cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7428377
title: Data for Project 'Feasibility, Usability and Acceptance of a Newly Developed Exergame-Based Training Concept for Older Adults with Mild Neurocognitive Disorder - A Pilot Randomized Controlled Trial'

description: Data for Project 'Feasibility, Usability and Acceptance of a Newly Developed Exergame-Based Training Concept for Older Adults with Mild Neurocognitive Disorder - A Pilot Randomized Controlled Trial' (trial registered at clinicaltrials.gov (NCT04996654; date of registration: 11 July 2021), consisting of: (1) the original and complete data set for all primary outcomes ('Data_Primary-Outcomes_Brain-IT-Pilot-Feasibility-RCT_for-publication.xlsx'); (2) the original and complete data set for all secondary outcomes ('Data_Secondary-Outcomes_Brain-IT-Pilot-Feasibility-RCT_for-publication.xlsx'); (3) the original and complete data set for all other outcomes (i.e. baseline factors (demographic data, type of usual care interventions) and training heart rate; 'Data_Other-Outcomes_Brain-IT-Pilot-Feasibility-RCT_for-publication.xlsx'); (4) folder including the raw and processed heart rate variability (HRV) and electroencephalography (EEG) data for all participants and measurements (HRV-and-EEG_raw-and-processed-data.zip); (5) a corresponding README file including (a) general information, (b) data and file overview, (c) sharing and access information, (d) methodological information, and (e) data-specific information.
DOI: 10.26302/sshade/experiment_gp_20181107_001
title: Pt L3 edge XAS HERFD and XAS transmission of platinum hydrogensulfide complexes in geological fluids (impact of sulfur on the transfer of noble metals by hydrothermal fluids)

description: Platinum oxide, chloride, sulfide and polysulfide phases; fluorescence and transmission; 25°C 1 bar
DOI: 10.5281/zenodo.7432517
title: Electronic Companion -- Optimal Management of Distribution-Connected Assets Operating under Carbon and Energy Day-Ahead Markets

description: This release is associated with a paper entitled "Optimal Management of Distribution-Connected Assets Operating under Carbon and Energy Day-Ahead Markets". In this document, we provide information regarding the transmission and distribution power systems adopted to present the results shown in the paper. These systems are modified versions of the IEEE 14-bus and the IEEE 34-bus, respectively. Five dispatchable generators were added to the distribution system and 13 load shapes were considered. The data regarding the costs and physical parameters of each of the power system's elements are provided in this document.
DOI: 10.5281/zenodo.7432516
title: Electronic Companion -- Optimal Management of Distribution-Connected Assets Operating under Carbon and Energy Day-Ahead Markets

description: This release is associated with a paper entitled "Optimal Management of Distribution-Connected Assets Operating under Carbon and Energy Day-Ahead Markets". In this document, we provide information regarding the transmission and distribution power systems adopted to present the results shown in the paper. These systems are modified versions of the IEEE 14-bus and the IEEE 34-bus, respectively. Five dispatchable generators were added to the distribution system and 13 load shapes were considered. The data regarding the costs and physical parameters of each of the power system's elements are provided in this document.
DOI: 10.6084/m9.figshare.21716789
title: Contrasting effects of frugivore assemblages and phylogeny on global variation in fruit length and width

description: Nowadays, the evolution of fruit size is still poorly understood though theories of coevolution between fleshy fruits and frugivores have long pointed out the effects of different-sized frugivores and phylogeny. We compile a global-scale dataset on fruit traits of 312 fleshy-fruited plants and frugivore body size from over 300 interaction networks exposed to very different suites of frugivores, and reveal a global positive relationship between frugivore body size and fruit size, i.e., length and width. Using partial R2s model that accounts for species’ shared evolutionary histories, we first show that global variation in fruit width is explained by frugivorous assemblages rather than phylogeny and leaf area. Despite significant evolutionary correlation between fruit length and width, fruit length appears to be more phylogenetically constrained and less sensitive to frugivore-driven selection than width. Our large-scale study provides first evidence of strong phylogenetic constraints of fruit length and frugivore-driven selection on fruit width, providing a novel mechanistic explanation for better understanding the evolution of fruit size across fleshy-fruited plant species.
DOI: 10.14284/582
title: PROBIO: LC-MS data of 50 North Sea species with potential bioactive compounds

