cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14670739
title: Lysozyme-like and phenoloxidase activity in the hemolymph and total ROS/RNA level in the homogenates of healthy and V. ceranae-infected honeybees collected in 3 time variants in May, June, July, August, and September and kept in the laboratory or the apiary

description: This file contain raw results and statistical summaries from Figures 2-4 and originals gels from Figures S1-S5 (Kunat-Budzyńska, M., Łabuć, E., & Ptaszyńska, A. A. (2025). Changes in enzymatic activity and oxidative stress in honeybees kept in the apiary and laboratory conditions during the course of nosemosis. PloS one, 20(1), e0317384. https://doi.org/10.1371/journal.pone.0317384).  The work was financed by the National Science Centre, Poland, project number 2021/41/N/NZ6/00735.
DOI: 10.5281/zenodo.14670740
title: Lysozyme-like and phenoloxidase activity in the hemolymph and total ROS/RNA level in the homogenates of healthy and V. ceranae-infected honeybees collected in 3 time variants in May, June, July, August, and September and kept in the laboratory or the apiary

description: This file contain raw results and statistical summaries from Figures 2-4 and originals gels from Figures S1-S5 (Kunat-Budzyńska, M., Łabuć, E., & Ptaszyńska, A. A. (2025). Changes in enzymatic activity and oxidative stress in honeybees kept in the apiary and laboratory conditions during the course of nosemosis. PloS one, 20(1), e0317384. https://doi.org/10.1371/journal.pone.0317384).  The work was financed by the National Science Centre, Poland, project number 2021/41/N/NZ6/00735.
DOI: 10.15468/dl.ncguau
title: Occurrence Download

description: A dataset containing 13568 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei)",
 "TaxonKey is Glochidion J.R.Forst. & G.Forst."
 ]
}

 The dataset includes 13568 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072407-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k8aupd
title: Occurrence Download

description: A dataset containing 27807 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is Europe",
 "Country is Spain",
 "Geometry POLYGON((-6.20211 36.89973,-6.31584 36.91922,-6.49457 36.73063,-6.05588 36.15554,-5.61719 35.96508,-5.41409 36.03738,-5.17037 36.44362,-5.21099 36.71761,-5.3166 36.93221,-5.65781 37.01009,-5.93402 37.05549,-6.0965 37.01658,-6.20211 36.89973))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 27807 records from 119 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072406-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9uuvpr
title: Occurrence Download

description: A dataset containing 2477194 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((10.61327 55.19414,19.90706 55.19414,19.90706 59.3992,10.61327 59.3992,10.61327 55.19414))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Fungi",
 "Year 2000-2025"
 ]
}

 The dataset includes 2477194 records from 135 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072365-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14671103
title: Patch Clamp Data from FWF Project for Gibhardt CS Cell reports 2020

description: Contribution of FWF Project 32778 to or Gibhardt CS Cell reports 2020
DOI: 10.5281/zenodo.14671104
title: Patch Clamp Data from FWF Project for Gibhardt CS Cell reports 2020

description: Contribution of FWF Project 32778 to or Gibhardt CS Cell reports 2020
DOI: 10.5281/zenodo.14671141
title: Analysis data
DOI: 10.5281/zenodo.14671150
title: Analysis data
DOI: 10.5281/zenodo.14671142
title: Data Bank Syariah
DOI: 10.5281/zenodo.14671143
title: Data Bank Syariah
DOI: 10.5281/zenodo.14671140
title: Analysis data
DOI: 10.5281/zenodo.14671155
title: Analysis data
DOI: 10.5281/zenodo.14671078
title: Scanning electron irradiation of hexagonal boron nitride monitored by in-situ room temperature cathodoluminescence.
DOI: 10.5281/zenodo.14671079
title: Scanning electron irradiation of hexagonal boron nitride monitored by in-situ room temperature cathodoluminescence.
DOI: 10.15468/dl.fc3dwq
title: Occurrence Download

description: A dataset containing 11450899 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((10.61327 55.19414,19.90706 55.19414,19.90706 59.3992,10.61327 59.3992,10.61327 55.19414))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae",
 "Year 2000-2025"
 ]
}

