Overview
\n\nCough audio signal classification has been successfully used to diagnose a variety of respiratory conditions, and there has been significant interest in leveraging Machine Learning (ML) to provide widespread COVID-19 screening. The COUGHVID dataset provides over 30,000 crowdsourced cough recordings representing a wide range of subject ages, genders, geographic locations, and COVID-19 statuses. Furthermore, experienced pulmonologists labeled more than 2,000 recordings to diagnose medical abnormalities present in the coughs, thereby contributing one of the largest expert-labeled cough datasets in existence that can be used for a plethora of cough audio classification tasks. As a result, the COUGHVID dataset contributes a wealth of cough recordings for training ML models to address the world’s most urgent health crises.
\n\nPrivate Set and Testing Protocol
\n\nResearchers interested in testing their models on the private test dataset should contact us at coughvid@epfl.ch, briefly explaining the type of validation they wish to make, and their obtained results obtained through cross-validation with the public data. Then, access to the unlabeled recordings will be provided, and the researchers should send the predictions of their models on these recordings. Finally, the performance metrics of the predictions will be sent to the researchers. The private testing data is not included in any file within our Zenodo record, and it can only be accessed by contacting the COUGHVID team at the aforementioned e-mail address.
\n\nNew Semi-Supervised Labeling
\n\nThe third version of the COUGHVID dataset contains thousands of additional recordings obtained through October 2021. Additionally, the recordings containing coughs were re-labeled according to a semi-supervised learning algorithm that combined the user labels with those of the expert physicians, which were modeled using ML and expanded on the previously unlabeled data. These labels can be found in the "status_SSL" column of the "metadata_compiled.csv" file.
", "funding": [ { "award": { "acronym": "DeepHealth", "id": "00k4n6c32::825111", "identifiers": [ { "identifier": "https://cordis.europa.eu/projects/825111", "scheme": "url" } ], "number": "825111", "program": "H2020-EU.2.1.1.", "title": { "en": "Deep-Learning and HPC to Boost Biomedical Applications for Health" } }, "funder": { "id": "00k4n6c32", "name": "European Commission" } }, { "award": { "id": "00yjd3n13::200020_182009", "number": "200020_182009", "program": "Project funding", "title": { "en": "ML-edge: Enabling Machine-Learning-Based Health Monitoring in Edge Sensors via Architectural Customization" } }, "funder": { "id": "00yjd3n13", "name": "Swiss National Science Foundation" } } ], "languages": [ { "id": "eng", "title": { "en": "English" } } ], "publication_date": "2021-02-03", "publisher": "Zenodo", "resource_type": { "id": "dataset", "title": { "de": "Datensatz", "en": "Dataset" } }, "rights": [ { "description": { "en": "The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited." }, "icon": "cc-by-icon", "id": "cc-by-4.0", "props": { "scheme": "spdx", "url": "https://creativecommons.org/licenses/by/4.0/legalcode" }, "title": { "en": "Creative Commons Attribution 4.0 International" } } ], "subjects": [ { "subject": "COVID-19" }, { "subject": "cough sound database" }, { "subject": "automatic cough classification" } ], "title": "The COUGHVID crowdsourcing dataset: A corpus for the study of large-scale cough analysis algorithms", "version": "3.0" }, "parent": { "access": { "owned_by": { "user": "134911" } }, "communities": { "entries": [ { "access": { "member_policy": "open", "members_visibility": "public", "record_submission_policy": "open", "review_policy": "open", "visibility": "public" }, "children": { "allow": false }, "created": "2019-07-16T08:45:27.981194+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "10afed4b-0fcd-49fe-b3e3-8fd0930228bf", "links": {}, "metadata": { "curation_policy": "The community is intended to collect scientific contributions, software artefacts and datasets from the EU Innovation Action H2020 "DeepHealth: Deep-Learning and HPC to Boost Biomedical Applications for Health" (2019, 36 months, total cost 14.6M€, call ICT-2018-11, G.A. 825111).
