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1,670 results for “FORCE”
Force Celte
Sculpture en pierre calcaire de Crazannes d'environ 3.20 m de hauteur, socle compris, excécutées par Mathieu Harzo. ***Héros magique, le guerrier Celte recourt à l'invisible, au surnaturel pour puiser sa force. Il apparaît dans cette sculpture en position repliée et ramassée, mais résolu, plein de courage et de détermination. L'imaginer déployer ses ailes, son cou et ses jambes, donne à son observateur une idée de sa grandeur. Il est l'oiseau au plumage stylisé en végétaux surmonté d'une tête de bélier, animal associé à l'image divine. On peut aussi y voir le serpent à tête "criocéphale" (tête de bélier) qui bénéficiait d'une grande popularité dans toute l'Europe celtique et en Gaule, illustrant l'unité culturelle réalisée par les Celtes au terme de leur expansion. Enfin, cette sculpture représente la force du Celte, convaincu que les âmes sont immortelles et l'univers indestructible. Il est serein face aux tumultes et à la mort.*** Source: Objaverse 1.0 / Sketchfab
Force Garth, Upper Teedale, Count Durham.
Extensive multi-period archaeology site. Roman period native settlements and field system, hut circle, bloomeries, lead smelting site and charcoal pits immediately south east of East Force Garth, which is ESE of Cow Green reservoit in upper Teesdale, County Durham. To the SW of the site is a large Force Garth stone quarry. It is a scheduled monument. A full description is available here: https://historicengland.org.uk/listing/the-list/list-entry/1017124 Source: Objaverse 1.0 / Sketchfab
Evaluating bottom-up forcing of a rocky intertidal resource harvest on a high trophic-level consumer group
<p>The importance of ecosystem-based management (EBM) frameworks for resource harvest has increased over the past several decades as ecosystems face numerous anthropogenic stressors. In these frameworks, resource managers must consider the suite of interactions that comprise food webs and how resource harvest drives responses in non-target organisms. In rocky intertidal zones along North Atlantic coastlines, rockweed (<em>Ascophyllum nodosum</em>)—a canopy-forming brown seaweed—has been commercially harvested for centuries, yet most research on the effects of harvest have focused on the responses of the target resource and the macroinvertebrate assemblage. In this study, we used a Before-After Control-Impact experiment to assess the bottom-up effects of commercial rockweed harvest on a high trophic-level consumer group (birds) in Maine (USA). Overall, there was no evidence for strong bottom-up forcing of rockweed harvest on birds' site visitation. There was a small (fewer than two birds) positive effect size of harvest during the one-year post-harvest recovery interval. Several of the trends observed for the full bird assemblage appear to be driven more strongly by the low tide than the high tide bird assemblage. Independent of treatment, site visitation by birds was low in our study (60% of surveys recorded no birds) and highlights questions about the use of rocky intertidal habitats relative to other habitat types in coastal birds' home ranges. To our knowledge, there are no comparable assemblage-level bird studies in this system that can provide context to our results. Further research on coastal birds' habitat use within home ranges and food-web connections with rockweed-associated macroinvertebrates is needed to more confidently incorporate this high trophic-level consumer group into an EBM framework for a rocky intertidal resource harvest.</p>
Data from: Quantifying a light-induced energetic change in bacteriorhodopsin by force spectroscopy
<p>Ligand-induced conformational changes are critical to the function of many membrane proteins and arise from numerous intramolecular interactions. In the photocycle of the model membrane protein bacteriorhodopsin (bR), absorption of a photon by retinal triggers a conformational cascade that results in pumping a proton across the cell membrane. While decades of spectroscopy and structural studies have probed this photocycle in intricate detail, changes in intramolecular energetics that underlie protein motions have remained elusive to experimental quantification. Here, we measured these energetics on the millisecond time scale using atomic-force-microscopy–based single-molecule force spectroscopy. Precisely timed light pulses triggered the bR photocycle while we measured the equilibrium unfolding and refolding of the terminal 8-amino-acid region of bR's G-helix. These dynamics changed when the EF-helix pair moved ~9 Å away from this end of the G helix during the "open" portion of bR's photocycle. In ~60% of the data, we observed abrupt light-induced destabilization of 3.4 ± 0.3 kcal/mol, lasting 38 ± 3 ms. The kinetics and pH-dependence of this destabilization were consistent with prior measurements of bR's open phase. The frequency of light-induced destabilization increased with the duration of illumination and was dramatically reduced in the triple mutant (D96G/F171C/F219L) thought to trap bR in its open phase. In the other ~40% of the data, photoexcitation unexpectedly stabilized a longer-lived putative misfolded state. Through this work, we establish a general single-molecule force spectroscopy approach for measuring ligand-induced energetics and lifetimes in membrane proteins.</p>
Coupled Ocean-atmospheric forcing on Indian Summer Monsoon variability during the middle Holocene: Insights from the Core Monsoon Zone speleothem record.
