Other language confidence: 0.9671328794069297
As part of PhytOakmeter (www.phytoakmeter.de), time-domain transmission, soil moisture and -temperature sensors with custom-made logger systems were used to measure time series of soil state variables. The aim of these investigations was to provide data on environmental properties used in a cross-disciplinary approach. The measurement device consisted of two sensors at three different depths. The dataset contains the values of time (UTC), relative permittivity, soil moisture (in % vol) derived from permittivity and soil temperature (in °C). Determination of soil moisture was done using the formula of Topp et al. (1980). As sensors, the SMT100 soil moisture sensors with integrated temperature measurement were used. All sensors were installed within the upper 50cm below ground. The exact depths for each sensor are listed in the dataset and parameter comment.
As part of PhytOakmeter (www.phytoakmeter.de), time-domain transmission, soil moisture and -temperature sensors with custom-made logger systems were used to measure time series of soil state variables. The aim of these investigations was to provide data on environmental properties used in a cross-disciplinary approach. The measurement device consisted of two sensors at three different depths. The dataset contains the values of time (UTC), relative permittivity, soil moisture (in % vol) derived from permittivity and soil temperature (in °C). Determination of soil moisture was done using the formula of Topp et al. (1980). As sensors, the SMT100 soil moisture sensors with integrated temperature measurement were used. All sensors were installed within the upper 50cm below ground. The exact depths for each sensor are listed in the dataset and parameter comment.
Data sets contain vertical profiles of current velocity measured by upward-looking Nortek AquaPro Acoustic Doppler Current Profilers (ADCP) deployed at two stations, an oyster bank (6.899° lng/ 53.546° lat, -32cm N.N) and a sand bank (6.898° lng/ 53.545° lat, -78cm N.N.), at Randzel 1 oyster reef in the Wadden Sea. Oyster bank station was located at the western edge of oyster reef, while sand bank station was positioned approximately 80 m to the southwest on a sandy seabed for comparison.
Data sets contain vertical profiles of current velocity measured by upward-looking Nortek AquaPro Acoustic Doppler Current Profilers (ADCP) deployed at two stations, an oyster bank (6.899° lng/ 53.546° lat, -32cm N.N) and a sand bank (6.898° lng/ 53.545° lat, -78cm N.N.), at Randzel 1 oyster reef in the Wadden Sea. Oyster bank station was located at the western edge of oyster reef, while sand bank station was positioned approximately 80 m to the southwest on a sandy seabed for comparison. Instruments were deployed near the seabed and operated in burst mode, consisting of 3-minute measurement intervals followed by 12-minute pauses. Two sampling configurations were applied: (1) April to May 2023: Oysterbank 1 (6.899° lng/ 53.546° lat, -32cm N.N) and April to May 2023: Sandbank 1 (6.898° lng/ 53.545° lat, -78cm N.N.) were recorded at 1 Hz with a vertical bin size of approximately 0.02 m. (2) After 14 May 2023 (Oysterbank 2 and Sandbank 2), sampling frequency was increased to 4 Hz, resulting in a vertical bin size of approximately 0.08 m. Raw ADCP data were processed using Nortek software and MATLAB routines. Processing included conversion of acoustic backscatter signals into orthogonal velocity components (u, v, w). Data with signal correlation values below 40 were excluded. Raw velocity components (u, v, w) were averaged over 60-second intervals, resulting in a temporal resolution of 1 minute. The vertical reference is distance above the instrument (bin height). The ADCP transducers were located approximately 0.13 m above the seafloor, so vertical profiles start at this offset above bed level. Time is given in UTC. Each dataset contains time-resolved vertical profiles of current velocity for the respective station. No further post-processing or filtering was applied.
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 2023. 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).
