Show/Hide data repr

xarray.Dataset

Dimensions:
- time: 23

Coordinates: (1)

time

(time)

float64

3.788e+09 3.788e+09 ... 3.802e+09

axis :: T
calendar :: gregorian
long_name :: time
standard_name :: time
units :: seconds since 1900-01-01 0:0:0

array([3.787507e+09, 3.788183e+09, 3.788859e+09, 3.789534e+09, 3.790210e+09,
       3.790886e+09, 3.791562e+09, 3.792238e+09, 3.792914e+09, 3.793590e+09,
       3.794266e+09, 3.794942e+09, 3.795618e+09, 3.796294e+09, 3.796970e+09,
       3.797646e+09, 3.798322e+09, 3.798998e+09, 3.799674e+09, 3.800350e+09,
       3.801026e+09, 3.801702e+09, 3.802378e+09])

Data variables: (30)

conductivity

(time)

float64

dask.array<chunksize=(23,), meta=np.ndarray>

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. This is the unprocessed data that are output directly from the sensor which are then converted to salinity in S m-1.
coordinates :: lat pressure lon time
data_product_identifier :: CONDWAT_L0
long_name :: Seawater Conductivity Measurement
precision :: 0
units :: counts





  
      Array  Chunk 
  
  
     Bytes  184 B   184 B 
     Shape  (23,)   (23,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

ctdpf_ckl_seawater_conductivity

(time)

float64

dask.array<chunksize=(23,), meta=np.ndarray>

ancillary_variables :: ctdpf_ckl_seawater_conductivity_qartod_results ctdpf_ckl_seawater_conductivity_qartod_executed conductivity
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 pressure lon time
data_product_identifier :: CONDWAT_L1
long_name :: Seawater Conductivity
precision :: 4
standard_name :: sea_water_conductivity
units :: S m-1





  
      Array  Chunk 
  
  
     Bytes  184 B   184 B 
     Shape  (23,)   (23,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

ctdpf_ckl_seawater_conductivity_qartod_executed
(time)
|S1
dask.array<chunksize=(23,), meta=np.ndarray>
comment :
Individual QARTOD test flags. For each datum, flags are listed in a string matching the order of the tests_executed attribute. Flags should be interpreted using the standard QARTOD mapping: [1: pass, 2: not_evaluated, 3: suspect_or_of_high_interest, 4: fail, 9: missing_data].
coordinates :
lat pressure lon time
long_name :
Seawater Conductivity Individual QARTOD Flags
references :
https://ioos.noaa.gov/project/qartod https://github.com/ioos/ioos_qc
standard_name :
sea_water_conductivity status_flag
tests_executed :
gross_range_test
```
  
      Array  Chunk 
  
  
     Bytes  23 B   23 B 
     Shape  (23,)   (23,) 
     Count  2 Tasks  1 Chunks 
     Type  |S1  numpy.ndarray 
  
```
ctdpf_ckl_seawater_conductivity_qartod_results
(time)
uint8
dask.array<chunksize=(23,), 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 pressure 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_conductivity status_flag
```
  
      Array  Chunk 
  
  
     Bytes  23 B   23 B 
     Shape  (23,)   (23,) 
     Count  2 Tasks  1 Chunks 
     Type  uint8  numpy.ndarray 
  
```

ctdpf_ckl_seawater_conductivity_qc_executed

(time)

uint8

dask.array<chunksize=(23,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  23 B   23 B 
     Shape  (23,)   (23,) 
     Count  2 Tasks  1 Chunks 
     Type  uint8  numpy.ndarray

ctdpf_ckl_seawater_conductivity_qc_results

(time)

uint8

dask.array<chunksize=(23,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  23 B   23 B 
     Shape  (23,)   (23,) 
     Count  2 Tasks  1 Chunks 
     Type  uint8  numpy.ndarray

ctdpf_ckl_seawater_pressure

(time)

float64

dask.array<chunksize=(23,), meta=np.ndarray>

ancillary_variables :: ctdpf_ckl_seawater_pressure_qartod_results ctdpf_ckl_seawater_pressure_qartod_executed pressure
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 pressure lon time
data_product_identifier :: PRESWAT_L1
long_name :: Seawater Pressure
standard_name :: sea_water_pressure
units :: dbar





  
      Array  Chunk 
  
  
     Bytes  184 B   184 B 
     Shape  (23,)   (23,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

ctdpf_ckl_seawater_pressure_qartod_executed
(time)
|S1
dask.array<chunksize=(23,), meta=np.ndarray>
comment :
Individual QARTOD test flags. For each datum, flags are listed in a string matching the order of the tests_executed attribute. Flags should be interpreted using the standard QARTOD mapping: [1: pass, 2: not_evaluated, 3: suspect_or_of_high_interest, 4: fail, 9: missing_data].
coordinates :
lat pressure lon time
long_name :
Seawater Pressure Individual QARTOD Flags
references :
https://ioos.noaa.gov/project/qartod https://github.com/ioos/ioos_qc
standard_name :
sea_water_pressure status_flag
tests_executed :
gross_range_test
```
  
      Array  Chunk 
  
  
     Bytes  23 B   23 B 
     Shape  (23,)   (23,) 
     Count  2 Tasks  1 Chunks 
     Type  |S1  numpy.ndarray 
  
