cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29040082.v1
title: Student-generated Open Educational Resources (OERs) to inspire the next generation of STEM students and teachers

description: Open Educational Resources (OERs) are no-cost teaching tools increasingly used to support student learning at all grade levels. OERs are not equitably distributed across disciplines and few OERs exist for middle school age groups about vertebrate animal anatomy. To help fill the resource gap and explore impacts of cross-generational science teaching on students at predominately Hispanic institutions, we tasked university students with creating animal anatomy presentations for middle school audiences. Presentations were disseminated live over a virtual platform to middle school students and pre-recorded versions were posted on YouTube as OERs. University and middle school students completed voluntary pre- and post-presentation Likert-scale surveys to quantify learning experiences. By developing and sharing OERs, university students increased their animal anatomy knowledge, understanding of OERs’ purpose, beliefs in effectiveness of online educational materials, confidence in creating scientific presentations for non-peer audiences, and beliefs in their abilities to impact the next generation of learners. After watching the presentations and interacting with the university students, middle school students increased their beliefs that they learn effectively from other students, animal anatomy knowledge, and interests in studying science. The development and dissemination of animal anatomy OERs for middle school audiences fills a gap in available resources and helps inspire the next generation of science scholars.
DOI: 10.6084/m9.figshare.7482869.v1
title: The Helena Antipoff archives as a laboratory of research on the history of the Sciences of Education

description: ABSTRACT The article reports on research activities developed from the documentary archive of the Helena Antipoff Documentation and Research Center, an institution created in 1980 with the purpose of preserving memory and disseminating the work of the Russian-Brazilian psychologist and educator Helena Antipoff (1892-1974). The richness and diversity of the collection, which documents important chapters on the construction and circulation of education sciences in the 20th century within the framework of the relations between Europe and Brazil, favor research on the theoretical and practical development of psychology and education, and on the work done in the numerous institutions created and directed by Antipoff in Brazil. Research on the history of concepts and work models in psychology developed in educational institutions created under the leadership of Antipoff and work on the training of educators in the antipoffian tradition are reported. It is concluded that the accomplishment of these studies contributes to a better understanding of the history of psychology and education sciences and their international circulation, providing relevant models for thinking about the contemporary development of these scientific areas.
DOI: 10.6084/m9.figshare.13185410.v7
title: CNRDv1.0: the China natural runoff dataset version 1.0

description: The quality-controlled gridded naturalized runoff dataset, the China natural runoff dataset version 1.0 (CNRD v1.0), is reconstructed by using a comprehensive model parameter uncertainty analysis framework within a land-surface model. CNRD v1.0 provides daily, monthly and annual 0.25° runoff estimates for the period 1961–2018 over China. CNRD v1.0 was generated using the Variable Infiltration Capacity model with a comprehensive parameter uncertainty analysis framework incorporating parameter sensitivity analysis, optimization and regionalization based on 200 natural or near-natural gauge catchments. <br> Global attributes: Variables = Total runoff (qtot) Data Types = Histrorical reconstruction Date format = NetCDF4 Temporal Range = 1961-01-01 to 2018-12-31 Spatial extent = 18.6250° N ~53.6250° N, 73.375° E ~135.1250° E Units = mm Missing value = -9999 _FillValue = -9999 <br> Publications: 1. Gou, J. J., Miao, C. Y., Duan, Q. Y., Tang, Q. H., Di, Z. H., Liao, W. H., Wu, J. W., & Zhou, R. (2020). Sensitivity analysis-based automatic parameter calibration of the VIC model for streamflow simulations over China. Water Resources Research, 56: 1-19. https://doi.org/10.1029/2019wr025968;<br> 2. Gou, J. J., Miao, C. Y., Samaniego, L., Xiao, M., Wu, J. W. & Guo, X. Y. (2021). CNRD v1.0: a high-quality natural runoff dataset for hydrological and climate studies in China. Bulletin of the American Meteorological Society, 102(5), E929-E947. https://doi.org/10.1175/BAMS-D-20-0094.1; 3. Miao, C.Y., Gou, J.J., Fu, B.J., Tang, Q.H., Duan, Q.Y., Chen, Z.S., Lei, H.M., Chen, J., Guo, J.L., Borthwick, A.G.L., Ding, W.F., Duan, X.W., Li, Y.G., Kong, D.X., Guo, X.Y., Wu, J.W. High-quality reconstruction of China’s natural streamflow. Science Bulletin, 2022, 67(5): 547-556. https://doi.org/10.1016/j.scib.2021.09.022. <br>
DOI: 10.6084/m9.figshare.20000021.v2
title: Leaf morphological database of Quercus aliena and Quercus dentata

