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769 results for “Background”
Cross cultural tears: A systematic investigation of the interpersonal effects of emotional crying across different cultural backgrounds
<p>The present project wants to examine the importance of emotional crying as an attachment behaviour and its fundamental role across a number of diverse cultures.</p> <p>Emotional tears are uniquely human and have fascinated scholars across several decades (Vingerhoets, 2013). Some researchers argue that tearful crying played a significant role in the evolution of humankind with regard to social development and solidarity (Walter, 2006). Recent years have seen an increased interest in exploring the interpersonal effects of human tears (see Gračanin, Bylsma, & Vingerhoets, 2018 for a review), with findings that emotional tears foster approach or support behavior (Gračanin, Krahmer, Rinck, & Vingerhoets, 2018) and crying individuals being evaluated as more communal (e.g., Zickfeld, van de Ven, Schubert, & Vingerhoets, 2018). These findings generally fit the hypothesis that emotional tears constitute a social act, promote social bonding and fulfill an attachment function (Nelson, 2005; Bowlby, 1982; Gračanin, Bylsma, et al., 2018; Murube, Murube, & Murube, 1999; Radcliffe-Brown, 1922; Vingerhoets, 2013). The present projects aims to answer the question whether emotional tears present a fundamental form of solidarity and bonding and whether the findings on increased attributions of warmth and higher approach intentions for tearful individuals replicate across a number of diverse contexts.</p> <p><a href="https://osf.io/fj9bd">Published in OSF: https://osf.io/fj9bd</a>.</p> <p>The OPen SCience FRamework also includes:</p> <ul> <li>Data from the pilot study: https://osf.io/txcw3/</li> <li>General information about the translation process (including the Portuguese version https://osf.io/t4cas/),</li> <li>Data management and research protocol (https://osf.io/5bh7m/),</li> <li>Approvals from ethical committees (https://osf.io/v8rqh/),</li> <li>Data and descriptive document of supplementary analyses (https://osf.io/s8ack/),</li> <li>Data and syntax (https://osf.io/x2pks/),</li> <li>Information about stimuli (https://osf.io/x2pks/) </li> </ul>
Virtually Real short film "Sonnenwende" by Timo von Gunten, versions with real and virtual backgrounds, 8min35sec, german, ProRes 1998 × 1080
<p>Two short feature films were recorded with a virtual background by using a green screen in a film studio and previously scanned 3D spaces in a virtual production environment and conventionally (in the corresponding real spaces) to compare the aesthetics and perception of these films. One scene of each film is shown in two variants (real vs. virtual background) to make a comparison.</p> <p>These 2 QuickTime files represents both the "real" and "virtual" version of the short Film "Sonnenwende" (2019) by Timo von Gunten. The real version was shot on location using real backgrounds, the virtual version was shot in the studio in front of a green-screen using virtual backgrounds that were added in post production. </p> <p>Running time: 8min35sec. This is the highest quality version available. </p> <p>Virtually Real is a research project by the Zurich University of the Arts, Institute for the Performing Arts and Film and the University of Bern, Institute of Psychology.</p>
SILC cosmic microwave background (CMB) maps R1 of Planck PR2 data
<p>Clean maps of the CMB temperature anisotropies (as measured by Planck; public data release PR2) constructed with a novel internal linear combination (ILC) algorithm using directional, scale-discretised wavelets – Scale-discretised, directional wavelet ILC or SILC.</p>
Spin-SILC cosmic microwave background (CMB) polarisation maps R1 of Planck PR2 data
<p>Clean maps of the CMB linear polarisation <em>E</em>/<em>B</em> and Stokes <em>Q</em>/<em>U</em> fields (as measured by Planck; public data release PR2). They are constructed with a novel internal linear combination (ILC) algorithm using spin, directional, scale-discretised wavelets – Spin, Scale-discretised, directional wavelet ILC or Spin-SILC.</p>
Background data: Untangling the effects of multiple human stressors and their impacts on fish assemblages in European running waters
