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Data presented here were collected between January 2025 to December 2025 within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems, https://uol.de/dynacom/ ) of the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were created in the back barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog. Meteorological data were collected near the experimental setup, with a locally installed weather station located approximately 500m north of the southern shoreline. The weather station system used here was a ClimaSensor US 4.920x.00.00x that was pre-calibrated by the manufacturer (Adolf Thies GmbH & Co. KG, D-Göttingen). Data were recorded and saved within the Processcontrol Weather (c) -4H- JENA engineering GmbH (v20.1.0.1 2020) software in a sampling interval of 1 min, with an averaging time of 10 s. Date and time were given in UTC and the position was derived from the internal GPS system. Data handling was performed according to Zielinski et al. (2018): Post-processing of collected data was done using MATLAB (R2024b). Quality control was performed by (a) erasing data covering maintenance activities, (b) removing outliers, defined as data exhibiting changes of more than two standard deviations within one time step, and (c) visually checks.
The Time Series Station Spiekeroog (TSS) was setup in 2002, in the tidal inlet between the East Frisian Islands of Langeoog and Spiekeroog in the Southern German Bight, at position 53°45′01.0″ N, 007°40′16.3″ E. The aim was to ensure the continuous measurement of physical, biological, chemical and meteorological parameters, even under extreme weather conditions such as storms, ice, and storm surges. The TSS was financed as part of the Deutsche Forschungsgemeinschaft (DFG) research unit BioGeoChemistry of Tidal Flats and the Ministry for Science and Culture of the Land of Lower Saxony (MWK). Here, water temperature and conductivity were measured in the year 2009. All raw data were revised and corrected for steps as range, outliers and stationarity checks. Water temperature and conductivity were measured in five different depths (4 m, 5.5 m, 7.5 m, 9.5 m, 11.5 m below MSL). Due to marine biofouling at the sensors and accompanying drift of instruments, the measured water temperature and conductivity data were corrected via linear regression by using reference data. As the water column in this region is well mixed and the water depth of the measurements varies with the tide, data from all five depths were averaged and referenced to a water depth of 4 m. Absolute salinity was derived from conductivity, temperature and pressure data according to TEOS 10. Data were smoothed and a quality flag was assigned for water temperature and salinity. The quality flags refer to the standard for data quality control of SeaDataNet https://www.seadatanet.org/ (0 = raw data, 1 = good data, 2 = probably good data, 3 = questionable data). Water level data for 2009 obtained at TSS are published by Holinde et al. (2015). A detailed description of the Time Series Station Spiekeroog, its structure and instrumentation can be found in Zielinski et al. (2022) and in Reuter et al. (2009).
The Time Series Station Spiekeroog (TSS) was setup in 2002, in the tidal inlet between the East Frisian Islands of Langeoog and Spiekeroog in the Southern German Bight, at position 53°45′01.0″ N, 007°40′16.3″ E. The aim was to ensure the continuous measurement of physical, biological, chemical and meteorological parameters, even under extreme weather conditions such as storms, ice, and storm surges. The TSS was financed as part of the Deutsche Forschungsgemeinschaft (DFG) research unit BioGeoChemistry of Tidal Flats and the Ministry for Science and Culture of the Land of Lower Saxony (MWK). Here, water temperature and conductivity were measured in the year 2008. All raw data were revised and corrected for steps as range, outliers and stationarity checks. Water temperature and conductivity were measured in five different depths (4 m, 5.5 m, 7.5 m, 9.5 m, 11.5 m below MSL). Due to marine biofouling at the sensors and accompanying drift of instruments, the measured water temperature and conductivity data were corrected via linear regression by using reference data. As the water column in this region is well mixed and the water depth of the measurements varies with the tide, data from all five depths were averaged and referenced to a water depth of 4 m. Absolute salinity was derived from conductivity, temperature and pressure data according to TEOS 10. Data were smoothed and a quality flag was assigned for water temperature and salinity. The quality flags refer to the standard for data quality control of SeaDataNet https://www.seadatanet.org/ (0 = raw data, 1 = good data, 2 = probably good data, 3 = questionable data). Water level data for 2008 obtained at TSS are published by Holinde et al. (2015). A detailed description of the Time Series Station Spiekeroog, its structure and instrumentation can be found in Zielinski et al. (2022) and in Reuter et al. (2009).
