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xarray.Dataset

Dimensions:
- assembly_number_dim_0: 16
- pcb_serial_number_dim_0: 16
- time: 8
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], 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], dtype=int32)
```
- time
  (time)
  float64
  3.65e+09 3.674e+09 ... 3.77e+09
  axis :
  T
  calendar :
  gregorian
  long_name :
  time
  standard_name :
  time
  units :
  seconds since 1900-01-01 0:0:0
```
array([3.650041e+09, 3.674435e+09, 3.676839e+09, 3.676839e+09, 3.676840e+09,
       3.676841e+09, 3.676841e+09, 3.769685e+09])
```

Data variables: (5)

deployment

(time)

int32

dask.array<chunksize=(8,), meta=np.ndarray>

long_name :: Deployment Number
name :: deployment





  
      Array  Chunk 
  
  
     Bytes  32 B   32 B 
     Shape  (8,)   (8,) 
     Count  2 Tasks  1 Chunks 
     Type  int32  numpy.ndarray

driver_timestamp

(time)

float64

dask.array<chunksize=(8,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  64 B   64 B 
     Shape  (8,)   (8,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

ingestion_timestamp

(time)

float64

dask.array<chunksize=(8,), 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  64 B   64 B 
     Shape  (8,)   (8,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

internal_timestamp

(time)

float64

dask.array<chunksize=(8,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  64 B   64 B 
     Shape  (8,)   (8,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

port_timestamp

(time)

float64

dask.array<chunksize=(8,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  64 B   64 B 
     Shape  (8,)   (8,) 
     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 :
2020-08-11T12:36:59.977587
date_downloaded :
2020-09-23T19:43:02.630901
date_modified :
2020-08-11T12:36:59.977589
date_processed :
2020-09-23T20:11:34.793360
featureType :
point
geospatial_lat_max :
45.83049
geospatial_lat_min :
45.83049
geospatial_lat_resolution :
0.1
geospatial_lat_units :
degrees_north
geospatial_lon_max :
-129.75326
geospatial_lon_min :
-129.75326
geospatial_lon_resolution :
0.1
geospatial_lon_units :
degrees_east
geospatial_vertical_positive :
down
geospatial_vertical_resolution :
0.1
geospatial_vertical_units :
meters
history :
2020-08-11T12:36:59.977540 generated from Stream Engine
id :
RS03AXPS-PC03A-4A-CTDPFA303-streamed-ctdpf_optode_hardware
infoUrl :
http://oceanobservatories.org/
institution :
Ocean Observatories Initiative
keywords :
keywords_vocabulary :
lat :
45.83049
license :
lon :
-129.75326
naming_authority :
org.oceanobservatories
nodc_template_version :
NODC_NetCDF_TimeSeries_Orthogonal_Template_v1.1
node :
PC03A
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 :
4A-CTDPFA303
source :
RS03AXPS-PC03A-4A-CTDPFA303-streamed-ctdpf_optode_hardware
sourceUrl :
http://oceanobservatories.org/
standard_name_vocabulary :
NetCDF Climate and Forecast (CF) Metadata Convention Standard Name Table 29
stream :
ctdpf_optode_hardware
subsite :
RS03AXPS
summary :
Dataset Generated by Stream Engine from Ocean Observatories Initiative
time_coverage_end :
2015-08-31T20:23:03.384824
time_coverage_start :
2015-08-31T20:23:03.384824
title :
Data produced by Stream Engine version 1.15.0 for RS03AXPS-PC03A-4A-CTDPFA303-streamed-ctdpf_optode_hardware