cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2bmwrm
title: CCDC 2164071: Experimental Crystal Structure Determination

description: Related Article: Elvira I. Musina, Igor D. Strelnik, Alena S. Shpagina, Anna S. Balueva, Tatiana I. Wittmann, Robert R. Fayzullin, Andrey A. Karasik|2022|Polyhedron|225|116053|doi:10.1016/j.poly.2022.116053
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bmwsn
title: CCDC 2164072: Experimental Crystal Structure Determination

description: Related Article: Elvira I. Musina, Igor D. Strelnik, Alena S. Shpagina, Anna S. Balueva, Tatiana I. Wittmann, Robert R. Fayzullin, Andrey A. Karasik|2022|Polyhedron|225|116053|doi:10.1016/j.poly.2022.116053
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17632/v8536j99r5.2
title: Qualitative analysis of the reflection of the mathematical dimension of gambling in gaming online content

description: Mathematics is strongly connected to gambling through the mathematical models underlying any game of chance. Mathematics is reflected not only in games’ design/characteristics and their outcomes, but also in gamblers’ perception and knowledge of the mathematics-related facts of gambling – which influence their gambling behavior. The math-indispensability principle applies not only in problem-gambling research, but also in the gambling industry. The structural, informative, strategic, psychological, pathological, and ethical aspects of gambling have been identified to be grounded in the mathematics of games and gambling. In this theoretical framework, research is able to derive concrete norms and criteria to adequately reflect the mathematical dimension of gambling in the communication and texts associated with the gambling industry. These norms and criteria of adequacy will be further communicated to policy and decision makers in both governmental and private sectors, with the recommendation for implementation. Our study aims to evaluate qualitatively the reflection of the mathematical dimension of gambling in the content of gambling websites. This analysis is necessary in order to have an objective and concrete image of the actual state of this matter in the online industry and of the challenges that such research and application would face in the real world of gambling. A minimum number of 600 gambling websites will be reviewed annually for their content in that respect. A statistical analysis will record the presence of the mathematical dimension of gambling and its forms in the content of participating websites, and a qualitative research will analyze and assess the quality of the content with respect to that dimension..
DOI: 10.5517/ccdc.csd.cc2bmysq
title: CCDC 2164134: Experimental Crystal Structure Determination

description: Related Article: Jiabin Luo, Chuanguo Cui, Zhiyin Xiao, Wei Zhong, Chunxin Lu, Xiujuan Jiang, Xueming Li, Xiaoming Liu|2022|Dalton Trans.|51|11558|doi:10.1039/D2DT01673G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17632/y65mxg5thz
title: small partnerships

description: Basic financial data from published abbreviated financial statements from private partnerships which have the legal form of a) a pure partnership (omorithmos firm) and/or b) a limited partnership (eterorithmos firm) .
DOI: 10.17632/y65mxg5thz.1
title: small partnerships

description: Basic financial data from published abbreviated financial statements from private partnerships which have the legal form of a) a pure partnership (omorithmos firm) and/or b) a limited partnership (eterorithmos firm) .
DOI: 10.17632/v9w66rrcyn
title: Remote Sensing Monitoring of Soil Salinization Based on Bootstrap-Boruta Feature Stability Assessment: A Case Study in the Minqin Lake Region

description: This dataset supports the study “Remote Sensing Monitoring of Soil Salinization Based on Bootstrap-Boruta Feature Stability Assessment: A Case Study in Minqin Lake Region.” It integrates satellite imagery, ground sample point data, and custom programming functions for reproducible modeling and analysis.
Research Hypothesis
Evaluating the stability of remote sensing features, rather than just their importance, and combining these with an advanced optimization algorithm (RBMO-BPNN) would yield more reliable and precise predictions of soil salinity in arid, complex environments.

Data Summary
 Satellite imagery: Sentinel-1 SAR and Sentinel-2 MSI data processed at 10 m resolution, including salinity, vegetation, and moisture indices.
 Ground data: 144 soil samples (June–July 2024) with measured electrical conductivity (EC) for calibration and validation.
 Terrain and climate data: DEM-derived terrain features and 40-year climate averages to enhance environmental modeling.
 Programming functions: Custom scripts for feature stability assessment, model training, and salinity mapping workflows.

Notable Findings
 Identified 11 stable remote sensing features (e.g., NDSI, MNDWI, CRSI) with consistent predictive power.
 The Bootstrap-Boruta + RBMO-BPNN approach achieved the highest accuracy (R² = 0.83, RMSE = 1.23), outperforming traditional methods by up to 24%.
 Spatial prediction showed 31.5% of the region affected by salinization, with severe cases concentrated along oasis edges.

