File download
type: Distribution
description: File download link
format: WMS
issued: 2026-04-02T13:20:01.814546
modified: 2026-04-02T13:20:02.971047
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/wms

Chamber_n3
type: Distribution
description: chamber n.3 is a dark chamber and measures the ecosystem respiration
issued: 2026-04-02T13:23:12.508712
modified: 2026-04-02T13:23:13.636330
access URL: https://doi.org/10.5281/zenodo.18389728

Waterways drainage sub basin - Recent past
type: Dataset
description: Representation of major waterways and drainage canals and their sub-basins 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: water_bodies. 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
issued: 2026-04-02T13:22:33.916785
modified: 2026-06-15T01:16:44.139103
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: water_bodies
keyword: Autorit di Bacino Appenino Settentrionale
keyword: Massaciuccoli Lake basin
keyword: Recent past

CNR-IGG eddy covariance facility at the Arctic CZO
type: Dataset
description: 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 covarian…
issued: 2026-04-02T13:22:42.928111
modified: 2026-06-15T01:17:12.305065
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Carbon dioxide fluxes
keyword: Arctic
keyword: Svalbard
keyword: Ecosystem-atmosphere carbon exchange
keyword: Eddy Covariance
keyword: Arctic environment
keyword: CO2 fluxes

land-instability:DTM_landslide_FVG
type: Distribution
description: DTM_landslide_FVG
format: WMS
issued: 2026-04-02T13:18:51.060653
modified: 2026-04-02T13:18:52.206484
access URL: https://geoserver-itineris-downstream.cloud.d4science.org/geoserver/ows

centroid_lter_italy_ver2.png
type: Distribution
description: LTER-Italy sites' centroid (Thumbnail Format)
format: JPEG
issued: 2026-06-01T22:15:11.743704
modified: 2026-06-01T22:15:13.438018
media type: image/jpeg

662_R_0004_CPC Kit.Rete 662 - Passo della morte _0004_report
type: Distribution
format: CSV
issued: 2026-04-02T13:18:57.710757
modified: 2026-04-02T13:18:59.022697
access URL: https://geonetwork-itineris.cloud.d4science.org/geonetwork/srv/api/records/e5c124ec-3845-45a3-9d74-c7a8bd7ad973/attachments/662_R_0004_CPC%20Kit.Rete%20662%20-%20Passo%20della%20morte%20_0004_report.c…
media type: text/csv

land-instability:DTM_landslide_FVG (LegendURL)
type: Distribution
format: WMS
issued: 2026-04-02T13:18:51.060657
modified: 2026-04-02T13:18:52.206596
access URL: https://geoserver-itineris-downstream.cloud.d4science.org/geoserver/ows

land-instability:Iso_05m
type: Distribution
description: Iso_05m
format: WMS
issued: 2026-04-02T13:18:25.803425
modified: 2026-04-02T13:18:26.923050
access URL: https://geoserver-itineris-downstream.cloud.d4science.org/geoserver/ows

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:24:37.125513
modified: 2026-04-02T13:24:38.275459
access URL: https://doi.org/10.5281/zenodo.8380273

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:20:38.974135
modified: 2026-04-02T13:20:40.141613
access URL: https://doi.org/10.5281/zenodo.8380273

massaciuccoli:111_rockiness_2024pr
type: Distribution
description: 111_rockiness_2024pr
format: WMS
issued: 2026-04-02T13:21:43.229351
modified: 2026-04-02T13:21:44.378790
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

Digital Terrain Model - DTM - Friuli Venezia Giulia
type: Dataset
description: 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.
issued: 2026-04-02T13:18:15.522056
modified: 2026-06-15T01:02:49.012546
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: GeoTIFF
keyword: WCS
keyword: DTM FVG

Precipitation cumulative - Recent past
type: Dataset
description: 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
issued: 2026-04-02T13:22:14.968346
modified: 2026-06-15T01:18:25.980907
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Institute of Information Science and Technologies - National Research Council ISTI-CNR
keyword: Massaciuccoli Lake basin
keyword: climatic_parameters
keyword: Recent past

massaciuccoli:059_precipitation_cum_relative_change_2050nf_rcp85
type: Distribution
description: 059_precipitation_cum_relative_change_2050nf_rcp85
format: WMS
issued: 2026-04-02T13:19:58.000084
modified: 2026-04-02T13:19:59.152727
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

AGB_trento_ALOS_S2
type: Distribution
description: AGB_trento_ALOS_S2
format: WMS
issued: 2026-04-02T13:25:17.516278
modified: 2026-04-02T13:25:18.643706
access URL: https://geoserver-itineris-carbon.cloud.d4science.org/geoserver/wms

Number of species cumulative mammals - Recent past
type: Dataset
description: 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
issued: 2026-04-02T13:23:59.405567
modified: 2026-06-15T01:18:56.293158
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Massaciuccoli Lake basin
keyword: Recent past
keyword: biodiversity
keyword: Institute of Information Science and Technologies - National Research Council ISTI-CNR

land-instability:EUROFLEETS2-BURSTER (LegendURL)
type: Distribution
format: WMS
issued: 2026-04-02T13:18:19.060844
modified: 2026-04-02T13:18:20.193516
access URL: https://geoserver-itineris-downstream.cloud.d4science.org/geoserver/ows

Number of species cumulative birds - Remote Future/RCP8.5
type: Dataset
description: 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
issued: 2026-04-02T13:22:13.076446
modified: 2026-06-15T01:19:13.231781
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Massaciuccoli Lake basin
keyword: Remote Future RCP8.5
keyword: biodiversity
keyword: Institute of Information Science and Technologies - National Research Council ISTI-CNR

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:23:40.554945
modified: 2026-04-02T13:23:41.708047
access URL: https://doi.org/10.5281/zenodo.8380273

Temperatures average - Recent past
type: Dataset
description: 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
issued: 2026-04-02T13:21:46.693875
modified: 2026-06-15T01:19:27.490219
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Massaciuccoli Lake basin
keyword: Institute of Information Science and Technologies - National Research Council ISTI-CNR
keyword: climatic_parameters
keyword: Recent past

File download
type: Distribution
description: File download link
format: WMS
issued: 2026-04-02T13:21:30.912268
modified: 2026-04-02T13:21:32.062367
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/wms

land-instability:High_North_Marina Militare_ Italiana (LegendURL)
type: Distribution
format: WMS
issued: 2026-04-02T13:18:09.034175
modified: 2026-04-02T13:18:10.160060
access URL: https://geoserver-itineris-downstream.cloud.d4science.org/geoserver/ows

land-instability:EGLACOM(IPY-OGS)
type: Distribution
description: EGLACOM(IPY-OGS)
format: WMS
issued: 2026-04-02T13:18:42.513909
modified: 2026-04-02T13:18:43.640194
access URL: https://geoserver-itineris-downstream.cloud.d4science.org/geoserver/ows

massaciuccoli:058_potential_evapotranspiration_relative_change_2100ff_rcp26
type: Distribution
description: 058_potential_evapotranspiration_relative_change_2100ff_rcp26
format: WMS
issued: 2026-04-02T13:24:31.443750
modified: 2026-04-02T13:24:32.592724
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

land-instability:High_North_Marina Militare_ Italiana
type: Distribution
description: High_North_Marina Militare_ Italiana
format: WMS
issued: 2026-04-02T13:18:09.034171
modified: 2026-04-02T13:18:10.159948
access URL: https://geoserver-itineris-downstream.cloud.d4science.org/geoserver/ows

Critical Zone Observatory in Pianosa Island: Accumulation chambers n.3 and n.4 (01/01/2024-31/12/2024)
type: Dataset
description: 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 co…
issued: 2026-04-02T13:23:12.341110
modified: 2026-06-15T01:15:55.861976
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: CO2 flux
keyword: Carbon Footprinting
keyword: Pianosa Island
keyword: Italy
keyword: CO2 fluxes
keyword: Mediterranean Island
keyword: accumulation chamber
keyword: CZ
keyword: Pianosa Island Mediterranean Island
keyword: Critical Zone

Potential evapotranspiration relative change - Remote Future/RCP2.6
type: Dataset
description: 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
issued: 2026-04-02T13:24:31.274416
modified: 2026-06-15T01:16:25.835318
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Copernicus Climate Change Service CCCS
keyword: climatic_parameters
keyword: Massaciuccoli Lake basin
keyword: Remote Future RCP2.6

centroid_lter_italy_ver2.jpg
type: Distribution
description: LTER-Italy sites' centroid (JPEG Format)
format: WMS
issued: 2026-06-01T22:15:11.743689
modified: 2026-06-01T22:15:13.437258
access URL: https://dataregistry.lteritalia.it/geoserver/ows

meteo
type: Distribution
description: meteorological data
issued: 2026-04-02T13:21:12.560579
modified: 2026-04-02T13:21:13.663398
access URL: https://doi.org/10.5281/zenodo.18299100

File download
type: Distribution
description: File download link
format: WMS
issued: 2026-04-02T13:19:15.864195
modified: 2026-04-02T13:19:17.021116
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/wms

Temperatures average - Near Future/RCP8.5
type: Dataset
description: 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
issued: 2026-04-02T13:21:07.082294
modified: 2026-06-15T01:16:07.244646
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: climatic_parameters
keyword: Massaciuccoli Lake basin
keyword: Near Future RCP8.5
keyword: Institute of Information Science and Technologies - National Research Council ISTI-CNR

Landslide morhology
type: Dataset
description: DEM-derived area morphology with 2 m resolution This dataset was produced by CNR-IMAA 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.
issued: 2026-04-02T13:18:33.960287
modified: 2026-06-15T01:03:13.226831
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: features

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:21:30.912270
modified: 2026-04-02T13:21:32.062451
access URL: https://doi.org/10.5281/zenodo.8380273

IT_22_Mar Piccolo of Taranto_ENV_EXO2_San Pietro_2024-2025_V20250716.xlsx.xlsx
type: Distribution
description: IT_22_Mar Piccolo of Taranto_ENV_EXO2_San Pietro_2024-2025_V20250716.xlsx (Hosted Document Format)
issued: 2026-06-13T00:30:40.549499
modified: 2026-06-13T00:30:41.705592
access URL: https://dataregistry.lteritalia.it/documents/105/download

land-instability:DSM_Passo_della_Morte
type: Distribution
description: DSM_Passo_della_Morte
format: WMS
issued: 2026-04-02T13:18:47.691599
modified: 2026-04-02T13:18:48.827694
access URL: https://geoserver-itineris-downstream.cloud.d4science.org/geoserver/ows

IT_22_Mar Piccolo of Taranto_ENV_EXO2_San Pietro_2024-2025_V20250716.xlsx
type: Dataset
description: 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
issued: 2026-06-13T00:30:40.368372
modified: 2026-06-15T01:02:36.746541
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: dissolved oxygen
keyword: temperature
keyword: multiparametric probe
keyword: salinity
keyword: mar piccolo

IT16_LagoonOfVenice_feb2026-mar2026_AlgaeLabAnalyser_V20260409.xlsx
type: Dataset
description: The samples collected were analysed directly using AlgaeLabAnalyser, an instrument that is kept calibrated and requires no sample preparation, thereby reducing both the time and cost of analysis.
issued: 2026-04-25T16:15:16.962171
modified: 2026-06-15T01:02:34.094813
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Lagoon of Venice

File download
type: Distribution
description: File download link
format: WFS
issued: 2026-04-02T13:21:43.229355
modified: 2026-04-02T13:21:44.378907
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/ows

massaciuccoli:066_number_species_cum_birds_2100ff_rcp85
type: Distribution
description: 066_number_species_cum_birds_2100ff_rcp85
format: WMS
issued: 2026-04-02T13:22:13.246586
modified: 2026-04-02T13:22:14.395871
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

Nivolet chamber n.3
type: Distribution
issued: 2026-04-02T13:21:44.962756
modified: 2026-04-02T13:21:46.094044
access URL: https://data.d4science.net/cYSK

land-instability:Geology_FVG (LegendURL)
type: Distribution
format: WMS
issued: 2026-04-02T13:18:20.735416
modified: 2026-04-02T13:18:21.857600
access URL: https://geoserver-itineris-downstream.cloud.d4science.org/geoserver/ows

Unnamed resource
type: Distribution
description: Online link to the 'IT_22_Mar Piccolo of Taranto_ENV_EXO2_San Pietro_2024-2025_V20250716.xlsx' description on GeoNode
issued: 2026-06-13T00:30:40.549493
modified: 2026-06-13T00:30:41.705399
access URL: https://dataregistry.lteritalia.it/catalogue/uuid/1fb2eea3-b9ff-4306-a444-10872ff7e806

land-instability:Geology_FVG
type: Distribution
description: Geology_FVG
format: WMS
issued: 2026-04-02T13:18:20.735412
modified: 2026-04-02T13:18:21.857490
access URL: https://geoserver-itineris-downstream.cloud.d4science.org/geoserver/ows

CARBON
type: Agent

land-instability:ZondAeroLF_Verteglia (LegendURL)
type: Distribution
format: WMS
issued: 2026-04-02T13:18:32.459740
modified: 2026-04-02T13:18:33.596337
access URL: https://geoserver-itineris-downstream.cloud.d4science.org/geoserver/ows

CNR metadata
type: Distribution
description: JSON information about this record
issued: 2026-06-13T00:30:29.844080
modified: 2026-06-13T00:30:31.027047
access URL: https://dataregistry.lteritalia.it/api/v2/cnr/14364cc5-2c62-4fac-a8d0-492d818ea894

IT_ValliDiComacchio_OCEAN_ProbePuntaAngeli_Jun25_Feb26_V20260303.xlsx
type: Dataset
description: Water quality monitoring station built using an OTT netDL 500 data acquisition and remote transmission system and Eureka Waterprobes Manta 30+ multiparameter probe for the continuous measurement of Temperature, pH, Conductivity, Salinity, Oxygen, Turbidity
issued: 2026-06-13T00:30:35.059265
modified: 2026-06-15T01:02:27.326998
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Water parameters

Land use and cover riparian zones change - Present
type: Dataset
description: Provides information on land cover and land use changes for 55 thematic classes in a variable buffer zone of selected rivers across Europe between the 2012 and 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
issued: 2026-04-02T13:19:04.805180
modified: 2026-06-15T01:17:39.454358
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Massaciuccoli Lake basin
keyword: land_use_and_cover
keyword: Present
keyword: Copernicus Land Monitoring Service CLMS

proglacial trends.R
type: Distribution
description: R script for Accumulation chambers data from Forni, Lauson and Lavassey glacier forelands
issued: 2026-04-02T13:19:08.577993
modified: 2026-04-02T13:19:09.681928
access URL: https://data.d4science.net/VecL

Waterways drainage canals - Recent past
type: Dataset
description: Representation of major waterways and drainage canals and their sub-basins 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: water_bodies. 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
issued: 2026-04-02T13:20:50.250916
modified: 2026-06-15T01:17:40.858122
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Massaciuccoli Lake basin
keyword: Recent past
keyword: Autorit di Bacino Appenino Settentrionale
keyword: water_bodies

File download
type: Distribution
description: File download link
format: WMS
issued: 2026-04-02T13:21:21.781513
modified: 2026-04-02T13:21:22.930693
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/wms

Measurement points
type: Dataset
description: 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.
issued: 2026-04-02T13:18:57.491773
modified: 2026-06-15T01:02:51.705128
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: features
keyword: site monitoring
keyword: Measurement points

DASnodes-CRS
type: Dataset
description: The shapefile is composed of 3 points corresponding to the Friulian region of Venice and Giulia. Each point is the location of the interrogations currently active since August 2025. The photo shows 3 Silixa iDAS fiber optic interrogators installed in a dedicated rack cabinet inside the Amaro node (Udine-Friuli Venezia Giulia Region) managed by INSIEL. Each interrogator is positioned on a dedicated isolation platform (dumper) and each of them is associated with a server/NAS (top of photo) for pre-processing and storage of the data. Such drives provide storage of 144 TB each. A fiber optic cable (the yellow cable on the right) is connected to each interrogator. In this node they come three fibres were questioned which, after a short shared stretch, diverge in the direction of Sappada, Cividale del Friuli and Tarvisio. 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.
issued: 2026-04-02T13:18:13.862219
modified: 2026-06-15T01:03:05.304915
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: features

File download
type: Distribution
description: File download link
format: WMS
issued: 2026-04-02T13:21:52.448885
modified: 2026-04-02T13:21:53.596166
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/wms

massaciuccoli:013_water_wetness_status_2024pr
type: Distribution
description: 013_water_wetness_status_2024pr
format: WMS
issued: 2026-04-02T13:19:54.342898
modified: 2026-04-02T13:19:55.495724
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

massaciuccoli:066_number_species_cum_birds_2100ff_rcp45
type: Distribution
description: 066_number_species_cum_birds_2100ff_rcp45
format: WMS
issued: 2026-04-02T13:21:21.781509
modified: 2026-04-02T13:21:22.930578
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

IT_LAGOONOFVENICE_PHYTOPLCLASSBIOMASS_2025_V20250806.xlsx
type: Dataset
description: Abstract Phytoplankton biomass of Lagoon of Venice in five sampling points, collected with a monthly cadence, at surface
issued: 2026-06-13T00:30:31.451300
modified: 2026-06-15T01:02:24.635096
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Phytoplankton
keyword: abundance
keyword: LTER-IT
keyword: Lagoon of Venice

IT_ValliDiComacchio_OCEAN_ProbePuntaAngeli_Jun25_Feb26_V20260303.xlsx.xlsx
type: Distribution
description: IT_ValliDiComacchio_OCEAN_ProbePuntaAngeli_Jun25_Feb26_V20260303.xlsx (Hosted Document Format)
issued: 2026-06-13T00:30:35.224150
modified: 2026-06-13T00:30:36.374717
access URL: https://dataregistry.lteritalia.it/documents/212/download

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:19:43.222944
modified: 2026-04-02T13:19:44.370095
access URL: https://doi.org/10.2909/a1db49f0-1ca1-40fe-8307-16f8f8e38a0f

Number of species cumulative mammals - Present
type: Dataset
description: 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
issued: 2026-04-02T13:20:38.801817
modified: 2026-06-15T01:16:48.393046
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Present
keyword: biodiversity
keyword: Institute of Information Science and Technologies - National Research Council ISTI-CNR
keyword: Massaciuccoli Lake basin

