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xarray.Dataset

Dimensions:
- time: 4198731
- wavelength: 256
Coordinates: (2)
- time
  (time)
  float64
  3.648e+09 3.648e+09 ... 3.807e+09
  axis :
  T
  calendar :
  gregorian
  long_name :
  time
  standard_name :
  time
  units :
  seconds since 1900-01-01 0:0:0
```
array([3.647604e+09, 3.647604e+09, 3.647604e+09, ..., 3.806690e+09,
       3.806690e+09, 3.806690e+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: (36)

aux_fitting_1

(time)

float32

dask.array<chunksize=(99474,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  16.79 MB   397.90 kB 
     Shape  (4198731,)   (99474,) 
     Count  44 Tasks  43 Chunks 
     Type  float32  numpy.ndarray

aux_fitting_2

(time)

float32

dask.array<chunksize=(99474,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  16.79 MB   397.90 kB 
     Shape  (4198731,)   (99474,) 
     Count  44 Tasks  43 Chunks 
     Type  float32  numpy.ndarray

checksum

(time)

float32

dask.array<chunksize=(99474,), meta=np.ndarray>

comment :: Data checksum.
coordinates :: lat depth lon time
long_name :: Data Checksum
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  16.79 MB   397.90 kB 
     Shape  (4198731,)   (99474,) 
     Count  44 Tasks  43 Chunks 
     Type  float32  numpy.ndarray

date_of_sample

(time)

float64

dask.array<chunksize=(99474,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  33.59 MB   795.79 kB 
     Shape  (4198731,)   (99474,) 
     Count  44 Tasks  43 Chunks 
     Type  float64  numpy.ndarray

deployment

(time)

int32

dask.array<chunksize=(99474,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  16.79 MB   397.90 kB 
     Shape  (4198731,)   (99474,) 
     Count  44 Tasks  43 Chunks 
     Type  int32  numpy.ndarray

driver_timestamp

(time)

float64

dask.array<chunksize=(99474,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  33.59 MB   795.79 kB 
     Shape  (4198731,)   (99474,) 
     Count  44 Tasks  43 Chunks 
     Type  float64  numpy.ndarray

humidity

(time)

float32

dask.array<chunksize=(99474,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  16.79 MB   397.90 kB 
     Shape  (4198731,)   (99474,) 
     Count  44 Tasks  43 Chunks 
     Type  float32  numpy.ndarray

ingestion_timestamp

(time)

float64

dask.array<chunksize=(99474,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  33.59 MB   795.79 kB 
     Shape  (4198731,)   (99474,) 
     Count  44 Tasks  43 Chunks 
     Type  float64  numpy.ndarray

int_ctd_pressure

(time)

float64

dask.array<chunksize=(99474,), meta=np.ndarray>

comment :: Seawater Pressure refers to the pressure exerted on a sensor in situ by the weight of the column of seawater above it. It is calculated by subtracting one standard atmosphere from the absolute pressure at the sensor to remove the weight of the atmosphere on top of the water column. The pressure at a sensor in situ provides a metric of the depth of that sensor.
coordinates :: lat depth lon time
data_product_identifier :: PRESWAT_L1
long_name :: Seawater Pressure
precision :: 3
standard_name :: sea_water_pressure
units :: dbar





  
      Array  Chunk 
  
  
     Bytes  33.59 MB   795.79 kB 
     Shape  (4198731,)   (99474,) 
     Count  44 Tasks  43 Chunks 
     Type  float64  numpy.ndarray

internal_timestamp

(time)

float64

dask.array<chunksize=(99474,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  33.59 MB   795.79 kB 
     Shape  (4198731,)   (99474,) 
     Count  44 Tasks  43 Chunks 
     Type  float64  numpy.ndarray

lamp_time

(time)

float64

dask.array<chunksize=(99474,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  33.59 MB   795.79 kB 
     Shape  (4198731,)   (99474,) 
     Count  44 Tasks  43 Chunks 
     Type  float64  numpy.ndarray

nitrate_concentration

(time)

float32

dask.array<chunksize=(99474,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  16.79 MB   397.90 kB 
     Shape  (4198731,)   (99474,) 
     Count  44 Tasks  43 Chunks 
     Type  float32  numpy.ndarray

nitrate_concentration_qc_executed

(time)

uint8

dask.array<chunksize=(99474,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  4.20 MB   99.47 kB 
     Shape  (4198731,)   (99474,) 
     Count  44 Tasks  43 Chunks 
     Type  uint8  numpy.ndarray

nitrate_concentration_qc_results

(time)

uint8

dask.array<chunksize=(99474,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  4.20 MB   99.47 kB 
