cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4767108
title: TAU Urban Acoustic Scenes 2021 Mobile, Evaluation dataset

description: TAU Urban Acoustic Scenes 2021 Mobile, Evaluation dataset consists of 10-seconds audio segments from 10 acoustic scenes: Airport - <em>airport</em> Indoor shopping mall - <em>shopping_mall</em> Metro station - <em>metro_station</em> Pedestrian street - <em>street_pedestrian</em> Public square - <em>public_square</em> Street with medium level of traffic - <em>street_traffic</em> Travelling by a tram - <em>tram</em> Travelling by a bus - <em>bus</em> Travelling by an underground metro - <em>metro</em> Urban park - <em>park</em>
DOI: 10.5281/zenodo.4767103
title: TAU Urban Audio-Visual Scenes 2021, Evaluation dataset

description: TAU Urban Audio-Visual Scenes 2021, Evaluation dataset consists of 1-second audio and video segments from 10 acoustic scenes: Airport - <em>airport</em> Indoor shopping mall - <em>shopping_mall</em> Metro station - <em>metro_station</em> Pedestrian street - <em>street_pedestrian</em> Public square - <em>public_square</em> Street with medium level of traffic - <em>street_traffic</em> Traveling by a tram - <em>tram</em> Traveling by a bus - <em>bus</em> Traveling by an underground metro - <em>metro</em> Urban park - <em>park</em> The dataset contains in total of 20 hours of material.
DOI: 10.5281/zenodo.4767102
title: TAU Urban Audio-Visual Scenes 2021, Evaluation dataset

description: TAU Urban Audio-Visual Scenes 2021, Evaluation dataset consists of 1-second audio and video segments from 10 acoustic scenes: Airport - <em>airport</em> Indoor shopping mall - <em>shopping_mall</em> Metro station - <em>metro_station</em> Pedestrian street - <em>street_pedestrian</em> Public square - <em>public_square</em> Street with medium level of traffic - <em>street_traffic</em> Traveling by a tram - <em>tram</em> Traveling by a bus - <em>bus</em> Traveling by an underground metro - <em>metro</em> Urban park - <em>park</em> The dataset contains in total of 20 hours of material.
DOI: 10.14469/hpc/8290
title: tBu TS4 (30)

description: TS4, b3lyp+GD3BJ/Def2-SVPP, SCRF=THF, ΔG = -1480.6776 , ΔΔG = 6.15
DOI: 10.14469/hpc/8291
title: iPr TS4 (29)

description: TS4, b3lyp+GD3BJ/Def2-SVPP, SCRF=THF, ΔG = -1441.4172, ΔΔG = 5.33
DOI: 10.14469/hpc/8292
title: Et TS4 (28)

description: TS4, b3lyp+GD3BJ/Def2-SVPP, SCRF=THF, ΔG = -1402.1559, ΔΔG = 3.83
DOI: 10.14469/hpc/8295
title: H TS3 (21)

description: TS3, b3lyp+GD3BJ/Def2-SVPP, SCRF=THF, ΔG = -1323.6251, ΔΔG = 8.85
DOI: 10.14469/hpc/8297
title: iPr TS3 (24)

description: TS3, b3lyp+GD3BJ/Def2-SVPP, SCRF=THF, ΔG = -1441.4132, ΔΔG = 7.84
DOI: 10.6084/m9.figshare.14709843
title: Limnios et al. 2020 Data

description: This is the dataset that was analised for the purposes of our study. At the first spreadsheet you will find all the variables, while at the second spreadsheet you will find explanations for some variables.
DOI: 10.6084/m9.figshare.14709843.v1
title: Limnios et al. 2020 Data

description: This is the dataset that was analised for the purposes of our study. At the first spreadsheet you will find all the variables, while at the second spreadsheet you will find explanations for some variables.
DOI: 10.6084/m9.figshare.14709826.v1
title: Methods for the detection of adverse drug reactions in hospitalized children: a systematic review

