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Text-fig. 6. Photo of cave lion lower premolar p4 root cut. The approximate age of individual is 9.5 years (No 3 in Tabs 6, 7). The thin layers on the edge of root are the dental cement increments; number 1 marks winter increment, number 2 marks summer increment. Photo by M. Nývltová Fišáková. in The Mammalian Fauna Of Barová Cave (Moravian Karst, The Czech Republic)
Text-fig. 6. Photo of cave lion lower premolar p4 root cut. The approximate age of individual is 9.5 years (No 3 in Tabs 6, 7). The thin layers on the edge of root are the dental cement increments; number 1 marks winter increment, number 2 marks summer increment. Photo by M. Nývltová Fišáková.
All NanoPUZZLES ISA-TAB-Nano datasets
<p>This file is a ZIP archive which contains ALL publicly released ISA-TAB-Nano datasets developed within the NanoPUZZLES EU project [http://www.nanopuzzles.eu]. The (meta)data in these datasets were extracted from literature references.</p> <p>These datasets are also available via FigShare (see below). ****Any necessary updates, e.g. to correct errors not spotted during the review of the datasets within the NanoPUZZLES project prior to their being released, will be uploaded to FigShare and the changes documented in the FigShare dataset descriptions. This Zenodo entry corresponds to the original publicly released versions of these datasets.****</p> <p>*****Before working with these datasets, you are strongly advised to read the following text - especially the "Disclaimers".*****</p> <p><br /> ISA-TAB-Nano [1,2,3] has been proposed as a nanomaterial data exchange standard. As is explained in the README file contained within each dataset, as well as the "Investigation Description" field of the Investigation file regarding dataset specific deviations, the manner in which certain data and metadata were recorded within these datasets deviates from the expectations of the generic ISA-TAB-Nano specification. Marchese Robinson et al. [3], distributed within each dataset, discusses this in more detail. However, some additional new business rules, going beyond those described in Marchese Robinson et al. [3], may also have been applied to each dataset - as documented in the README file.</p> <p>Each dataset was developed using Excel-based templates developed in the NanoPUZZLES project [4]. (N.B. The latest version of the templates, at the time of writing, was version 4 as opposed to version 3 which was described in Marchese Robinson et al. [3]. This latest version of the templates should be contained within the README file of each dataset.) Since these templates were iteratively updated, not all datasets may be perfectly consistent with the latest version - although efforts were made to minimise inconsistencies.</p> <p>The three copies of each dataset contained within each individual [DATASET ID]_all_copies.zip are as follows:<br /> (a) [DATASET ID].zip: the original dataset prepared within Excel<br /> (b) [DATASET ID]-txt_opt-N.zip: a tab-delimited text version of each dataset prepared using version 2.0 of the cited Python program [5], with the -N flag selected (designed to minimise inconsistencies with the latest version of the NanoPUZZLES templates)<br /> (c) [DATASET ID]-txt_opt-a_opt-c_opt-N.zip: a tab-delimited text version of each dataset prepared using version 2.0 of the cited Python program [5], with the -N, -a (truncate ontology IDs) and -c (remove Investigation file comments) flags selected, as required for submission to the nanoDMS online database system [3,6]. </p> <p>The original datasets prepared in Excel were prepared via manual curation. In some cases, it was necessary to extract data from graphs. In some cases, the GSYS software program was employed to facilitate estimation of the values of numerical data points reported in graphs [7,8].