Calibrated phase difference, used to calculate temperature compensated oxygen concentration.
coordinates :
lat depth lon time
data_product_identifier :
DOCONCS-DEG_L0
long_name :
Calibrated Phase Difference
precision :
3
units :
degrees
Array
Chunk
Bytes
1.15 MB
271.04 kB
Shape
(288535,)
(67761,)
Count
6 Tasks
5 Chunks
Type
float32
numpy.ndarray
deployment
(time)
int32
dask.array<chunksize=(67761,), meta=np.ndarray>
coordinates :
lat depth lon time
long_name :
Deployment Number
name :
deployment
Array
Chunk
Bytes
1.15 MB
271.04 kB
Shape
(288535,)
(67761,)
Count
6 Tasks
5 Chunks
Type
int32
numpy.ndarray
dissolved_oxygen
(time)
float64
dask.array<chunksize=(67761,), meta=np.ndarray>
ancillary_variables :
estimated_oxygen_concentration salinity pressure temperature
comment :
Dissolved Oxygen Concentration from the Stable Response Dissolved Oxygen Instrument is a measure of the concentration of gaseous oxygen mixed in seawater. This data product is corrected for salinity, temperature, and depth.
coordinates :
lat depth lon time
data_product_identifier :
DOXYGEN_L2
long_name :
DO - Pressure Temp Sal Corrected
precision :
4
standard_name :
moles_of_oxygen_per_unit_mass_in_sea_water
units :
µmol kg-1
Array
Chunk
Bytes
2.31 MB
542.09 kB
Shape
(288535,)
(67761,)
Count
6 Tasks
5 Chunks
Type
float64
numpy.ndarray
dissolved_oxygen_qc_executed
(time)
uint8
dask.array<chunksize=(67761,), meta=np.ndarray>
coordinates :
lat depth lon time
long_name :
QC Checks Executed
Array
Chunk
Bytes
288.54 kB
67.76 kB
Shape
(288535,)
(67761,)
Count
6 Tasks
5 Chunks
Type
uint8
numpy.ndarray
dissolved_oxygen_qc_results
(time)
uint8
dask.array<chunksize=(67761,), meta=np.ndarray>
coordinates :
lat depth lon time
long_name :
QC Checks Results
Array
Chunk
Bytes
288.54 kB
67.76 kB
Shape
(288535,)
(67761,)
Count
6 Tasks
5 Chunks
Type
uint8
numpy.ndarray
dosta_abcdjm_cspp_tc_oxygen
(time)
float64
dask.array<chunksize=(67761,), meta=np.ndarray>
ancillary_variables :
calibrated_phase optode_temperature
comment :
Dissolved Oxygen (DO) Concentration from the Stable Response Dissolved Oxygen Instrument is a measure of the concentration of gaseous oxygen mixed in seawater. This instrument measures dissolved oxygen concentrations on mobile assets, deep profilers, and moorings.This data product is corrected for temperature measured by the DO instrument.
coordinates :
lat depth lon time
data_product_identifier :
DOCONCS_L1
long_name :
DO - Temp Corrected
units :
µmol L-1
Array
Chunk
Bytes
2.31 MB
542.09 kB
Shape
(288535,)
(67761,)
Count
6 Tasks
5 Chunks
Type
float64
numpy.ndarray
dosta_abcdjm_cspp_tc_oxygen_qc_executed
(time)
uint8
dask.array<chunksize=(67761,), meta=np.ndarray>
coordinates :
lat depth lon time
long_name :
QC Checks Executed
Array
Chunk
Bytes
288.54 kB
67.76 kB
Shape
(288535,)
(67761,)
Count
6 Tasks
5 Chunks
Type
uint8
numpy.ndarray
dosta_abcdjm_cspp_tc_oxygen_qc_results
(time)
uint8
dask.array<chunksize=(67761,), meta=np.ndarray>
coordinates :
lat depth lon time
long_name :
QC Checks Results
Array
Chunk
Bytes
288.54 kB
67.76 kB
Shape
(288535,)
(67761,)
Count
6 Tasks
5 Chunks
Type
uint8
numpy.ndarray
driver_timestamp
(time)
float64
dask.array<chunksize=(67761,), 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
2.31 MB
542.09 kB
Shape
(288535,)
(67761,)
Count
6 Tasks
5 Chunks
Type
float64
numpy.ndarray
estimated_oxygen_concentration
(time)
float32
dask.array<chunksize=(67761,), meta=np.ndarray>
comment :
Dissolved Oxygen (DO) Concentration from the Stable Response Dissolved Oxygen Instrument is a measure of the concentration of gaseous oxygen mixed in seawater. This instrument measures dissolved oxygen concentrations on mobile assets, deep profilers, and moorings. This data product is corrected for temperature from a collocated CTD.
coordinates :
lat depth lon time
data_product_identifier :
DOCONCS_L1
long_name :
DO
precision :
3
units :
µmol L-1
Array
Chunk
Bytes
1.15 MB
271.04 kB
Shape
(288535,)
(67761,)
Count
6 Tasks
5 Chunks
Type
float32
numpy.ndarray
estimated_oxygen_concentration_qc_executed
(time)
uint8
dask.array<chunksize=(67761,), meta=np.ndarray>
coordinates :
lat depth lon time
long_name :
QC Checks Executed
Array
Chunk
Bytes
288.54 kB
67.76 kB
Shape
(288535,)
(67761,)
Count
6 Tasks
5 Chunks
Type
uint8
numpy.ndarray
estimated_oxygen_concentration_qc_results
(time)
uint8
dask.array<chunksize=(67761,), meta=np.ndarray>
coordinates :
lat depth lon time
long_name :
QC Checks Results
Array
Chunk
Bytes
288.54 kB
67.76 kB
Shape
(288535,)
(67761,)
Count
6 Tasks
5 Chunks
Type
uint8
numpy.ndarray
estimated_oxygen_saturation
(time)
float32
dask.array<chunksize=(67761,), meta=np.ndarray>
comment :
Oxygen saturation is the percentage of dissolved oxygen relative to the absolute solubility of oxygen at a particular water temperature.
coordinates :
lat depth lon time
long_name :
Dissolved Oxygen Saturation
precision :
3
units :
percent
Array
Chunk
Bytes
1.15 MB
271.04 kB
Shape
(288535,)
(67761,)
Count
6 Tasks
5 Chunks
Type
float32
numpy.ndarray
estimated_oxygen_saturation_qc_executed
(time)
uint8
dask.array<chunksize=(67761,), meta=np.ndarray>
coordinates :
lat depth lon time
long_name :
QC Checks Executed
Array
Chunk
Bytes
288.54 kB
67.76 kB
Shape
(288535,)
(67761,)
Count
6 Tasks
5 Chunks
Type
uint8
numpy.ndarray
estimated_oxygen_saturation_qc_results
(time)
uint8
dask.array<chunksize=(67761,), meta=np.ndarray>
coordinates :
lat depth lon time
long_name :
QC Checks Results
Array
Chunk
Bytes
288.54 kB
67.76 kB
Shape
(288535,)
(67761,)
Count
6 Tasks
5 Chunks
Type
uint8
numpy.ndarray
ingestion_timestamp
(time)
float64
dask.array<chunksize=(67761,), 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
2.31 MB
542.09 kB
Shape
(288535,)
(67761,)
Count
6 Tasks
5 Chunks
Type
float64
numpy.ndarray
internal_timestamp
(time)
float64
dask.array<chunksize=(67761,), 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
2.31 MB
542.09 kB
Shape
(288535,)
(67761,)
Count
6 Tasks
5 Chunks
Type
float64
numpy.ndarray
optode_temperature
(time)
float32
dask.array<chunksize=(67761,), meta=np.ndarray>
comment :
Oxygen sensor ambient temperature
coordinates :
lat depth lon time
long_name :
Optode Temperature
precision :
3
units :
degree_C
Array
Chunk
Bytes
1.15 MB
271.04 kB
Shape
(288535,)
(67761,)
Count
6 Tasks
5 Chunks
Type
float32
numpy.ndarray
optode_temperature_qc_executed
(time)
uint8
dask.array<chunksize=(67761,), meta=np.ndarray>
coordinates :
lat depth lon time
long_name :
QC Checks Executed
Array
Chunk
Bytes
288.54 kB
67.76 kB
Shape
(288535,)
(67761,)
Count
6 Tasks
5 Chunks
Type
uint8
numpy.ndarray
optode_temperature_qc_results
(time)
uint8
dask.array<chunksize=(67761,), meta=np.ndarray>
coordinates :
lat depth lon time
long_name :
QC Checks Results
Array
Chunk
Bytes
288.54 kB
67.76 kB
Shape
(288535,)
(67761,)
Count
6 Tasks
5 Chunks
Type
uint8
numpy.ndarray
port_timestamp
(time)
float64
dask.array<chunksize=(67761,), 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
2.31 MB
542.09 kB
Shape
(288535,)
(67761,)
Count
6 Tasks
5 Chunks
Type
float64
numpy.ndarray
pressure
(time)
float32
dask.array<chunksize=(67761,), meta=np.ndarray>
alternate_parameter_name :
pressure_depth
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 reported is the CTD pressure recorded at the time of the sensor reading.