description: PROBIO project dataset: LC-MS data of 50 North Sea species with potential bioactive compounds.
description: In the framework of the PROBIO project, which provides a knowledge base on bioactive compounds from marine organisms present in the Belgian Part of the North Sea, fifty North Sea species containing possibly bioactive compounds with commercial potential were identified and collected for screening. A high-throughput screening of extracted compounds was performed and an open-source comprehensive database was created, combining structural, (analytical) mass spectral, biological activity information of the compounds. This dataset contains the data of the LC-MS screening, which was performed by the Metabolomics Core Ghent (MCG) of the Flanders Institute for Biotechnology (VIB). JSON data files can be opened in Phantasus: https://artyomovlab.wustl.edu/phantasus/
DOI: 10.14284/583
title: PROBIO: GC-MS data of 50 North Sea species with potential bioactive compounds

description: PROBIO project dataset: GC-MS data of 50 North Sea species with potential bioactive compounds.
description: In the framework of the PROBIO project, which provides a knowledge base on bioactive compounds from marine organisms present in the Belgian Part of the North Sea, fifty North Sea species containing possibly bioactive compounds with commercial potential were identified and collected for screening. A high-throughput screening of extracted compounds was performed and an open-source comprehensive database was created, combining structural, (analytical) mass spectral, biological activity information of the compounds. This dataset contains the data of the GC-MS screening, which was performed by the Metabolomics Core Ghent (MCG) of the Flanders Institute for Biotechnology (VIB). JSON data files can be opened in Phantasus: https://artyomovlab.wustl.edu/phantasus/
DOI: 10.6084/m9.figshare.21716807
title: Data repository for our publication: "In-silico device performance prediction of co-sensitizer dye pairs for dye-sensitized solar cells"

description: Data repository for our publication: "In-silico device performance prediction of co-sensitizer dye pairs for dye-sensitized solar cells"
DOI: 10.5281/zenodo.6519264
title: Song Interpretation Dataset

description: The Song Interpretation Dataset combines data from two sources: (1) music and metadata from the Music4All Dataset and (2) lyrics and user interpretations from SongMeanings.com. We design a music metadata-based matching algorithm that aligns matching items in the two datasets with each other. In the end, we successfully match 25.47% of the tracks in the Music4All Dataset. The dataset contains audio excerpts from 27,834 songs (30 seconds each, recorded at 44.1 kHz), the corresponding music metadata, about 490,000 user interpretations of the lyric text, and the number of votes given for each of these user interpretations. The average length of the interpretations is 97 words. Music in the dataset covers various genres, of which the top 5 are: Rock (11,626), Pop (6,071), Metal (2,516), Electronic (2,213) and Folk (1,760). For more details, please refer to our paper "Interpreting Song Lyrics with an Audio-Informed Pre-trained Language Model".
DOI: 10.5281/zenodo.7019124
title: Song Interpretation Dataset

description: The Song Interpretation Dataset combines data from two sources: (1) music and metadata from the Music4All Dataset and (2) lyrics and user interpretations from SongMeanings.com. We design a music metadata-based matching algorithm that aligns matching items in the two datasets with each other. In the end, we successfully match 25.47% of the tracks in the Music4All Dataset. The dataset contains audio excerpts from 27,834 songs (30 seconds each, recorded at 44.1 kHz), the corresponding music metadata, about 490,000 user interpretations of the lyric text, and the number of votes given for each of these user interpretations. The average length of the interpretations is 97 words. Music in the dataset covers various genres, of which the top 5 are: Rock (11,626), Pop (6,071), Metal (2,516), Electronic (2,213) and Folk (1,760). For more details, please refer to our paper "Interpreting Song Lyrics with an Audio-Informed Pre-trained Language Model".
DOI: 10.6084/m9.figshare.19188674
title: association results from trans ethnic meta analysis

