Multibeam data acquired in 2007 during the SVAIS cruise on board the R/VHespérides with a Simrad EM12 echo-sounder

This composite Digital Terrain Model (cDTM) is a high resolution bathymetry dataset that covers GEOMARGEN-2 surveys. Multibeam data acquired in 2013 on board the R/V Angeles Alvariño with a Kongsberg EM710 echo-sounder

This composite Digital Terrain Model (cDTM) is a high resolution bathymetry dataset that covers CASCADES-I, CASCADES-II, COSTEM-1, COSTEM-2, COSTEM-3, COSTEM-4, FORMED-2, FORMED-4 and FORMED-6 cruises. Multibeam data acquired in 2008, 2009, 2010, 2011, 2013, 2014 and 2015 on board the R/V Sarmiento de Gamboa and the R/V García del Cid with an Atlas Hydrosweep DS-3 and an Elac Seabeam 1050D echo-sounder.

This composite Digital Terrain Model (cDTM) is a high resolution bathymetry dataset that covers SALTFLU cruise. Multibeam data acquired in 2012 on board the R/V OGS Explora with a Reason 8150 echo-sounder

This Digital Terrain Model (DTM) is a high resolution bathymetry dataset that covers MEDOC survey. Multibeam data acquired in 2010 on board the R/V Sarmiento de Gamboa using an Atlas Hydrosweep DS-3 multi-beam echosounder.

This composite Digital Terrain Model (cDTM) is a high resolution bathymetry dataset that covers bathymetry surveys INSIGHT_LEG1, FRAME-OBS, FRAME-MCS and INSIGHT_LEG2 . Multibeam data acquired in 2018 and 2019 on board the R/V Sarmiento de Gamboa using an Atlas Hydrosweep DS-3 multi-beam echosounder.

This composite Digital Terrain Model (cDTM) is a high resolution bathymetry dataset that covers bathymetry surveys INDEMARES-2, ABIDES-2, ABIDES-3, ABIDES-ROV and ABIDES-5 . Multibeam data acquired in 2010, 2017 and 2018 on board the R/V Garcia del Cid using a Elac Seabeam 1050D echosounder and in 2017 on board the Sarmiento de Gamboa using an Atlas Hydrosweep DS-3 multi-beam echosounder.

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.