cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/dy66vm8t95
title: Estimation of the rivet-squeezing force based on dynamic response - larger dataset

description: The dataset contains dynamic response measurements (i.e. frequency response functions; FRFs), of multiple structures:
- of the metal sheet plates A and B (Structure_images.jpg);
- of the dynamic responses of the assembled systems, , joined together over the riveted joint. 

Plates A and B were joined together in two configurations of the assembled system - ARB, and A'RB' (Structure_images.jpg). Each of the assemblies has been joined multiple times, each time with a different rivet-squeezing force in the interval between 4.94 and 8.62 kN. 120 samples were collected for assembly ARB, and 23 for assembly A'RB'.

These data can be used to isolate the dynamic models of the riveted joints, using the dynamic substructuring principles. This allows us to observe how the riveting squeeze force affects the dynamic response of the joint for different assemblies.

The data, containing information about the dynamic responses of structures/assemblies, as well as the locations and directions of the observed/controlled response/excitation degrees of freedom (DoFs), is stored in data.h5 file, which is organized as follows:

- The main group is named 'data'.
 + 'data' group contains 7 subgroups:
 * Group 'frequency_Hz' containing a list of discrete frequency points in Hz;
 * 6 groups; one for each type of dynamic model (A, A_alt, B, B_alt, ARB, ARB_alt).

There are two models for A (A, A_alt) and B (B, B_alt) because different sets of DoFs were measured for assembly ARB (group ARB) and A'RB' (group ARB_alt) to provide a collocated set of DoFs, required for dynamic decoupling. 

The 4 groups related to structures A and B are organized as follows:
- Groups contains 3 subgroups: excitation_dofs, response_dofs, and FRFs. To reduce amount of data, problem was handled as planar. Therefore, excitation_dofs and response dofs are described with: (x-coordinate, y-coordinate, orientation). Dimensions are in meters. Orientation is described with the angle from the x-axis of the global coordinate system (Structure_images.jpg). The origin of the coordinate system is located at the location where the structure is to be linked to the adjacent component (middle of red/blue circle in Structure_images.jpg). Direction 1 denotes the x-axis (1 for positive x, -1 for negative), direction 2 denotes the y-axis, and direction 3 denotes the z-axis (Structure_images.jpg). The FRFs group contains a subgroup for each FRF, described as {excitation_dof}_{response_dof}. Subgroups contains separate lists of real and imaginary parts of the FRF (named 'real' and 'imag', respectively).

The remaining two groups (i.e. ARB and A'RB' ; named ARB and ARB_alt, respectively) contain a subgroup for each sample, and a subgroups for excitation and response DoF information. Each sample group contains FRFs subgroup (organized in the same manner as for the components A and B), and a 'F_riveting_N' attribute that contains information about the riveting force corresponding the sample.
DOI: 10.17632/dy66vm8t95.1
title: Estimation of the rivet-squeezing force based on dynamic response - larger dataset

description: The dataset contains dynamic response measurements (i.e. frequency response functions; FRFs), of multiple structures:
- of the metal sheet plates A and B (Structure_images.jpg);
- of the dynamic responses of the assembled systems, , joined together over the riveted joint. 

Plates A and B were joined together in two configurations of the assembled system - ARB, and A'RB' (Structure_images.jpg). Each of the assemblies has been joined multiple times, each time with a different rivet-squeezing force in the interval between 4.94 and 8.62 kN. 120 samples were collected for assembly ARB, and 23 for assembly A'RB'.

These data can be used to isolate the dynamic models of the riveted joints, using the dynamic substructuring principles. This allows us to observe how the riveting squeeze force affects the dynamic response of the joint for different assemblies.

The data, containing information about the dynamic responses of structures/assemblies, as well as the locations and directions of the observed/controlled response/excitation degrees of freedom (DoFs), is stored in data.h5 file, which is organized as follows:

- The main group is named 'data'.
 + 'data' group contains 7 subgroups:
 * Group 'frequency_Hz' containing a list of discrete frequency points in Hz;
 * 6 groups; one for each type of dynamic model (A, A_alt, B, B_alt, ARB, ARB_alt).

There are two models for A (A, A_alt) and B (B, B_alt) because different sets of DoFs were measured for assembly ARB (group ARB) and A'RB' (group ARB_alt) to provide a collocated set of DoFs, required for dynamic decoupling. 

