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Title: Dataset collection from the 2015 Brainhack Proceedings      
dateReleased:
08-23-2016
privacy:
not applicable
aggregation:
instance of dataset
dateCreated:
08-18-2016
refinement:
curated
ID:
doi:10.5524/100215
availability:
available
types:
sequence
description:
Brainhack - a novel conference model for the open neuroscience research community - exploded in 2015. With three-day events in Honolulu (June), Montréal (July), and across the Americas (eight participating sites in October), a community that first began only a few years ago around the shared spirit of collaboration and an ethos of open science has taken resolute form. As Brainhack events were founded on the principle that content should emerge through the onsite interaction of participants, the innovative event structure demanded a different publication form. Inverting the model of conference proceedings, where submissions are triaged in preparation for the meeting, we developed the Brainhack Proceedings to rather mark the achievements, outputs, and ideas that emerged as the meeting's result. Post-conference papers were solicited from participants at any of the events held in 2015. All submissions were peer-reviewed in the Brainhack Proceedings Github repository using an innovative open-review process. In keeping with the culture of Brainhack, we took advantage of the open platform provided by Github to encourage a productive dialogue between authors and reviewers. This first issue of Brainhack Proceedings includes 23 project papers - presenting an overview of the broad range of interests, content, and achievements that converged at Brainhack events this past year. Here we present an archival copy of the data generated during the event, it should be noted that many of these projects are ongoing and for the most upto date versions readers are directed to the relevant GitHub repository as listed in each GigaDB dataset: 100216 : Distributed collaboration: the case for the enhancement of Brainspell’s interface 100217 : Advancing open science through NiData 100218 : Integrating the Brain Imaging Data Structure (BIDS) standard into C-PAC 100219 : Optimized implementations of voxel-wise degree centrality and local functional connectivity density mapping in AFNI 100220 : LORIS: DICOM anonymizer 100221 : Automatic extraction of academic collaborations in neuroimaging 100222 : NiftyView: a zero-footprint web application for viewing DICOM and NIfTI files 100223 : Human Connectome Project Minimal Preprocessing Pipelines to Nipype 100224 : Generating music with resting-state fMRI data 100225 : Highly comparable time-series analysis in Nitime 100226 : Nipype interfaces in CBRAIN 100227 : DueCredit: automated collection of citations for software, methods, and data 100228 : Open source low-cost device to register dog’s heart rate and tail movement 100229 : Calculating the Laterality Index Using FSL for Stroke Neuroimaging Data 100230 : Wrapping FreeSurfer 6 for use in high-performance computing environments 100231 : Facilitating big data meta-analyses for clinical neuroimaging through ENIGMA wrapper scripts 100232 : A cortical surface-based geodesic distance package for Python 100233 : Sharing data in the cloud 100234 : Detecting task-based fMRI compliance using plan abandonment techniques 100235 : Self-organization and brain function 100236 : The Neuroimaging Data Model (NIDM) API 100237 : NeuroView: a customizable browser-base utility 100238 : DIPY: Brain tissue classification
accessURL: https://doi.org/10.5524/100215
storedIn:
GigaScience Database
qualifier:
not compressed
format:
HTML
accessType:
landing page
primary:
true
authentication:
none
authorization:
none
abbreviation:
GigaDB
homePage: http://gigadb.org/
ID:
SCR:006565
name:
Giga Science Database

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