Mendeley Data Showcase

This dataset provides high-resolution proximal multispectral imagery specifically designed for the detection and classification of Brown Spot disease (Bipolaris oryzae) in rice crops (Oryza sativa L.). The data were acquired in the tropical savannas of Casanare, Colombia (Yopal and Aguazul municipalities), representing one of the most productive rice regions in the country. 1. Data Acquisition and Sensor Specifications: The imagery was captured using a DJI P4 Multispectral (P4M) platform. The system records six discrete spectral channels: one RGB (visible) and five monochromatic bands centered at Blue (450 nm), Green (560 nm), Red (650 nm), Red-Edge (730 nm), and Near-Infrared (840 nm). To resolve early-stage necrotic lesions (often smaller than 1.5 mm), a proximal sensing strategy was implemented, maintaining a sensor height of 30–45 cm from the canopy with a 45° oblique perspective. 2. Dataset Composition: The dataset consists of 2,772 multispectral sets (totaling over 13,000 individual TIFF files) categorized into two primary classes: Healthy: Asymptomatic rice leaves confirmed under optimal nutrient conditions. Diseased (Brown Spot): Leaves exhibiting characteristic oval lesions with necrotic centers and chlorotic halos, ranging from early to advanced infection stages. 3. Ground Truth Validation: Class labels were assigned through a rigorous \textit{in-situ} inspection protocol. Ground truth was validated by expert agronomists from the TICTROPICO research group (Unitropico) and local technical assistants, following the phytosanitary monitoring standards for Colombian tropical rice. 4. Potential Applications: This dataset is optimized for training and benchmarking Deep Learning architectures (e.g., CNNs, ConvNeXt, Vision Transformers) and for the development of high-dimensional Bio-Spectral Tensors. It serves as a benchmark for precision phytopathology and autonomous crop health monitoring in tropical agricultural ecosystems.

Data for Boutabba, Nadia (2026),Transmission and Diffraction of EIG via SuperGaussian Pulser”, Mendeley Data, V1, doi: 10.17632/dhz7z2w4xh.1

This gridded dataset contains annual and monthly rainfall erosivity (RE) and erosivity density (ED) maps for Brazil. Data type: Raster (GeoTIFF) Spatial resolution: ~0.7 km² Spatial coverage: Entire Brazilian territory Projection: SIRGAS 2000 (EPSG:4674). Temporal resolution: Annual and monthly values Variables and units: Rainfall erosivity (MJ·mm·ha⁻¹·h⁻¹·year⁻¹ or MJ·mm·ha⁻¹·h⁻¹·month⁻¹) and erosivity density (MJ·ha⁻¹·h⁻¹) Mapping methodology: Random Forest algorithm

This data comes from the nine panelists who participated in the panel during the translation stage and the seventeen who participated in the panel for assembly of a flowchart to passive mobilization in ICU.

This trial (NCT03346109) is an open-label, non-inferiority, multicentre, randomised phase III trial to compare the efficacy and safety of MRLN-sparing radiotherapy versus standard radiotherapy in patients with non-metastatic nasopharyngeal carcinoma. Primary outcome was local relapse-free survival. The 3-year local relapse-free survival to assess the non-inferiority with a margin of 8% of MRLN-sparing radiotherapy compared with standard radiotherapy, has been reported previously. This updated report focused on 5-year survival, toxicity, and quality of life. Moreover, videofluoroscopic swallowing study and MRI measurements of pharyngeal contractors were performed for objectively-measured dysphagia This trial enrolled 568 patients from three Chinese medical centers between November 20, 2017, and December 3, 2018. With extended 5-year follow-up, MRLN-sparing radiotherapy was shown to significantly reduce observer-rated, patient-reported, and objectively-assessed dysphagia, while maintaining uncompromised efficacy. Novel objective assessments, including MRI-based measurements of pharyngeal constrictors and videofluoroscopic swallowing studies, supported by correlation analyses, demonstrated that reducing the volume and dose delivered to the superior and middle pharyngeal constrictors diminished early edema and late atrophy, translating into clinically meaningful improvements in swallowing function. These findings confirmed the long-term functional benefits of this radiotherapy de-intensification strategy and validated the principle of preserving swallowing function by sparing the MRLN region. The dataset includes ID data of patients and centers, baseline characteristics, 5 years of follow-up data, late toxicities related to radiotherapy, quality of life data, videofluoroscopic swallowing study data, MRI data of pharyngeal contractors.

