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.
6,999
datasets available to search
ShareScore release 0.9.0
Dataset results
6,999 results for “Provinces”
Figure 15 in Herpetofaunal diversity and distribution in Kalugala proposed forest reserve, Western province of Sri Lanka
Figure 15. Deforestation inside the KPFR.
Figure 38 in Herpetofaunal diversity and distribution in Kalugala proposed forest reserve, Western province of Sri Lanka
Figure 38. Trimeresurus trigonocephalus.
Figure 30 in Herpetofaunal diversity and distribution in Kalugala proposed forest reserve, Western province of Sri Lanka
Figure 30. Ahaetulla nasuta.
Figure 34 in Herpetofaunal diversity and distribution in Kalugala proposed forest reserve, Western province of Sri Lanka
Figure 34. Dendrelaphis caudolineolatus.
Figure 10a in Herpetofaunal diversity and distribution in Kalugala proposed forest reserve, Western province of Sri Lanka
Figure 10a. Closely connected cultivation (tea and rubber).
Figure 22 in Herpetofaunal diversity and distribution in Kalugala proposed forest reserve, Western province of Sri Lanka
Figure 22. Euphlyctis hexadactylus.
Figure 24 in Herpetofaunal diversity and distribution in Kalugala proposed forest reserve, Western province of Sri Lanka
Figure 24. Hoplobatrachus crassus.
Figure 25 in Herpetofaunal diversity and distribution in Kalugala proposed forest reserve, Western province of Sri Lanka
Figure 25. Lankanectes corrugatus.
Figure 31 in Herpetofaunal diversity and distribution in Kalugala proposed forest reserve, Western province of Sri Lanka
Figure 31. Atretium schistosum.
Figure 1 in Herpetofaunal diversity and distribution in Kalugala proposed forest reserve, Western province of Sri Lanka
Figure 1. Geographical location and map of KPFR.
Index Democracy Province in Indonesia 2023
<p>Shows that this graph analyzes the Indonesian Province Democracy Index in 2023, the data of which comes from the Indonesian Democracy Index (IDI) and the Central Statistics Agency.</p> <p>Interpretation of Index Values Provinces with High Index; Provinces such as “West Kalimantan”, “Special of Capital City Jakarta”, and “East Nusa Tenggara” have a high democracy index (above 100), indicating a better quality of democracy compared to other provinces.</p> <p>Provinces with Low Index; Provinces such as “West Nusa Tenggara”, “Jambi”, and “North Maluku” have a lower index (below 70), indicating a relatively lower quality of democracy.</p> <p>Distribution of Democracy: This graph shows the distribution of the Democracy Index across provinces in Indonesia, where most provinces have index values between 60 and 100. Provinces with an index above 100 stand out in terms of the quality of democracy, while provinces with values below 70 may need more attention in terms of democracy development.</p>
The start and end dates of the 2024 winter and summer vacations for the 31 provinces in mainland China.
<p><span>The start and end dates of the 2024 winter and summer vacations for the 31 provinces in mainland China.</span></p>
Replication data for: Stations of the Publicum Portorium Illyrici are a Strong Predictor of the Mithraic Presence in the Danubian Provinces: Geographical Analysis of the Distribution of the Roman Cult of Mithras
