Show/Hide data repr

xarray.Dataset

Dimensions:
- time: 202228190
Coordinates: (1)
- time
  (time)
  float64
  3.621e+09 3.621e+09 ... 3.806e+09
  axis :
  T
  calendar :
  gregorian
  long_name :
  time
  standard_name :
  time
  units :
  seconds since 1900-01-01 0:0:0
```
array([3.620658e+09, 3.620658e+09, 3.620658e+09, ..., 3.806256e+09,
       3.806256e+09, 3.806256e+09])
```

Data variables: (38)

conductivity

(time)

float64

dask.array<chunksize=(1936658,), meta=np.ndarray>

comment :: Seawater conductivity refers to the ability of seawater to conduct electricity. The presence of ions in the seawater, such as salt, increases the electrical conducting ability of seawater. As such, conductivity can be used as a proxy for determining the quantity of salt in a sample of seawater. This is the unprocessed data that are output directly from the sensor which are then converted to salinity in S m-1.
coordinates :: time lat lon depth
data_product_identifier :: CONDWAT_L0
long_name :: Seawater Conductivity Measurement
precision :: 0
units :: counts





  
      Array  Chunk 
  
  
     Bytes  1.62 GB   15.49 MB 
     Shape  (202228190,)   (1936658,) 
     Count  106 Tasks  105 Chunks 
     Type  float64  numpy.ndarray

ctd_tc_oxygen

(time)

float64

dask.array<chunksize=(1936658,), meta=np.ndarray>

ancillary_variables :: oxygen
comment :: Dissolved Oxygen (DO) Concentration from the Stable Response Dissolved Oxygen Instrument is a measure of the concentration of gaseous oxygen mixed in seawater.
coordinates :: time lat lon depth
data_product_identifier :: DOCONCS_L1
long_name :: DO
precision :: 4
units :: µmol L-1





  
      Array  Chunk 
  
  
     Bytes  1.62 GB   15.49 MB 
     Shape  (202228190,)   (1936658,) 
     Count  106 Tasks  105 Chunks 
     Type  float64  numpy.ndarray

ctd_tc_oxygen_qc_executed

(time)

uint8

dask.array<chunksize=(1936658,), meta=np.ndarray>

coordinates :: time lat lon depth
long_name :: QC Checks Executed





  
      Array  Chunk 
  
  
     Bytes  202.23 MB   1.94 MB 
     Shape  (202228190,)   (1936658,) 
     Count  106 Tasks  105 Chunks 
     Type  uint8  numpy.ndarray

ctd_tc_oxygen_qc_results

(time)

uint8

dask.array<chunksize=(1936658,), meta=np.ndarray>

coordinates :: time lat lon depth
long_name :: QC Checks Results





  
      Array  Chunk 
  
  
     Bytes  202.23 MB   1.94 MB 
     Shape  (202228190,)   (1936658,) 
     Count  106 Tasks  105 Chunks 
     Type  uint8  numpy.ndarray

ctdbp_no_seawater_conductivity

(time)

float64

dask.array<chunksize=(1936658,), meta=np.ndarray>

ancillary_variables :: ctdbp_no_seawater_conductivity_qartod_results ctdbp_no_seawater_conductivity_qartod_executed ctdbp_no_seawater_pressure seawater_temperature conductivity
comment :: Seawater conductivity refers to the ability of seawater to conduct electricity. The presence of ions in the seawater, such as salt, increases the electrical conducting ability of seawater. As such, conductivity can be used as a proxy for determining the quantity of salt in a sample of seawater.
coordinates :: time lat lon depth
data_product_identifier :: CONDWAT_L1
long_name :: Seawater Conductivity
precision :: 6
standard_name :: sea_water_electrical_conductivity
units :: S m-1





  
      Array  Chunk 
  
  
     Bytes  1.62 GB   15.49 MB 
     Shape  (202228190,)   (1936658,) 
     Count  106 Tasks  105 Chunks 
     Type  float64  numpy.ndarray

ctdbp_no_seawater_conductivity_qartod_results

(time)

uint8

dask.array<chunksize=(1936658,), meta=np.ndarray>

comment :: Summary QARTOD test flags. For each datum, the flag is set to the most significant result of all QARTOD tests run for that datum.
coordinates :: time lat lon depth
flag_meanings :: pass not_evaluated suspect_or_of_high_interest fail missing_data
flag_values :: 1,2,3,4,9
long_name :: Seawater Conductivity QARTOD Summary Flag
references :: https://ioos.noaa.gov/project/qartod https://github.com/ioos/ioos_qc
standard_name :: sea_water_electrical_conductivity status_flag





