Subset

Dataset Title:	EMSO Ligure Dyfamed real-time observations
Institution:	Meteo-France (Dataset ID: Emso_Ligure_Real_Time)
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.

TIME_QC	=	1 option: 1
DEPH_DM	=	1 option:
DEWT_DM	=	1 option:
TEMP_DM	=	1 option:
ATMS_DM	=	1 option:
ATPT_DM	=	1 option:
SWHT_DM	=	1 option:
WDIR_DM	=	1 option:
DRYT_DM	=	1 option:
RELH_DM	=	1 option:
SWPR_DM	=	1 option:
WSPD_DM	=	1 option:

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)

TIME_QC	DEPH_DM	DEWT_DM	TEMP_DM	ATMS_DM	ATPT_DM	SWHT_DM	WDIR_DM	DRYT_DM	RELH_DM	SWPR_DM	WSPD_DM

1

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.