cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15099819
title: Simulation data for "Learning the dynamic organization of a replicating bacterial chromosome from time-course Hi-C data"

description: Raw simulation data for "Learning the dynamic organization of a replicating bacterial chromosome from time-course Hi-C data". Including polymer configurations from 4D-MaxEnt model and mechanistic simulations.
DOI: 10.5281/zenodo.15099820
title: Simulation data for "Learning the dynamic organization of a replicating bacterial chromosome from time-course Hi-C data"

description: Raw simulation data for "Learning the dynamic organization of a replicating bacterial chromosome from time-course Hi-C data". Including polymer configurations from 4D-MaxEnt model and mechanistic simulations.
DOI: 10.15468/dl.egm3by
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Cameroon",
 "TaxonKey is Hysterocrates gigas Pocock, 1897"
 ]
}

 The dataset includes 4 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002098-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7sxj27
title: Occurrence Download

description: A dataset containing 1149 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ursus americanus americanus"
 ]
}

 The dataset includes 1149 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002097-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.71795/zg0h-xr12
title: RELATIONSHIP
DOI: 10.5281/zenodo.15131233
title: Machine Learning-Driven Antiviral Libraries Targeting Respiratory Viruses

description: Overview
description: Viral infections, especially those affecting the respiratory system, represent a significant and growing global health concern. Using machine learning (ML) models, we focus on curating comertial datasets of compounds and predicting their antiviral efficacy against respiratory infections. The study specifically addresses seven key respiratory targets associated with viral diseases, leveraging ML classification models trained on a curated dataset of compounds with known antiviral biological activity. These models are used to predict and classify compounds, ultimately facilitating the design of novel antiviral libraries.
description: Data Collection and Curation: Compounds associated with antiviral activity for respiratory diseases were sourced from ChEMBL database. These compounds were annotated with known biological activity.




Machine Learning Model Training: The annotated dataset was used to train ML classification models that predict the antiviral activity of compounds. These models were validated and retrained to enhance performance and accuracy.




Antiviral Library Design: Once trained, the models were applied to design focused libraries of compounds that specifically target viral respiratory infections. The libraries are designed to be tested against seven key respiratory targets.




Validation and Testing: The models' predictions were validated using biological assays and experimental data to ensure their relevance and reliability.
DOI: 10.5281/zenodo.15131234
title: Machine Learning-Driven Antiviral Libraries Targeting Respiratory Viruses

description: Overview
description: Viral infections, especially those affecting the respiratory system, represent a significant and growing global health concern. Using machine learning (ML) models, we focus on curating comertial datasets of compounds and predicting their antiviral efficacy against respiratory infections. The study specifically addresses seven key respiratory targets associated with viral diseases, leveraging ML classification models trained on a curated dataset of compounds with known antiviral biological activity. These models are used to predict and classify compounds, ultimately facilitating the design of novel antiviral libraries.
description: Data Collection and Curation: Compounds associated with antiviral activity for respiratory diseases were sourced from ChEMBL database. These compounds were annotated with known biological activity.




Machine Learning Model Training: The annotated dataset was used to train ML classification models that predict the antiviral activity of compounds. These models were validated and retrained to enhance performance and accuracy.




Antiviral Library Design: Once trained, the models were applied to design focused libraries of compounds that specifically target viral respiratory infections. The libraries are designed to be tested against seven key respiratory targets.




Validation and Testing: The models' predictions were validated using biological assays and experimental data to ensure their relevance and reliability.
DOI: 10.15468/dl.amac3v
title: Occurrence Download

description: A dataset containing 2140331 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (COL.15_2, COL.7_2)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Mammalia, Aves, Amphibia, Squamata, Testudines, Elasmobranchii)"
 ]
}

 The dataset includes 2140331 records from 288 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002066-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive112264.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive112265.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0103912.10fu
title: SH0103912.10FU

