* The List of All Active Datasets in this ERDDAP *

This dataset is a table which has a row of information for each dataset currently active in this ERDDAP.

cdm_data_type = Other
VARIABLES:
datasetID (Dataset ID)
accessible
institution
dataStructure (Data Structure)
cdm_data_type (Common Data Model Type)
class (ERDDAP Class)
title
minLongitude (Minimum Longitude, degrees_east)
maxLongitude (Maximum Longitude, degrees_east)
longitudeSpacing (Average Grid Longitude Spacing, degrees_east)
minLatitude (Minimum Latitude, degrees_north)
maxLatitude (Maximum Latitude, degrees_north)
latitudeSpacing (Average Grid Latitude Spacing, degrees_north)
minAltitude (Minimum Altitude (or negative Depth), m)
maxAltitude (Maximum Altitude (or negative Depth), m)
minTime (Minimum Time, seconds since 1970-01-01T00:00:00Z)
maxTime (Maximum Time, seconds since 1970-01-01T00:00:00Z)
timeSpacing (Average Grid Time Spacing, seconds)
griddap (Base URL of OPeNDAP Grid Service)
subset (URL of Subset Web Page)
tabledap (Base URL of OPeNDAP Table/Sequence Service)
MakeAGraph (URL of Make-A-Graph Web Page)
sos (Base URL of SOS Service)
wcs (Base URL of WCS Service)
wms (Base URL of WMS Service)
files (Base URL of "files" Service)
... (10 more variables)

NOAA/AOML-CoastWatch Caribbean and Gulf of AMerica Regional Node-Atlantic OceanWatch


1-day USF AFAI Fields (USF AFAI 1D AOML) (USFAFAI)

University of South Florida (USF) AFAI Fields. AFAI: Alternate Floating Algae Index (in reflectance units) to detect ocean surface features such as Sargassum, green macroalgae, and cyanobacteria. AFAI is estimated by Chuanmin Hu (USF). AFAI is sensitive to detect subtle ocean surface features, but it saturates under sun glint, clouds, or thick aerosols. Reference: Hu, C., L. Feng, R. F. Hardy, and E. J. Hochberg (2015). Spectral and spatial requirements of remote measurements of pelagic Sargassum macro algae. Remote Sens. Environ. 167:229-246. doi:10.1016/j.rse.2015.05.022.
For technical questions, please contact Joaquin Trinanes (joaquin.trinanes@noaa.gov). For scientific questions, contact Chuanmin Hu (huc@usf.edu). (USF AFAI 1D Atlantic Oceanographic & Meteorological Laboratory (AOML))

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
AFAI (AFAI (Alternative Floating Algae Index))


TBD

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
K490 (diffuse_attenuation_coefficient_k490, m^-1)

CoastWatch Caribbean and Gulf of America Regional Node/Atlantic OceanWatch


TBD

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
Rrs667 (remote_sensing_reflectance_at_667_nm, sr^-1)


3-day cumulative USF AFAI Fields (USF AFAI 3D AOML) (USFAFAI3D)

3-day cumulative University of South Florida (USF) AFAI Fields. AFAI: Alternate Floating Algae Index (in reflectance units) to detect ocean surface features such as Sargassum, green macroalgae, and cyanobacteria. AFAI is estimated by Chuanmin Hu (USF). AFAI is sensitive to detect subtle ocean surface features, but it saturates under sun glint, clouds, or thick aerosols. Reference: Hu, C., L. Feng, R. F. Hardy, and E. J. Hochberg (2015). Spectral and spatial requirements of remote measurements of pelagic Sargassum macro algae. Remote Sens. Environ. 167:229-246. doi:10.1016/j.rse.2015.05.022.
For technical questions, please contact Joaquin Trinanes (joaquin.trinanes@noaa.gov). For scientific questions, contact Chuanmin Hu (huc@usf.edu). (USF AFAI 3D Atlantic Oceanographic & Meteorological Laboratory (AOML))

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
AFAI (AFAI (Alternative Floating Algae Index))


7-day cumulative USF AFAI Fields (USF AFAI 7D AOML) (USFAFAI7D)

7-day cumulative University of South Florida (USF) AFAI Fields. AFAI: Alternate Floating Algae Index (in reflectance units) to detect ocean surface features such as Sargassum, green macroalgae, and cyanobacteria. AFAI is estimated by Chuanmin Hu (USF). AFAI is sensitive to detect subtle ocean surface features, but it saturates under sun glint, clouds, or thick aerosols. Reference: Hu, C., L. Feng, R. F. Hardy, and E. J. Hochberg (2015). Spectral and spatial requirements of remote measurements of pelagic Sargassum macro algae. Remote Sens. Environ. 167:229-246. doi:10.1016/j.rse.2015.05.022.
For technical questions, please contact Joaquin Trinanes (joaquin.trinanes@noaa.gov). For scientific questions, contact Chuanmin Hu (huc@usf.edu). (USF AFAI 3D Atlantic Oceanographic & Meteorological Laboratory (AOML))

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
AFAI (AFAI (Alternative Floating Algae Index))


Biogeographic framework. Space and time classified simultaneously from synoptic time series using hierarchical and topology preserving machine learning

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
CLASS (None)
P (Prob, Punits)