The 4 groups related to structures A and B are organized as follows:
- Groups contains 3 subgroups: excitation_dofs, response_dofs, and FRFs. To reduce amount of data, problem was handled as planar. Therefore, excitation_dofs and response dofs are described with: (x-coordinate, y-coordinate, orientation). Dimensions are in meters. Orientation is described with the angle from the x-axis of the global coordinate system (Structure_images.jpg). The origin of the coordinate system is located at the location where the structure is to be linked to the adjacent component (middle of red/blue circle in Structure_images.jpg). Direction 1 denotes the x-axis (1 for positive x, -1 for negative), direction 2 denotes the y-axis, and direction 3 denotes the z-axis (Structure_images.jpg). The FRFs group contains a subgroup for each FRF, described as {excitation_dof}_{response_dof}. Subgroups contains separate lists of real and imaginary parts of the FRF (named 'real' and 'imag', respectively).

The remaining two groups (i.e. ARB and A'RB' ; named ARB and ARB_alt, respectively) contain a subgroup for each sample, and a subgroups for excitation and response DoF information. Each sample group contains FRFs subgroup (organized in the same manner as for the components A and B), and a 'F_riveting_N' attribute that contains information about the riveting force corresponding the sample.
DOI: 10.17632/8vwyvwpwcm
title: Enhancing the microstructure and mechanical performance of laser weld-brazed aluminum alloy/steel joints by introducing a multi-element interlayer

description: SEM and TEM images of the joint interface and mechanical properties data.
DOI: 10.17632/8vwyvwpwcm.3
title: Enhancing the microstructure and mechanical performance of laser weld-brazed aluminum alloy/steel joints by introducing a multi-element interlayer

description: SEM and TEM images of the joint interface and mechanical properties data.
DOI: 10.17632/jj8kd42z23
title: Regional economic impact of the Next Generation European Union recovery plan

description: This paper analyzes the economic impact of the Next Generation Funds package of the European Union (NGEU), focusing on the allocation of NGEU funds across European regions and the impact on rent distribution using new datasets on direct investments and remittances. Employing the input-output framework this work assesses the effects of the pandemic and the implications of NGEU funds, considering two alternative scenarios of sectoral and regional allocation, and a second round of rent distribution. The analysis reveals that the positive effects of the NGEU are largely overshadowed by the negative impacts of pandemic in most regions. Additionally, when considering the final redistributive effect, including interregional capital and remittance flows, the spatial pattern shifts, indicating that despite overall improvements, core regions capture rents from peripheral regions, leading to anti-cohesion outcomes. These results prompt further investigation into the role of NGEU in regional recovery and cohesion, suggesting additional research into rent distribution and the long-term economic impacts.
DOI: 10.17632/jj8kd42z23.1
title: Regional economic impact of the Next Generation European Union recovery plan

description: This paper analyzes the economic impact of the Next Generation Funds package of the European Union (NGEU), focusing on the allocation of NGEU funds across European regions and the impact on rent distribution using new datasets on direct investments and remittances. Employing the input-output framework this work assesses the effects of the pandemic and the implications of NGEU funds, considering two alternative scenarios of sectoral and regional allocation, and a second round of rent distribution. The analysis reveals that the positive effects of the NGEU are largely overshadowed by the negative impacts of pandemic in most regions. Additionally, when considering the final redistributive effect, including interregional capital and remittance flows, the spatial pattern shifts, indicating that despite overall improvements, core regions capture rents from peripheral regions, leading to anti-cohesion outcomes. These results prompt further investigation into the role of NGEU in regional recovery and cohesion, suggesting additional research into rent distribution and the long-term economic impacts.
DOI: 10.17632/34p8mrfmtg
title: Screening of Indigenous rice by quantitative and molecular characterization for salinity tolerance in Cauvery delta region of Tamilnadu, India.

