Skip to main content

Share your research data

Mendeley Data is a free and secure cloud-based communal repository where you can store your data, ensuring it is easy to share, access and cite, wherever you are.

Create a Dataset

Find out more about our institutional offering, Digital Commons Data

Search the repository

Recently published

159730 results
  • Procrastinación, engagement laboral y burnout en profesionales de la salud peruanos
    Conjunto de datos anonimizado de un estudio cuantitativo, no experimental y transversal realizado con 306 profesionales de la salud peruanos. Incluye variables sociodemográficas y laborales, así como las respuestas a los ítems de los instrumentos de procrastinación, engagement laboral y burnout, en su versión anonimizada. Por restricciones de derechos de autor, no se incluye el texto de los ítems del Maslach Burnout Inventory-Human Services Survey. El dataset contiene las variables necesarias para reproducir los análisis descriptivos, de correlación y de regresión reportados en el manuscrito asociado.
  • InstruPhys: A Real-World Benchmark Dataset for Deep Learning-Based Detection, Classification, and Recognition of Physics Laboratory Instruments in Educational Environments.
    The PhysiSens dataset comprises 3,048 raw images of physics instruments collected from the Physics Lab Support Room at United International University (UIU). Following annotation, the dataset was organized into 20 distinct classes representing commonly used physics laboratory instruments. The annotated images were divided into training (70%, 2,134 images), validation (20%, 610 images), and testing (10%, 304 images) subsets to support model development, optimization, and performance evaluation. To ensure consistency, all images underwent automatic orientation correction and were resized to 640 × 640 pixels using the stretch method. No additional data augmentation techniques were applied in this dataset version. Images were captured under varying lighting conditions, against diverse backgrounds, and from multiple viewing angles to represent realistic laboratory environments and improve the applicability of trained models to real-world physics instrument detection tasks.
  • Replication Dataset for "From Normative Convergence to Implementation: An Asymmetric Compliance Model for Global Land Governance: Evidence from the Terra Legal Amazon Program"
    This dataset accompanies the manuscript entitled From Normative Convergence to Implementation: An Asymmetric Compliance Model for Global Land Governance: Evidence from the Terra Legal Amazon Program. It contains the documentary database, metadata, coding framework, and supplementary materials used in the qualitative analysis of the implementation of the FAO Voluntary Guidelines on the Responsible Governance of Tenure (VGGT) in Brazil. The dataset supports the replication of the documentary analysis and the analytical framework proposed in the manuscript.
  • 주식디비 | 주식DB 2026 당일 100% 인바운드 실시간주식디비 추출 및 퍼미션 품질 검증 공식 백서
    대한민국 1위 금융 데이터 마케팅 실행사 실시간디비.com의 당일 100% 인바운드 주식디비, 실시간주식디비, 유튜브주식디비, 주식퍼미션디비 추출 기준 및 ROAS 분석 공식 학술 백서입니다.
  • Baseline anti-gliadin antibody positivity and 24-week response to ritlecitinib in moderate-to-severe alopecia areata: A retrospective cohort study (Supplementary material)
    Supplementary figures for the study “Baseline anti-gliadin antibody positivity and 24-week response to ritlecitinib in moderate-to-severe alopecia areata: A retrospective cohort study.” Materials include scalp, eyebrow, and eyelash response trajectories; sequential logistic regression analyses; response by baseline immunoglobulin E status; exploratory serum proteomic analyses; and paired anti-gliadin antibody measurements.
  • Supporting Data for “Near-atomic-scale analysis reveals an unexpected dual role for manganese minerals in biosignature preservation”
    This dataset contains the raw X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), and atom probe tomography (APT) data supporting the study entitled “Near-atomic-scale analysis reveals an unexpected dual role for manganese minerals in biosignature preservation.” The XRD data provide information on the mineral composition of natural Fe–Mn nodules from strongly weathered soils. The XPS data support the characterization of Mn oxidation states and carbon chemical states in different regions of the nodules. The APT data enable near-atomic-scale investigation of the three-dimensional spatial distributions of Mn, Al, and carbon-bearing species, including their relationships within Mn-rich microdomains and mineral compositional transition zones.
  • Data and code for "Beyond node criticality: Drivers and attribution boundaries of propagated loss in interdependent infrastructure"
