Skip to main content
Powered by ShareScore

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.

3,101

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

3,101 results for “tables”

Learn how ShareScore rates datasets ↗
zenodo36/100

Table 1 in Acoustic monitoring reveals the times and tides of harbor porpoise (Phocoena phocoena) distribution off central Oregon, U. S. A.

<p><i>Table 1.</i> Details of digital acoustic monitoring (DMON) deployment sites and recording times over the duration of the study.</p><table><tbody><tr><th>Site</th><th>Coordinates</th><th>Deployment date</th><th>Recovery date</th><th>Deployment duration (time)</th><th>Recorded minutes</th></tr></tbody><tbody><tr><th>Reef Offshore</th><td>44 Ǫ 35.140 N, 124 Ǫ 07.120 W 44 Ǫ 35.121 N, 124 Ǫ 07.000 W 44 Ǫ 34.985 N, 124 Ǫ 07.117 W 44 Ǫ 35.247 N, 124 Ǫ 06.815 W 44 Ǫ 35.221 N, 124 Ǫ 06.859 W 44 Ǫ 34.650 N, 124 Ǫ 13.218 W 44 Ǫ 34.857 N, 124 Ǫ 13.419 W 44 Ǫ 34.929 N, 124 Ǫ 13.215 W 44 Ǫ 34.929 N, 124 Ǫ 13.215 W 44 Ǫ 34.929 N, 124 Ǫ 13.215 W</td><td>16 May 2014 12 Jun 2014 26 Jun 2014 29 Jul 2014 16 Sep 2014 12 Jun 2014 26 Jun 2014 29 Jul 2014 16 Sep 2014 20 Sep 2014</td><td>23 May 2014 20 Jun 2014 7 Jul 2014 8 Aug 2014 18 Sep 2014 20 Jun 2014 7 Jul 2014 8 Aug 2014 29 Sep 2014 13 Oct 2014</td><td>6 d 20 h 00 min 7 d 21 h 30 min 10 d 14 h 40 min 9 d 21 h 40 min 2 d 13 h 20 min 7 d 21 h 40 min 10 d 23 h 10 min 10 d 0 h 30 min 12 d 17 h 40 min 12 d 12 h 00 min</td><td>985 1,138 1,529 1,427 441 1,138 1,580 1,444 1,835 1,801</td></tr></tbody></table>

opencc-by-4.0Oct 2018View details →
zenodo36/100

Table 6 in Harbor seal pup dispersal and individual morphology, hematology, and contaminant factors affecting survival

<p><i>Table 6.</i> Model selection of apparent survival probability (Phi) for model set 4: blood variables.</p><table><tbody><tr><th></th><th></th><th></th><th>QAICc</th><th>Model</th><th>No.</th><th></th></tr></tbody><tbody><tr><th>Model</th><td>QAICc</td><td>&Delta;QAICc</td><td>weights</td><td>likelihood</td><td>parameters</td><td>Deviance</td></tr><tr><th><b>{<i>&Phi;</i> (<i>g</i> + T4)}</b></th><td><b>217.45</b></td><td><b>0.000</b></td><td><b>0.481</b></td><td><b>1.000</b></td><td><b>4</b></td><td><b>209.366</b></td></tr><tr><th>{<i>&Phi;</i> (<i>g</i> + T4 + T3)}</th><td>219.49</td><td>2.033</td><td>0.174</td><td>0.362</td><td>5</td><td>209.356</td></tr><tr><th>{<i>&Phi;</i> (<i>g</i> + T3)}</th><td>220.04</td><td>2.587</td><td>0.132</td><td>0.274</td><td>4</td><td>211.953</td></tr><tr><th>{<i>&Phi;</i> (<i>g</i>)}</th><td>220.57</td><td>3.116</td><td>0.101</td><td>0.211</td><td>3</td><td>214.517</td></tr><tr><th>{<i>&Phi;</i> (<i>g</i> + wbc)}</th><td>221.49</td><td>4.040</td><td>0.064</td><td>0.133</td><td>4</td><td>213.406</td></tr><tr><th>{<i>&Phi;</i> (<i>g</i> + IgG)}</th><td>222.04</td><td>4.589</td><td>0.048</td><td>0.101</td><td>4</td><td>213.955</td></tr></tbody></table><p><i>Note: g</i> = group (SF, TB, and TMMC), T4 = total thyroxine, T3 = triiodothyronine, WBC = white blood cell count, IgG = total immunoglobulin. <i>c ͡</i> adjustment = 1.15. Highest ranked model highlighted in bold.</p>

opencc-by-4.0Oct 2018View details →
zenodo36/100

Table 3 in A comparison of image and observer based aerial surveys of narwhal

<p><i>Table 3.</i> AIC values after fitting explanatory variables to the DS and MR models. The final model chosen, Model 1, is given in bold and &Delta;AIC indicates the difference between the chosen model and the specified model. HN indicates a half-normal form and HR indicates a hazard-rate form for the DS model. The explanatory variables are perpendicular distance (D), group size (S), group size as a factor with three classes (1, 2&ndash;5, and <i>&ge;</i> 6 narwhals) (S3), Beaufort (BF), side of airplane (SP), observer pair (O), and time to next observation <i>&le;</i> 10 s (T). Appendix S3 provides an overview of all the models that were developed.</p><table><tbody><tr><th>Model</th><th>DS model</th><th>MR model</th><th>No. of parameters</th><th>AIC</th><th>&Delta;AIC</th></tr></tbody><tbody><tr><th><b>1</b></th><td><b>HN: D + BF</b></td><td><b>D + O + S</b> <b>3</b></td><td><b>5</b></td><td><b>1,330.91</b></td><td><b>0</b></td></tr><tr><th>2</th><td>HN: D + BF</td><td>D + O + S</td><td>5</td><td>1,332.81</td><td>1.90</td></tr><tr><th>3</th><td>HN: D + BF + S3</td><td>D + O + T</td><td>6</td><td>1,333.10</td><td>2.19</td></tr><tr><th>4</th><td>HN: D + BF</td><td>D + O</td><td>4</td><td>1,333.50</td><td>2.59</td></tr><tr><th>5</th><td>HN: D + BF + S3</td><td>D + O</td><td>5</td><td>1,335.08</td><td>4.17</td></tr><tr><th>6</th><td>HR: D + BF</td><td>D + O + S3</td><td>5</td><td>1,336.97</td><td>6.06</td></tr></tbody></table>

opencc-by-4.0Jan 2019View details →
zenodo36/100

Table 2 in Acoustic documentation of temperate odontocetes in the Bering and Chukchi Seas

<p><i>Table 2.</i> Mean frequencies and standard deviation (kHz) of click and buzz peaks and notches classified as Risso&rsquo; s (Gg) or Pacific-white sided (Lo) dolphins on PALs as compared to the testing and training data sets of Soldeville <i>et al</i>. (2008).</p><table><tbody><tr><th></th><th>Peak No. Mean kHz (SD)</th><th>Notch No. Mean kHz (SD)</th></tr></tbody><tbody><tr><th></th><td>1</td><td>2</td><td>3</td><td>4</td><td>1</td><td>2</td><td>3</td></tr><tr><th>Soldevilla</th></tr><tr><th>training Gg</th><td>22.1(0.7)</td><td>25.6(0.7)</td><td>30.3(0.8)</td><td>39.0(0.8)</td><td>19.8(0.7)</td><td>27.5(0.9)</td><td>35.8(1.1)</td></tr><tr><th>Soldevilla</th></tr><tr><th>test Gg</th><td>22.4(0.8)</td><td>25.5(1.0)</td><td>30.5(1.1)</td><td>38.8(1.1)</td><td>19.6(1.3)</td><td>27.7(1.1)</td><td>35.9(1.2)</td></tr><tr><th>PAL Gg</th><td>21.3(1.2)</td><td>24.9(1.1)</td><td>31.1(1.4)</td><td>38.9(1.1)</td><td>19.9(1.3)</td><td>27.1(1.5)</td><td>34.6(1.6)</td></tr><tr><th>Soldevilla</th></tr><tr><th>training Lo</th><td>22.1(0.6)</td><td>26.7(1.0)</td><td>33.1(1.4)</td><td>37.3(1.1)</td><td>19.5(0.9)</td><td>24.5(0.8)</td><td>29.8(1.4)</td></tr><tr><th>Soldevilla</th></tr><tr><th>test Lo</th><td>22.2(0.6)</td><td>26.6(0.9)</td><td>33.7(1.4)</td><td>37.3(1.4)</td><td>19.0(1.1)</td><td>24.5(0.9)</td><td>29.7(1.4)</td></tr><tr><th>PAL Lo</th><td>21.5(0.6)</td><td>26.4(1.1)</td><td>32.9(1.1)</td><td>37.4(0.9)</td><td>19.3(0.9)</td><td>24.2(1.4)</td><td>29.8(1.4)</td></tr></tbody></table>

opencc-by-4.0Jan 2019View details →
zenodo36/100

Table 1 in Delphinid brain development from neonate to adulthood with comparisons to other cetaceans and artiodactyls

