cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/kyppvv5pkm
title: Anxiety and higth depression in social work students

description: For its application, the Microsoft 365® Forms platform was used, following the parameters of the test through the voluntary self-report of each participant. A non-probabilistic sample criterion was used, for convenience, with the voluntary participation of undergraduate and graduate students from the School of Social Work, Industrial University of Santander, Colombia, achieving a total of 160 effective applications. Five composition variables are included: year of application, level of education, sex, health status and economic situation in the last month. These variables serve as a resource for the significance tests of the results of both scales. The processing of the information was carried out by validating the data once the criticism of the information was made from an Excel format, migrating the results to a statistical software (IBM-SPSS®). For the final qualification of the levels of anxiety and depression, the cut-off points established in the literature of validation of the scales were used (Campo-Arias, Díaz-Martínez, Rueda-Jaimes, & Barros Bermúdez, 2005), which allow evaluating the level in an ordinal variable: Within normal, minimum, moderate and extreme. The participants were previously informed of both the academic exercise and the global analysis of the results without compromising identity, accepting informed consent. In addition, individual results were delivered when participants requested it, complying with the basic ethical aspects of the research. The Zung scale consists of a questionnaire of 20 items on an ordinal scale from Never or Rarely, Sometimes, Many Times and Almost Always or Always and the rating of the response depends on the positive or negative sense of the item. Anxiety questions cover a wide variety of expressions of emotional disorders. In the case of the Depression scale, which is rated in a similar way, it refers to a set of symptoms that take place in the affective field of the subject and can reduce their interaction and social participation, being delicate markers of mental health.
DOI: 10.6084/m9.figshare.20484357.v3
title: Prevalence, causes and impacts of human trafficking in Asian countries: A scoping review

description: The purpose of this study is to collect evidence on human trafficking in Asian countries. A systematic review methodology was used to search online databases including Sage Journals Online, Wiley Online, Hein Online, Taylor & Francis Online, Web of Science, and Scopus literature to amalgamate information on this issue. For the purposes of this article, 64 studies met the inclusion criteria after searching and screening a total number of 1278 studies. The findings of this study were classified under three categories: prevalence of human trafficking in Asia, causes of human trafficking in Asia (poverty and unemployment, environmental and manmade disaster, weak policies and corruption), and impacts of human trafficking including social, health, physical, psychological impacts. <br>
DOI: 10.6084/m9.figshare.5044636.v5
title: Introduction to Likelihood

description: This video lecture and slide set provides a clear and intuitive visual explanation of P value- and maximum likelihood-based inference and confidence interval derivation, using a simple example based on estimating HIV prevalence from a small sample of people tested in a large city.<br><br>Latest slide set with video, MMED 2017:- 'Bellan-IntroLikelihood.pdf'- 'Bellan-Intro to Likelihood.mp4'<br>Latest slide set, MMED 2018:'BellanIntroLikelihoodMMED2018.pdf'<br><br>
DOI: 10.6084/m9.figshare.5861901.v1
title: Rio de Janeiro: Considerations on the Process of Urban Expansion and Internalization of Growth (1980-2010)

description: Abstract This article aims to analyze the process of urban expansion of the State of Rio de Janeiro that took place from the 1980s to the 2010s, trying to understand the meaning of internalization of population growth in the state. In this analysis, we place emphasis on internal migration, considering its key role in this process. In this sense, the study discusses the change in the role played by the State of Rio de Janeiro in the context of internal migrations in Brazil and the loss of importance of interstate migration as determinant of the expansion of urban areas and internalization of growth. In addition, this article demonstrates the increasing importance of intrastate migration to such processes. The key (consolidated) indicators of internal migration and the mean annual rates of population growth showed that since around the early 1980s, the municipalities along the northern coast of Rio de Janeiro - Coastal Lowlands and North of Rio de Janeiro - have been the ones with the greatest positive net migration, the largest TLM and the highest rates of population growth. These migration flows represent, therefore, the main front of internalization of the State. It is important to note that these migrations consist of as till timid process of internalization of growth, given the huge concentration of the population in the metropolitan area of Rio de Janeiro.
DOI: 10.6084/m9.figshare.7429829.v1
title: Supplementary Material for: Clinical Drug Response Prediction by Using a Lq Penalized Network-Constrained Logistic Regression Method

