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15,733 results for “article”
data set related to article Visual assessment in Down Syndrome: The relevance of early visual functions
<p>This record contains raw data related to article Visual assessment in Down Syndrome: The relevance of early visual functions</p>
data set related to article Visuo-haptic transfer for object recognition in children with periventricular leukomalacia and bilateral cerebral palsy
<p>This record contains raw data related to article Visuo-haptic transfer for object recognition in children with periventricular leukomalacia and bilateral cerebral palsy</p>
data set related to article Improving Executive Functions at School in Children With Special Needs by Educational Robotics
<p>This record contains raw data related to article Improving Executive Functions at School in Children With Special Needs by Educational Robotics</p>
data set related to article Visual assessment in Down Syndrome: The relevance of early visual functions
<p>this record contains raw data related to article Visual assessment in Down Syndrome: The relevance of early visual functions</p>
data set related to article Which linguistic measures distinguish transient from persistent language problems in Late Talkers from 2 to 4 years? A study on Italian speaking children
<p>This record contains raw data related to article Which linguistic measures distinguish transient from persistent language problems in Late Talkers from 2 to 4 years? A study on Italian speaking children</p>
Data damage zone article
<p>Data corresponding to the manuscript: Fractures in low-permeability rocks: can poroelastic effects associated with damage zones enhance their seismic visibility?</p> <p>For further details please refer to the uploaded Readme.txt file</p>
Data of the article "Efficient spin torques in antiferromagnetic CoO/Pt quantified by comparing field- and current- induced switching"
<p>Data for experimental transport measurements and analytical calculations for the article "Efficient spin torques in antiferromagnetic CoO/Pt quantified by comparing field- and current- induced switching" (https://arxiv.org/abs/2003.05923)</p> <p> </p>
Configurations and scripts to reproduce the numerical simulations of "A two-fluid model for immersed granular avalanches with dilatancy effects" article
<p>This directory contains the main data to reproduce the results presented in the article "A two-fluid model for immersed granular avalanches with dilatancy effects" by Eduard Puig Montellà, Julien Chauchat, Bruno Chareyre, Cyrille Bonamy and Tian-Jian Hsu.<br> <br> The numerical results and experimental data extracted from Pailha et ad (2008) can be found inside "NumericalData" and "ExperimentalData" folders respectively. The script "PressureVelocityPlot.py" displays the evolution of the surface particle velocity and the excess of pore pressure with time for cases ranging from loose to dense granular avalanches. </p> <p>The input files needed to reproduce a dense granular avalanche (phi=0.592) in 1D and 2D are found in the following folders: "1D_DenseCase" and "2D_DenseCase". To accelerate the simulation, the files are given after 200 seconds of sedimentation in order to reach an equilibrium state. Please read the corresponding README.txt files to launch a 1D and/or a 2D simulation. Additionally, python scripts in each configuration are provided to evaluate the evolution of the main parameters during the avalanche. </p>
Dataset of the article 'Charge accumulation kinetics in multi-redox molecular catalysts immobilised on TiO2'
<p>Data published in the article 'Charge accumulation kinetics in multi-redox molecular catalysts immobilised on TiO<sub>2</sub>', available at <a href="https://doi.org/10.1039/D0SC04344C">https://doi.org/10.1039/D0SC04344C</a>.</p> <p>Abstract: Multi-redox catalysis requires the accumulation of more than one charge carrier and is crucial for solar energy conversion into fuels and valuable chemicals. In photo(electro)chemical systems, however, the necessary accumulation of multiple, long-lived charges is challenged by recombination with their counterparts. Herein, we investigate charge accumulation in two model multi-redox molecular catalysts for proton and CO<sub>2</sub> reduction attached onto mesoporous TiO<sub>2</sub> electrodes. Transient absorption spectroscopy and spectroelectrochemical techniques have been employed to study the kinetics of photoinduced electron transfer from the TiO<sub>2</sub> to the molecular catalysts in acetonitrile, with triethanolamine as the hole scavenger. At high light intensities, we detect charge accumulation in the millisecond timescale in the form of multi-reduced species. The redox potentials of the catalysts and the capacity of TiO<sub>2</sub> to accumulate electrons play an essential role in the charge accumulation process at the molecular catalyst. Recombination of reduced species with valence band holes in TiO<sub>2</sub> is observed to be faster than microseconds, while electron transfer from multi-reduced species to the conduction band or the electrolyte occurs in the millisecond timescale. Finally, under light irradiation, we show how charge accumulation on the catalyst is regulated as a function of the applied bias and the excitation light intensity.</p>