Plant phenology index season minimum value - Present
type: Dataset
description: 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
issued: 2026-04-02T13:19:43.049625
modified: 2026-06-15T01:19:10.382745
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: vegetative_season
keyword: Massaciuccoli Lake basin
keyword: Present
keyword: Copernicus Land Monitoring Service CLMS

centroid_lter_italy_ver2.gml
type: Distribution
description: LTER-Italy sites' centroid (GML 2.0 Format)
format: WFS
issued: 2026-06-01T22:15:11.743699
modified: 2026-06-01T22:15:13.437724
access URL: https://dataregistry.lteritalia.it/geoserver/ows

Temperatures average - Near Future/RCP4.5
type: Dataset
description: 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
issued: 2026-04-02T13:24:36.943063
modified: 2026-06-15T01:17:45.246887
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Massaciuccoli Lake basin
keyword: Near Future RCP4.5
keyword: Institute of Information Science and Technologies - National Research Council ISTI-CNR
keyword: climatic_parameters

land-instability:Measurement_points
type: Distribution
description: Measurement_points
format: WMS
issued: 2026-04-02T13:18:57.710752
modified: 2026-04-02T13:18:59.022487
access URL: https://geoserver-itineris-downstream.cloud.d4science.org/geoserver/ows

File download
type: Distribution
description: File download link
format: WMS
issued: 2026-04-02T13:19:43.222942
modified: 2026-04-02T13:19:44.370011
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/wms

File download
type: Distribution
description: File download link
format: WMS
issued: 2026-04-02T13:19:45.059605
modified: 2026-04-02T13:19:46.210188
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/wms

Unnamed resource
type: Distribution
description: Online link to the 'IT16_LagoonOfVenice_feb2026-mar2026_AlgaeLabAnalyser_V20260409.xlsx' description on GeoNode
issued: 2026-04-25T16:15:17.255102
modified: 2026-04-25T16:15:18.590766
access URL: https://dataregistry.lteritalia.it/catalogue/uuid/86837f89-7de4-471b-90ec-28a64b529094

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:21:46.864324
modified: 2026-04-02T13:21:48.018480
access URL: https://doi.org/10.5281/zenodo.8380273

Critical Zone Observatory in Pianosa Island: Accumulation chambers n.1 and n.2 (01/01/2024-31/12/2024)
type: Dataset
description: 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.1 is a dark chamber and measures the ecosystem respiration while chamber n.2 is a transparent chamber and measures the NEE. The difference between the flux measured by chamber n.2 and that measured by chamber n.1 allows to calculate the GPP (Gross Primary Production). This dataset presents data collected by chamber 1 (Camera_1_2024.xlsx) and chamber 2 (Camera_2_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_1_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_2_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 co…
issued: 2026-04-02T13:19:55.923223
modified: 2026-06-15T01:18:17.005820
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Pianosa Island
keyword: Italy
keyword: Critical Zone
keyword: CO2 fluxes
keyword: CO2 flux
keyword: Mediterranean Island
keyword: accumulation chamber
keyword: CZ
keyword: Pianosa Island Mediterranean Island
keyword: Carbon Footprinting

File download
type: Distribution
description: File download link
format: WMS
issued: 2026-04-02T13:19:54.342902
modified: 2026-04-02T13:19:55.495839
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/wms

Rockiness - Present
type: Dataset
description: 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
issued: 2026-04-02T13:21:43.064582
modified: 2026-06-15T01:18:04.323210
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Present
keyword: Regione Toscana
keyword: soil_parameters
keyword: Massaciuccoli Lake basin

meteo
type: Distribution
description: meteorological data
issued: 2026-04-02T13:19:21.366006
modified: 2026-04-02T13:19:22.474598
access URL: https://zenodo.org/records/14679129

Number of species cumulative others - Present
type: Dataset
description: 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
issued: 2026-04-02T13:23:19.836362
modified: 2026-06-15T01:18:37.634692
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Massaciuccoli Lake basin
keyword: biodiversity
keyword: Institute of Information Science and Technologies - National Research Council ISTI-CNR
keyword: Present

massaciuccoli:031_plant_phenology_index_season_maximum_value_2024pr
type: Distribution
description: 031_plant_phenology_index_season_maximum_value_2024pr
format: WMS
issued: 2026-04-02T13:22:57.796792
modified: 2026-04-02T13:22:58.942085
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

File download
type: Distribution
description: File download link
format: WMS
issued: 2026-04-02T13:20:46.629996
modified: 2026-04-02T13:20:47.783150
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/wms

land-instability:ortofoto_Passo_della_Morte
type: Distribution
description: ortofoto_Passo_della_Morte
format: WMS
issued: 2026-04-02T13:18:10.732661
modified: 2026-04-02T13:18:11.853224
access URL: https://geoserver-itineris-downstream.cloud.d4science.org/geoserver/ows

CZ
type: Agent

massaciuccoli:019_land_use_and_cover_riparian_zones_2000np
type: Distribution
description: 019_land_use_and_cover_riparian_zones_2000np
format: WMS
issued: 2026-04-02T13:20:22.175780
modified: 2026-04-02T13:20:23.321828
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

File download
type: Distribution
description: File download link
format: WMS
issued: 2026-04-02T13:24:37.125511
modified: 2026-04-02T13:24:38.275374
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/wms

Contour Passo della Morte
type: Dataset
description: 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.
issued: 2026-04-02T13:18:45.677535
modified: 2026-06-15T01:03:01.430564
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: features
keyword: Contour

Plant phenology index slope of green down period - Present
type: Dataset
description: 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
issued: 2026-04-02T13:23:44.114120
modified: 2026-06-15T01:15:31.607598
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Massaciuccoli Lake basin
keyword: Present
keyword: Copernicus Land Monitoring Service CLMS
keyword: vegetation_index

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:20:10.976947
modified: 2026-04-02T13:20:12.123340
access URL: https://doi.org/10.2909/73f0e3eb-ea21-4083-9b49-9c345c766775

Land use and cover riparian zones - Recent past
type: Dataset
description: 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
issued: 2026-04-02T13:20:22.010008
modified: 2026-06-15T01:19:23.110269
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Recent past
keyword: Copernicus Land Monitoring Service CLMS
keyword: land_use_and_cover
keyword: Massaciuccoli Lake basin

RESP_VPRM_ECMFW_2016
type: Distribution
description: RESP_VPRM_ECMFW_2016
format: WMS
issued: 2026-04-02T13:25:54.952383
modified: 2026-04-02T13:25:56.083426
access URL: https://geoserver-itineris-carbon.cloud.d4science.org/geoserver/wms

CNR metadata
type: Distribution
description: JSON information about this record
issued: 2026-04-25T16:15:17.255108
modified: 2026-04-25T16:15:18.590878
access URL: https://dataregistry.lteritalia.it/api/v2/cnr/86837f89-7de4-471b-90ec-28a64b529094

massaciuccoli:063_temperatures_avg_2050nf_rcp85
type: Distribution
description: 063_temperatures_avg_2050nf_rcp85
format: WMS
issued: 2026-04-02T13:21:07.281557
modified: 2026-04-02T13:21:08.433619
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

land-instability:Line_ERT5
type: Distribution
description: Line_ERT5
format: WMS
issued: 2026-04-02T13:19:03.066128
modified: 2026-04-02T13:19:04.192363
access URL: https://geoserver-itineris-downstream.cloud.d4science.org/geoserver/ows

massaciuccoli:066_number_species_cum_birds_1950fp
type: Distribution
description: 066_number_species_cum_birds_1950fp
format: WMS
issued: 2026-04-02T13:20:07.265937
modified: 2026-04-02T13:20:08.413868
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

High North Marina Militare Italiana
type: Dataset
description: 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.
issued: 2026-04-02T13:18:08.879195
modified: 2026-06-15T01:02:54.367410
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: features

Water surplus - Recent past
type: Dataset
description: 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
issued: 2026-04-02T13:23:03.099296
modified: 2026-06-15T01:16:28.691068
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Institute of Information Science and Technologies - National Research Council ISTI-CNR
keyword: climatic_parameters
keyword: Recent past
keyword: Massaciuccoli Lake basin

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:23:03.265108
modified: 2026-04-02T13:23:04.415502
access URL: https://doi.org/10.5281/zenodo.8380273

land-instability:DTM_FVG (LegendURL)
type: Distribution
format: WMS
issued: 2026-04-02T13:18:15.685567
modified: 2026-04-02T13:18:16.810404
access URL: https://geoserver-itineris-downstream.cloud.d4science.org/geoserver/ows

File download
type: Distribution
description: File download link
format: WFS
issued: 2026-04-02T13:22:52.084076
modified: 2026-04-02T13:22:53.232853
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/ows

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:22:48.310094
modified: 2026-04-02T13:22:49.461996
access URL: https://doi.org/10.5281/zenodo.8380273

test_data_Forni_Lauson_Lavassey_glacier_forelands
type: Dataset
description: 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".
issued: 2026-04-02T13:21:37.860464
modified: 2026-06-15T01:18:43.433078
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: CZ
keyword: Gran Paradiso
keyword: Alps
keyword: carbon dioxide fluxes
keyword: Critical Zone
keyword: CO2 flux
keyword: Graian Alps
keyword: Italian Alps
keyword: Mountain environment
keyword: Carbon fluxes
keyword: Alpine grassland
keyword: Accumulation chamber
keyword: Gran Paradiso National Park
keyword: Italy
keyword: CO2 fluxes

