cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/zdgyx5mf9t.1
title: ERP study on the empathic processing of complaining speech

description: Data and stimuli examples from ERP experiment on the empathic processing of complaining speech.


Data and Codes - File breakdown:

CESC_GrandAverage_RIDE1200.erp: Grand Average ERP file, to open with EEGlab/ERPlab. 
				Epoched 1200ms, artifact corrected and removed, bins assigned and RIDe-corrected.
				The bins of interest are bins 10 to 13.

CESC_PCA_Onset_TS.ept: PCA main file, to open using EPtoolkit.
			This file contains all PCA factors and information

PCA_analysis.r: Statistical analysis of the PCA data (using files listed below), to open with R/RStudio

CESC_PCA_Onset-TFxSFx.txt: the windowed voltage estimation of peak channel at peak time for each condition for the corresponding factor.
CESC_PCA_Onset-TFxSFx_all.txt: the windowed voltages of all channels for each condition for the corresponding factor.

TFloadings.txt: Temporal factor loadings

Participant_behavior.csv: Summarized behavioral ratings for each participant

Posttest_summary.csv: Summarize individual data for IRI scales and explicit biases

Results_IAT.csv: Summarized results from the Implicit Association Test


CESC1_EEG_BehavioralAnalysis.r: Statistical analysis of the Behavioral data data (using files listed below), to open with R/RStudio

CESC_Behavioral_data.csv: Data from the behavioral ratings
DOI: 10.17632/zdgyx5mf9t.2
title: ERP study on the empathic processing of complaining speech

description: Data and stimuli examples from ERP experiment on the empathic processing of complaining speech.


Data and Codes - File breakdown:

CESC_GrandAverage_RIDE1200.erp: Grand Average ERP file, to open with EEGlab/ERPlab. 
				Epoched 1200ms, artifact corrected and removed, bins assigned and RIDe-corrected.
				The bins of interest are bins 10 to 13.

CESC_PCA_Onset_TS.ept: PCA main file, to open using EPtoolkit.
			This file contains all PCA factors and information

PCA_analysis.r: Statistical analysis of the PCA data (using files listed below), to open with R/RStudio

CESC_PCA_Onset-TFxSFx.txt: the windowed voltage estimation of peak channel at peak time for each condition for the corresponding factor.
CESC_PCA_Onset-TFxSFx_all.txt: the windowed voltages of all channels for each condition for the corresponding factor.

TFloadings.txt: Temporal factor loadings

Participant_behavior.csv: Summarized behavioral ratings for each participant

Posttest_summary.csv: Summarize individual data for IRI scales and explicit biases

Results_IAT.csv: Summarized results from the Implicit Association Test


CESC1_EEG_BehavioralAnalysis.r: Statistical analysis of the Behavioral data data (using files listed below), to open with R/RStudio

CESC_Behavioral_data.csv: Data from the behavioral ratings
DOI: 10.17632/zdgyx5mf9t.3
title: ERP study on the empathic processing of complaining speech

description: Data and stimuli examples from ERP experiment on the empathic processing of complaining speech.
DOI: 10.17632/dp58jkhy8g.1
title: Sentiment in Machine Translation of Slovak Movie Subtitles

description: The dataset represents the processed movie subtitle data adjusted for sentiment analysis, which was implemented using IBM Watson Natural Language Understanding (IBM NLU). The source data contains Slovak and English subtitles from 10 movies, which are matched into pairs. Each of the subtitles is matched with a machine translation generated using Google Translate and identified sentiment score using the OpenAI GPT model. In the next matrix, the results of the sentiment analysis from IBM NLU service for each segment are processed. The third file contains the results of validating the accuracy and error rates of the machine translations from the BLEU and TER metrics.
DOI: 10.17632/jdnkfgv72h.1
title: Evolution of neuropsychiatric symptoms in patients convalescing from COVID-19 during their hospitalization in a tertiary care center in Mexico