<p>This dataset presents some backkground data from the EFI+ database. Related work addresses human stressors and their impacts on fish assemblages at pan-European scale by analysing single and multiple stressors and their interactions. Based on an extensive dataset with 3105 fish sampling sites, patterns of stressors, their combination and nature of interactions, i.e. synergistic, antagonistic and additive were investigated. </p> <p>Data were derived within the EU-project "Improvement and Spatial extension of the European Fish Index (EFI+)". EFI+, an EU FP6 research project from 2007-2009 was designed to gain new knowledge and to further develop and improve new biological assessment methods to meet needs of the Water Framework Directive (WFD). </p> <p>Background data are available for boxplots and barplots shown in the related research article in STOTEN.</p>
Data for the publication: Recombinant silk protein condensates show widely different properties depending on the sample background
<p>This entry includes raw data for the publication "Recombinant silk protein condensates show widely different properties depending on the sample background". The original publication was published in: Journal of Materials Chemistry B, DOI: 10.1039/d4tb01422g</p> <p>The folder "Videos_Micropipette_Aspiration_Zenodo.zip" contains 9 TIF files, labeled Number1 - Number9. The numbering corresponds to the numbering of IMAC condensates studied with micropipette aspiration in the publication. Each TIF file is an image stack from a time series.</p> <p>The folders "Videos_IMAC_silk_with_BG_lysate_coalescence.zip", "Videos_HT_silk_coalescence.zip", and "Videos_IMAC_silk_coalescence.zip" all contain subfolders labeled with the purification method, the framerate of the videos and then consecutive numbering. Each of these folders contains the frames of the video as single TIF files.</p> <p>Please find more information in the read_me file uploaded.</p>
Neonatal EEG Graded for Severity of Background Abnormalities
<p>The dataset consists of 169 multichannel EEG files of 1-hour in duration, recorded from 53 full-term newborns in the neonatal intensive care unit of the Cork University Maternity Hospital, Ireland. All 53 infants had received a diagnosis of hypoxic-ischaemic encephalopathy. The study to record the EEG was approved by the Cork Research Ethics Committee of the Cork Teaching Hospitals. Neonates were enrolled in the study after obtaining written and informed consent from a guardian or parent. The Cork Research Ethics Committee approved the publication of this fully-anonymised data set.</p> <p>Each 1-hour EEG was graded for severity of background abnormalities. Two experts in neonatal EEG graded each epoch independently. When grades differed between the experts, they jointly reviewed the EEG and agreed on a consensus grade. The grading system assesses EEG attributes such as amplitude and frequency, continuity, sleep--wake cycling, symmetry and synchrony, and abnormal waveforms. Four grades were used: normal or mildly abnormal (grade 1), moderately abnormal (grade 2), severely abnormal (grade 3), and inactive (grade 4). The EEG data could be used to develop automated grading algorithms or to assist in training for the review of background neonatal EEG.</p> <p>See article O'Toole <em>et al</em>., Scientific Data, 2023 <a href="https://doi.org/10.1038/s41597-023-02002-8">DOI: 10.1038/s41597-023-02002-8</a> for a complete description of the dataset.</p> <p> </p> <p> </p>
Data from Simulations of a Magnetic Shielding System to Deflect Background-Inducing Secondary Electrons away from Space-Based X-ray Detectors
<p>Data from simulations examining the effect of cosmic rays and secondary particles generated by them on background induced in an X-ray astronomy space telescope, and the effectiveness of a surrounding magnetic field at reducing this background.</p> <p>These simulations were performed for the paper “Effectiveness of a dual solenoid magnetic shield at reducing X-ray-like background in silicon-based X-ray detectors” (2023) published in the Journal of Astronomical Telescopes Instruments and Systems. The paper can also be found at https://openresearch.surrey.ac.uk/esploro/outputs/journalArticle/The-Effectiveness-of-a-Dual-Solenoid/99777566602346/filesAndLinks?forceView=true&mode=quickaccess&index=0 .</p> <p>This data was also used for the simulations and analysis described in the thesis "The Simulation, Composition and Shielding of Radiation-Induced X-ray-like Background in Space-Based X-ray Astronomy Missions" (2021), which can be found at <a href="https://doi.org/10.21954/ou.ro.00012e1f">https://doi.org/10.21954/ou.ro.00012e1f</a> .</p>
Whole-brain background-suppressed pCASL MRI with 1D-accelerated 3D RARE Stack-Of-Spirals Readout- Dataset 2
Open the record for dataset details and reuse information.
Whole-brain background-suppressed pCASL MRI with 1D-accelerated 3D RARE Stack-Of-Spirals Readout- Dataset 3
Open the record for dataset details and reuse information.
