the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A 28-year-long (1997–2024) hydrographic dataset from the southern Baltic Sea
Abstract. The data set presented here consists of Conductivity–Temperature–Depth (CTD) observations collected during 96 research cruises of R/V Oceania across the southern Baltic Sea between 1997 and 2024. The collection comprises towed and vertical station profiles acquired along a repeat transect spanning the Arkona Basin, Bornholm Basin, Słupsk Furrow, and Gdańsk Basin. Acquisition and post-processing procedures include standardized parsing of CNV/TXT files, robust time/position handling, pressure-binning to 1 dbar, median filtering, automated geolocation quality control, and pruning of incomplete profiles. The dataset enables analyses of seasonal to decadal variability in temperature and salinity, inflow propagation, ventilation events, and model validation. Manufacturer specifications for the principal instruments (Guildline 87104, Idronaut OS316/OS316Plus, Sea-Bird SBE49, Sea-Bird SBE19plus) are summarized to inform uncertainty assessment.
- Preprint
(2254 KB) - Metadata XML
- BibTeX
- EndNote
Status: open (until 20 Feb 2026)
- RC1: 'Comment on essd-2025-755', Anonymous Referee #1, 04 Jan 2026 reply
Data sets
Southern Baltic Sea hydrographic CTD profiles along the Arkona–Bornholm–Słupsk–Gdańsk transect (1997–2024) Daniel Rak https://doi.org/10.48457/IOPAN.2025.531
Viewed
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 202 | 51 | 13 | 266 | 12 | 8 |
- HTML: 202
- PDF: 51
- XML: 13
- Total: 266
- BibTeX: 12
- EndNote: 8
Viewed (geographical distribution)
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
Reviewer comments:
This manuscript presents a valuable, long-term CTD dataset spanning 28 years (1997–2024) in the southern Baltic Sea, a region with historically sparse high-resolution hydrographic observations—particularly within the Polish EEZ. The dataset, compiled from 96 cruises with over 55,000 profiles, fills a critical observational gap and provides a robust foundation for studies of seasonal-to-decadal variability, inflow dynamics, stratification, and model validation. The authors have demonstrated meticulous attention to data collection, calibration, QC, and standardization, making the dataset interoperable and accessible to the broader scientific community. Overall, this work is scientifically significant and well-structured, though several minor revisions would enhance its clarity, completeness, and utility. I recommend minor revision for publication.
Recommendations for Revision