Italian Integrated Environmental Research Infrastructures System
Vegetation Photosynthesis and Respiration Model. Ecosystem Respiration. Year 2016
Biosphere-atmosphere exchange fluxes for CO2 simulated with the Vegetation Photosynthesis and Respiration Model (VPRM). This product is a raster stack containing monthly Ecosystem Respiration (RESP) expressed in Mg. The stack has 12 bands, one per month. Please visit https://www.icos-cp.eu/data-products/biosphere-atmosphere-exchange-fluxes-co2-vegetation-photosynthesis-and-respiration the access the original data. This dataset was produced in the context of the ITINERIS PNRR Italian project - project code No. IR0000032 - ESFRI Environment: Data harmonsation process - Lorenza Nardella & Gaia Vaglio Laurin - Supported by D4Science infrastructure.
Vegetation Photosynthesis and Respiration Model. Ecosystem Respiration. Year 2018
Vegetation Photosynthesis and Respiration Model. Ecosystem Respiration. Year 2013
Pantropical (+/- 38° latitude) AGB map in t/ha derived from year of observations of the NASA's CyGNSS constellation. The AGB has been estimated from the CyGNSS observations by an algorithm based on artificial neural networks (ANN) that has been developed, calibrated and validated at CNR-IFAC. Not forested and urban areas, open water and areas in which the retrieval is not feasible, or a retrieval error has occurred, are all flagged as 'NaN'. The map has a spatial resolution of 5 km, and it has been validated against the Pantropical AGB map by Avitabile et al. 2016. The algorithm has been presented in the J-STARS paper by Santi et al. (2020 - DOI: 10.1109/JSTARS.2020.2982993). Data harmonsation process - Emanuele Santi - Supported by D4Science infrastructure.
Vegetation Photosynthesis and Respiration Model. Ecosystem Respiration. Year 2019
Vegetation Photosynthesis and Respiration Model. Ecosystem Respiration. Year 2021
Vegetation Photosynthesis and Respiration Model. Gross Ecosystem Exchange. Year 2016
Biosphere-atmosphere exchange fluxes for CO2 simulated with the Vegetation Photosynthesis and Respiration Model (VPRM). This product is a raster stack containing monthly Gross Ecosystem Exchange (GEE) expressed in Mg. The stack has 12 bands, one per month. Please visit https://www.icos-cp.eu/data-products/biosphere-atmosphere-exchange-fluxes-co2-vegetation-photosynthesis-and-respiration the access the original data. This dataset was produced in the context of the ITINERIS PNRR Italian project - project code No. IR0000032 - ESFRI Environment: Data harmonsation process - Lorenza Nardella & Gaia Vaglio Laurin - Supported by D4Science infrastructure.
Vegetation Photosynthesis and Respiration Model. Net Ecosystem Exchange. Year 2021
Biosphere-atmosphere exchange fluxes for CO2 simulated with the Vegetation Photosynthesis and Respiration Model (VPRM). This product is a raster stack containing monthly Net Ecosystem Exchange (NEE) expressed in Mg. The stack has 12 bands, one per month. Please visit https://www.icos-cp.eu/data-products/biosphere-atmosphere-exchange-fluxes-co2-vegetation-photosynthesis-and-respiration the access the original data. This dataset was produced in the context of the ITINERIS PNRR Italian project - project code No. IR0000032 - ESFRI Environment: Data harmonsation process - Lorenza Nardella & Gaia Vaglio Laurin - Supported by D4Science infrastructure.
Vegetation Photosynthesis and Respiration Model. Net Ecosystem Exchange. Year 2016
Vegetation Photosynthesis and Respiration Model. Ecosystem Respiration. Year 2008
Vegetation Photosynthesis and Respiration Model. Ecosystem Respiration. Year 2014
Vegetation Photosynthesis and Respiration Model. Ecosystem Respiration. Year 2009
Vegetation Photosynthesis and Respiration Model. Ecosystem Respiration. Year 2010
AGB_trento_ALOS_S2 is an aboveground biomass (AGB) map (spatial resolution 14 m) produced for a site in the European Alpine Space (Trento), in a mountain range located in the Trentino-Alto-Adige region in Northern Italy. The map was produced through ipmplementation of regression models integrating field and remote sensing data satellite data. Field data included 34 field AGB plots. Satellite data included ALOS (September 18th 2018), and Copernicus Sentinel-1 (September 4th 2018) and Sentinel-2 (June-October 2015-2018) data. The map was produced and first published in the journal article "Estimated Biomass Loss Caused by the Vaia Windthrow in Northern Italy: Evaluation of Active and Passive Remote Sensing Options" (https://doi.org/10.3390/rs13234924) by Vaglio Laurin et al., (2021), in the context of a study aimed at estimating the amount of AGB prior to the occurrence of the Vaia storm, which hit Northern Italy in the fall of 2018, and comparing these with estimates coming from other pre-existing products. For further information the reader is advised to the original publication. Data harmonsation process - Gaia Vaglio Laurin - Supported by D4Science infrastructure.
Vegetation Photosynthesis and Respiration Model. Ecosystem Respiration. Year 2012
Use this template to describe a static map (eg. PDF or image) or an interactive map (eg. WMC).
Number of species cumulative mammals - Remote Future/RCP8.5
Biodiversity Indexes, species richness cumulative of mammals Unit: number of species. Original data authority: 'Institute of Information Science and Technologies - National Research Council (ISTI-CNR)'. Original data coverage: 'Massaciuccoli lake basin'. Original data resolution: 0.00045045 deg. Years taken from the original data: 1950, 1980-1999, 2016, 2050, 2100. Original time-resolution: yearly and 20-yearly average. Original data FAIRness score: 11. Standard CF name of the group this variable belongs to: biodiversity. This dataset was produced in the context of the ITINERIS PNRR Italian project - project code No. IR0000032 - ESFRI Environment: Data harmonsation process - Gian Luca Vannini - PhD Thesis UniPi - Supervisors Prof. G. Brunori, Dott. G. Coro - Supported by D4Science infrastructure. All the Massaciuccoli data can be downloaded from Zenodo at https://zenodo.org/records/11236772
Institute of Information Science and Technologies - National Research Council ISTI-CNR
Number of species cumulative birds - Remote Future/RCP4.5
Biodiversity Indexes, species richness cumulative of birds Unit: number of species. Original data authority: 'Institute of Information Science and Technologies - National Research Council (ISTI-CNR)'. Original data coverage: 'Massaciuccoli lake basin'. Original data resolution: 0.00045045 deg. Years taken from the original data: 1950, 1980-1999, 2016, 2050, 2100. Original time-resolution: yearly and 20-yearly average. Original data FAIRness score: 11. Standard CF name of the group this variable belongs to: biodiversity. This dataset was produced in the context of the ITINERIS PNRR Italian project - project code No. IR0000032 - ESFRI Environment: Data harmonsation process - Gian Luca Vannini - PhD Thesis UniPi - Supervisors Prof. G. Brunori, Dott. G. Coro - Supported by D4Science infrastructure. All the Massaciuccoli data can be downloaded from Zenodo at https://zenodo.org/records/11236772
Land imperviousness density classified change - Present
Provides the degree of imperviousness change in the most relevant categories of sealing change (unchanged no sealing, new cover, loss of cover, unchanged sealed, increased sealing, decreased sealing) between the 2006-2009, 2009-2012, 2012-2015, 2015-2018, 2006-2012 Imperviousness Density status layers. Unit: Class. Original data authority: 'Copernicus Land Monitoring Service (CLMS)'. Original data coverage: 'Europe'. Original data resolution: 0.00018018 deg. Years taken from the original data: 2006-2009, 2009-2012, 2012-2015, 2015-2018, 2006-2012. Original time-resolution: 3-yearly. Original data FAIRness score: 14.5. Standard CF name of the group this variable belongs to: soil_parameters. This dataset was produced in the context of the ITINERIS PNRR Italian project - project code No. IR0000032 - ESFRI Environment: Data harmonsation process - Gian Luca Vannini - PhD Thesis UniPi - Supervisors Prof. G. Brunori, Dott. G. Coro - Supported by D4Science infrastructure. All the Massaciuccoli data can be downloaded from Zenodo at https://zenodo.org/records/11236772
Copernicus Land Monitoring Service CLMS
Average annual temperatures Unit: °C. Original data authority: 'Institute of Information Science and Technologies - National Research Council (ISTI-CNR)'. Original data coverage: 'Massaciuccoli lake basin'. Original data resolution: 0.00045045 deg. Years taken from the original data: 1950, 1980-1999, 2016, 2050, 2100. Original time-resolution: yearly and 20-yearly average. Original data FAIRness score: 11. Standard CF name of the group this variable belongs to: climatic_parameters. This dataset was produced in the context of the ITINERIS PNRR Italian project - project code No. IR0000032 - ESFRI Environment: Data harmonsation process - Gian Luca Vannini - PhD Thesis UniPi - Supervisors Prof. G. Brunori, Dott. G. Coro - Supported by D4Science infrastructure. All the Massaciuccoli data can be downloaded from Zenodo at https://zenodo.org/records/11236772
