AAD - ASPeCt-Bio: Chlorophyll a in Antarctic sea ice from historical ice core dataset (1983 - 2008)

Summary:
ASPeCt-Bio: Chlorophyll a in Antarctic sea ice from historical ice core dataset. Virginia Institute of Marine Science data from a local source.

cdm_data_type = Other
VARIABLES:
PlatformCode (Platform Code)
latitude (degrees_north)
longitude (degrees_east)
descriptor
date
time (seconds since 1970-01-01T00:00:00Z)
WC_NH4 (Mole Concentration Of Ammonium In Sea Water, mol)
WC_ChlPigs (Concentration Of Chlorophyll In Sea Water, (mu * g.l^-1))
DOC (DOC(Âµmol\.l-1), micromol/-1)
NORG (Dissolved Organic Nitrogen, micromol/-1)
DEPHT (m)
LLAD (Lower Limit of Ammonium Depth range, m)
LLCD (Lower Limit of Chlorophyll Depth range, m)
LLDOCD (Lower Limit of DOC Depth range, m)
LLDOND (Lower Limitof DON Depth range, m)
LLNID (Lower Limit of Nitrate Depth range, m)
LLND (Lower Limit of Nitrite Depth range, m)
LLPOCD (Lower Limitof POC Depth range, m)
LLPOND (Lower Limitof PON Depth range, m)
LLPD (Lower Limit of Phosphate Depth range, m)
LLSD (Lower Limit of Salinity Depth range, m)
LLSID (Lower Limit of Silicate Depthrange, m)
WC_NO3 (Nitrate concentration parameters in the water column)
WC_NO2 (Nitrite concentration parameters in the water column)
POC_mol_l_1 (POC(Âµmol\.l-1))
PON_mol_l_1 (PON(Âµmol\.l-1))
... (15 more variables)


Summary:
AADC (2019) Extract of data from the sea ice measurements database - 1985-2007

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
CHLOROPHYLL (Concentration Of Chlorophyll In Sea Water)
CHLOROPHYLL_DEPTH_RANGE_LOWER (Concentration Of Chlorophyll In Sea Water)
CHLOROPHYLL_DEPTH_RANGE_UPPER (Concentration Of Chlorophyll In Sea Water)
ISOTOPE
ISOTOPE_DEPTH_RANGE_LOWER
ISOTOPE_DEPTH_RANGE_UPPER
SALINITY (Sea Water Practical Salinity, PSU)
SALINITY_DEPTH_RANGE_LOWER (Sea Water Practical Salinity, PSU)
SALINITY_DEPTH_RANGE_UPPER (Sea Water Practical Salinity, PSU)
TEMPERATURE
DENDRITES
FREEBOARD
ICE_THICKNESS
LOCATION
INSTRUMENT_DETAILS
VOYAGE_ID
AIR_TEMPERATURE
WIND_SPEED
ICE_CORE_OTHER_INVESTIGATORS
VOYAGE
SHIP
ICE_STATION
WEATHER_CODE
GEOMETRY_LAT
GEOMETRY_LNG
COMMENTS


AMUNDSEN CRUISES DB

Summary:
Collection of AMUNDSEN datasets. This product allow to download full datasets of AMUNDSEN cruises, for each cruise is provided the start date, end date, cruise ID, link to data filtering page on EMODnet Physics ERDDAP and data download link

cdm_data_type = Other
VARIABLES:
ID
title
time (Min Time, seconds since 1970-01-01T00:00:00Z)
maxTime (Max Time, seconds since 1970-01-01T00:00:00Z)
infoUrl (Info Url)
RequestURL_geoJson (Request URL geojson format)
RequestURL_csv (Request URL csv format)


Summary:
AntAWS Dataset: A compilation of Antarctic automatic weather station observations - 3 Hours

cdm_data_type = Other
VARIABLES:
platformCode (File Name)
Year
Month
Day
Hour
time (seconds since 1970-01-01T00:00:00Z)
Temperature (degrees_celsius)
Pressure (hPa)
Wind_Speed (m/s)
Wind_Direction (Wind From Direction)
Relative_Humidity (%)


Summary:
AntAWS Dataset: A compilation of Antarctic automatic weather station observations - Daily - 25% threshold

cdm_data_type = Other
VARIABLES:
platformCode (File Name)
Year
Month
Day
time (seconds since 1970-01-01T00:00:00Z)
Temperature (degrees_celsius)
wt_T
Pressure (hPA)
wt_P
Wind_Speed (m/s)
wt_WS
Wind_Direction (Wind From Direction)
wt_WD (Wind From Direction)
Relative_Humidity (Relative Humidity(%))
wt_RH
Vector_Wind_Speed (Wind Speed, m/s)
Vector_Wind_Direction (Wind From Direction)
wt_V


Summary:
AntAWS Dataset: A compilation of Antarctic automatic weather station observations - Daily - 75% threshold

cdm_data_type = Other
VARIABLES:
platformCode (File Name)
Year
Month
Day
time (seconds since 1970-01-01T00:00:00Z)
Temperature (degrees_celsius)
wt_T
Pressure (hPA)
wt_P
Wind_Speed (m/s)
wt_WS
Wind_Direction (Wind From Direction)
wt_WD (Wind From Direction)
Relative_Humidity (Relative Humidity(%))
wt_RH
Vector_Wind_Speed (Wind Speed, m/s)
Vector_Wind_Direction (Wind From Direction)
wt_V


