cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/j9z7hhvxsy.1
title: Social discounting and horizontal and vertical individualism and collectivism (HVIC)

description: This dataset contains information for a group of 133 students from the University of the Free State in South Africa. The subjects completed the standard Social Discounting Task (SDT) and the 14-item version of the IND-COL scale. Altruism is measured using the amount given in the SDT as well as the social discounting rate (k'). The first outcome is measured at task-level and the latter outcome at subject-level. The general hypotheses here are that individuals exhibiting individualistic traits are less altruistic, while individuals who are more collectivist are more altruistic, with the specific hypotheses spelt out in more detail in the publication accompanying this dataset.
DOI: 10.17632/vnnzc7n97m.1
title: Dataset: Deep learning the sound of boiling for advance prediction of boiling crisis

description: This dataset contains the raw audio files and the MATLAB codes for classification of the various boiling regimes including the advance prediction of the critical heat flux.
DOI: 10.17632/t44jhwfdj5.1
title: Effects of Vitamin B12 Supplementation on Cognitive Function, Depressive Symptoms, and Fatigue: A Systematic Review, Meta-Analysis, and Meta-Regression

description: The aim of this systematic review and meta-analysis of RCTs was to assess the effects of vitamin B12 supplementation—alone and in combination with folic acid—on cognitive function, depressive symptoms, and idiopathic fatigue, in patients without advanced neurological disorders. Data extracted from RCTs investigating the therapeutic effects of vitamin B12 alone (B12 alone) and vitamin B12 in addition to vita-min B9 (folic acid) with or without vitamin B6 (B complex) on measures of cognitive func-tion, depressive symptoms, and fatigue in patients with or without mild cognitive im-pairment (MCI)
DOI: 10.17632/nsr333t977.1
title: Data for "Preprint abstracts in times of crisis: a comparative study with the pre-pandemic period"

description: The urgency to respond to the COVID-19 outbreak has driven an unprecedented surge in preprints that aim to speed up knowledge dissemination as they are available much sooner than peer-reviewed publications. In this study we consider abstracts of research articles and preprints as main entry points drawing attention to the most important information of the document and trying to make us read the whole article. In this paper, we try to capture and examine shifts in scientific abstract writing produced at the very beginning of the pandemic. We made a comparative study of abstracts in terms of their informativeness associated with preprints issued in response to the COVID-19 pandemic and those produced in 2019, the closest pre-pandemic period. Our results clearly differ from one preprint server to another and show that there are community-centred habits of writing and reporting results. The preprints issued from the arXiv, ChemRxiv and Research Square servers tend to have more informative (generous) abstracts than the ones submitted to the other servers. In four servers, the ratio of structured abstracts decreases with the pandemic.
DOI: 10.17632/rn9b93x5d4.1
title: A corpus designed to study preprints produced during the Covid-19 crisis and to make comparative studies with the pre-pandemic period

description: This dataset has been created to allow comparative studies of abstracts associated with preprints issued in response to the COVID-19 pandemic (from 01/01/2020 to 12/04/2020) relative to abstracts produced in 2019, the closest pre-pandemic period. The dataset has 2 files: - a txt file with the queries we ran in Dimensions and Lens to create the whole corpus and retrieve metadata - a csv file with the metadata for all preprints in the corpus and the positive, negative and hedge words we extracted with CorTexT Manager tool.
DOI: 10.17632/z335r3hkf6.1
title: Electricity Prices In Australia 1953-2020

description: Data associated with submitted paper to Economic Analysis and Policy 'Australian Electricity Prices 1953-2020'
DOI: 10.17632/9s8x4xpnt8.1
title: Sorption and fluorescence data

description: Sorption and fluorescence data
DOI: 10.17632/yhv4rsr426.1
title: Supplementary Material for the Data In Brief Article entitled: MinION 16S datasets of a commercially available microbial community enables the evaluation of DNA extractions and data analyses

description: MinION 16S datasets of a commercially available microbial community enables the evaluation of DNA extractions and data analyses
DOI: 10.17632/h5sjfj5bn8.1
title: Review of ZIKV production with Brazilian researchers from 2015 to 2017

