cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18160/gcp-2023
title: Supplemental data of Global Carbon Budget 2023

description: Supplement containing data related to the 2023 Global Carbon Budget from the Global Carbon Project. Reference of the full Global Carbon Budget 2023: Friedlingstein, P., O'Sullivan, M., Jones, M. W., Andrew, R. M., Bakker, D. C. E., Hauck, J., Landschützer, P., Le Quéré, C., Luijkx, I. T., Peters, G. P., Peters, W., Pongratz, J., Schwingshackl, C., Sitch, S., Canadell, J. G., Ciais, P., Jackson, R. B., Alin, S. R., Anthoni, P., Barbero, L., Bates, N. R., Becker, M., Bellouin, N., Decharme, B., Bopp, L., Brasika, I. B. M., Cadule, P., Chamberlain, M. A., Chandra, N., Chau, T.-T.-T., Chevallier, F., Chini, L. P., Cronin, M., Dou, X., Enyo, K., Evans, W., Falk, S., Feely, R. A., Feng, L., Ford, D. J., Gasser, T., Ghattas, J., Gkritzalis, T., Grassi, G., Gregor, L., Gruber, N., Gürses, Ö., Harris, I., Hefner, M., Heinke, J., Houghton, R. A., Hurtt, G. C., Iida, Y., Ilyina, T., Jacobson, A. R., Jain, A., Jarníková, T., Jersild, A., Jiang, F., Jin, Z., Joos, F., Kato, E., Keeling, R. F., Kennedy, D., Klein Goldewijk, K., Knauer, J., Korsbakken, J. I., Körtzinger, A., Lan, X., Lefèvre, N., Li, H., Liu, J., Liu, Z., Ma, L., Marland, G., Mayot, N., McGuire, P. C., McKinley, G. A., Meyer, G., Morgan, E. J., Munro, D. R., Nakaoka, S.-I., Niwa, Y., O'Brien, K. M., Olsen, A., Omar, A. M., Ono, T., Paulsen, M., Pierrot, D., Pocock, K., Poulter, B., Powis, C. M., Rehder, G., Resplandy, L., Robertson, E., Rödenbeck, C., Rosan, T. M., Schwinger, J., Séférian, R., Smallman, T. L., Smith, S. M., Sospedra-Alfonso, R., Sun, Q., Sutton, A. J., Sweeney, C., Takao, S., Tans, P. P., Tian, H., Tilbrook, B., Tsujino, H., Tubiello, F., van der Werf, G. R., van Ooijen, E., Wanninkhof, R., Watanabe, M., Wimart-Rousseau, C., Yang, D., Yang, X., Yuan, W., Yue, X., Zaehle, S., Zeng, J., and Zheng, B.: Global Carbon Budget 2023, Earth Syst. Sci. Data, 15, 5301–5369, https://doi.org/10.5194/essd-15-5301-2023, 2023.
Further information is available on: http://www.globalcarbonproject.org/carbonbudget. File Global_Carbon_Budget_2023v1.1.xlsx includes the following: 1. Summary 2. Global Carbon Budget 3. Historical Budget. 4. Fossil fuel emissions by category. 5. Land-use change emissions 6. Ocean Sink 7. Terrestrial sink 8. Cement Carbonation Sink. File National_Carbon_Emissions_2023v1.0.xlsx includes the following: 1. Summary 2. Territorial emissions 3. Consumption emissions 4. Emissions transfers 5. Regions. National_LandUseChange_Emissions_2023v1.0.xlsx contains the following: 1. Summary. 2. BLUE. 3. H&C2023. 4. OSCAR
DOI: 10.15468/dl.fdcdbe
title: Occurrence Download

description: A dataset containing 3172 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amphiprion ocellaris"
 ]
}

