cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.11385661
title: ESC-50-Voice: Dataset of vocal imitation for environmental sound in ESC-50

description: Description

This is a dataset with vocal imitation, which involve the process of replicating or mimicking the rhythm and pitch of sounds by voice for an environmental sound in ESC-50 [1] that can be used in various tasks that use environmental sounds. The dataset consists of 9,920 vocal imitations (8 imitators per environmental sound). Each imitator is a Japanese speaker. All audio data are 48kHz/16bit wav files. 

Each audio file is named as follows:

vocal_imitation/SpeakerID/FileName_SpeakerID.wav

FileName means the original audio file name in ESC-50. SpaekerID means the ID of the imitator. We recorded vocal imitations for a part of sound events in ESC-50. A list of the sound events used can be obtained from EventList.csv.

Note that this dataset does not contain environmental sound files, which can be obtained from ESC-50. Environmental sounds in ESC-50 are available here.

Terms of use

The materials may be used free of charge for research purposes, but please refrain from redistribution or use that is offensive to public order and morals. If you want to use for commercial purposes, please contact us (Yuki Okamoto or Keisuke Imoto).

Citation

If you use this dataset, please cite as follow:

Yuki Okamoto, Keisuke Imoto, Shinnosuke Takamichi, Ryotaro Nagase, Takahiro Fukumori, and Yoichi Yamashita, "Environmental Sound Synthesis from Vocal Imitations and Sound Event Labels," Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 411-415, 2024.

Feedback

If there is any problem, please contact us



Yuki Okamoto, y-okamoto@ieee.org

Keisuke Imoto, keisuke.imoto@ieee.org


 

[1] K. J. Piczak, "Esc: Dataset for environmental sound classification,” in Proc. the 23rd ACM International Conference on Multimedia, 2015, p. 1015–1018.
DOI: 10.5281/zenodo.11385662
title: ESC-50-Voice: Dataset of vocal imitation for environmental sound in ESC-50

description: Description

This is a dataset with vocal imitation, which involve the process of replicating or mimicking the rhythm and pitch of sounds by voice for an environmental sound in ESC-50 [1] that can be used in various tasks that use environmental sounds. The dataset consists of 9,920 vocal imitations (8 imitators per environmental sound). Each imitator is a Japanese speaker. All audio data are 48kHz/16bit wav files. 

Each audio file is named as follows:

vocal_imitation/SpeakerID/FileName_SpeakerID.wav

FileName means the original audio file name in ESC-50. SpaekerID means the ID of the imitator. We recorded vocal imitations for a part of sound events in ESC-50. A list of the sound events used can be obtained from EventList.csv.

Note that this dataset does not contain environmental sound files, which can be obtained from ESC-50. Environmental sounds in ESC-50 are available here.

Terms of use

The materials may be used free of charge for research purposes, but please refrain from redistribution or use that is offensive to public order and morals. If you want to use for commercial purposes, please contact us (Yuki Okamoto or Keisuke Imoto).

Citation

If you use this dataset, please cite as follow:

Yuki Okamoto, Keisuke Imoto, Shinnosuke Takamichi, Ryotaro Nagase, Takahiro Fukumori, and Yoichi Yamashita, "Environmental Sound Synthesis from Vocal Imitations and Sound Event Labels," Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 411-415, 2024.

Feedback

If there is any problem, please contact us



Yuki Okamoto, y-okamoto@ieee.org

Keisuke Imoto, keisuke.imoto@ieee.org


 

[1] K. J. Piczak, "Esc: Dataset for environmental sound classification,” in Proc. the 23rd ACM International Conference on Multimedia, 2015, p. 1015–1018.
DOI: 10.5281/zenodo.11619755
title: SHANNON__20240612__DATA_Results__VirginState_PCM_90nm_1T1R_selector

description: Characterization of nomnal IV curves of the MOSFET selector in a 1T1R cell, considering dependencie on Vgs, Vds, Temperature. Characterization was performed based on the MOSFET model using 90nm PDK by STMicroelectronics.
DOI: 10.34740/kaggle/dsv/8674619
title: TS-SatFire
DOI: 10.15468/dl.3cvxub
title: Occurrence Download

description: A dataset containing 1751 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "OccurrenceStatus is Present",
 "TaxonKey is Anablepsoides Huber, 1992"
 ]
}

 The dataset includes 1751 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071278-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ft5yen
title: Occurrence Download

description: A dataset containing 1492 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Panstrongylus geniculatus (Latreille, 1811)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 }
 ]
}

 The dataset includes 1492 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071279-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11526896
title: Observations on the five-spot round-headed spider Uroctea quinquenotata Simon, 1910, from South Africa.

description: We present notes of the five-spot round-headed spiders Uroctea quinquenotata Simon, 1910 from South Africa. The general morphology of live specimens is discussed with notes on their behaviour, distribution, and conservation status.
DOI: 10.5281/zenodo.11526897
title: Observations on the five-spot round-headed spider Uroctea quinquenotata Simon, 1910, from South Africa.

description: We present notes of the five-spot round-headed spiders Uroctea quinquenotata Simon, 1910 from South Africa. The general morphology of live specimens is discussed with notes on their behaviour, distribution, and conservation status.
DOI: 10.15468/dl.v5xfqs
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Lampetra soljani, a new brook lamprey from the southern Adriatic Sea basin (Petromyzontiformes: Petromyzontidae)"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071281-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11549488
title: Data used in Predictions based on pixel data: Insights from PDEs and finite differences

description: This dataset contains the time sequence pixel data used in "Predictions based on pixel data: Insights from PDEs and finite differences" by Elena Celledoni, James Jackaman, Davide Murari and Brynjulf Owren. Each data file is stored using pickle and has the structure


