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Anthropogenic underwater noise can seriously affect the marine environment and species. Although great progress has been made both from a normative and scientific point of view, public perception of this hazard is very limited. The Noixe project addresses precisely this gap and aims to raise collective awareness of this problem and the role each of us can play in reducing the impact on the environment. This paper describes what we have developed to raise knowledge and awareness of this issue through playful activities and serious games both in live situations and online. The Noixe events are divided into two sections: First, all the concepts needed to understand anthropogenic noise are explained using experiences that anyone can have in their lives. For example, it is possible to explain how noise can make a message contained in an acoustic signal unrecognizable, staging the case of a teacher explaining something to a noisy class. The second moment of a Noixe event is the serious game. Here, in a quiz-like environment, two teams compete against each other to guess a set of sounds that are initially masked by noise. The system we developed makes it possible to gradually reduce the volume of the noise and increase the volume of the sound until it becomes intelligible. The team that identifies more sounds wins. The online version of Noixe is built on a similar workflow but cannot offer all the features of the live events. In particular, it is very difficult to recreate collective experiences such as team games due to possible connectivity issues. This is why we opted for a single user mode. We have found that our approach is very effective in raising awareness on the topic of anthropogenic noise in both live and online settings. This is demonstrated by the fact that practically all Noixe participants decided to join citizen science activities on noise monitoring we later offered them. In this paper we present the technical details of the activities we have developed so that anyone can replicate and improve our work. [ABSTRACT FROM AUTHOR]

Vintage geophysical data represent a huge heritage for the whole scientific community (Sopher, 2018; Schaming et al., 2017; Diviacco et al., 2015) because, despite the antiquated acquisition methods and processing tools, they are generally characterized by high penetration and wide regional extension. Nowadays such large‐scale projects are in fact very difficult to take place, considering environmental, geopolitical, and funding issues. In addition, reprocessing vintage seismic profiles using up‐to‐date software and tools, it is now possible to further increase their original signal‐to‐noise ratio. Italian offshore areas have been widely investigated by a dense network of multichannel seismic reflection profiles, acquired by the Italian Authorities in the years 1960, 1970, and 1980 of the last century in the perspective of mineral prospecting. This asset of data has been recovered, reprocessed, and made accessible within a demanding project undertaken by Istituto Nazionale di Oceanografia e di Geofisica Sperimentale (OGS). The present work aims at describing the data recovery and reprocessing methodologies applied to enhance the quality of these vintage multichannel‐seismic reflection profiles, and at detailing how to access this huge dataset, that have been made compliant with the FAIR principles (Findable, Accessible, Interoperable, Reusable) and available through the OGS‐SNAP data management web portal. Open Practices: This article has earned an Open Data badge for making publicly available the digitally‐shareable data necessary to reproduce the reported results. The data is available at https://doi.org/10.6092/SNAP.cbbba251c17b55c737836768c8737589. Learn more about the Open Practices badges from the Center for Open Science: https://osf.io/tvyxz/wiki. [ABSTRACT FROM AUTHOR]

EMODnet-Physics map portal (www.emodnet-physics.eu/map) provides a single point of access to in situ datasets, products and their metadata. b. EMODnet Data Ingestion The EMODnet Data Ingestion portal facilitates data producers and managers to ingest their marine datasets for further processing and publishing as open data. In the first case, binning data within cells that are delimited geographically and in time allows to statistically process data in order to retain an average value per cell which can be used for further visualization in gridded or contour maps. It allows seamless acquisition, transmission, integration, processing and visualisation/dissemination of cross-domain crowd-sensing data, while being compliant to OGC standards. [Extracted from the article]

In this framework, the integration of the SDLS web portal with GeoNetwork allows to obtain a repository and a registry of metadata in a catalogue based on INSPIRE and ISO19115-3 standards. [Extracted from the article]

Conclusions Madcrow demonstrated non only the feasibility but also the vast possibilities that the citizen science approach can have from the perspective of providing researchers with large quantities of data covering large geographical areas with very low costs. International Conference on Marine Data and Information Systems 12-14 Aprile, 2021- Online 179 Citizen science and crowdsourcing in the field of marine scientific research - the MaDCrow project Paolo Diviacco, OGS National Institute of Oceanography and Applied Geophysics (Italy), pdiviacco@inogs.it Antonio Nadali, Transpobank (Italy), nadali@tbk.it Massimiliano Iurcev, OGS National Institute of Oceanography and Applied Geophysics (Italy), miurcev@inogs.it Rodrigo Carbajales, OGS National Institute of Oceanography and Applied Geophysics (Italy), rcarbajales@inogs.it Francesca Malfatti, OGS National Institute of Oceanography and Applied Geophysics (Italy), fmalfatti@inogs.it Lorenzo Grio, Transpobank (Italy), grio@tbk.it Alessandro Busato, OGS National Institute of Oceanography and Applied Geophysics (Italy), abusato@inogs.it Alessandro Pavan, OGS National Institute of Oceanography and Applied Geophysics (Italy), apavan@inogs.it Massimiliano Nolich, University of Trieste (Italy), mnolich@units.it Introduction MaDCrow (Marine Data Crowdsourcing) is a marine technology research and development project co-funded by the European Regional Development Fund (ERDF), that aims to create an innovative technological infrastructure for the acquisition, integration and dissemination of data on the marine ecosystem of the Gulf of Trieste based on a citizen science paradigm. [Extracted from the article]