Subset

Dataset Title:	Water density data extrapolated by water weight measurements reported in Histoire Physique de la mer (1725) of L.F. Marsili
Institution:	Istituto Nazionale di Geofisica e Vulcanologia, Sede di Roma2 (INGV) (Dataset ID: MARSILI_WATER_DENISTY)
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: 1)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

SDN_EDMO_CODE	=	1 option: 3917
TIME_SEADATANET_QC	=	1 option: 1
depth	= m	1 option: 0.0
DEPTH_SEADATANET_QC	=	1 option: 1
POSITION_SEADATANET_QC	=	1 option: 2

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

Map of All Related Data

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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)

SDN_EDMO_CODE	TIME_SEADATANET_QC	depth	DEPTH_SEADATANET_QC	POSITION_SEADATANET_QC
		m
3917	1	0.0	1	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.