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10,735 results for “dependability”
Species-dependent responses of crop plants to polystyrene microplastics
<p>Only recently there has been a strong focus on the impacts of <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/microplastics">microplastics</a> on terrestrial crop plants. This study aims to examine and compare the effects of microplastics on two monocotyledonous (barley, <em>Hordeum vulgare</em> and wheat, <em>Triticum aestivum</em>), and two dicotyledonous (carrot, <em>Daucus carota</em> and lettuce, <em>Lactuca sativa</em>) <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/plant-specie">plant species</a> through two complimentary experiments. First, we investigated the effects of low, medium, and high (103, 105, 107 particles per mL) concentrations of 500 nm <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/polystyrene">polystyrene</a> microplastics (PS-MPs) on seed germination and early development. We found species-dependent effects on the early development, with microplastics only significantly affecting lettuce and carrot. When acutely exposed during germination, PS-MPs significantly delayed the germination of lettuce by 24%, as well as promoted the shoot growth of carrot by 71% and decreased its biomass by 26%. No effect was recorded on monocot species. Secondly, we performed a chronic (21 d) hydroponic experiment on lettuce and wheat. We observed that PS-MPs significantly reduced the shoot growth of lettuce by up to 35% and increased its biomass by up to 64%, while no record was reported on wheat. In addition, stress level indicators and defence mechanisms were significantly up-regulated in both lettuce and wheat seedlings. Overall, this study shows that PS-MPs affect plant development: impacts were recorded on both germination and growth for dicots, and responses identified by biochemical markers of stress were increased in both lettuce and wheat. This highlights species-dependent effects as the four crops were grown under identical conditions to allow direct comparison. For future research, our study emphasizes the need to focus on crop specific effects, while also working towards knowledge of plastic-induced impacts at environmentally relevant conditions.</p>
Extracted experimental data for research paper titled "Micro-thermomechanical Modeling of Rocks with Temperature-dependent Friction and Damage Laws"
<p>This repository contains the experimental data on stress-strain curves extracted from the following original publications for constitutive model validation in our manuscript.</p> <p>[1] Jinping marble: Zhong, Y. Y. (2017). Research on mechanical properties of marble and the effects on rock burst under thermal-mechanical coupling (in Chinese) (Master’s thesis, Chengdu University of Technology). doi: 10.26986/d.cnki.gcdlc.2017.000109.</p> <p>[2] Beibei sandstone: Long, L. J. (2021). Study on mechanical and seepage properties of sandstone under the coupling of temperature-seepage-stress (in Chinese) (Doctoral dissertation, Chongqing University). doi: 10.27670/d.cnki.gcqdu.2021.001009.</p> <p>[3] Gongjue granite: Zhou, H. Y., Liu, Z. B., Shen, W. Q., Feng, T., & Zhang, G. Z. (2022). Mechanical property and thermal degradation mechanism of granite in thermal-mechanical coupled triaxial compression. International Journal of Rock Mechanics and Mining Sciences, 160, 105270. doi: 10.1016/j.ijrmms.2022.105270.</p>
Size-dependent Copy Number Analysis Data
<p>Data<strong> </strong>used for analysis described in <em><span>Pan-cancer copy number analysis identifies optimized size thresholds and co-occurrence models for individualized risk stratification</span></em></p> <p><strong>MeningiomaSegs.zip </strong>contains the generated copy number segmentation from the sesame pipeline for 565 meningioma samples used in this project</p> <p><strong>MeningiomaClinical.xlsx </strong>contains deidentified clinical outcomes and relevant molecular data for meningioma samples</p> <p><strong>blank_CNV_table.xlsx </strong>is a blank template loaded in several R scripts in this project</p> <p><strong>hg38.14_chrom_arms_manual.txt </strong>Details the starting and ending points of chromosome arms</p> <p><strong>sampleinventory_excluded.xlsx</strong> Lists the TCGA cancer types and how many samples have both copy number and clinical data after manual exclusion of other samples</p>
[Supplementary-material] Validation of Inter-Parameter Dependencies in API Gateways
<p>This is the supplementary material for the paper Validation of Inter-Parameter Dependencies in API Gateways.</p>
Fig. 1 in Retrieving climate change dependent Sea Surface Temperature (SST) in Southern Turkey by using Landsat thermal imagery
Fig. 1 — Map of the study area, Bay of Goköva
Fig. 4 in Retrieving climate change dependent Sea Surface Temperature (SST) in Southern Turkey by using Landsat thermal imagery
Fig. 4 — Average annual temperature in Gökova Bay
AR12473 Time-Dependent Data-Driven Magnetofrictional Simulation
<p>This dataset is an excerpt of the time-dependent data-driven magnetofrictional modelling carried out in Price et al. (2020). This data is provided with a 6-hour cadence. For greater temporal resolution, please contact the authors. If you use this data, please cite the following publication:</p> <ul> <li>Price, D. J., Pomoell, J., & Kilpua, E. K. J. 2020, A&A, 644, A28 (doi: <a href="https://doi.org/10.1051/0004-6361/202038925">10.1051/0004-6361/202038925</a>)</li> </ul> <p>A compatible data-loader can be found, for example, in the <a href="https://github.com/pricedj/mafiat">MAFIAT repository</a> (Magnetic Field Analysis Tools, Price et al. 2022).</p>
