cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.9702122.v4
title: Collecting, exploring and sharing personal data: why, how and where

description: The list of 438 wearable devices identified in June 2018 as leveraged for Quantified Self activities. Each wearable is annotated with all output channels provided by it and labelling of "if existing" if the company still exists and the product is available as of May 2019. Please provide any feedback you may have for this file to the authors.<br>Appendix for a paper - Estrada-Galiñanes, V., & Wac, K. Collecting, exploring and sharing personal data: Why, how and where. <i>Data Science</i>, 1-28. 2020.- First appeared in: Wac, K. (2018). From quantified self to quality of life. In <i>Digital Health</i> (pp. 83-108). Springer, Cham.
DOI: 10.17632/wkfwm8zjv6
title: Data for: Linking the Bitter Springs Carbon Isotope Anomaly and early Neoproterozoic Oxygenation through I/[Ca+Mg] ratios

description: Data table of carbonate samples from northeastern Svalbard (δ13C and δ18O from Halverson et al., 2005, 2007 with the exception of G1629 section, and I/[Ca+Mg] ratios from Lu et al., 2017), Greenland (δ13C and δ18O from Halverson et al., 2005, 2007) and northwest Territories (NWT).
DOI: 10.6084/m9.figshare.12830576.v1
title: Apocynaceae_single_copy_nuclear_gene_bait_sequences_only.txt

description: Targeted sequencing probes for solution hybridization to enrich for single copy nuclear genes in Apocynaceae. This file does not contain probes for <i>dhs </i>and <i>hss.</i>
DOI: 10.6084/m9.figshare.23257940.v1
title: Supplementary Data for "Gosha: a database of organisms with experimentally defined optimal growth temperatures"

description: The data provided in this document are associated with the manuscript initially published as a BioRxiv preprint, which can be accessed at: <strong>https://www.biorxiv.org/content/10.1101/2021.12.21.473645v1.abstract</strong> <br> The dataset "all_species_temperatures" includes records that describe the sources of optimal growth temperature values for each organism. Additionally, it includes a consensus optimal growth temperature, which represents the median value in cases where temperature values are obtained from different databases. <br> The datasets named "ncbi_temperatures" comprise the current datasets of NCBI-deposited complete genomes that have been annotated by us with respect to the optimal growth temperature of bacterial, archaeal and eukaryotic species.
DOI: 10.6084/m9.figshare.3525566.v1
title: Appendix A. A table showing a summary of different mean life-history traits, population dynamic characters, and geographical information from 75 perch populations.

description: A table showing a summary of different mean life-history traits, population dynamic characters, and geographical information from 75 perch populations.
DOI: 10.17632/dkv23c469n
title: Supplemental material - Global, regional, and national burden of disease attributable to diet low in milk, 1990-2021: an updated analysis of the Global Burden of Disease study 2021

description: Supplementary Materials-Global, regional, and national burden of disease attributable to diet low in milk, 1990-2021: an updated analysis of the Global Burden of Disease study 2021
DOI: 10.17632/vhgt4fw2gd
title: Clinical characteristics in iRBD (Grant RF-2018-12366746)

description: This dataset includes raw data analyzed and published in the following paper: Sarasso E, Gardoni A, Marelli S, Balestrino R, Zenere L, Castelnuovo A, Malcangi M, Basaia S, Grassi A, Tettamanti A, Canu E, Ferini-Strambi L, Filippi M, Agosta F. Gait Analysis and Magnetic Resonance Imaging Characteristics in Patients with Isolated Rapid Eye Movement Sleep Behavior Disorder. Mov Disord. 2024 Jul 4. doi: 10.1002/mds.29911. Epub ahead of print. PMID: 38962883 
This publication was funded by the Italian Ministry of Health, Grant RF-2018-12366746
DOI: 10.17632/8997r89fbf
title: Dataset of outer radius of tropical cyclones from a radial wind profile

description: The TC size database presented here has a comma-delimited text format with six-hourly information on the date, location, maximum wind speed (km/h), minimum central pressure (hPa), estimated radius of maximum wind speed (km), estimated R34, R50, R64, and R100 critical wind radii, and outer radius (km) calculated by the Willoughby et al. (2006) radial wind profile of all known TCs and subtropical cyclones. 