Precipitation cumulative - Remote Future/RCP8.5
Annual cumulative precipitation Unit: mm. Original data authority: 'Institute of Information Science and Technologies - National Research Council (ISTI-CNR)'. Original data coverage: 'Massaciuccoli lake basin'. Original data resolution: 0.00045045 deg. Years taken from the original data: 1950, 1980-1999, 2016, 2050, 2100. Original time-resolution: yearly and 20-yearly average. Original data FAIRness score: 11. Standard CF name of the group this variable belongs to: climatic_parameters. This dataset was produced in the context of the ITINERIS PNRR Italian project - project code No. IR0000032 - ESFRI Environment: Data harmonsation process - Gian Luca Vannini - PhD Thesis UniPi - Supervisors Prof. G. Brunori, Dott. G. Coro - Supported by D4Science infrastructure. All the Massaciuccoli data can be downloaded from Zenodo at https://zenodo.org/records/11236772
Number of species cumulative all - Near Future/RCP4.5
Biodiversity Indexes, species richness cumulative of: birds, fishes and crustaceans, insects and clams, mammals, reptiles and amphibians, and others. Unit: number of species. Original data authority: 'Institute of Information Science and Technologies - National Research Council (ISTI-CNR)'. Original data coverage: 'Massaciuccoli lake basin'. Original data resolution: 0.00045045 deg. Years taken from the original data: 1950, 1980-1999, 2016, 2050, 2100. Original time-resolution: yearly and 20-yearly average. Original data FAIRness score: 11. Standard CF name of the group this variable belongs to: biodiversity. This dataset was produced in the context of the ITINERIS PNRR Italian project - project code No. IR0000032 - ESFRI Environment: Data harmonsation process - Gian Luca Vannini - PhD Thesis UniPi - Supervisors Prof. G. Brunori, Dott. G. Coro - Supported by D4Science infrastructure. All the Massaciuccoli data can be downloaded from Zenodo at https://zenodo.org/records/11236772
Land use and cover riparian zones - Recent past
Provides detailed land cover and land use information for 55 thematic classes in a variable buffer zone of selected rivers across Europe for the 2012, 2018 reference years. The dataset has a Minimum Mapping Unit (MMU) of 0.5 ha and a Minimum Mapping Width (MMW) of 10 m and is available as vector data. Unit: Class. Original data authority: 'Copernicus Land Monitoring Service (CLMS)'. Original data coverage: 'Europe'. Original data resolution: 9.01E-05 deg. Years taken from the original data: 2012, 2018. Original time-resolution: 6-yearly. Original data FAIRness score: 14.5. Standard CF name of the group this variable belongs to: land_use_and_cover. This dataset was produced in the context of the ITINERIS PNRR Italian project - project code No. IR0000032 - ESFRI Environment: Data harmonsation process - Gian Luca Vannini - PhD Thesis UniPi - Supervisors Prof. G. Brunori, Dott. G. Coro - Supported by D4Science infrastructure. All the Massaciuccoli data can be downloaded from Zenodo at https://zenodo.org/records/11236772
Precipitation cumulative relative change - Near Future/RCP2.6
Precipitation - The water falling as rain, snow, sleet, or hail per unit area during a given time period. Values are given as the relative change from the reference period (1971-2010). Unit: %. Original data authority: 'Copernicus Climate Change Service (CCCS)'. Original data coverage: 'Europe'. Original data resolution: 0.045045045 deg. Years taken from the original data: 2011-2095. Original time-resolution: 30-yearly (1-yearly/monthly). Original data FAIRness score: 14.5. Standard CF name of the group this variable belongs to: climatic_parameters. This dataset was produced in the context of the ITINERIS PNRR Italian project - project code No. IR0000032 - ESFRI Environment: Data harmonsation process - Gian Luca Vannini - PhD Thesis UniPi - Supervisors Prof. G. Brunori, Dott. G. Coro - Supported by D4Science infrastructure. All the Massaciuccoli data can be downloaded from Zenodo at https://zenodo.org/records/11236772
Land use and cover nature 2000 - Recent past
Provides detailed land cover and land use information for 55 thematic classes in selected Natura2000 sites for the 2006, 2012, 2018 reference years. The dataset has a Minimum Mapping Unit (MMU) of 0.5 ha and a Minimum Mapping Width (MMW) of 10 m and is available as vector data. Unit: Class. Original data authority: 'Copernicus Land Monitoring Service (CLMS)'. Original data coverage: 'Europe'. Original data resolution: 9.01E-05 deg. Years taken from the original data: 2006, 2012, 2018. Original time-resolution: 6-yearly. Original data FAIRness score: 14.5. Standard CF name of the group this variable belongs to: land_use_and_cover. This dataset was produced in the context of the ITINERIS PNRR Italian project - project code No. IR0000032 - ESFRI Environment: Data harmonsation process - Gian Luca Vannini - PhD Thesis UniPi - Supervisors Prof. G. Brunori, Dott. G. Coro - Supported by D4Science infrastructure. All the Massaciuccoli data can be downloaded from Zenodo at https://zenodo.org/records/11236772
Precipitation cumulative relative change - Near Future/RCP8.5
Number of species cumulative birds - Remote Future/RCP8.5
Pebbles and stones in the surface (%) Unit: % (in classes). Original data authority: 'Regione Toscana'. Original data coverage: 'Tuscany whole region'. Original data resolution: 4.50E-06 deg. Years taken from the original data: 2017. Original time-resolution: 1-yearly. Original data FAIRness score: 9. Standard CF name of the group this variable belongs to: soil_parameters. This dataset was produced in the context of the ITINERIS PNRR Italian project - project code No. IR0000032 - ESFRI Environment: Data harmonsation process - Gian Luca Vannini - PhD Thesis UniPi - Supervisors Prof. G. Brunori, Dott. G. Coro - Supported by D4Science infrastructure. All the Massaciuccoli data can be downloaded from Zenodo at https://zenodo.org/records/11236772
Plant phenology index season minimum value - Present
Provides the average Plant Phenology Index value of the minima before the growing season. The data at pan-European level are updated in the first quarter of each year. The data are available at 10 m x 10 m spatial resolution with the temporal extent from 2017 to present. Unit: Month/year. Original data authority: 'Copernicus Land Monitoring Service (CLMS)'. Original data coverage: 'Europe'. Original data resolution: 9.01E-05 deg. Years taken from the original data: 2017-Present. Original time-resolution: 2 season/yearly. Original data FAIRness score: 14.5. Standard CF name of the group this variable belongs to: vegetative_season. This dataset was produced in the context of the ITINERIS PNRR Italian project - project code No. IR0000032 - ESFRI Environment: Data harmonsation process - Gian Luca Vannini - PhD Thesis UniPi - Supervisors Prof. G. Brunori, Dott. G. Coro - Supported by D4Science infrastructure. All the Massaciuccoli data can be downloaded from Zenodo at https://zenodo.org/records/11236772
Number of species cumulative birds - Remote past
Number of species cumulative all - Remote Future/RCP8.5
Number of species cumulative mammals - Recent past
This dataset presents georeferenced measurements collected along altitudinal profiles and derives from the union of the accumulation chambers data from the Forni, Lauson and Lavassey Glacier forelands - metadata uuid: # Forni: 40fa9ee6-1f2e-47a7-9eb3-d85dc33211b2 # Lauson: bcab5bb2-91d3-4aa2-85c3-eb7230dfe56d # Lavassey: 76fe0f43-3d7e-4e14-877e-f8f79cc16d25 The dataset includes the Net Ecosystem Exchange (NEE), Ecosystem Respiration (ER) and meteo-climatic variables, i.e. air and soil temperature, air relative humidity, soil volumetric water content, atmospheric pressure and solar irradiance. The measurements were conducted during the summer season in 2023, at seven different sites along an altitudinal profile. Field campaigns has been conducted in the framework of the Project IR0000032 - ITINERIS - Italian Integrated Environmental Research Infrastructures System (D.D. n. 130/2022 - CUP B53C22002150006), funded by EU - Next Generation EU Mission 4 "Education and Research" - Component 2: "From research to business" - Investment 3.1: "Fund for the realisation of an integrated system of research and innovation infrastructures".
