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Table 3 in Characterization of Crude and Biodiesel Oils of Jatropha curcas and Calophyllum inophyllum in Guam
<p>Table 3. Composition of fatty acid methyl esters (FAMEs) of crude oil and biodiesel obtained from jatropha (<i>Jatropha curcas</i>) and da’ok (<i>Calophyllum inophyllum</i>) and cetane number.</p><table><thead><tr><th></th><th></th><th>Jatropha</th><th></th><th></th><th>Da’ok</th><th></th></tr></thead><tbody><tr><th>Fatty acid methyl ester *</th><td>Crude Oil Weight %)</td><td>%) (</td><td>Biodiesel (Weight %)</td><td>Crude Oil (Weight %)</td><td>) (</td><td>Biodiesel (Weight %)</td></tr><tr><th>Palmitate (C16:0)</th><td>11.8</td><td></td><td>16.7</td><td>14.6</td><td></td><td>16.8</td></tr><tr><th>Stearate (C18:0)</th><td>6.5</td><td></td><td>8.6</td><td>12.0</td><td></td><td>14.6</td></tr><tr><th>Oleate (C18:1)</th><td>47.5</td><td></td><td>52.6</td><td>40.5</td><td></td><td>43.5</td></tr><tr><th>Linoleate (C18:2)</th><td>34.2</td><td></td><td>22.0</td><td>32.8</td><td></td><td>25.1</td></tr><tr><th>Cetane number</th><td>49.0</td><td></td><td>52.7</td><td>51.6</td><td></td><td>54.1</td></tr></tbody></table><p>* Laurate (C12:0), myristate (C14:0), and linolenate (C18:3) were not detected from the samples.</p>
Table 1 in Characterization of Crude and Biodiesel Oils of Jatropha curcas and Calophyllum inophyllum in Guam
<p>Table 1. Characterization of crude oils of <i>Jatropha</i>, <i>Calophyllum</i>, and <i>Cocos nucifera</i> from Hawaii, Mariana islands, and Micronesian islands. unpublished data, from a study supported by the US Department of Transportation, Office of the Secretary, Grant No. - -G-)</p><table><thead><tr><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th>Emissions</th><th>Emissions</th></tr></thead><tbody><tr><th></th><td></td><td>Physical</td><td></td><td>Heating</td><td></td><td></td><td>Moisture</td><td>Iodine</td><td></td><td>Did it</td><td>Test of</td><td>Test of</td></tr><tr><th></th><td></td><td>state at</td><td></td><td>content</td><td>Saponification</td><td>Acid value</td><td>content</td><td>value mg</td><td>Cetane</td><td>transesterify</td><td>biodiesel-</td><td>biodiesel-</td></tr><tr><th>Feedstock</th><td>Location</td><td>room temp.</td><td>Color</td><td>(J/g)</td><td>value mgKOH/g</td><td>mgKOH/g</td><td>%</td><td>iodine/g</td><td>number</td><td>into biodiesel?</td><td>IM240*</td><td>Idel*</td></tr><tr><th><i>Jatropha</i></th><td>Kula, Maui</td><td></td><td>Clear gold</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><th><i>curcas</i></th><td>Hawaii</td><td>Liquid</td><td>/yellow</td><td>43039.3</td><td>191.0</td><td>0.7</td><td>0.12</td><td>109</td><td>50.3</td><td>Yes</td><td>Yes</td><td>Yes</td></tr><tr><th></th><td>Poamoho,</td><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></th><td>Oahu, Hawaii</td><td></td><td>Deep</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><th></th><td></td><td>Liquid</td><td>gold/yellow</td><td>43953.4</td><td>192.9</td><td>3.9</td><td>0.10</td><td>100</td><td>52.1</td><td>Yes</td><td>Yes</td><td>Yes</td></tr><tr><th></th><td>Guam,</td><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></th><td>Mariana Is.</td><td>Liquid</td><td>Brown/gold</td><td>43276.1</td><td>192.7</td><td>1.8</td><td>0.10</td><td>91</td><td>54.1</td><td>Yes</td><td>Yes</td><td>Yes</td></tr><tr><th><i>Calophyllum</i></th><td>Saipan,</td><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><i>inophyllum</i></th><td>Mariana Is.</td><td>Solid</td><td>Dark green</td><td>36489.5</td><td>153.3</td><td>85.5</td><td>0.10</td><td>104</td><td>58.6</td><td>No</td><td>No</td><td>No</td></tr><tr><th></th><td>Saipan,</td><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></th><td>Mariana Is.</td><td>Liquid</td><td>Dark green</td><td>38661.6</td><td>164.5</td><td>48.0</td><td>0.18</td><td>95</td><td>58.0</td><td>No</td><td>No</td><td>No</td></tr><tr><th colspan="13">Rota,</th></tr><tr><th></th><td>Mariana Is.</td><td>Liquid</td><td>Dark green</td><td>38640.1</td><td>159.7</td><td>38.4</td><td>0.16</td><td>89</td><td>60.4</td><td>Yes</td><td>Yes</td><td>Yes</td></tr><tr><th></th><td>Guam,</td><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></th><td>Mariana Is.