ERDDAP > tabledap > Subset

Dataset Title:	XCRX CARICOOS-WeatherFlow Meteorological Station
Institution:	CARICOOS   (Dataset ID: XCRX_f205_f7b9_2a42)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Make a graph

Select a subset:      (Current number of distinct combinations of matching data: 124)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

latitude	= (ANY) 17.67771  degrees_north	1 option: 17.67771
longitude	= (ANY) -64.89989  degrees_east	1 option: -64.89989
station	= (ANY)	1 option:
RelHum	= (ANY) 48.8 49.2 49.6 50.0 50.4 50.8 51.2 51.6 52.0 52.4 52.8 53.2 53.6 54.0 54.4 54.8 55.2 55.6 56.0 56.4 56.8 57.2 57.6 58.0 58.4 58.8 59.2 59.6 60.0 60.4 60.8 61.2 61.6 62.0 62.4 62.8 63.2 63.6 64.0 64.4 64.8 65.2 65.6 66.0 66.4 66.8 67.2 67.6 68.0 68.4 68.8 69.2 69.6 70.0 70.4 70.8 71.2 71.6 72.0 72.4 72.8 73.2 73.6 74.0 74.4 74.8 75.2 75.6 76.0 76.4 76.8 77.2 77.6 78.0 78.4 78.8 79.2 79.6 80.0 80.4 80.8 81.2 81.6 82.0 82.4 82.8 83.2 83.6 84.0 84.4 84.8 85.2 85.6 86.0 86.4 86.8 87.2 87.6 88.0 88.4 88.8 89.2 89.6 90.0 90.4 90.8 91.2 91.6 92.0 92.4 92.8 93.2 93.6 94.0 94.4 94.8 95.2 95.6 96.0 96.4 96.8 97.2 97.6 NaN  percent	124 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)  

latitude	longitude	station	RelHum
degrees_north	degrees_east		percent
17.67771	-64.89989		48.8
17.67771	-64.89989		49.2
17.67771	-64.89989		49.6
17.67771	-64.89989		50.0
17.67771	-64.89989		50.4
17.67771	-64.89989		50.8
17.67771	-64.89989		51.2
17.67771	-64.89989		51.6
17.67771	-64.89989		52.0
17.67771	-64.89989		52.4
17.67771	-64.89989		52.8
17.67771	-64.89989		53.2
17.67771	-64.89989		53.6
17.67771	-64.89989		54.0
17.67771	-64.89989		54.4
17.67771	-64.89989		54.8
17.67771	-64.89989		55.2
17.67771	-64.89989		55.6
17.67771	-64.89989		56.0
17.67771	-64.89989		56.4
17.67771	-64.89989		56.8
17.67771	-64.89989		57.2
17.67771	-64.89989		57.6
17.67771	-64.89989		58.0
17.67771	-64.89989		58.4
17.67771	-64.89989		58.8
17.67771	-64.89989		59.2
17.67771	-64.89989		59.6
17.67771	-64.89989		60.0
17.67771	-64.89989		60.4
17.67771	-64.89989		60.8
17.67771	-64.89989		61.2
17.67771	-64.89989		61.6
17.67771	-64.89989		62.0
17.67771	-64.89989		62.4
17.67771	-64.89989		62.8
17.67771	-64.89989		63.2
17.67771	-64.89989		63.6
17.67771	-64.89989		64.0
17.67771	-64.89989		64.4
17.67771	-64.89989		64.8
17.67771	-64.89989		65.2
17.67771	-64.89989		65.6
17.67771	-64.89989		66.0
17.67771	-64.89989		66.4
17.67771	-64.89989		66.8
17.67771	-64.89989		67.2
17.67771	-64.89989		67.6
17.67771	-64.89989		68.0
17.67771	-64.89989		68.4
17.67771	-64.89989		68.8
17.67771	-64.89989		69.2
17.67771	-64.89989		69.6
17.67771	-64.89989		70.0
17.67771	-64.89989		70.4
17.67771	-64.89989		70.8
17.67771	-64.89989		71.2
17.67771	-64.89989		71.6
17.67771	-64.89989		72.0
17.67771	-64.89989		72.4
17.67771	-64.89989		72.8
17.67771	-64.89989		73.2
17.67771	-64.89989		73.6
17.67771	-64.89989		74.0
17.67771	-64.89989		74.4
17.67771	-64.89989		74.8
17.67771	-64.89989		75.2
17.67771	-64.89989		75.6
17.67771	-64.89989		76.0
17.67771	-64.89989		76.4
17.67771	-64.89989		76.8
17.67771	-64.89989		77.2
17.67771	-64.89989		77.6
17.67771	-64.89989		78.0
17.67771	-64.89989		78.4
17.67771	-64.89989		78.8
17.67771	-64.89989		79.2
17.67771	-64.89989		79.6
17.67771	-64.89989		80.0
17.67771	-64.89989		80.4
17.67771	-64.89989		80.8
17.67771	-64.89989		81.2
17.67771	-64.89989		81.6
17.67771	-64.89989		82.0
17.67771	-64.89989		82.4
17.67771	-64.89989		82.8
17.67771	-64.89989		83.2
17.67771	-64.89989		83.6
17.67771	-64.89989		84.0
17.67771	-64.89989		84.4
17.67771	-64.89989		84.8
17.67771	-64.89989		85.2
17.67771	-64.89989		85.6
17.67771	-64.89989		86.0
17.67771	-64.89989		86.4
17.67771	-64.89989		86.8
17.67771	-64.89989		87.2
17.67771	-64.89989		87.6
17.67771	-64.89989		88.0
17.67771	-64.89989		88.4
17.67771	-64.89989		88.8
17.67771	-64.89989		89.2
17.67771	-64.89989		89.6
17.67771	-64.89989		90.0
17.67771	-64.89989		90.4
17.67771	-64.89989		90.8
17.67771	-64.89989		91.2
17.67771	-64.89989		91.6
17.67771	-64.89989		92.0
17.67771	-64.89989		92.4
17.67771	-64.89989		92.8
17.67771	-64.89989		93.2
17.67771	-64.89989		93.6
17.67771	-64.89989		94.0
17.67771	-64.89989		94.4
17.67771	-64.89989		94.8
17.67771	-64.89989		95.2
17.67771	-64.89989		95.6
17.67771	-64.89989		96.0
17.67771	-64.89989		96.4
17.67771	-64.89989		96.8
17.67771	-64.89989		97.2
17.67771	-64.89989		97.6
17.67771	-64.89989

In total, there are 124 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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