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49 results for “live observations”
Leaf moisture content (live-fuel moisture content) at global scale from passive microwave satellite observations of vegetation optical depth (VOD2LFMC)
<p><strong>Related paper:</strong> <a href="https://hess.copernicus.org/preprints/hess-2022-121/">Forkel et al. (2022)</a></p> <p>The VOD2LFMC dataset contains estimates of leaf moisture content as defined as live-fuel moisture content (LFMC) derived from passive microwave satellite observation of vegetation optical depth (VOD). LFMC is defined as the fresh mass of a leaf over the dry mass and is expressed in %:</p> <p><span class="math-tex">\(LFMC = {m_{fresh}-m_{dry}\over m_{dry}}*100\%\)</span></p> <p>LFMC was estimated from the <a href="https://doi.org/10.5281/zenodo.2575599">VODCA version 1</a> dataset of Ku-band VOD using the model approach “B” as described in Forkel et al. (2022).</p> <p>The file VOD2LFMC-B_v01_2000-2017.zip contains (unzipped ~ 57 GB):</p> <ul> <li>daily global data per month netCDF files</li> <li>a README file</li> <li>Ancillary file VOD2LFMC-B_v01_support-by-obs.nc</li> </ul> <p>Grid, time and variable definitions:</p> <ul> <li> <p>Grid-name: Geographic Lat/Lon</p> </li> <li> <p>Pixel-size: 1/4 degrees</p> </li> <li> <p>Size-x: 1440</p> </li> <li> <p>Size-y: 557</p> </li> <li> <p>Time period: February 2000 – July 2017</p> </li> <li> <p>Temporal resolution: daily</p> </li> <li> <p>Variable: Live-fuel moisture content (LFMC) in %</p> </li> <li> <p>Valid-range: 0-400%</p> </li> </ul> <p> </p>
Figs 16–21 in Redescription of Strombidium coronatum (Leegaard, 1915) Kahl, 1932 (Ciliophora, Spirotricha) based on live observation, protargol impregnation, and scanning electron microscopy
Figs 16–21. Strombidium coronatum, Irish Sea specimens (16–18, scanning electron micrographs; 19–21, protargol impregnation, micrographs of several focal planes were stacked, using the computer program CombineZP from Alan Hadley). 16 – ventrolateral view; 17 – left lateral view showing uniquely shaped peristome, which is roughly triangular in outline and almost flat, extending in the sagittal plane. The extrusomes insert in short oblique rows anteriorly to the girdle kinety; note that some of them are just ejected (arrowhead); 18 – posterior cell portion showing the sharp, longitudinal ridges that have already been illustrated in the original description by Leegaard (1915); 19 – left lateral view of an early divider; 20 – dorsolateral view of an early divider; 21 – ventrolateral view. AP – apical protrusion, BM – buccal membranelles, CM – collar membranelles, DC – distended cell surface, EX – extrusome attachment sites, GK – girdle kinety, MA – macronucleus, OP – oral primordium, VK – ventral kinety. Scale bars: 40 µm (16), 20 µm (17, 19–21), and 10 µm (18).
Fig. 9 in Freshwater bryozoans of Korea-observations on living colonies and three new records
Fig. 9. Plumatella rugosa Wood, Wood, Geimer and Massard, 1988. A, Colony (white arrow); B, Dorsal view, flatoblast; C, Ventral view, flatoblast; D, Enlarged view of the annulus and fenestra in C. Scale bars: B, C = 100 μm, D = 30 μm.
Fig. 8 in Freshwater bryozoans of Korea-observations on living colonies and three new records
Fig. 8. Plumatella repens (Linnaeus, 1758). A, Ventral, flatoblast; B, C, Enlarged view of the annulus and fenestra in A; D, Annulus. Scale bars: A = 100 μm, B = 50 μm, C, D = 10 μm.
Fig. 7. Plumatella reticulata Wood 1988. A in Freshwater bryozoans of Korea-observations on living colonies and three new records
Fig. 7. Plumatella reticulata Wood 1988. A, Sessoblasts; B, Reticulated irregular ridges on the frontal fenestra of A; C, Annulus; D, Lateral wall, sessoblast. Scale bars: A = 100 μm, B, C = 50 μm, D = 30 μm.
