Mendeley Data Showcase

This collection contains four datasets concerning the Beiuș High School during its first century of operation (1828-1928). On the one hand, two datasets present the students and the teachers and their extensive social background. On the other hand, two datasets geographically annotate the biographical information regarding the students and the teachers. Supported publications: Forthcoming

This dataset contains geographical annotations with information concerning the teachers employed the Beiuș High School between 1829 and 1928. An 1856 map of the Habsburg Empire (General-Karte Der Oesterreichischen Monarchie von J. Scheda) was used to illustrate the birthplace, primary, secondary, and superior education of the 144 teachers employed at the high school. Supported publications: Forthcoming

This dataset contains geographical annotations with the birthplace of the students who attended the Beiuș High School between 1829 and 1928. The dataset was constructed, as in the case of the main dataset with the students, based on student files, lists of students, and other primary documents. The geographical coordinates of 7,133 birthplaces were established. Supported publications: Forthcoming

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.