Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
4,010
datasets available to search
ShareScore release 0.7.1
Dataset results
4,010 results for “Stability”
How do fine root traits of fast-growing trees promote soil organic carbon stabilization?
<p>Soil represents a larger reservoir of soil organic carbon (SOC) than terrestrial vegetation, offering a great potential for reducing the widespread adverse consequences of climate change. In forests and tree plantations, fine roots significantly impact SOC stabilization through their functional traits. However, it is not obvious which fine root traits between those related to chemistry (easily decomposable or recalcitrant), to architecture or morphology are the most conducive to SOC stabilization in phylogenetically related fast-growing trees. We assessed the effects of root functional traits on SOC storage and stabilization by studying <span>five hybrid poplar clones </span><span>(<em>Populus </em>spp.)</span><span> </span><span>with different root traits in plantations located in New Liskeard, ON, Canada</span>. We collected <span>soil cores at depths of 0-20, 20-40 and 40-60 cm, and determined bulk soil organic carbon, </span><span>particulate organic carbon (> 53 μm, POC) and mineral-associated organic carbon (< 53 μm, MAOC) fractions and fine root (< 2 mm diameter) traits.</span><span> We found that r</span>oot length density (RLD) was the best predictor of increased SOC stocks and MAOC among all root traits. Soil organic C stocks and MAOC were also positively correlated with root traits indicative of low chemical recalcitrance (i.e. high N and soluble compounds concentrations and low lignin/N). Such easily decomposed root matter could be readily consumed by soil microorganisms and promote adsorption of microbial by-products onto mineral surfaces. Thus, root traits that increase the soil volume explored by fine roots and are associated with easily decomposed organic compounds play a key role in SOC accumulation and persistence.</p>
Research data for: Patchy energy landscapes promote stability of small groups of active particles
<p>Research data supporting the pubblication "Patchy energy landscapes promote stability of small groups of active particles"</p>
Evolution of Hydromechanical Coupling from Quartz to Shale rich Faults and Implications for Slip stability
<p><span>Fault rock heterogeneity has a dominant effect on frictional and fluid flow properties of faults, yet the study of how fault hydromechanical properties are coupled, evolve with fault fabric and influence slip </span><span>behaviour</span><span> is still in its infancy. Here, we show that the increase in shale content within a quartz-rich experimental fault promotes a fabric ev</span><span>olution from a load-bearing granular framework to an interconnected foliated and clay-rich network. This fabric evolution causes a significant reduction in frictional strength, a marked decrease in permeability, and enhanced frictional stability. Fault sta</span><span>b</span><span>ility is enhanced by fault dilation associated to a reduction in pore fluid pressure within the low permeability, clay-rich faults. Our results indicate that fault rock fabric and associated hydromechanical properties exert a primary control on fault slip </span><span>behaviour</span><span>. The enhanced stability within pressurized clay-rich faults </span><span>matches</span><span> well with observations of aseismic slip during hydraulic stimulations of shales and models proposing dilation strengthening as a mechanism for the occurrence of slow slip events in shale rich sediments at shallow crustal levels. </span></p> <p> </p> <p><span>this repository contains the raw data for all experiments reported in Table 1. </span></p> <p><span>Furthermore, you are able to reproduce each figure by executing the Python code in each .zip file. </span></p> <p><span>For most of the codes you will have to install rawPy that is a specific Python package to manipulate our lab data and can be found at </span></p> <p><span>https://github.com/marcoscuderi/rawPy</span></p> <p><span>for any further request please do not hesitate to contact me at marco.scuderi@uniroma1.it</span></p>
Historical Pollen Records from `The Productivity-Stability Trade-off in Global Food Systems'
<p>Historical pollen records from Europe used to detect evidence of agricultural development on plant pollen dynamics. </p>
The process of HDAC11 Assay Development: enzyme stability
<p>Before performing the kinetic study for calculating the Km for HDAC11, it is important to know the duration of the stability of the protein under the assay conditions. This is being analyzed here.</p> <p> </p> <p><strong>Note: </strong>1. In the assay buffer, BSA conc. is 0.5 mg/ml (instead of 0.5%).</p> <p> 2. In the 7.5 ul developer solution, 40 uM of TSA (Trichostatin A) is also included.</p>
On the structure of the drifton phase space and its relation to the Rayleigh–Kuo criterion of the zonal-flow stability
