GLORIA

GEOMAR Library Ocean Research Information Access

feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
  • Data  (221)
Document type
Source
Keywords
Publisher
Years
  • 1
    Publication Date: 2023-04-27
    Keywords: Black Sea; Center for Marine Environmental Sciences; Danube deep sea fan; DEPTH, sediment/rock; Device type; gas hydrate; GeoB22603-1; light hydrocarbons; M142; M142_03-1; MARUM; MeBo200; Meteor (1986); Methane; Method/Device of event; Optional event label; pore water; RV Meteor; Sample type; Submarine Gas Hydrate Resources; SUGAR; SUGAR project; δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 68 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 2
    Publication Date: 2023-04-27
    Keywords: Black Sea; Center for Marine Environmental Sciences; Danube deep sea fan; DEPTH, sediment/rock; Device type; gas hydrate; GeoB22620-1; light hydrocarbons; M142; M142_21-1; MARUM; MeBo200; Meteor (1986); Methane; Method/Device of event; Optional event label; pore water; RV Meteor; Sample type; Submarine Gas Hydrate Resources; SUGAR; SUGAR project; δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 12 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 3
    Publication Date: 2023-04-27
    Keywords: Black Sea; Center for Marine Environmental Sciences; Danube deep sea fan; DEPTH, sediment/rock; Device type; gas hydrate; GeoB22605-1; light hydrocarbons; M142; M142_06-1; MARUM; MeBo200; Meteor (1986); Methane; Method/Device of event; Optional event label; pore water; RV Meteor; Sample type; Submarine Gas Hydrate Resources; SUGAR; SUGAR project; δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 52 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 4
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Bahr, André; Pape, Thomas; Bohrmann, Gerhard; Mazzini, Adriano; Haeckel, Matthias; Reitz, Anja; Ivanov, Michael (2009): Authigenic carbonate precipitates from the NE Black Sea: a mineralogical, geochemical, and lipid biomarker study. International Journal of Earth Sciences, 98, 677-695, https://doi.org/10.1007/s00531-007-0264-1
    Publication Date: 2023-05-12
    Description: Carbonate precipitates recovered from 2,000 m water depth at the Dolgovskoy Mound (Shatsky Ridge, north eastern Black Sea) were studied using mineralogical, geochemical and lipid biomarker analyses. The carbonates differ in shape from simple pavements to cavernous structures with thick microbial mats attached to their lower side and within cavities. Low d13C values measured on carbonates (-41 to -32 per mill V-PDB) and extracted lipid biomarkers indicate that anaerobic oxidation of methane (AOM) played a crucial role in precipitating these carbonates. The internal structure of the carbonates is dominated by finely laminated coccolith ooze and homogeneous clay layers, both cemented by micritic high-magnesium calcite (HMC), and pure, botryoidal, yellowish low-magnesium calcite (LMC) grown in direct contact to microbial mats. d18O measurements suggest that the authigenic HMC precipitated in equilibrium with the Black Sea bottom water while the yellowish LMC rims have been growing in slightly 18O-depleted interstitial water. Although precipitated under significantly different environmental conditions, especially with respect to methane availability, all analysed carbonate samples show lipid patterns that are typical for ANME-1 dominated AOM consortia, in the case of the HMC samples with significant contributions of allochthonous components of marine and terrestrial origin, reflecting the hemipelagic nature of the primary sediment.
    Keywords: BS346GR; Center for Marine Environmental Sciences; Dolgovskoy mound; GeoB9908-1; MARUM; Professor Logachev; Television-Grab; TTR-15; TVG
    Type: Dataset
    Format: application/zip, 4 datasets
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 5
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Haffert, Laura; Haeckel, Matthias (2019): Quantification of non-ideal effects on diagenetic processes along extreme salinity gradients at the Mercator mud volcano in the Gulf of Cadiz. Geochimica et Cosmochimica Acta, 244, 366-382, https://doi.org/10.1016/j.gca.2018.09.038
    Publication Date: 2023-01-13
    Description: Presented is an example of the transport-reaction code (TRACTION) applied to the simulation of pore water species in the seawater mixing zone at Mercator Mud volcano in the Gulf of Cadiz. TRACTION was specifically designed to account for non-ideal transport effects in the presence of thermodynamic (e.g. salinity or temperature) gradients. The model relies on the most fundamental concept of solute diffusion, which states that the chemical potential gradient (Maxwell's model) rather than the concentration gradient (Fick's law) is the driving force for diffusion. In turn, this requires accounting for species interactions by applying Pitzer's method to derive species chemical potentials and Onsager coefficients instead of using the classical diffusion coefficients. Electrical imbalances arising from varying diffusive fluxes in multicomponent systems, like seawater, are avoided by applying an electrostatic gradient as an additional transport contribution.
