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xarray.Dataset

Dimensions:
- time: 172

Coordinates: (1)

time

(time)

float64

3.643e+09 3.643e+09 ... 3.673e+09

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

array([3.643411e+09, 3.643411e+09, 3.643412e+09, 3.643412e+09, 3.643412e+09,
       3.643412e+09, 3.643412e+09, 3.643412e+09, 3.643412e+09, 3.643412e+09,
       3.643413e+09, 3.643413e+09, 3.643413e+09, 3.643413e+09, 3.643413e+09,
       3.643415e+09, 3.643415e+09, 3.643415e+09, 3.643460e+09, 3.643460e+09,
       3.643461e+09, 3.643471e+09, 3.643471e+09, 3.643472e+09, 3.643478e+09,
       3.643480e+09, 3.643488e+09, 3.643488e+09, 3.643492e+09, 3.643492e+09,
       3.643492e+09, 3.643492e+09, 3.643492e+09, 3.643492e+09, 3.643492e+09,
       3.643492e+09, 3.643492e+09, 3.643492e+09, 3.643492e+09, 3.643492e+09,
       3.643492e+09, 3.643492e+09, 3.643492e+09, 3.643492e+09, 3.643493e+09,
       3.643509e+09, 3.643510e+09, 3.643564e+09, 3.643564e+09, 3.643564e+09,
       3.643564e+09, 3.643564e+09, 3.643564e+09, 3.643564e+09, 3.643564e+09,
       3.643564e+09, 3.643564e+09, 3.643565e+09, 3.643565e+09, 3.643565e+09,
       3.643565e+09, 3.643565e+09, 3.643565e+09, 3.643567e+09, 3.643567e+09,
       3.643567e+09, 3.643567e+09, 3.643567e+09, 3.643567e+09, 3.643567e+09,
       3.643567e+09, 3.643567e+09, 3.643568e+09, 3.643568e+09, 3.643568e+09,
       3.643568e+09, 3.643569e+09, 3.643569e+09, 3.643573e+09, 3.643574e+09,
       3.643574e+09, 3.643628e+09, 3.643628e+09, 3.643629e+09, 3.643639e+09,
       3.643642e+09, 3.643642e+09, 3.643643e+09, 3.643644e+09, 3.643644e+09,
       3.643644e+09, 3.643652e+09, 3.643652e+09, 3.643715e+09, 3.643717e+09,
       3.643717e+09, 3.643733e+09, 3.643984e+09, 3.643984e+09, 3.643984e+09,
       3.644004e+09, 3.644004e+09, 3.644065e+09, 3.644084e+09, 3.644150e+09,
       3.644150e+09, 3.644153e+09, 3.644153e+09, 3.644153e+09, 3.644153e+09,
       3.644153e+09, 3.644153e+09, 3.644153e+09, 3.644153e+09, 3.644153e+09,
       3.644153e+09, 3.644153e+09, 3.644166e+09, 3.644166e+09, 3.644225e+09,
       3.644226e+09, 3.644404e+09, 3.644404e+09, 3.644682e+09, 3.644682e+09,
       3.644682e+09, 3.644682e+09, 3.644682e+09, 3.644682e+09, 3.644682e+09,
       3.644682e+09, 3.644682e+09, 3.644682e+09, 3.644682e+09, 3.644682e+09,
       3.644682e+09, 3.644682e+09, 3.644682e+09, 3.644682e+09, 3.644682e+09,
       3.644682e+09, 3.644685e+09, 3.644685e+09, 3.644685e+09, 3.644685e+09,
       3.644685e+09, 3.644685e+09, 3.644685e+09, 3.644685e+09, 3.644858e+09,
       3.645364e+09, 3.645364e+09, 3.645391e+09, 3.645391e+09, 3.645536e+09,
       3.645536e+09, 3.645889e+09, 3.645889e+09, 3.645892e+09, 3.645892e+09,
       3.645892e+09, 3.645892e+09, 3.646055e+09, 3.646056e+09, 3.646056e+09,
       3.646060e+09, 3.646060e+09, 3.646060e+09, 3.646071e+09, 3.646078e+09,
       3.673016e+09, 3.673016e+09])

Data variables: (10)

battery_voltage_main

(time)

float32

dask.array<chunksize=(172,), meta=np.ndarray>

coordinates :: time lat lon
long_name :: Main Battery Voltage
precision :: 1
units :: V





