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15,733 results for “article”
Aligned DNA sequence matrix for phylogenetic analyses in the article "New species of fossorial salamanders of the genus Oedipina (Plethodontidae) from the northwestern Ecuador"
<p>Aligned DNA sequence matrix for phylogenetic analyses of the article "New species of fossorial salamanders of the genus Oedipina (Plethodontidae) from the northwestern Ecuador". The matrix is in NEXUS format.</p> <p>Gene partitions are arranged as follows (tRNAs are included as part of larger adjacent genes):</p> <p>16S = 4- 789 1761- 1891 ;<br> ND1-codonPos1 = 790-1759\3;<br> ND1-codonPos2 = 791-1760\3;<br> ND1-codonPos3 = 792-1758\3;<br> CytB-codonPos1 = 1893-2274\3;<br> CytB-codonPos2 = 1894-2275\3;<br> CytB-codonPos3 = 1892-2276\3;</p>
Benign samples used in article "DeepDetectNet vs RLAttackNet: An Adversarial Method to Improve Deep Learning-based Static Malware Detection Model"
<p>This repository contains all benign samples used in article "DeepDetectNet vs RLAttackNet: An Adversarial Method to Improve Deep Learning-based Static Malware Detection Model". It is safe to download these samples.</p>
Data and Python script for article "A text mining analysis of the climate change literature in industrial ecology'
<p>The data and Python script are part of the forum article "A text mining analysis of the climate change literature in industrial ecology" authored by Dayeen, F.R., Sharma, A.S., and Derrible, S., and published in the <em>Journal of Industrial Ecology</em> in 2020.</p> <p>The Python script and instructions are included in the LiTCoF_v1.00-py.zip file. The original data is available in two formats: .csv and .pkl.</p> <p>Updates of the script will be posted at https://github.com/csunlab/LiTCoF and at https://csun.uic.edu/codes/LiTCoF.html. The data is also available at https://csun.uic.edu/datasets.html#AbstractsIE.</p> <p>Feel free to contact any of the authors for information and questions about the data and code.</p>
mTOR-iMCD-Blood_Article_Data_Repository
<p>This permanent Zenodo entry corresponds to the original data used for the manuscript: "<strong>Increased mTOR activation in idiopathic multicentric Castleman disease" </strong>accepted for publication by <a href="https://ashpublications.org/blood">Blood</a>. </p> <p>Original data for Figure 5 (proteomics) of the manuscript is available upon reasonable request to the corresponding author of the article.</p>
Data for the article "New insights into the rheology of cohesive granular media".
<p>The compressed directory contains the data in .csv format for the Pyhton scripts of the figures. </p>
Dataset related to article "IL1R8 Deficiency Drives Autoimmunity-Associated Lymphoma Development."
<p>Chronic inflammation, including that driven by autoimmunity, is associated with the development of B-cell lymphomas. IL1R8 is a regulatory receptor belonging to the IL1R family, which negatively regulates NF-κB activation following stimulation of IL1R or Toll-like receptor family members. IL1R8 deficiency is associated with the development of severe autoimmune lupus-like disease in <em>lpr</em> mice. We herein investigated whether concomitant exacerbated inflammation and autoimmunity caused by the deficiency of IL1R8 could recapitulate autoimmunity-associated lymphomagenesis. We thus monitored B-cell lymphoma development during the aging of IL1R8-deficient <em>lpr</em> mice, observing an increased lymphoid cell expansion that evolved to diffuse large B-cell lymphoma (DLBCL). Molecular and gene-expression analyses showed that the NF-κB pathway was constitutively activated in <em>Il1r8</em> <sup>-/-</sup>/<em>lpr</em> B splenocytes. In human DLBCL, <em>IL1R8</em> had reduced expression compared with normal B cells, and higher <em>IL1R8</em> expression was associated with a better outcome. Thus, <em>IL1R8</em> silencing is associated with increased lymphoproliferation and transformation in the pathogenesis of B-cell lymphomas associated with autoimmunity.</p>
Dataset related to article "NK cell recruitment in salivary glands provides early viral control but is dispensable for tertiary lymphoid structure formation."
