Show/Hide data repr

xarray.Dataset

Dimensions:
- time: 19885
Coordinates: (1)
- time
  (time)
  float64
  3.747e+09 3.747e+09 ... 3.796e+09
  axis :
  T
  calendar :
  gregorian
  long_name :
  time
  standard_name :
  time
  units :
  seconds since 1900-01-01 0:0:0
```
array([3.747254e+09, 3.747254e+09, 3.747254e+09, ..., 3.796056e+09,
       3.796056e+09, 3.796056e+09])
```

Data variables: (26)

conductivity

(time)

float32

dask.array<chunksize=(9209,), meta=np.ndarray>

ancillary_variables :: conductivity_qartod_results conductivity_qartod_executed
comment :: Seawater conductivity refers to the ability of seawater to conduct electricity. The presence of ions in the seawater, such as salt, increases the electrical conducting ability of seawater. As such, conductivity can be used as a proxy for determining the quantity of salt in a sample of seawater.
coordinates :: lat depth lon time
data_product_identifier :: CONDWAT_L1
long_name :: Seawater Conductivity
precision :: 6
standard_name :: sea_water_electrical_conductivity
units :: S m-1





  
      Array  Chunk 
  
  
     Bytes  79.54 kB   36.84 kB 
     Shape  (19885,)   (9209,) 
     Count  4 Tasks  3 Chunks 
     Type  float32  numpy.ndarray

conductivity_qartod_results

(time)

uint8

dask.array<chunksize=(9209,), meta=np.ndarray>

comment :: Summary QARTOD test flags. For each datum, the flag is set to the most significant result of all QARTOD tests run for that datum.
coordinates :: lat depth lon time
flag_meanings :: pass not_evaluated suspect_or_of_high_interest fail missing_data
flag_values :: 1,2,3,4,9
long_name :: Seawater Conductivity QARTOD Summary Flag
references :: https://ioos.noaa.gov/project/qartod https://github.com/ioos/ioos_qc
standard_name :: sea_water_electrical_conductivity status_flag





  
      Array  Chunk 
  
  
     Bytes  19.89 kB   9.21 kB 
     Shape  (19885,)   (9209,) 
     Count  4 Tasks  3 Chunks 
     Type  uint8  numpy.ndarray

conductivity_qc_executed

(time)

uint8

dask.array<chunksize=(9209,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  19.89 kB   9.21 kB 
     Shape  (19885,)   (9209,) 
     Count  4 Tasks  3 Chunks 
     Type  uint8  numpy.ndarray

conductivity_qc_results

(time)

uint8

dask.array<chunksize=(9209,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  19.89 kB   9.21 kB 
     Shape  (19885,)   (9209,) 
     Count  4 Tasks  3 Chunks 
     Type  uint8  numpy.ndarray

density

(time)

float64

dask.array<chunksize=(9209,), meta=np.ndarray>

ancillary_variables :: pressure salinity temperature
comment :: Seawater Density is defined as mass per unit volume and is calculated from the conductivity, temperature and depth of a seawater sample using the TEOS-10 equation.
coordinates :: lat depth lon time
data_product_identifier :: DENSITY_L2
long_name :: Seawater Density
precision :: 3
standard_name :: sea_water_density
units :: kg m-3





  
      Array  Chunk 
  
  
     Bytes  159.08 kB   73.67 kB 
     Shape  (19885,)   (9209,) 
     Count  4 Tasks  3 Chunks 
     Type  float64  numpy.ndarray

density_qc_executed

(time)

uint8

dask.array<chunksize=(9209,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  19.89 kB   9.21 kB 
     Shape  (19885,)   (9209,) 
     Count  4 Tasks  3 Chunks 
     Type  uint8  numpy.ndarray

density_qc_results

(time)

uint8

dask.array<chunksize=(9209,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  19.89 kB   9.21 kB 
     Shape  (19885,)   (9209,) 
     Count  4 Tasks  3 Chunks 
     Type  uint8  numpy.ndarray

deployment

(time)

int32

dask.array<chunksize=(9209,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  79.54 kB   36.84 kB 
     Shape  (19885,)   (9209,) 
     Count  4 Tasks  3 Chunks 
     Type  int32  numpy.ndarray

driver_timestamp

(time)

float64

dask.array<chunksize=(9209,), 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  159.08 kB   73.67 kB 
     Shape  (19885,)   (9209,) 
     Count  4 Tasks  3 Chunks 
     Type  float64  numpy.ndarray

ingestion_timestamp

(time)

