cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/kbpn92jxth
title: LINF_260013800

description: 40S ribosomal protein S16 | uS9; Leishmania infantum (strain JPCM5)
DOI: 10.17632/kbpn92jxth.2
title: LINF_260013800

description: 40S ribosomal protein S16 | uS9; Leishmania infantum (strain JPCM5)
DOI: 10.17632/xjj26665dz
title: Can AI Think Like a Mufti? Evaluating the Semantic and Jurisprudential Fidelity of Large Language Models in Islamic Finance

description: This data is related to a study on generative AI and Islamic finance
DOI: 10.15468/dl.zdsjdv
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nardus stricta",
 "Country is New Zealand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 47 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013442-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/xjj26665dz.1
title: Can AI Think Like a Mufti? Evaluating the Semantic and Jurisprudential Fidelity of Large Language Models in Islamic Finance

description: This data is related to a study on generative AI and Islamic finance
DOI: 10.17632/5g396n2cbx
title: LINF_260013700

description: 40S ribosomal protein S16 | uS9; Leishmania infantum (strain JPCM5)
DOI: 10.17632/5g396n2cbx.2
title: LINF_260013700

description: 40S ribosomal protein S16 | uS9; Leishmania infantum (strain JPCM5)
DOI: 10.17632/248653f78y
title: D2025_gamification

description: Dataset of gamification survey
DOI: 10.17632/248653f78y.1
title: D2025_gamification

description: Dataset of gamification survey
DOI: 10.17632/nw7yd5hvg3.3
title: Dataset_A joint distribution–random forest framework

description: This dataset supports the study of “A joint distribution–random forest framework for quantifying the spatiotemporal variability in occurrence probability of wind erosion considering air density variations“. The dataset contains seasonal and spatially resolved calculations of air density, wind speed, and occurrence probability of wind erosion derived from meteorological station data and statistical modeling.

Specifically, the dataset includes:

1. Seasonal mean air density at meteorological stations within the interpolation region.
2. Input variables used for constructing the random forest model.
3. Calculation of threshold wind velocity.
4. Wind speed distribution parameters derived from the joint probability density functions (JPDFs) of air density and wind speed under different seasonal mean air density conditions.
5. Predicted wind speed distribution parameters for each pixel and the corresponding occurrence probability of wind erosion calculated by combining the threshold wind velocity.
6. Seasonal variation in the occurrence probability of wind erosion for each pixel.
7. Seasonal variation of maximum occurrence probability of wind erosion for each pixel and the corresponding season of the maximum value

The data are provided in structured folders with descriptive filenames. All variables are documented in the accompanying CSV files, and results are intended to support spatial analysis, model validation, and future environmental applications related to wind erosion under varying climate conditions.
DOI: 10.17632/cspd42s5th
title: LINF_260012900

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/cspd42s5th.1
title: LINF_260012900

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/m6gd7jp776
title: Latent Profiles of Appetitive and Emotion-Related Impulsivity Traits

description: Dataset of a latent profile analysis (LPA) study that classified eating styles based on appetitive and emotion-related impulsivity traits, in a non-clinical sample of 232 adults who completed a series of online questionnaires. We expected the following classes to emerge: (1) High Impulse and Appetite Self-Regulation (lowest emotion-related impulsivity, highest food avoidance, and lowest food approach); (2) Impulse Dysregulation and Appetite Self-Regulation (higher emotion-related impulsivity and food avoidance, but lower food approach); (3) Impulse Self-Regulation and Appetite Dysregulation (lower emotion-related impulsivity, lowest food avoidance, and highest food approach); and (4) Impulse and Appetite Dysregulation (highest emotion-related impulsivity, lower food avoidance, and higher food approach). Results of LPA analyses on the dataset without multivariate outliers (N = 223) identified four eating styles: Resilient Eaters (23.30%), showing the lowest food responsiveness and emotion-related impulsivity; Moderate Eaters (46.27%), with the highest food avoidance and higher behavioral emotion-related impulsivity; Hedonic Eaters (14.03%), exhibiting the highest enjoyment of food and lower emotion-related impulsivity; and Impulsive Eaters (16.40%), with the highest food responsiveness and emotion-related impulsivity.
DOI: 10.17632/m6gd7jp776.1
title: Latent Profiles of Appetitive and Emotion-Related Impulsivity Traits

