cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/tv6w6yyfy8.4
title: Dataset assessing three samples of French university students to 5 personality tests: IPO, PDQ-4+, PANAS, AQ and HADS.

description: This dataset provides the results of three samples of French university students (Angers University) to 5 personality tests: IPO, PDQ-4+, PANAS, AQ and HADS. These three studies were approved by the research ethics committee of Angers University. Data were collected from November 26, 2021 to February 19, 2022 for Studies 1 and 2. Data collection for Study 3 ended on September 31, 2022. 
The first part of this dataset comprise 602 first- and second-year psychology students: 112 men, 486 women, and 4 participants of unspecified gender (Mean age = 19.40 years / SD = 1.95). It is composed of two separate samples: 269 first-year students (Sample 1 = Study 1 Sample 1.xlsx) and 333 second-year (Sample 2 = Study 1 Sample 2.xlsx). The first part gives the scores obtained by students to the Inventory of Personality Organization (Kernberg). The IPO assesses three components of personality, namely Primitive psychological Defenses (PD = 16 items), Identity Diffusion (ID = 20 items), and Reality Testing (RT= 21 items). Personality disorders manifest themselves in high levels of one or more of these three dimensions (scales). The second part of this dataset (Study 2 = Study 2.xlsx) is consisted of 305 students from different departments at the University of Angers. It is composed of 63 men and 242 women, with a mean age of 19.83 years (SD = 2.12). It offers the results of this sample to the three scales (PD/ID/RT) of the French translation of the IPO and to the French versions of the following tests: Personality Diagnostic Questionnaire-4+ (PDQ-4+), Positive and Negative Affect Schedule (PANAS), Aggression Questionnaire (AQ), and Hospital Anxiety and Depression Scale (HADS). Studies 1 and 2 were used to develop and validate the French version of the IPO in 40 items and 2 scales (PD-ID/RT): the IPO-fr. In the third part (= Study 3), respondents are 182 first- and second-year students from the Department of Psychology and 425 first- and second-year students from the Departments of Arts and humanities (Mage = 19.38, SD = 1.93). Study 3 contains (1) Responses from 607 French young adults to each item of the IPO-fr, (2) Responses obtained by the same 607 respondents to the French PDQ-4+ (self-report questionnaire and Clinical significance scale), and (3) Basic demographic information (gender and age) collected for all respondents. For the IPO-fr, scores on the PD/ID and RT scales were calculated by summing participants' scores on the items in each scale. The total score consists of the sum of participants' scores on the PD/ID and RT scales. A codebook containing the French version of the PDQ-4+ and the IPO-fr is included in this dataset.
This Version 4 of the dataset enhances the content of this codebook 1) by providing an English translation of the validated French version of the IPO and 2) by offering both in the French version and in its English translation an explicit link between the items in this questionnaire and the variables in the dataset.
DOI: 10.17632/sdbc8f5b77.2
title: Punjabi Speech: A labeled Speech Corpus

description: The Punjabi Speech corpus is designed for automatic speech recognition and synthesis purposes. The corpus comprises recorded speech samples in the studio and open environment settings, with a sampling rate of 44.1 kHz in WAV file format. The duration of each recording is limited to 15 seconds to prevent memory issues while training on GPUs. The dataset currently contains 2429 spoken utterances from two male speakers, totaling ~4 hours of data. For training, validation, and testing purposes, the data is pre-divided into 80% for training, 10% for validation, and 10% for testing. The dataset is organized in a straightforward manner, with all speech files located in the "clips" directory and transcript files (train, dev, and test) in TSV format located in the parent directory. Each line in the transcript files represents a label for a single speech sample in the clips directory. The first column contains the path/name to the corresponding WAV file and the second column, separated by a tab, contains the transcript in text form.
DOI: 10.17632/hk9yfsdhh9.2
title: Primary Life Cycle Inventory Data for Cement Production - Indian Cases