</p> <p><br /> Disclaimers:</p> <p>(1) this work has not undergone peer review<br /> (2) no endorsement by third parties should be inferred<br /> (3) *You are strongly advised to read the README file and the "Investigation Description" field of the Investigation file before working with anyone of these datasets. The latter field may document dataset specific caveats such as possible problems or uncertainties associated with curation from the original reference(s). *Other such comments may be found in Study, Material or Assay file "Comment" fields.</p> <p>Cited references:<br /> [1] Thomas, D.G. et al. BMC Biotechnol. 2013, 13, 2. doi:10.1186/1472-6750-13-2<br /> [2] https://wiki.nci.nih.gov/display/ICR/ISA-TAB-Nano (accessed 18th of December 2015)<br /> [3] Marchese Robinson, R.L. et al. Beilstein J. Nanotechnol. 2015, 6, 1978–1999. doi:10.3762/bjnano.6.202<br /> [4] http://www.myexperiment.org/files/1356.html (accessed 18th of December 2015)<br /> [5] https://github.com/RichardLMR/xls2txtISA.NANO.archive (accessed 18th of December 2015)<br /> [6] http://biocenitc-deq.urv.cat/nanodms (accessed 18th of December 2015)</p> <p>[7] http://www.jcprg.org/gsys/2.4/ (last accessed 11th of April 2016)</p> <p>[8] R. Suzuki, "Introduction, Design and Implementation of Digitization Software GSYS", IAEA Report INDC(NDS)-0629, p. 19, IAEA, Vienna, Austria (2013)</p> <p>FigShare versions:</p> <p>https://figshare.com/articles/NanoPUZZLES_ISA_TAB_Nano_dataset_Cytotoxicity_and_some_physicochemical_data_reported_by_Wang_et_al_2014_DOI_10_3109_17435390_2013_796534_/2056140</p> <p>https://figshare.com/articles/NanoPUZZLES_ISA_TAB_Nano_dataset_Zebrafish_mortality_and_basic_nanomaterial_composition_data_extracted_from_Kovriznych_et_al_2013_doi_10_2478_intox_2013_0012_/2056137</p> <p>https://figshare.com/articles/NanoPUZZLES_ISA_TAB_Nano_dataset_Physicochemical_and_in_vitro_cytotoxicity_data_LDH_membrane_damage_extracted_from_Sayes_and_Ivanov_2010_DOI_10_1111_j_1539_6924_2010_01438_x_/2056134</p> <p>https://figshare.com/articles/NanoPUZZLES_ISA_TAB_Nano_dataset_Cytotoxicity_and_physicochemical_data_for_nanomaterials_extracted_from_Murdock_et_al_2008_DOI_10_1093_toxsci_kfm240_/2056131</p> <p>https://figshare.com/articles/NanoPUZZLES_ISA_TAB_Nano_dataset_Data_reported_in_Shaw_et_al_2008_DOI_10_1073_pnas_0802878105_/2056128</p> <p>https://figshare.com/articles/NanoPUZZLES_ISA_TAB_Nano_dataset_Data_extracted_from_Puzyn_et_al_2011_DOI_10_1038_NNANO_2011_10_/2056125</p> <p>https://figshare.com/articles/NanoPUZZLES_ISA_TAB_Nano_dataset_Toxicity_and_physicochemical_data_extracted_from_Zhang_et_al_2012_DOI_10_1021_nn3010087_/2056122</p> <p>https://figshare.com/articles/NanoPUZZLES_ISA_TAB_Nano_dataset_Curation_of_carbon_nanotubes_experimental_data_reported_by_Zhou_et_al_2008_DOI_10_1021_nl0730155_supplemented_with_carbon_nanotubes_structure_files_3D_SDF_created_according_to_the_approach_described_by_Shao_et_al_/2056110</p> <p>https://figshare.com/articles/NanoPUZZLES_ISA_TAB_Nano_dataset_C60_fullerene_nanoparticle_Ames_test_and_in_vivo_micronucleus_data_extracted_from_Shinohara_et_al_2009_DOI_10_1016_j_toxlet_2009_09_012_/2056104</p> <p>https://figshare.com/articles/NanoPUZZLES_ISA_TAB_Nano_dataset_Data_extracted_from_NanoCare_project_final_scientific_report/2056095</p> <p><br /> Funding:</p> <p>The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/ 2007-2013) under grant agreement no. 309837 (NanoPUZZLES project).</p>
