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Appendix 2 in A new subfamily classification of the Citrus family (Rutaceae) based on six nuclear and plastid markers
<p><b>Appendix 2.</b> Details about the character states of all included taxa for the 13 morphological and karyological characters.</p><table><thead><tr><th></th><th></th><th></th><th></th><th></th><th></th><th colspan="2">Characters</th><th></th><th></th><th></th><th></th><th></th><th></th></tr></thead><tbody><tr><th>Taxon</th><td>1</td><td>2</td><td>3</td><td>4</td><td>5</td><td colspan="2">6 7</td><td>8</td><td>9</td><td>10</td><td>11</td><td>12</td><td>13</td></tr><tr><th><i>Acmadenia</i></th><td>0</td><td>0</td><td>2</td><td>1</td><td>1</td><td>0, 1</td><td>2</td><td>0</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Acradenia</i></th><td>1</td><td>1</td><td>2, 3</td><td>1</td><td>1</td><td>1</td><td>2</td><td>1</td><td>1</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Acronychia</i></th><td>0, 1</td><td>1</td><td>1</td><td>1</td><td>0, 1</td><td>1</td><td>1</td><td>2</td><td>1</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Adenandra</i></th><td>0</td><td>0, 1</td><td>2</td><td>1</td><td>1</td><td>0, 1</td><td>2</td><td>0</td><td>2, 3</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Adiscanthus</i></th><td>0</td><td>0</td><td>2</td><td>0</td><td>0</td><td>1</td><td>2</td><td>1</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Aegle</i></th><td>0, 1</td><td>0</td><td>1, 2</td><td>2</td><td>0</td><td>4</td><td>0</td><td>0</td><td>0, 1</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Aeglopsis</i></th><td>0, 1</td><td>0</td><td>1, 2, 3</td><td>1, 2</td><td>0</td><td>4</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Afraegle</i></th><td>1</td><td>0</td><td>1, 2, 3</td><td>2</td><td>0</td><td>4</td><td>0</td><td>0</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Agathosma</i> A</th><td>0</td><td>0, 1, 2</td><td>2, 3</td><td>1</td><td>1</td><td>0, 1</td><td>2</td><td>0</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Agathosma</i> B</th><td>0</td><td>0, 1, 2</td><td>2, 3</td><td>1</td><td>1</td><td>0, 1</td><td>2</td><td>0</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Agathosma</i> C</th><td>0</td><td>0, 1, 2</td><td>2, 3</td><td>1</td><td>1</td><td>0, 1</td><td>2</td><td>0</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Amyris</i></th><td>0, 1</td><td>0, 1</td><td>1, 2, 3</td><td>1</td><td>3</td><td>1</td><td>1</td><td>0</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Andreadoxa</i></th><td>0</td><td>0</td><td>2</td><td>0</td><td>1</td><td>1</td><td>2</td><td>1</td><td>?</td><td>0</td><td>1</td><td>0</td><td>0</td></tr><tr><th><i>Angostura</i></th><td>0, 1</td><td>0</td><td>2</td><td>0</td><td>1</td><td>1</td><td>2</td><td>1</td><td>?</td><td>0</td><td>0, 1</td><td>1</td><td>0</td></tr><tr><th><i>Asterolasia</i></th><td>0</td><td>0</td><td>2</td><td>1</td><td>0, 1</td><td>0, 1</td><td>2</td><td>2</td><td>1</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Atalantia</i></th><td>0</td><td>0</td><td>1, 2, 3</td><td>1</td><td>0</td><td>0, 1</td><td>5</td><td>0</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Balfourodendron</i></th><td>1</td><td>1</td><td>1</td><td>0</td><td>0</td><td>1</td><td>4</td><td>1</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Balsamocitrus</i></th><td>0, 1</td><td>0</td><td>2</td><td>1</td><td>0</td><td>4</td><td>0</td><td>0</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Bergera</i></th><td>0, 1</td><td>0</td><td>1, 2</td><td>1</td><td>0</td><td>?</td><td>0</td><td>0</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Boenninghausenia</i></th><td>1</td><td>0</td><td>1</td><td>1</td><td>1</td><td>2, 3</td><td>2</td><td>2</td><td>0</td><td>2</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Boronia</i> A</th><td>0, 1</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0, 1</td><td>2</td><td>2</td><td>0, 1, 2</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Boronia</i> B</th><td>0, 1</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0, 1</td><td>2</td><td>2</td><td>0, 1, 2</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Boronia</i> C</th><td>0, 1</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0, 1</td><td>2</td><td>2</td><td>0, 1, 2</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Boronia</i> D (<i>Boronella</i>)</th><td>0</td><td>1, 2</td><td>1</td><td>1</td><td>1</td><td>0, 1</td><td>2</td><td>2</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Bosistoa</i></th><td>0, 1</td><td>0</td><td>2</td><td>1</td><td>1</td><td>2, 3</td><td>2</td><td>0</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Bottegoa</i></th><td>1</td><td>0</td><td>1, 2</td><td>0</td><td>0</td><td>0</td><td>4</td><td>1</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Bouchardatia</i></th><td>0, 1</td><td>1</td><td>1</td><td>1</td><td>1</td><td>3</td><td>2</td><td>0, 1</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Brombya</i></th><td>0</td><td>1</td><td>1</td><td>1</td><td>1</td><td>1</td><td>2</td><td>2</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Burkillanthus</i></th><td>0, 1</td><td>0</td><td>2</td><td>1</td><td>0</td><td>4</td><td>5</td><td>0</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Calodendrum</i></th><td>0</td><td>1, 2</td><td>2</td><td>1</td><td>1</td><td>0, 1</td><td>2</td><td>0</td><td>2</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Casimiroa</i></th><td>0, 1</td><td>0</td><td>1, 2, 3</td><td>0</td><td>0</td><td>1, 2, 3</td><td>0, 1</td><td>0</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Cedrelopsis</i></th><td>1</td><td>0</td><td>2</td><td>0</td><td>0</td><td>1, 2</td><td>2</td><td>0</td><td>?</td><td>0</td><td>0</td><td>0</td><td>1</td></tr><tr><th><i>Chloroxylon</i></th><td>1</td><td>0</td><td>2</td><td>1</td><td>0</td><td>3</td><td>2</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>1</td></tr><tr><th><i>Choisya</i></th><td>1</td><td>1</td><td>1, 2</td><td>1</td><td>1</td><td>1</td><td>2</td><td>2</td><td>2</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Chorilaena</i></th><td>0</td><td>0</td><td>2</td><td>1</td><td>1</td><td>0, 1</td><td>2</td><td>2</td><td>1</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Citropsis</i></th><td>0, 1</td><td>0</td><td>1, 2</td><td>1</td><td>0</td><td>0</td><td>5</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Citrus</i> A</th><td>0</td><td>0</td><td>1, 2, 3</td><td>2</td><td>0</td><td>1, 2, 3</td><td>5</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Citrus</i> B</th><td>0</td><td>0</td><td>1, 2, 3</td><td>2</td><td>0</td><td>1, 2, 3</td><td>5</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th>Taxon</th><td>1</td><td>2</td><td>3</td><td>4</td><td>5</td><td colspan="2">Characters 6 7</td><td>8</td><td>9</td><td>10</td><td>11</td><td>12</td><td>13</td></tr><tr><th><i>Citrus</i> C</th><td>0</td><td>0</td><td>1, 2, 3</td><td>2</td><td>0</td><td>1, 2, 3</td><td>5</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Clausena</i></th><td>1</td><td>0</td><td>1, 2</td><td>1</td><td>0</td><td>1</td><td>0</td><td>0</td><td>0, 1</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Clymenia</i> (<i>Citrus</i> s.l.)