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1,819 results for “Experimental data”
MATLAB scripts and raw experimental data for the paper "Optimizing measurements of linear changes of NMR signal parameters" by Javier Agustin Romero, Krzysztof Kazimierczuk and Paweł Kasprzak
<p>Classical_fit.m - Comparison of simulation results and theoretical predictions for the linear fit of the resonance frequencies. </p> <p>Radon_transform - the same, but using Radon transform to determine linear coefficients.</p> <p>Amplitude.m - Comparison of errors of the linear coefficients for varying amplitude fit in simulations and theory.</p> <p>process_measurements.m - script to process experimental data (caffeine peak at 7.90 ppm). The data are stored in real.mat and imag.mat</p> <p>For the details of theoretical formulas, see the paper "Optimizing measurements of linear changes of NMR signal parameters" by Javier Agustin Romero, Krzysztof Kazimierczuk, and Paweł Kasprzak. The scripts were used to generate Figures in the paper.</p>
Experimental data to manuscript "Resonance-Induced Anomalies in Temperature-Dependent Raman Scattering of PdSe2"
<p>Experimental data to manuscript "Resonance-Induced Anomalies in Temperature-Dependent Raman Scattering of PdSe2"</p>
DATA for the paper SEMIGROUPS, KEIS AND GROUPS INDUCED BY KNOT DIAGRAMS: AN EXPERIMENTAL INVESTIGATION WITH AUTOMATED REASONING
<p>This upload contains supplementary materials for the paper SEMIGROUPS, KEIS AND GROUPS INDUCED BY KNOT DIAGRAMS: AN EXPERIMENTAL INVESTIGATION WITH AUTOMATED REASONING</p>
Infection success data from experimental pairings of cane toad hosts and lungworm parasites
<p>By imposing novel selection pressures on both participants, biological invasions can disrupt evolutionary "arms races" between hosts and parasites. A spatially replicated cross-infection experiment reveals strong divergence in the ability of lungworms (<em>Rhabdias pseudosphaerocephala</em>) to infect invasive cane toads (<em>Rhinella marina</em>) in Australia. In areas colonised for > 20 years, toads are more resistant to infection by local strains of parasites than by allopatric strains. The situation reverses at the invasion front, where super-infective parasites have evolved. Invasion-induced shifts in genetic diversity and selective pressures may explain why hosts win the arms race in long-colonised areas whereas parasites win the arms race at the invasion front.</p>
Data and Codes for Experimentally Validated Inverse design of Multi Property Fe-Co-Ni alloys: Data and codes release v1.0.1
<p>Data and Codes for Experimentally Validated Inverse design of Multi-Property Fe-Co-Ni alloys</p>
Experimental data for: "Experimental evaluation of the use of cruciform specimens for biaxial stability analysis"
<p>Dataset containing the raw data, in Microsoft Excel format, of a biaxial compression-compression test (C-C-3) used as representative test analysed in the manuscript "Experimental evaluation of the use of cruciform specimens for biaxial stability analysis".</p> <p>The dataset includes:</p> <ul> <li>Raw data from the biaxial testing machine (force/displacement for the 4 electromechanical actuators).</li> <li>Raw data from the strain gauge rosette placed in the biaxially-loaded region.</li> <li>Partially analyzed data, obtained using a 3D Digital Image Correlation facility and postprocessed using LaVision Davis software to obtain the strain and transversal displacement in the gauge region.</li> </ul>
Data from: An experimental paradigm for triggering a depressive syndrome
<p><span>Research investigating whether depression is an adaptation or a disorder has been hindered by the lack of an experimental paradigm that can test causal relationships. Moreover, studies attempting to induce the syndrome often fail to capture the suite of feelings, thoughts, and behaviours that characterize depression. An experimental paradigm for triggering depressive symptoms can improve our etiological understanding of the syndrome. The present study attempts to induce core symptoms of depression, particularly those related to rumination, in a healthy, non-clinical sample through a controlled social experiment. These symptoms are sad or depressed mood, anhedonia, feelings of worthlessness or guilt, and difficulty concentrating.