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26,784 results for “M.”
FIGURE 17. Tethylembos japonicus Ariyama, 2004. All except for M, F1 and F2 in Three species of the family Aoridae Stebbing, 1899 (Crustacea: Amphipoda) collected from remote islands in southern Japan, with a key to all Japanese species of the family
FIGURE 17. Tethylembos japonicus Ariyama, 2004. All except for M, F1 and F2: male, 5.1 mm (OMNH-Ar-12907); M, holotype, male, 4.5 mm (OMNH-Ar-4933); F1, ovigerous female, 6.6 mm (OMNH-Ar-12908); F2, allotype, ovigerous female, 6.9 mm (OMNH-Ar-4934). Scales: 0.1 mm.
Supplementary material 1 from: Bermúdez-Cova MA, Hofmann TA, Yorou NS, Piepenbring M (2024) Systematic revision of species of Atractilina and Spiropes hyperparasitic on Meliolales (Ascomycota) in the tropics. MycoKeys 103: 167-213. https://doi.org/10.3897/mycokeys.103.115799
Alignments and tree generated during the analysis of the DNA sequences of Atractilina parasitica, Malacaria meliolicola and other members of the Dothideomycetes
FIGURE 3. Philobrya alata. A‒C, H, I, L, M in The Genus Philobrya J.G. Cooper, 1867 (Bivalvia: Philobryidae) In Patagonia And Adjacent Antarctic Waters
FIGURE 3. Philobrya alata. A‒C, H, I, L, M: holotype (MLP-Ma 15117), D‒G, K: specimens from Isla de los Estados (D‒G: MACN-In 43530, K: MACN-In 43529), J: paratype (MACN-In 43525). A, B, D‒G: outer views right valve (A: with periostracum, B, D‒G: without periostracum), C: outer view left valve (without periostracum), H: inner view left valve, I: inner view right valve, J: brooded embryo removed from the demibranch of an adult specimen, K, L: hinge plates right valve (K: specimen of 2.5 mm L, L: specimen of 2.9 mm L), M: hinge plate left valve (specimen of 2.9 mm L). Scale bars A‒I: 1 mm; J: 100 µm; K‒M: 500 µm. (Figures 3A‒C, H‒M are reproduced from Urcola & Zelaya (2021)).
Supplementary material 3 from: Tanaka S, Tokuda M (2024) Occurrence of giant migratory locust Locusta migratoria (Acrididae) on Tsushima Island, Japan. Journal of Orthoptera Research 33(1): 113-126. https://doi.org/10.3897/jor.33.112789
Supplementary material 3 from: Tanaka S, Tokuda M (2024) Occurrence of giant migratory locust Locusta migratoria (Acrididae) on Tsushima Island, Japan. Journal of Orthoptera Research 33(1): 113-126. https://doi.org/10.3897/jor.33.112789
Supplementary material 2 from: Tanaka S, Tokuda M (2024) Occurrence of giant migratory locust Locusta migratoria (Acrididae) on Tsushima Island, Japan. Journal of Orthoptera Research 33(1): 113-126. https://doi.org/10.3897/jor.33.112789
Supplementary material 2 from: Tanaka S, Tokuda M (2024) Occurrence of giant migratory locust Locusta migratoria (Acrididae) on Tsushima Island, Japan. Journal of Orthoptera Research 33(1): 113-126. https://doi.org/10.3897/jor.33.112789
Supplementary material 1 from: Tanaka S, Tokuda M (2024) Occurrence of giant migratory locust Locusta migratoria (Acrididae) on Tsushima Island, Japan. Journal of Orthoptera Research 33(1): 113-126. https://doi.org/10.3897/jor.33.112789
Supplementary material 1 from: Tanaka S, Tokuda M (2024) Occurrence of giant migratory locust Locusta migratoria (Acrididae) on Tsushima Island, Japan. Journal of Orthoptera Research 33(1): 113-126. https://doi.org/10.3897/jor.33.112789
Popek, R., Roy, A., Mandal, M., et al. (2024) Enhancing Urban Sustainability: How Spatial and Height Var-iability of Roadside Plants Improves Pollution Capture for Greener Cities - DATA
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Interpolated Quaternary and Jurassic surfaces below a 4.5 m dextral railroad offset near Summerville, SC
