ITINERIS HUB

DATASETS

 

Desert dust profiling product dataset collection, Italy 2015-2021

This dataset provides the dust backscatter and extinction coefficient profiles at 532 nm and their respective errors, obtained at Potenza and Ispra stations, Italy, between the years 2015 and 2021. The dust profiles have been retrieved using ACTRIS/EARLINET Level 2.0 quality assured data and applying the methodology of Tesche et al. (2009; https://doi.org/10.1029/2009JD011862). This methodology uses the particle backscatter coefficient and the particle depolarisation ratio at 532 nm, therefore the present dataset depends on the availability of these products in the ACTRIS/EARLINET database. The errors of the dust backscatter and extinction coefficient were calculated by applying the law of error propagation to the retrieval equations. The four new parameters were added written to the same file as the data used to retrieve them, so each file in the present dataset contains the original ACTRIS/EARLINET data as well.
 
 
How to cite:
National Research Council-Institute Of Methodologies For Environmental Analysis, Mona, L., Mytilinaios, M., & Ripepi, E. (2024). Desert dust profiling product 2015-2021 dataset (Version 2). ITINERIS HUB. https://doi.org/10.71763/CNR-IMAA/ITINERIS/DESERT_DUST_PROFILING_PRODUCT/2015-2021/ALL.
https://doi.org/10.71763/CNR-IMAA/ITINERIS/DESERT_DUST_PROFILING_PRODUCT/2015-2021/ALL
https://commons.datacite.org/doi.org/10.71763/cnr-imaa/itineris/desert_dust_profiling_product/2015-2021/all

Desert dust profiling product over Potenza, Italy 2015-2021 

This dataset provides the dust backscatter and extinction coefficient profiles at 532 nm and their respective errors, obtained at Potenza station, Italy, between the years 2015 and 2021. The dust profiles have been retrieved using ACTRIS/EARLINET Level 2.0 quality assured data and applying the methodology of Tesche et al. (2009; https://doi.org/10.1029/2009JD011862). This methodology uses the particle backscatter coefficient and the particle depolarisation ratio at 532 nm, therefore the present dataset depends on the availability of these products in the ACTRIS/EARLINET database. The errors of the dust backscatter and extinction coefficient were calculated by applying the law of error propagation to the retrieval equations. The four new parameters were added written to the same file as the data used to retrieve them, so each file in the present dataset contains the original ACTRIS/EARLINET data as well.
 
 
How to cite:
National Research Council-Institute Of Methodologies For Environmental Analysis, Mona, L., Mytilinaios, M., De Rosa, B., Trippetta, S., Gumà-Claramunt, P., Di Fiore, G., & Ripepi, E. (2024). Desert dust profiling product over Potenza – Italy, 2015-2021 (Version 2) [Data set]. ITINERIS HUB. https://doi.org/10.71763/CNR-IMAA/ITINERIS/DESERT_DUST_PROFILING_PRODUCT/POT_2015-2021.
 
 
https://commons.datacite.org/doi.org/10.71763/cnr-imaa/itineris/desert_dust_profiling_product/pot_2015-2021

Desert dust profiling product over Ispra, Italy 2015-2021

This dataset provides the dust backscatter and extinction coefficient profiles at 532 nm and their respective errors, obtained at Ispra station, Italy, between the years 2015 and 2021. The dust profiles have been retrieved using ACTRIS/EARLINET Level 2.0 quality assured data and applying the methodology of Tesche et al. (2009; https://doi.org/10.1029/2009JD011862). This methodology uses the particle backscatter coefficient and the particle depolarisation ratio at 532 nm, therefore the present dataset depends on the availability of these products in the ACTRIS/EARLINET database. The errors of the dust backscatter and extinction coefficient were calculated by applying the law of error propagation to the retrieval equations. The four new parameters were added written to the same file as the data used to retrieve them, so each file in the present dataset contains the original ACTRIS/EARLINET data as well.
 
