cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19727149
title: POI data of Suining County, Xuzhou City, Jiangsu Province, China

description: This is the POI and road data of Suining County, Xuzhou City, Jiangsu Province, China
DOI: 10.6084/m9.figshare.19727149.v2
title: POI data of Suining County, Xuzhou City, Jiangsu Province, China

description: This is the POI and road data of Suining County, Xuzhou City, Jiangsu Province, China
DOI: 10.6084/m9.figshare.19727149.v1
title: POI data of Suining County, Jiangsu Province

description: This is the POI and road data of Suining County, Xuzhou City, Jiangsu Province, China
DOI: 10.5281/zenodo.6513791
title: dataset of Kaggle Notebooks

description: This is a dataset of Kaggle Notebooks
DOI: 10.15468/zeu7p8
title: Global Register of Introduced and Invasive Species - Marshall Islands

description: The Global Register of Introduced and Invasive Species (GRIIS) presents validated and verified national checklists of introduced (alien) and invasive alien species at the country, territory, and associated island level. Checklists are living entities, especially for biological invasions given the growing nature of the problem. GRIIS checklists are based on a published methodology and supported by the Integrated Publishing Tool that jointly enable ongoing improvements and updates to expand their taxonomic coverage and completeness. All kingdoms of organisms occurring in all environments and systems are covered. Checklists are reviewed and verified by networks of country or species experts. Verified checklists/ species records, as well as those under review, are presented on the online GRIIS website (www.griis.org) in addition to being published through the GBIF Integrated Publishing Tool.
DOI: 10.34740/kaggle/ds/2155486
title: LLFF Dataset Full
DOI: 10.5281/zenodo.6340042
title: Gradual Enhancement of the Assemblage Stability of the Reed Rhizosphere Microbiome with Recovery Time

description: This is a supplementary material for the article of "Gradual Enhancement of the Assemblage Stability of the Reed Rhizosphere Microbiome with Recovery Time"
DOI: 10.5281/zenodo.6340041
title: Gradual Enhancement of the Assemblage Stability of the Reed Rhizosphere Microbiome with Recovery Time

description: This is a supplementary material for the article of "Gradual Enhancement of the Assemblage Stability of the Reed Rhizosphere Microbiome with Recovery Time"
DOI: 10.5517/ccdc.csd.cc28w2z7
title: CCDC 2111409: Experimental Crystal Structure Determination

description: Related Article: Harpreet Kaur, Sheshang Singh Chandel, Anirban Karmakar, Sumit Sinha-Ray, Venkata Krishnan, Rik Rani Koner|2022|Chem.Eng.Journal|443|136212|doi:10.1016/j.cej.2022.136212
DOI: 10.5517/ccdc.csd.cc291zv6
title: CCDC 2117078: Experimental Crystal Structure Determination

description: Related Article: José Aleixo de Azevedo-França, Emile Barrias, Chris Hebert Jesus Franco, Wilmer Villarreal, Eduardo Guimarães Vieira, Ana Maria Da Costa Ferreira, Wanderley de Souza, Maribel Navarro|2022|J.Inorg.Biochem.|233|111834|doi:10.1016/j.jinorgbio.2022.111834
DOI: 10.5517/ccdc.csd.cc29fw5t
title: CCDC 2128496: Experimental Crystal Structure Determination

description: Related Article: Giulio Bresciani, Stefano Zacchini, Guido Pampaloni, Fabio Marchetti|2022|Organometallics|41|1006|doi:10.1021/acs.organomet.2c00060
DOI: 10.5517/ccdc.csd.cc29fw6v
title: CCDC 2128497: Experimental Crystal Structure Determination

description: Related Article: Giulio Bresciani, Stefano Zacchini, Guido Pampaloni, Fabio Marchetti|2022|Organometallics|41|1006|doi:10.1021/acs.organomet.2c00060
DOI: 10.5517/ccdc.csd.cc29fw7w
title: CCDC 2128498: Experimental Crystal Structure Determination

description: Related Article: Giulio Bresciani, Stefano Zacchini, Guido Pampaloni, Fabio Marchetti|2022|Organometallics|41|1006|doi:10.1021/acs.organomet.2c00060
DOI: 10.5517/ccdc.csd.cc29x4zc
title: CCDC 2142223: Experimental Crystal Structure Determination

