cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7732038
title: The Object Detection for Olfactory References (ODOR) Dataset

description: <strong>The Object Detection for Olfactory References (ODOR) Dataset</strong> Real-world applications of computer vision in the humanities require algorithms to be robust against artistic abstraction, peripheral objects, and subtle differences between fine-grained target classes. Existing datasets provide instance-level<br> annotations on artworks but are generally biased towards the image centre and limited with regard to detailed object classes. The proposed ODOR dataset fills this gap, offering 38,116 object-level annotations across 4,712 images, spanning an extensive set of 139 fine-grained categories. Conducting a statistical analysis, we showcase challenging dataset properties, such as a detailed set of categories, dense and overlapping objects, and spatial distribution over the whole image canvas. Furthermore, we provide an extensive baseline analysis for object detection models and highlight the challenging properties of the dataset through a set of secondary studies. Inspiring further research on artwork object detection and broader visual cultural heritage studies, the dataset challenges researchers to explore the intersection of object recognition and smell perception. <strong>How to use</strong> To download the dataset images, run the `download_imgs.py` script in the subfolder. The images will be downloaded to the `imgs` folder. The annotations are provided in COCO JSON format. To represent the two-level hierarchy of the object classes, we make use of the supercategory field in the categories array as defined by COCO. In addition to the object-level annotations, we provide an additional CSV file with image-level metadata, which includes content-related fields, such as Iconclass codes or image descriptions, as well as formal annotations, such as artist, license, or creation year. For the sake of license compliance, we do not publish the images directly (although most of the images are public domain). Instead, we provide links to their source collections in the metadata file (meta.csv) and a python script to download the artwork images (download_images.py). The mapping between the `images` array of the `annotations.json` and the `metadata.csv` file can be accomplished via the `file_name` attribute of the elements of the `images` array and the unique `File Name` column of the `metadata.csv` file, respectively.
DOI: 10.15468/dl.8ke4nm
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nematopagurus muricatus (Henderson, 1896)"
 ]
}

 The dataset includes 10 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0126213-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dufx95
title: Occurrence Download

description: A dataset containing 4159 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lerista bougainvillii (Gray, 1839))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4159 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042408-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.6367776
title: Odeuropa Dataset of Smell-Related Objects

description: <strong>Odeuropa Dataset of Olfactory Objects</strong> This dataset is released as part of the Odeuropa project. The annotations are identical to the training set of the ICPR2022-ODOR Challenge.<br> It contains bounding box annotations for smell-active objects in historical artworks gathered from various digital connections.<br> The smell-active objects annotated in the dataset either carry smells themselves or hint at the presence of smells.<br> The dataset provides 15484 bounding boxes on 2116 artworks in 87 object categories.<br> An additional csv file contains further image-level metadata such as artist, collection, or year of creation. <strong>How to use</strong> Due to licensing issues, we cannot provide the images directly, but instead provide a collection of links and a download script. To get the images, just run the `download_imgs.py` script which loads the images using the links from the `metadata.csv` file. The downloaded images can then be found in the `images` subfolder. The overall size of the downloaded images is c. 200MB. The bounding box annotations can be found in the `annotations.json`. The annotations follow the COCO JSON format, the definition is available here. The mapping between the `images` array of the `annotations.json` and the `metadata.csv` file can be accomplished via the `file_name` attribute of the elements of the `images` array and the unique `File Name` column of the `metadata.csv` file, respectively. Additional image-level metadata is available in the `metadata.csv` file.
DOI: 10.5281/zenodo.6362952
title: Odeuropa Dataset of Smell-Related Objects

description: <strong>Odeuropa Dataset of Olfactory Objects</strong> This dataset is released as part of the Odeuropa project. The annotations are identical to the training set of the ICPR2022-ODOR Challenge.<br> It contains bounding box annotations for smell-active objects in historical artworks gathered from various digital connections.<br> The smell-active objects annotated in the dataset either carry smells themselves or hint at the presence of smells.<br> The dataset provides 15823 bounding boxes on 2192 artworks in 87 object categories.<br> An additional csv file contains further image-level metadata such as artist, collection, or year of creation. <strong>How to use</strong> Due to licensing issues, we cannot provide the images directly, but instead provide a collection of links and a download script. To get the images, just run the `download_imgs.py` script which loads the images using the links from the `metadata.csv` file. The downloaded images can then be found in the `images` subfolder. The bounding box annotations can be found in the `annotations.json`. The annotations follow the COCO JSON format, the definition is available here. The mapping between the `images` array of the `annotations.json` and the `metadata.csv` file can be accomplished via the `file_name` attribute of the elements of the `images` array and the unique `File Name` column of the `metadata.csv` file, respectively. Additional image-level metadata is available in the `metadata.csv` file.
DOI: 10.5281/zenodo.6364604
title: Odeuropa Dataset of Smell-Related Objects

