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Questionnaires answers and data processing for a mixed-presence user study with two wall-sized displays
<p>Questionnaire answers and data processing tabs that was part of a mixed-presence experiment with two wall-sized displays.<br>Was used for a study in Q4 2023. Accompanies a paper.<br>Complements the protocol for that study that can be found at https://zenodo.org/doi/10.5281/zenodo.12663837 and contains answers for the questionnaires that can be found at https://zenodo.org/doi/10.5281/zenodo.12664007</p>
Table 1 in Revision of the enigmatic South African Cryptolaryngini (Coleoptera, Curculionidae), with description of a new genus and twenty-two new species
<p><b>Table 1.</b> List of species and host plant associations of the species of <i>Cryptolarynx</i> Van Schalkwyk, 1966 and <i>Hadrocryptolarynx</i> Haran gen. nov. * = reared from bulbs of host plant; + = sequences available for at least one population of the species.</p><table><tbody><tr><th><b>Genus</b></th><th><b>species</b></th><th><b>Host associations</b></th><th><b>COI</b></th><th><b>EF1</b></th></tr></tbody><tbody><tr><th><i>Cryptolarynx</i></th><td><i>armatus</i> sp. nov.</td><td><i>O. obtusa</i>, <i>O.</i> cf. <i>suteroides</i></td><td></td><td>+</td></tr><tr><td><i>carinatus</i> sp. nov.</td><td><i>O. purpurea</i></td><td>+</td><td>+</td></tr><tr><td><i>cederbergensis</i> sp. nov.</td><td><i>O. obtusa</i></td><td>+</td><td>+</td></tr><tr><td><i>endroedyi</i> sp. nov.</td><td><i>_</i></td><td></td><td></td></tr><tr><td><i>estriatus</i> (Marshall, 1957)</td><td><i>_</i></td><td></td><td></td></tr><tr><td><i>falciformis</i> sp. nov.</td><td><i>_</i></td><td></td><td></td></tr><tr><td><i>hirtulus</i> sp. nov.</td><td><i>O. obtusa *</i></td><td>+</td><td>+</td></tr><tr><td><i>homaroides</i> sp. nov.</td><td><i>_</i></td><td></td><td></td></tr><tr><td><i>luteipennis</i> sp. nov.</td><td><i>Oxalis</i> spp.</td><td>+</td><td>+</td></tr><tr><td><i>marshalli</i> sp. nov.</td><td><i>O. imbricata</i></td><td>+</td><td>+</td></tr><tr><td><i>muellerae</i> sp. nov.</td><td><i>_</i></td><td></td><td></td></tr><tr><td><i>namaquanus</i> sp. nov.</td><td><i>O. obtusa</i></td><td>+</td><td>+</td></tr><tr><td><i>oberlanderi</i> sp. nov.</td><td><i>O. depressa</i></td><td>+</td><td>+</td></tr><tr><td><i>oberprieleri</i> sp. nov.</td><td><i>O. glabra</i></td><td>+</td><td>+</td></tr><tr><td><i>pilipes</i> sp. nov.</td><td><i>_</i></td><td></td><td></td></tr><tr><td><i>pyrophilus</i> sp. nov.</td><td><i>O. pes-capreae</i></td><td>+</td><td>+</td></tr><tr><td><i>robustus</i> sp. nov.</td><td><i>Oxalis</i> spp.</td><td>+</td><td>+</td></tr><tr><td><i>san</i> sp. nov.</td><td><i>O. luteola</i>, <i>O. obtusa</i>, <i>O.</i> cf. <i>hirta</i></td><td>+</td><td>+</td></tr><tr><td></td><td><i>O.</i> cf. <i>luteola</i>, <i>O. obtusa</i>,</td><td></td><td></td></tr><tr><td><i>spinicerus</i> sp. nov.</td><td><i>O.</i> cf. <i>odorata</i></td><td></td><td>+</td></tr><tr><td><i>squamulatus</i> sp. nov.</td><td><i>O. obtusa</i></td><td>+</td><td>+</td></tr><tr><td><i>subglaber</i> sp. nov.</td><td><i>O. lanata</i>, <i>O. purpurea</i>, <i>O. tenuifolia</i></td><td>+</td><td>+</td></tr><tr><td><i>variabilis</i> sp. nov.</td><td><i>O. pes-capreae *</i>, <i>O. purpurea *</i></td><td>+</td><td>+</td></tr><tr><td><i>vitis</i> (Marshall, 1957)</td><td><i>O. glabra</i></td><td>+</td><td>+</td></tr><tr><td>sp. 1</td><td><i>O. obtusa</i></td><td>+</td><td>+</td></tr><tr><td>sp. 2</td><td><i>O.</i> cf. <i>purpurea</i></td><td>+</td><td>+</td></tr><tr><td>sp. 3</td><td><i>O. obtusa</i></td><td>+</td><td>+</td></tr><tr><td>sp. 4</td><td><i>_</i></td><td></td><td></td></tr><tr><td>sp. 5</td><td><i>O. obtusa</i></td><td></td><td>+</td></tr><tr><td>sp. 6</td><td><i>_</i></td><td></td><td></td></tr><tr><th><i>Hadrocryptolarynx</i> gen. nov.</th><td><i>major</i> gen. et sp. nov.</td><td><i>O. luteola</i>, <i>O. obtusa</i>, <i>Oxalis</i> spp.</td><td></td><td></td></tr></tbody></table>
