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xarray.Dataset

Dimensions:
- time: 20122255
Coordinates: (1)
- time
  (time)
  float64
  3.637e+09 3.637e+09 ... 3.806e+09
  axis :
  T
  calendar :
  gregorian
  long_name :
  time
  standard_name :
  time
  units :
  seconds since 1900-01-01 0:0:0
```
array([3.637436e+09, 3.637436e+09, 3.637436e+09, ..., 3.806073e+09,
       3.806073e+09, 3.806073e+09])
```

Data variables: (31)

blue_amplitude

(time)

float32

dask.array<chunksize=(10485760,), meta=np.ndarray>

comment :: Amplitude measurement with blue excitation.
coordinates :: time lat lon pressure
long_name :: Blue Light Amplitude
precision :: 1
units :: mV





  
      Array  Chunk 
  
  
     Bytes  80.49 MB   41.94 MB 
     Shape  (20122255,)   (10485760,) 
     Count  3 Tasks  2 Chunks 
     Type  float32  numpy.ndarray

blue_phase

(time)

float32

dask.array<chunksize=(10485760,), meta=np.ndarray>

comment :: Phase measurement with blue excitation.
coordinates :: time lat lon pressure
long_name :: Blue Light Phase
precision :: 3
units :: degrees





  
      Array  Chunk 
  
  
     Bytes  80.49 MB   41.94 MB 
     Shape  (20122255,)   (10485760,) 
     Count  3 Tasks  2 Chunks 
     Type  float32  numpy.ndarray

calibrated_phase

(time)

float32

dask.array<chunksize=(10485760,), meta=np.ndarray>

comment :: Calibrated phase difference, used to calculate temperature compensated oxygen concentration.
coordinates :: time lat lon pressure
data_product_identifier :: DOCONCS-DEG_L0
long_name :: Calibrated Phase Difference
precision :: 3
units :: degrees





  
      Array  Chunk 
  
  
     Bytes  80.49 MB   41.94 MB 
     Shape  (20122255,)   (10485760,) 
     Count  3 Tasks  2 Chunks 
     Type  float32  numpy.ndarray

deployment

(time)

int32

dask.array<chunksize=(10485760,), meta=np.ndarray>

long_name :: Deployment Number
name :: deployment





  
      Array  Chunk 
  
  
     Bytes  80.49 MB   41.94 MB 
     Shape  (20122255,)   (10485760,) 
     Count  3 Tasks  2 Chunks 
     Type  int32  numpy.ndarray

dissolved_oxygen

(time)

float64

dask.array<chunksize=(10485760,), meta=np.ndarray>

ancillary_variables :: estimated_oxygen_concentration practical_salinity pressure temp
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 pressure
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  160.98 MB   83.89 MB 
     Shape  (20122255,)   (10485760,) 
     Count  3 Tasks  2 Chunks 
     Type  float64  numpy.ndarray

dissolved_oxygen_qc_executed

(time)

uint8

dask.array<chunksize=(10485760,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  20.12 MB   10.49 MB 
     Shape  (20122255,)   (10485760,) 
     Count  3 Tasks  2 Chunks 
     Type  uint8  numpy.ndarray

dissolved_oxygen_qc_results

(time)

uint8

dask.array<chunksize=(10485760,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  20.12 MB   10.49 MB 
     Shape  (20122255,)   (10485760,) 
     Count  3 Tasks  2 Chunks 
     Type  uint8  numpy.ndarray

dosta_abcdjm_cspp_tc_oxygen

(time)

float64

dask.array<chunksize=(10485760,), meta=np.ndarray>

ancillary_variables :: calibrated_phase optode_temperature
comment :: Dissolved Oxygen (DO) Concentration from the Stable Response Dissolved Oxygen Instrument is a measure of the concentration of gaseous oxygen mixed in seawater. This instrument measures dissolved oxygen concentrations on mobile assets, deep profilers, and moorings.This data product is corrected for temperature measured by the DO instrument.
coordinates :: time lat lon pressure
data_product_identifier :: DOCONCS_L1
long_name :: DO - Temp Corrected
units :: µmol L-1





