cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/kvv4bjwrxr
title: CSEB and CUSEB in fiber woven earth

description: This database is a systematic collection of experimental data on fiber-modified Compressed Stabilized Earth Blocks (CSEB) and Compressed Unstabilized Earth Blocks (CUSEB). Comprising 18 structured Excel appendices, it covers the full lifecycle of earth block research—from material formulation and preparation parameters to performance characterization—serving as a valuable resource for researchers, engineers, and practitioners in sustainable construction, earth materials science, and green building technology.
The database is divided into two core material systems: CUSEB (7 appendices) and CSEB (10 appendices), plus one appendix on fiber types. The CUSEB dataset includes basic material properties (20 entries), soil properties and preparation parameters (14 sets), and key performance metrics: water absorption (5 records), bulk density (8 data points), thermal properties (18 entries), compressive strength (72 results), and flexural strength (40 records). This enables detailed analysis of how fiber modification affects the physical, mechanical, and thermal behavior of unstabilized earth blocks.
As the larger component, the CSEB dataset offers more extensive data: basic information (38 entries), soil properties and preparation parameters (35 sets), water absorption (17 records), bulk density (15 data points), and thermal properties (115 entries). A key feature is its detailed compressive strength data, split into three categories—cement-stabilized (146 entries), lime-stabilized (60 entries), other stabilizers (29 entries)—plus a general dataset (223 entries). It also includes 87 flexural strength records, providing a complete mechanical profile.
Supplementing both systems is an appendix documenting 14 fiber types, providing context on fiber materials and enabling comparative analysis of fiber effectiveness. Across all appendices, the database uses consistent structuring with clearly labeled columns (fiber type, stabilizer dosage, curing conditions, performance results), ensuring easy data retrieval and analysis.
This database fills a key gap in existing literature with a centralized, structured collection of fiber-modified earth block data. It supports diverse research applications: developing predictive models, optimizing fiber-stabilizer combinations, comparing CSEB vs. CUSEB performance, and formulating best practices for sustainable earth construction. Its comprehensiveness makes it valuable for academic research, industry product development, and green building policy.
DOI: 10.17632/kvv4bjwrxr.1
title: CSEB and CUSEB in fiber woven earth

description: This database is a systematic collection of experimental data on fiber-modified Compressed Stabilized Earth Blocks (CSEB) and Compressed Unstabilized Earth Blocks (CUSEB). Comprising 18 structured Excel appendices, it covers the full lifecycle of earth block research—from material formulation and preparation parameters to performance characterization—serving as a valuable resource for researchers, engineers, and practitioners in sustainable construction, earth materials science, and green building technology.
The database is divided into two core material systems: CUSEB (7 appendices) and CSEB (10 appendices), plus one appendix on fiber types. The CUSEB dataset includes basic material properties (20 entries), soil properties and preparation parameters (14 sets), and key performance metrics: water absorption (5 records), bulk density (8 data points), thermal properties (18 entries), compressive strength (72 results), and flexural strength (40 records). This enables detailed analysis of how fiber modification affects the physical, mechanical, and thermal behavior of unstabilized earth blocks.
As the larger component, the CSEB dataset offers more extensive data: basic information (38 entries), soil properties and preparation parameters (35 sets), water absorption (17 records), bulk density (15 data points), and thermal properties (115 entries). A key feature is its detailed compressive strength data, split into three categories—cement-stabilized (146 entries), lime-stabilized (60 entries), other stabilizers (29 entries)—plus a general dataset (223 entries). It also includes 87 flexural strength records, providing a complete mechanical profile.
Supplementing both systems is an appendix documenting 14 fiber types, providing context on fiber materials and enabling comparative analysis of fiber effectiveness. Across all appendices, the database uses consistent structuring with clearly labeled columns (fiber type, stabilizer dosage, curing conditions, performance results), ensuring easy data retrieval and analysis.
This database fills a key gap in existing literature with a centralized, structured collection of fiber-modified earth block data. It supports diverse research applications: developing predictive models, optimizing fiber-stabilizer combinations, comparing CSEB vs. CUSEB performance, and formulating best practices for sustainable earth construction. Its comprehensiveness makes it valuable for academic research, industry product development, and green building policy.
DOI: 10.17632/df72gk5jky
title: ABPTP