Data for the article "An insulating doped antiferromagnet with low magnetic symmetry as a room temperature spin conduit "
<p>Data for the article "An insulating doped antiferromagnet with low magnetic symmetry as a room temperature spin conduit " (https://aip.scitation.org/doi/full/10.1063/5.0032940 and https://arxiv.org/abs/2011.09755)</p>
Dataset related to article "A reference framework for standardization and harmonization of CT Radiomics features: the "CadAIver" analysis"
<p><strong>Abstract</strong></p><p> </p><p><strong>Background</strong></p><p> </p><p>In recent years, Radiomics features (RFs) have been developed to provide quantitative, standardized information about shape, density/intensity and texture patterns on radiological images. Several studies showed limitations in the reproducibility of RFs in different acquisition settings. To date, reproducibility studies using CT images mainly rely on phantoms, due to the harness of patient exposure to X-rays. In this study we analyze the effects of CT acquisition parameters on RFs of lumbar vertebrae in a cadaveric donor.</p><p> </p><p><strong>Methods</strong></p><p> </p><p>112 unique CT acquisitions from cadaveric truck were performed on 3 different CT scanners varying KV, mA, field of view and reconstruction kernel settings. Lumbar vertebrae were segmented through a deep learning convolutional neural network and RFs were computed. The effects of each protocol on each RFs were assessed by univariate and multivariate Generalized Linear Model. Further, we compared the GLM model to the ComBat algorithm in the efficiency in harmonizing CT images.</p><p> </p><p><strong>Findings</strong></p><p> </p><p>From GLM, mA variation was not associated with alteration of RFs , whereas kV modification was associated with exponential variation of several RFs, including First Order (94.4%), GLCM (87.5%) and NGTDM (100%).</p><p>Upon cross-validation, ComBat algorithm obtained a mean R2 higher than 0.90 in 1 RFs (0.90%), whereas GLM model obtained high R2 in 21 RFs (19.6%), showing that the proposed GLM could effectively harmonize acquisitions better than ComBat.</p><p> </p><p> </p><p><strong>Interpretation</strong></p><p> </p><p>This study represents the first attempt in describing the effects of CT acquisition parameters in bone RFs in a cadaveric donor. Our analyses showed that RFs could be substantially different according to the variation of each acquisition parameter and in dataset obtained from different CT scanners. These differences can be minimized using the proposed GLM model. Publicly available dataset and GLM could foster the research of Radiomics-based studies by increasing harmonization across CT protocols and vendors.</p>
Dataset article: Disentangling sensory precision and prior expectation of change in autism during tactile discrimination
<p>Datasets of the three experiments presented in the article "Disentangling sensory precision and prior expectation of change in autism during tactile discrimination" by Sapey-Triomphe et al., 2023.</p>
Dataset related to article "Optimal Predictors of Postoperative Complications After Gastrectomy: Results from the Procalcitonin and C-reactive Protein for the Early Diagnosis of Anastomotic Leakage in Esophagogastric Surgery (PEDALES) Study"
<p>This record contains raw data related to article "Optimal Predictors of Postoperative Complications After Gastrectomy: Results from the Procalcitonin and C-reactive Protein for the Early Diagnosis of Anastomotic Leakage in Esophagogastric Surgery (PEDALES) Study"</p><p><strong>Abstract</strong></p><p><strong>Background: </strong>The aim of this study was to define whether procalcitonin (PCT) is an earlier and more accurate predictor than C-reactive protein (CRP) for anastomotic leakage (AL) and major infective complications (MICs).</p><p><strong>Methods: </strong>This was a prospective multicentric observational study conducted in three Italian centers, including all patients undergoing gastrectomy from May 2016 to April 2021. The endpoint was the assessment of the discrimination and accuracy achieved by the PCT and CRP values measured from POD1 to POD7 for predicting the occurrence of AL and MICs. Accuracy was assessed by calculating the area under the receiver operating curve (AUROC) values and Youden's statistics. Two charts were created for risk stratification during the postoperative course.</p><p><strong>Results: </strong>The rate of AL was 4.6%, with a median day of occurrence on POD5 (range 3-26). The overall rate of major infective complications was 19.9%, with a median day of occurrence on POD6 (range 2-30). PCT showed a significant association with AL on POD6 and POD7 and a significant association with MICs on POD2, while CRP values showed a significant association with AL on POD4 and a significant association with MICs on POD1. No difference in the prediction of AL was observed between PCT and CRP, while CRP was found to be a superior predictor of major infective complications on POD5 (p = 0.024) and POD7 (p = 0.035).</p><p><strong>Conclusions: </strong>PCT was not superior to CRP as an early predictor of AL and major infective complications after gastrectomy. CRP should be used as the reference screening postoperative marker.</p>
