The SDC_BLS_CLIM_TS_V2 product contains Temperature and Salinity Climatologies for Black Sea including the seasonal and monthly fields for period 1955-2019 and seasonal fields for 6 decades starting from 1955 to 2019. The climatic fields were computed from the integrated Black Sea dataset that combines data extracted from the 3 major sources: 1) SeaDataNet infrastructure, 2) World Ocean Database, and 3) Coriolis Ocean Dataset for Reanalysis. The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.6.4.

The SDC_BAL_CLIM_TS_V2 product contains temperature and salinity climatologies for the Baltic Sea, including seasonal and monthly fields for the period 1955-2018 and seasonal and monthly fields for 6 decades starting from 1955 to 2018. The climatological fields were computed from a merged Baltic Sea data set that combines data extracted from two major sources: 1) SeaDataNet infrastructure and 2) Coriolis Ocean Dataset for Reanalysis. The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.6.3.

The SDC_BLS_CLIM_TS_V1 product contains Temperature and Salinity Climatologies for Black Sea including the seasonal and monthly fields for period 1955-2017 and seasonal fields for 6 decades starting from 1955 to 2014. The climatic fields were computed from the integrated Black Sea dataset that combines data extracted from the 3 major sources: 1) SeaDataNet infrastructure, 2) World Ocean Database 2018, and 3) Coriolis Ocean Dataset for Reanalysis. The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.3.1.

The SDC_BAL_TS_statistics_DP1 contains temperature and salinity means and standard deviation at different depths in basins in the Baltic Sea for every month. Based on the SeaDataCloud historical dataset SDC_BAL_DATA_TS_V2 covering the period 1900 – 2019 and merged with the Coriolis ocean dataset for reanalysis (CORA) dataset (https://www.seanoe.org/data/00351/46219/).

The SDC_MED_CLIM_TS_V2 product contains Temperature and Salinity Climatologies for Mediterranean Sea: monthly and seasonal fields for time periods 1955-2018, 1955-1984 and 1985-2018 and seasonal fields for 6 decades covering the time period 1955 to 2018. The climatic fields were computed from an integrated Mediterranean Sea data set that combines data extracted from SeaDataNet infrastructure (SDC_MED_DATA_TS_V2, https://doi.org/10.12770/2a2aa0c5-4054-4a62-a18b-3835b304fe64) and Coriolis Ocean Dataset for Reanalysis (CORA5.2) distributed by the Copernicus Marine Service (INSITU_GLO_TS_REP_OBSERVATIONS_013_001_b). The computation was done with the DIVAnd (Data-Interpolating Variational Analysis), version 2.4.0.

The SDC_MED_CLIM_TS_V1 product contains Temperature and Salinity Climatologies for Mediterranean Sea: monthly and seasonal fields for periods 1955-2017, 1955-1984 and 1985-2017 and seasonal fields for 6 decades covering the time period 1955 to 2017. The climatic fields were computed from an integrated Mediterranean Sea data set that combines data extracted from SeaDataNet infrastructure (https://doi.org/10.12770/2698a37e-c78b-4f78-be0b-ec536c4cb4b3) and Coriolis Ocean Dataset for Reanalysis (CORA5.2) distributed by the Copernicus Marine Service (http://marine.copernicus.eu/services-portfolio/access-to-products/?option=com_csw&view=details&product_id=INSITU_GLO_TS_REP_OBSERVATIONS_013_001_b). The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.4.0.

The SDC_MED_DP2 product contains 55 sliding decadal temperature fields (1955-1964, 1956-1965, 1957-1966, …, 2009-2018) at 1/8° horizontal resolution obtained in the 0-2000m layer and two derived OHC annual anomaly estimates for the 0-700m and the 0-2000m layers. Sliding decades of annual Temperature fields were obtained from an integrated Mediterranean Sea dataset covering the time period 1955-2018, which combines data extracted from SeaDataNet infrastructure at the end of July 2019 (SDC_MED_DATA_TS_V2, https://doi.org/10.12770/3f8eaace-9f9b-4b1b-a7a4-9c55270e205a) and the Coriolis Ocean Dataset for Reanalysis (CORA 5.2, accessed in July 2020, https://archimer.ifremer.fr/doc/00595/70726/). The resulting annual OHC anomaly time series span the 1960-2014 period. The analysis was performed with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.6.1.

The SDC_NAT_CLIM_TS_V2 product contains Temperature and Salinity Climatologies for the North Atlantic Ocean including the seasonal and monthly fields for 7 decades starting from 1950 to 2019. One resolution has been processed : 1/2°. The climatic fields were computed from the integrated North Atlantic Ocean dataset that combines data extracted from the 2 major sources: SeaDataNet infrastructure and Coriolis Ocean Dataset for Reanalysis (CORA). The computation was done with the DIVAnd software.

The SDC_NAT_CLIM_TS_V1 product contains Temperature and Salinity Climatologies for the North Atlantic Ocean including the seasonal and monthly fields for period 1955-2015 and seasonal fields for 6 decades starting from 1955 to 2015. Two resolutions have been processed : 1/2° and 1/4°. The climatic fields were computed from the integrated North Atlantic Ocean dataset that combines data extracted from the 2 major sources: SeaDataNet infrastructure and Coriolis Ocean Dataset for Reanalysis (CORA). The computation was done with the DIVA software, version 4.7.2.

The SDC_NAT_DP1 product contains the North Atlantic Ocean monthly climatology for mixed layer depth (MLD) based on temperature climatology spanning 60 years (1955-2015). The MLD fields have spatial resolution 1/4°. The profiles of temperature combines data from 2 major sources, the SeaDataNet infrastructure and a part of data of the Coriolis Ocean Dataset for Reanalysis (CORA). The used climatology is the SeaDataCloud North Atlantic Ocean Temperature Climatology V1 (https://doi.org/10.13155/61810) done with the DIVA software, version 4.7.2. The product was developed in framework of the SeaDataCloud project. This product must be considered as feasibility study for the next phases, it is a beta-version and that further research needs to be done before its usage from users.