<p>This repository serves as supplementary material for the article "Stations of the Publicum Portorium Illyrici are a Strong Predictor of the Mithraic Presence in the Danubian Provinces: Geographical Analysis of the Distribution of the Roman Cult of Mithras". This work was supported by the European Regional Development Fund project “Beyond Security: Role of Conflict in Resilience-Building” (reg. no.: CZ.02.01.01/00/22_008/0004595). The repository contains the following data:</p> <ol> <li>Dataset for the evidence of the Roman cult of Mithras as collected by Ales Chalupa for the Roman provinces of Raetia, Noricum, Dalmatia, Regio X, Dalmatia, Pannonia, Moesia, Thracia. File: Mithras_AC.geojson</li> <li>Geocoded Latin inscriptions collected from the LIST dataset (Vojtěch Kaše, Petra Heřmánková, & Adéla Sobotková. (2024). LIST (v1.2) [Data set]. Zenodo. <a href="https://doi.org/10.5281/zenodo.10473706" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.10473706</a>) mentioning the deities Mithras, Minerva, Jupiter, Jupiter Dolichenus, Asclepius, Apollo, Mercury, Silvanus, Isis, Hercules in a csv format. Filename format: ListdeitynameWKTv1_2.csv.</li> <li>Dictionary of noun forms for filtering deities Mithras, Minerva, Jupiter, Jupiter Dolichenus, Asclepius, Apollo, Mercury, Silvanus, Isis, Hercules in Latin inscriptions. File: deities_decline.csv</li> <li>Spatial proximity analysis measurements. WEST_GEO_DIST(km) lists distances from Portorium West stations (N=11) to their nearest cult proxy in kilometers in geographical space; WEST_NET_DIST(m) lists distances from Portorium West stations (N=11) to their nearest cult proxy in meters across the transportation network of Roman roads; EAST_GEO_DIST(km) and EAST_NET_DIST(m) follow the same rationale for stations in the Portorium East group (N=16); NORICUM_DIST_NET_30(m) lists distances from Roman settlements in the province Noricum (and in the distance of 30 kilometers beyond the borders of Noricum) to their nearest cult proxy and portorium stations across the transportation network of Roman roads in meters (N=53). File: Distances.xlsx</li> <li>Filtered Mithras_AC dataset with additional evidence from provinces neighboring Noricum for the purposes of correlation analysis. File: Mithras_AC_Noricum_neighbors.geojson</li> <li>Results of Spearman correlation analysis for NORICUM_DIST_NET_30(m). File: NORICUM_RES_NET_30.csv</li> <li>Geocoded Stations of the Publicum Portorium Illyrici. File: Portorium stations.csv</li> <li>Portorium stations divided by administrative segments and attributed with periods based on Sarkisjan's dissertation. Files: Portorium_West_period.csv; Portorium_East_period.csv</li> <li>Portorium members identified by inscriptions based on Sarkisjan's dissertation. File: Portorium_members.csv</li> <li>The closest Mithraic evidence from the Mithras_AC to Portorium West and East stations with a chronological description. Files: mithras_ac_west_closest_period.csv; mithras_ac_east_closest_period.csv</li> </ol>
Table 1 in Risk screening of non-native freshwater fishes in Yunnan Province, China