Zond Aero LF GPR
type: Dataset
description: This dataset was acquired with the aim of testing the UAS-borne Zond Aero LF GPR, which is part of the ITINERIS research infrastructure. The testing activities were conducted on the Altopiano di Verteglia (AV, Southern Italy), in correspondence of two pipe systems. The data were acquired along the measurement lines indicated in the shapefile (upper panel in figure). A single line was extracted (central panel in figure) in order to show the results of the processed dataset (lower panel in figure), from which the two hyperbolas associated with the pipes can be observed (green arrows). More information about this activity can be found at https://doi.org/10.1007/978-3-031-97663-6_33 Figure caption. GPR data. Full flight raw radargram (upper panel), single line raw (central panel) and processed (lower panel) radargrams. This dataset was produced CNR-IREA 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.
issued: 2026-04-02T13:18:32.295030
modified: 2026-06-15T01:03:15.857175
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Zond Aero LF GPR
keyword: features

File download
type: Distribution
description: File download link
format: WMS
issued: 2026-04-02T13:21:19.849848
modified: 2026-04-02T13:21:21.007499
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/wms

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:23:50.284232
modified: 2026-04-02T13:23:51.434895
access URL: https://doi.org/10.2909/7d3b6dde-5884-45ee-82b2-611e7b2efd1f

Critical Zone Observatory in Pianosa Island: meteorological data (01/01/2024-31/12/2024)
type: Dataset
description: 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
issued: 2026-04-02T13:21:12.406668
modified: 2026-06-15T01:17:23.416413
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Pianosa Island Mediterranean Island
keyword: atmospheric pressure
keyword: Pianosa Island
keyword: Italy
keyword: air humidity
keyword: rain gauge
keyword: meteorolgical data
keyword: Mediterranean Island
keyword: wind direction
keyword: CZ
keyword: Critical Zone

Biosphere-atmosphere exchange fluxes for CO2 from the Vegetation Photosynthesis and Respiration Model VPRM
type: Distribution
description: File access and download link
format: WMS
issued: 2026-04-02T13:25:39.743798
modified: 2026-04-02T13:25:40.883743
access URL: https://geoserver-itineris-carbon.cloud.d4science.org/geoserver/VPRM_ECMFW_RESP/wms

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:21:19.849850
modified: 2026-04-02T13:21:21.007587
access URL: https://doi.org/10.5281/zenodo.8380273

massaciuccoli:064_water_surplus_2000np
type: Distribution
description: 064_water_surplus_2000np
format: WMS
issued: 2026-04-02T13:23:03.265102
modified: 2026-04-02T13:23:04.415302
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

massaciuccoli:120_climate_interference_by_water_deficit_2024pr
type: Distribution
description: 120_climate_interference_by_water_deficit_2024pr
format: WMS
issued: 2026-04-02T13:23:34.809853
modified: 2026-04-02T13:23:35.972339
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

massaciuccoli:065_number_species_cum_all_2050nf_rcp45
type: Distribution
description: 065_number_species_cum_all_2050nf_rcp45
format: WMS
issued: 2026-04-02T13:24:35.192780
modified: 2026-04-02T13:24:36.340707
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

RESP_VPRM_ECMFW_2014
type: Distribution
description: RESP_VPRM_ECMFW_2014
format: WMS
issued: 2026-04-02T13:25:07.481218
modified: 2026-04-02T13:25:08.615035
access URL: https://geoserver-itineris-carbon.cloud.d4science.org/geoserver/wms

AGB_trento_ALOS_S2
type: Dataset
description: 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.
issued: 2026-04-02T13:25:17.349312
modified: 2026-06-15T02:30:13.858615
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Trento
keyword: S1 S2
keyword: ALOS
keyword: yearly
keyword: 2018
keyword: Aboveground Biomass

massaciuccoli:001_clc_backbone_2024pr
type: Distribution
description: 001_clc_backbone_2024pr
format: WMS
issued: 2026-04-02T13:20:52.345866
modified: 2026-04-02T13:20:53.496811
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

massaciuccoli:065_number_species_cum_all_2100ff_rcp85
type: Distribution
description: 065_number_species_cum_all_2100ff_rcp85
format: WMS
issued: 2026-04-02T13:22:22.666874
modified: 2026-04-02T13:22:23.818689
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

WINTER-CZ CO2 Monitoring Station
type: Dataset
description: 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.
issued: 2026-04-02T13:24:21.965721
modified: 2026-06-15T01:15:50.245961
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: IR CO2 ANALYZER
keyword: Thermistors
keyword: ITALY
keyword: SOIL RESPIRATION
keyword: Processes at surface Soil snow and vegetation
keyword: Soil Characteristics
keyword: ACADEMIC
keyword: Hygrometers
keyword: PRESSURE TRANSDUCERS
keyword: SNOW ICE
keyword: Ecosystem and biodiversity
keyword: carbon dioxide tundra permafrost
keyword: ANEMOMETERS
keyword: SVALBARD AND JAN MAYEN
keyword: BIOGEOCHEMICAL PROCESSES
keyword: SONIC ANEMOMETER
keyword: SURFACE WINDS
keyword: OXYGEN METERS
keyword: Soil
keyword: ULTRASONIC DEPTH SENSOR
keyword: INFRASTRUCTURE
keyword: SOILS
keyword: Atmospheric conditions
keyword: Environmental monitoring facilities

land-instability:DASnodes-CRS
type: Distribution
description: DASnodes-CRS
format: WMS
issued: 2026-04-02T13:18:14.008326
modified: 2026-04-02T13:18:15.129752
access URL: https://geoserver-itineris-downstream.cloud.d4science.org/geoserver/ows

Potential evapotranspiration relative change - Near Future/RCP2.6
type: Dataset
description: 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
issued: 2026-04-02T13:21:52.255320
modified: 2026-06-15T01:17:31.915487
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: climatic_parameters
keyword: Massaciuccoli Lake basin
keyword: Near Future RCP2.6
keyword: Copernicus Climate Change Service CCCS

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:19:15.864197
modified: 2026-04-02T13:19:17.021200
access URL: https://cds.climate.copernicus.eu/cdsapp

Fluxes meteoclimate Ny Alesund 2019_V1
type: Dataset
description: 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
issued: 2026-04-02T13:22:55.723958
modified: 2026-06-15T01:15:27.199423
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: CZ
keyword: Gran Paradiso
keyword: Alps
keyword: carbon dioxide fluxes
keyword: CO2 flux
keyword: Graian Alps
keyword: Italian Alps
keyword: Mountain environment
keyword: Carbon fluxes
keyword: Alpine grassland
keyword: Accumulation chamber
keyword: Gran Paradiso National Park
keyword: Italy
keyword: Critical Zone
keyword: CO2 fluxes

DTM landslide from EagleFVG
type: Dataset
description: 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.
issued: 2026-04-02T13:18:50.858209
modified: 2026-06-15T01:02:50.374737
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: DTM_landslide_FVG
keyword: GeoTIFF
keyword: Raster

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:20:50.464191
modified: 2026-04-02T13:20:51.610963
access URL: https://www.appenninosettentrionale.it/itc/

massaciuccoli:069_number_species_cum_mammals_2100ff_rcp85
type: Distribution
description: 069_number_species_cum_mammals_2100ff_rcp85
format: WMS
issued: 2026-04-02T13:21:30.912265
modified: 2026-04-02T13:21:32.062230
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

Corine Land Cover (CLC) backbone - Present
type: Dataset
description: Provides wall-to-wall spatially detailed land cover inventory for the 2018 reference year, for each pixel showing the dominant land cover among the 11 basic land cover classes. 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: 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
issued: 2026-04-02T13:20:52.181412
modified: 2026-06-15T01:18:52.012646
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Copernicus Land Monitoring Service CLMS
keyword: Massaciuccoli Lake basin
keyword: land_use_and_cover
keyword: Present

File download
type: Distribution
description: File download link
format: WMS
issued: 2026-04-02T13:20:38.974133
modified: 2026-04-02T13:20:40.141529
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/wms

massaciuccoli:062_precipitation_cum_2000np
type: Distribution
description: 062_precipitation_cum_2000np
format: WMS
issued: 2026-04-02T13:22:15.135157
modified: 2026-04-02T13:22:16.282898
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:20:01.814547
modified: 2026-04-02T13:20:02.971132
access URL: https://doi.org/10.5281/zenodo.8380273

File download
type: Distribution
description: File download link
format: WFS
issued: 2026-04-02T13:19:14.011421
modified: 2026-04-02T13:19:15.163057
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/ows

File download
type: Distribution
description: File download link
format: WMS
issued: 2026-04-02T13:20:10.976945
modified: 2026-04-02T13:20:12.123234
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/wms

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:21:03.517681
modified: 2026-04-02T13:21:04.678750
access URL: https://dati.toscana.it/dataset/dem10mt

