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Figure 1 from: Ávila MP, Carvalho RN, Casatti L, Simião-Ferreira J, de Morais LF, Teresa FB (2018) Metrics derived from fish assemblages as indicators of environmental degradation in Cerrado streams. Zoologia 35: 1-8. https://doi.org/10.3897/zoologia.35.e12895
Figure 1 Map of South America highlighting the Goiás State (Brazil) and the sampling sites located in the Santa Tereza sub-basin, Upper Tocantins River basin.
Application of adipose-derived stem cells combined with platelet-rich plasma in a rat rotator cuff repair model
<p>A controlled experimental study conducted on 48 Sprague-Dawley rats. The supraspinatus tendon was sectioned and repaired and was randomly allocated to two groups: application of PRP alone or PRP and ASCs. Biomechanical and histological analysis was performed at 3 days, 1, 2 and 4 weeks. <br> Results: There were no statistically significant differences in the biomechanical study. In the PRP group, load to failure at two weeks was 3.89 N ± 0.99 and in the ASCs group was 7.87 N ± 2.18 (p=0.05). Histological examination showed an increase in the presence of vessels at one and four weeks in the ASCs group (p=0.047). Collagen fibers were present in 25% of the repaired tissue in the ASCs group at one week and absent in the PRP group (p=0.047). Maximum differences in collagen concentration occurred at two weeks in favor of the ASCs group (p=0.059).<br> Conclusion: The use of ASCs does not improve the biomechanical properties of the repair. However, increased vascularity and collagen fibers type I were promising findings in the group treated with ASC.</p>
FIGURE 1. Hydrochus spanglerorum n in Hydrochus spanglerorum n. sp., a remarkable, highly derived species from Brazil Guyana, and Suriname (Coleoptera: Hydrochidae)
FIGURE 1. Hydrochus spanglerorum n. sp., dorsal, lateral and ventral habitus of holotype.
Fig. 3 in Sarcocystis falcatula-like derived from opossum in Northeastern Brazil: In vitro propagation in avian cells, molecular characterization and bioassay in birds
Fig. 3. Dendograms on SAG2, SAG3 and SAG4 genotypes from Sarcocystis spp. that use Brazilian Didelphis spp. as definitive hosts, as proposed by Monteiro et al. (2013) and Valadas et al. (2016). Arrows 1 to 7 correspond to Sarcocystis spp. genotypes derived from budgerigars that were experimentally infected with Didelphis spp. sporocysts (Cesar et al., 2018; Gondim et al., 2017). Arrow 8 identifies a genotype of S. falcatula isolated from a naturally infected bare-faced ibis (Phimosus infuscatus) (Konradt et al., 2017). Arrow 9 represents the current genotype (Sarco-BA1) and those observed in Magellanic penguins (Acosta et al., 2018). SN138 (Lindsay et al., 2004) and SF1 (Marsh et al., 1997) are reference strains of Sarcocystis neurona and Sarcocystis falcatula, respectively. Alleles in shaded boxes correspond to genotypes identified in opossums-derived sporocysts that have not been associated with S. falcatula so far.
Text-fig. 2. "Site screen" scheme of complete results of the IPR-vegetation analysis derived from the database. in The Integrated Plant Record Vegetation Analysis: Internet Platform And Online Application
Text-fig. 2. "Site screen" scheme of complete results of the IPR-vegetation analysis derived from the database.
Figure 1 in The first record of the highly derived genus Oligoneurus Szépligeti, 1902 (Hymenoptera, Braconidae, Ichneutinae, Muesebeckiini) from Eocene Danish amber with description of a new species
Figure 1. Oligoneurus eocenus sp. nov. (holotype, female, Danish amber, NHMD # 115543, photos). A, habitus, lateral view. B, Wings.
Global oceanic PON concentration products derived from Aqua-MODIS through a Gaussian Process Regression model
<p><span>This dataset integrates the monthly PON concentration products from 2002 to 2022 of the global ocean, which were derived from Aqua-MODIS based on our newly developed Gaussian Process Regression models.</span></p>
Fig. 10 in New material of a derived ornithomimosaur from the Upper Cretaceous Nemegt Formation of Mongolia
Fig. 10. Metacarpal bones of three ornithomimid taxa shown in articulation. A. Anserimimus planinychus (Upper Cretaceous Nemegt Formation; after Kobayashi and Barsbold 2006; drawing flipped horizontally). B. Ornithomimus edmontonicus (Upper Cretaceous Horseshoe Canyon Formation; after Parks 1933). C. ZPAL MgD−I/65 (Upper Cretaceous Nemegt Formation; this paper). Abbreviation: Mtc, metacarpal.