</th><td>0</td><td>0</td><td>1, 2, 3</td><td>2</td><td>0</td><td>1, 2, 3</td><td>5</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Cneoridium</i></th><td>0</td><td>1</td><td>1</td><td>1</td><td>3</td><td>1, 2</td><td>0</td><td>2</td><td>1</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Cneorum</i></th><td>0</td><td>0</td><td>0, 1</td><td>0</td><td>0</td><td>1</td><td>1</td><td>2</td><td>1</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Coatesia</i></th><td>0</td><td>0</td><td>2</td><td>0</td><td>1</td><td>1</td><td>2</td><td>0</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Coleonema</i></th><td>0</td><td>0</td><td>2</td><td>1</td><td>1</td><td>0, 1</td><td>2</td><td>0</td><td>1</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Comptonella</i></th><td>0, 1</td><td>1</td><td>1</td><td>0, 1</td><td>0, 1</td><td>1</td><td>1</td><td>2</td><td>1</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Conchocarpus</i> A</th><td>0, 1</td><td>0, 1</td><td>1, 2</td><td>0</td><td>1</td><td>1</td><td>2</td><td>1</td><td>?</td><td>0</td><td>0, 1</td><td>1</td><td>0</td></tr><tr><th><i>Conchocarpus</i> B (<i>Almeidea</i>)</th><td>0</td><td>0</td><td>2</td><td>0</td><td>1</td><td>1</td><td>2</td><td>1</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Correa</i></th><td>0</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0, 1</td><td>2</td><td>2</td><td>1</td><td>0</td><td>0</td><td>1</td><td>0</td></tr><tr><th><i>Crossosperma</i></th><td>1</td><td>1</td><td>1</td><td>1</td><td>0</td><td>0, 1</td><td>1</td><td>1</td><td>?</td><td>0</td><td>0</td><td>0</td><td>1</td></tr><tr><th><i>Crowea</i></th><td>0</td><td>0</td><td>2</td><td>1</td><td>1</td><td>0, 1</td><td>2</td><td>2</td><td>1</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Cyanothamnus</i></th><td>0, 1</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0, 1</td><td>2</td><td>2</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Desmotes</i></th><td>0</td><td>1</td><td>2</td><td>0</td><td>1</td><td>1</td><td>2</td><td>1</td><td>?</td><td>0</td><td>1</td><td>1</td><td>0</td></tr><tr><th><i>Dictamnus</i></th><td>1</td><td>0</td><td>2</td><td>1</td><td>0</td><td>2</td><td>2</td><td>2</td><td>1</td><td>2</td><td>1</td><td>0</td><td>0</td></tr><tr><th><i>Dictyoloma</i></th><td>1</td><td>0</td><td>2</td><td>0</td><td>1</td><td>2</td><td>2</td><td>1</td><td>?</td><td>0</td><td>0</td><td>0</td><td>1</td></tr><tr><th><i>Dinosperma</i></th><td>0, 1</td><td>0, 1, 2</td><td>1</td><td>1</td><td>1</td><td>1</td><td>2</td><td>0, 1</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Diosma</i></th><td>0</td><td>0, 1</td><td>2</td><td>0, 1</td><td>1</td><td>0, 1</td><td>2</td><td>0</td><td>1</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Diplolaena</i></th><td>0</td><td>0</td><td>2</td><td>1</td><td>1</td><td>0, 1</td><td>2</td><td>2</td><td>1</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Drummondita</i></th><td>0</td><td>0</td><td>2</td><td>1</td><td>1</td><td>0, 1</td><td>2</td><td>2</td><td>1</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Dryades</i></th><td>0</td><td>0</td><td>2</td><td>0</td><td>1</td><td>1</td><td>2</td><td>?</td><td>?</td><td>0</td><td>0, 1</td><td>1</td><td>0</td></tr><tr><th><i>Dutaillyea</i></th><td>0, 1</td><td>1</td><td>1</td><td>1</td><td>0</td><td>0, 1</td><td>1</td><td>2</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Empleurum</i></th><td>0</td><td>0</td><td>1</td><td>0</td><td>1, 3</td><td>0, 1</td><td>2</td><td>0</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Eremocitrus</i> (<i>Citrus</i> s.l.)</th><td>0</td><td>0</td><td>1, 2, 3</td><td>2</td><td>0</td><td>1, 2, 3</td><td>5</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Eriostemon</i></th><td>0</td><td>0</td><td>2</td><td>1</td><td>1</td><td>0, 1</td><td>2</td><td>2</td><td>1</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Ertela</i></th><td>1</td><td>0, 1</td><td>2</td><td>0</td><td>1</td><td>1</td><td>2</td><td>1</td><td>?</td><td>1, 2</td><td>1</td><td>1</td><td>0</td></tr><tr><th><i>Erythrochiton</i></th><td>0</td><td>0</td><td>2</td><td>0</td><td>1</td><td>1</td><td>2</td><td>1</td><td>?</td><td>0</td><td>0, 1</td><td>1</td><td>0</td></tr><tr><th><i>Esenbeckia</i></th><td>0, 1</td><td>0, 1</td><td>2, 3</td><td>0</td><td>0, 1</td><td>1</td><td>2</td><td>0, 1</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Euchaetis</i></th><td>0</td><td>0, 1</td><td>2</td><td>0, 1</td><td>1</td><td>0, 1</td><td>2</td><td>0</td><td>1</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Euodia</i></th><td>0, 1</td><td>1</td><td>1</td><td>0, 1</td><td>1</td><td>1</td><td>2</td><td>2</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Fagaropsis</i></th><td>1</td><td>1</td><td>1, 2, 3</td><td>0, 1</td><td>0</td><td>0</td><td>1</td><td>2</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Feroniella</i></th><td>1</td><td>0</td><td>1, 2, 3</td><td>2</td><td>0</td><td>1, 2, 3</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Flindersia</i></th><td>0, 1</td><td>0, 1</td><td>2</td><td>1</td><td>0</td><td>1, 2, 3</td><td>2</td><td>0</td><td>1, 3</td><td>0</td><td>0</td><td>0</td><td>1</td></tr><tr><th><i>Fortunella</i> (<i>Citrus</i> s.l.)</th><td>0</td><td>0</td><td>1, 2, 3</td><td>2</td><td>0</td><td>1, 2, 3</td><td>5</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Galipea</i></th><td>0, 1</td><td>0</td><td>2</td><td>0</td><td>0</td><td>1</td><td>2</td><td>1</td><td>?