NOAA CoastWatch, OSU, USF, NASA, UAF, IOOS, NMS


The daily files consist of over-ocean measurements (geophysical retrievals or parameters) mapped to a regular 0.25-degree grid complete with data gaps between orbits. Two maps exist for each parameter, one of ascending orbit segments and the other of descending orbit segments. Data on each of the segment maps are averaged where successive orbits cross and are overwritten at the seam or region where the last orbit of the day overlaps the first or bit of the day. Daily data files contain time maps consisting of the UTC observation time for each set of passes (ascending and descending).n Gridded data are organized according to observation date. All dates and times are Coordinated Universal Time (UTC), also known as Greenwich Mean Time (GMT), Zulu Time (Z), Universal Time (UT), and World Time.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
Time_Ascending (Decimal Hour of the Day, Ascending Passes, hour)
AMSR2_SST_Ascending (AMSR-2 Sea Surface Temperature, Ascending Passes, degree_C)
WSPD_LF_Ascending (Surface Wind Speed, Low Frequency, Ascending Passes, m s-1)
WSPD_MF_Ascending (Surface Wind Speed, Medium Frequency, Ascending Passes, m s-1)
Water_Vapor_Ascending (Atmospheric Water Vapor, Ascending Passes, mm)
Cloud_LW_Ascending (Cloud Liquid Water, Ascending Passes, kg m-2)
Rain_Rate_Ascending (Rain Rate, Ascending Passes, mm hr-1)
Time_Descending (Decimal Hour of the Day, Descending Passes, hour)
AMSR2_SST_Descending (AMSR-2 Sea Surface Temperature, Descending Passes, degree_C)
WSPD_LF_Descending (Surface Wind Speed, Low Frequency, Descending Passes, m s-1)
WSPD_MF_Descending (Surface Wind Speed, Medium Frequency, Descending Passes, m s-1)
Water_Vapor_Descending (Atmospheric Water Vapor, Descending Passes, mm)
Cloud_LW_Descending (Cloud Liquid Water, Descending Passes, kg m-2)
Rain_Rate_Descending (Rain Rate, Descending Passes, mm hr-1)


Archived NOAA Coral Reef Watch  25km Ocean Acidification Product Suite for the Greater Caribbean Region  Quality Flag = Preliminary

This is the Coral Reef Watch Ocean Acidification Product Suite  produced monthly in conjunction with NOAA CoastWatch. CoastWatch Utilities, including CoastWatch Data Analysis  Tool (CDAT), v3.2.1 or higher (https://coastwatch.noaa.gov/cw_software.html) can be used for viewing, analyzing, and plotting the data.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SST (sea surface temperature, degree_C)
SSS (sea surface salinity, psu)
pCO2sw (Partial pressure CO2 Seawater, uatm)
TA (Total Alkalinity, umol/kg)
TC (Total Inorganic Carbon, umol/kg)
pH (Total Scale)
SSA (Saturation State (aragonite), Omega)
HCO3 (Bicarbonate Ion Concentration (HCO3-), umol/kg)
CO3 (Carbonate Ion Concentration (CO3--), umol/kg)

CoastWatch Caribb-NOAA NESDIS Coral Reef Watch


Argo BGC AOML. Float vertical profile 4903622

Argo float vertical profile ID4903622. Atlantic Oceanographic & Meteorological Laboratory (AOML) data from a local source.

cdm_data_type = TrajectoryProfile
VARIABLES:
DATA_TYPE
FORMAT_VERSION (File format version)
HANDBOOK_VERSION (Data handbook version)
REFERENCE_DATE_TIME (Date of reference for Julian days)
DATE_CREATION (Date of file creation)
DATE_UPDATE (Date of update of this file)
PLATFORM_NUMBER (Float unique identifier)
PROJECT_NAME (Name of the project)
PI_NAME (Name of the principal investigator)
STATION_PARAMETERS (List of available parameters for the station)
CYCLE_NUMBER (Float cycle number)
DIRECTION (Direction of the station profiles)
DATA_CENTRE (Data centre in charge of float data processing)
PARAMETER_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)
JULD_QC (Quality on date and time)
JULD_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))
POSITIONING_SYSTEM
CONFIG_MISSION_NUMBER (Unique number denoting the missions performed by the float)
... (49 more variables)


Argo BGC AOML. Float vertical profile 4903624

Argo float vertical profile ID4903624. Atlantic Oceanographic & Meteorological Laboratory (AOML) data from a local source.

cdm_data_type = TrajectoryProfile
VARIABLES:
DATA_TYPE
FORMAT_VERSION (File format version)
HANDBOOK_VERSION (Data handbook version)
REFERENCE_DATE_TIME (Date of reference for Julian days)
DATE_CREATION (Date of file creation)
DATE_UPDATE (Date of update of this file)
PLATFORM_NUMBER (Float unique identifier)
PROJECT_NAME (Name of the project)
PI_NAME (Name of the principal investigator)
STATION_PARAMETERS (List of available parameters for the station)
CYCLE_NUMBER (Float cycle number)
DIRECTION (Direction of the station profiles)
DATA_CENTRE (Data centre in charge of float data processing)
PARAMETER_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)
JULD_QC (Quality on date and time)
JULD_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))
POSITIONING_SYSTEM
CONFIG_MISSION_NUMBER (Unique number denoting the missions performed by the float)
... (49 more variables)


Argo BGC AOML. Float vertical profile 4903625

Argo float vertical profile ID4903625. Atlantic Oceanographic & Meteorological Laboratory (AOML) data from a local source.

cdm_data_type = TrajectoryProfile
VARIABLES:
DATA_TYPE
FORMAT_VERSION (File format version)
HANDBOOK_VERSION (Data handbook version)
REFERENCE_DATE_TIME (Date of reference for Julian days)
DATE_CREATION (Date of file creation)
DATE_UPDATE (Date of update of this file)
PLATFORM_NUMBER (Float unique identifier)
PROJECT_NAME (Name of the project)
PI_NAME (Name of the principal investigator)
STATION_PARAMETERS (List of available parameters for the station)
CYCLE_NUMBER (Float cycle number)
DIRECTION (Direction of the station profiles)
DATA_CENTRE (Data centre in charge of float data processing)
PARAMETER_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)
JULD_QC (Quality on date and time)
JULD_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))
POSITIONING_SYSTEM
CONFIG_MISSION_NUMBER (Unique number denoting the missions performed by the float)
... (49 more variables)


Argo BGC AOML. Float vertical profile 7901009

Argo float vertical profile ID7901009. Atlantic Oceanographic & Meteorological Laboratory (AOML) data from a local source.

cdm_data_type = TrajectoryProfile
VARIABLES:
DATA_TYPE
FORMAT_VERSION (File format version)
HANDBOOK_VERSION (Data handbook version)
REFERENCE_DATE_TIME (Date of reference for Julian days)
DATE_CREATION (Date of file creation)
DATE_UPDATE (Date of update of this file)
PLATFORM_NUMBER (Float unique identifier)
PROJECT_NAME (Name of the project)
PI_NAME (Name of the principal investigator)
STATION_PARAMETERS (List of available parameters for the station)
CYCLE_NUMBER (Float cycle number)
DIRECTION (Direction of the station profiles)
DATA_CENTRE (Data centre in charge of float data processing)
PARAMETER_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)
JULD_QC (Quality on date and time)
JULD_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))
POSITIONING_SYSTEM
CONFIG_MISSION_NUMBER (Unique number denoting the missions performed by the float)
... (49 more variables)


Latest Argo profile location. Only location and time are provided.

