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Table 2 in Water quality, yield and cost-benefit analysis of rain water ponds of Cuttack district: A comparison between Indian major carp and GIFT Tilapia
<p><b>Table 2:</b> Fish stocking & production data-IMC poly-culture & GIFT Tilapia mono-sex culture in T1 & T2 (2018-19)</p><table><tbody><tr><th><b>Tank Pond Area Stocking Date of No. (ha) (no) Stocking</b></th><th><b>Types of fish Stocking</b></th><th><b>Growth estimate during stocking (August-2018)</b></th><th><b>Growth estimate during final Total FCR harvest (May-June-2020) production (kg)</b></th></tr></tbody><tbody><tr><th></th><td></td><td></td><td></td><td><b>Length in (cm) Weight (g) Length in (cm)</b></td><td><b>Weight (g)</b></td><td><b>Weight in (kg)</b></td><td></td></tr><tr><th>T1</th><td></td><td>4000</td><td></td><td><i>Catla</i></td><td>9-12 18-23</td><td>28.3-39.6</td><td>980-1070</td><td>1682</td><td>1.7</td></tr><tr><td>0.4</td><td>05.09.2020 <i>Rohu</i></td><td>10-12 18-24</td><td>28.0-41.3</td><td>700-750</td><td>880</td></tr><tr><td></td><td></td><td><i>Mrigala</i></td><td>8-11 15-19</td><td>29.4-37.6</td><td>680-720</td><td>821</td></tr><tr><th>T2</th><td>0.4</td><td>6400</td><td>GIFT tilapia 15.09.2020 (<i>O. niloticus</i>)</td><td>6-7 8-9</td><td>28.3-32.1</td><td>1333</td><td>8000</td><td>1.2</td></tr></tbody></table>
Table 3 in Water quality, yield and cost-benefit analysis of rain water ponds of Cuttack district: A comparison between Indian major carp and GIFT Tilapia
<p><b>Table 3:</b> Comparision of operational cost, production and economic profit of IMC polyculture & GIFT mono-sex tilapia culture during 2018-19 at Jodamu village of district Ciuttack, Odisha</p><table><tbody><tr><th><b>Parameters</b></th><th><b>T1-IMC culture (area-.4 ha)</b></th><th><b>T2-GIFT Tilapia culture (area-.4 ha)</b></th></tr></tbody><tbody><tr><th><b>Operational Cost</b></th><td><b>Expenditure Expenditure (Rs/0.4ha/yr) (Rs/ha/yr)</b></td><td><b>Expenditure (Rs/0.4ha/yr)</b></td><td><b>Expenditure (Rs/ha/yr)</b></td></tr><tr><th><b>I. Expenditure</b></th><td></td><td></td><td></td><td></td></tr><tr><th>Watering/de-watering charges</th><td>3,000</td><td>7,500</td><td>3,000</td><td>7,500</td></tr><tr><th>Bleaching Powder 50kg@Rs30/kg</th><td>1,500</td><td>3,750</td><td>1,500</td><td>3,750</td></tr><tr><th>Organic Manure 1000kg@Rs 0.5/kg</th><td>500</td><td>1,250</td><td>500</td><td>1,250</td></tr><tr><th>DAP fertilizer 20kg@ 20/kg</th><td>400</td><td>1,000</td><td>400</td><td>1,000</td></tr><tr><th>Lime-800kg (IMC), 1000kg (GIFT tilapia) @ Rs 10/kg</th><td>8,000</td><td>20,000</td><td>10,000</td><td>25,000</td></tr><tr><th>GNOC-25kg (IMC), 42kg (GIFT tilapia) @ Rs 22/kg</th><td>550</td><td>1325</td><td>924</td><td>2310</td></tr><tr><th>Soyabin 21kg @Rs 30/kg</th><td>630</td><td>1,575</td><td>630</td><td>1,575</td></tr><tr><th>Curd 120 kg @ 40/kg</th><td>4800</td><td>12000</td><td>4800</td><td>12000</td></tr><tr><th>Yeast 5kg @ Rs 200/kg</th><td>1000</td><td>2500</td><td>1000</td><td>2500</td></tr><tr><th>Ricebran 80kg @ Rs 15.5/kg</th><td>1,240</td><td>3,100</td><td>1,240</td><td>3,100</td></tr><tr><th>Joggery-100kg (IMC), 208kg (GIFT tilapia) @ Rs 23/kg</th><td>2,300</td><td>5,750</td><td>4,784</td><td>11,960</td></tr><tr><th>IMC seed4000pc @ Rs 5/pc and GIFT seed cost 6400pc @ Rs 2/pc</th><td>20,000</td><td>50,000</td><td>12,800</td><td>32,000</td></tr><tr><th>IMC-F. Feed 5500kg @ Rs 40/kg and GIFT tilapia F. Feed 9800kg @ Rs 40/kg</th><td>2,20,000</td><td>5.50,000</td><td>3,92,000</td><td>9,80,000</td></tr><tr><th>Transport @ Rs10000/time</th><td>20,000</td><td>50,000</td><td>30,000</td><td>75,000</td></tr><tr><th>Man power for pond preparation, bio-security installation, Management, Feeding, 10,000 netting, watch and ward, marketing etc. @ 200/man day (IMC & GIFT)</th><td>25,000</td><td>30,000</td><td>75,000</td></tr><tr><th>Miscellaneous expenditure (medicine, aeration, transaction and coordination)</th><td>5,000</td><td>12,500</td><td>10,000</td><td>25,000</td></tr><tr><th>Total expenditure</th><td>2,98,920</td><td>7,47,300</td><td>5,03,578</td><td>15,22,070</td></tr><tr><th><b>IMC poly-culture & GIFT mono-sex tilapia Production and economic profit (2018-19)</b></th></tr><tr><th><b>II. Gross Income from GIFT tilapia</b></th><td>0.4 ha/yr</td><td>ha/yr</td><td>0.4 ha/yr</td><td>ha/yr</td></tr><tr><th>Total production (kg/yr)</th><td>3383</td><td>8457.5</td><td>8000</td><td>20000</td></tr><tr><th>IMC & GIFT Cost of fish @ Rs 160 & 140/kg (Rs)</th><td>5,41,280</td><td>13,53,300</td><td>11,20,000</td><td>28,00,000</td></tr><tr><th>Net income from fish (Gross income-expenditure) (Rs)</th><td>2,42,360</td><td>6,05,900</td><td>6,31,172</td><td>15,77,930</td></tr><tr><th>Return on expenditure (%)</th><td>81.07</td><td>0.81</td><td>125.33</td><td>103.67</td></tr><tr><th>Cost benefit ratio (C:B)</th><td>0.810</td><td>0.81</td><td>1.25</td><td>1.25</td></tr></tbody></table>
