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

135788 results
  • Collection
    QubitDM
    Qubits for Direct Dark Matter Search. It provides tools and scripts for simulating interactions between dark matter candidates and superconducting transmon qubits, and for retrieving and analysing the outputs.
  • SaWS impact assessment: Methods and Results
    This dataset contains the detailed Methods and Results for the following paper: “Sargassum Watch System: an online tool to address societal needs” by the same authors of this dataset. Specifically, the dataset contains the following files: SaWS_Google_Analysitcs_Methods.docx SaWS_Google_Analysitcs_Results.xlsx These are the methods of using Google Analytics to generate Web access statistics, and the corresponding statistics. SaWS_Literature_Review_Methods.docx SaWS_Literature_Review_Results.xlsx These are the methods of conducting literature review, and the corresponding review results including the publication title and author names as well as how they are related to SaWS. SaWS_Media_Coverage_Methods.docx SaWS_Media_Coverage_Results.xlsx These are the methods of searching for relevant public media coverage (both online and print, in both English and Spanish), and the corresponding search results on how SaWS or the personnel behind SaWS were cited by the public media. SaWS_Survey_Questions.docx SaWS_Survey_Answers_anonymized.xlsx SaWS_Survey_User_Quotes_anonymized.docx These are the methods to conduct an online survey, along with the survey questions. The Excel file contains all detailed answers to the survey questions, with names and email addresses anonymized to protect privacy. The last file contains user narratives on how SaWS was used by them or by their organizations. To protect privacy, all user names are anonymized.
  • Replication Package: "Racial Self-Classification, Group Consciousness, and Public Employment Representation"
    Reproduces all tables and figures in: "Racial Self-Classification, Group Consciousness, and Public Employment Representation," by Diogo Baerlocher & Rodrigo Schneider published at the Journal of Development Economics.
  • Citrus wastewater metabarcoding data
    The dataset corresponds to 16s rRNA sequences obtained by NGS with Illumina Miseq. DNA was extracted from citrus wastewater before and after biological treatment with the fungal strain Pleurotus pulmonarius LBM 105 immobilized in vegetable sponge. The aim was to identify the changes in bacterial communities.
  • Response to O’Neill et al.’s “Disparities in melanoma survival in Asian American and Pacific Islander patients: A Surveillance, Epidemiology, and End Results (SEER) program-based analysis”
    Supplemental methods for the Letter: Notes & Comments article titled Response to O’Neill et al.’s “Disparities in melanoma survival in Asian American and Pacific Islander patients: A Surveillance, Epidemiology, and End Results (SEER) program-based analysis”, JAAD
  • Domestic Wedges and the (In)Sensitivity of CPI to Exchange Rates
    Replication package
  • Research Data
    Research Data of Mechanisms Governing Labile Organic Carbon Dynamics and Soil Organic Carbon Stabilization During Temperate Marsh Restoration
  • The DON isotope data in Western Tropical North Pacific
    This dataset comprises oceanographic measurements from a research cruise in the western tropical North Pacific Ocean. It includes two sheets: Metadata: Contains discrete water sample data from various stations and depths. Key parameters include: Location: Station codes, depth (m), longitude (°E), and latitude (°N). Stations span a meridional transect along 143°E from 0° to 22°N and a zonal transect along the equator from 143°E to 157°E. Physical properties: Salinity (PSU), temperature (°C), and derived parameters like N² (buoyancy frequency squared) and K (turbulent diffusivity). Nutrients: Concentrations of DIP, NO₃⁻, NO₂⁻, DSi, DON, and DOC (all in μM). Isotopes: δ¹⁵N-NO₃, δ¹⁸O-NO₃, and δ¹⁵N-DON (‰), which are useful for studying nitrogen cycling. Additional: SPEDON (possibly a rate or index), Recovery, and ln(SPEDON).
  • Threshold Effects in Agricultural Finance: Quantifying Critical Levels for Aid and Exports in Bangladesh’s Agricultural Growth Using Dynamic ARDL and Machine Learning
    Data were sourced from the World Bank and FAO. Agricultural FDI figures were interpolated using EViews, and values reported in USD millions were converted to current USD by multiplying by 10,000,000.
  • RS_Temp_H2SO4
    Each data includes the temporal variations of temperature and H2SO4 gas mixing ratio shown in Figure 9. Each column represents 1: Time 2: Temperature (K) 3: H2SO4 gas mixing ratio (ppmv)
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