description: We performed a trans-ethnic Epigenome Wide Association study on 22,774 individuals to describe the DNA methylation signature of chronic low-grade inflammation as measured by C-Reactive protein (CRP). We find 1,511 independent differentially methylated loci associated with CRP. These CpG sites show correlation structures across chromosomes, and are primarily situated in euchromatin, depleted in CpG islands. These genomic loci are predominantly situated in transcription factor binding sites and genomic enhancer regions. Mendelian randomisation analysis suggests altered CpG methylation is a consequence of increased blood CRP levels. Mediation analysis reveals obesity and smoking as important underlying driving factors for changed CpG methylation. Finally, we find that an activated CpG signature significantly increases the risk for cardiometabolic diseases and COPD.
DOI: 10.5281/zenodo.7431632
title: Plant virus SNP prediction artificial dataset Performance Study

description: Recent developments in high-throughput sequencing (HTS) technologies and bioinformatics have drastically changed research on viral pathogens, especially for virus discovery and monitoring. Indeed, proper monitoring of the viral population requires information on the different isolates circulating in the studied area. For this purpose, HTS technologies have greatly facilitated the generation of new genomes of the detected viruses and their comparison. Nevertheless, the bioinformatics analyses allowing the reconstruction of genomes and the detection of Single Nucleotide Polymorphisms (SNPs) can potentially create bias, although it has not been widely addressed so far. Therefore, more knowledge is required on the limitation and possibility of predicting SNPs based on HTS-generated sequence datasets. To address this issue, we compared the ability of 14 plant virology laboratories, each employing a different bioinformatics pipeline, to detect 21 variants of pepino mosaic virus (PepMV) through large-scale Performance Testing (PT) using three artificially designed datasets. The bioinformatics analyses were divided into three key steps: reads pre-processing (quality trimming, merging …), virus identification (assembly, alignment, mapping …) and variant calling. Each step was evaluated independently through an original, step-by-step PT design with iteration between participants. Overall, this work underlines key parameters in SNP detection and proposes recommendations for reliable variant calling for plant viruses. The identification of the closest reference, mapping parameters and manual validation of the prediction were the most impactful analysis step for the success or failure of the predictions. Strategies to improve SNPs prediction are also discussed.
description: This project has received funding from the European Union's Horizon2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement n° 813542
DOI: 10.5281/zenodo.7431631
title: Plant virus SNP prediction artificial dataset Performance Study

description: Recent developments in high-throughput sequencing (HTS) technologies and bioinformatics have drastically changed research on viral pathogens, especially for virus discovery and monitoring. Indeed, proper monitoring of the viral population requires information on the different isolates circulating in the studied area. For this purpose, HTS technologies have greatly facilitated the generation of new genomes of the detected viruses and their comparison. Nevertheless, the bioinformatics analyses allowing the reconstruction of genomes and the detection of Single Nucleotide Polymorphisms (SNPs) can potentially create bias, although it has not been widely addressed so far. Therefore, more knowledge is required on the limitation and possibility of predicting SNPs based on HTS-generated sequence datasets. To address this issue, we compared the ability of 14 plant virology laboratories, each employing a different bioinformatics pipeline, to detect 21 variants of pepino mosaic virus (PepMV) through large-scale Performance Testing (PT) using three artificially designed datasets. The bioinformatics analyses were divided into three key steps: reads pre-processing (quality trimming, merging …), virus identification (assembly, alignment, mapping …) and variant calling. Each step was evaluated independently through an original, step-by-step PT design with iteration between participants. Overall, this work underlines key parameters in SNP detection and proposes recommendations for reliable variant calling for plant viruses. The identification of the closest reference, mapping parameters and manual validation of the prediction were the most impactful analysis step for the success or failure of the predictions. Strategies to improve SNPs prediction are also discussed.
description: This project has received funding from the European Union's Horizon2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement n° 813542
DOI: 10.5281/zenodo.7361024
title: Ecological Niche Models of 1508 European Species with Artificial Neural Networks, Maximum Entropy, and Support Vector Machines at 0.5° Resolution

description: Native ecological niche models of 1508 European species (894 fish and 614 non fish) developed with AquaMaps, Artificial Neural Networks, Maximum Entropy, and Support Vector Machines, under RCP 2.6, 4.5, and 8.5 scenarios in 2019, 2050, and 2100, at 0.5° spatial resolution.
DOI: 10.5281/zenodo.7361228
title: Ecological Niche Models of 1508 European Species with Artificial Neural Networks, Maximum Entropy, and Support Vector Machines at 0.5° Resolution