<p><i>Table 1.</i> Comparison of adult and neonate index of encephalization (EQ) for 15 cetacean (1 mysticete, 14 odontocete) species. EQs were derived from brain and body masses in Table S1.</p><table><thead><tr><th>Family</th><th>Species</th><th>Adult EQ</th><th>Neonate EQ</th></tr></thead><tbody><tr><th>Balaenopteridae</th><td><i>B. physalus</i></td><td>0.495</td><td>2.297</td></tr><tr><th>Delphinidae</th><td><i>C. commersonii</i></td><td>5.149</td><td>7.234</td></tr><tr><th></th><td><i>D. delphis</i></td><td>3.962</td><td>7.801</td></tr><tr><th></th><td><i>G. griseus</i></td><td>4.055</td><td>5.807</td></tr><tr><th></th><td><i>L. acutus</i></td><td>3.805</td><td>6.632</td></tr><tr><th></th><td><i>L. obliquidens</i></td><td>4.635</td><td>8.315</td></tr><tr><th></th><td><i>O. orca</i></td><td>2.425</td><td>8.317</td></tr><tr><th></th><td><i>S. bredanensis</i></td><td>5.633</td><td>8.065</td></tr><tr><th></th><td><i>T. truncatus</i></td><td>3.972</td><td>8.328</td></tr><tr><th>Physeteridae</th><td><i>P. macrocephalus</i></td><td>0.681</td><td>4.402</td></tr><tr><th>Kogiidae</th><td><i>K. breviceps</i></td><td>1.703</td><td>4.767</td></tr><tr><th>Pontoporiidae</th><td><i>P. blainvillei</i></td><td>1.930</td><td>2.571</td></tr><tr><th>Monodontidae</th><td><i>D. leucas</i></td><td>2.643</td><td>5.764</td></tr><tr><th>Phocoenidae</th><td><i>P. phocoena</i></td><td>2.837</td><td>4.406</td></tr><tr><th></th><td><i>P. dalli</i></td><td>2.909</td><td>3.275</td></tr></tbody></table>

opencc-by-4.0Dec 2017View details →
zenodo36/100

Table 4 in Harbor seal use of glacier ice and terrestrial haul-outs in the Kenai Fjords, Alaska