Dataset used in publication titled " Dependence of climate and carbon cycle response in net zero emission pathways on the magnitude and duration of positive and negative emission pulses"
<p>Essential model data use to produce figures and tables for the publication titled " Dependence of climate and carbon cycle response in net zero emission pathways on the magnitude and duration of positive and negative emission pulses"</p>
Data from: Positive spatial and temporal density-dependence drive early reproductive economy-of-scale effects of masting in a European old-growth forest community
<p>Masting, the spatial synchronization of interannual variation in seed production, can enhance reproductive efficiency through positive density-dependent processes (DD) that result in economies of scale (EOS), such as decreased pollen limitation and predator satiation in years of high reproduction. While the general occurrence of such EOS effects has been documented for masting species, few studies simultaneously investigated how spatial and temporal variation in reproduction affects pollination and predation. Furthermore, it is unclear whether the same mechanisms apply to co-occurring species with different levels of conspecific density, pollen limitation, and seed defenses. Here, we use a long-term data set with high spatial resolution of seed production of European beech (<em>Fagus sylvatica</em>), Norway spruce (<em>Picea abies</em>), and silver fir (<em>Abies alba</em>) in a primeval montane forest to investigate the relationship between reproductive effort, pollination efficiency, and predispersal predation by insects. We found that, along the temporal axis, the proportion of sound (fertilized and unpredated) seeds correlated positively with annual seed production over the 14-year study period in all three species, most strongly in beech and only weakly in silver fir. Moreover, the results show that in beech, spatial seed density interacts with plot-wide annual seed rain to enhance DD effects on seed predation, suggesting additive effects of synchronous reproduction on fitness benefits.</p> <p>Synthesis: For both pollination and predispersal predation in beech and spruce, the strongest DD effects occur at low levels of reproduction and quickly reach asymptotes at higher levels, suggesting the presence of thresholds in different EOS mechanisms. As variability and synchrony in mast-seeding are expected to decline with climate change, EOS effects driven by DD may remain stable until the threshold is reached, at which sudden declines would result in devastating effects on the availability of viable seeds for germination and recruitment.</p>
Fig.1 in Species Diversity Of Wetland Birds, Depending On Area, Overgrowth Of Water Bodies On The Example Of Sovskie Ponds (Ukraine)
Fig.1. Map of the study areas.
Fig 6 in Species Diversity Of Wetland Birds, Depending On Area, Overgrowth Of Water Bodies On The Example Of Sovskie Ponds (Ukraine)
Fig 6. Shannon Index of nesting bird species depending on the area overgrown with macrophytes.
Fig. 4 in Species Diversity Of Wetland Birds, Depending On Area, Overgrowth Of Water Bodies On The Example Of Sovskie Ponds (Ukraine)
Fig. 4. The number of nesting pairs depending on the area owergrown with macrophytes.
Fig. 3 in Species Diversity Of Wetland Birds, Depending On Area, Overgrowth Of Water Bodies On The Example Of Sovskie Ponds (Ukraine)
Fig. 3. The number of nesting bird species depending on the area owergrown with macrophytes.
Energy-Dependent, Self-Adaptive Mesh h(p)-Refinement of a Constraint-Based Continuous Bubnov-Galerkin Isogeometric Analysis Spatial Discretisation of the Self-Adjoint Angular Flux Form of the Multi-Group Neutron Transport Equation with Dual-Weighted Residual Error Measures
<p>This repository holds all of the raw data generated by my (Modern) Fortran code for a paper "Energy-Dependent, Self-Adaptive Mesh h(p)-Refinement of a Constraint-Based Continuous Bubnov-Galerkin Isogeometric Analysis Spatial Discretisation of the Self-Adjoint Angular Flux Form of the Multi-Group Neutron Transport Equation with Dual-Weighted Residual Error Measures".</p> <p>The (Modern) Fortran code solves the SAAF form of the multi-group neutron transport equation using novel NURBS-based, IGA spatial discretisations.</p>
Data for: Conformational Dependence of Chemical Shifts in the Proline Rich Region of TAU Protein
<div> <div> <div> <p>Nuclear magnetic resonance (NMR) is an important method for structure elucidation of proteins, as it is an easy accessible and well understood method. To characterize intrinsically disordered proteins (IDPs) using computational models it is often necessary to analyze and integrate calculated observables with measurements derived from solution NMR experiments.</p> <p>In this case study we investigate whether and which chemical shifts of the proline-rich region of Tau protein (residues 210-240) offer information about the conformational state to distinguish two different microscopic conformers. Using multiple computational methods, chemical shifts of those two conformationally distinct structures are calculated. The different methods are compared regarding their ability to compute chemical shifts that are sensitive to conformational change.</p> <p>The analysis of the data shows significant differences between the available methods and gives suggestions to an improved pathway for ensemble reweighting. Nevertheless, the variation in the chemical shifts which are predicted for configurations that are commonly considered to belong to the same conformation is such that this obscures a comparison between distinct conformations. Conformational sensitivity is found for up to ∼26% of calculated chemical shifts. It is found to be unrelated with atom element and had minor relation with the change of the corresponding φ dihedral angle.</p> </div> </div> </div>
