cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.2368711
title: Auditory multi-stability: Idiosyncratic perceptual switching patterns, executive functions and personality traits

description: Behavioral data of the auditory streaming<br>The archive contains all blocks for all participants of the auditory streaming task in *.mat files. Each file contains a structure called behavdat, which contains the following fields: 1) block = block number, 2) percept = button press data sampled in 10Hz, 3) iCond = condition number, 4) catch_emphasize = correct response for the catch trials, 5) catch_percept = button presses for the catch trials<br><br>Preprocessed variables for the correlation...lysis<br>Final values of the variables of interest (rows = participants, columns = variables, variable names in top row of the file)<br><br>Data for the caption generation<br>1st column = response by the participant (in Hungarian), 2nd column = participant number indicator, 3rd = the order of the specific picture for that participant, 4th = condition/picture type<br><br>Data for the Use Of Objects<br>1st column = response by the participant (in Hungarian), 2nd column = participant number indicator, 3rd = the order of the specific word for that participant, 4th = condition/word<br><br>Rater data for the creativity tasks<br>First two columns: creativity task and picture/word indicator, 3rd = participant number, 4-6: ratings of the three raters<br><br>Data for the fluency task<br>1st column = words produced (in Hungarian), 2nd = participant number, 3rd = order of the response<br><br>Data for the N-back task<br>1st column = participant number, 2nd = condition indicator, 3rd = stimulus, 4th = reaction time (zero indicates no button press), 5th = accuracy code (if there is an value &gt; 0 in the 4th column and zero here it suggests a false alarm, if the value in the 4th column is zero and the value here it suggests a miss)<br><br>Data for the personality scales<br>Rows are the items of the scales (ER = ego-resiliency, BFI = Big Five Inventory, UPPS = UPPS Implusive Behavior Scale, NISROE = Internal/External Coding Styles Inventory, BIDR = Behavioral Inventory of Desirable Responding). Columns are participants.<br><br>Data for the Stroop task<br>Participant numbers, accuracy and reaction times (in ms) for the four conditions of the Stroop task (Neutral word, neutral color, congruent, incongruent)
DOI: 10.6084/m9.figshare.2366443
title: Open-pit block sequencing optimization: A mathematical model and solution technique

description: This study presents a comprehensive mathematical formulation model for a short-term open-pit mine block sequencing problem, which considers nearly all relevant technical aspects in open-pit mining. The proposed model aims to obtain the optimum extraction sequences of the original-size (smallest) blocks over short time intervals and in the presence of real-life constraints, including precedence relationship, machine capacity, grade requirements, processing demands and stockpile management. A hybrid branch-and-bound and simulated annealing algorithm is developed to solve the problem. Computational experiments show that the proposed methodology is a promising way to provide quantitative recommendations for mine planning and scheduling engineers.
DOI: 10.6084/m9.figshare.2366827
title: BLAST results most abundant 97% OTUs

description: Top 30 OTUs, sequences & best BLAST hits (nr/nt)
DOI: 10.6084/m9.figshare.2885308.v229
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x. See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2366443.v1
title: Open-pit block sequencing optimization: A mathematical model and solution technique

description: This study presents a comprehensive mathematical formulation model for a short-term open-pit mine block sequencing problem, which considers nearly all relevant technical aspects in open-pit mining. The proposed model aims to obtain the optimum extraction sequences of the original-size (smallest) blocks over short time intervals and in the presence of real-life constraints, including precedence relationship, machine capacity, grade requirements, processing demands and stockpile management. A hybrid branch-and-bound and simulated annealing algorithm is developed to solve the problem. Computational experiments show that the proposed methodology is a promising way to provide quantitative recommendations for mine planning and scheduling engineers.
DOI: 10.6084/m9.figshare.2368711.v1
title: Auditory multi-stability: Idiosyncratic perceptual switching patterns, executive functions and personality traits

description: Behavioral data of the auditory streaming<br>The archive contains all blocks for all participants of the auditory streaming task in *.mat files. Each file contains a structure called behavdat, which contains the following fields: 1) block = block number, 2) percept = button press data sampled in 10Hz, 3) iCond = condition number, 4) catch_emphasize = correct response for the catch trials, 5) catch_percept = button presses for the catch trials<br><br>Preprocessed variables for the correlation...lysis<br>Final values of the variables of interest (rows = participants, columns = variables, variable names in top row of the file)<br><br>Data for the caption generation<br>1st column = response by the participant (in Hungarian), 2nd column = participant number indicator, 3rd = the order of the specific picture for that participant, 4th = condition/picture type<br><br>Data for the Use Of Objects<br>1st column = response by the participant (in Hungarian), 2nd column = participant number indicator, 3rd = the order of the specific word for that participant, 4th = condition/word<br><br>Rater data for the creativity tasks<br>First two columns: creativity task and picture/word indicator, 3rd = participant number, 4-6: ratings of the three raters<br><br>Data for the fluency task<br>1st column = words produced (in Hungarian), 2nd = participant number, 3rd = order of the response<br><br>Data for the N-back task<br>1st column = participant number, 2nd = condition indicator, 3rd = stimulus, 4th = reaction time (zero indicates no button press), 5th = accuracy code (if there is an value &gt; 0 in the 4th column and zero here it suggests a false alarm, if the value in the 4th column is zero and the value here it suggests a miss)<br><br>Data for the personality scales<br>Rows are the items of the scales (ER = ego-resiliency, BFI = Big Five Inventory, UPPS = UPPS Implusive Behavior Scale, NISROE = Internal/External Coding Styles Inventory, BIDR = Behavioral Inventory of Desirable Responding). Columns are participants.<br><br>Data for the Stroop task<br>Participant numbers, accuracy and reaction times (in ms) for the four conditions of the Stroop task (Neutral word, neutral color, congruent, incongruent)
DOI: 10.6084/m9.figshare.2951263.v237
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2366827.v1
title: BLAST results most abundant 97% OTUs