description: Dataset of a latent profile analysis (LPA) study that classified eating styles based on appetitive and emotion-related impulsivity traits, in a non-clinical sample of 232 adults who completed a series of online questionnaires. We expected the following classes to emerge: (1) High Impulse and Appetite Self-Regulation (lowest emotion-related impulsivity, highest food avoidance, and lowest food approach); (2) Impulse Dysregulation and Appetite Self-Regulation (higher emotion-related impulsivity and food avoidance, but lower food approach); (3) Impulse Self-Regulation and Appetite Dysregulation (lower emotion-related impulsivity, lowest food avoidance, and highest food approach); and (4) Impulse and Appetite Dysregulation (highest emotion-related impulsivity, lower food avoidance, and higher food approach). Results of LPA analyses on the dataset without multivariate outliers (N = 223) identified four eating styles: Resilient Eaters (23.30%), showing the lowest food responsiveness and emotion-related impulsivity; Moderate Eaters (46.27%), with the highest food avoidance and higher behavioral emotion-related impulsivity; Hedonic Eaters (14.03%), exhibiting the highest enjoyment of food and lower emotion-related impulsivity; and Impulsive Eaters (16.40%), with the highest food responsiveness and emotion-related impulsivity.
DOI: 10.17632/ysx2x9g6bp
title: Supplementary Material

description: This study represents the first report on the application of FC method with novel oligonucleotide probes for multiplex quantification of viable probiotics. The developed method is successful applicable for the detection of yoghurt during fermentation and in final products, providing a reliable foundation for fermentation monitoring and quality assessing of yoghurt.
DOI: 10.17632/ysx2x9g6bp.1
title: Supplementary Material

description: This study represents the first report on the application of FC method with novel oligonucleotide probes for multiplex quantification of viable probiotics. The developed method is successful applicable for the detection of yoghurt during fermentation and in final products, providing a reliable foundation for fermentation monitoring and quality assessing of yoghurt.
DOI: 10.15468/dl.u59q5x
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nardus stricta",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 40 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013443-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/h26xkghdvd.1
title: Metabolomics Data- ACBP: a poor-prognosis biomarker in sepsis and a target for disease mitigation
DOI: 10.17632/cs8n9h2dwf
title: Population aging and intensified economic downside risk: Evidence from China

description: Replication Package for Population aging and intensified economic downside risk: Evidence from China, submitted to Economic Modelling (ECMODE-D-24-02239)
DOI: 10.17632/cs8n9h2dwf.1
title: Population aging and intensified economic downside risk: Evidence from China

description: Replication Package for Population aging and intensified economic downside risk: Evidence from China, submitted to Economic Modelling (ECMODE-D-24-02239)
DOI: 10.5281/zenodo.17012197
title: LECTURE NOTES ON DIFFERENTIAL CALCULUS PROBLEMS & SOLUTIONS

description: This book offers the following chapters Concepts of Limits and Continuity, Differentiability, Rolle's and Mean Value Theorem, Successive Differentiation (Leibnitz's Theorem), Expansion of Functions (Taylor's and Maclaurin's Series), Asymptotes, Curvature, Double Points and Curve Tracing. Each chapter is supplemented with a number of worked out examples as well as number of problems to be solved by the students. This would help in the better understanding of the subject.
DOI: 10.5281/zenodo.17012198
title: LECTURE NOTES ON DIFFERENTIAL CALCULUS PROBLEMS & SOLUTIONS

description: This book offers the following chapters Concepts of Limits and Continuity, Differentiability, Rolle's and Mean Value Theorem, Successive Differentiation (Leibnitz's Theorem), Expansion of Functions (Taylor's and Maclaurin's Series), Asymptotes, Curvature, Double Points and Curve Tracing. Each chapter is supplemented with a number of worked out examples as well as number of problems to be solved by the students. This would help in the better understanding of the subject.
DOI: 10.17632/3ffkvnzypc
title: Dataset for “The relationship between social media use and self-esteem among Chinese adolescents: The mediating role of positive body image”