</td><td>0</td><td>1</td><td>1</td><td>0</td></tr><tr><th><i>Geijera</i></th><td>0</td><td>0</td><td>0, 1, 2</td><td>0</td><td>1</td><td>1</td><td>3</td><td>1</td><td>3</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Geleznowia</i></th><td>0</td><td>0</td><td>2</td><td>1</td><td>1</td><td>0, 1</td><td>2</td><td>2</td><td>1</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Glycosmis</i></th><td>0, 1</td><td>0</td><td>1, 2</td><td>0, 1</td><td>0</td><td>0, 1</td><td>0</td><td>0</td><td>0, 2</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Halfordia</i></th><td>0</td><td>0</td><td>2</td><td>1</td><td>0</td><td>0</td><td>1</td><td>2</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Haplophyllum</i></th><td>0, 1</td><td>0</td><td>2</td><td>1</td><td>1</td><td>0, 1, 2, 3</td><td>2</td><td>2</td><td>0</td><td>1, 2</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Harrisonia</i></th><td>1</td><td>0</td><td>1, 2</td><td>1</td><td>0</td><td>0</td><td>1</td><td>1</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Helietta</i></th><td>1</td><td>0, 1</td><td>1, 2</td><td>0</td><td>0</td><td>1</td><td>4</td><td>2</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Hortia</i></th><td>0</td><td>0</td><td>2</td><td>0</td><td>0</td><td>1</td><td>0, 1</td><td>2</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th>Taxon</th><td>1</td><td>2</td><td>3</td><td>4</td><td>5</td><td colspan="2">Characters 6 7</td><td>8</td><td>9</td><td>10</td><td>11</td><td>12</td><td>13</td></tr><tr><th><i>Ivodea</i></th><td>0</td><td>0, 1, 2</td><td>1, 2</td><td>0, 1</td><td>1</td><td>1</td><td>2</td><td>0</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Leionema</i> A</th><td>0</td><td>0</td><td>2</td><td>1</td><td>1</td><td>0, 1</td><td>2</td><td>2</td><td>1</td><td>0</td><td>0</td><td>0, 1</td><td>0</td></tr><tr><th><i>Leionema</i> B</th><td>0</td><td>0</td><td>2</td><td>1</td><td>1</td><td>0, 1</td><td>2</td><td>2</td><td>1</td><td>0</td><td>0</td><td>0, 1</td><td>0</td></tr><tr><th><i>Limonia</i></th><td>1</td><td>0</td><td>1, 2, 3</td><td>1</td><td>0</td><td>4</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Lunasia</i></th><td>0</td><td>0</td><td>0</td><td>0</td><td>1</td><td>0</td><td>2</td><td>0, 1</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Luvunga</i></th><td>0, 1</td><td>0</td><td>0, 1, 2</td><td>1</td><td>0</td><td>0, 1</td><td>0</td><td>0</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Maclurodendron</i></th><td>0</td><td>1</td><td>1</td><td>1</td><td>0</td><td>1</td><td>1</td><td>2</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Macrostylis</i></th><td>0</td><td>0, 1</td><td>2</td><td>1</td><td>1</td><td>0, 1</td><td>2</td><td>0</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Medicosma</i></th><td>0, 1</td><td>0, 1, 2</td><td>1</td><td>0, 1</td><td>1</td><td>0, 1</td><td>2</td><td>2</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Melicope</i> A</th><td>0, 1</td><td>1</td><td>1</td><td>0, 1</td><td>1</td><td>1</td><td>3</td><td>2</td><td>1</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Melicope</i> B</th><td>0, 1</td><td>1</td><td>1</td><td>0</td><td>0, 1</td><td>1</td><td>3</td><td>2</td><td>1</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Melicope</i> C</th><td>0, 1</td><td>1, 2</td><td>1</td><td>0, 1</td><td>0, 1</td><td>1</td><td>3</td><td>2</td><td>0, 1, 2</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Melicope</i> D</th><td>0, 1</td><td>1</td><td>1</td><td>0</td><td>1</td><td>0, 1</td><td>3</td><td>2</td><td>1</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Melicope</i> E (<i>Platydesma</i>)</th><td>0</td><td>0, 1</td><td>1</td><td>1</td><td>0</td><td>2, 3</td><td>3</td><td>2</td><td>1</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Merope</i></th><td>0</td><td>0</td><td>2</td><td>1</td><td>0</td><td>1, 2</td><td>0</td><td>0</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Merrillia</i></th><td>1</td><td>0</td><td>2</td><td>1</td><td>0</td><td>3</td><td>0</td><td>0</td><td>?</td><td>0</td><td>1</td><td>0</td><td>0</td></tr><tr><th><i>Metrodorea</i></th><td>0, 1</td><td>1</td><td>2</td><td>0</td><td>0</td><td>1</td><td>2</td><td>0, 1</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Microcitrus</i> (<i>Citrus</i> s.l.)</th><td>0</td><td>0</td><td>1, 2, 3</td><td>2</td><td>0</td><td>1, 2, 3</td><td>5</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Microcybe</i></th><td>0</td><td>0</td><td>2</td><td>1</td><td>1</td><td>0, 1</td><td>2</td><td>2</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Micromelum</i></th><td>0, 1</td><td>0</td><td>2</td><td>1</td><td>0</td><td>1</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Monanthocitrus</i></th><td>0</td><td>0</td><td>2</td><td>1</td><td>0</td><td>1, 2, 3</td><td>0</td><td>0</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Muiriantha</i></th><td>0</td><td>0</td><td>2</td><td>1</td><td>1</td><td>0, 1</td><td>2</td><td>2</td><td>1</td><td>0</td><td>0</td><td>1</td><td>0</td></tr><tr><th><i>Murraya</i></th><td>1</td><td>0</td><td>1, 2</td><td>1</td><td>0</td><td>0, 1</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Myrtopsis</i></th><td>0</td><td>1</td><td>1, 2</td><td>1</td><td>1</td><td>0, 1</td><td>2</td><td>?</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Naringi</i></th><td>0, 1</td><td>0</td><td>1, 2</td><td>1</td><td>0</td><td>0, 1</td><td>5</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Nematolepis</i></th><td>0</td><td>0</td><td>2</td><td>1</td><td>1</td><td>0, 1</td><td>2</td><td>2</td><td>1</td><td>0</td><td>0</td><td>0, 1</td><td>0</td></tr><tr><th><i>Neobyrnesia</i></th><td>0</td><td>1</td><td>1</td><td>0</td><td>1</td><td>0, 1</td><td>2</td><td>2</td><td>1</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Neoraputia</i></th><td>0, 1</td><td>0, 1</td><td>2</td><td>0</td><td>0</td><td>1</td><td>2</td><td>1</td><td>?</td><td>0</td><td>1</td><td>1</td><td>0</td></tr><tr><th><i>Neoschmidea</i></th><td>0</td><td>0</td><td>1, 2</td><td>1</td><td>1</td><td>1</td><td>2</td><td>2</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Orixa</i></th><td>0</td><td>0</td><td>1</td><td>0</td><td>1</td><td>0</td><td>2</td><td>1</td><td>1</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Pamburus</i></th><td>0</td><td>0</td><td>1, 2</td><td>1</td><td>0</td><td>1</td><td>0</td><td>0</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Paramignya</i></th><td>0</td><td>0</td><td>1, 2</td><td>1</td><td>0</td><td>0, 1</td><td>0</td><td>0</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Peltostigma</i></th><td>0, 1</td><td>0</td><td>0, 1, 2, 3</td><td>1, 2</td><td>0</td><td>0, 1</td><td>2</td><td>0</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Pentaceras</i></th><td>1</td><td>0</td><td>2</td><td>1</td><td>1</td><td>1</td><td>1, 4</td><td>1</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Perryodendron</i></th><td>0</td><td>1</td><td>1</td><td>1</td><td>1</td><td>1</td><td>3</td><td>2</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Phebalium</i></th><td>0</td><td>0</td><td>2</td><td>1</td><td>1</td><td>0, 1</td><td>2</td><td>2</td><td>1, 2</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Phellodendron</i></th><td>1</td><td>1</td><td>2</td><td>0</td><td>0</td><td>0</td><td>1</td><td>1</td><td>2</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Philotheca</i> A</th><td>0</td><td>0</td><td>1, 2</td><td>1</td><td>1</td><td>0, 1</td><td>2</td><td>2</td><td>1, 2</td><td>0</td><td>0</td><td>0, 1</td><td>0</td></tr><tr><th><i>Philotheca</i> B</th><td>0</td><td>0</td><td>2</td><td>1</td><td>1</td><td>0, 1</td><td>2</td><td>2</td><td>1, 2</td><td>0</td><td>0</td><td>0, 1</td><td>0</td></tr><tr><th><i>Phyllosma</i></th><td>0</td><td>0</td><td>2</td><td>0, 1</td><td>1</td><td>0, 1</td><td>2</td><td>0</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Picrella</i></th><td>0, 