cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14406320.v1
title: Data from: Brain morphology correlates of learning and cognitive flexibility in a fish species (Poecilia reticulata)

description: Determining how variation in brain morphology affects cognitive abilities is important to understand inter-individual variation in cognition and, ultimately, cognitive evolution. Yet, despite many decades of research in this area, there is surprisingly little experimental data available from assays that quantify cognitive abilities and brain morphology in the same individuals. Here, we tested female guppies (<em>Poecilia reticulata</em>) in two tasks, colour discrimination and reversal learning, to evaluate their learning abilities and cognitive flexibility. We then estimated the size of five brain regions: telencephalon, optic tectum, hypothalamus, cerebellum, and dorsal medulla, in addition to relative brain size. We found that optic tectum relative size – in relation to the whole brain – correlated positively with discrimination learning performance, while relative telencephalon size correlated positively with reversal learning performance. The other brain measures were not associated with performance in either task. By evaluating how fast learning occurs and how fast an animal adjusts its learning-rules to changing conditions, we find support for that different brain regions have distinct functional correlations at the individual level. Importantly, telencephalon size emerge as an important neural correlate of higher executive functions such as cognitive flexibility. This is rare evidence supporting that more neural tissue in key brain regions confers cognitive benefits.
DOI: 10.17632/7gsnxrrfkr
title: Tender Coconut Dataset
DOI: 10.17632/dy7smxr93r
title: Indoor Waste Image Dataset

description: To achieve automatic waste detection in indoor public places, we construct a high-quality indoor waste image dataset. This dataset is suitable for intelligent sweeping robots, and helps deep learning models achieve better performance in practical application scenarios. This dataset provides 4000 color images with a resolution of 1280x720. In addition, it covers four common waste categories, including paper, plastic, cap, and shell.
DOI: 10.17632/nx5br3nz59
title: Delft3D multidomain sample files

description: the folder contains input and setup files of the article An Alternative Method to Determine Extreme Hydrodynamic Forces with Data Limitations for Offshore Engineering
DOI: 10.17632/r5tfv3pp8k
title: Data for: Dataset on the green consumption behaviour amongst Malaysian consumers

description: The data consists of 375 samples of data for seven variables related to Green Consumption Behaviour - Environmental concern, Social influence, Perceived behavioural control, Consumer innovativeness – Novelty seeking and Green Consumption Behaviour alongside with Demographic information such as age, gender, education level, occupation, ethnicity, marital status, personal income, number of household, work category and Media consumption preference.
DOI: 10.17632/xd6hywpykg
title: Code for "Default and Development" JIE 2025

description: Replication package for data and code results for "Default and Development," by Lei Li and Gabriel Mihalache, conditionally accepted by the Journal of International Economics, 2025.

Abstract: We develop a quantitative theory of the long-run frequency of sovereign default, in which the government’s willingness to risk crises reflects the sectoral composition of the economy. Development and structural transformation alter the trade-offs faced by the government, with the implication that default is largely a lower income country phenomenon, as in the data. Default impacts adversely the balance sheets of financial intermediaries, who then offer unfavorable rates on working capital loans to producers. The resulting contraction in activity is asymmetric across sectors, based on their financing requirements, and tax revenues fall. Governments find it unappealing to risk default if the economy is more vulnerable to financial distress, due to a larger share of value added from manufacturing and services, even for the same Debt to GDP ratio. This mechanism supports the notion of countries eventually “graduating” from sovereign default crises.
DOI: 10.6084/m9.figshare.25213271.v3
title: Uncovering the nexus between urban heat islands and material stocks of built environment in 335 Chinese cities

description: We employed 1-km-resolution summer average temperatures to assess the spatiotemporal dynamics of the UHI phenomenon across 335 Chinese cities spanning from 1980 to 2020.
DOI: 10.17632/9wgnn35jcr
title: Hand hygiene intervention to optimise soil transmitted helminths infection control among primary school children: endline survey data from a cluster randomised trial