<p>Stable oxygen and carbon isotope data of stalagmite sample during middle Holocene time from Mahadev cave of Jagdalpur region in Central India.</p>
Data from: Inference of selective force on house mice genomes during secondary contact in East Asia
<p>The house mouse (<em>Mus musculus</em>), commensal to humans, has spread globally via human activities, leading to secondary contact between genetically divergent subspecies. This pattern of genetic admixture can provide insights into the selective forces at play in this well-studied model organism. Our analysis of 163 house mouse genomes, mainly from East Asia, revealed substantial admixture between the subspecies<em> castaneus</em> and <em>musculus</em>, particularly in Japan and southern China. We revealed, despite the admixture, that all Y chromosomes in the East Asian samples belonged to the <em>musculus</em>-type haplogroup, potentially explained by genomic conflict under sex ratio distortion due to varying copy numbers of ampliconic genes on sex chromosomes. We also investigated the influence of natural selection on the post-hybridization of the subspecies <em>castaneus</em> and <em>musculus</em> in Japan. Even though the genetic background of most Japanese samples closely resembles the subspecies<em> musculus</em>, certain genomic regions overrepresented the <em>castaneus</em>-like genetic components, particularly in immune-related genes. Furthermore, a large genomic block containing a vomeronasal/olfactory receptor gene cluster predominantly harbored <em>castaneus</em>-type haplotypes in the Japanese samples, highlighting the possible role of olfaction-based recognition in shaping hybrid genomes.</p>
Raman spectroscopic mapping and atomic force microscopy statistical analyses for the determination of WS2 flake thickness
<p><span>This database contains the statistical analyses carried out in order to evaluate the thickness of the WS</span><sub><span>2</span></sub><span> nanoflakes. In order to have a reliable comparison we determine the methodology of comparing Raman spectroscopic mapping and atomic force microscopy (AFM). </span></p> <p><span>In case of Raman spectroscopy, the thickness is evaluated by employing the separation of the two vibrational mode, namely E</span><sub><span>2g</span></sub><span> and A</span><sub><span>1g</span></sub><span>. This method is well-established and the number of layers has been previously tabulated in different articles. </span></p> <p><span>Each spectrum of the Raman analysis, is performed with a 100X objective in a confocal microscope, with a 473 nm laser excitation, a laser power of 0.5 mW and an acquisition time of 1 s.</span></p> <p><span>The AFM analysis are carried out in tapping mode with a 512-pixel x 512-pixel resolution and and a scan rate of 1Hz per line.</span></p>
Dynamics of Centipede Locomotion Revealed by Large-Scale Traction Force Microscopy (J. Roy Soc INTERFACE, to be published, march 2024)
<p>data and matlab code from paper "Dynamics of Centipede Locomotion Revealed by Large-Scale Traction Force Microscopy" (paper submitted to J. Roy Soc INTERFACE, to be published, march 2024)</p> <p><strong><span>Dynamics of Centipede Locomotion Revealed by Large-Scale Traction Force Microscopy</span></strong></p> <p><span> </span><span>J.P. Rieu</span><sup><span>1, *</span></sup><span>, H. Delanoë-Ayari</span><sup><span>1</span></sup><span>, C. Barentin</span><sup><span>1</span></sup><span>, T. Nakagaki</span><sup><span>2</span></sup><span> and S. Kuroda</span><sup><span>3</span></sup><sup><span> ,*</span></sup></p> <p><sup><span>1</span></sup><span> </span><span>Institut Lumière Matière, University of Lyon, Université Claude Bernard Lyon 