    Type: Dataset
    Format: application/zip, 1.4 MBytes
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 6
    Publication Date: 2023-02-24
    Description: The SUGAR Toolbox contains scripts coded in MATLAB for calculating various thermodynamic, kinetic, and geologic properties of substances occurring in the marine environment, particularly gas hydrate and seep systems. Brief descriptions of the toolbox scripts and some notes on the underlying basic theory as well as tables of additional property values can be found in the accompanying documentation.
    Keywords: GEOMAR; Helmholtz Centre for Ocean Research Kiel
    Type: Dataset
    Format: application/zip, 3.4 MBytes
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 7
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Kossel, Elke; Bigalke, Nikolaus; Piñero, Elena; Haeckel, Matthias (2013): The SUGAR Toolbox - A library of numerical algorithms and data for modelling of gas hydrate systems and marine environments. GEOMAR Report (N. Ser.), 8, 160 pp., https://doi.org/10.3289/geomar_rep_ns_8_2013
    Publication Date: 2023-02-24
    Description: The SUGAR Toolbox contains scripts coded in MATLAB for calculating various thermodynamic, kinetic, and geologic properties of substances occurring in the marine environment, particularly gas hydrate and seep systems. Brief descriptions of the toolbox scripts and some notes on the underlying basic theory as well as tables of additional property values can be found in the accompanying documentation.
    Keywords: GEOMAR; Helmholtz Centre for Ocean Research Kiel
    Type: Dataset
    Format: application/zip, 3.7 MBytes
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 8
    Publication Date: 2023-02-24
    Description: Source data of the North Sea well inventory: United Kingdom (UK)- Oil and Gas Authority (Dec. 2018) - https://data-ogauthority.opendata.arcgis.com/datasets/oga-wells-ed50 Contains information provided by the OGA. Wells are extracted for the area of the PGS data set PGS Mega Survey Plus. We measured the distance between all wells of the test group (n = 43) and all those who are within the seismic data set (n = 1,792; presented here) and their closest bright spot with polarity reversal. Furthermore, we calculated the mean RMS amplitudes and RMS amplitude standard deviation for a buffer radius of 300 m around the well paths for all wells inside the seismic data set and the visited wells as 300 m is the distance below which all of the visited wells of the test group showed gas release in form of flares from the seafloor. We test, if the propensity of a well to leak can be identified by using a logistic regression, which includes regressors such as well activity data and/or derived parameters such as mean RMS amplitude and mean RMS amplitude standard deviation, the distance towards the most proximal bright spot with polarity reversal and age (spud date). In order to identify the most suitable regressor combination best subset selection is employed. The main selection criterion chosen was the prediction accuracy from randomly and repeatedly splitting the visited wells into a training and a test set and then using the fitted logistic regression to predict the test data. The most suitable subset turns out to only employ the distance to polarity reversal, producing a prediction accuracy of 89% and the following logistic regression results: In order to obtain confidence intervals using the normal distribution the distance to bright spot with polarity reversal has to be normally distributed, which it is not. Yet it can be transformed to normality by adding 100 meters to the original distance and then taking the natural logarithm: Logistic regression fit for leakage of all visited wells using distance to bright spot with polarity reversal in meters as a regressor. Please find further information on the applied statistical analyses in the supplementary material. EstimateStd. Errorz valuePr(〉|z|)Significance Intercept4,853.9461,735.1282.7970.005150.01 Distance−0.0073610.002700−2.7260.006400.01 The transformed logistic regression model is then used to predict the probabilities of leakage for the wells within our seismic data set in the Central North Sea (here presented data). In order to obtain confidence bands this logistic regression is performed subtracting and adding two standard deviations from the calculated probability. The point estimate predicts leakage from 926 of the 1,792 wells, where the 95% confidence interval ranges from 719 to 1,058.