description: The data were obtained from an end line survey conducted in 16 public primary schools in Tanzania, 12 months after introduction of a hand hygiene intervention. After the annual mass drug administration targeting helminth (worm) infections in school children, we randomized eight schools to an intervention comprising teacher-led classroom teaching, parental engagement sessions, environmental modifications and improved handwashing stations while the remaining eight school in the control arm continued receiving routine health education. We targeted to collect data from 200 children in each school and we also conducted a sub-study on hand contamination involving approximately 40 children in each school. We hypothesised that the intervention would have an impact on the prevalence of soil transmitted helminth infections assessed using the combined prevalence of Ascaris and trichuris infections. We also assessed the intervention effect on the prevalence of individual worm infections i.e. prevalence of ascaris and then prevalence of trichuris. Apart from the intervention effect on worm infections we also assessed whether the intervention would impact on reported handwashing behaviour at school and home. We obtained adjusted intervention effects by adjusting for school level variables that showed imbalance at baseline for example ascaris infection prevalence, and access to piped water. In the hand contamination sub-study we hypothesised that the intervention would impact on the prevalence of hand contamination with bacterial load and worm eggs.
DOI: 10.17632/mt2vxgmgjn
title: Data for: Measurement and influential factors of the TFEE of coal resources of China's provinces Based on Bootstrap-DEA and Tobit

description: Raw ,processed data files,code
DOI: 10.17632/ddk84gsf4z
title: Spatial and household perception survey data on green spaces security in Sunyani Municipality in Ghana

description: The data on a household perception survey and geospatial data were acquired to study the security of green spaces in the Sunyani Municipality of Ghana. The household survey data is mainly on household characteristics such as gender, age, employment, educational attainment, years of stay in the community and residential status among others. The spatial data is on Landsat images acquired for the study area for the years 1989, 2003, 2013 and 2023. It includes data on the accuracy assessment of the Landsat images
DOI: 10.17632/f2syws66d7
title: EPIq: An open-source software for the calculation of electron-phonon interaction related properties

description: EPIq (Electron-Phonon wannier Interpolation over k and q-points) is an open-source software for the calculation of electron-phonon interaction related properties from first principles. Acting as a post-processing tool for a density-functional perturbation theory code (Quantum ESPRESSO) and wannier90, EPIq exploits the localization of the deformation potential in the Wannier function basis and the stationary properties of a force-constant functional with respect to the first-order perturbation of the electronic charge density to calculate many electron-phonon related properties with high accuracy and free from convergence issues related to Brillouin zone sampling. EPIq features include: the adiabatic and non-adiabatic phonon dispersion, superconducting properties (including the superconducting band gap in the Migdal-Eliashberg formulation), double-resonant Raman spectra and lifetime of excited carriers. The possibility to customize most of its input makes EPIq a versatile and interoperable tool. Particularly relevant is the interaction with the Stochastic Self-Consistent Harmonic Approximation (SSCHA) allowing anharmonic effects to be included in the calculation of electron-properties. The scalability offered by the Wannier representation combined with a straightforward workflow and easy-to-read input and output files make EPIq accessible to the wide condensed matter and material science communities.
DOI: 10.17632/gk9m674wcx
title: AZT1D: A Real-World Dataset for Type 1 Diabetes

description: High-quality real-world datasets are essential for advancing data-driven approaches in type 1 diabetes (T1D) management, including personalized therapy design, digital twin systems, and glucose prediction models. However, progress in this area has been limited by the scarcity of publicly available datasets that offer detailed and comprehensive patient data. To address this gap, we present AZT1D, a dataset containing data collected from 25 individuals with T1D on automated insulin delivery (AID) systems. AZT1D includes continuous glucose monitoring (CGM) data, insulin pump and insulin administration data, carbohydrate intake, and device mode (regular, sleep, and exercise) obtained over 6–8 weeks for each patient. Notably, the dataset provides granular details on bolus insulin delivery (i.e., total dose, bolus type, correction-specific amounts) features that are rarely found in existing datasets. By offering rich, naturalistic data, AZT1D supports a wide range of artificial intelligence and machine learning applications aimed at improving clinical decision-making and individualized care in T1D.
DOI: 10.17632/mc4h2wtf94
title: Healthcare network

