This dataset contains acoustic data collected with scientific echosounders in the West Pacific between New-Caledonia, Micronesia and Papua New Guinea during a cruise performed onboard the French R/V ALIS in 2021 in the framework of the program «MICROPAC». This work has received the financial support of the French ministry of the armed force.   

The ABRACOS (Acoustics along the BRAzilian COaSt) cruise aims to begin an integrated approach to monitoring the tropical marine ecosystems in the Brazilian Nordeste region in order to better understand the connectivity between the sub-systems composing it. In particular, this cruise should fill this gap and improve understanding of the degree of connectivity which exists between the oceanic islands and the continental margin in the Nordeste of Brazil, as well as within the continental platform. In this context, the main objective of the ABRACOS cruise consisted in drawing up a 3D characterization of abiotic and biotic compartments and their interactions in the Brazilian Nordeste.

This dataset contains acoustic data collected with scientific echosounders in the West Pacific between Papeete and Marquesas Islands during cruises performed onboard the French R/V ALIS in 2018 and 2019 in the framework of the program «MOANA MATY».

This dataset contains acoustic data collected with scientific echosounders in the western and central Pacific in the equatorial area between French Polynesia and Papua New Guinea during a cruise performed onboard the French R/V ANTEA in 2023 in the framework of the program «MICROPAC». This work has received the financial support of the French ministry of the armed force. 

This dataset contains acoustic data collected with scientific echosounders in the West Pacific between Samoa Islands and French Polynesia during a cruise performed onboard the French R/V ALIS in 2022 in the framework of the program «MICROPAC». This work has received the financial support of the French ministry of the armed force.   

This dataset contains acoustic data collected with scientific echosounders around seamounts in the south of New-Caledonia during the Kanarecup cruise performed onboard the French R/V ALIS in 2021 in the framework of the program «KANADEEP».

This dataset contains acoustic data collected around Fernando de Noronha Archipelago off northeast Brazil within the framework of Fish around Fernando de Noronha FAROFA surveys performed in sept 2017, April 2018 and April 2019.

Physical data associated with the AMAZOMIX cruise. The Amazon shelf encompasses a variety of physical processes, such as fluvial inputs, coastal currents, mesoscale, filaments, tides, internal waves and upwelling, influencing nutrient concentrations, chlorophyll and suspended matter. They also affect energy, salt and heat balances; parameters that condition physical/biogeochemical interactions and ecosystem functioning, from bacteria to plankton to fish resources. In particular, internal tidal waves are very energetic in this region. They impact biogeochemical cycles via the vertical mixture induced by their dissipation or vertical movements induced by their propagation. They thus allow a significant input of nutriments into the euphotic layer enhancing primary production, as observed on the surface from watercolour data. Internal tidal waves could thus influence the biological pump and the carbon cycle. In addition, overall marine biodiversity of the region, from bacteria to fish is not well described. The connectivity of species in the tropical Atlantic is also still an open question. The Caribbean region is by far more bio-diverse than the Brazilian one. One of the hypotheses is that the Amazon plume, which can extend up to 3,000 km off the mouth, would constitute a barrier for some organisms. The Amazon Shelf is thus an ideal experimental laboratory to study the impact of physical processes on the structure and function of neritic and oceanic marine ecosystems. In this context, the objective of the multidisciplinary AMAZOMIX survey was to study the impact of the Amazon River plume, internal tides and associated turbulent mixing, on marine ecosystem in contrasting regions off the Amazon shelf. For that purpose, the multidisciplinary AMAZOMIX project brings together physicists, biogeochemists, bioopticians and biologists. The sampling strategy consists in the simultaneous acquisition of a comprehensive set of environmental and biological compartments, including micro-organisms (bacteria, phyto and zooplankton) and higher trophic levels (micronekton, demersal and pelagic fish). AMAZOMIX is the first campaign to develop this multi-disciplinary approach off the Amazon shelf. In situ results will be analysed in interaction with digital tools and data, modelling (1/36°, with and without tides, 1/12° coupled) and satellite data analyses. This dataset contains the AMAZOMIX 2021 qualified measurements of  - The hydrographic CTD-02 (netCDF and csv text files) - Ship Acoustic Doppler Current Profilers (OS 75 kHz, netCDF and csv text files) - Lowered Acoustic Doppler Current Profilers (WH300 downlooking and WH300 uplooking, netCDF and csv text files) - Thermosalinometer (netCDF and csv text files) - Vertical microstructure profile (VMP-250, binary file)  

Animal movements are typically influenced by multiple environmental factors simultaneously and individuals vary in their response to this environmental heterogeneity. Therefore, understanding how environmental aspects, including biotic, abiotic and anthropogenic factors, influence the movements of wild animals is an important focus of wildlife research and conservation. We apply exponential random graph models (ERGMs) to analyse movement networks of a bull shark population in a network of acoustic receivers and identify the effects of environmental, social or other types of covariates on their movements. We found that intra- and interspecific factors often had stronger effects on movements than environmental variables. ERGMs proved to be a potentially useful tool for studying animal movement network data especially in the context of spatial attribute heterogeneity.

Sound scattering layers (SSLs) are observed over a broad range of spatio-temporal scales and geographical areas. SSLs represent a large biomass, likely involved in the biological carbon pump and the structure of marine trophic webs. Yet, the taxonomic composition remains largely unknown for many SSLs. To investigate the challenges of SSL sampling, we performed a survey in a small study area in the Northern Bay of Biscay (France) by combining broadband and narrowband acoustics, net sampling, imagery and video recordings. In order to identify organisms contributing to the observed SSLs, we compared measured frequency spectra to forward predicted spectra derived from biological data. This dataset comprises the echo-integrated broadband acoustic data (in Sv(f)), the nets position and depth, and the abundance and the size of the catched organisms acquired during a specific operation of SSLs sampling during PELGAS 2016. The acoustic data have been echo-integrated by cells of 5 ping in horizontal and 1.5 meter in vertical. The biological data comes from video counting, direct measurement, ZooCAM or ZooScan plankton imagerie tools; they were generally identify at a low taxonomic level, but sufficient for the modelisation of their acoustics backscattering. More detail of the biological/acoustical data acquisition and processing can be find in Blanluet et al., (under review). This dataset was used in Blanluet et al..