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10,016 results for “Observation”

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zenodo40/100

model data for "Observed and Model-Simulated Dramatic Bottom Temperature Variations During a Weakened Typhoon in the Northern Yellow Sea"-part06

<p>This dataset is part six of the FVCOM model data of typhoon Lekima during August 2019. The data is in netcdf format.&nbsp;<br>Each nc file contained varaibles including sea level elevation, current, temperature, salinity and mixing parameters of 24 hours dring one day.</p>

opencc-by-4.0Sep 2024View details →
zenodo40/100

model data for "Observed and Model-Simulated Dramatic Bottom Temperature Variations During a Weakened Typhoon in the Northern Yellow Sea"-part05

<p>This dataset is part five of the FVCOM model data of typhoon Lekima during August 2019. The data is in netcdf format.&nbsp;<br>Each nc file contained varaibles including sea level elevation, current, temperature, salinity and mixing parameters of 24 hours dring one day.</p>

opencc-by-4.0Sep 2024View details →
zenodo40/100

model data for "Observed and Model-Simulated Dramatic Bottom Temperature Variations During a Weakened Typhoon in the Northern Yellow Sea"-part02

<p>This dataset is part two of the FVCOM model data of typhoon Lekima during August 2019. The data is in netcdf format.&nbsp;<br>Each nc file contained varaibles including sea level elevation, current, temperature, salinity and mixing parameters of 24 hours dring one day.</p>

opencc-by-4.0Sep 2024View details →
zenodo40/100

model data for "Observed and Model-Simulated Dramatic Bottom Temperature Variations During a Weakened Typhoon in the Northern Yellow Sea"-part03

<p>This dataset is part three of the FVCOM model data of typhoon Lekima during August 2019. The data is in netcdf format.&nbsp;<br>Each nc file contained varaibles including sea level elevation, current, temperature, salinity and mixing parameters of 24 hours dring one day.</p>

opencc-by-4.0Sep 2024View details →
zenodo40/100

model data for "Observed and Model-Simulated Dramatic Bottom Temperature Variations During a Weakened Typhoon in the Northern Yellow Sea"-part04

<p>This dataset is part one of the? FVCOM model data of typhoon Lekima during August 2019. The data is in netcdf format.&nbsp;<br>Each nc file contained varaibles including sea level elevation, current, temperature, salinity and mixing parameters of 24 hours dring one day.</p>

opencc-by-4.0Sep 2024View details →
zenodo40/100

model data for "Observed and Model-Simulated Dramatic Bottom Temperature Variations During a Weakened Typhoon in the Northern Yellow Sea"-Part01

<p>This dataset is part one of the&nbsp; FVCOM model data of typhoon Lekima during August 2019. The data is in netcdf format. Each nc file contained varaibles including sea level elevation, current, temperature, salinity and mixing parameters of 24 hours dring one day.</p>

opencc-by-4.0Sep 2024View details →
zenodo40/100

Dog neuroimaging data from: Action observation reveals a network with divergent temporal and parietal cortex engagement in dogs compared to humans

<p>Action observation is a fundamental pillar of social cognition. Neuroimaging research has revealed a human and non-human primate action observation network (AON) encompassing fronto-temporo-parietal areas with links to the species&rsquo; imitation tendencies and relative lobe expansion. Dogs (Canis familiaris) have good action perception and imitation skills and a less expanded parietal than temporal cortex, but their AON remains unexplored. We conducted a functional MRI study with 28 dogs and 40 humans and found functionally analogous involvement of somatosensory and temporal brain areas of both species&rsquo; AONs and responses to transitive and intransitive action observation in line with their imitative skills. Employing a functional localizer, we also identified functionally analogous agent-responsive areas within both species&rsquo; AONs. However, activation and task-based functional connectivity measures suggested significantly less parietal cortex involvement in dogs than in humans. These findings advance our understanding of the neural bases of action understanding and the convergent evolution of social cognition, with analogies and differences resulting from similar social environments and divergent brain expansion, respectively.</p> <p>This data set contains:</p> <ul> <li>raw functional neuroimaging data of <em>N</em> = 28 dogs</li> <li>structural scans of the same dogs including brain masks &amp; skull-stripped versions</li> <li>eventfiles containing the condition names, onsets and durations for each dog and task run</li> </ul> <p>Data of the comparative human neuroimaging sample will be made available by the first author upon reasonable request.</p> <p>Please also visit our Open Science Framework project site for group-level imaging data of both species (https://osf.io/z479k/).</p>

opencc-by-4.0Sep 2024View details →
zenodo40/100

Supplementary dataset for "Global Climatology of the Daytime Surface Cooling of Urban Parks Using Satellite Observations"

