Mendeley Data Showcase

This dataset contains the raw data supporting all main and supplementary figures used in the manuscript "An intranasal adenoviral-vectored vaccine protects against highly pathogenic avian influenza H5N1 in naïve and antigen-experienced animals" intended for publishing in Cell Reports Medicine. The dataset includes antibody and T-cell responses in naïve and vaccine-immunized mice as well as antibody responses in hamsters after intranasal ChAd-vectored H5 vaccination, along with viral titers following H5N1 challenge.

We hypothesized that 293T spheroids could model proliferation as a result of nutrient (glutamine, pyruvate, biotin) and genetic (FBXW7 KO) perturbation. Our data shows that in the absence of glutamine, pyruvate rescues proliferation only upon biotin supplementation and FBXW7 expression.

Ecological Security Pattern Construction data

The dataset contains original gel images and microscopy data

This dataset contains the qualitative coding architecture and frequency matrices used to identify the "32x Ethical Density Gap" between classical and modern leadership scripts. The data explores Interrogative Literacy—a cognitive competency for auditing leadership motives, methods, and consequences.

This dataset contains 364 clinically collected samples comprising anemia and non-anemia cases, obtained from patients at Atapara General Hospital. The data were collected under real clinical conditions and reflect routine diagnostic practices in a hospital setting. All samples were carefully observed, verified, and labeled by an expert physician, Dr. Mohammad Mohiuddin Alam, ensuring the reliability and medical correctness of the annotations. The labeling process followed standard clinical assessment criteria, minimizing noise and misclassification in the dataset. The dataset includes two primary classes: • Anemia • Non-anemia Each sample represents an individual patient record and was anonymized prior to inclusion to protect patient privacy. No personally identifiable information is included in the dataset, and ethical considerations were strictly maintained during data collection and preparation.

This is the full set of TEM images used to build statystical distributions of Au NP size in the paper "Study and Characterization of the Gold Nanoparticle’s Formation Mechanism by re-Irradiation of Linear Bromide-Induced Gold Nanoparticle Chains"

We present the first large-scale bilingual affective meme benchmark, designed to bridge the "pixel-to-emotion" gap in multimodal understanding. Comprising over 92,000 samples collected from culturally distinct platforms—Douban (Chinese) and Imgflip (English)—this dataset is unique in providing fine-grained facial emotion annotations that capture the non-literal emotional stances central to internet memes. By treating facial affect as a primary semantic anchor, this benchmark enables researchers to move beyond surface-level text-image alignment and develop robust models for emotion-aware meme retrieval and cross-cultural affective analysis.

This dataset includes detailed major element compositions (Table S1) and mineralogical compositions (Table S2) of bulk sediments of the WS core from Pearl River Estuary.

收集的原始数据