 
How to cite:
National Research Council-Institute Of Methodologies For Environmental Analysis, Mona, L., Mytilinaios, M., De Rosa, B., Trippetta, S., Gumà-Claramunt, P., Di Fiore, G., Ripepi, E., Joint Research Centre, & Putaud, J. P. (2024). Desert dust profiling product over Ispra, Italy 2015-2021 (Version 2) [Data set]. ITINERIS HUB. https://doi.org/10.71763/CNR-IMAA/ITINERIS/DESERT_DUST_PROFILING_PRODUCT/IPR_2015-2021.
https://doi.org/10.71763/CNR-IMAA/ITINERIS/DESERT_DUST_PROFILING_PRODUCT/IPR_2015-2021
https://commons.datacite.org/doi.org/10.71763/cnr-imaa/itineris/desert_dust_profiling_product/ipr_2015-2021

Continuous δ13C-CO2 and δ13C-CH4 measurements in the atmosphere – data gathered at Lamezia Terme (Calabria, Southern Italy) between July and December 2024

This dataset features continuous measurements of δ13C-CO2 and δ13C-CH4 at Lamezia Terme in Calabria, Southern Italy performed between July and December 2024. The measurements are preliminary in nature and have not been subject to calibration procedures due to the temporary absence of a working – and widely accepted – standard in the European network. Manual quality assurance procedures and filters have however been applied to the dataset.
 
 
How to cite:
Calidonna, C. R., D’Amico, F., Ammoscato, I., Malacaria, L., Gulli, D., Lo Feudo, T., Sinopoli, S., De Benedetto, G., Mona, L., Dema, C., & Ripepi, E. (2025). Continuous δ13C-CO2 and δ13C-CH4 measurements in the atmosphere – data gathered at Lamezia Terme (Calabria, Southern Italy) between July and December 2024 (Version 1) [Data set]. ITINERIS HUB. https://doi.org/10.71763/CNR-IMAA/ITINERIS/CNR-ISAC-LT/CARBON_ISOTOPES_LMT_2024
https://doi.org/10.71763/CNR-IMAA/ITINERIS/CNR-ISAC-LT/CARBON_ISOTOPES_LMT_2024
https://commons.datacite.org/doi.org/10.71763/cnr-imaa/itineris/cnr-isac-lt/carbon_isotopes_lmt_2024

Dust event identification product dataset collection over Monte Cimone, Italy 2003-2023

This dataset collection provides the total, fine and coarse particle concentration measured with an optical particle counter at Monte Cimone, Italy, between the years 2003 and 2023. The fine particle concentration is derived from the particle concentration of particles with a diameter lower than 1µm and the coarse particle concentration from particles with a diameter larger than 1µm. Besides that, the dataset contains the PMcoarse concentration, which is the PM concentration calculated from the coarse particle size distribution, and the PM10 concentration. The last column reports a flag whether the respective day was affected by dust transport or not, which was identified using the method presented in Duchi et al., 2016 (10.12952/journal.elementa.000085).
 
 
How to cite:
Vogel, F., Marinoni, A., Putero, D., Mona, L., Ripepi, E., & Volini, M. (2025). Dust event identification product dataset collection over Monte Cimone, Italy 2003-2023 (Version 1) [Data set]. ITINERIS HUB. https://doi.org/10.71763/XDZA-FA77.
https://doi.org/10.71763/xdza-fa77
https://commons.datacite.org/doi.org/10.71763/xdza-fa77

CIAO main upgrade: building up an ACTRIS-compliant aerosol in situ laboratory

This dataset is related to the paper that describes the aerosol in situ laboratory at the CNR-IMAA (Consiglio Nazionale delle Ricerche – Istituto di Metodologie per l’Analisi Ambientale) Atmospheric Observatory (CIAO) in southern Italy, outlining its configuration and detailing each instrument and sampling line.
 
 
How to cite:
Laurita, T., Mona, L., De Rosa, B., Mytilinaios, M., Cardellicchio, F., Trippetta, S., Ripepi, E., & Volini, M. (2025). CIAO main upgrade: building up an ACTRIS-compliant aerosol in situ laboratory (Version 1) [Data set]. National Research Council – Institute of Methodologies for Environmental Analysis. https://doi.org/10.71763/2KZ1-X145.
https://doi.org/10.71763/2kz1-x145
https://commons.datacite.org/doi.org/10.71763/2kz1-x145

Continuous δ13C-CO2 and δ13C-CH4 measurements in the atmosphere – data gathered at Potenza (Basilicata, Southern Italy) in 2025

This dataset features continuous measurements of δ13C-CO2 and δ13C-CH4 at Potenza in Basilicata, Southern Italy performed in 2025. The measurements are preliminary in nature and have not been subject to calibration procedures due to the temporary absence of a working – and widely accepted – standard in the European network. Manual quality assurance procedures and filters have however been applied to the dataset.
 
