cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc272w7g
title: CCDC 2058345: Experimental Crystal Structure Determination

description: Related Article: Yanjun Ding, Lukman O. Alimi, Basem Moosa, Carine Maaliki, Johan Jacquemin, Feihe Huang, Niveen M. Khashab|2021|Chemical Science|12|5315|doi:10.1039/D1SC00440A
DOI: 10.5517/ccdc.csd.cc2761p6
title: CCDC 2061397: Experimental Crystal Structure Determination

description: Related Article: Robert Tarrieu, Irene Hernandez Delgado, Francesco Zinna, Vincent Dorcet, Sophie Colombel-Rouen, Christophe Crévisy, Olivier Baslé, Johann Bosson, Jérôme Lacour|2021|Chem.Commun.|57|3793|doi:10.1039/D1CC00898F
DOI: 10.5517/ccdc.csd.cc2761q7
title: CCDC 2061398: Experimental Crystal Structure Determination

description: Related Article: Robert Tarrieu, Irene Hernandez Delgado, Francesco Zinna, Vincent Dorcet, Sophie Colombel-Rouen, Christophe Crévisy, Olivier Baslé, Johann Bosson, Jérôme Lacour|2021|Chem.Commun.|57|3793|doi:10.1039/D1CC00898F
DOI: 10.5281/zenodo.4694270
title: Effect of suicide rates on life expectancy dataset

description: <strong>Effect of suicide rates on life expectancy dataset</strong> <strong>Abstract</strong><br> In 2015, approximately 55 million people died worldwide, of which 8 million committed suicide. In the USA, one of the main causes of death is the aforementioned suicide, therefore, this experiment is dealing with the question of how much suicide rates affects the statistics of average life expectancy.<br> The experiment takes two datasets, one with the number of suicides and life expectancy in the second one and combine data into one dataset. Subsequently, I try to find any patterns and correlations among the variables and perform statistical test using simple regression to confirm my assumptions. <br> <strong>Data</strong> The experiment uses two datasets - WHO Suicide Statistics[1] and WHO Life Expectancy[2], which were firstly appropriately preprocessed. The final merged dataset to the experiment has 13 variables, where country and year are used as index: <strong>Country</strong>, <strong>Year</strong>, <strong>Suicides number</strong>, <strong>Life expectancy</strong>, <strong>Adult Mortality</strong>, which is probability of dying between 15 and 60 years per 1000 population, <strong>Infant deaths</strong>, which is number of Infant Deaths per 1000 population, <strong>Alcohol</strong>, which is alcohol, recorded per capita (15+) consumption, <strong>Under-five deaths</strong>, which is number of under-five deaths per 1000 population, <strong>HIV/AIDS</strong>, which is deaths per 1 000 live births HIV/AIDS, <strong>GDP</strong>, which is Gross Domestic Product per capita, <strong>Population</strong>, <strong>Income composition of resources, </strong>which is Human Development Index in terms of income composition of resources, and <strong>Schooling, </strong>which is number of years of schooling. <strong>LICENSE</strong> THE EXPERIMENT USES TWO DATASET - WHO SUICIDE STATISTICS AND WHO LIFE EXPECTANCY, WHICH WERE COLLEECTED FROM WHO AND UNITED NATIONS WEBSITE. THEREFORE, ALL DATASETS ARE UNDER THE LICENSE ATTRIBUTION-NONCOMMERCIAL-SHAREALIKE 3.0 IGO (https://creativecommons.org/licenses/by-nc-sa/3.0/igo/). [1] https://www.kaggle.com/szamil/who-suicide-statistics [2] https://www.kaggle.com/kumarajarshi/life-expectancy-who
DOI: 10.5281/zenodo.4694269
title: Effect of suicide rates on life expectancy dataset

