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Table 1 in Temperate grassy wetlands of South Africa: Description, classification and explanatory environmental factors
<p><b>Table 1</b> Historical datasets that were included in the present dataset. The shaded references at the bottom are those that only have a few plots that were used.</p><table><tbody><tr><th>Publication/dataset</th><th>Area</th><th>Comments</th><th>No. of plots</th></tr></tbody><tbody><tr><th>Furness (1981)</th><td>Pongola floodplain</td><td>Vegetation plots 10 × 10 m</td><td>26</td></tr><tr><th>Fuls, Bredenkamp & Van Rooyen (1992)</th><td>Pans of Northwestern Free State</td><td>No coordinates, poor environmental data</td><td>4</td></tr><tr><th>Fuls (1993)</th><td>Grasslands Northern Free State</td><td>Vegetation plots of 10 × 10 m</td><td>43</td></tr><tr><th>Bloem, Theron & Van Rooyen (1993)</th><td>Verlorenvlei, Mpumalanga</td><td>Vegetation plots of 10 × 10 m</td><td>13</td></tr><tr><th>Coetzee, Bredenkamp & Van Rooyen (1993)</th><td>Belfast- Wakkerstroom- Barberton- Piet Retief</td><td>No exact coordinates available, unpublished</td><td>18</td></tr><tr><th>Eckhardt, Van Rooyen & Bredenkamp (1993a,b)</th><td>Wetlands Northeastern Free State</td><td>Vegetation plots of 10 × 10 m</td><td>28</td></tr><tr><th>Coetzee, Bredenkamp & Van Rooyen (1994)</th><td>Wetlands of Heidelberg, Witbank, Pretoria area</td><td>Vegetation plots 10 × 10 m</td><td>30</td></tr><tr><th>Guthrie (1996)</th><td>Hlatikhulu, Mooi River, Ntabamhlophe</td><td>Three large wetlands, cover values not in same format</td><td>123</td></tr><tr><th>Eckhardt, Van Rooyen & Bredenkamp (1996)</th><td>Wetlands of Northwestern KwaZulu-Natal</td><td>Vegetation plots of 10 × 10 m</td><td>78</td></tr><tr><th>De Frey (1996)</th><td>South-eastern Mpumalanga</td><td>Vegetation plots 10 × 10 m</td><td>46</td></tr><tr><th>Smit, Bredenkamp, Van Rooyen, van Wyk & Crombrinck (1997)</th><td>Witbank Nature reserve</td><td>Very small amount of wetland plots, mostly terrestrial vegetation</td><td>4</td></tr><tr><th>Cilliers, Schoeman & Bredenkamp (1998)</th><td>Urban wetlands in Potchefstroom</td><td>Three wetlands in detail</td><td>41</td></tr><tr><th>Perkins, Bredenkamp & Granger (2000)</th><td>Southern KwaZulu-Natal</td><td>Vegetation plots of 10 × 10 m</td><td>146</td></tr><tr><th>Burgoyne, Bredenkamp & Van Rooyen (2000)</th><td>Northeastern Mpumalanga</td><td>Vegetation plots large, 20 × 10 m, heterogeneous</td><td>23</td></tr><tr><th>Taylor (2000)</th><td>Mdlanzi Pan, Zululand</td><td>Plots on transects, no wetness data</td><td>6</td></tr><tr><th>Neal (2001)</th><td>Mkhuze floodplains</td><td>Plots on transects, no wetness data</td><td>12</td></tr><tr><th>Goge (2002)</th><td>Eastern shores Lake St. Lucia</td><td>Poor IDs in Swamp Forest</td><td>5</td></tr><tr><th>Venter (2002)</th><td>Mfabeni Swamp, Eastern shores</td><td>One large wetland sampled</td><td>6</td></tr><tr><th>Siebert, Van Wyk, Bredenkamp & Du Plessis (2002)</th><td>Sekhukhuneland</td><td>No coordinates, plots large 20 × 10 m, heterogeneous</td><td>12</td></tr><tr><th>Kotze and O'Connor (2000)</th><td>Middelvlei Wetland, Stellenbosch</td><td>Plots of only 1 × 1 m</td><td>4</td></tr><tr><th>Venter, Bredenkamp, and Grundling (2003)</th><td>Rietvlei in Gauteng</td><td>Many plots in pioneer stage after disturbance</td><td>10</td></tr><tr><th>Malan (2003)</th><td>Cookes Lake recreational area, Mmabatho</td><td>One urban wetland, largely disturbed</td><td>16</td></tr><tr><th>Janecke, DuPreez & Venter (2003)</th><td>Soetdoring Nature Reserve</td><td>Two wetlands</td><td>9</td></tr><tr><th>Cilliers & Bredenkamp (2003)</th><td>Pans in Northwest Province</td><td>Four large pans, many plots with very poor cover</td><td>6</td></tr><tr><th>Cleaver, Brown & Bredenkamp (2004)</th><td>Kamanassie Mountains</td><td>Maybe not all clear