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13,117 results for “Maps”
Map 1 in Two new taxa of the Subgenus Artapocyrtus Heller, 1912, Genus Metapocyrtus Heller, 1912 from the Philippines (Coleoptera, Curculionidae, Entiminae, Pachyrhynchini)
Map 1. Distribution of M. (A.) lumawigi sp. n., M. (A.) quadriplagiatus caeruleus ssp. nov. and M. (A.) quadriplagiatus quadriplagiatus
Figure 1. Neural characters and systems discussed mapped onto a in Neurobiology of the Anomura: Paguroidea, Galatheoidea and Hippoidea
Figure 1. Neural characters and systems discussed mapped onto a partial phylogeny of Reptantia (based on Morrison et al., 2001, and Schram, 2001). Filled boxes: character present; hatched boxes: character modified; open boxes: character lost. AT – anterior telson muscle and motoneuron; FAC – fast, anterior, contralateral flexor motoneurons; hMoG – homologue of MoG (Sillar and Heitler, 1985); MG – medial giant interneuron pair; LG – lateral giant interneurons; MG – medial giant interneurons; "MG" – modified MG system (Heitler and Fraser, 1986, 1987); MoG – motor giant flexor motoneuron; nonG – non-giant (as opposed to LGs, or MGs) interneuron system for swimming by repetitive tailflipping; RSM – return stroke muscle and motoneurons; TUSR – telson-uropod stretch receptor (nonspiking: graded potentials transmitted; spiking: receptor potential converted to action potentials). VTF – ventral telson flexor muscle. 1. It is debated whether homologues of macruran MG and LG neurons have been retained in brachyuran thoracic nerve cord. Retention of MG homologues could be expected for their direct connections to leg promotor motoneurons, which in crayfish cause the legs to extend forward, thus contributing to the rearward trajectory of the MGtriggered tailflips (Heitler and Fraser, 1989). The LG neurons have no known output to thoracic leg musculature in macrurans and are presumed absent from Brachyura. If LG homologues are present, then their losses from the thalassinid and anomuran lineages occurred independently. 2. The stereotyped movements of sand crabs' (Hippoidea) digging legs differ between legs 2/3 and leg 4, corresponding, respectively, to backward walking and forward walking movements in other species (Faulkes and Paul, 1998). 3. Rhythmic movements of the legs and "tail" co-occur in Hippoidea, whereas their homologues (walking and tailflipping) in walking species are mutually excusive (Faulkes and Paul, 1997a). 4. Right and left legs of each segment alternate at onset of digging, then switch to bilateral synchrony (Faulkes and Paul, 1997b). 5. Rhythmic digging movements of the fourth legs are coordinated with uropod strokes (homologue of nonG flexions) rather than with the anterior legs (Faulkes and Paul, 1997a). Not included are the changes from the ancestral macruran condition in aminergic systems and agonistic behaviours of M. quadrispina (Antonsen and Paul, 1997, 2001).
High-resolution (10-meter) Dynamic Water body map of the Hindu Kush Himalaya region (DWH10) for the year 2022
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MAP 1 in Contributions to Odontogryllini (Orthoptera: Gryllidae: Landrevinae) with comments on its taxonomic status and description of a new species of Xulavuna de Mello & Campos, 2014
MAP 1. Records map of Xulavuna species
MAP 1 in Studies of Raspy Crickets: The Status of the Wingless American gryllacridines (Orthoptera: Gryllacrididae)
MAP 1. Camptonotus affinis and Neoeremus oaxacae distribution.
Figure 4 from: Pratiwi H, Kristina SA, Widayanti AW, Prabandari YS (2024) Mapping the research on healthcare students' empathy: Insights from a bibliometric analysis. Pharmacia 71: 1-8. https://doi.org/10.3897/pharmacia.71.e120826
Figure 4 A. Keywords co-occurrence network of the healthcare students' empathy; B. Density visualization of keywords co-occurrence.
Figure 2 from: Pratiwi H, Kristina SA, Widayanti AW, Prabandari YS (2024) Mapping the research on healthcare students' empathy: Insights from a bibliometric analysis. Pharmacia 71: 1-8. https://doi.org/10.3897/pharmacia.71.e120826
Figure 2 A. Number of Publications per Year; B. Distribution of Institutions; C. Number of Publications per Country; D. Number of Citations per Country.
