![]() |
EUROBIS data served via ERDDAP
Easier access to scientific data |
Brought to you by VLIZ Eurobis |
Dataset Title: | Phytoplankton data collected in the Black Sea, Bosporus area during a cruise of the R/V "Mgla", year 1969 ![]() ![]() |
Institution: | NASU-IBSS (Dataset ID: phytoplankton_blacksea_1969) |
Information: | Summary ![]() ![]() ![]() |
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)
ScientificName | BasisOfRecord | YearCollected | MonthCollected | DayCollected | aphia_id |
---|---|---|---|---|---|
Not applicable | None | None | None | None | Not applicable |
Cerataulina bergonii | HumanObservation | 1969.0 | 5.0 | 15.0 | |
Ceratium fusus | HumanObservation | 1969.0 | 5.0 | 15.0 | |
Ceratium tripos | HumanObservation | 1969.0 | 5.0 | 15.0 | |
Chaetoceros compressus | HumanObservation | 1969.0 | 5.0 | 15.0 | |
Chaetoceros curvisetus | HumanObservation | 1969.0 | 5.0 | 15.0 | |
Chaetoceros simplex | HumanObservation | 1969.0 | 5.0 | 15.0 | |
Coccolithus huxleyi | HumanObservation | 1969.0 | 5.0 | 15.0 | |
Cochlodinium sp. | HumanObservation | 1969.0 | 5.0 | 15.0 | |
Cyanophyceae sp. | HumanObservation | 1969.0 | 5.0 | 15.0 | |
Cyclotella caspia | HumanObservation | 1969.0 | 5.0 | 15.0 | |
Dinophysis ovum | HumanObservation | 1969.0 | 5.0 | 15.0 | |
Distephanus speculum | HumanObservation | 1969.0 | 5.0 | 15.0 | |
Exuviaella cordata | HumanObservation | 1969.0 | 5.0 | 15.0 | |
Exuviaella marina | HumanObservation | 1969.0 | 5.0 | 15.0 | |
Flagellates sp. | HumanObservation | 1969.0 | 5.0 | 15.0 | |
Glenodinium paululum | HumanObservation | 1969.0 | 5.0 | 15.0 | |
Gonyaulax minima | HumanObservation | 1969.0 | 5.0 | 15.0 | |
Gymnodinium sp. | HumanObservation | 1969.0 | 5.0 | 15.0 | |
Gymnodinium wulfii | HumanObservation | 1969.0 | 5.0 | 15.0 | |
Gyrodinium sp. | HumanObservation | 1969.0 | 5.0 | 15.0 | |
Hillea fusiformis | HumanObservation | 1969.0 | 5.0 | 15.0 | |
Meringosphaera mediterranea | HumanObservation | 1969.0 | 5.0 | 15.0 | |
Navicula sp. | HumanObservation | 1969.0 | 5.0 | 15.0 | |
Nitzschia seriata | HumanObservation | 1969.0 | 5.0 | 15.0 | |
Nitzschia tenuirostris | HumanObservation | 1969.0 | 5.0 | 15.0 | |
Peridinium minusculum | HumanObservation | 1969.0 | 5.0 | 15.0 | |
Peridinium trochoideum | HumanObservation | 1969.0 | 5.0 | 15.0 | |
Poropila dubia | HumanObservation | 1969.0 | 5.0 | 15.0 | |
Pronoctiluca sp. | HumanObservation | 1969.0 | 5.0 | 15.0 | |
Prorocentrum micans | HumanObservation | 1969.0 | 5.0 | 15.0 | |
Prorocentrum obtusum | HumanObservation | 1969.0 | 5.0 | 15.0 | |
Pyrrhophyta sp. | HumanObservation | 1969.0 | 5.0 | 15.0 | |
Rhizosolenia alata | HumanObservation | 1969.0 | 5.0 | 15.0 | |
Rhizosolenia calcar-avis | HumanObservation | 1969.0 | 5.0 | 15.0 | |
Sceletonema costatum | HumanObservation | 1969.0 | 5.0 | 15.0 | |
Spirulina sp. | HumanObservation | 1969.0 | 5.0 | 15.0 | |
Thalassionema nitzschioides | HumanObservation | 1969.0 | 5.0 | 15.0 | |
Thalassiosira parva | HumanObservation | 1969.0 | 5.0 | 15.0 |
In total, there are 38 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.