cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4422089
title: Experimental measurements of creep deformation of Tournemire shale loaded at specified pressure (10 MPa) and room temperature (26°C)

description: Following the experimental protocol used in (Geng<em> et al.</em>, 2018), we performed the stepping creep experiments at a confining pressure of 10 MPa. We first loaded the samples under hydrostatic conditions up to 10 MPa at a pressure rate of 0.3 MPa/min. Hydrostatic conditions were maintained for ~18 h at 26 °C. Next, differential stress (axial stress minus confining pressure) was increased to a fixed initial stress (30 MPa) and maintained (creep status) for 24 h. The differential stress was repeatedly increased by 5 MPa and maintained for 24 h, until brittle failure. All the experiments were conducted using the triaxial apparatus installed at the Laboratoire de Géologie of ENS-Paris (France). There were few constraints on the natural saturation state of the samples because of their low permeability (10<sup>-19</sup> 10<sup>-21</sup> m<sup>2</sup>). To avoid exposition redundancy, an additional description of the technical performance of the triaxial apparatus can be referred to (Brantut<em> et al.</em>, 2011, Sarout & Guéguen, 2008). Compressive stresses and compactive strains are denoted as positive. Axial creep deformation was measured using three capacitive gap sensors that externally monitored the overall axial displacement of the piston during creep deformation. Volumetric strain during creep was estimated by adding the average of axial strains (axial displacement of the piston divided by the sample length) and two average radial strains measured by four radial strain gauges glued uniformly around the cylindrical rock surface. As the deformation rate generally stabilized during the last 8 h in most creep periods (Geng<em> et al.</em>, 2018), we estimated the average axial strain rate over the last 8 h of each step to characterize the creep strain rate under the corresponding axial loading stress. More technical details of the sample configuration and creep rates estimation can be found in (Geng<em> et al.</em>, 2018).
description: The original version of dataset is used for review purposes of an article entitled "Pressure solution compaction during creep deformation of Tournemire shale: implications for temporal sealing in shales".
description: {"references": ["Geng, Z., Bonnelye, A., Chen, M., Jin, Y., Dick, P., David, C., Fang, X. & Schubnel, A. (2018). Time and Temperature Dependent Creep in Tournemire shale. Journal of Geophysical Research: Solid Earth 123, 9658-9675.", "Brantut, N., Schubnel, A. & Gu\u00e9guen, Y. (2011). Damage and rupture dynamics at the brittle\u2010ductile transition: The case of gypsum. Journal of Geophysical Research: Solid Earth (1978\u20132012) 116.", "Sarout, J. & Gu\u00e9guen, Y. (2008). Anisotropy of elastic wave velocities in deformed shales: Part 1\u2014Experimental results. Geophysics 73, D75-D89."]}
DOI: 10.6084/m9.figshare.11189885
title: Experimental comparisons

description: This dataset contains code and data of 4.3 Experimental comparisons in our papper 'Detecting spatio-temporal extents of traffic congestion: A density-based moving object clustering approach'.
DOI: 10.6084/m9.figshare.11189885.v5
title: Experimental comparisons

description: This dataset contains code and data of 4.3 Experimental comparisons in our papper 'Detecting spatio-temporal extents of traffic congestion: A density-based moving object clustering approach'.
DOI: 10.21227/jr39-c333
title: Open source projects for software vulnerabilities

description: Here are some real-worl data sets for software vulnerabilities.The original real-world data sets, collected by Lin et al. (https://github.com/DanielLin1986/TransferRepresentationLearning), which contain the source codes of vulnerable and non-vulnerable functions obtained from six real-world software projects, namely FFmpeg, LibTIFF, LibPNG, VLC and Pidgin. These datasets cover both multimedia and image application categories.To obtain our used data sets, we preprocess these data sets before inputting into the deep neural networks. Firstly, we standardize the source codes by removing comments, blank lines and non-ASCII characters. Secondly, we map user-defined variables to symbolic names (e.g., “var1”, “var2”) and user-defined functions to symbolic names (e.g., “func1”, “func2”). We also replace integers, real and hexadecimal numbers with a generic "num" token and strings with a generic "str" token. We usehttps://joern.readthedocs.io/en/latest/to analyze the source codes to get user-defined variables and functions.
DOI: 10.6084/m9.figshare.13530902
title: A new job shop scheduling method for remanufacturing systems using extended artificial bee colony algorithm