Data description

In lines like this: AL112017, IRMA, 66,

AL112017: TC code
IRMA: TC name
66: Number of entries of this TC in the database

In lines like this: 20170902, 1800, 18.7N, 44.1W, 225.7, 933, 29.99, 237.0, 145.5, 93.00, 55.00, 786.00

20170902: date (YYMMDD)
1800        : hour (hhmm)
18.7N      : TC center latitude (N: North Hemisphere, S: South Hemisphere)
44.1W      : TC center longitude (W: Western Hemisphere, E: Eastern Hemisphere)
225.7        : Maximum wind speed on surface average in one minute (km/h)
943           : Central pressure at sea level (hPa)
29.99        : Estimated radius of maximum wind speed (km)
237.0        : R34- radius of 34kt (km) 
145.5        : R50- radius of 50kt  (km)
93.00        : R64- radius of 64kt  (km)
55.00        : R100- radius of 100kt  (km)
786.00      : TC outer radius (km)
Missing data is denoted by  -9999

Further data description can be found in
Pérez-Alarcón, A.; Sorí, R.; Fernández-Alvarez, J.C.; Nieto, R.; Gimeno, L. (2022). Dataset of outer tropical cyclone size from a radial wind profile. Data in Brief, 40, 107825, https://doi.org/10.1016/j.dib.2022.107825.
DOI: 10.17632/f89vg2dhtg
title: Farahat, Ashraf (2021), MAVEN GDS2018

description: MAVEN data during the 2018 global dust storm (GDS2018)
DOI: 10.17632/hfyth5t3gg
title: TOMATO

description: The dataset comprises over 500 images of tomatoes (Solanum lycopersicum), categorized into two classes: "good" and "bad." These images were captured using a Redmi 9 Power mobile camera against a black background under daylight conditions.

**Data Description:**

1. **Classes:**
 - Good: Represents healthy tomatoes exhibiting desirable characteristics such as uniform color, shape, and absence of blemishes, bruises, or signs of disease.
 - Bad: Encompasses tomatoes displaying signs of damage, disease, or other undesirable traits such as discoloration, rot, deformities, or pest infestation.

2. **Image Collection:**
 - The dataset consists of over 500 images, with a substantial number depicting both good and bad instances of tomatoes.
 - Images were captured under consistent daylight conditions to ensure uniformity and minimize environmental variability.
 - A black background was employed to enhance tomato visibility and isolate the subject.

3. **Data Source:**
 - Images were captured using a Redmi 9 Power mobile camera, ensuring consistent image quality and resolution across the dataset.
 - Daylight conditions were chosen to provide natural lighting, reducing artificial effects on tomato appearance.

4. **Annotation:**
 - Each image is labeled according to its class (good or bad), facilitating supervised learning tasks.
 - Annotations may include bounding boxes or masks outlining the tomato area to aid in localization tasks.

5. **Data Preprocessing:**
 - Preprocessing techniques such as resizing, normalization, and background removal may have been applied to the images to improve model performance and reduce computational complexity.
 - Metadata such as image resolution, format, and capture settings may accompany the dataset for reference.

6. **Data Distribution:**
 - The dataset maintains a balanced distribution between good and bad tomatoes, ensuring equal representation of both classes.
 - Randomization techniques may have been utilized during data collection and organization to prevent biases in model training.

7. **Potential Applications:**
 - The dataset can be used for various machine learning tasks, including classification, object detection, and image segmentation, particularly in agricultural applications.
 - Applications may include automated sorting systems for tomato quality control, disease detection, and yield optimization.

8. **Limitations:**
 - Despite efforts to ensure data consistency and quality, variations in lighting conditions, camera angles, and tomato orientation may introduce some degree of variability.
 - The dataset primarily focuses on tomatoes of Solanum lycopersicum and may not generalize well to other tomato varieties or environmental conditions.
DOI: 10.17632/n65436ctw7
title: A novel proof-of-concept study assessing the lightening effects and safety of malassezin for treatment of facial hyperpigmentation

description: This is the supplementary data for the Research Letter (Journal of the American Academy of Dermatology) DOI: https://doi.org/10.1016/j.jaad.2021.10.008

This data is provided by the authors to give readers additional information about their work.

Purpose
The primary objective of this seminal and first proof-of-concept, double-blind, dose-ranging study was to investigate the efficacy and safety of malassezin, a natural indole metabolite of Malassezia furfur, for mild, moderate, and severe facial hyperpigmentation secondary to photodamage or melasma.

