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Mendeley Data Showcase

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1970
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1970 2026
137737 results
  • PHASE
    This dataset contains municipality-level monthly climate, environmental, and health indicators for all 5,572 Brazilian municipalities from January 2010 to December 2023. Each observation is uniquely identified by the IBGE municipality code (cod_mun), year, month, and corresponding calendar date. Climate variables include monthly mean near-surface air temperature (mean_temp), mean relative humidity (mean_humidity), mean precipitation (mean_rain), mean monthly fire radiative power (mean_monthly_frp), mean number of days without rain (mean_monthly_diasemchuva), and a mean fire risk indicator (means_monthly_riscofogo). Municipalities are classified according to biome (bioma). Health data include the total number of Severe Acute Respiratory Syndrome cases reported per month (sum_srag). Spatial boundaries are provided through municipal polygons (geometry).
  • Effectiveness of Nurse-Led Interventions on Glycemic Control Among Adults With Type 2 Diabetes Mellitus: A Systematic Review and Meta-Analysis
    SEE UPLOADED DATASET
  • Calcium isotopes and thermodynamic calculations decipher fluorite mineralization in hydrothermal systems
    The supplementary materials include comprehensive analytical data and methodological details supporting the research on fluorite mineralization mechanisms. These materials feature Figures S1 (geological maps of Chinese fluorite deposits), S2 (aluminous mineral assemblages), and S3 (Nd-Sr isotope correlation). The Supplementary Methods outline the precise protocols for fluorite purification, Ca-Sr-Sm-Nd isotope analyses and trace/REE elements determinations. Tables S1−S19 present characteristics of global fluorite deposits (S1), Ca isotopic compositions (S2 andS3), Sr, Sm and Nd isotopic compositions (S4 and S5), extensive thermodynamic calculations of fluorite solubility under varying chemical systems (e.g., HCl, AlCl3, MgCl2, NaCl, CaCl2, SiO2; S6−S15), multicomponent system simulations (S16 and S17), fluid inclusion results (S18), and trace/REE element concentrations (S19).
  • Replication package for "The impact of flat taxes on income and wealth inequality" by Mahmut Zeki Akarsu and Michal Brzezinski
    Replication package for "The impact of flat taxes on income and wealth inequality" by Mahmut Zeki Akarsu and Michal Brzezinski, R&R at Economic Modelling.
  • 9 Crops and 41 Disease
    Contributors: Dr. Neeta Nain Research Scholars: Anand Kumar Jain Institute: Malaviya National Institute of Technology Jaipur Anadi Jain Institute: Government women engineering College Ajmer ( Bikaner Technical University, Bikaner) Domain Expert: Kota Agriculture University, Kota and Rajsthan Government Agriculture Department Crops: Cashew, Cassava, Tomato, Potato, Maize, Papaya, Sugarcane, Rice, Chilli
  • Evidence of enhanced global vegetation activity driven by reduced human pressures
    DATA from "Evidence of enhanced global vegetation activity driven by reduced human pressures": 1. Global vegetation changes before and during the COVID-19 pandemic 2. Government response stringency and the changes in human activities during the pandemic 3. Model code and estimation results for isolating the causal impact of reduced human disturbance on vegetation using a continuous DID model
  • Embargoed - 8 March 2027
    Data set for Quantification and Characterization of Soil Organic Carbon with different environmental gradients for the High Altitude Wetlands
  • Remittance inflows, democracy and economic freedom in developing countries: An approach based on democratic regimes
    Replication Package Paper Title: Remittance inflows, democracy and economic freedom in developing countries: An approach based on democratic regimes Authors: Relwendé SAWADOGO ( Université Joseph KI-ZERBO, Burkina Faso) Gervasio SEMEDO ( Université de Tours , Frnace) Pousseni BAKOUAN ( Université Virtuelle du Burkina ) Date: December 9, 2025 1. Overview This replication package provides all the publicly available 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.
  • Clustering Analysis Data
    Clustering Analysis Data
  • Process Data for Landform Classification
    Process Data for Landform Classification