</td><td>Liquid</td><td>Dark green</td><td>41887.1</td><td>193.2</td><td>38.8</td><td>0.10</td><td>87</td><td>55.0</td><td>Yes</td><td>Yes</td><td>Yes</td></tr><tr><th><i>Cocos nucifera</i></th><td>Saipan,</td><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></th><td>Mariana Is.</td><td>Solid/liquid</td><td>Tan/brown</td><td>37511.5</td><td>214.3</td><td>4.3</td><td>0.16</td><td>6</td><td>70.5</td><td>Yes</td><td>Yes</td><td>Yes</td></tr><tr><th></th><td>Tinian,</td><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></th><td>Mariana Is.</td><td>Solid</td><td>White</td><td>37628.2</td><td>212.3</td><td>4.1</td><td>0.10</td><td>6</td><td>70.6</td><td>Yes</td><td>Yes</td><td>Yes</td></tr><tr><th></th><td>Rota,</td><td></td><td>Pale</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><th></th><td>Mariana Is.</td><td>Solid</td><td>cream/ivory</td><td>37585.4</td><td>213.1</td><td>2.4</td><td>0.10</td><td>7</td><td>70.4</td><td>Yes</td><td>Yes</td><td>Yes</td></tr><tr><th></th><td>,</td><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></th><td>Sapwitik 1</td><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></th><td>Micronesia</td><td>Solid</td><td>White</td><td>41401.7</td><td>261.5</td><td>2.4</td><td>0.10</td><td>6</td><td>65.9</td><td>Yes</td><td>Yes</td><td>Yes</td></tr><tr><th></th><td>,</td><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 colspan="13">Sapwitik 2</th></tr><tr><th></th><td>Micronesia</td><td>Solid</td><td>White</td><td>37435.6</td><td>267.7</td><td>1.0</td><td>0.12</td><td>6</td><td>65.3</td><td>Yes</td><td>Yes</td><td>Yes</td></tr><tr><th></th><td>,</td><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 colspan="13">Pehleng</th></tr><tr><th></th><td>Micronesia</td><td>Solid</td><td>White</td><td>37254.2</td><td>261.8</td><td>0.5</td><td>0.10</td><td>6</td><td>65.9</td><td>Yes</td><td>Yes</td><td>Yes</td></tr><tr><th></th><td>Kosrae, Utwe</td><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></th><td>Micronesia</td><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></th><td></td><td>Solid</td><td>White</td><td>41230.6</td><td>265.0</td><td>3.1</td><td>0.14</td><td>7</td><td>65.3</td><td>Yes</td><td>Yes</td><td>Yes</td></tr><tr><th></th><td>Kosrae,</td><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 colspan="13">Tafunsa</th></tr><tr><th></th><td>Micronesia</td><td>Solid</td><td>White</td><td>41277.9</td><td>267.7</td><td>1.5</td><td>0.14</td><td>7</td><td>65.3</td><td>Yes</td><td>Yes</td><td>Yes</td></tr></tbody></table>
Table 2 in Characterization of Crude and Biodiesel Oils of Jatropha curcas and Calophyllum inophyllum in Guam
<p>Table 2. Characterization of Jatropha curcas (jatropha) and Calophyllum inophyllum (da’ok) crude oils in this experiment. Values are averages of triplicate runs.</p><table><thead><tr><th></th><th>Crude oil of jatropha</th><th>Crude oil of da’ok</th><th>p-value (t-test)</th></tr></thead><tbody><tr><th>Calorific value (J/g)</th><td>42187.5</td><td>40910.4</td><td>0.0045*</td></tr><tr><th>Iodine value (mg iodine/g)</th><td>82.9</td><td>84.9</td><td>0.525 ns</td></tr><tr><th>Peroxide value (<i>u</i> g/g)</th><td>2.59</td><td>13.12</td><td><0.0001 ***</td></tr><tr><th>Saponification value (mg KOH/g)</th><td>183.9</td><td>200.2</td><td>0.1483ns</td></tr><tr><th>Acid value (mg KOH/g)</th><td>0.7</td><td>28.1</td><td><0.0001 ***</td></tr><tr><th>Moisture (%)</th><td>0.035</td><td>0.061</td><td>0.0246 *</td></tr></tbody></table><p>*, *** and ns mean significant at 0.05, 0.001 level and nonsignificant, respectively.</p>
Table 3 in Molecular characterization of the re-emerging West Nile virus in avian species and equids in Israel, 2018, and pathological description of the disease
