cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.1144100
title: Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics

description: Loghub datasets published in ISSRE 2023. See more details at https://github.com/logpai/loghub

License: The datasets are freely available for research or academic work, subject to the following condition: For any usage or distribution of the loghub datasets, please refer to the loghub repository URL (https://github.com/logpai/loghub) and cite the loghub paper (Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics) where applicable.

The above license notice shall be included in all copies of the datasets.
DOI: 10.5281/zenodo.8196385
title: Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics

description: Loghub datasets published in ISSRE 2023. See more details at https://github.com/logpai/loghub

License: The datasets are freely available for research or academic work, subject to the following condition: For any usage or distribution of the loghub datasets, please refer to the loghub repository URL (https://github.com/logpai/loghub) and cite the loghub paper (Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics) where applicable.

The above license notice shall be included in all copies of the datasets.
DOI: 10.34740/kaggle/dsv/7498005
title: CKD & its health-related factors C- control study
DOI: 10.34740/kaggle/dsv/7498168
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.34740/kaggle/dsv/7498190
title: CKD & its health-related factors C- control study
DOI: 10.5281/zenodo.10571940
title: The Chemoiton Files - Case 001

description: *In the first version was a minor error, this is fixed with version 2"

The Chemotion Files will be a series of datasets that can be used to get to know the electronic lab notebook Chemotion ELN. This is the first lesson in the series. With these dataset people can get familiar with some of the features of the electronic lab notebook in a mystery, escape-room-like style "game".

How to use The Chemotion Files:

Download the .zip file and go to the Chemotion ELN Demo hosted by the KIT (https://demo.chemotion.ibcs.kit.edu/home), this is the official demo version of the electronic lab notebook. If it is your first time there, then you need to sign up. After signing up you can directly log into the electronic lab notebook and upload the .zip with "import collection". After the import is finished, you will see one new collection in the ELN called "The_Chemotion_Files" with a sub folder called Case_001-Hidden Sample. Now you can start an try to solve the mystery of the Hidden sample. 

You can check the following video for details on how to "play" The Chemotion Files - Case 001":

https://www.youtube.com/watch?v=nJkigRQZ6E8

The dataset was tested with the Chemotion ELN version v1.8.1
DOI: 10.5281/zenodo.10571941
title: The Chemoiton Files - Case 001

description: The Chemotion Files will be a series of datasets that can be used to get to know the electronic lab notebook Chemotion ELN. This is the first lesson in the series. With these dataset people can get familiar with some of the features of the electronic lab notebook in a mystery, escape-room-like style "game".

How to use The Chemotion Files:

Download the .zip file and go to the Chemotion ELN Demo hosted by the KIT (https://demo.chemotion.ibcs.kit.edu/home), this is the official demo version of the electronic lab notebook. If it is your first time there, then you need to sign up. After signing up you can directly log into the electronic lab notebook and upload the .zip with "import collection". After the import is finished, you will see one new collection in the ELN called "The_Chemotion_Files" with a sub folder called Case_001-Hidden Sample. Now you can start an try to solve the mystery of the Hidden sample. 

You can check the following video for details on how to "play" The Chemotion Files - Case 001":

https://www.youtube.com/watch?v=nJkigRQZ6E8

The dataset was tested with the Chemotion ELN version v1.8.1
DOI: 10.5281/zenodo.10577628
title: The Chemoiton Files - Case 001

description: *In the first version was a minor error, this is fixed with version 2"

The Chemotion Files will be a series of datasets that can be used to get to know the electronic lab notebook Chemotion ELN. This is the first lesson in the series. With these dataset people can get familiar with some of the features of the electronic lab notebook in a mystery, escape-room-like style "game".

How to use The Chemotion Files:

Download the .zip file and go to the Chemotion ELN Demo hosted by the KIT (https://demo.chemotion.ibcs.kit.edu/home), this is the official demo version of the electronic lab notebook. If it is your first time there, then you need to sign up. After signing up you can directly log into the electronic lab notebook and upload the .zip with "import collection". After the import is finished, you will see one new collection in the ELN called "The_Chemotion_Files" with a sub folder called Case_001-Hidden Sample. Now you can start an try to solve the mystery of the Hidden sample. 

