cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29135876.v3
title: The remote sensing data used in our study

description: In our research, the experimental data include the following types: Sentinel-2 MSI L1C data, Copernicus GLO-30 DEM data, and field soil sampling data. Among these, the Sentinel-2 MSI data is L1C level and can be accessed from the official website of the European Space Agency (ESA) at https://dataspace.copernicus.eu/explore-data/data-collections/sentinel-data/sentinel-2. The Copernicus GLO-30 DEM data can be obtained from ESA's official platform at https://panda.copernicus.eu/panda. The field soil sampling data were collected by our research team and can be made available from the corresponding author upon reasonable request.
DOI: 10.6084/m9.figshare.4265315.v1
title: Supplementary Material for: A Neuroimaging Strategy for the Three-Dimensional in vivo Anatomical Visualization and Characterization of Insular Gyri

description: <b><i>Background:</i></b> Interest in the anatomy of the insula is driven by its multifunctionality and the need for accurate visualization for surgical purposes. Few in vivo studies of human insular anatomy have been conducted due to methodological and anatomical challenges. <b><i>Objective:</i></b> We used brain cortical morphometry tools to accurately reconstruct insular topology and permit a detailed visualization of its gyri in 3 dimensions. <b><i>Methods:</i></b> Sixty healthy subjects (33 females; 37.8 ± 12.8 years) underwent 3-tesla MRI scans. The strategy for characterizing the insula was: (1) create 3-dimensional (3-D) insula representations for visual analysis; (2) rate topological features using a gyral conspicuity index; (3) identify individual variations across subjects/between groups; (4) compare to prior findings. <b><i>Results:</i></b> Insular reconstruction was achieved in 113/120 cases. The anterior short, posterior short, anterior long gyri and central sulcus were easily identified. In contrast, middle short (MSG), posterior long (PLG) and accessory gyri (AG) were highly variable. The MSG, but not the PLG or AG, was clearer in males and in the left hemisphere, suggesting sex- and laterality-related differences. <b><i>Conclusions:</i></b> A noninvasive in vivo 3-D visualization strategy revealed anatomical variations of the insula in a healthy cohort. This methodological approach can be adopted for broad clinical and/or research purposes.
DOI: 10.17632/h68r8v8yxp
title: FaceTherm Suicide Risk (FTSR) Dataset

description: The FaceTherm Suicide Risk (FTSR) Dataset is a collection of thermal facial images of patients with depression in RGB format. The dataset consists of 152 images, categorized into two classes: 76 images of individuals at risk of suicide and 76 images of individuals not at risk. The images are stored in PNG format with a resolution of 300×300 pixels. This dataset can be utilized as training data for developing deep learning models aimed at assessing suicide risk in patients with depression.
DOI: 10.6084/m9.figshare.22362955.v2
title: Accelerating Atmospheric Gravity Wave Simulations using Machine Learning

description: Gravity waves (GWs) and their associated multi-scale dynamics are known to play fundamental roles in energy and momentum transport and deposition processes throughout the atmosphere. We describe an initial machine learning model - the Compressible Atmosphere Model Network (CAM-Net). CAM-Net is trained on high-resolution simulations by the state-of-the-art model Complex Geometry Compressible Atmosphere Model (CGCAM). Two initial applications to a Kelvin-Helmholtz instability source and mountain wave generation, propagation, breaking, and Secondary GW (SGW) generation in two wind environments are described here. Results show that CAM-Net can capture the key 2-D dynamics modeled by CGCAM with high precision. Spectral characteristics of primary and SGWs estimated by CAM-Net agree well with those from CGCAM. Our results show that CAM-Net can achieve a several order-of-magnitude acceleration relative to CGCAM without sacrificing accuracy and suggests a potential for machine learning to enable efficient and accurate descriptions of primary and secondary GWs in global atmospheric models.
DOI: 10.6084/m9.figshare.23167349.v1
title: Supplementary Data

description: ATAC and RNA marker gene list
DOI: 10.6084/m9.figshare.22714900.v1
title: Systemic infection of <i>Bryoria</i> (Lecanoromycetes, Ascomycota) by <i>Athelia</i> (Agaricomycetes, Basidiomycota) in western North America

