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19,293 results for “western”
WRF output for the Geophysical Research Letters publication "Potential Impacts of Radio Occultation Data Assimilation on Forecast Skill of Tropical Cyclone Formation in the Western North Pacific"
<p>This dataset is the Weather Research and Forecasting (WRF) model output for the <em>Geophysical Research Letters</em> publication entitled "Potential Impacts of Radio Occultation Data Assimilation on Forecast Skill of Tropical Cyclone Formation in the Western North Pacific". The dataset includes the azimuthal-averaged parameters with 0.2°resolution, three-day forecast, and two experiments for all cases analyzed in the publication. Due to the data size, only the variables used in the figures are uploaded (i.e., relative humidity, relative vorticity, temperature, and water vapor mixing ratio). Detailed information, composite calculation, and model settings can be found in the publication.</p>
Dataset for "Terrane collision-induced subduction initiation: Mode selection and implications for western Pacific subduction system"
<p>Numerical results for "<strong>Terrane collision-induced subduction initiation: Mode selection and implications for western Pacific subduction system</strong>".</p>
Data set: historical and ethno-linguistic maps covering Western Tigray (1607-2014)
<p>Excerpts of 142 co-eval historical and ethno-linguistic maps covering Western Tigray (Ethiopia).</p> <p>Original data, used to prepare the article</p> <p>Nyssen, J., Biadgilgn Demissie, 2023. Administrative and ethno-linguistic boundaries of Western Tigray (Ethiopia) since 1683. Journal of Maps.</p>
Fig. 2 in First Records of a Rare Deep-sea Anglerfish, Himantolophus azurlucens, from the Western North Pacific, with Comments on the DNA Barcodes of the Genus (Lophiiformes: Himantolophidae)
Fig. 2. Neighbor-joining tree based on sequence variations of the partial mitochondrial DNA COI gene and escal appendages of representative specimens. Sequences indicated by catalog numbers of specimens (determined here in bold italic) or INSDIC/BOLD registration numbers (determined in previous studies—see Table 1). Numbers at branches indicate bootstrap probabilities following 1000 bootstrap replications. Scale bar equals 0.01 of uncorrected p-distance. Photos were provided by the CSIRO Australian National Fish Collection (CSIRO specimens) and A. L. Stewart (NMNZ specimens).
Fig. 1. Himantolophus azurlucens, FAKU 148811, 163.7 in First Records of a Rare Deep-sea Anglerfish, Himantolophus azurlucens, from the Western North Pacific, with Comments on the DNA Barcodes of the Genus (Lophiiformes: Himantolophidae)
Fig. 1. Himantolophus azurlucens, FAKU 148811, 163.7 mm SL, female (A, C) and FAKU 149087, 200.7 mm SL, female (B, D). A, B, Fresh specimens; C, D, illicial apparatus.
Text-fig. 1. Lithostratigraphic scheme for Most Basin (edited according to Kvaček et al. 2019 and Hilgen et al. 2012) with fossiliferous horizons of Holešice and Libkovice members in its west part. Stratigraphic position of fish remnants is highlighted. in New Ichthyofauna From The Holešice And Libkovice Members In The Western Part Of Most Basin (Early Miocene), The Czech Republic
Text-fig. 1. Lithostratigraphic scheme for Most Basin (edited according to Kvaček et al. 2019 and Hilgen et al. 2012) with fossiliferous horizons of Holešice and Libkovice members in its west part. Stratigraphic position of fish remnants is highlighted.
