Show/Hide data repr

xarray.Dataset

Dimensions:
- time: 1
Coordinates: (1)
- time
  (time)
  float64
  3.722e+09
  axis :
  T
  calendar :
  gregorian
  long_name :
  time
  standard_name :
  time
  units :
  seconds since 1900-01-01 0:0:0
```
array([3.722159e+09])
```

Data variables: (29)

battery_low_blank

(time)

float32

dask.array<chunksize=(1,), meta=np.ndarray>

comment :: Battery low during blank cycle
coordinates :: time lat lon
long_name :: Battery Low During Blank Cycle
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  4 B   4 B 
     Shape  (1,)   (1,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

battery_low_external

(time)

float32

dask.array<chunksize=(1,), meta=np.ndarray>

comment :: Battery low while powering external devices
coordinates :: time lat lon
long_name :: Battery Low External
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  4 B   4 B 
     Shape  (1,)   (1,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

battery_low_measurement

(time)

float32

dask.array<chunksize=(1,), meta=np.ndarray>

comment :: Battery low during measurement cycle
coordinates :: time lat lon
long_name :: Battery Low Measurement
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  4 B   4 B 
     Shape  (1,)   (1,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

battery_low_prestart

(time)

float32

dask.array<chunksize=(1,), meta=np.ndarray>

comment :: Battery low or missing before start
coordinates :: time lat lon
long_name :: Battery Error Fatal
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  4 B   4 B 
     Shape  (1,)   (1,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

clock_active

(time)

float32

dask.array<chunksize=(1,), meta=np.ndarray>

comment :: Is the clock active?
coordinates :: time lat lon
long_name :: Clock Active
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  4 B   4 B 
     Shape  (1,)   (1,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

data_download_ok

(time)

float32

dask.array<chunksize=(1,), meta=np.ndarray>

comment :: Data downloaded?
coordinates :: time lat lon
long_name :: Data Download Ok
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  4 B   4 B 
     Shape  (1,)   (1,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

deployment

(time)

int32

dask.array<chunksize=(1,), meta=np.ndarray>

long_name :: Deployment Number
name :: deployment





  
      Array  Chunk 
  
  
     Bytes  4 B   4 B 
     Shape  (1,)   (1,) 
     Count  2 Tasks  1 Chunks 
     Type  int32  numpy.ndarray

driver_timestamp

(time)

float64

dask.array<chunksize=(1,), meta=np.ndarray>

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





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

external_device1_fault

(time)

float32

dask.array<chunksize=(1,), meta=np.ndarray>

comment :: Device 1 external fault.
coordinates :: time lat lon
long_name :: External Device Fault
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  4 B   4 B 
     Shape  (1,)   (1,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

external_device2_fault

(time)

float32

dask.array<chunksize=(1,), meta=np.ndarray>

comment :: External Fault, Device 2 boolean.
coordinates :: time lat lon
long_name :: External Fault, Device 2
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  4 B   4 B 
     Shape  (1,)   (1,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

external_device3_fault

(time)

float32

dask.array<chunksize=(1,), meta=np.ndarray>

comment :: External Fault, Device 3 boolean.
coordinates :: time lat lon
long_name :: External Fault, Device 3
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  4 B   4 B 
     Shape  (1,)   (1,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

flash_erased

(time)

float32

dask.array<chunksize=(1,), meta=np.ndarray>

comment :: Was the flash memory erased?
coordinates :: time lat lon
long_name :: Flash Erased
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  4 B   4 B 
     Shape  (1,)   (1,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

flash_memory_open

(time)

float32

dask.array<chunksize=(1,), meta=np.ndarray>

comment :: Is the flash memory open
coordinates :: time lat lon
long_name :: Flash Memory Open
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  4 B   4 B 
     Shape  (1,)   (1,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

ingestion_timestamp

(time)

float64

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

internal_timestamp

(time)

float64

dask.array<chunksize=(1,), meta=np.ndarray>

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





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

num_bytes_stored

(time)

float64

dask.array<chunksize=(1,), meta=np.ndarray>

comment :: Number of bytes stored
coordinates :: time lat lon
long_name :: Number of Bytes Stored
precision :: 0
units :: bytes





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

num_data_records

(time)

float64

dask.array<chunksize=(1,), meta=np.ndarray>

comment :: Number of data and control records recorded.
coordinates :: time lat lon
long_name :: Number of Data Records
precision :: 0
units :: 1





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

num_error_records

(time)

float64

dask.array<chunksize=(1,), meta=np.ndarray>

comment :: Number of error records recorded.
coordinates :: time lat lon
long_name :: Number of Error Records
precision :: 0
units :: 1





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

passed_checksum

(time)

float32

dask.array<chunksize=(1,), meta=np.ndarray>

comment :: Passed the checksum, False or True.
coordinates :: time lat lon
long_name :: Checksum Result
units :: 1





