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6,059 results for “Journal”
Journal articles published by family and community physicians from Brazil up to 2018
<p>Data on articles published by family in commnity from Brazil up to 2018. See articles <a href="https://doi.org/10.1136/fmch-2020-000321">Fontenelle, Rossi, et al. (2020)</a> and <a href="https://doi.org/10.5712/rbmfc16(43)2589">Fontenelle et al. (2021)</a> to understand how the dataset was compiled from the data sources.</p> <p>This is a semicolon-separated CSV file with a byte-order mark, so that it can be openned by Microsoft Excel users in Brazil. Users of LibreOffice Calc and dedicated statistical software should be able do adapt without trouble. The accompanying data dictionary is recorded in the same format.</p> <p>The CNPq ID number links to the dataset <a href="https://doi.org/10.5281/zenodo.3376310">Fontenelle et al. (2019)</a>, and the NLM ID string links to the dataset <a href="https://doi.org/10.5281/zenodo.4459429">Fontenelle, Oliveira et al. (2021)</a>.</p>
Zenodo package for Mao et al. AAS journal submitted
<p>The supplementary materials here contain data and python3 notebooks to reproduce figures in the paper submitted by Mao et al. to the AAS journal. </p> <p>To run the notebooks via Anaconda 3<br> Step 1: Download and install <a href="https://www.anaconda.com/distribution/">Anaconda 3</a> on your computer. Once you are under the Anaconda 3 environment, you can continue with this tutorial.</p> <p>Step 2: Download and unpack the tarball from Zenodo.</p> <pre><code>tar -xvf handhelike-zenodo.tar.gz</code></pre> <p> Step 3: Install the dependencies (incl. numpy, scipy, etc.) via pip or conda if required</p> <pre><code>cd zenodo pip install -r requirements.txt conda install --yes --file requirements.txt</code></pre> <p>Step 4: Run the python notebooks.</p> <pre><code>cd pynb python run_plot_cfcsd.py</code></pre> <p> </p>
Can an artificial intelligence tool accurately classify top-ranked psychology journals as predatory or non-predatory?
Open the record for dataset details and reuse information.
Timeline for cases associated with Letter to the Editors sent for publication in different biomedical journals
<p>These cases are concerned with the handling of the manuscript by journal editors and the experience gained by the eauthors.</p>
Supplemental Figures and Video for the manuscript Leben et al, 2019, International Journal of Molecular Sciences
<p>Supplemental Figures and Video for the manuscript Leben et al, 2019 to IJMS, section "Molecular Immunology"</p>
Data set associated with submitted journal article.
<p>This is a data set associated with submitted journal article. At the moment this data is intended to be open to the reviewers for potential evaluation.</p>
Dataset from: "Articles Examining Medical Errors in Emergency Medicine Journals: A Comprehensive Visualization and Bibliometric Analysis"
Open the record for dataset details and reuse information.
Retraction gap in Neurosurgery Journals
<p>This is the final data set for our study on the retraction gap in Neurosurgery. </p>
Pandemic alters journal revision time
<p>Database of submission-to-publication time for 5790 articles in eight medical and eight ecology journals for 2018-2020.</p>
Data Journals: A Survey - Tables
<p>This dataset groups all the tables supplementing the contents of the article "Data Journals: A Survey", which is going to be published by the <em>Journal of the Association for Information Science and Technology</em> (JASIST).</p> <p>Tables are published without header. Any details can be found in the article.</p> <p><strong>Abstract</strong></p> <p>Data occupy a key role in our information society. However, although the amount of published data continues to grow and terms like “data deluge” and “big data” today characterize numerous (research) initiatives, a lot of work is still needed in the direction of publishing data in order to make them effectively discoverable, available, and reusable by others. Several barriers hinder data publishing, from lack of attribution and rewards, vague citation practices, quality issues, to a rather general lack of data sharing culture. Lately, data journals came forward as a solution to overcome some of these barriers. In this study of more than 100 currently existing data journals, we describe the approaches they promote for description, availability, citation, quality and open access or datasets. We close by identifying ways to expand and strengthen the data journals approach as a means to actually promote datasets access and exploitation.</p>
Data from Faculty Survey about Journal Use
<p>Surveyed Faculty to determine what journals they thought were critical, useful, and prestigious. This is the slightly processed results from that survey.</p>
Table S1 - Journal of Glaciology
<p>Table supplementary for paper submitted to the Journal fo Glaciology.</p> <p> </p> <p>*Please, use the data only for scientific purpose with properly citation</p>
