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94 results for “3-D model”
CSRM-derived: A 3-D crustal composition model in continental China
<p>This dataset contains a three-dimensional crustal composition model of the SiO2 content in the crustal bedrocks beneath continental China, derived from the <strong>CSRM-1.0 </strong>(<strong><a href="https://doi.org/10.5281/zenodo.11098135">model link</a></strong>)<strong>. </strong>The spatial resolution of the composition model is <strong>~60</strong> km in the north-south seismic belt and trans-North China Orogen, and <strong>~120</strong> km in the rest of the continental China.<strong> </strong>This composition model results from a project of constructing the high-resolution China Seismological Reference Model (<strong>CSRM-1.0</strong>) in the top 100 km of the crust and uppermost mantle in continental China (<a href="https://doi.org/10.1029/2024JB029520">Xiao et al, JGR, 2024</a>).</p> <p>本数据库包含了利用 CSRM-1.0(<a href="https://doi.org/10.5281/zenodo.11098135">模型链接</a>)估算的中国大陆区域地壳内不同深度岩石内二氧化硅含量的模型。该模型在南北地震带和华北造山带的分辨率约为 <strong>60</strong> km,在中国大陆的其他区域约为 <strong>120</strong> km。该成分模型源于构建中国大陆区域高精度地壳和上地幔顶部 100 公里三维地震学模型 (<strong>CSRM-1.0</strong>) 的工作 (<a href="https://doi.org/10.1029/2024JB029520">Xiao et al, JGR, 2024</a>) 。</p>
3-D Crustal Vp, Vs, Vp/Vs models around the Huoshan earthquake swarm (霍山震群区三维地壳速度与纵横波速度比模型)
<p>3-D Crustal Vp, Vs, Vp/Vs models around the Huoshan earthquake swarm with a grid spacing of 0.33deg*0.33deg.</p> <p>The data format follows "longitude, latitude, depth, Vp, Vp average, Vp perturbation, Vs, Vs average, Vs perturbation".</p> <p>霍山震群区三维地壳速度与纵横波速度比模型,网格间距为0.33°×0.33°。</p> <p>数据格式如下:“经度 纬度 深度 P波绝对速度 P波平均速度 P波速度扰动 S波绝对速度 S波平均速度 S波速度扰动 纵横波速度比”。</p> <p> </p>
Weights for calculation of magnetic field at INTERMAGNET observatories for 3-D conductivity model of the Earth in the time domain
<p>Weights are calculated with time step of 1 hour and memory of 4320 hours for two cases.</p> <ol> <li>The source is parametrized by spherical harmonics up to degree 4 (<a href="../api/records/12802448/draft/files/MB_SHS_modes_up_to_24_at_obs.h5/content" target="_blank" rel="noopener noreferrer">MB_SHS_modes_up_to_24_at_obs.h5</a> )</li> <li>The source is parametrized by so-called periodic modes, obtained from the output of TIEGCM (<a href="../api/records/12802448/draft/files/MB_periodic_modes_16_24_at_obs.h5/content" target="_blank" rel="noopener noreferrer">MB_periodic_modes_16_24_at_obs.h5)</a></li> </ol> <p>The detailed desciption of the weights meaning and calculation can be found in Kruglyakov & Kuvshinov, 2024.</p> <ul> <li>Datasets M_B_r stand for radial (upward) component of the magnetic field at the ground;</li> <li>Datasets M_B_theta stand for southward component of the magnetic field at the ground;</li> <li>Datasets M_B_phi stand for eastward component of the magnetic field at the ground;</li> <li>Datasets Theta stand for the co-latitudes of the observatories in the geo-centric cooridnate system</li> <li>Datasets Phi stand for the longitudes of the observatories in the geo-centric cooridnate system</li> </ul> <p> </p>
A 3-D kinematic ThermoMechanical model of the Central Andes Subduction Zone at 18°-26°S.