You can check the following video for details on how to "play" The Chemotion Files - Case 001":

https://www.youtube.com/watch?v=nJkigRQZ6E8

The dataset was tested with the Chemotion ELN version v1.8.1
DOI: 10.5281/zenodo.10577602
title: Rotifer species have positive responses in abundance caused by the increase in nitrogen, phosphorus and chlorophyll-a in reservoirs using Threshold Indicator Rate Analysis
title: Rotifer response to N, P, and chlorophyll-a in reservoirs using TITAN

description: Certain zooplanktonic species show fluctuations in abundance corresponding to increased primary productivity in freshwater lentic ecosystems. The objectives of this study were i) to evaluate the concentration thresholds of eutrophication-related variables (nitrogen, phosphorus, and chlorophyll-a) that influence the frequency and relative abundance of rotifer species, and ii) to identify rotifer species that are positively or negatively associated with these variables. The rotifer structure was investigated in fifteen La Plata River Basin reservoirs, the second-largest in South America. Abundance was correlated with nitrogen, phosphorus, and chlorophyll-a using Threshold Indicator Rate Analysis (TITAN). A total of seventy-one rotifer species were found, with six identified as indicators for alterations in occurrence and relative abundance, exhibiting threshold values of 1.118 µg.L-1, 22.44 µg.L-1 and 3.89 µg.L-1 for nitrogen, phosphorus, and chlorophyll-a concentrations, respectively. Keratella tropica, Plationus patulus, Filinia terminalis, and Synchaeta oblonga demonstrated positive responses to nutrient increase, whereas Conochilus unicornis and Synchaeta stylata exhibited negative responses, indicative of oligotrophic reservoirs. Keratella tropica consistently responded similarly across all variable concentrations, highlighting its ubiquity in South America. These results reinforce the utility of rotifer species as reliable indicators for trophic level-related variables in reservoirs.

 

This study was supported by: FAPESP #2008/02015-7 and #2009/00014-6; CAPES #88882.180513/2018-01; and CNPq #141323/2018-3.
DOI: 10.5281/zenodo.10577649
title: Codelist for PD and Anxiety Study
DOI: 10.5281/zenodo.10577650
title: Codelist for PD and Anxiety Study
DOI: 10.5281/zenodo.10577639
title: SrNiIrO6 files for Galaxy tutorial for finding the µ+ stopping site

description: CASTEP strucutral file for loading into Galaxy to find the muon stopping site in SrNiIrO6
DOI: 10.5281/zenodo.10577640
title: SrNiIrO6 files for Galaxy tutorial for finding the µ+ stopping site

description: CASTEP strucutral file for loading into Galaxy to find the muon stopping site in SrNiIrO6
DOI: 10.6084/m9.figshare.25097459
title: Fintech efficiency and influencing factors of proposed listing bank --- Supporting information

description: 金融科技改变了银行业的竞争。本研究考察了2018年至2021年中国33家拟上市银行的效率，发现国有银行普遍表现出更高的运营效率和金融科技指数。该研究还确定了金融科技指数、市场力量变量和银行效率之间的显着相关性。
DOI: 10.6084/m9.figshare.25097459.v1
title: Fintech efficiency and influencing factors of proposed listing bank --- Supporting information

description: 金融科技改变了银行业的竞争。本研究考察了2018年至2021年中国33家拟上市银行的效率，发现国有银行普遍表现出更高的运营效率和金融科技指数。该研究还确定了金融科技指数、市场力量变量和银行效率之间的显着相关性。
DOI: 10.34740/kaggle/dsv/7498475
title: COVID Vaccination in World (updated daily)
DOI: 10.25345/c5n29pj0z
title: MassIVE MSV000093943 - GNPS-OldEAdata-and-B61615data-and-COMPOUNDS-COMBINATION-20240128
title: Using molecular network technology, we are committed to de-duplicating the characteristic ingredient limonin in the oxen plant and accurately and quickly discovering the components of this ingredient. In order to accurately guide the composition of such compounds with novel structures.
DOI: 10.5281/zenodo.10577669
title: Phenanthrene biodegradation and metabolic process under oxygen deficiency associated with the potential of CO2-emission-reduction by Pseudomonas stutzeri YWX-1

description: Original data for the study: Wei, et al. Phenanthrene biodegradation and metabolic process under oxygen deficiency associated with the potential of CO2-emission-reduction by Pseudomonas stutzeri YWX-1 (in preparation)

The dataset primarily consists of legacy data which was not shown in the supporting information, including the growth of strain YWX-1, phenanthrene biodegradation, and the transformation of exogenous terminal electron acceptors, in anoxic phenanthrene-contaminated environments.