<p>These are the supplementary data that can be used to generate figure 3, 4, and 5 in the manuscript "On the structure of the drifton phase space and its relation to the Rayleigh--Kuo criterion of the zonal-flow stability". The abstract of this manuscript reads as follows:</p> <p>The phase space of driftons (drift-wave quanta) is studied within the generalized Hasegawa--Mima collisionless-plasma model in the presence of zonal flows. This phase space is made intricate by the corrections to the drifton ray equations that were recently proposed by Parker [J. Plasma Phys. 82, 595820602 (2016)] and Ruiz et al. [Phys. Plasmas 23, 122304 (2016)]. Contrary to the traditional geometrical-optics (GO) model of the drifton dynamics, it is found that driftons can be not only trapped or passing, but they can also accumulate spatially while experiencing indefinite growth of their momenta. In particular, it is found that the Rayleigh--Kuo threshold known from geophysics corresponds to the regime when such "runaway" trajectories are the only ones possible. On one hand, this analysis helps visualize the development of the zonostrophic instability, particularly its nonlinear stage, which is studied here both analytically and through wave-kinetic simulations. On the other hand, the GO theory predicts that zonal flows above the Rayleigh--Kuo threshold can only grow; hence, the deterioration of intense zonal flows cannot be captured within a GO model. In particular, this means that the so-called tertiary instability of intense zonal flows cannot be adequately described within the quasilinear wave kinetic equation, contrary to some previous studies.</p>
Experimental Evaluation LTV-MPC Stability for Autonomous Driving
<p>This video presents the experimental evaluation of LTV-MPC stability at Scania’s test track facilities located in Södertälje, Sweden, south of Stockholm.</p>
Dataset for "Stability and electronic properties of planar defects in quaternary I2-II-IV-VI4 semiconductors"
<p>We are grateful to the UK Materials and Molecular Modelling Hub for computational resources, which is partially funded by EPSRC (EP/P020194/1). The research was supported by the Royal Society and the EU Horizon2020 Framework (STARCELL, Grant No. 720907). J.-S.P. thanks the Royal Society for Shooter International Fellowship.</p>
Experiments on the effects of width variations of step formation and stability in steep streams
<p>This repository contains experimental data used in the manuscript "Width variations control the location and stability of steps in steep streams: insight from flume experiments" submitted to Geophysical Research Letters by Saletti M. and Hassan M. A.</p> <p>- The matlab script Steps_Slices.m is the the code used to identify steps from the bed elevation file DEM, using the modified version of the algorithm of Zimmermann, Church and Hassan (Geomorphology, 2008).</p> <p>- The 4 subfolders contains the DEMs post-processed, as .txt files, and the photos, as .jpg files, after each hour of experiment. The name of the folder identifies the experiments and the cumulative hour after which the data have been collected (e.g. N1_06 contains DEM and photo collected after 6 hours of experiment N1).</p> <p>- Each hour the unit discharge was increased as follows:<br> Runs q [l/s/m]<br> 00 5.0<br> 01 10.0<br> 02 12.0<br> 03 14.5<br> 04 17.5<br> 05 21.0<br> 06 25.0<br> 07 30.0<br> 08 36.0<br> 09 43.2<br> 10 51.8<br> 11 62.2<br> </p>
Data and code for "Observation and stabilization of photonic Fock states in a hot radio-frequency resonator"
<p>This folder contains all the code necessary to produce the figures of the paper entitled "Observation and stabilization of photonic Fock states in a hot radio-frequency resonator" written by Mario F. Gely, Marios Kounalakis, Christian Dickel, Jacob Dalle, Rémy Vatré, Brian Baker, Mark D. Jenkins and Gary A. Steele</p> <p><strong>Content: </strong></p> <p>data/<br> Contains multiple folders each corresponding to a measurement. <br> These are all time stamped. <br> Inside each of these folders is a python file which corresponds to the measurement script run using the open source STlab library (see version closest to the time stamp on https://github.com/steelelabgit/stlab).<br> There is also a DAT file containing the measurement data and an accompanying text file which provides the name and end values of the swept parameters<br> This data will be opened and manipulated in the ipython notebooks</p> <p>analysis_results/<br> Contains the results of the ipython notebooks _*.ipynb<br> These are run on a computer cluster and generate information used in other ipython notebooks</p> <p>adaptive_rwa_solver_bootstrap_diagonal*.py<br> Libraries used to run the adaptive rotating wave approximation simulations</p> <p>load_data.py<br> Modules used to load data from data/</p> <p>plotting_functions.py<br> Modules used to plot 3D data as well as to generate default matplotlib settings</p> <p>_*.ipynb<br> Notebooks run on a computer cluster (using python 2.7) to generate the information stored in analysis_results/ and used in other ipython notebooks</p> <p>1D_S4BC_S9.ipynb<br> Notebook which generates the figures 1D, S4(B,C) and S9 of the paper. <br> Other notebooks follow this same naming convention</p> <p>*.pdf<br> *.png<br> Plots generated from the ipython notebooks which are then imported in Adobe Illustrator to construct figures</p>
Hydrogen Burning on Accreting White Dwarfs: Stability, Recurrent Novae, and the Post-nova Supersoft Phase
