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xarray.Dataset

Dimensions:
- time: 97705466
Coordinates: (1)
- time
  (time)
  float64
  3.622e+09 3.622e+09 ... 3.779e+09
  axis :
  T
  calendar :
  gregorian
  long_name :
  time
  standard_name :
  time
  units :
  seconds since 1900-01-01 0:0:0
```
array([3.621593e+09, 3.621593e+09, 3.621593e+09, ..., 3.778599e+09,
       3.778599e+09, 3.778599e+09])
```

Data variables: (33)

deployment

(time)

int32

dask.array<chunksize=(10485760,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  390.82 MB   41.94 MB 
     Shape  (97705466,)   (10485760,) 
     Count  11 Tasks  10 Chunks 
     Type  int32  numpy.ndarray

driver_timestamp

(time)

float64

dask.array<chunksize=(10485760,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  781.64 MB   83.89 MB 
     Shape  (97705466,)   (10485760,) 
     Count  11 Tasks  10 Chunks 
     Type  float64  numpy.ndarray

fluorometric_cdom

(time)

float64

dask.array<chunksize=(10485760,), meta=np.ndarray>

ancillary_variables :: raw_signal_cdom
comment :: Fluorometric CDOM Concentration is a measure of how much light has been re-emitted (fluoresced) from colored organic compounds found in the colored dissolved organic matter (CDOM) in seawater. Examples of CDOM include tannins (polyphenols that bind to proteins and other large molecules) or lignins (polymers of phenolic acids) from decaying plant material and byproducts from the decomposition of animals. It accounts for the tea-like color in seawater. CDOM is not particulate, but seawater can contain both CDOM and turbidity.
coordinates :: lat pressure lon time
data_product_identifier :: CDOMFLO_L1
long_name :: CDOM Concentration
precision :: 6
units :: ppb





  
      Array  Chunk 
  
  
     Bytes  781.64 MB   83.89 MB 
     Shape  (97705466,)   (10485760,) 
     Count  11 Tasks  10 Chunks 
     Type  float64  numpy.ndarray

fluorometric_cdom_qc_executed

(time)

uint8

dask.array<chunksize=(10485760,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  97.71 MB   10.49 MB 
     Shape  (97705466,)   (10485760,) 
     Count  11 Tasks  10 Chunks 
     Type  uint8  numpy.ndarray

fluorometric_cdom_qc_results

(time)

uint8

dask.array<chunksize=(10485760,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  97.71 MB   10.49 MB 
     Shape  (97705466,)   (10485760,) 
     Count  11 Tasks  10 Chunks 
     Type  uint8  numpy.ndarray

fluorometric_chlorophyll_a

(time)

float64

dask.array<chunksize=(10485760,), meta=np.ndarray>

ancillary_variables :: raw_signal_chl
comment :: Fluorometric Chlorophyll-a Concentration is an estimate of phytoplankton biomass using fluorescence. The fluorometer emits light at a specific wavelength that is absorbed by chlorophyll and re-emitted as light at a different wavelength. By measuring the intensity of the re-emitted wavelength of light the chlorophyll-a concentration in the surrounding seawater can be estimated. Chlorophyll-a concentrations can be used as a proxy for phytoplankton biomass as it is a dominant photosynthetic pigment.
coordinates :: lat pressure lon time
data_product_identifier :: CHLAFLO_L1
long_name :: Chlorophyll-a Concentration
precision :: 6
standard_name :: mass_concentration_of_chlorophyll_a_in_sea_water
units :: µg L-1





  
      Array  Chunk 
  
  
     Bytes  781.64 MB   83.89 MB 
     Shape  (97705466,)   (10485760,) 
     Count  11 Tasks  10 Chunks 
     Type  float64  numpy.ndarray

fluorometric_chlorophyll_a_qc_executed

(time)

uint8

dask.array<chunksize=(10485760,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  97.71 MB   10.49 MB 
     Shape  (97705466,)   (10485760,) 
     Count  11 Tasks  10 Chunks 
     Type  uint8  numpy.ndarray

fluorometric_chlorophyll_a_qc_results

(time)

uint8

dask.array<chunksize=(10485760,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  97.71 MB   10.49 MB 
     Shape  (97705466,)   (10485760,) 
     Count  11 Tasks  10 Chunks 
     Type  uint8  numpy.ndarray

ingestion_timestamp

(time)

float64

dask.array<chunksize=(10485760,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  781.64 MB   83.89 MB 
     Shape  (97705466,)   (10485760,) 
     Count  11 Tasks  10 Chunks 
     Type  float64  numpy.ndarray

internal_timestamp

(time)

float64

dask.array<chunksize=(10485760,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  781.64 MB   83.89 MB 
     Shape  (97705466,)   (10485760,) 
     Count  11 Tasks  10 Chunks 
     Type  float64  numpy.ndarray

measurement_wavelength_beta

(time)

float32

dask.array<chunksize=(10485760,), meta=np.ndarray>

comment :: Wavelength used by sensor for its scattering measurement.
coordinates :: lat pressure lon time
long_name :: Measurement Wavelength, Scattering
units :: nm