description: Native ecological niche models of 1508 European species (894 fish and 614 non fish) developed with AquaMaps, Artificial Neural Networks, Maximum Entropy, and Support Vector Machines, under RCP 2.6, 4.5, and 8.5 scenarios in 2019, 2050, and 2100, at 0.5° spatial resolution.
DOI: 10.5281/zenodo.7361234
title: Ecological Niche Models of 1508 European Species with Artificial Neural Networks, Maximum Entropy, and Support Vector Machines at 0.5° Resolution

description: Native ecological niche models of 1508 European species (894 fish and 614 non fish) developed with AquaMaps, Artificial Neural Networks, Maximum Entropy, and Support Vector Machines, under RCP 2.6, 4.5, and 8.5 scenarios in 2019, 2050, and 2100, at 0.5° spatial resolution.
DOI: 10.5281/zenodo.7406816
title: Dataset to Model the Sustainability of a Primary School Digital Education Curricular Reform and Professional Development Program

description: This dataset contains the quantitative teacher data used to analyse the sustainability of an in-service teacher training program for Digital Education that took place from September 2019 to March 2020 in the Canton Vaud in Switzerland. As such, the study follows up on the 350 teachers over a year after the end of their professional development program had ended in order to model the sustainability of the reform, understand to what extent sustainability had been reached, thus validating the curricular reform model and helping draw recommendations for researchers and practitioners involved in Digital Education curricular reforms. As such, approximately 290 teachers from grades 1-4 in primary school (ages 5-9) responded to two sustainability surveys using web-based questionnaire to provide information relating to their perception of the training sessions and adoption of the computer science activities. The study is accepted for publication in Education and Information Technologies. A README is included and provides additional information regarding : - the requirements for re-use. - the specific content of the 2 csv files
DOI: 10.6084/m9.figshare.21716902
title: S3: Stratigraphic expression of human impacts in condensed deposits of the Northern Adriatic Sea

description: Micro-XRF core scanning data
DOI: 10.6084/m9.figshare.21716902.v1
title: S3: Stratigraphic expression of human impacts in condensed deposits of the Northern Adriatic Sea

description: Micro-XRF core scanning data
DOI: 10.6084/m9.figshare.21716905
title: S5: Stratigraphic expression of human impacts in condensed deposits of the Northern Adriatic Sea

description: Shell size data of <i>Varicorbula gibba</i>
DOI: 10.6084/m9.figshare.21716905.v1
title: S5: Stratigraphic expression of human impacts in condensed deposits of the Northern Adriatic Sea

description: Shell size data of <i>Varicorbula gibba</i>
DOI: 10.6084/m9.figshare.21716908
title: S1: Stratigraphic expression of human impacts in condensed deposits of the Northern Adriatic Sea

description: Bulk geochemistry data with p-values, person correlation values and PCA loadings
DOI: 10.6084/m9.figshare.21716908.v1
title: S1: Stratigraphic expression of human impacts in condensed deposits of the Northern Adriatic Sea

description: Bulk geochemistry data with p-values, person correlation values and PCA loadings
DOI: 10.6084/m9.figshare.21716911
title: S4: Stratigraphic expression of human impacts in condensed deposits of the Northern Adriatic Sea

description: Palaeobiological data (species list)
DOI: 10.6084/m9.figshare.21716911.v1
title: S4: Stratigraphic expression of human impacts in condensed deposits of the Northern Adriatic Sea

description: Palaeobiological data (species list)
DOI: 10.6084/m9.figshare.21716914
title: S2: Stratigraphic expression of human impacts in condensed deposits of the Northern Adriatic Sea

description: Age data of two corbulid bivalves, a rhodolith and plant remains
DOI: 10.6084/m9.figshare.21716914.v1
title: S2: Stratigraphic expression of human impacts in condensed deposits of the Northern Adriatic Sea

description: Age data of two corbulid bivalves, a rhodolith and plant remains
DOI: 10.25413/sun.21716705
title: Responsible leadership dilemmas and paradoxes - Data Documentation