Interpretation & Usage
This dataset enables:
 Reproduction of the feature stability framework and predictive models.
 High-resolution mapping of soil salinity to guide land management, agricultural planning, and ecological restoration.
 Adaptation of the methodology to other arid or semi-arid regions with appropriate environmental adjustments.
DOI: 10.17632/v9w66rrcyn.1
title: Remote Sensing Monitoring of Soil Salinization Based on Bootstrap-Boruta Feature Stability Assessment: A Case Study in the Minqin Lake Region

description: This dataset supports the study “Remote Sensing Monitoring of Soil Salinization Based on Bootstrap-Boruta Feature Stability Assessment: A Case Study in Minqin Lake Region.” It integrates satellite imagery, ground sample point data, and custom programming functions for reproducible modeling and analysis.
Research Hypothesis
Evaluating the stability of remote sensing features, rather than just their importance, and combining these with an advanced optimization algorithm (RBMO-BPNN) would yield more reliable and precise predictions of soil salinity in arid, complex environments.

Data Summary
 Satellite imagery: Sentinel-1 SAR and Sentinel-2 MSI data processed at 10 m resolution, including salinity, vegetation, and moisture indices.
 Ground data: 144 soil samples (June–July 2024) with measured electrical conductivity (EC) for calibration and validation.
 Terrain and climate data: DEM-derived terrain features and 40-year climate averages to enhance environmental modeling.
 Programming functions: Custom scripts for feature stability assessment, model training, and salinity mapping workflows.

Notable Findings
 Identified 11 stable remote sensing features (e.g., NDSI, MNDWI, CRSI) with consistent predictive power.
 The Bootstrap-Boruta + RBMO-BPNN approach achieved the highest accuracy (R² = 0.83, RMSE = 1.23), outperforming traditional methods by up to 24%.
 Spatial prediction showed 31.5% of the region affected by salinization, with severe cases concentrated along oasis edges.

Interpretation & Usage
This dataset enables:
 Reproduction of the feature stability framework and predictive models.
 High-resolution mapping of soil salinity to guide land management, agricultural planning, and ecological restoration.
 Adaptation of the methodology to other arid or semi-arid regions with appropriate environmental adjustments.
DOI: 10.5281/zenodo.17022038
title: Experimental data about  zoisite

description: All the experimental data for electrical conductivity of zoisite, measured at pressures of 1.0, 3.0, and 4.5 GPa over temperature range from 723-1573 K, are provided.
DOI: 10.5281/zenodo.17022039
title: Experimental data about  zoisite

description: All the experimental data for electrical conductivity of zoisite, measured at pressures of 1.0, 3.0, and 4.5 GPa over temperature range from 723-1573 K, are provided.
DOI: 10.17632/tmny8jkx32
title: Formal and Informal Structures of Bulawayo

description: To automate the process of building structure analysis, a dataset of images of various building structures in the Bulawayo metropolitan area in Zimbabwe, Africa, was created. The dataset comprises images of formal and informal structures located within the Bulawayo metropolitan area in Zimbabwe, Africa. Formal and informal structures are structures accounted for and unaccounted for by the city council, respectively. These images were captured using digital cameras, smartphones, and drones between August 2021 and September 2022.
The intended use of these images is twofold. Firstly, they can serve general purposes, aiding in the understanding of the features and architecture of African residential buildings from engineering, architectural, or artistic perspectives. Furthermore, these images can support the development of machine learning models specifically designed for the African context. To mirror the intended use, there are two main folders in the dataset, namely, General and Machine Learning.
The General folder has 850 images placed in three subfolders: Formal Structures, Informal Structures and Mixed Structures. As the names suggest, the images in these three subfolders consist of formal structures, informal structures, and a combination of both types of structures, respectively.
The Machine Learning folder has two sub-folders: images and labels. The images folder has 984 images placed into three sub-folders of images namely train, validate and test. The labels folder contains text files that include labels for each image. The labels follow the You Only Look Once (YOLO) format.
DOI: 10.17632/tmny8jkx32.1
title: Formal and Informal Structures of Bulawayo