     Shape  (4198731,)   (99474,) 
     Count  44 Tasks  43 Chunks 
     Type  uint8  numpy.ndarray

nutnr_absorbance_at_254_nm

(time)

float32

dask.array<chunksize=(99474,), meta=np.ndarray>

comment :: Absorbance at 254 nm
coordinates :: lat depth lon time
long_name :: Absorbance at 254 Nm
units :: 1





  
      Array  Chunk 
  
  
     Bytes  16.79 MB   397.90 kB 
     Shape  (4198731,)   (99474,) 
     Count  44 Tasks  43 Chunks 
     Type  float32  numpy.ndarray

nutnr_absorbance_at_350_nm

(time)

float32

dask.array<chunksize=(99474,), meta=np.ndarray>

comment :: Absorbance at 350 nm
coordinates :: lat depth lon time
long_name :: Absorbance at 350 Nm
units :: 1





  
      Array  Chunk 
  
  
     Bytes  16.79 MB   397.90 kB 
     Shape  (4198731,)   (99474,) 
     Count  44 Tasks  43 Chunks 
     Type  float32  numpy.ndarray

nutnr_bromide_trace

(time)

float32

dask.array<chunksize=(99474,), meta=np.ndarray>

comment :: Bromide Trace
coordinates :: lat depth lon time
long_name :: Bromide Trace
units :: mg/l





  
      Array  Chunk 
  
  
     Bytes  16.79 MB   397.90 kB 
     Shape  (4198731,)   (99474,) 
     Count  44 Tasks  43 Chunks 
     Type  float32  numpy.ndarray

nutnr_current_main

(time)

float32

dask.array<chunksize=(99474,), meta=np.ndarray>

comment :: Main Current
coordinates :: lat depth lon time
long_name :: Main Current
units :: mA





  
      Array  Chunk 
  
  
     Bytes  16.79 MB   397.90 kB 
     Shape  (4198731,)   (99474,) 
     Count  44 Tasks  43 Chunks 
     Type  float32  numpy.ndarray

nutnr_dark_value_used_for_fit

(time)

float32

dask.array<chunksize=(99474,), meta=np.ndarray>

comment :: Dark Value Used for Fit
coordinates :: lat depth lon time
long_name :: Dark Value Used for Fit
units :: 1





  
      Array  Chunk 
  
  
     Bytes  16.79 MB   397.90 kB 
     Shape  (4198731,)   (99474,) 
     Count  44 Tasks  43 Chunks 
     Type  float32  numpy.ndarray

nutnr_fit_base_1

(time)

float32

dask.array<chunksize=(99474,), meta=np.ndarray>

comment :: Fit Base 1
coordinates :: lat depth lon time
long_name :: Fit Base 1
units :: 1





  
      Array  Chunk 
  
  
     Bytes  16.79 MB   397.90 kB 
     Shape  (4198731,)   (99474,) 
     Count  44 Tasks  43 Chunks 
     Type  float32  numpy.ndarray

nutnr_fit_base_2

(time)

float32

dask.array<chunksize=(99474,), meta=np.ndarray>

comment :: Fit Base 2
coordinates :: lat depth lon time
long_name :: Fit Base 2
units :: 1





  
      Array  Chunk 
  
  
     Bytes  16.79 MB   397.90 kB 
     Shape  (4198731,)   (99474,) 
     Count  44 Tasks  43 Chunks 
     Type  float32  numpy.ndarray

nutnr_fit_rmse

(time)

float32

dask.array<chunksize=(99474,), meta=np.ndarray>

comment :: Fit RMSE
coordinates :: lat depth lon time
long_name :: Fit RMSE
units :: 1





  
      Array  Chunk 
  
  
     Bytes  16.79 MB   397.90 kB 
     Shape  (4198731,)   (99474,) 
     Count  44 Tasks  43 Chunks 
     Type  float32  numpy.ndarray

nutnr_integration_time_factor

(time)

float32

dask.array<chunksize=(99474,), meta=np.ndarray>

comment :: Integration Time Factor
coordinates :: lat depth lon time
long_name :: Integration Time Factor
units :: 1





  
      Array  Chunk 
  
  
     Bytes  16.79 MB   397.90 kB 
     Shape  (4198731,)   (99474,) 
     Count  44 Tasks  43 Chunks 
     Type  float32  numpy.ndarray

nutnr_nitrogen_in_nitrate

(time)

float32

dask.array<chunksize=(99474,), meta=np.ndarray>

comment :: Nitrogen in Nitrate
coordinates :: lat depth lon time
long_name :: Nitrogen in Nitrate
units :: mg/l





  
      Array  Chunk 
  
  
     Bytes  16.79 MB   397.90 kB 
     Shape  (4198731,)   (99474,) 
     Count  44 Tasks  43 Chunks 
     Type  float32  numpy.ndarray

nutnr_nitrogen_in_nitrate_qc_executed

(time)

uint8

dask.array<chunksize=(99474,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  4.20 MB   99.47 kB 
     Shape  (4198731,)   (99474,) 
     Count  44 Tasks  43 Chunks 
     Type  uint8  numpy.ndarray

nutnr_nitrogen_in_nitrate_qc_results

(time)

uint8

dask.array<chunksize=(99474,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  4.20 MB   99.47 kB 
     Shape  (4198731,)   (99474,) 
     Count  44 Tasks  43 Chunks 
     Type  uint8  numpy.ndarray

nutnr_spectrum_average

(time)

float32

dask.array<chunksize=(99474,), meta=np.ndarray>