  
      Array  Chunk 
  
  
     Bytes  160.98 MB   83.89 MB 
     Shape  (20122255,)   (10485760,) 
     Count  3 Tasks  2 Chunks 
     Type  float64  numpy.ndarray

dosta_abcdjm_cspp_tc_oxygen_qc_executed

(time)

uint8

dask.array<chunksize=(10485760,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  20.12 MB   10.49 MB 
     Shape  (20122255,)   (10485760,) 
     Count  3 Tasks  2 Chunks 
     Type  uint8  numpy.ndarray

dosta_abcdjm_cspp_tc_oxygen_qc_results

(time)

uint8

dask.array<chunksize=(10485760,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  20.12 MB   10.49 MB 
     Shape  (20122255,)   (10485760,) 
     Count  3 Tasks  2 Chunks 
     Type  uint8  numpy.ndarray

driver_timestamp

(time)

float64

dask.array<chunksize=(10485760,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  160.98 MB   83.89 MB 
     Shape  (20122255,)   (10485760,) 
     Count  3 Tasks  2 Chunks 
     Type  float64  numpy.ndarray

estimated_oxygen_concentration

(time)

float32

dask.array<chunksize=(10485760,), meta=np.ndarray>

comment :: Dissolved Oxygen (DO) Concentration from the Stable Response Dissolved Oxygen Instrument is a measure of the concentration of gaseous oxygen mixed in seawater. This instrument measures dissolved oxygen concentrations on mobile assets, deep profilers, and moorings. This data product is corrected for temperature from a collocated CTD.
coordinates :: time lat lon pressure
data_product_identifier :: DOCONCS_L1
long_name :: DO
precision :: 3
units :: µmol L-1





  
      Array  Chunk 
  
  
     Bytes  80.49 MB   41.94 MB 
     Shape  (20122255,)   (10485760,) 
     Count  3 Tasks  2 Chunks 
     Type  float32  numpy.ndarray

estimated_oxygen_concentration_qc_executed

(time)

uint8

dask.array<chunksize=(10485760,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  20.12 MB   10.49 MB 
     Shape  (20122255,)   (10485760,) 
     Count  3 Tasks  2 Chunks 
     Type  uint8  numpy.ndarray

estimated_oxygen_concentration_qc_results

(time)

uint8

dask.array<chunksize=(10485760,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  20.12 MB   10.49 MB 
     Shape  (20122255,)   (10485760,) 
     Count  3 Tasks  2 Chunks 
     Type  uint8  numpy.ndarray

estimated_oxygen_saturation

(time)

float32

dask.array<chunksize=(10485760,), meta=np.ndarray>

comment :: Oxygen saturation is the percentage of dissolved oxygen relative to the absolute solubility of oxygen at a particular water temperature.
coordinates :: time lat lon pressure
long_name :: Dissolved Oxygen Saturation
precision :: 3
units :: percent





  
      Array  Chunk 
  
  
     Bytes  80.49 MB   41.94 MB 
     Shape  (20122255,)   (10485760,) 
     Count  3 Tasks  2 Chunks 
     Type  float32  numpy.ndarray

estimated_oxygen_saturation_qc_executed

(time)

uint8

dask.array<chunksize=(10485760,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  20.12 MB   10.49 MB 
     Shape  (20122255,)   (10485760,) 
     Count  3 Tasks  2 Chunks 
     Type  uint8  numpy.ndarray

estimated_oxygen_saturation_qc_results

(time)

uint8

dask.array<chunksize=(10485760,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  20.12 MB   10.49 MB 
     Shape  (20122255,)   (10485760,) 
     Count  3 Tasks  2 Chunks 
     Type  uint8  numpy.ndarray

ingestion_timestamp

(time)

