| _version_ | 1867170113738768384 |
|---|---|
| author | Pröfrock, Daniel Lassen, Stephan Petersen, Jördis |
| author_facet | Pröfrock, Daniel Lassen, Stephan Petersen, Jördis |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | The German Wadden Sea represents a central sink for the accumulation and further distribution of sediments and SPM originating from the big river systems Elbe, Weser, Ems and Rhine, the German bight as well as from the Wadden Sea area itself. Knowledge about the origin, transport and accumulation of these materials are in particular of importance for coastal protection or the quality status of the German coastal areas in terms of its pollution status. In order to assess the anthropogenic fingerprint of this region also in comparison to previous analysis water and sediment samples were taken between 10.06.2014 and 20.06.2014 at different Wadden Sea areas along the German coast. The surface sediment samples were taken by a box grab or directly using small cores during low tide from the selected Wadden Sea areas representing different sediment properties and were analyzed for their grain size distribution by laser diffraction. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_943769 |
| institution | PANGAEA |
| language | en |
| publishDate | 2022 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Grain size distribution for sediment samples of the campaign Watt2014 Pröfrock, Daniel Lassen, Stephan Petersen, Jördis 0614_KBA_Watt_01; 0614_KBA_Watt_02; 0614_KBA_Watt_03; 0614_KBA_Watt_04; 0614_KBA_Watt_05; 0614_KBA_Watt_06; 0614_KBA_Watt_07; 0614_KBA_Watt_08; 0614_KBA_Watt_09; 0614_KBA_Watt_10; 0614_KBA_Watt_11; 0614_KBA_Watt_12; 0614_KBA_Watt_13; 0614_KBA_Watt_14; 0614_KBA_Watt_15; 0614_KBA_Watt_16; 0614_KBA_Watt_17; 0614_KBA_Watt_18; 0614_KBA_Watt_19; 0614_KBA_Watt_20; 0614_KBA_Watt_21; 0614_KBA_Watt_22; 0614_KBA_Watt_23; 0614_KBA_Watt_24; 0614_KBA_Watt_25; 0614_KBA_Watt_26; 0614_KBA_Watt_27; 0614_KBA_Watt_28; 0614_KBA_Watt_29; 0614_KBA_Watt_30; 0614_KBA_Watt_31; 0614_KBA_Watt_32; 0614_KBA_Watt_33; 0614_KBA_Watt_34; Date/Time of event; DEPTH, sediment/rock; Event label; Grab; GRAB; Grain size, LASER Particle Sizer; Latitude of event; Longitude of event; Ludwig Prandtl; North Sea; Sample code/label; Size fraction < 0.020 mm; Size fraction < 0.020 mm, standard deviation; Size fraction < 0.063 mm, mud, silt+clay; Size fraction < 0.063 mm, mud, silt+clay, standard deviation; Size fraction < 0.125 mm; Size fraction < 0.125 mm, standard deviation; Size fraction < 0.250 mm; Size fraction < 0.250 mm, standard deviation; Station label; Watt_01; Watt_02; Watt_03; Watt_04; Watt_05; Watt_06; Watt_07; Watt_08; Watt_09; Watt_10; Watt_11; Watt_12; Watt_13; Watt_14; Watt_15; Watt_16; Watt_17; Watt_18; Watt_19; Watt_20; Watt_21; Watt_22; Watt_23; Watt_24; Watt_25; Watt_26; Watt_27; Watt_28; Watt_29; Watt_30; Watt_31; Watt_32; Watt_33; Watt_34; WATT2014 The German Wadden Sea represents a central sink for the accumulation and further distribution of sediments and SPM originating from the big river systems Elbe, Weser, Ems and Rhine, the German bight as well as from the Wadden Sea area itself. Knowledge about the origin, transport and accumulation of these materials are in particular of importance for coastal protection or the quality status of the German coastal areas in terms of its pollution status. In order to assess the anthropogenic fingerprint of this region also in comparison to previous analysis water and sediment samples were taken between 10.06.2014 and 20.06.2014 at different Wadden Sea areas along the German coast. The surface sediment samples were taken by a box grab or directly using small cores during low tide from the selected Wadden Sea areas representing different sediment properties and were analyzed for their grain size distribution by laser diffraction. |
| title | Grain size distribution for sediment samples of the campaign Watt2014 |
| topic | 0614_KBA_Watt_01; 0614_KBA_Watt_02; 0614_KBA_Watt_03; 0614_KBA_Watt_04; 0614_KBA_Watt_05; 0614_KBA_Watt_06; 0614_KBA_Watt_07; 0614_KBA_Watt_08; 0614_KBA_Watt_09; 0614_KBA_Watt_10; 0614_KBA_Watt_11; 0614_KBA_Watt_12; 0614_KBA_Watt_13; 0614_KBA_Watt_14; 0614_KBA_Watt_15; 0614_KBA_Watt_16; 0614_KBA_Watt_17; 0614_KBA_Watt_18; 0614_KBA_Watt_19; 0614_KBA_Watt_20; 0614_KBA_Watt_21; 0614_KBA_Watt_22; 0614_KBA_Watt_23; 0614_KBA_Watt_24; 0614_KBA_Watt_25; 0614_KBA_Watt_26; 0614_KBA_Watt_27; 0614_KBA_Watt_28; 0614_KBA_Watt_29; 0614_KBA_Watt_30; 0614_KBA_Watt_31; 0614_KBA_Watt_32; 0614_KBA_Watt_33; 0614_KBA_Watt_34; Date/Time of event; DEPTH, sediment/rock; Event label; Grab; GRAB; Grain size, LASER Particle Sizer; Latitude of event; Longitude of event; Ludwig Prandtl; North Sea; Sample code/label; Size fraction < 0.020 mm; Size fraction < 0.020 mm, standard deviation; Size fraction < 0.063 mm, mud, silt+clay; Size fraction < 0.063 mm, mud, silt+clay, standard deviation; Size fraction < 0.125 mm; Size fraction < 0.125 mm, standard deviation; Size fraction < 0.250 mm; Size fraction < 0.250 mm, standard deviation; Station label; Watt_01; Watt_02; Watt_03; Watt_04; Watt_05; Watt_06; Watt_07; Watt_08; Watt_09; Watt_10; Watt_11; Watt_12; Watt_13; Watt_14; Watt_15; Watt_16; Watt_17; Watt_18; Watt_19; Watt_20; Watt_21; Watt_22; Watt_23; Watt_24; Watt_25; Watt_26; Watt_27; Watt_28; Watt_29; Watt_30; Watt_31; Watt_32; Watt_33; Watt_34; WATT2014 |
| url | https://doi.org/10.1594/PANGAEA.943769 |