description: Leaf morphological data for all samples of <em>Quercus aliena</em> and <em>Quercus dentata</em> data produced by Image J program in TXT format (3363 leaves in total).
DOI: 10.6084/m9.figshare.27965004.v1
title: Survey Data Table

description: This dataset captures survey responses analyzing consumer preferences and attitudes toward experiential marketing, sustainable travel, and cultural tourism. The data includes ratings on elements such as sensory engagement, historical understanding, and the influence of cultural factors in travel decisions. It is useful for researchers studying marketing strategies and sustainable tourism trends.
DOI: 10.17632/35f2n4wsnv
title: The Protexin complex counters resection on stalled forks to promote homologous recombination and crosslink repair. Adeyemi et al

description: Original images.
DOI: 10.17632/gprz6ncjh2
title: Impacto de la tutoría por pares en el aprendizaje de electrocardiografía en estudiantes de medicina: un estudio mixto

description: Lorena Ruiz1. Nataly Vergara 1, Jaime Pérez2, Juan Méndez 3.
1) Estudiante pregrado Facultad de Medicina Universidad de Antioquia.
2) Md, Especialista en Medicina deportiva, MSc Educación Superior en Salud, profesor departamento de fisiología y
bioquímica Facultad de Medicina Universidad de Antioquia.
3) Bacteriólogo, MSc en Ciencias Básicas Biomédicas, MSc Educación Superior en Salud, profesor Departamento de
Fisiología y Bioquímica. Facultad de Medicina Universidad de Antioquia.
Dirección de contacto: juan.mendez@udea.edu.co
Resumen: 
Objetivo: Evaluar el impacto de la tutoría por pares en el aprendizaje de electrocardiografía (ECG) en estudiantes de medicina, combinando análisis cualitativos y cuantitativos para medir su efectividad a corto y mediano plazo. 
Introducción: En Colombia, la enfermedad isquémica del corazón representa la principal causa de mortalidad. El electrocardiograma (ECG) es una herramienta diagnóstica clave por ser económica, no invasiva y de alta eficiencia. Sin embargo, su enseñanza continúa siendo un desafío importante en la formación médica, dada su complejidad interpretativa. Este estudio explora el impacto de la tutoría por pares como estrategia pedagógica para mejorar el aprendizaje del ECG en estudiantes de medicina. 
Metodología: Se realizó un estudio mixto con componente cuantitativo longitudinal y análisis cualitativo complementario, en dos cohortes de estudiantes de tercer semestre de medicina (2022-1 y 2022-2) de la Universidad de Antioquia (n=45). Se aplicaron tres pruebas escritas (pretest, postest 1 y postest 2), analizadas mediante pruebas t de Student para muestras dependientes e independientes. El análisis cualitativo se basó en teoría fundamentada y análisis de contenido, mediante entrevistas semiestructuradas a tutores y tutorados.
Resultados: Se observo una mejora significativa del rendimiento académico tras la intervención, con diferencias estadísticamente significativas entre el pretest y el postest 1 (G1: p&lt;0.01; G2: p&lt;0.001). Entre el postest 1 y el postest 2 no hubo diferencias significativas (p=0.097), lo que sugiere retención del conocimiento en el tiempo. En el análisis cualitativo emergieron cinco categorías clave: aprendizaje significativo, habilidades del tutorado, características del tutor, ambiente de la tutoría y emociones positivas, las cuales reforzaron la experiencia pedagógica. 
Conclusiones: la tutoría por pares mostró ser una estrategia eficaz para la enseñanza del ECG, con efectos positivos tanto a corto como a mediano plazo. Los estudiantes mejoraron su desempeño académico y manifestaron una experiencia de aprendizaje más significativa. La horizontalidad en la comunicación y el ambiente de confianza fueron aspectos valorados como facilitadores del aprendizaje. La replicabilidad del modelo en diferentes contextos educativos sugiere su potencial como herramienta didáctica sostenible en la formación médica.
DOI: 10.17632/ktk5pgyc8c
title: EXPLORING INDIGENOUS EDUCATION IN COLONIAL INDIA: A HISTORICAL ANALYSIS