description: The repository comprise of three files named as data.csv, data.xlsx and data3.csv. The data files are the raw data and the data3 file is obtained by removing the replicated dataset. The data3 comprise of 250 sets of data with 5 columns named as CD, pHD1, TS1, pHD2 and CH4. The CH4 is the output obtainedfrom the experiment whose inputs are CD, pHD1, TS1 and pHD2.
DOI: 10.17632/df72gk5jky.1
title: ABPTP

description: The repository comprise of three files named as data.csv, data.xlsx and data3.csv. The data files are the raw data and the data3 file is obtained by removing the replicated dataset. The data3 comprise of 250 sets of data with 5 columns named as CD, pHD1, TS1, pHD2 and CH4. The CH4 is the output obtainedfrom the experiment whose inputs are CD, pHD1, TS1 and pHD2.
DOI: 10.17632/2jjbknv7g6
title: data of Hydrodynamic performance of Catamaran Formation

description: This dataset contains data from the study on resistance and hydrodynamic performance of two-catamaran formations. The data that support the findings of this study are available from the corresponding author, upon reasonable request.
DOI: 10.17632/2jjbknv7g6.1
title: data of Hydrodynamic performance of Catamaran Formation

description: This dataset contains data from the study on resistance and hydrodynamic performance of two-catamaran formations. The data that support the findings of this study are available from the corresponding author, upon reasonable request.
DOI: 10.17632/665fyhf9v4
title: MNC-BR-CATENA

description: Physicochemical properties and biological indexes of rhizosphere-bulk soil
DOI: 10.17632/665fyhf9v4.1
title: MNC-BR-CATENA

description: Physicochemical properties and biological indexes of rhizosphere-bulk soil
DOI: 10.17632/8688bgxyt5
title: Data Set_Consumer Values and Patronage Intention

description: The extended dataset contains anonymised survey data collected from 378 consumers with prior experience using smart technologies in phygital retail environments (Smart and Go units), of which 312 valid responses were retained after data cleaning. It includes the raw survey responses, the cleaned and processed dataset, and the operationalisation of constructs with corresponding questionnaire items. The data were analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM) in SmartPLS 4, involving measurement and structural model assessment, reliability and validity testing, bootstrapping with 5,000 subsamples for hypothesis and mediation analysis, and the Cross-Validated Predictive Ability Test (CVPAT) to evaluate out-of-sample predictive performance. All data have been anonymised and are provided to support transparency, replication, and secondary analysis in research on phygital retailing and consumer behaviour.
DOI: 10.17632/8688bgxyt5.1
title: Data Set_Consumer Values and Patronage Intention

description: The extended dataset contains anonymised survey data collected from 378 consumers with prior experience using smart technologies in phygital retail environments (Smart and Go units), of which 312 valid responses were retained after data cleaning. It includes the raw survey responses, the cleaned and processed dataset, and the operationalisation of constructs with corresponding questionnaire items. The data were analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM) in SmartPLS 4, involving measurement and structural model assessment, reliability and validity testing, bootstrapping with 5,000 subsamples for hypothesis and mediation analysis, and the Cross-Validated Predictive Ability Test (CVPAT) to evaluate out-of-sample predictive performance. All data have been anonymised and are provided to support transparency, replication, and secondary analysis in research on phygital retailing and consumer behaviour.
DOI: 10.17632/gc9226ztz7
title: Long-term hydro-ecological reacher datas

description: This is the original data serving as the basis for this research.
DOI: 10.17632/gc9226ztz7.1
title: Long-term hydro-ecological reacher datas

description: This is the original data serving as the basis for this research.
DOI: 10.17632/y6jt3s97rj
title: TISON: A Web Server for Omics-driven Integrative Cancer Modeling & Simulations towards Personalized Medicine

description: Dataset - I - Networks Editor Case Studies
Dataset - II - Therapeutics Editor Case Studies
Dataset - III - Personalized Therapeutics
DOI: 10.17632/y6jt3s97rj.1
title: TISON: A Web Server for Omics-driven Integrative Cancer Modeling & Simulations towards Personalized Medicine

description: Dataset - I - Networks Editor Case Studies
Dataset - II - Therapeutics Editor Case Studies
Dataset - III - Personalized Therapeutics
DOI: 10.17632/ps5j6w5hjb
title: Major and Trace Elements in Kermadec Arc and MORB Glasses