Fig. 3 in Microstructural Impact of Ischemia and Bone Marrow-Derived Cell Therapy Revealed With Diffusion Tensor Magnetic Resonance Imaging Tractography of the Heart In Vivo
Fig. 3. Amblyomma variegatum female before engorgement
Antiangiogenic activity of 4 – chloro phenyl carbothioamide derivatives
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Mechanochemically-derived Fe atoms on defective boron nitride for stable propylene production
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Database of ionospheric rate of TEC change index (ROTI) map derived from Indonesian GNSS receiver network
<blockquote> <p><strong>USERS CAN ALSO ACCESS THE ROTI MAPS IN THIS DATABASE LINK:</strong></p> <p><strong>https://gatotkaca.brin.go.id/petaionosfer/</strong></p> </blockquote> <p> </p> <p><strong>Introduction</strong></p> <p>Indonesia, located near the magnetic equator in Southeast and East Asia, is essential for studying ionospheric phenomena, particularly equatorial plasma bubbles (EPBs). The Indonesian Geospatial Information Agency (BIG) has deployed a network of Global Navigation Satellite System (GNSS) receivers as part of the Indonesia Continuously Operating Reference Stations (Ina-CORS) across this country. This network has enabled the creation of detailed ionospheric irregularities maps based on the Rate of Total Electron Content (TEC) Change Index (ROTI). These maps are crucial for understanding EPBs in Southeast and East Asia.</p> <p><strong>GNSS network and ROTI map generation</strong></p> <p>The Ina-CORS consists of over 300 GNSS receivers strategically placed across Indonesia (see attached figure "geographic map_receivers.jpg"), spanning from 95°E to 140°E and from 5°N to 10°S. These receivers continuously gather GNSS observable data with a time resolution of 30 seconds in a Receiver Independent Exchange (RINEX) file. This data is then processed to generate the ROTI maps from the magnetic equator to the southern low-latitude region in Southeast/East Asia.</p> <p>The GNSS data in the RINEX file is processed to calculate the Total Electron Content (TEC) using the open software developed by Seemala (2023). The software can be found at https://seemala.blogspot.com/2020/12/gps-tec-program-version-3-for-rinex-3.html. ROTI is derived by measuring the standard deviation of the rate of change of TEC over a 5-minute interval (Pi et al., 1997). This index is a critical indicator of ionospheric irregularities with kilometers of spatial scales inside the EPBs.<br>Using ROTI data plotted at the Ionospheric Pierce Point (IPP) altitude of 350 km, 2-dimensional (2D) latitude-longitude ROTI maps are generated. The grid size of the ROTI map is 0.25° × 0.25°. The ROTI map is smoothed by a boxcar average of 5 × 5 grid data regarding geographic latitude and longitude. In the map, sunset and sunrise terminators at altitudes of 110 km (red curve), 350 km (green curve), and 650 km (black curve) are plotted. The ROTI map is generated at each interval of 10 minutes from 9:00 to 23:50 UT. The name file of the zipped map in one day indicates the year and day of the year. For example, s_2024122_map.rar indicates the maps on day 122 in 2024.</p> <p><strong>Purpose</strong></p> <p>Sharing GNSS data in RINEX files from the CORS could be strictly limited. Sharing the ROTI map derived from the CORS of Southeast Asian countries can be an alternative solution. This database aims to store the ROTI maps over Indonesia derived from GNSS data of the Ina-CORS network. The ROTI map database is also freely accessible and can be used for educational and scientific purposes. It is an academic/scientific resource and promotes a deeper understanding of EPB phenomena and their impact on navigation and communication systems. This database enables continuous monitoring and analysis of ionospheric conditions, particularly EPB occurrence. The database supports scientific research, enhances GNSS applications, and contributes to space weather forecasting by providing a high-resolution ROTI map. This ROTI map database has been developed to encourage research collaboration between researchers globally and in Indonesia.