description: Top 30 OTUs, sequences & best BLAST hits (nr/nt)
DOI: 10.6084/m9.figshare.2885308.v230
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x. See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2361208
title: Eye wrinkle expression in horses

description: Eye wrinkle expression in horses
DOI: 10.6084/m9.figshare.2951263.v238
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2885308.v231
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x. See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2951263.v239
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2951263.v240
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2885308.v232
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x. See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2885308.v233
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x. See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2951263.v241
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2348980
title: MENGA 3.0

description: MENGA is a platform for the integration of imaging data and Allen Human Brain Atlas mRNA data. MENGA aims to provide a comprehensive environment to investigate correlation patterns between various imaging modalities and gene expression profiles based on the Allen Brain Atlas.There are two main files: "MENGA_30_Export.zip" contains the full ABA database, "code_MENGA_30.zip" contains all the code files.<br>A brief manual can be found at <b>http://fair.dei.unipd.it/require-software/</b> or <b>http://www.nitrc.org/projects/menga/ </b>or <b>https://github.com/FAIR-CNS/MENGA</b>.<br>We have now published the reference paper of MENGA on PlosOne, in which all the aspects of the software and its functionalities are described in details: <b>http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0148744</b><br>Current version is 3.0
DOI: 10.6084/m9.figshare.2951263.v242
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2348980.v1
title: MENGA 3.0

description: MENGA is a platform for the integration of imaging data and Allen Human Brain Atlas mRNA data. MENGA aims to provide a comprehensive environment to investigate correlation patterns between various imaging modalities and gene expression profiles based on the Allen Brain Atlas.There are two main files: "MENGA_30_Export.zip" contains the full ABA database, "code_MENGA_30.zip" contains all the code files.<br>A brief manual can be found at <b>http://fair.dei.unipd.it/require-software/</b> or <b>http://www.nitrc.org/projects/menga/ </b>or <b>https://github.com/FAIR-CNS/MENGA</b>.<br>We have now published the reference paper of MENGA on PlosOne, in which all the aspects of the software and its functionalities are described in details: <b>http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0148744</b><br>Current version is 3.0
DOI: 10.6084/m9.figshare.2350276.v1
title: Service Oriented Architecture Critical Sucess Factors.pdf

description: Service oriented architecture (SOA) is increasingly adopted by many sectors, including healthcare. Due to the nature of healthcare systems, there is a need to increase SOA adoption success rates as the non-integrated nature of healthcare systems is responsible for medical errors that cause the loss of tens of thousands of patients per year. Although numerous factors affect SOA success, these have not been explored and analysed yet, especially in the area of healthcare. This highlights a literature void and thus the purpose of this paper is to identify critical success factors (CSFs) influencing SOA implementation in healthcare. Design/methodology/approach: The authors critically review the literature and identify individual factors that may form CSFs for SOA implementation in healthcare. In doing so, they synthesise and propose a conceptual model of SOA CSFs in healthcare. The conceptual model is tested in the practical arena using a qualitative research methodology that is based on a case study strategy. Findings: The empirical findings verify the proposed model and reveal that an additional SOA CSF in healthcare does exist. It is also revealed that the proposed model helped the case organization to successfully implement an SOA solution. Research limitations/implications: The implications that derive from this article are important for both theory and practice. At a practical level, the paper delivers a model that can be used as a decision-making tool by professionals when they implement SOA solutions in healthcare. At a theoretical level, the proposed model extends the body of knowledge on this area and opens new avenues for research. From another point of view, it is suggested that further research is required on this area as the proposed conceptual model was tested only through a single case study. Thus, multiple case studies or other types of research strategies should be used to better test the proposed model. Originality/value: This work is original and focuses on CSFs related to SOA implementations in healthcare organizations. The work can be considered as novel as it identifies and classifies SOA CSFs for solutions that have been developed in the area of healthcare.
DOI: 10.6084/m9.figshare.2885308.v234
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x. See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2885308.v235
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x. See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2346967
title: Proposed SOA Organisational Structure.pdf