Fig. 4 in Freshwater bryozoans of Korea-observations on living colonies and three new records
Fig. 4. Hyalinella punctata (Hancock, 1850). A, Habitat, paddlewheel (white arrows: colonies); B, Tentacles; C, Floatoblast, young floatoblast in zooid. Scale bars: A = 2 cm, B = 500 μm, C = 300 μm.
Fig. 5. Plumatella casmiana Oka, 1907. A in Freshwater bryozoans of Korea-observations on living colonies and three new records
Fig. 5. Plumatella casmiana Oka, 1907. A, Colony (white arrow); B, Leptoblast; C, Dorsal view, Sessoblast; D, Lateral view, sessoblast. Scale bars: A= 2 mm, B-D = 100 μm.
Fig. 2 in Freshwater bryozoans of Korea-observations on living colonies and three new records
Fig. 2. Lophopodella carteri (Hyatt, 1866). A, Colony (white arrow); B, Floatoblast. Scale bars: A = 3 mm, B = 500 μm.
Fig. 1. Map showing the sampling localities from 2014 in Freshwater bryozoans of Korea-observations on living colonies and three new records
Fig. 1. Map showing the sampling localities from 2014 to 2016. 1, Hyangho Reservoir; 2, Sunpo Wetland; 3, Maok Reservoir; 4, Banbyeon Stream; 5, Sangju Weir; 6, Nakdan Weir; 7, Chilgok Weir; 8, Samunjin Bridge; 9, Dalseong Weir; 10, Hapcheon-Changnyeong Weir; 11, Changnyeong-Haman Weir; 12, Namji Bridge; 13, Ojori Pond; 14, Wonmul Pond; 15, Geumoreum; 16, Sasaengi Pond; 17, Suwori Pond; 18, Bungurut Pond; 19, Yongsu Reservoir; 20, Susan Reservoir; 21, Songhyeon Reservoir; 22, Jogang Reservoir; 23, Juksan Weir; 24, Yeongsan River; 25, Seungchon Weir; 26, Cheongam Pond; 27, Gwangju Reservoir; 28, Dongrim Reservoir; 29, Aedang Reservoir; 30, Andeok Reservoir; 31, Chongho Reservoir; 32, Mangyeong Stream; 33, Mangyeong River; 34, Daewi Reservoir; 35, Wonsu Reservoir; 36, Geumma Reservoir; 37, Dochon Reservoir; 38, Sungrim Reservoir; 39, Seoji Reservoir; 40, Geumgang Estuary; 41, Heungrim Reservoir; 42, Bongseon Reservoir; 43, Ungpo Bridge; 44, Mujigae Bridge; 45, Tapjeong Reservoir; 46, Hwangsan Bridge; 47, Juhang Reservoir; 48, Bocheong Stream; 49, Daecheong Reservoir; 50, Gap Stream; 51, Sejong Weir; 52, Daegyo Stream; 53, Gongju Weir; 54, Bakje Weir; 55, Changgi Reservoir; 56, Suryong Reservoir; 57, Malli Reservoir; 58, Jakcheon Reservoir; 59, Nongdari Stone Bridge; 60, Chopyeong Reservoir; 61, Baekgok Stream; 62, Miho Stream; 63, Baekgok Reservoir; 64, Daetgol Reservoir; 65, Chungju Reservoir; 66, Mungwang Reservoir; 67, Gwanghyewon Reservoir; 68, Gangcheon Weir; 69, Yeoju Weir; 70, Ipo Weir.