Using photodiodes and supervised Machine Learning for automatic classification of weld defects in laser welding of thin foils copper-to-steel battery tabs
<p>In this folder, excel files are stored with the results of signal processing that supported findings in the following paper:</p> <p>"Using photodiodes and supervised Machine Learning for automatic classification of weld defects in laser welding of thin foils copper-to-steell battery tabs".</p> <p>Matlab scripts and orginal signals will be uploaded soon with more detailed description.</p> <p> </p>
1943 Albert Hoffman bicycle LSD sheet and tab
Classic 1943 Albert Hoffman bicycle acid LSD sheet and tab Didn't see anything similar on the website, so had to make this and might as well upload it since I like it. Source: Objaverse 1.0 / Sketchfab
SORUBIM Caparary Tab XIII in Selecta genera et species piscium quos in itinere per Brasiliam annis MDCCCXVII-MDCCCXX jussu et auspiciis Maximiliani Josephi I.... collegit et pingendos curavit Dr J. B. de Spix.... Monachii
SORUBIM Caparary Tab XIII
Tab. 1 in Cases of albinism and leucism in amphibians in Italy: new reports
<p>Tab. 1 - Cases of albinism and leucism in Italian amphibians observed in this study.</p><table><thead><tr><th><b>Species</b></th><th><b>Phase</b></th><th><b>Individuals</b></th><th><b>Chromatic aberration</b></th><th><b>Region of origin</b></th></tr></thead><tbody><tr><th><i>Salamandra salamandra</i></th><td>Larva</td><td>3</td><td>Partial albinism with xantophores</td><td>Lombardy</td></tr><tr><th><i>Salamandra salamandra</i></th><td>Larva followed after metamorphosis</td><td>1</td><td>Partial albinism with xantophores</td><td>Lombardy</td></tr><tr><th><i>Salamandra salamandra</i></th><td>Adult</td><td>1</td><td>Leucism</td><td>Lombardy</td></tr><tr><th><i>Salamandra salamandra</i></th><td>Adult</td><td>1</td><td>Leucism</td><td>South Tyrol</td></tr><tr><th><i>Triturus carnifex</i></th><td>Larva</td><td>1</td><td>Leucism</td><td>Lombardy</td></tr><tr><th><i>Hydromantes sarrabusensis</i></th><td>Adults/subadults</td><td>6/4</td><td>Leucism</td><td>Sardinia</td></tr><tr><th><i>Hydromantes flavus</i></th><td>Adult</td><td>3</td><td>Leucism</td><td>Sardinia</td></tr><tr><th><i>Hydromantes supramontis</i></th><td>Adult</td><td>3</td><td>Leucism</td><td>Sardinia</td></tr><tr><th><i>Bufo viridis</i></th><td>Tadpole</td><td>1</td><td>Leucism</td><td>Lombardy</td></tr></tbody></table>
Tab. 4 in The local forms of Zootecus (Gastropoda: Pulmonata: Subulinidae) of Pakistan: an archaeomalacological case study
<p>Tab. 4 - Values of <i>q</i> based on Tukey test. The pairs pointed out with asterisks (*) are significantly different.</p><table><tbody><tr><th>Comparison of samples</th><th><b>q</b></th></tr></tbody><tbody><tr><th>RH59 - RH480</th><td>0.5853</td></tr><tr><th>RH59 - WP31 *</th><td>4.8001</td></tr><tr><th>RH59 -WP16 *</th><td>5.9384</td></tr><tr><th>RH59 - UTHAL *</th><td>6.402</td></tr><tr><th>RH480 - WP31</th><td>1.3343</td></tr><tr><th>RH480 - WP16</th><td>1.5047</td></tr><tr><th>RH480 - UTHAL</th><td>2.8947</td></tr><tr><th>WP31 - WP16</th><td>3.4168</td></tr><tr><th>WP31 - UTHAL *</th><td>5.4741</td></tr><tr><th>WP16 - UTHAL</th><td>2.2843</td></tr></tbody></table>
