cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.928949
title: Leakage propensity prediction based well activity and seismic data in the Central North Sea

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. Estimate Std. Error z value Pr(&gt;|z|) Significance Intercept 4,853.946 1,735.128 2.797 0.00515 0.01 Distance −0.007361 0.002700 −2.726 0.00640 0.01 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.
DOI: 10.1594/pangaea.894448
title: Nutrients measured on water bottle samples during G. O. Sars cruise GS2016109A in June 2016, at the Schultz Massif Seamount (Norwegian/Greenland Sea)

description: Using CTD .btl files for each cast, pressures were converted into depths shown here using UNESCO MS 44 (Fofonoff and Millard, 1983).
DOI: 10.1594/pangaea.903194
title: Weather station (Meteo Buoy WeatherStation Instrument 150WX) measurements collected at the OBSEA underwater observatory buoy during August, 2013
DOI: 10.1594/pangaea.961210
title: KOSMOS 2020 Peru mesocosm study on ecosystem responses to different light and upwelling intensities: HPLC pigment concentrations and phytoplankton community composition based on CHEMTAX analysis of water samples

description: This data is part of the BMBF project CUSCO (Coastal Upwelling Systems in a Changing Ocean). Here we report pigment concentrations and the phytoplankton community composition based on CHEMTAX analysis during a 35-day experiment, where we enclosed natural plankton communities in in-situ mesocosms off Peru. The experiment investigated the interactive effects of light and upwelling on the Humboldt upwelling ecosystem by mimicking a gradient of upwelling intensities (0%, 15%, 30%, 45% and 60%) under summer-time high light and winter-time low light. Integrated seawater samples from a depth between 0 and 10m were collected using a 5L Integrating Water sampler (IWS; Hydro-Bios, Kiel). To obtain pigment concentrations 0.15 – 1L of water sampled from the water column were filtered onto glass-fiber filters (precombusted at 450°C for 6h, GFF, 0.7 µm nominal pore size, Whatman) using a low vacuum of 200 mbar. Afterwards the filters were stored in cryovials at -80°C until analysis of photosynthetic pigments using reverse-phase high-performance liquid chromatography (HPLC) following (Barlow et al., 1997; doi:10.3354/meps161303) as described by (Paul et al., 2015; doi:10.5194/bg-19-5911-2022). The phytoplankton community composition was calculated with CHEMTAX, which classifies phytoplankton taxa based upon taxon-specific pigment ratios (Mackey et al., 1996; doi:10.3354/meps144265). The values for the Peruvian upwelling system determined by (DiTullio et al., 2005; doi:10.4319/LO.2005.50.6.1887) as described by (Meyer et al., 2017; doi:10.3389/fmars.2017.00001) were used as pigment ratios. As phytoplankton microscopy revealed high abundances of the raphydophite Fibrocapsa japonica, the initial pigment matrix was complemented by ratios for F. japonica from (Laza-Martinez et al., 2007; doi:10.1093/plankt/fbm069) from the Atlantic.
description: Mesocosm 10 describes the control sample from the PacificHPLC data for day3 - mesocosm3 was measured as triplicate and day 7 - mesocosm 9 as duplicate. The values provided are the averages of the measured replicates.
DOI: 10.1594/pangaea.908936
title: Wave measurements (Nortec AWAC 1 Mhz ADCP) collected at the OBSEA underwater observatory during October, 2012
DOI: 10.34740/kaggle/dsv/13712331
title: Ethereum Price Data Binance API (2017–Now)
DOI: 10.1594/pangaea.963462
title: KOSMOS mesocosm experiment Gran Canaria 2019 on testing the effect of nutrient composition (Si:N) during artificial upwelling: microzooplankton, mesozooplankton and toxins

description: Microzooplankton (microZP, protists) and mesozooplankton (mesoZP, metazoans) abundances and biomass as well as presence of domoic acid (DA, phycotoxin) during the mesocosm experiment in the Canary Islands in autumn 2019. Depth-integrated (0-2.5m) water samples were taken over the course of 33 days, in 2-day intervals for microZP and mesoZP and 4-day intervals for DA. MicroZP was assessed by Utermöhl light microscopy and its biomass estimated using biovolume to carbon conversion factors from the literature. MesoZP samples were split into three size fractions (55-200, 200-500 and &gt;500 µm), preserved with 70% ethanol and assessed under a stereo microscope. For biomass, mesoZP were measured in an element analyser. MesoZP data is provided for copepods only (dominant group) and all metazoan zooplankton combined (mainly copepods and appendicularians). For DA, particulate matter was filtered (&gt;0.7µm) and analysed via liquid chromatography and tandem mass spectrometry. The upwelling treatment started on day 6. Methodological details in Goldenberg et al. (doi:10.3389/fmars.2022.1015188) and Goldenberg et al. (under review).
DOI: 10.1594/pangaea.963467
title: KOSMOS mesocosm experiment Gran Canaria 2019 on testing the effect of nutrient composition (Si:N) during artificial upwelling: mesozooplankton trophic level and fish biomass and feeding