<p>This dataset supplements the paper "Global Climatology of the Daytime Surface Cooling of Urban Parks Using Satellite Observations" in Geophysical Research Letters by Agathangeldis et al.</p> <ul> <li>The file "parks.gpkg" contains the boundaries of the parks used in the study, along with the Surface Park Cool Island (SPCI) intensity and additional metadata as attributes.</li> <li>The file "parks.csv" includes the same information as "parks.gpkg" but without the geospatial information.</li> <li>The file "seasonal_values" provides the SPCI intensity for each park, broken down by season.</li> </ul>

opencc-by-4.0Oct 2024View details →
zenodo40/100

Dataset for "On the potential of the Cluster Ion Counter (CIC) to observe local new particle formation, condensation sink and growth rate of newly formed particles"

<p>Data for Kulmala et al. (2024 )"On the potential of the Cluster Ion Counter (CIC) to observe local new particle formation, condensation sink and growth rate of newly formed particles" (https://doi.org/10.5194/ar-2024-14).</p> <p>Included in the file are number concentrations of sub-2 nm ions and 2-2.3 nm ions measured with&nbsp; Cluster Ion Counter (CIC) and Neutral cluster and&nbsp; Air Ion Spectrometer (NAIS) at&nbsp; SMEAR II station in Hyyti&auml;l&auml;, Finland. Concentrations of 1-2 nm ions measured with the NAIS are also included. Sub-2 nm (2-2.3 nm) ion concentrations measured with CIC are refered as Channel 1 (Channel 2-Channel 3) in the .csv file.</p> <p>Contact Santeri Tuovinen (santeri.tuovinen@helsinki.fi) for more details.</p>

opencc-by-4.0Oct 2024View details →
zenodo40/100

Supplementary data for ''Observations of the Clear-Sky Spectral Longwave Feedback at Surface Temperatures Between 210K and 310K"

<h3>This is supplementary data for the manuscript ''Observations of the Clear-Sky Spectral Longwave Feedback at Surface Temperatures Between 210K and 310K".</h3> <h3>satellite_data.nc</h3> <p>This file contains the spectral feedback derived from satellite observations by the AIRS instrument (Huang et al., 2020, DOI: 10.5067/5P7KQ31XI7XJ) as a function of wavenumber and surface temperature regime.</p> <h3>model_data_Ts.nc</h3> <p>This file contains the atmospheric profiles from our single-column model that were used for the radiative transfer calculations as well as the spectrally resolved outgoing longwave radiation from those calculations.</p> <h3>model_data_regimes.nc</h3> <p>This file contains derived atmospheric variables used for our analysis as well as the spectral longwave feedback for different surface temperature regimes.</p> <h3>brightness_temperatures.nc</h3> <p>This file contains the simulated and observed brightness temperatures averaged over the atmospheric window for different skin temperatures.</p> <h3>surface_skin_temperatures.nc</h3> <p>This file contains bin-averaged near-surface air temperatures and skin temperatures from ERA5 reanalysis and AIRS retrieval.</p>

opencc-by-4.0May 2024View details →
zenodo40/100

EQ MaDo postseismic geodetic observations

<p>GPS_time_serise.zip --- The raw (_ori.txt) and fitting (_fit.txt) time series of&nbsp; GPS stations</p> <p>InSAR_ removed_outlier _and_downsampling.zip --- the corrected InSAR data</p> <p>postseismic_slip.zip ---The result of afterslip, including the pure afterslip model and The preferred model&nbsp;</p> <p>inversion_script.zip --- The inversion script used in the manuscript. It is based on the CSI code (<a href="https://www.geologie.ens.fr/~jolivet/csi/">https://www.geologie.ens.fr/~jolivet/csi/</a>)</p>