</span><span> 134 undergraduate students were randomly assigned to either an Exclusion (EX) or Inclusion (IN) group. Participants in the Exclusion group were exposed to a modified Cyberball paradigm, designed to make them feel socially excluded, followed by a dual-interference task to </span><span>assess whether their exclusion interfered with their working memory. </span><span>Excluded participants: (1) self-reported a significant increase in sadness and decrease in happiness, but not anxiety or calmness; (2) scored significantly higher in four of five variables related to depressive rumination; and (3) performed significantly worse on a dual-interference task, suggesting an impaired ability to concentrate.</span></p>
Raw data for Figures 5-8 for journal article: "Experimental investigation of the effect of middle ear in bone conduction"
<p>This is a data set contaning the raw data for figures 5-6 from the journal article:</p> <p>"Experimental investigation of the effect of middle ear in bone conduction"</p> <p>Original article DOI: 10.1016/j.heares.2020.108041</p> <p>Original article link: https://pubmed.ncbi.nlm.nih.gov/32810722/</p> <p> </p> <p>The data is contained within MATLAB figure (.fig) files, all saved with MATLAB version R2020a.</p> <p> </p>
Photophysics of Benzoxazole and Dicyano Functionalised Diketopyrrolopyrrole Derivatives: Insights into Ultrafast Processes and the Triplet State - Experimental data
<p>Experimental data supporting the manuscript "Photophysics of Benzoxazole and Dicyano Functionalised Diketopyrrolopyrrole Derivatives: Insights into Ultrafast Processes and the Triplet State" published in ChemPhysChem (https://doi.org/10.1002/cphc.202300872). Details in the "Read me.txt"</p> <p>For more information please contact Tuhin Khan (khan [AT] imc.cas.cz)</p>
Data from: Higher-order species interactions cause time-dependent niche and fitness differences: experimental evidence in plant-feeding arthropods
<p><strong>trajectories.csv </strong>(the raw data)</p> <p><strong>id</strong>: replicate identifier<br><strong>variant</strong>: co-existence status ("competition" or "monoculture")<br><strong>day</strong>: day of experiment<br><strong>species</strong>: mite species ("CRM" or "WCM")<br><strong>n</strong>: population density</p> <p> </p> <p><strong>model.R</strong></p> <p>The R script with the GAMM fitted to the trajectory data (the GAMM model is saved as <strong>model.RData</strong>); also produces simulations from this model (saved as <strong>sim.csv</strong>).</p> <p> </p> <p><strong>model.RData</strong></p> <p>The GAMM for growth rates.</p> <p> </p> <p><strong>sim.csv</strong> (simulations from the GAMM)</p> <p><strong>day</strong>: day of experiment<br><strong>spec_var</strong>: combination of co-existence status ("competition" or "monoculture") and species ("CRM" or "WCM")<br><strong>X1:X1000</strong>: population densities simulated from the fitted GAMM (on the log scale)</p> <p> </p> <p><strong>NFD_over_time_monte_carlo_gam.py</strong></p> <p>Python script to compute niche and fitness differences. Takes <strong>sim.csv</strong> (densities over time for different instantiations) and <strong>model.RData</strong> (stores the GAMM from R for the growth rates) as input and generates the file <strong>Data_NFD_monte_carlo_multi_c.csv</strong> which stores the niche and fitness differences computed for these communities.</p> <p> </p> <p><strong>figures.R</strong></p> <p>The R script that produces Figures 2-4.</p> <p> </p> <p><strong>plot_biotic_model.py</strong></p> <p>Python code to generate the figures S3 and S4 showing the simulations of a biotic resource competition model. </p> <p> </p> <p><strong>plot_abiotic_model.py</strong></p> <p>Python code to generate the figures S1 and S2 showing simulations of an abiotic resource competition model. </p>
GPR dataset: pulsed radar and SFCW data for rebar detection (experimental data)
