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13,117 results for “Maps”
Map 1 from: Chen Z, Lattke JE, Shi F, Zhou Z (2017) Three new species of the genus Gnamptogenys (Hymenoptera, Formicidae) from southern China with a key to the known Chinese species. Journal of Hymenoptera Research 54: 93-112. https://doi.org/10.3897/jhr.54.10816
Map 1 - Distribution of ten known species of the genus Gnamptogenys in China. The data came from collection specimens and literatures.
FIGURE 1 in Map and shapefile of the biogeographic provinces of Argentina
FIGURE 1. Biogeographic scheme of Argentina, including political provinces.
FIGURE 105. Distribution map for E in Electrogena brulini sp. nov. and E. vipavensis Zurwerra & Tomka, 1986 syn. nov. revealed by integrative taxonomy of E. gridellii (Grandi, 1953) (Ephemeroptera: Heptageniidae)
FIGURE 105. Distribution map for E. brulini (red) and E. gridellii (green).
Autonomous Aerial Inspection using Visual-Inertial Robust Localization and Mapping
<p>This video illustrates the content of the paper referenced below.<br> <br> <strong>Reference:</strong><br> Lucas Teixeira, Ignacio Alzugaray and Margarita Chli, "Autonomous Aerial Inspection using Visual-Inertial Robust Localization and Mapping", in Proceedings of the International Conference on Field and Service Robotics (FSR), 2017.</p> <p><strong>Abstract:</strong></p> <p>With recent technological breakthroughs bringing fully autonomous inspection using small Unmanned Aerial Vehicles (UAVs) closer to reality, the community of Robotics has actively been developing the real-time perception capabilities able to run onboard such constraint platforms. Despite good progress, realistic deployment of autonomous UAVs in GPS-denied environments is still rudimentary. In this work, we propose a novel system to generate a collision-free path towards a user-specified inspection direction for a small UAV using monocular-inertial sensing only and performing all computation onboard. Estimating both the previously unknown scene and the UAV’s trajectory on the fly, this system is evaluated on real experiments outdoors in the presence of wind and poorly structured environments. Our analysis reveals the shortcomings of using sparse feature maps for planning, highlighting the importance of robust dense scene estimation proposed here.</p>
Supplementary material 4 from: Nedkov S, Zhiyanski M, Dimitrov S, Borisova B, Popov A, Ihtimanski I, Yaneva R, Nikolov P, Bratanova-Doncheva S (2017) Mapping and assessment of urban ecosystem condition and services using integrated index of spatial structure. One Ecosystem 2: e14499. https://doi.org/10.3897/oneeco.2.e14499
Contains descriptions of urban ecosystem subtypes and their relation to EUNIS habitat classess
Supplementary material 3 from: Nedkov S, Zhiyanski M, Dimitrov S, Borisova B, Popov A, Ihtimanski I, Yaneva R, Nikolov P, Bratanova-Doncheva S (2017) Mapping and assessment of urban ecosystem condition and services using integrated index of spatial structure. One Ecosystem 2: e14499. https://doi.org/10.3897/oneeco.2.e14499
Map of urban ecosystem condition representing an example of map sheets that cover the whole country
Map 1 from: Siti Munirah M, Dzulkafly Z (2017) Ridleyandra merohmerea (Gesneriaceae), a new species from Kelantan, Peninsular Malaysia. PhytoKeys 89: 1-10. https://doi.org/10.3897/phytokeys.89.20344
Map 1 - Distribution of Ridleyandra merohmerea (●), R. morganii (▲) and R. iminii (■) in Peninsular Malaysia. NFI III Courtesy of Forest Department Peninsular Malaysia.
Supplementary files of paper titled "Seagrass mapping in Greek territorial waters using Landat-8 satellite images"
<p>Vector file with seagrass distribution in Greek waters derived from Landsat-8 satellite images.</p>
Figure 4 from: Likhitrakarn N, Golovatch SI, Srisonchai R, Panha S (2017) A new species of Trichopeltis Pocock, 1894 from southern China, with a checklist and a distribution map of Trichopeltis species (Diplopoda, Polydesmida, Cryptodesmidae). ZooKeys 725: 123-137. https://doi.org/10.3897/zookeys.725.22014
Figure 4 Trichopeltis sutchariti sp. n., ♂ holotype. A–E right gonopod, subfrontal, mesal (mirror image), sublateral, subcaudal and subfrontal views, respectively. Scale bar: 0.4 mm. Del. N. Likhitrakarn.
