ERDDAP > tabledap > Subset

Dataset Title:	EMODnet Physics - Collection of Sea Temperature From Oxygen Sensor (TEMP_DOXY) Profiles - MultiPointProfileObservation
Institution:	EMODnet Physics   (Dataset ID: EP_ERD_INT_TEMP_DOXY_AL_PR_NRT)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Make a graph

Select a subset:      (Current number of distinct combinations of matching data: 31)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

EP_PLATFORM_ID	= (ANY) 1023834 11146 11160 11441 1157703 11930 14217 17100 19634 22608 22713 25389 25390 25391 25392 25393 26501 26648 28172 28760 3110554 33267 5401 687994 7570 7571 7578 790297 9185 968150 990276	31 options
EP_PLATFORM_CODE	= (ANY) 18956 18957 2900776 2901082 2902160 2902215 2902530 58970 61866 6800166 6801501 6801633 6801634 6801635 6801636 6801637 6801638 680166 6801690 68451 68452 68453 68457 68953 68954 68965 68966 68967 68968 68969 68997	31 options
EP_PLATFORM_TYPE	= (ANY) GL_TEMP PF_TEMP	2 options

View:      Map of All Related Data      Distinct Data Counts     Distinct Data  0 10 100 1000 10000 100000      Related Data Counts     Related Data  0 10 100 1000 10000 100000

 

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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.
 

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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.
 

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

EP_PLATFORM_ID	EP_PLATFORM_CODE	EP_PLATFORM_TYPE
1023834	6800166	GL_TEMP
11146	18956	GL_TEMP
11160	68954	GL_TEMP
11441	2902530	PF_TEMP
1157703	6801637	GL_TEMP
11930	18957	GL_TEMP
14217	68997	GL_TEMP
17100	68451	GL_TEMP
19634	68453	GL_TEMP
22608	2900776	PF_TEMP
22713	2901082	PF_TEMP
25389	68965	GL_TEMP
25390	68966	GL_TEMP
25391	68967	GL_TEMP
25392	68968	GL_TEMP
25393	68969	GL_TEMP
26501	2902215	PF_TEMP
26648	61866	GL_TEMP
28172	6801635	GL_TEMP
28760	6801634	GL_TEMP
3110554	6801638	GL_TEMP
33267	6801690	GL_TEMP
5401	58970	GL_TEMP
687994	680166	GL_TEMP
7570	68452	GL_TEMP
7571	68457	GL_TEMP
7578	68953	GL_TEMP
790297	6801501	GL_TEMP
9185	2902160	PF_TEMP
968150	6801633	GL_TEMP
990276	6801636	GL_TEMP

In total, there are 31 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.
 

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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.
 

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

 

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