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233 results for “Congo Basin”
Appendix 7 in Morphometry and DNA barcoding reveal cryptic diversity in the genus Enteromius (Cypriniformes: Cyprinidae) from the Congo basin, Africa
Appendix 7. PC loadings of the PCA in Fig. 8. Most important loadings indicated in bold.
Appendix 5 in Morphometry and DNA barcoding reveal cryptic diversity in the genus Enteromius (Cypriniformes: Cyprinidae) from the Congo basin, Africa
Appendix 5. PC loadings of the PCA in Fig. 6. Most important loadings indicated in bold.
Appendix 2 in Morphometry and DNA barcoding reveal cryptic diversity in the genus Enteromius (Cypriniformes: Cyprinidae) from the Congo basin, Africa
Appendix 2. PC loadings of the PCA in Fig. 3. Most important loadings indicated in bold.
Appendix 4 in Morphometry and DNA barcoding reveal cryptic diversity in the genus Enteromius (Cypriniformes: Cyprinidae) from the Congo basin, Africa
Appendix 4. PC loadings of the PCA in Fig. 5. Most important loadings indicated in bold.
Appendix 3 in Morphometry and DNA barcoding reveal cryptic diversity in the genus Enteromius (Cypriniformes: Cyprinidae) from the Congo basin, Africa
Appendix 3. PC loadings of the PCA in Fig. 4. Most important loadings indicated in bold.
Liana communities exhibit different species composition, diversity and community structure across forest types in the Congo Basin
<p>Lianas are poorly characterized for central African forests. We quantify variation in liana composition, diversity and community structure in different forest types in the Yangambi Man and Biosphere Reserve, Democratic Republic of Congo. These attributes of liana assemblages were examined in 12 1-ha plots, randomly demarcated within regrowth forest, old-growth monodominant forest, old-growth mixed forest and old-growth edge forest. Using a combination of multivariate and univariate community analyses, we visualize the patterns of these liana assemblage attributes and/or test for their significant differences across forest types. The combined 12 1-ha area contains 2,638 lianas (≥ 2 cm diameter) representing 105 species, 49 genera and 22 families. Liana species composition differed significantly across forest types. Taxonomic diversity was higher in old-growth mixed forests compared to old-growth monodominant and regrowth forests. Trait diversity was higher than expected in the regrowth forest as opposed to the rest of forest types. Similarly, the regrowth forest differed from the rest of forest types in the pattern of liana species ecological traits and diameter frequency distribution. The regrowth forest was also less densely populated in lianas, and had lower liana total basal area than the rest of forest types. We speculate that the mechanism of liana competitive exclusion by dominant tree species is mainly responsible for the lower liana species diversity in monodominant compared to mixed forests. We attribute variation in liana community structure between regrowth and old-growth forests mostly to short development time of size hierarchies.</p>
Women's subsistence networks scaffold cultural transmission among BaYaka foragers in the Congo Basin
<p><span>In hunter-gatherer societies, women's subsistence activities are crucial for food provisioning and children's social learning, but they are understudied relative to men's activities. To better understand the structure of women's foraging networks, we present data of 230 days focal-follows in a BaYaka community. To analyze these data, we develop a stochastic block model for repeat observations with uneven sampling. We find that women's subsistence networks are characterized by cooperation between kin, gender homophily, and mixed age-group composition. During early-childhood, individuals preferentially co-forage with adult kin, but those in middle-childhood and adolescence are likely to co-forage with non-kin peers, providing opportunities for horizontal learning. By quantifying the probability of co-foraging ties across age-classes and relatedness levels, our findings provide insights into the scope for social learning during women's subsistence activities in a real-world foraging population and provide ground-truth values for key parameters used in formal models of cumulative cultural change.</span></p>
Shear strength characterization and statistical modelling of 12 hardwood timber species from the Congo Basin
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Congo Basin forest soil CO2, CH4 and N2O flux data.