float64

dask.array<chunksize=(9209,), 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  159.08 kB   73.67 kB 
     Shape  (19885,)   (9209,) 
     Count  4 Tasks  3 Chunks 
     Type  float64  numpy.ndarray

internal_timestamp

(time)

float64

dask.array<chunksize=(9209,), 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  159.08 kB   73.67 kB 
     Shape  (19885,)   (9209,) 
     Count  4 Tasks  3 Chunks 
     Type  float64  numpy.ndarray

port_timestamp

(time)

float64

dask.array<chunksize=(9209,), 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  159.08 kB   73.67 kB 
     Shape  (19885,)   (9209,) 
     Count  4 Tasks  3 Chunks 
     Type  float64  numpy.ndarray

pressure

(time)

float32

dask.array<chunksize=(9209,), meta=np.ndarray>

ancillary_variables :: pressure_qartod_results pressure_qartod_executed
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  79.54 kB   36.84 kB 
     Shape  (19885,)   (9209,) 
     Count  4 Tasks  3 Chunks 
     Type  float32  numpy.ndarray

pressure_qartod_results

(time)

uint8

dask.array<chunksize=(9209,), meta=np.ndarray>

comment :: Summary QARTOD test flags. For each datum, the flag is set to the most significant result of all QARTOD tests run for that datum.
coordinates :: lat depth lon time
flag_meanings :: pass not_evaluated suspect_or_of_high_interest fail missing_data
flag_values :: 1,2,3,4,9
long_name :: Seawater Pressure QARTOD Summary Flag
references :: https://ioos.noaa.gov/project/qartod https://github.com/ioos/ioos_qc
standard_name :: sea_water_pressure status_flag





  
      Array  Chunk 
  
  
     Bytes  19.89 kB   9.21 kB 
     Shape  (19885,)   (9209,) 
     Count  4 Tasks  3 Chunks 
     Type  uint8  numpy.ndarray

pressure_qc_executed

(time)

uint8

dask.array<chunksize=(9209,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  19.89 kB   9.21 kB 
     Shape  (19885,)   (9209,) 
     Count  4 Tasks  3 Chunks 
     Type  uint8  numpy.ndarray

pressure_qc_results

(time)

uint8

dask.array<chunksize=(9209,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  19.89 kB   9.21 kB 
     Shape  (19885,)   (9209,) 
     Count  4 Tasks  3 Chunks 
     Type  uint8  numpy.ndarray

profiler_timestamp

(time)

float64

dask.array<chunksize=(9209,), meta=np.ndarray>

comment :: Timestamp in seconds since January 01, 1970 UTC.
coordinates :: lat depth lon time
long_name :: Surface-Piercing Profiler Timestamp, UTC
precision :: 0
units :: seconds since 1970-01-01





  
      Array  Chunk 
  
  
     Bytes  159.08 kB   73.67 kB 
     Shape  (19885,)   (9209,) 
     Count  4 Tasks  3 Chunks 
     Type  float64  numpy.ndarray

salinity

(time)

float32

dask.array<chunksize=(9209,), meta=np.ndarray>

ancillary_variables :: salinity_qartod_results salinity_qartod_executed
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 depth lon time
data_product_identifier :: PRACSAL_L2
long_name :: Practical Salinity
precision :: 3
standard_name :: sea_water_practical_salinity
units :: 1





  
      Array  Chunk 
  
  
     Bytes  79.54 kB   36.84 kB 
     Shape  (19885,)   (9209,) 
     Count  4 Tasks  3 Chunks 
     Type  float32  numpy.ndarray

salinity_qartod_results

(time)

uint8

dask.array<chunksize=(9209,), meta=np.ndarray>

comment :: Summary QARTOD test flags. For each datum, the flag is set to the most significant result of all QARTOD tests run for that datum.
coordinates :: lat depth lon time
flag_meanings :: pass not_evaluated suspect_or_of_high_interest fail missing_data
flag_values :: 1,2,3,4,9
long_name :: Practical Salinity QARTOD Summary Flag
references :: https://ioos.noaa.gov/project/qartod https://github.com/ioos/ioos_qc
standard_name :: sea_water_practical_salinity status_flag





