Show/Hide data repr

xarray.Dataset

Dimensions:
- time: 285578
- wavelength: 256
Coordinates: (2)
- time
  (time)
  float64
  3.637e+09 3.637e+09 ... 3.732e+09
  axis :
  T
  calendar :
  gregorian
  long_name :
  time
  standard_name :
  time
  units :
  seconds since 1900-01-01 0:0:0
```
array([3.636995e+09, 3.636995e+09, 3.636995e+09, ..., 3.731837e+09,
       3.731837e+09, 3.731837e+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: (32)

aux_fitting_1

(time)

float32

dask.array<chunksize=(29958,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  1.14 MB   119.83 kB 
     Shape  (285578,)   (29958,) 
     Count  11 Tasks  10 Chunks 
     Type  float32  numpy.ndarray

aux_fitting_2

(time)

float32

dask.array<chunksize=(29958,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  1.14 MB   119.83 kB 
     Shape  (285578,)   (29958,) 
     Count  11 Tasks  10 Chunks 
     Type  float32  numpy.ndarray

aux_fitting_3

(time)

float32

dask.array<chunksize=(29958,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  1.14 MB   119.83 kB 
     Shape  (285578,)   (29958,) 
     Count  11 Tasks  10 Chunks 
     Type  float32  numpy.ndarray

date_of_sample

(time)

float64

dask.array<chunksize=(29958,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  2.28 MB   239.66 kB 
     Shape  (285578,)   (29958,) 
     Count  11 Tasks  10 Chunks 
     Type  float64  numpy.ndarray

deployment

(time)

int32

dask.array<chunksize=(29958,), meta=np.ndarray>

long_name :: Deployment Number
name :: deployment





  
      Array  Chunk 
  
  
     Bytes  1.14 MB   119.83 kB 
     Shape  (285578,)   (29958,) 
     Count  11 Tasks  10 Chunks 
     Type  int32  numpy.ndarray

driver_timestamp

(time)

float64

dask.array<chunksize=(29958,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  2.28 MB   239.66 kB 
     Shape  (285578,)   (29958,) 
     Count  11 Tasks  10 Chunks 
     Type  float64  numpy.ndarray

humidity

(time)

float32

dask.array<chunksize=(29958,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  1.14 MB   119.83 kB 
     Shape  (285578,)   (29958,) 
     Count  11 Tasks  10 Chunks 
     Type  float32  numpy.ndarray

ingestion_timestamp

(time)

float64

dask.array<chunksize=(29958,), 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  2.28 MB   239.66 kB 
     Shape  (285578,)   (29958,) 
     Count  11 Tasks  10 Chunks 
     Type  float64  numpy.ndarray

internal_timestamp

(time)

float64

dask.array<chunksize=(29958,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  2.28 MB   239.66 kB 
     Shape  (285578,)   (29958,) 
     Count  11 Tasks  10 Chunks 
     Type  float64  numpy.ndarray

lamp_time

(time)

float64

dask.array<chunksize=(29958,), 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  2.28 MB   239.66 kB 
     Shape  (285578,)   (29958,) 
     Count  11 Tasks  10 Chunks 
     Type  float64  numpy.ndarray

nitrate_concentration

(time)

float32

dask.array<chunksize=(29958,), 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  1.14 MB   119.83 kB 
     Shape  (285578,)   (29958,) 
     Count  11 Tasks  10 Chunks 
     Type  float32  numpy.ndarray

nitrate_concentration_qc_executed

(time)

uint8

dask.array<chunksize=(29958,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  285.58 kB   29.96 kB 
     Shape  (285578,)   (29958,) 
     Count  11 Tasks  10 Chunks 
     Type  uint8  numpy.ndarray

nitrate_concentration_qc_results

(time)

uint8

dask.array<chunksize=(29958,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  285.58 kB   29.96 kB 
     Shape  (285578,)   (29958,) 
     Count  11 Tasks  10 Chunks 
     Type  uint8  numpy.ndarray

port_timestamp

(time)

float64

dask.array<chunksize=(29958,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  2.28 MB   239.66 kB 
     Shape  (285578,)   (29958,) 
     Count  11 Tasks  10 Chunks 
     Type  float64  numpy.ndarray

practical_salinity

(time)

float64

dask.array<chunksize=(29958,), meta=np.ndarray>

comment :: Salinity is generally defined as the concentration of dissolved salt in a parcel of seawater. Practical Salinity is a more specific unitless quantity calculated from the conductivity of seawater and adjusted for temperature and pressure. It is approximately equivalent to Absolute Salinity (the mass fraction of dissolved salt in seawater) but they are not interchangeable.