Exploring the potential of Near Infrared Hyperspectral Imaging and chemometrics to discriminate soil seed bank of two timber species central African : Erythrophleum suaveolens (Guill. & Perr.) Brenan, and Erythrophleum ivorense A. Chev.
<p>The data of this study are accessible by sending a request to the corresponding author at the email address: douhch382@gmail.com. <a href="https://doi.org/10.5281/zenodo.13908452" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.13908452</a></p>
Effect of Organic Cation Size on Structural, Thermochromic, Dielectric and Photoluminescence Properties of Two-Dimensional Lead Iodide Perovskites with Extremally Reduced Dielectric Confinement
<p>Dataset for scientific publication entitled Effect of Organic Cation Size on Structural, Thermochromic, Dielectric and Photoluminescence Properties of Two-Dimensional Lead Iodide Perovskites with Extremally Reduced Dielectric Confinement. </p> <p>This research was supported by the National Science Center (Narodowe Centrum Nauki) in Poland under project No. 2020/38/A/ST3/00214. JKZ acknowledges support from Academia Iuvenum, Wroclaw University of Science and Technology.</p>
Species diversity and community structure of braconid wasps (Hymenoptera) in two ecological hotspots of Iran: implication for conservation
<p><span><span>Species diversity and community structure of braconid wasps (Hymenoptera) <a name="_Hlk115346465"></a>in two ecological hotspots of <a name="_Hlk115825047"></a><span>Iran</span>: implication for conservation </span></span></p> <p><span>Parisa Abdoli<sup>1</sup>, Ali Asghar Talebi<sup>1</sup></span><a title="" href="#_ftn1" name="_ftnref1"><sup><span><span>*</span></span></sup></a><span>, Nickolas G. Kavallieratos<sup>2</sup>, Samira Farahani<sup>3­</sup> and Rasoul Khosravi<sup>4</sup> </span></p> <p><em><span> </span></em></p> <p><span>1. Department of Entomology, Faculty of Agriculture, Tarbiat Modares University, Tehran, I.R. Iran. <a name="_Hlk533412392"></a>talebia@modares.ac.ir; P.abdoli@modares.ac.ir</span></p> <p><span>2. Laboratory of Agricultural Zoology and Entomology, Department of Crop Science, Agricultural University of Athens; 75 Iera Odos <span> </span>str., 11855 Athens, Attica, Greece. </span><span>nick_kaval@aua.gr</span></p> <p><span>3. Research Institute of Forests and Rangelands, Agricultural Research Education and Extension Organization (AREEO), Tehran, I. R. Iran.<span> </span></span><a href="mailto:s.farahani@rifr-ac.ir"><span>s.farahani@rifr-ac.ir</span></a></p> <p><span><span>4. Department of Natural Resources and Environmental Engineering, College of Agriculture, Shiraz University, Shiraz, Iran, r-khosravi@shirazu.ac.ir</span></span></p> <div><br> <div> <p><a title="" href="#_ftnref1" name="_ftn1"><span><span><span>*</span></span></span></a><span> </span>Correspondence<span>. E-mail: talebia@modares.ac.ir</span></p> <p> </p> </div> </div>
Advancing Robotic Swarms with Blockchain Technology: A Dynamic Two-Factor Authentication Consensus Framework
<h1><strong><span>Data Description and File Structure:</span></strong></h1> <p>This data repository contains the raw data collected across all the experiments describe from the paper entitled “Advancing Robotic Swarms with Blockchain Technology: A Dynamic Two-Factor Authentication Consensus Framework”. These are available as CSV files under the appropriate directories.</p> <p>Three main folders are found in this repository:</p> <ul> <li><code><strong>1FA-single-factor-auth/</strong></code> <ul> <li>Contains raw data from experiments using the Single-Factor Authentication (1FA) framework, where only on-chain consensus validation (OCV) is applied without the off-chain peer verification (OPV) phase.