wetlands, small springs, plot size variable</td><td>4</td></tr><tr><th>Sieben, Ellery, Garden & Grenfell (2006)</th><td>Wetlands South of Richards Bay</td><td>Unpublished consultancy</td><td>5</td></tr><tr><th>Sieben, Kotze & Morris (2010)</th><td>Maloti-Drakensberg Transfrontier Park</td><td></td><td>147</td></tr><tr><th>Van Aardt (2010)</th><td>Vet River</td><td>No coordinates, poor environmental data</td><td>19</td></tr><tr><th>Collins (2011)</th><td>Free State pans and Valley bottoms</td><td>Soil data and many other variables available</td><td>134</td></tr><tr><th>Corry (2011)</th><td>Western Cape lowlands</td><td>Soil data and many other variables available for most plots</td><td>77</td></tr><tr><th>Pretorius (2011)</th><td>Wetlands Northern Maputaland</td><td>Results not yet published and soil data not yet available</td><td>12</td></tr><tr><th>Cowden, Kotze, Ellery & Sieben (2014)</th><td>Rehabilitated wetlands in KwaZulu-Natal</td><td>Many disturbed sites</td><td>35</td></tr><tr><th>Boucher (1987)</th><td>West Coast</td><td></td><td>3</td></tr><tr><th>Schoultz (2000)</th><td>Mkhuze Swamps</td><td></td><td>1</td></tr><tr><th>Grobler (2009)</th><td>Swamp Forest Kosi Bay</td><td></td><td>2</td></tr></tbody></table>
TABLE 1 in Lethrus (Heteroplistodus) kucerai (Coleoptera: Geotrupidae: Lethrinae), a new species from China
<p><b>TABLE 1.</b> Character matrix for the differential diagnosis of males of the <i>Lethrus</i> (<i>Heteroplistodus</i>) <i>potanini</i> species group.</p><table><tbody><tr><th></th><th><i>L.</i> (<i>H</i>.) <i>potanini</i> Jakovlev, 1889</th><th><i>L.</i> (<i>H</i>.) <i>kucerai</i> Hillert, Král & Bagaturov, <b>new species</b></th></tr></tbody><tbody><tr><th>shape of genae margin</th><td>outer edge irregularly serrated (Fig. 14)</td><td>outer edge irregular (Fig. 13)</td></tr><tr><th>surface of head</th><td>less roughly wrinkled and punctate, shallowly sculptured (Fig. 10)</td><td>roughly wrinkled and punctate, distinctly sculptured (Fig. 9)</td></tr><tr><th>surface of pronotum</th><td>less roughly wrinkled and punctate, shallowly sculptured (Fig. 18)</td><td>roughly wrinkled and punctate, distinctly sculptured (Fig. 17)</td></tr><tr><th>surface of elytra</th><td>weakly sulcate and sparsely wrinkled, striae deeper (Fig. 16)</td><td>coarsely sulcate and wrinkled, striae shallower (Fig. 15)</td></tr><tr><th>lateral pronotal margin</th><td>weakly broadened, weakly flattened (Fig. 18)</td><td>significantly broadened and flattened (Fig. 17)</td></tr><tr><th>lateral elytral margin</th><td>weakly broadened and flattened in frontal quarter, margin over length to apex distinctly shallow (Fig. 16)</td><td>significantly broadened and flattened at frontal quarter, margin weak but noticeable over length to apex (Fig. 15)</td></tr><tr><th>apical spur of protibia</th><td>apex pointed (Fig. 24)</td><td>apex bifurcate (Fig. 23)</td></tr><tr><th>shape of elytron</th><td>not elongate, shorter, distinctly convex (Fig. 16)</td><td>elongate from base to apex, weakly convex (Fig. 15)</td></tr><tr><th>aedeagus</th><td>as in Figs. 20, 22</td><td>as in Figs. 19, 21</td></tr></tbody></table>
Table 2 in Temperate grassy wetlands of South Africa: Description, classification and explanatory environmental factors
<p><b>Table 2</b> Environmental variables and their measurement or assessment that have been included in the National Wetland Vegetation database. The variables indicated with an asterisk were not available for all sample plots, only for those plots where a soil sample was taken for analysis.</p><table><tbody><tr><th>Variable</th><th>Type of variable</th><th>Method of measurement</th><th>Method of assessment</th><th>Units</th><th>Transfor-mation</th><th>Abbreviations or categories used in ordination diagram</th></tr></tbody><tbody><tr><th>HGM_type</th><td>Nominal</td><td></td><td>Level 4 of SAWCS classification system (Ollis et al. 2013), Depression, Floodplain, Valley bottom, Valley bottom with channel, Seepage, Channel</td><td>n.a.