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
platform_name


AVHRR Daily Sea Surface Temperature Anomaly Fields

TBD

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sstanomaly (sea surface temperature anomaly, degree_C)

CoastWatch Caribbean and Gulf of America Regional Node/Atlantic OceanWatch


AVHRR Daily Sea Surface Temperature Fields

TBD

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sst (sea surface temperature, degree_C)


Chlorophyll, NOAA S-NPP VIIRS, Near Real-Time, 750m Sector VY, Daily

Ocean color standard products include normalized water-leaving radiances, chlorophyll-a concentration, diffusive attenuation coefficient at 490 nm and diffusive attenuation coefficient of the photosynthetically available radiation (PAR).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
chlor_a (Chlorophyll Concentration, OC3 Algorithm, mg m^-3)
swath_latitude (Latitude, degrees_north)
swath_longitude (Longitude, degrees_east)
graphics (graphics overlay planes)


CO2 Ship Underway Data. Hourly Downsampled.

Hourly underway ship data provided by OCED/Atlantic Oceanographic & Meteorological Laboratory (AOML). Only location and time are provided.

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
idship (Ship Identifier)
shipname (Ship Name)


CoastWatch SST Blended Analysis NIGHT ONLY

United States Department of Commerce (USDOC)/NOAA/National Environmental Satellite, Data, and Information Service (NESDIS) COASTWATCH noaa19/metop-a goese/w msg/mtsat Sea Surface Temperature (SST) Blended Analysis NIGHT ONLY. Original product modified by CW Caribbean and Gulf of America Regional Node, and Atlantic OceanWatch Node to include frontal systems

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sst_analysis_night_only (degree_C)
sst_gradient (degree_C)


TBD

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
K490 (diffuse_attenuation_coefficient_k490, m^-1)


TBD

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
chl_a (MODIS AQUA, concentration_of_chlorophyll_in_sea_water, mg m-3)


Latest Drifter location. Only location and time are provided.

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
platform_name


DRIFTER location information provided by Physical Oceanography Division (PhOD)/Atlantic Oceanographic & Meteorological Laboratory (AOML).

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
platform_name
pressure (Pressure reduced to mean sea level, Pa)
wave_height (m)
wave_period (s)
type (Type of Drifter, None)


Experimental NRT Global Monthly Cumulative field from NPP VIIRS created from Daily NPP VIIRS. Data provided by NOAA/NESDIS Center for Satellite Applications and Research)

Global 30-day Cumulative chlor_a from Visible and Infrared Imager/Radiometer Suite (VIIRS)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
chlor_a (Chlorophyll Concentration, OC3 Algorithm, mg m^-3)


Experimental NRT Global Weekly Cumulative field from NPP VIIRS created from Daily NPP VIIRS. Data provided by NOAA/NESDIS Center for Satellite Applications and Research)

Global Weekly chlor_a from Visible and Infrared Imager/Radiometer Suite (VIIRS)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
chlor_a (Chlorophyll Concentration, OC3 Algorithm, mg m^-3)


EXPERIMENTAL. AOML Monthly Global Carbon Fluxes

Experimental Global Carbon Fluxes

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
flux (Sea-Air Carbon Flux, molm-2Yr-1)
flux_anom (Sea-Air Carbon Flux Anomaly, molm-2Yr-1)
difco2 (Surface Water-Atmospheric Partial Pressure Difference, uatm)
difco2_anom (Surface Water-Atmospheric Part. Press Diff Anom, uatm)


EXPERIMENTAL. AOML SEASONAL Global Carbon Fluxes

Experimental SEASONAL Global Carbon Fluxes

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
flux (Seasonal Sea-Air Carbon Flux, molm-2Season-1)
flux_anom (Seasonal Sea-Air Carbon Flux Anom, molm-2Season-1)
difco2 (Surface Water-Atmospheric Part Press Diff, uatm)
difco2_anom (Surface Water-Atmospheric Part Press Diff Anom, uatm)


These Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products are produced as part of the NASA's Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program. Remote Sensing Systems generates SSM/I and SSMIS data products using a unified, physically based algorithm to simultaneously retrieve the products. This algorithm is a product of 20 years of refinements, improvements, and verifications.nThe daily files consist of over-ocean measurements (geophysical retrievals or parameters) mapped to a regular 0.25-degree grid complete with data gaps between orbits. Two maps exist for each parameter, one of ascending orbit segments and the other of descending orbit segments. Data on each of the segment maps are averaged where successive orbits cross and are overwritten at the seam or region where the last orbit of the day overlaps the first orbit of the day. Daily data files contain time maps consisting of the UTC observation time for each set of passes (ascending and descending).n Gridded data are organized according to observation date. All dates and times are Coordinated Universal Time (UTC), also known as Greenwich Mean Time (GMT), Zulu Time (Z), Universal Time (UT), and World Time.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
Time_Ascending (Decimal Hour of the Day, Ascending Passes, hour)
WSPD_MF_Ascending (Surface Wind Speed, Medium Frequency, Ascending Passes, m s-1)
Water_Vapor_Ascending (Atmospheric Water Vapor, Ascending Passes, mm)
Cloud_LW_Ascending (Cloud Liquid Water, Ascending Passes, mm)
Rain_Rate_Ascending (Rain Rate, Ascending Passes, mm hr-1)
Time_Descending (Decimal Hour of the Day, Descending Passes, hour)
WSPD_MF_Descending (Surface Wind Speed, Medium Frequency, Descending Passes, m s-1)
Water_Vapor_Descending (Atmospheric Water Vapor, Descending Passes, mm)
Cloud_LW_Descending (Cloud Liquid Water, Descending Passes, mm)
Rain_Rate_Descending (Rain Rate, Descending Passes, mm hr-1)


Glider Location data provided by PhOD/Atlantic Oceanographic & Meteorological Laboratory (AOML). Only location and time are provided.