description: This document presents a massive review of ZIKV production with Brazilian researchers from 1945 to July 2017. It contains the year and month of release, companies and institutions implicated in these productions, such as Universities, Labs and Government Agencies.
DOI: 10.17632/y9kzksj47f.1
title: Sentinel-1 Synthetic Aperture Radar (SAR) characteristics on shoreline demarcation and shoreline change assessment along mandaikadu, south-west coast of India

description: Sentinel-1A is a dual-satellite sensor carrying C-band (λ=5.6cm), The images were acquired in dual-polarization modes; (i) VV (vertical transmit and vertical receive) polarization and (ii) VH (vertical transmit and horizontal receive) polarizations. The preprocessing of Level-II ground range detected (GRD) images from Sentinel-1 SAR was performed using the Sentinel application platform (SNAP) toolbox.
DOI: 10.17632/v6bkdn9sgs.1
title: TUBA1C R package

description: R package for bioinformatics analysis of TUBA1C gene in glioma
DOI: 10.17632/xdcrdjs48f.4
title: Dataset for attitude and education needs of emergency doctors in providing palliative and end-of-life care in Hong Kong: A cross-sectional analysis based on self-reported surveys.

description: This dataset was generated by the administration of a validated questionnaire. Permissions for using the context of the questionnaire and the overseas study had been obtained from the authors. For the content of the questionnaire, apart from the baseline characteristics of the participants (Part A, question 1-9), 2 main dimensions were assessed in the survey including their attitude in providing palliative and EOL care (Part B, question 10-24 (15 statements)), and their education needs (Part C, questions 25-35 (11 items). The participants were asked about their overall attitude in providing palliative and EOL care in their AED. The statements in Part B would be divided into 4 domains, including the role of palliative and EOL care (statements 1-3,6,7), specific obstacles (statements 4,8,9,11-14), the comfort level with palliative and EOL care (statements 5 and 10) and overall impression towards palliative and EOL care (statement 15). Scoring Method There were 5 Likert scale options for each questions in Part B and Part C of the questionnaire, which included strongly agree, agree, neutral, disagree and strongly disagree. Besides, the participants were invited to indicate on which topics they would like to have further education on palliative and EOL care. Method of questionnaire administration Hard copies of the questionnaire were distributed by the investigators through direct personal invitation. Participants returned the completed questionnaire to the investigators in the sealed envelope provided. No personal identifying data was collected.
DOI: 10.17632/5zrz4fmw5y.1
title: Dataset of the next-generation sequencing of variable 16S rRNA from bacteria and ITS2 regions from fungi and plants derived from honeybees kept under anthropogenic landscapes

description: We used next generation sequencing (NGS) to analyse the 16S rRNA bacterial gene amplicons based on the V3-V4 region and the ITS2 regions from fungi and plants derived from honeybee samples. Amplicon libraries, were prepared using the 16S Metagenomic Sequencing Library Preparation, Preparing 16S Ribosomal RNA Gene Amplicons for the Illumina MiSeq System (Illumina®) protocol. NGS raw data are available at https://www.ncbi.nlm.nih.gov/bioproject/PRJNA686953. The presented data can be used to compare the metagenomics samples from different honeybee population all over the world. Higher load of fungi, and bacteria groups as: Firmicutes (Lactobacillus); γ-proteobacteria, Neisseriaceae, and unassigned other bacteria was observed for Nosema cearana and neogregarines infected honeybees. Healthy honeybees had higher load of plant pollens, and bacteria groups as: γ-proteobacteria, Orbales, Gilliamella, Snodgrassella, γ-proteobacteria, Enterobacteriaceae. More details you can find in research article [1] Ptaszyńska et al. 2021. Datasets: Excel 1. In the excel file are the row original information form NGS of composition of bacteria from 16S_taxonomyReads from seasonal changes of Polish honeybee samples (collected from April to September). Excel 2. In the excel file are the row original information form NGS of composition of fungi and plant pollen from ITS_taxonomyReads from seasonal changes of Polish honeybee samples (collected from April to September). Excel 3. In the excel file are the row original information form NGS of composition of bacteria from 16S_taxonomyReads from UK, Greece, Spain and Thailand honeybee samples. Excel 4. In the excel file are the row original information form NGS of composition of bacteria from ITS_taxonomyReads from UK, Greece, Spain and Thailand honeybee samples. Dataset 5. Table 1A. One-way ANOVA report from the correlation between Polish honeybees’ health status and the bacteria detected on the base of 16S rDNA NGS analyses. Dataset 6. Table 1B. One-way ANOVA report from the correlation between Polish honeybees’ health status and fungi and plant pollens detected on the basis of ITS NGS analysis. Dataset 7. Table 2A. One-way ANOVA report from the correlation between UK, Spain, Greece and Thailand honeybees’ health status and the bacteria detected on the base of 16S rDNA NGS analyses. Dataset 8. Table 2B. One-way ANOVA report from the correlation between UK, Spain, Greece and Thailand honeybees’ health status and the detected fungi and plant pollens detected on the basis of ITS NGS analysis.
DOI: 10.17632/hxxpxf5ww9.1
title: QUALITY LEARNING COOPERATIVE LEARNING WITH PATTERN COLLABORATION TO IMPROVE THE CHARACTER

