cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4056406
title: CpG methylation beta values and sample age for the advanced forensic biology lesson

description: This dataset should be used for the practical of the "Advanced Forensic Biology" lesson. It has been slightly modified from the initial source (see below). It consists of two parts: <strong>1) CpG methylation beta values</strong>: tabulated separated methylation beta values in a file called cpg_methylation_beta_values.tsv. <strong>2) Samples to chronological age </strong>: the relationship between sample identifiers and their chronological age in a tabulated separated file called cpg_methylation_sample_age.tsv. <strong>3) CpG identifier to gene symbol and annotation:</strong> a tabulated separated file containing the relationship between CpG island identifier, the corresponding gene and its functional annotation. cpg_methylation_cpg_to_annotation.tsv <br> <strong>Dataset provenance:</strong> Bocklandt S, Lin W, Sehl ME, Sánchez FJ, Sinsheimer JS, Horvath S, Vilain E. Epigenetic predictor of age. PLoS One. 2011;6(6):e14821. doi: 10.1371/journal.pone.0014821. Epub 2011 Jun 22. PMID: 21731603; PMCID: PMC3120753. GEO link: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE28746
DOI: 10.5281/zenodo.4054842
title: CpG methylation beta values and sample age for the advanced forensic biology lesson

description: This dataset should be used for the practical of the "Advanced Forensic Biology" lesson. It has been slightly modified from the initial source (see below). It consists of two parts: <strong>1) CpG methylation beta values</strong>: tabulated separated methylation beta values in a file called cpg_methylation_beta_values.tsv. <strong>2) Samples to chronological age </strong>: the relationship between sample identifiers and their chronological age in a tabulated separated file called cpg_methylation_sample_age.tsv. <strong>3) CpG identifier to gene symbol and annotation:</strong> a tabulated separated file containing the relationship between CpG island identifier, the corresponding gene and its functional annotation. cpg_methylation_cpg_to_annotation.tsv <br> <strong>Dataset provenance:</strong> Bocklandt S, Lin W, Sehl ME, Sánchez FJ, Sinsheimer JS, Horvath S, Vilain E. Epigenetic predictor of age. PLoS One. 2011;6(6):e14821. doi: 10.1371/journal.pone.0014821. Epub 2011 Jun 22. PMID: 21731603; PMCID: PMC3120753. GEO link: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE28746
DOI: 10.5517/ccdc.csd.cc1qc4lt
title: CCDC 1589636: Experimental Crystal Structure Determination

description: Related Article: E. Espitia Cogollo, O. E. Piro, G. A. Echeverría, M. E. Tuttolomondo, H. Pérez, J. L. Jios, S. E. Ulic|2020|New J.Chem.|44|16006|doi:10.1039/D0NJ02914A
DOI: 10.5517/ccdc.csd.cc1qc4mv
title: CCDC 1589637: Experimental Crystal Structure Determination

description: Related Article: E. Espitia Cogollo, O. E. Piro, G. A. Echeverría, M. E. Tuttolomondo, H. Pérez, J. L. Jios, S. E. Ulic|2020|New J.Chem.|44|16006|doi:10.1039/D0NJ02914A
DOI: 10.5517/ccdc.csd.cc1qc4nw
title: CCDC 1589638: Experimental Crystal Structure Determination

description: Related Article: E. Espitia Cogollo, O. E. Piro, G. A. Echeverría, M. E. Tuttolomondo, H. Pérez, J. L. Jios, S. E. Ulic|2020|New J.Chem.|44|16006|doi:10.1039/D0NJ02914A
DOI: 10.5517/ccdc.csd.cc2199h5
title: CCDC 1885776: Experimental Crystal Structure Determination

description: Related Article: Basudeb Dutta, Sourav Ranjan Ghosh, Apurba Ray, Srikanta Jana, Chittaranjan Sinha, Sachindranath Das, Atish Dipankar Jana, Mohammad Hedayetullah Mir|2020|New J.Chem.|44|15857|doi:10.1039/D0NJ03750H
DOI: 10.5517/ccdc.csd.cc2269j4
title: CCDC 1912685: Experimental Crystal Structure Determination

