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15,733 results for “article”
Repository for the Method Article "Oriented artificial nanofibers and laser induced periodic surface structures as substrates for Schwann cells alignment"
<p>Repository containg the underlaying and extended data for the paper "Oriented artificial nanofibers and laser induced periodic surface structures as substrates for Schwann cells alignment".</p>
Dataset for article: Gait Speed Assessment in the 10-meter Walk Test for Older Adults Using a Computer Vision-based System: A Cross-sectional Study on Validity, Reliability, and Usability
<p>This dataset provides the Validity, Reliability, and Usability for an assessment of gait speed detection system in the 10-meter Walk Test for Older Adults.</p> <p>The dataset is formatted for easy import into microsoft excel software consist of:<br>Supplementary1.xlsx - Validity <br>Supplementary2.xlsx - Reliability<br>Supplementary3.xlsx - Usability test</p>
Reproducibility packs for the article: Generation and decay of Higgs mode in a strongly interacting Fermi gas
<p>The supplementary material contains a reproducibility pack for results presented in the paper:</p> <p>A. Barresi, A. Boulet, G. Wlazłowski, P. Magierski,<br><em>Generation and decay of Higgs mode in a strongly interacting Fermi gas</em>,<br><a href="https://www.nature.com/articles/s41598-023-38176-9">Sci. Rep. 13, 11285 (2023)</a></p> <p>For more info see: README.txt</p>
Reproducibility pack for article: Quantum turbulence, superfluidity, non-Markovian dynamics, and wave function thermalization
<p>The supplementary material contains a reproducibility pack for results presented in the paper:</p> <p><em>Quantum turbulence, superfluidity, non-Markovian dynamics, and wave function thermalization</em><br>Aurel Bulgac, Matthew Kafker, Ibrahim Abdurrahman, and Gabriel Wlazłowski<br><a href="https://journals.aps.org/prresearch/abstract/10.1103/PhysRevResearch.6.L042003">Phys. Rev. Research 6, L042003 (2024)</a></p> <p>The packs contain full information needed to restore the numerical simulation of dynamics of 12 quantum vortices.<br>To be able to restore the results of calculations, you need to use the <a href="https://wslda.fizyka.pw.edu.pl/">W-SLDA Toolkit</a>.<br>See the documentation of the <a href="https://wslda.fizyka.pw.edu.pl/">W-SLDA Toolkit</a> to learn how to use the code and the reproducibility packs.</p>
Dataset for "Estimating the offshore wind power potential of Portugal by utilizing gray-zone atmospheric modeling" article
<p>This dataset is used for analysis and visualization, that supports the article titled "Estimating the offshore wind power potential of Portugal by utilizing gray-zone atmospheric modeling", which has been accepted for publication in the Journal of Renewable Sustainable Energy.</p>
Articles on Animal Abuse - Pakistan
<div> <div>This dataset documents media coverage of animal abuse in Pakistan as reported on the Dawn website, with articles retrieved in July 2024. Using the search keyword "animal abuse," we gathered all available articles, with the oldest article dating back to 2010. Each entry in the dataset includes the publication date, title, and URL of the article, but not the full article text, in line with copyright requirements. The dataset was manually verified to ensure that each entry was relevant to the theme of animal abuse, offering a timeline of media coverage on this issue over the years.</div> </div>
Dataset for article "Prediction of thermal shock induced cracking in multi-material ceramics using a stress-energy criterion" published in Engineering Fracture Mechanics
<p>Dataset contains graphical outputs of the numerical analysis performed using Finite element method in finite elements software Ansys Mechanical. It contains also photoes of the tested specimens. Further, material data used for the numerical analysis and measured by authors are included in the csv file and all necessary input codes for the FE system Ansys creating data for graphs in the publication are provided in the subfolder "Models-Ansys" within "Data" directory.</p> <p> </p>
Experimental and simulated data for the article "Reassessing the role and lifetime of Qx in the energy transfer dynamics of Chlorophyll a"
