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Dataset results
16 results for “information relevance”
Let's talk about COVID-19 vaccination: relevance of conversations about COVID-19 vaccination and information sources on vaccination intention in Switzerland
<p>Data to replicate the publication "Let's talk about COVID-19 vaccination: relevance of conversations about COVID-19 vaccination and information sources on vaccination intention in Switzerland?". This publication examines how public information sources and conversations about COVID-19 are associated with COVID-19 vaccination intention. Multivariable logistic regression and mediation analysis using generalized structural equation modeling were applied.</p>
Project files provided as supporting information to the manuscript "Making sense of complex systems through resolution, relevance, and mapping entropy"
<p>README file to the project files provided as supporting information to the manuscript “Making sense of complex systems through resolution, relevance, and mapping entropy”</p> <p>Feb. 25, 2022</p> <p>Authors: Roi Holtzman, Marco Giulini and Raffaello Potestio</p> <p>==================================</p> <p>The dataset contains the following files:</p> <p>- A README file with the description of the pymap program for describing how different selections of *N* out of *n* degrees of freedom (mappings) affect the amount of information retained about a full data set.<br> - The pymap.py program<br> - The pymap.yml support file<br> - The data.tar tarball with the setup data<br> - The results.tar tarball with the output data<br> ===</p>
◂Fig. 4 A molecular tree of 51 systematically representative Peridiniaceae, including all 28 accessions assignable to P. volzii. Maximum Likelihood tree (–ln = 22,017.62), as inferred from a rRNA nucleotide alignment (1,129 parsimony-informative sites) and with strain number information. Numbers on branches are ML bootstrap (above) and Bayesian support values (below) for the clusters (asterisks indicate maximal support values, values under 50 and 0.90, respectively, are not shown). Clades are indicated (abbreviations: HET, Heterocapsaceae; PPE, Protoperidiniaceae) in Morphological and molecular variability of Peridinium volzii Lemmerm. (Peridiniaceae, Dinophyceae) and its relevance for infraspecific taxonomy
◂Fig. 4 A molecular tree of 51 systematically representative Peridiniaceae, including all 28 accessions assignable to P. volzii. Maximum Likelihood tree (–ln = 22,017.62), as inferred from a rRNA nucleotide alignment (1,129 parsimony-informative sites) and with strain number information. Numbers on branches are ML bootstrap (above) and Bayesian support values (below) for the clusters (asterisks indicate maximal support values, values under 50 and 0.90, respectively, are not shown). Clades are indicated (abbreviations: HET, Heterocapsaceae; PPE, Protoperidiniaceae)
Relevance of predictive and postdictive error information in the course of motor learning.
<p>Dataset associated with the following publication:</p> <p>Maurer, LK, Joch, M, Hegele, M, Maurer, H, & Müller, H (2021). Relevance of predictive and postdictive error information in the course of motor learning. Neuroscience doi:10.1016/j.neuroscience.2021.05.007</p>
Dynamic structure of motor cortical neuron co-activity carries behaviorally relevant information
<p>(This is the dataset used in <a href="https://doi.org/10.1101/2022.05.18.492501" rel="noopener" title="Dynamic Structure Of Motor Cortical Neuron Co-Activity Carries Behaviorally Relevant Information">Dynamic Structure Of Motor Cortical Neuron Co-Activity Carries Behaviorally Relevant Information</a>, Abstract below)</p> <p><span>Skillful, voluntary movements are underpinned by computations performed by networks of interconnected neurons in the primary motor cortex (M1). Computations are reflected by patterns of co-activity between neurons. Using pairwise spike time statistics, co-activity can be summarized as a functional network (FN). Here, we show that the structure of FNs constructed from an instructed-delay reach task in non-human primates are behaviorally specific: low dimensional embedding and graph alignment scores show that FNs constructed from closer target reach directions are also closer in network space. Using short intervals across a trial we constructed temporal FNs and found that temporal FNs traverse a low-dimensional subspace in a reach-specific trajectory. Alignment scores show that FNs become separable and correspondingly decodable shortly after the instruction cue. Finally, we observe that reciprocal connections in FNs transiently decrease following the instruction cue consistent with the hypothesis that information external to the recorded population temporarily alters the structure of the network at this moment.</span></p>
Raw Counts: A protocol for low-input RNA-sequencing of patients with febrile neutropenia captures relevant immunological information
<p>Raw counts for scientific article: </p> <p><em>"A protocol for low-input RNA-sequencing of patients with febrile neutropenia captures relevant immunological information"</em></p> <p>Victoria Probst*<sup>1</sup>, Lotte Møller Smedegaard*<sup>2</sup>, Arman Simonyan<sup>1</sup>, Yuliu Guo<sup>1</sup>, Olga Østrup<sup>1</sup>, Kia Hee Schultz Dungu<sup>2</sup><sub>, </sub>Nadja Hawwa Vissing<sup>2</sup><sub>, </sub>Ulrikka Nygaard<sup>2</sup><sub> </sub>and<sub> </sub>Frederik Otzen Bagger<sup>1</sup></p> <p><sup>*Shared first authorship</sup></p> <p>Data description: </p> <p>The raw counts are from 88 samples of 22 patients with leukaemia and suspected infection sequenced by a low-input protocol (Takara SMART-seq HT) (96% succeeded) and 15 of these were also processed by the standard protocol (Truseq).</p> <p> </p> <p><sup>CLI.CSV: Raw counts of control samples processed using a low input RNA sequencing protocol. 15 samples processed by the low-input protocol. </sup></p> <p><sup>CRNA.CSV: Raw counts of control samples processed using a standard RNA sequencing protocol. 15 samples processed by the standard protocol. </sup></p> <p><sup>FEB.CSV: Raw gene counts from patients. 88 samples processed by the low input protocol. 4 samples failed sequencing.</sup></p> <p> </p> <p> </p> <p> </p>
Dynamic structure of motor cortical neuron co-activity carries behaviorally relevant information
Open the record for dataset details and reuse information.
