cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6560667
title: Figure data from "Breakdown of the velocity and turbulence in the wake of a wind turbine", parts 1 and 2

description: This python file makeFigure.py along with the .json files in folder Data/ allows to draw pictures corresponding to the articles "Breakdown of the velocity and turbulence in the wake of a wind turbine" - Part 1 and Part 2 published in Wind Energy Science. The .sh file makeFolders selects and separate the figures needed for the two parts. Slightly more informations are available in the data compared to the article, due to lack of space. In particular, one can found all the planes data from 1 to 8D downstream (instead of only 1D, 5D and 8D) and some data for the unstable and stable cases that were only shown for the neutral case in the paper. <br> Do not hesitate to contact me if more informations are needed.
DOI: 10.23729/58359a00-51fb-4e33-80a4-1f184d96298a
title: AM-NPP preview

description: Several additive manufactured 316L cylindrical samples for porosity characterization. XCT allows for more complete characterization of internal porosity than destructive methods. The purpose was to quantify the size and number of the pores as well as estimate the variation between samples. Preview of PAS-dataset https://doi.org/10.23729/defe0d9e-832a-4f88-9fb3-1364f25b02f4
DOI: 10.5281/zenodo.5775479
title: deleted

description: deleted.
DOI: 10.5281/zenodo.5775478
title: deleted

description: deleted.
DOI: 10.5281/zenodo.6487687
title: Dataset: The effect of hydrogen enrichment, flame-flame interaction, confinement, and asymmetry on the acoustic response of a model can combustor

description: Complementary dataset for the article: <strong>The effect of hydrogen enrichment, flame-flame interaction, confinement, and asymmetry on the acoustic response of a model can combustor.</strong> This document provides a brief description of datasets associated with the paper by Æsøy et al.<br> [1]. The datasets contain flame shapes, flame transfer functions (FTFs), and time series data for<br> perfectly premixed methane/hydrogen/air flames operated in a model can combustor (see [1] for<br> more details). The data is divided into four main categories listed below. Each of these are described<br> in the read-me file in the subsequent sub-folder. <strong>• FTF flame interaction:</strong> The level of flame interaction was systematically varied through<br> varying the spacing between flames and by varying the level of hydrogen enrichement of the<br> fuel.<br> <strong>• FTF confinement:</strong> The level of wall confinement was varied by varying the combustion<br> chamber diameter.<br> <strong>• FTF symmetry: </strong>The flame symmetry was varied through equipping the can with different<br> injector geometries.<br> <strong>• Time series:</strong> Time series data of pressure and heat release rate taken with different hydrogen<br> concentrations and combustion chamber lengths. [1] E. Æsøy, T. Indlekofer, F. Gant, A. Cuquel, M. R. Bothien, J. R. Dawson, The effect of hydrogen<br> enrichment, flame-flame interaction, confinement, and asymmetry on the acoustic response of a<br> model can combustor, Combustion and Flame 242 (2022) 112176.
DOI: 10.5281/zenodo.6487686
title: Dataset: The effect of hydrogen enrichment, flame-flame interaction, confinement, and asymmetry on the acoustic response of a model can combustor

description: Complementary dataset for the article: <strong>The effect of hydrogen enrichment, flame-flame interaction, confinement, and asymmetry on the acoustic response of a model can combustor.</strong> This document provides a brief description of datasets associated with the paper by Æsøy et al.<br> [1]. The datasets contain flame shapes, flame transfer functions (FTFs), and time series data for<br> perfectly premixed methane/hydrogen/air flames operated in a model can combustor (see [1] for<br> more details). The data is divided into four main categories listed below. Each of these are described<br> in the read-me file in the subsequent sub-folder. <strong>• FTF flame interaction:</strong> The level of flame interaction was systematically varied through<br> varying the spacing between flames and by varying the level of hydrogen enrichement of the<br> fuel.<br> <strong>• FTF confinement:</strong> The level of wall confinement was varied by varying the combustion<br> chamber diameter.<br> <strong>• FTF symmetry: </strong>The flame symmetry was varied through equipping the can with different<br> injector geometries.<br> <strong>• Time series:</strong> Time series data of pressure and heat release rate taken with different hydrogen<br> concentrations and combustion chamber lengths. [1] E. Æsøy, T. Indlekofer, F. Gant, A. Cuquel, M. R. Bothien, J. R. Dawson, The effect of hydrogen<br> enrichment, flame-flame interaction, confinement, and asymmetry on the acoustic response of a<br> model can combustor, Combustion and Flame 242 (2022) 112176.
DOI: 10.5281/zenodo.6560666
title: Figures data from papers "Breakdown of the velocity and turbulence in the wake of a wind turbine", parts 1 and 2

