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

132689 results
  • Collection
    ​Department of Psychology
    Research data related to the ​​Department of Psychology of the University of Milano - Bicocca
  • Rider education at Swedish riding schools: comparing teachers' and pupils' perspectives
    Data collection was based on two online surveys, set-up via the online tool Netigate, and gathered feedback from 199 teachers and 368 pupils regarding education at Swedish riding schools as perceived by teachers and pupils.
  • Low-dose interleukin 2 antidepressant potentiation in unipolar and bipolar depression: Safety, efficacy, and immunological biomarkers
    We defined an antidepressant potentiation treatment with add-on low-dose interleukin 2 (IL-2). IL-2 is a T-cell growth factor which has proven anti-inflammatory efficacy in autoimmune conditions, increasing thymic production of naïve CD4 + T cells, and possibly correcting the partial T cell defect observed in mood disorders. We performed a single-center, randomised, double-blind, placebo-controlled phase II trial evaluating the safety, clinical efficacy and biological responses of low-dose IL-2 in depressed patients with major depressive (MDD) or bipolar disorder (BD). 36 consecutively recruited inpatients at the Mood Disorder Unit were randomised in a 2:1 ratio to receive either aldesleukin (12 MDD and 12 BD) or placebo (6 MDD and 6 BD). Active treatment significantly potentiated antidepressant response to ongoing SSRI/SNRI treatment in both diagnostic groups, and expanded the population of T regulatory, T helper 2, and percentage of Naive CD4+/CD8 + immune cells. Changes in cell frequences were rapidly induced in the first five days of treatment, and predicted the later improvement of depression severity. No serious adverse effect was observed. This is the first randomised control trial (RCT) evidence supporting the hypothesis that treatment to strengthen the T cell system could be a successful way to correct the immuno-inflammatory abnormalities associated with mood disorders, and potentiate antidepressant response.
  • LANLoad NEEPP: Landscape Assessment of Nutrient Loading to Waterbodies (LANLoad) in the Northern Everglades and Estuaries Protection Program (NEEPP) region
    LANLoad is a geospatial screening tool designed to facilitate water quality management decisions. It provides an estimate of the relative likelihood that nutrient inputs applied at specific locations on land will impact water quality. LANLoad is based solely on physical characteristics and may be used independently or with other relevant datasets. LANLoad NEEPP is available as a single comprehensive file "LANLoad_NEEPP_Overall" and as subsets corresponding to intersections between NEEPP and 15 FL counties. The datasets consist of cells (10m x 10m) ranked to reflect the likelihood that nutrients applied to a given terrestrial location will reach a downgradient surface waterbody. Possible ranks range from 1 to 9 with values increasing as the likelihood of nutrient transport to downgradient surface waterbodies increases. Ranks are based on 6 physical landscape parameters selected by Subject Matter Experts (SMEs) who also assigned relative weights to each parameter using the Analytical Hierarchy Process (AHP). During this exercise, the location considered by SMEs was the pilot study area, St Lucie County, FL, and the focal nutrient source was Onsite Sewage and Treatment Disposal Systems (OSTDS). Despite the original focus on OSTDS, LANLoad NEEPP can be used to gauge the likelihood of nutrient transport to surface waterbodies from other, similar, nutrient sources. The resulting AHP model demonstrated high internal consistency (Consistency Ratio: 0.01) and resulted in the following parameter weights, in order of importance: • Distance to Waterbody, 30.0%; • Depth to Water, 21.6%; • Hydraulic Conductivity, 20.7%; • Potential for Flooding, 10.9%; • Slope, 9.8%; and • Surficial Karstic Deposits, 7.0%. Geospatial datasets representative of these parameters were acquired (2024) and combined using a weighted overlay to produce LANLoad NEEPP. Details are available in a report (link below) and publication (in prep as of Jan 2026) LANLoad NEEPP performance was evaluated at multiple locations (selected via a random stratified process) within NEEPP by classifying LANLoad ranks less than or equal to 4 as “lower” and those more than or equal to 6 as “higher”. Then, two assessment methods were applied, both conducted blind: 1) SME Review: SMEs were provided with input datasets corresponding to 30 locations and asked to assign a classification of lower or higher. There was 92 % consistency between classifications assigned by LANLoad NEEPP and those assigned by SMEs. 2) Numerical modeling: Using ArcNLET-Py, nutrient loading to surface waters from uniform inputs was modeled in 10 locations, each containing 50 model points. Classifications assigned by LANLoad were 100% consistent with those assigned through ArcNLET-Py model results, i.e., locations classified by LANload as “higher” also had the highest ArcNLET-Py modeled nutrient loads while those classified as “lower” had the lowest modeled nutrient loads. Contact: Kai Rains – krains@usf.edu
  • Studies Comparing Immunogenicity of Biosimilars and their Reference Products for the Treatment of Plaque Psoriasis.
    Studies comparing immunogenicity of biosimilars and their reference products that are used for the treatment of plaque psoriasis. (*) indicates when a study reported EU-reference product. ADA percentages indicate the number of patients who developed anti-drug antibodies. NAb percentages indicate the percentage of total patients who developed neutralizing antibodies.
  • Dataset for 'Identification of immunodominant T cell epitopes in SARS-CoV-2 spike protein in Syrian hamsters'
    This dataset contains all raw data underlying the main and supplementary figures of the manuscript “Identification of Immunodominant T Cell Epitopes in the SARS-CoV-2 Spike Protein in Syrian Hamsters” published in The Journal of Immunology. It includes measurements of T cell responses in Syrian hamsters immunized with a replication-defective ChAd-SARS-CoV-2-S vaccine encoding a pre-fusion–stabilized Wuhan-1 spike protein. The dataset also provides comparative T cell–response data following in vivo CD4 or CD8 depletion. In addition, it identifies key CD4 and CD8 epitopes within the most immunogenic regions of the spike protein.
  • PA-MIP and C-MIP approaches on Critical Thinking Skills
    This dataset supports a study investigating the impact of PA-MIP and C-MIP approaches on students’ critical thinking skills (CTS), as well as the gender effect on CTS. The dataset includes coded data from both discussion transcripts and self-reflection reports, and Epistemic Network Analysis (ENA) matrices representing relationships among interpretation, analysis, evaluation, inference, explanation, and self-regulation.
  • From drill to chill: The effect of military service on subjective well-being in rural China
    README: Replication Package Paper Title From drill to chill: The effect of military service on subjective well-being in rural China Authors: Chunkai Zhao (South China Agricultural University) Boou Chen (Nanjing University of Finance and Economics) Huilin Xie (Sun Yat-sen University) Date: Jan 9, 2026 This folder contains the programs and materials required to reproduce the results of the paper "From drill to chill: The effect of military service on subjective well-being in rural China."
  • Hydroxyapatite characterization
    morphological and chemical characterization
  • The Economics of Resilience: How Firms Overcome Perceived Policy Shocks in a Dynamic Environment
    This replication package provides all the data, code, and instructions required to reproduce the main empirical results of the above-mentioned research paper. The package is designed to facilitate transparency and enable independent verification of all statistical findings reported in the study.
1
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