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Splicing patterns of the Arabidopsis organellar rhomboid At1g74140 - Table S1 for primers used in the RT-PCR assays
<p>Extended Data for the publication: "Analysis of the <em>Arabidopsis</em> organellar rhomboid At1g74140 transcript population uncovered splicing patterns different from its close relative At1g74130"</p> <p>Supplementary Table S1 - List of At1g74140 primers used in the different RT-PCR assays. </p>
Text-fig. 2. Normapolles range according to Krutzsch table in Góczán et al. 1967. in Tracing Of Palynomorphs In The Eastern Slovakian Karst
Text-fig. 2. Normapolles range according to Krutzsch table in Góczán et al. 1967.
Text-fig. 1 Ranges of the revised taxa from Cambrian to Devonian; also indicated in table 1. in Morphologic Variability In Lower Palaeozoic Acritarchs: Importance For Acritarch Systematics
Text-fig. 1 Ranges of the revised taxa from Cambrian to Devonian; also indicated in table 1.
Reporter CRISPR screens decipher cis- and trans-regulatory principles at the Xist locus [Extra tables + files]
<p>This zenodo contains extra files and tables necessary to run code specified in https://github.com/EddaSchulz/TFiScreen_Paper/.</p> <p>These files are associated with analysis in Schwämmle et al., 2025.</p>
Fig. 4 in Predation functional response and life table parameters of Orius sauteri (Hemiptera: Anthocoridae) feeding on Megalurothrips usitatus (Thysanoptera: Thripidae)
Fig. 4. Age-stage survival rate (sxj) of Orius sauteri on Megalurothrips usitatus at 26 °C.
An attached table for "The Correlation between Dip Width and Peak Flux in Cir X-1"
<p>This is an attached table for "The Correlation between Dip Width and Peak Flux in Cir X-1".<br>The table introduces derived phases from Bayesian blocks technique and peak fluxes in Cir X-1.</p> <p>orbit: the orbits of Cir X-1 in Nicolson(2007)'s ephemeris<br>dip_in,dip_in_err,dip_out,dip_out_err: the dip-in/out phases and errors<br>dip_width,dip_width_err: the dip width and its error in every orbit<br>peak_flux,peak_flux_err: the peak flux and its error in every orbit, which are in units of Crab</p>
Supplementary Tables for "A 3.3-Million-Year Record of Antarctic Iceberg Rafted Debris and Ice Sheet Evolution Quantified by Machine Learning"
<p>Supplementary Tables for "A 3.3-Million-Year Record of Antarctic Iceberg Rafted Debris and Ice Sheet Evolution Quantified by Machine Learning"</p> <p> </p> <p><strong>Table Captions:</strong></p> <p><strong>Table S1.</strong> Site U1537 Age Model Tie Points from Weber et al. (2022) and Reilly et al. (2021)</p> <p><strong>Table S2. </strong>Site U1537 Age Model used in this study, applying both the age tie points from Weber et al. (2022) and Reilly et al. (2021)</p> <p><strong>Table S3. </strong>Hole U1538A correlation to the Dove Basin Stack from Bailey et al. (2022), and the addition of the U1538 splice CCSF-A depth to the Dove Basin CCSF-A</p> <p><strong>Table S4. </strong>Site U1538 splice table used in this study, note the continuation down Hole A after Core 14H</p> <p><strong>Table S5. </strong>New top core section offsets for Site U1536 cores added to the Reilly et al. (2021) extended splice table</p> <p><strong>Table S6. </strong>New top core section offsets for Site U1537 cores added to Reilly et al. (2021) extended splice table</p> <p><strong>Table S7. </strong>Comparison of Convolutional Neural Network IRD counts to shipboard eye counts of IRD at Site U1536</p> <p><strong>Table S8. </strong>Site U1537 CNN IRD Counts per 50 cm bins</p> <p><strong>Table S9. </strong>Site U1536 IRD Fluxes Per 5 kyr Quantified by a Convolutional Neural Network (0-3.3 Ma)</p> <p><strong>Table S10. </strong>Site U1537 IRD Fluxes Per 5 kyr Quantified by a Convolutional Neural Network (0-3.3 Ma)</p> <p><strong>Table S11. </strong>Site U1536 IRD Fluxes Per 1 kyr Quantified by a Convolutional Neural Network (0-1.2 Ma)</p> <p><strong>Table S12. </strong>Site U1537 IRD Fluxes Per 1 kyr Quantified by a Convolutional Neural Network (0-1.2 Ma)</p> <p><strong>Table S13. </strong>Site U1538 IRD Fluxes Per 1 kyr Quantified by a Convolutional Neural Network (0-1.2 Ma)</p>
Table S1: Records of bramble shark sightings on 16 December, 2023, offshore of Fujairah, UAE, in the Gulf of Oman. Time is provided in Zulu time (GMT), not in local time. Vessels where sightings occurred are labeled as remotely operated vessels (ROV: Chimera) or human-driven submersibles (Sub: Neptune and Nadir).; Video S1: Video footage of a bramble shark (Echinorhinus brucus) encounter with a submersible at 780 m depth offshore from Fujairah, United Arab Emirates.
