ERDDAP > tabledap > Subset

Dataset Title:	Nematodes from Crete sandy beaches
Institution:	HCMR   (Dataset ID: manuela_Hs)
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: 69)
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) Adoncholaimus Anoplostoma Anticoma Araeolaimus Ascolaimus Axonolaimus Bathylaimus Calomicrolaimus Catanema Cephalanticoma Ceramonema Chromadora Chromaspirina Cricolaimus Cyartonema Daptonema Dasynemoides Desmodora Desmodoridae Dichromadora Diplolaimella Enoploides Enoplolaimus Enoplus Epsilonema Eurystomina Gammanema Halalaimus Halichoanolaimus Haliplectus Leptolaimus Leptosomatidae Mesacanthion Metachromadora Metacyatholaimus Metadesmolaimus Microlaimidae Microlaimus Molgolaimus Monhystera Neochromadora Odontophora Oncholaimus Onyx Oxystomina Paracanthonchus Paracyatholaimoides Paralinhomoeus Paramonhystera Platycoma Pomponema Pontonema Praeacanthonchus Procamacolaimus Prochromadorella Pseudonchus Rhabditis Rhabdocoma Rhabdodemania Richtersia Sabatieria Spirinia Synonchium Terschellingia Theristus Trefusia Tricoma Viscosia Xyalidae  Not applicable	69 options
BasisOfRecord	= (ANY) O  None	1 option: O
YearCollected	= (ANY) 1992.0  None	1 option: 1992.0
MonthCollected	= (ANY) 10.0  None	1 option: 10.0
DayCollected	= (ANY) 10.0  None	1 option: 10.0
aphia_id	= (ANY) 2168.0 2172.0 2190.0 2200.0 2276.0 2280.0 2296.0 2300.0 2312.0 2318.0 2320.0 2332.0 2334.0 2336.0 2340.0 2344.0 2346.0 2350.0 2360.0 2366.0 2380.0 2382.0 2384.0 2388.0 2392.0 2398.0 2400.0 2408.0 2416.0 2418.0 2432.0 2436.0 2444.0 2448.0 2456.0 2460.0 2468.0 2480.0 2492.0 2498.0 2500.0 2504.0 2512.0 2516.0 2540.0 2548.0 2552.0 2560.0 2564.0 2570.0 2572.0 2580.0 2584.0 2586.0 2592.0 2596.0  Not applicable	57 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	aphia_id
Not applicable	None	None	None	None	Not applicable
Adoncholaimus	O	1992.0	10.0	10.0	2564.0
Anoplostoma	O	1992.0	10.0	10.0	2498.0
Anticoma	O	1992.0	10.0	10.0	2500.0
Araeolaimus	O	1992.0	10.0	10.0	2436.0
Ascolaimus	O	1992.0	10.0	10.0	2416.0
Axonolaimus	O	1992.0	10.0	10.0	2416.0
Bathylaimus	O	1992.0	10.0	10.0	2586.0
Calomicrolaimus	O	1992.0	10.0	10.0
Catanema	O	1992.0	10.0	10.0
Cephalanticoma	O	1992.0	10.0	10.0
Ceramonema	O	1992.0	10.0	10.0	2384.0
Chromadora	O	1992.0	10.0	10.0	2276.0
Chromaspirina	O	1992.0	10.0	10.0	2344.0
Cricolaimus	O	1992.0	10.0	10.0	2400.0
Cyartonema	O	1992.0	10.0	10.0	2382.0
Daptonema	O	1992.0	10.0	10.0	2456.0
Dasynemoides	O	1992.0	10.0	10.0	2388.0
Desmodora	O	1992.0	10.0	10.0	2340.0
Desmodoridae	O	1992.0	10.0	10.0	2168.0
Dichromadora	O	1992.0	10.0	10.0	2296.0
Diplolaimella	O	1992.0	10.0	10.0	2444.0
Enoploides	O	1992.0	10.0	10.0	2512.0
Enoplolaimus	O	1992.0	10.0	10.0	2512.0
Enoplus	O	1992.0	10.0	10.0	2504.0
Epsilonema	O	1992.0	10.0	10.0	2360.0
Eurystomina	O	1992.0	10.0	10.0	2560.0
Gammanema	O	1992.0	10.0	10.0	2332.0
Halalaimus	O	1992.0	10.0	10.0	2548.0
Halichoanolaimus	O	1992.0	10.0	10.0	2332.0
Haliplectus	O	1992.0	10.0	10.0	2392.0
Leptolaimus	O	1992.0	10.0	10.0	2408.0
Leptosomatidae	O	1992.0	10.0	10.0	2200.0
Mesacanthion	O	1992.0	10.0	10.0	2516.0
Metachromadora	O	1992.0	10.0	10.0	2346.0
Metacyatholaimus	O	1992.0	10.0	10.0	2312.0
Metadesmolaimus	O	1992.0	10.0	10.0	2460.0
Microlaimidae	O	1992.0	10.0	10.0	2172.0
Microlaimus	O	1992.0	10.0	10.0	2366.0
Molgolaimus	O	1992.0	10.0	10.0	2344.0
Monhystera	O	1992.0	10.0	10.0	2448.0
Neochromadora	O	1992.0	10.0	10.0	2300.0
Odontophora	O	1992.0	10.0	10.0	2418.0
Oncholaimus	O	1992.0	10.0	10.0	2572.0
Onyx	O	1992.0	10.0	10.0	2596.0
Oxystomina	O	1992.0	10.0	10.0	2552.0
Paracanthonchus	O	1992.0	10.0	10.0	2320.0
Paracyatholaimoides	O	1992.0	10.0	10.0	2320.0
Paralinhomoeus	O	1992.0	10.0	10.0	2492.0
Paramonhystera	O	1992.0	10.0	10.0
Platycoma	O	1992.0	10.0	10.0	2540.0
Pomponema	O	1992.0	10.0	10.0	2318.0
Pontonema	O	1992.0	10.0	10.0	2580.0
Praeacanthonchus	O	1992.0	10.0	10.0	2312.0
Procamacolaimus	O	1992.0	10.0	10.0	2398.0
Prochromadorella	O	1992.0	10.0	10.0	2280.0
Pseudonchus	O	1992.0	10.0	10.0	2344.0
Rhabditis	O	1992.0	10.0	10.0	2596.0
Rhabdocoma	O	1992.0	10.0	10.0	2592.0
Rhabdodemania	O	1992.0	10.0	10.0	2584.0
Richtersia	O	1992.0	10.0	10.0	2334.0
Sabatieria	O	1992.0	10.0	10.0	2432.0
Spirinia	O	1992.0	10.0	10.0	2350.0
Synonchium	O	1992.0	10.0	10.0	2336.0
Terschellingia	O	1992.0	10.0	10.0	2480.0
Theristus	O	1992.0	10.0	10.0	2468.0
Trefusia	O	1992.0	10.0	10.0	2592.0
Tricoma	O	1992.0	10.0	10.0	2380.0
Viscosia	O	1992.0	10.0	10.0	2570.0
Xyalidae	O	1992.0	10.0	10.0	2190.0

In total, there are 69 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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