Mendeley Data Showcase

The Qujing area in Yunnan, China represents the type locality for non-marine Devonian strata in China. To evaluate how Devonian vascular plant radiation influenced chemical weathering and climate, we analyzed mineralogical composition, major and trace elemental geochemistry, and Li isotopes in bulk samples and clay fractions from Lower Devonian paleosols—including cycle 33 of the Xujiachong Formation.The data shows that weathering was generally moderate but increased significantly during a short phase in the early Pragian stage, coinciding with a rapid rise in early plant diversity.

This file contains supplementary tables (Tables S1–S3)

Data for paper “KRT17 Promotes Ovarian Cancer Stemness，Progression, and Resistance to Platinum via Stabilization of EPN1 and Activation of the Wnt/β-catenin Pathway”---PARTI

The EEG dataset consists of preprocessed data recorded in 30 participants without OCD (Antisaccade_control.zip) and in 31 participants with OCD (Antisaccade_OCD.zip). In the data markers of the antisaccade onset were added.

This dataset and R code are relevant to the following: Data location and timeframe: All data were collected in 2021 in Lake 378 at the Experimental Lakes Area in Ontario, Canada Study Title: Microplastic addition has no detectable effect on ecosystem metabolism or diel dinitrogen flux in a large in-lake mesocosm experiment under oligotrophic conditions Authors: Raul Lazcano et al. Overarching project: The "pELAstic" project: A series of experimental additions of microplastics to Lake 378 at ELA, including pelagic mesocosms, littoral mesocosms, and the whole lake. Organization: The published datasets and code are divided into 5 folders. Folders 1 and 2 have the data and code to calculate ecosystem metabolism in the mesocosms and at the whole-lake scale Folder 3 has the data and code to calculate N2 flux in the mesocosms and whole-lake scale Folder 3 also has the data and code to compare the N2 dynamics across mescocosms and between lake habitats (epilimnion and hypolimnion) Folder 4 has the data and code for generalized linear mixed models (GLMM) to compare dissolved oyxgen, temperature, and metabolsim among mesocosms Folder 5 has the data and code for GLMM to compare metabolism and N2 dynamics between the mesocosms and the whole-lake level. Additional context: For the R code files in each folder, the code begins with a heading describing the contents Within the code, directions are noted throughout to describe steps for figure composition and statistical analysis To generate the summary stats tables in the manuscript and supplemental information The output from Rstudio was pasted into excel, and the table formatting completed within excel

K isotope data for the manuscript entitled "K isotope behavior in topsoil from the southeastern margin of the Tibetan Plateau" to be published in Geochimica et Cosmochimica Acta. The SupplementaryData.xlsx file contains three tables: K isotope ratios, elemental results, and XRD results for the study region. The SupplementaryFigure.docx file contains a figure showing the elemental concentrations of K, Na, Mg, Fe, Al, and Ti in the study area.

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The file contains the original backscatter electron images, X-ray maps, as well as the detailed reference data, original MELTS/pMELTS modeling results and calculation results presented in the figures of the main paper and supplementary materials in the manuscript titled "The less oxidized enriched martian mantle reservoir: new constraints from shergottite Northwest Africa 12269/12564." Authored by Yunlong Wu, Wei Du*, Jing Yang, Keqing Zong, Shijie Li, Sen Hu, Xiaobin Cao

The research hypothesis is that, under the dual-phase-lag (DPL) heat conduction model, the temperature field distribution in a material subjected to a moving heat source is strongly influenced by parameters such as source velocity, intensity, and phase-lag times. The data consists mainly of .mat files containing temperature fields (e.g., T.mat, T1.mat), spatial grids (e.g., x.mat, y.mat), and some analytical solution data, all generated by MATLAB simulations. Each .mat file contains variables such as T (temperature field as a 2D matrix), x and y (or r and θ for polar coordinates), and time steps, with physical parameters like diffusivity and phase-lag times set in the scripts. To use the data, load the .mat files in MATLAB, where each row/column of T corresponds to specific spatial coordinates given by x, y, r, or θ. Visualization can be done using MATLAB plotting functions, and researchers can modify the main scripts to generate new data for different parameter sets or to compare with analytical results. This dataset enables the study and validation of DPL heat conduction models under various moving heat source scenarios.

Raw unprocessed results for mechanical characteristics, scanning electron microscopy, mercury intrusion porosimetry and termoanalysis, obtained during the tests, are presented in the dataset.