Julio ADCP current measurements, 2013

Summary:
JULIO - Acoustic Doppler Current Profiler (ADCP) current measurements. JULIO - ADCP ; JULIO (Judicious Location for Intrusions Observations) moori
ng is located close to the 100 m-deep isobath (around 5.25 degEast and 43.13 degNorth), offshore Marseille. With its bottom-moored (300kHz) ADCP, it enables measuring horizon
tal currents (every 4 m and every 30 minutes) through the water column, and among others, identifying periods of exchange between the Northern Current and the continental she
lf.

cdm_data_type = Other
VARIABLES:
depth (Depth of measurement, m)
time (seconds since 1970-01-01T00:00:00Z)
latitude (Latitude of each location, degrees_north)
longitude (Longitude of each location, degrees_east)
STATION_ID (Station identifier)
MPMN (Moored instrument DEPH, m)
EWCT (Eastward Sea Water Velocity, m s-1)
NSCT (Northward Sea Water Velocity, m s-1)
VCSP (Bottom-top current component, m s-1)
ERVV (Error velocity, m s-1)
CSPD (Speed mean of water current in the water body, m s-1)
CDIR (Direction (towards) of water current in the water body, m s-1)
ECI1 (Echo intensity per beam 1, count)
ECI2 (Echo intensity per beam 2, count)
ECI3 (Echo intensity per beam 3, count)
ECI4 (Echo intensity per beam 4, count)
PGB1 (Pings received as a percentage of pings sent per beam 1, percent)
PGB2 (Pings received as a percentage of pings sent per beam 2, percent)
PGB3 (Pings received as a percentage of pings sent per beam 3, percent)
PGB4 (Pings received as a percentage of pings sent per beam 4, percent)
QCflag (Overall quality flag, 1)
... (5 more variables)


Julio ADCP current measurements, 2014


Julio ADCP current measurements, 2020


Julio ADCP current measurements, 2021


Julio ADCP current measurements, 2022

Summary:
JULIO (Judicious Location for Intrusions Observations) mooring is located close to the 100 m-deep isobath (around 5.25?E and 43.13?N), offshore Marseille. With its bottom-moored (300kHz) Acoustic Doppler Current Profiler (ADCP), it enables measuring horizontal currents (every 4 m and every 30 minutes) through the water column, and among others, identifying periods of exchange between the Northern Current and the continental shelf.

cdm_data_type = Other
VARIABLES:
STATION (Station identifier)
depth (DEPH of measurement, m)
time (seconds since 1970-01-01T00:00:00Z)
latitude (Latitude of each location, degrees_north)
longitude (Longitude of each location, degrees_east)
MPMN (Moored instrument DEPH, m)
EWCT (Eastward Sea Water Velocity, m s-1)
NSCT (Northward Sea Water Velocity, m s-1)
VCSP (Bottom-top current component, m s-1)
ERVV (Error velocity, m s-1)
CSPD (Speed mean of water current in the water body, m s-1)
CDIR (Direction (towards) of water current in the water body, m s-1)
ECI1 (Echo intensity per beam 1, count)
ECI2 (Echo intensity per beam 2, count)
ECI3 (Echo intensity per beam 3, count)
ECI4 (Echo intensity per beam 4, count)
PGB1 (Pings received as a percentage of pings sent per beam 1, percent)
PGB2 (Pings received as a percentage of pings sent per beam 2, percent)
PGB3 (Pings received as a percentage of pings sent per beam 3, percent)
PGB4 (Pings received as a percentage of pings sent per beam 4, percent)
QCflag (Overall quality flag, 1)
TIME_QC (Time quality flag, 1)
POSITION_QC (Position quality flag, 1)
EWCT_QC (Overall quality flag, 1)
NSCT_QC (Overall quality flag, 1)
VCSP_QC (Overall quality flag, 1)


JULIO, Judicious Location for Intrusions Observations (Julio ADCP current measurements, 2023)

Summary:
JULIO JULIO (Judicious Location for Intrusions Observations) mooring is located close to the 100 m-deep isobath (around 5.25?E and 43.13?N), offshore Marseille. With its bottom-moored (300kHz) Acoustic Doppler Current Profiler (ADCP), it enables measuring horizontal currents (every 4 m and every 30 minutes) through the water column, and among others, identifying periods of exchange between the Northern Current and the continental shelf.

