Showing entries tagged [data]

Friendly Reminder: Free Data Available from SSEC

SSEC

Providing data services and tools to the geoscience community is at the core of Unidata's efforts. In addition to providing direct access to data (through the Internet Data Distribution network, LDM software, and THREDDS Data Servers), Unidata also strives to make community members aware of other services that provide support for our community's research.

In February of 2013, Unidata's long time collaborative partner, the University of Wisconsin's Space Science and Engineering Center (SSEC), began a program at the SSEC Data Center to provide a limited amount of archived geostationary satellite data to Unidata's academic community members at no cost. This post is a friendly reminder that members of Unidata's academic community can register with SSEC and receive up to 5 Gigabytes of archived data each month free of charge. We encourage you to investigate this valuable data resource.

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Rosetta: A Data Transformation Tool for ASCII Files

Rosetta
Rosetta's wizard interface

Rosetta, one of Unidata's data transformation tools, is helping the scientific community with the standardization of data. Created by Unidata software engineer Sean Arms, Rosetta is strengthening the science community's ability to standardize raw data by providing an easy way to add appropriate metadata to ASCII files, allowing them to save and store the files in either an ASCII format (e.g. .csv) or in Climate and Forecast (CF)-compliant netCDF files. Most recently, Rosetta has helped Millersville University transform weather balloon data collected as part of a nationwide experiment.

Millersville University has been involved in an experiment known as PECAN (Plains Elevated Convection at Night). The experiment involves eight research laboratories and fourteen Universities. They share the common goal of finding the cause of an increase of mesoscale convective storms (MCSes) that occur at night during the summer months.

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2016 National Data Integrity Conference

NDIC

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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Python AWIPS Data Access Framework

Description

Unidata is pleased to announce the availability of the Python Data Access Framework (DAF). The DAF provides access to an AWIPS II Environmental Data EXchange (EDEX) server directly from Python code. Created by Unidata Program Center software engineer Michael James, the DAF strengthens Unidata's AWIPS II offerings by making it easier to retrieve data from the AWIPS II data storage system from outside the Common AWIPS Visualization Environment (CAVE).

Users have always been able to request real time NCEP/NWS weather data using AWIPS II, but now, with the addition of the Python DAF, users can request this data using only simple python commands.

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AMS Short Course on Data Management

AMS Meeting 2016

Data management mandates from federal funding agencies, professional societies, and publishers are becoming more common at all scales of research effort. To help researchers navigate the new requirements and implement effective, low-overhead data management workflows, Unidata is hosting an AMS Short Course on Data Management Planning and Implementation: Training on available open-source tools and services from the community and Unidata. The short course will be held the afternoon of Sunday, 10 January 2016, preceding the 96th AMS Annual Meeting in New Orleans, Louisiana.

The short course will provide information on the current mandates, present a researcher-focused approach to data management, and introduce freely available services and tools that can be combined to manage and share research data. The course is intended for practicing researchers who are interested in both meeting the current requirements and implementing “best practice” data management processes in their research effort. The course builds on and extends information available in Unidata's Data Management Resource Center.

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News@Unidata
News and information from the Unidata Program Center
News@Unidata
News and information from the Unidata Program Center

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