 The dataset includes 11450899 records from 188 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072366-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/8953-0253
title: Greenhouse and Cultivated Land Sample Dataset

description: Facility agriculture and arable land data play crucial roles in modern agricultural management and sustainable development. Accurate and up-to-date information regarding facility agriculture, including greenhouses, hydroponic systems, and other controlled environments, enables farmers and policymakers to make informed decisions. It helps in optimizing resource use, improving crop yields, and ensuring food security. Meanwhile, arable land data are essential for monitoring and managing the availability and quality of land suitable for cultivation. They support land use planning, conservation efforts, and the identification of potential expansion areas for agriculture. By understanding the dynamics and distribution of arable land, we can address issues such as soil degradation, deforestation, and urbanization that threaten food production. In conclusion, the significance of facility agriculture and arable land data cannot be overstated as they form the foundation for sustainable agricultural practices and the provision of adequate food supply for growing populations worldwide.The relevant information will be updated following the publication of "Semantically Segmenting Remote Sensing Images Based on Multiview Shape-Constrained Strategies: Applications in Facility Agriculture and Cultivated Land".
DOI: 10.5281/zenodo.14671059
title: NodeGoat Dataset for Dura-Europos

description: This dataset concerns inscriptions (csv 13) and people (csv 14) mentioning Dura-Europos inscriptions, both Greek and Aramaic.
DOI: 10.5281/zenodo.14671060
title: NodeGoat Dataset for Dura-Europos

description: This dataset concerns inscriptions (csv 13) and people (csv 14) mentioning Dura-Europos inscriptions, both Greek and Aramaic.
DOI: 10.7483/opendata.cms.tpxr.s207
title: /WbjToLNu_4f_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.j6my.o3av
title: /WbjToLNu_4f_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.voyt.p0vk
title: /WkkToWRadionToWWW_M2000_Mr170_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.0t3m.x0ag
title: /WkkToWRadionToWWW_M2000_Mr170_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.zqpm.iugy
title: /WkkToWRadionToWWW_M2000_Mr400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.autg.a1o1
title: /WkkToWRadionToWWW_M2000_Mr400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.qfr6.3qb0
title: /WkkToWRadionToWWW_M3000_Mr170_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.a2w7.6z38
title: /WkkToWRadionToWWW_M3000_Mr170_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.qmik.3hkn
title: /WkkToWRadionToWWW_M3000_Mr400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.0k7h.jg0k
title: /WkkToWRadionToWWW_M3000_Mr400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.8jnj.jn9j
title: /WkkToWRadionToWWW_M5000_Mr170_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.oey3.ow87
title: /WkkToWRadionToWWW_M5000_Mr170_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.8l54.hc09
title: /WkkToWRadionToWWW_M5000_Mr400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.5281/zenodo.14392089
title: Comprehensive Spatial-Temporal Dataset for Precision Viticulture (2020-2021)

description: Over two growing seasons (2020-2021), this dataset offers comprehensive information on environmental factors and grapevine water status in a Vitis vinifera L. cv. Merlot vineyard located in Bakersfield, California, USA. It includes ground-based measurements of midday stem water potential, leaf gas exchange parameters, grape composition, soil data, and weather conditions, along with corresponding Landsat 8 satellite imagery. The study design features 24 experimental units aligned with Landsat 8 pixels, with biweekly measurements coinciding with satellite overpasses. Weather data from a nearby CIMIS station and Landsat 8 imagery with less than 10% cloud cover were acquired for all measurement dates. This dataset is valuable for researchers in viticulture, remote sensing, and agricultural sciences, offering opportunities to develop models for predicting grapevine water status using satellite imagery and machine learning techniques. It enables the exploration of spatial-temporal patterns in vineyard water status and the assessment of different cross-validation techniques for agricultural machine learning models.
DOI: 10.5281/zenodo.14392090
title: Comprehensive Spatial-Temporal Dataset for Precision Viticulture in Hot and Arid Climates: Remote Sensing, Soil Chemistry-Physics, Grapevine Physiology and Grape Quality Data (2020-2021)

description: This dataset provides comprehensive information on grapevine water status and associated environmental factors collected over two consecutive growing seasons (2020-2021) in a Vitis vinifera L. cv. Merlot vineyard in Bakersfield, California, USA. The data includes ground-based measurements of midday stem water potential (Ψstem), leaf gas exchange parameters (carbon assimilation rate AN and stomatal conductance gs), grape composition, soil data, weather conditions, and corresponding Landsat 8 satellite imagery. Measurements were taken from 24 experimental units, each containing 36 vines, designed to align with Landsat 8 pixels. Plant physiological data were collected biweekly, coinciding with satellite overpasses. Weather data, including maximum temperature and minimum relative humidity, were obtained from a nearby California Irrigation Management Information System (CIMIS) station. Landsat 8 imagery with less than 10% cloud cover was acquired for all measurement dates, and various vegetation indices were computed. This dataset is valuable for researchers and practitioners in viticulture, remote sensing, and agricultural sciences, offering opportunities to develop and validate models for predicting grapevine water status using satellite imagery and machine learning techniques. It enables the exploration of spatial-temporal patterns in vineyard water status and the assessment of different cross-validation techniques for machine learning models in agriculture. The dataset's comprehensive nature allows for in-depth analysis of the relationships between grapevine water status, grape composition, environmental conditions, and remotely sensed data.
DOI: 10.5281/zenodo.14671182
title: Comprehensive Spatial-Temporal Dataset for Precision Viticulture (2020-2021)

