Underway optical chlorophyll-a and turbidity data were collected along the cruise track with Sea-Bird Scientific ECO FLNTU sensors installed within two autonomous measurement containers, as part of the "Reinseewassersystem" (RSWS). The containers measure alternatingly. While one container is measuring, the other one is being cleaned. The boxes switched generally every 12 hours. The water inlet for the RSWS is at about 6.5 m below sea surface. Observed chlorophyll-a and turbidity data were both quality controlled. Analysis of the chlorophyll-a and turbidity data during parallel operation of the sensors in the two boxes showed significant differences between the sensors. The sensors were aligned resulting in consistent chlorophyll-a and turbidity time series. The corrected chlorophyll-a data were calibrated based on chlorophyll-a values from discrete water samples taken from a RSWS water outlet in the hangar. Samples were frozen and measured fluorometrically in the lab. The time series was separated into two sections, coastal and open ocean, which were calibrated independently. The turbidity time series was also compared to suspended particulate matter from water samples, however, correlation was low and therefore the comparison not used for calibrating turbidity. The calibrated chlorophyll-a time series and corrected turbidity time series were compared against Globcolour CHL1 and TSM products, respectively. Details on all quality control steps, the calibration, and the comparison with satellite data can be found in the data processing report. The data set user should keep in mind that some parts of the time series are likely affected by non-photochemical quenching, see data processing report. It was out of the scope of the quality control to flag or correct non-photochemical quenching. The resulting data set contains the original data and corresponding quality flags achieved by the quality control algorithm as well as the calibrated chlorophyll-a and corrected turbidity data with corresponding quality flags. The data source is given through the name of the active container. The data set contains data during transit time and station work. We recommend to use ship's speed to filter for only transit data.
The sea surface microlayer (SML) is the boundary layer on top of all oceans and is crucial for all exchange processes between the ocean and atmosphere. This less than 1 mm thick layer is heavily influenced by biological processes and events like algal blooms. To quantify the influence of an algal bloom in a controlled environment, we conducted a mesocosm study at the Sea sURface Facility (SURF) of the Institute for Chemistry and Biology of the Marine Environment (ICBM) in Wilhelmshaven, Germany (53.5148 °N, 8.1463°E). SURF is an 8.5 m long, 2 m wide and 1 m deep water basin, which can directly be filled with seawater from the Jade Bay, North Sea. The facility is equipped with a retractable roof, pumps for water circulation and dedicated mounts for multiple sensor systems. The mesocosm experiment was conducted from 18 May to 16 June 2023 as part of the project BASS (Biogeochemical processes and Air-sea exchange in the Sea-Surface microlayer). SURF was filled with seawater a few days before the start of the experiment (water depth 0.7 m). The water was then filtered and the surface skimmed to remove initial pollution. To prevent particle and microbial sedimentation during the experiment, the pumps operated at low speed to maintain gentle mixing of the water column. The roof of SURF was closed during the night, while it was open during the day except when it rained. To induce an algal bloom, a mix of nutrients (nitrogen, phosphorus and silicate) was added on 26 May, 30 May and 01 June. Based on the chlorophyll measurements which show the development of the bloom, three phases of the experiment were determined: the pre-bloom phase (18 May to 26 May), the bloom phase (27 May to 04 June) and the post-bloom phase (05 June to 16 June). Several physical, chemical and biological parameters were measured, which will be published in other datasets. To evaluate the impact of the algal bloom within the SML, oxygen concentration, pH, and temperature were measured in situ using microsensors (UNISENSE, Denmark) mounted on a MicroProfiling System (UNISENSE, Denmark). With this setup, direct in situ measurements inside both the thermal boundary layer and diffusion boundary layer at the sea surface can be made. One oxygen microsensor, two pH microsensors and three temperature microsensors were mounted on the microprofiler with their tips pointing upward to avoid disturbance in the SML. They were positioned a few centimeters apart. The microprofiler was used to automatically move the sensors down, from the air through the SML and into the underlying water over a total distance of 10 000 µm in steps of 125 µm (250 µm at the start of the experiment). At each depth, the sensors stayed for about 10 s, giving a mean value and a standard deviation over that time. Three of these measurements were taken at every depth before the sensor moved down to the next step. After completing a profile, the microprofiler returned to its initial position with the tips in the air to start the next profile. The resulting profiles mostly took between 40 to 50 minutes. These profiles were conducted continuously during day and night, except for small breaks to clean and if needed replace or readjust the sensors and recalibrate the pH sensors. The sensors' height required manual adjustment to position the tip precisely at the water surface (0 µm). Through this manual adjustment, small inaccuracies may occur. As a result, the sensor depth readings form the microprofiler system may not reflect the true sensor position, which can also vary between the sensors. The true sensor positions can later be obtained by analysing the measured profiles.
