cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7515243
title: Etude UV-visible porphyrine

description: Cette étude porte sur l'analyse UV-Visible de 3 porphyrines dans différents solvants. Dans ces donnés sont comprises une analyse d'Absorption et d'émission en phase solide et en solution de la Protoporphyrine, la Tétraphénylporphyrine et la Chlorophyle.<br> <br> <br>
DOI: 10.5281/zenodo.7515242
title: Etude UV-visible porphyrine

description: Cette étude porte sur l'analyse UV-Visible de 3 porphyrines dans différents solvants. Dans ces donnés sont comprises une analyse d'Absorption et d'émission en phase solide et en solution de la Protoporphyrine, la Tétraphénylporphyrine et la Chlorophyle.<br> <br> <br>
DOI: 10.5281/zenodo.7515268
title: Jeu de données poster

description: Données du poster incluant les valeurs pour les tracés de nos spectres d'absorbance et de fluorescence
DOI: 10.5281/zenodo.7515267
title: Jeu de données poster

description: Données du poster incluant les valeurs pour les tracés de nos spectres d'absorbance et de fluorescence
DOI: 10.5281/zenodo.7515297
title: Dosage de la beta-cyclodextrine par complexation du bleu de méthylène - jeu de données

description: Data set of absorption and fluorescence of complexes of methylene blue and beta-cyclodextrines
DOI: 10.5281/zenodo.7515296
title: Dosage de la beta-cyclodextrine par complexation du bleu de méthylène - jeu de données

description: Data set of absorption and fluorescence of complexes of methylene blue and beta-cyclodextrines
DOI: 10.34740/kaggle/dsv/4828901
title: PyAFBF textures - set 001
DOI: 10.5281/zenodo.7515293
title: Colorants dans les encres Données

description: Colorants dans les encres de stylo
DOI: 10.5281/zenodo.7515292
title: Colorants dans les encres Données

description: Colorants dans les encres de stylo
DOI: 10.17632/42fsz64kn5.1
title: Representative ASC speck images for 'Mitochondrial damage activates the NLRP10 inflammasome'

description: A dataset containing representative images of ASC specks for the ASC speck quantifications in 'Mitochondrial damage activates the NLRP10 inflammasome'.
DOI: 10.17632/4ty475fmjy.1
title: Aestivation Motifs in Chronic Renal Failure

description: Aestivation Motifs in Chronic Renal Failure

Manuscript Title: Adaptive physiological water conservation explains hypertension and muscle catabolism in experimental chronic renal failure

Journal: Acta Physiologica
DOI: 10.5281/zenodo.7515295
title: Jeu de donnée pour le poster "Les couleurs des Stabilos"

description: Jeu de données pour le poster "Les couleurs des Stabilos" Données Text et courbes d'absorption, émission et excitation pour la gamme de Stabilos étudiée
DOI: 10.5281/zenodo.7515294
title: Jeu de donnée pour le poster "Les couleurs des Stabilos"

description: Jeu de données pour le poster "Les couleurs des Stabilos" Données Text et courbes d'absorption, émission et excitation pour la gamme de Stabilos étudiée
DOI: 10.17632/tfp83376g5.1
title: Kalisman et al., 2023, WRR

description: Average values of effective saturation, SE, and measured range for three experimental repeats of each treatment: continuous flux (CF) and pressure-pulse flux (PPF); at 0.25, 0.5, 1, and 2 bar boundary pressure.
For each set, the results are a spatial average of a 2 cm long section from 0-16 cm depth.
DOI: 10.34740/kaggle/dsv/4828926
title: PyAFBF textures - set 001
DOI: 10.17632/6v7h5xcmz7.1
title: Natural Language to Facilitate the Analysis of Statistical Evaluation of Educational Digital Games

