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.
43
datasets available to search
ShareScore release 0.9.0
Dataset results
43 results for “diversity measures”
High sexual display trait diversity without measured genetic divergence in a montane hybrid zone involving young species (Habronattus americanus subgroup, Araneae, Salticidae)
Open the record for dataset details and reuse information.
Data from: Conservation value of low-productive forests measured as the amount and diversity of dead wood and saproxylic beetles
In many managed landscapes, low-productive land comprises most of the remaining relatively untouched areas, and is often over-represented within protected areas. The relationship between the productivity and conservational value of a site is poorly known; however, it has been hypothesized that biodiversity increases with productivity due to higher resource abundance or heterogeneity, and that the species communities of low-productive land are a nested sub-set of communities from more productive land. We tested these hypotheses for dead wood-dependent beetles by comparing their species richness and composition, as well as the amount and diversity of dead wood, between low-productive (potential forest growth < 1 m3 ha-1 year-1) and productive Scots pine-dominated stands in Sweden. We included four stand types: stands situated on (i) thin soils and (ii) mires (both low-productive), (iii) managed stands, and (iv) unmanaged stands set aside for conservation purposes (both productive). Beetle species richness and number of red-listed species were highest in the productive set-asides. Species richness was positively correlated with the volume and diversity of dead wood, but volume appeared to be a better predictor than diversity for the higher species richness in set-asides. Beetle species composition was similar among stand types, and the assemblages in low-productive stands were largely subsets of those in productive set-asides. However, 11% of all species and 40% of red-listed species only occurred in productive stands, while no species were unique to low-productive stands. We conclude that low-productive forests are less valuable for conservation than productive forest land. Given the generally similar species composition among stand types, a comparable conservational effect could be obtained by setting aside a larger area of low-productive forest in comparison to the productive. In terms of dead wood volumes, 1.8–3.6 ha of low-productive forest has the same value as 1 ha of unmanaged productive forest. This figure can be used to estimate the conservation value of low productive forests; however, as productive forests harbored some unique species, they are not completely exchangeable.
A near infrared spectroscopy dataset of coal and coal-measure rock under diverse conditions
<p>we selected 24 representative coal and coal-measure rock samples, created sub-samples with 11 different granularity for each sample, and collected spectral data from the sub-samples under 5 different detection azimuths, 18 different detection zeniths, and 8 different light source zeniths. Our near infrared spectroscopy dataset of coal and coal-measure rock will provide valuable data support for coal and coal-measure rock identification based on near-field spectroscopy.</p>
Fig. 5 a –d Diversity measures calculated for the replicates from Stations 325 and 346. a S Total species numbers, N abundance, Z in Community structure and species diversity of Harpacticoida (Crustacea: Copepoda) at two sites in the deep sea of the Angola Basin (Southeast Atlantic)
Fig. 5 a –d Diversity measures calculated for the replicates from Stations 325 and 346. a S Total species numbers, N abundance, Z Median, Min. minimum, Max. maximum, Q 1 quartile 1 (25 % of all measured data
Development of compact transcriptional effectors using high-throughput measurements in diverse contexts
<p>HT-recruit and CRISPR HT-recruit processed datasets </p> <p>Abstract: <span>Transcriptional effectors are protein domains known to activate or repress gene expression, however, a systematic understanding of which effector domains regulate transcription robustly across genomic, cell-type, and DNA-binding domain (DBD) contexts is lacking. Here, we develop dCas9-mediated high-throughput recruitment (HT-recruit), a pooled screening method for quantifying effector function at endogenous target genes, and test effector function for a library containing 5,092 nuclear protein Pfam domains across varied contexts. We also map context dependencies of effectors drawn from unannotated protein regions using a larger library containing 114,288 sequences tiling chromatin regulators and transcription factors. We find that many effectors depend on target and DBD contexts, such as HLH domains that can act as either activators or repressors. To enable efficient perturbations, we select context-robust domains, including ZNF705 KRAB, that improve CRISPRi tools to silence promoters and enhancers. We engineer a compact human activator NFZ by combining several domains, which enables efficient CRISPRa with better viral delivery, and inducible control of CAR T-cells. Together, this effector-by-context functional map reveals context-dependence across human effectors and guides effector selection for manipulating transcription.</span></p>
Implementation Strategies for Self-Measured Blood Pressure Monitoring in Racially and Ethnically Diverse Populations
ClinicalTrials.gov study NCT06871462. IPD Sharing: NO. Countries: 1. Publications: 1.
Data from: Use of alpha, beta, and gamma diversity measures to characterize seed dispersal by animals
Open the record for dataset details and reuse information.
