cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7429036
title: Dataset for Named Entity Recognition and Entity Linking from Greek Wikipedia Events

description: An automated benchmark dataset for (Named Entity Recognition) NER and (Named Entity Linking) NEL tools, based on Greek Wikipedia events pages. Note: This data includes data from the following sources:<br> - Wikipedia el.wikipedia.org <strong>Description</strong> The dataset is provided in the form of three JSON-formatted subsets i.e., train, validation and test in an analogy of 70-20-10. The current version of the dataset contains 18,617 events annotated with 40,798 entity mentions and 36,189 links to elWikipedia (and wikidata ids). The dataset contains annotations belonging to 8 entity types: person, organization, location, gpe, event, facility, product and work of art. Overall dataset statistics Docs Tokens Sentences Surface Mentions Valid Links Red Links <strong>Train</strong> 13,031 332,077 16,927 28,593 25,365 3,228 <strong>Validation</strong> 3,722 94,746 4,844 8,168 7,240 928 <strong>Test</strong> 1,862 47,450 2,427 4,037 3,584 453 <strong>Total</strong> 18,617 474,361 24,200 40,798 36,189 4,609 <strong>Example</strong> A record example is given below. { "json_file": "February 2012_39_0 events",<br> "text": "Sudan and South Sudan sign non-aggression pact.",<br> "ground_truth_mentions": [<br> {"start": 0, "end": 4, "surface_mention": "Sudan", "mention_type": "GPE"},<br> {"start": 10, "end": 20, "surface_mention": "South Sudan", "mention_type": "GPE"}<br> ],<br> "ground_truth_links": [<br> {"enwiki": "Sudan","wikidata": "Q1049"},<br> {"enwiki": "South_Sudan", "wikidata": "Q958"}<br> ]<br> } <strong>Code</strong> https://gitlab.isl.ics.forth.gr/debatelab/elwiki_events_benchmark <strong>Acknowledgments</strong> This work has received funding from the Hellenic Foundation for Research and Innovation (HFRI) and the General Secretariat for Research and Technology (GSRT), under grant agreement No 4195.
DOI: 10.5281/zenodo.6906903
title: D-DUST Analysis Ready Data Repository

description: Analysis-ready data repository (<em>D22_ARD_repository_v1_24022022.zip</em>) and Data Management Plan (<em>D22_DMP_v1_22122022.pdf</em>) developed within the D-DUST Project (Data-driven moDelling of particUlate with Satellite Technology aid)
description: This study was performed within the framework of the D-DUST project (Data-driven moDelling of particUlate with Satellite Technology aid), which received support from Fondazione Cariplo (project ID: 2020-4022).
DOI: 10.5281/zenodo.6906902
title: D-DUST Analysis Ready Data Repository

description: Analysis-ready data repository (<em>D22_ARD_repository_v1_24022022.zip</em>) and Data Management Plan (<em>D-DUST_DMP_v1_22122022.pdf</em>) developed within the D-DUST Project (Data-driven moDelling of particUlate with Satellite Technology aid)
description: This study was performed within the framework of the D-DUST project (Data-driven moDelling of particUlate with Satellite Technology aid), which received support from Fondazione Cariplo (project ID: 2020-4022).
DOI: 10.5281/zenodo.7716518
title: D-DUST Analysis Ready Data Repository

description: Analysis-ready data repository (<em>D22_ARD_repository_v1_24022022.zip</em>) and Data Management Plan (<em>D-DUST_DMP_v1_22122022.pdf</em>) developed within the D-DUST Project (Data-driven moDelling of particUlate with Satellite Technology aid)
description: This study was performed within the framework of the D-DUST project (Data-driven moDelling of particUlate with Satellite Technology aid), which received support from Fondazione Cariplo (project ID: 2020-4022).
DOI: 10.5281/zenodo.7755879
title: D-DUST Analysis Ready Data Repository

