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Input data for GNOM simulations
No full textThe table provides input data for model analysis. Pasquier et al. (2022, doi:10.5194/gmd-15-4625-2022) quantified the six major Nd sources controlling seawater Nd cycling and applied these data as input for their inverse model GNOM to analyze global Nd circulation. We extracted this dataset into table format to ensure reliability in GNOM analyses and to facilitate broader use. The data were gridded and normalized in the original study; for further details, see Pasquier et al. (2022, doi:10.5194/gmd-15-4625-2022)
Master tracks in different resolutions of ELISABETH MANN BORGESE cruise EMB343, Rostock - Rostock, 2024-06-21 - 2024-07-02
No full textRaw data acquired by position sensors on board RV Elisabeth Mann Borgese during expedition EMB343 were processed to receive a validated master track which can be used as reference of further expedition data. During EMB343 data from the motion reference unit exail Phins Gen.3, the Trimble SPS356 GPS receiver, the Furuno GP-170 and the Furuno GP-150 GPS receiver were used to calculate the mastertrack. Data were downloaded from DAVIS SHIP data base (https://dship.bsh.de) with a resolution of 1 sec. Processing and evaluation of the data is outlined in the data processing report. Processed data are provided as a master track with 1 sec resolution derived from the position sensors' data selected by priority and a generalized track with a reduced set of the most significant positions of the master track
Master track of Eugen Seibold cruise ES24C11, Panama City - Puerto Ayora, 2024-08-02 - 2024-08-10
No full textThis dataset contains the validated master track of the S/Y Eugen Seibold during expedition ES24C11, with a time resolution of about 10 seconds. This master track can be used as reference for further expedition data. For creating the master track, the 1-second resolution raw data acquired by the GPS position sensor on board S/Y Eugen Seibold were processed, averaging latitude and longitude within equidistant 10-second intervals. Quality control was performed visually and by checking the maximum speed calculated between neighbouring positions. In case of unrealistically high speeds, data points have been removed
Continuous water level observations at station BEFmate_I3upp, 2020-01 to 2023-04
No full textData presented here were collected between 2020-01 and 2023-04 at station BEFmate_I3upp 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). Groundwater levels at different elevation zones were measured using pressure loggers deployed in dip wells within the experimental islands as well as in the saltmarsh enclosed plots. Measurements were obtained using Hobo U20L Water Level Loggers (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, Subsequent data processing was done using MATLAB (R2024b). Atmospheric pressure correction for water-level calculations was applied using data from a nearby weather station. Post-processing and quality control included (a) the removal of data covering maintenance activities, (b) an outlier detection, and (c) visual checks. Outliers in water level and temperature time series were detected using a moving-median filter and a 3-sigma criterion, with additional cross-checking against a reference sensor. Identified outliers were removed, and height-corrected water level series were produced to ensure consistency across sensors and years
Continuous water level observations at station BEFmate_I4upp, 2020-01 to 2021-07
No full textData presented here were collected between 2020-01 and 2021-07 at station BEFmate_I4upp 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). Groundwater levels at different elevation zones were measured using pressure loggers deployed in dip wells within the experimental islands as well as in the saltmarsh enclosed plots. Measurements were obtained using Hobo U20L Water Level Loggers (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, Subsequent data processing was done using MATLAB (R2024b). Atmospheric pressure correction for water-level calculations was applied using data from a nearby weather station. Post-processing and quality control included (a) the removal of data covering maintenance activities, (b) an outlier detection, and (c) visual checks. Outliers in water level and temperature time series were detected using a moving-median filter and a 3-sigma criterion, with additional cross-checking against a reference sensor. Identified outliers were removed, and height-corrected water level series were produced to ensure consistency across sensors and years