IT_22_Mar Piccolo of Taranto_ENV_TinyTag_Cimino_2015-2023_V20250729.xlsx.xlsx
type: Distribution
description: IT_22_Mar Piccolo of Taranto_ENV_TinyTag_Cimino_2015-2023_V20250729.xlsx (Hosted Document Format)
issued: 2026-06-13T00:30:37.018627
modified: 2026-06-13T00:30:38.167568
access URL: https://dataregistry.lteritalia.it/documents/108/download

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:22:57.796798
modified: 2026-04-02T13:22:58.942306
access URL: https://doi.org/10.2909/774f56fc-e0e3-4918-aaea-c181bab0c2a3

Nivolet chamber n.2
type: Distribution
issued: 2026-04-02T13:21:50.505777
modified: 2026-04-02T13:21:51.642828
access URL: https://data.d4science.net/Gpy5

Chamber_n4
type: Distribution
description: Chamber n.4 is a transparent chamber and measures the NEE
issued: 2026-04-02T13:23:12.508716
modified: 2026-04-02T13:23:13.636444
access URL: https://doi.org/10.5281/zenodo.18389728

massaciuccoli:108_capacity_use_and_fertility_2024pr
type: Distribution
description: 108_capacity_use_and_fertility_2024pr
format: WMS
issued: 2026-04-02T13:22:52.084072
modified: 2026-04-02T13:22:53.232739
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

Chamber_n1
type: Distribution
description: chamber n.1 is a dark chamber and measures the ecosystem respiration
issued: 2026-04-02T13:19:56.098380
modified: 2026-04-02T13:19:57.229535
access URL: https://doi.org/10.5281/zenodo.18390580

Plant phenology index season maximum value - Present
type: Dataset
description: 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
issued: 2026-04-02T13:22:57.627335
modified: 2026-06-15T01:16:54.051254
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Copernicus Land Monitoring Service CLMS
keyword: vegetation_index
keyword: Massaciuccoli Lake basin
keyword: Present

test_data_Lenzi_et_al_2023
type: Dataset
description: Dataset used as test to apply the R script developed 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). 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
issued: 2026-04-02T13:19:50.519141
modified: 2026-06-15T01:19:18.809177
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Graian Alps
keyword: Mountain environment
keyword: Carbon fluxes
keyword: Alpine grassland
keyword: Accumulation chamber
keyword: Carbon dioxide fluxes
keyword: Gran Paradiso National Park
keyword: Italy
keyword: Critical Zone
keyword: CO2 fluxes
keyword: CO2 flux
keyword: Italian Alps
keyword: CZ
keyword: Gran Paradiso
keyword: Alps

CNR metadata
type: Distribution
description: JSON information about this record
issued: 2026-06-13T00:30:40.549497
modified: 2026-06-13T00:30:41.705509
access URL: https://dataregistry.lteritalia.it/api/v2/cnr/1fb2eea3-b9ff-4306-a444-10872ff7e806

File download
type: Distribution
description: File download link
format: WMS
issued: 2026-04-02T13:23:36.712195
modified: 2026-04-02T13:23:37.870392
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/wms

massaciuccoli:084_waterways_drainage_sub_basin_2000np
type: Distribution
description: 084_waterways_drainage_sub_basin_2000np
format: WMS
issued: 2026-04-02T13:22:34.088051
modified: 2026-04-02T13:22:35.237804
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

Vegetation Photosynthesis and Respiration Model. Ecosystem Respiration. Year 2014
type: Dataset
description: 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.
issued: 2026-04-02T13:25:07.303424
modified: 2026-06-15T02:30:31.044372
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Ecosystem Respiration
keyword: Carbon cycle
keyword: Carbon balance
keyword: monthly
keyword: 2014
keyword: Italy

EUROFLEETS2-BURSTER
type: Dataset
description: 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…
issued: 2026-04-02T13:18:18.885799
modified: 2026-06-15T01:02:55.726473
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: features

IT_LAGUNADICABRAS_NUTRIENTS_2025_V20250731.xlsx
type: Dataset
description: 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.
issued: 2026-06-13T00:30:29.666720
modified: 2026-06-15T01:02:21.738149
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Eutrophication
keyword: Mediterranean
keyword: Lagoon
keyword: Nutrients

RESP_VPRM_ECMFW_2009
type: Distribution
description: RESP_VPRM_ECMFW_2009
format: WMS
issued: 2026-04-02T13:25:24.271791
modified: 2026-04-02T13:25:25.401858
access URL: https://geoserver-itineris-carbon.cloud.d4science.org/geoserver/wms

massaciuccoli:112_chemical_fertility_of_surface_horizon_2024pr
type: Distribution
description: 112_chemical_fertility_of_surface_horizon_2024pr
format: WMS
issued: 2026-04-02T13:19:14.011417
modified: 2026-04-02T13:19:15.162941
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

massaciuccoli:062_precipitation_cum_2100ff_rcp85
type: Distribution
description: 062_precipitation_cum_2100ff_rcp85
format: WMS
issued: 2026-04-02T13:23:36.712191
modified: 2026-04-02T13:23:37.870279
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:22:34.088056
modified: 2026-04-02T13:22:35.238001
access URL: https://www.appenninosettentrionale.it/itc/

File download
type: Distribution
description: File download link
format: WFS
issued: 2026-04-02T13:20:22.175784
modified: 2026-04-02T13:20:23.321941
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/ows

Biosphere-atmosphere exchange fluxes for CO2 from the Vegetation Photosynthesis and Respiration Model VPRM
type: Distribution
description: File access and download link
format: WMS
issued: 2026-04-02T13:25:54.952387
modified: 2026-04-02T13:25:56.083539
access URL: https://geoserver-itineris-carbon.cloud.d4science.org/geoserver/VPRM_ECMFW_RESP/wms

CLIMA
type: Agent

662_R_0005_CPC Kit.Rete 662 - Passo della morte _0005_report.csv
type: Distribution
format: CSV
issued: 2026-04-02T13:18:57.710759
modified: 2026-04-02T13:18:59.022776
access URL: https://geonetwork-itineris.cloud.d4science.org/geonetwork/srv/api/records/e5c124ec-3845-45a3-9d74-c7a8bd7ad973/attachments/662_R_0005_CPC%20Kit.Rete%20662%20-%20Passo%20della%20morte%20_0005_report.c…
media type: text/csv

massaciuccoli:058_potential_evapotranspiration_relative_change_2050nf_rcp26
type: Distribution
description: 058_potential_evapotranspiration_relative_change_2050nf_rcp26
format: WMS
issued: 2026-04-02T13:21:52.448881
modified: 2026-04-02T13:21:53.595993
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

massaciuccoli:070_number_species_cum_reptiles_amphibians_2100ff_rcp45
type: Distribution
description: 070_number_species_cum_reptiles_amphibians_2100ff_rcp45
format: WMS
issued: 2026-04-02T13:19:45.059601
modified: 2026-04-02T13:19:46.210074
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

Nonlinear models_ER & GPP.R
type: Distribution
description: R script for non-linear models of ER and GPP (modified after Magnani et al., 2020; Magnani & Lenzi, 2024).
issued: 2026-04-02T13:19:37.699644
modified: 2026-04-02T13:19:38.811632
access URL: https://data.d4science.net/5CkM

RESP_VPRM_ECMFW_2012
type: Distribution
description: RESP_VPRM_ECMFW_2012
format: WMS
issued: 2026-04-02T13:25:14.169899
modified: 2026-04-02T13:25:15.297778
access URL: https://geoserver-itineris-carbon.cloud.d4science.org/geoserver/wms

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:20:07.265943
modified: 2026-04-02T13:20:08.414060
access URL: https://doi.org/10.5281/zenodo.8380273

Precipitation cumulative relative change - Near Future/RCP2.6
type: Dataset
description: 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
issued: 2026-04-02T13:23:04.996503
modified: 2026-06-15T01:19:21.675397
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: climatic_parameters
keyword: Massaciuccoli Lake basin
keyword: Near Future RCP2.6
keyword: Copernicus Climate Change Service CCCS

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:20:27.547537
modified: 2026-04-02T13:20:28.698181
access URL: https://dati.toscana.it/dataset/dbped

test_data.csv
type: Distribution
description: 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
issued: 2026-04-02T13:21:38.021087
modified: 2026-04-02T13:21:39.123848
access URL: https://data.d4science.net/tBdV

Fluxes meteoclimate Levionaz
type: Dataset
description: 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".
issued: 2026-04-02T13:20:16.436850
modified: 2026-06-15T01:16:49.847233
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Graian Alps
keyword: Gran Paradiso National Park
keyword: Carbon fluxes
keyword: Alpine grassland
keyword: Accumulation chamber
keyword: Gran Paradiso
keyword: carbon dioxide fluxes
keyword: Italy
keyword: Critical Zone
keyword: CO2 fluxes
keyword: CO2 flux
keyword: Italian Alps
keyword: Mountain environment
keyword: CZ
keyword: Alps
keyword: Levionaz

land-instability:DTM_FVG
type: Distribution
description: DTM_FVG
format: WMS
issued: 2026-04-02T13:18:15.685571
modified: 2026-04-02T13:18:16.810515
access URL: https://geoserver-itineris-downstream.cloud.d4science.org/geoserver/ows

CNR metadata
type: Distribution
description: JSON information about this record
issued: 2026-06-13T00:30:35.224148
modified: 2026-06-13T00:30:36.374634
access URL: https://dataregistry.lteritalia.it/api/v2/cnr/1ae65f39-2b4d-4c01-8a17-25e67b193540

