cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/3y6zcnznpm.1
title: Uttarakhand@25: A Comprehensive Analysis of Aspirations, Developmental Contradictions, Governance Challenges, and Future Pathways

description: Uttarakhand, formed in 2000, marks 25 years of statehood at a crossroads of aspiration and fragility. This paper synthesizes economic, social, environmental, and governance evidence to explain why the state has grown unevenly — high service and tourism-driven growth alongside persistent rural out-migration, environmental vulnerabilities, and governance gaps. Combining secondary data analysis, literature synthesis, and policy review, we: (1) map economic structure and fiscal dynamics; (2) analyse migration and demographic shifts; (3) review environmental and disaster risk challenges; (4) assess governance performance and institutional bottlenecks; and (5) propose integrated policy pathways for sustainable, inclusive development that honours Himalayan ecologies and local communities. Key findings highlight the need to re-balance growth toward resilient rural economies, mainstream eco-sensitive infrastructure, strengthen sub-state governance and fiscal autonomy, and co-produce policy with local stakeholders. The paper concludes with actionable recommendations and a research agenda for the next decade.
DOI: 10.17632/3zzg48gpnh
title: Intra-industry Corporate Bond Defaults and Analyst Earnings Forecast

description: Our initial sample comprises Chinese A-share listed firms on the Shanghai and Shenzhen stock exchanges from 2010 to 2020. Following Clement and Tse (2005) and accounting for institutional features of Chinese markets, we apply these exclusion criteria: (1) financial sector firms; (2) firms under Special Treatment designation due to abnormal financial conditions; (3) observations with missing variables; (4) firm-years covered by only one analyst; (5) firms experiencing bond defaults themselves; and (6) earnings forecasts issued within 30 calendar days preceding annual report disclosures. The final sample consists of 44,792 firm-year-quarter observations and 340,312 analyst earnings forecasts.
The bond default data are obtained from the Wind database. The earliest year for corporate bond default in China is 2014. At the end of 2020, 810 corporate bonds had defaulted in China, involving 213 companies across 57 industries, where the industry classification is based on the three-digit 2012 China Securities Regulatory Commission classification code. The analyst earnings forecast data and financial data are from the China Stock Market & Accounting Research database. All continuous variables are winsorized at the 1st and 99th percentiles to mitigate outlier influence.
DOI: 10.17632/3zzg48gpnh.2
title: Intra-industry Corporate Bond Defaults and Analyst Earnings Forecast

description: Our initial sample comprises Chinese A-share listed firms on the Shanghai and Shenzhen stock exchanges from 2010 to 2020. Following Clement and Tse (2005) and accounting for institutional features of Chinese markets, we apply these exclusion criteria: (1) financial sector firms; (2) firms under Special Treatment designation due to abnormal financial conditions; (3) observations with missing variables; (4) firm-years covered by only one analyst; (5) firms experiencing bond defaults themselves; and (6) earnings forecasts issued within 30 calendar days preceding annual report disclosures. The final sample consists of 44,792 firm-year-quarter observations and 340,312 analyst earnings forecasts.
The bond default data are obtained from the Wind database. The earliest year for corporate bond default in China is 2014. At the end of 2020, 810 corporate bonds had defaulted in China, involving 213 companies across 57 industries, where the industry classification is based on the three-digit 2012 China Securities Regulatory Commission classification code. The analyst earnings forecast data and financial data are from the China Stock Market & Accounting Research database. All continuous variables are winsorized at the 1st and 99th percentiles to mitigate outlier influence.
DOI: 10.17632/k6zwb6c6g6
title: Virtual Tensile Test Dataset of Stress–Strain Response in Long Discontinuous Fiber Composites with Stochastic Mesostructure

description: Virtual uniaxial tensile test coupons were generated with stochastic Prepreg Platelet Molded Composite (PPMC) mesostructure. Progressive Failure Analysis was performed on Abaqus Standard using Continuum Damage Mechanics (CDM) and Cohesive Zone Modelling (CZM) methods. 

The stochastic mesostructure information of each sample was processed such that the explicitly represented platelet geometry and fiber orientations from the Finite Element (FE) model were reduced to compact mesostructure descriptors in the form of in-plane distributions of second-order fiber orientation tensor components a11 and a12. The layerwise a11 and a12 distributions (high-resolution mesostructure descriptors) were further reduced to coarse mesostructure descriptors by locally averaging the a11 and a12 values through the thickness at each voxel location across the length and width of a coupon. 