description: The database contains information about hospitalized COVID-19 patients in Mexico during 2020. It includes clinical and biochemical variables, as well as data on the severity of depressive and anxiety symptoms, information about delirium, and cognitive impairment.
DOI: 10.17632/h7y37bz5py.1
title: Robustimizer design of experiments database

description: This dataset includes the design of experiments that are used in the simulations performed using Robustimizer.
DOI: 10.17632/bzpytwcy88.1
title: RESEARCH DATA: ALGORITHMIC LITERACY SCRIPTS

description: The basic parameters and requirements for creating codes for web scraping are: (communicating in natural language description of a programming problem as input in English and code with the AI code generating solution as output, specifying the Python 3.11 version, using the Pycharm compiler, and installing the following Python libraries.
DOI: 10.15156/bio/2938076
title: UNITE mothur release for Fungi 2

description: Three sets of mothur files are released, corresponding to the SHs resulting from clustering at the 3% distance (97% similarity) and 1% distance (99%) threshold levels. The third set of files is the result of a dynamic use of clustering thresholds, such that some SHs are delimited at the 3% distance level, some at the 2.5% distance level, some at the 2% distance level, and so on; these choices were made manually by experts of those particular lineages of fungi. The syntax is the same throughout the three sets of files. Includes global and 3% distance singletons.
DOI: 10.6084/m9.figshare.23812830.v3
title: Development of global monthly dataset of CMIP6 climate variables for estimating evapotranspiratio

description: Regridding Global CMIP6 GCMs dataset(0.5 degree)Historical dataset:14 CMIP6 GCMs (1850-2014)Future dataset: 14CMIP6 GCMs and 4 SSP scenarios (2015-2100)Composition of dataset: Average temperature, Maximum temperature, Minimum temperature, Windspeed, Relative humidity, Solar radiationIf you are using our codes and dataset, please use the following references:Song, Y.H., Chung, E.S., Shahid, S., Kim, Y.J., Kim, D.K. 2023. Development of global monthly dataset of CMIP6 climate variables for estimating evapotranspiration. Scientific Data.<br>
DOI: 10.17632/k2vw4r7scb.1
title: LINF_330022000

description: protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/h46rm5592c.1
title: Supplementary material

description: Supplementary material
DOI: 10.17632/twmmkfyrg2.1
title: Data for: An Experimental Study on Quartz Solubility in Water under Supercritical Geothermal Conditions

description: Raw data for all figures in the manuscript by Zhong et al to be published by Geochimica et Cosmochimica Acta as "An Experimental Study on Quartz Solubility in Water under Supercritical Geothermal Conditions"
DOI: 10.17632/bmnftmngxd.1
title: Cocoa flavour precursors: scientometrics analysis based on peptidomics and metabolomics

description: The .bib data correspond to the full record and cited references of Scopus search. The .txt data correspond to the full reord and cited references of Web of Science (WoS) search. The xlsx is the merged data of both Scopus and WoS
DOI: 10.17632/hdpmjgx8rg.1
title: BoneMechDamage

description: This data belongs to the manuscript "Elasto-visco-plastic-damage behavior of cortical and trabecular bone of human proximal femur in elderly and osteoporosis". The raw stress-strain data are provided for cyclic tensile tests of individual trabeculae and cortical bone tissue. Samples were obtained from body donors without any known bone disease and from those who sustained a low-trauma (osteoporotic) fracture of the hip. Data were evaluated with an elasto-visco-plastic-damage rheological model and presented as stress-strain figures for each sample individually. Further, evaluated material parameters are summarized in a table. Hereby, data of all samples is presented in one sheet, and outlier-removed data (IQR-test based, first for RMSE and then for each variable separately) in a second sheet.
DOI: 10.17632/hdpmjgx8rg.2
title: BoneMechDamage