description: This dataset contains supplementary data to manuscript by Timm, C., Portnyagin, M., de Ronde, C.E.J., Hannington, M.D., Garbe-Schönberg, D., Hoernle, K., Brandl, P.A., Layton-Metthews, D., Leybourne, M., Sushchevskaya, N.M., Taylor, R.N., and Arculus, R.J. "Hydrous mantle melting controls gold enrichment in Kermadec arc magmas" prepared for publication in Communications Earth & Environment. File 1: Composition of the Kermadec volcanic glasses; File 2: Composition of MORB glasses; File 3: Data on reference materials. 
The Kermadec and MORB datasets comprise data on the content of 10 major and minor elements, Cl and S obtained by EPMA and 51 trace and ultra-trace (&lt;10 ppb) elements, including Se, Ag, Re, Pt, Au, obtained by LA-ICP-MS.
DOI: 10.17632/ps5j6w5hjb.1
title: Major and Trace Elements in Kermadec Arc and MORB Glasses

description: This dataset contains supplementary data to manuscript by Timm, C., Portnyagin, M., de Ronde, C.E.J., Hannington, M.D., Garbe-Schönberg, D., Hoernle, K., Brandl, P.A., Layton-Metthews, D., Leybourne, M., Sushchevskaya, N.M., Taylor, R.N., and Arculus, R.J. "Hydrous mantle melting controls gold enrichment in Kermadec arc magmas" prepared for publication in Communications Earth & Environment. File 1: Composition of the Kermadec volcanic glasses; File 2: Composition of MORB glasses; File 3: Data on reference materials. 
The Kermadec and MORB datasets comprise data on the content of 10 major and minor elements, Cl and S obtained by EPMA and 51 trace and ultra-trace (&lt;10 ppb) elements, including Se, Ag, Re, Pt, Au, obtained by LA-ICP-MS.
DOI: 10.17632/pr9gj9tkcd
title: Ischemia-induced LRRK2 impairs endothelial and neuronal BDNF signalling and is reversed by salidroside

description: Overactive mutations of leucine-rich repeat kinase 2 (LRRK2) are neurotoxic, cause Parkinson’s disease, associate with increased risk of ischemic stroke, and their pathological effects can be modified by BDNF mutations. Salidroside is a bioactive compound derived from Rhodiola species, which are traditionally used for stroke treatment. Here we investigated whether LRRK2 modulates BDNF signalling and whether this might explain how salidroside salvages ischemic damage.
DOI: 10.17632/pr9gj9tkcd.1
title: Ischemia-induced LRRK2 impairs endothelial and neuronal BDNF signalling and is reversed by salidroside

description: Overactive mutations of leucine-rich repeat kinase 2 (LRRK2) are neurotoxic, cause Parkinson’s disease, associate with increased risk of ischemic stroke, and their pathological effects can be modified by BDNF mutations. Salidroside is a bioactive compound derived from Rhodiola species, which are traditionally used for stroke treatment. Here we investigated whether LRRK2 modulates BDNF signalling and whether this might explain how salidroside salvages ischemic damage.
DOI: 10.17632/rff3zpbcbx.2
title: The Role of Social Norms in Zero Price effects

description: The Role of Social Norms in Zero Price effects
DOI: 10.17632/tp9g8gpmd7
title: Effect of Social Media and Smoking Addiction on Anxiety Levels in Individuals Emerging Adulthood

description: Effect of Social Media and Smoking Addiction on Anxiety Levels in Individuals Emerging Adulthood
Background: It was designed to examine the effects of social media use and cigarette addiction on anxiety levels in individuals emerging into adulthood. 
Methods: The Young Internet Addiction Test-Short Form (YIAT-SF) was used to assess individuals' levels of addiction to social media. The Smoking Psychological Dependence Assessment Scale (SPDAS) was used to assess levels of psychological dependence on cigarettes. The Beck Anxiety Inventory (BDI) was used to assess anxiety levels.
Results: A total of 191 participants were included, with mean scores of YIAT-Sf = 28.53 ± 8.33, SPDAS = 13.82 ± 9.42, and BDI = 31.31 ± 12.00. There was a moderately positive correlation between BDI and YIAT-Sf (r = 0.352, p &lt; .001) and a weakly positive correlation between SPDAS and BDI (r = 0.266, p &lt; .001) . There was a weak but statistically significant positive correlation between YIAT-Sf and SPDAS (r = 0.194, p = 0.007). Simple linear regression analysis showed a significant relationship between BDI and YIAT-Sf in Model 1 (F =26.928, p &lt; .001) and between BDI and SPDAS in Model 2 (F =14.513, p &lt; .001). Model 4's multiple regression analysis revealed a significant relationship among BDI, YIAT-Sf, and SPDAS (F = 18.658, p &lt; .001).
Conclusion: A moderate positive correlation was found between social media addiction and anxiety levels, and a weak positive correlation was found between smoking addiction levels and anxiety levels. It was found that social media addiction and smoking addiction are associated with anxiety levels in individuals Emerging Adulthood
DOI: 10.17632/tp9g8gpmd7.1
title: Effect of Social Media and Smoking Addiction on Anxiety Levels in Individuals Emerging Adulthood

description: Effect of Social Media and Smoking Addiction on Anxiety Levels in Individuals Emerging Adulthood
Background: It was designed to examine the effects of social media use and cigarette addiction on anxiety levels in individuals emerging into adulthood. 
Methods: The Young Internet Addiction Test-Short Form (YIAT-SF) was used to assess individuals' levels of addiction to social media. The Smoking Psychological Dependence Assessment Scale (SPDAS) was used to assess levels of psychological dependence on cigarettes. The Beck Anxiety Inventory (BDI) was used to assess anxiety levels.
Results: A total of 191 participants were included, with mean scores of YIAT-Sf = 28.53 ± 8.33, SPDAS = 13.82 ± 9.42, and BDI = 31.31 ± 12.00. There was a moderately positive correlation between BDI and YIAT-Sf (r = 0.352, p &lt; .001) and a weakly positive correlation between SPDAS and BDI (r = 0.266, p &lt; .001) . There was a weak but statistically significant positive correlation between YIAT-Sf and SPDAS (r = 0.194, p = 0.007). Simple linear regression analysis showed a significant relationship between BDI and YIAT-Sf in Model 1 (F =26.928, p &lt; .001) and between BDI and SPDAS in Model 2 (F =14.513, p &lt; .001). Model 4's multiple regression analysis revealed a significant relationship among BDI, YIAT-Sf, and SPDAS (F = 18.658, p &lt; .001).
Conclusion: A moderate positive correlation was found between social media addiction and anxiety levels, and a weak positive correlation was found between smoking addiction levels and anxiety levels. It was found that social media addiction and smoking addiction are associated with anxiety levels in individuals Emerging Adulthood
DOI: 10.17632/6vhwdwfkv4
title: Gig Worker poor psychological health Thematic Analyses Coding File

description: This file contains the coding generated by the thematic analyses performed on 36 papers identified through a systematic literature review. The coding is performed to identify the various themes of gig worker that cause poor psychological health.
DOI: 10.5281/zenodo.18487861
title: Digital transformation of public finance and its impact on spending efficiency to achieve the Sustainable Development Goals
DOI: 10.17632/6vhwdwfkv4.3
title: Gig Worker poor psychological health Thematic Analyses Coding File

description: This file contains the coding generated by the thematic analyses performed on 36 papers identified through a systematic literature review. The coding is performed to identify the various themes of gig worker that cause poor psychological health.
DOI: 10.5281/zenodo.18487860
title: Digital transformation of public finance and its impact on spending efficiency to achieve the Sustainable Development Goals
DOI: 10.5281/zenodo.18434367
title: Modified elliptical thorax phantom (ECT/LUNGSPINE/1) acquired on the Siemens Biograph Vision600, raw data

description: A commercially available elliptical thorax phantom (ECT/LUNGSPINE/I) was modified to include low density, irregular-shaped, non-uniform, lung inserts. The permeable walls, range of material densities, structures, and packing fractions of the inserts result in regions of varying density, activity concentrations, and structures. The inserts are designed to approximate diffuse lung disease.
DOI: 10.5281/zenodo.18434368
title: Modified elliptical thorax phantom (ECT/LUNGSPINE/1) acquired on the Siemens Biograph Vision600, raw data

description: A commercially available elliptical thorax phantom (ECT/LUNGSPINE/I) was modified to include low density, irregular-shaped, non-uniform, lung inserts. The permeable walls, range of material densities, structures, and packing fractions of the inserts result in regions of varying density, activity concentrations, and structures. The inserts are designed to approximate diffuse lung disease.
DOI: 10.17632/mn4drs4d58
title: transaction data from DFETC

description: All historical buyer purchase information is completely stored in the database at the DFETC. We extract the transaction data for June–October 2019 from the database for model training and evaluation.
DOI: 10.17632/mn4drs4d58.1
title: transaction data from DFETC

description: All historical buyer purchase information is completely stored in the database at the DFETC. We extract the transaction data for June–October 2019 from the database for model training and evaluation.
DOI: 10.17632/dvvyz6xv8d
title: Heterogeneous Returns to Credit and Technology in Asian Agriculture: Threshold Effects from a Regional Panel Analysis

