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528 results for “correspondence”
Data from: Genomic data detect corresponding signatures of population size change on an ecological time scale in two salamander species
Understanding the demography of species over recent history (e.g., < 100 years) is critical in studies of ecology and evolution, but records of population history are rarely available. Surveying genetic variation is a potential alternative to census-based estimates of population size, and can yield insight into the demography of a population. However, to assess the performance of genetic methods it is important to compare their estimates of population history to known demography. Here, we leveraged the exceptional resources from a wetland with 37 years of amphibian mark-recapture data to study the utility of genetically-based demographic inference on salamander species with documented population declines (Ambystoma talpoideum) and expansions (A. opacum); patterns that have been shown to be correlated with changes in wetland hydroperiod. We generated ddRAD data from two temporally sampled populations of A. opacum (1993, 2013) and A. talpoideum (1984, 2011) and used coalescent-based demographic inference to compare alternate evolutionary models. For both species, demographic model inference supported population size changes that corroborated mark-recapture data. Parameter estimation in A. talpoideum was robust to our variations in analytical approach, while estimates for A. opacum were highly inconsistent, tempering our confidence in detecting a demographic trend in this species. Overall, our robust results in A. talpoideum suggest that genome-based demographic inference has utility on an ecological scale, but researchers should also be cognizant that these methods may not work in all systems and evolutionary scenarios. Demographic inference may be an important tool for population monitoring and conservation management planning.
FIGURE 15 in Fieber's original drawings and their corresponding types for the family Issidae (Hemiptera, Fulgoromorpha) in the Muséum national d'Histoire naturelle of Paris, France
FIGURE 15—Bergevinium angulare (Fieber, 1877) (as "angulare").
FIGURE 14 in Fieber's original drawings and their corresponding types for the family Issidae (Hemiptera, Fulgoromorpha) in the Muséum national d'Histoire naturelle of Paris, France
FIGURE 14—Fieberium impressum (Fieber, 1877) (as "impressum").
FIGURE 17 in Fieber's original drawings and their corresponding types for the family Issidae (Hemiptera, Fulgoromorpha) in the Muséum national d'Histoire naturelle of Paris, France
FIGURE 17—Thabenula sulcata (Fieber, 1876) (as "sulcatus Fieb").
FIGURE 10 in Fieber's original drawings and their corresponding types for the family Issidae (Hemiptera, Fulgoromorpha) in the Muséum national d'Histoire naturelle of Paris, France
FIGURE 10—Thabena fissala (Fieber, 1876): A,
FIGURE 18 in Fieber's original drawings and their corresponding types for the family Issidae (Hemiptera, Fulgoromorpha) in the Muséum national d'Histoire naturelle of Paris, France
FIGURE 18—Thabenula sulcata (Fieber, 1876): A,
Class-aware Sounding Objects Localization via Audiovisual Correspondence
<p>Videos for "Class-aware Sounding Objects Localization via Audiovisual Correspondence"</p>
Class-aware Sounding Objects Localization via Audiovisual Correspondence_mp4
<p>Class-aware Sounding Objects Localization via Audiovisual Correspondence</p>
Data cubes corresponding to the article "Three-dimensional Structure of the Corona during WHPI Campaign Rotations CR-2219 and CR-2223"
<p>CONTENTS of REPOSITORY:</p> <p>The shared data corresponds to 3D tomographic reconstructions and 3D MHD simulations of the solar corona and solar wind of WHPI targets CR-2219 and CR-2223. Each 3D cube of data is specified in a uniform spherical grid, as described in the IDL codes that allow reading the cubes into memory. The specific shared products are: </p> <p>3D Tomographic reconstructions:<br> * DEMT: Electron density (Ne) and temperature (Te) in the height range 1.02-1.25 Rsun (based on AIA images).<br> * WL-SRT: Electron density (Ne) in the height range 2.5-6.0 Rsun (based on LASCO-C2 data). </p> <p>3D MHD steady-state simulations using the AWSoM model:<br> * Electron density (Ne) and temperature (Te).<br> * Magnetic field components (Br, Bth, Bph).<br> * Radial component of the solar wind velocity (Vr).</p> <p>INSTRUCTIONS: The IDL script included contains comments describing how to read into memory the data.<br> </p>
CrackNJ156 dataset and the corresponding LETNet conde
<p>CrackNJ156 dataset and the corresponding LETNet conde</p>
Variation in leaf transcriptome responses to elevated ozone corresponds with physiological sensitivity to ozone across maize inbred lines
<p>All FASTA files used for BLAST analyses and all BLAST results for <a href="https://doi.org/10.1093/genetics/iyac080">https://doi.org/10.1093/genetics/iyac080</a> are included. Descriptions of each file can be found in README_maize_genetics_2022_zenodo.csv and further information about the content of the files can be found on <a href="https://github.com/McIntyre-Lab/papers/tree/master/nanni_maize_2022">github</a>.</p>
FIGURE 10 in Correspondence of larval and postlarval instars in two species of the subgenus Zaracarus (Acari: Erythraeidae: Erythraeus) established with laboratory rearing
FIGURE 10. Erythraeus (Zaracarus) rupestris (Linnaeus, 1758), adult: Leg setae.