<p>GPR data corresponding to the article "Rebar detection: Comparison of stepped frequency continuous wave and pulsed GPR" presented in the 7th International Conference on Smart Monitoring, Assessment and Rehabilitation of Civil Structures (SMAR 2024). </p> <p><span>This work presents a comparison in rebar mapping between two GPR systems with different modulation techniques: Stepped frequency continuous wave (SFCW) and pulsed radar. The SFCW system used has a frequency range of 400-6000 MHz, while the pulsed system used a ground-coupled central frequency antenna of 2.3 GHz. Measurements were conducted on laboratory specimens, with rebar diameters ranging from 8 to 32 mm. Three different specimens were used, with one for calibration and other two to analyze both the horizontal and vertical resolutions of the frequency antennas.</span></p>
Dataset of "Denoising Image-based Experimental Data without Clean Targets based on Deep Autoencoders"
<p>Dataset of the paper "Denoising Image-based Experimental Data without Clean Targets based on Deep Autoencoders", published in Experimental Thermal and Fluid Science (<a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.expthermflusci.2024.111195" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.expthermflusci.2024.111195</a>)</p> <p>The project received funding from: the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement No 949085); the National Natural Science Foundation of China (NSFC No 12227803 and No 12372276).</p>
Experimental data associated with publication "Small-scale roughness entraps water and controls underwater adhesion"
<p>This folder contains:</p> <ol> <li>Experimental adhesion data and the JKR Fit parameters.</li> <li>Raw SFG data used to create Figure 2.</li> <li>Power spectral densities of the 4 rough diamond surfaces. </li> <li>Summary sheets containing results for dry and underwater adhesion measurements. </li> </ol>
Data for "A combined experimental and computational exploration of heteroleptic cis-Pd2L2L'2 nanocages through geometric complementarity"
<div>In the following subdirectories are the input and output of GFN2-xTB and DFT calculations for this publication:</div> <div> </div> <div>chemrxiv: <strong><em><a href="https://doi.org/10.26434/chemrxiv-2024-s0mmw">https://doi.org/10.26434/chemrxiv-2024-s0mmw</a></em></strong></div> <div> </div> <div>Published: <strong><em><a href="https://doi.org/10.1002/chem.202403336">https://doi.org/10.1002/chem.202403336</a></em></strong></div> <div> </div> <div>Code repository: <a href="https://github.com/andrewtarzia/simple_het_construction">github.com/andrewtarzia/simple_het_construction</a></div> <div>Zenodo code DOI: <a href="https://doi.org/10.5281/zenodo.13649229">10.5281/zenodo.13649229</a></div> <div> </div> <div>data directory:</div> <div> <ul> <li>a spreadsheet with all final energy values and exchange energy calculations</li> <li>CSD Survey data, NPd_survey_data_261119.csv, for Pd centres</li> </ul> </div> <div>Naming convention for file conversions:</div> <div> <ul> <li>l1: 1DBF</li> <li>l2: 1Ph</li> <li>l3: 1Th</li> <li>la: 2DBF</li> <li>lb: 2Py</li> <li>lc: 2Ph</li> <li>ld: 2Th</li> </ul> </div> <div>Structure naming convention: </div> <div> <ul> <li> <em><strong>mX</strong></em> indicates a homoleptic cage with <em><strong>X</strong></em> Pd atoms, <strong><em>cis</em></strong>/<strong><em>trans</em></strong> are the cis/trans heteroleptic cages, respectively</li> </ul> </div> <div> <p> </p> <p>structures/xtb directory:</p> </div> <div> <ul> <li>contains the structures from GFN2-xTB/ALPB(DMSO) optimisations of stk-generated structures </li> </ul> </div> <div> </div> <div>structures/opt_*METHOD*_SP_*METHOD*_06-02-2024 directories:</div> <div> <ul> <li>All DFT was run by Victor Posligua</li> <li>contains the input files (.com), output files (.log) and structure files (.xyz/.mol) of DFT optimisations and single point energy calculations with each method</li> <li>When the opt method and SP method are the same, the final structure is included in .mol and .xyz formats</li> <li>However, if opt method is different from the SP method, the final structure is not included because only a single-point energy calculation was run. </li> <li>For example, there are no .mol or .xyz files for 'opt_PBE0_SP_B3LYP_06-02-2024’ since the structure is already in 'opt_PBE0_SP_PBE0_06-02-2024’.</li> <li>you’ll find 8 different folders:<br> <ul> <li>opt_PBE0_SP_PBE0_06-02-2024</li> <li>opt_PBE0_SP_B3LYP_06-02-2024</li> <li>opt_PBE0_SP_B97D3_06-02-2024</li> <li>opt_PBE0_SP_HSE_06-02-2024</li> <li>opt_B3LYP_SP_B3LYP_06-02-2024</li> <li>opt_B97D3_SP_B97D3_06-02-2024</li> <li>opt_HSE_SP_HSE_06-02-2024</li> <li>opt_GFN2-xTB_SP_PBE0_06-02-2024</li> </ul> </li> </ul> </div>
