cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4048312
title: The COUGHVID crowdsourcing dataset: A corpus for the study of large-scale cough analysis algorithms

description: Cough audio signal classification has been successfully used to diagnose a variety of respiratory conditions, and there has been significant interest in leveraging Machine Learning (ML) to provide widespread COVID-19 screening. The COUGHVID dataset provides over 20,000 crowdsourced cough recordings representing a wide range of subject ages, genders, geographic locations, and COVID-19 statuses. Furthermore, experienced pulmonologists labeled more than 2,000 recordings to diagnose medical abnormalities present in the coughs, thereby contributing one of the largest expert-labeled cough datasets in existence that can be used for a plethora of cough audio classification tasks. As a result, the COUGHVID dataset contributes a wealth of cough recordings for training ML models to address the world’s most urgent health crises.
description: For more information about the data collection, pre-processing, validation, and data structure, please refer to the following publication: https://arxiv.org/abs/2009.11644 The cough pre-processing and feature extraction code is available from the following c4science repository: https://c4science.ch/diffusion/10770/
DOI: 10.6084/m9.figshare.12738728.v1
title: Dissemination strategies 1.X

description: Preliminary dissemination strategies used to collect data by country, including information on data collection period.
DOI: 10.18462/iir.rankine.2020.1185
title: Theoretical model construction for renewable low-grade thermal energy conversion: an insight from finite-time thermodynamics.
DOI: 10.5281/zenodo.4467528
title: Time-Plan Optimization with Genetic Algorithm for Regain of Energy from Train Tracks

description: Dataset using for Time-Plan Optimization with Genetic Algorithm for Regain of Energy from Train Tracks
DOI: 10.6084/m9.figshare.14315606.v1
title: R code for publication on substance use during first COVID

description: ## Project: Alcohol and COVID-19 in Europe<br>## Title: Use of alcohol, tobacco, cannabis, and other substances during the first wave of the SARS-CoV-2 pandemic in Europe: A survey on 36,000 European substance users<br>## Author: Jakob Manthey & Sinclair Carr<br><br>Analysing survey data to describe changes in substance use during the first wave of the COVID-19 pandemic.
DOI: 10.6084/m9.figshare.14397986.v1
title: Summary of 5hmdC amd dC in human normal cerebulla (n=5) and huamn MBs (n=24)

description: UHPLC-MS/MS quantification data: 5hmdC amd dC in human normal cerebulla (n=5) and huamn MBs (n=24)<br>
DOI: 10.17632/6bzzdfwbf9.1
title: Representation of COLOR concept in the French phraseological picture of the world and its perception by Ukrainian Francophone students

description: The purpose of the research was to present the typical features and individual differences of verbal perception and understanding of COLOR concept by French-speaking Ukrainian students. To realize the goal, we set the task to identify the ethno-cultural specificity of the representation of COLOR concept in the French phraseological picture of the world and analyze the peculiarities of verbal perception of the connotative content of achromatic and polychromatic colors in the composition of phraseological units by students-francophones.
Research methods and techniques. the semantic-cognitive method, the psycholinguistic approach (free associative experiment), the technique of frequency-statistical characteristics, the method of component analysis, the linguacultural analysis, the system analysis and the research synthesis.
Results. Color is a specific mental symbol that is verbalized and conveys a certain psychoemotional state of an individual. The coloratives which are directly related to the visual perception of the world constitute a psychoemotional component of the conceptual and linguistic picture of the world. The COLOR concept is actualized by emosems. Among the coloratives of phraseological nominations achromic (white and black) as well as polychrome (blue) are most represented in the psychological consciousness of the French language. Polychrome and achromic colors are correlated with certain emotions, character traits, psychophysical state. It has been established that the French cultural tradition is characterized by bioarchetypic correspondences between individual colors and certain symbolic meanings. A certain psychoemotional state corresponds to a certain color. Thoughts, feelings and associative states of a person are presented in the form of a color palette.
Conclusions. The obtained results indicate that to a large extent the association «color - psychoemotional state» in the French phraseological picture of the world coincides with the ideas of Ukrainian students about psychoemotional states expressed by the French phraseologisms. The phraseological fond with color components shows a powerful semantic and cognitive potential, the study of which deserves great attention from linguists, psychologists and psycholinguists on the way to a comprehensive study of human speech activity.
Key words: psycholinguistics, phraseological picture of the world, COLOR concept, polychrome/achromic color, colorative, emosema, association, Francophonie students.
DOI: 10.17632/89j8kmyjd3.1
title: Specificity of Internet texts  understanding in youth age