description: Abstract: 
This study examines the historical development and influence of indigenous educational institutions in colonial India, with a specific emphasis on the Bengal Presidency and the North-Western Provinces from the late 18th to the early 19th century. The text delves into the complex interplay between indigenous educational methods, colonial interventions, and social changes. The research examines primary materials and academic discussions to emphasise the intricate interaction between cultural, social, and political influences that shaped education in colonial India. The main focal points include the significance of indigenous establishments in disseminating knowledge, the consequences of colonial policies on indigenous education, and the conflicts arising from the clash between traditional customs and imperial endeavours towards modernization. This study highlights the need of comprehending indigenous educational systems as an essential part of the socio-cultural structure of colonial India. It also sheds light on the lasting impacts of colonial interventions on educational environments.
DOI: 10.17632/rgpddwxrx5
title: Foggy License Plates Worldwide: A Comprehensive Dataset

description: The "Foggy License Plates Worldwide" dataset is a specialized collection designed to advance the recognition and detection of vehicles and license plates under foggy conditions. This dataset includes 4420 2D-RGB images, featuring a diverse array of vehicles from Bangladesh, Thailand, Saudi Arabia, and other regions with English license plates. These images are derived from a secondary dataset and have been augmented using monocular depth estimation to simulate varying degrees of fog, offering a realistic set of data for challenging visibility scenarios.

The dataset is not limited to one type of vehicle but includes buses, trucks, CNG vehicles, motorcycles, cars, and standalone license plates, providing a broad spectrum for analysis. While the Bangladeshi subset contains 2754 annotated images, the dataset also includes 388 images from Thailand, 433 from regions with English license plates, and 845 from Saudi Arabia, though the latter does not come with annotations.

This variety is crucial for developing robust algorithms that can operate across different regions and vehicle types, especially in foggy conditions. The use of the Monodepth2 Network to artificially introduce fog effects based on depth estimation ensures that the dataset can mimic real-world scenarios, enhancing the development of automated systems for license plate recognition, vehicle detection, and traffic monitoring under adverse weather conditions. By offering a global perspective with plates from multiple countries, this dataset serves as an invaluable resource for researchers and developers in the field of computer vision, aiming to enhance the accuracy and reliability of systems in foggy environments.
DOI: 10.17632/sbdk9xmmp2
title: Replication Files for: "MPCs in an Emerging Economy: Evidence from Peru"

description: Replication files for: "MPCs in an Emerging Economy: Evidence from Peru"
DOI: 10.6084/m9.figshare.17005654.v1
title: EFQA

description: we consider the FigureQA dataset, extend the variation of the figures and question types in the dataset and explore how the complexity of figures and increasing the variation of questions will impact the results of a conventional FQA system. Accordingly, we extend the dataset to the five-figure variants by adding the Gaussian distribution and adding eight question types to the twenty-three dataset variants
DOI: 10.6084/m9.figshare.23592525.v1
title: Supplementary Material for: The Evolution of Educational Events during the COVID-19 Pandemic: The Experience of G.Re.T.A. Foundation

description: <em><strong>Introduction:</strong></em> The educational and professional lives of everyone have significantly been affected by the COVID-19 pandemic. Many courses and meetings traditionally structured and organized as face-to-face events have been transformed into virtual events. <em><strong>Methods:</strong></em> We report on the experience of G.Re.T.A. Fondazione in organizing international conferences, webinars, and masterclasses on oncoplastic and aesthetic breast surgery before, during, and after the pandemic. <em><strong>Results:</strong></em> The organization of the meetings as online or hybrid events allowed to maintain a high number of participants with numbers being in line with those achieved in the traditional face-to-face events or even showing an increased number of participants, in particular from countries not traditionally involved such as Saudi Arabia, the United Arab Emirates, India, and Russian Federation. <em><strong>Discussion:</strong></em> We think that the hybrid modality is likely to become a gold standard, even though purely online meetings will still survive in the post-pandemic era. Webinars are frugal and highly efficient events that can easily reach a worldwide audience with acceptable interaction.
DOI: 10.17632/hgvk669v89
title: ACT representative primary microarray samples