description: This data belongs to the manuscript "Osteoporosis affects cortical and trabecular mechanical properties in femoral neck differently and minorly". The raw stress-strain data are provided for cyclic tensile tests of individual trabeculae and cortical bone tissue. Samples were obtained from body donors without any known bone disease and from those who sustained a low-trauma (osteoporotic) fracture of the hip. Data were evaluated with an elasto-visco-plastic-damage rheological model and presented as stress-strain figures for each sample individually. Further, evaluated material parameters are summarized in a table. Hereby, data of all samples is presented in one sheet, and outlier-removed data (IQR-test based, first for RMSE and then for each variable separately) in a second sheet.
DOI: 10.17632/njvcdh6mkz.1
title: Raw Research data

description: Raw data & questionnaire
DOI: 10.17632/6vvck7j4cy.1
title: Managerial Decisions and Team Performance: Evidence from Professional Elite Soccer

description: Using detailed tournament data from four sources on 76 distinct managers coaching 34 teams in 1,580 matches covering ten seasons of the Italian male soccer premier league (“Serie A”), we provide field evidence on the impact of managerial decisions on team performance. We document that managers’ perseverance in playing style is positively related to team outcomes. Our core findings are robust to a battery of checks. By shedding light on key features of decision-making in a high-powered incentives industry where managers receive frequent feedback, our results corroborate and help qualify the “managers matter” view advanced in prior research.
DOI: 10.17632/ntjc2j67n4.1
title: NEUROFINANCE – AN UNDERSTANDING AND ASSESSMENT OF BIOLOGICAL DIFFERENCES WITH SPECIAL FOCUS ON GENDER DIFFERENCES FOR PREDICTING THE BEHAVIOR AND PERFORMANCE OF INVESTORS

description: Neurofinance explains how individual differences like gender, genes, neuroanatomy, and personality affect financial decisions. An attempt has been made in this paper to understand the biological differences with special focus on gender difference for predicting the behaviour and performance of investors. The study is descriptive in nature and it identified that women are perhaps more risk seekers or takers in societal decision making. High risk aversion is associated with low in-utero testosterone exposure in women. In comparison to that in men risk taking for gains is positively related to basal (salivary) testosterone.
DOI: 10.17632/ntjc2j67n4.2
title: NEUROFINANCE – AN UNDERSTANDING AND ASSESSMENT OF BIOLOGICAL DIFFERENCES WITH SPECIAL FOCUS ON GENDER DIFFERENCES FOR PREDICTING THE BEHAVIOR AND PERFORMANCE OF INVESTORS

description: Neurofinance explains how individual differences like gender, genes, neuroanatomy, and personality affect financial decisions. An attempt has been made in this paper to understand the biological differences with special focus on gender difference for predicting the behaviour and performance of investors. The study is descriptive in nature and it identified that women are perhaps more risk seekers or takers in societal decision making. High risk aversion is associated with low in-utero testosterone exposure in women. In comparison to that in men risk taking for gains is positively related to basal (salivary) testosterone.
DOI: 10.26050/wdcc/ar6.c6cmnkk1
title: IPCC DDC: NIMS-KMA KACE1.0-G model output prepared for CMIP6 CMIP

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.CMIP.NIMS-KMA.KACE-1-0-G' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The KACE1.0-GLOMAP climate model, released in 2018, includes the following components: aerosol: UKCA-GLOMAP-mode, atmos: MetUM-HadGEM3-GA7.1 (N96; 192 x 144 longitude/latitude; 85 levels; top level 85 km), land: JULES-HadGEM3-GL7.1, ocean: MOM4p1 (tripolar primarily 1deg; 360 x 200 longitude/latitude; 50 levels; top grid cell 0-10 m), seaIce: CICE-HadGEM3-GSI8 (tripolar primarily 1deg; 360 x 200 longitude/latitude). The model was run by the National Institute of Meteorological Sciences/Korea Meteorological Administration, Climate Research Division, Seoho-bukro 33, Seogwipo-si, Jejudo 63568, Republic of Korea (NIMS-KMA) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, land: 250 km, ocean: 100 km, seaIce: 100 km.
DOI: 10.26050/wdcc/ar6.c6cmnku0
title: IPCC DDC: NIMS-KMA UKESM1.0-LL model output prepared for CMIP6 CMIP