<p>MESA inlists associated with <a href="https://ui.adsabs.harvard.edu/?#abs/2013ApJ...777..136W">Hydrogen Burning on Accreting White Dwarfs: Stability, Recurrent Novae, and the Post-nova Supersoft Phase</a></p>
The stability of massive main-sequence stars as a function of metallicity
<p>MESA inlists associated with <a href="https://ui.adsabs.harvard.edu/?#abs/2012MNRAS.423.3397S">The stability of massive main-sequence stars as a function of metallicity</a></p>
Modeling the early evolution of massive OB stars with an experimental wind routine. The first bi-stability jump and the angular momentum loss problem
<p>MESA run_star_extras associated with <a href="https://ui.adsabs.harvard.edu/?#abs/2017A&A...598A...4K">Keszthelyi et al. (2017)</a>. MESA version 7624.</p> <p>Publication DOI: <a href="https://doi.org/10.1051/0004-6361/201629468">10.1051/0004-6361/201629468</a></p>
Activity-based proteomics reveals nine target proteases for the recombinant protein-stabilizing inhibitor SlCYS8 in Nicotiana benthamiana
<p>Complete dataset (MS Label-free quantification) for the publication 'Activity-based proteomics reveals nine target proteases for the recombinant protein-stabilizing inhibitor <em>Sl</em>CYS8 in <em>Nicotiana benthamiana</em>'</p> <p>DOI: 10.1111/pbi.13092</p> <p> </p>
Gaze-Stabilizing Central Vestibular Neurons Project Asymmetrically to Extraocular Motoneuron Pools
<p><strong>ABSTRACT </strong>Within reflex circuits, specific anatomical projections allow central neurons to relay sensations to effectors that generate movements. A major challenge is to relate anatomical features of central neural populations, such as asymmetric connectivity, to the computations the populations perform. To address this problem, we mapped the anatomy, modeled the function, and discovered a new behavioral role for a genetically defined population of central vestibular neurons in rhombomeres 5–7 of larval zebrafish. First, we found that neurons within this central population project preferentially to motoneurons that move the eyes downward. Concordantly, when the entire population of asymmetrically projecting neurons was stimulated collectively, only downward eye rotations were observed, demonstrating a functional correlate of the anatomical bias. When these neurons are ablated, fish failed to rotate their eyes following either nose-up or nose-down body tilts. This asymmetrically projecting central population thus participates in both upward and downward gaze stabilization. In addition to projecting to motoneurons, central vestibular neurons also receive direct sensory input from peripheral afferents. To infer whether asymmetric projections can facilitate sensory encoding or motor output, we modeled differentially projecting sets of central vestibular neurons. Whereas motor command strength was independent of projection allocation, asymmetric projections enabled more accurate representation of nose-up stimuli. The model shows how asymmetric connectivity could enhance the representation of imbalance during nose-up postures while preserving gaze stabilization performance. Finally, we found that central vestibular neurons were necessary for a vital behavior requiring maintenance of a nose-up posture: swim bladder inflation. These observations suggest that asymmetric connectivity in the vestibular system facilitates representation of ethologically relevant stimuli without compromising reflexive behavior.</p> <p><strong>SIGNIFICANCE STATEMENT</strong> Interneuron populations use specific anatomical projections to transform sensations into reflexive actions. Here we examined how the anatomical composition of a genetically defined population of balance interneurons in the larval zebrafish relates to the computations it performs. First, we found that the population of interneurons that stabilize gaze preferentially project to motoneurons that move the eyes downward. Next, we discovered through modeling that such projection patterns can enhance the encoding of nose-up sensations without compromising gaze stabilization. Finally, we found that loss of these interneurons impairs a vital behavior, swim bladder inflation, that relies on maintaining a nose-up posture. These observations suggest that anatomical specialization permits neural circuits to represent relevant features of the environment without compromising behavior.</p>
Stability and solubility of the FeAlO3 component in bridgmanite at uppermost lower-mantle conditions
<p>Here, we show the experimental details of the synthesized minerals under the lower mantle conditions, the compositions of the samples, and the lattice parameters of the bridgmanite phase.The results will help understand the Fe<sup>3+</sup> and Al<sup>3+ </sup>solubility in the lower mantle and the mineralogy of this region.</p>
Development of Environmentally-Friendly Stabilization Methods for Transportation Infrastructure Based on Geopolymers