Table 1 in Water quality, yield and cost-benefit analysis of rain water ponds of Cuttack district: A comparison between Indian major carp and GIFT Tilapia
<p><b>Table 1:</b> Ranges and mean values (± SD) of water parameters in T1 &T2</p><table><tbody><tr><th><b>Parameters</b></th><th><b>T1-IMC poly-culture</b></th><th><b>T2-GIFT tilapia mono-sex</b></th></tr></tbody><tbody><tr><th></th><td><b>Min</b></td><td><b>Max</b></td><td><b>Mean ± SD</b></td><td><b>Min</b></td><td><b>Max</b></td><td><b>Mean ± SD</b></td></tr><tr><th>Temp (°C)</th><td>21.1</td><td>33</td><td>26.3±4.56</td><td>21.2</td><td>34.1</td><td>27.7±6.5</td></tr><tr><th>Transparency (cm)</th><td>24.33</td><td>35.67</td><td>27.71± 0.86</td><td>25.00</td><td>36.00</td><td>29.29± 0.81</td></tr><tr><th>DO (ppm)</th><td>4.3</td><td>7.5</td><td>6.07±1.35</td><td>4.5-</td><td>6.0</td><td>5.3±0.51</td></tr><tr><th>pH</th><td>7.0</td><td>8.4</td><td>7.5±0.55</td><td>6.0</td><td>8.0</td><td>7.5±0.35</td></tr><tr><th>Alkalinity mg/l</th><td>86.7</td><td>114.7</td><td>100.4±12.8</td><td>80.1</td><td>114.0</td><td>98.3±14.2</td></tr><tr><th>Ammonia mg/l</th><td>0.51</td><td>0.61</td><td>0.55±0.05</td><td>0.55</td><td>0.64</td><td>0.58±0.04</td></tr></tbody></table>
Table 2 in Proximate composition and its seasonal variations of the muscle tissue of Channa striata from Krishna river, Andhra Pradesh
<p><b>Table 2:</b> Variations of biochemical composition of muscle. <i>C</i>. <i>striata</i> (males)</p><table><tbody><tr><th><b>Seasons</b></th><th><b>Months Protein 2021-2022</b></th><th><b>Fat</b></th><th><b>Moisture</b></th><th><b>Ash</b></th></tr></tbody><tbody><tr><th>South West Monsoon</th><td>June</td><td>23.7</td><td>5.4</td><td>82.4</td><td>1.79</td></tr><tr><td>July</td><td>23.8</td><td>5.1</td><td>83.1</td><td>1.65</td></tr><tr><td>August</td><td>25.2</td><td>4.5</td><td>84.2</td><td>2.05</td></tr><tr><td>September</td><td>25.1</td><td>4.7</td><td>83.8</td><td>2.14</td></tr><tr><th>Post Monsoon</th><td>October November</td><td>24.2 23.5</td><td>4.9 5.3</td><td>82.9 83.2</td><td>2.1 2.25</td></tr><tr><th>North East Monsoon</th><td>December January February</td><td>22.4 22.3 23.2</td><td>5.5 4.6 4.4</td><td>81.2 81.5 80.5</td><td>1.96 1.85 1.72</td></tr><tr><th>Summer</th><td>March</td><td>22.6</td><td>3.8</td><td>80.4</td><td>1.65</td></tr><tr><td>April</td><td>23.5</td><td>3.6</td><td>81.5</td><td>1.84</td></tr><tr><td>May</td><td>22.5</td><td>4.8</td><td>80.6</td><td>1.89</td></tr><tr><th></th><td>Min.</td><td>22.3</td><td>3.6</td><td>80.4</td><td>1.72</td></tr><tr><th></th><td>Max.</td><td>25.2</td><td>5.5</td><td>84.2</td><td>2.25</td></tr><tr><th></th><td>Avg. 23.5±2.54.71±0.582.10±5.81.90±0.05</td></tr></tbody></table>
Table 3 in The Tuna Handline fishing fleet of Infanta, Pangasinan, Philippines: An assessment
<p><b>Table 3:</b> Primary and secondary gears used in tuna fishing</p><table><tbody><tr><th><b>Variable</b></th><th><b>Number of Users*</b></th><th><b>Percentage (%)</b></th></tr><tr><th><b>Primary Gears</b></th></tr></tbody><tbody><tr><th>Simple Handline (<i>surrate</i>)</th><td>42</td><td>97.67</td></tr><tr><th>Multiple Hook & Line (<i>sibid-sibid</i>)</th><td>41</td><td>95.35</td></tr><tr><th>Troll Line (<i>paguyod</i>)</th><td>7</td><td>16.28</td></tr><tr><th>Longline (<i>kitang</i>)</th><td>31</td><td>72.09</td></tr><tr><th><b>Secondary Gears</b></th><td></td><td>0.00</td></tr><tr><th>Gillnet (<i>sigay, largarete</i>)</th><td>8</td><td>18.60</td></tr><tr><th>Gaff Hook (<i>ganso</i>)</th><td>43</td><td>100.00</td></tr><tr><th>Speargun (<i>pana</i>)</th><td>2</td><td>4.65</td></tr><tr><th>Squid Jigger (<i>saranggat</i>)</th><td>42</td><td>97.67</td></tr><tr><th>Scoop Net (<i>pansayok</i>)</th><td>41</td><td>95.35</td></tr><tr><th>Light Implements (<i>silaw</i>)</th><td>41</td><td>95.35</td></tr></tbody></table><p>* Multiple Responses</p>
