Blackfynn Discover
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Blackfynn Discover is a public resource for accessing large public Neuroscience datasets. Blackfynn Discover was developed through grants from the NIH NIDA, NIH CommonFund, DARPA, and others to provide a sustainable solution for fostering collaboration in the Neurosciences.
Description
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Blackfynn Discover is a public resource for accessing large public Neuroscience datasets. Blackfynn Discover was developed through grants from the NIH NIDA, NIH CommonFund, DARPA, and others to provide a sustainable solution for fostering collaboration in the Neurosciences.
metasource: Fairsharing.orgversion: FAIRsharing.org: Blackfynn Discover; Blackfynn Discover; DOI: https://doi.org/10.25504/FAIRsharing.PD1PEt; Last edited: Dec. 19, 2019, 11:06 a.m.; Last accessed: Jan 03 2022 7:05 p.m.
Blackfynn Discover is a repository for Neurology and Neuroscience datasets. This repository, funded by DARPA, the NIH, and others, provides a user-friendly solution for publishing large, complex datasets is a scalable and sustainable way. The platform aims to make data available in a meaningful way and to drive adoption of cloud-based analysis over large datasets.
metasource: re3data.orgversion: re3data.org: Blackfynn Discover; editing status 2021-06-15; re3data.org - Registry of Research Data Repositories. http://doi.org/10.17616/R31NJMN0 last accessed: 2022-11-04
Webpage:
https://discover.blackfynn.comWebpage
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https://discover.blackfynn.com
metasource: Fairsharing.orgversion: FAIRsharing.org: Blackfynn Discover; Blackfynn Discover; DOI: https://doi.org/10.25504/FAIRsharing.PD1PEt; Last edited: Dec. 19, 2019, 11:06 a.m.; Last accessed: Jan 03 2022 7:05 p.m.
metasource: re3data.org
version: re3data.org: Blackfynn Discover; editing status 2021-06-15; re3data.org - Registry of Research Data Repositories. http://doi.org/10.17616/R31NJMN0 last accessed: 2022-11-04
Licence:
Name: Community Data License Agreement - Permissive, Version 1.0 (CDLA-Permissive-1.0)Licence name
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Community Data License Agreement - Permissive, Version 1.0 (CDLA-Permissive-1.0)
metasource: Fairsharing.orgversion: FAIRsharing.org: Blackfynn Discover; Blackfynn Discover; DOI: https://doi.org/10.25504/FAIRsharing.PD1PEt; Last edited: Dec. 19, 2019, 11:06 a.m.; Last accessed: Jan 03 2022 7:05 p.m.
other
metasource: re3data.orgversion: re3data.org: Blackfynn Discover; editing status 2021-06-15; re3data.org - Registry of Research Data Repositories. http://doi.org/10.17616/R31NJMN0 last accessed: 2022-11-04
Licence URL
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https://cdla.io/permissive-1-0/
metasource: Fairsharing.orgversion: FAIRsharing.org: Blackfynn Discover; Blackfynn Discover; DOI: https://doi.org/10.25504/FAIRsharing.PD1PEt; Last edited: Dec. 19, 2019, 11:06 a.m.; Last accessed: Jan 03 2022 7:05 p.m.
https://help.blackfynn.com/en/articles/3044442-common-dataset-licenses
metasource: re3data.orgversion: re3data.org: Blackfynn Discover; editing status 2021-06-15; re3data.org - Registry of Research Data Repositories. http://doi.org/10.17616/R31NJMN0 last accessed: 2022-11-04
Publications:
Publications
More detailed information about this field from each metasource.
Collaborating and sharing data in epilepsy research
PMID: 26035676
metasource: Fairsharing.org
version: FAIRsharing.org: Blackfynn Discover; Blackfynn Discover; DOI: https://doi.org/10.25504/FAIRsharing.PD1PEt; Last edited: Dec. 19, 2019, 11:06 a.m.; Last accessed: Jan 03 2022 7:05 p.m.
Data integration: Combined imaging and electrophysiology data in the cloud
PMID: 26044858
metasource: Fairsharing.org
version: FAIRsharing.org: Blackfynn Discover; Blackfynn Discover; DOI: https://doi.org/10.25504/FAIRsharing.PD1PEt; Last edited: Dec. 19, 2019, 11:06 a.m.; Last accessed: Jan 03 2022 7:05 p.m.
Publications
More detailed information about this field from each metasource.