```
ctdpf_ckl_seawater_pressure_qartod_results
(time)
uint8
dask.array<chunksize=(23,), 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 pressure 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  23 B   23 B 
     Shape  (23,)   (23,) 
     Count  2 Tasks  1 Chunks 
     Type  uint8  numpy.ndarray 
  
```

ctdpf_ckl_seawater_pressure_qc_executed

(time)

uint8

dask.array<chunksize=(23,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  23 B   23 B 
     Shape  (23,)   (23,) 
     Count  2 Tasks  1 Chunks 
     Type  uint8  numpy.ndarray

ctdpf_ckl_seawater_pressure_qc_results

(time)

uint8

dask.array<chunksize=(23,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  23 B   23 B 
     Shape  (23,)   (23,) 
     Count  2 Tasks  1 Chunks 
     Type  uint8  numpy.ndarray

ctdpf_ckl_seawater_temperature

(time)

float64

dask.array<chunksize=(23,), meta=np.ndarray>

ancillary_variables :: ctdpf_ckl_seawater_temperature_qartod_results ctdpf_ckl_seawater_temperature_qartod_executed temperature
comment :: Seawater temperature near the sensor.
coordinates :: lat pressure lon time
data_product_identifier :: TEMPWAT_L1
long_name :: Seawater Temperature
precision :: 4
standard_name :: sea_water_temperature
units :: degree_C





  
      Array  Chunk 
  
  
     Bytes  184 B   184 B 
     Shape  (23,)   (23,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

ctdpf_ckl_seawater_temperature_qartod_executed
(time)
|S1
dask.array<chunksize=(23,), meta=np.ndarray>
comment :
Individual QARTOD test flags. For each datum, flags are listed in a string matching the order of the tests_executed attribute. Flags should be interpreted using the standard QARTOD mapping: [1: pass, 2: not_evaluated, 3: suspect_or_of_high_interest, 4: fail, 9: missing_data].
coordinates :
lat pressure lon time
long_name :
Seawater Temperature Individual QARTOD Flags
references :
https://ioos.noaa.gov/project/qartod https://github.com/ioos/ioos_qc
standard_name :
sea_water_temperature status_flag
tests_executed :
gross_range_test
```
  
      Array  Chunk 
  
  
     Bytes  23 B   23 B 
     Shape  (23,)   (23,) 
     Count  2 Tasks  1 Chunks 
     Type  |S1  numpy.ndarray 
  
```
ctdpf_ckl_seawater_temperature_qartod_results
(time)
uint8
dask.array<chunksize=(23,), 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 pressure 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  23 B   23 B 
     Shape  (23,)   (23,) 
     Count  2 Tasks  1 Chunks 
     Type  uint8  numpy.ndarray 
  
```

ctdpf_ckl_seawater_temperature_qc_executed

(time)

uint8

dask.array<chunksize=(23,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  23 B   23 B 
     Shape  (23,)   (23,) 
     Count  2 Tasks  1 Chunks 
     Type  uint8  numpy.ndarray

ctdpf_ckl_seawater_temperature_qc_results

(time)

uint8

dask.array<chunksize=(23,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  23 B   23 B 
     Shape  (23,)   (23,) 
     Count  2 Tasks  1 Chunks 
     Type  uint8  numpy.ndarray

density

(time)

float64

dask.array<chunksize=(23,), meta=np.ndarray>

ancillary_variables :: pressure practical_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 pressure 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  184 B   184 B 
     Shape  (23,)   (23,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

density_qc_executed

(time)

uint8

dask.array<chunksize=(23,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  23 B   23 B 
     Shape  (23,)   (23,) 
     Count  2 Tasks  1 Chunks 
     Type  uint8  numpy.ndarray

density_qc_results

(time)

uint8

dask.array<chunksize=(23,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  23 B   23 B 
     Shape  (23,)   (23,) 
     Count  2 Tasks  1 Chunks 
     Type  uint8  numpy.ndarray

deployment

(time)

int32

dask.array<chunksize=(23,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  92 B   92 B 
     Shape  (23,)   (23,) 
     Count  2 Tasks  1 Chunks 
     Type  int32  numpy.ndarray

driver_timestamp

(time)

float64

dask.array<chunksize=(23,), 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  184 B   184 B 
     Shape  (23,)   (23,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

ingestion_timestamp

(time)

float64

dask.array<chunksize=(23,), 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  184 B   184 B 
     Shape  (23,)   (23,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

internal_timestamp

(time)

float64

dask.array<chunksize=(23,), 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  184 B   184 B 
     Shape  (23,)   (23,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

port_timestamp

(time)

float64

dask.array<chunksize=(23,), 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  184 B   184 B 
     Shape  (23,)   (23,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

practical_salinity

(time)

float64

dask.array<chunksize=(23,), meta=np.ndarray>

ancillary_variables :: practical_salinity_qartod_results practical_salinity_qartod_executed pressure conductivity temperature
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
long_name :: Practical Salinity
precision :: 4
standard_name :: sea_water_practical_salinity
units :: 1





