Mendeley Data Showcase

This dataset contains the training and validation data used to develop and evaluate a ResUNet deep learning (DL) segmentation model for detecting floating algae from MODIS/Aqua imagery at the global scale. The model was trained using inputs including MODIS Rayleigh corrected reflectance (Rrc) in 7 spectral bands and the Alternative Floating Algae Index (AFAI), and is capable of identifying both microalgae (phytoplankton) scums and macroalgae (seaweed) mats. These include Trichodesmium, Noctiluca, Dinoflagellates, Cyanobacteria, Sargassum, and Ulva.

This data is the supplemental material for the manuscript, Caged-hypocrellin mediated antimicrobial photodynamic therapy as a dual-action strategy for fungal clearance and immune response regulation in drug-resistant Candida auris wound infections

This dataset supports the publication titled “MRN-CtIP, EXO1, and DNA2-WRN/BLM act bidirectionally to process DNA gaps in PARPi-treated cells without strand cleavage,” published in Genes & Development. It contains data from a range of experimental approaches, including single-molecule DNA fiber analysis, immunofluorescence, flow cytometry, electron microscopy, metaphase spread assays, and biochemical analyses. All cellular assays were conducted in human cell lines, while biochemical experiments used purified proteins from both human and yeast sources. The complete dataset is approximately 88 GB in size and includes 66,960 files organized into two main folders. The Figures folder contains 44,103 files across 1,651 subfolders and is 69.4 GB in size. The Supplemental Figures folder contains 22,805 files across 880 subfolders and is 18.7 GB.

Supplemental Material for the JAAD article above

Porcine deltacoronavirus (PDCoV) is an emerging enteric coronavirus that causes acute diarrhea and high mortality in neonatal piglets. In this study, we isolated and characterized a novel PDCoV strain, CH/HLJ/20, from diarrheic piglets in Northeast China. Full-length genome sequencing and phylogenetic analysis revealed that CH/HLJ/20 belongs to the Chinese lineage but harbors distinct recombination signals within the S gene, with Korea/DH1/2017 and CHN/Tianjin/2016 identified as putative parental strains. Comparative analysis identified two unique amino acid substitutions (Q10H and N98K) within the receptor-binding domain (RBD) of the spike protein. Structural modeling and molecular docking revealed that the CH/HLJ/20 RBD retains binding compatibility with aminopeptidase N (APN) receptors from multiple species, including pig, human, dog, cat, and chicken, indicating broad host receptor adaptability. Docking simulations using sequence-reverted mutants suggested that these substitutions may slightly attenuate receptor-binding affinity, potentially influencing cross-species transmission. Notably, the N98K residue has been identified as a critical site involved in both APN binding and neutralizing epitopes, therefore, its mutation may influence receptor engagement and antigenic properties. In vivo virus infection experiments demonstrated that CH/HLJ/20 caused rapid disease onset and 100% mortality in neonatal piglets, with severe villous atrophy and high intestinal viral loads. These findings highlight the evolving genomic diversity, pathogenicity, and zoonotic potential of PDCoV, underscoring the critical importance of continuous viral surveillance, timely isolation and functional characterization of emerging strains, and enhanced understanding of cross-species transmission mechanisms to inform effective disease control and prevention strategies.

The data utilized in this thesis encompass the following elements: landslide point locations, landslide point mapping diagrams, machine learning code, high-resolution figures for the thesis, and so on.

This dataset captures the voices and experiences of postpartum women in Niger State, Nigeria, exploring how they access, interpret, and act on information about maternal mental health especially postpartum depression. Collected through surveys and focus group discussions, the data reflects diverse perspectives across age groups, education levels, and cultural backgrounds. It sheds light on the role of healthcare providers, traditional media, digital platforms, and community networks in shaping awareness, attitudes, and help-seeking behaviour. Designed for researchers, policymakers, and health communicators, the dataset offers an authentic look at the intersection of risk communication, cultural context, and maternal wellbeing.

1、To explore the difference between sleep structure induced by anesthesia and natural sleep； 2、Analyze the mechanism of the difference between them； 3、This study aims to provide new ideas and methods for better treatment of insomnia by simulating natural sleep induced by drugs。

SI1. Photograph of the PCL-MWCNT composites with L929 cells in a 96-well plate. Performed in the In Vitro Pharmacology Laboratory at Universidad del Valle (photo taken by Jaime Muñoz, 2023). SI2. Tensile Tests of the Scaffold of A PCL(c)-MWCNT 1 %, B PCL(c)-MWCNT 3 % and C PCL(c)-MWCNT 5 %. SI3. Porosity of the 3 % PCL-MWCNT scaffold, observed by optical microscope. Microscopic examination showed that the 1% PCL–MWCNT scaffold possessed a well-interconnected pore network with an average diameter of 714.67 µm, suitable for effective cell adhesion and function. In contrast, the 3% scaffold exhibited higher porosity but with heterogeneous pore sizes—153.74 µm, 93.59 µm, and 550.26 µm—most of which were smaller than the optimal range for robust cellular attachment. SI4. Porosity of the PCL-MWCNT 5 % scaffold, observed by optical microscope The 5 % PCL-MWCNT scaffold revealed an abundance of interconnected pores. Several pores with the following diameters were identified: 568.62 µm (A), 250.73 µm, 234.54 µm and 466.53 µm (B), 345.88 µm (C), a macropore of 1922.78 µm (D), 534.84 µm (E) and 677.07 µm (F). These pore sizes are within the optimal range for cell growth and viability. SI5.Nanoindentation Hardness Enhancement in PCL–MWCNT Scaffolds Across Varying Nanotube Loadings. This figure presents nanoindentation hardness measurements for PCL–MWCNT composites containing 1%, 3%, and 5% MWCNT (w/w). Mean hardness values (n=10) show a statistically significant, progressive increase with nanotube content, as confirmed by ANOVA (p = 0.0003) and Tukey’s HSD post-hoc tests. SI6. Microscopic evaluation of cell proliferation on PCL scaffolds with 1% (a-c) and 5% (d-f) MWCNT reinforcement over 15 days. SI7. Effect of MWCNT Loading on Young’s Modulus and Tensile Strength of PCL–MWCNT Composites. This figure compares the Young’s modulus and tensile strength of PCL–MWCNT scaffolds containing 1%, 3%, and 5% MWCNT (w/w). Both properties peak at 3% loading, where optimal nanotube dispersion enables efficient stress transfer, yielding the highest stiffness and strength. At 5%, agglomeration effects reduce mechanical performance despite higher filler content. Pearson correlation analysis shows no statistically significant linear relationship between modulus and strength (r = 0.28, p = 0.821), indicating independent property variations driven by microstructural factors.

In this Python code, we are taking Input Script ( Love Letters) and processing this file into meaningful sentences/chunks so that a computational scene can be constructed and a well-formatted meta- JSON file is generated. The JSON file acts as a structure for building the sequence of video composition and at the same time it conducts a Timeline analysis. The python app is made in the Flask library and is used for evaluating the quality of SQL queries generated. These SQL queries are generated at runtime and gets their input parameter/ search arguments from the LLM. Basically, the LLM gives the extracted keywords from the input Love Letters script. The DAR system helps us evaluate and compute its performance parameters automatically as we go through the evaluation process.