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Dataset Title:  Planktonic copepods from coastal and inshore waters of Tudor Creek,
Mombasa (December 1984-March 1985)
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Institution:  VUB-ECOL, VLIZ, KMFRI   (Dataset ID: copepods_mombasa_1984_1985)
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: 52)
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   52 options
    BasisOfRecord ?  =  None   1 option: HumanObservation
    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 aphia_id
Not applicable None Not applicable
Acartia bispinosa HumanObservation
Acartia danae HumanObservation
Acrocalanus longicornis HumanObservation
Calanopia elliptica HumanObservation
Candacia bispinosa HumanObservation
Candacia catula HumanObservation
Candacia longimana HumanObservation
Candacia magna HumanObservation
Candacia pachydactyla HumanObservation
Candacia simplex HumanObservation
Canthocalanus pauper HumanObservation
Centropages brachiatus HumanObservation
Centropages furcatus HumanObservation
Centropages gracilis HumanObservation
Centropages orsinii HumanObservation
Clausocalanus farrani HumanObservation
Copilia mirabilis HumanObservation
Copilia quadrata HumanObservation
Corycaeus spp. HumanObservation
Eucalanus sp. HumanObservation
Euchaeta marina HumanObservation
Euchaeta pubera HumanObservation
Euchaeta tenuis HumanObservation
Euterpina acutifrons HumanObservation
Harpacticella spp. HumanObservation
Labidocera acuta HumanObservation
Labidocera detruncatum HumanObservation
Labidocera kroyeri HumanObservation
Lucicutia flavicornis HumanObservation
Macrosetella gracilis HumanObservation
Microsetella rosea HumanObservation
Monstrillidae HumanObservation
Oithona plumifera HumanObservation
Oithona setigera HumanObservation
Oncaea mediterranea HumanObservation
Oncaea venusta HumanObservation
Paracalanus aculeatus HumanObservation
Pleuromamma indica HumanObservation
Pleuromamma piseki HumanObservation
Pontellina plumata HumanObservation
Pontellopsis herdmani HumanObservation
Rhincalanus cornutus HumanObservation
Saphirella tropica HumanObservation
Sapphirina auronitens sinuicauda HumanObservation
Sapphirina nigromaculata HumanObservation
Sapphirina ovatolanceolata gemma HumanObservation
Scolecithrix danae HumanObservation
Temora discaudata HumanObservation
Temora stylifera HumanObservation
Temora turbinata HumanObservation
Tortanus barbatus HumanObservation
Undinula vulgaris HumanObservation

In total, there are 52 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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