cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive158913.20240510.9
title: Clostridium innocuum Smith and King 1962

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158914.20240510.9
title: Clostridium paraputrificum (Bienstock 1906) Snyder 1936

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158915.20240916.9.1
title: Clostridium perfringens (Veillon and Zuber 1898) Hauduroy et al. 1937

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158916.20240916.9.1
title: Clostridium sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158917.20240916.9.1
title: Clostridium sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158918.20240510.9
title: Lacrimispora sphenoides (Douglas et al. 1919) Haas and Blanchard 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158919.20240510.9
title: Clostridium symbiosum (Stevens 1956) Kaneuchi et al. 1976

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158920.20240916.9.1
title: Corynebacterium ammoniagenes (Cooke and Keith 1927) Collins 1987 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158921.20240916.9.1
title: Corynebacterium xerosis (Lehmann and Neumann 1896) Lehmann and Neumann 1899 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158922.20240916.9.1
title: Mogibacterium kristiansenii

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158923.20240916.9.1
title: Desulfovibrio piger (Moore et al. 1976) Loubinoux et al. 2002

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158924.20240916.9.1
title: Cutibacterium modestum Dekio et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158925.20240510.9
title: Desulfovibrio sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158926.20240916.9.1
title: Desulfuromonas sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158927.20240916.9.1
title: Dialister hominis Sakamoto et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158928.20240916.9.1
title: Pectobacterium zantedeschiae Waleront al. 2019

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158929.20240510.9
title: Nonomuraea deserti Saygin et al. 2019

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158930.20240510.9
title: Streptomyces thermoalkaliphilus Wu et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158931.20240916.9.1
title: Enterococcus faecalis (Andrewes and Horder 1906) Schleifer and Kilpper-Bälz 1984

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158932.20240510.9
title: Enterococcus faecalis (Andrewes and Horder 1906) Schleifer and Kilpper-Bälz 1984

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158933.20240916.9.1
title: Enterococcus faecium (Orla-Jensen 1919) Schleifer and Kilpper-Bälz 1984

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158934.20240916.9.1
title: Enterococcus faecium (Orla-Jensen 1919) Schleifer and Kilpper-Bälz 1984

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15468/dl.rsrhcu
title: Occurrence Download

description: A dataset containing 4949 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tribolium castaneum (Herbst, 1797)"
 ]
}

 The dataset includes 4949 records from 223 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060721-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14469/hpc/11426
title: Primary crystal structure data for Compound 58. Bis(ethanol) bis((4-(ethoxycarbonyl)-1-phenyl-1H-pyrazol-5-yl)oxy)nickel
DOI: 10.14469/hpc/11428
title: Primary crystal structure data for Compound 60. Bis(ethanol) bis((4-(ethoxycarbonyl)-1H-pyrazol-5-yl)oxy)nickel
DOI: 10.5258/soton/d2684
title: Dataset for article 'Core-Shell Structured LiFePO4/C Nanocomposite Battery Material for Lithium Production from Brines'

description: This dataset supports the publication:
AUTHORS: Min Zhang, Nuria Garcia-Araez
TITLE: Core-Shell Structured LiFePO4/C Nanocomposite Battery Material for Lithium Production from Brines
JOURNAL: Electrochimica Acta
PAPER DOI: 10.1016/j.electacta.2024.144686

This dataset contains:
Data shown in figures 1, 2, 4, 4, 5, 6, 7, S1, S2, S3, S4, S5, S6, S7 and S8
DOI: 10.14469/hpc/11429
title: Primary crystal structure data for Compound 61. Sodium(I) tetrakis((4-(ethoxycarbonyl)-1-(4-methoxybenzyl)-1H-pyrazol-5-yl)oxy)lanthanum
DOI: 10.5517/ccdc.csd.cc2d6qs4
title: CCDC 2211006: Experimental Crystal Structure Determination

description: Related Article: Thomas Mies, Andrew J. P. White, Henry S. Rzepa, Luciano Barluzzi, Mohit Devgan, Richard A. Layfield, Anthony G. M. Barrett|2023|Inorg.Chem.|62|13253|doi:10.1021/acs.inorgchem.3c01506
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.cc2d6qt5
title: CCDC 2211007: Experimental Crystal Structure Determination

description: Related Article: Thomas Mies, Andrew J. P. White, Henry S. Rzepa, Luciano Barluzzi, Mohit Devgan, Richard A. Layfield, Anthony G. M. Barrett|2023|Inorg.Chem.|62|13253|doi:10.1021/acs.inorgchem.3c01506
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: 10.5281/zenodo.12509812
title: Dataset: Cultural Openness and desire to learn regarding language education: systematic review

description: Documental Dataset belonging to the Conference presentation titled:



Cultural Openness and desire to learn regarding language education: systematic review. 