 The dataset includes 3172 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022560-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25318/3310103401-fra
title: Durée de maintien du niveau actuel de personnel des entreprises ou des organismes si les droits de douane imposés par les États-Unis et le Canada demeurent à leur niveau actuel, troisième trimestre de 2025

description: Durée de maintien du niveau actuel de personnel des entreprises ou des organisations si les droits de douane imposés par les États-Unis et le Canada demeurent à leur niveau actuel, selon le Système de classification des industries de l’Amérique du Nord (SCIAN), l’effectif de l’entreprise, le type d’entreprise, l’activité de l'entreprise et le propriétaire majoritaire, troisième trimestre de 2025.
DOI: 10.18160/wkdk-j48z
title: ICOS OTC FOS Release from Porcupine Abyssal Plain
DOI: 10.18160/gcp-2021
title: Supplemental data of Global Carbon Project 2021

description: Supplement containing data related to the 2021 Global Carbon Budget from the Global Carbon Project. The original article is Friedlingstein et al: Global Carbon Budget 2021, Earth Syst. Sci. Data Discussions, 2021. https://doi.org/10.5194/essd-xx-xxxx-2021. Further information is available on: http://www.globalcarbonproject.org/carbonbudget. File Global_Carbon_Budget_2021v1.0.xlsx includes the following: 1. Summary 2. Global Carbon Budget 3. Fossil fuel emissions by Fuel Type 4. Land-use change emissions 5. Ocean Sink 6. Terrestrial sink 7. Historical Budget. File National_Carbon_Emissions_2020v1.0.xlsx includes the following: 1. Summary 2. Territorial emissions 3. Consumption emissions 4. Emissions transfers 5. Country definitions 6. Disaggregation 7. Aggregation
DOI: 10.5281/zenodo.17021241
title: Supporting Data for Ligand Field Tuning of Photoreactivity: Contrasting Low-spin and High-spin Fe(III)-Azido Complexes

description: This repository contains all relevant computational data related to the publication "Ligand Field Tuning of Photoreactivity: Contrasting Low-spin and High-spin Fe(III)-Azido Complexes".

The dataset is split into the raw quantum chemical data and notebooks for analysis, which operate on the enclosed data.
DOI: 10.15468/dl.k7tyah
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Occurrence evidence",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Carcharhinus leucas"
 ]
}

 The dataset includes 64 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022562-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8222e5
title: Occurrence Download

description: A dataset containing 14684086 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Basidiomycota",
 "Geometry POLYGON((-10.478179 34.815009, 40.159543 34.815009, 40.159543 71.180365, -10.478179 71.180365, -10.478179 34.815009))"
 ]
}

 The dataset includes 14684086 records from 1367 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022517-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wd65at
title: Occurrence Download

description: A dataset containing 240 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Occurrence evidence",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Garrulus glandarius"
 ]
}

 The dataset includes 240 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022561-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4bk2tc
title: Occurrence Download

description: A dataset listing the 1727 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((2.52083 46.50904,2.64094 46.50904,2.64094 46.60797,2.52083 46.60797,2.52083 46.50904))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset's 1727 records were derived from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022548-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2b8n28
title: Occurrence Download

description: A dataset containing 264 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aspidelaps scutatus"
 ]
}

 The dataset includes 264 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022563-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17047123
title: SARS-CoV-2 Sequenzdaten aus Deutschland