EMAC-L90MA-SD output used in "Stratospheric Injection of Brominated Very Short-Lived Substances: Aircraft Observations in the Western Pacific and Representation in Global Models"
<p>Output of halocarbons, inorganic bromine, and tropopause pressure from EMAC-L90MA-SD used in:</p> <p>Wales et al., Stratospheric Injection of Brominated Very Short-Lived Substances: Aircraft Observations in the Western Pacific and Representation in Global Models." <em>Journal of Geophysical Research: Atmospheres,</em> (2018).</p> <p>The EMAC-L90MA-SD simulation uses ERA-Interim meteorology and was prepared according to: </p> <p>Jöckel, P., Tost, H., Pozzer, A., Kunze, M., Kirner, O., Brenninkmeijer, C. A. M., Brinkop, S., Cai, D. S., Dyroff, C., Eckstein, J., Frank, F., Garny, H., Gottschaldt, K.-D., Graf, P., Grewe, V., Kerkweg, A., Kern, B., Matthes, S., Mertens, M., Meul, S., Neumaier, M., Nützel, M., Oberländer-Hayn, S., Ruhnke, R., Runde, T., Sander, R., Scharffe, D., & Zahn, A.: Earth System Chemistry integrated Modelling (ESCiMo) with the Modular Earth Submodel System (MESSy) version 2.51, <em>Geoscientific Model Development</em>, 9, 1153–1200, doi: 10.5194/gmd-9-1153-2016, URL <a href="http://www.geosci-model-dev.net/9/1153/2016/">http://www.geosci-model-dev.net/9/1153/2016/</a> (2016)</p> <p>For further details, please contact Patrick Joeckel (Patrick.Joeckel@dlr.de) and Phoebe Graf (Phoebe.Graf@dlr.de)</p>
Live Magnetic Observation of Parahydrogen Hyperpolarization Dynamics
<p>The entry contains numerical data files, processing code (Wolfram Mathematica) and simulation code (Wolfram Mathematica running the 'SpinDynamica' packages) to generate Figures 1 to 6 of the manuscript titled above, arXiv preprint: <a href="https://arxiv.org/abs/2402.10766">https://arxiv.org/abs/2402.10766</a>. A PDF export of the Mathematica code is also provided.</p> <p><strong>Authors: </strong><a href="https://arxiv.org/search/physics?searchtype=author&query=Eills,+J">James Eills</a>, <a href="https://arxiv.org/search/physics?searchtype=author&query=Mitchell,+M+W">Morgan W. Mitchell</a>, <a href="https://arxiv.org/search/physics?searchtype=author&query=Rius,+I+M">Irene Marco Rius</a>, <a href="https://arxiv.org/search/physics?searchtype=author&query=Tayler,+M+C+D">Michael C. D. Tayler</a></p> <p><strong>Abstract:</strong> Hyperpolarized nuclear spins in molecules exhibit high magnetization that is unachievable by classical polarization techniques, making them widely used as sensors in physics, chemistry, and medicine. The state of a hyperpolarized material, however, is typically only studied indirectly and with partial destruction of magnetization, due to the nature of conventional detection by resonant-pickup nuclear magnetic resonance spectroscopy or imaging. Here we establish atomic magnetometers with sub-pT sensitivity as an use an alternative modality to detect <em>in real time</em> the complex dynamics of hyperpolarized materials without disturbing or interrupting the magnetogenesis process. As an example of dynamics that are impossible to detect in real time by conventional means, we examine parahydrogen-induced 1H and 13C magnetization during adiabatic eigenbasis transformations at μT-field avoided crossings. Continuous but nondestructive magnetometry reveals previously unseen spin dynamics, fidelity limits, and magnetization back-action effects. As a second example, we apply magnetometry to observe the chemical-exchange-driven 13C hyperpolarization of [1-13C]-pyruvate — the most important spin tracer for clinical metabolic imaging. The approach can be readily combined with other high-sensitivity magnetometers and is applicable to a broader range of general observation scenarios involving production, transport and systems interaction of hyperpolarized compounds.</p>
Prediction of Individual Autism Diagnostic Observation Schedule (ADOS) scores based on neural responses during live eye-to-eye contact
<p>Social difficulties are impactful in autism spectrum disorder (ASD), and links between these difficulties and underlying neural processes are active research questions. We present a multivariate classification method for neural data acquired from 36 participants during a live eye-to-eye contact task. Participants were either typically developed (TD) or diagnosed as ASD through gold-standard Autism Diagnostic Observation Schedule (ADOS) evaluation. We hypothesized multivariate classification could discriminate TD vs. ASD based on neural responses. Support vector machine (SVM) classification was able to discriminate between groups during the eye-contact interaction. In addition, it was found that underlying neural patterns contributing to binary classification also predicted measured ADOS scores with high correlation even though ADOS scores were not used for training. The correlation between observed and predicted ADOS scores was 0.72 (p < 0.002) for eye-to-eye contact. These findings suggest neural responses to live eye-to-eye contact are predictive of social symptomatology in ASD.</p>
Prediction of Individual Autism Diagnostic Observation Schedule (ADOS) scores based on neural responses during live eye-to-eye contact
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Observation of RNA polymerase clusters in a live zebrafish embryo
<p>Data showing the distribution of RNA polymerase II with serine 5 phosphorylation in the C-terminal domain (CTD) of the subunit 1 (Pol II Ser5P) in a live zebrafish embryo. Images were acquired by instant-SIM microscopy, Pol II Ser5P was marked by fluorescently labeled antibody fragments (Fab) provided by the laboratory of Hiroshi Kimura, Tokyo Institute of Technology. Data were processed using FIJI.</p>
FIGURE 14. Walkeria prorepens Kubanin, 1992 in Korean ctenostome bryozoans-observations on living colonies, new records, five new species, and an updated checklist
FIGURE 14. Walkeria prorepens Kubanin, 1992, Seongsan port, Jeju Island (MBRBK1705). A. Serpulid polychaete tube encrusted on inner side by small Walkeria colony. B. Close-up of small part of A, showing cluster of zooids. C. Live colony around in hole in substratum, showing a single expanded tentacle crown with eight tentacles. D. Two campylonemidan tentacle crowns of zooids inside hole. E. Part of colony viewed from above to show stolon, kenozooids and zooids. Scale bar: E = 0.20 m.
