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61 results for “gravity model”
Numerical modeling of the concentric gravity wave seeding of low-latitude nighttime medium-scale traveling ionospheric disturbances
<p>The SAMI3/ESF model-generated electron density files (.mat file) associated with each of the cases in the paper.</p>
Dataset of "Annual Cycle of Gravity Wave Variability Derived from a High-Resolution Martian General Circulation Model" (3/3)
<p>This dataset contains the GrADS data of high-resolution Mars GCM results used for figures in the paper "Annual Cycle of Gravity Wave Variability Derived from a High-Resolution Martian General Circulation Model" by T. Kuroda, E. Yiğit and A.S. Medvedev.</p> <p>Each file contains two-dimensional (X: longitude, Y: latitude) data of surface pressure (Ps) and dust opacity in infrared wavelength (tau), and three-dimensional (X: longitude, Y: latitude, Z:sigma-level) data of temperature (T), zonal wind velocity (u), meridional wind velocity (v) and vertical wind velocity (w). Each tar.xz file contains snapshots of those data in every 1/6 Sol for Ls of 30 degrees.</p> <p>data210rdc.tar.xz: for Ls=210-240 (47 Sols)</p> <p>data240rdc.tar.xz: for Ls=240-270 (46 Sols)</p> <p>data270rdc.tar.xz: for Ls=270-300 (48 Sols)</p> <p>data300rdc.tar.xz: for Ls=300-330 (51 Sols)</p> <p>data330rdc.tar.xz: for Ls=330-360 (56 Sols)</p>
Dataset of "Annual Cycle of Gravity Wave Variability Derived from a High-Resolution Martian General Circulation Model" (2/3)
<p>This dataset contains the GrADS data of high-resolution Mars GCM results used for figures in the paper "Annual Cycle of Gravity Wave Variability Derived from a High-Resolution Martian General Circulation Model" by T. Kuroda, E. Yiğit and A.S. Medvedev.</p> <p>Each file contains two-dimensional (X: longitude, Y: latitude) data of surface pressure (Ps) and dust opacity in infrared wavelength (tau), and three-dimensional (X: longitude, Y: latitude, Z:sigma-level) data of temperature (T), zonal wind velocity (u), meridional wind velocity (v) and vertical wind velocity (w). Each tar.xz file contains snapshots of those data in every 1/6 Sol for Ls of 30 degrees.</p> <p>data090rdc.tar.xz: for Ls=090-120 (64 Sols)</p> <p>data120rdc.tar.xz: for Ls=120-150 (60 Sols)</p> <p>data150rdc.tar.xz: for Ls=150-180 (54 Sols)</p> <p>data180rdc.tar.xz: for Ls=180-210 (49 Sols)</p>
Dataset of "Annual Cycle of Gravity Wave Variability Derived from a High-Resolution Martian General Circulation Model" (1/3)
<p>This dataset contains the GrADS data of high-resolution Mars GCM results used for figures in the paper "Annual Cycle of Gravity Wave Variability Derived from a High-Resolution Martian General Circulation Model" by T. Kuroda, E. Yiğit and A.S. Medvedev.</p> <p>Each file contains two-dimensional (X: longitude, Y: latitude) data of surface pressure (Ps) and dust opacity in infrared wavelength (tau), and three-dimensional (X: longitude, Y: latitude, Z:sigma-level) data of temperature (T), zonal wind velocity (u), meridional wind velocity (v) and vertical wind velocity (w). Each tar.xz file contains snapshots of those data in every 1/6 Sol for Ls of 30 degrees.</p> <p>data000rdc.tar.xz: for Ls=000-030 (61 Sols)</p> <p>data030rdc.tar.xz: for Ls=030-060 (66 Sols)</p> <p>data060rdc.tar.xz: for Ls=060-090 (67 Sols)</p>
STIM model output for "Aurorally-driven Supersonic Gravity Waves in Saturn's Atmosphere"
<p>Saturn Thermosphere-Ionosphere Model (STIM) output corresponding to the figures shown in the paper "Aurorally-driven Supersonic Gravity Waves in Saturn's Atmosphere".</p>
Data from: Model-based inference for estimating shifts in species distribution, area occupied and centre of gravity
Changing climate is already impacting the spatial distribution of many taxa, including bees, plants, birds, butterflies and fishes. A common goal is to detect range shifts in response to climate change, including changes in the centre of the population's distribution (the centre of gravity, COG), population boundaries and area occupied. Conventional estimators, such as the abundance-weighted average (AWA) estimator for COG, confound range shifts with changes in the spatial distribution of available survey data and may be biased when the distribution of survey data shifts over time. AWA also does not estimate the standard error of COG in individual years and cannot incorporate data from multiple survey designs. To explicitly account for changes in the spatial distribution of survey effort, we propose an alternative species distribution function (SDF) estimator. The SDF approach involves calculating distribution metrics, including COG, population boundary and area occupied, directly from the predicted species distribution or density function. We illustrate the SDF approach using a spatiotemporal model that is available as an r package. Using simulated data, we confirm that the SDF substantially decreases bias in COG estimates relative to the AWA estimator. We then illustrate the method by analysing data from two data sets spanning 1977–2013 for 18 marine fishes along the U.S. West Coast. In our case study, the SDF estimator shows significant northward shifts for six of 18 species (with southward shifts for only 2), where two species (darkblotched and greenstriped rockfishes) have both a northward shift and a decreased area occupied. Pelagic species (e.g. Pacific hake and spiny dogfish) have more variable distribution than bottom-associated species. We also find substantial differences between AWA and SDF estimates of COG that are likely caused by shifts in sampling distribution (which affect the AWA but not the SDF estimator). We caution that common estimators for range shift can yield inappropriate inference whenever sampling designs have shifted over time. We conclude by suggesting further improvements in model-based approaches to analysing climate impacts, including methods addressing the impact of local and regional temperature changes on species distribution.