The macroscopic (effective) stress-strain data for each coupon were also preprocessed to include a) the strain at peak stress, b) terminal strain (corresponding to the simulation cut-off point at 10% load drop) and c) 40 stress values at prescribed fractions of the previously mentioned reference strains a and b. 

Both the preprocessed (normalized) and raw (non-normalized) stress-strain data, as well as coarse and high-resolution mesostructure descriptors for 3400 unique virtual PPMC tensile test samples are included in the attachments. An accompanying dataset guide spreadsheet documents the file-naming convention, pre-processing applied on the raw data, material properties of each sample and dataset-wide summary statistics. An example python script is also provided to visualize the inputs (fiber orientation distribution at low and high resolution) and outputs (stress-strain curves) for individual samples.

Research Hypothesis: 
This dataset enables training of data-driven surrogate models to learn mappings between fiber orientation distributions and stress–strain response of PPMCs. In a related study by the authors (to be linked upon publication), a deep learning–based surrogate model trained on this dataset demonstrated that coarse mesostructural descriptors in the form of through-thickness–averaged fiber orientations can serve as effective structural representations for multiscale analysis of stress–strain response in PPMCs. Using only these coarse descriptors, tensile stiffness was predicted with a mean absolute percentage error (MAPE) below 3% while tensile strength and failure strain were predicted with a MAPE below 10%. These results highlight the potential of reduced-order structural descriptors to lower experimental characterization and computational modeling requirements for materials with complex, spatially heterogeneous subscale morphology.
DOI: 10.17632/k6zwb6c6g6.1
title: Virtual Tensile Test Dataset of Stress–Strain Response in Long Discontinuous Fiber Composites with Stochastic Mesostructure

description: Virtual uniaxial tensile test coupons were generated with stochastic Prepreg Platelet Molded Composite (PPMC) mesostructure. Progressive Failure Analysis was performed on Abaqus Standard using Continuum Damage Mechanics (CDM) and Cohesive Zone Modelling (CZM) methods. 

The stochastic mesostructure information of each sample was processed such that the explicitly represented platelet geometry and fiber orientations from the Finite Element (FE) model were reduced to compact mesostructure descriptors in the form of in-plane distributions of second-order fiber orientation tensor components a11 and a12. The layerwise a11 and a12 distributions (high-resolution mesostructure descriptors) were further reduced to coarse mesostructure descriptors by locally averaging the a11 and a12 values through the thickness at each voxel location across the length and width of a coupon. 

The macroscopic (effective) stress-strain data for each coupon were also preprocessed to include a) the strain at peak stress, b) terminal strain (corresponding to the simulation cut-off point at 10% load drop) and c) 40 stress values at prescribed fractions of the previously mentioned reference strains a and b. 

Both the preprocessed (normalized) and raw (non-normalized) stress-strain data, as well as coarse and high-resolution mesostructure descriptors for 3400 unique virtual PPMC tensile test samples are included in the attachments. An accompanying dataset guide spreadsheet documents the file-naming convention, pre-processing applied on the raw data, material properties of each sample and dataset-wide summary statistics. An example python script is also provided to visualize the inputs (fiber orientation distribution at low and high resolution) and outputs (stress-strain curves) for individual samples.

Research Hypothesis: 
This dataset enables training of data-driven surrogate models to learn mappings between fiber orientation distributions and stress–strain response of PPMCs. In a related study by the authors (to be linked upon publication), a deep learning–based surrogate model trained on this dataset demonstrated that coarse mesostructural descriptors in the form of through-thickness–averaged fiber orientations can serve as effective structural representations for multiscale analysis of stress–strain response in PPMCs. Using only these coarse descriptors, tensile stiffness was predicted with a mean absolute percentage error (MAPE) below 3% while tensile strength and failure strain were predicted with a MAPE below 10%. These results highlight the potential of reduced-order structural descriptors to lower experimental characterization and computational modeling requirements for materials with complex, spatially heterogeneous subscale morphology.
DOI: 10.17632/cptt76365n
title: Data on Strategic Management Practices and SME Growth

description: The sample consists of 262 questionnaires filled with the help of a structured questionnaire that was created to investigate the connections between strategic management practices, entrepreneurial orientation, and the development of small and medium-sized enterprises (SMEs). 

