cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/c7975tw86n.1
title: Supplemental Material

description: This supplemental material includes the "Quality of Evidence as Established by the 2009 Oxford Levels of Evidence Criteria" table and references for all articles included in this systematic review.
DOI: 10.17632/r2sm43trbr.1
title: Data and Code: Adhesion tunes speed and persistence by coordinating protrusions and extracellular matrix remodeling

description: Western blots and MATLAB script containing PLSR code
DOI: 10.17632/zykf6zh5wg.1
title: ESG&FP_OG

description: Given the singularities in the industry, Oil and Gas companies are under the spotlight of investors, governments, ecologists, and general population for the highly evident negative environmental effects of their daily processes and because of the energy transition. The findings in the literature about the impact of ESG disclosure on financial performance capital markets are inconclusive. Some authors report a positive, others a negative association, and there are even those who report a null association. The purpose of this study is to present a quantitative analysis of the association between: (1) ESG ratings and corporate bond credit spreads (debt market) and (2) ESG ratings and return of share prices (stock market), in the oil and gas industry. Two-stage-least-square regressions on panel data were executed (to overcome endogeneity) using secondary data from Refinitiv from 2018 to 2022. Our results indicate that there is a negative association between the EGS disclosure and the credit spread of corporate bonds; while in the stock market, a positive association was found between ESG disclosure and the stock return. Additionally, we conclude that compared with state-owned companies, the ESG disclosure of non-state-owned companies increases the financial performance by a greater extent in Oil and Gas industry.

Hypothesis 1 (H1). A higher ESG rating is associated with a lower credit bond spread (risk) in O&G companies.

Since the return of a security is inversely related to risk, we propose the second hypothesis to test:

Hypothesis 2 (H2): A higher ESG rating is associated with a higher Year-to-Date total return of shares in O&G companies.

In our study, state-owned companies refer to limited liability companies with more than 50% state-owned capital. Unlike non-state-owned companies, state-owned companies have the policy task of guiding national economic operations. The default risk of state-owned companies (SOC) is lower compared to that of non-state-owned companies (non-SOC) [17]. We anticipate that state-owned corporate bonds in the secondary market will have higher valuations and lower credit spreads. Non-state-owned companies rely more on information disclosure to convey positive signals to outsiders and enhance their competitiveness in the capital market. Therefore, ESG information plays a more significant role for them. This leads to the formulation of the third and fourth hypotheses:

Hypothesis 3 (H3). Compared to state-owned companies, non-state-owned O&G companies' ESG disclosure reduces credit spreads of corporate bonds to a greater extent.

Hypothesis 4 (H4): Compared to state-owned companies, non-state-owned O&G companies' ESG disclosure increases the Year-to-Date total return to a greater extent.
DOI: 10.17632/f6kgjx2zmy.1
title: PREVALENCE OF HAMSTRING AND CALF TIGHTNESS IN COLLEGIATE ATHLETES 

description: Background: Muscle tightness is an inability of a muscle or muscle groups to move through a full range of motion for a specified body part. Amongst the lower limb muscle injury hamstring and calf muscle injuries are common in runners. Running-related sports demand excellent lower limb flexibility to avoid recurrent muscle injuries. Frequent muscle injuries in high-performance athletes are common due to hamstring and calf tightness and create significant player downtime due to their high mean time to return to sport and propensity to occur during crucial times of the competitive season.
Objective: To find out the prevalence of hamstring and calf tightness in both males and females from dominant to non dominant side in collegiate athletes.
Methodology and outcome measures: A cross-sectional study done in sports complex, Chandigarh University, Gharaun, Mohali in Collegiate Athletes from sports like soccer, baseball, cricket and sprinter to identify the hamstring and calf tightness. Active knee Extension test and Silfverskiold test was used for measuring hamstring and calf muscle tightness.
97.54% in right side and 95.65 on left side with mean 59.59 ± 5.448 and 63.30 ± 4.714. Prevalence of gastrocnemius tightness is 92.55% and 84.47% in right and left lower limb respectively. While the prevalence of soleus tightness was significantly low about 49.07% and 16.77% in right and left lower limb. 
Conclusion: Hamstring muscle and gastrocnemius tigthtness is common in sports which involve running while soleus tightness is less prevalent.  Hamstring muscle tightness had significant relation with gender but no significant relation with dominant and non dominant side. Even there was no significant relation found in between the gender and dominant side with the prevalence of gastrocnemius and soleus tightness in the study.
Keywords: Hamstring Tightness , Calf tightness, AKET, Silfverskiold Test.
DOI: 10.34740/kaggle/ds/672399
title: The IQ-OTH/NCCD lung cancer dataset
DOI: 10.17632/ngnv69nrgt.1
title: Supplement table for "Factors predicting response to Oral Methylprednisolone Tapering Treatment in Alopecia Areata: A retrospective study"