Tab. 3 in The local forms of Zootecus (Gastropoda: Pulmonata: Subulinidae) of Pakistan: an archaeomalacological case study
<p>Tab. 3 - Results of ANOVA test. DF, degree of freedom; S 2, variance; F, variance ratio; P, significance level.</p><table><tbody><tr><th><b>Source of variation</b></th><th><b>Deviance</b></th><th><b>DF</b></th><th><b>S</b> <b>2</b></th><th><b>F</b></th><th><b>P</b></th></tr></tbody><tbody><tr><th>Within groups variance</th><td>107.8805</td><td>986</td><td></td><td></td><td></td></tr><tr><th>Common regression slope</th><td>0.226133</td><td>1</td><td>0.226133</td><td>2.075882</td><td><0.01</td></tr><tr><th>Between regression slopes</th><td>0.8000667</td><td>4</td><td>0.200017</td><td>1.836137</td><td><0.05</td></tr><tr><th>Error for coefficient</th><td>106.8637</td><td>981</td><td>0.108933</td><td></td><td></td></tr></tbody></table>
Tab. 2 in The local forms of Zootecus (Gastropoda: Pulmonata: Subulinidae) of Pakistan: an archaeomalacological case study
<p>Tab. 2 - Number of individuals, heights (H), diameters (D), means, roundness indices (H/D), whorl numbers and linear regression coefficient for <i>Zootecus</i> sp. of the five sites.</p><table><tbody><tr><th></th><th><b>WP 16</b></th><th><b>WP 31</b></th><th><b>UTHAL</b></th><th><b>RH 59</b></th><th><b>RH 480</b></th></tr></tbody><tbody><tr><th>Numbers of individuals</th><td>240</td><td>162</td><td>217</td><td>197</td><td>167</td></tr><tr><th>Mean H mm</th><td>10.75</td><td>11.40</td><td>11.57</td><td>11.97</td><td>10.70</td></tr><tr><th>Max H mm</th><td>13.50</td><td>13.30</td><td>14.85</td><td>17.00</td><td>12.90</td></tr><tr><th>Min H mm</th><td>8.00</td><td>9.50</td><td>8.30</td><td>10.00</td><td>8.50</td></tr><tr><th>Delta H mm</th><td>5.50</td><td>3.800</td><td>6.55</td><td>7.00</td><td>4.40</td></tr><tr><th>Mean D mm</th><td>4.69</td><td>4.85</td><td>4.80</td><td>4.19</td><td>4.87</td></tr><tr><th>Max D mm</th><td>6.00</td><td>5.60</td><td>5.50</td><td>4.85</td><td>5.60</td></tr><tr><th>Min D mm</th><td>3.80</td><td>3.90</td><td>4.10</td><td>3.70</td><td>3.50</td></tr><tr><th>Delta D mm</th><td>2.20</td><td>0.95</td><td>1.40</td><td>1.15</td><td>2.10</td></tr><tr><th>Mean roundness H/D</th><td>2.30</td><td>2.30</td><td>2.41</td><td>2.85</td><td>2.19</td></tr><tr><th>Whorl numbers</th><td>8</td><td>8</td><td>8 and 9</td><td>8 and 10</td><td>7 and 8</td></tr><tr><th>Linear regression equation</th><td>y = 0.2493x + 1.9771</td><td>y = 0.1606x + 3.0419</td><td>y = 0.302x + 1.1788</td><td>y = 0.10278x + 2.9634</td><td>y = 0.2122x + 2.5862</td></tr></tbody></table>
Tab. 1 in Primula × chignolensis (Ericales: Primulaceae), a new primrose hybrid discovered in Val Seriana (northern Italy)
<p>Tab. 1 - Character table. / Tabella dei caratteri.</p><table><tbody><tr><th></th><th><i>Primula albenensis</i></th><th><i>Primula</i> × <i>chignolensis</i></th><th><i>Primula auricula</i></th></tr></tbody><tbody><tr><th>leaf margin</th><td>usually entire to subcrenate or crenate in the distal portion</td><td>distinctly and evenly crenate</td><td>crenate/subcrenate to subentire</td></tr><tr><th>color of leaf margin</th><td>not contrasting (green)</td><td>not contrasting (green)</td><td>contrasting (whitish)</td></tr><tr><th>corolla throat</th><td>copiously white-farinose</td><td>pale yellow, not or scarcely farinose</td><td>yellow, not or scarcely farinose</td></tr><tr><th>corolla limb</th><td>magenta (rarely purple or whitish)</td><td>magenta to deep magenta</td><td>yellow</td></tr></tbody></table>