description: Generation scheme of parameters of the relief network design model
DOI: 10.15468/dl.5k2d3z
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Platytroctes Günther, 1878",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((6.1346 -1.4131,6.0095 -1.0885,5.5445 -0.9058,5.2269 -1.0828,5.1089 -1.4368,5.2587 -1.812,5.5948 -1.957,6.0445 -1.7393,6.1346 -1.4131))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012917-250525065834625/datasets/export for details.
DOI: 10.17632/3p7ty852nw
title: Urban Crime Victimization Survey (UCVS)

description: the Urban Crime Victimization Survey (UCVS), a survey conducted between September and October 2016 throughout the seven administrative districts of Yaoundé city. The UCVS’s sampling design was based on a geographical stratification (seven strata retained matching each administrative district) and the use of a multistage-stage sampling procedure to select respondents. At the first stage, a total of 55 Primary Sampling Units (PSUs) within strata was randomly drawn with equal probability and without handing-over. In the absence of listing of households’ addresses or any voter registration roll, a systematic sampling approach was used to select 15 households in each sampled PSU at the second stage. Thus, enumerators were told to walk in a given direction from a central point in the PSU and attempt to interview households at a rate of one over five without exceeding the quota of 15 households to visit in each PSU. In total, 812 households were visited. The strategy in each household consisted to interview prior the household head (or direct representative) and another household member aged 18 or above. A total of 1,428 respondents (of whom 745 household heads) were face-to-face interviewed with an overall responding rate of 91.74%.
DOI: 10.17632/dht33mcst6
title: Fractal analysis - sandstone and limestone (thin sections, porosimetry, CT)

description: Raw and processed data from the Cergow sandstone and the Jurassic limestone. Includes SEM images of thin sections, mercury porosimetry and computed tomography. The data was used to carry out a fractal analysis. Differences in fractal dimension and lacunarity between samples located close to each other.
DOI: 10.17632/ww29xrsv56
title: Combined carbon and energy intensity benchmarks for sustainable retail stores

description: The tables present retrieved data of the highestrevenue retailers, namely: revenue rank, operational typology, number of stores, store sales area, energy intensity (EI), carbon intensity (CI) and number of workers. EI and CI benchmarks were calculated for food and non-food retailers, applying Q1 for the best practice, Q2 and Q3 for conventional practice and Q4 for worst practice. Correlations were tested between the variables "EI", "CI" and "retailer revenue". Additionally, cluster analysis were performed for food and non-food retailers, to identify possible segmentation patterns between the variables “EI”, “CI” and “retailer revenue”.
DOI: 10.17632/7tn76wdhsr
title: BanglaSarc3: A Benchmark Dataset for Bangla Sarcasm Detection from Social Media to Advance Bangla NLP

description: BanglaSarc3 dataset serves as a benchmark resource for sarcasm classification in Bangla, ensuring balanced category representation. The primary objective of BanglaSarc3 is to mitigate humor misinterpretation that often leads to digital conflicts and misunderstandings in online communication. To enhance dataset quality, preprocessing steps such as anonymization, duplicate removal, and text normalization were applied. Additionally, three native Bangla speakers independently reviewed and validated the labels, ensuring annotation reliability.

