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Fig. 3 in Planktonic foraminiferal response to Middle Miocene cooling in the Southern Ocean (ODP Site 747, Kerguelen Plateau)
Fig. 3. Large fraction (>150 µm) Globorotalia percentages in ODP Hole 747A between 15.0 and 12.2 Ma together with coiling ratios and percentages of encrusted individuals. Note 95% confidence intervals marked on the coiling ratio plots. Descriptions with arrows show stratigraphic position of foraminiferal specimens shown on Figs. 4 and 5. Note δ18O data and the five isotopic intervals (A–E) after Majewski and Bohaty (2010).
Fig. 11 in Planktonic foraminiferal response to Middle Miocene cooling in the Southern Ocean (ODP Site 747, Kerguelen Plateau)
Fig. 11. Comparison of test−size variations in Globigerina bulloides at ODP 747A and sea surface temperature (SST) at ODP Site 1171 (Shevenell et al. 2004) between 15.0 and 12.2 Ma.
Fig. 8. Planktonic foraminifers from ODP Site 747, Kerguelen Plateau. A–F in Planktonic foraminiferal response to Middle Miocene cooling in the Southern Ocean (ODP Site 747, Kerguelen Plateau)
Fig. 8. Planktonic foraminifers from ODP Site 747, Kerguelen Plateau. A–F. Globoturborotalita woodi: 7H−5, 68–70 cm (A); 7H−5, 98–100 cm (B); 8H−1, 97.5–99.5 cm (C); 8H−4, 18–20 cm (D); 8H−6, 28–30 cm (E); 9H−2, 28–30 cm (F). G–O. Neogloboquadrina continuosa. G–J. Non−kummeform: 7H−5, 8–10 cm (G); 8H−1, 38–40 cm (H); 8H−2, 68–70 cm (I); 8H−4, 18–20 cm (J). K–O. Kummeform: 7H−5, 8–10 cm (K); 8H−1, 38–40 cm (L, M); 8H−3, 100–102 cm (N); 9H−4, 28–30 cm (O). P–T. Turborotalita quinqueloba: 7H−5, 8–10 cm (P); 7H−7, 8–10 cm (Q); 8H−5, 58–60 cm (R, S); 9H−2, 118–120 cm (T). All SEM images. Scale bars 100 µm. The stratigraphic position of pictured specimens is indicated on Fig. 7.
Fig. 9 in Planktonic foraminiferal response to Middle Miocene cooling in the Southern Ocean (ODP Site 747, Kerguelen Plateau)
Fig. 9. Microperforate planktonic foraminifera and small fraction (63–150 µm) juvenile Globorotalia percentages in ODP Hole 747 between 15.0 and 12.2 Ma. Descriptions with arrows show stratigraphic position of foraminiferal specimens shown on Fig. 10. Note δ18O data and the five isotopic Intervals (A–E) after Majewski and Bohaty (2010).
CESM2.2-8P4Z data supporting Yu et al. (2024): Simulating ecosystem dynamics and marine biogeochemical cycles with multiple plankton functional types
<p><span>This dataset contains the model output from CESM2.2-8P4Z, used in Yu et al. (2024) and</span><span> </span><span>submitted to</span><span> the Journal of Advances in Modeling Earth Systems (JAMES). These are the last 20-year averaged output files from 310 years of the model simulations, which are analyzed in Yu et al., (2024). CESM2.2-8P4Z contains twelve plankton groups, including eight types of phytoplankton:</span><span> </span><span>1</span><span>) picophytoplankton groups: <em>Prochlorococcus</em>, <em>Synechococcus</em>, picoeukaryotes and diazotrophs; 2) nanophytoplankton groups:</span><span> </span><em><span><em>P</em></span></em><em><span><em>haeocystis</em></span></em><span>, <em>coccolithophores</em></span><span> </span><span>and a generic other nanophytoplankton; 3) micro-sized phytoplankton: diatoms</span><span>; and four types of zooplankton:</span><span> </span><span>small microzooplankton (5-20 u</span><span>m, such as ciliates, nanoflagellates), large microzooplankton (20-200 u</span><span>m, such as copepod nauplii, small dinoflagellates etc.), mesozooplankton (200-2000 u</span><span>m, such as smaller copepod, large dinoflagellates) and macrozooplankton (>2000 u</span><span>m, such as larger copepod, krill).</span><span> </span><span>The MARBL-8P4Z model improves seasonal simulation of the spring bloom compared with more simplified MARBL configurations, benefiting from dampened diatom blooms at higher latitudes due to a combination of bottom-up and top-down drivers.</span></p>
Fig. 4 in Unsuccessful predation on Middle Paleozoic plankton: Shell injury and anomalies in Devonian dacryoconarid tentaculites
Fig. 4. The shells of the Recent planktonic gastropod larvae bearing traces of repaired injuries. A. CGU JF819; A1, apical view of cypraeid protoconch with repaired apertural margin; A2, detailed view of specimen A1. B. CGU JF820; B1, detail of view of turrid protoconch; B2, lateral view of turrid protoconch. C. CGU JF821, naticid protoconch with repaired apertural margin. Damaged apertural margins indicated by white arrows. Scale bars 0.1 mm.
