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4th International European Citizen Science Association Conference (ECSA 2022), Citizen Science for Planetary Health, 5-8 October 2022, Berlin, Germany, Monitoring water transparency provides an indicator of the environmental status of the water body. One parameter to estimate the water transparency is the light diffuse attenuation coefficient (Kd) (Mobley, 1994). Historically, water transparency has been measured with a simple and inexpensive tool: The Secchi disk, a black and white disk that is lowered from above the water surface and tracked visually until it goes out of sight (Pitarch, 2020). Despite it being a valuable index of visual water clarity, the quality of its measurements is user-dependent, owing to differences between observers (Bruckner, 2018). In addition, ZSD (Secchi disk depth) measured data is discrete in time, and it is dependent on external factors such as water surface conditions and sunlight intensity. For this reason, we need electronic devices to get accurate measures and facilitate monitoring over a long time scale. This need to develop novel approaches for monitoring environmental data is reflected in the recent growing attention toward citizen science (Njue et al., 2019). Citizen science is an expanding practice in which scientists and citizens actively collaborate to produce new knowledge for science and society (Vohland et al., 2021). Nowadays, we can find a wide range of projects to monitor aquatic ecosystems thanks to the progress in marine citizen science, especially enabled and promoted through technological developments (Garcia Soto et al., 2021). Within the framework of the European H2020 MONOCLE project, it is developed the KduPRO, a cost-affordable and DIY (Do-It-Yourself) moored system evolved from the KdUINO (Bardaji et al, 2016). It is based on a modular system of light sensors, independent of each other, measuring the irradiance at different depths. The depth of each module can be modified according to the requirements of the project or the environment, offering the user a custom array of sensors. The KduPRO measures the light intensity in the red, green, blue and PAR (Photosynthetically Active Radiation) bands at several depths in the water column to estimate Kd. The affordable cost, along with ease of build and use, make this instrument a valuable tool for anyone interested in getting involved in water quality monitoring programs

VIII International Symposium on Marine Sciences, 6-8 July 2022, Las Palmas de Gran Canaria, España, Monitoring water transparency provides an indicator of the environmental status of the water body. One parameter to estimate the water transparency is the light diffuse attenuation coefficient (Kd) (Mobley, 1994). Historically, water transparency has been measured with a simple and inexpensive tool: The Secchi disk, a black and white disk that is lowered from above the water surface and tracked visually until it goes out of sight (Pitarch, 2020). Despite it being a valuable index of visual water clarity, the quality of its measurements is user-dependent, owing to differences between observers (Bruckner, 2018). In addition, ZSD (Secchi disk depth) measured data is discrete in time, and it is dependent on external factors such as water surface conditions and sunlight intensity. For this reason, we need electronic devices to get accurate measures and facilitate evaluations on a long-term scale for water quality monitoring. This need to develop novel approaches for monitoring environmental data is reflected in the recent growing attention toward citizen science (Njue et al., 2019). Citizen science is an expanding practice in which scientists and citizens actively collaborate to produce new knowledge for science and society (Vohland et al., 2021). Nowadays, we can find a wide range of projects to monitor aquatic ecosystems thanks to the progress in marine citizen science, especially enabled and promoted through technological developments (Garcia-Soto et al., 2021). Within the framework of H2020 MONOCLE project, it is developed the KduPRO, a cost-affordable and DIY (Do-It-Yourself) moored system evolved from the KdUINO (Bardaji et al, 2016). It is based on a modular system of light sensors, independent of each other, measuring the irradiance at different depths. The depth of each module can be modified according to the requirements of the project or the environment, offering to the user a custom array of sensors. To estimate Kd, the KduPRO measures the light intensity in the PAR (Photosynthetically Active Radiation) band at several depths in the water column. The affordable cost, ease of use and measurement repeatability make the KduPRO a potentially valuable tool for anyone interested in monitoring water quality, including fisheries, diving clubs, citizen volunteer groups, schools, research groups, and local governments to get involved in water quality monitoring programs, This work has been supported by project MONOCLE (grant agreement n. 776480), funded by the European Union's Horizon 2020 research and innovation programme. ICM-CSIC authors acknowledge the institutional support of the 'Severo Ochoa Center of Excellence' accreditation (CEX2019-000928-S)