</td><td></td><td>Depression, Fldplain, VB, VB-wc, Seepage, Channel</td></tr><tr><th>Soil depth</th><td>Nominal</td><td></td><td>Soil augering, subdividing into two categories: deep soils (>50 cm), shallow soils (<50 cm)</td><td>n.a.</td><td></td><td>Soil_dp, Soil_sh</td></tr><tr><th>Wetness</th><td>Index</td><td></td><td>Assessment of soil hydromorphic features following Kotze et al. (1996). Index: 1 = no wetland, 2 = temporary, 3 = temporary/seasonal, 4 = seasonal, 5 = semi-permanent, 6 = permanent</td><td>n.a.</td><td></td><td>Wetness</td></tr><tr><th>Soil texture (1)</th><td>Nominal</td><td></td><td>Feel of soil by touch</td><td>n.a.</td><td></td><td>Peat, Sand, Loam, Clay, Silt, Gravel</td></tr><tr><th>Soil texture (2)</th><td>Ratio*</td><td>Sieving and subdividing into three fractions Clay (<0.002 mm), Silt (0.002–0.05 mm), Sand (0.05–2 mm)</td><td></td><td>mass %</td><td>log</td><td>%Sand, %Clay, %Silt</td></tr><tr><th>Soil organic matter (1)</th><td>Index</td><td></td><td>Checking colour of soil: mineral soils = 1, dark or humic soils = 2, peaty soils = 3</td><td>n.a.</td><td></td><td>Organic</td></tr><tr><th>Soil organic matter (2)</th><td>Ratio*</td><td>Walkley-Black method</td><td></td><td>mass %</td><td>log</td><td>%Carbon</td></tr><tr><th>pH</th><td>Ordinal*</td><td>Water extraction of soil, using pH meter.</td><td></td><td>n.a.</td><td>*</td><td>PH</td></tr><tr><th>Inundation</th><td>Ratio</td><td></td><td>Assessed in field from standing water</td><td>cm</td><td></td><td>Inundation</td></tr><tr><th>Altitude</th><td>Ratio</td><td>using GPS</td><td>Finding locality in Google Earth</td><td>m</td><td></td><td>Altitude</td></tr><tr><th>Slope</th><td>Ratio</td><td></td><td>Assessed in field</td><td>degrees</td><td></td><td>Slope</td></tr><tr><th>Electrical conductivity</th><td>Ratio*</td><td>Water extraction of soil, using conductivity meter</td><td></td><td>mS/cm</td><td>log</td><td>EC</td></tr><tr><th>Nitrogen</th><td>Ratio*</td><td>Sums of measured concentrations of ammonium, nitrite and nitrate, converted towards mol N, converted back into mass N</td><td></td><td>mg/kg</td><td>log</td><td>Nitrogen</td></tr><tr><th>Phosphorus</th><td>Ratio*</td><td>Bray I method</td><td></td><td>mg/kg</td><td>log</td><td>Phosphorus</td></tr><tr><th>Major Cations</th><td>Ratio*</td><td>Using 1:10 water extraction of soil</td><td></td><td>mg/kg</td><td>Standardized, then log</td><td>Na, Ca, K, Mg</td></tr></tbody></table>
TABLE 2 in Systematic revision of the family Hoplitomerycidae Leinders, 1984 (Artiodactyla: Cervoidea), with the description of a new genus and four new species
<p><b>TABLE 2.</b> Dental measurements (L=length, W=width; in mm) of the mandibular (above) and maxillar fragments (below) from Scontrone, mandibular premolar/molar ratio and body mass estimation (BM in kg) based on lower molar row length after Damuth (1990) for selenodont browsers. * alveolar measurements. The specimens are sorted according to increasing size. Dental measurements from Mazza & Rustioni (2011, 1999, 1996).</p><table><tbody><tr><th>Mandible fragments</th><th>species</th><th>Lp2–m3</th><th>Lm1–m3</th><th>Lm1 / Wm1 Lm2 / Wm2</th><th>Lm3 / Wm3</th><th>p/m ratio</th><th>BM</th></tr></tbody><tbody><tr><th>SCT88</th><td><i>S. apulicus</i></td><td>53.9</td><td>35</td><td>10.2 / 7 11.6 / 7.7</td><td>14.7 / 7.8</td><td>0.54*</td><td>18.2</td></tr><tr><th>SCT77</th><td><i>S. minutus</i></td><td>-</td><td>36.7</td><td>10.3 / 7 11.8 / 8</td><td>16.1 / 8</td><td>-</td><td>21.3</td></tr><tr><th>SCT76</th><td><i>S. apulicus</i></td><td>-</td><td>36.9</td><td>10.6 / - 11.3 / -</td><td>14.3 / -</td><td>-</td><td>21.7</td></tr><tr><th>SCT177</th><td><i>S. falcidens</i></td><td>56.8</td><td>38.4</td><td>10.1 / 8.2 8.3 / 7*</td><td>13.8 / 6.1*</td><td>0.48</td><td>24.8</td></tr><tr><th>SCT60</th><td><i>S. minutus</i></td><td>-</td><td>38.9</td><td>10.4 / 6.8 11.7 / 7.6</td><td>16.3 / 7.8</td><td>-</td><td></td></tr><tr><th>SCT155</th><td><i>S. minutus</i></td><td>58</td><td>39</td><td>10.2 / 6.4 11.9 / 8.2</td><td>17.2 / 8.6</td><td>0.48</td><td>26.2</td></tr><tr><th>SCT72</th><td><i>S. mazzai</i></td><td>-</td><td>-</td><td>- -</td><td>17.6 / 9.3</td><td>-</td><td></td></tr><tr><th>SCT50</th><td><i>S. apruthiensis</i></td><td>-</td><td>40.3</td><td>10.2 / - 12.5 / 7.7</td><td>18.1 / 7.8</td><td>-</td><td>29.2</td></tr><tr><th>SCT51</th><td><i>S. apruthiensis</i></td><td>-</td><td>-</td><td>10.9 / 8? -</td><td>-</td><td>-</td><td></td></tr><tr><th>SCT16</th><td><i>S. apruthiensis</i></td><td>-</td><td>41.5</td><td>11.5 / - 12 / -</td><td>18 / -</td><td>-</td><td>32.3</td></tr><tr><th>SCT81</th><td><i>S. apruthiensis</i></td><td>-</td><td>41.9</td><td>11.7 / 9.7 12.3 / 10.1</td><td>18.7 / 9.6</td><td>-</td><td>33.3</td></tr><tr><th>SCT102</th><td><i>S. apruthiensis</i></td><td>-</td><td>42.7</td><td>10.5 / 7.6 12.7 / 8.8</td><td>19.5 / 7.9</td><td>-</td><td>35.6</td></tr><tr><th>SCT29</th><td><i>S. apruthiensis</i></td><td>-</td><td>43.4</td><td>10.8 / 7.2 13.1 / 7.5</td><td>19 / 7.5</td><td>-</td><td>37.6</td></tr><tr><th>SCT71</th><td><i>S. apruthiensis</i></td><td>-</td><td>-</td><td>- -</td><td>19.6 / 8</td><td>-</td><td>-</td></tr><tr><th>SCT58+SC T67</th><td><i>S. apruthiensis</i></td><td>-</td><td>-</td><td>- 14.0 / 7.9</td><td>-</td><td>-</td><td>-</td></tr><tr><th>SCT89</th><td><i>S. apruthiensis</i></td><td>-</td><td>-</td><td>12.2 / 7.1 14.1 / 7.3</td><td>-</td><td>-</td><td>-</td></tr><tr><th>SCT20</th><td><i>S. magnus</i></td><td>-</td><td>47.8</td><td>15 / 9.6 15.5 / 9.7</td><td>20 / 10.1</td><td>-</td><td>52.1</td></tr><tr><th>SCT80</th><td><i>S. mazzai</i></td><td>-</td><td>-</td><td>- -</td><td>20.1</td><td>-</td><td></td></tr><tr><th>Maxilla fragments</th><td></td><td>LM1 / WM1</td><td>LM2 / WM2</td><td>LM3 / WM3</td><td></td><td></td><td></td></tr><tr><th>SCT70</th><td><i>S. falcidens</i></td><td>-</td><td>9.3 / 11.5</td><td>11.2 / 10</td><td></td><td></td><td></td></tr><tr><th>SCT59</th><td><i>S. apruthiensis</i></td><td>10.3 / 11.9</td><td>13 / 12</td><td>15.8 / -</td><td></td><td></td><td></td></tr><tr><th>SCT86</th><td><i>S. magnus</i></td><td>15.2 / 16.5</td><td>-</td><td>-</td><td></td><td></td><td></td></tr><tr><th>SCT18</th><td><i>S. magnus</i></td><td>16.1 / -</td><td>13.3 / -</td><td>-</td><td></td><td></td><td></td></tr></tbody></table>
Burial impact on the Tatra Mts from a rock magnetic and magnetic fabric perspective: magnetic fabric tables and additional rock magnetic measurements
<p>The dataset contains one table with the results of additional hysteresis and IRM back-field analysis, and three tables showing ellipsoid parameters for specimens where ipAMS, opAMS and AARM were measured.</p>
TABLE 2 in A revision of Anadolua (Orthoptera: Tettigoniidae: Tettigoniinae) based on morphological and bioacoustic characters: Newly confirmed data suggesting a new synonym and two new species
<p><b>TABLE 2</b>. Modelling methods used in the SDM analysis.</p><table><tbody><tr><th>Algorithms</th><th>Original Model</th></tr></tbody><tbody><tr><th>Multivariate adaptive Regression splines (MARS): A regression technique using piecewise linear segments to model non-linear relationships.</th><td>(Friedman, 1991)</td></tr><tr><th>Generalized linear model (GLM): A statistically robust parametric regression method commonly used in habitat suitability modelling.</th><td>(Nelder & Wedderburn, 1972)</td></tr><tr><th>Flexible discriminant analysis (FDA); a valuable tool for multigroup classification.</th><td>(Hastie <i>et al.</i>, 1994)</td></tr><tr><th>Maximum entropy (MAXENT): a powerful tool for ecological modelling, particularly for predicting species distribution with limited occurrence data.</th><td>(Jaynes, 1957)</td></tr><tr><th>Random forest (RF): A machine learning method that makes more accurate predictions by combining a large set of decision trees.</th><td>(Breiman, 2001)</td></tr></tbody></table>
TABLE 1 in The West Pacific anemone-shrimp Ancylomenes speciosus (Okuno, 2004) (Crustacea: Decapoda: Palaemonidae) - a species complex or single species?
<p><b>TABLE 1.</b> Species of <i>Ancylomenes</i> and outgroup taxa used in the molecular analysis, with details on sampling locations, GenBank accession numbers for COI and 16S gene sequences, and voucher identification numbers of specimens. n/a, not available. Abbreviations in parentheses—see column Locality.</p><table><tbody><tr><th><b>Species</b></th><th><b>Voucher ID</b></th><th><b>Locality</b></th><th><b>GenBank accession numbers</b></th><th><b>Source</b></th></tr></tbody><tbody><tr><th></th><td></td><td></td><td><b>COI</b></td><td><b>16S</b></td><td></td></tr><tr><th><i>A. kobayashii</i> (Jp)</th><td>NTOU M01865</td><td>Japan</td><td>KU064947</td><td>KU064801</td><td>Horká <i>et al.</i> 2016</td></tr><tr><th><i>A. longicarpus</i> (Aq; 1)</th><td>UO.Aq08-24</td><td>Aqaba</td><td>PQ306805</td><td>PQ306552</td><td>present report</td></tr><tr><th><i>A. longicarpus</i> (Aq; 2)</th><td>UO.Aq09-57</td><td>Aqaba</td><td>KU064949</td><td>KU064803</td><td>Horká <i>et al</i>. 2016</td></tr><tr><th><i>A. luteomaculatus</i> (Jp)</th><td>NTOU M01866</td><td>Japan</td><td>KU064950</td><td>KU170693</td><td>Horká <i>et al.</i> 2016</td></tr><tr><th><i>A. magnificus</i> (Vn; 1)</th><td>UO.V08-109</td><td>Vietnam</td><td>KU064951</td><td>KU064804</td><td>Horká <i>et al.</i> 2016</td></tr><tr><th><i>A. magnificus</i> (Vn; 2)</th><td>UO.VN08-56</td><td>Vietnam</td><td>PQ306802</td><td>PQ306551</td><td>present report</td></tr><tr><th><i>A. speciosus</i> (NC; 1)</th><td>MNHN-IU-2018-1358</td><td>New Caledonia</td><td>PQ306806</td><td>PQ306554</td><td>present report</td></tr><tr><th><i>A. speciosus</i> (NC; 2)</th><td>MNHN-IU-2018-728</td><td>New Caledonia</td><td>PQ306807</td><td>PQ306553</td><td>present report</td></tr><tr><th><i>A. speciosus</i> (AU)</th><td>MTQ W.33108</td><td>Australia</td><td>KU064952</td><td>KU170694</td><td>Horká <i>et al.</i> 2016</td></tr><tr><th><i>A. speciosus</i> (Tw; 1)</th><td>NMMBCD5631</td><td>Taiwan</td><td>PQ306804</td><td>PQ306555</td><td>present report</td></tr><tr><th><i>A. speciosus</i> (Tw; 2)</th><td>NMMBCD5632</td><td>Taiwan</td><td>PQ306803</td><td>PQ306556</td><td>present report</td></tr><tr><th><i>A. speciosus</i> (Tw; 3)</th><td>NMMBCD5629</td><td>Taiwan</td><td>n/a</td><td>PQ306557</td><td>present report</td></tr><tr><th><b>Outgroup</b></th></tr><tr><th><i>Cuapetes amymone</i> (Au)</th><td>MTQ.W-33116</td><td>Australia</td><td>KU064962</td><td>KU064812</td><td>Horká <i>et al.</i> 2016</td></tr><tr><th><i>Harpilius lutescens</i> (Aq)</th><td>UO.Aq09-77</td><td>Aqaba</td><td>KU064976</td><td>KU064822</td><td>Horká <i>et al.</i> 2016</td></tr></tbody></table>
TABLE 1 in Male flowers reveal the true identity of a new species of Hechtia (Bromeliaceae) from the Mexican state of Jalisco
<p><b>TABLE 1.</b> Comparison of several morphological characters between <i>Hechtia santanae</i> and <i>Hechtia carrilloi</i>.