cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18650719
title: Audit-Fixed Scalar and Mirror Hardware Runs for the Geometric Inconsistency Test (GIT)

description: Preprint: This work is a preprint, has not undergone peer review, and is made publicly available to establish a public scientific record.

Audit-Fixed Scalar and Mirror Hardware Runs for the Geometric Inconsistency Test (GIT) - 36k shots, raw counts

This dataset contains audit-fixed hardware realizations of scalar and mirror protocol variants used in the Geometric Inconsistency Test (GIT).

The archive includes raw count data, fixed reference packs, run metadata, IBM Runtime job dumps, and evaluation scripts. All evaluations are based strictly on raw counts without mitigation, post-selection, or adaptive tuning.

The dataset is structured to enable third-party reproducibility and independent verification of the reported twin-sign and mirror consistency analyses.

This upload complements the following related works:

Foundations of Intervention Consistencyhttps://doi.org/10.5281/zenodo.18495497

Definition of Intervention and Audit-Fixed Consistencyhttps://doi.org/10.5281/zenodo.18499822

DIG in GIT https://doi.org/10.5281/zenodo.18632874

Dynamical Information Geometry – Part Ihttps://doi.org/10.5281/zenodo.17983399

No theoretical claims are introduced in this dataset. It serves exclusively as a reproducible hardware record.

Correspondence: kaya@cab-film.com
DOI: 10.5281/zenodo.18650718
title: Audit-Fixed Scalar and Mirror Hardware Runs for the Geometric Inconsistency Test (GIT)

description: Preprint: This work is a preprint, has not undergone peer review, and is made publicly available to establish a public scientific record.

Audit-Fixed Scalar and Mirror Hardware Runs for the Geometric Inconsistency Test (GIT) - 36k shots, raw counts

This dataset contains audit-fixed hardware realizations of scalar and mirror protocol variants used in the Geometric Inconsistency Test (GIT).

The archive includes raw count data, fixed reference packs, run metadata, IBM Runtime job dumps, and evaluation scripts. All evaluations are based strictly on raw counts without mitigation, post-selection, or adaptive tuning.

The dataset is structured to enable third-party reproducibility and independent verification of the reported twin-sign and mirror consistency analyses.

This upload complements the following related works:

Foundations of Intervention Consistencyhttps://doi.org/10.5281/zenodo.18495497

Definition of Intervention and Audit-Fixed Consistencyhttps://doi.org/10.5281/zenodo.18499822

DIG in GIT https://doi.org/10.5281/zenodo.18632874

Dynamical Information Geometry – Part Ihttps://doi.org/10.5281/zenodo.17983399

No theoretical claims are introduced in this dataset. It serves exclusively as a reproducible hardware record.

Correspondence: kaya@cab-film.com
DOI: 10.17632/xzswyhtjhd
title: Adsorption_Researchdata

description: Data for publication in Data in Brief
DOI: 10.17632/xzswyhtjhd.1
title: Adsorption_Researchdata

description: Data for publication in Data in Brief
DOI: 10.5281/zenodo.18650806
title: WAYS TO IMPROVE THE MANAGEMENT OF DIGITAL TECHNOLOGIES IN JOINT-STOCK COMPANIES

description: This article examines ways to improve the management of digital technologies in joint-stock companies. The current state of digital management systems is analyzed, and the importance of factors such as information systems integration, automation of management processes, data-based decision-making, and digital competencies of human capital is studied. The results of the study showed the need to improve the mechanisms for managing digital technologies in joint-stock companies. The article develops conceptual approaches and practical recommendations aimed at increasing the effectiveness of digital management.
DOI: 10.5281/zenodo.18650805
title: WAYS TO IMPROVE THE MANAGEMENT OF DIGITAL TECHNOLOGIES IN JOINT-STOCK COMPANIES

