Data from a local source.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [depth][time][latitude][longitude]):
DENSITY (Number of days with measurments, days)
Drifting_Buoys (Data from Drifting Buoys platform type, Platform type)
Argo_Profiler (Data from Argo/Profiler platform type, Platform type)
Sea_Mammals (Data from Sea Mammals platform type, Platform type)
Fishing_Vessels (Data from Fishing Vessels platform type, Platform type)
XBT_or_XCTD_Profiles (Data from XBT or XCTD Profiles platform type, Platform type)
Bottle_Data (Data from Bottle Data platform type, Platform type)
Thermosalinographers (Data from Thermosalinographers platform type, Platform type)
Mooring (Data from Mooring platform type, Platform type)
Tide_Gauge (Data from Tide Gauge platform type, Platform type)
Gliders (Data from Gliders platform type, Platform type)
Argo_BGC (Data from Argo BGC platform type, Platform type)
Other (Data from Other platform type, Platform type)
QC_1 (Data with QC value 1, QC value)
QC_9 (Data with QC value 9, QC value)
QC_2 (Data with QC value 2, QC value)
QC_3 (Data with QC value 3, QC value)
QC_4 (Data with QC value 4, QC value)
QC_0 (Data with QC value 0, QC value)
SSJT (P01 value SSJT, P01)
POTENTIAL_TEMP (P01 value POTENTIAL_TEMP, P01)
TEMP (P01 value TEMP, P01)


Density of in-situ measurements of Water Salinity from platforms available in EMODnet-
Physics - Global, 0.1°x0.1°, Monthly

The dataset provides monthly density maps of water salinity measurements aggregated into a spatial grid with a resolution of 0.1° x 0.1°. Each grid cell contains the total number of days in the month on which salinity measurements were recorded, with values ranging from 0 (no data) to the number of days in the month. The data comes from EMODnet Physics, which integrates in situ observations from different platforms. The dataset highlights the temporal availability of salinity data at different locations.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [depth][time][latitude][longitude]):
DENSITY (Number of days with measurements, days)
In_situ_thematic_centre (Data from source in situ thematic centre, source)
Pangaea (Data from source pangaea, source)
Argo (Data from source argo, source)
Icesctd (Data from source icesctd, source)
Meop (Data from source meop, source)
Ioos (Data from source ioos, source)
Other (Data from source other, source)
QC_0 (Data with QC value 0, QC value)
QC_1 (Data with QC value 1, QC value)
QC_2 (Data with QC value 2, QC value)
QC_3 (Data with QC value 3, QC value)
QC_4 (Data with QC value 4, QC value)
QC_9 (Data with QC value 9, QC value)
CNDC (CNDCZZ01, P01)
DENS (SIGTEQ01, P01)
SVEL (SVELXXXX, P01)
TEMP_DOXY (OXYTAAOP, P01)
ASAL (P01)
PSAL (PSLTZZ01, P01)
SIGMA_THETA (SIGTPR01, P01)


Density of in-situ measurements of Winds from platforms available in EMODnet-Physics - Global, 1ºx1º, Monthly, 1970-2025

The dataset provides monthly density maps of in situ winds measurements aggregated into a spatial grid with a resolution of 1º x 1º. Each grid cell contains the total number of days in the month on which winds measurements were recorded, with values ranging from 0 (no data) to the number of days in the month. The data comes from EMODnet Physics, which integrates in situ observations from different platforms. The dataset highlights the temporal availability of winds data at different locations.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [depth][time][latitude][longitude]):
DENSITY (N_days_with_waves_observations, N of days of recording per month)