<p><i>Table 4.</i> Summary of harbor seal mother-pup pairs (MP) and seals without pups (nMP) counted during pupping, numbers of seals counted during the molt, and proportions of pups counted relative to total seals (including pups) observed during pupping and during the molt. Counts are presented as means, maximums, and sample sizes (in parentheses) for each region in each year and summarized across years by arithmetic mean, standard deviation and geometric mean.</p><table><tbody><tr><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th>Geo</th></tr></tbody><tbody><tr><th>Region</th><td></td><td>2004</td><td>2005</td><td>2006</td><td>2007</td><td>2008</td><td>2009</td><td>2011</td><td>2012</td><td>2013</td><td>Mean</td><td>SD</td><td>Mean</td></tr><tr><th>Mother-pup pairs during pupping</th></tr><tr><th>AB</th><td>Mean</td><td>20.3</td><td>33.5</td><td>20.0</td><td>22.0</td><td>26.5</td><td>24.3</td><td>87.0</td><td>72.0</td><td>64.0</td><td>41.1</td><td>24.5</td><td>34.9</td></tr><tr><th></th><td>Max</td><td>28</td><td>39</td><td>20</td><td>23</td><td>38</td><td>31</td><td>87</td><td>77</td><td>64</td><td>45.2</td><td>23.2</td><td>39.9</td></tr><tr><th></th><td></td><td>(4)</td><td>(2)</td><td>(1)</td><td>(2)</td><td>(2)</td><td>(3)</td><td>(1)</td><td>(2)</td><td>(1)</td><td></td><td></td><td></td></tr><tr><th>NWF</th><td>Mean</td><td>38.3</td><td>57.5</td><td>39.0</td><td>52.0</td><td>41.5</td><td>38.7</td><td>116.0</td><td>83.0</td><td></td><td>58.2</td><td>26.0</td><td>53.7</td></tr><tr><th></th><td>Max</td><td>54</td><td>79</td><td>39</td><td>54</td><td>42</td><td>45</td><td>116</td><td>84</td><td></td><td>64.1</td><td>25.0</td><td>59.9</td></tr><tr><th></th><td></td><td>(4)</td><td>(2)</td><td>(1)</td><td>(2)</td><td>(2)</td><td>(3)</td><td>(1)</td><td>(2)</td><td>(0)</td><td></td><td></td><td></td></tr><tr><th>MF</th><td>Mean</td><td>22.8</td><td>38.0</td><td>32.0</td><td>48.5</td><td>35.0</td><td>14.0</td><td></td><td></td><td></td><td>31.7</td><td>11.0</td><td>29.5</td></tr><tr><th></th><td>Max</td><td>26</td><td>38</td><td>32</td><td>58</td><td>35</td><td>14</td><td></td><td></td><td></td><td>33.8</td><td>13.3</td><td>31.1</td></tr><tr><th></th><td></td><td>(4)</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></td><td></td><td></td></tr><tr><th>RB-JB</th><td>Mean</td><td>19.5</td><td>11.0</td><td>33.5</td><td>40.0</td><td></td><td>36.3</td><td>8.0</td><td>29.0</td><td></td><td>25.3</td><td>11.7</td><td></td></tr><tr><th></th><td>Max</td><td>33</td><td>21</td><td>33.5</td><td>40</td><td></td><td>70</td><td>8</td><td>38</td><td></td><td>34.8</td><td>17.7</td><td></td></tr><tr><th></th><td></td><td>(4)</td><td>(2)</td><td>(1)</td><td>(1)</td><td>(0)</td><td>(3)</td><td>(1)</td><td>(3)</td><td>(0)</td><td></td><td></td><td></td></tr><tr><th>Seals without pups during pupping</th><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><th>AB</th><td>Mean</td><td>124.8</td><td>103.0</td><td>86.0</td><td>178.0</td><td>179.0</td><td>206.7</td><td>178.0</td><td>406.5</td><td>140.0</td><td>178.0</td><td>89.1</td><td>161.3</td></tr><tr><th></th><td>Max</td><td>188</td><td>144</td><td>86</td><td>211</td><td>211</td><td>253</td><td>178</td><td>439</td><td>140</td><td>205.6</td><td>94.4</td><td>187.5</td></tr><tr><th></th><td></td><td>(4)</td><td>(2)</td><td>(1)</td><td>(2)</td><td>(2)</td><td>(3)</td><td>(1)</td><td>(2)</td><td>(1)</td><td></td><td></td><td></td></tr><tr><th>NWF</th><td>Mean</td><td>86.5</td><td>163.5</td><td>80.0</td><td>179.5</td><td>179.5</td><td>243.3</td><td>182.0</td><td>250.0</td><td></td><td>170.5</td><td>58.3</td><td>158.8</td></tr><tr><th></th><td>Max</td><td>96</td><td>179</td><td>80</td><td>205</td><td>202</td><td>342</td><td>182</td><td>257</td><td></td><td>192.9</td><td>78.3</td><td>175.8</td></tr><tr><th></th><td></td><td>(4)</td><td>(2)</td><td>(1)</td><td>(2)</td><td>(2)</td><td>(3)</td><td>(1)</td><td>(2)</td><td>(0)</td><td></td><td></td><td></td></tr><tr><th>MF</th><td>Mean</td><td>50.5</td><td>145.0</td><td>106.0</td><td>119.5</td><td>173.0</td><td>89.0</td><td></td><td></td><td></td><td>113.8</td><td>39.1</td><td>106.1</td></tr><tr><th></th><td>Max</td><td>77</td><td>145</td><td>106</td><td>155</td><td>173</td><td>89</td><td></td><td></td><td></td><td>124.2</td><td>35.5</td><td>118.9</td></tr><tr><th></th><td></td><td>(4)</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></td><td></td><td></td></tr><tr><th>Region</th><td></td><td>2004</td><td>2005</td><td>2006</td><td>2007</td><td>2008</td><td>2009</td><td>2011</td><td>2012</td><td>2013</td><td>Mean</td><td>SD</td><td>Mean</td></tr><tr><th>RB-JB</th><td>Mean</td><td>148.8</td><td>143.0</td><td>275.5</td><td>353.0</td><td></td><td>284.0</td><td>211.0</td><td>251.3</td><td></td><td>238.1</td><td>70.4</td><td>227.1</td></tr><tr><th></th><td>Max</td><td>174</td><td>233</td><td>275.5</td><td>353</td><td></td><td>448</td><td>211</td><td>329</td><td></td><td>289.1</td><td>87.5</td><td>276.2</td></tr><tr><th></th><td></td><td>(4)</td><td>(2)</td><td>(1)</td><td>(1)</td><td>(0)</td><td>(3)</td><td>(1)</td><td>(3)</td><td>(0)</td><td></td><td></td><td></td></tr><tr><th>Total seals during molt</th><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><th>AB</th><td>Mean</td><td>253.5</td><td>391.7</td><td>267.0</td><td>437.0</td><td>649.0</td><td></td><td></td><td>738.0</td><td></td><td>456.0</td><td>181.7</td><td>420.8</td></tr><tr><th></th><td>Max</td><td>303</td><td>503</td><td>267</td><td>437</td><td>649</td><td></td><td></td><td>738</td><td></td><td>482.8</td><td>170.4</td><td>451.9</td></tr><tr><th></th><td></td><td>(4)</td><td>(3)</td><td>(1)</td><td>(1)</td><td>(1)</td><td>(0)</td><td>(0)</td><td>(1)</td><td>(0)</td><td></td><td></td><td></td></tr><tr><th>NWF</th><td>Mean</td><td>49.7</td><td>224.3</td><td>236.0</td><td>342.0</td><td>140.0</td><td></td><td></td><td>650.0</td><td></td><td>273.7</td><td>190.7</td><td>208.4</td></tr><tr><th></th><td>Max</td><td>85</td><td>306</td><td>236</td><td>342</td><td>140</td><td></td><td></td><td>650</td><td></td><td>293.2</td><td>182.5</td><td>240.0</td></tr><tr><th></th><td></td><td>(3)</td><td>(3)</td><td>(1)</td><td>(1)</td><td>(1)</td><td>(0)</td><td>(0)</td><td>(1)</td><td>(0)</td><td></td><td></td><td></td></tr><tr><th>MF</th><td>Mean</td><td>252.5</td><td>333.7</td><td></td><td>220.0</td><td>312.0</td><td></td><td></td><td></td><td></td><td>279.5</td><td>45.4</td><td>275.8</td></tr><tr><th></th><td>Max</td><td>552</td><td>380</td><td></td><td>220</td><td>312</td><td></td><td></td><td></td><td></td><td>366.0</td><td>121.5</td><td>346.4</td></tr><tr><th></th><td></td><td>(4)</td><td>(3)</td><td>(0)</td><td>(1)</td><td>(1)</td><td>(0)</td><td>(0)</td><td>(0)</td><td>(0)</td><td></td><td></td><td></td></tr><tr><th>RB-JB</th><td>Mean</td><td>146.8</td><td>308.7</td><td>165.5</td><td>513.5</td><td>564.0</td><td></td><td></td><td>477.0</td><td></td><td>362.6</td><td>165.7</td><td>318.1</td></tr><tr><th></th><td>Max</td><td>226</td><td>569</td><td>225</td><td>546</td><td>564</td><td></td><td></td><td>477</td><td></td><td>434.5</td><td>150.8</td><td>402.5</td></tr><tr><th></th><td></td><td>(4)</td><td>(3)</td><td>(2)</td><td>(2)</td><td>(1)</td><td>(0)</td><td>(0)</td><td>(1)</td><td>(0)</td><td></td><td></td><td></td></tr><tr><th>Proportion pups relative to total seal including pups</th><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><th>AB</th><td>Mean</td><td>11.8%</td><td>20.6%</td><td>15.9%</td><td>10.1%</td><td>10.9%</td><td>9.6%</td><td>24.7%</td><td>13.1%</td><td>23.9%</td><td>15.6%</td><td>6%</td><td>14.7%</td></tr><tr><th></th><td>Max</td><td>15.0%</td><td>23.7%</td><td>15.9%</td><td>11.2%</td><td>13.2%</td><td>13.3%</td><td>24.7%</td><td>14.6%</td><td>23.9%</td><td>17.3%</td><td>5%</td><td>16.6%</td></tr><tr><th></th><td></td><td>(4)</td><td>(2)</td><td>(1)</td><td>(2)</td><td>(2)</td><td>(3)</td><td>(1)</td><td>(2)</td><td>(1)</td><td></td><td></td><td></td></tr><tr><th>NWF</th><td>Mean</td><td>22.3%</td><td>20.1%</td><td>24.7%</td><td>18.5%</td><td>15.9%</td><td>12.7%</td><td>28.0%</td><td>20.0%</td><td></td><td>20.3%</td><td>5%</td><td>19.8%</td></tr><tr><th></th><td>Max</td><td>29.6%</td><td>25.8%</td><td>24.7%</td><td>19.7%</td><td>17.2%</td><td>15.7%</td><td>28.0%</td><td>20.4%</td><td></td><td>22.6%</td><td>5%</td><td>22.1%</td></tr><tr><th></th><td></td><td>(4)</td><td>(2)</td><td>(1)</td><td>(2)</td><td>(2)</td><td>(3)</td><td>(1)</td><td>(2)</td><td>(0)</td><td></td><td></td><td></td></tr><tr><th>MF</th><td>Mean</td><td>26.3%</td><td>17.2%</td><td>18.8%</td><td>22.7%</td><td>14.4%</td><td>12.0%</td><td></td><td></td><td></td><td>18.6%</td><td>5%</td><td>17.9%</td></tr><tr><th></th><td>Max</td><td>42.0%</td><td>17.2%</td><td>18.8%</td><td>24.1%</td><td>14.4%</td><td>12.0%</td><td></td><td></td><td></td><td>21.4%10%</td><td>19.6%</td><td></td></tr><tr><th></th><td></td><td>(4)</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></td><td></td><td></td></tr><tr><th>Region</th><td></td><td>2004</td><td>2005</td><td>2006</td><td>2007</td><td>2008</td><td>2009</td><td>2011</td><td>2012</td><td>2013</td><td>Mean</td><td>SD</td><td>Mean</td></tr><tr><th>RB-JB</th><td>Mean</td><td>10%</td><td>5%</td><td>10%</td><td>9%</td><td></td><td>11%</td><td>4%</td><td>10%</td><td></td><td>8.3%</td><td>3%</td><td>7.8%</td></tr><tr><th></th><td>Max</td><td>15%</td><td>8%</td><td>10%</td><td>9%</td><td></td><td>14%</td><td>4%</td><td>15%</td><td></td><td>10.6%</td><td>4%</td><td>9.6%</td></tr><tr><th></th><td></td><td>(4)</td><td>(2)</td><td>(1)</td><td>(1)</td><td>(0)</td><td>(3)</td><td>(1)</td><td>(3)</td><td>(0)</td><td></td><td></td><td></td></tr><tr><th>Proportion pups relative to molting seals</th><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><th>AB</th><td>Mean</td><td>8.0%</td><td>8.6%</td><td>7.5%</td><td>5.0%</td><td>4.1%</td><td></td><td></td><td>9.8%</td><td></td><td>7.2%</td><td>2%</td><td>6.8%</td></tr><tr><th></th><td>Max</td><td>9.2%</td><td>7.8%</td><td>7.5%</td><td>5.3%</td><td>5.9%</td><td></td><td></td><td>10.4%</td><td></td><td>7.7%</td><td>2%</td><td>7.5%</td></tr><tr><th></th><td></td><td>(4)</td><td>(3)</td><td>(1)</td><td>(1)</td><td>(1)</td><td>(0)</td><td>(0)</td><td>(1)</td><td>(0)</td><td></td><td></td><td></td></tr><tr><th>NWF</th><td>Mean</td><td>77.0%</td><td>25.6%</td><td>16.5%</td><td>15.2%</td><td>29.6%</td><td></td><td></td><td>12.8%</td><td></td><td>29.5%</td><td>22%</td><td>23.9%</td></tr><tr><th></th><td>Max</td><td>63.5%</td><td>25.8%</td><td>16.5%</td><td>15.8%</td><td>30.0%</td><td></td><td></td><td>12.9%</td><td></td><td>27.4%</td><td>17%</td><td>23.4%</td></tr><tr><th></th><td></td><td>(3)</td><td>(3)</td><td>(1)</td><td>(1)</td><td>(1)</td><td>(0)</td><td>(0)</td><td>(1)</td><td>(0)</td><td></td><td></td><td></td></tr><tr><th>MF</th><td>Mean</td><td>9.0%</td><td>11.4%</td><td></td><td>22.0%</td><td>11.2%</td><td></td><td></td><td></td><td></td><td>13.4%</td><td>5%</td><td>12.6%</td></tr><tr><th></th><td>Max</td><td>4.7%</td><td>10.0%</td><td></td><td>26.4%</td><td>11.2%</td><td></td><td></td><td></td><td></td><td>13.1%</td><td>8%</td><td>10.9%</td></tr><tr><th></th><td></td><td>(4)</td><td>(3)</td><td>(0)</td><td>(1)</td><td>(1)</td><td>(0)</td><td>(0)</td><td>(0)</td><td>(0)</td><td></td><td></td><td></td></tr><tr><th>RB-JB</th><td>Mean</td><td>13.3%</td><td>3.6%</td><td>20.2%</td><td>7.8%</td><td></td><td></td><td></td><td>6.1%</td><td></td><td>10.2%</td><td>6%</td><td>8.5%</td></tr><tr><th></th><td>Max</td><td>14.6%</td><td>3.7%</td><td>14.9%</td><td>7.3%</td><td></td><td></td><td></td><td>8.0%</td><td></td><td>9.7%</td><td>4%</td><td>8.6%</td></tr><tr><th></th><td></td><td>(4)</td><td>(3)</td><td>(2)</td><td>(2)</td><td>(0)</td><td>(0)</td><td>(0)</td><td>(1)</td><td>(0)</td><td></td><td></td><td></td></tr></tbody></table><p>(Continued)</p><p>(Continued)</p>