The complete reference is: Peña-Acuña, B. (2024). Cultural Openness and desire to learn regarding language education: systematic review The thirty first international Conference of Learning. Utrech, The Netherlands. July 2024.
DOI: 10.5281/zenodo.12509813
title: Dataset: Cultural Openness and desire to learn regarding language education: systematic review

description: Documental Dataset belonging to the Conference presentation titled:



Cultural Openness and desire to learn regarding language education: systematic review. 

The complete reference is: Peña-Acuña, B. (2024). Cultural Openness and desire to learn regarding language education: systematic review The thirty first international Conference of Learning. Utrech, The Netherlands. July 2024.
DOI: 10.15468/dl.842k5g
title: Occurrence Download

description: A dataset containing 18021 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Solidago altissima var. pluricephala M.C.Johnst., Solidago altissima var. procera (Aiton) Fernald, Solidago altissima var. canescens (A.Gray) M.C.Johnst., Solidago altissima L.)"
 ]
}

 The dataset includes 18021 records from 347 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019081-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3bwe7z
title: Occurrence Download

description: A dataset containing 191 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Material sample)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Polylepis subsericans J.F.Macbr."
 ]
}

 The dataset includes 191 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019082-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2d6qv6
title: CCDC 2211008: Experimental Crystal Structure Determination

description: Related Article: Thomas Mies, Andrew J. P. White, Henry S. Rzepa, Luciano Barluzzi, Mohit Devgan, Richard A. Layfield, Anthony G. M. Barrett|2023|Inorg.Chem.|62|13253|doi:10.1021/acs.inorgchem.3c01506
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: 10.14469/hpc/11435
title: Primary crystal structure data for Compound 65. Sodium(I) tetrakis((4-(ethoxycarbonyl)-1-(4-methoxybenzyl)-1H-pyrazol-5-yl)oxy)dysprosium
DOI: 10.15468/dl.69qctg
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Material sample)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Polylepis acomayensis T.Boza & M.Kessler"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019083-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.skqazr
title: Occurrence Download

description: A dataset containing 90 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Polylepis incarum (Bitter) M.Kessler & Schmidt-Leb."
 ]
}

 The dataset includes 90 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019084-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2d6qw7
title: CCDC 2211009: Experimental Crystal Structure Determination

description: Related Article: Thomas Mies, Andrew J. P. White, Henry S. Rzepa, Luciano Barluzzi, Mohit Devgan, Richard A. Layfield, Anthony G. M. Barrett|2023|Inorg.Chem.|62|13253|doi:10.1021/acs.inorgchem.3c01506
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: 10.14469/hpc/11436
title: Primary crystal structure data for Compound 66. Tris((4-(ethoxycarbonyl)-1-phenyl-1H-pyrazol-5-yl)oxy)dysprosium
DOI: 10.15468/dl.3y28f3
title: Occurrence Download

description: A dataset containing 165 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Material sample)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Polylepis lanata (Kuntze) M.Kessler & Schmidt-Leb."
 ]
}

 The dataset includes 165 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019085-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9gubnb
title: Occurrence Download

description: A dataset containing 137 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is 396d5f30-dea9-11db-8ab4-b8a03c50a862",
 "TaxonKey is Pinus sylvestris L.",
 "Year 1873-1930"
 ]
}

 The dataset includes 137 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019086-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wt8uzg
title: Occurrence Download

description: A dataset containing 1450 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Solidago altissima var. altissima"
 ]
}

 The dataset includes 1450 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019087-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mg63w5
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Material sample)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Polylepis pacensis M.Kessler & Schmidt-Leb."
 ]
}

 The dataset includes 48 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019088-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2d6qx8
title: CCDC 2211010: Experimental Crystal Structure Determination

description: Related Article: Thomas Mies, Andrew J. P. White, Henry S. Rzepa, Luciano Barluzzi, Mohit Devgan, Richard A. Layfield, Anthony G. M. Barrett|2023|Inorg.Chem.|62|13253|doi:10.1021/acs.inorgchem.3c01506
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: 10.14469/hpc/11437
title: Primary crystal structure data for Compound 70. Tris((4-(ethoxycarbonyl)-1-phenyl-1H-pyrazol-5-yl)oxy)ytterbium
DOI: 10.34740/kaggle/dsv/8921710
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.5258/soton/d3145
title: Dataset supporting the publication "Policy priorities to enable engaged and transformational adaptation on the coast"

description: Dataset supporting the publication by Van Der Plank, S. (2024). "Policy priorities to enable engaged and transformational adaptation on the coast: learning from practitioner experiences in England". Environmental Science & Policy, 159, Article 103806. https://doi.org/10.1016/j.envsci.2024.103806

The dataset includes redacted interview transcripts from 20 interviews held in 2022.