description: <b><i>Background/Aims:</i></b> One of the most important impacts of personalized medicine is the connection between patients’ genotypes and their drug responses. Despite a series of studies exploring this relationship, the predictive ability of such analyses still needs to be strengthened. <b><i>Methods:</i></b> Here we present the L<i>q</i> penalized network-constrained logistic regression (L<i>q</i>-NLR) method to meet this need, in which the predictors are integrated into the gene expression data and biological network knowledge and are combined with a more aggressive penalty function. Response prediction models for two cancer targeting drugs (erlotinib and sorafenib) were developed from gene expression data and IC50 values from a large panel of cancer cell lines by utilizing the proposed approach. Then the drug responders were tested with the baseline tumor gene expression data, yielding an <i>in vivo</i> drug sensitivity prediction. <b><i>Results:</i></b> These results demonstrated the high effectiveness of this approach. One of the best results achieved by our method was a correlation of 0.841 between the cell line <i>in vitro</i> drug response and patient’s <i>in vivo</i> drug response. We then applied these two drug prediction models to develop a personalized medicine approach in which the subsequent treatment depends on each patient’s gene-expression profile. <b><i>Conclusion:</i></b> The proposed method is much better than the existing approach and can capture a more accurate reflection of the relationship between genotypes and phenotypes.
DOI: 10.6084/m9.figshare.8313530.v7
title: ChinaCropPhen1km: A high-resolution crop phenological dataset for three staple crops in China during 2000-2019 based on LAI products

description: This dataset provides 1km-grid crop phenological dataset for three main crops (i.e., rice, wheat, and maize) of China from 2000 to 2019.<br> *** The format of provided data is GeoTIFF, i.e., the georefercing information was embedded within the TIFF file. Each file was projected to the Asia North Albers Equal Area Conic projection, with a spatial resolution of 1km.<br>*** The pixel value is the Julian Day of the Year (DOY).<br> *** Filename convention: CHN_CropType_KeyPhenologicalStages_Year.tif *** CropType: includes Maize, Wheat, Rice(SR&ER) and Rice(LR), where Rice(SR&ER) represents single-rice and early-rice, Rice(LR) represents late-rice only.*** KeyPhenologicalStages: GR&EM: Green up & Emergence date for wheat; V3: V3 stage for maize; TR: Transplanting date for rice; HE: Heading date for all the crops; MA: Maturity date for all the crops. *** Year: Values from 2000 to 2019
DOI: 10.17632/7dh2v9tjnd
title: Collection of teaching and learning experiences and construction of the subjectivities of teachers and students in times of pandemic: Virtual Ethnography

description: El siguiente artículo presenta los resultados de una investigación realizada a partir de una etnografía virtual en el aula,en el contexto de la contingencia sanitaria por el Covid-19, situación que afectó a nivel social los procesos educativos de la escuela llevando a un trasegar de la 174ISSN: 2027-5528. CC BY 4.0 presencialidad a la virtualidaddebido al confinamiento generado como respuesta para evitar la propagación por el contagio entre los estudiantes y maestros. Lainvestigación tienecomo objetivo comprender los relatos etnográficos sobre las experiencias de enseñanza y aprendizaje en tiempos de pandemia a través de la educación virtual de maestros y estudiantes de grado once de bachillerato; lo que llevaría, por otro lado, a generar un acercamiento a la comprensión de las dinámicas en el aula por parte de los propios sujetos junto con la construcción de sí mismos, de sus subjetividades, a través de sus nociones, sentido común instalado, sus formas de comunicarse a través de la virtualidad y en el aula.
DOI: 10.17632/v79pwbcdpy
title: Relationship of School-Based Individual Reading Inventory and Self Reading Assessment Strategies: Basis for Senior High School Intervention Reading Program

description: The declining reading proficiency in the Philippines, as evidenced by PISA 2018 and 2023 results, has
raised concerns regarding national reading assessment strategies and their impact on student learning
outcomes. The current Philippine Individual Reading Inventory (Phil-IRI) provides a diagnostic tool but
lacks integration with students' self-reading assessments. Understanding this relationship is crucial for
designing more effective remedial reading programs. This study investigates the correlation between
school-based individual reading inventory scores and self-reported reading assessments among senior high
school students. Using a correlational descriptive design, data from 230 students were analyzed to
determine significant relationships. Results indicate a statistically significant correlation (Pearson r, p &lt;
0.05) between Phil-IRI reading levels and students' self-assessment scores. Findings suggest that selfreported reading strategies influence actual reading performance, with implications for targeted intervention
programs. The study confirms that integrating self-reading assessments with school-based reading
inventories provides a more comprehensive understanding of student reading abilities. This approach can
help identify at-risk students more effectively. Future research should explore adaptive reading
interventions incorporating student self-assessments alongside national diagnostic tools. Additionally,
teacher training in individualized reading interventions is recommended to enhance student engagement.
DOI: 10.6084/m9.figshare.23123429.v1
title: Supporting Data for manuscript entitled "sAMP-VGG16: A Drude Polarizable Force Field assisted Deep Transfer Learning based Prediction Model for Short Antimicrobial Peptides"

