cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7124855
title: Heliostat field positions after optimization with DLR's software HFLCAL

description: The dataset provides the design of the heliostat field layout, in terms of number and positions. The filed layout is optimized by minimizing the estimated LCOE of the system, using the DLR tool Visual HFLCAL software The datasets could help other people design a heliostat field. For detailed analysis, please refer to Deliverable 1.2 (Process Parameters of Solar Particle Cycle) to be downloaded at: https://www.compassco2.eu/wp-content/uploads/2022/03/Deliverable1.2_COMPASsCO2_V2.pdf
DOI: 10.5281/zenodo.7124890
title: Dataset for Uplink-based Live Session Model for Stalling Prediction in Video Streaming

description: This dataset presents aggregated YouTube streaming data used for uplink based quality impairment estimation.
DOI: 10.5281/zenodo.7124889
title: Dataset for Uplink-based Live Session Model for Stalling Prediction in Video Streaming

description: This dataset presents aggregated YouTube streaming data used for uplink based quality impairment estimation.
DOI: 10.5281/zenodo.7086222
title: Passau-SFCH

description: The novel Passau-Spontaneous Football Coach Humor (Passau-SFCH) dataset consists of press conference recordings of 10 different German Bundesliga football coaches collected in 2017. The data provided here only includes segments in which the respective coach is speaking, accounting for about 11 hours of data. There are three continuous annotations (2 Hz rate): Humour, as well as sentiment and direction (self- vs. others-directed) as proposed in the Humor Style Questionnaire by [1]. For a detailled description of the data, see [2]. The package includes: raw data segmented videos segmented audios manually corrected transcriptions extracted features, cf. [2] gold standard labels, cf. [2] Note that a variant of this dataset has been featured in the Multimodal Sentiment Analysis Challenge (MuSe) 2022 [3,4]. For questions, please contact Lukas Christ at lukas[dot]christ[at]informatik[dot]uni-augsburg[dot]de. [1] Martin, Rod A., et al. "Individual differences in uses of humor and their relation to psychological well-being: Development of the Humor Styles Questionnaire." <em>Journal of research in personality</em> 37.1 (2003): 48-75. [2] L. Christ, S. Amiriparian, A. Kathan, N. Müller, A. König, B. W. Schuller, "Multimodal Prediction of Spontaneous Humour: A Novel Dataset and First Results". arXiv preprint at arXiv: 2209.14272 [3] ] L. Christ, S. Amiriparian, A. Baird, P. Tzirakis, A. Kathan, N. Müller, L. Stappen, E.-M. Meßner, A. König, A. Cowen, E. Cambria, and B. W. Schuller, "The Muse 2022 Multimodal Sentiment<br> Analysis Challenge: Humor, Emotional Reactions, and Stress" in MuSe’22: Proceedings of the 3rd Multimodal Sentiment Analysis Workshop and Challenge. Lisbon, Portugal: Association for Computing Machinery, 2022, pp. 5–14, co-located with ACM Multimedia 2022, to appear. [4] S. Amiriparian, L. Christ, A. König, E.-M. Meßner, A. Cowen, E. Cambria, and B. W. Schuller, “Muse 2022 challenge: Multimodal humour, emotional reactions, and stress,” in Proceedings of the 30th ACM International Conference on Multimedia (MM’22). Lisbon, Portugal: Association for Computing Machinery, October 2022, 3 pages, to appear.
DOI: 10.5281/zenodo.7086221
title: Passau-SFCH

