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xarray.Dataset

Dimensions:
- time: 2
- tmpsf_cal_coeffs_dim_0: 24
- tmpsf_cal_coeffs_dim_1: 4
Coordinates: (3)
- time
  (time)
  float64
  3.673e+09 3.673e+09
  axis :
  T
  calendar :
  gregorian
  long_name :
  time
  standard_name :
  time
  units :
  seconds since 1900-01-01 0:0:0
```
array([3.673022e+09, 3.673022e+09])
```
- tmpsf_cal_coeffs_dim_0
  (tmpsf_cal_coeffs_dim_0)
  int32
  0 1 2 3 4 5 6 ... 18 19 20 21 22 23
```
array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,
       18, 19, 20, 21, 22, 23], dtype=int32)
```
- tmpsf_cal_coeffs_dim_1
  (tmpsf_cal_coeffs_dim_1)
  int32
  0 1 2 3
```
array([0, 1, 2, 3], dtype=int32)
```

Data variables: (7)

battery_voltage

(time)

float32

dask.array<chunksize=(2,), meta=np.ndarray>

comment :: Instrument battery voltage reported in volts.
coordinates :: time lat lon
long_name :: Battery Voltage
precision :: 3
units :: V





  
      Array  Chunk 
  
  
     Bytes  8 B   8 B 
     Shape  (2,)   (2,) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

deployment

(time)

int32

dask.array<chunksize=(2,), meta=np.ndarray>

long_name :: Deployment Number
name :: deployment





  
      Array  Chunk 
  
  
     Bytes  8 B   8 B 
     Shape  (2,)   (2,) 
     Count  2 Tasks  1 Chunks 
     Type  int32  numpy.ndarray

driver_timestamp

(time)

float64

dask.array<chunksize=(2,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  16 B   16 B 
     Shape  (2,)   (2,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

ingestion_timestamp

(time)

float64

dask.array<chunksize=(2,), 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  16 B   16 B 
     Shape  (2,)   (2,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

internal_timestamp

(time)

float64

dask.array<chunksize=(2,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  16 B   16 B 
     Shape  (2,)   (2,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

port_timestamp

(time)

float64

dask.array<chunksize=(2,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  16 B   16 B 
     Shape  (2,)   (2,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

tmpsf_cal_coeffs

(time, tmpsf_cal_coeffs_dim_0, tmpsf_cal_coeffs_dim_1)

float64

dask.array<chunksize=(2, 24, 4), meta=np.ndarray>

comment :: Seawater Temperature Array in Spatial Grid refers to the array of temperature measurements made by 24 thermistors positioned in a spatial array.
coordinates :: time lat lon
long_name :: Seawater Temperature Array in Spatial Grid
precision :: 5
standard_name :: sea_water_temperature
units :: degree_C





  
      Array  Chunk 
  
  
     Bytes  1.54 kB   1.54 kB 
     Shape  (2, 24, 4)   (2, 24, 4) 
     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 :
2020-08-11T10:11:23.255822
date_downloaded :
2020-09-23T10:47:15.582351
date_modified :
2020-08-11T10:11:23.255824
date_processed :
2020-09-23T12:37:42.477327
featureType :
point
geospatial_lat_max :
45.93362
geospatial_lat_min :
45.93362
geospatial_lat_resolution :
0.1
geospatial_lat_units :
degrees_north
geospatial_lon_max :
-130.01368
geospatial_lon_min :
-130.01368
geospatial_lon_resolution :
0.1
geospatial_lon_units :
degrees_east
geospatial_vertical_positive :
down
geospatial_vertical_resolution :
0.1
geospatial_vertical_units :
meters
history :
2020-08-11T10:11:23.255781 generated from Stream Engine
id :
RS03ASHS-MJ03B-07-TMPSFA301-streamed-tmpsf_engineering
infoUrl :
http://oceanobservatories.org/
institution :
Ocean Observatories Initiative
keywords :
keywords_vocabulary :
lat :
45.93362
license :
lon :
-130.01368
naming_authority :
org.oceanobservatories
nodc_template_version :
NODC_NetCDF_TimeSeries_Orthogonal_Template_v1.1
node :
MJ03B
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 :
07-TMPSFA301
source :
RS03ASHS-MJ03B-07-TMPSFA301-streamed-tmpsf_engineering
sourceUrl :
http://oceanobservatories.org/
standard_name_vocabulary :
NetCDF Climate and Forecast (CF) Metadata Convention Standard Name Table 29
stream :
tmpsf_engineering
subsite :
RS03ASHS
summary :
Dataset Generated by Stream Engine from Ocean Observatories Initiative
time_coverage_end :
2016-05-23T19:57:08.280192
time_coverage_start :
2016-05-23T19:55:21.977976
title :
Data produced by Stream Engine version 1.15.0 for RS03ASHS-MJ03B-07-TMPSFA301-streamed-tmpsf_engineering