Earlier saccades to task-relevant targets irrespective of relative gain between peripheral and foveal information
<p>Dataset from the following publication:</p> <p>Wolf, C. & Schütz, A.C. (2017). Earlier saccades to task-relevant targets irrespective of relative gain between peripheral and foveal information. <em>Journal of Vision</em>.</p> <p> </p> <p>Each folder contains the data belonging to the corresponding experiment in the manuscript. Data sheets are csv files.</p> <p>Each folder also contains a description of the columns. Every row in the data sheets corresponds to one trial.</p> <p><br> For further questions, please contact:<br> chr.wolf[at]uni-marburg.de or a.schuetz[at]uni.marburg.de</p>
Accuracy of COVID-19 relevant knowledge among youth: Number of information sources matters
<p>Dataset for manuscript: <strong>Accuracy of COVID-19 relevant knowledge among youth: Number of information sources matters </strong></p>
Online appendix to Summarization of Elicitation Conversations to Locate Requirements-Relevant Information
<p>This is the online appendix of the paper "Summarization of Elicitation Conversations to Locate Requirements-Relevant Information", published at REFSQ'23.</p> <p>The file includes the following:</p> <ul> <li>A copy of the source code (folder REConSum-main/code) - see the README file in REConSum-main for instructions on how to run this. This is an archived copy of the GitHub repository: https://github.com/RELabUU/REConSum</li> <li>The empirical results obtained by executing REConSum (subfolder REConSum-main/results) </li> <li>An example of a requirements conversation (subfolder REConSum-main/data)</li> <li>The tagging guide that was given to the people who participated in the construction of the golden standard (tagging-guide.pdf)</li> <li>The tagging results, which can be used to verify the inter-rater agreement (tagging-results.xlsx)</li> </ul>
Data from: How extreme is extreme? Demographic approaches inform the occurrence and ecological relevance of extreme events
Open the record for dataset details and reuse information.
Figure 1 from: Durkin L, Jansson T, Sanchez M, Khomich M, Ryberg M, Kristiansson E, Nilsson RH (2020) When mycologists describe new species, not all relevant information is provided (clearly enough). MycoKeys 72: 109-128. https://doi.org/10.3897/mycokeys.72.56691
Figure 1 A Data and metadata in the description of fungal species 2009–2018. The x axis depicts year and the y axis depicts proportion of studies (from 0 to 1) fulfilling a specific criterion. Dark green – proportion of studies mentioning the word "ecology" or its variations; brown – proportion of studies giving a complete account of the taxonomic affiliation of the new species (family, order, and phylum); purple – proportion of studies with a macroscopic colour photo/illustration of the new species; pink – proportion of studies with macroscopic photos, that also indicate the size of the depicted object through a scale bar or a fiducial marker; light green – proportion of studies with an identification key; yellow – proportion of openly available papers for each year as assessed in 2020 B demographical and publication trends showing the average number of co-authors (dark green), departments (brown), countries (purple), continents (pink), and number of data visualizations (light green) over time. The bars indicate the yearly standard error C the average academic age of the first (green) and last (brown) co-author over time. The bars indicate the yearly standard error D the proportion of female co-authors (green) over time plus the proportion of female lead authors (brown).
Supplementary material 2 from: Durkin L, Jansson T, Sanchez M, Khomich M, Ryberg M, Kristiansson E, Nilsson RH (2020) When mycologists describe new species, not all relevant information is provided (clearly enough). MycoKeys 72: 109-128. https://doi.org/10.3897/mycokeys.72.56691
The automatic and manual estimates for the targeted mycological papers
Supplementary material 1 from: Durkin L, Jansson T, Sanchez M, Khomich M, Ryberg M, Kristiansson E, Nilsson RH (2020) When mycologists describe new species, not all relevant information is provided (clearly enough). MycoKeys 72: 109-128. https://doi.org/10.3897/mycokeys.72.56691
Python code responsible for the PDF parsing
Effect of Structured Patient Interviews in the Preoperative Anesthesia Clinic on Recall of Relevant Information
ClinicalTrials.gov study NCT03361488. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Attentional Modulations of Alpha Power Are Sensitive to the Task-relevance of Auditory Spatial Information
<p>The topographical distribution of oscillatory power in the alpha band is known to vary depending on the current focus of spatial attention. Here, we investigated to what extend univariate and multivariate measures of post-stimulus alpha power are sensitive to the required spatial specificity of a task. To this end, we varied the perceptual load and the spatial demand in an auditory search paradigm. A centrally presented sound at the beginning of each trial indicated the to-be-localized target sound. This spatially unspecific pre-cue was followed by a sound array, containing either two (low perceptual load) or four (high perceptual load) simultaneously presented lateralized sound stimuli. In separate task blocks, participants were instructed either to report whether the target was located on the left or the right side of the sound array (low spatial demand) or to indicate the exact target location (high spatial demand). Univariate alpha lateralization magnitude was neither affected by perceptual load nor by spatial demand. However, an analysis of onset latencies revealed that alpha lateralization emerged earlier in low (vs. high) perceptual load trials as well as in low (vs. high) spatial demand trials. Finally, we trained a classifier to decode the specific target location based on the multivariate alpha power scalp topography. A comparison of decoding accuracy in the low and high spatial demand conditions suggests that the amount of spatial information present in the scalp distribution of alpha-band power increases as the task demands a higher degree of spatial specificity. Altogether, the results offer new insights into how the dynamic adaption of alpha-band oscillations in response to changing task demands is associated with post-stimulus attentional processing. </p> <p> </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.