cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/np2fx99hn6.2
title: GutierrezBarragan_CB2021_awake_rsfMRI_mouse

description: Resting state fMRI data from n=10 awake mice from Gutierrez-Barragan et al. 2021  (DOI pending). Scans were acquired at the IIT laboratory in Rovereto (Italy) on a 7.0 Tesla MRI scanner (Bruker Biospin, Ettlingen) with a BGA-9 gradient set, a 72 mm birdcage transmit coil, and a four-channel  solenoid receive coil. Awake scans used a single-shot echo planar imaging (EPI) sequence with the following parameters: TR/TE=1000/15 ms, flip angle=60°, matrix=100 x 100, FOV=2.3 x 2.3 cm, 18 coronal slices (voxel-size 230 x 230 x 600 µm), slice thickness=600 µm and 1920 time points, for a total time of 32 minutes.  It is suggested to remove the first 120 scans (2 minutes) to account for thermal gradient equilibration.
DOI: 10.17632/jh9trvbjbv.2
title: BraNet: A mobil Application for Breast image classification based on Deep Learning algorithms.

description: Mobile health apps are widely used for breast cancer detection and diagnosis. Artificial intelligence plays a crucial role in developing medical tools, providing radiologists with second opinions, and reducing false diagnoses. Aim: This study aims to develop an open-source mobile app, named "BraNet," for 2D breast imaging segmentation and classification using deep learning algorithms. Methods: The BraNet app was developed using the React Native framework, offering a modular deep learning pipeline for mammography and ultrasound breast imaging classification. This application operates on a client-server architecture and was implemented in Python for iOS and Android devices. It performs image analysis, extracts masks, and classifies them into benign or malignant classes. The components include data loading, Region of Interest (RoI) extraction, segmentation, classification, and statistical evaluation. 

Description
The development of a mobile application for Android and iOS devices is proposed, in which breast ultrasound or mammography images are loaded, then a segmenter is used to extract the regions of interest (ROI) (optional), finally a classifier algorithm is applied to these to determine if the image is benign or malignant.

Languages used
TypeScript
JavaScript
Python 3.11
Tools/Frameworks used
Figma
VS Code
Jupyter Notebooks
Flask
PyTorch 2.0.1
React Native 0.71
Database and cloud plataforms
Google Firebase
Google Cloud
DOI: 10.17632/g78wkskx9v.1
title: the paegent industry influence on global culture

description: The pageant industry has emerged as a powerful cultural force with far-reaching effects on global society. This paper explores the multifaceted impact of beauty pageants and related events on shaping and reflecting cultural norms, values, and perceptions worldwide. By analyzing the industry's historical development and contemporary significance, this study sheds light on its role as a platform for cultural exchange, empowerment, and the propagation of beauty ideals.

The historical evolution of beauty pageants reveals their roots in early beauty contests and cultural showcases, evolving over time into grand international spectacles. These pageants have become influential stages for contestants to represent their countries and celebrate their cultural heritage. The study investigates how pageants serve as opportunities for diverse cultures to interact, fostering cross-cultural understanding and appreciation.

Moreover, the pageant industry significantly influences societal notions of beauty and femininity. By showcasing contestants who embody conventional beauty standards, pageants can perpetuate narrow beauty ideals, impacting body image perceptions and self-esteem globally. Concurrently, there is a growing movement within the industry to promote body positivity and inclusivity, challenging traditional beauty norms and celebrating diverse representations of beauty.

Additionally, beauty pageants often extend their impact beyond the runway through charitable endeavors and advocacy campaigns. Contestants frequently champion social causes and raise awareness about critical issues, making a positive impact on global challenges such as gender equality, education, and environmental sustainability.

The paper also examines the economic influence of the pageant industry, which generates substantial revenue through sponsorships, tourism, and media coverage. Hosting international pageants draws attention to the host country, stimulating local economies and tourism industries.