float64

dask.array<chunksize=(10485760,), 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  160.98 MB   83.89 MB 
     Shape  (20122255,)   (10485760,) 
     Count  3 Tasks  2 Chunks 
     Type  float64  numpy.ndarray

internal_timestamp

(time)

float64

dask.array<chunksize=(10485760,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  160.98 MB   83.89 MB 
     Shape  (20122255,)   (10485760,) 
     Count  3 Tasks  2 Chunks 
     Type  float64  numpy.ndarray

optode_temperature

(time)

float32

dask.array<chunksize=(10485760,), meta=np.ndarray>

comment :: Oxygen sensor ambient temperature
coordinates :: time lat lon pressure
long_name :: Optode Temperature
precision :: 3
units :: degree_C





  
      Array  Chunk 
  
  
     Bytes  80.49 MB   41.94 MB 
     Shape  (20122255,)   (10485760,) 
     Count  3 Tasks  2 Chunks 
     Type  float32  numpy.ndarray

optode_temperature_qc_executed

(time)

uint8

dask.array<chunksize=(10485760,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  20.12 MB   10.49 MB 
     Shape  (20122255,)   (10485760,) 
     Count  3 Tasks  2 Chunks 
     Type  uint8  numpy.ndarray

optode_temperature_qc_results

(time)

uint8

dask.array<chunksize=(10485760,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  20.12 MB   10.49 MB 
     Shape  (20122255,)   (10485760,) 
     Count  3 Tasks  2 Chunks 
     Type  uint8  numpy.ndarray

port_timestamp

(time)

float64

dask.array<chunksize=(10485760,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  160.98 MB   83.89 MB 
     Shape  (20122255,)   (10485760,) 
     Count  3 Tasks  2 Chunks 
     Type  float64  numpy.ndarray

practical_salinity

(time)

float64

dask.array<chunksize=(10485760,), meta=np.ndarray>

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 pressure
data_product_identifier :: PRACSAL_L2
instrument :: CE04OSSM-RID27-03-CTDBPC000
long_name :: Practical Salinity
precision :: 4
standard_name :: sea_water_practical_salinity
stream :: ctdbp_cdef_dcl_instrument
units :: 1





  
      Array  Chunk 
  
  
     Bytes  160.98 MB   83.89 MB 
     Shape  (20122255,)   (10485760,) 
     Count  3 Tasks  2 Chunks 
     Type  float64  numpy.ndarray

pressure

(time)

float64

dask.array<chunksize=(10485760,), meta=np.ndarray>

axis :: Z
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.
data_product_identifier :: PRESWAT_L1
long_name :: Seawater Pressure
precision :: 3
standard_name :: sea_water_pressure
units :: dbar





  
      Array  Chunk 
  
  
     Bytes  160.98 MB   83.89 MB 
     Shape  (20122255,)   (10485760,) 
     Count  3 Tasks  2 Chunks 
     Type  float64  numpy.ndarray

product_number

(time)

float32

dask.array<chunksize=(10485760,), meta=np.ndarray>

comment :: Aanderaa product/model number.
coordinates :: time lat lon pressure
long_name :: Product Number
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  80.49 MB   41.94 MB 
     Shape  (20122255,)   (10485760,) 
     Count  3 Tasks  2 Chunks 
     Type  float32  numpy.ndarray

raw_temperature

(time)

float32

dask.array<chunksize=(10485760,), meta=np.ndarray>

comment :: Raw temperature, voltage from thermistor.
coordinates :: time lat lon pressure
long_name :: Thermistor Voltage
precision :: 1
units :: mV





  
      Array  Chunk 
  
  
     Bytes  80.49 MB   41.94 MB 
     Shape  (20122255,)   (10485760,) 
     Count  3 Tasks  2 Chunks 
     Type  float32  numpy.ndarray

red_amplitude

(time)

float32

dask.array<chunksize=(10485760,), meta=np.ndarray>

comment :: Amplitude measurement with red excitation.
coordinates :: time lat lon pressure
long_name :: Red Light Amplitude
precision :: 1
units :: mV