Monocarbonyl analogs of curcumin (MACs), C66 [(2E,6E)-2,6-bis[(2-trifluoromethyl)benzylidene]cyclohexanone] and B2BrBC [(2E,6E)-2,6-bis(2-bromobenzylidene)cyclohexanone], were synthesized at the Institute of Chemistry, Ss. Cyril and Methodius University in Skopje, North Macedonia, following the previously published method (DOI: 10.17632/vdgz7pk6vh.1). MCF-7 human breast cancer cells (ATCC, Manassas, VA, USA; Cat. # HTB-22) were cultured in DMEM/F12 (50:50) medium (Corning Life Sciences, Corning, NY, USA; Cat. # 10-092-CM) supplemented with 10% FBS (Avantor, Radnor, PA, USA; Cat. # 89510-186) and antibiotic/antimycotic mixture (Corning Life Sciences, Corning, NY, USA; Cat. # 30-004-Cl) at 37 °C in 5% CO2 with 95% atmospheric air. For experiments, cells were seeded into 6-well plates (0.3 x 106 cells per well) in complete tissue culture media, supplemented with StemXVivo epithelial-to-mesenchymal transition (EMT)‑inducing media supplement (Bio‑Techne, Minneapolis, MN, USA; Cat. # CCM017), containing TGFβ1, Wnt5a, and antibodies against E‑cadherin, sFRP1, and Dkk‑1. After 48 h of incubation, the medium was replaced with pre‑warmed complete medium, and fresh EMT supplement was added along with either vehicle (DMSO), C66, or B2BrBC (100 µM each) for an additional 72 h. MCF-7 cells cultured in medium without a StemXVivo EMT Inducing Media Supplement, but with vehicle alone, served as the control. Total RNA was isolated using TRIzol reagent (Invitrogen, Thermo Fisher Scientific, Waltham, MA, USA; Cat. # 15596026) and quantified with a NanoDrop One spectrophotometer (Thermo Fisher Scientific, Wilmington, DE, USA). RNA samples were normalized to 1 µg total RNA and reverse transcribed into cDNA using qScript cDNA SuperMix (Quantabio, Beverly, MA, USA; Cat. # 95048) on a SimpliAmp Thermal Cycler (Applied Biosystems, Thermo Fisher Scientific, Carlsbad, CA, USA). qPCR was carried out using the Human Epithelial to Mesenchymal Transition PCR Array kit (QIAGEN, Hilden, Germany; Cat. # 330231 PAHS‑090ZA) with PerfeCTa SYBR Green FastMix (Quantabio, Beverly, MA, USA; Cat. # 95072) on a QuantStudio 3 Real‑Time PCR System (Applied Biosystems, Thermo Fisher Scientific, Carlsbad, CA, USA) under the following conditions: 2 min at 50 °C, 10 min at 95 °C, followed by 40 cycles of 15 s at 95 °C and 1 min at 60 °C, and a final dissociation stage of 15 s at 95 °C, 1 min at 60 °C, and 15 s at 95 °C. Cycle threshold (Ct) values were determined using QuantStudio Design & Analysis Software (Applied Biosystems, Thermo Fisher Scientific).

Dataset and Source Code for DermaIQA: No-Reference Quality Assessment of Dermoscopic Images This repository contains: Test Dataset - 150 high-quality dermoscopic images - 150 low-quality dermoscopic images Inference Code - Python implementation of DermaIQA - Inference pipeline for quality assessment - Requirements and dependencies - Usage examples (inference.py) Associated with the paper: Ferraris A., Branciforti F., Meiburger K., Veronese F., Zavattaro E., Savoia P., and Salvi M., "No-reference quality assessment of dermoscopic images using minimal expert supervision", Applied Sciences, 2026. Note: The training code and dataset generation pipeline are available upon reasonable request to the corresponding author.

This dataset provides continuous time series of in-situ soil moisture and precipitation collected over a six-year period (2015–2020) in a preserved area of the Caatinga biome, located in the Brazilian semiarid region at the Embrapa Semiárido experimental field in Petrolina, Pernambuco, Brazil. The dataset contains essential hydrological observations for investigating ecohydrological processes in seasonally dry tropical ecosystems. Soil moisture was measured in situ at a depth of 5 cm, representing volumetric soil water content (m³/m³). Measurements include daily averaged values and two fixed daily observations recorded at 6:00 AM and 18:00 local time. Precipitation data correspond to daily accumulated rainfall (mm), measured using a rain gauge installed within the same experimental area to ensure spatial consistency between variables. Data are provided in a single CSV (comma separated values) file structured according to international formatting standards: comma-separated fields, decimal point, and dates in ISO 8601 format (YYYY-MM-DD). Each row represents one day of observation. Althought the dataset was primarily developed to support the validation of satellite-derived soil moisture products, its applicability extends to multiple research fields, including hydrology, remote sensing, ecology, hydrological modeling, climate change studies, and water resource management in semiarid environments. By making these measurements publicy available, this dataset contributes to reducing the scarcity of long term in situ observations from preserved Caatinga areas, a biome that remains underrepresented in global hydrological databases.

This dataset supports the study of [1-¹³C]pyruvate as a hyperpolarized magnetic resonance probe for investigating metabolism in yeast. It includes raw and processed NMR data from SABRE hyperpolarization experiments, spectral time series from live-cell measurements, and kinetic model outputs characterizing metabolic conversion pathways. These data enable visualization and quantification of pyruvate metabolism in real time and provide a foundation for further analysis of pyruvate flux in biological systems.

Raw data of the published paper - https://doi.org/10.1016/j.ijhydene.2026.153692 Cite this: Int. J. Hydrogen Energy 212, 153692 (2026)