<p><span>Table S1: Records of bramble shark sightings on 16 December, 2023, offshore of Fujairah, UAE, in the Gulf of Oman. Time is provided in Zulu time (GMT), not in local time. Vessels where sightings occurred are labeled as remotely operated vessels (ROV: Chimera) or human-driven submersibles (Sub: Neptune and Nadir).</span></p> <p><span>Video S1: Video footage of a bramble shark (<em>Echinorhinus brucus</em>) encounter with a submersible at 780 m depth offshore from Fujairah, United Arab Emirates.</span></p>
Data table 5 from publication "Impaired interactions of ataxin-3 with protein complexes reveals their specific structure and functions in SCA3 Ki150 model" (doi.org/10.3389/fnmol.2023.1122308)
<div>An Excel table contains a list of proteins identified by MS from pull-down experiment using cerebellar cortex lysates with Dynabeads coated with anti-ataxin-3 1H9 mouse monoclonal antibodies. The false positive interactor proteins were excluded from this list by subtracting proteins found in "Supplementary_table 2_cortex isogenic mouse IgG control dynabeads.xlsx" </div> <div> </div>
Data table 4 from publication "Impaired interactions of ataxin-3 with protein complexes reveals their specific structure and functions in SCA3 Ki150 model" (doi.org/10.3389/fnmol.2023.1122308)
<div>An Excel table contains a list of proteins identified by MS from a pull-down experiment using cerebellum lysates with Dynabeads coated with anti-ataxin-3 1H9 mouse monoclonal antibodies. The false positive interactor proteins were excluded from this list by subtracting proteins found in "Supplementary_table 3_cerebellum isogenic mouse IgG control dynabeads.xlsx<span><br></span></div>
Data table 2 from publication "Impaired interactions of ataxin-3 with protein complexes reveals their specific structure and functions in SCA3 Ki150 model" (doi.org/10.3389/fnmol.2023.1122308)
<p>An excel table containing a list of proteins identified by MS from samples after a pull-down experiment using cerebral cortex lysates with Dyna beads coated with control isogenic mouse IgG. The proteins from the list were considered false positive interactors of ataxin-3 in the cortex.</p>
Data table 1 from publication "Impaired interactions of ataxin-3 with protein complexes reveals their specific structure and functions in SCA3 Ki150 model" (doi.org/10.3389/fnmol.2023.1122308)
<p>An excel table contains LFQ intensity and other raw MS data for proteins identified in fractions 3,4,5 (i), 11, 12, 13, (ii) 18, 19, and 20 (iii) from ki150 and ki21 model brains. These fractions showed enrichment in ATXN3 protein. The fractions are visualized in Figure 4 (<a href="http://doi.org/10.3389/fnmol.2023.1122308" target="_blank" rel="noopener">doi.org/10.3389/fnmol.2023.1122308</a>)</p>
Sample metadata and supplementary tables for "Genomics identifies koala populations at risk across Eastern Australia"
<p>All metadata for the koala genomes deposited on NCBI under BioProject <span>PRJNA940526. Runs of homozygosity size classes and Gene Ontology terms provided as excel files.</span></p>
Compilation of mean monthly water table depth data (2015-2023) and linkages to further published sources of water table data, from European peatlands