description: Related Article: Linfeng Lan, Qi Di, Liang Li, Bin Liu, Xu Yu, Panče Naumov, Hongyu Zhang|2022|Cryst.Growth Des.|22|3435|doi:10.1021/acs.cgd.2c00225
DOI: 10.5517/ccdc.csd.cc29x50f
title: CCDC 2142224: Experimental Crystal Structure Determination

description: Related Article: Linfeng Lan, Qi Di, Liang Li, Bin Liu, Xu Yu, Panče Naumov, Hongyu Zhang|2022|Cryst.Growth Des.|22|3435|doi:10.1021/acs.cgd.2c00225
DOI: 10.5517/ccdc.csd.cc29x51g
title: CCDC 2142225: Experimental Crystal Structure Determination

description: Related Article: Linfeng Lan, Qi Di, Liang Li, Bin Liu, Xu Yu, Panče Naumov, Hongyu Zhang|2022|Cryst.Growth Des.|22|3435|doi:10.1021/acs.cgd.2c00225
DOI: 10.5517/ccdc.csd.cc2b5c30
title: CCDC 2150101: Experimental Crystal Structure Determination

description: Related Article: Benita Barton, Mino R. Caira, Ulrich Senekal, Eric C. Hosten|2022|Cryst.Growth Des.|22|3385|doi:10.1021/acs.cgd.2c00204
DOI: 10.5517/ccdc.csd.cc2b5c41
title: CCDC 2150102: Experimental Crystal Structure Determination

description: Related Article: Benita Barton, Mino R. Caira, Ulrich Senekal, Eric C. Hosten|2022|Cryst.Growth Des.|22|3385|doi:10.1021/acs.cgd.2c00204
DOI: 10.5517/ccdc.csd.cc2b5jvx
title: CCDC 2150279: Experimental Crystal Structure Determination

description: Related Article: Benita Barton, Mino R. Caira, Ulrich Senekal, Eric C. Hosten|2022|Cryst.Growth Des.|22|3385|doi:10.1021/acs.cgd.2c00204
DOI: 10.5517/ccdc.csd.cc2b7p7j
title: CCDC 2152337: Experimental Crystal Structure Determination

description: Related Article: Huaxing Lin, Xuantao Deng, Yayong Sun, Shumei Chen, Tianhua Zhou|2022|J.Solid State Chem.|311|123148|doi:10.1016/j.jssc.2022.123148
DOI: 10.5517/ccdc.csd.cc2b7p8k
title: CCDC 2152338: Experimental Crystal Structure Determination

description: Related Article: Huaxing Lin, Xuantao Deng, Yayong Sun, Shumei Chen, Tianhua Zhou|2022|J.Solid State Chem.|311|123148|doi:10.1016/j.jssc.2022.123148
DOI: 10.5517/ccdc.csd.cc2b7p9l
title: CCDC 2152339: Experimental Crystal Structure Determination

description: Related Article: Huaxing Lin, Xuantao Deng, Yayong Sun, Shumei Chen, Tianhua Zhou|2022|J.Solid State Chem.|311|123148|doi:10.1016/j.jssc.2022.123148
DOI: 10.5517/ccdc.csd.cc2b7pbm
title: CCDC 2152340: Experimental Crystal Structure Determination

description: Related Article: Huaxing Lin, Xuantao Deng, Yayong Sun, Shumei Chen, Tianhua Zhou|2022|J.Solid State Chem.|311|123148|doi:10.1016/j.jssc.2022.123148
DOI: 10.5517/ccdc.csd.cc29kyxr
title: CCDC 2132425: Experimental Crystal Structure Determination

description: Related Article: Qiang-Qiang Jia, Liang Tong, Meng-Meng Lun, Da-Wei Fu, Tie Zhang, Hai-Feng Lu|2022|Cryst.Growth Des.|22|2799|doi:10.1021/acs.cgd.2c00183
DOI: 10.5517/ccdc.csd.cc29c8fd
title: CCDC 2125993: Experimental Crystal Structure Determination

description: Related Article: Qiang-Qiang Jia, Liang Tong, Meng-Meng Lun, Da-Wei Fu, Tie Zhang, Hai-Feng Lu|2022|Cryst.Growth Des.|22|2799|doi:10.1021/acs.cgd.2c00183
DOI: 10.15468/jbrsm2
title: Global Register of Introduced and Invasive Species - Namdrik Atoll, Marshall Islands