description: <b>Introduction</b>: Adverse drug reactions (ADR) are a problem for healthcare systems worldwide. Pediatric patients constitute a vulnerable group with regard to ADRs. However, although pediatric patients are at increased risk for these reactions, there is little progress on ADR detection methods in this group. <b>Areas covered</b>: In this systematic search, performed according to PRISMA statements, we selected studies, published in PubMed/Medline databases; Scopus; LILACS; Web of Science; Embase and Cochrane Library until April, 2020, on ADRs in hospitalized pediatric patients. <b>Expert opinion</b>: The increase of pediatric drug safety data is essential to the improvement of childcare. Health services must continuously stimulate educational programs focused on ADR detection tools to minimize the barriers and raise awareness among professionals. Therefore, it is necessary to consider that each method has advantages and disadvantages and must be analyzed in detail to be implemented according to the peculiarities of each practice scenario. Triggers tools (active method) correlated with electronic medical notes seems a good strategy for ADR identification, whether pediatric parameters are well checked and adapted with each age group. In any event, combined methods will add data to identification and clearer ADR assessment.
DOI: 10.6084/m9.figshare.14709810.v1
title: Data - experiment 2 - density-dependent settlement

description: Data for experiment 2. See code item for the R code to run this analyses.<br>Note that file names are the same for density-dependent and density-independent models. They have therefore been stored seperately, and care should be taken when reading in files that the corrent directory is used
DOI: 10.6084/m9.figshare.14709804.v1
title: Data - experiment 2 - density-independent settlement

description: Data for experiment 2. See code item for the R code to run this analyses.<br>Note that file names are the same for density-independent and density-dependent models. They have therefore been stored seperately, and care should be taken when reading in files that the corrent directory is used
DOI: 10.6084/m9.figshare.14709826
title: Methods for the detection of adverse drug reactions in hospitalized children: a systematic review

description: <b>Introduction</b>: Adverse drug reactions (ADR) are a problem for healthcare systems worldwide. Pediatric patients constitute a vulnerable group with regard to ADRs. However, although pediatric patients are at increased risk for these reactions, there is little progress on ADR detection methods in this group. <b>Areas covered</b>: In this systematic search, performed according to PRISMA statements, we selected studies, published in PubMed/Medline databases; Scopus; LILACS; Web of Science; Embase and Cochrane Library until April, 2020, on ADRs in hospitalized pediatric patients. <b>Expert opinion</b>: The increase of pediatric drug safety data is essential to the improvement of childcare. Health services must continuously stimulate educational programs focused on ADR detection tools to minimize the barriers and raise awareness among professionals. Therefore, it is necessary to consider that each method has advantages and disadvantages and must be analyzed in detail to be implemented according to the peculiarities of each practice scenario. Triggers tools (active method) correlated with electronic medical notes seems a good strategy for ADR identification, whether pediatric parameters are well checked and adapted with each age group. In any event, combined methods will add data to identification and clearer ADR assessment.
DOI: 10.5281/zenodo.4889554
title: UV/Vis spectra (biocatalysis)

description: internal UV/Vis spectra stored for backup purposes
DOI: 10.5281/zenodo.4889553
title: UV/Vis spectra (biocatalysis)

description: internal UV/Vis spectra stored for backup purposes
DOI: 10.5255/ukda-sn-854733
title: Eyewitness Identification: Experimental Data, 2016-2019

description: Eyewitnesses are widely believed to have a better chance of identifying a perpetrator from a live identification procedure than from photo or video alternatives. To test this live superiority hypothesis, prospective students and their parents (N = 1048) became unsuspecting witnesses to staged events and were randomly assigned to live, photo, or video identification procedures. In Experiment 1, participants viewed a single person at the identification procedure. In Experiment 2, participants viewed a lineup of six people. Across experiments, live identification procedures did not improve eyewitness identification performance. The results show that even under experimental settings designed to eliminate the disadvantages of conducting live lineups in practice, live presentation confers no benefit to eyewitnesses.
DOI: 10.25646/8570
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.5281/zenodo.4646662
title: ANEE Lexical Portal - the dataset

description: The Dataset of the Lexicographical Portal of Akkadian Words created in the Semantic Domains in Akkadian Texts project at the University of Helsinki.
DOI: 10.5281/zenodo.4646661
title: ANEE Lexical Portal - the dataset

description: The Dataset of the Lexicographical Portal of Akkadian Words created in the Semantic Domains in Akkadian Texts project at the University of Helsinki.
DOI: 10.23708/m9n7ai
title: Carbon, texture, pH, bulk density in sandy soils of Senegalese groundnut basin (2016-2018)