description: Specificity of Internet texts  understanding in youth age
DOI: 10.17632/9srsccgkz4.1
title: Психолінгвістична структура стигмальних висловлювань про осіб з інвалідністю внаслідок інтелектуальних порушень

description: Мета дослідження – теоретично проаналізувати та емпірично дослідити специфіку стигмальних висловлювань суб’єктів з інтелектуальною нормою щодо соціальної спільноти людей з інвалідністю внаслідок інтелектуальних порушень.

Для досягнення цілей  поставлено такі завдання:
1) проаналізувати особливості асоціативного поля концепту «особи з ІВІП»;
2) виявити психосемантичну структуру стигмальних висловлювань про людей з ІВІП у буденній свідомості інтелектуально збережених суб’єктів.

Методологія емпіричного дослідження: збір первинних даних відбувався за допомогою онлайн інструменту «Google-форми», відповідно до інструкції, яка є стандартною для подібних досліджень. Респондентам було запропоновано в писемній формі відреагувати будь-якими асоціаціями, які виникли у них при згадуванні соціальної групи людей з ІВІП. В інструкції було використано три різні групи термінів для позначення людей з ІВІП: власне, «люди з інвалідністю внаслідок інтелектуальних порушень», термінологію, що використовується в МКХ-10 – «люди з розумовою відсталістю» та термінологію, що на сьогодні є вже застарілою – олігофренія, дебільність, імбецильність, ідіотія. 
Для впорядкування отриманих реакцій (169 асоціацій) використано метод семантичних гнізд (Лозова, 2011) – різновид методу семантичного гештальту. Як показав аналіз, різні асоціації склали дев’ять диференційованих за семантикою груп: статусні, процесуально-атрибутивні, субстантивно-метафоричні, ілюзорно-міфологічні, генезисні, рекреативні, захисно-терапевтичні, захисно-негативістські, рефлексивні. Семантично узагальнені асоціації було піддано генералізації. Всього отримано 61 семантичний конструкт. 
Генералізовані конструкти було запропоновано групі експертів з метою визначення найбільш, на їх думку, репрезентативних конструктів.  Експертам потрібно було обрати до 20-ти найбільш поширених конструктів- висловлювань про людей з ІВІП.

Методи та методики дослідження: метод вербального асоціативного експерименту та семантичний диференціал, що дозволяють встановити зв’язки між уявленнями цілої групи респондентів та екстраполювати їх на ширшу популяцію.

Вибірка: в основному дослідженні взяли участь 59 респондентів (8 чоловічої статі, 51 жіночої статі). Серед респондентів 22 у віці 17-20 років, 33 від 21-40, троє від 41-60-ти та один респондент старший за 61 рік.  74,6% респондентів мали досвід спілкування та взаємодії із людиною з ІП, 22% – ні, 55,9% респонденти мали досвід перегляду вистав за участі людей з інвалідністю внаслідок ІП, 42,4% – ні.
DOI: 10.17632/hgd8zdyf2c.1
title: Choyero ethnobiological knowledge survey.

