Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
1,913
datasets available to search
ShareScore release 0.9.0
Dataset results
1,913 results for “Morphological characters”
TABLE 7 in A revision of Anadolua (Orthoptera: Tettigoniidae: Tettigoniinae) based on morphological and bioacoustic characters: Newly confirmed data suggesting a new synonym and two new species
<p><b>TABLE 7</b>. Spectral parameters belong to male calling songs of <i>Anadolua shcwarzi</i>, <i>A. moli</i> <b>sp. nov.</b> and <i>A. bergeri</i> <b>sp. nov.</b> populations.</p><table><tbody><tr><th><b>Taxon (Location) / Range (min–max) m ± sd n</b></th><th><b>FS-DF kHz</b></th><th><b>FS-PF kHz</b></th><th><b>RS-DF kHz</b></th><th><b>RS-PF kHz</b></th></tr><tr><th><b><i>Anadolua bergeri</i> sp. nov.</b></th></tr></tbody><tbody><tr><th>Konya, Rezebeli (N=3)</th><td>23.55–39.67 30.85 ± 5.04 13</td><td>20.25–30.75 24.20 ± 3.15 13</td><td>42.60–54.38 49.95 ± 3.76 13</td><td>19.13–31.50 27.03 ± 4.09 13</td></tr><tr><th>Antalya, GündoğmuŞ (N=1)</th><td>24.00–31.30 27.70 ± 2.68 5</td><td>25.50–33.00 29.18 ± 3.48 5</td><td>37.00–43.14 40.55 ± 2.74 5</td><td>25.13–28.88 27.60 ± 1.58 5</td></tr></tbody></table><p>......continued on the next page</p>
TABLE 6 in A revision of Anadolua (Orthoptera: Tettigoniidae: Tettigoniinae) based on morphological and bioacoustic characters: Newly confirmed data suggesting a new synonym and two new species
<p><b>TABLE 6</b>. Temporal parameters measured from male calling songs of <i>Anadolua shcwarzi</i>, <i>Anadolua moli</i> <b>sp. nov.</b> <i>Anadolua bergeri</i> <b>sp. nov.</b> populations.</p><table><tbody><tr><th><b>Taxon (Location) Range m ± sd n</b></th><th><b>Song=Phrase Duration (s)</b></th><th><b>Syllables Group per phrase</b></th><th><b>Double Syllables Group Duration (ms)</b></th><th><b>Triple Syllables Group Duration (ms)</b></th><th><b>First Low amplitude Syllable Duration (ms)</b></th><th><b>First Syllable Duration (ms)</b></th><th><b>Second Syllable Duration (ms)</b></th><th><b>Third Syllable Duration (ms)</b></th></tr><tr><th><b><i>Anadolua moli</i> sp. nov.</b></th></tr></tbody><tbody><tr><th>Konya, Sultandağ (N=3)</th><td>3.12–17.21 6.63 ± 3.15 20</td><td>33–171 67 ± 30.4 20</td><td>87.7–164.2 104.10 ± 8.16 260</td><td>-</td><td>72.23–134.00 110.08 ± 19.35 13</td><td>23.05–47.40 28.45 ± 4.64 260</td><td>28.50–43.00 32.57 ± 3.53 260</td><td>--</td></tr><tr><th><i>Anadolua schwarzi</i></th></tr><tr><th><i>Muğla, Sandras</i> (N=4)</th><td>5.83–62.87 29.47 ± 17.47 11</td><td>30–273 156.00 ± 81.35 11</td><td>-</td><td>163.50–230.02 178.95 ± 13.76 100</td><td>273.12–520.05 417.33 ± 96.44 11</td><td>23.50–27.60 25.81 ± 1.05 100</td><td>23.20–30.40 26.25 ± 1.85 100</td><td>24.50–32.30 28.45 ± 1.86 100</td></tr><tr><th><i>Denizli-Babadağ</i> (N=6)</th><td>2.93–23.07 10.39 ± 5.99 14</td><td>16–126 52.64 ± 33.30 14</td><td>-</td><td>182.90–272.90 210.67 ± 10.45 120</td><td>226.60–344.90 269.32 ± 43.54 14</td><td>27.70–38.20 31.84 ± 2.55 120</td><td>30.20–35.10 32.42 ± 1.58 120</td><td>29.00–37.30 33.36 ± 2.41 120</td></tr><tr><th><i>İzmir-Bozdağ</i> (N=3)</th><td>4.55–24.76 