description: This article examines ways to improve the management of digital technologies in joint-stock companies. The current state of digital management systems is analyzed, and the importance of factors such as information systems integration, automation of management processes, data-based decision-making, and digital competencies of human capital is studied. The results of the study showed the need to improve the mechanisms for managing digital technologies in joint-stock companies. The article develops conceptual approaches and practical recommendations aimed at increasing the effectiveness of digital management.
DOI: 10.17632/ngccdnm79k
title: Coordinated cadmium immobilization and translocation inhibition in the soil-tomato (Solanum lycopersicum L.) system via a Biochar-PGPR Consortium-AMF tripartite strategy

description: Original Data for the Paper
DOI: 10.17632/ngccdnm79k.5
title: Coordinated cadmium immobilization and translocation inhibition in the soil-tomato (Solanum lycopersicum L.) system via a Biochar-PGPR Consortium-AMF tripartite strategy

description: Original Data for the Paper
DOI: 10.17632/k2xtjc28m6
title: Allergens in Contemporary Nail Cosmetics: A Comprehensive Nail Product Ingredient Review

description: This supplementary table lists all ingredients with sensitizing/allergenic potential identified via composition analysis of 399 commercially available nail cosmetic products, ordered from most to least common.
DOI: 10.17632/k2xtjc28m6.1
title: Allergens in Contemporary Nail Cosmetics: A Comprehensive Nail Product Ingredient Review

description: This supplementary table lists all ingredients with sensitizing/allergenic potential identified via composition analysis of 399 commercially available nail cosmetic products, ordered from most to least common.
DOI: 10.15468/dl.zetvu7
title: Occurrence Download

description: A dataset containing 491 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ronnbergia veitchii",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 491 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020755-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/mmgrwcgxvw
title: Bibliographic Data for Blockchain-Based Smart Contracts in Agricultural Supply Chain

description: The data offers a collection of article datasets exploring the use of blockchain technology and smart contracts in enhancing agricultural logistics. It includes research on automation, traceability, fraud reduction, and operational efficiency within supply chains, focusing on the integration of blockchain with IoT for real-time monitoring.
DOI: 10.17632/mmgrwcgxvw.2
title: Bibliographic Data for Blockchain-Based Smart Contracts in Agricultural Supply Chain

description: The data offers a collection of article datasets exploring the use of blockchain technology and smart contracts in enhancing agricultural logistics. It includes research on automation, traceability, fraud reduction, and operational efficiency within supply chains, focusing on the integration of blockchain with IoT for real-time monitoring.
DOI: 10.17632/w9yks3shbh
title: Consumer Behavior Dataset - Theory of Consumption Value (TCV) in Indian Staple Food Delivery (Linear and Non-Linear Analysis)

description: This dataset contains 761 valid survey responses from Indian Gen-Z consumers (aged 18-28) regarding their consumption behaviour of staple foods via Food Delivery Apps (FDAs) like Zomato and Swiggy. The data was collected between July and September 2025 using a judgemental sampling method.

The research framework is grounded in the Theory of Consumption Value (TCV), measuring five key dimensions: functional, emotional, social, conditional, and epistemic values. The dataset includes Likert-scale responses for these values, as well as measures for consumer attitude, behavioural intention, and actual buying behaviour. Demographic variables such as sex, education level, family size, work setting, and ordering frequency are also included. This data was utilised to perform a dual-stage analysis: Structural Equation Modelling (SEM) for linear relationships and Multivariate Adaptive Regression Splines (MARS) for non-linear threshold effects.
DOI: 10.17632/w9yks3shbh.1
title: Consumer Behavior Dataset - Theory of Consumption Value (TCV) in Indian Staple Food Delivery (Linear and Non-Linear Analysis)

description: This dataset contains 761 valid survey responses from Indian Gen-Z consumers (aged 18-28) regarding their consumption behaviour of staple foods via Food Delivery Apps (FDAs) like Zomato and Swiggy. The data was collected between July and September 2025 using a judgemental sampling method.