description: Arabidopsis thaliana ATH1 raw microarray data (CEL files) were download from ArrayExpress, GEO and NASCArrays. After duplicate and corrupt sample removal, using an in-house PHP script, our dataset consisted of 19,887 unique microarray samples from 1390 studies. Finally, after quality control, 6933 distinct, wild-type, healthy samples were selected. Pairwise sample correlations were calculated using Pearson Correlation Coefficient, using the expression values of 21273 non-obsolete Arabidopsis thaliana genes, in the 6933 previously selected samples. A sample distance matrix was created using the d = 1 – r formula and a sample correlation tree of 6933 sample-leaves was created in Newick format, based on the distance matrix. Then, the tree of 6933 sample-leaves, was programmatically pruned in an iterative procedure using an in-house algorithm trimming close leaves, where in each iteration the leaf with the shortest distance to its first common node was trimmed, leaving 3500 leaves which represent the most distinct samples.
DOI: 10.6084/m9.figshare.20454027.v2
title: Quality and quantity of the Exome-seq data

description: Summary of Quality and quantity of the Exome sequencing data <br> The summary showed mapping rate, genome coverage, scores of the mapping quality, and duplicate reads of Exome sequencing data. The quality and quantity of sequencing data was confirmed by bam qc of QualiMap.
DOI: 10.6084/m9.figshare.24225172.v1
title: Clinical trials safety results (csv)

description: Clinical trials safety results (csv)
DOI: 10.17632/ypxnzbjk45
title: Filtered datasets of benzene, ethanol, formic acid dimer and fomepizole

description: The uploaded datasets contain filtered geometries of benzene (BZ), ethanol (ETL), formic acid dimer (FAD), and fomepizole (FPL) used in a recently submitted paper to demonstrate the transferability of hyperparameters in anisotropic GPR models. These models are trained on atomic energies and charges (but in general any multipole moment) of topological quantum atoms in roughly 10 000 conformations of each molecule of interest. Once trained, these models were deployed in FFLUX simulations which suggested that transfer learning models perform as good as direct learning ones, despite being trained much faster (up to an order of magnitude). The datasets can be used to train any machine learning model that will reproduce atomic energies and multipole moments. It also contains total electronic energies of each conformation computed at the B3LYP/aug-cc-pVTZ [BZ and ETL] and B3LYP/6-31+G(d,p) [FAD and FPL] levels of theory. These can be used directly to create surrogate potential energy surface (PES) models.
DOI: 10.6084/m9.figshare.12762836.v1
title: Dataset S1 - Measurements.xlsx

description: Measurements of specimens of <i>Eomonachus belegaerensis</i>. Measurement definitions follow Koretsky (8), modified measurement definitions indicated in table. Diagram of metrics located in Figure 3 of Koretsky (8). *Incomplete or distorted preservation, +Measurement based off reconstruction, NA: non-applicable.
DOI: 10.6084/m9.figshare.19435676.v4
title: Raw data of flow cytometric analysis for caspse-3.xlsx

description: Nephrotoxcity and amelioration by garlic extract <br><br>
DOI: 10.6084/m9.figshare.2068272
title: Measuring Influence of Users in Twitter Ecosystems Using a Counting Process Modeling Framework

description: Data extracted from social media platforms are both large in scale and complex in nature, since they contain both unstructured text, as well as structured data, such as time stamps and interactions between users. A key question for such platforms is to determine influential users, in the sense that they generate interactions between members of the platform. Common measures used both in the academic literature and by companies that provide analytics services are variants of the popular web-search PageRank algorithm applied to networks that capture connections between users. In this work, we develop a modeling framework using multivariate interacting counting processes to capture the detailed actions that users undertake on such platforms, namely posting original content, reposting and/or mentioning other users’ postings. Based on the proposed model, we also derive a novel influence measure. We discuss estimation of the model parameters through maximum likelihood and establish their asymptotic properties. The proposed model and the accompanying influence measure are illustrated on a dataset covering a five-year period of the Twitter actions of the members of the U.S. Senate, as well as mainstream news organizations and media personalities. Supplementary material is available online including computer code, data, and derivation details.
DOI: 10.6084/m9.figshare.5023256.v1
title: GOAJ2: Gold Open Access Journals 2011-2016

description: A sequel to Gold Open Access Journals 2011-2015, this dataset reflects the state of DOAJ as of the very start of 2017. <br>
DOI: 10.17632/55vx86j8wf
title: Space and Time User Distribution in a University Campus