<p><b>Table 1.</b> Non-native freshwater fish (with taxonomy) screened for their risk of invasiveness in Yunnan Province with the Aquatic Species Invasiveness Screening Kit (AS-ISK)</p><table><tbody><tr><th>Order</th><th>Family</th><th>Taxon name</th><th>Common name</th><th>A priori categorisation</th><th>Native region</th></tr></tbody><tbody><tr><th>Anguilliformes</th><td>Anguillidae</td><td><i>Anguilla anguilla</i></td><td>European eel</td><td>Non-invasive</td><td>Europe</td></tr><tr><td><i>Anguilla japonica</i></td><td>Japanese eel</td><td>Non-invasive</td><td>Asia</td></tr><tr><th>Acipenseriformes</th><td>Acipenseridae</td><td><i>Acipenser baerii</i></td><td>Siberian sturgeon</td><td>Invasive</td><td>Europe, Asia</td></tr><tr><th>Beloniformes</th><td>Hemiramphidae</td><td><i>Hyporhamphus intermedius</i></td><td>Asian pencil halfbeak</td><td>Non-invasive</td><td>China, Japan</td></tr><tr><th>Centrarchiformes</th><td>Centrarchidae</td><td><i>Micropterus salmoides</i></td><td>Largemouth bass</td><td>Invasive</td><td>North America</td></tr><tr><th>Characiformes</th><td>Serrasalmidae</td><td><i>Piaractus brachypomus</i></td><td>Pirapitinga</td><td>Invasive</td><td>Brazil, Colombia</td></tr><tr><td>Prochilo-dontidae</td><td><i>Prochilodus lineatus</i></td><td>Streaked prochilod</td><td>Non-invasive</td><td>Brazil, Chile</td></tr><tr><td>Cyprinidae</td><td><i>Acheilognathus chankaensis</i></td><td>Xingkai bitterling</td><td>Non-invasive</td><td>China</td></tr><tr><td><i>Acheilognathus macropterus</i></td><td>Largefin bitterling</td><td>Non-invasive</td><td>China</td></tr><tr><td><i>Carassius cuvieri</i></td><td>Japanese white crucian carp</td><td>Invasive</td><td>Japan</td></tr><tr><td><i>Ctenopharyngodon idella</i></td><td>Grass carp</td><td>Invasive</td><td>China</td></tr><tr><td><i>Cultrichthys erythropterus</i></td><td>Redfin culter</td><td>Non-invasive</td><td>China</td></tr><tr><td><i>Hypophthalmichthys molitrix</i></td><td>Silver carp</td><td>Invasive</td><td>China</td></tr><tr><td><i>Hypophthalmichthys nobilis</i></td><td>Bighead carp</td><td>Invasive</td><td>China</td></tr><tr><td><i>Labeo rohita</i></td><td>Roho labeo</td><td>Non-invasive</td><td>India, Myanmar</td></tr><tr><td><i>Megalobrama amblycephala</i></td><td>Wuchang bream</td><td>Non-invasive</td><td>China</td></tr><tr><td><i>Mylopharyngodon piceus</i></td><td>Black carp</td><td>Invasive</td><td>China</td></tr><tr><td><i>Parabramis pekinensis</i></td><td>White Amur bream</td><td>Non-invasive</td><td>China</td></tr><tr><td>Cobitidae</td><td><i>Paramisgurnus dabryanus</i></td><td>Taiwaninmutakala</td><td>Non-invasive</td><td>China</td></tr><tr><td>Cyprinidae</td><td><i>Sarcocheilichthys nigripinnis</i></td><td>Rainbow gudgeon</td><td>Non-invasive</td><td>China</td></tr><tr><td><i>Tinca tinca</i></td><td>Tench</td><td>Invasive</td><td>Europe</td></tr><tr><td><i>Toxabramis swinhonis</i></td><td>Thin sharpbelly</td><td>Non-invasive</td><td>China</td></tr><tr><th>Cyprinodontiformes</th><td>Poeciliidae</td><td><i>Gambusia affinis</i></td><td>Western mosquitofish</td><td>Invasive</td><td>America</td></tr><tr><th>Osmeriformes</th><td>Osmeridae</td><td><i>Hypomesus olidus</i></td><td>Pond smelt</td><td>Non-invasive</td><td>China, Japan</td></tr><tr><td>Salangidae</td><td><i>Neosalanx taihuensis</i></td><td>Taihu icefish</td><td>Invasive</td><td>China</td></tr><tr><td><i>Protosalanx hyalocranius</i></td><td>Clearhead icefish</td><td>Non-invasive</td><td>China</td></tr><tr><th>Perciformes</th><td>Cichlidae</td><td><i>Oreochromis aureus</i></td><td>Blue tilapia</td><td>Invasive</td><td>Africa</td></tr><tr><td><i>Oreochromis mossambicus</i></td><td>Mozambique