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xarray.Dataset

Dimensions:
- time: 14

Coordinates: (1)

time

(time)

float64

3.649e+09 3.65e+09 ... 3.77e+09

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

array([3.649454e+09, 3.649538e+09, 3.674435e+09, 3.676839e+09, 3.676839e+09,
       3.676840e+09, 3.676841e+09, 3.676841e+09, 3.740829e+09, 3.740829e+09,
       3.763322e+09, 3.763323e+09, 3.769526e+09, 3.769526e+09])

Data variables: (24)

auto_run

(time)

float32

dask.array<chunksize=(14,), meta=np.ndarray>

coordinates :: time lat lon
long_name :: Auto Run
units :: 1





  
      Array  Chunk 
  
  
     Bytes  56 B   56 B 
     Shape  (14,)   (14,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

battery_cutoff

(time)

float32

dask.array<chunksize=(14,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  56 B   56 B 
     Shape  (14,)   (14,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

deployment

(time)

int32

dask.array<chunksize=(14,), meta=np.ndarray>

long_name :: Deployment Number
name :: deployment





  
      Array  Chunk 
  
  
     Bytes  56 B   56 B 
     Shape  (14,)   (14,) 
     Count  2 Tasks  1 Chunks 
     Type  int32  numpy.ndarray

driver_timestamp

(time)

float64

dask.array<chunksize=(14,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  112 B   112 B 
     Shape  (14,)   (14,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

echo_characters

(time)

float32

dask.array<chunksize=(14,), meta=np.ndarray>

coordinates :: time lat lon
long_name :: Echo Characters Flag
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  56 B   56 B 
     Shape  (14,)   (14,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

ext_volt_0

(time)

float32

dask.array<chunksize=(14,), meta=np.ndarray>

coordinates :: time lat lon
long_name :: External Voltage 0 Sensor Flag
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  56 B   56 B 
     Shape  (14,)   (14,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

ext_volt_1

(time)

float32

dask.array<chunksize=(14,), meta=np.ndarray>

coordinates :: time lat lon
long_name :: External Voltage 1 Sensor Flag
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  56 B   56 B 
     Shape  (14,)   (14,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

ext_volt_2

(time)

float32

dask.array<chunksize=(14,), meta=np.ndarray>

coordinates :: time lat lon
long_name :: External Voltage 2 Sensor Flag
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  56 B   56 B 
     Shape  (14,)   (14,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

ext_volt_3

(time)

float32

dask.array<chunksize=(14,), meta=np.ndarray>

coordinates :: time lat lon
long_name :: External Voltage 3 Sensor Flag
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  56 B   56 B 
     Shape  (14,)   (14,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

ext_volt_4

(time)

float32

dask.array<chunksize=(14,), meta=np.ndarray>

coordinates :: time lat lon
long_name :: External Voltage 4 Sensor Flag
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  56 B   56 B 
     Shape  (14,)   (14,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

ext_volt_5

(time)

float32

dask.array<chunksize=(14,), meta=np.ndarray>

coordinates :: time lat lon
long_name :: External Voltage 5 Sensor Flag
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  56 B   56 B 
     Shape  (14,)   (14,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

gas_tension_device

(time)

float32

dask.array<chunksize=(14,), meta=np.ndarray>

coordinates :: time lat lon
long_name :: External Gas Tension Device Flag
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  56 B   56 B 
     Shape  (14,)   (14,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

ignore_switch

(time)

float32

dask.array<chunksize=(14,), meta=np.ndarray>

coordinates :: time lat lon
long_name :: Ignore Switch
units :: 1





  
      Array  Chunk 
  
  
     Bytes  56 B   56 B 
     Shape  (14,)   (14,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

ingestion_timestamp

(time)

float64

dask.array<chunksize=(14,), 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  112 B   112 B 
     Shape  (14,)   (14,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

internal_timestamp

(time)

float64

dask.array<chunksize=(14,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  112 B   112 B 
     Shape  (14,)   (14,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

min_cond_freq

(time)

float32

dask.array<chunksize=(14,), meta=np.ndarray>

coordinates :: time lat lon
long_name :: Minimum Conductivity Frequency
units :: counts