1, CNRS, F-69622, Villeurbanne, France</span></p> <p><sup><span>2</span></sup><span> Research Institute for Electronic Science, Hokkaido University, N20W10 Kita-ku, Sapporo Hokkaido 001-0020, Japan</span></p> <p><sup><span>3 </span></sup><span>Faculty of Software and Information Technology, Aomori University, Koubata 2-3-1, Aomori, 030-0943, Japan</span></p> <p><span>* Authors for correspondence:<span> </span>Jean-Paul Rieu (e-mail: jean-paul.rieu@univ-lyon1.fr) and Shigeru Kuroda (shigeru-kuroda@aomori-u.ac.jp)</span></p> <p> </p> <p><strong><span>Abstract</span></strong></p> <p><span>We present a novel approach to traction force microscopy (TFM) for studying the locomotion of 10cm-long walking centipedes on soft substrates.</span><span> Leveraging the </span><span>remarkable</span><span> elasticity and ductility of kudzu starch gels, we utilize them as a deformable gel substrate, providing resilience against the centipedes' sharp leg tips. </span><span>Through optimizing fiducial marker size and density and fine-tuning imaging conditions, we enhance measurement accuracy. Our TFM investigation reveals traction forces along the centipede's longitudinal axis that effectively counterbalance inertial forces within the 0-10mN range, providing the first report of non-vanishing inertia forces in TFM studies. Interestingly, we observe waves of forces propagating from the head to the tail of the centipede, corresponding to its locomotion speed. Furthermore, we discover a characteristic cycle of leg clusters engaging with the substrate: forward force (friction) upon leg tip contact, backward force (traction) as the leg pulls the substrate while stationary, and subsequent forward force as the leg tip detaches to reposition itself in the anterior direction. </span><span>This work </span><span>opens perspectives for TFM applications in ethology, tribology, and robotics</span><span>.</span></p>
FAIR-IMPACT Synchronisation Force 2023 edition: preliminary data gathered from projects and intiatives
<p>Building on the successful Synchronisation Force <a href="https://fair-impact.eu/events/synchronisation-force-events/synchronisation-force-1st-workshop-november-2022">workshop 2022</a>, the 2023 edition of the Synchronisation Force workshop aimed to discuss common challenges and priorities related to turning the FAIR principles into practice. The workshop took place as a series of seven virtual sessions between 2 November 2023 and 8 February 2024, with the five core sessions between 27 November and 7 December 2023.</p> <p>Invited to this workshop were selected, key FAIR representatives of projects and initiatives in the EOSC framework.</p> <p>In this record we saved the preliminary information gathered from the workshop participants collected via a survey. The information were used as preliminary discussion points for each of the five sessions organised, and were considered useful top ensure an interactive discussion.</p>
Horizon2020 [FORCeS] Puijo SMEAR-IV campaign data
<p>A 3 month long ambient measurement campaign at SMEAR-IV station (station code FI0063R; Kuopio, Finland; https://www.atm.helsinki.fi/smear/?page_id=85) with complimenting ground station measurements. Semi-urban environment. SMEAR-IV station measurement height is at 80m above ground.