Subset

Dataset Title:	F01 Sbe37 - CTD
Institution:	Univ. of Maine (Dataset ID: F01_sbe37_all)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form \| Make a graph

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Select a subset: (Current number of distinct combinations of matching data: 13)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

station	=	1 option: F01
longitude	= degrees_east	5 options
latitude	= degrees_north	5 options
depth	= m	4 options

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

Map of Distinct Data

(Refine the map and/or download the image)
Optional: Click on the map to select the closest 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)

station	longitude	latitude	depth
	degrees_east	degrees_north	m
F01	-68.99715	44.054867	1.0
F01	-68.99715	44.054867	10.0
F01	-68.99715	44.054867	20.0
F01	-68.99715	44.054867	50.0
F01	-68.99689	44.054947	1.0
F01	-68.99689	44.054947	10.0
F01	-68.99689	44.054947	20.0
F01	-68.99674	44.055218	1.0
F01	-68.99674	44.055218	20.0
F01	-68.99672	44.0556	20.0
F01	-68.99635	44.05597	10.0
F01	-68.99635	44.05597	20.0
F01	-68.99635	44.05597	50.0

In total, there are 13 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.