coordinates :: time lat lon
data_product_identifier :: PRACSAL_L2
instrument :: CE02SHSM-RID27-03-CTDBPC000
long_name :: Practical Salinity
precision :: 4
standard_name :: sea_water_practical_salinity
stream :: ctdbp_cdef_dcl_instrument_recovered
units :: 1





  
      Array  Chunk 
  
  
     Bytes  2.28 MB   239.66 kB 
     Shape  (285578,)   (29958,) 
     Count  11 Tasks  10 Chunks 
     Type  float64  numpy.ndarray

ref_channel_average

(time)

float32

dask.array<chunksize=(29958,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  1.14 MB   119.83 kB 
     Shape  (285578,)   (29958,) 
     Count  11 Tasks  10 Chunks 
     Type  float32  numpy.ndarray

ref_channel_variance

(time)

float32

dask.array<chunksize=(29958,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  1.14 MB   119.83 kB 
     Shape  (285578,)   (29958,) 
     Count  11 Tasks  10 Chunks 
     Type  float32  numpy.ndarray

rms_error

(time)

float32

dask.array<chunksize=(29958,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  1.14 MB   119.83 kB 
     Shape  (285578,)   (29958,) 
     Count  11 Tasks  10 Chunks 
     Type  float32  numpy.ndarray

salinity_corrected_nitrate

(time)

float64

dask.array<chunksize=(29958,), meta=np.ndarray>

ancillary_variables :: temp frame_type spectral_channels practical_salinity sea_water_dark
comment :: Temperature and salinity corrected dissolved nitrate concentration.
coordinates :: time lat lon
data_product_identifier :: NITRTSC_L2
long_name :: Nitrate Concentration - Temp and Sal Corrected
units :: µmol L-1





  
      Array  Chunk 
  
  
     Bytes  2.28 MB   239.66 kB 
     Shape  (285578,)   (29958,) 
     Count  11 Tasks  10 Chunks 
     Type  float64  numpy.ndarray

salinity_corrected_nitrate_qc_executed

(time)

uint8

dask.array<chunksize=(29958,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  285.58 kB   29.96 kB 
     Shape  (285578,)   (29958,) 
     Count  11 Tasks  10 Chunks 
     Type  uint8  numpy.ndarray

salinity_corrected_nitrate_qc_results

(time)

uint8

dask.array<chunksize=(29958,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  285.58 kB   29.96 kB 
     Shape  (285578,)   (29958,) 
     Count  11 Tasks  10 Chunks 
     Type  uint8  numpy.ndarray

sea_water_dark

(time)

float32

dask.array<chunksize=(29958,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  1.14 MB   119.83 kB 
     Shape  (285578,)   (29958,) 
     Count  11 Tasks  10 Chunks 
     Type  float32  numpy.ndarray

spec_channel_average

(time)

float32

dask.array<chunksize=(29958,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  1.14 MB   119.83 kB 
     Shape  (285578,)   (29958,) 
     Count  11 Tasks  10 Chunks 
     Type  float32  numpy.ndarray

spectral_channels

(time, wavelength)

float32

dask.array<chunksize=(29958, 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 :: time lat lon
data_product_identifier :: NITROPT_L0
long_name :: UV Absorption Spectra
precision :: 0
units :: counts





  
      Array  Chunk 
  
  
     Bytes  292.43 MB   30.68 MB 
     Shape  (285578, 256)   (29958, 256) 
     Count  11 Tasks  10 Chunks 
     Type  float32  numpy.ndarray

temp

(time)

float64

dask.array<chunksize=(29958,), meta=np.ndarray>

comment :: Seawater temperature near the sensor.
