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26,784 results for “M.”
FIGURE 21. M in Investigation of the distribution patterns in moinids (Crustacea: Cladocera: Moinidae) forming ephippia with two resting eggs
FIGURE 21. M. brachiata (Jurine, 1820) from the central part of Orog-Nur Lake, Mongolia. A–C, Adult parthenogenetic female. D–I, Ephippial female. A, Postabdomen. B, Postabdominal claws in outer and inner views. C, Rows of setules on dorsal portion of postabdomen. D, Antenna I. E, Antenna II. F, Hairs on proximal endopod segment of antenna II. G, Ephippium, lateral view. H–I, Details of limbs structure. Scale bars 0.2 mm for A, E–G, 0.05 mm for B, D, H, 0.02 mm for C, 0.01 mm for I.
V-Wind component at 10-m
Open the record for dataset details and reuse information.
FIGURE 3. A–F Myristica trobogarii Govind & M in Myristica trobogarii (Myristicaceae), a new species from southern Western Ghats, India
FIGURE 3. A–F Myristica trobogarii Govind & M. Dan, sp. nov.; A. Leafy twig with fruits; B. Male flower; C. Female flower; D. Bracteole: adaxial & abaxial view; E. Male flower, androecium exposed; F. Female flower L. S.; G–H Myristica malabarica; G. Male flower, androecium exposed; H. Female flower L.S. Drawn from Govind 81763 by Govind M.G.
FIGURE 2. Mixtecalia teitaensis. A. Habit. B. Leaf. C. Plant with Synflorescence. D. Synflorescence. E. Primary inflorescence corymbiform. F. Involucre. G. Phyllary apex. H. Ovary with pappus. I. Floret., J. Style. K. Dissected floret. L. Anthers. M in Mixtecalia, a new monotypic genus of the subtribe Tussilagininae (Senecioneae, Asteraceae) from the state of Oaxaca, Mexico
FIGURE 2. Mixtecalia teitaensis. A. Habit. B. Leaf. C. Plant with Synflorescence. D. Synflorescence. E. Primary inflorescence corymbiform. F. Involucre. G. Phyllary apex. H. Ovary with pappus. I. Floret., J. Style. K. Dissected floret. L. Anthers. M. Cypselae with pappus.
FIGURE 6. Stenocephalum jucundum. A. Plant. B. Leaf blade apex, higher surface. C. Leaf blade apex, lower face. D. Capitula. E–F. Outer phyllaries. G–H. Middle phyllaries. I–J. Inner phyllaries. K. Cypsela. L. Floret. M in Taxonomic revision of the genus Stenocephalum (Vernonieae, Asteraceae)
FIGURE 6. Stenocephalum jucundum. A. Plant. B. Leaf blade apex, higher surface. C. Leaf blade apex, lower face. D. Capitula. E–F. Outer phyllaries. G–H. Middle phyllaries. I–J. Inner phyllaries. K. Cypsela. L. Floret. M. Corolla lobe apex.
Example view data for running M-VIDIA
We provide three example data for running MVIDIA-DEA (views.zip), MVIDIA-Patient Diagnosis (train.zip, test.zip) and for MVIDIA-Cell Clustering (sc.zip). If each data can only be used for its corresponding task as the data should be organized in the correct formats. Please visit our webserver (http://www.ai4pro.tech:3838/) to learn more about our M-VIDIA.
FIGURE 3. A. M in First record of Monalonion velezangeli (Hemiptera: Miridae) affecting avocado and cherimoya (Annona cherimola) as new hosts in Ecuador
FIGURE 3. A. M. velezangeli adult in vivo. B. Antennae with four segments. C. Rostrum of M. velezangeli with its four segments. D and E. Coloration diversity in the M. velezangeli pronotum (P), scutellum (S). F and G. Coloration diversity in the legs of M. velezangeli and creamy white strip in the middle of the femurs (CWS). H and I. Coloration diversity in forewings in cuneus (Cu) and corium (Co), spots inside (Si) and outside the vein in the membrane (Me).