cdm_data_type = Other
VARIABLES:
STATION (Station identifier)
depth (DEPH of measurement, m)
time (seconds since 1970-01-01T00:00:00Z)
latitude (Latitude of each location, degrees_north)
longitude (Longitude of each location, degrees_east)
MPMN (Moored instrument DEPH, m)
EWCT (Eastward Sea Water Velocity, m s-1)
NSCT (Northward Sea Water Velocity, m s-1)
VCSP (Bottom-top current component, m s-1)
ERVV (Error velocity, m s-1)
CSPD (Speed mean of water current in the water body, m s-1)
CDIR (Direction (towards) of water current in the water body, m s-1)
ECI1 (Echo intensity per beam 1, count)
ECI2 (Echo intensity per beam 2, count)
ECI3 (Echo intensity per beam 3, count)
ECI4 (Echo intensity per beam 4, count)
PGB1 (Pings received as a percentage of pings sent per beam 1, percent)
PGB2 (Pings received as a percentage of pings sent per beam 2, percent)
PGB3 (Pings received as a percentage of pings sent per beam 3, percent)
PGB4 (Pings received as a percentage of pings sent per beam 4, percent)
QCflag (Overall quality flag, 1)
TIME_QC (Time quality flag, 1)
POSITION_QC (Position quality flag, 1)
EWCT_QC (Overall quality flag, 1)
NSCT_QC (Overall quality flag, 1)
VCSP_QC (Overall quality flag, 1)


Maupiti Hoe 2018 (CSV files)

Summary:
The scientific objectives of the project MAUPITI HOE are to understand the hydrodynamics of an archetypal reef-lagoon system of a high volcanic reef island. The physical functioning of the hydrosystem involves a fine coupling between water levels, waves (including wind, infragravity and VLF waves), currents and seabed structure (reef roughness). The present data focuses on the reef barrier dynamics

cdm_data_type = TimeSeries
VARIABLES:
station_id
time (Datetime, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
sea_surface_swell_wave_significant_height (meter)
sea_surface_infragravity_waves_significant_height (Sea Surface Wave Significant Height, meter)
surface_elevation


Maupiti Hoe 2018 (NetCDF files)

Summary:
The scientific objectives of the project MAUPITI HOE are to understand the hydrodynamics of an archetypal reef-lagoon system of a high volcanic reef island. The physical functioning of the hydrosystem involves a fine coupling between water levels, waves (including wind, infragravity and VLF waves), currents and seabed structure (reef roughness). The present data focuses on the reef barrier dynamics

cdm_data_type = TimeSeries
VARIABLES:
station_name
station_id (string)
time (datetime, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
sea_surface_swell_wave_significant_height (hauteur des vagues en surface, meter)
sea_surface_infragravity_waves_significant_height (hauteur des vagues en surface infragravité, meter)
altitude (Surface Elevation, m)


Meteorologie locale en baie de Marseille : Frioul (2007-2019)

Summary:
Meteorological data from the Bay of Marseille based on the measurements taken on the site located on the Pomegues island

cdm_data_type = Point
VARIABLES:
time (Datetime, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Direction_Max (degree)
Rafale_m_s (Rafale(m/s), m.s-1)
Vitesse_moyenne_max (Vitesse Moyenne Max (m/s), m.s-1)
Direction (Direction (degree), degree)
Temperature (Temperature (degree C), degree_C)
Humidite_relative (Humidite Relative (%), %)
Rayonnement_J_cm2 (Rayonnement(J/cm2), J.cm-2)


Meteorologie locale en baie de Marseille : Frioul (from 2024-06)

Summary:
Meteorological data from the Bay of Marseille based on the measurements taken on the site located on the Pomegues island (Lat 43.2744, Long 5.3072)

cdm_data_type = Point
VARIABLES:
time (Date Time, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Battery (Battery [volts], volts)
Internal_Temperature (Internal Temperature [degree C], degree_C)
Air_Temperature (Air Temperature [degree C], degree_C)
Humidity (Humidity [%], percent %)
Dew_point (Dew Point [degree C], degree_C)
Wind_speed (m.s-1)
Wind_Direction (Wind From Direction, degree)
Solar_Radiation (Solar Radiation [W.m-2], W.m-2)


Meteorologie locale en baie de Marseille : site Endoume

Summary:
Meteorological data from Marseille based on the measurements taken from Endoume site

cdm_data_type = Point
VARIABLES:
time (Datetime, seconds since 1970-01-01T00:00:00Z)
temperature_C (Temperature[C], degrees C)
humidity (Humidity[%], %)
dew_point_C (Dew Point[C], degree C)
sealevel_pressure_hPa (Sealevel Pressure[h Pa], hPa)
avg_wind_speed_m_s (Wind Speed, m.s-1)
gust_speed_m_s (Wind Speed Of Gust, m.s-1)
winddir_degree (Wind From Direction, degree)
rainfall00 (mm)
longitude (degrees_east)
latitude (degrees_north)