  
      Array  Chunk 
  
  
     Bytes  202.23 MB   1.94 MB 
     Shape  (202228190,)   (1936658,) 
     Count  106 Tasks  105 Chunks 
     Type  uint8  numpy.ndarray

ctdbp_no_seawater_conductivity_qc_executed

(time)

uint8

dask.array<chunksize=(1936658,), meta=np.ndarray>

coordinates :: time lat lon depth
long_name :: QC Checks Executed





  
      Array  Chunk 
  
  
     Bytes  202.23 MB   1.94 MB 
     Shape  (202228190,)   (1936658,) 
     Count  106 Tasks  105 Chunks 
     Type  uint8  numpy.ndarray

ctdbp_no_seawater_conductivity_qc_results

(time)

uint8

dask.array<chunksize=(1936658,), meta=np.ndarray>

coordinates :: time lat lon depth
long_name :: QC Checks Results





  
      Array  Chunk 
  
  
     Bytes  202.23 MB   1.94 MB 
     Shape  (202228190,)   (1936658,) 
     Count  106 Tasks  105 Chunks 
     Type  uint8  numpy.ndarray

ctdbp_no_seawater_pressure

(time)

float64

dask.array<chunksize=(1936658,), meta=np.ndarray>

ancillary_variables :: ctdbp_no_seawater_pressure_qartod_results ctdbp_no_seawater_pressure_qartod_executed pressure pressure_temp
comment :: Seawater Pressure refers to the pressure exerted on a sensor in situ by the weight of the column of seawater above it. It is calculated by subtracting one standard atmosphere from the absolute pressure at the sensor to remove the weight of the atmosphere on top of the water column. The pressure at a sensor in situ provides a metric of the depth of that sensor.
coordinates :: time lat lon depth
data_product_identifier :: PRESWAT_L1
long_name :: Seawater Pressure
precision :: 3
standard_name :: sea_water_pressure
units :: dbar





  
      Array  Chunk 
  
  
     Bytes  1.62 GB   15.49 MB 
     Shape  (202228190,)   (1936658,) 
     Count  106 Tasks  105 Chunks 
     Type  float64  numpy.ndarray

ctdbp_no_seawater_pressure_qartod_results

(time)

uint8

dask.array<chunksize=(1936658,), meta=np.ndarray>

comment :: Summary QARTOD test flags. For each datum, the flag is set to the most significant result of all QARTOD tests run for that datum.
coordinates :: time lat lon depth
flag_meanings :: pass not_evaluated suspect_or_of_high_interest fail missing_data
flag_values :: 1,2,3,4,9
long_name :: Seawater Pressure QARTOD Summary Flag
references :: https://ioos.noaa.gov/project/qartod https://github.com/ioos/ioos_qc
standard_name :: sea_water_pressure status_flag





  
      Array  Chunk 
  
  
     Bytes  202.23 MB   1.94 MB 
     Shape  (202228190,)   (1936658,) 
     Count  106 Tasks  105 Chunks 
     Type  uint8  numpy.ndarray

ctdbp_no_seawater_pressure_qc_executed

(time)

uint8

dask.array<chunksize=(1936658,), meta=np.ndarray>

coordinates :: time lat lon depth
long_name :: QC Checks Executed





  
      Array  Chunk 
  
  
     Bytes  202.23 MB   1.94 MB 
     Shape  (202228190,)   (1936658,) 
     Count  106 Tasks  105 Chunks 
     Type  uint8  numpy.ndarray

ctdbp_no_seawater_pressure_qc_results

(time)

uint8

dask.array<chunksize=(1936658,), meta=np.ndarray>

coordinates :: time lat lon depth
long_name :: QC Checks Results





  
      Array  Chunk 
  
  
     Bytes  202.23 MB   1.94 MB 
     Shape  (202228190,)   (1936658,) 
     Count  106 Tasks  105 Chunks 
     Type  uint8  numpy.ndarray

density

(time)

float64

dask.array<chunksize=(1936658,), meta=np.ndarray>

ancillary_variables :: pressure practical_salinity temperature
comment :: Seawater Density is defined as mass per unit volume and is calculated from the conductivity, temperature and depth of a seawater sample using the TEOS-10 equation.
coordinates :: time lat lon depth
data_product_identifier :: DENSITY_L2
long_name :: Seawater Density
precision :: 3
standard_name :: sea_water_density
units :: kg m-3





