Marine_Species_fts

Data license: CC BY 4.0 · Data source: Novel dataset reveals growing prominence of deep-sea life for marine bioprospecting · About: About MABPAT

1,639 rows

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Link rowid ▼ Species_name Marine_Species_fts rank
1 1 Acanthastrea echinata 10384  
2 2 Acropora aculeus 10384  
3 3 Acropora aspera 10384  
4 4 Acropora digitifera 10384  
5 5 Acropora hyacinthus 10384  
6 6 Acropora millepora 10384  
7 7 Acropora robusta 10384  
8 8 Aequorea coerulescens 10384  
9 9 Aequorea macrodactyla 10384  
10 10 Aequorea victoria 10384  
11 11 Agarivorans albus 10384  
12 12 Alcanivorax borkumensis 10384  
13 13 Alcanivorax jadensis 10384  
14 14 Alexandrium catenella 10384  
15 15 Alexandrium minutum 10384  
16 16 Alexandrium ostenfeldii 10384  
17 17 Alexandrium tamarense 10384  
18 18 Aliivibrio fischeri 10384  
19 19 Aliivibrio salmonicida 10384  
20 20 Alteromonas macleodii 10384  
21 21 Alvinella caudata 10384  
22 22 Alvinella pompejana 10384  
23 23 Amphibalanus amphitrite 10384  
24 24 Anemonia viridis 10384  
25 25 Anguilla japonica 10384  
26 26 Anisakis simplex 10384  
27 27 Arenicola marina 10384  
28 28 Aureococcus anophagefferens 10384  
29 29 Bermanella marisrubri 10384  
30 30 Bigelowiella natans 10384  
31 31 Blastopirellula marina 10384  
32 32 Botryllus schlosseri 10384  
33 33 Branchiostoma belcheri 10384  
34 34 Branchiostoma lanceolatum 10384  
35 35 Bryopsis plumosa 10384  
36 36 Bythograea thermydron 10384  
37 37 Caldithrix abyssi 10384  
38 38 Callinectes sapidus 10384  
39 39 Callorhinchus milii 10384  
40 40 Cellulophaga lytica 10384  
41 41 Cenarchaeum symbiosum 10384  
42 42 Chaetoceros neogracilis 10384  
43 43 Chaetopterus variopedatus 10384  
44 44 Chelonia mydas 10384  
45 45 Chionoecetes opilio 10384  
46 46 Chiridius poppei 10384  
47 47 Chloroherpeton thalassium 10384  
48 48 Ciona intestinalis 10384  
49 49 Colwellia psychrerythraea 10384  
50 50 Conger conger 10384  
51 51 Conus achatinus 10384  
52 52 Conus catus 10384  
53 53 Conus flavidus 10384  
54 54 Conus geographus 10384  
55 55 Conus lividus 10384  
56 56 Conus miles 10384  
57 57 Conus miliaris 10384  
58 58 Conus pulicarius 10384  
59 59 Conus rattus 10384  
60 60 Conus spurius 10384  
61 61 Conus textile 10384  
62 62 Conus virgo 10384  
63 63 Corynactis californica 10384  
64 64 Coscinodiscus wailesii 10384  
65 65 Crassostrea virginica 10384  
66 66 Croceibacter atlanticus 10384  
67 67 Crypthecodinium cohnii 10384  
68 68 Cyanea capillata 10384  
69 69 Cylindrotheca fusiformis 10384  
70 70 Cypridina noctiluca 10384  
71 71 Desulfospira joergensenii 10384  
72 72 Diacronema lutheri 10384  
73 73 Dipsastraea favus 10384  
74 74 Ditylum brightwellii 10384  
75 75 Doryteuthis pealeii 10384  
76 76 Dosidicus gigas 10384  
77 77 Emiliania huxleyi 10384  
78 78 Entacmaea quadricolor 10384  
79 79 Eopsetta jordani 10384  
80 80 Erythrobacter litoralis 10384  
81 81 Erythrobacter longus 10384  
82 82 Euphausia pacifica 10384  
83 83 Euphausia superba 10384  
84 84 Eurythoe complanata 10384  
85 85 Eutreptiella braarudii 10384  
86 86 Eutreptiella gymnastica 10384  
87 87 Eutreptiella pomquetensis 10384  
88 88 Ferrimonas balearica 10384  
89 89 Fragilariopsis cylindrus 10384  
90 90 Gadus chalcogrammus 10384  
91 91 Gadus morhua 10384  
92 92 Galaxea fascicularis 10384  
93 93 Gasterosteus aculeatus 10384  
94 94 Gaussia princeps 10384  
95 95 Glossomastix chrysoplasta 10384  
96 96 Glyptocephalus cynoglossus 10384  
97 97 Guillardia theta 10384  
98 98 Gymnodinium catenatum 10384  
99 99 Haliangium ochraceum 10384  
100 100 Halomonas aquamarina 10384  

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CREATE VIRTUAL TABLE [Marine_Species_fts] USING FTS5 (
    [Species_name],
    content=[Marine_Species]
);