</p> <p><strong>Attribution</strong></p> <p>Users must appropriately credit the data source in this database in any publications, presentations, or products derived from it. When using the ROTI maps in this database, please cite the database. The users acknowledge the Indonesian Geospatial Information Agency (Badan Informasi Geospasial, BIG) for providing the GNSS data to make the ROTI map. Users are also encouraged to collaborate with ionospheric researchers in Indonesia.</p> <p><strong>References</strong></p> <p>Gopi K. Seemala (2023), Chapter 4 - Estimation of ionospheric total electron content (TEC) from GNSS observations, Editor(s): A.K. Singh, S. Tiwari, In Earth Observation, Atmospheric Remote Sensing, Elsevier, 2023, Pages 63 - 84, doi.org/10.1016/B978-0-323-99262-6.00022-5.</p> <p>Pi, X., Mannucci, A. J., Lindqwister, U. J., and Ho, C. M. (1997), Monitoring of global ionospheric irregularities using the worldwide GPS network, Geophys. Res. Lett., 24, 2283–2286.</p> <p> </p> <p><strong>More Information</strong><br>Feel free to reach out via email for more information. Your feedback is invaluable to us, and we encourage users to share their experiences and suggestions for research ideas and further improvements.<br>Correspondence: P. Abadi, Dr.; Researcher at Research Center for Climate and Atmosphere, BRIN; email: pray001[at]brin.go.id (replace "[at]" with "@").</p> <p> </p> <p> </p>
Supplementary material: Design and construction of geologic analog models derived from the analysis of planetary surfaces
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Concern Deviation: Advancing Cohesion Estimation with LLM-Derived Embeddings
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North Atlantic EXtratropical CYCLONE TRAcks and Lagrangian-Derived MOisture Uptake Dataset: ExCyclone-TRAMO (Part III)
<h3>Abstract:</h3> <p>This dataset focuses on <strong>extratropical cyclones (ETCs)</strong> over the <strong>North Atlantic Ocean (NATL)</strong> during the extended winter seasons, spanning from October to April, between 1985 and 2022. The relationship between moisture uptake and precipitation in various mesoscale ETC structures remains an active research area. The provision of moisture parameters through <strong>tracer dispersion models</strong> enhances our understanding of moisture dynamics, the behaviour of ETCs, and the associated meteorological fields.</p> <h3>Description:</h3> <p>The dataset was constructed through <strong>dynamic downscaling</strong> of ERA5 reanalysis data using the Weather Research and Forecasting (WRF) model, in conjunction with the <strong>Lagrangian dispersion model FELXPART-WRF</strong>. It consists of <strong>6-hourly </strong>time intervals with a horizontal resolution of <strong>0.18°</strong>. This database is completely described in <em>Coll-Hidalgo, P., Gimeno-Sotelo, L., Fernández-Alvarez, J.C. et al. North Atlantic Extratropical Cyclone Tracks and Lagrangian-Derived Moisture Uptake Dataset. Sci Data 11, 1258 (2024). <a href="https://doi.org/10.1038/s41597-024-04091-5" target="_blank" rel="noopener">https://doi.org/10.1038/s41597-024-04091-5</a></em></p> <p>The dataset