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Replication Data for: Sub-surface turbulence or non-breaking capillary waves: which dominates air-water gas transfer?
This dataset contains the data necessary to reproduce the plots in the publication 'Sub-surface turbulence or non-breaking capillary waves: which dominates air-water gas transfer?'. It contains results obtained by particle image velocimetry, planar laser-induced fluorescence, and O2 concentration measurements for flows with different combinations of sub-surface turbulence and surface wave properties
Replication Data for: Phonetic reduction in native and non-native English speech: Assessing the intelligibility for L2 listeners
Dataset abstract
This dataset contains the results from 40 L1 British English, 80 Belgian Dutch and 80 European Spanish listeners, who were exposed to English speakers with a General British English, Newcastle and French accent. In the first experiment, participants completed (i) a demographic and linguistic background questionnaire, (ii) an orthographic transcription task and (iii) a vocabulary/general proficiency test (LexTALE; cf. Lemhöfer & Broersma, 2012). In the transcription task, participants listened to 120 stimulus sentences and were asked to write down what the speakers said. Crucially, each sentence contained one target word that was either phonetically unreduced or phonetically reduced. How well the different groups of listeners understood the speakers (i.e. Intelligibility), and more importantly the unreduced and reduced words, was measured as the number of correctly transcribed target words and was assessed using a linear mixed-effects regression model. In the second experiment, participants completed (i) a demographic and linguistic background questionnaire, (ii) an auditory lexical decision task and (iii) a vocabulary/general proficiency test (LexTALE; cf. Lemhöfer & Broersma, 2012). In the lexical decision task, participants were asked to decide whether a particular target word was a real word in English or a nonword. Participants' lexical decision responses (word vs. nonword) were analyzed using a mixed-effects logistic regression model, and their response times (i.e. time interval between stimulus offset and keypress) were analysed using a linear mixed-effects regression model. R code for the data analysis is provided.Article abstract
This study examines to what extent phonetic reduction in different accents affects intelligibility for non-native (L2) listeners, and if similar reduction processes in listeners’ first language (L1) facilitate the recognition and processing of reduced word forms in the target language. In two experiments, 80 Dutch-speaking and 80 Spanish-speaking learners of English were presented with unreduced and reduced pronunciation variants in native and non-native English speech. Results showed that unreduced words are recognized more accurately and more quickly than reduced words, regardless of whether these variants occur in non-regionally, regionally or non-native accented speech. No differential effect of phonetic reduction on intelligibility and spoken word recognition was observed between Dutch-speaking and Spanish-speaking participants, despite the absence of strong vowel reduction in Spanish. These findings suggest that similar speech processes in listeners’ L1 and L2 do not invariably lead to an intelligibility benefit or a cross-linguistic facilitation effect in lexical access.</p
Simulation data for the NOR-SARAH approach presented at OMAE 2024
The data set contains the necessary simulation files and key output files for the results shown in the related publication. Specifically, the dataset should allow the reproduction of the SWAN, REEF3D::FNPF and REEF3D::CFD simulations. Certain result deviations may occur due to different software versions
Replication Data for: The interplay between prosodic prominence and boundary strength in the production of English checked steady-state vowels
Dataset abstract
This dataset contains the measurements of 210 checked steady-state vowels. Previous studies have shown that suprasegmental factors have an impact on the duration of vowels, such as prosodic boundary strength and the proximity to the end of an intonation unit boundary. To the previous findings, this study adds another potential factor, namely the difference between primary accented, secondary accented, and non-accented syllables. By diversifying between these factors, we seek to establish the actual influence that each factor might have on the duration steady-state vowels, which will be assessed using multiple linear mixed-effects regression models. R code for the data analysis is provided.
Article abstract
This paper studies the effect of prosodic prominence on the production of English checked steady-state vowels. Previous studies found that prosodic factors, such as proximity to a strong prosodic boundary, influence vowel production, but the effect of prosodic prominence has not been studied in sufficient detail. This paper addresses this gap, examining if vowel duration correlates with prosodic prominence, more specifically with a three-way distinction between primary, secondary and non-prominence. This effect is compared to that of proximity to a strong prosodic boundary and to the prosodic boundary strength. This allows us to investigate not only the potential role of prosodic prominence in vowel production but also how it holds up to the previously observed effects of proximity and prosodic boundary strength. The findings provide new insights into the production of English vowels, while also adducing evidence for the relevance of a three-way phonological distinction between primary, secondary and non-prominence.