The Time Series Station Spiekeroog (TSS) was setup in 2002, in the tidal inlet between the East Frisian Islands of Langeoog and Spiekeroog in the Southern German Bight, at position 53°45′01.0″ N, 007°40′16.3″ E. The aim was to ensure the continuous measurement of physical, biological, chemical and meteorological parameters, even under extreme weather conditions such as storms, ice, and storm surges. The TSS was financed as part of the Deutsche Forschungsgemeinschaft (DFG) research unit BioGeoChemistry of Tidal Flats and the Ministry for Science and Culture of the Land of Lower Saxony (MWK). Here, air temperature, air pressure, relative humidity, wind speed and wind direction were measured in the year 2018. All raw data were revised and corrected for steps as range, outliers and stationarity checks. A detailed description of the Time Series Station Spiekeroog, its structure and instrumentation can be found in Zielinski et al. (2022) and in Reuter et al. (2009).
The Time Series Station Spiekeroog (TSS) was setup in 2002, in the tidal inlet between the East Frisian Islands of Langeoog and Spiekeroog in the Southern German Bight, at position 53°45′01.0″ N, 007°40′16.3″ E. The aim was to ensure the continuous measurement of physical, biological, chemical and meteorological parameters, even under extreme weather conditions such as storms, ice, and storm surges. The TSS was financed as part of the Deutsche Forschungsgemeinschaft (DFG) research unit BioGeoChemistry of Tidal Flats and the Ministry for Science and Culture of the Land of Lower Saxony (MWK). Here, air temperature, air pressure, relative humidity, wind speed and wind direction were measured in the year 2008. All raw data were revised and corrected for steps as range, outliers and stationarity checks. A detailed description of the Time Series Station Spiekeroog, its structure and instrumentation can be found in Zielinski et al. (2022) and in Reuter et al. (2009).
The Time Series Station Spiekeroog (TSS) was setup in 2002, in the tidal inlet between the East Frisian Islands of Langeoog and Spiekeroog in the Southern German Bight, at position 53°45′01.0″ N, 007°40′16.3″ E. The aim was to ensure the continuous measurement of physical, biological, chemical and meteorological parameters, even under extreme weather conditions such as storms, ice, and storm surges. The TSS was financed as part of the Deutsche Forschungsgemeinschaft (DFG) research unit BioGeoChemistry of Tidal Flats and the Ministry for Science and Culture of the Land of Lower Saxony (MWK). Here, sea level, water temperature and conductivity were measured in the year 2017. All raw data were revised and corrected for steps as range, outliers and stationarity checks. Water temperature and conductivity were measured in five different depths (4 m, 5.5 m, 7.5 m, 9.5 m, 11.5 m below MSL). Due to marine biofouling at the sensors and accompanying drift of instruments, the measured water temperature and conductivity data were corrected via linear regression by using reference data. As the water column in this region is well mixed and the water depth of the measurements varies with the tide, data from all five depths were averaged and referenced to a water depth of 4 m. Absolute salinity was derived from conductivity, temperature and pressure data according to TEOS 10. Data were smoothed and a quality flag was assigned for water temperature and salinity. The quality flags refer to the standard for data quality control of SeaDataNet https://www.seadatanet.org/ (0 = raw data, 1 = good data, 2 = probably good data, 3 = questionable data). A detailed description of the Time Series Station Spiekeroog, its structure and instrumentation can be found in Zielinski et al. (2022) and in Reuter et al. (2009).
Data presented here were collected between January 2023 to August 2023 within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems) of the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were created in the back barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog. Sediment samples for the determination of pore-water salinity were taken bi-/monthly in surface sediments (0-3 cm depth) of the experimental plots. Samples were taken between 3 hours before and 3 hours after low tide. Samples were stored dark and cool (8°C) until measurement. Samples were measured in the laboratory within two months after sampling according to DIN ISO 11265:1997-06. In the laboratory, sediment samples for the determination of pore-water salinity were weighed in pre-weighed Falcon™ 50 mL conical centrifuge tubes (10 g sediment on average, depending on sand content). After one month of air-drying samples were re-weighed to determine dry weight and therefore the loss in weight. Ultrapure water was added to the tubes and were homogenized using a pestle. Salinity was measured directly in the tubes with a HQ40D Digital two channel multi meter and a pre-calibrated Intellical CDC401 field 4-poles graphite conductivity cell (Hach Lange GmbH, Germany). Post-processing of measured values were done using MATLAB (R2024b). Quality control was performed by (a) visually checks, and hence (b) the classification into quality control flags using quality check algorithms.
