ERDDAP > tabledap > Subset

Dataset Title:	Length and width measurements of nematodes in the Ligurian Sea
Institution:	KNAW-NIOO-KNAW, NIOZ-YES   (Dataset ID: manuela_sc)
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: 109)
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) Acantholaimus Actinonema Aegialoalaimus Amphimonhystrella Anticoma Antomicron Aponema Araeolaimida Bolbolaimus Calomicrolaimus Camacolaimus Campylaimus Ceramonema Cervonema Chromadoridae Comesa Comesomatidae Cyatholaiminae Cyatholaimus Daptonema Dasynemoides Deontolaimus Desmodora Desmodorella Desmodorinae Desmoscolecidae Desmoscolex Dichromadora Diplopeltoides Diplopeltula Disconema Draconema Elzalia Enchelidiidae Enoplida Epsilonema Eubostrichus Fenestrolaimus Filipjevia Gammanema Glochinematinae Greeffiella Halalaiminae Halalaimus Halichoanolaimus Haliplectidae Hopperia Hypodontolaimus Innocuonema Ixonema Laimella Ledovitia Leptolaimoides Leptolaimus Leptosomatidae Linhomoeidae Litinium Longicyatholaimus Marylynnia Metacyatholaimus Metadasynemella Metalinhomoeus Metasphaerolaimus Microlaimidae Microlaimus Minolaimus Molgolaimus Monhysteridae Monhystrella Nannolaimus Nematoda Neotonchidae Odontophora Onyx Oxystomina Oxystominidae Paradesmodora Paramesacanthion Paramicrolaimus Paramonohystera Pararaeolaimus Perepsilonema Pierrickia Polysigma Pomponematinae Porocoma Prototricoma Protricoma Pselionema Richtersia Sabatieria Setoplectus Siphonolaimus Southerniella Sphaerolaimidae Sphaerolaimus Spilophorella Spirobolbolaimus Synonchiella Syringolaimus Tarvaia Thalassoalaimus Theristus Trefusia Trichotheristus Tricoma Tripyloididae Viscosia Wieseria  Not applicable	109 options
BasisOfRecord	= (ANY) O  None	1 option: O
YearCollected	= (ANY) 1985.0  None	1 option: 1985.0
MonthCollected	= (ANY) 9.0  None	1 option: 9.0
DayCollected	= (ANY) 18.0  None	1 option: 18.0
aphia_id	= (ANY) 799.0 2140.0 2162.0 2164.0 2172.0 2176.0 2184.0 2188.0 2192.0 2200.0 2204.0 2208.0 2220.0 2222.0 2264.0 2284.0 2296.0 2298.0 2300.0 2302.0 2304.0 2308.0 2310.0 2312.0 2316.0 2332.0 2334.0 2336.0 2340.0 2344.0 2348.0 2352.0 2354.0 2360.0 2364.0 2366.0 2368.0 2372.0 2380.0 2384.0 2388.0 2392.0 2394.0 2400.0 2406.0 2408.0 2412.0 2418.0 2428.0 2430.0 2432.0 2436.0 2440.0 2442.0 2444.0 2452.0 2456.0 2464.0 2468.0 2470.0 2476.0 2488.0 2496.0 2500.0 2516.0 2520.0 2526.0 2548.0 2552.0 2560.0 2570.0 2592.0 2596.0 2600.0  Not applicable	75 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
Acantholaimus	O	1985.0	9.0	18.0	2304.0
Actinonema	O	1985.0	9.0	18.0	2284.0
Aegialoalaimus	O	1985.0	9.0	18.0	2380.0
Amphimonhystrella	O	1985.0	9.0	18.0
Anticoma	O	1985.0	9.0	18.0	2500.0
Antomicron	O	1985.0	9.0	18.0	2400.0
Aponema	O	1985.0	9.0	18.0	2364.0
Araeolaimida	O	1985.0	9.0	18.0
Bolbolaimus	O	1985.0	9.0	18.0
Calomicrolaimus	O	1985.0	9.0	18.0
Camacolaimus	O	1985.0	9.0	18.0	2392.0
Campylaimus	O	1985.0	9.0	18.0	2436.0
Ceramonema	O	1985.0	9.0	18.0	2384.0
Cervonema	O	1985.0	9.0	18.0	2430.0
Chromadoridae	O	1985.0	9.0	18.0	2162.0
Comesa	O	1985.0	9.0	18.0
Comesomatidae	O	1985.0	9.0	18.0	2184.0
Cyatholaiminae	O	1985.0	9.0	18.0	2220.0
Cyatholaimus	O	1985.0	9.0	18.0	2308.0
Daptonema	O	1985.0	9.0	18.0	2456.0
Dasynemoides	O	1985.0	9.0	18.0	2388.0
Deontolaimus	O	1985.0	9.0	18.0	2394.0
Desmodora	O	1985.0	9.0	18.0	2340.0