13.87 ± 5.46 16</td><td>23–128 70.19 ± 29.01 16</td><td>-</td><td>191.70–214.60 199.46 ± 5.96 130</td><td>179.23–405.24 291.43 ± 85.84 16</td><td>29.60–40.50 34.78 ± 2.14 130</td><td>34.90–40.50 37.59 ± 1.45 130</td><td>36.60–46.60 40.09 ± 1.81 130</td></tr><tr><th><i>Antalya-Gömbe-I</i> (N=1)</th><td>8.25–22.24 12.92 ± 5.57 5</td><td>58–152 86.20 ± 38.69 5</td><td>-</td><td>142.40–179.70 157.72 ± 12.09 40</td><td>170.33–389.65 247.51 ± 86.30 5</td><td>23.50–27.60 25.17 ± 1.26 40</td><td>22.50–28.70 24.93 ± 1.27 40</td><td>20.40–25.90 28.70 ± 1.74 40</td></tr><tr><th><i>Antalya-Gömbe-II</i> (N=1)</th><td>6.46–60.95 26.69 ± 17.36 11</td><td>39–353 150.18 ± 96.19 11</td><td>-</td><td>154.20–203.90 173.30 ± 11.02 110</td><td>170.33–443.40 243.55 ± 99.31 11</td><td>22.60–27.50 24.70 ± 1.16 110</td><td>22.90–27.30 25.43 ± 1.17 110</td><td>25.90–32.70 29.71 ± 1.94 110</td></tr><tr><th><i>Antalya-Tahtalıdağ</i> (N=1)</th><td>21.66–111.96 52.49 ± 51.50 3</td><td>135–702 427.57 ± 127.98 3</td><td>-</td><td>146.80–175.60 156.52 ± 4.94 30</td><td>348.00–575.20 427.57 ± 127.99 3</td><td>21.90–26.20 23.92 ± 1.28 30</td><td>19.60–27.10 22.52 ± 2.34 30</td><td>21.50–28.90 25.29 ± 1.51 30</td></tr><tr><th><i>Uşak-Şaphane</i> (N=2)</th><td>5.20–24.22 12.40 ± 7.11 13</td><td>37–180 92.82 ± 54.66 13</td><td>-</td><td>125.60–185.60 142.76 ± 14.79 130</td><td>140.20–276.10 171.20 ± 60.41 5</td><td>22.30–29.20 25.67 ± 1.96 130</td><td>22.90–30.08 26.23 ± 2.38 130</td><td>24.00–35.50 29.28 ± 2.93 130</td></tr><tr><th><i>Kütahya-Civanağa</i> (N=2)</th><td>7.17–23.06 16.39 ± 5.47 8</td><td>56–177 124.00 ± 41.57 8</td><td>-</td><td>130.20–179.30 141.13 ± 9.85 80</td><td>142.10–291.30 124.20 ± 60.01 6</td><td>21.90–28.00 24.51 ± 1.69 80</td><td>23.80–31.10 27.26 ± 1.49 80</td><td>27.20–33.10 30.02 ± 1.43 80</td></tr><tr><th><b>Taxon (Location) Range m ± sd n</b></th><td><b>Song=Phrase Duration (s)</b></td><td><b>Syllables per phrase</b></td><td><b>Syllables Duration (ms)</b></td><td><b>First Low amplitude Syllable Duration (ms)</b></td><td><b>Opening Hemi Syllable Durations (ms)</b></td><td><b>Closing Hemi Syllable Durations (ms)</b></td><td></td><td></td></tr><tr><th><b><i>Anadolua bergeri</i> sp. nov.</b></th></tr><tr><th>Konya, Rezebeli (N=3)</th><td>0.598–0.864 0.710 ± 0.05 18</td><td>17–21 18.46 ± 0.97 18</td><td>28.80–45.20 39.81 ± 2.96 180</td><td>18.10–21.50 19.62 ± 1.16 18</td><td>6.90–17.62 9.81 ± 1.17 180</td><td>19.00–34.60 29.98 ± 2.31 180</td><td></td><td></td></tr><tr><th>Antalya,GündoğmuŞ (N=1)</th><td>0.484–0.556 0.509 ± 0.03 5</td><td>17–21 18.46 ± 0.97 5</td><td>29.10–38.90 35.45 ± 2.41 50</td><td>16.60–19.10 17.88 ± 1.15 5</td><td>7.60–13.00 9.86 ± 1.32 50</td><td>23.00–30.30 26.89 ± 1.58 50</td><td></td><td></td></tr></tbody></table><p>......continued on the next page</p><p>Range (minimum–maximum); m—Mean; sd—Standard deviation; n—Number of the analyzed characters; N=Number of song recorded males.</p>
