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The European Multidisciplinary Seafloor and water-column Observatory (EMSO) European Research Infrastructure Consortium (ERIC) is a large-scale European Strategy Forum on Research Infrastructure (ESFRI) member with strategically placed sea observatories with the essential scientific objective of real-time, long-term monitoring of environmental processes related to the interaction between the geosphere, biosphere, and hydrosphere. EMSO ERIC collects, curates, and provides high-quality oceanographic measurements from surface to deep seafloor to assess long-term time series and oceanographic modeling. In addition, EMSO ERIC has developed a set of data services that harmonize its regional facilities’ data workflows, enhancing efficiency and productivity, supporting innovation, and enabling data- and knowledge-based discovery and decision-making. These services are developed in connection with the ESFRI cluster of Environmental Research Infrastructures (ENVRI) through the adoption of FAIR data principles (findability, accessibility, interoperability, and reusability) and supported by the ENVRI-FAIR H2020 project. EMSO ERIC’s efforts in adopting FAIR principles include the use of globally unique and resolvable persistent identifiers (PIDs) in alignment with the ENVRI-FAIR task forces. We present a service for the identification and long-lasting citability of dynamic data queries on harmonized data sets generated by EMSO ERIC users. The service is aligned with the Research Data Alliance (RDA) working group on data citation and has been integrated into the EMSO ERIC data portal. User-built queries on the data portal are served by the EMSO ERIC Application Programming Interface (API), which retrieves the user requested data and provides a Uniform Resource Identifier (URI) to the query, visualizations, and data sets in CSV and NetCDF formats. The data portal allows users to request a PID to the data query by providing mandatory and optional metadata information through an onl

We analyze the efficacy of using a Do-It-Yourself (DIY) modular instrument to estimate the diffuse attenuation coefficient (Kd) of photosynthetically active radiation (PAR), which can be used for operational oceanography in turbid shallow waters. This parameter evaluates the water transparency, as it summarizes several water components providing an indicator for water quality. Historically, water transparency has been measured with a simple and inexpensive tool: the Secchi disk. Although it contributes a valuable index of visual water clarity, the quality of its measurements is user-dependent, and it does not enable the automatic monitoring of the water quality. For this reason, we need electronic devices to get accurate measures and facilitate long-term evaluations for water quality monitoring. This paper has two main objectives: First, to present the KduPRO, a low-cost and DIY moored instrument. The KduPRO is an evolution of the KdUINO buoy, that provides an estimation of the water transparency in coastal areas and continental waters, with an automatic quality control parameter that makes this sensor suitable for operational observing systems; and second, to provide a replicability analysis associated to the uncertainty of its Kd estimations. This instrument is based on a modular system of light sensors, independent of each other, measuring the irradiance at different depths. This study analyses the performance of the KduPRO with other reference commercial instruments, the performance between different modules of the same system and finally, a case study of measuring the water quality in Loch Leven (a lake in Scotland). The affordable cost, ease of use and measurement repeatability make this instrument a potentially valuable tool for anyone interested in monitoring water quality

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

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

Shelf waters near large cities, such as Barcelona, are affected not only by meteorological episodes but also by anthropogenic influence. Scientists usually use data from on-site coastal platforms to analyze and understand these complex water ecosystems because remote sensing satellites have low spatiotemporal resolution and do not provide reliable data so close to the coast. However, platforms with conventional oceanographic instrumentation are expensive to install and maintain. This study presents the scientific adaptation and initial measurements from a “patí a vela”, which is a very popular unipersonal catamaran in Barcelona. This versatile sailing vessel has been adapted to contain several low-cost sensors and instruments to measure water properties. Here, we describe the setup of a multi-parameter prototype, and then focus on results obtained using a low-cost temperature profiler. First, the temperature data are compared and validated with another conventional oceanographic instrument used in monthly oceanographic cruises. Then, field measurements between July and November 2021 are used to explore the relationship between air and water temperature in the Barcelona coastal area, showing the seasonal evolution of the temperature profile. We conclude that citizen sampling from fully sustainable sailing boats may turn into an effective strategy to monitor the urban coastal waters