Tab. 1 in Die solitären Faltenwespen der Peloponnes (Hymenoptera: Vespidae: Raphiglossinae, Eumeninae) - 2. Teil
<p><b>Tab. 1</b>: Häufigkeit von Zeichnungselemente auf Postscutellum und Gesicht bei <i>Ancistrocerus</i> -, die als <i>A. longispinosus</i> bzw. <i>A. gazella</i> interpretiert wurden.</p><table><tbody><tr><th></th><th><b>Postscutellum</b></th><th><b>Nebengesichtsflecke</b></th></tr></tbody><tbody><tr><th></th><td>schwarz</td><td>gefleckt</td><td>Binde</td><td>getrennt</td><td>verbunden</td></tr><tr><th><b><i>A. longispinosus</i> -</b></th><td>66</td><td>22</td><td>-</td><td>85</td><td>3</td></tr><tr><th><b><i>A. gazella</i> -</b></th><td>-</td><td>1</td><td>3</td><td>1</td><td>3</td></tr></tbody></table>
Tab. 3 in Microhabitat selection of the Western green lizard Lacerta bilineata
<p>Tab. 3 - Most important variables for the presence of lizards obtained through multimodel inference, and their effect. / Le variabili più importanti per la presenza del ramarro ottenute attraverso il <i>multimodel inference</i> e il loro effetto. M = male, F = female; Variables: Rocks (percentage cover of rocks), Bsoil (percentage cover of bare soil), ShrubC (percentage cover of shrub layer). / M = maschio, F = femmina; Variabili: Rocks (percentuale di copertura delle rocce), Bsoil (percentuale di copertura del suolo nudo), ShrubC (percentuale di copertura dello strato arbustivo).</p><table><tbody><tr><th><b>Variables</b></th><th><i>Sex</i></th><th><b><i>Σ</i> w</b></th><th></th><th><b>SE</b></th><th><b>- 95%</b></th><th><b>+ 95%</b></th></tr></tbody><tbody><tr><th>ShrubC</th><td>M+F</td><td>0.996</td><td>3.072</td><td>0.955</td><td>1.200</td><td>4.944</td></tr><tr><th>Bsoil</th><td>M+F</td><td>0.982</td><td>-3.840</td><td>1.082</td><td>-5.961</td><td>-1.719</td></tr><tr><th>Rocks</th><td>M+F</td><td>0.559</td><td>4.905</td><td>1.343</td><td>2.273</td><td>7.537</td></tr><tr><th>Bsoil</th><td>M</td><td>0.974</td><td>-9.041</td><td>1.342</td><td>-11.672</td><td>-6.410</td></tr><tr><th>Rocks</th><td>M</td><td>0.684</td><td>6.588</td><td>1.908</td><td>2.849</td><td>10.326</td></tr><tr><th>ShrubC</th><td>M</td><td>0.474</td><td>2.488</td><td>1.038</td><td>0.454</td><td>4.521</td></tr><tr><th>Rocks</th><td>F</td><td>0.998</td><td>4.570</td><td>1.422</td><td>1.782</td><td>7.358</td></tr><tr><th>Bsoil</th><td>F</td><td>0.504</td><td>-2.154</td><td>1.100</td><td>-4.310</td><td>0.001</td></tr><tr><th>ShrubC</th><td>F</td><td>0.458</td><td>3.424</td><td>1.002</td><td>1.461</td><td>5.387</td></tr></tbody></table>
Tab. 2 in Microhabitat selection of the Western green lizard Lacerta bilineata
<p>Tab. 2 - Set of logistic regression models used for the Information-theoretic approach with nine microhabitat variables at 122 sampling points. / Serie di modelli di regressione logistica usati per l’approccio <i>Informationtheoretic</i> con nove variabili di microhabitat in 122 punti di campionamento. *K: number of estimated parameters; Variables: Rocks (percentage cover of rocks), Bsoil (percentage cover of bare soil), Grass (percentage cover of grass), Litter (percentage cover of litter), ShrubC (percentage cover of shrub layer), ShrubH (shrub minimum height – cm), HerbC (percentage cover of herbaceous