de.pangaea.dataset980861 und dataset PANGAEA
info@pangaea.de
https://www.pangaea.de/ information pointOfContact 2026-04-17T12:23:41Z https://doi.pangaea.de/10.1594/PANGAEA.980861 <gco:CharacterString>Observational insights into the enhanced biological productivity of the Cape Verde Archipelago</gco:CharacterString> 2026-04-17T12:23:01 publication Schütte, Florian
fschuette@geomar.de
https://orcid.org/0000-0002-4846-1434 information editor Hans, Anna Christina
ahans@geomar.de
https://orcid.org/0000-0002-6118-6959 information editor Schulz, Marco
mschulz@geomar.de
editor Hummels, Rebecca
rhummels@geomar.de
https://orcid.org/0000-0002-3746-6213 information editor Assokpa, Olivier editor Brandt, Peter
pbrandt@geomar.de
https://orcid.org/0000-0002-9235-955X information editor Kiko, Rainer
rkiko@geomar.de
https://orcid.org/0000-0002-7851-9107 information editor Körtzinger, Arne
akoertzinger@geomar.de
https://orcid.org/0000-0002-8181-3593 information editor Fiedler, Björn
bfiedler@geomar.de
https://orcid.org/0000-0001-8525-8446 information editor Fischer, Tim
tfischer@geomar.de
https://orcid.org/0000-0001-7025-1129 information editor Rodrigues, Elizandro
elizandro.rodrigues@oscm.cv
editor Hoving, Henk-Jan T
hhoving@geomar.de
https://orcid.org/0000-0002-4330-6507 information editor Hauss, Helena
heha@norceresearch.no
https://orcid.org/0000-0002-0754-3388 information editor PANGAEA
info@pangaea.de
https://www.pangaea.de/ information publisher tableDigital The Cape Verde Archipelago (CVA) is a hotspot of biological productivity in the oligotrophic central North Atlantic, supporting a highly diverse ecosystem. Twenty years of interdisciplinary observational data reveal the physical processes driving this productivity and their impacts on the composition of biological life across the food web of the CVA. The dataset consists of various interdisciplinary datasets conducted over the past decades during a large number of field campaigns with different objectives. During the cruises, underway horizontal velocity measurements were obtained from a 38 kHz, a 75 kHz or a 350 kHz RDI Ocean Surveyor (OS) vessel mounted Acoustic Doppler Current Profiler (vmADCP). The accuracy of the used 1-hr averaged vmADCP data is better than 0.02 – 0.04 m s-1 (J. Fischer et al., 2003). All velocity data were combined to obtain an average picture of the velocity structure in the archipelago.Turbulence dissipation rates were derived from shipboard microstructure measurements which were frequently conducted during three research cruises in the CVA. Hydrographic data were acquired during the research cruises using a Seabird Conductivity, Temperature, Depth (CTD) sonde. After calibration, the data accuracies for a single research cruise are generally assumed to be better than ±0.001 °C for temperature and ±0.004 g kg-1 for salinity. The profiling system used was an MSS90-D profiler, manufactured by Sea & Sun Technology. The loosely-tethered profiler is optimized to sink at a rate of about 0.6 m s-1. During seven cruises in different seasons between 2012 and 2019, mesozooplankton samples were collected from vertically stratified hauls with a Hydrobios Multinet Midi (five nets, 200 µm mesh size). completed copyright copyright CC-BY-4.0: Creative Commons Attribution 4.0 International textTable und geoscientificInformation -61.5386 14.503 -22.941 49.3445 2007-02-10T17:11:27 2022-03-16T08:56:00 dataset The data set was checked for completeness, correctness, and consistency of metainformation. Validity of used methods was checked and - if applicable - precision and range of data. Supplement to <gco:CharacterString>Linking physical processes to biological responses: Interdisciplinary observational insights into the enhanced biological productivity of the Cape Verde Archipelago</gco:CharacterString> 2025-01-01 publication https://doi.org/10.1016/j.pocean.2025.103479 Schütte, Florian
fschuette@geomar.de
https://orcid.org/0000-0002-4846-1434 information author Hans, Anna Christina
ahans@geomar.de
https://orcid.org/0000-0002-6118-6959 information author Schulz, Marco
mschulz@geomar.de
author Hummels, Rebecca
rhummels@geomar.de
https://orcid.org/0000-0002-3746-6213 information author Assokpa, Olivier author Brandt, Peter
pbrandt@geomar.de
https://orcid.org/0000-0002-9235-955X information author Kiko, Rainer
rkiko@geomar.de
https://orcid.org/0000-0002-7851-9107 information author Körtzinger, Arne
akoertzinger@geomar.de
https://orcid.org/0000-0002-8181-3593 information author Fiedler, Björn
bfiedler@geomar.de
https://orcid.org/0000-0001-8525-8446 information author Fischer, Tim
tfischer@geomar.de
https://orcid.org/0000-0001-7025-1129 information author Rodrigues, Elizandro
elizandro.rodrigues@oscm.cv
author Hoving, Henk-Jan T
hhoving@geomar.de
https://orcid.org/0000-0002-4330-6507 information author Hauss, Helena
heha@norceresearch.no
https://orcid.org/0000-0002-0754-3388 information author documentDigital Progress in Oceanography 235 103479