description: Ein zentraler Bestandteil einer erfolgreichen Erregersurveillance ist das Verständnis der Verbreitung eines Erregers sowie seiner pathogenen Eigenschaften. Hierbei stellt das Wissen über das Erregergenom eine wichtige Informationsquelle dar. So erlaubt der Nachweis von Mutationen im Genom eines Erregers, Verwandtschaftsbeziehungen zu rekonstruieren, Übertragungswege aufzudecken und Resistenzen vorherzusagen. Die Integrierte Genomische Surveillance (IGS) von SARS-CoV-2 zielt darauf ab, die Verbreitung des Virus und insbesondere von besorgniserregenden Virusvarianten in der Bevölkerung zu überwachen sowie auftretende Veränderungen des Virus genau zu beobachten. Besondere Bedeutung kommt dabei der öffentlichen Bereitstellung der genomischen Daten zu, um Wissenschaftlern in Deutschland und weltweit die Möglichkeit zu eigenständigen Analysen zu eröffnen.  Im Rahmen der Coronavirus-Surveillanceverordnung wurden bis zum 31.05.2023 SARS-CoV-2 Sequenzdaten aus ganz Deutschland über den Deutschen Elektronischen Sequenzdaten-Hub (DESH) an das RKI übermittelt. Mit Ablauf der Verordnung werden künftig Proben durch das IMSSC2 Labornetzwerk bereitgestellt und am RKI sequenziert, analysiert und hier bereitgestellt. Trotz reduzierter  Probenanzahl, wird durch die sorgfältige Auswahl der beteiligten Labore ein repräsentativer Einblick in die Viruspopluation gesichert (Djin Ye Oh  et al. 2022). Zusätzlich werden Sequenzen vom NRZ Coronaviren an der Charité beigetragen um das IMSSC2 Netzwerk zu ergänzen.
DOI: 10.6084/m9.figshare.28942055
title: forskali_coelomocyte_proteome.fa

description: Fasta file of the translated transcriptome (peptide sequences)
DOI: 10.6084/m9.figshare.28942055.v1
title: forskali_coelomocyte_proteome.fa

description: Fasta file of the translated transcriptome (peptide sequences)
DOI: 10.18160/v1y4-ntk0
title: Harmonised and offset corrected methane isotopic composition (ch4, 13ch4, d2h_ch4) from high northern and southern latitudes

description: This dataset comprises high-precision atmospheric methane (CH4) mole fraction measurements and isotopic compositions (δ13C-CH4 and δD-CH4), collected from eight laboratories operating at high-latitude stations in both hemispheres between 1988 and 2023. Each record includes timestamped values (DateTimeISO, Year, Month, Day, Hour, Minute, Second), laboratory identifiers, CH4 mole fractions and their associated uncertainties, isotopic ratios and uncertainties for both Northern and Southern Hemisphere sites, as well as metadata such as the number of data points and quality flags. The dataset has been harmonised using a nearest-neighbour approach and corrected for interlaboratory offsets to produce hemisphere-specific time series aligned to the MPI-BGC methane isotope and mole fraction scale. All data sources are listed in the included data provider listing. The dataset supports B. Dasgupta et al. (2025). Harmonisation of methane isotope ratio measurements from different laboratories using atmospheric samples, submitted to Atmospheric Measurement Techniques.
DOI: 10.18160/xkka-awrs
title: European Obspack compilation of atmospheric nitrous oxide data from ICOS stations for the period 1996-2025; obspack_n2o_466_GV_ICOSFT2025.1_20250120

description: This  data package contains high accuracy N2O dry air mole fractions from 26 ICOS European observatories at in total 73 observation levels, collected by the ICOS Atmosphere Thematic Centre (ATC) and provided by the station contributors. The package includes the 2025.1 FastTrack update of the Globalview EU data product and is intended for use in carbon cycle inverse modeling, model evaluation, and satellite validation studies.  Please report errors and send comments regarding this product to the ObsPack originators. Please read carefully the ObsPack Fair Use statement and cite appropriately. Please review the release notes for the associated Obspack product at www.esrl.noaa.gov/gmd/ccgg/obspack/release_notes.html. Metadata for this product are available at https://commons.datacite.org/doi.org/10.18160/XKKA-AWRS. Please visit http://www.gml.noaa.gov/ccgg/obspack/ for more information on Obspack.
DOI: 10.18160/46xg-fyap
title: European Obspack compilation of atmospheric carbon dioxide data from ICOS stations for the period 1972-2025; obspack_co2_466_GV_ICOSFT2025.2_20250527