description: The data generated and published is the primary life cycle inventory from six Indian cement plants. We provide the data in three parts (in three different sheets) with information relevant to the steps followed in the life cycle assessment (LCA) methodology, i.e., inventory, characterization factors and impacts (carbon footprint and energy consumed). All the data presented here (in sheet A and C) is associated with a tonne of clinker and cement (ordinary portland cement, portland pozzolana cement, portland slag cement) produced in each plant. Sheet A provides the detailed inventories (primary data) and characterization factors (based on primary and secondary sources) used in the case studies; Sheet B contains the detailed inventory, corresponding characterization factors and impact values for electricity production (per kWh) in the captive power plants of the cement plants, which is one of its kind of data; and sheet C contains the impact assessment results of all the different products relevant to the case studies and for the three different systems (system boundaries) considered for the LCA.
DOI: 10.17632/mbt6845jjb.1
title: Complementary material: Code and data from an ADALINE network trained with the RTRL and LMS algorithms for an MPPT controller in a photovoltaic system

description: In this dataset you will find the training algorithms (LMS and RTRL) developed for an ADALINE neural network, used as an MPPT control mechanism in a photovoltaic system completely isolated from the electrical network. Additionally, the results obtained in computational tests (simulation data) and experimental tests carried out in the field are available.
DOI: 10.17632/czf5tpzt7z.1
title: Spectral: Solving Schroedinger and Wheeler–DeWitt equations in the positive semi-axis by the spectral method

description: Abstract The Galerkin spectral method can be used for approximate calculation of eigenvalues and eigenfunctions of unidimensional Schroedinger-like equations such as the Wheeler–DeWitt equation. The criteria most commonly employed for checking the accuracy of results is the conservation of norm of the wave function, but some other criteria might be used, such as the orthogonality of eigenfunctions and the variation of the spectrum with varying computational parameters, e.g. the number of basis functio... Title of program: Spectral Catalogue Id: AEQQ_v1_0 Nature of problem Numerical solution of Schrödinger-like eigenvalue equations (specially, the Wheeler-DeWitt equation) in the positive semi-axis. Versions of this program held in the CPC repository in Mendeley Data AEQQ_v1_0; Spectral; 10.1016/j.cpc.2013.09.007 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/xmk49jdxm6.2
title: AI Governance in public organizations

description: This research aimed to investigate how public organizations have incorporated the guidelines presented by the academia, legislation and international standards into their governance, management, and AI systems development processes focusing on ethical principles.
One share data and documents used in empirical research regarding AI governance in 28 public organizations around the world. Primary data were collected by means of online questionnaire and semi-structured interviews. Fuzzy QCA and crisp-set QCA were used to identify how those organizations have prioritized, combined and internalized practices and processes towards AI governance. 
The following data is shared:
1- Questionnaire
2- Interview script
3- Questionnaire assessment
4- Interview script assessment
5- Standards answers used in the questionnaire and interview
6- Collected values
7- AI systems purposes
8- QCAs and variables meaning
9- Relevant findings from interviews related to processes and practices
10- Government processes and practices guidelines that contribute to AI governance
11- AI strategies
DOI: 10.17632/b496fbfcmf.1
title: Data for: Place and Participation in Local Elections

description: Dataset used for analyses of Place and Participation in Local Elections (Lappie and Marschall).
DOI: 10.17632/thgf23xgy7.2
title: Data for HCRF

description: The gastric slice dataset and core code of HCRF.
DOI: 10.17632/vfcv9nrmgm.1
title: Data for: Major and trace element characterization of Oceanic Anoxic Event 1d (OAE 1d): Insight from the Umbria-Marche Basin, central Italy

description: Table A: Major and trace element content and nannofossil indices data for the analyzed samples from the Monte Petrano section.

Table B: Major and trace element content and nannofossil indices data for the analyzed samples from Le Brecce section.