description: Supplement Table 1. Characteristics of the Study Patients
DOI: 10.17632/74s2cx58kj.1
title: A new interpretable probabilistic prediction framework for step-like landslide displacement

description: NGB-SHAP
DOI: 10.17632/jtfr73m7vp.1
title: Assortment-Eskandari

description: we generate a series of random test cases to illustrate the applicability of the proposed modified augmented ε-constraint method. As this is an NP-hard problem, search space will expand by increasing the size of instance data, and the computational time will increase exponentially. For this reason, we consider instances of problems where the execution time of the proposed method does not take more than ten minutes. The test cases are generated following the presented procedure. The number of products is considered to be n∈{30,40,50} and the number of customer types is considered to be m∈{100,150,200}. We sample the revenue of each product independently from a uniform distribution over [1,100]. We divided the products into three categories as follows: 1) Inexpensive products with a price range between 1 and 40, 2) Medium price products with a price range between 41 and 80 , and 3) Expensive products with a price range between 81 and 100. We have chosen a collection of m customer’s preference lists with a maximum length of 10. It should be mentioned that each preference list represents a customer type.
	Customer types are also divided into three categories. The first category (G_1) is customers whose preference list includes only inexpensive products. The second category (G_2) is customers whose preference list consists of only medium-priced products. The third category (G_3) is customers whose preference list includes only expensive products. We consider 30%, 50%, and 20% of customers as the first, the second, and the third category. It should be noted that if the number of customers in the first category is m_1, the number of customers in the second category is m_2, and the number of customers in the third category is m_3.
Finally, we have generated arrival probabilities for each customer type by generating m_1   numbers (a_1^',a_2^',…,a_(m_1)^' ) independently from a Poisson distribution with λ=30, m_2   numbers (b_1^',b_2^',…,b_(m_2)^' ) independently from a Poisson distribution with λ=50, and m_3   numbers (c_1^',c_2^',…,c_(m_3)^' ) independently from a Poisson distribution with λ=20.
DOI: 10.17632/jtfr73m7vp.2
title: Assortment-Eskandari

description: we generate a series of random test cases to illustrate the applicability of the proposed modified augmented ε-constraint method. As this is an NP-hard problem, search space will expand by increasing the size of instance data, and the computational time will increase exponentially. For this reason, we consider instances of problems where the execution time of the proposed method does not take more than ten minutes. The test cases are generated following the presented procedure. The number of products is considered to be n∈{30,40,50} and the number of customer types is considered to be m∈{100,150,200}. We sample the revenue of each product independently from a uniform distribution over [1,100]. We divided the products into three categories as follows: 1) Inexpensive products with a price range between 1 and 40, 2) Medium price products with a price range between 41 and 80 , and 3) Expensive products with a price range between 81 and 100. We have chosen a collection of m customer’s preference lists with a maximum length of 10. It should be mentioned that each preference list represents a customer type.
	Customer types are also divided into three categories. The first category (G_1) is customers whose preference list includes only inexpensive products. The second category (G_2) is customers whose preference list consists of only medium-priced products. The third category (G_3) is customers whose preference list includes only expensive products. We consider 30%, 50%, and 20% of customers as the first, the second, and the third category. It should be noted that if the number of customers in the first category is m_1, the number of customers in the second category is m_2, and the number of customers in the third category is m_3.
Finally, we have generated arrival probabilities for each customer type by generating m_1   numbers (a_1^',a_2^',…,a_(m_1)^' ) independently from a Poisson distribution with λ=30, m_2   numbers (b_1^',b_2^',…,b_(m_2)^' ) independently from a Poisson distribution with λ=50, and m_3   numbers (c_1^',c_2^',…,c_(m_3)^' ) independently from a Poisson distribution with λ=20.
DOI: 10.17632/46sxb78vgy.1
title: Manifold-Guided Gravitational Search Algorithm Simulation Database

description: A Manifold-Guided Gravitational Search Algorithm for Large Scale Global Optimization Problems Dataset
DOI: 10.17632/46sxb78vgy.2
title: Manifold-Guided Gravitational Search Algorithm Simulation Database

description: A Manifold-Guided Gravitational Search Algorithm for Large Scale Global Optimization Problems Dataset
DOI: 10.17632/sd66sp4nnr.1
title: PICK1-deficient mice maintain their glucose tolerance during diet-induced obesity