description: This study uses literature research. This study answers the question of the problem: how is the quality of cooperative learning with the learning patterns of collaboration to improve the character? The findings of the study are: cooperative learning is the basis working area limitation group while learning patterns of collaboration is to develop cooperation of all members in achieving the goals even though among the members there are pros and cons. This raises the quality of the cooperation process are: unity, ideals, and help each other to improve the quality of the character of each member of the group.
DOI: 10.48370/ofd/azjao5/yiadb7
title: HMW_Celastrus_orbiculatus_Thunb_H_5539.jpg

description: :unav
DOI: 10.17632/jznb2y99c7.1
title: COLLABORATIVE-COOPERATIVE LEARNING MODEL TO IMPROVE THEOLOGY STUDENTS’ CHARACTERS: IS IT EFECTIVE?

description: The Collaborative-Cooperative Learning Model (CCL) helps improve students’ characters. This study is aimed at finding out the effectiveness of the CCL instructional model in improving the characters of the theology students in the subject matter class Self Development. This study used a quasi-experimental research design. The research sample consisted of 58 students of the Surabaya Excelsius Institute of Theology. Data were collected through a pre-test and post-test for the experiment and control groups and analyzed using an independent sample t-test on the SPSS software program of Amos 25. The results show that (1) the CCL model was found to be able to improve students’ characters. Experts’ reviews concluded that the CCL syntax could be categorized as having innovative aspects based on the rationality model on the score of 3.29; (2) The CCL model was found to be effective in improving students’ characters by the Mann-Whitney test (sig. = .012) and the paired sample t-tes (sig. = .000) showed a significant difference in the mean scores; (3) the CCL model could improve the characters of self-discipline, social discipline, and religious discipline in the theology students in the subject matter class Self Development and could be used for subject matter classes with the same characteristics, be followed-up by research in wider subject-matter contexts, and be integrated with research from other academic fields.
DOI: 10.48370/ofd/azjao5
title: Dławisz okrągłolistny (Celastrus orbiculatus Thunb.), 5539

description: Herbarium
DOI: 10.5441/001/1.034jj41h/1
title: Common Rosefinch migration along the Indo-European Flyway-light-levels