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
longitude (degrees_east)
WMOID
index_glider
latitude (degrees_north)


Latest Glider location. Only location and time are provided.

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
platform_name


GMI (GPM Microwave Imager) daily products

The daily files consist of over-ocean measurements (geophysical retrievals or parameters) mapped to a regular 0.25-degree grid complete with data gaps between orbits. Two maps exist for each parameter, one of ascending orbit segments and the other of descending orbit segments. Data on each of the segment maps are averaged where successive orbits cross and are overwritten at the seam or region where the last orbit of the day overlaps the first orbit of the day. Daily data files contain time maps consisting of the UTC observation time for each set of passes (ascending and descending).n Gridded data are organized according to observation date. All dates and times are Coordinated Universal Time (UTC), also known as Greenwich Mean Time (GMT), Zulu Time (Z), Universal Time (UT), and World Time.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
Time_Ascending (Decimal Hour of the Day, Ascending Passes, hour)
GMI_SST_Ascending (GMI Sea Surface Temperature, Ascending Passes, degree_C)
WSPD_LF_Ascending (Surface Wind Speed, Low Frequency, Ascending Passes, m s-1)
WSPD_MF_Ascending (Surface Wind Speed, Medium Frequency, Ascending Passes, m s-1)
Water_Vapor_Ascending (Atmospheric Water Vapor, Ascending Passes, mm)
Cloud_LW_Ascending (Cloud Liquid Water, Ascending Passes, mm)
Rain_Rate_Ascending (Rain Rate, Ascending Passes, mm hr-1)
Time_Descending (Decimal Hour of the Day, Descending Passes, hour)
GMI_SST_Descending (GMI Sea Surface Temperature, Descending Passes, degree_C)
WSPD_LF_Descending (Surface Wind Speed, Low Frequency, Descending Passes, m s-1)
WSPD_MF_Descending (Surface Wind Speed, Medium Frequency, Descending Passes, m s-1)
Water_Vapor_Descending (Atmospheric Water Vapor, Descending Passes, mm)
Cloud_LW_Descending (Cloud Liquid Water, Descending Passes, mm)
Rain_Rate_Descending (Rain Rate, Descending Passes, mm hr-1)


GOES Daily Sea Surface Temperature Fields

TBD

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sst (sea surface temperature, degree_C)

CoastWatch Caribbean and Gulf of America Regional Node/Atlantic OceanWatch


GOES MSG Daily Sea Surface Temperature Fields


GOES19 Hourly Sea Surface Temperature Fields


Kd490, NOAA S-NPP VIIRS, Near Real-Time, 750m Sector VY, Daily

Ocean color standard products include normalized water-leaving radiances, chlorophyll-a concentration, diffusive attenuation coefficient at 490 nm and diffusive attenuation coefficient of the photosynthetically available radiation (PAR).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
kd_490 (Diffuse Attenuation Coefficient at 490 nm, m^-1)
swath_latitude (Latitude, degrees_north)
swath_longitude (Longitude, degrees_east)
graphics (graphics overlay planes)


Kd490, NOAA S-NPP VIIRS, Science Quality, 750m Sector VY, Daily


KdPAR, NOAA S-NPP VIIRS, Near Real-Time, 750m Sector VY, Daily

Ocean color standard products include normalized water-leaving radiances, chlorophyll-a concentration, diffusive attenuation coefficient at 490 nm and diffusive attenuation coefficient of the photosynthetically available radiation (PAR).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
kd_PAR (Diffuse Attenuation Coefficient for PAR, m^-1)
swath_latitude (Latitude, degrees_north)
swath_longitude (Longitude, degrees_east)
graphics (graphics overlay planes)


KdPAR, NOAA S-NPP VIIRS, Science Quality, 750m Sector VY, Daily


The Advanced SCATterometer (ASCAT) ocean surface winds are a 10 meter neutral stability wind. These products are processed by NOAA/National Environmental Satellite, Data, and Information Service (NESDIS) utilizing measurements from ASCAT aboard the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) METOP satellite. The current geophysical model function (GMF) being used is CMOD5.5, where the GMF relates the normalized radar cross-section to the ocean surface wind speed and direction. All dates and times are Coordinated Universal Time (UTC), also known as Greenwich Mean Time (GMT), Zulu Time (UT), and World Time.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
uwnd_Ascending (Zonal Wind, m s-1)
vwnd_Ascending (Meridional Wind, m s-1)
WSPD_Ascending (Surface Wind Speed, Ascending Passes, m s-1)
Rain_Flag_Ascending (Rain Flag, Ascending Passes)
Time_Ascending (Decimal Hour of the Day, Ascending Passes, hour)
uwnd_Descending (Zonal Wind, m s-1)
vwnd_Descending (m s-1)
WSPD_Descending (Surface Wind Speed, Descending Passes, m s-1)
Rain_Flag_Descending (Rain Flag, Descending Passes)
Time_Descending (Decimal Hour of the Day, Descending Passes, hour)


TBD

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
CDOM (Aqua MODIS Chromophoric Dissolved Organic Matter Index)


TBD

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
chlor_a (Chlorophyll Concentration, OCI Algorithm, mg m^-3)
Std_Dev_chlor_a (Chlorophyll Concentration standard deviation, mg m^-3)
Maximum_chlor_a (Chlorophyll Concentration Maximum, OCI Algorithm, mg m^-3)
Minimum_chlor_a (Chlorophyll Concentration Minimum, OCI Algorithm, mg m^-3)

CoastWatch Caribbean and Gulf of America Regional Node/Atlantic OceanWatch, Atlantic OceanWatch


Biogeographic framework. Space and time classified simultaneously from synoptic time series using hierarchical and topology preserving machine learning

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
CLASS (None)
P (Prob, Punits)

NOAA CoastWatch, OSU, USF, NASA, UAF, IOOS, NMS


Near Real Time Altimeter-derived Dynamic Height

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


Near Real Time Geostrophic Currents

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
u_current (Eastward Sea Water Velocity, m/s)
v_current (Northward Sea Water Velocity, m/s)


OBIS - ARGOS Satellite Tracking of Animals

Various species have been tracked using ARGOS PTT trackers since the early 1990's. These include Emperor, King and Adelie pengiuns, Light-mantled Sooty, Grey-headed and Black-browed albatrosses, Antarctic and Australian fur seals, Southern Elephant Seal and Blue and Humpback whales. Note that not all data for any species or locations is or will be exposed to OBIS. Geographic coverage is from Heard Island to the west and Macquarie Island to the east and several islands near the southern end of Chile. The data has been filtered to remove most but not all erroneous positions.