Collaborating and sharing data in epilepsy research
PMID: 26035676
metasource: Fairsharing.org
version: FAIRsharing.org: Blackfynn Discover; Blackfynn Discover; DOI: https://doi.org/10.25504/FAIRsharing.PD1PEt; Last edited: Dec. 19, 2019, 11:06 a.m.; Last accessed: Jan 03 2022 7:05 p.m.
Data integration: Combined imaging and electrophysiology data in the cloud
PMID: 26044858
metasource: Fairsharing.org
version: FAIRsharing.org: Blackfynn Discover; Blackfynn Discover; DOI: https://doi.org/10.25504/FAIRsharing.PD1PEt; Last edited: Dec. 19, 2019, 11:06 a.m.; Last accessed: Jan 03 2022 7:05 p.m.
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Collaborating and sharing data in epilepsy research
PubMed citations: 23.
23 articles citing: Collaborating and sharing data in epilepsy research
Seizure classification with selected frequency bands and EEG montages: a Natural Language Processing approach. PMID:35622175
Neurophysiological Evidence for Cognitive Map Formation during Sequence Learning. PMID:35105662
Closed-Loop Neural Prostheses With On-Chip Intelligence: A Review and a Low-Latency Machine Learning Model for Brain State Detection. PMID:34529573
Forecasting Seizure Likelihood With Wearable Technology. PMID:34335457
The SPARC DRC: Building a Resource for the Autonomic Nervous System Community. PMID:34248680
Prediction of Seizure Recurrence. A Note of Caution. PMID:34054713
A taxonomy of seizure dynamotypes. PMID:32691734
[Mobile seizure monitoring in epilepsy patients]. PMID:31673723
Scientist and data architect collaborate to curate and archive an inner ear electrophysiology data collection. PMID:31626635
Virtual resection predicts surgical outcome for drug-resistant epilepsy. PMID:31599323
Big data in status epilepticus. PMID:31444029
Noise-Assisted Multivariate EMD-Based Mean-Phase Coherence Analysis to Evaluate Phase-Synchrony Dynamics in Epilepsy Patients. PMID:30452374
EMD-Based, Mean-Phase Coherence Analysis to Assess Instantaneous Phase-Synchrony Dynamics in Epilepsy Patients. PMID:30440892
Seizure pathways: A model-based investigation. PMID:30307937
Characteristics of large patient-reported outcomes: Where can one million seizures get us? PMID:30187007
High-Frequency Oscillations in the Scalp Electroencephalogram: Mission Impossible without Computational Intelligence. PMID:30158959
Big data sharing and analysis to advance research in post-traumatic epilepsy. PMID:29864492
Standards for data acquisition and software-based analysis of in vivo electroencephalography recordings from animals. A TASK1-WG5 report of the AES/ILAE Translational Task Force of the ILAE. PMID:29105070
Crowdsourcing seizure detection: algorithm development and validation on human implanted device recordings. PMID:28459961
Effect of sampling rate and filter settings on High Frequency Oscillation detections. PMID:27472539
THE INTRINSIC VALUE OF HFO FEATURES AS A BIOMARKER OF EPILEPTIC ACTIVITY. PMID:27453693
Universal automated high frequency oscillation detector for real-time, long term EEG. PMID:26238856
Seizure Prediction 6: [LINE SEPARATOR]From Mechanisms to Engineered Interventions for Epilepsy. PMID:26035671 -
Data integration: Combined imaging and electrophysiology data in the cloud
PubMed citations: 18.
