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4,480 results for “initiative”
Initial experiments with Uroprint tensile tester V1-3
<p>Data for tensile tests on bladder samples as measured on the version 1 tensile tester. Data is contained within two columns with voltages for position (column 2)and force (column 1). Conversion to position in mm is by the equation 15.66-position_voltage*4.2. Conversion to force in Newtons is by force_voltage*100*261*1.71*(-1/1000000). Data for tensile tests on PLMA, whole mouse bladder, and soft PDMS as measured on the version 1 tensile tester. Area is estimated from the included images with reference on the metal grips with a width of 4.4 mm and thickness of 0.3 mm.</p>
Experimental data from the initial validation of spark-eclib, a new framework for distributed metaheuristics in Spark
<p>This repository contains the experimental data obtained from two series of experiments to validate and profile <a href="https://doi.org/10.5281/zenodo.8431048"><strong>spark-eclib</strong></a>, a framework written in Scala to support the development of distributed population-based metaheuristics and their application to the global optimization of large-scale problems in Spark clusters:</p> <ul> <li>Experiments to validate the proposal of a generic topology for distributed PSO algorithms.</li> <li>Experiments to profile the parallel implementations of a PSO template.</li> </ul>
Reciprocal expression of MADS-box genes and DNA methylation reconfiguration initiate bisexual cones in spruce
<p>The naturally occurring bisexual cone of gymnosperms is considered to have been a potential intermediate stage in the origin of flowers, but the mechanisms governing bisexual cone formation remain largely elusive. Here, we employed transcriptomic and DNA methylomic analyses, together with hormone measurement, to investigate the molecular mechanisms underlying bisexual cone development in a conifer species <em>Picea crassifolia</em>. Our study reveals a "bisexual" expression profile in bisexual cones, especially in expression patterns of B-, C-class and <em>LEAFY</em> genes, supporting the out of male model. <em>GGM7</em> could be essential for initiating bisexual cones. DNA methylation reconfiguration in bisexual cones affects the expression of genes crucial for cone development, including <em>PcDAL12</em>, <em>PcDAL10</em>, <em>PcNEEDLY</em> and <em>PcHDG5</em>. Auxin likely plays an important role in the development of female structures of bisexual cones. This study unveils the potential mechanisms responsible for bisexual cone formation in conifers and may shed light on the development of bisexuality.</p>
Heterotelechelic silicones: Facile synthesis and functionalization using silane-based initiators
<p><span>The synthetic utility of heterotelechelic polydimethylsiloxane (PDMS) derivatives is limited due to challenges in preparing materials with high chain-end fidelity. In this study, anionic ring-opening polymerization (AROP) of hexamethylcyclotrisiloxane (D<sub>3</sub>) monomer using a specifically designed silyl hydride (Si–H)-based initiator provides a versatile approach towards a library of heterotelechelic PDMS polymers. A novel initiator, where the Si–H terminal group is connected to a C atom (H</span><span>–</span><span>Si–C) and not an O atom (H–Si–O) as in traditional systems, suppresses intermolecular transfer of the Si–H group, leading to heterotelechelic PDMS derivatives with a high degree of control over chain-ends. <em>In-situ</em> termination of the D<sub>3</sub> propagating chain end with commercially available chlorosilanes (alkyl chlorides, methacrylates, and norbornenes) yields an array of chain-end functionalized PDMS derivatives. This diversity can be further increased by hydrosilylation with functionalized alkenes </span><span>(alcohols, esters, and epoxides) to </span><span>generate a library of heterotelechelic PDMS polymers. Due to the living nature of ring opening polymerization and efficient initiation, narrow-dispersity (<em>Đ</em> < 1.2) polymers spanning a wide range of molar masses (2 – 11 kg mol<sup>−1</sup>) were synthesized. With facile access to <em>α</em>-Si–H and <em>ω</em>-norbornene functionalized PDMS macromonomers (H–PDMS–Nb), the synthesis of well-defined super-soft (<em>G</em>ʹ = 30 kPa) PDMS bottlebrush networks, which are difficult to prepare using established strategies, was demonstrated</span><span>.</span></p>
Data from: Dynamic models for impact-initiated stress waves through snow columns
<p>The objective of this research is to model snow's response to dynamic, impact loading. Two constitutive relationships are considered: elastic and Maxwell-viscoelastic. These material models are applied to laboratory experiments consisting of 1000 individual impacts across 22 snow column configurations. The columns are 60 cm tall with a 30 cm by 30 cm cross-section. The snow ranges in density from 135-428 kg m<sup>-3</sup> and is loaded with both short-duration (~1 ms) and long-duration (~10 ms) impacts. The Maxwell-viscoelastic model more accurately describes snow's response because it contains a mechanism for energy dissipation, which the elastic model does not. Furthermore, the ascertained model parameters show a clear dependence on impact duration; shorter duration impacts resulted in higher wave speeds and greater damping coefficients. The stress wave's magnitude is amplified when it hits a stiffer material because of the positive interference between incident and reflected waves. This phenomenon is observed in the laboratory and modeled with the governing equations.</p>