Conclusion
Malassezin is a highly active agonist of the aryl hydrocarbon receptor with key homeostasis functions that may impact the mechanism of pigmentation reduction​ as shown by in vitro testing demonstrating that malassezin is not a tyrosinase inhibitor. The major strength of this investigation is the early onset of lightening visible at weeks 2 and 4 and the maintenance of improvement for 8 weeks after treatment, an outcome that has been rarely reported in other clinical trials.
DOI: 10.17632/nzjch5ydnf
title: Multimodal cues displayed by submissive rats promote prosocial choices by dominants. Gachomba et al.

description: The dataset contains behaviour of 43 pairs of rats performing the Prosocial Choice Task (PCT), as presented in [1]. In this two-choice task, one decision-maker rat can choose in each trial between providing food reward only to itself (selfish choice) or both to itself and a conspecific recipient (prosocial choice). Pairs were divided in different groups with the aim to assess how familiairty of the recipient, sex of the dyad, and the dominance relationship affected rats' prosocial behaviour.

[1] Michael Joe Munyua Gachomba, Joan Esteve-Agraz, Kevin Caref, Aroa Sanz Maroto, Helena
Bortolozzo-Gleich, Diego Andrés Laplagne, Cristina Márquez (2022). Multimodal cues displayed by submissive rats promote prosocial choices by dominants.
DOI: 10.17632/wyfpyvh7kr
title: DIABETES MELLITUS TIPO II

description: La diabetes mellitus tipo 2 se presenta como una afección metabólica crónica, caracterizada por la elevación persistente de los niveles de glucosa en el torrente sanguíneo. A diferencia de la diabetes tipo 1, donde existe una deficiencia absoluta de insulina. Se manifiesta por una respuesta inadecuada a la insulina, conocida como resistencia a la insulina, y una eventual disminución en la producción de esta hormona.

Diversos factores de riesgo predisponen al desarrollo de la DM2, entre los que destacan el sobrepeso y la obesidad, especialmente la acumulación de grasa abdominal, la inactividad física, la predisposición genética, la edad avanzada, la pertenencia a ciertos grupos étnicos, la hipertensión arterial, las alteraciones en los niveles de colesterol, el síndrome de ovario poliquístico y los antecedentes de diabetes gestacional.

Los síntomas pueden variar en intensidad, pero suelen incluir sed excesiva, micción frecuente, fatiga, visión borrosa, infecciones recurrentes, dificultad en la cicatrización de heridas y entumecimiento o hormigueo en las extremidades. La falta de control, puede desencadenar complicaciones graves tales como enfermedades cardiovasculares, daño renal, neuropatía, retinopatía y problemas en los pies.

El diagnóstico se basa en la medición de los niveles de glucosa en sangre a través de pruebas como la glucosa en ayunas, la prueba de tolerancia a la glucosa oral y la hemoglobina. El tratamiento implica la adopción de cambios en el estilo de vida, como una dieta saludable y la práctica regular de ejercicio, así como el uso de medicamentos orales o inyectables, incluyendo la insulina en algunos casos.

La recopilación y el análisis de datos cuantitativos continuos, como los niveles de glucosa en sangre, la presión arterial, el colesterol y el índice de masa corporal, son fundamentales en el manejo. Estos datos permiten monitorear el control glucémico, evaluar el riesgo cardiovascular, seguir la progresión de la enfermedad, personalizar el tratamiento y avanzar en la investigación clínica.

Las tablas estadísticas desempeñan un papel crucial en la organización y presentación de datos cuantitativos, facilitando la identificación de tendencias, la comparación de grupos de pacientes y la interpretación de los resultados. Su uso es indispensable en la práctica clínica y en la investigación científica relacionada con la DIABETES MELLITUS TIPO 2.
DOI: 10.17632/s77f2khsrb
title: A custom detector construction pattern for Geant4 applications

description: Geant4 Detector Construction Pattern (G4DCP) is a template developed to flexibly construct complex detectors in Geant4 applications. The elements of G4DCP, including G4VUserDetectorConstruction, form an elegant template for detector setups. We construct a sample detector geometry utilizing this template and make the developed code available to the public.
DOI: 10.6084/m9.figshare.27320766.v1
title: Seagrass extent, carbon fixation and sequestration (Balearic Islands)

description: Seagrass extent dataset derived from Sentinel-2 (0-30 m), as well as the estimated annual carbon fixation and sequestration rate for Posidonia oceanica in the Balearic Islands. According to Pergent-Martini et al (2021) in Posidonia oceanica:Carbon fixation = -202.5 * ln (depth) + 724.6Carbon sequestration = -40.5 * ln (depth) + 145.5
DOI: 10.17632/td6j468vfp
title: Effect of Charismatic Signaling in Social Media Settings: Evidence from TED and Twitter (Data)

