Show/Hide data repr

xarray.Dataset

Dimensions:
- time: 963
Coordinates: (1)
- time
  (time)
  float64
  3.636e+09 3.636e+09 ... 3.781e+09
  axis :
  T
  calendar :
  gregorian
  long_name :
  time
  standard_name :
  time
  units :
  seconds since 1900-01-01 0:0:0
```
array([3.635696e+09, 3.635697e+09, 3.635698e+09, ..., 3.780852e+09,
       3.780895e+09, 3.780939e+09])
```

Data variables: (8)

day_of_year_number

(time)

float32

dask.array<chunksize=(963,), 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  3.85 kB   3.85 kB 
     Shape  (963,)   (963,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

deployment

(time)

int32

dask.array<chunksize=(963,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  3.85 kB   3.85 kB 
     Shape  (963,)   (963,) 
     Count  2 Tasks  1 Chunks 
     Type  int32  numpy.ndarray

driver_timestamp

(time)

float64

dask.array<chunksize=(963,), 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  7.70 kB   7.70 kB 
     Shape  (963,)   (963,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

fraction_of_day

(time)

float32

dask.array<chunksize=(963,), 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  3.85 kB   3.85 kB 
     Shape  (963,)   (963,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

ingestion_timestamp

(time)

float64

dask.array<chunksize=(963,), 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  7.70 kB   7.70 kB 
     Shape  (963,)   (963,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

internal_timestamp

(time)

float64

dask.array<chunksize=(963,), 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  7.70 kB   7.70 kB 
     Shape  (963,)   (963,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

port_timestamp

(time)

float64

dask.array<chunksize=(963,), 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  7.70 kB   7.70 kB 
     Shape  (963,)   (963,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

product_number

(time)

float32

dask.array<chunksize=(963,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  3.85 kB   3.85 kB 
     Shape  (963,)   (963,) 
     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 :
recovered_cspp
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 :
2020-08-11T01:21:00.395045
date_downloaded :
2020-09-22T22:59:49.523971
date_modified :
2020-08-11T01:21:00.395048
date_processed :
2020-09-22T23:33:10.188517
featureType :
point
geospatial_lat_max :
44.6391
geospatial_lat_min :
44.6391
geospatial_lat_resolution :
0.1
geospatial_lat_units :
degrees_north
geospatial_lon_max :
-124.30043
geospatial_lon_min :
-124.30043
geospatial_lon_resolution :
0.1
geospatial_lon_units :
degrees_east
geospatial_vertical_positive :
down
geospatial_vertical_resolution :
0.1
geospatial_vertical_units :
meters
history :
2020-08-11T01:21:00.395012 generated from Stream Engine
id :
CE02SHSP-SP001-01-DOSTAJ000-recovered_cspp-dosta_abcdjm_cspp_metadata_recovered
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-recovered_cspp-dosta_abcdjm_cspp_metadata_recovered
sourceUrl :
http://oceanobservatories.org/
standard_name_vocabulary :
NetCDF Climate and Forecast (CF) Metadata Convention Standard Name Table 29
stream :
dosta_abcdjm_cspp_metadata_recovered
subsite :
CE02SHSP
summary :
Dataset Generated by Stream Engine from Ocean Observatories Initiative
time_coverage_end :
2015-04-01T18:43:30.031000
time_coverage_start :
2015-03-18T19:36:09.379000
title :
Data produced by Stream Engine version 1.15.0 for CE02SHSP-SP001-01-DOSTAJ000-recovered_cspp-dosta_abcdjm_cspp_metadata_recovered