description: The novel Passau-Spontaneous Football Coach Humor (Passau-SFCH) dataset consists of press conference recordings of 10 different German Bundesliga football coaches collected in 2017. The data provided here only includes segments in which the respective coach is speaking, accounting for about 11 hours of data. There are three continuous annotations (2 Hz rate): Humour, as well as sentiment and direction (self- vs. others-directed) as proposed in the Humor Style Questionnaire by [1]. For a detailled description of the data, see [2]. The package includes: raw data segmented videos segmented audios manually corrected transcriptions extracted features, cf. [2] gold standard labels, cf. [2] Note that a variant of this dataset has been featured in the Multimodal Sentiment Analysis Challenge (MuSe) 2022 [3,4]. For questions, please contact Lukas Christ at lukas[dot]christ[at]informatik[dot]uni-augsburg[dot]de. [1] Martin, Rod A., et al. "Individual differences in uses of humor and their relation to psychological well-being: Development of the Humor Styles Questionnaire." <em>Journal of research in personality</em> 37.1 (2003): 48-75. [2] L. Christ, S. Amiriparian, A. Kathan, N. Müller, A. König, B. W. Schuller, "Multimodal Prediction of Spontaneous Humour: A Novel Dataset and First Results". arXiv preprint at arXiv: 2209.14272 [3] ] L. Christ, S. Amiriparian, A. Baird, P. Tzirakis, A. Kathan, N. Müller, L. Stappen, E.-M. Meßner, A. König, A. Cowen, E. Cambria, and B. W. Schuller, "The Muse 2022 Multimodal Sentiment<br> Analysis Challenge: Humor, Emotional Reactions, and Stress" in MuSe’22: Proceedings of the 3rd Multimodal Sentiment Analysis Workshop and Challenge. Lisbon, Portugal: Association for Computing Machinery, 2022, pp. 5–14, co-located with ACM Multimedia 2022, to appear. [4] S. Amiriparian, L. Christ, A. König, E.-M. Meßner, A. Cowen, E. Cambria, and B. W. Schuller, “Muse 2022 challenge: Multimodal humour, emotional reactions, and stress,” in Proceedings of the 30th ACM International Conference on Multimedia (MM’22). Lisbon, Portugal: Association for Computing Machinery, October 2022, 3 pages, to appear.
DOI: 10.5281/zenodo.7124898
title: cyprinella_lepida_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7124897
title: cyprinella_lepida_zanfona_1.fasta.gz

description: .
DOI: 10.5519/qd.z2qfk4p8
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (236 records)
DOI: 10.5281/zenodo.7124945
title: Uplink-based Live Session Model for Stalling Prediction in Video Streaming

description: Dataset to model streaming session only by uplink requests with the goal of quality impairment estimation like quality changes or stallings.
DOI: 10.5281/zenodo.7124944
title: Uplink-based Live Session Model for Stalling Prediction in Video Streaming

description: Dataset to model streaming session only by uplink requests with the goal of quality impairment estimation like quality changes or stallings.
DOI: 10.5441/001/1.vd7jb526
title: Data from: Effects of multiple targeted repelling measures on the behaviour of individually tracked birds in an area of increasing human-wildlife conflict

description: Heim W, Piironen A, Heim RJ, Piha M, Seimola T, Forsman JT, Laaksonen T. 2022. Effects of multiple targeted repelling measures on the behaviour of individually tracked birds in an area of increasing human-wildlife conflict. J Appl Ecol. doi:10.1111/1365-2664.14297
description: Some animal populations are rapidly increasing in numbers and expanding their ranges, leading to intensified human-wildlife conflicts. A wide range of tools has been developed to repel animals from areas where they are suspected to cause damage. For waterfowl, direct comparisons of multiple repelling methods have so far focused only on species´ presence, total numbers, cost effectiveness or subsequent damage assessments, but not on individual behaviour. Here, we investigated the individual responses of free-flying geese to three repelling methods using high-resolution tracking data. In an experimental setup, tracked individuals were repelled by human approach, gunshot sound or handheld lasers. We found that repelling success and return time to the field where the repelling took place increased when individuals were repelled multiple times. Travel distances after the repelling events were longer after human approach and gunshot sound compared to the handheld laser treatments. In spring, the probability to return to the same field was higher after repelling with handheld lasers, but no difference between treatments was evident in autumn. We observed no increase in the probability to visit accommodation fields, where geese were allowed to forage and were not repelled, after the repelling events. Synthesis and applications. We found no strong differences between the three methods regarding the repelling effectiveness and the resulting behaviour of the tracked geese. However, the higher return rates of individuals after repelling with handheld lasers in spring suggest that this method might be less effective in situations with bright sunlight or very large aggregations of geese. Apart from these limitations, we can recommend handheld lasers for repelling as they might reduce energetic losses for the geese and disturbance of non-target wildlife. Since repelling by gunshot sound and handheld lasers was twice as fast as repelling by human approach, those methods will reduce working hours by 50% and therefore be more cost-effective in practice.
DOI: 10.5441/001/1.vd7jb526/1
title: Barnacle Goose Finland by UTU and LUKE