<p>Salivary glands (SGs) represent a permissive site for several sialotropic viruses whose persistence is linked to the development of autoimmunity. Natural Killer (NK) cells play a key role in viral clearance but their involvement in viral infection control and in tertiary lymphoid structures (TLS) development within SGs is unknown. By using an inducible model of TLS in the SGs of wild-type C57BL/6 mice, induced by the local delivery of a replication-defective adenovirus (AdV), we demonstrated that circulating NK cells are rapidly recruited to SGs and highly enrich the early inflammatory infiltrate prior to TLS development. NK cells migrating to SGs in response to AdV infection up-regulate NKp46, undergo proliferation, acquire cytotoxic potential, produce Granzyme-B and IFN-γ, and reduce viral load in the acute phase of the infection. Nonetheless, the selective depletion of both circulating and infiltrating NK cells in AdV-infected mice neither affect the development and frequency of TLS nor the onset of autoimmunity. These data demonstrate that, upon local viral delivery of AdV, peripheral NK cells homing to SGs can exert an early control of the viral infection but are dispensable for the formation of TLS and breach of immunologic tolerance.</p> <p> </p> <p>This research used pzf and ets file form extensions, we attach pdfs information about</p>
Dataset related to article "CXCR3 Identifies Human Naive CD8+ T Cells with Enhanced Effector Differentiation Potential."
<p>In mice, the ability of naive T (T<sub>N</sub>) cells to mount an effector response correlates with TCR sensitivity for self-derived Ags, which can be quantified indirectly by measuring surface expression levels of CD5. Equivalent findings have not been reported previously in humans. We identified two discrete subsets of human CD8<sup>+</sup> T<sub>N</sub> cells, defined by the absence or presence of the chemokine receptor CXCR3. The more abundant CXCR3<sup>+</sup> T<sub>N</sub> cell subset displayed an effector-like transcriptional profile and expressed TCRs with physicochemical characteristics indicative of enhanced interactions with peptide-HLA class I Ags. Moreover, CXCR3<sup>+</sup> T<sub>N</sub> cells frequently produced IL-2 and TNF in response to nonspecific activation directly ex vivo and differentiated readily into Ag-specific effector cells in vitro. Comparative analyses further revealed that human CXCR3<sup>+</sup> T<sub>N</sub> cells were transcriptionally equivalent to murine CXCR3<sup>+</sup> T<sub>N</sub> cells, which expressed high levels of CD5. These findings provide support for the notion that effector differentiation is shaped by heterogeneity in the preimmune repertoire of human CD8<sup>+</sup> T cells.</p>
List of journal articles on vaccination and autism
<p>List of open access journal articles, dois, Altmetric.com IDs and public dates on the topic of vaccination and autism. Article titles and dois were collected from January 2016 to June 2017 using purposive and snowball sampling. Altmetric IDs were collected in April 2018 using the Altmetric Explorer. The data were used to study the use of open access journal articles by the anti-vaccination movement in the social media. </p>
Raw data for Article "Copper-Catalyzed Oxyvinylation of Diazo Compounds"
<p>Raw NMR, MS and IR data for the related publication in Organic Letters: <a href="http://dx.doi.org/10.1021/acs.orglett.0c01150">http://dx.doi.org/10.1021/acs.orglett.0c01150</a></p> <p>The number of the folders correspond to compounds numbers in the article. All details concerning conditions and equipment for measurements can be found in the supporting information of the article.</p>
Research Data for article "Clava: C/C++ source-to-source compilation using LARA"
<p>Setup and results for the Section "4. Impact" of the article "Clava: C/C++ source-to-source compilation using LARA"</p> <p>#4.1. Stress Test</p> <p>Instruments several large programs so that they produce a call graph when the program executes.</p> <p>To run the test use the command: clava -c stress_test.clava</p> <p>Some examples (e.g., gcc.c) will only parse sucessfully on a Linux machine.</p> <p>## Files</p> <p>'stats-raw_data.zip' - Raw results taken for the article.</p> <p>'processed_stats.json' - Processed results that are presented in the article.</p> <p><br> #4.3. OpsCounter</p> <p>Instruments the NAS benchmark set so that it counts the number of source code operations executed by the kernels.</p> <p>To run the test use the command: clava -c ops_counter.clava</p> <p>## Files</p> <p>'OpsCounterNAS_S_W_A.json' - Raw results taken for the article.</p> <p>'Results.xlsx' - Processed results that are presented in the article.</p>
