cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26180/20399691
title: The citation records of the top ten journals from 2002 and 2021 from 2000 through 2021.

description: The citation records of the top ten journals in the Web of Science "Water Resources" category from 2002 and 2021 from 2000 through 2021. The abbreviations stand for: WRR : Water Resources Research AWR : Advances in Water Resources WR : Water Research CCM : Clays and Clay Minerals JCH : Journal of Contaminant Hydrology RRRM : Regulated Rivers-Research & Management JoH : Journal of Hydrology HSJ : Hydrological Sciences Journal-Journal des Sciences Hydrologiques GW : Ground Water HP : Hydrological Processes NPJCW : npj Clean Water DESAL : Desalination WRX : Water Research X EH : Exposure and Health ISWCR : International Soil and Water Conservation Research WIRW : Wiley Interdisciplinary Reviews-Water JWPE : Journal of Water Process Engineering HESS : Hydrology and Earth System Sciences <br>
DOI: 10.26180/20399691.v1
title: The citation records of the top ten journals from 2002 and 2021 from 2000 through 2021.

description: The citation records of the top ten journals in the Web of Science "Water Resources" category from 2002 and 2021 from 2000 through 2021. The abbreviations stand for: WRR : Water Resources Research AWR : Advances in Water Resources WR : Water Research CCM : Clays and Clay Minerals JCH : Journal of Contaminant Hydrology RRRM : Regulated Rivers-Research & Management JoH : Journal of Hydrology HSJ : Hydrological Sciences Journal-Journal des Sciences Hydrologiques GW : Ground Water HP : Hydrological Processes NPJCW : npj Clean Water DESAL : Desalination WRX : Water Research X EH : Exposure and Health ISWCR : International Soil and Water Conservation Research WIRW : Wiley Interdisciplinary Reviews-Water JWPE : Journal of Water Process Engineering HESS : Hydrology and Earth System Sciences <br>
DOI: 10.5281/zenodo.6946132
title: Monthly CDIP:MOP-alongshore modeled wave statistics for California, January 2000 - July 2022

description: <strong>Overview</strong> Monthly wave averages for all 11,594 CDIPS-MOPS alongshore sites in California. Jan 2000 to July 2022 inclusive Sites are defined in the files "CDIP_Transects.csv" and "CDIP_Transects.geojson". The bounds of each site are listed in the file "CA_region_bounds.csv" Data are described here: https://cdip.ucsd.edu/documents/index/product_docs/mops/mop_intro.html Data are obtained from here: https://thredds.cdip.ucsd.edu/thredds/catalog.html <strong>Methods</strong> Data are computed from hourly inshore wave hindcasts and nowcasts. Data download script is the file "CDIP_MassDownloader.ipynb" wave summary statistics have been computed using the file "Create_stats.ipynb". All monthly data are simple averages (i.e. mean values) of the hourly data <strong>Data files</strong> Data have been split into 25 regions, defined in "CA_regions.json" Data are provided in geoJSON format, in the form of one file per region, and one file for all regions <strong>Data fields</strong> Hs: significant wave height [meters] Tp: peak wave period [seconds] Ta: average wave period [seconds] Dp: peak wave direction [degrees] Da: average wave direction [degrees] Ea: wave energy density, averaged over wave frequencies Es: wave energy density, summed over wave frequencies QC: quality flag waveTime: UTC time string metaWaterDepth: water depth of modeled wave data (range is 10-15m)
DOI: 10.5281/zenodo.6946131
title: Monthly CDIP:MOP-alongshore modeled wave statistics for California, January 2000 - July 2022

description: <strong>Overview</strong> Monthly wave averages for all 11,594 CDIPS-MOPS alongshore sites in California. Jan 2000 to July 2022 inclusive Sites are defined in the files "CDIP_Transects.csv" and "CDIP_Transects.geojson". The bounds of each site are listed in the file "CA_region_bounds.csv" Data are described here: https://cdip.ucsd.edu/documents/index/product_docs/mops/mop_intro.html Data are obtained from here: https://thredds.cdip.ucsd.edu/thredds/catalog.html <strong>Methods</strong> Data are computed from hourly inshore wave hindcasts and nowcasts. Data download script is the file "CDIP_MassDownloader.ipynb" wave summary statistics have been computed using the file "Create_stats.ipynb". All monthly data are simple averages (i.e. mean values) of the hourly data <strong>Data files</strong> Data have been split into 25 regions, defined in "CA_regions.json" Data are provided in geoJSON format, in the form of one file per region, and one file for all regions <strong>Data fields</strong> Hs: significant wave height [meters] Tp: peak wave period [seconds] Ta: average wave period [seconds] Dp: peak wave direction [degrees] Da: average wave direction [degrees] Ea: wave energy density, averaged over wave frequencies Es: wave energy density, summed over wave frequencies QC: quality flag waveTime: UTC time string metaWaterDepth: water depth of modeled wave data (range is 10-15m)
DOI: 10.17909/8zvx-q833
title: Cluster Cepheid Data Cycle 29
DOI: 10.6084/m9.figshare.3761562.v2296
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.34740/kaggle/dsv/3981714
title: ECB speeches etc. 1997 to 2022-07-31
DOI: 10.6084/m9.figshare.20359347
title: Expanding the genomes insight of Streptococcus thermophilus phages through a multifaceted approach.