  
      Array  Chunk 
  
  
     Bytes  688 B   688 B 
     Shape  (172,)   (172,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

bytes_free

(time)

float64

dask.array<chunksize=(172,), meta=np.ndarray>

comment :: Number of additional bytes that can be stored in memory
coordinates :: time lat lon
long_name :: Bytes Free
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  1.38 kB   1.38 kB 
     Shape  (172,)   (172,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

bytes_used

(time)

float64

dask.array<chunksize=(172,), meta=np.ndarray>

comment :: Number of bytes stored in memory
coordinates :: time lat lon
long_name :: Bytes Used
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  1.38 kB   1.38 kB 
     Shape  (172,)   (172,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

deployment

(time)

int32

dask.array<chunksize=(172,), meta=np.ndarray>

long_name :: Deployment Number
name :: deployment





  
      Array  Chunk 
  
  
     Bytes  688 B   688 B 
     Shape  (172,)   (172,) 
     Count  2 Tasks  1 Chunks 
     Type  int32  numpy.ndarray

driver_timestamp

(time)

float64

dask.array<chunksize=(172,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  1.38 kB   1.38 kB 
     Shape  (172,)   (172,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

event_count

(time)

float64

dask.array<chunksize=(172,), meta=np.ndarray>

comment :: Number of logged events
coordinates :: time lat lon
long_name :: Event Count
precision :: 0
units :: count





  
      Array  Chunk 
  
  
     Bytes  1.38 kB   1.38 kB 
     Shape  (172,)   (172,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

ingestion_timestamp

(time)

float64

dask.array<chunksize=(172,), 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  1.38 kB   1.38 kB 
     Shape  (172,)   (172,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

internal_timestamp

(time)

float64

dask.array<chunksize=(172,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  1.38 kB   1.38 kB 
     Shape  (172,)   (172,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

port_timestamp

(time)

float64

dask.array<chunksize=(172,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  1.38 kB   1.38 kB 
     Shape  (172,)   (172,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

sample_number

(time)

float64

dask.array<chunksize=(172,), meta=np.ndarray>

coordinates :: time lat lon
long_name :: Sample Number
precision :: 0
units :: count





  
      Array  Chunk 
  
  
     Bytes  1.38 kB   1.38 kB 
     Shape  (172,)   (172,) 
     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 :
2020-08-11T10:18:52.359873
date_downloaded :
2020-09-23T15:03:43.199582
date_modified :
2020-08-11T10:18:52.359878
date_processed :
2020-09-23T15:07:32.388039
featureType :
point
geospatial_lat_max :
44.5097
geospatial_lat_min :
44.5097
geospatial_lat_resolution :
0.1
geospatial_lat_units :
degrees_north
geospatial_lon_max :
-125.40526
geospatial_lon_min :
-125.40526
geospatial_lon_resolution :
0.1
geospatial_lon_units :
degrees_east
geospatial_vertical_positive :
down
geospatial_vertical_resolution :
0.1
geospatial_vertical_units :
meters
history :
2020-08-11T10:18:52.359807 generated from Stream Engine
id :
RS01SLBS-MJ01A-06-PRESTA101-streamed-prest_device_status
infoUrl :
http://oceanobservatories.org/
institution :
Ocean Observatories Initiative
keywords :
keywords_vocabulary :
lat :
44.5097
license :
lon :
-125.40526
naming_authority :
org.oceanobservatories
nodc_template_version :
NODC_NetCDF_TimeSeries_Orthogonal_Template_v1.1
node :
MJ01A
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-PRESTA101
source :
RS01SLBS-MJ01A-06-PRESTA101-streamed-prest_device_status
sourceUrl :
http://oceanobservatories.org/
standard_name_vocabulary :
NetCDF Climate and Forecast (CF) Metadata Convention Standard Name Table 29
stream :
prest_device_status
subsite :
RS01SLBS
summary :
Dataset Generated by Stream Engine from Ocean Observatories Initiative
time_coverage_end :
2016-05-23T18:12:12.670024
time_coverage_start :
2015-06-16T02:30:16.448360
title :
Data produced by Stream Engine version 1.15.0 for RS01SLBS-MJ01A-06-PRESTA101-streamed-prest_device_status