    Keywords: Central North Sea; decommissioned wells; Methane leakage; methane quantification; Model; North Sea; NorthSea_well; seismic data; STEMM-CCS; Strategies for Environmental Monitoring of Marine Carbon Capture and Storage; Water column imaging data; well integrity
    Type: Dataset
    Format: application/zip, 359 kBytes
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 9
    Publication Date: 2023-02-24
    Keywords: Barium; Benthic flux chamber; BFC; Boron; Bottle, Niskin 5-L; Calcium; Date/Time of event; DEPTH, sediment/rock; DIVER; ECO2; ECO2-3; ECO2-3-FLUCHAM-1a; ECO2-3-FLUCHAM-1b; ECO2-3-FLUCHAM-1c; ECO2-3-FLUCHAM-2a; ECO2-3-FLUCHAM-2b; ECO2-3-FLUCHAM-2c; ECO2-3-NIS-1; ECO2-3-NIS-2; ECO2-3-NIS-3; ECO2-3-PW-1; ECO2-3-PW-2; ECO2-3-PW-3; ECO2-3-PW-4; ECO2-3-PW-5; ECO2-3-PW-6; ECO2-3-PW-7; ECO2-3-PW-8; ECO2-3-PW-9; ECO2-3-Seagras-1a; ECO2-3-Seagras-1b; ECO2-3-Seagras-2a; ECO2-3-Seagras-2b; ECO2-3-Seagras-3a; ECO2-3-Seagras-3b; ECO2-3-Seagras-4; ECO2-3-Seagras-5; ECO2-3-Seagras-6; Error, relative; Event label; ICP-AES, Inductively coupled plasma - atomic emission spectroscopy; Iron; Latitude of event; Lithium; Longitude of event; Magnesium; Manganese; NIS_5L; Panarea; Potassium; Sampling by diver; Silicon; Sodium; Strontium; Sub-seabed CO2 Storage: Impact on Marine Ecosystems
    Type: Dataset
    Format: text/tab-separated-values, 1631 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 10
    Publication Date: 2023-04-27
    Description: Data for estimating heat flow in the western Black Sea are provided, based on measurements made during Expedition MSM34 (R/V Maria S. Merian). Data are located in the Bulgarian and Romanian Sector of the Black Sea in water depths ranging from 420 to 1500 m. Data were always collected with the GEOMAR-owned 6 m long heat-probe tool, consisting of 22 Thermistors (at 26 cm spacing) along a sensor-string, a reference pressure gauge and calibration thermometer (T100 sensor). Raw data are required to be calibrated relative to the T100 sensor. Calibration data for both expeditions are provided in form of temperature offsets for each thermistor. Data provided include per station all original (raw) data for each deployment (temperature as function of time, pressure/Depth) for each thermistor, as well as initial results after separating each individual measurement sequence into penetration files (pen-files) where the temperature calibration has been applied. Results report an average thermal Gradient, heat-flux and thermal conductivity over the total penetraiton Depth of 6m. Detailed information (temperature and thermal conductivity as function of depth at each location) is given in graphical form as well as ascii data per individual penetration.
    Keywords: Black Sea; Comment; Conductivity, thermal; Depth, bathymetric; Event label; File content; File format; File name; File size; heat flow; Heat flow; Heat-Flow probe; HF; LATITUDE; LONGITUDE; Maria S. Merian; MSM34/2; MSM34/2_003-1; MSM34/2_028-1; MSM34/2_029-1; MSM34/2_030-1; MSM34/2_031-1; MSM34/2_032-1; MSM34/2_033-1; MSM34/2_034-1; MSM34/2_035-1; MSM34/2_036-1; MSM34/2_037-1; MSM34/2_038-1; MSM34/2_044-1; MSM34/2_045-1; MSM34/2_046-1; MSM34/2_047-1; MSM34/2_048-1; MSM34/2_049-1; MSM34/2_050-1; MSM34/2_067-1; MSM34/2_068-1; MSM34/2_069-1; MSM34/2_070-1; MSM34/2_071-1; MSM34/2_072-1; MSM34/2_072-2; MSM34/2_073-1; MSM34/2_076-1; MSM34/2_077-1; MSM34/2_078-1; MSM34/2_079-1; MSM34/2_080-1; MSM34/2_081-1; MSM34/2_082-1; MSM34/2_083-1; MSM34/2_084-1; MSM34/2_085-1; MSM34/2_086-1; MSM34/2_087-1; MSM34/2_088-1; Sample code/label; Station label; Temperature gradient; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 442 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...