The Time Series Station Spiekeroog (TSS) was setup in 2002, in the tidal inlet between the East Frisian Islands of Langeoog and Spiekeroog in the Southern German Bight, at position 53°45′01.0″ N, 007°40′16.3″ E. The aim was to ensure the continuous measurement of physical, biological, chemical and meteorological parameters, even under extreme weather conditions such as storms, ice, and storm surges. The TSS was financed as part of the Deutsche Forschungsgemeinschaft (DFG) research unit BioGeoChemistry of Tidal Flats and the Ministry for Science and Culture of the Land of Lower Saxony (MWK). Here, air temperature, air pressure, relative humidity, wind speed and wind direction were measured in the year 2024. All raw data were revised and corrected for steps as range, outliers and stationarity checks. A detailed description of the Time Series Station Spiekeroog, its structure and instrumentation can be found in Zielinski et al. (2022) and in Reuter et al. (2009).
Data presented here were collected between November 2019 to September 2023 within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems, https://uol.de/dynacom/ ) involving the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were established in the back-barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog (Germany). A recording current meter (RCM; SEAGUARD® Recording Current Meter, Aanderaa Data Instruments AS, Bergen/Norway) was installed in the back-barrier tidal flat near the experimental islands. The sensor was bottom-mounted in a shallow tidal creek (0.59 m NHN) using a steel girder buried in the sediment, which caused the sensor to be exposed during low tide. All low-tide data have been removed from the dataset. The system was equipped with a ZPulse Doppler Current Sensor (DCS), a conductivity sensor, an oxygen optode, and two analogue sensors for chlorophyll-a and turbidity (16445). All sensors were pre-calibrated by the manufacturer. Recorded data were internally logged until readout with the SeaGuard Studio software (V1.5.23). Salinity was derived in the SeaGuard Studio software using temperature-dependent, nonlinear seawater conductivity compensation following the Practical Salinity Scale (PSS-78). Subsequent data processing was done using MATLAB (R2024b). Turbidity and chlorophyll-a data were excluded from the final dataset, as the recorded signals show implausible values and did not pass quality-control criteria. Post-processing and quality control included (a) the removal of low tide data, data covering maintenance activities, and data affected by biofouling, (b) the removal of implausible values, c) an outlier detection using the Hampel filter method, and (d) visual checks. Identified outlier were removed and synchronously removed across all associated parameters of the respective sensor.
Data presented here were collected between April 2017 to December 2017 in the BEFmate project (Biodiversity - Ecosystem Functioning across marine and terrestrial ecosystems) of the Universities of Oldenburg and Göttingen and the Nationalparkverwaltung Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were established in the back-barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog (Germany). Salinity at different elevation zones was measured using conductivity loggers deployed in dip wells within experimental islands as well as in the saltmarsh enclosed plots. Measurements were obtained using HOBO U24 Conductivity Logger U24-002-C (Onset Computer Corporation, Bourne, MA/USA). All devices were pre-calibrated by the manufacturer. Logged data were retrieved in the field using a Hobo Underwater Shuttle (U-DTW-1) and were read out with the HOBOware Pro (V3.7.28) software. Salinity was derived in HOBOware Pro using temperature-dependent, nonlinear seawater conductivity compensation following the Practical Salinity Scale (PSS-78). Subsequent data processing was done using MATLAB (R2024b). Post-processing and quality control included (a) the removal of data covering maintenance activities, (b) the removal of implausible values using fixe thresholds (salinity > 40 psu and < 5 psu; temperature > 35 °C and < -5 °C), c) an outlier detection using the Hampel filter method, and (d) visual checks. Identified outliers were removed and synchronously removed across all associated parameters (temperature and salinity).
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