File download
type: Distribution
description: File download link
format: WMS
issued: 2026-04-02T13:21:03.517679
modified: 2026-04-02T13:21:04.678666
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/wms

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:21:52.448887
modified: 2026-04-02T13:21:53.596268
access URL: https://cds.climate.copernicus.eu/cdsapp

Number of species cumulative all - Near Future/RCP4.5
type: Dataset
description: 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
issued: 2026-04-02T13:24:35.020888
modified: 2026-06-15T01:19:24.555460
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Near Future RCP4.5
keyword: Massaciuccoli Lake basin
keyword: biodiversity
keyword: Institute of Information Science and Technologies - National Research Council ISTI-CNR

Number of species cumulative all - Remote Future/RCP8.5
type: Dataset
description: 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
issued: 2026-04-02T13:22:22.495334
modified: 2026-06-15T01:19:00.414699
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Massaciuccoli Lake basin
keyword: Remote Future RCP8.5
keyword: biodiversity
keyword: Institute of Information Science and Technologies - National Research Council ISTI-CNR

Land imperviousness density classified change - Present
type: Dataset
description: 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
issued: 2026-04-02T13:20:10.809027
modified: 2026-06-15T01:19:30.404993
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Copernicus Land Monitoring Service CLMS
keyword: soil_parameters
keyword: Massaciuccoli Lake basin
keyword: Present

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:24:35.192786
modified: 2026-04-02T13:24:36.340902
access URL: https://doi.org/10.5281/zenodo.8380273

File download
type: Distribution
description: File download link
format: WFS
issued: 2026-04-02T13:20:25.671469
modified: 2026-04-02T13:20:26.823643
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/ows

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:19:14.011423
modified: 2026-04-02T13:19:15.163140
access URL: https://dati.toscana.it/dataset/dbped

File download
type: Distribution
description: File download link
format: WFS
issued: 2026-04-02T13:19:05.008539
modified: 2026-04-02T13:19:06.156381
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/ows

Unnamed resource
type: Distribution
description: Online link to the 'IT_ValliDiComacchio_OCEAN_ProbePuntaAngeli_Jun25_Feb26_V20260303.xlsx' description on GeoNode
issued: 2026-06-13T00:30:35.224144
modified: 2026-06-13T00:30:36.374523
access URL: https://dataregistry.lteritalia.it/catalogue/uuid/1ae65f39-2b4d-4c01-8a17-25e67b193540

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:20:25.671471
modified: 2026-04-02T13:20:26.823726
access URL: https://dati.toscana.it/dataset/dbped

DOWNSTREAM
type: Agent

centroid_lter_italy_ver2.shx
type: Distribution
description: LTER-Italy sites' centroid (Original Format)
issued: 2026-06-01T22:15:11.743706
modified: 2026-06-01T22:15:13.438090
access URL: https://dataregistry.lteritalia.it/api/v2/assets/282/link

Vegetation Photosynthesis and Respiration Model. Ecosystem Respiration. Year 2016
type: Dataset
description: 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.
issued: 2026-04-02T13:25:54.784478
modified: 2026-06-15T02:31:23.345840
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: monthly
keyword: Carbon cycle
keyword: 2016
keyword: Carbon balance
keyword: Italy
keyword: Ecosystem Respiration

land-instability:Line_ERT3(LegendURL)
type: Distribution
format: WMS
issued: 2026-04-02T13:19:01.413674
modified: 2026-04-02T13:19:02.541006
access URL: https://geoserver-itineris-downstream.cloud.d4science.org/geoserver/ows

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:23:59.578231
modified: 2026-04-02T13:24:00.732355
access URL: https://doi.org/10.5281/zenodo.8380273

NEE_VPRM_ECMFW_2021
type: Distribution
description: NEE_VPRM_ECMFW_2021
format: WMS
issued: 2026-04-02T13:25:02.381836
modified: 2026-04-02T13:25:03.518887
access URL: https://geoserver-itineris-carbon.cloud.d4science.org/geoserver/wms

Landing Page
type: Distribution
issued: 2026-04-02T13:24:22.190438
modified: 2026-04-02T13:24:23.318022
access URL: https://metadata.iadc.cnr.it/geonetwork/srv/eng/catalog.search#/metadata/df817156-0af2-44d7-8ae4-036c0d368bac

geonode:centroid_lter_italy_ver2
type: Distribution
description: geonode Service - Provides Layer: LTER-Italy sites' centroid
format: WMS
issued: 2026-06-01T22:15:11.743707
modified: 2026-06-01T22:15:13.438163
access URL: https://dataregistry.lteritalia.it/geoserver/ows

File download
type: Distribution
description: File download link
format: WMS
issued: 2026-04-02T13:19:58.000088
modified: 2026-04-02T13:19:59.152840
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/wms

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:21:58.075579
modified: 2026-04-02T13:21:59.244847
access URL: https://dati.toscana.it/dataset/dbped

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:19:05.008541
modified: 2026-04-02T13:19:06.156464
access URL: https://doi.org/10.2909/d9aeb892-04d5-42c0-b24a-29b58831316f

IT_LAGUNADICABRAS_NUTRIENTS_2025_V20250731.xlsx.png
type: Distribution
description: IT_LAGUNADICABRAS_NUTRIENTS_2025_V20250731.xlsx (Thumbnail Format)
format: JPEG
issued: 2026-06-13T00:30:29.844084
modified: 2026-06-13T00:30:31.027212
media type: image/jpeg

Biosphere-atmosphere exchange fluxes for CO2 from the Vegetation Photosynthesis and Respiration Model VPRM
type: Distribution
description: File access and download link
format: WMS
issued: 2026-04-02T13:25:24.271795
modified: 2026-04-02T13:25:25.401973
access URL: https://geoserver-itineris-carbon.cloud.d4science.org/geoserver/VPRM_ECMFW_RESP/wms

File download
type: Distribution
description: File download link
format: WMS
issued: 2026-04-02T13:23:40.554943
modified: 2026-04-02T13:23:41.707963
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/wms

massaciuccoli:118_landslides_2024pr
type: Distribution
description: 118_landslides_2024pr
format: WMS
issued: 2026-04-02T13:20:27.547531
modified: 2026-04-02T13:20:28.697985
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:22:13.246592
modified: 2026-04-02T13:22:14.396067
access URL: https://doi.org/10.5281/zenodo.8380273

centroid_lter_italy_ver2.csv
type: Distribution
description: LTER-Italy sites' centroid (CSV Format)
format: WFS
issued: 2026-06-01T22:15:11.743701
modified: 2026-06-01T22:15:13.437872
access URL: https://dataregistry.lteritalia.it/geoserver/ows

EGLACOM(IPY-OGS)
type: Dataset
description: 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 characteri…
issued: 2026-04-02T13:18:42.353309
modified: 2026-06-15T01:02:53.034894
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: features

massaciuccoli:033_plant_phenology_index_season_minimum_value_2024pr
type: Distribution
description: 033_plant_phenology_index_season_minimum_value_2024pr
format: WMS
issued: 2026-04-02T13:19:43.222938
modified: 2026-04-02T13:19:44.369899
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

Unnamed resource
type: Distribution
description: Online link to the 'LTER-Italy sites' centroid' description on GeoNode
issued: 2026-06-01T22:15:11.743683
modified: 2026-06-01T22:15:13.437041
access URL: https://dataregistry.lteritalia.it/catalogue/uuid/412c0c6f-76cf-4143-8367-bc4b34e08481

File download
type: Distribution
description: File download link
format: WMS
issued: 2026-04-02T13:22:57.796796
modified: 2026-04-02T13:22:58.942198
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/wms

Number of species cumulative insects clams - Near Future/RCP8.5
type: Dataset
description: 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
issued: 2026-04-02T13:23:40.381127
modified: 2026-06-15T01:16:17.244374
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Massaciuccoli Lake basin
keyword: Near Future RCP8.5
keyword: biodiversity
keyword: Institute of Information Science and Technologies - National Research Council ISTI-CNR

photo2
type: Distribution
format: JPEG
issued: 2026-04-02T13:18:57.710762
modified: 2026-04-02T13:18:59.022929
media type: image/jpeg

massaciuccoli:150_crop_plans_cultivated_species_2024pr
type: Distribution
description: 150_crop_plans_cultivated_species_2024pr
format: WMS
issued: 2026-04-02T13:19:30.417038
modified: 2026-04-02T13:19:31.569059
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

Line_ERT5
type: Dataset
description: ERT acquisition lines with 5-meter electrode spacing. Made using Syscal Terra (Iris Instr.). This dataset was produced by CNR-IMAA 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. All the Project data can be downloaded from Zenodo at https://zenodo.org/records/11236772
issued: 2026-04-02T13:19:02.908619
modified: 2026-06-15T01:03:07.942441
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: features

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:23:36.712196
modified: 2026-04-02T13:23:37.870477
access URL: https://doi.org/10.5281/zenodo.8380273

land-instability:ortofoto_Passo_della_Morte
type: Distribution
description: ortofoto_Passo_della_Morte
format: WMS
issued: 2026-04-02T13:18:10.732657
modified: 2026-04-02T13:18:11.853112
access URL: https://geoserver-itineris-downstream.cloud.d4science.org/geoserver/ows

massaciuccoli:057_temperature_avg_absolute_change_2024pr_rcp85
type: Distribution
description: 057_temperature_avg_absolute_change_2024pr_rcp85
format: WMS
issued: 2026-04-02T13:19:15.864191
modified: 2026-04-02T13:19:17.021000
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