The demographic section involves information on the type and the maturity of the SMEs as it records the gender, age, business registration status, number of years in operation, and number of employees. These variables can profile the respondents and can be used to subgroup analysis according to the size of firms, age, and structure of ownership.

The main dataset is strategic management practices the low cost defender, organic business function strategy, product differentiation are assessed through various Likert-scale questions. These measures measure operational effectiveness, the use of resources, the management of costs and in-house strategic alignment. Moreover, the scale of entrepreneurial orientation is assessed by such indicators as proactiveness, innovativeness and opportunity seeking behavior that measures how SMEs foresee the change in the market and take the lead ahead of others.

The dataset can be analyzed using multivariate statistical methods like the factor analysis and structural equation modeling because all perceptual variables will be measured using a five-point Likert scale (strong disagree to strong agreement). On the whole, the data set will be a thorough empirical foundation of the research on the impact of strategic management practices and entrepreneurial orientation on the growth results of SMEs in cooperation.
DOI: 10.17632/cptt76365n.1
title: Data on Strategic Management Practices and SME Growth

description: The sample consists of 262 questionnaires filled with the help of a structured questionnaire that was created to investigate the connections between strategic management practices, entrepreneurial orientation, and the development of small and medium-sized enterprises (SMEs). 

The demographic section involves information on the type and the maturity of the SMEs as it records the gender, age, business registration status, number of years in operation, and number of employees. These variables can profile the respondents and can be used to subgroup analysis according to the size of firms, age, and structure of ownership.

The main dataset is strategic management practices the low cost defender, organic business function strategy, product differentiation are assessed through various Likert-scale questions. These measures measure operational effectiveness, the use of resources, the management of costs and in-house strategic alignment. Moreover, the scale of entrepreneurial orientation is assessed by such indicators as proactiveness, innovativeness and opportunity seeking behavior that measures how SMEs foresee the change in the market and take the lead ahead of others.

The dataset can be analyzed using multivariate statistical methods like the factor analysis and structural equation modeling because all perceptual variables will be measured using a five-point Likert scale (strong disagree to strong agreement). On the whole, the data set will be a thorough empirical foundation of the research on the impact of strategic management practices and entrepreneurial orientation on the growth results of SMEs in cooperation.
DOI: 10.17632/5csdjjbjdm
title: Yuhanna

description: Artist
"Yuhanna" Is Singer, Sound Engineer, Composer, Song Writer and Founder/Solo Owner of ©Yuhanna  Record Label
Full Legal Name : Sajjad Jamshidi Moghaddam
ISNI:     0000-0005-1324-0692
ORCID: 0000-0002-5636-0465
PPL UK. Registration : 0301950690
Copyright 2009-Present ©Yuhanna PPL, All rights reserved.
DOI: 10.17632/5csdjjbjdm.1
title: Yuhanna

description: Artist
"Yuhanna" Is Singer, Sound Engineer, Composer, Song Writer and Founder/Solo Owner of ©Yuhanna  Record Label
Full Legal Name : Sajjad Jamshidi Moghaddam
ISNI:     0000-0005-1324-0692
ORCID: 0000-0002-5636-0465
PPL UK. Registration : 0301950690
Copyright 2009-Present ©Yuhanna PPL, All rights reserved.
DOI: 10.17632/jp6sf8ngds
title: Somatic drivers in aldosterone-producing adenomas and nodules: Insights from a Brazilian cohort of primary aldosteronism

description: Supplemental data of the manuscript submitted to The Journal of Clinical Endocrinology & Metabolism.
DOI: 10.17632/jp6sf8ngds.1
title: Somatic drivers in aldosterone-producing adenomas and nodules: Insights from a Brazilian cohort of primary aldosteronism

description: Supplemental data of the manuscript submitted to The Journal of Clinical Endocrinology & Metabolism.
DOI: 10.17632/vp5fsssd7p
title: Zumwalt Prairie Fire Grazing Ordination Data