<p>Oblique view of the detrended morphology of the base of the Quaternary encountered in shallow auger holes in a ±30 km region near Summerville South Carolina (Weems and Lewis, 2002, Weems <em>et al</em>., 2014) and smoothed morphology of the prominent Jurassic reflector from reflection profiles from Chapman and Beales (2011). The smoothed Jurassic reflector is encountered at 560-850 m depth (Vert.= Hor. Scale x50); The Quaternary horizon lies at 3-9 m depth and its vertical scale is exagerrated x 5000.</p> <p>The vertical Summerville/ Gants fault is depicted with two colors. A dislocation model fit to a 4.5 m, 1.5 km scale dextral offset to the railroad (black line crossing the fault) shows that it slipped below ≈450 m, and this part of the fault is shaded red. Also shown with a broken dashed line are the eastern and southern edges of the Pneholoway Marine Terrace.</p> <p>The movie rotates about a point near Summerville that was raised by ≈1 m in the earthquake, and illustrates the coincidence of the upwarped base of the Quaternary and the Summerville/Gants fault, suggesting that the eastern edge of the Penholoway Terrace has been raised a few meters by earthquakes prior to the 1886 Charleston earthquake.</p>
M-Stock: AI-Based Photography Assessment System using Convolutional Neural Networks
<p>M-Stock (Mae Fah Luang University Photo Stock), an AI-driven automated photo evaluation platform designed to support student learning in photography by providing real-time feedback on both technical and artistic elements of their work. Using Convolutional Neural Networks (CNNs)</p> <p>Author: Assistant Professor Surapol Vorapatratorn, Ph.D<br>Organization: Center of Excellence in Artificial Intelligence and Emerging Technologies <br>School of Applied Digital Technology, Mae Fah Luang University, Chiang Rai, Thailand</p> <p><br>To start web service<br>1.Run runStreamlit.bat</p> <p>File description<br>Home.py => Home page<br>web.config => Streamlit's Path<br>Train_800.ipynb => Training model in Jupyter notebook file</p> <p>Directory description<br>image => Website image<br>model => model location<br>pages => each python web page <br>temp_dir => user upload file location<br>train_dir => training set</p>
Rejilla 2013-2023 de datos diarios de precipitación total, temperatura a 2 m, presión a 2 m del centro-oriente de Cuba
<p>Rejilla 2013-2023 de datos diarios de precipitación total, temperatura a 2 m, presión a 2 m del centro-oriente de Cuba generada con el WRF v4, forzado con ERA5. Postprocesado a datos diarios en superficie de variables meteorológicas.</p>
Multiscale large-eddy simulations of a low-level jet interacting with a wind farm and terrain (wind speed at 90 m AGL)
<p>Multiscale large-eddy simulations of a low-level jet interacting with a wind farm and terrain (wind speed at 90 m AGL) using the WRF-LES-GAD approach. Supplementary material part of the paper "Influence of simple terrain on the spatial variability of a low-level jet and wind farm performance in the AWAKEN field campaign", submitted to the Wind Energy Science journal.</p>
Gładysz, K., Wrochna M., & Popek, R. (2024) Tracking Particulate Matter Accumulation on Green Roofs: A Comparative Study at Warsaw University Library - DATA
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30 m resolution Qinghai-Tibet Plateau quarterly leaf area index maps of 2023
<p><span>Quarterly LAI maps of the Qinghai-Tibet Plateau are stored in folders divided into 5 × 5-degree blocks. The data files are in TIFF format, using the WGS84 coordinate system, with a uniform resolution of 30 meters. The naming convention for the files is: “LAI_Quarter_Longitude_Latitude”, e.g., LAI_1202_95_30.tif indicates the 2023 Q1 maximum LAI composite image for a block with the lower-left corner at 95°E longitude and 30°N latitude. Data usage instructions: The files can be opened with software such as ArcGIS, ENVI, and QGIS. Pixel valid values range from 0 to 8, while the background fill value is NaN. All block data has been compressed using LZW (Lempel-Ziv-Welch) lossless compression.</span></p>
Table A.11: M dwarfs + Planets
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Table A.10: M dwarfs + Ultracool dwarfs
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Table A.9: M dwarfs + White dwarfs
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Table A.8: M dwarfs + FGK stars