description: Effect of Charismatic Signaling in Social Media Settings: Evidence from TED and Twitter Version 3 differs from version 2 because we recoded gender so as to have the same codification across both studies (1= male, 0 = female) Abstract Given the challenges societies face on topics that are not localized (e.g., COVID-19 pandemic, global warming), informal leadership exercised in social media currently characterizes a large part of political and economic communication. Scholars have theorized that charismatic signaling is effective in informal leadership settings; yet empirical evidence remains scarce in understanding a ubiquitous phenomenon that marks our times and plays an important role in shaping public opinion. In this paper, we used two unique data sets extracted from social media to investigate the success of charismatic signaling in informal leadership settings. Social media offers us a standardized medium as well as a natural environment to test our predictions. Using a sample of TED talks and tweets, we coded for objective markers of charisma and found that using more verbal charismatic signals predicted (a) higher views for TED talks as well as higher ratings for the extent to which the talk was found to be inspiring (beyond attractiveness and nonverbal behavior), and (b) more retweets. We discuss the implications of such results for both theory and practice in the media age.
DOI: 10.17632/zyzt62gbrw
title: Multi-omics and Machine Learning Analysis of Human Plasma to Identify Biomarkers in Patients with Post-COVID Condition

description: this data was used to generate the results presented in the articles Sequential multi-omics analysis identifies clinical phenotypes and predictive biomarkers for long COVID in Cell Reports Medicine and Multi-omics and Machine Learning Analysis of Human Plasma to Identify Biomarkers in Patients with Post-COVID Condition in STAR protocol. (https://doi.org/10.1016/j.xcrm.2023.101254)
These analyses aim to identify correlations between biomarkers and clinical variables, cluster patients based on their multi-omics profile, and find predictive biomarkers in patients infected by SARS-CoV-2, which is applicable to biomarker studies performed in various diseases.
DOI: 10.17632/3zgsd5khvs
title: Dataset of traffic accidents involving animals on São Paulo state highways

description: These data show a survey of the highway military police reports concerning traffic accidents involving animals on highways of São Paulo state, Brazil, during 2010 to 2018 period. These data are a valuable tool to the scientific community better understand the annual number and severity of traffic accidents that occur due the presence of animals on the highways in São Paulo state; in addition to propose alternatives that can reduce these numbers.
DOI: 10.17632/7mj555m5vr
title: Preliminary summary and reclassification of cases from the Pediatric Research of Management in Stevens-Johnson syndrome and Epidermonecrolysis (PROMISE) study: a North American, multi-site retrospective cohort

description: Supplementary Table 1. New revised criteria compared to 1993 SCAR criteria and 2015 MIRM criteria
DOI: 10.17632/jfj65rxgcy
title: bin picking dataset

description: A bin picking dataset for 3D multi-instance recognition.
DOI: 10.17632/cb3dpg6rj8
title: Tracing the footprints of Arctic pollution: Spatial variations in toxic and essential elements in Svalbard reindeer (Rangifer tarandus platyrhynchus) faeces

description: Using HR-ICP-MS, we obtained the concentration of 55 elements in Svalbard reindeer (Rangifer tarandus platyrhynchus) faeces (n=96) and soil (n=9) from two locations on Nordenskiöld land, Svalbard. The main aim was to compare the elemental composition and concentrations in faeces from the two reindeer populations to investigate whether Svalbard reindeer were exposed to toxic elements and to evaluate whether reindeer inhabiting pristine areas have a different faecal elemental composition as compared to reindeer living in areas more influenced by anthropogenic activities. Soil samples were analysed to study the geochemical background differences between the two sites. 

All faecal (freeze-dried) and soil (air-dried) samples were digested in nitric acid using a high-pressure microwave system prior to ICP-MS analysis. The reported data is provided in dry weight. Along with the faecal elemental composition data, we provide information on the sampling coordinates, the distance to the nearest shoreline, the year of sampling, the gender of the sampled individual and the estimated age of the sampled individual. Along with the soil elemental composition data, we provide the sampling coordinates, year of sampling and which soil horizon was sampled (in this case, all of the soil samples were topsoil samples (upper 10 cm layer). 