Tables 2 in The Tuna Handline fishing fleet of Infanta, Pangasinan, Philippines: An assessment
<p><b>Tables 2:</b> Characteristics of boats engaging in tuna handline fishing</p><table><tbody><tr><th><b>Variable</b></th><th><b>Frequency (n)</b></th><th><b>Percentage (%)</b></th></tr></tbody><tbody><tr><th></th><td><b>Size of Boat (GT)</b></td><td></td></tr><tr><th><b>3.1-6.0</b></th><td>6</td><td>13.95</td></tr><tr><th>6.1-9.0</th><td>3</td><td>6.98</td></tr><tr><th>9.1-12.0</th><td>21</td><td>48.84</td></tr><tr><th>12.1-15.0</th><td>7</td><td>16.28</td></tr><tr><th>15.1-18.0</th><td>5</td><td>18.60</td></tr><tr><th>18.1-20.0</th><td>1</td><td>2.33</td></tr><tr><th><b>Engine Power (metric HP)</b></th></tr><tr><th>10.1 – 50.0</th><td>8</td><td>18.60</td></tr><tr><th>50.1 – 90.0</th><td>6</td><td>13.95</td></tr><tr><th>90.1 – 130.0</th><td>19</td><td>44.19</td></tr><tr><th>130.1 – 170.0</th><td>7</td><td>16.28</td></tr><tr><th>170.1 – 210.0</th><td>2</td><td>4.65</td></tr><tr><th>210.1 – 250.0</th><td>1</td><td>2.33</td></tr><tr><th>250.1 and above</th><td>1</td><td>2.33</td></tr><tr><th></th><td><b>Capacity (kg)</b></td><td></td></tr><tr><th>100 – 1000</th><td>8</td><td>18.60</td></tr></tbody></table>
Table 4 in The Tuna Handline fishing fleet of Infanta, Pangasinan, Philippines: An assessment
<p><b>Table 4:</b> Significant properties of primary gears used in tuna fishing</p><table><tbody><tr><th><b>Type of Gear</b></th><th><b>Properties</b></th><th><b>Image</b></th></tr></tbody><tbody><tr><th></th><td><b>Simple Handline</b></td><td></td></tr><tr><th>Length Size of Main Line Hook Size Type of Hook Bait Type</th><td>Minimum: 50 m; Maximum 400 m Nylon #s 50-150 # 1/0-8/0 “J” type Natural and Artificial Baits</td><td></td></tr><tr><th></th><td><b>Multiple Hook and Line</b></td><td></td></tr><tr><th>Length Size of Main Line No. of Branch Lines Size of Branch Line Hook Size Type of Hook No. of Hooks Bait Type</th><td>Minimum: 35 m; Maximum: 207.6 m Nylon #s 30-70 Minimum: 25; Maximum: 80 Nylon #s 25-50 # 557, 558, 559, 560, 561, 562 and 564 “J” type Minimum: 25; Maximum: 80 Artificial Baits</td><td></td></tr><tr><th></th><td><b>Troll Line</b></td><td></td></tr><tr><th>Length Size of Main Line Hook Size Type of Hook No. of Hooks Bait Type</th><td>Minimum: 15 m; Maximum: 346 m Nylon #s 50-120 # 1/0-5/0 “J” type Minimum: 35; Maximum: 50 Natural and Artificial Baits</td><td></td></tr><tr><th></th><td><b>Long Line</b></td><td></td></tr><tr><th>Length Size of Main Line Size of Branch Line No. of Branch Lines Hook Size Type of Hook No. of Hooks Bait Type</th><td>Minimum: 25 m; Maximum: 173 m Nylon #s 35-120 Nylon #s 30-40 Minimum: 30; Maximum: 80 # 557, 558, 559, 560 and 561 “J” type Minimum: 30; Maximum: 80 Artificial Baits</td><td></td></tr></tbody></table>
Table 2 in Morphometrical characterization of the Atlantic mudskipper species (Periophthalmus barbarus) (Linnaeus, 1766) (Perciformes; Gobiiae) from Abonema in Port Harcourt, Rivers State, Nigeria
<p><b>Table 2:</b> Minimum, maximum, means and standard deviation of Morphometrical measurements.</p><table><tbody><tr><th><b>Character</b></th><th><b>Minimum</b></th><th><b>Maximum Mean</b></th><th><b>Standard deviation</b></th></tr></tbody><tbody><tr><th>SL/TL</th><td>0.39</td><td>0.96</td><td>0.83</td><td>0.05</td></tr><tr><th>HL/TL</th><td>0.13</td><td>0.70</td><td>0.26</td><td>0.06</td></tr><tr><th>HW/HL</th><td>0.17</td><td>1.29</td><td>0.49</td><td>0.13</td></tr><tr><th>HD/HL</th><td>0.20</td><td>1.05</td><td>0.59</td><td>0.12</td></tr><tr><th>SNL/HL</th><td>0.03</td><td>0.65</td><td>0.32</td><td>0.10</td></tr><tr><th>ED/HL</th><td>0.01</td><td>0.50</td><td>0.24</td><td>0.07</td></tr><tr><th>PDL/TL</th><td>0.07</td><td>0.36</td><td>0.29</td><td>0.04</td></tr><tr><th>BD/TL</th><td>0.06</td><td>1.03</td><td>0.14</td><td>0.10</td></tr><tr><th>D1L/TL</th><td>0.03</td><td>0.19</td><td>0.13</td><td>0.04</td></tr><tr><th>D2L/TL</th><td>0.09</td><td>0.23</td><td>0.17</td><td>0.03</td></tr><tr><th>PFL/TL</th><td>0.06</td><td>0.27</td><td>0.17</td><td>0.05</td></tr><tr><th>AFL/TL</th><td>0.01</td><td>0.14</td><td>0.09</td><td>0.02</td></tr><tr><th>CFL/TL</th><td>0.07</td><td>0.24</td><td>0.16</td><td>0.03</td></tr><tr><th>CPL/TL</th><td>0.09</td><td>0.25</td><td>0.17</td><td>0.03</td></tr></tbody></table>
Table 1 in Sodium fluoride induce alterations in glycogen metabolism in freshwater catfish, Clarias batrachus (Linn.)