DiGIR is an engine which takes XML requests for data and returns a data
subset stored as XML data (as defined in a schema). For more DiGIR
information, see http://digir.sourceforge.net/ ,
http://diveintodigir.ecoforge.net/draft/digirdive.html ,
and http://digir.net/prov/prov_manual.html .
A list of Digir providers is at
http://bigdig.ecoforge.net/wiki/SchemaStatus .

Darwin is the original schema for use with the DiGIR engine.

The Ocean Biogeographic Information System (OBIS) schema extends
Darwin. For more OBIS info, see http://www.iobis.org .
See the OBIS schema at http://www.iobis.org/tech/provider/questions .

Queries: Although OBIS datasets have many variables, most variables
have few values.  The only queries that are likely to succeed MUST
include a constraint for Genus= and MAY include constraints for
Species=, longitude, latitude, and time.

Most OBIS datasets return a maximum of 1000 rows of data per request.
The limitation is imposed by the OBIS administrators.

Available Genera (and number of records): (error)

cdm_data_type = Point
VARIABLES:
longitude (degrees_east)
... (76 more variables)


FishBase is a global information system on fishes. FishBase is a relational database with information to cater to different professionals such as research scientists, fisheries managers, zoologists and many more.  FishBase on the web contains practically all fish species known to science. FishBase was developed at the WorldFish Center in collaboration with the Food and Agriculture Organization of the United Nations (FAO) and many other partners, and with support from the European Commission (EC). Since 2001 FishBase is supported by a consortium of seven research institutions.

DiGIR is an engine which takes XML requests for data and returns a data
subset stored as XML data (as defined in a schema). For more DiGIR
information, see http://digir.sourceforge.net/ ,
http://diveintodigir.ecoforge.net/draft/digirdive.html ,
and http://digir.net/prov/prov_manual.html .
A list of Digir providers is at
http://bigdig.ecoforge.net/wiki/SchemaStatus .

Darwin is the original schema for use with the DiGIR engine.

The Ocean Biogeographic Information System (OBIS) schema extends
Darwin. For more OBIS info, see http://www.iobis.org .
See the OBIS schema at http://www.iobis.org/tech/provider/questions .

Queries: Although OBIS datasets have many variables, most variables
have few values.  The only queries that are likely to succeed MUST
include a constraint for Genus= and MAY include constraints for
Species=, longitude, latitude, and time.

Most OBIS datasets return a maximum of 1000 rows of data per request.
The limitation is imposed by the OBIS administrators.

Available Genera (and number of records): (error)

cdm_data_type = Point
VARIABLES:
longitude (degrees_east)
... (76 more variables)


OBIS - Gulf of Maine Bottom Trawl Survey Data (NEFSC,NMFS,NOAA)

Gulf of Maine Bottom Trawl Survey Data (NEFSC,NMFS,NOAA)

DiGIR is an engine which takes XML requests for data and returns a data
subset stored as XML data (as defined in a schema). For more DiGIR
information, see http://digir.sourceforge.net/ ,
http://diveintodigir.ecoforge.net/draft/digirdive.html ,
and http://digir.net/prov/prov_manual.html .
A list of Digir providers is at
http://bigdig.ecoforge.net/wiki/SchemaStatus .

Darwin is the original schema for use with the DiGIR engine.

The Ocean Biogeographic Information System (OBIS) schema extends
Darwin. For more OBIS info, see http://www.iobis.org .
See the OBIS schema at http://www.iobis.org/tech/provider/questions .

Queries: Although OBIS datasets have many variables, most variables
have few values.  The only queries that are likely to succeed MUST
include a constraint for Genus= and MAY include constraints for
Species=, longitude, latitude, and time.

Most OBIS datasets return a maximum of 1000 rows of data per request.
The limitation is imposed by the OBIS administrators.