1</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0, 1</td><td>1</td><td>2</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Pilocarpus</i></th><td>0, 1</td><td>0</td><td>1, 2</td><td>0</td><td>0</td><td>0, 1</td><td>2</td><td>0</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Pitavia</i></th><td>0</td><td>1, 2</td><td>1</td><td>1</td><td>1</td><td>1</td><td>1</td><td>1</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Pitaviaster</i></th><td>0</td><td>1</td><td>1</td><td>0</td><td>1</td><td>1</td><td>1</td><td>2</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th>Taxon</th><td>1</td><td>2</td><td>3</td><td>4</td><td>5</td><td colspan="2">Characters 6 7</td><td>8</td><td>9</td><td>10</td><td>11</td><td>12</td><td>13</td></tr><tr><th><i>Pleiospermium</i></th><td>0, 1</td><td>0</td><td>1, 2</td><td>1</td><td>0</td><td>1</td><td>5</td><td>0</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Plethadenia</i></th><td>1</td><td>0, 1</td><td>1</td><td>1</td><td>2</td><td>0</td><td>2</td><td>?</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Poncirus</i> (<i>Citrus</i> s.l.)</th><td>1</td><td>0</td><td>1, 2, 3</td><td>2</td><td>0</td><td>1, 2, 3</td><td>5</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Psilopeganum</i></th><td>1</td><td>0</td><td>1, 2</td><td>1</td><td>1</td><td>2, 3</td><td>2</td><td>2</td><td>?</td><td>2</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Ptaeroxylon</i></th><td>1</td><td>1</td><td>1</td><td>0</td><td>0</td><td>0</td><td>2</td><td>0</td><td>?</td><td>0</td><td>0</td><td>0</td><td>1</td></tr><tr><th><i>Ptelea</i></th><td>1</td><td>0</td><td>1, 2, 3</td><td>0</td><td>0</td><td>1</td><td>2, 4</td><td>2</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Rauia</i></th><td>0, 1</td><td>0</td><td>2</td><td>0</td><td>0</td><td>1</td><td>2</td><td>1</td><td>?</td><td>0</td><td>0</td><td>1</td><td>0</td></tr><tr><th><i>Ravenia</i></th><td>0, 1</td><td>1</td><td>2</td><td>0</td><td>1</td><td>1</td><td>2</td><td>1</td><td>?</td><td>0</td><td>1</td><td>1</td><td>0</td></tr><tr><th><i>Rhadinothamnus</i></th><td>0</td><td>0</td><td>2</td><td>1</td><td>1</td><td>0, 1</td><td>2</td><td>2</td><td>?</td><td>0</td><td>0</td><td>0, 1</td><td>0</td></tr><tr><th><i>Ruta</i></th><td>1</td><td>0</td><td>1, 2</td><td>1</td><td>0</td><td>4</td><td>2</td><td>2</td><td>0, 1, 2</td><td>1, 2</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Sarcomelicope</i></th><td>0</td><td>1, 2</td><td>1</td><td>1</td><td>0, 1</td><td>1</td><td>1</td><td>2</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Severinia</i></th><td>0</td><td>0</td><td>1, 2, 3</td><td>1</td><td>0</td><td>0, 1</td><td>5</td><td>0</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Sheilanthera</i></th><td>0</td><td>0</td><td>2</td><td>0</td><td>1</td><td>0, 1</td><td>2</td><td>0</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Sigmatanthus</i></th><td>1</td><td>0</td><td>2</td><td>0</td><td>1</td><td>1</td><td>2</td><td>1</td><td>?</td><td>0</td><td>1</td><td>1</td><td>0</td></tr><tr><th><i>Skimmia</i></th><td>0</td><td>0</td><td>1, 2, 3</td><td>0</td><td>0</td><td>0</td><td>1</td><td>2</td><td>1, 2</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Sohnreyia</i></th><td>1</td><td>0</td><td>2</td><td>0</td><td>0</td><td>0, 1</td><td>4</td><td>0, 1, 2</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Spathelia</i></th><td>1</td><td>0</td><td>2</td><td>0</td><td>0</td><td>0, 1</td><td>4</td><td>0, 1, 2</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Spiranthera</i></th><td>1</td><td>0</td><td>2</td><td>0</td><td>0</td><td>1</td><td>2</td><td>1</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Swinglea</i></th><td>1</td><td>0</td><td>2</td><td>1</td><td>0</td><td>4</td><td>0</td><td>0</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Tetractomia</i></th><td>0</td><td>1</td><td>1</td><td>1</td><td>1</td><td>1</td><td>3</td><td>2</td><td>?</td><td>0</td><td>0</td><td>0</td><td>1</td></tr><tr><th><i>Tetradium</i></th><td>1</td><td>1</td><td>1, 2</td><td>0</td><td>1</td><td>0, 1</td><td>3</td><td>2</td><td>1, 2</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Thamnosma</i></th><td>0</td><td>0</td><td>1</td><td>1</td><td>0</td><td>2, 3</td><td>2</td><td>2</td><td>0</td><td>0, 1</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Toxosiphon</i></th><td>0, 1</td><td>0</td><td>2</td><td>0</td><td>0</td><td>1</td><td>2</td><td>1</td><td>?</td><td>0</td><td>1</td><td>1</td><td>0</td></tr><tr><th><i>Triphasia</i></th><td>0, 1</td><td>0</td><td>0, 2</td><td>1</td><td>0</td><td>0, 1</td><td>0</td><td>0</td><td>0, 1</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Vepris</i></th><td>0, 1</td><td>0, 1</td><td>1</td><td>0, 1</td><td>0, 3</td><td>0, 1</td><td>1</td><td>2</td><td>1</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Wenzelia</i></th><td>0</td><td>0</td><td>2</td><td>1</td><td>0</td><td>3</td><td>0</td><td>0</td><td>?</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Zanthoxylum</i> A</th><td>0, 1</td><td>0</td><td>1, 2</td><td>0</td><td>1</td><td>1</td><td>3</td><td>1, 2</td><td>1, 2, 3</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Zanthoxylum</i> B</th><td>0, 1</td><td>0</td><td>1, 2</td><td>0</td><td>1</td><td>1</td><td>3</td><td>1, 2</td><td>1, 2, 3</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Zanthoxylum</i> C</th><td>0, 1</td><td>0</td><td>0, 1, 2, 3</td><td>0</td><td>1</td><td>1</td><td>3</td><td>1, 2</td><td>1, 2, 3</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Zanthoxylum</i> D (<i>Toddalia</i>)</th><td>0, 1</td><td>0</td><td>1, 2, 3</td><td>0</td><td>0</td><td>1</td><td>1</td><td>2</td><td>1, 2</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th><i>Zieria</i></th><td>0, 1</td><td>1</td><td>1</td><td>0</td><td>1</td><td>0, 1</td><td>2</td><td>2</td><td>1, 2</td><td>0</td><td>0</td><td>0</td><td>0</td></tr></tbody></table><p><b>1.</b> Leaf type: (0) simple/unifoliolate; (1) compound. <b>2.</b> Phyllotaxis: (0) alternate; (1) opposite; (2) whorled. <b>3.</b> Flower merosity: (0) 3-merous; (1) 4-merous; (2) 5-merous; (3) polymerous. <b>4.</b> Stamen whorls: (0) haplostemonous; (1) diplostemonous; (2) more than two whorls. <b>5.</b> Carpel connation: (0) syncarpous; (1) syncarpous (style only); (2) apocarpous (no joined style); (3) one carpel. <b>6.</b> Ovules per locule: (0) 1; (1) 2; (2) 3–5; (3) 6–10; (4)>10. <b>7.</b> Fruit type: (0) berry; (1) drupe; (2) dehiscent with seeds detached; (3) dehiscent with seeds attached; (4) samara; (5) hesperidium. <b>8.</b> Endosperm: (0) lacking; (1) scanty; (2) copious. <b>9.</b> Chromosomes: (0) 9–10; (1) 14–18; (2) 28–36; (3) ≥64. <b>10.</b> Growth form: (0) shrubs or trees; (1) subshrubs; (2) perennial herbs. <b>11.</b> Flower symmetry: (0) actinomorphic; (1) zygomorphic. <b>12.</b> Tubular corolla: (0) petals free and not forming a tube; (1) petals coherent or connate and forming a corolla tube. <b>13.</b> Seeds: (0) not winged; (1) winged</p><p>(Continues)</p><p>(Continues)</p>
