cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21954/ou.rd.21222254.v1
title: Gapseq Transporter Data

description: Data relating to the thesis: Constraining Microbial Community Composition, Structure, and Function Within Acidic Geothermal Springs on São Miguel Island <br> This is the data of the transporters identified by gapseq for each of the high-quality metagenome-assembled-genomes constructed in Chapter 5 of the thesis
DOI: 10.6084/m9.figshare.21253263
title: Raw Data From Towards Imposing Load Shedding Hierarchies based on Tokenised Self Assessed Licenses

description: Raw data as Excel spreadsheets for the paper Raw Data From Towards Imposing Load Shedding Hierarchies based on Tokenised Self Assessed Licenses
DOI: 10.6084/m9.figshare.21253263.v1
title: Raw Data From Towards Imposing Load Shedding Hierarchies based on Tokenised Self Assessed Licenses

description: Raw data as Excel spreadsheets for the paper Raw Data From Towards Imposing Load Shedding Hierarchies based on Tokenised Self Assessed Licenses
DOI: 10.5281/zenodo.7129327
title: accipiter_virgatus_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.7129326
title: accipiter_virgatus_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.21954/ou.rd.21222260
title: Phylogenetic trees (raw and images) of genera of interest

description: Data relating to the thesis: Constraining Microbial Community Composition, Structure, and Function Within Acidic Geothermal Springs on São Miguel Island <br> These are both the raw .nwk and the png images of the phylogenetic trees constructed of specific genera identified within acidic hot springs in the Azores. <br> The original fasta files are concatonated by genera, containing both reference sequences pulled from fasta and ASVs extracted from the Dada2 analysis of 16S rRNA data
DOI: 10.21954/ou.rd.21222260.v1
title: Phylogenetic trees (raw and images) of genera of interest

description: Data relating to the thesis: Constraining Microbial Community Composition, Structure, and Function Within Acidic Geothermal Springs on São Miguel Island <br> These are both the raw .nwk and the png images of the phylogenetic trees constructed of specific genera identified within acidic hot springs in the Azores. <br> The original fasta files are concatonated by genera, containing both reference sequences pulled from fasta and ASVs extracted from the Dada2 analysis of 16S rRNA data
DOI: 10.5281/zenodo.6838769
title: Anhang 3, Stimm-, Sprach- und Gesichtserkennung

description: Anhang 3: Liste der Anwendungsfälle
DOI: 10.5281/zenodo.6838768
title: Anhang 3, Stimm-, Sprach- und Gesichtserkennung

description: Anhang 3: Liste der Anwendungsfälle
DOI: 10.5281/zenodo.6838773
title: Anhang 4, Stimm-, Sprach- und Gesichtserkennung

description: Anhang 4: Datensatz der Befragung zu Stimm-, Sprach- und Gesichtserkennung
DOI: 10.5281/zenodo.6838772
title: Anhang 4, Stimm-, Sprach- und Gesichtserkennung

description: Anhang 4: Datensatz der Befragung zu Stimm-, Sprach- und Gesichtserkennung
DOI: 10.21954/ou.rd.21222299
title: Geochemistry Data

description: Data relating to the thesis: Constraining Microbial Community Composition, Structure, and Function Within Acidic Geothermal Springs on São Miguel Island <br> This contains all the raw data from the geochemical analysis of the acidic hot springs in the Azores, which were investigated in this thesis. <br> For details on the machines used see the thesis.
DOI: 10.21954/ou.rd.21222299.v1
title: Geochemistry Data

description: Data relating to the thesis: Constraining Microbial Community Composition, Structure, and Function Within Acidic Geothermal Springs on São Miguel Island <br> This contains all the raw data from the geochemical analysis of the acidic hot springs in the Azores, which were investigated in this thesis. <br> For details on the machines used see the thesis.
DOI: 10.21954/ou.rd.21222332
title: Metagenome Illumina Index

