Show/Hide data repr

xarray.Dataset

Dimensions:
- time: 18438
- wavelength: 256
Coordinates: (2)
- time
  (time)
  float64
  3.637e+09 3.637e+09 ... 3.672e+09
  axis :
  T
  calendar :
  gregorian
  long_name :
  time
  standard_name :
  time
  units :
  seconds since 1900-01-01 0:0:0
```
array([3.637244e+09, 3.637246e+09, 3.637247e+09, ..., 3.672162e+09,
       3.672164e+09, 3.672166e+09])
```
- wavelength
  (wavelength)
  int32
  0 1 2 3 4 5 ... 251 252 253 254 255
```
array([  0,   1,   2, ..., 253, 254, 255], dtype=int32)
```

Data variables: (27)

aux_fitting_1

(time)

float32

dask.array<chunksize=(8204,), meta=np.ndarray>

comment :: Aux Fitting 1
coordinates :: time lat lon
long_name :: Aux Fitting 1
precision :: 4
units :: 1





  
      Array  Chunk 
  
  
     Bytes  73.75 kB   32.82 kB 
     Shape  (18438,)   (8204,) 
     Count  4 Tasks  3 Chunks 
     Type  float32  numpy.ndarray

aux_fitting_2

(time)

float32

dask.array<chunksize=(8204,), meta=np.ndarray>

comment :: Aux Fitting 2
coordinates :: time lat lon
long_name :: Aux Fitting 2
precision :: 4
units :: 1





  
      Array  Chunk 
  
  
     Bytes  73.75 kB   32.82 kB 
     Shape  (18438,)   (8204,) 
     Count  4 Tasks  3 Chunks 
     Type  float32  numpy.ndarray

aux_fitting_3

(time)

float32

dask.array<chunksize=(8204,), meta=np.ndarray>

coordinates :: time lat lon
long_name :: Aux Fitting 3
precision :: 4
units :: 1





  
      Array  Chunk 
  
  
     Bytes  73.75 kB   32.82 kB 
     Shape  (18438,)   (8204,) 
     Count  4 Tasks  3 Chunks 
     Type  float32  numpy.ndarray

dark_frame_spectral_channels

(time, wavelength)

float32

dask.array<chunksize=(8204, 256), meta=np.ndarray>

comment :: Spectral Channels from a Dark Frame
coordinates :: time lat lon
data_product_identifier :: NITRDARK
long_name :: Dark Frame UV Absorption Spectra
precision :: 0
units :: counts





  
      Array  Chunk 
  
  
     Bytes  18.88 MB   8.40 MB 
     Shape  (18438, 256)   (8204, 256) 
     Count  4 Tasks  3 Chunks 
     Type  float32  numpy.ndarray

date_of_sample

(time)

float64

dask.array<chunksize=(8204,), meta=np.ndarray>

comment :: Date of Sample
coordinates :: time lat lon
long_name :: Date of Sample
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  147.50 kB   65.63 kB 
     Shape  (18438,)   (8204,) 
     Count  4 Tasks  3 Chunks 
     Type  float64  numpy.ndarray

deployment

(time)

int32

dask.array<chunksize=(8204,), meta=np.ndarray>

long_name :: Deployment Number
name :: deployment





  
      Array  Chunk 
  
  
     Bytes  73.75 kB   32.82 kB 
     Shape  (18438,)   (8204,) 
     Count  4 Tasks  3 Chunks 
     Type  int32  numpy.ndarray

driver_timestamp

(time)

float64

dask.array<chunksize=(8204,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  147.50 kB   65.63 kB 
     Shape  (18438,)   (8204,) 
     Count  4 Tasks  3 Chunks 
     Type  float64  numpy.ndarray

humidity

(time)

float32

dask.array<chunksize=(8204,), meta=np.ndarray>

comment :: Humidity
coordinates :: time lat lon
long_name :: Internal Humidity
precision :: 4
units :: %





  
      Array  Chunk 
  
  
     Bytes  73.75 kB   32.82 kB 
     Shape  (18438,)   (8204,) 
     Count  4 Tasks  3 Chunks 
     Type  float32  numpy.ndarray

ingestion_timestamp

(time)

float64

dask.array<chunksize=(8204,), 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  147.50 kB   65.63 kB 
     Shape  (18438,)   (8204,) 
     Count  4 Tasks  3 Chunks 
     Type  float64  numpy.ndarray

internal_timestamp

(time)

float64

dask.array<chunksize=(8204,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  147.50 kB   65.63 kB 
     Shape  (18438,)   (8204,) 
     Count  4 Tasks  3 Chunks 
     Type  float64  numpy.ndarray

lamp_time

(time)

float64

dask.array<chunksize=(8204,), meta=np.ndarray>

comment :: Elapsed time lamp has been on in seconds
coordinates :: time lat lon
long_name :: Lamp Time
precision :: 0
units :: s





