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

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Link rowid ▼ Species_name Marine_Species_fts rank
1 1 Acanthastrea echinata 351  
2 2 Acropora aculeus 351  
3 3 Acropora aspera 351  
4 4 Acropora digitifera 351  
5 5 Acropora hyacinthus 351  
6 6 Acropora millepora 351  
7 7 Acropora robusta 351  
8 8 Aequorea coerulescens 351  
9 9 Aequorea macrodactyla 351  
10 10 Aequorea victoria 351  
11 11 Agarivorans albus 351  
12 12 Alcanivorax borkumensis 351  
13 13 Alcanivorax jadensis 351  
14 14 Alexandrium catenella 351  
15 15 Alexandrium minutum 351  
16 16 Alexandrium ostenfeldii 351  
17 17 Alexandrium tamarense 351  
18 18 Aliivibrio fischeri 351  
19 19 Aliivibrio salmonicida 351  
20 20 Alteromonas macleodii 351  
21 21 Alvinella caudata 351  
22 22 Alvinella pompejana 351  
23 23 Amphibalanus amphitrite 351  
24 24 Anemonia viridis 351  
25 25 Anguilla japonica 351  
26 26 Anisakis simplex 351  
27 27 Arenicola marina 351  
28 28 Aureococcus anophagefferens 351  
29 29 Bermanella marisrubri 351  
30 30 Bigelowiella natans 351  
31 31 Blastopirellula marina 351  
32 32 Botryllus schlosseri 351  
33 33 Branchiostoma belcheri 351  
34 34 Branchiostoma lanceolatum 351  
35 35 Bryopsis plumosa 351  
36 36 Bythograea thermydron 351  
37 37 Caldithrix abyssi 351  
38 38 Callinectes sapidus 351  
39 39 Callorhinchus milii 351  
40 40 Cellulophaga lytica 351  
41 41 Cenarchaeum symbiosum 351  
42 42 Chaetoceros neogracilis 351  
43 43 Chaetopterus variopedatus 351  
44 44 Chelonia mydas 351  
45 45 Chionoecetes opilio 351  
46 46 Chiridius poppei 351  
47 47 Chloroherpeton thalassium 351  
48 48 Ciona intestinalis 351  
49 49 Colwellia psychrerythraea 351  
50 50 Conger conger 351  
51 51 Conus achatinus 351  
52 52 Conus catus 351  
53 53 Conus flavidus 351  
54 54 Conus geographus 351  
55 55 Conus lividus 351  
56 56 Conus miles 351  
57 57 Conus miliaris 351  
58 58 Conus pulicarius 351  
59 59 Conus rattus 351  
60 60 Conus spurius 351  
61 61 Conus textile 351  
62 62 Conus virgo 351  
63 63 Corynactis californica 351  
64 64 Coscinodiscus wailesii 351  
65 65 Crassostrea virginica 351  
66 66 Croceibacter atlanticus 351  
67 67 Crypthecodinium cohnii 351  
68 68 Cyanea capillata 351  
69 69 Cylindrotheca fusiformis 351  
70 70 Cypridina noctiluca 351  
71 71 Desulfospira joergensenii 351  
72 72 Diacronema lutheri 351  
73 73 Dipsastraea favus 351  
74 74 Ditylum brightwellii 351  
75 75 Doryteuthis pealeii 351  
76 76 Dosidicus gigas 351  
77 77 Emiliania huxleyi 351  
78 78 Entacmaea quadricolor 351  
79 79 Eopsetta jordani 351  
80 80 Erythrobacter litoralis 351  
81 81 Erythrobacter longus 351  
82 82 Euphausia pacifica 351  
83 83 Euphausia superba 351  
84 84 Eurythoe complanata 351  
85 85 Eutreptiella braarudii 351  
86 86 Eutreptiella gymnastica 351  
87 87 Eutreptiella pomquetensis 351  
88 88 Ferrimonas balearica 351  
89 89 Fragilariopsis cylindrus 351  
90 90 Gadus chalcogrammus 351  
91 91 Gadus morhua 351  
92 92 Galaxea fascicularis 351  
93 93 Gasterosteus aculeatus 351  
94 94 Gaussia princeps 351  
95 95 Glossomastix chrysoplasta 351  
96 96 Glyptocephalus cynoglossus 351  
97 97 Guillardia theta 351  
98 98 Gymnodinium catenatum 351  
99 99 Haliangium ochraceum 351  
100 100 Halomonas aquamarina 351  

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