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5.3 year time series of formation pore fluid pressure and temperature from IODP Hole 319-C0010A measured by GeniusPlug from 2010 to 2016
No full textOne primary objective of Integrated Ocean Drilling Program Expedition 365, conducted as part of the Nankai Trough Seismogenic Zone Experiment, was to recover a temporary observatory emplaced to monitor formation pore fluid pressure and temperature within a splay fault in the Nankai subduction zone offshore SW Honshu, Japan. Here we use a 5.3 year time series of formation pore fluid pressure, and in particular the response to ocean tidal loading, to evaluate changes in pore pressure and formation and fluid elastic properties induced by earthquakes. Our analysis reveals 31 earthquake‐induced perturbations. These are dominantly characterized by small transient increases in pressure (28 events) and decreases in ocean tidal loading efficiency (14 events) that reflect changes to formation or fluid compressibility. The observed perturbations follow a magnitude‐distance threshold similar to that reported for earthquake‐driven hydrological effects in other settings. To explore the mechanisms that cause these changes, we evaluate the expected static and dynamic strains from each earthquake. The expected static strains are too small to explain the observed pressure changes. In contrast, estimated dynamic strains correlate with the magnitude of changes in both pressure and loading efficiency. We propose potential mechanism for the changes and subsequent recovery, which is exsolution of dissolved gas in interstitial fluids in response to shaking
Continuous water level observations at station BEFmate_S10low, 2020-01 to 2021-04
No full textData presented here were collected between 2020-01 and 2021-04 at station BEFmate_S10low 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_S10pio, 2020-01 to 2023-09
No full textData presented here were collected between 2020-01 and 2023-09 at station BEFmate_S10pio 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 salinity observations at station BEFmate_S3pio, 2017-04 to 2017-12
No full textData presented here were collected between April 2017 to December 2017 in the BEFmate project (Biodiversity - Ecosystem Functioning across marine and terrestrial ecosystems) of the Universities of Oldenburg and Göttingen and the Nationalparkverwaltung 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). Salinity at different elevation zones was measured using conductivity loggers deployed in dip wells within experimental islands as well as in the saltmarsh enclosed plots. Measurements were obtained using HOBO U24 Conductivity Logger U24-002-C (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. Salinity was derived in HOBOware Pro using temperature-dependent, nonlinear seawater conductivity compensation following the Practical Salinity Scale (PSS-78). Subsequent data processing was done using MATLAB (R2024b). Post-processing and quality control included (a) the removal of data covering maintenance activities, (b) the removal of implausible values using fixe thresholds (salinity > 40 psu and 35 °C and < -5 °C), c) an outlier detection using the Hampel filter method, and (d) visual checks. Identified outliers were removed and synchronously removed across all associated parameters (temperature and salinity)
Radiosonde raw data measured during POLARSTERN cruise PS140, links to files
No full textThe meteorological observatory Polarstern continuously performs radiosoundings during times of ship operation. Typically, there is one launch to full altitude at 12 UTC every day. Additionally, there often is a launch with a smaller balloon for forecasting purposes (helicopter operations) around 6 UTC. All data published here is left "as recorded", no quality control was applied
Radiosonde raw data measured during POLARSTERN cruise PS143/1, links to files
No full textThe meteorological observatory Polarstern continuously performs radiosoundings during times of ship operation. Typically, there is one launch to full altitude at 12 UTC every day. Additionally, there often is a launch with a smaller balloon for forecasting purposes (helicopter operations) around 6 UTC. All data published here is left "as recorded", no quality control was applied
Continuous salinity observations at station BEFmate_S4low, 2019-09 to 2023-09
No full textData presented here were collected between 2019-09 and 2023-09 at station BEFmate_S4low 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). Salinity at different elevation zones was measured using conductivity loggers deployed in dip wells within experimental islands as well as in the saltmarsh enclosed plots. Measurements were obtained using HOBO U24 Conductivity Logger U24-002-C (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. Salinity was derived in HOBOware Pro using temperature-dependent, nonlinear seawater conductivity compensation following the Practical Salinity Scale (PSS-78). Subsequent data processing was done using MATLAB (R2024b). Post-processing and quality control included (a) the removal of data covering maintenance activities, (b) the removal of implausible values using fixe thresholds (salinity > 40 psu and 35 °C and < -5 °C), c) an outlier detection using the Hampel filter method, and (d) visual checks. Identified outliers were removed and synchronously removed across all associated parameters (temperature and salinity)
Raw pollen counts of MIS 11 from IODP Site 339-U1385, SW Iberian margin
No full textPollen-based vegetation reconstruction from IODP Site 339-U1385, drilled on the SW Iberian margin during IODP Expedition 339 (37°34.285′ N, 10°7.562′ W; 2578 m water depth). The studied interval, between ~435 and 363 ka, encompasses Marine Isotope Stage (MIS) 11 and provides a high-resolution record of vegetation and terrestrial climate variability in southwestern Europe. The dataset contains counts of all identified pollen and spore morphotypes, as well as the main ecological groups: Mediterranean forest (including Mediterranean sclerophylls and all temperate trees and shrubs, excluding Pinus, Cedrus and Cupressaceae), Mediterranean taxa s.s. (or sclerophylls), and semi-desert plants.
Pollen analysis: Holes E and D of Site 339-U1385 were sampled every 4 cm between 50.27 and 56.01 crmcd, with increased resolution (2 cm) between 54.50 and 56.01 crmcd during interglacial MIS 11c. Processing followed the standard protocol for marine samples: coarse sieving (150 µm mesh), sequential treatments with cold HCl (10-50 %) and cold HF (45-70 %) to remove carbonates and silicates, a final cold HCl (25 %) treatment to eliminate fluorosilicates, and micro-sieving at 10 µm. Residues were mounted unstained in glycerol. Pollen analysis of 164 samples was carried out using a Nikon light microscope at ×500 and ×1000 (oil immersion) magnification
Master track of ELISABETH MANN BORGESE cruise EMB345 in 1 sec resolution (zipped, 61 MB)
No full textRaw data acquired by position sensors on board RV Elisabeth Mann Borgese during expedition EMB345 were processed to receive a validated master track which can be used as reference of further expedition data. During EMB345 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 tracks in different resolutions of ELISABETH MANN BORGESE cruise EMB342, Rostock - Rostock, 2024-06-10 - 2024-06-17
No full textRaw data acquired by position sensors on board RV Elisabeth Mann Borgese during expedition EMB342 were processed to receive a validated master track which can be used as reference of further expedition data. During EMB342 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