Number of species cumulative reptiles amphibians - Remote Future/RCP4.5
Biodiversity Indexes, species richness cumulative of reptiles and amphibians Unit: number of species. Original data authority: 'Institute of Information Science and Technologies - National Research Council (ISTI-CNR)'. Original data coverage: 'Massaciuccoli lake basin'. Original data resolution: 0.00045045 deg. Years taken from the original data: 1950, 1980-1999, 2016, 2050, 2100. Original time-resolution: yearly and 20-yearly average. Original data FAIRness score: 11. Standard CF name of the group this variable belongs to: biodiversity. This dataset was produced in the context of the ITINERIS PNRR Italian project - project code No. IR0000032 - ESFRI Environment: Data harmonsation process - Gian Luca Vannini - PhD Thesis UniPi - Supervisors Prof. G. Brunori, Dott. G. Coro - Supported by D4Science infrastructure. All the Massaciuccoli data can be downloaded from Zenodo at https://zenodo.org/records/11236772
Number of species cumulative others - Present
Biodiversity Indexes, species richness cumulative of others. Unit: number of species. Original data authority: 'Institute of Information Science and Technologies - National Research Council (ISTI-CNR)'. Original data coverage: 'Massaciuccoli lake basin'. Original data resolution: 0.00045045 deg. Years taken from the original data: 1950, 1980-1999, 2016, 2050, 2100. Original time-resolution: yearly and 20-yearly average. Original data FAIRness score: 11. Standard CF name of the group this variable belongs to: biodiversity. This dataset was produced in the context of the ITINERIS PNRR Italian project - project code No. IR0000032 - ESFRI Environment: Data harmonsation process - Gian Luca Vannini - PhD Thesis UniPi - Supervisors Prof. G. Brunori, Dott. G. Coro - Supported by D4Science infrastructure. All the Massaciuccoli data can be downloaded from Zenodo at https://zenodo.org/records/11236772
Soil infiltration potential - Recent past
Soil infiltration potential Unit: Class. Original data authority: 'Autorità di Bacino Appenino Settentrionale'. Original data coverage: 'Massaciuccoli lake basin'. Original data resolution: 4.50E-06 deg. Years taken from the original data: 2006. Original time-resolution: 1-yearly. Original data FAIRness score: 6.5. Standard CF name of the group this variable belongs to: soil_parameters. This dataset was produced in the context of the ITINERIS PNRR Italian project - project code No. IR0000032 - ESFRI Environment: Data harmonsation process - Gian Luca Vannini - PhD Thesis UniPi - Supervisors Prof. G. Brunori, Dott. G. Coro - Supported by D4Science infrastructure. All the Massaciuccoli data can be downloaded from Zenodo at https://zenodo.org/records/11236772
Autorit di Bacino Appenino Settentrionale
Rockiness (%) Unit: % (in classes). Original data authority: 'Regione Toscana'. Original data coverage: 'Tuscany whole region'. Original data resolution: 4.50E-06 deg. Years taken from the original data: 2017. Original time-resolution: 1-yearly. Original data FAIRness score: 9. Standard CF name of the group this variable belongs to: soil_parameters. This dataset was produced in the context of the ITINERIS PNRR Italian project - project code No. IR0000032 - ESFRI Environment: Data harmonsation process - Gian Luca Vannini - PhD Thesis UniPi - Supervisors Prof. G. Brunori, Dott. G. Coro - Supported by D4Science infrastructure. All the Massaciuccoli data can be downloaded from Zenodo at https://zenodo.org/records/11236772
Temperatures average - Near Future/RCP4.5
Electrical conductivity groundwater - Recent past
Electrical conductivity of groundwater Unit: S cm -1. Original data authority: 'Institute of Information Science and Technologies - National Research Council (ISTI-CNR)'. Original data coverage: 'Massaciuccoli lake basin'. Original data resolution: 0.00045045 deg. Years taken from the original data: 2006. Original time-resolution: 1-yearly. Original data FAIRness score: 11. Standard CF name of the group this variable belongs to: soil_parameters. This dataset was produced in the context of the ITINERIS PNRR Italian project - project code No. IR0000032 - ESFRI Environment: Data harmonsation process - Gian Luca Vannini - PhD Thesis UniPi - Supervisors Prof. G. Brunori, Dott. G. Coro - Supported by D4Science infrastructure. All the Massaciuccoli data can be downloaded from Zenodo at https://zenodo.org/records/11236772
Potential evapotranspiration relative change - Near Future/RCP2.6
Potential evapotranspiration - The amount of evaporation that would occur if a sufficient water source were available. Values are given as the relative change from the reference period (1971-2010). Unit: %. Original data authority: 'Copernicus Climate Change Service (CCCS)'. Original data coverage: 'Europe'. Original data resolution: 0.045045045 deg. Years taken from the original data: 2011-2095. Original time-resolution: 30-yearly (1-yearly/monthly). Original data FAIRness score: 14.5. Standard CF name of the group this variable belongs to: climatic_parameters. This dataset was produced in the context of the ITINERIS PNRR Italian project - project code No. IR0000032 - ESFRI Environment: Data harmonsation process - Gian Luca Vannini - PhD Thesis UniPi - Supervisors Prof. G. Brunori, Dott. G. Coro - Supported by D4Science infrastructure. All the Massaciuccoli data can be downloaded from Zenodo at https://zenodo.org/records/11236772
Critical Zone Observatory in Pianosa Island: meteorological data (01/01/2024-31/12/2024)
This dataset presents meteorological data collected by the meteorological station installed with the non steady state closed dynamic accumulation chambers. The dataset includes rain gauge, wind direction, air humidity and atmospheric pressure. The measurements were conducted at an elevation of approximately 2 meters a.s.l. The data was collected thanks to EU - Next Generation EU Mission 4 "Education and Research - Component 2: "From research to business" - Investment 3.1: "Fund for the realisation of an integrated system of research and innovation infrastructures" - Project IR0000032 - ITINERIS - Italian Integrated Environmental Research Infrastructures System - CUP B53C22002150006. Citation Costanza, L., Raco, B., Berton, A., Trifiro', S., Cini, D., De Vita, A., Norelli, F., & Provenzale, A. (2026). Critical Zone Observatory in Pianosa Island: meteorological data (01/01/2024-31/12/2024) (Versione V2) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.18299100
CNR-IGG eddy covariance facility at the Arctic CZO
Data refers to the CNR-IGG eddy covariance (EC) facility at the Arctic CZO (Critical Zone Observatory, hereafter CZO@Bayelva in Ny Alesund). Data have been collected since 2019, all year long, with some interruptions due to ordinary or factory maintenance. The EC tower was installed to study CO2, H20, latent and sensible heat exchanges between soil, vegetation, and atmosphere. Carbon dioxide fluxes and environmental variables are recorded to estimate changes in carbon storage and explore CO2 fluxes drivers in the Arctic tundra. Measured parameters: Net vertical turbulent CO2 flux (umol+1s-1m-2); air temperature (deg_C), air relative humidity (%), wind speed (m+1s-1), max wind speed (m+1s-1), wind direction (deg_from_north). Method: The EC station respects both sensors and data processing standards defined by the ICOS community even if it is not an ICOS-associated station. Flux processing software: EddyPro set to default processing settings. The output variables have a 30-minutes resolution. The parameters available here are obtained by aggregating over a 3-hours time span. The associated measurement time (column B in the uploaded file) indicates the beginning of the 3-hour averaging period (es. Time T= [Time T; Time T+2h30 min]). Instrumentation: 3-Dimensional Sonic Anemometer (Manufacturer: Gill HS-50, s.n.: H183304, Firmware: 3.01, Instrument height: (info in the yearly metadata), North alignment: SPAR, North offset: (info in the yearly metadata), Wind data format: u, v, w); Enclosed path CO2/H2O Gas Analyzer (Licor Li7200RS, s.n.: 72H-0888, Firmware: (info in the yearly metadata), Tube length: 105.8 cm, Tube diameter: 5.33 mm, Northward separation: (info in the yearly metadata), Eastward separation: (info in the yearly metadata), Vertical separation: (info in the yearly metadata)). Quality assurance: Mauder and Foken (2004) flagging policy (0-1-2 system). Here, only high-quality data are reported (qc=0). The CNR-IGG Researchers took the photo of the eddy covariance during the field campaign.
R script for Accumulation chambers data from glacier forelands
Routine to visualizing CO2 fluxes and environmental variables from glacier foreland. The routine was developed in R language in order to be compliant with FAIR and Open Science principles, in the framework of the Project IR0000032 - ITINERIS - Italian Integrated Environmental Research Infrastructures System (D.D. n. 130/2022 - CUP B53C22002150006), funded by EU - Next Generation EU Mission 4 "Education and Research" - Component 2: "From research to business" - Investment 3.1: "Fund for the realisation of an integrated system of research and innovation infrastructures".
Number of species cumulative others - Recent past
R Script for non-linear models of ER and GPP
Routine to build a model of carbon dioxide (CO2) fluxes measured using the flux chamber method in the high-altitude Alpine grassland, using as "native" codes those previously published and developed in Matlab language (Magnani et al., 2020; Magnani & Lenzi, 2024). Matlab routines were developed in R language in order to be compliant with FAIR and Open Science principles, in the framework of the Project IR0000032 - ITINERIS - Italian Integrated Environmental Research Infrastructures System (D.D. n. 130/2022 - CUP B53C22002150006), funded by EU - Next Generation EU Mission 4 "Education and Research" - Component 2: "From research to business" - Investment 3.1: "Fund for the realisation of an integrated system of research and innovation infrastructures". References - Magnani, M., Baneschi, I., Giamberini, M., Mosca, P., Raco, B., & Provenzale, A., 2020. Drivers of carbon fluxes in Alpine tundra: a comparison of three empirical model approaches. Science of The Total Environment, 732, 139139. https://doi.org/10.1016/j.scitotenv.2020.139139 - Magnani, M. & Lenzi, S., 2024. Codes for building and comparing multi regression models of carbon dioxide fluxes in the Alpine grasslands at Nivolet Plain, Gran Paradiso National Park (IGG-CNR-CZO@NIVOLET) (2.0). Zenodo. https://doi.org/10.5281/zenodo.12622506
Landslides (% of area affected by landslides) Unit: % (in classes). Original data authority: 'Regione Toscana'. Original data coverage: 'Tuscany whole region'. Original data resolution: 4.50E-06 deg. Years taken from the original data: 2017. Original time-resolution: 1-yearly. Original data FAIRness score: 9. Standard CF name of the group this variable belongs to: soil_parameters. This dataset was produced in the context of the ITINERIS PNRR Italian project - project code No. IR0000032 - ESFRI Environment: Data harmonsation process - Gian Luca Vannini - PhD Thesis UniPi - Supervisors Prof. G. Brunori, Dott. G. Coro - Supported by D4Science infrastructure. All the Massaciuccoli data can be downloaded from Zenodo at https://zenodo.org/records/11236772
Provides information on changes in grassland vegetation cover between the 2015-2018 reference years. Unit: Class. Original data authority: 'Copernicus Land Monitoring Service (CLMS)'. Original data coverage: 'Europe'. Original data resolution: 0.00018018 deg. Years taken from the original data: 2015-2018. Original time-resolution: 3-yearly. Original data FAIRness score: 14.5. Standard CF name of the group this variable belongs to: land_use_and_cover. This dataset was produced in the context of the ITINERIS PNRR Italian project - project code No. IR0000032 - ESFRI Environment: Data harmonsation process - Gian Luca Vannini - PhD Thesis UniPi - Supervisors Prof. G. Brunori, Dott. G. Coro - Supported by D4Science infrastructure. All the Massaciuccoli data can be downloaded from Zenodo at https://zenodo.org/records/11236772
Plant phenology index season maximum value - Present
Provides the maximum (peak) value that the Plant Phenology Index reaches during the vegetation growing season. The data at pan-European level are updated in the first quarter of each year. Unit: %. Original data authority: 'Copernicus Land Monitoring Service (CLMS)'. Original data coverage: 'Europe'. Original data resolution: 9.01E-05 deg. Years taken from the original data: 2017-Present. Original time-resolution: 2 season/yearly. Original data FAIRness score: 14.5. Standard CF name of the group this variable belongs to: vegetation_index. This dataset was produced in the context of the ITINERIS PNRR Italian project - project code No. IR0000032 - ESFRI Environment: Data harmonsation process - Gian Luca Vannini - PhD Thesis UniPi - Supervisors Prof. G. Brunori, Dott. G. Coro - Supported by D4Science infrastructure. All the Massaciuccoli data can be downloaded from Zenodo at https://zenodo.org/records/11236772
Digital terrain model orographic - Recent past
Digital terrain trend reconstruction obtained from CTR10K. The dataset has a homogeneous cell structure of 10 m². The dataset is defined as "orographic" in that it shows the terrain conformation to the best of the precision allowed by the data used for its derivation: the contour lines and elevated points of the 1:10,000 Regional Technical Map. Unit: m. Original data authority: 'Regione Toscana'. Original data coverage: 'Tuscany whole region'. Original data resolution: 9.01E-05 deg. Years taken from the original data: 1993-1998. Original time-resolution: 1-yearly. Original data FAIRness score: 9. Standard CF name of the group this variable belongs to: morphology. This dataset was produced in the context of the ITINERIS PNRR Italian project - project code No. IR0000032 - ESFRI Environment: Data harmonsation process - Gian Luca Vannini - PhD Thesis UniPi - Supervisors Prof. G. Brunori, Dott. G. Coro - Supported by D4Science infrastructure. All the Massaciuccoli data can be downloaded from Zenodo at https://zenodo.org/records/11236772
This dataset presents georeferenced measurements derived from data collected in the Levionaz Valley in the Gran Paradiso National Park (GPNP, western Italian Alps). The dataset includes the Net Ecosystem Exchange (NEE), Ecosystem Respiration (ER) and meteo-climatic variables, i.e. air and soil temperature, air relative humidity, soil volumetric water content, atmospheric pressure and solar irradiance. The measurements were conducted during the summer season in 2022, 2023, 2024 and 2025 (19/07/2022-21/08/2025). Citation Gorian, S.B., Baronetti, A., Marta, S., Gennaro, S., Mainetti, A., Magnani, M., Krupinski, M., Wozniak, E., Provenzale, A., Vivaldo, G. (09/02/2026 - Submitted). CO2 fluxes responses to water availability in an alpine grassland of the Grand Paradiso National Park (Italy). Ecosphere. Field campaigns has been conducted also in the framework of the Project IR0000032 - ITINERIS - Italian Integrated Environmental Research Infrastructures System (D.D. n. 130/2022 - CUP B53C22002150006), funded by EU - Next Generation EU Mission 4 "Education and Research" - Component 2: "From research to business" - Investment 3.1: "Fund for the realisation of an integrated system of research and innovation infrastructures".
Flood risk with return time of less than 30 years - Present
Flood risk with return time of less than 30 years Unit: classes. Original data authority: 'Regione Toscana'. Original data coverage: 'Tuscany whole region'. Original data resolution: 4.50E-06 deg. Years taken from the original data: 2017. Original time-resolution: 1-yearly. Original data FAIRness score: 9. Standard CF name of the group this variable belongs to: soil_parameters. This dataset was produced in the context of the ITINERIS PNRR Italian project - project code No. IR0000032 - ESFRI Environment: Data harmonsation process - Gian Luca Vannini - PhD Thesis UniPi - Supervisors Prof. G. Brunori, Dott. G. Coro - Supported by D4Science infrastructure. All the Massaciuccoli data can be downloaded from Zenodo at https://zenodo.org/records/11236772
Temperature average absolute change - Remote Future/RCP8.5
Air temperature - The temperature of the air at approximately 2m above the surface. Values are given as the absolute change from the reference period (1971-2010). Unit: °C. Original data authority: 'Copernicus Climate Change Service (CCCS)'. Original data coverage: 'Europe'. Original data resolution: 0.045045045 deg. Years taken from the original data: 2011-2095. Original time-resolution: 30-yearly (1-yearly/monthly). Original data FAIRness score: 14.5. Standard CF name of the group this variable belongs to: climatic_parameters. This dataset was produced in the context of the ITINERIS PNRR Italian project - project code No. IR0000032 - ESFRI Environment: Data harmonsation process - Gian Luca Vannini - PhD Thesis UniPi - Supervisors Prof. G. Brunori, Dott. G. Coro - Supported by D4Science infrastructure. All the Massaciuccoli data can be downloaded from Zenodo at https://zenodo.org/records/11236772
Evapotranspiration cumulative - Recent past
Annual cumulative evapotranspiration Unit: mm. Original data authority: 'Institute of Information Science and Technologies - National Research Council (ISTI-CNR)'. Original data coverage: 'Massaciuccoli lake basin'. Original data resolution: 0.00045045 deg. Years taken from the original data: 2006. Original time-resolution: 1-yearly. Original data FAIRness score: 11. Standard CF name of the group this variable belongs to: climatic_parameters. This dataset was produced in the context of the ITINERIS PNRR Italian project - project code No. IR0000032 - ESFRI Environment: Data harmonsation process - Gian Luca Vannini - PhD Thesis UniPi - Supervisors Prof. G. Brunori, Dott. G. Coro - Supported by D4Science infrastructure. All the Massaciuccoli data can be downloaded from Zenodo at https://zenodo.org/records/11236772
Critical Zone Observatory in Pianosa Island: meteorological data (27/03/2023-03/04/2024)
This dataset presents meteorological data collected by the meteorological station installed with the non steady state closed dynamic accumulation chambers. The dataset includes rain gauge, wind direction, air humidity and atmospheric pressure. The measurements were conducted at an elevation of approximately 2 meters a.s.l. The data was collected thanks to EU - Next Generation EU Mission 4 "Education and Research - Component 2: "From research to business" - Investment 3.1: "Fund for the realisation of an integrated system of research and innovation infrastructures" - Project IR0000032 - ITINERIS - Italian Integrated Environmental Research Infrastructures System - CUP B53C22002150006. Citation Costanza, L., Raco, B., BERTON, A., Trifiro', S., Cini, D., De Vita, A., & Provenzale, A. (2025). Critical Zone Observatory in Pianosa Island: meteorological data (27/03/2023-03/04/2024) (Versione V1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.14679129
