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 85444  
2 2 Acropora aculeus 85444  
3 3 Acropora aspera 85444  
4 4 Acropora digitifera 85444  
5 5 Acropora hyacinthus 85444  
6 6 Acropora millepora 85444  
7 7 Acropora robusta 85444  
8 8 Aequorea coerulescens 85444  
9 9 Aequorea macrodactyla 85444  
10 10 Aequorea victoria 85444  
11 11 Agarivorans albus 85444  
12 12 Alcanivorax borkumensis 85444  
13 13 Alcanivorax jadensis 85444  
14 14 Alexandrium catenella 85444  
15 15 Alexandrium minutum 85444  
16 16 Alexandrium ostenfeldii 85444  
17 17 Alexandrium tamarense 85444  
18 18 Aliivibrio fischeri 85444  
19 19 Aliivibrio salmonicida 85444  
20 20 Alteromonas macleodii 85444  
21 21 Alvinella caudata 85444  
22 22 Alvinella pompejana 85444  
23 23 Amphibalanus amphitrite 85444  
24 24 Anemonia viridis 85444  
25 25 Anguilla japonica 85444  
26 26 Anisakis simplex 85444  
27 27 Arenicola marina 85444  
28 28 Aureococcus anophagefferens 85444  
29 29 Bermanella marisrubri 85444  
30 30 Bigelowiella natans 85444  
31 31 Blastopirellula marina 85444  
32 32 Botryllus schlosseri 85444  
33 33 Branchiostoma belcheri 85444  
34 34 Branchiostoma lanceolatum 85444  
35 35 Bryopsis plumosa 85444  
36 36 Bythograea thermydron 85444  
37 37 Caldithrix abyssi 85444  
38 38 Callinectes sapidus 85444  
39 39 Callorhinchus milii 85444  
40 40 Cellulophaga lytica 85444  
41 41 Cenarchaeum symbiosum 85444  
42 42 Chaetoceros neogracilis 85444  
43 43 Chaetopterus variopedatus 85444  
44 44 Chelonia mydas 85444  
45 45 Chionoecetes opilio 85444  
46 46 Chiridius poppei 85444  
47 47 Chloroherpeton thalassium 85444  
48 48 Ciona intestinalis 85444  
49 49 Colwellia psychrerythraea 85444  
50 50 Conger conger 85444  
51 51 Conus achatinus 85444  
52 52 Conus catus 85444  
53 53 Conus flavidus 85444  
54 54 Conus geographus 85444  
55 55 Conus lividus 85444  
56 56 Conus miles 85444  
57 57 Conus miliaris 85444  
58 58 Conus pulicarius 85444  
59 59 Conus rattus 85444  
60 60 Conus spurius 85444  
61 61 Conus textile 85444  
62 62 Conus virgo 85444  
63 63 Corynactis californica 85444  
64 64 Coscinodiscus wailesii 85444  
65 65 Crassostrea virginica 85444  
66 66 Croceibacter atlanticus 85444  
67 67 Crypthecodinium cohnii 85444  
68 68 Cyanea capillata 85444  
69 69 Cylindrotheca fusiformis 85444  
70 70 Cypridina noctiluca 85444  
71 71 Desulfospira joergensenii 85444  
72 72 Diacronema lutheri 85444  
73 73 Dipsastraea favus 85444  
74 74 Ditylum brightwellii 85444  
75 75 Doryteuthis pealeii 85444  
76 76 Dosidicus gigas 85444  
77 77 Emiliania huxleyi 85444  
78 78 Entacmaea quadricolor 85444  
79 79 Eopsetta jordani 85444  
80 80 Erythrobacter litoralis 85444  
81 81 Erythrobacter longus 85444  
82 82 Euphausia pacifica 85444  
83 83 Euphausia superba 85444  
84 84 Eurythoe complanata 85444  
85 85 Eutreptiella braarudii 85444  
86 86 Eutreptiella gymnastica 85444  
87 87 Eutreptiella pomquetensis 85444  
88 88 Ferrimonas balearica 85444  
89 89 Fragilariopsis cylindrus 85444  
90 90 Gadus chalcogrammus 85444  
91 91 Gadus morhua 85444  
92 92 Galaxea fascicularis 85444  
93 93 Gasterosteus aculeatus 85444  
94 94 Gaussia princeps 85444  
95 95 Glossomastix chrysoplasta 85444  
96 96 Glyptocephalus cynoglossus 85444  
97 97 Guillardia theta 85444  
98 98 Gymnodinium catenatum 85444  
99 99 Haliangium ochraceum 85444  
100 100 Halomonas aquamarina 85444  

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