TABLE 3. Means and standard deviations for 16 morphometric characters measured from males representing 12 in A revision of Anadolua (Orthoptera: Tettigoniidae: Tettigoniinae) based on morphological and bioacoustic characters: Newly confirmed data suggesting a new synonym and two new species
<p><b>TABLE 3</b>. Means and standard deviations for 16 morphometric characters measured from males representing 12 populations belonging to <i>Anadolua</i> genus.</p><table><tbody><tr><th><b>Localities</b></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th><b>Characters</b></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th></tr></tbody><tbody><tr><th></th><td></td><td></td><td></td><td></td><td></td><td></td><td>(m ± sd, except NSF)</td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><th></th><td>TLB</td><td>TL</td><td>TLP</td><td>MIDLC</td><td>MADLC</td><td>LHF</td><td>MWHF</td><td>MWFS</td><td>MLS</td><td>MWS</td><td>MWBE</td><td>MLAT</td><td>MWAT</td><td>MLC</td><td>LCMIT</td><td>NSF</td></tr><tr><th><i>A. schwarzi</i> (Muğla-Sandras) N=4</th><td>26.40 ±0.59</td><td>5.26 ±0.11</td><td>7.09 ±0.09</td><td>1.72 ±0.13</td><td>4.79 ±0.09</td><td>18.90 ±0.67</td><td>4.05 ±0.13</td><td>1.06 ±0.01</td><td>0.99 ±0.04</td><td>0.84 ±0.00</td><td>2.41 ±0.05</td><td>1.44 ±0.11</td><td>1.06 ±0.02</td><td>1.80 ±0.02</td><td>0.64 ±0.03</td><td>66.75 ±3.09</td></tr><tr><th><i>A. schwarzi</i> (Denizli-Babadağ) N=10</th><td>23.47 ±1.46</td><td>5.50 ±0.13</td><td>6.30 ±0.10</td><td>1.60 ±0.12</td><td>4.93 ±0.19</td><td>18.57 ±0.40</td><td>3.87 ±0.16</td><td>1.04 ±0.05</td><td>1.04 ±0.01</td><td>0.91 ±0.06</td><td>2.28 ±0.05</td><td>1.42 ±0.09</td><td>0.88 ±0.04</td><td>1.69 ±0.08</td><td>0.52 ±0.02</td><td>65.00 ±2.71</td></tr><tr><th><i>A. schwarzi</i> (İzmir-Bozdağ) N=5</th><td>20.84 ±0.71</td><td>5.37 ±0.14</td><td>6.84 ±0.18</td><td>1.83 ±0.12</td><td>5.08 ±0.08</td><td>18.50 ±0.38</td><td>3.96 ±0.11</td><td>1.00 ±0.08</td><td>1.10 ±0.05</td><td>0.83 ±0.02</td><td>2.43 ±0.07</td><td>1.40 ±0.12</td><td>0.85 ±0.85</td><td>1.63 ±0.09</td><td>0.65 ±0.07</td><td>65.60 ±3.21</td></tr><tr><th><i>A. schwarzi</i> (Antalya-Gömbe_I) N=3</th><td>22.33 ±1.04</td><td>4.76 ±0.09</td><td>6.18 ±0.13</td><td>1.53 ±0.05</td><td>4.72 ±0.13</td><td>18.60 ±0.96</td><td>3.60 ±0.20</td><td>0.91 ±0.06</td><td>1.00 ±0.05</td><td>0.84 ±0.05</td><td>2.19 ±0.08</td><td>1.34 ±0.07</td><td>0.74 ±0.09</td><td>1.74 ±0.07</td><td>0.54 ±0.04</td><td>70.00 ±3.60</td></tr><tr><th><i>A. schwarzi</i> (Antalya-Gömbe_II) N=4</th><td>20.92 ±1.11</td><td>4.82 ±0.10</td><td>6.34 ±0.09</td><td>1.65 ±0.19</td><td>4.89 ±0.16</td><td>18.62 ±0.29</td><td>3.95 ±0.19</td><td>0.93 ±0.03</td><td>1.01 ±0.05</td><td>0.90 ±0.03</td><td>2.22 ±0.07</td><td>1.35 ±0.03</td><td>0.85 ±0.03</td><td>1.71 ±0.03</td><td>0.48 ±0.01</td><td>67.75 ±4.35</td></tr><tr><th><i>A. schwarzi</i> (Antalya-Tahtalıdağ) N=1</th><td>24.40</td><td>5.14</td><td>6.84</td><td>1.84</td><td>4.84</td><td>18.30</td><td>3.90</td><td>1.06</td><td>0.96</td><td>0.84</td><td>2.37</td><td>1.57</td><td>1.00</td><td>1.92</td><td>0.56</td><td>74.00</td></tr><tr><th><i>A. schwarzi</i> (UŞak-Şaphane) N=6</th><td>19.87 ±1.48</td><td>4.81 ±0.14</td><td>6.26 ±0.24</td><td>1.79 ±0.07</td><td>4.79 ±0.19</td><td>18.83 ±0.40</td><td>3.63 ±0.10</td><td>0.97 ±0.02</td><td>1.14 ±0.06</td><td>0.84 ±0.04</td><td>2.10 ±0.06</td><td>1.41 ±0.12</td><td>0.98 ±0.08</td><td>1.77 ±0.10</td><td>0.59 ±0.04</td><td>64.00 ±3.16</td></tr><tr><th><i>A. schwarzi</i> (Kütahya-Civanağa) N=4</th><td>21.17 ±0.89</td><td>5.35 ±0.14</td><td>6.36 ±0.16</td><td>1.72 ±0.11</td><td>4.94 ±0.10</td><td>18.00 ±0.82</td><td>3.42 ±0.15</td><td>0.96 ±0.02</td><td>1.07 ±0.05</td><td>0.71 ±0.03</td><td>2.17 ±0.09</td><td>1.37 ±0.03</td><td>1.02 ±0.09</td><td>1.65 ±0.05</td><td>0.57 ±0.01</td><td>62.2 ±2.22</td></tr><tr><th><i>A. schwarzi</i> (Denizli Çameli) N=5</th><td>22.32 ±4.16</td><td>5.44 ±0.12</td><td>6.81 ±0.15</td><td>1.63 ±0.03</td><td>5.12 ±0.13</td><td>18.98 ±1.24</td><td>4.00 ±0.19</td><td>0.98 ±0.03</td><td>1.13 ±0.03</td><td>0.79 ±0.03</td><td>2.28 ±0.03</td><td>1.45 ±0.06</td><td>0.88 ±0.04</td><td>1.62 ±0.04</td><td>0.57 ±0.01</td><td>64.00 ±3.67</td></tr><tr><th><i>A. bergeri</i> <b>sp. nov.</b> (Konya-Rezebeli) N=4</th><td>22.62 ±1.11</td><td>5.36 ±0.30</td><td>6.43 ±0.30</td><td>2.20 ±0.09</td><td>4.84 ±0.27</td><td>17.27 ±0.48</td><td>4.00 ±0.09</td><td>1.04 ±0.07</td><td>1.13 ±0.07</td><td>0.89 ±0.10</td><td>2.43 ±0.05</td><td>1.33 ±0.11</td><td>1.44 ±0.05</td><td>2.22 ±0.16</td><td>0.87 ±0.06</td><td>46.00 ±1.82</td></tr><tr><th><i>A. bergeri</i> <b>sp. nov.</b> (Antalya-GündoğmuŞ) N=1</th><td>24.00</td><td>5.32</td><td>6.63</td><td>2.21</td><td>4.89</td><td>16.60</td><td>4.00</td><td>0.95</td><td>1.05</td><td>0.84</td><td>2.58</td><td>1.28</td><td>1.19</td><td>2.31</td><td>0.97</td><td>49.00</td></tr><tr><th><i>A. moli</i> <b>sp. nov.</b> (Konya-Sultandağ) N=5</th><td>21.90 ±1.51</td><td>4.72 ±0.08</td><td>6.28 ±0.09</td><td>1.81 ±0.04</td><td>4.59 ±0.10</td><td>17.80 ±0.45</td><td>3.74 ±0.17</td><td>0.93 ±0.05</td><td>1.12 ±0.06</td><td>0.87 ±0.05</td><td>2.24 ±.06</td><td>1.71 ±0.16</td><td>1.14 ±0.05</td><td>1.33 ±0.11</td><td>0.65 ±0.03</td><td>51.80 ±2.39</td></tr></tbody></table><p>m—Mean; sd—Standard deviation; N—individuals</p>
TABLE 9 in A revision of Anadolua (Orthoptera: Tettigoniidae: Tettigoniinae) based on morphological and bioacoustic characters: Newly confirmed data suggesting a new synonym and two new species
<p><b>TABLE 9</b>. Percentage contributions of bioclimatic variables in different model algorithms.</p><table><tbody><tr><th><b>Bioclimatic variables</b></th><th><b>Code</b></th><th><b>Model’s Percentage contributions based on AUC metric (%)</b></th></tr></tbody><tbody><tr><th></th><td></td><td>GLM</td><td>FD</td><td>MARS</td><td>RF</td><td>MAXENT</td></tr><tr><th>Annual mean temperature</th><td>bio1</td><td>8.9</td><td>7.4</td><td>10.4</td><td>2.1</td><td>0.4</td></tr><tr><th>Isothermality (BIO2/BIO7) (×100)</th><td>bio3</td><td>5.7</td><td>4.2</td><td>9.9</td><td>1.5</td><td>2.6</td></tr><tr><th>Temperature Seasonality (standard deviation ×100)</th><td>bio4</td><td>13.2</td><td>7.1</td><td>30.7</td><td>3.2</td><td>4.1</td></tr><tr><th>Mean Temperature of Wettest Quarter</th><td>bio8</td><td>44</td><td>49</td><td>23.7</td><td>31.8</td><td>50.9</td></tr><tr><th>Precipitation of Driest Month</th><td>bio14</td><td>19.5</td><td>5.3</td><td>18.3</td><td>6.5</td><td>13.9</td></tr><tr><th>Precipitation Seasonality (Coefficient of Variation)</th><td>bio15</td><td>7.7</td><td>15</td><td>27.5</td><td>3.8</td><td>5.3</td></tr></tbody></table>