Supplementary data for article 'Estimating and abstracting the 3D structure of feline bones using neural networks on X-ray (2D) images'
<p>3D DICOM volumes (CT scans) of feline femora, PNGs generated from them as DRRs using MeVisLab, and STLs generated from the DICOM volumes with MIMICS or MeshLab. Software to work with these files can be found at http://doi.org/10.5281/zenodo.3829423</p>
Supplement to the article "Predicting the morphology of ice particles in deep convection using the super-droplet method" (Shima et al., 2020, GMD)
<p>This is a supplement to the article "Predicting the morphology of ice particles in deep convection using the super-droplet method" authored by Shin-ichiro Shima, Yousuke Sato, Akihiro Hashimoto, and Ryohei Misumi, published in Geosci. Model Dev., 2020.</p> <p>Typical realization of CTRL, simulated by SCALE-SDM 0.2.5-2.2.0</p> <ul> <li>Movie01.QHYD_TYP-CTRL_2.2.0.gif: Spatial structure of the cumulonimbus</li> <li>Movie02.M-D_TYP-CTRL_2.2.0.gif: Mass-dimension relationship of the ice particles</li> <li>Movie03.phi-D_TYP-CTRL_2.2.0.gif : Aspect ratio–dimension relationship of the ice particles</li> <li>Movie04.rho-D_TYP-CTRL_2.2.0.gif : Apparent density–dimension relationship of the ice particles</li> <li>Movie05.V-D_TYP-CTRL_2.2.0.gif : Velocity-dimension relationship of the ice particles</li> </ul> <p>One realization of DX/2, simulated by SCALE-SDM 0.2.5-2.2.0</p> <ul> <li>Movie06.QHYD_DXx0.5_2.2.0.gif: Spatial structure of the cumulonimbus</li> </ul> <p>The same setup as Moves 1-5 (typical realization of CTRL) is used, but simulated by SCALE-SDM 0.2.5-2.2.1</p> <ul> <li>Movie07.QHYD_TYP-CTRL.2.2.1.gif: Spatial structure of the cumulonimbus</li> <li>Movie08.M-D_TYP-CTRL_2.2.1.gif: Mass-dimension relationship of the ice particles</li> <li>Movie09.phi-D_TYP-CTRL_2.2.1.gif: Aspect ratio–dimension relationship of the ice particles</li> <li>Movie10.rho-D_TYP-CTRL_2.2.1.gif: Apparent density–dimension relationship of the ice particles</li> <li>Movie11.V-D_TYP-CTRL_2.2.1.gif: Velocity-dimension relationship of the ice particles</li> </ul> <p>The same setup as Moves 1-5 (typical realization of CTRL) is used, but simulated by SCALE-SDM 0.2.5-2.2.2</p> <ul> <li>Movie12.QHYD_TYP-CTRL.2.2.2.gif: Spatial structure of the cumulonimbus</li> <li>Movie13.M-D_TYP-CTRL_2.2.2.gif: Mass-dimension relationship of the ice particles</li> <li>Movie14.phi-D_TYP-CTRL_2.2.2.gif: Aspect ratio–dimension relationship of the ice particles</li> <li>Movie15.rho-D_TYP-CTRL_2.2.2.gif: Apparent density–dimension relationship of the ice particles</li> <li>Movie16.V-D_TYP-CTRL_2.2.2.gif: Velocity-dimension relationship of the ice particles</li> </ul>
Data for article "Triazene-Activated Donor–Acceptor Cyclopropanes: Ring-Opening and (3 + 2) Annulation Reactions"
<p>This upload contains raw data (NMR, X-Ray) files for the article: </p> <p>A. A. Suleymanov, E. Le Du, Z. Dong, B. Muriel, R. Scopelliti, F. Fadaei-Tirani, J. Waser, K. Severin, </p> <p>"Triazene-Activated Donor-Acceptor Cyclopropanes: Ring-Opening and (3 + 2) Annulation Reactions"</p> <p><em>Org. Lett. </em><strong>2020</strong>, DOI: 10.1021/acs.orglett.0c01527<em>.</em></p>
Dataset for article Astrochemical relevance of VUV ionization of large PAH cations
<p>Dataset for the article "Astrochemical relevance of VUV ionization of large PAH cations" (DOI: 10.1051/0004-6361/202038139)</p> <p>Folders:<br> - ActionSpectra contains the action spectra data (Fig. 3)<br> - BranchingRatio contains the branching ratio data (Fig. 4)<br> - CrossSections contains the cross sections data (Figs. 5 and 6)<br> - PhotoionizationYields contains the yields data (Fig. 8)</p> <p>Files:<br> - MassSpectrum_C32H14+.txt contains the example mass spectra (Fig. 2)<br> - PhotoabsorptionCrossSections+.txt contains all four calculated photoabsorption cross sections and their mean in one file</p>
Geopackage of data for Historical Archaeology and JOAD article
<p>This file is a Geopackage database that includes the following:</p> <p>For raster files, *Raw* indicates that data is the same as the previously archived version and "Rendered" indicates the visualization of that data. </p> <p>"DigitalElevationModelRaw" and "DigitalElevationModelRendered" are based upon Digital Elevation Model for Blue Mountain Charcoal Research Project. <a href="https://zenodo.org/record/1252441">https://zenodo.org/record/1252441</a></p> <p>"HillshadeRaw" and "HillshadeRendered" are based upon Hillshade Analysis of "Digital Elevation Model for Blue Mountain Charcoal Research Project". <a href="https://zenodo.org/record/1252520">https://zenodo.org/record/1252520</a></p> <p>"SlopeRaw" and "SlopeRendered" are based upon Slope Analysis of "Digital Elevation Model for Blue Mountain Charcoal Research Project". <a