  
      Array  Chunk 
  
  
     Bytes  4 B   4 B 
     Shape  (1,)   (1,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

port_timestamp

(time)

float64

dask.array<chunksize=(1,), meta=np.ndarray>

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





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

power_on_invalid

(time)

float32

dask.array<chunksize=(1,), meta=np.ndarray>

comment :: Power on flags invalid
coordinates :: time lat lon
long_name :: Power on Invalid
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  4 B   4 B 
     Shape  (1,)   (1,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

record_end_on_error

(time)

float32

dask.array<chunksize=(1,), meta=np.ndarray>

comment :: Recording failed or was aborted by user.
coordinates :: time lat lon
long_name :: Record End on Error
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  4 B   4 B 
     Shape  (1,)   (1,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

record_end_on_time

(time)

float32

dask.array<chunksize=(1,), meta=np.ndarray>

comment :: Not all time measurements collected
coordinates :: time lat lon
long_name :: Record End on Time
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  4 B   4 B 
     Shape  (1,)   (1,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

record_memory_full

(time)

float32

dask.array<chunksize=(1,), meta=np.ndarray>

comment :: Recording memory is full?
coordinates :: time lat lon
long_name :: Record Memory Full
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  4 B   4 B 
     Shape  (1,)   (1,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

record_time

(time)

float64

dask.array<chunksize=(1,), meta=np.ndarray>

comment :: Time of control record in seconds since January 1, 1904.
coordinates :: time lat lon
long_name :: Record Time, UTC
precision :: 0
units :: seconds since 1904-01-01





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

record_type

(time)

float32

dask.array<chunksize=(1,), meta=np.ndarray>

comment :: Record type
coordinates :: time lat lon
long_name :: Record Type
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  4 B   4 B 
     Shape  (1,)   (1,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

recording_active

(time)

float32

dask.array<chunksize=(1,), meta=np.ndarray>

comment :: Is recording active?
coordinates :: time lat lon
long_name :: Recording Active
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  4 B   4 B 
     Shape  (1,)   (1,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

unique_id

(time)

float32

dask.array<chunksize=(1,), meta=np.ndarray>

comment :: A 1 byte hash of the SAMI name and calibration.
coordinates :: time lat lon
long_name :: Instrument Unique ID
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  4 B   4 B 
     Shape  (1,)   (1,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

voltage_battery

(time)

float32

dask.array<chunksize=(1,), meta=np.ndarray>

comment :: Battery voltage in counts.
coordinates :: time lat lon
long_name :: Voltage Battery
precision :: 0
units :: counts





  
      Array  Chunk 
  
  
     Bytes  4 B   4 B 
     Shape  (1,)   (1,) 
     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 :
recovered_host
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 :
2020-08-11T00:40:11.349349
date_downloaded :
2020-09-22T23:46:41.627452
date_modified :
2020-08-11T00:40:11.349352
date_processed :
2020-09-23T00:40:03.309205
featureType :
point
geospatial_lat_max :
44.63925
geospatial_lat_min :
44.63925
geospatial_lat_resolution :
0.1
geospatial_lat_units :
degrees_north
geospatial_lon_max :
-124.30407
geospatial_lon_min :
-124.30407
geospatial_lon_resolution :
0.1
geospatial_lon_units :
degrees_east
geospatial_vertical_positive :
down
geospatial_vertical_resolution :
0.1
geospatial_vertical_units :
meters
history :
2020-08-11T00:40:11.349308 generated from Stream Engine
id :
CE02SHSM-RID26-06-PHSEND000-recovered_host-phsen_abcdef_dcl_metadata_recovered
infoUrl :
http://oceanobservatories.org/
institution :
Ocean Observatories Initiative
keywords :
keywords_vocabulary :
lat :
44.63925
license :
lon :
-124.30407
naming_authority :
org.oceanobservatories
nodc_template_version :
NODC_NetCDF_TimeSeries_Orthogonal_Template_v1.1
node :
RID26
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-PHSEND000
source :
CE02SHSM-RID26-06-PHSEND000-recovered_host-phsen_abcdef_dcl_metadata_recovered
sourceUrl :
http://oceanobservatories.org/
standard_name_vocabulary :
NetCDF Climate and Forecast (CF) Metadata Convention Standard Name Table 29
stream :
phsen_abcdef_dcl_metadata_recovered
subsite :
CE02SHSM
summary :
Dataset Generated by Stream Engine from Ocean Observatories Initiative
time_coverage_end :
2017-12-13T13:04:49
time_coverage_start :
2017-12-13T13:04:49
title :
Data produced by Stream Engine version 1.15.0 for CE02SHSM-RID26-06-PHSEND000-recovered_host-phsen_abcdef_dcl_metadata_recovered