description: <strong>Odeuropa Dataset of Olfactory Objects</strong> This dataset is released as part of the Odeuropa project. The annotations are identical to the training set of the ICPR2022-ODOR Challenge.<br> It contains bounding box annotations for smell-active objects in historical artworks gathered from various digital connections.<br> The smell-active objects annotated in the dataset either carry smells themselves or hint at the presence of smells.<br> The dataset provides 15823 bounding boxes on 2192 artworks in 87 object categories.<br> An additional csv file contains further image-level metadata such as artist, collection, or year of creation. <strong>How to use</strong> Due to licensing issues, we cannot provide the images directly, but instead provide a collection of links and a download script. To get the images, just run the `download_imgs.py` script which loads the images using the links from the `metadata.csv` file. The downloaded images can then be found in the `images` subfolder. The overall size of the downloaded images is c. 200MB. The bounding box annotations can be found in the `annotations.json`. The annotations follow the COCO JSON format, the definition is available here. The mapping between the `images` array of the `annotations.json` and the `metadata.csv` file can be accomplished via the `file_name` attribute of the elements of the `images` array and the unique `File Name` column of the `metadata.csv` file, respectively. Additional image-level metadata is available in the `metadata.csv` file.
DOI: 10.15468/dl.67nvdj
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Archibaccharis breedlovei G.L.Nesom & B.L.Turner"
 ]
}

 The dataset includes 10 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042429-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cgqz7w
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dysgonia dulcis Butler, 1878",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0128476-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.6366362
title: Odeuropa Dataset of Smell-Related Objects

description: <strong>Odeuropa Dataset of Olfactory Objects</strong> This dataset is released as part of the Odeuropa project. The annotations are identical to the training set of the ICPR2022-ODOR Challenge.<br> It contains bounding box annotations for smell-active objects in historical artworks gathered from various digital connections.<br> The smell-active objects annotated in the dataset either carry smells themselves or hint at the presence of smells.<br> The dataset provides 15484 bounding boxes on 2116 artworks in 87 object categories.<br> An additional csv file contains further image-level metadata such as artist, collection, or year of creation. <strong>How to use</strong> Due to licensing issues, we cannot provide the images directly, but instead provide a collection of links and a download script. To get the images, just run the `download_imgs.py` script which loads the images using the links from the `metadata.csv` file. The downloaded images can then be found in the `images` subfolder. The overall size of the downloaded images is c. 200MB. The bounding box annotations can be found in the `annotations.json`. The annotations follow the COCO JSON format, the definition is available here. The mapping between the `images` array of the `annotations.json` and the `metadata.csv` file can be accomplished via the `file_name` attribute of the elements of the `images` array and the unique `File Name` column of the `metadata.csv` file, respectively. Additional image-level metadata is available in the `metadata.csv` file.
DOI: 10.5281/zenodo.7125961
title: Odeuropa Dataset of Smell-Related Objects

description: <strong>Odeuropa Dataset of Olfactory Objects</strong> This is version two of the Odeuropa Dataset of Olfactory Objects which has been released as part of the Odeuropa project .<br> It contains bounding box annotations for smell-active objects in historical artworks gathered from various digital connections.<br> The smell-active objects annotated in the dataset either carry smells themselves or hint at the presence of smells.<br> The dataset provides 36663 bounding boxes on 4696 artworks in 169 object categories.<br> An additional csv file contains further image-level metadata such as artist, collection, or year of creation. <strong>How to use</strong> Due to licensing issues, we cannot provide the images directly, but instead provide a collection of links and a download script. To get the images, just run the `download_imgs.py` script which loads the images using the links from the `metadata.csv` file. The downloaded images can then be found in the `images` subfolder. The overall size of the downloaded images is c. 600MB. The bounding box annotations can be found in the `annotations.json`. The annotations follow the COCO JSON format, the definition is available here. The mapping between the `images` array of the `annotations.json` and the `metadata.csv` file can be accomplished via the `file_name` attribute of the elements of the `images` array and the unique `File Name` column of the `metadata.csv` file, respectively. Additional image-level metadata is available in the `metadata.csv` file.
DOI: 10.5517/ccwsc99
title: CCDC 827771: Experimental Crystal Structure Determination

description: Related Article: Mei-Qiu Li, Jin-Xin Zhang, Xiao-Fei Huang, Bin Wu, Zhao-Min Liu, Jian Chen, Xiang-Dong Li, Xing-Wang Wang|2011|Eur.J.Org.Chem.|2011|5237|doi:10.1002/ejoc.201100824
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/ccws1g4
title: CCDC 827466: Experimental Crystal Structure Determination

description: Related Article: Zi-Jian Yao, Ge Su, Guo-Xin Jin|2011|Chem.-Eur.J.|17|13298|doi:10.1002/chem.201101638
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/ccws1h5
title: CCDC 827467: Experimental Crystal Structure Determination

description: Related Article: Zi-Jian Yao, Ge Su, Guo-Xin Jin|2011|Chem.-Eur.J.|17|13298|doi:10.1002/chem.201101638
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: 10.13140/rg.2.2.29674.59842
title: Prevalence and clinical demographic characteristics of irritable bowel syndrome (IBS) in general population in Brazil
DOI: 10.15468/dl.kd6jbk
title: Occurrence Download

description: A dataset containing 268 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Ephedra nebrodensis"
 ]
}