FIGURE 15 in Korean ctenostome bryozoans-observations on living colonies, new records, five new species, and an updated checklist
FIGURE 15. Bantariella verticillata (Heller, 1867), Cheongpodae, photographed live, specimen not preserved. A. Live colony on an intertidal stone. B. Campylonemidan tentacle crown with six tentacles forming a scoop shape and two angled away. C. Branching stolons and clusters of two to four zooids.
FIGURE 11 in Korean ctenostome bryozoans-observations on living colonies, new records, five new species, and an updated checklist
FIGURE 11. Resin casts of Immergentia cheongpodensis n. sp. and Penetrantia taeanata n. sp. growing together at Cheongpodae. A. Resin cast showing mostly Penetrantia stolons and zooids, with those of Immergentia more apparent in the lower right quadrant. B. Close-up of crossing stolons, those of Penetrantia thicker and closer to the shell surface, with a broken zooid clearly with a peduncle, whereas the stolon of Immergentia runs across (beneath, in life orientation) a trifurcation in the Penetrantia colony. Scale bars: A = 0.50 mm; B = 0.10 mm.
FIGURE 6. Alcyonidium busanensis n in Korean ctenostome bryozoans-observations on living colonies, new records, five new species, and an updated checklist
FIGURE 6. Alcyonidium busanensis n. sp., Namuseom Island, South Sea (MBRBKH6). A. Larvae being liberated from zooids. B. Ciliated larva. C–H. Compound-microscope images of living and preserved material. C. Cluster of developing embryos and larvae, removed from zooid. D. A ciliated larva and a developing embryo. E. Embryo magnified. F. Part of branch surface showing autozooids and kenozooids. G. Autozooids in partial side view showing small orifices. H. Retracted polypide. Scale bars: A = 4 mm; B = 0.60 mm; C–E = 0.20 mm; F = 0.44 mm; G = 0.30 mm; H = 0.14 mm.
FIGURE 18. Amathia medullaris Mawatari, 1972 in Korean ctenostome bryozoans-observations on living colonies, new records, five new species, and an updated checklist
FIGURE 18. Amathia medullaris Mawatari, 1972 (MBRBK1708). A. Portion of a live colony encrusting the alga Stephanocystis hakodatense. B. Cluster of zooids, many containing yellow embryos. C. Another view of live colony on alga with expanded (10-tentacled) tentacle crowns. D. Closely spaced squat zooids, with developing embryos. E. View of growing tip of a colony, with zooids aligned on stolon, but not massively clustered as in older areas of colony. F. Compound-microscope view of retracted zooids showing walls of tubes and part of a setigerous collar. G. More-magnified view of two zooids, both brooding embryos. Scale bars: B, E = 0.30 mm; D = 0.13 mm; G = 0.15 mm.
FIGURE 5. Alcyonidium busanensis n in Korean ctenostome bryozoans-observations on living colonies, new records, five new species, and an updated checklist
FIGURE 5. Alcyonidium busanensis n. sp., Namuseom Island, South Sea (MBRBKH6). A. Live colony removed from fishing net. B. Another live colony showing branching pattern. C. Branch of live colony showing orange clusters of developing embryos inside some zooids. D. Colony surface showing zooid outlines, relatively small orifices, and clusters of embryos. Scale bars: A = 5 cm; C = 3 mm; D = 0.65 mm.
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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
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