Data is available on request complete the form here https://library.soton.ac.uk/datarequest
This research received funding from ESRC, Grant Number UKRI ESRC ES/W006189/1
Research was led and conducted by Dr Sien van der Plank in 2022.
DOI: 10.5281/zenodo.10547589
title: IVD-SEG:Standardized Datasets for Industrial Vision Defect Segmentation

description:  

Code[Github]

abstract

We introduce IVD-SEG, a dataset encompassing defect images from 43 different industrial products, totaling 5686 images, spanning tasks that include binary and multiclass segmentation. Within IVD-SEG, we meticulously propose 12 sub-datasets, including two newly developed datasets by our team. Serving as a large-scale standardized industrial defect image dataset, all images are unified to a 256 × 256 size, accompanied by semantic segmentation annotations. This standardization facilitates users unfamiliar with industrial product defects to utilize the dataset, allowing them to focus on exploring algorithmic performance on the IVD-SEG dataset. To our knowledge, the dataset we propose is currently the most comprehensive and voluminous compilation of industrial defect images, thereby contributing to the advancement of relevant research in industrial image analysis. Simultaneously, our dataset supports research and education in various fields, including computer vision and machine learning. We conducted benchmark tests on IVD-SEG using several baseline methods, including representative CNN and ViT networks.
DOI: 10.5281/zenodo.10547588
title: IVD-SEG:Standardized Datasets for Industrial Vision Defect Segmentation

description:  

Code[Github]

abstract

We introduce IVD-SEG, a dataset encompassing defect images from 43 different industrial products, totaling 5686 images, spanning tasks that include binary and multiclass segmentation. Within IVD-SEG, we meticulously propose 12 sub-datasets, including two newly developed datasets by our team. Serving as a large-scale standardized industrial defect image dataset, all images are unified to a 256 × 256 size, accompanied by semantic segmentation annotations. This standardization facilitates users unfamiliar with industrial product defects to utilize the dataset, allowing them to focus on exploring algorithmic performance on the IVD-SEG dataset. To our knowledge, the dataset we propose is currently the most comprehensive and voluminous compilation of industrial defect images, thereby contributing to the advancement of relevant research in industrial image analysis. Simultaneously, our dataset supports research and education in various fields, including computer vision and machine learning. We conducted benchmark tests on IVD-SEG using several baseline methods, including representative CNN and ViT networks.
DOI: 10.5281/zenodo.11559821
title: IVD-SEG:Standardized Datasets for Industrial Vision Defect Segmentation

description:  

Code[Github]

abstract

We introduce IVD-SEG, a dataset encompassing defect images from 43 different industrial products, totaling 5686 images, spanning tasks that include binary and multiclass segmentation. Within IVD-SEG, we meticulously propose 12 sub-datasets, including two newly developed datasets by our team. Serving as a large-scale standardized industrial defect image dataset, all images are unified to a 256 × 256 size, accompanied by semantic segmentation annotations. This standardization facilitates users unfamiliar with industrial product defects to utilize the dataset, allowing them to focus on exploring algorithmic performance on the IVD-SEG dataset. To our knowledge, the dataset we propose is currently the most comprehensive and voluminous compilation of industrial defect images, thereby contributing to the advancement of relevant research in industrial image analysis. Simultaneously, our dataset supports research and education in various fields, including computer vision and machine learning. We conducted benchmark tests on IVD-SEG using several baseline methods, including representative CNN and ViT networks.
DOI: 10.5281/zenodo.12704122
title: IVD-SEG:Standardized Datasets for Industrial Vision Defect Segmentation

description:  

Code[Github]

abstract

We introduce IVD-SEG, a dataset encompassing defect images from 43 different industrial products, totaling 5686 images, spanning tasks that include binary and multiclass segmentation. Within IVD-SEG, we meticulously propose 12 sub-datasets, including two newly developed datasets by our team. Serving as a large-scale standardized industrial defect image dataset, all images are unified to a 256 × 256 size, accompanied by semantic segmentation annotations. This standardization facilitates users unfamiliar with industrial product defects to utilize the dataset, allowing them to focus on exploring algorithmic performance on the IVD-SEG dataset. To our knowledge, the dataset we propose is currently the most comprehensive and voluminous compilation of industrial defect images, thereby contributing to the advancement of relevant research in industrial image analysis. Simultaneously, our dataset supports research and education in various fields, including computer vision and machine learning. We conducted benchmark tests on IVD-SEG using several baseline methods, including representative CNN and ViT networks.
DOI: 10.5517/ccdc.csd.cc2d6pt4
title: CCDC 2210976: Experimental Crystal Structure Determination

description: Related Article: Thomas Mies, Andrew J. P. White, Henry S. Rzepa, Luciano Barluzzi, Mohit Devgan, Richard A. Layfield, Anthony G. M. Barrett|2023|Inorg.Chem.|62|13253|doi:10.1021/acs.inorgchem.3c01506
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: 10.14469/hpc/12304
title: Crystal data for Ethyl 3-oxo-2,3-dihydro-1H-pyrazole-4-carboxylate (5).

description: Processed crystal data for compound 5. Ethyl 3-oxo-2,3-dihydro-1H-pyrazole-4-carboxylate