cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/cc3zn3t
title: CCDC 118826: Experimental Crystal Structure Determination

description: Related Article: S.A.Bourne, K.L.Gifford Nash, F.Toda|1999|J.Chem.Cryst.|29|261|doi:10.1023/A:1009546815147
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/cc3zn4v
title: CCDC 118827: Experimental Crystal Structure Determination

description: Related Article: S.A.Bourne, K.L.Gifford Nash, F.Toda|1999|J.Chem.Cryst.|29|261|doi:10.1023/A:1009546815147
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/cc3zn90
title: CCDC 118832: Experimental Crystal Structure Determination

description: Related Article: N.R.Sangeetha, S.Pal|1999|J.Chem.Cryst.|29|287|doi:10.1023/A:1009517716964
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/cc3znb1
title: CCDC 118833: Experimental Crystal Structure Determination

description: Related Article: N.R.Sangeetha, S.Pal|1999|J.Chem.Cryst.|29|287|doi:10.1023/A:1009517716964
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/cc3zn5w
title: CCDC 118828: Experimental Crystal Structure Determination

description: Related Article: V.P.Hanot, T.D.Robert, J.G.Haasnoot, H.Kooijman, A.L.Spek|1999|J.Chem.Cryst.|29|299|doi:10.1023/A:1009521817873
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/cc3zn6x
title: CCDC 118829: Experimental Crystal Structure Determination

description: Related Article: Guang Yang, Hui-An Chen, Zhong-Yuan Zhou, Xiao-Ming Chen|1999|J.Chem.Cryst.|29|309|doi:10.1023/A:1009573801943
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/cc3zn7y
title: CCDC 118830: Experimental Crystal Structure Determination

description: Related Article: Guang Yang, Hui-An Chen, Zhong-Yuan Zhou, Xiao-Ming Chen|1999|J.Chem.Cryst.|29|309|doi:10.1023/A:1009573801943
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/cc3zn8z
title: CCDC 118831: Experimental Crystal Structure Determination

description: Related Article: Guang Yang, Hui-An Chen, Zhong-Yuan Zhou, Xiao-Ming Chen|1999|J.Chem.Cryst.|29|309|doi:10.1023/A:1009573801943
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/cc3znc2
title: CCDC 118834: Experimental Crystal Structure Determination

description: Related Article: C.E.Mowbray, W.Skranc, J.D.Wallis|1999|J.Chem.Cryst.|29|335|doi:10.1023/A:1009582103760
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/cc3znd3
title: CCDC 118835: Experimental Crystal Structure Determination

description: Related Article: C.E.Mowbray, W.Skranc, J.D.Wallis|1999|J.Chem.Cryst.|29|335|doi:10.1023/A:1009582103760
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/cc3znf4
title: CCDC 118836: Experimental Crystal Structure Determination

description: Related Article: B.K.Teo, Hy Dang, Hong Zhang|1999|J.Chem.Cryst.|29|343|doi:10.1023/A:1009534220599
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/cc3qz81
title: CCDC 111453: Experimental Crystal Structure Determination

description: Related Article: G.A.van Albada, W.J.J.Smeets, N.Veldman, A.L.Spek, J.Reedijk|1999|Inorg.Chim.Acta|290|105|doi:10.1016/S0020-1693(99)00141-3
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/cc3zng5
title: CCDC 118837: Experimental Crystal Structure Determination

description: Related Article: Fangfang Jian, Zuoxiang Wang, Zhiping Bai, Xiaozeng You, Hoong-kun Fun, K.Chinnakali|1999|J.Chem.Cryst.|29|359|doi:10.1023/A:1009542422416
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/cc3qz92
title: CCDC 111454: Experimental Crystal Structure Determination

description: Related Article: G.A.van Albada, W.J.J.Smeets, N.Veldman, A.L.Spek, J.Reedijk|1999|Inorg.Chim.Acta|290|105|doi:10.1016/S0020-1693(99)00141-3
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/cc3qzb3
title: CCDC 111455: Experimental Crystal Structure Determination

description: Related Article: G.A.van Albada, W.J.J.Smeets, N.Veldman, A.L.Spek, J.Reedijk|1999|Inorg.Chim.Acta|290|105|doi:10.1016/S0020-1693(99)00141-3
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/cc3qx3t
title: CCDC 111386: Experimental Crystal Structure Determination

description: Related Article: A.Neu, T.Mennekes, P.Paetzold, U.Englert, M.Hofmann, P.von Rague Schleyer|1999|Inorg.Chim.Acta|289|58|doi:10.1016/S0020-1693(99)00058-4
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/cc3qzc4
title: CCDC 111456: Experimental Crystal Structure Determination

description: Related Article: G.A.van Albada, W.J.J.Smeets, N.Veldman, A.L.Spek, J.Reedijk|1999|Inorg.Chim.Acta|290|105|doi:10.1016/S0020-1693(99)00141-3
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/cc3fhjj
title: CCDC 102347: Experimental Crystal Structure Determination

description: Related Article: A.D.Hattersley, C.E.Housecroft, A.L.Rheingold|1999|Inorg.Chim.Acta|289|149|doi:10.1016/S0020-1693(99)00065-1
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/cc3fhkk
title: CCDC 102348: Experimental Crystal Structure Determination

description: Related Article: A.D.Hattersley, C.E.Housecroft, A.L.Rheingold|1999|Inorg.Chim.Acta|289|149|doi:10.1016/S0020-1693(99)00065-1
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/cc4j28z
title: CCDC 134610: Experimental Crystal Structure Determination