TABLE 1. 13 bioclimatic variables from the 19 in A revision of Anadolua (Orthoptera: Tettigoniidae: Tettigoniinae) based on morphological and bioacoustic characters: Newly confirmed data suggesting a new synonym and two new species
<p><b>TABLE 1</b>. 13 bioclimatic variables from the 19 input variables have collinearity problem. After excluding the collinear variables, the linear correlation coefficient ranges between min correlation (bio8~bio4). -0.0037, max correlation (bio4~bio14): -0.783.Descriptive statistics for morphological measurements of the both sexes (mean and standard error).</p><table><tbody><tr><th>Variables</th><th>VIF</th></tr></tbody><tbody><tr><th>Bio1</th><td>3.345</td></tr><tr><th>Bio3</th><td>2.703</td></tr><tr><th>Bio4</th><td>5.227</td></tr><tr><th>Bio8</th><td>3.195</td></tr><tr><th>Bio14</th><td>6.855</td></tr><tr><th>Bio15</th><td>2.475</td></tr></tbody></table>
TABLE 5. Means and standard deviations for 15 morphometric characters measured from females representing 10 in A revision of Anadolua (Orthoptera: Tettigoniidae: Tettigoniinae) based on morphological and bioacoustic characters: Newly confirmed data suggesting a new synonym and two new species
<p><b>TABLE 5</b>. Means and standard deviations for 15 morphometric characters measured from females representing 10 populations belonging to <i>Anadolua</i> species.</p><table><tbody><tr><th><b>Characters</b> (mm ± sd)</th></tr></tbody><tbody><tr><th><b>Localities</b></th><td>TLB</td><td>TLP</td><td>MIDLC</td><td>MADLC</td><td>MLHF</td><td>MWHF</td><td>MWFS</td><td>MLS</td><td>MWS</td><td>MWBE</td><td>MLAT</td><td>MWAT</td><td>MLC</td><td>MLO</td><td>MWO</td></tr><tr><th><i>A. schwarzi</i> (Muğla-Sandras) N=3</th><td>25.66 ±1.52</td><td>7.37 ±0.19</td><td>1.96 ±0.08</td><td>5.40 ±0.16</td><td>24.00 ±3.00</td><td>4.33 ±0.15</td><td>1.16 ±0.05</td><td>1.14 ±0.02</td><td>0.89 ±0.05</td><td>2.66 ±0.08</td><td>1.08 ±0.05</td><td>0.27 ±0.02</td><td>1.63 ±0.04</td><td>21.06 ±0.40</td><td>1.90 ±0.10</td></tr><tr><th><i>A. schwarzi</i> (Denizli-Babadağ) N=6</th><td>25.00 ±2.61</td><td>6.96 ±0.25</td><td>2.06 ±0.13</td><td>5.29 ±0.21</td><td>19.83 ±1.25</td><td>4.15 ±0.26</td><td>1.08 ±0.03</td><td>1.30 ±0.09</td><td>0.92 ±0.03</td><td>2.46 ±0.12</td><td>1.15 ±0.07</td><td>0.26 ±0.02</td><td>1.43 ±0.04</td><td>19.80 ±1.58</td><td>1.96 ±0.08</td></tr><tr><th><i>A. schwarzi</i> (İzmir-Bozdağ) N=8</th><td>24.90 ±1.15</td><td>7.89 ±0.31</td><td>2.08 ±0.10</td><td>5.54 ±0.15</td><td>22.00 ±1.00</td><td>4.76 ±0.39</td><td>1.16 ±0.06</td><td>1.13 ±0.09</td><td>0.88 ±0.03</td><td>2.72 ±0.14</td><td>1.06 ±0.07</td><td>0.29 ±0.06</td><td>1.50 ±0.06</td><td>21.81 ±0.55</td><td>2.20 ±0.29</td></tr><tr><th><i>A. schwarzi</i> (Antalya-Gömbe_I) N=2</th><td>23.75 ±0.64</td><td>6.45 ±0.41</td><td>2.00 ±0.07</td><td>5.37 ±0.30</td><td>18.50 ±0.71</td><td>3.90 ±0.00</td><td>1.08 ±0.04</td><td>1.29 ±0.04</td><td>0.84 ±0.07</td><td>2.31 ±0.08</td><td>0.92 ±0.00</td><td>0.32 ±0.01</td><td>1.44 ±0.00</td><td>20.20 ±0.00</td><td>2.00 ±0.00</td></tr><tr><th>A. schwarzi (Antalya-Gömbe_II) N=6</th><td>21.07 ±3.37</td><td>6.28 ±0.41</td><td>1.73 ±0.20</td><td>4.62 ±0.22</td><td>17.67 ±0.42</td><td>3.90 ±0.18</td><td>0.98 ±0.05</td><td>1.09 ±0.04</td><td>0.83 ±0.04</td><td>2.27 ±0.17</td><td>0.94 ±0.06</td><td>0.37 ±0.04</td><td>1.28 ±0.08</td><td>18.41 ±0.58</td><td>2.03 ±0.05</td></tr><tr><th><i>A. schwarzi</i> (UŞak-Şaphane) N=4</th><td>21.70 ±0.57</td><td>6.60 ±0.21</td><td>1.89 ±0.04</td><td>5.14 ±0.20</td><td>20.60 ±0.36</td><td>3.85 ±0.06</td><td>1.06 ±0.03</td><td>1.28 ±0.09</td><td>0.92 ±0.03</td><td>2.43 ±0.03</td><td>1.09 ±0.07</td><td>0.36 ±0.07</td><td>1.22 ±0.03</td><td>22.02 ±0.83</td><td>2.17 ±0.09</td></tr><tr><th><i>A. schwarzi</i> (Kütahya-Civanağa) N=3</th><td>22.33 ±1.15</td><td>6.82 ±0.29</td><td>2.16 ±0.19</td><td>5.04 ±0.28</td><td>18.17 ±0.80</td><td>3.63 ±0.35</td><td>1.05 ±0.00</td><td>1.26 ±0.05</td><td>0.91 ±0.03</td><td>2.45 ±0.03</td><td>0.93 ±0.04</td><td>0.48 ±0.03</td><td>1.28 ±0.05</td><td>19.47 ±0.47</td><td>2.13 ±0.06</td></tr><tr><th><i>A. schwarzi</i> (Denizli Çameli) N=5</th><td>23.04 ±1.51</td><td>7.50 ±0.30</td><td>2.16 ±0.20</td><td>5.61 ±0.11</td><td>21.54 ±0.93</td><td>4.54 ±0.29</td><td>1.09 ±0.03</td><td>1.33 ±0.04</td><td>0.95 ±0.05</td><td>2.62 ±0.09</td><td>1.19 ±0.06</td><td>0.19 ±0.04</td><td>1.40 ±0.02</td><td>22.04 ±1.65</td><td>2.06 ±0.11</td></tr><tr><th><i>A. bergeri</i> <b>sp. nov.</b> (Konya-Rezebeli) N=3</th><td>22.73 ±0.64</td><td>5.80 ±0.16</td><td>1.60 ±0.06</td><td>4.19 ±0.08</td><td>15.97 ±0.15</td><td>3.97 ±0.06</td><td>0.89 ±0.00</td><td>1.09 ±0.03</td><td>0.79 ±0.00</td><td>2.24 ±0.03</td><td>0.80 ±0.04</td><td>0.28 ±0.03</td><td>1.22 ±0.05</td><td>13.97 ±0.15</td><td>1.80 ±0.10</td></tr><tr><th><i>A. moli</i> <b>sp. nov.</b> (Konya-Sultandağ) N=6</th><td>22.25 ±1.17</td><td>6.98 ±0.22</td><td>2.22 ±0.14</td><td>5.22 ±0.16</td><td>20.95 ±0.83</td><td>4.02 ±0.19</td><td>1.10 ±0.06</td><td>1.28 ±0.03</td><td>0.81 ±0.04</td><td>2.49 ±0.07</td><td>1.12 ±0.05</td><td>0.43 ±0.03</td><td>1.45 ±0.07</td><td>21.59 ±1.11</td><td>2.08 ±0.10</td></tr></tbody></table><p>m—Mean; sd—Standard deviation; N—individuals</p>
TABLE 4 in A revision of Anadolua (Orthoptera: Tettigoniidae: Tettigoniinae) based on morphological and bioacoustic characters: Newly confirmed data suggesting a new synonym and two new species