  
      Array  Chunk 
  
  
     Bytes  184 B   184 B 
     Shape  (23,)   (23,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  numpy.ndarray

practical_salinity_qartod_executed
(time)
|S1
dask.array<chunksize=(23,), meta=np.ndarray>
comment :
Individual QARTOD test flags. For each datum, flags are listed in a string matching the order of the tests_executed attribute. Flags should be interpreted using the standard QARTOD mapping: [1: pass, 2: not_evaluated, 3: suspect_or_of_high_interest, 4: fail, 9: missing_data].
coordinates :
lat pressure lon time
long_name :
Practical Salinity Individual QARTOD Flags
references :
https://ioos.noaa.gov/project/qartod https://github.com/ioos/ioos_qc
standard_name :
sea_water_practical_salinity status_flag
tests_executed :
gross_range_test
```
  
      Array  Chunk 
  
  
     Bytes  23 B   23 B 
     Shape  (23,)   (23,) 
     Count  2 Tasks  1 Chunks 
     Type  |S1  numpy.ndarray 
  
```
practical_salinity_qartod_results
(time)
uint8
dask.array<chunksize=(23,), 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 pressure 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  23 B   23 B 
     Shape  (23,)   (23,) 
     Count  2 Tasks  1 Chunks 
     Type  uint8  numpy.ndarray 
  
```

practical_salinity_qc_executed

(time)

uint8

dask.array<chunksize=(23,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  23 B   23 B 
     Shape  (23,)   (23,) 
     Count  2 Tasks  1 Chunks 
     Type  uint8  numpy.ndarray

practical_salinity_qc_results

(time)

uint8

dask.array<chunksize=(23,), meta=np.ndarray>

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





  
      Array  Chunk 
  
  
     Bytes  23 B   23 B 
     Shape  (23,)   (23,) 
     Count  2 Tasks  1 Chunks 
     Type  uint8  numpy.ndarray

temperature

(time)

float64

dask.array<chunksize=(23,), meta=np.ndarray>

comment :: Seawater temperature unprocessed measurement near the sensor.
coordinates :: lat pressure lon time
data_product_identifier :: TEMPWAT_L0
long_name :: Seawater Temperature Measurement
precision :: 0
units :: counts





  
      Array  Chunk 
  
  
     Bytes  184 B   184 B 
     Shape  (23,)   (23,) 
     Count  2 Tasks  1 Chunks 
     Type  float64  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 :
bad_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 :
2020-08-11T07:10:08.306653
date_downloaded :
2020-09-23T06:00:21.675132
date_modified :
2020-08-11T07:10:08.306659
date_processed :
2020-09-23T06:49:12.776962
featureType :
point
geospatial_lat_max :
46.85253
geospatial_lat_min :
46.85253
geospatial_lat_resolution :
0.1
geospatial_lat_units :
degrees_north
geospatial_lon_max :
-124.97378
geospatial_lon_min :
-124.97378
geospatial_lon_resolution :
0.1
geospatial_lon_units :
degrees_east
geospatial_vertical_positive :
down
geospatial_vertical_resolution :
0.1
geospatial_vertical_units :
meters
history :
2020-08-11T07:10:08.306591 generated from Stream Engine
id :
CE09OSPM-WFP01-03-CTDPFK000-bad_telemetered-ctdpf_ckl_wfp_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 :
WFP01
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 :
03-CTDPFK000
source :
CE09OSPM-WFP01-03-CTDPFK000-bad_telemetered-ctdpf_ckl_wfp_instrument
sourceUrl :
http://oceanobservatories.org/
standard_name_vocabulary :
NetCDF Climate and Forecast (CF) Metadata Convention Standard Name Table 29
stream :
ctdpf_ckl_wfp_instrument
subsite :
CE09OSPM
summary :
Dataset Generated by Stream Engine from Ocean Observatories Initiative
time_coverage_end :
2020-06-29T00:04:58.210385
time_coverage_start :
2020-01-08T21:09:47.661321
title :
Data produced by Stream Engine version 1.15.0 for CE09OSPM-WFP01-03-CTDPFK000-bad_telemetered-ctdpf_ckl_wfp_instrument