description: Related Article: Basudeb Dutta, Sourav Ranjan Ghosh, Apurba Ray, Srikanta Jana, Chittaranjan Sinha, Sachindranath Das, Atish Dipankar Jana, Mohammad Hedayetullah Mir|2020|New J.Chem.|44|15857|doi:10.1039/D0NJ03750H
DOI: 10.5517/ccdc.csd.cc230l3v
title: CCDC 1936976: Experimental Crystal Structure Determination

description: Related Article: E. Espitia Cogollo, O. E. Piro, G. A. Echeverría, M. E. Tuttolomondo, H. Pérez, J. L. Jios, S. E. Ulic|2020|New J.Chem.|44|16006|doi:10.1039/D0NJ02914A
DOI: 10.5517/ccdc.csd.cc23687v
title: CCDC 1942436: Experimental Crystal Structure Determination

description: Related Article: Dengmeng Song, Xuyun Gao, Bo Li, Jun Li, Xuzhuo Sun, Chengbo Li, Jiale Zhao, Lin Chen, Ning Wang|2020|Chin.Chem.Lett.|31|2483|doi:10.1016/j.cclet.2020.01.033
DOI: 10.7910/dvn/zjouwb/nhqdps
title: over5years_khdss-1.tab

description: :unav
DOI: 10.7910/dvn/zjouwb/t99rxc
title: Additional data_Mngari et.al 2020.pdf

description: :unav
DOI: 10.7910/dvn/zjouwb/0g304w
title: over5years_khdss.tab

description: :unav
DOI: 10.7910/dvn/zjouwb/nftevt
title: post-discharge analysis_over5years.do

description: :unav
DOI: 10.6084/m9.figshare.13013270
title: JVASP-42285 to JVASP-43525

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13013270.v1
title: JVASP-42285 to JVASP-43525

description: JARVIS-DFT
DOI: 10.7910/dvn/zjouwb/az1bfz
title: STROBE_checklist_cohort_Mngari et.al 2020.pdf

description: :unav
DOI: 10.7910/dvn/zjouwb/7xj7pr
title: STROBE_checklist_cohort_Mngari et.al 2020.docx

description: :unav
DOI: 10.7910/dvn/zjouwb/x8uxw5
title: Over5years_multipleadmissions-1.tab

description: :unav
DOI: 10.7910/dvn/zjouwb/ssvyr6
title: 5older years analysis_v1.do

description: :unav
DOI: 10.7910/dvn/zjouwb/jght7d
title: over5yearschemistry-1.tab

description: :unav
DOI: 10.7910/dvn/zjouwb/vnnwpu
title: Data_Dictionary_NgariMM.pdf

description: :unav
DOI: 10.7910/dvn/zjouwb/usfgfv
title: over5yearschemistry.tab

description: :unav
DOI: 10.7910/dvn/zjouwb/qiof3k
title: Over5years_multipleadmissions.tab

description: :unav
DOI: 10.7910/dvn/zjouwb/mcyy19
title: Data_Readme_NgariMM.txt

description: :unav
DOI: 10.5066/p94wa3zd
title: Haleakala National Park bird survey data 1993-2008

description: Eight-minute point-transect distance bird surveys were collected in and around Haleakala National Park from 1993-2008. This dataset contains the location, species, and distance to detected birds, as well as identifying initials to distinguish among observers.
DOI: 10.5281/zenodo.4056480
title: RECODE_DS20_Chainlike Mesoporous SnO2 for CO2RR

description: This dataset gives information on the SnO2 catalyst prepared and optimised for CO2RR and where applicable it also gives comparison to the commercial SnO2. Some of the datasets of the results shown in article are given, and these are accompanied by the unpublished data. It contains 9 subdatasets and a reference and metadata description sheet.
DOI: 10.5281/zenodo.4056479
title: RECODE_DS20_Chainlike Mesoporous SnO2 for CO2RR

description: This dataset gives information on the SnO2 catalyst prepared and optimised for CO2RR and where applicable it also gives comparison to the commercial SnO2. Some of the datasets of the results shown in article are given, and these are accompanied by the unpublished data. It contains 9 subdatasets and a reference and metadata description sheet.
DOI: 10.21227/gapg-9850
title: Small Business Cyber(Web) Security 2020-2021