ITINERIS Catalogue
type: Catalog
description: Italian Integrated Environmental Research Infrastructures System
language: en
modified: 2026-06-15T02:31:23.345840

land-instability:Line_ERT3
type: Distribution
description: Line_ERT3
format: WMS
issued: 2026-04-02T13:19:01.413670
modified: 2026-04-02T13:19:02.540895
access URL: https://geoserver-itineris-downstream.cloud.d4science.org/geoserver/ows

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:22:52.084078
modified: 2026-04-02T13:22:53.232937
access URL: https://dati.toscana.it/dataset/dbped

File download
type: Distribution
description: File download link
format: WMS
issued: 2026-04-02T13:22:48.310092
modified: 2026-04-02T13:22:49.461912
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/wms

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:19:58.000090
modified: 2026-04-02T13:19:59.152922
access URL: https://cds.climate.copernicus.eu/cdsapp

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:23:44.287874
modified: 2026-04-02T13:23:45.437794
access URL: https://doi.org/10.2909/a04554dd-74be-4ce7-8dfc-5effca405eaa

land-instability:IFFI_FVG
type: Distribution
description: IFFI_FVG
format: WMS
issued: 2026-04-02T13:18:12.380885
modified: 2026-04-02T13:18:13.505056
access URL: https://geoserver-itineris-downstream.cloud.d4science.org/geoserver/ows

Temperature average absolute change - Present
type: Dataset
description: 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
issued: 2026-04-02T13:19:15.680982
modified: 2026-06-15T01:16:24.395624
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Present
keyword: Copernicus Climate Change Service CCCS
keyword: climatic_parameters
keyword: Massaciuccoli Lake basin

Vegetation Photosynthesis and Respiration Model. Net Ecosystem Exchange. Year 2021
type: Dataset
description: 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.
issued: 2026-04-02T13:25:02.207199
modified: 2026-06-15T02:30:45.404473
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: monthly
keyword: Carbon cycle
keyword: Carbon balance
keyword: Net Ecosystem Exchange
keyword: Italy
keyword: 2021

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:21:43.229357
modified: 2026-04-02T13:21:44.378989
access URL: https://dati.toscana.it/dataset/dbped

massaciuccoli:071_number_species_cum_others_2000np
type: Distribution
description: 071_number_species_cum_others_2000np
format: WMS
issued: 2026-04-02T13:21:19.849844
modified: 2026-04-02T13:21:21.007332
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

Vegetation Photosynthesis and Respiration Model. Ecosystem Respiration. Year 2011
type: Dataset
description: 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.
issued: 2026-04-02T13:25:39.575956
modified: 2026-06-15T02:31:22.041912
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Carbon balance
keyword: Italy
keyword: monthly
keyword: 2011
keyword: Ecosystem Respiration
keyword: Carbon cycle

IT_LAGUNADICABRAS_NUTRIENTS_2025_V20250731.xlsx.xlsx
type: Distribution
description: IT_LAGUNADICABRAS_NUTRIENTS_2025_V20250731.xlsx (Hosted Document Format)
issued: 2026-06-13T00:30:29.844082
modified: 2026-06-13T00:30:31.027132
access URL: https://dataregistry.lteritalia.it/documents/66/download

Chamber_n3
type: Distribution
description: chamber n.3 is a dark chamber and measures the ecosystem respiration
issued: 2026-04-02T13:21:09.011045
modified: 2026-04-02T13:21:10.138928
access URL: https://doi.org/10.5281/zenodo.14677987

EV
type: Agent

Vegetation Photosynthesis and Respiration Model. Ecosystem Respiration. Year 2012
type: Dataset
description: 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.
issued: 2026-04-02T13:25:14.005568
modified: 2026-06-15T02:30:12.582528
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Italy
keyword: Ecosystem Respiration
keyword: 2012
keyword: Carbon cycle
keyword: Carbon balance
keyword: monthly

land-instability:Impronte_landslide_Carlone
type: Distribution
description: Impronte_landslide_Carlone
format: WMS
issued: 2026-04-02T13:18:34.116647
modified: 2026-04-02T13:18:35.238769
access URL: https://geoserver-itineris-downstream.cloud.d4science.org/geoserver/ows

Inventory of Landslide - IFFI Friuli Venezia Giulia
type: Dataset
description: 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
issued: 2026-04-02T13:18:12.224623
modified: 2026-06-15T01:03:09.342895
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Inventory of Landslide - IFFI Friuli Venezia Giulia
keyword: IFFI
keyword: Landslide

land-instability:Impronte_landslide_Carlone(LegendURL)
type: Distribution
format: WMS
issued: 2026-04-02T13:18:34.116651
modified: 2026-04-02T13:18:35.238880
access URL: https://geoserver-itineris-downstream.cloud.d4science.org/geoserver/ows

Critical Zone Observatory in Nivolet: Accumulation chambers n.3 and n.4
type: Dataset
description: This dataset presents georeferenced measurements collected at the Nivolet Plain in Gran Paradiso National Park (GPNP), western Italian Alps. 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 theevapotranspiration 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.
issued: 2026-04-02T13:21:44.793314
modified: 2026-06-15T01:17:16.319360
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Carbon Footprinting
keyword: Graian Alps
keyword: Gran Paradiso National Park
keyword: CO2 fluxes
keyword: CZ
keyword: Nivolet
keyword: Critical Zone
keyword: Italian Alps
keyword: accumulation chamber

massaciuccoli:063_temperatures_avg_2024pr
type: Distribution
description: 063_temperatures_avg_2024pr
format: WMS
issued: 2026-04-02T13:22:48.310089
modified: 2026-04-02T13:22:49.461796
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

photo1
type: Distribution
description: Estensimetro e inclinometro
format: JPEG
issued: 2026-04-02T13:18:57.710765
modified: 2026-04-02T13:18:59.023080
media type: image/jpeg

R Script for non-linear models of ER and GPP
type: Dataset
description: 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
issued: 2026-04-02T13:19:37.526202
modified: 2026-06-15T01:16:58.238415
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Accumulation chamber
keyword: Model
keyword: Gran Paradiso National Park
keyword: Italy
keyword: Critical Zone
keyword: CO2 fluxes
keyword: CZ
keyword: Gran Paradiso
keyword: Alps
keyword: carbon dioxide fluxes
keyword: CO2 flux
keyword: Graian Alps
keyword: Italian Alps
keyword: Mountain environment
keyword: Carbon fluxes
keyword: Alpine grassland

R script for Accumulation chambers data from glacier forelands
type: Dataset
description: 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".
issued: 2026-04-02T13:19:08.414773
modified: 2026-06-15T01:17:06.744501
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Gran Paradiso National Park
keyword: Italy
keyword: Carbon fluxes
keyword: CO2 fluxes
keyword: Accumulation chamber
keyword: CZ
keyword: Model
keyword: Gran Paradiso
keyword: carbon dioxide fluxes
keyword: Critical Zone
keyword: CO2 flux
keyword: Italian Alps
keyword: Mountain environment
keyword: Alps
keyword: Alpine grassland
keyword: Graian Alps

test_data_Lenzi_et_al_2023
type: Distribution
description: Data represent the average values obtained from four sampling sites, characterized by soils developed over carbonate rocks ('CA') (45.500212N-7.152213E), glacial deposits ('GL') (45.490167N-7.139916E), gneiss rocks ('GN') (45.490256N-7.149253E) and alluvial deposits ('AL') (45.492656 N-7.146092 E). Net Ecosystem Exchange (NEE), Ecosystem Respiration (ER) and Gross Primary Production (GPP) are reported in umolCO2/m2/s. Flux data are complemented by measurements of soil temperature (Soil_Temp, Celsius degree), soil volumetric water content (VWC, %), air temperature (Air_Temp, Celsius degree), air moisture (Air_Moisture, %), solar irradiance (Radiance, W/m2) and atmospheric pressure (Pressure, hPa). Other shortcuts: day of the year, DOY (1-365); decimal time, Time_Dec=hour+minute/60 (0-24 in local time, UTC+2).
issued: 2026-04-02T13:19:50.692237
modified: 2026-04-02T13:19:51.802478
access URL: https://data.d4science.net/BBrp

centroid_lter_italy_ver2.png
type: Distribution
description: LTER-Italy sites' centroid (PNG Format)
format: WMS
issued: 2026-06-01T22:15:11.743696
modified: 2026-06-01T22:15:13.437574
access URL: https://dataregistry.lteritalia.it/geoserver/ows

File download
type: Distribution
description: File download link
format: WMS
issued: 2026-04-02T13:23:05.181203
modified: 2026-04-02T13:23:06.344765
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/wms

Unnamed resource
type: Distribution
description: File access and download link
format: WMS
issued: 2026-04-02T13:25:19.252014
modified: 2026-04-02T13:25:20.371353
access URL: https://geoserver-itineris-carbon.cloud.d4science.org/geoserver/IFAC_CyGNSS/wms

massaciuccoli:060_electrical_conductivity_groundwater_2000np
type: Distribution
description: 060_electrical_conductivity_groundwater_2000np
format: WMS
issued: 2026-04-02T13:20:01.814541
modified: 2026-04-02T13:20:02.970936
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