<p><b>Table 3</b> Details and calculated viral genome copies of WNF-positive equids</p><table><thead><tr><th>Animal no.</th><th>Species</th><th>Date</th><th>Location</th><th>Tissues tested and calculated target copies per reaction</th><th>Comments</th></tr></thead><tbody><tr><th>Eq111 324085</th><td>Horse 1 (2-years-old)</td><td>18 June 2018</td><td>Kfar Shmu’el</td><td>Spleen: negative; brain: 2290</td><td>Euthanized</td></tr><tr><th>Eq115 325209</th><td>Donkey 1 (30-years-old)</td><td>18 July 2018</td><td>Gan Yoshyia</td><td>Brain: 550; spinal cord, CSF,spleen: all negative</td><td>Euthanized</td></tr><tr><th>Eq117 325903</th><td>Horse 2 (11-years-old)</td><td>18 July 2018</td><td>Kfar Truman</td><td>Cerebellum: 550; medulla: 4670; cervical spinal cord: 1990; thoracic spinal cord: 310;lumbar spinal cord: 680; spleen: negative; serum: negative</td><td>Euthanized</td></tr><tr><th>Eq142 333326</th><td>Horse 3 (20- years-old)</td><td>18 October 2018</td><td>Kfar Sirkin</td><td>NS2A probe: cerebellum: 4000; medulla: 56,400</td><td>Euthanized</td></tr></tbody></table>
Novel Endpoint Characterization Factors for Life Cycle Impact Assessment of Terrestrial Acidification
<p>This repository contains Excel files with the characterization factorsand the soil response factors for the publication entitled "Novel Endpoint Characterization Factors for Life Cycle Impact Assessment of Terrestrial Acidification", published in the "Journal of Ecological Indicators" .<br><br></p> <p>Content:</p> <p><strong>Datasets.zip</strong> is an folder containing the following Excel files: </p> <ul> <li><strong>CF_Terrestrial_Acidification_2024-08-01.xlsx</strong> with the following sheets <ul> <li><em>Dataframe</em> gathering terrestrial acidification marginal endpoint CF [PDF.yr/kg_emitted] values at country level (with the world average value), for 3 acidifying substances (NOx, NHx, SOx) at global and regional impact scales (with and without the inclusion of the Global Extinction Probability - GEP - respectively)</li> <li><em>Calc Info</em> summing up calculation informations</li> <li><em>Calc Table</em> registering input parameters used to run the calculations leading to the <em>Dataframe</em> sheet (substance used, original and adapted resolutions for emission and deposition compartments, resolutions for each CF components and spatial transformations, GEP normalization method)</li> </ul> </li> <li><strong>RF_NO3_2024-03-27.xlsx</strong> with the following sheet:<br> <ul> <li><em>RFs</em> containing the soil response values [(molH+ / L).(yr / kg_dep)] at ecoregion level (referred to as "idTarget") for a marginal increase of 10% in NO3 deposition rate. It also gathers the intermediate results leading the final RFs (sustances' deposition rates, reference and post-deposition increase pHs) </li> </ul> </li> <li><strong>RF_NH4_2024-03-25.xlsx</strong> with the following sheet:<br> <ul> <li><em>RFs</em> containing the soil response values [(molH+ / L).(yr / kg_dep)] at ecoregion level (referred to as "idTarget") for a marginal increase of 10% in NH4 deposition rate. It also gathers the intermediate results leading the final RFs (sustances' deposition rates, reference and post-deposition increase pHs)</li> </ul> </li> <li><strong>RF_SO4_2024-03-25.xlsx</strong> with the following sheet:<br> <ul> <li><em>RFs</em> containing the soil response values [(molH+ / L).(yr / kg_dep)] at ecoregion level (referred to as "idTarget") for a marginal increase of 10% in SO4 deposition rate. It also gathers the intermediate results leading the final RFs (sustances' deposition rates, reference and post-deposition increase pHs)</li> </ul> </li> </ul>
High-resolution spectral characterization of YSES 1 system with VLT/CRIRES+
<p>This repository contains the extracted spectra of YSES 1 and its super-Jovian companions b and c observed with the high-resolution spectrograph VLT/CRIRES+ (R~100,000). The paper from <a href="https://doi.org/10.3847/1538-3881/ad7ea9">Zhang et al. (2024)</a> provides more details of the data analyses. </p>
IntelliMan_WP5_Grasping, Manipulation and Arm-Hand Coordination_T5.1_Data Fusion and Sensing Technology_characterization of sensing system for grippers_v0
<p><span>The dataset contain the data acquired from the multi-sensorized fingers developed in T5.1 and integrated into grippers used in IntelliMan UC3 and UC4. The data contain tactile data, proximity data and endoscopic camera data for the evaluation of sensor performance with respect to IntelliMan use cases requirements.</span></p>
Table 1 in Molecular characterization and protective efficacy of a new conserved hypothetical protein of Eimeria tenella
