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15,733 results for “article”
Dataset of article: Residual capacity of RC beams subjected to impact loading: influence of reinforcement ductility. Part 2: Series S
<p><strong>Part 2: Series S</strong></p> <p>Results in this dataset are presented in Johansson et. al. (2024). Any results used from this open access data shall be cited to:<br><br><span>Johansson M., Leppänen J., Andersson M. and Pettersson E. (2024). Residual Capacity of RC Beams Subjected to Impact Loading: Influence of reinforcement ductility. <em>International Journal of Protective Structures</em>. </span><a href="https://doi.org/10.1177/20414196241277221"><span>https://doi.org/10.1177/20414196241277221</span></a></p> <p>The presented data is based on Andersson and Pettersson (2019):</p> <p>Andersson M. and Pettersson E. (2019). Reinforced concrete beams subjected to drop-weight impact: Experimental study of the influence of reinforcement properties on the structural response. Department of Architecture and Civil Engineering. Gothenburg, Sweden: Chalmers University of Technology. Master’s Thesis ACEX30-19-27.</p> <p>---</p> <p>This dataset consists of the following records:</p> <p><strong>Part 1: General information</strong></p> <p>Andersson and Pettersson 2019 - Reinforced Concrete Beams Subjected to Drop-Weight Impact</p> <p><strong>Part 2: Series S</strong></p> <p>Static tests – COM Correlate files</p> <p><strong>Part 3: Series I10</strong></p> <p>Static tests – COM Correlate files</p> <p>Impact tests – High speed images</p> <p>Impact tests – COM Correlate files</p> <p><strong>Part 4: Series I20</strong></p> <p>Static tests – COM Correlate files</p> <p>Impact tests – High speed images</p> <p>Impact tests – COM Correlate files</p> <p><strong>Part 5: Result files</strong></p>
Dataset of article: Residual capacity of RC beams subjected to impact loading: influence of reinforcement ductility. Part 1: General information
<p><strong>Part 1: General information</strong></p> <p>Results in this dataset are presented in Johansson et. al. (2024). Any results used from this open access data shall be cited to:</p> <p><span>Johansson M., Leppänen J., Andersson M. and Pettersson E. (2024). Residual Capacity of RC Beams Subjected to Impact Loading: Influence of reinforcement ductility. <em>International Journal of Protective Structures</em>. </span><a href="https://doi.org/10.1177/20414196241277221"><span>https://doi.org/10.1177/20414196241277221</span></a><span> </span></p> <p>The presented data is based on Andersson and Pettersson (2019):</p> <p>Andersson M. and Pettersson E. (2019). Reinforced concrete beams subjected to drop-weight impact: Experimental study of the influence of reinforcement properties on the structural response. Department of Architecture and Civil Engineering. Gothenburg, Sweden: Chalmers University of Technology. Master’s Thesis ACEX30-19-27.</p> <p>---</p> <p>This dataset consists of the following records:</p> <p><strong>Part 1: General information</strong></p> <p>Andersson and Pettersson 2019 - Reinforced Concrete Beams Subjected to Drop-Weight Impact</p> <p><strong>Part 2: Series S</strong></p> <p>Static tests – COM Correlate files</p> <p><strong>Part 3: Series I10</strong></p> <p>Static tests – COM Correlate files</p> <p>Impact tests – High speed images</p> <p>Impact tests – COM Correlate files</p> <p><strong>Part 4: Series I20</strong></p> <p>Static tests – COM Correlate files</p> <p>Impact tests – High speed images</p> <p>Impact tests – COM Correlate files</p> <p><strong>Part 5: Result files</strong></p>
A Dataset of Metadata of Articles Citing Retracted Articles