description: This python file makeFigure.py along with the .json files in folder Data/ allows to draw pictures corresponding to the articles "Breakdown of the velocity and turbulence in the wake of a wind turbine" - Part 1 and Part 2 published in Wind Energy Science. The .sh file makeFolders selects and separate the figures needed for the two parts. Slightly more informations are available in the data compared to the article, due to lack of space. In particular, one can found all the planes data from 1 to 8D downstream (instead of only 1D, 5D and 8D) and some data for the unstable and stable cases that were only shown for the neutral case in the paper. <br> Do not hesitate to contact me if more informations are needed.
DOI: 10.11583/dtu.19614276
title: ESMR Sea Ice Concentration dataset 1972-1977

description: The Electrically Scanning Microwave Radiometer (ESMR) on board the NIMBUS 5 satellite was a one channel 19.35 GHz horizontally polarized microwave radiometer operating from 11. Dec. 1972 to 16. May. 1977 (1617 days) with some interruptions. After a major data gap from 3. Jun. 1975 until 25. Aug. 1975 the instrument was only operated approximately every other day. The data have recently been made available online by NASA in the format which was used for the tape archive (TAP-files). <br> The experimental NIMBUS satellite programme was very successful and there is heritage from it in modern satellite programs and even though ESMR was a predecessor of modern multi-frequency radiometers there are still parts of modern processing methodologies which can be applied to the data to derive the sea ice extent globally. In fact both the dynamical tie-points and the atmospheric noise reduction of the brightness temperatures (Tb’s) can reduce the noise over both ice and open water consistently. These are also the reasons for reprocessing the data. The ESMR sea ice dataset extends the sea ice climate data record with an important period in the 1970s.
DOI: 10.11583/dtu.19614276.v1
title: ESMR Sea Ice Concentration dataset 1972-1977

description: The Electrically Scanning Microwave Radiometer (ESMR) on board the NIMBUS 5 satellite was a one channel 19.35 GHz horizontally polarized microwave radiometer operating from 11. Dec. 1972 to 16. May. 1977 (1617 days) with some interruptions. After a major data gap from 3. Jun. 1975 until 25. Aug. 1975 the instrument was only operated approximately every other day. The data have recently been made available online by NASA in the format which was used for the tape archive (TAP-files). <br> The experimental NIMBUS satellite programme was very successful and there is heritage from it in modern satellite programs and even though ESMR was a predecessor of modern multi-frequency radiometers there are still parts of modern processing methodologies which can be applied to the data to derive the sea ice extent globally. In fact both the dynamical tie-points and the atmospheric noise reduction of the brightness temperatures (Tb’s) can reduce the noise over both ice and open water consistently. These are also the reasons for reprocessing the data. The ESMR sea ice dataset extends the sea ice climate data record with an important period in the 1970s.
DOI: 10.17608/k6.auckland.19735810
title: Key to penguins in dataset

description: This is a key to the names and registration numbers of the penguins used in this dataset
DOI: 10.6084/m9.figshare.19792990
title: Untitled Item

description: datset 35000 images
DOI: 10.6084/m9.figshare.19792990.v1
title: Untitled Item

description: datset 35000 images
DOI: 10.5445/ir/1000145863
title: Contributing research data to the doctoral thesis "On Topological Mechanics of 3D Chiral Metamaterials"
DOI: 10.6084/m9.figshare.19793008
title: Datafile for all figures

description: This file contain the data of all the figures provided in the manuscript.
DOI: 10.6084/m9.figshare.19793008.v1
title: Datafile for all figures

