ERDDAP > tabledap > Subset

Dataset Title:	XMRS CARICOOS-WeatherFlow Meteorological Station
Institution:	CARICOOS   (Dataset ID: XMRS_1f50_2bfb_d7a2)
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: 133)
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) 17.92859  degrees_north	1 option: 17.92859
longitude	= (ANY) -66.1597  degrees_east	1 option: -66.1597
station	= (ANY)	1 option:
RelHum	= (ANY) 39.6 40.8 41.2 41.6 42.4 43.2 43.6 44.8 45.2 46.0 46.8 47.2 47.6 48.0 48.4 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 NaN  percent	133 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
17.92859	-66.1597		39.6
17.92859	-66.1597		40.8
17.92859	-66.1597		41.2
17.92859	-66.1597		41.6
17.92859	-66.1597		42.4
17.92859	-66.1597		43.2
17.92859	-66.1597		43.6
17.92859	-66.1597		44.8
17.92859	-66.1597		45.2
17.92859	-66.1597		46.0
17.92859	-66.1597		46.8
17.92859	-66.1597		47.2
17.92859	-66.1597		47.6
17.92859	-66.1597		48.0
17.92859	-66.1597		48.4
17.92859	-66.1597		48.8
17.92859	-66.1597		49.2
17.92859	-66.1597		49.6
17.92859	-66.1597		50.0
17.92859	-66.1597		50.4
17.92859	-66.1597		50.8
17.92859	-66.1597		51.2
17.92859	-66.1597		51.6
17.92859	-66.1597		52.0
17.92859	-66.1597		52.4
17.92859	-66.1597		52.8
17.92859	-66.1597		53.2
17.92859	-66.1597		53.6
17.92859	-66.1597		54.0
17.92859	-66.1597		54.4
17.92859	-66.1597		54.8
17.92859	-66.1597		55.2
17.92859	-66.1597		55.6
17.92859	-66.1597		56.0
17.92859	-66.1597		56.4
17.92859	-66.1597		56.8
17.92859	-66.1597		57.2
17.92859	-66.1597		57.6
17.92859	-66.1597		58.0
17.92859	-66.1597		58.4
17.92859	-66.1597		58.8
17.92859	-66.1597		59.2
17.92859	-66.1597		59.6
17.92859	-66.1597		60.0
17.92859	-66.1597		60.4
17.92859	-66.1597		60.8
17.92859	-66.1597		61.2
17.92859	-66.1597		61.6
17.92859	-66.1597		62.0
17.92859	-66.1597		62.4
17.92859	-66.1597		62.8
17.92859	-66.1597		63.2
17.92859	-66.1597		63.6
17.92859	-66.1597		64.0
17.92859	-66.1597		64.4
17.92859	-66.1597		64.8
17.92859	-66.1597		65.2
17.92859	-66.1597		65.6
17.92859	-66.1597		66.0
17.92859	-66.1597		66.4
17.92859	-66.1597		66.8
17.92859	-66.1597		67.2
17.92859	-66.1597		67.6
17.92859	-66.1597		68.0
17.92859	-66.1597		68.4
17.92859	-66.1597		68.8
17.92859	-66.1597		69.2
17.92859	-66.1597		69.6
17.92859	-66.1597		70.0
17.92859	-66.1597		70.4
17.92859	-66.1597		70.8
17.92859	-66.1597		71.2
17.92859	-66.1597		71.6
17.92859	-66.1597		72.0
17.92859	-66.1597		72.4
17.92859	-66.1597		72.8
17.92859	-66.1597		73.2
17.92859	-66.1597		73.6
17.92859	-66.1597		74.0
17.92859	-66.1597		74.4
17.92859	-66.1597		74.8
17.92859	-66.1597		75.2
17.92859	-66.1597		75.6
17.92859	-66.1597		76.0
17.92859	-66.1597		76.4
17.92859	-66.1597		76.8
17.92859	-66.1597		77.2
17.92859	-66.1597		77.6
17.92859	-66.1597		78.0
17.92859	-66.1597		78.4
17.92859	-66.1597		78.8
17.92859	-66.1597		79.2
17.92859	-66.1597		79.6
17.92859	-66.1597		80.0
17.92859	-66.1597		80.4
17.92859	-66.1597		80.8
17.92859	-66.1597		81.2
17.92859	-66.1597		81.6
17.92859	-66.1597		82.0
17.92859	-66.1597		82.4
17.92859	-66.1597		82.8
17.92859	-66.1597		83.2
17.92859	-66.1597		83.6
17.92859	-66.1597		84.0
17.92859	-66.1597		84.4
17.92859	-66.1597		84.8
17.92859	-66.1597		85.2
17.92859	-66.1597		85.6
17.92859	-66.1597		86.0
17.92859	-66.1597		86.4
17.92859	-66.1597		86.8
17.92859	-66.1597		87.2
17.92859	-66.1597		87.6
17.92859	-66.1597		88.0
17.92859	-66.1597		88.4
17.92859	-66.1597		88.8
17.92859	-66.1597		89.2
17.92859	-66.1597		89.6
17.92859	-66.1597		90.0
17.92859	-66.1597		90.4
17.92859	-66.1597		90.8
17.92859	-66.1597		91.2
17.92859	-66.1597		91.6
17.92859	-66.1597		92.0
17.92859	-66.1597		92.4
17.92859	-66.1597		92.8
17.92859	-66.1597		93.2
17.92859	-66.1597		93.6
17.92859	-66.1597		94.0
17.92859	-66.1597		94.4
17.92859	-66.1597		94.8
17.92859	-66.1597		95.2
17.92859	-66.1597

In total, there are 133 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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