Kreps, Gastón; Mieruch, Sebastian (2025): UDASH-SalaciaML-2-Arctic: Unified Database for Arctic and Subarctic Hydrography - Simplified and extended for quality control analyses [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.983690
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Published: 2025-07-17 • DOI registered: 2025-07-17
Abstract:
UDASH-SalaciaML-2-Arctic represents an updated and simplified version of the UDASH dataset, that has been created to develop an artificial intelligence algorithm, that we name SalaciaML-2-Arctic to support the visual/human quality control (QC) of the data. UDASH-SalaciaML-2-Arctic can be directly used with our algorithms, provided under the GitHub repository (https://github.com/GastonKreps/SalaciaML-2-Arctic), to reproduce our results, extend the methods and more. Additionally, we have implemented SalaciaML-2-Arctic as an user-friendly app at https://mvre.autoqc.cloud.awi.de. The following steps have been applied to the original UDASH dataset to create UDASH-SalaciaML-2-Arctic:
- Single, annual .txt files were concatenated into two single .csv files, one for temperature and one for salinity.
- Parameters have been reduced to a minimal set, names and units have been adapted slightly.
- Temperature and salinity gradients have been calculated and added.
- Missing values are kept as -999.
- Traditional QC flags, generated by the classical algorithms, have been added: 0=good, 2=suspect_gradient, 4=spike.
Related to:
Chouai, Mohamed; Mieruch-Schnülle, Sebastian; Behrendt, Axel; Vredenborg, Myriel; Rabe, Benjamin (2024): UDASH-AI: Unified Database for Arctic and Subarctic Hydrography Optimized for Artificial Intelligence Applications [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.973235
Source:
Behrendt, Axel; Sumata, Hiroshi; Rabe, Benjamin; Schauer, Ursula (2017): A comprehensive, quality-controlled and up-to-date data set of temperature and salinity data for the Arctic Mediterranean Sea (Version 1.0), links to data files [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.872931
References:
autoQC [webpage]. https://mvre.autoqc.cloud.awi.de/
MOSAiC-VRE [webpage]. https://mosaic-vre.org/
Related code / software:
Kreps, Gastón; Mieruch, Sebastian (2025): GastonKreps/SalaciaML-2-Arctic: SalaciaML-2-Arctic: Unified Database for Arctic and Subarctic Hydrography [software]. Zenodo, https://doi.org/10.5281/ZENODO.15836662
Project(s):
Funding:
Federal Ministry of Education and Research (BMBF), grant/award no. 03F0888A: M-VRE: The MOSAiC - Virtual Research Environment
Coverage:
Latitude: 90.000000 * Longitude: 0.000000
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | File content | Content | Mieruch, Sebastian | |||
| 2 | Binary Object | Binary | Mieruch, Sebastian | |||
| 3 | Binary Object (File Size) | Binary (Size) | Bytes | Mieruch, Sebastian |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Basic curation (CurationLevelB)
Size:
4 data points
Data
All files referred to in data matrix can be downloaded in one go as ZIP or TAR. Be careful: This download can be very large! To protect our systems from misuse, we require to sign up for an user account before downloading.
| 1 Content | 2 Binary | 3 Binary (Size) [Bytes] |
|---|---|---|
| Salinity | UDASH-SML2A-Salinity.csv | 5.4 GBytes |
| Temperature | UDASH-SML2A-Temperature.csv | 4.5 GBytes |