</p> <p>Measured quantities at SMEAR-IV: meteorological parameters, atmosheric gasses (O3, NOx, SO2), black carbon (MAAP-5012 Thermo Fischer Scientific), particle number concentration and size distribution data (DMPS). SMEAR-IV station has a switching double inlet set-up: whole air (ambient aerosol smaller than 50 um at ambient conditions), and interstitial (ambient aerosol smaller than 1 um at ambient conditions) which was utilised in black carbon measurements. </p> <p>Measured quantities at ground station: meteorological parameters, atmosheric gases (O3, NOx, SO2), particle number concentration and size distribution data (SMPS, TSI Inc.), and aerosol bulk proprties (AMS, Aerodyne Reserach Inc.). </p> <p> </p> <p>Additional data measured at the SMEAR-IV station: cloud condesation nuclei activation diameter (CCN counter, Droplet Measurement Technologies), aerosol particle bulk composition and properties (ACSM, Aerodyne Reserach Inc.), more detailed particle composition (FIGAERO-CIMS, Aerodyne Reserach Inc.), cloud droplet concentration, and visibility. </p> <p>Additional data measured at the ground station: cloud condesation nuclei activation diameter (CCN counter, Droplet Measurement Technologies), more detailed particle composition (FIGAERO-CIMS, Aerodyne Reserach Inc.), small oxygenated compounds, polar molecules, BTEX, PAHs, other aromatics (VOCUS, Aerodyne Reserach Inc.). </p> <p>Please contact creators for these data. </p> <p> </p> <p>This work was supported by the European Union’s Horizon 2020 research and innovation program under grant agreement No. 821205 (FORCeS).</p>
Vector Force Fields (VFF) Video Results
<p>Video results for PhD Thesis of Vector Force Fields (VFF) for collision avoidance and navigation in vineard simulation.<br><br><span><a href="https://zenodo.org/uploads/14116726" target="_blank" rel="noopener noreferrer">VFFLargeGap.mp4</a></span><span>: VFF algorithm for a relative bigger gap then the following results.</span></p> <div><a href="https://zenodo.org/api/records/14116726/draft/files/VFFMediumGap.mp4/content" target="_blank" rel="noopener noreferrer">VFFMediumGap.mp4</a>: <span>VFF algorithm for a medium gap then the following results.</span></div> <div> <div> </div> <div><a href="https://zenodo.org/api/records/14116726/draft/files/VFFMediumGap.mp4/content" target="_blank" rel="noopener noreferrer">VFFMediumGap.mp4</a>: <span>VFF algorithm for a relative smaller gap then the following results.</span></div> </div>
Datasets and scripts for the publication "Insights into Defect Cluster Formation in Non-Stoichiometric Wustite (Fe1-xO) at Elevated Temperatures: Accurate force field from Deep Learning"
<div> <div> <div> <div> <p><strong>All the datasets and scripts for the publication"Insights into Defect Cluster Formation in Non-Stoichiometric Wustite (Fe<sub>1-x</sub>O) at Elevated Temperatures: Accurate force field from Deep Learning".</strong></p> <p>This database contains high-fidelity datasets for non-stoichiometric wüstite (Fe₁₋ₓO), including atomic coordinates, energies, and forces generated through ab initio molecular dynamics (AIMD) and refined using Deep Potential (DP) training. The dataset encompasses bulk phases, vacancy structures, and surface orientations, enabling accurate modeling of defect clusters and thermodynamic properties. It supports machine-learning force field development, offering insights into defect formation and large-scale simulations of Fe₁₋ₓO systems at elevated temperatures.</p> </div> </div> </div> </div> <div> <p>Description of the File Structure of Fe1-xO_DeepMD_Code_Datasets_Analysis.zip:</p> <p>1. `<code>init</code>` Folder <br>This folder contains the foundational datasets and inputs used for training and developing the machine-learning force field for Fe₁₋ₓO. </p> <blockquote> <p>1.1 `<code>01.train_data</code>` Subfolder <br>This folder organizes data related to the initial training of the Deep Potential (DP) model. <br>- `<code>dpmd_dataset</code>`: Processed dataset ready for DeepMD training, containing atomic configurations, forces, and energies.