tilapia</td><td>Invasive</td><td>Africa</td></tr><tr><td><i>Oreochromis niloticus</i></td><td>Nile tilapia</td><td>Invasive</td><td>Africa</td></tr><tr><td>Gobiidae</td><td><i>Rhinogobius cliffordpopei</i></td><td>Goby</td><td>Invasive</td><td>China</td></tr><tr><td>Sinipercidae</td><td><i>Siniperca chuatsi</i></td><td>Chinese perch</td><td>Non-invasive</td><td>China</td></tr><tr><th>Salmoniformes</th><td>Salmonidae</td><td><i>Oncorhynchus mykiss</i></td><td>Rainbow trout</td><td>Invasive</td><td>North America</td></tr><tr><td><i>Salmo trutta</i></td><td>Brown trout</td><td>Invasive</td><td>Europe</td></tr><tr><th>Siluriformes</th><td>Ictaluridae</td><td><i>Ameiurus nebulosus</i></td><td>Brown bullhead</td><td>Invasive</td><td>Canada, America</td></tr><tr><td>Clariidae</td><td><i>Clarias gariepinus</i></td><td>North African catfish</td><td>Invasive</td><td>Africa</td></tr><tr><td>Loricariidae</td><td><i>Hypostomus plecostomus</i></td><td>Suckermouth catfish</td><td>Invasive</td><td>South America</td></tr><tr><td>Ictaluridae</td><td><i>Ictalurus punctatus</i></td><td>Channel catfish</td><td>Invasive</td><td>North American</td></tr></tbody></table>
Table 2 in Risk screening of non-native freshwater fishes in Yunnan Province, China
<p><b>Table 2.</b> Non-native freshwater fish species assessed with the Aquatic Species Invasiveness Screening Kit (AS-ISK) for Yunnan Province</p><table><tbody><tr><th>Species name</th><th>A priori categorisation</th><th>Screening component</th><th></th><th>Confidence</th></tr><tr><th>BRA</th><th>BRA+CCA</th><th></th><th>CL</th><th>CF</th></tr><tr><th>Score</th><th>Outcome</th><th>Score</th><th>Outcome</th><th>Delta</th><th>Total</th><th>BRA</th><th>CCA</th><th>Total</th><th>BRA</th><th>CCA</th></tr></tbody><tbody><tr><th><i>Acheilognathus chankaensis</i></th><td>N</td><td>10</td><td>Medium</td><td>8</td><td>Medium</td><td>−2</td><td>3.4</td><td>3.4</td><td>3.5</td><td>0.85</td><td>0.85</td><td>0.88</td></tr><tr><th><i>Acheilognathus macropterus</i></th><td>N</td><td>−2</td><td>Low</td><td>−4</td><td>Low</td><td>−2</td><td>3.3</td><td>3.3</td><td>3.2</td><td>0.81</td><td>0.82</td><td>0.79</td></tr><tr><th><i>Acipenser baerii</i></th><td>Y</td><td>26</td><td>High</td><td>32</td><td>High</td><td>6</td><td>3.0</td><td>3.0</td><td>2.8</td><td>0.74</td><td>0.74</td><td>0.71</td></tr><tr><th><i>Ameiurus nebulosus</i></th><td>Y</td><td>29</td><td>High</td><td>35</td><td>High</td><td>6</td><td>3.0</td><td>3.0</td><td>2.8</td><td>0.75</td><td>0.76</td><td>0.71</td></tr><tr><th><i>Anguilla anguilla</i></th><td>N</td><td>0</td><td>Low</td><td>−2</td><td>Low</td><td>−2</td><td>3.0</td><td>3.0</td><td>3.0</td><td>0.77</td><td>0.77</td><td>0.75</td></tr><tr><th><i>Anguilla japonica</i></th><td>N</td><td>−2</td><td>Low</td><td>−4</td><td>Low</td><td>−2</td><td>3.1</td><td>3.2</td><td>3.0</td><td>0.79</td><td>0.80</td><td>0.75</td></tr><tr><th><i>Carassius cuvieri</i></th><td>Y</td><td>24</td><td>High</td><td>28</td><td>High</td><td>4</td><td>3.1</td><td>3.1</td><td>2.8</td><td>0.78</td><td>0.79</td><td>0.71</td></tr><tr><th><i>Clarias gariepinus</i></th><td>Y</td><td>39.5</td><td>High</td><td>47.5</td><td>High</td><td>8</td><td>3.1</td><td>3.1</td><td>2.8</td><td>0.77</td><td>0.78</td><td>0.71</td></tr><tr><th><i>Ctenopharyngodon