description: This is the experimental data of the manuscript entitled "A new job shop scheduling method for remanufacturing systems using extended artificial bee colony algorithm". All data are generated through computer simulation and saved in the file with csv format. The data are the simulation of the real-world case. There are twelve instances for these experiments with various scales. The information of the datasets are shown in the csv document, including candidate execution mode of each job, jobs contained in each job family, processing time and replacement cost of replacement jobs, and processing time and repair cost of repair jobs.
DOI: 10.6084/m9.figshare.13530902.v2
title: A new job shop scheduling method for remanufacturing systems using extended artificial bee colony algorithm

description: This is the experimental data of the manuscript entitled "A new job shop scheduling method for remanufacturing systems using extended artificial bee colony algorithm". All data are generated through computer simulation and saved in the file with csv format. The data are the simulation of the real-world case. There are twelve instances for these experiments with various scales. The information of the datasets are shown in the csv document, including candidate execution mode of each job, jobs contained in each job family, processing time and replacement cost of replacement jobs, and processing time and repair cost of repair jobs.
DOI: 10.6084/m9.figshare.13530902.v1
title: A new job shop scheduling method for remanufacturing systems using extended artificial bee colony algorithm

description: This is the experimental data of the manuscript entitled "A new job shop scheduling method for remanufacturing systems using extended artificial bee colony algorithm". All data are generated through computer simulation and saved in the file with csv format. The data are the simulation of the real-world case. There are twelve instances for these experiments with various scales. The information of the datasets are shown in the csv document, including candidate execution mode of each job, jobs contained in each job family, processing time and replacement cost of replacement jobs, and processing time and repair cost of repair jobs.
DOI: 10.5066/p9afuivz
title: Upper Klamath Lake (Oregon) Water Column Analyses, 2015 and 2016

description: This data set presents chemical data for water column samples from USGS and Klamath Tribe sites in Upper Klamath Lake, Oregon. Surface water, bottom water and integrated water samples were analyzed for major cations including metals and anions including chloride, sulfate, alkalinity, phosphate silicate and nitrate. Values for pH ranging from 7.3 to 10.0 are also reported.
DOI: 10.21227/7h0n-d422
title: Open source projects for software vulnerabilities

description: Here are some real-world data sets for software vulnerabilities.The original real-world data sets, collected by Lin et al. (https://github.com/DanielLin1986/TransferRepresentationLearning), which contain the source codes of vulnerable and non-vulnerable functions obtained from six real-world software projects, namely FFmpeg, LibTIFF, LibPNG, VLC and Pidgin. These datasets cover both multimedia and image application categories.To obtain our used data sets, we preprocess these data sets before inputting into the deep neural networks. Firstly, we standardize the source codes by removing comments, blank lines and non-ASCII characters. Secondly, we map user-defined variables to symbolic names (e.g., “var1”, “var2”) and user-defined functions to symbolic names (e.g., “func1”, “func2”). We also replace integers, real and hexadecimal numbers with a generic "num" token and strings with a generic "str" token. We usehttps://joern.readthedocs.io/en/latest/to analyze the source codes to get user-defined variables and functions.
DOI: 10.21227/633y-ja26
title: Open source projects for software vulnerabilities

description: Here are some thesoftware vulnerabilityreal-world data sets.The original real-world data sets, collected by Lin et al. (https://github.com/DanielLin1986/TransferRepresentationLearning), which contain the source codes of vulnerable and non-vulnerable functions obtained from six real-world software projects, namely FFmpeg, LibTIFF, LibPNG, VLC and Pidgin. These datasets cover both multimedia and image application categories.To obtain our used data sets, we preprocess these data sets before inputting into the deep neural networks. Firstly, we standardize the source codes by removing comments, blank lines and non-ASCII characters. Secondly, we map user-defined variables to symbolic names (e.g., “var1”, “var2”) and user-defined functions to symbolic names (e.g., “func1”, “func2”). We also replace integers, real and hexadecimal numbers with a generic "num" token and strings with a generic "str" token. We usehttps://joern.readthedocs.io/en/latest/to analyze the source codes to get user-defined variables and functions.
DOI: 10.21227/2bh7-mq35
title: Some software vulnerability real-world data sets