description: Cyber attacks are a growing concern for small businesses during COVID-19 . Be Protected While You Work. Upgrade Your Small Business's Virus Protection Today! Before going for a Cyber security solutions for small to mid-sized businesses deliver enterprise-level protection.Download this (Checklist for a Small Firm's Cybersecurity Program 2020-2021) data set to deploy secure functioning of various aspects of your small business including, employee data, website and more.This checklist is provided to assist small member firms with limited resources to establish a cybersecurity program to identify and assess cybersecurity threats, - protect assets from cyber intrusions, - detect when their systems and assets have been compromised, - plan for the response when a compromise occurs and implement a plan to recover lost, stolen or unavailable assets. -Train employees in security principles. - Protect information, computers, and networks from malware attacks. - Provide firewall security for your Internet connection. - Create a mobile device action plan. - Make backup copies of important business data and information. - Learn about the threats and how to protect your website. - Protect Your Small Business site. - Learn the basics for protecting your business web sites from cyber attacks at WP Hacked Help BlogKeywords: cyber security, wordpress security, websecurity, technology, smallbusiness, websites, secure, data, wphackedhelp
DOI: 10.21227/9an0-3z46
title: Small Business Cyber(Web) Security 2020-2021

description: Cyber attacks are a growing concern for small businesses during COVID-19 . Be Protected While You Work. Upgrade Your Small Business's Virus Protection Today! Before going for a Cyber security solutions for small to mid-sized businesses deliver enterprise-level protection.Download this (Checklist for a Small Firm's Cybersecurity Program 2020-2021) data set to deploy secure functioning of various aspects of your small business including, employee data, website and more.This checklist is provided to assist small member firms with limited resources to establish a cybersecurity program to identify and assess cybersecurity threats, - protect assets from cyber intrusions, - detect when their systems and assets have been compromised, - plan for the response when a compromise occurs and implement a plan to recover lost, stolen or unavailable assets. -Train employees in security principles. - Protect information, computers, and networks from malware attacks. - Provide firewall security for your Internet connection. - Create a mobile device action plan. - Make backup copies of important business data and information. - Learn about the threats and how to protect your website. - Protect Your Small Business site. - Learn the basics for protecting your business web sites from cyber attacks at WP Hacked Help BlogKeywords: cyber security, wordpress security, websecurity, technology, smallbusiness, websites, secure, data, wphackedhelp
DOI: 10.26208/f6q0-8p03
title: Output and Data from Semi-Analytic Functions to Calculate the Deposition Coefficients for Ice Crystal Vapor Growth in Bin and Bulk Microphysical Models.

description: This data set comprises fitting coefficients needed to calculate supersaturation-dependent deposition coefficients, along with output from model simulations. The coefficients are used in semi-analytic functions that allows fast and accurate calculations of the surface supersaturations needed for the deposition coefficients. Output are provided for test simulations that reveal the accuracy of the approximate calculations for individual crystals. Model output are also provided from test simulations using Eulerian bin and bulk cloud microphysical schemes.
DOI: 10.5281/zenodo.4056037
title: GROMACS simulations of unfolding of ubiqutin in a strong electric field

description: The simulations were performed in GROMACS 4.6.7. The dataset contains binary run input files (.tpr) and simulated trajectory files (.trr). Here are 100 statistically independent runs for the field values: E = 3e4 V/nm, E = 5e4 V/nm, E = 7e4 V/nm, E = 11e4 V/nm. The names of files denote the value of the electric field in [V/nm] and the number of independent runs.
DOI: 10.5281/zenodo.4056036
title: GROMACS simulations of unfolding of ubiqutin in a strong electric field

description: The simulations were performed in GROMACS 4.6.7. The dataset contains binary run input files (.tpr) and simulated trajectory files (.trr). Here are 100 statistically independent runs for the field values: E = 3e4 V/nm, E = 5e4 V/nm, E = 7e4 V/nm, E = 11e4 V/nm. The names of files denote the value of the electric field in [V/nm] and the number of independent runs.
DOI: 10.25387/g3.12108063.v1
title: Supplemental Material for Ta et al., 2020

