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ShareScore release 0.9.0
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6 results for “graphic novel”
Graphic Novel Character Networks and Statistics
<p><strong>Description.</strong> This dataset contains the character networks extracted from the graphic novel Thorgal, as well as the statistics and plots produced when analyzing these networks.</p> <p><strong>Source code. </strong>The source code used to produce these files is available on GitHub: <a href="https://github.com/CompNet/NaNet">https://github.com/CompNet/NaNet</a></p> <p><strong>Citation. </strong>If you use these data, please cite the following article:</p> <ul> <li>V. Labatut, “Complex Network Analysis of a Graphic Novel: The Case of the Bande Dessinée <em>Thorgal</em>,” Advances in Complex Systems, p. 22400033, 2022. ⟨<a href="https://hal.archives-ouvertes.fr/hal-03694768">hal-03694768</a>⟩ - DOI: <a href="http://doi.org/10.1142/S0219525922400033">10.1142/S0219525922400033</a></li> </ul> <p><br><code>@Article{Labatut2022,</code><br><code> author = {Labatut, Vincent},</code><br><code> title = {Complex Network Analysis of a Graphic Novel: The Case of the Bande Dessinée {T}horgal},</code><br><code> journal = {Advances in Complex Systems},</code><br><code> year = {2022},</code><br><code> volume = {25},</code><br><code> number = {5\&6},</code><br><code> pages = {2240003},</code><br><code> doi = {10.1142/S0219525922400033},</code><br><code>}</code></p>
Graphical abstract in Novel Media for Lipid Production of Chlorococcum oleofaciens: A RSM Approach
Graphical abstract
Data from: A novel nonparametric measure of explained variation for survival data with an easy graphical interpretation
Introduction: For survival data the coefficient of determination cannot be used to describe how good a model fits to the data. Therefore, several measures of explained variation for survival data have been proposed in recent years. Methods: We analyse an existing measure of explained variation with regard to minimisation aspects and demonstrate that these are not fulfilled for the measure. Results: In analogy to the least squares method from linear regression analysis we develop a novel measure for categorical covariates which is based only on the Kaplan-Meier estimator. Hence, the novel measure is a completely nonparametric measure with an easy graphical interpretation. For the novel measure different weighting possibilities are available and a statistical test of significance can be performed. Eventually, we apply the novel measure and further measures of explained variation to a dataset comprising persons with a histopathological papillary thyroid carcinoma. Conclusion: We propose a novel measure of explained variation with a comprehensible derivation as well as a graphical interpretation, which may be used in further analyses with survival data.
Testing the Effectiveness of a Graphic Novel Health Education Curriculum for Patients With Addiction
ClinicalTrials.gov study NCT02378181. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: A novel nonparametric measure of explained variation for survival data with an easy graphical interpretation
Open the record for dataset details and reuse information.
Graphic Novel for Patients Undergoing EUS-FNB
ClinicalTrials.gov study NCT06268106. IPD Sharing: NO. Countries: 1. Publications: 0.
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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.