description: Here are some of thesoftware vulnerabilityreal-world data sets.The original real-world data sets, collected by Lin et al. (https://github.com/DanielLin1986/TransferRepresentationLearning), which contain the source codes of vulnerable and non-vulnerable functions obtained from six real-world software projects, namely FFmpeg, LibTIFF, LibPNG, VLC and Pidgin. These datasets cover both multimedia and image application categories.To obtain our used data sets, we preprocess these data sets before inputting into the deep neural networks. Firstly, we standardize the source codes by removing comments, blank lines and non-ASCII characters. Secondly, we map user-defined variables to symbolic names (e.g., “var1”, “var2”) and user-defined functions to symbolic names (e.g., “func1”, “func2”). We also replace integers, real and hexadecimal numbers with a generic "num" token and strings with a generic "str" token. We usehttps://joern.readthedocs.io/en/latest/to analyze the source codes to get user-defined variables and functions.
DOI: 10.6084/m9.figshare.13530941
title: A new job shop scheduling method for remanufacturing systems using extended artificial bee colony algorithm

description: This is the experimental data of the manuscript entitled "A new job shop scheduling method for remanufacturing systems using extended artificial bee colony algorithm". All data are generated through computer simulation and saved in the file with csv format. The data are the simulation of the real-world case. There are twelve instances for these experiments with various scales. The information of the datasets are shown in the csv document, including candidate execution mode of each job, jobs contained in each job family, processing time and replacement cost of replacement jobs, and processing time and repair cost of repair jobs.
DOI: 10.21227/djxh-s338
title: Some software vulnerability real-world data sets

description: Here are some of thesoftware vulnerabilityreal-world data sets.The original real-world data sets, collected by Lin et al. (https://github.com/DanielLin1986/TransferRepresentationLearning), which contain the source codes of vulnerable and non-vulnerable functions obtained from six real-world software projects, namely FFmpeg, LibTIFF, LibPNG, VLC and Pidgin. These datasets cover both multimedia and image application categories.To obtain our used data sets, we preprocess these data sets before inputting into the deep neural networks. Firstly, we standardize the source codes by removing comments, blank lines and non-ASCII characters. Secondly, we map user-defined variables to symbolic names (e.g., “var1”, “var2”) and user-defined functions to symbolic names (e.g., “func1”, “func2”). We also replace integers, real and hexadecimal numbers with a generic "num" token and strings with a generic "str" token. We usehttps://joern.readthedocs.io/en/latest/to analyze the source codes to get user-defined variables and functions.
DOI: 10.21227/zh9h-9f02
title: Some software vulnerability real-world data sets

description: Here are some of thesoftware vulnerabilityreal-world data sets.The original real-world data sets, collected by Lin et al. (https://github.com/DanielLin1986/TransferRepresentationLearning), which contain the source codes of vulnerable and non-vulnerable functions obtained from six real-world software projects, namely FFmpeg, LibTIFF, LibPNG, VLC and Pidgin. These datasets cover both multimedia and image application categories.To obtain our used data sets, we preprocess these data sets before inputting into the deep neural networks. Firstly, we standardize the source codes by removing comments, blank lines and non-ASCII characters. Secondly, we map user-defined variables to symbolic names (e.g., “var1”, “var2”) and user-defined functions to symbolic names (e.g., “func1”, “func2”). We also replace integers, real and hexadecimal numbers with a generic "num" token and strings with a generic "str" token. We usehttps://joern.readthedocs.io/en/latest/to analyze the source codes to get user-defined variables and functions.
DOI: 10.21227/ky1b-fg45
title: Some software vulnerability real-world data sets