description: This dataset contains the de-identified raw data, analysis syntax, and supplementary materials supporting the findings reported in the manuscript by Liu et al. (under review at Body Image). Data were collected in two complementary studies approved by the Academic Ethics Committee of the School of Psychology, Northwest Normal University (approval no. 2023-03-012). Written informed consent was obtained from all participants and their guardians.
Files & formats
Study1_RawData.csv – experimental data (n = 152; between-subjects factors: gender, image condition; within-subjects factor: pre/post self-esteem).
Study2_RawData.csv – survey data (n = 961; variables: social-media-use scale, BAS-2, RSES, gender, grade, urban/rural).
Codebook.pdf – variable labels, reverse-scoring rules, and scale references.
Analysis_Syntax.sps – SPSS PROCESS code used for mediation analyses.
README.txt – step-by-step instructions to reproduce all results and tables.
Licence
CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Users must cite the original publication and indicate any modifications.
Citation
Liu, X., Zhang, K., Cao, Y., & Chen, S. (2024). Dataset for “The relationship between social media use and self-esteem among Chinese adolescents: The mediating role of positive body image”. Mendeley Data, V1, doi:10.17632/XXXXXX.
Contact
Corresponding author: Xiancui Liu, School of Psychology, Northwest Normal University, No. 967 Anning East Road, Lanzhou 730070, China. E-mail: psychology418@163.com
DOI: 10.17632/3ffkvnzypc.1
title: Dataset for “The relationship between social media use and self-esteem among Chinese adolescents: The mediating role of positive body image”

description: This dataset contains the de-identified raw data, analysis syntax, and supplementary materials supporting the findings reported in the manuscript by Liu et al. (under review at Body Image). Data were collected in two complementary studies approved by the Academic Ethics Committee of the School of Psychology, Northwest Normal University (approval no. 2023-03-012). Written informed consent was obtained from all participants and their guardians.
Files & formats
Study1_RawData.csv – experimental data (n = 152; between-subjects factors: gender, image condition; within-subjects factor: pre/post self-esteem).
Study2_RawData.csv – survey data (n = 961; variables: social-media-use scale, BAS-2, RSES, gender, grade, urban/rural).
Codebook.pdf – variable labels, reverse-scoring rules, and scale references.
Analysis_Syntax.sps – SPSS PROCESS code used for mediation analyses.
README.txt – step-by-step instructions to reproduce all results and tables.
Licence
CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Users must cite the original publication and indicate any modifications.
Citation
Liu, X., Zhang, K., Cao, Y., & Chen, S. (2024). Dataset for “The relationship between social media use and self-esteem among Chinese adolescents: The mediating role of positive body image”. Mendeley Data, V1, doi:10.17632/XXXXXX.
Contact
Corresponding author: Xiancui Liu, School of Psychology, Northwest Normal University, No. 967 Anning East Road, Lanzhou 730070, China. E-mail: psychology418@163.com
DOI: 10.17632/tn9t93fkzp
title: Soil Respiration, Priming Effect, and Soil Properties under Different Amendments

description: The data presents the respiration rates, cumulative carbon emissions, and priming effect of various amended soils, alongside measurements of soil inorganic carbon, organic carbon, microbial biomass carbon, and pH.
DOI: 10.17632/tn9t93fkzp.1
title: Soil Respiration, Priming Effect, and Soil Properties under Different Amendments

description: The data presents the respiration rates, cumulative carbon emissions, and priming effect of various amended soils, alongside measurements of soil inorganic carbon, organic carbon, microbial biomass carbon, and pH.
DOI: 10.17632/997jyy9b34
title: Bayat et al.

description: Main and Supplementary Data
DOI: 10.17632/997jyy9b34.1
title: Bayat et al.