Supplementary Information for "Performance evaluation of adaptive introgression classification methods"
<p>Supplementary information : supplementary figures and tables from "<em>Performance evaluation of adaptive introgression classification methods</em>", Romieu <em>et al., </em>2024 manuscript. ROC values, curves and score value by non-AI windows type for various demographic scenarios.</p>
GLC_FCS30D: the first global 30-m land-cover dynamic monitoring product with fine classification system from 1985 to 2022
<div> <p>GLC_FCS30D is the first global fine land cover dynamic product at a 30-meter resolution that adopts continuous change detection. It utilizes a refined classification system containing 35 land-cover categories and covers the time span from 1985 to 2022. Before the year 2000, the update cycle was every 5 years, while after 2000, it is updated annually. In specific, it developed by combining the continuous change detection method, local adaptive updating models and the spatiotemporal optimization algorithm from dense time-series Landsat imagery, and was validated to achieve an overall accuracy of 80.88% (±0.27%) for the basic classification system 10 major land-cover types) and 73.24% (±0.30%) for the LCCS level-1 validation system (17 LCCS land-cover types).</p> <p>The GLC_FCS30D has been compressed into 36 zip files, and<strong> <em>the details about the GLC_FCS30D can be found in the User's guides.</em></strong></p> </div>
Microscopy Imaging Dataset: Trypanosoma brucei Bloodstream Form Classification Using Deep Learning
<p>This dataset provides a comprehensive collection of microscopic images and associated labels, specifically designed to facilitate the automated classification of <em>Trypanosoma brucei</em> bloodstream forms—slender and stumpy. Accurate differentiation of these life cycle stages is vital for understanding the parasite's biology, transmission dynamics, and adaptation mechanisms in its mammalian host.</p> <p><strong>Contents:</strong></p> <ul> <li><strong>Image Data</strong>: Microscopic images of <em>T. brucei</em> bloodstream forms captured under standard imaging conditions, encompassing a broad array of image quality, cellular arrangements, and morphological characteristics.</li> <li><strong>Label Data</strong>: Annotation files for each image, specifying cellular forms as slender or stumpy, essential for supervised machine learning applications.</li> <li><strong>Supplementary Files</strong>: Additional Excel files providing information on training, testing, and validation splits, alongside test results for model evaluation.</li> </ul> <p><strong>Purpose:</strong></p> <p>This dataset serves as a valuable resource for researchers in parasitology, machine learning, and computational biology. It supports investigations into the biology and life cycle of <em>T. brucei</em>, while also providing a robust testbed for developing, validating, and benchmarking image processing and classification algorithms tailored to parasite morphology.</p> <p><strong>Data Collection and Methodology:</strong></p> <p>The dataset was compiled using advanced deep learning techniques, integrating the Cellpose segmentation algorithm with a custom-trained Xception model optimized for classifying <em>T. brucei</em> forms. The model achieved 97% classification accuracy, demonstrating effective application in handling complex cell images and distinguishing between slender and stumpy forms in challenging imaging conditions.</p> <p><strong>Usage:</strong></p> <p>Researchers are encouraged to use this dataset to:</p> <ul> <li>Analyze and classify the life cycle stages of <em>T. brucei</em> bloodstream forms in microscopic images.</li> <li>Develop and test deep learning models for single-cell image segmentation and classification.</li> <li>Explore cellular morphology patterns and refine machine learning approaches for other single-cell imaging applications.</li> </ul> <p><strong>Citation:</strong></p> <p>Please cite the original dataset if you utilize this resource in your research to acknowledge its contribution to the field.</p> <p><strong>Access and Availability:</strong></p> <p>This dataset is openly available through Zenodo, enabling researchers to download, explore, and apply it in various fields, from parasitology to advanced computational biology.</p>
Multi-ideology ISIS/Jihadist White Supremacist (MIWS) Dataset for Multi-class Extremism Text Classification
<p>**************Information on how to use our Multi-ideology ISIS/Jihadist White Supremacist Dataset(MIWS)for Multi-class Extremism Text Classification ************</p> <p>Folder name: Seed_MIWS<br> Sub Folder 1 : Seed_Dataset<br> Inside this folder there are two .csv files.<br> 1) ISIS/Jihadist_Seed_Dataset<br> 2) White_Supremacist_Seed_Dataset</p> <p>These files have common features as:<br> ***************************** Common Features in Seed ******************************************************<br> *********Source :- Contains Author, Article Name or Hyperlink to Article************************************<br> *********Type_of_Source :- Whether Source is Research Article or Report or Website**************************<br> *********Text :- Contains Extremist Text provided in Source*************************************************<br> *********Ideology :- Ideology of Text mentioned in Source i.e. ISIS/Jihadist or White Supremacist***********<br> *********Label :- Labels for Text provided by Source i.e. Propaganda, Radicalization or Recruitment*********<br> *********Geographical_Location :- Location mentioned in Text. Geographical Location is manually identified**<br> *********Author_Country_Affiliation :- Country of origin of Research Article, Report or Website in Source***</p> <p>Sub Folder 2 : MIWS<br> Inside this folder ther is one .csv file:</p> <p>It contains features as:<br> *****************************Features in MIWS********************************************************************************<br> **********Tweet_ID :- Unique Identification for a Tweet provided by Twitter**************************************************<br> **********Created_Date :- Date and Time at whic Tweet was created or posted**************************************************<br> **********Geo_Enabled :- Boolean value. True if location is made public by User**********************************************<br> **********Geographical_Location :- Manually extracted list of Locations within the tweet. 'Undefined' if no location present*<br> **********Ideology :- Manually provided during Tweet Collection i.e. ISIS/Jihadist or White Supremacist**********************<br> **********Labels :- Annotated by comparing with Seed, i.e. Propaganda, Radicalization and Recruitment***********************</p> <p>MIWS file can be used to collect tweets and train model for extremism detection.</p>