<p><b>TABLE 4</b>. Factors, eigenvalues and cumulative percentages obtained by factor analysis of 16 morphological characters from the males of <i>Anadolua shcwarzi</i> (9 populations), <i>Anadolua moli</i> <b>sp. nov.</b> (1 population), <i>Anadolua bergeri</i> <b>sp. nov.</b> (2 populations).</p><table><tbody><tr><th>Characters</th><th>Factor 1</th><th>Factor 2</th><th>Factor 3</th><th>Factor 4</th><th>Factor 5</th></tr></tbody><tbody><tr><th>LCMIT</th><td>. <b>933</b> a</td><td>.204</td><td>.024</td><td>-.009</td><td>-.050</td></tr><tr><th>MWAT</th><td>. <b>905</b> a</td><td>-.100</td><td>-.072</td><td>.128</td><td>.087</td></tr><tr><th>MIDLC</th><td>. <b>852</b> a</td><td>.157</td><td>-.181</td><td>-.115</td><td>-.072</td></tr><tr><th>NSF</th><td><b>-.818</b> a</td><td>.150</td><td>.217</td><td>.051</td><td>-.098</td></tr><tr><th>MLC</th><td>. <b>754</b> a</td><td>.244</td><td>.450</td><td>.008</td><td>.162</td></tr><tr><th>MLHF</th><td>-.550</td><td>.418</td><td>-.406</td><td>.435</td><td>.124</td></tr><tr><th>TL</th><td>-.004</td><td>. <b>798</b> a</td><td>.074</td><td>-.182</td><td>.039</td></tr><tr><th>MADLC</th><td>.051</td><td>. <b>797</b> a</td><td>.105</td><td>.187</td><td>-.140</td></tr><tr><th>TLP</th><td>-.182</td><td>. <b>714</b> a</td><td>-.282</td><td>-.190</td><td>-.222</td></tr><tr><th>MWHF</th><td>.129</td><td>. <b>617</b> a</td><td>.087</td><td>.088</td><td>.530</td></tr><tr><th>MWBE</th><td>.493</td><td>. <b>607</b> a</td><td>.368</td><td>-.016</td><td>.205</td></tr><tr><th>MWFS</th><td>.101</td><td>.547</td><td>.135</td><td>.330</td><td>.232</td></tr><tr><th>MLS</th><td>.374</td><td>-.007</td><td><b>-.829</b> a</td><td>-.014</td><td>.008</td></tr><tr><th>MLAT</th><td>-.079</td><td>.034</td><td>-.024</td><td>. <b>894</b> a</td><td>-.097</td></tr><tr><th>TLB</th><td>.114</td><td>.353</td><td>.481</td><td>.531</td><td>.114</td></tr><tr><th>MWS</th><td>.004</td><td>-.062</td><td>.004</td><td>-.063</td><td>. <b>944</b> a</td></tr><tr><th>Eigenvalue</th><td>4.623</td><td>3.106</td><td>1.609</td><td>1.244</td><td>1.179</td></tr><tr><th>Cumulative %</th><td>30.823</td><td>51.532</td><td>62.260</td><td>70.553</td><td>78.412</td></tr></tbody></table><p><sup>a</sup> Factor loadings considered to be important to each factor.</p>
Data from: Identifying hidden rate changes in the evolution of a binary morphological character: the evolution of plant habit in Campanulid angiosperms
The growth of phylogenetic trees in scope and in size is promising from the standpoint of understanding a wide variety of evolutionary patterns and processes. With trees comprised of larger, older, and globally distributed clades, it is likely that the lability of a binary character will differ significantly among lineages, which could lead to errors in estimating transition rates and the associated inference of ancestral states. Here we develop and implement a new method for identifying different rates of evolution in a binary character along different branches of a phylogeny. We illustrate this approach by exploring the evolution of growth habit in Campanulidae, a flowering plant clade containing some 35,000 species. The distribution of woody versus herbaceous species calls into question the use of traditional models of binary character evolution. The recognition and accommodation of changes in the rate of growth form evolution in different lineages demonstrates, for the first time, a robust picture of growth form evolution across a very large, very old, and very widespread flowering plant clade.