opencc-by-4.0Mar 2024View details →
zenodo40/100

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 Papulif&egrave;re forms found in the samples taken in 2023. LD refers to longest dimension of the main body (excluding filaments if present). In Morphology Notes, &lsquo;Differs from fig. x.x&rsquo; 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 &micro;m 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&ndash;85/&micro;m short (3&ndash;5&micro;m) filaments Differs from figs 6 f,g,l in larger size and spine lengths &amp; 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 50&micro;m/5 long, 25 &micro;m 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 &micro;m/ 3 pairs 30 &micro;m 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 35&micro;m/ 3 10 &micro;m 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 &micro;m 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 &micro;m 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 &micro;m Differs in overall size and shape from other Sphaeropsis in fig7</td><td><b>40</b> [0.004] 1</td></tr></tbody></table>

opencc-by-4.0Feb 2024View details →
zenodo40/100

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 (&micro;g 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 Papulif&egrave;re 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&deg;)</b></th><th><b>long (W&deg;)</b></th><th>Tow Depth (m)</th><th><b>Station Depth</b></th><th><b>Chl a</b></th><th><b>SST (C&deg;)</b></th><th><b>cyst types found</b></th></tr></thead><tbody><tr><th>1</th><td>3</td><td>65,17</td><td>&ndash;168,69</td><td>45</td><td>55</td><td>1,45</td><td>9,9</td><td>&Oslash;</td></tr><tr><th>2</th><td>3</td><td>66,63</td><td>&ndash;168,69</td><td>35</td><td>45</td><td>7,47</td><td>7,8</td><td>&Oslash;</td></tr><tr><th>3</th><td>3</td><td>67,67</td><td>&ndash;168,96</td><td>45</td><td>55</td><td>9,92</td><td>6</td><td>&Oslash;</td></tr><tr><th>8</th><td>4</td><td>68,24</td><td>&ndash;167,12</td><td>38</td><td>48</td><td>0,74</td><td>12,6</td><td>&Oslash;</td></tr><tr><th>9</th><td>4</td><td>69,17</td><td>&ndash;168,67</td><td>43</td><td>53</td><td>0,58</td><td>9,9</td><td>&Oslash;</td></tr><tr><th><b>10</b></th><td><b>5</b></td><td><b>70,50</b></td><td><b>&ndash;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>&ndash;168,67</td><td>40</td><td>50</td><td>0,75</td><td>7,9</td><td>&Oslash;</td></tr><tr><th><b>13</b></th><td><b>5</b></td><td><b>72,36</b></td><td><b>&ndash;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>&ndash;168,19</td><td>100</td><td>183</td><td>1,5</td><td>1</td><td>&Oslash;</td></tr><tr><th>18</th><td>6</td><td>74,80</td><td>&ndash;167,90</td><td>100</td><td>195</td><td>0,413</td><td>1</td><td>&Oslash;</td></tr><tr><th><b>21</b></th><td><b>7</b></td><td><b>76,00</b></td><td><b>&ndash;170,49</b></td><td><b>100</b></td><td><b>1315</b></td><td><b>1,22</b></td><td><b>&ndash;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>&ndash;170,00</b></td><td><b>100</b></td><td><b>2214</b></td><td><b>0,53</b></td><td><b>&ndash;1,1</b></td><td><b>6A</b></td></tr><tr><th>24</th><td>8</td><td>77,00</td><td>&ndash;174,99</td><td>100</td><td>2012</td><td>0,34</td><td>&ndash;1,3</td><td>&Oslash;</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>&ndash;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>&ndash;177,58</b></td><td><b>100</b></td><td><b>1009</b></td><td><b>0,07</b></td><td><b>&ndash;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>&ndash;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>&ndash;0,9</td><td>&Oslash;</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>&Oslash;</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>&Oslash;</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>&ndash;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>&ndash;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>&ndash;0,8</td><td>&Oslash;</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>&ndash;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>&ndash;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>&ndash;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>&ndash;179,97</b></td><td><b>100</b></td><td><b>539</b></td><td><b>0,35</b></td><td><b>&ndash;1,4</b></td><td><b>6D, 6E, 7J</b></td></tr><tr><th>45</th><td>21</td><td>75,15</td><td>&ndash;176,00</td><td>100</td><td>327</td><td>1,36</td><td>&ndash;1</td><td>&Oslash;</td></tr><tr><th><b>47</b></th><td><b>22</b></td><td><b>75,24</b></td><td><b>&ndash;171,97</b></td><td><b>100</b></td><td><b>505</b></td><td><b>2,73</b></td><td><b>&ndash;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>&ndash;166,64</b></td><td><b>100</b></td><td><b>392</b></td><td><b>3,1</b></td><td><b>&ndash;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>&ndash;164,36</b></td><td><b>100</b></td><td><b>550</b></td><td><b>0,019</b></td><td><b>&ndash;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>&ndash;164,10</b></td><td><b>100</b></td><td><b>280</b></td><td><b>0,32</b></td><td><b>&ndash;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>&ndash;158,73</b></td><td><b>100</b></td><td><b>1323</b></td><td><b>0,02</b></td><td><b>&ndash;1,3</b></td><td><b>7H, 7J</b></td></tr><tr><th>57</th><td>26</td><td>76,30</td><td>&ndash;156,22</td><td>100</td><td>725</td><td>0,23</td><td>&ndash;0,1</td><td>&Oslash;</td></tr><tr><th>58</th><td>26</td><td>76,52</td><td>&ndash;159,78</td><td>100</td><td>2113</td><td>0,21</td><td>&ndash;1</td><td>&Oslash;</td></tr><tr><th>59</th><td>27</td><td>75,50</td><td>&ndash;161,15</td><td>100</td><td>2098</td><td>0,2</td><td>&ndash;0,5</td><td>2D, 7A</td></tr><tr><th>60</th><td>27</td><td>74,52</td><td>&ndash;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>