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The metre-scale roughness of asteroid (101955) Bennu from the OSIRIS-REx Laser Altimeter: Processed OLA v21 pointclouds for RMS deviation (L = 0.2 m to L = 20.0 m) [Dataset]
<p>Pointclouds:</p> <ul> <li>Pointcloud (.pcd) files for OLA RMS deviation calculation with fields: <br> <ul> <li>'Location': node points (XYZ points on Bennu's surface)</li> <li>'Intensity': height delta between the node and a neighbouring point at distance L from the node. 'Height' is defined as height above an orthogonally regressed plane fit to points within 2L of the node. </li> </ul> </li> </ul> <p> Tables:</p> <ul> <li>2020_06_bt_final_ma.xlsx: <ul> <li>Crater catalog from Bierhaus et al (2022)</li> </ul> </li> <li>bierhaus2023_craters_gt5m_lt80m_olav21_roi_flags.xlsx: <ul> <li>Subset of catalog from Bierhaus et al. (2022) with craters between 5 m - 80 m diameter used for interior-exterior roughness ratio in Bierhaus et al. (2023) and Rossmann et al. (2024).</li> </ul> </li> </ul> <p> </p>
An annual 30 m cultivated pasture dataset of the Tibetan Plateau from 1988 to 2021
<p><span>Cultivated pastures have rapidly developed across the Tibetan Plateau over the past several decades, raising concerns about grassland degradation. Accordingly, considerable attention is focused on the protection of grassland ecosystems. However, the high-resolution spatial distribution of cultivated pastures on the Tibetan Plateau remains poorly understood, primarily due to the difficulty of discriminating cultivated pastures from </span><span>non-cultivated pastures<span> using remote sensing techniques. The absence of such information hinders efficient agricultural and livestock husbandry management, making it challenging to support ecological protection and restoration efforts. Here, we mapped the cultivated pastures on the Tibetan Plateau at a 30-m resolution </span></span><span>for the years 1988 to 2021 </span><span>using the Landsat data on the Google Earth Engine (GEE) cloud computing platform. We built a Random Forest (RF) binary classification model with inputs of the spectral-temporal metrics of Landsat images acquired in the growing season, as well as ancillary topographic data. The model was trained using carefully selected training samples and validated against 2,000 independent random reference points. The model achieved an overall accuracy of 97.05% ± 0.4%</span><span> and an F1 spatial consistency score of 82.51% ± 14.22% (Precision: 90.04% ± 6.18%, Recall: 76.74% ± 9.91%)</span><span>, suggesting high confidence in </span><span>mapping the</span><span> distribution of cultivated pastures. </span><span>We produced a dataset of cultivated pasture maps for the years from 1988 to 2021 for Qinghai Province and the Tibet Autonomous Region on the Tibetan Plateau, covering 77% of the plateau. </span><span>To o</span><span>ur knowledge, we are the first to map cultivated pastures on the Tibetan Plateau, and our RF binary classification approach holds promise in identifying cultivated pastures in other regions of the world, which could prove invaluable for scientists, policymakers, ecological conservation practitioners, and herdsmen.</span></p>
Dittmann S., Kiessling T., Knickmeier K., Schönberg J., Brennecke D., Hinzmann M., Knoblauch D., Thiel M., 2024. Temporal variability of litter pollution of rivers in Germany - a long-term assessment by schoolchildren as citizen scientists.
<p>Research data to the manuscript "Temporal variability of litter pollution of rivers in Germany - a long-term assessment by schoolchildren as citizen scientists" by Dittmann et al. 2024.</p> <p> </p> <div> </div>
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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)
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DANDI Archive for NWB datasets
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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.