comment :: Spectrum Average
coordinates :: lat depth lon time
long_name :: Spectrum Average
units :: 1





  
      Array  Chunk 
  
  
     Bytes  16.79 MB   397.90 kB 
     Shape  (4198731,)   (99474,) 
     Count  44 Tasks  43 Chunks 
     Type  float32  numpy.ndarray

nutnr_voltage_int

(time)

float32

dask.array<chunksize=(99474,), meta=np.ndarray>

comment :: Internal Power Supply Voltage
coordinates :: lat depth lon time
long_name :: Internal Power Supply Voltage
units :: V





  
      Array  Chunk 
  
  
     Bytes  16.79 MB   397.90 kB 
     Shape  (4198731,)   (99474,) 
     Count  44 Tasks  43 Chunks 
     Type  float32  numpy.ndarray

port_timestamp

(time)

float64

dask.array<chunksize=(99474,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  33.59 MB   795.79 kB 
     Shape  (4198731,)   (99474,) 
     Count  44 Tasks  43 Chunks 
     Type  float64  numpy.ndarray

spectral_channels

(time, wavelength)

float32

dask.array<chunksize=(99474, 256), meta=np.ndarray>

comment :: UV Absorption Spectra is an array of values produced by the NUTNR instrument class and is based on the ultraviolet (UV) absorption characteristics of the components of seawater, including dissolved nitrate.
coordinates :: lat depth lon time
data_product_identifier :: NITROPT_L0
long_name :: UV Absorption Spectra
precision :: 0
units :: counts





  
      Array  Chunk 
  
  
     Bytes  4.30 GB   101.86 MB 
     Shape  (4198731, 256)   (99474, 256) 
     Count  44 Tasks  43 Chunks 
     Type  float32  numpy.ndarray

temp_interior

(time)

float32

dask.array<chunksize=(99474,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  16.79 MB   397.90 kB 
     Shape  (4198731,)   (99474,) 
     Count  44 Tasks  43 Chunks 
     Type  float32  numpy.ndarray

temp_lamp

(time)

float32

dask.array<chunksize=(99474,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  16.79 MB   397.90 kB 
     Shape  (4198731,)   (99474,) 
     Count  44 Tasks  43 Chunks 
     Type  float32  numpy.ndarray

temp_spectrometer

(time)

float32

dask.array<chunksize=(99474,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  16.79 MB   397.90 kB 
     Shape  (4198731,)   (99474,) 
     Count  44 Tasks  43 Chunks 
     Type  float32  numpy.ndarray

time_of_sample

(time)

float64

dask.array<chunksize=(99474,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  33.59 MB   795.79 kB 
     Shape  (4198731,)   (99474,) 
     Count  44 Tasks  43 Chunks 
     Type  float64  numpy.ndarray

voltage_lamp

(time)

float32

dask.array<chunksize=(99474,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  16.79 MB   397.90 kB 
     Shape  (4198731,)   (99474,) 
     Count  44 Tasks  43 Chunks 
     Type  float32  numpy.ndarray

voltage_main

(time)

float32

dask.array<chunksize=(99474,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  16.79 MB   397.90 kB 
     Shape  (4198731,)   (99474,) 
     Count  44 Tasks  43 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 :
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 :
2020-11-25T09:29:43.654963
date_downloaded :
2020-11-25T09:19:46.958906
date_modified :
2020-11-25T09:29:43.654966
date_processed :
2020-11-25T09:47:02.182658
featureType :
point
geospatial_lat_max :
44.37415
geospatial_lat_min :
44.37415
geospatial_lat_resolution :
0.1
geospatial_lat_units :
degrees_north
geospatial_lon_max :
-124.95648
geospatial_lon_min :
-124.95648
geospatial_lon_resolution :
0.1
geospatial_lon_units :
degrees_east
geospatial_vertical_positive :
down
geospatial_vertical_resolution :
0.1
geospatial_vertical_units :
meters
history :
2020-11-25T09:29:43.654934 generated from Stream Engine
id :
CE04OSPS-SF01B-4A-NUTNRA102-streamed-nutnr_a_dark_sample
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 :
SF01B
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 :
4A-NUTNRA102
source :
CE04OSPS-SF01B-4A-NUTNRA102-streamed-nutnr_a_dark_sample
sourceUrl :
http://oceanobservatories.org/
standard_name_vocabulary :
NetCDF Climate and Forecast (CF) Metadata Convention Standard Name Table 29
stream :
nutnr_a_dark_sample
subsite :
CE04OSPS
summary :
Dataset Generated by Stream Engine from Ocean Observatories Initiative
time_coverage_end :
2016-07-01T19:00:23.134967
time_coverage_start :
2015-08-03T15:19:11.126818
title :
Data produced by Stream Engine version 1.18.0 for CE04OSPS-SF01B-4A-NUTNRA102-streamed-nutnr_a_dark_sample