opencc-by-4.0Feb 2024View details →
zenodo40/100

Data sets for distributed ionospheric L-band scintillation and TEC observations made in the American sector during the March 23-24, 2023 geomagnetic storm

<p>These data sets contain the scintillation measurements presented in the manuscript titled, "On the extraordinary L-band scintillation event observed in the American sector during the March 23-24, 2023 geomagnetic storm".</p> <p><br>The HDF5 files are organized by constellations and satellites. Each satellite includes the following parameters: Azimuth (AZIM), Elevation (ELEV), Number of Samples (NOS), Amplitude Scintillation Index (S4), 1-minute average SNR (SNR), relative Total Electron Content (PTEC), and Time of Week in seconds (S_TW)</p>

opencc-by-4.0Oct 2024View details →
zenodo40/100

Dataset for paper "The naphthylated LEGO-lipophosphonoxin antibiotics used as a fluorescent tool for observation of target membrane perturbations preceding its disruption"

<p><span><span><span>The individual text files contain all the numerical data shown in Figures 2-10 in the publication.</span></span></span></p>

opencc-by-4.0Oct 2024View details →
zenodo40/100

Datasets for Earth Observation Using Python: A Practical Programming Guide

<p>These are the datasets used in the <a href="https://agupubs.onlinelibrary.wiley.com/doi/book/10.1002/9781119606925">2021 Edition</a> of "Earth Observation Using Python: A Practical Programming Guide." These contain example text, csv, netCDF, and GRIB files that are used in code exercises within the book. Datasets are original files and modified public domain files from large Earth satellite data providers, such as NASA, NOAA, EUMETSAT, and ESA. These files may be used freely, but if not heavilly modified, please attribute credit to the original author for collecting the examples.</p>

opencc-by-4.0Jul 2021View details →
zenodo40/100

Inputs (forcing, observations and config file) for the experiments included in "Spatio-temporal snow data assimilation with the ICESat-2 laser altimeter".