Figure C: Stratigraphic distribution of lithogenic conservative elements (Si, Ti, K, Fe, Rb, Zr) versus Al at the Monte Petrano section. For the sake of readability, the Si/Al axis is cropped. Black-to-dark grey shale samples are indicated with MP following the code used in Figure 3. The vertical line in the graphs represents average shale (AS) composition according to Wedepohl (1971, 1991).

Figure D: Stratigraphic distribution of lithogenic conservative elements (Si, Ti, K, Fe, Rb, Zr) versus Al at Le Brecce section. For the sake of readability, the Si/Al axis is cropped. Black-to-dark grey shale samples are indicated with BR following the code used in Figure 3. The vertical line in the graphs represents average shale (AS) composition according to Wedepohl (1971, 1991).

Figure E: Crossplots reporting Al-normalized redox-sensitive element composition with weak- (Cu, Ni, Cr, Co) and strong- (Mo, U, V, Zn, Pb) euxinic affinity versus TOC for the black-to-dark grey shale layers at Monte Petrano and Le Brecce sections. Redox thresholds follow Algeo and Maynard (2004).
DOI: 10.17632/r6vvm5jkh6.2
title: Lightweight Dataset for Maize Classification on Resource-Constrained Devices

description: The dataset comprises images of three types of maize seeds: Wang Dataa, Sanzal Sima, and Bihilifa, sourced from Heritage Seeds Ghana. These maize varieties are commonly cultivated in the northern region of Ghana. At the collection point, Heritage Seeds Ghana manually sorted and labeled the images as either 'good' or 'bad' for each of the three varieties. The 'good' category represented high-quality maize seeds suitable for productive yields, while the 'bad' category included damaged, infected, or low-quality seeds not suitable for production. The images were captured using a 12-megapixel phone camera, resulting in original JPEG images of varying dimensions. Additionally, the augmented images were standardized to a size of 128 by 128. During capture, a blue background was used to ensure consistency and clarity during daylight, with no specific attention to lighting conditions. The images were then organized into their respective classes of 'good' and 'bad.' Overall, the dataset for this study comprises both raw (4,846 images) and augmented (28,910 images) color images.
DOI: 10.17632/ds235n9sj7.1
title: Geodynamic Evolution of the Proto-Tethys Ocean in the West Kunlun Orogenic Belt, NW Tibet: Implications from the Sub-Arc Crust and Lithospheric Mantle Modification

description: Geodynamic Evolution of the Proto-Tethys Ocean in the West Kunlun Orogenic Belt
DOI: 10.17632/ks3bd6bddb.3
title: Sand goby；fish

description: yolov7，aquaculture；Video and image data of fish fry，Other datasets are available at:（1）https://data.mendeley.com/drafts/9gj5f7md55；（2）https://data.mendeley.com/drafts/dksftjjnjz；（3）https://data.mendeley.com/drafts/5t5cdpmzz5（4）https://data.mendeley.com/drafts/ggxt56pkbm；（5）https://data.mendeley.com/drafts/ys26yc9r9p
DOI: 10.17632/8wc9jtndf6.1
title: "Smart Bin Insights: Data Set for Unveiling Waste Management Trends"

description: This paper introduces the "Smart Bin Waste Prediction" system, which forecasts trash bin fill levels. By harnessing sensor data and historical trends, the system employs advanced machine learning techniques to enhance waste collection schedules. A comprehensive comparison of regression and classification algorithms is undertaken to attain optimal outcome
DOI: 10.17632/k68pdvdvnm.1
title: PRISMA Flow Diagram

description: PRISMA Flow Diagram
DOI: 10.17632/7723mdwywb.2
title: Relationship between eye movements and vocational behavior

description: This dataset contains data, R code and supplementary materials for analysing the relationship between eye movements and vocational interests. The aim of the studies was, to find out to what extent there are significant correlations between eye tracking parameters and vocational interests. Various eye tracking parameters were tested. Vocational interests were categorised on the basis of the RIASEC model according to John L. Holland.
Folder "Study 1" contains the raw data from the first data collection with a complex picture stimulus showing six different occupations according to Holland. The R code and the variable description are also included.
DOI: 10.17632/9ffxhfdtzm.1
title: CellSim3D: GPU accelerated software for simulations of cellular growth and division in three dimensions