Supporting molecular simulations data for "A combined molecular dynamics and experimental study of two-step process enabling low-temperature formation of phase-pure α-FAPbI3"
<p>Supplementary data for "A combined molecular dynamics and experimental study of two-step process enabling low-temperature formation of phase-pure α-FAPbI3: <a href="https://doi.org/10.1126/sciadv.abe3326">10.1126/sciadv.abe3326</a>"</p>
Compression-driven viscous fingering: Experimental and numerical data
<p>These data are from experiments and numerical simulations of viscous fingering in a rigid, radial, oil-filled Hele-Shaw cell driven by the compression of a connected air reservoir. The methods and data are presented in the authors' joint-submissions and their supporting information:</p> <ul> <li>L. C. Morrow, C. Cuttle, and C. W. MacMinn, Gas compression systematically delays the onset of viscous fingering, Physical Review Letters 131, 224002 (2023).</li> <li>C. Cuttle, L. C. Morrow, and C. W. MacMinn, Compression-driven viscous fingering in a radial Hele-Shaw cell, Physical Review Fluids 8, 113904 (2023).</li> </ul> <p>We here provide all raw data for 2 experimental repetitions and 5 numerical repetitions, over the full range of parameters reported.</p> <p>See README file for full details.</p> <p>VERSION 2: The pressure data are now given in the correct units of Pa. Note that the pressure data in Version 1 are identical, except for the fact that they are mistakenly given in units of PSI.</p>
Data, Figures and Codes for "Experimental analyses of pore-size dependent biomineralization in porous media under various flow rate and bacterial density scenarios"
<pre>This repository contains the data, codes and figures for the manuscript <br>"Experimental analyses of pore-size-dependent biomineralization in porous media under various flow rate and bacterial density scenarios". <br><br>Comments welcome. </pre>
Experimental data on trait-mediated interactions in temperate forests of northeastern China
<p>The study area was a 30-ha (500 600 m) permanent forest plot (43°57.928′–43°58.214′N; 127°45.287′–127°45.790′E) in Jilin Province, China. Two species, <em>Pinus koraiensis</em> and <em>Ulmus laciniata</em>, were selected as focal trees at the neighborhood scale. In 2010, all healthy adult individuals of <em>P. koraiensis </em>and<em> U. laciniata </em>were selected as focal trees, covering a wide range of DBH (diameter at breast height, 1.3m) classes (10 cm<DBH<80 cm). We obtained a dataset containing measurements for 74 trees of <em>P. koraiensis </em>and 70 trees of <em>U. laciniata</em>. There were 2,109 neighboring trees sampled for the focal trees of <em>P. koraiensis</em> and 1,400 neighboring trees were neighbors for the focal trees of <em>U. laciniata</em>. We determined soil properties and topographic features as abiotic variables influencing the interactions between trees. The 30-ha plot was divided into 20 ×20 m grid cells. Soils samples were collected from evenly distributed cells at a depth of 10 cm at the four corners of these cells. Four soil properties (soil pH, soil water content, soil organic matter content, and soil nutrients) were measured. The topographic variables, including elevation, convexity, slope steepness, and aspect were calculated for each sample cell</p>
Experimental Data for the Paper "Frequency Fitness Assignment: Optimization without a Bias for Good Solutions can be Efficient"