FIGURE 8 in Correspondence of larval and postlarval instars in two species of the subgenus Zaracarus (Acari: Erythraeidae: Erythraeus) established with laboratory rearing
FIGURE 8. Erythraeus (Zaracarus) rupestris (Linnaeus, 1758), adult: Habitus, dorsal view.
FIGURE 3 in Correspondence of larval and postlarval instars in two species of the subgenus Zaracarus (Acari: Erythraeidae: Erythraeus) established with laboratory rearing
FIGURE 3. Erythraeus (Zaracarus) budapestensis Fain and Ripka, 1998, larva: General view.
Banding Patches Dataset with Corresponding Banded and Pristine Pairs
<p>Contains 51,490 pairs of matching banded and pristine image patches of size 256x256. </p>
Fig. 5 in Botanical geography correspondence between Alexander von Humboldt and Filippo Parlatore (1851-1852)
Fig. 5 - Rhynchosia caribaea (Jacq.) DC. (= R. acuminata Eckl. & Zeyh., nom. superfl.). (Fabaceae). Leguminous plant of centralsouthern Africa received by Parlatore from the Cape of Good Hope (courtesy of the Department of Botany in the Natural History Museum of the University of Florence). / Rhynchosia caribaea (Jacq.) DC. (= R. acuminata Eckl. & Zeyh., nom. superfl.). (Fabaceae). Leguminosa dell'Africa centro-meridionale pervenuta a Parlatore dal Capo di Buona Speranza (per gentile concessione del Dipartimento di Botanica del Museo di Storia Naturale dell'Università di Firenze).
Corresponding Dataset for "Electron Density in Io's Alfvén Wing Observed via Radio Occultation with Juno"
<div> Corresponding Dataset for "Electron Density in Io’s Alfvén Wing </div> <div> Observed via Radio Occultation with Juno"</div> <div> README FILE</div> <div> Dustin Buccino</div> <div> July 15, 2024</div> <div> Jet Propulsion Laboratory</div> <div> California Institute of Technology</div> <div> </div> <div>=============================================================================</div> <div>INTRODUCTION</div> <div>=============================================================================</div> <div> </div> <div> This dataset contains processed radio science data and results of the</div> <div>Juno Ganymede radio occultation. This dataset is provided in order to </div> <div>supplement the submitted article to the "Geophysical Research Letters"</div> <div>journal:</div> <div> </div> <div> Buccino, D.R., et al (2024), Electron Density in Io’s Alfvén Wing </div> <div> Observed via Radio Occultation with Juno, Geophysical Research </div> <div> Letters, submitted July 2024.</div> <div> </div> <div> </div> <div> Please note the raw data used in this analysis are not provided in this</div> <div>supplementary dataset. The raw Juno Gravity Science Data may be found at </div> <div>the Planetary Data System:</div> <div> </div> <div> Buccino, D. R. (2016). Juno jupiter gravity science raw data set </div> <div> V1.0, JUNO-J-RSS-1 JUGR-V1.0, NASA planetary data system (PDS). </div> <div> Retrieved from https://atmos.nmsu.edu/PDS/data/jnogrv_1001/</div> <div> </div> <div> </div> <div>=============================================================================</div> <div>ARCHIVE INFORMATION</div> <div>=============================================================================</div> <div> </div> <div> This archive contains ten files within the root directory.</div> <div> </div> <div> </div> <div> I57 Data</div> <div> </div> <div> i57_observed.txt</div> <div> Raw frequency observables. Reported as X-band minus Ka-band,</div> <div>see paper for details (X_freq - 880.0/3360.0*Ka_freq)</div> <div> </div> <div> i57_tec.csv</div> <div>Total electron content information from the flyby</div> <div>(uncalibrated, model, calibrated data)</div> <div> </div> <div> i57_density_inbound_raytracing.txt</div> <div>Estimated electron density inbound during the flyby </div> <div>estimated with the ray tracing method (see paper)</div> <div> </div> <div> i57_density_outbound_raytracing.txt</div> <div>Estimated