description: Here are some of thesoftware vulnerabilityreal-world data sets.The original real-world data sets, collected by Lin et al. (https://github.com/DanielLin1986/TransferRepresentationLearning), which contain the source codes of vulnerable and non-vulnerable functions obtained from six real-world software projects, namely FFmpeg, LibTIFF, LibPNG, VLC and Pidgin. These datasets cover both multimedia and image application categories.To obtain our used data sets, we preprocess these data sets before inputting into the deep neural networks. Firstly, we standardize the source codes by removing comments, blank lines and non-ASCII characters. Secondly, we map user-defined variables to symbolic names (e.g., “var1”, “var2”) and user-defined functions to symbolic names (e.g., “func1”, “func2”). We also replace integers, real and hexadecimal numbers with a generic "number" token and strings with a generic "str" token. We usehttps://joern.readthedocs.io/en/latest/to analyze the source codes to get user-defined variables and functions.
DOI: 10.6084/m9.figshare.13530929
title: SuperMat

description: A growing number of papers are published in the area of superconducting materials science. However, novel text and data mining (TDM) processes are still needed to efficiently access and exploit this accumulated knowledge, paving the way towards data-driven materials design. Herein, we present SuperMat (Superconductor Materials), an annotated corpus of linked data derived from scientific publications on superconductors, which comprises 142 articles, 16052 entities, and 1398 links that are characterised into six categories: the names, classes, and properties of materials; links to their respective superconducting critical temperature (Tc); and parametric conditions such as applied pressure or measurement methods. The construction of SuperMat resulted from a fruitful collaboration between computer scientists and material scientists, and its high quality is ensured through validation by domain experts. The quality of the annotation guidelines was ensured by satisfactory Inter Annotator Agreement (IAA) between the annotators and the domain experts. SuperMat includes the dataset, annotation guidelines, and annotation support tools that use automatic suggestions to help minimise human errors.
DOI: 10.6084/m9.figshare.13525748
title: 2018-Old-adults-CKD-prevalence

description: The data was extracted using stratified, multistage random sampling from the regional health information system. Finally, a total of 37533 individuals aged ≥ 65 years in Binhai were enrolled in this study between 1<sup>st</sup> January 2018, and 31<sup>st</sup> December 2018.
DOI: 10.6084/m9.figshare.13525748.v1
title: 2018-Old-adults-CKD-prevalence

description: The data was extracted using stratified, multistage random sampling from the regional health information system. Finally, a total of 37533 individuals aged ≥ 65 years in Binhai were enrolled in this study between 1<sup>st</sup> January 2018, and 31<sup>st</sup> December 2018.
DOI: 10.6084/m9.figshare.13502553
title: Data analysed in: Soravia et al. (2021) Brood sex ratio modulates the effects of extra food on parental effort and sibling competition in a sexually dimorphic raptor. Behavioral Ecology and Sociobiology

description: Data analysed in the paper:<br> Soravia C, Cecere JG, Rubolini D (2021)<br> <i><br></i>Brood sex ratio modulates the effects of extra food on parental effort and sibling competition in a sexually dimorphic raptor<i>. <br></i><i><br></i><i>Behavioral Ecology and Sociobiology</i>
DOI: 10.6084/m9.figshare.13502553.v1
title: Data analysed in: Soravia et al. (2021) Brood sex ratio modulates the effects of extra food on parental effort and sibling competition in a sexually dimorphic raptor. Behavioral Ecology and Sociobiology

description: Data analysed in the paper:<br> Soravia C, Cecere JG, Rubolini D (2021)<br> <i><br></i>Brood sex ratio modulates the effects of extra food on parental effort and sibling competition in a sexually dimorphic raptor<i>. <br></i><i><br></i><i>Behavioral Ecology and Sociobiology</i>
DOI: 10.6084/m9.figshare.8187599
title: Participants’ perspectives of feasibility of a novel group treatment for people with cognitive communication difficulties following acquired brain injury

