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xarray.Dataset

Dimensions:
- reference_light_measurements_dim_0: 16
- spectrum: 92
- time: 30747

Coordinates: (3)

reference_light_measurements_dim_0
(reference_light_measurements_dim_0)
int32
0 1 2 3 4 5 6 ... 10 11 12 13 14 15
```
array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15],
      dtype=int32)
```

spectrum

(spectrum)

int32

0 1 2 3 4 5 6 ... 86 87 88 89 90 91

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, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,
       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,
       54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,
       72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89,
       90, 91], dtype=int32)

time
(time)
float64
3.607e+09 3.607e+09 ... 3.791e+09
axis :
T
calendar :
gregorian
long_name :
time
standard_name :
time
units :
seconds since 1900-01-01 0:0:0
```
array([3.606757e+09, 3.606768e+09, 3.606779e+09, ..., 3.790573e+09,
       3.790579e+09, 3.790584e+09])
```

Data variables: (16)

deployment

(time)

int32

dask.array<chunksize=(190,), meta=np.ndarray>

long_name :: Deployment Number
name :: deployment





  
      Array  Chunk 
  
  
     Bytes  122.99 kB   760 B 
     Shape  (30747,)   (190,) 
     Count  163 Tasks  162 Chunks 
     Type  int32  numpy.ndarray

driver_timestamp

(time)

float64

dask.array<chunksize=(190,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  245.98 kB   1.52 kB 
     Shape  (30747,)   (190,) 
     Count  163 Tasks  162 Chunks 
     Type  float64  numpy.ndarray

ingestion_timestamp

(time)

float64

dask.array<chunksize=(190,), 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  245.98 kB   1.52 kB 
     Shape  (30747,)   (190,) 
     Count  163 Tasks  162 Chunks 
     Type  float64  numpy.ndarray

internal_timestamp

(time)

float64

dask.array<chunksize=(190,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  245.98 kB   1.52 kB 
     Shape  (30747,)   (190,) 
     Count  163 Tasks  162 Chunks 
     Type  float64  numpy.ndarray

light_measurements

(time, spectrum)

float32

dask.array<chunksize=(190, 92), meta=np.ndarray>

coordinates :: time lat lon
long_name :: Light Measurements
precision :: 0
units :: counts





  
      Array  Chunk 
  
  
     Bytes  11.31 MB   69.92 kB 
     Shape  (30747, 92)   (190, 92) 
     Count  163 Tasks  162 Chunks 
     Type  float32  numpy.ndarray

phsen_abcdef_ph_seawater

(time)

float64

dask.array<chunksize=(190,), meta=np.ndarray>

ancillary_variables :: phsen_thermistor_temperature light_measurements reference_light_measurements
comment :: pH is a measurement of the concentration of hydrogen ions in a solution. pH ranges from acidic to basic on a scale from 0 to 14 with 7 being neutral.
coordinates :: time lat lon
data_product_identifier :: PHWATER_L1
long_name :: pH
precision :: 4
standard_name :: sea_water_ph_reported_on_total_scale
units :: 1





  
      Array  Chunk 
  
  
     Bytes  245.98 kB   1.52 kB 
     Shape  (30747,)   (190,) 
     Count  163 Tasks  162 Chunks 
     Type  float64  numpy.ndarray

phsen_abcdef_ph_seawater_qc_executed

(time)

uint8

dask.array<chunksize=(190,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  30.75 kB   190 B 
     Shape  (30747,)   (190,) 
     Count  163 Tasks  162 Chunks 
     Type  uint8  numpy.ndarray

phsen_abcdef_ph_seawater_qc_results

(time)

uint8

dask.array<chunksize=(190,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  30.75 kB   190 B 
     Shape  (30747,)   (190,) 
     Count  163 Tasks  162 Chunks 
     Type  uint8  numpy.ndarray

phsen_thermistor_temperature

(time)

float64

dask.array<chunksize=(190,), meta=np.ndarray>

ancillary_variables :: thermistor_end
comment :: Thermistor Temperature refers to the internal instrument temperature of the pH sensor, as measured by the thermistor (in volts). It is used to determine salinity and temperature dependent molar absorptivities in the seawater sample in order to make an accurate pH estimation.
coordinates :: time lat lon
data_product_identifier :: ABSTHRM_L1
long_name :: Thermistor Temperature at End of Measurement
precision :: 4
units :: V





  
      Array  Chunk 
  
  
     Bytes  245.98 kB   1.52 kB 
     Shape  (30747,)   (190,) 
     Count  163 Tasks  162 Chunks 
     Type  float64  numpy.ndarray

port_timestamp

(time)

float64

dask.array<chunksize=(190,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  245.98 kB   1.52 kB 
     Shape  (30747,)   (190,) 
     Count  163 Tasks  162 Chunks 
     Type  float64  numpy.ndarray

record_time

(time)

float64

dask.array<chunksize=(190,), meta=np.ndarray>

comment :: Time of control record in seconds since January 1, 1904.
coordinates :: time lat lon
long_name :: Record Time, UTC
precision :: 0
units :: seconds since 1904-01-01