description: The application of educational digital games (EDG) requires multiple perspectives for an optimal adaptation. This study shows how relevant feedback is presented in simple outcome reports of EDG-based learning for teachers and parents in Natural Language (NL). NL as a Machine Learning process also can represent quantitative data sets in consumable Spanish language statements. The objective is to improve outcomes of EDG platforms using a cloud-based dashboard used to evaluate student EDG application behavioral efficiency. A novel tool is proposed to provide simple language explanations rather than statistical representations of feedback to parents and teachers in marginal areas of developing economies. With fuzzy logic, the researchers present verbatim explanations of student behavior towards educational EDG. Results reveal comprehensive, simple, or colloquial Spanish language information for parents and teachers to provide improved evaluation keys to enhance student learning via EDG related to the school curricula.
DOI: 10.17632/f994nhdctk.1
title: Data and analyses 

description: When grasping an object, grip aperture and grip force are scaled to the visually predicted size and mass of the object even before touching and lifting it. Size-weight expectations are not only involved in action tasks but also play a central role in perceptual judgments, which when not met can lead to illusions such as the size-weight illusion. We here find that early visual deprivation, even if followed by years of visual experience and interaction with real world objects, highly impairs the natural control of grasping although the size-weight illusion does develop rapidly after sight restoration.
DOI: 10.17632/f994nhdctk.2
title: Data and analyses 

description: When grasping an object, grip aperture and grip force are scaled to the visually predicted size and mass of the object even before touching and lifting it. Size-weight expectations are not only involved in action tasks but also play a central role in perceptual judgments, which when not met can lead to illusions such as the size-weight illusion. We here find that early visual deprivation, even if followed by years of visual experience and interaction with real world objects, highly impairs the natural control of grasping although the size-weight illusion does develop rapidly after sight restoration.
DOI: 10.15129/87314ddb-4ec9-4db9-87d7-49da8318122a
title: Interview Questions: Challenges encountered by older people in the use of digital financial services

description: Interview questions for older people whose first language is English and employees who aid them with digital financial services.
DOI: 10.17632/p28ncjnvgk.1
title: Stair dataset with depth maps

description:     We provide a stair dataset with depth maps and fine annotations for stair detection research.
    The  training set contains 2388 RGB maps and 2388 corresponding depth maps, and the validation set contains 608 RGB maps and 608 corresponding depth maps. Each label contains the classification(convex/concave) and the location of the two endpoints of each stair line. All the images are padded and resized to 512 × 512 to simplify the data loading process. All the images in the dataset are taken in the actual scenes. In detail, we use the RealSense Depth Camera D435i to collect images from actual scenes at Beihang University and some public gardens.
    The annotation form of the dataset is as follows:
    cls x1 y1 x2 y2/n
    ...
    Each stair line is represented by the above five-tuple data, where cls represents the class of the stair line, 0 represents a convex line and 1 represents a concave line. X1 and y1 represent the coordinates of the left endpoint of the stair line, and x2 and y2 represent the coordinates of the right endpoint of the stair line. The label is stored in a text file and associated with the RGB map and depth map through the file name.
    This dataset can be used for the development of stair perception in intelligent autonomous system, such as humanoid robots, rescue robots and exoskeleton robots.
DOI: 10.17632/p28ncjnvgk.2
title: Stair dataset with depth maps

description:     We provide a stair dataset with depth maps and fine annotations for stair detection research.
    The  training set contains 2388 RGB maps and 2388 corresponding depth maps, and the validation set contains 608 RGB maps and 608 corresponding depth maps. Each label contains the classification(convex/concave) and the location of the two endpoints of each stair line. All the images are padded and resized to 512 × 512 to simplify the data loading process. All the images in the dataset are taken in the actual scenes. In detail, we use the RealSense Depth Camera D435i to collect images from actual scenes at Beihang University and some public gardens.
    The annotation form of the dataset is as follows:
    cls x1 y1 x2 y2/n
    ...
    Each stair line is represented by the above five-tuple data, where cls represents the class of the stair line, 0 represents a convex line and 1 represents a concave line. X1 and y1 represent the coordinates of the left endpoint of the stair line, and x2 and y2 represent the coordinates of the right endpoint of the stair line. The label is stored in a text file and associated with the RGB map and depth map through the file name.
    This dataset can be used for the development of stair perception in intelligent autonomous system, such as humanoid robots, rescue robots and exoskeleton robots.
DOI: 10.17909/wr3t-g747
title: CEERS NIRSpec MSA R~1000
DOI: 10.17632/cwjj98mm3g.1
title: Refined metric interpretation in natural language for educational videogames using fuzzy logic