description: Lisovski S, Neumann R, Albrecht T, Munclinger P, Ahola M, Bauer S, Cepak J, Fransson T, Jakobsson S, Jaakkonen T, Klvana P, Kullberg C, Laaksonen T, Metzger B, Piha M, Shurulinkov P, Stach R, Strom K, Velmala W, Briedis M. 2021. The Indo-European Flyway: opportunities and constraints reflected by common rosefinches breeding across Europe. J Biogeogr. doi:10.1111/jbi.14085
description: Aim: The configuration of the earth's landmasses influences global weather systems and spatiotemporal resource availability, thereby shaping biogeographical patterns and migratory routes of animals. Here, we aim to identify potential migratory barriers and corridors, as well as general migration strategies within the understudied Indo‐European flyway. Methods: We used a combination of theoretical optimization modelling and empirical tracking of Common Rosefinches (Carpodacus erythrinus) breeding across a large latitudinal gradient in Europe. First, we identified optimal migration routes driven by wind and resource availability along the Indo‐European flyway. Second, we tracked rosefinches from five breeding populations using light‐level geolocators. Finally, we compared to what extent empirical tracks overlapped with the modelled optimal routes. Results: In autumn, theoretical wind driven migration routes formed a broad‐front corridor connecting Europe and the Indian Subcontinent while the theoretical resource driven routes formed a distinct north‐south divide. The latter pattern also reflected the rosefinch tracks with all but the most southerly breeding birds making a northern detour towards non‐breeding sites in Pakistan and India. In spring, the resource availability model predicted a similar migratory divide, however, the southern route seemed relatively more favourable and closely matched with the optimal wind driven migration routes. Spring tracking data showed larger overlap with the modelled wind driven migration routes compared to the resource driven routes. Main conclusions: Optimal wind and resource driven migration routes along the Indo‐European flyway are seasonally specific and to a large extend do not overlap with one another. Under these conditions, migratory birds adopt seasonally distinct migration strategies following energy minimization strategy in autumn, driven by resource availability, and time minimizing strategy in spring, driven by wind conditions. Our optimal migration models can be applied worldwide and used to validate against empirical data to explain large‐scale biogeographic pattern of migratory animals.
DOI: 10.5441/001/1.034jj41h/2
title: Common Rosefinch migration along the Indo-European Flyway-tracks

description: Lisovski S, Neumann R, Albrecht T, Munclinger P, Ahola M, Bauer S, Cepak J, Fransson T, Jakobsson S, Jaakkonen T, Klvana P, Kullberg C, Laaksonen T, Metzger B, Piha M, Shurulinkov P, Stach R, Strom K, Velmala W, Briedis M. 2021. The Indo-European Flyway: opportunities and constraints reflected by common rosefinches breeding across Europe. J Biogeogr. doi:10.1111/jbi.14085
description: Aim: The configuration of the earth's landmasses influences global weather systems and spatiotemporal resource availability, thereby shaping biogeographical patterns and migratory routes of animals. Here, we aim to identify potential migratory barriers and corridors, as well as general migration strategies within the understudied Indo‐European flyway. Methods: We used a combination of theoretical optimization modelling and empirical tracking of Common Rosefinches (Carpodacus erythrinus) breeding across a large latitudinal gradient in Europe. First, we identified optimal migration routes driven by wind and resource availability along the Indo‐European flyway. Second, we tracked rosefinches from five breeding populations using light‐level geolocators. Finally, we compared to what extent empirical tracks overlapped with the modelled optimal routes. Results: In autumn, theoretical wind driven migration routes formed a broad‐front corridor connecting Europe and the Indian Subcontinent while the theoretical resource driven routes formed a distinct north‐south divide. The latter pattern also reflected the rosefinch tracks with all but the most southerly breeding birds making a northern detour towards non‐breeding sites in Pakistan and India. In spring, the resource availability model predicted a similar migratory divide, however, the southern route seemed relatively more favourable and closely matched with the optimal wind driven migration routes. Spring tracking data showed larger overlap with the modelled wind driven migration routes compared to the resource driven routes. Main conclusions: Optimal wind and resource driven migration routes along the Indo‐European flyway are seasonally specific and to a large extend do not overlap with one another. Under these conditions, migratory birds adopt seasonally distinct migration strategies following energy minimization strategy in autumn, driven by resource availability, and time minimizing strategy in spring, driven by wind conditions. Our optimal migration models can be applied worldwide and used to validate against empirical data to explain large‐scale biogeographic pattern of migratory animals.
DOI: 10.17632/gfnhp8r52y.1
title: Python elaboration of Patstat and Orbit data