description: Analysis-ready data repository (<em>D22_ARD_repository_v1_24022022.zip</em>) and Data Management Plan (<em>D-DUST_DMP_v1_22122022.pdf</em>) developed within the D-DUST Project (Data-driven moDelling of particUlate with Satellite Technology aid)
description: This study was performed within the framework of the D-DUST project (Data-driven moDelling of particUlate with Satellite Technology aid), which received support from Fondazione Cariplo (project ID: 2020-4022).
DOI: 10.5281/zenodo.7755931
title: D-DUST Analysis Ready Data Repository

description: Analysis-ready data repository (<em>D22_ARD_repository_v1_24022022.zip</em>) and Data Management Plan (<em>D-DUST_DMP_v1_22122022.pdf</em>) developed within the D-DUST Project (Data-driven moDelling of particUlate with Satellite Technology aid)
description: This study was performed within the framework of the D-DUST project (Data-driven moDelling of particUlate with Satellite Technology aid), which received support from Fondazione Cariplo (project ID: 2020-4022).
DOI: 10.5281/zenodo.7962551
title: D-DUST Analysis Ready Data Repository

description: Analysis-ready data repository (<em>D22_ARD_repository_v1_24022022.zip</em>) and Data Management Plan (<em>D-DUST_DMP_v1_22122022.pdf</em>) developed within the D-DUST Project (Data-driven moDelling of particUlate with Satellite Technology aid)
description: This study was performed within the framework of the D-DUST project (Data-driven moDelling of particUlate with Satellite Technology aid), which received support from Fondazione Cariplo (project ID: 2020-4022).
DOI: 10.5281/zenodo.7962513
title: Dataset for Min-Deviation-Flow in Bi-directed Graphs for T-Mesh Quantization

description: Dataset for the paper <strong>Min-Deviation-Flow in Bi-directed Graphs for T-Mesh Quantization</strong>, <em>Martin Heistermann, Jethro Warnett, David Bommes</em>, ACM Transactions on Graphics, Volume 42, Issue 4 (2023), DOI 10.1145/3592437 Both archive files (.zip and .tar.zst) have identical contents. Contents: Results of running various algorithmus variants on the "300" dataset Intermediate data (e.g., patch decompositions) Final meshes Logfiles Metadata in json format (e.g., utilized settings, achieved energies, detailed runtimes) Meshes used in all figures
DOI: 10.5281/zenodo.7962512
title: Dataset for Min-Deviation-Flow in Bi-directed Graphs for T-Mesh Quantization

description: Dataset for the paper <strong>Min-Deviation-Flow in Bi-directed Graphs for T-Mesh Quantization</strong>, <em>Martin Heistermann, Jethro Warnett, David Bommes</em>, ACM Transactions on Graphics, Volume 42, Issue 4 (2023), DOI 10.1145/3592437 Both archive files (.zip and .tar.zst) have identical contents. Contents: Results of running various algorithmus variants on the "300" dataset Intermediate data (e.g., patch decompositions) Final meshes Logfiles Metadata in json format (e.g., utilized settings, achieved energies, detailed runtimes) Meshes used in all figures
DOI: 10.18712/nsd-nsd2995-v2
title: Quality of Life Survey 2021

description: In the spring of 2021, Statistics Norway conducted a national survey on quality of life. The main purpose of the survey was to gain knowledge about the quality of life in the Norwegian population and to study differences in quality of life among different population groups. The survey covers the following topics: general quality of life, health, social relations, working conditions and environment, economic situations, housing and living environment, social conditions, everyday life and leisure. In addition, some register information has been added afterwards, including information on education, housing, work and income.
DOI: 10.5281/zenodo.7962553
title: pionus_menstruus_zanfona_02.fasta.gz

description: .
DOI: 10.5281/zenodo.7962552
title: pionus_menstruus_zanfona_02.fasta.gz

description: .
DOI: 10.5281/zenodo.7777872
title: Data set of two dual-task paradigms to measure listening effort in cochlear implant users