<p>This dataset (WH_D1_4_meanmonthly.csv) contains mean monthly water table depth data for 211 point locations, for which the data were originally captured at a higher temporal resolution and were additionally clipped to the temporal window (2015 onwards) of the available Earth Observations in the Sentinel-1 and Sentinel-2 archive. Links to higher resolution/longer time series of these source data, where these are already in the public domain, have been identified in the data submission in case future data users require more detailed water table datasets.Information on site co-ordinates, data period, condition class, and other details, are provided in the associated metadata file (WH_D1_4_metadata.csv). Further links to 165 additional water table dynamics data have been provided for future users, but were not summarised as monthly means in this data submission in case the source data are updated in future. Please refer to the README file for methodological details and important disclaimers.</p>
Table 5 in Harbor seal pup dispersal and individual morphology, hematology, and contaminant factors affecting survival
<p><i>Table 5.</i> Model selection of apparent survival probability (Phi) for model set 3: morphology and sex.</p><table><tbody><tr><th></th><th></th><th></th><th>QAICc</th><th>Model</th><th>No.</th><th></th></tr></tbody><tbody><tr><th>Model</th><td>QAICc ΔQAICc weights likelihood parameters Deviance</td></tr><tr><th><b>{</b><i>Φ</i> <b>(<i>g</i> + length)} 219.90</b></th><td><b>0.000</b></td><td><b>0.191</b></td><td><b>1.000</b></td><td><b>4</b></td><td><b>211.810</b></td></tr><tr><th>{<i>Φ</i> (<i>g</i> + mass)}</th><td>220.44</td><td>0.544</td><td>0.145</td><td>0.762</td><td>4</td><td>212.354</td></tr><tr><th>{<i>Φ</i> (<i>g</i> + sex + length)}</th><td>220.46</td><td>0.567</td><td>0.144</td><td>0.753</td><td>5</td><td>210.334</td></tr><tr><th>{<i>Φ</i> (<i>g</i>)}</th><td>220.57</td><td>0.672</td><td>0.136</td><td>0.715</td><td>3</td><td>214.517</td></tr><tr><th>{<i>Φ</i> (<i>g</i> + sex)}</th><td>220.83</td><td>0.935</td><td>0.120</td><td>0.627</td><td>4</td><td>212.745</td></tr><tr><th>{<i>Φ</i> (<i>g</i> + sex + mass)}</th><td>221.16</td><td>1.267</td><td>0.101</td><td>0.531</td><td>5</td><td>211.034</td></tr><tr><th>{<i>Φ</i> (<i>g</i> + bd)}</th><td>222.23</td><td>2.330</td><td>0.060</td><td>0.312</td><td>4</td><td>214.140</td></tr><tr><th>{<i>Φ</i> (<i>g</i> + cond)}</th><td>222.45</td><td>2.557</td><td>0.053</td><td>0.278</td><td>4</td><td>214.368</td></tr><tr><th>{<i>Φ</i> (<i>g</i> + girth)}</th><td>222.56</td><td>2.662</td><td>0.050</td><td>0.264</td><td>4</td><td>214.472</td></tr></tbody></table><p><i>Note: g</i> = group (SF, TB, and TMMC), bd = blubber depth, cond = the body condition index. <i>c ͡</i> adjustment = 1.15. Highest ranked model highlighted in bold.</p>
Table 3 in Harbor seal pup dispersal and individual morphology, hematology, and contaminant factors affecting survival
<p><i>Table 3.</i> Model selection of apparent survival probability (Phi) for model set 1: group and time.</p><table><tbody><tr><th></th><th></th><th></th><th>QAICc</th><th>Model</th><th>No.