Fig. 2 in Unsuccessful predation on Middle Paleozoic plankton: Shell injury and anomalies in Devonian dacryoconarid tentaculites
Fig. 2. The shells of the Early Devonian dacryoconarid tentaculites, with anomalous development of the shell ornament or having repaired injuries. A. The Emsian Homoctenus hanusi Bouček, 1964 (NM L6288) from Daleje−Třebotov Formation, Prague Basin, Holyně locality. Views showing an anomalous development of the shell ornamentation. B. The Pragian Nowakia (Turkestanella) acuaria Richter, 1854 (NM L6291) from Praha Formation, Prague Basin, Bráník locality. Views showing the irregular development of the rings. C. The Emsian Nowakia elegans Barrande, 1867 (CGU PL3970) from the Zlíchov Formation, Prague Basin, Klukovice Locality. Several views demonstrating the damage and the manner of shell repair. All shells illustrated have the same orientation (growth direction is from right to left). Scale bars 1 mm.
Fig. 1 in Unsuccessful predation on Middle Paleozoic plankton: Shell injury and anomalies in Devonian dacryoconarid tentaculites
Fig. 1. Diagrams illustrating the total generic diversity of the Order Dacryoconarida and their turnover rates (relative origination and extinction rates). The generic diversity (including the both genera and subgenera) is defined as the number of generic taxa ranging through the time unit, plus half of the number of those confined to the unit or ranging beyond the time unit, but originating or ending within it. Relative turnover rates (origination or extinction) is defined as the total number of generic level taxa originating or going extinct within the time unit, divided by the total generic diversity. Analysis is based on data of Alberti (1993, 1997a, b, 1998, 2000) and Sepkoski (2002).
Fig. 3 in Unsuccessful predation on Middle Paleozoic plankton: Shell injury and anomalies in Devonian dacryoconarid tentaculites
Fig. 3. Reconstructions of the Emsian tentaculite Nowakia elegans Barrande, 1867. A. Adult shell having normal development. B. Reconstruction of the shell figured here as Fig. 2C.