description: Related Article: E.Monzani, L.Casella, G.Zoppellaro, M.Gullotti, R.Pagliarin, R.P.Bonomo, G.Tabbi, G.Nardin, L.Randaccio|1998|Inorg.Chim.Acta|282|180|doi:10.1016/S0020-1693(98)00221-7
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/cc3zq81
title: CCDC 118893: Experimental Crystal Structure Determination

description: Related Article: S.Kamitori, S.Muraoka, S.Kondo, K.Okuyama|1998|Carbohydr.Res.|312|177|doi:10.1016/S0008-6215(98)00244-4
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/cc3zq92
title: CCDC 118894: Experimental Crystal Structure Determination

description: Related Article: S.Kamitori, S.Muraoka, S.Kondo, K.Okuyama|1998|Carbohydr.Res.|312|177|doi:10.1016/S0008-6215(98)00244-4
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/cc4jhx1
title: CCDC 135033: Experimental Crystal Structure Determination

description: Related Article: P.Braunstein, J.Rose, A.Tiripicchio, M.Tiripicchio-Camellini|1984|Chem.Commun.|0|391|doi:10.1039/c39840000391
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.17294152
title: Supplementary Information and Material
DOI: 10.5281/zenodo.17294153
title: Supplementary Information and Material
DOI: 10.5281/zenodo.7636123
title: TUD-GV Dataset for Floating Litter Detection

description: This dataset contains the data used for the publication:



Jia T, Vallendar AJ, de Vries R, Kapelan Z and Taormina R (2023) Advancing deep learning-based detection of floating litter using a novel open dataset. Front. Water 5:1298465. https://doi.org/10.3389/frwa.2023.1298465


The large-scale "TU Delft - Green Village" (TUD-GV) dataset is for detecting floating litter with computer vision. We created this dataset from experiments conducted during 10 days in February and April 2021 in a small drainage canal at The Green Village — a field lab facility in the TU Delft Campus, the Netherlands. We captured data using two action cameras (GoPro HERO4 and GoPro MAX 360) and a phone (Huawei P30 Pro) mounted on four different locations on a bridge. All devices recorded videos with a resolution of 1080p, a linear field of view, and a FPS (frame per second) of 24 (for the action cameras) or 30 (for the phone).

This dataset consists of 9,473 RGB images. We manually labeled the images in the TUD-GV dataset into four classes: no litter (0 items), little litter (1-2 items), moderate litter (3-5 items), and lots of litter (6-10 items) according to the number of litter items in images.

This dataset is stored in the ZIP file contain 77 directories and the TUD-GV.xls file. Each of these directories contain four class label directories, and each label directory contains JPG images. The TUD-GV.xls file contains the detailed information of images in 77 directories, including collecting date, collecting time, device, device location (in a bridge), device degree, device height, weather conditions, litter source, the number of images per class, and the number of images in total.

If you use this dataset for a publication, please cite the paper. Here is a BibTeX entry:



@article{jia2023advancing,
  title={Advancing deep learning-based detection of floating litter using a novel open dataset},
  author={Jia, Tianlong and Vallendar, Andre Jehan and de Vries, Rinze and Kapelan, Zoran and Taormina, Riccardo},
  journal={Frontiers in Water},
  volume={5},
  pages={1298465},
  year={2023},
  publisher={Frontiers Media SA}
}
DOI: 10.5281/zenodo.7636124
title: TUD-GV Dataset for Floating Litter Detection

description: This dataset contains the data used for the publication:



Jia T, Vallendar AJ, de Vries R, Kapelan Z and Taormina R (2023) Advancing deep learning-based detection of floating litter using a novel open dataset. Front. Water 5:1298465. https://doi.org/10.3389/frwa.2023.1298465


The large-scale "TU Delft - Green Village" (TUD-GV) dataset is for detecting floating litter with computer vision. We created this dataset from experiments conducted during 10 days in February and April 2021 in a small drainage canal at The Green Village — a field lab facility in the TU Delft Campus, the Netherlands. We captured data using two action cameras (GoPro HERO4 and GoPro MAX 360) and a phone (Huawei P30 Pro) mounted on four different locations on a bridge. All devices recorded videos with a resolution of 1080p, a linear field of view, and a FPS (frame per second) of 24 (for the action cameras) or 30 (for the phone).

This dataset consists of 9,473 RGB images. We manually labeled the images in the TUD-GV dataset into four classes: no litter (0 items), little litter (1-2 items), moderate litter (3-5 items), and lots of litter (6-10 items) according to the number of litter items in images.

This dataset is stored in the ZIP file contain 77 directories and the TUD-GV.xls file. Each of these directories contain four class label directories, and each label directory contains JPG images. The TUD-GV.xls file contains the detailed information of images in 77 directories, including collecting date, collecting time, device, device location (in a bridge), device degree, device height, weather conditions, litter source, the number of images per class, and the number of images in total.

If you use this dataset for a publication, please cite the paper. Here is a BibTeX entry:



@article{jia2023advancing,
  title={Advancing deep learning-based detection of floating litter using a novel open dataset},
  author={Jia, Tianlong and Vallendar, Andre Jehan and de Vries, Rinze and Kapelan, Zoran and Taormina, Riccardo},
  journal={Frontiers in Water},
  volume={5},
  pages={1298465},
  year={2023},
  publisher={Frontiers Media SA}
}
DOI: 10.15468/dl.m4kest
title: Occurrence Download

description: A dataset containing 26671 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lactarius deterrimus",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 26671 records from 220 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004657-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1132878.10fu
title: SH1132878.10FU

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/sh1132879.10fu
title: SH1132879.10FU

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/sh1132880.10fu
title: SH1132880.10FU

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/sh1132886.10fu
title: SH1132886.10FU

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.