Replication Package for "On the impact of security vulnerabilities in the npm package dependency network
<p>This is the replication package for paper "On the impact of security vulnerabilities in the npm package dependency network" accepted for publication in MSR 2018.</p>
Temperature-Dependent Development and Freezing Survival of Protostrongylid Nematodes of Arctic Ungulates: Implications for Transmission
<p>Data used to derive the conclusion of the work. Spreadsheets contain raw data.</p>
Example results for use-cases of DAVOS toolkit (dependability assessment, verification, optimisation and selection of hardware models)
<p>This dataset exemplifies the results that can be obtained for several basic experimentation scenarios by means of DAVOS toolkit, available under MIT licence at https://github.com/IlyaTuzov/DAVOS</p> <p>Particular experimentation scenarios are:</p> <p>- Dependability assessment (LEON3 processor core)<br> - Dependability benchmarking of implementation alternatives (MC8051 processor core)<br> - Dependability-aware design space exploration (when implementing PIC core by Xilinx ISE toolkit)</p> <p><br> <strong>Installation steps.</strong></p> <p>1. Ensure to have python ver. 2.x installed. Type in terminal (cmd console in Windows): “python --version” – if the output looks like > Python 2.x.x – python is installed. <br> Otherwise download and install 2.x.x distribution: https://www.python.org/<br> Add python installation path to environment path variable.</p> <p><br> 2. Ensure to have Web-Server installed (Apache preferable). For instance, XAMPP: https://www.apachefriends.org/index.html</p> <p> <br> 3. Ensure that Web-server is configured to execute CGI scripts, particularly python-scripts:<br> In the 'httpd.conf' file (XAMMP control panel – button config in front of apache module):<br> </p> <p>– search for line Options Indexes FollowSymLinks and add ExecCGI, so the resulting line looks like this: <br> Options Indexes FollowSymLinks ExecCGI<br> – search for #AddHandler cgi-script .cgi, uncomment (remove #), and append “.py” to this line, so the results looks like:<br> AddHandler cgi-script .cgi .pl .asp .py </p> <p>4. Unpack the contents of *.zip package into the folder on the Web Server. <br> For instance into 'Web-server root folder'/Dataset.<br> The Web-Server root can be configured in the ‘httpd.conf’ file in the DocumentRoot section, for instance: <br> DocumentRoot "F:/HTWEB"<br> <Directory "F:/HTWEB"><br> ...</p> <p>5. In the web-browser navigate to the root directory of extracted package:<br> http://localhost/Dataset/index.html<br> </p>
On the evolution of technical lag in the npm package dependency network
<p>This is the replication package for paper "On the evolution of technical lag in the npm package dependency network" accepted for publication in ICSME 2018.</p>
Lifespan and fecundity data for: The evolutionary potential of diet-dependent effects on lifespan and fecundity in a multi-parental population of Drosophila melanogaster
<p>This repository contains 3 original data files for a study of heritability in a half-sibling design of outbred multi-parent population of Drosophila melanogaster treated with 3 nutritional conditions.</p> <p> </p> <p>1) lifespan_only.xlsx contains lifespan records.</p> <p>Columns:</p> <p>setDate, start date</p> <p>flipDate, observation date</p> <p>days, age</p> <p>fID, identity of line</p> <p>repl, replicate number</p> <p>treat, diet treatment (HS=high sugar, STD=standard, LY=low yeast)</p> <p>NstartF, starting number of females</p> <p>NstartM, starting number of males</p> <p>box, ccord, rcoord are position coordinates of a vial in a holding box</p> <p>deadF, number of female dead</p> <p>deadM, number of males dead</p> <p>cens, censored events</p> <p>carriedF, dead females that flip to a new food vial</p> <p>carriedM, dead males that flip to a new food vial</p> <p>flipper initials of observer</p> <p>time, time in which 108 vials were flipped.</p> <p> </p> <p>2) feclife_with-image-ids.xlsx - lifespan observation vials are matched with a specific image of eggs collected at a specific day (once a week).</p> <p>Columns:</p> <p>cameraid, image id assigned by the camera</p> <p>handcounted, images counted by hand</p> <p>handcount, number of eggs on an image counted by hand</p> <p>training_set, images that were used to develop and test a prediction model</p> <p>drop_from_lifespan & visually_recheck, quality control.</p> <p> </p> <p>3) egg_images.tgz - all original images. Each image represent fecundity from a single vial at a specific date (in feclife_with-image-ids.xlsx ). The images have been cropped to remove the excess area outside the egg disc. The area outside the circular disc has been converted to black to peripheral eliminate noise.</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.