electron density outbound during the flyby </div> <div>estimated with the ray tracing method (see paper)</div> <div> </div> <div> i57_density_tubes.csv</div> <div>Estimated electron density during the flyby using</div> <div>the horizontal tubes method (see paper)</div> <div> </div> <div> I58 Data</div> <div> </div> <div> i58_observed.txt</div> <div> Raw frequency observables. Reported as X-band minus Ka-band,</div> <div>see paper for details (X_freq - 880.0/3360.0*Ka_freq)</div> <div> </div> <div> i58_tec.csv</div> <div>Total electron content information from the flyby</div> <div>(uncalibrated, model, calibrated data)</div> <div> </div> <div> i58_density_inbound_raytracing.txt</div> <div>Estimated electron density inbound during the flyby </div> <div>estimated with the ray tracing method (see paper)</div> <div> </div> <div> i58_density_outbound_raytracing.txt</div> <div>Estimated electron density outbound during the flyby </div> <div>estimated with the ray tracing method (see paper)</div> <div> </div> <div> i58_density_tubes.csv</div> <div>Estimated electron density during the flyby using</div> <div>the horizontal tubes method (see paper)</div> <div> </div> <div>=============================================================================</div> <div>FILE FORMAT</div> <div>=============================================================================</div> <div> </div> <div> This dataset contains only ASCII formatted files. There are two formats,</div> <div> a plain-text file with the extension *.txt and a comma-separated file</div> <div> with the extension *.csv.</div> <div> </div> <div> </div> <div> PLAIN-TEXT FILES</div> <div> -------------------------------------------------------------------------</div> <div> </div> <div> The plain ASCII text files (TXT) files are fixed-width columns. Values in</div> <div> each data file are separated with spaces. Each column is defined </div> <div> by a header row which provides a description of each column.</div> <div> </div> <div> CSV FILES</div> <div> -------------------------------------------------------------------------</div> <div> </div> <div> The Comma-Separated Value (CSV) files are plain-text files. Values in</div> <div> each data file are separated using a comma ",". Each column is defined </div> <div> by a header row which provides a description of each column.</div> <div> </div> <div> </div> <div>=============================================================================</div> <div>ACKNOWLEDGMENTS</div> <div>=============================================================================</div> <div> </div> <div>The work of DB, MP, RP, and SL was carried out at the Jet Propulsion </div> <div>Laboratory, California Institute of Technology, under a contract with the </div> <div>National Aeronautics and Space Administration. Government sponsorship </div> <div>acknowledged.</div> <div> </div> <div>AC, LGC, MZ, EG, and PT are grateful to the Italian Space Agency (ASI) for </div> <div>financial support through Agreement No. 2023-6-HH.0 in the context of ESA’s </div> <div>JUICE mission, and Agreement No. 2022-16-HH.0, for ESA’s BepiColombo and </div> <div>NASA’s Juno radio science experiments.</div> <div> </div> <div>PW and DC acknowledge support from NASA award 80NSSC23K0020.</div> <div> </div> <div>PS was supported by NASA Contract NNM06AA75C from the Marshall Space </div> <div>Flight Center under subcontract 699054X from Southwest Research Institute.</div> <div> </div> <div>(c) 2024 California Institute of Technology. Government sponsorship </div> <div>acknowledged.