description: <i>Bryoria</i> (Parmeliaceae, Ascomycota) is one of the dominant genera of hair lichens in western North America and is characteristic of high-elevation conifer forest ecosystems. In areas where <i>Bryoria</i> is abundant, it is common to find thalli in which the thalline filaments become conglutinated, forming brittle dead zones. After sampling <i>Bryoria</i> thalli across western Canada and the northwestern United States at different times of the year, we found that this dieback phenomenon is associated with the winter growth of a mold-forming basidiomycete. We report that this fungus belongs to <i>Athelia</i> (Atheliaceae, Basidiomycota), a genus known to contain lichen pathogens, most notably <i>A. arachnoidea</i>. By sequencing a combination of genetic markers—nuc rDNA internal transcribed spacer region ITS1-5.8S-ITS2 (ITS), partial nuc 28S rDNA (28S), and partial translation elongation factor 1-α (<i>TEF1</i>)—paired with morphometric analyses, we reveal the involvement of at least three additional lineages of lichen-associated <i>Athelia</i> and describe one as a new species, <i>A. abscondita. Athelia abscondita</i> is morphologically distinguished from other <i>Athelia</i> species by its basidia and basidiospores, was found to frequently infect members of <i>Bryoria</i> sect. <i>Implexae</i>, and was occasionally on other foliose and fruticose species within Parmeliaceae.
DOI: 10.17632/d8s2jg5n6t
title: Board interlocks, network characteristics and CSR data in Mexican Stock Exchange

description: The dataset that appears in this article includes network matrices that represent a firm’s similarity around characteristics such as industry, CEO duality, or profitability as well as the board interlocks’ ties (i.e. two firms sharing one or more board members). The data consists of ten matrices from 137 listed firms in 2011 (except for the ESR certification which refers to 2012.
DOI: 10.17632/tn373nrphc
title: SMDPR 2022

description: Data supporting legislative empowerment measure (LEM) and accountable local representation measure (ALRM)

These are universal and comprehensive measures of the democratic status of electoral systems, useful in deciding on a replacement electoral system for a country.

The source data is freely available through the Constituency Level Election Archive and the relevant official national sources as referenced internally. Second ballot calculations for single member district proportional representation (SMDPR) was obtained by adjusting an EKOS pre-election poll as shown.

An area chart is corrected in (2)
DOI: 10.6084/m9.figshare.28877111.v1
title: dataset.rar

description: A custom dataset was constructed for spoon food presence detection, containing manually labeled images across two categories: food present (Y) and no significant food (N). The dataset includes white porridge, cereal, yogurt, and strawberry jam samples. Various augmentations such as brightness adjustment, blurring, and noise injection were applied to enhance robustness, resulting in 1060 annotated images in PASCAL VOC format.
DOI: 10.6084/m9.figshare.5857962.v1
title: Analyzing data scripts

description: Example python scripts that can be used to analyse and parse the data uploaded to the repository
DOI: 10.17632/8cv6y7sb9d
title: Supplemental File S2 - Data set used for the meta-analysis and meta-regression to compare the production performance, feed efficiency, and milk N efficiency in Jersey versus Holstein cows

description: Final data set used for the statistical analysis of the meta analysis and meta-regression to compare the production performance, feed efficiency, and milk N efficiency in Jersey versus Holstein cows
DOI: 10.17632/2n9gstvrsy
title: Source data for Berger et al. Pre-clinical proof of principle for orally delivered Th17 antagonist miniproteins

description: Source data for Berger et al. Pre-clinical proof of principle for orally delivered Th17 antagonist miniproteins.
DOI: 10.17632/crhk7kwt8z
title: Table 1

description: Heat table with all 195 countries and territories ordered in a heat table with rows from highest (most wealthy) to lowest (least wealthy), and each country was numerically ranked in the world from 1 (red, highest DALYs) to 195 (blue, lowest DALYs) for each disease in 2017. MEL (melanoma), BCC (basal cell carcinoma), SCC (squamous cell carcinoma), ORA (oral/lip cancer), ACN (acne), PSO (psoriasis), SEB (seborrheic dermatitis), CON (contact dermatitis), ALO (alopecia areata), PRU (pruritus), DEC (decubitus ulcer), ATO (atopic dermatitis), URT (urticaria), CEL (cellulitis), PYO (pyoderma), VIR (viral skin disease), SCA (scabies), FUN (fungal skin disease), SYP (syphilis), HIV (Human Immunodeficiency Virus).
DOI: 10.17632/cvsn752b4h
title: Data for: Managing bi-heterogeneous decision information with individual concerns: A fusion approach based on trust and behavior analysis

description: This dataset contains both raw and processed data for the article. These data are not fully presented in the article due to the length of the text.
DOI: 10.17632/ny5rt94vn2
title: ASi, LPMe and dMe dataset for 'Incubation experiments characterize turbid glacier plumes as a significant source of Mn and Co to sea water'

