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Dataset Title:  dissolved oxygen (DOXY) Profiles Subscribe RSS
Institution:  EMODnet Physics   (Dataset ID: EP_INSITU_DOXY_PR)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Make a graph

Select a subset:      (Current number of distinct combinations of matching data: 71)
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 ?  =  71 options
    EP_PLATFORM_CODE ?  =  71 options
    EP_PLATFORM_TYPE ?  =  1 option: CT

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)  

EP_PLATFORM_ID EP_PLATFORM_CODE EP_PLATFORM_TYPE
 
895348 DBFP_20160706094400 CT
895563 DBKR_20140430114612 CT
895564 DBKR_20140501021600 CT
895565 DBKR_20140719151800 CT
895566 DBKR_20141109055500 CT
895862 DBND_20140204073600 CT
895863 DBND_20140317090600 CT
896388 EIGB_20140802115700 CT
896389 EIGB_20140901060500 CT
896391 EIGB_20141101131500 CT
903996 FGTO_20140217102200 CT
903997 FGTO_20140310094400 CT
904000 FGTO_20140602153000 CT
904018 FGTO_20140728122000 CT
904019 FGTO_20140809084100 CT
904020 FGTO_20140901043345 CT
904021 FGTO_20141028145700 CT
904022 FGTO_20141110120600 CT
904025 FGTO_20150208092600 CT
904026 FGTO_20150304052600 CT
904028 FGTO_20150510093600 CT
904030 FGTO_20150826091300 CT
904033 FGTO_20151113103300 CT
904034 FGTO_20151210102800 CT
904035 FGTO_20160205095000 CT
904036 FGTO_20160307135600 CT
904037 FGTO_20160505091400 CT
904040 FGTO_20160813121400 CT
904041 FGTO_20160910100900 CT
904043 FGTO_20161118125700 CT
904044 FGTO_20161210133700 CT
904138 FHQB_20141121233300 CT
904157 FHQB_20141201175700 CT
904172 FHQB_20160404200900 CT
904284 FHQB_20161006044100 CT
904482 FKJB_20150126143400 CT
904987 FKJB_20160701095700 CT
904993 FKJB_20170601083700 CT
905005 FKJB_20170703080000 CT
905006 FKJB_20170801064400 CT
905007 FKJB_20180630142100 CT
905009 FKJB_20180701043500 CT
905059 FKJB_20180901072100 CT
905259 FNFP_20140426195800 CT
905260 FNFP_20140501001400 CT
905261 FNFP_20140601064700 CT
905455 FNFP_20150321133300 CT
905456 FNFP_20150405003100 CT
905457 FNFP_20150501193800 CT
905462 FNFP_20160309172800 CT
905463 FNFP_20160401021700 CT
905464 FNFP_20160501150300 CT
905467 FNFP_20170120102500 CT
905548 FNFP_20170201022000 CT
905608 FNFP_20170301214600 CT
905808 FNFP_20180123103900 CT
905880 FNFP_20180201002900 CT
905958 FNFP_20180301163200 CT
905959 FNFP_20180430212200 CT
905961 FNFP_20180501022600 CT
906272 FNUR_20150930211300 CT
906273 FNUR_20151001120000 CT
906274 FNUR_20160905081904 CT
906275 FNUR_20161114044900 CT
906276 FNUR_20161201134400 CT
906293 FZVN_20140412082500 CT
906294 FZVN_20140503202100 CT
906295 FZVN_20140704171500 CT
912638 OHLV_20160725184200 CT
925807 YLNU_20140429104200 CT
925808 YLNU_20140501094000 CT

In total, there are 71 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.
 


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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