description: <strong>Supplementary Information (SI)</strong>. This dataset includes the SI files that contain all supplementary Figures and Tables. <br> <strong>Reference:</strong> Batalha, L.S.; Vidigal, P.M.P.; Gontijo, M.T.P.; Eller, M.R. Expanding the genomes insight of Streptococcus thermophilus phages through a multifaceted approach. <strong>Research, Society and Development</strong>, <em>[S. l.]</em>, v. 11, n. 10, p. e273111032693, 2022. http://dx.doi.org/10.33448/rsd-v11i10.32693 <br> <strong>Acknowledgments:</strong> <br> This research was funded by Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) (grant ID 409972/2018-5). Laís S. Batalha received a PhD Sandwich Scholarship from Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES). We are grateful to the Núcleo de Análise de Biomoléculas (NuBioMol) of the Universidade Federal de Viçosa (UFV) for providing the facilities for the conduction of the experiments and data analysis. NuBioMol is financially supported by the following Brazilian agencies: Fundação de Amparo à Pesquisa do Estado de Minas Gerais (Fapemig), Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Financiadora de Estudos e Projetos (Finep) and Sistema Nacional de Laboratórios em Nanotecnologias (SisNANO)/Ministério da Ciência, Tecnologia e Informação (MCTI).<br>
DOI: 10.6084/m9.figshare.20359347.v1
title: Expanding the genomes insight of Streptococcus thermophilus phages through a multifaceted approach.

description: <strong>Supplementary Information (SI)</strong>. This dataset includes the SI files that contain all supplementary Figures and Tables. <br> <strong>Reference:</strong> Batalha, L.S.; Vidigal, P.M.P.; Gontijo, M.T.P.; Eller, M.R. Expanding the genomes insight of Streptococcus thermophilus phages through a multifaceted approach. <strong>Research, Society and Development</strong>, <em>[S. l.]</em>, v. 11, n. 10, p. e273111032693, 2022. http://dx.doi.org/10.33448/rsd-v11i10.32693 <br> <strong>Acknowledgments:</strong> <br> This research was funded by Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) (grant ID 409972/2018-5). Laís S. Batalha received a PhD Sandwich Scholarship from Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES). We are grateful to the Núcleo de Análise de Biomoléculas (NuBioMol) of the Universidade Federal de Viçosa (UFV) for providing the facilities for the conduction of the experiments and data analysis. NuBioMol is financially supported by the following Brazilian agencies: Fundação de Amparo à Pesquisa do Estado de Minas Gerais (Fapemig), Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Financiadora de Estudos e Projetos (Finep) and Sistema Nacional de Laboratórios em Nanotecnologias (SisNANO)/Ministério da Ciência, Tecnologia e Informação (MCTI).<br>
DOI: 10.6084/m9.figshare.20409096
title: COVID-19 Associated Pulmonary Aspergillosis Isolates are genomically diverse but are more similar to each other in their responses to infection-relevant stresses

description: Secondary infections caused by the pulmonary fungal pathogen <em>Aspergillus fumigatus</em> are a significant cause of mortality in patients with severe COVID-19. Even though epithelial cell damage and aberrant cytokine responses have been linked with susceptibility to coronavirus associated pulmonary aspergillosis (CAPA), little is known about the mechanisms underpinning co-pathogenicity. Here, we analysed the genomes of 11 <em>A. fumigatus</em> strains from patients with CAPA in four different clinical settings. CAPA isolates are genomically diverse but are phenotypically similar across infection-relevant stresses. Phenotypically, CAPA strains are more similar to the <em>A. fumigatus</em> A1160 reference strain except for interactions with human immune cells wherein macrophage responses were similar to those induced by the Af293 reference strain. In contrast to previous reports, CAPA strains did not cluster based on geographic origin. A larger number of isolates from CAPA patients should be studied to identify genetic drivers of co-pathogenicity in patients with COVID-19. <br> This dataset contains the genome assemblies and annotations used in the manuscript.
DOI: 10.5281/zenodo.6946345
title: Classroom: Python based Artificial Intelligence

description: Dataset for deep learning training course 1) Heart Segmentation of ventricles 2) ImageNet 3) CIFAR10 Npz, tfrecords dataset type
DOI: 10.5281/zenodo.6942449
title: Classroom: Python based Artificial Intelligence

description: Dataset for deep learning training course 1) Heart Segmentation of ventricles 2) ImageNet 3) CIFAR10 Npz, tfrecords dataset type
DOI: 10.5281/zenodo.6594833
title: Data release: Genomic evidence of contemporary hybridization between Schistosoma species