description: This data set presents the data from the paper by Hendrikse, Dingemanse, & Goedegebure (2022). This study aimed to investigate the feasibility of using listening effort to measure relatively small differences in SNR, as would arise from different hearing-device settings. Listening effort was chosen, because there are indications in literature that listening effort may be more sensitive to differences between hearing-device settings than established speech intelligibility measures. Two behavioral listening effort tests were performed at two signal-to-noise ratios (SNRs) where the intelligibility was high. A sentence final word identification and recall test (SWIRT), and a sentence verification test (SVT) were compared with a group of 18 Dutch CI users. SWIRT measured the ability to recall the final words of sentences after a list of five or seven sentences was presented. The SVT measured the ability and reaction time to determine whether a sentence was true or false. Both tests were conducted in background noise at SNRs +4 dB and +8 dB above the 50% speech perception threshold. The structure of the data files is explained in the README file.
description: Version 2 includes revised R scripts.
description: {"references": ["Adank, P., & Janse, E. (2009). Perceptual learning of time-compressed and natural fast speech. J Acoust Soc Am, 126(5), 2649-2659. doi:10.1121/1.3216914", "Hendrikse, M. M. E., Dingemanse, G., & Goedegebure, A. (2022). On the Feasibility of Using Behavioral Listening Effort Test Methods to Evaluate Auditory Performance in Cochlear Implant Users. preprint. Erasmus MC. Zenodo.", "Janse, E., & Adank, P. (2012). Predicting foreign-accent adaptation in older adults. Q J Exp Psychol (Hove), 65(8), 1563-1585. doi:10.1080/17470218.2012.658822", "Versfeld, N. J., Daalder, L., Festen, J. M., & Houtgast, T. (2000). Method for the selection of sentence materials for efficient measurement of the speech reception threshold. J Acoust Soc Am, 107(3), 1671-1684. doi:10.1121/1.428451"]}
DOI: 10.5281/zenodo.6973725
title: Data set of two dual-task paradigms to measure listening effort in cochlear implant users

description: This data set presents the data from the paper by Hendrikse, Dingemanse, & Goedegebure (2022). This study aimed to investigate the feasibility of using listening effort to measure relatively small differences in SNR, as would arise from different hearing-device settings. Listening effort was chosen, because there are indications in literature that listening effort may be more sensitive to differences between hearing-device settings than established speech intelligibility measures. Two behavioral listening effort tests were performed at two signal-to-noise ratios (SNRs) where the intelligibility was high. A sentence final word identification and recall test (SWIRT), and a sentence verification test (SVT) were compared with a group of 18 Dutch CI users. SWIRT measured the ability to recall the final words of sentences after a list of five or seven sentences was presented. The SVT measured the ability and reaction time to determine whether a sentence was true or false. Both tests were conducted in background noise at SNRs +4 dB and +8 dB above the 50% speech perception threshold. The structure of the data files is explained in the README file.
description: Version 2 includes revised R scripts.
description: {"references": ["Adank, P., & Janse, E. (2009). Perceptual learning of time-compressed and natural fast speech. J Acoust Soc Am, 126(5), 2649-2659. doi:10.1121/1.3216914", "Hendrikse, M. M. E., Dingemanse, G., & Goedegebure, A. (2022). On the Feasibility of Using Behavioral Listening Effort Test Methods to Evaluate Auditory Performance in Cochlear Implant Users. preprint. Erasmus MC. Zenodo.", "Janse, E., & Adank, P. (2012). Predicting foreign-accent adaptation in older adults. Q J Exp Psychol (Hove), 65(8), 1563-1585. doi:10.1080/17470218.2012.658822", "Versfeld, N. J., Daalder, L., Festen, J. M., & Houtgast, T. (2000). Method for the selection of sentence materials for efficient measurement of the speech reception threshold. J Acoust Soc Am, 107(3), 1671-1684. doi:10.1121/1.428451"]}
DOI: 10.5281/zenodo.6973726
title: Data set of two dual-task paradigms to measure listening effort in cochlear implant users