Summary:
AntAWS Dataset: A compilation of Antarctic automatic weather station observations - Monthly - 25% threshold

cdm_data_type = Other
VARIABLES:
platformCode (File Name)
Year
Month
time (seconds since 1970-01-01T00:00:00Z)
Temperature (degrees_celsius)
wt_T
Pressure (hPA)
wt_P
Wind_Speed (m/s)
wt_WS
Wind_Direction (Wind From Direction)
wt_WD (Wind From Direction)
Relative_Humidity (Relative Humidity(%))
wt_RH
Vector_Wind_Speed (Wind Speed, m/s)
Vector_Wind_Direction (Wind From Direction)
wt_V


Summary:
AntAWS Dataset: A compilation of Antarctic automatic weather station observations - Monthly - 75% threshold

cdm_data_type = Other
VARIABLES:
platformCode (File Name)
Year
Month
Day
time (seconds since 1970-01-01T00:00:00Z)
Temperature (degrees_celsius)
wt_T
Pressure (hPA)
wt_P
Wind_Speed (m/s)
wt_WS
Wind_Direction (Wind From Direction)
wt_WD (Wind From Direction)
Relative_Humidity (Relative Humidity(%))
wt_RH
Vector_Wind_Speed (Wind Speed, m/s)
Vector_Wind_Direction (Wind From Direction)
wt_V


ARCTICNET CRUISES DB

Summary:
Collection of ARCTICNET datasets. This product allow to download full datasets of ARCTICNET cruises, for each cruise is provided the start date, end date, cruise ID, link to data filtering page on EMODnet Physics ERDDAP and data download link

cdm_data_type = Other
VARIABLES:
ID
title
time (Min Time, seconds since 1970-01-01T00:00:00Z)
maxTime (Max Time, seconds since 1970-01-01T00:00:00Z)
infoUrl (Info Url)
RequestURL_geoJson (Request URL geojson format)
RequestURL_csv (Request URL csv format)


Australian Antarctic Program Survey Webcams

Summary:
Australian Antarctic Program - Dataset of fixed  webcams in Antarctica

cdm_data_type = Other
VARIABLES:
PlatformCode
Owner
latitude (degrees_north)
longitude (degrees_east)
time (seconds since 1970-01-01T00:00:00Z)
Link


British Antartica Survey Webcams

Summary:
British Antartica Survey - Dataset of fixed  webcams in Antarctica

cdm_data_type = Other
VARIABLES:
PlatformCode
Owner (Owner1)
latitude (degrees_north)
longitude (degrees_east)
time (Column#4, seconds since 1970-01-01T00:00:00Z)
Link


CCHDO Bottle Data

Summary:
CCHDO GO SHIP bottle data from netcdf

cdm_data_type = Profile
VARIABLES:
profile_id (Unique Profile ID)
expocode
section_id
line_id
station
cast
sample
bottle_number
bottle_number_qc (Status Flag)
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
longitude360 (longitude 0-360, degrees_east)
depth (Sea Floor Depth Below Sea Surface, m)
pressure (Sea Water Pressure, dbar)
ctd_temperature_unk (Sea Water Temperature, degree_C)
ctd_temperature_unk_qc (Status Flag)
ctd_temperature_68 (Sea Water Temperature, degree_C)
ctd_temperature_68_qc (Status Flag)
ctd_temperature (Sea Water Temperature, degree_C)
ctd_temperature_qc (Status Flag)
ctd_salinity (Sea Water Practical Salinity, 1)
ctd_salinity_qc (Status Flag)
bottle_salinity (Sea Water Practical Salinity, 1)
bottle_salinity_qc (Status Flag)
ctd_oxygen_ml_l (Volume Fraction Of Oxygen In Sea Water)
ctd_oxygen_ml_l_qc (Status Flag)
... (229 more variables)


CCHDO CTD Data

Summary:
CCHDO GO SHIP ctd data from netcdf files

cdm_data_type = Profile
VARIABLES:
profile_id (Unique Profile ID)
expocode
station
cast
sample
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
pressure (Sea Water Pressure, dbar)
ctd_temperature_unk (Sea Water Temperature, degree_C)
ctd_temperature_unk_qc (Status Flag)
ctd_temperature_68 (Sea Water Temperature, degree_C)
ctd_temperature_68_qc (Status Flag)
ctd_temperature (Sea Water Temperature, degree_C)
ctd_temperature_qc (Status Flag)
ctd_salinity (Sea Water Practical Salinity, 1)
ctd_salinity_qc (Status Flag)
ctd_oxygen_ml_l (Volume Fraction Of Oxygen In Sea Water)
ctd_oxygen_ml_l_qc (Status Flag)
ctd_oxygen (Moles Of Oxygen Per Unit Mass In Sea Water, µmole/kg)
ctd_oxygen_qc (Status Flag)
ctd_oxygen_umol_l (Mole Concentration Of Dissolved Molecular Oxygen In Sea Water)
ctd_oxygen_umol_l_qc (Status Flag)
ctd_fluor (Mass Concentration Of Chlorophyll In Sea Water, mg/m^3)
ctd_fluor_qc (Status Flag)
ctd_fluor_arbitrary
ctd_fluor_arbitrary_qc (Status Flag)
... (31 more variables)