Furthermore, the rise of social media has amplified the industry's impact on global culture. Pageants now reach broader audiences, influencing societal trends and beauty standards on a global scale. The study analyzes how digital platforms have transformed pageant participation, promotion, and audience engagement, impacting cultural perspectives worldwide.
DOI: 10.17632/24w53prvky.1
title: Data for: Scale-appropriate mechanization impacts on productivity and technical efficiency among smallholders: Evidence from rice systems in the mid-hills of Nepal

description: This file contains the codebook (for the variables description), datasets, and STATA program codes that were used to generate the results of the paper.
DOI: 10.17632/5hppr8mtry.1
title: Replication Package for "Surges and Instability: The Maturity Shortening Channel"

description: Replication folder for the paper entitled "Surges and Instability: The Maturity Shortening Channel" by Xiang Li and Dan Su
DOI: 10.17632/hdwfm3zpd8.2
title: Trends in Downwelling Longwave Radiance over the Southern Great Plains

description: Downwelling longwave radiation is an important part of the surface energy budget. Spectral trends in the downwelling longwave radiance (DLR) provide insight into the radiative drivers of climate change. In this research, we process and analyze a 23-year DLR record measured by the Atmospheric Emitted Radiance Interferometers (AERI) at the Atmospheric Radiation Program Southern Great Plains (SGP) site. Two AERIs were deployed at SGP with an overlapping observation period of about 10 years, which allows us to examine the consistency and accuracy of the measurements and to account for discrepancies between them due to errors associated with the instruments themselves. We then analyzed the all-sky radiance trends in DLR, which are associated with the surface warming trend at SGP during this same period and also the complex changes in meteorological conditions. For instance, the observed radiance in the CO2 absorption band follows closely the near-surface air temperature variations. The significant positive radiance trends in weak absorption channels, such as in the wings of the CO2 band and in the weak absorption channels in the H2O vibration-rotational band, show earlier detectability of climate change. The magnitude of the radiance trend uncertainty in the DLR record mainly results from internal climate variability rather than from measurement error, which highlights the importance of continuing the DLR spectral measurements to unambiguously detect and attribute climate change.
DOI: 10.17632/hkrtj288jz.1
title: Data for: What explains life satisfaction? Relative income or rank income? The case of Ecuador

description: Data sets for What explains life satisfaction? Relative income or rank income? The case of Ecuador It contains 1. Stata (.dta) ENEMDU panel 2013-2014 (december for each year) 2. Stata (do-file)
DOI: 10.17632/9td8cwxd95.1
title: Data for: Global Factors and Trend Inflation

description: Replication Files and data for Kamber and Wong "Global Factors and Trend Inflation," Journal of International Economics
DOI: 10.17632/pfs54tfvym.1
title: High-resolution elevation models and orthophotos of Larsen B glaciers extracted from 1960s imagery

description: This dataset contains two DEMs and corresponding orthophotos of Larsen B tributary glaciers (Jorum, Crane, Mapple, Melville and Flask Glaciers), Antarctic Peninsula, representing surface elevations in December 1968. The DEMs were created with structure-from-motion photogrammetry using aerial imagery that is freely available from the Polar Geospatial Centre, UMN (https://www.pgc.umn.edu/data/aerial). These are raw DEMs and orthophotos projected to WGS84 Antarctic Polar Stereographic (EPSG::3031). Resampling, filtering of outliers, smoothing, interpolation or other data editing can be applied at one's discretion. The Crane Area DEM covers the Jorum, Crane, Mapple and Melville and is 3.2 m spatial resolution with a standard deviation of ± 15.2 m relative to stable terrain in REMA v2 2021 data (https://www.pgc.umn.edu/data/rema) or ± 24.6 m relative to ICESat-2 points. The Flask Area DEM (which covers to Flask Glacier) is 13.3 m spatial resolution with a standard deviation of ± 21.5 m relative to stable terrain in REMA v2 2021 data or ± 21.6 m relative to ICESat-2 points. For full details of dataset creation and details please refer to North and Barrows (submitted). To re-use this data, please cite the North and Barrows (submitted). Contact Ryan North for questions or problems with data and data availability.
DOI: 10.17632/d9c6vk988t.1
title: NOV18 human blood rheology

description: SS, SAOS, Step up/down, LAOS, UDLAOS of human blood
DOI: 10.17632/tm72fkfxd5.2
title: Helmet Wearing Image Dataset

description: A comprehensive collection of 27560 high-resolution images that meticulously document the usage of helmets in real-world scenarios. This dataset offers a diverse range of images, encompassing both correctly worn helmets and instances of incorrect helmet usage. These images were captured using mobile phones, ensuring a practical and accessible perspective on helmet compliance.
DOI: 10.17632/h433nps6nb.1
title: Impacto del uso compulsivo de las redes sociales sobre la ansiedad y la depresión y la relación entre las tres variables: Un análisis intergeneracional