<p>This dataset comprises of metada of articles citing retracted publications. Originally, we obtained the DOIs from the<a href="https://www.irit.fr/~Guillaume.Cabanac/problematic-paper-screener"> Feet of Clay Detector of the Problematic Paper Screener (PPS - FoCD)</a>. Additional columns that were not provided in PPS were added using Crossref & Retraction Watch Database (CRxRW) and Dimensions API services. This detector flags publications that cite retracted articles with additional metadata. </p> <p>By querying the Dimensions API with the DOIs of the FoC articles, we acquired information such as more detailed document types (editorial, review article, research article), open access status (we only kept open access FoC articles in the dataset since we want to access the full-texts in the future), and research fields (classified according to the Australian and New Zealand Standard Research Classification (ANZSRC) Fields of Research (FoR), comprising of 23 main fields such as biological sciences, education.</p> <p>To get further information about the cited retracted articles in the dataset, we used the joint release of CRxRW. Using this dataset, we added the retraction reasons and retraction years. </p> <p>The original dataset was obtained from the PPS FoCD in December 2023. At this time there were 22558 total articles flagged in FoCD. Using the data filtering feature in PPS, we had a preliminary selection before downloading the first version of the dataset. We applied a filter to obtain:</p> <ul> <li>non-retracted citing articles at the time of data curation*</li> <li>open-access citing articles since we need the whole text to go forward with natural language processing tasks</li> <li>cited retracted articles with at least one scientific content related reason of retraction </li> <li>only articles (not monographs, chapters) to retain a unified text type</li> </ul> <p>More information about the usage of this dataset will be updated. </p> <p>*Current retraction status of the citing articles can be different since this is a static dataset and scientific literature is dynamic. </p>
Articles on 'Plastics and Soil' from 2019 onwards
<p>Scientific articles on the topic of 'Plastics and Soil' retrieved from WoS (Clarivate) and Scopus (Elsevier) from 2019 onwards, with duplicates removed</p>
Data for device simulation in the article "Analysing the impact of the hole transport layer on the space charge distribution and hysteresis in perovskite solar cells using capacitance-voltage profiling"
<p>This repository contains the data used to perform device simulation in the article "Analysing the impact of the hole transport layer on the space charge distribution and hysteresis in perovskite solar cells using capacitance-voltage profiling", submitted in September 2024 to the journal Sustainable Energy and Fuels.</p> <p><br>The authors of this data and the article are E. Regalado-Pérez, Evelyn B. Díaz-Cruz, and J. Villanueva-Cab </p> <p><br>The scripts (.m) and input files (.csv) hosted here are based on the files created by the authors of the Driftfusion code, which can be found in the GitHub repository "barnesgroupICL/Driftfusion" at https://github.com/barnesgroupICL/Driftfusion.</p> <p> </p>
Data described in the article "Diaminocyclopentane – l-Lysine Adducts: Potent and selective inhibitors of human O-GlcNAcase"
<p>The dataset includes supplementary data: Synthesis, kinetic assays, molecular modeling, NMR spectra of the study titled "Diaminocyclopentane – l-Lysine Adducts: Potent and selective inhibitors of human O-GlcNAcase" available here: https://doi.org/10.1016/j.bioorg.2024.107452</p>
Data described in the article "Glycopolymer Inhibitors of Galectin-3 Suppress the Markers of Tissue Remodeling in Pulmonary Hypertension"
<p>The dataset includes supplementary data, i.e. experimental data, tables, and figures detailing the synthetic procedures, compound characterization, binding assays, and cell culture studies of the study titled "Glycopolymer Inhibitors of Galectin‑3 Suppress the Markers of Tissue Remodeling in Pulmonary Hypertension" available here: https://doi.org/10.1021/acs.jmedchem.4c00341</p>
Data described in the article "Nitrogen-Containing Flavonoids─Preparation and Biological Activity"
<p>The dataset includes supplementary data, i.e. the results of optimization of Ullmann reaction, cellular antioxidant and anti-inflammatory activity, cytotoxicity, antibacterial activity, and molecular docking, <sup>1</sup>H, <sup>13</sup>C{<sup>1</sup>H} NMR data, HPLC, and HRMS analyses of the study titled "Nitrogen-Containing Flavonoids─Preparation and Biological Activity" available here: <a href="https://doi.org/10.1021/acsomega.4c04627">https://doi.org/10.1021/acsomega.4c04627</a></p>
Data accompanying "HSP70 inhibits CHIP E3 ligase activity to maintain germline function in Caenorhabditis elegans" article.