opencc-by-4.0Dec 2017View details →
zenodo36/100

Table 1 in A comparison of image and observer based aerial surveys of narwhal

<p><i>Table 1.</i> Summary of survey effort in the four strata during aerial surveys conducted in Melville Bay from 25 to 30 August 2014.</p><table><tbody><tr><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th>Aerial observers</th></tr></tbody><tbody><tr><th></th><td></td><td></td><td></td><td></td><td></td><td>Image</td><td></td><td>Aerial observers</td><td>(truncated 500 m)</td></tr><tr><th></th><td></td><td>Planned/</td><td>Length of</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><th></th><td>Area</td><td>completed</td><td>surveyed</td><td>Analyzed</td><td>No. of</td><td>No.</td><td>Ave. group</td><td>No. of</td><td>No.</td><td>Ave. group</td><td>No. of</td><td>No.</td><td>Ave. group</td></tr><tr><th>Stratum</th><td>(km2)</td><td>transects (no.)</td><td>transects (km)</td><td>images a</td><td>sightings</td><td>of ind.b</td><td>size <i>n</i> (CV)</td><td>sightings</td><td>of ind.</td><td>size <i>n</i> (CV)</td><td>sightings</td><td>of ind.</td><td>size <i>n</i> (CV)</td></tr><tr><th>NW</th><td>6,376</td><td>5 / 4</td><td>226</td><td>2,066</td><td>0</td><td>0</td><td>0 (0)</td><td>0</td><td>0</td><td>0 (0)</td><td>0</td><td>0</td><td>0 (0)</td></tr><tr><th>NE</th><td>2,076</td><td>11 / 12</td><td>468</td><td>6,572</td><td>23</td><td>49</td><td>2.1 (0.95)</td><td>15</td><td>39</td><td>2.6 (0.77)</td><td>13</td><td>32.5</td><td>2.5 (0.76)</td></tr><tr><th>C</th><td>2,621</td><td>9 / 18</td><td>663</td><td>8,193</td><td>39</td><td>86</td><td>2.2 (0.73)</td><td>48</td><td>188</td><td>3.9 (0.69)</td><td>23</td><td>93.5</td><td>4.1 (0.61)</td></tr><tr><th>S</th><td>3,748</td><td>13 / 10</td><td>575</td><td>4,105</td><td>0</td><td>0</td><td>0 (0)</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><th>All strata</th><td>14,821</td><td>38 / 44</td><td>1,932</td><td>20,936</td><td>62</td><td>135</td><td>2.2 (0.77)</td><td>63</td><td>227</td><td>3.6 (0.72)</td><td>36</td><td>126</td><td>3.5 (0.69)</td></tr></tbody></table><p><sup>a</sup> Including 180 off-effort images that were not used in the analysis. <sup>b</sup> Ind. = individuals.</p>

opencc-by-4.0Jan 2019View details →
zenodo36/100

Table 1 in Harbor seal pup dispersal and individual morphology, hematology, and contaminant factors affecting survival