description: This file contain the data of all the figures provided in the manuscript.
DOI: 10.5281/zenodo.6562784
title: Supplementary Material 2 of Chapter 6

description: Supplementary material 2 of chapter 6 of the doctoral thesis "Plastics as a vector of microorganisms in the aquatic environment". Taxonomic classification of all samples obtained from the sequencing of the gene region 16S rRNA.
DOI: 10.5281/zenodo.6562783
title: Supplementary Material 2 of Chapter 6

description: Supplementary material 2 of chapter 6 of the doctoral thesis "Plastics as a vector of microorganisms in the aquatic environment". Taxonomic classification of all samples obtained from the sequencing of the gene region 16S rRNA.
DOI: 10.6084/m9.figshare.19792948
title: Fragaria mitogenomes coding and noncoding regions alignment

description: The datasets are sequence alignment files of protein coding genes, introns and intergenic regions from 13 Fragaria mitochondrial genomes. The CDS data comprises 29 protein-coding genes shared by all Fragaria mitogenomes (excluding sdh4), the intronic data comprises 13 of the 14 cis-spliced introns (excluding nad1i4 in which matR is located), and the intergenic data comprises the homologous noncoding sequence with constraints of a minimal syntenic block length is 1 kb. Multinucleotide Variations(MNVs) were found in these alignment, so we also removed the MNVs from the three datasets.In the files without MNVs, we added the ancestor sequences of internal branches: IntNode23: (((F. daltoniana, F. corymbosa), (F. gracilis, F. tibetica)), (F. pentaphylla, F. nubicola)); IntNode15: (F. iturupensis, F.chiloensis); IntNode20: (F. daltoniana, F. corymbosa); IntNode21: (F.gracilis, F. tibetica); IntNode22: ((F. daltoniana, F. corymbosa), (F.gracilis, Ftibetica)); IntNode16: (F.orientalis, F. moschata); IntNode17: (F.mandschurica, F. viridis)
DOI: 10.6084/m9.figshare.19792948.v1
title: Fragaria mitogenomes coding and noncoding regions alignment

description: The datasets are sequence alignment files of protein coding genes, introns and intergenic regions from 13 Fragaria mitochondrial genomes. The CDS data comprises 29 protein-coding genes shared by all Fragaria mitogenomes (excluding sdh4), the intronic data comprises 13 of the 14 cis-spliced introns (excluding nad1i4 in which matR is located), and the intergenic data comprises the homologous noncoding sequence with constraints of a minimal syntenic block length is 1 kb. Multinucleotide Variations(MNVs) were found in these alignment, so we also removed the MNVs from the three datasets.In the files without MNVs, we added the ancestor sequences of internal branches: IntNode23: (((F. daltoniana, F. corymbosa), (F. gracilis, F. tibetica)), (F. pentaphylla, F. nubicola)); IntNode15: (F. iturupensis, F.chiloensis); IntNode20: (F. daltoniana, F. corymbosa); IntNode21: (F.gracilis, F. tibetica); IntNode22: ((F. daltoniana, F. corymbosa), (F.gracilis, Ftibetica)); IntNode16: (F.orientalis, F. moschata); IntNode17: (F.mandschurica, F. viridis)
DOI: 10.5519/qd.gc64wuiw
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5631 records)
DOI: 10.15156/bio/sh1263766.08fu
title: SH1263766.08FU

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/sh1263767.08fu
title: SH1263767.08FU

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/sh1263768.08fu
title: SH1263768.08FU

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/sh1263769.08fu
title: SH1263769.08FU

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/sh1263770.08fu
title: SH1263770.08FU

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/sh1263771.08fu
title: SH1263771.08FU

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/sh1263772.08fu
title: SH1263772.08FU

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: 10.25549/one-ouc16851274
title: Harry M., letters (1963)

description: Harry M., note with mailing address (1963)
DOI: 10.15156/bio/sh1263773.08fu
title: SH1263773.08FU

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/sh1263774.08fu
title: SH1263774.08FU

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/sh1263775.08fu
title: SH1263775.08FU

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.