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15,733 results for “article”
Raw data for the article "Enamine Synthesis via Regiocontrolled 6-endo-dig and 5-exo-dig Tethered Carboamination of Propargylic Alcohols"
<p>Raw NMR, IR and MS data for the article "Enamine Synthesis via Regiocontrolled 6-endo-dig and 5-exo-dig Tethered Carboamination of Propargylic Alcohols" published in Angewandte Chemie, DOI: </p> <p>https://doi.org/10.1002/anie.202411383 </p> <p>The number of the folders either correspond to compounds numbers in the article or the name of the folder is self-describing. All details concerning conditions and equipment for measurements can be found in the supporting information of the article. For convenience, the word file version of the supporting information can be found on the top of the raw data folder.</p>
Dataset related to article "Gradient-induced vibrations and motion-induced Lenz effects on conductive nonmagnetic orthopedic implants in MRI"
<p>Set of data reported in the tables and figures of the article entitled "Gradient-induced vibrations and motion-induced Lenz effects on conductive nonmagnetic orthopedic implants in MRI", published in Magnetic Resonance in Medicine with DOI:10.1002/mrm.30263.</p> <p><span>The results presented here have been developed in the framework of the 21NRM05 STASIS Project. The Project has received funding from the European Partnership on Metrology, co-financed from the European Union’s Horizon Europe Research and Innovation Programme and by the Participating States. </span></p>
PRISMA flowchart for Article "Nitric oxide and tuberculosis: Systematic Review and Meta-Analysis"
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Raw Data and Codes for the Article "Strain-Affected Ferroelastic Domain Walls in RbMnFe Charge-Transfer Materials undergoing collective Jahn-Teller Distortion"
<p>Dataset for the article "Strain-Affected Ferroelastic Domain Walls in RbMnFe Charge-Transfer Materials undergoing collective Jahn-Teller Distortion", containing:</p> <ul> <li>The data and the codes used to generate the figures</li> </ul>
Dataset related to article "Tumor Treating Fields enhance chemotherapy efficacy by increasing cellular drug uptake and retention in mesothelioma cells"
<p>This record contains data related to article “Tumor Treating Fields enhance chemotherapy efficacy by increasing cellular drug uptake and retention in mesothelioma cells”</p> <p><span>Tumor Treating Fields (TTFields) applied with standard chemotherapy have been approved for the first-line treatment of unresectable pleural mesothelioma (PM), an aggressive malignancy with limited effective therapy options.</span></p> <p><span>In this study, we demonstrated that the simultaneous exposure to TTFields and doxorubicin or vinorelbine enhanced treatment efficacy in patient-derived PM cells by increasing intracellular drug concentrations. This was achieved by modulating several genes that encode transport proteins, such as the downregulation of P-glycoprotein.</span></p> <p><span>Using specific, sensitive and quantitative analytical techniques, we observed a more than 70% increase in intracellular concentrations of doxorubicin and vinorelbine in samples treated with TTFields, and a greater than 50% increase in drug uptake in cells exposed to TTFields and pemetrexed. This result indicates that the increased drug concentration observed in TTFields treated cells is significant not only for drugs that are P-gp substrates but also suggests that TTFields could potentially affect other efflux pumps. However, the co-exposure to the drug and TTFields was critical to increasing intracellular drug levels, highlighting the necessity of concurrent use with drugs to enhance the antiproliferative effects of treatment.</span></p> <p><span>The <em>in vitro</em> findings were further corroborated by <em>in vivo</em> pharmacokinetic experiments in mice subcutaneously injected with epithelioid PM tumors. Indeed, a 30% increase in intratumor concentrations was observed when vinorelbine was administered with TTFields.</span></p> <p><span>Our findings suggest that TTFields could be a well-tolerated approach for enhancing intratumoral drug levels and potentially achieving a more significant therapeutic impact on PM treatment.</span></p>
Dataset for article: Potent and reversible open-channel blocker of NMDA receptor derived from dizocilpine with enhanced membrane-to-channel inhibition
<div>This version shows the correct number of n for Figure 6.</div> <div> </div>
Codes and data for the article 'Early warning signal for river-borne diseases with almost no data'
<p>Codes and data for the paper "Early warning signal for river-borne diseases with almost no data".</p> <p>This collection includes data on the prevalence of river-borne diseases and related environmental variables.<br>The codes are for extracting the tree structure of the river from the map and using the extended HMM model to predict the presence of contaminated samples in each part of the river.</p>