Fig. 7 in A reconsideration of the infrageneric classification of Homalium Jacq. (Salicaceae)
Fig. 7. – Flowers of atypical species of Homalium sect. Eumyriantheia Warb. (A), H. sect. Polyanthera Warb. (B-C), and H. sect. Pierrea (Hance) Warb. (D-F). A. Homalium trigynum (Baker) Sleumer: post-flowering; B-C. Homalium moultonii Merr.: flower, top view, and post-flowering; D-F. Homalium grandiflorum Benth.: pressed-open flower, flower with bract, and post-flowering. [A: Randrianaivo et al. 833; B: Jawa 36601; C: Dyg. Awa & Othman S47078; D-E: Parkinson 8754; F: Elmer 21686]
Fig. 1 in A reconsideration of the infrageneric classification of Homalium Jacq. (Salicaceae)
Fig. 1. – Flowers and fruit of Homalium sect. Homalium. A-B. Homalium racemosum Jacq.: flower and fruit longitudinal section; C. Homalium guianense (Aubl.) Oken; D-F. Homalium abdessammadii Asch. & Schweinf.: flower, close-up of anthers and fruit longitudinal section. [A-B: Clarke et al. 6438; C: Del Carpio et al. 1685; D-E: Vandenberghen 5; F: White 1068]
Fig. 4 in A reconsideration of the infrageneric classification of Homalium Jacq. (Salicaceae)
Fig. 4. – Flowers of Homalium sect. Eumyriantheia Warb. from Madagascar. A. Homalium oppositifolium (Tul.) Baill.: top and side views; B. Homalium laxiflorum (Tul.) Baill.; C. Homalium capuronii Sleumer: post-flowering. [A: Randrianasolo et al. 63; B: Andrianjafy et al. 136; C: McPherson & van der Werff 16420]
Fig. 5 in A reconsideration of the infrageneric classification of Homalium Jacq. (Salicaceae)
Fig. 5. – Flowers and fruit of Homalium sect. Eumyriantheia Warb. from Asia and Malesia. A. Homalium caryophyllaceum (Zoll. & Moritz) Benth.: flower and ovary longitudinal section; C. Homalium foetidum (Roxb.) Benth.: flower, fruit and longitudinal section; E. Homalium myriandrum Merr., fruit and longitudinal section; F. Homalium dasyanthum (Turcz.) Theob.; G. Homalium bracteatum Benth.; H. Homalium dentrecasteauxense Craven. [A-B: Giesen 115; C: Chung 2678; D: Soejarto et al. 7791; E: Petelot 960 (left) & Hiep 3036 (right); F: Maxwell 86-400; G: Jacobs s.n.; H: Takeuchi & Towati 14876]
Fig. 6 in A reconsideration of the infrageneric classification of Homalium Jacq. (Salicaceae)
Fig. 6. – Flowers and fruit of Homalium sect. Eumyriantheia Warb. from Pacific islands and Australia. A. Homalium decurrens (Vieill.) Briq.: flower and fruit; B. Homalium guillainii (Vieill.) Briq.: fruit and longitudinal section; C. Homalium francii Guillaumin; D. Homalium vitiense Benth.; E. Homalium alnifolium Thwaites & F. Muell.; F-G. Homalium deplanchei (Vieill.) Warb. (formerly placed in H. sect. Polyanthera Warb.): top and side views and dehiscing anthers. [A: MacKee 30488; B: McPherson 3747; C: McPherson 1598; D: Degener 14969; E: Hodge s.n.; F-G: MacKee 37844]
Fig. 8 in A reconsideration of the infrageneric classification of Homalium Jacq. (Salicaceae)
Fig. 8. – Flowers and fruit of the Malagasy Homalium sect. Odontolobus Warb. (A-D) and atypical Malagasy species until now placed in H. sect. Blackwellia Benth. (E-G). A-B. Homalium lucidum Scott-Elliot: underside of flower and top view; C. Homalium parkeri Baker: flower cluster; D. Homalium moniliforme H. Perrier, flower clusters; E-F. Homalium planiflorum (Boivin ex Tul.) Baill.: flower and longitudinal section of fruit; G. Homalium brachystylis (Tul.) Baill.: flower. [A: Iambana 181; B: Ravelonarivo 2253; C: Skema et al. 54; D: Ludovic et al. 870; E: Rakotovao 4737; F: Nicoll et al. 553; G: Ranaivojaona et al. 365]
Fig. 3 in A reconsideration of the infrageneric classification of Homalium Jacq. (Salicaceae)
Fig. 3. – Flowers and fruit of Homalium sect. Blackwellia Benth. from Asia and Africa. A-B. Homalium napaulense (DC.) Benth.: flower side and top views; C-D. Homalium cochinchinense (Lour.) Druce: flower and close-up of anthers; E. Homalium paniculiflorum F.C. How & W.C. Ko: fruit longitudinal section; F. Homalium tomentosum (Vent.) Benth.: flower and fruit longitudinal section; G. Homalium dentatum (Harv.) Warb.: flowers. [A-B: Suzuki et al. 9455047; C-D: Liang & Liang 94; E: Chow et al. 78286; F: Raizada s.n.; G: Chase 8113]
Fig. 2 in A reconsideration of the infrageneric classification of Homalium Jacq. (Salicaceae)
Fig. 2. – Flowers and fruit of Homalium sect. Blackwellia Benth. from Mauritius, Madagascar, and Africa. A. Homalium paniculatum (Lam.) Benth.; B. Homalium axillare (Lam.) Benth.; C. Homalium erianthum (Tul.) Baill.; D. Homalium myrtifolium Sleumer; E. Homalium viguieri H. Perrier; F-H. Homalium rufescens Benth.: flower, dehiscing anthers, and fruit longitudinal section. [A: Lorence 1161; B: Antilahimena 8838; C: Randrianasolo et al. 519; D: Thulin & Razafindraibe 11855; E: Rakotonirina 535; F-H: Ogilvie 28864]
Classification of blood cells dynamics with convolutional and recurrent neural networks: a sickle cell disease case study
<p>The fraction of red blood cells (RBC) adopting a specific motion under low shear flow is a promising inexpensive marker for monitoring the clinical status of patients with sickle cell disease (SCD). Its high-throughput measurement relies on the video analysis of thousands of cell motions for each blood sample to eliminate a large majority of unreliable samples(out of focus or overlapping cells) and discriminate between tank-treading and flipping motion, characterizing highly and poorly deformable cells respectively. These videos are of different durations (from 6 to more than 100 frames).</p> <p>This dataset contains four adult patients with SCD. They were enrolled in the study Drepaforme (approved by the institutional review board CPP Ouest 6 under the reference n°2018A00679-46) and were sampled weekly for several months. The movies were processed using in-house routines in Matlab (Matlab, R2016a) and RBC were detected individually and tracked over time. The database provided in this repository are already pre-processed sequences of tracked and centered RBC over time, each time step image being normalized to 31x31 pixels. Within the 32 experiments, the total number of sequences (or samples) is nearly 150 000. All sequences were semi-automatically labelled into 3 classes, depending on the dynamic of the cell: tank-treading, flipping and unreliable (140 000 are unreliable). The percentage of tank-treading cells with respect to all reliable cells (tank-treading+flipping) in every experiment is the final goal of this study.</p> <p>This dataset is very interesting to the community as it is a large database for cell dynamics classification: the class depends on the movement of the cell.</p> <p>An automatic processing of the database using a 2-stage deep learning model is available here https://github.com/icannos/redbloodcells_disease_classification</p> <p>For opening the data in python:</p> <p> from scipy.io import loadmat<br> x=loadmat('BG20191003shear10s01_Export.mat')</p> <p> * x['Norm_Tab'] is of size nb_samples x max_len_sequences x 31 x 31, where max_len_sequences is the length of the longest sequence of the series, typically ~150 to 180. The other sequences are padded with 31x31 zero matrices at the end in order to fill this maximal length.</p> <p> * x['Labels_Num'] is the corresponding label of each sequence, of size nb_samples. Label can be:<br> - 0 : "tank-treading" (or healthy)<br> - 1 : "flipping" (or tumbling, i.e. related to a SCD)<br> - 2 : "unreliable"</p>