description: With digital gaming's increasing popularity, Educational Digital Games (EDG) are being more commonly used to complement children's early education. Controlled EDG provides educators a way to observe progress. Many existing applications fail to generate automatic data collection to provide reliable information for feedback on academic aspects needed. This paper describes the usefulness of MIDI-AM, a series of EDG, to link a dashboard, including informative outcomes about use and Playability. It explains how rules of fuzzy logic and Natural Language (NL) can provide consumable feedback. The research objective provides a new component in a longitudinal study to identify a more efficient process for developing and implementing a module to refine the dashboard metrics and outcomes of MIDI-AM EDG. The initial platform was redundant and created inconsistent results. Using Artificial Intelligence (AI) generates valuable information to refine the process of generating feedback reports using detailed data interpretations in NL.
DOI: 10.17632/vpfkpp42bh.1
title: Tolerance to allelopathic inhibition by free fatty acids in five biofuel candidate microalgae strains

description: Data accompanying the manuscript "Tolerance to allelopathic inhibition by free fatty acids in five biofuel candidate microalgae strains" (https://doi.org/10.1016/j.biteb.2022.101321).

This includes 3 data files and a README to explain variables in the 3 files. It also contains a .Rmd file with the R code used for all analyses in the manuscript.

Abstract:
Contaminating organisms (grazers, pathogens, competitors) and self-inhibition by algae-produced allelopathic chemicals are two issues that may limit the productivity of algal cultivation for bioproducts. One potential solution is to identify algal strains that are not affected by allelopathic inhibition even while undesirable organisms are suppressed. Here we used two experiments to test how sensitivity to allelopathy varies across algae. In the first experiment, we tested the sensitivity of five biofuel candidate green algae strains to two allelopathic compounds (i.e., free fatty acids) and found that the degree of inhibition depends strongly on both the species and specific compound. In the second experiment, we exposed one alga (Chlorella) to the sterile-filtered medium of each species, and found that the concentration of free fatty acids released into the media predicted Chlorella's growth response. This provides a better understanding of how the production of, and sensitivity to, allelopathic compounds determines algal productivity.
DOI: 10.17632/3jjdm6rn96.1
title: Stair dataset

description:         We provide a stair dataset with fine annotations for stair detection research.
        The training set contains 2670 images, and the validation set contains 424 images. Each label contains the locations of the two endpoints and the classification (convex/concave) of each stair line. These images are padded and resized to 512x512 to simplify the data loading process.
        The main sources of our dataset are as follows:
        First, we relabel the dataset of reference [1] and add it to our dataset. Then, we use a camera to collect stair images from actual scenes at Beihang University, as well as a few stair images from the Great Wall. Finally, we download some stair images from the internet.
        The annotation form of the dataset is as follows:
        cls x1 y1 x2 y2/n
         ...
        Each stair line is represented by the above five-tuple data, where cls represents the class of the stair line, 0 represents a convex line and 1 represents a concave line. X1 and y1 represent the coordinates of the left endpoint of the stair line, and x2 and y2 represent the coordinates of the right endpoint of the stair line. The label of an image is stored in a text file and associated by the file name.

[1]Patil, U., Gujarathi, A., Kulkarni, A., Jain, A., Malke, L., Tekade, R., Paigwar, K., Chaturvedi, P.: Deep learning based stair detection and statistical image filtering for autonomous stair climbing. In: 2019 Third IEEE International Conference on Robotic Computing (IRC), pp. 159–166 (2019). https://doi.org/10.1109/IRC.2019.00031
DOI: 10.17632/3jjdm6rn96.2
title: Stair dataset