<p>Inputs or the experiments included in the manuscript <a href="https://doi.org/10.5194/egusphere-2024-1404">Spatio-temporal snow data assimilation with the ICESat-2 laser altimeter</a>.&nbsp;</p> <p>Three experiment's inputs (forcing, observations and config file)&nbsp; for the Multiple Snow data Assimilation system (<a href="https://doi.org/10.5281/zenodo.11147258">MuSA</a>, v2.1) for the experimental catchment of Izas in the Spanish Pyrenees. All the experiments use ERA5 data downscaled to 20 m spatial resolution with the statistical downscaling tool&nbsp;<a href="https://doi.org/10.21105/joss.05059">TopoPySCALE</a>. The experiments assimilate different variables.&nbsp;</p> <p>&nbsp;&nbsp; C) assimilation of fSCA retrieved from Sentinel-2;</p> <p>&nbsp;&nbsp; D) assimilation of snow depth profiles retrieved with ICESat-2;</p> <p>&nbsp;&nbsp; J) joint assimilation of variables in C) and D).</p> <p>&nbsp;</p> <p>All the experiments assimilate the observations with the deterministic ensemble smoother with multiple data assimilation (DES-MDA) scheme.</p>

opencc-by-4.0Oct 2024View details →
zenodo40/100

Processed data used for JGR publication "Role of Midwater Mixed Waves in the Loop Current Separation Events from A Coupled Ocean-Atmosphere Regional Model and In-Situ Observations"

<p>This is the processed dataset used in the JGR publication "Role of Midwater Mixed Waves in the Loop Current Separation Events from A Coupled Ocean-Atmosphere Regional Model and In-Situ Observations" by Xiao Ge.</p> <p>Please contact the author (gexiao@tamu.edu) for all the original/processed outputs of R-CESM, and use the following original papers as citations.</p> <p>The dataset used in this research includes:</p> <p>1. Loop Current Dynamics 2009-2011: LC_*.nc is the processed (reorganized) data for each in-situ station, * represents their station ID</p> <ul> <li>https://digital.library.unt.edu/ark:/67531/metadc955416/</li> <li>https://www.sciencedirect.com/science/article/pii/S0377026516301348?via%3Dihub</li> <li>https://search.dataone.org/view/%7BBD2513E6-3B34-4B7C-BCB9-3C4ED5E8D0FB%7D</li> </ul> <p>2. Regional Community Earth System Model, R-CESM: <a href="https://zenodo.org/api/records/13932074/draft/files/h.nc/content" target="_blank" rel="noopener noreferrer">h.nc</a> is the bathymetry data of R-CESM; cmpr_*.nc files are provided as examples of the original R-CESM outputs; pvsf_prho_*.nc are the processed (subsampled at the target region and interpolated on potential density layers, derived stream function, potential vorticity, and relative vorticity) R-CESM outputs used in this research; and&nbsp;<a href="https://zenodo.org/uploads/13932074" target="_blank" rel="noopener noreferrer">LC_pv_40hlp_2013.nc</a> is the example of organized processed R-CESM (pvsf_prho_*.nc files) containing potential vorticity and relative vorticity for figures plotting</p> <ul> <li>https://journals.ametsoc.org/view/journals/bams/102/9/BAMS-D-20-0024.1.xml?tab_body=fulltext-display</li> </ul> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Oct 2024View details →
zenodo40/100

Linked collectors and determiners for: Collection and observation of macrofungi from Vakh river basin (Western Siberia).

Natural history specimen data linked to collectors and determiners held within, "Collection and observation of macrofungi from Vakh river basin (Western Siberia)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/9a343474-037b-43c3-ba7e-1ae3622c2908">https://bionomia.net/dataset/9a343474-037b-43c3-ba7e-1ae3622c2908</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/9a343474-037b-43c3-ba7e-1ae3622c2908">https://gbif.org/dataset/9a343474-037b-43c3-ba7e-1ae3622c2908</a>. Formatted as a Frictionless Data package.

opencc-zeroJan 2024View details →
zenodo40/100

Linked collectors and determiners for: Centralisation des observations floristiques - Observations floristiques floutées issues de la base de données flore du Conservatoire botanique national alpin.

Natural history specimen data linked to collectors and determiners held within, "Centralisation des observations floristiques - Observations floristiques floutées issues de la base de données flore du Conservatoire botanique national alpin". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/4ebe5835-851f-43fd-beed-afade357bfc7">https://bionomia.net/dataset/4ebe5835-851f-43fd-beed-afade357bfc7</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/4ebe5835-851f-43fd-beed-afade357bfc7">https://gbif.org/dataset/4ebe5835-851f-43fd-beed-afade357bfc7</a>. Formatted as a Frictionless Data package.

opencc-zeroJan 2024View details →

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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.

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

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.

abode-home-cage
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

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

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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