Virtually Real short film "LUX" by Wendy Pillonel, versions with real and virtual backgrounds, 7min18sec, swiss-german, ProRes 1998 × 1080
<p>Two short feature films were recorded with a virtual background by using a green screen in a film studio and previously scanned 3D spaces in a virtual production environment and conventionally (in the corresponding real spaces) to compare the aesthetics and perception of these films. One scene of each film is shown in two variants (real vs. virtual background) to make a comparison.</p> <p>These 2 QuickTime files represents both the "real" and "virtual" version of the short Film "Lux" by Wendy Pillonel. The real version was shot on location using real backgrounds, the virtual version was shot in the studio in front of a green-screen using virtual backgrounds that were added in post production. </p> <p>Running time: 7min18sec. This is the highest quality version available. </p> <p>Virtually Real is a research project by the Zurich University of the Arts, Institute for the Performing Arts and Film and the University of Bern, Institute of Psychology.</p>
Background data 'Effect of biotic dependencies in species distribution models: The future distribution of Thymallus thymallus under consideration of Allogamus auricollis'
<p>Background data of the paper 'Effect of biotic dependencies in species distribution models: The future distribution of Thymallus thymallus under consideration of Allogamus auricollis'</p>
Dataset: Assessing Background Contamination of Sample Tubes used in Human Biomonitoring by Non-targeted Liquid Chromatography–High Resolution Mass Spectrometry
<p>Data set of the Publication: </p> <div> <div>Krauss, Martin, Carolin Huber, Tobias Schulze, Martina Bartel-Steinbach, Till Weber, Marike Kolossa-Gehring, und Dominik Lermen (2024): Assessing background contamination of sample tubes used in human biomonitoring by non-targeted liquid chromatography–high resolution mass spectrometry. <em>Environment International</em> 183: 108426. <a href="https://doi.org/10.1016/j.envint.2024.108426">https://doi.org/10.1016/j.envint.2024.108426</a>.</div> </div> <p>- raw LC-HRMS data in mzML format for positive and negative mode.</p> <p>- merged MS/MS spectra of whole data set after MZMine 2.53 processing in mgf format.</p> <p> </p>
KDE Representations of the Gravitational Wave Background Free Spectra Present in the NANOGrav 15-Year Dataset
<p><i><strong>OVERVIEW</strong></i></p><p><i><strong>----------------</strong></i></p><p>This is a downloadable file of probability densities from KDEs (Kernel Density Estimator) of free spectrum analyses of the NANOGrav 15yr Dataset (DOI <a href="https://doi.org/10.5281/zenodo.7967584">10.5281/zenodo.7967584</a>) that can be used with the <a href="https://github.com/astrolamb/ceffyl">Ceffyl</a> and <a href="https://github.com/andrea-mitridate/PTArcade">PTArcade</a> packages. Please see the GitHub page for Ceffyl/PTArcade installation details and usage information.<br><br>Details on how this data product was produced can be found in <a href="https://journals.aps.org/prd/abstract/10.1103/PhysRevD.108.103019"><i>Lamb, Taylor & van Haasteren 2023 (DOI 10.1103/PhysRevD.108.103019).</i></a></p><p><i><strong>DIRECTORY AND FILE STRUCTURE</strong></i></p><p><i><strong>----------------------------------------------------</strong></i></p><p>Each directory contains a file with log-pdfs representing their corresponding free spectra (`density.npy`), the frequencies at which they were analysed (`freqs.npy`), the grid-points at which each log-pdf was computed (`log10rhogrid.npy`), frequency labels (`log10rholabels.txt`), analysis label (`pulsar_list.txt`), an array of bandwidths computed using the Sheather-Jones method (see Lamb et al. 2023; 'bandwidths.npy'), and a file with some metadata about the data (`log.txt`).</p><p>./30f_fs{cp}_ceffyl </p><ul><li>A representation of a 30 frequency CURN free spectrum.</li></ul><p>./30f_fs{hd}_ceffyl</p><ul><li>A representation of a 30 frequency HD-correlated free spectrum</li></ul><p>./30f_fs{hd+mp+dp}_ceffyl_hd-only</p><ul><li>A representation of an analysis that simultaneously modeled a HD-correlated free spectrum, a MP-correlated free spectrum, and a DP-correlated free spectrum. Only the HD component is represented here.</li></ul><p>./30f_fs{hd+mp+dp+cp}_ceffyl_hd-only</p><ul><li>A representation of an analysis that simultaneously modeled a HD-correlated free spectrum, a MP-correlated free spectrum, a DP-correlated free spectrum, and a CURN free spectrum. Only the HD component is represented here.</li></ul><p>./README</p><ul><li>this is a readme</li></ul><p><i><strong>SOFTWARE</strong></i></p><p><i><strong>------------------</strong></i></p><p>This data should ideally be used with the latest versions of:</p><ul><li><i><strong>ceffyl</strong></i> (https://github.com/astrolamb/ceffyl)</li><li><i><strong>PTArcade </strong></i>(https://github.com/andrea-mitridate/PTArcade)</li></ul><p><i><strong>PLANNED REVISIONS</strong></i></p><p><i><strong>---------------------------------</strong></i></p><p>None</p><p><i><strong>CHANGE LOG</strong></i></p><p><i><strong>----------------------</strong></i></p><p>10/12/2023 - updated KDE representations</p><p>A bug was found that produced a poor reflection at the lower prior boundary. Hence, data was being represented well at the lower prior boundary. This has now been corrected.</p>