 The dataset includes 268 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047324-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccws1j6
title: CCDC 827468: Experimental Crystal Structure Determination

description: Related Article: Zi-Jian Yao, Ge Su, Guo-Xin Jin|2011|Chem.-Eur.J.|17|13298|doi:10.1002/chem.201101638
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/ccws1k7
title: CCDC 827469: Experimental Crystal Structure Determination

description: Related Article: Zi-Jian Yao, Ge Su, Guo-Xin Jin|2011|Chem.-Eur.J.|17|13298|doi:10.1002/chem.201101638
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/ccws1l8
title: CCDC 827470: Experimental Crystal Structure Determination

description: Related Article: Zi-Jian Yao, Ge Su, Guo-Xin Jin|2011|Chem.-Eur.J.|17|13298|doi:10.1002/chem.201101638
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/ccws1m9
title: CCDC 827471: Experimental Crystal Structure Determination

description: Related Article: Zi-Jian Yao, Ge Su, Guo-Xin Jin|2011|Chem.-Eur.J.|17|13298|doi:10.1002/chem.201101638
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/ccws1nb
title: CCDC 827472: Experimental Crystal Structure Determination

description: Related Article: Zi-Jian Yao, Ge Su, Guo-Xin Jin|2011|Chem.-Eur.J.|17|13298|doi:10.1002/chem.201101638
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/ccws1pc
title: CCDC 827473: Experimental Crystal Structure Determination

description: Related Article: Zi-Jian Yao, Ge Su, Guo-Xin Jin|2011|Chem.-Eur.J.|17|13298|doi:10.1002/chem.201101638
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/ccvsh8c
title: CCDC 798103: Experimental Crystal Structure Determination

description: Related Article: Chih-Chin Tsou, Wen-Feng Liaw|2011|Chem.-Eur.J.|17|13358|doi:10.1002/chem.201100253
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: 10.13140/rg.2.2.15964.46722
title: magicPy - A python toolbox to control MagVenture TMS machines
DOI: 10.5517/ccx8zch
title: CCDC 842777: Experimental Crystal Structure Determination

description: Related Article: N.Vujkovic, V.Cesar, N.Lugan, G.Lavigne|2011|Chem.-Eur.J.|17|13151|doi:10.1002/chem.201102767
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/ccx8zdj
title: CCDC 842778: Experimental Crystal Structure Determination

description: Related Article: N.Vujkovic, V.Cesar, N.Lugan, G.Lavigne|2011|Chem.-Eur.J.|17|13151|doi:10.1002/chem.201102767
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/ccwtbff
title: CCDC 828705: Experimental Crystal Structure Determination

description: Related Article: B.Stibr, M.Bakardjiev, J.Holub, A.Ruzicka, Z.Padelkova, R.Olejnik, P.Svec|2011|Chem.-Eur.J.|17|13156|doi:10.1002/chem.201102016
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/ccx8zfk
title: CCDC 842779: Experimental Crystal Structure Determination

description: Related Article: N.Vujkovic, V.Cesar, N.Lugan, G.Lavigne|2011|Chem.-Eur.J.|17|13151|doi:10.1002/chem.201102767
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/ccx8zgl
title: CCDC 842780: Experimental Crystal Structure Determination

description: Related Article: N.Vujkovic, V.Cesar, N.Lugan, G.Lavigne|2011|Chem.-Eur.J.|17|13151|doi:10.1002/chem.201102767
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/ccwtbgg
title: CCDC 828706: Experimental Crystal Structure Determination

description: Related Article: B.Stibr, M.Bakardjiev, J.Holub, A.Ruzicka, Z.Padelkova, R.Olejnik, P.Svec|2011|Chem.-Eur.J.|17|13156|doi:10.1002/chem.201102016
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/ccw91sz
title: CCDC 813061: Experimental Crystal Structure Determination

description: Related Article: Lei Wu, Min Shi|2011|Chem.-Eur.J.|17|13160|doi:10.1002/chem.201102159
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/ccx1ysn
title: CCDC 836032: Experimental Crystal Structure Determination

description: Related Article: M.Fontanet, A.-R.Popescu, X.Fontrodona, M.Rodriguez, I.Romero, F.Teixidor, C.Vinas, N.Aliaga-Alcalde, E.Ruiz|2011|Chem.-Eur.J.|17|13217|doi:10.1002/chem.201101929
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.