description: <b>Purpose:</b> To determine whether treatment was acceptable to participants and perceived as beneficial by exploring the experiences of people with cognitive communication difficulties following acquired brain injury who participated in a novel, group, communication, project-based treatment. The purpose of the treatment was to improve participants’ communication skills and quality of life, by focussing group activity towards the production of a project and by incorporating individualised communication goals into group sessions. <b>Methods:</b> Twenty-one people with acquired brain injury recruited from community settings participated in project-based treatment, which comprised one individual and nine group sessions (of 2–3 people) over six weeks. Structured interviews were conducted post-treatment as part of a broader assessment battery. Interviews were transcribed verbatim and analysed using content analysis to identify codes, categories, and themes. <b>Results:</b> Themes identified from the analysis centred around the treatment experience (general experience; group experience; project experience; working on goals) and benefit of treatment (communicative benefit; other benefits; emotional effects; meeting others; something to do). These themes were consistent with the treatment being perceived as acceptable and having initial efficacy for the participant group. <b>Conclusion:</b> The qualitative data presented here provide positive feasibility findings (acceptability and initial efficacy) of project-based treatment for people with acquired brain injury. The results highlight the value of incorporating participants’ views in assessing feasibility in developing novel interventions.Implications for rehabilitationInviting people (with cognitive communication difficulties following acquired brain injury) to feedback on their treatment experience provides valuable information that can confirm treatment choice and content or inform adjustments to future treatment.Group treatment with a meaningful and motivating focus, and individualised communication goals, seem to promote positive change in communication, emotional state, cognition, self-awareness, and social interaction.This study highlights the value of individuals’ perspectives in evaluating feasibility of a novel intervention. Inviting people (with cognitive communication difficulties following acquired brain injury) to feedback on their treatment experience provides valuable information that can confirm treatment choice and content or inform adjustments to future treatment. Group treatment with a meaningful and motivating focus, and individualised communication goals, seem to promote positive change in communication, emotional state, cognition, self-awareness, and social interaction. This study highlights the value of individuals’ perspectives in evaluating feasibility of a novel intervention.
DOI: 10.6084/m9.figshare.8187599.v1
title: Participants’ perspectives of feasibility of a novel group treatment for people with cognitive communication difficulties following acquired brain injury

description: <b>Purpose:</b> To determine whether treatment was acceptable to participants and perceived as beneficial by exploring the experiences of people with cognitive communication difficulties following acquired brain injury who participated in a novel, group, communication, project-based treatment. The purpose of the treatment was to improve participants’ communication skills and quality of life, by focussing group activity towards the production of a project and by incorporating individualised communication goals into group sessions. <b>Methods:</b> Twenty-one people with acquired brain injury recruited from community settings participated in project-based treatment, which comprised one individual and nine group sessions (of 2–3 people) over six weeks. Structured interviews were conducted post-treatment as part of a broader assessment battery. Interviews were transcribed verbatim and analysed using content analysis to identify codes, categories, and themes. <b>Results:</b> Themes identified from the analysis centred around the treatment experience (general experience; group experience; project experience; working on goals) and benefit of treatment (communicative benefit; other benefits; emotional effects; meeting others; something to do). These themes were consistent with the treatment being perceived as acceptable and having initial efficacy for the participant group. <b>Conclusion:</b> The qualitative data presented here provide positive feasibility findings (acceptability and initial efficacy) of project-based treatment for people with acquired brain injury. The results highlight the value of incorporating participants’ views in assessing feasibility in developing novel interventions.Implications for rehabilitationInviting people (with cognitive communication difficulties following acquired brain injury) to feedback on their treatment experience provides valuable information that can confirm treatment choice and content or inform adjustments to future treatment.Group treatment with a meaningful and motivating focus, and individualised communication goals, seem to promote positive change in communication, emotional state, cognition, self-awareness, and social interaction.This study highlights the value of individuals’ perspectives in evaluating feasibility of a novel intervention. Inviting people (with cognitive communication difficulties following acquired brain injury) to feedback on their treatment experience provides valuable information that can confirm treatment choice and content or inform adjustments to future treatment. Group treatment with a meaningful and motivating focus, and individualised communication goals, seem to promote positive change in communication, emotional state, cognition, self-awareness, and social interaction. This study highlights the value of individuals’ perspectives in evaluating feasibility of a novel intervention.