 
How to cite:
Buono, A., Zaccardo, I., D’Amico, F., Mona, L., Ripepi, E., & Dema, C.. (2025). Continuous δ13C-CO2 and δ13C-CH4 measurements in the atmosphere – data gathered at Potenza (Basilicata, Southern Italy) in 2025 (Version 1) [Data set]. National Research Council – Institute of Methodologies for Environmental Analysis. https://doi.org/10.71763/NV6C-EK15.
https://doi.org/10.71763/nv6c-ek15
https://commons.datacite.org/doi.org/10.71763/10.71763/nv6c-ek15

Wind Lidar data gathered at Lamezia Terme (Calabria, Southern Italy) between July 2013 and December 2024

This dataset features continuous measurements of wind speeds at select altitude thresholds, aggregated on a hourly basis, performed by a ZephIR 300 wind lidar instrument at the Lamezia Terme WMO/GAW site in Calabria, Southern Italy between July 2013 and December 2024.
 
 
How to cite:
Calidonna, C. R., De Benedetto, G., Lo Feudo, T., D’Amico, F., Ammoscato, I., Gulli, D., Malacaria, L., Sinopoli, S., Mona, L., Volini, M., & Ripepi, E. (2025). Wind Lidar data gathered at Lamezia Terme (Calabria, Southern Italy) between July 2013 and December 2024 (Version 1) [Data set]. National Research Council – Institute of Methodologies for Environmental Analysis. https://doi.org/10.71763/6YMH-H168.
https://doi.org/10.71763/6ymh-h168
https://commons.datacite.org/doi.org/10.71763/10.71763/6ymh-h168

Atmospheric Boundary Layer Height (ABLH) from Lidar Observations

The dataset contains ABLH estimations retrieved from lidar observation using MIPA algorithm. Reference ABLHs (retrieved for correlative radiosoundings) and the lidar retrieved attenuated backscatter timeseries used as input for MIPA are provided as well.
 
 
https://doi.org/10.71763/e3k7-rb11
 
How to cite:
D’Amico, G., Arienzo, A., Vivone, G., Amodeo, A., Cardellicchio, F., Gumà-Claramunt, P., De Rosa, B., Di Girolamo, P., Gandolfi, I., Giunta, A., Laurita, T., Marra, F., Mona, L., Mytilinaios, M., Papagiannopoulos, N., Rosoldi, M., & Summa, D. (2025). Atmospheric Boundary Layer Height Estimation from Lidar Observations: Assessment and Validation of MIPA Algorithm. Remote Sensing, 17(16), 2748. https://doi.org/10.3390/rs17162748
D’Amico, G., De Rosa, B., Vivone, G., Arienzo, A., Mona, L., & Ripepi, E. (2025). Atmospheric Boundary Layer Height (ABLH) from Lidar Observations (Version 1) [Data set]. National Research Council – Institute of Methodologies for Environmental Analysis. https://doi.org/10.71763/E3K7-RB11. 

Equivalent black carbon product dataset collection over Monte Cimone, Italy 2007-2024

This dataset collection provides equivalent black carbon mass concentration (eBC) at Monte Cimone, Italy, between the years 2007 and 2024.
eBC is derived from the aerosol absorption coefficient measured at a wavelength of 637 nm with a filter-based absorption photometer (Multi Angle Absorption Photometer, MAAP-5012, Thermo) using a mass absorption cross-section of 10 m2/g (Zanatta et al., 2016; http://dx.doi.org/10.1016/j.atmosenv.2016.09.035).
 
 
https://doi.org/10.71763/itineris-hub/nfy7-yz86
 
How to cite:
Zanatta, M., Marinoni, A., Putero, D., Mona, L., Ripepi, E., & Volini, M. (2025). Equivalent black carbon product dataset collection over Monte Cimone, Italy 2007-2024 (Version 1) [Data set]. ITINERIS-HUB. https://doi.org/10.71763/ITINERIS-HUB/NFY7-YZ86

Multi-site chemical composition and oxidative potential of PM2.5 and PM10 in the Lecce area (Italy)

Chemical composition and oxidative potential measured on monthly samples of PM2.5 and PM10 collected at 22 sites of different typology in the area of Lecce between December 2021 and December 2022. The sites included the Environmental-Climate Observatory (ECO) for intercomparison purposes and quality assurance. Oxidative potential was determined by using the DTT assay. Chemical composition was determined by different techniques: ED-XRF, carbon analyser, ion chromatography, and TOC-TN.
 
