JingpingWu637/Experimental-raw-data: Experimental raw data
JingpingWu637 · Zenodo (CERN European Organization for Nuclear Research) · 2024
No description provided.
Cited by 0Open access
Read the abstract, see who wrote it and who cites it, and get the citation in APA, MLA, Chicago or Harvard.
About 10,000 papers for “Experimental data”
JingpingWu637 · Zenodo (CERN European Organization for Nuclear Research) · 2024
No description provided.
Cited by 0Open access
Dalongshu994 · Zenodo (CERN European Organization for Nuclear Research) · 2025
No description provided.
Cited by 0Open access
Kevin J. Flynn (2615002), Darren R. Clark (10837416), Karen Tait (3263520) et al. · Figshare · 2025
<div> Dissolved organic matter (DOM) production, its degradation, and nitrification, are crucial interconnected processes in the ocean. Nitrate produced by nitrification supports oceanic primary production. Primary production is the main source of DOM which, when remineralised by heterotrophic bacteria, liberates ammonium, the substrate supporting activities of nitrifying bacteria and archaea. However, the mechanisms underpinning the interplay between these processes, their succession and feedback, remain poorly understood. To elucidate these dynamics, we conducted two distinct DOM degradation experiments where natural marine microbial communities were exposed to microalgal-derived DOM. After 150 d of DOM degradation, we observed a strong consumption of ammonium and an increase in nitrate concomitantly with increased presence of nitrifying prokaryotes. The time course of this event suggests that, when ammonium is not limiting, nitrification in the oceans is regulated by competition between nitrifiers and heterotrophic bacteria with growth of the latter being more efficient when sufficient labile DOM is available. However, carbon limitation due to progressive consumption of labile DOM and enrichment of recalcitrant compounds transfers competitive advantage to nitrifiers, in this way contributing to the emergence of nitrification. This hypothesis is supported by numerical simulations showing an increasing dominance of nitrifying groups concomitantly with increasing DOM recalcitrance. </div>
Cited by 0Open access
LIU, WENWEN · Figshare · 2025
Non-Hermitian physics has unveiled a realm of exotic phenomena absent in Hermitian systems, with the non-Hermitian skin effect (NHSE) showcasing boundary-localized eigenstates driven by non-reciprocal interactions. Here, we introduce a new class of non-Hermitian systems exhibiting pure decay modes—eigenstates with pure, smooth exponential decay, devoid of the oscillatory wave patterns typical of traditional NHSE. Modeled as directed graphs with non-reciprocal hopping, these systems reveal quantized decay charges, defined as the sum of decay constants along edges at each node, offering a novel topological invariant. We derive universal conditions for these modes, enabling versatile configurations from one-dimensional rings, directed graphs with complicated connectivity, to higher-dimensional lattices. Experimental validation using microwave resonant circuits confirms the predicted pure decay profiles. This discovery paves the way for potential applications in photonics, signal processing, and beyond, harnessing the unique topological properties of non-Hermitian networks.
Cited by 0Open access
Geisler, Ari · Figshare · 2025
Experimental data referenced in the publication "A Morphodynamic Network Model to Describe Cell Organization and Nematic Ordering in Monolayers".
Cited by 0Open access
Motsch, Sebastien · Figshare · 2017
Positions of pedestrians over time.<br>
Cited by 0Open access
Bowen Shi, Weihua Dong, Zhicheng Zhan · Figshare · 2022
Experimental data to accompany the paper "FIFCN: An adaptive feature integration fully convolutional network for predicting drivers’ visual attention". Full details of the data can be seen in the README.md and be explained in this paper.
Cited by 0Open access
Bowen Shi, Weihua Dong, Zhicheng Zhan · Figshare · 2022
Experimental data to accompany the paper "FIFCN: An adaptive feature integration fully convolutional network for predicting drivers’ visual attention". Full details of the data can be seen in the README.md and be explained in this paper.
Cited by 0Open access
Hannah Baumgartner · Figshare · 2021
Full dataset for experiments<br>
Cited by 0Open access
Roger Ribas Manero, Ali Shafti, Brendan Michael et al. · Figshare · 2016
Experimental data used in the following research paper, which presents a minimally invasive wearable muscle sensing device consisting of jogging leggings, with embroidered surface EMG electrodes. Muscle activity from the quadriceps group is collected during running trials on multiple surfaces. <br><br>R. B. Ribas Manero, J. Grewal, B. Michael, A. Shafti, K. Althoefer, J. Ll. Ribas Fernandez, M. J. Howard. "Wearable Embroidered Muscle Activity Sensing Device for the Human Upper Leg." EMBC (2016), In Press.<br><br>
Cited by 0Open access
Wen Ma · Open MIND · 2026
Example information
Cited by 0Open access
Yvonne Blum (590694), Hamid R. Vejdani (590695), Aleksandra V. Birn-Jeffery (115419) et al. · Figshare · 2015
<p>Analysis of variance (ANOVA) with four factors: Step type nested within drop height, individual as a random effect, and speed as a continuous effect. N = 367 steps. Significant differences () are indicated by asterisks.</p>
Cited by 0Open access
Qingguo Ma (667532), Linfeng Hu (482849), Jiaojie Li (2148364) et al. · Figshare · 2016
Cited by 0Open access
E. C. Kal (789545), J. van der Kamp (789546), H. Houdijk (789547) et al. · Figshare · 2015
<p>Supplementary tables containing the individual data used for the analyses in our manuscript. Individual patient characteristics (Table A; Demographics), individual data regarding movement speed (Table B; Single-Task Movement Speed), movement fluency (Tables C and D; Single-task Movement Fluency & Dual-task Movement Fluency), and dual-task costs (Table E; Dual-Task Costs).</p> <p>(XLSX)</p>
Cited by 0Open access
聪 刘 · Figshare · 2026
experiment data
Cited by 0Open access
Alisa Santarlasci (654398), Gianluca Martelloni (654399), Filippo Frizzi (654400) et al. · Figshare · 2015
<p>Abundance of (subfigure (a)) and (subfigure (b)) species from three different experiments.</p>
Cited by 0Open access
Peng, Jinlong, Ma, Fangfang, Quan, Quan et al. · Figshare · 2024
Experimental data
Cited by 0Open access
Americanae (AECID Library)
Cited by 0
Yizhang Shao · OSF Preprints (OSF Preprints) · 2020
Cited by 0
Data Archiving and Networked Services (DANS)
Cited by 0Open access