Meteorologie locale site "climed" chaine de l'Etoile

Summary:
Meteorological data from Marseille based on the measurements taken on "CLIMED" site chaine de l'Etoile

cdm_data_type = Point
VARIABLES:
time (Datetime, seconds since 1970-01-01T00:00:00Z)
longitude (degrees_east)
latitude (degrees_north)
Humidity (Humidity (%), percent %)
Temperature_Air (Temperature Air (degree C), degree C)
Solar_radiation (Solar Radiation (W.m^-2), W.m-2)
Wind_direction (degree)
Wind_speed (m.s-1)


Meteorologie locale site Toulon

Summary:
Meteorological data from  Toulon France (Var)

cdm_data_type = Point
VARIABLES:
time (Datetime, seconds since 1970-01-01T00:00:00Z)
Temperature (Temperature (degree C))
Humidity (Humidity (%))
Rainfall (Rainfall (6mn))
Solar_radiation (Solar Radiation (W.m^-2))
Wind_Direction (Wind From Direction)
Wind_speed
Gust_Speed (Wind Speed Of Gust)
Gust_Direction (Gust Direction (degree))
Air_pressure_at_station_level (Air Pressure)
Air_pressure_at_sea_levele (Air Pressure)
latitude (degrees_north)
longitude (degrees_east)


NDACC 2003-2018 HDF files (Network for Detection of Atmospheric Composition Change)

Summary:
reseau international de surveillance sur le long terme de la stratosphere et de la haute troposphere cree en 1991. Il a pour objectifs la detection des changements de composition chimique et de temperature d'origine naturelle ou anthropique ainsi que l'etude des interactions entre chimie et climat, et la validation sur le long terme des observations des memes parametres par les nombreux satellites mis en orbite depuis lors. Les activites francaises composent le Service d'Observation NDACC-France du CNRS /INSU coordonne au niveau national par l'Observatoire de l'universite de Versailles Saint-Quentin

cdm_data_type = Other
VARIABLES:
url
name (File Name)
lastModified (Last Modified, seconds since 1970-01-01T00:00:00Z)
size (bytes)
fileType (File Type)

OSU PYTHEAS - Observatoire Haute Provence - Institut Pierre-Simon Laplace


NDACC 2017 netcdf files (Network for Detection of Atmospheric Composition Change)

Summary:
reseau international de surveillance sur le long terme de la stratosphere et de la haute troposphere cree en 1991. Il a pour objectifs la detection des changements de composition chimique et de temperature d'origine naturelle ou anthropique ainsi que l'etude des interactions entre chimie et climat, et la validation sur le long terme des observations des memes parametres par les nombreux satellites mis en orbite depuis lors. Les activites francaises composent le Service d'Observation NDACC-France du CNRS /INSU coordonne au niveau national par l'Observatoire de l'universite de Versailles Saint-Quentin

cdm_data_type = Other
VARIABLES:
altitude (m)
O3_NUMBER_DENSITY_ABSORPTION_DIFFERENTIAL (molec m-3)
O3_NUMBER_DENSITY_ABSORPTION_DIFFERENTIAL_UNCERTAINTY_COMBINED_STANDARD (molec m-3)
O3_NUMBER_DENSITY_ABSORPTION_DIFFERENTIAL_UNCERTAINTY_RANDOM_STANDARD (molec m-3)
O3_NUMBER_DENSITY_ABSORPTION_DIFFERENTIAL_UNCERTAINTY_SYSTEMATIC_STANDARD (molec m-3)
O3_NUMBER_DENSITY_ABSORPTION_DIFFERENTIAL_RESOLUTION_ALTITUDE_IMPULSE_RESPONSE_FWHM (m)
O3_MIXING_RATIO_VOLUME_DERIVED (ppmv)
O3_MIXING_RATIO_VOLUME_DERIVED_UNCERTAINTY_COMBINED_STANDARD (ppmv)
O3_MIXING_RATIO_VOLUME_DERIVED_UNCERTAINTY_RANDOM_STANDARD (ppmv)
O3_MIXING_RATIO_VOLUME_DERIVED_UNCERTAINTY_SYSTEMATIC_STANDARD (ppmv)
PRESSURE_INDEPENDENT (hPa)
TEMPERATURE_INDEPENDENT (K)
PRESSURE_INDEPENDENT_SOURCE
TEMPERATURE_INDEPENDENT_SOURCE
O3_NUMBER_DENSITY_ABSORPTION_DIFFERENTIAL_RESOLUTION_ALTITUDE_DF_CUTOFF (m)
O3_NUMBER_DENSITY_ABSORPTION_DIFFERENTIAL_RESOLUTION_ALTITUDE_ORIGINATOR (m)
O3_NUMBER_DENSITY_ABSORPTION_DIFFERENTIAL_UNCERTAINTY_ORIGINATOR (molec m-3)
O3_MIXING_RATIO_VOLUME_DERIVED_UNCERTAINTY_ORIGINATOR (ppmv)
O3_NUMBER_DENSITY_ABSORPTION_DIFFERENTIAL_RESOLUTION_ALTITUDE_DF_NORMALIZED_FREQUENCY (1)
O3_NUMBER_DENSITY_ABSORPTION_DIFFERENTIAL_RESOLUTION_ALTITUDE_DF_TRANSFER_FUNCTION (1)
O3_NUMBER_DENSITY_ABSORPTION_DIFFERENTIAL_RESOLUTION_ALTITUDE_DISTANCE_FROM_IMPULSE (1)
O3_NUMBER_DENSITY_ABSORPTION_DIFFERENTIAL_RESOLUTION_ALTITUDE_IMPULSE_RESPONSE (1)


