Share your research data

This study examines the effects of different dietary concentrate-to-forage ratios on the growth performance, carcass traits, and meat quality of housed yaks. A total of 40 yaks from the Qinghai Plateau, aged 8 to 9 months with similar initial body weights, were randomly assigned to four dietary groups with concentrate-to-forage ratios of 80:20 (C80), 65:35 (C65), 50:50 (C50), and 35:65 (C35). Following a 15-day adaptation period, the yaks underwent a 105-day feeding trial.

Why are urban gender wage gaps lower in northern than in southern states of India, despite greater gender equality (in non-wage dimensions) in the south? I show that this is due to greater suppression of women’s low-wage employment in the north, resulting in stronger positive selection: selection-corrected gaps that impute wages for the non-employed based on observed and unobserved characteristics are similar for both north and south. I suggest that stronger social norms in the north that stigmatize women’s wage work produce lower participation rates, particularly among less-educated, low-wage women who do not have access to white-collar jobs. These patterns of participation introduce significant selection biases in the measurement of gender wage gaps and help explain why urban gender wage gaps are lower in the north.

Description This dataset, titled Eggplant_Leaf_Disease_Dataset, consists of 3,300 high-resolution images of eggplant (brinjal) leaves classified into six categories. It was developed as part of an academic project by undergraduate students from the Department of Computer Science and Engineering, Netrokona University, Bangladesh. The images are categorized into the following six classes: - Eggplant Healthy Leaf - Eggplant Insect Pest Disease - Eggplant Leaf Spot Disease - Eggplant Mosaic Virus Disease - Eggplant Small Leaf Disease - Eggplant Wilt Disease Each category includes both original images and augmented images. All images are in JPG format and resized to 512x512 pixels using high-quality LANCZOS interpolation to preserve clarity and detail. Data Augmentation To enhance model performance and robustness, the following augmentation techniques were applied using PyTorch’s torchvision library: - Random Horizontal Flip - Rotation (±20 degrees) - Color Jitter (brightness, contrast, saturation, hue) - Random Resized Crop to 512x512 Use Cases This dataset is ideal for: - Image classification tasks -Transfer learning model fine-tuning - Data augmentation research - Academic or student machine learning projects License This dataset is published under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. You can use, share, and adapt the dataset with proper attribution.

This dataset consists of chest CT scan images collected from the National Institute of Diseases of the Chest and Hospital (NIDCH) in Dhaka, Bangladesh. It has been curated to support research in medical imaging, with a focus on the classification and early detection of lung-related diseases using artificial intelligence and deep learning methods. The dataset is divided into three diagnostic categories: 1050 images of malignant cases, 416 images of normal (healthy) cases, and 467 images of benign cases. Each image was carefully labeled and verified by Dr. Sabina Akter, MBBS, MD (Radiology & Imaging), Associate Professor and Head of the Department of Radiology and Imaging at NIDCH. The annotations were conducted under clinical supervision to ensure high-quality labeling suitable for academic and scientific use. This dataset provides a valuable resource for training, validating, and benchmarking AI-based models for automated diagnosis, particularly in the context of thoracic diseases and pulmonary abnormalities. It can also serve as a foundation for developing clinical decision support systems intended for deployment in real-world healthcare settings.

The plasma and urine neurotransmitters of ASD and healthy controls

This repository contains tps. files of the eleven species of the genus Cyprideis from the western margin of Lake Pannon, covering a stratigraphic range from the pre-lacustrine Late Sarmatian to the lacustrine Middle Pannonian. The files are digital approximations of right female valves photographed in external lateral view using a Nikon light microscope and a Nikon digital camera. The anterior and posterior spines were removed from the optic images using graphical software. The optic images were then processed with TPS-dig software (version 1.40; Rohlf, 2004).

Although the unfolded protein response (UPR) is involved in brain development, its roles remain unclear. Here, we report that deletion of ATF6, a major branch of the UPR, consisting of ATF6α and ATF6β, in the developing brain caused microcephaly and neonatal death in mice. Analysis of Atf6a/Atf6b double conditional knockout (dcKO) brains revealed diverse neuronal phenotypes such as reduced neurogenesis, increased cell death, impaired cortical layer formation, and axon projection defects. Furthermore, hypervasculature, glial defects, and neuroinflammation were observed in dcKO brains. Notably, hypervasculature was detected at E14.5, when endoplasmic reticulum (ER) stress was morphologically unclear, but the UPR was activated to a greater extent in dcKO brains. Expression profiles revealed reduced levels of molecular chaperones in the ER and enhanced levels of PERK- and IRE1-downstream molecules, including VEGFa, in dcKO brains. Administration of a chemical chaperone 4-phenylbutyric acid partly rescued phenotypes of dkKO mice, suggesting roles of ATF6 for improving proteostasis and for coordinating the UPR activation.

Data were collected from a controlled aluminium can manufacturing environment over the course of one week during regular production shifts. A systematic random sampling technique was employed to ensure that the data were representative of typical process conditions. For each batch produced, samples were taken at predetermined intervals, capturing real-time production conditions. A total of 10 samples were collected for each of the six critical quality parameters: Bright Can Axial Load Finished Can Height Flange Width Groove Diameter after Reformer Dome Depth with Reformer Finished Can Buckle Pressure

Raw data related to images submitted in the AA manuscript