description: <strong>Effect of suicide rates on life expectancy dataset</strong> <strong>Abstract</strong><br> In 2015, approximately 55 million people died worldwide, of which 8 million committed suicide. In the USA, one of the main causes of death is the aforementioned suicide, therefore, this experiment is dealing with the question of how much suicide rates affects the statistics of average life expectancy.<br> The experiment takes two datasets, one with the number of suicides and life expectancy in the second one and combine data into one dataset. Subsequently, I try to find any patterns and correlations among the variables and perform statistical test using simple regression to confirm my assumptions. <br> <strong>Data</strong> The experiment uses two datasets - WHO Suicide Statistics[1] and WHO Life Expectancy[2], which were firstly appropriately preprocessed. The final merged dataset to the experiment has 13 variables, where country and year are used as index: <strong>Country</strong>, <strong>Year</strong>, <strong>Suicides number</strong>, <strong>Life expectancy</strong>, <strong>Adult Mortality</strong>, which is probability of dying between 15 and 60 years per 1000 population, <strong>Infant deaths</strong>, which is number of Infant Deaths per 1000 population, <strong>Alcohol</strong>, which is alcohol, recorded per capita (15+) consumption, <strong>Under-five deaths</strong>, which is number of under-five deaths per 1000 population, <strong>HIV/AIDS</strong>, which is deaths per 1 000 live births HIV/AIDS, <strong>GDP</strong>, which is Gross Domestic Product per capita, <strong>Population</strong>, <strong>Income composition of resources, </strong>which is Human Development Index in terms of income composition of resources, and <strong>Schooling, </strong>which is number of years of schooling. <strong>LICENSE</strong> THE EXPERIMENT USES TWO DATASET - WHO SUICIDE STATISTICS AND WHO LIFE EXPECTANCY, WHICH WERE COLLEECTED FROM WHO AND UNITED NATIONS WEBSITE. THEREFORE, ALL DATASETS ARE UNDER THE LICENSE ATTRIBUTION-NONCOMMERCIAL-SHAREALIKE 3.0 IGO (https://creativecommons.org/licenses/by-nc-sa/3.0/igo/). [1] https://www.kaggle.com/szamil/who-suicide-statistics [2] https://www.kaggle.com/kumarajarshi/life-expectancy-who
DOI: 10.5066/p9fe667o
title: Water quality and discharge data from draining mine tunnels near Silverton, Colorado 1993-2015

description: The American Tunnel, the Black Hawk mine, the Gold King mine, the Mogul mine, and the Red and Bonita mine are located in the Cement Creek watershed, tributary to the upper Animas River near Silverton, Colorado. All five sites have tunnels that drain groundwater from abandoned underground mine workings to the surface. This draining water has elevated concentrations of metals and degrades water quality in Cement Creek. Water quality (pH, and dissolved copper, manganese, and zinc concentrations) and discharge data were compiled from multiple sources to examine changes in these parameters through time. Copper, manganese, and zinc loads calculated from these data are included in the data files. Data are reported for the American Tunnel (November 1988 through July 2015), the Black Hawk mine (September 1991 through September 2005), the Gold King mine (August 1993 through July 2015), the Mogul mine (July 1992 through July 2015), and the Red and Bonita mine (June 1997 through July 2015).
DOI: 10.6084/m9.figshare.14424410
title: Formulário Pesquisa.pdf

description: Formulário estruturado para a coleta de dados da pesquisa: PERFIL DO USO DE MEDICAMENTOS POR GESTANTES ATENDIDAS EM UMA UNIDADE BÁSICA DE SAÚDE LOCALIZADA NA REGIÃO NORTE DO CEARÁ
DOI: 10.6084/m9.figshare.14424410.v1
title: Formulário Pesquisa.pdf

description: Formulário estruturado para a coleta de dados da pesquisa: PERFIL DO USO DE MEDICAMENTOS POR GESTANTES ATENDIDAS EM UMA UNIDADE BÁSICA DE SAÚDE LOCALIZADA NA REGIÃO NORTE DO CEARÁ
DOI: 10.6084/m9.figshare.14424377
title: PREDICTION OF COGNITIVE IMPAIRMENT IN PD BY MOCA.sav