Dataset of article Different patterns for different components of thermal physiology? A preliminary analysis with five lacertid lizards
<p>The dataset is used in the manuscript "Different patterns for different components of thermal physiology? A preliminary analysis with five lacertid lizards" by authors Anamarija Žagar, Rodrigo Megía-Palma, Tatjana Simčič, Urban Dajčman, Frederico M. Barroso, Senka Baškiera, Miguel A. Carretero (submitted).</p><p>The dataset consists of measurements of individual lizards of five Lacertid species, each tagged with a unique ID. Data include location of capture, sex, and elevation. Measurements were as follows: Snout Vent Length (SVL, in millimeters), Weight (in grams), Tail length (in millimeters), Haemoglobin concentration (measured 3 times: Hb1-Hb3, and calculated mean: Hb_MEAN), Catalase (in relative units U/mg protein), Carbonyl concentration (nmole carbonyl/mg protein), Potential metabolic activity (measured at four temperature treatments: 28ºC, 30ºC, 32 ºC and 34ºC: PMA 28, 30, 32 and 34, in µLO2/mg prot/h).</p>
The dataset of article "Analysis of Uncertainties and Associated Convective Processes in Simulations of Extreme Precipitation over Cities with a Regional Earth System Model: A Case Study"
<p>The "out<i>EXP02.nc" and "out</i>EXP11.rar" are two examples of 11 simulations' output file in the article, in each of the file, 9 variables (horizontal wind u, horizontal wind v, vertical speed, height, temperature, pressure, precipitation, longitude and latitude) from outputs of simulation are included, the time interval is 2 hours.</p><p>The MERRA-2 dataset provides the initial and boundary conditions of chemical fields in simulations.</p><p>The era5 dataset provides the meteorological initial and boundary conditions in simulations.</p><p> </p>
Dataset related to article "ECoG spiking activity and signal dimension are early predictive measures of epileptogenesis in a translational mouse model of traumatic brain injury"
<p>Excel folder with raw data related to the paper 10.1016/j.nbd.2023.106251</p>
KWX: scholarly articles with keywords from arXiv
<p>A dataset based on <a href="https://www.kaggle.com/datasets/Cornell-University/arxiv">arXiv Dataset</a>, where keywords of papers are added in this dataset.</p>
Data for article: Antiferromagnetic magnon spintronic based on nonreciprocal and nondegenerated ultra-fast spin-waves in the canted antiferromagnet α-Fe2O3
Open the record for dataset details and reuse information.
Dataset related to article: Equivariant graph neural network interatomic potential for Green-Kubo thermal conductivity in phase change materials
<p>This repository contains the dataset to train and test the GeTe Machine Learning Interatomic Potential (MLIP). The computational details are given in the manuscript. </p>
Raw data for the article: Impact of body mass index on perioperative outcomes of laparoscopic major hepatectomies
<p><strong>Background: </strong>Data on the effect of body mass index on laparoscopic liver resections are conflicting. We performed this study to investigate the association between body mass index and postoperative outcomes after laparoscopic major hepatectomies.</p> <p><strong>Methods: </strong>This is a retrospective review of 4,348 laparoscopic major hepatectomies at 58 centers between 2005 and 2021, of which 3,383 met the study inclusion criteria. Concomitant major operations, vascular resections, and previous liver resections were excluded. Associations between body mass index and perioperative outcomes were analyzed using restricted cubic splines. Modeled effect sizes were visually rendered and summarized.</p> <p><strong>Results: </strong>A total of 1,810 patients (53.5%) had normal weight, whereas 1,057 (31.2%) were overweight and 392 (11.6%) were obese. One hundred and twenty-four patients (3.6%) were underweight. Most perioperative outcomes showed a linear worsening trend with increasing body mass index. There was a statistically significant increase in open conversion rate (16.3%, 10.8%, 9.2%, and 5.6%, P < .001), longer operation time (320 vs 305 vs 300 and 266 minutes, P < .001), increasing blood loss (300 vs 300 vs 295 vs 250 mL, P = .022), and higher postoperative morbidity (33.4% vs 26.3% vs 25.0% vs 25.0%, P = .009) in obese, overweight, normal weight, and underweight patients, respectively (P < .001). However, postoperative major morbidity demonstrated a "U"-shaped association with body mass index, whereby the highest major morbidity rates were observed in underweight and obese patients.</p> <p><strong>Conclusion: </strong>Laparoscopic major hepatectomy was associated with poorer outcomes with increasing body mass index for most perioperative outcome measures.</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.