Datasets for Background and Shading Correction of Optical Microscopy Images by BaSiC -- Downsampled Version
<p>This repository holds downsampled example data for publication: "<strong>A BaSiC tool for background and shading correction of optical microscopy images, Nature Communications (2017)</strong>" DOI: <a href="https://doi.org/10.1038/ncomms14836">https://doi.org/10.1038/ncomms14836</a>. For full-resolution testing data, please refer to Zenodo repository at DOI: <a href="https://zenodo.org/record/6334810#.YvD6zHZBxD8">10.5281/zenodo.6334810</a>.</p>
Evaluation of background ionizing radiation dose variation in Ploiesti city area, 2022
<p>Measurements of background ionizing radiation dose rate, done in Ploiesti city area in 2022 (Romania), by the student Tripac Flavius Gabriel under supervision of Prof. Dr. Adrian Iftime as part of a diploma thesis project (C.Davila University of Medicine and Pharmacy). </p> <p>A graphical overview of the values is included (ploiesti_values_2022.png). <br> </p>
Evaluation of background ionizing radiation dose variation in Bucharest city area, 2022
<p>Measurements of background ionizing radiation dose rate, done in Bucharest city area in 2022, by the student Damalan Daria Liana under supervision of prof. Adrian Iftime as part of a diploma thesis project.</p> <p>A graphical overview of the values is included (bucharest_values_2022.png).</p>
The Radius of PSR J0740+6620 from NICER with NICER Background Estimates
<p>Posterior sample files associated with the publication "The Radius of PSR J0740+6620 from NICER with NICER background estimates" by Salmi et al. (2022; <a href="https://doi.org/10.3847/1538-4357/ac983d">ApJ 941 150</a>; <a href="https://doi.org/10.48550/arXiv.2209.12840">arXiv:2209.12840 [astro-ph.HE]</a>).</p> <p>Also included are: the data products; the numeric model files including the telescope calibration products; model modules in the Python language using the X-PSI framework; and Jupyter analysis notebooks.</p> <p>Please refer to the README for detailed information.</p> <p> </p> <p> </p>
Comparing recent PTA results on the nanohertz stochastic gravitational wave background - full noise and GWB parameter comparison plots
<p>A full collection of plots comparing the noise properties of individual pulsars and gravitational wave background parameters discussed in the companion paper <em>Comparing recent PTA results on the nanohertz stochastic gravitational wave background</em> (IPTA 2024).</p> <p><code>Section4_GWB_comparison.zip</code> supplements and expands section 4.1, "Comparing the published GWB measurements," of IPTA (2024). It contains parameter difference distributions for GWB model parameters. There are four different models included. The HD correlated powerlaw (PL) model make up the basis for Figure 2. Additionally, there are three comparisons not included in IPTA (2024). First, comparisons the common uncorrelated red noise (CURN) PL model are included. Finally, comparisons of two free spectral (FS) models (HD and CURN) are included. These comparisons fit the HD and CURN FS posteriors using the <code>ceffyl</code> software package, and then compare the parameters of the resulting powerlaw fits.</p> <p><code>Section5_Noise_comparison.zip</code> supplements section 5, "Comparing Pulsar Noice Properties," of IPTA (2024). It contains plots for 27 pulsars timed by more than one PTA collaboration, including the plots for PSR J1012+5307, which are presented in Figure 7. The plots include noise parameter posteriors, time domain GP realizations, TOA residuals, and TOA radio frequency.</p>
Dataset from "More accurate gravitational wave backgrounds from cosmic strings"
<p>This file contains data tables representing gravitational wave backgrounds (GWBs) produced by Nambu-Goto cosmic strings evolved under numerical gravitational backreaction. The GWBs were produced using the methodology of "More accurate gravitational wave backgrounds from cosmic strings" [to appear], by the same authors as this dataset.</p> <p>The file is organized in three columns:</p> <ol> <li>The base-10 logarithm of the string coupling to gravity, G\mu. The range is from -8 to -22 in steps of -0.1.</li> <li>The frequency in Hz, f. The range is from 10^(-12) Hz to 10^5 Hz in multiplicative steps of 10^(0.01).</li> <li>The critical energy density fraction in gravitational waves scaled by the dimensionless Hubble constant squared, \Omega_{gw} h^2.</li> </ol>
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.