cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.961135
title: Cloud Condensation Nuclei (CCN) concentrations at 0.3% supersaturation level measured in the Swiss container during MOSAiC 2019/2020

description: This dataset contains CCN concentrations at five supersaturation levels, averaged to 1 min time resolution, measured during the year-long Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition from October 2019 to September 2020. The measurements were performed in the Swiss container on the D-deck of Research Vessel Polarstern, using the model CCN-100 from Droplet Measurement Technologies (DMT, Boulder, USA). Detailed description of the measurement principle can be found in e.g. Roberts & Nenes (2005). The instrument was located behind an automated valve, which switched hourly between a total and an interstitial air inlet, with upper cutoff sizes of 40 and 1 µm respectively (Heutte et al., Submitted; Beck et al., 2022; Dada et al., 2022). The measurements were performed in 1-h cycles, with a 0.5 L/min sample flow and a 2 L/min make up flow, where the supersaturations 0.15, 0.2, 0.3, 0.5 and 1.0 % were measured. The supersaturation of 0.15 % is measured for 20 min, as it takes longer to equilibrate, and the remaining supersaturations were measured for 10 min each. The instrument was calibrated in July 2019 before the campaign, and in March and April 2020 during the campaign. Based on the inter-variability of the calculated supersaturation levels during these calibrations, we can expect values ranging from 0.15-0.20, 0.20-0.25, 0.29-0.33, 0.43-0.5, 0.78-1.0 % for the nominal supersaturations of 0.15, 0.2, 0.3, 0.5 and 1.0 %, respectively. The counting error for the CCNC is associated with the error in the optical counting of particles and is about 10 %. Data were removed during the cooling cycle (i.e., the time when the measurement cycle starts again and the temperature is cooled to set the lowest supersaturation), which corresponds roughly to the first 10 min of each hour (so 50 % of the 0.15 % supersaturation period). Additionally, the first minute of the transition between supersaturations was removed before averaging the data to 1 min time resolution. During some time periods, a difference pattern of mean and standard deviation of the measurements between even and odd hours was observed, most probably caused by a persistent pressure drop in the inlet lines, resulting in a proportional reduction of the concentration measurements. For correction, the 1-h arithmetic mean of interstitial inlet measurements and the mean of the two adjacent hours of total inlet measurements were subtracted, and the resulting difference was added as a constant to the data points of the interstitial inlet measurements. The dataset contains a pollution mask for local pollution (predominantly exhaust from the Research Vessel Polarstern) with 0 indicating clean, and 1 indicating polluted periods (Beck et al., 2022; Beck et al., 2022).
DOI: 10.1594/pangaea.961136
title: Cloud Condensation Nuclei (CCN) concentrations at 0.5% supersaturation level measured in the Swiss container during MOSAiC 2019/2020

description: This dataset contains CCN concentrations at five supersaturation levels, averaged to 1 min time resolution, measured during the year-long Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition from October 2019 to September 2020. The measurements were performed in the Swiss container on the D-deck of Research Vessel Polarstern, using the model CCN-100 from Droplet Measurement Technologies (DMT, Boulder, USA). Detailed description of the measurement principle can be found in e.g. Roberts & Nenes (2005). The instrument was located behind an automated valve, which switched hourly between a total and an interstitial air inlet, with upper cutoff sizes of 40 and 1 µm respectively (Heutte et al., Submitted; Beck et al., 2022; Dada et al., 2022). The measurements were performed in 1-h cycles, with a 0.5 L/min sample flow and a 2 L/min make up flow, where the supersaturations 0.15, 0.2, 0.3, 0.5 and 1.0 % were measured. The supersaturation of 0.15 % is measured for 20 min, as it takes longer to equilibrate, and the remaining supersaturations were measured for 10 min each. The instrument was calibrated in July 2019 before the campaign, and in March and April 2020 during the campaign. Based on the inter-variability of the calculated supersaturation levels during these calibrations, we can expect values ranging from 0.15-0.20, 0.20-0.25, 0.29-0.33, 0.43-0.5, 0.78-1.0 % for the nominal supersaturations of 0.15, 0.2, 0.3, 0.5 and 1.0 %, respectively. The counting error for the CCNC is associated with the error in the optical counting of particles and is about 10 %. Data were removed during the cooling cycle (i.e., the time when the measurement cycle starts again and the temperature is cooled to set the lowest supersaturation), which corresponds roughly to the first 10 min of each hour (so 50 % of the 0.15 % supersaturation period). Additionally, the first minute of the transition between supersaturations was removed before averaging the data to 1 min time resolution. During some time periods, a difference pattern of mean and standard deviation of the measurements between even and odd hours was observed, most probably caused by a persistent pressure drop in the inlet lines, resulting in a proportional reduction of the concentration measurements. For correction, the 1-h arithmetic mean of interstitial inlet measurements and the mean of the two adjacent hours of total inlet measurements were subtracted, and the resulting difference was added as a constant to the data points of the interstitial inlet measurements. The dataset contains a pollution mask for local pollution (predominantly exhaust from the Research Vessel Polarstern) with 0 indicating clean, and 1 indicating polluted periods (Beck et al., 2022; Beck et al., 2022).
DOI: 10.1594/pangaea.938496
title: Moisture and density data of sediment cores from Meteor cruise M167