BanglaSarc3 introduce BanglaSarc3, a ternary-class dataset containing 12,089 Facebook comments, categorized as follows:
- Neutral: 4,056 comments
- Sarcastic: 4,012 comments
- Non-Sarcastic: 4,021 comments

The BanglaSarc3 dataset has significant implications across multiple NLP and AI domains, including:
1. Sarcasm Detection in Bangla Social Media
2. Sentiment and Emotion Analysis
3. Language Modeling and BNLP Advancements
4. Explainable AI (XAI) in Bangla NLP
5. Educational and Research Applications

The BanglaSarc3 dataset is openly available for academic and research purposes, fostering collaboration and innovation within the Bangla NLP community. By providing a robust foundation for sarcasm classification, this dataset aims to drive advancements in Bangla-centric AI applications, ensuring more inclusive and context-aware language models.
DOI: 10.17632/fn4snf9hcj
title: Approach or Avoidance: How Does Employees’ Generative AI Awareness Shape Their Job Crafting Behavior? A Sensemaking Perspective

description: We engaged 315 participants from Credamo platform, a well-established and reliable source for large-scale data collection. We gathered survey data across three distinct time points, each separated by a two-week interval. During the first time point, we invited 600 participants to provide information on their gender, age, education level, and the frequency of using Gen AI. Additionally, we asked them to provide ratings on their individual regulatory focus, AI awareness and perceived CSR. We obtained 590 responses, which corresponds to a high response rate of 98%. During the second time point, we invited the 590 participants who responded at Time 1 to rate on their work passion. We received 540 responses, resulting in a response rate of 90%. At Time 3, we invited the 540 respondents to complete the final assessment, in which they rated their job crafting behaviors. In all, 316 participants returned their responses, yielding a response rate of 88%.
DOI: 10.6084/m9.figshare.27321801.v1
title: <b>Quantum Neural Network-Based Approach for Optimizing Road Network Selectio</b><b>n</b>

description: Road network selection is a pivotal yet challenging task in cartographic generalization. As neural network technology continues to advance, intelligent methods for road network selection have emerged as a key research area. However, the expanding scale of road networks has led to concerns regarding model training efficiency and resource consumption. Quantum neural networks, leveraging their unique properties of superposition and entanglement, present remarkable advantages for handling large-scale, complex, and nonlinear data. In this paper, we propose a novel framework for road network selection based on quantum neural networks. We design a comprehensive feature set that takes into account various factors, including terrain, settlements, and surrounding density. Our study delves into the impact of feature encoding methods and circuit structures on the performance of quantum neural networks in road selection. We also evaluate the proposed model's performance across different scales, regions, and data volumes. The results demonstrate the feasibility and effectiveness of our approach when compared to existing classical neural network models, offering a promising solution for large-scale road network selection.
DOI: 10.17632/g5332zkn29
title: Data on multigenerational diversity management on employee behavioural outcomes

description: The aim of this article was to assess the role of multigenerational diversity management on employee behavioural outcomes. This data intends to test all hypotheses in their null form: H1: Flexible leadership do not play any significant role in enhancing the quality of employee involvement in an organization. H2: Mentoring do not significantly affect citizenship behaviour in an organization. H3: Learning and development do not significantly determine the level of employee commitment in the organization. H4: Intergenerational Cooperation do not significantly influence turnover intentions in the organization. H5: Recognition do not significantly increase employee job satisfaction outcomes in the organization. A total of 290 copies of questionnaires were administered using stratified and simple random sampling techniques sampling method out of which 253 copies of the questionnaire were valid and functional for this research. The descriptive method of analysis was adopted, hypothesis was tested using linear regression. The data showed that flexible leadership has a significant effect on employee involvement, mentoring has a positive influence on organisational citizenship behaviours of employees, learning and development has a significant impact on employee commitment, intergenerational cooperation has no significant influence on turnover intentions, while, employee recognition impacts significantly on job satisfaction. Presented data are relevant to both employees, management, researchers and policy makers. The article recommends that management teams be more responsive to the complexities facing the 21st century multigenerational workforce through the implementation of multigenerational diversity management strategies in other to make work more inspiring.
DOI: 10.17632/j28vhs37n8
title: MATLAB scripts for processing and post-processing experimental data for "Crystallization and jamming in narrow fluidized beds"

description: This data presents MATLAB scripts and data in order to reproduce the figures and videos obtained for the article "Crystallization and jamming in narrow fluidized beds"
DOI: 10.6084/m9.figshare.5441014.v1
title: Supplementary Material for: Cerebellar Infarction: Unusual Manifestation with Facial Palsy, Focal Seizures, and Secondary Generalization

