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

description: A dataset containing 6855 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pan troglodytes (Blumenbach, 1775)"
 ]
}

 The dataset includes 6855 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070381-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z35xfn
title: Occurrence Download

description: A dataset containing 460 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ammoecius lusitanicus Erichson, 1848",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 460 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070383-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7483/opendata.cms.vcv4.rjkn
title: /QCD_bEnriched_HT700to1000_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.z84t.nrfo
title: /QCD_bEnriched_HT700to1000_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.i0hj.t5jt
title: /QCD_pomflux_Pt-30_TuneCP5_13TeV-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.0bmt.38uw
title: /QCD_pomflux_Pt-30_TuneCP5_13TeV-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.btll.qjjd
title: /QGToDYQTo2L_TuneCP5_13TeV-pythia8-photos/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.2wc1.rtzx
title: /QGToDYQTo2L_TuneCP5_13TeV-pythia8-photos/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.x8p5.w2p2
title: /QGToWQToLNu_TuneCP5_13TeV-pythia8-photos/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.lxyp.ye2v
title: /QGToWQToLNu_TuneCP5_13TeV-pythia8-photos/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.s42y.02co
title: /QstarToQW_M_2000_mW_170_TuneCP2_13TeV-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.yknn.7gbx
title: /QstarToQW_M_2000_mW_170_TuneCP2_13TeV-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.q4rl.onzn
title: /QstarToQW_M_2000_mW_25_TuneCP2_13TeV-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.hn62.ld2w
title: /QstarToQW_M_2000_mW_25_TuneCP2_13TeV-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.mb72.u5k3
title: /QstarToQW_M_2000_mW_400_TuneCP2_13TeV-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.iiyx.lips
title: /QstarToQW_M_2000_mW_400_TuneCP2_13TeV-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.cnu6.jahe
title: /QstarToQW_M_2000_mW_80_TuneCP2_13TeV-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.jxjk.73rc
title: /QstarToQW_M_2000_mW_80_TuneCP2_13TeV-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.dq5l.zhl5
title: /QstarToQW_M_3000_mW_170_TuneCP2_13TeV-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.arpk.b81s
title: /QstarToQW_M_3000_mW_170_TuneCP2_13TeV-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.pwnt.z59p
title: /QstarToQW_M_3000_mW_25_TuneCP2_13TeV-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.5281/zenodo.14650438
title: Metagenomic Assemblies Genomes and Metagenomics Assemblies Viral Genomes from several marine metagenomic samples sequenced with long (PacBio Sequel II) and short (Illumina NextSeq) sequencing technologies.

description: Metagenome-assembled genomes (MAGs) and Metagenome-assembled viral genomes (MAVGs) obtained from four samples collected from a single offshore site in the Western Mediterranean Sea. Three samples were taken from different depths of the epipelagic and stratified (summer) water column, corresponding to the upper photic layer (UP; Med-OCT2021-15m), the deep chlorophyll maximum (DCM; Med-SEP2022-60m), and the lower photic layer (LP; Med-OCT2021-75m). An additional sample was collected in winter during the mixing period (MIX; MedWinter-JAN2019). Samples were sequenced using second-generation (Illumina NextSeq; short reads) and third-generation (PacBio Sequel II; long reads). Illumina raw reads and PacBio CCS reads have been submitted to NCBI SRA and are available under BioProject accession numbers PRJNA1088973 and PRJNA674982. In addition, MAGs have been also deposited under BioProject accession number PRJNA1088973.
DOI: 10.5281/zenodo.14650439
title: Metagenomic Assemblies Genomes and Metagenomics Assemblies Viral Genomes from several marine metagenomic samples sequenced with long (PacBio Sequel II) and short (Illumina NextSeq) sequencing technologies.