Annual cumulative water surplus Unit: mm. Original data authority: 'Institute of Information Science and Technologies - National Research Council (ISTI-CNR)'. Original data coverage: 'Massaciuccoli lake basin'. Original data resolution: 0.00045045 deg. Years taken from the original data: 2006. Original time-resolution: 1-yearly. Original data FAIRness score: 11. Standard CF name of the group this variable belongs to: climatic_parameters. This dataset was produced in the context of the ITINERIS PNRR Italian project - project code No. IR0000032 - ESFRI Environment: Data harmonsation process - Gian Luca Vannini - PhD Thesis UniPi - Supervisors Prof. G. Brunori, Dott. G. Coro - Supported by D4Science infrastructure. All the Massaciuccoli data can be downloaded from Zenodo at https://zenodo.org/records/11236772
Potential evapotranspiration relative change - Remote Future/RCP2.6
Temperature average absolute change - Present
Critical Zone Observatory in Pianosa Island: Accumulation chambers n.3 and n.4 (27/03/2023-03/04/2024)
The installed instrumentation allows CO2 flux measurements from soil (emission and absorption/uptake) by non steady state closed dynamic accumulation Chambers. The aim is to understand if the NEE (Net Ecosystem Exchange) is increasing or decreasing and which parameters most affect this important index. More over, the NEE parameter is extremely useful in climate models. In particular chamber n.3 is a dark chamber and measures the ecosystem respiration while chamber n.4 is a transparent chamber and measures the NEE. The difference between the flux measured by chamber n.4 and that measured by chamber n.3 allows to calculate the GPP (Gross Primary Production). The dataset includes the Net Ecosystem Exchange (NEE), Ecosystem Respiration (ER), air temperature and atmospheric pressure inside the chamber, soil temperature and soil humidity next to the chamber. It is also available the R2 of the regression line of the CO2 concentration versus time, of each chamber. The data was collected thanks to EU - Next Generation EU Mission 4 "Education and Research - Component 2: "From research to business" - Investment 3.1: "Fund for the realisation of an integrated system of research and innovation infrastructures" - Project IR0000032 - ITINERIS - Italian Integrated Environmental Research Infrastructures System - CUP B53C22002150006. Citation Costanza, L., Raco, B., BERTON, A., Trifiro', S., Cini, D., De Vita, A., & Provenzale, A. (2025). Critical Zone Observatory in Pianosa Island: Accumulation chambers n.3 and n.4 (27/03/2023-03/04/2024) (Versione V1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.14677987
Provides a basic land cover classification with two thematic classes (grassland / non-grassland) for the 2015, 2018 reference years. Unit: Class. Original data authority: 'Copernicus Land Monitoring Service (CLMS)'. Original data coverage: 'Europe'. Original data resolution: 0.000090 0.000180 deg. Years taken from the original data: 2015, 2018. Original time-resolution: 3-yearly. Original data FAIRness score: 14.5. Standard CF name of the group this variable belongs to: land_use_and_cover. This dataset was produced in the context of the ITINERIS PNRR Italian project - project code No. IR0000032 - ESFRI Environment: Data harmonsation process - Gian Luca Vannini - PhD Thesis UniPi - Supervisors Prof. G. Brunori, Dott. G. Coro - Supported by D4Science infrastructure. All the Massaciuccoli data can be downloaded from Zenodo at https://zenodo.org/records/11236772
Number of species cumulative insects clams - Near Future/RCP8.5
Biodiversity Indexes, species richness cumulative of insects and clams Unit: number of species. Original data authority: 'Institute of Information Science and Technologies - National Research Council (ISTI-CNR)'. Original data coverage: 'Massaciuccoli lake basin'. Original data resolution: 0.00045045 deg. Years taken from the original data: 1950, 1980-1999, 2016, 2050, 2100. Original time-resolution: yearly and 20-yearly average. Original data FAIRness score: 11. Standard CF name of the group this variable belongs to: biodiversity. This dataset was produced in the context of the ITINERIS PNRR Italian project - project code No. IR0000032 - ESFRI Environment: Data harmonsation process - Gian Luca Vannini - PhD Thesis UniPi - Supervisors Prof. G. Brunori, Dott. G. Coro - Supported by D4Science infrastructure. All the Massaciuccoli data can be downloaded from Zenodo at https://zenodo.org/records/11236772
Temperatures average - Near Future/RCP8.5
Critical Zone Observatory in Pianosa Island: Accumulation chambers n.3 and n.4 (01/01/2024-31/12/2024)
The installed instrumentation allows CO2 flux measurements from soil (emission and absorption/uptake) by non steady state closed dynamic accumulation Chambers. The aim is to understand if the NEE (Net Ecosystem Exchange) is increasing or decreasing and which parameters most affect this important index. More over, the NEE parameter is extremely useful in climate models. In particular chamber n.3 is a dark chamber and measures the ecosystem respiration while chamber n.4 is a transparent chamber and measures the NEE. The difference between the flux measured by chamber n.4 and that measured by chamber n.3 allows to calculate the GPP (Gross Primary Production). This dataset presents data collected by chamber 3 (Camera_3_2024.xlsx) and chamber 4 (Camera_4_2024.xlsx) every hour. The dataset includes the Net Ecosystem Exchange (NEE), Ecosystem Respiration (ER), atmospheric pressure inside the chamber, soil temperature and soil humidity next to the chamber. It is also available the R2 of the regression line of the CO2 concentration versus time, of each chamber. For transparent chamber H2O flux, number of micromoles of photons striking 1 m^2 per second and R2 of the regression line of the H2O concentration versus time, are also available. The "Camera_3_2024.xlsx" file contains the following fields: Date: Date and time [DD/MM/YYYY hh:mm:ss] CO2 flux[3] [moles/m^2/day]: Ecosystem Respiration (ER) CO2 errq[3]: R2 of the regression line of the CO2 concentration versus time Soil W.[3] [%]: soil humidity next to the chamber Soil T.[3] [degree Celsius]: soil temperature and soil humidity next to the chamber BarP[3] [hPa]: atmospheric pressure inside the chamber The "Camera_4_2024.xlsx" file contains the following fields: Date: Date and time [DD/MM/YYYY hh:mm:ss] CO2 flux[4] [moles/m^2/day]: Ecosystem Respiration (ER) CO2 errq[4]: R2 of the regression line of the CO2 concentration versus time H2O flux[4] [moles/m^2/day]: water flux H2O errq[4]: R2 of the regression line of the H2O concentration versus time PAR[4] [umoles/m^2/s]: numero di micromoli di fotoni che colpiscono 1 m^2 ogni secondo. Soil W.[4] [%]: soil humidity next to the chamber Soil T.[4] [degree Celsius]: soil temperature and soil humidity next to the chamber BarP[4] [hPa]: atmospheric pressure inside the chamber The data was collected thanks to EU - Next Generation EU Mission 4 "Education and Research - Component 2: "From research to business" - Investment 3.1: "Fund for the realisation of an integrated system of research and innovation infrastructures" - Project IR0000032 - ITINERIS - Italian Integrated Environmental Research Infrastructures System - CUP B53C22002150006. Citation Costanza, L., Raco, B., BERTON, A., Trifiro', S., Cini, D., De Vita, A., Norelli, F., Sardo, C., & Provenzale, A. (2026). Critical Zone Observatory in Pianosa Island: Accumulation chambers n.3 and n.4 (01/01/2024-31/12/2024) (Versione V2) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.18389728
Number of species cumulative others - Remote past
Land use and land cover of the Region of Tuscany. The dataset in polygonal form, on a scale of 1:10,000 covers the entire regional territory and contains the land use and land cover classes identified according to the Corine Land Cover - III level legend. For some classes a regional level IV has been introduced. Land use change statistics are also made available. Unit: Classes. Original data authority: 'Regione Toscana'. Original data coverage: 'Tuscany whole region'. Original data resolution: 4.50E-06 deg. Years taken from the original data: 2007, 2010, 2013, 2016, 2019. Original time-resolution: 1-yearly. Original data FAIRness score: 9. Standard CF name of the group this variable belongs to: land_use_and_cover. This dataset was produced in the context of the ITINERIS PNRR Italian project - project code No. IR0000032 - ESFRI Environment: Data harmonsation process - Gian Luca Vannini - PhD Thesis UniPi - Supervisors Prof. G. Brunori, Dott. G. Coro - Supported by D4Science infrastructure. All the Massaciuccoli data can be downloaded from Zenodo at https://zenodo.org/records/11236772
Data collected by the WINTER-CZ Monitoring Station. The CO2 and the temperature is sampled is measured inside the soil, the snowpack (when the station is covered by the snow) and the atmosphere. Other variables are collected as well: the humidity and the oxygen content of the soil, the snowpack height, the humidity and the temperature of the air, the wind speed and direction.