description: In 2017 and 2018, seventy-one individuals (33 females and 38 males) from 40 ranches across three Choyero communities in the Sierra de la Giganta of Baja California Sur, Mexico were presented an ethnobiological knowledge assessment task. As a first step of the task, individuals took a vision acuity test using “tumbling E” eye charts presented on a laptop computer (see TumblingE_EyeChart.pptx), a robust and easy to use diagnostic tool that is practical for populations with innumerate or analphabetic participants (Messina et al. 2006). From this test we derived a visual acuity score [1,…11]. A higher score indicates better visual acuity. The ethnobiological knowledge assessment task presented a sequence of 137 slides on a laptop computer featuring images of 87 plants and 50 animals (see EthnobiologicalKnowledgeAssessmentTool.pptx). The order of items presented was varied among participants. Assessments of ethnobiological knowledge were conducted in Spanish in the privacy of individual homes and occurred as part of a larger set of household interviews regarding ranching demography and lifestyles. These household interviews additionally informed us of individuals’ educational achievement, their ranch affiliation, and community membership. For each of 137 plant and animal images presented in sequence, the researcher (ES) asked the participant whether they recognized the item in the image. If the participant answered affirmatively, the researcher asked the follow-up question about what the item is called. Responses were recorded and coded “correctly named” if matching locally appropriate culturally correct names used for species identification (see Macfarlan et al., 2020 http://dx.doi.org/10.17632/kjds8jztzv.1). Here we provide raw data generated by seventy-one participants (33 females and 38 male). We also include a codebook that explains data types and meanings and we provide the .pptx files for tumbling E eye charts and the ethnobiological knowledge assessment task used to generate the data in this survey.
DOI: 10.17632/kjds8jztzv.1
title: Choyero identified plants and animals.

description: Between 2014 and 2016 in a first wave of research among Choyero household, two authors (SJM & JJG) asked ranchers to free-list what plants and animals they associated with Giganta spring ecosystems. This free-list task initially identified a set of locally salient plants (161) and animals (124) – mostly associated with the wilderness or campo. To this set of 161 freelisted plants, we added fifteen additional plants pertaining to house gardens (jardin) and agricultural fields (huerta). Following the free-list task, the researchers linked emic plant and animal concepts to nomenclature of the Linnean classification system (i.e. Family genus and species) and to locally appropriate nomenclature used for species identification. This taxonomic identification work was accomplished with the assistance of a focus group of ranchers, botanical and faunal field guides and later botanical experts from the Red Butte Garden at the University of Utah.
DOI: 10.17632/xr5z6pwn8j.1
title: Second Language Testing :assessing the psychometric properties Causes of second language writing anxiety scale (SLCWAS)  using Rasch model analysis

description: Method , results , tables and  figures
DOI: 10.5285/ed0a7b70-5adc-4c1e-8d8a-0bb5ee659d18
title: Medium resolution vector polygons of the Antarctic coastline

description: Coastline for Antarctica created from various mapping and remote sensing sources, provided as polygons with 'land', 'ice shelf', 'ice tongue' or 'rumple' attribute. This dataset has been generalised from the high resolution vector polygons. Covering all land and ice shelves south of 60S. Suitable for topographic mapping and analysis. Data compiled, managed and distributed by the Mapping and Geographic Information Centre and the UK Polar Data Centre, British Antarctic Survey on behalf of the Scientific Committee on Antarctic Research.
description: Dataset compiled from a variety of Antarctic map and satellite image sources. The dataset was created using ArcGIS and QGIS GIS software programmes and has been checked for basic topography and geometry checks, but does not contain strict topology. Quality varies across the dataset and certain areas where high resolution source data were available are suitable for large scale maps whereas other areas are only suitable for smaller scales. Each polygon contains a 'surface' attribute with either 'land', 'ice shelf', 'ice tongue' or 'rumple'. Details of when and how each line was created can be found in the attributes of the high or medium resolution polyline coastline dataset. Data sources range in time from 1990s-2020 - individual lines contain exact source dates. This medium resolution version has been generalised from the high resolution version. All polygons inferior to 0.1km not intersecting anything else were deleted and the 'simplify' tool was used in ArcGIS with the 'point remove' algorithm and a smoothing tolerance of 50 m.
DOI: 10.5441/002/edbt.2016.67
title: Efficient regular path query evaluation using path indexes
DOI: 10.5281/zenodo.7229783
title: In-situ monitoring of the Seine River based on the MeSeine network