Three sheets are included in an Excel file named "Open data for Anoxic PHE biodegradation and metabolic process by strain YWX-1.xlsx" as follows:

1. Figure 1.Biodegradation of PHE

2. Figure 1.Growth of strain YWX-1

3. Figure 2.Transformation of TEAs
DOI: 10.5281/zenodo.10577670
title: Phenanthrene biodegradation and metabolic process under oxygen deficiency associated with the potential of CO2-emission-reduction by Pseudomonas stutzeri YWX-1

description: Original data for the study: Wei, et al. Phenanthrene biodegradation and metabolic process under oxygen deficiency associated with the potential of CO2-emission-reduction by Pseudomonas stutzeri YWX-1 (in preparation)

The dataset primarily consists of legacy data which was not shown in the supporting information, including the growth of strain YWX-1, phenanthrene biodegradation, and the transformation of exogenous terminal electron acceptors, in anoxic phenanthrene-contaminated environments.

Three sheets are included in an Excel file named "Open data for Anoxic PHE biodegradation and metabolic process by strain YWX-1.xlsx" as follows:

1. Figure 1.Biodegradation of PHE

2. Figure 1.Growth of strain YWX-1

3. Figure 2.Transformation of TEAs
DOI: 10.5281/zenodo.10051198
title: Survey: CITIZEN SCIENCE TECHNOLOGIES - How can we harness and improve the use of technologies in citizen science?

description: Responses to the survey CITIZEN SCIENCE TECHNOLOGIES - How can we harness and improve the use of technologies in citizen science?

This data is connected to the paper Sheard et al. (in review) Emerging technologies in citizen science and potential for insect monitoring. Philosophical Transactions B
DOI: 10.5281/zenodo.10051199
title: Survey: CITIZEN SCIENCE TECHNOLOGIES - How can we harness and improve the use of technologies in citizen science?

description: Responses to the survey CITIZEN SCIENCE TECHNOLOGIES - How can we harness and improve the use of technologies in citizen science?

This data is connected to the paper Sheard et al. (in review) Emerging technologies in citizen science and potential for insect monitoring. Philosophical Transactions B
DOI: 10.34740/kaggle/dsv/7477813
title: Ghana National Science & Math Quiz Performance
DOI: 10.5281/zenodo.10575252
title: Tool for Automated Repair of Information Flow Security in Android Implicit Inter-App Communication

description: This Repo contains artifacts for the paper submitted in ECOOP: Automated Repair of Information Flow Security in Android Implicit Inter-App Communication
DOI: 10.5281/zenodo.10575226
title: Tool for Automated Repair of Information Flow Security in Android Implicit Inter-App Communication

description: This Repo contains artifacts for the paper submitted in ECOOP: Automated Repair of Information Flow Security in Android Implicit Inter-App Communication
DOI: 10.5281/zenodo.10575227
title: Tool for Automated Repair of Information Flow Security in Android Implicit Inter-App Communication

description: This Repo contains artifacts for the paper submitted in ECOOP: Automated Repair of Information Flow Security in Android Implicit Inter-App Communication
DOI: 10.5281/zenodo.10575236
title: Tool for Automated Repair of Information Flow Security in Android Implicit Inter-App Communication

description: This Repo contains artifacts for the paper submitted in ECOOP: Automated Repair of Information Flow Security in Android Implicit Inter-App Communication
DOI: 10.5281/zenodo.10576985
title: Tool for Automated Repair of Information Flow Security in Android Implicit Inter-App Communication

description: This Repo contains artifacts for the paper submitted in ECOOP: Automated Repair of Information Flow Security in Android Implicit Inter-App Communication
DOI: 10.5281/zenodo.10577677
title: Tool for Automated Repair of Information Flow Security in Android Implicit Inter-App Communication

description: This Repo contains artifacts for the paper submitted in ECOOP: Automated Repair of Information Flow Security in Android Implicit Inter-App Communication
DOI: 10.5281/zenodo.10577761
title: Tool for Automated Repair of Information Flow Security in Android Implicit Inter-App Communication

description: This Repo contains artifacts for the paper submitted in ECOOP: Automated Repair of Information Flow Security in Android Implicit Inter-App Communication
DOI: 10.5281/zenodo.10577739
title: 20 Varibales for 40 Years of Panel Data FDI FD GDP
DOI: 10.5281/zenodo.10577740
title: 20 Varibales for 40 Years of Panel Data FDI FD GDP
DOI: 10.5281/zenodo.10577579
title: AfriConEU Digital Innovation Ecosystem Dataset

description: This dataset serves as a comprehensive resource capturing the activities and events conducted under the AfriConEU initiative, contributing as a valuable tool and secondary data source for those interested in studying the digital innovation ecosystem, particularly in Africa and Europe.

