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Dataset Title:  Aplacophora distribution data from: Deep-sea fauna of European seas - an
annotated species check-list of benthic invertebrates living deeper than 2000 m
in the seas bordering Europe
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Institution:  WHOI, MSU   (Dataset ID: deepsea_Aplacophora)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files | Make a graph

Select a subset:      (Current number of distinct combinations of matching data: 39)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

    ScientificName ?  =  Not applicable   18 options
    BasisOfRecord ?  =  None   1 option: HumanObservation
    YearCollected ?  =  None   11 options
    aphia_id ?  =  Not applicable   1 option:

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)  

ScientificName BasisOfRecord YearCollected aphia_id
Not applicable None None Not applicable
Acanthomenia arcuata HumanObservation 1976.0
Chevroderma gauson HumanObservation 1972.0
Chevroderma gauson HumanObservation 1976.0
Chevroderma turnerae HumanObservation 1969.0
Chevroderma turnerae HumanObservation 1972.0
Chevroderma turnerae HumanObservation 1973.0
Chevroderma turnerae HumanObservation 1974.0
Chevroderma turnerae HumanObservation 1976.0
Chevroderma turnerae HumanObservation 1980.0
Chevroderma turnerae HumanObservation 1981.0
Chevroderma turnerae HumanObservation
Claviderma gladiatum HumanObservation 1967.0
Falcidens aequabilis HumanObservation 1970.0
Falcidens aequabilis HumanObservation 1972.0
Falcidens thorensis HumanObservation
Kruppomenia delta HumanObservation 1976.0
Kruppomenia levis HumanObservation 1974.0
Kruppomenia levis HumanObservation 1976.0
Lyratoherpia incali HumanObservation 1976.0
Macellomenia aciculata HumanObservation 1976.0
Plawenia sphaera HumanObservation 1967.0
Plawenia sphaera HumanObservation 1976.0
Prochaetoderma yongei HumanObservation 1974.0
Prochaetoderma yongei HumanObservation 1976.0
Prochaetoderma yongei HumanObservation
Psilodens tenuis HumanObservation 1970.0
Scutopus robustus HumanObservation 1970.0
Scutopus robustus HumanObservation 1972.0
Simrothiella margaritacea HumanObservation 1972.0
Spathoderma clenchi HumanObservation 1972.0
Spathoderma clenchi HumanObservation 1974.0
Spathoderma clenchi HumanObservation 1976.0
Spathoderma clenchi HumanObservation 1979.0
Spathoderma clenchi HumanObservation 1980.0
Spathoderma clenchi HumanObservation 1981.0
Spathoderma clenchi HumanObservation
Spathoderma grossum HumanObservation 1976.0
Spathoderma grossum HumanObservation
Spiomenia spiculata HumanObservation 1976.0

In total, there are 39 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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