Breath-by-breath cardiometabolic data during lateral walking

This dataset contains structured records from individual cardiometabolic test sessions, extracted from original Excel files. Each entry corresponds to one subject and includes both static metadata and dynamic time-series measurements. Structure Overview Each JSON block includes the following compone...

Full description

Saved in:
Bibliographic Details
Main Author: Biancardi, Carlo (author)
Other Authors: Bona, Renata (author), Parada, Alberto (author)
Format: dataset
Published: 2025
Subjects:
Online Access:https://doi.org/10.60895/redata/GXGOHS
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1868890225283956736
author Biancardi, Carlo
author2 Bona, Renata
Parada, Alberto
author2_role author
author
author_browse Biancardi, Carlo
Bona, Renata
Parada, Alberto
author_facet Biancardi, Carlo
Bona, Renata
Parada, Alberto
author_role author
collection REDATA
dc.contributor.none.fl_str_mv Biancardi, Carlo
dc.creator.none.fl_str_mv Biancardi, Carlo
Bona, Renata
Parada, Alberto
dc.date.none.fl_str_mv 2025-12-29
dc.identifier.none.fl_str_mv https://doi.org/10.60895/redata/GXGOHS
dc.publisher.none.fl_str_mv Repositorio de datos abiertos de investigación de Uruguay
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:REDATA
instname:Agencia Nacional de Investigación e Innovación
instacron:Agencia Nacional de Investigación e Innovación
dc.subject.none.fl_str_mv Medicine, Health and Life Sciences
Oxygen Consumption
Gait analysis
dc.title.none.fl_str_mv Breath-by-breath cardiometabolic data during lateral walking
dc.type.none.fl_str_mv Dataset
http://purl.org/coar/resource_type/c_ddb1
info:eu-repo/semantics/dataset
description This dataset contains structured records from individual cardiometabolic test sessions, extracted from original Excel files. Each entry corresponds to one subject and includes both static metadata and dynamic time-series measurements. Structure Overview Each JSON block includes the following components: subject_id: Unique identifier for the participant, extracted from the filename or cell A1 of the original Excel sheet. metadata: Key descriptive fields about the subject and test context. These include: age: Age of the subject at the time of testing height_cm: Height in centimeters weight_kg: Weight in kilograms sex: Biological sex test_type: Type of test performed (e.g., maximal, submaximal) test_date: Date of the test session subject_type: Classification of the subject (e.g., healthy, clinical) birth_date: Date of birth test_reason: Stated reason or objective for the test data_table: Time-series measurements recorded during the test. This includes: headers: List of variable names (e.g., VO₂, HR, GPS altitude, cadence) units: Corresponding units of measurement for each variable records: List of data rows, each representing a time point or step in the protocol. All columns are preserved to maintain raw data integrity.
eu_rights_str_mv openAccess
format dataset
id anni_ecdddb2a2ec8c3e452ae86f886c13c5a
instacron_str Agencia Nacional de Investigación e Innovación
institution Agencia Nacional de Investigación e Innovación
instname_str Agencia Nacional de Investigación e Innovación
network_acronym_str anni
network_name_str oai-lr-anni
oai_identifier_str doi:10.60895/redata/GXGOHS
publishDate 2025
publishDateSort 2025
publisher.none.fl_str_mv Repositorio de datos abiertos de investigación de Uruguay
reponame_str REDATA
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
spelling Breath-by-breath cardiometabolic data during lateral walkingBiancardi, CarloBona, RenataParada, AlbertoMedicine, Health and Life SciencesOxygen ConsumptionGait analysisThis dataset contains structured records from individual cardiometabolic test sessions, extracted from original Excel files. Each entry corresponds to one subject and includes both static metadata and dynamic time-series measurements. Structure Overview Each JSON block includes the following components: subject_id: Unique identifier for the participant, extracted from the filename or cell A1 of the original Excel sheet. metadata: Key descriptive fields about the subject and test context. These include: age: Age of the subject at the time of testing height_cm: Height in centimeters weight_kg: Weight in kilograms sex: Biological sex test_type: Type of test performed (e.g., maximal, submaximal) test_date: Date of the test session subject_type: Classification of the subject (e.g., healthy, clinical) birth_date: Date of birth test_reason: Stated reason or objective for the test data_table: Time-series measurements recorded during the test. This includes: headers: List of variable names (e.g., VO₂, HR, GPS altitude, cadence) units: Corresponding units of measurement for each variable records: List of data rows, each representing a time point or step in the protocol. All columns are preserved to maintain raw data integrity.Repositorio de datos abiertos de investigación de UruguayBiancardi, Carlo2025-12-29Datasethttp://purl.org/coar/resource_type/c_ddb1info:eu-repo/semantics/datasethttps://doi.org/10.60895/redata/GXGOHSreponame:REDATAinstname:Agencia Nacional de Investigación e Innovacióninstacron:Agencia Nacional de Investigación e Innovacióninfo:eu-repo/semantics/openAccessdoi:10.60895/redata/GXGOHS2026-06-17T23:09:06Z
spellingShingle Breath-by-breath cardiometabolic data during lateral walking
Biancardi, Carlo
Medicine, Health and Life Sciences
Oxygen Consumption
Gait analysis
title Breath-by-breath cardiometabolic data during lateral walking
title_full Breath-by-breath cardiometabolic data during lateral walking
title_fullStr Breath-by-breath cardiometabolic data during lateral walking
title_full_unstemmed Breath-by-breath cardiometabolic data during lateral walking
title_short Breath-by-breath cardiometabolic data during lateral walking
title_sort Breath-by-breath cardiometabolic data during lateral walking
topic Medicine, Health and Life Sciences
Oxygen Consumption
Gait analysis
url https://doi.org/10.60895/redata/GXGOHS