description: Dataset used for a paper published in Regional Environmental Change (2021) "Estimates of carbon stocks in sandy soils cultivated under local management practices in Senegal’s groundnut basin". Data comprised Sheet 1: Measured data (total carbon content, pH in water, pH in 1M KCl, 5 textural fractions for soil samples collected at 0-10 cm and 10-30 cm depth) with approximate UTM coordinates of fields and internal sample number (n=439). Sheet 2: visNIRS-based predicted data for soil carbon content and textural fractions with approximate UTM coordinates of plots, village names and internal sample number (n=3197). Sheet 3: measured (n=386) and estimated (n = 3240) bulk density of soil (0-10 and 10-30 cm layers). Sheet 4: Calculated carbon stocks in the topsoil (0-30 cm; n=1813 plots) with approximate UTM coordinates, information on type of fields and soils (Senegalese soil classification).
DOI: 10.5255/ukda-sn-854952
title: Conserving Cultural Heritage: The Resilience of Forcibly Displaced Syrian Artisans in Jordan, 2016-2018

description: The project addressed Jordan ’s development challenges arising from the burgeoning influx of displaced Syrians by exploring the resilience, vulnerabilities and identities of the displaced Syrian artisans residing in Jordan since the war in Syria erupted in 2011. It addressed questions about the socio-political impact of engaging in cultural heritage crafts on the displaced Syrian community in Jordan, the impact of cultural appropriation through ‘made in Jordan’ Syrian cultural heritage products on the conservation of the Syrian cultural heritage by the displaced artisans, and the impact of displacement and the arising marginalised masculinities, on the resilience of neo-patriarchal displaced Arab communities. In doing so, we contribute to the rapidly growing resilience discourse which has largely ignored the resilience of displaced artisans, and displaced Syrians. Mixed methods were used to collect data from stakeholders, Jordanian artisans and displaced Syrian artisans residing in Jordan. In addition, the project had three capacity building components: 1. enhancing Jordan’s social research capacity by training postdoctoral researchers 2. encouraging the social enterprise model by training Jordanian trainers to deliver a social enterprise start up programme for artisans 3. training Jordanian artisans and displaced Syrian artisans in social enterprise The project was designed through the interdisciplinary strengths of the team of investigators and project partners. Dr Haya Al-Dajani (Principal Investigator) brings a gender, enterprise and displacement expertise, whilst Professor Geoff Wilson (CoInvestigator) is an expert on resilience and Dr Marta Hawkins (Co-Investigator) is an expert in the creative industries and visual and sensorial methods. The King Hussein Foundation’s Information and Research Center in Jordan is an internationally recognised centre focused on socio-economic planning and transformation through research, advocacy and knowledge transfer. Tiraz is a unique non-profit cultural foundation and cultural heritage research centre dedicated to promoting and preserving Arab cultural heritage.
DOI: 10.6084/m9.figshare.14703483.v1
title: Supplemental Table 1.xlsx

description: Dataset summarizes physicochemical properties of lead-contaminated calcareous soil treated with: (1) hardwood biochar (BIOC), (2) composted manure (COMP), and commercial water-soluble inorganic fertilizer (INF), along with an unamended control soil (UNAM). It further provides data on plant growth indicators for <i>Raphanus sativus </i>L. and <i> Lactuca sativa</i> L. grown in the four treatments. Lead tissue concentrations for <i>Raphanus sativus </i>L. are described, along with key plant Pb uptake indicators.
DOI: 10.5281/zenodo.4889720
title: Risk evaluation data sets for Car in cycle 1

description: This is the Risk evaluation data sets for car drivers collected through Naturalistic Driving Tests (NDT) study used in Simusafe cycle 1
DOI: 10.5281/zenodo.4889719
title: Risk evaluation data sets for Car in cycle 1

description: This is the Risk evaluation data sets for car drivers collected through Naturalistic Driving Tests (NDT) study used in Simusafe cycle 1
DOI: 10.6084/m9.figshare.14703483.v2
title: Supplemental Table 1.xlsx

description: Dataset summarizes physicochemical properties of lead-contaminated calcareous soil treated with: (1) hardwood biochar (BIOC), (2) composted manure (COMP), and commercial water-soluble inorganic fertilizer (INF), along with an unamended control soil (UNAM). It further provides data on plant growth indicators for <i>Raphanus sativus </i>L. and <i> Lactuca sativa</i> L. grown in the four treatments. Lead tissue concentrations for <i>Raphanus sativus </i>L. are described, along with key plant Pb uptake indicators.
DOI: 10.5281/zenodo.4883618
title: Synergies and conflicts of energy development and water security in Africa

