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    Biogeochemical and radiocarbon data of sediment core PG2420 (Lake Goltsovoye, Bykovsky Peninsula, Arctic Siberia)

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    The dataset describes a 5 m long sediment core taken from beneath thermokarst lake Goltsovoye Lake on the Bykovsky Peninsula, northeastern Siberia. Core location: N 71.74530 E 129.30243. The data represent biogeochemical parameters of sediment core PG2420. Biogeochemical analyses include total organic carbon (TOC) content and stable carbon isotopes (δ13C). δ13C was measured for samples with TOC > 0.1 wt %. The data also include radiocarbon measurements. Calibrated and rounded calibrated ages are presented. Calibrations were performed according to Stuiver et al. (2017) using CALIB 7.1 software and the IntCal13 calibration curve. To all data, the vertical position in the sediment core is given in cm (midth of sample) measured from the ice surface on top of the lake. Depth from ice surface to sediment surface was 510 cm

    Clearance rate of vulnerable marine ecosystem (VME) indicator taxa from Norway, Acesta excavata, Lophelia pertusa, Geodia barretti, Phakellia ventilabrum and Stryphnus sp

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    Clearance rate was measured for Acesta excavata, Lophelia pertusa, Geodia barretti, Phakellia ventilabrum and Stryphnus sp. under laboratory conditions at the Austevoll research station from the Institute of Marine Research, Norway between February and June 2018. The different species were given natural occurring seston in flow-through systems, as described in Strohmeier et al. (2009) under different flow speeds. Particle amount in the water entering and exciting the experimental system was measured using a particle counter system (PAMAS Partikelmess- und Analysesystem) and flow cytometry. G. barretti and Stryphnus sp. specimens were collected from Nakken reef (59°49'53" N, 5°33'44" E DMS) and Langenuen Fjord (60°00'37" N, 5°19'14" E DMS). The sponge P. ventilabrum was collected from Korsfjorden (60º9'46.8" N, 05º10'24" E DMS). L. pertusa and A. excavata were collected from the Nakken reef (59°49'53" N, 5°33'44" E DMS)

    B-values of wet sample s05 from the Three Gorges Reservoir, China

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    Semi-quantitative macroalgae survey on abundance and lower depth distribution of dominant brown algal species collected at Hansneset, Kongsfjorden, Spitsbergen in 2021

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    Surveys were performed of abundance and lower depth distribution of biomass dominant brown algae species at Hansneset, Blomstrand in Kongsfjorden, Svalbard, between 3 m and 19 m depth in June 2021. This dataset is part of a time series currently spanning over 25 years and complements the studies conducted in 1996/98 (Hop et al., 2012, doi:10.1515/bot-2012-0097) and 2012-14 (Bartsch et al., 2016, doi:10.1007/s00300-015-1870-1). The aim was to document changes in Arctic kelp forests dynamics in an Arctic fjord system influenced by glacial melt by repeatedly sampling the same site in a standardized manner. As ocean temperatures in the Arctic have risen substantially and underwater light climate continuously deteriorated over this time period alterations were observed in the seaweed community, especially kelps as major coastal foundation species. The depth distribution of biomass dominant brown algae was semi-quantitatively (visually) investigated by scientific divers in five parallel transects off the coastline covering the vertical gradient between 3 m and 19 m depth. For each replicate a 1x1 m quadrat divided into four 50 x 50 cm subquadrats was placed on the ground or above the kelps at every depth meter along the transect and species occurrence was documented as attached frequency within each subquadrat. This resulted in a relative frequency of 0 - 4 per replicate (Frequency count). Additionally, the visual presence of the species in the close surroundings of each replicate was documented 0 or 1 (Additional Presence). In summary this generates in a maximum presence score of 5 for each species per replicate. The target replication was five transects per depth. All depths were corrected to chart datum and resulted in n = 5 for each depth and species, except for 11 m where it was n = 4. The presence (1) or absence (0) of rocks, pebbles, and/or sand was also documented

    Daily observed, modelled, and infilled river flows for an Irish hydrometric reference network of river flow stations

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    Here we present a dataset of observed, modelled, and infilled daily river flow data relating to the newly updated Irish Hydrometric Reference Network (IHRN) of high-quality gauging stations located across the Republic of Ireland. Internationally applied selection criteria, analysis of historical observations and flow gauge metadata, stakeholder feedback, and trend assessments aided in the identification of the network's 51 stations. A combination of the GR4J conceptual hydrological model and a backpropagation neural network driven by catchment specific precipitation and temperature extracted from gridded datasets was used to model flows that subsequently infilled gaps in the observational record for each of the series (from commencement of each station's record till the end of 2022). Also included are the 2.5 and 97.5 quantile values for each station's modelled data, which represent the upper and lower uncertainty bounds of the respective ensemble flows derived during the flow generation process. As well as providing a useful means for evaluating the impact of changing climatic conditions on Irish catchments, the IHRN data offers utility for assessing catchment based impacts for flow extremes, and the generation of both historical reconstructions and future climate projections for a range of flow regimes across the island of Ireland

    Ice rafted debris count of sediment core PS69/899-2

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    Ice rafted debris count from sediment cores PS69/899-2, located in the Indian sector of the Southern Ocean, covering the past 150,000 years, based on the age model described in Fripiat et al. (doi:10.1594/PANGAEA.983936)

    CT raw data (DICOM format) of sediment core GeoB25206-2, MARIA S. MERIAN cruise MSM111

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    Sediment core GeoB25206-2 was scanned using a Toshiba Aquilion 64™ computer tomograph (CT) at the hospital Klinikum Bremen-Mitte, with an Xray source voltage of 120 kV and a current of 600 mA. The CT image stacks have a resolution of 0.35 mm in the x and y directions and 0.5 mm resolution in the z direction (0.3 mm reconstruction unit). Images were reconstructed using Toshiba's patented helical cone beam reconstruction technique

    Processed sensible and latent heat flux from a Krypton Hygrometer (KH20) for summer 2019 at the EastGRIP

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    Processed 10-minute surface sensible and latent heat flux measured at 215 cm above snow surface. The three eddy-covariance systems are a Campbell Scientific CSAT3 and a Krypton Hygrometer KH20, a Campbell Scientific IRGASON and a Campbell Scientific CSAT3 and a Li-COR Li-7500. The eddy-covariance systems were set up approximately 6m apart and directed into the mean wind. The processing software was TK3 from the University of Bayreuth. The timestamps indicate the middle of the 10-minute averaging period. Average variables, (co)variances, friction velocity and Monin-Obukhov stability parameter estimates are provided for convenience

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