description: 58 PD patients evaluated with the MoCA and a neuropsychological assessment battery that included tests to measure attention/working memory, memory, visuospatial ability, language and executive functions.
DOI: 10.15468/6djg7f
title: New and little-known digger wasps (Hymenoptera: Ampulicidae, Sphecidae Crabronidae) from Russia

description: This dataset contains the digitized treatments in Plazi based on the original journal article Mokrousov, Mikhail V., Proshchalykin, Maxim Yu. (2021): New and little-known digger wasps (Hymenoptera: Ampulicidae, Sphecidae Crabronidae) from Russia. Zootaxa 4952 (2): 314-330, DOI: https://doi.org/10.11646/zootaxa.4952.2.6
DOI: 10.6084/m9.figshare.14424404
title: PB_PARECER_CONSUBSTANCIADO_CEP_3569328.pdf

description: Parecer Consubstanciado, emitido pelo Comitê de Ética em Pesquisa do Instituto Superior de Teologia Aplicada - INTA, com o número de parecer 3.569.328, para a realização da pesquisa: PERFIL DO USO DE MEDICAMENTOS POR GESTANTES ATENDIDAS EM UMA UNIDADE BÁSICA DE SAÚDE LOCALIZADA NA REGIÃO NORTE DO CEARÁ
DOI: 10.6084/m9.figshare.14424404.v1
title: PB_PARECER_CONSUBSTANCIADO_CEP_3569328.pdf

description: Parecer Consubstanciado, emitido pelo Comitê de Ética em Pesquisa do Instituto Superior de Teologia Aplicada - INTA, com o número de parecer 3.569.328, para a realização da pesquisa: PERFIL DO USO DE MEDICAMENTOS POR GESTANTES ATENDIDAS EM UMA UNIDADE BÁSICA DE SAÚDE LOCALIZADA NA REGIÃO NORTE DO CEARÁ
DOI: 10.6084/m9.figshare.14417120
title: Geneshot: Gene-level metagenomics identifies genome islands associated with immunotherapy response

description: Data associated with the manuscript: Geneshot: Gene-level metagenomics identifies genome islands associated with immunotherapy response
DOI: 10.15468/gnctdj
title: Taxonomic study of the genus Microplitis Förster, 1862 (Hymenoptera, Braconidae, Microgastrinae) from Iran

description: This dataset contains the digitized treatments in Plazi based on the original journal article Abdoli, Parisa, Talebi, Ali Asghar, Fernandez-Triana, Jose, Farahani, Samira (2021): Taxonomic study of the genus Microplitis Förster, 1862 (Hymenoptera, Braconidae, Microgastrinae) from Iran. European Journal of Taxonomy 744: 83-118, DOI: https://doi.org/10.5852/ejt.2021.744.1305, URL: http://dx.doi.org/10.5852/ejt.2021.744.1305
DOI: 10.5281/zenodo.4550471
title: Heterogeneous Hardware Support in Docker Images

description: Docker images are used to distribute and deploy cloud-native applications in containerised form. A container engine runs them with separated privileges according to namespaces. Recent studies have investigated security vulnerabilities and runtime characteristics of Docker images. In contrast, little is known about the extent of hardware-dependent features in them such as processor-specific trusted execution environments, graphics acceleration or extension boards. This problem can be generalised to missing knowledge about the extent of any hardware-bound instructions within the images that may require elevated privileges.<br> We first conduct a systematic one-year evolution analysis of a sample of Docker images concerning their use of hardware-specific features. To improve the state of technology, we contribute novel tools to manage such images. Our heuristic hardware dependency detector and a hardware-aware Docker executor <em>hdocker</em> give early warnings upon missing dependencies instead of leading to silent or untimely failures. Our dataset and tools are released to the research community. <em>Accompanying paper: P. Gkikopoulos, V. Schiavoni, J. Spillner, «Analysis and Improvement of Heterogeneous Hardware Support in Docker Images», 21st International Conference on Distributed Applications and Interoperable Systems (DAIS 2021).</em>
DOI: 10.5281/zenodo.4531794
title: Heterogeneous Hardware Support in Docker Images

