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xarray.Dataset

Dimensions:
- spectrum: 14
- time: 159

Coordinates: (2)

spectrum

(spectrum)

int32

0 1 2 3 4 5 6 7 8 9 10 11 12 13

array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13], dtype=int32)

time

(time)

float64

3.638e+09 3.683e+09 ... 3.814e+09

axis :: T
calendar :: gregorian
long_name :: time
standard_name :: time
units :: seconds since 1900-01-01 0:0:0

array([3.637698e+09, 3.683331e+09, 3.683663e+09, 3.684015e+09, 3.684354e+09,
       3.684901e+09, 3.685153e+09, 3.685409e+09, 3.686154e+09, 3.686417e+09,
       3.686665e+09, 3.687151e+09, 3.687399e+09, 3.687637e+09, 3.687903e+09,
       3.688148e+09, 3.688393e+09, 3.688649e+09, 3.688904e+09, 3.689426e+09,
       3.689664e+09, 3.690423e+09, 3.690679e+09, 3.691172e+09, 3.691431e+09,
       3.691680e+09, 3.691932e+09, 3.692191e+09, 3.692436e+09, 3.692684e+09,
       3.693228e+09, 3.693746e+09, 3.694016e+09, 3.701245e+09, 3.716153e+09,
       3.716257e+09, 3.716361e+09, 3.716466e+09, 3.716570e+09, 3.716675e+09,
       3.716779e+09, 3.716883e+09, 3.716988e+09, 3.717092e+09, 3.717197e+09,
       3.717308e+09, 3.717387e+09, 3.717467e+09, 3.717621e+09, 3.717701e+09,
       3.717780e+09, 3.719108e+09, 3.719263e+09, 3.719342e+09, 3.719421e+09,
       3.719576e+09, 3.719655e+09, 3.719735e+09, 3.719889e+09, 3.719969e+09,
       3.720048e+09, 3.720203e+09, 3.720282e+09, 3.720361e+09, 3.720516e+09,
       3.720595e+09, 3.720753e+09, 3.720833e+09, 3.720912e+09, 3.721067e+09,
       3.731075e+09, 3.731381e+09, 3.731694e+09, 3.732000e+09, 3.732493e+09,
       3.732965e+09, 3.733195e+09, 3.733425e+09, 3.733656e+09, 3.746310e+09,
       3.746349e+09, 3.746576e+09, 3.746807e+09, 3.747037e+09, 3.747473e+09,
       3.748077e+09, 3.748531e+09, 3.748995e+09, 3.749449e+09, 3.749913e+09,
       3.750367e+09, 3.750831e+09, 3.751285e+09, 3.751749e+09, 3.752203e+09,
       3.752667e+09, 3.753121e+09, 3.765138e+09, 3.765444e+09, 3.765616e+09,
       3.765843e+09, 3.766074e+09, 3.766304e+09, 3.766534e+09, 3.766761e+09,
       3.766992e+09, 3.767222e+09, 3.767452e+09, 3.767679e+09, 3.767910e+09,
       3.768140e+09, 3.768370e+09, 3.768597e+09, 3.768828e+09, 3.769058e+09,
       3.769288e+09, 3.769515e+09, 3.769746e+09, 3.769976e+09, 3.770206e+09,
       3.770433e+09, 3.779826e+09, 3.780099e+09, 3.780330e+09, 3.780560e+09,
       3.781017e+09, 3.781248e+09, 3.781478e+09, 3.781709e+09, 3.802970e+09,
       3.803197e+09, 3.803453e+09, 3.803863e+09, 3.804266e+09, 3.804677e+09,
       3.805087e+09, 3.805490e+09, 3.805901e+09, 3.806311e+09, 3.806714e+09,
       3.807125e+09, 3.807535e+09, 3.807938e+09, 3.808355e+09, 3.808759e+09,
       3.809169e+09, 3.809579e+09, 3.809990e+09, 3.810407e+09, 3.810811e+09,
       3.811221e+09, 3.811631e+09, 3.812035e+09, 3.812445e+09, 3.812855e+09,
       3.813259e+09, 3.813669e+09, 3.814079e+09, 3.814483e+09])

