GLODAP is an internally consistent data product for interior ocean “carbon relevant” variables, but in practice this means “everything that is measured from water samples” taken on hydrographic cruises that takes measurements of biogeochemistry, including inorganic carbon measurements. GLODAP was first published in 2004, and a new massively increased version, GLODAPv2, was published in 2016. A new version – GLODAPv2.2018 – will be published in early 2019. GLODAP have three main products: 1) A collection of individual cruise file in a consistent format and 1st level QC, 2) A product that has been bias corrected through 2nd level QC procedures, and 3) an interpolated product on a regular grid.

Data from FerryBoxes on ships of opportunity going on permanent routes are stored inside this database (ferrydata.hzg.de). Parameters are temperature, salinity, chlorophyll-a fluorescence, oxygen and different others. The data model is transect oriented. A data portal to access and visualise the data is also provided.

GO-SHIP, the Global Ocean Ship-Based Hydrographic Investigations Program, is conducting repeat hydrography with high accuracy high precision reference measurements of a variety of EOVs through the whole water column. A selection of continent-to-continent full depth sections are repeated at roughly decadal intervals. The data archive for CTD data and bottle data is currently at CCHDO, although the CTD data from European cruises are available at Seadatanet as well.

EMODnet Physics provides a combined array of services and functionalities to obtain free-of-charge data, meta-data and data products on the physical conditions of European sea basins and oceans as recorded by more than 20.000 platforms (fixed stations, surface loads, ARGOs, HF radars, etc.) The system provides full interoperability with third-party software through WMS services, Web Services and Web catalogues in order to exchange data and products according to the most recent standards. EMODnet Physics builds on and is based on the cooperation and collaboration with the three established pillars of the European Oceanographic Community: 1) EuroGOOS and its Regional Operational Oceanographic Systems (ROOSs); 2) Copernicus Marine Environment Monitoring Service (CMEMS) , and in particular with the In Situ Thematic Assembly Center (INSTAC); 3) SeaDataNet network of National Oceanographic Data Centres (NODCs). Data are made available by EMODnet Physics, funded by the European Commission Directorate General for Maritime Affairs and Fisheries, in collaboration with Copernicus Marine Service (CMEMS) and EuroGOOS ROOSs INSTAC. Delayed mode data integrates the best available version of in situ data. These data are collected from national observing systems operated by EuroGOOS ROOS members, SeaDataNet NODCs completed by main global networks

The in-situ TAC integrates and quality control in a homogeneous manner in situ data from outside Copernicus Marine Environment Monitoring Service (CMEMS) data providers to fit the needs of internal and external users. It provides access to integrated datasets of core parameters for initialization, forcing, assimilation and validation of ocean numerical models which are used for forecasting, analysis and re-analysis of ocean physical and biogeochemical conditions. The in-situ TAC comprises a global in-situ centre and 6 regional in-situ centres (one for each EuroGOOS ROOSs). The focus of the CMEMS in-situ TAC is on parameters that are presently necessary for Copernicus Monitoring and Forecasting Centres namely temperature, salinity, sea level, current, waves, chlorophyll / fluorescence, oxygen and nutrients. The initial focus has been on observations from autonomous observatories at sea (e.g. floats, buoys, gliders, ferrybox, drifters, and ships of opportunity). The second objective was to integrate products over the past 25 to 50 years for re-analysis purposes... Gathering data from outsider organisations requires strong mutual agreements. Integrating data into ONE data base requires strong format standard definition and quality control procedures. The complexity of handling in situ observation depends not only on the wide range of sensors that have been used to acquire them but, in addition to that, the different operational behaviour of the platforms (i.e vessels allow on board human supervision, while the supervision of others should be put off until recovering or message/ping reception)°