Viewing posts for the category CEDA highlights
Posted by: CEDA Helpdesk in CEDA highlights 1 month ago
Scientists using the UK’s largest environmental super computer and data store gathered last month to share their experiences of big data environmental science and now you can view their presentations too.
Posted by: CEDA Helpdesk in CEDA highlights 3 months, 2 weeks ago
Finding the right data for your research can often be a daunting task... especially when faced with a vast archive of over 5000 datasets with 180 million files to choose from, such as in the CEDA archive! However, CEDA are pleased to announce a major step towards helping resolve this conundrum; bringing the power of industry search tools and direct metadata harvesting at scale to solve these problems.
Posted by: CEDA Helpdesk in CEDA highlights 4 months ago
On 21st March, we ran our first ever webinar called ‘Getting started with JASMIN’. The aim of the webinar was to provide a basic overview for new users wanting to learn about what JASMIN is, and how to get access. Over 80 people registered, from a range of institutes and scientific disciplines. The webinar was recorded and is freely available to view here. We plan to run future webinars approximately every 3 months.
Posted by: CEDA Helpdesk in CEDA highlights 8 months, 2 weeks ago
A stand at NERC’s public engagement event, called UnEarthed, was recently run by CEDA (Centre for Environmental Data Analysis*) staff. UnEarthed was a showcase of the diverse environmental science undertaken by NERC scientists, ranging from decaying Puffins, making clouds in a bottle, to virtual reality floods. The event was free to attend at Dynamic Earth, in Edinburgh, and nearly ~7000 people visited over 4 days.
Posted by: CEDA Helpdesk in CEDA highlights service announcements 1 year, 1 month ago
We are very pleased to announce a new map-application for locating scenes and scans from a range of Earth Observation data sets held in the CEDA archive. The CEDA Satellite Data Finder provides spatial, temporal and satellite filters for data from the following satellite missions: