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 89785  
2 2 Acropora aculeus 89785  
3 3 Acropora aspera 89785  
4 4 Acropora digitifera 89785  
5 5 Acropora hyacinthus 89785  
6 6 Acropora millepora 89785  
7 7 Acropora robusta 89785  
8 8 Aequorea coerulescens 89785  
9 9 Aequorea macrodactyla 89785  
10 10 Aequorea victoria 89785  
11 11 Agarivorans albus 89785  
12 12 Alcanivorax borkumensis 89785  
13 13 Alcanivorax jadensis 89785  
14 14 Alexandrium catenella 89785  
15 15 Alexandrium minutum 89785  
16 16 Alexandrium ostenfeldii 89785  
17 17 Alexandrium tamarense 89785  
18 18 Aliivibrio fischeri 89785  
19 19 Aliivibrio salmonicida 89785  
20 20 Alteromonas macleodii 89785  
21 21 Alvinella caudata 89785  
22 22 Alvinella pompejana 89785  
23 23 Amphibalanus amphitrite 89785  
24 24 Anemonia viridis 89785  
25 25 Anguilla japonica 89785  
26 26 Anisakis simplex 89785  
27 27 Arenicola marina 89785  
28 28 Aureococcus anophagefferens 89785  
29 29 Bermanella marisrubri 89785  
30 30 Bigelowiella natans 89785  
31 31 Blastopirellula marina 89785  
32 32 Botryllus schlosseri 89785  
33 33 Branchiostoma belcheri 89785  
34 34 Branchiostoma lanceolatum 89785  
35 35 Bryopsis plumosa 89785  
36 36 Bythograea thermydron 89785  
37 37 Caldithrix abyssi 89785  
38 38 Callinectes sapidus 89785  
39 39 Callorhinchus milii 89785  
40 40 Cellulophaga lytica 89785  
41 41 Cenarchaeum symbiosum 89785  
42 42 Chaetoceros neogracilis 89785  
43 43 Chaetopterus variopedatus 89785  
44 44 Chelonia mydas 89785  
45 45 Chionoecetes opilio 89785  
46 46 Chiridius poppei 89785  
47 47 Chloroherpeton thalassium 89785  
48 48 Ciona intestinalis 89785  
49 49 Colwellia psychrerythraea 89785  
50 50 Conger conger 89785  
51 51 Conus achatinus 89785  
52 52 Conus catus 89785  
53 53 Conus flavidus 89785  
54 54 Conus geographus 89785  
55 55 Conus lividus 89785  
56 56 Conus miles 89785  
57 57 Conus miliaris 89785  
58 58 Conus pulicarius 89785  
59 59 Conus rattus 89785  
60 60 Conus spurius 89785  
61 61 Conus textile 89785  
62 62 Conus virgo 89785  
63 63 Corynactis californica 89785  
64 64 Coscinodiscus wailesii 89785  
65 65 Crassostrea virginica 89785  
66 66 Croceibacter atlanticus 89785  
67 67 Crypthecodinium cohnii 89785  
68 68 Cyanea capillata 89785  
69 69 Cylindrotheca fusiformis 89785  
70 70 Cypridina noctiluca 89785  
71 71 Desulfospira joergensenii 89785  
72 72 Diacronema lutheri 89785  
73 73 Dipsastraea favus 89785  
74 74 Ditylum brightwellii 89785  
75 75 Doryteuthis pealeii 89785  
76 76 Dosidicus gigas 89785  
77 77 Emiliania huxleyi 89785  
78 78 Entacmaea quadricolor 89785  
79 79 Eopsetta jordani 89785  
80 80 Erythrobacter litoralis 89785  
81 81 Erythrobacter longus 89785  
82 82 Euphausia pacifica 89785  
83 83 Euphausia superba 89785  
84 84 Eurythoe complanata 89785  
85 85 Eutreptiella braarudii 89785  
86 86 Eutreptiella gymnastica 89785  
87 87 Eutreptiella pomquetensis 89785  
88 88 Ferrimonas balearica 89785  
89 89 Fragilariopsis cylindrus 89785  
90 90 Gadus chalcogrammus 89785  
91 91 Gadus morhua 89785  
92 92 Galaxea fascicularis 89785  
93 93 Gasterosteus aculeatus 89785  
94 94 Gaussia princeps 89785  
95 95 Glossomastix chrysoplasta 89785  
96 96 Glyptocephalus cynoglossus 89785  
97 97 Guillardia theta 89785  
98 98 Gymnodinium catenatum 89785  
99 99 Haliangium ochraceum 89785  
100 100 Halomonas aquamarina 89785  

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]
);