<p>Corresponding data set for Tran-SET Project No. 17GTTAM02. Abstract of the final report is stated below for reference:</p> <p>"Geopolymers (GPs) have received much attention as an eco-friendly and sustainable alternative to conventional chemical additives, since they can be processed at room temperatures from aqueous solutions by utilizing waste materials (e.g. fly ash) or abundant natural sources (e.g. clay). A collaborative research study is carried out by teams from Texas A&M University (TAMU) and University of Texas at Arlington (UTA) to investigate the effectiveness of GPs for stabilizing base and subgrade materials by considering the strength and shrink-swell characteristics. Two types of clay, obtained from the North Dallas area, were mixed with a potassium-based GP synthesized from metakaolin and silica fume, at a ratio of 8 wt% of dry geopolymer to dry soil, and cured for a period of 7 days. Moisture-density relationship tests conducted show that treated soils have a higher optimum moisture content and lower maximum dry density as compared to untreated soils. Treated soils exhibited significant reduction in shrinkage and swell properties as compared to untreated soils. Additionally, unconfined compression strength tests also show an increase in strength of treated soils."</p>
Thermodynamics-driven, high-throughput analysis of protein stability with MoltenProt
<p>Data for thermal unfolding curves for various proteins.</p> <p>Measured parameters: intrinsic fluorescence (330nm, 350nm), scattering</p> <p>Files in XLSX format represent annotated output data from NanoTemper Prometheus NT.48.</p> <p> </p>
Data: The effect of external lateral stabilization on the use of foot placement to control mediolateral stability in walking and running
<p>Data and code for Mahaki et al. (2019): The effect of external lateral stabilization on the use of foot placement to control mediolateral stability in walking and running (<a href="https://doi.org/10.7717/peerj.7939">https://doi.org/10.7717/peerj.7939</a>).</p> <p>The Gas, Force, and Optotrak data.rar folder contains three subfolders as follows:</p> <p><strong>Gasdata2</strong> - contains all oxygen data, plus a scripts to run the data.</p> <p> - Subjectxx - folder with oxygen data</p> <p> - MainMohammadRunning_EC - script to analyze the oxygen data.</p> <p> - EC_walkRun_Stat - script to statistically test the hypotheses in terms of energetic cost. The results have been presented in supplementary material (<strong>Fig. S5.</strong>)</p> <p><strong>KinData</strong> - contains all kinematic and kinetic data (one folder per subject)</p> <p> - Marker.xlsx - info on which markers were placed where</p> <p> - Pointers.xlsx - info on which pointer trials contain which virtual markers</p> <p> - Trials.xlsx - info on which files contain which conditions</p> <p> - Subjectxx - folder with all the data.</p> <p> - The *.ndf files contain the kinematics (can be read with readndf.m, available in a subfolder of the VU 3d model (see below)</p> <p> - The *.afp files contain the raw voltage data from the force plates. These can be converted to forces and moments using the function FBW_dualbelt.m, available in a subfolder of the VU 3d model (see below).</p> <p> - The _HS.mat files contain calculated events (see script A below), and are normal matlab files.</p> <p><strong>Software</strong> - contains all code used to get from the kinematic data to outcome variables, script were ran as:</p> <p> - A_Main_Heelstrikes - script which calculates heelstrikes, and prompts the user to check these. Results are saved in the same folder (and under same name, but with extension HS.mat) as original data.</p> <p> - B_Main_Calculate_step - script which was used to calculate main outcomes for each subject and condition. results of this script are stored in foot_placement_thorax.mat and used in subsequent scripts.</p> <p> - C_Combine_Test_Legs - script which was used to statistically investigate the effect of leg and speed on R<sup>2</sup> time series (lines 67-69). The results have been presented in Supplementary Material file (<strong>Fig. S1.</strong>).</p> <p> - D_main_plot_WalkRun_normalOnly - script which was used to check our second hypothesis which was the comparison between normal walking and running in terms of foot placement strategy. The results have been presented in <strong>Fig 4. & 5.</strong>.</p> <p> - E_main_plot_WalkRun - script which was used to check our third and fourth hypotheses which we investigated the effect of external lateral stabilization on R<sup>2</sup> values in walking and running (hypothesis 3) and differences of external lateral stabilization effect between walking and running (i.e. mode of locomotion X condition interaction, hypothesis 4) during swing phase. The results have been presented in <strong>Fig 5. and Fig 7.</strong>.</p> <p> - SW_SWvariability_WalkRun - script which was used to check our hypotheses in terms of step width and step width variability. The results have been presented in <strong>Fig 6</strong>.</p> <p> - F_Supplementary_main_plot_run - script which was used to compare R<sup>2</sup> values between running trials (speed effect) and the results have been presented in supplementary material (<strong>Fig .S2.</strong>).</p>
Wired for Stability: Evaluating Electrical Performance in Zinc Oxide-Modified Silver Nanowire Solution-Processed Transparent Electrode
<p>Characterisation dataset for “<span>Wired for Stability: Evaluating Electrical Performance in Zinc Oxide-Modified Silver Nanowire Solution-Processed Transparent Electrode</span>”, DOI:xx. Data for main and supporting figures provided as *.xlsx and *.txt files.</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.