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 8875  
2 2 Acropora aculeus 8875  
3 3 Acropora aspera 8875  
4 4 Acropora digitifera 8875  
5 5 Acropora hyacinthus 8875  
6 6 Acropora millepora 8875  
7 7 Acropora robusta 8875  
8 8 Aequorea coerulescens 8875  
9 9 Aequorea macrodactyla 8875  
10 10 Aequorea victoria 8875  
11 11 Agarivorans albus 8875  
12 12 Alcanivorax borkumensis 8875  
13 13 Alcanivorax jadensis 8875  
14 14 Alexandrium catenella 8875  
15 15 Alexandrium minutum 8875  
16 16 Alexandrium ostenfeldii 8875  
17 17 Alexandrium tamarense 8875  
18 18 Aliivibrio fischeri 8875  
19 19 Aliivibrio salmonicida 8875  
20 20 Alteromonas macleodii 8875  
21 21 Alvinella caudata 8875  
22 22 Alvinella pompejana 8875  
23 23 Amphibalanus amphitrite 8875  
24 24 Anemonia viridis 8875  
25 25 Anguilla japonica 8875  
26 26 Anisakis simplex 8875  
27 27 Arenicola marina 8875  
28 28 Aureococcus anophagefferens 8875  
29 29 Bermanella marisrubri 8875  
30 30 Bigelowiella natans 8875  
31 31 Blastopirellula marina 8875  
32 32 Botryllus schlosseri 8875  
33 33 Branchiostoma belcheri 8875  
34 34 Branchiostoma lanceolatum 8875  
35 35 Bryopsis plumosa 8875  
36 36 Bythograea thermydron 8875  
37 37 Caldithrix abyssi 8875  
38 38 Callinectes sapidus 8875  
39 39 Callorhinchus milii 8875  
40 40 Cellulophaga lytica 8875  
41 41 Cenarchaeum symbiosum 8875  
42 42 Chaetoceros neogracilis 8875  
43 43 Chaetopterus variopedatus 8875  
44 44 Chelonia mydas 8875  
45 45 Chionoecetes opilio 8875  
46 46 Chiridius poppei 8875  
47 47 Chloroherpeton thalassium 8875  
48 48 Ciona intestinalis 8875  
49 49 Colwellia psychrerythraea 8875  
50 50 Conger conger 8875  
51 51 Conus achatinus 8875  
52 52 Conus catus 8875  
53 53 Conus flavidus 8875  
54 54 Conus geographus 8875  
55 55 Conus lividus 8875  
56 56 Conus miles 8875  
57 57 Conus miliaris 8875  
58 58 Conus pulicarius 8875  
59 59 Conus rattus 8875  
60 60 Conus spurius 8875  
61 61 Conus textile 8875  
62 62 Conus virgo 8875  
63 63 Corynactis californica 8875  
64 64 Coscinodiscus wailesii 8875  
65 65 Crassostrea virginica 8875  
66 66 Croceibacter atlanticus 8875  
67 67 Crypthecodinium cohnii 8875  
68 68 Cyanea capillata 8875  
69 69 Cylindrotheca fusiformis 8875  
70 70 Cypridina noctiluca 8875  
71 71 Desulfospira joergensenii 8875  
72 72 Diacronema lutheri 8875  
73 73 Dipsastraea favus 8875  
74 74 Ditylum brightwellii 8875  
75 75 Doryteuthis pealeii 8875  
76 76 Dosidicus gigas 8875  
77 77 Emiliania huxleyi 8875  
78 78 Entacmaea quadricolor 8875  
79 79 Eopsetta jordani 8875  
80 80 Erythrobacter litoralis 8875  
81 81 Erythrobacter longus 8875  
82 82 Euphausia pacifica 8875  
83 83 Euphausia superba 8875  
84 84 Eurythoe complanata 8875  
85 85 Eutreptiella braarudii 8875  
86 86 Eutreptiella gymnastica 8875  
87 87 Eutreptiella pomquetensis 8875  
88 88 Ferrimonas balearica 8875  
89 89 Fragilariopsis cylindrus 8875  
90 90 Gadus chalcogrammus 8875  
91 91 Gadus morhua 8875  
92 92 Galaxea fascicularis 8875  
93 93 Gasterosteus aculeatus 8875  
94 94 Gaussia princeps 8875  
95 95 Glossomastix chrysoplasta 8875  
96 96 Glyptocephalus cynoglossus 8875  
97 97 Guillardia theta 8875  
98 98 Gymnodinium catenatum 8875  
99 99 Haliangium ochraceum 8875  
100 100 Halomonas aquamarina 8875  

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