<p><strong><em>The data for the paper "Frequency Fitness Assignment: Optimization without a Bias for Good Solutions can be Efficient"</em></strong></p> <p>This is the data set with the experimental results for our paper "Frequency Fitness Assignment: Optimization without a Bias for Good Solutions can be Efficient." We conduct more than 56 million runs, consuming more than 6.5*10<sup>14</sup> FEs as well as 150 processor years, ensuring that our results are statistically sound and rigorous. Here, you can find all the results, all the program codes used for obtaining the results, and all the tables and figures produced from the results, and the program codes used to produce them.</p> <p><strong><em>Included Files</em></strong></p> <ul> <li><code>ffa-empirical-complexity_results.tar.xz</code> (size packed 11.7 GiB, unpacked 335.2 GiB): The complete set of log files. For each run of each experiment, one distinct text-based log file is created. The log file contains every improving step of the algorithm, the final result, and the system configuration. This archive is very large and unpacked it will occupy more than 335 GiB of hard disk space.</li> <li><code>ffa-empirical-complexity_end_of_run_results_and_stats.tar.xz</code> (size packed 861.4 MiB, unpacked 6,295.9 MiB): The end-of-run result qualities and consumed runtime as well as statistics thereof. These information have been extracted from the log files and are provided in form of semicolon-separated values text files. These files are much easier to consume. They do not reflect the progress of the single runs, but only their end results.</li> <li><code>ffa-empirical-complexity_sources.tar.xz</code> (size packed 65.5 MiB, unpacked 173.6 MiB): The complete set of <code>Java</code> sources that was used to perform the experiments. Since the random seeds of the random number generators are created in a deterministic way, you could execute this code and obtain the exactly same log files in terms of consumed FEs, improving steps, and end results as we provide in <code>ffa-empirical-complexity_results.tar.xz</code>. (Of course, your systems configuration and measured runtime in milliseconds would probably be different.)</li> <li><code>ffa-empirical-complexity_evaluator.tar.xz</code> (size packed 4,015.8 KiB, unpacked 4,510 KiB): The <code>Java</code> and <code>R</code> source codes that are used to extract the end results from the log files, compute all relevant statistics, and produce the graphics in our article.</li> <li><code>ffa-empirical-complexity_evaluation.tar.xz</code> (size packed 417.3 KiB, unpacked 590.0 KiB): The high-level conclusions produced by the evaluator from the raw data, including tables and figures.</li> <li><code>ffa-empirical-complexity_saga_ffa_on_plateau.tar.xz</code> (size packed 7,238.9 KiB, unpacked 26.8 MiB): We also conducted an additional experiment to better understand the behavior of the SAGA algorithm variants using FFA on the Plateau problem. Here we provide source codes and result log files of this experiment. The result log files are much more comprehensive, as we tried to figure out why these algortihms were able to solve the Plateau problems (and they ultimately helped us to successfully do so).</li> </ul> <p><strong><em>License</em></strong></p> <p>The copyright holder of this dataset is Prof. Dr. Thomas Weise (see <a href="#contact">Contact</a>). The dataset is licensed under the <a href="https://creativecommons.org/licenses/by/4.0/en/legalcode">Creative Commons Attribution 4.0 International License</a>.</p> <p><strong><em>Contact</em></strong></p> <p>If you have any questions or suggestions, please contact the corresponding author of this dataset, Prof. Dr. <a href="http://iao.hfuu.edu.cn/team/director">Thomas Weise</a> of the Institute of Applied Optimization (<a href="http://iao.hfuu.edu.cn/">IAO</a>) at <a href="http://www.hfuu.edu.cn/english/main.htm">Hefei University</a> [<a href="http://www.hfuu.edu.cn">合肥学院</a>] in Hefei, Anhui, China via email to <a href="mailto:tweise@hfuu.edu.cn">tweise@hfuu.edu.cn</a> with CC to <a href="mailto:tweise@ustc.edu.cn">tweise@ustc.edu.cn</a>.</p>
Data and code for the publication "Tracking microplastics across the streambed interface: Using laser-induced fluorescence to quantitatively analyze microplastic transport in an experimental flume"
<p>This archive contains datasets and codes that were used in the publication "Tracking microplastics across the streambed interface: Using laser-induced fluorescence to quantitatively analyse microplastic transport in an experimental flume".</p>
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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.