description: Genetic diversity using Morpho-Molecular Markers
The reserved seeds of all the twenty-eight rice landraces which were collected from the farmers of different areas, were raised in field condition. Genetic diversity among twenty-eight rice genotypes was analyzed using morphological and molecular marker analysis which revealed significant variability for yield and yield component traits. Based on D2 analysis, genotypes were grouped into six clusters, with maximum inter-cluster distance between cluster II and IV. 
Molecular study: The harvested seeds were saline-treated (4 dSm-1) and the seedling samples taken for DNA extraction and genotyping were done. The number of alleles per locus ranged from 76 in RM 10852 to 252 in the case of RM336. The primer pairs RM 10852, RM 223, RM 10793, RM 10772, RM 493, RM 336, RM 8094, RM 8046, RM 342, RM 3412, RM 1287, RM 413, RM 222, RM 8264, RM 10843 generated amplified products due to amplification of more than one locus. The total alleles identified in the twenty-eight genotypes were classified into two categories: a) shared alleles and b) Unique alleles. A total of 1959 shared bands and 19 unique allele variants were generated in the form of amplified products using 15 primers pair. The overall size of the PCR products amplified using fifteen primer pairs ranged from 70 bps to 350 bps.) 
Polymorphism Information Content (PIC) 
Fifteen SSR markers generated 1959 shared alleles and 19 unique alleles with high PIC values indicating polymorphism. The PIC values revealing allele diversity and frequency among the genotypes varied from 0.2633 in the case of RM 3412 to 0.8576 in the case of RM 8046. Considerably, greater magnitude of PIC value was obtained in the primers RM 8046, RM 493, RM 336,RM 10793 and RM 8094. 
 Clustering analysis based on Euclidian distance matrix 
 Clustering analysis based on unweighted pair group method with arithmetic mean (UPGMA) method using DARWIN was separated. Based on this, twenty-eight genotypes under study were grouped into four clusters and twelve sub clusters. The cluster composition is described here under. 
Cluster1a: Kuzhiyadichan, Anandanoorsanna, Vellaimilagusamba,Anaikomban. 
Cluster 1b: Soolaikuruvai, Thanga samba 
Cluster 1c: Kichilisamba 
Cluster 1d: Kattuyanam 
Cluster 2a: Perumkoomvazhai, Kalyan samba 
Cluster 2b: Seempalai 
Cluster 2c: Neelan samba, Cochin samba 
Cluster 3a: Mapillai samba, Sanna samba, Sivappukavuni 
Cluster 3b: Sengalpattu sirumani, Pokkali 
Cluster 3c: Vellai poovan, Milagu samba, Poovan samba, Sivappusirumani 
Cluster 4a: Picini,Seeraga samba, Kothamallisamba 
Cluster 4b: Pachai perumal, Arikavuravi, Poompalai 
The study demonstrated substantial genetic variability for grain yield per plant, identified marker-trait associations and relationships among traditional landraces of rice. The results provide insights into the diversity that can be exploited for genetic enhancement of saline tolerant rice varieties.
DOI: 10.17632/34p8mrfmtg.1
title: Screening of Indigenous rice by quantitative and molecular characterization for salinity tolerance in Cauvery delta region of Tamilnadu, India.

description: Genetic diversity using Morpho-Molecular Markers
The reserved seeds of all the twenty-eight rice landraces which were collected from the farmers of different areas, were raised in field condition. Genetic diversity among twenty-eight rice genotypes was analyzed using morphological and molecular marker analysis which revealed significant variability for yield and yield component traits. Based on D2 analysis, genotypes were grouped into six clusters, with maximum inter-cluster distance between cluster II and IV. 
Molecular study: The harvested seeds were saline-treated (4 dSm-1) and the seedling samples taken for DNA extraction and genotyping were done. The number of alleles per locus ranged from 76 in RM 10852 to 252 in the case of RM336. The primer pairs RM 10852, RM 223, RM 10793, RM 10772, RM 493, RM 336, RM 8094, RM 8046, RM 342, RM 3412, RM 1287, RM 413, RM 222, RM 8264, RM 10843 generated amplified products due to amplification of more than one locus. The total alleles identified in the twenty-eight genotypes were classified into two categories: a) shared alleles and b) Unique alleles. A total of 1959 shared bands and 19 unique allele variants were generated in the form of amplified products using 15 primers pair. The overall size of the PCR products amplified using fifteen primer pairs ranged from 70 bps to 350 bps.) 
Polymorphism Information Content (PIC) 
Fifteen SSR markers generated 1959 shared alleles and 19 unique alleles with high PIC values indicating polymorphism. The PIC values revealing allele diversity and frequency among the genotypes varied from 0.2633 in the case of RM 3412 to 0.8576 in the case of RM 8046. Considerably, greater magnitude of PIC value was obtained in the primers RM 8046, RM 493, RM 336,RM 10793 and RM 8094. 
 Clustering analysis based on Euclidian distance matrix 
 Clustering analysis based on unweighted pair group method with arithmetic mean (UPGMA) method using DARWIN was separated. Based on this, twenty-eight genotypes under study were grouped into four clusters and twelve sub clusters. The cluster composition is described here under. 
Cluster1a: Kuzhiyadichan, Anandanoorsanna, Vellaimilagusamba,Anaikomban. 
Cluster 1b: Soolaikuruvai, Thanga samba 
Cluster 1c: Kichilisamba 
Cluster 1d: Kattuyanam 
Cluster 2a: Perumkoomvazhai, Kalyan samba 
Cluster 2b: Seempalai 
Cluster 2c: Neelan samba, Cochin samba 
Cluster 3a: Mapillai samba, Sanna samba, Sivappukavuni 
Cluster 3b: Sengalpattu sirumani, Pokkali 
Cluster 3c: Vellai poovan, Milagu samba, Poovan samba, Sivappusirumani 
Cluster 4a: Picini,Seeraga samba, Kothamallisamba 
Cluster 4b: Pachai perumal, Arikavuravi, Poompalai 
The study demonstrated substantial genetic variability for grain yield per plant, identified marker-trait associations and relationships among traditional landraces of rice. The results provide insights into the diversity that can be exploited for genetic enhancement of saline tolerant rice varieties.
DOI: 10.17632/3kwmtyw2dx
title: Human and AI Judgments on Arabic–English Code-Switching

