Tuesday, 11. September 2018
New Feature: Individual Baskets!
The new release for data.ccca provides a new powerful tool: Baskets
Baskets allow you to memorize and group datasets according to your individual preferences. This individual data collection can be made available in predefined groups, where you can share your data and working collaborative with your team. Coming soon, we will provide further special features for your basket like export to your ftp- home directory.
Baskets are accessible for logged in users via the status line (compare https://confluence.ccca.ac.at/display/DC/data.CCCA+News+2018?preview=/19005452/22085706/Basket.png)
Have fun and let us know your impressions.
Thursday, 09. August 2018
NetCDF Visualization impoved We extended the visualization capabilities of our server. See for example https://data.ccca.ac.at/dataset/geopotential-height_ro-climatology for the visualization of vertical levels or explore temperature scenarios: https://data.ccca.ac.at/dataset?res_format=NetCDF&groups=statistical-downscaling&groups=rcp85&q=temperature&groups=oks15
Tuesday, 03. July 2018
Palestine Universities visited the CCCA Datacentre We presented and discussed the implementation of the CCCA Dataserver with researchers form the University of Gaza and Westbank in an open and inspiring atmosphere. Items as Open Data, Licenses, Visualiziation, Data Management and Archive were investigated; we look forward to extend the contacts and establish cooperations. The meeting was organized by the TU Wien (ERASMUS) and the Research Data Alliance Austria (https://www.rd-alliance.org/groups/rda-austria).
For more information see: https://confluence.ccca.ac.at/display/DC/data.CCCA+News+2018
Sunday, 03. June 2018
Radio occultation global gridded datasets for temperature, geopotential high and specific humidity since 2006, created by Wegener Center Graz are available. These information are stored in NetCDF, the CCCA Data Centre is taking this opportunity to extend the existing visualization tool to more than 3 Dimensions.
We presented this activity on eodc forum 2018 two weeks ago. If you need detailed information, please contact us directly.
Friday, 20. April 2018
Workshop CCCA Data Center - From Metadata to NetCDF, Wednesday 25. April 09:00 - Invitation Due to the increasing ussage of Python in the natural sciences, this workshop will provide an overview of useful modules for dealing with data sets and metadata within the the CCCA Data Centre environment. How to use the API (application programming interface) at the CCCA Data Centre, short introduction how to analyze and visualize data. How to deal with multidimensional data sets in NetCDF format, averaged in time and space, and results exported to other formats like CSV. This hands on session will be held in german.
Thursday, 12. April 2018
Dynamic Data Citation and Subset tool developed by CCCA Data Centre were presented at EGU 2018 in Vienna and at the RDA Plenary in Berlin. The oral presentation at EGU was held within the Future Shock Session: Evolving Earth Science Data and Information Systems across the entire research lifecycle. In Berlin we presented our web based tool successfully as a first comprehensive implementation for Dynamic Data Citation. Citing datasets in an appropriate manner is recognised as good scientific practice. Dealing with the original source as part of the provenance within the data life cycle is an essential basis for research data to carry out verification and reproducibility. To establish a reproducibly of data processes and their re- use, researchers need the ability to identify the exact version of a data set used. The Dynamic Data Citation is used for creating subsets.
Wednesday, 14. March 2018
Welcome to our redesigned and restructured server.
Please have a look at your data and do not hesitate to contact us if you have any questions. Have fun!
Friday, 12. January 2018
News about the new metadata schema- We are working intensively on the new metadata schema (DCAT) which will ensure a great deal of interoperability for our users. As a consequence every resource will constitute its own dataset thus increasing search engine exposure of your resources. All resources and datapackages will be transformed to the new schema by the CCCA Datacentre Team thus you are able to benefit from our improvements without any effort.