description: This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see https://www.sanger.ac.uk/about/who-we-are/research-policies/open-access-science/ Please contact Duncan Berger (db22@sanger.ac.uk) with questions regarding pre-publication use of this dataset. SchCurr1.primary.fa - <em>Schistosoma curassoni</em> primary genome assembly SchCurr1.haplotypes.fa - Haplotype variants (unphased from SchCurr1.primary.fa) SchCurr1.primary.fa.tbl - RepeatMasker2 output (run on the primary assembly). allchrs.vcf.gz - All variants called on chromosomes 1-7+Z (Post quality control, with the exception that variants found within repetitive regions are included) MITO.vcf.gz - All mitochondrial variants. SchCurr1.genomethreader.gff3 - Genomethreader based gene structure predictions (based on spliced alignments of <em>S. mansoni</em> (v9) transcript and protein sequences).
DOI: 10.5281/zenodo.5154270
title: Data release: Genomic evidence of contemporary hybridization between Schistosoma species

description: This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see https://www.sanger.ac.uk/about/who-we-are/research-policies/open-access-science/ Please contact Duncan Berger (db22@sanger.ac.uk) with questions regarding pre-publication use of this dataset. SchCurr1.primary.fa - <em>Schistosoma curassoni</em> primary genome assembly SchCurr1.haplotypes.fa - Haplotype variants (unphased from SchCurr1.primary.fa) SchCurr1.primary.fa.tbl - RepeatMasker2 output (run on the primary assembly). allchrs.vcf.gz - All variants called on chromosomes 1-7+Z (Post quality control, with the exception that variants found within repetitive regions are included) MITO.vcf.gz - All mitochondrial variants. SchCurr1.genomethreader.gff3 - Genomethreader based gene structure predictions (based on spliced alignments of <em>S. mansoni</em> (v9) transcript and protein sequences).
DOI: 10.5281/zenodo.6946396
title: Coding and noncoding genes involved in atrophy and compensatory muscle growth in Nile Tilapia

description: <strong>Electronic Supplementary Material</strong><strong>: </strong>Supplementary Table S1;Supplementary Table S2;Supplementary Table S3
DOI: 10.5281/zenodo.6946395
title: Coding and noncoding genes involved in atrophy and compensatory muscle growth in Nile Tilapia

description: <strong>Electronic Supplementary Material</strong><strong>: </strong>Supplementary Table S1;Supplementary Table S2;Supplementary Table S3
DOI: 10.6084/m9.figshare.20409156
title: Database

description: Project database.
DOI: 10.6084/m9.figshare.20409156.v2
title: Database

description: Project database.
DOI: 10.6084/m9.figshare.20409156.v1
title: Database

description: Project database.
DOI: 10.6084/m9.figshare.19919703.v3
title: How six optometry institutions in the Asia-Pacific region adapted their teachings during the COVID-19 pandemic

description: How six optometry institutions in the Asia-Pacific region adapted their teachings during the COVID-19 pandemic
DOI: 10.6084/m9.figshare.19919703
title: How six optometry institutions in the Asia-Pacific region adapted their teachings during the COVID-19 pandemic

description: How six optometry institutions in the Asia-Pacific region adapted their teachings during the COVID-19 pandemic
DOI: 10.6084/m9.figshare.19919703.v2
title: How six optometry institutions in the Asia-Pacific region adapted their teachings during the COVID-19 pandemic

description: How six optometry institutions in the Asia-Pacific region adapted their teachings during the COVID-19 pandemic
DOI: 10.5519/qd.dg8azuld
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (993656 records)
DOI: 10.15468/gq5md5
title: Global Register of Introduced and Invasive Species - Vava'u group, Tonga

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: 10.15468/v3p6bn
title: Global Register of Introduced and Invasive Species - Ha'apai group, Tonga

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: 10.15468/n3dnaw
title: Global Register of Introduced and Invasive Species - Niua Islands, Tonga

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: 10.15468/sutkv8
title: Global Register of Introduced and Invasive Species - Tongatapu Island, Tonga

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: 10.6084/m9.figshare.20409273
title: DataBases

description: Project databases are attached
DOI: 10.3886/e176462
title: The mortality risk of being overweight in the twentieth century: Evidence from two cohorts of New Zealand men

description: The data files and programs in this project are
description: Presence of Common Scales: Height: Measured originally in feet and inches, and converted to metric<br>Weight: Measured originally in stone and pounds, and converted to metric<br>Life span: Measured in years
description: Male New Zealand soldiers enlisting in either World War I or World War II, and surviving to the beginning of a follow-up period, defined as either 1 January 1920 onwards (WWI) or 1 January 1946 (WWII).
DOI: 10.3886/e176462v1
title: The mortality risk of being overweight in the twentieth century: Evidence from two cohorts of New Zealand men

description: The data files and programs in this project are
description: Presence of Common Scales: Height: Measured originally in feet and inches, and converted to metric<br>Weight: Measured originally in stone and pounds, and converted to metric<br>Life span: Measured in years
description: Male New Zealand soldiers enlisting in either World War I or World War II, and surviving to the beginning of a follow-up period, defined as either 1 January 1920 onwards (WWI) or 1 January 1946 (WWII).
DOI: 10.34740/kaggle/dsv/4012892
title: Tales from the Pizza Guy
DOI: 10.15156/bio/sh345436.07fu
title: SH345436.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1709931.08fu
title: SH1709931.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1709932.08fu
title: SH1709932.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.