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: 10.5517/ccdc.csd.cc2p756b
title: CCDC 2479541: Experimental Crystal Structure Determination

description: Related Article: Eunsoo Yi, Jiyeong Song, Jihun Han, Ok-Sang Jung, Dongwon Kim, Young-A Lee|2025|J.Mol.Struct.|||doi:10.1016/j.molstruc.2025.144672
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.cc2p757c
title: CCDC 2479542: Experimental Crystal Structure Determination

description: Related Article: Eunsoo Yi, Jiyeong Song, Jihun Han, Ok-Sang Jung, Dongwon Kim, Young-A Lee|2025|J.Mol.Struct.|||doi:10.1016/j.molstruc.2025.144672
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: 10.13145/bacdive112265.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive112266.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0103913.10fu
title: SH0103913.10FU

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: 10.5517/ccdc.csd.cc2p759f
title: CCDC 2479544: Experimental Crystal Structure Determination

description: Related Article: Eunsoo Yi, Jiyeong Song, Jihun Han, Ok-Sang Jung, Dongwon Kim, Young-A Lee|2025|J.Mol.Struct.|||doi:10.1016/j.molstruc.2025.144672
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.cc2p75bg
title: CCDC 2479545: Experimental Crystal Structure Determination

description: Related Article: Eunsoo Yi, Jiyeong Song, Jihun Han, Ok-Sang Jung, Dongwon Kim, Young-A Lee|2025|J.Mol.Struct.|||doi:10.1016/j.molstruc.2025.144672
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.cc2p75ch
title: CCDC 2479546: Experimental Crystal Structure Determination

description: Related Article: Eunsoo Yi, Jiyeong Song, Jihun Han, Ok-Sang Jung, Dongwon Kim, Young-A Lee|2025|J.Mol.Struct.|||doi:10.1016/j.molstruc.2025.144672
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: 10.13145/bacdive112266.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive112267.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.5517/ccdc.csd.cc2p75dj
title: CCDC 2479547: Experimental Crystal Structure Determination

description: Related Article: Eunsoo Yi, Jiyeong Song, Jihun Han, Ok-Sang Jung, Dongwon Kim, Young-A Lee|2025|J.Mol.Struct.|||doi:10.1016/j.molstruc.2025.144672
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: 10.13145/bacdive112267.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive112268.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0103914.10fu
title: SH0103914.10FU

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/sh0103915.10fu
title: SH0103915.10FU

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: 10.25505/fiz.icsd.cc2pp38s
title: CSD 2492935: Experimental Crystal Structure Determination

description: Related Article: Ritobroto Sikdar, Dundappa Mumbaraddi, Pritam Das, Arthur Mar|2025|J.Solid State Chem.|354||doi:10.1016/j.jssc.2025.125745
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2pp39t
title: CSD 2492936: Experimental Crystal Structure Determination

description: Related Article: Ritobroto Sikdar, Dundappa Mumbaraddi, Pritam Das, Arthur Mar|2025|J.Solid State Chem.|354||doi:10.1016/j.jssc.2025.125745
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.13145/bacdive112268.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.25505/fiz.icsd.cc2pp3bv
title: CSD 2492937: Experimental Crystal Structure Determination

description: Related Article: Ritobroto Sikdar, Dundappa Mumbaraddi, Pritam Das, Arthur Mar|2025|J.Solid State Chem.|354||doi:10.1016/j.jssc.2025.125745
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2pp3cw
title: CSD 2492938: Experimental Crystal Structure Determination

description: Related Article: Ritobroto Sikdar, Dundappa Mumbaraddi, Pritam Das, Arthur Mar|2025|J.Solid State Chem.|354||doi:10.1016/j.jssc.2025.125745
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.13145/bacdive112269.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive112269.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0103916.10fu
title: SH0103916.10FU

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: 10.25505/fiz.icsd.cc2pp3dx
title: CSD 2492939: Experimental Crystal Structure Determination

description: Related Article: Ritobroto Sikdar, Dundappa Mumbaraddi, Pritam Das, Arthur Mar|2025|J.Solid State Chem.|354||doi:10.1016/j.jssc.2025.125745
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2pp3fy
title: CSD 2492940: Experimental Crystal Structure Determination

description: Related Article: Ritobroto Sikdar, Dundappa Mumbaraddi, Pritam Das, Arthur Mar|2025|J.Solid State Chem.|354||doi:10.1016/j.jssc.2025.125745
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.13145/bacdive112270.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive112270.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0103917.10fu
title: SH0103917.10FU

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: 10.13145/bacdive112271.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive112271.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.