description: This data set presents the data from the paper by Hendrikse, Dingemanse, & Goedegebure (2022). This study aimed to investigate the feasibility of using listening effort to measure relatively small differences in SNR, as would arise from different hearing-device settings. Listening effort was chosen, because there are indications in literature that listening effort may be more sensitive to differences between hearing-device settings than established speech intelligibility measures. Two behavioral listening effort tests were performed at two signal-to-noise ratios (SNRs) where the intelligibility was high. A sentence final word identification and recall test (SWIRT), and a sentence verification test (SVT) were compared with a group of 19 Dutch CI users. SWIRT measured the ability to recall the final words of sentences after a list of five or seven sentences was presented. The SVT measured the ability and reaction time to determine whether a sentence was true or false. Both tests were conducted in background noise at SNRs +4 dB and +8 dB above the 50% speech perception threshold. The structure of the data files is explained in the README file.
description: {"references": ["Adank, P., & Janse, E. (2009). Perceptual learning of time-compressed and natural fast speech. J Acoust Soc Am, 126(5), 2649-2659. doi:10.1121/1.3216914", "Hendrikse, M. M. E., Dingemanse, G., & Goedegebure, A. (2022). On the Feasibility of Using Behavioral Listening Effort Test Methods to Evaluate Cochlear Implant Fitting. preprint. Erasmus MC. Zenodo.", "Janse, E., & Adank, P. (2012). Predicting foreign-accent adaptation in older adults. Q J Exp Psychol (Hove), 65(8), 1563-1585. doi:10.1080/17470218.2012.658822", "Versfeld, N. J., Daalder, L., Festen, J. M., & Houtgast, T. (2000). Method for the selection of sentence materials for efficient measurement of the speech reception threshold. J Acoust Soc Am, 107(3), 1671-1684. doi:10.1121/1.428451"]}
DOI: 10.5281/zenodo.7957338
title: Super-Resolved FRET Imaging by Confocal Fluorescence-Lifetime Single-Molecule Localization Microscopy

description: FRET-based methods are a special tool for detecting interactions between (bio)molecules and their immediate environment. The spatial distribution of molecular interactions and functional states can be seen using FLIM (Fluorescence Lifetime IMaging) and FRET imaging. The spatial information, accuracy, and dynamic range of the observed signals are, however, constrained by the fact that conventional FLIM and FRET imaging only provides average information over an ensemble of molecules within a diffraction-limited volume. On the other hand, conventional Single Molecule Localization Microscopy (SMLM) relies on highly sensitive multi-pixel detectors (e.g. sCMOS or EM-CCD) whose time resolution is not suitable for fluorescence lifetime measurements. Here, we demonstrate a method for obtaining super-resolved FRET imaging using confocal fluorescence-lifetime single-molecule localization microscopy. The proof of concept was carried out using a DNA origami sample for performing DNA-PAINT measurements in combination with fluorogenic probes for reducing background signal. With this method, We show that FRET events separated by sub-diffraction distances can be distinguished based on lifetime modifications.
DOI: 10.5281/zenodo.7957337
title: Super-Resolved FRET Imaging by Confocal Fluorescence-Lifetime Single-Molecule Localization Microscopy

description: FRET-based methods are a special tool for detecting interactions between (bio)molecules and their immediate environment. The spatial distribution of molecular interactions and functional states can be seen using FLIM (Fluorescence Lifetime IMaging) and FRET imaging. The spatial information, accuracy, and dynamic range of the observed signals are, however, constrained by the fact that conventional FLIM and FRET imaging only provides average information over an ensemble of molecules within a diffraction-limited volume. On the other hand, conventional Single Molecule Localization Microscopy (SMLM) relies on highly sensitive multi-pixel detectors (e.g. sCMOS or EM-CCD) whose time resolution is not suitable for fluorescence lifetime measurements. Here, we demonstrate a method for obtaining super-resolved FRET imaging using confocal fluorescence-lifetime single-molecule localization microscopy. The proof of concept was carried out using a DNA origami sample for performing DNA-PAINT measurements in combination with fluorogenic probes for reducing background signal. With this method, We show that FRET events separated by sub-diffraction distances can be distinguished based on lifetime modifications.
DOI: 10.6084/m9.figshare.23058920
title: Mechanical and microstructural data for the manuscript "Microstructural controls on the uniaxial compressive strength of porous rocks through the granular to non-granular transition"