description: Docker images are used to distribute and deploy cloud-native applications in containerised form. A container engine runs them with separated privileges according to namespaces. Recent studies have investigated security vulnerabilities and runtime characteristics of Docker images. In contrast, little is known about the extent of hardware-dependent features in them such as processor-specific trusted execution environments, graphics acceleration or extension boards. This problem can be generalised to missing knowledge about the extent of any hardware-bound instructions within the images that may require elevated privileges.<br> We first conduct a systematic one-year evolution analysis of a sample of Docker images concerning their use of hardware-specific features. To improve the state of technology, we contribute novel tools to manage such images. Our heuristic hardware dependency detector and a hardware-aware Docker executor <em>hdocker</em> give early warnings upon missing dependencies instead of leading to silent or untimely failures. Our dataset and tools are released to the research community. <em>Accompanying paper: P. Gkikopoulos, V. Schiavoni, J. Spillner, «Analysis and Improvement of Heterogeneous Hardware Support in Docker Images», 21st International Conference on Distributed Applications and Interoperable Systems (DAIS 2021).</em>
DOI: 10.6084/m9.figshare.14424416.v1
title: ASVs

description: fasta file of picoplankton ASVs from Seasonal variability of photosynthetic microbial eukaryotes (&lt;3µm) in the Kara Sea revealed by metabarcoding of sediment trap fluxes<br>
DOI: 10.6084/m9.figshare.14424413.v1
title: Suppl materials to Seasonal variability of photosynthetic microbial eukaryotes (&lt;3µm) in the Kara Sea revealed by metabarcoding of sediment trap fluxes

description: uppl materials to Seasonal variability of photosynthetic microbial eukaryotes (&lt;3µm) in the Kara Sea revealed by metabarcoding of sediment trap fluxes
DOI: 10.6084/m9.figshare.14424416
title: ASVs

description: fasta file of picoplankton ASVs from Seasonal variability of photosynthetic microbial eukaryotes (&lt;3µm) in the Kara Sea revealed by metabarcoding of sediment trap fluxes<br>
DOI: 10.6084/m9.figshare.14424413
title: Suppl materials to Seasonal variability of photosynthetic microbial eukaryotes (&lt;3µm) in the Kara Sea revealed by metabarcoding of sediment trap fluxes

description: uppl materials to Seasonal variability of photosynthetic microbial eukaryotes (&lt;3µm) in the Kara Sea revealed by metabarcoding of sediment trap fluxes
DOI: 10.6084/m9.figshare.14424386
title: An evolutionary genomic approach reveals both conserved and species-specific genetic elements related to human disease in closely related Aspergillus fungi

description: Aspergillosis is an important opportunistic human disease caused by filamentous fungi in the genus <i>Aspergillus</i>. Roughly 70% of infections are caused by <i>Aspergillus fumigatus</i>, with the rest stemming from approximately a dozen other <i>Aspergillus </i>species. Several of these pathogens are closely related to <i>A. fumigatus </i>and belong in the same taxonomic section, section <i>Fumigati</i>. Pathogenic species are frequently most closely related to non-pathogenic ones, suggesting <i>Aspergillus </i>pathogenicity evolved multiple times independently. To understand the repeated evolution of <i>Aspergillus </i>pathogenicity, we performed comparative genomic analyses on 18 strains from 13 species, including 8 species in<i> </i>section <i>Fumigati</i>, which aimed to identify genes, both ones previously connected to virulence as well as ones never before implicated, whose evolution differs between pathogens and non-pathogens. We found that most genes were present in all species, including approximately half of those previously connected to virulence, but a few genes were section- or species-specific. Evolutionary rate analyses identified over 1,700 genes whose evolutionary rate differed between pathogens and non-pathogens and dozens of genes whose rates differed between specific pathogens and the rest of the taxa. For example, we found 34 genes whose evolutionary rate was uniquely different in <i>A. fumigatus </i>and 85 genes whose rate was uniquely different in the pathogen <i>A. lentulus</i>. Functional testing of deletion mutants of 17 transcription factor-encoding genes whose evolution differed between pathogens and non-pathogens identified eight genes that affect either fungal survival in a model of phagocytic killing, host survival in an animal model of fungal disease, or both. These results suggest that the evolution of pathogenicity in <i>Aspergillus </i>involved both conserved and species-specific genetic elements, illustrating how an evolutionary genomic approach informs the study of fungal disease.<br>These files contain all of the supplementary information for the manuscript.<br>
DOI: 10.6084/m9.figshare.14410706.v4
title: Tables_S3-6.xlsx - "Examination of gene loss in the DNA mismatch repair pathway and its mutational consequences in a fungal phylum"

