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Dataset Title:  Monthly transect study of Gracilaria salicornia and other algae at MacKenzie
Point (February-March-April-May 1986)
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Institution:  VLIZ, KMFRI   (Dataset ID: gracilaria_mackenzie_1986)
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   18 options
    BasisOfRecord ?  =  None   1 option: HumanObservation
    YearCollected ?  =  None   1 option: 1986.0
    MonthCollected ?  =  None   4 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 MonthCollected aphia_id
Not applicable None None None Not applicable
Acrocystis nana HumanObservation 1986.0 2.0
Boodlea composita HumanObservation 1986.0 2.0
Boodlea composita HumanObservation 1986.0 3.0
Boodlea composita HumanObservation 1986.0 4.0
Centroceras clavulatum HumanObservation 1986.0 2.0
Centroceras clavulatum HumanObservation 1986.0 3.0
Centroceras clavulatum HumanObservation 1986.0 4.0
Centroceras clavulatum HumanObservation 1986.0 5.0
Chaetomorpha crassa HumanObservation 1986.0 3.0
Chaetomorpha crassa HumanObservation 1986.0 4.0
Cystoseira myrica HumanObservation 1986.0 2.0
Enteromorpha kylinii HumanObservation 1986.0 2.0
Enteromorpha kylinii HumanObservation 1986.0 3.0
Enteromorpha kylinii HumanObservation 1986.0 4.0
Enteromorpha kylinii HumanObservation 1986.0 5.0
Enteromorpha ramulosa HumanObservation 1986.0 5.0
Gracilaria salicornia HumanObservation 1986.0 2.0
Gracilaria salicornia HumanObservation 1986.0 3.0
Gracilaria salicornia HumanObservation 1986.0 4.0
Gracilaria salicornia HumanObservation 1986.0 5.0
Hypnea nidulans HumanObservation 1986.0 5.0
Hypnea pannosa HumanObservation 1986.0 3.0
Hypnea pannosa HumanObservation 1986.0 4.0
Laurencia papillosa HumanObservation 1986.0 2.0
Laurencia papillosa HumanObservation 1986.0 5.0
Laurencia venusta HumanObservation 1986.0 2.0
Lyngbya sp. HumanObservation 1986.0 2.0
Lyngbya sp. HumanObservation 1986.0 3.0
Lyngbya sp. HumanObservation 1986.0 4.0
Monostroma sp. HumanObservation 1986.0 5.0
Padina boriana HumanObservation 1986.0 5.0
Thalassia hemprichii HumanObservation 1986.0 2.0
Thalassia hemprichii HumanObservation 1986.0 3.0
Thalassia hemprichii HumanObservation 1986.0 4.0
Thalassia hemprichii HumanObservation 1986.0 5.0
Ulva pertusa HumanObservation 1986.0 2.0
Ulva pertusa HumanObservation 1986.0 5.0
Ulva reticulata HumanObservation 1986.0 5.0

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.
 


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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