"Toy Data Set" referenced in the article "A deep-learning based analysis framework for ultra-high throughput screening time-series data" (https://doi.org/10.1101/2024.08.22.609110)
<p>This data set, referenced as "toy data set" in the article "A deep-learning based analysis framework for ultra-high throughput screening time-series data" (<a href="Lint-to-article">https://doi.org/10.1101/2024.08.22.609110</a>), mimics a high-throughput screening data set. To demonstrate the application of our analysis framework described in the main article this toy data set was generated. It contains in total 1536000 individual transient signals, splitted in 5 batches of each 200 plates in 1536-well plate format. Five distinct signal classes were used to resemble typical shapes encountered in biological experiments. Fequency of occurrences for each class is reported in the main article.</p>
Support data for article "The concept of optimal planning of a linearly oriented segment of the 5G network"
<p>Support data for article</p> <p>V. Kovtun, K. Grochla, E. Zaitseva, and V. Levashenko, “The concept of optimal planning of a linearly oriented segment of the 5G network,” PLOS ONE, vol. 19, no. 4. Public Library of Science (PLoS), p. e0299000, Apr. 17, 2024. doi: 10.1371/journal.pone.0299000.</p> <p>This research is part of the project No. 2022/45/P/ST7/03450 co-funded by the National Science Centre and the European Union Framework Programme for Research and Innovation Horizon 2020 under the Marie Skłodowska-Curie grant agreement No. 945339.</p>
Support data for article "Stochastic forecasting of variable small data as a basis for analyzing an early stage of a cyber epidemic"
<p>Support data for article</p> <p>V. Kovtun, K. Grochla, V. Kharchenko, M. A. Haq, and A. Semenov, “Stochastic forecasting of variable small data as a basis for analyzing an early stage of a cyber epidemic,” Scientific Reports, vol. 13, no. 1. Springer Science and Business Media LLC, Dec. 20, 2023. doi: 10.1038/s41598-023-49007-2.</p> <div> <p>This research is part of the project No. 2022/45/P/ST7/03450 co-funded by the National Science Centre and the European Union Framework Programme for Research and Innovation Horizon 2020 under the Marie Skłodowska-Curie grant agreement No. 945339.</p> </div>
Support data for article "The concept of network resource control of a 5G cluster focused on the smart city's critical infrastructure needs"
<p>Support data for article:</p> <div>V. Kovtun, K. Grochla, and K. Połys, “The concept of network resource control of a 5G cluster focused on the smart city’s critical infrastructure needs,” Alexandria Engineering Journal, vol. 94. Elsevier BV, pp. 248–256, May 2024. doi: 10.1016/j.aej.2024.03.038.</div> <p>This research is part of the project No. 2022/45/P/ST7/03450 co-funded by the National Science Centre and the European Union Framework Programme for Research and Innovation Horizon 2020 under the Marie Skłodowska-Curie grant agreement No. 945339.</p>
Reproduction Package for FM 2024 Article `Software Verification with CPAchecker 3.0: Tutorial and User Guide'
<p>This package allows you to check the claims of our FM 2024 tutorial paper<br><em>Software Verification with CPAchecker 3.0: Tutorial and User Guide</em>.</p> <p>See the <strong>README.html</strong> for more information.</p> <p>Abstract:<br><em>This tutorial provides an introduction to CPAchecker for users. CPAchecker is a flexible and configurable framework for software verification and testing. The framework provides many abstract domains, such as BDDs, explicit values, intervals, memory graphs, and predicates, and many program-analysis and model-checking algorithms, such as abstract interpretation, bounded model checking, Impact, interpolation-based model checking, k-induction, PDR, predicate abstraction, and symbolic execution. This tutorial presents basic use cases for CPAchecker in formal software verification, focusing on its main verification techniques with their strengths and weaknesses. An extended version also shows further use cases of CPAchecker for test-case generation and witness-based result validation. The envisioned readers are assumed to possess a background in automatic formal verification and program analysis, but prior knowledge of CPAchecker is not required. This tutorial and user guide is based on CPAchecker in version 3.0. This user guide’s latest version and other documentation are available at <a href="https://cpachecker.sosy-lab.org/doc.php">https://cpachecker.sosy-lab.org/doc.php</a>.</em></p> <p> </p>
Dataset for the article "Biomedical Publishing in Russia: How big is low-quality papers problem?"
