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EMODnet Physics ERDDAP
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| Dataset Title: | BDCMOBILEGEAR - Collection of sea temperature, practical salinity (PSAL_TEMP) Profiles - IN SITU MultiPointProfilesObservation
|
| Institution: | BDCMOBILEGEAR (Dataset ID: PR_PSAL_TEMP_BDCMOBILEGEAR) |
| Information: | Summary
| License
| FGDC
| ISO 19115
| Metadata
| Background
| Data Access Form
| Files
| Make a graph
|
(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.
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)
| PLATFORMCODE | SOURCE |
|---|---|
| BDC_1 | bdcmobilegear |
| BDC_10 | bdcmobilegear |
| BDC_14 | bdcmobilegear |
| BDC_19 | bdcmobilegear |
| BDC_2 | bdcmobilegear |
| BDC_20 | bdcmobilegear |
| BDC_28 | bdcmobilegear |
| BDC_3 | bdcmobilegear |
| BDC_4 | bdcmobilegear |
| BDC_5 | bdcmobilegear |
| BDC_7 | bdcmobilegear |
| BDC_8 | bdcmobilegear |
| BDC_9 | bdcmobilegear |
| OMNI-C_1 | bdcmobilegear |
| OMNI-C_2 | bdcmobilegear |
| OMNI-C_3 | bdcmobilegear |
| OMNI-C_4 | bdcmobilegear |
| OMNI-C_5 | bdcmobilegear |
| OMNI-C_6 | bdcmobilegear |
In total, there are 19 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.
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.