The American Meteorological Society's Board on Environmental Information Processing Technologies (EIPT) wants to let you know that the submission deadline for EIPT papers and posters has been extended until 11 August 2016.
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Extended: EIPT Abstract Deadline for the 97th AMS Annual Meeting
06 August 2016
The American Meteorological Society's Board on Environmental Information Processing Technologies (EIPT) wants to let you know that the submission deadline for EIPT papers and posters has been extended until 11 August 2016.
[Read More]19 July 2016
Recently I had the great pleasure of attending the SciPy 2016 conference. SciPy is an annual conference focused on the use of the Python programming language for scientific applications. The conference program consists of two days of tutorials, three days of presentations, and a final two days of code sprints.
[Read More]EIPT Abstract Deadline for the 97th AMS Annual Meeting
18 July 2016
The American Meteorological Society's Board on Environmental Information Processing Technologies (EIPT) wants to remind you that the submission deadline for EIPT papers and posters is 3 August 2016. Read on for additional information about the conference and submission process.
[Read More]Call for Abstracts: AGU Session on netCDF-CF
14 July 2016
The 2016 AGU Fall Meeting, to be held 12-16 December 2016 in San Francisco, California, will include a session titled “Advancing netCDF-CF for the Geoscience Community.”
The converners encourage you to consider contributing to the session by submitting a short abstract for the session. Please read on for details.
[Read More]2016 National Data Integrity Conference
21 April 2016
The National Data Integrity Conference is a gathering of people sharing new challenges and solutions regarding research data and integrity. The conference aims to provide attendees with both an understanding of data integrity issues and impart practical tools and skills to deal with them. Topics addressed will include data privacy, openness, policy, education and the impacts of sharing data, how to do it, when to do it, and when not to.
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