Purpose: This dataset aims to facilitate research and analysis of the digital innovation landscape by providing a wealth of data on event participation, pre-event baselines, and post-event evaluations. Researchers, policymakers, and stakeholders interested in the AfriConEU project and digital innovation ecosystems can utilise this dataset for a deeper understanding of the subject matter.

Contents:





Complete Registration and Attendance Data:



Records of participation in all AfriConEU events, with missing values coded as 99.





Pre-Evaluation Data:



Baseline measurements obtained from pre-event evaluations.





Evaluation Data for Capacity-Building Events:




Evaluation Data from AfriConEU Brokerage Event:



Separate datasets for each panel, along with an overall evaluation dataset.





Evaluation Data for Design-Thinking Bootcamps:




Follow-Up Surveys:



Nine datasets capturing post-event feedback and insights.





Capitalisation Event Evaluation Data:



Records assessing the outcomes of the Capitalisation and Celebration event.





PTH Conference Evaluation Data:



Data pertaining to the evaluation of the PTH Conference.




Data Processing and Anonymisation: All data included in this dataset have been meticulously treated and anonymized to comply with the General Data Protection Regulation (GDPR) guidelines.
DOI: 10.5281/zenodo.10577580
title: AfriConEU -  AfriConEU Digital Innovation Ecosystem Dataset

description: This dataset serves as a comprehensive resource capturing the activities and events conducted under the AfriConEU initiative, contributing as a valuable tool and secondary data source for those interested in studying the digital innovation ecosystem, particularly in Africa and Europe.

Purpose: This dataset aims to facilitate research and analysis of the digital innovation landscape by providing a wealth of data on event participation, pre-event baselines, and post-event evaluations. Researchers, policymakers, and stakeholders interested in the AfriConEU project and digital innovation ecosystems can utilise this dataset for a deeper understanding of the subject matter.

Contents:





Complete Registration and Attendance Data:



Records of participation in all AfriConEU events, with missing values coded as 99.





Pre-Evaluation Data:



Baseline measurements obtained from pre-event evaluations.





Evaluation Data for Capacity-Building Events:




Evaluation Data from AfriConEU Brokerage Event:



Separate datasets for each panel, along with an overall evaluation dataset.





Evaluation Data for Design-Thinking Bootcamps:




Follow-Up Surveys:



Nine datasets capturing post-event feedback and insights.





Capitalisation Event Evaluation Data:



Records assessing the outcomes of the Capitalisation and Celebration event.





PTH Conference Evaluation Data:



Data pertaining to the evaluation of the PTH Conference.




Data Processing and Anonymisation: All data included in this dataset have been meticulously treated and anonymized to comply with the General Data Protection Regulation (GDPR) guidelines.
DOI: 10.5281/zenodo.10577611
title: AfriConEU Digital Innovation Ecosystem Dataset

description: This dataset serves as a comprehensive resource capturing the activities and events conducted under the AfriConEU initiative, contributing as a valuable tool and secondary data source for those interested in studying the digital innovation ecosystem, particularly in Africa and Europe.

Purpose: This dataset aims to facilitate research and analysis of the digital innovation landscape by providing a wealth of data on event participation, pre-event baselines, and post-event evaluations. Researchers, policymakers, and stakeholders interested in the AfriConEU project and digital innovation ecosystems can utilise this dataset for a deeper understanding of the subject matter.

Contents:





Complete Registration and Attendance Data:



Records of participation in all AfriConEU events, with missing values coded as 99.





Pre-Evaluation Data:



Baseline measurements obtained from pre-event evaluations.





Evaluation Data for Capacity-Building Events:




Evaluation Data from AfriConEU Brokerage Event:



Separate datasets for each panel, along with an overall evaluation dataset.





Evaluation Data for Design-Thinking Bootcamps:




Follow-Up Surveys:



Nine datasets capturing post-event feedback and insights.





Capitalisation Event Evaluation Data:



Records assessing the outcomes of the Capitalisation and Celebration event.





PTH Conference Evaluation Data:



Data pertaining to the evaluation of the PTH Conference.




