cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/2khchjbgzr.2
title: Clouds-1500

description: The Clouds-1500 dataset is an extension of original clouds-1000 dataset, which can be accessed through this link: https://data.mendeley.com/datasets/4pw8vfsnpx. It comprises a collection of sky images taken between March 2021 and Janary 2023. The images were captured by ground-based cameras pointed towards the horizon, in the north and south directions, at the facilities of the Federal University of Santa Catarina and in the solarimetric station of the Photovoltaic Energy Laboratory, located in the Sapiens Technological Park. This dataset is part of the Machine Learning Methods Project for Nowcasting for Solar Energy, conducted by the Laboratory of Image Processing and Computer Graphics - LAPIX of the National Institute of Digital Convergence - INCoD. The image annotation process was carried out manually by a team comprising computer scientists, meteorologists, and an experienced sky observer from the Brazilian Air Force Base on Santa Catarina Island. Annotations were made using the polygon tool on the Supervisely platform to mark the clouds visible in each image. This dataset is created to help machine learning algorithms identify clouds in images taken from ground-level locations using ordinary cameras. It employs a practical cloud height-based classification system that categorizes clouds into four groups: Cirriforms, Cumuliforms, Stratiforms, and Stratocumuliforms. Additionally, a category representing background objects like trees and buildings is included in the annotations. This classification system is aimed at enhancing nowcasting in the solar energy sector by predicting the potential solar radiation absorption by clouds covering solar energy facilities. The decision to categorize clouds into these four groups stems from the need to efficiently forecast solar radiation interference and because earlier attempts at finer classification led to inadequate learning outcomes with neural networks. This subpar performance is likely due to the inherent similarities among actual cloud classes within each superclass and the vague and transparent characteristics of clouds, making precise classification challenging and yielding poor results. The dataset underwent several validation steps to ensure its quality and reliability. Initially, three team members inspected and checked a randomly chosen subset of images for annotation consistency, assessing the quality of manual annotations. In a second semi-automated step, the dataset was split into training and validation sets. A semantic segmentation convolutional neural network (PPLite B2) was trained on it, and used to pinpoint the 100 images with the lowest classification scores. A meteorologist from the team then manually reviewed and corrected these images, as they were the most likely to contain annotation errors. This procedure helped to detect and amend any remaining errors or issues, enhancing the overall quality and reliability of the dataset.
DOI: 10.17632/9bccjb75wp.1
title: Large-Scale Analysis of Cancer Cell Fractional Killing

description: In the clinic, few drugs are employed as single agents and it is therefore of interest to understand the impact of drug interactions specifically on fractional killing. Our ability to monitor fractional killing in many populations in parallel provided a means to search for modulators of this phenomenon more systematically. As proof-of-principle, we examined the effect on pimasertib (Pim, 5 µM)-induced cell death of 261 structurally and functionally distinct compounds in A549^N cells. The ability of all 261 compounds to modulate Pim-induced cell death was computed using an analytic framework based on the Bliss model of drug interactions. The files below contain the raw live (mKate2 positive), dead (SYTOX Green positive) and overlapping (mKate2 positive/SYTOX Green double positive; treated as dead cells in the computation of lethal fraction scores) counts, along with the computed lethal fraction scores, for each compound. Library wells denoted as 'Empty' contained DMSO and function as controls in the DMSO treatment or pimasertib treatment conditions. Note that each screen was repeated three independent times (reps 1,2,3). Time elapsed is in hours.
DOI: 10.17632/9c8jtskk5r.8
title: Data for: Can gamification increases consumers’ engagement in fitness apps? Compare the effectiveness of intrinsic and extrinsic game elements

description: Consumers' motivation, engagement behavior, and loyalty intentions to fitness apps
DOI: 10.17632/xjn2xnpk2h.1
title: SUPPLEMENTAL INFORMATION Abrocitinib induction, randomized withdrawal, and retreatment in patients with moderate to severe atopic dermatitis: results from the JADE REGIMEN phase 3 trial