\r\n", "funding": [ { "award": { "id": "00k4n6c32::825111" }, "funder": { "id": "00k4n6c32" } } ], "page": "Deep-Learning and HPC to Boost Biomedical Applications for Health (DeepHealth) project is funded by the EC under the topic ICT-11-2018-2019 “HPC and Big Data enabled Large-scale Test-beds and Applications”. DeepHealth is a 3-year project, kicked-off in mid January 2019 and is expected to conclude its work in December 2021. The aim of DeepHealth is to offer a unified framework completely adapted to exploit underlying heterogeneous HPC and Big Data architectures; and assembled with state-of-the-art techniques in Deep Learning and Computer Vision. In particular, the project will combine High-Performance Computing (HPC) infrastructures with Deep Learning (DL) and Artificial Intelligence (AI) techniques to support biomedical applications that require the analysis of large and complex biomedical datasets and thus, new and more efficient ways of diagnosis, monitoring and treatment of diseases.
", "title": "DeepHealth" }, "parent": { "access": { "member_policy": "open", "members_visibility": "restricted", "record_submission_policy": "open", "review_policy": "closed", "visibility": "public" }, "children": { "allow": true }, "created": "2022-11-23T15:53:29.436323+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "f0a8b890-f97a-4eb2-9eac-8b8a712d3a6c", "links": {}, "metadata": { "curation_policy": "The EU Open Research Repository serves as a repository for research outputs (data, software, posters, presentations, publications, etc) which have been funded under an EU research funding programme such as Horizon Europe, Euratom or earlier Framework Programmes.
\nThe community is managed by CERN on behalf of the European Commission.
\nZenodo’s general policies and Terms of Use apply to all content.
\nThe EU Open Research Repository accepts all digital research objects which is a research output stemming from one of EU’s research and innovation funding programmes. The funding programmes currently include:
\nHorizon Europe (including ERC, MSCA), earlier Framework Programmes (eg Horizon 2020) as well as Euratom.
\nIn line with the principle as open as possible, as closed as necessary both public and restricted content is accepted. See note on how Zenodo handles restricted content.
\nEU programme beneficiaries are eligible to submit content to the community. The community supports three types of content submissions:
\nSubmission via an EU Project Community (through user interface or programmatic APIs).
\nSubmission directly to the EU Open Research Repository.
\nAutomated harvesting from existing Zenodo content.
\nA representative of an EU project may request an EU Project Community and invite other project participants as members of the community. The project community is linked to one or more European Commission grants. All records in the project community are automatically integrated into the EU Open Research Repository immediately upon acceptance into the project community.
\nAny user may submit a record directly to the EU Open Research Repository. The submission will be moderated by Zenodo staff for compliance with the minimal required metadata requirements and its correctness.
\nRecords found among Zenodo’s existing content will on a regular basis automatically be integrated if they are found to comply with the requirements. The submissions through this method are integrated into the EU Open Research Repository with delay in a fully automated way.
\nRecords in the EU Open Research Repository are required to comply with the following minimal metadata requirements:
\nVisibility: Both public and restricted (with or without embargo and/or access request)
\nResource types: All resource types.
\nLicenses: Public and embargoed records MUST specify a license. The chosen license SHOULD be compliant with the Horizon Europe open science requirements (see Open Science in Horizon Europe)
\nFunding information: Records MUST specify at least one grant from the European Commission.
\nCreators: Creators SHOULD be identified with a persistent identifier (e.g. ORCID, GND, …), and affiliations SHOULD be identified with a persistent identifier (e.g. ROR, ISNI, …)
\nSubjects: Records SHOULD specify one or more fields of science from the European Science Vocabulary.
\nThese metadata requirements comes from the related open science requirements in Horizon Europe which are detailed in each project's grant agreement.
\nAll submissions undergo automated curation checks for compliance with the policy. Submissions through project communities are in addition reviewed by the project community. Submission directly to the EU Open Research Repository is in addiotn reviewed by Zenodo staff.
\nCommunity curators may at any point edit metadata of the records in the community without notice through human or automated processing. The curators may at their sole discretion remove records from the community that are deemed not to comply with the content and curation policy or which are deemed of insufficient quality.
\nThe content and curation policy is subject to change by the community owner at any time and without notice, other than through updating this page.
", "description": "Open repository for EU-funded research outputs from Horizon Europe, Euratom, and earlier Framework Programmes.", "funding": [ { "funder": { "id": "00k4n6c32" } } ], "organizations": [ { "id": "00k4n6c32" } ], "page": "The EU Open Research Repository is a Zenodo-community dedicated to fostering open science and enhancing the visibility and accessibility of research outputs funded by the European Union. The community is managed by CERN on behalf of the European Commission.
\nThe mission of the repository is to support the implementation of the EU's open science policy, providing a trusted and comprehensive space for researchers to share their research outputs such as data, software, reports, presentations, posters and more. The EU Open Research Repository simplifies the process of complying with open science requirements, ensuring that research outputs from Horizon Europe, Euratom, and earlier Framework Programmes are freely accessible, thereby accelerating scientific discovery and innovation.
\nThe EU Open Research Repository serves as a complementary platform to the Open Research Europe (ORE) publishing platform. Open Research Europe focuses on providing a publishing venue for peer-reviewed articles, ensuring that research meets rigorous academic standards. The EU Open Research Repository provides a space for all the other research outputs including data sets, software, posters, and presentations that are out of scope for ORE. This holistic approach enables researchers to not only publish their findings but also share the underlying data and materials that support their work, fostering transparency and reproducibility in the scientific process.
\nThe EU Open Research Repository is funded by the European Union under grant agreement no. 101256740 (HORIZON-ZEN Plus). For more information about the project see https://about.zenodo.org/projects/horizon-zen/.
", "title": "EU Open Research Repository", "type": { "id": "organization" }, "website": "https://research-and-innovation.ec.europa.eu" }, "revision_id": 24, "slug": "eu", "theme": { "brand": "horizon", "enabled": true, "style": { "font": { "family": "Arial, sans-serif", "size": "16px", "weight": 600 }, "mainHeaderBackgroundColor": "#FFFFFF", "primaryColor": "#004494", "primaryTextColor": "#FFFFFF", "secondaryColor": "#FFD617", "secondaryTextColor": "#000000", "tertiaryColor": "#e3eefd", "tertiaryTextColor": "#1c5694" } }, "updated": "2026-03-31T12:29:43.596724+00:00" }, "revision_id": 3, "slug": "deephealth", "updated": "2025-03-31T15:52:33.975839+00:00" }, { "access": { "member_policy": "open", "members_visibility": "public", "record_submission_policy": "open", "review_policy": "open", "visibility": "public" }, "children": { "allow": false }, "created": "2020-03-16T11:40:44.487619+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "10f33f78-3f29-41b6-bb10-f757a8f03cb8", "links": {}, "metadata": { "curation_policy": "The Coronavirus Disease Research Community - COVID-19 is curated by a selected team of experts nominated by OpenAIRE* (see list below). Each time a Zenodo user wants to add a record into the community, an email is sent to the curators that will decide whether to include the record or not.
\r\n\r\nOnly records that may be relevant to the Corona Virus Disease (COVID-19) or the SARS-CoV-2 should be included in this community. The Community curators are not able to edit records, therefore they may ask the corresponding authors to modify the record metadata when necessary, to provide the readers/users with more detailed information according to the FAIR principle of Open Science.
\r\n\r\nIf after its acceptance, a record is subsequently found not to be compliant, we reserve the right to remove it from the community.
\r\n\r\nThe curation team is reachable through the following email address for further clarification or information: covid19@openaire.eu.
\r\n\r\nCurator List:
\r\n\r\n* OpenAIRE: open access and open science training and support since 2009. OpenAIRE is the largest aggregator of European Commission funded research outputs and beyond, also delivering on-demand services for research communities.
\r\n", "page": "This community collects research outputs that may be relevant to the Coronavirus Disease (COVID-19) or the SARS-CoV-2. Scientists are encouraged to upload their outcome in this collection to facilitate sharing and discovery of information. Although Open Access articles and datasets are recommended, also closed and restricted access material are accepted. All types of research outputs can be included in this Community (Publication, Poster, Presentation, Dataset, Image, Video/Audio, Software, Lesson, Other).
\r\n\r\nThe recent Corona Virus Disease (COVID-19) outbreak is requiring unseen efforts of collaboration of the scientific community that need to act fast and to share results in an unpredictable manner. In order to facilitate the Scientist efforts, this community was created to collect all research results that could be relevant for the scientific community working on the Corona Virus Disease (COVID-19) and SARS-CoV-2.
\r\n\r\nAlthough Open Access articles and datasets are recommended, also closed and restricted access material are accepted. All types of research outputs can be included in this Community (Publication, Poster, Presentation, Dataset, Image, Video/Audio, Software, Lesson, Other).
\r\n\r\nWhen depositing a resource that is linked to other resources (not limited to the records deposited in Zenodo but also in other repositories), please make sure that your record is linked to all the other related elements already available, in order to adhere to the FAIR principles of Open Science to maximise the reusability of research results.
\r\n\r\n", "title": "Coronavirus Disease Research Community - COVID-19" }, "revision_id": 0, "slug": "covid-19", "updated": "2021-02-23T14:39:53.029415+00:00" }, { "access": { "member_policy": "open", "members_visibility": "public", "record_submission_policy": "open", "review_policy": "closed", "visibility": "public" }, "children": { "allow": false }, "created": "2013-10-17T09:43:15+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "3c1383da-d7ab-4167-8f12-4d8aa0cc637f", "links": {}, "metadata": { "curation_policy": "
The MUST criteria are required in order to accept a work into the EPFL community.
\nReferences to works accepted in the EPFL Community will be imported on Infoscience for improved visibility. If allowed by the license, openly accessible works related to publications will be archived in the EPFL Academic Output Archive, ACOUA.
\nMUST
\nM1. At least one author is affiliated with EPFL at the time of the submission or creation of the submitted work.
\nM2. Contact information for at least one EPFL author is provided, preferably through an ORCID identifier.
\nM3. The content of the submitted work must be accessible for review, i.e. Open Access, or Restricted after an access request has been granted to the reviewers. Embargoed works will be reviewed after the embargo expires.
\nM4. The Description of the submitted work is sufficiently detailed. Mere references to external articles or to other external resources are not sufficient descriptions.
\nM5. The submitted work includes a clearly identifiable README file, typically in the root directory. This is not required for works consisting in one single document (ex. publication, poster, or presentation).
\nM6. The main DOI has been assigned by Zenodo. Entering an existing DOI as the main identifier is allowed only if the submitted work is an exact copy of a digital object that has already received its DOI on another platform. For example, supplementary data to a journal article should NOT re-use the journal article DOI.
\nRECOMMENDED
\nR1. All authors are identified by their ORCID.
\nR2. The main title is human-readable on the same level as conventional publications: filenames or coded expressions are deprecated.
\nR3. If existing, references to related publications (e.g., article, source code, other datasets, etc.) are specified in the \"Related works\" field. If available, references are designated by their respective DOIs.
\nR4. If related grants require an acknowledgement, they are listed using “Funding/Grants” fields.
\nR5. Any personal and sensitive data has been anonymized.
\nNICE TO HAVE
\nN1. The submitted work has been cleaned up (e.g., there are no temporary files, no unnecessary empty files or folders, no superfluous file versions, etc.).
\nN2. Permissive licenses are preferred. CC0, CC-BY-4.0, CC-BY-SA-4.0 for data and MIT, BSD, GPL for code are suggested.
\nN3. The README file contains detailed information about the work creation (authors, time, place, methodologies…), content (file organization and naming, formats, relevant standards…), sharing and access, etc.
\nN4. If the submission is related to a PhD thesis, the supervisor is specified.
\nN5. Files are available in open formats. If proprietary formats are present, the work also includes versions of the files converted to open formats, with the least possible loss of information.
\nN6. Where applicable, sources from which the work is derived are specified in the “References” field.
\nN7. Keywords are entered as separated fields in the “Keywords and subjects” field.
", "description": "Research data, code, other resources and academic output shared by EPFL members.", "organizations": [ { "id": "02s376052" } ], "page": "Research data, code, other resources and academic output shared by EPFL members.
\nThe aim of the EPFL Community on Zenodo is to strengthen the visibility and re-usability of the datasets produced by EPFL researchers, and to facilitate the dissemination of information (links between publications and data; potential re-use by other researchers; reporting for scientific grants; etc.). This community was created to showcase datasets and software, but any upload type can be submitted. However, we generally recommend EPFL’s institutional repository Infoscience instead of Zenodo for the following types: Publication, Poster, Presentation and Lesson.
\nFor support with your upload and curation, or for any questions about this community, please contact the RDM team of EPFL Library at researchdata@epfl.ch.
\nThe MUST criteria are required to accept a work into the EPFL community.
\nReferences to works accepted in the EPFL Community will be imported on Infoscience for improved visibility. If allowed by the license, openly accessible works related to publications will be archived in the EPFL Academic Output Archive, ACOUA.
\nMUST
\nM1. At least one author is affiliated with EPFL at the time of the submission or creation of the submitted work.
\nM2. Contact information for at least one EPFL author is provided, preferably through an ORCID identifier.
\nM3. The content of the submitted work must be accessible for review, i.e. Open Access, or Restricted after an access request has been granted to the reviewers. Embargoed works will be reviewed after the embargo expires.
\nM4. The Description of the submitted work is sufficiently detailed. Mere references to external articles or to other external resources are not sufficient descriptions.
\nM5. The submitted work includes a clearly identifiable README file, typically in the root directory. This is not required for works consisting in one single document (ex. publication, poster, or presentation).
\nM6. The main DOI has been assigned by Zenodo. Entering an existing DOI as the main identifier is allowed only if the submitted work is an exact copy of a digital object that has already received its DOI on another platform. For example, supplementary data to a journal article should NOT re-use the journal article DOI.
\nRECOMMENDED
\nR1. All authors are identified by their ORCID.
\nR2. The main title is human-readable on the same level as conventional publications: filenames or coded expressions are deprecated.
\nR3. If existing, references to related publications (e.g., article, source code, other datasets, etc.) are specified in the \"Related works\" field. If available, references are designated by their respective DOIs.
\nR4. If related grants require an acknowledgement, they are listed using “Funding/Grants” fields.
\nR5. Any personal and sensitive data has been anonymized.
\nNICE TO HAVE
\nN1. The submitted work has been cleaned up (e.g., there are no temporary files, no unnecessary empty files or folders, no superfluous file versions, etc.).
\nN2. Permissive licenses are preferred. CC0, CC-BY-4.0, CC-BY-SA-4.0 for data and MIT, BSD, GPL for code are suggested.
\nN3. The README file contains detailed information about the work creation (authors, time, place, methodologies…), content (file organization and naming, formats, relevant standards…), sharing and access, etc.
\nN4. If the submission is related to a PhD thesis, the supervisor is specified.
\nN5. Files are available in open formats. If proprietary formats are present, the work also includes versions of the files converted to open formats, with the least possible loss of information.
\nN6. Where applicable, sources from which the work is derived are specified in the “References” field.
\nN7. Keywords are entered as separated fields in the “Keywords and subjects” field.
\nOnce the curator receives a notification email of a submission, the submission is reviewed against the quality criteria listed in the Curation policy.
\nIf some criteria are not met, the Curator will contact the authors and suggest appropriate modifications. Depending on the importance of the missing criterion, the curator will proceed as follows:
\nThe Embedded Systems Laboratory (ESL) is part of the Institute of Electrical Engineering at EPFL, and focuses on the definition of system-level multi-objective design methods, optimization methodologies and tools for high-performance embedded systems and nano-scale Multi-Processor System-on-Chip (MPSoC) architectures targeting the Internet-of-Things (IoT) Era.
", "title": "Embedded Systems Lab (ESL) of EPFL" }, "revision_id": 0, "slug": "embeddedsystemslab-epfl", "updated": "2021-04-21T11:03:13.246596+00:00" }, { "access": { "member_policy": "open", "members_visibility": "restricted", "record_submission_policy": "open", "review_policy": "closed", "visibility": "public" }, "children": { "allow": true }, "created": "2022-11-23T15:53:29.436323+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "f0a8b890-f97a-4eb2-9eac-8b8a712d3a6c", "links": {}, "metadata": { "curation_policy": "The EU Open Research Repository serves as a repository for research outputs (data, software, posters, presentations, publications, etc) which have been funded under an EU research funding programme such as Horizon Europe, Euratom or earlier Framework Programmes.
\nThe community is managed by CERN on behalf of the European Commission.
\nZenodo’s general policies and Terms of Use apply to all content.
\nThe EU Open Research Repository accepts all digital research objects which is a research output stemming from one of EU’s research and innovation funding programmes. The funding programmes currently include:
\nHorizon Europe (including ERC, MSCA), earlier Framework Programmes (eg Horizon 2020) as well as Euratom.
\nIn line with the principle as open as possible, as closed as necessary both public and restricted content is accepted. See note on how Zenodo handles restricted content.
\nEU programme beneficiaries are eligible to submit content to the community. The community supports three types of content submissions:
\nSubmission via an EU Project Community (through user interface or programmatic APIs).
\nSubmission directly to the EU Open Research Repository.
\nAutomated harvesting from existing Zenodo content.
\nA representative of an EU project may request an EU Project Community and invite other project participants as members of the community. The project community is linked to one or more European Commission grants. All records in the project community are automatically integrated into the EU Open Research Repository immediately upon acceptance into the project community.
\nAny user may submit a record directly to the EU Open Research Repository. The submission will be moderated by Zenodo staff for compliance with the minimal required metadata requirements and its correctness.
\nRecords found among Zenodo’s existing content will on a regular basis automatically be integrated if they are found to comply with the requirements. The submissions through this method are integrated into the EU Open Research Repository with delay in a fully automated way.
\nRecords in the EU Open Research Repository are required to comply with the following minimal metadata requirements:
\nVisibility: Both public and restricted (with or without embargo and/or access request)
\nResource types: All resource types.
\nLicenses: Public and embargoed records MUST specify a license. The chosen license SHOULD be compliant with the Horizon Europe open science requirements (see Open Science in Horizon Europe)
\nFunding information: Records MUST specify at least one grant from the European Commission.
\nCreators: Creators SHOULD be identified with a persistent identifier (e.g. ORCID, GND, …), and affiliations SHOULD be identified with a persistent identifier (e.g. ROR, ISNI, …)
\nSubjects: Records SHOULD specify one or more fields of science from the European Science Vocabulary.
\nThese metadata requirements comes from the related open science requirements in Horizon Europe which are detailed in each project's grant agreement.
\nAll submissions undergo automated curation checks for compliance with the policy. Submissions through project communities are in addition reviewed by the project community. Submission directly to the EU Open Research Repository is in addiotn reviewed by Zenodo staff.
\nCommunity curators may at any point edit metadata of the records in the community without notice through human or automated processing. The curators may at their sole discretion remove records from the community that are deemed not to comply with the content and curation policy or which are deemed of insufficient quality.
\nThe content and curation policy is subject to change by the community owner at any time and without notice, other than through updating this page.
", "description": "Open repository for EU-funded research outputs from Horizon Europe, Euratom, and earlier Framework Programmes.", "funding": [ { "funder": { "id": "00k4n6c32" } } ], "organizations": [ { "id": "00k4n6c32" } ], "page": "The EU Open Research Repository is a Zenodo-community dedicated to fostering open science and enhancing the visibility and accessibility of research outputs funded by the European Union. The community is managed by CERN on behalf of the European Commission.
\nThe mission of the repository is to support the implementation of the EU's open science policy, providing a trusted and comprehensive space for researchers to share their research outputs such as data, software, reports, presentations, posters and more. The EU Open Research Repository simplifies the process of complying with open science requirements, ensuring that research outputs from Horizon Europe, Euratom, and earlier Framework Programmes are freely accessible, thereby accelerating scientific discovery and innovation.
\nThe EU Open Research Repository serves as a complementary platform to the Open Research Europe (ORE) publishing platform. Open Research Europe focuses on providing a publishing venue for peer-reviewed articles, ensuring that research meets rigorous academic standards. The EU Open Research Repository provides a space for all the other research outputs including data sets, software, posters, and presentations that are out of scope for ORE. This holistic approach enables researchers to not only publish their findings but also share the underlying data and materials that support their work, fostering transparency and reproducibility in the scientific process.
\nThe EU Open Research Repository is funded by the European Union under grant agreement no. 101256740 (HORIZON-ZEN Plus). For more information about the project see https://about.zenodo.org/projects/horizon-zen/.
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