description: Over two growing seasons (2020-2021), this dataset offers comprehensive information on environmental factors and grapevine water status in a Vitis vinifera L. cv. Merlot vineyard located in Bakersfield, California, USA. It includes ground-based measurements of midday stem water potential, leaf gas exchange parameters, grape composition, soil data, and weather conditions, along with corresponding Landsat 8 satellite imagery. The study design features 24 experimental units aligned with Landsat 8 pixels, with biweekly measurements coinciding with satellite overpasses. Weather data from a nearby CIMIS station and Landsat 8 imagery with less than 10% cloud cover were acquired for all measurement dates. This dataset is valuable for researchers in viticulture, remote sensing, and agricultural sciences, offering opportunities to develop models for predicting grapevine water status using satellite imagery and machine learning techniques. It enables the exploration of spatial-temporal patterns in vineyard water status and the assessment of different cross-validation techniques for agricultural machine learning models.
DOI: 10.7483/opendata.cms.0mj0.ze7r
title: /WkkToWRadionToWWW_M5000_Mr400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.fsbm.nnhc
title: /WmH_HToUps1SG_M125_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.yqct.zm7f
title: /WmH_HToUps1SG_M125_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.usit.g89k
title: /WmH_HToUps2SG_M125_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.7eow.78zy
title: /WmH_HToUps2SG_M125_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.ion9.ti8m
title: /WmH_HToUps3SG_M125_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.5281/zenodo.14671218
title: NodeGoat Dataset for Dura-Europos

description: This dataset concerns inscriptions (csv 13) and people (csv 14) mentioning Dura-Europos inscriptions, both Greek and Aramaic.
DOI: 10.5281/zenodo.14671219
title: NodeGoat Dataset for Dura-Europos

description: This dataset concerns inscriptions (csv 13) and people (csv 14) mentioning Dura-Europos inscriptions, both Greek and Aramaic.
DOI: 10.7483/opendata.cms.8c4i.jy0q
title: /WmH_HToUps3SG_M125_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.v9zk.s5iy
title: /WminusH_HTo2LongLivedTo2G2Q_MH-125_MFF-15_ctau-0cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.h4x2.dft6
title: /WminusH_HTo2LongLivedTo2G2Q_MH-125_MFF-15_ctau-0cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.200f.x4w4
title: /WminusH_HTo2LongLivedTo2G2Q_MH-125_MFF-15_ctau-0cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.5chm.94ls
title: /WminusH_HTo2LongLivedTo2G2Q_MH-125_MFF-15_ctau-0cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.8jqm.x7is
title: /WminusH_HTo2LongLivedTo2G2Q_MH-125_MFF-15_ctau-1000cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.r8do.05xq
title: /WminusH_HTo2LongLivedTo2G2Q_MH-125_MFF-15_ctau-1000cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.0p7y.s3tx
title: /WminusH_HTo2LongLivedTo2G2Q_MH-125_MFF-15_ctau-1000cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.yztg.fs9h
title: /WminusH_HTo2LongLivedTo2G2Q_MH-125_MFF-15_ctau-1000cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.iase.1d9w
title: /WminusH_HTo2LongLivedTo2G2Q_MH-125_MFF-15_ctau-100cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.lfr7.aimn
title: /WminusH_HTo2LongLivedTo2G2Q_MH-125_MFF-15_ctau-100cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.y2ld.755u
title: /WminusH_HTo2LongLivedTo2G2Q_MH-125_MFF-15_ctau-100cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.4wtg.0xgm
title: /WminusH_HTo2LongLivedTo2G2Q_MH-125_MFF-15_ctau-100cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.z11v.esys
title: /WminusH_HTo2LongLivedTo2G2Q_MH-125_MFF-15_ctau-10cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.leco.qolw
title: /WminusH_HTo2LongLivedTo2G2Q_MH-125_MFF-15_ctau-10cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.wm6z.zm8i
title: /WminusH_HTo2LongLivedTo2G2Q_MH-125_MFF-15_ctau-10cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.lj9d.9lpu
title: /WminusH_HTo2LongLivedTo2G2Q_MH-125_MFF-15_ctau-10cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.yhem.y0m1
title: /WminusH_HTo2LongLivedTo2G2Q_MH-125_MFF-15_ctau-20cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.se34.ntvx
title: /WminusH_HTo2LongLivedTo2G2Q_MH-125_MFF-15_ctau-20cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.e3gm.r4qp
title: /WminusH_HTo2LongLivedTo2G2Q_MH-125_MFF-15_ctau-20cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.r5zo.6j9t
title: /WminusH_HTo2LongLivedTo2G2Q_MH-125_MFF-15_ctau-20cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.5281/zenodo.14671168
title: patch clamp data to  "Oxidative Stress-Induced STIM2 Cysteine Modifications Suppress Store-Operated Calcium Entry." for FWF Project 32778