description: Base de datos de una investigación relativa al impacto del uso compulsivo de las redes sociales sobre la ansiedad, la depresión, edad, edad de inicio en el uso de las redes sociales y la relación entre estas variables: Un análisis intergeneracional
DOI: 10.17632/7yd2ntbh3w.1
title: Low-cost double pendulum for high-quality data collection with open-source video tracking and analysis

description: This repository includes a solidWorks (2019) CAD model of a research quality double pendulum. Additionally, we have provided video data with trackers recorded at 1000 FPS and Encoder data to validate the video data analysis. This data is based on our work done in the HardwareX acrticle: "Low-cost double pendulum for high-quality data collection with open-source video tracking and analysis."
DOI: 10.17632/s6tgnnp5n2.1
title: VTI_DroneSET

description: This is RF drone database.
DOI: 10.17632/95vsx4byrk.1
title: Transient hydroxycholesterol treatment restrains TCR signaling to promote long-term immunity

description: Original data of statistical analyses and uncropped gels.
DOI: 10.17632/52v7gmd9hb.1
title: Data for: The quantification of macropore flow in Danish soils using near-saturated hydraulic properties

description: Data include predictors (OM and texture) besides water contents and hydraulic conductivity for Danish soils
DOI: 10.17632/k5fz57zd9z.1
title: Cursive-Text: A Comprehensive Dataset for End-to-End Urdu Text Recognition in Natural Scene Images

description: We present a comprehensive dataset for Urdu text detection and recognition in natural scene images. To develop the dataset, more than 2500 natural scene images were captured with a digital camera and a built-in mobile phone camera. Three separate datasets for isolated Urdu character images, cropped word images and end-to-end text spotting are developed. The isolated Urdu character image dataset contains 19901 images, while the cropped word image dataset contains 14100 cropped words. A lexicon of more than 40K commonly used Urdu words is also created. The ground truths for each of the image in the isolated character, cropped word or text spotting datasets are provided separately. The proposed datasets can be used to perform Urdu text detection, recognition or end-to-end recognition in natural scenes. These datasets can also be helpful to develop Arabic and Persian natural scene text detection and recognition systems, as Urdu is a derived language of these scripts and has many similar letters. The datasets can also be helpful to develop multi-language translation systems.
DOI: 10.17632/48ympv8jjf.1
title: Indian Currency Dataset

description: New Indian currency denomination dataset is not available online so a new dataset is created using Moto X-Play mobile camera has a 21MP camera. The size of all the currency images in the dataset which are captured in landscape mode is 5344×3006. Whereas the size of all the currency images in the dataset which are captured in portrait mode is 3006×5344. A total of 4657 images are captured to create the dataset. All the currency notes which are acceptable in the market are used like old and new 10 rupee notes, old 20 rupee notes, old and new 50 rupee notes, old and new 100 rupee notes, new 200, 500, and 2000 notes. To improve the dataset size data augmentation is applied to the currency note images. The different types of augmentations used are Zoom, Rotate90, Rotate270, Tilt, Distortion, and Flip. Dataset after data augmentation contains a total of 11657 images.
DOI: 10.17632/md5czfsfnd.1
title: data of multiple-type drug-drug interactions

description: DDI_data.csv file is we extracted from drug bank v5.1, it includes the five items: Drug1_id, Drug2_id, Drug1_name, Drug2_name, and the interaction types between Drug1 and Drug2. DDI_types.xlsx file includes 114 types of DDI and the class index after merged them. DDI_types_merged.xlsx includes the type name of interactions and their corresponding ID.
DOI: 10.17632/b9d6s7hr33.1
title: Dataset of NIR spectrum for intact mango fruits

description: This dataset contains spectroscopic data (Raw Spectrum) obtained for a total of 186 intact mango fruits from 4 different cultivars. Data are available as XLS and UNSB file extension formats.
DOI: 10.17632/vk23xxvg7w.1
title: Data for: Runge-Kutta-Gegenbauer methods for advection-diffusion problems