coordinates :: time lat lon
data_product_identifier :: TEMPWAT_L1
instrument :: CE02SHSM-RID27-03-CTDBPC000
long_name :: Seawater Temperature
precision :: 4
standard_name :: sea_water_temperature
stream :: ctdbp_cdef_dcl_instrument_recovered
units :: degree_C





  
      Array  Chunk 
  
  
     Bytes  2.28 MB   239.66 kB 
     Shape  (285578,)   (29958,) 
     Count  11 Tasks  10 Chunks 
     Type  float64  numpy.ndarray

temp_interior

(time)

float32

dask.array<chunksize=(29958,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  1.14 MB   119.83 kB 
     Shape  (285578,)   (29958,) 
     Count  11 Tasks  10 Chunks 
     Type  float32  numpy.ndarray

temp_lamp

(time)

float32

dask.array<chunksize=(29958,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  1.14 MB   119.83 kB 
     Shape  (285578,)   (29958,) 
     Count  11 Tasks  10 Chunks 
     Type  float32  numpy.ndarray

temp_spectrometer

(time)

float32

dask.array<chunksize=(29958,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  1.14 MB   119.83 kB 
     Shape  (285578,)   (29958,) 
     Count  11 Tasks  10 Chunks 
     Type  float32  numpy.ndarray

time_of_sample

(time)

float64

dask.array<chunksize=(29958,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  2.28 MB   239.66 kB 
     Shape  (285578,)   (29958,) 
     Count  11 Tasks  10 Chunks 
     Type  float64  numpy.ndarray

voltage_analog

(time)

float32

dask.array<chunksize=(29958,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  1.14 MB   119.83 kB 
     Shape  (285578,)   (29958,) 
     Count  11 Tasks  10 Chunks 
     Type  float32  numpy.ndarray

voltage_lamp

(time)

float32

dask.array<chunksize=(29958,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  1.14 MB   119.83 kB 
     Shape  (285578,)   (29958,) 
     Count  11 Tasks  10 Chunks 
     Type  float32  numpy.ndarray

voltage_main

(time)

float32

dask.array<chunksize=(29958,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  1.14 MB   119.83 kB 
     Shape  (285578,)   (29958,) 
     Count  11 Tasks  10 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 :
2020-11-25T03:17:57.192654
date_downloaded :
2020-11-25T02:59:36.460877
date_modified :
2020-11-25T03:17:57.192660
date_processed :
2020-11-25T03:21:33.860929
featureType :
point
geospatial_lat_max :
44.63833
geospatial_lat_min :
44.63833
geospatial_lat_resolution :
0.1
geospatial_lat_units :
degrees_north
geospatial_lon_max :
-124.30388
geospatial_lon_min :
-124.30388
geospatial_lon_resolution :
0.1
geospatial_lon_units :
degrees_east
geospatial_vertical_positive :
down
geospatial_vertical_resolution :
0.1
geospatial_vertical_units :
meters
history :
2020-11-25T03:17:57.192573 generated from Stream Engine
id :
CE02SHSM-RID26-07-NUTNRB000-recovered_inst-nutnr_b_instrument_recovered
infoUrl :
http://oceanobservatories.org/
institution :
Ocean Observatories Initiative
keywords :
keywords_vocabulary :
lat :
44.63833
license :
lon :
-124.30388
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 :
CE02SHSM-RID26-07-NUTNRB000-recovered_inst-nutnr_b_instrument_recovered
sourceUrl :
http://oceanobservatories.org/
standard_name_vocabulary :
NetCDF Climate and Forecast (CF) Metadata Convention Standard Name Table 29
stream :
nutnr_b_instrument_recovered
subsite :
CE02SHSM
summary :
Dataset Generated by Stream Engine from Ocean Observatories Initiative
time_coverage_end :
2015-06-20T00:30:42
time_coverage_start :
2015-04-02T20:30:32
title :
Data produced by Stream Engine version 1.18.0 for CE02SHSM-RID26-07-NUTNRB000-recovered_inst-nutnr_b_instrument_recovered