layer), HerbH (herbaceous minimum height – cm), TreeC (percentage cover of tree layer). / *K: numero di parametri stimati; Variabili: Rocks (percentuale di copertura delle rocce), Bsoil (percentuale di copertura del suolo nudo), Grass (percentuale di copertura delle piante erbacee), Litter (percentuale di copertura della lettiera), ShrubC (percentuale di copertura dello strato arbustivo), ShrubH (altezza minima degli arbusti – cm), HerbC (percentuale di copertura dello strato erbaceo), HerbH (altezza minima dello strato erbaceo – cm), TreeC (percentuale di copertura dello strato arboreo).</p><table><tbody><tr><th><b>Variables</b></th><th><b>AUC</b></th><th><b>-2 log-likelihood</b></th><th><b>K*</b></th><th><b>AICc</b></th><th><b>ΔAICc</b></th><th><b>w</b></th></tr></tbody><tbody><tr><th>Rocks - Bsoil - ShrubC</th><td>0.819</td><td>110.017</td><td>5</td><td>120.534</td><td>0.000</td><td>0.548</td></tr><tr><th>Bsoil - ShrubC</th><td>0.807</td><td>112.674</td><td>4</td><td>121.016</td><td>0.482</td><td>0.431</td></tr><tr><th>ShrubC</th><td>0.754</td><td>122.946</td><td>3</td><td>129.149</td><td>8.615</td><td>0.007</td></tr><tr><th>Rocks - ShrubC</th><td>0.764</td><td>120.817</td><td>4</td><td>129.159</td><td>8.625</td><td>0.007</td></tr><tr><th>Rocks - Bsoil - ShrubH</th><td>0.807</td><td>120.341</td><td>5</td><td>130.858</td><td>10.324</td><td>0.003</td></tr><tr><th>ShrubC - TreeC</th><td>0.749</td><td>122.913</td><td>4</td><td>131.255</td><td>10.721</td><td>0.003</td></tr><tr><th>Rocks - Bsoil - HerbC</th><td>0.795</td><td>125.628</td><td>5</td><td>136.145</td><td>15.611</td><td><0.001</td></tr><tr><th>Rocks - Bsoil - HerbH</th><td>0.782</td><td>125.696</td><td>5</td><td>136.213</td><td>15.679</td><td><0.001</td></tr><tr><th>Bsoil - ShrubH -HerbH</th><td>0.771</td><td>127.167</td><td>5</td><td>137.684</td><td>17.150</td><td><0.001</td></tr><tr><th>ShrubH - Bsoil - HerbC</th><td>0.774</td><td>127.254</td><td>5</td><td>137.771</td><td>17.237</td><td><0.001</td></tr><tr><th>Rocks - Grass - ShrubH</th><td>0.697</td><td>130.238</td><td>5</td><td>140.755</td><td>20.221</td><td><0.001</td></tr><tr><th>Rocks - ShrubH - HerbH</th><td>0.701</td><td>130.555</td><td>5</td><td>141.072</td><td>20.538</td><td><0.001</td></tr><tr><th>Rocks - ShrubH - HerbC</th><td>0.700</td><td>130.999</td><td>5</td><td>141.516</td><td>20.982</td><td><0.001</td></tr><tr><th>Grass - ShrubH - HerbH</th><td>0.672</td><td>136.178</td><td>5</td><td>146.695</td><td>26.161</td><td><0.001</td></tr><tr><th>Grass - ShrubH - TreeC</th><td>0.662</td><td>136.460</td><td>5</td><td>146.977</td><td>26.443</td><td><0.001</td></tr><tr><th>Grass - ShrubH - HerbC</th><td>0.667</td><td>136.495</td><td>5</td><td>147.012</td><td>26.478</td><td><0.001</td></tr><tr><th>HerbH - TreeC - ShrubH</th><td>0.663</td><td>136.568</td><td>5</td><td>147.085</td><td>26.551</td><td><0.001</td></tr><tr><th>HerbC - TreeC -ShrubH</th><td>0.663</td><td>136.960</td><td>5</td><td>147.477</td><td>26.943</td><td><0.001</td></tr><tr><th>Rocks - Grass - HerbH</th><td>0.606</td><td>137.908</td><td>5</td><td>148.425</td><td>27.891</td><td><0.001</td></tr><tr><th>Rocks - Grass - HerbC</th><td>0.594</td><td>138.001</td><td>5</td><td>148.518</td><td>27.984</td><td><0.001</td></tr><tr><th>Litter - HerbH</th><td>0.558</td><td>142.992</td><td>4</td><td>151.334</td><td>30.800</td><td><0.001</td></tr><tr><th>Litter - HerbC</th><td>0.555</td><td>143.010</td><td>4</td><td>151.352</td><td>30.818</td><td><0.001</td></tr><tr><th>Grass - HerbC - TreeC</th><td>0.521</td><td>144.170</td><td>5</td><td>154.687</td><td>34.153</td><td><0.001</td></tr><tr><th>Grass - HerbH - TreeC</th><td>0.526</td><td>144.208</td><td>5</td><td>154.725</td><td>34.191</td><td><0.001</td></tr></tbody></table>