description: We present a new open source software package CellSim3D for computer simulations of mechanical aspects (that is, biochemical details are not accounted for) of cell division in three dimensions. It is also possible to use the software in the mode with cell division and growth turned off which allows for simulations of soft colloidal matter. The code is based on a previously introduced two dimensional mechanical model for cell division which is extended to full 3D. CellSim3D is written in C/C++ and CUDA and allows for simulations of 100, 000 cells using standard desktop computers.
DOI: 10.17632/s6by4zssfr.2
title: Source of the sand-rich gas hydrate reservoir in the northern South China Sea: Insights from detrital zircon U-Pb geochronology and seismic geomorphology

description: Data detailed descriptions, raw Geochemical datasets.
DOI: 10.17632/59dyrkdfc9.1
title: COVID-19 Dataset

description: full_grouped.csv - Day to day country wise no. of cases (Has County/State/Province level data) covid_19_clean_complete.csv - Day to day country wise no. of cases (Doesn't have County/State/Province level data) country_wise_latest.csv - Latest country level no. of cases day_wise.csv - Day wise no. of cases (Doesn't have country level data) usa_county_wise.csv - Day to day county level no. of cases worldometer_data.csv - Latest data from https://www.worldometers.info/
DOI: 10.17632/9dfd736f35.1
title: in silico data of HELIYON-D-23-33818

description: In network pharmacology study, herbal targets for Daehwang and disease targets for epilepsy were retrieved from various databases. A protein-protein interaction network was established using the STRING database, and the core targets were identified through topological analysis. Finally, enrichment analysis was performed using the DAVID tool to uncover the underlying mechanism.
DOI: 10.17632/w8g4hx5nmz.5
title: GeoBalance: an Excel VBA program for mass balance calculation in geosciences

description: GeoBalance: an Excel VBA program for mass balance calculation in geosciences (Li X., Zhang C., Almeev R., Holtz F., 2020. Geochemistry, 80, 125629) https://doi.org/10.1016/j.chemer.2020.125629
DOI: 10.17632/kkytmzcwyr.1
title: Empatia y variables asociadas estudiantes primer semestre enfermería

description: Se realizó una encuesta de datos socioeconómicos a estudiantes de primer semestre del programa de Enfermería de la Universidad Cooperativa de Colombia UCC cuya finalidad era correlacionarla con los resultados del test de empatía EQ ( the EQ test Baron-Cohen and Wheelwright). Las hipótesis planteadas estaban enfocadas a determinar que no habian relaciones directas entre las variables Sexo, Edad y Condición económica que determinara los valores de empatía.  El fortalecimiento y desarrollo de esta competencia esta asociada a la plasticidad cerebral de los jovenes estudiantes en sus primeros semestres de formación, por lo que se recomiendan  estrategias pedagógicas enfocadas hacia la consolidación del perfil del enfermero o profesional del área de la salud.
DOI: 10.17632/svr3fzk2nt.4
title: EmoAds: A Comprehensive Audio Dataset for Emotional Context Analysis in Advertisements

description: The dataset is a valuable resource that incorporates textual and audio data, facilitating the recognition of emotions and evaluation of advertisement effectiveness. It has the potential to resolve concerns regarding the impact of advertisements on the emotions and purchase intent of users.

The data collection procedure involved a survey for real-world user feedback on advertisements, yielding a textual dataset containing statements relating to emotions. Additionally, the dataset contains 100 audio advertisements in WAV format that were initially segmented into 60-second segments. The result of further division was 1,000 audio snippets. The dataset was enriched by various audio feature extraction techniques, including MFCC, Short Time Energy, Zero Crossing Rate, Power Spectral Density, and Spectrogram Analysis.