Benchmarking eliminative radiomic feature selection for head and neck lymph node classification - Supplemental data
<p>Supplementary files for the publication "Benchmarking eliminative radiomic feature selection for head and neck lymph node classification"</p>
evaluation data for "Capturing the songs of mice with an improved detection and classification method for ultrasonic vocalizations (BootSnap)"
<p>Data contains sound files of mouse vocalization needed to reproduce the evaluation results for "Capturing the songs of mice with an improved detection and classification method for ultrasonic vocalizations (BootSnap)"</p> <p>If you use any of this data, cite the original source: <a href="https://doi.org/10.1016/j.anbehav.2020.09.006">https://doi.org/10.1016/j.anbehav.2020.09.006</a></p>
Aeroelastic simulations of wind turbines affected by leading edge erosion: datasets for multivariate time-series classification
<p>This repository contains data generated and used for classification in the publication:<br> Duthé, G.; Abdallah, I.; Barber, S.; Chatzi, E. Modeling and Monitoring Erosion of the Leading Edge of Wind Turbine Blades. <em>Energies</em> <strong>2021</strong>, <em>14</em>, 7262. https://doi.org/10.3390/en14217262</p> <p>The data is generated via OpenFAST aeroelastic simulations coupled with a Non-Homogeneous Compound Poisson Process for degradation modelling and was used to train a Transformer deep learning model.</p> <p>One degradation run generates 1200 samples (1 sample every 6 days corresponding to a 20 year degradation period). In total 20 degradation runs are made available (20x1200 = 24'000 multivariate time-series samples). This repo can serve to benchmark long multivariate time-series classification algorithms. There are 10 possible classes of erosion severity.</p> <p>Each sample is a multivariate time-series of length 60'000, with the following 4 channels extracted from the simulations for a section at the tip of the blade:</p> <ul> <li>Inflow velocity</li> <li>Angle of attack</li> <li>Lift coefficient</li> <li>Drag coefficient</li> </ul> <p>Please see the publication above for more information as well as the included readme for information about the data and an example of how to load it into to PyTorch.</p> <p> </p>
Extra Testing Data for paper "OC_Finder: A deep learning-based software for osteoclast segmentation, classification, and counting"
<pre>Here we have 9 datasets we used to validate OC_Finder's performance on various imaging settings. The 9 datasets are inside the folder named "9 datasets for validation experiment". Each dataset is composed of image files and csv files for the coordination of osteoclasts and non-osteoclasts that were manually labelled by human examiner. csv files ending "_posi" has coordination of osteoclasts and "_nega" has coordination of non-osteoclasts. Images in dataset #4, #5, #6, #7, #8, and #9 were resized so the scale of the images matched to the OC_Finder's training dataset. Images in original size before resizing are also provided in "Original images before resizing". Detailed capture setting and resizing information of images in each dataset can be found in "capture setting.xlsx". The number of images in each dataset are as following: #1: 18 #2: 18 #3: 18 #4: 36 #5: 36 #6: 36 #7: 16 #8: 16 #9: 16</pre>
Japanese Black Beef Cow Behavior Classification Dataset
<p>Licensed under:<br> Attribution-NonCommercial-NoDerivatives 4.0 International<br> <a href="https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode">https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode</a></p> <p><strong>Japanese Black Beef Cow Behavior Classification Dataset</strong></p> <p>This dataset contains tri-axial accelerometer sensor data with thirteen different labeled cow behaviors. This data was gathered with a 16bit +/- 2g Kionix KX122-1037 accelerometer attached to the neck of six different Japanese Black Beef Cows (`cow1.csv`-`cow6.csv`) at a cow farm of Shinshu University in Nagano, Japan on the 12th of June, 2020.</p> <p>The data gathering took place over the course of one day in which the cows were allowed to roam freely in two different areas, namely, a grass field and farm pens, while being filmed with Sony FDR-X3000 4K video cameras.</p> <p>The timestamps of the video and accelerometer data were matched while human observers which included behavior experts and non-experts labeled the data from the video footage. The labeling and data gathering took a total of 69 person-hours.</p> <p>567 minutes of unlabeled data were parsed into 197 minutes of high-quality labeled data comprising thirteen behaviors by means of majority voting with three annotators. The time per behavior in number of samples (@25Hz) and their respective descriptions are shown in the following table:</p> <table> <thead> <tr> <th scope="col"> </th> <th scope="col">Cow 1</th> <th scope="col">Cow 2</th> <th scope="col">Cow 3</th> <th scope="col">Cow 4</th> <th scope="col">Cow 5</th> <th scope="col">Cow 6</th> <th scope="col">Description</th> </tr> </thead> <tbody> <tr> <td>RES</td> <td>35814</td> <td>47059</td> <td>20501</td> <td>15735</td> <td>11025</td> <td>19996</td> <td>Resting in standing position</td> </tr> <tr> <td>RUS</td> <td>1620</td> <td>25930</td> <td>11156</td> <td>14523</td> <td>0</td> <td>0</td> <td>Ruminating in standing position</td> </tr> <tr> <td>MOV</td> <td>6376</td> <td>8437</td> <td>7532</td> <td>17248</td> <td>4846</td> <td>5760</td> <td>Moving</td> </tr> <tr> <td>GRZ</td> <td>2416</td> <td>2199</td> <td>0</td> <td>2707</td> <td>2442</td> <td>7849</td> <td>Grazing</td> </tr> <tr> <td>SLT</td> <td>204</td> <td>0</td> <td>10654</td> <td>0</td> <td>0</td> <td>0</td> <td>Salt licking</td> </tr> <tr> <td>FES</td> <td>6809</td> <td>0</td> <td>0</td> <td>0</td> <td>1125</td> <td>0</td> <td>Feeding in stanchion</td> </tr> <tr> <td>DRN</td> <td>1176</td> <td>0</td> <td>1300</td> <td>0</td> <td>0</td> <td>0</td> <td>Drinking</td> </tr> <tr> <td>LCK</td> <td>0</td> <td>0</td> <td>649</td> <td>297</td> <td>0</td> <td>356</td> <td>Licking</td> </tr> <tr> <td>REL</td> <td>0 </td> <td>360</td> <td>0</td> <td>404</td> <td>0</td> <td>0</td> <td>Resting in lying position</td> </tr> <tr> <td>URI</td> <td>239</td> <td>0</td> <td>383</td> <td>0</td> <td>0</td> <td>0</td> <td>Urinating</td> </tr> <tr> <td>ATT</td> <td>57</td> <td>50</td> <td>0</td> <td>62</td> <td>0</td> <td>197</td> <td>Attacking</td> </tr> <tr> <td>ESC</td> <td>0</td> <td>0</td> <td>0</td> <td>128</td> <td>0</td> <td>0</td> <td>Escaping</td> </tr> <tr> <td>BMN</td> <td>0</td> <td>54</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>Being mounted</td> </tr> <tr> <td>ETC</td> <td>105917</td> <td>103084</td> <td>129297</td> <td>62064</td> <td>53922</td> <td>100571</td> <td>Other behaviors</td> </tr> <tr> <td>BLN</td> <td>151249</td> <td>82599</td> <td>88431</td> <td>111744</td> <td>61544</td> <td>45128</td> <td>Data without video, no label</td> </tr> <tr> <td>Sum</td> <td>311876</td> <td>269772</td> <td>269903</td> <td>224912</td> <td>134904</td> <td>179857</td> <td> </td> </tr> </tbody> </table> <p>Accelerometer sampling rate was set to 25Hz.