cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7079669
title: QuaLiKiz-v2.6.2 turbulent transport model evaluations based on JET experimental plasma profiles

description: This dataset was used to train the QuaLiKiz-neural-network (QLKNN) model, QLKNN-jetexp-15D, described within the following published article: https://doi.org/10.1063/5.0038290. It was generated with approximately 33 million standalone evaluations of QuaLiKiz-v2.6.2, each performed with a standard vector of 18 wavenumbers. Only approximately 21 million of these are kept for training due to various consistency checks applied to the code outputs. More information about the QuaLiKiz code can be found at www.qualikiz.com. The data is saved under 3 keys in HDF5 format: "/input", "/output", and "/label". The inputs to the QuaLiKiz evaluations are provided under "/input", representing the local plasma parameters extracted from experimental measurements from the JET plasma device in Culham, UK, along with variations of select parameters according to propagated experimental uncertainties. Selected relevant outputs of the QuaLiKiz evaluations are provided under "/output", namely the local turbulent transport coefficients after applying a semi-empirical turbulent fluctuation saturation rule. Some useful metadata is provided under "/label", giving some degree of provenance tracking back to the JET experimental database, as well as describing the applied parameter variations and explaining why certain output rows were removed from the output structure.
description: The sole responsibility of this dataset belongs to A. Ho (contact: a.ho@differ.nl). Any further work performed using this dataset does have any affiliation with JET unless explicitly agreed-upon with the JET team, or with QuaLiKiz unless explicitly agreed-upon with the QuaLiKiz development team.
description: {"references": ["A. Ho et. al., \"Neural network surrogate of QuaLiKiz using JET experimental data to populate training space\", Physics of Plasmas 28, 032305 (2021) https://doi.org/10.1063/5.0038290"]}
DOI: 10.5281/zenodo.7079668
title: QuaLiKiz-v2.6.2 turbulent transport model evaluations based on JET experimental plasma profiles

description: This dataset was used to train the QuaLiKiz-neural-network (QLKNN) model, QLKNN-jetexp-15D, described within the following published article: https://doi.org/10.1063/5.0038290. It was generated with approximately 33 million standalone evaluations of QuaLiKiz-v2.6.2, each performed with a standard vector of 18 wavenumbers. Only approximately 21 million of these are kept for training due to various consistency checks applied to the code outputs. More information about the QuaLiKiz code can be found at www.qualikiz.com. The data is saved under 3 keys in HDF5 format: "/input", "/output", and "/label". The inputs to the QuaLiKiz evaluations are provided under "/input", representing the local plasma parameters extracted from experimental measurements from the JET plasma device in Culham, UK, along with variations of select parameters according to propagated experimental uncertainties. Selected relevant outputs of the QuaLiKiz evaluations are provided under "/output", namely the local turbulent transport coefficients after applying a semi-empirical turbulent fluctuation saturation rule. Some useful metadata is provided under "/label", giving some degree of provenance tracking back to the JET experimental database, as well as describing the applied parameter variations and explaining why certain output rows were removed from the output structure.
description: The sole responsibility of this dataset belongs to A. Ho (contact: a.ho@differ.nl). Any further work performed using this dataset does have any affiliation with JET unless explicitly agreed-upon with the JET team, or with QuaLiKiz unless explicitly agreed-upon with the QuaLiKiz development team.
description: {"references": ["A. Ho et. al., \"Neural network surrogate of QuaLiKiz using JET experimental data to populate training space\", Physics of Plasmas 28, 032305 (2021) https://doi.org/10.1063/5.0038290"]}
DOI: 10.6084/m9.figshare.21108625
title: SREP-22-01058A_ESR1,PGR,ERBB2_ER code IBC_ DCIS_ BC cells.xlsx

description: The <em><strong>g3mclass</strong></em> analyzed QG2 assay data for <em>ESR1, PGR,</em> and <em>ERBB2</em> expression is organized in columns. Left to right: id (ref), <em>ESR1</em> (ref), <em>PGR</em> (ref), and <em>ERBB2</em> (ref) for mammoplasty samples (n=34); id (test), <em>ESR1</em> (test), <em>PGR</em> (test), and <em>ERBB2</em> (test) for IBC samples (n=142); id (DCIS), <em>ESR1</em> (DCIS), <em>PGR</em> (DCIS), and <em>ERBB2</em> (DCIS) for the queried DCIS samples (n=75); id (BC cells), <em>ESR1</em> (BC cells), <em>PGR</em> (BC cells), and <em>ERBB2</em> (BC cells) for the queried human breast cancer cell lines (n=5).
DOI: 10.5281/zenodo.7079747
title: UrbanOccupationsOETR_1532_Ottoman_campaign_1840s_settlements_dataset

