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xarray.Dataset

Dimensions:
- time: 26718
Coordinates: (1)
- time
  (time)
  float64
  3.636e+09 3.636e+09 ... 3.638e+09
  axis :
  T
  calendar :
  gregorian
  long_name :
  time
  standard_name :
  time
  units :
  seconds since 1900-01-01 0:0:0
```
array([3.635699e+09, 3.635699e+09, 3.635699e+09, ..., 3.638110e+09,
       3.638110e+09, 3.638196e+09])
```

Data variables: (10)

deployment

(time)

int32

dask.array<chunksize=(26718,), meta=np.ndarray>

coordinates :: lat depth lon time
long_name :: Deployment Number
name :: deployment





  
      Array  Chunk 
  
  
     Bytes  106.87 kB   106.87 kB 
     Shape  (26718,)   (26718,) 
     Count  2 Tasks  1 Chunks 
     Type  int32  numpy.ndarray

driver_timestamp

(time)

float64

dask.array<chunksize=(26718,), meta=np.ndarray>

comment :: Driver timestamp, UTC
coordinates :: lat depth lon time
long_name :: Driver Timestamp, UTC
units :: seconds since 1900-01-01





  
      Array  Chunk 
  
  
     Bytes  213.74 kB   213.74 kB 
     Shape  (26718,)   (26718,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

ingestion_timestamp

(time)

float64

dask.array<chunksize=(26718,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  213.74 kB   213.74 kB 
     Shape  (26718,)   (26718,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

internal_timestamp

(time)

float64

dask.array<chunksize=(26718,), meta=np.ndarray>

comment :: Internal timestamp, UTC
coordinates :: lat depth lon time
long_name :: Internal Timestamp, UTC
units :: seconds since 1900-01-01





  
      Array  Chunk 
  
  
     Bytes  213.74 kB   213.74 kB 
     Shape  (26718,)   (26718,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

par

(time)

float64

dask.array<chunksize=(26718,), meta=np.ndarray>

comment :: Photosynthetically Active Radiation (PAR) unprocessed sensor reading.
coordinates :: lat depth lon time
data_product_identifier :: OPTPARW_L0
long_name :: PAR Measurement
precision :: 0
units :: counts





  
      Array  Chunk 
  
  
     Bytes  213.74 kB   213.74 kB 
     Shape  (26718,)   (26718,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

parad_j_par_counts_output

(time)

float64

dask.array<chunksize=(26718,), meta=np.ndarray>

ancillary_variables :: par
comment :: Photosynthetically Active Radiation (PAR) is the measure of the density of photons per unit area that are in the spectral range of light (400-700 nanometers) that primary producers use for photosynthesis.
coordinates :: lat depth lon time
data_product_identifier :: OPTPARW_L1
long_name :: Photosynthetically Active Radiation
precision :: 4
standard_name :: downwelling_photosynthetic_photon_flux_in_sea_water
units :: µmol photons m-2 s-1





  
      Array  Chunk 
  
  
     Bytes  213.74 kB   213.74 kB 
     Shape  (26718,)   (26718,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

port_timestamp

(time)

float64

dask.array<chunksize=(26718,), meta=np.ndarray>

comment :: Port timestamp, UTC
coordinates :: lat depth lon time
long_name :: Port Timestamp, UTC
units :: seconds since 1900-01-01





  
      Array  Chunk 
  
  
     Bytes  213.74 kB   213.74 kB 
     Shape  (26718,)   (26718,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

pressure

(time)

float32

dask.array<chunksize=(26718,), meta=np.ndarray>

alternate_parameter_name :: pressure_depth
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 reported is the CTD pressure recorded at the time of the sensor reading.
coordinates :: lat depth lon time
long_name :: CTD Seawater Pressure
precision :: 3
standard_name :: sea_water_pressure
units :: dbar





  
      Array  Chunk 
  
  
     Bytes  106.87 kB   106.87 kB 
     Shape  (26718,)   (26718,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

profiler_timestamp

(time)

float64

dask.array<chunksize=(26718,), meta=np.ndarray>

comment :: Timestamp in seconds since January 01, 1970 UTC.
coordinates :: lat depth lon time
long_name :: Surface-Piercing Profiler Timestamp, UTC
precision :: 0
units :: seconds since 1970-01-01





  
      Array  Chunk 
  
  
     Bytes  213.74 kB   213.74 kB 
     Shape  (26718,)   (26718,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

suspect_timestamp

(time)

float32

dask.array<chunksize=(26718,), meta=np.ndarray>

comment :: Flag indicating a potential inaccuracy in the timestamp. No - 0, Yes - 1
coordinates :: lat depth lon time
long_name :: Suspect Timestamp
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  106.87 kB   106.87 kB 
     Shape  (26718,)   (26718,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

Attributes: (51)
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 :
recovered_cspp
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 :
2020-11-24T21:57:46.125812
date_downloaded :
2020-11-24T21:57:33.678343
date_modified :
2020-11-24T21:57:46.125817
date_processed :
2020-11-24T21:57:58.699305
featureType :
point
geospatial_lat_max :
44.63586
geospatial_lat_min :
44.63586
geospatial_lat_resolution :
0.1
geospatial_lat_units :
degrees_north
geospatial_lon_max :
-124.29882
geospatial_lon_min :
-124.29882
geospatial_lon_resolution :
0.1
geospatial_lon_units :
degrees_east
geospatial_vertical_positive :
down
geospatial_vertical_resolution :
0.1
geospatial_vertical_units :
meters
history :
2020-11-24T21:57:46.125747 generated from Stream Engine
id :
CE02SHSP-SP002-09-PARADJ000-recovered_cspp-parad_j_cspp_instrument_recovered
infoUrl :
http://oceanobservatories.org/
institution :
Ocean Observatories Initiative
keywords :
keywords_vocabulary :
license :
naming_authority :
org.oceanobservatories
nodc_template_version :
NODC_NetCDF_TimeSeries_Orthogonal_Template_v1.1
node :
SP002
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 :
09-PARADJ000
source :
CE02SHSP-SP002-09-PARADJ000-recovered_cspp-parad_j_cspp_instrument_recovered
sourceUrl :
http://oceanobservatories.org/
standard_name_vocabulary :
NetCDF Climate and Forecast (CF) Metadata Convention Standard Name Table 29
stream :
parad_j_cspp_instrument_recovered
subsite :
CE02SHSP
summary :
Dataset Generated by Stream Engine from Ocean Observatories Initiative
time_coverage_end :
2015-04-16T18:05:33.678000
time_coverage_start :
2015-03-18T20:28:17.768000
title :
Data produced by Stream Engine version 1.18.0 for CE02SHSP-SP002-09-PARADJ000-recovered_cspp-parad_j_cspp_instrument_recovered