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

description: A dataset containing 238732 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Iris pseudacorus L."
 ]
}

 The dataset includes 238732 records from 626 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024967-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ruux9e
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salvia azurea Lam.",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Continent is North America"
 ]
}

 The dataset includes 27 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0175870-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.93s44w
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Bassaricyon alleni Thomas, 1880"
 ]
}

 The dataset includes 67 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069759-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ix9h9r
title: Occurrence Download

description: A dataset containing 93 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Battus polystictus (Butler, 1874)"
 ]
}

 The dataset includes 93 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024970-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w8azz3
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Limnobium spongia (Bosc) Steud.",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Continent is North America"
 ]
}

 The dataset includes 27 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0164911-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.btrjje
title: Occurrence Download

description: A dataset containing 3325 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Melanitis leda Linnaeus, 1758"
 ]
}

 The dataset includes 3325 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024970-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q5gcea
title: Occurrence Download

description: A dataset containing 645 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Pteronotus gymnonotus (Natterer, 1843)"
 ]
}

 The dataset includes 645 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069758-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fkcycq
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hypericum dolabriforme Vent.",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Continent is North America"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0164928-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zdj934
title: Occurrence Download

description: A dataset containing 128 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Pelomys minor Cabrera & Ruxton, 1926"
 ]
}

 The dataset includes 128 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069809-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5aqowj
title: Occurrence Download

description: A dataset containing 613 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Deer Creek Riparian Restoration Ecological Monitoring"
 ]
}

 The dataset includes 613 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024971-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9e4p3r
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Physostegia intermedia (Nutt.) Engelm. & A.Gray",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Continent is North America"
 ]
}

 The dataset includes 60 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0175853-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.byhuad
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aspilia kunthiana (Gardner) S.F.Blake"
 ]
}

 The dataset includes 30 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0143305-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dwodsa
title: Occurrence Download

description: A dataset containing 528 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Mamíferos de Colombia"
 ]
}

 The dataset includes 528 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024971-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hftf9q
title: Occurrence Download

description: A dataset containing 142 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Pachyuromys duprasi Lataste, 1880"
 ]
}

 The dataset includes 142 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069793-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.buq7mg
title: Occurrence Download

description: A dataset containing 378 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Spain",
 "Country is Portugal"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Bactrospora patellarioides (Nyl.) Almq."
 ]
}

 The dataset includes 378 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003517-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5smeg6
title: Occurrence Download

description: A dataset containing 124 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Begonia tomentosa Schott"
 ]
}

 The dataset includes 124 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0143306-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hl1psy
title: Occurrence Download

description: A dataset containing 1362 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "Year 2005-2016",
 {
 "or" : [
 "TaxonKey is Coelomys Thomas, 1915",
 "TaxonKey is Mus",
 "TaxonKey is Nannomys Peters, 1876",
 "TaxonKey is Pyromys Thomas, 1911",
 "TaxonKey is Pyromys priestlyi Thomas, 1911"
 ]
 }
 ]
}

 The dataset includes 1362 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024972-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qtq2f6
title: Occurrence Download

description: A dataset containing 83 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((9.07943 44.26621,9.30117 44.26621,9.30117 44.35487,9.07943 44.35487,9.07943 44.26621))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Paramuricea clavata (Risso, 1827)"
 ]
}

 The dataset includes 83 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014512-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h3j2pp
title: Occurrence Download

description: A dataset containing 401403 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 1930-1940"
 ]
}

 The dataset includes 401403 records from 169 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0182461-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8b8aek
title: Occurrence Download

description: A dataset containing 706 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Atelopus spumarius Cope, 1871"
 ]
}

 The dataset includes 706 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024972-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nc47ds
title: Occurrence Download

description: A dataset containing 92 species occurrences available in GBIF matching the query:
{
 "or" : [
 "TaxonKey is Rhamnidium cognatum Reissek",
 "TaxonKey is Rhamnidium glabrum Reissek"
 ]
}