  
      Array  Chunk 
  
  
     Bytes  56 B   56 B 
     Shape  (14,)   (14,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

optode

(time)

float32

dask.array<chunksize=(14,), meta=np.ndarray>

coordinates :: time lat lon
long_name :: External Optode Flag
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  56 B   56 B 
     Shape  (14,)   (14,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

output_executed_tag

(time)

float32

dask.array<chunksize=(14,), meta=np.ndarray>

coordinates :: time lat lon
long_name :: Output Executed Tag
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  56 B   56 B 
     Shape  (14,)   (14,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

port_timestamp

(time)

float64

dask.array<chunksize=(14,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  112 B   112 B 
     Shape  (14,)   (14,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

pump_delay

(time)

float32

dask.array<chunksize=(14,), meta=np.ndarray>

coordinates :: time lat lon
long_name :: Pump Delay
units :: counts





  
      Array  Chunk 
  
  
     Bytes  56 B   56 B 
     Shape  (14,)   (14,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

sbe38

(time)

float32

dask.array<chunksize=(14,), meta=np.ndarray>

coordinates :: time lat lon
long_name :: External SBE38 Flag
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  56 B   56 B 
     Shape  (14,)   (14,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

sbe63

(time)

float32

dask.array<chunksize=(14,), meta=np.ndarray>

comment :: SBE63 pressure sensor flag (Installed?: yes or no)
coordinates :: time lat lon
long_name :: SBE63 Pressure Sensor Flag
units :: 1





  
      Array  Chunk 
  
  
     Bytes  56 B   56 B 
     Shape  (14,)   (14,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

scans_to_average

(time)

float32

dask.array<chunksize=(14,), meta=np.ndarray>

coordinates :: time lat lon
long_name :: Scans to Average
units :: counts





  
      Array  Chunk 
  
  
     Bytes  56 B   56 B 
     Shape  (14,)   (14,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

wetlabs

(time)

float32

dask.array<chunksize=(14,), meta=np.ndarray>

coordinates :: time lat lon
long_name :: External Wetlabs Flag
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  56 B   56 B 
     Shape  (14,)   (14,) 
     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 :
2020-08-11T03:38:09.468402
date_downloaded :
2020-09-23T04:19:57.749316
date_modified :
2020-08-11T03:38:09.468414
date_processed :
2020-09-23T04:20:06.605083
featureType :
point
geospatial_lat_max :
44.37415
geospatial_lat_min :
44.37415
geospatial_lat_resolution :
0.1
geospatial_lat_units :
degrees_north
geospatial_lon_max :
-124.95648
geospatial_lon_min :
-124.95648
geospatial_lon_resolution :
0.1
geospatial_lon_units :
degrees_east
geospatial_vertical_positive :
down
geospatial_vertical_resolution :
0.1
geospatial_vertical_units :
meters
history :
2020-08-11T03:38:09.468273 generated from Stream Engine
id :
CE04OSPS-PC01B-4A-CTDPFA109-streamed-ctdpf_optode_configuration
infoUrl :
http://oceanobservatories.org/
institution :
Ocean Observatories Initiative
keywords :
keywords_vocabulary :
lat :
44.37415
license :
lon :
-124.95648
naming_authority :
org.oceanobservatories
nodc_template_version :
NODC_NetCDF_TimeSeries_Orthogonal_Template_v1.1
node :
PC01B
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-CTDPFA109
source :
CE04OSPS-PC01B-4A-CTDPFA109-streamed-ctdpf_optode_configuration
sourceUrl :
http://oceanobservatories.org/
standard_name_vocabulary :
NetCDF Climate and Forecast (CF) Metadata Convention Standard Name Table 29
stream :
ctdpf_optode_configuration
subsite :
CE04OSPS
summary :
Dataset Generated by Stream Engine from Ocean Observatories Initiative
time_coverage_end :
2016-07-07T00:46:05.960124
time_coverage_start :
2015-08-25T01:07:15.782581
title :
Data produced by Stream Engine version 1.15.0 for CE04OSPS-PC01B-4A-CTDPFA109-streamed-ctdpf_optode_configuration