<p><i>Table 1.</i> Mean and range for covariate values by group (SF = San Francisco, TB = Tomales Bay and TMMC = The Marine Mammal Center). The geometric mean is shown for contaminant concentrations (ng/g lipid weight).</p><table><tbody><tr><th></th><th>SF</th><th>TB</th><th>TMMC</th></tr></tbody><tbody><tr><th>Sample size</th><td>19</td><td>7</td><td>21</td></tr><tr><th>Morphology</th><td></td><td></td><td></td></tr><tr><th>Mass (kg)</th><td>19 (13&ndash;27)</td><td>20 (16&ndash;25)</td><td>18 (13&ndash;25)</td></tr><tr><th>Length (cm)</th><td>85 (72&ndash;100)</td><td>88 (83&ndash;95)</td><td>86 (79&ndash;96)</td></tr><tr><th>Girth (cm)</th><td>72 (61&ndash;86)</td><td>74 (65&ndash;83)</td><td>69 (58&ndash;93)</td></tr><tr><th>Blubber depth</th><td>19 (14&ndash;25)</td><td>19 (14&ndash;23)</td><td>18 (13&ndash;22)</td></tr><tr><th>(mm) Body condition</th><td>1.0 (<i>&minus;</i> 3.0&ndash;7.5)</td><td>0.1 (<i>&minus;</i> 1.9&ndash;1.9)</td><td><i>&minus;</i> 1.0 (<i>&minus;</i> 5.4&ndash;2.8)a</td></tr><tr><th>Sex (male, female)</th><td>9, 10</td><td>5, 2</td><td>9, 12</td></tr><tr><th>Blood IgG (mg/mL) WBC (/&mu;L) T4 (nmol/L)</th><td>24 (20&ndash;33) 7.4 (4.3&ndash;11.1)b 28 (10&ndash;58)</td><td>26 (21&ndash;29) 8.3 (4.9&ndash;13.6)a, b 46 (18&ndash;62)</td><td>29 (26&ndash;32)a 10.1 (6.2&ndash;15.0)a 19 (7 40)a &ndash;</td></tr><tr><th>T3 (nmol/L)</th><td>0.86 (0.53&ndash;2.32)</td><td>0.61 (0.39&ndash;0.94)</td><td>0.88 (0.52&ndash;1.46)</td></tr><tr><th>Contaminants PCB</th><td>9,777a</td><td>1,794</td><td>1,148</td></tr><tr><th>DDT</th><td>(2,594&ndash;30,075) 7,179</td><td>(668&ndash;10,627) 3,897</td><td>(229&ndash;7,528) 1,616a</td></tr><tr><th>PBDE CHLD HCH OH</th><td>(2,738&ndash;24,436) 1,053a (360&ndash;2,874) 373 (125&ndash;883) 27 (12&ndash;57) 18,601a</td><td>(992&ndash;17,380) 192 (40&ndash;1,117) 252 (126&ndash;817) 43a (20 70) &ndash; 6,302b</td><td>(318&ndash;5,885) 154 (61&ndash;876) 99a (47&ndash;461) 24 (17&ndash;42) 3,160</td></tr><tr><th></th><td>(5,836&ndash;57,855)</td><td>(1,952&ndash;27,880)</td><td>(672&ndash;14,599)</td></tr></tbody></table><p><i>Note</i>: IgG = serum immunoglobulin, WBC = total white blood cell count, T4 = serum total thyroxine, T3 = serum total triiodothyronine, PCB = polychlorinated biphenyls, DDT = summed dichlorodiphenyltrichloroethane and its metabolites, PBDE = polybrominated diphenylethers, CHLD = chlordanes, HCH = hexachlorocyclohexanes, and OH = the five contaminant classes summed. Superscript letters represent significant differences among groups.</p>

opencc-by-4.0Oct 2018View details →
zenodo36/100

Table 4 in Potential neuroprotective of trans-resveratrol a promising agent tempeh and soybean seed coats-derived against beta-amyloid neurotoxicity on primary culture of nerve cells induced by 2 - methoxyethanol

<p><b>Table 4.</b> Cytotoxic effect of various concentrations of Resveratrol and 2-Methoxyethanol Against Primary Neuron cell viability in MTT assay (570 nm).</p><table><tbody><tr><th><b>% Inhibition</b></th></tr></tbody><tbody><tr><th><b>Concentration of 2-Methoxyethanol</b></th><td><b>2-ME (10mM)</b></td><td><b>2-ME (10mM)</b></td><td><b>2-ME (10mM)</b></td></tr><tr><th><b>and Resveratrol</b></th><td><b>Resveratrol (Standard)</b></td><td><b>Resveratrol (Tempeh)</b></td><td><b>Resveratrol (Soybean Seed Coat)</b></td></tr><tr><th>IC50</th><td>(17.38 &plusmn; 0.99 &micro;g/mL)</td><td>(31.14 &plusmn; 0.02 &micro;g/mL)</td><td>(13.40 &plusmn; 0.30 &micro;g/mL)</td></tr><tr><th>1.4 (&micro;g/mL)</th><td>12.57</td><td>0</td><td>11.98</td></tr><tr><th>2.8 (&micro;g/mL)</th><td>4.59</td><td>1.75</td><td>17.03</td></tr><tr><th>4.2 (&micro;g/mL)</th><td>0</td><td>0</td><td>0</td></tr></tbody></table>

opencc-by-4.0Dec 2022View details →
zenodo36/100

Table 4 in Acoustic monitoring reveals the times and tides of harbor porpoise (Phocoena phocoena) distribution off central Oregon, U. S. A.

<p><i>Table 4.</i> Predictor environmental variables in generalized additive models (GAM) of harbor porpoise echolocation activity and their significance, with deviance explained of entire model.</p><table><tbody><tr><th></th><th>Reef</th><th>Reef</th><th>Offshore</th><th>Offshore</th></tr></tbody><tbody><tr><th>Predictor</th><td>PPM</td><td>BPM</td><td>PPM</td><td>BPM</td></tr><tr><th>Julian day</th><td>&lt;0.001c</td><td>&lt;0.001c</td><td>&lt;0.001c</td><td>&lt;0.001c</td></tr><tr><th>Diel phase:</th><td></td><td></td><td></td><td></td></tr><tr><th>Morning</th><td>&mdash;</td><td>&mdash;</td><td>&mdash;</td><td>&mdash;</td></tr><tr><th>Day Evening Night</th><td>&mdash; &mdash; 0.01a</td><td>&mdash; &mdash; &mdash;</td><td>&mdash; 0.003b 0.04a</td><td>&mdash; &lt;0.001c</td></tr><tr><th>Tidal phase</th><td>0.05</td><td>&mdash;</td><td>0.05</td><td>&mdash;</td></tr><tr><th>Julian day <i>&times;</i> Diel</th><td></td><td></td><td></td><td></td></tr><tr><th>phase: Morning Day Evening Night Julian day <i>&times;</i> Tidal</th><td>&mdash; &mdash; &lt;0.001c &lt;0.001c 0.02a</td><td>&mdash; 0.04a 0.001b &lt;0.001c &lt;0.001c</td><td>&mdash; &lt;0.001c &lt;0.001c &lt;0.001c &mdash;</td><td>&lt;0.001c &lt;0.001c &mdash; &mdash;</td></tr><tr><th>phase</th><td></td><td></td><td></td><td></td></tr><tr><th>Diel phase <i>&times;</i> Tidal</th><td>&mdash;</td><td>&mdash;</td><td>&mdash;</td><td>&mdash;</td></tr><tr><th>phase</th><td></td><td></td><td></td><td></td></tr><tr><th>Deviance explained</th><td>6.9%</td><td>13.7%</td><td>11.5%</td><td>13.2%</td></tr></tbody></table><p><sup>a</sup> Significant at the 0.05 probability level.</p><p><sup>b</sup> Significant at the 0.01 probability level.</p><p><sup>c</sup> Significant at the 0.001 probability level.</p>

opencc-by-4.0Oct 2018View details →
zenodo36/100

Table 1 in Revised taxonomy of eastern North Pacific killer whales (Orcinus orca): Bigg's and resident ecotypes deserve species status

<p><b>Table 1.</b> Measures of differentiation, divergence and diagnosability based on nuclear microsatellite and SNP data. All frequency-based metrics (FST, F&rsquo;ST, G&rsquo;ST) were significantly different from zero at p &lt;0.05.</p><table><tbody><tr><th>divergence metric</th><th></th><th>reference</th></tr></tbody><tbody><tr><th>dA (CR)</th><td>0.007 46a</td><td>[114]</td></tr><tr><th>dA (mitogenome)</th><td>0.003 91b</td><td>[114]</td></tr><tr><th>FST (microsatellite)</th><td>0.21&ndash;0.23</td><td>[56,85]</td></tr><tr><th>F&rsquo;ST (microsatellite)</th><td>0.47</td><td>[56]</td></tr><tr><th>G&rsquo;ST (microsatellite)</th><td>0.28</td><td>[56]</td></tr><tr><th>FST (SNP)</th><td>0.28</td><td>[15]</td></tr><tr><th>F(RADseq, neutral)c ST</th><td>0.27</td><td>[58]</td></tr><tr><th>F(RADseq, selected)c ST</th><td>0.67</td><td>[58]</td></tr><tr><th>FST (genomes)</th><td>0.32</td><td>[9] (electronic supplementary material, table S2)</td></tr><tr><th>diagnosability (CR)</th><td>100%</td><td>[114]</td></tr><tr><th>diagnosability (mitogenome)</th><td>100%</td><td>[114]</td></tr><tr><th>fixed differences (mitogenome)</th><td>57</td><td>[7]</td></tr><tr><th>fixed differences (3281 nuclear SNPs)</th><td>2&ndash;7</td><td>[58]</td></tr><tr><th>fixed differences (6 435 100 nuclear SNPs)</th><td>6361d</td><td>[113]</td></tr></tbody></table><p>a 95% confidence interval:0.00727&ndash;0.00772. b 95% confidence interval: 0.00388&ndash;0.00393. c Alaska transients (Bigg&rsquo;s) versus Alaska residents. d Based on analysis of raw SNP data from Kardos et al. [113].</p>

opencc-by-4.0Mar 2024View details →
zenodo36/100

Table 1 in Seasonal mite population distribution on Caryocar brasiliense trees in the Cerrado domain

