NANOOS ERDDAP™ Server
Access To NANOOS Data |
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Dataset Title: | Se'lhaem, Bellingham Bay Deep Hydrological Station Data |
Institution: | Northwest Environmental Moorings Group at University of Washington - Applied Physical Laboratory (Dataset ID: bellinghambay_deephydro) |
Information: | Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Files | Make a graph |
To view the counts of distinct combinations of the variables listed above,
check View : Distinct Data Counts above and select a value for one of the variables above.
Distinct Data (Metadata) (Refine the data subset and/or download the data)
location_id | latitude | longitude | sea_water_temperature_qc_manually_flagged_test | sea_water_electrical_conductivity_qc_manually_flagged_test | sea_water_pressure_qc_manually_flagged_test | sea_water_practical_salinity_qc_manually_flagged_test | sea_water_sigma_theta_qc_manually_flagged_test | mass_concentration_of_oxygen_in_sea_water_qc_manually_flagged_test | mass_concentration_of_chlorophyll_a_in_sea_water_qc_manually_flagged_test | sea_water_turbidity_qc_manually_flagged_test | sea_water_ph_reported_on_total_scale_qc_manually_flagged_test |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | degrees_north | degrees_east | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
Se'lhaem - Bellingham Bay | 48.72369194444445 | -87.40809999999999 | 9 | 9 | 9 | 9 | 9 | 9 | 9 | 9 | 9 |
In total, there are 1 rows of distinct combinations of the variables listed above.
All of the rows are shown above.
To change the maximum number of rows displayed, change View : Distinct Data above.
To view the related data counts,
check View : Related Data Counts above and select a value for one of the variables above.
WARNING: This may involve lots of data.
For some datasets, this may be slow.
Consider using this only when you need it and
have selected a small subset of the data.
Related Data (Metadata) (Refine the data subset and/or download the data)
To view the related data, change View : Related Data above.
WARNING: This may involve lots of data. For some datasets, this may be slow. Consider using this only when you need it and have selected a small subset of the data.