DOI: 10.5524/100215
title: Dataset collection from the 2015 Brainhack Proceedings

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.<br> 
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. <br>
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. <br>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:
<br><br>
100216 : Distributed collaboration: the case for the enhancement of Brainspells interface<br>
100217 : Advancing open science through NiData<br>
100218 : Integrating the Brain Imaging Data Structure (BIDS) standard into C-PAC<br>
100219 : Optimized implementations of voxel-wise degree centrality and local functional connectivity density mapping in AFNI<br>
100220 : LORIS: DICOM anonymizer<br>
100221 : Automatic extraction of academic collaborations in neuroimaging<br>
100222 : NiftyView: a zero-footprint web application for viewing DICOM and NIfTI files<br>
100223 : Human Connectome Project Minimal Preprocessing Pipelines to Nipype<br>
100224 : Generating music with resting-state fMRI data<br>
100225 : Highly comparable time-series analysis in Nitime<br>
100226 : Nipype interfaces in CBRAIN<br>
100227 : DueCredit: automated collection of citations for software, methods, and data<br>
100228 : Open source low-cost device to register dogs heart rate and tail movement<br>
100229 : Calculating the Laterality Index Using FSL for Stroke Neuroimaging Data<br>
100230 : Wrapping FreeSurfer 6 for use in high-performance computing environments<br>
100231 : Facilitating big data meta-analyses for clinical neuroimaging through ENIGMA wrapper scripts<br>
100232 : A cortical surface-based geodesic distance package for Python<br>
100233 : Sharing data in the cloud<br>
100234 : Detecting task-based fMRI compliance using plan abandonment techniques<br>
100235 : Self-organization and brain function<br>
100236 : The Neuroimaging Data Model (NIDM) API<br>
100237 : NeuroView: a customizable browser-base utility<br>
100238 : DIPY: Brain tissue classification<br>