<p><span>Tropical forests play an important role in the greenhouse gas exchange between biosphere and atmosphere. Despite holding the second largest tropical forest globally, the Congo basin is generally understudied and ground based greenhouse gas flux data are lacking. In this study, high frequency measurements spanning of sixteen months from automated and manual soil chambers are combined, to characterize spatio-temporal variability in soil greenhouse gas fluxes from a lowland tropical forest in Yangambi, in the Congo Basin. </span></p>
Figure 2 in Fish community assemblages in relation to environmental variables in the Lefini River, middle Congo River basin (Republic of Congo)
Figure 2. – Set of gill nets. A: Station 1 (Ah1); B: Station 10 (Avh1).
Characterization and classification of the Musa AAB Plantain subgroup in the Congo basin
<p>Detailed description (Annex 1) of the Congolese plantain accessions that were treated in the book ’<em>Characterization and classification of the Musa AAB plantain subgroup in the Congo basin</em>’ by Joseph ADHEKA GIRIA & Edmond DE LANGHE. In total 55 accessions are described in detail following highly discriminating descriptors for <em>Musa</em>.</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>
Leaf traits of understory woody species in the Congo Basin forests changed over a 60 years period
<p>Data collected in Yangambambi (DR Congo) and used to prepare the article accepted for publication in the journal Plant Ecology and Evolution. </p>
Liana communities exhibit different species composition, diversity and community structure across forest types in the Congo Basin
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Women’s subsistence networks scaffold cultural transmission among BaYaka foragers in the Congo Basin
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Summary of the microsatellite genotyping analysis of 280 C. gariepinus samples originating from eight locations in the Congo basin using five microsatellite markers
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Data from: Insight into trophic niche differentiation in Labeobarbus (Cyprinidae) in the Luhoho Basin (Upper Congo Basin)
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Subspecies and Distribution. . p. perforatus E. Geoffroy Saint-Hilaire, 1818 — Nile Valley in Egypt and N Sudan. . p. haedinusThomas, 1915 - Middle East (Israel, Arabian Peninsula, and S Iran) E to India, and E Africa from Djibouti to Kenya (including Lamu I) and Tanzania; it may also occur in Eritrea. . p. senegalensis Desmarest, 1820 - scattered localities in W Africa, from S Mauritania, Senegal, and Guinea-Bissau E to NW Nigeria and W Cameroon; it may occur in Guinea and Ivory Coast. . p. sudani Thomas, 1915 — C & S Sudan, South Sudan, Uganda, and S through the Congo Basin to N & E Botswana, S Zimbabwe, and NE South Africa in Emballonuridae
Subspecies and Distribution. . p. perforatus E. Geoffroy Saint-Hilaire, 1818 — Nile Valley in Egypt and N Sudan. . p. haedinusThomas, 1915 - Middle East (Israel, Arabian Peninsula, and S Iran) E to India, and E Africa from Djibouti to Kenya (including Lamu I) and Tanzania; it may also occur in Eritrea. . p. senegalensis Desmarest, 1820 - scattered localities in W Africa, from S Mauritania, Senegal, and Guinea-Bissau E to NW Nigeria and W Cameroon; it may occur in Guinea and Ivory Coast. . p. sudani Thomas, 1915 — C & S Sudan, South Sudan, Uganda, and S through the Congo Basin to N & E Botswana, S Zimbabwe, and NE South Africa
Distribution. Only known with certainty from Mozambique (based on recent morphometric studies), but populations from S South Sudan, Kenya, Tanzania, Congo Basin to N Angola and S to Mozambique and NE South Africa, including Unguja I (Zanzibar Archipelago) are tentatively included here. in Rhinolophidae
Distribution. Only known with certainty from Mozambique (based on recent morphometric studies), but populations from S South Sudan, Kenya, Tanzania, Congo Basin to N Angola and S to Mozambique and NE South Africa, including Unguja I (Zanzibar Archipelago) are tentatively included here.
Dataset: Seasonality, drivers, and isotopic composition of soil CO2 fluxes from tropical forests of the Congo Basin
<p>These data sets contain data from soil CO2 flux measurements and its drivers (soil moisture, soil temperature) from lowland and montane tropical forests of the Congo Basin. Additionally, 13C values of soil emitted CO2, SOC, Leaflitter, and stream dissolved CO2 are reported. A Manuscript using these data sets has been submitted to Biogeosciences</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
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.