<p><b>Table 1.</b> Number of mites (cm 2 of leaf) or per fruit, diversity and species richness (cm 2 of leaf/tree), temperature (&deg;C), rainfall (mm), relative humidity of air (%), sunlight (h), and velocity of wind (m/sec) (average &plusmn; SE) according to the season of the year on <i>Caryocar brasiliense</i>. Montes Claros, Minas Gerais State, Brazil.</p><table><tbody><tr><th></th><th></th><th><b>Season of the year</b></th><th></th></tr></tbody><tbody><tr><th><b>Mites/cm</b> <b>2</b> <b>of leaf</b></th><td></td><td></td><td></td><td></td></tr><tr><th></th><td><b>Summer</b></td><td><b>Autumn</b></td><td><b>Winter</b></td><td><b>Spring</b></td></tr><tr><th>Acari n.s.</th><td>0.0019 &plusmn; 0.0007A</td><td>0.0066 &plusmn; 0.0018A</td><td>0.0019 &plusmn; 0.0009A</td><td>0.0000 &plusmn; 0.0000A</td></tr><tr><th><i>Agistemus</i> sp. *</th><td>0.0086 &plusmn; 0.0021AB</td><td>0.0139 &plusmn; 0.0032A</td><td>0.0019 &plusmn; 0.0011B</td><td>0.0026 &plusmn; 0.0014B</td></tr><tr><th><i>Eutetranychus</i> sp. n. s.</th><td>0.0000 &plusmn; 0.0000A</td><td>0.0013 &plusmn; 0.0007A</td><td>0.0008 &plusmn; 0.0008A</td><td>0.0000 &plusmn; 0.0000A</td></tr><tr><th><i>Histiostoma</i> sp. **</th><td>0.0376 &plusmn; 0.0094C</td><td>0.0834 &plusmn; 0.0094A</td><td>0.0675 &plusmn; 0.0093B</td><td>0.0598 &plusmn; 0.0157B</td></tr><tr><th><i>Proctolaelaps</i> sp. **</th><td>0.0010 &plusmn; 0.0007B</td><td>0.0156 &plusmn; 0.0061A</td><td>0.0022 &plusmn; 0.0012B</td><td>0.0000 &plusmn; 0.0000B</td></tr><tr><th><i>Tetranychus</i> sp.1 **</th><td>0.0059 &plusmn; 0.0018AB</td><td>0.0150 &plusmn; 0.0034A</td><td>0.0124 &plusmn; 0.0041A</td><td>0.0000 &plusmn; 0.0000B</td></tr><tr><th><i>Tetranychus</i> sp.2 n.s.</th><td>0.0017 &plusmn; 0.0010A</td><td>0.0060 &plusmn; 0.0018A</td><td>0.0038 &plusmn; 0.0016A</td><td>0.0011 &plusmn; 0.0008A</td></tr><tr><th><b>Mites/fruit</b></th></tr><tr><th><i>Histiostoma</i> sp. *</th><td>76.76 &plusmn; 18.67A</td><td>0.00 &plusmn; 0.00B</td><td>0.00 &plusmn; 0.00B</td><td>0.00 &plusmn; 0.00B</td></tr><tr><th><i>Proctolaelaps</i> sp. *</th><td>2.80 &plusmn; 0.79A</td><td>0.00 &plusmn; 0.00B</td><td>0.00 &plusmn; 0.00B</td><td>0.00 &plusmn; 0.00B</td></tr><tr><th><b>Ecological indices</b></th></tr><tr><th>Diversity**</th><td>3.82 &plusmn; 1.02AB</td><td>5.19 &plusmn; 1.36A</td><td>3.54 &plusmn; 0.87AB</td><td>1.96 &plusmn; 0.32B</td></tr><tr><th>Species richness*</th><td>2.70 &plusmn; 0.65AB</td><td>3.60 &plusmn; 0.71A</td><td>2.70 &plusmn; 0.73AB</td><td>1.60 &plusmn; 0.26B</td></tr><tr><th><b>Variables</b></th></tr><tr><th>Temperature**</th><td>24.10 &plusmn; 0.11B</td><td>22.16 &plusmn; 0.30C</td><td>22.78 &plusmn; 0.23C</td><td>25.05 &plusmn; 0.27A</td></tr><tr><th>Rainfall**</th><td>5.15 &plusmn; 0.73B</td><td>1.04 &plusmn; 0.35B</td><td>1.03 &plusmn; 0.40B</td><td>22.48 &plusmn; 7.59A</td></tr><tr><th>Humidity*</th><td>75.80 &plusmn; 1.21A</td><td>64.31 &plusmn; 1.51B</td><td>52.36 &plusmn; 0.98C</td><td>63.97 &plusmn; 2.80B</td></tr><tr><th>Sunlight**</th><td>5.98 &plusmn; 0.32B</td><td>8.33 &plusmn; 0.16A</td><td>8.06 &plusmn; 0.20A</td><td>6.84 &plusmn; 0.56B</td></tr><tr><th>Wind**</th><td>2.48 &plusmn; 0.29A</td><td>1.80 &plusmn; 0.02B</td><td>2.30 &plusmn; 0.06A</td><td>2.12 &plusmn; 0.03AB</td></tr></tbody></table><p>Means followed by the same letter (average &plusmn; SE) in each row are not different by the test of Tukey (* = P&lt;0.01 and ** = P &lt;0.05).Freedom degree: mites/leaf = 5281, mites/fruit = 2184, ecological indices = 27, and climatic data = 72, &ldquo;n.s.&rdquo; = non-significant data.</p>

opencc-by-4.0Dec 2022View details →
zenodo36/100

Table 1 in Rotifers of Bahia State, Brazil: News records and limitations to studies