  
      Array  Chunk 
  
  
     Bytes  147.50 kB   65.63 kB 
     Shape  (18438,)   (8204,) 
     Count  4 Tasks  3 Chunks 
     Type  float64  numpy.ndarray

nitrate_concentration

(time)

float32

dask.array<chunksize=(8204,), meta=np.ndarray>

comment :: Dissolved Nitrate Concentration, uncorrected for temperature and salinity effects.
coordinates :: time lat lon
data_product_identifier :: NITRDIS_L1
long_name :: Dissolved Nitrate Concentration
units :: µMol L-1





  
      Array  Chunk 
  
  
     Bytes  73.75 kB   32.82 kB 
     Shape  (18438,)   (8204,) 
     Count  4 Tasks  3 Chunks 
     Type  float32  numpy.ndarray

nitrate_concentration_qc_executed

(time)

uint8

dask.array<chunksize=(8204,), meta=np.ndarray>

coordinates :: time lat lon
long_name :: QC Checks Executed





  
      Array  Chunk 
  
  
     Bytes  18.44 kB   8.20 kB 
     Shape  (18438,)   (8204,) 
     Count  4 Tasks  3 Chunks 
     Type  uint8  numpy.ndarray

nitrate_concentration_qc_results

(time)

uint8

dask.array<chunksize=(8204,), meta=np.ndarray>

coordinates :: time lat lon
long_name :: QC Checks Results





  
      Array  Chunk 
  
  
     Bytes  18.44 kB   8.20 kB 
     Shape  (18438,)   (8204,) 
     Count  4 Tasks  3 Chunks 
     Type  uint8  numpy.ndarray

port_timestamp

(time)

float64

dask.array<chunksize=(8204,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  147.50 kB   65.63 kB 
     Shape  (18438,)   (8204,) 
     Count  4 Tasks  3 Chunks 
     Type  float64  numpy.ndarray

ref_channel_average

(time)

float32

dask.array<chunksize=(8204,), meta=np.ndarray>

coordinates :: time lat lon
long_name :: Reference Channel Average
precision :: 4
units :: counts





  
      Array  Chunk 
  
  
     Bytes  73.75 kB   32.82 kB 
     Shape  (18438,)   (8204,) 
     Count  4 Tasks  3 Chunks 
     Type  float32  numpy.ndarray

ref_channel_variance

(time)

float32

dask.array<chunksize=(8204,), meta=np.ndarray>

coordinates :: time lat lon
long_name :: Reference Channel Variance
precision :: 4
units :: 1





  
      Array  Chunk 
  
  
     Bytes  73.75 kB   32.82 kB 
     Shape  (18438,)   (8204,) 
     Count  4 Tasks  3 Chunks 
     Type  float32  numpy.ndarray

rms_error

(time)

float32

dask.array<chunksize=(8204,), meta=np.ndarray>

coordinates :: time lat lon
long_name :: RMS Error
precision :: 4
units :: µMol L-1





  
      Array  Chunk 
  
  
     Bytes  73.75 kB   32.82 kB 
     Shape  (18438,)   (8204,) 
     Count  4 Tasks  3 Chunks 
     Type  float32  numpy.ndarray

sea_water_dark

(time)

float32

dask.array<chunksize=(8204,), meta=np.ndarray>

coordinates :: time lat lon
long_name :: Seawater Dark Counts
precision :: 4
units :: counts





  
      Array  Chunk 
  
  
     Bytes  73.75 kB   32.82 kB 
     Shape  (18438,)   (8204,) 
     Count  4 Tasks  3 Chunks 
     Type  float32  numpy.ndarray

spec_channel_average

(time)

float32

dask.array<chunksize=(8204,), meta=np.ndarray>

coordinates :: time lat lon
long_name :: Spectral Channel Average
precision :: 4
units :: counts





  
      Array  Chunk 
  
  
     Bytes  73.75 kB   32.82 kB 
     Shape  (18438,)   (8204,) 
     Count  4 Tasks  3 Chunks 
     Type  float32  numpy.ndarray

temp_interior

(time)

float32

dask.array<chunksize=(8204,), meta=np.ndarray>

comment :: Interior Temperature
coordinates :: time lat lon
long_name :: Interior Temperature
precision :: 4
units :: degree_C