[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. […]

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 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 (Ortigosa 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 alr

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). The H2020 project MONOCLE (Multiscale Observation Networks for Optical monitoring of Coastal waters, Lakes and Estuaries) is developing an improved version of the KdUINO, the KduSTICK, following these specifications: - cost-effective - portable - real-time monitoring - easy to use with minimal training This instrument estimates the Kd near the surface in real-time. Data is transmitted using the Internet of Things (IoT) networks. In particular, our research group participates in the initiative The Things Network (TTN), a global, crowdsourced, open, free and decentralized IoT network based on LoRaWAN. Attendees will learn about how water transparency is monitored thanks to the participation of people using the KduSTICK

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). This parameter is of particular interest because it advises about phytoplankton concentrations or levels of dissolved organic and inorganic compounds. It is especially relevant in coastal areas and lakes strongly affected by anthropogenic activities. 90% of the diffusely reflected light from a water body comes from a surface layer of water within a depth of 1/Kd. Therefore, remote sensing can be an ideal tool for monitoring water transparency. With an increase in remote sensing data availability over the past decade, there has been a rise in the in situ data available for calibration and validation of satellite measurements (Topp et al., 2020). However, the current satellite measurements for monitoring coastal and inland waters are still evolving and remain challenging because of the spatial scales that satellite measurements represent (Tyler et al., 2016). Therefore, to improve data coverage in these zones, in situ irradiance measurements are still required. There is a growing worldwide need to explore cost-effective data acquisition to generate knowledge for sustainable natural resource management (Buytaert et al., 2016; Loiselle et al., 2016; Pham et al., 2015). This need to develop novel approaches for monitoring environmental data is reflected in the recent growing attention to citizen science (Njue et al., 2019). Citizen science promotes the collaboration between non-professionals and scientists and in a two-way process. Citizens can engage in various degrees from co-design and co-creation, through problem definition, data collection, analysis, and dissemination of results, to participate as interpreters of information and sensors (Shirk et al., 2012; Haklay, 2013; Chapman and Hodges, 2017). One of these in-situ sensor systems is the low cost and DIY

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

Monitoring water transparency provides an indicator of the environmental status of the water body. One parameter to estimate the water transparency is the light difuse attenuation coefcient (Kd). In the framework of the H2020 project MONOCLE (Multiscale Observation Networks for Optical monitoring of Coastal waters, Lakes and Estuaries), we have developed an improved version of the KdUINO (Bardaji et al., 2016) consisting of a moored instrument used to assess water transparency. This new version, the KduSTICK, estimates Kd near the surface in real-time following these specifcations: cost- efective, portable, real-time monitoring and easy to use with minimal training. This instrument transmits data by using the Internet of Things (IoT) networks. In particular, our research group participates in the initiative “The Things Network” (TTN), an IoT network based on LoRaWAN. This device is easy to deploy and maintain, and it is suitable for citizen-science based water quality monitoring programs

The development of straightforward tools in data analysis plays a signifcant role in the available accumulative data from marine observatories. A large number of diferent variables recorded with diferent formats in marine observatories require methodologies that allow analysis and integration of these data automatically. In this paper, we present the MOODA open-source Python package, which provides an extensive range of procedures for harmonization and analysis of data from marine observatories, including feature extraction, quality control, fltering features, and visualization tools. We present the key aspects of the design and implementation of the package (mooda v1.x). MOODA is an integral component of the European Multidisciplinary Seafoor and water-column Observatory (EMSO) data management platform to harmonize and manage data from the diferent marine observatories. MOODA’s dynamic development model based on user feedback achieves a continuous enhancement and integration of the library