description: Data relating to the thesis: Constraining Microbial Community Composition, Structure, and Function Within Acidic Geothermal Springs on São Miguel Island <br> This is the index used for the Metagenome data described in this thesis. <br> This index will need to specified when performing the trimming step in the bioinformatics analysis of the metagenome dataset in this thesis.
DOI: 10.21954/ou.rd.21222332.v1
title: Metagenome Illumina Index

description: Data relating to the thesis: Constraining Microbial Community Composition, Structure, and Function Within Acidic Geothermal Springs on São Miguel Island <br> This is the index used for the Metagenome data described in this thesis. <br> This index will need to specified when performing the trimming step in the bioinformatics analysis of the metagenome dataset in this thesis.
DOI: 10.5281/zenodo.7129283
title: Bibliometric data ESS scientists up until 2020

description: Bibliometric data for 126 of a BSOs’ staff has been collected including all publications from the beginning of their research careers. The dataset is shaped by author, where the variables are represented as totals.
DOI: 10.5281/zenodo.7129284
title: Bibliometric data ESS scientists up until 2020

description: Bibliometric data for 126 of a BSOs’ staff has been collected including all publications from the beginning of their research careers. The dataset is shaped by author, where the variables are represented as totals.
DOI: 10.34740/kaggle/dsv/4267944
title: Elon Musk Tweets
DOI: 10.12751/g-node.d47f53
title: Dataset of Predictive coding in ASD: reduced adaptability of prior to environmental changes

description: Data and codes for the study of predicitiv coding in ASD
DOI: 10.25416/ntr.21130323
title: Exploring the Open Mic Guidelines & Template

description: <em>Drawing on reflections and experience of organising, hosting and performing at open mic events, the guidelines and template in this document have been created to support others to create their own open mic events in their own context</em>. <br> <strong>Authors:</strong> Pip McDonald (@PipMac6) Chrissi Nerantzi (@chrissinerantzi) <br> <br> DOI: 10.25416/NTR.21130323
DOI: 10.25416/ntr.21130323.v4
title: Exploring the Open Mic Guidelines & Template

description: <em>Drawing on reflections and experience of organising, hosting and performing at open mic events, the guidelines and template in this document have been created to support others to create their own open mic events in their own context</em>. <br> <strong>Authors:</strong> Pip McDonald (@PipMac6) Chrissi Nerantzi (@chrissinerantzi) <br> <br> DOI: 10.25416/NTR.21130323
DOI: 10.25416/ntr.21130323.v3
title: Exploring the Open Mic Guidelines & Template

description: <em>Drawing on reflections and experience of organising, hosting and performing at open mic events, the guidelines and template in this document have been created to support others to create their own open mic events in their own context</em>. <br> <strong>Authors:</strong> Pip McDonald (@PipMac6) Chrissi Nerantzi (@chrissinerantzi) <br> <br> DOI: 10.25416/NTR.21130323
DOI: 10.34857/0088569
title: Factors enhancing the level of utilisation of research knowledge on ecosystems

description: The significant resource investment in research on ecosystems for development of the Global South does not necessarily result in high levels of research knowledge utilisation (RKU). Understanding the factors associated with various levels of RKU can inform funding agencies and researchers developing new projects. We applied a combination of a questionnaire survey and follow up interviews with members of research teams of multiple, broadly comparable projects to make an assessment of achieved RKU levels using a combination of quantitative statistical hypothesis testing and narrative description of survey responses.\r\n\r\nAnonymised responses collected through the online survey are presented here. The survey instrument is available as electronic supplement of Eschen et al. (2021): https://doi.org/to.be/updated\r\n\r\n__To cite this dataset:__ \r\nRen\xe9 Eschen, Purity Rima Mbaabu , Bruno Salomon Ramamonjisoa, Carmenza Robledo-Abad (2021). Dataset: Factors enhancing the level of utilisation of research knowledge on ecosystems. CABI Datasets https://doi.org/10.34857/0088569\r\n
DOI: 10.6084/m9.figshare.20059022
title: Spatial data of soil related microplastic case and field studies

