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xarray.Dataset

Dimensions:
- assembly_number_dim_0: 36
- pcb_serial_number_dim_0: 36
- time: 36

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, 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, 0, 1, 2, 3, 0, 1, 2, 3], dtype=int32)

time

(time)

float64

3.624e+09 3.644e+09 ... 3.74e+09

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

array([3.624047e+09, 3.643582e+09, 3.643735e+09, 3.644153e+09, 3.644171e+09,
       3.644404e+09, 3.644672e+09, 3.644677e+09, 3.644677e+09, 3.644686e+09,
       3.644686e+09, 3.644687e+09, 3.644693e+09, 3.644694e+09, 3.644694e+09,
       3.644694e+09, 3.644760e+09, 3.644760e+09, 3.644760e+09, 3.645379e+09,
       3.645379e+09, 3.645536e+09, 3.645536e+09, 3.645889e+09, 3.645889e+09,
       3.646056e+09, 3.646056e+09, 3.646143e+09, 3.646143e+09, 3.649446e+09,
       3.649538e+09, 3.670866e+09, 3.678462e+09, 3.696272e+09, 3.714046e+09,
       3.740239e+09])

Data variables: (5)

deployment

(time)

int32

dask.array<chunksize=(36,), meta=np.ndarray>

long_name :: Deployment Number
name :: deployment





  
      Array  Chunk 
  
  
     Bytes  144 B   144 B 
     Shape  (36,)   (36,) 
     Count  2 Tasks  1 Chunks 
     Type  int32  numpy.ndarray

driver_timestamp

(time)

float64

dask.array<chunksize=(36,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  288 B   288 B 
     Shape  (36,)   (36,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

ingestion_timestamp

(time)

float64

dask.array<chunksize=(36,), 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  288 B   288 B 
     Shape  (36,)   (36,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

internal_timestamp

(time)

float64

dask.array<chunksize=(36,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  288 B   288 B 
     Shape  (36,)   (36,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

port_timestamp

(time)

float64

dask.array<chunksize=(36,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  288 B   288 B 
     Shape  (36,)   (36,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  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 :
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 :
2020-08-11T00:02:04.282089
date_downloaded :
2020-09-22T23:00:19.209340
date_modified :
2020-08-11T00:02:04.282095
date_processed :
2020-09-22T23:04:29.574993
featureType :
point
geospatial_lat_max :
44.637
geospatial_lat_min :
44.637
geospatial_lat_resolution :
0.1
geospatial_lat_units :
degrees_north
geospatial_lon_max :
-124.30587
geospatial_lon_min :
-124.30587
geospatial_lon_resolution :
0.1
geospatial_lon_units :
degrees_east
geospatial_vertical_positive :
down
geospatial_vertical_resolution :
0.1
geospatial_vertical_units :
meters
history :
2020-08-11T00:02:04.282028 generated from Stream Engine
id :
CE02SHBP-LJ01D-06-CTDBPN106-streamed-ctdbp_no_hardware
infoUrl :
http://oceanobservatories.org/
institution :
Ocean Observatories Initiative
keywords :
keywords_vocabulary :
lat :
44.637
license :
lon :
-124.30587
naming_authority :
org.oceanobservatories
nodc_template_version :
NODC_NetCDF_TimeSeries_Orthogonal_Template_v1.1
node :
LJ01D
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 :
06-CTDBPN106
source :
CE02SHBP-LJ01D-06-CTDBPN106-streamed-ctdbp_no_hardware
sourceUrl :
http://oceanobservatories.org/
standard_name_vocabulary :
NetCDF Climate and Forecast (CF) Metadata Convention Standard Name Table 29
stream :
ctdbp_no_hardware
subsite :
CE02SHBP
summary :
Dataset Generated by Stream Engine from Ocean Observatories Initiative
time_coverage_end :
2014-11-03T23:36:37.468483
time_coverage_start :
2014-11-03T23:36:37.468483
title :
Data produced by Stream Engine version 1.15.0 for CE02SHBP-LJ01D-06-CTDBPN106-streamed-ctdbp_no_hardware