description: Moisture And Density data (water content, bulk density and porosity) from sediment samples collected during the RV Meteor M167 expedition in the Gulf of Cadiz and Alboran Sea between 11.10.2020 and 05.11.2020. Samples were collected and weighted onboard, whereas the Moisture And Density parameters were measured at MARUM with a helium pycnometer.
DOI: 10.1594/pangaea.959352
title: Water isotopologues of near-surface polar snow from short (1-m) snow cores, extracted from the EastGRIP site on Greenland Ice Sheet during summers 2017-2019 with age-depth model (timeIndex_meanAccModel)

description: 1-day age-depth resolution snow profile isotope data (dD, d18O, dxs, dxsln) from EastGRIP, Greenland. An age-depth model has been applied based on when peak monthly temperatures occur. The results of this modeled snow age are called ageDepth in this data set. In the absence of constrained peak temperatures, a mean accumulation for the relevant time period was used for the age-depth model.
DOI: 10.1594/pangaea.959354
title: Water isotopologues of near-surface polar snow from short (1-m) snow cores, extracted from the EastGRIP site on Greenland Ice Sheet during summers 2017-2019 with age-depth model (timeIndex_manualConstModel)

description: 1-day age-depth resolution snow core isotope data (dD, d18O, dxs, dxsln) from EastGRIP, Greenland. An age-depth model has been applied based on when peak monthly temperatures occur. In the absence of constrained peak temperatures, a manual assignment of end date for the core was made based first on the mean accumulation for the relevant time period was used for the age-depth model and then the likely timing of the final d18O values.
DOI: 10.1594/pangaea.903151
title: Weather station (Meteo Buoy WeatherStation Instrument 150WX) measurements collected at the OBSEA underwater observatory buoy during December, 2011
DOI: 10.1594/pangaea.961724
title: Pore water geochemical data from southwest Greenland fjords
DOI: 10.1594/pangaea.962676
title: Hydrology data collected from Grab in southwest Greenland fjrods
DOI: 10.1594/pangaea.961725
title: Sediment Si-HCl, Si-Alk geochemical data from southwest Greenland fjord

description: Method description'Si-HCl content' indicates the content of HCl leached amorphous silica following a sequential extraction method from Michalopoulos and Aller (2004, doi:10.1016/j.gca.2003.07.018); Pickering et al. (2020, doi:10.1029/2020GL087877). 'Si-Alk content' indicates the content of mild alkaline (Na2CO3) leached amorphous silica following the sequential extraction method from Michalopoulos and Aller (2004, doi:10.1016/j.gca.2003.07.018); Pickering et al. (2020, doi:10.1029/2020GL087877).
DOI: 10.1594/pangaea.961024
title: δ18O of O2 from EPICA Dome C ice core (Antarctica) (0-800 ka)
DOI: 10.1594/pangaea.961722
title: Core incubation geochemical data from southwest Greenland fjords
DOI: 10.1594/pangaea.939352
title: Global fraction of lightning fires and burned area from lightning