description: Heim W, Piironen A, Heim RJ, Piha M, Seimola T, Forsman JT, Laaksonen T. 2022. Effects of multiple targeted repelling measures on the behaviour of individually tracked birds in an area of increasing human-wildlife conflict. J Appl Ecol. doi:10.1111/1365-2664.14297
description: Some animal populations are rapidly increasing in numbers and expanding their ranges, leading to intensified human-wildlife conflicts. A wide range of tools has been developed to repel animals from areas where they are suspected to cause damage. For waterfowl, direct comparisons of multiple repelling methods have so far focused only on species´ presence, total numbers, cost effectiveness or subsequent damage assessments, but not on individual behaviour. Here, we investigated the individual responses of free-flying geese to three repelling methods using high-resolution tracking data. In an experimental setup, tracked individuals were repelled by human approach, gunshot sound or handheld lasers. We found that repelling success and return time to the field where the repelling took place increased when individuals were repelled multiple times. Travel distances after the repelling events were longer after human approach and gunshot sound compared to the handheld laser treatments. In spring, the probability to return to the same field was higher after repelling with handheld lasers, but no difference between treatments was evident in autumn. We observed no increase in the probability to visit accommodation fields, where geese were allowed to forage and were not repelled, after the repelling events. Synthesis and applications. We found no strong differences between the three methods regarding the repelling effectiveness and the resulting behaviour of the tracked geese. However, the higher return rates of individuals after repelling with handheld lasers in spring suggest that this method might be less effective in situations with bright sunlight or very large aggregations of geese. Apart from these limitations, we can recommend handheld lasers for repelling as they might reduce energetic losses for the geese and disturbance of non-target wildlife. Since repelling by gunshot sound and handheld lasers was twice as fast as repelling by human approach, those methods will reduce working hours by 50% and therefore be more cost-effective in practice.
DOI: 10.5441/001/1.vd7jb526/2
title: Barnacle Goose Finland by UTU and LUKE-reference-data

description: Heim W, Piironen A, Heim RJ, Piha M, Seimola T, Forsman JT, Laaksonen T. 2022. Effects of multiple targeted repelling measures on the behaviour of individually tracked birds in an area of increasing human-wildlife conflict. J Appl Ecol. doi:10.1111/1365-2664.14297
description: Some animal populations are rapidly increasing in numbers and expanding their ranges, leading to intensified human-wildlife conflicts. A wide range of tools has been developed to repel animals from areas where they are suspected to cause damage. For waterfowl, direct comparisons of multiple repelling methods have so far focused only on species´ presence, total numbers, cost effectiveness or subsequent damage assessments, but not on individual behaviour. Here, we investigated the individual responses of free-flying geese to three repelling methods using high-resolution tracking data. In an experimental setup, tracked individuals were repelled by human approach, gunshot sound or handheld lasers. We found that repelling success and return time to the field where the repelling took place increased when individuals were repelled multiple times. Travel distances after the repelling events were longer after human approach and gunshot sound compared to the handheld laser treatments. In spring, the probability to return to the same field was higher after repelling with handheld lasers, but no difference between treatments was evident in autumn. We observed no increase in the probability to visit accommodation fields, where geese were allowed to forage and were not repelled, after the repelling events. Synthesis and applications. We found no strong differences between the three methods regarding the repelling effectiveness and the resulting behaviour of the tracked geese. However, the higher return rates of individuals after repelling with handheld lasers in spring suggest that this method might be less effective in situations with bright sunlight or very large aggregations of geese. Apart from these limitations, we can recommend handheld lasers for repelling as they might reduce energetic losses for the geese and disturbance of non-target wildlife. Since repelling by gunshot sound and handheld lasers was twice as fast as repelling by human approach, those methods will reduce working hours by 50% and therefore be more cost-effective in practice.
DOI: 10.34740/kaggle/dsv/4263875
title: 2021 World Population (updated daily)
DOI: 10.5281/zenodo.7124817
title: Einzelbaumdaten der Versuchsfläche Reinhausen 3002j

description: Datensatz der Erfassung von longitudinalen Einzelbaumdaten mit Schwerpunkt Holzbiomasse
DOI: 10.5281/zenodo.7124816
title: Einzelbaumdaten der Versuchsfläche Reinhausen 3002j

description: Datensatz der Erfassung von longitudinalen Einzelbaumdaten mit Schwerpunkt Holzbiomasse
DOI: 10.6084/m9.figshare.21230539
title: Turkish adaptation of the interprofessional attitude scale (IPAS)