<p><b>Table 1.</b> Sampling localities of Rotifera in the State of Bahia,with number of locations, code,region,environment, geographic coordinates and references. CDDTA: Center for the Development and Dissemination of Aquaculture Technology</p><table><tbody><tr><th><b>Samplig sites</b></th><th><b>Code</b></th><th><b>Locality</b></th><th><b>Municipality</b></th><th><b>Environment</b></th><th><b>Coordinates (S-W)</b></th><th><b>References</b></th></tr></tbody><tbody><tr><th>1</th><td>TT</td><td>Tilapia cultivation tank - CDDTA</td><td>Paulo Afonso (PA)</td><td>Lentic</td><td>9&deg;24&rsquo;36.21&rdquo;- 38&deg;13&rsquo;17.16&rsquo;</td><td>Oliveira et al (2015)</td></tr><tr><th>2</th><td>RN</td><td>Natural Reservoir</td><td>Povoado Olhos D&rsquo;&aacute;gua do Souza, Gl&oacute;ria (GL)</td><td>Lentic</td><td>9&deg;21&rsquo;29.86&rsquo;&rsquo;- 38&deg;15&rsquo;38.23&rdquo;</td><td>Ara&uacute;jo and Nogueira (2016)</td></tr><tr><th>3</th><td>BS</td><td>Barrage Sobradinho</td><td>Casa Nova (CS)</td><td>Lentic</td><td>9&deg;25&rsquo;34.78&rdquo;- 41&deg;09&rsquo;24.80&rdquo;</td><td>Crispim and Watanabe (2000)</td></tr><tr><th>4</th><td>SFb</td><td>S&atilde;o Francisco River</td><td>Barra (BR)</td><td>Lotic</td><td>11&deg;05&rsquo;56.46&rdquo;- 43&deg;08&rsquo;23.62&rdquo;</td><td>Neumann-Leit&atilde;o and Nogueira-Paranhos (1987)</td></tr><tr><th>5</th><td>SFx</td><td>S&atilde;o Francisco River</td><td>Xique-Xique (XX)</td><td>Lotic</td><td>11&deg;00&rsquo;02.85&rdquo;- 43&deg;02&rsquo;42.46&rdquo;</td><td>Neumann-Leit&atilde;o and Nogueira-Paranhos (1987)</td></tr><tr><th>6</th><td>SFs</td><td>S&atilde;o Francisco River</td><td>Sobradinho (SD)</td><td>Lotic</td><td>9&deg;26&rsquo;31.36&rdquo;- 40&deg;47&rsquo;57.05&rdquo;</td><td>Neumann-Leit&atilde;o and Nogueira-Paranhos (1987)</td></tr><tr><th>7</th><td>SFr</td><td>S&atilde;o Francisco River</td><td>Rodelas (RD)</td><td>Lotic</td><td>8&deg;59&rsquo;14.64&rdquo;- 38&deg;39&rsquo;32.78&rdquo;</td><td>Neumann-Leit&atilde;o and Nogueira- Paranhos (1987)</td></tr><tr><th>8</th><td>RPC</td><td>Reservoir of Pedra do Cavalo</td><td>Feira de Santana</td><td>Lentic</td><td>12&deg;35&rsquo; - 38&deg;59&rsquo;</td><td>Santos et al (2019)</td></tr><tr><th>9</th><td>LB</td><td>Lagoon of Bateias</td><td>Vit&oacute;ria da Conquista (VC)</td><td>Lentic</td><td>14&deg;51&rsquo;15.45&rdquo;- 40&deg;52&rsquo;12.06&rdquo;</td><td>Data of 2010 - 2011</td></tr><tr><th>10</th><td>PNSV</td><td><i>National Park of Sempre Vivas</i></td><td>Mucug&ecirc; (MC)</td><td>Lotic</td><td>12&deg;59&rsquo;35.9&rdquo;- 41&deg;20&rsquo;25.8&rdquo;</td><td>Data of 2011 - 2012</td></tr><tr><th></th><td>RC</td><td>Cumbuca River</td><td></td><td></td><td></td><td>Data of 2011 - 2013</td></tr><tr><th></th><td>RP</td><td>Piabinha River</td><td></td><td></td><td></td><td>Data of 2011 - 2014</td></tr><tr><th>11</th><td>RFBF</td><td>Reservoir of Fazenda Beija-flor</td><td>Vit&oacute;ria da Conquista</td><td>Lentic</td><td>14&deg;58&rsquo;12.74&rdquo; - 40&deg;49&rsquo;12.61&rdquo;</td><td>Data of 2012 - 2013</td></tr><tr><th></th><td>CRB</td><td><i>Cachoeira River Basin</i></td><td>South Bahia</td><td>Lotic</td><td></td><td>data of 2014 - 2015</td></tr><tr><th>12</th><td>RS</td><td>Salgado River</td><td></td><td></td><td>14&deg;53&rsquo;56.47&rdquo; - 39&deg;42&rsquo;21.53&rdquo;</td><td>data of 2014 - 2016</td></tr><tr><th>13</th><td>RCo</td><td>Col&ocirc;nia River</td><td></td><td></td><td>15&deg;06&rsquo;18.19&rdquo;- 39&deg;56&rsquo;12.04&rdquo;</td><td>data of 2014 - 2017</td></tr><tr><th>14</th><td>RCa</td><td>Cachoeira River</td><td></td><td></td><td>14&deg;54&rsquo;44.16&rsquo;- 39&deg;23&rsquo;15.74&rdquo;</td><td>data of 2014 - 2018</td></tr></tbody></table>

opencc-by-4.0Dec 2022View details →
zenodo36/100

Table 2 in Perinatal exposure to a high-fat diet alters proopiomelanocortin, neuropeptide Y and dopaminergic receptors gene expression and the food preference in offspring adult rats

<p><b>Table 2.</b> Relative food intake of the high-fat diet and control diet during the food preference study in offspring exposed or not a control diet or high-fat diet during perinatal and/or postnatal period.</p><table><tbody><tr><th></th><th><i>High-fat diet (g/100 g body weight)</i></th><th></th></tr></tbody><tbody><tr><th></th><td><i>102&ordm; day</i></td><td><i>110&ordm; day</i></td><td><i>116&ordm; day</i></td></tr><tr><th><i>CC</i></th><td>12.6 &plusmn; 0.6</td><td>11.3 &plusmn; 0.2</td><td>11.1 &plusmn; 0.7</td></tr><tr><th><i>CH</i></th><td>12.8 &plusmn; 0.6</td><td>12.4 &plusmn; 0.3</td><td>11.4 &plusmn; 0.4</td></tr><tr><th><i>HC</i></th><td>16.7 &plusmn; 1.1 <b>a.b*</b></td><td>13.7 &plusmn; 0.9</td><td>10.0 &plusmn; 0.5</td></tr><tr><th><i>HH</i></th><td>15.3 &plusmn; 0.7 <b>a.b*</b></td><td>11.7 &plusmn; 0.9</td><td>10.7 &plusmn; 0.5</td></tr><tr><th></th><td><i>Control diet (g/100 g body weight)</i></td><td></td></tr><tr><th></th><td><i>102&ordm; day</i></td><td><i>110&ordm; day</i></td><td><i>116&ordm; day</i></td></tr><tr><th><i>CC</i></th><td>1.4 &plusmn; 0.2</td><td>1.1 &plusmn; 0.1</td><td>1.1 &plusmn; 0.3</td></tr><tr><th><i>CH</i></th><td>2.1 &plusmn; 0.2</td><td>1.5 &plusmn; 0.3</td><td>0.9 &plusmn; 0.1</td></tr><tr><th><i>HC</i></th><td>1.8 &plusmn; 0.2</td><td>1.0 &plusmn; 0.3</td><td>1.0 &plusmn; 0.3</td></tr><tr><th><i>HH</i></th><td>1.9 &plusmn; 0.2</td><td>1.1 &plusmn; 0.2</td><td>0.7 &plusmn; 0.1</td></tr></tbody></table><p>Values are presented as mean + SEM using two-way ANOVA followed by the Bonferroni multiple-comparison test. *p&lt;0,005; &ldquo;a&rdquo;: compared to CC, &ldquo;b&rdquo;: compared to CH; &ldquo;c&rdquo;: compared to HC; &ldquo;d&rdquo;: compared to HH.</p>

opencc-by-4.0Dec 2022View details →
zenodo36/100

Table 2 in Obtainment and characterization of digestive aspartic proteases from the fish Caranx hippos (Linnaeus, 1766)

<p><b>Table 2.</b> Effect of enzyme inhibitors and metal ions on the proteolytic activity of EE.</p><table><tbody><tr><th><b>Chemical Agent</b></th><th><b>Residual Activity (%)</b></th><th><b>Inhibition (%)</b></th></tr></tbody><tbody><tr><th>Control</th><td>100 &plusmn; 4.19a*</td><td>0</td></tr><tr><th>DTT</th><td>104 &plusmn; 3.25b</td><td>0</td></tr><tr><th>Pepstatin A</th><td>0c</td><td>100</td></tr><tr><th>Pb2+</th><td>85 &plusmn; 0.10d</td><td>15</td></tr><tr><th>Mg2+</th><td>87 &plusmn; 3.35e</td><td>13</td></tr><tr><th>Al3+</th><td>89 &plusmn; 1.20f</td><td>11</td></tr><tr><th>Mn2+</th><td>90 &plusmn; 2.05g</td><td>10</td></tr><tr><th>K+</th><td>91 &plusmn; 2.55h</td><td>9</td></tr><tr><th>Hg2+</th><td>94 &plusmn; 0.72i</td><td>6</td></tr><tr><th>Cd2+</th><td>97 &plusmn; 2.16j</td><td>3</td></tr><tr><th>Cu2+</th><td>98 &plusmn; 5.51k</td><td>2</td></tr><tr><th>Ca2+</th><td>101 &plusmn; 1.08l</td><td>0</td></tr></tbody></table>

opencc-by-4.0Dec 2022View details →
zenodo36/100

Table 3 in Potential neuroprotective of trans-resveratrol a promising agent tempeh and soybean seed coats-derived against beta-amyloid neurotoxicity on primary culture of nerve cells induced by 2 - methoxyethanol