description: The Global Register of Introduced and Invasive Species (GRIIS) presents validated and verified national checklists of introduced (alien) and invasive alien species at the country, territory, and associated island level. Checklists are living entities, especially for biological invasions given the growing nature of the problem. GRIIS checklists are based on a published methodology and supported by the Integrated Publishing Tool that jointly enable ongoing improvements and updates to expand their taxonomic coverage and completeness. All kingdoms of organisms occurring in all environments and systems are covered. Checklists are reviewed and verified by networks of country or species experts. Verified checklists/ species records, as well as those under review, are presented on the online GRIIS website (www.griis.org) in addition to being published through the GBIF Integrated Publishing Tool.
DOI: 10.5281/zenodo.6526537
title: WebCheck Corpus

description: Anonymous
DOI: 10.5281/zenodo.6526536
title: WebCheck Corpus

description: Anonymous
DOI: 10.6084/m9.figshare.19727233
title: Core concept transformation algebra early evaluations

description: These are the datasets generated during the evaluation of the core concept transformation algebra. These are the results obtained when matching transformation graphs (automatically generated from workflows consisting of tools that have been annotated with expressions of our transformation algebra) to conceptual task descriptions (manually created to describe the underlying task). The tool annotations, workflows and task specifications can be found at https://github.com/quangis/cct. That repository also contains tools to reproduce these results.
DOI: 10.6084/m9.figshare.19727233.v1
title: Core concept transformation algebra early evaluations

description: These are the datasets generated during the evaluation of the core concept transformation algebra. These are the results obtained when matching transformation graphs (automatically generated from workflows consisting of tools that have been annotated with expressions of our transformation algebra) to conceptual task descriptions (manually created to describe the underlying task). The tool annotations, workflows and task specifications can be found at https://github.com/quangis/cct. That repository also contains tools to reproduce these results.
DOI: 10.5281/zenodo.6524085
title: The results of direct mappings of panama paper to RDF and RDF-star

description: In the paper 'Converting Property Graphs to RDF: A Preliminary Study of the Practical Impact of Different Mappings', we have used mappings introduced by Nguyen et al. [1], and Hartig [2]. Data sets are the results of direct mappings of the real-world LPG with data about the Panama Papers[3]. Shahrzad Khayatbashi, Sebastián Ferrada, and Olaf Hartig. 2022. Converting Property Graphs to RDF: A Preliminary Study of the Practical Impact of Different Mappings. In Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA) (GRADES & NDA’22), June 12, 2022, Philadelphia, PA, USA. ACM, New York, NY, USA, 8 pages. https://doi.org/10.1145/3534540.3534695 References: [1] Vinh Nguyen, Hong Yung Yip, Harsh Thakkar, Qingliang Li, Evan Bolton, and Olivier Bodenreider. 2019. Singleton Property Graph: Adding A Semantic Web Abstraction Layer to Graph Databases. In Proceedings of the Blockchain enabled Semantic Web Workshop (BlockSW) and Contextualized Knowledge Graphs (CKG) Workshop. [2] Olaf Hartig. 2017. Foundations of RDF* and SPARQL*: An Alternative Approach to Statement-Level Metadata in RDF. In Proceedings of the 11th Alberto Mendelzon International Workshop on Foundations of Data Management and the Web (AMW). [3] https://offshoreleaks.icij.org/pages/database
DOI: 10.5281/zenodo.6524084
title: The results of direct mappings of panama paper to RDF and RDF-star

description: In the paper 'Converting Property Graphs to RDF: A Preliminary Study of the Practical Impact of Different Mappings', we have used mappings introduced by Nguyen et al. [1], and Hartig [2]. Data sets are the results of direct mappings of the real-world LPG with data about the Panama Papers[3]. Shahrzad Khayatbashi, Sebastián Ferrada, and Olaf Hartig. 2022. Converting Property Graphs to RDF: A Preliminary Study of the Practical Impact of Different Mappings. In Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA) (GRADES & NDA’22), June 12, 2022, Philadelphia, PA, USA. ACM, New York, NY, USA, 8 pages. https://doi.org/10.1145/3534540.3534695 References: [1] Vinh Nguyen, Hong Yung Yip, Harsh Thakkar, Qingliang Li, Evan Bolton, and Olivier Bodenreider. 2019. Singleton Property Graph: Adding A Semantic Web Abstraction Layer to Graph Databases. In Proceedings of the Blockchain enabled Semantic Web Workshop (BlockSW) and Contextualized Knowledge Graphs (CKG) Workshop. [2] Olaf Hartig. 2017. Foundations of RDF* and SPARQL*: An Alternative Approach to Statement-Level Metadata in RDF. In Proceedings of the 11th Alberto Mendelzon International Workshop on Foundations of Data Management and the Web (AMW). [3] https://offshoreleaks.icij.org/pages/database
DOI: 10.5281/zenodo.6526839
title: Accipiter fasciatus SPAdes preassembly