Tab. 1 in Microhabitat selection of the Western green lizard Lacerta bilineata
<p>Tab. 1 - Correlation matrix (Spearman coefficients) among habitat variables measured at 122 sampling points. Bold values indicate significant correlation at P<0.05. / Matrice di correlazione (<i>Spearman coefficients</i>) tra le variabili di habitat misurate in 122 punti di campionamento. I valori in grassetto indicano una correlazione significativa a P<0.05. Variables: Rocks (percentage cover of rocks), Bsoil (percentage cover of bare soil), Grass (percentage cover of grass), Litter (percentage cover of litter), ShrubC (percentage cover of shrub layer), ShrubH (shrub minimum height – cm), HerbC (percentage cover of herbaceous layer), HerbH (herbaceous minimum height – cm), TreeC (percentage cover of tree layer). / Variabili: Rocks (percentuale di copertura delle rocce), Bsoil (percentuale di copertura del suolo nudo), Grass (percentuale di copertura delle piante erbacee), Litter (percentuale di copertura della lettiera), ShrubC (percentuale di copertura dello strato arbustivo), ShrubH (altezza minima degli arbusti – cm), HerbC (percentuale di copertura dello strato erbaceo), HerbH (altezza minima dello strato erbaceo – cm), TreeC (percentuale di copertura dello strato arboreo).</p><table><tbody><tr><th></th><th><b>Bsoil</b></th><th><b>Grass</b></th><th><b>Litter</b></th><th><b>ShrubC</b></th><th><b>ShrubH</b></th><th><b>HerbC</b></th><th><b>HerbH</b></th><th><b>TreeC</b></th></tr></tbody><tbody><tr><th>Rocks</th><td>-0.005</td><td>0.001</td><td><b>-0.286</b></td><td>0.169</td><td>-0.006</td><td>-0.031</td><td>-0.022</td><td><b>-0.404</b></td></tr><tr><th>Bsoil</th><td></td><td><b>-0.415</b></td><td><b>-0.295</b></td><td>-0.142</td><td>-0.165</td><td>-0.052</td><td>-0.081</td><td><b>-0.203</b></td></tr><tr><th>Grass</th><td></td><td></td><td><b>-0.624</b></td><td><b>-0.297</b></td><td>-0.162</td><td>0.059</td><td>0.087</td><td>-0.134</td></tr><tr><th>Litter</th><td></td><td></td><td></td><td><b>0.273</b></td><td><b>0.282</b></td><td>-0.013</td><td>-0.018</td><td><b>0.427</b></td></tr><tr><th>ShrubC</th><td></td><td></td><td></td><td></td><td><b>0.617</b></td><td><b>-0.431</b></td><td><b>-0.363</b></td><td>0.074</td></tr><tr><th>ShrubH</th><td></td><td></td><td></td><td></td><td></td><td><b>-0.188</b></td><td>-0.160</td><td>0.146</td></tr><tr><th>HerbC</th><td></td><td></td><td></td><td></td><td></td><td></td><td><b>0.908</b></td><td>-0.088</td></tr><tr><th>HerbH</th><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td>-0.059</td></tr></tbody></table>
Tab. 1 in Flora vascolare spontanea della città di Modena: analisi del centro storico
