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ERDDAP OSU Pytheas
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Erddap est un produit développé par : NOAA ERD |
| Dataset Title: | HTMNET: Hydrodynamique et Transport de Matieres en Suspension: Niveaux Eau et Temperature
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| Institution: | MIO UMR7294 CNRS / OSU Pytheas (Dataset ID: lastDay_cf2a_1330_42fa) |
| Information: | Summary
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| FGDC
| ISO 19115
| Metadata
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(Refine the map and/or download the image)
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)
| station_name | latitude | longitude |
|---|---|---|
| degrees_north | degrees_east | |
| Cannes | 43.1355 | 6.00999 |
| Carro | 43.3297 | 5.04202 |
| Cassis | 43.2134 | 5.53575 |
| Endoume | 43.1352 | 6.01014 |
| Giens | 43.04 | 6.11003 |
| Ifremer | 43.1052 | 5.88565 |
| LaCapte | 43.0654 | 6.1507 |
| LaCiotat | 43.1723 | 5.60829 |
| Lazaret | 43.0805 | 5.90248 |
| LeBrusc | 43.0775 | 5.8035 |
| LeJai | 43.4376 | 5.19446 |
| LesOursinieres | 43.0847 | 6.0195 |
| Menton | 43.7828 | 7.521 |
| Porquerolles | 43.0026 | 6.20152 |
| PortCros | 43.0098 | 6.38195 |
| Redonne | 43.3315 | 5.21834 |
| StChamas | 43.5492 | 5.0238 |
| StElme | 43.0759 | 5.89883 |
| StLouis | 43.1059 | 5.937 |
| StTropez | 43.2707 | 6.63256 |
| Tamaris | 43.091 | 5.90132 |
In total, there are 21 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.