description: .
DOI: 10.5281/zenodo.6526838
title: Accipiter fasciatus SPAdes preassembly

description: .
DOI: 10.6084/m9.figshare.19727236
title: melting temperature mapping method in children

description: This is the dataset file for Prospective Study of the Detection of Bacterial Pathogens in Pediatric Clinical Specimens Using the Melting Temperature Mapping Method in Saitama Children's Medical Center, Japan, which was used in the study on Uejima Y, et al.
DOI: 10.6084/m9.figshare.19727236.v1
title: melting temperature mapping method in children

description: This is the dataset file for Prospective Study of the Detection of Bacterial Pathogens in Pediatric Clinical Specimens Using the Melting Temperature Mapping Method in Saitama Children's Medical Center, Japan, which was used in the study on Uejima Y, et al.
DOI: 10.5281/zenodo.6526872
title: Melierax poliopterus SPAdes preassembly

description: .
DOI: 10.5281/zenodo.6526871
title: Melierax poliopterus SPAdes preassembly

description: .
DOI: 10.5281/zenodo.6526903
title: Erythroxylum cassinoides SPAdes preassembly

description: .
DOI: 10.5281/zenodo.6526902
title: Erythroxylum cassinoides SPAdes preassembly

description: .
DOI: 10.5281/zenodo.6526936
title: Amazona leucocephala SPAdes preassembly

description: .
DOI: 10.5281/zenodo.6526935
title: Amazona leucocephala SPAdes preassembly

description: .
DOI: 10.25573/data.16826779
title: (high-temp) No 5. Aplha diversity (16S rRNA/ITS) Output

description: <b>Output files from the No 5. Aplha diversity Workflow</b> page of the SWELTR high-temp study. In this workflow we used Hill numbers to assess alpha diversity across temperature treatments.<br><br><b>alpha_wf.rdata</b>: contains all variables and phyloseq objects from 16s rRNA and ITS ASV alpha diversity assessment. To see the Objects, in R run load("alpha_wf.rdata", verbose=TRUE)<br><br>Additional files:<br><br>For convenience, we also include individual phyloseq objects (collected in zip files) where Hill numbers have been added to the sample data tables.<br><br><b>ITS (its_alpha_objects.zip)</b>:<br><b>its18_ps_work.rds</b>: phyloseq object for the FULL (unfiltered) ITS data.<br><b>its18_ps_filt.rds</b>: phyloseq object for the Arbitrary filtered ITS data.<br><b>its18_ps_perfect.rds</b>: phyloseq object for the PERfect ITS data.<br><b>its18_ps_pime.rds</b>: phyloseq object for the PIME ITS data.<br><br><b>16S rRNA (ssu_alpha_objects.zip)</b>:<br><b>ssu18_ps_work.rds</b>: phyloseq object for the FULL (unfiltered) 16S rRNA data.<br><b>ssu18_ps_filt.rds</b>: phyloseq object for the Arbitrary filtered 16S rRNA data.<br><b>ssu18_ps_perfect.rds</b>: phyloseq object for the PERfect 16S rRNA data.<br><b>ssu18_ps_pime.rds</b>: phyloseq object for the PIME 16S rRNA data.<br><br>Source code for the workflow can be found here:<br>https://github.com/sweltr/high-temp/blob/master/alpha.Rmd<br><br><br>
DOI: 10.34740/kaggle/dsv/3593346
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.25573/data.16828063
title: (high-temp) No 6. Beta diversity (16S rRNA/ITS) Output

