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Dataset Title:  oxygen saturation (OSAT) Profiles Subscribe RSS
Institution:  EMODnet Physics   (Dataset ID: EP_INSITU_OSAT_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: 84)
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 ?  =  84 options
    EP_PLATFORM_CODE ?  =  84 options
    EP_PLATFORM_TYPE ?  =  2 options

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
 
33752 EXRE0228 ML
369019 LATEST_IF000650_20180925112001 CT
369026 LATEST_IF000652_20180925104028 CT
369029 LATEST_IF000653_20180913135304 CT
369032 LATEST_IF000654_20180913133313 CT
369034 LATEST_IF000655_20180913131137 CT
369037 LATEST_IF000655_20180927114535 CT
369039 LATEST_IF000657_20180914122725 CT
369597 LATEST_IF000656_20181008092730 CT
369602 LATEST_IF000657_20181015135613 CT
369609 LATEST_IF000650_20181012105624 CT
371392 LATEST_IF000653_20181212141114 CT
371394 LATEST_IF000654_20181212135404 CT
371395 LATEST_IF000655_20181212133248 CT
371397 LATEST_IF000655_20181226125628 CT
371400 LATEST_IF000656_20181212131311 CT
374178 LATEST_IF000658_20190225142221 CT
374259 LATEST_IF000650_20190227152141 CT
374260 LATEST_IF000652_20190321091754 CT
374261 LATEST_IF000657_20190225144242 CT
374262 LATEST_IF000657_20190320110515 CT
374263 LATEST_IF000658_20190320104515 CT
374264 LATEST_IF000659_20190225140358 CT
374333 LATEST_IF000659_20190320101949 CT
374338 LATEST_IF000653_20190322122624 CT
374339 LATEST_IF000654_20190322121137 CT
374340 LATEST_IF000655_20190322115223 CT
374341 LATEST_IF000656_20190322113608 CT
637467 LATEST_IF000650_20190409124155 CT
637468 LATEST_IF000651_20190409122348 CT
637469 LATEST_IF000652_20190409113530 CT
637470 LATEST_IF000653_20190404114350 CT
637471 LATEST_IF000653_20190416083935 CT
637472 LATEST_IF000654_20190404112219 CT
637473 LATEST_IF000655_20190404105214 CT
637474 LATEST_IF000656_20190404102540 CT
637475 LATEST_IF000656_20190416074728 CT
637476 LATEST_IF000657_20190405115129 CT
637477 LATEST_IF000657_20190417094159 CT
637478 LATEST_IF000658_20190405112643 CT
637479 LATEST_IF000659_20190405110547 CT
637606 LATEST_IF000658_20190424141355 CT
639146 LATEST_IF000650_20190510142205 CT
639147 LATEST_IF000653_20190502104020 CT
639148 LATEST_IF000654_20190502102007 CT
639151 LATEST_IF000655_20190502095336 CT
639154 LATEST_IF000655_20190507121245 CT
639155 LATEST_IF000656_20190502093502 CT
640524 LATEST_IF000650_20190514073615 CT
640526 LATEST_IF000651_20190514072241 CT
640527 LATEST_IF000652_20190514063608 CT
640528 LATEST_IF000653_20190520121156 CT
640529 LATEST_IF000654_20190520115907 CT
640532 LATEST_IF000657_20190522132858 CT
640533 LATEST_IF000655_20190520113559 CT
739765 LATEST_IF000652_20190529064604 CT
739770 LATEST_IF000653_20190604120051 CT
739778 LATEST_IF000655_20190604112039 CT
739781 LATEST_IF000650_20190529075152 CT
739783 LATEST_IF000656_20190604110323 CT
739785 LATEST_IF000657_20190606123825 CT
757017 LATEST_IF000659_20190614084254 CT
757019 LATEST_IF000653_20190618114353 CT
757020 LATEST_IF000655_20190618111225 CT
757021 LATEST_IF000656_20190618105846 CT
757022 LATEST_IF000657_20190614093338 CT
757023 LATEST_IF000658_20190614090445 CT
787669 LATEST_IF000652_20190621120100 CT
787672 LATEST_IF000650_20190621125844 CT
787673 LATEST_IF000651_20190621123502 CT
787772 LATEST_IF000657_20190626053429 CT
790396 LATEST_IF000656_20190702100830 CT
790400 LATEST_IF000657_20190705131858 CT
790402 LATEST_IF000650_20190703114213 CT
790403 LATEST_IF000657_20190715125542 CT
790404 LATEST_IF000658_20190705125312 CT
790406 LATEST_IF000659_20190705122951 CT
790407 LATEST_IF000652_20190703103139 CT
790408 LATEST_IF000653_20190702111010 CT
790409 LATEST_IF000654_20190702105349 CT
833286 LATEST_IF000654_20190805144352 CT
833287 LATEST_IF000655_20190805141430 CT
833288 LATEST_IF000656_20190805135458 CT
833289 LATEST_IF000657_20190801113624 CT

In total, there are 84 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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