description: The dataset stored within this repository contains the data of a literature review dealing with the spatial reference, sampling approaches and reported soil context of recent studies focusing on microplastic evidence in soils worldwide (case and field studies). <br> The data were selected through a literature query via Web of Science (Clarivate Analytics, search terms "microplastic" + "soil") and subsequent evaluation and includes, in addition to the papers analyzed (35 papers, 2016-03/2022), the questionnaire applied (metadata) and the corresponding responses. <br> The <strong>OMSP.xlsx</strong> datset includes three tables: 1) number of papers according to search terms by year (2016-03/2022); 2) responces to the questionnaire; 3) questionnaire (metadata). <br> The <strong>OMSP.csv </strong>dataset includes only the related papers (e.g., DOI identifier) and responces to the questionnaire.
DOI: 10.6084/m9.figshare.21253269
title: global_pandemic_sim

description: Modeling the global dynamics of emerging infectious diseases (EIDs) like COVID-19 can provide important guidance in the preparation and mitigation of pandemic threats. While age-structured transmission models are widely used to simulate the evolution of EIDs, most of these studies focus on the analysis of specific countries and fail to characterize the spatial spread of EIDs across geographic regions. Here, we developed a global pandemic simulator that integrates age-structured disease transmission models across 3,157 cities and explored its usage under several scenarios.
DOI: 10.5519/qd.qmz34815
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (252 records)
DOI: 10.5281/zenodo.7129314
title: Machine learning for Material Science 2022 - Neural Networks Assignment Dataset

description: Data for the neural network assignment
DOI: 10.5281/zenodo.7129315
title: Machine learning for Material Science 2022 - Neural Networks Assignment Dataset

description: Data for the neural network assignment
DOI: 10.5281/zenodo.7129332
title: Machine learning for Material Science 2022 - Neural Networks Assignment Dataset

description: Data for the neural network assignment
DOI: 10.6084/m9.figshare.16912498.v1
title: Data retrieved from survey Qualtrics within the framework of the project Professionals at the Interface of Science (PIoS): the missing link?

description: This dataset results from a survey and online interviews conducted in June 2020, targeting Professionals at the Interface of Science (PIoS) working at government institutions pursuing the mission of science funding and policy making, across the world.We define PIoS as those Professionals performing broad activities in research management and administration; science communication; knowledge and technology transfer; laboratory management and other areas, working at all types of research-performing institutions (as defined by Agostinho et al, 2018).The platform used was Qualtrics and the data retrieved using SPSS
DOI: 10.5281/zenodo.7129229
title: Dissecting CD8+ T cell pathology of severe SARS-CoV-2 infection by single-cell immunoprofiling

description: SARS-CoV-2 infection results in varying disease severity, ranging from asymptomatic infection to severe illness. A detailed understanding of the immune response to SARS-CoV-2 is critical to unravel the causative factors underlying differences in disease severity and to develop optimal vaccines against new SARS-CoV-2 variants. We combined single-cell RNA and T cell receptor sequencing with CITE-seq antibodies to characterize the CD8+ T cell response to SARS-CoV-2 infection at high resolution and compared responses between mild and severe COVID-19. We observed a population of exhausted CD8+ T cells in severe SARS-CoV-2 infection and identified a population of NK-like, terminally differentiated CD8+ effector T cells characterized by expression of FCGR3A (encoding CD16). Further characterization of NK-like CD8+ T cells revealed heterogeneity among CD16+ NK-like CD8+ T cells and profound differences in cytotoxicity, exhaustion, and NK-like differentiation between mild and severe disease conditions. We propose a model in which differences in the surrounding inflammatory milieu lead to crucial differences in NK-like differentiation of CD8+ effector T cells, ultimately resulting in the appearance of NK-like CD8+ T cell populations of different functionality and pathogenicity. Our in-depth characterization of the CD8+ T cell-mediated response to SARS-CoV-2 infection provides a basis for further investigation of the importance of NK-like CD8+ T cells in COVID-19 severity.
DOI: 10.5281/zenodo.7129228
title: Dissecting CD8+ T cell pathology of severe SARS-CoV-2 infection by single-cell immunoprofiling