<br>- `<code>dpmd_rawfiles</code>`: Raw files from ab initio molecular dynamics (AIMD) simulations, serving as the source for generating training datasets.</p> <p>1.2 `<code>02.develop_data</code>` Subfolder<br>Contains `<code>.vasp</code>` files representing structural data used to develop and refine the force field. The structures include bulk, vacancy, and surface configurations of Fe₁₋ₓO. <br>- Files labeled `<code>bulk</code>` represent bulk Fe₁₋ₓO systems with varying lattice constants. <br>- Files labeled `<code>defect</code>` represent Fe and O vacancy structures (single and double vacancies). <br>- Files labeled `<code>surface</code>` represent Fe₁₋ₓO surface structures in various crystallographic orientations. <br><br></p> </blockquote> <p>2. `<code>run</code>` Folder<br>This folder contains files and logs generated during iterative training and testing of the DP force field, as well as subfolders for each iteration of the training process. </p> <blockquote> <p>2.1 Iteration Folders (`<code>iter.000000</code>` to `<code>iter.000024</code>`):<br>Each folder represents an iteration in the iterative refinement of the DP model, with three subfolders: <br>- `<code>00.train</code>`: Contains training data and outputs for the DP model during the current iteration. <br>- `<code>01.model_devi</code>`: Tracks deviations between DP predictions and ab initio results, guiding dataset selection for the next iteration. <br>- `<code>02.fp</code>`: Stores first-principles (FP) results from CP2K used to improve DP model accuracy. </p> <p>2.2 Other Key Files: <br>- `<code>cp2k.input</code>`: Input file for CP2K, used for performing ab initio calculations on configurations during the iterative process. <br>- `<code>dpdispatcher.log</code>`: Log file tracking the progress of data dispatching and task execution. <br>- `<code>dpgen.log</code>`: Log file recording operations of DPGEN during dataset generation and force field development. <br>- `<code>dpgen_nohup.sh</code>`: Script for running DPGEN in the background. <br>- `<code>machine_slurm_cp2k.json</code>`: Configuration file specifying computing resources for CP2K simulations in a cluster environment. <br>- `<code>param_cp2k.json</code>`: Parameter file for CP2K calculations, defining simulation settings. <br>- `<code>record.dpgen</code>`: Record of iterative processes, including input parameters and outputs for each stage.</p> </blockquote> <p>This organized structure ensures a systematic approach to dataset preparation, model training, and iterative refinement for developing accurate machine-learning potentials for Fe₁₋ₓO.</p> <p>graph-compress.0330.pb is the final compressed DeepMD potential parameters.</p> </div>
Large ensemble simulations of Holocene temperature and volcanic forcing
<p>Simulations of the global monthly mean volcanic Stratospheric Aerosol Optical Depth (gmSAOD) for 6755 BCE - 1900 CE performed with EVA_H (code available from <span><a href="https://github.com/thomasaubry/EVA_H">https://github.com/thomasaubry/EVA_H</a></span>) and associated Effective Radiative Forcing (ERF).</p> <p>Simulations of the Holocene global annual mean temperature for 6755 BCE - 1900 CE performed with FaIR (code available from <span><a href="https://github.com/OMS-NetZero/FAIR/tree/v2.1.4">https://github.com/OMS-NetZero/FAIR/tree/v2.1.4</a></span>) using volcanic, greenhouse gases (CO2, CH4, N2O), solar, orbital, ice sheets, and anthropogenic land use forcings.</p>
Impact of host climate model on contrail cirrus effective radiative forcing estimates
<p>Data to reproduce the figures in the article 'Impact of host climate model on contrail cirrus effective radiative forcing estimates'.</p>
Ab initio data to generates machine-learned force fields of ions in aqueous medium in VASP format.