Once loaded, the data can be accessed with data[i][j][x,y] where



	
i chooses an independent simulation
	
j specifies the time step
	
x and y specify the location in space.
DOI: 10.5281/zenodo.7665158
title: Data used in Predictions based on pixel data: Insights from PDEs and finite differences

description: This dataset contains the time sequence pixel data used in "Predictions based on pixel data: Insights from PDEs and finite differences" by Elena Celledoni, James Jackaman, Davide Murari and Brynjulf Owren. Each data file is stored using pickle and has the structure


Once loaded, the data can be accessed with data[i][j][x,y] where



	
i chooses an independent simulation
	
j specifies the time step
	
x and y specify the location in space.
DOI: 10.15468/dl.bs98z7
title: Occurrence Download

description: A dataset containing 199134 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Ireland, Svalbard and Jan Mayen, Norway, Sweden, Finland, Estonia, Latvia, Denmark, Portugal, Spain, France, Germany, Netherlands, Switzerland, Austria, Italy, Greece, Türkiye, Russian Federation, Belarus, Ukraine, Poland, Czechia, Slovakia, Hungary, Romania, Bulgaria, Albania, Serbia, Slovenia, Bosnia and Herzegovina)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Festuca ovina L."
 ]
}

 The dataset includes 199134 records from 615 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071276-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11048377
title: Data Set for the Journal Article "SCINE - Software for Chemical Interaction Networks"

description: This data archive contains all data and software described and used in the following publication:

Thomas Weymuth, Jan P. Unsleber, Paul L. Türtscher, Miguel Steiner, Jan-Grimo Sobez, Charlotte H.Müller, Maximilian Mörchen, Veronika Klasovita, Stephanie A. Grimmel, Marco Eckhoff, Katja-SophiaCsizi, Francesco Bosia, Moritz Bensberg, Markus Reiher, "SCINE --- Software for Chemical InteractionNetworks", in preparation.

The directory structure is as follows:



software: contains all software used for the example exploration



requirements.txt: lists all Python packages needed to create the virtual environment with which the exploration has been carried out; the virtual environment was created with Python 3.6.8.

start.py: script to initialize the database with the reactants

step_1.py: script to create the first set of reaction trials; after having set up the trials, execute the script "start.py" with the option "continue"

step_2.py: script to create the second set of reaction trials; after having set up the trials, execute the script "start.py" with the option "continue"

puffin_1.3.0.sif: Singularity image containing a full Puffin instance (version 1.3.0) to execute all calculations of the exploration

submit_container.sh: script to submit the Puffin image to the queueing system



data:  contains a complete dump of the database created during the example exploration; additionally, this directory contains a script called "import.sh" which can be used to reimport the data into a MongoDB instance
DOI: 10.5281/zenodo.11048378
title: Data Set for the Journal Article "SCINE - Software for Chemical Interaction Networks"

description: This data archive contains all data and software described and used in the following publication:

Thomas Weymuth, Jan P. Unsleber, Paul L. Türtscher, Miguel Steiner, Jan-Grimo Sobez, Charlotte H.Müller, Maximilian Mörchen, Veronika Klasovita, Stephanie A. Grimmel, Marco Eckhoff, Katja-SophiaCsizi, Francesco Bosia, Moritz Bensberg, Markus Reiher, "SCINE --- Software for Chemical InteractionNetworks", in preparation.

The directory structure is as follows:



software: contains all software used for the example exploration



requirements.txt: lists all Python packages needed to create the virtual environment with which the exploration has been carried out; the virtual environment was created with Python 3.6.8.

start.py: script to initialize the database with the reactants

step_1.py: script to create the first set of reaction trials; after having set up the trials, execute the script "start.py" with the option "continue"

step_2.py: script to create the second set of reaction trials; after having set up the trials, execute the script "start.py" with the option "continue"

puffin_1.3.0.sif: Singularity image containing a full Puffin instance (version 1.3.0) to execute all calculations of the exploration

submit_container.sh: script to submit the Puffin image to the queueing system



data:  contains a complete dump of the database created during the example exploration; additionally, this directory contains a script called "import.sh" which can be used to reimport the data into a MongoDB instance
DOI: 10.15468/dl.fru98g
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Draba longisiliqua Schmalh., Draba longisiliqua Schmalh. ex Akinf., Draba longisiliqua Bornm.)"
 ]
}

 The dataset includes 52 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071282-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zw4qje
title: Occurrence Download

description: A dataset containing 10074 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Hippopotamus amphibius Linnaeus, 1758"
 ]
}

 The dataset includes 10074 records from 123 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071283-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s2acxn
title: Occurrence Download

description: A dataset containing 3765128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Coloeus monedula (Linnaeus, 1758))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3765128 records from 3143 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071241-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive150460.20241212.9.2
title: Leuconostoc mesenteroides

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive150460.20251217.10
title: Leuconostoc mesenteroides

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive150461.20230509.8.1
title: Streptococcus anginosus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive150461.20251217.10
title: Streptococcus anginosus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0138189.10fu
title: SH0138189.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive150462.20241212.9.2
title: Leuconostoc mesenteroides

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive150462.20251217.10
title: Leuconostoc mesenteroides

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0138190.10fu
title: SH0138190.10FU

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/sh0138191.10fu
title: SH0138191.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive150463.20230509.8.1
title: Corynebacterium afermentans

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0138192.10fu
title: SH0138192.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive150463.20251217.10
title: Corynebacterium afermentans

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive150464.20250331.9.3
title: Staphylococcus aureus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0138193.10fu
title: SH0138193.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive150464.20251217.10
title: Staphylococcus aureus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive150465.20241212.9.2
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0138194.10fu
title: SH0138194.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive150465.20251217.10
title: Escherichia coli

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