Data from: Conservation value of low-productive forests measured as the amount and diversity of dead wood and saproxylic beetles
Open the record for dataset details and reuse information.
Data from: Measuring the surrogacy potential of charismatic megafauna species across taxonomic, phylogenetic and functional diversity on a megadiverse island
Open the record for dataset details and reuse information.
Data from: Combining optimization and simulation modelling to measure the cumulative impacts of prescribed fire and wildfire on vegetation species diversity
Open the record for dataset details and reuse information.
Appendix Measurements for species of Breviphysoderes gen. nov., Macrophysoderes gen. nov., Nanophysoderes gen. nov., Paraphysoderes Villiers, 1962 and Physoderes Westwood, 1945 (in mm). Numbers in parentheses beside mean values refer to sample size. SD = Standard deviation. In the USI column, UCR _ ENT catalogue numbers are referred to by the number only. in Uncovering hidden diversity: phylogeny and taxonomy of Physoderinae (Reduviidae, Heteroptera), with emphasis on Physoderes Westwood in the Oriental and Australasian regions
<p><b>Appendix</b> Measurements for species of <i>Breviphysoderes</i> gen. nov., <i>Macrophysoderes</i> gen. nov., <i>Nanophysoderes</i> gen. nov., <i>Paraphysoderes</i> Villiers, 1962 and <i>Physoderes</i> Westwood, 1945 (in mm). Numbers in parentheses beside mean values refer to sample size. SD = Standard deviation. In the USI column, UCR _ENT catalogue numbers are referred to by the number only.</p><table><thead><tr><th>Species</th><th>Sex</th><th>USI</th><th>Total Length</th><th>Head length</th><th>Eye length</th><th>Eye width</th><th>Anterior lobe (l)</th><th colspan="2">Pronotum Anterior Posterior lobe (w) lobe (l)</th><th>Posterior lobe (w)</th><th>Hemelytron length</th><th>Scape length</th><th>Interocular distance</th><th>Postocular lobe width</th><th>Abdomen width</th></tr><tr><th colspan="16"><b><i>Breviphysoderes</i> gen. nov.</b></th></tr></thead><tbody><tr><th><i>B. decora</i></th><td>♀</td><td>Mean (5)</td><td>9.19</td><td>2.02</td><td>0.40</td><td>1.06</td><td>0.98</td><td>2.18</td><td>1.08</td><td>2.96</td><td>5.41</td><td>0.55</td><td>0.59</td><td>0.88</td><td>3.76</td></tr><tr><th></th><td></td><td>SD</td><td>0.33</td><td>0.19</td><td>0.03</td><td>0.05</td><td>0.09</td><td>0.12</td><td>0.14</td><td>0.17</td><td>0.18</td><td>0.03</td><td>0.06</td><td>0.04</td><td>0.20</td></tr><tr><th></th><td></td><td>Minimum</td><td>8.81</td><td>1.79</td><td>0.38</td><td>0.99</td><td>0.90</td><td>2.06</td><td>0.89</td><td>2.75</td><td>5.12</td><td>0.51</td><td>0.51</td><td>0.85</td><td>3.56</td></tr><tr><th></th><td></td><td>Maximum</td><td>9.53</td><td>2.24</td><td>0.46</td><td>1.11</td><td>1.09</td><td>2.32</td><td>1.26</td><td>3.14</td><td>5.63</td><td>0.58</td><td>0.65</td><td>0.94</td><td>4.05</td></tr><tr><th><i>B. mjoebergi</i></th><td>♂</td><td>Mean (3)</td><td>7.91</td><td>1.62</td><td>0.37</td><td>0.96</td><td>0.89</td><td>2.02</td><td>1.11</td><td>2.74</td><td>4.41</td><td>0.53</td><td>0.56</td><td>0.83</td><td>3.31</td></tr><tr><th></th><td></td><td>SD</td><td>0.43</td><td>0.21</td><td>0.02</td><td>0.03</td><td>0.11</td><td>0.06</td><td>0.24</td><td>0.14</td><td>0.41</td><td>0.03</td><td>0.04</td><td>0.03</td><td>0.23</td></tr><tr><th></th><td></td><td>Minimum</td><td>7.49</td><td>1.39</td><td>0.36</td><td>0.95</td><td>0.77</td><td>1.96</td><td>0.94</td><td>2.61</td><td>3.96</td><td>0.50</td><td>0.52</td><td>0.79</td><td>3.06</td></tr><tr><th></th><td></td><td>Maximum</td><td>8.35</td><td>1.82</td><td>0.39</td><td>1.00</td><td>0.97</td><td>2.08</td><td>1.38</td><td>2.88</td><td>4.77</td><td>0.57</td><td>0.59</td><td>0.85</td><td>3.50</td></tr><tr><th></th><td>♀</td><td>Mean (5)</td><td>8.76</td><td>1.82</td><td>0.47</td><td>1.03</td><td>1.00</td><td>2.23</td><td>1.08</td><td>2.91</td><td>5.03</td><td>0.56</td><td>0.61</td><td>0.87</td><td>3.76</td></tr><tr><th></th><td></td><td>SD</td><td>0.69</td><td>0.12</td><td>0.23</td><td>0.06</td><td>0.15</td><td>0.23</td><td>0.14</td><td>0.22</td><td>0.52</td><td>0.05</td><td>0.03</td><td>0.03</td><td>0.40</td></tr><tr><th></th><td></td><td>Minimum</td><td>7.91</td><td>1.68</td><td>0.32</td><td>0.98</td><td>0.87</td><td>1.97</td><td>0.97</td><td>2.63</td><td>4.36</td><td>0.51</td><td>0.57</td><td>0.84</td><td>3.31</td></tr><tr><th></th><td></td><td>Maximum</td><td>10.23</td><td>2.08</td><td>0.38</td><td>1.07</td><td>1.50</td><td>3.18</td><td>1.24</td><td>3.35</td><td>6.20</td><td>0.69</td><td>0.65</td><td>0.93</td><td>4.07</td></tr><tr><th><i>B. vestita</i></th><td>♀</td><td>Mean (5)</td><td>9.13</td><td>1.84</td><td>0.33</td><td>1.01</td><td>1.06</td><td>2.29</td><td>1.09</td><td>2.89</td><td>5.46</td><td>0.60</td><td>0.63</td><td>0.88</td><td>3.95</td></tr><tr><th></th><td></td><td>SD</td><td>0.30</td><td>0.18</td><td>0.03</td><td>0.02</td><td>0.04</td><td>0.17</td><td>0.06</td><td>0.13</td><td>0.14</td><td>0.03</td><td>0.03</td><td>0.03</td><td>0.16</td></tr><tr><th></th><td></td><td>Minimum</td><td>8.74</td><td>1.57</td><td>0.29</td><td>0.99</td><td>1.01</td><td>2.05</td><td>1.02</td><td>2.73</td><td>5.26</td><td>0.56</td><td>0.59</td><td>0.83</td><td>3.73</td></tr><tr><th></th><td></td><td>Maximum</td><td>9.54</td><td>2.04</td><td>0.38</td><td>1.04</td><td>1.12</td><td>2.46</td><td>1.18</td><td>3.08</td><td>5.58</td><td>0.64</td><td>0.67</td><td>0.92</td><td>4.15</td></tr><tr><th><b><i>Macrophysoderes</i> gen. nov.</b></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><td></td><td></td><td></td></tr><tr><th><i>M. cirripilosa</i> gen. et sp. nov.</th><td>♂</td><td>Mean (16)</td><td>8.7</td><td>1.66</td><td>0.34</td><td>0.98</td><td>0.95</td><td>2.24</td><td>1.01</td><td>2.82</td><td>5.32</td><td>0.46</td><td>0.62</td><td>0.85</td><td>3.25</td></tr><tr><th></th><td></td><td>SD</td><td>0.66</td><td>0.12</td><td>0.03</td><td>0.06</td><td>0.09</td><td>0.19</td><td>0.14</td><td>0.21</td><td>0.45</td><td>0.04</td><td>0.06</td><td>0.03</td><td>0.24</td></tr><tr><th></th><td></td><td>Minimum</td><td>7.8</td><td>1.45</td><td>0.29</td><td>0.84</td><td>0.81</td><td>1.88</td><td>0.77</td><td>2.4</td><td>4.71</td><td>0.4</td><td>0.56</td><td>0.79</td><td>2.72</td></tr><tr><th></th><td></td><td>Maximum</td><td>9.85</td><td>1.99</td><td>0.39</td><td>1.05</td><td>1.14</td><td>2.62</td><td>1.32</td><td>3.16</td><td>6.05</td><td>0.53</td><td>0.75</td><td>0.91</td><td>3.62</td></tr><tr><th></th><td>♀</td><td>Mean (21)</td><td>9.04</td><td>1.67</td><td>0.35</td><td>1.01</td><td>0.94</td><td>2.23</td><td>1.05</td><td>2.88</td><td>5.61</td><td>0.48</td><td>0.65</td><td>0.89</td><td>3.7</td></tr><tr><th></th><td></td><td>SD</td><td>1.12</td><td>0.19</td><td>0.05</td><td>0.09</td><td>0.12</td><td>0.27</td><td>0.15</td><td>0.31</td><td>0.8</td><td>0.05</td><td>0.06</td><td>0.07</td><td>0.42</td></tr><tr><th></th><td></td><td>Minimum</td><td>7.16</td><td>1.27</td><td>0.23</td><td>0.88</td><td>0.72</td><td>1.79</td><td>0.69</td><td>2.43</td><td>4.04</td><td>0.4</td><td>0.55</td><td>0.81</td><td>2.91</td></tr><tr><th></th><td></td><td>Maximum</td><td>11.01</td><td>1.97</td><td>0.46</td><td>1.17</td><td>1.15</td><td>2.79</td><td>1.28</td><td>3.47</td><td>7.04</td><td>0.58</td><td>0.79</td><td>1.04</td><td>4.43</td></tr><tr><th><i>M. elongata</i> gen. et sp. nov.</th><td>♂</td><td>Mean (5) SD Minimum Maximum</td><td>10.29 0.47 9.98 11.11</td><td>1.77 0.13 1.57 1.88</td><td>0.36 0.03 0.32 0.39</td><td>1.02 0.03 0.97 1.06</td><td>1.06 0.15 0.91 1.29</td><td>2.78 0.25 2.49 2.98</td><td>1.33 0.06 1.24 1.4</td><td>3.28 0.17 3.04 3.49</td><td>6.64 0.37 6.36 7.28</td><td>0.52 0.03 0.49 0.57</td><td>0.65 0.05 0.57 0.69</td><td>0.94 0.01 0.93 0.96</td><td>3.74 0.2 3.51 4.03</td></tr><tr><th></th><td>♀</td><td>Mean (4) SD Minimum Maximum</td><td>9.89 0.4 9.47 10.41</td><td>1.77 0.1 1.66 1.86</td><td>0.33 0.04 0.28 0.38</td><td>0.99 0.02 0.98 1.02</td><td>0.98 0.13 0.87 1.13</td><td>2.49 0.11 2.34 2.61</td><td>1.12 0.05 1.05 1.15</td><td>3.07 0.15 2.93 3.21</td><td>6.39 0.42 6.08 7</td><td>0.45 0.06 0.37 0.5</td><td>0.66 0 0.65 0.66</td><td>0.91 0.04 0.85 0.95</td><td>3.76 0.19 3.51 3.91</td></tr><tr><th><i>M. finisterre</i> gen. et sp. nov.</th><td>♂</td><td>Mean (5) SD Minimum Maximum</td><td>8.85 0.38 8.4 9.36</td><td>1.66 0.1 1.51 1.76</td><td>0.33 0.04 0.3 0.38</td><td>0.96 0.05 0.89 1.02</td><td>0.92 0.04 0.89 0.99</td><td>2.14 0.14 1.92 2.29</td><td>1.11 0.15 0.94 1.32</td><td>2.81 0.14 2.59 2.96</td><td>5.36 0.38 4.97 5.84</td><td>0.48 0.04 0.43 0.54</td><td>0.62 0.01 0.6 0.64</td><td>0.82 0.06 0.75 0.9</td><td>3.23 0.19 2.92 3.38</td></tr><tr><th></th><td>♀</td><td>Mean (5) SD Minimum Maximum</td><td>9.12 0.48 8.53 9.8</td><td>1.74 0.02 1.71 1.76</td><td>0.35 0.04 0.3 0.4</td><td>0.99 0.04 0.95 1.04</td><td>0.98 0.07 0.91 1.08</td><td>2.14 0.13 2.05 2.36</td><td>1.12 0.14 0.98 1.35</td><td>2.86 0.18 2.74 3.18</td><td>5.52 0.39 4.94 5.97</td><td>0.48 0.05 0.43 0.55</td><td>0.64 0.04 0.6 0.67</td><td>0.85 0.04 0.8 0.92</td><td>3.7 0.25 3.43 4.11</td></tr><tr><th><i>M. histrionica</i></th><td>♂</td><td>00018520</td><td>8.5</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>2.8</td><td>5</td><td>-</td><td>-</td><td>-</td><td>-</td></tr><tr><th><i>M. grandis</i> gen. et sp. nov.</th><td>♂ ♀</td><td>00052314 00073625</td><td>11.58 12.66</td><td>1.59 2.02</td><td>0.48 0.5</td><td>1.31 1.33</td><td>1.03 1.33</td><td>2.65 2.82</td><td>1.64 1.69</td><td>3.74 4.03</td><td>7.71 8.21</td><td>0.75 0.75</td><td>0.62 0.67</td><td>1.01 1.01</td><td>4.28 4.86</td></tr><tr><th><i>M. modesta</i></th><td>♂ ♀</td><td>00069386 00069384</td><td>9.45 -1.82</td><td>1.94 2.13</td><td>0.35 0.36</td><td>1.06 1.28</td><td>1.08 1.24</td><td>2.14 2.56</td><td>1.27 1.52</td><td>2.95 3.71</td><td>5.49 7.37</td><td>0.52 0.58</td><td>0.59 0.73</td><td>0.88 0.96</td><td>3.46 4.47</td></tr><tr><th><i>M. monticola</i></th><td>♂ ♀</td><td>00069387 Mean (3) SD Minimum Maximum</td><td>10.34 9.88 0.72 9.11 10.53</td><td>1.81 1.98 0.11 1.89 2.11</td><td>0.29 0.35 0.01 0.34 0.37</td><td>1.06 1.08 0.06 1.02 1.13</td><td>0.96 0.93 0.09 0.84 1</td><td>2.29 2.32 0.2 2.1 2.48</td><td>1.37 1.26 0.22 1.06 1.49</td><td>3.36 3.24 0.29 2.93 3.51</td><td>6.35 5.99 0.3 5.65 6.21</td><td>0.49 0.47 0.02 0.44 0.49</td><td>0.63 0.66 0.04 0.62 0.69</td><td>0.91 0.93 0.02 0.91 0.96</td><td>4.19 4 0.34 3.68 4.36</td></tr><tr><th><b><i>Nanophysoderes</i> gen. nov.</b> <i>N. dentiscutum</i></th><td>♂</td><td>00037370</td><td>7.66</td><td>1.55</td><td>0.33</td><td>0.89</td><td>0.76</td><td>1.86</td><td>0.86</td><td>2.34</td><td>4.58</td><td>0.42</td><td>0.52</td><td>0.79</td><td>2.8</td></tr><tr><th><i>Paraphysoderes</i></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><td></td><td></td><td></td></tr><tr><th><i>Pa. popeye</i> sp. nov.</th><td>♂</td><td>00073584</td><td>7.09</td><td>1.27</td><td>0.26</td><td>0.83</td><td>0.78</td><td>1.57</td><td>0.84</td><td>2.22</td><td>4.35</td><td>0.43</td><td>0.59</td><td>0.69</td><td>2.56</td></tr><tr><th></th><td>♀</td><td>Mean (5)</td><td>7.89</td><td>1.55</td><td>0.29</td><td>0.98</td><td>1</td><td>1.96</td><td>0.84</td><td>2.61</td><td>4.69</td><td>0.51</td><td>0.66</td><td>0.76</td><td>3.32</td></tr><tr><th></th><td></td><td>SD</td><td>0.44</td><td>0.21</td><td>0.02</td><td>0.02</td><td>0.06</td><td>0.18</td><td>0.07</td><td>0.14</td><td>0.23</td><td>0.07</td><td>0.03</td><td>0.01</td><td>0.14</td></tr><tr><th></th><td></td><td>Minimum</td><td>7.47</td><td>1.25</td><td>0.27</td><td>0.95</td><td>0.95</td><td>1.8</td><td>0.76</td><td>2.5</td><td>4.46</td><td>0.42</td><td>0.63</td><td>0.75</td><td>3.17</td></tr><tr><th></th><td></td><td>Maximum</td><td>8.41</td><td>1.83</td><td>0.33</td><td>1.01</td><td>1.1</td><td>2.25</td><td>0.93</td><td>2.77</td><td>5.02</td><td>0.61</td><td>0.69</td><td>0.78</td><td>3.54</td></tr><tr><th><i>Physoderes</i></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><td></td><td></td><td></td></tr><tr><th><i>P.anamalaiensis</i> sp. nov.</th><td>♂</td><td>Mean (5)</td><td>9.27</td><td>1.93</td><td>0.32</td><td>1.01</td><td>1.33</td><td>2.85</td><td>0.87</td><td>2.83</td><td>5.44</td><td>0.49</td><td>0.65</td><td>0.85</td><td>3.56</td></tr><tr><th></th><td></td><td>SD</td><td>0.36</td><td>0.04</td><td>0.02</td><td>0.03</td><td>0.09</td><td>0.29</td><td>0.11</td><td>0.16</td><td>0.19</td><td>0.04</td><td>0.01</td><td>0.03</td><td>0.13</td></tr><tr><th></th><td></td><td>Minimum</td><td>8.91</td><td>1.87</td><td>0.28</td><td>0.98</td><td>1.23</td><td>2.45</td><td>0.73</td><td>2.64</td><td>5.17</td><td>0.42</td><td>0.64</td><td>0.82</td><td>3.41</td></tr><tr><th></th><td></td><td>Maximum</td><td>9.82</td><td>1.97</td><td>0.35</td><td>1.05</td><td>1.46</td><td>3.1</td><td>1.02</td><td>2.96</td><td>5.62</td><td>0.53</td><td>0.67</td><td>0.89</td><td>3.74</td></tr><tr><th></th><td>♀</td><td>Mean (5)</td><td>9.13</td><td>1.97</td><td>0.33</td><td>0.97</td><td>1.13</td><td>2.51</td><td>0.96</td><td>2.84</td><td>5.24</td><td>0.49</td><td>0.63</td><td>0.87</td><td>3.77</td></tr><tr><th></th><td></td><td>SD</td><td>0.27</td><td>0.12</td><td>0.03</td><td>0.04</td><td>0.05</td><td>0.15</td><td>0.15</td><td>0.09</td><td>0.18</td><td>0.03</td><td>0.08</td><td>0.02</td><td>0.19</td></tr><tr><th></th><td></td><td>Minimum</td><td>8.92</td><td>1.85</td><td>0.3</td><td>0.94</td><td>1.07</td><td>2.31</td><td>0.77</td><td>2.75</td><td>5.03</td><td>0.47</td><td>0.54</td><td>0.85</td><td>3.55</td></tr><tr><th></th><td></td><td>Maximum</td><td>9.59</td><td>2.14</td><td>0.36</td><td>1.03</td><td>1.17</td><td>2.72</td><td>1.1</td><td>2.99</td><td>5.48</td><td>0.53</td><td>0.74</td><td>0.91</td><td>4.07</td></tr><tr><th><i>P. azrael</i></th><td>♂</td><td>Mean (5)</td><td>8.58</td><td>1.63</td><td>0.3</td><td>0.89</td><td>0.97</td><td>2.58</td><td>0.94</td><td>2.75</td><td>5.29</td><td>0.39</td><td>0.59</td><td>0.85</td><td>3.1</td></tr><tr><th></th><td></td><td>SD</td><td>0.16</td><td>0.08</td><td>0.02</td><td>0.02</td><td>0.06</td><td>0.18</td><td>0.07</td><td>0.11</td><td>0.15</td><td>0.02</td><td>0.03</td><td>0.03</td><td>0.13</td></tr><tr><th></th><td></td><td>Minimum</td><td>8.39</td><td>1.52</td><td>0.27</td><td>0.86</td><td>0.9</td><td>2.33</td><td>0.83</td><td>2.6</td><td>5.11</td><td>0.36</td><td>0.55</td><td>0.82</td><td>2.94</td></tr><tr><th></th><td></td><td>Maximum</td><td>8.76</td><td>1.7</td><td>0.32</td><td>0.91</td><td>1.05</td><td>2.71</td><td>1</td><td>2.87</td><td>5.49</td><td>0.41</td><td>0.62</td><td>0.88</td><td>3.24</td></tr><tr><th></th><td>♀</td><td>Mean (5)</td><td>8.61</td><td>1.61</td><td>0.29</td><td>0.89</td><td>0.86</td><td>2.13</td><td>0.92</td><td>2.68</td><td>5.41</td><td>0.42</td><td>0.6</td><td>0.86</td><td>3.21</td></tr><tr><th></th><td></td><td>SD</td><td>0.27</td><td>0.06</td><td>0.02</td><td>0.04</td><td>0.04</td><td>0.07</td><td>0.04</td><td>0.09</td><td>0.19</td><td>0.05</td><td>0.03</td><td>0.02</td><td>0.06</td></tr><tr><th></th><td></td><td>Minimum</td><td>8.14</td><td>1.51</td><td>0.26</td><td>0.83</td><td>0.8</td><td>2.04</td><td>0.85</td><td>2.55</td><td>5.13</td><td>0.36</td><td>0.55</td><td>0.84</td><td>3.13</td></tr><tr><th></th><td></td><td>Maximum</td><td>8.83</td><td>1.67</td><td>0.31</td><td>0.93</td><td>0.91</td><td>2.22</td><td>0.96</td><td>2.77</td><td>5.64</td><td>0.49</td><td>0.62</td><td>0.88</td><td>3.26</td></tr><tr><th><i>P. brevipennis</i> sp. nov.</th><td>♂</td><td>Mean (5)</td><td>6.61</td><td>1.77</td><td>0.3</td><td>0.93</td><td>1.28</td><td>2.98</td><td>0.78</td><td>2.6</td><td>2.72</td><td>0.49</td><td>0.6</td><td>0.87</td><td>3.44</td></tr><tr><th></th><td></td><td>SD</td><td>0.35</td><td>0.14</td><td>0.03</td><td>0.04</td><td>0.1</td><td>0.2</td><td>0.05</td><td>0.14</td><td>0.27</td><td>0.03</td><td>0.05</td><td>0.04</td><td>0.24</td></tr><tr><th></th><td></td><td>Minimum</td><td>6.08</td><td>1.67</td><td>0.27</td><td>0.88</td><td>1.21</td><td>2.76</td><td>0.71</td><td>2.47</td><td>2.41</td><td>0.46</td><td>0.53</td><td>0.81</td><td>3.19</td></tr><tr><th></th><td></td><td>Maximum</td><td>7.07</td><td>2.01</td><td>0.34</td><td>0.98</td><td>1.44</td><td>3.25</td><td>0.82</td><td>2.8</td><td>3.05</td><td>0.53</td><td>0.65</td><td>0.91</td><td>3.83</td></tr><tr><th></th><td>♀</td><td>Mean (5)</td><td>6.53</td><td>1.69</td><td>0.31</td><td>0.96</td><td>1.11</td><td>2.49</td><td>0.81</td><td>2.54</td><td>2.71</td><td>0.49</td><td>0.64</td><td>0.89</td><td>3.8</td></tr><tr><th></th><td></td><td>SD</td><td>0.17</td><td>0.15</td><td>0.04</td><td>0.04</td><td>0.09</td><td>0.18</td><td>0.08</td><td>0.13</td><td>0.27</td><td>0.03</td><td>0.03</td><td>0.03</td><td>0.32</td></tr><tr><th></th><td></td><td>Minimum</td><td>6.29</td><td>1.49</td><td>0.25</td><td>0.91</td><td>0.98</td><td>2.19</td><td>0.73</td><td>2.31</td><td>2.31</td><td>0.46</td><td>0.59</td><td>0.84</td><td>3.42</td></tr><tr><th></th><td></td><td>Maximum</td><td>6.73</td><td>1.87</td><td>0.34</td><td>1.01</td><td>1.2</td><td>2.65</td><td>0.91</td><td>2.66</td><td>2.97</td><td>0.54</td><td>0.68</td><td>0.93</td><td>4.14</td></tr><tr><th><i>P. curculionis</i></th><td>♂</td><td>Mean (7)</td><td>7.64</td><td>1.56</td><td>0.28</td><td>0.86</td><td>1.02</td><td>2.53</td><td>0.78</td><td>2.59</td><td>4.48</td><td>0.37</td><td>0.59</td><td>0.81</td><td>3</td></tr><tr><th></th><td></td><td>SD</td><td>0.21</td><td>0.07</td><td>0.01</td><td>0.02</td><td>0.06</td><td>0.15</td><td>0.1</td><td>0.08</td><td>0.18</td><td>0.06</td><td>0.03</td><td>0.02</td><td>0.21</td></tr><tr><th></th><td></td><td>Minimum</td><td>7.37</td><td>1.46</td><td>0.27</td><td>0.82</td><td>0.94</td><td>2.37</td><td>0.64</td><td>2.5</td><td>4.15</td><td>0.27</td><td>0.54</td><td>0.78</td><td>2.68</td></tr><tr><th></th><td></td><td>Maximum</td><td>7.9</td><td>1.67</td><td>0.29</td><td>0.88</td><td>1.11</td><td>2.74</td><td>0.93</td><td>2.69</td><td>4.63</td><td>0.44</td><td>0.65</td><td>0.83</td><td>3.35</td></tr><tr><th></th><td>♀</td><td>Mean (9)</td><td>7.47</td><td>1.52</td><td>0.27</td><td>0.86</td><td>0.91</td><td>2.19</td><td>0.86</td><td>2.54</td><td>4.46</td><td>0.39</td><td>0.58</td><td>0.82</td><td>3.14</td></tr><tr><th></th><td></td><td>SD</td><td>0.17</td><td>0.07</td><td>0.03</td><td>0.04</td><td>0.08</td><td>0.1</td><td>0.08</td><td>0.09</td><td>0.16</td><td>0.03</td><td>0.03</td><td>0.03</td><td>0.26</td></tr><tr><th></th><td></td><td>Minimum</td><td>7.23</td><td>1.38</td><td>0.23</td><td>0.82</td><td>0.79</td><td>2.07</td><td>0.72</td><td>2.46</td><td>4.12</td><td>0.36</td><td>0.53</td><td>0.77</td><td>2.5</td></tr><tr><th></th><td></td><td>Maximum</td><td>7.68</td><td>1.61</td><td>0.32</td><td>0.92</td><td>1.07</td><td>2.36</td><td>1.01</td><td>2.7</td><td>4.68</td><td>0.44</td><td>0.63</td><td>0.85</td><td>3.39</td></tr><tr><th><i>P. fuliginosa</i></th><td>♂</td><td>Mean (5)</td><td>10.47</td><td>2.01</td><td>0.34</td><td>0.99</td><td>1.45</td><td>3.42</td><td>1.15</td><td>3.31</td><td>6.24</td><td>0.55</td><td>0.65</td><td>0.94</td><td>3.82</td></tr><tr><th></th><td></td><td>SD</td><td>0.54</td><td>0.08</td><td>0.03</td><td>0.05</td><td>0.2</td><td>0.54</td><td>0.09</td><td>0.23</td><td>0.36</td><td>0.02</td><td>0.07</td><td>0.05</td><td>0.28</td></tr><tr><th></th><td></td><td>Minimum</td><td>9.84</td><td>1.89</td><td>0.29</td><td>0.93</td><td>1.22</td><td>2.85</td><td>1.06</td><td>3.1</td><td>5.84</td><td>0.52</td><td>0.56</td><td>0.89</td><td>3.54</td></tr><tr><th></th><td></td><td>Maximum</td><td>11.03</td><td>2.08</td><td>0.36</td><td>1.04</td><td>1.69</td><td>4</td><td>1.28</td><td>3.63</td><td>6.56</td><td>0.57</td><td>0.74</td><td>1.01</td><td>4.19</td></tr><tr><th></th><td>♀</td><td>Mean (5)</td><td>10.14</td><td>2</td><td>0.38</td><td>1.01</td><td>1</td><td>2.39</td><td>1.34</td><td>3.2</td><td>6.2</td><td>0.5</td><td>0.64</td><td>0.92</td><td>4.04</td></tr><tr><th></th><td></td><td>SD</td><td>0.49</td><td>0.05</td><td>0.04</td><td>0.07</td><td>0.08</td><td>0.18</td><td>0.12</td><td>0.15</td><td>0.37</td><td>0.03</td><td>0.06</td><td>0.04</td><td>0.26</td></tr><tr><th></th><td></td><td>Minimum</td><td>9.59</td><td>1.92</td><td>0.33</td><td>0.93</td><td>0.9</td><td>2.19</td><td>1.22</td><td>3</td><td>5.72</td><td>0.49</td><td>0.59</td><td>0.88</td><td>3.8</td></tr><tr><th></th><td></td><td>Maximum</td><td>10.89</td><td>2.03</td><td>0.44</td><td>1.12</td><td>1.1</td><td>2.6</td><td>1.54</td><td>3.4</td><td>6.68</td><td>0.55</td><td>0.74</td><td>0.98</td><td>4.47</td></tr><tr><th><i>P.minime</i> sp. nov.</th><td>♂</td><td>Mean (5)</td><td>8.64</td><td>2.01</td><td>0.31</td><td>0.89</td><td>1.23</td><td>2.83</td><td>0.98</td><td>2.74</td><td>4.72</td><td>0.52</td><td>0.61</td><td>0.86</td><td>3.3</td></tr><tr><th></th><td></td><td>SD</td><td>0.28</td><td>0.08</td><td>0.01</td><td>0.01</td><td>0.05</td><td>0.09</td><td>0.06</td><td>0.08</td><td>0.23</td><td>0.03</td><td>0.03</td><td>0.01</td><td>0.1</td></tr><tr><th></th><td></td><td>Minimum</td><td>8.31</td><td>1.9</td><td>0.29</td><td>0.88</td><td>1.18</td><td>2.73</td><td>0.93</td><td>2.64</td><td>4.54</td><td>0.49</td><td>0.55</td><td>0.84</td><td>3.19</td></tr><tr><th></th><td></td><td>Maximum</td><td>9.03</td><td>2.12</td><td>0.32</td><td>0.9</td><td>1.28</td><td>2.97</td><td>1.07</td><td>2.82</td><td>5.13</td><td>0.56</td><td>0.62</td><td>0.87</td><td>3.46</td></tr><tr><th></th><td>♀</td><td>Mean (5)</td><td>8.29</td><td>1.88</td><td>0.3</td><td>0.87</td><td>0.89</td><td>2.07</td><td>1.04</td><td>2.6</td><td>4.77</td><td>0.49</td><td>0.57</td><td>0.87</td><td>3.58</td></tr><tr><th></th><td></td><td>SD</td><td>0.16</td><td>0.14</td><td>0.05</td><td>0.06</td><td>0.06</td><td>0.08</td><td>0.09</td><td>0.1</td><td>0.26</td><td>0.02</td><td>0.09</td><td>0.04</td><td>0.16</td></tr><tr><th></th><td></td><td>Minimum</td><td>8.1</td><td>1.7</td><td>0.25</td><td>0.79</td><td>0.81</td><td>1.98</td><td>0.96</td><td>2.48</td><td>4.48</td><td>0.47</td><td>0.49</td><td>0.82</td><td>3.31</td></tr><tr><th></th><td></td><td>Maximum</td><td>8.54</td><td>2.05</td><td>0.38</td><td>0.94</td><td>0.98</td><td>2.15</td><td>1.19</td><td>2.7</td><td>5.11</td><td>0.51</td><td>0.69</td><td>0.94</td><td>3.71</td></tr><tr><th><i>P. muluensis</i> sp. nov.</th><td>♂</td><td>Mean (4)</td><td>7.35</td><td>1.73</td><td>0.3</td><td>0.91</td><td>0.9</td><td>1.95</td><td>0.95</td><td>2.43</td><td>3.96</td><td>0.49</td><td>0.56</td><td>0.82</td><td>2.83</td></tr><tr><th></th><td></td><td>SD</td><td>0.27</td><td>0.18</td><td>0.03</td><td>0.06</td><td>0.12</td><td>0.11</td><td>0.03</td><td>0.13</td><td>0.3</td><td>0.03</td><td>0.03</td><td>0.09</td><td>0.18</td></tr><tr><th></th><td></td><td>Minimum</td><td>6.99</td><td>1.46</td><td>0.27</td><td>0.84</td><td>0.77</td><td>1.82</td><td>0.93</td><td>2.26</td><td>3.61</td><td>0.46</td><td>0.53</td><td>0.74</td><td>2.61</td></tr><tr><th></th><td></td><td>Maximum</td><td>7.59</td><td>1.87</td><td>0.33</td><td>0.96</td><td>1.04</td><td>2.08</td><td>0.99</td><td>2.56</td><td>4.35</td><td>0.53</td><td>0.6</td><td>0.93</td><td>3.01</td></tr><tr><th></th><td>♀</td><td>Mean (3)</td><td>7.92</td><td>1.75</td><td>0.3</td><td>0.95</td><td>1</td><td>2.05</td><td>0.95</td><td>2.59</td><td>4.32</td><td>0.48</td><td>0.64</td><td>0.85</td><td>3.34</td></tr><tr><th></th><td></td><td>SD</td><td>0.27</td><td>0.07</td><td>0.03</td><td>0.05</td><td>0.05</td><td>0.09</td><td>0.09</td><td>0.04</td><td>0.26</td><td>0.05</td><td>0.06</td><td>0.03</td><td>0.08</td></tr><tr><th></th><td></td><td>Minimum</td><td>7.67</td><td>1.72</td><td>0.27</td><td>0.89</td><td>0.95</td><td>1.98</td><td>0.9</td><td>2.55</td><td>4.02</td><td>0.45</td><td>0.57</td><td>0.81</td><td>3.28</td></tr><tr><th></th><td></td><td>Maximum</td><td>8.21</td><td>1.83</td><td>0.32</td><td>0.99</td><td>1.06</td><td>2.15</td><td>1.06</td><td>2.62</td><td>4.5</td><td>0.54</td><td>0.69</td><td>0.87</td><td>3.43</td></tr><tr><th><i>P. mysorensis</i> sp. nov.</th><td>♂</td><td>Mean (3)</td><td>10.82</td><td>2.05</td><td>0.36</td><td>1.07</td><td>1.62</td><td>3.69</td><td>1.12</td><td>3.54</td><td>6.43</td><td>0.58</td><td>0.72</td><td>0.93</td><td>4.14</td></tr><tr><th></th><td></td><td>SD</td><td>0.14</td><td>0.11</td><td>0.08</td><td>0.05</td><td>0.1</td><td>0.26</td><td>0.1</td><td>0.12</td><td>0.21</td><td>0</td><td>0.01</td><td>0.04</td><td>0.32</td></tr><tr><th></th><td></td><td>Minimum</td><td>10.69</td><td>1.92</td><td>0.27</td><td>1.03</td><td>1.51</td><td>3.44</td><td>1.01</td><td>3.41</td><td>6.3</td><td>0.57</td><td>0.71</td><td>0.89</td><td>3.92</td></tr><tr><th></th><td></td><td>Maximum</td><td>10.96</td><td>2.14</td><td>0.42</td><td>1.12</td><td>1.71</td><td>3.95</td><td>1.21</td><td>3.63</td><td>6.67</td><td>0.58</td><td>0.73</td><td>0.97</td><td>4.37</td></tr><tr><th></th><td>♀</td><td>Mean (2)</td><td>10.7</td><td>2.08</td><td>0.34</td><td>1.08</td><td>1.45</td><td>3.11</td><td>1.17</td><td>3.56</td><td>6.48</td><td>0.58</td><td>0.66</td><td>1</td><td>4.3</td></tr><tr><th></th><td></td><td>SD</td><td>0.25</td><td>0.11</td><td>0.04</td><td>0.06</td><td>0.14</td><td>0.08</td><td>0.17</td><td>0.07</td><td>0.05</td><td>0.03</td><td>0.11</td><td>0.01</td><td>NA</td></tr><tr><th></th><td></td><td>Minimum</td><td>10.52</td><td>2</td><td>0.32</td><td>1.04</td><td>1.35</td><td>3.05</td><td>1.05</td><td>3.51</td><td>6.45</td><td>0.56</td><td>0.58</td><td>1</td><td>4.3</td></tr><tr><th></th><td></td><td>Maximum</td><td>10.88</td><td>2.15</td><td>0.36</td><td>1.12</td><td>1.56</td><td>3.16</td><td>1.29</td><td>3.61</td><td>6.52</td><td>0.61</td><td>0.74</td><td>1.01</td><td>4.3</td></tr><tr><th><i>P.nigripennis</i> sp. nov.</th><td>♂</td><td>Mean (5)</td><td>9.12</td><td>1.89</td><td>0.34</td><td>1.02</td><td>0.9</td><td>2.17</td><td>1.24</td><td>2.95</td><td>5.27</td><td>0.53</td><td>0.59</td><td>0.85</td><td>3.42</td></tr><tr><th></th><td></td><td>SD</td><td>0.29</td><td>0.08</td><td>0.03</td><td>0.05</td><td>0.07</td><td>0.09</td><td>0.07</td><td>0.1</td><td>0.16</td><td>0.07</td><td>0.05</td><td>0.04</td><td>0.22</td></tr><tr><th></th><td></td><td>Minimum</td><td>8.76</td><td>1.77</td><td>0.29</td><td>0.96</td><td>0.83</td><td>2.04</td><td>1.13</td><td>2.82</td><td>5.09</td><td>0.46</td><td>0.53</td><td>0.79</td><td>3.16</td></tr><tr><th></th><td></td><td>Maximum</td><td>9.48</td><td>1.95</td><td>0.36</td><td>1.09</td><td>1</td><td>2.28</td><td>1.32</td><td>3.07</td><td>5.45</td><td>0.65</td><td>0.66</td><td>0.89</td><td>3.72</td></tr><tr><th></th><td>♀</td><td>Mean (5)</td><td>10.05</td><td>1.9</td><td>0.35</td><td>1.13</td><td>0.94</td><td>2.3</td><td>1.4</td><td>3.32</td><td>6.07</td><td>0.6</td><td>0.64</td><td>0.92</td><td>4.17</td></tr><tr><th></th><td></td><td>SD</td><td>0.41</td><td>0.04</td><td>0.02</td><td>0.02</td><td>0.09</td><td>0.08</td><td>0.1</td><td>0.11</td><td>0.47</td><td>0.09</td><td>0.03</td><td>0.02</td><td>0.14</td></tr><tr><th></th><td></td><td>Minimum</td><td>9.6</td><td>1.88</td><td>0.33</td><td>1.1</td><td>0.83</td><td>2.22</td><td>1.32</td><td>3.2</td><td>5.65</td><td>0.51</td><td>0.62</td><td>0.89</td><td>4.05</td></tr><tr><th></th><td></td><td>Maximum</td><td>10.65</td><td>1.97</td><td>0.37</td><td>1.16</td><td>1.05</td><td>2.4</td><td>1.56</td><td>3.49</td><td>6.8</td><td>0.71</td><td>0.67</td><td>0.93</td><td>4.41</td></tr><tr><th><i>P. nigroalbus</i></th><td>♀</td><td>00040566</td><td>9.74</td><td>1.88</td><td>0.29</td><td>1</td><td>1.03</td><td>2.24</td><td>1.17</td><td>2.95</td><td>6.01</td><td>0.41</td><td>0.66</td><td>0.94</td><td>3.66</td></tr><tr><th><i>P. notata</i></th><td>♂</td><td>Mean (5)</td><td>9.94</td><td>1.81</td><td>0.32</td><td>1.02</td><td>1.24</td><td>3.17</td><td>1.25</td><td>3.14</td><td>6.08</td><td>0.45</td><td>0.63</td><td>0.91</td><td>3.61</td></tr><tr><th></th><td></td><td>SD</td><td>0.3</td><td>0.12</td><td>0.02</td><td>0.04</td><td>0.09</td><td>0.26</td><td>0.09</td><td>0.08</td><td>0.2</td><td>0.04</td><td>0.04</td><td>0.06</td><td>0.24</td></tr><tr><th></th><td></td><td>Minimum</td><td>9.44</td><td>1.7</td><td>0.29</td><td>0.97</td><td>1.12</td><td>2.89</td><td>1.17</td><td>3.06</td><td>5.75</td><td>0.41</td><td>0.57</td><td>0.84</td><td>3.34</td></tr><tr><th></th><td></td><td>Maximum</td><td>10.22</td><td>1.99</td><td>0.34</td><td>1.08</td><td>1.35</td><td>3.51</td><td>1.4</td><td>3.26</td><td>6.3</td><td>0.51</td><td>0.66</td><td>1.01</td><td>3.87</td></tr><tr><th></th><td>♀</td><td>Mean (5)</td><td>9.94</td><td>1.8</td><td>0.32</td><td>1.05</td><td>0.96</td><td>2.45</td><td>1.31</td><td>3.17</td><td>6.28</td><td>0.46</td><td>0.66</td><td>0.93</td><td>3.73</td></tr><tr><th></th><td></td><td>SD</td><td>0.31</td><td>0.15</td><td>0.03</td><td>0.04</td><td>0.1</td><td>0.09</td><td>0.18</td><td>0.15</td><td>0.25</td><td>0.04</td><td>0.04</td><td>0.04</td><td>0.23</td></tr><tr><th></th><td></td><td>Minimum</td><td>9.54</td><td>1.62</td><td>0.3</td><td>1.01</td><td>0.84</td><td>2.35</td><td>1.06</td><td>3</td><td>5.93</td><td>0.42</td><td>0.62</td><td>0.88</td><td>3.38</td></tr><tr><th></th><td></td><td>Maximum</td><td>10.3</td><td>1.99</td><td>0.37</td><td>1.1</td><td>1.12</td><td>2.57</td><td>1.51</td><td>3.33</td><td>6.51</td><td>0.51</td><td>0.73</td><td>0.98</td><td>3.94</td></tr><tr><th><i>P.ractepilosa</i> sp. nov.</th><td>♂</td><td>Mean (2)</td><td>8.93</td><td>1.86</td><td>0.37</td><td>0.86</td><td>0.9</td><td>2.13</td><td>1</td><td>2.74</td><td>5.51</td><td>0.47</td><td>0.5</td><td>0.85</td><td>3.39</td></tr><tr><th></th><td></td><td>SD</td><td>0.49</td><td>0.15</td><td>0.03</td><td>0</td><td>0.17</td><td>0.12</td><td>0.3</td><td>0.14</td><td>0.6</td><td>0.05</td><td>0.14</td><td>0.07</td><td>0.25</td></tr><tr><th></th><td></td><td>Minimum</td><td>8.59</td><td>1.75</td><td>0.34</td><td>0.86</td><td>0.77</td><td>2.04</td><td>0.79</td><td>2.64</td><td>5.09</td><td>0.44</td><td>0.4</td><td>0.8</td><td>3.21</td></tr><tr><th></th><td></td><td>Maximum</td><td>9.27</td><td>1.96</td><td>0.39</td><td>0.86</td><td>1.02</td><td>2.21</td><td>1.21</td><td>2.83</td><td>5.93</td><td>0.5</td><td>0.6</td><td>0.9</td><td>3.57</td></tr><tr><th></th><td>♀</td><td>Mean (5)</td><td>9.19</td><td>1.99</td><td>0.37</td><td>0.93</td><td>0.9</td><td>2.23</td><td>1.1</td><td>2.99</td><td>5.47</td><td>0.51</td><td>0.55</td><td>0.84</td><td>3.86</td></tr><tr><th></th><td></td><td>SD</td><td>0.67</td><td>0.1</td><td>0.02</td><td>0.03</td><td>0.06</td><td>0.13</td><td>0.12</td><td>0.21</td><td>0.47</td><td>0.04</td><td>0.07</td><td>0.01</td><td>0.26</td></tr><tr><th></th><td></td><td>Minimum</td><td>8.32</td><td>1.83</td><td>0.34</td><td>0.89</td><td>0.82</td><td>2.02</td><td>0.97</td><td>2.66</td><td>4.89</td><td>0.44</td><td>0.43</td><td>0.81</td><td>3.44</td></tr><tr><th></th><td></td><td>Maximum</td><td>10.19</td><td>2.08</td><td>0.4</td><td>0.97</td><td>0.97</td><td>2.37</td><td>1.27</td><td>3.22</td><td>6.2</td><td>0.56</td><td>0.6</td><td>0.85</td><td>4.1</td></tr><tr><th><i>P. tricolor</i> sp. nov.</th><td>♂</td><td>Mean (2)</td><td>8.66</td><td>1.58</td><td>0.29</td><td>0.91</td><td>0.99</td><td>2.47</td><td>1.17</td><td>2.65</td><td>5.3</td><td>0.42</td><td>0.54</td><td>0.84</td><td>2.92</td></tr><tr><th></th><td></td><td>SD</td><td>0.16</td><td>0.04</td><td>0.01</td><td>0.05</td><td>0.09</td><td>0.07</td><td>0.01</td><td>0.05</td><td>0.05</td><td>0</td><td>0.03</td><td>0.02</td><td>0.17</td></tr><tr><th></th><td></td><td>Minimum</td><td>8.55</td><td>1.56</td><td>0.29</td><td>0.88</td><td>0.93</td><td>2.42</td><td>1.16</td><td>2.61</td><td>5.26</td><td>0.42</td><td>0.51</td><td>0.82</td><td>2.8</td></tr><tr><th></th><td></td><td>Maximum</td><td>8.77</td><td>1.61</td><td>0.3</td><td>0.95</td><td>1.05</td><td>2.52</td><td>1.17</td><td>2.68</td><td>5.33</td><td>0.42</td><td>0.56</td><td>0.86</td><td>3.04</td></tr><tr><th></th><td>♀</td><td>Mean (3)</td><td>9.33</td><td>1.7</td><td>0.31</td><td>0.92</td><td>0.9</td><td>2.17</td><td>1.13</td><td>2.77</td><td>5.6</td><td>0.39</td><td>0.6</td><td>0.85</td><td>3.2</td></tr><tr><th></th><td></td><td>SD</td><td>0.74</td><td>0.03</td><td>0.02</td><td>0.01</td><td>0.02</td><td>0.09</td><td>0.13</td><td>0.1</td><td>0.23</td><td>0.04</td><td>0.02</td><td>0.04</td><td>0.19</td></tr><tr><th></th><td></td><td>Minimum</td><td>8.7</td><td>1.67</td><td>0.29</td><td>0.91</td><td>0.88</td><td>2.07</td><td>1.02</td><td>2.66</td><td>5.44</td><td>0.35</td><td>0.58</td><td>0.8</td><td>2.98</td></tr><tr><th></th><td></td><td>Maximum</td><td>10.15</td><td>1.73</td><td>0.32</td><td>0.93</td><td>0.92</td><td>2.25</td><td>1.28</td><td>2.86</td><td>5.76</td><td>0.42</td><td>0.61</td><td>0.87</td><td>3.34</td></tr></tbody></table>
A practical approach to measuring the acoustic diversity by community ecology methods
<p>The study of the diversity of animal signals on within- and among-species levels is the key to uncover mechanisms that shape the evolution of communication systems. However, the methods used to quantify acoustic diversity (like repertoire size) lack to grasp several aspects of acoustic diversity. Here, we propose a new framework for the study of animal communication, in which we decompose the acoustic diversity with the methodological toolbox from community ecology.</p> <p>We explore how different diversity estimates reflecting different aspects of acoustic diversity can be applied to characterise the complexity of acoustic signals. We propose that this approach can be used in a wide range of animal taxa to derive further insights about the function and evolution of communication systems besides the traditional methods.</p> <p>To illustrate the use of our approach in a case study, we used the song of collared flycatcher (<em>Ficedula albicollis)</em> as a model system. Based on three frequency and time variables, we calculated three diversity indies (FRic, FEve, and FDiv) to characterise the distribution of song elements (syllables) in the acoustic parameter space. We aimed to uncover the interrelations of diversity indices, reveal the degree of among-individual consistency, and investigate their relationships with certain aspects of individual quality.</p> <p>We found that the chosen diversity indices were largely independent from each other and showed different consistency patterns that were timescale dependent indicating different signalling potential of individual-specific attributes. We also found that FEve strongly related to the age of males. Our case study showed that decomposing the diversity into different components can reveal additional biologically meaningful aspects of birdsong.</p>
Data from: Diversity measures in environmental sequences are highly dependent on alignment quality—data from ITS and new LSU primers targeting basidiomycetes
The ribosomal DNA comprised of the ITS1-5.8S-ITS2 regions is widely used as a fungal marker in molecular ecology and systematics but cannot be aligned with confidence across genetically distant taxa. In order to study the diversity of Agaricomycotina in forest soils, we designed primers targeting the more alignable 28S (LSU) gene, which should be more useful for phylogenetic analyses of the detected taxa. This paper compares the performance of the established ITS1F/4B primer pair, which targets basidiomycetes, to that of two new pairs. Key factors in the comparison were the diversity covered, off-target amplification, rarefaction at different Operational Taxonomic Unit (OTU) cutoff levels, sensitivity of the method used to process the alignment to missing data and insecure positional homology, and the congruence of monophyletic clades with OTU assignments and BLAST-derived OTU names. The ITS primer pair yielded no off-target amplification but also exhibited the least fidelity to the expected phylogenetic groups. The LSU primers give complementary pictures of diversity, but were more sensitive to modifications of the alignment such as the removal of difficult-to align stretches. The LSU primers also yielded greater numbers of singletons but also had a greater tendency to produce OTUs containing sequences from a wider variety of species as judged by BLAST similarity. We introduced some new parameters to describe alignment heterogeneity based on Shannon entropy and the extent and contents of the OTUs in a phylogenetic tree space. Our results suggest that ITS should not be used when calculating phylogenetic trees from genetically distant sequences obtained from environmental DNA extractions and that it is inadvisable to define OTUs on the basis of very heterogeneous alignments.
Data and Codes for Kim et al. "Discovering the Multisectoral Impacts of the Global Energy Sector Outcomes through Diverse Cross-ensemble Aggregation Measures"
Open the record for dataset details and reuse information.
Kümmerer et al.; Using High-Resolution UAV Imaging to Measure Canopy Height of Diverse Cover Crops and Predict Biomass; open data
<p>The file contains data on cover crop biomass and canopy heights determined by ruler method, high-, and low-resolution imaging via unmanned aerial vehicle and structure-from-motion approach from an experimental field site in Triesdorf, Germany. The article to this data set is published in the journal MDPI Remote Sensing: Kümmerer, R.; Noack, P.O.; Bauer, B. Using High-Resolution UAV Imaging to Measure Canopy Height of Diverse Cover Crops and Predict Biomass. Remote Sens. <strong>2023</strong>, 15, 1520. https://doi.org/10.3390/rs15061520</p>
Data from: Phylogenetic diversity is a better measure of biodiversity than taxon counting
Open the record for dataset details and reuse information.
Data from: Diversity measures in environmental sequences are highly dependent on alignment quality—data from ITS and new LSU primers targeting basidiomycetes
Open the record for dataset details and reuse information.
A practical approach to measuring the acoustic diversity by community ecology methods
Open the record for dataset details and reuse information.
Data from: Phylogenetic beta diversity, similarity, and differentiation measures based on Hill numbers
Open the record for dataset details and reuse information.
Data from: Measuring β‐diversity by remote sensing: a challenge for biodiversity monitoring
Biodiversity includes multiscalar and multitemporal structures and processes, with different levels of functional organization, from genetic to ecosystemic levels. One of the mostly used methods to infer bio- diversity is based on taxonomic approaches and community ecology theories. However, gathering extensive data in the field is difficult due to logistic problems, especially when aiming at modelling biodiversity changes in space and time, which assumes statistically sound sampling schemes. In this context, airborne or satellite remote sensing allow information to be gathered over wide areas in a reasonable time. Most of the biodiversity maps obtained from remote sensing have been based on the inference of species richness by regression analysis. On the contrary, estimating compositional turnover (β-diversity) might add crucial information related to relative abundance of dif- ferent species instead of just richness. Presently, few studies have addressed the measurement of species compositional turnover from space. Extending on previous work, in this manuscript we propose novel techniques to measure β-diversity from airborne or satellite remote sensing, mainly based on: i) multivariate statistical analysis, ii) the spectral species concept, iii) self-organizing feature maps, iv) multi- dimensional distance matrices, and the v) Rao's Q diversity. Each of these measures addresses one or several issues related to turnover measurement. This manuscript is the first methodological example encompassing (and enhancing) most of the available methods for estimating β-diversity from remotely sensed imagery and potentially relating them to species diversity in the field.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research 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.
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
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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
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.