description: To automate the process of building structure analysis, a dataset of images of various building structures in the Bulawayo metropolitan area in Zimbabwe, Africa, was created. The dataset comprises images of formal and informal structures located within the Bulawayo metropolitan area in Zimbabwe, Africa. Formal and informal structures are structures accounted for and unaccounted for by the city council, respectively. These images were captured using digital cameras, smartphones, and drones between August 2021 and September 2022.
The intended use of these images is twofold. Firstly, they can serve general purposes, aiding in the understanding of the features and architecture of African residential buildings from engineering, architectural, or artistic perspectives. Furthermore, these images can support the development of machine learning models specifically designed for the African context. To mirror the intended use, there are two main folders in the dataset, namely, General and Machine Learning.
The General folder has 850 images placed in three subfolders: Formal Structures, Informal Structures and Mixed Structures. As the names suggest, the images in these three subfolders consist of formal structures, informal structures, and a combination of both types of structures, respectively.
The Machine Learning folder has two sub-folders: images and labels. The images folder has 984 images placed into three sub-folders of images namely train, validate and test. The labels folder contains text files that include labels for each image. The labels follow the You Only Look Once (YOLO) format.
DOI: 10.17632/y47hfb58yv.1
title: Harnessing Inactive Molybdenum Species in Ill-Defined Catalyst to Work in Propylene Metathesis by Propane Pretreatment

description: Research and supporting data refers to experimetal and DFT results
DOI: 10.17632/tx279jp62k
title: LWAC

description: Research paper
DOI: 10.17632/tx279jp62k.1
title: LWAC

description: Research paper
DOI: 10.17632/p4wvgrr3s6
title: Movie Box Office Revenue: The Mediating Role of Online Word of Mouth in China

description: The dataset is collected from two authoritative sources, namely the China Movie Database and Douban, and encompasses a total of 921 movies released between January 2017 and March 2024.Each entry in the CMM dataset is a multimodal movie data point, including such elements as box office data, movie posters, stills, information pertaining to the cast and crew, and user reviews
DOI: 10.17632/p4wvgrr3s6.1
title: Movie Box Office Revenue: The Mediating Role of Online Word of Mouth in China

description: The dataset is collected from two authoritative sources, namely the China Movie Database and Douban, and encompasses a total of 921 movies released between January 2017 and March 2024.Each entry in the CMM dataset is a multimodal movie data point, including such elements as box office data, movie posters, stills, information pertaining to the cast and crew, and user reviews
DOI: 10.17632/fx95ncbpf5
title: Psychological morbidity, sources and coping strategies of stress among undergraduate students of medical colleges in district Peshawar: A Cross Sectional Study.

description: Students' health and academic performance may be negatively affected by stress. Coping techniques are distinct methods that people use to cope with stress. The goal of this research was to determine how medical students perceived stress and how they dealt with it. 
Methods: A cross-sectional study was conducted among 500 undergraduate students of medical college. Stress was assessed by a General Health Questionnaire - 12. Sources of stress were assessed using a 17-item questionnaire. The validated Brief COPE inventory was used to assess coping strategies.
DOI: 10.17632/fx95ncbpf5.2
title: Psychological morbidity, sources and coping strategies of stress among undergraduate students of medical colleges in district Peshawar: A Cross Sectional Study.

description: Students' health and academic performance may be negatively affected by stress. Coping techniques are distinct methods that people use to cope with stress. The goal of this research was to determine how medical students perceived stress and how they dealt with it. 
Methods: A cross-sectional study was conducted among 500 undergraduate students of medical college. Stress was assessed by a General Health Questionnaire - 12. Sources of stress were assessed using a 17-item questionnaire. The validated Brief COPE inventory was used to assess coping strategies.
DOI: 10.17632/9y58bgzc2m
title: Nanotechnology in Air Purification: A Dataset Perspective

description: Nanotechnology has gained a lot of attention due to its potential in energy , environmental and biomedical applications. In this study, titanium dioxide and manganese dioxide has been synthesis under a controlled chemical method. The synthesized nanoparticle were characterized to evaluate there structures, morphological and optical properties. SEM revealed that both the nanoparticle showed uniform distribution with particles size in nanometer. TEM confirmed the crystalline nature and a detailed description on its lattice size, purity and well defined morphology. Further UV- Vis spectroscopy analysis demonstrates the absorption peaks, confirming their potential as photocatalyst and energy harvesting materials. This work shows the importance of synthesized nanoparticle, there characterization and application in nanomaterial based technologies.
DOI: 10.17632/9y58bgzc2m.1
title: Nanotechnology in Air Purification: A Dataset Perspective

description: Nanotechnology has gained a lot of attention due to its potential in energy , environmental and biomedical applications. In this study, titanium dioxide and manganese dioxide has been synthesis under a controlled chemical method. The synthesized nanoparticle were characterized to evaluate there structures, morphological and optical properties. SEM revealed that both the nanoparticle showed uniform distribution with particles size in nanometer. TEM confirmed the crystalline nature and a detailed description on its lattice size, purity and well defined morphology. Further UV- Vis spectroscopy analysis demonstrates the absorption peaks, confirming their potential as photocatalyst and energy harvesting materials. This work shows the importance of synthesized nanoparticle, there characterization and application in nanomaterial based technologies.
DOI: 10.17632/j3kzmd4cft
title: Light spectrum, intensity and photoperiod are key for production as well as speed breeding of spring wheat in indoor farming