FIGURE 2. Confirmation test for M in First record of Monalonion velezangeli (Hemiptera: Miridae) affecting avocado and cherimoya (Annona cherimola) as new hosts in Ecuador
FIGURE 2. Confirmation test for M. velezangeli damage in avocado and cherimoya. A. Healthy fruit. B. Fruit confined with an adult M. velezangeli. C. Fruit of 6.3 cm in polar diameter with damage due to the bug's puncture. D. Fruit confined with an adult M. velezangeli. E. Fruit affected by M. velezangeli. F. Fruit with recent pitting (left) and fruit with old pitting (right) and beginnings of a saprophytic fungal infection.
GCL_FCS30: a global coastline dataset with 30-m resolution and a fine classification system from 2010 to 2020
<p><span>A G</span>lobal <span>C</span>oast<span>L</span>ine <span>D</span>ataset (GCL_FCS30) with a detailed classification system, including categories for (0) artificial, (1) biogenic, (2) sandy, (3) muddy, (4) rocky, and (5) estuary coastlines for 2010, 2015, and 2020. The coastline extraction employed a combined algorithm incorporating the Modified Normalized Difference Water Index (MNDWI), an adaptive threshold segmentation method based on the Maximum Between-Class Variance <span>Method </span>(OTSU), and the Canny edge detector. The coastline classification was performed using a hybrid transect classifier that integrates a random forest algorithm with globally stable training samples derived from multi-source geophysical data.</p>
Annual 30 m land cover dataset on the Tibetan Plateau from 1990 to 2023
<p><span>TPLUCD provide</span><span>d</span><span> an annually updated land use and cover dataset for the Tibetan Plateau from 1990 to 2023, with a spatial resolution of 30 m, using the WGS-84 as the spatial reference, and publicly available in GeoTIFF format. The values range</span><span>d</span><span> from 1 to 10, corresponding to the following land use types: 1 for cropland, 2 for forest, 3 for shrubland, 4 for alpine steppe, 5 for alpine meadow, 6 for water bodies, 7 for bare land, 8 for impervious surfaces, 9 for wetlands, and 10 for snow/ice.</span></p>
The data of the mesh used in: Pan M, Zou R, Jüttler B. Algorithms and Data Structures for Cs-smooth RMB-splines of Degree 2s+ 1. Computer Aided Geometric Design, 2024: 102389.
Open the record for dataset details and reuse information.
Fig s 19–22. M in The biology and immature stages of Thrybius togashii Kusigemati (Hymenoptera: Ichneumonidae: Cryptinae), with a description of the male
Fig s 19–22. M ale genitalia of T. togashii. (19) Ventral aspect. (20) Subgenital plate, ventral aspect. (21) R ight paramere, inner aspect. (22) Aedeagus, lateral aspect. Scales: 0.2 mm.
Data from: Isotopic and dietary niches as indicators for resource partitioning in the gleaner bats M. bechsteinii, M. nattereri, and P. auritus
The n-dimensional ecological niche summarizes all living requirements of a species. According to the competition and niche theory, co-occurring species have to differ in at least one dimension to live in stable coexistence. Measuring the overall ecological niche within natural ecosystems is probably impossible but methods that describe several dimensions at once like the isotopic niche are good approximations. However, the impact of each factor contributing to the isotopic niche might be difficult to estimate. The dietary niche, as one part of the isotopic niche, can be examined with high resolution using molecular techniques. In this study we aimed to improve our understanding of species coexistence. We outlined the importance of the isotopic and dietary niches in the context of resource partitioning using the bat species M. bechsteinii, M. nattereri, and P. auritus of the gleaner guild as examples. The dietary and isotopic niches were estimated with stable isotope analysis and molecular fecal analysis. We tested (i) how distinct the occupied dietary niches of members of the same guild are and (ii) how similar the dietary and isotopic niches are to each other. While the inter-specific overlap was high for the dietary niche, no overlap could be observed for the isotopic niche. In general, the isotopic niche can describe a more complete picture of the ecological niche, while the dietary niche provides highly detailed information. The combination of both niches might advance our understanding of stable species coexistences.