description: This dataset underpins the study "Synergies and conflicts of energy development and water security in Africa". The study provides insights into energy supply and demand, power generation, investments and total system costs, water consumption and withdrawal as well as carbon dioxide emissions for the African continent. We developed a model to evaluate energy supply and water requirements to cover the energy needs of the African continent during the period 2015-2065. The model was developed using the open-source modeling system for long-term energy planning OSeMOSYS. The objective function is to minimise total energy system costs, rather than, for example, co-optimise the energy and water sectors. Other energy resources were also included in the model except for adding the water analysis, and the dataset was updated based on the latest available information. The OSeMOSYS model developed to conduct the study “Energy projections for African countries”, itself extended from the Electricity Model Base for Africa (TEMBA), was further extended, included exports for all fuels, water loss due to evaporation in hydropower plants and more scenarios examined. Furthermore, the latest available data on the energy system of Africa was also updated. The TEMBA model produces aggregate energy, and detailed power system results in each country in the African continent. The power sector results are also reported with power pool aggregation. The OSeMOSYS model and input data used to produce these results can be found at KTH-dESA/jrc_temba: TEMBA 2.1 (Version v2.1) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.4889373 (Authors: Ioannis Pappis, Vignesh Sridharan, Will Usher, & Mark Howells. (2021). The initial study was funded by the Joint Research Centre of the European Commission (contract number C936531 - JRC/PTT/2018/C.7/0038/NC).
DOI: 10.5281/zenodo.3882052
title: Synergies and conflicts of energy development and water security in Africa

description: This dataset underpins the study "Synergies and conflicts of energy development and water security in Africa". The study provides insights into energy supply and demand, power generation, investments and total system costs, water consumption and withdrawal as well as carbon dioxide emissions for the African continent. We developed a model to evaluate energy supply and water requirements to cover the energy needs of the African continent during the period 2015-2065. The model was developed using the open-source modeling system for long-term energy planning OSeMOSYS. The objective function is to minimise total energy system costs, rather than, for example, co-optimise the energy and water sectors. Other energy resources were also included in the model except for adding the water analysis, and the dataset was updated based on the latest available information. The OSeMOSYS model developed to conduct the study “Energy projections for African countries”, itself extended from the Electricity Model Base for Africa (TEMBA), was further extended, included exports for all fuels, water loss due to evaporation in hydropower plants and more scenarios examined. Furthermore, the latest available data on the energy system of Africa was also updated. The TEMBA model produces aggregate energy, and detailed power system results in each country in the African continent. The power sector results are also reported with power pool aggregation. The OSeMOSYS model and input data used to produce these results can be found at KTH-dESA/jrc_temba: TEMBA 2.1 (Version v2.1) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.4889373 (Authors: Ioannis Pappis, Vignesh Sridharan, Will Usher, & Mark Howells. (2021). The initial study was funded by the Joint Research Centre of the European Commission (contract number C936531 - JRC/PTT/2018/C.7/0038/NC).
DOI: 10.5517/ccdc.csd.cc23s4nq
title: CCDC 1959623: Experimental Crystal Structure Determination

description: Related Article: Rahul Kumar, Abhisek Joshi, Deepa Rawat, Subbarayappa Adimurthy|2021|Synth.Commun.|51|1340|doi:10.1080/00397911.2021.1880594
DOI: 10.5517/ccdc.csd.cc23s4pr
title: CCDC 1959624: Experimental Crystal Structure Determination

description: Related Article: Rahul Kumar, Abhisek Joshi, Deepa Rawat, Subbarayappa Adimurthy|2021|Synth.Commun.|51|1340|doi:10.1080/00397911.2021.1880594
DOI: 10.5281/zenodo.4889740
title: Resolving organoid brain region identities by mapping single-cell genomic data to reference atlases

description: Open data of the publication “Resolving organoid brain region identities by mapping single-cell genomic data to reference atlases”, published in <em>Cell Stem Cell</em>, <strong>2021</strong>, ISSN 1934-5909. The data underlying the figures can be found in the links included in the word file and in website https://www.sciencedirect.com/science/article/pii/S1934590921000655?via%3Dihub.
DOI: 10.5281/zenodo.4889739
title: Resolving organoid brain region identities by mapping single-cell genomic data to reference atlases

