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 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)