Skip to content
Free planNo credit card requiredStart writing

Search 250 million research papers

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 “Data structure”

Data structure.

Kezia R. Manlove (3172992), Rebecca M. Belou (4840233) · Figshare · 2018

<p>Gender, institutional rank, and G8-status for lead authors, editorial board members, and handling editors across studied publications. Bars extend to 95% binomial confidence limits for all estimates.</p>

Cited by 0Open access

Data structure

Syarifah, Dewi · Figshare · 2026

This file is supporting data for an article in Human Resource Development International.

Cited by 0Open access

Data structure

THF · Bulletin of Miscellaneous Information (Royal Gardens Kew)

En informatique, une structure de données est une structure logique destinée à contenir des données, afin de leur donner une organisation permettant de simplifier leur traitement. Une structure de données implémente concrètement un type abstrait.

Cited by 0

Data structure

Dewi Syarifah · Figshare · 2026

This file is supporting data for an article in Human Resource Development International.

Cited by 0Open access

Data structure.

M. Barton Laws (4814283), Yoojin Lee (846133), Tatiana Taubin (4814280) et al. · Figshare · 2018

Cited by 0Open access

Data Structure.

Sëma Kachalo (3285345), Hammad Naveed (143132), Youfang Cao (14679) et al. · Figshare · 2016

<p>The boundary of a cell is formed by connected edges. It is modeled as an oriented closed curve in the counterclockwise direction. Each physical inner edge is represented twice using two half-edges, once each in opposite directions for each of the two contacting cells. Each physical outer edge is also represented twice with two half-edges, once for the cell, and once for the outside space.</p>

Cited by 0Open access

Data structure.

Maité Garrouste-Orgeas (326673), Antoine Périer (645743), Philippe Mouricou (645744) et al. · Figshare · 2015

Cited by 0Open access

Structure data

Schuler, Hannes, Koeppler, Kirsten, Daxböck-Horvath, Sabine et al. · DRYAD · 2016

Cited by 0Open access

Data structure.

Elina Late (9216590), Michael Ochsner (4609894) · Figshare · 2024

<div><p>The aim of this paper is to investigate the re-use of research data deposited in digital data archive in the social sciences. The study examines the quantity, type, and purpose of data downloads by analyzing enriched user log data collected from Swiss data archive. The findings show that quantitative datasets are downloaded increasingly from the digital archive and that downloads focus heavily on a small share of the datasets. The most frequently downloaded datasets are survey datasets collected by research organizations offering possibilities for longitudinal studies. Users typically download only one dataset, but a group of heavy downloaders form a remarkable share of all downloads. The main user group downloading data from the archive are students who use the data in their studies. Furthermore, datasets downloaded for research purposes often, but not always, serve to be used in scholarly publications. Enriched log data from data archives offer an interesting macro level perspective on the use and users of the services and help understanding the increasing role of repositories in the social sciences. The study provides insights into the potential of collecting and using log data for studying and evaluating data archive use.</p></div>

Cited by 0Open access

Data structure.

Xinhuan Zhang (9541577), Les Lauber (11868978), Hongjie Liu (285479) et al. · Figshare · 2021

Cited by 0Open access

Data Structure

Kim, Minsung · Mendeley Data · 2018

Innovation and macroeconomic data

Cited by 0Open access

Data structure

THF · Bulletin of Miscellaneous Information (Royal Gardens Kew)

En informatique, une structure de données est une structure logique destinée à contenir des données, afin de leur donner une organisation permettant de simplifier leur traitement. Une structure de données implémente concrètement un type abstrait.

Cited by 0

Data structure.

Justyna P. Zwolak (5403986), Sandesh S. Kalantre (5866877), Xingyao Wu (5866880) et al. · Figshare · 2018

<p>The generic data structure tree for the data files. The data type is given in square brackets. The simulation output is highlighted in gray. See Tables <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0205844#pone.0205844.t002" target="_blank">2</a> and <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0205844#pone.0205844.t003" target="_blank">3</a> for a reference list.</p>

Cited by 0Open access

Data structure

Syarifah, Dewi · Figshare · 2025

This file is supporting data for an article in Human Resource Development International.

Cited by 0Open access

Data structure.

Azam Asanjarani (14209893), Aminath Shausan (14209896), Keng Chew (3582263) et al. · Figshare · 2022

Cited by 0Open access

Data structure.

Jan-Ole Hesselberg (21453807), Pål Ulleberg (522303), Øystein Sørensen (4767861) et al. · Figshare · 2025

<div> Grant peer review processes are pivotal in allocating substantial research funding, yet concerns about their reliability persist, primarily due to low inter-rater agreement. This study aims to examine factors associated with agreement among peer reviewers in grant evaluations, leveraging data from 134,991 reviews across four Norwegian research funders. Using a cross-classified linear regression model, we will explore the relationship between inter-rater agreement and multiple factors, including reviewer similarity, experience, expertise, research area, application characteristics, review depth, and temporal trends. Our findings are expected to shed light on whether similarity between reviewers (gender, age), their experience, or expertise correlates with higher agreement. Additionally, we investigate whether characteristics of the applications—such as funding amount, research area, or variability in project size—affect agreement levels. By analyzing applications from diverse disciplines and funding schemes, this study aims to provide a comprehensive understanding of the drivers of inter-rater agreement and their implications for grant peer review reliability. The results will inform improvements to peer review processes, enhancing the fairness and validity of funding decisions. All data and analysis scripts will be publicly available, ensuring transparency and reproducibility. </div>

Cited by 0Open access

Data Structure.

David A. Burdge (542675), Igor G. L. Libourel (535250) · Figshare · 2015

&lt;p&gt;Bioreactor parameters access is synchronized by providing the bioreactor, time protocol and python protocol VIs with a data value reference (DVR) to the parameters. The DVR is used to access the bioreactor parameters through an in place element structure. The in place element structure performs operations on the bioreactor parameters without creating a copy in memory. This data structure enables the data exchanged with the bioreactor PCU to be shared with the protocol VIs without causing race conditions.&lt;/p&gt;

Cited by 0Open access