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424 results for “gravity”
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.
Following the Lithium: Tracing Li-bearing Molecules across Age, Mass, and Gravity in Brown Dwarfs
<p>Lithium is an important element for the understanding of ultracool dwarfs because it is lost to fusion at masses above ∼68MJ. Hence, the presence of atomic Li has served as an indicator of the nearby H-burning boundary at about 75MJ between brown dwarfs and very low mass stars. Historically, the “lithium test,” a search for the presence of the Li line at 670.8 nm, has been a marker if an object has a substellar mass. While the Li test could, in principle, be used to distinguish masses of later-type L–T dwarfs, Li is predominantly no longer found as an atomic gas but rather a molecular species such as LiH, LiF, LiOH, and LiCl in cooler atmospheres. The L- and T-type dwarfs are quite faint at 670 nm and thus challenging targets for high-resolution spectroscopy. But only recently have experimental molecular line lists become available for the molecular Li species, allowing molecular Li mass discrimination. Here we generated the latest opacity of these Li-bearing molecules and performed a thermochemical equilibrium atmospheric composition calculation of their abundances. Finally, we computed thermal emission spectra for a series of radiative–convective equilibrium models of cloudy and cloudless brown dwarf atmospheres (with Teff = 500–2400 K and log g = 4.0–5.0) to understand where the presence of atmospheric lithium-bearing species is most easily detected as a function of brown dwarf mass and age. After atomic Li, the best spectral signatures were found to be LiF at 10.5–12.5 μm and LiCl at 14.5–18.5 μm. Also, LiH shows a narrow feature at ∼9.38 μm.</p>
A gravity current flows over a wind farm in complex terrain
<p>A gravity current simulated with the Weather Research and Forecasting model flows over topography where a wind farm is located. It produces a nocturnal jet and downstream flow acceleration that enhances the performances of turbines in the back rows. This simulation is related to case 3 (transect 3) of the paper <em>Nocturnal jets over wind farms in complex terrain </em>that will be submitted to <em>Applied Energy.</em></p>
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>
Gravity Anomalies and Implications for Shallow Mantle Processes of the Western Cocos-Nazca Spreading Center
<p>This folder contains six grid files and one Matlab code from Zheng et al. (2022). </p> <p><br> (1)105W95W1S5N_mba.grd -- mantle Bougour anomaly calculated in this study (displayed in Fig. 1c).</p> <p>(2)105W95W1S5N_mba_ship_topo_global_FAA.grd -- Calculated mantle Bougour anomaly using mutltibeam bathymetry and global free air anomaly data (displayed in Fig. S1b).</p> <p>(3)105W95W1S5N_mba_global_topo_global_FAA.grd -- Calculated mantle Bougour anomaly using global bathymetry and global free air anomaly data (displayed in Fig. S1c).</p> <p>(4)105W95W1S5N_thermal_1k.grd -- thermal effect caused by plate cooling (displayed in Fig. S2b).</p> <p>(5)105W95W1S5N_rmba_1k.grd -- residual mantle Bougour anomaly (displayed in Fig. 2a).</p> <p>(6)105W95W1S5N_crust_1k.grd -- relative crustal thickness (displayed in Fig. 2b).</p> <p>(7)fig4_filtered_model.m -- Matlab code for producing filtered model in Fig. 4 </p>
Detection and seismic study of gravity and Rossby mode pulsations in four contact binaries
<p>MESA module and inlist files used in the paper “Detection and seismic study of gravity and Rossby mode pulsations in four contact binaries“</p>
Sediment gravity-flow drives the buildup of the modern Huanghe (Yellow River) delta front
<p>The dataset contains the output data of the numerical model and the source code for processing the data.</p> <p>1 Model validation </p> <p>The simulation time period covers 1996 to 2010 CE for H1, 1986 to 2009 CE for H2, and 1986 to 2008 CE for H3.</p> <p>1.1 The grain size distribution of the H1-H3 profile .grain</p> <p>1.2 The seafloor topography of the H1-H3 profile .bin</p> <p> </p> <p>2 Sensitivity numerical experiments</p> <p>2.1 The grain size distribution of the YD01-YD03 cores .grain</p> <p>We selected three cores (YD01, YD02, and YD03) at the H2 profile, simulated for the period of 1986-2006.</p> <p>2.2 The seafloor topography of the H2 profile .bin</p> <p>The model runs over timespans of 10 years (1986 to 1996), 20 years (1986 to 2006), and 30 years (1986 to 2015).</p> <p>2.3 The measured seafloor topography of the H2 profile .xlsx</p> <p>2.4 Original experimental data related to soil core samples .xlsx</p> <p> </p> <p>3 The plot_ grain.m and plot_ elevation.m file is used to process and analyze grain size distribution and topography, respectively</p>
Internal mixing of rotating stars inferred from dipole gravity modes
<p>MESA and GYRE inlists, opacity tables, and supplementary material for the paper "Internal mixing of rotating stars inferred from dipole gravity modes" by Pedersen et al. (2021), Nature Astronomy, Volume 5, p. 715-722, DOI:<a href="https://ui.adsabs.harvard.edu/link_gateway/2021NatAs...5..715P/doi:10.1038/s41550-021-01351-x">10.1038/s41550-021-01351-x</a></p>
Absolute Gravity Measurements at the base of the Grossglockner in the Austrian Alps in September 2021
<p>This report contains the results of absolute gravity measurements carried out at the base of the Grossglockner in the central eastern Alps during the month of September 2021. The Grossglockner is the highest mountain in Austria with an altitude of 3798 m. Its eastern slope is covered by the Pasterze, which is the largest glacier in the eastern Alps. It has a length of 8.4 km and undergoes a continuous and fast retreat due to climate change and global warming. The glacier lost half of its volume since 1851.</p> <p> </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>
Revealing Crustal Structure of the Western Philippine Sea Subduction Zone through Seismic, Gravity and Magnetic Joint Inversion Based on Minimum Support Cross-Gradient Coupling
<p>Data contains the synthetic model data and field data.<br> Final model contains the joint and single inverison result. <br> First volum of the data and model represents the location on the profile.</p> <p>Second volum of the model represents the depth of the model, which is all positive.</p> <p>Second volum of the data represent the value of the synthetic data.</p> <p>Rec_obs represents the reflection observed data,fir_tob represents the first arrival travel time observed data, the first and the second volum represents the source number and the receiver number. </p>
Positive Pressure and Gravity Affect Volumetric Capnography
ClinicalTrials.gov study NCT03853057. IPD Sharing: NO. Countries: 1. Publications: 2.
Randomized Controlled Trial Comparing Closed-suction Drain Versus Passive Gravity Drain Following Pancreatic Resection
ClinicalTrials.gov study NCT01988519. IPD Sharing: Not stated. Countries: 1. Publications: 1.
The Gravity-VAP (Ventilator-Associated Pneumonia) Trial
ClinicalTrials.gov study NCT01138540. IPD Sharing: Not stated. Countries: 2. Publications: 1.
Suspended Personal Protection System Versus Conventional Protection (Aka Zero-Gravity vs Shield and Apron)
ClinicalTrials.gov study NCT04078165. IPD Sharing: NO. Countries: 1. Publications: 1.
Gravity Stent-Retriever System For Reperfusion Of Large Vessel Occlusion Stroke Trial
ClinicalTrials.gov study NCT06249776. IPD Sharing: NO. Countries: 3. Publications: 1.
Postoperative Rehabilitation After Knee Arthroplasty: Anti-Gravity Treadmill
ClinicalTrials.gov study NCT03904030. IPD Sharing: NO. Countries: 1. Publications: 14.
Anti-gravity Treadmill Training in Patients With Knee Osteoarthritis
ClinicalTrials.gov study NCT05319964. IPD Sharing: NO. Countries: 1. Publications: 1.
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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.
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DANDI Archive for NWB datasets
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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.