description: frkg2.tgz is a C implementation of FRKG numerical integration at second order. The code consists of two files: the file frkgcore.c contains the code necessary to obtain a solution to the problem prescribed in frkguser.c. The files Tables_N1-N2/arks___<b>.csv contain the coefficents for FRKG schemes at orders N=1...2 and, at each order, over a range of 18 Gegenbauer coefficient values running from 0 to 2N. The coefficients for each scheme is provided for up to Nx257 stages. The default problem is similar to the Brusselator presented by Hairer & Wanner (see (1.6) of Sect. IV.1): a stiff nonlinear diffusion-reaction problem describing chemical kinetics of a tri-molecular chemical reaction subject to periodic boundary conditions. Advection is added following Abdulle & Vilmart (2013). The problem is specified via three user defined functions: deriv() - populates f(W)=W_t; spec() - returns spectral radius; and Wexact(). User parameters are: RTOL - error tolerence; NE - number of grid points (including boundary) assuming a uniform square mesh; TEND; XMAX; XMIN. To apply the FRKG scheme to other problems it should only be necessary to supply a modified version of frkguser.c. Note that complex variables are used via complex.h internally to the time-marching function trystep(). Above trystep() no complex variables are visible. Usage: to compile executable frkg using gcc gcc -O3 frkgcore.c frkguser.c -lm -o frkg Solution is written to sol.dat Reference solution is sol.ref To plot first species via gnuplot: splot "sol.dat" every 10:10 u 1:2:3 w pm3d ----------------------------- The additional files Tables_N3-N8/arks___<b>.csv contain the coefficents for FRKG schemes at orders N=3...8 and, at each order, over a range of 18 Gegenbauer coefficient values running from 0 to 2N. The coefficients for each scheme is provided for up to Nx257 stages.</b></b>
DOI: 10.17632/gzprcr93zn.2
title: Multi-IsnadSet (MIDS) for Sahih Muslim Hadith with chain of Narrators, based on multiple ISNAD

description: The Hadith Isnad narrators data may be useful for the researcher to better adapt these techniques for particular problems. This data is developed for future research on the public repository for all the Research Institutes, Scientific and Islamic communities who want to work on Hadith's domain. This dataset contains two types of excel documents: Hadith_SahihMuslim_CoreInfo.xlsx file (7748 records) and Hadith_SahihMuslim_DetailsInfo_Sanad_Narrators.xlsx document (77797 records). The data contains 7748 Hadiths and 2092 unique records of Narrators of All Sahih Muslim Hadith
DOI: 10.17632/y6y6jrz7sm.1
title: EDUCARE: Journal of Primary Education

description: EDUCARE: Journal of Primary Education ini fokus untuk melakukan kajian mendalam pada kajian pemikiran pendidikan dasar PGMI dan PGSD. Jurnal ini mempublikasikan kajian pendidikan secara teori dan praktis, laporan hasil penelitian tentang pendidikan dasar, dan publikasi artikel ilmiah yang berkaitan dengan kajian pendidikan MI dan S
DOI: 10.17632/pfnfzrmrg7.1
title: Sorghum Plants Labeled 3D LiDAR Point Cloud Data

description: Point-wise annotation was conducted on input point clouds to prepare a labeled dataset for segmenting different sorghum plant-organ. Each sorghum plant's leaf, stem, and panicle were manually labeled in 0, 1, and 2, respectively, using the segment module of the CloudCompare software.
DOI: 10.17632/wy3pndgpcx.1
title: Textile Images 2

description: This is the source file to install the R data package "textile2" that contains 350 real textile images (of size 500x500 pixels). They were taken at non-overlapping and adjacent regions of two swatches of the same textile material, at a scale that shows their weave patterns. They exhibit a great deal of stochastic behavior of the stochastic textured surface data, defined in Bui and Apley (2017a). These images were used in Bui and Apley (2017b) to illustrate their approach that monitor for global changes in the nature of stochastic textured surfaces. Unlike local defects that occur in local regions of the surfaces, this type of changes affect the entire surfaces. References: Bui, A.T., and Apley., D.W. (2017a) A Monitoring and Diagnostic Approach for Stochastic Textured Surfaces", Technometrics (in press). Bui, A.T., and Apley., D.W. (2017b) Monitoring for Changes in the Nature of Stochastic Textured Surfaces", (under review).
DOI: 10.17632/3zbwr5wf7z.1
title: SSLG4: A novel scintillator simulation library for Geant4