<p>The .zip file contains:</p> <ul> <li>Linear absorption spectra of Chl a in EtOH, acetone, and benzonitrile (BN)</li> <li>Low-temperature emission and excitation anisotropy datasets of Chl a in isopropanol</li> <li>Transient absorption (TA) datasets of Chl a in EtOH, acetone, and BN after B- and Q-band excitation (including pump spectra)</li> <li>Transient absorption anisotropy (TAA) datasets of Chl a in acetone after B-band excitation (including a pump spectrum)</li> <li>Optimized geometries for the Q-band ESA calculations</li> <li><span>Geometries for normal modes used for PES construction</span></li> </ul>
Data in support of the article "Orthogonal neural codes for speech in the infant brain"
<p>Each subject has a dedicated .zip directory containing:</p> <p>[A] the EEG data in the original .raw format (recorded and converted from .mff files with the NetStation 5.3 software);</p> <p>[B] an event file with 6 columns reporting in order:</p> <ul> <li><strong>the onset time of the events (i.e. syllables) in samples</strong></li> <li>zeros (only useful when working with MNE Python)</li> <li>event codes (useful when working with MNE Python)</li> <li><strong>the id of the event</strong><strong> (i.e. syllable: e.g. ‘bi_f’ where the last letter corresponds to speaker’s gender)</strong></li> <li>the name of the precise speech token presented, specifying its duration (in ms)</li> <li>inter-stimulus-intervals (ISI, i.e. time lag in ms from syllable offset to next onset)</li> </ul> <p><em>Additional material</em></p> <p>The .txt file contains the <em>xyz</em> coordinates of the prototype EEG net employed. Being a custom and unique net, please note that such coordinates are approximate (and not perfectly symmetrical). In order to use them it is necessary to drop the channels E125 to E128 (EOG), not employed for the experiment.</p> <p>In scripts.zip there is a demonstration of how to use the event file (with MNE Python) to construct epochs and Python codes for the decoding analyses reported in the paper.</p> <p><em>Useful to know:</em></p> <p>For the original publication, EEG data was pre-processed with a preliminary version of <a href="https://www.biorxiv.org/content/10.1101/2021.05.21.445085v1">APICE</a> (see the Methods section of the paper for more details). A more advanced version of the pre-processing pipeline is now available <a href="https://github.com/neurokidslab/eeg_preprocessing">here</a>.</p>
Raw data for the article "Synthesis of Quinolines via the Metal-Free Visible-Light-Mediated Radical Azidation of Cyclopropenes"
<p>Raw NMR, MS and IR data for the article "Synthesis of Quinolines via the Metal-Free Visible-Light-Mediated Radical Azidation of Cyclopropenes" published in Organic Letters, DOI: </p> <p>https://pubs.acs.org/doi/10.1021/acs.orglett.1c01775 </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>
Images, data, and statistical analysis scripts for review article on cover crop roots
<p>Images, data, and statistical analysis scripts for review article on cover crop roots.</p> <blockquote> <p><strong>Optimization of root traits to provide enhanced ecosystem services in agricultural systems: a focus on cover crops</strong> - [<a href="https://doi.org/10.1111/pce.14247">https://doi.org/10.1111/pce.14247</a>]</p> </blockquote> <ul> <li>Research site, planting, and growth <ul> <li>10/2020 - 04/26/2021 cover crop field trial. DDPSC FRS at Planthaven Farm, O'Fallon, MO 63366 (latitude 38.848240°, longitude -90.686640°). </li> <li>The field was tilled before sowing of cover crops. Seed for each cover crop were spread in using a push seed spreader and were lightly irrigated.</li> <li>Alfalfa (<em>Medicago sativa</em>), dundale pea (<em>Pisum sativum</em>), milkvetch (<em>Astragalus canadensis</em>, <em>Astragalus bisulcatus</em>), crimson clover (<em>Trifolium incarnatum</em>), hairy vetch (<em>Vicia villosa</em>), mustard (<em>Brassica junce</em>a var Mighty Mustard, var Kodiak), barley (<em>Hordeum vulgare</em>), wheat (<em>Triticum aestivum</em>, winter, spring), winter rye (<em>Secale cereale</em>), and triticale (× T<em>riticosecale</em> Wittmack).</li> </ul> </li> <li> <p>Field harvest measurements</p> <ul> <li> <p>Four canopy images were taken across each cover crop row using a Canon 5DS R camera. Images were taken from above each plot at 5ft height manually. Green color was thresholded from the canopy images in batch using OpenCV python script and the percent green cover calculated (Jupiter notebook).</p> </li> <li> <p>Five soil monoliths were excavated using a "shovelomics" approach with an average monolith size of 25.4cm x 25.4cm x 20 cm. The remaining four soil monoliths were destructively analyzed.</p> </li> <li> <p>One soil monolith was imaged using a Canon 50D DLSR camera in a photogrammetry shed. All photogrammetric analysis was conducted using Pix4D mapper software (Pix4D S.A. Prilly, Switzerland), and point cloud cleaning was conducted in CloudCompare V2. 10.2.</p> </li> <li> <p>Cover crop shoots from the remaining soil monoliths were cut and placed into a paper bag for dry biomass determination (60oC for 5 days). A cover crop shoot count was conducted for each monolith with each tiller considered as a shoot for the grasses (barley, wheat, triticale). After cover crop shoot harvesting, a photo was then taken of each soil monolith with remaining weed biomass. A weed score was assigned to each image by one trained researcher with a score 1 low weeds to 5 high weed presence.</p> </li> <li> <p>Soil monoliths were the soaked briefly in water and then the soil washed using a hose keeping the roots. Roots were then scanned on an Epson Expression 12000XL Photo Scanner with transparency unit. Images labeled with "_part" were samples with too many roots for scanning and so were separately weighed. Dry root biomass was taken for the scanned and unscanned roots separately. Root length was determined from images using software RhizoVision Explorer (https://doi.org/10.5281/zenodo.4095629), total root length was estimated using scanned root length and scanned dry biomass with unscanned root biomass.</p> </li> <li> <p>Along each cover crop plot a 10ft trench was dug using a Yanmar Excavator Vi020-6 perpendicular to the row with each trench fully bisecting the plot. Trench was one bucket wide (19 inches) and approximately 36 inches deep in the middle of the row. The five deepest roots that could be observed in the trench wall was measured manually with a tape measure for each cover crop. A garden trowel and shovel were used to excavate and confirm roots in trench wall.</p> </li> <li> <p>Data was analyzed using R Statistics script and raw data used for data processing and figure generation (2021PlantHavenCovercrop_dataprocessing.R). PCA analysis was conducted using the “FactoMineR” package (Husson <em>et al</em>. 2019) to explore the relationships between the traits within the dataset and clustered by family.</p> </li> </ul> </li> </ul> <p>Individual ZIP file contents:</p> <ul> <li><code><strong>2021PlantHavenCovercrop_CanopyImages.zip</strong></code> – Raw canopy images, processed percent green cover images, and Jupiter notebook python script (2021PlantHavenCovercrop_ImageBatchColorThreshold.ipynb).</li> <li><code><strong>2021PlantHavenCovercrop_RootFlatbedImages.zip</strong></code> – Raw flatbed root scans of cover crops and processed images using RhizoVision Explorer.</li> <li><code><strong>2021PlantHavenCovercrop_SoilMonolithWeedImages.zip</strong></code> – Images of soil monoliths after cover crop shoot biomass was removed.</li> <li><code><strong>2021PlantHavenCovercrop_dataprocessing.zip</strong></code> – R Statistics script and raw data used for data processing and figure generation (2021PlantHavenCovercrop_dataprocessing.R).</li> <li><code><strong>2021PlantHavenCovercrop_ShootPhotogrammetry.zip</strong></code> – 3D models of cover crop shoots from excavated soil monoliths. The .bin files can be opened using CloudCompare app.</li> </ul> <p> </p> <p> </p>
Data set for the article "Recently photoassimilated Carbon and fungus-delivered Nitrogen are spatially correlated at the cellular scale in the ectomycorrhizal tissue of Fagus sylvatica"
