Show/Hide data repr

xarray.Dataset

Dimensions:
- time: 145978603
Coordinates: (1)
- time
  (time)
  float64
  3.678e+09 3.678e+09 ... 3.781e+09
  axis :
  T
  calendar :
  gregorian
  long_name :
  time
  standard_name :
  time
  units :
  seconds since 1900-01-01 0:0:0
```
array([3.677904e+09, 3.677904e+09, 3.677904e+09, ..., 3.780780e+09,
       3.780780e+09, 3.780780e+09])
```

Data variables: (22)

checksum

(time)

float64

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

comment :: Checksum
coordinates :: lat pressure lon time
long_name :: Checksum
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  1.17 GB   83.89 MB 
     Shape  (145978603,)   (10485760,) 
     Count  15 Tasks  14 Chunks 
     Type  float64  numpy.ndarray

deployment

(time)

int32

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

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





  
      Array  Chunk 
  
  
     Bytes  583.91 MB   41.94 MB 
     Shape  (145978603,)   (10485760,) 
     Count  15 Tasks  14 Chunks 
     Type  int32  numpy.ndarray

driver_timestamp

(time)

float64

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

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





  
      Array  Chunk 
  
  
     Bytes  1.17 GB   83.89 MB 
     Shape  (145978603,)   (10485760,) 
     Count  15 Tasks  14 Chunks 
     Type  float64  numpy.ndarray

elapsed_time

(time)

float64

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

coordinates :: lat pressure lon time
long_name :: Time Since Reset
units :: s





  
      Array  Chunk 
  
  
     Bytes  1.17 GB   83.89 MB 
     Shape  (145978603,)   (10485760,) 
     Count  15 Tasks  14 Chunks 
     Type  float64  numpy.ndarray

ingestion_timestamp

(time)

float64

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

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





  
      Array  Chunk 
  
  
     Bytes  1.17 GB   83.89 MB 
     Shape  (145978603,)   (10485760,) 
     Count  15 Tasks  14 Chunks 
     Type  float64  numpy.ndarray

input_voltage

(time)

float32

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

comment :: Instrument input voltage.
coordinates :: lat pressure lon time
long_name :: Instrument Input Voltage
precision :: 9
units :: volts





  
      Array  Chunk 
  
  
     Bytes  583.91 MB   41.94 MB 
     Shape  (145978603,)   (10485760,) 
     Count  15 Tasks  14 Chunks 
     Type  float32  numpy.ndarray

internal_timestamp

(time)

float64

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

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





  
      Array  Chunk 
  
  
     Bytes  1.17 GB   83.89 MB 
     Shape  (145978603,)   (10485760,) 
     Count  15 Tasks  14 Chunks 
     Type  float64  numpy.ndarray

par

(time)

float64

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

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





  
      Array  Chunk 
  
  
     Bytes  1.17 GB   83.89 MB 
     Shape  (145978603,)   (10485760,) 
     Count  15 Tasks  14 Chunks 
     Type  float64  numpy.ndarray

par_counts_output

(time)

float64

dask.array<chunksize=(10485760,), 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 pressure 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  1.17 GB   83.89 MB 
     Shape  (145978603,)   (10485760,) 
     Count  15 Tasks  14 Chunks 
     Type  float64  numpy.ndarray

par_counts_output_qc_executed

(time)

uint8

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

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





  
      Array  Chunk 
  
  
     Bytes  145.98 MB   10.49 MB 
     Shape  (145978603,)   (10485760,) 
     Count  15 Tasks  14 Chunks 
     Type  uint8  numpy.ndarray

par_counts_output_qc_results

(time)

uint8

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

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





  
      Array  Chunk 
  
  
     Bytes  145.98 MB   10.49 MB 
     Shape  (145978603,)   (10485760,) 
     Count  15 Tasks  14 Chunks 
     Type  uint8  numpy.ndarray

par_measured

(time)

float32

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

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 pressure lon time
data_product_identifier :: OPTPARW_L1
long_name :: Measured Photosynthetically Active Radiation
precision :: 4
standard_name :: downwelling_photosynthetic_photon_flux_in_sea_water
units :: µmol photons m-2 s-1





  
      Array  Chunk 
  
  
     Bytes  583.91 MB   41.94 MB 
     Shape  (145978603,)   (10485760,) 
     Count  15 Tasks  14 Chunks 
     Type  float32  numpy.ndarray

pitch

(time)

float32

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

comment :: The rotated angle about the pitch-axis relative to the horizontal plane. Rotation follows the right hand rule designation; i.e. with the r.h. thumb pointing in the rotation axis direction, positive rotation is in the direction of the curled fingers.
coordinates :: lat pressure lon time
long_name :: Instrument Pitch
precision :: 1
standard_name :: platform_pitch_angle
units :: degrees





  
      Array  Chunk 
  
  
     Bytes  583.91 MB   41.94 MB 
     Shape  (145978603,)   (10485760,) 
     Count  15 Tasks  14 Chunks 
     Type  float32  numpy.ndarray

port_timestamp

(time)

float64

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

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





  
      Array  Chunk 
  
  
     Bytes  1.17 GB   83.89 MB 
     Shape  (145978603,)   (10485760,) 
     Count  15 Tasks  14 Chunks 
     Type  float64  numpy.ndarray

raw_internal_temp

(time)

float32

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

comment :: Raw internal instrument thermistor signal output.
coordinates :: lat pressure lon time
long_name :: Raw Internal Temperature
units :: counts