VII Encuentro de Oceanografía Física (EOF) - Expanding Ocean Frontiers Conference, VIII International Symposium on Marine Sciences, 6-8 July 2022, Las Palmas de Gran Canaria, España, We present the ongoing educational project AULAMAR, born with the objective of promoting a harmonic relation between the citizens of Barcelona and the sea. Today, Barcelona’s coastal ecosystem is in a state of vulnerability due to the pressure of urban activity and climate change (Harley et al., 2006). Furthermore, the the pressure of tourism during the last decade has reduced the possibility that the citizen be fully aware of the health and emotional values of its marine environment. In order to help revert this situation, we have design AULAMAR, a real oceanographic research project for the youngest generations. AULAMAR is a science education project for high school students in the framework of citizen science, willing to offer tools to better understand the city’s coastline and encourage critical reflection. AULAMAR is the continuation of the successful experience of the Patí Científic, a citizen science project (Oritgosa et al., 2022) where sensor prototypes were developed and installed in sustainable boats or other recreational sailing devices (i.e., rowing, surfing kayaking). In the frame of AULAMAR, high school pupils will build seawater monitoring low cost instruments during educational workshops, in particular temperature-depth profilers, bathymetric probes, multi-parametric fixed stations and micro-plastics tow nets. The participating schools will have the possibilities to make their own instruments and take the measurements, which will be available on an open database. In this way, schools will be able to actively participate towards a better knowledge of the health of their coastal environment. The measurements and other activities, such as workshops, are expected to increase the awareness of non-specialized public about the interaction between coastal cities and marine ecosystems. Moreover, these oceanographic instruments will help increase the amount of physical variables measured through sustainable boats and devices. We will present the first results already achieved with different scholar groups, AULAMAR (Fundació Bit Habitat, ref. ID253). The ICM authors also recognize the institutional support of the Spanish Government through the Severo Ochoa Center of Excellence accreditation (CEX2019-000928-S).

VII Encuentro de Oceanografía Física (EOF) - Expanding Ocean Frontiers Conference, VIII International Symposium on Marine Sciences, 6-8 July 2022, Las Palmas de Gran Canaria, España, The coastline of big cities such as Barcelona are affected by meteorological events and by the anthropogenic influence. Despite the easy access to the marine environment, coastal waters are undersampled both in time and space [1], due the difficulty of setting oceanographic platforms that can carry out continuous sampling next to the coastline and because of the limited accuracy and spatiotemporal resolution of satellites in the shelf waters. In order to improve this lack of sampling, we propose a local strategy for monitoring the Barcelona inner-shelf waters with the participation of sailors that use the patí a vela (PV), a sailing recreational boat widely used in Catalonia. We present the adaptation of the PV with a low-cost temperature profiler to turn it into an oceanographic sampling platform, the scientific patí a vela (SPV). First, the good performance of the lowcost temperature profile has been confirmed through a favorable comparison with a commercial oceanographic instrument. Second, the temperature profile data within an area of about 3 km x 3 km, in the sea from the Barcelona coastline to about 40 m, for the summerfall of 2021 are presented. Finally, the results obtained through 15 sampling are used to explore the response of the water column to specific meteorological events. The temperature-depth profiles show that the mixed-layer depth increases and the overall temperature depth-gradient decreases from summer to fall. SPV turns out to be an inexpensive and maneuverable oceanographic platform, therefore SPV can grow as an inclusive and collaborative citizen science platform that will provide an improved monitoring and understanding of the inner continental shelf, particularly near densely populated areas. It also provides the necessary knowledge of natural and anthropogenic seasonality, We are very grateful to the Barcelona City Council for their support through projects PATÍ CIENTIFIC (Pla Barcelona Ciència 2019, ref. 19SO1645-006, 19SO1649-006, 19SO1651-006) and AULAMAR (Fundació Bit Habitat, ref. ID253)

3 pages, 1 figure, [EN] The ocean and its biodiversity shape the characteristics of the Earth. The ocean dictates our climate, represents a large part of our food supply, plays an essential role in the global economy and supports a great diversity of life and ecosystems. The ocean and humans are deeply interconnected. However, our knowledge of this important ecosystem is relatively limited: it is estimated that less than 5% of it has been explored, and, as a result, there could be about one million species unknown to science (Ocean Literacy Network 2020). There is an urgent need to increase our knowledge of the oceans at a faster rate. Citizen science and participatory monitoring systems are part of the critical strategies for reducing these knowledge gaps. […], [ES] El océano dicta nuestro clima, representa una gran parte de nuestro suministro de alimentos, juega un papel esencial en la economía global y sustenta una gran diversidad de vida y ecosistemas. Sin embargo, nuestro conocimiento sobre este ecosistema es limitado; se estima que se ha explorado menos del 5% y, como resultado, podría haber alrededor de 1 millón de especies desconocidas para la ciencia (Ocean Literacy Network 2020). Existe una necesidad urgente de aumentar nuestro conocimiento de los océanos a un ritmo más rápido. La ciencia ciudadana y los sistemas de monitoreo participativo son parte de las estrategias claves para reducir estas brechas de conocimiento. […], [CAT] L’oceà dicta el nostre clima, representa una gran part del nostre subministrament d’aliments, juga un paper essencial en l’ecologia global i acull una gran diversitat de vida i ecosistemes. No obstant això, el nostre coneixement sobre aquest ecosistema és relativament limitat; s’estima que s’ha explorat menys del 5% i, com a resultat, podria haver-hi al voltant d’1 milió d’espècies desconegudes per a la ciència (Ocean Literacy Network 2020). Hi ha una necessitat urgent d’augmentar el nostre coneixement dels oceans a un ritme més ràpid. La ciència ciutadana i els sistemes de monitoratge participatiu són part de les estratègies claus per reduir aquestes escletxes de coneixement. […]