Data policy:
 

https://doi.org/10.71763/itineris-hub/mcj7-k732

https://commons.datacite.org/doi.org/10.71763/itineris-hub/mcj7-k732

How to cite:
Contini, D., POTÌ, S., Merico, E., Conte, M., Unga, F., Cesari, D., DINOI, A. D. E. L. A. I. D. E., DE BARTOLOMEO, A. R., Pennetta, A., BLOISE, E., Deluca, G., De Benedetto, G. E., GUASCITO, M. R., Mona, L., & Ripepi, E. (2026). Multi-site chemical composition and oxidative potential of PM2.5 and PM10 in the Lecce area (Italy) (Version 1) [Data set]. ITINERIS-HUB. https://doi.org/10.71763/ITINERIS-HUB/MCJ7-K732

Source apportionment of Black Carbon dataset collection over Monte Cimone, Italy 2020-2024

This dataset collection provides equivalent Black Carbon concentrations at Monte Cimone, Italy, between the years 2020 and 2024. The dataset includes the equivalent Black Carbon concentration at 880 nm measured with an aethalometer model AE33 (Magee Scientific), as well as the corresponding concentrations attributed to traffic and biomass burning emissions. The concentrations attributed to the two sources were quantified by applying the Sandradewi model to aethalometer data as described by Zotter et al. (AAE values used were 1 and 2).
 
Data policy:
 

https://doi.org/10.71763/itineris-hub/n8g3-b954

https://commons.datacite.org/doi.org/10.71763/itineris-hub/n8g3-b954

How to cite:
Renzi, L., Marinoni, A., Mona, L., & Ripepi, E. (2026). Source apportionment of Black Carbon dataset collection over Monte Cimone, Italy 2020-2024 (Version 1) [Data set]. National Research Council – Institute of Methodologies for Environmental Analysis. https://doi.org/10.71763/ITINERIS-HUB/N8G3-B954

Continuous CO2 measurements from geologic samples – data gathered from Cessaniti (Calabria, Southern Italy) Miocene lagoonal clays in 2024 and 2025

This dataset features the results of thirteen experiments aimed at the preliminary assessment of carbon dioxide (CO2) emissions under thermal stress (20-55 °C) from geologic samples, specifically Miocene lagoonal clays gathered at the Cessaniti fossiliferous site in Vibo Valentia, Calabria, Southern Italy (Lat: 38.654 N; Lon: 16.036 E; Elev: ~410 m ASL). The experiments were performed at CNR-ISAC Lamezia Terme’s laboratory between 2024 and 2025, using a Picarro G2401 CRDS analyzer. Temperature was measured using ad hoc built-in sensors. The samples were placed inside a sealed 1.7 L container and subject to continuous nitrogen injection to remove external ambient air during all phases of the experiment. One of the experiments was performed using an empty container to verify the stability and reliability of the experimental setup. No CO (carbon monoxide) and CH4 (methane) were measured during these experiments.
 
Data policy:
 

https://doi.org/10.71763/itineris-hub/nt1h-qf41

https://commons.datacite.org/doi.org/10.71763/itineris-hub/nt1h-qf41

How to cite:
D’Amico, F., Ammoscato, I., Guido, A., Pasquale, S., Rossi, G., & Ripepi, E. (2026). Continuous CO2 measurements from geologic samples – data gathered from Cessaniti (Calabria, Southern Italy) Miocene lagoonal clays in 2024 and 2025 (Version 1) [Data set]. ITINERIS-HUB. https://doi.org/10.71763/ITINERIS-HUB/NT1H-QF41

Atmospheric radon concentrations at Jungfraujoch

The time series represents atmospheric radon concentrations measured every minute at the Jungfraujoch (JFJ) observatory, collected within the Transnational Access program of ITINERIS. The data have been manually checked and cleaned of anomalies and erroneous values, which have been flagged as NaN. There have been anomalies with flow problems and low temperatures that have frozen the inlet.
 