description: Statistical analysis accompanying Fig. 5 of "Examination of gene loss in the DNA mismatch repair pathway and its mutational consequences in a fungal phylum"<br>
DOI: 10.15468/3tu6ug
title: Review of Scydmaenus species of continental China described by Herbert Franz (Coleoptera, Staphylinidae, Scydmaeninae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Jałoszyński, Paweł (2021): Review of Scydmaenus species of continental China described by Herbert Franz (Coleoptera, Staphylinidae, Scydmaeninae). Zootaxa 4952 (2): 354-368, DOI: https://doi.org/10.11646/zootaxa.4952.2.8
DOI: 10.6084/m9.figshare.14410994.v1
title: Examination of gene loss in the DNA mismatch repair pathway and its mutational consequences in a fungal phylum

description: Supplementary data for "Examination of gene loss in the DNA mismatch repair pathway and its mutational consequences in a fungal phylum"<br>
DOI: 10.6084/m9.figshare.14175404
title: Donovan and Lucas 2021 Data.xlsx

description: Kinney Quarry foliage specimens and associated arthropod damage data from Donovan and Lucas (2021).<br>Michael P. Donovan and Spencer G. Lucas, 2021. Insect herbivory on the Late Pennsylvanian Kinney Brick Quarry flora, New Mexico, USA. Kinney Brick Quarry Lagerstätte, New Mexico Museum of Natural History and Science Bulletin 84: 193-207.
DOI: 10.6084/m9.figshare.14175404.v1
title: Donovan and Lucas 2021 Data.xlsx

description: Kinney Quarry foliage specimens and associated arthropod damage data from Donovan and Lucas (2021).<br>Michael P. Donovan and Spencer G. Lucas, 2021. Insect herbivory on the Late Pennsylvanian Kinney Brick Quarry flora, New Mexico, USA. Kinney Brick Quarry Lagerstätte, New Mexico Museum of Natural History and Science Bulletin 84: 193-207.
DOI: 10.6084/m9.figshare.14410697.v2
title: README.txt - "Examination of gene loss in the DNA mismatch repair pathway and its mutational consequences in a fungal phylum"

description: README file for "Examination of gene loss in the DNA mismatch repair pathway and its mutational consequences in a fungal phylum" <br>
DOI: 10.6084/m9.figshare.14410646.v2
title: Table_S2.txt - "Examination of gene loss in the DNA mismatch repair pathway and its mutational consequences in a fungal phylum"

description: HLT & LLT microsatellite length analysis for "Examination of gene loss in the DNA mismatch repair pathway and its mutational consequences in a fungal phylum" <br>
DOI: 10.15468/qhvynh
title: Ovilyra, a new genus of leucosiid crab (Crustacea: Decapoda: Brachyura) from the West Pacific

description: This dataset contains the digitized treatments in Plazi based on the original journal article Ng, Peter K. L. (2021): Ovilyra, a new genus of leucosiid crab (Crustacea: Decapoda: Brachyura) from the West Pacific. Zootaxa 4952 (2): 369-380, DOI: https://doi.org/10.11646/zootaxa.4952.2.9
DOI: 10.6084/m9.figshare.14410643.v2
title: Table_S1.txt - "Examination of gene loss in the DNA mismatch repair pathway and its mutational consequences in a fungal phylum"

description: HLT & LLT microsatellite count analysis for "Examination of gene loss in the DNA mismatch repair pathway and its mutational consequences in a fungal phylum" <br>
DOI: 10.5281/zenodo.4694858
title: SARS-CoV-2 genome alignments