CMEMS - CORA: Coriolis Ocean database for ReAnalysis

Summary:
The COriolis Ocean Dataset for Reanalysis (hereafter "CORA") product is a global dataset of in situ temperature and salinity measurements. The CORA observations comes from many different sources collected by Coriolis data centre in collaboration with the In Situ Thematic Centre of the Copernicus Marine Service (CMEMS INSTAC). The observation integrated in the CORA product have been acquired both by autonomous platforms (Argo profilers, fixed moorings , gliders , drifters, sea mammals) , research or opportunity vessels (CTDs, XBTs, ferrybox).
From the near real time CMEMS In Situ Thematic Centre product validated on a daily and weekly basis for forecasting purposes, a scientifically validated product is created. It s a "reference product" updated on a yearly basis since 2007. This product has been controlled using an objective analysis (statistical tests) method and a visual quality control (QC). This QC procedure has been developed with the main objective to improve the quality of the dataset to the level required by the climate application and the physical ocean re-analysis activities. It provides T and S weekly gridded fields and individual profiles both on their original level with QC flags and interpolated level. The measured parameters, depending on the data source, are : temperature, salinity. The reference level of measurements is immersion (in meters) or pressure (in decibars).
CORA contains historical profiles extracted from the EN.4 global T&S dataset, World Ocean Atlas, SeaDataNet, ICES and other data aggregators.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
PSAL (practical salinity, PSU)
PSAL_ERR (Practical salinity Error, PSS-78)
PSAL_PCTVAR (Error on salinity  (% variance), percent)
TEMP (sea temperature, degree_Celsius)
TEMP_ERR (Temperature Error, degree_Celsius)
TEMP_PCTVAR (Error on temperature  (% variance), percent)


Collection of XBT performed on the high density line IX28 (Dumont d Urville-Hobart) - 1990-2020

Summary:
DEPTH_CH14 and TEMP_CH14 contain depth and temperature corrected values following Cheng et al, 2014 corrections, using tables updated on June 28, 2017. Temperature data from the Tropical Ocean Global Atmosphere (TOGA)/World Ocean Circulation Experiment (WOCE) transect IX28 across the SOuthern Ocean has been collected since 1992 and are ongoing. The transect is repeated approximately 6 times a year, with profiles obtained approximately every 10-50 Km. The data are obtained from XBTs (expendable bathythermographs) deployed by the French Antarctic resupply vessel Astrolabe, and are managed by the French Polar Institute (IPEV) and the Joint Australian Facility for Ocean Observing Systems (JAFOOS), a collaborative venture between Commonwealth Scientific and Industrial Research Organisation (CSIRO) Marine Research and the Bureau of Meteorology Research Centre (BMRC).

cdm_data_type = Profile
VARIABLES:
profileid
depth (m)
DEPTH_quality_control (quality flags for depth)
time (seconds since 1970-01-01T00:00:00Z)
TIME_quality_control (quality flags for time)
latitude (degrees_north)
LATITUDE_quality_control (quality flags for latitude, degrees_north)
longitude (degrees_east)
LONGITUDE_quality_control (quality flags for longitude, degrees_east)
TEMP (Sea Water Temperature, degree_C)
TEMP_quality_control (quality flag for sea_water_temperature)
DEPTH_CH14 (depth_corrected_with_CH14_scheme, m)
DEPTH_CH14_quality_control (quality flag for DEPTH_CH14)
TEMP_CH14 (temp_corrected_with_CH14_scheme, degree_C)
TEMP_CH14_quality_control (quality flag for TEMP_CH14)


CTD (data from NISKIN Bottles) LB21 ARCTIC Cruise Italian Arctic project CASSANDRA

Summary:
Conductivity, Temperature, Depth (CTD), Salinity, Dissolved Oxygen, Fluorescence, and Turbidity were collected during upcast profiles at discrete depths of Niskin bottle closure.  Biogeochemical data were obtained from laboratory analyses of the water samples collected from Niskin bottles at discrete depths along the zonal transect at 75°N in September 2021.  Project PRA CASSANDRA. Italian National Research Council - Institute of Polar Sciences data from a local source. The data originators are the CNR-Institute of Polar Science and the National Institute of Oceanography and Applied Geophysics, OGS, Trieste, Italy;

cdm_data_type = TimeSeriesProfile
VARIABLES:
Cruise
Project
Station
Type
time (TIME [yyyy-mm-dd Thh:mm:ss], seconds since 1970-01-01T00:00:00Z)
longitude (degrees_east)
latitude (degrees_north)
Bot_Depth (Bot. Depth [m], m)
Bottle_No
Pressure (Pressure [dbar], dbar)
QF_press
depth (m)
QF_Depth
T90 (T90 [°C], degree_C)
QF_T
Sal
QF_S
SbeOx (Sbe Ox [umol/L], umol/L)
QF_ox
FLUO (Concentration Of Chlorophyll In Sea Water, mg chl-a m-3)
QF_Fluo
... (120 more variables)


CTD (DOWNCAST) LB21 ARCTIC Cruise Italian Arctic project CASSANDRA

Summary:
Conductivity, Temperature, Depth (CTD), Salinity, Dissolved Oxygen, Fluorescence, and Turbidity. Vertical profiles averaged every 1 meter along the zonal transect at 75°N. Project PRA CASSANDRA. Italian National Research Council - Institute of Polar Sciences data from a local source. Data originator is the National Institute of Oceanography and Applied Geophysics, OGS, Trieste, Italy.