description: Main and Supplementary Data
DOI: 10.17632/wsm4vfxvsf.1
title: Lobster Sound Dataset

description: The following lobster sounds dataset was collected from Johnshaven in Scotland between June 16 to June 18, 2024.
DOI: 10.17632/723d4m4z9x
title: GRANAD - Simulating GRAphene nanoflakes with ADatoms

description: GRANAD is a program based on the tight-binding approximation to simulate optoelectronic properties of graphene nanoflakes and Su–Schrieffer–Heeger (SSH) chains with possible adatom defects under electromagnetic illumination. Its core feature is the numerical solution of a time-domain master equation for the spin-traced one-particle reduced density matrix. It provides time-resolved evolution of charge distributions, access to induced-field dynamics, and characterization of the plasmonic response. Other computable quantities include energy profiles, electron distribution in real space, and absorption spectra. GRANAD is written in Python and relies on the JAX library for high-performance array computing, just-in-time (JIT) compilation, and differentiability. It is intended to be lightweight, portable, and easy to set up, offering a transparent and efficient way to access the properties of low-dimensional carbon structures from the nanoscale to the mesoscopic regime. GRANAD is open source, with the full code and extensive documentation with usage examples available at https://github.com/GRANADlauncher/granad.git.
DOI: 10.17632/723d4m4z9x.1
title: GRANAD - Simulating GRAphene nanoflakes with ADatoms

description: GRANAD is a program based on the tight-binding approximation to simulate optoelectronic properties of graphene nanoflakes and Su–Schrieffer–Heeger (SSH) chains with possible adatom defects under electromagnetic illumination. Its core feature is the numerical solution of a time-domain master equation for the spin-traced one-particle reduced density matrix. It provides time-resolved evolution of charge distributions, access to induced-field dynamics, and characterization of the plasmonic response. Other computable quantities include energy profiles, electron distribution in real space, and absorption spectra. GRANAD is written in Python and relies on the JAX library for high-performance array computing, just-in-time (JIT) compilation, and differentiability. It is intended to be lightweight, portable, and easy to set up, offering a transparent and efficient way to access the properties of low-dimensional carbon structures from the nanoscale to the mesoscopic regime. GRANAD is open source, with the full code and extensive documentation with usage examples available at https://github.com/GRANADlauncher/granad.git.
DOI: 10.17632/6wwct9thmz
title: Very Small Power Producer (VSPP) Steam Turbine Operational Dataset

description: This dataset contains operational measurements of thermal, pressure, and vibration signals collected from Very Small Power Producer (VSPP) steam turbines in Thailand. The data were acquired from multiple sensor points installed across turbine components and preprocessed using outlier removal techniques, making it suitable for condition monitoring, anomaly detection, and predictive maintenance research in steam turbine systems.
DOI: 10.17632/6wwct9thmz.1
title: Very Small Power Producer (VSPP) Steam Turbine Operational Dataset

description: This dataset contains operational measurements of thermal, pressure, and vibration signals collected from Very Small Power Producer (VSPP) steam turbines in Thailand. The data were acquired from multiple sensor points installed across turbine components and preprocessed using outlier removal techniques, making it suitable for condition monitoring, anomaly detection, and predictive maintenance research in steam turbine systems.
DOI: 10.17632/rpdck8shv4
title: Targeted Screening for Fragile X Disorders among Nigerian Children with neurodevelopmental delays and women with suspected FXPOI

description: This pilot dataset provides information for targeted screening of Fragile X disorders from sixty-six participants. Sociodemographic characteristics, clinical profiles, and other relevant data were collected from Nigerian children with autism, intellectual disability, or global developmental delay, as well as adult females with premature menopause and/or primary ovarian insufficiency.
DOI: 10.17632/rpdck8shv4.1
title: Targeted Screening for Fragile X Disorders among Nigerian Children with neurodevelopmental delays and women with suspected FXPOI

description: This pilot dataset provides information for targeted screening of Fragile X disorders from sixty-six participants. Sociodemographic characteristics, clinical profiles, and other relevant data were collected from Nigerian children with autism, intellectual disability, or global developmental delay, as well as adult females with premature menopause and/or primary ovarian insufficiency.
DOI: 10.17632/twtyc2zbv8
title: The nuclear pore complex connects energy sensing to transcriptional plasticity in longevity