Available Genera (and number of records): (none)
Available ScientificNames (and number of records): Alosa aestivalis (14),
Alosa pseudoharengus (77), Alosa sapidissima (16), Amblyraja radiata (54),
Ammodytes dubius (30), Anarhichas lupus (7), Anchoa hepsetus (1),
Anguilliformes o. (1), Argentina silus (7), Artediellus sp. (5),
Aspidophoroides monopterygius (16), Balistidae f. (1), Bathynectes
longispina (4), Bathypolypus arcticus (51), Brosme brosme (18), Cancer
borealis (295), Cancer irroratus (96), Centropristis striata (10),
Chaceon quinquedens (34), Chauliodus sloani (2), Chlorophthalmus
agassizi (1), Citharichthys arctifrons (22), Clupea harengus (141),
Conger oceanicus (1), Congridae f. (2), Crangon septemspinosa (36),
Cryptacanthodes maculatus (9), Cyclopterus lumpus (4), Dactylopterus
volitans (1), Decapoda o. (102), Decapterus macarellus (2), Decapterus
punctatus (1), Dichelopandalus leptocerus (106), Dipturus laevis (27),
Enchelyopus cimbrius (46), Engraulis eurystole (1), Eualus
fabricii (6), Gadidae f. (4), Gadus morhua (104), Gasterosteus
aculeatus (4), Glyptocephalus cynoglossus (109), Helicolenus
dactylopterus (31), Hemitripterus americanus (105), Hippoglossina
oblonga (90), Hippoglossoides platessoides (127), Hippoglossus
hippoglossus (14), Homarus americanus (371), Illex illecebrosus (142),
Laemonema barbatulum (2), Lebbeus groenlandicus (3), Lebbeus
polaris (26), Lepophidium profundorum (10), Leptoclinus maculatus (4),
Leucoraja erinacea (110), Leucoraja garmani (1), Leucoraja
ocellata (90), Limanda ferruginea (83), Lithodes maja (39), Loligo
pealeii (121), Lolliguncula brevis (1), Lophius americanus (119),
Lumpenus lumpretaeformis (3), Lycenchelys verrillii (3), Macrouridae
f. (9), Majidae f. (3), Malacoraja senta (55), Maurolicus
weitzmani (8), Melanogrammus aeglefinus (138), Melanostigma
atlanticum (23), Menidia menidia (1), Menticirrhus saxatilis (1),
Merluccius albidus (5), Merluccius bilinearis (261), Morone
saxatilis (1), Mustelus canis (3), Myctophidae f. (14), Myoxocephalus
aenaeus (4), Myoxocephalus octodecemspinosus (144), Myxine
glutinosa (27), Nemichthys scolopaceus (1), Octopoda o. (22), Octopus
vulgaris (20), Ophichthidae f. (1), Ophidiidae f. (1), Ovalipes
ocellatus (38), Pandalus borealis (421), Pandalus montagui (40),
Pandalus propinquus (63), Paralepididae f. (4), Paralichthys
dentatus (16), Pasiphaea multidentata (34), Peprilus
triacanthus (133), Pholis gunnellus (2), Phycis chesteri (14),
Placopecten magellanicus (96), Pollachius virens (98), Pomatomus
saltatrix (22), Pontophilus norvegicus (17), Priacanthus arenatus (3),
Prionotus carolinus (11), Prionotus evolans (1), Pseudopleuronectes
americanus (109), Reinhardtius hippoglossoides (2), Scomber
scombrus (47), Scomberesox saurus (10), Scophthalmus aquosus (68),
Sebastes fasciatus (132), Sepiolodae f. (3), Spirontocaris
liljeborgii (22), Squalus acanthias (541), Stenotomus chrysops (7),
Stephanolepis hispidus (2), Stoloteuthis leucoptera (4), Stomias boa
ferox (1), Symphurus civitatium (1), Symphurus sp. (1), Syngnathus
fuscus (3), Tautogolabrus adspersus (23), Torpedo nobiliana (2),
Trichiuridae f. (1), Triglidae f. (2), Triglops murrayi (6),
Undetermined (2), Urophycis chuss (212), Urophycis regia (18),
Urophycis sp. (17), Urophycis tenuis (129), Zenopsis conchifera (3),
Zoarces americanus (68), Zoarcidae f. (1)

cdm_data_type = Point
VARIABLES:
longitude (degrees_east)
... (76 more variables)


OBIS - Gwaii Haanas Marine Plants (OBIS Canada)

The database covers the Haida Gwaii archipelago on the West Coast of Canada, including all species of the Haida Gwaii region from any published source, accessible collection and unpublished observations from scientists.Lists all marine plant species and maps their distributions from the first records (1911) to 1999 and includes 348 seaweed and 4 seagrass species from 456 intertidal to shallow subtidal locations. This inventory had detailed regional starting points (Hawkes et al. 1978; Scagel et al. 1993) and >90% of the plant species are represented by specimens in the Phycological Herbarium of the University of British Columbia Botany Department. OBIS Schema concepts implemented in this data set are:DateLastModified, InstitutionCode, CollectionCode, CatalogNumber, ScientificName, Phylum, Class, Order, Family, Genus, Species, Subspecies, ScientificNameAuthor, YearCollected, MonthCollected, DayCollected, Country, Locality, Longitude, Latitude, Citation, DepthRange. For OBIS Schema concept details see http://www.iobis.org/tech/provider/

DiGIR is an engine which takes XML requests for data and returns a data
subset stored as XML data (as defined in a schema). For more DiGIR
information, see http://digir.sourceforge.net/ ,
http://diveintodigir.ecoforge.net/draft/digirdive.html ,
and http://digir.net/prov/prov_manual.html .
A list of Digir providers is at
http://bigdig.ecoforge.net/wiki/SchemaStatus .

Darwin is the original schema for use with the DiGIR engine.

The Ocean Biogeographic Information System (OBIS) schema extends
Darwin. For more OBIS info, see http://www.iobis.org .
See the OBIS schema at http://www.iobis.org/tech/provider/questions .

Queries: Although OBIS datasets have many variables, most variables
have few values.  The only queries that are likely to succeed MUST
include a constraint for Genus= and MAY include constraints for
Species=, longitude, latitude, and time.

Most OBIS datasets return a maximum of 1000 rows of data per request.
The limitation is imposed by the OBIS administrators.

