Attention: The autoQC service is now in beta mode. We are happy that you try out the service and give us feedback or report on probable bugs.
autoQC is a tool that inlcudes classical and machine learning algorithms to support the quality control of arctic ocean temperature profile measurements. It has been developed in the M-VRE project (https://mosaic-vre.org). autoQC has been trained with the UDASH dataset and is based on works of the SalaciaML project (https://salacia-ml.awi.de/), which was published in Frontiers of Marine Sciences at SalaciaML. autoQC is developed at the Alfred Wegener Institute (AWI) in Bremerhaven, Germany.
Former team members:
Dr. Mohamed Chouai
Felix Reimers
Dr. Mohamed Chouai
Felix Reimers
If you use autoQC, please cite: https://mvre.autoqc.cloud.awi.de
Download and try with our Test data !
Download and try with our Test data !
Forgot your password? No problem. Just let us know your email address and we will email you a password reset link that will allow you to choose a new one.
Back to Login!
UDASH arctic temperature profile with spike error.
