ERDDAP > tabledap > Subset

Dataset Title:	Marine Institute Tide Prediction
Institution:	Marine Institute   (Dataset ID: IMI-TidePrediction)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Files | Make a graph

Select a subset:      (Current number of distinct combinations of matching data: 37)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

stationID	= (ANY) Achill_Island_MODELLED Aranmore Arklow Ballycotton Ballyglass Bray_Harbour_MODELLED Carrigaholt_MODELLED Castletownbere Clare_Island_MODELLED Crosshaven_MODELLED Dingle Dublin_Port Dungarvan_MODELLED Dunmore Fenit Galway Howth Inishmore Killary_Harbour_MODELLED Killybegs Kilrush Kinsale_MODELLED Lahinch_MODELLED Letterfrack_MODELLED Malin_Head Port_Oriel Ringaskiddy Roonagh Rossaveel Rosslare Skerries Sligo Tom_Clarke_Bridge Tory_Island_MODELLED Union_Hall Wexford Wicklow_MODELLED	37 options
longitude	= (ANY) -10.27732 -10.1016 -10.0388 -9.9443 -9.90442 -9.9034 -9.9016 -9.89 -9.8644 -9.6812 -9.66 -9.562056 -9.50208 -9.3899 -9.1335 -9.04796 -8.5689 -8.49562 -8.446 -8.3949 -8.304 -8.2411 -8.1962 -8.0007 -7.5521 -7.33432 -6.99166 -6.4589 -6.334861 -6.227383 -6.221713 -6.22166 -6.145231 -6.108117 -6.0901 -6.0683 -6.0127  degrees_east	37 options
latitude	= (ANY) 51.559 51.6496 51.6777 51.7794 51.82776 51.84 52.0672 52.13924 52.14754 52.2546 52.27129 52.33852 52.5965 52.63191 52.79205 52.911 52.9889 53.126 53.2191 53.26693 53.26895 53.34574 53.34623 53.39148 53.582 53.585 53.6316 53.76235 53.79899 53.8019 53.9522 54.253 54.3046 54.6364 54.9896 55.2508 55.37168  degrees_north	37 options

View:      Map of Distinct Data      Distinct Data Counts     Distinct Data  0 10 100 1000 10000 100000      Related Data Counts     Related Data  0 10 100 1000 10000 100000

 

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Map of Distinct Data   (Refine the map and/or download the image)
Optional: Click on the map to select the closest data.

 

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Distinct Data Counts

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.
 

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Distinct Data   (Metadata)    (Refine the data subset and/or download the data)  

stationID	longitude	latitude
	degrees_east	degrees_north
Achill_Island_MODELLED	-10.1016	53.9522
Aranmore	-8.49562	54.9896
Arklow	-6.145231	52.79205
Ballycotton	-8.0007	51.82776
Ballyglass	-9.89	54.253
Bray_Harbour_MODELLED	-6.0901	53.2191
Carrigaholt_MODELLED	-9.6812	52.5965
Castletownbere	-9.9034	51.6496
Clare_Island_MODELLED	-9.9443	53.8019
Crosshaven_MODELLED	-8.2411	51.7794
Dingle	-10.27732	52.13924
Dublin_Port	-6.22166	53.34574
Dungarvan_MODELLED	-7.5521	52.0672
Dunmore	-6.99166	52.14754
Fenit	-9.8644	52.27129
Galway	-9.04796	53.26895
Howth	-6.0683	53.39148
Inishmore	-9.66	53.126
Killary_Harbour_MODELLED	-9.9016	53.6316
Killybegs	-8.3949	54.6364
Kilrush	-9.50208	52.63191
Kinsale_MODELLED	-8.446	51.6777
Lahinch_MODELLED	-9.3899	52.911
Letterfrack_MODELLED	-10.0388	53.582
Malin_Head	-7.33432	55.37168
Port_Oriel	-6.221713	53.79899
Ringaskiddy	-8.304	51.84
Roonagh	-9.90442	53.76235
Rossaveel	-9.562056	53.26693
Rosslare	-6.334861	52.2546
Skerries	-6.108117	53.585
Sligo	-8.5689	54.3046
Tom_Clarke_Bridge	-6.227383	53.34623
Tory_Island_MODELLED	-8.1962	55.2508
Union_Hall	-9.1335	51.559
Wexford	-6.4589	52.33852
Wicklow_MODELLED	-6.0127	52.9889

In total, there are 37 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.
 

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Related Data Counts

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.
 

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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.

 

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