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.CMIP.NIMS-KMA.UKESM1-0-LL' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The UKESM1.0-N96ORCA1 climate model, released in 2018, includes the following components: aerosol: UKCA-GLOMAP-mode, atmos: MetUM-HadGEM3-GA7.1 (N96; 192 x 144 longitude/latitude; 85 levels; top level 85 km), atmosChem: UKCA-StratTrop, land: JULES-ES-1.0, ocean: NEMO-HadGEM3-GO6.0 (eORCA1 tripolar primarily 1 deg with meridional refinement down to 1/3 degree in the tropics; 360 x 330 longitude/latitude; 75 levels; top grid cell 0-1 m), ocnBgchem: MEDUSA2, seaIce: CICE-HadGEM3-GSI8 (eORCA1 tripolar primarily 1 deg; 360 x 330 longitude/latitude). The model was run by the National Institute of Meteorological Sciences/Korea Meteorological Administration, Climate Research Division, Seoho-bukro 33, Seogwipo-si, Jejudo 63568, Republic of Korea (NIMS-KMA) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
DOI: 10.6084/m9.figshare.21092032
title: Integrated Profiling of Gram-Positive and Gram-Negative Probiotic Genomes, Proteomes and Metabolomes Revealed Small Molecules with Differential Growth Inhibition of Antimicrobial-Resistant Pathogens

description: Probiotics produce small molecules that may serve as alternatives to conventional antibiotics by suppressing growth of antimicrobial resistant (AMR) pathogens. The objective of this study was to identify and examine antimicrobials produced and secreted by probiotics using ‘omics’ profiling with computer-based metabolic flux analyses. The cell-free supernatant of Gram-positive <i>Lacticaseibacillus rhamnosus</i> GG (LGG) and Gram-negative <i>Escherichia coli</i> Nissle (ECN) probiotics inhibited growth of AMR <i>Salmonella</i> Typhimurium, <i>Escherichia coli</i>, and <i>Klebsiella oxytoca</i> ranging between 28.85 − 41.20% (LGG) and 11.48 − 29.45% (ECN). A dose dependent analysis of probiotic supernatants showed LGG was 6.27% to 20.55% more effective at reducing AMR pathogen growth when compared to ECN. Principal component analysis showed clear separation of ECN and LGG cell free supernatant metabolomes. Among 667 metabolites in the supernatant, 304 were differentially abundant between LGG and ECN probiotics. Proteomics identified 87 proteins, whereby 67 (ECN) and 14 (LGG) showed differential expression as enzymes related to carbohydrate and energy metabolic pathways. The whole genomes and metabolomes were next used for <i>in-silico</i> metabolic network analysis. The model predicted the production of 166 metabolites by LGG and ECN probiotics across amino acid, carbohydrate/energy, and nucleotide metabolism with antimicrobial functions. The predictive accuracy of the metabolic flux analysis highlights the novel utility for profiling probiotic supplements as dietary-based antimicrobial alternatives in the control of AMR pathogen growth.
DOI: 10.6084/m9.figshare.21092032.v1
title: Integrated Profiling of Gram-Positive and Gram-Negative Probiotic Genomes, Proteomes and Metabolomes Revealed Small Molecules with Differential Growth Inhibition of Antimicrobial-Resistant Pathogens