cdm_data_type = TimeSeriesProfile
VARIABLES:
Cruise
Project
Originator
Ship
Station
Cast_Type
Type
time (TIME [yyyy-mm-dd Thh:mm:ss], seconds since 1970-01-01T00:00:00Z)
longitude (degrees_east)
latitude (degrees_north)
Bot_Depth (Bot Depth [m], m)
Pressure_Digiquartz (db)
Temperature (Temperature [ITS-90. Deg C], degree_C)
Temperature_2 (Temperature. 2 [ITS-90. Deg C], degree_C)
Conductivity_1 (Sea Water Electrical Conductivity, Sm-1)
Conductivity_2 (Sea Water Electrical Conductivity, Sm-1)
Salinity_Practical_1 (Sea Water Practical Salinity, PSU)
Salinity_Practical_2 (Sea Water Practical Salinity, PSU)
Dissolved_Oxygen_SBE_43 (Dissolved Oxygen SBE 43 [ml/l], mll-1)
Fluorescence_WET_Labs_ECO_AFL_FL (mgm-3)
Turbidity_WET_Labs_ECO (Turbidity WET Labs ECO [NTU], NTU)


CTD data set from mooring S1 @ 1000 m

Summary:
Timeseries recorded at the mooring S1, at nominal depth of 1000 m during different deployments. The scope of the measurements is to study the temporal variability of the thermohaline properties of the Norvegian Deep Water, and assosiated deep flow.

cdm_data_type = TimeSeries
VARIABLES:
station_id (Id of the station in the TimeSeries)
longitude (longitude position of the station, degrees_east)
latitude (latitude position of the station, degrees_north)
depth (vertical distance below the surface, m)
time (Date and time of the measurement, seconds since 1970-01-01T00:00:00Z)
Temperature (Time series of sea water temperature at 1000 m nominal depth from mooring S1, degree_C)
sea_water_practical_salinity (Time series of sea water salinity at 1000 m nominal depth from mooring S1, PSS-78)


Daily Southern Ocean Sea Level Anomaly And Geostrophic Currents from multimission altimetry, 2013-2019

Summary:
Sea Level Anomaly measured by Altimetry and derived variables

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][longitude][latitude]):
sla (Sea Level Anomaly, m)
formal_error (Optimal Interpolation Formal Error, m)
U (Zonal Geostrophic Current Anomaly, m/s)
V (Meridional Geostrophic Current Anomaly, m/s)


Data from a local source.

Summary:
Data from a local source.

cdm_data_type = Other
VARIABLES:
platform
dataset
time_coverage_start (Min Time, seconds since 1970-01-01T00:00:00Z)
time_coverage_end (Max Time, seconds since 1970-01-01T00:00:00Z)
geospatial_latitude_min (Min Lat)
geospatial_latitude_max (Max Lat)
geospatial_longitude_min (Min Lon)
geospatial_longitude_max (Max Lon)


ISAR L2 SST product

Summary:
ISAR in-situ skin SST data, collected on the Marine National Facility, RV Investigator

cdm_data_type = Trajectory
VARIABLES:
time (measurement time, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
sea_surface_temperature (sea surface skin temperature, kelvin)
sst_total_uncertainty (sea surface temperature total uncertainty, kelvin)
sst_random_uncertainty (sea surface temperature random uncertainty, kelvin)
sst_systematic_uncertainty (sea surface temperature systematic uncertainty, kelvin)
sst_instrument_uncertainty (sea surface temperature instrument uncertainty, kelvin)
sst_measurement_uncertainty (sea surface temperature measurement uncertainty, kelvin)
sst_flags (sea surface skin temperature flags)
quality_level (measurement quality value)
speed_over_ground (platform speed over ground, knots)
course_over_ground (platform course over ground, degree)
view_azimuth_angle (instrument view azimuthal orientation, degree)
view_nadir_angle (instrument viewing angle from nadir, degree)
surface_brightness_temperature (brightness temperature of the sea surface, kelvin)
sky_brightness_temperature (brightness temperature of the sky, kelvin)
ambient_blackbody_temperature (temperature of the ambinet black body, kelvin)
platform_name
platform_id
solar_azimuth_angle (solar azimuth angle wrt north, degrees)
solar_azimuth_angle_isar (solar azimuth angle wrt instrument orientation, degrees)
solar_zenith_angle (degrees)
platform_roll_angle (degrees)
platform_pitch_angle (degrees)
platform_azimuth_angle (degrees)


MEOP - Animal-borne Profiles

Summary:
MEOP (Marine Mammals Exploring the Oceans Pole to Pole) is a consortium of international researchers dedicated to sharing animal-derived data and knowledge about the polar oceans.
Since 2004, several hundred thousands profiles of temperature and salinity have been collected by instrumented animals. The use of elephant seals has been particularly effective to sample the Southern Ocean and the North Pacific. Other seal species have been successfully used in the North Atlantic, such as hooded seals. These hydrographic data have been assembled in a quality-controlled database, the MEOP-CTD database.
These data are profiles of temperature (°C). Each profile is located in space and time. It must be emphasised that the dataset of each individual CTD-SRDL has been edited and corrected separately, as a given CTD-SRDL has its own specificities in terms of data accuracy and quality of the estimated correction. A post-processing procedure is applied on hydrographic data in order to ensure the best possible data quality. For more details, please visit https://www.meop.net/database/data-processing-and-validation.html.

cdm_data_type = TimeSeriesProfile
VARIABLES:
data_assembly_center
deployment_code
firmware_parameters
firmware_version
instr_id (Instrument ID)
location
nation
PI (Principal Investigator)
pi_name (Principal Investigator Name)
platform_code
reference_file_name
smru_platform_code
species
wmo_platform_code
DATA_TYPE
... (42 more variables)


