cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.83w9v5
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dimerostemma hieronymi (Hassl.) M.D.Moraes"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031661-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xu46vx
title: Occurrence Download

description: A dataset containing 394 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scorzoneroides salzmannii (Sch.Bip.) Greuter & Talavera"
 ]
}

 The dataset includes 394 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0121148-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k5qkf3
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepanthes volador Luer & Hirtz"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007429-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kanzh8
title: Occurrence Download

description: A dataset containing 60653 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is UK Roadkill Records",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 60653 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016451-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2rra7q
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ceropegia sprengeri (E.Dammann & Sprenger) Bruyns"
 ]
}

 The dataset includes 56 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031714-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yf35vk
title: Occurrence Download

description: A dataset containing 55277 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "OccurrenceStatus is Present",
 "TaxonKey is Cirsium vulgare (Savi) Ten."
 ]
}

 The dataset includes 55277 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0121147-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8gp854
title: Occurrence Download

description: A dataset containing 445856 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lycopus europaeus L."
 ]
}

 The dataset includes 445856 records from 1529 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016445-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ezzt8
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Neovison vison",
 "Country is Kazakhstan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027521-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wxpvk3
title: Occurrence Download

description: A dataset containing 908680 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Galium aparine"
 ]
}

 The dataset includes 908680 records from 4203 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027393-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/11971325
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15156/bio/sh1390664.10fu
title: SH1390664.10FU

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/sh1390665.10fu
title: SH1390665.10FU

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/sh1390666.10fu
title: SH1390666.10FU

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/sh1390668.10fu
title: SH1390668.10FU

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/sh1390669.10fu
title: SH1390669.10FU

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/sh1390672.10fu
title: SH1390672.10FU

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/sh1390679.10fu
title: SH1390679.10FU

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/sh1390680.10fu
title: SH1390680.10FU

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: 10.21979/n9/nrvclm
title: Ultrafast Control of Néel Vector in Collinear Antiferromagnet MnPt

description: Exchange-bias-coupled spintronic terahertz emitters (EBC-STEs) utilize antiferromagnets (AFMs) as passive pinning layers for ferromagnetic spins and as detectors of spin currents. Conventionally, terahertz (THz) emission from STEs is attributed solely to the ferromagnetic subsystem, with the ultrafast magnetization dynamics of AFM considered undetectable due to its zero magnetic moment. Here, we propose a novel experimental approach to probe the ultrafast control and detection of magnetization dynamics driven by laser-induced optical torque on the Néel vector in collinear AFM MnPt. We isolate the underlying Néel vector dynamics from the ferromagnetic magnetization dynamics by transducing the canted magnetic moment into a distinct THz signal, which is confirmed by the emission observed in Pt/MnPt. We further demonstrate the exceptional robustness of the exchange bias under optical excitation. This work provides the first direct evidence of ultrafast AFM magnetization dynamics in an EBC-STE, transforming it from a passive emitter into a sensitive probe of interfacial ultrafast magnetism and unlocking the potential of antiferromagnetic THz spintronics.
DOI: 10.15156/bio/sh1390682.10fu
title: SH1390682.10FU

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: 10.5281/zenodo.18672121
title: Automating Firmware Vulnerability Triage via High-Level Representations and Similarity Digests

description: This repository contains the dataset, target artifacts, and analysis scripts used in the paper 'Automating Firmware Vulnerability Triage via High-Level Representations and Similarity Digests'.

📂 Repository Structure

openwrt-binary-analysis-corpus/
├── analysis/                  # Results and output data
│   ├── final_report.json      # Full results (TLSH function hashes + metadata)
│   ├── vuln_functions.json    # Manually extracted vulnerable functions (TLSH)
│   └── analysis_summary.json  # Summary of the analysis
├── firmware_images/           # OpenWrt firmware images (18.06.0 - 24.10.4)
│   ├── 18.06.0-x86_64-openwrt-18.06.0-x86-64-rootfs-ext4.img
│   ├── 18.06.0-arm-openwrt-18.06.0-armvirt-64-default-rootfs.tar.gz   
│   └── ...
├── target_binaries/       # Analyzed target binaries
│       ├── x86/
│       │   ├── dnsmasq-18.06.0
│       │   ├── opkg-18.06.0
│       │   ├── uhttpd-18.06.0
│       │   └── ...
│       └── arm/
│           └── ...
├── scripts/                # Automation tools
|   ├── apotheosis/         # APOTHEOSIS index construction script          
│   ├── script.py           # Main analysis script
│   └── requirements.txt    # Python dependencies
└── README.md
DOI: 10.5517/ccdc.csd.cc2pwb0y
title: CCDC 2498910: Experimental Crystal Structure Determination