The research framework is grounded in the Theory of Consumption Value (TCV), measuring five key dimensions: functional, emotional, social, conditional, and epistemic values. The dataset includes Likert-scale responses for these values, as well as measures for consumer attitude, behavioural intention, and actual buying behaviour. Demographic variables such as sex, education level, family size, work setting, and ordering frequency are also included. This data was utilised to perform a dual-stage analysis: Structural Equation Modelling (SEM) for linear relationships and Multivariate Adaptive Regression Splines (MARS) for non-linear threshold effects.
DOI: 10.17632/xtnm57syhh
title: Heat stress and the incidence of chronic kidney disease: an ecological study using the universal thermal climate index

description: Long-term, repeated exposure to heat stress may contribute to chronic kidney disease (CKD), yet global evidence remains limited. In this ecological study, we aimed to examine the association of different categories of heat stress, as well as the overall heat stress score, with the incidence of CKD at the country/region level. Data from 174 countries/regions were analyzed. Annual numbers of days with moderate, strong, very strong, and extreme heat stress in each country/region between 1990 and 2021 were assessed using the Universal Thermal Climate Index. A weighted heat stress score was generated from these counts. Linear mixed-effects models were used to evaluate the association between heat stress score and CKD incidence. The results showed that all heat stress categories were positively associated with CKD incidence. In models using the weighted heat stress score, each standard deviation increase in the score was associated with an estimated 0.890 (95% CI: 0.717–1.063) additional incident cases per 100,000 population. In this ecological study, we observed country/region-level associations between heat stress and CKD incidence; nevertheless, further validation is warranted.
DOI: 10.17632/xtnm57syhh.1
title: Heat stress and the incidence of chronic kidney disease: an ecological study using the universal thermal climate index

description: Long-term, repeated exposure to heat stress may contribute to chronic kidney disease (CKD), yet global evidence remains limited. In this ecological study, we aimed to examine the association of different categories of heat stress, as well as the overall heat stress score, with the incidence of CKD at the country/region level. Data from 174 countries/regions were analyzed. Annual numbers of days with moderate, strong, very strong, and extreme heat stress in each country/region between 1990 and 2021 were assessed using the Universal Thermal Climate Index. A weighted heat stress score was generated from these counts. Linear mixed-effects models were used to evaluate the association between heat stress score and CKD incidence. The results showed that all heat stress categories were positively associated with CKD incidence. In models using the weighted heat stress score, each standard deviation increase in the score was associated with an estimated 0.890 (95% CI: 0.717–1.063) additional incident cases per 100,000 population. In this ecological study, we observed country/region-level associations between heat stress and CKD incidence; nevertheless, further validation is warranted.
DOI: 10.17632/62wh3dv4pw
title: RFID self checkout in the FMCG industry: an experimental approach

description: This study experimentally evaluates the effectiveness of RFID technology for self-checkout applications in the Fast-Moving Consumer Goods (FMCG) sector, aiming to identify the key factors affecting reading accuracy. An experimental campaign was conducted using a fractional Design of Experiments (DoE) approach, considering shopping cart material, product quantity, presence of liquid products, presence of metal-containing products, and use of shielding bags as independent variables. Reading accuracy was analyzed through ANOVA to quantify the influence of physical and operational factors.
The results show that reading accuracy ranges from 73% to 100%. The presence of liquid products emerges as the most significant factor, causing the largest performance degradation. The impact of metal-containing products, although difficult to isolate due to the pervasive presence of metal in carts and shielding bags, is statistically significant and mainly results in an increased performance variability. Product quantity exhibits a negligible effect. The highest accuracy is achieved under favorable configurations, particularly in the absence of liquids. Significant interaction effects are also observed, especially between cart material and the presence of metals.
The study provides a quantitative assessment of RFID self-checkout performance in realistic FMCG environments, highlighting its current technical limitations, and offering practical insights for technology developers and retailers.
DOI: 10.17632/62wh3dv4pw.1
title: RFID self checkout in the FMCG industry: an experimental approach