Total organic carbon (TOC) and mineral assemblages are key data sets determined to characterize marine sediments in terms of sediment provenances, processes, and depositional environments. In a comprehensive review and synthesis (Stein, 2008), such data were compiled for Arctic Ocean surface sediments and shown in nine selected distribution maps: four maps of clay minerals (illite, smectite, chlorite, and kaolinite), four maps of heavy minerals (amphibole, clinopyroxene, epidote, and garnet), and one TOC map. The data used to produce these maps, are represented in the three tables of this data report. For details in background information and methodology see primary source literature cited here as well as the Stein (2008) synthesis.
The autonomous surface vehicle HALOBATES measured Essential Climate Variables (ECV), such as sea surface temperature (SST) and salinity (SSS), during the RV Heincke cruise HE614 in the German Bight. HALOBATES captured the SST and SSS at seven depths with a high vertical resolution of about 10 cm, from the near-surface layer (NSL) (between 30 and 100 cm) and the sea surface microlayer (SML) (upper millimeter). Conductivity, temperature, and depth (CTD) sensors measured temperature and conductivity (for salinity calculation) via a flow-through system on HALOBATES. Additional temperature sensors were mounted underneath the catamaran to measure in-situ temperature in situ at six depths in the NSL. Salinity was corrected with discrete water samples to remove biases between the sensors. Two data loggers with several meteorological stations on the catamaran captured important weather variables during operation time. The surfactant concentration was measured from discrete samples of SML and 100 cm depth. HALOBATES was operated between 01 March 2023 and 22 March 2023.
The 234Th–238U disequilibrium technique has been widely used to estimate the amount of particulate organic carbon (POC) exported from surface ocean layers to the deep sea. This method is based on determining 234Th fluxes from vertical 234Th–238U profiles in the water column and converting them into POC fluxes using POC/234Th ratios measured in sinking particles at a given calculation depth. We present here an extensive repository of POC fluxes, together with Th fluxes and POC/234Th ratios. Covering all the global ocean, classified in 13 regions, season and moment of the bloom and calculated at three different depths: i) a fixed depth (100 m) ii) the reference depth in the paper associated to the base of the euphotic zone iii) the 234Th–238U equilibrium depth. To ensure a compilation representative of the global ocean, the dataset were selected using the division areas proposed by the international network JETZON (Joint Exploration of the Twilight Zone Ocean Network); that agreed a division of the oceans in 13 regions based on their contrasted physics and biogeochemical characteristics. The stations from 234Th publications associated to each JETZON region were carefully selected according to their ability to represent regional environmental conditions. Furthermore, station selection was based on essential criteria such as data quality and accessibility, availability of time series, clear definition of export depth, measurements from established programs, e.g. GEOTRACES, and the presence of other additional relevant ancillary data. The data in the compilation are thus organized by region and include geographic coordinates, season, selected export depth, and other key factors (such as a description of the flux evaluation depth or the export depth zone). After 234Th–238U compilation, 234Th fluxes were calculated, when possible, at the three different depths, i), ii) and iii), under the assumption of steady-state conditions, following Le Moigne et al. 2013. Using POC/234Th ratios, POC fluxes are estimated from Th fluxes and both fluxes were included in the repository. POC/234Th ratios were chosen from pump samples, prioritizing particles larger than 53 μm when available. These ratios must be estimated at the flux calculation depth [i), ii) and iii)]. When they were not available at the calculation depth POC/234Th values were interpolated as described in the readme text file. The values of the ratios are included in the repository, specifying the depth at which they were determined and indicating whether they have been interpolated. Similarly, when 234Th, 238U concentrations were not available at the calculation depth, values were interpolated (see readme text file).