description: <i>Background:</i> Cerebellar infarction is exceedingly rare in neonates, usually occurring after traumatic birth. Lifelong sequelae can result from cerebellar damage with disorders of motor function, ataxia, and also cognitive dysfunction. <i>Objectives/Methods:</i> We report the clinical presentation of a preterm triplet infant delivered by elective cesarean who showed peripheral facial palsy immediately after birth. <i>Results:</i> Tonic seizures with high-voltage discharges over the contralateral cerebral hemisphere and secondary generalization were successfully treated with phenobarbital. Transnuchal ultrasound through the foramen magnum and subsequent MRI examinations revealed infarction of the left cerebellar hemisphere. <i>Conclusions:</i> In newborn infants, acute cerebellar stroke may have direct epileptogenic potential.
DOI: 10.17632/5b8h5hszdg
title: COVID-19 in melanoma patients. Spanish Register

description: Supplementary material of the manuscript "COVID-19 in Melanoma Patients: Results of the Spanish Melanoma Group Registry, GRAVID study"
DOI: 10.17632/6n6d3fkkpc
title: Data for: Microbial-mediated bastnaesite dissolution as a viable source of clay-adsorbed rare earth elements in the regolith-hosted deposits

description: Research data of a manuscript entitled "Microbial-mediated bastnaesite dissolution as a viable source of clay-adsorbed rare earth elements in the regolith-hosted deposits"
DOI: 10.17632/4vh76mnkv5
title: WanTiBEXOS: A Wannier based Tight Binding code for electronic band structure, excitonic and optoelectronic properties of solids

description: The Bethe–Salpeter equation (BSE) approach becomes a methodology commonly used for simulating excitonic and optical properties in computer materials sciences. However, BSE approach based directly on first principles demands a high computational cost, being prohibitive for larger systems. In order to overcome this challenge, we have developed WanTiBEXOS, a parallel computational FORTRAN code, constituted of a maximally localized Wannier functions based tight-binding (MLWF-TB) model in conjunction with BSE framework. The MLWF-TB Hamiltonian used in WanTiBEXOS package can be obtained via any density functional theory package interfaced with Wannier90 code. It's expected, due MLWF-TB formalism, a computational time reduction around one or more orders of magnitude in comparison with BSE ab initio implementations. In order to demonstrate its reliability, flexibility, efficiency and versatility of WanTiBEXOS, we simulate electronic and optical property calculations for the representative materials, including conventional bulk semiconductors, perovskites, nano-monolayer materials and van der Waals heterostructures.
DOI: 10.17632/sgn96vfxr4
title: Data and Materials for "How Transgressor’s Moral Identity Leads to High-Quality Apologies: The Positive Effects of Guilt"

description: Comprehensive apologies are effective strategies to solve interpersonal conflict and promote reconciliation. However, transgressors tend to avoid providing comprehensive apologies because it is more threatening to do so. As a result, transgressors usually offer perfunctory apologies and hinder their own chances of being forgiven. Given the importance of promoting high-quality apologies, we investigate the role of moral identity in increasing apology comprehensiveness. Across three studies using a combination of experimental and correlational designs with autobiographical recall paradigm, we demonstrate that transgressors high in moral identity feel guiltier after committing a transgression. As a result, they offer more comprehensive apologies. Moreover, the effects of guilt on transgressors’ apologizing are conditional on the perceived apology effectiveness. Guilt is particularly important to boost apology quality when perceived apology effectiveness is low. In such cases, guilt leads transgressors to make more reparative efforts towards reconciliation despite the low possibility of apology’s acceptance.
DOI: 10.17632/y4mys9pzvd
title: Data for: Survey Data of Multidrug-Resistant Tuberculosis, Tuberculosis Patients Characteristics and Stress Resilience During COVID-19 Pandemic In West Sumatera Province, Indonesia

description: Raw data Analyzed Filtered (descriptive and inferential statistics)