description: This dataset contains the global fraction of lightning fires and burned area from lightning, and associated uncertainties, at 0.5 degree resolution. The dataset is representative for contemporary fire regimes (between 2001 and 2020). The dataset is based on a statistical model with three geospatial predictor variables: the seasonal correlation between lightning and burned area, the seasonal correlation between fire weather and burned area, and the fraction of low impact land. These variables are derivatives from remote sensing products. The statistical model was calibrated and validated with fire cause reference data from seven different parts of the world: USA including Alaska, Canada, Portugal, southern France, Yakutia (Russia), Victoria (Australia) and Tasmania (Australia). The statistical model explained 53 % of the variability in the reference data for the fraction of lightning fires, and 39 % for the burned area from lightning. All other relevant datasets from the study, processed to 0.5 degree resolution, are also provided. These include burned land, seasonal correlation between lightning and burned area, seasonal correlation between fire weather and burned area, low impact land, fire cause reference data, intact forests, fire-related forest loss, carbon combustion and future lightning projections.
DOI: 10.1594/pangaea.961723
title: Hydrology data collected from CTD in southwest Greenland fjrods
DOI: 10.1594/pangaea.945543
title: Snow stable water isotopes of a 0.5 cm deep surface transect at the EastGRIP deep drilling site, summer season 2018

description: Snow samples were taken on a daily basis along a 100 m wind-parallel transect at the EastGRIP ice core deep drilling site. The snow was collected in the morning at 11 positions with 10 m spacing into three cumulative samples – each for one depth interval. The depth intervals are top 0.5 cm, top 1 cm, and top 2 cm. Each day, undisturbed snow was sampled and the exact sample location was marked to avoid sampling disturbed snow during the next sampling event. The samples were shipped frozen to the Alfred-Wegener-Institut and stored at -25 °C. Prior to measurements, the samples were melted in the sample bags at room temperature. For the measurement of the isotopic composition, a Picarro L2130-i with a high-throughput vaporizer (model A0212) was used. The measurement set-up followed the Van-Geldern protocol. Each sample was injected four times and the standard deviation is computed. We calculate the average over all the standard deviations as a measure of uncertainty. We find this average to be 0.04 permil for δ18O (with stdev 0.02) and 0.13 permil for δD (stdev 0.07). The maximum standard deviation within the data set was found to be 0.14 for δ18O and 0.48 for δD. As a measure of accuracy, the offset between the defined and the measured value of the quality check standard for each measurement run is provided. We calculate the average of this offset for the whole data set and obtain a value of 0.07 permil for δ18O (stdev 0.03) and -0.11 permil for δD (stdev 0.08). The maximum offset found within the data set was 0.12 permil for δ18O and -0.25 permil for δD.
DOI: 10.1594/pangaea.947820
title: High resolution incubation measurements

description: Soil samples were taken in the bog site of the Siikaneva peat complex and adjacent shrub-belt and forest site in Ruovesi, Finland. Samples were characterized by measuring water content, bulk density, C and N content and further parameters. Samples were collected on 2020-10-22 and 2020-10-23. A subset of samples was taken for a 53 day incubation experiment at 20°C in June 2021. The aim was to measure microbial CO2 production rates of soil samples with varying soil characteristics and water contents to test and establish a new method for incubation measurements with high temporal resolution using a LI-7810. For further information on the method see https://ghg-in-permafrost.awi.de/ .Incubation measurement files contain single incubation measurements of about 10 to 20 minutes length with CO2 concentration measurements with a resolution of 1Hz conducted with a LICOR Trace Gas Analyzer (LI-7810). The data format is described here (section 3, page 5): https://www.licor.com/documents/zsce2z88fgkfpbiguqi0k3g537jllsl7 .
description: Data supplement to: GitHub: https://github.com/joschwrzr/High-Res-Incubation_modelFit online tool: https://ghg-in-permafrost.awi.de/
DOI: 10.1594/pangaea.955476
title: Equatorial Atlantic hydrographic and seawater sensor data collected during RRS James Cook cruise JC094 (processed ROV 1m depth bins downcast): dive 223

description: This data release includes sensor data collected from Remotely Operated Vehicle (ROV) sensors during a 2013 (October - November) research expedition onboard the RRS James Cook, JC094, in the Equatorial Atlantic Ocean. The JC094 TROPICS cruise was a fieldwork component of a European Research Council funded project, CACH ('Reconstructing abrupt Changes in Chemistry and Circulation of the Equatorial Atlantic Ocean: Implications for global Climate and deep-water Habitats') led by Prof. Laura Robinson from the University of Bristol to study paleoclimate archives in the Atlantic. Seventeen ROV dives were carried out. All downcast data have been binned by depth (1m intervals).
DOI: 10.1594/pangaea.955484
title: Equatorial Atlantic hydrographic and seawater sensor data collected during RRS James Cook cruise JC094 (processed ROV 1m depth bins downcast): dive 224