A Dynamic Points Removal Benchmark in Point Cloud Maps
<p>Uniformat Dataset LiDAR Point Cloud Data [PCD format: with pose and points (x,y,z,/i)] <br>We recommend you read this wiki page first to know about data: <a href="https://kth-rpl.github.io/DynamicMap_Benchmark/data/">https://kth-rpl.github.io/DynamicMap_Benchmark/data/</a><br>For methods detail: <a href="https://github.com/KTH-RPL/DynamicMap_Benchmark">DynamicMap_Benchmark repo</a>, <a href="https://github.com/KTH-RPL/dufomap">DUFOMap</a>, <a href="https://github.com/MKJia/BeautyMap">BeautyMap</a>.</p> <ul> <li>00: <a href="https://www.cvlibs.net/datasets/kitti/index.php">KITTI sequence</a> 00 [VLP-64] from frame 4390 to 4530</li> <li>05: <a href="https://www.cvlibs.net/datasets/kitti/index.php">KITTI sequence</a> 05 [VLP-64] from frame 2350 to 2670</li> <li>av2: <a href="https://www.argoverse.org/av2.html">Argoverse 2.0</a> one sequence on <em>07YOTznatmYypvQYpzviEcU3yGPsyaGg__Spring_2020. </em>[2 x VLP-32]</li> <li>KTH campus: <a href="https://mcdviral.github.io/">CVPR'24 MCD</a>(Leica RTC360) For convenience teaser running, we include only 18 frames in data. Please check <a href="https://mcdviral.github.io/">the MCD project page</a> for more.</li> <li>semindoor: semi-indoor dataset collected by [VLP-16], collected by ourselves. </li> <li>twofloor: complex structure with two floors[Livox mid-360], collected by ourselves.</li> </ul> <p> </p> <table> <tbody> <tr> <td>Dataset</td> <td>Description</td> <td>Sensor Type</td> <td>Total Frame Number</td> </tr> <tr> <td>KITTI sequence 00</td> <td>in a small town with few dynamics (including one pedestrian around)</td> <td>VLP-64</td> <td>141</td> </tr> <tr> <td>KITTI sequence 05</td> <td>in a small town straight way, one higher car, the benchmarking paper cover image from this sequence.</td> <td>VLP-64</td> <td>321</td> </tr> <tr> <td>Argoverse2</td> <td>in a big city, crowded and tall buildings (including cyclists, vehicles, people walking near the building etc.</td> <td>2 x VLP-32</td> <td>575</td> </tr> <tr> <td>KTH campus (no gt)</td> <td>Collected by us (Thien-Minh) on the KTH campus. Lots of people move around on the campus. The DUFOMap paper cover image is from this one.</td> <td>Leica RTC360</td> <td>18</td> </tr> <tr> <td>Semi-indoor</td> <td>Collected by us (Qingwen & Mingkai), running on a small 1x2 vehicle with two people walking around the platform.</td> <td>VLP-16</td> <td>960</td> </tr> <tr> <td>Twofloor (no gt)</td> <td>Collected by us (Bowen Yang) in a quadruped robot. A two-floor structure environment with one pedestrian around.</td> <td>Livox-mid 360</td> <td>3305</td> </tr> </tbody> </table> <p> </p> <p>Cite as:</p> <blockquote> <p>@inproceedings{zhang2023benchmark,<br> author={Zhang, Qingwen and Duberg, Daniel and Geng, Ruoyu and Jia, Mingkai and Wang, Lujia and Jensfelt, Patric},<br> booktitle={IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)}, <br> title={A Dynamic Points Removal Benchmark in Point Cloud Maps}, <br> year={2023},<br> pages={608-614},<br> doi={10.1109/ITSC57777.2023.10422094}<br>}<br>@article{jia2024beautymap,<br> author={Jia, Mingkai and Zhang, Qingwen and Yang, Bowen and Wu, Jin and Liu, Ming and Jensfelt, Patric},<br> journal={IEEE Robotics and Automation Letters}, <br> title={{BeautyMap}: Binary-Encoded Adaptable Ground Matrix for Dynamic Points Removal in Global Maps}, <br> year={2024},<br> volume={9},<br> number={7},<br> pages={6256-6263},<br> doi={10.1109/LRA.2024.3402625}<br>}<br>@article{daniel2024dufomap,<br> author={Duberg, Daniel and Zhang, Qingwen and Jia, Mingkai and Jensfelt, Patric},<br> journal={IEEE Robotics and Automation Letters}, <br> title={{DUFOMap}: Efficient Dynamic Awareness Mapping}, <br> year={2024},<br> volume={9},<br> number={6},<br> pages={5038-5045},<br> doi={10.1109/LRA.2024.3387658}<br>}</p> </blockquote> <p> </p> <p>If you use this data, feel free to add your project to <a href="https://kth-rpl.github.io/DynamicMap_Benchmark/papers/">https://kth-rpl.github.io/DynamicMap_Benchmark/papers/</a></p>
Genetic mapping of serum metabolome to chronic diseases among Han Chinese
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Propagation mapping
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3D localization AFM (3D-LAFM) density map of Annexin-V, membrane-bound in a p6 lattice
<p>3D localization AFM (3D-LAFM) density map of Annexin-V, membrane-bound in a p6 lattice, in <code>.afm</code> format and in <code>.mrc</code> format.</p> <p>Note: The <code>.afm</code> file encodes details for constructing 3D-LAFM density maps and includes experimental conditions in its header. Using <code>.afm</code> files requires the additional installation of the AFM file encoder (available from <a href="https://github.com/rafaeljiang23/3D-LAFM/tree/main/ChimeraX-AfmFormat_v2">GitHub</a>). Once the relevant installation is complete, <code>.afm</code> files can be opened in ChimeraX via drag-and-drop. In contrast, <code>.mrc</code> files, which encode only the density values equivalent to <code>.afm</code> files, can be directly opened in ChimeraX without requiring additional software installation.</p> <p>The deposited <code>.afm</code> file follows the 'AFM1' (metacode) format standard.</p>
Dataset for "Output control of dissipative nonlinear multimode amplifiers via spacetime symmetry mapping"
<p>Note: Simulation codes and instructions are available at <a href="https://github.com/joe851642001/MWAT" target="_new" rel="noopener">GitHub - MWAT</a>.</p>
THP-1 Monocyte invasion cell tracks through guest-host MAP over 18 hours.
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THP-1 Monocyte invasion through guest-host MAP over 18 hours.
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Manual shear test, Guest-Host MAP
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Manual droplet test, Guest-Host MAP
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Dataset - Systematic Mapping Study - PSECO
<p>Dataset for the Systematic Mapping Study about Proprietary Software Ecosystem (PSECO)</p>
Supplementary material of Metrics for Quality Assessment in Blockchain-based Systems: A Systematic Mapping Study
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Road-map for readily available early V&V of systems behavior
<p>This file is a living road-map towards readily available early V&V of systems behavior.</p>
Appendix B of Berg, Afruni et al. 2024, entitled:' Mapping the spatial extent of HI-rich absorbers using MgII absorption along gravitational arcs', accepted for publication on A&A
<p>J1527 velocity profiles</p>
ScienceDex guides
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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.