Skip to main content
Powered by ShareScore

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.

14

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

14 results for “Aedes japonicus japonicus”

Learn how ShareScore rates datasets ↗
zenodo40/100

Fig. 1 a in Oviposition of AedeS japoNiCUS japoNiCUS (Diptera: Culicidae) and associated native species in relation to season, temperature and land use in western Germany

Fig. 1 a Study sites in the south of North Rhine-Westphalia, Germany in 2018. Forest types (different shades of green) follow Authorised Topographic-Cartographic Information System data [39]. b Details of study site Bonn SÜd, with three transects and their respective trap locations (different colours represent different land use types). See Additional file 2: dataset S1 for coordinates of trap locations. Background map from http:// www.openstreetmap.org (OpenStreetMap contributors). The map was produced with QGIS version 3.2

opencc-by-4.0Dec 2020View details →
zenodo40/100

Fig. 2 in Oviposition of AedeS japoNiCUS japoNiCUS (Diptera: Culicidae) and associated native species in relation to season, temperature and land use in western Germany

Fig. 2 Setup of the transects. Trap locations range from oviposition habitat 1 (land use types—arable land, forest or settlement) through the transition zone into oviposition habitat 2 (land use types—forest, settlement or arable land). F100 Forest, 100 m from the transition zone; F10 forest, 10 m from the transition zone; F/S transition zone; S10 settlement, 10 m from the transition zone; S100 settlement, 100 m from the transition zone

opencc-by-4.0Dec 2020View details →
zenodo40/100

Fig. 5 in Oviposition of AedeS japoNiCUS japoNiCUS (Diptera: Culicidae) and associated native species in relation to season, temperature and land use in western Germany

Fig. 5 Occurrence of mosquito taxa in relation to trap location. The number of analysable traps is given in brackets. For abbreviations, see Fig. 2

opencc-by-4.0Dec 2020View details →
zenodo40/100

Fig. 4 in Oviposition of AedeS japoNiCUS japoNiCUS (Diptera: Culicidae) and associated native species in relation to season, temperature and land use in western Germany

Fig. 4 Canonical correspondence analysis of land use types and mosquito taxa. Ae. j. japonicus occupied significantly more positive ovitraps in the settlement–forest transition zone than in other trap locations (Fisher's exact test: P = 0.0045 tested against arable land– forest, P <0.0001 tested against arable land–settlement)

opencc-by-4.0Dec 2020View details →
zenodo40/100

Fig. 3 in Oviposition of AedeS japoNiCUS japoNiCUS (Diptera: Culicidae) and associated native species in relation to season, temperature and land use in western Germany

Fig. 3 Percentages of mosquito-positive ovitraps (Traps positive), and air temperatures. Air temperature was calculated in the week before sampling in 2018. Sampling dates and the number of analysable ovitraps from a total of 270 ovitraps (in brackets) are shown on the x-axis. There was no statistically significant difference between the numbers of Aedes japonicus japonicus-positive ovitraps sampled in spring (April–May) and in autumn (October–November) (identical lowercase letters). By contrast, the numbers of Ae. japonicus japonicus-positive ovitraps in the summer (12 June to 25 September) were statistically significantly higher than in spring and autumn (different lowercase letters) (Fisher's exact test: P <0.0001. For all P-values, see Additional file 1: Table S2. For total numbers of emerged adults, see Additional file 2: dataset S1

opencc-by-4.0Dec 2020View details →
zenodo40/100

Fig. 6 in Oviposition of AedeS japoNiCUS japoNiCUS (Diptera: Culicidae) and associated native species in relation to season, temperature and land use in western Germany

Fig. 6 Logistic regression of probability proportion of adults hatched from larvae of Cx. pipiens s.l. vs. Ae. japonicus japonicus collected at the specified temperatures. Data from 2017 and 2018 (23 May to 25 September) for ovitraps located along the forest–settlement transect. Function jitter was used for taxa proportion data to improve visibility [85]

opencc-by-4.0Dec 2020View details →
dryad36/100

Using geometric wing morphometrics to distinguish Aedes japonicus japonicus and Aedes koreicus