There were significant differences in several elemental concentrations between the two sites. Elements of geogenic origin (e.g., Al, Cu and Fe) were found at higher levels in faeces from Adventdalen. In comparison, levels of Ca, Se and the toxic elements Cd and Pb were higher in faecal samples from the Nordenskiöld coast. The significantly higher levels of faecal Cd and Pb at Nordenskiöld coast may be due to marine input, dietary differences between the populations, or possible anthropogenic influence from the nearby settlement of Barentsburg (located 15 km away). There was, however, a decoupling in elemental composition between faecal and soil samples, meaning that we did not find the same trends between the sites in the two matrices. This could derive from a selective plant uptake of elements from the surrounding soil.
DOI: 10.17632/h8n474wvf5
title: Code O-SUKI-N 3D: Upgraded direct-drive fuel target 3D implosion code in heavy ion inertial fusion

description: The Code O-SUKI-N 3D is an upgraded version of the 2D Code O-SUKI (Sato et al., 2019 [1]). Code O-SUKI-N 3D is an integrated 3-dimensional (3D) simulation program system for fuel implosion, ignition and burning of a direct-drive nuclear-fusion pellet in heavy ion beam (HIB) inertial confinement fusion (HIF). The Code O-SUKI-N 3D consists of the three programs of Lagrangian fluid implosion program, data conversion program, and Euler fluid implosion, ignition and burning program. The Code O-SUKI-N 3D can also couple with the HIB illumination and energy deposition program of OK3 (Ogoyski et al., 2010 [8]). The spherical target implosion 3D behavior is computed by the 3D Lagrangian fluid code until the time just before the void closure of the fuel implosion. After that, all the data by the Lagrangian implosion code are converted to the data for the 3D Eulerian code. In the 3D Euler code, the DT fuel compression at the stagnation, ignition and burning are computed. The Code O-SUKI-N 3D simulation system provides a capability to compute and to study the HIF target implosion dynamics.
DOI: 10.17632/hg5gcdrx86
title: The Monte Carlo code nucrin to simulate inelastic hadron-nucleus interactions at laboratory energies below 5 GeV

description: Title of program: NUCRIN Catalogue Id: AADO_v1_0 Nature of problem The inelastic interaction of a high energy hadron with a nucleus is simulated. The model uses the parameterized emission of cascade nucleons from the nucleus and one inelastic hadron-nucleon collision. The nucleon Fermi-momentum inside the nucleus is taken into account. Stopping of negative mesons inside the nucleus is possible. The model samples events, which conserve the energy and the additive quantum numbers. Versions of this program held in the CPC repository in Mendeley Data AADO_v1_0; NUCRIN; 10.1016/0010-4655(86)90163-3 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/j8t662cxgs
title: Supplementary Material: Raw data for Scenario 1

description: The dataset contains the Pareto fronts obtained by the thirty-two combinations of five key parameters within NSGA-II, which was applied to the least-cost design of the Hanoi network. For each combination of key parameters, fifty independent runs were conducted to take the randomness of the initial population into account.
DOI: 10.17632/z2kwnr6wr2
title: H5P Technology Dataset: Student Engagement, Performance, and Behavioral Intention at a Sino‑British Joint‑Venture International University

description: This research investigated the relationships among university students' behavioral intention to use H5P technology, their learning engagement, and their performance in an online learning environment through the testing of seven hypotheses. H1: Performance Expectancy (PE) has a positive effect on their Behavioral Intention (BI) to use H5P. H2: Effort Expectancy (EE) has a positive effect on their Behavioral Intention (BI) to use H5P. H3: Social Influence (SI) has a positive effect on their Behavioral Intention (BI) to use H5P. H4: Facilitating Conditions (FC) have a positive effect on their Behavioral Intention (BI) to use H5P. H5: Behavioral Intention (BI) has a positive impact on Learning Engagement (LE). H6: Behavioral Intention (BI) has a positive impact on Learning Performance (LP). H7: Learning Engagement (LE) has a positive impact on Learning Performance (LP). The analysis was conducted using PLS-SEM via SmartPLS software. Results indicate that H3, H4, H5, H6, and H7 are supported, while H1 and H2 are rejected. The data was collected from both undergraduate and postgraduate students who have used H5P technology in their online learning at a Sino-British joint venture international university in China. The dataset includes two Excel files: one named "Scale," which details the questions and descriptions of the integrated scale; and another named "H5P Dataset," containing participants' self-reported responses. Further details about the conceptual model and findings are available in the research paper.
DOI: 10.17632/2c6w6nwvrg
title: Data for: Optimizing solar access for energy efficiency in high-rise residential buildings in dense urban tropics

description: Simulation results of high-rise residential buildings of 11,21 and 31 floors in a dense urban tropical climate