description: Probiotics produce small molecules that may serve as alternatives to conventional antibiotics by suppressing growth of antimicrobial resistant (AMR) pathogens. The objective of this study was to identify and examine antimicrobials produced and secreted by probiotics using ‘omics’ profiling with computer-based metabolic flux analyses. The cell-free supernatant of Gram-positive <i>Lacticaseibacillus rhamnosus</i> GG (LGG) and Gram-negative <i>Escherichia coli</i> Nissle (ECN) probiotics inhibited growth of AMR <i>Salmonella</i> Typhimurium, <i>Escherichia coli</i>, and <i>Klebsiella oxytoca</i> ranging between 28.85 − 41.20% (LGG) and 11.48 − 29.45% (ECN). A dose dependent analysis of probiotic supernatants showed LGG was 6.27% to 20.55% more effective at reducing AMR pathogen growth when compared to ECN. Principal component analysis showed clear separation of ECN and LGG cell free supernatant metabolomes. Among 667 metabolites in the supernatant, 304 were differentially abundant between LGG and ECN probiotics. Proteomics identified 87 proteins, whereby 67 (ECN) and 14 (LGG) showed differential expression as enzymes related to carbohydrate and energy metabolic pathways. The whole genomes and metabolomes were next used for <i>in-silico</i> metabolic network analysis. The model predicted the production of 166 metabolites by LGG and ECN probiotics across amino acid, carbohydrate/energy, and nucleotide metabolism with antimicrobial functions. The predictive accuracy of the metabolic flux analysis highlights the novel utility for profiling probiotic supplements as dietary-based antimicrobial alternatives in the control of AMR pathogen growth.
DOI: 10.15156/bio/2938077
title: UNITE mothur release for eukaryotes

description: Three sets of mothur files are released, corresponding to the SHs resulting from clustering at the 3% distance (97% similarity) and 1% distance (99%) threshold levels. The third set of files is the result of a dynamic use of clustering thresholds, such that some SHs are delimited at the 3% distance level, some at the 2.5% distance level, some at the 2% distance level, and so on; these choices were made manually by experts of those particular lineages of fungi. The syntax is the same throughout the three sets of files. Includes singletons set as RefS (in dynamic files).
DOI: 10.6084/m9.figshare.22678999
title: Climate-driven ecological thresholds in China’s drylands modulated by grazing

description: Dataset for "Climate-driven ecological thresholds in China’s drylands modulated by grazing"
DOI: 10.6084/m9.figshare.22578904.v1
title: Phase-heterojunction all-inorganic perovskite solar cells surpassing 21.5% efficiency

description: Solar cell efficiency counts for small area, PMS and different g-CsPbI3 film thickness, PLQY data, PV parameters of the individual devices
DOI: 10.6084/m9.figshare.22578904
title: Phase-heterojunction all-inorganic perovskite solar cells surpassing 21.5% efficiency

description: Solar cell efficiency counts for small area, PMS and different g-CsPbI3 film thickness, PLQY data, PV parameters of the individual devices
DOI: 10.15156/bio/2938078
title: UNITE mothur release for eukaryotes 2

description: Three sets of mothur files are released, corresponding to the SHs resulting from clustering at the 3% distance (97% similarity) and 1% distance (99%) threshold levels. The third set of files is the result of a dynamic use of clustering thresholds, such that some SHs are delimited at the 3% distance level, some at the 2.5% distance level, some at the 2% distance level, and so on; these choices were made manually by experts of those particular lineages of fungi. The syntax is the same throughout the three sets of files. Includes global and 3% distance singletons.
DOI: 10.5281/zenodo.7842385
title: Data Repository Accompanying "Controllable single Cooper pair splitting in hybrid quantum dot systems"

description: Code and datasets associated with the manuscript " Controllable single Cooper pair splitting in hybrid quantum dot systems". With the code and data included here, all necessary fits and analysis can be conducted to produce the figures given in the manuscript and its supplementary material. The only exception is that we include the results of the quantum dot stability diagram simulation, however this simulation involves no new physics and the procedure is described in detail in the manuscript's supplementary information.
DOI: 10.5281/zenodo.7842384
title: Data Repository Accompanying "Controllable single Cooper pair splitting in hybrid quantum dot systems"

description: Code and datasets associated with the manuscript " Controllable single Cooper pair splitting in hybrid quantum dot systems". With the code and data included here, all necessary fits and analysis can be conducted to produce the figures given in the manuscript and its supplementary material. The only exception is that we include the results of the quantum dot stability diagram simulation, however this simulation involves no new physics and the procedure is described in detail in the manuscript's supplementary information.