description: SARS-CoV-2 infection results in varying disease severity, ranging from asymptomatic infection to severe illness. A detailed understanding of the immune response to SARS-CoV-2 is critical to unravel the causative factors underlying differences in disease severity and to develop optimal vaccines against new SARS-CoV-2 variants. We combined single-cell RNA and T cell receptor sequencing with CITE-seq antibodies to characterize the CD8+ T cell response to SARS-CoV-2 infection at high resolution and compared responses between mild and severe COVID-19. We observed a population of exhausted CD8+ T cells in severe SARS-CoV-2 infection and identified a population of NK-like, terminally differentiated CD8+ effector T cells characterized by expression of FCGR3A (encoding CD16). Further characterization of NK-like CD8+ T cells revealed heterogeneity among CD16+ NK-like CD8+ T cells and profound differences in cytotoxicity, exhaustion, and NK-like differentiation between mild and severe disease conditions. We propose a model in which differences in the surrounding inflammatory milieu lead to crucial differences in NK-like differentiation of CD8+ effector T cells, ultimately resulting in the appearance of NK-like CD8+ T cell populations of different functionality and pathogenicity. Our in-depth characterization of the CD8+ T cell-mediated response to SARS-CoV-2 infection provides a basis for further investigation of the importance of NK-like CD8+ T cells in COVID-19 severity.
DOI: 10.5281/zenodo.6012114
title: Supplemental material of the Streptococcus pyogenes whole genome MLST schema deposited in Chewie-NS

description: This supplemental material includes the lists of accession numbers for the Blackwell et al. and NCBI RefSeq assemblies used to populate the whole genome MLST schema for <em>Streptococcus pyogenes</em>, the UniProt identifiers of the reference proteomes used for schema annotation and the set of complete genomes, and associated metadata, used for schema creation. The wgMLST schema was created with chewBBACA and is publicly available at chewie-NS, where a more detailed description of schema creation, annotation and curation can be found.
description: RM was supported by Fundação para a Ciência e Tecnologia (grant 2020.08493.BD). Partial support was received from ONEIDA project (LISBOA-01-0145-FEDER-016417) co-funded by FEEI – Fundos Europeus Estruturais e de Investimento from Programa Operacional Regional Lisboa 2020 and by national funds from FCT–Fundação para a Ciência e a Tecnologia, and by the LISBOA-01-0145-FEDER-007391 project, cofunded by FEDER through POR Lisboa 2020 –Programa Operacional Regional de Lisboa, PORTUGAL 2020, and Fundação para a Ciência e a Tecnologia.
description: {"references": ["Blackwell GA, Hunt M, Malone KM, Lima L, Horesh G, Alako BTF, Thomson NR, Iqbal Z. 2021. Exploring bacterial diversity via a curated and searchable snapshot of archived DNA sequences. PLoS Biol 19:e3001421.", "O'Leary NA, Wright MW, Brister JR, Ciufo S, Haddad D, McVeigh R, Rajput B, Robbertse B, Smith-White B, Ako-Adjei D, Astashyn A, Badretdin A, Bao Y, Blinkova O, Brover V, Chetvernin V, Choi J, Cox E, Ermolaeva O, Farrell CM, Goldfarb T, Gupta T, Haft D, Hatcher E, Hlavina W, Joardar VS, Kodali VK, Li W, Maglott D, Masterson P, McGarvey KM, Murphy MR, O'Neill K, Pujar S, Rangwala SH, Rausch D, Riddick LD, Schoch C, Shkeda A, Storz SS, Sun H, Thibaud-Nissen F, Tolstoy I, Tully RE, Vatsan AR, Wallin C, Webb D, Wu W, Landrum MJ, Kimchi A, Tatusova T, DiCuccio M, Kitts P, Murphy TD, Pruitt KD. 2016. Reference sequence (RefSeq) database at NCBI: current status, taxonomic expansion, and functional annotation. Nucleic Acids Res 44:D733-745.", "The UniProt Consortium. 2021. UniProt: the universal protein knowledgebase in 2021. Nucleic Acids Res 49:D480\u2013D489.", "Silva M, Machado MP, Silva DN, Rossi M, Moran-Gilad J, Santos S, Ramirez M, Carri\u00e7o JA. 2018. chewBBACA: A complete suite for gene-by-gene schema creation and strain identification. Microb Genom 4:e000166.", "Mamede R, Vila-Cerqueira P, Silva M, Carri\u00e7o JA, Ramirez M. 2021. Chewie Nomenclature Server (chewie-NS): a deployable nomenclature server for easy sharing of core and whole genome MLST schemas. Nucleic Acids Res 49:D660\u2013D666."]}
DOI: 10.5281/zenodo.6012113
title: Supplemental material of the Streptococcus pyogenes whole genome MLST schema deposited in Chewie-NS