description:         We provide a stair dataset with fine annotations for stair detection research.
        The training set contains 2670 images, and the validation set contains 424 images. Each label contains the locations of the two endpoints and the classification (convex/concave) of each stair line. These images are padded and resized to 512x512 to simplify the data loading process.
        The main sources of our dataset are as follows:
        First, we relabel the dataset of reference [1] and add it to our dataset. Then, we use a camera to collect stair images from actual scenes at Beihang University, as well as a few stair images from the Great Wall. Finally, we get some stair images from the internet.
        The annotation form of the dataset is as follows:
        cls x1 y1 x2 y2/n
         ...
        Each stair line is represented by the above five-tuple data, where cls represents the class of the stair line, 0 represents a convex line and 1 represents a concave line. X1 and y1 represent the coordinates of the left endpoint of the stair line, and x2 and y2 represent the coordinates of the right endpoint of the stair line. The label of an image is stored in a text file and associated by the file name.
        In addition,  to objectively evaluate the model on the dataset, we divide the data into daytime data, night data and art data according to their collection conditions, and the detection difficulty also increases in sequence. The list of daytime, night and art datasets are provided in the following files: 'train_daytime.txt', 'train_night.txt', 'train_art.txt', 'val_daytime.txt', 'val_night.txt' and 'val_art.txt'.  
[1]Patil, U., Gujarathi, A., Kulkarni, A., Jain, A., Malke, L., Tekade, R., Paigwar, K., Chaturvedi, P.: Deep learning based stair detection and statistical image filtering for autonomous stair climbing. In: 2019 Third IEEE International Conference on Robotic Computing (IRC), pp. 159–166 (2019). https://doi.org/10.1109/IRC.2019.00031
DOI: 10.17632/5xbwbp6bdd.1
title: Supplemental Material- Prevalence of allergic contact dermatitis following patch testing in patients with atopic dermatitis: a retrospective United States claims-based study 

description: Supplemental material for Qian et al. 2023, JAAD. Data were derived from Clinformatics Data Mart (2016 to 2020), a de-identified nationwide claims database accessed through the Stanford PHS Data Core. For further details, see manuscript entitled "Prevalence of allergic contact dermatitis following patch testing in patients with atopic dermatitis: a retrospective United States claims-based study."
DOI: 10.17632/ydzg8f2grz.1
title: Visual Metrics for Educational Videogames Linked to Socially Assistive Robots in an Inclusive Education Framework

description: In gamification, the development of “visual metrics for educational video games linked to social assistance robots in the framework of inclusive education” seeks to provide support, not only to regular children but also to children with specific psychosocial disabilities, such as those diagnosed with autism spectrum disorder (ASD). However, personalizing each child’s experiences represents a limitation, especially for those with atypical behaviors. “LOLY,” a social assistance robot, works together with mobile applications associated with the family of educational video game series called “MIDI-AM,” forming a social robotic platform. This platform offers the user curricular digital content to reinforce the teaching–learning processes and motivate regular children and those with ASD. In the present study, technical, programmatic experiments and focus groups were carried out, using open-source facial recognition algorithms to monitor and evaluate the degree of user attention throughout the interaction. The objective is to evaluate the management of a social robot linked to educational video games through established metrics, which allow monitoring the user’s facial expressions during its use and define a scenario that ensures consistency in the results for its applicability in therapies and reinforcement in the teaching process, mainly adaptable for inclusive early childhood education.
DOI: 10.17632/tgmy4yz2yd.1
title: Adverse effects of hydroxychloroquine use in patients with cicatricial alopecia: A systematic review

description: Hydroxychloroquine (HCQ) is an immunomodulator that is widely used for dermatologic conditions such as lupus erythematosus, dermatomyositis, and cicatricial alopecia (CA). The most common adverse events (AE) include gastrointestinal discomfort, headaches, dizziness, and rash. Serious AE like arrhythmias and irreversible retinopathy are rare but have been reported in the literature. The aim of this review is to characterize the incidence and characteristics of AEs in CA patients taking HCQ. Below are the references used in this review.
DOI: 10.17632/3wtb2zkk9z.1
title: Mendeley Supplemental Table 1. Frequency of subclinical spread by anatomic site*

description: Mendeley Supplemental Table 1. Frequency of subclinical spread by anatomic site*
DOI: 10.17632/gk2ddvwvyc.1
title: Facultative polyandry protects females from compromised male fertility caused by heatwave conditions

