ALBERT

Description: This is a dataset that has been acquired in 1995 as part of the U.S.-ROC Deep Seismic Imaging Study of the Taiwan Arc-Continent Collision (TAICRUST) project. This particular line was measured in the Taiwan Strait in September 1995 to image the shallow sediments and upper crust. Additional information from the Cruise EW9509 is stored at the Marine Geoscience Data System (MGDS).

Description: This entry contains two datasets from marine sediment core GeoB16204-2. While one dataset hosts geochemical (i.e., iron, titanium, calcium, ln(Fe/Ca), ln(Ti/Ca), calcium carbonate, total organic carbon, total nitrogen, stable hydrogen isotopic composition of C29 long-chain n-alkanes) and physical (i.e., porosity, wet bulk density, dry bulk density, fragmentation index, mass accumulation rate of the siliciclastic fraction and mass accumulation rate of the calcium carbonate fraction) data, the other hosts radiocarbon data.

Description: The Snow and Ice Mass Balance Array (SIMBA) is a thermistor string type IMB (Jackson et al., 2013) which measures the environment temperature SIMBA-ET and temperature change around the thermistors after a weak heating applied to each sensor (SIMBA-HT). Totally, there were 22 SIMBAs deployed in the Arcitic Ocean over the Distributed Network (DN) and the Central Observatory during the Legs 1a, 1 and 3 of the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) campaign. The SIMBA thermistor chain is 5.12 m long, and equipped with 256 thermistors (Maxim Integrated DS28EA00) at 0.02 m spacing. Based on a manual identification method, the SIMBA-ET and SIMBA-HT were processed to yield snow depth and ice thickness. Here, we combined the two optimal methods (the ET vertical gradient and HT rise ratio) to reduce the uncertainty. To keep the consistency, we use the snow or ice surface, consequentially the snow depth, determined by the ET vertical gradient. The formations of snow ice and superposed ice are not considered in this data set. That is to say, the value of snow depth includes the layers of snow ice at two sites (2019T56 and 2019T72). The superposed ice was generally negligible. We used the HT rise ratio to determine the ice-water interface, consequentially the ice thickness. Overall, the measurement accuracy was 0.02 m for both the snow depth and ice thickness. After the snow cover melted over, the negative values for the snow depth indicate the onset of ice surface melt. The submitted data package include 19 data files (for each buoy) and 1 buoy information file.

Description: By combining environmagnetic, geochemical, and siliciclastic grain size data, we investigated marine sediment core GL‐1090 (24.92°S, 42.51°W, 2225 m water depth) aiming to unravel changes in terrigenous sediment input and bottom water conditions during the last ∼184 ka at the western South Atlantic mid‐depth. This dataset contains: Clay/Silt ratio, Fe/kappa ratio, Magnetic Parameters (Anhysteretic remanent magnetization (ARM300), Isotermal Remanent Magnetization (IRM300) and Hard-IRM), S-Ratio, Volume Magnetic Suceptibility, xARM/IRM ratio and EDP-Calibrated XRF data from marine sediment core GL-1090.

Description: Marine sediment core GL-1248 was collected from the continental slope off northern northeastern Brazil by Petrobras oil company. Sediment samples (154 in total) were collected with 2 cm wide scoops at every 10 cm from the uppermost 16 m (covering the the last 113 thousand years) of the marine sediment core GL-1248. Samples were oven‐dried at 60°C, precisely weighted to 0.5 g and treated with H2O2 27% and HCl 10% to remove organic matter and calcium carbonate, respectively. The remaining content was diluted in alcohol and three aliquots per sample were mounted on stainless steel discs with four drops of the homogenized solution of alcohol and silt/clay sediments. GL-1248 luminescence measurements were performed on an automated Lexsyg Smart TL/OSL reader equipped with blue and infrared LEDs, Hoya U-340 filters for light detection in the ultraviolet band (270-390 nm) using a photomultiplier and beta radiation sources (90Sr/90Y) with doses rate of 0.116 Gy s-1 at the Luminescence and Gamma Spectrometry Laboratory of the Institute of Geosciences, University of São Paulo, Brazil. The sensitivity representative of the 110°C thermoluminesce (TL) peak of quartz considered the 80–120°C integration range from the TL curve. The 80-120°C TL sensitivity was calculated as a percentage of the total TL emission (0-250°C) and using the background TL curve. The mean of three measured aliquots represents the TL sensitivity of each sample. The OSL sensitivity was calculated by integrating the first second of light emission and the last ten seconds as background. GL-1248 TL sensitivity data were compared to previously published data obtained from marine sediment core GeoB16206-1 (https://doi.org/10.1594/PANGAEA.904357). Marine sediment core GeoB16206-1 was analyzed in a different luminescence reader (i.e. RisØ OSL/TL DA-20 reader) and using different regeneration dose. In order to avoid machine artifacts and the influence of dose size on sensitivity, we normalized the TL data output from both marine sediment cores and produced a composite record. Name of the Campaign: collected by the Petrobras oil company Event Label: GL1248 (GL-1248) Method: quarzt luminescence sensitivity Latitude: -0.920000 Longitude: -43.401667 Elevation: -2,264 m

Description: Data presented here were collected between January 2021 to December 2021 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 Meteo-Online (V4.5.0.20253) 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 (R2018a). 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.

