A world deep displacement dataset comprising more than 1600 000 Argo floats deep displacements, has been produced from the global Argo float database (GDAC). ANDRO dataset was completed over the period 2000-2009, then was partially but yearly updated since 2010. ANDRO actual contents and format is described in the user guide, which must be carefully read before using ANDRO (ANDRO format is also described in Ollitrault M. et al (2013)). One important feature of ANDRO is that the pressures measured during float drifts at depth, and suitably averaged are preserved in ANDRO (see Figure 2). To reach this goal, it was necessary to reprocess most of the Argo raw data, because of the many different decoding versions (roughly 100) not always applied by the DACs to the displacement data because they were mainly interested in the p,t,S profiles. The result of our work was the production of comprehensive files, named DEP (for déplacements in French), containing all the possibly retrievable float data. For detailed information and status of the last released ANDRO product, please visit the dedicated Argo France web page: https://www.umr-lops.fr/SNO-Argo/Products/ANDRO-Argo-floats-displacements-Atlas

Physical data associated with the ABRACO2 cruise. The ABRACOS2 cruise's main objective was to draw up a 3D characterisation of the abiotic and biotic compartments and their interactions. The cruise had 3 specific objectives: 1) Characterisation of water masses and their dynamics. Data collected (ADCP, CTD, rosette, etc.) will be used to study the physical connections between (i) ocean islands and coastal ecosystems and (ii) tropical/subtropical coastal regions to the South and equatorial coastal regions to the North. In-situ measurements will also make it possible to validate the regional high-resolution hydrodynamic models. 2) Ecosystem acoustics. Collecting multifrequency acoustic data in order to create the first 3D characterisation of island and coastal ecosystems in the Northeast Region of Brazil. Acoustic observations will be combined with sampling with pelagic trawl (Legs 1 and 2), bottom trawl (Leg 1), and with sampling of zooplankton and video images. 3) Biodiversity and food web structure. In-situ sampling will provide information about the distribution, biodiversity, trophic ecology (use of stable isotopes) and the contamination (methylmercury) of organisms. The related projects are ABRAÇOS and 'Planning in a liquid world: Marine spatial planning and network dynamics' (PADDLE), (H2020 RISE), (PI: M. Bonnin, 2017-2020).