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Marine Institute ERDDAP Server
Serving data from the Marine Institute (Ireland) |
Brought to you by the Marine Institute(Ireland) |
| Dataset Title: | MI Wave Forecast at buoy locations - to be replaced
|
| Institution: | Marine Institute (Dataset ID: IMI-WaveBuoyForecast) |
| Information: | Summary
| License
| FGDC
| ISO 19115
| Metadata
| Background
| Data Access Form
| Files
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(Refine the map and/or download the image)
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)
| stationID | longitude | latitude | project_code |
|---|---|---|---|
| degrees_east | degrees_north | ||
| Ballybunnion | -9.7824 | 52.54213 | BUOY |
| Belmullet_Inner | -10.14618 | 54.23086 | BUOY |
| Belmullet_Outer | -10.2783 | 54.2815 | BUOY |
| Brandon_Bay | -10.095 | 52.2925 | BUOY |
| Cork_SmartBuoy | -8.2353 | 51.76833 | BUOY |
| Finnis | -9.48543 | 53.04687 | BUOY |
| Killard | -9.621628 | 52.7616 | BUOY |
| M2 | -5.425 | 53.48 | BUOY |
| M3 | -10.55 | 51.2166 | BUOY |
| M4 | -10.0 | 55.0 | BUOY |
| M5 | -6.704 | 51.69 | BUOY |
| M6 | -15.88 | 53.07 | BUOY |
| Mace_Head | -9.9324 | 53.3327 | BUOY |
| South_Hunter | -5.75473 | 54.87818 | BUOY |
| Spiddal | -9.271 | 53.224 | BUOY |
| Splaugh | -6.27973 | 52.23938 | BUOY |
In total, there are 16 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.