Data from: Autumn and winter plankton composition and size structure in the North Sea
<p><span>Plankton dynamics in temperate ecosystems have been mainly studied during productive seasons, with comparatively less research conducted during the winter, particularly on microplankton. Implementing plankton sampling during a regular fishery cruise, we investigated the North Sea micro- and mesozooplankton community composition, abundance and size structure (55-2000 µm) during autumn (Buchan/Banks area) and winter (Downs area) between 2013 and 2019. Samples were analyzed using image-based techniques. Community diversity (broad taxa) was relatively similar across years in both areas, with diatoms and tripos taxa sets dominating the microplankton community and gastropods and copepods the mesozooplankton one. The average micro- to mesoozooplankton ratio (in abundance) was 90:1 for Buchan/Banks, resulting in average Normalized Abundance Size Spectra (NASS) slopes of -1.45 ±0.18 SD. For Downs, the micro- to mesoozooplankton ratio was 235:1 and steeper NASS slopes of -1.67 ±0.20 SD due to a lower contribution of large organisms. Interannual changes in the planktonic community for each area and their potential environmental drivers were examined using a redundancy analysis (including taxonomy and size) and a correlation analysis using NASS slopes (size only). Both approaches highlighted the importance of water mass properties (e.g. salinity, temperature, turbidity) in shaping plankton dynamics, although the amount of explained variance differed between approaches (11 versus 46%). <span><span>Our results contribute to a better understanding of standing stocks of plankton and their environmental drivers. Specifically, novel insights were gained into microplankton dynamics, which play an important role in supporting the growth and survival of winter-spawned fish larvae in the North Sea. </span></span></span></p>
The in situ Mg/Ca ratios of planktonic foraminifera shells in the northeastern South China Sea: an attempt to get efficient and reliable proxies
<p>Planktonic foraminifera are one of the important carrier<span>s</span> of the physico-chemical environments. Nowadays, the development of <em>in situ</em> microanalysis technology provides a new opportunity for further understanding the distribution and variation of trace element concentrations in foraminifera shells. In this study, we focus on the <em>in situ</em> Mg/Ca ratios in four planktonic foraminifera shells from the surface sediments of the northeastern slope of the South China Sea (SCS). The results of electron microprobe mapping indicate that <em>G. ruber</em> had periodic bands of high Mg contents and Mg/Ca ratios, consistent with the results of <span>LA-ICP-MS.</span> In contrast, <em>N. dutertrei</em>, <em>P. obliquiloculata,</em> and <em>G.inflata</em> had thick calcite layer with low Mg contents and Mg/Ca ratios. The Mg/Ca ratios of shells may be attributed to symbionts, but the physiological regulation may also have some contributions. Meanwhile, contaminants may lead to the relatively higher Mg/Ca ratios. Therefore, the large Mg/Ca variations in foraminifera shells are not only affected by the surrounding seawater temperature but also constrained by other factors. At last, we employed this method to reconstruct the Mg/Ca-SST in the northeastern SCS over the past ~3000 years. The similar trend to the previous SST records proves that this method is reliable. We hope that this method can be widely applied in the future due to the efficient, fast, and high spatial resolution with small sample amounts.</p>