Dataset associated with the journal publication "EXTRA-NUCLEAR TERT COUNTERACTS OXIDATIVE STRESS AND PROMOTES PROGRESSION IN PAPILLARY THYROID CARCINOMA"
<p>Abstract:</p> <p>The reactivation of TERT is associated with poor outcome in papillary thyroid cancer (PTC). Extra-telomeric functions of TERT were reported, with a protective role against oxidative stress (OS). The aim of the present study was to explore the extra-nuclear TERT localization in PTC and its role in cancer progression.</p> <p>TERT nuclear export under OS were analyzed in K1 PTC cell line. We investigated the role of different TERT localizations using specific TERT constructs that limit its localization to the nucleus or to the mitochondria. The effect of SRC kinase inhibitor PP2, which reduces TERT nuclear export, was investigated as well. Moreover, TERT localization was analyzed in 39 PTC tissues and correlated with the genetic profile and the level of OS, DNA damage and apoptosis in the tumors and with the clinical characteristics of the patients.</p> <p><a name="_Hlk150318531"></a>We demonstrated that TERT is exported from the nucleus in response to OS induced either from H2O2 or the BRAF inhibitor PLX4720. We proved that extra-nuclear TERT reduces mitochondrial OS and induces mitochondrial fragmentation. Moreover, limiting mitochondrial TERT localization reduced proliferation, migration, AKT phosphorylation and glycolysis and increased DNA damage and p21 expression. Finally, in PTC tissues the fraction of mitochondrial/nuclear TERT resulted inversely correlated with OS and p21 expression and associated with tumor persistence.</p> <p>In conclusion, our data indicate that extra-nuclear TERT is involved in reducing the effect of excessive OS, thus <a name="_Hlk150318490"></a>promoting cancer cell survival. Extra-nuclear TERT may thus represent a marker of cancer progression and a possible therapeutic target in PTC.</p> <p> </p> <p>This dataset of raw data cannot be made publicly available as it contains sensitive information, but may be made available to interested researchers on reasonable request at m.muzza@auxologico.it</p>
Data contained in "22-Kyr-Long Record Of Surface Faulting Along The Source Of The 30 October 2016 Earthquake (Central Apennines, Italy), From Integrated Paleoseismic Datasets" - Journal of Geophysical Research - Solid Earth - DOI: 10.1029/2019JB017757
<p>Data contained in “22-Kyr-Long Record Of Surface Faulting Along The Source Of The 30 October 2016 Earthquake (Central Apennines, Italy), From Integrated Paleoseismic Datasets” - Journal of Geophysical Research - Solid Earth - DOI: 10.1029/2019JB017757 by Cinti F.R.*, De Martini P.M.*, Pantosti D.*, Baize S.°, Smedile A.*, Villani F.*, Civico R.*, Pucci S.*, Lombardi A.M.*, Sapia V.*, Pizzimenti L.*, Caciagli M.*, Brunori C.A.*<br> * Istituto Nazionale di Geofisica e Vulcanologia, Italy<br> ° Institut de Radioprotection et de Sûreté Nucléaire, France</p>
Digital Accessibility of Life Science Data Portals and Journal Websites
<p>Enhancing the diversity and inclusion of the life sciences workforce has become an important problem as highlighted by many organizations in the US, including NIH, NHGRI, and NSF. People with visual impairments are one of the groups that face barriers to access to the biology workforce. To overcome this challenge, it is important to understand their current barriers in biological research and education. The most common assistive technology used by people with visual impairments is the screen reader (45.2%). However, multiple studies found that many websites largely fail to meet accessibility guidelines, making it challenging or even impossible for screen reader users to access existing resources. To help gain better insights into how well people with visual impairments can access existing biological resources, we evaluated the digital accessibility of two essential resources for data-driven studies—data portals and journal websites. Using an automated evaluation tool, we collected accessibility evaluation data for a large corpus of resources (<i>N</i>=3,943). In addition, we collected metadata of individual resources (e.g., geospatial, temporal, and impact score data) for a more insightful analysis. All datasets, as well as the entire source code, are available online on Zenodo and GitHub under a CC-BY and MIT license, respectively.</p>
Medical Journal of Souad Kafafi University Hospital logo prototype
<p>Our logo prototype version 1</p>
Tableau sur 8 data journals
<p>A tabela analisa as características de 8 periodicos de dados (Data Journals)</p>
List of sample journals
<p>ID, Group, SubID, Title, ISSN</p>
Data supplementing article "Sediment exchange between channel and sand ridges in the southern Yellow Sea " under review at the Journal of Geophysical Research - Oceans
<p>Data for Plotting</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.