Data variables: (17)

absorbance_blank_434

(time)

float32

dask.array<chunksize=(1,), meta=np.ndarray>

ancillary_variables :: blank_light_measurements
comment :: The Optical Absorbance ratio at 434 nm collected during the blank cycle and used to calculate the PCO2WAT data product.
coordinates :: time lat lon
data_product_identifier :: CO2ABS1-BLNK_L0
long_name :: Optical Absorbance Ratio at 434 Nm - Blank
precision :: 4
units :: 1





  
      Array  Chunk 
  
  
     Bytes  636 B   4 B 
     Shape  (159,)   (1,) 
     Count  160 Tasks  159 Chunks 
     Type  float32  numpy.ndarray

absorbance_blank_620

(time)

float32

dask.array<chunksize=(1,), meta=np.ndarray>

ancillary_variables :: blank_light_measurements
comment :: The Optical Absorbance ratio at 620 nm collected during the blank cycle and used to calculate the PCO2WAT data product.
coordinates :: time lat lon
data_product_identifier :: CO2ABS2-BLNK_L0
long_name :: Optical Absorbance Ratio at 620 Nm - Blank
precision :: 4
units :: 1





  
      Array  Chunk 
  
  
     Bytes  636 B   4 B 
     Shape  (159,)   (1,) 
     Count  160 Tasks  159 Chunks 
     Type  float32  numpy.ndarray

blank_light_measurements

(time, spectrum)

float32

dask.array<chunksize=(1, 14), meta=np.ndarray>

comment :: Blank light measurements collected during calibration of the instrument. Measurements are in counts.
coordinates :: time lat lon
long_name :: Blank Light Measurements
precision :: 0
units :: counts





  
      Array  Chunk 
  
  
     Bytes  8.90 kB   56 B 
     Shape  (159, 14)   (1, 14) 
     Count  160 Tasks  159 Chunks 
     Type  float32  numpy.ndarray

deployment

(time)

int32

dask.array<chunksize=(1,), meta=np.ndarray>

long_name :: Deployment Number
name :: deployment





  
      Array  Chunk 
  
  
     Bytes  636 B   4 B 
     Shape  (159,)   (1,) 
     Count  160 Tasks  159 Chunks 
     Type  int32  numpy.ndarray

driver_timestamp

(time)

float64

dask.array<chunksize=(1,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  1.27 kB   8 B 
     Shape  (159,)   (1,) 
     Count  160 Tasks  159 Chunks 
     Type  float64  numpy.ndarray

ingestion_timestamp

(time)

float64

dask.array<chunksize=(1,), 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  1.27 kB   8 B 
     Shape  (159,)   (1,) 
     Count  160 Tasks  159 Chunks 
     Type  float64  numpy.ndarray

internal_timestamp

(time)

float64

dask.array<chunksize=(1,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  1.27 kB   8 B 
     Shape  (159,)   (1,) 
     Count  160 Tasks  159 Chunks 
     Type  float64  numpy.ndarray

passed_checksum

(time)

float32

dask.array<chunksize=(1,), meta=np.ndarray>

comment :: Passed the checksum, False or True.
coordinates :: time lat lon
long_name :: Checksum Result
units :: 1





  
      Array  Chunk 
  
  
     Bytes  636 B   4 B 
     Shape  (159,)   (1,) 
     Count  160 Tasks  159 Chunks 
     Type  float32  numpy.ndarray

pco2w_thermistor_temperature

(time)

float64

dask.array<chunksize=(1,), meta=np.ndarray>

ancillary_variables :: thermistor_raw
comment :: This is the Thermistor Temperature measurement, used to calculate the L1 PCO2WAT Partial Pressure of CO2 in Seawater data product.
coordinates :: time lat lon
data_product_identifier :: CO2THRM_L1
long_name :: Thermistor Temperature
precision :: 4
units :: degree_C





  
      Array  Chunk 
  
  
     Bytes  1.27 kB   8 B 
     Shape  (159,)   (1,) 
     Count  160 Tasks  159 Chunks 
     Type  float64  numpy.ndarray

pco2w_thermistor_temperature_qc_executed

(time)

uint8

dask.array<chunksize=(1,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  159 B   1 B 
     Shape  (159,)   (1,) 
     Count  160 Tasks  159 Chunks 
     Type  uint8  numpy.ndarray

pco2w_thermistor_temperature_qc_results

(time)

uint8

dask.array<chunksize=(1,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  159 B   1 B 
     Shape  (159,)   (1,) 
     Count  160 Tasks  159 Chunks 
     Type  uint8  numpy.ndarray

port_timestamp

(time)

float64

dask.array<chunksize=(1,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  1.27 kB   8 B 
     Shape  (159,)   (1,) 
     Count  160 Tasks  159 Chunks 
     Type  float64  numpy.ndarray

record_time

(time)

float64

dask.array<chunksize=(1,), meta=np.ndarray>

comment :: Time of control record in seconds since January 1, 1904.
coordinates :: time lat lon
long_name :: Record Time, UTC
precision :: 0
units :: seconds since 1904-01-01