description: This  data package contains high accuracy CO2 dry air mole fractions from 39 ICOS European observatories at in total 95 observation levels, collected by the ICOS Atmosphere Thematic Centre (ATC) and provided by the station contributors. The package includes the 2025.2 FastTrack update of the Globalview EU data product and is intended for use in carbon cycle inverse modeling, model evaluation, and satellite validation studies. Please report errors and send comments regarding this product to the ObsPack originators. Please read carefully the ObsPack Fair Use statement and cite appropriately. Please review the release notes for the associated Obspack product at www.esrl.noaa.gov/gmd/ccgg/obspack/release_notes.html. Metadata for this product are available at https://commons.datacite.org/doi.org/10.18160/46XG-FYAP. Please visit http://www.gml.noaa.gov/ccgg/obspack/ for more information on Obspack.
DOI: 10.18160/n6ex-15mm
title: European Obspack compilation of atmospheric nitrous oxide data from ICOS stations for the period 1996-2025; obspack_n2o_466_GV_ICOSFT2025.2_20250527

description: This  data package contains high accuracy N2O dry air mole fractions from 26 ICOS European observatories at in total 73 observation levels, collected by the ICOS Atmosphere Thematic Centre (ATC) and provided by the station contributors. The package includes the 2025.2 FastTrack update of the Globalview EU data product and is intended for use in carbon cycle inverse modeling, model evaluation, and satellite validation studies. Please report errors and send comments regarding this product to the ObsPack originators. Please read carefully the ObsPack Fair Use statement and cite appropriately. Please review the release notes for the associated Obspack product at www.esrl.noaa.gov/gmd/ccgg/obspack/release_notes.html. Metadata for this product are available at https://commons.datacite.org/doi.org/10.18160/N6EX-15MM. Please visit http://www.gml.noaa.gov/ccgg/obspack/ for more information on Obspack.
DOI: 10.5281/zenodo.17046972
title: SARS-CoV-2 Infektionen in Deutschland

description: Der vorliegende Datansatz enthält umfassende Informationen zu SARS-CoV-2-Infektionen in Deutschland, die gemäß dem Infektionsschutzgesetze (IfSG) von den Gesundheitsämtern an das Robert Koch-Institut (RKI) gemeldet wurden. Die Daten umfassen Informationen zur Anzahl der bestätigten Fälle, Todesfälle und Genesungen, aus denen sich weitere Kennzahlen im Zusammenhang mit der COVID-19-Pandemie ableiten lassen. Der Datensatz wird täglich aktualisiert und enthält detaillierte Informationen auf Landkreisebene, die nach verschiedenen Altersgruppen aufgeschlüsselt sind. Die Bereitstellung des Datensatzes soll dazu beitragen, das Verständnis der COVID-19-Pandemie in Deutschland zu verbessern und die Berichterstattung, Forschung und Analyse in diesem Bereich zu unterstützen.
DOI: 10.18160/46a2-7aba
title: European Obspack compilation of atmospheric methane data from ICOS stations for the period 1984-2025; obspack_ch4_466_GV_ICOSFT2025.2_20250527

description: This  data package contains high accuracy CH4 dry air mole fractions from 39 ICOS European observatories at in total 95 observation levels, collected by the ICOS Atmosphere Thematic Centre (ATC) and provided by the station contributors. The package includes the 2025.2 FastTrack update of the Globalview EU data product and is intended for use in carbon cycle inverse modeling, model evaluation, and satellite validation studies. Please report errors and send comments regarding this product to the ObsPack originators. Please read carefully the ObsPack Fair Use statement and cite appropriately. Please review the release notes for the associated Obspack product at www.esrl.noaa.gov/gmd/ccgg/obspack/release_notes.html. Metadata for this product are available at https://commons.datacite.org/doi.org/10.18160/46A2-7ABA. Please visit http://www.gml.noaa.gov/ccgg/obspack/ for more information on Obspack.
DOI: 10.18160/0med-mg1w
title: Atmospheric GHG data product (o2, o2_stdev, co2, co2_stdev) from Cabauw (207.0 m)