  
      Array  Chunk 
  
  
     Bytes  583.91 MB   41.94 MB 
     Shape  (145978603,)   (10485760,) 
     Count  15 Tasks  14 Chunks 
     Type  float32  numpy.ndarray

roll

(time)

float32

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

comment :: The rotated angle about the roll-axis relative to the horizontal plane. Rotation follows the right hand rule designation; i.e. with the r.h. thumb pointing in the rotation axis direction, positive rotation is in the direction of the curled fingers.
coordinates :: lat pressure lon time
long_name :: Instrument Roll
precision :: 1
standard_name :: platform_roll_angle
units :: degrees





  
      Array  Chunk 
  
  
     Bytes  583.91 MB   41.94 MB 
     Shape  (145978603,)   (10485760,) 
     Count  15 Tasks  14 Chunks 
     Type  float32  numpy.ndarray

temp_interior

(time)

float32

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

comment :: Interior Temperature
coordinates :: lat pressure lon time
long_name :: Interior Temperature
precision :: 4
units :: degree_C





  
      Array  Chunk 
  
  
     Bytes  583.91 MB   41.94 MB 
     Shape  (145978603,)   (10485760,) 
     Count  15 Tasks  14 Chunks 
     Type  float32  numpy.ndarray

temperature_volts

(time)

float32

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

comment :: Raw analog voltage of instrument internal temperature sensor.
coordinates :: lat pressure lon time
long_name :: Internal Temperature Raw Voltage
precision :: 5
units :: volts





  
      Array  Chunk 
  
  
     Bytes  583.91 MB   41.94 MB 
     Shape  (145978603,)   (10485760,) 
     Count  15 Tasks  14 Chunks 
     Type  float32  numpy.ndarray

voltage_out

(time)

float32

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

comment :: Instrument output voltage.
coordinates :: lat pressure lon time
long_name :: Instrument Output Voltage
precision :: 7
units :: volts





  
      Array  Chunk 
  
  
     Bytes  583.91 MB   41.94 MB 
     Shape  (145978603,)   (10485760,) 
     Count  15 Tasks  14 Chunks 
     Type  float32  numpy.ndarray

x_accel_counts

(time)

float64

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

comment :: X-Axis Accelerometer Counts
coordinates :: lat pressure lon time
long_name :: X-Axis Acceleration Counts
precision :: 0
units :: counts





  
      Array  Chunk 
  
  
     Bytes  1.17 GB   83.89 MB 
     Shape  (145978603,)   (10485760,) 
     Count  15 Tasks  14 Chunks 
     Type  float64  numpy.ndarray

y_accel_counts

(time)

float64

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

comment :: Y-Axis Accelerometer Counts
coordinates :: lat pressure lon time
long_name :: Y-Axis Acceleration Counts
precision :: 0
units :: counts





  
      Array  Chunk 
  
  
     Bytes  1.17 GB   83.89 MB 
     Shape  (145978603,)   (10485760,) 
     Count  15 Tasks  14 Chunks 
     Type  float64  numpy.ndarray

z_accel_counts

(time)

float64

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

comment :: Z-Axis Accelerometer Counts
coordinates :: lat pressure lon time
long_name :: Z-Axis Acceleratiton Counts
precision :: 0
units :: counts





  
      Array  Chunk 
  
  
     Bytes  1.17 GB   83.89 MB 
     Shape  (145978603,)   (10485760,) 
     Count  15 Tasks  14 Chunks 
     Type  float64  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 :
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 :
2020-08-11T03:59:19.250652
date_downloaded :
2020-10-08T23:35:58.450625
date_modified :
2020-08-11T03:59:19.250660
date_processed :
2020-10-08T23:38:31.250024
featureType :
point
geospatial_lat_max :
44.37415
geospatial_lat_min :
44.37415
geospatial_lat_resolution :
0.1
geospatial_lat_units :
degrees_north
geospatial_lon_max :
-124.95648
geospatial_lon_min :
-124.95648
geospatial_lon_resolution :
0.1
geospatial_lon_units :
degrees_east
geospatial_vertical_positive :
down
geospatial_vertical_resolution :
0.1
geospatial_vertical_units :
meters
history :
2020-08-11T03:59:19.250556 generated from Stream Engine
id :
CE04OSPS-SF01B-3C-PARADA102-streamed-parad_sa_sample
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 :
SF01B
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 :
3C-PARADA102
source :
CE04OSPS-SF01B-3C-PARADA102-streamed-parad_sa_sample
sourceUrl :
http://oceanobservatories.org/
standard_name_vocabulary :
NetCDF Climate and Forecast (CF) Metadata Convention Standard Name Table 29
stream :
parad_sa_sample
subsite :
CE04OSPS
summary :
Dataset Generated by Stream Engine from Ocean Observatories Initiative
time_coverage_end :
2017-05-30T23:59:54.919441
time_coverage_start :
2016-07-19T08:00:09.040483
title :
Data produced by Stream Engine version 1.15.0 for CE04OSPS-SF01B-3C-PARADA102-streamed-parad_sa_sample