includes:</p> <ul> <li>Detailed tracking of ETCs across the North Atlantic: <ul> <li>Date in year-month-day format</li> <li>hh (in UTC): Hour in Coordinated Universal Time</li> <li>latitude (degrees north): Latitude in degrees north</li> <li>longitude (degrees west): Longitude in degrees west</li> <li>MSLP (hPa): Mean sea level pressure in hectopascals (hPa)</li> <li>Radius (km): Cyclone radius in kilometres (km)</li> <li>Last closed isobar (hPa): Pressure at the last closed isobar in hectopascals (hPa)</li> <li>Low-level thermal wind parameter (VTL)</li> <li>High-level thermal wind parameter (VTU)</li> <li>The thermal asymmetry parameter (B)</li> </ul> </li> </ul> <ul> <li>Two-Dimensional Masks Shaping ETCs: <ul> <li>Radius</li> <li>Warm Conveyor Belt (WCB) footprint Related Areas</li> <li>A theoretical boundary encompassing a broader extent of the ETC circulation within a spiral shape </li> </ul> </li> </ul> <ul> <li>Cyclone Moisture Uptake-Related Variables by ETCs life timesteps: <ul> <li>Total moisture uptake</li> <li>Discrete Moisture Uptake (10-Day Backward)</li> <li>Moisture uptake by layers from the surface to 100 hPa.</li> </ul> </li> </ul> <h3>Dataset Repository Information</h3> <p>This repository contains the dataset for the years 1985-1999. For users interested in datasets from subsequent periods, please refer to the following links:</p> <p>Years 1985-1999: <a href="https://zenodo.org/records/13844378" target="_blank" rel="noopener">Access the dataset here</a><br>Years 2000-2014: <a href="https://zenodo.org/records/13844450" target="_blank" rel="noopener">Access the dataset here</a></p> <p>A <a href="https://github.com/ECMOISTDATABASE/North-Atlantic-Extratropical-Cyclones-database.git">GitHub repository</a> is available, providing example code that demonstrates how to use and handle the dataset effectively. </p>
TABLE 3. Character state matrix derived from Table 1 in A description of Promanodes serafini gen. et sp. nov. from Baltic amber, with a review of related New Zealand Promanus Sharp, 1877 (Coleoptera: Trogossitidae)
<p><b>TABLE 3.</b> Character state matrix derived from Table 1.</p><table><tbody><tr><th>Taxon/Character</th><th>0 12345</th></tr></tbody><tbody><tr><th><i>Lophocateres</i></th><td>0 0 0 100</td></tr><tr><th><i>Grynocharis</i></th><td>200101</td></tr><tr><th><i>Promanus</i></th><td>101011</td></tr><tr><th><i>Promanodes</i></th><td>0 11011</td></tr></tbody></table>
Genomic and single-cell characterization of patient-derived tumor organoid models of head and neck squamous cell carcinoma
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Table 5 in The grass root endophytic fungus Flavomyces fulophazii: An abundant source of tetramic acid and chlorinated azaphilone derivatives
<p><b>Table 5</b> NMR data of flavochlorine A (compound <b>7</b>) and flavochlorine G (compound <b>10</b>) in methanol- <i>d</i> 4.</p><table><tbody><tr><th>No. a</th><th>flavochlorine A</th><th></th><th>flavochlorine G</th><th></th></tr></tbody><tbody><tr><th></th><td><i>δ</i> H</td><td><i>δ</i> C</td><td><i>δ</i> H</td><td><i>δ</i> C</td></tr><tr><th>1</th><td>8.795, <i>s,</i> 1H</td><td>140.8</td><td>8.80, s, 1H</td><td>141.3</td></tr><tr><th>3</th><td>–</td><td>147.5</td><td>–</td><td>145.9</td></tr><tr><th>4</th><td>7.51, <i>s</i>, 1H</td><td>114.0</td><td>7.49, s, 1H</td><td>115.2</td></tr><tr><th>4a</th><td>–</td><td>146.9</td><td></td><td>146.9</td></tr><tr><th>5</th><td>–</td><td>106.8</td><td></td><td>106.7</td></tr><tr><th>6</th><td>–</td><td>174.8</td><td></td><td>174.6</td></tr><tr><th>7</th><td>6.44, <i>s,</i> 1H</td><td>106.6</td><td>6.45, s, 