SHELDA: sub-hourly European quality  controlled sea level dataset

Balić, Marijana; Šepić, Jadranka

doi:10.5194/essd-18-7143-2026

Articles | Volume 18, issue 10

https://doi.org/10.5194/essd-18-7143-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-18-7143-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 10

Data description article

|

30 Sep 2026

Data description article |

| 30 Sep 2026

SHELDA: sub-hourly European quality controlled sea level dataset

Marijana Balić and Jadranka Šepić

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Total article views: 1,966 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	BibTeX	EndNote
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XML: 146
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Views and downloads (calculated since 28 Dec 2025)

Month	HTML	PDF	XML	Total
Dec 2025	109	27	6	142
Jan 2026	125	96	7	228
Feb 2026	11	42	7	60
Mar 2026	48	50	13	111
Apr 2026	67	65	10	142
May 2026	42	44	7	93
Jun 2026	9	10	3	22
Jul 2026	17	20	0	37
Aug 2026	7	9	2	18
Sep 2026	101	38	20	159
Oct 2026	500	205	55	760
Nov 2026	143	35	16	194

Cumulative views and downloads (calculated since 28 Dec 2025)

Month	HTML	PDF	XML	Total
Dec 2025	109	27	6	142
Jan 2026	125	96	7	228
Feb 2026	11	42	7	60
Mar 2026	48	50	13	111
Apr 2026	67	65	10	142
May 2026	42	44	7	93
Jun 2026	9	10	3	22
Jul 2026	17	20	0	37
Aug 2026	7	9	2	18
Sep 2026	101	38	20	159
Oct 2026	500	205	55	760
Nov 2026	143	35	16	194

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Total article views: 1,966 (including HTML, PDF, and XML) Thereof 1,963 with geography defined and 3 with unknown origin.

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Short summary

SHELDA is sub-hourly European quality controlled sea level dataset with 257 records in NetCDF format, each representing a quality-controlled time series sampled at intervals between 1 and 15 min, along with residual derived by removing tidal components. It provides reliable, high-quality data essential for accurately analysing short-term sea level variations and extreme events, which are often overlooked due to limited resolution or insufficient quality control in existing datasets.