description: File S1 contains the transformed and standardized phenotype data. File S2 contains the posterior means for the genotype and GxE random effects used for QTL mapping. File S3 contains the markers used for the GridLMM analysis. File S4 contains the genotype file used for the GEMMA analysis. File S5 contains the phenotypes (bolting day shade responses) used for the GEMMA analysis. File S6 contains the family covariate used for the GEMMA analysis. File S7 contains the SNP annotation file used for the GEMMA analysis. File S8 contains the genotype file used for the TASSEL analysis. File S9 contains the phenotypes (bolting day shade responses) and family covariate data used for the TASSEL analysis. File S10 contains the phenotype and genotype information used for the QTL IciMapping analysis. File S11 contains the trait data in sun/shade conditions used for path analysis. File S12 - Contains the equations for the QTL-path scans and the lavaan equations, as well as a brief example of the estimation of direct and indirect QTL effects. Supplementary Material R1 contains Figures S1-S3. Table S1 contains the names of about 100 natural accessions grown in addition to the NAM population. Table S2 contains the 95% credible intervals for the shelf fixed effects, G-PVE, and GxE-PVE. Table S3 contains the significant markers detected for the bolting day shade response BLUPs using TASSEL. Table S4 contains the summary statistics from the fitted Bayesian mixed models. Table S5 contains the trait effects - estimated from the path models - for the different populations in the sun condition. Table S6 contains the trait effects - estimated from the path models - for the different populations in the shade condition. Table S7 contains the QTL found for the genotype random effects using GridLMM.
DOI: 10.25387/g3.12108063
title: Supplemental Material for Ta et al., 2020

description: File S1 contains the transformed and standardized phenotype data. File S2 contains the posterior means for the genotype and GxE random effects used for QTL mapping. File S3 contains the markers used for the GridLMM analysis. File S4 contains the genotype file used for the GEMMA analysis. File S5 contains the phenotypes (bolting day shade responses) used for the GEMMA analysis. File S6 contains the family covariate used for the GEMMA analysis. File S7 contains the SNP annotation file used for the GEMMA analysis. File S8 contains the genotype file used for the TASSEL analysis. File S9 contains the phenotypes (bolting day shade responses) and family covariate data used for the TASSEL analysis. File S10 contains the phenotype and genotype information used for the QTL IciMapping analysis. File S11 contains the trait data in sun/shade conditions used for path analysis. File S12 - Contains the equations for the QTL-path scans and the lavaan equations, as well as a brief example of the estimation of direct and indirect QTL effects. Supplementary Material R1 contains Figures S1-S3. Table S1 contains the names of about 100 natural accessions grown in addition to the NAM population. Table S2 contains the 95% credible intervals for the shelf fixed effects, G-PVE, and GxE-PVE. Table S3 contains the significant markers detected for the bolting day shade response BLUPs using TASSEL. Table S4 contains the summary statistics from the fitted Bayesian mixed models. Table S5 contains the trait effects - estimated from the path models - for the different populations in the sun condition. Table S6 contains the trait effects - estimated from the path models - for the different populations in the shade condition. Table S7 contains the QTL found for the genotype random effects using GridLMM.
DOI: 10.26300/2q8p-wb51
title: CRISM reflectance and geometry files processed with new methods described and used in “Updated Perspectives and Hypotheses on the Mineralogy of Lower Mt. Sharp, Mars, as Seen from Orbit”
DOI: 10.6084/m9.figshare.13014245
title: ProvProvider

description: Descripcion de los datos<br>
DOI: 10.6084/m9.figshare.13013267
title: JVASP-41549 to JVASP-42284

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.12801215
title: A Software Maintainability Dataset

description: This dataset contains 304 manual evaluations of class-level software maintainability. It can be used to develop and evaluate automated quality prediction tools.<br>This archive was created along the work described in detail in<em>M. Schnappinger, A. Fietzke, and A. Pretschner, "</em><i>Defining a Software Maintainability Dataset: Collecting, Aggregating and Analysing Expert Evaluations of Software Maintainability</i><em>", International Conference on Software Maintenance and Evolution (ICSME), 2020</em><em><br></em>If you use this dataset in your research, please cite both this dataset and the corresponding paper. This archive containsA readme with all relevant information aboutStudy objectsLabel definitionThreats to validityHints for using the datasetList of metrics used to prioritize the samplesThe code of the study objectsA .csv file containing the readability, understandability, complexity, adequate size, and overall maintainability labelsThe original publicationFigshare uses a strict character limit for this description. Please refer to the `Readme.md` for further information.<br>
DOI: 10.6084/m9.figshare.12801215.v2
title: A Software Maintainability Dataset