Figure 1 from: Likhitrakarn N, Golovatch SI, Srisonchai R, Panha S (2017) A new species of Trichopeltis Pocock, 1894 from southern China, with a checklist and a distribution map of Trichopeltis species (Diplopoda, Polydesmida, Cryptodesmidae). ZooKeys 725: 123-137. https://doi.org/10.3897/zookeys.725.22014
Figure 1 Habitus, live colouration of Trichopeltis sutchariti sp. n., A ♀ paratype B ♂ holotype. Scale bar: 5 mm.
Figure 3 from: Likhitrakarn N, Golovatch SI, Srisonchai R, Panha S (2017) A new species of Trichopeltis Pocock, 1894 from southern China, with a checklist and a distribution map of Trichopeltis species (Diplopoda, Polydesmida, Cryptodesmidae). ZooKeys 725: 123-137. https://doi.org/10.3897/zookeys.725.22014
Figure 3 Trichopeltis sutchariti sp. n., ♂ paratype. A segments 9–12, dorsal view B paraterga of segment 10, dorsal view C anterior edge of paraterga, dorsal view D paraterga, lateral view E metaterga of segment 9, dorsal view F setigerous tuberculations on metaterga, dorsal view G spherical knobs on metaterga, dorsal view H, I posterior part of body, dorsal and ventral views, respectively J, K gonopod, ventral and sublateral views, respectively L enlarged epiproct, dorsal view M enlarged prozona, dorsal view. SEM without metallic coating.
Figure 2 from: Likhitrakarn N, Golovatch SI, Srisonchai R, Panha S (2017) A new species of Trichopeltis Pocock, 1894 from southern China, with a checklist and a distribution map of Trichopeltis species (Diplopoda, Polydesmida, Cryptodesmidae). ZooKeys 725: 123-137. https://doi.org/10.3897/zookeys.725.22014
Figure 2 Trichopeltis sutchariti sp. n., ♂ paratype. A, D anterior part of body, ventral and dorsal views, respectively B antenna, ventral view C bacilliform sensilla on antennomere 5, lateral view E prozona of segment 2, dorsal view H limbus of collum, dorsal view F midbody segment, dorsal view G cross-section of a midbody segment, caudal view I enlarged prozona and stricture between pro- and metazona of a midbody segment, dorsal view.
Figure 5 from: Likhitrakarn N, Golovatch SI, Srisonchai R, Panha S (2017) A new species of Trichopeltis Pocock, 1894 from southern China, with a checklist and a distribution map of Trichopeltis species (Diplopoda, Polydesmida, Cryptodesmidae). ZooKeys 725: 123-137. https://doi.org/10.3897/zookeys.725.22014
Figure 5 Distribution of 12 currently known species of Trichopeltis. Open diamonds: T. watsoni Pocock, 1895; crossed open square: T. latellai Golovatch, Geoffroy, Mauirès & VandenSpiegel, 2010; open triangle: T. doriae Pocock, 1895; filled circle: T. feae Pocock, 1895; inverted open triangle: T. intricatus Liu, Golovatch & Tian, 2017; filled diamond: T. bellus Liu, Golovatch & Tian, 2017; inverted filled triangle: T. reflexus Liu, Golovatch & Tian, 2017; filled triangle: T. sutchariti sp. n.; crossed open diamond: T. muratovi Golovatch & VandenSpiegel, 2017; filled squares: T. cavernicola Golovatch, 2016; open squares: T. kometis (Attems, 1938); asterisk: T. bicolor (Pocock, 1984).
French national map of 2022 mowing dates
<p>National map of mowing dates for 2022. Produces using machine learning and sentinel-2 time series.</p>
Selected studies of the Artificial Intelligence Algorithms to Predict College Students academic performance: a Systematic Mapping Study
Open the record for dataset details and reuse information.
Mapping of the dataset of the German National Regsitry for Rare Diseases (NARSE) to Observational Medical Outcomes Partnership Common Data Model (OMOP CDM)
<p>Mapping between the data set of the German National Registry for Rare Diseases ("Nationales Register für Seltene Erkrankungen"; <a href="https://www.narse.de/">NARSE</a>) to Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) using international standards.</p>
Mix N Map Demo Video
<p>A brief demo video showcasing the main functionality of the Mix N Map sonification design platform.</p>
Figure 5 in Seagrass in Southeast Asia: a review of status and knowledge gaps, and a road map for conservation
Figure 5: Level of seagrass information available within the Southeast Asian region.
Mapping the Binding Hot Spots and Transient Binding Pockets on V-domain Immunoglobulin Suppressor of T Cell Activation (VISTA) Protein Surface
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Identifying and mapping the different ecosystem services around Mosvatnet from the 1930s until present day
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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.