</li> </ul> </li> <li><code><strong>2FBC_two-factor-blockchain/</strong></code> <ul> <li>Includes data from experiments employing the Two-Factor Blockchain Consensus (2FBC) framework, which integrates both off-chain peer verification (OPV) and on-chain consensus validation (OCV) phases for enhanced security. This also contains the baseline results.</li> </ul> </li> <li><code><strong>BB_blockchain-base/</strong></code> <ul> <li>Stores the experimental data from the Blockchain Base (BB) framework, where a basic blockchain model was used without the multi-factor authentication features of 1FA or 2FBC. Most data points here are obtained from the work of Strobel et al. (2023) in their work, <u>doi/10.1126/scirobotics.abm4636</u></li> </ul> </li> </ul> <p>Under each directory, we have the following folders:</p> <ul> <li><code><strong>exp_1/</strong></code> <ul> <li>Contains data from scalability experiments, where swarm size was increased within a fixed 3.6 m² arena to evaluate the framework’s performance as the number of robots grows.</li> </ul> </li> <li><code><strong>exp_2/</strong></code> <ul> <li>Includes data from accuracy tests that varied the percentage of white tiles in the environment to assess the framework's ability to reach accurate consensus under different conditions.</li> </ul> </li> <li><code><strong>exp_3a/</strong></code> <ul> <li>Stores data from robustness experiments focused on testing the swarm's resilience to different numbers of Byzantine robots within the network.</li> </ul> </li> <li><code><strong>exp_3b/</strong></code> <ul> <li>Contains data from experiments evaluating the robustness of the swarm when subjected to various Byzantine attack types, testing the framework’s ability to handle adversarial behaviors.</li> </ul> </li> <li><code><strong>exp_4/</strong></code> <ul> <li>Holds data from the resource efficiency experiments, which measured the computational resource usage (CPU, RAM, and blockchain size) during a prolonged 10-hour swarm operation.</li> </ul> </li> </ul> <p>Each experiment configuration is carried out in 20 repetitions.</p> <h3><strong><em>Experiment 1 (exp_1):</em></strong></h3> <ul> <li><code><strong>8rob-2byz/</strong></code> Data for scalability experiments with 8 robots, 2 of which are Byzantine.</li> <li><code><strong>16rob-4byz/</strong></code> Data for scalability experiments with 16 robots, 4 of which are Byzantine.</li> <li><strong><code>24rob-6byz/</code> </strong>Data for scalability experiments with 24 robots, 6 of which are Byzantine.</li> <li><code><strong>48rob-12byz/</strong></code> Data for scalability experiments with 48 robots, 12 of which are Byzantine.</li> </ul> <h3><strong><em>Experiment 2 (exp_2):</em></strong></h3> <ul> <li><code><strong>24rob-5floor-6byz/</strong></code> Data for accuracy experiments with 24 robots, 6 of which are Byzantine, and 5% white floor tiles.</li> <li><code><strong>24rob-25floor-6byz/</strong></code> Data for accuracy experiments with 24 robots, 6 of which are Byzantine, and 25% white floor tiles.</li> <li><strong><code>24rob-45floor-6byz/</code> </strong>Data for accuracy experiments with 24 robots, 6 of which are Byzantine, and 45% white floor tiles.</li> <li><strong><code>24rob-75floor-6byz/</code> </strong>Data for accuracy experiments with 24 robots, 6 of which are Byzantine, and 75% white floor tiles.</li> </ul> <h3><strong><em>Experiment 3a (exp_3a):</em></strong></h3> <ul> <li><strong><code>24rob-0byz/</code> </strong>Data for robustness experiments with 24 robots and no Byzantine robots.</li> <li><strong><code>24rob-3byz/</code> </strong>Data for robustness experiments with 24 robots and 3 Byzantine robots.</li> <li><code><strong>24rob-6byz/</strong></code> Data for robustness experiments with 24 robots and 6 Byzantine robots.</li> <li><strong><code>24rob-9byz/</code> </strong>Data for robustness experiments with 24 robots and 9 Byzantine robots.