cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15336997
title: UAVIDS-2025: A Benchmark Dataset for Intrusion Detection in UAV Networks Using Machine Learning Techniques

description: UAVIDS-2025 is a comprehensive benchmark dataset designed for evaluating intrusion detection systems (IDS) in UAV (Unmanned Aerial Vehicle) swarm networks. The dataset was generated through extensive simulations using the NS-3.24 network simulator, with realistic UAV mobility modeled by an extended BOID algorithm. It includes 122,171 labeled flow records across five traffic categories: Normal, Blackhole, Flooding, Sybil, and Wormhole attacks.

Each data sample represents a network flow characterized by 22 features, grouped into connection, traffic volume, and performance metrics. The simulations were configured with IEEE 802.11ac wireless standards, AODV routing, and a Nakagami channel model to ensure realism. This dataset enables the evaluation of machine learning-based IDS under various scenarios, including imbalanced attack distributions and swarm mobility.

The dataset supports research in:



Supervised/unsupervised intrusion detection

Federated learning and decentralized security

Adversarial robustness and synthetic data generation


UAVIDS-2025 is intended to provide a reproducible, scalable, and diverse testbed for the research community working on the security of UAV networks.

 

If you are using our dataset, you should cite our related paper which outlining the details of the dataset and its underlying principles:

@inproceedings{zeng2025uavids,  title={Uavids-2025: A benchmark dataset for intrusion detection in uav networks using machine learning techniques},  author={Zeng, Qingli and Bashir, Abdalrahman and Nait-Abdesselam, Farid},  booktitle={2025 IEEE Conference on Communications and Network Security (CNS)},  pages={1--9},  year={2025},  organization={IEEE}}

@inproceedings{QingliFedGraph-ID, title={FedGraph-ID: A Federated Graph Learning Framework for Intrusion Detection in UAV Networks Under Adversarial Settings}, author={Zeng, Qingli and Fu, Yinjin  and Nait-Abdesselam, Farid}, booktitle={IEEE INFOCOM 2026-IEEE Conference on Computer Communications}, year={2026}, organization={IEEE}}
DOI: 10.5281/zenodo.15336998
title: UAVIDS-2025: A Benchmark Dataset for Intrusion Detection in UAV Networks Using Machine Learning Techniques

description: UAVIDS-2025 is a comprehensive benchmark dataset designed for evaluating intrusion detection systems (IDS) in UAV (Unmanned Aerial Vehicle) swarm networks. The dataset was generated through extensive simulations using the NS-3.24 network simulator, with realistic UAV mobility modeled by an extended BOID algorithm. It includes 122,171 labeled flow records across five traffic categories: Normal, Blackhole, Flooding, Sybil, and Wormhole attacks.

Each data sample represents a network flow characterized by 22 features, grouped into connection, traffic volume, and performance metrics. The simulations were configured with IEEE 802.11ac wireless standards, AODV routing, and a Nakagami channel model to ensure realism. This dataset enables the evaluation of machine learning-based IDS under various scenarios, including imbalanced attack distributions and swarm mobility.

The dataset supports research in:



Supervised/unsupervised intrusion detection

Federated learning and decentralized security

Adversarial robustness and synthetic data generation


UAVIDS-2025 is intended to provide a reproducible, scalable, and diverse testbed for the research community working on the security of UAV networks.

 

If you are using our dataset, you should cite our related paper which outlining the details of the dataset and its underlying principles:

@inproceedings{zeng2025uavids,  title={Uavids-2025: A benchmark dataset for intrusion detection in uav networks using machine learning techniques},  author={Zeng, Qingli and Bashir, Abdalrahman and Nait-Abdesselam, Farid},  booktitle={2025 IEEE Conference on Communications and Network Security (CNS)},  pages={1--9},  year={2025},  organization={IEEE}}