Processes at surface Soil snow and vegetation
Number of species cumulative reptiles amphibians - Recent past
Number of species cumulative reptiles amphibians - Present
Number of species cumulative insects clams - Near Future/RCP4.5
Useful depth for roots (cm) Unit: cm (in classes). Original data authority: 'Regione Toscana'. Original data coverage: 'Tuscany whole region'. Original data resolution: 4.50E-06 deg. Years taken from the original data: 2017. Original time-resolution: 1-yearly. Original data FAIRness score: 9. Standard CF name of the group this variable belongs to: soil_parameters. This dataset was produced in the context of the ITINERIS PNRR Italian project - project code No. IR0000032 - ESFRI Environment: Data harmonsation process - Gian Luca Vannini - PhD Thesis UniPi - Supervisors Prof. G. Brunori, Dott. G. Coro - Supported by D4Science infrastructure. All the Massaciuccoli data can be downloaded from Zenodo at https://zenodo.org/records/11236772
Plant phenology index slope of green down period - Present
Provides the rate of change in the values of the Plant Phenology Index at the day when the vegetation growing season ends. The data at pan-European level are updated in the first quarter of each year. Unit: %. Original data authority: 'Copernicus Land Monitoring Service (CLMS)'. Original data coverage: 'Europe'. Original data resolution: 9.01E-05 deg. Years taken from the original data: 2017-Present. Original time-resolution: 2 season/yearly. Original data FAIRness score: 14.5. Standard CF name of the group this variable belongs to: vegetation_index. This dataset was produced in the context of the ITINERIS PNRR Italian project - project code No. IR0000032 - ESFRI Environment: Data harmonsation process - Gian Luca Vannini - PhD Thesis UniPi - Supervisors Prof. G. Brunori, Dott. G. Coro - Supported by D4Science infrastructure. All the Massaciuccoli data can be downloaded from Zenodo at https://zenodo.org/records/11236772
The dataset "fluxes_meteoclimate_NyAlesund" is a .csv file reporting CO2 fluxes and basic meteoclimatic variables measured in the Bayelva Basin near Ny Alesund, Svalbard, Norway, during the 2019 growing season peak (July-August). Fluxes were measured using the flux chamber method: the Net Ecosystem Exchange (NEE) was measured with a transparent flux chamber, while the Ecosystem Respiration (ER) with a shaded chamber. Version v1: https://doi.org/10.5281/zenodo.5815579
The creation of the use capacity map was done according to the 'Land Capability Classification' (LCC) methodology developed in 1961 by the Soil Conservation Service of the United States Department of Agriculture (USDA), while the Fertility classification followed the methodology proposed by Sanchez (1982) and is partly included in the Capability of Use map; it takes into greater consideration the elements of agronomic fertility of the soil (texture, pH, limestone, CSC, sodium, salinity) classifying the limitations that they induce on soil management. Unit: classes. Original data authority: 'Regione Toscana'. Original data coverage: 'Tuscany whole region'. Original data resolution: 4.50E-06 deg. Years taken from the original data: 2017. Original time-resolution: 1-yearly. Original data FAIRness score: 9. Standard CF name of the group this variable belongs to: soil_parameters. This dataset was produced in the context of the ITINERIS PNRR Italian project - project code No. IR0000032 - ESFRI Environment: Data harmonsation process - Gian Luca Vannini - PhD Thesis UniPi - Supervisors Prof. G. Brunori, Dott. G. Coro - Supported by D4Science infrastructure. All the Massaciuccoli data can be downloaded from Zenodo at https://zenodo.org/records/11236772
Inventory of Landslide - IFFI Friuli Venezia Giulia
The IFFI Inventory is carried out by ISPRA and the Autonomous Regions and Provinces (Art. 6 paragraph g of Law 132/2016). It contains landslides that occurred on the national territory, surveyed according to a standardized and shared methodology. The dataset presents a spatial distribution of 5496 censused landslide bodies covering a total area of 149.55 km2. Seven types of landslides were surveyed: slow-flowing, rapid-flowing, complex, collapse/tilting, rotational/translational sliding, sinking, and n.d. Most of the landslides are classified as rotational/translational sliding (35.77 km2), followed by rapid runoff (71.73 km2) and collapse/toppling (18.04 km2). The province most affected by gravitational phenomena is the province of Udine, which has 2364 landslides with a spatial distribution of 103.81 km2. Trieste has 65 landslide bodies, equal to 0.48 km2, making it the least affected province. This dataset was produced in the context of the ITINERIS PNRR Italian project - project code No. IR0000032 - ESFRI Environment: Data harmonsation process - Rachele Franceschini - Supported by D4Science infrastructure. IFFI source: https://beta.idrogeo.isprambiente.it/app/page/open-data
Map of the main geological units at the regional scale of the Friuli Venezia Giulia Region. This dataset was produced in the context of the ITINERIS PNRR Italian project - project code No. IR0000032 - ESFRI Environment: Data harmonsation process - Rachele Franceschini - Supported by D4Science infrastructure.
Contour Passo della Morte This dataset was produced in the context of the ITINERIS PNRR Italian project - project code No. IR0000032 - ESFRI Environment: Data harmonsation process - Rachele Franceschini - Supported by D4Science infrastructure.
The hillshade has a resolution of 1 meter x 1 meter and is a product derived from the digital terrain model (DTM). The DTM was extracted from the official website of the Friuli Venezia Giulia Region (https://irdat.regione.fvg.it/CTRN/ricerca-cartografia/caricaElementi.jsp?what=Comune&item=FORNI+DI+SOTO). The realization of the product involved the union of several frames. such union may outline in correspondence with the joining points, errors. This dataset was produced in the context of the ITINERIS PNRR Italian project - project code No. IR0000032 - ESFRI Environment: Data harmonsation process - Rachele Franceschini - Supported by D4Science infrastructure.
Digital Surface Model (DSM) was acquired by University of Firenze by means of drone at Passo della Morte on 17 June 2025. The resolution is about 13 cm. This dataset was produced in the context of the ITINERIS PNRR Italian project - project code No. IR0000032 - ESFRI Environment: Data harmonsation process - Rachele Franceschini - Supported by D4Science infrastructure.
BURSTER project aimed to investigate the hydrographic conditions and the possible gas seepage activity present in the inner part of the Kveithola glacial trough (South of Svalbard). Additionally, it aimed to study climate induced environmental changes controlling the evolution of living organisms in extreme environments. The cruise was conceived as a preliminary investigation on which results would be defined a major project to reveal the Kveithola bio-geochemical system. Specific oceanographic objectives are: 1) The study of water mass properties through hydrographical sections along key transects (synoptic CTD measurements over the area), and 2) the definition of water masses characteristics through bio-geochemical analyses of water samples. Specific geological, biological and environmental objectives are: 1) Definition of isotopic signature to assess the origin of the seeping fluids; 2) Characterization of natural seepage using geophysical and geochemical data; 3) To investigate the presence of authigenic carbonates and/or chemosynthetic communities on the seafloor (video + sampling); 4) The analyses of past and recent benthic foraminiferal communities and their resilience to oxygen depletion and methane emissions as potential indicators of variation in oxygen and carbon dioxide concentrations and hydrocarbon seeps; 5) Definition of temporal variation of the benthic foraminiferal assemblages (through sediment cores) and study of living benthic foraminifera in terms of density and biodiversity; 6) Evaluation of existing and future impacts of dysoxia on pelagic and benthic ecosystems by assessment of its biogeochemical, biological and ecological consequences in the Kveithola drift (seafloor sampling); 7) Calibration of geochemical and biological proxies applied to living benthic and planktonic foraminifera in order to assess the variation in oxygen concentration and hydrocarbon emission and their impact in the biomineralization mechanisms. Proxies will be useful to interpret the fossil redox conditions; 8) To investigate high resolution centennial sedimentary records of the spatial and temporal changes in the redox conditions of the water column using inorganic and organic proxies, biomarkers, and isotopic signatures; 9) To study of the palaeoclimatic systems (from previous studies in the area) and their possible relation to oxygen depletion. EUROFLEETS2-BUSTER BURSTER Bottom Currents in a Stagnant Environment Start Expedition: 16-06-13 End Expedition: 2016-06-23 Local: Norway Age: Neogene This dataset was produced by OGS This dataset was produced in the context of the ITINERIS PNRR Italian project - project code No. IR0000032 - ESFRI Environment: Data harmonsation process - Rachele Franceschini - Supported by D4Science infrastructure.
The Italian Navy, with the help of oceanographic and hydrographic research platforms and instruments from the Navy Hydrographic Institute, aimed to improve the knowledge of developments in that marine environment in order to better guarantee safety and the free use of resources. In particular, the completion of the geophysical picture of that part of the ocean obtained with the data collected during the High North 2017 Campaign will provide useful information for assessment in many sectors, not least climate. All this will be achieved using state-of-the-art instruments, such as gliders, integrated into complex digital underwater communication networks for the coordination and control of all scientific instruments (Digital Underwater Networked Communications). High North, Marina Militare Italiana Start Expedition: 2017-07-09 End of Expedition: 2017-07-29 Local: Norway Age: Quaternary This dataset was produced by OGS This dataset was produced in the context of the ITINERIS PNRR Italian project - project code No. IR0000032 - ESFRI Environment: Data harmonsation process - Rachele Franceschini - Supported by D4Science infrastructure.