  
      Array  Chunk 
  
  
     Bytes  390.82 MB   41.94 MB 
     Shape  (97705466,)   (10485760,) 
     Count  11 Tasks  10 Chunks 
     Type  float32  numpy.ndarray

measurement_wavelength_cdom

(time)

float32

dask.array<chunksize=(10485760,), meta=np.ndarray>

comment :: Wavelength used by sensor for its cdom measurement.
coordinates :: lat pressure lon time
long_name :: Measurement Wavelength, CDOM
units :: nm





  
      Array  Chunk 
  
  
     Bytes  390.82 MB   41.94 MB 
     Shape  (97705466,)   (10485760,) 
     Count  11 Tasks  10 Chunks 
     Type  float32  numpy.ndarray

measurement_wavelength_chl

(time)

float32

dask.array<chunksize=(10485760,), meta=np.ndarray>

comment :: Wavelength used by sensor for its chlorophyll measurement .
coordinates :: lat pressure lon time
long_name :: Measurement Wavelength, Chlorophyll
units :: nm





  
      Array  Chunk 
  
  
     Bytes  390.82 MB   41.94 MB 
     Shape  (97705466,)   (10485760,) 
     Count  11 Tasks  10 Chunks 
     Type  float32  numpy.ndarray

optical_backscatter

(time)

float64

dask.array<chunksize=(10485760,), meta=np.ndarray>

ancillary_variables :: total_volume_scattering_coefficient seawater_temperature practical_salinity
comment :: Optical Backscatter (Red Wavelengths) is a measure of the amount of red light (630-740 nm wavelengths) scattered in the backward direction due to suspended matter within seawater, providing a proxy for turbidity and suspended solids.
coordinates :: lat pressure lon time
data_product_identifier :: FLUBSCT_L2
long_name :: Optical Backscatter
precision :: 4
units :: m-1





  
      Array  Chunk 
  
  
     Bytes  781.64 MB   83.89 MB 
     Shape  (97705466,)   (10485760,) 
     Count  11 Tasks  10 Chunks 
     Type  float64  numpy.ndarray

optical_backscatter_qc_executed

(time)

uint8

dask.array<chunksize=(10485760,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  97.71 MB   10.49 MB 
     Shape  (97705466,)   (10485760,) 
     Count  11 Tasks  10 Chunks 
     Type  uint8  numpy.ndarray

optical_backscatter_qc_results

(time)

uint8

dask.array<chunksize=(10485760,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  97.71 MB   10.49 MB 
     Shape  (97705466,)   (10485760,) 
     Count  11 Tasks  10 Chunks 
     Type  uint8  numpy.ndarray

port_timestamp

(time)

float64

dask.array<chunksize=(10485760,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  781.64 MB   83.89 MB 
     Shape  (97705466,)   (10485760,) 
     Count  11 Tasks  10 Chunks 
     Type  float64  numpy.ndarray

practical_salinity

(time)

float64

dask.array<chunksize=(10485760,), 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 :: lat pressure lon time
data_product_identifier :: PRACSAL_L2
instrument :: RS01SBPS-SF01A-2A-CTDPFA102
long_name :: Practical Salinity
precision :: 4
standard_name :: sea_water_practical_salinity
stream :: ctdpf_sbe43_sample
units :: 1





  
      Array  Chunk 
  
  
     Bytes  781.64 MB   83.89 MB 
     Shape  (97705466,)   (10485760,) 
     Count  11 Tasks  10 Chunks 
     Type  float64  numpy.ndarray

raw_internal_temp

(time)

float32

dask.array<chunksize=(10485760,), meta=np.ndarray>

comment :: Raw internal instrument thermistor signal output.
coordinates :: lat pressure lon time
long_name :: Raw Internal Temperature
units :: counts