description: This dataset contains experimental materials and anonymized response data from a two-alternative forced-choice (2AFC) study investigating determiner–noun switching in Arabic–English code-switching. The study tested predictions from the Matrix Language Frame (MLF) model using 48 test items and 36 fillers, presented under English and Arabic matrix language (ML) conditions. Data include human judgments from 51 Emirati Arabic–English bilinguals (Ex 1) and AI-generated judgments from ChatGPT-4 (Ex 2), along with corresponding stimuli, condition labels, and summary statistics. All participant data are fully anonymized and reported in aggregate.
DOI: 10.17632/3kwmtyw2dx.1
title: Human and AI Judgments on Arabic–English Code-Switching

description: This dataset contains experimental materials and anonymized response data from a two-alternative forced-choice (2AFC) study investigating determiner–noun switching in Arabic–English code-switching. The study tested predictions from the Matrix Language Frame (MLF) model using 48 test items and 36 fillers, presented under English and Arabic matrix language (ML) conditions. Data include human judgments from 51 Emirati Arabic–English bilinguals (Ex 1) and AI-generated judgments from ChatGPT-4 (Ex 2), along with corresponding stimuli, condition labels, and summary statistics. All participant data are fully anonymized and reported in aggregate.
DOI: 10.17632/fns3x4bg6s.2
title: Handwritten Marathi Character Dataset in Devanagari Script

description: This dataset consists of handwritten Marathi characters written in the Devanagari script. All samples were collected manually and scanned at 300 DPI resolution. Each image is preprocessed and converted into a 28×28 grayscale format for consistency and compatibility with deep learning models.
The dataset is designed to support research in Optical Character Recognition (OCR), character recognition, and pattern classification tasks. It provides a valuable resource for training and evaluating models such as Convolutional Neural Networks (CNNs) and Quantum Neural Networks (QNNs).
This dataset aims to contribute to the development of efficient recognition systems for the Marathi language and promote research in regional language processing using the Devanagari script.
DOI: 10.17632/g4g2kjywjn
title: Effects of Clonazepam on developmental stages, larval weight, and length measurements of Calliphora vicina

description: Benzodiazepines such as clonazepam can cause overdose-related deaths when used either therapeutically or illicitly. In cases where routine forensic methods are unable to determine the time and cause of death due to advanced decomposition, these drugs may affect the development of necrophagous insects and lead to deviations in PMI estimations. Investigating these potential effects on necrophagous insects provides valuable comparative data for minPMI estimates. The present study investigate the effects of different clonazepam concentrations on the larval and pupal developmental stages, larval weight, and length measurements of C. vicina. Experimental studies were conducted under controlled laboratory conditions. Laboratory studies were initiated with newly hatched first-instar larvae and continued with checks at six-hour intervals until adult emergence. For the larval weight measurements presented in the study, 10 larvae were randomly selected from each experimental group and weighed (in milligrams) on a precision balance. The subjects were then subjected to a boiling water bath, and their body lengths (mm) were meticulously recorded. The posterior spiracles were examined under an Olympus BX51 stereo microscope in order to ascertain the developmental stages. The present dataset supplies reference data for the determination of PMI in cases of suspected death due to clonazepam by means of C. vicina.
DOI: 10.17632/g4g2kjywjn.1
title: Effects of Clonazepam on developmental stages, larval weight, and length measurements of Calliphora vicina

