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Seasonal Climatology of Dissolved Oxygen concentration for Loire River for the period 19632020 and for the following seasons:  winter: JanuaryMarch,  spring: AprilJune,  summer: JulySeptember,  autumn: OctoberDecember Observational data span from 1963 to 2020. Depth levels (m): 125.0, 100.0, 75.0, 50.0,40.0, 30.0, 25.0, 20.0, 15.0, 10.0, 8.0, 6.0, 4.0, 2.0, 0.0 Data Sources: observational data from SeaDataNet/EMODNet Chemistry Data Network. Description of DIVAnd analysis: The computation was done with DIVAnd (DataInterpolating Variational Analysis in n dimensions), version 2.7.4, using GEBCO 30sec topography for the spatial connectivity of water masses. The horizontal resolution of the produced DIVAnd maps grids is 0.01 degrees. Correlation length was optimized and filtered vertically and a seasonallyaveraged profile was used. Signal to noise ratio was fixed to 1 for vertical profiles and to 0.1 for time series to account for the redundancy in the time series observations. Logarithmic transformation applied to the data prior to the analysis. Background field: the data mean value is subtracted from the data. . Detrending of data: no, Advection constraint applied: no. Units: umol/l.

Seasonal Climatology of Chlorophylla for Loire River for the period 19762020 and for the following seasons:  winter: JanuaryMarch,  spring: AprilJune,  summer: JulySeptember,  autumn: OctoberDecember Observational data span from 1976 to 2020. Depth levels (m): 125.0, 100.0, 75.0, 50.0,40.0, 30.0, 25.0, 20.0, 15.0, 10.0, 8.0, 6.0, 4.0, 2.0, 0.0 Data Sources: observational data from SeaDataNet/EMODNet Chemistry Data Network. Description of DIVAnd analysis: The computation was done with DIVAnd (DataInterpolating Variational Analysis in n dimensions), version 2.7.4, using GEBCO 30sec topography for the spatial connectivity of water masses. The horizontal resolution of the produced DIVAnd maps grids is 0.01 degrees. Correlation length was optimized and filtered vertically and a seasonallyaveraged profile was used. Signal to noise ratio was fixed to 1 for vertical profiles and to 0.1 for time series to account for the redundancy in the time series observations. Logarithmic transformation applied to the data prior to the analysis. Background field: the data mean value is subtracted from the data. . Detrending of data: no, Advection constraint applied: no. Units: mg/m^3.

Seasonal Climatology of Phosphate for Loire River for the period 19642019 and for the following seasons:  winter: JanuaryMarch,  spring: AprilJune,  summer: JulySeptember,  autumn: OctoberDecember Observational data span from 1964 to 2019. Depth levels (m): 125.0, 100.0, 75.0, 50.0,40.0, 30.0, 25.0, 20.0, 15.0, 10.0, 8.0, 6.0, 4.0, 2.0, 0.0 Data Sources: observational data from SeaDataNet/EMODNet Chemistry Data Network. Description of DIVAnd analysis: The computation was done with DIVAnd (DataInterpolating Variational Analysis in n dimensions), version 2.7.4, using GEBCO 30sec topography for the spatial connectivity of water masses. The horizontal resolution of the produced DIVAnd maps grids is 0.01 degrees. Correlation length was optimized and filtered vertically and a seasonallyaveraged profile was used. Signal to noise ratio was fixed to 1. Logarithmic transformation applied to the data prior to the analysis. Background field: the data mean value is subtracted from the data. The weight of time series was decreased by a factor of 10 relative to the weight of the profiles to account for the redundancy in the time series observations. Detrending of data: no, Advection constraint applied: no. Units: umol/l.

Seasonal Climatology of Dissolved Inorganic Nitrogen (DIN) for Loire River for the period 19902019 and for the following seasons:  winter: JanuaryMarch,  spring: AprilJune,  summer: JulySeptember,  autumn: OctoberDecember Observational data span from 1990 to 2019. Depth levels (m): 125.0, 100.0, 75.0, 50.0,40.0, 30.0, 25.0, 20.0, 15.0, 10.0, 8.0, 6.0, 4.0, 2.0, 0.0 Data Sources: observational data from SeaDataNet/EMODNet Chemistry Data Network. Description of DIVAnd analysis: The computation was done with DIVAnd (DataInterpolating Variational Analysis in n dimensions), version 2.7.4, using GEBCO 30sec topography for the spatial connectivity of water masses. The horizontal resolution of the produced DIVAnd maps grids is 0.01 degrees. Correlation length was optimized and filtered vertically and a seasonallyaveraged profile was used. Signal to noise ratio was fixed to 1 for vertical profiles and to 0.1 for time series to account for the redundancy in the time series observations. Logarithmic transformation applied to the data prior to the analysis. Background field: the data mean value is subtracted from the data. . Detrending of data: no, Advection constraint applied: no. Units: umol/l.

Seasonal Climatology of Silicate for Loire River for the period 19652019 and for the following seasons:  winter: JanuaryMarch,  spring: AprilJune,  summer: JulySeptember,  autumn: OctoberDecember Observational data span from 1965 to 2019. Depth levels (m): 125.0, 100.0, 75.0, 50.0,40.0, 30.0, 25.0, 20.0, 15.0, 10.0, 8.0, 6.0, 4.0, 2.0, 0.0 Data Sources: observational data from SeaDataNet/EMODNet Chemistry Data Network. Description of DIVAnd analysis: The computation was done with the DIVAnd (DataInterpolating Variational Analysis in n dimensions), version 2.7.4, using GEBCO 30sec topography for the spatial connectivity of water masses. The horizontal resolution of the produced DIVAnd maps grids is 0.01 degrees. Correlation length was optimized and filtered vertically and a seasonallyaveraged profile was used. Signal to noise ratio was fixed to 1. Logarithmic transformation applied to the data prior to the analysis. Background field: the data mean value is subtracted from the data. The weight of time series was decreased by a factor of 10 relative to the weight of the profiles to account for the redundancy in the time series observations. Detrending of data: no, Advection constraint applied: no. Units: umol/l.