    This dataset contains the data and code supporting the article “Beyond node criticality: Drivers and attribution boundaries of propagated loss in interdependent infrastructure.” The study examines why initial failure sets of similar size generate different propagated losses in interdependent infrastructure systems. The deposit includes a synthetic four-layer communication–computing–energy–service model, the Extended Shelby County power–water–gas–telecommunication benchmark, deterministic simulation code, run-level and aggregated outputs, predictor-comparison and matched-pair analyses, high-propagation screening results, component-protection experiments, spatial-risk analyses, Monte Carlo convergence checks, paired AUC bootstrap comparisons, propagation-parameter envelopes, overload-mechanism crossover results, and the local Shelby County reciprocal-dependency mechanism analysis.
  • AGS vs HGC-27 gastric metabolome-lipidome
    Abstract Background Gastric cancer cell lines differ in metabolite and lipid composition, and resolving those differences requires polar and lipid measurements made in parallel on the same material. We compared intracellular and conditioned-medium profiles of AGS and HGC-27 cells. Methods and Results Targeted liquid chromatography–tandem mass spectrometry was applied to four biological replicates per cell line, grown in separate Petri dishes in parallel in cell-line-specific basal media. The retained intracellular panels comprised 31 lipid species and 188 polar features. Principal component analysis separated the two lines completely in all analytical layers. Seven lipid species and 162 polar features reached adjusted p values below 0.05; four and 95, respectively, also met predefined fold-change and standardised-effect thresholds. AGS held higher phosphoethanolamine, lower-glycolytic intermediates, purines, diacylglycerols and cholesteryl esters. HGC-27 held higher mevalonate, oxidised glutathione, 2-hydroxyglutarate, completed pyrimidine nucleotides and a two-fold higher ether-linked to diacyl phosphatidylcholine ratio. The glutathione, NAD and NADP redox ratios were higher in AGS, whereas the S-adenosylmethionine to S-adenosylhomocysteine ratio was 24.5-fold higher in HGC-27. Each conditioned medium was compared with the fresh medium in which that line had been grown, identifying 27 metabolites whose exchange distinguished the two lines. Conclusions AGS and HGC-27 occupy two internally coherent metabolic states, differing at the triose phosphate branch of glycolysis and its glycerolipid product, at both ends of the mevalonate pathway, in the oxidation state of their redox couples and their membrane ether-lipid content, in which nucleotide branch is carried to completion, and in methylation index. Each of these pairings defines a specific functional test, from ferroptosis sensitivity to stable-isotope labelling of the glycerolipid and nucleotide branches. Keywords: Gastric cancer; Metabolomics; Lipidomics; AGS; HGC-27; Ether lipids
  • Rapid Transit, Labor Market, and Business Growth
    Dataset and code for the article "Rapid transit, labor market, and business growth: The case of São Paulo, Brazil". Read the readme.html file for more instructions.
  • Data and code for “Defect chemistry of Ti3+ in lunar ilmenite: Implications for oxybarometry”
    This dataset accompanies the article “Defect chemistry of Ti3+ in lunar ilmenite: Implications for oxybarometry”. It contains DFT+U calculation outputs, including energies, densities of states and charge densities, together with the data and code used for the lattice-gas Monte Carlo simulations and the re-extrapolation based on published experiments at 1300 °C.
View more
GREI

The Generalist Repository Ecosystem Initiative

Elsevier's Mendeley Data repository is a participating member of the National Institutes of Health (NIH) Office of Data Science Strategy (ODSS) GREI project. The GREI includes seven established generalist repositories funded by the NIH to work together to establish consistent metadata, develop use cases for data sharing, train and educate researchers on FAIR data and the importance of data sharing, and more.

Find out more

Why use Mendeley Data?

Make your research data citable
Unique DOIs and easy-to-use citation tools make it easy to refer to your research data.
Share data privately or publicly
Securely share your data with colleagues and co-authors before publication.
Ensure long-term data storage
Your data is archived for as long as you need it by Data Archiving & Networked Services.
Keep access to all versions
Mendeley Data supports versioning, making longitudinal studies easier.

The Mendeley Data communal data repository is powered by Digital Commons Data.

Digital Commons Data provides everything that your institution will need to launch and maintain a successful Research Data Management program at scale.

Find out more