Data policy:
 

https://doi.org/10.71763/itineris-hub/azp8-w781

https://commons.datacite.org/doi.org/10.71763/itineris-hub/azp8-w781

How to cite:
Montaguti, S., Cavaliere, A., Mona, L., & Ripepi, E. (2026). Atmospheric radon concentrations at Jungfraujoch (Version 1) [Data set]. ITINERIS-HUB. https://doi.org/10.71763/ITINERIS-HUB/AZP8-W781

CO2 and CH4 flux measurements from the perimeter of a wetland – data gathered at Trifoglietti in Fagnano Castello (Calabria, Southern Italy) between 2024 and 2026

This dataset reports the results of a measurement campaign at Trifoglietti lake, in the municipality of Fagnano Castello (Calabria, Southern Italy – Lat: 39.5488 °N, Lon: 16.0223 °E, Elev: c.a. 1045 m ASL). Between August 2024 and February 2026, the area was subject to surveys assessing CO2 (carbon dioxide) and CH4 (methane) fluxes over eight transepts around the lake, each with three points: P (peat, 1 m towards the center of the lake); I (interface), and E (external, 1.5 m in the opposite direction). The instrument used for these measurements, manufactured by Thearen Ltd., is described in Apollaro et al. (2025: https://doi.org/10.1016/j.scitotenv.2025.178611).
 
Data policy:
 

https://doi.org/10.71763/itineris-hub/dqh0-3974

https://commons.datacite.org/doi.org/10.71763/itineris-hub/dqh0-3974

How to cite:
D’Amico, F., Russo, L., Scagliola, M., Ciniglia, F., Ammoscato, I., Guido, A., Mona, L., & Ripepi, E. (2026). CO2 and CH4 flux measurements from the perimeter of a wetland – data gathered at Trifoglietti in Fagnano Castello (Calabria, Southern Italy) between 2024 and 2026 (Version 1) [Data set]. ITINERIS-HUB. https://doi.org/10.71763/DQH0-3974

Inter-comparison of absorption measurements from different instruments

The dataset was obtained during an intensive campaign in 2023 performed to inter-compare equivalent black carbon measured with three different instruments and to evaluate the MACX in situ for the same instruments. In addition, additional measurements of chemical composition of PM2.5 and PM10 were collected for interpretation of results.
 
Data policy:
 

https://doi.org/10.71763/itineris-hub/hphv-c628

https://commons.datacite.org/doi.org/10.71763/itineris-hub/hphv-c628

How to cite:
Contini, D., Merico, E., Conte, M., Unga, F., Cesari, D., DINOI, A. D. E. L. A. I. D. E., Pennetta, A., BLOISE, E., Deluca, G., Ciricugno, C. L., Mona, L., & Ripepi, E. (2026). Inter-comparison of absorption measurements from different instruments (Version 1) [Data set]. ITINERIS-HUB. https://doi.org/10.71763/ITINERIS-HUB/HPHV-C628

Hourly size distributions, gaseous pollutants concentrations, equivalent black carbon, and meteological parameters

The dataset was used in ITINERIS for source apportionment based on physical properties. It refers to the priod 2016-2017 and it includes daily PM2.5 and PM10 data, size distributions in the extended range 0.01-10 um coupling data from the SMPS and the OPC; equivalent black carbon; concentrations of gaseous pollutants (O3, SO2, No, NO2, NOx), and meteorological parameters.
 
Data policy:
 

https://doi.org/10.71763/itineris-hub/nfv8-jd95

https://commons.datacite.org/doi.org/10.71763/itineris-hub/nfv8-jd95

How to cite:
Contini, D., Merico, E., Conte, M., Cesari, D., DINOI, A. D. E. L. A. I. D. E., Ciricugno, C. L., Mona, L., & Ripepi, E. (2026). Hourly size distributions, gaseous pollutants concentrations, equivalent black carbon, and meteological parameters (Version 1) [Data set]. ITINERIS-HUB. https://doi.org/10.71763/ITINERIS-HUB/NFV8-JD95

PM2.5, PM10 and size distributions with identification of dust events

Daily PM2.5, PM10 concentrations, and size distributions obtained using a dual channel sampler and an optical particle counter with identification of long-range transport of dust from Africa. Identification was done following the approach reported in Conte et al. (Atmospheric Research 233, 104690, 2020, https://doi.org/10.1016/j.atmosres.2019.104690). Dataset covers the period from 2013 to 2024.
 
Data policy:
 

https://doi.org/10.71763/itineris-hub/7k5q-nd10

https://commons.datacite.org/doi.org/10.71763/itineris-hub/7k5q-nd10

How to cite:
Contini, D., Conte, M., Cesari, D., DINOI, A. D. E. L. A. I. D. E., Mona, L., & Ripepi, E. (2026). PM2.5, PM10 and size distributions with identification of dust events (Version 1) [Data set]. ITINERIS-HUB. https://doi.org/10.71763/ITINERIS-HUB/7K5Q-ND10

Atmospheric Boundary Layer Height (ABLH) from Ceilometer Observations

The dataset contains ABLH estimations retrieved from ceilometer observation using MIPA algorithm. Reference ABLHs (retrieved for correlative radiosoundings) and the ceilometer retrieved attenuated backscatter timeseries used as input for MIPA are provided as well.
 