description: This dataset contains the data used for the below-mentioned publication of our transport network and least-cost path model. It analyzes 16th- and 19th-century transport networks between Istanbul and Sofia. The historical settlement data is based on work by the UrbanOccupationsOETR (https://urbanoccupations.ku.edu.tr/) and POPGEO_BG projects. If you would like to use the dataset for further publication, please use the credentials specified below: Kabadayi, M Erdem, Piet Gerrits, and Grigor Boykov. “Geospatial Mapping of a 16th Century Transport Corridor for Southeast Europe.” <em>Digital Scholarship in the Humanities</em> 37, no. 3 (2022): 788–812. https://doi.org/10.1093/llc/fqab084.
DOI: 10.5281/zenodo.7079746
title: UrbanOccupationsOETR_1532_Ottoman_campaign_1840s_settlements_dataset

description: This dataset contains the data used for the below-mentioned publication of our transport network and least-cost path model. It analyzes 16th- and 19th-century transport networks between Istanbul and Sofia. The historical settlement data is based on work by the UrbanOccupationsOETR (https://urbanoccupations.ku.edu.tr/) and POPGEO_BG projects. If you would like to use the dataset for further publication, please use the credentials specified below: Kabadayi, M Erdem, Piet Gerrits, and Grigor Boykov. “Geospatial Mapping of a 16th Century Transport Corridor for Southeast Europe.” <em>Digital Scholarship in the Humanities</em> 37, no. 3 (2022): 788–812. https://doi.org/10.1093/llc/fqab084.
DOI: 10.34740/kaggle/dsv/4204451
title: MyWSL2022
DOI: 10.34740/kaggle/dsv/4204520
title: Tales from the Pizza Guy
DOI: 10.6084/m9.figshare.21108865
title: apostichopus_leukothele_zanfona_1.fasta.gz

description: ......
DOI: 10.25921/btgd-2q36
title: EK60 Water Column Sonar Data Collected During EX2107
DOI: 10.5281/zenodo.6789017
title: Real-time dynamic single-molecule protein sequencing on an integrated semiconductor device

description: Supplementary data and code to accompany "Real-time dynamic single-molecule protein sequencing on an integrated semiconductor device".
DOI: 10.5281/zenodo.6789016
title: Real-time dynamic single-molecule protein sequencing on an integrated semiconductor device

description: Supplementary data and code to accompany "Real-time dynamic single-molecule protein sequencing on an integrated semiconductor device".
DOI: 10.6084/m9.figshare.21108976
title: NanoRTax pipeline output

description: This data consist of the NanoRTax (https://github.com/genomicsITER/NanoRTax) pipeline output for the 31 ICU tracheal aspirate samples analyzed in the complementary study. Taxonomic classification is based on Kraken2 tool with the NCBI RefSeq database containing only bacterial genomes. Reports show the number of reads assigned to an specific taxon at multiple levels. Diversity reports include total read count, Shannon and Simpson diversity indexes. Annotated reports and Kraken original report are also available.
DOI: 10.6084/m9.figshare.21108976.v2
title: NanoRTax pipeline output

description: This data consist of the NanoRTax (https://github.com/genomicsITER/NanoRTax) pipeline output for the 31 ICU tracheal aspirate samples analyzed in the complementary study. Taxonomic classification is based on Kraken2 tool with the NCBI RefSeq database containing only bacterial genomes. Reports show the number of reads assigned to an specific taxon at multiple levels. Diversity reports include total read count, Shannon and Simpson diversity indexes. Annotated reports and Kraken original report are also available.
DOI: 10.6084/m9.figshare.21108976.v1
title: NanoRTax pipeline output

