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Fig. 2. Life habit. A in A systematic revision of the genus Juga from fresh waters of the Pacific Northwest, USA (Cerithioidea, Semisulcospiridae)
Fig. 2. Life habit. A. On leaves. Drift Creek on Cascade Highway NE, Oregon (J. plicifera (I. Lea, 1838)). B. Under submerged stones (with gelatinous egg masses). Youngs River Falls, just upstream of Youngs River Rd, Oregon (J. plicifera). C. On mud and leaves. Muddy Hollow, Oregon (J. bulbosa (A. Gould, 1847)). D. On submerged wood. Unnamed Creek at Skookum Creek Rd, Oregon (J. canella sp. nov.). E. On sand. Hat Creek, California (J. douglasi sp. nov.). F. On the spray-moistened sides of boulders. Pit River at U.S. Hwy 299, California (J. occata (Hinds, 1844)).
Multiparameter Water Quality Monitoring System for Continuous Monitoring of Fresh Waters Calibration and Measurement Data Set
<p>This data set contains calibration data for all sensors incorporated in the sensor node. It provides comparison measurements of TPL fluorescence taken by the node and reference spectrofluorimeter. Initial test measurements, as well as site measurements, are also provided. Finally, data from a heuristic method of TPL detection in the presence of algae and mud are also given.</p>
Air-sea gas transfer velocities measured at wind speeds up to 85m/s in fresh water and seawater
<p>This data set contains gas transfer velocities of 12 tracers (CF4, He, SF6, He, Kr, Pentafluoroethane, Xe, Acetylene, Hexafluorobenzene, Difluoromethane, 1,4-Difluorobenzene, Dimethyl Sulfide, Methyl Acetate) measured in the Kyoto High Speed Wind-Wave tank with fresh water and modeled seawater and the Miami SUSTAIN wind-wave tank with seawater at wind speeds up to 85m/s.</p> <p> </p>
Microfluidic droplet application for bacterial surveillance in fresh-cut produce wash waters
<p>Foodborne contamination and associated illness in the United States is responsible for an estimated 48 million cases per year. Increased food demand, global commerce of perishable foods, and the growing threat of antibiotic resistance are driving factors elevating concern for food safety. Foodborne illness is often associated with fresh-cut, ready-to-eat produce commodities due to the perishable nature of the product and relatively minimal processing from farm to the consumer. The research presented here optimizes and evaluates the utility of microfluidic droplets, also termed ultraminiaturized bioreactors, for rapid detection of viable Salmonella enterica ser. Typhimurium in a shredded lettuce wash water acquired from a major Mid-Atlantic produce processing facility (denoted as Producer) in the U.S. Using a fluorescentlylabeled anti- S. Typhimurium antibody and relative fluorescence intensities, paired with in-droplet incubation, S. Typhimurium was detected and identified with 100% specificity in less than 5 h. In initial optimization experiments using S. Typhimuriumspiked sterile water, the relative fluorescence intensity of S. Typhimurium was approximately two times that of the observed relative intensities of five non- S. Typhimurium negative controls at 4-h incubation in droplets containing Rappaport-Vasiliadis (RV) broth at 37 ° C: relative fluorescence intensity for S. Typhimurium = 2.36 (95% CI: 2.15-2.58), Enterobacter aerogens 1.12 (95% CI: 1.09-1.16), Escherichia coli 700609 = 1.13 (95% CI: 1.09-1.17), E. coli 13706 1.13 (95% CI: 1.07-1.19), E. coli 700891 1.05 (95% CI: 1.03-1.07) and Citrobacter freundii 1.04 (95% CI: 1.03-1.05). S. Typhimurium - and E. aerogens -spiked shredded lettuce wash waters acquired from the Producer were then incubated 4 h in-droplet at 37 ° C with RV broth. The observed relative fluorescence of S. Typhimurium was significantly higher than that of E. aerogens , 1.56 (95% CI: 1.42-1.71) and 1.10 (95% CI: 1.08-1.12), respectively. While further optimization focusing on compatible concentration methodologies for highly-dilute produce water samples is needed, this application of droplet microfluidics shows great promise in dramatically shortening the time necessary – from days to hours – to confirm viable bacterial contamination in ready-to-eat produce wash waters used throughout the domestic and international food industry.</p>
Fig. 2. Toxotes kimberleyensis, about 150 in Toxotes kimberleyensis, a New Species of Archerfish (Pisces: Toxotidae) from Fresh Waters of Western Australia
Fig. 2. Toxotes kimberleyensis, about 150 mm total length (G. Schmida photo).