This dataset contains biogeochemical variables measured during the same mesocosm experiment at Sea Surface Facility (SURF) in Wilhelmshaven, Germany (53.5148° N, 8.1461° E) in 2023. Variables include surfactants and nutrient concentrations, chlorophyll a, pigments, particulate and dissolved organic carbon and nitrogen, and several other biogeochemical parameters. These data complement the daily averaged physical parameters (PANGAEA DOI: https://doi.pangaea.de/10.1594/PANGAEA.983975) and together support the assessment of ecosystem and biogeochemical dynamics associated with the experiment, as described in the related publication Bibi et al., 2025.
Underway optical chlorophyll-a and turbidity data were collected along the cruise track with Sea-Bird Scientific ECO FLNTU sensors installed within two autonomous measurement systems, called self-cleaning monitoring boxes (SMBs). The SMBs measure alternatingly. While one box is measuring, the other one is being cleaned. The water inlet for the SMBs is at about 4 m below sea surface. Observed chlorophyll-a and turbidity data were both quality controlled and the chlorophyll-a data was additionally calibrated using chlorophyll-a reference data from discrete water samples taken from the CTD water sampler at 10 m depth. Sample chlorophyll-a was determined spectrophotometrically following Jeffrey and Humphrey (1975) as in EPA Method 446. Note that the ship crossed various biogeochemical provinces leading to high variability in the data and, additionally, non-photochemical quenching effects can be observed making it difficult to robustly calibrate the data. A comparison of the calibrated chlorophyll-a with satellite data using the GlobColour CHL1 and CHL2 products is additionally provided. Details on all quality control steps, the calibration, and the comparison with satellite data can be found in the data processing report. The resulting data set contains the original data, the calibrated data (in case of chlorophyll-a) and corresponding quality flags achieved by the quality control algorithm. The data source is given through the name of the active SMB. The data set contains data during transit time and station work. We recommend to use ship's speed to filter for only transit data.
Underway bio-optical sensor measurements of chlorophyll a and turbidity were acquired along the cruise track of RV MARIA S. MERIAN cruise MSM97/2. Measurements were collected with two autonomous measurement systems (RSWS), which are located at 6.5 m below the sea surface. Usually, the RWS-System with measuring container 1 and 2 (MC1 and MC2) interchanged after 6 hours. Only en route data was collected and quality controlled. No data from stationary measurements (in situ) were included. Quality Control specifically for biogeochemical measurements had been applied. For details to all processing steps see Data Processing Report.
This dataset contains daily averaged physical and chemical parameters measured during a mesocosm experiment conducted at Sea Surface Facility (SUR) in Wilhelmshaven, Germany (53.5148° N, 8.1461° E) in 2023. Parameters include daily average air temperature, Daily Average Incoming Solar Irradiance, Daily Average Reflected Solar Irradiance, and Daily Average Albedo derived from in situ measurements. The dataset provides an overview of environmental conditions throughout the experiment, supporting the interpretation of biogeochemical and ecological processes described in the related publication Bibi et al., 2025.
Cruise AL567 (R/V Alkor) sampled the water column in German territorial waters of the southwest Baltic Sea during 18-30 October 2021. This dataset contains concentrations of dissolved munition compounds from 88 Niskin bottle rosette casts between sea surface and seafloor. Samples were collected at the sea surface (1-2 m depth), approximately 2 m above the seafloor, and immediately below the pycnocline. Dissolved explosives in the samples were measured following Gledhill et al. (2019). Briefly, discrete samples (1 L) were preconcentrated onboard using solid-phase extraction. Target compounds were eluted with acetonitrile, further concentrated by evaporation, and measured by ultra-high performance liquid chromatography and high resolution heated electrospray ionization mass spectrometry.
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