NDACC 2018 (Network for Detection of Atmospheric Composition Change)


OCARINA - Raw Data .hdf5 files and Python programs

Summary:
Turbulent air-sea fluxes and associated variables from the OCARINA wave-following and drifting platform (Bourras et al. 2014, DOI: 10.1175/JTECH-D-13-00055.)

cdm_data_type = Other
VARIABLES:
url
name (File Name)
lastModified (Last Modified, seconds since 1970-01-01T00:00:00Z)
size (bytes)
fileType (File Type)


OCARINA AMOP 2014 experiment, prototype 1, level 2 surface and air-sea turbulent fluxes

Summary:
OCARINA level 2 data, calibrated. Turbulent air-sea fluxes and associated variables from the OCARINA wave-following and drifting platform (Bourras et al. 2014, DOI: 10.1175/JTECH-D-13-00055.)

cdm_data_type = TimeSeries
VARIABLES:
time2 (Time)
time (seconds since 1970-01-01T00:00:00Z)
longitude (degrees_east)
latitude (degrees_north)
pair (Air pressure, hPa)
tair (Air Temperature, degree_C)
hur (Relative air humidity, 1)
sst (degree_C)
rho (Density of air, kg m-3)
rlds (downwelling longwave radiation flux, positive downward, W m-2)
rlus (upwelling longwave radiation flux, positive upward, W m-2)
rsds (downwelling shortwave radiation flux, positive downward, W m-2)
rsus (upwelling shortwave radiation flux, positive upward, W m-2)
wdir (Direction of the wind vector with respect to ground, measured positive clockwise from due north, degrees)
wspd (Magnitude of wind velocity with respect to ground, m s-1)
u10n (Equivalent neutral wind extrapolated at a 10-m height, from eddy-covariance calculation, m s-1)
hsw (Significant wave height, calculated as four times the square root of the integration of the vertical platform velocity, m)
hsw_day (daily estimate of the significant wave height, calculated as four times the square root of the integration of the vertical platform velocity, m)
Tsw (Inverse of the frequency at the maximum of the power spectrum of the vertical platform velocity (experimental), s)
Tsw_day (Daily estimate of the inverse of the frequency at the maximum of the power spectrum of the vertical platform velocity (experimental), s)
tauu (Eastward component of the surface wind stress vector, from eddy-covariance calculation, Pa)
tauv (Northward component of the surface wind stress vector, from eddy-covariance calculation, Pa)
ustar (Turbulent surface friction velocity, from eddy-covariance calculation, m s-1)
hsv (Turbulent surface buoyancy flux, from eddy-covariance calculation, W m-2)
zL (Monin-Obukhov ratio, which quantifies surface boundary layer stability, from eddy-covariance calculation, 1)
ustar_bulk (Turbulent surface friction velocity, COARE 3.0 (please see header) drag parameterization adjusted to OCARINA data, m s-1)
... (12 more variables)


OCARINA BBWAVES 2015 experiment, prototype 1, level 2 surface and air-sea turbulent fluxes

Summary:
Turbulent air-sea fluxes and associated variables from the OCARINA wave-following and drifting platform (Bourras et al. 2014, DOI: 10.1175/JTECH-D-13-00055.)