description: This dataset was used to analyze the effects of prescribed fire, livestock grazing and ventenata cover on vegetation and soil surface characteristics in an experiment with four treatments: prescribed fire (BURN), livestock grazing (GRAZ), combined fire and grazing (BOTH), and no fire or grazing (CNTL). This experiment took place on a bunchgrass grassland in northeast Oregon, USA and spanned 14 years (2008 - 2021), with data collected in 5 of those years. Treatments were replicated four times. Burn treatments were applied on the landscape within blocks and grazing treatments were nested within the burned and unburned sections of each block. Prescribed fire was applied in two years (2006, 2016) and livestock grazing occurred annually. The data consists of species cover data, summarized by treatment and year for the purpose of ordination analysis.
DOI: 10.17632/vp5fsssd7p.1
title: Zumwalt Prairie Fire Grazing Ordination Data

description: This dataset was used to analyze the effects of prescribed fire, livestock grazing and ventenata cover on vegetation and soil surface characteristics in an experiment with four treatments: prescribed fire (BURN), livestock grazing (GRAZ), combined fire and grazing (BOTH), and no fire or grazing (CNTL). This experiment took place on a bunchgrass grassland in northeast Oregon, USA and spanned 14 years (2008 - 2021), with data collected in 5 of those years. Treatments were replicated four times. Burn treatments were applied on the landscape within blocks and grazing treatments were nested within the burned and unburned sections of each block. Prescribed fire was applied in two years (2006, 2016) and livestock grazing occurred annually. The data consists of species cover data, summarized by treatment and year for the purpose of ordination analysis.
DOI: 10.15468/vjmrth
title: Two new Erichsonius species of iSimangaliso Wetland Park in KwaZulu-Natal Province, South Africa (Coleoptera: Staphylinidae, Staphylininae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Janák, Jiří, Uhlig, Manfred (2022): Two new Erichsonius species of iSimangaliso Wetland Park in KwaZulu-Natal Province, South Africa (Coleoptera: Staphylinidae, Staphylininae). Zootaxa 5100 (4): 501-520, DOI: 10.11646/zootaxa.5100.4.3AbstractTwo new Erichsonius (Sectophilonthus) species of South Africa (type locality: KwaZulu-Natal Province: Sodwana Bay) are described, illustrated, and distinguished from similar species: E. (S.) sodwanaensis sp. nov. and E. (S.) muellerae sp. nov.
DOI: 10.17632/wnxny7fj7d
title: Journal of Islam and Social Sciences; No.34

description: The journal scopes include but are not restricted to, the following areas:

Sociology of religion, Islamic sociology and Sociology of Islam;
Social philosophy: in the Quran, Scripture and other religious texts and Sunnah (tradition), in the views of Muslim scholars and comparison of different attitudes and approaches;
Philosophy of social sciences: In Islamic or other religious sourses ( A diverse range of perspectives from convergence to divergence);
Methodology of social sciences: (review of their function and their role in Islamic or religious social sciences);
Social considerations and reflections of Muslim scholars: (social issues and strategic theories, theories and areas of sociology including sociology of religion, sociology of knowledge, historical sociology, cultural sociology);
Religious theorizing (inferred from Islamic resources) on social issues;
Reviewing and comparing social religious propositions of different religions;
Religious-Islamic sociology (subject, methods, theories, analysis and critique of approaches, goals and application, the relation of Islamic sociology with prevailing paradigms in sociology, the role and application of Islamic/religious sociology in Muslim and non-Muslim communities).
DOI: 10.17632/wnxny7fj7d.1
title: Journal of Islam and Social Sciences; No.34

description: The journal scopes include but are not restricted to, the following areas:

Sociology of religion, Islamic sociology and Sociology of Islam;
Social philosophy: in the Quran, Scripture and other religious texts and Sunnah (tradition), in the views of Muslim scholars and comparison of different attitudes and approaches;
Philosophy of social sciences: In Islamic or other religious sourses ( A diverse range of perspectives from convergence to divergence);
Methodology of social sciences: (review of their function and their role in Islamic or religious social sciences);
Social considerations and reflections of Muslim scholars: (social issues and strategic theories, theories and areas of sociology including sociology of religion, sociology of knowledge, historical sociology, cultural sociology);
Religious theorizing (inferred from Islamic resources) on social issues;
Reviewing and comparing social religious propositions of different religions;
Religious-Islamic sociology (subject, methods, theories, analysis and critique of approaches, goals and application, the relation of Islamic sociology with prevailing paradigms in sociology, the role and application of Islamic/religious sociology in Muslim and non-Muslim communities).
DOI: 10.17632/w5c6xb4gtg
title: RCT hystero suction