description: This dataset contains 304 manual evaluations of class-level software maintainability. It can be used to develop and evaluate automated quality prediction tools.<br>This archive was created along the work described in detail in<em>M. Schnappinger, A. Fietzke, and A. Pretschner, "</em><i>Defining a Software Maintainability Dataset: Collecting, Aggregating and Analysing Expert Evaluations of Software Maintainability</i><em>", International Conference on Software Maintenance and Evolution (ICSME), 2020</em><em><br></em>If you use this dataset in your research, please cite both this dataset and the corresponding paper. This archive containsA readme with all relevant information aboutStudy objectsLabel definitionThreats to validityHints for using the datasetList of metrics used to prioritize the samplesThe code of the study objectsA .csv file containing the readability, understandability, complexity, adequate size, and overall maintainability labelsFigshare uses a strict character limit for this description. Please refer to the `Readme.md` for further information.<br>
DOI: 10.5281/zenodo.4056544
title: Data files for isochrones.py tests

description: This should really just be used for testing
DOI: 10.5281/zenodo.4056543
title: Data files for isochrones.py tests

description: This should really just be used for testing
DOI: 10.6084/m9.figshare.13014230
title: Wheat and Car Dataset with Rotated Bounding Box Annotations

description: There are two datasets (Wheat and Car) with rotated bounding box annotations. The car dataset has 150 images and the images are sampled from the CARPK dataset. The wheat dataset has 776 images and the images are selected from four sources (usask_1, rres_1, inrae_1, ethz_1) of the GWHD dataset.
DOI: 10.25387/g3.11954496.v1
title: Supplemental Material for Ramachandran et al., 2020

description: Supplemental Table 1: NCBI SRA accession and voucher information on genome sequences used in this study.
DOI: 10.25387/g3.11954496
title: Supplemental Material for Ramachandran et al., 2020

description: Supplemental Table 1: NCBI SRA accession and voucher information on genome sequences used in this study.
DOI: 10.5517/ccdc.csd.cc1zg30k
title: CCDC 1830798: Experimental Crystal Structure Determination

description: Related Article: Samraj Mollick, Soumya Mukherjee, Dongwook Kim, Qiao Zhiwei, Aamod V. Desai, Rajat Saha, Yogeshwar D. More, Jianwen Jiang, Myoung Soo Lah, Sujit K. Ghosh|2019|Angew.Chem.,Int.Ed.|58|1041|doi:10.1002/anie.201811037
DOI: 10.5517/ccdc.csd.cc1zg31l
title: CCDC 1830799: Experimental Crystal Structure Determination

description: Related Article: Samraj Mollick, Soumya Mukherjee, Dongwook Kim, Qiao Zhiwei, Aamod V. Desai, Rajat Saha, Yogeshwar D. More, Jianwen Jiang, Myoung Soo Lah, Sujit K. Ghosh|2019|Angew.Chem.,Int.Ed.|58|1041|doi:10.1002/anie.201811037
DOI: 10.5517/ccdc.csd.cc1zg32m
title: CCDC 1830800: Experimental Crystal Structure Determination

description: Related Article: Samraj Mollick, Soumya Mukherjee, Dongwook Kim, Qiao Zhiwei, Aamod V. Desai, Rajat Saha, Yogeshwar D. More, Jianwen Jiang, Myoung Soo Lah, Sujit K. Ghosh|2019|Angew.Chem.,Int.Ed.|58|1041|doi:10.1002/anie.201811037
DOI: 10.5517/ccdc.csd.cc1zp6ql
title: CCDC 1837640: Experimental Crystal Structure Determination

description: Related Article: Xiaohu Zhao, Haiyan Xu, Xiaolei Huang, Jianrong Steve Zhou|2019|Angew.Chem.,Int.Ed.|58|292|doi:10.1002/anie.201809930
DOI: 10.5517/ccdc.csd.cc1zpjfm
title: CCDC 1837941: Experimental Crystal Structure Determination

description: Related Article: Xiaohu Zhao, Haiyan Xu, Xiaolei Huang, Jianrong Steve Zhou|2019|Angew.Chem.,Int.Ed.|58|292|doi:10.1002/anie.201809930
DOI: 10.5517/ccdc.csd.cc1zttvg
title: CCDC 1842077: Experimental Crystal Structure Determination