description: This data release includes sensor data collected from Remotely Operated Vehicle (ROV) sensors during a 2013 (October - November) research expedition onboard the RRS James Cook, JC094, in the Equatorial Atlantic Ocean. The JC094 TROPICS cruise was a fieldwork component of a European Research Council funded project, CACH ('Reconstructing abrupt Changes in Chemistry and Circulation of the Equatorial Atlantic Ocean: Implications for global Climate and deep-water Habitats') led by Prof. Laura Robinson from the University of Bristol to study paleoclimate archives in the Atlantic. Seventeen ROV dives were carried out. All downcast data have been binned by depth (1m intervals).
DOI: 10.1594/pangaea.962667
title: Annual patterns in algal pigment distribution in Arctic first year ice during the MOSAiC expedition 2019/2020

description: Algal pigment concentrations were retrieved from samples from first-year (FYI) ice, during the whole MOSAiC expedition (Multidisciplinary drifting Observatory for the Study of Arctic Climate) in 2019 to 2020. During MOSAiC, RV Polarstern anchored into an ice floe to gain new insights into Arctic climate over a full annual cycle. Sea ice data were collected starting with the onset of the study, at 85 degrees north and 137 degrees east, following the drift towards the Fram Strait, and returning to the North Pole in the last leg of the expedition. Ice cores were collected at the various coring sites together with teams ICE and BGC (Nicolaus et al. 2022), to study the development of pigment patterns over time, on 3 specific ice-locations. Altogether, 292 samples have been collected and analysed. Ice cores were sliced in sections of 5-10 cm before analyses. Each of the sections was melted at room temperature after additions of filtered ambient seawater, under dark conditions. After extraction in 90 % acetone, samples were analysed using high-performance liquid chromatography (HPLC) on a Waters system (AWI). Algal pigments contain a multiple set of information. Firstly, pigment concentrations can show the presence of algal biomass in the various domains sampled. Secondly, marker pigments can reveal seasonal and temporal dynamics in algal community structure, by discerning specific algal classes like diatoms, cryptophytes, haptophytes and chlorophytes that have specific roles in biogeochemical cycles. Thirdly, certain pigments are indicative of the (photo)-physiological state of micro-algae and fourth, degradation products of the main chlorophyll a pigment further give an indication about senescence and grazing in the various habitats.
DOI: 10.1594/pangaea.955490
title: Equatorial Atlantic hydrographic and seawater sensor data collected during RRS James Cook cruise JC094 (processed ROV 1m depth bins downcast): dive 229

description: This data release includes sensor data collected from Remotely Operated Vehicle (ROV) sensors during a 2013 (October - November) research expedition onboard the RRS James Cook, JC094, in the Equatorial Atlantic Ocean. The JC094 TROPICS cruise was a fieldwork component of a European Research Council funded project, CACH ('Reconstructing abrupt Changes in Chemistry and Circulation of the Equatorial Atlantic Ocean: Implications for global Climate and deep-water Habitats') led by Prof. Laura Robinson from the University of Bristol to study paleoclimate archives in the Atlantic. Seventeen ROV dives were carried out. All downcast data have been binned by depth (1m intervals).
DOI: 10.1594/pangaea.955494
title: Equatorial Atlantic hydrographic and seawater sensor data collected during RRS James Cook cruise JC094 (processed ROV 1m depth bins downcast): dive 230

description: This data release includes sensor data collected from Remotely Operated Vehicle (ROV) sensors during a 2013 (October - November) research expedition onboard the RRS James Cook, JC094, in the Equatorial Atlantic Ocean. The JC094 TROPICS cruise was a fieldwork component of a European Research Council funded project, CACH ('Reconstructing abrupt Changes in Chemistry and Circulation of the Equatorial Atlantic Ocean: Implications for global Climate and deep-water Habitats') led by Prof. Laura Robinson from the University of Bristol to study paleoclimate archives in the Atlantic. Seventeen ROV dives were carried out. All downcast data have been binned by depth (1m intervals).
DOI: 10.1594/pangaea.955505
title: Equatorial Atlantic hydrographic and seawater sensor data collected during RRS James Cook cruise JC094 (processed ROV 1m depth bins downcast): dive 232