description: Metagenome-assembled genomes (MAGs) and Metagenome-assembled viral genomes (MAVGs) obtained from four samples collected from a single offshore site in the Western Mediterranean Sea. Three samples were taken from different depths of the epipelagic and stratified (summer) water column, corresponding to the upper photic layer (UP; Med-OCT2021-15m), the deep chlorophyll maximum (DCM; Med-SEP2022-60m), and the lower photic layer (LP; Med-OCT2021-75m). An additional sample was collected in winter during the mixing period (MIX; MedWinter-JAN2019). Samples were sequenced using second-generation (Illumina NextSeq; short reads) and third-generation (PacBio Sequel II; long reads). Illumina raw reads and PacBio CCS reads have been submitted to NCBI SRA and are available under BioProject accession numbers PRJNA1088973 and PRJNA674982. In addition, MAGs have been also deposited under BioProject accession number PRJNA1088973.
DOI: 10.7483/opendata.cms.rpic.19p8
title: /QstarToQW_M_3000_mW_25_TuneCP2_13TeV-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.5281/zenodo.14631576
title: dataset_new_evidence_on_the_pseudorelative_first_hypothesis
DOI: 10.5281/zenodo.14631577
title: dataset_new_evidence_on_the_pseudorelative_first_hypothesis
DOI: 10.7483/opendata.cms.ykep.yat3
title: /QstarToQW_M_3000_mW_400_TuneCP2_13TeV-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.s6i3.2fyl
title: /QstarToQW_M_3000_mW_400_TuneCP2_13TeV-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.q7o0.0nq1
title: /QstarToQW_M_3000_mW_80_TuneCP2_13TeV-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.gufj.9j38
title: /QstarToQW_M_3000_mW_80_TuneCP2_13TeV-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.pb8g.jd0m
title: /QstarToQW_M_5000_mW_170_TuneCP2_13TeV-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.syjt.8ds1
title: /QstarToQW_M_5000_mW_170_TuneCP2_13TeV-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.jwvv.ru90
title: /QstarToQW_M_5000_mW_25_TuneCP2_13TeV-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.30im.pgxv
title: /QstarToQW_M_5000_mW_25_TuneCP2_13TeV-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.5281/zenodo.14647504
title: OpenFE 2024 Industry Benchmarking Project, Results from MCS_Docking Renin Set

description: Dataset for the OpenFE Benchmark for the MCS_Docking Renin Set. 

openfe, version 1.0.1

Simulation details can be found in the GitHub repository https://github.com/OpenFreeEnergy/IndustryBenchmarks2024
DOI: 10.5281/zenodo.14647505
title: OpenFE 2024 Industry Benchmarking Project, Results from MCS_Docking Renin Set

description: Dataset for the OpenFE Benchmark for the MCS_Docking Renin Set. 

openfe, version 1.0.1

Simulation details can be found in the GitHub repository https://github.com/OpenFreeEnergy/IndustryBenchmarks2024
DOI: 10.7483/opendata.cms.yo23.jfzn
title: /QstarToQW_M_5000_mW_400_TuneCP2_13TeV-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.2qvp.w95k
title: /QstarToQW_M_5000_mW_400_TuneCP2_13TeV-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.5281/zenodo.14648186
title: OpenFE 2024 Industry Benchmarking Project, Results from JACS MCL1

description: OpenFE 2024 Industry Benchmarking Project, Results from JACS MCL1

OpenFE version v1.0.1.

Simulation details can be found in the GitHub repository https://github.com/OpenFreeEnergy/IndustryBenchmarks2024
DOI: 10.5281/zenodo.14648187
title: OpenFE 2024 Industry Benchmarking Project, Results from JACS MCL1

description: OpenFE 2024 Industry Benchmarking Project, Results from JACS MCL1

OpenFE version v1.0.1.

Simulation details can be found in the GitHub repository https://github.com/OpenFreeEnergy/IndustryBenchmarks2024
DOI: 10.7483/opendata.cms.q2xc.apx5
title: /QstarToQW_M_5000_mW_80_TuneCP2_13TeV-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.5281/zenodo.14647863
title: OpenFE 2024 Industry Benchmarking Project, Results from mcs_docking HNE

description: OpenFE 2024 Industry Benchmarking Project, Results from mcs_docking HNE

OpenFE version v1.0.1.

Simulation details can be found in the GitHub repository https://github.com/OpenFreeEnergy/IndustryBenchmarks2024
DOI: 10.5281/zenodo.14647864
title: OpenFE 2024 Industry Benchmarking Project, Results from mcs_docking HNE

description: OpenFE 2024 Industry Benchmarking Project, Results from mcs_docking HNE

OpenFE version v1.0.1.

Simulation details can be found in the GitHub repository https://github.com/OpenFreeEnergy/IndustryBenchmarks2024
DOI: 10.7483/opendata.cms.ipkl.jnct
title: /QstarToQW_M_5000_mW_80_TuneCP2_13TeV-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.5281/zenodo.14650896
title: Eco-hydrological response to climate changes and ecological restoration in the karst region of Southwest China

description: Meteorological data and surface feature data from 1980-2020
DOI: 10.5281/zenodo.14650897
title: Eco-hydrological response to climate changes and ecological restoration in the karst region of Southwest China

