Mendeley Data Showcase

This dataset contains the raw data, processed data, simulation results, and scripts used to generate the figures in the manuscript. It is provided to support reproducibility and transparency of the research.

Post-operative management of osteosarcoma (OS) remains a clinical challenge due to the high risk of tumor recurrence and the bone repair. Meanwhile, the current bone substitute are granular forms, which are easy to dispersal and can notdfsdfs provide initial strength. Here, we developed a scaffold by in situ substitute active selenium (Se)-doped calcium phos-phate (SeCaP) granules into a moldable hydroxyapatite (HA) incorporated lac-tide-caprolactone copolymer (PLCL) to form bifunctional matrix (SeCaP@HP).sdfd

This dataset contains the physiological data associated with the manuscript “Strawberry Fights Back: Deciphering the Transition from Stomatal to Biochemical Photosynthetic Limitation under Neopestalotiopsis Crown Rot Infection in Strawberry”. The dataset includes repeated leaf gas-exchange measurements from strawberry plants subjected to Neopestalotiopsis sp. crown inoculation and Trichoderma treatments, as well as canopy retention metrics derived from image analysis at 21 days post-inoculation.

Supplemental Table 1

Dermoscopic Changes in Melanocytic Lesions During Anti–PD-1 Immunotherapy in Stage IIB–IV Melanoma: A Longitudinal Observational Study - Supplemental Materials

Companion public repository for the manuscript WhatsApp Digital Evidence in Legal and Forensic Psychology: A Computational Framework for Reconstructive Psychological Assessment. The repository contains non-identifying R scripts, parser logic, preprocessing rules, synthetic example data, output templates, documentation, and aggregate supplementary-table generation materials. The protected raw WhatsApp transcript and the licensed LIWC2007 Spanish dictionary are not included.

Repository dei dati relativi alle pubblicazioni dell'UO2 (Ospedale San Raffaele) inerenti al progetto PNRR-MAD-2022-12375859 "Inflammation and depression: a multidisciplinary approach to dissect pathogenetic mechanisms in the onset, comorbidity, and treatment response".

**Dataset Description** This dataset contains parallel Bangla and English sentence pairs collected and processed for language translation and linguistic research. The Bangla corpus includes sentences written in both **Cholito Bangla** (colloquial form) and **Sadhu Bangla** (classical/formal form), extracted from Bangla literary sources. Each sentence is labeled according to its linguistic style and paired with an English translation. The dataset consists of the following fields: * **sentence**: The sentence text (Bangla or English, depending on the dataset version). * **label**: Linguistic style label (`cholito` or `sadhu`). * **source**: Source category of the text (`Book`). Data preprocessing included sentence segmentation using Bangla punctuation markers, removal of noisy OCR artifacts, duplicate elimination, and dataset validation. The English version was generated through machine translation and aligned with the original Bangla sentences. The dataset is intended for research and development in: * Machine Translation (Bangla–English) * Natural Language Processing (NLP) * Text Classification * Style Transfer * Bangla Linguistic Analysis * Large Language Model (LLM) Training and Evaluation The dataset was randomly shuffled and split into training and testing subsets using a 70:30 ratio while preserving sentence alignment between the Bangla and English versions.

The public analysis panel (Compustat raw fields stripped, firm IDs anonymized), the derived exposure files, a data dictionary, the replication code (re-pathed to run from the package), the figures, a README, and a manifest. No licensed fields leaked. Now the data dictionary, README, and manifest.

This dataset supports a bibliometric systematic literature review (SLR) of peer-reviewed research on port waste management and port reception facilities (PRFs) published between 2000 and 2025. It provides the bibliographic corpus, the reference list, and the per-article thematic classification used in the study, so that the descriptive bibliometrics, the keyword co-occurrence analysis, and the thematic synthesis can be independently verified and reproduced.