<p>ML_AB_H: Datasets of 64 water molecules and a single proton with 64 water molecules.</p> <p>ML_AB_VP2: Datasets of a single V^2+ ion with 64 water molecules.</p> <p>ML_AB_VP3: Datasets of a single V^3+ ion with 64 water molecules.</p> <p>ML_AB_FeP2: Datasets of a single Fe^2+ ion with 64 water molecules.</p> <p>ML_AB_FeP3: Datasets of a single Fe^3+ ion with 64 water molecules.</p> <p>ML_AB_CuP1: Datasets of a single Cu^+ ion with 64 water molecules.</p> <p>ML_AB_CuP2: Datasets of a single Cu^2+ ion with 64 water molecules.</p> <p>ML_AB_RuP2: Datasets of a single Ru^2+ ion with 64 water molecules.</p> <p>ML_AB_RuP3: Datasets of a single Ru^3+ ion with 64 water molecules.</p> <p>ML_AB_AgP1: Datasets of a single Ag^+ ion with 64 water molecules.</p> <p>ML_AB_AgP2: Datasets of a single Ag^2+ ion with 64 water molecules.</p> <p>ML_AB_O2: Datasets of a single O2 ion with 64 water molecules.</p> <p>ML_AB_O2N1: Datasets of a single O2^- ion with 64 water molecules.</p> <p>ML_AB_water: Datasets of 64 water molecules presenting bulk water and 64 water molecules representing water slab.</p> <p>All datasets were generated by VASP using PAW, plane wave basis sets with cutoff energy of 520 eV and RPBE+D3 exchange-correlation functional with zero-damping. All ab initio calculations were done on extended systems with periodic boundary conditions. See details in <a href="https://doi.org/10.48550/arXiv.2409.11000">https://doi.org/10.48550/arXiv.2409.11000</a>.</p>
Senator Beck Basin Radiative Forcing at MODIS overpass (2005-2023 WY)
<p>Data used in: </p> <p>Naple, P., Skiles, S. M., Lang, O. I., Rittger, K., Lenard, S. J. P., Burgess, A., Painter, T. H. (2023). Dust 774 on snow radiative forcing and contribution to melt in the Colorado River Basin over the MODIS record. 775 ESS Open Archive. https://doi.org/10.22541/essoar.172987451.11953219/v1</p> <p>This is qa/qc'd radiative forcing validation data from two snow energy balance instrumentation towers in Senator Beck Basin Study Area, San Juan Mountains, CO. Measurements are from nearest hour to MODIS overpass</p> <p>All data originates from the Center for Snow and Avalanche Studies, and if used they should be recognized, please see their data policy: <a href="https://snowstudies.org/csas-archival-data/">https://snowstudies.org/csas-archival-data/</a> </p> <p>Radiative forcing is calculated using Equation 1 from Painter et al. 2007</p> <p> </p> <p>Painter, T. H., Barrett, A. P., Landry, C. C., Neff, J. C., Cassidy, M. P., Lawrence, C. R., ... & Farmer, G. L. (2007). Impact of disturbed desert soils on duration of mountain snow cover. <em>Geophysical Research Letters</em>, <em>34</em>(12).</p>
Pylake tutorial dataset: Force calibration
<p>A dataset acquired on a LUMICKS C-Trap used to demonstrate passive and active force calibration of an optical trap.</p> <p>The dataset contains:</p> <p>- A passive force calibration deep in the flowcell.</p> <p>- An active calibration near the surface of the flowcell.</p> <p>- A calibration on a fast detector.</p> <p>- A calibration spectrum with a noise peak.</p> <p>- A calibration with a noise floor.</p> <p>- A calibration item with the data inside the calibration marker.</p>
Output of aquaplanet idealized GCM simulations under perpetual solstice-like forcing from Singh 2019, J. Atmos. Sci.
