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Chlorin concentration of sediment core LV76-21
No full textThe sediment for chlorin determination was sampled in slices of 1 cm thick with a resolution of 1 cm. Chlorin content is the product of chlorophyll-a transformation in sediments and was measured using a Shimadzu UV-1650PC spectrophotometer according to the method used by (Harris et al., 1996) with modifications by (Zakharkov et al., 2007)
Magnetic susceptibility of sediment core LV76-21
No full textThe sediment magnetic susceptibility (MS) was measured onboard using a Satis Geo KM-7 kappameter at a resolution of 1 cm. Within 2 h after coring, the sediment core was split, and one half of core was used for the MS measurements. Values of the sediment MS are determined by concentration of terrigenous ferromagnetic material and of volcanogenic material as well
Daily coordinate time series for GPS stations on bedrock for Antarctica and the sub Antarctic sector, 1995-2021, reprocessed by the GIANT-REGAIN project
No full textIn Antarctica, solid earth deformation can be attributed to various processes, such as surface load variations mainly caused by present-day (elastic deformation) and past ice-mass changes (glacial isostatic adjustment) or tectonic processes. Several studies have already used geodetic GPS to derive bedrock motion in Antarctica, but they were limited to specific regions or time periods. The GIANT-REGAIN project (Geodynamics In ANTarctica based on REprocessing GNSS dAta Initiative) aimed to reprocess all available GNSS data in Antarctica from 1995 to 2021 consistently. This dataset presents the results of the reprocessing effort. The observational GPS data were processed individually by four processing centers: TU Dresden (TUD), Ohio State University (OSU), Newcastle University (NEWC), and University of Tasmania (UTAS), utilizing different geodetic GNSS software and analysis strategies. The coordinate time series were then combined to form a final time series for each GPS station. Accurate station information are essential for processing GPS coordinate time series with the highest precision and for making the time series geodynamically interpretable. Therefore, all relevant station information has been revised and validated, and the standardized IGS (International GNSS Service) log files are provided. External geodynamic or anthropogenic events can influence the coordinate time series. A list of events (e.g. nearby earth quakes) potentially influencing the coordinate trajectory is provided. Geodetic GPS time series processing involves estimating tropospheric parameters in the form of zenith tropospheric/total delay (ZTD). The time series of ZTD from the individual processings of NEWC, OSU, TUD and UTAS with subdaily resolution are provided
LegacyPollen2.0: an updated global taxonomically and temporally standardized fossil pollen dataset of 3680 palynological records
No full textThis data set consists of the taxonomically harmonized and temporally standardized fossil pollen data from 3680 records. 1122 records are located in North America, 1446 records in Europe, 687 records in Asia, 185 records in South America, 159 in Africa and 81 in the Indo-Pacific region. We expanded the previous version of the LegacyPollen 1.0 data set (Herzschuh et al., 2022; https://doi.org/10.5194/essd-14-3213-2022) with records from the Neotoma Paleoecology Database (https://www.neotomadb.org/; last access: August 31, 2022), ACER 1.0 database (Sánchez Goñi et al., 2017; https://doi.org/10.1594/PANGAEA.870867), Chinese fossil pollen dataset (Zhou et al., 2023, https://www.plant-ecology.com/CN/Y2023/V47/I10/1453 [in Chinese]; Cao et al., 2022, https://doi.org/10.1111/gcb.16274), and our own collection for the Asian sector. Taxonomic harmonization (i.e., woody taxa and major herbaceous taxa have been harmonized to genus level and other herbaceous taxa to family level) and temporal standardization (i.e., re-estimation of age-depth models) follow the previously established frameworks LegacyPollen 1.0 (Herzschuh et al., 2022; https://doi.org/10.5194/essd-14-3213-2022) and LegacyAge 1.0 (Li et al., 2022; https://doi.org/10.5194/essd-14-1331-2022), respectively. In compiling the dataset, we also followed the practices recommended by Flantua et al. (2023; https://doi.org/10.1111/geb.13693) for large-scale paleoecological data synthesis, such as how to select data sources and filter the dataset.
Compared to the LegacyPollen 1.0 dataset, we now include the Neotoma DOI (if Neotoma source) in the overview table of site metadata to eliminate the broken chain of static LegacyPollen 2.0 dataset with living (such as updating discovered metadata errors and chronologies) Neotoma and associated risk of data staleness. Furthermore, we also added the PANGAEA Event (PANGAEA dataset identifier) for each new record to ensure that our dataset meets PANGAEA's high standards for quality, usability, and compliance
Continuous thermosalinograph oceanography along RV HEINCKE cruise track HE622
No full textRaw data acquired by a thermosalinograph (SBE21, SeaBird GmbH) on board RV HEINCKE were processed to receive a calibrated and validated data set of seawater temperature and salinity. Data were downloaded from DAVIS SHIP data base (https://dship.awi.de) with a resolution of 1 sec. The SBE21 was equipped with an additional external temperature sensor (SBE38, Sea-Bird GmbH). Raw data are converted to temperature and conductivity values using the calibration coefficients from the calibration before deployment. However, data can only be finally processed after replacement and renewed calibration because correction values for the sensor drift can only be obtained by the post cruise calibration. The thermosalinograph on board RV HEINCKE is exchanged about once a year and calibration procedures are conducted after every exchange. Salinity was calculated according to the instructions from the Practical Salinity Scale PSS-78 using the obtained internal temperature and conductivity data. Processed data are provided as 1min means of salinity and seawater temperature aligned with position data taken from master track of the respective cruise. Quality flags are appended according to the SeaDataNet Data Quality Control Procedures (version from May 2010)
Continuous thermosalinograph oceanography along RV HEINCKE cruise track HE628
No full textRaw data acquired by a thermosalinograph (SBE21, SeaBird GmbH) on board RV HEINCKE were processed to receive a calibrated and validated data set of seawater temperature and salinity. Data were downloaded from DAVIS SHIP data base (https://dship.awi.de) with a resolution of 1 sec. The SBE21 was equipped with an additional external temperature sensor (SBE38, Sea-Bird GmbH). Raw data are converted to temperature and conductivity values using the calibration coefficients from the calibration before deployment. However, data can only be finally processed after replacement and renewed calibration because correction values for the sensor drift can only be obtained by the post cruise calibration. The thermosalinograph on board RV HEINCKE is exchanged about once a year and calibration procedures are conducted after every exchange. Salinity was calculated according to the instructions from the Practical Salinity Scale PSS-78 using the obtained internal temperature and conductivity data. Processed data are provided as 1min means of salinity and seawater temperature aligned with position data taken from master track of the respective cruise. Quality flags are appended according to the SeaDataNet Data Quality Control Procedures (version from May 2010)