description: <b>Output files from the No 6. Beta diversity Workflow</b> page of the SWELTR high-temp study. In this workflow, we tested multiple distance metrics to assess beta diversity between temperature treatments. The workflow is split into two parts. <br><br><b>beta_wf_part_1.rdata</b>: Part 1 contains all variables and objects (for 16s rRNA and ITS) from beta dispersion calculations and significant tests. To see the Objects, in R run load("<i>beta_wf_part_1.rdata", verbose=TRUE</i>)<br><br><b>beta_wf_part_2.rdata</b>: Part 2 contains all variables and objects (for 16s rRNA and ITS) from calculating distances as well as plots for ordination, within-group variation, and between-group variation. To see the Objects, in R run load("<i>beta_wf_part_2.rdata", verbose=TRUE</i>)<br><br>Source code for the workflow can be found here:<br>https://github.com/sweltr/high-temp/blob/master/beta.Rmd<br><br><br>
DOI: 10.34740/kaggle/dsv/3593381
title: 2021 World Population (updated daily)
DOI: 10.5281/zenodo.6526985
title: Erythroxylum anguifugum SPAdes preassembly

description: .
DOI: 10.5281/zenodo.6526984
title: Erythroxylum anguifugum SPAdes preassembly

description: .
DOI: 10.34740/kaggle/dsv/3593492
title: WallStreetBets 2022
DOI: 10.5281/zenodo.6527076
title: Circaetus gallicus SPAdes preassembly

description: .
DOI: 10.5281/zenodo.6527075
title: Circaetus gallicus SPAdes preassembly

description: .
DOI: 10.34740/kaggle/dsv/3593612
title: COVID Vaccination in World (updated daily)
DOI: 10.6084/m9.figshare.19726618.v2
title: Salesforce stock data

description: This dataset contains stock price of Salesforce from 2204 to 2021. The granularity of the data is daily. Data also include stock splits and dividends. <br> This idea is ideal for testing time-series prediction models. Having stock splits and dividends info allow testing models which take into account dividend-reinvesting. <br> If you need more financial data such as Excel stock price and stock price Google Sheets, you may need to use some add-ons. This guide lists out the best methods to get Excel stock price and stock price Google Sheets. <br> For best stock research websites, check out ValueInvesting.io, the ultimate value investing platform, which provides accurate intrinsic value for worldwide stocks using DCF and WACC. <br> If you need to search efficiently across multiple SEC filings, check out AlphaResearch. With their advanced technology, you can search through SEC filings, 10 k, 10q, 8 k, 13f filings and sec form 4
DOI: 10.25573/data.16828249
title: (high-temp) No 7. Differentially Abundant ASVs & Taxa (16S rRNA/ITS) Output

description: <b>Output files from the No 7. Differentially Abundant ASVs & Taxa Workflow</b> page of the SWELTR high-temp study. In this workflow, we used the labdsv package to run Dufrene-Legendre Indicator Species Analysis and the microbiomeMarker package to run linear discriminant analysis (LDA) effect size (LEfSe) (Segata et al. 2011). We also used the microbiomeMarker package to assess the response of taxonomic lineages to soil warming.<br><br><b>da_wf.rdata</b>: Contains all variables and objects (for 16s rRNA and ITS) from Differentially Abundant ASVs & Taxa analyses. To see the Objects, in R run <i>load("da_wf.rdata", verbose=TRUE)</i><i><br></i>Additional files:<br><br>We also include all of the files (collected in zip archives) to reproduce the anvi'o figures from the paper, including profile databases, ASV dendrograms, sample dendrograms, additional layers data, additional views data, taxonomic profiles, etc.<br><br>If you have anvi'o installed, you can see an interactive verion of each figure from the paper by running the command:<br><br><b>anvi-interactive --view-data data.txt \<br> --tree asv.tre \<br> --additional-layers additional_layers.txt \<br> --profile-db profile.db \<br> --fasta-file ps_pime.fasta \<br> --manual</b><br><br>Please note, depending on when you access these data you may need to update the profile.db by running:<br><br><b>anvi-migrate profile.db --migrate-dbs-safely<br></b><br>ITS (<b>its18_pime_anvio.zip</b>)<br>16S rRNA (<b>ssu_alpha_objects.zip</b>)<br><br>Source code for the workflow can be found here:<br>https://github.com/sweltr/high-temp/blob/master/da.Rmd<br><br>
DOI: 10.25573/data.16828249.v1
title: (high-temp) No 7. Differentially Abundant ASVs & Taxa (16S rRNA/ITS) Output