  
      Array  Chunk 
  
  
     Bytes  1.62 GB   15.49 MB 
     Shape  (202228190,)   (1936658,) 
     Count  106 Tasks  105 Chunks 
     Type  float64  numpy.ndarray

density_qc_executed

(time)

uint8

dask.array<chunksize=(1936658,), meta=np.ndarray>

coordinates :: time lat lon depth
long_name :: QC Checks Executed





  
      Array  Chunk 
  
  
     Bytes  202.23 MB   1.94 MB 
     Shape  (202228190,)   (1936658,) 
     Count  106 Tasks  105 Chunks 
     Type  uint8  numpy.ndarray

density_qc_results

(time)

uint8

dask.array<chunksize=(1936658,), meta=np.ndarray>

coordinates :: time lat lon depth
long_name :: QC Checks Results





  
      Array  Chunk 
  
  
     Bytes  202.23 MB   1.94 MB 
     Shape  (202228190,)   (1936658,) 
     Count  106 Tasks  105 Chunks 
     Type  uint8  numpy.ndarray

deployment

(time)

int32

dask.array<chunksize=(1936658,), meta=np.ndarray>

long_name :: Deployment Number
name :: deployment





  
      Array  Chunk 
  
  
     Bytes  808.91 MB   7.75 MB 
     Shape  (202228190,)   (1936658,) 
     Count  106 Tasks  105 Chunks 
     Type  int32  numpy.ndarray

depth

(time)

float64

dask.array<chunksize=(1936658,), meta=np.ndarray>

ancillary_variables :: ctdbp_no_seawater_pressure
axis :: Z
comment :: Depth (m) calculated from pressure (dbar) and latitude.
long_name :: Depth calculated from pressure
precision :: 3
units :: m





  
      Array  Chunk 
  
  
     Bytes  1.62 GB   15.49 MB 
     Shape  (202228190,)   (1936658,) 
     Count  106 Tasks  105 Chunks 
     Type  float64  numpy.ndarray

dissolved_oxygen

(time)

float64

dask.array<chunksize=(1936658,), meta=np.ndarray>

ancillary_variables :: ctd_tc_oxygen practical_salinity pressure temperature
comment :: Dissolved Oxygen Concentration from the Stable Response Dissolved Oxygen Instrument is a measure of the concentration of gaseous oxygen mixed in seawater. This data product is corrected for salinity, temperature, and depth.
coordinates :: time lat lon depth
data_product_identifier :: DOXYGEN_L2
long_name :: DO - Pressure Temp Sal Corrected
precision :: 4
standard_name :: moles_of_oxygen_per_unit_mass_in_sea_water
units :: µmol kg-1





  
      Array  Chunk 
  
  
     Bytes  1.62 GB   15.49 MB 
     Shape  (202228190,)   (1936658,) 
     Count  106 Tasks  105 Chunks 
     Type  float64  numpy.ndarray

dissolved_oxygen_qc_executed

(time)

uint8

dask.array<chunksize=(1936658,), meta=np.ndarray>

coordinates :: time lat lon depth
long_name :: QC Checks Executed





  
      Array  Chunk 
  
  
     Bytes  202.23 MB   1.94 MB 
     Shape  (202228190,)   (1936658,) 
     Count  106 Tasks  105 Chunks 
     Type  uint8  numpy.ndarray

dissolved_oxygen_qc_results

(time)

uint8

dask.array<chunksize=(1936658,), meta=np.ndarray>

coordinates :: time lat lon depth
long_name :: QC Checks Results





  
      Array  Chunk 
  
  
     Bytes  202.23 MB   1.94 MB 
     Shape  (202228190,)   (1936658,) 
     Count  106 Tasks  105 Chunks 
     Type  uint8  numpy.ndarray

driver_timestamp

(time)

float64

dask.array<chunksize=(1936658,), meta=np.ndarray>

comment :: Driver timestamp, UTC
long_name :: Driver Timestamp, UTC
units :: seconds since 1900-01-01





