Serving data from the Marine Institute (Ireland)
Brought to you by the Marine Institute(Ireland)
|
Marine Institute ERDDAP Server
Serving data from the Marine Institute (Ireland) |
Brought to you by the Marine Institute(Ireland) |
| Dataset Title: | Harmful Algae Blooms Phytoplankton Archive
|
| Institution: | Marine Institute (Dataset ID: habs_phyto) |
| Information: | Summary
| License
| FGDC
| ISO 19115
| Metadata
| Background
| Data Access Form
| 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)
| aphia_id |
|---|
| 106282 |
| 109435 |
| 109462 |
| 109466 |
| 109467 |
| 109468 |
| 109470 |
| 109473 |
| 109474 |
| 109475 |
| 109476 |
| 109477 |
| 109485 |
| 109486 |
| 109490 |
| 109515 |
| 109518 |
| 109519 |
| 109528 |
| 109538 |
| 109540 |
| 109542 |
| 109545 |
| 109549 |
| 109553 |
| 109557 |
| 109566 |
| 109570 |
| 109571 |
| 11 |
| 110015 |
| 115057 |
| 115088 |
| 115090 |
| 1304629 |
| 134528 |
| 135441 |
| 146203 |
| 146549 |
| 146557 |
| 146585 |
| 146608 |
| 146617 |
| 148912 |
| 148913 |
| 148914 |
| 148917 |
| 148919 |
| 148931 |
| 148947 |
| 148948 |
| 148954 |
| 148963 |
| 148992 |
| 149002 |
| 149012 |
| 149018 |
| 149023 |
| 149028 |
| 149033 |
| 149039 |
| 149042 |
| 149044 |
| 149045 |
| 149050 |
| 149054 |
| 149055 |
| 149060 |
| 149065 |
| 149066 |
| 149069 |
| 149070 |
| 149073 |
| 149074 |
| 149084 |
| 149092 |
| 149093 |
| 149095 |
| 149099 |
| 149100 |
| 149101 |
| 149102 |
| 149106 |
| 149112 |
| 149113 |
| 149115 |
| 149116 |
| 149118 |
| 149120 |
| 149121 |
| 149122 |
| 149123 |
| 149125 |
| 149126 |
| 149127 |
| 149128 |
| 149129 |
| 149130 |
| 149131 |
| 149132 |
| 149134 |
| 149135 |
| 149137 |
| 149138 |
| 149139 |
| 149140 |
| 149142 |
| 149145 |
| 149148 |
| 149150 |
| 149152 |
| 149153 |
| 149158 |
| 149159 |
| 149163 |
| 149168 |
| 149176 |
| 149177 |
| 149181 |
| 149183 |
| 149186 |
| 149191 |
| 149219 |
| 149221 |
| 149228 |
| 149230 |
| 149236 |
| 149238 |
| 149241 |
| 149266 |
| 149271 |
| 149285 |
| 149286 |
| 149289 |
| 149291 |
| 149294 |
| 149308 |
| 149309 |
| 149310 |
| 149313 |
| 149321 |
| 149324 |
| 149333 |
| 149335 |
| 149338 |
| 149342 |
| 149343 |
| 149351 |
| 149516 |
| 149587 |
| 149616 |
| 149619 |
| 149629 |
| 149630 |
| 149631 |
| 149647 |
| 149653 |
| 156607 |
| 156609 |
| 156611 |
| 156617 |
| 156632 |
| 156689 |
| 157066 |
| 157072 |
| 157258 |
| 157430 |
| 157440 |
| 160519 |
| 160521 |
| 160523 |
| 160581 |
| 160584 |
| 160595 |
| 160602 |
| 162724 |
| 162728 |
| 163161 |
| 163247 |
| 163932 |
| 17329 |
| 17638 |
| 17657 |
| 177604 |
| 178185 |
| 179596 |
| 19539 |
| 196815 |
| 231788 |
| 231789 |
| 231793 |
| 232069 |
| 235761 |
| 251745 |
| 292726 |
| 341496 |
| 345491 |
| 345513 |
| 345526 |
| 345529 |
| 369190 |
| 370366 |
| 370367 |
| 391508 |
| 418547 |
| 447730 |
| 464325 |
| 478557 |
| 493821 |
| 494057 |
| 555052 |
| 558243 |
| 573579 |
| 582200 |
| 662198 |
| 732976 |
| 8012 |
| 839991 |
| 839996 |
In total, there are 219 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.