description: Females are able to recover fertility through polyandry when male fertility is compromised by heatwaves. Facultative polyandry enables females to recover from losses to fitness which can have consequences both at the individual level as well as at the population level. Across the animal kingdom females of many species mate multiply and the costs of mating multiply can be mitigated by polyandry. Under global climate change heatwaves are getting more intense and persistent with male-specific sterily becoming commonplace in many species (especially ectotherms). Here we show how polyandry could be a key proximate mechanism in improving female fitness between mating episodes.
DOI: 10.17632/gp9vfvs76n.1
title: Supplemental Data Content to 'A nationwide analysis of gallbladder surgery in England between 2000 and 2019'

description: This is the supplementary material for the paper titled “A nationwide analysis of gallbladder surgery in England between 2000 and 2019”. We aimed to generate a reliable report on four gallbladder surgeries – cholecystolithotomy, cholecystostomy, subtotal cholecystectomy and total cholecystectomy – in England to allow cross-procedure comparisons and highlight changes in the management of benign gallbladder disease over time. It adheres to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement and checklist. This analysis provides valuable insights into gallbladder surgery in England and highlights a significant shift towards the increased utilization of subtotal cholecystectomy and cholecystostomy in England between 2000 and 2019. 

This supplement for the Mendeley repository provides further details to reproduce the study results. It is organized into sections that follow the structure of the article. It contains a synopsis of the study and explains our research in context. It provides the key messages, 16 tables (including the STROBE checklist) and ten figures. Additional data on the studies from individual English institutions that reported high subtotal cholecystectomies rates are also shown.
DOI: 10.17632/ktngcmv6gk.1
title: Inapparent infections shape the transmission heterogeneity of dengue

description: Transmission heterogeneity, whereby a disproportionate fraction of pathogen transmission events result from a small number of individuals or geographic locations, is an inherent property of many, if not most, infectious disease systems. For vector-borne diseases, transmission heterogeneity is commonly inferred from the distribution of the number of vectors per host, which could lead to significant bias in situations where vector abundance and transmission risk at the household level do not correlate, as is the case with dengue virus (DENV). We used data from a contact tracing study to quantify the distribution of DENV acute infections within human activity spaces (AS), the collection of residential locations an individual routinely visits, and quantified measures of virus transmission heterogeneity from two consecutive dengue outbreaks (DENV-4 and DENV-2) that occurred in the Amazon city of Iquitos, Peru. Negative binomial distributions and Pareto fractions showed evidence of strong overdispersion in the number of DENV infections by AS and identified super-spreading units (SSUs): i.e., the AS where most infections occurred. Approximately 8% of AS were identified as SSUs, contributing to more than 50% of DENV infections. SSU occurrence was associated more with DENV-2 infection than with DENV-4, a predominance of inapparent infections (74% of all infections), households with high Aedes aegypti mosquito abundance, and high host susceptibility to the circulating DENV serotype. Marked heterogeneity in dengue case distribution, and the role of inapparent infections in defining it, highlight major challenges faced by reactive interventions if those transmission units contributing the most to transmission are not identified, prioritized, and effectively treated.      

Files uploaded:
1)Dataset . Information aggregated at the activity space level with all data used in the manuscript. 
2)Dispersion analysis script:.R code for estimating ZAS and fitting it to negative binomial and Poisson distributions
3) ParetoSummary.R function to estimate pareto fraction and plot
4) Pareto.R code to generate figures in manuscript using ParetoSummary.R
5) GAMM.R code to recreate all models run to estimate association between SSU and selected variables (mosquitoes and susceptibility)
DOI: 10.17632/6bx2p5zz84.1
title: new supplementary materials:Key genes and regulatory networks of hypoxic preconditioning on osteoblasts

description: new supplementary materials:Key genes and regulatory networks of hypoxic preconditioning on osteoblasts
DOI: 10.17632/prp9jv76zp.1
title: Arms Race in South Asia and Finding a Peace Equilibrium

description: Nations’ defence expenditure, import of defence goods, G.D.P., and exchange rate data are published by different sources, including Macrotrends.net, Stockholm International Peace Research Institute (SIPRI), and Arms Control and Disarmament Agency (ACDA).