description: Related Article: Alexey Gusev, Mikhail Kiskin, Elena Braga, Ekaterina Zamnius, Konstantin Zakharov, Andrey Tyutyunik, Valery Vlasenko, Ekaterina Zueva, Maria Petrova, Wolfgang Linert|2026|Dalton Trans.|55|3138|doi:10.1039/d5dt02744f
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.cc2pwb1z
title: CCDC 2498911: Experimental Crystal Structure Determination

description: Related Article: Alexey Gusev, Mikhail Kiskin, Elena Braga, Ekaterina Zamnius, Konstantin Zakharov, Andrey Tyutyunik, Valery Vlasenko, Ekaterina Zueva, Maria Petrova, Wolfgang Linert|2026|Dalton Trans.|55|3138|doi:10.1039/d5dt02744f
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.18672120
title: Automating Firmware Vulnerability Triage via High-Level Representations and Similarity Digests

description: This repository contains the dataset, target artifacts, and analysis scripts used in the paper 'Automating Firmware Vulnerability Triage via High-Level Representations and Similarity Digests'.

📂 Repository Structure

openwrt-binary-analysis-corpus/
├── analysis/                  # Results and output data
│   ├── final_report.json      # Full results (TLSH function hashes + metadata)
│   ├── vuln_functions.json    # Manually extracted vulnerable functions (TLSH)
│   └── analysis_summary.json  # Summary of the analysis
├── firmware_images/           # OpenWrt firmware images (18.06.0 - 24.10.4)
│   ├── 18.06.0-x86_64-openwrt-18.06.0-x86-64-rootfs-ext4.img
│   ├── 18.06.0-arm-openwrt-18.06.0-armvirt-64-default-rootfs.tar.gz   
│   └── ...
├── target_binaries/       # Analyzed target binaries
│       ├── x86/
│       │   ├── dnsmasq-18.06.0
│       │   ├── opkg-18.06.0
│       │   ├── uhttpd-18.06.0
│       │   └── ...
│       └── arm/
│           └── ...
├── scripts/                # Automation tools
|   ├── apotheosis/         # APOTHEOSIS index construction script          
│   ├── script.py           # Main analysis script
│   └── requirements.txt    # Python dependencies
└── README.md
DOI: 10.5517/ccdc.csd.cc2pwb20
title: CCDC 2498912: Experimental Crystal Structure Determination

description: Related Article: Alexey Gusev, Mikhail Kiskin, Elena Braga, Ekaterina Zamnius, Konstantin Zakharov, Andrey Tyutyunik, Valery Vlasenko, Ekaterina Zueva, Maria Petrova, Wolfgang Linert|2026|Dalton Trans.|55|3138|doi:10.1039/d5dt02744f
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.cc2pwb31
title: CCDC 2498913: Experimental Crystal Structure Determination

description: Related Article: Alexey Gusev, Mikhail Kiskin, Elena Braga, Ekaterina Zamnius, Konstantin Zakharov, Andrey Tyutyunik, Valery Vlasenko, Ekaterina Zueva, Maria Petrova, Wolfgang Linert|2026|Dalton Trans.|55|3138|doi:10.1039/d5dt02744f
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.cc2m3m9p
title: CCDC 2416552: Experimental Crystal Structure Determination

description: Related Article: Wen-Hui Huang, Qian-Qian Liang, Zi-Chen Shi, Jian-Hui Yang, Bin Liu|2026|Dalton Trans.|55|3011|doi:10.1039/d5dt02334c
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.cc2nqgjd
title: CCDC 2464454: Experimental Crystal Structure Determination

description: Related Article: Wen-Hui Huang, Qian-Qian Liang, Zi-Chen Shi, Jian-Hui Yang, Bin Liu|2026|Dalton Trans.|55|3011|doi:10.1039/d5dt02334c
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: 10.25505/fiz.icsd.cc2q012w
title: CSD 2502477: Experimental Crystal Structure Determination

description: Related Article: Wei-Xin Yan, Dong-Mei Zhu, Ke Shu, Huai-Hai Li, Hai-Long Xu, Dong-Yun Gui, Ying Zhai, Chun-Hai Wang|2026|J.Mater.Chem.A|14|6540|doi:10.1039/d5ta09212d
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: 10.5517/ccdc.csd.cc2pzjpx
title: CCDC 2502000: Experimental Crystal Structure Determination

description: Related Article: Pallaba Ganjan Dalai, Dinabandhu Barik, Supriya Manna, Allu Lokesh, Bhisma K. Patel|2026|Chem.Commun.|62|4076|doi:10.1039/d6cc00112b
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.