description: Supplemental material for Manuscript: Abrocitinib induction, randomized withdrawal, and retreatment in patients with moderate to severe atopic dermatitis: results from the JADE REGIMEN phase 3 trial (JAAD-D-21-00517R1)
DOI: 10.17632/nkr54g5kjg.1
title: Colorado Alliance of Research Libraries Demand Driven Acquisition Program E-Book Pool and Purchases with GOBI Profiling Data

description: This dataset was originally generated for a study of the Colorado Alliance of Research Libraries (CARL) demand driven acquisition (DDA) e-Book program. The study examined the pool of available titles and which of these titles were triggered for purchase based on use. Most of the data was harvested from the acquisitions platform of GOBI Library Solutions from EBSCO (GOBI). It was obtained and is being shared with the permission of GOBI. The list of titles and purchase data was drawn from the integrated library system (ILS) of the Kraemer Family Library (KFL) at the University of Colorado Colorado Springs (UCCS), a member library of CARL and participant in the DDA program. The list of titles and GOBI information were obtained in May 2018.
DOI: 10.17632/4dydwh73f7.2
title: Psoriasis Flares and Rebound Phenomenon Following Exposure and Withdrawal of Systemic Steroids – A Systematic Review and Meta-analysis - Supplementary material

description: Supplementary files for the systematic review entitled "Psoriasis Flares and Rebound Phenomenon Following Exposure and Withdrawal of Systemic Steroids – A Systematic Review and Meta-analysis" published in Journal of the American Academy of Dermatology
DOI: 10.17632/hwgvf99r7h.1
title: R Script and Data for Loss of Brain Aerobic Glycolysis in Normal Human Aging

description: Processed PET brain imaging data from prior studies as described in Goyal, Vlassenko et al. Cell Metabolism 2017.
DOI: 10.17632/g6b39zxck4.6
title: Global Burden of Disease analysis dataset of BMI and CVD outcomes, risk factors, and SAS codes

description: This formatted dataset originates from raw data files from the Institute of Health Metrics and Evaluation Global Burden of Disease (GBD2017). It is population weighted worldwide data on male and female cohorts ages 15-69 years including body mass index (BMI) and cardiovascular disease (CVD) and associated dietary, metabolic and other risk factors. The purpose of creating this formatted database is to explore the univariate and multiple regression correlations of BMI and CVD and other health outcomes with risk factors. Our research hypothesis is that we can successfully apply artificial intelligence to model BMI and CVD risk factors and health outcomes. We derived a BMI multiple regression risk factor formula that satisfied all nine Bradford Hill causality criteria for epidemiology research. We found that animal products and added fats are negatively correlated with CVD early deaths worldwide but positively correlated with CVD early deaths in high quantities. We interpret this as showing that optimal cardiovascular outcomes come with moderate (not low and not high) intakes of animal foods and added fats. For questions, please email davidkcundiff@gmail.com. Thanks.
DOI: 10.17632/hyb44jf936.2
title: Type 2 Diabetes Mellitus Tongue Dataset

description: This dataset comprises tongue images categorized into two groups: non-diabetic tongue images and tongue images from patients with Type 2 Diabetes Mellitus (T2DM). The dataset is designed to support the development of deep learning models for detecting T2DM based on tongue image characteristics. These images capture various features such as tongue texture, color, and coating, which are known to differ between healthy individuals and those with T2DM. The dataset can be employed for training, validating, and testing machine learning algorithms aimed at automating the early screening of Type 2 Diabetes based on tongue analysis.
DOI: 10.17632/8xvhcsdvst.2
title: In-field hyperspectral imaging dataset of Manzanilla and Gordal olive varieties throughout the season