Available Genera (and number of records): Acrochaetium (5),
Acrosiphonia (30), Acrothrix (1), Agarum (40), Ahnfeltia (13),
Alaria (144), Amplisiphonia (3), Analipus (27), Antithamnion (33),
Antithamnionella (2), Audouinella (4), Bangia (11),
Batrachospermum (1), Blidingia (6), Bolbocoleon (1),
Bonnemaisonia (10), Bossiella (57), Botryocladia (4),
Calliarthron (30), Callithamnion (57), Callophyllis (66),
Capsosiphon (4), Ceramium (55), Chaetomorpha (2), Chondracanthus (35),
Cladophora (65), Clathromorphum (4), Codium (174), Coilodesme (5),
Collinsiella (6), Colpomenia (26), Constantinea (14), Corallina (122),
Costaria (89), Cryptonemia (4), Cryptopleura (27),
Cryptosiphonia (70), Cumagloia (3), Cymathere (45), Cystoseira (7),
Delesseria (15), Derbesia (18), Desmarestia (99), Dictyosiphon (2),
Dictyota (19), Dilsea (4), Ectocarpus (20), Egregia (135),
Eisenia (3), Elachista (9), Endocladia (88), Enteromorpha (95),
Erythrocladia (3), Erythrophyllum (12), Erythrotrichia (8),
Eudesme (5), Euthora (3), Farlowia (8), Fauchea (18), Feldmannia (2),
Fryeella (6), Fucus (213), Gelidium (4), Gloiopeltis (61),
Gloiosiphonia (1), Gracilaria (14), Grateloupia (1),
Halosaccion (129), Halymenia (6), Haplogloia (8), Harveyella (1),
Hecatonema (1), Hedophyllum (116), Herposiphonia (14),
Heterosiphonia (15), Hildenbrandia (12), Hollenbergia (8),
Hymenena (27), Kallymeniopsis (2), Laminaria (238), Leathesia (95),
Lessoniopsis (67), Lithophyllum (7), Lithothamnium (88),
Lithothrix (1), Lola (1), Macrocystis (124), Melanosiphon (7),
Melobesia (4), Membranoptera (17), Mesophyllum (19), Microcladia (53),
Monostroma (10), Myriogramme (1), Myrionema (4), Navicula (1),
Nemalion (2), Neodilsea (1), Neoptilota (18), Nienburgia (2),
Nitophyllum (13), Odonthalia (134), Opuntiella (26), Palmaria (26),
Pelvetiopsis (1), Percursaria (1), Petalonia (8), Peyssonnelia (11),
Phaeosaccion (2), Phaeostrophion (2), Phycodrys (3),
Phyllospadix (117), Pikea (6), Pilayella (17), Pleonosporium (2),
Pleurophycus (42), Plocamium (52), Polyneura (39), Polysiphonia (68),
Porphyra (147), Porphyropsis (5), Prasiola (9), Prionitis (53),
Pseudolithophyllum (5), Pterochondria (9), Pterosiphonia (51),
Pterygophora (21), Ptilota (46), Pugetia (11), Punctaria (2),
Ralfsia (24), Rhizoclonium (10), Rhodochorton (5), Rhodomela (7),
Rhodophysema (2), Rhodoptilum (4), Rhodymenia (6), Rosenvingiella (1),
Ruppia (9), Salicornia (10), Sarcodiotheca (12), Sargassum (19),
Saundersella (10), Schizymenia (8), Scinaia (12), Scytosiphon (11),
Smithora (15), Soranthera (23), Sphacelaria (5), Spongomorpha (13),
Spongonema (3), Stictyosiphon (2), Stylonema (1), Syringoderma (6),
Trentepohlia (1), Turnerella (1), Ulothrix (6), Ulva (154),
Ulvella (1), Urospora (2), Verrucaria (7), Zostera (82)

cdm_data_type = Point
VARIABLES:
longitude (degrees_east)
... (76 more variables)


OBIS - SEAMAP (Rutgers) - marine mammals, birds and turtles

The Ocean Biogeographic Information System - Spatial Ecological Analysis of Megavertabrate Populations (OBIS-SEAMAP) is a spatially referenced database of data related to marine mammals, birds and turtles. This project is one of several nodes comprising the Ocean Biogeographic Information System (OBIS).

DiGIR is an engine which takes XML requests for data and returns a data
subset stored as XML data (as defined in a schema). For more DiGIR
information, see http://digir.sourceforge.net/ ,
http://diveintodigir.ecoforge.net/draft/digirdive.html ,
and http://digir.net/prov/prov_manual.html .
A list of Digir providers is at
http://bigdig.ecoforge.net/wiki/SchemaStatus .

Darwin is the original schema for use with the DiGIR engine.

The Ocean Biogeographic Information System (OBIS) schema extends
Darwin. For more OBIS info, see http://www.iobis.org .
See the OBIS schema at http://www.iobis.org/tech/provider/questions .

Queries: Although OBIS datasets have many variables, most variables
have few values.  The only queries that are likely to succeed MUST
include a constraint for Genus= and MAY include constraints for
Species=, longitude, latitude, and time.

Most OBIS datasets return a maximum of 1000 rows of data per request.
The limitation is imposed by the OBIS administrators.

Available Genera (and number of records): Actitis (13),
Aechmophorus (13015), Alca (362), Alle (8858), Anas (20383),
Anous (66), Anser (1), Aphriza (17), Aptenodytes (43),
Arctocephalus (20), Ardea (8542), Arenaria (141), Aythya (17396),
Balaenoptera (9140), Berardius (61), Brachyramphus (2530),
Branta (3335), Brevoortia (149), Bucephala (98937), Bulweria (32),
Buteo (31), Calidris (185), Callorhinus (1799), Calonectris (2217),
Caranx (24), Caretta (18679), Casmerodius (2), Catharacta (1022),
Cathartes (5), Catoptrophorus (14), Cephalorhynchus (26),
Cepphus (11227), Cerorhinca (8842), Cetorhinus (472), Charadrius (47),
Chelonia (1192), Chen (83), Chionis (7), Chlidonias (809),
Chloroscombrus (1), Circus (51), Clangula (3525), Colaptes (5),
Columba (48), Corvus (3119), Coryphaena (120), Cubaris (2047),
Cygnus (301), Cystophora (22), Daption (1688), Delphinapterus (9),
Delphinus (3255), Dermochelys (473), Diomedea (2779), Egretta (5),
Enhydra (2079), Eretmochelys (2), Erignathus (43),
Eschrichtius (1648), Eubalaena (808), Eudyptes (79), Eumetopias (293),
Falco (15), Feresa (77), Fratercula (2463), Fregata (560),
Fregetta (791), Fulica (32), Fulmarus (42217), Gallinago (3),
Garrodia (25), Gavia (15422), Genus (1364), Globicephala (2506),
Grampus (2352), Gygis (14), Haematopus (162), Haliaeetus (2433),
Halichoerus (9487), Halobaena (557), Heteroscelus (4), Himantopus (2),
Histrio (271), Histrionicus (4151), Hydrobates (165), Hyperoodon (52),
Indopacetus (4), Kogia (415), Lagenodelphis (38),
Lagenorhynchus (2948), Larus (138165), Lepidochelys (1637),
Limnodromus (12), Limosa (34), Lissodelphis (570), Lontra (75),
Lophodytes (1045), Macronectes (1412), Manta (53), Megaceryle (833),
Megaptera (12415), Melanitta (54800), Mergus (15475),
Mesoplodon (331), Mirounga (7728), Mola (2757), Morus (8944),
Myliobatis (2), Nesofregetta (1), Numenius (16), Oceanites (9448),
Oceanodroma (11690), Odobenus (146), Opisthonema (1), Orcinus (423),
Oxyura (756), Pachyptila (3407), Pagodroma (454), Pagophila (1305),
Pagophilus (47), Pandion (100), Patagioenas (8), Pelagodroma (18),
Pelecanoides (410), Pelecanus (3148), Peponocephala (43),
Phaethon (209), Phalacrocorax (21676), Phalacrocorax Spp. (1962),
Phalaropus (10516), Phoca (9040), Phocoena (14526),
Phocoenoides (4385), Phoebastria (12166), Phoebetria (1035),
Physeter (1603), Pluvialis (53), Podiceps (9543), Podilymbus (3),
Pogonias (1), Polysticta (8), Prionace (464), Procellaria (2723),
Pseudobulweria (14), Pseudorca (76), Pterodroma (2128),
Ptychoramphus (11032), Puffinus (40941), Pusa (125), Pygoscelis (480),
Rachycentron (6), Recurvirostra (14), Rhincodon (18), Rhinoptera (55),
Rissa (26672), Rynchops (3), Scomberomorus (18), Somateria (568),
Spheniscus (13), Sphyrna (317), Stenella (5011), Steno (268),
Stercorarius (7383), Sterna (6974), Stomolophus (3), Sula (831),
Synthliboramphus (849), Thalassoica (898), Thunnus (19),
Trichechus (1), Tringa (1083), Tursiops (12455), Uria (48880),
Ursus (25), Xiphias (16), Zalophus (4668), Ziphius (455)