<p>This dataset contains data that support the manuscript</p> <p>Mayerhofer et al (2021) "Recently photoassimilated Carbon and fungus-delivered Nitrogen are spatially correlated at the cellular scale in the ectomycorrhizal tissue of<em> Fagus sylvatica", </em>The New Phytologist, DOI:10.1111/nph.17591</p> <p>It contains the following data:</p> <p>(1) NanoSIMS imaging data, which was used for Fig. 4-7, is provided in NanoSIMS_control_root_tip.zip and NanoSIMS_labelled_root_tip.zip. Each zip-files contains:</p> <ul> <li>the original NanoSIMS images (.im)</li> <li>their related checkfiles (.chk_im)</li> <li>ROIs description (.rois.zip)</li> </ul> <p>of the unlabelled control and the labelled root tip section, respectively. ".im" and ".chk_im" are the original image data aquisition files from the NanoSIMS instrument. "rois.zip" files describe selected regions of interests and were created utilizing the OpenMIMS plugin (Center for Nano Imaging, https://nano.bwh.harvard.edu/MIMSsoftware) for the image analysis software ImageJ (National Institutes of Health, Bethesda, MD, USA).</p> <p>(2) Means and standard deviations of all measured elements and isotopes of each region of interest, as obtained via the .rois.zip files from the NanoSIMS images, are reported in NanoSIMS_ROI_data.csv (used for Fig.7).</p> <p>(3) Linescan_data.csv contains data used for Fig. 8.</p> <p>(4) IRMS_roots_data.csv contains data of root segments and mycorrhizal root tips analysed with isotope-ratio mass spectrometry (EA-IRMS) (used for Fig. 2)</p> <p>Description of column meanings from csv data files can be found in the according "_description" files.</p>
Data and GrADS scripts needed to reproduce the figures in the article "Probabilistic forecasts of near-term climate change: verification for temperature and precipitation changes from years 1971-2000 to 2011-2020"
<p>Data and GrADS scripts needed to reproduce the figures in the article "Probabilistic forecasts of near-term climate change: verification for temperature and precipitation changes from years 1971-2000 to 2011-2020", submitted for publication in Climate Dynamics.</p> <p>Please see the file README for further details.</p> <p> </p>
Data and simulations files for the article "Accurate modeling and characterization of photothermal forces in optomechanics"
<p>Data and simulations files for the article "Accurate modeling and characterization of photothermal forces in optomechanics".</p>
Table 1: Publications found in the Scopus and Web of Science database from 2000 to 2019 (excluding duplicate articles) on the topic of biorefineries.
<p>Table referring to the study of systematic literature review on the social impact of small and medium-sized biorefineries.</p>
Dataset for the article 'Reflecting on the quantitative turn in linguistics' (Linguistics 59.5)
<p>The TSV-file contains the data underlying the quantitative analysis presented in the article entitled 'Reflecting on the quantitative turn in linguistics' by Bernd Kortmann, published in Linguistics 59.5; see the article for details.</p>
Dataset for article Development of Vancomycin Delivery Systems Based on Autologous 3D Platelet-Rich Fibrin Matrices for Bone Tissue Engineering
<p>This is a dataset related to the article "Development of Vancomycin Delivery Systems Based on Autologous 3D Platelet-Rich Fibrin Matrices for Bone Tissue Engineering". Dubnika, A.; Egle, K.; Skrinda-Melne, M.; Skadins, I.; Rajadas, J.; Salma, I.</p> <p> </p>
Raw data for the article "Cu(I)-Catalyzed gem-Aminoalkynylation of Diazo Compounds: Synthesis of Fluorinated Propargylic Amines"
<p>Raw NMR, MS and IR data for the article "Cu(I)-Catalyzed gem-Aminoalkynylation of Diazo Compounds: Synthesis of Fluorinated Propargylic Amines" published in the Journal of Organic Chemistry, DOI: </p> <p> <a href="https://doi.org/10.1021/acs.joc.1c01423">https://doi.org/10.1021/acs.joc.1c01423</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>
Dataset for article 'Reflecting on the quantitative turn in linguistics' (Linguistics 59.5)
<p>Dataset for article 'Reflecting on the quantitative turn in linguistics', published in Linguistics 59.5. 380 articles from the journal 'English Language and Linguistics' are classified for the variables 'Year', 'Issue', 'Issue_Type', 'Author', 'Type', 'Quant '. See the article for details.</p>
Articles by Alfred Lansburgh in "Die Bank" (1908-1935)
<p>All 714 articles written by Alfred Lansburgh in his journal "Die Bank" between 1908 and 1935 as txt files.</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.