</div> <div> </div> <div>=============================================================================</div> <div>PRIMARY POINT OF CONTACT</div> <div>=============================================================================</div> <div> </div> <div>Dustin Buccino</div> <div>Jet Propulsion Laboratory</div> <div>Planetary Radar and Radio Sciences</div> <div>(818) 393 - 1072</div> <div>Dustin.R.Buccino@jpl.nasa.gov</div> <div> </div> <div>=============================================================================</div> <div>ACRONYMS AND ABBREVIATIONS</div> <div>=============================================================================</div> <div> </div> <div> ASCII American Standard Code for Information Interchange</div> <div> DOY Day of year</div> <div> DSN Deep Space Network</div> <div> JPL Jet Propulsion Laboratory</div> <div> NAIF Navigation Ancillary Information Facility</div> <div> NASA National Aeronautics and Space Administration</div> <div> PDS Planetary Data System</div> <div> RS Radio Science</div> <div> RSS Radio Science Subsystem</div> <div> SIS Software Interface Specification</div> <div> TXT Text file</div> <div> UTC Universal Time, Coordinated</div>
Table ¹: Comparison of analysis of variance results for skull (occlusal view) and mandible (side view) shape in Rhipidomys mastacalis from three vegetation classes in Brazil. Object asymmetry and correspondence methods were employed to assess asymmetry for skulls and mandibles, respectively. in Morphological symmetry of Rhipidomys mastacalis (Mammalia, Rodentia, Cricetidae) in fragmented habitats of the Atlantic Forest in Northeastern Brazil: a study on the influence of the environment on an endemic species
<p><b>Table ¹:</b> Comparison of analysis of variance results for skull (occlusal view) and mandible (side view) shape in <i>Rhipidomys mastacalis</i> from three vegetation classes in Brazil.Object asymmetry and correspondence methods were employed to assess asymmetry for skulls and mandibles,respectively.</p><table><tbody><tr><th><b>Shape procrustes ANOVA</b></th></tr></tbody><tbody><tr><th><b>Effect Sum of squares</b></th><td><b>Mean squares</b></td><td><b>Degrees of freedom</b></td><td><i>F statistic</i></td><td><i>p -Value</i></td><td><b>Pillai tr.</b></td><td><i>p -Value</i></td></tr><tr><th><b>Skulls</b></th></tr><tr><th><b>Forested vegetation</b></th></tr><tr><th>Individual</th><td>0.19908517</td><td>0.0004253957</td><td>468</td><td>22.36</td><td><0.0001</td><td>–</td><td>–</td></tr><tr><th>Side</th><td>0.00366522</td><td>0.0002036232</td><td>18</td><td>10.70</td><td><0.0001</td><td>–</td><td>–</td></tr><tr><th>Individual × side</th><td>0.00890443</td><td>0.0000190266</td><td>468</td><td>2.24</td><td><0.0001</td><td>–</td><td>–</td></tr><tr><th>Error 1</th><td>0.00825565</td><td>0.0000084935</td><td>972</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th><b>Occupancy mosaics in forested areas</b></th></tr><tr><th>Individual</th><td>0.37829478</td><td>0.0003965354</td><td>954</td><td>18.57</td><td><0.0001</td><td>–</td><td>–</td></tr><tr><th>Side</th><td>0.00547536</td><td>0.0003041869</td><td>18</td><td>14.25</td><td><0.0001</td><td>–</td><td>–</td></tr><tr><th>Individual × side</th><td>0.02037065</td><td>0.0000213529</td><td>954</td><td>1.89</td><td><0.0001</td><td>–</td><td>–</td></tr><tr><th>Error 1</th><td>0.02201359</td><td>0.0000113239</td><td>1944</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th><b>Cocoa plantations</b></th></tr><tr><th>Individual</th><td>0.0645902300</td><td>0.0001302222</td><td>496</td><td>5.18</td><td><0.0001</td><td>–</td><td>–</td></tr><tr><th>Side</th><td>0.0113531900</td><td>0.0007095741</td><td>16</td><td>28.23</td><td><0.0001</td><td>–</td><td>–</td></tr><tr><th>Individual × side</th><td>0.0124666800</td><td>0.0000251344</td><td>496</td><td>1.88</td><td><0.0001</td><td>–</td><td>–</td></tr><tr><th>Error 1</th><td>0.0136608800</td><td>0.0000133407</td><td>1024</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th><b>Mandibles</b></th></tr><tr><th><b>Forested vegetation</b></th></tr><tr><th>Individual</th><td>0.70443879</td><td>0.0012579264</td><td>560</td><td>8.10</td><td><0.0001</td><td>14.16</td><td><0.0001</td></tr><tr><th>Side</th><td>0.00549957</td><td>0.0002749783</td><td>20</td><td>1.77</td><td>0.0207</td><td>0.0207</td><td>0.0069</td></tr><tr><th>Individual × side</th><td>0.08696012</td><td>0.0001552859</td><td>560</td><td>2.46</td><td><0.0001</td><td>10.75</td><td><0.0001</td></tr><tr><th>Error 1</th><td>0.07312665</td><td>0.0000387718</td><td>1160</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th><b>Occupancy mosaics in forested areas</b></th></tr><tr><th>Individual</th><td>1.19843989</td><td>0.0011984399</td><td>1000</td><td>8.16</td><td><0.0001</td><td>14.70</td><td><0.0001</td></tr><tr><th>Side</th><td>0.01169771</td><td>0.0005848855</td><td>20</td><td>3.98</td><td><0.0001</td><td>0.74</td><td>0.0001</td></tr><tr><th>Individual × side</th><td>0.14685738</td><td>0.0001468574</td><td>1000</td><td>3.03</td><td><0.0001</td><td>11.21</td><td><0.0001</td></tr><tr><th>Error 1</th><td>0.09880745</td><td>0.0000484350</td><td>2040</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th><b>Cocoa plantations</b></th></tr><tr><th>Individual</th><td>0.3269927600</td><td>0.0004808717</td><td>680</td><td>4.52</td><td><0.0001</td><td>14.14</td><td><0.0001</td></tr><tr><th>Side</th><td>0.0143644400</td><td>0.0007182221</td><td>20</td><td>6.75</td><td><0.0001</td><td>0.86</td><td>0.0017</td></tr><tr><th>Individual × side</th><td>0.0723474900</td><td>0.0001063934</td><td>680</td><td>2.39</td><td><0.0001</td><td>10.41</td><td>0.0017</td></tr><tr><th>Error 1</th><td>0.0622041800</td><td>0.0000444316</td><td>1400</td><td>–</td><td>–</td><td>–</td><td>–</td></tr></tbody></table>
Table ²: Comparison of the results of analysis of variance on the shape of scapulae (occlusal view) and pelvis (side view) in Rhipidomys mastacalis from three vegetation classes in Brazil. Correspondence asymmetry was the only method used for asymmetry analysis. in Morphological symmetry of Rhipidomys mastacalis (Mammalia, Rodentia, Cricetidae) in fragmented habitats of the Atlantic Forest in Northeastern Brazil: a study on the influence of the environment on an endemic species
<p><b>Table ²:</b> Comparison of the results of analysis of variance on the shape of scapulae (occlusal view) and pelvis (side view) in <i>Rhipidomys mastacalis</i> from three vegetation classes in Brazil. Correspondence asymmetry was the only method used for asymmetry analysis.</p><table><tbody><tr><th><b>Shape procrustes ANOVA</b></th></tr></tbody><tbody><tr><th><b>Effect Sum of squares</b></th><td><b>Mean squares</b></td><td><b>Degrees of freedom</b></td><td><i>F statistic</i></td><td><i>p -Value</i></td><td><b>Pillai tr.</b></td><td><i>p -Value</i></td></tr><tr><th><b>Scapulae</b></th></tr><tr><th><b>Forested vegetation</b></th></tr><tr><th>Individual</th><td>0.0941373400</td><td>0.0010459705</td><td>90</td><td>3</td><td><0.0001</td><td>–</td><td>–</td></tr><tr><th>Side</th><td>0.0100439600</td><td>0.0010043960</td><td>2.88</td><td>0.0037</td><td>0.0003</td><td>–</td><td>–</td></tr><tr><th>Individual × side</th><td>0.0314069500</td><td>0.0003489662</td><td>90</td><td>5.89</td><td><0.0001</td><td>4.91</td><td><0.0001</td></tr><tr><th>Error 1</th><td>0.0118544100</td><td>0.0000592721</td><td>200</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th><b>Occupancy mosaics in forested areas</b></th></tr><tr><th>Individual</th><td>0.2064168200</td><td>0.0010320841</td><td>200</td><td>4.82</td><td><0.0001</td><td>7.15</td><td><0.0001</td></tr><tr><th>Side</th><td>0.0262808000</td><td>0.0026280796</td><td>10</td><td>12.28</td><td><0.0001</td><td>0.86</td><td>0.0022</td></tr><tr><th>Individual × side</th><td>0.0428160400</td><td>0.0002140802</td><td>200</td><td>2.68</td><td><0.0001</td><td>4.98</td><td><0.0001</td></tr><tr><th>Error 1</th><td>0.0335675700</td><td>0.0000799228</td><td>420</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th><b>Cocoa