Table 2 in New observations of Papulifères, putative ciliate cysts, from the plankton of the Chukchi Sea (Western Arctic Ocean) in August of 2023
<p><b>Table 2</b>. The morphological characteristics and sample data (stations and nominal concentrations) of the apparently new Papulifère forms found in the samples taken in 2023. LD refers to longest dimension of the main body (excluding filaments if present). In Morphology Notes, ‘Differs from fig. x.x’ refer to the figures in Dolan et al. 2023; figures are also given in the Supplementary File.</p><table><thead><tr><th>Cyst type</th><th>Morphology Notes</th><th><b>Station</b> (s) found [conc. #L-1] <i># specimens</i></th></tr></thead><tbody><tr><th>2A</th><td><i>Fusopsis sp.,</i> spindle smooth surface/LD 115 µm Differs from fig 6j in larger size and absence of a posterior knob</td><td><b>37</b> [0.01] <i>2</i></td></tr><tr><th>2B</th><td><i>Fusopsis sp</i>., spindle smooth surface/LD 75–85/µm short (3–5µm) filaments Differs from figs 6 f,g,l in larger size and spine lengths & numbers</td><td><b>40</b> [.007] <i>1</i></td></tr><tr><th>2C</th><td><i>Fusopsis sp</i>., spindle smooth surface/LD 50µm/5 long, 25 µm filaments Differs from fig 6c in overall shape small size</td><td><b>54</b> [0.016] <i>1</i></td></tr><tr><th>2D</th><td><i>Fusopsis sp</i>., spindle smooth surface/LD 50 µm/ 3 pairs 30 µm filaments Differs from fig 6g,1 in larger size and filaments in pairs</td><td><b>59</b> [0.007] <i>1</i></td></tr><tr><th>2E</th><td><i>Sphaeropsis sp</i>., oblong smooth surface/ LD 35µm/ 3 10 µm filaments Differs from fig 7f in smaller size and smooth surface</td><td><b>10</b> [0.04] <i>1</i></td></tr><tr><th>2F</th><td><i>Sphaeropsis sp.,</i> oblong smooth surface/LD 70 µm Differs from fig 7h in smaller size and ovoid shape</td><td><b>10</b> [0.01] <i>4</i></td></tr><tr><th>2G</th><td><i>Sphaeropsis sp.,</i> spherical smooth surface/LD 80 µm Differs from fig 7h in smaller size</td><td><b>39</b> [0.08] <i>2</i>, <b>60</b> [0.08] <i>1</i></td></tr><tr><th>2H</th><td><i>Sphaeropsis sp.,</i> oblong smooth surface/LD 105 µm Differs in overall size and shape from other Sphaeropsis in fig7</td><td><b>40</b> [0.004] 1</td></tr></tbody></table>
Table 1. Summary data for the 36 in New observations of Papulifères, putative ciliate cysts, from the plankton of the Chukchi Sea (Western Arctic Ocean) in August of 2023
<p><b>Table 1</b>. Summary data for the 36 stations sampled in 2023. Depth given is the vertical extent of the plankton net tow from the depth indicated to the surface. Chlorophyll <i>a</i> concentration (Chl a) is average integrated concentration (µg L-1) throughout the water column from the surface to approximately the depth of the plankton net tow. Cyst types found refer to the new forms shown in here in Figure 2 (2A-2H), and in the Figures 6 (6A, 6E, 6D) and 7 (7A, 7G, 7H, 7I, 7J, 7K, 7N) in Dolan et al. (2023). For convenience, the supplementary file contains images of all now known Chukchi Sea Papulifère forms in two plates, one showing the 16 spindle-shaped <i>Fusopsis</i> forms, another showing the 18 the spherical and oblong <i>Sphaeropsi</i> s forms.