coordinates :
lat depth lon time
long_name :
CTD Seawater Pressure
precision :
3
standard_name :
sea_water_pressure
units :
dbar
Array
Chunk
Bytes
1.15 MB
271.04 kB
Shape
(288535,)
(67761,)
Count
6 Tasks
5 Chunks
Type
float32
numpy.ndarray
pressure_qc_executed
(time)
uint8
dask.array<chunksize=(67761,), meta=np.ndarray>
alternate_parameter_name :
pressure_depth_qc_executed
coordinates :
lat depth lon time
long_name :
QC Checks Executed
Array
Chunk
Bytes
288.54 kB
67.76 kB
Shape
(288535,)
(67761,)
Count
6 Tasks
5 Chunks
Type
uint8
numpy.ndarray
pressure_qc_results
(time)
uint8
dask.array<chunksize=(67761,), meta=np.ndarray>
alternate_parameter_name :
pressure_depth_qc_results
coordinates :
lat depth lon time
long_name :
QC Checks Results
Array
Chunk
Bytes
288.54 kB
67.76 kB
Shape
(288535,)
(67761,)
Count
6 Tasks
5 Chunks
Type
uint8
numpy.ndarray
profiler_timestamp
(time)
float64
dask.array<chunksize=(67761,), 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
2.31 MB
542.09 kB
Shape
(288535,)
(67761,)
Count
6 Tasks
5 Chunks
Type
float64
numpy.ndarray
raw_temperature
(time)
float32
dask.array<chunksize=(67761,), meta=np.ndarray>
comment :
Raw temperature, voltage from thermistor.
coordinates :
lat depth lon time
long_name :
Thermistor Voltage
precision :
1
units :
mV
Array
Chunk
Bytes
1.15 MB
271.04 kB
Shape
(288535,)
(67761,)
Count
6 Tasks
5 Chunks
Type
float32
numpy.ndarray
red_amplitude
(time)
float32
dask.array<chunksize=(67761,), meta=np.ndarray>
comment :
Amplitude measurement with red excitation.
coordinates :
lat depth lon time
long_name :
Red Light Amplitude
precision :
1
units :
mV
Array
Chunk
Bytes
1.15 MB
271.04 kB
Shape
(288535,)
(67761,)
Count
6 Tasks
5 Chunks
Type
float32
numpy.ndarray
red_phase
(time)
float32
dask.array<chunksize=(67761,), meta=np.ndarray>
comment :
Phase measurement with red excitation.
coordinates :
lat depth lon time
long_name :
Red Light Phase
precision :
3
units :
degrees
Array
Chunk
Bytes
1.15 MB
271.04 kB
Shape
(288535,)
(67761,)
Count
6 Tasks
5 Chunks
Type
float32
numpy.ndarray
salinity
(time)
float64
dask.array<chunksize=(67761,), 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 depth lon time
data_product_identifier :
PRACSAL_L2
instrument :
CE06ISSP-SP001-09-CTDPFJ000
long_name :
Practical Salinity
precision :
3
standard_name :
sea_water_practical_salinity
stream :
ctdpf_j_cspp_instrument_recovered
units :
1
Array
Chunk
Bytes
2.31 MB
542.09 kB
Shape
(288535,)
(67761,)
Count
6 Tasks
5 Chunks
Type
float64
numpy.ndarray
suspect_timestamp
(time)
float32
dask.array<chunksize=(67761,), 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
1.15 MB
271.04 kB
Shape
(288535,)
(67761,)
Count
6 Tasks
5 Chunks
Type
float32
numpy.ndarray
temp_compensated_phase
(time)
float32
dask.array<chunksize=(67761,), meta=np.ndarray>
comment :
Temerature compensated phase.
coordinates :
lat depth lon time
long_name :
Temperature Compensated Phase
precision :
3
units :
degrees
Array
Chunk
Bytes
1.15 MB
271.04 kB
Shape
(288535,)
(67761,)
Count
6 Tasks
5 Chunks
Type
float32
numpy.ndarray
temperature
(time)
float64
dask.array<chunksize=(67761,), meta=np.ndarray>
comment :
Seawater temperature near the sensor.
coordinates :
lat depth lon time
data_product_identifier :
TEMPWAT_L1
instrument :
CE06ISSP-SP001-09-CTDPFJ000
long_name :
Seawater Temperature
precision :
4
standard_name :
sea_water_temperature
stream :
ctdpf_j_cspp_instrument_recovered
units :
degree_C
Array
Chunk
Bytes
2.31 MB
542.09 kB
Shape
(288535,)
(67761,)
Count
6 Tasks
5 Chunks
Type
float64
numpy.ndarray
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_cspp
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 :
2020-11-25T03:24:20.905152
date_downloaded :
2020-11-25T03:03:22.018250
date_modified :
2020-11-25T03:24:20.905158
date_processed :
2020-11-25T03:29:28.459495
featureType :
point
geospatial_lat_max :
47.1348
geospatial_lat_min :
47.1348
geospatial_lat_resolution :
0.1
geospatial_lat_units :
degrees_north
geospatial_lon_max :
-124.27326
geospatial_lon_min :
-124.27326
geospatial_lon_resolution :
0.1
geospatial_lon_units :
degrees_east
geospatial_vertical_positive :
down
geospatial_vertical_resolution :
0.1
geospatial_vertical_units :
meters
history :
2020-11-25T03:24:20.905091 generated from Stream Engine