Western Florida Panhandle Electric Transmission Grid Substations, Lines, and Towers
<p>The upload consists of 5 different datasets pertaining to the electric transmission grid in the nine counties of the western Florida Panhandle. The area largely coincides with the former operation area of the Gulf Power Company (GPCO) but is not limited to this utility. The five datasets describe the substations, lines, and transmission towers of the grid. The data were created and validated through a variety of datasets from the utility, national data, and state-level information. In total, 195 substations, 1800 miles of transmission lines, and over 18,000 transmission towers were cataloged and described spatially in the data. The spatial files are uploaded as feature classes within a ArcGIS geodatabase. Three metadata files are provided, one each for substations, transmission lines, and transmission towers, which describe the process and sources for creating each data as well as a detailed list of all fields in the files.</p>
Data from: Non-breeding sites, loop migration and activity patterns over the annual cycle in the Lesser Grey Shrike Lanius minor from a western edge of its range
<p>Raw data from three tracked individuals. Two were tracked with light geolocators (22UL and an incomplete track of 22UH) and one (16KN) with GDL3-PAM multi-sensor logger. All produced by Swisss Ornithological Insitute.</p>
Data and code from: Shifting social-ecological fire regimes explain increasing structure loss from Western wildfires
<p class="MsoNormal"><span>Higuera, P.E., M.C. Cook, J.K. Balch, E.N. Stavros, A.L. Mahood, and L.A. St. Denis. 2023. Shifting social-ecological fire regimes explain increasing structure loss from Western wildfires. PNAS Nexus 2: In Press.</span></p> <p class="MsoNormal"><span>Structure loss is an acute, costly impact of the wildfire crisis in the western United States ("West"), motivating the need to understand recent trends and causes. We document a 246% rise in West-wide structure loss from wildfires between 1999–2009 and 2010–2020, driven strongly by events in 2017, 2018, and 2020. Increased structure loss was not due to increased area burned alone. Wildfires became significantly more destructive, with a 160% higher structure loss rate (loss/kha burned) over the past decade. Structure loss was driven primarily by wildfires from unplanned human-related ignitions (e.g. backyard burning, power lines, etc.), which accounted for 76% of all structure loss and resulted in 10 times more structures destroyed per unit area burned compared to lightning-ignited fires. Annual structure loss was well explained by area burned from human-related ignitions, while decadal structure loss was explained by state-level structure abundance in flammable vegetation. Both predictors increased over recent decades and likely interacted with increased fuel aridity to drive structure-loss trends. While states are diverse in patterns and trends, nearly all experienced more burning from human-related ignitions and/or higher structure loss rates, particularly California, Washington, and Oregon. Our findings highlight how fire regimes – characteristics of fire over space and time – are fundamentally social-ecological phenomena. By resolving the diversity of Western fire regimes, our work informs regionally appropriate mitigation and adaptation strategies. With millions of structures with high fire risk, reducing human-related ignitions and rethinking how we build are critical for preventing future wildfire disasters.</span></p>
Fig. 14 in Six new and four known species of the genus Axonchium Cobb, 1920 (Nematoda: Dorylaimida: Belondiroidea) from the Western Ghats of India
Fig. 14. Axonchium tropicum sp. nov. (LM photographs). A. Paratype 2, ♀ (slide 2). B–G, L. Holotype, ♀ (AMU/ZD/Axonchium tropicum sp. nov. /1). H–K. Paratype 1, ♂ (slide 2). A. Anterior region. B. Anterior end showing amphid. C. Junction between two parts of pharynx. D. Cardia. E. Vulva and vagina. F–G. Genital branches. H. Ventromedian supplements. I. Lateral guiding pieces. J. Male posterior region and spicule. K. Spicule with arrow indicating its distal end. L. Female posterior region. Scale bars: A–E, I–L =10 µm; F–H = 20 µm.
Fig. 10 in Six new and four known species of the genus Axonchium Cobb, 1920 (Nematoda: Dorylaimida: Belondiroidea) from the Western Ghats of India
Fig. 10. Axonchium nilgiriense sp. nov. (LM photographs). A–D. Paratype ♀, (slide 2). E. Paratype 4, ♀. I–K. Paratype 5, ♂ (slide 4). F–H, L. Paratype 6, ♀ (slide 5). A. Anterior region. B. Anterior end showing amphid. C. Junction between two parts of the pharynx. D. Cardia. E–F. Vulva and vagina. G– H. Female genital branches. I. Male posterior end. J. Arrow indicating lateral guiding piece. K. Arrows indicating ventromedian supplements. L. Female posterior end. Scale bars = 10 µm.
Fig. 1. Axonchium nitidum Jairajpuri, 1964 in Six new and four known species of the genus Axonchium Cobb, 1920 (Nematoda: Dorylaimida: Belondiroidea) from the Western Ghats of India
Fig. 1. Axonchium nitidum Jairajpuri, 1964 (LM photographs). A. Anterior region. B. Anterior end showing amphid. C. Junction between two parts of pharynx. D. Cardia. E–F. Female vulva and vagina. G. Female genital branch. H. Female posterior region. Scale bars: A–F, H = 10 µm; G = 20 µm.
Fig. 6 in Six new and four known species of the genus Axonchium Cobb, 1920 (Nematoda: Dorylaimida: Belondiroidea) from the Western Ghats of India
Fig. 6. Axonchium indicum sp. nov. (LM photographs). A–B. Paratype 2, ♀ (slide 2). C–I. Paratype 6, ♀ (slide 4). A. Anterior region. B. Anterior end showing amphid. C. Pharynx. D. Junction between two parts of the pharynx. E. Cardia. F. Vulva. G. Anterior uterine sac. H. Posterior genital branch. I. Posterior region. Scale bars: A–B, D–I = 10 µm; C = 20 µm.