description: <b>Output files from the No 7. Differentially Abundant ASVs & Taxa Workflow</b> page of the SWELTR high-temp study. In this workflow, we used the labdsv package to run Dufrene-Legendre Indicator Species Analysis and the microbiomeMarker package to run linear discriminant analysis (LDA) effect size (LEfSe) (Segata et al. 2011). We also used the microbiomeMarker package to assess the response of taxonomic lineages to soil warming.<br><br><b>da_wf.rdata</b>: Contains all variables and objects (for 16s rRNA and ITS) from Differentially Abundant ASVs & Taxa analyses. To see the Objects, in R run <i>load("da_wf.rdata", verbose=TRUE)</i><i><br></i>Additional files:<br><br>We also include all of the files (collected in zip archives) to reproduce the anvi'o figures from the paper, including profile databases, ASV dendrograms, sample dendrograms, additional layers data, additional views data, taxonomic profiles, etc.<br><br>If you have anvi'o installed, you can see an interactive verion of each figure from the paper by running the command:<br><br><b>anvi-interactive --view-data data.txt \<br> --tree asv.tre \<br> --additional-layers additional_layers.txt \<br> --profile-db profile.db \<br> --fasta-file ps_pime.fasta \<br> --manual</b><br><br>Please note, depending on when you access these data you may need to update the profile.db by running:<br><br><b>anvi-migrate profile.db --migrate-dbs-safely<br></b><br>ITS (<b>its18_pime_anvio.zip</b>)<br>16S rRNA (<b>ssu_alpha_objects.zip</b>)<br><br>Source code for the workflow can be found here:<br>https://github.com/sweltr/high-temp/blob/master/da.Rmd<br><br>
DOI: 10.25345/c59w0933s
title: MassIVE MSV000089438 - Nicotine Affects Multiple Biological Processes in EpiDermTM Organotypic Tissues and Keratinocyte Monolayers
title: The effects of nicotine at concentrations found in thirdhand smoke (THS) contaminated environments and electronic cigarette (EC) spills on a 3D human skin model (EpiDermTM).
DOI: 10.5281/zenodo.6527258
title: Map of Tigray's mineral resources (north Ethiopia) - Canadian and other international mining licences

description: In Tigray, artisanal mining of gold in the low-lying areas with outcropping Precambrian rocks is one of the major off-farm income sources. The 17<sup>th</sup> C. Portuguese traveller Barradas had already mentioned gold production in Tembien. Rural youth seasonally migrate to inhospitable lowlands and gorges such as the largely uninhabited Weri’i River valley, to search for placer gold, washed out from weathered gold-containing quartz veins within the meta-sediments and meta-volcanics. In recent decades, large-scale gold exploration and mining of gold deposits has been carried out in various parts of Tigray by local (such as the Ezana Mining Development P.L.C.) and several foreign exploration companies particularly from Canada. Recently, The Ethiopia Cable exposed links between big Canadian mining interests and a renewed PR campaign (involving Canadian professor and lobbyist Ann Fitz-Gerald) to whitewash the Ethiopian and Eritrean governments. Earlier on, it had already been suggested that one of the reasons for the Canadian government being very late in officially addressing the atrocities in the ongoing Tigray war, might be related to the country’s mining interests in Tigray. Here we contextualise Tigray’s gold and base metal resources, and present a map of active and applied mineral exploration and mining licenses in Tigray. The largest exploration license areas are concessions of Canadian companies, followed by the U.S. and the United Kingdom.
DOI: 10.5281/zenodo.6527255
title: Erythroxylum plowmanianum SPAdes preassembly

description: .
DOI: 10.5281/zenodo.6527254
title: Erythroxylum plowmanianum SPAdes preassembly

description: .
DOI: 10.6084/m9.figshare.19727380
title: Disposition effect and CRT

description: Data for the paper entitled: Cognitive reflection and the disposition effect: a lab experiment I
DOI: 10.6084/m9.figshare.19727380.v1
title: Disposition effect and CRT

description: Data for the paper entitled: Cognitive reflection and the disposition effect: a lab experiment I
DOI: 10.6084/m9.figshare.19727377
title: Data Time Dependent Wave

description: The propagation of a self-consistent electromagnetic field potential U(x,t) in a time-dependent domain, where self-consistent electromagnetic field potential $U(x,t)$ is created by the charges of two types (H+ and OH-).