description: Because spectral technology has exhibited benefits in food-related applications, an increasing amount of effort is being dedicated to develop new food-related spectral technologies. In recent years, the use of remote sensing or unmanned aerial vehicles for precision agriculture has increased. As spectral technology continues to improve, portable spectral devices become available in the market, offering the possibility of realising in-field monitoring. This study demonstrates hyperspectral imaging and spectral olive signatures of the Manzanilla and Gordal cultivars analysed throughout the table-olive season from May to September. The data were acquired using an in-field technique and sampled via a non-destructive approach. The olives were monitored periodically during the season using a hyperspectral camera. A white reference was used to normalise the illumination variability in the spectra. The acquired data were saved in files named raw, normalised, and processed data. The normalised data were calculated by the sensor by correcting the white and black levels using the acquired reflectance values.  The olive spectral signature of the images is saved in the processed data files. The images were labelled and processed using an algorithm to retrieve the olive spectral signatures. The results were stored as a chart with 204 columns and ‘n’ rows. Each row represents the pixel of an olive in the image, and the columns contain the reflectance information at that specific band. These data provide information about two olive cultivars during the season, which can be used for various research purposes. Statistical and artificial intelligence approaches correlate spectral signatures with olive characteristics such as growth level, organoleptic properties, or even cultivar classification.
DOI: 10.17632/3xjyjsf4sb.1
title: Hausa-English Code-Switched Dataset

description: Hausa-English Code-Switched Dataset
Overview
The Hausa-English Code-Switched Dataset contains comments collected from Facebook, Instagram, YouTube, and Twitter. These comments exhibit code-switching between Hausa and English, providing a rich resource for linguistic research, natural language processing (NLP), and machine translation.

Features
Platform Support: Includes comments from Facebook, Instagram, YouTube, and Twitter.

Multilingual Data: Captures code-switching between Hausa and English, reflecting real-world multilingual usage.

Customizable: Adaptable for other language combinations and specific data collection needs.

Data Collection Process
The dataset was collected using a custom scraper designed to gather code-switched comments from social media platforms. Here’s a brief overview of the process:

Platform Integration: Configured to work with Facebook, Instagram, YouTube, and Twitter APIs.
Multilingual Data Capture: Identified comments with code-switching between Hausa and English.
Configuration: Set up API keys and platform-specific settings.
Execution: Ran the scraper on each platform, collecting and aggregating comments.
Applications
The dataset supports various research and application domains:

Linguistic Analysis: Study code-switching patterns between Hausa and English.
NLP: Train and evaluate models for tasks like language identification and part-of-speech tagging.
Machine Translation: Provides parallel data for training translation systems.
Sociolinguistic Studies: Explore social and cultural factors influencing code-switching on social media.
Dataset Structure
The dataset is organized into a CSV file with the following columns:

Platform: The social media platform (Facebook, Instagram, YouTube, Twitter).
Date: The date the comment was posted.
Time: The time the comment was posted.
User ID: A unique identifier for the user.
Comment: The code-switched comment containing Hausa and English text.
English Translation: The correct English translation of the code-switched comment.
Example Entries
Platform Date Time User ID Comment English Translation
Facebook 2023-06-15 14:23:45 user123 Ina son wannan song, it's really great! I love this song, it's really great!
Twitter 2023-06-15 14:23:45 user124 Yau ne zamu je gidan abinci, can't wait! Today we are going to the restaurant, can't wait!
Instagram 2023-06-15 14:23:45 user125 Kai, wannan video is so funny! Wow, this video is so funny!
YouTube 2023-06-15 14:23:45 user126 Na gode for sharing this, very informative! Thank you for sharing this, very informative!
Conclusion
The Hausa-English Code-Switched Dataset is a valuable resource for researchers and practitioners in linguistics, NLP, and machine translation. It provides real-world examples of code-switching, supporting the development of robust models and tools for handling multilingual text in diverse contexts. Explore the dataset and contribute to its ongoing development and application.
DOI: 10.17632/gktc5y2sy2.1
title: Textbook Dataset from NCTB