<p><span><strong>Background</strong>:</span><span> <em>Aedes japonicus japonicus</em> (Theobald, 1901) and <em>Aedes koreicus</em> (Edwards, 1917) have rapidly spread in Europe over the last decades. Both species are very closely related and occur in sympatry. Females are difficult to distinguish, and no distinctive morphological characters are known for males. However, accurate species discrimination is important as both species may differ in their vectorial capacity and spreading behaviour. In this study, we assessed the potential of geometric wing morphometrics as an alternative to distinguish the two species. </span></p> <p><span><strong>Methods</strong>:</span><span> A total of 147 <em>Ae. japonicus</em> specimens (77 females and 70 males) and 124 <em>Ae. koreicus</em> specimens (67 females and 57 males) were collected in South-West Germany. The left wing of each specimen was removed, mounted and photographed. The coordinates of 18 landmarks on the vein crosses were digitalised by a single observer. The resulting two-dimensional dataset was used to analyse the differences in the wing size (i.e., centroid size) and wing shape between <em>Ae. japonicus </em>and <em>Ae. koreicus</em> by means of geometric morphometrics. To analyse the reproducibility of the analysis, the landmark collection was repeated for 20 specimens per sex and species by two additional observers.</span></p> <p><span><strong>Results</strong>:</span><span> The wing size in female <em>Ae. koreicus</em> was significantly greater than in <em>Ae. japonicus</em> but did not differ significantly for males. However, the strong overlap in wing size for the females would not allow for discriminating the two species. In contrast, the wing shape clustered species-specific and a leave-one-out validation resulted in a reclassification accuracy of 95% for the females and 91% for the males. The data collected by different observers resulted in a similar accuracy, indicating a low observer bias for the landmark collection. </span></p> <p><span><strong>Conclusions</strong>:</span><span> Geometric wing morphometrics provide a reliable and robust tool to distinguish female and male specimens of <em>Ae. japonicus </em>and<em> Ae. koreicus</em>. </span></p>

opencc-zeroDec 2022View details →
zenodo36/100

Table 2 in Oviposition of AedeS japoNiCUS japoNiCUS (Diptera: Culicidae) and associated native species in relation to season, temperature and land use in western Germany

<p><b>Table 2</b> Maximum temperature of water (&deg;C) in the mosquito-positive ovitraps during the field studies at the different study sites</p><table><tbody><tr><th>Study</th><th>Site</th><th><i>Ae. japonicus japonicus</i></th><th><i>Cx.pipiens</i> s.l.</th><th><i>An. plumbeus</i></th><th><i>Ae. geniculatus</i></th></tr></tbody><tbody><tr><th>2017</th><td>Alfter</td><td>26.8</td><td>34.7</td><td>31.3</td><td>20.3</td></tr><tr><th></th><td>Dormagen</td><td>22.1</td><td>27.2</td><td>17.3</td><td>21.7</td></tr><tr><th>2018</th><td>Alfter</td><td>22.6</td><td>19.8</td><td>20.6</td><td>n.n.</td></tr><tr><th></th><td>Bonn S&Uuml;d</td><td>24.7</td><td>24</td><td>17.3</td><td>n.n.</td></tr><tr><th></th><td>Heimerzheim</td><td>24.3</td><td>24.6</td><td>23.2</td><td>22.7</td></tr><tr><th></th><td>Lohmar</td><td>28.6</td><td>25.8</td><td>28.6</td><td>16.6</td></tr><tr><th></th><td>Siegburg</td><td>25.8</td><td>30</td><td>27</td><td>23.1</td></tr><tr><th></th><td>Troisdorf</td><td>26.8</td><td>27.7</td><td>25.2</td><td>n.n.</td></tr></tbody></table><p><i>n.n.</i> Species not present</p>

opencc-by-4.0Dec 2020View details →
zenodo36/100

Table 1 in Oviposition of AedeS japoNiCUS japoNiCUS (Diptera: Culicidae) and associated native species in relation to season, temperature and land use in western Germany

<p><b>Table 1</b> Total number and percentages of positive samples and occurrence of mosquito species per trap</p><table><tbody><tr><th>Study</th><th></th><th><i>Aedes japonicus japonicus</i></th><th><i>Culex pipiens</i> s.l.</th><th><i>Anopheles plumbeus</i></th><th><i>Aedes geniculatus</i></th><th>Total</th></tr></tbody><tbody><tr><th>2017</th><td>Total positive traps (<i>n</i>)</td><td>97</td><td>199</td><td>47</td><td>38</td><td>381</td></tr><tr><th></th><td>Positive traps/analysable traps (%)</td><td>15.4</td><td>31.7</td><td>7.5</td><td>6.1</td><td>60.7</td></tr><tr><th></th><td>Traps multiple species (<i>n</i>)</td><td>56</td><td>58</td><td>39</td><td>25</td><td>80</td></tr><tr><th></th><td>Multiple species/positive traps (%)</td><td>57.7</td><td>29.1</td><td>83</td><td>65.8</td><td>21</td></tr><tr><th>2018</th><td>Total positive traps (<i>n</i>)</td><td>441</td><td>285</td><td>137</td><td>19</td><td>882</td></tr><tr><th></th><td>Positive traps/analysable traps (%)</td><td>20.3</td><td>13.1</td><td>6.3</td><td>0.9</td><td>40.7</td></tr><tr><th></th><td>Traps multiple species (<i>n</i>)</td><td>180</td><td>139</td><td>113</td><td>11</td><td>206</td></tr><tr><th></th><td>Multiple species/positive traps (%)</td><td>40.8</td><td>48.8</td><td>82.5</td><td>57.9</td><td>23.4</td></tr></tbody></table><p>Calculations based on a total of 628 samples in 2017 and 2168 samples in 2018.The number of positive ovitraps with more than one species divided by the total number of positive ovitraps represents the portion of positive ovitraps with multiple species.See Additional file 1: Table S1 for all combinations of species and Additional file 2: dataset S1 for all samplings</p>

opencc-by-4.0Dec 2020View details →
zenodo36/100

Table 3 in Oviposition of AedeS japoNiCUS japoNiCUS (Diptera: Culicidae) and associated native species in relation to season, temperature and land use in western Germany