<p>This work was funded by the National Science Centre, Poland (grant PRELUDIUM number 2021/41/N/NZ1/03086) (to P.T.) and by the Deutsche Forschungsgemeinschaft (DFG; German Research Foundation) under Germany’s Excellence Strategy – EXC 2030 – 390661388 and – FOR 5504 – project number 496650118 (to T.H.). M.T.P. received support by the Cologne Graduate School of Aging Research. N.A.S., A.S., K.J., and M.N. were supported by the International Institute of Molecular and Cell Biology in Warsaw.</p>
Raw data of the research article
<p>All the raw data of the research article has been give that is freely accessible to readers, reviewers and so on.</p>
SciHyp: A Fine-grained Dataset Describing Hypotheses and Their Components from Scientific Articles
<p>SciHyp is a dataset that supports researchers in understanding and identifying hypotheses in scientific literature, serving as a valuable resource across various scientific disciplines. SciHyp provides invaluable insights into the formulation and structure of hypotheses in scientific literature, making it a crucial resource for researchers in various scientific disciplines.</p> <p>This repository contains the ontology and datasets described in our paper, SciHyp: A Fine-grained Dataset Describing Hypotheses and Their Components from Scientific Articles.</p> <p>🚨 <strong>Latest Version Update</strong>: Please note that all information, data files, and SPARQL queries outlined here are based on the latest version of our paper, "SciHyp: A Fine-grained Dataset Describing Hypotheses and Their Components from Scientific Articles." This includes updates to the ontology and RDF data files available on <a href="https://gitlab.ifi.uzh.ch/DDIS-Public/scihyp/-/tree/main/data?ref_type=heads">GitLab</a>. We encourage users to refer to this most recent version to ensure compatibility and relevance in their research and analysis.</p> <p><strong>crowd.ttl</strong>: The data in this file has been curated utilizing the SciHyp pipeline, which employs a Hybrid-LLM-Crowd methodology described in the paper.</p> <p><strong>expert.ttl</strong>: Contrasting the crowd-sourced data, this file is composed of data curated through expert annotation. It reflects a more specialized and precise perspective, offering insights grounded in expert knowledge and analysis.</p> <p><strong>scihyp_VoiD.ttl</strong>: Serving as a metadata file containing a VoiD/DCAT description (Vocabulary of Interlinked Datasets/Data Catalog Vocabulary).</p> <p><strong>CrowdAlytics_7.5.owl</strong>: This file is the backbone of the dataset, outlining the underlying ontology that defines the structure and relationships within the SciHyp data.</p> <p>You can find a detailed description of the data and other resources <a href="https://gitlab.ifi.uzh.ch/DDIS-Public/scihyp/-/tree/main/data?ref_type=heads" target="_blank" rel="noopener">here</a>.</p> <p><strong>SPARQL Endpoint</strong></p> <p>For querying the current SciHyp dataset, you can use our SPARQL endpoint. This endpoint allows you to execute SPARQL queries to explore and extract data from the SciHyp dataset interactively.</p> <p>SPARQL Endpoint URL: <a href="https://crowdalytics.ifi.uzh.ch/sparql/dataset.html"><code>https://crowdalytics.ifi.uzh.ch/sparql/dataset.html</code></a></p> <p><br>Below is an example query to retrieve some annotations. </p> <p> <br><code><em> PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#></em></code><br><em><code> PREFIX ca: <http://ddis.ifi.uzh.ch/ontologies/2021/crowdalytics#></code></em><br><em><code> PREFIX disk: <http://disk-project.org/ontology/disk#></code></em><br><em><code> PREFIX xsd: <http://www.w3.org/2001/XMLSchema#></code></em><br><em><code> PREFIX sqo: <https://w3id.org/sqo#></code></em><br><br></p> <div> <div><code>SELECT DISTINCT ?hypothesis ?relation_Operator ?leftGroup ?rightGroup</code></div> <div> </div> <div><code>WHERE {</code></div> <div> </div> <div> <code>?TriggeredLineOFInquiry disk:hasLineOfInquiry ?LineOfInquiryURI .</code></div> <div><code> ?LineOfInquiryURI disk:hasHypothesisQuery ?hypothesis .</code></div> <div><code> ?LineOfInquiryURI ca:hasGroup ?groupPair .