</p><table><thead><tr><th><b>St #</b></th><th><b>Date Aug 2023</b></th><th><b>lat (N°)</b></th><th><b>long (W°)</b></th><th>Tow Depth (m)</th><th><b>Station Depth</b></th><th><b>Chl a</b></th><th><b>SST (C°)</b></th><th><b>cyst types found</b></th></tr></thead><tbody><tr><th>1</th><td>3</td><td>65,17</td><td>–168,69</td><td>45</td><td>55</td><td>1,45</td><td>9,9</td><td>Ø</td></tr><tr><th>2</th><td>3</td><td>66,63</td><td>–168,69</td><td>35</td><td>45</td><td>7,47</td><td>7,8</td><td>Ø</td></tr><tr><th>3</th><td>3</td><td>67,67</td><td>–168,96</td><td>45</td><td>55</td><td>9,92</td><td>6</td><td>Ø</td></tr><tr><th>8</th><td>4</td><td>68,24</td><td>–167,12</td><td>38</td><td>48</td><td>0,74</td><td>12,6</td><td>Ø</td></tr><tr><th>9</th><td>4</td><td>69,17</td><td>–168,67</td><td>43</td><td>53</td><td>0,58</td><td>9,9</td><td>Ø</td></tr><tr><th><b>10</b></th><td><b>5</b></td><td><b>70,50</b></td><td><b>–168,67</b></td><td><b>35</b></td><td><b>45</b></td><td><b>6,48</b></td><td><b>6</b></td><td><b>2E, 2F</b></td></tr><tr><th>11</th><td>5</td><td>71,43</td><td>–168,67</td><td>40</td><td>50</td><td>0,75</td><td>7,9</td><td>Ø</td></tr><tr><th><b>13</b></th><td><b>5</b></td><td><b>72,36</b></td><td><b>–168,66</b></td><td><b>50</b></td><td><b>60</b></td><td><b>6,16</b></td><td><b>1</b></td><td><b>6A</b></td></tr><tr><th>16</th><td>6</td><td>73,89</td><td>–168,19</td><td>100</td><td>183</td><td>1,5</td><td>1</td><td>Ø</td></tr><tr><th>18</th><td>6</td><td>74,80</td><td>–167,90</td><td>100</td><td>195</td><td>0,413</td><td>1</td><td>Ø</td></tr><tr><th><b>21</b></th><td><b>7</b></td><td><b>76,00</b></td><td><b>–170,49</b></td><td><b>100</b></td><td><b>1315</b></td><td><b>1,22</b></td><td><b>–0,5</b></td><td><b>6A, 7H, 7K, 7N</b></td></tr><tr><th><b>23</b></th><td><b>8</b></td><td><b>77,00</b></td><td><b>–170,00</b></td><td><b>100</b></td><td><b>2214</b></td><td><b>0,53</b></td><td><b>–1,1</b></td><td><b>6A</b></td></tr><tr><th>24</th><td>8</td><td>77,00</td><td>–174,99</td><td>100</td><td>2012</td><td>0,34</td><td>–1,3</td><td>Ø</td></tr><tr><th>25</th><td>9</td><td>77,00</td><td>179,95</td><td>100</td><td>1081</td><td>0,09</td><td>–1,2</td><td>OE</td></tr><tr><th><b>27</b></th><td><b>12</b></td><td><b>78,54</b></td><td><b>–177,58</b></td><td><b>100</b></td><td><b>1009</b></td><td><b>0,07</b></td><td><b>–1,2</b></td><td><b>7K</b></td></tr><tr><th><b>28</b></th><td><b>13</b></td><td><b>80,00</b></td><td><b>172,40</b></td><td><b>100</b></td><td><b>2702</b></td><td><b>0,14</b></td><td><b>–1</b></td><td><b>6A</b></td></tr><tr><th>29</th><td>14</td><td>79,00</td><td>172,80</td><td>100</td><td>2561</td><td>0,15</td><td>–0,9</td><td>Ø</td></tr><tr><th>30</th><td>14</td><td>78,00</td><td>173,20</td><td>100</td><td>1133</td><td>0,14</td><td>0,3</td><td>Ø</td></tr><tr><th>31</th><td>15</td><td>77,00</td><td>173,60</td><td>100</td><td>740</td><td>0,4</td><td>0,2</td><td>Ø</td></tr><tr><th><b>32</b></th><td><b>15</b></td><td><b>76,00</b></td><td><b>173,61</b></td><td><b>100</b></td><td><b>265</b></td><td><b>0,2</b></td><td><b>–1,1</b></td><td><b>7H</b></td></tr><tr><th><b>33</b></th><td><b>16</b></td><td><b>75,00</b></td><td><b>173,60</b></td><td><b>100</b></td><td><b>147</b></td><td><b>0,07</b></td><td><b>–0,06</b></td><td><b>6E</b></td></tr><tr><th>36</th><td>16</td><td>74,00</td><td>170,16</td><td>40</td><td>52</td><td>0,1</td><td>–0,8</td><td>Ø</td></tr><tr><th><b>37</b></th><td><b>17</b></td><td><b>74,69</b></td><td><b>174,62</b></td><td><b>60</b></td><td><b>72</b></td><td><b>0,2</b></td><td><b>–1</b></td><td><b>2A</b></td></tr><tr><th><b>39</b></th><td><b>18</b></td><td><b>75,73</b></td><td><b>177,18</b></td><td><b>100</b></td><td><b>499</b></td><td><b>0,15</b></td><td><b>–1,3</b></td><td><b>2G</b></td></tr><tr><th><b>40</b></th><td><b>20</b></td><td><b>75,07</b></td><td><b>176,80</b></td><td><b>100</b></td><td><b>196</b></td><td><b>0,31</b></td><td><b>–1,2</b></td><td><b>2B, 2H, 7I, 7N</b></td></tr><tr><th><b>43</b></th><td><b>21</b></td><td><b>75,16</b></td><td><b>–179,97</b></td><td><b>100</b></td><td><b>539</b></td><td><b>0,35</b></td><td><b>–1,4</b></td><td><b>6D, 