cdm_data_type = TimeSeries
VARIABLES:
time2 (Time)
time (seconds since 1970-01-01T00:00:00Z)
longitude (degrees_east)
latitude (degrees_north)
pair (Air pressure, hPa)
tair (Air Temperature, degree_C)
hur (Relative air humidity, 1)
sst (degree_C)
rho (Density of air, kg m-3)
rlds (downwelling longwave radiation flux, positive downward, W m-2)
rlus (upwelling longwave radiation flux, positive upward, W m-2)
rsds (downwelling shortwave radiation flux, positive downward, W m-2)
rsus (upwelling shortwave radiation flux, positive upward, W m-2)
wdir (Direction of the wind vector with respect to ground, measured positive clockwise from due north, degrees)
wspd (Magnitude of wind velocity with respect to ground, m s-1)
u10n (Equivalent neutral wind extrapolated at a 10-m height, from eddy-covariance calculation, m s-1)
hsw (Significant wave height, calculated as four times the square root of the integration of the vertical platform velocity, m)
hsw_day (daily estimate of the significant wave height, calculated as four times the square root of the integration of the vertical platform velocity, m)
Tsw (Inverse of the frequency at the maximum of the power spectrum of the vertical platform velocity (experimental), s)
Tsw_day (Daily estimate of the inverse of the frequency at the maximum of the power spectrum of the vertical platform velocity (experimental), s)
tauu (Eastward component of the surface wind stress vector, from eddy-covariance calculation, Pa)
tauv (Northward component of the surface wind stress vector, from eddy-covariance calculation, Pa)
ustar (Turbulent surface friction velocity, from eddy-covariance calculation, m s-1)
hsv (Turbulent surface buoyancy flux, from eddy-covariance calculation, W m-2)
zL (Monin-Obukhov ratio, which quantifies surface boundary layer stability, from eddy-covariance calculation, 1)
ustar_bulk (Turbulent surface friction velocity, COARE 3.0 (please see header) drag parameterization adjusted to OCARINA data, m s-1)
... (12 more variables)


OCARINA BBWAVES 2015 experiment, prototype 2, level 2 surface and air-sea turbulent fluxes

Summary:
Turbulent air-sea fluxes and associated variables from the OCARINA wave-following and drifting platform (Bourras et al. 2014, DOI: 10.1175/JTECH-D-13-00055.)

cdm_data_type = TimeSeries
VARIABLES:
time2 (Time)
time (seconds since 1970-01-01T00:00:00Z)
longitude (degrees_east)
latitude (degrees_north)
pair (Air pressure, hPa)
tair (Air Temperature, degree_C)
hur (Relative air humidity, 1)
sst (degree_C)
rho (Density of air, kg m-3)
wdir (Direction of the wind vector with respect to ground, measured positive clockwise from due north, degrees)
wspd (Magnitude of wind velocity with respect to ground, m s-1)
u10n (Equivalent neutral wind extrapolated at a 10-m height, from eddy-covariance calculation, m s-1)
hsw (Significant wave height, calculated as four times the square root of the double integration of the vertical platform acceleration, m)
hsw_day (daily estimate of the significant wave height, calculated as four times the square root of the double integration of the vertical platform acceleration, m)
Tsw (Inverse of the frequency at the maximum of the power spectrum of the vertical platform velocity (experimental), s)
Tsw_day (Daily estimate of the inverse of the frequency at the maximum of the power spectrum of the vertical platform velocity (experimental), s)
tauu (Eastward component of the surface wind stress vector, from eddy-covariance calculation, Pa)
tauv (Northward component of the surface wind stress vector, from eddy-covariance calculation, Pa)
ustar (Turbulent surface friction velocity, from eddy-covariance calculation, m s-1)
hsv (Turbulent surface buoyancy flux, from eddy-covariance calculation, W m-2)
zL (Monin-Obukhov ratio, which quantifies surface boundary layer stability, from eddy-covariance calculation, 1)
ustar_bulk (Turbulent surface friction velocity, COARE 3.0 (please see header) drag parameterization adjusted to OCARINA data, m s-1)
hsv_bulk (Turbulent surface buoyancy flux, positive upward, from bulk calculation, W m-2)
hfss_bulk (Turbulent surface sensible heat flux, positive upward, from bulk calculation, W m-2)
hfls_bulk (Turbulent surface latent heat flux, positive upward, from bulk calculation, W m-2)
zL_bulk (Monin-Obukhov ratio, which quantifies surface boundary layer stability, from bulk calculation, 1)
... (8 more variables)


OCARINA BBWAVES 2016 experiment, prototype 1, level 2 surface and air-sea turbulent fluxes


OCARINA FROMVAR 2011 experiment, prototype 1, level 2 surface and air-sea turbulent fluxes


OCARINA STRASSE 2012 experiment, prototype 1, level 2 surface and air-sea turbulent fluxes


OCARINA UPCAST 2017 experiment, prototype 1, level 2 surface and air-sea turbulent fluxes