description: This study experimentally evaluates the effectiveness of RFID technology for self-checkout applications in the Fast-Moving Consumer Goods (FMCG) sector, aiming to identify the key factors affecting reading accuracy. An experimental campaign was conducted using a fractional Design of Experiments (DoE) approach, considering shopping cart material, product quantity, presence of liquid products, presence of metal-containing products, and use of shielding bags as independent variables. Reading accuracy was analyzed through ANOVA to quantify the influence of physical and operational factors.
The results show that reading accuracy ranges from 73% to 100%. The presence of liquid products emerges as the most significant factor, causing the largest performance degradation. The impact of metal-containing products, although difficult to isolate due to the pervasive presence of metal in carts and shielding bags, is statistically significant and mainly results in an increased performance variability. Product quantity exhibits a negligible effect. The highest accuracy is achieved under favorable configurations, particularly in the absence of liquids. Significant interaction effects are also observed, especially between cart material and the presence of metals.
The study provides a quantitative assessment of RFID self-checkout performance in realistic FMCG environments, highlighting its current technical limitations, and offering practical insights for technology developers and retailers.
DOI: 10.17632/v6t3vwxrp9
title: Multi-Paradigm Simulation Approach for Building Permit Process Optimisation

description: All model files (baseline and optimized), together with the corresponding Genetic Algorithm scripts and their associated input and output datasets, are provided to ensure transparency and reproducibility of the reported results.
DOI: 10.17632/v6t3vwxrp9.1
title: Multi-Paradigm Simulation Approach for Building Permit Process Optimisation

description: All model files (baseline and optimized), together with the corresponding Genetic Algorithm scripts and their associated input and output datasets, are provided to ensure transparency and reproducibility of the reported results.
DOI: 10.17632/kb8k437hpr
title: Integrating InSAR-derived deformation into coupled RUSLE-TLSD modelling reshapes erosion-deposition and sediment export patterns in dryland watersheds

description: This dataset provides model outputs, summary tables, and reproducible scripts supporting an evaluation of baseline RUSLE (LS) versus deformation-aware LS′ derived from PSInSAR, and the downstream implications for routed sediment redistribution using TLSD in two dryland watersheds (Yarkon-Ayalon and HaBsor). Outputs are provided for (i) gross detachment estimates from RUSLE and (ii) routed net erosion/deposition and sediment export derived from TLSD, enabling scenario comparison between DEM-based LS and PSInSAR-conditioned LS′.
Included materials comprise (1) geospatial rasters (GeoTIFF) at the analysis resolution used in the study (e.g., LS and LS′ surfaces, gross erosion rate, TLSD deposition and net balance, sediment export, and SDR outputs), (2) PSInSAR spatial-support masks and associated summaries used to document where LS′ reverts to LS outside PS-supported areas, (3) block-aggregated land-use statistics based on non-overlapping 10×10 pixel blocks (modal land-use class; ≥70% valid coverage) and non-parametric comparisons (Kruskal-Wallis with ε²; Mann-Whitney with Holm correction; Cliff’s δ), and (4) Python scripts (rasterio + matplotlib) used to generate the main-paper and supplementary figures and tables.
All p-values are reported descriptively given spatial dependence; effect sizes are provided to support interpretation. PSInSAR deformation is used to condition LS′ and does not directly measure erosion. Where third-party input datasets cannot be redistributed, the repository includes derived products and scripts/instructions to reproduce results from the original sources.
DOI: 10.17632/kb8k437hpr.1
title: Integrating InSAR-derived deformation into coupled RUSLE-TLSD modelling reshapes erosion-deposition and sediment export patterns in dryland watersheds

