LDHU3_10.0110

Ribosomal protein L35a | eL33; Leishmania donovani (HU3 strain)THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

Young KREEP-like mare volcanism from Oceanus Procellarum

Table S1. Major and trace element concentrations of scooped soil, drilled soil, agglutinate, breccia, and basalt clasts from CE-5 lunar soil.Table S2. Hafnium isotopic composition of the Chang'e-5 soil and basalt.Table S3. Major and trace elements compositions of clinopyroxene in CE-5 basalt Table S4. Compiled data of mineral proportion and element concentrations of KREEP basalts (15386, 72275, SaU 169) and other typical lunar meteorites.Table S4 Additions. Major and trace element compositions of La Paz mare basalt meteorites.Table S5. The modelling details of hybrid mantle source for Chang'e-5 basalts.Table S6.The examples of calculated chemical compositions of the sources, primary melts and evolved melts in the model of Table S5.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

(Appendix C) A Novel Comparative Framework for Assessing Flood Risks in Urban Planning: Bridging the Gap between Old and New Urban Areas

This repository code serves as supplementary data for the article titled 'A Novel Comparative Framework for Assessing Flood Risks in Urban Planning: Bridging the Gap between Old and New Urban Areas.'THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

The Effectiveness Evaluation of Systematization and Normalization Laboratory Safety Education

the origin data of The Effectiveness Evaluation of Systematization and Normalization Laboratory Safety EducationTHIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

Behavioural Model on solving mental depression

This code performs an analysis of the dataset containing information about root causes of depression among college students. Here's a breakdown of what each part of the code does:Loading the Dataset:The code uses Pandas to read a CSV file named 'root_causes_depression_data.csv' into a DataFrame named df. This dataset likely contains information about various factors contributing to depression among college students.Computing the Correlation Matrix:The code computes the correlation matrix of the DataFrame df using the corr() method. This matrix provides insights into the relationships between different variables in the dataset.Plotting the Correlation Matrix:It uses Seaborn and Matplotlib to create a heatmap visualization of the correlation matrix. The heatmap annotates each cell with the correlation coefficient, providing a visual representation of the strength and direction of correlations between pairs of variables.Generating Scatter Plots:For each pair of variables in the dataset, the code generates scatter plots using Seaborn's scatterplot function. These scatter plots visually represent the relationship between each pair of variables, helping to identify potential patterns or trends.Performing Statistical Analysis:Finally, the code conducts statistical analysis for each pair of variables. It calculates correlation coefficients and p-values using the pearsonr function from the scipy.stats module. These values quantify the strength and significance of the linear relationship between pairs of variables.Overall, this code provides a comprehensive analysis of the dataset, including visualizations of correlations and scatter plots, as well as statistical insights into the relationships between different root causes of depression among college students.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

Automatic measurement of hallux valgus angle

This is the dataset for the article, 'Automatic estimation of hallux valgus angle using deep neural network with axis-based annotation '. (Takeda et.al., Skeletal Radiology 2024)https://link.springer.com/article/10.1007/s00256-024-04618-2Cite this paper when you use this newral network model for research purposes.This dataset contains the developed deep neural network model, automatic HVA measurement application utilizing the neural network, and statistical analysis code used for the validation cohort to evaluate the accuracy of the neural network model.This dataset does not include the patient's radiographs because of the privacy concerns.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

Holographic scraping therapy alleviated the stress level in convalescent soldiers

supplementary video and scores of SAI and cortisol.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

Arabic Punctuation Dataset

This is a curated dataset, specifically designed to facilitate the study of punctuation. It has undergone rigorous manual annotation and verification on the basis of sentence structure, with sentence boundaries clearly marked. The dataset is in three folders:1.The ABC component of the Arabic Punctuation Dataset: This folder features the manually annotated punctuation gold standard. It consists of one chapter extracted from each of 45 non-fiction books by 36 authors from 19 different fields of study. It contains 45 text files with a total of 149K tokens in 13K sentences. 2.The CBT component: This folder has 1085 text files in 60 sub-folders, the full text of complete book translations that had been rendered from English into Arabic independently of this project. Their punctuation, we found out, mirrors the English source language texts; i.e., the sentence terminals in these Arabic texts follow the rules of English. In this folder are close to 3M words in more than 170K properly punctuated sentences.3.The SSAC-UNPC component: This folder constitutes the third part of the Arabic Punctuation Dataset. It has close to 12M disconnected, disordered, complete sentences in 79 text files. These scrambled sentences were extracted from the predominantly legal Arabic subcorpus of the United Nations Parallel Corpus (UNPC). The punctuation here is authentic. It was done by the UN translators as part of their work. We consider this to be an excellent punctuation corpus because it mirrors the rule-governed punctuation of the English source documents, especially in relation to sentence terminals. These scrambled sentences total more than 309M words.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

Nanoscale mechanisms of carboxyl carbon preservation during Fe(II)-induced ferrihydrite transformation

The research data used for the manuscript.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

Fault (re)activation and fluid-induced seismicity: an example from the Val d'Agri intermontane basin (southern Italy)

The agri*.prm files are the input files used in ASPECT 2.3.0 for our Val d'Agri model, to simulate the compressional-extensional history of the region, based on the assumptions described in our paper.The Graph*.m files are the Matlab files to generate the graphs shown in the paper.rheo.py is the file used to calculate the Coulomb stress values shown in Fig.8.VA-seismicity_2001-2019.csv is the earthquake database obtained by merging the catalogs in Serlenga and Stabile (2019), Stabile et al. (2021), and Balasco et al. (2021). In this catalog, only the events in the dashed box of Fig.1 are included. For each event, we provide the origin time, latitude, longitude and depth.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV