cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.16883335
title: Procedural Engine Sounds Dataset

description: Procedural Engine Sounds Dataset

The Procedural Engine Sounds Dataset is a comprehensive collection of synthetically generated and annotated engine audio samples. This dataset contains procedurally generated high-resolution engine sounds free of confounding noises, with detailed time-aligned annotations, designed for research in audio processing, vehicle acoustics, and synthetic sound generation.

Dataset Summary



Total: 5,935 files, ~19.01 hours, ~24.47 GB

Format: 4-channel WAV files at 48 kHz

Organization: 8 distinct sets (4 "Full" + 4 "Large" sets)

License: CC BY-NC 4.0


Audio Channel Structure



Channels 1-2: Stereo engine sound audio

Channel 3: Engine speed (RPM × 0.0001) as continuous audio signal

Channel 4: Engine torque (Nm × 0.001) as continuous audio signal


Research Applications



Audio generation models conditioned on engine operation states

Audio classification (RPM/torque prediction from sound)

Vehicle acoustics and engine sound pattern analysis

Procedural audio synthesis research

Data augmentation for automotive audio applications


Dataset Organization

Full Sets (A, B, C, D): 3,068 files total, ~9.83 hours, ~12.65 GBLarge Sets (E, F, G, H): 2,867 files total, ~9.18 hours, ~11.82 GB

Each set includes both audio files and corresponding metadata (JSON summaries and CSV statistics).

Technical Specifications



Sample Rate: 48 kHz

Channels: 4 (quad-channel WAV)

Signal Encoding: RPM values scaled by 0.0001, torque values scaled by 0.001

Source: 100% synthetically generated using procedural audio synthesis


Citation

@dataset{doerfler_2025_procedural_engine_sounds,
  author    = {Doerfler, Robin},
  title     = {Procedural Engine Sounds Dataset},
  month     = {August},
  year      = 2025,
  publisher = {Zenodo},
  version   = {1.0},
  doi       = {10.5281/zenodo.16883336},
  url       = {https://doi.org/10.5281/zenodo.16883336}
}

Contact: doerflerrobin@gmail.com

Complete documentation, usage examples, and technical requirements are included in the README.txt file within the dataset archive.
DOI: 10.5281/zenodo.16883336
title: Procedural Engine Sounds Dataset

description: Procedural Engine Sounds Dataset

The Procedural Engine Sounds Dataset is a comprehensive collection of synthetically generated and annotated engine audio samples. This dataset contains procedurally generated high-resolution engine sounds free of confounding noises, with detailed time-aligned annotations, designed for research in audio processing, vehicle acoustics, and synthetic sound generation.

Dataset Summary



Total: 5,935 files, ~19.01 hours, ~24.47 GB

Format: 4-channel WAV files at 48 kHz

Organization: 8 distinct sets (4 "Full" + 4 "Large" sets)

License: CC BY-NC 4.0


Audio Channel Structure



Channels 1-2: Stereo engine sound audio

Channel 3: Engine speed (RPM × 0.0001) as continuous audio signal

Channel 4: Engine torque (Nm × 0.001) as continuous audio signal


Research Applications



Audio generation models conditioned on engine operation states

Audio classification (RPM/torque prediction from sound)

Vehicle acoustics and engine sound pattern analysis

Procedural audio synthesis research

Data augmentation for automotive audio applications


Dataset Organization

Full Sets (A, B, C, D): 3,068 files total, ~9.83 hours, ~12.65 GBLarge Sets (E, F, G, H): 2,867 files total, ~9.18 hours, ~11.82 GB

Each set includes both audio files and corresponding metadata (JSON summaries and CSV statistics).

Technical Specifications



Sample Rate: 48 kHz

Channels: 4 (quad-channel WAV)

Signal Encoding: RPM values scaled by 0.0001, torque values scaled by 0.001

Source: 100% synthetically generated using procedural audio synthesis


Citation

@dataset{doerfler_2025_procedural_engine_sounds,
  author    = {Doerfler, Robin},
  title     = {Procedural Engine Sounds Dataset},
  month     = {August},
  year      = 2025,
  publisher = {Zenodo},
  version   = {1.0},
  doi       = {10.5281/zenodo.16883336},
  url       = {https://doi.org/10.5281/zenodo.16883336}
}

Contact: doerflerrobin@gmail.com

Complete documentation, usage examples, and technical requirements are included in the README.txt file within the dataset archive.
DOI: 10.5281/zenodo.10253208
title: ARMS in ports: Monitoring Non-Indigenous Species through Autonomous Reef Monitoring Structures

description: This datasets provides information on marine macrozoobenthic species (both sessile and vagile fraction) in the Ravenna Port. Autonomous Reef Monitoring Structures (ARMS) were deployed in two sites, a commercial harbor (H) and a touristic marina (M) in the port of Ravenna (Emilia-Romagna, IT), during three seasons (winter, spring, and summer) between 2021-2022 and left underwater for three/six months. The colonizing sessile communities were assessed by image analyses (photoQuad), and motile fauna (> 2 mm) was identified morphologically using stereomicroscope. More detail are given in the metadata file.

Datasets are contained in three separated folder (.zip file):



Community_Composition_ARMS_Ravenna_2021-2022 (Presence/Absence data)

Motile_Fraction_ARMS_Ravenna_2021-2022 (Abundance data)

Sessile_Fraction_ARMS_Ravenna_2021-2022 (Percent cover data)


Each folder provided dataset in three formats: 



Microsoft Excel XLSX file, including 3 sheets (Dataset, Fields and units, Taxonomy).

CSV files (UTF-8), 3 files corresponding to the 3 sheets of the Excel file.

PDF file of metadata


All the dataset fields are described in the file "Fields and units", while the taxonomic related information for each taxon is provided in the file "Taxonomy". Information extracted from the World Register of Marine Species (WoRMS; https://marinespecies.org/; accessed in 2023/11/30) is provided here.

The project is part of the European ARMS program (ARMS-MBON, https://www.vliz.be/projects/assembleplus/node/2326.html) within the European Marine Omics Biodiversity Observation Network (EMO BON, https://www.embrc.eu/services/emo-bon). This study was carried out within the RETURN Extended Partnership and received funding from the European Union Next-GenerationEU (National Recovery and Resilience Plan – NRRP, Mission 4, Component 2, Investment 1.3 – D.D. 1243 2/8/2022, PE0000005) and within the project "Ecosystem for Sustainable Transition in Emilia-Romagna" (ECOSISTER, Code: ECS_00000033 - CUP: B33D21019790006; Mission 04 Education and research - Component 2 From research to business Investment 1.5 - NextGenerationEU).
DOI: 10.5281/zenodo.10253209
title: ARMS in ports: Monitoring Non-Indigenous Species through Autonomous Reef Monitoring Structures

description: This datasets provides information on marine macrozoobenthic species (both sessile and vagile fraction) in the Ravenna Port. Autonomous Reef Monitoring Structures (ARMS) were deployed in two sites, a commercial harbor (H) and a touristic marina (M) in the port of Ravenna (Emilia-Romagna, IT), during three seasons (winter, spring, and summer) between 2021-2022 and left underwater for three/six months. The colonizing sessile communities were assessed by image analyses (photoQuad), and motile fauna (> 2 mm) was identified morphologically using stereomicroscope. More detail are given in the metadata file.

Datasets are contained in three separated folder (.zip file):



Community_Composition_ARMS_Ravenna_2021-2022 (Presence/Absence data)

Motile_Fraction_ARMS_Ravenna_2021-2022 (Abundance data)

Sessile_Fraction_ARMS_Ravenna_2021-2022 (Percent cover data)


Each folder provided dataset in three formats: 



Microsoft Excel XLSX file, including 3 sheets (Dataset, Fields and units, Taxonomy).

CSV files (UTF-8), 3 files corresponding to the 3 sheets of the Excel file.

PDF file of metadata


All the dataset fields are described in the file "Fields and units", while the taxonomic related information for each taxon is provided in the file "Taxonomy". Information extracted from the World Register of Marine Species (WoRMS; https://marinespecies.org/; accessed in 2023/11/30) is provided here.

The project is part of the European ARMS program (ARMS-MBON, https://www.vliz.be/projects/assembleplus/node/2326.html) within the European Marine Omics Biodiversity Observation Network (EMO BON, https://www.embrc.eu/services/emo-bon). This study was carried out within the RETURN Extended Partnership and received funding from the European Union Next-GenerationEU (National Recovery and Resilience Plan – NRRP, Mission 4, Component 2, Investment 1.3 – D.D. 1243 2/8/2022, PE0000005) and within the project "Ecosystem for Sustainable Transition in Emilia-Romagna" (ECOSISTER, Code: ECS_00000033 - CUP: B33D21019790006; Mission 04 Education and research - Component 2 From research to business Investment 1.5 - NextGenerationEU).
DOI: 10.26131/irsa431
title: Surveying the Agents of Galaxy Evolution in the Tidally-Disrupted, Low-Metallicity Small Magellanic Cloud (SAGE-SMC)

description: The Small Magellanic Cloud (SMC) provides a unique laboratory for the study of the lifecycle of dust given its low metallicity (~1/5 solar) and relative proximity (~60 kpc). This motivated the SAGE-SMC (Surveying the Agents of Galaxy Evolution in the Tidally Stripped, Low Metallicity Small Magellanic Cloud) Spitzer Legacy program with the specific goals of studying the amount and type of dust in the present interstellar medium, the sources of dust in the winds of evolved stars, and how much dust is consumed in star formation. This program mapped the full SMC (30 deg2) including the body, wing, and tail in seven bands from 3.6 to 160 mum using IRAC and MIPS on the Spitzer Space Telescope.

This dataset or service is made available by the Infrared Science Archive (IRSA) at IPAC, which is operated by the California Institute of Technology under contract with the National Aeronautics and Space Administration.
DOI: 10.34894/rc1mxn
title: Replication archive Peeters et al (2019) Global Strategy Journal

description: This set of files allows the replication of the baseline results and robustness checks for the paper "Manager Migration, Learning-by-hiring and Cultural Distance in International Soccer" by Peeters, Mills, Pennings and Song (Global Strategy Journal, 2019). Please consult the read me file for further instructions.&lt;div&gt;&lt;br&gt;&lt;/div&gt;
description: This entry is a thirty-two-file data package totaling 46.8 MB, containing files in .pdf, .xml, .do, .dta, .log and .gph formats.If you use this dataset, please cite: Peeters, Thomas; Pennings, Enrico (2019). Replication archive Peeters et al (2019) Global Strategy Journal. Erasmus University Rotterdam (EUR). Dataset. https://doi.org/10.25397/eur.8299454
DOI: 10.15468/dl.5hxuy9
title: Occurrence Download

description: A dataset containing 3995 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-75.56276 5.44504,-75.38124 5.44504,-75.38124 5.57031,-75.56276 5.57031,-75.56276 5.44504))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3995 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029590-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26131/irsa404
title: Surveying the Agents of a Galaxy's Evolution (SAGE)

description: The Surveying the Agents of a Galaxy's Evolution (SAGE) survey covers the Large Magellanic Cloud (LMC; ~7deg×7deg) using the IRAC (3.6, 4.5, 5.8, and 8 mum) and MIPS (24, 70, and 160 mum) instruments on board the Spitzer Space Telescope. Three key science goals determined the coverage and depth of the survey. The detection of diffuse ISM with column densities &gt;1.2×1021 H cm-2 permits detailed studies of dust processes in the ISM. SAGE's point-source sensitivity enables a complete census of newly formed stars with masses &gt;3 Msolar that will determine the current star formation rate in the LMC. SAGE's detection of evolved stars with mass-loss rates &gt;1×10-8 Msolar yr-1 will quantify the rate at which evolved stars inject mass into the ISM of the LMC. The observing strategy includes two epochs in 2005, separated by 3 months, that both mitigate instrumental artifacts and constrain source variability.

This dataset or service is made available by the Infrared Science Archive (IRSA) at IPAC, which is operated by the California Institute of Technology under contract with the National Aeronautics and Space Administration.
DOI: 10.15468/dl.tetvme
title: Occurrence Download

description: A dataset containing 5775 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thryorchilus browni"
 ]
}

 The dataset includes 5775 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029592-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ezt8p
title: Occurrence Download

description: A dataset containing 2538 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Atlapetes fuscoolivaceus"
 ]
}

 The dataset includes 2538 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029594-250811113504898/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/12830777
title: Brain Atlas - DK2006
DOI: 10.15468/dl.7fepj7
title: Occurrence Download

description: A dataset containing 3990 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Oxypogon stuebelii"
 ]
}

 The dataset includes 3990 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029597-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cph68s
title: Occurrence Download

description: A dataset containing 3183 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mangifera indica",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3183 records from 143 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029599-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rc4sk2
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mangifera indica",
 "Country is Antigua and Barbuda",
 "HasCoordinate is true"
 ]
}

 The dataset includes 25 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029598-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26131/irsa290
title: SAGE-SMC IRAC Single Frame + Mosaic Photometry Archive

description: The SAGE-SMC project is a Cycle 4 legacy program on the Spitzer Space Telescope, entitled, SAGE-SMC: Surveying the Agents of Galaxy Evolution in the Tidally-Disrupted, Low-Metallicity Small Magellanic Cloud, with Karl Gordon (STScI) as the PI. The project overview and initial results are described in a paper by Gordon et al. (2010, in prep). The SMC was mapped at two different epochs dubbed Epochs 1 and 2 separated by 3 (IRAC) and 9 (MIPS) months, as this provides a 90-degree roll angle in the orientation of the detectors, which optimally removes the striping artifacts in MIPS and artifacts along columns and rows in the IRAC image data. In addition, these two epochs are useful constraints of source variability expected for evolved stars and some young stellar ob jects (YSOs). The IRAC and MIPS observations from the S3MC pathfinder survey of the inner 3 sq. deg. of the SMC (PI: Bolatto, referred to as Epoch 0) have been reduced using the same software. 

In comparison to the catalog, the archive has more source fluxes (fewer nulled wavelengths) and some more sources but these additions have more uncertainty associated with them. For the catalog, a source must be detected in at least 60% of the observations at that wavelength, at least 32% of the observations in an adjacent band (the confirming band), and the S/N must be greater than [5, 5, 5, 7] for IRAC bands [3.6um], [4.5um], [5.8um] and [8.0um]. The 2MASS K_s band is counted as a detection. For a typical source, extracted from 2x12 sec frametime images, the minimum detection criterion amounts to being detected twice in one band (usually band 1 or 2) and once in an adjacent band (sometimes referred to as the 2+1 criterion). For the catalog, sources with neighbors within a 2" radius are excluded (culled). For the archive, sources within a 0.5" are excluded. For more details, see Section 3.3 of the SAGE-SMC Data Delivery Document.

This dataset or service is made available by the Infrared Science Archive (IRSA) at IPAC, which is operated by the California Institute of Technology under contract with the National Aeronautics and Space Administration.
DOI: 10.34894/cbxaiy
title: Data update: The Global Multi-Asset Market Portfolio, 1959–2012

description: &lt;p dir="ltr"&gt;This dataset contains the annually updated global multi-asset market portfolio of Doeswijk, Lam, and Swinkels (2014). The latest update contains data until 31 December 2023.&lt;/p&gt;&lt;p dir="ltr"&gt;The market portfolio contains important information for purposes of strategic asset allocation. One could consider it a natural benchmark for investors. The authors composed the invested global multi-asset market portfolio for 1990–2012 by estimating the market capitalization for equities, private equity, real estate, high-yield bonds, emerging-market debt, investment-grade credits, government bonds, and inflation-linked bonds. They also used an expanded period (1959–2012) for the main asset categories: equities, real estate, nongovernment bonds, and government bonds.&lt;br&gt;&lt;/p&gt;
description: This entry is a two-file data package totaling 222.5 KB, containing files in .pdf and .ods formats.If you use this dataset, please cite: Doeswijk, Ronald Q.; Lam, Trevin; Swinkels, Laurens (2019). Data update: The Global Multi-Asset Market Portfolio, 1959–2012. Erasmus University Rotterdam (EUR). Dataset. https://doi.org/10.25397/eur.9371741
DOI: 10.26131/irsa291
title: SAGE-SMC MIPS 24 micron Epoch 1 Full List

description: The SAGE-SMC project is a Cycle 4 legacy program on the Spitzer Space Telescope, entitled, SAGE-SMC: Surveying the Agents of Galaxy Evolution in the Tidally-Disrupted, Low-Metallicity Small Magellanic Cloud, with Karl Gordon (STScI) as the PI. The project overview and initial results are described in a paper by Gordon et al. (2010, in prep). The SMC was mapped at two different epochs dubbed Epochs 1 and 2 separated by 3 (IRAC) and 9 (MIPS) months, as this provides a 90-degree roll angle in the orientation of the detectors, which optimally removes the striping artifacts in MIPS and artifacts along columns and rows in the IRAC image data. In addition, these two epochs are useful constraints of source variability expected for evolved stars and some young stellar ob jects (YSOs). The IRAC and MIPS observations from the S3MC pathfinder survey of the inner 3 sq. deg. of the SMC (PI: Bolatto, referred to as Epoch 0) have been reduced using the same software. 

To be included in each single epoch catalog, each 24 um source has to meet a number of criteria. The source had to be nearly point like with a correlation value &gt;0.89. This removed approximately 2/3 of the entries in the single epoch source lists. In regions where there is a significant structure in the surrounding region (identified as having a sigma &gt; 0.25 in a 120" width square box), the source had to have a correlation value &gt;0.91. This requirement removed a small number of sources (70). Finally, all sources had to have signal-to-noise (S/N) values &gt;5. The S/N used was that estimated from the StarFinder code using the mosaic uncertainty image added in quadrature with an 0.6% error due to the background subtraction. This removed 700 sources. The final Epoch 1 catalog likely has a few remaining unreliable sources, estimated to be at less than the 1% level. The Full List contains ALL sources extracted from the MIPS 24 um mosaics, thus a user should be aware that it contains spurious sources. For more details, see Section 4.1 of the SAGE-SMC Data Delivery Document.

This dataset or service is made available by the Infrared Science Archive (IRSA) at IPAC, which is operated by the California Institute of Technology under contract with the National Aeronautics and Space Administration.
DOI: 10.5281/zenodo.16922592
title: SuperApp Dataset

description: This dataset is for an experiment investigating the impact of gamification in Super Apps.
DOI: 10.5281/zenodo.16922593
title: SuperApp Dataset

description: This dataset is for an experiment investigating the impact of gamification in Super Apps.
DOI: 10.26131/irsa292
title: SAGE-SMC MIPS 24 micron Epoch 0, Epoch 1, and Epoch 2 Full List

description: The SAGE-SMC project is a Cycle 4 legacy program on the Spitzer Space Telescope, entitled, SAGE-SMC: Surveying the Agents of Galaxy Evolution in the Tidally-Disrupted, Low-Metallicity Small Magellanic Cloud, with Karl Gordon (STScI) as the PI. The project overview and initial results are described in a paper by Gordon et al. (2010, in prep). The SMC was mapped at two different epochs dubbed Epochs 1 and 2 separated by 3 (IRAC) and 9 (MIPS) months, as this provides a 90-degree roll angle in the orientation of the detectors, which optimally removes the striping artifacts in MIPS and artifacts along columns and rows in the IRAC image data. In addition, these two epochs are useful constraints of source variability expected for evolved stars and some young stellar ob jects (YSOs). The IRAC and MIPS observations from the S3MC pathfinder survey of the inner 3 sq. deg. of the SMC (PI: Bolatto, referred to as Epoch 0) have been reduced using the same software. 

To be included in each single epoch catalog, each 24 um source has to meet a number of criteria. The source had to be nearly point like with a correlation value &gt;0.89. This removed approximately 2/3 of the entries in the single epoch source lists. In regions where there is a significant structure in the surrounding region (identified as having a sigma &gt; 0.25 in a 120" width square box), the source had to have a correlation value &gt;0.91. This requirement removed a small number of sources (70). Finally, all sources had to have signal-to-noise (S/N) values &gt;5. The S/N used was that estimated from the StarFinder code using the mosaic uncertainty image added in quadrature with an 0.6% error due to the background subtraction. This removed 700 sources. The final Epoch 1 catalog likely has a few remaining unreliable sources, estimated to be at less than the 1% level. The Full List contains ALL sources extracted from the MIPS 24 um mosaics, thus a user should be aware that it contains spurious sources. For more details, see Section 4.1 of the SAGE-SMC Data Delivery Document.

This dataset or service is made available by the Infrared Science Archive (IRSA) at IPAC, which is operated by the California Institute of Technology under contract with the National Aeronautics and Space Administration.