description: The Interprofessional Attitude Scale (IPAS) was developed to measure the core competencies for interprofessional education and collaborative practice, which thepresent study aims to evaluate for adaptation into Turkish. The study was conducted with 254 students from four different faculties related to health sciences. The guideline by Sosua and Rojannasrirat (2011) was followed. Content validity analysis, descriptive analysis, exploratory and confirmatory factor analysis, and correlation analysis were performed. Reliability was assessed using Cronbach’s alpha. Descriptive analysis revealed that the majority of the participants agreed with the items (mean scale score was 160.99 ± 15.99). The Item and Scales content validity indices were 0.85–1.00 and 0.93 respectively. In the construct validity analysis, the scale was divided into five sub-dimensions at an acceptable level. The reliability coefficient was calculated as 0.87. In the analysis of scale items variance component percentages estimated for person, for items, and for person × item were 14.1%, 29%, and 56.9%, respectively. In conclusion, IPAS-TR is a valid and reliable tool that can be used to measure interprofessional attitudes.
DOI: 10.6084/m9.figshare.21230539.v1
title: Turkish adaptation of the interprofessional attitude scale (IPAS)

description: The Interprofessional Attitude Scale (IPAS) was developed to measure the core competencies for interprofessional education and collaborative practice, which thepresent study aims to evaluate for adaptation into Turkish. The study was conducted with 254 students from four different faculties related to health sciences. The guideline by Sosua and Rojannasrirat (2011) was followed. Content validity analysis, descriptive analysis, exploratory and confirmatory factor analysis, and correlation analysis were performed. Reliability was assessed using Cronbach’s alpha. Descriptive analysis revealed that the majority of the participants agreed with the items (mean scale score was 160.99 ± 15.99). The Item and Scales content validity indices were 0.85–1.00 and 0.93 respectively. In the construct validity analysis, the scale was divided into five sub-dimensions at an acceptable level. The reliability coefficient was calculated as 0.87. In the analysis of scale items variance component percentages estimated for person, for items, and for person × item were 14.1%, 29%, and 56.9%, respectively. In conclusion, IPAS-TR is a valid and reliable tool that can be used to measure interprofessional attitudes.
DOI: 10.34740/kaggle/dsv/4263918
title: Elon Musk Tweets
DOI: 10.1285/i26108968n8
title: Educazione, Formazione e trasmissione dei Saperi. Nel Medioevo ed oltre
DOI: 10.21227/ec7p-xq38
title: UE Statistics Time-Series (CQI) in LTE Networks

description: As wireless networks become denser and more heterogeneous different paths can be considered in order to reach each multi-homed UE, offering optimal performance. 5G and beyond networks feature contributions related to the dynamic programming of the network, from the operator side, in order to optimally allocate resources in the network. In our work, we consider such a case, where network access is provided to the end-users via heterogeneous (3GPP and non-3GPP) Distributed Units (DUs), converging to a single Central Unit (CU), and programmable on the fly with external interfaces. We employ Machine Learning (ML) methods in order to forecast the Quality of Service (QoS) that a wireless client will get from the network in the near future based on the Channel State Information (CSI) metric. Subsequently, we appropriately steer the traffic over the different heterogeneous DUs for ensuring that the network meets the needs of the UEs. We design, develop, deploy and evaluate our method in a real testbed environment, using emulated mobility. Our results show that the overall throughput of each UE can be drastically improved compared to existing allocation mechanisms. This work is based on the submitted data in this repository, where we collect Channel Quality Indicator (CQI) data from real commercial networks in city Volos, in Greece. Specifically, we create a dataset with CQI data from 73 cars driving through a specific road of the city.
DOI: 10.1285/i26108968n8p1
title: Frontespizio e pagine iniziali
DOI: 10.1285/i26108968n8p3
title: Indice
DOI: 10.1285/i26108968n8p5
title: Introduzione
DOI: 10.1285/i26108968n8p7
title: Il canto gregoriano e le Scholae cantorum
DOI: 10.1285/i26108968n8p15
title: La enseñanza en el Reino de Sevilla a finales de la Edad Media: centros, agentes e instrumentos
DOI: 10.1285/i26108968n8p37
title: Liber scriptus
DOI: 10.5281/zenodo.7125019
title: Jury 2 Dataset

description: Jury 2 Dataset, collected 05-2022
DOI: 10.5281/zenodo.7125018
title: Jury 2 Dataset