</th><th></th></tr></tbody><tbody><tr><th>Model</th><td>QAICc</td><td>ΔQAICc</td><td>weights</td><td>likelihood</td><td>parameters</td><td>Deviance</td></tr><tr><th><b>{<i>Φ</i> (<i>g</i>)}</b></th><td><b>222.45</b></td><td><b>0.000</b></td><td><b>0.538</b></td><td><b>1.000</b></td><td><b>3</b></td><td><b>49.658</b></td></tr><tr><th>{<i>Φ</i> (SF and</th><td>222.95</td><td>0.501</td><td>0.419</td><td>0.779</td><td>2</td><td>52.184</td></tr><tr><th>TMMC v TB)}</th><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><th>{<i>Φ</i> (SF and</th><td>227.55</td><td>5.102</td><td>0.042</td><td>0.078</td><td>2</td><td>56.786</td></tr><tr><th>TB v TMMC)}</th><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><th>{<i>Φ</i> (.)}</th><td>233.43</td><td>10.983</td><td>0.002</td><td>0.004</td><td>1</td><td>64.684</td></tr><tr><th>{<i>Φ</i> (<i>t</i>)}</th><td>254.10</td><td>31.655</td><td>0.000</td><td>0.000</td><td>22</td><td>41.095</td></tr><tr><th>{<i>Φ</i> (<i>g × t</i>)}</th><td>320.74</td><td>98.291</td><td>0.000</td><td>0.000</td><td>66</td><td>0.000</td></tr><tr><th>Model</th><td>QAICc</td><td>ΔQAICc</td><td>weights</td><td>likelihood</td><td>parameters</td><td>Deviance</td></tr><tr><th>{<i>Φ</i> (mass)}</th><td>101.79</td><td>0.000</td><td>0.220</td><td>1.000</td><td>2</td><td>97.704</td></tr><tr><th>{<i>Φ</i> (T4)}</th><td>102.08</td><td>0.287</td><td>0.190</td><td>0.866</td><td>2</td><td>97.991</td></tr><tr><th>{<i>Φ</i> (.)}</th><td>102.42</td><td>0.625</td><td>0.161</td><td>0.732</td><td>1</td><td>100.387</td></tr><tr><th>{<i>Φ</i> (change in</th><td>102.80</td><td>1.013</td><td>0.133</td><td>0.603</td><td>2</td><td>98.717</td></tr><tr><th>mass)}</th><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><th>{<i>Φ</i> (days in rehab)}</th><td>103.47</td><td>1.679</td><td>0.095</td><td>0.432</td><td>2</td><td>99.383</td></tr><tr><th>{<i>Φ</i> (admit date)}</th><td>103.73</td><td>1.942</td><td>0.083</td><td>0.379</td><td>2</td><td>99.646</td></tr><tr><th>{<i>Φ</i> (logOH)}</th><td>104.38</td><td>2.593</td><td>0.060</td><td>0.273</td><td>2</td><td>100.297</td></tr><tr><th>{<i>Φ</i> (mass per day)}</th><td>104.46</td><td>2.666</td><td>0.058</td><td>0.264</td><td>2</td><td>100.370</td></tr></tbody></table><p><i>Note: t</i> = time, <i>g</i> = group (SF = San Francisco, TB = Tomales Bay, and TMMC = The Marine Mammal Center). <i>c ͡</i> adjustment = 1.15. Highest ranked model highlighted in bold.</p><p><i>Note</i>: T4 = total thryroxine, adjustment = 1.15.</p>
Table 4 in A comparison of image and observer based aerial surveys of narwhal
<p><i>Table 4.</i> Summary statistics of survey results and narwhal abundance estimates from surveys conducted in Melville Bay, West Greenland from 25 to 30 August 2014. Off-effort sightings by the aerial observers were only included in modeling of the detection function. Strata without narwhal sightings were excluded from this table (<i>i.e.</i>, south and northwest). Abundance estimates are corrected for availability bias with <i>â</i> (0) being 0.257 for the aerial observer sightings and 0.22 for the image sightings. Aerial observer sightings were truncated at 1,300 m. CV values are given in parentheses. Ind. = individuals.</p><table><tbody><tr><th></th><th></th><th></th><th></th><th></th><th>Uncorrected</th><th></th><th></th><th>Abundance</th></tr></tbody><tbody><tr><th></th><td></td><td></td><td>Encounter</td><td>Mean</td><td>density</td><td>Uncorrected</td><td>Uncorrected</td><td>of individuals</td></tr><tr><th>Platform</th><td>Stratum</td><td>Encounter rate (groups/km)</td><td>rate (ind./km)</td><td>group size</td><td>of groups (groups/km2)</td><td>density of ind. (ind./km2)</td><td>abundance of individuals</td><td>corrected for