1H</td><td>106.0</td></tr><tr><th>8</th><td>–</td><td>157.9</td><td>–</td><td>158.4</td></tr><tr><th>8a</th><td>–</td><td>107.1</td><td>–</td><td>107.8</td></tr><tr><th>9</th><td>2.95, <i>t</i>, (7.9), 2H</td><td>35.3</td><td>2.90, t (7.6), 2H</td><td>33.62</td></tr><tr><th>10</th><td>1.80, <i>m</i>, 2H</td><td>22.8</td><td>1.80, m, 2H</td><td>21.95</td></tr><tr><th>11</th><td>1.11, <i>t</i>, (7.4), 3H</td><td>13.6</td><td>1.10, t, (6.9), 3H</td><td>12.90</td></tr><tr><th>1′</th><td>4.43, <i>t</i>, (5.0), 2H</td><td>57.5</td><td>4.32, t (7,3), 1H</td><td>54.49</td></tr><tr><th>2′</th><td>3.91, <i>t</i>, (5.0), 2H</td><td>61.6</td><td>2.24, m, 2H</td><td>34.22</td></tr><tr><th>3′</th><td>–</td><td>–</td><td>3.25, m, 2H</td><td>48.21</td></tr><tr><th>4′</th><td>–</td><td>–</td><td>1.31, d, (7.0), 3H</td><td>20.97</td></tr><tr><th>5′</th><td></td><td></td><td>–</td><td>176.3</td></tr><tr><th>O–Me</th><td>3.96, <i>s,</i> 3H</td><td>56.4</td><td>3.95, s, 3H</td><td>55.46</td></tr></tbody></table><p><sup>a</sup> Corresponding numbered molecular structures are found in Fig. 3.</p>
Table 2 in The grass root endophytic fungus Flavomyces fulophazii: An abundant source of tetramic acid and chlorinated azaphilone derivatives
<p><b>Table 2</b> High resolution mass-spectral (positive ion mode) data for compounds detected in Flavomyces fulophazii culture extracts.</p><table><tbody><tr><th>Compound</th><th></th><th>Formula</th><th>Detected ion</th><th>Detected formula</th><th>Calculated <i>m/z</i></th><th>Found <i>m/z</i></th><th>diff (ppm)</th></tr></tbody><tbody><tr><th>No. a</th><td>Name</td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><th>1</th><td>10,11-dihydroxy-vermelhotin</td><td>C12H13O5N</td><td>[M+H]+</td><td>C12H14O5N</td><td>252.0866</td><td>252.0865</td><td>0.472</td></tr><tr><th></th><td></td><td></td><td>[M+Na]+</td><td>C12H13O5NNa</td><td>274.0686</td><td>274.0684</td><td>0.853</td></tr><tr><th>2</th><td>11-hydroxy-vermelhotin</td><td>C12H13O4N</td><td>[M+H]+</td><td>C12H14O4N</td><td>236.0917</td><td>236.0915</td><td>0.908</td></tr><tr><th></th><td></td><td></td><td>[M+Na]+</td><td>C12H13O4NNa</td><td>258.0737</td><td>258.0735</td><td>0.500</td></tr><tr><th>3</th><td>11-oxo-vermelhotin</td><td>C12H11O4N</td><td>[M+H]+</td><td>C12H12O4N</td><td>234.0761</td><td>234.0758</td><td>1.129</td></tr><tr><th></th><td></td><td></td><td>[M+Na]+</td><td>C12H11O4NNa</td><td>256.0580</td><td>256.0577</td><td>1.363</td></tr><tr><th>4</th><td>11-methoxy-vermelhotin</td><td>C13H15O4N</td><td>[M+H]+</td><td>C13H16O4N</td><td>250.1074</td><td>250.1072</td><td>0.698</td></tr><tr><th></th><td></td><td></td><td>[M+Na]+</td><td>C13H15O4NNa</td><td>272.0893</td><td>272.0890</td><td>1.136</td></tr><tr><th>5</th><td>vermelhotin</td><td>C12H11O3N</td><td>[M+H]+</td><td>C12H12O3N</td><td>218.0812</td><td>218.0809</td><td>1.145</td></tr><tr><th></th><td></td><td></td><td>[M+Na]+</td><td>C12H11O3NNa</td><td>240.0631</td><td>240.0628</td><td>1.351</td></tr><tr><th>6a</th><td>flavochlorine E</td><td>C16H18O5NCl</td><td>[M+H]+</td><td>C H O NCl35 16 19 5</td><td>340.0946</td><td>340.0944</td><td>0.785</td></tr><tr><th></th><td></td><td></td><td>[M + H+2]+</td><td>C H O NCl37 16 19 5</td><td>342.0917</td><td>342.0912</td><td>1.335</td></tr><tr><th>6b</th><td>flavochlorine F</td><td>C16H18O5NCl</td><td>[M+H]+</td><td>C H O NCl35 16 19 5</td><td>340.0946</td><td>340.0944</td><td>0.696</td></tr><tr><th></th><td></td><td></td><td>[M + H+2]+</td><td>C H O NCl37 16 19 5</td><td>342.0917</td><td>342.0913</td><td>1.160</td></tr><tr><th>7</th><td>flavochlorine A</td><td>C15H18O3NCl</td><td>[M+H]+</td><td>C H O NCl35 15 19 3</td><td>296.1048</td><td>296.1045</td><td>1.039</td></tr><tr><th></th><td></td><td></td><td>[M + H+2]+</td><td>C H O NCl37 15 19 3</td><td>298.1018</td><td>298.1016</td><td>0.763</td></tr><tr><th>8</th><td>flavochlorine B</td><td>C13H14O2NCl</td><td>[M+H]+</td><td>C H O NCl35 13 15 2</td><td>252.0786</td><td>252.0783</td><td>1.162</td></tr><tr><th></th><td></td><td></td><td>[M + H+2]+</td><td>C H O NCl37 13 15 2</td><td>254.0756</td><td>254.0753</td><td>1.310</td></tr><tr><th>9</th><td>flavochlorine C</td><td>C16H20O3NCl</td><td>[M+H]+</td><td>C H O NCl35 16 21 3</td><td>310.1204</td><td>310.1202</td><td>0.863</td></tr><tr><th></th><td></td><td></td><td>[M + H+2]+</td><td>C H O NCl37 16 21 3</td><td>312.1175</td><td>312.1171</td><td>1.178</td></tr><tr><th>10</th><td>flavochlorine G</td><td>C18H22O4NCl</td><td>[M+H]+</td><td>C H O NCl35 18 23 4</td><td>352.1310</td><td>352.1307</td><td>0.859</td></tr><tr><th></th><td></td><td></td><td>[M + H+2]+</td><td>C H O NCl37 18 23 4</td><td>354.1281</td><td>354.1276</td><td>1.418</td></tr><tr><th>11</th><td>flavochlorine D</td><td>C13H13O3Cl</td><td>[M+H]+</td><td>C H O Cl35 13 14 3</td><td>253.0626</td><td>253.0622</td><td>1.417</td></tr><tr><th></th><td></td><td></td><td>[M + H+2]+</td><td>C H O Cl37 13 14 3</td><td>255.0596</td><td>255.0593</td><td>1.444</td></tr></tbody></table><p><sup>a</sup> Numbers of compounds correspond to those in Figs. 2 and 3.</p>
Table 6 in The grass root endophytic fungus Flavomyces fulophazii: An abundant source of tetramic acid and chlorinated azaphilone derivatives
<p><b>Table 6</b> Antiproliferative activity of vermelhotin, hydroxyvermelhotin and flavochlorine A isolated from <i>Flavomyces fulophazii</i> culture extracts.</p><table><tbody><tr><th>Cell line</th><th>Antiproliferative activity (IC50, μM)</th><th></th><th></th></tr></tbody><tbody><tr><th></th><td>vermelhotin</td><td>hydroxy-</td><td>flavochlorine</td><td>reference a</td></tr><tr><th></th><td></td><td>vermelhotin</td><td>A</td><td>Dau</td><td>Sal</td></tr><tr><th>A2058</th><td>12.1</td><td><i>></i> 100</td><td>67.9</td><td>0.3 1</td><td></td></tr><tr><th>HepG2</th><td>10.1</td><td><i>></i> 100</td><td><i>></i> 100</td><td>1.2 2</td><td>5.8 3</td></tr><tr><th>A431</th><td>19.9</td><td><i>></i> 100</td><td><i>></i> 100</td><td>0.7</td><td></td></tr><tr><th>U87</th><td>28.6</td><td><i>></i> 100</td><td><i>></i> 100</td><td>0.4 2</td><td>0.8</td></tr><tr><th>EBC-1</th><td>20.0</td><td><i>></i> 100</td><td><i>></i> 100</td><td>1.2</td><td></td></tr><tr><th>SH-SY5Y</th><td>12.9</td><td><i>></i> 100</td><td><i>></i> 100</td><td>0.7</td><td></td></tr><tr><th>HT-29</th><td>31.4</td><td><i>></i> 100</td><td><i>></i> 100</td><td>0.2 4</td><td></td></tr><tr><th>HL-60</th><td>9.4</td><td><i>></i> 100</td><td><i>></i> 100</td><td>0.02 5</td><td></td></tr><tr><th>MonoMac-</th><td>17.1</td><td><i>></i> 100</td><td><i>></i> 100</td><td>0.6</td><td>2.2 3</td></tr><tr><th>6</th><td></td><td></td><td></td><td></td><td></td></tr><tr><th>LCLC-</th><td>37.0</td><td><i>></i> 100</td><td><i>></i> 100</td><td>8.6</td><td></td></tr><tr><th>103H</th><td></td><td></td><td></td><td></td><td></td></tr><tr><th>HEK-293</th><td>21.6</td><td><i>></i> 100</td><td><i>></i> 100</td><td>no</td><td></td></tr><tr><th></th><td></td><td></td><td></td><td>data</td><td></td></tr><tr><th>H838</th><td>22.1</td><td><i>></i> 100</td><td><i>></i> 100</td><td>10.2</td><td></td></tr><tr><th>VERO</th><td><i>></i> 100</td><td><i>></i> 100</td><td><i>></i> 100</td><td>no</td><td></td></tr><tr><th></th><td></td><td></td><td></td><td>data</td><td></td></tr></tbody></table>
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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.