Data from: Character Analysis in Morphological Phylogenetics: Problems and Solutions
Many aspects of morphological phylogenetics are controversial in the theoretical systematics literature and yet are often poorly explained and justified in empirical studies. In this paper, I argue that most morphological characters describe variation that is fundamentally quantitative, regardless of whether it is coded qualitatively or quantitatively by systematists. Given this view, three fundamental problems in morphological character analysis (character state definition, delimitation, and ordering) may have a common solution: coding morphological characters as continuous quantitative traits. A new parsimony method (step-matrix gap-weighting, a modification of Thiele's approach) is proposed that allows quantitative traits to be analyzed as continuous variables. The problem of scaling or weighting quantitative characters relative to qualitative characters (and to each other) is reviewed, and three possible solutions are described. The new coding method is applied to data from hoplocercid lizards, and the results show the sensitivity of phylogenetic conclusions to different scaling methods. Although some authors reject the use of continuous, overlapping, quantitative characters in phylogenetic analysis, quantitative data from hoplocercid lizards that are coded using the new approach do contain significant phylogenetic structure, and exhibit levels of homoplasy that are similar to those seen in data that are coded qualitatively.
FIGURE 6 in A revision of the Rhododendron taipaoense complex (subg. Tsutsusi sect. Tsutsusi, Ericaceae), based on observations of morphological characters and seed micromorphology
FIGURE 6. Distribution map of Rhodedendron taipaoense T.C. Wu & P.C. Tam.
FIGURE37 in Phylogeny of the boulengeri group (Iguania: Liolaemidae, Liolaemus) based on morphological and molecular characters
FIGURE37: Bootstraping re-sampling of the Total Evidence analysis.
FIGURE 30 in Phylogeny of the boulengeri group (Iguania: Liolaemidae, Liolaemus) based on morphological and molecular characters
FIGURE 30: Pre-reproductive color in males (A) and gravid coloration in females (B)
FIGURE 34 in Phylogeny of the boulengeri group (Iguania: Liolaemidae, Liolaemus) based on morphological and molecular characters
FIGURE 34: Bootstraping re-sampling of morphologic analysis, K=3.
FIGURE 12 in Phylogeny of the boulengeri group (Iguania: Liolaemidae, Liolaemus) based on morphological and molecular characters
FIGURE 12: Epimysium of pterygomandibularis
FIGURE 10 in Phylogeny of the boulengeri group (Iguania: Liolaemidae, Liolaemus) based on morphological and molecular characters
FIGURE 10: Femoral patch (FP) A: Present B: Absent. Th: Thigh.
FIGURE 5 in Phylogeny of the boulengeri group (Iguania: Liolaemidae, Liolaemus) based on morphological and molecular characters
FIGURE 5: Characteristic "femoral patch" of boulengeri group.
FIGURE 4 in Phylogeny of the boulengeri group (Iguania: Liolaemidae, Liolaemus) based on morphological and molecular characters
FIGURE 4: Hypothesis of relationships proposed by Morando (2004) for the genus Liolaemus.
FIGURE 11 in Phylogeny of the boulengeri group (Iguania: Liolaemidae, Liolaemus) based on morphological and molecular characters
FIGURE 11: Internal flexor tibialis muscle. A: hypertrophied; B: Normal
FIGURE 16 in Phylogeny of the boulengeri group (Iguania: Liolaemidae, Liolaemus) based on morphological and molecular characters
FIGURE 16: Gular fold development. A: Absent; B: Incomplete; C: Complete
FIGURE 23 in Phylogeny of the boulengeri group (Iguania: Liolaemidae, Liolaemus) based on morphological and molecular characters
FIGURE 23: Color of body and lateral scales of tail.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.