plantations</b></th></tr><tr><th>Individual</th><td>0.2508635400</td><td>0.0009291242</td><td>270</td><td>4.07</td><td><0.0001</td><td>7.11</td><td><0.0001</td></tr><tr><th>Side</th><td>0.0256608100</td><td>0.0025660812</td><td>10</td><td>11.24</td><td><0.0001</td><td>0.87</td><td><0.0001</td></tr><tr><th>Individual × side</th><td>0.0616394000</td><td>0.0002282941</td><td>270</td><td>3.10</td><td><0.0001</td><td>5.72</td><td><0.0001</td></tr><tr><th>Error 1</th><td>0.0412323300</td><td>0.0000736292</td><td>560</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th><b>Pelvis</b></th></tr><tr><th><b>Forested vegetation</b></th></tr><tr><th>Individual</th><td>0.0543411200</td><td>0.0004312787</td><td>126</td><td>4.63</td><td><0.0001</td><td></td><td></td></tr><tr><th>Side</th><td>0.0043155600</td><td>0.0003082544</td><td>14</td><td>3.31</td><td>0.0002</td><td></td><td></td></tr><tr><th>Individual × side</th><td>0.0117297800</td><td>0.0000930935</td><td>126</td><td>2.31</td><td><0.0001</td><td>6.07</td><td><0.0001</td></tr><tr><th>Error 1</th><td>0.0112943700</td><td>0.000040337</td><td>280</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th><b>Occupancy mosaics in forested areas</b></th></tr><tr><th>Individual</th><td>0.1059661700</td><td>0.0003440460</td><td>308</td><td>4.42</td><td><0.0001</td><td>9.69</td><td><0.0001</td></tr><tr><th>Side</th><td>0.0049395300</td><td>0.0003528236</td><td>14</td><td>4.53</td><td><0.0001</td><td>0.85</td><td>0.0311</td></tr><tr><th>Individual × side</th><td>0.0239852500</td><td>0.0000778742</td><td>308</td><td>2.00</td><td><0.0001</td><td>6.64</td><td><0.0001</td></tr><tr><th>Error 1</th><td>0.0251368400</td><td>0.0000390324</td><td>644</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th><b>Cocoa plantations</b></th></tr><tr><th>Individual</th><td>0.1292837500</td><td>0.0003420205</td><td>378</td><td>5.68</td><td><0.0001</td><td>10.51</td><td><0.0001</td></tr><tr><th>Side</th><td>0.0043550500</td><td>0.0003110747</td><td>14</td><td>5.17</td><td><0.0001</td><td>0.84</td><td>0.0016</td></tr><tr><th>Individual × side</th><td>0.0227608400</td><td>0.0000602139</td><td>378</td><td>2.24</td><td><0.0001</td><td>6.17</td><td><0.0001</td></tr><tr><th>Error 1</th><td>0.0210413800</td><td>0.0000268385</td><td>714</td><td>–</td><td>–</td><td>–</td><td>–</td></tr></tbody></table>
Supplemental information for: An early burst in brachiopod evolution corresponding with significant climatic shifts during the great Ordovician biodiversification event
<p>We employ modified tip-dating methods to date divergence times within the Strophomenoidea, one of the most abundant and species-rich brachiopod clades to radiate during the Great Ordovician Biodiversification Event (GOBE), to determine if significant environmental changes at this time correlate with the diversification of the clade. Models using origination, extinction and sampling rates to estimate prior probabilities of divergence times strongly support both high rates of anatomical change per million-years and rapid divergences shortly before the clade first appears in the fossil record. These divergence times indicate much higher rates of cladogenesis than typical of brachiopods during this interval. The correspondence of high speciation rates and high anatomical disparity suggests punctuated (speciational) change drove the high frequencies of early anatomical change, which in turn suggests increased ecological opportunities rather than shifting developmental constraints account for high rates of anatomical change. The pulse of rapid evolution began coincident with cooling temperatures, the start of major oscillations in sea level, and increased levels of atmospheric oxygen. Our results suggest that these factors permitted major geographic and ecological expansion of strophomenoids with intervals of geographic isolation, resulting in elevated speciation rates and corresponding elevated frequencies of punctuated change.</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.