  
      Array  Chunk 
  
  
     Bytes  73.75 kB   32.82 kB 
     Shape  (18438,)   (8204,) 
     Count  4 Tasks  3 Chunks 
     Type  float32  numpy.ndarray

temp_lamp

(time)

float32

dask.array<chunksize=(8204,), meta=np.ndarray>

comment :: Lamp Temperature
coordinates :: time lat lon
long_name :: Lamp Temperature
precision :: 4
units :: degree_C





  
      Array  Chunk 
  
  
     Bytes  73.75 kB   32.82 kB 
     Shape  (18438,)   (8204,) 
     Count  4 Tasks  3 Chunks 
     Type  float32  numpy.ndarray

temp_spectrometer

(time)

float32

dask.array<chunksize=(8204,), meta=np.ndarray>

comment :: Spectrometer Temperature
coordinates :: time lat lon
long_name :: Spectrometer Temperature
precision :: 4
units :: degree_C





  
      Array  Chunk 
  
  
     Bytes  73.75 kB   32.82 kB 
     Shape  (18438,)   (8204,) 
     Count  4 Tasks  3 Chunks 
     Type  float32  numpy.ndarray

time_of_sample

(time)

float64

dask.array<chunksize=(8204,), meta=np.ndarray>

comment :: Time of Sample
coordinates :: time lat lon
long_name :: Time of Sample
units :: h





  
      Array  Chunk 
  
  
     Bytes  147.50 kB   65.63 kB 
     Shape  (18438,)   (8204,) 
     Count  4 Tasks  3 Chunks 
     Type  float64  numpy.ndarray

voltage_analog

(time)

float32

dask.array<chunksize=(8204,), meta=np.ndarray>

coordinates :: time lat lon
long_name :: Analog Voltage
precision :: 4
units :: V





  
      Array  Chunk 
  
  
     Bytes  73.75 kB   32.82 kB 
     Shape  (18438,)   (8204,) 
     Count  4 Tasks  3 Chunks 
     Type  float32  numpy.ndarray

voltage_lamp

(time)

float32

dask.array<chunksize=(8204,), meta=np.ndarray>

comment :: Lamp Voltage
coordinates :: time lat lon
long_name :: Lamp Voltage
precision :: 4
units :: V





  
      Array  Chunk 
  
  
     Bytes  73.75 kB   32.82 kB 
     Shape  (18438,)   (8204,) 
     Count  4 Tasks  3 Chunks 
     Type  float32  numpy.ndarray

voltage_main

(time)

float32

dask.array<chunksize=(8204,), meta=np.ndarray>

comment :: Main Voltage
coordinates :: time lat lon
long_name :: Main Voltage
precision :: 4
units :: V





  
      Array  Chunk 
  
  
     Bytes  73.75 kB   32.82 kB 
     Shape  (18438,)   (8204,) 
     Count  4 Tasks  3 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_inst
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 :
2020-11-24T20:10:36.853031
date_downloaded :
2020-11-24T20:10:05.051868
date_modified :
2020-11-24T20:10:36.853038
date_processed :
2020-11-24T20:11:31.921651
featureType :
point
geospatial_lat_max :
46.98611
geospatial_lat_min :
46.98611
geospatial_lat_resolution :
0.1
geospatial_lat_units :
degrees_north
geospatial_lon_max :
-124.56611
geospatial_lon_min :
-124.56611
geospatial_lon_resolution :
0.1
geospatial_lon_units :
degrees_east
geospatial_vertical_positive :
down
geospatial_vertical_resolution :
0.1
geospatial_vertical_units :
meters
history :
2020-11-24T20:10:36.852951 generated from Stream Engine
id :
CE07SHSM-RID26-07-NUTNRB000-recovered_inst-nutnr_b_dark_instrument_recovered
infoUrl :
http://oceanobservatories.org/
institution :
Ocean Observatories Initiative
keywords :
keywords_vocabulary :
lat :
46.98611
license :
lon :
-124.56611
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 :
07-NUTNRB000
source :
CE07SHSM-RID26-07-NUTNRB000-recovered_inst-nutnr_b_dark_instrument_recovered
sourceUrl :
http://oceanobservatories.org/
standard_name_vocabulary :
NetCDF Climate and Forecast (CF) Metadata Convention Standard Name Table 29
stream :
nutnr_b_dark_instrument_recovered
subsite :
CE07SHSM
summary :
Dataset Generated by Stream Engine from Ocean Observatories Initiative
time_coverage_end :
2015-09-23T15:00:31
time_coverage_start :
2015-04-05T17:30:31
title :
Data produced by Stream Engine version 1.18.0 for CE07SHSM-RID26-07-NUTNRB000-recovered_inst-nutnr_b_dark_instrument_recovered