<p><b>Table 3</b> Coefficients and statistically significant output of predictor variables as calculated by the generalised linear model</p><table><tbody><tr><th></th><th>Estimate</th><th>SE</th><th><i>Z</i> -value</th><th><i>P</i></th></tr></tbody><tbody><tr><th>(Intercept)</th><td>&minus; 29.890</td><td>15.100</td><td>&minus; 19.790</td><td>0.0478*</td></tr><tr><th>Temp_mean</th><td>0.2126</td><td>0.0933</td><td>22.800</td><td>0.0226*</td></tr><tr><th>Cxbin</th><td>0.2732</td><td>0.3148</td><td>0.868</td><td>0.3854</td></tr><tr><th>Plbbin</th><td>0.5999</td><td>0.2253</td><td>26.630</td><td>0.0077*</td></tr><tr><th>F100</th><td>0.4931</td><td>0.4826</td><td>10.220</td><td>0.3068</td></tr><tr><th>F10</th><td>0.7486</td><td>0.4127</td><td>18,140</td><td>0.0697</td></tr><tr><th>F/S</th><td>0.8715</td><td>0.3728</td><td>23.380</td><td>0.0194*</td></tr><tr><th>S10</th><td>10.770</td><td>0.3347</td><td>32.170</td><td>0.0013*</td></tr><tr><th>Ngbi</th><td>0.0412</td><td>0.1157</td><td>0.356</td><td>0.722</td></tr><tr><th>Nhbu</th><td>0.0001</td><td>0.0251</td><td>0.003</td><td>0.9972</td></tr><tr><th>Ngki</th><td>0.0295</td><td>0.0432</td><td>0.684</td><td>0.4941</td></tr><tr><th>Nsei</th><td>&minus; 0.0362</td><td>0.0609</td><td>&minus; 0.594</td><td>0.5528</td></tr><tr><th>Ntei</th><td>&minus; 0.0845</td><td>0.0917</td><td>&minus; 0.922</td><td>0.3566</td></tr><tr><th>Ngfi</th><td>0.1002</td><td>0.0832</td><td>12.050</td><td>0.2283</td></tr><tr><th>Nrbu</th><td>0.0648</td><td>0.0456</td><td>14.200</td><td>0.1557</td></tr></tbody></table><p>Characteristics:negative binomial,link = log, <i>z</i> -values calculated by Wald-test. Response variable:total of <i>Ae. japonicus japonicus</i> -positive ovitraps per location Predictors:Temp_mean = Mean water temperature,binary native taxa occurrence:Cxbin = <i>Cx. pipiens</i> s.l., <i>Plbbin An. plumbeus</i>, land use data: percentage forest:F100 = 100% forest,F10 = 60% forest,F/S = 50% forest,S10 = 40% forest,number of tree species in a 10 m radius of the trap locations (the tree species occurred in more than five transects):Nrbu: <i>Fagus sylvatica</i>, Nhbu: <i>Carpinus betulus</i>, Ngbi: <i>Betula pendula</i>, Nsei: <i>Quercus robur</i>, Ntei: <i>Quercus petreae</i>, Ngfi: <i>Picea abies</i>, Ngki: Pinus sylvestris</p>

opencc-by-4.0Dec 2020View details →
dryad36/100

Using geometric wing morphometrics to distinguish Aedes japonicus japonicus and Aedes koreicus

Open the record for dataset details and reuse information.

publicNov 2023View details →
zenodo32/100

Dataset for: Altered thermal preferences of infected or immune-challenged Aedes aegypti and Ae. japonicus mosquitoes

<p>Dataset for: Altered thermal preferences of infected or immune-challenged Aedes aegypti and Ae. japonicus mosquitoes</p>

opencc-by-4.0Dec 2023View details →
dryad28/100

Data from: Fine-scale spatial and temporal population genetics of Aedes japonicus, a new US mosquito, reveal multiple introductions

Open the record for dataset details and reuse information.

publicDec 2009View details →
dryad20/100

Microsatellite genotypes of Aedes japonicus collected in Belgium and Germany

Open the record for dataset details and reuse information.

publicMar 2021View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record