ERDDAP > tabledap > Subset

Dataset Title:	BEWREMABI dataset: Belgian Shipwreck - hotspots for Marine Biodiversity: Meiofauna
Institution:	UGent-MARBIOL, BELSPO   (Dataset ID: bewremabi_meiofauna)
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: 79)
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) Acanthonchus Amphipoda Anoplostoma Anticoma Araeolaimus Camacolaimus Chromadorella Cladocera Cnidaria Copepoda Daptonema Deontostoma Desmodora Desmolaimus Eleutherolaimus Elzalia Enoplus Eurystomina Gammanema Halalaimus Leptolaimus Longicyatholaimus Mitrocomella Molgolaimus Oligochaeta Oncholaimus Ostracoda Paracanthonchus Paramonhystera Polychaeta Polygastrophora Pontonema Prochromadorella Prooncholaimus Rhabdodemania Sabatieria Spilophorella Spirinia Syringolaimus Tardigrada Theristus Tubolaimoides Viscosia  Not applicable	43 options
BasisOfRecord	= (ANY) O  None	1 option: O
YearCollected	= (ANY) 2004.0  None	2 options
MonthCollected	= (ANY) 4.0 7.0  None	3 options
DayCollected	= (ANY) 2.0 26.0  None	3 options
sex	= (ANY) U  None	1 option: U
aphia_id	= (ANY) 883.0 1076.0 1078.0 1080.0 1135.0 1267.0 1276.0 2036.0 2278.0 2280.0 2302.0 2308.0 2320.0 2332.0 2340.0 2344.0 2350.0 2392.0 2408.0 2414.0 2432.0 2436.0 2456.0 2468.0 2474.0 2480.0 2498.0 2500.0 2504.0 2526.0 2544.0 2548.0 2560.0 2564.0 2570.0 2572.0 2574.0 2580.0 2584.0  Not applicable	40 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	MonthCollected	DayCollected	sex	aphia_id
Not applicable	None	None	None	None	None	Not applicable
Acanthonchus	O	2004.0	4.0	2.0	U	2320.0
Acanthonchus	O	2004.0	7.0	26.0	U	2320.0
Amphipoda	O	2004.0	4.0	2.0	U	1135.0
Amphipoda	O	2004.0	7.0	26.0	U	1135.0
Amphipoda	O				U	1135.0
Anoplostoma	O	2004.0	4.0	2.0	U	2498.0
Anoplostoma	O	2004.0	7.0	26.0	U	2498.0
Anticoma	O	2004.0	4.0	2.0	U	2500.0
Anticoma	O	2004.0	7.0	26.0	U	2500.0
Anticoma	O				U	2500.0
Araeolaimus	O	2004.0	4.0	2.0	U	2436.0
Araeolaimus	O	2004.0	7.0	26.0	U	2436.0
Camacolaimus	O	2004.0	7.0	26.0	U	2392.0
Chromadorella	O	2004.0	4.0	2.0	U	2278.0
Chromadorella	O	2004.0	7.0	26.0	U	2278.0
Chromadorella	O				U	2278.0
Cladocera	O	2004.0	4.0	2.0	U	1076.0
Cladocera	O	2004.0	7.0	26.0	U	1076.0
Cnidaria	O	2004.0	4.0	2.0	U	1267.0
Cnidaria	O	2004.0	7.0	26.0	U	1267.0
Copepoda	O	2004.0	4.0	2.0	U	1080.0
Copepoda	O	2004.0	7.0	26.0	U	1080.0
Copepoda	O				U	1080.0
Daptonema	O	2004.0	4.0	2.0	U	2456.0
Daptonema	O	2004.0	7.0	26.0	U	2456.0
Deontostoma	O	2004.0	4.0	2.0	U	2544.0
Deontostoma	O	2004.0	7.0	26.0	U	2544.0
Desmodora	O	2004.0	4.0	2.0	U	2340.0
Desmodora	O	2004.0	7.0	26.0	U	2340.0
Desmolaimus	O	2004.0	7.0	26.0	U	2474.0
Eleutherolaimus	O	2004.0	7.0	26.0	U	2480.0
Elzalia	O	2004.0	7.0	26.0	U	2456.0
Enoplus	O	2004.0	4.0	2.0	U	2504.0
Enoplus	O	2004.0	7.0	26.0	U	2504.0
Enoplus	O				U	2504.0
Eurystomina	O	2004.0	4.0	2.0	U	2560.0
Eurystomina	O	2004.0	7.0	26.0	U	2560.0
Gammanema	O	2004.0	7.0	26.0	U	2332.0
Halalaimus	O	2004.0	4.0	2.0	U	2548.0
Halalaimus	O	2004.0	7.0	26.0	U	2548.0
Leptolaimus	O	2004.0	4.0	2.0	U	2408.0
Leptolaimus	O	2004.0	7.0	26.0	U	2408.0
Leptolaimus	O				U	2408.0
Longicyatholaimus	O	2004.0	4.0	2.0	U	2308.0
Longicyatholaimus	O	2004.0	7.0	26.0	U	2308.0
Mitrocomella	O	2004.0	4.0	2.0	U
Mitrocomella	O	2004.0	7.0	26.0	U
Molgolaimus	O	2004.0	4.0	2.0	U	2344.0
Oligochaeta	O	2004.0	4.0	2.0	U	2036.0
Oligochaeta	O	2004.0	7.0	26.0	U	2036.0
Oncholaimus	O	2004.0	7.0	26.0	U	2572.0
Ostracoda	O	2004.0	4.0	2.0	U	1078.0
Ostracoda	O	2004.0	7.0	26.0	U	1078.0
Paracanthonchus	O	2004.0	4.0	2.0	U	2320.0
Paracanthonchus	O	2004.0	7.0	26.0	U	2320.0
Paramonhystera	O	2004.0	4.0	2.0	U
Paramonhystera	O	2004.0	7.0	26.0	U
Polychaeta	O	2004.0	4.0	2.0	U	883.0
Polychaeta	O	2004.0	7.0	26.0	U	883.0
Polygastrophora	O	2004.0	7.0	26.0	U	2564.0
Pontonema	O	2004.0	4.0	2.0	U	2580.0
Pontonema	O	2004.0	7.0	26.0	U	2580.0
Prochromadorella	O	2004.0	4.0	2.0	U	2280.0
Prochromadorella	O	2004.0	7.0	26.0	U	2280.0
Prochromadorella	O				U	2280.0
Prooncholaimus	O	2004.0	4.0	2.0	U	2574.0
Prooncholaimus	O	2004.0	7.0	26.0	U	2574.0
Rhabdodemania	O	2004.0	7.0	26.0	U	2584.0
Sabatieria	O	2004.0	7.0	26.0	U	2432.0
Spilophorella	O	2004.0	7.0	26.0	U	2302.0
Spirinia	O	2004.0	7.0	26.0	U	2350.0
Syringolaimus	O	2004.0	4.0	2.0	U	2526.0
Syringolaimus	O	2004.0	7.0	26.0	U	2526.0
Tardigrada	O	2004.0	7.0	26.0	U	1276.0
Theristus	O	2004.0	7.0	26.0	U	2468.0
Theristus	O				U	2468.0
Tubolaimoides	O	2004.0	7.0	26.0	U	2414.0
Viscosia	O	2004.0	4.0	2.0	U	2570.0
Viscosia	O	2004.0	7.0	26.0	U	2570.0

In total, there are 79 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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