description: This dataset is supplemented to the manuscript entitled 'Xunchi Zhu*, Mark J. Hopwood, Katja Laufer-Meiser, Eric P. Achterberg, Incubation experiments characterize turbid glacier plumes as a significant source of Mn and Co to sea water. It contains median size, amorphous silica and labile particulate (LP) Fe, Mn, Co, Cu, Ni and Cd contents of sediment samples collected from Svalbard and Greenland, and variation of dissolved inorganic phosphate (DIP), silicic acid (DSi), dissloved (d) Fe, Mn, Co, Cu, Ni and Cd concentrations observed in sediment-seawater incubation work performed under varying conditions of sediment load, incubation time, temperature and light condition. Labile particulate Fe, Mn, Co, Cu, Ni and Cd contents were processed following a 2 hour weak acid leach (Berger et al., 2008) and measured on HR-ICP-MS (Element XR). Dissolved Fe, Mn, Co, Cu, Ni and Cd samples were preconcentrated on seaFAST system (SC-4 DX, ESI) with standard addition (Mn and Co) and isotope dilution methods (Fe, Cu, Ni and Cd) exactly as per Rapp et al. (2017) and measured on HR-ICP-MS (Element XR). Amorphous silica was determined following the alkaline extraction method of DeMaster (1981). Macronutrient samples were analyzed on a Quaatro System (Seal Analytical, Germany) (Hansen and Koroleff, 1999). Grain size of particles was measured on Laser Particle Sizer (ANALYSETTE 22, FRITSCH). Seawater pH was measured with a pH sensor (Mettler Toledo).
DOI: 10.17632/p4dwrbbv3r
title: Identification of a Multivariate Mitochondrial Fitness Algorithm for Diagnosing Parkinson's Disease: Machine Learning Analysis of Phase I Data from the MITOPAT Study

description: Comprehensive reports, generated using R Notebooks, outlining detailed data analyses from the Phase I MITOPAT study.
DOI: 10.17632/s9t7sr52wg
title: Indian Bay Leaves or Cinnamomum Tamala Leaves Dataset

description: This dataset contains high-resolution images of Indian bay leaves (Cinnamomum tamala) categorized into three folders for classification tasks:

Healthy Leaf: This folder contains images of fresh, green Indian bay leaves without any visible damage or disease.
Dried Leaf: This folder contains images of dried Indian bay leaves, commonly used in cooking. The leaves may appear brown or slightly lighter depending on the drying process.
Diseased Leaf: This folder contains images of Indian bay leaves exhibiting signs of disease. These may include discoloration, spots, wilting, or other abnormalities.
This dataset is valuable for researchers and developers working on:

Machine learning for food quality inspection: Classifying healthy bay leaves for commercial use.
Disease detection in plants: Training algorithms to identify potential diseases in Indian bay trees.
Image recognition for medicinal plants: Developing applications for recognizing Indian bay leaves used in traditional medicine.
DOI: 10.6084/m9.figshare.3811587.v1
title: Leonarduzzi_TGG_data.zip

description: Data used in analyses presented by Leonarduzzi et al. in the manuscript "Effective gene flow in a historically fragmented area at the southern edge of silver fir (<i>Abies alba</i> Mill.) distribution." <i>Tree Genetics & Genomes</i>, 12:95<br>
DOI: 10.17632/3n3xz759hb
title: Transcriptome Profiling Reveals Dysregulation of Inflammatory and Protein Synthesis Genes in PCOS

description: Research analyzing the differentially expressed genes in PCOS. Screening of raw relevant gene data in the GEO database was conducted, and the GEO2R tool was utilized to identify differentially expressed genes, resulting in two sets of co-DEGs (108 and 102 genes respectively). Based on these data, enrichment and pathway analyses, PPI and HUB gene analysis were performed, with the assistance of the Gencards database for interpretation. These data represent the raw datasets for my research, derived from five sets of relevant gene raw data from four different studies in the GEO database, analyzed using the GEO2R tool.
DOI: 10.6084/m9.figshare.12980603.v2
title: Socioeconomic status, overweight and obesity in Latin American cities: a systematic review