description: During the last three decades, antimicrobial peptides (AMPs) have emerged as a promising therapeutic alternative to antibiotics. The approaches for designing AMPs span from experimental trial-and-error methods to synthetic hybrid peptide libraries. To overcome the exceedingly expensive and time-consuming process of designing effective AMPs, many computational and machine-learning tools for AMP prediction have been recently developed. In general, to encode the peptide sequences, featurization in these rely on approaches based on (a) amino acid composition, (b) physicochemical properties, (c) sequence similarity, and (d) structural properties. In this work, we present an image-based deep neural network model to predict AMPs, where we are using feature encoding based on Drude polarizable force-field atom types, which can capture the peptide properties more efficiently compared to conventional feature vectors. The proposed prediction model identifies AMPs with promising accuracy and efficiency and can be used as a next-generation screening method for predicting new AMPs.
DOI: 10.6084/m9.figshare.24996407.v1
title: Dataset (NVP Index)

description: Systemic immune inflammation index, systemic inflammatory response index and pan-immune inflammation value in predicting nausea and vomiting in pregnancy and the need for hospitalization Abstract Objective To investigate the role of the systemic immune-inflammation index (SII), systemic inflammatory response index (SIRI) and pan-immune inflammation value (PIV) in predicting nausea and vomiting in pregnancy (NVP). Study Design Women diagnosed and treated for NVP at a large tertiary hospital between 2016 and 2021 were retrospectively analyzed. After applying the inclusion criteria, a total of 278 eligible patients with NVP and 278 gestational age-matched healthy pregnant women were included. Patients with NVP were divided into mild (n=58), moderate (n=140) and severe NVP (n=80). Patients with moderate and/or severe NVP who were at high risk for hospitalization were pooled and assigned to an inpatient treatment group. The data from the first trimester of the groups were then compared. Results SII and PIV were significantly higher in the NVP group than in the control group, while SII, SIRI and PIV were significantly higher in the inpatient treatment group than in the mild NVP group. The comparison of overall performance in predicting the development of NVP showed that SII was better than PIV (p&lt;0.001), while there was no significant superiority between SII, SIRI and PIV in predicting the need for inpatient treatment. An SII with a cut-off value of &gt;1207x103/µL (47.48% sensitivity, 82.01% specificity) had the highest discriminatory power for predicting NVP. Conclusion Our results suggest an association between high SII and PIV and an increased risk of future NVP. These markers can be used as a first-trimester screening test to improve treatment planning of pregnancies at high risk of HG.
DOI: 10.6084/m9.figshare.3492707.v1
title: Topcon 3D-OCT 1000 repeatability dataset.tif

description: Repeatability dataset comprising OCT (20°x20°; 512x128) images obtained on 25 participants, at two separate imaging sessions, using a Topcon 3-D OCT 1000.
DOI: 10.6084/m9.figshare.729214.v1
title: DoOP plants v1.6 dataset

description: Promoter sequences, alignments and conserved motifs for the DoOP database, plant section, v1.6.
DOI: 10.15468/dl.c22prn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Argentina silus (Ascanius, 1775)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((45.6579 11.3446,44.9648 11.0757,44.9648 10.8496,51.6539 10.8496,51.6211 10.9131,51.7357 12.0497,51.4872 12.2937,50.7681 12.4846,50.3292 12.3424,50.0295 12.0332,49.0651 11.773,47.2785 11.6543,46.4751 11.2145,45.6579 11.3446))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013353-250525065834625/datasets/export for details.
DOI: 10.17632/g2nxm8ctsx
title: A Cobertura Noticiosa da Crise Israelo-Palestiniana de 2021 na Imprensa Online Portuguesa

description: Este estudo pretende compreender de que forma foi realizada a cobertura noticiosa da última grande crise entre Israel e a Palestina, desdobrada entre 6 e 21 de maio de 2021, no contexto do jornalismo online em Portugal, assim como, complementarmente, explorar as reações dos seus leitores nas respetivas secções de comentários. Esta investigação afigura-se importante para a área das Ciências da Comunicação pelo seu pioneirismo em Portugal e na língua portuguesa ao ligar este tema tão atual, controverso e segregador à abordagem da comunicação de massas, mais concretamente da imprensa online. Na primeira parte do estudo, aplicou-se uma análise de conteúdo categorial a uma amostra de 337 notícias e 100 comentários, que indicou que se desenvolve um jornalismo de guerra pela maioria dos jornais online, que houve um retrato vincadamente institucionalizado e militarizado da posição israelita contraposto por uma caracterização personalizada e vitimizada da posição palestiniana, e que ocorreu uma polarização dos comentários dos utilizadores, que é variante entre as diferentes plataformas jornalísticas. Na segunda parte, por sua vez, executou-se uma análise crítica do discurso, com uma amostra composta por seis notícias (uma de cada jornal), que revelou um reforço semântico da dinâmica de poder opressor/oprimido entre Israel e a Palestina estabelecida no ponto anterior.