<p>The dataset is used in the article "Biomedical Publishing in Russia: How big is low-quality papers problem?" submitted to the Journal of the Medical Library Association : JMLA.</p> <p><br>The dataset contains the list of Russian and international biomedical journals along with their ISSNs, and eISSNs with attached thematic categories from Web of Science and SJR. For each journal-year pair, the number of publications is calculated. The time frame of analysis is 2010-2020.</p>
Dataset supplementing journal article "Design of an FPGA-Based Controller for Fast Scanning Probe Microscopy" in Sensors 2024
<p>Dataset supplementing journal article "Design of an FPGA-Based Controller for Fast Scanning Probe Microscopy" in Sensors 2024.</p> <p>Fast imaging measurements showed in Figure 9 of the article: </p> <p>9a: Fast STM of a static Pt5 cluster on a Fe3O4(001) magnetite surface, taken at room temperature in a UHV chamber with an Omicron VT-AFM microscope at 4 frames/s; pixel resolution 100x100 pixels; image size 8x8 nm2.</p> <p>9b: Fast STM of a Pd-octaethylporphyrin monolayer on a Au(111) surface under electrolyte (phosphate buffer, pH= 7, Ar-saturated), taken with a Beetle-type EC-STM at 12 frames/s (EWE = +0.65 vs RHE, Ub = +0.4 V vs WE); pixel resolution 120x120 pixels; image size 8x8 nm2.</p> <p>9c: Fast AFM images of a Mikromasch TGX1 test grating with a 3 μm pitch and a 130 nm height, taken in contact mode with an Asylum Research/Oxford Instruments MFP-3D microscope (Mikromasch NSC36 probe - 0.6 N/m cantilever) at 4 frames/s; pixel resolution 100x100 pixels.</p>
Study data for the journal article "Mental health of individuals at increased suicide risk after hospital discharge and initial findings on the usefulness of a suicide prevention project in Central Switzerland"
<p>Anonymized raw data of our cross-sectional survey study.</p> <p>id = study participant ID; se1-se10 = questions of the General Self-Efficacy Scale; sm1-sm5 = questions of the Self-Management Self-Test; hl1-hl12 = questions of the Health Literacy Questionnaire (Swiss version); prisms = question on the utilization of the PRISM-S technique; sp1-sp4 = questions on the utilization and perceived usefulness of the personal safety plan; app1-app7 = questions on the utilization and perceived usefulness of the SERO app; ensa = question on the participation in ensa courses; sex-income = sociodemographic questions</p>
Articles included in REPO4EU's D2.1 review
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Italian articles reporting protest to Agrivoltaics in Italy from 2021 to 2023
<p>The following lists present the articles gathered for an article on Social representations of Agrivoltaics in Italy, to be published on Energy Research and Social Science thanks to the collaboration of Mauro Sarrica, Alessandra Scognamiglio and Roberto Fasanelli.</p>
Dataset for article submission 153972 in Journal F1000Research
<p>Dataset for article submission 153972 in Journal F1000Research.</p>
Dataset of the article: "The social dimension of equine welfare: social contact positively affects the emotional state of stalled horses"
<p>Here are the data used in the analyses of the manuscript "The social dimension of equine welfare: social contact positively affects the emotional state of stalled horses.".<br>Experiment 1: Observations in the individual stall<br>Experiment 2: Observations during horse grooming<br>Experiment 3: Judgement bias test</p>
Supplementary Data associated with the article "LukProt: A database of eukaryotic predicted proteins designed for investigations of animal origins"
<p>Supplementary Data associated with the article "LukProt: A database of eukaryotic predicted proteins designed for investigations of animal origins" - BUSCO example.</p> <p> </p> <p>National Science Centre of Poland is acknowledged for funding of the project 2020/36/C/NZ8/00081, "The role of glycosylation in the emergence of animal multicellularity", which enabled the creation of this dataset.</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.