description: This data release includes sensor data collected from Remotely Operated Vehicle (ROV) sensors during a 2013 (October - November) research expedition onboard the RRS James Cook, JC094, in the Equatorial Atlantic Ocean. The JC094 TROPICS cruise was a fieldwork component of a European Research Council funded project, CACH ('Reconstructing abrupt Changes in Chemistry and Circulation of the Equatorial Atlantic Ocean: Implications for global Climate and deep-water Habitats') led by Prof. Laura Robinson from the University of Bristol to study paleoclimate archives in the Atlantic. Seventeen ROV dives were carried out. All downcast data have been binned by depth (1m intervals).
DOI: 10.1594/pangaea.955506
title: Equatorial Atlantic hydrographic and seawater sensor data collected during RRS James Cook cruise JC094 (processed ROV 1m depth bins downcast): dive 233

description: This data release includes sensor data collected from Remotely Operated Vehicle (ROV) sensors during a 2013 (October - November) research expedition onboard the RRS James Cook, JC094, in the Equatorial Atlantic Ocean. The JC094 TROPICS cruise was a fieldwork component of a European Research Council funded project, CACH ('Reconstructing abrupt Changes in Chemistry and Circulation of the Equatorial Atlantic Ocean: Implications for global Climate and deep-water Habitats') led by Prof. Laura Robinson from the University of Bristol to study paleoclimate archives in the Atlantic. Seventeen ROV dives were carried out. All downcast data have been binned by depth (1m intervals).
DOI: 10.1594/pangaea.948552
title: Identifier of high resolution incubation measurements

description: Soil samples were taken in the bog site of the Siikaneva peat complex and adjacent shrub-belt and forest site in Ruovesi, Finland. Samples were characterized by measuring water content, bulk density, C and N content and further parameters (see Siikaneva_physicoChemical.csv). Samples collected: 2020-10-22 and 2020-10-23; a subset of samples was taken for a 53 day incubation experiment at 20°C in June 2021. The aim was to measure microbial CO2 production rates of soil samples with varying soil characteristics and water contents to test and establish a new method for incubation measurements with high temporal resolution using a LI-7810. Further information on the method: https://ghg-in-permafrost.awi.de/
DOI: 10.1594/pangaea.955508
title: Equatorial Atlantic hydrographic and seawater sensor data collected during RRS James Cook cruise JC094 (processed ROV 1m depth bins downcast): dive 235

description: This data release includes sensor data collected from Remotely Operated Vehicle (ROV) sensors during a 2013 (October - November) research expedition onboard the RRS James Cook, JC094, in the Equatorial Atlantic Ocean. The JC094 TROPICS cruise was a fieldwork component of a European Research Council funded project, CACH ('Reconstructing abrupt Changes in Chemistry and Circulation of the Equatorial Atlantic Ocean: Implications for global Climate and deep-water Habitats') led by Prof. Laura Robinson from the University of Bristol to study paleoclimate archives in the Atlantic. Seventeen ROV dives were carried out. All downcast data have been binned by depth (1m intervals).
DOI: 10.1594/pangaea.947819
title: Physical and chemical characteristics of soil samples

description: Soil samples were taken in the bog site of the Siikaneva peat complex and adjacent shrub-belt and forest site in Ruovesi, Finland. Samples were characterized by measuring water content, bulk density, C and N content and further parameters. Samples were collected on 2020-10-22 and 2020-10-23. A subset of samples was taken for a 53 day incubation experiment at 20°C in June 2021. The aim was to measure microbial CO2 production rates of soil samples with varying soil characteristics and water contents to test and establish a new method for incubation measurements with high temporal resolution using a LI-7810. For further information on the method see https://ghg-in-permafrost.awi.de/ .
description: Data supplement to: GitHub: https://github.com/joschwrzr/High-Res-Incubation_modelFit online tool: https://ghg-in-permafrost.awi.de/
DOI: 10.1594/pangaea.938469
title: Branched GDGTs analysed in the Loess Paleosol Sequence (LPS) of the Lingtai section