description: In Europe, the management of freshwater ecosystem is governed by the Water Framework Directive (2000/60/CE) and its transposing legislation in France (2006-1772 of December 2006). The good ecological status of water are evaluated using a combination of several indicators such as biological and physico-chemical parameters. The Seine River crosses several important urbanized areas of France, including the Parisian conurbation (9 millions inhabitants). To ensure the good ecological status of the Seine River, the Greater Paris Conurbation Sanitation Authority (SIAAP), has constructed and operated the MeSeine network since 1990. MeSeine constitutes a tool for evaluating the quality of the Seine river and its tributaries (Marne, Oise) in terms of physico-chemistry, bacteriology, micro-contamination and faunal diversity. The MeSeine network extends along 125 km of the Seine River (from Choisy to Méricourt) and over 13 km along the Marne River (frome Champigny to Alfortville). It is structured around tree pillars: Real time monitoring of the physico-chemical composition of the Seine river using in situ sensor, in particular dissolved oxygen and temperature sensors Sampling and laboratory analysis campaigns to monitor watercourses quality and comply with the quality standards as defined by the Water Framework Directive (good ecological and chemical parameters) Biota monitoring to appreciate the diversity of fish populations, macro-invertebrates and diatoms. The aim of this work is to provide dissolved oxygen and temperature data of the Seine, generated by the in-situ sensors of the MeSeine network, via the open platform Zenodo.
DOI: 10.5281/zenodo.7229782
title: In-situ monitoring of the Seine River based on the MeSeine network

description: In Europe, the management of freshwater ecosystem is governed by the Water Framework Directive (2000/60/CE) and its transposing legislation in France (2006-1772 of December 2006). The good ecological status of water are evaluated using a combination of several indicators such as biological and physico-chemical parameters. The Seine River crosses several important urbanized areas of France, including the Parisian conurbation (9 millions inhabitants). To ensure the good ecological status of the Seine River, the Greater Paris Conurbation Sanitation Authority (SIAAP), has constructed and operated the MeSeine network since 1990. MeSeine constitutes a tool for evaluating the quality of the Seine river and its tributaries (Marne, Oise) in terms of physico-chemistry, bacteriology, micro-contamination and faunal diversity. The MeSeine network extends along 125 km of the Seine River (from Choisy to Méricourt) and over 13 km along the Marne River (frome Champigny to Alfortville). It is structured around tree pillars: Real time monitoring of the physico-chemical composition of the Seine river using in situ sensor, in particular dissolved oxygen and temperature sensors Sampling and laboratory analysis campaigns to monitor watercourses quality and comply with the quality standards as defined by the Water Framework Directive (good ecological and chemical parameters) Biota monitoring to appreciate the diversity of fish populations, macro-invertebrates and diatoms. The aim of this work is to provide dissolved oxygen and temperature data of the Seine, generated by the in-situ sensors of the MeSeine network, via the open platform Zenodo.
DOI: 10.6084/m9.figshare.21780479
title: Data set for Metanalysis studies characteristics

description: Metanalysis included studies characteristics
DOI: 10.6084/m9.figshare.21780479.v1
title: Data set for Metanalysis studies characteristics

description: Metanalysis included studies characteristics
DOI: 10.5281/zenodo.7040316
title: Autonomy Is An Acquired Taste: Exploring Developer Preferences for GitHub Bots

description: Software bots are an important part of software development, and the rise of AI-based code tools will make them even more important. Software bots can do many tasks, and can exhibit a range of interaction behaviors in a project. But in order for the bot to be effective, it must be accepted by the developers and project community with which the bot interacts. The main purpose of this study is to enumerate some of these factors, and to explain what leads to perceived bad behavior in the context of a bot's autonomous actions and persona. We find developers prefer bots which are personable but show little autonomy. This dataset contains the replication package of the study. For Phase I, we shared the full and detailed interview guide, anonymized interview transcripts, and the result of the data analysis, i.e., codebook. For Phase II, the survey design and data. <br>
DOI: 10.5281/zenodo.7040317
title: Autonomy Is An Acquired Taste: Exploring Developer Preferences for GitHub Bots

description: Software bots are an important part of software development, and the rise of AI-based code tools will make them even more important. Software bots can do many tasks, and can exhibit a range of interaction behaviors in a project. But in order for the bot to be effective, it must be accepted by the developers and project community with which the bot interacts. The main purpose of this study is to enumerate some of these factors, and to explain what leads to perceived bad behavior in the context of a bot's autonomous actions and persona. We find developers prefer bots which are personable but show little autonomy. This dataset contains the replication package of the study. For Phase I, we shared the full and detailed interview guide, anonymized interview transcripts, and the result of the data analysis, i.e., codebook. For Phase II, the survey design and data. <br>
DOI: 10.5281/zenodo.7229793
title: Monitoring of the physico-chemical composition of the Seine River based on the MeSeine network