Summary:
Monthly climatology fields for product GLOBAL_REANALYSIS_PHY_001_030

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
thetao (Temperature, degree_C)
so (Salinity, PSU)
uo (Eastward velocity, m s-1)
vo (Northward velocity, m s-1)


Summary:
This layer provides time series of basal melt rates from Antarctic ice shelves from the Network for the Collection of Knowledge on meLt of Antarctic iCe shElves (NECKLACE) programme.

cdm_data_type = Other
VARIABLES:
Site_name
latitude (degrees_north)
longitude (degrees_east)
Retrieval_Latitude (R_Latitude, degrees_north)
Retrieval_Longitude (R_Longitude, degrees_east)
Program
Nation
Status
Deployment_Date
Retrieval_Date
time (seconds since 1970-01-01T00:00:00Z)
Email_Address
Link_to_raw_data
Link_to_processed_data
Sensor_Serial_Number


NOAA - Optimum Interpolation (OI) Sea Surface Temperature (SST) V2 High Resolution Dataset

Summary:
The NOAA 1/4° Daily Optimum Interpolation Sea Surface Temperature (OISST) is a long term Climate Data Record that incorporates observations from different platforms (satellites, ships, buoys and Argo floats) into a regular global grid. The dataset is interpolated to fill gaps on the grid and create a spatially complete map of sea surface temperature. Satellite and ship observations are referenced to buoys to compensate for platform differences and sensor biases. OISST belongs to a family of products that are sometimes referred to as "Reynolds SST" for Richard W. Reynolds, a NOAA scientist who worked to improve the accuracy of the SST analyses by optimizing the advantages of in situ (ship and buoy) and satellite data. Older Reynolds SST products have been retired, except for the 1° weekly OISST. The dataset was developed using a methodology that includes bias adjustment of satellite and ship observations (referenced to buoys) to compensate for platform differences and sensor biases. This proved critical during the Mt. Pinatubo eruption in 1991, when the widespread presence of volcanic aerosols resulted in infrared satellite temperatures that were much cooler than actual ocean temperatures (Reynolds 1993).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sst (Monthly Mean of Sea Surface Temperature, degree_C)

National Oceanic and Atmospheric Administration (NOAA)


NOAA - Surface Ocean CO2 Atlas Database Version 2024 (SOCAT v2024)

Summary:
Global Ocean - Gridded In Situ reprocessed carbon observations - SOCATv2024. Surface Ocean Carbon Atlas (SOCAT) Gridded (binned) SOCAT observations, with a spatial grid of 1x1 degree and yearly in time. The gridded fields are computed from the monthly 1-degree gridded data, which uses only SOCAT datasets with Quality Control (QC) flags of A through D and SOCAT data points flagged with World Ocean Circulation Experiment (WOCE) flag values of 2. This yearly data is computed using data from the start to the end of each year as described in the summary attribute of each variable.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
count_ncruise (Number of cruises, count)
fco2_count_nobs (Number of fco2 obs, count)
fco2_ave_weighted (fCO2 mean - per cruise weighted, uatm)
fco2_ave_unwtd (fCO2 mean - unweighted all obs, uatm)
fco2_min_unwtd (fCO2 min, uatm)
fco2_max_unwtd (fCO2 max, uatm)
fco2_std_weighted (fCO2 std dev - per cruise weighted, uatm)
fco2_std_unwtd (fCO2 std dev - unweighted all obs, uatm)
sst_count_nobs (Number of valid sst obs, count)
sst_ave_weighted (SST mean - per cruise weighted, degree_C)
sst_ave_unwtd (SST mean - unweighted all obs, degree_C)
sst_min_unwtd (SST min, degree_C)
sst_max_unwtd (SST max, degree_C)
sst_std_weighted (SST std dev - per cruise weighted, degree_C)
sst_std_unwtd (SST std dev - unweighted all obs, degree_C)
salinity_count_nobs (Number of valid salinity obs, count)
salinity_ave_weighted (Salinity mean - per cruise weighted, PSU)
salinity_ave_unwtd (Salinity mean - unweighted all obs, PSU)
salinity_min_unwtd (Salinity min, PSU)
salinity_max_unwtd (Salinity max, PSU)
salinity_std_weighted (Salinity std dev - per cruise weighted, PSU)
salinity_std_unwtd (Salinity std dev - unweighted all obs, PSU)
lat_offset_unwtd (Latitude average offset from cell center, Deg N)
lon_offset_unwtd (Longitude average offset from cell center, Deg E)


OCEAN ICE - Argo DE - Deployment of 4 Argo float profilers

Summary:
In the framework of OCEAN ICE, AWI deployed 4 ARGO float profilers in the Eastern sector of Antarctic Shelf seas, next to the Amery ice shelf.

cdm_data_type = Other
VARIABLES:
PLATFORMCODE (File Number)
data_type
format_version (File format version)
handbook_version (Data handbook version)
reference_date_time (Date of reference for Julian days, seconds since 1970-01-01T00:00:00Z)
date_creation (Date of file creation, seconds since 1970-01-01T00:00:00Z)
date_update (Date of update of this file, seconds since 1970-01-01T00:00:00Z)
WMO (Float unique identifier)
project_name (Name of the project)
pi_name (Name of the principal investigator)
cycle_number (Float cycle number)
direction (Direction of the station profiles)
data_center (Data centre in charge of float data processing)
dc_reference (Station unique identifier in data centre)
data_state_indicator (Degree of processing the data have passed through)
data_mode (Delayed mode or real time data)
platform_type
float_serial_no (Serial number of the float)
firmware_version (Instrument firmware version)
wmo_inst_type (Coded instrument type)
time (Julian day (UTC) of the station relative to REFERENCE_DATE_TIME, seconds since 1970-01-01T00:00:00Z)
time_qc (Quality on date and time)
time_location (Julian day (UTC) of the location relative to REFERENCE_DATE_TIME, seconds since 1970-01-01T00:00:00Z)
latitude (Latitude of the station, best estimate, degrees_north)
longitude (Longitude of the station, best estimate, degrees_east)
position_qc (Quality on position (latitude and longitude))
... (33 more variables)

Alfred-Wegener-Institut Helmholtz-Zentrum Fur Polar- Und Meeresforschung (AWI)


OCEAN ICE - Argo Profiling Floats Compilation

Summary:
Argo is a global array of 3,000 free-drifting profiling floats that measures the temperature and salinity of the upper 2000 m of the ocean. This allows, for the first time, continuous monitoring of the temperature, salinity, and velocity of the upper ocean, with all data being relayed and made publicly available within hours after collection. The array provides 100,000 temperature/salinity profiles and velocity measurements per year distributed over the global oceans at an average of 3-degree spacing. Some floats provide additional bio-geo parameters such as oxygen or chlorophyll. All data collected by Argo floats are publically available in near real-time via the Global Data Assembly Centers (GDACs) in Brest (France) and Monterey (California) after an automated quality control (QC), and in scientifically quality controlled form, delayed mode data, via the GDACs within six months of collection.

The BGC-Argo Sprof snapshot is a subset of the global Argo data snapshot.  It is created to ease BGC-Argo data usage.  The content is the same if you are to download the global Argo data snapshot, and then select all the BGC-Argo Sprof files.  Please use the same DOI and citation as the global Argo data snapshot.

cdm_data_type = Other
VARIABLES:
PLATFORMCODE (File Number)
data_type
format_version (File format version)
handbook_version (Data handbook version)
reference_date_time (Date of reference for Julian days, seconds since 1970-01-01T00:00:00Z)
date_creation (Date of file creation, seconds since 1970-01-01T00:00:00Z)
date_update (Date of update of this file, seconds since 1970-01-01T00:00:00Z)
WMO (Float unique identifier)
project_name (Name of the project)
pi_name (Name of the principal investigator)
cycle_number (Float cycle number)
direction (Direction of the station profiles)
data_center (Data centre in charge of float data processing)
... (46 more variables)


OCEAN ICE - Argo UK - Deployment of 4 Argo float profilers

Summary:
In the framework of OCEAN ICE project 4 ARGO float profilers were deployed by UKRI-BAS in the Amundsen and Ross Sea, in the Western sector of Antarctic shelf seas.

cdm_data_type = Other
VARIABLES:
PLATFORMCODE (File Number)
data_type
format_version (File format version)
handbook_version (Data handbook version)
reference_date_time (Date of reference for Julian days, seconds since 1970-01-01T00:00:00Z)
date_creation (Date of file creation, seconds since 1970-01-01T00:00:00Z)
date_update (Date of update of this file, seconds since 1970-01-01T00:00:00Z)
WMO (Float unique identifier)
project_name (Name of the project)
pi_name (Name of the principal investigator)
cycle_number (Float cycle number)
direction (Direction of the station profiles)
data_center (Data centre in charge of float data processing)
dc_reference (Station unique identifier in data centre)
data_state_indicator (Degree of processing the data have passed through)
data_mode (Delayed mode or real time data)
platform_type
float_serial_no (Serial number of the float)
firmware_version (Instrument firmware version)
wmo_inst_type (Coded instrument type)
time (Julian day (UTC) of the station relative to REFERENCE_DATE_TIME, seconds since 1970-01-01T00:00:00Z)
time_qc (Quality on date and time)
time_location (Julian day (UTC) of the location relative to REFERENCE_DATE_TIME, seconds since 1970-01-01T00:00:00Z)
latitude (Latitude of the station, best estimate, degrees_north)
longitude (Longitude of the station, best estimate, degrees_east)
position_qc (Quality on position (latitude and longitude))
... (33 more variables)


OCEAN ICE - European circumpolar sea ice production fluxes

Summary:
This dataset on sea ice production (SIP) in Antarctic coastal polynyas offers crucial insights into these regions' roles in sea ice and dense water formation. Using Earth Observation data and atmospheric reanalysis, the dataset employs a heat budget method to estimate SIP. It incorporates sea ice concentration (SIC) from passive microwave sensors and near-surface wind speed and surface air temperature from ECMWF ERA5 reanalysis. Comparative analysis with previous studies confirms the dataset's accuracy in depicting spatial patterns and the magnitude of ice production, though some variations exist across larger polynyas. While simplifications may increase uncertainties in absolute SIP values, this dataset is a valuable resource for understanding the dynamics and variability of Antarctic polynya SIP from 1992 to 2023.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sea_ice_production (m/month)

Alfred-Wegener-Institut Helmholtz-Zentrum Für Polar- Und Meeresforschung (AWI)


OCEAN ICE - Future freshwater fluxes from the Antarctic ice sheet - 27 drainage basins - high emission scenario