description: These four files include 27,851 SARS-CoV-2 full genomic sequences that were uploaded to GenBank between January 2020 and January 2021. Sequences were retrieved on four separate occasions, as reflected in their file names. The last download date was January 19, 2021, so the files should include every full-length sequence on GenBank up that point, but the sequence list was filtered to remove duplicates, sequences with too many non-canonical nucleotide calls (e.g., N, R, Y, etc.), and sequences that were truncated on either end beyond a certain minimum length cutoff. In the coding regions, sequences were aligned codon-by-codon to the amino acid string. The first 'sequence' in each alignment file is the amino acid translation of the reference strain. Asterisks denote non-coding nucleotides. Each amino acid is represented by its single-letter code, repeated three times (e.g., methionine = MMM). Stop codons are denoted with XXX. Gaps caused by insertions among the included sequences are denoted by "-" and are carried over into the AA strand. The first real sequence is the reference strain (NC_045512.2, aka "Wuhan-1). The sequences were downloaded and processed in batches: spring 2020, summer 2020, fall 2020, and winter 2021. Thus, the sequence files and the sequences contained therein are roughly in chronological order, but this order represents the date of upload to GenBank, not the infection date or sequencing date. Each file is locally degapped. You will have to handle this yourself if you wish to combine files.
DOI: 10.5281/zenodo.4694857
title: SARS-CoV-2 genome alignments

description: These four files include 27,851 SARS-CoV-2 full genomic sequences that were uploaded to GenBank between January 2020 and January 2021. Sequences were retrieved on four separate occasions, as reflected in their file names. The last download date was January 19, 2021, so the files should include every full-length sequence on GenBank up that point, but the sequence list was filtered to remove duplicates, sequences with too many non-canonical nucleotide calls (e.g., N, R, Y, etc.), and sequences that were truncated on either end beyond a certain minimum length cutoff. In the coding regions, sequences were aligned codon-by-codon to the amino acid string. The first 'sequence' in each alignment file is the amino acid translation of the reference strain. Asterisks denote non-coding nucleotides. Each amino acid is represented by its single-letter code, repeated three times (e.g., methionine = MMM). Stop codons are denoted with XXX. Gaps caused by insertions among the included sequences are denoted by "-" and are carried over into the AA strand. The first real sequence is the reference strain (NC_045512.2, aka "Wuhan-1). The sequences were downloaded and processed in batches: spring 2020, summer 2020, fall 2020, and winter 2021. Thus, the sequence files and the sequences contained therein are roughly in chronological order, but this order represents the date of upload to GenBank, not the infection date or sequencing date. Each file is locally degapped. You will have to handle this yourself if you wish to combine files.
DOI: 10.15468/zd3swm
title: Review of the plant bug tribe Eccritotarsini (Hemiptera: Heteroptera: Miridae) of India and Sri Lanka with description of two new genera and six new species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Yeshwanth, H. M., Konstantinov, Fedor V. (2021): Review of the plant bug tribe Eccritotarsini (Hemiptera: Heteroptera: Miridae) of India and Sri Lanka with description of two new genera and six new species. European Journal of Taxonomy 745: 1-69, DOI: https://doi.org/10.5852/ejt.2021.745.1311
DOI: 10.5281/zenodo.4634896
title: bsc-flowmaps/fm-daily-mobility:

description: No description provided.
DOI: 10.5281/zenodo.4635259
title: bsc-flowmaps/fm-population:

description: No description provided.
DOI: 10.5281/zenodo.4695045
title: Dataset for article: Retractions and post-retraction citations in the COVID-19 infodemic: is Academia spreading misinformation?

description: This dataset contains the data for the article “Retractions and post-retraction citations in the COVID-19 infodemic: is Academia spreading misinformation?”.
DOI: 10.5281/zenodo.4695044
title: Dataset for article: Retractions and post-retraction citations in the COVID-19 infodemic: is Academia spreading misinformation?

description: This dataset contains the data for the article “Retractions and post-retraction citations in the COVID-19 infodemic: is Academia spreading misinformation?”.