description: Variables Measurements Source
avg Agricultural value added current USD World Bank
gfc Current USD World Bank
credit Agricultural credit (USD current) FAO
land Arable land 1000ha FAO
pesticide Agricultural use Tons Total FAO
labor* Agricultural employment World Bank
fertilizer Kilograms per hectare of arable land World Bank
DOI: 10.17632/dvvyz6xv8d.1
title: Heterogeneous Returns to Credit and Technology in Asian Agriculture: Threshold Effects from a Regional Panel Analysis

description: Variables Measurements Source
avg Agricultural value added current USD World Bank
gfc Current USD World Bank
credit Agricultural credit (USD current) FAO
land Arable land 1000ha FAO
pesticide Agricultural use Tons Total FAO
labor* Agricultural employment World Bank
fertilizer Kilograms per hectare of arable land World Bank
DOI: 10.17632/g5nt9sxk5r.1
title: ISVOLC GIA model data

description: Output of ISVOLC best-fit GIA model for stress within the crust, and displacements at the surface
DOI: 10.17632/gmr7n4d43s
title: Single-sequence based gFET-aptasensors for the discrimination of apo- and holo-RBP4 in human serum

description: Retinol-binding protein 4 (RBP4) is a key transporter of all-trans-retinol (vitamin A), circulating in blood as either holo-RBP4 (retinol-bound) or apo-RBP4 (retinol-free). Dysregulated RBP4 levels, particularly an imbalance between apo- and holo-RBP4, have been implicated in a range of metabolic and cardiovascular diseases. Current detection methods such as ELISA and Western blot lack the specificity to distinguish these two forms. Here, we present a novel aptamer-based biosensing strategy that overcomes this limitation, enabling the precise and selective quantification of apo- and holo-RBP4 using graphene field-effect transistor (gFET) sensors. Using FluMag-SELEX, we previously generated polyclonal aptamer libraries specific to each RBP4 conformer. Next-generation sequencing and bioinformatic enrichment analyses identified two highly specific and high-affinity aptamers, which were further characterized via computational modelling, including molecular docking and molecular dynamics simulations. This structural approach elucidated the conformer-specific binding mechanisms, demonstrating aptamers' capacity to differentiate subtle protein conformational changes. The selected aptamers were immobilized on gFET devices, enabling label-free, real-time detection with picomolar sensitivity – a 100-fold improvement over the original libraries. Increased aptamer density on the sensor surface further enhanced signal sensitivity by an order of magnitude. These findings validate the use of aptamers as high-performance biorecognition elements in biosensors, offering a path toward precise RBP4 isoform monitoring.
DOI: 10.17632/gmr7n4d43s.1
title: Single-sequence based gFET-aptasensors for the discrimination of apo- and holo-RBP4 in human serum

description: Retinol-binding protein 4 (RBP4) is a key transporter of all-trans-retinol (vitamin A), circulating in blood as either holo-RBP4 (retinol-bound) or apo-RBP4 (retinol-free). Dysregulated RBP4 levels, particularly an imbalance between apo- and holo-RBP4, have been implicated in a range of metabolic and cardiovascular diseases. Current detection methods such as ELISA and Western blot lack the specificity to distinguish these two forms. Here, we present a novel aptamer-based biosensing strategy that overcomes this limitation, enabling the precise and selective quantification of apo- and holo-RBP4 using graphene field-effect transistor (gFET) sensors. Using FluMag-SELEX, we previously generated polyclonal aptamer libraries specific to each RBP4 conformer. Next-generation sequencing and bioinformatic enrichment analyses identified two highly specific and high-affinity aptamers, which were further characterized via computational modelling, including molecular docking and molecular dynamics simulations. This structural approach elucidated the conformer-specific binding mechanisms, demonstrating aptamers' capacity to differentiate subtle protein conformational changes. The selected aptamers were immobilized on gFET devices, enabling label-free, real-time detection with picomolar sensitivity – a 100-fold improvement over the original libraries. Increased aptamer density on the sensor surface further enhanced signal sensitivity by an order of magnitude. These findings validate the use of aptamers as high-performance biorecognition elements in biosensors, offering a path toward precise RBP4 isoform monitoring.
DOI: 10.17632/j45fjmcbsm
title: AI-Empowered Design Innovation

description: The thematic analysis of the article
DOI: 10.17632/j45fjmcbsm.1
title: AI-Empowered Design Innovation

description: The thematic analysis of the article