The EGLACOM project is an Italian contribution to the International Polar Year (IPY). The main objective of EGLACOM is the geophysical and stratigraphic high-resolution study of an ice stream dominated marine depositional system of the Arctic margin in order to reconstruct the margin evolution locally from the Pliocene to the recent-most deglaciation, and to define the sedimentary architecture and seafloor morphology as it changed through time since the onset of glacial conditions. The target study area is the southern margin of Svalbard, and in particular the glacial sedimentary system fed by the ice stream once occupying the Storfjiorden glacial trough in the northern Barents Sea. Additional objectives are: 1) Study of oceanographic processes connected to the Polar front and hydrologic characterization of Storfjorden dense water plumes. This objective will be pursued by mean of integrated seismic oceanography: identification of the acoustic interfaces in the water column along the multichannel seismic (MCS) reflection profiles and calibration with conventional oceanographic data: continuous thermosalinograph (TSG) and ADCP data, surface water sampling (spilled from TSG pipeline) along transit transect, XBT (during MCS acquisition), and deep water sampling carousel (WSC) of bottles, on which CTD and SVP (Sound Velocity Probe) were fastened. 2) Study of the organic carbon utilization, degradation and transformation processes along the water column in order to estimate the efficiency of biological pumps in the sequestration and export of CO2; calibration of the biochemical composition of organic matter as paleoenvironmental proxy, by assessing biopolymers concentration in the sediment cores and its relationship with production/degradation processes. 3) Detailed analysis of sound velocity and of the variation of the wavelet shape along a MCS profile close to the area of the geophysical investigation carried out within the EU HYDRATECH project. 4) Geological characterization of fluid flow systems in the area (potential identification of seabed seepage, mud volcanoes, pockmarks, Bottom Simulating Reflectors connected to the presence of gas hydrates). EGLACOM EGLACOM IPY EGLACOM Start of Expedtion: 2008-07-08 End of Expedition: 2008-08-04 Local:Norway Age: Neogene This dataset was produced by OGS. This dataset was produced in the context of the ITINERIS PNRR Italian project - project code No. IR0000032 - ESFRI Environment: Data harmonsation process - Rachele Franceschini - Supported by D4Science infrastructure.
The dataset consists of a points identifying the installation point of some landslide monitoring instruments at Passo Della Morte (Forni di Sotto - Udine). The shapefile provides the location of the instrumentation used to monitor the landslide. Within the description database is the useful link for viewing the time series of displacements or other variables. The link: https://land-instability-itineris-2.streamlit.app/ The graph visualization platform was created separately with the help of the streamlit library. The application is based on python language. This dataset was produced in the context of the ITINERIS PNRR Italian project - project code No. IR0000032 - ESFRI Environment: Data harmonsation process - Rachele Franceschini - Supported by D4Science infrastructure.
The digital model of the terrain has a resolution of 1 meter x 1 meter and is a product extracted from the official website of the Friuli Venezia Giulia Region (https://irdat.regione.fvg.it/CTRN/ricerca-cartografia/caricaElementi.jsp?what=Comune&item=FORNI+DI+SOTTO). The DTM covers the study area, located at the Passo della Morte. The realization of the product involved the union of several frames. such union may outline in correspondence with the joining points, errors. This dataset was produced in the context of the ITINERIS PNRR Italian project - project code No. IR0000032 - ESFRI Environment: Data harmonsation process - Rachele Franceschini - Supported by D4Science infrastructure.
Digital Terrain Model - DTM - Friuli Venezia Giulia
The digital terrain model has pixels of size 50 x 50 meters. For more information regarding descriptive and cartographic data of the Friuli Venezia Giulia Region, please refer to the specific site: https://eaglefvg.regione.fvg.it/eagle/main.aspx?configuration=guest This dataset was produced in the context of the ITINERIS PNRR Italian project - project code No. IR0000032 - ESFRI Environment: Data harmonsation process - Rachele Franceschini - Supported by D4Science infrastructure.
IT_22_Mar Piccolo of Taranto_ENV_EXO2_San Pietro_2024-2025_V20250716.xlsx
Chemical-physical data acquired with the multiparametric probe EXO2 at San Pietro station of Mar Piccolo of Taranto during seasonal sampling conducted in the period 2024-2025. The recorded variables are: depth, temperature, salinity, conductivity, dissolved oxygen (as saturation percentage and concentration), chorophyll a, phyerythrin, turbidity. Nessun abstract inserito
The file contains phytoplankton abundance monitoring data related to the water of the Cabras Lagoon, identified in the laboratory using inverted optical microscopy. Specifically, the data pertains to EOV - Biology and Ecosystems: Phytoplankton Biomass and Diversity. The data represent the average of the entire lagoon water body. The measurements are taken monthly.serito
IT_22_Mar Piccolo of Taranto_ENV_TinyTag_Cimino_2015-2023_V20250729.xlsx
This dataset contains data of surface water temperature hourly acquired with TinyTag data logger at Cimino station of Mar Piccolo of Taranto in the period 2015-2023.
IT_22_Mar Piccolo of Taranto_ENV_EXO2_Cimino_2024-2025_V20250716.xlsx
Chemical-physical data acquired with the multiparametric probe EXO2 at Cimino station of Mar Piccolo of Taranto during seasonal sampling conducted in the period 2024-2025. The recorded variables are: depth, temperature, salinity, conductivity, dissolved oxygen (as saturation percentage and concentration), chorophyll a, phyerythrin, turbidity. erito
Abstract Phytoplankton biomass of Lagoon of Venice in five sampling points, collected with a monthly cadence, at surface
The file contains environmental monitoring data related to the water of the Cabras Lagoon, measured in laboratory. Specifically, the data pertains to ECV - Ocean, Biogeochemical: Nutrients (total phosphorus and total nitrogen). The data represent the average of the entire lagoon water body. The measurements are taken monthly.