idella</i></th><td>Y</td><td>29.5</td><td>High</td><td>33.5</td><td>High</td><td>4</td><td>3.3</td><td>3.3</td><td>3.2</td><td>0.83</td><td>0.84</td><td>0.79</td></tr><tr><th><i>Cultrichthys erythropterus</i></th><td>N</td><td>22.5</td><td>High</td><td>24.5</td><td>High</td><td>2</td><td>3.2</td><td>3.3</td><td>3.0</td><td>0.81</td><td>0.82</td><td>0.75</td></tr><tr><th><i>Gambusia affinis</i></th><td>Y</td><td>39</td><td>High</td><td>41</td><td>High</td><td>2</td><td>3.1</td><td>3.1</td><td>3.0</td><td>0.78</td><td>0.78</td><td>0.75</td></tr><tr><th><i>Hypomesus olidus</i></th><td>N</td><td>16</td><td>Medium</td><td>16</td><td>Medium</td><td>0</td><td>3.2</td><td>3.2</td><td>3.0</td><td>0.79</td><td>0.80</td><td>0.75</td></tr><tr><th><i>Hypophthalmichthys molitrix</i></th><td>Y</td><td>24</td><td>High</td><td>30</td><td>High</td><td>6</td><td>3.3</td><td>3.3</td><td>3.0</td><td>0.83</td><td>0.84</td><td>0.75</td></tr><tr><th><i>Hypophthalmichthys nobilis</i></th><td>Y</td><td>26</td><td>High</td><td>32</td><td>High</td><td>6</td><td>3.3</td><td>3.4</td><td>3.0</td><td>0.84</td><td>0.85</td><td>0.75</td></tr><tr><th><i>Hyporhamphus intermedius</i></th><td>N</td><td>7</td><td>Medium</td><td>7</td><td>Medium</td><td>0</td><td>3.2</td><td>3.2</td><td>3.0</td><td>0.80</td><td>0.80</td><td>0.75</td></tr><tr><th><i>Hypostomus plecostomus</i></th><td>Y</td><td>51</td><td>High</td><td>59</td><td>High</td><td>8</td><td>3.0</td><td>3.0</td><td>3.0</td><td>0.75</td><td>0.74</td><td>0.75</td></tr><tr><th><i>Ictalurus punctatus</i></th><td>Y</td><td>36.5</td><td>High</td><td>42.5</td><td>High</td><td>6</td><td>3.0</td><td>3.0</td><td>2.7</td><td>0.75</td><td>0.76</td><td>0.67</td></tr><tr><th><i>Labeo rohita</i></th><td>N</td><td>10</td><td>Medium</td><td>14</td><td>Medium</td><td>4</td><td>3.1</td><td>3.2</td><td>3.0</td><td>0.79</td><td>0.79</td><td>0.75</td></tr><tr><th><i>Megalobrama amblycephala</i></th><td>N</td><td>10</td><td>Medium</td><td>10</td><td>Medium</td><td>0</td><td>3.4</td><td>3.4</td><td>3.3</td><td>0.84</td><td>0.84</td><td>0.83</td></tr><tr><th><i>Micropterus salmoides</i></th><td>Y</td><td>35</td><td>High</td><td>43</td><td>High</td><td>8</td><td>3.1</td><td>3.2</td><td>2.5</td><td>0.79</td><td>0.81</td><td>0.63</td></tr><tr><th><i>Mylopharyngodon piceus</i></th><td>Y</td><td>29</td><td>High</td><td>35</td><td>High</td><td>6</td><td>3.3</td><td>3.3</td><td>3.0</td><td>0.82</td><td>0.83</td><td>0.75</td></tr><tr><th><i>Neosalanx taihuensis</i></th><td>N</td><td>24.5</td><td>High</td><td>22.5</td><td>High</td><td>−2</td><td>3.4</td><td>3.4</td><td>3.0</td><td>0.85</td><td>0.86</td><td>0.75</td></tr><tr><th><i>Oncorhynchus mykiss</i></th><td>Y</td><td>29</td><td>High</td><td>37</td><td>High</td><td>8</td><td>3.0</td><td>3.0</td><td>2.8</td><td>0.75</td><td>0.75</td><td>0.71</td></tr><tr><th><i>Oreochromis aureus</i></th><td>Y</td><td>49</td><td>High</td><td>61</td><td>High</td><td>12</td><td>3.1</td><td>3.1</td><td>2.7</td><td>0.77</td><td>0.78</td><td>0.67</td></tr><tr><th><i>Oreochromis mossambicus</i></th><td>Y</td><td>44.5</td><td>High</td><td>56.5</td><td>High</td><td>12</td><td>2.9</td><td>3.0</td><td>2.8</td><td>0.75</td><td>0.75</td><td>0.71</td></tr><tr><th><i>Oreochromis niloticus</i></th><td>Y</td><td>47</td><td>High</td><td>59</td><td>High</td><td>12</td><td>2.9</td><td>3.0</td><td>2.5</td><td>0.74</td><td>0.75</td><td>0.63</td></tr><tr><th><i>Parabramis