</code></div> <div><code> ?groupPair ca:hasLeftGroup ?left .</code></div> <div><code> ?left ca:hasGroupName ?leftGroup .</code></div> <div><code> ?groupPair ca:hasRightGroup ?right .</code></div> <div><code> ?right ca:hasGroupName ?rightGroup .</code></div> <div><code> ?LineOfInquiryURI ca:hasOperator ?Operator .</code></div> <div><code> ?Operator rdfs:label ?relation_Operator .</code></div> <br> <div><code> FILTER(CONTAINS(LCASE(?leftGroup), "game") || CONTAINS(LCASE(?rightGroup), "treatment"))</code></div> <div><code> FILTER(CONTAINS(LCASE(?relation_Operator), "similar") || CONTAINS(LCASE(?relation_Operator), "same"))</code></div> <div><code>}</code></div> <div><code>GROUP BY ?hypothesis ?relation_Operator ?leftGroup ?rightGroup</code></div> </div> <p> </p> <p><strong>Note:</strong> You can find more example queries <a href="https://gitlab.ifi.uzh.ch/DDIS-Public/scihyp/-/blob/main/data/example_queries.md" target="_blank" rel="noopener"><em>here</em></a>.<br> </p>
Data described in the article "New Bacterial Aryl Sulfotransferases: Effective Tools for Sulfation ofPolyphenols"
<p>Supporting Information contains additional data, Tables,and Figures on the production and biochemicalcharacterization of recombinant ASTs, on the screeningof their sulfation abilities, and structural characterizationof isolated sulfate products.</p>
The dataset of article "Early Detection of Cognitive Impairment in End-Stage Renal Disease Patients Undergoing Hemodialysis: Insights from Resting-State Functional Connectivity Analysis"
<p>This is a file as dataset of the article "Early Detection of Cognitive Impairment in End-Stage Renal Disease Patients Undergoing Hemodialysis: Insights from Resting-State Functional Connectivity Analysis".</p> <p>It includes fMRI brain imaging data of subjects included in the case group (ESRD group) and healthy control group (HC group).</p>
Dataset for article: Emerging materials and technologies for advancing bioresorbable surgical meshes
<p>The dataset contains all the data discussed in the related paper: Mechanical and biological performances of bioresorbable meshes, clinical complications associated with meshes. Separate folders include data on ideal surgical meshes (Tables), advanced manufactering technologies such as 3D and 4D printing, methods of surface modifications in jpg files. </p> <p> </p>
Dataset for article "Interplay between disorder and electronic correlations in compositionally complex alloys"
<p>Dataset for article "Interplay between disorder and electronic correlations in compositionally complex alloys", https://doi.org/10.1038/s41467-024-52349-8. Source data for figures is described by name and axes and unites are described inside each data file.</p>
Research Data for the Journal Article: Metal-free catalytic systems based on imidazolium chloride and strong bases for selective oxidative esterification of furfural to methyl furoate
Open the record for dataset details and reuse information.
Research Data for the Journal Article: Insertion of CO2 to 2-methyl furoate promoted by a cobalt hypercrosslinked polymer catalyst to obtain a monomer of CO2-based biopolyesters
Open the record for dataset details and reuse information.
Research Data for the Journal Article: Hypercrosslinked porous polymer as catalyst for efficient biodiesel production
Open the record for dataset details and reuse information.
Research Data for the Journal Article: Efficient DMF-assisted synthesis of formamides from amines using CO2 catalyzed by heterogeneous metal-free imidazolium-hypercrosslinked polymers
Open the record for dataset details and reuse information.
MAS-DNP raw data acquired for the article DOI: 10.1016/j.carbpol.2023.121475
<p>Raw data with NMR and MAS-DNP spectra in bruker standard format used in the article: "Covalent connectivity of glycogen in brewer’s spent yeast cell walls revealed by enzymatic approaches and advanced NMR" with DOI: <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.carbpol.2023.121475" target="_blank" rel="noreferrer noopener"><span><span>https://doi.org/10.1016/j.carbpol.2023.121475</span></span></a>.</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.