</p><table><tbody><tr><th><b>Character</b></th><th><i>Hechtia santanae</i></th><th><i>Hechtia carrilloi</i></th></tr></tbody><tbody><tr><th>Rosette size (height & diameter)</th><td>20–30 × 20–40 cm</td><td>10–12 × 28–30 cm</td></tr><tr><th>Growth pattern (<i>sensu</i> Ramírez <i>et al</i>., 2014)</th><td>SPFP: sympodial with precocious- flowering pattern</td><td>SPP: strict sympodial growth pattern</td></tr><tr><th>Foliar blade length × width</th><td>12–34 × (1.2–)1.7–2.8 cm</td><td>11–17 × 1.6–1.8 cm</td></tr><tr><th>Foliar indument</th><td>densely lepidote at both sides</td><td>sparsely silvery lepidote adaxially, densely white lepidote abaxially</td></tr><tr><th>Adaxial leaf indument</th><td>densely silvery-lepidote</td><td>almost glabrous</td></tr><tr><th>Spines length</th><td>1–3 mm</td><td>1–2 mm</td></tr><tr><th>Peduncle surface</th><td>waxy on inflorescences of both sexes</td><td>sparsely white-puberulent (J); glabrous to scattered lepidote (♀)</td></tr><tr><th>Peduncle internodes length (J)</th><td>1–2.5 cm</td><td>0.5–1.2 cm</td></tr><tr><th>Peduncle bract size (J)</th><td>2–9 × 0.7–0.9 cm</td><td>0.8–2.5 × 0.3–0.4 cm</td></tr><tr><th>Peduncle bracts relative length (J)</th><td>longer or equaling internodes</td><td>usually shorter than internodes</td></tr><tr><th>Branches apex (both sexes)</th><td>sterile</td><td>fertile</td></tr><tr><th>Branches number; angle with the main axis (J)</th><td>(35–)40–45; in an angle of 40–75°</td><td>30–50; in an angle of 85–90°</td></tr><tr><th>Branches length and diameter (J); number of flowers per branch</th><td>(3.5–)5.5–13.5 × 1.5–2 cm; 60–100 flowers</td><td>(1.5–)2–6 cm × 0.6–1 cm; (8–)20–65 flowers</td></tr><tr><th>Rachis cross section (J)</th><td>dorsiventrally flattened</td><td>terete</td></tr><tr><th>Stipes (J)</th><td>bracteate</td><td>ebracteate</td></tr><tr><th>Primary bracts size (J)</th><td>1–1.8(–2.5) × 0.4–0.7 cm</td><td>(5–)8–9 × 1–2 mm</td></tr><tr><th>Floral bracts size (J); number of nerves</th><td>3.4–3.9(–5.0) × 2.2–2.4 mm; 3–5-nerved</td><td>ca. 1 × 0.5 mm; 1-nerved</td></tr><tr><th>Corolla shape</th><td>obconical</td><td>tubular</td></tr><tr><th>Staminate flowers size (J)</th><td>5–5.5 mm long, 3.8–4.2 mm in diameter</td><td>4–5 mm long, 1–2 mm in diameter</td></tr><tr><th>Pedicels shape (J)</th><td>obconic</td><td>terete</td></tr><tr><th>Sepals size (J)</th><td>2.3–2.7 × 1.8–2.3 mm</td><td>ca. 1 × 1 mm</td></tr><tr><th>Petals size (J)</th><td>3.0–4.8 × 3.0–3.2 mm</td><td>2.5–2.8 × 1.5–2 mm</td></tr><tr><th>Length filaments of stamens</th><td>3.8–4.4 mm</td><td>ca. 3 mm</td></tr><tr><th>Relative length the petals at anthesis</th><td>stamens almost equaling the petal</td><td>stamens much longer than the petals</td></tr><tr><th>Anthers length and color</th><td>2.0–2.2 mm; reddish</td><td>0.8–1 mm; maroon</td></tr></tbody></table><p>...continued on the next page</p>
Table 1 in Confirmed polyphyly, generic recircumscription and typification of Dysoxylum (Meliaceae), with revised disposition of currently accepted species
<p><b>Table 1.</b> Informative sites of each partition before and after the treatment by Gblocks (Castresana, 2000), displayed in percentages, for all sites including gaps and excluding gaps in brackets.</p><table><tbody><tr><th>Partition</th><th>Informative sites</th><th>Informative sites after Gblocks</th></tr></tbody><tbody><tr><th>ETS</th><td>63% (58%)</td><td>62% (60%)</td></tr><tr><th>ITS</th><td>57% (50%)</td><td>52% (52%)</td></tr><tr><th><i>rps15-ycf1</i></th><td>14% (6%)</td><td>– (–)</td></tr><tr><th><i>trnL-F</i></th><td>15% (7%)</td><td>13% (7%)</td></tr><tr><th>All</th><td>35% (28%)</td><td>38% (35%)</td></tr></tbody></table>
Supplementary Figures and Tables
Open the record for dataset details and reuse information.
Concordance table for oral testosterone undecanoate
<p>Concordance analysis was performed to identify the best post-dose T assay time-point to guide any necessary dose-adjustment in oral TU patients. Concordance is defined herein to describe the extent of agreement between a decision to adjust the oral TU dose (up or down) when a single circulating T concentration in remains in the hypogonadal range [i.e., <252 ng/dl (9 nmol/L) for this study] or supraphysiological range [i.e., >907 ng/dL (31 nmol/L)] and the desired outcome of that decision (i.e., a circulating T level in the eugonadal range) is achieved.</p>