description: Time series of continuous atmospheric measurements of O2 and CO2 at the Cabauw in the Netherlands between September 2024 and March 2025. The measurements are ongoing and will be updated in the future. These measurements are at 207 m height, future updates will include also 2 other heights: 27 and 67 m (started in March 2025). The CO2 is reported in ppm units and was measured using a non-dispersive infrared (NDIR) CO2 analyser URAS. The O2 is reported as O2/N2 in per meg units and was measured using a dual lead fuel cell O2 analyser, Oxzilla from Sable Systems International Inc. We report hourly averages (with their standard deviation) of 2-minute measurements. An hour must have at least 9 measurements or the hourly average is not included. "NA" is used when there is no data. Gaps in the data are due to routine running of calibration cylinders, maintenance and removal of data with known technical issues. CO2 data are reported on the WMO NOAA X2019 calibration scale. O2 data are on the Scripps Institution of Oceanography (SIO) 2023 calibration scale.
DOI: 10.18160/gcp-2024
title: Supplemental data of Global Carbon Budget 2024

description: Supplement containing data related to the 2024 Global Carbon Budget from the Global Carbon Project. 
Reference of the full Global Carbon Budget 2024: Friedlingstein, P., O'Sullivan, M., Jones, M. W., Andrew, R. M., Hauck, J., Landschützer, P., Le Quéré, C., Li, H., Luijkx, I. T., Olsen, A., Peters, G. P., Peters, W., Pongratz, J., Schwingshackl, C., Sitch, S., Canadell, J. G., Ciais, P., Jackson, R. B., Alin, S. R., Arneth, A., Arora, V., Bates, N. R., Becker, M., Bellouin, N., Berghoff, C. F., Bittig, H. C., Bopp, L., Cadule, P., Campbell, K., Chamberlain, M. A., Chandra, N., Chevallier, F., Chini, L. P., Colligan, T., Decayeux, J., Djeutchouang, L., Dou, X., Duran Rojas, C., Enyo, K., Evans, W., Fay, A., Feely, R. A., Ford, D. J., Foster, A., Gasser, T., Gehlen, M., Gkritzalis, T., Grassi, G., Gregor, L., Gruber, N., Gürses, Ö., Harris, I., Hefner, M., Heinke, J., Hurtt, G. C., Iida, Y., Ilyina, T., Jacobson, A. R., Jain, A., Jarníková, T., Jersild, A., Jiang, F., Jin, Z., Kato, E., Keeling, R. F., Klein Goldewijk, K., Knauer, J., Korsbakken, J. I., Lauvset, S. K., Lefèvre, N., Liu, Z., Liu, J., Ma, L., Maksyutov, S., Marland, G., Mayot, N., McGuire, P., Metzl, N., Monacci, N. M., Morgan, E. J., Nakaoka, S.-I., Neill, C., Niwa, Y., Nützel, T., Olivier, L., Ono, T., Palmer, P. I., Pierrot, D., Qin, Z., Resplandy, L., Roobaert, A., Rosan, T. M., Rödenbeck, C., Schwinger, J., Smallman, T. L., Smith, S., Sospedra-Alfonso, R., Steinhoff, T., Sun, Q., Sutton, A. J., Séférian, R., Takao, S., Tatebe, H., Tian, H., Tilbrook, B., Torres, O., Tourigny, E., Tsujino, H., Tubiello, F., van der Werf, G., Wanninkhof, R., Wang, X., Yang, D., Yang, X., Yu, Z., Yuan, W., Yue, X., Zaehle, S., Zeng, N., and Zeng, J.: Global Carbon Budget 2024, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2024-519, in review, 2024.
Further information is available on: http://www.globalcarbonproject.org/carbonbudget. 
- File Global_Carbon_Budget_2024v1.1.xlsx includes the following: 1. Summary 2. Global Carbon Budget 3. Historical Budget. 4. Fossil fuel emissions by category. 5. Land-use change emissions 6. Ocean Sink 7. Terrestrial sink 8. Cement Carbonation Sink. 
- File National_Carbon_Emissions_2024v1.01.xlsx includes the following: 1. Summary 2. Territorial emissions 3. Consumption emissions 4. Emissions transfers 5. Regions. 
- National_LandUseChange_Emissions_2024v1.01.xlsx contains the following: 1. Summary. 2. BLUE. 3. H&C. 4. OSCAR. 5. LUCE.
DOI: 10.18160/w3n3-9s4d
title: European hourly NEP, NPP, GPP and heterotrophic respiration for 2010-2023 based on LPJ-GUESS  (generated in 2024)