description: Randomized controlled trial
DOI: 10.17632/w5c6xb4gtg.1
title: RCT hystero suction

description: Randomized controlled trial
DOI: 10.17632/bb7bdfhmbw
title: Data Measuring the Causal Impact of Generative AI Adoption on SME Productivity

description: Data Measuring the Causal Impact of Generative AI Adoption on SME Productivity: A Double Machine Learning Approach
DOI: 10.17632/bb7bdfhmbw.1
title: Data Measuring the Causal Impact of Generative AI Adoption on SME Productivity

description: Data Measuring the Causal Impact of Generative AI Adoption on SME Productivity: A Double Machine Learning Approach
DOI: 10.17632/f9fpcn3rfp
title: Good and Bad classification of chicken (Gallus gallus domesticus)

description: Classification is based on freshness, sensory quality, and safety.
Good (Fresh) Chicken
Color: Pink to light reddish. No green or gray patches.
Odor: Neutral or mild meaty smell.
Texture: Firm and elastic. Springs back on touch.
Skin: Moist but not slimy. No sticky layer.
Eyes and comb in live or dressed birds: Clear eyes. Bright red comb.
Packaging: No swollen pack. No excess drip.
pH: Around 5.8–6.2.
Microbial load: Low. No visible spoilage.
Bad (Spoiled) Chicken
Color: Gray, greenish, or yellow discoloration.
Odor: Sour, rotten egg, or ammonia smell.
Texture: Soft, mushy, or sticky.
Skin: Slimy with tacky surface.
Eyes and comb: Dull eyes. Dark or bluish comb.
Packaging: Bloated pack due to gas.
pH: Above 6.4.
Microbial load: High. Slime or mold may appear.
Decision rule: Any off-odor or slime means reject. Cooking does not make spoiled chicken safe.
DOI: 10.17632/f9fpcn3rfp.1
title: Good and Bad classification of chicken (Gallus gallus domesticus)

description: Classification is based on freshness, sensory quality, and safety.
Good (Fresh) Chicken
Color: Pink to light reddish. No green or gray patches.
Odor: Neutral or mild meaty smell.
Texture: Firm and elastic. Springs back on touch.
Skin: Moist but not slimy. No sticky layer.
Eyes and comb in live or dressed birds: Clear eyes. Bright red comb.
Packaging: No swollen pack. No excess drip.
pH: Around 5.8–6.2.
Microbial load: Low. No visible spoilage.
Bad (Spoiled) Chicken
Color: Gray, greenish, or yellow discoloration.
Odor: Sour, rotten egg, or ammonia smell.
Texture: Soft, mushy, or sticky.
Skin: Slimy with tacky surface.
Eyes and comb: Dull eyes. Dark or bluish comb.
Packaging: Bloated pack due to gas.
pH: Above 6.4.
Microbial load: High. Slime or mold may appear.
Decision rule: Any off-odor or slime means reject. Cooking does not make spoiled chicken safe.
DOI: 10.17632/3427x3wzzc.1
title: Human renal clearance of xenobiotics

description: Dataset contains human renal clearance values of exogenous substances. The final set contains over 1,700 experimental observations from 761 scientific articles and covers over 500 unique substances studied. The main source of the data were publicly available scientific articles.
DOI: 10.17632/wng3nkjbt8
title: Table 1. Summary of Efficacy and Safety Findings Across Included Studies

description: This table summarizes the key evidence from recent clinical studies on the use of Dupilumab for CSU. It demonstrates findings across various study designs, from case reports to randomized controlled trials, highlighting consistent trends in both efficacy and safety. The data show promising remission rates and symptom control, particularly for patients refractory to other therapies, while indicating a generally favorable safety profile with manageable side effects.
DOI: 10.17632/wng3nkjbt8.1
title: Table 1. Summary of Efficacy and Safety Findings Across Included Studies

description: This table summarizes the key evidence from recent clinical studies on the use of Dupilumab for CSU. It demonstrates findings across various study designs, from case reports to randomized controlled trials, highlighting consistent trends in both efficacy and safety. The data show promising remission rates and symptom control, particularly for patients refractory to other therapies, while indicating a generally favorable safety profile with manageable side effects.