href="https://zenodo.org/record/1252977">https://zenodo.org/record/1252977</a></p> <p>"Hearths" = Identified Charcoal Hearths from "Slope Analysis of 'Digital Elevation Model for Blue Mountain Charcoal Research Project'". <a href="https://zenodo.org/record/1252985">https://zenodo.org/record/1252985</a></p> <p>"ResearchArea" = Blue Mountain Charcoal Project Research Area. <a href="https://zenodo.org/record/1252418">https://zenodo.org/record/1252418</a></p> <p>The collection of this data is described here:</p> <p>Description of Methods for Identifying Charcoal Hearths along the Blue Mountain of Pennsylvania. <a href="https://zenodo.org/record/1255101">https://zenodo.org/record/1255101</a></p> <p>And is published here:</p> <p>Carter, Benjamin P. 2019. “Identifying Landscape Modification Using Open Data and Tools: The Charcoal Hearths of the Blue Mountain, Pennsylvania.” <em>Historical Archaeology</em> 53 (2): 432–43. <a href="https://doi.org/10.1007/s41636-019-00171-1">https://doi.org/10.1007/s41636-019-00171-1</a>.</p> <p>Carter, Benjamin. 2019. “Data for ‘Identifying Landscape Modification Using Open Data and Tools: The Charcoal Hearths of the Blue Mountain, Pennsylvania.’” <em>Journal of Open Archaeology Data</em> 7 (July). <a href="https://doi.org/10.5334/joad.53">https://doi.org/10.5334/joad.53</a>.</p> <p>This data can be visualized here: NEEDED</p>
Data for journal article: "Automated precipitation monitoring with the Thies disdrometer: Biases and ways for improvement"
<p>This dataset contains data used for the journal article" Automated precipitation monitoring with the Thies disdrometer: Biases and ways for improvement" submitted to Atmospheric Measurement Techniques.</p>
SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles
<p>This dataset contains the files and annotations for <a href="https://propaganda.qcri.org/semeval2020-task11/index.html">SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles</a>. The task was composed by two subtasks: span identification (SI) and technique classification (TC). This dataset includes the following:</p> <ul> <li>The text files for training, development, and testing sets for both the SI and the TC tasks.</li> <li>The gold-standard files for the training sets, for both the SI and the TC task</li> </ul> <p>Our propaganda identification initiative remains active. We keep a <a href="https://propaganda.qcri.org/ptc/leaderboard.php">live leader-board</a> reporting the performance of models submited up to date.</p> <p><strong>Reference</strong></p> <p>Giovanni Da San Martino, Alberto Barrón-Cedeño, Henning Wachsmuth, Rostislav Petrov, and Preslav Nakov. 2020. <a href="https://propaganda.qcri.org/">Task 11: Detection of Propaganda Techniques in News Articles</a>. In Proceedings of the 14th International Workshop on Semantic Evaluation (SemEval 2020). Barcelona, Spain (2020)</p> <p> </p> <pre><code>@InProceedings{SemEval20-11-DaSanMartino, author = "Da San Martino, Giovanni and Barr\'{o}n-Cede\~no, Alberto and Wachsmuth, Henning and Petrov, Rostislav and Nakov, Preslav", title = "{SemEval}-2020 Task 11: {D}etection of Propaganda Techniques in News Articles", pages = "", abstract = "We describe the outcome of the SemEval 2020 Task 11 on the detection of propaganda in news articles. We present two tasks. In the first task, systems are asked to identify specific text spans in a free text where propaganda is being applied. In the second task, systems are asked to identify the propaganda technique being applied in a text span. We describe the construction of the evaluation framework (dataset and evaluation metrics) as well as the approaches explored by the different participants. ", crossref = "SemEval20" }</code></pre> <p> </p>
GDELT Articles Graph
<p>This dataset contains news articles and information about organizations and persons mentioned in the articles. The dataset has the form of a graph. It has been produced by the SmartDataLake project (<a href="https://smartdatalake.eu">https://smartdatalake.eu</a>), using data collected from the GDELT project (<a href="https://www.gdeltproject.org">https://www.gdeltproject.org</a>).</p>
Dataset for the article "Dalton Project: A Python platform for molecular- and electronic-structure simulations of complex systems"
<p>This dataset contains additional material related to the article "Dalton Project: A Python platform for molecular- and electronic-structure simulations of complex systems". The article is available at <a href="https://doi.org/10.1063/1.5144298">https://doi.org/10.1063/1.5144298</a> (open access).<br> <br> Note that the current version of the dataset is not complete. The complete dataset will be uploaded as soon as possible.</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.