<p>These files contain physical parameters obtained with the preferred thermomechanical model presented in the paper:</p> <p><strong>J. Araya Vargas, J. Sanhueza & G. Yáñez (2021). The role of temperature in the along-margin distribution of volcanism and seismicity in subduction zones: insights from 3-D thermomechanical modelling of the Central Andean margin. Tectonics, 40(11), e2021TC006879. 10.1029/2021TC006879</strong></p> <p>The README file contains a description of the files, coordinate reference system, and a summary of the modeling setup. The detailed description of the employed thermomechanical modeling methodology is provided in the main text and Supporting Information of Araya Vargas, Sanhueza & Yáñez (2021).</p> <p>FILES:</p> <p>SZAndes18s26sTMmodel_temp.csv: whole model temperature<br> SZAndes18s26sTMmodel_dP.csv: mantle flow dynamic pressure.<br> SZAndes18s26sTMmodel_vx.csv: mantle flow velocity, X-axis component.<br> SZAndes18s26sTMmodel_vy.csv: mantle flow velocity, Y-axis component.<br> SZAndes18s26sTMmodel_vz.csv: mantle flow velocity, Z-axis component.</p> <p>DATABASES FIELDS:<br> pMPa = mantle flow dynamic pressure [MPa].<br> tempC = whole model temperature [°C].<br> VXmmyr = mantle flow velocity, X-axis component [mm/yr].<br> VYmmyr = mantle flow velocity, Y-axis component [mm/yr].<br> VZmmyr = mantle flow velocity, Z-axis component [mm/yr].<br> Xkm = X-axis position [km]. World Mercator coordinate system [EPSG code: 54004].<br> Ykm = Y-axis position [km]. World Mercator coordinate system [EPSG code: 54004].<br> Zkm = Z-axis position [km]. Z-coordinate is reported as height from the mean sea level.</p>
Travel times of temporary seismic arrays and 3-D Vp and Vs models in the mid-to-south segment of the Red River fault, China
<p>The travel times of the temporary seismic arrays are manually picked. The 3-D Vp and Vs models beneath the mid-to-south segment of the Red River fault are obtained based on the improved double-difference tomography method and abundant data. </p>
Waveform data for centroid moment tensor solutions presented in publication "Bayesian seismic source inversion with a 3-D Earth model of the Japanese islands"
<p>This dataset contains waveform data for centroid moment tensor solutions inferred using Hamiltonian Monte Carlo sampling algorithm and a 3-D Earth model of the Japanese islands. Specifically, it includes processed observed waveforms from the Full Range Seismograph Network of Japan (F-Net, http://www.fnet.bosai.go.jp) and synthetic waveforms for the maximum-likelihood solutions as well as Global Centroid Moment Tensor (GCMT) solutions for all study events inverted at different periods. Detailed description of the dataset is included in the README file. </p>
Enormously large tippers observed in southwest China. Can realistic 3-D EM modeling reproduce them?
<p>This dataset contains the observed tipper data and 3-D EM modeling results associated to the manuscript: Enormously large tippers observed in southwest China. Can realistic 3-D EM modeling reproduce them?</p>
Comparison between ozone column depths and methane lifetimes computed by 1-D and 3-D models at different atmospheric O2 Levels
<p>Recently, Cooke et al. (2022) used a 3-D coupled chemistry-climate model (WACCM6) to calculate ozone column depths at varied atmospheric O<sub>2</sub> levels. They argued that previous 1-D photochemical model studies, e.g., Segura et al. (2003), may have overestimated the ozone column depth at low pO<sub>2</sub>, and hence also overestimated the lifetime of methane. We have compared new simulations from an updated version of the Segura et al. model with those from WACCM6, together with some results from another 1-D and 3-D model. The discrepancy in ozone column depths is likely due to multiple interacting parameters, including lower boundary conditions, vertical and meridional transport rates, and different chemical mechanisms, especially the treatment of O<sub>2</sub> photolysis in the Schumann-Runge (SR) bands (175-205 nm). The discrepancy in tropospheric OH concentrations and methane lifetime between WACCM6 and the 1-D model at low pO<sub>2</sub> is reduced when absorption from CO<sub>2</sub> and H<sub>2</sub>O in this wavelength region is included in WACCM6. Including scattering in the SR bands may further reduce this difference. Resolving these issues can be accomplished by developing an accurate parameterization for O<sub>2</sub> photolysis in the SR bands and then repeating these calculations in the various models. Work is already underway to this end.</p>
The role of chloroplast movement in C4 photosynthesis: A theoretical analysis using a 3-D reaction-diffusion model for maize