description: Mesozooplankton trophic position (via copepod δ15N) to approximate food web length as well as fish production (via biomass increase) and feeding rate (via stomach content) during the mesocosm experiment in the Canary Islands in autumn 2019. Copepods &gt;200µm were sampled depth-integrated (0-2.5m) on day 13. At this time, copepods represented the top of the food web as fish were not yet present. Individuals were picked in groups into tin capsules and δ15N measured in a mass spectrometer. Particulate organic matter(&gt;0.7µm) δ15N was also measured to calculate an autotroph baseline. The difference between copepod and autotroph δ15N was used as trophic level proxy. A small pelagic fish (silverside, Atherina presbyter) was introduced to the mesocosms on day 15. On day 18, for a subset of fish, stomachs content was assessed to estimate feeding success. On day 21, all fish were sampled for biomass and abundance. The upwelling treatment started on day 6. Methodological details in Goldenberg et al. (doi:10.3389/fmars.2022.1015188) and Goldenberg et al. (under review).
DOI: 10.1594/pangaea.963084
title: Benthic Chamber Lander stable isotope tracer experiments in the Cabo Verde Abyssal Basin (tropical East Atlantic)

description: A total of five deployments of a Benthic Chamber Lander were conducted at the Cabo Verde Abyssal Plain (tropical East Atlantic) at about 4200 m water depth. The deployments took place from the research vessel Sarmiento de Gamboa during the iMirabilis2 campaign in August 2021. Each deployment carried three functional chambers, one conducting a stable isotope tracer experiment, and two collecting background data. The stable isotope tracer used was axenically cultured and lyophilised diatoms (Phaeodactylum tricornutum) labelled with 13C and 15N. The experiment had a duration of 48 hours. The chamber carried an oxygen optode (Aanderaa 4330F) for continuous oxygen concentration measurements used to determine sediment community oxygen consumption (SCOC). During the experiment seven water samples were collected at hours T0.33, T2, T10, T19, T28, T37, and T46. The water samples were processed for oxygen concentration (Micro-Winkler Titration) as a second method to determine SCOC, Dissolved Inorganic Carbon (DIC and DI13C) concentration in order to calculate the substrate-derived respiration rate, and nutrients (NH4, NO2, NO3, PO4, Si) concentrations to determine nutrient fluxes. The sediments were sampled after lander recovery. Sediments were analysed for Total Organic Carbon (TOC and TO13C) in order to establish if injection was successful and get a carbon content sediment profile. Sediments were analysed for Phospholipid-derived Fatty Acid (PLFA) biomarkers including their 13C stable isotope signal, in order to calculate bacterial biomass and tracer incorporation during the incubation. Sediment samples for macrofauna, large Foraminifera, and meiobenthos were preserved in 4% buffered formaldehyde, then transferred to ethanol, until analysis. Meiobenthos was extracted using LUDOX density separation and a 32 µm mesh, and identified to 'Nematoda' and 'Other meiobenthos' for the 0-2 and the 2-5 cm sediment horizons, in order to calculate meiobenthic densities. Sediments for macrofauna and large Foraminifera were washed over a 300 µm mesh and picked for identification and determining densities. After identification, samples were dried at 45 °C until stable mass. For calcareous organisms, the sample was acidified, and dried at 45 °C again. Dried samples were analysed for dry mass, carbon and nitrogen content and stable isotope signals (13C, 15N). C and N incorporation rates were calculated from stable isotope signals.
DOI: 10.1594/pangaea.962782
title: KOSMOS mesocosm experiment Gran Canaria 2019 on testing the effect of nutrient composition (Si:N) during artificial upwelling: primary production, flow cytometry, photophysiology, internal nutrient storage and diatoms

description: In this study we investigated the effect of artificial upwelling with different Si:N ratios on a natural oligotrophic plankton community. Data on primary production, flow cytometry, photophysiology, internal nutrient storage, diatom size, diatom silicification and diatom carbon density from the mesocosms experiment conducted on the Canary Islands in autumn 2019. Values are depth-integrated averages in (mostly) 2-days intervals over the course of 33 days. The upwelling treatment started on day 6. All samples were depth integrated (0-2.5m). Oxygen production and respiration rates were measured through incubations and Winkler titrations. Flow cytometry and photophysiology samples were measured fresh. Parameters used for diatom per capita size, silicification and carbon density measurements were taken from the following published datasets on the same experiment: https://doi.org/10.1594/PANGAEA.954852 and https://doi.org/10.1594/PANGAEA.951417
DOI: 10.1594/pangaea.963781
title: KOSMOS mesocosm experiment Gran Canaria 2019 on testing the effect of nutrient composition (Si:N) during artificial upwelling: phytoplankton pigments and composition