<p><b>Table 1:</b> Level of glycogen content (mg/g wet tissues) in muscle, liver and testis tissues of <i>C. batrachus</i> after exposure to NaF.</p><table><tbody><tr><th><b>Parameters</b></th><th><b>Exposure Time (Days)</b></th><th><b>Group I (Control)</b></th><th><b>Experimental setup Group II (35 mg F/L)</b></th><th><b>Group III (70mg F/L)</b></th></tr></tbody><tbody><tr><th>Muscle glycogen</th><td>60</td><td>0.87 ± 0.16</td><td>0.72 ± 0.13</td><td>1.72 ±0.14*</td></tr><tr><th>(mg/g wet tissue)</th><td>90</td><td>0.85 ± 0.12</td><td>0.52 ±0.10</td><td>1.85±0.10*</td></tr><tr><th>Liver glycogen</th><td>60</td><td>20.82 ± 1.01</td><td>18.24 ± 0.68</td><td>25.92 ± 0.93*</td></tr><tr><th>(mg/g wet tissue)</th><td>90</td><td>20.95 ±1.02</td><td>18.12 ± 1.20</td><td>28.02 ±1.10*</td></tr><tr><th>Testis glycogen</th><td>60</td><td>9.12 ± 0.85</td><td>6.02 ± 0.83*</td><td>5.60± 0.62*</td></tr><tr><th>(mg/g wet tissue)</th><td>90</td><td>9.25 ± 0.70</td><td>4.85 ± 0.52*</td><td>3.02± 0.54**</td></tr></tbody></table><p>(Values are mean ± SE, n= 6, Compared with control * <i>P<</i>0.01, ** <i>P<</i>0.001)</p>
Table 3 in Morphometrical characterization of the Atlantic mudskipper species (Periophthalmus barbarus) (Linnaeus, 1766) (Perciformes; Gobiiae) from Abonema in Port Harcourt, Rivers State, Nigeria
<p><b>Table 3:</b> The linear measurements, Eigenvalue and the percentage variance.</p><table><tbody><tr><th><b>PC</b></th><th><b>Eigenvalue</b></th><th><b>% variance</b></th></tr></tbody><tbody><tr><th>1</th><td>0.0402861</td><td>55.892</td></tr><tr><th>2</th><td>0.00907681</td><td>12.593</td></tr><tr><th>3</th><td>0.00525164</td><td>7.286</td></tr><tr><th>4</th><td>0.0044251</td><td>6.1393</td></tr><tr><th>5</th><td>0.00371241</td><td>5.1505</td></tr><tr><th>6</th><td>0.00292212</td><td>4.0541</td></tr><tr><th>7</th><td>0.00193359</td><td>2.6826</td></tr><tr><th>8</th><td>0.000979485</td><td>1.3589</td></tr><tr><th>9</th><td>0.000803069</td><td>1.1142</td></tr><tr><th>10</th><td>0.000724781</td><td>1.0055</td></tr><tr><th>11</th><td>0.000611192</td><td>0.84796</td></tr><tr><th>12</th><td>0.000581671</td><td>0.807</td></tr><tr><th>13</th><td>0.000536577</td><td>0.74444</td></tr><tr><th>14</th><td>0.000233605</td><td>0.3241</td></tr></tbody></table>
Table 1 in Morphometrical characterization of the Atlantic mudskipper species (Periophthalmus barbarus) (Linnaeus, 1766) (Perciformes; Gobiiae) from Abonema in Port Harcourt, Rivers State, Nigeria
<p><b>Table 1:</b> Range (cm), mean and standard deviation of morphometric characters of <i>Periophthalmus barbarus</i> (n=100).</p><table><tbody><tr><th><b>Character</b></th><th><b>Minimum Maximum (cm) (cm)</b></th><th><b>Mean (cm)</b></th><th><b>Standard deviation</b></th></tr></tbody><tbody><tr><th>TL</th><td>9.28</td><td>14.86</td><td>11.41</td><td>1.15</td></tr><tr><th>SL</th><td>3.9</td><td>12.19</td><td>9.48</td><td>1.11</td></tr><tr><th>HL</th><td>1.47</td><td>7.5</td><td>3.01</td><td>0.69</td></tr><tr><th>HW</th><td>0.39</td><td>2.29</td><td>1.43</td><td>0.31</td></tr><tr><th>HD</th><td>0.91</td><td>2.66</td><td>1.74</td><td>0.34</td></tr><tr><th>SNL</th><td>0.1</td><td>1.9</td><td>0.95</td><td>0.31</td></tr><tr><th>PDL</th><td>0.71</td><td>4.64</td><td>3.29</td><td>0.53</td></tr><tr><th>ED</th><td>0.03</td><td>1.42</td><td>0.71</td><td>0.24</td></tr><tr><th>BD</th><td>0.57</td><td>11.58</td><td>1.59</td><td>1.13</td></tr><tr><th>D1L</th><td>0.36</td><td>2.8</td><td>1.46</td><td>0.50</td></tr><tr><th>D2L</th><td>1.08</td><td>3.13</td><td>1.90</td><td>0.38</td></tr><tr><th>PFL</th><td>0.57</td><td>3.35</td><td>1.96</td><td>0.68</td></tr><tr><th>AFL</th><td>0.13</td><td>1.83</td><td>1.03</td><td>0.25</td></tr><tr><th>CFL</th><td>0.7</td><td>3.1</td><td>1.80</td><td>0.45</td></tr><tr><th>CPL</th><td>0.84</td><td>2.83</td><td>1.95</td><td>0.41</td></tr></tbody></table>
Table 1 in The Tuna Handline fishing fleet of Infanta, Pangasinan, Philippines: An assessment