description: As the only gateway governing nucleocytoplasmic transport, the nuclear pore complex (NPC) maintains fundamental cellular processes and deteriorates with age. However, the study of age-related roles of single NPC components remains challenging owing to the complexity of NPC composition. Here we demonstrate that the master energy sensor, AMPK, post-translationally regulates the abundance of the nucleoporin NPP-16/NUP50 in response to nutrient availability and energetic stress. In turn, NPP-16/NUP50 promotes transcriptomic activation of lipid catabolism to extend the lifespan of Caenorhabditis elegans independently of its role in nuclear transport. Rather, the intrinsically disordered region (IDR) of NPP-16/NUP50, through direct interaction with the transcriptional machinery, transactivates the promoters of catabolic genes. Remarkably, elevated NPP-16/NUP50 levels are sufficient to promote longevity and metabolic stress defenses. AMPK-NUP50 signaling is conserved to human, indicating that bridging energy sensing to metabolic adaptation is an ancient role of this signaling axis. 
The datasets contain all the unprocessed and uncompressed imaging data from this research.
DOI: 10.17632/twtyc2zbv8.1
title: The nuclear pore complex connects energy sensing to transcriptional plasticity in longevity

description: As the only gateway governing nucleocytoplasmic transport, the nuclear pore complex (NPC) maintains fundamental cellular processes and deteriorates with age. However, the study of age-related roles of single NPC components remains challenging owing to the complexity of NPC composition. Here we demonstrate that the master energy sensor, AMPK, post-translationally regulates the abundance of the nucleoporin NPP-16/NUP50 in response to nutrient availability and energetic stress. In turn, NPP-16/NUP50 promotes transcriptomic activation of lipid catabolism to extend the lifespan of Caenorhabditis elegans independently of its role in nuclear transport. Rather, the intrinsically disordered region (IDR) of NPP-16/NUP50, through direct interaction with the transcriptional machinery, transactivates the promoters of catabolic genes. Remarkably, elevated NPP-16/NUP50 levels are sufficient to promote longevity and metabolic stress defenses. AMPK-NUP50 signaling is conserved to human, indicating that bridging energy sensing to metabolic adaptation is an ancient role of this signaling axis. 
The datasets contain all the unprocessed and uncompressed imaging data from this research.
DOI: 10.17632/kb74cx5jfk.1
title: Dados Projeto Alecrim - 1º fase
DOI: 10.17632/rg6cvn377g
title: Design Expert Experimental Runs

description: This dataset contains the experimental results of the photocatalytic degradation of metronidazole (MNZ) using TiO2/ZnO nanocomposites. The experiments were designed using Response Surface Methodology (RSM) based on Central Composite Design (CCD) to investigate and optimize the effects of operational parameters including pH, irradiation time, MNZ concentration, and catalyst dosage on the degradation efficiency of MNZ.

The dataset includes:
Input variables (factors): pH, irradiation time, MNZ concentration, catalyst dosage.

Output (response): Degradation efficiency of MNZ (%).

Experimental design: Central Composite Design via RSM.
DOI: 10.17632/rg6cvn377g.1
title: Design Expert Experimental Runs

description: This dataset contains the experimental results of the photocatalytic degradation of metronidazole (MNZ) using TiO2/ZnO nanocomposites. The experiments were designed using Response Surface Methodology (RSM) based on Central Composite Design (CCD) to investigate and optimize the effects of operational parameters including pH, irradiation time, MNZ concentration, and catalyst dosage on the degradation efficiency of MNZ.

The dataset includes:
Input variables (factors): pH, irradiation time, MNZ concentration, catalyst dosage.

Output (response): Degradation efficiency of MNZ (%).

Experimental design: Central Composite Design via RSM.
DOI: 10.17632/tn42tykb2z
title: Supplemental data for Early life oxidant pollutant exposure induces lung redox and RAAS dysregulation: Implications for innate immune responses

description: Supplemental data for Early life oxidant pollutant exposure induces lung redox and RAAS dysregulation: Implications for innate immune responses to respiratory infections
DOI: 10.17632/tn42tykb2z.2
title: Supplemental data for Early life oxidant pollutant exposure induces lung redox and RAAS dysregulation: Implications for innate immune responses

description: Supplemental data for Early life oxidant pollutant exposure induces lung redox and RAAS dysregulation: Implications for innate immune responses to respiratory infections