6E, 7J</b></td></tr><tr><th>45</th><td>21</td><td>75,15</td><td>–176,00</td><td>100</td><td>327</td><td>1,36</td><td>–1</td><td>Ø</td></tr><tr><th><b>47</b></th><td><b>22</b></td><td><b>75,24</b></td><td><b>–171,97</b></td><td><b>100</b></td><td><b>505</b></td><td><b>2,73</b></td><td><b>–0,7</b></td><td><b>6A, 7J</b></td></tr><tr><th><b>50</b></th><td><b>23</b></td><td><b>75,69</b></td><td><b>–166,64</b></td><td><b>100</b></td><td><b>392</b></td><td><b>3,1</b></td><td><b>–0,9</b></td><td><b>6A, 7H, 7N</b></td></tr><tr><th><b>52</b></th><td><b>23</b></td><td><b>76,57</b></td><td><b>–164,36</b></td><td><b>100</b></td><td><b>550</b></td><td><b>0,019</b></td><td><b>–1,1</b></td><td><b>7G</b></td></tr><tr><th><b>54</b></th><td><b>24</b></td><td><b>77,47</b></td><td><b>–164,10</b></td><td><b>100</b></td><td><b>280</b></td><td><b>0,32</b></td><td><b>–1,3</b></td><td><b>2C, 7J</b></td></tr><tr><th><b>56</b></th><td><b>25</b></td><td><b>77,49</b></td><td><b>–158,73</b></td><td><b>100</b></td><td><b>1323</b></td><td><b>0,02</b></td><td><b>–1,3</b></td><td><b>7H, 7J</b></td></tr><tr><th>57</th><td>26</td><td>76,30</td><td>–156,22</td><td>100</td><td>725</td><td>0,23</td><td>–0,1</td><td>Ø</td></tr><tr><th>58</th><td>26</td><td>76,52</td><td>–159,78</td><td>100</td><td>2113</td><td>0,21</td><td>–1</td><td>Ø</td></tr><tr><th>59</th><td>27</td><td>75,50</td><td>–161,15</td><td>100</td><td>2098</td><td>0,2</td><td>–0,5</td><td>2D, 7A</td></tr><tr><th>60</th><td>27</td><td>74,52</td><td>–162,15</td><td>100</td><td>1596</td><td>0,27</td><td>1,8</td><td>2G, 6A, 7A, 7H</td></tr></tbody></table>
Linked collectors and determiners for: Salpida species off the Catalan coast (NW Mediterranean) during summer 2003 and 2004. Neustonic and epipelagic planktonic sampling.
Natural history specimen data linked to collectors and determiners held within, "Salpida species off the Catalan coast (NW Mediterranean) during summer 2003 and 2004. Neustonic and epipelagic planktonic sampling". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/44aae8d4-cfcf-40fc-a3b0-274260069431">https://bionomia.net/dataset/44aae8d4-cfcf-40fc-a3b0-274260069431</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/44aae8d4-cfcf-40fc-a3b0-274260069431">https://gbif.org/dataset/44aae8d4-cfcf-40fc-a3b0-274260069431</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Planktonic, benthic and sympagic copepods collected in the desalination unit during the XXXIVth Expedition of the Italian National Antarctic Program (PNRA).
Natural history specimen data linked to collectors and determiners held within, "Planktonic, benthic and sympagic copepods collected in the desalination unit during the XXXIVth Expedition of the Italian National Antarctic Program (PNRA)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/081daea5-fe6a-4303-bcc3-126b65d0adeb">https://bionomia.net/dataset/081daea5-fe6a-4303-bcc3-126b65d0adeb</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/081daea5-fe6a-4303-bcc3-126b65d0adeb">https://gbif.org/dataset/081daea5-fe6a-4303-bcc3-126b65d0adeb</a>. Formatted as a Frictionless Data package.
Figures 1–4 in The freshwater medusa Limnocnida and associated plankton in the floodplain of the Ayeyarwaddy River, Myanmar
Figures 1–4. Limnocnida from Myanmar. (1) Whole umbrella showing primary tentacles on one quadrant, and all tentacles on another quadrant. (2) Umbrella margin, showing bases of two primary tentacles with associated secondary tentacles and statocysts. (3) Part of the basal region of a tentacle showing groups of nematocysts. (4) Arrangement of nematocysts near the tip of a tentacle.