description: In our quest to advance Bangla language processing, we have created a specialized dataset tailored to our project's objectives. This dataset is a cornerstone in developing an effective Bangla Question-Answering system with a strong emphasis on customization. It comprises approximately 3,000 meticulously curated question-and-answer pairs. Human annotators, guided by NCTB textbooks from classes six to ten, painstakingly selected these pairs. Each passage in the dataset, averaging 387 words, offers rich context for meaningful question answering. Human annotators also diligently collected responses for various question types, ensuring the dataset's reliability and relevance in Bangla. Our primary goal is to develop a proficient Bangla question-answering system. We have organized the dataset into training and validation subsets to achieve this, conveniently encapsulated within CSV files. These files seamlessly integrate multiple passages with corresponding questions and expertly annotated answers. Our dataset forms the foundation for a precision-driven, context-aware Bangla question-answering system. It serves as a vital resource for researchers and developers working to enhance Bangla language processing capabilities, poised to advance the state of the art in this field.
DOI: 10.17632/byms2fjzpw.2
title: Indian Major Basmati Paddy Seed Varieties Images Dataset

description: Seeds for ten major Indian basmati paddy varieties were collected from the Indian Agricultural Research Institute (IARI), New Delhi. A total of 46 different types of pulses, grains and other food entities were also collected in-house to capture images other than paddy seeds. Moreover, a mixture of two morphologically similar paddy varieties (1121 and 1509) was also prepared in a separate vessel and its images constituted a new class (including pulses, grains and other food entities). Thus, the dataset comprises a total of 11 classes (10 basmati paddy seeds varieties and other grains and related food entities). An apparatus was manually designed, used to load the paddy seeds and capture images in standard conditions. A Micromax Canvas TAB P802 tablet was used to capture a total of 3210 images.
DOI: 10.17632/8m6v52sn89.1
title: Role of AI In Transforming User Experience in Libraries

description: Artificial intelligence (AI) is redefining the library system by increasing efficiency, accessibility, and user experience. The transformational potential of AI in libraries is examined in this editorial, with a special emphasis on how it may automate tedious chores like organising and cataloguing to improve operations and free up librarians' time for more thought-provoking pursuits. AI-powered systems facilitate seamless information retrieval, boost search capabilities, and analyse data more effectively. Virtual assistants and customised predictions can be generated for every user through the application of machine learning and processing of natural language, hence improving their engagement and library experience. AI also helps to ensure the longevity and accessibility of rare and historical materials by digitising and archiving them. The study's objectives are to evaluate the viability of AI applications in libraries, look at how they might affect administrative and technical processes, and pinpoint implementation difficulties. The study emphasises AI's ability to streamline workflows, customise services, protect collections, and guarantee ethical concerns through content analysis of pertinent literature. Successful AI solutions, including chatbots driven by AI, automated book retrieval, and predictive analytics for collection development, are demonstrated by case studies from Uttaranchal University. Future prospects for AI in libraries promise improved user experiences and operational efficiency, making libraries dynamic hubs of knowledge and education despite obstacles like technical competence and budgetary limits.
DOI: 10.17632/vw48xpmz2j.2
title: AAD Guidelines of Care for the Management of Actinic Keratosis Supplementary File
DOI: 10.17632/ks7ntymvhc.1
title: Data for: Do job fairs matter? Experimental evidence on the impact of job-fair attendance

description: Abstract of associated article: I estimate the causal impact of attending a job fair on employment outcomes and labor market perceptions, using a randomized encouragement design to induce individuals in the rural Philippines to attend a nearby job fair for domestic and overseas work. Attending a job fair matters: though it does not facilitate direct matches with a job-fair employer, attendance leads to a large increase in reported formal sector employment and in the likelihood of looking for any work outside the region in the months following the job fair. Several overseas recruitment agencies participated in the job fair, and attendance affects individuals' overseas labor market perceptions but does not encourage them to take steps to migrate. These results suggest that job fairs can be important tools for encouraging individuals to move to the formal sector and for conveying information about labor market prospects.
DOI: 10.17632/j73pz5g35g.1
title: The relationship of Energy with Atoms and Time, Space

