Easier access to scientific data
Brought to you by NOAA AOML PhOD GDP
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ERDDAP
Easier access to scientific data |
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Brought to you by NOAA AOML PhOD GDP |
| Dataset Title: | OSMC flattened observations from GTS
|
| Institution: | OSMC (Dataset ID: OSMC_RealTime) |
| Information: | Summary
| License
| FGDC
| ISO 19115
| Metadata
| Background
| Data Access Form
| Make a graph
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(Refine the map and/or download the image)
To view the map, check View : Map of All 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.
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)
| platform_type |
|---|
| C-MAN WEATHER STATIONS |
| HURRICANE DRIFTERS |
| ICE BUOYS |
| TROPICAL MOORED BUOYS |
| TSUNAMI WARNING STATIONS |
| UNDERWAY CARBON SHIPS |
| VOLUNTEER OBSERVING SHIPS |
| VOSCLIM |
| WEATHER BUOYS |
| AUTONOMOUS PINNIPEDS |
| DRIFTING BUOYS (GENERIC) |
| GLIDERS |
| MOORED BUOYS (GENERIC) |
| PROFILING FLOATS AND GLIDERS (GENERIC) |
| SHIPS (GENERIC) |
| SHORE AND BOTTOM STATIONS (GENERIC) |
| TIDE GAUGE STATIONS (GENERIC) |
| UNCREWED SURFACE VEHICLE |
In total, there are 18 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.