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Supplementary data to: Comparative Environmental Assessment of Integrated Anaerobic Digestion and Pyrolysis Systems for Sewage Sludge Treatment: Impact Assessment using ReCiPe and USEtox methods
DATASET MIGRATED FROM FIGSHARE: Data for the article: Comparative Environmental Assessment of Integrated Anaerobic Digestion and Pyrolysis Systems for Sewage Sludge Treatment: Impact Assessment using ReCiPe and USEtox methodsThis dataset supports a comparative environmental assessment of integrated anaerobic digestion (AD) and pyrolysis systems for sewage sludge treatment. Six scenarios (S1–S6) are evaluated using ReCiPe and USEtox methods, covering configurations of AD, pyrolysis, and combinations with aqueous pyrolysis liquid (APL) recycling. The data includes process parameters, pollutant concentrations, energy balances, and ecotoxicity results.The scenarios represent both conventional and innovative treatment pathways, including high-rate anaerobic digestion and the reintegration of APL. The dataset captures detailed information on chemical oxygen demand (COD), total solids (TS), methane yields, heating values, and degradation rates of persistent organic pollutants (POPs) such as PFAS, PAHs, PCBs, and PCDD/Fs. It also includes emissions data from pyrolysis. Foreground data is taken from the industrial plant and units already at the facility such as dryer, dewatering unit, and pyrolysis process. In addition, secondary data were retrieved from relevant literature and lab-scale reactor setups.This comprehensive dataset enables reproducibility of life cycle impact assessments and facilitates the development of future sludge valorization strategies. It is particularly valuable for researchers and practitioners working on waste-to-energy systems, circular economy approaches, and environmental risk assessments of emerging treatment technologies.</p
Basal area (BA) map for 2020
This dataset provides a high-resolution (10 m) pan-European map of forest Basal area (BA) for the year 2020, along with an accompanying standard deviation layer. It is part of the PathFinder collection of forest structure maps, which integrates Sentinel-2 satellite imagery, auxiliary geospatial layers, and National Forest Inventory (NFI) data to deliver detailed forest attribute predictions across Europe. The map supports applications in forest management, biomass estimation, carbon accounting, and ecological modeling. For methodology and data integration details, see the documentation dataset of the PathFinder collection (https://doi.org/10.18710/OEYKEG) and the following publication: Miettinen, J., Breidenbach, J. et al. (2025). PathFinder's High-Resolution Pan-European Forest Structure Maps: An Integration of Earth Observation and National Forest Inventory Data. Zenodo. https://doi.org/10.5281/zenodo.17107267
Conifer proportion (of AGB) (P_Con) map for 2024
This dataset provides a high-resolution (10 m) pan-European map of forest Conifer proportion (of AGB) (P_Con) for the year 2024, along with an accompanying standard deviation layer. It is part of the PathFinder collection of forest structure maps, which integrates Sentinel-2 satellite imagery, auxiliary geospatial layers, and National Forest Inventory (NFI) data to deliver detailed forest attribute predictions across Europe. The map supports applications in forest management, biomass estimation, carbon accounting, and ecological modeling. For methodology and data integration details, see the documentation dataset of the PathFinder collection (https://doi.org/10.18710/OEYKEG) and the following publication: Miettinen, J., Breidenbach, J. et al. (2025). PathFinder's High-Resolution Pan-European Forest Structure Maps: An Integration of Earth Observation and National Forest Inventory Data. Zenodo. https://doi.org/10.5281/zenodo.17107267
Search strategies for a scoping review article "Leadership in home care in Scandinavia"
DATASET MIGRATED FROM FIGSHARE: This dataset consists of the search documentation for a scoping review article on nursing leadership in home care in Scandinavia (2010-2023). Contains strategies for the databases CINAHL, Medline, EMBASE, Scopus, SveMed+, Scandinavian library catalogues and research archives.</p
Experimental dataset from the TEMPA-3D project
An asset of 3D models of experimentally produced artifacts related to the TEMPA-3D research project. It includes photogrammetric 3D models of soapstone, sandstone, bone, and antler objects with modified surfaces — including those that have been ground, cut, and sawed.
The dataset consists of 23 3D models and presents both the models themselves and the RAW image data that were used during photogrammetric procedures. The accuracy is approximately 0.2 mm
Background Data for: Structure and Origin of Active Hydrothermal System in NW Svalbard: a Combined Magnetotelluric and Gas-Water Isotope Study
The dataset comprises all Magnetotelluric data and derived products. This includes measured time series in ASCII format, final processed MT transfer functions in EDI format, and the final 3D resistivity model from transfer function data inversion with ModEM