OSCAHR CRUISE SADCP Tethys data

Summary:
The scientific objectives of the OSCAHR (Observing Submesoscale Coupling At High Resolution) project are to characterize a submesoscale dynamical structure and to study its influence on the distribution of biogenic elements and on the structure and dynamics of the first trophic levels associated with it

cdm_data_type = TrajectoryProfile
VARIABLES:
REFERENCE_DATE_TIME (Date of reference julian day)
JULD (Julian day relative to REFERENCE_DATE_TIME)
time (ADCP Julian day relative to REFERENCE_DATE_TIME, seconds since 1970-01-01T00:00:00Z)
JULD_j1 (Begin Ensemble Julian day relative to REFERENCE_DATE_TIME)
JULD_j2 (End Ensemble Julian day relative to REFERENCE_DATE_TIME)
DATE_TIME_UTC (ASCII gregorian date and time)
CAS_DATE_FLAG (Flag on date)
latitude (Latitude of each location, degrees_north)
longitude (Longitude of each location, degrees_east)
UVEL_SHIP (Eastward Sea Water Velocity At Sea Floor, meter per second)
VVEL_SHIP (Northward Sea Water Velocity At Sea Floor, meter per second)
depth (Depth of bin center, m)
TEMP_ADCP (ADCP transducer temperature, Degree_Celsius)
HDG (Ship Heading, Degree)
HDG_G1 (Ship Heading G1, Degree)
HDG_G2 (Ship Heading G2, Degree)
PTCH (Ship Pitch, Degree)
ROLL (Ship Roll, Degree)
NB_ENS_AVE (Number of averaged pings per ensemble)
U_BOTTOM (Bottom Track Eastward velocity, meter per second)
V_BOTTOM (Bottom Track Northward velocity, meter per second)
W_BOTTOM (Bottom Track Vertical velocity, meter per second)
RNG_BOTTOM (Bottom Range, meter)
UVEL_ADCP (Eastward Sea Water Velocity, meter per second)
... (29 more variables)


Rhone : Suivi des eaux du panache du Rhone en zone cotiere (CSV files)

Summary:
Suivi des eaux du Rhone en zone cotiere par mesure haute frequence de la temperature et de la salinite de surface

cdm_data_type = TimeSeries
VARIABLES:
Station
latitude (degrees_north)
longitude (degrees_east)
time (DateTime, seconds since 1970-01-01T00:00:00Z)
Temperature (degree_C)
Salinite (PSU)


Rhone : Suivi des eaux du panache du Rhone en zone cotiere (Netcdf files)

Summary:
Rhone : Suivi des eaux du panache du Rhone en zone cotiere. Suivi des eaux du Rhone en zone cotiere par mesure haute frequence de la temperature et de la salinite de surface

cdm_data_type = TimeSeries
VARIABLES:
station_name
station (string)
latitude (degrees_north)
longitude (degrees_east)
time (datetime, seconds since 1970-01-01T00:00:00Z)
temperature (degree_C)
Salinite (PSU)


RochElec : Geoelectrical investigations on the Rochechouart impact structure (France)

Summary:
The Rochelec dataset gathers petrophysical and geoelectrical data from the Rochechouart impact structure (France).

cdm_data_type = Other
VARIABLES:
url
name (File Name)
lastModified (Last Modified, seconds since 1970-01-01T00:00:00Z)
size (bytes)
fileType (File Type)


SOOT-SEA : Impact of Black Carbon in South East Asia (CSV file)

Summary:
Impact of Black Carbon in South East Asia

cdm_data_type = Point
VARIABLES:
sample
latitude (degrees_north)
longitude (degrees_east)
time (Datetime, seconds since 1970-01-01T00:00:00Z)
cycle
volume_filtered (m3)
Al (Aluminium, ug.m-3)
Ti (Titane, ug.m-3)
V (Vanadium, ug.m-3)
Cr (Chrome, ug.m-3)
Mn (Manganese, ug.m-3)
Fe (Fer, ug.m-3)
Co (Cobalt, ug.m-3)
Ni (Nickel, ug.m-3)
Cu (Cuivre, ug.m-3)
Zn (Zinc, ug.m-3)
As (Arsenic, ug.m-3)
Ag (Argent, ug.m-3)
Cd (Cadmium, ug.m-3)
Sn (Etain, ug.m-3)
Sb (Antimoine, ug.m-3)
Cs (Cesium, ug.m-3)
Ce (Cerium, ug.m-3)
Nd (Neodyme, ug.m-3)
Pb208 (ug.m-3)
U (Uranium, ng.m-3)
Hg (Mercure, ng.m-3)
... (81 more variables)


SOOT-SEA : Impact of Black Carbon in South East Asia 2019-2020 (NetCDF file)