Dataset for Liu et al. (2022), "Convection and Clouds under Different Planetary Gravities Simulated by a Small-domain Cloud-resolving Model"
<p>Dataset for Liu et al. (2022), "Convection and Clouds under Different Planetary Gravities Simulated by a Small-domain Cloud-resolving Model".</p> <p> </p>
Datasets related to paper "Crustal structure and fault geometries of the Garhwal Himalaya, India: Insight from new high-resolution gravity data modeling and PSO inversion"
<p>The files include Satellite gravity data, topography and earthquake data used in the paper "Crustal structure and fault geometries of the Garhwal Himalaya, India: Insight from new high-resolution gravity data modeling and PSO inversion" by Chamoli A., Rana S., Dwivedi D., Pandey A.K.. This has been submitted to Journal of Geophysical Research: Solid Earth. Restrictions applied to the availability of the land gravity data set.</p>
Lidar and model data for manuscript submitted to GRL "First Simultaneous Observation of Secondary and Tertiary Gravity Waves by Lidar and Investigation with HIAMCM simulations"
<p>This dataset contains the lidar and model data used in the manuscript submitted GRL titlled '<strong>First Simultaneous Observation of Secondary and Tertiary Gravity Waves by Lidar and Investigation with HIAMCM simulations'</strong></p>
Dynamic gravity and topography modeling: the Venus case
<p>This archive contains codes and data files supporting the study "The Mantle Viscosity Structure of Venus" by Julia Maia, Mark Wieczorek and Ana-Catalina Plesa submitted to Geophysical Research Letters.</p> <p>The dynamic loading code is based on the model by Hager and Clayton (1989).</p>
Data from: Model-based inference for estimating shifts in species distribution, area occupied and centre of gravity
Open the record for dataset details and reuse information.
Upscaling capillary pressure curves for numerical modeling of gravity-capillary driven flow
<p>This work investigates upscaling of capillary pressure curves for modeling gravity segregation under the influence of capillary heterogeneity. We consider two flowing phases driven by gravity and capillary forces and seek the saturation spatial and temporal variation until equilibrium is reached. Existing upscaling methods, found in the literature, are applied to a number of cases. Resulting saturation solutions are compared to fine-scale simulations and the different methods are evaluated, showing in general that the popular capillary limit method produces the best results. However, a large number of cases are found to have significant errors. This leads to the conclusion that existing methods are often inadequate. We therefore propose a new optimization-based upscaling method. Using this approach it is shown that capillary pressure can be upscaled to Brooks-Corey type functions and produce accurate upscaled simulations matching the fine-scale solutions. Optimization upscaling is computationally demanding and requires the fine-scale simulations for minimizing an objective function. However, it is shown that the upscaled curves are robust, i.e., they can be applied to different permeability realizations to calculate ensemble average saturation solutions.<br> </p>
Supporting_information_of_Evalution of the High-degree Gravity Model at the Eastern Margin of Tibetan Plateau
<p>dataset for the paper "Evalution of the High-degree Gravity Model at the Eastern Margin of Tibetan Plateau"</p>
Models of the gravity field of Jupiter using Slepian and Spherical Harmonic functions
<p>This dataset contains gravitational models using Slepian and spherical harmonic functions for Jupiter, derived from the high-precision Doppler measurements collected by NASA's Juno mission to Jupiter from periapsis 1 to 17. This dataset is intended to be paired with the following article submitted to the Journal of Geophysical Research-Planets:</p> <p>Marzia Parisi, Eli Galanti, William M. Folkner, Yohai Kaspi and Dustin R. Buccino. "Resolving the latitudinal short-scale gravity field of Jupiter using Slepian functions", Journal of Geophysical Research, 2020 (submitted Feb 2020).<br> <br> This dataset of gravity field models was produced in part at the Jet Propulsion Laboratory by the Juno Gravity Instrument Team and Interiors Working Group.</p>
Videos for: Modeling 2D gravity-driven flow in unsaturated porous media for different infiltration rates
<p>This dataset contains videos of transient flow simulations in unsaturated porous media flow related to the manuscript: Modeling 2D gravity-driven flow in unsaturated porous media for different infiltration rates.</p>
Synthetic basement depth, gravity anomalies, density and observation points training dataset to train deep learning model
<p>Contains 200000 training data for our DNN model.</p>
Goddard Lunar Gravity Model Bundle
This bundle contains several gravity models for the Moon derived from Lunar Prospector and previous Lunar mission data. The models were derived by investigators at the Goddard Space Flight Center.
MESSENGER gravity and topography spherical harmonics model bundle
The bundle contains derived models of Mercury gravity and topography from radio science tracking and from the MLA instrument on MESSENGER. There are three product types: the Occultation Summary (OCC), the Spherical Harmonics ASCII Data Records (SHADR), and the Spherical Harmonics Binary Data Records (SHBDR).
JPL Lunar Prospector Gravity Model Bundle
This bundle contains a set of gravity models for the Moon derived by investigators at JPL.
The East Asia Moho depth model and the input gravity data
Open the record for dataset details and reuse information.
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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.