description: Supplementary figures.
DOI: 10.17632/4k7pxjh23n.1
title: Data_Tables_Charbonnier_et_al_2023_GCA

description: Data tables of the draft from Charbonnier and others submitted to GCA
DOI: 10.21223/lym891
title: Dataset for: Monitoring of Native potato varieties in Paucartambo - Cerro de Pasco

description: In 1st Contest of Discovering the biodiversity of native potatoes in the community 52 ‘citizen scientists’ (48% female) from a highland region of Peru (Paucartambo) registered 803 records consisting of 737 unique ancestral varieties. For the monitoring of the biodiversity of native potatoes, the VarScout application was used, all the information and photos are shown through the WikiPapa platform (https://www.wikipapa.org/observaciones).
DOI: 10.21223/lym891/goesib
title: 01_Observation_Paucartambo_Pasco.tab

description: :unav
DOI: 10.5517/ccdc.csd.cc2bhjr4
title: CCDC 2159886: Experimental Crystal Structure Determination

description: Related Article: Robin Guthardt, Lisa Oetzel, Tobias Lang, Clemens Bruhn, Ulrich Siemeling|2022|Chem.-Eur.J.|28|e202200996|doi:10.1002/chem.202200996
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.cc2bhjs5
title: CCDC 2159887: Experimental Crystal Structure Determination

description: Related Article: Robin Guthardt, Lisa Oetzel, Tobias Lang, Clemens Bruhn, Ulrich Siemeling|2022|Chem.-Eur.J.|28|e202200996|doi:10.1002/chem.202200996
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.cc2bhjt6
title: CCDC 2159888: Experimental Crystal Structure Determination

description: Related Article: Robin Guthardt, Lisa Oetzel, Tobias Lang, Clemens Bruhn, Ulrich Siemeling|2022|Chem.-Eur.J.|28|e202200996|doi:10.1002/chem.202200996
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.cc2bhjw8
title: CCDC 2159890: Experimental Crystal Structure Determination

description: Related Article: Robin Guthardt, Lisa Oetzel, Tobias Lang, Clemens Bruhn, Ulrich Siemeling|2022|Chem.-Eur.J.|28|e202200996|doi:10.1002/chem.202200996
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.cc2bhjx9
title: CCDC 2159891: Experimental Crystal Structure Determination

description: Related Article: Robin Guthardt, Lisa Oetzel, Tobias Lang, Clemens Bruhn, Ulrich Siemeling|2022|Chem.-Eur.J.|28|e202200996|doi:10.1002/chem.202200996
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.cc2bhjyb
title: CCDC 2159892: Experimental Crystal Structure Determination

description: Related Article: Robin Guthardt, Lisa Oetzel, Tobias Lang, Clemens Bruhn, Ulrich Siemeling|2022|Chem.-Eur.J.|28|e202200996|doi:10.1002/chem.202200996
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.cc2bhjzc
title: CCDC 2159893: Experimental Crystal Structure Determination

description: Related Article: Robin Guthardt, Lisa Oetzel, Tobias Lang, Clemens Bruhn, Ulrich Siemeling|2022|Chem.-Eur.J.|28|e202200996|doi:10.1002/chem.202200996
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.cc2bhk0f
title: CCDC 2159894: Experimental Crystal Structure Determination

description: Related Article: Robin Guthardt, Lisa Oetzel, Tobias Lang, Clemens Bruhn, Ulrich Siemeling|2022|Chem.-Eur.J.|28|e202200996|doi:10.1002/chem.202200996
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.cc2bhk1g
title: CCDC 2159895: Experimental Crystal Structure Determination

description: Related Article: Robin Guthardt, Lisa Oetzel, Tobias Lang, Clemens Bruhn, Ulrich Siemeling|2022|Chem.-Eur.J.|28|e202200996|doi:10.1002/chem.202200996
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.cc2bj9kr
title: CCDC 2160624: Experimental Crystal Structure Determination

description: Related Article: Jie Li, Zhengsheng Qin, Yajing Sun, Yonggang Zhen, Jie Liu, Ye Zou, Chunlei Li, Xueying Lu, Lang Jiang, Xiaotao Zhang, Deyang Ji, Liqiang Li, Huanli Dong, Wenping Hu|2022|Angew.Chem.,Int.Ed.|61|e202206825|doi:10.1002/anie.202206825
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.cc2dc5hg
title: CCDC 2215275: Experimental Crystal Structure Determination