description: Jury 2 Dataset, collected 05-2022
DOI: 10.1285/i26108968n8p43
title: I libri come silenziosi custodi della storia straordinaria della biblioteca che li conserva. La biblioteca arcivescovile "A. De Leo"
DOI: 10.1285/i26108968n8p53
title: Italo Toscani e l'educazione dell'infanzia socialista tra guerra e dopoguerra (1915-1920)
DOI: 10.1285/i26108968n8p61
title: Il lessico specialistico e la Scienza Brutta di Barbascura
DOI: 10.1285/i26108968n8p71
title: Saperi e pratiche contabili nel principato di Taranto alla metà del XV secolo. Prime riflessioni
DOI: 10.5281/zenodo.7121090
title: Monitoring the opioid epidemic via social media discussions

description: <strong>The opioid epidemic persists in the United States; in 2020, annual drug overdose deaths increased by 29% to 91,799, including 68,630 opioid-related deaths. The widespread abuse of opioids across geographies and demographics and the rapidly changing dynamics of abuse require reliable and timely information to monitor and address the crisis. Social media platforms include petabytes of participant-generated data that offers a window into the relationship between individuals and their use of drugs. We assessed the utility of Reddit data for public health surveillance, with a focus on the opioid epidemic. We built a natural language processing pipeline to identify opioid-related comments and created a cohort of 1,689,039 geo-located Reddit users, each assigned to a city and state. We followed these users over a period of 10+ years and measured their opioid-related activity over time. We benchmarked the activity of this cohort against CDC overdose death rates for different drug classes and NFLIS drug report rates. Our Reddit-derived rates of opioid discussion strongly correlated with external benchmarks on the national, regional, and city level. During the period of our study, kratom emerged as an active discussion topic; we analyzed mentions of kratom to understand the dynamics of its use. We also examined changes in opioid discussions during the COVID-19 pandemic; in 2020, many opioid classes showed marked increases in discussion patterns. Our work suggests the complementary utility of social media as a part of public health surveillance activities.</strong>
DOI: 10.5281/zenodo.7121089
title: Monitoring the opioid epidemic via social media discussions

description: <strong>The opioid epidemic persists in the United States; in 2020, annual drug overdose deaths increased by 29% to 91,799, including 68,630 opioid-related deaths. The widespread abuse of opioids across geographies and demographics and the rapidly changing dynamics of abuse require reliable and timely information to monitor and address the crisis. Social media platforms include petabytes of participant-generated data that offers a window into the relationship between individuals and their use of drugs. We assessed the utility of Reddit data for public health surveillance, with a focus on the opioid epidemic. We built a natural language processing pipeline to identify opioid-related comments and created a cohort of 1,689,039 geo-located Reddit users, each assigned to a city and state. We followed these users over a period of 10+ years and measured their opioid-related activity over time. We benchmarked the activity of this cohort against CDC overdose death rates for different drug classes and NFLIS drug report rates. Our Reddit-derived rates of opioid discussion strongly correlated with external benchmarks on the national, regional, and city level. During the period of our study, kratom emerged as an active discussion topic; we analyzed mentions of kratom to understand the dynamics of its use. We also examined changes in opioid discussions during the COVID-19 pandemic; in 2020, many opioid classes showed marked increases in discussion patterns. Our work suggests the complementary utility of social media as a part of public health surveillance activities.</strong>
DOI: 10.1285/i26108968n8p81
title: El mio magistro a dito el vero sença falir: il flos duellatorum e la trasmissione delle tecniche di combattimento nel XV secolo
DOI: 10.1285/i26108968n8p95
title: Uno strumento innovativo per l'apprendimento della Storia medievale: il software Chatbot
DOI: 10.1285/i26108968n8p109
title: Edutainment: apprendimento ludico della Storia Medievale
DOI: 10.1285/i26108968n8p121
title: Musici et cantores: agli albori della cultura musicale europea
DOI: 10.1285/i26108968n8p129
title: Il museo scientifico d'età moderna come luogo di conoscenza (XVI-XVIII secolo)
DOI: 10.1285/i26108968n8p141
title: Preparare alla professione i ragazzi fragili attraverso un approccio alla trasmissione dei saperi basato sulla pratica delle professioni antiche
DOI: 10.1285/i26108968n8p153
title: Formularios notariales en la Corona de Aragón en la Edad Media: Circulación de libros, fórmulas y saberes
DOI: 10.1285/i26108968n8p171
title: Il principio di parsimonia in Guglielmo di Ockham e la didattica dei saperi fondanti delle discipline
DOI: 10.5281/zenodo.3959056
title: LAR phylogeny for Güngör et al. 2020: The complete analysis and dataset

description: Fixing this repository as version 1.00.00 while the corresponding revised manuscript was submitted to new phytologist.