description: This study aimed at developing a lighting strategy that can facilitate speed breeding as well as promote the production of spring wheat in indoor farming. We explored the effects of light spectrum, light color temperature, light intensity, photoperiod as well as light pattern on wheat growth, development, leaf photosynthesis, yield and seed quality.
DOI: 10.17632/j3kzmd4cft.1
title: Light spectrum, intensity and photoperiod are key for production as well as speed breeding of spring wheat in indoor farming

description: This study aimed at developing a lighting strategy that can facilitate speed breeding as well as promote the production of spring wheat in indoor farming. We explored the effects of light spectrum, light color temperature, light intensity, photoperiod as well as light pattern on wheat growth, development, leaf photosynthesis, yield and seed quality.
DOI: 10.17632/tkjptbxhf6.3
title: Innovation policy and regional innovation

description: This replication package contains all the available data, code, and instructions to reproduce the results presented in the paper:
Paper title: Does innovation policy promote innovation? Evidence from innovation targets in China’s Five-Year Plans
DOI: 10.21227/ec7n-we32
title: "Datasets used for Multivariate Time Series Forecasting "

description: "It consists of two hourly-level datasets (ETTh) and two 15-minute-level datasets (ETTm). Each of them contains seven load characteristics of oil and power transformers from July 2016 to July 2018."
DOI: 10.17632/tkjptbxhf6.4
title: Innovation policy and regional innovation

description: This replication package contains all the available data, code, and instructions to reproduce the results presented in the paper:
Paper title: Does innovation policy promote innovation? Evidence from innovation targets in China’s Five-Year Plans
DOI: 10.17632/v4fmg35844
title: Digital and manual evaluation of tooth preparation geometry of single crowns
DOI: 10.17632/v4fmg35844.1
title: Digital and manual evaluation of tooth preparation geometry of single crowns
DOI: 10.17632/c5np7zbgwb
title: Comparison of MTA and Portland cement

description: Raw and summarized data comparing MTA Cem and Kenyan PC
DOI: 10.17632/c5np7zbgwb.1
title: Comparison of MTA and Portland cement

description: Raw and summarized data comparing MTA Cem and Kenyan PC
DOI: 10.6084/m9.figshare.30024797.v1
title: Remarkable drug-like properties of mixed ligand coordination compounds having dicarboxylic acid: synthesis, characterization, molecular docking and DFT studies

description: Four mixed ligand metal complexes have been synthesized from <i>ortho</i>-phenylenediamine (OPD) Schiff base and a dicarboxylic acid (succinic acid). Using spectral examinations in the UV–Vis, FT-IR, mass, electron paramagnetic resonance, and nuclear magnetic resonance, the prepared ligand and the complexes have been characterized. Numerous methodologies have been employed to examine pharmacological activities, including those related to anti-oxidant, anti-microbial, and DNA binding. Utilizing the B3LYP/6-31G (d) basis set and the Gaussian-09 program, the Density Functional theory investigations have optimized the ligand and its metal complexes’ molecular structures in order to investigate the theoretical properties. Furthermore, all complexes involving the interacting amino acids of the bacterial kinase (PDB ID: 7VKB) and fungal kinase (PDB ID: 6U6A) underwent molecular docking studies. In the results, metal complex [CuL(L<sub>1</sub>)] showed good DNA binding ability, antimicrobial (Lowest MIC 1.3 µg/mL), antifungal (Lowest MIC 1.2 µg/mL) and anioxidant (Lowest IC<sub>50</sub> 2.0 µg/mL) activities which ensure the good drug candidacy potentials of [CuL(L<sub>1</sub>)]. Formation of mixed-ligand square planar complexes by incorporating <i>o</i>-phenylenediamine Schiff base and succinic acidConfirming the biological effect of the complexes by quantum mechanical examinations and molecular docking studiesThe outstanding drug-like properties of metal(II) complexes revealed by the <i>in silico</i> SWISS ADME propertyEstablishing the copper complex as potent biological agent by <i>in vitro</i> and <i>in silico</i> studies Formation of mixed-ligand square planar complexes by incorporating <i>o</i>-phenylenediamine Schiff base and succinic acid Confirming the biological effect of the complexes by quantum mechanical examinations and molecular docking studies The outstanding drug-like properties of metal(II) complexes revealed by the <i>in silico</i> SWISS ADME property Establishing the copper complex as potent biological agent by <i>in vitro</i> and <i>in silico</i> studies