Subset

Dataset Title:	OCARINA BBWAVES 2015 experiment, prototype 2, level 2 surface and air-sea turbulent fluxes
Institution:	MIO UMR7294 CNRS (Dataset ID: BBWAVES_2015_proto2_0c15_7ba6_2c7c)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form \| Files \| Make a graph

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Select a subset: (Current number of distinct combinations of matching data: 1)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

z	= m	1 option: 1.65
zt	= m	1 option: 1.07
zd	= m	1 option: 0.2
station_name	=	1 option: OCARINA wave-following air-sea flux platform prototype #2

View: Map of All Related Data Distinct Data Counts Distinct Data Related Data Counts Related Data

Map of All Related Data

(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.

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.

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

z	zt	zd	station_name
m	m	m
1.65	1.07	0.2	OCARINA wave-following air-sea flux platform prototype #2

In total, there are 1 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.

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.

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.