description: Pigment concentration and pigment-based phytoplankton community composition data from the mesocosm experiment conducted in the Canary Islands in autumn 2019. Depth-integrated (0-2.5m) water samples were taken in 2-days intervals over the course of 33 days. One set of filters (one filter per sampling day and mesocosm) was analysed fluorometrically for Chl a. Another set of filters was analysed for a range of photosynthetic pigments using reverse-phase high-performance liquid chromatography (HPLC). Based on pigment concentrations, phytoplankton community composition was approximated using Chemtax v.1.95 with pigment ratios from Higgins et al. (2011, doi: 10.1017/CBO9780511732263.010). The input included Chl a, b, c2, and c3, peridinin, 19'-butanoyloxyfucoxanthin, fucoxanthin, neoxanthin, prasinoxanthin, violaxanthin, 19'-hexanoyloxyfucoxanthin, alloxanthin, and zeaxanthin. Divinyl Chl a was instead fully associated with Prochlorophyceae. The presence of the main phytoplankton groups is expressed in Chl a equivalents and their contribution to the phytoplankton community as percentage to total Chl a. The upwelling treatment started on day 6. Methodological details in Goldenberg et al. (doi:10.3389/fmars.2022.1015188).
description: The values marked with ? (HPLC day 19 mesocosm 1) must be errornous. Exclude from analysis.
DOI: 10.1594/pangaea.963590
title: KOSMOS 2018 Gran Canaria mesocosm study on artificial upwelling: suspended matter fatty acids, d15N stable isotopes and diatom dominance

description: Suspended matter fatty acid composition, nitrogen stable isotope ratios and diatom dominance of the phytoplankton community during the mesocosm experiment in the Canary Islands in autumn 2018. Depth-integrated (0-14 m) water samples were filtered (&gt;0.7µm). Chlorophyll a is based on HPLC. Particulate organic matter C, N and δ15N were measured with an element analyser and mass spectrometer. Diatom biovolume was measured by flow imaging analysis. Fatty acids (FA) composition of particulate matter was determined by gas chromatography. The upwelling treatment started on day 4. Methodological details in Ortiz et al. (2022) (doi:10.3389/fmars.2021.7431059), Baumann et al. (2021) (doi:10.3389/fmars.2021.742142) and Goldenberg et al. (under review).
DOI: 10.1594/pangaea.945680
title: Microbe quantification during short term anaerobic incubation measurements (CH4+CO2) from samples of Lena Delta collected in 2018

description: The data sets were made during the summer 2021, with samples collected from three cores, at two depths (active and permafrost layers). In total, six samples (3 replicates by samples) were incubated for 67 days at two temperatures (4°C and 20°C). Core sampling were performed during the joint Russian-German LENA 2018 expedition. This data set compiles microbial quantification (DNA extraction + qPCR) for methanotrophs and methanogenic archaea. Key genes coding for the enzyme methyl coenzyme-M reductase (mcrA) (Thauer 1998) and for the enzyme particulate methane monooxygenase (pmoA) (Theisen et Murrell 2005) were examined to identify methanogens and methanotrophs, respectively. Microbial quantification was monitored at 3 different times during the incubation. Samples were collected before the incubation, after 60 days of incubation and after glucose addition. Due to the pandemic, it has not been possible to perform microbial quantification for all the samples after the glucose treatment. DNA extractions were performed with a GeneMATRIX Soil DNA purification kit according to the manufacturer's protocol. Quantification of gene copy numbers was done with a SYBRGreen quantitative PCR (qPCR) assay using the KAPA SYBRFAST qPCR Master Mix (Sigma-Aldrich, Germany) on a CFX96 real-time thermal cycler (Bio-Rad Laboratories Inc., United States). The data was collected at Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research and GeoForschungsZentrum Helmholtz-Zentrum, Potsdam, Germany.
description: #999: below detection limit
DOI: 10.1594/pangaea.960024
title: Analysis of the high density fine fraction (HDF) from the nearshore zone of Herschel Island (Yukon, Canada)
DOI: 10.1594/pangaea.960023
title: Analysis of the low-density fraction (LD) from the nearshore zone of Herschel Island (Yukon, Canada)
DOI: 10.1594/pangaea.943299
title: Stable carbon isotopic compositions of intact polar lipids (IPLs) and core lipids (CLs) through the water column of Black Sea samples
DOI: 10.1594/pangaea.943368
title: Archaeal lipid concentration through the water column of Black Sea samples
DOI: 10.1594/pangaea.965370
title: Bulk total organic carbon content and its isotope composition and biomarker data of sediment core YC22_MR_7 off Herschel island (Yukon Coast 2022)