description: This dataset contains the measurements of the number of users connected to each one of the 247 Wifi indoor Access Points (APs) deployed in the Campus Nord of Universitat Politècnica de Catalunya (UPC) in Barcelona. Measurements are given as a function of time covering a total of 62 days. The dataset also includes the information of the theoretical coverage area of each AP, so that the number of users connected to each AP can be associated to a specific geographical area, thus having the user distribution in time and space.
DOI: 10.6084/m9.figshare.1097614.v5
title: Nearest Neighbors Distance Ratio Open-Set Classifier

description: Feature vectors used in "Nearest neighbors distance ratio open-set classifier" paper to appear in Springer Machine Learning journal. In the <strong>15-Scenes</strong> (15scenes.dat) dataset, with 15 classes, the 4,485 images were represented by a bag-of-visual-word vector created with soft assignment and max pooling, based on a codebook of 1,000 Scale Invariant Feature Transform (SIFT) codewords. The 26 classes of the <strong>letter</strong> (letter.dat) dataset represent the letters of the English alphabet (black-and-white rectangular pixel displays). The 20,000 samples contain 16 attributes. The <strong>Auslan</strong> (auslan.dat) dataset contains 95 classes of Australian Sign Language (Auslan) signs collected from a volunteer native Auslan signer. Data was acquired using two Fifth Dimension Technologies (5DT) gloves hardware and two Ascension Flock-of-Birds magnetic position trackers. There are 146,949 samples represented with 22 features (<em>x</em>, <em>y</em>, <em>z</em> positions, bend measures, etc). The <strong>Caltech-256</strong> (caltech256.dat) dataset comprises 256 object classes. The feature vectors consider a bag-of-visual-words characterization approach and contain 1,000 features, acquired with dense sampling, SIFT descriptor for the points of interest, hard assignment, and average pooling. In total, there are 29,780 samples. The <strong>ALOI</strong> (aloi.dat) dataset has 1,000 classes and 108 samples for each class (108,000 in total). The features were extracted with the Border/Interior (BIC) descriptor and contain 128 dimensions. The <strong>ukbench</strong> (ukbench.dat) dataset comprises 2,550 classes of four images each. In our work, the images were represented with BIC descriptor (128 dimensions).
DOI: 10.6084/m9.figshare.12479912.v1
title: All_Tetrad_Data_Final.csv

description: Dataset of cannabinoid tetrad assays in young and old, male and female mice treated with varying doses of synthetic cannabinoid CP55940 with and without CB1 and CB2 antagonists. <br>
DOI: 10.17632/jvszp9cbpw
title: SenMangoFruitDDS

description: SenMangoFruitDDS is a dataset of mango fruit diseases containing images of 224*224 in JPG format. The dataset contains images of four diseases namely Alternaria, Anthracnose, Black Mould Rot and Stem and Rot. An additionnal category in the dataset is healthy fruits. Fruit images are captured from an orchard located in Senegal, using mobile phone camera. Two versions are proposed: SenMangoFruitDDS_original is the one with original images and SenMangoFruitDDS_bgremoved contains images with background remove.
DOI: 10.6084/m9.figshare.21432123.v2
title: A new daily gridded precipitation dataset based on gauge observations across mainland China

description: The new daily gridded precipitation dataset over mainland China (CHM_PR) is a long-term precipitation dataset with fine spatiotemporal resolution developed to facilitate the advancement of drought monitoring, flood forecasting, and hydrological modeling. Its record starts from 1961 and keeps updating yearly (currently up to 2021) with spatial resolutions of 0.5° × 0.5°, 0.25° × 0.25°, and 0.1° × 0.1°. Using daily observations from 2,839 gauges across China and nearby regions, the dataset was made through the daily climatology field combined with the precipitation ratio field algorithm that adjusted the climatology based on monthly precipitation constraint and topographic characteristic correction. <br> Global attributes: ·<strong> </strong>Variables = daily precipitation (pre) · Date format = NetCDF · Temporal Range = 1961-01-01 to 2021-12-31 · Spatial extent = 0.1° × 0.1°: 17.9°N–54.1°N, 71.9°E–136.1°E 0.25° × 0.25°: 17.75°N–54.25°N, 71.75°E–136.25°E 0.5° × 0.5°: 17.5°N–54.5°N, 71.5°E–136.5°E · Units = mm/day · Missing value = -99.9 <br>