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9,152
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ShareScore release 0.9.0
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9,152 results for “Networking”
Simulation of ripple oscillations in a large interneuron network under different levels of constant external drive
<p>Example simulation to be used with code on GitHub repository: https://github.com/NatalieSchieferstein/interneuron_ripples_with_ifa.git .</p><p>Simulation data was generated using pypet (pypet.readthedocs.io/) and Brian2.</p><p>Code and simulation data are Supplement to publication: 10.1101/2023.01.30.526209 .</p><p> </p>
Data --- "Optimization of Convolutional Neural Network models for spatially coherent multi-site fire danger predictions"
<p>Data to reproduce the results of the manuscript entitled "Optimization of Convolutional Neural Network models for spatially coherent multi-site fire danger predictions" submitted to Geophysical Research Letters. The companion jupyter notebook can be found in DOI: <a href="https://doi.org/10.5281/zenodo.8387558">10.5281/zenodo.8387558</a></p>
Quality-aware Analysis and Optimisation of Virtual Network Function
<p># SPLC'22 Quality-aware Analysis and Optimisation of Virtual Network Functions</p><p> </p><p>DATA: Quality-aware Analysis and Optimisation of Virtual Network Functions</p><p> </p><p>This repository contains the models, operations and results empirically used in [Quality-aware Analysis and Optimisation of Virtual Network Functions](https://doi.org/10.1145/3546932.3547007) at SPLC 2022.</p><p>Due to copyright issues, it does not contain the tools (i.e., automated reasoners), although their official sites are provided.</p><p> </p><p>It is licensed under the [MIT license](https://github.com/danieljmg/SPLC22/blob/main/LICENSE).</p><p> </p><p> </p><p>## SPLC'22 Models, Categorical Operations and Datasets</p><p> </p><p>This data-set contains:</p><p> </p><p>1. The 5 SPL categories in CQL alongside the 11 tested operations.</p><p>2. The 5 SPL Clafer models.</p><p>3. The 5 SPL XMLs (for the AAFM Python Framework).</p><p>4. The 5 SPL XMLs (for SATIBEA).</p><p>5. The previous models are enriched with quality attributes measurements at feature and configuration levels.</p><p>6. A Microsoft Excel file with the scalability results obtained.</p><p> </p><p> </p><p>## Automated Reasoners</p><p> </p><p>- CQL IDE: https://github.com/CategoricalData/CQL</p><p>- Clafermoo: http://t3-necsis.cs.uwaterloo.ca:8092/</p><p>- AAFM Python Framework: https://pypi.org/project/famapy/</p><p>- SATIBEA: https://github.com/jmguo/SMTIBEA</p><p> </p><p> </p><p>## Requirements</p><p> </p><p>The data-set has been generated using Java JDK 18.0.2 for CQL IDE, Clafermoo, and SATIBEA, and Python 3.9.13 x86_64 for AAFM Python Framework.</p><p> </p><p>## Authors</p><p> </p><p>1. **[Daniel-Jesus Munoz](https://github.com/danieljmg)**: [ITIS Software](https://www.uma.es/institutos-uma/info/118460/instituto-de-tecnologias-e-ingenieria-del-software/), [CAOSD](http://caosd.lcc.uma.es/), Dpt. LCC, Universidad de Málaga, Andalucía Tech, Spain</p><p>2. **Mónica Pinto**: [ITIS Software](https://www.uma.es/institutos-uma/info/118460/instituto-de-tecnologias-e-ingenieria-del-software/), [CAOSD](http://caosd.lcc.uma.es/), Dpt. LCC, Universidad de Málaga, Andalucía Tech, Spain</p><p>3. **Lidia Fuentes**: [ITIS Software](https://www.uma.es/institutos-uma/info/118460/instituto-de-tecnologias-e-ingenieria-del-software/), [CAOSD](http://caosd.lcc.uma.es/), Dpt. LCC, Universidad de Málaga, Andalucía Tech, Spain</p>
The affiliation network of the Radical Open Access Collective visualised
<p>This figure depicts the affiliation network of the Radical Open Access Collective (https://radicaloa.postdigitalcultures.org/), which is an international community of scholar-led publishing initiatives. It was formed in 2015 and the data collection via web-based research took place in the period from April 2021 until April 2022. The visualisation process was developed interatively throughout a qualitatively driven mixed methods research on scholar-led publishing initiatives. As part of 23 qualitative expert interviews, network elicitation was embedded as a method of mixed methods social network analysis. Several iterations of the network map were created with the software MindManager 2020. An edited version of the network graph was published in the Journal of Scholarly Publishing (Schimmel, 2023).</p>
Theta Burst Transcranial Magnetic Stimulation of Fronto-parietal Networks: Modulation by Mental State
ClinicalTrials.gov study NCT04010461. IPD Sharing: YES. Countries: 1. Publications: 1.
In Vivo Effects of Fibrinogen Concentrate (FC) Versus Cryoprecipitate on the Neonatal Fibrin Network Structure After Cardiopulmonary Bypass (CPB)
ClinicalTrials.gov study NCT03932240. IPD Sharing: YES. Countries: 1. Publications: 1.
Implementing social network analysis to understand the socio-ecology of wildlife co-occurrence and joint interactions with humans in anthropogenic environments
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Supplementary material for: PhyloCoalSimulations: A simulator for network multispecies coalescent models, including a new extension for the inheritance of gene flow
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The cacao gene atlas: A transcriptome developmental atlas reveals highly tissue-specific and dynamically-regulated gene networks in Theobroma cacao L
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A mathematical model to predict network growth in physarum polycephalum as a function of extracellular matrix viscosity, measured by a novel viscometer
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Data from: Genuine cross-frequency coupling networks in human resting-state electrophysiological recordings
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Group composition of individual personalities alters social network structure in experimental populations of forked fungus beetles
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Data from: Urbanization alters the spatiotemporal dynamics of plant-pollinator networks in a tropical megacity
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Data from: Using network science to evaluate vulnerability of landslides on Big Sur Coast, California, USA
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Early insight into social network structure predicts climbing the social ladder
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Data from: Domain-specific neural networks improve automated bird sound recognition already with small amount of local data
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Unveiling the genetic networks: Exploring the dynamic interaction of photosynthetic phenotypes in woody plants across varied light gradients
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Data from: Gene network topology drives the mutational landscape of gene expression
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Code for: A century of wild bee sampling: historical data and neural network analysis reveal ecological traits associated with species loss
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The spread of a wild plant pathogen is driven by the road network
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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.