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

✎ View and edit SQL

This data as json, CSV (advanced)

Link rowid ▼ Species_name Marine_Species_fts rank
1 1 Acanthastrea echinata 55870  
2 2 Acropora aculeus 55870  
3 3 Acropora aspera 55870  
4 4 Acropora digitifera 55870  
5 5 Acropora hyacinthus 55870  
6 6 Acropora millepora 55870  
7 7 Acropora robusta 55870  
8 8 Aequorea coerulescens 55870  
9 9 Aequorea macrodactyla 55870  
10 10 Aequorea victoria 55870  
11 11 Agarivorans albus 55870  
12 12 Alcanivorax borkumensis 55870  
13 13 Alcanivorax jadensis 55870  
14 14 Alexandrium catenella 55870  
15 15 Alexandrium minutum 55870  
16 16 Alexandrium ostenfeldii 55870  
17 17 Alexandrium tamarense 55870  
18 18 Aliivibrio fischeri 55870  
19 19 Aliivibrio salmonicida 55870  
20 20 Alteromonas macleodii 55870  
21 21 Alvinella caudata 55870  
22 22 Alvinella pompejana 55870  
23 23 Amphibalanus amphitrite 55870  
24 24 Anemonia viridis 55870  
25 25 Anguilla japonica 55870  
26 26 Anisakis simplex 55870  
27 27 Arenicola marina 55870  
28 28 Aureococcus anophagefferens 55870  
29 29 Bermanella marisrubri 55870  
30 30 Bigelowiella natans 55870  
31 31 Blastopirellula marina 55870  
32 32 Botryllus schlosseri 55870  
33 33 Branchiostoma belcheri 55870  
34 34 Branchiostoma lanceolatum 55870  
35 35 Bryopsis plumosa 55870  
36 36 Bythograea thermydron 55870  
37 37 Caldithrix abyssi 55870  
38 38 Callinectes sapidus 55870  
39 39 Callorhinchus milii 55870  
40 40 Cellulophaga lytica 55870  
41 41 Cenarchaeum symbiosum 55870  
42 42 Chaetoceros neogracilis 55870  
43 43 Chaetopterus variopedatus 55870  
44 44 Chelonia mydas 55870  
45 45 Chionoecetes opilio 55870  
46 46 Chiridius poppei 55870  
47 47 Chloroherpeton thalassium 55870  
48 48 Ciona intestinalis 55870  
49 49 Colwellia psychrerythraea 55870  
50 50 Conger conger 55870  
51 51 Conus achatinus 55870  
52 52 Conus catus 55870  
53 53 Conus flavidus 55870  
54 54 Conus geographus 55870  
55 55 Conus lividus 55870  
56 56 Conus miles 55870  
57 57 Conus miliaris 55870  
58 58 Conus pulicarius 55870  
59 59 Conus rattus 55870  
60 60 Conus spurius 55870  
61 61 Conus textile 55870  
62 62 Conus virgo 55870  
63 63 Corynactis californica 55870  
64 64 Coscinodiscus wailesii 55870  
65 65 Crassostrea virginica 55870  
66 66 Croceibacter atlanticus 55870  
67 67 Crypthecodinium cohnii 55870  
68 68 Cyanea capillata 55870  
69 69 Cylindrotheca fusiformis 55870  
70 70 Cypridina noctiluca 55870  
71 71 Desulfospira joergensenii 55870  
72 72 Diacronema lutheri 55870  
73 73 Dipsastraea favus 55870  
74 74 Ditylum brightwellii 55870  
75 75 Doryteuthis pealeii 55870  
76 76 Dosidicus gigas 55870  
77 77 Emiliania huxleyi 55870  
78 78 Entacmaea quadricolor 55870  
79 79 Eopsetta jordani 55870  
80 80 Erythrobacter litoralis 55870  
81 81 Erythrobacter longus 55870  
82 82 Euphausia pacifica 55870  
83 83 Euphausia superba 55870  
84 84 Eurythoe complanata 55870  
85 85 Eutreptiella braarudii 55870  
86 86 Eutreptiella gymnastica 55870  
87 87 Eutreptiella pomquetensis 55870  
88 88 Ferrimonas balearica 55870  
89 89 Fragilariopsis cylindrus 55870  
90 90 Gadus chalcogrammus 55870  
91 91 Gadus morhua 55870  
92 92 Galaxea fascicularis 55870  
93 93 Gasterosteus aculeatus 55870  
94 94 Gaussia princeps 55870  
95 95 Glossomastix chrysoplasta 55870  
96 96 Glyptocephalus cynoglossus 55870  
97 97 Guillardia theta 55870  
98 98 Gymnodinium catenatum 55870  
99 99 Haliangium ochraceum 55870  
100 100 Halomonas aquamarina 55870  

Next page

Advanced export

JSON shape: default, array, newline-delimited

CSV options: 

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