Desmodorella	O	1985.0	9.0	18.0
Desmodorinae	O	1985.0	9.0	18.0	2222.0
Desmoscolecidae	O	1985.0	9.0	18.0	2172.0
Desmoscolex	O	1985.0	9.0	18.0	2368.0
Dichromadora	O	1985.0	9.0	18.0	2296.0
Diplopeltoides	O	1985.0	9.0	18.0	2384.0
Diplopeltula	O	1985.0	9.0	18.0	2440.0
Disconema	O	1985.0	9.0	18.0	2488.0
Draconema	O	1985.0	9.0	18.0	2354.0
Elzalia	O	1985.0	9.0	18.0	2456.0
Enchelidiidae	O	1985.0	9.0	18.0	2204.0
Enoplida	O	1985.0	9.0	18.0	2140.0
Epsilonema	O	1985.0	9.0	18.0	2360.0
Eubostrichus	O	1985.0	9.0	18.0	2352.0
Fenestrolaimus	O	1985.0	9.0	18.0	2516.0
Filipjevia	O	1985.0	9.0	18.0	2516.0
Gammanema	O	1985.0	9.0	18.0	2332.0
Glochinematinae	O	1985.0	9.0	18.0
Greeffiella	O	1985.0	9.0	18.0	2372.0
Halalaiminae	O	1985.0	9.0	18.0	2264.0
Halalaimus	O	1985.0	9.0	18.0	2548.0
Halichoanolaimus	O	1985.0	9.0	18.0	2332.0
Haliplectidae	O	1985.0	9.0	18.0	2176.0
Hopperia	O	1985.0	9.0	18.0	2428.0
Hypodontolaimus	O	1985.0	9.0	18.0	2298.0
Innocuonema	O	1985.0	9.0	18.0	2300.0
Ixonema	O	1985.0	9.0	18.0	2364.0
Laimella	O	1985.0	9.0	18.0	2432.0
Ledovitia	O	1985.0	9.0	18.0	2560.0
Leptolaimoides	O	1985.0	9.0	18.0	2406.0
Leptolaimus	O	1985.0	9.0	18.0	2408.0
Leptosomatidae	O	1985.0	9.0	18.0	2200.0
Linhomoeidae	O	1985.0	9.0	18.0	2192.0
Litinium	O	1985.0	9.0	18.0	2548.0
Longicyatholaimus	O	1985.0	9.0	18.0	2308.0
Marylynnia	O	1985.0	9.0	18.0	2310.0
Metacyatholaimus	O	1985.0	9.0	18.0	2312.0
Metadasynemella	O	1985.0	9.0	18.0	2388.0
Metalinhomoeus	O	1985.0	9.0	18.0	2476.0
Metasphaerolaimus	O	1985.0	9.0	18.0
Microlaimidae	O	1985.0	9.0	18.0	2172.0
Microlaimus	O	1985.0	9.0	18.0	2366.0
Minolaimus	O	1985.0	9.0	18.0	2316.0
Molgolaimus	O	1985.0	9.0	18.0	2344.0
Monhysteridae	O	1985.0	9.0	18.0	2188.0
Monhystrella	O	1985.0	9.0	18.0
Nannolaimus	O	1985.0	9.0	18.0	2316.0
Nematoda	O	1985.0	9.0	18.0	799.0
Neotonchidae	O	1985.0	9.0	18.0	2164.0
Odontophora	O	1985.0	9.0	18.0	2418.0
Onyx	O	1985.0	9.0	18.0	2596.0
Oxystomina	O	1985.0	9.0	18.0	2552.0
Oxystominidae	O	1985.0	9.0	18.0	2200.0
Paradesmodora	O	1985.0	9.0	18.0	2340.0
Paramesacanthion	O	1985.0	9.0	18.0	2520.0
Paramicrolaimus	O	1985.0	9.0	18.0	2408.0
Paramonohystera	O	1985.0	9.0	18.0	2464.0
Pararaeolaimus	O	1985.0	9.0	18.0	2442.0
Perepsilonema	O	1985.0	9.0	18.0
Pierrickia	O	1985.0	9.0	18.0	2432.0
Polysigma	O	1985.0	9.0	18.0	2348.0
Pomponematinae	O	1985.0	9.0	18.0	2220.0
Porocoma	O	1985.0	9.0	18.0
Prototricoma	O	1985.0	9.0	18.0
Protricoma	O	1985.0	9.0	18.0
Pselionema	O	1985.0	9.0	18.0	2388.0
Richtersia	O	1985.0	9.0	18.0	2334.0
Sabatieria	O	1985.0	9.0	18.0	2432.0
Setoplectus	O	1985.0	9.0	18.0	2600.0
Siphonolaimus	O	1985.0	9.0	18.0	2496.0
Southerniella	O	1985.0	9.0	18.0	2444.0
Sphaerolaimidae	O	1985.0	9.0	18.0	2188.0
Sphaerolaimus	O	1985.0	9.0	18.0	2452.0
Spilophorella	O	1985.0	9.0	18.0	2302.0
Spirobolbolaimus	O	1985.0	9.0	18.0
Synonchiella	O	1985.0	9.0	18.0	2336.0
Syringolaimus	O	1985.0	9.0	18.0	2526.0
Tarvaia	O	1985.0	9.0	18.0	2412.0
Thalassoalaimus	O	1985.0	9.0	18.0	2552.0
Theristus	O	1985.0	9.0	18.0	2468.0
Trefusia	O	1985.0	9.0	18.0	2592.0
Trichotheristus	O	1985.0	9.0	18.0	2470.0
Tricoma	O	1985.0	9.0	18.0	2380.0
Tripyloididae	O	1985.0	9.0	18.0	2208.0
Viscosia	O	1985.0	9.0	18.0	2570.0
Wieseria	O	1985.0	9.0	18.0	2552.0

In total, there are 109 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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