  
      Array  Chunk 
  
  
     Bytes  1.27 kB   8 B 
     Shape  (159,)   (1,) 
     Count  160 Tasks  159 Chunks 
     Type  float64  numpy.ndarray

record_type

(time)

float32

dask.array<chunksize=(1,), meta=np.ndarray>

comment :: Record type
coordinates :: time lat lon
long_name :: Record Type
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  636 B   4 B 
     Shape  (159,)   (1,) 
     Count  160 Tasks  159 Chunks 
     Type  float32  numpy.ndarray

thermistor_raw

(time)

float32

dask.array<chunksize=(1,), meta=np.ndarray>

comment :: This is the raw measurement, used to calculate the Thermistor Temperature.
coordinates :: time lat lon
data_product_identifier :: CO2THRM_L0
long_name :: Thermistor Temperature Raw
precision :: 0
units :: counts





  
      Array  Chunk 
  
  
     Bytes  636 B   4 B 
     Shape  (159,)   (1,) 
     Count  160 Tasks  159 Chunks 
     Type  float32  numpy.ndarray

unique_id

(time)

float32

dask.array<chunksize=(1,), meta=np.ndarray>

comment :: A 1 byte hash of the SAMI name and calibration.
coordinates :: time lat lon
long_name :: Instrument Unique ID
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  636 B   4 B 
     Shape  (159,)   (1,) 
     Count  160 Tasks  159 Chunks 
     Type  float32  numpy.ndarray

voltage_battery

(time)

float32

dask.array<chunksize=(1,), meta=np.ndarray>

comment :: Battery voltage in counts.
coordinates :: time lat lon
long_name :: Voltage Battery
precision :: 0
units :: counts





  
      Array  Chunk 
  
  
     Bytes  636 B   4 B 
     Shape  (159,)   (1,) 
     Count  160 Tasks  159 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 :
2020-11-24T17:02:40.955023
date_downloaded :
2020-11-24T16:59:57.275848
date_modified :
2020-11-24T17:02:40.955029
date_processed :
2020-11-24T17:56:35.615154
featureType :
point
geospatial_lat_max :
46.85385
geospatial_lat_min :
46.85385
geospatial_lat_resolution :
0.1
geospatial_lat_units :
degrees_north
geospatial_lon_max :
-124.95838
geospatial_lon_min :
-124.95838
geospatial_lon_resolution :
0.1
geospatial_lon_units :
degrees_east
geospatial_vertical_positive :
down
geospatial_vertical_resolution :
0.1
geospatial_vertical_units :
meters
history :
2020-11-24T17:02:40.954947 generated from Stream Engine
id :
CE09OSSM-MFD35-05-PCO2WB000-telemetered-pco2w_abc_dcl_instrument_blank
infoUrl :
http://oceanobservatories.org/
institution :
Ocean Observatories Initiative
keywords :
keywords_vocabulary :
lat :
46.85385
license :
lon :
-124.95838
naming_authority :
org.oceanobservatories
nodc_template_version :
NODC_NetCDF_TimeSeries_Orthogonal_Template_v1.1
node :
MFD35
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 :
05-PCO2WB000
source :
CE09OSSM-MFD35-05-PCO2WB000-telemetered-pco2w_abc_dcl_instrument_blank
sourceUrl :
http://oceanobservatories.org/
standard_name_vocabulary :
NetCDF Climate and Forecast (CF) Metadata Convention Standard Name Table 29
stream :
pco2w_abc_dcl_instrument_blank
subsite :
CE09OSSM
summary :
Dataset Generated by Stream Engine from Ocean Observatories Initiative
time_coverage_end :
2015-04-10T23:36:20.620000
time_coverage_start :
2015-04-10T23:36:20.620000
title :
Data produced by Stream Engine version 1.18.0 for CE09OSSM-MFD35-05-PCO2WB000-telemetered-pco2w_abc_dcl_instrument_blank