<p><b>Table 1.</b> Protective effect of r <i>Et</i> CHP protein on <i>E. tenella</i> infection.</p><table><tbody><tr><th>Group</th><th>Average body</th><th>Mean lesion scores</th><th>Oocyst shedding</th><th>Percentage reduction</th></tr></tbody><tbody><tr><th></th><td>weight gains (g)</td><td></td><td>per bird (<i>×</i> 10 7)</td><td>of oocyst excretion (%)</td></tr><tr><th>Unchallenged control</th><td>258.62 ± 70.26c</td><td>0.00 ± 0.00a</td><td>0.00 ± 0.00a</td><td>100d</td></tr><tr><th>Challenged control</th><td>180.87 ± 45.38a</td><td>3.20 ± 0.83c</td><td>4.43 ± 0.99c</td><td>0.00a</td></tr><tr><th>r <i>Et</i> CHP-50 <b>μ</b> g</th><td>226.25 ± 24.47b</td><td>1.75 ± 0.95b</td><td>2.10 ± 0.88b</td><td>54.07 ± 11.76c</td></tr><tr><th>r <i>Et</i> CHP-100 <b>μ</b> g</th><td>235.25 ± 23.44bc</td><td>1.20 ± 0.44b</td><td>3.26 ± 2.47bc</td><td>31.99 ± 29.35b</td></tr></tbody></table><p><sup>a–d</sup> Values with different letters in the same column are significantly different (<i>P</i> <0.05) according to the ANOVA Duncan test.</p>
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 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>
Dataset for the publication: Synthesis, Characterization and Interconversion of p-Tolylsulfone-Functionalized Norbornadiene/Quadricyclane Couples
<p>Overview of all collected data used for the publication "Synthesis, Characterization and Interconversion of p-Tolylsulfone-Functionalized Norbornadiene/Quadricyclane Couples" in the journal Chemistry - A European Journal.</p>
Accompanying data for the paper "Experimental characterization of material strain-rate dependence based on full-field Data-Driven Identification"
<p>Experimental Data accompanying the paper "Experimental characterization of material strain-rate dependence based on full-field Data-Driven Identification" <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.ijimpeng.2024.105083" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.ijimpeng.2024.105083</a></p> <p>One (holed and double notched) specimen is dynamically loaded via an hydraulic tensile test machine (MTS-819, 20 kN) at 5 m/s. The specimen were cut from a 0.8 mm-thick DC04 (XES French standards) sheet in the rolling direction provided by ONERA. Reference image is captured using a high definition camera (29 Mpix, Prosilica GT from Stemmer) combined with the same objective lens than the one used for experiments. Deformed sample images are captured using the rotating mirror Ultra-high speed (HR-UHS) Cordin camera Model 580 at 68 kfps with a resolution of 3296 x 2472 pixels. The field of view is 35.8mm x 47.9mm leading to a pixel size of 14.49um. Ufreckles <a href="https://doi.org/10.5281/zenodo.1433776">10.5281/zenodo.1433775</a> is used to perform FE-based DIC using T3P1 linear triangular elements and a Tikhonov regularisation (over 3 elements). Eventually, kinematic data and load measurement are used to identify stress fields via Data-Driven stress Identification (DDI) method.</p> <p>Are provided:</p> <ul> <li>raw images, camera distortion modes and parameters, load net force and timeline</li> <li>kinematic fields obtained from Digital Image Correlation</li> <li>Stress fields identified using Data-Driven stress Identification</li> </ul> <p>Matlab Codes to produce results (working with Ufreckles)</p> <ul> <li>MultiSensor_DIC_script.m: in /Codes/ is the main script to run DIC</li> <li>Shape functions: in /Codes/shape_functions/ containing Zernike polynomial shape functions and deconvolution algorithm to get effective displacement from total displacement knowing camera distortions</li> </ul> <p> </p>
A hermetically closed sample chamber enables time-lapse nano-characterization of pathogenic microorganisms in-vitro
<p>Videos showing <span>biosafety compliance of sample chamber (airtightness and liquid leakproof tests) </span></p>
Characterizing and targeting glioblastoma neuron-tumor networks with retrograde tracing
<h2>Dataset</h2> <p>Space ranger output (Visium platform) of two human slice culture samples (S1 & S2) injected with GBstarter cells (<span><span>Tetzlaff et al., 2024</span></span>). </p>
Supplementary data to: Characterizing regional oceanography and bottom environmental conditions at two contrasting sponge grounds on the northern Labrador Shelf.