description: This data consist of the NanoRTax (https://github.com/genomicsITER/NanoRTax) pipeline output for the 31 ICU tracheal aspirate samples analyzed in the complementary study. <br> Taxonomic classification is based on Kraken2 tool with the NCBI RefSeq database containing only bacterial genomes. <br> Reports show the number of reads assigned to an specific taxon at multiple levels. Diversity reports include total read count, Shannon and Simpson diversity indexes. Annotated reports and Kraken original report are also available.
DOI: 10.5517/ccdc.csd.cc27p0kj
title: CCDC 2075777: Experimental Crystal Structure Determination

description: Related Article: Xingxing Zhang, Guangyuan Liu, Yiyuan Peng, Hua Li, Yirong Zhou|2022|Eur.J.Org.Chem.|2022|e202200658|doi:10.1002/ejoc.202200658
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc27rrh8
title: CCDC 2078410: Experimental Crystal Structure Determination

description: Related Article: Xingxing Zhang, Guangyuan Liu, Yiyuan Peng, Hua Li, Yirong Zhou|2022|Eur.J.Org.Chem.|2022|e202200658|doi:10.1002/ejoc.202200658
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29z45m
title: CCDC 2144120: Experimental Crystal Structure Determination

description: Related Article: Xingxing Zhang, Guangyuan Liu, Yiyuan Peng, Hua Li, Yirong Zhou|2022|Eur.J.Org.Chem.|2022|e202200658|doi:10.1002/ejoc.202200658
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.57810/lattedata/51n0te
title: Origem, evolução e biogeografia das aves do Centro de Endemismo Pernambuco

description: Vide projeto anexo
DOI: 10.6084/m9.figshare.21109492
title: orphnurgus_asper_zanfona_1.fasta.gz

description: ........
DOI: 10.6084/m9.figshare.21109492.v1
title: orphnurgus_asper_zanfona_1.fasta.gz

description: ........
DOI: 10.5519/qd.ddhk6nty
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (6 records)
DOI: 10.5519/qd.fsh0oypp
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (6 records)
DOI: 10.6073/pasta/03e04e43c2c7bf4e514242345afea771
title: Temperature Measurements of Southern California Deserts 2022.

description: The following data was recorded at various desert field sites within Southern California. Data was collected between May 2022 and June 2022. 3 different deserts; Carrizo, Cuyama, and Mojave, were tested. Temperature pendants were deployed for 30 days and recorded local temperature at 1 hour intervals.
DOI: 10.17909/yzg9-mj62
title: Data from 2022 paper

description: F160W optical data on z=1.6 cluster galaxies
DOI: 10.5281/zenodo.7079909
title: Supplemental Dataset: Seismological evidence for girdled olivine lattice-preferred orientation in oceanic lithosphere and implications for mantle deformation processes during seafloor spreading

description: This repository contains supplementary datasets for the manuscript titled "Seismological evidence for girdled olivine lattice-preferred orientation in oceanic lithosphere and implications for mantle deformation processes during seafloor spreading", published in G-Cubed. All files are Microsoft Excel tables containing olivine fabric data. ds01_strain_data_ol60.xlsx: Anisotropy magnitude and fast directions for sample data shown in Figure 3 of the main text, assuming 60% olivine and 40% pyroxene (see methods for details). ds02_strain_data_ol100.xlsx: Anisotropy magnitude and fast directions for sample data shown in Figure 3 of the main text, assuming pure olivine. ds03_fabric_data_ol75.xlsx: Anisotropy fabric data shown in Figure 5 of the main text, assuming 75% olvine and 25% pyroxene (see methods for details). ds04_fabric_data_ol100.xlsx: Anisotropy fabric data shown in Figure 5 of the main text, assuming pure olivine.
DOI: 10.5281/zenodo.7079908
title: Supplemental Dataset: Seismological evidence for girdled olivine lattice-preferred orientation in oceanic lithosphere and implications for mantle deformation processes during seafloor spreading