18 articles citing: Data integration: Combined imaging and electrophysiology data in the cloud
Multiple mechanisms shape the relationship between pathway and duration of focal seizures. PMID:35855481
Engineering nonlinear epileptic biomarkers using deep learning and Benford's law. PMID:35354911
A framework For brain atlases: Lessons from seizure dynamics. PMID:35339683
Automated Identification of Surgical Candidates and Estimation of Postoperative Seizure Freedom in Children - A Focused Review. PMID:34620464
Electrocorticography and stereo EEG provide distinct measures of brain connectivity: implications for network models. PMID:34396112
A Full-Stack Application for Detecting Seizures and Reducing Data During Continuous Electroencephalogram Monitoring. PMID:34278312
The sensitivity of network statistics to incomplete electrode sampling on intracranial EEG. PMID:32537538
Seizure pathways change on circadian and slower timescales in individual patients with focal epilepsy. PMID:32366665
Spatial distribution of interictal spikes fluctuates over time and localizes seizure onset. PMID:31860064
Scientist and data architect collaborate to curate and archive an inner ear electrophysiology data collection. PMID:31626635
Virtual resection predicts surgical outcome for drug-resistant epilepsy. PMID:31599323
High interictal connectivity within the resection zone is associated with favorable post-surgical outcomes in focal epilepsy patients. PMID:31491812
Characterizing the role of the structural connectome in seizure dynamics. PMID:31099821
Big data sharing and analysis to advance research in post-traumatic epilepsy. PMID:29864492
Push and Pull: Borrowing Concepts From Control Theory for Seizure Spread. PMID:28491002
Science in the cloud (SIC): A use case in MRI connectomics. PMID:28327935
NeuroPigPen: A Scalable Toolkit for Processing Electrophysiological Signal Data in Neuroscience Applications Using Apache Pig. PMID:27375472
Computational analysis in epilepsy neuroimaging: A survey of features and methods. PMID:27114900
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als
metasource: re3data.org
version: re3data.org: Blackfynn Discover; editing status 2021-06-15; re3data.org - Registry of Research Data Repositories. http://doi.org/10.17616/R31NJMN0 last accessed: 2022-11-04
alzheimer’s disease
metasource: re3data.org
version: re3data.org: Blackfynn Discover; editing status 2021-06-15; re3data.org - Registry of Research Data Repositories. http://doi.org/10.17616/R31NJMN0 last accessed: 2022-11-04
parkinson’s disease
metasource: re3data.org
version: re3data.org: Blackfynn Discover; editing status 2021-06-15; re3data.org - Registry of Research Data Repositories. http://doi.org/10.17616/R31NJMN0 last accessed: 2022-11-04
epilepsy
metasource: re3data.org
version: re3data.org: Blackfynn Discover; editing status 2021-06-15; re3data.org - Registry of Research Data Repositories. http://doi.org/10.17616/R31NJMN0 last accessed: 2022-11-04
neurological diseases
metasource: re3data.org
version: re3data.org: Blackfynn Discover; editing status 2021-06-15; re3data.org - Registry of Research Data Repositories. http://doi.org/10.17616/R31NJMN0 last accessed: 2022-11-04
neurology
metasource: re3data.org
version: re3data.org: Blackfynn Discover; editing status 2021-06-15; re3data.org - Registry of Research Data Repositories. http://doi.org/10.17616/R31NJMN0 last accessed: 2022-11-04
neuroscience
metasource: re3data.org
version: re3data.org: Blackfynn Discover; editing status 2021-06-15; re3data.org - Registry of Research Data Repositories. http://doi.org/10.17616/R31NJMN0 last accessed: 2022-11-04
Tags
More detailed information about this field from each metasource.
als
metasource: re3data.orgversion: re3data.org: Blackfynn Discover; editing status 2021-06-15; re3data.org - Registry of Research Data Repositories. http://doi.org/10.17616/R31NJMN0 last accessed: 2022-11-04
alzheimer’s disease
metasource: re3data.orgversion: re3data.org: Blackfynn Discover; editing status 2021-06-15; re3data.org - Registry of Research Data Repositories. http://doi.org/10.17616/R31NJMN0 last accessed: 2022-11-04
parkinson’s disease
metasource: re3data.orgversion: re3data.org: Blackfynn Discover; editing status 2021-06-15; re3data.org - Registry of Research Data Repositories. http://doi.org/10.17616/R31NJMN0 last accessed: 2022-11-04
epilepsy
metasource: re3data.orgversion: re3data.org: Blackfynn Discover; editing status 2021-06-15; re3data.org - Registry of Research Data Repositories. http://doi.org/10.17616/R31NJMN0 last accessed: 2022-11-04
neurological diseases
metasource: re3data.orgversion: re3data.org: Blackfynn Discover; editing status 2021-06-15; re3data.org - Registry of Research Data Repositories. http://doi.org/10.17616/R31NJMN0 last accessed: 2022-11-04
neurology
metasource: re3data.orgversion: re3data.org: Blackfynn Discover; editing status 2021-06-15; re3data.org - Registry of Research Data Repositories. http://doi.org/10.17616/R31NJMN0 last accessed: 2022-11-04
neuroscience
metasource: re3data.orgversion: re3data.org: Blackfynn Discover; editing status 2021-06-15; re3data.org - Registry of Research Data Repositories. http://doi.org/10.17616/R31NJMN0 last accessed: 2022-11-04
als alzheimer’s disease parkinson’s disease epilepsy neurological diseases neurology neuroscience
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