@inproceedings{QingliFedGraph-ID, title={FedGraph-ID: A Federated Graph Learning Framework for Intrusion Detection in UAV Networks Under Adversarial Settings}, author={Zeng, Qingli and Fu, Yinjin  and Nait-Abdesselam, Farid}, booktitle={IEEE INFOCOM 2026-IEEE Conference on Computer Communications}, year={2026}, organization={IEEE}}
DOI: 10.5281/zenodo.18342420
title: Scholars in the BRICS Academic Forum (2021-2025)
DOI: 10.5281/zenodo.18342421
title: Scholars in the BRICS Academic Forum (2021-2025)
DOI: 10.15468/dl.kdsty6
title: Occurrence Download

description: A dataset containing 6666126 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "Geometry POLYGON((-82.86482 16.82129,-82.99064 10.69803,-80.95655 9.314,-78.98536 9.7334,-77.97879 9.23012,-76.63671 7.53154,-74.03642 9.98504,-70.55538 11.91429,-70.93285 15.39533,-77.60133 17.05196,-82.86482 16.82129))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6666126 records from 1426 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005142-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p3bhx3
title: Occurrence Download

description: A dataset containing 30315 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Araceae"
 ]
}

 The dataset includes 30315 records from 252 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005193-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7zrkxf
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "DatasetKey is one of (P herbarium - Muséum national d’Histoire naturelle - Amostras Brasileiras Repatriadas - Herbário Virtual REFLORA, The vascular plants collection (P) at the Herbarium of the Muséum national d'Histoire Naturelle (MNHN - Paris), Instituto de Botánica Darwinion, Royal Botanic Gardens, Kew - Herbarium Specimens, Tropicos Specimens Non-MO)",
 "TaxonKey is Bauhinia affinis"
 ]
}

 The dataset includes 53 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031408-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j674kz
title: Occurrence Download

description: A dataset containing 590 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "DatasetKey is one of (NMNH Extant Specimen Records (USNM, US), Tropicos MO Specimen Data, Tropicos Specimens Non-MO, Field Museum of Natural History (Botany) Seed Plant Collection, University of South Florida Herbarium (USF), The vascular plants collection (P) at the Herbarium of the Muséum national d'Histoire Naturelle (MNHN - Paris), Colección Botánica del Herbario Universitario PORT, The New York Botanical Garden Herbarium (NY), Royal Botanic Gardens, Kew - Herbarium Specimens)",
 "OccurrenceStatus is Present",
 "TaxonKey is Bauhinia aculeata"
 ]
}

 The dataset includes 590 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031412-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.j5typg9h
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (753 records)
DOI: 10.15468/dl.dvk5ux
title: Occurrence Download

description: A dataset containing 24642 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is South America",
 "Country is one of (Colombia, Peru, Ecuador, Bolivia (Plurinational State of))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lesbia nuna"
 ]
}

 The dataset includes 24642 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031411-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j4c2e8
title: Occurrence Download

description: A dataset containing 233450 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cucullia speyeri Lintner, 1874, Ctenoplusia oxygramma (Hampson, 1892), Uroleucon erigeronense (Thomas, 1878), Ufens ceratus Owen, 2005, Eurytoma studiosa Say, 1836, Gonatocerus morrilli (Howard, 1908), Heriades variolosa (Cresson, 1872), Pissonotus binotatus Spooner, 1912, Melissodes pallidisignatus Cockerell, 1905, Argynnis zerene puntareyes, Lasioglossum kincaidii (Cockerell, 1898), Erigeron glaucus Ker Gawl., Dodona durga Kollar & Redtenbacher, 1844, Cacyreus marshalli Butler, 1897, Eumenes coarctatus (Linnaeus, 1758), Polistes badius Gerst., 1873, Ammophila heydeni Dahlbom, 1845, Encarsia gennaroi Pedata & Giorgini, 2016, Encarsia japonica Viggiani, 1981, Deudorix livia (Klug, 1834), Platypleura kaempferi (Fabricius, 1794), Blastobasis eriobotryae Busck, 1915, Euproctis rufopunctata Walker, 1862, Pogononeura xantholepis Hampson, 1910, Tarundia cinctipennis Stål, 1862, Tylana indecora Stål, 1869, Amazona finschi (P.L.Sclater, 1864), Spilocaea pyracanthae (G.H.Otth) Arx, Hadroca bualacauda Stiller, 2023, Geelus vurkdraad Stiller, 2020, Euphilotes rita (Barnes & McDunnough, 1916), Heliolonche celeris Grote, 1873, Thevenetimyia celer (Cole & Lovett, 1919), Krombeinopyga pumila, Pyrausta unifascialis Packard, 1873, Andrena auricoma Smith, 1879, Osmia montana quadriceps Cresson, 1878, Acmaeodera retifera LeConte, 1859, Gopherus agassizii (Cooper, 1861), Peronospora erodii Fuckel, Amblyptilia punctidactyla (Haworth, 1811), Agapornis roseicollis (Vieillot, 1818), Aricia artaxerxes (Fabricius, 1793), Limobius borealis (Paykull & G.de, 1792), Limobius mixtus (Boheman, 1834), Lixus vilis (P.Rossi, 1790), Podosphaera erodii (Durieu & Mont.) U.Braun & S.Takam., Lasiocampa trifolii (Denis & Schiffermüller), 1775, Acyrthosiphon kondoi Shinji, 1938, Acyrthosiphon malvae (Mosley, 1841))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 233450 records from 1427 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009566-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29946461
title: Extended Data Fig. 2e - Scan 513 (ORB67411)