Special issue 9th MARTECH: International Workshop on Marine Technology: 16-18 June 2021, Vigo, Spain.-- 2 pages, 2 figures, The first results of the PATI CIENTIFIC project are presented. This is a collaborative project funded by a Barcelona Institute of Culture’s grant for research and innovation under the 2019 Barcelona Science Plan. The main objective of this project is to develop a monitoring program for the coastal waters of Barcelona through a small-sailboat feet of the traditional and sustainable Patí de Vela (sailing skate). This pleasure boat is to become a scientifc sailing skate. This feet will acquire the essential oceanographic variables along the Catalan coast, which will be incorporated and accessible in a web platform. We present the initial adaptations done to the Patí de Vela to have an onboard platform holding the scientifc instruments (sensors and devices) for sampling the Barcelona coastal waters. These adaptations allow the systematic measurements of the essential physical and biogeochemical variables. These data, which will allow detecting variations along the coast, hence identifying potential sources of contamination and also providing the necessary knowledge of natural and anthropogenic seasonality, and will be freely available on a web platform. The PATI CIENTIFIC project will increase our knowledge of the coastal waters of the Barcelona coast, encouraging participation in sea monitoring activities and increasing social awareness on the need to love and protect our oceans, The work of Raul Bardaji is supported by the CSIC Intramural Project EMSO – Laboratorios Submarinos Profundos. The work of Carlos Rodero is supported by the H2020 Project MONOCLE (grant agreement No 776480)

European Geosciences Union (EGU) General Assembly, 7-12 April 2019, Vienna, Austria.-- 1 page, The EMSO ERIC is a European environmental research infrastructure distributed throughout European seas,from the North Atlantic across the Mediterranean to the Black Sea, at 11 key environmental sites whose overallobjective is to record at Essential Ocean Variables (EOv′s) to respond to the societal challenges in global changeissues.This work presents MOODA (Module for Ocean Observatory Data Analysis), an open-source python pack-age that allows to create, open and analyse data files from different scientific instrumentation, platforms, andformats, to generate quality control of data and to create graphs. The package, developed in the framework of theH2020 project EMOSDEV, has been conceived mainly for oceanographers and marine science students.In MOODA, data is structured in WaterFrames. A WaterFrame, an extension of the DataFrame data struc-ture included in Pandas, the popular data analysis library for Python. The WaterFrame object contains a PandasDataFrame and two dictionaries, allowing to include relevant metadata of the acquired observations of the EMSOERIC nodes. The WaterFrame, allows using a DataFrame of Pandas without losing the metadata information,which is essential for different processes (mainly data quality control). MOODA has been designed to be scalable,being able not only to process data from EMSO ERIC but also other ocean data platforms such as EMODNET.MOODA is provided as a standalone framework, and it contains a Graphical User Interface (GUI) to be used fornon-Python users. However, MOODA can also be delivered as a service

Association for the Sciences of Limnology and Oceanography (ASLO) Aquatic Sciences Meeting, Mountains of the Sea, 26 February - 3 March 2017, Honolulu, Hawai`i, The European Multidisciplinary Seafloor and water-column Observatory (EMSO) is a large-scale, distributed, Marine Research Infrastructure (RI). EMSO consists of ocean observation systems for long-term, high-resolution, (near) real-time monitoring of environmental processes including natural hazards, climate change, and marine ecosystems. EMSO observatory nodes are at key sites around Europe, from the Arctic to the Atlantic, through the Mediterranean, to the Black Sea. To analyse the EMSO data, we develop the Module for Ocean Observatory Data Analysis (MOODA). MOODA is a software with a Graphical User Interface (GUI) developed for scientists. The software helps to facilitate data access (mainly off-line) for further analysis by the scientific community. Some of the features the MOODA offers are: (1) Direct data access with complex query capabilities; (2) Data filtering methods based on metadata information; (3) Complex visualization tools; (4) Summary reports of the validated data generated from a specific query, including event annotations; (5) Specific data analysis tools for different scientific disciplines; (6) The system will be designed to be open, adaptable and scalable allowing future contributions from researchers and developers from all the disciplines associated to the EMSO observatories. The code is written in Python, and it is available on GitHub. MOODA aims to make informative plots as a central part of exploring and understanding data, Thanks to funding provided by H-2020 project EMSODEV (No 676555)