From 1 - 10 / 84
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    With ERGOM-GETM-WBS model (with a horizontal resolution of 600 m) calculated Dissolved Inorganic Phosphorus [µmol/l] at surface, averaged for spring (March to May) between 2005 and 2014 in the German Baltic Sea.

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    Ten major communities with characteristic species according to hierarchal clustering and indicator species analysis based on abundance data. Community analysis is done based on the abundance and biomass data averaged for all sampling events in within 5 km grid cell. Based on the harmonized dataset that comprises data at over 7000 locations (17000 visit events) mostly sampled in period 2000-2013. Full coverage map of abundance-based communities predicted with Random Forest.

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    Seventeen major communities with characteristic species according to hierarchal clustering (based on point data aggregated to 5 km grid cells) and Indicator species analysis based on biomass data. Crosses indicate sampled cells with no benthic infauna recorded (mainly Polish dataset). Full coverage map of biomass-based communities distribution predicted with Random Forest.

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    Bathymetry for the Baltic Sea.

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    These data sets are based on approx. 1400 stations sampled in the German Baltic Sea by the Leibniz Institute for Baltic Sea Research (IOW) during the past 15 years (as part of the regular monitoring or within different research programmes). Benthic samples were taken with a 0.1 m² van Veen grab. Depending on sediment composition, grabs of different weights were used. As a standard three replicates of grab samples were taken at each station. Additionally a dredge haul (net mesh size 5 mm) was taken in order to obtain mobile or rare species. All samples were sieved through a 1 mm screen and animals were preserved in the field with 4% formaldehyde. For sorting in the laboratory, a stereomicroscope with 10–40 magnification was used, species were counted and weighted. Total ash free dry weight biomass was derived using random forests statistical analysis (Breiman, 2001) in R environment (Version 3.0.2, The R Foundation for Statistical Computing, 2013) and the package ‘random Forest’ (RF, Version 4.6–7, Liaw and Wiener, 2002). Total biomass shows AFDW biomass g per m².Environmental data used as predictors: Substrate (Tauber 2012), Depth (FEMA project), Salinity mean, temperature mean JJA, bottom velocity max (GETM, Klingbeil et al. 2013) Light penetration depth (mean over growth period), oxygen deficit zones (number of days / year smaller 2 ml / l) and detritus rate (mm / year) (ERGOM, Friedland et al. 2012).

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    With ERGOM-GETM-WBS model (with a horizontal resolution of 600 m) calculated Chlorophyll a [µg/l] at surface, averaged for winter (December to February) between 2005 and 2014 in the German Baltic Sea.

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    Modeled 3D biogeochemical sediment fluxes in the western Baltic Sea from 1990 to 2000 using MOM ERGOM SED. A new 3d sediment model ERGOM SED has been developed in the project SECOS for the western Baltic Sea. The model is documented in Radtke et al. (2019, doi: 10.5194/gmd-12-275-2019). It is an extension of the marine biogeochemical model ERGOM and is coupled to the physical model MOM. Simulation results of an eleven-year period from 1990 to 2000 covering the western Baltic Sea are provided for download. The model grid had a spatial resolution of 3 n.m. and covered the whole Baltic Sea (boundary conditions to North Sea in the Skagerrak). Detailed sediment data were compiled and a detailed validation was performed in the SECOS project for the western Baltic Sea. Hence, only model results of that region are provided. The sediment model was spun up for 240 years on a lower resolution and then run for forty years - whereas full model output was saved only for the last eleven years.

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    Modeled 3D biogeochemical sediment fluxes in the western Baltic Sea from 1990 to 2000 using MOM ERGOM SED. A new 3d sediment model ERGOM SED has been developed in the project SECOS for the western Baltic Sea. The model is documented in Radtke et al. (2019, doi: 10.5194/gmd-12-275-2019). It is an extension of the marine biogeochemical model ERGOM and is coupled to the physical model MOM. Simulation results of an eleven-year period from 1990 to 2000 covering the western Baltic Sea are provided for download. The model grid had a spatial resolution of 3 n.m. and covered the whole Baltic Sea (boundary conditions to North Sea in the Skagerrak). Detailed sediment data were compiled and a detailed validation was performed in the SECOS project for the western Baltic Sea. Hence, only model results of that region are provided. The sediment model was spun up for 240 years on a lower resolution and then run for forty years - whereas full model output was saved only for the last eleven years.

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    With ERGOM-GETM-WBS model (with a horizontal resolution of 600 m) calculated days per year with bottom oxygen below 2 ml/l, averaged between 2005 and 2014 in the German Baltic Sea.

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    With ERGOM-GETM-WBS model (with a horizontal resolution of 600 m) calculated Dissolved Inorganic Phosphorus [µmol/l] at surface, averaged for summer (June to August) between 2005 and 2014 in the German Baltic Sea.