Show/Hide data repr

xarray.Dataset

Dimensions:
- time: 6
Coordinates: (1)
- time
  (time)
  float64
  3.674e+09 3.674e+09 ... 3.711e+09
  axis :
  T
  calendar :
  gregorian
  long_name :
  time
  standard_name :
  time
  units :
  seconds since 1900-01-01 0:0:0
```
array([3.674312e+09, 3.674312e+09, 3.674313e+09, 3.674313e+09, 3.711483e+09,
       3.711483e+09])
```

Data variables: (29)

acq_crystal_coeff_fra0

(time)

float32

dask.array<chunksize=(6,), meta=np.ndarray>

comment :: Acquisition crystal frequency A0
coordinates :: time lat lon
long_name :: Acq Crystal Coeff Fra0
precision :: 6
units :: 1





  
      Array  Chunk 
  
  
     Bytes  24 B   24 B 
     Shape  (6,)   (6,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

acq_crystal_coeff_fra1

(time)

float32

dask.array<chunksize=(6,), meta=np.ndarray>

comment :: Acquisition crystal frequency A1
coordinates :: time lat lon
long_name :: Acq Crystal Coeff Fra1
precision :: 6
units :: 1





  
      Array  Chunk 
  
  
     Bytes  24 B   24 B 
     Shape  (6,)   (6,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

acq_crystal_coeff_fra2

(time)

float32

dask.array<chunksize=(6,), meta=np.ndarray>

comment :: Acquisition crystal frequency A2
coordinates :: time lat lon
long_name :: Acq Crystal Coeff Fra2
precision :: 6
units :: 1





  
      Array  Chunk 
  
  
     Bytes  24 B   24 B 
     Shape  (6,)   (6,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

acq_crystal_coeff_fra3

(time)

float32

dask.array<chunksize=(6,), meta=np.ndarray>

comment :: Acquisition crystal frequency A3
coordinates :: time lat lon
long_name :: Acq Crystal Coeff Fra3
precision :: 6
units :: 1





  
      Array  Chunk 
  
  
     Bytes  24 B   24 B 
     Shape  (6,)   (6,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

battery_type

(time)

float32

dask.array<chunksize=(6,), meta=np.ndarray>

comment :: Event type of battery (0 = Lithium, 1 = Alkaline)
coordinates :: time lat lon
long_name :: Battery Type
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  24 B   24 B 
     Shape  (6,)   (6,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

baud_rate

(time)

float64

dask.array<chunksize=(6,), meta=np.ndarray>

comment :: Serial communications baud rate.
coordinates :: time lat lon
long_name :: Baud Rate
precision :: 0
units :: Bd





  
      Array  Chunk 
  
  
     Bytes  48 B   48 B 
     Shape  (6,)   (6,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

deployment

(time)

int32

dask.array<chunksize=(6,), meta=np.ndarray>

long_name :: Deployment Number
name :: deployment





  
      Array  Chunk 
  
  
     Bytes  24 B   24 B 
     Shape  (6,)   (6,) 
     Count  2 Tasks  1 Chunks 
     Type  int32  numpy.ndarray

driver_timestamp

(time)

float64

dask.array<chunksize=(6,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  48 B   48 B 
     Shape  (6,)   (6,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

enable_alerts

(time)

float32

dask.array<chunksize=(6,), meta=np.ndarray>

comment :: Enable output alerts (0 = Do not output alerts, 1 = Output alerts)
coordinates :: time lat lon
long_name :: Enable Alerts
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  24 B   24 B 
     Shape  (6,)   (6,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

ingestion_timestamp

(time)

float64

dask.array<chunksize=(6,), 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  48 B   48 B 
     Shape  (6,)   (6,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

internal_timestamp

(time)

float64

dask.array<chunksize=(6,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  48 B   48 B 
     Shape  (6,)   (6,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

port_timestamp

(time)

float64

dask.array<chunksize=(6,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  48 B   48 B 
     Shape  (6,)   (6,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

press_coeff_pc1

(time)

float32

dask.array<chunksize=(6,), meta=np.ndarray>

coordinates :: time lat lon
long_name :: Pressure Coefficient C1
precision :: 6
units :: 1





  
      Array  Chunk 
  
  
     Bytes  24 B   24 B 
     Shape  (6,)   (6,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

press_coeff_pc2

(time)

float32

dask.array<chunksize=(6,), meta=np.ndarray>

coordinates :: time lat lon
long_name :: Pressure Coefficient C2
precision :: 6
units :: 1





  
      Array  Chunk 
  
  
     Bytes  24 B   24 B 
     Shape  (6,)   (6,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

press_coeff_pc3

(time)

float32

dask.array<chunksize=(6,), meta=np.ndarray>

coordinates :: time lat lon
long_name :: Pressure Coefficient C3
precision :: 6
units :: 1





  
      Array  Chunk 
  
  
     Bytes  24 B   24 B 
     Shape  (6,)   (6,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

press_coeff_pd1

(time)

float32

dask.array<chunksize=(6,), meta=np.ndarray>

coordinates :: time lat lon
long_name :: Pressure Coefficient D1
precision :: 6
units :: 1





  
      Array  Chunk 
  
  
     Bytes  24 B   24 B 
     Shape  (6,)   (6,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

press_coeff_pd2

(time)

float32

dask.array<chunksize=(6,), meta=np.ndarray>

coordinates :: time lat lon
long_name :: Pressure Coefficient D2
precision :: 6
units :: 1





  
      Array  Chunk 
  
  
     Bytes  24 B   24 B 
     Shape  (6,)   (6,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

press_coeff_poffset

(time)

float32

dask.array<chunksize=(6,), meta=np.ndarray>

coordinates :: time lat lon
long_name :: Pressure Coefficient Offset
precision :: 6
units :: psi