 The dataset includes 92 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0186948-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dthc66
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Hong Kong, Macao, Chinese Taipei)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Xanthium spinosum L."
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069790-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kknw5l
title: Occurrence Download

description: A dataset containing 9230 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Peromyscus difficilis (J.A.Allen, 1891)"
 ]
}

 The dataset includes 9230 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024972-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.42gr36
title: Occurrence Download

description: A dataset containing 148647 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acer negundo L."
 ]
}

 The dataset includes 148647 records from 1187 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069779-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r82pqk
title: Occurrence Download

description: A dataset containing 3599 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Triturus carnifex (Laurenti, 1768))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3599 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033709-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13854078
title: AFSC

description: SAR Ship Detection
DOI: 10.5281/zenodo.13854079
title: AFSC

description: SAR Ship Detection
DOI: 10.5281/zenodo.11171719
title: Codecfake dataset - training set (part 2 of 3)

description: This dataset is the training set (part 2 of 3) of the Codecfake dataset , corresponding to the manuscript "The Codecfake Dataset and Countermeasures for Universal Deepfake Audio Detection".

Abstract

With the proliferation of Audio Language Model (ALM) based deepfake audio, there is an urgent need for effective detection methods. Unlike traditional deepfake audio generation, which often involves multi-step processes culminating in vocoder usage, ALM directly utilizes neural codec methods to decode discrete codes into audio. Moreover, driven by large-scale data, ALMs exhibit remarkable robustness and versatility, posing a significant challenge to current audio deepfake detection (ADD)models. To effectively detect ALM-based deepfake audio, we focus on the mechanism of the ALM-based audio generation method, the conversion from neural codec to waveform. We initially construct the Codecfake dataset, an open-source large-scale dataset, including two languages, millions of audio samples, and various test conditions, tailored for ALM-based audio detection. Additionally, to achieve universal detection of deepfake audio and tackle domain ascent bias issue of original SAM, we proposethe CSAM strategy to learn a domain balanced and generalized minima. Experiment results demonstrate that co-training on Codecfake dataset and vocoded dataset with CSAM strategy yield the lowest average Equal Error Rate (EER) of 0.616% across all test conditions compared to baseline models.

Codecfake Dataset

Due to platform restrictions on the size of zenodo repositories, we have divided the Codecfake dataset into various subsets as shown in the table below:




Codecfake dataset
description
link


training set (part 1 of 3) & label
train_split.zip & train_split.z01 - train_split.z05
https://zenodo.org/records/13838106


training set (part 2 of 3)
train_split.z06 - train_split.z10
https://zenodo.org/records/13841652


training set (part 3 of 3)
train_split.z11 - train_split.z16
https://zenodo.org/records/13853860


development set
dev_split.zip & dev_split.z01 - dev_split.z02
https://zenodo.org/records/13841216


test set (part 1 of 2)
Codec test: C1.zip - C6.cip & ALM test: A1.zip - A3.zip
https://zenodo.org/records/13838823


test set (part 2 of 2)
Codec unseen test: C7.zip
https://zenodo.org/records/11125029




Countermeasure

The source code of the countermeasure and pre-trained model are available on GitHub https://github.com/xieyuankun/Codecfake.

 

The Codecfake dataset and pre-trained model are licensed with CC BY-NC-ND 4.0 license.
DOI: 10.5281/zenodo.13841652
title: Codecfake dataset - training set (part 2 of 3)

description: This dataset is the training set (part 2 of 3) of the Codecfake dataset , corresponding to the manuscript "The Codecfake Dataset and Countermeasures for Universal Deepfake Audio Detection".

Abstract

With the proliferation of Audio Language Model (ALM) based deepfake audio, there is an urgent need for effective detection methods. Unlike traditional deepfake audio generation, which often involves multi-step processes culminating in vocoder usage, ALM directly utilizes neural codec methods to decode discrete codes into audio. Moreover, driven by large-scale data, ALMs exhibit remarkable robustness and versatility, posing a significant challenge to current audio deepfake detection (ADD)models. To effectively detect ALM-based deepfake audio, we focus on the mechanism of the ALM-based audio generation method, the conversion from neural codec to waveform. We initially construct the Codecfake dataset, an open-source large-scale dataset, including two languages, millions of audio samples, and various test conditions, tailored for ALM-based audio detection. Additionally, to achieve universal detection of deepfake audio and tackle domain ascent bias issue of original SAM, we proposethe CSAM strategy to learn a domain balanced and generalized minima. Experiment results demonstrate that co-training on Codecfake dataset and vocoded dataset with CSAM strategy yield the lowest average Equal Error Rate (EER) of 0.616% across all test conditions compared to baseline models.