description: This dataset provides model outputs, summary tables, and reproducible scripts supporting an evaluation of baseline RUSLE (LS) versus deformation-aware LS′ derived from PSInSAR, and the downstream implications for routed sediment redistribution using TLSD in two dryland watersheds (Yarkon-Ayalon and HaBsor). Outputs are provided for (i) gross detachment estimates from RUSLE and (ii) routed net erosion/deposition and sediment export derived from TLSD, enabling scenario comparison between DEM-based LS and PSInSAR-conditioned LS′.
Included materials comprise (1) geospatial rasters (GeoTIFF) at the analysis resolution used in the study (e.g., LS and LS′ surfaces, gross erosion rate, TLSD deposition and net balance, sediment export, and SDR outputs), (2) PSInSAR spatial-support masks and associated summaries used to document where LS′ reverts to LS outside PS-supported areas, (3) block-aggregated land-use statistics based on non-overlapping 10×10 pixel blocks (modal land-use class; ≥70% valid coverage) and non-parametric comparisons (Kruskal-Wallis with ε²; Mann-Whitney with Holm correction; Cliff’s δ), and (4) Python scripts (rasterio + matplotlib) used to generate the main-paper and supplementary figures and tables.
All p-values are reported descriptively given spatial dependence; effect sizes are provided to support interpretation. PSInSAR deformation is used to condition LS′ and does not directly measure erosion. Where third-party input datasets cannot be redistributed, the repository includes derived products and scripts/instructions to reproduce results from the original sources.
DOI: 10.20383/103.01415
title: Project_02 Q47 StudyTitle Probing the neurochemistry of sensitization and compulsive checking: dopamine and serotonin systems

description: This study (Q47) is one of a series of studies performed in the Szechtman lab at McMaster University and deposited in the FRDR public repository as a collection under the name "A Digital Library of Behavioural Performance in Standardized Conditions - Szechtman Lab Collection". This collection as a whole constitutes a big dataset containing raw data objects of video, track, and path plot records of rats exploring for 55 minutes a large testing environment in a standardized paradigm during chronic treatment with psychostimulant drugs; for details of this big dataset see, https://www.frdr-dfdr.ca/repo/collection/szechtmanlab. The historical context for study Q47 was Project_02 entitled: "Probing the neurochemistry of sensitization and compulsive checking". Title of experiment in Q47 was "Effect of 8OHDPAT dose (0 0.03125 0.0625 0.125 mg/kg) co-injected with a low dose of QNP (0.125 mg/kg) on the development of sensitization and compulsive checking (batch 2). Q47 was a repeat of Study Q46 (hence "batch 2" in title of experiment for Q47). For Q47, like for Q46 (dataset doi: 10.20383/102.0419), each rat received 13 trials in the open field. However, in IDStudy Q47, rats received a 14th trial in the open field, but for this test the open field was emptied of the 4 objects normally in it. This particular trial is grouped under Project_09 ("Probing the environmental modulation of sensitization and compulsive checking"), giving IDStudy Q47 a second title, "Probing the environmental modulation of sensitization and compulsive checking: influence of no objects in the open field on expression". The historical context for IDStudy Q47 includes the introduction of "enriched" housing, that is, a piece of black plastic tube was placed in the rat's home cage (prior to this study, there were no objects in the home cage). A comparison of study Q47 with Q46 showed that "enriched" housing did not influence the development of sensitization or compulsive checking
DOI: 10.5281/zenodo.18649297
title: Architectural Variants of Controllers for Reactions to Cyber Attacks in Energy Systems

description: This dataset contains exchanged messages of an agent-based control use case in cyber-physical energy systems. The agents perform unit control, given a target schedule from an operator.

Two versions of a cyber attack are considered, in which a system shutdown occurs. Over time, more and more units are shut down, from 0% up to 50%. The data without any attack and the effects of the attacks are published here: https://zenodo.org/records/18623941

Overall, three types of agent sizes are given: 50 agents, 100 agents, and 150 agents. For each of the network sizes, normal data and data for both attack variants are provided.

This dataset considers three different kinds of control to react to the cyber attacks: a centralized controller, considering control actions affecting the entire system, a decentralized controller, only focusing on one agent, and a  multi-level setting, in which a centralized and decentralized controller are combined.

Different kinds of control actions are considered: forming a new communication topology, building a new topology, and reassigning the task(s) of the affected agent(s). The new communication topology excludes the affected agent(s).