availability bias</td></tr><tr><th>Aerial</th><td>Northeast</td><td>0.032 (0.86)</td><td>0.084 (0.78)</td><td>2.6 (0.20)</td><td>0.046 (0.93)</td><td>0.115 (0.90)</td><td>300.7 (0.89)</td><td>1,171.0 (0.90)</td></tr><tr><th>observers</th><td>Central</td><td>0.068 (0.50)</td><td>0.261(0.53)</td><td>3.8 (0.11)</td><td>0.046 (0.53)</td><td>0.177 (0.52)</td><td>366.5 (0.52)</td><td>1,426.1 (0.53)</td></tr><tr><th></th><td>All strata</td><td>0.053 (0.41)</td><td>0.187(0.44)</td><td>3.5 (0.10)</td><td>0.046 (0.58)</td><td>0.142 (0.50)</td><td>667.2 (0.50)</td><td>2,596.1 (0.51)</td></tr><tr><th>Images</th><td>Northeast</td><td>0.049 (0.94)</td><td>0.105(0.92)</td><td>2.1 (0.91)</td><td>0.049 (0.94)</td><td>0.105 (0.92)</td><td>217.8 (0.92)</td><td>990 (0.93)</td></tr><tr><th></th><td>Central</td><td>0.059 (0.70)</td><td>0.130(0.61)</td><td>2.2 (0.71)</td><td>0.059 (0.70)</td><td>0.130 (0.61)</td><td>340.0 (0.61)</td><td>1,545.5 (0.61)</td></tr><tr><th></th><td>All strata</td><td>0.055 (0.55)</td><td>0.119(0.50)</td><td>2.2 (0.78)</td><td>0.055 (0.55)</td><td>0.119 (0.50)</td><td>557.8 (0.50)</td><td>2,535.5 (0.51)</td></tr></tbody></table>
Table 7 in Harbor seal pup dispersal and individual morphology, hematology, and contaminant factors affecting survival
<p><i>Table 7.</i> Model selection of apparent survival probability (Phi) for model set 5 incorporating top covariates from previous models.</p><table><tbody><tr><th></th><th></th><th></th><th>QAICc</th><th>Model</th><th>No.</th><th></th></tr></tbody><tbody><tr><th>Model</th><td>QAICc</td><td>ΔQAICc</td><td>weights</td><td>likelihood</td><td>parameters</td><td>Deviance</td></tr><tr><th>{<i>Φ</i> (<i>g</i> + T4)}</th><td>248.8571</td><td>0</td><td>0.37137</td><td>1</td><td>4</td><td>240.7709</td></tr><tr><th>{<i>Φ</i> (<i>g</i> + T4 +</th><td>250.1334</td><td>1.2763</td><td>0.19618</td><td>0.5283</td><td>5</td><td>240.0038</td></tr><tr><th>mass)}</th><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><th>{<i>Φ</i> (<i>g</i> + T4 +</th><td>250.298</td><td>1.4409</td><td>0.18068</td><td>0.4865</td><td>5</td><td>240.1684</td></tr><tr><th>logOH)}</th><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><th>{<i>Φ</i> (<i>g</i> + T4 +</th><td>251.8598</td><td>3.0027</td><td>0.08275</td><td>0.2228</td><td>6</td><td>239.678</td></tr><tr><th>mass + logOH)}</th><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><th>{<i>Φ</i> (<i>g</i> + mass)}</th><td>252.2936</td><td>3.4365</td><td>0.06662</td><td>0.1794</td><td>4</td><td>244.2074</td></tr><tr><th>{<i>Φ</i> (<i>g</i>)}</th><td>252.7458</td><td>3.8887</td><td>0.05314</td><td>0.1431</td><td>3</td><td>246.6942</td></tr><tr><th>{<i>Φ</i> (<i>g</i> + mass +</th><td>254.2608</td><td>5.4037</td><td>0.02491</td><td>0.0671</td><td>5</td><td>244.1312</td></tr><tr><th>logOH)}</th><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><th>{<i>Φ</i> (<i>g</i> + logOH)}</th><td>254.3069</td><td>5.4498</td><td>0.02434</td><td>0.0655</td><td>4</td><td>246.2207</td></tr></tbody></table><p><i>Note: g</i> = group (SF, TB, and TMMC), T4 = total thyroxine, OH = PCB+DDT+ PBDE+HCH+CHLD, Phi = survival.</p>
Table 4 in Harbor seal pup dispersal and individual morphology, hematology, and contaminant factors affecting survival