Summary:
This dataset contains yearly timeseries of the [5 25 50 75 95] percentiles for the calibrated probabilistic projections of Antarctic net mass balance, surface meltwater runoff, sub-shelf melt, and calving fluxes (in Gt/yr) for 27 drainage basins under high-emission scenarios.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [quantile][time2][basin]):
Net_Mass_Balance (Gigatonne year-1)
Surface_Meltwater_Runoff_Fluxes (Surface Runoff, Gigatonne year-1)
Sub_Shelf_Melt_Fluxes (Sub Shelf Melt, Gigatonne year-1)
Calving_Fluxes (Calving, Gigatonne year-1)


OCEAN ICE - Future freshwater fluxes from the Antarctic ice sheet - 27 drainage basins - low emission scenario

Summary:
This dataset contains yearly timeseries of the [5 25 50 75 95] percentiles for the calibrated probabilistic projections of Antarctic net mass balance, surface mass balance, sub-shelf melt, and calving fluxes (in Gt/yr) for each of the 27 Zwally drainage basins (see http://imbie.org/imbie-2016/drainage-basins/) under a low emission scenario.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [quantile][time2][basin]):
Net_Mass_Balance (Gigatonne year-1)
Surface_Meltwater_Runoff_Fluxes (Surface Runoff, Gigatonne year-1)
Sub_Shelf_Melt_Fluxes (Sub Shelf Melt, Gigatonne year-1)
Calving_Fluxes (Calving, Gigatonne year-1)


OCEAN ICE - Future freshwater fluxes from the Antarctic ice sheet - 5 Ocenan sectors - high emission scenario

Summary:
This dataset contains  contain yearly timeseries of the [5 25 50 75 95] percentiles for the calibrated probabilistic projections of Antarctic net mass balance, surface mass balance, sub-shelf melt, and calving fluxes (in Gt/yr) for each of the 5 ocean sectors (Weddell Sea, Indian Ocean, western Pacific Ocean, Ross Sea, Amundsen & Bellingshausen Sea) under a high emission scenario

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [quantile][time2][sector]):
Net_Mass_Balance (Gigatonne year-1)
Surface_Meltwater_Runoff_Fluxes (Surface Runoff, Gigatonne year-1)
Sub_Shelf_Melt_Fluxes (Sub Shelf Melt, Gigatonne year-1)
Calving_Fluxes (Calving, Gigatonne year-1)


OCEAN ICE - Future freshwater fluxes from the Antarctic ice sheet - 5 Ocenan sectors - low emission scenario

Summary:
This dataset contains  contain yearly timeseries of the [5 25 50 75 95] percentiles for the calibrated probabilistic projections of Antarctic net mass balance, surface mass balance, sub-shelf melt, and calving fluxes (in Gt/yr) for each of the 5 ocean sectors (Weddell Sea, Indian Ocean, western Pacific Ocean, Ross Sea, Amundsen & Bellingshausen Sea) under a low emission scenario

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [quantile][time2][sector]):
Net_Mass_Balance (Gigatonne year-1)
Surface_Meltwater_Runoff_Fluxes (Surface Runoff, Gigatonne year-1)
Sub_Shelf_Melt_Fluxes (Sub Shelf Melt, Gigatonne year-1)
Calving_Fluxes (Calving, Gigatonne year-1)


OCEAN ICE - Future freshwater fluxes from the Antarctic ice sheet - high emission scenario

Summary:
This dataset contains yearly timeseries of the [5 25 50 75 95] percentiles for the calibrated probabilistic projections of Antarctic net mass balance, surface meltwater runoff, sub-shelf melt, and calving fluxes (in Gt/yr) for the Antarctic Ice Sheet under a high emission scenario.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [quantile][time2][basin]):
Net_Mass_Balance (Gigatonne year-1)
Surface_Meltwater_Runoff_Fluxes (Surface Runoff, Gigatonne year-1)
Sub_Shelf_Melt_Fluxes (Sub Shelf Melt, Gigatonne year-1)
Calving_Fluxes (Calving, Gigatonne year-1)


OCEAN ICE - Future freshwater fluxes from the Antarctic ice sheet - low emission scenario

Summary:
This dataset contains yearly timeseries of the [5 25 50 75 95] percentiles for the calibrated probabilistic projections of Antarctic net mass balance, surface meltwater runoff, sub-shelf melt, and calving fluxes (in Gt/yr) for the Antarctic Ice Sheet under a low emissions scenario.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [quantile][time2][basin]):
Net_Mass_Balance (Gigatonne year-1)
Surface_Meltwater_Runoff_Fluxes (Surface Runoff, Gigatonne year-1)
Sub_Shelf_Melt_Fluxes (Sub Shelf Melt, Gigatonne year-1)
Calving_Fluxes (Calving, Gigatonne year-1)


OCEAN ICE - Pan-Antarctic (90S-45S) temperature and salinity profiles compilation

Summary:
This profile compilation contains absolute salinity profiles computed from ship CTD, Argo floats and seal-borne profilers in the Southern Ocean (90°S-45°S) since 1972, using the GSW toolbox. It provides with an opportunity to investigate the broad scale climatology of the Southern Ocean hydrography on and off the continental shelf and facilitate localized timeseries analysis of the variability across various timescales.

cdm_data_type = Other
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
bathy (bathymetry)
temperature (conservative temperature computed using GSW toolbox, degree_C)
salinity (absolutely salinity computed using GSW toolbox)
pres (pressure)
source_flag (data source flag)
instrument_type_flag