Data for "Turbulence Intermittency Effects on the Initiation Threshold of Sediment Motion in Natural Waters"
<p>Data used for the plots and tables can be found. </p> <p>1) <strong>timeseries.nc </strong>is used for producing figure 3.</p> <p>2) <strong>Scatter.xlsx </strong>is used for producing figure 4.</p> <p>3) <strong>Cal.xlsx </strong>is used for producing figures S2 S3.</p> <p>4) <strong>Graindis.xlsx </strong>is used for producing figure S4.</p> <p>5) <strong>modified_taucr.m </strong>is the modified equation code from this study.</p>
Dependence of tropical cyclone weakening rate in response to an imposed moderate environmental vertical wind shear on the warm-core strength and height of the initial vortex
<p>This study investigated the dependence of the early tropical cyclone (TC) weakening rate in response to an imposed moderate environmental vertical wind shear (VWS) on the warm-core strength and height of the TC vortex using idealized numerical simulations. Results show that the weakening of the warm core by upper-level ventilation is the primary factor leading to the early TC weakening in response to an imposed environmental VWS. The upper-level ventilation is dominated by eddy radial advection of the warm-core air. The TC weakening rate is roughly proportional to the warm-core strength and height of the initial TC vortex. The boundary-layer ventilation shows no relationship with the early weakening rate of the TC in response to an imposed moderate VWS. The findings suggest that some previous diverse results regarding the TC weakening in environmental VWS could be partly due to the different warm-core strengths and heights of the initial TC vortex.</p>
DPP-Related Initiatives Dataset
<p><span>The screening of DPP-related initiatives was identified early on in the CIRPASS project as crucial for gaining a comprehensive understanding of the status of DPP-related ongoing developments. For this reason, designing a characterisation framework capable of describing each initiative from different perspectives, collecting data from initiative owners and maintaining a knowledge base on this topic, not only in the first months of the project but throughout its entire duration, was therefore very important. For transparency, this process was described at length in CIRPASS deliverable D2.1, available </span><span><a href="https://cirpassproject.eu/project-results/"><span>https://cirpassproject.eu/project-results/</span></a></span><span>.</span></p> <p><span>The data provided in the accompanying excel file <strong>DPP_related_initiatives_dataset</strong> is the direct input provided to the survey by the initiative owners themselves or, in rare cases from CIRPASS partners with expertize on specific initiatives, who responded to an online questionnaire. </span><span>They are disclosed as entered, without any modifications or quality control by CIRPASS consortium members.<span> </span></span></p>
Supplemental Material to Doctoral Thesis "Engineering approach for predicting tunneling crack initiation in trailing-edge adhesive joints of wind turbine blades under mechanical fatigue and thermal residual stresses"
<p>This set supplements the figure data to the doctoral thesis "Engineering approach for predicting tunneling crack initiation in trailing-edge adhesive joints of wind turbine blades under mechanical fatigue and thermal residual stresses", DOI: <a href="https://doi.org/10.14279/depositonce-19144">10.14279/depositonce-19144</a></p>
Control of mitophagy initiation and progression by the TBK1 adaptors NAP1 and SINTBAD
<p><span>Mitophagy preserves overall mitochondrial fitness by selectively targeting damaged mitochondria for degradation. The regulatory mechanisms that prevent PINK1/Parkin-dependent mitophagy and other selective autophagy pathways from overreacting while ensuring swift progression once initiated are largely elusive. Here, we demonstrate how the TBK1 adaptors NAP1 and SINTBAD restrict the initiation of OPTN-driven mitophagy by competing with OPTN for TBK1. Conversely, they promote the progression of NDP52-driven mitophagy by recruiting TBK1 to NDP52 and stabilizing its interaction with FIP200. Notably, OPTN emerges as the primary recruiter of TBK1 during mitophagy initiation, which in return boosts NDP52-mediated mitophagy. Our results thus define NAP1 and SINTBAD as cargo receptor rheostats, elevating the threshold for mitophagy initiation by OPTN while promoting the progression of the pathway once set in motion by supporting NDP52. These findings shed light on the cellular strategy to prevent pathway hyperactivity while still ensuring efficient progression. </span></p>