description: In each of the previous articles, electrons, protons, etc., the relationship of ‘L’ with particle and light has been shown. It also provides detailed information on why each number used in physics is being used, and what sources are used to find the source. In the present article, too, are electrons, protons, Pi, time, space, how they come together, and what is the source of ‘C’2? (in the great formula e=mC2 . I respect sir Einstein’s contribution) .This has been discussed. I look at each article from different angles and from different perspectives; I have tried to prove their authenticity by calculating the atomic and light constants, quantum etc. by mathematics. All of these articles were later published in Mendely Data. Which has taken a place in the court of the world (scientist community) today through social media. And how the properties of matter/particles are hidden in all these combinations of Atom Therefore, I urge all readers to read each of the previous articles once to understand this article better or to know the details.
DOI: 10.17632/85n28mggr4.1
title: Libro "Gestión y Resiliencia de la Clase Trabajadora Bolivariana estructurada en Consejos Productivos de Trabajadores y Trabajadoras (CPTT) Venezuela". 2023. version pdf

description: a historia de la humanidad es la historia de la lucha de clases. Las clases dominantes imponen regímenes que restringen la capacidad creativa de la clase trabajadora, fomentando la alienación y la reproducción secuencial de procesos. La voz de los trabajadores fue silenciada sistemáticamente condenándolos a conservar una posición inamovible dentro del espectro de las fuerzas productivas, en el ejercicio continuo en el rol de “seguidores” de los dictámenes emanados por los propietarios de los medios de producción.
El paradigma Bolivariano de la Revolución adelantada por el Comandante Eterno Hugo Chávez Frías, cambió ese orden de cosas, distinguiendo al proceso revolucionario Bolivariano de procesos precedentes; por la singularidad en el reconocimiento de las voces populares en la conformación de un régimen inédito democrático, participativo, protagónico, pluralista, bolivariano y socialista. Posteriormente, el Presidente Nicolás Maduro desde la óptica de la clase trabajadora impulsó la conformación de estructuras orgánicas que fundamentadas en el paradigma chavista, fueron convocada en el combate contra la Guerra Económica. La voz de los trabajadores se posicionó entonces como referente en el combate contra el bloqueo imperialista y en defensa del aparato productivo nacional.
En honor a los héroes de la revolución productiva, combatientes desde los ámbitos de las entidades productivas, presentamos estos estudios, con el objetivo de expresar desde las voces de los trabajadores, y bajo parámetros metodológicos rigurosos la experiencia en materia de Gestión desde las estructuras de los Consejos Productivos de Trabajadores y Trabajadoras y los Niveles de Resiliencia de la clase trabajadora Venezolana. El trabajo consta de tres partes. La primera comprende el análisis del surgimiento de los CPTT desde el enfoque de la normativa y la coyuntura del bloqueo. La segunda parte atiende dos investigaciones que comprenden el estudio de los “CPTT   en la Gestión de Entidades Productivas” y la “Resiliencia y Empoderando del Intelectual Orgánico Productivo desde la estructura de los CPTT”.  La tercera parte constituye un ejercicio reflexivo que atiende el doble carácter de la Plus Resiliencia y la cualidad Irradiante de la clase trabajadora venezolana.
Version pdf. Libro.
DOI: 10.15468/dl.ttvrpd
title: Occurrence Download

description: A dataset containing 918 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus muricata D.Don",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 918 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009225-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/mpwryygc4r.1
title: Dataset concerning the Greek Smart Municipalities questionnaire

description: The dataset maps the digital transformation of Greek municipalities (2019).
DOI: 10.17632/dscww8w8zt.2
title: Dataset of Cannabis Seeds

description: Machine learning and deep learning techniques have shown very promising results for the classification and object detection problems. Neat and clean dataset is the elementary requirement to build accurate and robust machine learning models for the real-time environment. With this objective we have created an image dataset of Cannabis seeds.  This dataset contains  images of 17 different types of cannabis seeds.
DOI: 10.17632/6tg3483pdx.1
title: ITR codes

description: This folder contains all Matlab codes used for generating the figures in the manuscript: Synthetic Aperture Ultrasound Imaging through Adaptive Integrated Transmitting-Receiving Beamformer.
DOI: 10.17632/mkzht8948x.1
title: UCI race results 2010-2020

description: The data is gathered from publicly available race results of the UCI website. It includes race results in all cycling disciplines (road, track, mountain bike, bmx, cyclo cross), classifications, data on athletes (such as name, age, country of affiliation etc.). The data is stored in a csv file.