description: Related Article: Zhi Chen, Yinghao Xie, Zhanbo Li, Tao Lin|2022|Molecules|27|8761|doi:10.3390/molecules27248761
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.cc2dc5kj
title: CCDC 2215277: Experimental Crystal Structure Determination

description: Related Article: Zhi Chen, Yinghao Xie, Zhanbo Li, Tao Lin|2022|Molecules|27|8761|doi:10.3390/molecules27248761
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: 10.17632/6bvbhy3wxp.1
title: UX Journey Novice Developer

description: The UX Journey Novice Developer Dataset is a curated collection of data specifically designed for novice developers in the field of user experience (UX) design. This dataset serves as a valuable resource for individuals and organizations seeking to explore and analyze real-world UX design scenarios. The dataset includes a wide range of information related to UX design projects, encompassing various industries and design challenges. It comprises user research data, design artifacts, usability test results, user feedback, and other relevant metrics. The data is carefully anonymized and sanitized to ensure privacy and confidentiality.

The dataset is accompanied by comprehensive documentation that provides guidance on how to navigate and utilize the data effectively. It includes clear explanations of the data structure, variable definitions, and contextual information to facilitate a deeper understanding of the UX design projects represented in the dataset.
DOI: 10.17632/7k5vv22xv4.1
title: Reaction of bacterial poly-3-hydroxybutyrate with thionyl chloride in the presence of zinc chloride, and preparation of chlorine-containing oligomers

description: Poly-3-hydroxybutyrate (PHB) was subjected to degradation by thionyl chloride in the presence of zinc chloride in chloroform solution. 0.025 mol (2.15 g) of PHB calculated by a PHB monomer fragment (86 g/mol) was dissolved by heating at 50°C in 100 ml of chloroform with stirring on a magnetic stirrer. After complete dissolution, at a temperature of 50°C and strong stirring (750 rpm), 0.0025 mol (340 mg) of finely crystalline zinc chloride was added, followed by 0.1 mol (7.26 ml) of thionyl chloride. Continued heating and stirring under reflux. Samples were periodically taken by precipitating the polymer with hexane at a polymer solution to hexane volume ratio of 2:5, followed by washing and purification on a Schott filter. The experiment was carried out for 96 hours. Molecular weight for all samples was measured three times.
DOI: 10.17632/7k5vv22xv4.2
title: Reaction of bacterial poly-3-hydroxybutyrate with thionyl chloride in the presence of zinc chloride, and preparation of chlorine-containing oligomers

description: Poly-3-hydroxybutyrate (PHB) was subjected to degradation by thionyl chloride in the presence of zinc chloride in chloroform solution. 0.025 mol (2.15 g) of PHB calculated by a PHB monomer fragment (86 g/mol) was dissolved by heating at 50°C in 100 ml of chloroform with stirring on a magnetic stirrer. After complete dissolution, at a temperature of 50°C and strong stirring (750 rpm), 0.0025 mol (340 mg) of finely crystalline zinc chloride was added, followed by 0.1 mol (7.26 ml) of thionyl chloride. Continued heating and stirring under reflux. Samples were periodically taken by precipitating the polymer with hexane at a polymer solution to hexane volume ratio of 2:5, followed by washing and purification on a Schott filter. The experiment was carried out for 96 hours. Molecular weight for all samples was measured three times.
DOI: 10.17632/dr5bth77fp.1
title: Exploring the Structural relationship Between Sexual Dysfunctional Beliefs, Marital Satisfaction, and Sexual Well-Being in Iranian Women: The Role of Cognitive Schemas

description: This study aimed to investigate the relationship between sexually dysfunctional beliefs, sexual well-being, and marital satisfaction among Iranian married women. The study also explored the potential mediating role of sexual cognitive schemas. The participants were 355 Iranian married women aged 18 to 65 years who completed a battery of self-report measures to collect data. Structural equation modeling (SEM) was used to test the hypotheses, and mediation analyses were conducted to examine the indirect effects of sexual dysfunctional beliefs and sexual cognitive schemas on marital satisfaction through sexual well-being. The findings indicated that sexual dysfunctional beliefs had a negative impact on sexual well-being and marital satisfaction among Iranian married women. Sexual cognitive schemas played a mediating role in this relationship, highlighting the importance of addressing negative and unrealistic sexual beliefs and promoting positive and healthy sexual cognitive schemas for improving sexual and relational outcomes. The study sheds light on the cultural and societal factors influencing sexual attitudes and behaviors among Iranian women, highlighting the need to address these factors in interventions aimed at improving sexual and relational outcomes.