description: – The purpose of this paper is to investigate service-oriented architecture organizational studies (SOA OS) in healthcare through a rigorous literature review, development and testing in an eGovernment health-care setting. The application of SOA paradigm to integrate information systems has been pursued mainly by private organizations. However, SOA starts to appear in the public agenda and specifically in health-care reengineering, as well. Recently, government strategies for eHealth have been slowly incorporating the SOA paradigm to integrate isolated systems, provide cost-effective solutions and expand the capabilities of their health-care information system. Yet, literature indicates that eHealth government strategies, including SOA, require the support of SOA OS to be successfully implemented.
DOI: 10.6084/m9.figshare.2951263.v243
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2346967.v1
title: Proposed SOA Organisational Structure.pdf

description: – The purpose of this paper is to investigate service-oriented architecture organizational studies (SOA OS) in healthcare through a rigorous literature review, development and testing in an eGovernment health-care setting. The application of SOA paradigm to integrate information systems has been pursued mainly by private organizations. However, SOA starts to appear in the public agenda and specifically in health-care reengineering, as well. Recently, government strategies for eHealth have been slowly incorporating the SOA paradigm to integrate isolated systems, provide cost-effective solutions and expand the capabilities of their health-care information system. Yet, literature indicates that eHealth government strategies, including SOA, require the support of SOA OS to be successfully implemented.
DOI: 10.6084/m9.figshare.2341387
title: Living on the edge: parasite prevalence changes dramatically towards a range edge

description: Data collected from Hemidactylus frenatus (the Asian house gecko) in Townsville, Australia, at sites spanning distances across the urban edge (where -1500 to -500m is inner-urban and 500 to 2000m is natural woodland). Includes gecko weight, snout-vent length, sex and abundance, as well as the presence/absence of three parasites: Geckobia spp. mites, the pentastome Raillietiella frenata and the pentastome Waddycephalus spp..
DOI: 10.6084/m9.figshare.2885308.v236
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x. See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2341387.v1
title: Living on the edge: parasite prevalence changes dramatically towards a range edge

description: Data collected from Hemidactylus frenatus (the Asian house gecko) in Townsville, Australia, at sites spanning distances across the urban edge (where -1500 to -500m is inner-urban and 500 to 2000m is natural woodland). Includes gecko weight, snout-vent length, sex and abundance, as well as the presence/absence of three parasites: Geckobia spp. mites, the pentastome Raillietiella frenata and the pentastome Waddycephalus spp..
DOI: 10.6084/m9.figshare.2951263.v244
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2885308.v237
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x. See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2951263.v245
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2885308.v238
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x. See the link below for case files and download instructions.
DOI: 10.6084/m9.figshare.2951263.v246
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2325763
title: Final Results Summary

description: Final results summary, collated into one excel table.
DOI: 10.6084/m9.figshare.2325397
title: ORB Assessment for Unclear Risks - group assessment data 1

description: Articles assigned with an unclear risk of bias initially were given an either low, risk, or further unclear risk of bias based on group consensus for data collection table 1.
DOI: 10.6084/m9.figshare.2326669
title: Outcome Reporting Bias Data Collection

description: Data collection for reviews 1-350 included.<br>For reviews with an unclear risk of bias, separate tables included where more than one author was involved to determine overall consensus on risk of bias (low, high, unclear). For reviews that required emailing Cochrane authors, email responses are also included and assigned a risk of bias. For email responses that had common themes, a table of a bias assessment for common themes was created. Finally, a summarized results table is included.
DOI: 10.6084/m9.figshare.2325397.v1
title: ORB Assessment for Unclear Risks - group assessment data 1

description: Articles assigned with an unclear risk of bias initially were given an either low, risk, or further unclear risk of bias based on group consensus for data collection table 1.
DOI: 10.6084/m9.figshare.2326669.v1
title: Outcome Reporting Bias Data Collection

description: Data collection for reviews 1-350 included.<br>For reviews with an unclear risk of bias, separate tables included where more than one author was involved to determine overall consensus on risk of bias (low, high, unclear). For reviews that required emailing Cochrane authors, email responses are also included and assigned a risk of bias. For email responses that had common themes, a table of a bias assessment for common themes was created. Finally, a summarized results table is included.
DOI: 10.6084/m9.figshare.2951263.v247
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2324971
title: Sample size calculation and random review generator

description: Sample size calculation per Cochrane review group; random review # generator (used to help pick reviews at random)
DOI: 10.6084/m9.figshare.2325142
title: Review Citations

description: Review citations used for picking reviews by random (random # generator produced by excel, and number listed on citations picked based on random number generated)
DOI: 10.6084/m9.figshare.2325763.v1
title: Final Results Summary

description: Final results summary, collated into one excel table.
DOI: 10.6084/m9.figshare.2885308.v239
title: UNH-RVAT 3-D SST RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions using the k-omega SST RANS model in OpenFOAM 2.3.x. See the link below for case files and download instructions.