Data policy:
 

https://doi.org/10.71763/itineris-hub/ezbz-vn10

https://commons.datacite.org/doi.org/10.71763/itineris-hub/ezbz-vn10

How to cite:
D’Amico, G., Vivone, G., Arienzo, A., Mona, L., & Ripepi, E. (2026). Atmospheric Boundary Layer Height (ABLH) from Ceilometer Observations (Version 1) [Data set]. National Research Council – Institute of Methodologies for Environmental Analysis. https://doi.org/10.71763/ITINERIS-HUB/EZBZ-VN10

Open fire campaign in Conflenti (Calabria, Southern Italy) – Results of multiparameter measurements performed in 2025

This dataset features the results of a campaign aimed at the multiparameter detection of potential open fire emissions. A temporary observation site was set up in the hamlet of San Mazzeo within the municipality of Conflenti (Catanzaro province, Calabria, Southern Italy) (Lat: 39.0344 N; Lon: 16.2644 E; Elev: 930 m ASL), to perform continuous measurements of particulate matter (PM1, PM2.5, PM4, PM10), nitrogen oxides (NO, NO2), formaldehyde (HCHO), and black carbon (BC) between July and August 2025. A mast measured key meteorological parameters, specifically wind speed and direction, relative humidity, temperature, and air pressure. All data are aggregated on a hourly basis. For past studies concerning the detection of open fire emissions in the area, performed at the main CNR-ISAC Lamezia Terme (LMT) observation site, refer to Malacaria et al. (2024: https://doi.org/10.3390/fire7060198) and D’Amico et al. (2025: https://doi.org/10.3390/gases5010005).
 
Data policy:
 

https://doi.org/10.71763/itineris-hub/d4kv-z376

https://commons.datacite.org/doi.org/10.71763/itineris-hub/d4kv-z376

How to cite:
Ammoscato, I., Busetto, M., D’Amico, F., Calidonna, C. R., Mona, L., & Ripepi, E. (2026). Open fire campaign in Conflenti (Calabria, Southern Italy) – Results of multiparameter measurements performed in 2025 (Version 1) [Data set]. ITINERIS-HUB. https://doi.org/10.71763/ITINERIS-HUB/D4KV-Z376

Continuous δ13C-CH4 and δ2H-CH4 measurements in the atmosphere – data gathered at Lamezia Terme (Calabria, Southern Italy) in 2025

This dataset features the results of a measurement campaign performed between October 10th 2025 and November 7th 2025 at the CNR-ISAC Lamezia Terme (code: LMT) laboratory (Lat: 38.8774 N; Lon: 16.2364 E; Inlet elev.: 6 m AGL), relying on an extraction system built by Utrecht University, coupled to a DeltaV Isotope ratio mass spectrometer (IRMS). This takes up to 6ml of air and concentrates this cryogenically on HayeSepD, after it is converted to H2 or CO2 for the δ2H or δ13C measurements, respectively. Brass & Röckmann (2010: https://doi.org/10.5194/amt-3-1707-2010) described this system in detail. Application of this system can be found, for example, in van Es et al. (2025: https://doi.org/10.1029/2024JD043015), and comparable datasets can be found on the ICOS Data Portal (https://meta.icos-cp.eu/objects/dl8G9tfEqA6vEdySMXdA9vTa). The IRMS system at LMT measured CH4 (ppm) mole fractions, δ13C-CH4 (‰, VPDB) and δ2H-CH4 (‰, VSMOW). The results of the experimental campaign are aggregated on a hourly basis.
 
Data policy:
 

https://doi.org/10.71763/itineris-hub/z9w2-2245

https://commons.datacite.org/doi.org/10.71763/itineris-hub/z9w2-2245

How to cite:
van der Veen, C., Ammoscato, I., van Es, J., Cover, G., D’Amico, F., Mona, L., & Ripepi, E. (2026). Continuous δ13C-CH4 and δ2H-CH4 measurements in the atmosphere – data gathered at Lamezia Terme (Calabria, Southern Italy) in 2025 (Version 1) [Data set]. ITINERIS-HUB. https://doi.org/10.71763/ITINERIS-HUB/Z9W2-2245