description: This repository contains supplementary datasets for the manuscript titled "Seismological evidence for girdled olivine lattice-preferred orientation in oceanic lithosphere and implications for mantle deformation processes during seafloor spreading", published in G-Cubed. All files are Microsoft Excel tables containing olivine fabric data. ds01_strain_data_ol60.xlsx: Anisotropy magnitude and fast directions for sample data shown in Figure 3 of the main text, assuming 60% olivine and 40% pyroxene (see methods for details). ds02_strain_data_ol100.xlsx: Anisotropy magnitude and fast directions for sample data shown in Figure 3 of the main text, assuming pure olivine. ds03_fabric_data_ol75.xlsx: Anisotropy fabric data shown in Figure 5 of the main text, assuming 75% olvine and 25% pyroxene (see methods for details). ds04_fabric_data_ol100.xlsx: Anisotropy fabric data shown in Figure 5 of the main text, assuming pure olivine.
DOI: 10.18430/m38ees
title: X-ray diffraction data for the crystal structure of 3-deoxy-manno-octulosonate cytidylyltransferase from Klebsiella pneumoniae (8EES)
DOI: 10.25318/82-003-x202200900001-eng
title: Compliance with precautions to reduce the spread of COVID-19 in Canada

description: Throughout the COVID-19 pandemic, Canadian public health officials have mandated and recommended precautions to slow the spread of COVID-19. This study examined which population groups were less compliant with precautions, such as mask-wearing and self-isolating, and where they were located in Canada.
DOI: 10.25318/82-003-x202200900001-fra
title: Respect des précautions à prendre pour réduire la propagation de la COVID-19 au Canada

description: Tout au long de la pandémie de COVID-19, les responsables de la santé publique au Canada ont exigé et recommandé des mesures de précaution pour ralentir la propagation de la COVID-19. La présente étude a permis d'examiner quels groupes de population se conformaient moins aux mesures de précaution, comme le port du masque et l'isolement, et l'endroit où ils se trouvaient au Canada.
DOI: 10.25318/82-003-x202200900002-eng
title: Linkage of the nationally representative Canadian Community Health Survey - Nutrition 2004 to routinely collected mortality records

description: National health surveys and vital statistics registries are the cornerstones of surveillance, monitoring and policy development in most developed countries. This cohort profile describes the linkage of the Canadian Community Health Survey - Nutrition (2004) to the Canadian Vital Statistics - Death Database (2011). Further, the authors demonstrate how these data can be used in terms of potential analysis strategies, and discuss their strengths and limitations-considerations that could apply to any national nutrition survey worldwide.
DOI: 10.25318/82-003-x202200900002-fra
title: Couplage des données représentatives à l'échelle nationale de l'Enquête sur la santé dans les collectivités canadiennes - Nutrition de 2004 et des enregistrements de mortalité recueillis régulièrement

description: Les enquêtes nationales sur la santé et les registres de l'état civil sont les pierres angulaires de la surveillance, du suivi et de l'élaboration de politiques dans la plupart des pays développés. Ce profil de cohorte décrit le couplage des données de l'Enquête sur la santé dans les collectivités canadiennes - Nutrition (2004) et de la Base canadienne de données de l'état civil - Décès (2011). De plus, les auteurs démontrent la façon dont ces données peuvent être utilisées pour ce qui est des stratégies d'analyse potentielles, et discutent de leurs forces et de leurs limites - des considérations qui pourraient s'appliquer à n'importe quelle enquête nationale sur la nutrition à l'échelle mondiale.
DOI: 10.6084/m9.figshare.19660614.v1
title: Prepared species distributions

description: Raster layers representing 31 species/population distributions that were prepared for: Johnson, C.A., Drever, R., Kirby, P. Neave, E. and Martin, A. Solving multiple conservation challenges with one action: can protecting boreal caribou habitat in Canada conserve biodiversity and combat climate change? See <strong>Read_me.pdf</strong> for full description. These prepared distributions were later combined with select distributions from the ‘Range map extents, species at risk, Canada’ dataset (ECCC, 2016) to estimate species richness, taxonomic diversity, and presence of species considered to be unique to the boreal caribou distribution. Most of the prepared distributions, provided here, were based on georeferencing maps/figures in status reports and hand digitizing the distribution. Others are based on assembling National Hydro Network work units to re-create distributions in status reports. Some distributions are based on convex hull generation around map features, similar to extent of occurrence boundaries. For hand digitized distributions, rather than tracing all shorelines, islands, administrative boundaries, or other features, some supplementary layers from the Atlas of Canada data sets were used (see Read_me.pdf: ‘Supporting layers, used in species distribution preparation’ section for layers used). <strong>NOTE</strong>: These distributions are not official representations of any given species or population. Many were heavily generalized in the source maps. Additional spatial error was introduced during map georeferencing and digitizing. <br> <br>
DOI: 10.6084/m9.figshare.19660614
title: Prepared species distributions