</li> </ul> <h3><strong><em>Experiment 3b (exp_3b):</em></strong></h3> <ul> <li><strong><code>24rob-6byz-1style/</code> </strong>Data for robustness experiments with 24 robots, 6 Byzantine robots, using attack style 1 or 0% white tile estimate</li> <li><strong><code>24rob-6byz-2style/</code> </strong>Data for robustness experiments with 24 robots, 6 Byzantine robots, using attack style 2 or 100% white tile estimate</li> <li><strong><code>24rob-6byz-3style/</code> </strong>Data for robustness experiments with 24 robots, 6 Byzantine robots, using attack style 3 or attack from a Bernoulli distribution</li> <li><code><strong>24rob-6byz-4style/</strong></code> Data for robustness experiments with 24 robots, 6 Byzantine robots, using attack style 4 or attack from a Uniform distribution</li> <li><code><strong>24rob-6byz-5style/</strong></code> Data for robustness experiments with 24 robots, 6 Byzantine robots, using attack style 5 or flooding</li> <li><strong><code>24rob-6byz-6style/</code> </strong>Data for robustness experiments with 24 robots, 6 Byzantine robots, using attack style 6 or eavesdropping</li> </ul> <h3><strong><em>Experiment 4 (exp_4):</em></strong></h3> <ul> <li><strong><code>8rob-2byz/</code> </strong>Data for resource efficiency experiments with 8 robots, 2 of which are Byzantine.</li> <li><strong><code>16rob-4byz/</code> </strong>Data for resource efficiency experiments with 16 robots, 4 of which are Byzantine.</li> <li><code><strong>24rob-6byz/</strong></code> Data for resource efficiency experiments with 24 robots, 6 of which are Byzantine.</li> <li><code><strong>48rob-12byz/</strong></code> Data for resource efficiency experiments with 48 robots, 12 of which are Byzantine.</li> <li><strong><code>72rob-18byz/</code> </strong>Data for resource efficiency experiments with 72 robots, 18 of which are Byzantine.</li> <li><strong><code>96rob-24byz/</code> </strong>Data for resource efficiency experiments with 96 robots, 24 of which are Byzantine.</li> <li><strong><code>120rob-30byz/</code> </strong>Data for resource efficiency experiments with 120 robots, 30 of which are Byzantine.</li> </ul> <h3><strong>Relevant Files:</strong></h3> <ul> <li><code><strong>block.csv</strong></code> Contains information about each blockchain block generated during the experiment, including block number, size, timestamp, and the number of transactions. The TELAPSED column indicates the time elapsed since the previous block was generated.</li> <li><code><strong>estimate.csv</strong></code> Stores the estimates collected by each robot during the simulation. Each entry includes the time of the estimate and the estimated percentage of white tiles in the arena.</li> <li><code><strong>sc.csv</strong></code> Contains information on smart contract interactions, including the mean estimate across robots, vote counts, and whether consensus was achieved (C?).</li> <li><strong><code>extra.csv</code></strong> Records additional performance metrics during the experiments, including CPU and RAM usage, as well as the size of the blockchain data folder.</li> </ul> <h3><strong>Relevant Data Fields:</strong></h3> <ul> <li><code><strong>ID</strong></code> The identifier assigned to each robot participating in the experiment. It remains constant across all entries for a particular robot.</li> <li><code><strong>TIME</strong></code> The timestamp (in seconds) at which the data was recorded. This is relative to the start of the simulation.</li> <li><code><strong>TELAPSED</strong></code> Indicates the time elapsed between blocks or events, recorded in seconds.</li> <li><code><strong>TIMESTAMP </strong></code>Represents the Unix timestamp when a blockchain block was generated, denoting the actual system time.</li> <li><code><strong>BLOCK </strong></code>The blockchain block number created by the system during the simulation. This value increments as new blocks are added.