description: This supplemental material includes the lists of accession numbers for the Blackwell et al. and NCBI RefSeq assemblies used to populate the whole genome MLST schema for <em>Streptococcus pyogenes</em>, the UniProt identifiers of the reference proteomes used for schema annotation and the set of complete genomes, and associated metadata, used for schema creation. The wgMLST schema was created with chewBBACA and is publicly available at chewie-NS, where a more detailed description of schema creation, annotation and curation can be found.
description: RM was supported by Fundação para a Ciência e Tecnologia (grant 2020.08493.BD). Partial support was received from ONEIDA project (LISBOA-01-0145-FEDER-016417) co-funded by FEEI – Fundos Europeus Estruturais e de Investimento from Programa Operacional Regional Lisboa 2020 and by national funds from FCT–Fundação para a Ciência e a Tecnologia, and by the LISBOA-01-0145-FEDER-007391 project, cofunded by FEDER through POR Lisboa 2020 –Programa Operacional Regional de Lisboa, PORTUGAL 2020, and Fundação para a Ciência e a Tecnologia.
description: {"references": ["Blackwell GA, Hunt M, Malone KM, Lima L, Horesh G, Alako BTF, Thomson NR, Iqbal Z. 2021. Exploring bacterial diversity via a curated and searchable snapshot of archived DNA sequences. PLoS Biol 19:e3001421.", "O'Leary NA, Wright MW, Brister JR, Ciufo S, Haddad D, McVeigh R, Rajput B, Robbertse B, Smith-White B, Ako-Adjei D, Astashyn A, Badretdin A, Bao Y, Blinkova O, Brover V, Chetvernin V, Choi J, Cox E, Ermolaeva O, Farrell CM, Goldfarb T, Gupta T, Haft D, Hatcher E, Hlavina W, Joardar VS, Kodali VK, Li W, Maglott D, Masterson P, McGarvey KM, Murphy MR, O'Neill K, Pujar S, Rangwala SH, Rausch D, Riddick LD, Schoch C, Shkeda A, Storz SS, Sun H, Thibaud-Nissen F, Tolstoy I, Tully RE, Vatsan AR, Wallin C, Webb D, Wu W, Landrum MJ, Kimchi A, Tatusova T, DiCuccio M, Kitts P, Murphy TD, Pruitt KD. 2016. Reference sequence (RefSeq) database at NCBI: current status, taxonomic expansion, and functional annotation. Nucleic Acids Res 44:D733-745.", "The UniProt Consortium. 2021. UniProt: the universal protein knowledgebase in 2021. Nucleic Acids Res 49:D480\u2013D489.", "Silva M, Machado MP, Silva DN, Rossi M, Moran-Gilad J, Santos S, Ramirez M, Carri\u00e7o JA. 2018. chewBBACA: A complete suite for gene-by-gene schema creation and strain identification. Microb Genom 4:e000166.", "Mamede R, Vila-Cerqueira P, Silva M, Carri\u00e7o JA, Ramirez M. 2021. Chewie Nomenclature Server (chewie-NS): a deployable nomenclature server for easy sharing of core and whole genome MLST schemas. Nucleic Acids Res 49:D660\u2013D666."]}
DOI: 10.34740/kaggle/dsv/4268003
title: COVID Vaccination in World (updated daily)
DOI: 10.6084/m9.figshare.21155506
title: MOFTransformer