description: Related Article: Thalappil Pradeep, Bodiuzzaman Mohammad, Atanu Ghosh, Korath Shivan Sugi, Abhijit Nag,  Esma Khatun,  Babu Varghese, Ganesan Paramasivam,  Sudhadevi Antharjanam,  Ganapati Natarajan |2019|Angew.Chem.,Int.Ed.|58|189|doi:10.1002/anie.201809469
DOI: 10.5517/ccdc.csd.cc1zjy0g
title: CCDC 1833526: Experimental Crystal Structure Determination

description: Related Article: Samraj Mollick, Soumya Mukherjee, Dongwook Kim, Qiao Zhiwei, Aamod V. Desai, Rajat Saha, Yogeshwar D. More, Jianwen Jiang, Myoung Soo Lah, Sujit K. Ghosh|2019|Angew.Chem.,Int.Ed.|58|1041|doi:10.1002/anie.201811037
DOI: 10.5517/ccdc.csd.cc20434f
title: CCDC 1850983: Experimental Crystal Structure Determination

description: Related Article: Xiaohu Zhao, Haiyan Xu, Xiaolei Huang, Jianrong Steve Zhou|2019|Angew.Chem.,Int.Ed.|58|292|doi:10.1002/anie.201809930
DOI: 10.5517/ccdc.csd.cc20b0ky
title: CCDC 1856669: Experimental Crystal Structure Determination

description: Related Article: Xingbang Hu, Tianxiang Zhao|2019|Angew.Chem.,Int.Ed.|58|722|doi:10.1002/anie.201809634
DOI: 10.5517/ccdc.csd.cc20bwbl
title: CCDC 1857499: Experimental Crystal Structure Determination

description: Related Article: Xuan Ding, Chun-Lin Dong, Zhi Guan, Yan-Hong He|2019|Angew.Chem.,Int.Ed.|58|118|doi:10.1002/anie.201811085
DOI: 10.5517/ccdc.csd.cc20bwhr
title: CCDC 1857504: Experimental Crystal Structure Determination

description: Related Article: Xuan Ding, Chun-Lin Dong, Zhi Guan, Yan-Hong He|2019|Angew.Chem.,Int.Ed.|58|118|doi:10.1002/anie.201811085
DOI: 10.5517/ccdc.csd.cc20fg97
title: CCDC 1859978: Experimental Crystal Structure Determination

description: Related Article: Kyle A. Mandla, Curtis E. Moore, Arnold L. Rheingold, Joshua S. Figueroa|2019|Angew.Chem.,Int.Ed.|58|1779|doi:10.1002/anie.201809042
DOI: 10.5517/ccdc.csd.cc20fgb8
title: CCDC 1859979: Experimental Crystal Structure Determination

description: Related Article: Kyle A. Mandla, Curtis E. Moore, Arnold L. Rheingold, Joshua S. Figueroa|2019|Angew.Chem.,Int.Ed.|58|1779|doi:10.1002/anie.201809042
DOI: 10.5517/ccdc.csd.cc20fgc9
title: CCDC 1859980: Experimental Crystal Structure Determination

description: Related Article: Kyle A. Mandla, Curtis E. Moore, Arnold L. Rheingold, Joshua S. Figueroa|2019|Angew.Chem.,Int.Ed.|58|1779|doi:10.1002/anie.201809042
DOI: 10.5517/ccdc.csd.cc20g2q9
title: CCDC 1860580: Experimental Crystal Structure Determination

description: Related Article: Rajkumar Misra, Abhijith Saseendran, Sanjit Dey, Hosahudya Gopi|2019|Angew.Chem.,Int.Ed.|58|2251|doi:10.1002/anie.201810849
DOI: 10.5517/ccdc.csd.cc20g2rb
title: CCDC 1860581: Experimental Crystal Structure Determination

description: Related Article: Rajkumar Misra, Abhijith Saseendran, Sanjit Dey, Hosahudya Gopi|2019|Angew.Chem.,Int.Ed.|58|2251|doi:10.1002/anie.201810849
DOI: 10.5281/zenodo.4056585
title: Database neuroenhancement among university students

description: Study about neuroenhancement among university students in France and Romania
DOI: 10.5281/zenodo.4056584
title: Database neuroenhancement among university students

description: Study about neuroenhancement among university students in France and Romania