OCEAN ICE - Pan-Antarctic (90°S-60°S) moored time series compilation

Summary:
This mooring timeseries compilation contains temperature, salinity, current velocity measured from a wide range of marine instrument in the Southern Ocean (90°S-60°S) since 1975. It provides with an opportunity to investigate the broad scale climatology of the Southern Ocean shelf dynamics and shelf connecitivity of dense shelf water and freshwater propogation, and facilitate the timeseries analysis across various timescales.

cdm_data_type = Other
VARIABLES:
Instrument_Type
Instrument_Details
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
bottom_depth (m)
press (water pressure, dbar)
temp (temperature, deg C)
v (cm/s)
u (cm/s)
w (Vertical Velocity, cm/s)
salin (salinity, PSU)
doi


Summary:
Physical and biogeochemical oceanography data from Conductivity, Temperature, Depth (Bottle) rosette deployments during the Antarctic Circumnavigation Expedition (ACE)

cdm_data_type = Other
VARIABLES:
EXPOCODE
SECT_ID
STNNBR
CASTNO
time (BTL DATETIME, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
SAMPNO
BTLNBR
BTLNBR_FLAG_W
PRES (sea_water_pressure, dbar)
CTDPRS_FLAG_W
depth (m)
CTDTMP
CTDTMP_FLAG_W
CTDSAL
CTDSAL_FLAG_W
CTDDENS
CTDDENS_FLAG_W
CTDSOUND
CTDSOUND_FLAG_W
CTDOXY
CTDOXY_FLAG_W
CTDOXYSAT
CTDOXYSAT_FLAG_W
CTDFLUOR1
... (11 more variables)


Summary:
Physical and biogeochemical oceanography data from Conductivity, Temperature, Depth (CTD) rosette deployments during the Antarctic Circumnavigation Expedition (ACE)

cdm_data_type = Point
VARIABLES:
EXPOCODE
STNNBR
CASTNO
time (DATETIME UTC, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
CTDPRS
CTDPRS_FLAG_W
depth (m)
CTDTMP
CTDTMP_FLAG_W
CTDSAL
CTDSAL_FLAG_W
CTDDENS
CTDDENS_FLAG_W
CTDSOUND
CTDSOUND_FLAG_W
CTDOXY
CTDOXY_FLAG_W
CTDOXYSAT
CTDOXYSAT_FLAG_W
CTDFLUOR1
CTDFLUOR1_FLAG_W
CTDFLUOR1Q (CTDFLUOR1 Q)
CTDFLUOR1Q_FLAG_W (CTDFLUOR1 Q FLAG W)
CTDFLUOR2
... (7 more variables)


POLARSTERN CRUISES DB

Summary:
Collection of POLARSTERN datasets. This product allow to download full datasets of POLARSTERN cruises, for each cruise is provided the start date, end date, cruise ID, link to data filtering page on EMODnet Physics ERDDAP and data download link

cdm_data_type = Other
VARIABLES:
ID
title
time (Min Time, seconds since 1970-01-01T00:00:00Z)
maxTime (Max Time, seconds since 1970-01-01T00:00:00Z)
infoUrl (Info Url)
RequestURL_geoJson (Request URL geojson format)
RequestURL_csv (Request URL csv format)


PSMSL - Absolute Sea Level Trend

Summary:
SSALTO/DUACS Delayed-Time Level-4 sea surface height and derived variables measured by multi-satellite altimetry observations over Global Ocean.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sla (Sea level anomaly, m)


SCAR - International Iceberg Database

Summary:
In the period between the austral summers of 1982/83 to 1997/98, iceberg observations were recorded by most research vessels cruising Antarctic waters, under an international programme for systematic collection of Antarctic iceberg data initiated by The Norwegian Polar Institute (NPI) in 1981 with the endorsement of the Scientific Committee on Antarctic Research (SCAR). The resulting database contains records of 320 493 iceberg positions from 26 601 individual observations. Of these, 259 479 icebergs have been classified by size into five different length categories: 10-50, 50-200, 200-500, 500-1000 and >1000 m. The database also includes 8061 additional iceberg observations collected by the Australian National Antarctic Research Expeditions ships from 1984 (AAD), operating in the 50-150Â° E longitude sector. Some of these have been classified by slightly different size categories.

cdm_data_type = Other
VARIABLES:
Cruise_ID
Vessel
time (Obs Date, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Ice_conc
RV
Total
no10_50
no50_200
no200_500
no500_1000
gt1000
Freeboard
Length
Width
Dim_as_average
View_radius
comments


SO-CHIC - Continuous meteorological surface measurement conducted during Cruise 2022 - AgulhasII

Summary:
Continuous meteorological surface measurement conducted during the SO-CHIC (Southern Ocean Carbon and Heat Impact on Climate) cruise (December 2021/January 2022, S.A. AgulhasII). The cruise report is available at https://zenodo.org/record/6948850 for details.

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Air_temp (Air Temperature, degrees Celsius)
DewPoint (Dew Point, degrees Celsius)
TEMP (Surface Sea Water Temperature, degrees Celsius)
Humidity (Air Humidity, %)
WSPD (Horizontal Wind Speed, m/s)
GSPD (Gust Wind Speed, m/s)
WDIR (Wind From Direction, degrees)
ATMS (Air Pressure at Sea Level, Millibars)
PSAL (Sea Water Practical Salinity, PSU)