  
      Array  Chunk 
  
  
     Bytes  390.82 MB   41.94 MB 
     Shape  (97705466,)   (10485760,) 
     Count  11 Tasks  10 Chunks 
     Type  float32  numpy.ndarray

raw_signal_beta

(time)

float32

dask.array<chunksize=(10485760,), meta=np.ndarray>

comment :: Optical backscatter unprocessed measurement output from the sensor.
coordinates :: lat pressure lon time
data_product_identifier :: FLUBSCT_L0
long_name :: Optical Backscatter Measurement
units :: counts





  
      Array  Chunk 
  
  
     Bytes  390.82 MB   41.94 MB 
     Shape  (97705466,)   (10485760,) 
     Count  11 Tasks  10 Chunks 
     Type  float32  numpy.ndarray

raw_signal_cdom

(time)

float32

dask.array<chunksize=(10485760,), meta=np.ndarray>

comment :: Fluorometric CDOM unprocessed measurement output from the sensor.
coordinates :: lat pressure lon time
data_product_identifier :: CDOMFLO_L0
long_name :: CDOM Measurement
units :: counts





  
      Array  Chunk 
  
  
     Bytes  390.82 MB   41.94 MB 
     Shape  (97705466,)   (10485760,) 
     Count  11 Tasks  10 Chunks 
     Type  float32  numpy.ndarray

raw_signal_chl

(time)

float32

dask.array<chunksize=(10485760,), meta=np.ndarray>

comment :: Fluorometric chlorophyll-a unprocessed measurement output from the sensor.
coordinates :: lat pressure lon time
data_product_identifier :: CHLAFLO_L0
long_name :: Chlorophyll-a Measurement
units :: counts





  
      Array  Chunk 
  
  
     Bytes  390.82 MB   41.94 MB 
     Shape  (97705466,)   (10485760,) 
     Count  11 Tasks  10 Chunks 
     Type  float32  numpy.ndarray

seawater_scattering_coefficient

(time)

float64

dask.array<chunksize=(10485760,), meta=np.ndarray>

ancillary_variables :: seawater_temperature practical_salinity
comment :: Total scattering coefficient of pure seawater.
coordinates :: lat pressure lon time
long_name :: Total Scattering Coefficient of Pure Seawater
precision :: 4
units :: m-1





  
      Array  Chunk 
  
  
     Bytes  781.64 MB   83.89 MB 
     Shape  (97705466,)   (10485760,) 
     Count  11 Tasks  10 Chunks 
     Type  float64  numpy.ndarray

seawater_temperature

(time)

float64

dask.array<chunksize=(10485760,), meta=np.ndarray>

comment :: Seawater temperature near the sensor.
coordinates :: lat pressure lon time
data_product_identifier :: TEMPWAT_L1
instrument :: RS01SBPS-SF01A-2A-CTDPFA102
long_name :: Seawater Temperature
precision :: 4
standard_name :: sea_water_temperature
stream :: ctdpf_sbe43_sample
units :: degree_C





  
      Array  Chunk 
  
  
     Bytes  781.64 MB   83.89 MB 
     Shape  (97705466,)   (10485760,) 
     Count  11 Tasks  10 Chunks 
     Type  float64  numpy.ndarray

signal_1_offset

(time)

float32

dask.array<chunksize=(10485760,), meta=np.ndarray>

coordinates :: lat pressure lon time
long_name :: Signal 1 (Scattering) Offset
units :: counts





  
      Array  Chunk 
  
  
     Bytes  390.82 MB   41.94 MB 
     Shape  (97705466,)   (10485760,) 
     Count  11 Tasks  10 Chunks 
     Type  float32  numpy.ndarray

signal_1_scale_factor

(time)

float32

dask.array<chunksize=(10485760,), meta=np.ndarray>

coordinates :: lat pressure lon time
long_name :: Signal 1 (Scattering) Scale Factor
precision :: 2
units :: m-1 sr-1 counts-1





  
      Array  Chunk 
  
  
     Bytes  390.82 MB   41.94 MB 
     Shape  (97705466,)   (10485760,) 
     Count  11 Tasks  10 Chunks 
     Type  float32  numpy.ndarray

signal_2_offset

(time)

float32

dask.array<chunksize=(10485760,), meta=np.ndarray>

coordinates :: lat pressure lon time
long_name :: Signal 2 (Chlorophyll) Offset
units :: counts