  
      Array  Chunk 
  
  
     Bytes  19.89 kB   9.21 kB 
     Shape  (19885,)   (9209,) 
     Count  4 Tasks  3 Chunks 
     Type  uint8  numpy.ndarray

salinity_qc_executed

(time)

uint8

dask.array<chunksize=(9209,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  19.89 kB   9.21 kB 
     Shape  (19885,)   (9209,) 
     Count  4 Tasks  3 Chunks 
     Type  uint8  numpy.ndarray

salinity_qc_results

(time)

uint8

dask.array<chunksize=(9209,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  19.89 kB   9.21 kB 
     Shape  (19885,)   (9209,) 
     Count  4 Tasks  3 Chunks 
     Type  uint8  numpy.ndarray

suspect_timestamp

(time)

float32

dask.array<chunksize=(9209,), meta=np.ndarray>

comment :: Flag indicating a potential inaccuracy in the timestamp. No - 0, Yes - 1
coordinates :: lat depth lon time
long_name :: Suspect Timestamp
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  79.54 kB   36.84 kB 
     Shape  (19885,)   (9209,) 
     Count  4 Tasks  3 Chunks 
     Type  float32  numpy.ndarray

temperature

(time)

float32

dask.array<chunksize=(9209,), meta=np.ndarray>

ancillary_variables :: temperature_qartod_results temperature_qartod_executed
comment :: Seawater temperature near the sensor.
coordinates :: lat depth lon time
data_product_identifier :: TEMPWAT_L1
long_name :: Seawater Temperature
precision :: 4
standard_name :: sea_water_temperature
units :: degree_C





  
      Array  Chunk 
  
  
     Bytes  79.54 kB   36.84 kB 
     Shape  (19885,)   (9209,) 
     Count  4 Tasks  3 Chunks 
     Type  float32  numpy.ndarray

temperature_qartod_results

(time)

uint8

dask.array<chunksize=(9209,), meta=np.ndarray>

comment :: Summary QARTOD test flags. For each datum, the flag is set to the most significant result of all QARTOD tests run for that datum.
coordinates :: lat depth lon time
flag_meanings :: pass not_evaluated suspect_or_of_high_interest fail missing_data
flag_values :: 1,2,3,4,9
long_name :: Seawater Temperature QARTOD Summary Flag
references :: https://ioos.noaa.gov/project/qartod https://github.com/ioos/ioos_qc
standard_name :: sea_water_temperature status_flag





  
      Array  Chunk 
  
  
     Bytes  19.89 kB   9.21 kB 
     Shape  (19885,)   (9209,) 
     Count  4 Tasks  3 Chunks 
     Type  uint8  numpy.ndarray

temperature_qc_executed

(time)

uint8

dask.array<chunksize=(9209,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  19.89 kB   9.21 kB 
     Shape  (19885,)   (9209,) 
     Count  4 Tasks  3 Chunks 
     Type  uint8  numpy.ndarray

temperature_qc_results

(time)

uint8

dask.array<chunksize=(9209,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  19.89 kB   9.21 kB 
     Shape  (19885,)   (9209,) 
     Count  4 Tasks  3 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 :
telemetered
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 :
2020-11-24T20:06:53.315972
date_downloaded :
2020-11-24T20:06:18.873281
date_modified :
2020-11-24T20:06:53.315985
date_processed :
2020-11-24T20:07:35.805855
featureType :
point
geospatial_lat_max :
44.637117
geospatial_lat_min :
44.637117
geospatial_lat_resolution :
0.1
geospatial_lat_units :
degrees_north
geospatial_lon_max :
-124.302617
geospatial_lon_min :
-124.302617
geospatial_lon_resolution :
0.1
geospatial_lon_units :
degrees_east
geospatial_vertical_positive :
down
geospatial_vertical_resolution :
0.1
geospatial_vertical_units :
meters
history :
2020-11-24T20:06:53.315854 generated from Stream Engine
id :
CE02SHSP-SP001-08-CTDPFJ000-telemetered-ctdpf_j_cspp_instrument
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 :
SP001
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 :
08-CTDPFJ000
source :
CE02SHSP-SP001-08-CTDPFJ000-telemetered-ctdpf_j_cspp_instrument
sourceUrl :
http://oceanobservatories.org/
standard_name_vocabulary :
NetCDF Climate and Forecast (CF) Metadata Convention Standard Name Table 29
stream :
ctdpf_j_cspp_instrument
subsite :
CE02SHSP
summary :
Dataset Generated by Stream Engine from Ocean Observatories Initiative
time_coverage_end :
2018-10-22T07:10:24.682000
time_coverage_start :
2018-09-29T23:45:28.908000
title :
Data produced by Stream Engine version 1.18.0 for CE02SHSP-SP001-08-CTDPFJ000-telemetered-ctdpf_j_cspp_instrument