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3,481 results for “data set”
Data set: Infrared spectra of HCN and HCN:H2O from 40-140 K
<p>IR spectra of pure HCN and mixed H2O:HCN (~15:1) ice in temperature intervals of 10K from 40-140 K.</p> <p>Spectra are saved as individual files, where the first column is wavenumber (cm^-1) and the second column is IR absorbance. No baseline subtraction has been performed.</p>
data set for ariyoshi2022jgr
<p>1. This is the source code and simulation results of Ariyoshi (2022 JGR).<br> Date: June 11th 2022</p> <p>2. source and model of Ariyoshi (2022 JGR) </p> <p>3. version: 69cses4 </p> <p>69cses4: source code (*.f, *.mk)<br> Note that the source code is customized to the Earth Simulator of JAMSTEC which needs special libraries for the FFT operations.<br> Methodology is described in Ariyoshi et al. (2012) </p> <p>Ariyoshi, et al.(2012). Migration process of very low-frequency events based on a chain-reaction model and its application to the detection of preseismic slip for megathrust earthquakes. Earth Planets Space, 64(8), 693-702. https://doi.org/10.5047/eps.2010.09.003</p> <p><br> 4. common: green's function file (*.grn) and input model (simu3dscalar.dat)</p> <p>5. model:<br> 71s02r110dd200a230b215L199ob : model A<br> 7is02r110dd200a230b100L199ob : model B<br> 7is02r110dd200a230b215L199ob : model C<br> 7ih02r110dd200a230b100L199ob : model D</p> <p>*.ctl : control file<br> *.o?? : input file<br> *.ini : initial condition file<br> *_hg028.dat & *_v_vel.dat : datafile of Figure 5</p> <p>6. Please use refer Ariyoshi (2022 JGR) if you use this code with any modifications.</p>
Excel data set for meta-analysis
<p>Data set for Effectiveness of cognitive behavioural therapy-based interventions for maternal perinatal depression: a systematic review and meta-analysis</p>
Data Set of Publication on Accurate Performance Predictions with Component-based Models of Data Streaming Applications
<p>This is the data set for the article "Accurate Performance Predictions with Component-based Models of Data Streaming Applications" by Dominik Werle, Stephan Seifermann and Anne Koziolek which appears in the proceedings of the 16th European Conference on Software Architecture (ECSA).</p> <p>The data set contains measurements of the evaluation system, models of the system, simulation results, derived analysis results and code for running the simulation.</p> <p>This work was supported by KASTEL Security Research Labs and by the German Research Foundation (DFG) under project number 432576552, HE8596/1-1 (FluidTrust).</p>
Data set - The design and evaluation of an integrated training load and injury/illness surveillance system in competitive swimming.
<p>Dataset for paper as per title above. </p>
Data Set (Song et al., Scalable pillar[5]arene-integrated poly(arylate-amide) molecular sieve membranes to separate light gases. Chem. Mater. 2022)
<p>Data Set for the following publication.</p> <p>Song et al., Scalable pillar[5]arene-integrated poly(arylate-amide) molecular sieve membranes to separate light gases. Chem. Mater. 2022.</p>
Casanovo data set and model weights
<p>Benchmark multi-species data set with pre-processing and the pre-trained model weights used to generate results in "<em>De Novo</em> Mass Spectrometry Peptide Sequencing with a Transformer Model"</p> <p>Source code is available <a href="https://github.com/Noble-Lab/casanovo">here</a>.</p>
Core outcome set for burn care research: Delphi survey data
<p><strong>Background:</strong> Collated evidence from systematic reviews supports clinicians in identifying optimal treatment for patients. Evidence is created from outcomes that, in burn care, include survival, function, cosmesis, pain, and psychological well-being. Currently, this is limited because of variation in outcomes reported across trials. Improved selection and reporting of outcomes in primary research in burn care could improve treatment globally by improving data synthesis and the quality of evidence. The availability of a Core Outcome Set (COS), a minimum set of the most important outcomes to be reported in all trials of a medical condition, would resolve this issue. The aim of this study is to develop a COS for international burn care research.</p> <p><strong>Methods and findings</strong>: Candidate outcomes were identified from systematic reviews and stakeholder interviews. Through two rounds of a Delphi survey, international multi-disciplinary clinicians, researchers, and UK patients and carers prioritised the outcomes. Anonymised feedback aimed to achieve consensus. Pre-defined criteria for retaining and dropping outcomes were agreed upon. A consensus meeting with voting was held to finalise the COS.</p> <p>Examination of all data sources identified 1,021 unique outcomes grouped into 88 candidate outcomes. Stakeholders included 668 health professionals from 77 countries and 126 UK patients/carers; 25% of clinical participants were from low- or low-middle-income countries. After Round 1, one outcome was discarded, and 13 new outcomes were added. After Round 2, 69 items were discarded, leaving 31 outcomes for the consensus meeting.<em> </em>Discussion and voting agreed on seven core outcomes: death, specified complications, ability to do daily tasks, time to wound healing, neuropathic pain and itch, psychological well-being, and time to return to school/work.</p> <p><strong>Conclusions</strong>: This is the first COS for international burn care research. Implementation is now needed to improve data synthesis, and support evidence-based clinical decision-making in global burn care. It is recommended that future trials include measures of these seven outcomes.</p>