<p>Tab. 1 - Elenco degli ambienti considerati durante lo svolgimento delle indagini sulla flora urbica modenese. / List of the environments considered during the analyses of the urban flora of Modena.</p><table><tbody><tr><th>ACC</th><th>acciottolati di sassi di fiume su matrice sabbiosa, tipo «rizzata alla lombarda» [Fig. 2a]</th></tr></tbody><tbody><tr><th>AIU</th><td>aiuole minori (~ 1-2 m ²), in genere riempite di terra compattata [Fig. 2b]</td></tr><tr><th>FAN</th><td>fanghiglia umida accumulatasi sul fondo dei bacini di scarico intorno alle fontane, o sul fondo dei tombini di scolo delle acque piovane [Fig. 2c]</td></tr><tr><th>FES</th><td>fessure alla base dei marciapiedi o dei muri, o tra la filetta del marciapiede e il pavimento d’asfalto del marciapiede stesso; fessure dei muri [Fig. 2d]</td></tr><tr><th>LAS</th><td>lastricati di piazze e marciapiedi [Fig. 2e]</td></tr><tr><th>MAT</th><td>pavimentazioni di mattoni [Fig. 2f]</td></tr><tr><th>POR</th><td>acciottolati di cubetti di porfido («bolognini») su matrice sabbiosa [Fig. 2g]</td></tr><tr><th>PRA</th><td>praterie incolte delle aiuole maggiori e tappeti erbosi (copertura vegetale continua) [Fig. 2h]</td></tr><tr><th>SAB</th><td>suoli sabbiosi, o molto poveri e pulverulenti [Fig. 2i]</td></tr><tr><th>SIE</th><td>siepi dei viali perimetrali [Fig. 2j]</td></tr><tr><th>TER</th><td>terra di riporto o terra smossa, tipicamente nelle aiuole lunghe e strette dei viali perimetrali</td></tr><tr><th></th><td>(copertura vegetale discontinua, talvolta rada) [Fig. 2k]</td></tr></tbody></table>
Text-fig. 10. Frequencies of anterior premolar patterns in mandibles (data after Tab. 4). in Anterior Premolar Variability In Pleistocene Cave And Brown Bears And Its Significance In Species Determination
Text-fig. 10. Frequencies of anterior premolar patterns in mandibles (data after Tab. 4).
Text-fig. 9. Frequencies of anterior premolar patterns in maxillae (data after Tab. 2). in Anterior Premolar Variability In Pleistocene Cave And Brown Bears And Its Significance In Species Determination
Text-fig. 9. Frequencies of anterior premolar patterns in maxillae (data after Tab. 2).
Characterization of photodiodes for detection of variations in part-to-part gap and weld penetration depth during remote laser welding of copper-to-steel battery tab connectors
<p>In this folder, .csv files and Matlab scripts for processing data from experimental campaign that has been reported in the following paper:<br> Chianese, G., Franciosa, P., Nolte, J., Ceglarek, D., and Patalano, S., “Characterization of photodiodes for detection of variations in part-to-part gap and weld penetration depth during remote laser welding of copper-to-steel battery tab connectors.” Journal of Manufacturing Science and Engineering. In-press.</p> <p>As the experimental campaign is made up of two phases, files are divided in two folders:<br> (i) Phase I - Weld penetration depth; and,<br> (ii) Phase II - Part-to-part gap.</p> <p>In each of these two folders, there are:<br> (i) a Matlab live script that, once the code is run, allows the user to select the signals (please, select all of them);<br> (ii) functions to run the code;<br> (iii) Matlab variable files;<br> (iii) a folder with .csv files that contain signals recorded during experimental campaign;<br> (iv) an Excel file reporting experimental setup and process parameters;<br> (v) a PDF file with the live script and results of the data processing for the readers that cannot run Matlab codes.</p>
Take a Break (TAB): mHealth-assisted Skills Building Challenge for Unmotivated Smokers
ClinicalTrials.gov study NCT02973425. IPD Sharing: NO. Countries: 1. Publications: 1.
Use of Cognitive Stimulation Software for Patients Over the Age of 70 Followed for Breast Cancer: COG-TAB-AGE Feasibility Study
ClinicalTrials.gov study NCT04261153. IPD Sharing: NO. Countries: 1. Publications: 1.
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