Subset

Dataset Title:	BERRE Observatoire GIPREB : donnees hydrologiques sonde CTD 1994-2023 (CSV)
Institution:	GIPREB - OSU Pytheas (Dataset ID: GIPREB_SondeCTD)
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: 11)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

nom_station	=	10 options
latitude	= degrees_north	10 options
longitude	= degrees_east	10 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)

nom_station	latitude	longitude
	degrees_north	degrees_east
H01	43.5333272	5.0235682
H03	43.4669426	5.0910294
H03	43.4783692	5.0175865
H04	43.5167614	5.0694522
H07	43.5	5.10889
H08	43.4669426	5.0910294
H12	43.4423232	5.0972381
H13	43.415184	5.064785
H16	43.4022	5.13028
H18	43.4424421	5.1847996
H19	43.4711	5.20694

In total, there are 11 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.