Complete NMR data set for Quinidine, Nicotine and m-Xylene
<p>NMR Data set for Quinidine, Nicotine and m-Xylene at 500 MHz, 80MHz and 43 MHz</p>
Data set "Narrow, fast, and "cool" mantle plumes caused by strain-weakening rheology in Earth's lower mantle" (G-cubed)
<p>This archive contains data related to the manuscript “Narrow, fast, and “cool” mantle plumes caused by strain-weakening rheology in Earth’s lower mantle” by Gülcher et al., (G-cubed). It contains output quantities and selected fields for the numerical models shown and discussed in the paper (M###). Moreover, it contains the input parametric files implemented in StagYY. Please read the README.dat file for more information. </p>
Experimental data set for hydraulic fracture interactions with discontinuities study
<p>Experimental data included in hydraulic fracture interaction with discontinuities study. The original images in high resolution and the pressure and cumulative acoustic emission activities recordings. </p>
Microsatellite data set
<p>Microsatellite data set for article RADICAL TEMPORAL SHIFT IN THE GENETIC COMPOSITION OF NEW ENGLAND CHICORY POPULATIONS published in Journal of Ecology.</p>
Theoretical Design of Optimal Molecular Qudits for Quantum Error Correction. Open data set
<p>Data supporting the original figures 1, 2, 3 and 4 of the related publication.</p>
Data Set - Synchronization of Ear-EEG and Audio Streams in a Portable Research Hearing Device
<p>This folder contains the raw data for all three timing test scenarios and the data used to compare openMHA and LabRecorder recordings to reproduce the plots in the manuscript: <br> "Synchronization of Ear-EEG and Audio Streams in a Portable Research Hearing Device"<br> Steffen Dasenbrock, Sarah Blum, Paul Maanen, Stefan Debener, Volker Hohmann, and Hendrik Kayser<br> For further information, see readme.md. </p>
Data set for: Effects of microstructure evolution on compressive strength of silica sand-enhanced oil well cement at a wide temperature range
<p><span>The influence of microstructure of silica-enhanced cement on the mechanical performance of cement is difficult to be described. In this study, we used the scanning electron microscope and image processing method to investigate the relationship between the complicity of cement microstructure and compressive strength under various temperature and curing time conditions. Fractal dimension was applied to describe the complicity of cement. The relationships among compressive strength, fractal dimension, temperature, curing time and pore structure of cement were identified. The results show that curing time of cement directly control the complicity of cement microstructure and compressive strength by altering the pore orientation and macropore ratio in cement. The curing temperature affects the complicity of cement microstructure and compressive strength indirectly by changing the ratio of micropore and small pore. The fractal dimension of silica-enhanced cement shows good correlation with compressive strength. Pore size distribution is the most important factor that influence the complicity of cement matrix and compressive strength of silica-enhanced cement. When building up the macroscopic mechanical performance model of cement, we should consider the influence of pore size distribution in cement under different curing temperatures and times on the complicity of cement microstructure. </span></p>
Generating Optimal Robust Continuous Piecewise Linear Regression with Outliers Through Combinatorial Benders Decomposition - Data Sets
<p>Data Sets for the Paper: "Generating Optimal Robust Continuous Piecewise Linear Regression with Outliers Through Combinatorial Benders Decomposition".</p>
Data sheets - Compliance SSI SystemProperty Set to Laws, Regulations, and Technical Standards
<p>Data sheets generated as a result of the development of the proposed property set. These data are an addendum to a journal article submitted.</p>
Data sets for "Superionic water with stiffness between molecular ice and liquid"
<p>This is the source data shown in Figs. 1, 3A, and Figs. S2, S3, S4, S5, S6, S7, and S12 for the article "Superionic water with stiffness between molecular ice and liquid" by Kimura and Murakami.</p>
Data sets for "Superionic water with stiffness between molecular ice and liquid"
<p>This is the source data shown in Figs. 1, 3A, and Figs. S2, S3, S4, S5, S6, S7, and S12 for the article "Superionic water with stiffness between molecular ice and liquid" by Kimura and Murakami.</p>
Data Set for Sandanbata et al. (2022: JGR-Solid Earth) entitled "Sub-decadal Volcanic Tsunamis Due to Submarine Trapdoor Faulting at Sumisu Caldera in the Izu-Bonin Arc"
<p><strong>Descriptions</strong></p> <p>This dataset contains supplementary materials for the following research article:</p> <ul> <li>Sandanbata, O., Watada, S., Satake, K., Kanamori, H., Rivera, L., & Zhan, Z. (2022). Sub-decadal volcanic tsunamis due to submarine trapdoor faulting at Sumisu caldera in the Izu–Bonin Arc. <em>Journal of Geophysical Research: Solid Earth</em>, 127, e2022JB024213. <a href="https://doi.org/10.1029/2022JB024213">https://doi.org/10.1029/2022JB024213</a></li> </ul> <p>We construct earthquake source models for the 2015 earthquake at Sumisu caldera in the Izu-Bonin Arc. Four source models, presented in Figures 4a, S8a, S9a, and S14a, are contained in this dataset. </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.