring" V. Vasselon, A. Bouchez, F. Rimet, S. Jacquet, R. Trobajo, M. Corniquel, K. Tapolczai, I. Domaizon submitted to Methods in Ecology and Evolution journal</p> <p>The directory contains the following files:</p> <p>1<strong>5 fastq files raw reads (5 mock communities, 3 replicates)</strong><strong>.rar </strong>- contains the 15 fastq files provided by the sequencing platform with demultiplexed DNA reads (raw data prior any bioinformatics treatments).</p> <p><strong>15 fastq files information.xlsx</strong> :</p> <p>- contains the information relative to the 15 fastq files corresponding to the PGM raw data of the 5 mock communities (sequenced with 3 replicates), including: the ID of the fastq files, the mock community name, the replicate number, the final sample Id and the number of raw reads per fastq file.</p> <p>- contains the information of the proportion of the 8 diatoms species (%) used to create the 5 mock communities (estimated from microscopy).</p>
Data Set for the Journal Article "SCINE - Software for Chemical Interaction Networks"
<p>This data archive contains all data and software described and used in the following publication:</p> <p>Thomas Weymuth, Jan P. Unsleber, Paul L. Türtscher, Miguel Steiner, Jan-Grimo Sobez, Charlotte H.<br>Müller, Maximilian Mörchen, Veronika Klasovita, Stephanie A. Grimmel, Marco Eckhoff, Katja-Sophia<br>Csizi, Francesco Bosia, Moritz Bensberg, Markus Reiher, "SCINE --- Software for Chemical Interaction<br>Networks", in preparation.</p> <p>The directory structure is as follows:</p> <ul> <li>software: contains all software used for the example exploration <ul> <li>requirements.txt: lists all Python packages needed to create the virtual environment with which the exploration has been carried out; the virtual environment was created with Python 3.6.8.</li> <li>start.py: script to initialize the database with the reactants</li> <li>step_1.py: script to create the first set of reaction trials; after having set up the trials, execute the script "start.py" with the option "continue"</li> <li>step_2.py: script to create the second set of reaction trials; after having set up the trials, execute the script "start.py" with the option "continue"</li> <li>puffin_1.3.0.sif: Singularity image containing a full Puffin instance (version 1.3.0) to execute all calculations of the exploration</li> <li>submit_container.sh: script to submit the Puffin image to the queueing system</li> </ul> </li> <li>data: contains a complete dump of the database created during the example exploration; additionally, this directory contains a script called "import.sh" which can be used to reimport the data into a MongoDB instance</li> </ul>
Replication package for the article 'The residential patterns of Swiss urban elites. Continuity and change across elite categories (1890-2000),' to appear in the journal 'European Societies,' authored by Pierre Benz; Michael A. Strebel; Roberto Di Capua & André Mach.
<p>The documents in this replication package serve to reproduce the analysis for the article <br>'The residential patterns of Swiss urban elites. Continuity and change across elite categories (1890-2000),' to appear in<br>the journal 'European Societies,' authored by Pierre Benz; Michael A. Strebel; Roberto Di Capua & André Mach.<br>This replication package is created by Pierre Benz (pierre.benz@unil.ch).</p>
ScienceDex guides
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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.