The permeable sandy sediments of beach aquifers receive a high input of electron acceptors, such as oxygen (O2), as well as fresh organic matter through seawater infiltration, driving the biogeochemical turnover in the subterranean estuary. Here, we experimentally determined seasonal sedimentary O2 consumption rates of intertidal sediments along a transect in the seawater infiltration zone at Spiekeroog Island North Beach, Germany, and present the data together with measurements of organic carbon and grain sizes, oxygen concentration of pore waters and beach topography. The samples were taken down to 1 m depth during two-monthly sampling campaigns from May 2022 to April 2023. Preliminary investigations of O2 consumption rates took place in in March, June and August 2017. Sediment and porewater sampling procedures were carried out as described by Massmann et al. (2023). O2 consumption rates were determined in slurry incubations of the retrieved sediments using gas tight vials (Labco Exetainer® 12 ml) equipped with O2 sensor spots (Pyroscience, OXSP5). Incubations were carried out in the dark at in situ temperatures, and vials were mounted on a rotating wheel to mimic porewater advection. The sediment's total organic carbon content was determined in a CS analyser (Eltra CS 800). Additionally, the fine fraction of the sediment was washed out and the organic carbon content of the fine sediments was measured in a CHNSO analyser (Hekatech Euro EA). The grain size distribution of the sediments was detemined using dynamic image analysis (Sympatec QICPIC). The O2 concentration in the pore water along the transect was measured immediately after the sample was taken using a flow-through oxygen optode (Pyroscience, OXFTC). The data was collected to investigate the impact of seasonal inputs and filtration efficiency on the O2 consumption during seawater infiltration into the permeable sands of beach aquifers.
Sandy beaches are highly dynamic land-ocean transition zones. For two-monthly sampling campaigns from May 2022 to April 2023, the beach topography along a sampling transect in the seawater infiltration zone at Spiekeroog Island North Beach, Germany, was obtained using Digital Elevation Models (DEMs) derived from aerial imagery during drone flights and manual Real-Time-Kinematic (RTK) differential GPS-surveys. In December 2022, the data was obtained using differential GPS measurements (Stonex S9 III Plus GNSS) because of unfavorable conditions for drone flights. These measurements were carried out in connection with sediment and pore water sampling along the transect during the campaigns. The data was collected to investigate the impact of morphodynamics on the O2 consumption during seawater infiltration into the permeable sands of beach aquifers.
The WMS of the map „Organic Matter Content of Top-Soils in Germany 1:1,000,000 (INSPIRE)“ highlights the results of a Germany-wide compilation of typical soil organic matter contents in top-soils differentiated according to groups of soil parent material, four climatic areas and the main land use. The evaluation is based on more than 9000 soil data profiles with information about Soil Organic Matter (SOM) from a period of about 20 years. The report 'The Organic Matter Content of Top-Soils in Germany', BGR Archive, No. 0127036 (in German) documents the methodology. To transform the organic matter content (of the original dataset HUMUS1000OB) into INSPIRE-relevant organic carbon content (CORG), we applied the van Bemmelen factor (1.724). According to the “Data Specification on Soil“ (D2.8.III.3_v3.0) and the “Guidelines for the use of Observations & Measurements and Sensor Web Enablement-related standards in INSPIRE“ (D2.9_v3.0) the map “Organic Matter Content of Top-Soils in Germany 1:1,000,000“ provides INSPIRE-compliant data. The data has been transformed into the following INSPIRE-Feature Types (Spatial Object Types): “SoilDerivedObject“, “OM_Observation“ and “OM_Process“.
The map ”Organic Matter Content of Top-Soils in Germany 1:1,000,000 (INSPIRE)” highlights the results of a Germany-wide compilation of typical soil organic matter contents in top-soils differentiated according to groups of soil parent material, four climatic areas and the main land use. The evaluation is based on more than 9000 soil data profiles with information about Soil Organic Matter (SOM) from a period of about 20 years. The report 'The Organic Matter Content of Top-Soils in Germany', BGR Archive, No. 0127036 (in German) documents the methodology. To transform the organic matter content (of the original dataset HUMUS1000OB) into INSPIRE-relevant organic carbon content (CORG1000OB), we applied the van Bemmelen factor (1.724). According to the “Data Specification on Soil“ (D2.8.III.3_v3.0) and the “Guidelines for the use of Observations & Measurements and Sensor Web Enablement-related standards in INSPIRE“ (D2.9_v3.0) the content of the map “Organic Matter Content of Top-Soils in Germany 1:1,000,000“ is stored in a single INSPIRE-compliant GML file: buek1000-humus-ob_SoilDerivedObject.gml. The data has been transformed into the following INSPIRE-Feature Types (Spatial Object Types): “SoilDerivedObject“, “OM_Observation“ and “OM_Process“. The GML file together with a Readme.txt file is provided in ZIP format (BUEK1000-HUMUS-OB-INSPIRE.zip). The Readme.text file (German/English) contains detailed information on the GML file content. Data transformation was proceeded by using the INSPIRE Solution Pack for FME according to the INSPIRE requirements.