Summary:
Study carried out during a complete annual cycle (weekly frequency). Aerosols were sampled for 24 hours using a large volume PM2.5 collector. Samples collected on quartz filters were analyzed to determine the concentrations of: - organic carbon (OC) and - elemental carbon (EC), - organic nitrogen (ON), - metals (Hg, Al, Ti, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, As, Ag, Cd, Sn, Sb, Cs, Ce, Nd, Pb, U), - Pb isotopes, - PAHs, sugars, ions, organic acids, humic-like substances (HULIS).The oxidizing potential (OP) of these particles was determined using the DTT (Dithiotreithol) method.

cdm_data_type = TimeSeries
VARIABLES:
station_name
Sample (count)
latitude (degree, degrees_north)
longitude (degree, degrees_east)
time (datetime, seconds since 1970-01-01T00:00:00Z)
Cycle (hour, hour)
Volume_filtered (m3)
Al (Aluminium, ug.m-3)
Ti (Titane, ug.m-3)
V (Vanadium, ug.m-3)
Cr (Chrome, ug.m-3)
Mn (Manganese, ug.m-3)
Fe (Fer, ug.m-3)
Co (Cobalt, ug.m-3)
Ni (Nickel, ug.m-3)
Cu (Cuivre, ug.m-3)
Zn (Zinc, ug.m-3)
As (Arsenic, ug.m-3)
Ag (Argent, ug.m-3)
Cd (Cadmium, ug.m-3)
Sn (Etain, ug.m-3)
Sb (Antimoine, ug.m-3)
... (87 more variables)


SUMOS ModSpray23, seasprays distribution according B21A scheme Along Track

Summary:
SUMOS ModSpray23 - Along Track. Numerical simulations using Meso-NH (v5.4) in the Bay of Biscay. The wind field is forced by the European Centre for Medium-Range Weather
Forecasts (ECMWF) model. Sea spray is generating using the OVA14, B21A and B21B sea spray generation functions. Model data is extracted 15 m above sea level.

cdm_data_type = Trajectory
VARIABLES:
time (seconds, seconds since 1970-01-01T00:00:00Z)
longitude (degrees_east)
latitude (degrees_north)
crs
MNH_B21A_Concentrations_shiplocation (#/cm^3)
MNH_B21A_Radius (um)


SUMOS ModSpray23, seasprays distribution according B21B scheme Along Track

Summary:
SUMOS ModSpray23 - Along Track. Numerical simulations using Meso-NH (v5.4) in the Bay of Biscay. The wind field is forced by the European Centre for Medium-Range Weather
Forecasts (ECMWF) model. Sea spray is generating using the OVA14, B21A and B21B sea spray generation functions. Model data is extracted 15 m above sea level.

cdm_data_type = Trajectory
VARIABLES:
time (seconds, seconds since 1970-01-01T00:00:00Z)
longitude (degrees_east)
latitude (degrees_north)
crs
MNH_B21B_Concentrations_shiplocation (#/cm^3)
MNH_B21B_Radius (um)


SUMOS ModSpray23, seasprays distribution according OVA14 scheme Along Track

Summary:
SUMOS ModSpray23 - Along Track. Numerical simulations using Meso-NH (v5.4) in the Bay of Biscay. The wind field is forced by the European Centre for Medium-Range Weather
Forecasts (ECMWF) model. Sea spray is generating using the OVA14, B21A and B21B sea spray generation functions. Model data is extracted 15 m above sea level.

cdm_data_type = Trajectory
VARIABLES:
time (seconds, seconds since 1970-01-01T00:00:00Z)
longitude (degrees_east)
latitude (degrees_north)
crs
MNH_OVA14_Concentrations_shiplocation (#/cm^3)
MNH_OVA14_Radius (um)


SUMOS ModSpray23, wind speed at 15 m Along Track

Summary:
SUMOS ModSpray23 - Along Track. Numerical simulations using Meso-NH (v5.4) in the Bay of Biscay. The wind field is forced by the European Centre for Medium-Range Weather
Forecasts (ECMWF) model. Sea spray is generating using the OVA14, B21A and B21B sea spray generation functions. Model data is extracted 15 m above sea level.

cdm_data_type = Trajectory
VARIABLES:
time (seconds, seconds since 1970-01-01T00:00:00Z)
longitude (degrees_east)
latitude (degrees_north)
MNH_windspeed_shiplocation (m/s)
crs


Vallee du Las (Toulon), eau souterraine

Summary:
Vallee du Las (Toulon) - eau souterraine. projets de recherche KarstEAU et Dardennes, toutes les sources de la vallee du Las sont instrumentees entre les sources amont et la mer : Gouffre du Ragas, source de la retenue de Dardennes

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Dardennes_Reservoir_Water_level_elevation (Dardennes Reservoir Water Level Elevation (m Asl) Daily Average)
Ragas_karst_Water_level_elevation (Ragas Karst Water Level Elevation (m Asl) Daily Average)
Ragas_karst_Water_Temperature (Ragas Karst Water Temperature (degree C) Daily Average)
Saint_Antoine_spring_Discharge (Saint Antoine Spring Discharge (m3/s) Daily Average)


