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 49437  
2 2 Acropora aculeus 49437  
3 3 Acropora aspera 49437  
4 4 Acropora digitifera 49437  
5 5 Acropora hyacinthus 49437  
6 6 Acropora millepora 49437  
7 7 Acropora robusta 49437  
8 8 Aequorea coerulescens 49437  
9 9 Aequorea macrodactyla 49437  
10 10 Aequorea victoria 49437  
11 11 Agarivorans albus 49437  
12 12 Alcanivorax borkumensis 49437  
13 13 Alcanivorax jadensis 49437  
14 14 Alexandrium catenella 49437  
15 15 Alexandrium minutum 49437  
16 16 Alexandrium ostenfeldii 49437  
17 17 Alexandrium tamarense 49437  
18 18 Aliivibrio fischeri 49437  
19 19 Aliivibrio salmonicida 49437  
20 20 Alteromonas macleodii 49437  
21 21 Alvinella caudata 49437  
22 22 Alvinella pompejana 49437  
23 23 Amphibalanus amphitrite 49437  
24 24 Anemonia viridis 49437  
25 25 Anguilla japonica 49437  
26 26 Anisakis simplex 49437  
27 27 Arenicola marina 49437  
28 28 Aureococcus anophagefferens 49437  
29 29 Bermanella marisrubri 49437  
30 30 Bigelowiella natans 49437  
31 31 Blastopirellula marina 49437  
32 32 Botryllus schlosseri 49437  
33 33 Branchiostoma belcheri 49437  
34 34 Branchiostoma lanceolatum 49437  
35 35 Bryopsis plumosa 49437  
36 36 Bythograea thermydron 49437  
37 37 Caldithrix abyssi 49437  
38 38 Callinectes sapidus 49437  
39 39 Callorhinchus milii 49437  
40 40 Cellulophaga lytica 49437  
41 41 Cenarchaeum symbiosum 49437  
42 42 Chaetoceros neogracilis 49437  
43 43 Chaetopterus variopedatus 49437  
44 44 Chelonia mydas 49437  
45 45 Chionoecetes opilio 49437  
46 46 Chiridius poppei 49437  
47 47 Chloroherpeton thalassium 49437  
48 48 Ciona intestinalis 49437  
49 49 Colwellia psychrerythraea 49437  
50 50 Conger conger 49437  
51 51 Conus achatinus 49437  
52 52 Conus catus 49437  
53 53 Conus flavidus 49437  
54 54 Conus geographus 49437  
55 55 Conus lividus 49437  
56 56 Conus miles 49437  
57 57 Conus miliaris 49437  
58 58 Conus pulicarius 49437  
59 59 Conus rattus 49437  
60 60 Conus spurius 49437  
61 61 Conus textile 49437  
62 62 Conus virgo 49437  
63 63 Corynactis californica 49437  
64 64 Coscinodiscus wailesii 49437  
65 65 Crassostrea virginica 49437  
66 66 Croceibacter atlanticus 49437  
67 67 Crypthecodinium cohnii 49437  
68 68 Cyanea capillata 49437  
69 69 Cylindrotheca fusiformis 49437  
70 70 Cypridina noctiluca 49437  
71 71 Desulfospira joergensenii 49437  
72 72 Diacronema lutheri 49437  
73 73 Dipsastraea favus 49437  
74 74 Ditylum brightwellii 49437  
75 75 Doryteuthis pealeii 49437  
76 76 Dosidicus gigas 49437  
77 77 Emiliania huxleyi 49437  
78 78 Entacmaea quadricolor 49437  
79 79 Eopsetta jordani 49437  
80 80 Erythrobacter litoralis 49437  
81 81 Erythrobacter longus 49437  
82 82 Euphausia pacifica 49437  
83 83 Euphausia superba 49437  
84 84 Eurythoe complanata 49437  
85 85 Eutreptiella braarudii 49437  
86 86 Eutreptiella gymnastica 49437  
87 87 Eutreptiella pomquetensis 49437  
88 88 Ferrimonas balearica 49437  
89 89 Fragilariopsis cylindrus 49437  
90 90 Gadus chalcogrammus 49437  
91 91 Gadus morhua 49437  
92 92 Galaxea fascicularis 49437  
93 93 Gasterosteus aculeatus 49437  
94 94 Gaussia princeps 49437  
95 95 Glossomastix chrysoplasta 49437  
96 96 Glyptocephalus cynoglossus 49437  
97 97 Guillardia theta 49437  
98 98 Gymnodinium catenatum 49437  
99 99 Haliangium ochraceum 49437  
100 100 Halomonas aquamarina 49437  

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