Fig. 1 in Toxotes kimberleyensis, a New Species of Archerfish (Pisces: Toxotidae) from Fresh Waters of Western Australia
Fig. 1. Toxotes kimberleyensis, holotype, 126.3 mm SL, Plain Creek, Western Australia.
Stable Water Isotopes in Fresh Snow Along 2 Slopes in the canton of Grisons/Graubünden, Switzerland: the "Chruez", Praettigau and Eastward ascent to the Vilan Peak
<p>This bachelor thesis concerned itself with the composition of <span class="math-tex">\(\delta\)</span>2H (or deuterium), <span class="math-tex">\(\delta\)</span>18O and <span class="math-tex">\(\delta\)</span>17O in fresh snow. Stable water isotopes have been proven to be useful tracers for hydrological processes, such as air mass sources of regional precipitation or the residence time of snowmelt in a catchment (Beria et al., 2018). Whereas different isotopic compositions of precipitation in the form of rain is well documented for different environments in networks such as the NISOT (The Swiss National Network for the Observation of Isotopes in the Water Cycle), the same knowledge about snow is more limited due to the influences of different isotope fractionation processes and lack of onsite snow accumulation and melt observation (Cooper, 1998; Michelon et al., 2018). The aim of this thesis was therefore to analyse and characterize the spatial variability of <span class="math-tex">\(\delta\)</span>2H, <span class="math-tex">\(\delta\)</span>18O and <span class="math-tex">\(\delta\)</span>17O in freshly fallen snow. This was done by sampling fresh snow on six different snowfall events in the month of March over an elevation gradient of 1000m along the southside slope of the mountain Chruez. 2H throughout four sampling days had <span class="math-tex">\(\delta\)</span>-values ranging from −50‰ to −70‰, with two days being more depleted in 2H, showing <span class="math-tex">\(\delta\)</span>-values from −80‰ down to −160‰. <span class="math-tex">\(\delta\)</span>18O showed the same pattern where of six, four days showed similar -values ranging from −8‰ to −12‰ and two days with a stronger depletion of the isotope with <span class="math-tex">\(\delta\)</span>-values ranging from −14‰ to −20‰. It is known that the enrichment of <span class="math-tex">\(\delta\)</span>17O in a water molecule is about half of <span class="math-tex">\(\delta\)</span>18O, which was also seen in the results of this thesis (Nyamgerel et.al, 2021).</p> <p>In this thesis, two out of six sampling days were examined with statistically significant positive altitude gradients of 0.19‰/100m and 0.64‰/100m for <span class="math-tex">\(\delta\)</span>18O. Additionally, on one of the six sampling days, a statistically significant negative altitude gradient of −0.15‰/100m was observed. The altitude gradients for <span class="math-tex">\(\delta\)</span>17O were about half of <span class="math-tex">\(\delta\)</span>18O. Two statistically significant positive and one negative altitude gradients for <span class="math-tex">\(\delta\)</span>2H were observed during the same days with lapse rates of 1.7‰/100m, 5.5‰/100m and −1.25‰/100m. Having both positive and negative altitude gradients was attributed to the varying amounts of solar radiation and wind direction during different sampling days. However, further research must be done in order to make a valid statement, since additional factors such as water vapor pressure, turbulent fluxes in the air and relative humidity strongly affect fractionation of stable water isotopes.</p> <p>The aim of this work is to characterize and analyze the elevation effect of water isotopologues in fresh snow at Vilan. By analyzing fresh snow, the influence of fractionation processes, after the precipitation event can be minimized and helps the understanding of snow-melt water transformation. For this purpose, a total of five fresh snow events in March and April 2021 were analyzed. Samples were taken from the eastern slope of Vilan between 1100 m a.s.l. and 2300 m a.s.l. and were collected at 100-meter elevation intervals. The altitude effect was determined with a linear regression. The analysis shows that the altitude has only a small effect on the d-values of the new snow, because for the <span class="math-tex">\(\delta\)</span>18O only one snow event shows a statistically significant altitude effect. For the <span class="math-tex">\(\delta\)</span>2H, it is their two. The statistically significant new snow events show an elevation gradient of + 0.155 ‰ <span class="math-tex">\(\delta\)</span>18O/100 m and + 1.211 ‰ <span class="math-tex">\(\delta\)</span>2H/100 m and + 0.677 ‰ <span class="math-tex">\(\delta\)</span>2H/100 m, respectively. The observed positive gradients can be explained by four effects. First, a lee effect is likely due to the prevailing weather conditions. Second, the top snow layer accumulates heavy isotopologues with increasing time (time effect). Third, an inverse height effect can be observed when water vapor of different origins mixes. Fourth, the amount of precipitation (quantity effect) can have an impact on isotopic composition. The work shows that further research in the analysis of water isotopes in fresh snow is necessary to better identify and quantify possible influencing parameters.</p> <p> </p> <p> </p>
Table II in AfriBasins: a new framework in FishBase for the analysis of African fresh and brackish water fish distributions, with a discussion on the Congo basin fauna
<p>Table II. – AfriBasin size, species and endemics per AfriBasin and different proxies of sampling effort based on 42022 georeferenced records from the RMCA fish collection and GBIF.</p><table><tbody><tr><th>Subbasin</th><th>Size (km 2)</th><th>Species</th><th>Species / 1000 km 2</th><th>Endemics</th><th>Endemics / 1000 km 2</th><th>Records</th><th>Records / 1000 km 2</th><th>Sampling localities</th><th>Sampling loc. / 1000 km 2</th><th>Sampling days</th><th>Sampling days / 1000 km 2</th><th>Expeditions</th><th>Expeditions / 1000 km 2</th></tr></tbody><tbody><tr><th>Middle Congo</th><td>75000</td><td>344</td><td>4.59</td><td>3</td><td>0.04</td><td>3622</td><td>48.29</td><td>172</td><td>2.29</td><td>495</td><td>6.60</td><td>154</td><td>2.05</td></tr><tr><th>Kasai</th><td>290000</td><td>259</td><td>0.89</td><td>23</td><td>0.08</td><td>1630</td><td>5.62</td><td>121</td><td>0.42</td><td>239</td><td>0.82</td><td>138</td><td>0.48</td></tr><tr><th>Pool Malebo</th><td>9500</td><td>254</td><td>26.74</td><td>10</td><td>1.05</td><td>4455</td><td>468.95</td><td>101</td><td>10.63</td><td>518</td><td>54.53</td><td>200</td><td>21.05</td></tr><tr><th>Ubangi</th><td>240000</td><td>248</td><td>1.03</td><td>19</td><td>0.08</td><td>1705</td><td>7.10</td><td>119</td><td>0.50</td><td>164</td><td>0.68</td><td>61</td><td>0.25</td></tr><tr><th>Lower Congo</th><td>50000</td><td>248</td><td>4.96</td><td>53</td><td>1.06</td><td>2233</td><td>44.66</td><td>264</td><td>5.28</td><td>366</td><td>7.32</td><td>131</td><td>2.62</td></tr><tr><th>Lualaba</th><td>323000</td><td>247</td><td>0.76</td><td>18</td><td>0.06</td><td>4354</td><td>13.48</td><td>388</td><td>1.20</td><td>645</td><td>2.00</td><td>226</td><td>0.70</td></tr><tr><th>Aruwimi</th><td>127500</td><td>233</td><td>1.83</td><td>12</td><td>0.09</td><td>1455</td><td>11.41</td><td>150</td><td>1.18</td><td>213</td><td>1.67</td><td>69</td><td>0.54</td></tr><tr><th>Ruki</th><td>177000</td><td>231</td><td>1.31</td><td>9</td><td>0.05</td><td>2211</td><td>12.49</td><td>81</td><td>0.46</td><td>328</td><td>1.85</td><td>103</td><td>0.58</td></tr><tr><th>Itimbiri</th><td>55000</td><td>228</td><td>4.15</td><td>4</td><td>0.07</td><td>1548</td><td>28.15</td><td>26</td><td>0.47</td><td>108</td><td>1.96</td><td>50</td><td>0.91</td></tr><tr><th>Upper Lualaba</th><td>144000</td><td>219</td><td>1.52</td><td>28</td><td>0.19</td><td>3449</td><td>23.95</td><td>371</td><td>2.58</td><td>644</td><td>4.47</td><td>160</td><td>1.11</td></tr><tr><th>Sangha</th><td>180000</td><td>215</td><td>1.19</td><td>8</td><td>0.04</td><td>2012</td><td>11.18</td><td>181</td><td>1.01</td><td>195</td><td>1.08</td><td>72</td><td>0.40</td></tr><tr><th>Uélé</th><td>122000</td><td>195</td><td>1.60</td><td>7</td><td>0.06</td><td>1104</td><td>9.05</td><td>85</td><td>0.70</td><td>184</td><td>1.51</td><td>83</td><td>0.68</td></tr><tr><th>Lindi-Tshopo</th><td>54000</td><td>182</td><td>3.37</td><td>1</td><td>0.02</td><td>931</td><td>17.24</td><td>86</td><td>1.59</td><td>128</td><td>2.37</td><td>47</td><td>0.87</td></tr><tr><th>Lomami</th><td>74000</td><td>181</td><td>2.45</td><td>1</td><td>0.01</td><td>738</td><td>9.97</td><td>151</td><td>2.04</td><td>161</td><td>2.18</td><td>44</td><td>0.59</td></tr><tr><th>Marine Lower Congo</th><td>10000</td><td>164</td><td>16.40</td><td>8</td><td>0.80</td><td>1421</td><td>142.10</td><td>104</td><td>10.40</td><td>192</td><td>19.20</td><td>123</td><td>12.30</td></tr><tr><th>Mweru</th><td>94000</td><td>163</td><td>1.73</td><td>29</td><td>0.31</td><td>3376</td><td>35.91</td><td>327</td><td>3.48</td><td>569</td><td>6.05</td><td>155</td><td>1.65</td></tr><tr><th>Léfini-Likouala</th><td>110000</td><td>140</td><td>1.27</td><td>10</td><td>0.09</td><td>2278</td><td>20.71</td><td>128</td><td>1.16</td><td>195</td><td>1.77</td><td>50</td><td>0.45</td></tr><tr><th>Sankuru</th><td>130000</td><td>119</td><td>0.92</td><td>10</td><td>0.08</td><td>659</td><td>5.07</td><td>33</td><td>0.25</td><td>80</td><td>0.62</td><td>34</td><td>0.26</td></tr><tr><th>Tumba</th><td>6500</td><td>110</td><td>16.92</td><td>3</td><td>0.46</td><td>357</td><td>54.92</td><td>12</td><td>1.85</td><td>67</td><td>10.31</td><td>23</td><td>3.54</td></tr><tr><th>Bangweulu</th><td>110000</td><td>103</td><td>0.94</td><td>1</td><td>0.01</td><td>1325</td><td>12.05</td><td>172</td><td>1.56</td><td>190</td><td>1.73</td><td>70</td><td>0.64</td></tr><tr><th>Kwilu</th><td>85000</td><td>86</td><td>1.01</td><td>5</td><td>0.06</td><td>130</td><td>1.53</td><td>19</td><td>0.22</td><td>34</td><td>0.40</td><td>26</td><td>0.31</td></tr><tr><th>Kwango</th><td>195000</td><td>84</td><td>0.43</td><td>10</td><td>0.05</td><td>299</td><td>1.53</td><td>24</td><td>0.12</td><td>33</td><td>0.17</td><td>18</td><td>0.09</td></tr><tr><th>Mai-Ndombe</th><td>40000</td><td>72</td><td>1.80</td><td>8</td><td>0.20</td><td>89</td><td>2.23</td><td>27</td><td>0.68</td><td>16</td><td>0.40</td><td>25</td><td>0.63</td></tr><tr><th>Lukenie</th><td>76500</td><td>51</td><td>0.67</td><td>2</td><td>0.03</td><td>275</td><td>3.59</td><td>18</td><td>0.24</td><td>32</td><td>0.42</td><td>21</td><td>0.27</td></tr><tr><th>Mongala</th><td>45000</td><td>41</td><td>0.91</td><td>0</td><td>0</td><td>93</td><td>2.07</td><td>9</td><td>0.20</td><td>17</td><td>0.38</td><td>14</td><td>0.31</td></tr><tr><th>Lulonga</th><td>67000</td><td>20</td><td>0.30</td><td>0</td><td>0</td><td>80</td><td>1.19</td><td>13</td><td>0.19</td><td>17</td><td>0.25</td><td>12</td><td>0.18</td></tr><tr><th>Kotto</th><td>71000</td><td>19</td><td>0.27</td><td>1</td><td>0.01</td><td>126</td><td>1.77</td><td>15</td><td>0.21</td><td>12</td><td>0.17</td><td>16</td><td>0.23</td></tr><tr><th>Bomu</th><td>130000</td><td>14</td><td>0.11</td><td>1</td><td>0.01</td><td>67</td><td>0.52</td><td>11</td><td>0.08</td><td>14</td><td>0.11</td><td>9</td><td>0.07</td></tr></tbody></table>
A fresh thermodynamic outlook of hydrogen production by water splitting from an exergy-based perspective
<p>The upload files is the origin data and calculation procedure for the article titled "A fresh thermodynamic outlook of hydrogen production by water splitting from an exergy-based perspective".</p>
Microfluidic droplet application for bacterial surveillance in fresh-cut produce wash waters
Open the record for dataset details and reuse information.
FIGURE 4 in Bratislavia dadayi (Michaelsen 1905) (Annelida, Clitellata, Naididae): discovery of an alien oligochaete in a technogenic fresh water body in Ukraine
FIGURE 4. Current distribution of Bratislavia dadayi (Michaelsen 1905). Numbers 1–52 represent the sites listed in the Appendix. Point 53 is the location of the most recent find, described in the present paper.
FIGURE 1 in Bratislavia dadayi (Michaelsen 1905) (Annelida, Clitellata, Naididae): discovery of an alien oligochaete in a technogenic fresh water body in Ukraine
FIGURE 1. Location of the studied water area, and sampling points (S1, S2) where Bratislavia dadayi (Michaelsen 1905) was found.
FIGURE 2 in Bratislavia dadayi (Michaelsen 1905) (Annelida, Clitellata, Naididae): discovery of an alien oligochaete in a technogenic fresh water body in Ukraine
FIGURE 2. Bratislavia dadayi (Michaelsen 1905) from the Ukrainian population. A. Entire body of an immature individual, lateral view. B. Anterior body part of an immature individual, lateral view. C. Anterior body part of a mature individual, ventral view. D. Integument, ventral view. E. Integument, lateral view.
FIGURE 19. Limnomysis benedeni Czerniavsky, 1882 in The Mysidae (Crustacea: Peracarida: Mysida) in fresh and oligohaline waters of the Mediterranean. Taxonomy, biogeography, and bioinvasion
FIGURE 19. Limnomysis benedeni Czerniavsky, 1882, from the freshwater reach of the Canal d'Arles à Fos, a tributary of the Rhône River; station is 47 river km from the Mediterranean coast of France; male with body length 6.7 mm (A, C, E–M) and females with 9.0 mm (B) or 8.1 mm (D). A, anterior body region of male, dorsal (pores on carapace not to scale); B, right eye, dorsal; C, male antennula, dorsal; D, antennal scale of female, dorsal; E, male antenna with posterior lobe containing end sac of antennal gland, dorsal; F, tarsus (carpopropodus plus dactylus) of third thoracic endopod; G, third male pleopod, outer = rostral face; H, fourth male pleopod, inner = caudal face; J, fifth male pleopod, outer = rostral face; K, posterior margin of sixth pleonite, lateral; L, uropods, ventral; M, telson, dorsal.
FIGURE 17 in The Mysidae (Crustacea: Peracarida: Mysida) in fresh and oligohaline waters of the Mediterranean. Taxonomy, biogeography, and bioinvasion
FIGURE 17. Diamysis lagunaris Ariani & Wittmann, 2000 (A–J), and D. hebraica Almeida Prado-Por, 1981 (K–Q). Materials from Lago di Caprolace (paratypes: A, C–E, G, J, Lazio coast of Tyrrhenian Sea), Étang de La Palme (B, Golfe du Lion, Mediterranean coast of France), coast of La Spezia (F, N-Tyrrhenian Sea), Lago di Ganzirri (H, Strait of Messina, Tyrrhenian Sea), and the coastal stream Nahal Tanninim (K–Q, Levantine Sea, coast of Israel). A, anterior body region of male with body length 5.6 mm, dorsal view on cephalothorax; B, eyes and anterior margin of carapace in female 5.3 mm, dorsal; C, exopod of first thoracopod in male 4.0 mm, caudal; D, tarsus (i.e. carpopropodus plus dactylus) of third thoracic endopod in female 6.1 mm, rostral; E, fourth pleopod of male 4.8 mm, rostral; F–H, posterior margin of sixth pleonite in females with 7.2 mm (F), 5.2 mm (G), or 5.1 mm (H) body length, lateral; J, telson of male 4.8 mm, dorsal; K, anterior body region of male 5.0 mm, dorsal view on cephalothorax; L, tarsus of third thoracic endopod, male 5.0 mm, rostral; M, exopod of sixth thoracopod in male 4.0 mm (paratype), rostral; N, exopod of fourth pleopod of male 5.0 mm, rostral; O, posterior margin of sixth pleonite, male 4.0 mm (paratype), lateral; P, the same for female 4.0 mm (holotype); Q, telson of male 5.0 mm, dorsal. A, K, pores on carapaces not to scale; A–J, from Ariani & Wittmann (2000); K–Q, original.
FIGURE 20 in The Mysidae (Crustacea: Peracarida: Mysida) in fresh and oligohaline waters of the Mediterranean. Taxonomy, biogeography, and bioinvasion
FIGURE 20. Neomysis integer (Leach, 1814) from canals at the Mediterranean coast of France: adult male with body length 7.6 mm (A–C, E–J, L–N) from the freshwater reach of the Canal du Rhône à Sète, and incubating female 11.6 mm (D, K) caught in the mesohaline reach of the Canal d'Arles à Fos. A, anterior body region in dorsal view (pores on carapace not to scale); B, antenna, dorsal; C, thoracic sternites with median lobes in male, ventral; D, thoracic sternites in female (lobes forced into rostral plane by cover glass; in vivo projecting about ventrally), note large posterior plate from ultimate sternite; E, endopod of third thoracopod between merus and tip; F, right penis, lateral; G, third male pleopod, outer = rostral face; H, fourth male pleopod, inner = caudal face; J, posterior margin of sixth pleonite in male, lateral; K, the same for female; L, uropods, ventral; M, telson, dorsal, detail (N) shows hairs and spines on lateral margin.
FIGURE 14 in The Mysidae (Crustacea: Peracarida: Mysida) in fresh and oligohaline waters of the Mediterranean. Taxonomy, biogeography, and bioinvasion
FIGURE 14. Diamysis mesohalobia mesohalobia Ariani & Wittmann, 2000, paratypes from the brackish spring Fiume Morello at the Adriatic coast of SE-Italy. A, dorsal aspect of male with body length 6.5 mm; B, antennula of male 6.3 mm, dorsal; C, carapace expanded on slide, male 6.0 mm, dorsal; D, exopod of first thoracopod, male 6.3 mm, caudal aspect; E, tarsus (i.e. carpopropodus plus dactylus) of fourth thoracic endopod, male 6.4 mm, rostral; F, right face of left penis, male 6.3 mm; G, third pleopod of same male, rostral; H, fourth pleopod of same male, rostral; J–M, posterior margin of sixth pleonite, lateral, in female 6.6 mm (J), female 6.8 mm (K), and two males, each with 6.3 mm (L, M); N, telson of male 6.3 mm, dorsal. A, C, pores on carapaces not to scale. A, B, D, E, G–N, modified from Ariani & Wittmann (2000); C, F, original.
FIGURE 15 in The Mysidae (Crustacea: Peracarida: Mysida) in fresh and oligohaline waters of the Mediterranean. Taxonomy, biogeography, and bioinvasion
FIGURE 15. Diamysis mesohalobia gracilipes Ariani & Wittmann, 2000 (A–J), and Diamysis mesohalobia heterandra Ariani & Wittmann, 2000 (K–S). Materials from Mar Piccolo in the Gulf of Tarent (paratypes: A–E, G–J, Ionian Sea), the Bay of Strunjan (F, Gulf of Trieste, NE-Adriatic Sea), Lake Deran (L, N, P–S, E-Adriatic), Limni Antinioti (K, M, Island of Corfu, Ionian Sea), and Lakes of Bacin (O, E-Adriatic). A, anterior body region of male with body length 7.2 mm, dorsal view on cephalothorax; B, tarsus (i.e. carpopropodus plus dactylus) of third thoracopod, male 6.5 mm, rostral; C, left face of right penis, male 7.2 mm; D, E, exopod of fourth pleopod, rostral, in males with 4.4 mm (D) or 6.5 mm (E) body length; F–H, posterior margins of sixth pleonite in female with 7.4 mm (F), in male with 7.2 mm (G), and in female with 4.8 mm (H) body length, lateral; J, telson of male 7.2 mm, dorsal; K, anterior body region of male 5.2 mm (paratype); L, carapace expanded on slide, dorsal, male 7.9 mm; M, tarsus of third thoracic endopod, rostral, male 5.2 mm (paratype); N, fourth pleopod of male 7.9 mm, rostral; O, P, exopod of fourth pleopod, rostral, in males with 5.5 mm (O) or 8.4 mm (P) body length; Q, R, posterior margins of sixth pleonite in female with 9.8 mm (Q) or in male with 6.0 mm (R) body length, lateral; S, telson of male 7.9 mm, dorsal. A, K, L, pores on carapaces not to scale. A, D, E, G–K, M, modified from Ariani & Wittmann (2000); L, N–S, modified from Wittmann & Ariani (2012b); B, C, F, original.
FIGURE 13 in The Mysidae (Crustacea: Peracarida: Mysida) in fresh and oligohaline waters of the Mediterranean. Taxonomy, biogeography, and bioinvasion
FIGURE 13. Diamysis fluviatilis Wittmann & Ariani, 2012 (A–C), and D. lacustris Băcescu, 1940 (D–H). Materials from the Sile River (A–C) and Lake Scutari (D–H). A, cephalic region of female with body length 8.9 mm, dorsal; B, carapace expanded on slide, male 9.5 mm, dorsal; C, third pleopod of male 6.6 mm, rostral aspect; D, male with body length 5.2 mm, lateral view; E, cephalic region of female 8.0 mm, dorsal; F, carapace expanded on slide, dorsal, same male as in (D); G, fourth pleopod of same male, rostral; H, telson of same male, dorsal. B, F, pores on carapaces not to scale. From Wittmann & Ariani (2012b).
FIGURE 16 in The Mysidae (Crustacea: Peracarida: Mysida) in fresh and oligohaline waters of the Mediterranean. Taxonomy, biogeography, and bioinvasion
FIGURE 16. Distribution of Limnomysis benedeni Czerniavsky, 1882, Neomysis integer (Leach, 1814), and the three subspecies of Diamysis mesohalobia Ariani & Wittmann, 2000, in tributaries and coastal waters of the Mediterranean and adjacent seas. Data original and from 79 literature sources.
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