description: - the pretrained model with 1M hMOFs (best_mtp_moc_vfp.ckpt) <br> - dataset for public database (qmof_v13_realse.tar.gz, coremof_release.tar.gz) <br> - downstream dataset for finetuning (downstream_dataset.tar.gz) <br> === Feature importance tutorial === - the finetuned model with PBE bandgap in QMOF database (with 20,135 structures) (finetuned_bandgap.ckpt) <br> - the finetuned model with H2 uptake (with 20,000 structures) (finetuned_h2_uptake.ckpt)
DOI: 10.6084/m9.figshare.21155506.v1
title: MOFTransformer

description: - The pretrained model with 1M hMOFs (best_mtp_moc_vfp.ckpt) <br> - dataset for public database (qmof_v13_realse.tar.gz, coremof_release.tar.gz) <br> - downstream dataset for finetuning (downstream_dataset.tar.gz)
DOI: 10.5281/zenodo.7129441
title: accipiter_virgatus_decontaminated_gx.fasta.gz

description: .
DOI: 10.5281/zenodo.7129440
title: accipiter_virgatus_decontaminated_gx.fasta.gz

description: .
DOI: 10.6084/m9.figshare.20278311
title: Supplementary Materials for Case Studies.

description: Supplementary Materials for mutual coordination of PDNs and WSNs.
DOI: 10.6084/m9.figshare.20278311.v3
title: Supplementary Materials for Case Studies.

description: Supplementary Materials for mutual coordination of PDNs and WSNs.
DOI: 10.6084/m9.figshare.20278311.v2
title: Supplementary Materials for Case Studies.

description: Supplementary Materials for mutual coordination of PDNs and WSNs.
DOI: 10.5281/zenodo.7129454
title: Supplementary Data for "Adoption of Transparency and Openness Promotion (TOP) guidelines across journals"

description: Supplementary data for: https://zenodo.org/record/7129250
DOI: 10.5281/zenodo.7129453
title: Supplementary Data for "Adoption of Transparency and Openness Promotion (TOP) guidelines across journals"

description: Supplementary data for: https://zenodo.org/record/7129250
DOI: 10.6084/m9.figshare.20383896
title: Classification of unstructured text in types of violence against women using text mining and Machine learning techniques

description: These are the data used for the development of the investigation. <br> This file was extracted from our mongoDB database. The data set contains real news of violence against women, which were organized with their date, the title and the body of the news.
DOI: 10.6084/m9.figshare.21252987
title: ViolenceAgainstWomen.json

description: These are the data used for the development of the investigation. This file was extracted from our mongoDB database. The data set contains real news of violence against women, which were organized with their date, the title and the body of the news.
DOI: 10.6084/m9.figshare.21252987.v1
title: ViolenceAgainstWomen.json

description: These are the data used for the development of the investigation. This file was extracted from our mongoDB database. The data set contains real news of violence against women, which were organized with their date, the title and the body of the news.
DOI: 10.5281/zenodo.7129482
title: geoglossum_cookeanum_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.7129481
title: geoglossum_cookeanum_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.7129470
title: A test closed source

description: Just a test
DOI: 10.5281/zenodo.7129469
title: A test closed source

description: Just a test