<p># Overview</p> <p>This directory contains the output from simulations in the idealized aquaplanet GCM that were originally reported in Singh 2019, J. Atmos Sci. The contents are as follows:</p> <p>```<br> ├── Omega0.125_y0005-y0010.mean.1x5days.zonal_avg.nc<br> ├── Omega0.25_y0005-y0010.mean.1x5days.zonal_avg.nc<br> ├── Omega0.5_y0005-y0010.mean.1x5days.zonal_avg.nc<br> ├── Omega0.66_y0005-y0010.mean.1x5days.zonal_avg.nc<br> ├── Omega0.75_y0005-y0010.mean.1x5days.zonal_avg.nc<br> ├── Omega1.5_y0005-y0010.mean.1x5days.zonal_avg.nc<br> ├── Omega1_y0005-y0010.mean.1x5days.zonal_avg.nc<br> ├── Omega2_y0005-y0010.mean.1x5days.zonal_avg.nc<br> ├── Omega3_y0005-y0010.mean.1x5days.zonal_avg.nc<br> ├── Omega4_y0005-y0010.mean.1x5days.zonal_avg.nc<br> ├── Omega8_y0005-y0010.mean.1x5days.zonal_avg.nc<br> └── README.md<br> ```</p> <p>where `Omega*x` indicates the rotation rate multiplicative factor, with 1x being Earth's rotation rate. All simulations are performed with time-invariant northern solstice insolation. A full description of the simulation setups is available in Singh 2019.</p> <p># References</p> <p>Idealized GCM formulation: Frierson, Dargan M. W., Isaac M. Held, and Pablo Zurita-Gotor. “A Gray-Radiation Aquaplanet Moist GCM. Part I: Static Stability and Eddy Scale.” Journal of the Atmospheric Sciences 63, no. 10 (October 1, 2006): 2548–66. https://doi.org/10.1175/JAS3753.1.</p> <p>Simulations: Singh, Martin S. “Limits on the Extent of the Solsticial Hadley Cell: The Role of Planetary Rotation.” Journal of the Atmospheric Sciences 76, no. 7 (April 30, 2019): 1989–2004. https://doi.org/10.1175/JAS-D-18-0341.1.</p>
Output of dry idealized GCM simulations under perpetual solstice-like forcing
<p>This repository contains the output from simulations in the Caltech idealized dry GCM that were originally reported in Hill, Bordoni, and Mitchell 2021, J. Atmos Sci. The simulations use a Newtonian cooling approximation of radiative transfer, and the Newtonian relaxation temperature field is an approximation of Earth's northern solstice. Simulations are run at three different planetary rotation rates, 1/4, 1, and 2x Earth's rotation rate. A fourth simulation is run at Earth's rotation rate but with the `delta_h` parameter that controls the magnitude of the meridional temperature gradients set to 1/6 rather than 1/15 as for the other simulations.</p> <p>Idealized GCM formulation: Schneider, Tapio. “The Tropopause and the Thermal Stratification in the Extratropics of a Dry Atmosphere.” Journal of the Atmospheric Sciences 61, no. 12 (June 1, 2004): 1317–40. https://doi.org/10.1175/1520-0469(2004)061<1317:TTATTS>2.0.CO;2.</p> <p>Simulations: Hill, Spencer A., Simona Bordoni, and Jonathan L. Mitchell. “Solsticial Hadley Cell Ascending Edge Theory from Supercriticality.” Journal of the Atmospheric Sciences 78, no. 6 (June 1, 2021): 1999–2011. https://doi.org/10.1175/JAS-D-20-0341.1.</p>
Effective radiative forcing of anthropogenic aerosols in E3SMv1
<p>This archive contains processed E3SMv1 simulation data documented the following manuscript: </p> <p>Zhang et al. (2021): Effective radiative forcing of anthropogenic aerosols in E3SMv1: historical changes, causality, decomposition, and parameterization sensitivities. In submission to Atmospheric Chemistry and Physics. </p> <p>The E3SM maint-1.0 code (E3SM github hash 849d9ee, https://github.com/E3SM-Project/E3SM/tree/849d9ee1a4996e7bea9a6dcc53784259d8272ab8) used for nudged simulations was obtained from the E3SM project sponsored by the U.S.Department of Energy, Office of Science, Office of Biological and Environmental Research.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.