description: This study introduces a new Scintillator Simulation Library called SSLG4 for the Geant4 Monte Carlo simulation package. With SSLG4, we aim to enhance efficiency and accelerate progress in optical simulations within the Geant4 framework by simplifying scintillator handling and providing a rich repository of scintillators. The SSLG4 enables users to quickly include predefined scintillator materials in their simulations without requiring manual definition. The library initially contains 68 scintillators, consisting of 58 organic and 10 inorganic types. Most of these scintillators are selected from the catalogs of several scintillator manufacturers, notably Eljen and Luxium. Other scintillators are included based on their widespread use across various physics domains. The library stores optical data of scintillators in ASCII files with .mac and .txt extensions, enabling users to add, remove, or modify properties of scintillators at runtime of their applications. In addition, we made all the scintillator data available in the library on a dedicated page of our website to ensure convenient access for all users.
DOI: 10.17632/685vgp64sm.1
title: Non-Synthetic European Low Voltage Test System

description: In this work, a standard network made with real data obtained from the GIS (Geographical Information System) of the company, combined with real readings from smart meters is proposed. The authors not only provide (as additional material) the raw data obtained from the GIS and the Smart Meters but also the necessary MATLAB functions to automatically build the OpenDSS model, load it with the real data of the smart meters for 20 days and solve the power flow problem. The present system represents a real European low voltage urban distribution network with 10290 nodes, 8087 customers, 1138 power supplies, 136 fuses/breakers and 30 power transformers. The use and development of standard test systems has been critical for testing all kind of algorithms, operation procedures and planning purposes in transmission and distribution networks. With the irruption of the advance metering infrastructure based among others on smart meter technology, distribution systems suffered a drastic modernization in many regions of the world. The smart grid concept translated to the terminal distribution systems implies a drastic change of paradigm in the way these kind of systems have been planned and operated. Even when there exist several distribution test systems, most of them are synthetic and there is very few test feeder and networks representing European style distribution system. In this paper, a real comprehensive distribution test network representing a network of a typical town in Europe is presented. The model also has a provision to incorporate the smart meter data as obtained from the consumer's meter to study the distribution network states. This test network will provide the researchers a tool to work in algorithms and optimization of resources for European style distribution systems. The test network also includes the effect of neutral voltage in European style distribution network. The researchers provide together with the distribution company the raw data extracted from the GIS system and all the functions to convert the data into an OpenDSS model as well as the loads extracted from real smart meters representing 20 days. ' The function A_MakeNet.m is used prepare OpenDSS file and save it in folder RunDss The function B_MakeLoad.m is used to create the load-shape file from the smartmeter data extracted in file1, file2, etc. The OpenDSS code thus generated from raw-data is stored in folder /RunDss. The file 'Master.dss' is a default file and is also available in /RunMat/SrcDss. Power flow simulation can now be done by running C\_Run.m in MATLAB. It makes use of COM interface to do powerflow simulation in OpenDSS engine and stores the final result in /mat/bus.mat. The explanations about the data set, and all the functions are contained in a paper with the same title of the dataset that it is under review and will be linked to this dataset.
DOI: 10.17632/nmzr6v9zr6.2
title: Replication Package for "Triangle Inequalities in International Trade: The Neglected Dimension" by Foellmi, Hepenstrick, and Torun

description: This zip file contains the Replication Package for "Triangle Inequalities in International Trade: The Neglected Dimension." It includes the data and code to produce all the figures and tables in the paper.
DOI: 10.17632/zv6fdn2ysv.3
title: Social media usage in Qatar

description: The dataset examines how social media influencers' characteristics impact followers' parasocial relationship. A 5 points Likert scale survey containing 35 items was used to measure seven concepts (Homophily, Popularity, Leverage, Fashionable, Affinity, Parasocial relationship, WOM, and purchase intentions). The dataset contains 574 valid responses gathered from Instagram users in Qatar during the winter of 2020.
DOI: 10.17632/fwvr8hbdx5.1
title: Indebtedness, GDP per capita and per capita public healthcare financing in Sub-Saharan Africa

description: Dataset on public debt servicing, GDP per capita and per capita public healthcare financing in Sub-Saharan Africa
DOI: 10.17632/dhcf8jbhd4.3
title: Chen_et_al_Molecular_Cell

description: Raw_Images