<p>Supplementary data to the article: </p> <p><strong>Characterizing regional oceanography and bottom environmental conditions at two contrasting sponge grounds on the northern Labrador Shelf.</strong></p> <p> </p> <p> </p> <p>Published in Biogeosciences in 2024: https://bg.copernicus.org/articles/21/5407/2024/</p> <p><a href="https://bg.copernicus.org/articles/21/5407/2024/">BG - Characterizing regional oceanography and bottom environmental conditions at two contrasting sponge grounds on the northern Labrador Shelf</a></p> <p>DOI : https://doi.org/10.5194/bg-21-5407-2024</p> <p>Abstract: </p> <p>Deep-sea sponge grounds are distributed globally and are considered hotspots of biological diversity and biogeochemical cycling. To date, little is known about the environmental conditions that allow high sponge biomass to develop in the deep sea. Here, we characterize oceanographic conditions at two contrasting sites off the northern Labrador Shelf with high- and low-sponge-biomass. Data were collected by year-long benthic lander deployments equipped with current meters, a turbidity and chlorophyll-<em>a</em> measuring device, and a sediment trap. Additionally, regional oceanography was described by analyzing vertical conductivity-temperature-depth (CTD) casts, Argo float profiles, and surface buoy drifter data for the northern Labrador Shelf from 2005 to 2022. Stable isotopic composition of benthic fauna was determined to investigate food web structure at the sponge grounds. Our results revealed strong (0.26 ± 0.14 m s<sup>-1</sup>; mean ± SD) semidiurnal tidal currents at the high-sponge-biomass site, but twofold weaker currents (0.14 ± 0.08 m s<sup>-1</sup>; mean ± SD) at the low-sponge-biomass site. Tidal analysis suggests that, at the high-sponge-biomass site, kinetic energy is dissipated from barotropic tide to baroclinic tide/turbulence, which could enhance food availability for benthic organisms. Bottom nutrient concentrations were elevated at the high-sponge-biomass site which would benefits growth in deep-sea sponges. Organic matter flux to the seafloor was increased at the high-sponge-biomass site and consisted of fresher material. Finally, both sponge grounds demonstrated tight benthic-pelagic coupling prior to the onset of stratification. Stable isotope signatures indicated that soft corals (<em>Primnoa resedaeformis</em>) fed on suspended particulate organic matter, while massive sponges (<em>Geodia</em> spp.) likely utilized additional food sources. Our results imply that benthic fauna at the high-sponge-biomass site benefit from strong tidal currents, which increases food supply, and favourable regional ocean currents that increase nutrient concentration in bottom waters.</p>
Characterization of DNA methylation reader proteins of Arabidopsis thaliana
<p>Genomic regions of interest from the study "Characterization of DNA methylation reader proteins of Arabidopsis thaliana". </p>
Characterization of bakuchiol-β-cyclodextrin inclusion complexes and their pH-dependent formation
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Characterizing the spatial correlation of coseismic slip distributions: A data driven Bayesian approach
<p>Slip models for the simulated case and the Illapel earthquake are provided. The zip file contains processed data, predictions, and uncertainty estimates for the Illapel event.</p>
Characterization results and synthesis parameters of ZIF-8
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Allen Brain Atlas
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International Brain Laboratory public data
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