Skip to content

Latest commit

 

History

History
91 lines (69 loc) · 6.04 KB

File metadata and controls

91 lines (69 loc) · 6.04 KB

OpenNeuroDataShowcase banner

Open Neurodata Showcase 2024

Meet the scientists who have publicly shared neurophysiology data.

Dates and Location

  • Dates: July 2, 9 - 10:30AM PDT (UTC-7) 2024
  • Location: Virtual in Gather (link to be shared closer to the event date)

Objective

The DANDI Archive now has 199+ neurophysiology datasets in the Neurodata Without Borders format spanning many species, brain areas, task types, and imaging modalities. These include high-value datasets, e.g. from Allen Institute OpenScope, the MICrONS project, and the International Brain Laboratory Brain Wide Map, as well as diverse contributions from neuroscience labs around the world.

In this event, we organize a virtual poster session in the Gather platform to bring together data contributors and anyone interested in reusing existing neurophysiology data. This virtual event offers a unique opportunity for participants to engage in discussions, explore dandisets, and allows data contributors to showcase their projects.

Eligibility

This virtual event is open to anyone interested in neurophysiology data, including but not limited to:

  • Neuroscience graduate students, post-docs, and other researchers interested in using open data in their research
  • Educators who want to use real datasets in their lessons
  • Undergraduates and high school students interested in learning about neuroscience
  • Open science advocates

Registration

If you are interested in attending the event, register here.

Virtual Data Showcase Agenda

Session Speakers Time: Pacific
Gather space opens to participants 8:55am
Introduction to the virtual data showcase Organizers 9:00-9:20am
Virtual poster session Data Contributors 9:20-10:30am

Presenters

Organizing Committee

Program chairs:

  • Alessandra Trapani, CatalystNeuro
  • Anna Szonja Weigl, CatalystNeuro
  • Benjamin Dichter, CatalystNeuro
  • Oliver Rübel, Lawrence Berkeley National Laboratory
  • Ryan Ly, Lawrence Berkeley National Laboratory
  • Stephanie Albin, The Kavli Foundation

Disclaimer

This website and related content were prepared as an account of or to expedite work sponsored at least in part by the United States Government. While we strive to provide correct information, neither the United States Government nor any agency thereof, nor The Regents of the University of California, nor any of their employees, makes any warranty, express or implied, or assumes any legal responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights.

Reference herein to any specific commercial product, process, or service by its trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof, or The Regents of the University of California. Use of the Laboratory or University’s name for endorsements is prohibited.

The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof or The Regents of the University of California. Neither Berkeley Lab nor its employees are agents of the US Government.

Berkeley Lab web pages link to many other websites. Such links do not constitute an endorsement of the content or company and we are not responsible for the content of such links.