<p><b>Table 3.</b> Cytotoxic effect of various concentrations of Resveratrol and 2-Methoxyethanol Against Primary Neuron cell viability in MTT assay (540 nm).</p><table><tbody><tr><th><b>% Inhibition</b></th></tr></tbody><tbody><tr><th><b>Concentration of 2-Methoxyethanol</b></th><td><b>2-ME (10mM)</b></td><td><b>2-ME (10mM)</b></td><td><b>2-ME (10mM)</b></td></tr><tr><th><b>and Resveratrol</b></th><td><b>Resveratrol (Standard)</b></td><td><b>Resveratrol (Tempeh)</b></td><td><b>Resveratrol (Soybean Seed Coat)</b></td></tr><tr><th>IC50</th><td>(17.64 &plusmn; 0.99 &micro;g/mL)</td><td>(32.22 &plusmn; 1.18 &micro;g/mL)</td><td>(17.43 &plusmn; 0.16 &micro;g/mL)</td></tr><tr><th>1.4 (&micro;g/mL)</th><td>11.8</td><td>0</td><td>7.95</td></tr><tr><th>2.8 (&micro;g/mL)</th><td>5.27</td><td>0</td><td>14.41</td></tr><tr><th>4.2 (&micro;g/mL)</th><td>0</td><td>0</td><td>0</td></tr></tbody></table>

opencc-by-4.0Dec 2022View details →
zenodo36/100

Table 3 in Phytochemical characterization, and antioxidant and antibacterial activities of the hydroethanolic extract of Anadenanthera peregrina stem bark

<p><b>Table 3.</b> Diameter of the inhibitory zone of the hydroethanolic extract of <i>Anadenanthera peregrina</i> stem bark against <i>Staphylococcus aureus</i> (ATCC 25923) and <i>Escherichia coli</i> (ATCC 25922).</p><table><tbody><tr><th></th><th><b>A. peregrina extract concentration</b></th><th></th><th></th></tr></tbody><tbody><tr><th><b>Strain</b></th><td></td><td></td><td></td><td><b>C +</b></td><td><b>C -</b></td></tr><tr><th></th><td><b>50 &micro;L</b></td><td><b>100 &micro;L</b></td><td><b>200 &micro;L</b></td><td></td><td></td></tr><tr><th><i>E. coli</i></th><td>-</td><td>-</td><td>-</td><td>29 mm</td><td>-</td></tr><tr><th><i>S. aureus</i></th><td>10 mm</td><td>16 mm</td><td>20 mm</td><td>35 mm</td><td>-</td></tr></tbody></table>

opencc-by-4.0Dec 2022View details →
zenodo36/100

Table 1 in Perinatal exposure to a high-fat diet alters proopiomelanocortin, neuropeptide Y and dopaminergic receptors gene expression and the food preference in offspring adult rats

<p><b>Table 1.</b> Experimental design. The rats were fed commercial standard diet for rodents control diet or high-fat diet during pregnancy, lactation and post-weaning (up to 100 days of life).During the feeding period, rats consumed both diets (control diet and high-fat diet). The numbers in parentheses indicate the animals number in each nutritional group.</p><table><tbody><tr><th><b>Experimental Design</b></th></tr></tbody><tbody><tr><th><b>Genitors (n)</b></th><td><b>Gestation and lactation</b></td><td><b>Offspring during lactation (n)</b></td><td><b>Offspring (n)</b></td><td><b>Post-weaning (21-100&deg; life&rsquo;s day)</b></td><td><b>Food preference (102-116&ordm; life&rsquo;s day)</b></td></tr><tr><th></th><td></td><td></td><td>CC (12)</td><td>Control diet</td><td>Control diet</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td>High-fat diet</td></tr><tr><th>GC (5)</th><td>Control diet</td><td>C (23)</td><td>CH (11)</td><td>High-fat diet</td><td>Control diet</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td>High-fat diet</td></tr><tr><th></th><td></td><td></td><td>HC (11)</td><td>Control diet</td><td>Control diet</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td>High-fat diet</td></tr><tr><th>GH (5)</th><td>High-fat diet</td><td>H (23)</td><td>HH (12)</td><td>High-fat diet</td><td>Control diet</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td>High-fat diet</td></tr></tbody></table>

opencc-by-4.0Dec 2022View details →
zenodo36/100

Table 2 in Phytochemical characterization, and antioxidant and antibacterial activities of the hydroethanolic extract of Anadenanthera peregrina stem bark

<p><b>Table 2.</b> Physicochemical properties,antioxidant activity,and total phenolic content of the hydroethanolic extract of <i>A.peregrina</i> stem bark.</p><table><tbody><tr><th>Sample</th><th>pH</th><th>Density (g cm 3)</th><th>DPPH (IC 50)</th><th><b>Total Phenolics (g GAE 100 g-</b> 1)</th></tr></tbody><tbody><tr><th><b>A. peregrina extract</b></th><td>5.21 &plusmn; 0.01</td><td>0.956</td><td>44.13 mg mL-1</td><td>6.40 &plusmn; 0.08</td></tr></tbody></table>

opencc-by-4.0Dec 2022View details →
zenodo36/100

Table 1 in Phytochemical characterization, and antioxidant and antibacterial activities of the hydroethanolic extract of Anadenanthera peregrina stem bark

<p><b>Table 1.</b> Phytochemical prospecting of the main secondary metabolite groups of the hydroethanolic extract of <i>A. peregrina</i> stem bark.</p><table><tbody><tr><th><b>Secondary metabolite</b></th><th><b>Hydroethanolic extract of A. peregrina</b></th></tr><tr><th><b>Cardiac glycosides</b></th></tr></tbody><tbody><tr><th>Kedd reagent test</th><td>++</td></tr><tr><th>Keller&ndash;Kiliani reagent test</th><td>++</td></tr><tr><th>Baljet reagent test</th><td>-</td></tr><tr><th>Raymond&ndash;Marthoud reagent test</th><td>+++</td></tr><tr><th><b>Alkaloids</b></th></tr><tr><th>Libermann&ndash;Bouchardat reagent test</th><td>-</td></tr><tr><th>Wagner reagent test</th><td>-</td></tr><tr><th>Mayer&rsquo;s reagent test</th><td>-</td></tr><tr><th><b>Organic acids</b></th></tr><tr><th>Pascov&aacute; reagent test</th><td>++</td></tr><tr><th><b>Reducing sugars</b></th></tr><tr><th>Fehling reagent test</th><td>++</td></tr><tr><th><b>Non-reducing sugars</b></th></tr><tr><th>Fehling + HCl test</th><td>-</td></tr><tr><th><b>Coumarins</b></th></tr><tr><th>UV light 254 and 365 nm</th><td>+</td></tr><tr><th><b>Saponins</b></th></tr><tr><th>Foamy</th><td>-</td></tr><tr><th>Haemolytic</th><td>+++</td></tr><tr><th><b>Polysaccharides</b></th></tr><tr><th>Reactive lugol</th><td>-</td></tr><tr><th><b>Phenols</b></th></tr><tr><th>FeCl 3 <b>Tannins</b></th><td>+++</td></tr><tr><th>FeCl3 <b>Flavonoids</b></th><td>Gr</td></tr><tr><th>Pb(C2 H 3O2)2</th><td>++</td></tr><tr><th><b>Purines</b></th><td><b>-</b></td></tr><tr><th><b>Catechins</b></th><td>+++</td></tr><tr><th><b>Benzoquinone derivatives</b></th><td>+++</td></tr><tr><th><b>Depsids and depsidones</b></th><td>+++</td></tr><tr><th><b>Steroids and triterpenoids</b></th><td><b>-</b></td></tr><tr><th><b>Sesquiterpenolactones</b></th><td>-</td></tr></tbody></table>

opencc-by-4.0Dec 2022View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.