As part of PhytOakmeter (www.phytoakmeter.de), time-domain transmission, soil moisture and -temperature sensors with custom-made logger systems were used to measure time series of soil state variables. The aim of these investigations was to provide data on environmental properties used in a cross-disciplinary approach. The measurement device consisted of two sensors at three different depths. The dataset contains the values of time (UTC), relative permittivity, soil moisture (in % vol) derived from permittivity and soil temperature (in °C). Determination of soil moisture was done using the formula of Topp et al. (1980). As sensors, the SMT100 soil moisture sensors with integrated temperature measurement were used. All sensors were installed within the upper 50cm below ground. The exact depths for each sensor are listed in the dataset and parameter comment.
As part of PhytOakmeter (www.phytoakmeter.de), time-domain transmission, soil moisture and -temperature sensors with custom-made logger systems were used to measure time series of soil state variables. The aim of these investigations was to provide data on environmental properties used in a cross-disciplinary approach. The measurement device consisted of two sensors at three different depths. The dataset contains the values of time (UTC), relative permittivity, soil moisture (in % vol) derived from permittivity and soil temperature (in °C). Determination of soil moisture was done using the formula of Topp et al. (1980). As sensors, the SMT100 soil moisture sensors with integrated temperature measurement were used. All sensors were installed within the upper 50cm below ground. The exact depths for each sensor are listed in the dataset and parameter comment.
As part of PhytOakmeter (www.phytoakmeter.de), time-domain transmission, soil moisture and -temperature sensors with custom-made logger systems were used to measure time series of soil state variables. The aim of these investigations was to provide data on environmental properties used in a cross-disciplinary approach. The measurement device consisted of two sensors at three different depths. The dataset contains the values of time (UTC), relative permittivity, soil moisture (in % vol) derived from permittivity and soil temperature (in °C). Determination of soil moisture was done using the formula of Topp et al. (1980). As sensors, the SMT100 soil moisture sensors with integrated temperature measurement were used. All sensors were installed within the upper 50cm below ground. The exact depths for each sensor are listed in the dataset and parameter comment.
As part of PhytOakmeter (www.phytoakmeter.de), time-domain transmission, soil moisture and -temperature sensors with custom-made logger systems were used to measure time series of soil state variables. The aim of these investigations was to provide data on environmental properties used in a cross-disciplinary approach. The measurement device consisted of two sensors at three different depths. The dataset contains the values of time (UTC), relative permittivity, soil moisture (in % vol) derived from permittivity and soil temperature (in °C). Determination of soil moisture was done using the formula of Topp et al. (1980). As sensors, the SMT100 soil moisture sensors with integrated temperature measurement were used. All sensors were installed within the upper 50cm below ground. The exact depths for each sensor are listed in the dataset and parameter comment.
As part of PhytOakmeter (www.phytoakmeter.de), time-domain transmission, soil moisture and -temperature sensors with custom-made logger systems were used to measure time series of soil state variables. The aim of these investigations was to provide data on environmental properties used in a cross-disciplinary approach.The measurement device consisted of two sensors at three different depths. The dataset contains the values of time (UTC), relative permittivity, soil moisture (in % vol) derived from permittivity and soil temperature (in °C). Determination of soil moisture was done using the formula of Topp et al. (1980). As sensors, the SMT100 soil moisture sensors with integrated temperature measurement were used. All sensors were installed within the upper 50cm below ground. The exact depths for each sensor are listed in the dataset and parameter comment.
| Organisation | Count |
|---|---|
| Wissenschaft | 78 |
| Type | Count |
|---|---|
| Daten und Messstellen | 78 |
| License | Count |
|---|---|
| Offen | 78 |
| Language | Count |
|---|---|
| Englisch | 78 |
| Resource type | Count |
|---|---|
| Archiv | 1 |
| Datei | 77 |
| Topic | Count |
|---|---|
| Boden | 76 |
| Lebewesen und Lebensräume | 78 |
| Luft | 46 |
| Mensch und Umwelt | 78 |
| Wasser | 76 |
| Weitere | 78 |