Intel's AI-Powered Initiatives for Sustainable Energy
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OSU-UVic hosing run with LGM initial conditions (LGM Full)
<p>This directory contains model code, input, output, and scripts from a hosing (freshwater forcing in the North Atlantic) simulation with the OSU-UVic climate model (version 2.9.10) to investigate the effect of changes in the Atlantic Meridional Overturning Circulation (AMOC) on carbon and carbon-13 components in the ocean as described in Schmittner and Boling (2025) and Schmittner (2025).</p> <p>Model code is in the code/ subdirectory.<br>Model input data is in the data/ subdirectory and in the control.in and mk.in files.<br>Model output data is in the tavg*nc and tsi*nc files.<br>Ferret scripts used to produce the figures are in the ferret/ subdirectory.</p> <p>A more detailed description about the OSU-UVic climate model is available at https://github.com/OSU-CEOAS-Schmittner/UVic2.9 and https://doi.org/10.5281/zenodo.11224826.</p> <p>Andreas Schmittner (andreas.schmittner@oregonstate.edu)</p> <p>References:<br>Schmittner, A. and M. Boling (2025) Impact of Atlantic Meridional Overturning Circulation Collapse on Carbon Components in the Ocean, Global Biogeochemical Cycles, submitted manuscript.<br>Schmittner, A. (2025) Impact of Atlantic Meridional Overturning Circulation Collapse on Carbon-13 Components in the Ocean, Global Biogeochemical Cycles, submitted manuscript.</p>
Data from: The stochastic dynamics of early epidemics: probability of establishment, initial growth rate, and infection cluster size at first detection
<p>Emerging epidemics and local infection clusters are initially prone to stochastic effects that can substantially impact the epidemic trajectory. While numerous studies are devoted to the deterministic regime of an established epidemic, mathematical descriptions of the initial phase of epidemic growth are comparatively rarer. Here, we review existing mathematical results on the epidemic size over time, and derive new results to elucidate the early dynamics of an infection cluster started by a single infected individual. We show that the initial growth of epidemics that eventually take off is accelerated by stochasticity. These results are critical to improve early cluster detection and control. As an application, we compute the distribution of the first detection time of an infected individual in an infection cluster depending on the testing effort, and estimate that the SARS-CoV-2 variant of concern Alpha detected in September 2020 first appeared in the United Kingdom early August 2020. We also compute a minimal testing frequency to detect clusters before they exceed a given threshold size. These results improve our theoretical understanding of early epidemics and will be useful for the study and control of local infectious disease clusters.</p>
Designing industry 4.0 implementation from the initial background and context of companies
<p>Industry 4.0 is a promising concept that allows industries to meet customers' demands with flexible and resilient processes, and highly personalised products. This concept is made up of different dimensions. For a long time, innovative digital technology has been thought of as the only dimension to succeed in digital transformation projects. Next, other dimensions have been identified such as organisation, strategy, and human resources as being key while rolling out digital technology in factories. From these findings, researchers have designed industry 4.0 theoretical models and then, built readiness models that allow for analysing the gap between the company initial situation and the theoretical model. Nevertheless, this purely deductive approach does not take into consideration a company's background and context, and eventually favours one single digital transformation model. This article aims at analysing four actual digital transformation projects and demonstrating that the digital transformation's success or failure depends on the combination of two variables related to a company's background and context. This research is based on a double approach: deductive and inductive. First, a literature review has been carried out to define industry 4.0 concept and its main dimensions and digital transformation success factors, as well as barriers, have been investigated. Second, a qualitative survey has been designed to study in-depth four actual industry digital transformation projects, their genesis as well as their execution, to analyse the key variables in succeeding or failing. 46 semi-structured interviews were carried out with projects' members. The interviews have been analysed with thematic content analysis. Then, each digital transformation project has been modelled regarding the key variables and analysed with regards to succeeding or failing. Investigated projects have consolidated the models of digital transformation. Finally, nine digital transformation models have been identified. Industry practitioners could design their digital transformation project organisation and strategy according to the right model.</p>