cdm_data_type = Point
VARIABLES:
longitude (degrees_east)
... (76 more variables)


Sea-Surface Temperature, NOAA ACSPO Daily Global 0.02° Gridded Super-collated SST and Thermal Fronts Reanalysis, 2012-present, Daily (L3S-LEO degrees C)

Sea surface temperature retrievals produced by NOAA/NESDIS/STAR office

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sea_surface_temperature (sea surface sub-skin temperature, degree_C)
sses_bias (SSES bias estimate, degree_C)
sses_standard_deviation (degree_C)
l2p_flags
l3s_flags
sst_count (Count of input L3U SST pixels)
quality_level (quality level of SST pixel)
sst_source (Source of major (highest weight) contribution to sst)
satellite_zenith_angle (degrees)
dt_analysis (deviation from SST reference, kelvin)
sea_ice_fraction (1)
wind_speed (m s-1)
sst_dtime (time difference from reference time, seconds)
measurement_dtime (time difference of highest weighted input SST from reference time. Is equal to sst_dtime for pixels where L3S-LEO-PM_N is available, seconds)
sst_gradient_magnitude (SST gradient magnitude value, kelvin/km)
sst_front_position (Binary SST front position indicator)


Sea-Surface Temperature, NOAA ACSPO Daily Global 0.02° Gridded Super-collated SST and Thermal Fronts, Near real-time, Daily (L3S-LEO degrees C)


Underway ship data provided by OCED/Atlantic Oceanographic & Meteorological Laboratory (AOML). Only location and time are provided.

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)


Ship Allure of the Seas Underway Data. Hourly Downsampled.

Hourly underway ship data provided by OCED/Atlantic Oceanographic & Meteorological Laboratory (AOML). Only location and time are provided.

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)


Ship Celebrity Flora Underway Data. Hourly Downsampled.


Ship Equinox Underway Data. Hourly Downsampled.


Ship MV Skogafoss Underway Data. Hourly Downsampled.


Ship RV Gordon Gunter Underway Data. Hourly Downsampled.


Ship RV Henry Bigelow Underway Data. Hourly Downsampled.


Ship RV Ronald Brown Underway Data. Hourly Downsampled.


Ship RV Walton Smith Underway Data. Hourly Downsampled.


Synthetic temperature fields from METEOROMS

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
temperature (sea water temperature, Celsius)


Synthetic temperature/salinity profiles for Hurricane Emily. Quality Flag = Preliminary

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
temperature (sea water temperature, K)
salinity (sea water salinity, 1e-3)


Synthetic temperature/salinity profiles for Hurricane Rita. Quality Flag = Preliminary

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
temperature (sea water temperature, K)
salinity (sea water salinity, 1e-3)


Synthetic temperature/salinity profiles for Hurricane Wilma. Quality Flag = Preliminary

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
temperature (sea water temperature, K)
salinity (sea water salinity, 1e-3)


Tropical Cyclone Heat Potential

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
Tropical_Cyclone_Heat_Potential (KJcm-2)
D26 (Depth of the 26C isotherm, m)


Topography, ETOPO1, 0.0166667 degrees, Global (longitude -180 to 180), (Ice Sheet Surface)

ETOPO1 is a 1 arc-minute global relief model of Earth's surface that integrates land topography and ocean bathymetry. It was built from numerous global and regional data sets. This is the 'Ice Surface' version, with the top of the Antarctic and Greenland ice sheets. The horizontal datum is WGS-84, the vertical datum is Mean Sea Level. Keywords: Bathymetry, Digital Elevation. This is the grid/node-registered version: the dataset's latitude and longitude values mark the centers of the cells.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
altitude (m)


Topography, ETOPO1, 0.0166667 degrees, Global (longitude 0 to 360), (Ice Sheet Surface)


USDOC/NOAA/NESDIS ECDC USC Vibrio Risk Analysis

Preliminary and experimental Vibrio Risk fields

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
daily_vibrio_risk (Risk Level)


USDOC/NOAA/NESDIS USC Cumulative Vibrio Risk Analysis

Preliminary and experimental Weekly Cumulative Vibrio Risk fields

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
weekly_cumulative_vibrio_risk_maximum (Risk Level)
weekly_cumulative_vibrio_risk_mean (Risk Level)


USDOC/NOAA/NESDIS USC Forecast Vibrio Risk Analysis

Preliminary and experimental Predicted Vibrio Risk fields

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
forecast_daily_vibrio_risk (Risk Level)


World Ocean Atlas 2023 : sea_water_practical_salinity December  0.25 degree

Climatological mean salinity for the global ocean from in situ profile data

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
s_an (Objectively analyzed mean fields for sea_water_practical_salinity at standard depth levels., PSU)


World Ocean Atlas 2023 : sea_water_temperature December  0.25 degree

Climatological mean temperature for the global ocean from in situ profile data

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
t_an (Objectively analyzed mean fields for sea_water_temperature at standard depth levels., degree_C)


Latest XBT profile location. Only location and time are provided.

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
platform_name