description: In Europe, the management of freshwater ecosystem is governed by the Water Framework Directive (2000/60/CE) and its transposing legislation in France (2006-1772 of December 2006). The good ecological status of water are evaluated using a combination of several indicators such as biological and physico-chemical parameters. The Seine River crosses several important urbanized areas of France, including the Parisian conurbation (9 millions inhabitants). To ensure the good ecological status of the Seine River, the Greater Paris Conurbation Sanitation Authority (SIAAP), has constructed and operated the MeSeine network since 1990. MeSeine constitutes a tool for evaluating the quality of the Seine river and its tributaries (Marne, Oise) in terms of physico-chemistry, bacteriology, micro-contamination and faunal diversity. The MeSeine network extends along 125 km of the Seine River (from Choisy to Méricourt) and over 13 km along the Marne River (frome Champigny to Alfortville). It is structured around tree pillars: Real time monitoring of the physico-chemical composition of the Seine river using in situ sensor, in particular dissolved oxygen and temperature sensors Sampling and laboratory analysis campaigns to monitor watercourses quality and comply with the quality standards as defined by the Water Framework Directive (good ecological and chemical parameters) Biota monitoring to appreciate the diversity of fish populations, macro-invertebrates and diatoms. The aim of this work is to provide data on the physico-chemical quality of the Seine generated by the MeSeine observatory via the open platform Zenodo.
DOI: 10.6084/m9.figshare.21780491
title: Data set SGLT 2i

description: characteristics of the studies included in metanalysis
DOI: 10.6084/m9.figshare.21780491.v1
title: Data set SGLT 2i

description: characteristics of the studies included in metanalysis
DOI: 10.5281/zenodo.7229792
title: Monitoring of the physico-chemical composition of the Seine River based on the MeSeine network

description: In Europe, the management of freshwater ecosystem is governed by the Water Framework Directive (2000/60/CE) and its transposing legislation in France (2006-1772 of December 2006). The good ecological status of water are evaluated using a combination of several indicators such as biological and physico-chemical parameters. The Seine River crosses several important urbanized areas of France, including the Parisian conurbation (9 millions inhabitants). To ensure the good ecological status of the Seine River, the Greater Paris Conurbation Sanitation Authority (SIAAP), has constructed and operated the MeSeine network since 1990. MeSeine constitutes a tool for evaluating the quality of the Seine river and its tributaries (Marne, Oise) in terms of physico-chemistry, bacteriology, micro-contamination and faunal diversity. The MeSeine network extends along 125 km of the Seine River (from Choisy to Méricourt) and over 13 km along the Marne River (frome Champigny to Alfortville). It is structured around tree pillars: Real time monitoring of the physico-chemical composition of the Seine river using in situ sensor, in particular dissolved oxygen and temperature sensors Sampling and laboratory analysis campaigns to monitor watercourses quality and comply with the quality standards as defined by the Water Framework Directive (good ecological and chemical parameters) Biota monitoring to appreciate the diversity of fish populations, macro-invertebrates and diatoms. The aim of this work is to provide data on the physico-chemical quality of the Seine generated by the MeSeine observatory via the open platform Zenodo.
DOI: 10.6084/m9.figshare.21780508
title: Robinson_et.al_procb_ESM_Tables S7-S11 from Macroevolution of protective coloration across caterpillars reflects relationships with host plants

description: Information related to construction of phylogenetic tree
DOI: 10.6084/m9.figshare.21780511
title: Robinson_et.al_procb_ESM_Table S12 from Macroevolution of protective coloration across caterpillars reflects relationships with host plants

description: Complete species list, including field guides used to record data for each
DOI: 10.6084/m9.figshare.21780511.v1
title: Robinson_et.al_procb_ESM_Table S12 from Macroevolution of protective coloration across caterpillars reflects relationships with host plants

description: Complete species list, including field guides used to record data for each
DOI: 10.34740/kaggle/dsv/4772863
title: Elon Musk Tweets