description: Meteorological data and surface feature data from 1980-2020
DOI: 10.7483/opendata.cms.7kf1.o7ju
title: /Radion_ggF_ZZ_ZlepZhad_narrow_M1000_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.hwli.8q1u
title: /Radion_ggF_ZZ_ZlepZhad_narrow_M1000_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.zf2l.5sc2
title: /Radion_ggF_ZZ_ZlepZhad_narrow_M1200_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.166l.gglq
title: /Radion_ggF_ZZ_ZlepZhad_narrow_M1200_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.2jlk.01y0
title: /Radion_ggF_ZZ_ZlepZhad_narrow_M1400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.jeih.q9hd
title: /Radion_ggF_ZZ_ZlepZhad_narrow_M1400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.5281/zenodo.10033892
title: ChromoPhyloGen: characterizing copy number alteration patterns in heterogeneous tumor cell populations at Single-Cell Resolution

description: The human liver cancer cell line Huh7 was obtained from the American Type Culture Collection (ATCC). Huh7 cells were cultivated in Dulbecco's Modified Eagle Medium (DMEM, Gibco, C11995), supplemented with 1% penicillin/streptomycin (Gibco, 15140122), and 10% fetal bovine serum (FBS, Excell, FSP500). Huh7 cell line was maintained under a 95% O2 and 5% CO2 humidified atmosphere in an incubator at 37˚C. 

The scDNA-seq library was performed using the Chromium Single cell DNA Library & Gel Bead kit (10x Genomics, PN1000040) in combination with the Chromium instrument. The samples were processed on Chromium Single cell Chip C and D (10x Genomics, 1000022 and 1000042, respectively) according to the manufacturer's user guide and subsequently run on a thermocycler. The barcoded libraries were sequenced using the Novaseq 6000 300 cycle high-output flow cells.

The scRNA-seq library was generated using the 10x Genomics Chromium Single Cell 3' & Gel Bead Kit v3 (10x Genomics, PN100075) in combination with the Chromium instrument. The samples were processed on Chromium Single cell Chip B (10x Genomics,1000154) according to the manufacturer's protocol and subsequently run on a thermocycler. The 3' gene expression libraries were sequenced using the Novaseq 6000 300 cycle high-output flow cells.
DOI: 10.5281/zenodo.10033893
title: ChromoPhyloGen: characterizing copy number alteration patterns in heterogeneous tumor cell populations at Single-Cell Resolution

description: The human liver cancer cell line Huh7 was obtained from the American Type Culture Collection (ATCC). Huh7 cells were cultivated in Dulbecco's Modified Eagle Medium (DMEM, Gibco, C11995), supplemented with 1% penicillin/streptomycin (Gibco, 15140122), and 10% fetal bovine serum (FBS, Excell, FSP500). Huh7 cell line was maintained under a 95% O2 and 5% CO2 humidified atmosphere in an incubator at 37˚C. 

The scDNA-seq library was performed using the Chromium Single cell DNA Library & Gel Bead kit (10x Genomics, PN1000040) in combination with the Chromium instrument. The samples were processed on Chromium Single cell Chip C and D (10x Genomics, 1000022 and 1000042, respectively) according to the manufacturer's user guide and subsequently run on a thermocycler. The barcoded libraries were sequenced using the Novaseq 6000 300 cycle high-output flow cells.

The scRNA-seq library was generated using the 10x Genomics Chromium Single Cell 3' & Gel Bead Kit v3 (10x Genomics, PN100075) in combination with the Chromium instrument. The samples were processed on Chromium Single cell Chip B (10x Genomics,1000154) according to the manufacturer's protocol and subsequently run on a thermocycler. The 3' gene expression libraries were sequenced using the Novaseq 6000 300 cycle high-output flow cells.
DOI: 10.15468/dl.8cw26p
title: Occurrence Download

description: A dataset containing 375465 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-7.32215 37.29274,-7.31023 37.10655,-4.68861 36.16876,-2.31999 36.45756,-2.83423 38.94764,-3.30172 39.08083,-4.11204 39.18961,-7.24423 38.64401,-7.32215 37.29274))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 375465 records from 518 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070336-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7483/opendata.cms.k7ew.m3tw
title: /Radion_ggF_ZZ_ZlepZhad_narrow_M1600_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.oz4v.aim7
title: /Radion_ggF_ZZ_ZlepZhad_narrow_M1600_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.wt45.opku
title: /Radion_ggF_ZZ_ZlepZhad_narrow_M1800_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.1594/pangaea.974487
title: Air temperature at a height of 2 m in Kozia Dolina Valley (Tatra Mts.)