DisFull_Lnc: discover full-length long noncoding RNAs without transcriptional initiation profiles
<p>DisFull_Lnc aims to identify full-length lncRNAs directly from raw RNA-seq data without H3K4me3 profiles from the corresponding sample.</p>
Density, surface tension, kinematic viscosity, distillation curve, and initial boiling point data of diesel-n-butanol and diesel-ABE blends
<p>This dataset contains measurement data for density, surface tension, kinematic viscosity, distillation curve, and initial boiling point for n-butanol and ABE (acetone, n-butanol, and ethanol in a volume ratio of 3:6:1) blended with standard diesel fuel. Properties of blends were evaluated in terms of temperature and biofuel volume fraction. For a detailed description of the measurements and further information, please see the published paper in Fuel journal (<a href="https://doi.org/10.1016/j.fuel.2021.122909">https://doi.org/10.1016/j.fuel.2021.122909</a>).</p>
Quantification of Electric Fields in Fast Breakdown during Lightning Initiation from VHF-UHF Power Spectra
<p>The data support the manuscript entitled “Quantification of Electric Fields in Fast Breakdown during Lightning Initiation from VHF-UHF Power Spectra” that is submitted to GRL. These files can be opened by MATLAB. The data can be used freely for scientific purposes with appropriate citation.</p>
Initial soil conditions outweigh management in a cool-season dairy farm's carbon sequestration potential
<p>Data used in the manuscript "Initial soil conditions outweigh management in a cool-season dairy farm’s carbon sequestration potential" (<a href="http://dx.doi.org/10.1016/j.scitotenv.2021.152195">10.1016/j.scitotenv.2021.152195</a>)</p> <p> </p> <p>Soil samples, gas fluxes, and biomass samples measured at the Organic Dairy Research Farm at the University of New Hampshire. Soil samples were in two sets, a spatially explicit set from 0 - 15 cm depth, and less spatially explicit samples taken at 10 cm increments. Soils were sampled for soil carbon and nitrogen content. Gas fluxes were measured using the chamber method with carbon dioxide and nitrous oxide gases measured on gas chromatographs with the change over time used to measure the gas flux rates. Forage biomass was measured by collecting biomass in 1 m2 plots. Please see the manuscript for more details on sampling.</p>
The ECS-FVCOM results and also the input variables of FMGDM, the initial particles, satellite pictures, and trajectories data
<p>The data for the manuscript: A Lagrangian-based Floating Macro<br> -algal Growth and Drift Model (FMGDM v1.0): application to the Yellow Sea green tides. <br> -----------------------------------------------------------------------------<br> Updata: 2021/03/18</p> <p>-----------------------------------------------------------------------------<br> Part 1: The ECS-FVCOM results and also the input variables of FMGDM<br> Part 2: The initial particles position imformation (lat, lon, depth)<br> Part 3: The satellite pictures of green tides in YS, 2014 and 2015</p> <p>Part 4: Drifters trajectories dataset (lat, lon)</p> <p> </p> <p>=============================================</p> <p>Version 5 updata: 2021/12/20</p> <p>Note: Modified and added some missing variables ('omega') in Part1,</p> <p> the results of ECS-FVCOM</p>
Cryo-EM maps: Mitoribosomal small subunit maturation involves formation of initiation-like complexes
<p><strong>Final cryo-EM maps for the complexes described in the article <em>Mitoribosomal small subunit maturation involves formation of initiation-like complexes</em></strong></p> <p>Abstract: Mitochondrial ribosomes (mitoribosomes) play a central role in synthesizing mitochondrial inner membrane proteins responsible for oxidative phosphorylation. Although mitoribosomes from different organisms exhibit considerable structural variations, recent insights into mitoribosome assembly suggest that mitoribosome maturation follows common principles and involves a number of conserved assembly factors. To investigate the steps involved in the assembly of the mitoribosomal small subunit (mt-SSU) we determined the cryo-electron microscopy structures of middle and late assembly intermediates of the Trypanosoma brucei mitochondrial small subunit (mt-SSU) at 3.6 and 3.7 Å resolution, respectively. We identified five novel assembly factors that together with the mitochondrial initiation factor 2 specifically interact with functionally important regions of the rRNA including the decoding center, thereby preventing premature mRNA or large subunit binding. Structural comparison of assembly intermediates with mature mt-SSU combined with RNAi experiments suggests a new, non-canonical role of mitochondrial initiation factor 2 and a stepwise assembly process, where modular exchange of ribosomal proteins and assembly factors together with mt-IF-2 ensure proper 9S rRNA folding and protein maturation during the final steps of assembly.</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.