</li> <li><code><strong>SIZE</strong></code> The size of each block in bytes, indicating the data storage requirement of each blockchain entry.</li> <li><strong><code>ESTIMATE</code> </strong>The estimate provided by the robot, representing the percentage of white tiles detected in the arena.</li> <li><strong><code>MEAN</code> </strong>The mean estimate across the swarm, as calculated on-chain via the smart contract.</li> <li><code><strong>VOTECOUNT</strong></code> Total number of estimates submitted to the smart contract for consensus validation.</li> <li><code><strong>VOTEOKCOUNT</strong></code> The number of valid votes that passed the validation process (e.g., not flagged as outliers).</li> <li><strong><code>C?</code> </strong> A Boolean value indicating whether consensus has been achieved for a given block of estimates.</li> <li><code><strong>CPU</strong></code> Percentage of CPU utilization, showing the computational load on the robot during the simulation.</li> <li><code><strong>RAM</strong></code> The amount of RAM used by each robot during the experiment, measured in percent or bytes.</li> <li><code><strong>KB</strong></code> The size of the blockchain data folder, measured in kilobytes (KB). This indicates how much data was stored by the blockchain system during the experiment.</li> </ul>
Fig. 4 in Taxonomic revision of the king cobra Ophiophagus hannah (Cantor, 1836) species complex (Reptilia: Serpentes: Elapidae), with the description of two new species
Fig. 4. Plate XII from Cantor (1836), showing head in dorsal and ventral views, scale closeups and the posterior venter and tail of a syntype of Hamadryas hannah Cantor, 1836.
Fig. 6. Plate XVII, figures 8–9 in Taxonomic revision of the king cobra Ophiophagus hannah (Cantor, 1836) species complex (Reptilia: Serpentes: Elapidae), with the description of two new species
Fig. 6. Plate XVII, figures 8–9 from Schlegel (1837), showing head in dorsal and lateral views of lectotype of Naja bungarus Schlegel, 1837 (RMNH 1334).
Fig. 9 in Taxonomic revision of the king cobra Ophiophagus hannah (Cantor, 1836) species complex (Reptilia: Serpentes: Elapidae), with the description of two new species
Fig. 9. Head in dorsal, ventral and lateral views of respective type specimens of species of Ophiophagus Günther, 1864. A–C. Ophiophagus hannah (Cantor, 1836), neotype, ♀ (ZSI 8292). A. Dorsal view of head. B. Ventral view of head. C. Left lateral view of head. D–F. Ophiophagus bungarus (Schlegel, 1837) comb. nov., lectotype, ♂ (RMNH 1334). D. Dorsal view of head. E. Ventral view of head. F. Left lateral view of head. G–I. Ophiophagus kaalinga Gowri Shankar, Das & Ganesh sp. nov., holotype, ♂ (BNHS 3655). G. Dorsal view of head. H. Ventral view of head. I. Left lateral view of head. J–L. Ophiophagus salvatana Gowri Shankar, Das & Wüster sp. nov., holotype, ♂ (CAS 61329). J. Dorsal view of head. K. Ventral view of head. L. Left lateral view of head.
Fig. 1 in Taxonomic revision of the king cobra Ophiophagus hannah (Cantor, 1836) species complex (Reptilia: Serpentes: Elapidae), with the description of two new species
Fig. 1. Illustration of morphological characters and measurement landmarks used in the taxonomic descriptions of the Ophiophagus hannah species complex. Sketch by H.Vinod Kumar.
Fig. 3. Plate XI in Taxonomic revision of the king cobra Ophiophagus hannah (Cantor, 1836) species complex (Reptilia: Serpentes: Elapidae), with the description of two new species
Fig. 3. Plate XI from Cantor (1836), showing cranium, mandible, dissected head and venom glands of a syntype of Hamadryas hannah Cantor, 1836.
Fig. 2. Plate X in Taxonomic revision of the king cobra Ophiophagus hannah (Cantor, 1836) species complex (Reptilia: Serpentes: Elapidae), with the description of two new species
Fig. 2. Plate X from Cantor (1836), showing head with neck expanded in anterior and posterior views of a syntype of Hamadryas hannah Cantor, 1836.