description: Raster layers representing 31 species/population distributions that were prepared for: Johnson, C.A., Drever, R., Kirby, P. Neave, E. and Martin, A. E. Protecting boreal caribou habitat can help conserve biodiversity and safeguard large quantities of soil carbon in Canada See <strong>Read_me.pdf</strong> for full description. These prepared distributions were later combined with select distributions from the ‘Range map extents, species at risk, Canada’ dataset (ECCC, 2016) to estimate species richness, taxonomic diversity, and presence of species considered to be unique to the boreal caribou distribution. Most of the prepared distributions, provided here, were based on georeferencing maps/figures in status reports and hand digitizing the distribution. Others are based on assembling National Hydro Network work units to re-create distributions in status reports. Some distributions are based on convex hull generation around map features, similar to extent of occurrence boundaries. For hand digitized distributions, rather than tracing all shorelines, islands, administrative boundaries, or other features, some supplementary layers from the Atlas of Canada data sets were used (see Read_me.pdf: ‘Supporting layers, used in species distribution preparation’ section for layers used). <strong>NOTE</strong>: These distributions are not official representations of any given species or population. Many were heavily generalized in the source maps. Additional spatial error was introduced during map georeferencing and digitizing. <br> <br>
DOI: 10.25318/82-003-x202200900003-eng
title: An analysis of cannabis home cultivation and associated risks in Canada, before and after legalization

description: In 2018, Canada legalized the use and sale of non-medical cannabis, with most provinces also permitting home cultivation. To advance the knowledge of home cultivation patterns in Canada within the context of legalization, this study examines (1) the demographics and use patterns of cannabis home growers before and after legalization and (2) the relationship between home cultivation and cannabis-related risks, including workplace use and driving after cannabis use.
DOI: 10.25318/82-003-x202200900003-fra
title: Une analyse de la culture du cannabis à domicile et des risques connexes au Canada, avant et après la légalisation

description: En 2018, le Canada a légalisé la consommation et la vente de cannabis à des fins non médicales, la plupart des provinces permettant également la culture à domicile. Afin de faire progresser les connaissances sur les habitudes de culture à domicile au Canada dans le contexte de la légalisation, la présente étude porte sur 1) les tendances démographiques et les tendances de consommation des producteurs de cannabis à domicile avant et après la légalisation, ainsi que sur 2) la relation entre la culture à domicile et les risques liés au cannabis, y compris la consommation en milieu de travail et la conduite après consommation de cannabis.
DOI: 10.5281/zenodo.7079984
title: A mule deer's movements in the summer of 2016 in Wyoming, USA, and a set of associated environmental layers

description: These are the data associated with the paper "Defining Null Expectations for Animal Site Fidelity" by Picardi et al. The file muledeer_summer2016.rds is a data frame containing GPS tracking data for one individual mule deer during the summer of 2016 in Wyoming, USA. The file env_stack_issa.tiff is a raster stack containing environmental layers for the landscape where the mule deer was located. The layers in the stack are, in order: distance to roads (meters), distance to streams, rivers, or water bodies (meters), elevation (meters), slope (degrees), aspect (), topographic position index, terrain ruggedness index, roughness, percent tree cover, and forage biomass.
DOI: 10.5281/zenodo.7079983
title: A mule deer's movements in the summer of 2016 in Wyoming, USA, and a set of associated environmental layers

description: These are the data associated with the paper "Defining Null Expectations for Animal Site Fidelity" by Picardi et al. The file muledeer_summer2016.rds is a data frame containing GPS tracking data for one individual mule deer during the summer of 2016 in Wyoming, USA. The file env_stack_issa.tiff is a raster stack containing environmental layers for the landscape where the mule deer was located. The layers in the stack are, in order: distance to roads (meters), distance to streams, rivers, or water bodies (meters), elevation (meters), slope (degrees), aspect (), topographic position index, terrain ruggedness index, roughness, percent tree cover, and forage biomass.
DOI: 10.6084/m9.figshare.21109882
title: palythoa_mutuki_zanfona_1.fasta.gz

description: .......
DOI: 10.6084/m9.figshare.21109882.v1
title: palythoa_mutuki_zanfona_1.fasta.gz

description: .......