Abundance of Non‑Indigenous Zoobenthic and Phytobenthic Species at the Battendieri Station (Mar Piccolo of Taranto) - 2022–2025
The resource contains data of abundance (the average of 3 replicates) for non-indigenous zoobenthic and phytobenthic species observed in samples collected at the Battendieri station in the Mar Piccolo of Taranto in the period 2022-2025
Microbiological Indicators of Seawater Quality at Cimino Station (Mar Piccolo of Taranto) - 2023–2025
The resource contains data of principal microbiological indicators for seawater (coliform, faecal coliform, Escherichia coli, enterococci) assessed in water samples collected at the Cimino station in the Mar Piccolo of Taranto during the period 2023-2025
IT_22_Mar Piccolo of Taranto_BIODIV_ZooplanktonDivAbund_MPI_2023_V20250721.xlsx
This dataset contains the diversity of taxonomical groups and their relative abundances of zooplankton samples collected at MPI station of Mar Piccolo of Taranto in 2023
IT_22_Mar Piccolo of Taranto_ENV_EXO2_San Pietro_2025-2026_v20260318.xlsx
Environmental parameters (temperature, salinity, and oxygen) from the Lagoon of Venice, measured through periodic sampling using a Microcat SBE37 probe
IT_22_Mar Piccolo of Taranto_ENV_EXO2_Scaletta_2025-2026_v20260318.xlsx
IT_22_Mar Piccolo of Taranto_ENV_Inorganic nutrients_Idrovora_2026_V20260204.xlsx
The resource contains data of nutrients (phosphate, ammoniacal nitrogen, nitrate, nitrites) concentration evaluated in water samples collected at Idrovora station in the Mar Piccolo of Taranto in 2 dates: September 2025 and January 2026
LTER-Italy sites' centroid (Legend Format)
land-instability:Geology_FVG (LegendURL)
The dataset "fluxes_meteoclimate_NyAlesund" is a .csv file reporting CO2 fluxes and basic meteoclimatic variables measured in the Bayelva Basin near Ny Alesund, Svalbard, Norway, during the 2019 growing season peak (July-August). Fluxes were measured using the flux chamber method: the Net Ecosystem Exchange (NEE) was measured with a transparent flux chamber, while the Ecosystem Respiration (ER) with a shaded chamber. Three types of sampling were performed: at a fixed point during 24h ('point' in column sampling); in points randomly distributed over a site ('site' in column sampling); and in points covered with specific species ('species' in column sampling). Flux data are complemented by measurements of soil temperature (Ts, in Celsius degrees), soil volumetric water content (VWC, in %), atmospheric pressure (Pr, in hPa), air temperature (Ta, in Celsius degrees), air moisture (RH, in %), and solar radiance (rs , in W/m2). The Green Fractional Cover (GFC, between 0 and 1) of the vegetation inscribed within the sampling surface was estimated from digital RGB pictures taken at nadir. Measurements were divided into 4 classes, depending on the prevailing cover type: bare soil (BS), vascular vegetation (V), non-vascular vegetation (NV, including lichens, mosses and bacterial soil crust) and mix of vascular and non-vascular vegetation (MIX). Class V was further split into 5 subclasses: Carex spp. (CX), Dryas octopetala (DR), Salix Polaris (SL), Saxifraga oppostifolia (SX) and Silene acaulis (SI). Version v1: https://doi.org/10.5281/zenodo.5815579
IT_22_Mar Piccolo of Taranto_ENV_EXO2_San Pietro_2024-2025_V20250716.xlsx.xlsx
IT_22_Mar Piccolo of Taranto_ENV_EXO2_San Pietro_2024-2025_V20250716.xlsx (Hosted Document Format)
IT_22_Mar Piccolo of Taranto_ENV_TinyTag_Cimino_2015-2023_V20250729.xlsx.xlsx
IT_22_Mar Piccolo of Taranto_ENV_TinyTag_Cimino_2015-2023_V20250729.xlsx (Hosted Document Format)
LTER-Italy sites' centroid (Thumbnail Format)
land-instability:High_North_Marina Militare_ Italiana
IT_22_Mar Piccolo of Taranto_ENV_EXO2_Cimino_2024-2025_V20250716.xlsx.xlsx
IT_22_Mar Piccolo of Taranto_ENV_EXO2_Cimino_2024-2025_V20250716.xlsx (Hosted Document Format)
Biosphere-atmosphere exchange fluxes for CO2 from the Vegetation Photosynthesis and Respiration Model VPRM
Online link to the 'IT_22_Mar Piccolo of Taranto_ENV_EXO2_San Pietro_2025-2026_v20260318.xlsx' description on GeoNode
IT_LAGUNADICABRAS_NUTRIENTS_2025_V20250731.xlsx (Thumbnail Format)
Online link to the 'IT_22_Mar Piccolo of Taranto_ENV_EXO2_Cimino_2024-2025_V20250716.xlsx' description on GeoNode
LTER-Italy sites' centroid (Zipped Shapefile Format)
Online link to the 'IT_LAGUNADICABRAS_NUTRIENTS_2025_V20250731.xlsx' description on GeoNode
land-instability:DSM_Passo_della_Morte (LegendURL)
chamber n.3 is a dark chamber and measures the ecosystem respiration
LTER-Italy sites' centroid (Original Format)
land-instability: Legend Measurement_points
LTER-Italy sites' centroid (Excel Format)
R script for non-linear models of ER and GPP (modified after Magnani et al., 2020; Magnani & Lenzi, 2024).
land-instability:DTM_landslide_FVG (LegendURL)
Online link to the 'IT15_EasternLigurianSea_TBaia_01m_SkalarSAN++_2022-2025_V20260402.xlsx' description on GeoNode
662_R_0005_CPC Kit.Rete 662 - Passo della morte _0005_report.csv
Online link to the 'IT16-LagoonOfVenice_Station2_1997-2017_V20260213.xlsx' description on GeoNode
Online link to the 'IT_22_Mar Piccolo of Taranto_ENV_Inorganic nutrients_Idrovora_2026_V20260204.xlsx' description on GeoNode
Online link to the 'IT_22_Mar Piccolo of Taranto_ENV_EXO2_Scaletta_2025-2026_v20260318.xlsx' description on GeoNode
IT16-LagoonOfVenice_Station4_1997-2017_V20260213.xlsx (Hosted Document Format)
IT_22_Mar Piccolo of Taranto_ENV_EXO2_San Pietro_2025-2026_v20260318.xlsx.xlsx
IT_22_Mar Piccolo of Taranto_ENV_EXO2_San Pietro_2025-2026_v20260318.xlsx (Hosted Document Format)
LTER-Italy sites' centroid (JPEG Format)
LTER-Italy sites' centroid (GML 3.1.1 Format)
Online link to the 'IT_22_Mar Piccolo of Taranto_BIODIV_ZooplanktonDivAbund_MPI_2023_V20250721.xlsx' description on GeoNode
Chamber n.4 is a transparent chamber and measures the NEE
land-instability:High_North_Marina Militare_ Italiana (LegendURL)
geonode Service - Provides Layer: LTER-Italy sites' centroid
Microbiological Indicators of Seawater Quality at Cimino Station (Mar Piccolo of Taranto) - 2023–2025.xlsx
Microbiological Indicators of Seawater Quality at Cimino Station (Mar Piccolo of Taranto) - 2023–2025 (Hosted Document Format)
Abundance of Non‑Indigenous Zoobenthic and Phytobenthic Species at the Battendieri Station (Mar Piccolo of Taranto) - 2022–2025.xlsx
Abundance of Non‑Indigenous Zoobenthic and Phytobenthic Species at the Battendieri Station (Mar Piccolo of Taranto) - 2022–2025 (Hosted Document Format)
Online link to the 'IT_22_Mar Piccolo of Taranto_ENV_EXO2_San Pietro_2024-2025_V20250716.xlsx' description on GeoNode
Online link to the 'LTER-Italy sites' centroid' description on GeoNode
IT_LAGUNADICABRAS_PHYTOPLCLASSABB_2025_V20250731.xlsx (Thumbnail Format)
IT_LAGUNADICABRAS_NUTRIENTS_2025_V20250731.xlsx (Hosted Document Format)
IT_22_Mar Piccolo of Taranto_ENV_EXO2_Scaletta_2025-2026_v20260318.xlsx.xlsx
IT_22_Mar Piccolo of Taranto_ENV_EXO2_Scaletta_2025-2026_v20260318.xlsx (Hosted Document Format)
land-instability:Contour_Passo_della_Morte (LegendURL)
IT_22_Mar Piccolo of Taranto_ENV_Inorganic nutrients_Idrovora_2026_V20260204.xlsx.xlsx
IT_22_Mar Piccolo of Taranto_ENV_Inorganic nutrients_Idrovora_2026_V20260204.xlsx (Hosted Document Format)
Online link to the 'Microbiological Indicators of Seawater Quality at Cimino Station (Mar Piccolo of Taranto) - 2023–2025' description on GeoNode
Online link to the 'IT_LAGOONOFVENICE_PHYTOPLCLASSBIOMASS_2025_V20250806.xlsx' description on GeoNode
This dataset presents georeferenced measurements collected along altitudinal profiles and derives from the union of the accumulation chambers data from the Forni, Lauson and Lavassey Glacier forelands - metadata uuid: Forni: 40fa9ee6-1f2e-47a7-9eb3-d85dc33211b2 ; Lauson: bcab5bb2-91d3-4aa2-85c3-eb7230dfe56d ; Lavassey: 76fe0f43-3d7e-4e14-877e-f8f79cc16d25
IT_22_Mar Piccolo of Taranto_BIODIV_ZooplanktonDivAbund_MPI_2023_V20250721.xlsx.xlsx
IT_22_Mar Piccolo of Taranto_BIODIV_ZooplanktonDivAbund_MPI_2023_V20250721.xlsx (Hosted Document Format)
land-instability:EGLACOM(IPY-OGS) (LegendURL)
IT_LAGOONOFVENICE_PHYTOPLCLASSBIOMASS_2025_V20250806.xlsx (Hosted Document Format)
Online link to the 'IT_LAGUNADICABRAS_PHYTOPLCLASSABB_2025_V20250731.xlsx' description on GeoNode
665_St.Meteo_Stazione Meteo _0101_report
LTER-Italy sites' centroid (GeoJSON Format)
R script for Accumulation chambers data from Forni, Lauson and Lavassey glacier forelands
land-instability:EUROFLEETS2-BURSTER (LegendURL)
Online link to the 'Abundance of Non‑Indigenous Zoobenthic and Phytobenthic Species at the Battendieri Station (Mar Piccolo of Taranto) - 2022–2025' description on GeoNode
Online link to the 'IT16-LagoonOfVenice_Station4_1997-2017_V20260213.xlsx' description on GeoNode
662_R_0004_CPC Kit.Rete 662 - Passo della morte _0004_report
IT16-LagoonOfVenice_Station2_1997-2017_V20260213.xlsx (Hosted Document Format)
LTER-Italy sites' centroid (GML 2.0 Format)
IT15_EasternLigurianSea_TBaia_01m_SkalarSAN++_2022-2025_V20260402.xlsx (Hosted Document Format)
land-instability:hillshade_landslide_FVG (LegendURL)
Online link to the 'IT_22_Mar Piccolo of Taranto_ENV_TinyTag_Cimino_2015-2023_V20250729.xlsx' description on GeoNode
IT_LAGUNADICABRAS_PHYTOPLCLASSABB_2025_V20250731.xlsx (Hosted Document Format)