ERDDAP > tabledap > Subset

Dataset Title:	The Baltic Expedition 1901 of the German sea fisheries association
Institution:	CAU-IFM-GEOMAR   (Dataset ID: heidrich)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Files | Make a graph

Select a subset:      (Current number of distinct combinations of matching data: 31)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

ScientificName	= (ANY) Bathyporeia pilosa Bylgides sarsi Calliopius laeviusculus Campanularia Cerastoderma edule Corbula gibba Corophium volutator Crangon crangon Diastylis rathkei Electra pilosa Gammarus locusta Hydrobia Idotea balthica Jaera albifrons Macoma balthica Mysis mixta Mytilus edulis Nemertea Neomysis integer Nephtys ciliata Oligochaeta Piscicola geometra Platynereis dumerilii Pontoporeia affinis Pontoporeia femorata Praunus flexuosa Praunus inermis Saduria entomon Scoloplos armiger Terebellides stroemii Vorticellidae  Not applicable	31 options
BasisOfRecord	= (ANY) D  None	1 option: D
YearCollected	= (ANY) 1901.0  None	1 option: 1901.0
aphia_id	= (ANY) 2036.0  Not applicable	2 options

View:      Map of All Related Data      Distinct Data Counts     Distinct Data  0 10 100 1000 10000 100000      Related Data Counts     Related Data  0 10 100 1000 10000 100000

 

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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.
 

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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.
 

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Distinct Data   (Metadata)    (Refine the data subset and/or download the data)  

ScientificName	BasisOfRecord	YearCollected	aphia_id
Not applicable	None	None	Not applicable
Bathyporeia pilosa	D	1901.0
Bylgides sarsi	D	1901.0
Calliopius laeviusculus	D	1901.0
Campanularia	D	1901.0
Cerastoderma edule	D	1901.0
Corbula gibba	D	1901.0
Corophium volutator	D	1901.0
Crangon crangon	D	1901.0
Diastylis rathkei	D	1901.0
Electra pilosa	D	1901.0
Gammarus locusta	D	1901.0
Hydrobia	D	1901.0
Idotea balthica	D	1901.0
Jaera albifrons	D	1901.0
Macoma balthica	D	1901.0
Mysis mixta	D	1901.0
Mytilus edulis	D	1901.0
Nemertea	D	1901.0
Neomysis integer	D	1901.0
Nephtys ciliata	D	1901.0
Oligochaeta	D	1901.0	2036.0
Piscicola geometra	D	1901.0
Platynereis dumerilii	D	1901.0
Pontoporeia affinis	D	1901.0
Pontoporeia femorata	D	1901.0
Praunus flexuosa	D	1901.0
Praunus inermis	D	1901.0
Saduria entomon	D	1901.0
Scoloplos armiger	D	1901.0
Terebellides stroemii	D	1901.0
Vorticellidae	D	1901.0

In total, there are 31 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.
 

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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.
 

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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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