pekinensis</i></th><td>N</td><td>5.5</td><td>Medium</td><td>3.5</td><td>Medium</td><td>−2</td><td>3.3</td><td>3.3</td><td>3.0</td><td>0.81</td><td>0.82</td><td>0.75</td></tr><tr><th><i>Paramisgurnus dabryanus</i></th><td>N</td><td>13.5</td><td>Medium</td><td>17.5</td><td>High</td><td>4</td><td>3.2</td><td>3.2</td><td>3.0</td><td>0.80</td><td>0.80</td><td>0.75</td></tr><tr><th><i>Piaractus brachypomus</i></th><td>Y</td><td>8</td><td>Medium</td><td>12</td><td>Medium</td><td>4</td><td>3.1</td><td>3.1</td><td>3.0</td><td>0.77</td><td>0.77</td><td>0.75</td></tr><tr><th><i>Prochilodus lineatus</i></th><td>N</td><td>11</td><td>Medium</td><td>17</td><td>Medium</td><td>6</td><td>3.1</td><td>3.1</td><td>3.0</td><td>0.76</td><td>0.77</td><td>0.75</td></tr><tr><th><i>Protosalanx hyalocranius</i></th><td>N</td><td>14.5</td><td>Medium</td><td>12.5</td><td>Medium</td><td>−2</td><td>3.1</td><td>3.1</td><td>2.8</td><td>0.76</td><td>0.77</td><td>0.71</td></tr><tr><th><i>Rhinogobius cliffordpopei</i></th><td>Y</td><td>37</td><td>High</td><td>43</td><td>High</td><td>6</td><td>3.1</td><td>3.1</td><td>2.8</td><td>0.76</td><td>0.77</td><td>0.71</td></tr><tr><th><i>Salmo trutta</i></th><td>Y</td><td>18</td><td>High</td><td>12</td><td>Medium</td><td>−6</td><td>2.9</td><td>2.9</td><td>3.0</td><td>0.73</td><td>0.72</td><td>0.75</td></tr><tr><th><i>Sarcocheilichthys nigripinnis</i></th><td>N</td><td>3</td><td>Medium</td><td>3</td><td>Medium</td><td>0</td><td>3.5</td><td>3.5</td><td>3.2</td><td>0.86</td><td>0.87</td><td>0.79</td></tr><tr><th><i>Siniperca chuatsi</i></th><td>N</td><td>14.5</td><td>Medium</td><td>18.5</td><td>High</td><td>4</td><td>3.0</td><td>3.0</td><td>2.8</td><td>0.74</td><td>0.74</td><td>0.71</td></tr><tr><th><i>Tinca tinca</i></th><td>Y</td><td>21</td><td>High</td><td>27</td><td>High</td><td>6</td><td>3.1</td><td>3.1</td><td>3.0</td><td>0.77</td><td>0.77</td><td>0.75</td></tr><tr><th><i>Toxabramis swinhonis</i></th><td>N</td><td>16.5</td><td>Medium</td><td>16.5</td><td>Medium</td><td>0</td><td>3.3</td><td>3.4</td><td>3.2</td><td>0.84</td><td>0.84</td><td>0.79</td></tr><tr><th>A priori categorisation (N: non-invasive; Y: invasive); Screening component (BRA: Basic Risk Assessment, BRA+CCA: BRA+ Climate Change Assessment, Delta: BRA+CCA score minus BRA score); Confidence (CL: confidence level, CF: confidence factor); Outcome (Low: score <1, Medium: 1 ≤ score <17.25, High: score ≥ 17.25)</th></tr></tbody></table>
Table 1 in Prevalence and new genotypes of Enterocytozoon bieneusi in sheltered dogs and cats in Sichuan province, southwestern China
<p><b>Table 1.</b> Prevalence and genotypes of <i>E. bieneusi</i> in sheltered dogs from different cities and sources in Sichuan province, southwestern China.</p><table><tbody><tr><th>City</th><th>Source</th><th>No. examined</th><th>No. positive</th><th>Prevalence (%)</th><th>OR (95% CI)</th><th><i>p-</i> value</th><th>Genotypes (<i>n</i>)</th></tr></tbody><tbody><tr><th></th><td></td><td></td><td></td><td>(95% CI)</td><td></td><td></td><td></td></tr><tr><th>Chengdu</th><td>Shuangliu</td><td>158</td><td>16</td><td>10.1% (5.4–14.8)</td><td>Reference</td><td></td><td>CD9 (8); PtEb IX (7); SCD-1 (1)</td></tr><tr><th></th><td>Wenjiang</td><td>250</td><td>80</td><td>32.0% (26.2–37.8)</td><td>4.176</td><td>0.000</td><td>CD9 (79); PtEb IX (1)</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td>(2.336–7.468)</td><td></td><td></td></tr><tr><th>Ya’ an</th><td>Yucheng</td><td>228</td><td>36</td><td>15.8% (11.1–20.5)</td><td>1.664</td><td>0.112</td><td>CD9 (4); PtEb IX (32)</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td>(0.888–3.117)</td><td></td><td></td></tr><tr><th>Panzhihua</th><td>Dongqu</td><td>44</td><td>2</td><td>4.5% (<i>—</i> 1.6–10.7)</td><td>0.423</td><td>0.264</td><td>CD9 (1); PtEb IX (1)</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td>(0.093–1.913)</td><td></td><td></td></tr><tr><th>Guangyuan</th><td>Lizhou</td><td>44</td><td>2</td><td>4.5% (<i>—</i> 1.6–10.7)</td><td>0.423</td><td>0.264</td><td>Type IV (1); SCD-2 (1)</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td>(0.093–1.913)</td><td></td><td></td></tr><tr><th>Total</th><td></td><td>724</td><td>136</td><td>18.8% (15.9–21.6)</td><td></td><td></td><td>CD9 (92); PtEb IX (41);</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td></td><td></td><td>Type IV (1); SCD-1 (1); SCD-2 (1)</td></tr></tbody></table>
Table 2 in Prevalence and new genotypes of Enterocytozoon bieneusi in sheltered dogs and cats in Sichuan province, southwestern China
<p><b>Table 2.</b> Prevalence and genotypes of <i>E. bieneusi</i> in sheltered cats from different cities and sources in Sichuan province, southwestern China.</p><table><tbody><tr><th>City</th><th>Source</th><th>No. examined</th><th>No. positive</th><th>Prevalence</th><th>OR (95% CI)</th><th><i>p-</i> value</th><th>Genotypes (<i>n</i>)</th></tr></tbody><tbody><tr><th></th><td></td><td></td><td></td><td>(%) (95% CI)</td><td></td><td></td><td></td></tr><tr><th>Chengdu</th><td>Shuangliu</td><td>85</td><td>13</td><td>15.3% (7.6–22.9)</td><td>Reference</td><td></td><td>CD9 (10); D (2); PtEb IX (1)</td></tr><tr><th>Ya’ an</th><td>Yucheng</td><td>23</td><td>3</td><td>13.0% (<i>—</i> 0.7–26.8)</td><td>0.831 (0.215–3.203)</td><td>0.788</td><td>CD9 (1); D (2)</td></tr><tr><th>Panzhihua</th><td>Dongqu</td><td>48</td><td>6</td><td>12.5% (3.1–21.9)</td><td>0.791 (0.280–2.237)</td><td>0.791</td><td>Type IV (6)</td></tr><tr><th>Total</th><td></td><td>156</td><td>22</td><td>14.1% (8.6–19.6)</td><td></td><td></td><td>CD9 (11); Type IV (6);</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td></td><td></td><td>D (4); PtEb IX (1)</td></tr></tbody></table>
Surface displacements related to the 2021 Maduo earthquake in Qinghai province, China
<p>The dataset includes the SAR displacements observations, three-dimensional displacements, the strain invariants, and the slip model related to the 2021 Maduo earthquake in Qinghai province, China.</p>
Simulation results for "COVID-19 vaccination in Sindh Province, Pakistan: a modelling study of health impact and cost-effectiveness"
<p>The high-performance computing results for raw epidemiological simulations and quantiled scenarios associated with https://doi.org/10.1101/2021.02.24.21252338.</p> <p>All results stored as compressed rds files of data.table objects (use-able as data.frame objects) for use with R programming language.</p>
FIG. 10. — Aeshna shanwangensis n in New discoveries of Neogene hawker dragonflies (Insecta, Odonata, Aeshnidae) from Shandong province in China
FIG. 10. — Aeshna shanwangensis n. sp., photograph of specimen CNU-ODO-SS2011011. Scale bar: 10 mm.
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.