  
      Array  Chunk 
  
  
     Bytes  245.98 kB   1.52 kB 
     Shape  (30747,)   (190,) 
     Count  163 Tasks  162 Chunks 
     Type  float64  numpy.ndarray

record_type

(time)

float32

dask.array<chunksize=(190,), meta=np.ndarray>

comment :: Record type
coordinates :: time lat lon
long_name :: Record Type
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  122.99 kB   760 B 
     Shape  (30747,)   (190,) 
     Count  163 Tasks  162 Chunks 
     Type  float32  numpy.ndarray

reference_light_measurements

(time, reference_light_measurements_dim_0)

float32

dask.array<chunksize=(190, 16), meta=np.ndarray>

comment :: Array of reference light measurements
coordinates :: time lat lon
long_name :: Array of Reference Light Measurements
precision :: 0
units :: counts





  
      Array  Chunk 
  
  
     Bytes  1.97 MB   12.16 kB 
     Shape  (30747, 16)   (190, 16) 
     Count  163 Tasks  162 Chunks 
     Type  float32  numpy.ndarray

thermistor_end

(time)

float32

dask.array<chunksize=(190,), meta=np.ndarray>

comment :: Thermistor resistivity with a DC volt range of 0 to 5
coordinates :: time lat lon
long_name :: Thermistor Resistivity at End of Measurement
precision :: 0
units :: counts





  
      Array  Chunk 
  
  
     Bytes  122.99 kB   760 B 
     Shape  (30747,)   (190,) 
     Count  163 Tasks  162 Chunks 
     Type  float32  numpy.ndarray

thermistor_start

(time)

float32

dask.array<chunksize=(190,), meta=np.ndarray>

comment :: Starting thermistor value
coordinates :: time lat lon
long_name :: Thermistor Resistivity at Start of Measurement
precision :: 0
units :: counts





  
      Array  Chunk 
  
  
     Bytes  122.99 kB   760 B 
     Shape  (30747,)   (190,) 
     Count  163 Tasks  162 Chunks 
     Type  float32  numpy.ndarray

voltage_battery

(time)

float32

dask.array<chunksize=(190,), meta=np.ndarray>

comment :: Battery voltage in counts.
coordinates :: time lat lon
long_name :: Voltage Battery
precision :: 0
units :: counts





  
      Array  Chunk 
  
  
     Bytes  122.99 kB   760 B 
     Shape  (30747,)   (190,) 
     Count  163 Tasks  162 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 :
2020-11-24T22:27:31.038890
date_downloaded :
2020-11-24T22:25:31.012840
date_modified :
2020-11-24T22:27:31.038893
date_processed :
2020-11-24T22:29:52.349836
featureType :
point
geospatial_lat_max :
44.65828
geospatial_lat_min :
44.65828
geospatial_lat_resolution :
0.1
geospatial_lat_units :
degrees_north
geospatial_lon_max :
-124.0956
geospatial_lon_min :
-124.0956
geospatial_lon_resolution :
0.1
geospatial_lon_units :
degrees_east
geospatial_vertical_positive :
down
geospatial_vertical_resolution :
0.1
geospatial_vertical_units :
meters
history :
2020-11-24T22:27:31.038850 generated from Stream Engine
id :
CE01ISSM-MFD35-06-PHSEND000-recovered_inst-phsen_abcdef_instrument
infoUrl :
http://oceanobservatories.org/
institution :
Ocean Observatories Initiative
keywords :
keywords_vocabulary :
lat :
44.65828
license :
lon :
-124.0956
naming_authority :
org.oceanobservatories
nodc_template_version :
NODC_NetCDF_TimeSeries_Orthogonal_Template_v1.1
node :
MFD35
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 :
06-PHSEND000
source :
CE01ISSM-MFD35-06-PHSEND000-recovered_inst-phsen_abcdef_instrument
sourceUrl :
http://oceanobservatories.org/
standard_name_vocabulary :
NetCDF Climate and Forecast (CF) Metadata Convention Standard Name Table 29
stream :
phsen_abcdef_instrument
subsite :
CE01ISSM
summary :
Dataset Generated by Stream Engine from Ocean Observatories Initiative
time_coverage_end :
2014-05-10T19:01:40
time_coverage_start :
2014-04-17T21:01:28
title :
Data produced by Stream Engine version 1.18.0 for CE01ISSM-MFD35-06-PHSEND000-recovered_inst-phsen_abcdef_instrument