Neurology paper "Sequence of Alzheimer disease biomarker changes in cognitively normal adults: A cross-sectional study" Table e-1
<p>Our Neurology 2020 paper titled "<span><a><b>Sequence of Alzheimer disease biomarker changes </b></a><b>in cognitively normal </b></span><b>adults: A cross-sectional study" explores the cascades of </b>changes of several well-known Alzheimer disease (AD) markers including cerebrow spinal fluid (CSF), imaging (PET-PIB and MRI) and cognitive markers in cognitively normal participants. The baseline marker data of participants is modeled as a piecewise linear function of baseline age allowing one change point, without and with adjustment for covariates. The change point of a marker incicates the acceleration time of point after which a greater percentage of the participants present preclinical AD compared to before the change point. Cosnistent with previous research, the study confirmed that Abeta42 showed the earliest change-point around 50 years old and cognition had a late change point around 62. The study further found Tau, pTau and MRI hippalcampal volume had their change point closer to cognition. We identified change points in all participants, as well as by stratification of APOE4 status. The data here displays the Supplemental table Table e-1 accompanying the paper where the change point results by stratification of APOE4 status are presented.</p> <div> <div> <div class="msocomtxt"> </div> </div> </div> <p> </p>
Supplemental tables for: A periventricular gradient of innate immune cell activation in Multiple Sclerosis
<p><span><span><span><span><span><span><span><span><span><span><span><b>Objectives:</b> To explore <i>in-vivo</i> innate immune cell activation as a function of the distance from ventricular CSF in patients with Multiple Sclerosis (MS) using [18F]-DPA714 PET, and to investigate its relationship with periventricular microstructural damage, evaluated by magnetization transfer ratio (MTR), and with trajectories of disability worsening.</span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>Methods: </b>Thirty-seven MS patients and nineteen healthy controls underwent MRI and [18F]-DPA714 TSPO dynamic PET, from which individual maps of voxels characterized by innate immune cell activation (DPA+) were generated. White matter (WM) was divided in 3mm-thick concentric rings radiating from the ventricular surface toward the cortex, and the percentage of DPA+ voxels and mean MTR were extracted from each ring. Two-year trajectories of disability worsening were collected to identify patients with and without recent disability worsening.</span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>Results: </b>The percentage of DPA+ voxels was higher in patients compared to controls in the periventricular WM (<span><span>p=6.10e-6</span></span>), and declined with increasing distance from ventricular surface, with a steeper gradient in patients compared to controls (<span><span>p=0.001</span></span>). This gradient was found both in periventricular lesions and normal-appearing WM. In the total WM, it correlated with a gradient of microstructural tissue damage measured by MTR (<span><span>r<sub>s</sub>=-0.65, p=1.0e-3</span></span>). When compared to clinically stable patients, patients with disability worsening were characterized <span><span>by a higher percentage of DPA+ voxels </span></span>in the periventricular normal-appearing WM (<span><span>p=0.025</span></span>).</span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>Conclusions: </b>Our results demonstrate that in MS the innate immune cell activation predominates in periventricular regions and associates with microstructural damage and disability worsening. This could result from the diffusion of pro-inflammatory CSF-derived factors into surrounding tissues.</span></span></span></span></span></span></span></span></span></span></span></p>
Open Datasets - available file for Design of Experimental (RSM) model, ANOVA table, SEM, VSM and Zeta potecial data for the nanocrystal clusters based on iron oxide.
<p>The open-access data from the statistical model for the design of experiment optimization and as well as the experimental data are available for the community. The data are based on an obtained results published in the article: https://www.mdpi.com/2079-4991/11/2/360</p>
FIGURE III2. Phylogeny of Phasia (part 2) Character numbers above boxes refer to the characters in Table 1; numbers below boxes refer to transformation series states. Black bars on right side refer to the monphyletic groups discussed in the text. in Systematics of Phasia Latreille (Diptera: Tachinidae)
FIGURE III2. Phylogeny of Phasia (part 2) Character numbers above boxes refer to the characters in Table 1; numbers below boxes refer to transformation series states. Black bars on right side refer to the monphyletic groups discussed in the text.
FIGURE III1. Phylogeny of Phasia (part 1) Character numbers above boxes refer to the characters in Table 1; numbers below boxes refer to transformation series states; black bars on right side refer to the monphyletic groups discussed in the text. in Systematics of Phasia Latreille (Diptera: Tachinidae)
FIGURE III1. Phylogeny of Phasia (part 1) Character numbers above boxes refer to the characters in Table 1; numbers below boxes refer to transformation series states; black bars on right side refer to the monphyletic groups discussed in the text.
Supplemental_Tables_Jimenez2021
<p>Supplemental tables for the paper entitled "Reactive oxygen species homeostasis and circadian rhythms in plants" by Ana Jiménez, Francisca Sevilla and María C. Martí.</p>
Fact-checking Statistical Claims with Tables
<p>The surge of misinformation poses a serious problem for fact-checkers. Several initiatives for manualfact-checking have stepped up to combat this ordeal. However, computational methods are needed tomake the verification faster and keep up with the increasing abundance of false information. MachineLearning (ML) approaches have been proposed as a tool to ease the work of manual fact-checking.Specifically, the act of checking textual claims by using relational datasets has recently gained a lot oftraction. However, despite the abundance of proposed solutions, there has not been any formal definitionof the problem, nor a comparison across the different assumptions and results. In this work, we makea first attempt at solving these ambiguities. First, we formalize the problem by providing a generaldefinition that is applicable to all systems and that is agnostic to their assumptions. Second, we definegeneral dimensions to characterize different prominent systems in terms of assumptions and features.Finally, we report experimental results over three scenarios with corpora of real-world textual claims.</p>
Supplementary Table 1
<p>Supplementary Table 1 to the paper:</p> <p>Correia, A.L., Sena, E.T., Silva Dias, M.A.F., Koren, I. Preconditioning, aerosols, and radiation control the temperature of glaciation in Amazonian clouds. <em>Communications Earth & Environment</em> <strong>2</strong>, 168 (2021). <a href="https://doi.org/10.1038/s43247-021-00250-3">https://doi.org/10.1038/s43247-021-00250-3</a></p>
Supplementary Table S1 for manuscript Two new species of Russula subsection Amoeninae described from dry dipterocarp forest in Thailand suggest niche speciali-zation to this habitat type
<p>Specimens and GenBank accession number of DNA sequences used in the phylogenetic analyses. The newly generated sequences in this study are presented in boldface. The A is indicated for angiocarpic specimens.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
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