A fundamental component of the EMSO ERIC cyber-infrastructure that integrates multiple ocean variables from EMSO ERIC regional facilities is its data management platform. The EMSO data management platform transition to pre-production enabled the deployment of EMSO ERIC data services based on harmonization, widely used specifcations, and FAIR principles. It establishes an appropriate workfow for taking stewardship of every stage of the data lifecycle on an architecture based on robustness and fault tolerance, including redundancy and failover capabilities, scalability, and security. This work presents EMSO ERIC’s authentication and authorization infrastructure, which provides security and accountability and enables personalized services

Measuring water transparency allows us to monitor the water body's environmental status. One parameter to estimate water transparency is the light diffuse attenuation coefficient (Kd). This coefficient is of particular interest in water quality monitoring programs. The Kd describes the light extinction as function as the depth of downwelling irradiance, Ed. However, self-shading by the instrument itself can cause errors in Ed estimations. To avoid this effect, relative complex structures must be required to install the sensors that limit the vertical resolution of Ed measurements. Here we propose to use optical sensors in an annular-shape distribution to mitigate these limitations. For this, we introduce a new concept: the annular irradiance, Ea. We first compute the optimal angle to avoid self-shading while maximizing the light captured by the sensor. Second, we assess the robustness of the corresponding diffuse attenuation coefficient, Ka, in different scenarios of water types, solar angle and cloud coverage. Finally, we correlate Ka measurements with Kd at PAR region, and we derive empirical functions from translating Ka to Kd measurements. This new coefficient is the basis of the new generation of the KdUINO instrument (Bardaji et al., 2016) as a KduSTICK, which estimates the near-surface light extinction coefficient based on Ka measurements. Since the design of the instrument avoids self-shading, the device is expected to be particularly useful in those underwater environments where high vertical Ed resolution is required. Furthermore, instruments based on this light-sensing approach are much simpler to deploy and maintain, and it is possible to design low-cost and Do-It-Yourself (DIY) versions. All these features facilitate its use for non-academic users, making the KduSTICK an optimal instrument to be used in Citizen Science water quality monitoring programs

Measuring the diffuse attenuation coefficient (Kd) allows for monitoring the water body’s environmental status. This parameter is of particular interest in water quality monitoring programs because it quantifies the presence of light and the euphotic zone’s depth. Citizen scientists can meaningfully contribute by monitoring water quality, complementing traditional methods by reducing monitoring costs and significantly improving data coverage, empowering and supporting decision-making. However, the quality of the acquisition of in situ underwater irradiance measurements has some limitations, especially in areas where stratification phenomena occur in the first meters of depth. This vertical layering introduces a gradient of properties in the vertical direction, affecting the associated Kd. To detect and characterize these variations of Kd in the water column, it needs a system of optical sensors, ideally placed in a range of a few cm, improving the low vertical accuracy. Despite that, the problem of self-shading on the instrumentation becomes critical. Here, we introduce a new concept that aims to improve the vertical accuracy of the irradiance measurements: the underwater annular irradiance (Ea). This new concept consists of measuring the irradiance in an annular-shaped distribution. We first compute the optimal annular angle that avoids self-shading and maximizes the light captured by the sensors. Second, we use different scenarios of water types, solar zenith angle, and cloud coverage to assess the robustness of the corresponding diffuse attenuation coefficient, Ka. Finally, we derive empirical functions for computing Kd from Ka. This new concept opens the possibility to a new generation of optical sensors in an annular-shaped distribution which is expected to (a) increase the vertical resolution of the irradiance measurements and (b) be easy to deploy and maintain and thus to be more suitable for citizen scientists

Un grupo de investigadores del Institut de Cincies del Mar (ICM-CSIC) de Barcelona ha transformado un patín de vela en una embarcación para la investigación oceanográfica a través de la que se prevé monitorizar el estado del agua del litoral barcelonés. [...]