<p>Chloroplast movement within mesophyll (M) cells in C<sub>4</sub> plants is hypothesized to enhance the CO<sub>2</sub> concentrating mechanism (CCM), but this is difficult to verify experimentally. A three-dimensional (3-D) leaf model can help analyze how chloroplast movement influences the operation of CCM. The first volumetric reaction-diffusion model of C<sub>4</sub> photosynthesis that incorporates: detailed 3-D leaf anatomy, light propagation, ATP and NADPH production and CO<sub>2</sub>, O<sub>2</sub> and bicarbonate concentration driven by diffusional and assimilation/emission processes, was developed and implemented for maize leaves to simulate various chloroplast movement scenarios within M cells: the movement of all M chloroplasts towards bundle-sheath (BS) cells (aggregative movement) and movement of only those of interveinal M cells towards BS cells (avoidance movement). Light absorbed by bundle-sheath (BS) chloroplasts relative to M chloroplasts increased in both cases. Avoidance movement decreased light absorption by M chloroplasts considerably. Consequently, total ATP and NADPH production and net photosynthesis rate increased for aggregative movement and decreased for avoidance movement case compared to the default case of no chloroplast movement at high light intensities. Leakiness increased in both chloroplast movement scenarios due to the imbalance in energy production and demand in M and BS cells. These results suggest the need to design strategies for coordinated increases in electron transport and Rubisco activities for an efficient CCM at very high light intensities.</p>
Constructing a 3-D radially anisotropic crustal velocity model for Oklahoma by using full waveform inversion
<p>The OK3D_Vp_Ani.csv and OK3D_Vs_Ani.csv is inverted 3-D compressive and shear velocity model proposed in the publication.</p> <p>Each file contains horizontally and vertically polarized velocity components and their relative perturbation with respect to the averaged 1-D velocity profile, as well as the RA defined in the paper, at each location (longitude, latitude, depth).</p> <p>These two files are stored in CSV format, and can be easily readed by pandas module in python environment.</p>
The role of chloroplast movement in C4 photosynthesis: A theoretical analysis using a 3-D reaction-diffusion model for maize
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Comparison between ozone column depths and methane lifetimes computed by 1-D and 3-D models at different atmospheric O2 Levels
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FIGURE 6 in Taxonomic description and 3 D modelling of a new species of myzostomid (Annelida, Myzostomida) associated with black corals from Madagascar
FIGURE 6. Phylogenetic position of Eenymeenymyzsotoma nigrocorallium n. sp. in a tree computed with Bayesian analysis using 16S-18S-CO1 alignment. Numbers above branches indicate posterior probabilities; a star means a posterior probability superior to 95. Red arrow points to the position of the new species.
FIGURE 5 in Taxonomic description and 3 D modelling of a new species of myzostomid (Annelida, Myzostomida) associated with black corals from Madagascar
FIGURE 5. Undescribed specimen collected by Goenaga in 1977 on the inside of the black coral Stichopathes sp. (A) Dorsal view showing barely any structure except the parapodia. (B) Dorsal view under SEM showing the myzostomid ventrally convex. (C) View of a parapodium. (D) Dense cilia found on the dorsal side of the myzostomid. Scales: A: 500µm; B: 100µm; C,D: 10µm. Abbreviations: ci, cilia; dc, dorsal cilia; ds, dorsal side; gp, male genital pore; m, mouth; mr, lateral margin; p, parapodia; pc, parapodial cone; ph, parapodial hook; vs, ventral side.
FIGURE 4. Eenymeenymyzostoma nigrocorallium n in Taxonomic description and 3 D modelling of a new species of myzostomid (Annelida, Myzostomida) associated with black corals from Madagascar
FIGURE 4. Eenymeenymyzostoma nigrocorallium n. sp., internal structure. (A, E) Upper (A) and lower (E) sections of body showing entire digestive tract, reproductive apparatus and nervous system. (B, C) Details of nervous system. (E) Two seminal vesicles associated with third parapodium, both containing spermatophores. Scales: A, E: 200µm; B: 100µm; C, D: 50µm. Abbreviations: c, chaeta; ca, digestive caeca; fg, female gametes; i, intestine; mg, male gametes; nf, nervous fibers; ns, nervous system; p, parapodia; pe, perikarya; ph, pharynx; pn, parapodial nerve; s, spermatophore; sn, side nerves; st, stomach; sv, seminal vesicles; u, uterus; ub, uterine branches; uh, uterine horns, branches.