description: The climate of a high-altitude postglacial cirque, such as Kozia Dolinka, is conducive to the occurrence of permafrost. Both the depth of permafrost and the area it covers, as well as the presence of year-round snow patches, can serve as indicators for assessing the impact of global warming on the climate of mountains, including the Tatras. With few meteorological stations to survey the remote and inaccessible high-altitude areas of the Tatra Mountains, any research must rely on measurements spanning limited time periods. Against this background, the 5-year series of temperature measurements from the Kozia Dolinka cirque obtained by the Institute of Geography and Spatial Organization of the Polish Academy of Sciences (IGiPZ PAN) can be used to analyze air temperature patterns on concave and convex terrain forms in the alpine climate zone if compared to the results of measurements from stations of the State Hydrological and Meteorological Service located nearby, i.e. the Kasprowy Wierch High Mountain Meteorological Observatory and the Hala Gąsienicowa Nival Research Station of the Institute of Meteorology and Water Management, National Research Institute (IMGW-PIB). This study confirms that there is a relationship between air temperature and the formation and duration of snow cover on concave and convex terrain forms. It also reveals a hitherto unknown fact that concave terrain forms, i.e. postglacial cirques, of the alpine zone have milder thermal conditions in winter than convex terrain forms. The analyses highlight the need for further, more detailed research using modern automated meteorological stations.
DOI: 10.7483/opendata.cms.2loz.0zqn
title: /Radion_ggF_ZZ_ZlepZhad_narrow_M1800_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.15468/dl.rs4ued
title: Occurrence Download

description: A dataset containing 620 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Microcladia glandulosa (Solander ex Turner) Greville"
 ]
}

 The dataset includes 620 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070387-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7483/opendata.cms.zmoa.5xhk
title: /Radion_ggF_ZZ_ZlepZhad_narrow_M2000_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.vd5x.f95z
title: /Radion_ggF_ZZ_ZlepZhad_narrow_M2000_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.15468/dl.r82uwe
title: Occurrence Download

description: A dataset containing 1869 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ampedus aethiops (Lacordaire, 1835)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1869 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070386-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13731918
title: VoiceWukong: Benchmarking Deepfake Voice Detection (part_aa)

description: VoiceWukong

VoiceWukong is a comprehensive benchmark for deepfake voice detection, designed to evaluate the performance of various detectors in real-world application scenarios.

Dataset Features



Large Scale: Contains 265,200 English and 148,200 Chinese deepfake voice samples

Diverse Sources: Covers voice samples generated by 19 commercial tools and 15 open-source tools

Real-world Scenarios: Constructed 38 data variants covering 6 types of audio manipulations common in practical applications

Bilingual Support: Supports evaluation in both Chinese and English languages


Evaluation Results



Conducted comprehensive evaluations on 12 state-of-the-art deepfake voice detectors

AASIST2 achieved the best performance with an Equal Error Rate (EER) of 13.50%

Other detectors showed EERs exceeding 20%

Results indicate significant challenges for current detectors in practical applications


Human-Machine Comparison Study



Conducted user studies with over 300 participants

Comparative analysis of detection capabilities among humans, detectors, and multimodal large language models (Qwen2-Audio)

Different detectors and humans showed varying identification capabilities for deepfake voices at different deception levels

Multimodal large language models demonstrated no effective detection ability


Dataset

This is the first part of the dataset, and it requires the complete download of both part_aa and part_ab for proper extraction and use. Please ensure that both files are in the same folder. For a detailed introduction to the data, please refer to our paper (to be made available).

The second part (part_ab) is at part_abextract command : cat VoiceWukong.part_* | tar -xz

Leaderboard

Our leaderboard presents comprehensive evaluation results in three main sections:



Overall Performance - General evaluation metrics for each detector across the entire dataset, providing a broad view of detection capabilities.

Manipulation-specific Performance - Detailed results showing how each detector performs under different types of audio manipulations, offering insights into specific strengths and weaknesses.

User Study-based Evaluation - Performance analysis of detectors on deepfake voices categorized by difficulty levels based on our user study results, demonstrating detector effectiveness across varying deception capabilities.


Visit our leaderboard(github.io) for detailed performance metrics and rankings. Additionally, we provide a copy of the leaderboard code here for premanent storage.

Evaluated Detectors' Weighted Models



All evaluated detectors’ weighted models can be obtained from huggingface.co. Additionally, we provide a copy of the weights files here for premanent storage.


User Study Results & Original Outputs



This code repository(github) stores our user study results and the original outputs of the evaluation detectors. Additionally, we provide a copy of the code repository here for permanent storage.


Note: VoiceWukong prohibits use for commercial purposes.
DOI: 10.7483/opendata.cms.lmui.cxk8
title: /Radion_ggF_ZZ_ZlepZhad_narrow_M2500_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM