cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc1m79jp
title: CCDC 1496572: Experimental Crystal Structure Determination

description: Related Article: Nicholas C. Boyde, Nicholas R. Rightmire, Eric J. Bierschenk, Grant W. Steelman, Timothy P. Hanusa, William W. Brennessel|2016|Dalton Trans.|45|18635|doi:10.1039/C6DT03199D
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.cc1m79kq
title: CCDC 1496573: Experimental Crystal Structure Determination

description: Related Article: Nicholas C. Boyde, Nicholas R. Rightmire, Eric J. Bierschenk, Grant W. Steelman, Timothy P. Hanusa, William W. Brennessel|2016|Dalton Trans.|45|18635|doi:10.1039/C6DT03199D
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.cc1m79lr
title: CCDC 1496574: Experimental Crystal Structure Determination

description: Related Article: Nicholas C. Boyde, Nicholas R. Rightmire, Eric J. Bierschenk, Grant W. Steelman, Timothy P. Hanusa, William W. Brennessel|2016|Dalton Trans.|45|18635|doi:10.1039/C6DT03199D
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.cc1m93fg
title: CCDC 1498305: Experimental Crystal Structure Determination

description: Related Article: Atanu Modak, Anirban Mondal, Rahul Watile, Semanti Mukherjee, Debabrata Maiti|2016|Chem.Commun.|52|13916|doi:10.1039/C6CC08302A
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.cc1m9th7
title: CCDC 1498989: Experimental Crystal Structure Determination

description: Related Article: Keith C. Armstrong, Stephan Hohloch, Trevor D. Lohrey, Ryan A. Zarkesh, John Arnold, Mitchell R. Anstey|2016|Dalton Trans.|45|18653|doi:10.1039/C6DT03884K
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.cc1m9tj8
title: CCDC 1498990: Experimental Crystal Structure Determination

description: Related Article: Keith C. Armstrong, Stephan Hohloch, Trevor D. Lohrey, Ryan A. Zarkesh, John Arnold, Mitchell R. Anstey|2016|Dalton Trans.|45|18653|doi:10.1039/C6DT03884K
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.cc1mddt7
title: CCDC 1501479: Experimental Crystal Structure Determination

description: Related Article: Kristina Lekin, Kazuma Ogata, Adrian Maclean, Aaron Mailman, Stephen M. Winter, Abdeljalil Assoud, Masaki Mito, John S. Tse, Serge Desgreniers, Naohisa Hirao, Paul A. Dube, Richard T. Oakley|2016|Chem.Commun.|52|13877|doi:10.1039/C6CC07142B
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.cc1mf1rv
title: CCDC 1502097: Experimental Crystal Structure Determination

description: Related Article: Yile Wu, Changkai Shan, Ying Sun, Peng Chen, Jianxi Ying, Jun Zhu, Liu (Leo) Liu, Yufen Zhao|2016|Chem.Commun.|52|13799|doi:10.1039/C6CC08147A
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.cc1kxx6l
title: CCDC 1457750: Experimental Crystal Structure Determination

description: Related Article: Haeri Lee, Eunkyung Choi, Tae Hwan Noh, Ok-Sang Jung|2016|Dalton Trans.|45|18476|doi:10.1039/C6DT02604D
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.cc1kxx8n
title: CCDC 1457752: Experimental Crystal Structure Determination

description: Related Article: Haeri Lee, Eunkyung Choi, Tae Hwan Noh, Ok-Sang Jung|2016|Dalton Trans.|45|18476|doi:10.1039/C6DT02604D
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.cc1mgydf
title: CCDC 1503915: Experimental Crystal Structure Determination

description: Related Article: Jun Wang, Wei Dou, Alexander M. Kirillov, Weisheng Liu, Cailing Xu, Ran Fang, Lizi Yang|2016|Dalton Trans.|45|18610|doi:10.1039/C6DT03558B
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.cc1mgsvq
title: CCDC 1503774: Experimental Crystal Structure Determination

description: Related Article: Junki Tanabe, Daisuke Taura, Naoki Ousaka, Eiji Yashima|2016|Org.Biomol.Chem.|14|10822|doi:10.1039/C6OB02087A
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.cc1mgyfg
title: CCDC 1503916: Experimental Crystal Structure Determination

description: Related Article: Jun Wang, Wei Dou, Alexander M. Kirillov, Weisheng Liu, Cailing Xu, Ran Fang, Lizi Yang|2016|Dalton Trans.|45|18610|doi:10.1039/C6DT03558B
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.cc1mgswr
title: CCDC 1503775: Experimental Crystal Structure Determination

description: Related Article: Junki Tanabe, Daisuke Taura, Naoki Ousaka, Eiji Yashima|2016|Org.Biomol.Chem.|14|10822|doi:10.1039/C6OB02087A
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.cc1mhs30
title: CCDC 1504712: Experimental Crystal Structure Determination

description: Related Article: Alex J. Kosanovich, Wei-Chun Shih, Rodrigo Ramírez-Contreras, Oleg. V. Ozerov|2016|Dalton Trans.|45|18532|doi:10.1039/C6DT03640F
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.cc1mhs41
title: CCDC 1504713: Experimental Crystal Structure Determination

description: Related Article: Alex J. Kosanovich, Wei-Chun Shih, Rodrigo Ramírez-Contreras, Oleg. V. Ozerov|2016|Dalton Trans.|45|18532|doi:10.1039/C6DT03640F
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.cc1mhs52
title: CCDC 1504714: Experimental Crystal Structure Determination

description: Related Article: Alex J. Kosanovich, Wei-Chun Shih, Rodrigo Ramírez-Contreras, Oleg. V. Ozerov|2016|Dalton Trans.|45|18532|doi:10.1039/C6DT03640F
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.cc1kxx5k
title: CCDC 1457749: Experimental Crystal Structure Determination

description: Related Article: Haeri Lee, Eunkyung Choi, Tae Hwan Noh, Ok-Sang Jung|2016|Dalton Trans.|45|18476|doi:10.1039/C6DT02604D
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.cc1mhs63
title: CCDC 1504715: Experimental Crystal Structure Determination

description: Related Article: Alex J. Kosanovich, Wei-Chun Shih, Rodrigo Ramírez-Contreras, Oleg. V. Ozerov|2016|Dalton Trans.|45|18532|doi:10.1039/C6DT03640F
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: 10.15468/dl.9c7kgn
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Shorea subcylindrica"
 ]
}

 The dataset includes 62 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008056-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5t9aqn
title: Occurrence Download

description: A dataset containing 1195 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mentzelia lindleyi"
 ]
}

 The dataset includes 1195 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008057-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17483375
title: Control of apoptosis by the miR-17-92 cluster in T-cell development and homeostasis is limited
DOI: 10.5281/zenodo.17483376
title: Control of apoptosis by the miR-17-92 cluster in T-cell development and homeostasis is limited
DOI: 10.24400/170160/sagsa_ggm_svd_1month_rl0005
title: Geopotential solution, Singular Value Decomposition, monthly
DOI: 10.5281/zenodo.17483605
title: Leaf Species Recognition Dataset (v1.0)

description: Leaf Species Recognition Dataset

OverviewThis dataset contains 52 photographs of leaves belonging to three distinct species(Hibiscus, Apple, Pikerelweed) collected in Erlangen, Germany. Each image has been manually annotated using Makesense.ai with class labels and bounding boxes identifying the leaves.  The dataset aims to support research and educational projects in computer vision, particularly for image classification, object detection.

Dataset ContentsAll files are contained in a single folder (no hierarchy):

AnnotationsThe file `leaf_dataset_with_metadata.csv` includes Annotations and Metadata:- filename – image file name  - width, height – image dimensions (resolution)- class – species label (Hibiscus, Apple, Pikerelweed)- xmin, ymin, xmax, ymax – bounding box coordinates  - Photographer – name of the photographer  - Date_Captured – when the photo was taken  - Location – where the photo was taken  - Device – camera or phone model  - Lighting_Condition – environmental light condition  - Annotator – who labeled the data

LicenseThis dataset is distributed under the **Creative Commons Attribution 4.0 International (CC BY 4.0)** license.  You are free to share and adapt the data, provided appropriate credit is given.

FAIR Assessment| Principle | Explanation | Status || Findable | Dataset has descriptive metadata and DOI via Zenodo |  ✅ || Accessible | Publicly available without restriction |  ✅ || Interoperable | Uses standard formats (CSV, JPEG) | ✅ || Reusable | Includes metadata, license, and documentation | ✅ |

Acknowledgements- Annotations created using MakeSense.ai
DOI: 10.5281/zenodo.17483606
title: Leaf Species Recognition Dataset (v1.0)

description: Leaf Species Recognition Dataset

OverviewThis dataset contains 52 photographs of leaves belonging to three distinct species(Hibiscus, Apple, Pikerelweed) collected in Erlangen, Germany. Each image has been manually annotated using Makesense.ai with class labels and bounding boxes identifying the leaves.  The dataset aims to support research and educational projects in computer vision, particularly for image classification, object detection.

Dataset ContentsAll files are contained in a single folder (no hierarchy):

AnnotationsThe file `leaf_dataset_with_metadata.csv` includes Annotations and Metadata:- filename – image file name  - width, height – image dimensions (resolution)- class – species label (Hibiscus, Apple, Pikerelweed)- xmin, ymin, xmax, ymax – bounding box coordinates  - Photographer – name of the photographer  - Date_Captured – when the photo was taken  - Location – where the photo was taken  - Device – camera or phone model  - Lighting_Condition – environmental light condition  - Annotator – who labeled the data

LicenseThis dataset is distributed under the **Creative Commons Attribution 4.0 International (CC BY 4.0)** license.  You are free to share and adapt the data, provided appropriate credit is given.

FAIR Assessment| Principle | Explanation | Status || Findable | Dataset has descriptive metadata and DOI via Zenodo |  ✅ || Accessible | Publicly available without restriction |  ✅ || Interoperable | Uses standard formats (CSV, JPEG) | ✅ || Reusable | Includes metadata, license, and documentation | ✅ |

Acknowledgements- Annotations created using MakeSense.ai
DOI: 10.15156/bio/sh0158783.10fu
title: SH0158783.10FU

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/sh0158784.10fu
title: SH0158784.10FU

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/sh0158785.10fu
title: SH0158785.10FU

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/sh0158786.10fu
title: SH0158786.10FU

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/sh0158787.10fu
title: SH0158787.10FU

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/sh0158788.10fu
title: SH0158788.10FU

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.