  
      Array  Chunk 
  
  
     Bytes  24 B   24 B 
     Shape  (6,)   (6,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

press_coeff_pt1

(time)

float32

dask.array<chunksize=(6,), meta=np.ndarray>

coordinates :: time lat lon
long_name :: Pressure Coefficient T1
precision :: 6
units :: 1





  
      Array  Chunk 
  
  
     Bytes  24 B   24 B 
     Shape  (6,)   (6,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

press_coeff_pt2

(time)

float32

dask.array<chunksize=(6,), meta=np.ndarray>

coordinates :: time lat lon
long_name :: Pressure Coefficient T2
precision :: 6
units :: 1





  
      Array  Chunk 
  
  
     Bytes  24 B   24 B 
     Shape  (6,)   (6,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

press_coeff_pt3

(time)

float32

dask.array<chunksize=(6,), meta=np.ndarray>

coordinates :: time lat lon
long_name :: Pressure Coefficient T3
precision :: 6
units :: 1





  
      Array  Chunk 
  
  
     Bytes  24 B   24 B 
     Shape  (6,)   (6,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

press_coeff_pt4

(time)

float32

dask.array<chunksize=(6,), meta=np.ndarray>

coordinates :: time lat lon
long_name :: Pressure Coefficient T4
precision :: 6
units :: 1





  
      Array  Chunk 
  
  
     Bytes  24 B   24 B 
     Shape  (6,)   (6,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

press_coeff_pu0

(time)

float32

dask.array<chunksize=(6,), meta=np.ndarray>

coordinates :: time lat lon
long_name :: Pressure Coefficient U0
precision :: 6
units :: 1





  
      Array  Chunk 
  
  
     Bytes  24 B   24 B 
     Shape  (6,)   (6,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

press_coeff_py1

(time)

float32

dask.array<chunksize=(6,), meta=np.ndarray>

coordinates :: time lat lon
long_name :: Pressure Coefficient Y1
precision :: 6
units :: 1





  
      Array  Chunk 
  
  
     Bytes  24 B   24 B 
     Shape  (6,)   (6,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

press_coeff_py2

(time)

float32

dask.array<chunksize=(6,), meta=np.ndarray>

coordinates :: time lat lon
long_name :: Pressure Coefficient Y2
precision :: 6
units :: 1





  
      Array  Chunk 
  
  
     Bytes  24 B   24 B 
     Shape  (6,)   (6,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

press_coeff_py3

(time)

float32

dask.array<chunksize=(6,), meta=np.ndarray>

coordinates :: time lat lon
long_name :: Pressure Coefficient Y3
precision :: 6
units :: 1





  
      Array  Chunk 
  
  
     Bytes  24 B   24 B 
     Shape  (6,)   (6,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

pressure_sensor_range

(time)

float32

dask.array<chunksize=(6,), meta=np.ndarray>

comment :: Pressure sensor full scale range
coordinates :: time lat lon
long_name :: Pressure Sensor Range
precision :: 0
units :: psi





  
      Array  Chunk 
  
  
     Bytes  24 B   24 B 
     Shape  (6,)   (6,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

sample_period

(time)

float64

dask.array<chunksize=(6,), meta=np.ndarray>

comment :: Duration of each pressure measurement
coordinates :: time lat lon
long_name :: Sample Period
precision :: 0
units :: s





  
      Array  Chunk 
  
  
     Bytes  48 B   48 B 
     Shape  (6,)   (6,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

upload_type

(time)

float32

dask.array<chunksize=(6,), meta=np.ndarray>

comment :: Determine format of uploaded data (0 = Upload as ASCII text, 1 = Upload as binary data)
coordinates :: time lat lon
long_name :: Upload Type
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  24 B   24 B 
     Shape  (6,)   (6,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  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 :
2020-08-11T10:59:47.023071
date_downloaded :
2020-09-23T15:27:01.867926
date_modified :
2020-08-11T10:59:47.023077
date_processed :
2020-09-23T15:28:36.010875
featureType :
point
geospatial_lat_max :
44.56927
geospatial_lat_min :
44.56927
geospatial_lat_resolution :
0.1
geospatial_lat_units :
degrees_north
geospatial_lon_max :
-125.14804
geospatial_lon_min :
-125.14804
geospatial_lon_resolution :
0.1
geospatial_lon_units :
degrees_east
geospatial_vertical_positive :
down
geospatial_vertical_resolution :
0.1
geospatial_vertical_units :
meters
history :
2020-08-11T10:59:47.022995 generated from Stream Engine
id :
RS01SUM1-LJ01B-09-PRESTB102-streamed-prest_configuration_data
infoUrl :
http://oceanobservatories.org/
institution :
Ocean Observatories Initiative
keywords :
keywords_vocabulary :
lat :
44.56927
license :
lon :
-125.14804
naming_authority :
org.oceanobservatories
nodc_template_version :
NODC_NetCDF_TimeSeries_Orthogonal_Template_v1.1
node :
LJ01B
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 :
09-PRESTB102
source :
RS01SUM1-LJ01B-09-PRESTB102-streamed-prest_configuration_data
sourceUrl :
http://oceanobservatories.org/
standard_name_vocabulary :
NetCDF Climate and Forecast (CF) Metadata Convention Standard Name Table 29
stream :
prest_configuration_data
subsite :
RS01SUM1
summary :
Dataset Generated by Stream Engine from Ocean Observatories Initiative
time_coverage_end :
2016-06-07T18:30:50.103488
time_coverage_start :
2016-06-07T18:17:30.004292
title :
Data produced by Stream Engine version 1.15.0 for RS01SUM1-LJ01B-09-PRESTB102-streamed-prest_configuration_data