FIGURE 7 in Taxonomic description and 3 D modelling of a new species of myzostomid (Annelida, Myzostomida) associated with black corals from Madagascar
FIGURE 7. Phylogenetic position of Eenymeenymyzsotoma nigrocorallium n. sp. in a tree obtained using the maximum likelihood model (MetaPIGA). Numbers above branches indicate posterior probabilities; a star means a posterior probability superior to 95. Red arrow points to the position of the new species.
FIGURE 3. Eenymeenymyzostoma nigrocorallium n in Taxonomic description and 3 D modelling of a new species of myzostomid (Annelida, Myzostomida) associated with black corals from Madagascar
FIGURE 3. Eenymeenymyzostoma nigrocorallium n. sp., internal structure. (A) Transverse section through a black coral infested by a myzostomid lying in the lumen of a digestive duct of the coral host. (B) Detail of the host epithelial structure under the myzostomid. (C) Parapodium fully retracted into epithelial folds, thus invisible externally. (D, E, F) Hermaphroditic gonads extending out to the body margins, with spermatozoids ready to fertilize oocytes inside the gonadal ducts. Scales: A, B: 200µm; C: 60µm; D: 100µm; E, F: 10µm. Abbreviations: ac, acicula; c, cuticle; d, dorsal side of myzostomid; e, epidermis; ec, ectoderma; ee, external environment, en: endoderma; gv, granular vesicles; lu, lumen of digestive tract; m, myzostomid; mc, myoepithelial cells; me, mesoglea; o, oocyte; s, coral skeleton; sg, spermatogonia; ss, skeletal spine; v, ventral side of myzostomid.
FIGURE 2. Eenymeenymyzostoma nigrocorallium n in Taxonomic description and 3 D modelling of a new species of myzostomid (Annelida, Myzostomida) associated with black corals from Madagascar
FIGURE 2. Eenymeenymyzostoma nigrocorallium n. sp. (A) SEM photo, dorsal view. (B) SEM photo, ventral view of partially folded specimen. (C) Detail of humps along margin in (B); three sets of about 10 humps each are present on each side. (D, E) Very small parapodia (not always visible), each with curved hook protruding from tip. (F) Light micrograph of parapodium digested in bleach to show entire hook apparatus. Scales: A, B: 1mm; C: 100µm; D, E: 10µm; F: 50µm. Abbreviations: ac, acicula; h, humps; ho, hook; m, mouth; ma, manubrium; mr, lateral margin; p, parapodium; pc, parapodial cone, ph, parapodial hook; rh, replacement hook.
FIGURE 1. Eenymeenymyzostoma nigrocorallium n in Taxonomic description and 3 D modelling of a new species of myzostomid (Annelida, Myzostomida) associated with black corals from Madagascar
FIGURE 1. Eenymeenymyzostoma nigrocorallium n. sp. and its antipatharian hosts. (A) View of a cluster of six reddish living specimens revealed by removing overlying coral tissue; myzostomids situated within the coral tissue are often invisible. (B) In places where there are no coral polyps, the presence of myzostomids can sometimes be detected as a slight swelling of the coral surface (red arrow). (C–E) Antipatharian species recorded herein as hosts of E. nigrocorallium: (C) Stichopathes sp.; (D) Cirrhipathes sp. aff. anguina; (E) Cirrhipathes sp. Scales: A, B: 1mm; C, D, E, F, G: 1cm/square.
Validation Data used for manuscript "Climate Projections over the Great Lakes Region: Using Two-way Coupling of a Regional Climate Model with a 3-D Lake Model"
<p>those are the processed data that used for model-data comparison in the manuscript "Climate Projections over the Great Lakes Region: Using Two-way Coupling of a Regional Climate Model with a 3-D Lake Model", including Lake Surface Temperature and Lake Surface Ice Cover from Great Lakes Surface Environmental Analysis (GLSEA), Surface Air temperature and Precipitation from Climatic Research Unit (CRU). </p>
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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.