description: patch clamp data to  "Oxidative Stress-Induced STIM2 Cysteine Modifications Suppress Store-Operated Calcium Entry." for FWF Project 32778
DOI: 10.5281/zenodo.14671169
title: patch clamp data to  "Oxidative Stress-Induced STIM2 Cysteine Modifications Suppress Store-Operated Calcium Entry." for FWF Project 32778

description: patch clamp data to  "Oxidative Stress-Induced STIM2 Cysteine Modifications Suppress Store-Operated Calcium Entry." for FWF Project 32778
DOI: 10.7483/opendata.cms.ajsi.w8in
title: /WminusH_HTo2LongLivedTo2G2Q_MH-125_MFF-15_ctau-50cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.ro82.1aa4
title: /WminusH_HTo2LongLivedTo2G2Q_MH-125_MFF-15_ctau-50cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.bn03.vu4y
title: /WminusH_HTo2LongLivedTo2G2Q_MH-125_MFF-15_ctau-50cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.q0tl.b5v9
title: /WminusH_HTo2LongLivedTo2G2Q_MH-125_MFF-15_ctau-50cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.4neh.zv5d
title: /WminusH_HTo2LongLivedTo2G2Q_MH-125_MFF-1_ctau-0cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.q28u.a1mh
title: /WminusH_HTo2LongLivedTo2G2Q_MH-125_MFF-1_ctau-0cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.5281/zenodo.10031036
title: Effects of combined training or moderate intensity continuous training during a 3‑week multidisciplinary body weight reduction program on cardiorespiratory fitness, body composition, and substrate oxidation rate in adolescents with obesity

description: This study aimed to investigate the effects of combined training (COMB, a combination of moderate intensity continuous training-MICT and high-intensity interval training-HIIT) vs. continuous MICT administered during a 3-week in-hospital body weight reduction program (BWRP) on body composition, physical capacities, and substrate oxidation in adolescents with obesity. The 3-week in-hospital BWRP entailed moderate energy restriction, nutritional education, psychological counseling, and two different protocols of physical exercise. Twenty-one male adolescents with obesity (mean age: 16.1 ± 1.5 years; mean body mass index [BMI] 37.8 ± 4.5 kg m2) participated in this randomized control trial study (n:10 for COMB, n:11 MICT), attending ~ 30 training sessions. The COMB group performed 3 repetitions of 2 min at 95% of peak oxygen uptake (V′O2 peak) (e.g., HIIT ≤ 20%), followed by 30 min at 60% of V′O2 peak (e.g., MICT ≥ 80%). Body composition, V′O2 peak, basal metabolic rate (BMR), energy expenditure, and substrate oxidation rate were measured during the first week (W0) and at the end of three weeks of training (W3). The two training programs were equivalent in caloric expenditure. At W3, body mass (BM) and fat mass (FM) decreased significantly in both groups, although the decrease in BM was significantly greater in the MICT group than in the COMB group (BM: − 5.0 ± 1.2 vs. − 8.4 ± 1.5, P < 0.05; FM: − 4.3 ± 3.0 vs. − 4.2 ± 1.9 kg, P < 0.05). V′O2 peak increased only in the COMB by a mean of 0.28 ± 0.22 L min−1 (P < 0.05). The maximal fat oxidation rate (MFO) increased only in the COMB group by 0.04 ± 0.03 g min−1 (P < 0.05). COMB training represents a viable alternative to MICT for improving anthropometric characteristics, physical capacities, and MFO in adolescents with obesity during a 3-week in-hospital BWRP.