description: Open data of the publication “Resolving organoid brain region identities by mapping single-cell genomic data to reference atlases”, published in <em>Cell Stem Cell</em>, <strong>2021</strong>, ISSN 1934-5909. The data underlying the figures can be found in the links included in the word file and in website https://www.sciencedirect.com/science/article/pii/S1934590921000655?via%3Dihub.
DOI: 10.6084/m9.figshare.14703483.v3
title: S1 Plant & Soil Data.xlsx

description: Dataset summarizes physicochemical properties of lead-contaminated calcareous soil treated with: (1) hardwood biochar (BIOC), (2) composted manure (COMP), and commercial water-soluble inorganic fertilizer (INF), along with an unamended control soil (UNAM). It further provides data on plant growth indicators for <i>Raphanus sativus </i>L. and <i> Lactuca sativa</i> L. grown in the four treatments. Lead tissue concentrations for <i>Raphanus sativus </i>L. are described, along with key plant Pb uptake indicators.
DOI: 10.5281/zenodo.4305868
title: BRAVE population survey

description: Data set from the BRAVE population survey. A codebook and a variable report are documenting and complementing the data set. The BRAVE population survey was conducted within the context of the multidisciplinary research project “BRidging gaps for the adoption of Automated VEhicles” (BRAVE) funded by the EU as part of the Horizon 2020 research program. The survey took place in the seven countries of the participating project partners, i.e. in the EU countries France, Germany, Slovenia, Spain, and Sweden, as well as in Australia and the USA and lasted from December 2019 to February 2020. The survey was conducted via computer assisted web interviews (CAWI). The recruitment of the participants for the online survey was carried out with an online access panel. The Ethics Commission of the School of Business, Economics and Society of the University Erlangen-Nuremberg approved the research project. The survey was performed concurrently in all seven countries in the respective national language and quotas for gender, age and regions within each of the countries were applied. In each of the participating countries, 1,000 road users from the age of 18 years were interviewed. After data quality checks 6,608 respondents remain in the data set. For more details please see: Schrauth, B., Maier, S., Kraetsch, C., & Funk, W. (2020). Report on the findings of the BRAVE population survey: Deliverable 2.3 from the EU-H2020-project BRAVE – BRidging the gaps for the adoption of Automated VEhicles (Materialien No. 2/2020). Nürnberg. doi: 10.5281/zenodo.4247395 The deliverable D2.3 is also available at: https://www.ifes.fau.de/files/2020/06/mat-2-2020-brave-population-survey.pdf
description: Dataset stored in SPSS-file format (*.sav); data preparation was performed with IBM SPSS Statistics 25.
DOI: 10.5281/zenodo.4305867
title: BRAVE population survey

description: Data set from the BRAVE population survey. A codebook and a variable report are documenting and complementing the data set. The BRAVE population survey was conducted within the context of the multidisciplinary research project “BRidging gaps for the adoption of Automated VEhicles” (BRAVE) funded by the EU as part of the Horizon 2020 research program. The survey took place in the seven countries of the participating project partners, i.e. in the EU countries France, Germany, Slovenia, Spain, and Sweden, as well as in Australia and the USA and lasted from December 2019 to February 2020. The survey was conducted via computer assisted web interviews (CAWI). The recruitment of the participants for the online survey was carried out with an online access panel. The Ethics Commission of the School of Business, Economics and Society of the University Erlangen-Nuremberg approved the research project. The survey was performed concurrently in all seven countries in the respective national language and quotas for gender, age and regions within each of the countries were applied. In each of the participating countries, 1,000 road users from the age of 18 years were interviewed. After data quality checks 6,608 respondents remain in the data set. For more details please see: Schrauth, B., Maier, S., Kraetsch, C., & Funk, W. (2020). Report on the findings of the BRAVE population survey: Deliverable 2.3 from the EU-H2020-project BRAVE – BRidging the gaps for the adoption of Automated VEhicles (Materialien No. 2/2020). Nürnberg. doi: 10.5281/zenodo.4247395 The deliverable D2.3 is also available at: https://www.ifes.fau.de/files/2020/06/mat-2-2020-brave-population-survey.pdf
description: Dataset stored in SPSS-file format (*.sav); data preparation was performed with IBM SPSS Statistics 25.