VelingaraData : geophysical and zircon data acquired in the Velingara circular depression (Senegal)

Summary:
The Velingara dataset gathers geophysical and zircon data acquired in the Velingara circular depression (Senegal). In March 2022, a field campaign was performed in this depression, since it is thought to be an impact structure. Magnetic and gravity field observations were done, as well as sampling. Several zircon grains of sample VEL29A were analysed by LA-ICP-MS, given an age of 550 Ma

cdm_data_type = Other
VARIABLES:
url
name (File Name)
lastModified (Last Modified, seconds since 1970-01-01T00:00:00Z)
size (bytes)
fileType (File Type)


Zooplankton timeseries Marseille bay (CSV file)

Summary:
describing the dynamics of the mesozooplankton community both in term of biomass and taxonomic groups. This dataset contains the planktonic organisms collected by a WP2 net (Diameter 55 cm; Length : 3 m; Mesh size: 200??m mesh) and therefore covering zooplanktonic organisms from 200??m to ~2cm.

cdm_data_type = Point
VARIABLES:
time (Datetime, seconds since 1970-01-01T00:00:00Z)
depth (m)
latitude (degrees_north)
longitude (degrees_east)
biomass_fraction_gt_2000_um (mg DW.m-3)
biomass_fraction_1000_2000_um (mg DW.m-3)
biomass_fraction_500_1000_um (mg DW.m-3)
biomass_fraction_300_500_um (mg DW.m-3)
biomass_fraction_200_300_um (mg DW.m-3)
biomass_fraction_80_200_um (mg DW.m-3)
Total_biomass (mg DW.m-3)
Bivalvia (nb ind.m-3)
Chaetognatha (nb ind.m-3)
Calanoida (nb ind.m-3)
Oithonoida (nb ind.m-3)
Ergasilida (nb ind.m-3)
Harpacticoida (nb ind.m-3)
Fish_Eggs (nb ind.m-3)
Nauplii (nb ind.m-3)
Salpida (nb ind.m-3)
Crustacea (nb ind.m-3)
Pteropoda (nb ind.m-3)
Appendicularia (nb ind.m-3)
Cnidaria (nb ind.m-3)
Others (nb ind.m-3)
Total_Abundance (nb ind.m-3)


Zooplankton timeseries Marseille bay (NetCDF files)

Summary:
This series is part of the long-term planktonic monitoring of Marseille Oceanographic Laboratories (successively Centre Océanographique de Marseille, Laboratoire d’Océanographie Biologique, Laboratoire d’Océanographie Physique et Biogéochimique, and presently Mediterranean Institute of oceanography / OSU Pytheas ).  It aims at describing the dynamics of the mesozooplankton community both in term of biomass and taxonomic groups.  This dataset contains the planktonic organisms collected by a WP2 net (Diameter 55 cm; Length : 3 m; Mesh size: 200μm mesh) and therefore covering zooplanktonic organisms from 200µm to ~2cm.  The sampling is carried out twice a month at a fixed station in the center of the bay of Marseille (43.2417°N; 5.29167°E) with a depth of 60m (see https://www.somlit.fr/marseille/ ).  The WP2 net (200μm mesh) is hauled vertically from 55 to the surface. Sample preserved in 4% buffered formalin and stored over the long term at the MIO.  Sample have bee scanned on a ZooScan, images processed with ZooProcess and sorted taxonomically on Particle Trieur, within the Plateforme Microscopie et IMagerie (MIM).  The data collection and processing has been funded by several projects over its lifetime. It is currently supported directly by the Mediterranean Institute of oceanography (MIO), as part of its long-term monitoring effort associated with SOMLIT. (https://www.somlit.fr/marseille/). Sont remerciés pour leur contributions à l’échantillonnage et/ou au traitement des échantillons Loic Guilloux; Theo Garcia; Salome Chen; Katty Donoso; Antoine Nowaxzyk; Virginie Riandey; Emmanuel Dieval; Karim Morsly; Nada Neffati; Baptiste Lebourg; Antony Dron

cdm_data_type = TimeSeries
VARIABLES:
station_name
time (datetime, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
biomass_fraction_gt_2000_um (biomass fraction > 2000 um, mg DW.m-3)
biomass_fraction_1000_2000_um (mg DW.m-3)
biomass_fraction_500_1000_um (mg DW.m-3)
biomass_fraction_300_500_um (mg DW.m-3)
biomass_fraction_200_300_um (mg DW.m-3)
... (17 more variables)