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xarray.Dataset

Dimensions:
- assembly_number_dim_0: 28
- pcb_serial_number_dim_0: 28
- time: 68

Coordinates: (3)

assembly_number_dim_0

(assembly_number_dim_0)

int32

0 1 2 3 0 1 2 3 ... 0 1 2 3 0 1 2 3

array([0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3,
       0, 1, 2, 3], dtype=int32)

pcb_serial_number_dim_0

(pcb_serial_number_dim_0)

int32

0 1 2 3 0 1 2 3 ... 0 1 2 3 0 1 2 3

array([0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3,
       0, 1, 2, 3], dtype=int32)

time

(time)

float64

3.627e+09 3.635e+09 ... 3.77e+09

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

array([3.626636e+09, 3.634657e+09, 3.643740e+09, 3.643740e+09, 3.643980e+09,
       3.643980e+09, 3.643980e+09, 3.643981e+09, 3.643981e+09, 3.643982e+09,
       3.643982e+09, 3.643982e+09, 3.643983e+09, 3.643983e+09, 3.643983e+09,
       3.643983e+09, 3.643984e+09, 3.643984e+09, 3.644004e+09, 3.644004e+09,
       3.644150e+09, 3.644150e+09, 3.644166e+09, 3.644166e+09, 3.644404e+09,
       3.644404e+09, 3.644673e+09, 3.644673e+09, 3.644676e+09, 3.644677e+09,
       3.644677e+09, 3.644677e+09, 3.644677e+09, 3.644677e+09, 3.644679e+09,
       3.644679e+09, 3.644682e+09, 3.644682e+09, 3.644757e+09, 3.644757e+09,
       3.644758e+09, 3.644758e+09, 3.644758e+09, 3.644758e+09, 3.650041e+09,
       3.674435e+09, 3.674843e+09, 3.674843e+09, 3.674843e+09, 3.674844e+09,
       3.675086e+09, 3.675087e+09, 3.676319e+09, 3.676320e+09, 3.676321e+09,
       3.676321e+09, 3.676388e+09, 3.676388e+09, 3.676389e+09, 3.676389e+09,
       3.676389e+09, 3.676389e+09, 3.676390e+09, 3.676390e+09, 3.676394e+09,
       3.676394e+09, 3.676397e+09, 3.769687e+09])

Data variables: (5)

deployment

(time)

int32

dask.array<chunksize=(68,), meta=np.ndarray>

long_name :: Deployment Number
name :: deployment





  
      Array  Chunk 
  
  
     Bytes  272 B   272 B 
     Shape  (68,)   (68,) 
     Count  2 Tasks  1 Chunks 
     Type  int32  numpy.ndarray

driver_timestamp

(time)

float64

dask.array<chunksize=(68,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  544 B   544 B 
     Shape  (68,)   (68,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

ingestion_timestamp

(time)

float64

dask.array<chunksize=(68,), 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  544 B   544 B 
     Shape  (68,)   (68,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

internal_timestamp

(time)

float64

dask.array<chunksize=(68,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  544 B   544 B 
     Shape  (68,)   (68,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

port_timestamp

(time)

float64

dask.array<chunksize=(68,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  544 B   544 B 
     Shape  (68,)   (68,) 
     Count  2 Tasks  1 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 :
2020-08-11T12:25:46.723443
date_downloaded :
2020-09-23T15:26:41.272617
date_modified :
2020-08-11T12:25:46.723448
date_processed :
2020-09-23T15:40:06.926679
featureType :
point
geospatial_lat_max :
45.8305
geospatial_lat_min :
45.8305
geospatial_lat_resolution :
0.1
geospatial_lat_units :
degrees_north
geospatial_lon_max :
-129.75341
geospatial_lon_min :
-129.75341
geospatial_lon_resolution :
0.1
geospatial_lon_units :
degrees_east
geospatial_vertical_positive :
down
geospatial_vertical_resolution :
0.1
geospatial_vertical_units :
meters
history :
2020-08-11T12:25:46.723389 generated from Stream Engine
id :
RS03AXPS-SF03A-2A-CTDPFA302-streamed-ctdpf_sbe43_hardware
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 :
SF03A
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 :
2A-CTDPFA302
source :
RS03AXPS-SF03A-2A-CTDPFA302-streamed-ctdpf_sbe43_hardware
sourceUrl :
http://oceanobservatories.org/
standard_name_vocabulary :
NetCDF Climate and Forecast (CF) Metadata Convention Standard Name Table 29
stream :
ctdpf_sbe43_hardware
subsite :
RS03AXPS
summary :
Dataset Generated by Stream Engine from Ocean Observatories Initiative
time_coverage_end :
2014-12-03T22:52:40.550838
time_coverage_start :
2014-12-03T22:52:40.550838
title :
Data produced by Stream Engine version 1.15.0 for RS03AXPS-SF03A-2A-CTDPFA302-streamed-ctdpf_sbe43_hardware