description: This file provides the data upon which the manuscript "Microstructural controls on the uniaxial compressive strength of porous rocks through the granular to non-granular transition" is based. This file contains: - text files (.txt) with mechanical data from deformation experiments performed under uniaxial conditions, where the name of the file gives the sample name and the experimental conditions; - scanning electron microscopes (SEM) images (.tif) of the features observed in deformed samples, where the name of the file gives the name of the sample and the parameters used on the SEM are given on the picture itselft; - a word document (.docx) giving the details of the mechanical results obtained for each uniaxial experiment.
DOI: 10.6084/m9.figshare.23058920.v1
title: Mechanical and microstructural data for the manuscript "Microstructural controls on the uniaxial compressive strength of porous rocks through the granular to non-granular transition"

description: Mechanical data
DOI: 10.17028/rd.lboro.23097932
title: Supplementary information files for Exploring factors influencing willingness of older adults to use assistive technologies: evidence from the cognitive function and ageing study II

description: Supplementary files for article Exploring factors influencing willingness of older adults to use assistive technologies: evidence from the cognitive function and ageing study II Technology is widely promoted as a solution to greater independence and better health for the rapidly growing UK older population. If this is to be realised, we need to understand barriers and facilitators to uptake and investigate who wants this technology and who does not express an interest in use. This analysis is based on data from a population-based cohort study, the Cognitive Function and Ageing Study (CFAS)-II, which focused on brain health in older people and included questions about access to- and interest in- internet technologies. The factors affecting willingness to use technologies that support memory and ADL were identified using binary logistic regression analysis. 541 people aged 75 years and older from Cambridgeshire, Nottingham and Newcastle responded. Older adults were more willing to use technologies directed towards improving memory (65%) than towards ADL supportive technologies (38%). Regression analysis showed that an older age (OR = 0.64, 95% CI = 0.34–0.98), female gender (OR = 0.64, 95% CI = 0.42–0.99), no access to technology including laptops and tablets (OR = 0.48, 95% CI = 0.32–0.72), and self-reported physically less slowing down (but no objective health indicators) (OR = 0.57, 95% CI = 0.36–0.88) were strongly associated with UK older adults’ lesser willingness to use memory assistive technologies while not having access to laptops and tablets (OR = 0.57, 95% CI = 0.39–0.84) was associated with willingness to use ADL supportive technologies. Older people, females and those with less access to technologies should be considered as target groups by healthcare providers, policymakers, and technology producers to promote technology and support healthy and independent ageing.
DOI: 10.17028/rd.lboro.23097932.v1
title: Supplementary information files for Exploring factors influencing willingness of older adults to use assistive technologies: evidence from the cognitive function and ageing study II

description: Supplementary files for article Exploring factors influencing willingness of older adults to use assistive technologies: evidence from the cognitive function and ageing study II Technology is widely promoted as a solution to greater independence and better health for the rapidly growing UK older population. If this is to be realised, we need to understand barriers and facilitators to uptake and investigate who wants this technology and who does not express an interest in use. This analysis is based on data from a population-based cohort study, the Cognitive Function and Ageing Study (CFAS)-II, which focused on brain health in older people and included questions about access to- and interest in- internet technologies. The factors affecting willingness to use technologies that support memory and ADL were identified using binary logistic regression analysis. 541 people aged 75 years and older from Cambridgeshire, Nottingham and Newcastle responded. Older adults were more willing to use technologies directed towards improving memory (65%) than towards ADL supportive technologies (38%). Regression analysis showed that an older age (OR = 0.64, 95% CI = 0.34–0.98), female gender (OR = 0.64, 95% CI = 0.42–0.99), no access to technology including laptops and tablets (OR = 0.48, 95% CI = 0.32–0.72), and self-reported physically less slowing down (but no objective health indicators) (OR = 0.57, 95% CI = 0.36–0.88) were strongly associated with UK older adults’ lesser willingness to use memory assistive technologies while not having access to laptops and tablets (OR = 0.57, 95% CI = 0.39–0.84) was associated with willingness to use ADL supportive technologies. Older people, females and those with less access to technologies should be considered as target groups by healthcare providers, policymakers, and technology producers to promote technology and support healthy and independent ageing.