description: The product is generated in 2025. LPJ-GUESS (version 4.0, revision 6562) is forced with hourly ERA5 climate datasets to simulate European terrestrial CO2 flux at a resolution of 0.5 degree.  LPJ-GUESS is a process-based dynamic global vegetation model, it uses time series data (e.g. climate forcing and atmospheric carbon dioxide concentrations with WMO CO2 X2019 scale) as input to simulate the effects of environmental change on vegetation structure and composition in terms of EU plant functional types (PFTs), soil hydrology and biogeochemistry (Smith et al., 2001, https://web.nateko.lu.se/lpj-guess/). This simulation models natural fluxes, such as those from vegetation and soil under climate change, via natural processes such as biomass allocation, growth, reproduction, establishment, mortality, and disturbance. This means it does not include anthropogenic activities, such as forest management or agricultural management. The positive value means CO2 uptake from the atmosphere, and the negative value means CO2 release to the atmosphere.
DOI: 10.18160/wrn4-1dv6
title: Global hourly NEP, NPP, GPP and heterotrophic respiration for 2010-2023 based on LPJ-GUESS (generated in 2024)

description: The product is generated in 2024. LPJ-GUESS (version 4.0, revision 6562) is forced with hourly ERA5 climate datasets to simulate global terrestrial CO2 flux at a resolution of 0.5 degree.  LPJ-GUESS is a process-based dynamic global vegetation model, it uses time series data (e.g. climate forcing and atmospheric carbon dioxide concentrations with WMO CO2 X2019 scale) as input to simulate the effects of environmental change on vegetation structure and composition in terms of global plant functional types (PFTs), soil hydrology and biogeochemistry (Smith et al., 2001, https://web.nateko.lu.se/lpj-guess/). This simulation models natural fluxes, such as those from vegetation and soil under climate change, via natural processes such as biomass allocation, growth, reproduction, establishment, mortality, and disturbance. This means it does not include anthropogenic activities, such as forest management or agricultural management. The positive value means CO2 uptake from the atmosphere, and the negative value means CO2 release to the atmosphere.
DOI: 10.18160/62yq-tshn
title: REA flux time series archive (L2), Hardau, 2022-07-14–2023-03-29

description: 14C data based on measurements from a relaxed eddy accumulation (REA) flask sampling system operated at the Hardau II tall tower in Zurich, Switzerland (CH-Har) as part of the ICOS Cities project. This data archive contains a CSV file with all data and metadata recorded for the REA sampling periods (14C_REA_CH-Har.csv), as well as a CSV file containing only CO2 and Delta-14C flask concentrations, derived ffCO2 concentrations, ffCO2 fluxes and quality flags (14C_REA_CH-Har_short.csv). All variables are described in the included XLSX file (14C_REA_variable_description.xlsx). This version, coupled to ICOS Cities deliverable D3.12, contains data that has undergone final quality control of the flask measurements.
DOI: 10.18160/qkyx-axa0
title: REA flux time series archive (L2), Romainville, 2023-07-08–2024-04-15

description: 14C data based on measurements from a relaxed eddy accumulation (REA) flask sampling system operated at the Romainville supersite in Paris, France (FR-Rmv) as part of the ICOS Cities project. This data archive contains a CSV file with all data and metadata recorded for the REA sampling periods (14C_REA_FR-Rmv.csv), as well as a CSV file containing only CO2 and Delta-14C flask concentrations, derived ffCO2 concentrations, ffCO2 fluxes and quality flags (14C_REA_FR-Rmv_short.csv). All variables are described in the included XLSX file (14C_REA_variable_description.xlsx). This version, coupled to ICOS Cities deliverable D3.12, contains data that has undergone final quality control of the flask measurements.