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Dataset Title:  Porifera 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:  RAS-SIO RAS   (Dataset ID: deepsea_porifera)
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: 38)
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   27 options
    BasisOfRecord ?  =  None   1 option: HumanObservation
    YearCollected ?  =  None   12 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
Amphidiscella atlantica HumanObservation 2004.0
Amphidiscella monai HumanObservation 1995.0
Asconema fristedti nordazoriensis HumanObservation 1982.0
Asconema fristedti nordazoriensis HumanObservation 2000.0
Asconema fristedti nordazoriensis HumanObservation
Asconema megaatrialia megaatrialia HumanObservation 1982.0
Asconema megaatrialia nordiense HumanObservation 1995.0
Atlantisella incognita HumanObservation 1982.0
Bathydorus spinosus HumanObservation
Caulophacus (Caulophacus) arcticus groenlandicus HumanObservation 1993.0
Caulophacus (Caulophacus) arcticus groenlandicus HumanObservation
Caulophacus (Caulophacus)arcticus HumanObservation 2003.0
Chonelasma choanoides HumanObservation 2003.0
Chonelasma choanoides HumanObservation 2004.0
Chonelasma choanoides HumanObservation
Crateromorpha (Neopsacas) variata HumanObservation 2000.0
Doconestes sessilis HumanObservation
Euplectella gibbsa HumanObservation 2004.0
Euplectella gibbsa HumanObservation
Euplectella suberea HumanObservation 1910.0
Euplectella suberea HumanObservation 2004.0
Euplectella suberea HumanObservation
Farrea herdendorfi HumanObservation
Farrea laminaris HumanObservation
Hyalonema (Leptonema) lusitanicum HumanObservation
Lophocalyx biogasi HumanObservation 1974.0
Lophocalyx biogasi HumanObservation 1978.0
Lophocalyx biogasi HumanObservation 1983.0
Lophocalyx pseudovalida HumanObservation 2000.0
Malacosaccus floricomatus HumanObservation 1910.0
Malacosaccus floricomatus HumanObservation
Malacosaccus heteropinularia HumanObservation 2004.0
Malacosaccus unguiculatus HumanObservation 1883.0
Malacosaccus unguiculatus arctica HumanObservation
Pheronema carpenteri HumanObservation
Rhabdopectella tintinnus HumanObservation
Saccocalyx pedunculata HumanObservation
Sympagella cooki HumanObservation

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.
 


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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