<p><b>Table 1:</b> Socio-economic profile of boat captains</p><table><tbody><tr><th><b>Variable</b></th><th><b>Frequency (n)</b></th><th><b>Percentage (%)</b></th></tr></tbody><tbody><tr><th></th><td><b>Age</b></td><td></td></tr><tr><th>30-35</th><td>7</td><td>16.28</td></tr><tr><th>36-41</th><td>14</td><td>32.56</td></tr><tr><th>42-47</th><td>7</td><td>16.28</td></tr><tr><th>48-53</th><td>9</td><td>20.93</td></tr><tr><th>54-59</th><td>3</td><td>6.98</td></tr><tr><th>60-65</th><td>3</td><td>6.98</td></tr><tr><th></th><td><b>Marital Status</b></td><td></td></tr><tr><th>Single</th><td>6</td><td>13.95</td></tr><tr><th>Married</th><td>32</td><td>74.42</td></tr><tr><th>Others</th><td>5</td><td>11.63</td></tr><tr><th>Educational Attainment</th></tr><tr><th>Elementary Undergraduate</th><td>4</td><td>9.30</td></tr><tr><th>Elementary Graduate</th><td>3</td><td>6.98</td></tr><tr><th>High School Undergraduate</th><td>9</td><td>20.93</td></tr><tr><th>High School Graduate</th><td>20</td><td>46.51</td></tr><tr><th>College Undergraduate</th><td>4</td><td>9.30</td></tr><tr><th>College Graduate</th><td>1</td><td>2.33</td></tr><tr><th>Vocational</th><td>2</td><td>4.65</td></tr><tr><th><b>No. of Household Members</b></th></tr><tr><th>2-3</th><td>5</td><td>11.63</td></tr><tr><th>4-5</th><td>25</td><td>58.14</td></tr><tr><th>6-7</th><td>8</td><td>18.60</td></tr><tr><th>8 and above</th><td>2</td><td>4.66</td></tr><tr><th>Not Indicated</th><td>3</td><td>6.98</td></tr><tr><th><b>Membership in Fishing Organization</b></th></tr><tr><th>Member</th><td>29</td><td>67.44</td></tr><tr><th>Non-Member</th><td>11</td><td>25.58</td></tr><tr><th>Not Indicated</th><td>3</td><td>6.98</td></tr><tr><th><b>Length of Experience in Fishing</b></th></tr><tr><th>9-16</th><td>5</td><td>11.63</td></tr><tr><th>17-24</th><td>5</td><td>11.63</td></tr><tr><th>25-32</th><td>13</td><td>30.23</td></tr><tr><th>33-40</th><td>16</td><td>37.21</td></tr><tr><th>41-48</th><td>3</td><td>6.98</td></tr><tr><th>49 above</th><td>1</td><td>2.33</td></tr><tr><th><b>Average Monthly Income</b></th></tr><tr><th>1, 100 – 8, 000</th><td>19</td><td>44.19</td></tr><tr><th>8, 100 – 15, 000</th><td>14</td><td>32.90</td></tr><tr><th>15, 100 – 22, 000</th><td>6</td><td>13.95</td></tr><tr><th>22, 100 and above</th><td>4</td><td>9.30</td></tr><tr><th><b>With other occupation?</b></th><td></td></tr><tr><th>Yes</th><td>3</td><td>6.98</td></tr><tr><th>No</th><td>40</td><td>93.03</td></tr></tbody></table>
Dataset from TableLabler: Scalable Labeling of Data Tables with Language Models for Tabular Dataset Creation [Scalable Data Science]
<p>TableLabler: Scalable Labeling of Data Tables with Language Models for Tabular Dataset Creation [Scalable Data Science]</p> <p>Pre-publicatoin upload for VLDB review.</p> <p>Code is at https://github.com/RelationalAI/annotated-tables/. The Github repository name is from a previous draft version and cannot be changed. It is code for TableLabler.</p>
Summary table outlining key features of different OA business model classifications
<p>A summary table created as a quick reference for the paper published at https://doi.org/10.1629/uksg.667</p>
TABLE 2 in Seeking for gaps in taxonomic descriptions of endemic fishes: a pathway to challenge the Linnean shortfall in a Neotropical basin
<p><b>TABLE 2 |</b> Statistics of the multiple linear regression between the year of description of endemic fish species and altitude and fish body size (Cross-species analysis). P values in bold indicate significant results (p <0.05). SE = Standard error.</p><table><tbody><tr><th></th><th><b>Estimate</b></th><th><b>SE</b></th><th><b>t value</b></th><th><b>p value</b></th></tr></tbody><tbody><tr><th><b>Intercept</b></th><td>1991.44</td><td>2.378</td><td>837,28</td><td><0.001</td></tr><tr><th><b>Altitude</b></th><td>8.03</td><td>2.445</td><td>3.28</td><td><b>0.001</b></td></tr><tr><th><b>Fish body size</b></th><td>-11.05</td><td>2.445</td><td>-4.52</td><td><0.001</td></tr></tbody></table>
Table 2 in The Complete Mitochondrial Genome of Glischropus bucephalus (Vespertilionidae; Chiroptera) Provides New Evidence for Pipistrellus Paraphyly