<p><i>Table 4.</i> Model selection of apparent survival probability (Phi) for model set 2: lipid weight contaminant classes.</p><table><tbody><tr><th></th><th></th><th></th><th>QAICc</th><th>Model</th><th>No.</th><th></th></tr></tbody><tbody><tr><th>Model</th><td>QAICc</td><td>ΔQAICc</td><td>weights</td><td>likelihood</td><td>parameters</td><td>Deviance</td></tr><tr><th><b>{<i>Φ</i> (<i>g</i>)}</b></th><td><b>220.57</b></td><td><b>0.000</b></td><td><b>0.226</b></td><td><b>1.000</b></td><td><b>3</b></td><td><b>214.517</b></td></tr><tr><th>{<i>Φ</i> (<i>g</i> + logPBDE)}</th><td>221.04</td><td>0.473</td><td>0.179</td><td>0.789</td><td>4</td><td>212.955</td></tr><tr><th>{<i>Φ</i> (<i>g</i> + logHCH)}</th><td>221.11</td><td>0.544</td><td>0.172</td><td>0.762</td><td>4</td><td>213.026</td></tr><tr><th>{<i>Φ</i> (<i>g</i> + logCHLD)}</th><td>221.67</td><td>1.104</td><td>0.130</td><td>0.576</td><td>4</td><td>213.586</td></tr><tr><th>{<i>Φ</i> (<i>g</i> + logPCB)}</th><td>222.06</td><td>1.491</td><td>0.107</td><td>0.475</td><td>4</td><td>213.973</td></tr><tr><th>{<i>Φ</i> (<i>g ×</i> logHCH)}</th><td>222.25</td><td>1.683</td><td>0.098</td><td>0.431</td><td>6</td><td>210.070</td></tr><tr><th>{<i>Φ</i> (<i>g</i> + logDDT)}</th><td>222.46</td><td>1.894</td><td>0.088</td><td>0.388</td><td>4</td><td>214.376</td></tr></tbody></table><p><i>Note: g</i> = group (SF, TB, and TMMC), PCB = polychlorinated biphenyls, DDT = summed dichlorodiphenyltrichloroethane and its metabolites, PBDE = polybrominated diphenylethers, CHLD = chlordanes, and HCH = hexachlorocyclohexanes. <i>c ͡</i> adjustment = 1.15. Highest ranked model highlighted in bold.</p>
Table 2 in A comparison of image and observer based aerial surveys of narwhal
<p><i>Table 2.</i> Summary of sightings by image analysts and/or aerial observers, with and without truncation at 500 m. Where both aerial observer pairs had the same sighting with different group size or perpendicular distance estimates, an averaged value was used.</p><table><tbody><tr><th></th><th></th><th></th><th>Only</th><th></th><th>Sighted by</th><th>Sighted by</th></tr></tbody><tbody><tr><th></th><td>Sighted by</td><td></td><td>sight by</td><td>Only</td><td>image</td><td>image analyst</td></tr><tr><th></th><td>image</td><td>Sighted by</td><td>image</td><td>sighted by</td><td>analyst</td><td>and/or</td></tr><tr><th></th><td>analyst</td><td>observer</td><td>analyst</td><td>observer</td><td>and observer</td><td>observer</td></tr><tr><th>No truncation</th></tr><tr><th>No. of groups</th><td>62</td><td>63</td><td>34</td><td>35</td><td>28</td><td>97</td></tr><tr><th>No. of animals</th><td>135</td><td>227</td><td>62</td><td>124</td><td>88</td><td>274</td></tr><tr><th>Average group size</th><td>2.2</td><td>3.6</td><td>1.8</td><td>3.5</td><td>3.1</td><td>2.8</td></tr><tr><th>Average distance</th><td>227</td><td>580</td><td>237</td><td>839</td><td>329</td><td>454</td></tr><tr><th>Truncation = 500 m</th><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><th>No. of groups</th><td>62</td><td>36</td><td>34</td><td>8</td><td>28</td><td>70</td></tr><tr><th>No. of animals</th><td>135</td><td>126</td><td>62</td><td>24</td><td>88</td><td>173</td></tr><tr><th>Average group size</th><td>2.2</td><td>3.5</td><td>1.8</td><td>3.0</td><td>3.1</td><td>2.5</td></tr><tr><th>Average distance</th><td>227</td><td>269</td><td>237</td><td>329</td><td>234</td><td>247</td></tr></tbody></table>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.