Supplementary material 2 from: Hayashi M, Sugiura S (2021) Shell-breaking predation on gastropods by Badister pictus (Coleoptera, Carabidae) with strikingly asymmetric mandibles. In: Spence J, Casale A, Assmann T, Liebherr JК, Penev L (Eds) Systematic Zoology and Biodiversity Science: A tribute to Terry Erwin (1940-2020). ZooKeys 1044: 815-830. https://doi.org/10.3897/zookeys.1044.62293
Table S1. Results of a generalized linear mixed model for effects of shell size, operculum presence, and the interaction on predation by Badister pictus.
Supplementary material 1 from: Jordaens K, Goergen G, Skevington JH, Kelso S, De Meyer M (2021) Revision of the Afrotropical species of the hover fly genus Mesembrius Rondani (Diptera, Syrphidae) using morphological and molecular data. ZooKeys 1046: 1-141. https://doi.org/10.3897/zookeys.1046.57052
Table S1. List of specimens, collection information, DNA voucher codes and GenBank/Barcode of Life Datasystems (BOLD) accession numbers used for the DNA barcode and phylogenetic analyses
FIGURE 14. A–C, G–H, M. abdominalis Ohaus, 1902 in On the genus Mimela Kirby, 1823 (Coleoptera: Scarabaeidae: Rutelinae) from China and adjacent countries, with description of five new species
FIGURE 14. A–C, G–H, M. abdominalis Ohaus, 1902 (Changtongxiang); D–F, I, M. rugicollis Lin, 1966 (D–E, I, Hainan, Mt. Diaoluoshan; F, Hainan, Mt. Jianfengling); A–B, D–E, habitus of male; C, F, habitus of female; G–I, male genitalia; A, D, C, F, dorsal view; B, E, G, lateral view; H, I, frontal view.
FIGURE 1. Kairoa cromeana. Aspect, 4 m in Floristic records from Momase region, Papua New Guinea
FIGURE 1. Kairoa cromeana. Aspect, 4 m shrub at Nasau Bay, Morobe Province (from Takeuchi, Ama & Siga 21778).
FIGURE 1. Bryoerythrophyllum subcaespitosum. A. Habit, dry. B–D. Leaves. E. Perichaetial leaf. F. Leaf apex. G. Basal laminal cells. H. Perichaetial leaf margin. I. Upper laminal cells. J–M in Bryoerythrophyllum subcaespitosum (Pottiaceae), a new combination for a neglected species from South America
FIGURE 1. Bryoerythrophyllum subcaespitosum. A. Habit, dry. B–D. Leaves. E. Perichaetial leaf. F. Leaf apex. G. Basal laminal cells. H. Perichaetial leaf margin. I. Upper laminal cells. J–M. Cross-sections of the leaf. N. Peristome. O. Cross-section of stem. Scale bars: A = 0.1 cm. B–E = 0.2 mm. F, H, N = 50 µm. G = 60 µm. I = 20 µm. J, K, L, M = 40 µm. O = 25 µm. A–C, F, G, I–M, O from Cano et al. 5149, MUB; D, E, H, N from Lindig 2008, BM.
FIGURE 11 A–M in Phenotypic studies on terrestrial stigonematacean Cyanobacteria from the Atlantic Rainforest, São Paulo State, Brazil
FIGURE 11 A–M: Stigonema corticola. A: General aspect of a thallus. B, C: Branched filaments. D: Young filament. E: Branches with agglomerated cells. F–H: Details of apex. I: Filament with a lateral heterocyte. J: Detail of a multiseriate filament. K: Initial stages of branching near the apex. L: Formation of hormogonium. M: Apex after releasing hormogonium. Scales: 10 µm in A (use for A, E), B (use for B–D), F (use for F–H), I and J (use for J–M).
FIGURE 1. Juncus kuohii M.-J in Juncus kuohii (Juncaceae), a new species from Taiwan
FIGURE 1. Juncus kuohii M.-J. Jung (from the holotype). A. Habit. B. Part of leaf sheath and blade base, showing the auricle, lateral view. C. Head. D. Bracteole. E. Flower with pedicel, lateral view. F. Outer tepal. G. Inner tepal. H. Anther. I. Pistil. J. Cross section of ovary. (drawn by M.-J. Jung)
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.