Palavras-chave: cobertura noticiosa; representação mediática; conflito israelopalestiniano; jornalismo online; secção de comentários.
DOI: 10.6084/m9.figshare.3385780.v3
title: Distributed Solar Photovoltaic Array Location and Extent Data Set for Remote Sensing Object Identification

description: Earth-observing remote sensing data, including aerial photography and satellite imagery, offer a snapshot of the world from which we can learn about the state of our environment, anthropogenic systems, and natural resources. The components of energy systems that are visible from above may be assessed with these remote sensing data when combined with machine learning methods. Here we focus on the information gap in distributed solar photovoltaic (PV) arrays, of which there is limited data on solar PV deployments at small geographic scales. We created a machine learning dataset to develop the process of automatically identifying solar PV locations through the use of remote sensing imagery.<br>This dataset contains the geospatial coordinates and border vertices for 19,433 solar panels across 601 high resolution images from four cities in California. Dataset applications include training object detection and other machine learning algorithms that use remote sensing imagery, developing specific algorithms for predictive detection of distributed PV systems, and analysis of the socioeconomic correlates of PV deployment.<br>Links to the aerial photographs from Fresno, Stockton, Oxnard, and Modesto can be found in the references.<br><i>Note: this version of the dataset has been improved to increase the accuracy of polygon georeferencing so that the data can be more easily integrated with imagery other than than the original imagery from which the annotations were based. Additionally, a small number of polygons were found to be erroneous annotations and either corrected or removed.</i>
DOI: 10.6084/m9.figshare.5241727.v1
title: Erratum: Management of von Hippel-Lindau Disease: An Interdisciplinary Review

description: Von Hippel-Lindau (VHL) disease is an autosomal dominantly inherited tumour predisposition syndrome with an incidence of 1:36,000 newborns, the estimated prevalence in Europe is about 1-9/100,000. It is associated with an increased risk of developing various benign and malignant tumours, thus affecting multiple organs at different time points in the life of a patient. Disease severity and diversity as well as age at first symptoms vary considerably, and diagnostic delay due to failure of recognition is a relevant issue. The identification of a disease-causing VHL germline mutation subsequently allows family members at risk to undergo predictive genetic testing after genetic counselling. Clinical management of patients and families should optimally be offered as an interdisciplinary approach. Prophylactic screening programs are a cornerstone of care, and have markedly improved median overall survival of affected patients. The aim of this review is to give an overview of the heterogeneous manifestations of the VHL syndrome and to highlight the diagnostic and therapeutic challenges characteristic for this orphan disease. A comprehensive update of the underlying genetic and molecular principles is additionally provided. We also describe how the St. Gallen VHL multidisciplinary group is organised as an example of interdisciplinary cooperation in a tertiary hospital in Switzerland.
DOI: 10.17632/csd32bm8zx
title: Dataset for Drone-based Inspection of Road Pavement Structures for Cracks

description: The dataset is available online as a benchmarking dataset for drone-based inspection of pavement structures. The data were acquired in an experimental road with a length of 386 meters, belonging to Montmorency Forest laboratory of Université Laval, located in North of Quebec City, on 2021/06/16. The road is mainly used for testing pavement paints, laying techniques, and inspection simulations. A DJI MINI 2 drone was employed to collect images for this dataset. The drone has a 12 megapixels camera with an 83 degrees field of view, capturing 1920 x 1080 images in the continuous recording mode. The drone performs six passes on an experimental road at different altitudes and horizontal speeds. The drone was controlled manually, and the footage was acquired using the embedded camera that stabilized and controlled using the drone's gimbal. Moreover, after data acquisition, the length and width of some cracks and road landmarks were measured for evaluating crack characterization. 

**** In case of any use, please cite this dataset and our paper ****
DOI: 10.17632/nzzmhwfgcf
title: Data for: Parallelograms revisited: Exploring the limitations of vector space models for simple analogies

description: Human response data related to analogical reasoning for all experiments from "Parallelograms revisited: Exploring the limitations of vector space models for simple analogies", by Joshua Peterson, Dawn Chen, and Thomas Griffiths.
DOI: 10.6084/m9.figshare.28668173.v1
title: ChinaCP-Wheat10m

description: ChinaCP-Wheat10m: 10-m national-scale wheat Cropping Patterns distribution map in China
DOI: 10.17632/scbzsb23h4
title: AI for Empowering Women in AI

description: This Research Data Package contains datasets from a Systematic Literature Review (SLR) on AI for Empowering Women in AI. The data includes:

Dataset_SLR.csv: All studies retrieved from Scopus using the predefined search query.
Dataset_Primary_Studies.csv: The final selection of primary studies after applying inclusion/exclusion criteria and quality assessment.

These datasets document the study selection process.