description: Data documentation for <strong>Paradoxes and dilemmas</strong> <strong>of responsible leadership in the mining industries of emerging economies – it is complex</strong>
DOI: 10.25413/sun.21617712
title: Responsible leadership dilemmas and paradoxes

description: Data set for <strong>Paradoxes and dilemmas</strong> <strong>of responsible leadership in the mining industries of emerging economies – it is complex</strong> <br>
DOI: 10.6084/m9.figshare.21304692
title: Utility of a three-gene transcriptomic signature in the diagnosis of tuberculosis in a low-endemic hospital setting

description: Host transcriptomic blood signatures have demonstrated diagnostic potential for tuberculosis (TB), requiring further validation across different geographical settings. Discriminating TB from other diseases with similar clinical manifestations is crucial for the development of an accurate immunodiagnostic tool. In this exploratory cohort study, we evaluated the performance of potential blood-based transcriptomic signatures in distinguishing TB disease from non-TB lower respiratory tract infections in hospitalised patients in a TB low-endemic country. Quantitative real-time polymerase chain reaction qPCR) was used to evaluate 26 previously published genes in blood from 31 patients (14 TB and 17 lower respiratory tract infection cases) admitted to Oslo University Hospital in Norway. The diagnostic accuracies of differentially expressed genes were determined by receiver operating characteristic curves. A significant difference (<i>p</i> &lt; .01) in the age distribution was observed between patients with TB (mean age, 40 ± 15 years) and lower respiratory tract infection (mean age 59 ± 12 years). Following adjustment for age, <i>ETV7, GBP1, GBP5, P2RY14</i> and <i>BLK</i> were significantly differentially expressed between patients with TB and those with LRI. A general discriminant analysis generated a three-gene signature (<i>BAFT2, ETV7</i> and <i>CD1C</i>), which diagnosed TB with an area under the receiver operating characteristic curve (AUC) of 0.86 (95% CI, 0.69 − 1.00), sensitivity of 69.23% (95% CI, 38.57%−90.91%) and specificity of 94.12% (95% CI, 71.31%−99.85%). The three-genes signature may have potential to improve diagnosis of TB in a hospitalised low-burden setting. However, the influence of confounding variables or covariates such as age requires further evaluation in larger studies.
DOI: 10.6084/m9.figshare.21304692.v1
title: Utility of a three-gene transcriptomic signature in the diagnosis of tuberculosis in a low-endemic hospital setting

description: Host transcriptomic blood signatures have demonstrated diagnostic potential for tuberculosis (TB), requiring further validation across different geographical settings. Discriminating TB from other diseases with similar clinical manifestations is crucial for the development of an accurate immunodiagnostic tool. In this exploratory cohort study, we evaluated the performance of potential blood-based transcriptomic signatures in distinguishing TB disease from non-TB lower respiratory tract infections in hospitalised patients in a TB low-endemic country. Quantitative real-time polymerase chain reaction qPCR) was used to evaluate 26 previously published genes in blood from 31 patients (14 TB and 17 lower respiratory tract infection cases) admitted to Oslo University Hospital in Norway. The diagnostic accuracies of differentially expressed genes were determined by receiver operating characteristic curves. A significant difference (<i>p</i> &lt; .01) in the age distribution was observed between patients with TB (mean age, 40 ± 15 years) and lower respiratory tract infection (mean age 59 ± 12 years). Following adjustment for age, <i>ETV7, GBP1, GBP5, P2RY14</i> and <i>BLK</i> were significantly differentially expressed between patients with TB and those with LRI. A general discriminant analysis generated a three-gene signature (<i>BAFT2, ETV7</i> and <i>CD1C</i>), which diagnosed TB with an area under the receiver operating characteristic curve (AUC) of 0.86 (95% CI, 0.69 − 1.00), sensitivity of 69.23% (95% CI, 38.57%−90.91%) and specificity of 94.12% (95% CI, 71.31%−99.85%). The three-genes signature may have potential to improve diagnosis of TB in a hospitalised low-burden setting. However, the influence of confounding variables or covariates such as age requires further evaluation in larger studies.