Data Processing and Anonymisation: All data included in this dataset have been meticulously treated and anonymized to comply with the General Data Protection Regulation (GDPR) guidelines.
DOI: 10.57967/hf/1704
title: latent_diffusion_super_sampling
DOI: 10.3886/e185702
title: Data and Code for: Increasing the Retirement Age: Policy Effects and Underlying Mechanisms

description: We study the effects of increasing the statutory retirement age (SRA) in the Netherlands, using RDD and administrative data on the universe of the population. We find clear and large employment effects of the reform. A simple model in which individuals stay longer in their pre-SRA labor market state predicts the treatment effects well. The employment level before the SRA and the retirement hazard at the SRA are the key determinants of the effects of the policy change. Exploring potential explanations for the high hazard rate observed in the Netherlands, our results point to an important role of employers' effects. <br><br>
DOI: 10.3886/e185702v1-145641
title: Data and Code for: Increasing the Retirement Age: Policy Effects and Underlying Mechanisms

description: We study the effects of increasing the statutory retirement age (SRA) in the Netherlands, using RDD and administrative data on the universe of the population. We find clear and large employment effects of the reform. A simple model in which individuals stay longer in their pre-SRA labor market state predicts the treatment effects well. The employment level before the SRA and the retirement hazard at the SRA are the key determinants of the effects of the policy change. Exploring potential explanations for the high hazard rate observed in the Netherlands, our results point to an important role of employers' effects. <br><br>
DOI: 10.6084/m9.figshare.25097660
title: Supplementary Table 4

description: Comparative number of nonsynonymous SNPs in the nucleotide sequences of <i>prfA</i>, <i>hly</i>, <i>inlA</i> and <i>inlB</i> genes of the <i>Listeria monocytogenes</i> strain AUF and other reference strains versus the <i>L. monocytogenes</i> strain EGD
DOI: 10.6084/m9.figshare.25097660.v2
title: Supplementary Table 4

description: Comparative number of nonsynonymous SNPs in the nucleotide sequences of <i>prfA</i>, <i>hly</i>, <i>inlA</i> and <i>inlB</i> genes of the <i>Listeria monocytogenes</i> strain AUF and other reference strains versus the <i>L. monocytogenes</i> strain EGD
DOI: 10.6084/m9.figshare.25097660.v1
title: Supplementary Table 4

description: Comparative number of nonsynonymous SNPs in the nucleotide sequences of <i>prfA</i>, <i>hly</i>, <i>inlA</i> and <i>inlB</i> genes of the <i>Listeria monocytogenes</i> strain AUF and other reference strains versus the <i>L. monocytogenes</i> strain EGD
DOI: 10.6084/m9.figshare.24299377
title: Supplementary Table 3

description: Comparative characteristics of 17 pseudogenes found in the <i>L. monocytogenes</i> AUF genome by BLAST analysis (https://blast.ncbi.nlm.nih.gov/Blast.cgi)
DOI: 10.6084/m9.figshare.24299377.v3
title: Supplementary Table 3

description: Comparative characteristics of 17 pseudogenes found in the <i>L. monocytogenes</i> AUF genome by BLAST analysis (https://blast.ncbi.nlm.nih.gov/Blast.cgi)
DOI: 10.6084/m9.figshare.24299377.v4
title: Supplementary Table 3

description: Comparative characteristics of 17 pseudogenes found in the <i>L. monocytogenes</i> AUF genome by BLAST analysis (https://blast.ncbi.nlm.nih.gov/Blast.cgi)
DOI: 10.6084/m9.figshare.24299374
title: Supplementary Table 2

description: Comparison of the AUF genome with the <i>L. monocytogenes</i> reference genomes. Comparative analysis of the whole genomes of the <i>L. monocytogenes</i> AUF versus nine Lm reference strains on the BV-BRC platform (https://www.bv–brc.org/).
DOI: 10.6084/m9.figshare.24299374.v4
title: Supplementary Table 2

description: Comparison of the AUF genome with the <i>L. monocytogenes</i> reference genomes. Comparative analysis of the whole genomes of the <i>L. monocytogenes</i> AUF versus nine Lm reference strains on the BV-BRC platform (https://www.bv–brc.org/).
DOI: 10.6084/m9.figshare.24299374.v3
title: Supplementary Table 2

description: Comparison of the AUF genome with the <i>L. monocytogenes</i> reference genomes. Comparative analysis of the whole genomes of the <i>L. monocytogenes</i> AUF versus nine Lm reference strains on the BV-BRC platform (https://www.bv–brc.org/).
DOI: 10.6084/m9.figshare.24298378.v3
title: Supplementary Table 1

description: Comparative differences between the <i>L. monocytogenes</i> strain AUF and other Lm reference strains of zoonotic origin. Comparison the number and allele profiles of genes/loci functionally annotated and associated with different Lm activity.