Fig. 7 in Six new and four known species of the genus Axonchium Cobb, 1920 (Nematoda: Dorylaimida: Belondiroidea) from the Western Ghats of India
Fig. 7. Axonchium microspiculum sp. nov. A, C–H, K. Holotype, ♀ (slide 1). B, I–J. Paratype 4, ♂ (slide 2). A. Entire female. B. Entire male. C. Anterior region. D. Anterior end showing amphid. E. Junction between anterior slender and posterior expanded part of pharynx. F. Cardia. G. Female genital system. H. Vulva. I. Male posterior region. J. Spicule and lateral guiding piece. K. Female posterior end.
Fig. 3. Axonchium transkeiense Nair, 1973 in Six new and four known species of the genus Axonchium Cobb, 1920 (Nematoda: Dorylaimida: Belondiroidea) from the Western Ghats of India
Fig. 3. Axonchium transkeiense Nair, 1973 (LM photographs). A. Anterior region. B. Anterior end showing amphid. C. Junction between two parts of pharynx. D. Cardia. E. Vulva and vagina. F. Female genital branches. G. Ventromedian supplement series. H. Male posterior end. I. Lateral guiding piece. J. Arrow indicating sac-like structure in the male posterior region. K. Female posterior end. Scale bars: A–E, H–K =10 µm; F = 50 µm; G = 20 µm.
Fig. 13 in Six new and four known species of the genus Axonchium Cobb, 1920 (Nematoda: Dorylaimida: Belondiroidea) from the Western Ghats of India
Fig. 13. Axonchium tropicum sp. nov. A, D–H, L. Holotype, ♀ (AMU/ZD/Axonchium tropicum sp. nov. /1). B, I–K. Paratype 1, ♂ (slide 2). C. Paratype 2, ♀ (slide 2). A. Entire female. B. Entire male. C. Anterior region. D. Anterior end showing amphid. E. Junction between anterior slender and posterior expanded part of pharynx. F. Cardia. G. Vulva. H. Female genital system. I. Male posterior region. J. Spicule. K. Lateral guiding pieces. L. Female posterior end.
Fig. 5 in Six new and four known species of the genus Axonchium Cobb, 1920 (Nematoda: Dorylaimida: Belondiroidea) from the Western Ghats of India
Fig. 5. Axonchium indicum sp. nov. A –C. Paratype 2, ♀ (slide 2). D–H. Paratype 6, ♀ (slide 4). A. Entire body. B. Anterior region. C. Anterior end showing amphid. D. Junction between anterior slender and posterior expanded part of pharynx. E. Cardia. F. Female genital system. G. Vulva. H. Female posterior region.
Fig. 12 in Six new and four known species of the genus Axonchium Cobb, 1920 (Nematoda: Dorylaimida: Belondiroidea) from the Western Ghats of India
Fig. 12. Axonchium paracingulatum sp. nov. (LM photographs). A–G, K. Paratype 3, ♀ (slide 3). H– J. Paratype 2, ♂ (slide 2). A. Anterior region. B. Anterior end showing amphid. C. Junction between two parts of the pharynx. D. Cardia. E. Vulva and vagina. F–G. Female genital branches. H. Ventromedian supplements. I. Male posterior end. J. Arrow indicating lateral guiding piece and distal end of spicule. K. Female posterior end. Scale bars: A–E, I–K = 10 µm; F–G = 20 µm; H = 50 µm.
Fig. 4 in Six new and four known species of the genus Axonchium Cobb, 1920 (Nematoda: Dorylaimida: Belondiroidea) from the Western Ghats of India
Fig. 4. Axonchium vallum Ahmad & Jairajpuri, 1982 (LM photographs). A. Anterior region. B. Anterior region showing amphid. C. Junction between two parts of pharynx. D. Cardia. E. Vulva and vagina. F–G. Female genital branches. H. Ventromedian supplements. I. Lateral glandular bodies. J. Male posterior end. K. Lateral guiding piece. L. Female posterior end. Scale bars: A–E, I–L = 10 µm; F–G = 50 µm; H = 20 µm.
Fig. 16 in Six new and four known species of the genus Axonchium Cobb, 1920 (Nematoda: Dorylaimida: Belondiroidea) from the Western Ghats of India
Fig. 16. Axonchium uniqum sp. nov. (LM photographs). A–B, E, L. Holotype, ♀ (AMU/ZD/Axonchium uniqum sp. nov. /1). C–D, F–G. Paratype 2, ♀ (slide 3). H–K. Paratype 3, ♂ (slide 3). A. Anterior region. B. Anterior end showing amphid. C. Junction between anterior and posterior expanded part of the pharynx. D. Cardia. E. Vulva and vagina. F–G. Female genital branches. H. Ventromedian supplements. I. Arrows indicating ventromedian supplements beginning. J. Male posterior end. K. Spicule and lateral guiding piece. L. Female posterior end. Scale bars: A–E, I–L = 10 µm; F–H = 20 µm.
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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.