Spatiotemporal analysis of plankton drivers in the Belgian part of the North Sea. Data, scripts and model output
This archive contains the input data, R scripts and final results of a mechanistic model that uses near real-time data from the Belgian Part of the North Sea (2011-2017) to quantify the relative contributions of the bottom-up and top-down drivers in phytoplankton dynamics. Input data are zooplankton and phytoplankton abundances, nutrients, Sea Surface Temperature (SST), photosynthetically active radiation (PAR); from the LifeWatch data and infrastructure, funded by Research Foundation - Flanders (FWO). Water temperature data for one of the locations was obtained from Flemish Banks Monitoring Network at https://meetnetvlaamsebanken.be/. The R scripts are presented in a R Markdown file that can be executed in the Blue-Cloud Zoo and Phytoplankton EOV products Vlab at https://blue-cloud.d4science.org/web/zoo-phytoplankton_eov, operated by D4Science.org, www.d4science.org (Assante et al., 2019).
Dataset for: 'Patterns in the Plankton – Spatial distribution and long-term variability of copepods on the Agulhas Bank'
<p>This dataset contains environmental data (in situ temperature and chlorophyll <em>a</em>) and integrated biomass (mg C m<sup>-2</sup>) data for a number of copepod taxa, as well as total copepod biomass and abundance, on the Agulhas Bank, South Africa, as predicted by a Generalized Additive Model (GAM), during late austral spring (October-December) from 1988 to 2011. Mean environmental and copepod biomass parameters for each area and year are also provided. Relevant information on sampling and statistical analysis of spatial distributions has been extracted from the paper. Please see paper for full details and figures, including supplementary data; <a href="https://doi.org/10.1016/j.dsr2.2023.105265">https://doi.org/10.1016/j.dsr2.2023.105265</a>. Please see the Word document Huggett_et_al_2023_README.docx for a list of the data files and descriptions of the contents.</p>
Impact of climate warming on phenological asynchrony of plankton dynamics across Europe
<p>This dataset includes all data as well as the scripts used to produce figures from both the main text and the supporting information from Gronchi et al. (2023) "Impact of climate warming on phenological asynchrony of plankton dynamics across Europe".</p> <p> </p> <p>Detailed description:</p> <p>Data_TDM_Validation.csv: file containing observed versus simulated timings of TDM for 18 lakes of western Europe.</p> <p>result_full_reference.mat and result_full_const_4C_warming.mat contain the 31-years medians of the lake phenologies for the 16 different simulated lake types and for both the reference and the constant +4°C climate scenario.</p> <p>The two scripts Plot_Fig_1_and_3.m and Plot_Supplement.m are responsible for the production, after treatment of the data, of figures 1 and 3 from the main text and most of the supplement respectively. These scripts include a detailed description of the variables used for producing these figures.</p> <p>Figures 2, 4, S1, S2 and S3 were done with R. For each of these figures there is their respective R script and the reorganized dataset used to produce them.</p> <p> </p> <p>Because of the large size of the inputs and outputs files analyzed in this study we only included the scripts (Output_Generation_Example.m and lakelayerdepth_1.m) and the data ( Meteo_Era_52.5_13.5.dat; Z30_ST00_KW06_52.5_13.5.LST Z30_ST00_KW06_52.5_13.5.Temp) necessary for generation of the phenology medians for one specific lake type at the reference scenario as example. The full dataset (~4To) can be given upon request.</p> <p>Ackowledgment: This product includes color specifications and designs developed by Cynthia Brewer (http://colorbrewer.org/)</p> <p> </p> <p> </p>
Fig. 8 in Planktonic foraminiferal assemblage in surface sediments from the Thukela Shelf, South Africa
Fig. 8. (A, D) Globigerinoides conglobatus (Brady, 1879), sample C; (B, C) G. conglobatus, sample 22; (E, F) Globigerinoides trilobus (Reuss, 1850), sample 22; (G, H) Globigerinoides sacculifer (Brady, 1877), sample 22; (I) G. sacculifer, sample 22.
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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.