Description: This collection contains permafrost related measurements in the Mackenzie Delta, NWT, Canada from the MOSES (Modular Observation Solutions for Earth Systems) field campaign in September 2021. The field campaign was focused on three subaquatic sites: a small thermokarst lake along the ITH just south of Trail Valley Creek, "Lake 3", an elongated lake with known methane occurence in the outer Mackenzie Delta, "Swiss Cheese Lake", and north and south of Tuktoyaktuk Island. At "Swiss Cheese Lake", we measured methane and CO2 concentrations in surface water and in the air above the lake, lake bed temperatures and detailed bathymetry. At "Lake 3" we measured active layer thickness on the lake banks, lake bed temperatures, and detailed bathymetry, as well as an ERT survey to estimate the talik depth below the lake. North and south of Tuktoyaktuk Island, we measured active layer thickness and sea bed temperatures and did an extensive ERT survey to obtain the depth of the subsea permafrost table. An additional passive seismic survey was carried out and the data is available at https://doi.org/10.5880/GIPP.202199.1.

Description: The dataset comprises data on the lipid composition (carboxylic acids and alkanols) and stable isotope values (δ13C and δ15N) obtained from fresh stomach oils and sub-stomach oil deposits of snow petrels (Pagodroma nivea). The samples were collected in different un-glaciated regions of East Antarctica (Dronning Maud Land, Mac. Robertson Land, Prince Charles Mountains and Windmill Islands). The stomach oils and sub-fossil stomach oil deposits were analyzed to investigate the paleodiet of the birds and to relate information of paleodiet to past environmental conditions. The alkanoic acids and alkanols were analysed from total lipid extracts by capillary gas chromatography with GC-FID (Gas chromatograph with Flame ionization detector) and GC-MS (single quadrupole mass spectrometer coupled with gas chromatograph). Total lipid extracts were analysed for the δ13C isotopic composition. The un-soluble residues, retained after lipid extraction, was analysed for δ13C and δ15N isotopic composition. This work was funded by the Deutsche Forschungsgemeinschaft (DFG) in the framework of the priority program "Antarctic Research with comparative investigations in Arctic ice areas" (grants BE 4764/5-1 and BE 4764/6-1).

Description: The dataset is based on 50 soft carbonate sediment samples from the reef island Barrang Lompo in the Spermonde Archipelago, Sulawesi, SE Asia. The subsurface samples were obtained by percussion drilling at 5 coring locations on the island. From each coring location, 10 samples were retrieved in 1 m intervals, thus providing samples from a maximum depth of 10 m below surface at each site (1 m, 2 m, ..., 10 m) using percussion drilling (jackhammer: WACKER BH 23, Wacker Neuson SE, probe: direct push corer with internal liner (1m length & 46 mm diameter)). Samples were taken from lowest 10 cm of probe. Examples: BL1-1 is sample from location BL1 in depth interval 90-100 cm. BL4-7 is sample from location BL4 in depth interval 690-700 cm. Laboratory data was collected between 2019 and 2021. The provided dataset contains grain size (raw and processed data; using GRADISTAT by Blott & Pye, 2001), skeletal component analysis (counting of fragments, 500 per sample; raw data) and facies determination (based on grain size and skeletal composition) of each sample. Additionally, the dataset provides raw and calibrated radiocarbon ages from 20 selected samples (calibration curve by Heaton et al. 2020; marine reservoir correction by Southon et al. 2002; calibration tool OxCal v4.4 by Bronk Ramsey, 2009). For the radiocarbon analyses, picked and pooled foraminifera of the genus Calcarina were chosen. These 20 samples were furthermore classified in terms of abrasion (1=very good preserved,... 4=very poorly preserved), following suggestions by Fellowes et al. 2017. The calibrated ages cover the earlier to late Holocene (~7,000 to 2,000 years BP). The collected data provides information of reef-derived sedimentation in the Holocene in the Spermonde Archipelago. It provides insight into the ecological background and the origin of the skeletal sediments.