description: Extended Data Fig. 2e - Scan 513 (ORB67411)
DOI: 10.6084/m9.figshare.29946461.v1
title: Extended Data Fig. 2e - Scan 513 (ORB67411)

description: Extended Data Fig. 2e - Scan 513 (ORB67411)
DOI: 10.5517/cc5sn6s
title: CCDC 172645: Experimental Crystal Structure Determination

description: Related Article: E.V.Grachova, P.Jutzi, B.Neumann, L.O.Schebaum, H.-G.Stammler, S.P.Tunik|2002|J.Chem.Soc.,Dalton Trans.||302|doi:10.1039/b109327d
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/cc5t9nx
title: CCDC 173279: Experimental Crystal Structure Determination

description: Related Article: T.E.O.Screen, I.M.Blake, L.H.Rees, W.Clegg, S.J.Borwick, H.L.Anderson|2002|J.Chem.Soc.,Perkin Trans.1||320|doi:10.1039/b109915a
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/cc5t9py
title: CCDC 173280: Experimental Crystal Structure Determination

description: Related Article: T.E.O.Screen, I.M.Blake, L.H.Rees, W.Clegg, S.J.Borwick, H.L.Anderson|2002|J.Chem.Soc.,Perkin Trans.1||320|doi:10.1039/b109915a
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/cc5t9qz
title: CCDC 173281: Experimental Crystal Structure Determination

description: Related Article: T.E.O.Screen, I.M.Blake, L.H.Rees, W.Clegg, S.J.Borwick, H.L.Anderson|2002|J.Chem.Soc.,Perkin Trans.1||320|doi:10.1039/b109915a
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.15694661
title: Sewers to Seas: Exploring Pathogens and Antimicrobial Resistance on Microplastics from Hospital Wastewater to Marine Environments

description: Datasets generated by AMR ++ pipeline for the following publication:

Microplastic particles are extremely prevalent environmental pollutants which support microbial biofilms known as the ‘plastisphere’. Antimicrobial resistant (AMR) and pathogenic bacteria have been detected in these communities, but it is currently unknown whether microplastics pose a unique risk in terms of AMR or pathogen enrichment. In addition, previous work has been largely lab-based, so it is difficult to understand the role of different substrates in supporting AMR pathogens within the environment, and how this varies as a function of levels of pollution from wastewater. This study investigated in situ bacterial colonisation dynamics on microplastics alongside natural, inert and free-living controls. Samples were incubated along a transect predicted to decrease in anthropogenic pollution, and taxonomy, AMR gene and pathogen presence were assessed using whole metagenome sequencing. Several AMR gene (e.g. aminoglycosides, oxazolidinones and tetracyclines) and pathogen classes (e.g. Flavobacteriia, Chlamydiia and Sphingobacteriia) of concern were detected, and increased in relative abundance in biofilms moving downstream, with polystyrene and HDPE nurdle communities posing a particular risk by supporting AMR bacteria. This work contributes to our understanding of how microplastics may support AMR development, persistence and dispersal in natural systems. In addition, these findings highlight the importance of considering the combined impacts of co-contaminants in wastewater settings, especially following spills into surface water.
DOI: 10.5281/zenodo.15694662
title: Sewers to Seas: Exploring Pathogens and Antimicrobial Resistance on Microplastics from Hospital Wastewater to Marine Environments

description: Datasets generated by AMR ++ pipeline for the following publication:

Microplastic particles are extremely prevalent environmental pollutants which support microbial biofilms known as the ‘plastisphere’. Antimicrobial resistant (AMR) and pathogenic bacteria have been detected in these communities, but it is currently unknown whether microplastics pose a unique risk in terms of AMR or pathogen enrichment. In addition, previous work has been largely lab-based, so it is difficult to understand the role of different substrates in supporting AMR pathogens within the environment, and how this varies as a function of levels of pollution from wastewater. This study investigated in situ bacterial colonisation dynamics on microplastics alongside natural, inert and free-living controls. Samples were incubated along a transect predicted to decrease in anthropogenic pollution, and taxonomy, AMR gene and pathogen presence were assessed using whole metagenome sequencing. Several AMR gene (e.g. aminoglycosides, oxazolidinones and tetracyclines) and pathogen classes (e.g. Flavobacteriia, Chlamydiia and Sphingobacteriia) of concern were detected, and increased in relative abundance in biofilms moving downstream, with polystyrene and HDPE nurdle communities posing a particular risk by supporting AMR bacteria. This work contributes to our understanding of how microplastics may support AMR development, persistence and dispersal in natural systems. In addition, these findings highlight the importance of considering the combined impacts of co-contaminants in wastewater settings, especially following spills into surface water.
DOI: 10.5517/cc5t9r0
title: CCDC 173282: Experimental Crystal Structure Determination

description: Related Article: T.E.O.Screen, I.M.Blake, L.H.Rees, W.Clegg, S.J.Borwick, H.L.Anderson|2002|J.Chem.Soc.,Perkin Trans.1||320|doi:10.1039/b109915a
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/cc5tjk1
title: CCDC 173493: Experimental Crystal Structure Determination

description: Related Article: T.Janosik, J.Bergman, B.Stensland, C.Stalhandske|2002|J.Chem.Soc.,Perkin Trans.1||330|doi:10.1039/b109840c
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/cc54bn8
title: CCDC 153129: Experimental Crystal Structure Determination

description: Related Article: A.Muller, S.K.Das, H.Bogge, M.Schmidtmann, A.Botar, A.Patrut|2001|Chem.Commun.||657|doi:10.1039/b009518b
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/cc5tjl2
title: CCDC 173494: Experimental Crystal Structure Determination

description: Related Article: T.Janosik, J.Bergman, B.Stensland, C.Stalhandske|2002|J.Chem.Soc.,Perkin Trans.1||330|doi:10.1039/b109840c
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/cc61f3r
title: CCDC 180113: Experimental Crystal Structure Determination

description: Related Article: Y.Yoshitake, J.Misaka, K.Setoguchi, M.Abe, T.Kawaji, M.Eto, K.Harano|2002|J.Chem.Soc.,Perkin Trans.2||1611|doi:10.1039/b201915a
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/cc61f4s
title: CCDC 180114: Experimental Crystal Structure Determination

description: Related Article: Y.Yoshitake, J.Misaka, K.Setoguchi, M.Abe, T.Kawaji, M.Eto, K.Harano|2002|J.Chem.Soc.,Perkin Trans.2||1611|doi:10.1039/b201915a
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/cc61f5t
title: CCDC 180115: Experimental Crystal Structure Determination

description: Related Article: Y.Yoshitake, J.Misaka, K.Setoguchi, M.Abe, T.Kawaji, M.Eto, K.Harano|2002|J.Chem.Soc.,Perkin Trans.2||1611|doi:10.1039/b201915a
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/cc537m3
title: CCDC 152074: Experimental Crystal Structure Determination

description: Related Article: H.Adams, S.Clunas, D.E.Fenton, S.E.Spey|2002|J.Chem.Soc.,Dalton Trans.||441|doi:10.1039/b107928j
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/cc61f6v
title: CCDC 180116: Experimental Crystal Structure Determination

description: Related Article: Y.Yoshitake, J.Misaka, K.Setoguchi, M.Abe, T.Kawaji, M.Eto, K.Harano|2002|J.Chem.Soc.,Perkin Trans.2||1611|doi:10.1039/b201915a
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/cc537p5
title: CCDC 152076: Experimental Crystal Structure Determination

description: Related Article: H.Adams, S.Clunas, D.E.Fenton, S.E.Spey|2002|J.Chem.Soc.,Dalton Trans.||441|doi:10.1039/b107928j
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/cc5vqf4
title: CCDC 174636: Experimental Crystal Structure Determination

description: Related Article: H.Adams, S.Clunas, D.E.Fenton, S.E.Spey|2002|J.Chem.Soc.,Dalton Trans.||441|doi:10.1039/b107928j
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.