Show/Hide data repr

xarray.Dataset

Dimensions:
- time: 33

Coordinates: (1)

time

(time)

float64

3.675e+09 3.675e+09 ... 3.676e+09

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

array([3.674839e+09, 3.675018e+09, 3.675018e+09, 3.675018e+09, 3.675018e+09,
       3.675020e+09, 3.675020e+09, 3.675021e+09, 3.675021e+09, 3.675021e+09,
       3.675021e+09, 3.675022e+09, 3.675022e+09, 3.675023e+09, 3.675023e+09,
       3.675023e+09, 3.675023e+09, 3.675024e+09, 3.675024e+09, 3.675024e+09,
       3.675024e+09, 3.675024e+09, 3.675025e+09, 3.675027e+09, 3.675027e+09,
       3.675027e+09, 3.676298e+09, 3.676299e+09, 3.676299e+09, 3.676320e+09,
       3.676320e+09, 3.676404e+09, 3.676408e+09])

Data variables: (12)

calphase

(time)

float32

dask.array<chunksize=(33,), meta=np.ndarray>

comment :: Calibrated phase
coordinates :: time lat lon
long_name :: Calibrated Phase
precision :: 3
units :: degrees





  
      Array  Chunk 
  
  
     Bytes  132 B   132 B 
     Shape  (33,)   (33,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

deployment

(time)

int32

dask.array<chunksize=(33,), meta=np.ndarray>

long_name :: Deployment Number
name :: deployment





  
      Array  Chunk 
  
  
     Bytes  132 B   132 B 
     Shape  (33,)   (33,) 
     Count  2 Tasks  1 Chunks 
     Type  int32  numpy.ndarray

driver_timestamp

(time)

float64

dask.array<chunksize=(33,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  264 B   264 B 
     Shape  (33,)   (33,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

enable_airsaturation

(time)

float32

dask.array<chunksize=(33,), meta=np.ndarray>

comment :: Controls inclusion of air saturation(%) in the output
coordinates :: time lat lon
long_name :: Enable Air Saturation





  
      Array  Chunk 
  
  
     Bytes  132 B   132 B 
     Shape  (33,)   (33,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

enable_humiditycomp

(time)

float32

dask.array<chunksize=(33,), meta=np.ndarray>

comment :: Enable compensation for vapor pressure,-disable only for use in dry air or external humidity compensation
coordinates :: time lat lon
long_name :: Enable Humidity Compensation for Vapor Pressure





  
      Array  Chunk 
  
  
     Bytes  132 B   132 B 
     Shape  (33,)   (33,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

enable_rawdata

(time)

float32

dask.array<chunksize=(33,), meta=np.ndarray>

comment :: Controls inclusion of raw data in the output string
coordinates :: time lat lon
long_name :: Enable Raw Data





  
      Array  Chunk 
  
  
     Bytes  132 B   132 B 
     Shape  (33,)   (33,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

enable_temperature

(time)

float32

dask.array<chunksize=(33,), meta=np.ndarray>

comment :: Inclusion of Temperature in the output
coordinates :: time lat lon
long_name :: Inclusion of Temperature in the Output





  
      Array  Chunk 
  
  
     Bytes  132 B   132 B 
     Shape  (33,)   (33,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

enable_text

(time)

float32

dask.array<chunksize=(33,), meta=np.ndarray>

comment :: Reveals if the instrument has enabled an informational text display at startup.
coordinates :: time lat lon
long_name :: Enable Text
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  132 B   132 B 
     Shape  (33,)   (33,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

ingestion_timestamp

(time)

float64

dask.array<chunksize=(33,), 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  264 B   264 B 
     Shape  (33,)   (33,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

internal_timestamp

(time)

float64

dask.array<chunksize=(33,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  264 B   264 B 
     Shape  (33,)   (33,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

interval

(time)

float32

dask.array<chunksize=(33,), meta=np.ndarray>

comment :: Sampling Interval in seconds
coordinates :: time lat lon
long_name :: Interval
precision :: 3
units :: seconds





  
      Array  Chunk 
  
  
     Bytes  132 B   132 B 
     Shape  (33,)   (33,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

port_timestamp

(time)

float64

dask.array<chunksize=(33,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  264 B   264 B 
     Shape  (33,)   (33,) 
     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 :
2020-08-11T11:21:52.435287
date_downloaded :
2020-09-23T15:25:40.001711
date_modified :
2020-08-11T11:21:52.435289
date_processed :
2020-09-23T15:41:53.041272
featureType :
point
geospatial_lat_max :
45.81688
geospatial_lat_min :
45.81688
geospatial_lat_resolution :
0.1
geospatial_lat_units :
degrees_north
geospatial_lon_max :
-129.75425
geospatial_lon_min :
-129.75425
geospatial_lon_resolution :
0.1
geospatial_lon_units :
degrees_east
geospatial_vertical_positive :
down
geospatial_vertical_resolution :
0.1
geospatial_vertical_units :
meters
history :
2020-08-11T11:21:52.435241 generated from Stream Engine
id :
RS03AXBS-LJ03A-12-CTDPFB301-streamed-ctdpf_optode_settings
infoUrl :
http://oceanobservatories.org/
institution :
Ocean Observatories Initiative
keywords :
keywords_vocabulary :
lat :
45.81688
license :
lon :
-129.75425
naming_authority :
org.oceanobservatories
nodc_template_version :
NODC_NetCDF_TimeSeries_Orthogonal_Template_v1.1
node :
LJ03A
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 :
12-CTDPFB301
source :
RS03AXBS-LJ03A-12-CTDPFB301-streamed-ctdpf_optode_settings
sourceUrl :
http://oceanobservatories.org/
standard_name_vocabulary :
NetCDF Climate and Forecast (CF) Metadata Convention Standard Name Table 29
stream :
ctdpf_optode_settings
subsite :
RS03AXBS
summary :
Dataset Generated by Stream Engine from Ocean Observatories Initiative
time_coverage_end :
2016-07-02T00:22:49.908005
time_coverage_start :
2016-06-13T20:42:01.296114
title :
Data produced by Stream Engine version 1.15.0 for RS03AXBS-LJ03A-12-CTDPFB301-streamed-ctdpf_optode_settings