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35 results for “FishBase”

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Figure 3 in Educational use of FishBase by public aquariums

Figure 3. – The percentage of respondents using different information types provided by FishBase.

opencc-by-4.0Dec 2023View details →
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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. &ndash; 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>U&eacute;l&eacute;</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>L&eacute;fini-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>

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Figure 1. – Map showing the 247 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

Figure 1. – Map showing the 247 AfriBasins. Rivers based on the HydroSHEDS 15-arc seconds dataset, lakes modified from the RWDB2 River and Surface Water Body Outlines African Water Resources Database. A high resolution version is available online.

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Figure 1 in Measuring the scientific impact of FishBase after three decades

Figure 1. – The number of new fish species being encoded in FishBase each year since its creation in the late 1980s.

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Figure 5 in Historical review of the computerization of the MNHN Fish Collection and its collaboration with FishBase

Figure 5. – Cumulative evolution of the number of taxa in the collection from 1742 to 2021 in black and per year in grey.

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Figure 6 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

Figure 6 (left). – Scatterplots of the first two axes from the correspondence analyses on the fish distribution data for the Congo Basin s.s. A: All 28 AfriBasins, 970 species; B: 24 AfriBasins, 789 species; C: 8 AfriBasins, 504 species; D: 16 AfriBasins, 573 species; E: 9 AfriBasins, 474 species. Colours correspond to the clusters identified in the cluster analyses (Fig. 5).

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Figure 4. – AfriBasin units for the Congo River basin s.s 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

Figure 4. – AfriBasin units for the Congo River basin s.s. Rivers based on the HydroSHEDS 15-arc seconds dataset, lakes modified from the RWDB2 River and Surface Water Body Outlines African Water Resources Database (see Jenness et al., 2007a, b).

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Figure 12 in Historical review of the computerization of the MNHN Fish Collection and its collaboration with FishBase

Figure 12. – MNHN-FishBase collaboration and dataflow since 1999. A: Data flow from 1999 to 2002; (1): checking taxonomic data uses FishBase-ECoF and GICIM; (2): data flow from GICIM to FishBase; and (3): from FishBase to GBIF, OBIS and FishNet. B: Dataflow since 2002; (4): direct link from GICIM to GBIF, OBIS and FishNet; (5): link from GBIF to FishBase; and (6): Taxonomic workflow, checking taxonomic data from FishBase-GICIM-ECoF to WORMS. [An additional link could be added from FishBase to COL, but it is independent from GICIM.]

opencc-by-4.0Dec 2023View details →
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Figure 1 in Educational use of FishBase by public aquariums

Figure 1. – An example panel in a public aquarium displaying information about the species, its family, its common name in four languages; a photograph; its distribution range as a map); its size; its diet and its IUCN red list status.

opencc-by-4.0Dec 2023View details →
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Figure 3 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

Figure 3. – Total number and percentage of native and endemic species per family within the Congo Basin s.s. Families ordered by total number of species. "Other" includes the following families, all with no more than three species of which none are endemic: Dasyatidae, Hepsetidae, Protopteridae, Channidae, Mugilidae, Notopteridae, Syngnathidae, Ariidae, Carangidae, Cynoglossidae, Elopidae, Latidae, Megalopidae, Ophichthidae, Pantodontidae, Phractolaemidae, Pristidae and Pristigasteridae.

opencc-by-4.0Dec 2023View details →
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Figure 1 in Aquariums and FishBase partnership to increase knowledge of fish biology

Figure 1. – Classical path for getting data published and then available on-line on FishBase (A) and alternative way proposed in the present project (B).

opencc-by-4.0Dec 2023View details →
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Figure 2 in Aquariums and FishBase partnership to increase knowledge of fish biology

Figure 2. – Categories found on Fish- Base on the species page. Example for Ampriprion ocellaris. https://fishbase. mnhn.fr/summary/Amphiprion-ocella- ris.html [accessed on 24 Apr. 2022].$

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Figure 11 in Historical review of the computerization of the MNHN Fish Collection and its collaboration with FishBase

Figure 11. – Page section snapshot of the ledger 1864-1871, the Livre d'Entrées (Entry Ledger).

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Figure 4 in Historical review of the computerization of the MNHN Fish Collection and its collaboration with FishBase

Figure 4. – Geographical enrichment of the MNHN Fish Collection from 1742 to 2021.

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Figure 3 in Historical review of the computerization of the MNHN Fish Collection and its collaboration with FishBase

Figure 3. – Enrichment of the MNHN Fish Collection from 1742 to 2021 in numbers per year.

opencc-by-4.0Dec 2023View details →

ScienceDex guides

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

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Allen Brain Atlas

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

Annotated Behaviour and Observability Dataset (ABODe)

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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

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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

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