The survey's dependent variables are Arousal (A), Valence (V), Dominance (D), Liking (L), and Purchase (P). Independent features are coefficient values extracted from audio feature extraction techniques. The dataset incorporates these characteristics for thorough analysis. Generalization simplified the use of classification and prediction algorithms by reducing the rating scale for emotional statements from 1 to 5 to 1 to 3, thereby reducing their complexity.

The potential of the dataset includes emotion recognition, advertisement evaluation, algorithm benchmarking, and advertising strategy optimization. Companies, marketers, and advertisers can improve their advertising strategies and comprehend public perception and purchase rates. It also functions as a standard for testing algorithms. There may be correlations between audio features and user-reported emotions or purchase intent that are noteworthy. These findings can be utilized to create more effective advertisements and content.
DOI: 10.17632/4ftjdf93v7.1
title: Exploring thermal expansion of carbon-based nanosheets by machine-learning interatomic potentials

description: Dara for manuscript entitled:  "Exploring thermal expansion of carbon-based nanosheets by machine-learning interatomic potentials"
"MTPs.zip" include fitted MTP potentials in this manuscript.
"Examples.zip" include three examples of developed input files for LAMMPS simulations of thermal expansion.
For the details of MTPs training refer to dataset in our previous publications:  
Advanced Materials 33 (35), 2102807  https://doi.org/10.1002/adma.202102807
DOI: 10.17632/jyyvrrsz44.1
title: Unveiling Circulating Targets in Pancreatic Cancer: Insights from Proteogenomic Evidence and Clinical Cohorts

description: Pancreatic cancer (PC), characterized by the absence of effective biomarkers and therapies, remains highly fatal. Data regarding the correlations between PC risk and individual plasma proteome known for minimally invasive biomarkers, are scarce. Here, we analyzed 1,345 human plasma proteins using Proteome-Wide Association Studies, identifying 78 proteins significantly associated with PC risk. Of these, four proteins (ROR1, FN1, APOA5, and ABO) showed the most substantial causal link to PC, confirmed through Mendelian Randomization and Colocalization analyses. Data from two clinical cohorts further demonstrated that FN1 and ABO were notably overexpressed in both blood and tumor samples from PC patients, compared to healthy controls or para-tumor tissues. Additionally, elevated FN1 and ABO levels correlated with shorter median survival in patients. Multiple drugs targeting FN1 or ROR1 are available or in clinical trials. These findings suggest that plasma protein FN1 associated with PC hold potential as both prognostic biomarkers and therapeutic targets. The raw immunostaining and ELISA data from our center’s cohort have been uploaded to the Mendeley database.
DOI: 10.17632/pcg6fz7hr5.2
title: Multimethod to prioritize projects evaluated in different formats

description: The prioritization of Research, Development & Innovation Projects is an essential step in the innovation management process. As a rule, it is carried out applying methods that allow one to process experts' preferences concerning each project according to criteria. However, there are different preference formats: Ordering of Alternatives, Utility Values, Multiplicative Preference Relations, Fuzzy Estimates, Fuzzy Preference Relations, to name a few; and each prioritization method processes only one of these formats. Thus, the following question arises: how do we prioritize projects taken from portfolios evaluated in different formats? This methodology presents a way to overcome this gap by achieving three main objectives: develop techniques that make it possible a crossover between preference formats and prioritization methods, merge two portfolios of projects built from different prioritization methods and prioritize projects evaluated from different formats. The results of this research are universal and can be applied to replace any method of prioritization. In the specific case, the attached databases bring the data and calculations that allow: 1.) changing valuations in value-for-profit format to the multiplicative relation format; 2.) replace the Mapping method with the Analytic Hierarchy Process method; 3.) include criteria of a quantitative nature; and 4.) replace the Analytic Hierarchy Process with the TODIM method. The attached file contains the following data: evaluations of four projects in a utility-value format and evaluations of three projects in a multiplicative relation format. It also contains the calculations to obtain the value of matrix consistency, fully consistent matrices and the ranking of projects. It also contains the necessary calculations to prioritize projects using the TODIM method.