description: The files included in this repository refer to an example of a patent intelligence approach suitable to focus on the technical implementations concerning the geographic mapping of the marine environment. Having run a search query on the database Orbit Intelligence (Questel), 315 records have been downloaded, the priority years ranging from yr. 2015 to October 2020. The files included allow to reproduce the results of a methodology conceived in order to implement the information available from a typical patent search approach. One goal, dealing on the one hand with the association of a list including technical concepts described in a coincise style with each corresponding patent family belonging to the original dataset, and on the other hand dealing with the necessity of producing a list of keywords ranked according to their frequency of use within the titles of the whole dataset, can be accomplished. To such aim, a quite simple elaboration can be performed with a couple of IPython Notebooks, allowing to generate MS Excel files included in such repository. Such modification of the original dataset allows the user to implement the accessibility to the technical details of the patent data, as well as optionally import the modified data as MS Excel files into the MS Power BI app to achieve a dynamic layout by means of tables and charts allowing to focus on specific features. For example, it is possible to filter the patent documents dealing with a specific technical concept, rather than those including a specific keyword in their titles. An additional goal is aimed at zooming in on a restricted number of patent documents selectable from the original dataset, being there the possibility of clustering the patents based on patterns of either IPC classification codes or on one or more of the 35 technology fields defined by WIPO. Specific patterns based on IPC classification codes or technology fields will appear as distinct clusters of patent documents thanks to the dimensionality reduction allowed by the t-SNE algorithm, which represents a significant implementation with respect to the traditional and less sophisticated approach, being the unambiguous association of a given pattern of IPC classification codes with a well focused, or even unique, technical topic a critical issue. According to the methodology proposed, sub-pools of patent families may be quickly partitioned into macro-categories based on the technical content of each patent document. At the same time, a quantitative analysis of the most representative IPC classification codes or of the predominant technology fields is immediately achieved. The outcome of such clustering approach consists of two pdf files (included in the repository). The patent family identifiers can be immediately detected within each cluster, thanks to the search tool available in Adobe Acrobat, so that the respective bibliographic data may be soon retrieved using such patent family identifier as input of Patstat.
DOI: 10.5441/001/1.034jj41h/3
title: Common Rosefinch migration along the Indo-European Flyway-twilights

description: Lisovski S, Neumann R, Albrecht T, Munclinger P, Ahola M, Bauer S, Cepak J, Fransson T, Jakobsson S, Jaakkonen T, Klvana P, Kullberg C, Laaksonen T, Metzger B, Piha M, Shurulinkov P, Stach R, Strom K, Velmala W, Briedis M. 2021. The Indo-European Flyway: opportunities and constraints reflected by common rosefinches breeding across Europe. J Biogeogr. doi:10.1111/jbi.14085
description: Aim: The configuration of the earth's landmasses influences global weather systems and spatiotemporal resource availability, thereby shaping biogeographical patterns and migratory routes of animals. Here, we aim to identify potential migratory barriers and corridors, as well as general migration strategies within the understudied Indo‐European flyway. Methods: We used a combination of theoretical optimization modelling and empirical tracking of Common Rosefinches (Carpodacus erythrinus) breeding across a large latitudinal gradient in Europe. First, we identified optimal migration routes driven by wind and resource availability along the Indo‐European flyway. Second, we tracked rosefinches from five breeding populations using light‐level geolocators. Finally, we compared to what extent empirical tracks overlapped with the modelled optimal routes. Results: In autumn, theoretical wind driven migration routes formed a broad‐front corridor connecting Europe and the Indian Subcontinent while the theoretical resource driven routes formed a distinct north‐south divide. The latter pattern also reflected the rosefinch tracks with all but the most southerly breeding birds making a northern detour towards non‐breeding sites in Pakistan and India. In spring, the resource availability model predicted a similar migratory divide, however, the southern route seemed relatively more favourable and closely matched with the optimal wind driven migration routes. Spring tracking data showed larger overlap with the modelled wind driven migration routes compared to the resource driven routes. Main conclusions: Optimal wind and resource driven migration routes along the Indo‐European flyway are seasonally specific and to a large extend do not overlap with one another. Under these conditions, migratory birds adopt seasonally distinct migration strategies following energy minimization strategy in autumn, driven by resource availability, and time minimizing strategy in spring, driven by wind conditions. Our optimal migration models can be applied worldwide and used to validate against empirical data to explain large‐scale biogeographic pattern of migratory animals.