  
      Array  Chunk 
  
  
     Bytes  390.82 MB   41.94 MB 
     Shape  (97705466,)   (10485760,) 
     Count  11 Tasks  10 Chunks 
     Type  float32  numpy.ndarray

signal_2_scale_factor

(time)

float32

dask.array<chunksize=(10485760,), meta=np.ndarray>

coordinates :: lat pressure lon time
long_name :: Signal 2 (Chlorophyll) Scale Factor
precision :: 2
units :: ug L-1 counts-1





  
      Array  Chunk 
  
  
     Bytes  390.82 MB   41.94 MB 
     Shape  (97705466,)   (10485760,) 
     Count  11 Tasks  10 Chunks 
     Type  float32  numpy.ndarray

signal_3_offset

(time)

float32

dask.array<chunksize=(10485760,), meta=np.ndarray>

coordinates :: lat pressure lon time
long_name :: Signal 3 (CDOM) Offset
units :: counts





  
      Array  Chunk 
  
  
     Bytes  390.82 MB   41.94 MB 
     Shape  (97705466,)   (10485760,) 
     Count  11 Tasks  10 Chunks 
     Type  float32  numpy.ndarray

signal_3_scale_factor

(time)

float32

dask.array<chunksize=(10485760,), meta=np.ndarray>

coordinates :: lat pressure lon time
long_name :: Signal 3 (CDOM) Scale Factor
precision :: 2
units :: ppb counts-1





  
      Array  Chunk 
  
  
     Bytes  390.82 MB   41.94 MB 
     Shape  (97705466,)   (10485760,) 
     Count  11 Tasks  10 Chunks 
     Type  float32  numpy.ndarray

total_volume_scattering_coefficient

(time)

float64

dask.array<chunksize=(10485760,), meta=np.ndarray>

ancillary_variables :: raw_signal_beta
comment :: Total Volume Scattering Coefficient values represent the volume scattering from particles and the molecular scattering from water at a given wavelength of light and the default angle of 117 degrees for the ECO meter.
coordinates :: lat pressure lon time
data_product_identifier :: FLUBSCT_L1
long_name :: Total Volume Scattering Coefficient
precision :: 6
units :: m-1 sr-1





  
      Array  Chunk 
  
  
     Bytes  781.64 MB   83.89 MB 
     Shape  (97705466,)   (10485760,) 
     Count  11 Tasks  10 Chunks 
     Type  float64  numpy.ndarray

total_volume_scattering_coefficient_qc_executed

(time)

uint8

dask.array<chunksize=(10485760,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  97.71 MB   10.49 MB 
     Shape  (97705466,)   (10485760,) 
     Count  11 Tasks  10 Chunks 
     Type  uint8  numpy.ndarray

total_volume_scattering_coefficient_qc_results

(time)

uint8

dask.array<chunksize=(10485760,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  97.71 MB   10.49 MB 
     Shape  (97705466,)   (10485760,) 
     Count  11 Tasks  10 Chunks 
     Type  uint8  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 :
2020-08-11T09:16:38.059370
date_downloaded :
2020-10-08T23:03:42.585657
date_modified :
2020-08-11T09:16:38.059377
date_processed :
2020-10-08T23:07:42.571700
featureType :
point
geospatial_lat_max :
44.52897
geospatial_lat_min :
44.52897
geospatial_lat_resolution :
0.1
geospatial_lat_units :
degrees_north
geospatial_lon_max :
-125.38937
geospatial_lon_min :
-125.38937
geospatial_lon_resolution :
0.1
geospatial_lon_units :
degrees_east
geospatial_vertical_positive :
down
geospatial_vertical_resolution :
0.1
geospatial_vertical_units :
meters
history :
2020-08-11T09:16:38.059303 generated from Stream Engine
id :
RS01SBPS-SF01A-3A-FLORTD101-streamed-flort_d_data_record
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 :
SF01A
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 :
3A-FLORTD101
source :
RS01SBPS-SF01A-3A-FLORTD101-streamed-flort_d_data_record
sourceUrl :
http://oceanobservatories.org/
standard_name_vocabulary :
NetCDF Climate and Forecast (CF) Metadata Convention Standard Name Table 29
stream :
flort_d_data_record
subsite :
RS01SBPS
summary :
Dataset Generated by Stream Engine from Ocean Observatories Initiative
time_coverage_end :
2015-03-02T23:59:59
time_coverage_start :
2014-10-06T14:10:13
title :
Data produced by Stream Engine version 1.15.0 for RS01SBPS-SF01A-3A-FLORTD101-streamed-flort_d_data_record