This paper presents the first results of the Barcelona Institute of Culture’s grant for research and innovation projects under the 2019 Barcelona Science Plan entitled “Development of a citizen monitoring program for the Barcelona waters: The Scientific Patí a Vela”. The main objective of this project is to develop a small Patí a Vela (PV) fleet that can routinely sample the Barcelona coastal waters and report their observations to an open-access interactive web. The Patí a Vela boat was designed in 1942 by the Mongé brothers. It is a lightweight one-person catamaran with a single Marconi sail and no boom. The main objective of this contribution is to adapt the Patí a Vela model attaching an on-board platform with scientific instruments (sensors and devices) and determine the new stabilitycharacteristics and seakeeping performance. This will allow an adequate sampling of the Barcelona coast waters and the systematic measurements of the essential physical and biogeochemical variables detecting variations along the coast, hence identifying potential sources of contamination. It will also provide the necessary knowledge of natural and anthropogenic seasonality

In marine sciences, the way in which many research groups work is changing as scientists use published data to complement their field campaign data online, thanks to the large increase in the number of open access observations. Many institutions are making great efforts to provide the data following FAIR principles (findability, accessibility, interoperability, and reusability) and are bringing together interdisciplinary teams of data scientists and data engineers. There are different platforms for downloading marine and oceanographic data and many libraries to analyze data. However, the reality is that scientists continue to have difficulty finding the data they need. On many occasions, data platforms provide information about the metadata, but they do not show any underlying graph of the data that can be downloaded. Sometimes, scientists cannot download only the data parameters of interest and have to download huge amounts of data with other not useful parameters for their studies. On other occasions, the platform allows to download the data parameters of interest but offers the time-series data as many files, and it is the scientist who has to join the pieces of data into a single dataset to be analyzed correctly. EMSO ERIC is developing a data service that helps reduce the burden of scientists to search and acquire data as much as possible. We present the EMSO ERIC DataLab web application, which provides users with capabilities to preview harmonized data from the EMSO ERIC observatories, perform some basic data analyses, create or modify datasets, and download them. Use case scenarios of the DataLab include the creation of a NetCDF file with time-series information across EMSO ERIC observatories. The DataLab has been developed using engineering best practices and trend technologies for big data management, including specialized Python libraries for web environments and oceanographic data analysis, such as Plotly, Dash, Flask, and the Module for Ocean Observatory

The European Multidisciplinary Seafloor and water column Observatory (EMSO) consists, to date, of 11 regional multiple sensor-equipped platforms distributed around Europe from the Atlantic Ocean to the Mediterranean, and the Black Sea. Each system collects multidisciplinary measurements in the water column as well as at the seafloor addressing several critical questions related to ocean health, climate change, marine ecosystems and natural hazards. EMSO is a European Research Infrastructure Consortium (ERIC) since 2016, and one of the many challenges has been to design new online services promoting marine data produced by the whole network. Here, we report on an on-going activity to compile, control and deliver quality controlled temperature and salinity data and metadata gathered through the EMSO network from the sea surface down to 4000m. As part of this effort, we work on the development of online tools for temperature and salinity data visualization and knowledge discovery based on widely used software components such as dashboards. These services aim to support the stakeholders' needs (from scientists and industries to institutions and policymakers) by providing relevant information on multidisciplinary oceanographic data. They also highlight the importance of filling the knowledge gap on the abyssal ocean by delivering useful deep long-term series necessary to assess the impact of key processes on global issues such as climate change and marine ecosystem sustainability

The European-Commission—funded project ‘Citclops’ (Citizens’ observatory for coast and ocean optical monitoring) developed methods, tools and sensors, which can be used by citizens to monitor natural waters, with a strong focus on long-term data series related to environmental sciences. The new sensors, based on optical technologies, respond to a number of scientific, technical and societal objectives, ranging from more precise monitoring of key environmental descriptors of the aquatic environment (water colour, transparency and fluorescence) to an improved management of data collected with citizen participation. The sensors were tested, calibrated, integrated on several platforms, scientifically validated and demonstrated in the field. The new methods and tools were tested in a citizen-science context. The general conclusion is that citizens are valuable contributors in quality and quantity to the objective of collecting, integrating and analysing fragmented and diverse environmental data. An integration of these data into data-analysis tools has a large potential to support authoritative monitoring and decision-making. In this paper, the project’s objectives, results, technical achievements and lessons learned are presented