</p> <p>The data is split into six .csv files which represents each of the 6 cows above. The columns of these files are defined as follows:</p> <table> <thead> <tr> <th scope="col">TimeStamp_UNIX [-]</th> <th scope="col">TimeStamp_JST [-]</th> <th scope="col">AccX [g]</th> <th scope="col">AccY [g]</th> <th scope="col">AccZ [g]</th> <th scope="col">Label [-]</th> </tr> </thead> <tbody> <tr> <td>GPS timestamp in UNIX</td> <td>GPS timestamp in JST</td> <td>X-axis acceleration</td> <td>Y-axis acceleration</td> <td>z-axis acceleration</td> <td>labeled behavior</td> </tr> </tbody> </table> <p>The gathering of this data with these cows was reviewed and approved by the Institutional Animal Care and Use Committee of Shinshu University.</p> <p><strong>Version History</strong></p> <p>v1.0.0: Release on 24th of September, 2021. First version.</p> <p>v2.0.0: This version. UNIX and Japan Standard Time (JST) time stamps are added for each .csv file of cow1-6. Added explanations of behaviors for ETC and BLN. More information on publications that use this dataset, data logger software that has been developed for this project.</p> <p><strong>Data logger open source software</strong></p> <p>Software developed for the data logger that was used to gather this dataset, Sony's IoT development board SPRESENSE, CXD5602PWBMAIN1. The function of this data logger is to write inertia sensor data along with timestamps. Timestamp data is corrected with GPS signal. Available in Arduino development environment.</p> <p><a href="https://zenodo.org/record/5848608#.YeFF9NHP3Z8">https://zenodo.org/record/5848608#.YeFF9NHP3Z8</a></p> <p><strong>Publications using this dataset</strong></p> <p><a href="https://ieeexplore.ieee.org/abstract/document/9566833">[1] Li, Chao, et al. "Data Augmentation for Inertial Sensor Data in CNNs for Cattle Behavior Classification." IEEE Sensors Letters 5.11 (2021): 1-4.</a></p> <p><a href="https://ieeexplore.ieee.org/abstract/document/9401342">[2] Bartels, Jim, et al. "A 216 microW, 87% Accurate Cow Behavior Classifying Decision Tree on FPGA With Interpolated Arctan2." 2021 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2021.</a></p>
Mathematics Subject Classification interrater agreement dataset
<p>The Mathematics Subject Classification organizes Publications, Software, and Research Data into a hierarchical classification scheme maintained by MathSciNet (mr) and zbMATH Open (zbmath). According to the classification scheme, both organizations mr and zbmath agree on this classification and use labels to organize publications from mathematics and related fields. However, the classification of individual papers is done independently of each other. This dataset contains references to papers that occur in both collections (mr and zbmath) together with the respective classification labels.</p> <p>The dataset is followed in the follwing form</p> <pre><code>zbmath-id, zbmath-msc, mr-id, mr-msc 5635019, 55-06 57-06 55R70 57Q45 00B25, MR2556072, 54-06 55-06 5641347, 68R10 05C85, MR2588354, 68W25 05C70 05C85 5641348, 68R10, MR2588355, 68Q25 05C65 05C70 05C85 68Q15 5641349, 68Q05, MR2588356, 68Q05 5641350, 68M20 68W25 68T42, MR2588357, 68T42 68W25 5641351, 68M10, MR2588358, 68Q85 68Q10 5641352, 68R15, MR2588359, 68R15 05A05 05C78 5641353, 68T30 68R10, MR2588360, 05C62 68R10 5641354, 68Q30, MR2588361, 68Q30 60A99 60J20 5641355, 68W27 68M10, MR2588362, 68M10 05C82 05C85 68W27 68W40 5641356, 68W05 68T05, MR2588363, 68T05 62H30 5641357, 68W40, MR2588364, 05A15 68R05 5641358, 91A10 91A05 68Q17 91A06, MR2588365, 91A05 68W25 5641359, 91A10 68T42 68M10, MR2588366, 91B26 5641360, 68W40 68P05 68P10, MR2588367, 68W40 68P05 68Q87 5641361, 68P25 94A62, MR2588368, 94A62 11T71 68P25 5641362, 68Q45, MR2588369, 68Q45 05A05 5641363, 90C35, MR2588370, 68R10 05C85 68W25 90C35 5641364, 54H20, MR2588371, 37E10 37B10 37E45 </code></pre> <p>The meaning of the fields is:</p> <ul> <li><strong>zbmath-id</strong> Unique identifier from zbMATH Open. Prefix with <code>https://zbmath.org/</code> to visit additional information on the article. For example, <code>5635019</code> is associated with <a href="https://zbmath.org/5635019">https://zbmath.org/5635019</a></li> <li><strong>zbmath-msc</strong> space separated list of <a href="https://zbmath.org/classification/">Mathemematics Subject Classifiction</a> labels created by zbMATH Open staff. A description of the label can be retrieved by prefixing <code>https://zbmath.org/classification/?q=</code>. For example, <code>55-06</code> is associated with <a href="https://zbmath.org/classification/?q=55-06">https://zbmath.org/classification/?q=55-06</a></li> <li><strong>mr-id</strong> Unique identifier from MathReviews. Prefix with <code>https://mathscinet.ams.org/mathscinet-getitem?mr=</code> to retrieve additional information on the publication. For example, <code>MR3844132</code> is associated with <a href="https://mathscinet.ams.org/mathscinet-getitem?mr=MR2556072">https://mathscinet.ams.org/mathscinet-getitem?mr=MR2556072</a>.</li> <li><strong>mr-msc</strong> space seperated list of <a href="https://zbmath.org/classification/">Mathemematics Subject Classifiction</a> labels created by MathSciNet staff.</li> </ul> <p>The dataset was retrieved in 2016 by querying MathSciNet and zbMATH Open. Therefore, the classifications are based on the MSC 2010 version.</p> <p>This dataset was used in</p> <p>Schubotz M., Scharpf P., Teschke O., Kühnemund A., Breitinger C., Gipp B. (2020) AutoMSC: Automatic Assignment of Mathematics Subject Classification Labels. In: Benzmüller C., Miller B. (eds) Intelligent Computer Mathematics. CICM 2020. Lecture Notes in Computer Science, vol 12236. Springer, Cham. <a href="https://doi.org/10.1007/978-3-030-53518-6_15">https://doi.org/10.1007/978-3-030-53518-6_15</a></p> <p>and is now released to the public as an addendum to the paper.</p>
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