description: Benzodiazepines such as clonazepam can cause overdose-related deaths when used either therapeutically or illicitly. In cases where routine forensic methods are unable to determine the time and cause of death due to advanced decomposition, these drugs may affect the development of necrophagous insects and lead to deviations in PMI estimations. Investigating these potential effects on necrophagous insects provides valuable comparative data for minPMI estimates. The present study investigate the effects of different clonazepam concentrations on the larval and pupal developmental stages, larval weight, and length measurements of C. vicina. Experimental studies were conducted under controlled laboratory conditions. Laboratory studies were initiated with newly hatched first-instar larvae and continued with checks at six-hour intervals until adult emergence. For the larval weight measurements presented in the study, 10 larvae were randomly selected from each experimental group and weighed (in milligrams) on a precision balance. The subjects were then subjected to a boiling water bath, and their body lengths (mm) were meticulously recorded. The posterior spiracles were examined under an Olympus BX51 stereo microscope in order to ascertain the developmental stages. The present dataset supplies reference data for the determination of PMI in cases of suspected death due to clonazepam by means of C. vicina.
DOI: 10.17632/rrfwny7byp
title: Industry Peer Effect of Corporate Green Innovation

description: This study uses China's pilot carbon emission trading policy as a quasi-natural experiment and the difference-in-differences (DID) method to explore the industry peer effect of corporate green innovation, effectively solving the endogeneity issue in previous studies. Results show corporate green innovation has a significant industry peer effect: higher green innovation levels of emission-controlled enterprises affect other same-industry enterprises’ green innovation via this effect. The conclusion remains statistically significant even after robustness tests and endogeneity treatment. Further research finds this peer effect mainly works through two channels: enterprises’ own constraint behaviors and their strategic imitation of emission-controlled enterprises. Besides, enterprises’ pricing power and emission-controlled enterprises’ industry status both impact the peer effect of green innovation. Finally, the study reveals internal control and external attention influence the peer effect’s effectiveness—specifically, high-quality internal control and more external attention significantly strengthen the industry peer effect of corporate green innovation.
DOI: 10.17632/rrfwny7byp.1
title: Industry Peer Effect of Corporate Green Innovation

description: This study uses China's pilot carbon emission trading policy as a quasi-natural experiment and the difference-in-differences (DID) method to explore the industry peer effect of corporate green innovation, effectively solving the endogeneity issue in previous studies. Results show corporate green innovation has a significant industry peer effect: higher green innovation levels of emission-controlled enterprises affect other same-industry enterprises’ green innovation via this effect. The conclusion remains statistically significant even after robustness tests and endogeneity treatment. Further research finds this peer effect mainly works through two channels: enterprises’ own constraint behaviors and their strategic imitation of emission-controlled enterprises. Besides, enterprises’ pricing power and emission-controlled enterprises’ industry status both impact the peer effect of green innovation. Finally, the study reveals internal control and external attention influence the peer effect’s effectiveness—specifically, high-quality internal control and more external attention significantly strengthen the industry peer effect of corporate green innovation.
DOI: 10.17632/cbct6bbctb
title: Single-cell transcriptomics of the mouse retina and retinal organoids in X-linked retinoschisis

description: Retinas were harvested from Rs1 R102W point mutation mice at postnatal weeks 2 and 4 for single-cell transcriptomic analysis. Age-matched C57BL/6 mice served as controls, with a minimum of 10 retinas per group per time point.
Retinal organoids were differentiated from induced pluripotent stem cells (iPSCs), which were reprogrammed from urinary cells of a patient with an Rs1 R102W point mutation. Retinal organoids derived from normal iPSCs were used as controls. Organoids were collected at day 50 for single-cell transcriptomic analysis, with a minimum of 20 organoids per group.