A critical parameter to assess the environmental status of water bodies is the transparency of the water, as it is strongly affected by different water quality related components (such as the presence of phytoplankton, organic matter and sediment concentrations). One parameter to assess the water transparency is the light diffuse attenuation coefficient (Kd). In recent years, the citizen science concept has emerged as a cost-effective environmental monitoring ap proach. The latest technological advances in embedded systems and sensors also enable volunteers (citizens) to create their own devices (known as Do-It-Yourself or DIY technologies) to increase the number of environmental observations, both in time and space. With this idea, our research group has created the KdUINO, a DIY moored instrument that measures Kd. The first KdUINO versions were designed to measure the Kd of the Photosynthetically Active Radiation (PAR) in marine areas, where the optical depth of the water column can reach several tens of meters. Now, within the framework of H2020 MONOCLE project, our group is redesigning the KdUINO, mainly to retrieve Kd from near surface measurements. The new KdUINO will have multispectral capabilities, being able to estimate the light extinction coefficient also in the RGB bands. The new design of KdUINO also improves its usability in terms of facilitating its construction, mainte nance and operational use. The new version has improved it the connectivity to the Internet as well. The instrument will be able to transmit data using the Internet of Things (IoT) networks, such as LoRaWan and Sigfox. In particular, our research group participates in the initiative “The Things Network” (TTN), a global, crowdsourced, open, free and decentralised IoT network based on LoRaWAN. The new KdUINO instrument has been designed to connect to TTN nodes, bringing public coverage over the coast where the TTN is active

The study of the effects of climate change on the marine environment requires the existence of sufficiently long time series of key parameters. The study of these series allows, first, to characterize the range of variability in each particular region and, secondly, to detect trends or changes that could be attributed to anthropogenic causes. For that reason, permanent observation systems are required. Obsea is a permanent seabed cabled observatory located in Costas del Garraf area (Barcelona), deployed in 2009, that has produced a 10 years dataset of physical parameters now openly available at open repositories like Pangaea [1][2]. During such period, Obsea has became part of EMSO (The European Multidisciplinary Seafloor and water column Observatory) [3] as a test site where many marine instruments, technologies and data management protocols has been tested, included the EMSO-EGIM (EMSO Generic Instrument Module) and its data management system. Obsea is also contributing to the JERICO-RI coastal community [4], where is also contributing as a coastal observatory producing data and offering the infrastructure as a test site. As example of service, during the FP7 FixO3 project, Obsea was used during 828 days from 16-02-2015 to 31-08-2017, 150 days during the test of EGIM within the EMSODev project from 1-12-2016 to 30-4-2017 and during H2020 JERICO-Next project was used 518 days from 17-10-2017 to 21-05-2019. [1] J. del Río, “Obsea CTD 2009-2019,” 2019, 2019. [Online]. Available: https://doi.pangaea.de/10.1594/PANGAEA.902215. [Accessed: 01-Jul-2019]. [2] J. del Río, “Obsea Meteo 2010-2019,” 2019, 2019. [Online]. Available: https://doi.pangaea.de/10.1594/PANGAEA.903050. [Accessed: 01-Jul-2019]. [3] EMSO-Obsea, “EMSO-Obsea,” 2019. [Online]. Available: http://emso.eu/observatories-node/obsea/ . [Accessed: 01-Jul-2019]. [4] JERICO-RI, “JERICO-RI,” 2019. [Online]. Available: http://www.jerico-ri.eu/infrastructure-type/cabled-observatories/. [Accessed: 01-Jul-2019]. [5] D.