Fig. 5 in Taxonomic revision of the king cobra Ophiophagus hannah (Cantor, 1836) species complex (Reptilia: Serpentes: Elapidae), with the description of two new species
Fig. 5. Holotype of Naia vittata Elliot, 1840. Top. Photograph of the preserved holotype specimen BMNH 1996.451. Bottom. Plate I from Elliot (1840).
Fig. 8. Plate 8 in Taxonomic revision of the king cobra Ophiophagus hannah (Cantor, 1836) species complex (Reptilia: Serpentes: Elapidae), with the description of two new species
Fig. 8. Plate 8, from Fayrer (1872) depicting the 'Dusky variety' of Ophiophagus elaps (Günther, 1858), and corresponding to Ophiophagus kaalinga Gowri Shankar, Das & Ganesh sp. nov., showing entire body of a hooding adult in mostly a dorsolateral view.
Fig. 15 in Taxonomic revision of the king cobra Ophiophagus hannah (Cantor, 1836) species complex (Reptilia: Serpentes: Elapidae), with the description of two new species
Fig. 15. Live unvouchered adults of Ophiophagus kaalinga Gowri Shankar, Das & Ganesh sp. nov. showing variation in colour pattern. A. Kalakkad-Mundanthurai Tiger Reserve, India (photo: Naveen Joseph). B–C. Agumbe, Karnataka, India (photo: P. Gowri Shankar). D. Goa, India (photo: P. Gowri Shankar).
Fig. 7. Plate 7, figures 1–4 in Taxonomic revision of the king cobra Ophiophagus hannah (Cantor, 1836) species complex (Reptilia: Serpentes: Elapidae), with the description of two new species
Fig. 7. Plate 7, figures 1–4 from Fayrer (1872), depicting Ophiophagus elaps (Günther, 1858), and corresponding to Ophiophagus hannah (Cantor, 1836) s. str., showing the body in dorsolateral view of an adult with a partially raised forebody. Also shown are line drawings of head in dorsal, ventral and lateral views.
Fig. 14 in Taxonomic revision of the king cobra Ophiophagus hannah (Cantor, 1836) species complex (Reptilia: Serpentes: Elapidae), with the description of two new species
Fig. 14. Live unvouchered adults of Ophiophagus bungarus (Schlegel, 1837) comb. nov. showing variations in colour pattern. A. Peninsular Malaysia (photo: Ahmad Khaldun Ismail). B. Java, Indonesia (photo: Nathan Rusli). C. Bali, Indonesia (photo: Shinta Sukum). D. East Malaysia (photo: P. Gowri Shankar).
Fig. 13 in Taxonomic revision of the king cobra Ophiophagus hannah (Cantor, 1836) species complex (Reptilia: Serpentes: Elapidae), with the description of two new species
Fig. 13. Live unvouchered adults of Ophiophagus hannah (Cantor, 1836) showing variations in colour pattern. A. Mizoram, India (photo: H.T. Lalremsanga). B. China (Adam Francis). C. Thailand (photo: P. Gowri Shankar). D. Andaman Islands, India (photo: Aaron Fernandes).
Fig. 11 in Taxonomic revision of the king cobra Ophiophagus hannah (Cantor, 1836) species complex (Reptilia: Serpentes: Elapidae), with the description of two new species
Fig. 11. Variation in dorsal bands in adults of the four species of Ophiophagus Günther, 1864 recognised in this study. A. O. kaalinga Gowri Shankar, Das & Ganesh sp. nov. B. O. hannah (Cantor, 1836). C. O. bungarus (Schlegel, 1837) comb. nov. D. O. salvatana Gowri Shankar, Das & Wüster sp. nov.
Fig. 10 in Taxonomic revision of the king cobra Ophiophagus hannah (Cantor, 1836) species complex (Reptilia: Serpentes: Elapidae), with the description of two new species
Fig. 10. View of dorsum of entire body of respective type specimens of species of Ophiophagus Günther, 1864. A. Ophiophagus hannah (Cantor, 1836), neotype, ♀ (ZSI 8292). B. Ophiophagus bungarus (Schlegel, 1837) comb. nov., lectotype, ♂ (RMNH 1334). C. Ophiophagus kaalinga Gowri Shankar, Das & Ganesh sp. nov., holotype, ♂ (BNHS 3655). D. Ophiophagus salvatana Gowri Shankar, Das & Wüster sp. nov., holotype, ♂ (CAS 61329).
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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.