description: <b>Context: </b>Currently it is not well understood to what extent there are obesity inequalities by socioeconomic status (SES) in urban Latin America. <b>Objective: </b>This study reviewed the literature assessing associations between overweight, obesity and SES in adults. <b>Data sources: </b>Pubmed and Scielo databases. <b>Data extraction: </b>Data extraction was conducted using the PRISMA guidelines. We extracted data on the direction of the association between SES (e.g. education and income), overweight (BMI ≥25 and &lt;30 kg/m<sup>2</sup>) and obesity (BMI≥30 kg/m<sup>2</sup>) in Latin American urban regions. Relative differences between low and high SES groups were assessed and defined a priori as significant at p&lt;0.05. <b>Data analysis: </b>Thirty-one studies met our inclusion criteria and most were conducted in Brazil (22) and Mexico. Only one study presented just non-significant associations. Fifty percent of associations between education or income and overweight were negative/inverse. Regarding obesity, 80% were negative and 20% positive. Most negative associations were found in women. Associations between BMI and SES usually followed the same pattern, except in men where they varied depending on the indicator used. <b></b> <b>Conclusion:<i> </i></b>Low SES individuals in urban Latin America, especially women, have higher BMI levels highlighting the need for interventions.
DOI: 10.6084/m9.figshare.29066567.v1
title: case data in table format

description: this data set in form of table contains essential information about the patients of Arterio venous malformation.
DOI: 10.6084/m9.figshare.3798651.v1
title: Rhombohedral to Bernal structural transformation in trilayer graphene

description: The poster was presented in Graphene 2016, April 19-22, Genova Italy
DOI: 10.6084/m9.figshare.9791612.v1
title: Data.xlsx

description: This data includes for the first experiment- empathy ratings by participants in response to pictures of losing and winning athletes. Before analyzing our data, we readjusted our scale so that the zero would be in the middle.We ran a paired samples t-test using the program IBM SPSS statistics v23 (2015). As for the second experiment- we used a statistical analysis to investigate which face and body features predicted the highest and lowest scores of empathy. On a five-point scale (from 1, very sad, to 5, very happy), the participants rated the level of empathy they felt with regard to the images on the screen. Since the dependent variable was ordinal (empathy level 1 to 5), we ran an ordinal cumulative mixed model with fixed effects, by participants and by items (i.e, by pictures). Each predictor had different numbers of levels. To standardize the contrast, we chose a simple coding scheme. The coding scheme was designed to compare the mean of the dependent variable for a given level to the overall mean of that level (e.g., for mouth, neutral/relaxed mouth was the reference level, for body, standing was the reference level). Finally, we ran a post-hoc analysis using the pairwise ordinal paired test using package lsmeans in R. This test calculates the p-values for each independent variable level from the paired cumulative link model.<br>
DOI: 10.17632/5932zhysmj
title: Data: Identifying environmentally sustainable foreign direct investment spillovers effects: How can FDI promote sectoral green productivity in Taiwan?

description: Data Set
DOI: 10.17632/j73ppf53pv
title: Chemical screen for regulators of osteoblast dedifferentiation and regenerative growth during zebrafish fin regeneration
DOI: 10.17632/n9xzfdxymt
title: K isotope compositions (‰) of minerals in granitic rocks

description: K isotope compositions (‰) of plagioclase (Pl), K-feldspar (Kfs), amphibole (Amp), and biotite (Bt) from the Tagong granitic pluton as well as geostandards during analysis.
DOI: 10.17632/gw33xrgkm5
title: Data for: The relationship between impact speed and the probability of pedestrian fatality during a vehicle-pedestrian crash: a systematic review and meta-analysis

description: Study Protocol: This protocol provides evidence of the methods applied in this research activity. ImpactSpeed_MA.csv: This file includes the final extracted data used in our meta-analysis. ImpactSpeed_MA.r: This document provides the statistical analyses used in this research activity.
DOI: 10.17632/kbbfj6t7fv
title: The dataset and materials of "How exposure to natural scenes can promote weight control behaviors: A replication experiment"

description: We performed a behavioral experiment to replicate published findings showing that exposure to natural scenes, i.e., viewing pictures of natural versus urban scenes, is associated with the choice of a “reward drink” containing less sugar (i.e., a healthier dietary choice). In total, 140 participants were randomly assigned to one of two study conditions (viewing natural or urban scenes). Participants completed a task measuring temporal discounting. Two measures related to weight control were used: the amount of ice cream consumed in a taste test (actual food consumption) and the amount of sugar chosen for the reward drink. Compared to the urban group, the natural scene group chose reward drinks with less sugar and ate less ice cream in the taste test. The discounting rate fully mediated the impact of exposure to natural versus urban scenes on the two measures. The association between experimental exposure to natural scenes and weight control behaviors was not contingent on the intention to lose weight or participant sex. This replication experiment suggests that exposure to natural scenes helps individuals to control sugar intake and food consumption.
DOI: 10.6084/m9.figshare.28687325.v1
title: Metasinergia cultural y fundamentos teoricos