  
      Array  Chunk 
  
  
     Bytes  1.62 GB   15.49 MB 
     Shape  (202228190,)   (1936658,) 
     Count  106 Tasks  105 Chunks 
     Type  float64  numpy.ndarray

ingestion_timestamp

(time)

float64

dask.array<chunksize=(1936658,), meta=np.ndarray>

comment :: The NTP Timestamp for when the granule was ingested
long_name :: Ingestion Timestamp, UTC
units :: seconds since 1900-01-01





  
      Array  Chunk 
  
  
     Bytes  1.62 GB   15.49 MB 
     Shape  (202228190,)   (1936658,) 
     Count  106 Tasks  105 Chunks 
     Type  float64  numpy.ndarray

internal_timestamp

(time)

float64

dask.array<chunksize=(1936658,), meta=np.ndarray>

comment :: Internal timestamp, UTC
long_name :: Internal Timestamp, UTC
units :: seconds since 1900-01-01





  
      Array  Chunk 
  
  
     Bytes  1.62 GB   15.49 MB 
     Shape  (202228190,)   (1936658,) 
     Count  106 Tasks  105 Chunks 
     Type  float64  numpy.ndarray

oxy_calphase

(time)

float64

dask.array<chunksize=(1936658,), meta=np.ndarray>

coordinates :: time lat lon depth
long_name :: Calibrated Phase
precision :: 0
units :: counts





  
      Array  Chunk 
  
  
     Bytes  1.62 GB   15.49 MB 
     Shape  (202228190,)   (1936658,) 
     Count  106 Tasks  105 Chunks 
     Type  float64  numpy.ndarray

oxy_temp

(time)

float64

dask.array<chunksize=(1936658,), meta=np.ndarray>

coordinates :: time lat lon depth
long_name :: DOSTA Temperature
precision :: 0
units :: counts





  
      Array  Chunk 
  
  
     Bytes  1.62 GB   15.49 MB 
     Shape  (202228190,)   (1936658,) 
     Count  106 Tasks  105 Chunks 
     Type  float64  numpy.ndarray

oxygen

(time)

float64

dask.array<chunksize=(1936658,), meta=np.ndarray>

comment :: Dissolved Oxygen (DO) unprocessed measurement from the Stable Response Dissolved Oxygen Instrument.
coordinates :: time lat lon depth
data_product_identifier :: DOCONCS-CNT_L0
long_name :: DO Measurement
precision :: 0
units :: counts





  
      Array  Chunk 
  
  
     Bytes  1.62 GB   15.49 MB 
     Shape  (202228190,)   (1936658,) 
     Count  106 Tasks  105 Chunks 
     Type  float64  numpy.ndarray

port_timestamp

(time)

float64

dask.array<chunksize=(1936658,), meta=np.ndarray>

comment :: Port timestamp, UTC
long_name :: Port Timestamp, UTC
units :: seconds since 1900-01-01





  
      Array  Chunk 
  
  
     Bytes  1.62 GB   15.49 MB 
     Shape  (202228190,)   (1936658,) 
     Count  106 Tasks  105 Chunks 
     Type  float64  numpy.ndarray

practical_salinity

(time)

float64

dask.array<chunksize=(1936658,), meta=np.ndarray>

ancillary_variables :: practical_salinity_qartod_results practical_salinity_qartod_executed pressure conductivity temperature
comment :: Salinity is generally defined as the concentration of dissolved salt in a parcel of seawater. Practical Salinity is a more specific unitless quantity calculated from the conductivity of seawater and adjusted for temperature and pressure. It is approximately equivalent to Absolute Salinity (the mass fraction of dissolved salt in seawater) but they are not interchangeable.
coordinates :: time lat lon depth
data_product_identifier :: PRACSAL_L2
long_name :: Practical Salinity
precision :: 4
standard_name :: sea_water_practical_salinity
units :: 1





  
      Array  Chunk 
  
  
     Bytes  1.62 GB   15.49 MB 
     Shape  (202228190,)   (1936658,) 
     Count  106 Tasks  105 Chunks 
     Type  float64  numpy.ndarray

practical_salinity_qartod_results

(time)

uint8

dask.array<chunksize=(1936658,), meta=np.ndarray>

comment :: Summary QARTOD test flags. For each datum, the flag is set to the most significant result of all QARTOD tests run for that datum.
coordinates :: time lat lon depth
flag_meanings :: pass not_evaluated suspect_or_of_high_interest fail missing_data
flag_values :: 1,2,3,4,9
long_name :: Practical Salinity QARTOD Summary Flag
references :: https://ioos.noaa.gov/project/qartod https://github.com/ioos/ioos_qc
standard_name :: sea_water_practical_salinity status_flag





  
      Array  Chunk 
  
  
     Bytes  202.23 MB   1.94 MB 
     Shape  (202228190,)   (1936658,) 
     Count  106 Tasks  105 Chunks 
     Type  uint8  numpy.ndarray

practical_salinity_qc_executed

(time)

uint8

dask.array<chunksize=(1936658,), meta=np.ndarray>

coordinates :: time lat lon depth
long_name :: QC Checks Executed





  
      Array  Chunk 
  
  
     Bytes  202.23 MB   1.94 MB 
     Shape  (202228190,)   (1936658,) 
     Count  106 Tasks  105 Chunks 
     Type  uint8  numpy.ndarray

practical_salinity_qc_results

(time)

uint8

dask.array<chunksize=(1936658,), meta=np.ndarray>

coordinates :: time lat lon depth
long_name :: QC Checks Results





  
      Array  Chunk 
  
  
     Bytes  202.23 MB   1.94 MB 
     Shape  (202228190,)   (1936658,) 
     Count  106 Tasks  105 Chunks 
     Type  uint8  numpy.ndarray

pressure

(time)

float64

dask.array<chunksize=(1936658,), meta=np.ndarray>

comment :: Seawater Pressure refers to the pressure exerted on a sensor in situ by the weight of the column of seawater above it. It is calculated by subtracting one standard atmosphere from the absolute pressure at the sensor to remove the weight of the atmosphere on top of the water column. The pressure at a sensor in situ provides a metric of the depth of that sensor. This is the unprocessed data that are output directly from the sensor which are then converted to pressure in dbar.
coordinates :: time lat lon depth
data_product_identifier :: PRESWAT_L0
long_name :: Seawater Pressure Measurement
precision :: 0
units :: counts





  
      Array  Chunk 
  
  
     Bytes  1.62 GB   15.49 MB 
     Shape  (202228190,)   (1936658,) 
     Count  106 Tasks  105 Chunks 
     Type  float64  numpy.ndarray

pressure_temp

(time)

float64

dask.array<chunksize=(1936658,), meta=np.ndarray>

comment :: Seawater Pressure refers to the pressure exerted on a sensor in situ by the weight of the column of seawater above it. It is calculated by subtracting one standard atmosphere from the absolute pressure at the sensor to remove the weight of the atmosphere on top of the water column. The pressure at a sensor in situ provides a metric of the depth of that sensor. This is the unprocessed data that are output directly from the sensor which are then converted to pressure in dbar.
coordinates :: time lat lon depth
long_name :: Seawater Pressure Measurement
precision :: 0
units :: counts





  
      Array  Chunk 
  
  
     Bytes  1.62 GB   15.49 MB 
     Shape  (202228190,)   (1936658,) 
     Count  106 Tasks  105 Chunks 
     Type  float64  numpy.ndarray

seawater_temperature

(time)

float64

dask.array<chunksize=(1936658,), meta=np.ndarray>

ancillary_variables :: seawater_temperature_qartod_results seawater_temperature_qartod_executed temperature
comment :: Seawater temperature near the sensor.
coordinates :: time lat lon depth
data_product_identifier :: TEMPWAT_L1
long_name :: Seawater Temperature
precision :: 4
standard_name :: sea_water_temperature
units :: degree_C





  
      Array  Chunk 
  
  
     Bytes  1.62 GB   15.49 MB 
     Shape  (202228190,)   (1936658,) 
     Count  106 Tasks  105 Chunks 
     Type  float64  numpy.ndarray

seawater_temperature_qartod_results

(time)

uint8

dask.array<chunksize=(1936658,), meta=np.ndarray>

comment :: Summary QARTOD test flags. For each datum, the flag is set to the most significant result of all QARTOD tests run for that datum.
coordinates :: time lat lon depth
flag_meanings :: pass not_evaluated suspect_or_of_high_interest fail missing_data
flag_values :: 1,2,3,4,9
long_name :: Seawater Temperature QARTOD Summary Flag
references :: https://ioos.noaa.gov/project/qartod https://github.com/ioos/ioos_qc
standard_name :: sea_water_temperature status_flag





  
      Array  Chunk 
  
  
     Bytes  202.23 MB   1.94 MB 
     Shape  (202228190,)   (1936658,) 
     Count  106 Tasks  105 Chunks 
     Type  uint8  numpy.ndarray

seawater_temperature_qc_executed

(time)

uint8

dask.array<chunksize=(1936658,), meta=np.ndarray>

coordinates :: time lat lon depth
long_name :: QC Checks Executed





  
      Array  Chunk 
  
  
     Bytes  202.23 MB   1.94 MB 
     Shape  (202228190,)   (1936658,) 
     Count  106 Tasks  105 Chunks 
     Type  uint8  numpy.ndarray

seawater_temperature_qc_results

(time)

uint8

dask.array<chunksize=(1936658,), meta=np.ndarray>

coordinates :: time lat lon depth
long_name :: QC Checks Results





  
      Array  Chunk 
  
  
     Bytes  202.23 MB   1.94 MB 
     Shape  (202228190,)   (1936658,) 
     Count  106 Tasks  105 Chunks 
     Type  uint8  numpy.ndarray

temperature

(time)

float64

dask.array<chunksize=(1936658,), meta=np.ndarray>

comment :: Seawater temperature unprocessed measurement near the sensor.
coordinates :: time lat lon depth
data_product_identifier :: TEMPWAT_L0
long_name :: Seawater Temperature Measurement
precision :: 0
units :: counts





  
      Array  Chunk 
  
  
     Bytes  1.62 GB   15.49 MB 
     Shape  (202228190,)   (1936658,) 
     Count  106 Tasks  105 Chunks 
     Type  float64  numpy.ndarray

Attributes: (53)
Conventions :
CF-1.6
Metadata_Conventions :
Unidata Dataset Discovery v1.0
Notes :
This netCDF product is a copy of the data on the University of Washington AWS Cloud Infrastructure.
Owner :
University of Washington Cabled Array Value Add Team.
cdm_data_type :
Point
collection_method :
streamed
comment :
Some of the metadata of this dataset has been modified to be CF-1.6 compliant.
creator_name :
Ocean Observatories Initiative
creator_url :
http://oceanobservatories.org/
date_created :
2020-10-17T15:47:13.403585
date_downloaded :
2020-10-25T21:50:35.365159
date_modified :
2020-10-17T15:47:13.403588
date_processed :
2020-10-25T21:50:55.491252
featureType :
point
geospatial_lat_max :
44.637
geospatial_lat_min :
44.637
geospatial_lat_resolution :
0.1
geospatial_lat_units :
degrees_north
geospatial_lon_max :
-124.30587
geospatial_lon_min :
-124.30587
geospatial_lon_resolution :
0.1
geospatial_lon_units :
degrees_east
geospatial_vertical_positive :
down
geospatial_vertical_resolution :
0.1
geospatial_vertical_units :
meters
history :
2020-10-17T15:47:13.403544 generated from Stream Engine
id :
CE02SHBP-LJ01D-06-CTDBPN106-streamed-ctdbp_no_sample
infoUrl :
http://oceanobservatories.org/
institution :
Ocean Observatories Initiative
keywords :
keywords_vocabulary :
lat :
44.637
license :
lon :
-124.30587
naming_authority :
org.oceanobservatories
nodc_template_version :
NODC_NetCDF_TimeSeries_Orthogonal_Template_v1.1
node :
LJ01D
processing_level :
L2
project :
Ocean Observatories Initiative
publisher_email :
publisher_name :
Ocean Observatories Initiative
publisher_url :
http://oceanobservatories.org/
references :
More information can be found at http://oceanobservatories.org/
sensor :
06-CTDBPN106
source :
CE02SHBP-LJ01D-06-CTDBPN106-streamed-ctdbp_no_sample
sourceUrl :
http://oceanobservatories.org/
standard_name_vocabulary :
NetCDF Climate and Forecast (CF) Metadata Convention Standard Name Table 29
stream :
ctdbp_no_sample
subsite :
CE02SHBP
summary :
Dataset Generated by Stream Engine from Ocean Observatories Initiative
time_coverage_end :
2014-10-06T23:59:59.929051
time_coverage_start :
2014-09-25T18:17:58.928831
title :
Data produced by Stream Engine version 1.18.0 for CE02SHBP-LJ01D-06-CTDBPN106-streamed-ctdbp_no_sample