  
      Array  Chunk 
  
  
     Bytes  80.49 MB   41.94 MB 
     Shape  (20122255,)   (10485760,) 
     Count  3 Tasks  2 Chunks 
     Type  float32  numpy.ndarray

red_phase

(time)

float32

dask.array<chunksize=(10485760,), meta=np.ndarray>

comment :: Phase measurement with red excitation.
coordinates :: time lat lon pressure
long_name :: Red Light Phase
precision :: 3
units :: degrees





  
      Array  Chunk 
  
  
     Bytes  80.49 MB   41.94 MB 
     Shape  (20122255,)   (10485760,) 
     Count  3 Tasks  2 Chunks 
     Type  float32  numpy.ndarray

temp

(time)

float64

dask.array<chunksize=(10485760,), meta=np.ndarray>

comment :: Seawater temperature near the sensor.
coordinates :: time lat lon pressure
data_product_identifier :: TEMPWAT_L1
instrument :: CE04OSSM-RID27-03-CTDBPC000
long_name :: Seawater Temperature
precision :: 4
standard_name :: sea_water_temperature
stream :: ctdbp_cdef_dcl_instrument
units :: degree_C





  
      Array  Chunk 
  
  
     Bytes  160.98 MB   83.89 MB 
     Shape  (20122255,)   (10485760,) 
     Count  3 Tasks  2 Chunks 
     Type  float64  numpy.ndarray

temp_compensated_phase

(time)

float32

dask.array<chunksize=(10485760,), meta=np.ndarray>

comment :: Temerature compensated phase.
coordinates :: time lat lon pressure
long_name :: Temperature Compensated Phase
precision :: 3
units :: degrees





  
      Array  Chunk 
  
  
     Bytes  80.49 MB   41.94 MB 
     Shape  (20122255,)   (10485760,) 
     Count  3 Tasks  2 Chunks 
     Type  float32  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 :
telemetered
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 :
2020-08-11T03:54:05.200587
date_downloaded :
2020-10-09T05:12:02.304348
date_modified :
2020-08-11T03:54:05.200594
date_processed :
2020-10-09T05:12:47.097264
featureType :
point
geospatial_lat_max :
44.3667
geospatial_lat_min :
44.3667
geospatial_lat_resolution :
0.1
geospatial_lat_units :
degrees_north
geospatial_lon_max :
-124.94452
geospatial_lon_min :
-124.94452
geospatial_lon_resolution :
0.1
geospatial_lon_units :
degrees_east
geospatial_vertical_positive :
down
geospatial_vertical_resolution :
0.1
geospatial_vertical_units :
meters
history :
2020-08-11T03:54:05.200485 generated from Stream Engine
id :
CE04OSSM-RID27-04-DOSTAD000-telemetered-dosta_abcdjm_dcl_instrument
infoUrl :
http://oceanobservatories.org/
institution :
Ocean Observatories Initiative
keywords :
keywords_vocabulary :
lat :
44.3667
license :
lon :
-124.94452
naming_authority :
org.oceanobservatories
nodc_template_version :
NODC_NetCDF_TimeSeries_Orthogonal_Template_v1.1
node :
RID27
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 :
04-DOSTAD000
source :
CE04OSSM-RID27-04-DOSTAD000-telemetered-dosta_abcdjm_dcl_instrument
sourceUrl :
http://oceanobservatories.org/
standard_name_vocabulary :
NetCDF Climate and Forecast (CF) Metadata Convention Standard Name Table 29
stream :
dosta_abcdjm_dcl_instrument
subsite :
CE04OSSM
summary :
Dataset Generated by Stream Engine from Ocean Observatories Initiative
time_coverage_end :
2016-04-03T23:48:32.495000
time_coverage_start :
2015-04-07T23:00:14.073000
title :
Data produced by Stream Engine version 1.15.0 for CE04OSSM-RID27-04-DOSTAD000-telemetered-dosta_abcdjm_dcl_instrument