description: Este documento presenta un análisis interdisciplinario sobre la metasinergia cultural, explorando sus fundamentos teóricos desde una perspectiva filosófica, sociológica y económica. A través de una revisión crítica de la literatura, se examinan las dinámicas de interacción entre estructuras culturales, sistemas económicos y la evolución de la identidad colectiva. Se abordan conceptos clave como la sinergia social, la retroalimentación simbólica y la co-construcción de significados en entornos de transformación sociopolítica. Además, el estudio propone un marco teórico para comprender la convergencia de narrativas culturales en el contexto de la globalización y el impacto de las nuevas tecnologías en la reconfiguración del capital cultural.La investigación se sustenta en enfoques metodológicos cualitativos y hermenéuticos, utilizando estudios de caso y análisis comparativos para ilustrar la aplicabilidad del concepto de metasinergia en diversos contextos socioculturales. Su relevancia radica en su aporte a la comprensión de las dinámicas emergentes en la construcción de identidad y en la formulación de políticas culturales más inclusivas y adaptativas.Este documento es un recurso clave para investigadores en ciencias sociales, estudios culturales y economía política, proporcionando herramientas analíticas para evaluar la interdependencia entre cultura, economía y poder en la configuración del orden social contemporáneo.
DOI: 10.17632/6h587m5mtg
title: Conjunto de datos del Concurso en Ingeniería de Control 2023 (CIC2023) de CEA

description: Este conjunto de datos contiene los archivos, documentación e información relacionados con el Concurso en Ingeniería de Control 2023 organizado en el Grupo Temático en Ingeniería de Control del Comité Español de Automática (CEA) desde la Universidad de Córdoba, donde el Dr. Juan Garrido fue el responsable del equipo de profesores encargado.
El Concurso en Ingeniería de Control (CIC) de CEA se plantea cada año como un problema de control que pueda servir como una herramienta de trabajo para estudiantes en asignaturas de titulaciones oficiales, ingenierías, grado, máster y doctorado en el área de la identificación y control de procesos, así como una plataforma para mejorar la visibilidad del área de Ingeniería de Control, tanto en el entorno académico como de cara a la sociedad. El concurso requiere de la participación activa de un tutor, que haga las funciones de interlocutor con la organización y se encargue de formar y asesorar a los concursantes, los cuales deben realizar el trabajo de manera autónoma. La edición del Concurso en Ingeniería de Control 2023 trató sobre el control de una turbina eólica de gran potencia y se desarrolló en dos fases: Fase 1 para clasificar a los mejores equipos de cada categoría y Fase 2 para determinar a los ganadores que resultaron premiados en cada categoría.
El conjunto de datos incluye:
- Web CIC 2023.pdf: contiene la web del concurso.
- CIC2023_Bases.pdf: documento con las bases del concurso.
- CIC2023_Descripción.pdf: documento con la descripción técnica del concurso.
- CIC2023 Fase1 Categoría1.zip: paquete con todos los archivos necesarios para afrontar este concurso en la categoría 1 (estudiantes de grado) y cuyo contenido se describe en el archivo CIC2023_Descripción.pdf.
- CIC2023 Fase1 Categoría2.zip: paquete con todos los archivos necesarios para afrontar este concurso en la categoría 2 (estudiantes de máster y doctorado) y cuyo contenido se describe en el archivo CIC2023_Descripción.pdf.
- Formulario de inscripción CIC 2023.pdf: recoge el formulario web usado para inscribir a los participantes.
- CIC2023 Inscritos.pdf: lista de equipos inscritos en ambas categorías y su información asociada.
- CIC2023 clasificación FASE 1.pdf: lista de equipos clasificados tras la Fase 1.
- CIC2023_Bases - Fase2.pdf: documento con las instrucciones para la Fase 2 en ambas categorías.
- CIC2023 Resultados Finales.pdf: resultados finales del CIC2023 y proclamación de ganadores tras la Fase 2.
DOI: 10.17632/ntkd758hh3
title: ASV table for 18s rRNA metabarcoding

description: This dataset consists of 18S rRNA amplicon sequence variants (ASVs) derived from seawater samples collected during the pre-commissioning phase of the H-OTEC plant in Port Dickson, Negeri Sembilan, Malaysia.