Codecfake Dataset

Due to platform restrictions on the size of zenodo repositories, we have divided the Codecfake dataset into various subsets as shown in the table below:




Codecfake dataset
description
link


training set (part 1 of 3) & label
train_split.zip & train_split.z01 - train_split.z05
https://zenodo.org/records/13838106


training set (part 2 of 3)
train_split.z06 - train_split.z10
https://zenodo.org/records/13841652


training set (part 3 of 3)
train_split.z11 - train_split.z16
https://zenodo.org/records/13853860


development set
dev_split.zip & dev_split.z01 - dev_split.z02
https://zenodo.org/records/13841216


test set (part 1 of 2)
Codec test: C1.zip - C6.cip & ALM test: A1.zip - A3.zip
https://zenodo.org/records/13838823


test set (part 2 of 2)
Codec unseen test: C7.zip
https://zenodo.org/records/11125029




Countermeasure

The source code of the countermeasure and pre-trained model are available on GitHub https://github.com/xieyuankun/Codecfake.

 

The Codecfake dataset and pre-trained model are licensed with CC BY-NC-ND 4.0 license.
DOI: 10.5281/zenodo.11171723
title: Codecfake dataset - training set (part 3 of 3)

description: This dataset is the training set (part 3 of 3) of the Codecfake dataset , corresponding to the manuscript "The Codecfake Dataset and Countermeasures for Universal Deepfake Audio Detection".

Abstract

With the proliferation of Audio Language Model (ALM) based deepfake audio, there is an urgent need for effective detection methods. Unlike traditional deepfake audio generation, which often involves multi-step processes culminating in vocoder usage, ALM directly utilizes neural codec methods to decode discrete codes into audio. Moreover, driven by large-scale data, ALMs exhibit remarkable robustness and versatility, posing a significant challenge to current audio deepfake detection (ADD)models. To effectively detect ALM-based deepfake audio, we focus on the mechanism of the ALM-based audio generation method, the conversion from neural codec to waveform. We initially construct the Codecfake dataset, an open-source large-scale dataset, including two languages, millions of audio samples, and various test conditions, tailored for ALM-based audio detection. Additionally, to achieve universal detection of deepfake audio and tackle domain ascent bias issue of original SAM, we proposethe CSAM strategy to learn a domain balanced and generalized minima. Experiment results demonstrate that co-training on Codecfake dataset and vocoded dataset with CSAM strategy yield the lowest average Equal Error Rate (EER) of 0.616% across all test conditions compared to baseline models.

Codecfake Dataset

Due to platform restrictions on the size of zenodo repositories, we have divided the Codecfake dataset into various subsets as shown in the table below:




Codecfake dataset
description
link


training set (part 1 of 3) & label
train_split.zip & train_split.z01 - train_split.z05
https://zenodo.org/records/13838106


training set (part 2 of 3)
train_split.z06 - train_split.z10
https://zenodo.org/records/13841652


training set (part 3 of 3)
train_split.z11 - train_split.z16
https://zenodo.org/records/13853860


development set
dev_split.zip & dev_split.z01 - dev_split.z02
https://zenodo.org/records/13841216


test set (part 1 of 2)
Codec test: C1.zip - C6.cip & ALM test: A1.zip - A3.zip
https://zenodo.org/records/13838823


test set (part 2 of 2)
Codec unseen test: C7.zip
https://zenodo.org/records/11125029




Countermeasure

The source code of the countermeasure and pre-trained model are available on GitHub https://github.com/xieyuankun/Codecfake.

The Codecfake dataset and pre-trained model are licensed with CC BY-NC-ND 4.0 license.