<p><b>Table 2.</b> GenBank accession numbers for mitochondrion and <i>cytb</i> sequences used in analysis.</p><table><tbody><tr><th>Species</th><th>Mitochondrion</th><th>cytb</th></tr></tbody><tbody><tr><th><i>Glischropus aquilus</i></th><td></td><td>KR612333.1</td></tr><tr><th><i>G. bucephalus</i></th><td>OR667258</td><td>KR612331.1, KR612332.1, OR667259, OR667260, OR667261</td></tr><tr><th><i>G. tylopus</i></th><td></td><td>JX570898.1, EU521632.1, OR667262, OR667263</td></tr><tr><th><i>“</i> <i>Pipistrellus coromandra”</i></th><td>NC_029191.1</td><td>NC_029191.1</td></tr><tr><th><i>Nyctalus aviator</i></th><td>NC_060309.1</td><td>NC_060309.1, MK167360.1</td></tr><tr><th><i>N. labiata</i></th><td>NC_027237.1, NC_041160.1</td><td>NC_027237.1, NC_041160.1, KX467596.1</td></tr><tr><th><i>N. lasiopterus</i></th><td></td><td>DQ120867.1, EU360680.1, JX570900.1</td></tr><tr><th><i>N. leisleri</i></th><td></td><td>DQ120877.1, JX570901.1, EU360690.1</td></tr><tr><th><i>N. noctula</i></th><td>MN122876.1, MN122907.1</td><td>MN122907.1, MN122876.1, DQ120872.1</td></tr><tr><th><i>Pipistrellus abramus</i></th><td>KX355640.1, NC_005436.1</td><td>GQ332529.1, KX355640.1, NC_005436.1</td></tr><tr><th><i>P. deserti</i></th><td></td><td>KM252759.1</td></tr><tr><th><i>P. coromandra</i></th><td></td><td>OR667264, OR667265, OR667266, OR667267</td></tr><tr><th><i>P. dhofarensis</i></th><td></td><td>KX375145.1, KX375148.1</td></tr><tr><th><i>P. hesperidus</i></th><td></td><td>MN790830.1, MT778037.1, MN790820.1</td></tr><tr><th><i>P. javanicus</i></th><td></td><td>KX496357.1</td></tr><tr><th><i>P. kuhlii</i></th><td>KU058655.1</td><td>KU058655.1, DQ120845.1, EU360657.1</td></tr><tr><th><i>P. maderensis</i></th><td></td><td>KC520771.1, KC520774.1, MT374272.1</td></tr><tr><th><i>P. nanulus</i></th><td></td><td>MK188530.1</td></tr><tr><th><i>P. nathusii</i></th><td>MN122914.1</td><td>MN122914.1, AJ504446.1, DQ120849.1</td></tr><tr><th><i>P. paterculus</i></th><td></td><td>OR667268, OR667269, OR667270</td></tr><tr><th><i>P. pipistrellus</i></th><td>LR862378.1</td><td>KF874520.1, DQ120853.1, LR862378.1</td></tr><tr><th><i>P. pygmaeus</i></th><td>MN122927.1, OX465325.1</td><td>MN122927.1, OX465325.1, EU084882.1</td></tr><tr><th><i>P. raceyi</i></th><td></td><td>KM886094.1, KM886088.1</td></tr><tr><th><i>P. rusticus</i></th><td></td><td>KX375166.1, KX375167.1</td></tr><tr><th><i>P. stenopterus</i></th><td></td><td>MH540194.1</td></tr><tr><th><i>Plecotus auritus</i></th><td>MN122881.1, MT410875.1</td><td></td></tr><tr><th><i>P. macrobullaris</i></th><td>KR134372.1, KR134385.1</td><td></td></tr><tr><th><i>Hypsugo alaschanicus</i></th><td>MF459671.1, MK135784.1, NC_029939.1</td><td></td></tr><tr><th><i>Lasionycteris noctivagans</i></th><td>MT774150.1, MT774151.1, NC_050995.1</td><td></td></tr><tr><th><i>Chalinolobus tuberculatus</i></th><td>NC 002626.1</td><td></td></tr><tr><th><i>Eptesicus bottae</i></th><td>NC_070014.1, OP328299.1, OP328300.1</td><td></td></tr><tr><th><i>E. nilssonii</i></th><td>OX621305.1</td><td></td></tr><tr><th><i>Vespertilio murinus</i></th><td>NC_033347.1</td><td>NC_033347.1</td></tr><tr><th><i>V. sinensis</i></th><td>KJ081440.1, KM092493.1.</td><td>KJ081440.1, KM092493.1.</td></tr><tr><th><i>Myotis brandtii</i></th><td>NC_025308.1</td><td></td></tr><tr><th><i>M. horsfieldii</i></th><td>MF143494.1</td><td></td></tr><tr><th><i>M. muricola</i></th><td>KT213444.1</td><td></td></tr></tbody></table>
Table 1 in Colossoma macropomum (Characiformes: Serrasalmidae) adapted to new climate regime: differential gene expression from farmed tambaqui juveniles raised in subtropical and tropical regions
<p><b>Table 1:</b> Details of target genes (<i>hif-1α</i>, <i>hsp70</i>, <i>ras</i>, <i>mstn</i>, <i>acly</i>, <i>per-1</i>, <i>cry-1</i>, <i>ube3a</i> and <i>ogt</i>) and reference genes (<i>β- tubulin</i> and <i>β- actin</i>) primers.</p><table><tbody><tr><th><b>Gene</b></th><th><b>Length (bp)</b></th><th><b>R</b> <b>2</b></th><th><b>Efficiency (%)</b></th><th><b>Primers sequence (5ʹ-3ʹ) forward/reverse</b></th></tr></tbody><tbody><tr><th><i>tubulin</i> -F</th><td>20</td><td>0.99</td><td>109.5</td><td>GACGTGGTGCCCAAAGATGT</td></tr><tr><th><i>tubulin</i> -R</th><td>18</td><td>TGGATGGTGCGCTTGGT</td></tr><tr><th><i>β- actin</i> -F</th><td>21</td><td>0.99</td><td>100.5</td><td>GCTGTTTTCCCCTCCATTGTT</td></tr><tr><th><i>β- actin</i> -R</th><td>19</td><td>TCCCATGCCAACCATCACT</td></tr><tr><th><i>hif-1α</i> -F</th><td>20</td><td>0.99</td><td>105.2</td><td>CTTCTGAGCTCTGATGAGGC</td></tr><tr><th><i>hif-1α</i> -R</th><td>20</td><td>GAAAGCACCATCAGGAAGCC</td></tr><tr><th><i>hsp-70</i> -F</th><td>20</td><td>0.99</td><td>100.9</td><td>GCAAGGAGAACAAGATCACC</td></tr><tr><th><i>hsp-70</i> -R</th><td>19</td><td>CACTCCGTTGCACTTGTCC</td></tr><tr><th><i>mstn</i> -F</th><td>20</td><td>0.98</td><td>100.5</td><td>AATCCAAGCGAGGGAAAAGC</td></tr><tr><th><i>mstn</i> -R</th><td>22</td><td>CCTCCATCACCTGAAAGGTCTT</td></tr><tr><th><i>ras</i> -F</th><td>20</td><td>0.97</td><td>99.31</td><td>CCAGTACATGAGGACAGGAG</td></tr><tr><th><i>ras</i> -R</th><td>20</td><td>CAAGCACCATTGGCACATCG</td></tr><tr><th><i>acly</i> -F</th><td>19</td><td>0.99</td><td>100.7</td><td>ATCATCTCCCGCACTACAG</td></tr><tr><th><i>acly</i> -R</th><td>19</td><td>TACCTCCAATCTCTCCCAG</td></tr><tr><th><i>ube3a</i> -F</th><td>21</td><td>0.98</td><td>103.3</td><td>GCCATAAGCAAGCAGCACAAC</td></tr><tr><th><i>ube3a</i> -R</th><td>19</td><td>CCAGTCAGTCCGCACATCG</td></tr><tr><th><i>per-1</i> -F</th><td>20</td><td>0.98</td><td>104.1</td><td>TGTTGAAGTTTGTGCCCCAG</td></tr><tr><th><i>per-1</i> -R</th><td>18</td><td>CAGTCCAGATGCTCCTCC</td></tr><tr><th><i>cry-1</i> -F</th><td>19</td><td>0.99</td><td>103.6</td><td>GTCCAACAGCCCTCAAACT</td></tr><tr><th><i>cry-1</i> -R</th><td>18</td><td>TACGCCAAGCACTCCAGA</td></tr><tr><th><i>ogt</i> -F</th><td>19</td><td>0.99</td><td>104.1</td><td>CCTCCCTTTGCTGTGTTCC</td></tr><tr><th><i>ogt</i> -R</th><td>20</td><td>TGTCTGCTTTCCGCTTTCGC</td></tr></tbody></table>
Table 1 in A new species of bristletails of the genus Coryphophthalmus Verhoeff, 1910 (Microcoryphia: Machilidae) from Krasnodar Region, Russia
<p>Table 1. Ratios of length to width of main leg segments of <i>Coryphophthalmus aureaocellus</i> <b>sp. n.</b> ТабΛица 1. Отношения ΑΛины к ширине сегментов ног <i>Coryphophthalmus aureaocellus</i> sp. n.</p><table><tbody><tr><th></th><th>Sex, pair of legs ПоΛ, пара ног</th></tr></tbody><tbody><tr><th>Segments Сегменты</th><td></td><td>male / самец</td><td></td><td></td><td>female / самка</td><td></td></tr><tr><td>fore переΑняя</td><td>middle среΑняя</td><td>hind заΑняя</td><td>fore переΑняя</td><td>middle среΑняя</td><td>hind заΑняя</td></tr><tr><th>Tarsa / Αапка</th><td>4.81</td><td>5.04</td><td>6.08</td><td>5</td><td>4.52</td><td>5.62</td></tr><tr><th>Tibia / ГоΛень</th><td>2.32</td><td>2.52</td><td>3.63</td><td>2.37</td><td>2.20</td><td>3.08</td></tr><tr><th>Femur / БеΑро</th><td>2.24</td><td>2.51</td><td>2.86</td><td>2.21</td><td>2.66</td><td>2.68</td></tr></tbody></table>
Table 3 in The Complete Mitochondrial Genome of Glischropus bucephalus (Vespertilionidae; Chiroptera) Provides New Evidence for Pipistrellus Paraphyly
<p><b>Table 3.</b> Gene organization and characterization of the <i>G. bucephalus</i> mitogenome.</p><table><tbody><tr><th></th><th><b>Start Position</b></th><th><b>Stop Position</b></th><th><b>Length (bp)</b></th><th><b>Anticodon</b></th><th><b>Start Codon</b></th><th><b>Stop Codon</b></th><th><b>Strand</b></th></tr></tbody><tbody><tr><th>tRNAPhe</th><td>1</td><td>73</td><td>73</td><td>GAA</td><td></td><td></td><td>+</td></tr><tr><th>12S rRNA</th><td>74</td><td>1010</td><td>937</td><td></td><td></td><td></td><td>+</td></tr><tr><th>tRNAVal</th><td>1011</td><td>1078</td><td>68</td><td>TAC</td><td></td><td></td><td>+</td></tr><tr><th>16S rRNA</th><td>1079</td><td>2644</td><td>1566</td><td></td><td></td><td></td><td>+</td></tr><tr><th>tRNALeu</th><td>2650</td><td>2725</td><td>76</td><td>TAA</td><td></td><td></td><td>+</td></tr><tr><th>Nd1</th><td>2731</td><td>3684</td><td>954</td><td></td><td>ATG</td><td>TA-</td><td>+</td></tr><tr><th>tRNAIle</th><td>3687</td><td>3755</td><td>69</td><td>GAT</td><td></td><td></td><td>+</td></tr><tr><th>tRNAGln</th><td>3753</td><td>3827</td><td>75</td><td>TTG</td><td></td><td></td><td>-</td></tr><tr><th>tRNAMet</th><td>3828</td><td>3896</td><td>69</td><td>CAT</td><td></td><td></td><td>+</td></tr><tr><th>Nd2</th><td>3897</td><td>4937</td><td>1041</td><td></td><td>ATT</td><td>T-</td><td>+</td></tr><tr><th>tRNATrp</th><td>4939</td><td>5005</td><td>67</td><td>TCA</td><td></td><td></td><td>+</td></tr><tr><th>tRNAAla</th><td>5013</td><td>5081</td><td>69</td><td>TGC</td><td></td><td></td><td>-</td></tr><tr><th>tRNAAsn</th><td>5082</td><td>5154</td><td>73</td><td>GTT</td><td></td><td></td><td>-</td></tr><tr><th>OR</th><td>5155</td><td>5189</td><td>35</td><td></td><td></td><td></td><td></td></tr><tr><th>tRNACys</th><td>5187</td><td>5252</td><td>66</td><td>GCA</td><td></td><td></td><td>-</td></tr><tr><th>tRNATyr</th><td>5253</td><td>5319</td><td>67</td><td>GTA</td><td></td><td></td><td>-</td></tr><tr><th>Cox1</th><td>5321</td><td>6862</td><td>1542</td><td></td><td>ATG</td><td>TAA</td><td>+</td></tr><tr><th>tRNASer</th><td>6869</td><td>6937</td><td>69</td><td>TGA</td><td></td><td></td><td>-</td></tr><tr><th>tRNAAsp</th><td>6945</td><td>7011</td><td>67</td><td>GTC</td><td></td><td></td><td>+</td></tr><tr><th>Cox2</th><td>7012</td><td>7692</td><td>681</td><td></td><td>ATG</td><td>TAA</td><td>+</td></tr><tr><th>tRNALys</th><td>7699</td><td>7765</td><td>67</td><td>TTT</td><td></td><td></td><td>+</td></tr><tr><th>ATP8</th><td>7767</td><td>7967</td><td>201</td><td></td><td>ATG</td><td>TAA</td><td>+</td></tr><tr><th>ATP6</th><td>7928</td><td>8605</td><td>678</td><td></td><td>ATG</td><td>TAA</td><td>+</td></tr><tr><th>Cox3</th><td>8608</td><td>9390</td><td>783</td><td></td><td>ATG</td><td>TA-</td><td>+</td></tr><tr><th>tRNAGly</th><td>9392</td><td>9460</td><td>69</td><td>TCC</td><td></td><td></td><td>+</td></tr><tr><th>Nd3</th><td>9461</td><td>9805</td><td>345</td><td></td><td>ATT</td><td>TA-</td><td>+</td></tr><tr><th>tRNAArg</th><td>9809</td><td>9878</td><td>70</td><td>TCG</td><td></td><td></td><td>+</td></tr><tr><th>Nd4L</th><td>9880</td><td>10,173</td><td>294</td><td></td><td>ATG</td><td>TAA</td><td>+</td></tr><tr><th>Nd4</th><td>10,170</td><td>11,546</td><td>1377</td><td></td><td>ATG</td><td>T-</td><td>+</td></tr><tr><th>tRNAHis</th><td>11,548</td><td>11,616</td><td>69</td><td>GTG</td><td></td><td></td><td>+</td></tr><tr><th>tRNASer</th><td>11,617</td><td>11,675</td><td>59</td><td>GCT</td><td></td><td></td><td>+</td></tr><tr><th>tRNALeu</th><td>11,676</td><td>11,745</td><td>70</td><td>TAG</td><td></td><td></td><td>+</td></tr><tr><th>Nd5</th><td>11,764</td><td>13,552</td><td>1789</td><td></td><td>ATA</td><td>TAA</td><td>+</td></tr><tr><th>Nd6</th><td>13,544</td><td>14,062</td><td>519</td><td></td><td>ATG</td><td>TAA</td><td>-</td></tr><tr><th>tRNAGlu</th><td>14,066</td><td>14,133</td><td>68</td><td>TTC</td><td></td><td></td><td>-</td></tr><tr><th>CytB</th><td>14,139</td><td>15,275</td><td>1137</td><td></td><td>ATG</td><td>AGA</td><td>+</td></tr><tr><th>tRNAThr</th><td>15,279</td><td>15,348</td><td>70</td><td>TGT</td><td></td><td></td><td>+</td></tr><tr><th>tRNAPro</th><td>15,348</td><td>15,416</td><td>69</td><td>TGG</td><td></td><td></td><td>-</td></tr><tr><th>D-loop</th><td>15,416</td><td>17,023</td><td>1608</td><td></td><td></td><td></td><td></td></tr></tbody></table>
Table 3 in A new species of bristletails of the genus Coryphophthalmus Verhoeff, 1910 (Microcoryphia: Machilidae) from Krasnodar Region, Russia
<p>Table 3. Posterior angle of urosternites and distribution of sublateral spines on urotergites and on urosternites of <i>Coryphophtaalmus aureaocellus</i> <b>sp. n.</b> ТабΛица 3. ЗаΑний угоΛ стернитов и распреΑеΛение субΛатераΛьных игΛ на тергитах и кокситах брюшка <i>Coryphophtaalmus aureaocellus</i> sp. n.</p><table><tbody><tr><th>Urites / Сегменты брюшка</th><th>Posterior angle of urosternite, degrees ЗаΑний угоΛ стернита, граΑусы</th><th>Number of sublateral spines on urites КоΛичество субΛатераΛьных игΛ на сегментах брюшка urocoxites urotergites кокситы брюшка тергиты брюшка</th></tr><tr><th>male / самец</th><th>female / самка</th><th>male / самец</th><th>female / самка</th><th>male / самец female / самка</th></tr></tbody><tbody><tr><th>I</th><td>–</td><td>–</td><td>0</td><td>0</td><td>0 0</td></tr><tr><th>II</th><td>76</td><td>82</td><td>0</td><td>0</td><td>0 0</td></tr><tr><th>III</th><td>76</td><td>82</td><td>0</td><td>0</td><td>0 0</td></tr><tr><th>IV</th><td>78</td><td>80</td><td>0</td><td>0</td><td>0 0</td></tr><tr><th>V</th><td>76</td><td>78</td><td>0</td><td>0</td><td>1 + 1 1 + 1</td></tr><tr><th>VI</th><td>72</td><td>78</td><td>0–1 + 0–1</td><td>0</td><td>3–4 + 3–4 1 + 1</td></tr><tr><th>VII</th><td>84</td><td>83</td><td>4 + 4</td><td>2–3 + 2–3</td><td>5 + 5 2 + 2</td></tr><tr><th>VIII</th><td>96</td><td>–</td><td>5–6 + 5–6</td><td>5 + 5</td><td>6 + 6 5 + 5</td></tr><tr><th>IX</th><td>–</td><td>–</td><td>2/8 + 9/3*</td><td>2/5 + 8/1</td><td>5 + 5 4 + 4</td></tr><tr><th>X</th><td>–</td><td>–</td><td>–</td><td>–</td><td>4 + 4 4 + 4</td></tr></tbody></table><p><b>Note.</b> * – outer/inner spines.</p><p><b>Примечание.</b> * – наружные/внутренние шипики.</p>
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