description: In July 2022 within the framework of an Alfred-Wegener-Institute-managed expedition and the Nunataryuk project, sediment core YC22_MR_7 was taken off the coast of Herschel Island, Canada, using a hand corer. Data sets were obtained to investigate carbon feedback from the sediments to the water column and atmosphere, using DIC concentrations and isotopic values. The local sediments are supplied primarily by organic carbon previously stored in adjacent permafrost soils (biomarker and bulk data), which erode and redeposit quickly (age model) on the ocean floor.The acquired data includes:1) Sediment data: Bulk total organic carbon content (Lamping et al., 2021) and its isotopic values for 13C (Brodie et al., 2011; Werner & Brand, 2001) and 14C (Mollenhauer et al., 2021).2) Biomarker data: Quantifying alkanes (CPI) , and fatty acids (TAR ratio) as described by Wei et al. (2020), Glycerol dialkyl glycerol tetraethers (GDGTs basis for BIT-Index) after Hopmans et al. (2016), Hopanes (fßß) following instructions by Meyer et al., (2019), and Sterols (Dinosterol) after Dauner et al. (2022).
DOI: 10.1594/pangaea.965375
title: Pore water data of sediment core YC22_MR_7 off Herschel island (Yukon Coast 2022)

description: In July 2022 within the framework of an Alfred-Wegener-Institute-managed expedition and the Nunataryuk project, sediment core YC22_MR_7 was taken off the coast of Herschel Island, Canada, using a hand corer. Data sets were obtained to investigate carbon feedback from the sediments to the water column and atmosphere, using DIC concentrations and isotopic values. The local sediments are supplied primarily by organic carbon previously stored in adjacent permafrost soils (biomarker and bulk data), which erode and redeposit quickly (age model) on the ocean floor.Porewater was extracted from the cores using rhizomes and quantified as described in Oni et al., (2015). Dissolved inorganic carbon isotope signatures were determined as CO2 for 13C (Torres et al., 2005) and 14C (Mollenhauer et al., 2021).
DOI: 10.1594/pangaea.966264
title: Intact polar lipid fatty acids carbon isotopic composition of sediment core YC22_MR_7 off Herschel island (Yukon Coast 2022)

description: In July 2022 within the framework of an Alfred-Wegener-Institute-managed expedition and the Nunataryuk project, sediment core YC22_MR_7 was taken off the coast of Herschel Island, Canada, using a hand corer. Data sets were obtained to investigate carbon feedback from the sediments to the water column and atmosphere, using DIC concentrations and isotopic values. The local sediments are supplied primarily by organic carbon previously stored in adjacent permafrost soils (biomarker and bulk data), which erode and redeposit quickly (age model) on the ocean floor.Intact polar lipid fatty acids were extracted from the sediments, purified, and 14C analysis was performed as described in Ruben et al. (2023). The 13C isotopy was determined with GC-IRMS (Elvert et al., 2003).
DOI: 10.1594/pangaea.965371
title: Pore water data of sediment core YC22_MR_6 off Herschel island (Yukon Coast 2022)

description: In July 2022 within the framework of an Alfred-Wegener-Institute-managed expedition and the Nunataryuk project, sediment core YC22_MR_6 was taken off the coast of Herschel Island, Canada, using a hand corer. Data sets were obtained to investigate carbon feedback from the sediments to the water column and atmosphere, using DIC concentrations and isotopic values. The local sediments are supplied primarily by organic carbon previously stored in adjacent permafrost soils (biomarker and bulk data), which erode and redeposit quickly (age model) on the ocean floor.Porewater was extracted from the cores using rhizomes and quantified as described in Oni et al., (2015). Dissolved inorganic carbon isotope signatures were determined as CO2 for 13C (Torres et al., 2005) and 14C (Mollenhauer et al., 2021).
DOI: 10.1594/pangaea.965391
title: Age model of sediment core YC22_MR_7 off Herschel island (Yukon Coast 2022)

description: In July 2022 within the framework of an Alfred-Wegener-Institute-managed expedition and the Nunataryuk project, sediment core YC22_MR_7 was taken off the coast of Herschel Island, Canada, using a hand corer. Data sets were obtained to investigate carbon feedback from the sediments to the water column and atmosphere, using DIC concentrations and isotopic values. The local sediments are supplied primarily by organic carbon previously stored in adjacent permafrost soils (biomarker and bulk data), which erode and redeposit quickly (age model) on the ocean floor.Sedimentary age model of core YC22_MR_7 assuming Constant Flux: Constant Sedimentation (CFCS) model (Appleby, 2001), based on data obtained with a HPGe gamma detector.
description: #0 stands for n.d.