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xarray.Dataset

Dimensions:
- time: 89

Coordinates: (1)

time

(time)

float64

3.747e+09 3.747e+09 ... 3.796e+09

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

array([3.747254e+09, 3.747280e+09, 3.747323e+09, 3.747367e+09, 3.747410e+09,
       3.747453e+09, 3.747545e+09, 3.747625e+09, 3.747668e+09, 3.747712e+09,
       3.747755e+09, 3.747798e+09, 3.747841e+09, 3.747884e+09, 3.747928e+09,
       3.747971e+09, 3.748014e+09, 3.748057e+09, 3.748100e+09, 3.748144e+09,
       3.748187e+09, 3.748274e+09, 3.748317e+09, 3.748360e+09, 3.748403e+09,
       3.748446e+09, 3.748490e+09, 3.748533e+09, 3.748576e+09, 3.748619e+09,
       3.748662e+09, 3.748706e+09, 3.748749e+09, 3.748835e+09, 3.748878e+09,
       3.748922e+09, 3.748965e+09, 3.749008e+09, 3.749051e+09, 3.749094e+09,
       3.749138e+09, 3.749181e+09, 3.780769e+09, 3.780771e+09, 3.780772e+09,
       3.780773e+09, 3.780774e+09, 3.780776e+09, 3.780809e+09, 3.780852e+09,
       3.780895e+09, 3.790522e+09, 3.790523e+09, 3.790524e+09, 3.790525e+09,
       3.790573e+09, 3.791088e+09, 3.791175e+09, 3.791218e+09, 3.791261e+09,
       3.791650e+09, 3.792643e+09, 3.792686e+09, 3.792730e+09, 3.792773e+09,
       3.792816e+09, 3.792859e+09, 3.792902e+09, 3.792946e+09, 3.793118e+09,
       3.793205e+09, 3.793248e+09, 3.793464e+09, 3.793982e+09, 3.794068e+09,
       3.794155e+09, 3.794241e+09, 3.794328e+09, 3.794414e+09, 3.794847e+09,
       3.794933e+09, 3.795451e+09, 3.795538e+09, 3.795624e+09, 3.795710e+09,
       3.795797e+09, 3.795883e+09, 3.795970e+09, 3.796056e+09])

Data variables: (8)

day_of_year_number

(time)

float32

dask.array<chunksize=(89,), meta=np.ndarray>

comment :: 1/1 is 0, 2/1 is 32, etc...
coordinates :: lat pressure lon time
long_name :: Day of Year Number
units :: 1





  
      Array  Chunk 
  
  
     Bytes  356 B   356 B 
     Shape  (89,)   (89,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

deployment

(time)

int32

dask.array<chunksize=(89,), meta=np.ndarray>

coordinates :: lat pressure lon time
long_name :: Deployment Number
name :: deployment





  
      Array  Chunk 
  
  
     Bytes  356 B   356 B 
     Shape  (89,)   (89,) 
     Count  2 Tasks  1 Chunks 
     Type  int32  numpy.ndarray

driver_timestamp

(time)

float64

dask.array<chunksize=(89,), meta=np.ndarray>

comment :: Driver timestamp, UTC
coordinates :: lat pressure lon time
long_name :: Driver Timestamp, UTC
units :: seconds since 1900-01-01





  
      Array  Chunk 
  
  
     Bytes  712 B   712 B 
     Shape  (89,)   (89,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

fraction_of_day

(time)

float32

dask.array<chunksize=(89,), meta=np.ndarray>

comment :: midnight is 0, noon is 5000, 13:30 is 5625, etc...
coordinates :: lat pressure lon time
long_name :: Fraction of Day
units :: 1





  
      Array  Chunk 
  
  
     Bytes  356 B   356 B 
     Shape  (89,)   (89,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

ingestion_timestamp

(time)

float64

dask.array<chunksize=(89,), meta=np.ndarray>

comment :: The NTP Timestamp for when the granule was ingested
coordinates :: lat pressure lon time
long_name :: Ingestion Timestamp, UTC
units :: seconds since 1900-01-01





  
      Array  Chunk 
  
  
     Bytes  712 B   712 B 
     Shape  (89,)   (89,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

internal_timestamp

(time)

float64

dask.array<chunksize=(89,), meta=np.ndarray>

comment :: Internal timestamp, UTC
coordinates :: lat pressure lon time
long_name :: Internal Timestamp, UTC
units :: seconds since 1900-01-01





  
      Array  Chunk 
  
  
     Bytes  712 B   712 B 
     Shape  (89,)   (89,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

port_timestamp

(time)

float64

dask.array<chunksize=(89,), meta=np.ndarray>

comment :: Port timestamp, UTC
coordinates :: lat pressure lon time
long_name :: Port Timestamp, UTC
units :: seconds since 1900-01-01





  
      Array  Chunk 
  
  
     Bytes  712 B   712 B 
     Shape  (89,)   (89,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

product_number

(time)

float32

dask.array<chunksize=(89,), meta=np.ndarray>

comment :: Aanderaa product/model number.
coordinates :: lat pressure lon time
long_name :: Product Number
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  356 B   356 B 
     Shape  (89,)   (89,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

Attributes: (51)
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 :
telemetered
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 :
2020-08-11T01:14:20.546035
date_downloaded :
2020-09-22T23:01:43.851752
date_modified :
2020-08-11T01:14:20.546041
date_processed :
2020-09-22T23:46:41.619233
featureType :
point
geospatial_lat_max :
44.637117
geospatial_lat_min :
44.637117
geospatial_lat_resolution :
0.1
geospatial_lat_units :
degrees_north
geospatial_lon_max :
-124.302617
geospatial_lon_min :
-124.302617
geospatial_lon_resolution :
0.1
geospatial_lon_units :
degrees_east
geospatial_vertical_positive :
down
geospatial_vertical_resolution :
0.1
geospatial_vertical_units :
meters
history :
2020-08-11T01:14:20.545973 generated from Stream Engine
id :
CE02SHSP-SP001-01-DOSTAJ000-telemetered-dosta_abcdjm_cspp_metadata
infoUrl :
http://oceanobservatories.org/
institution :
Ocean Observatories Initiative
keywords :
keywords_vocabulary :
license :
naming_authority :
org.oceanobservatories
nodc_template_version :
NODC_NetCDF_TimeSeries_Orthogonal_Template_v1.1
node :
SP001
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 :
01-DOSTAJ000
source :
CE02SHSP-SP001-01-DOSTAJ000-telemetered-dosta_abcdjm_cspp_metadata
sourceUrl :
http://oceanobservatories.org/
standard_name_vocabulary :
NetCDF Climate and Forecast (CF) Metadata Convention Standard Name Table 29
stream :
dosta_abcdjm_cspp_metadata
subsite :
CE02SHSP
summary :
Dataset Generated by Stream Engine from Ocean Observatories Initiative
time_coverage_end :
2018-10-22T07:06:08.726000
time_coverage_start :
2018-09-29T23:45:36.373000
title :
Data produced by Stream Engine version 1.15.0 for CE02SHSP-SP001-01-DOSTAJ000-telemetered-dosta_abcdjm_cspp_metadata