File download
type: Distribution
description: File download link
format: WFS
issued: 2026-04-02T13:20:27.547535
modified: 2026-04-02T13:20:28.698097
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/ows

File download
type: Distribution
description: File download link
format: WMS
issued: 2026-04-02T13:20:07.265941
modified: 2026-04-02T13:20:08.413977
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/wms

massaciuccoli:038_plant_phenology_index_slope_of_green_down_period_2024pr
type: Distribution
description: 038_plant_phenology_index_slope_of_green_down_period_2024pr
format: WMS
issued: 2026-04-02T13:23:44.287868
modified: 2026-04-02T13:23:45.437598
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

File download
type: Distribution
description: File download link
format: WMS
issued: 2026-04-02T13:23:03.265106
modified: 2026-04-02T13:23:04.415418
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/wms

IT16_LagoonOfVenice_feb2026-mar2026_AlgaeLabAnalyser_V20260409.xlsx.png
type: Distribution
description: IT16_LagoonOfVenice_feb2026-mar2026_AlgaeLabAnalyser_V20260409.xlsx (Thumbnail Format)
format: JPEG
issued: 2026-04-25T16:15:17.255112
modified: 2026-04-25T16:15:18.591043
media type: image/jpeg

File download
type: Distribution
description: File download link
format: WMS
issued: 2026-04-02T13:23:21.914124
modified: 2026-04-02T13:23:23.063501
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/wms

Electrical conductivity groundwater - Recent past
type: Dataset
description: 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
issued: 2026-04-02T13:20:01.636973
modified: 2026-06-15T01:17:43.766962
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Recent past
keyword: soil_parameters
keyword: Massaciuccoli Lake basin
keyword: Institute of Information Science and Technologies - National Research Council ISTI-CNR

File download
type: Distribution
description: File download link
format: WMS
issued: 2026-04-02T13:21:07.281561
modified: 2026-04-02T13:21:08.433731
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/wms

massaciuccoli:119_climate_interference_by_altitude_2024pr
type: Distribution
description: 119_climate_interference_by_altitude_2024pr
format: WMS
issued: 2026-04-02T13:21:58.075573
modified: 2026-04-02T13:21:59.244648
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

land-instability:Iso_05m(LegendURL)
type: Distribution
format: WMS
issued: 2026-04-02T13:18:25.803429
modified: 2026-04-02T13:18:26.923161
access URL: https://geoserver-itineris-downstream.cloud.d4science.org/geoserver/ows

File download
type: Distribution
description: File download link
format: WMS
issued: 2026-04-02T13:24:35.192784
modified: 2026-04-02T13:24:36.340819
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/wms

Capacity use and fertility - Present
type: Dataset
description: 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
issued: 2026-04-02T13:22:51.909884
modified: 2026-06-15T01:15:21.370373
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Present
keyword: Regione Toscana
keyword: soil_parameters
keyword: Massaciuccoli Lake basin

Template for map
type: Dataset
description: Use this template to describe a static map (eg. PDF or image) or an interactive map (eg. WMC).
issued: 2026-04-02T13:24:40.640316
modified: 2026-06-15T02:30:08.600587
contact point: Organization
  fn: Geonetwork Harvester

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:19:54.342904
modified: 2026-04-02T13:19:55.495924
access URL: https://doi.org/10.2909/7992f641-bf77-47b7-b0c1-74fc832b78b1

IT_LAGOONOFVENICE_PHYTOPLCLASSBIOMASS_2025_V20250806.xlsx.xlsx
type: Distribution
description: IT_LAGOONOFVENICE_PHYTOPLCLASSBIOMASS_2025_V20250806.xlsx (Hosted Document Format)
issued: 2026-06-13T00:30:31.613855
modified: 2026-06-13T00:30:32.767460
access URL: https://dataregistry.lteritalia.it/documents/171/download

land-instability:Contour_Passo_della_Morte (LegendURL)
type: Distribution
format: WMS
issued: 2026-04-02T13:18:45.838357
modified: 2026-04-02T13:18:46.964327
access URL: https://geoserver-itineris-downstream.cloud.d4science.org/geoserver/ows

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:23:21.914126
modified: 2026-04-02T13:23:23.063584
access URL: https://doi.org/10.5281/zenodo.8380273

land-instability:ZondAeroLF_Verteglia
type: Distribution
description: ZondAeroLF_Verteglia
format: WMS
issued: 2026-04-02T13:18:32.459736
modified: 2026-04-02T13:18:33.596200
access URL: https://geoserver-itineris-downstream.cloud.d4science.org/geoserver/ows

Number of species cumulative reptiles amphibians - Remote Future/RCP4.5
type: Dataset
description: 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
issued: 2026-04-02T13:19:44.883440
modified: 2026-06-15T01:18:39.082643
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: biodiversity
keyword: Institute of Information Science and Technologies - National Research Council ISTI-CNR
keyword: Massaciuccoli Lake basin
keyword: Remote Future RCP4.5

land-instability:monitoring_landslide_FVG (LegendURL)
type: Distribution
description: Legend
format: WMS
issued: 2026-04-02T13:18:39.191846
modified: 2026-04-02T13:18:40.313141
access URL: https://geoserver-itineris-downstream.cloud.d4science.org/geoserver/ows

Precipitation cumulative - Remote Future/RCP8.5
type: Dataset
description: 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
issued: 2026-04-02T13:23:36.536970
modified: 2026-06-15T01:19:26.027084
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: climatic_parameters
keyword: Massaciuccoli Lake basin
keyword: Remote Future RCP8.5
keyword: Institute of Information Science and Technologies - National Research Council ISTI-CNR

centroid_lter_italy_ver2.pdf
type: Distribution
description: LTER-Italy sites' centroid (PDF Format)
format: WMS
issued: 2026-06-01T22:15:11.743694
modified: 2026-06-01T22:15:13.437498
access URL: https://dataregistry.lteritalia.it/geoserver/ows

land-instability:EUROFLEETS2-BURSTER
type: Distribution
description: EUROFLEETS2-BURSTER
format: WMS
issued: 2026-04-02T13:18:19.060840
modified: 2026-04-02T13:18:20.193404
access URL: https://geoserver-itineris-downstream.cloud.d4science.org/geoserver/ows

Critical Zone Observatory in Nivolet: Accumulation chambers n.1 and n.2
type: Dataset
description: This dataset presents georeferenced measurements collected at the Nivolet Plain in Gran Paradiso National Park (GPNP), western Italian Alps 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.1 is a dark chamber and measures the ecosystem respiration while chamber n.2 is a transparent chamber and measures the NEE. The difference between the flux measured by chamber n.2 and that measured by chamber n.1 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 evapotranspiration 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.
issued: 2026-04-02T13:21:50.332265
modified: 2026-06-15T01:18:47.686849
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Carbon Footprinting
keyword: Carbon dioxide fluxes
keyword: Gran Paradiso National Park
keyword: Critical Zone
keyword: CO2 fluxes
keyword: accumulation chamber
keyword: CZ
keyword: Nivolet
keyword: Graian Alps
keyword: Italian Alps

File download
type: Distribution
description: File download link
format: WFS
issued: 2026-04-02T13:23:34.809857
modified: 2026-04-02T13:23:35.972453
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/ows

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:21:21.781515
modified: 2026-04-02T13:21:22.930776
access URL: https://doi.org/10.5281/zenodo.8380273

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:22:15.135163
modified: 2026-04-02T13:22:16.283092
access URL: https://doi.org/10.5281/zenodo.8380273

File download
type: Distribution
description: File download link
format: WMS
issued: 2026-04-02T13:23:44.287872
modified: 2026-04-02T13:23:45.437709
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/wms

geonode:centroid_lter_italy_ver2
type: Distribution
description: geonode Service - Provides Layer: LTER-Italy sites' centroid
format: WFS
issued: 2026-06-01T22:15:11.743709
modified: 2026-06-01T22:15:13.438235
access URL: https://dataregistry.lteritalia.it/geoserver/ows

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:23:34.809859
modified: 2026-04-02T13:23:35.972537
access URL: https://dati.toscana.it/dataset/dbped

Nivolet chamber n.1
type: Distribution
issued: 2026-04-02T13:21:50.505773
modified: 2026-04-02T13:21:51.642717
access URL: https://data.d4science.net/yt5w

Number of species cumulative mammals - Remote Future/RCP8.5
type: Dataset
description: 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
issued: 2026-04-02T13:21:30.740659
modified: 2026-06-15T01:19:34.629949
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Institute of Information Science and Technologies - National Research Council ISTI-CNR
keyword: Remote Future RCP8.5
keyword: Massaciuccoli Lake basin
keyword: biodiversity

DSM Passo della Morte
type: Dataset
description: 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.
issued: 2026-04-02T13:18:47.531327
modified: 2026-06-15T01:02:58.673612
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: WCS
keyword: DSM_Passo_della_Morte
keyword: GeoTIFF

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:19:34.159372
modified: 2026-04-02T13:19:35.303662
access URL: https://doi.org/10.2909/60639d5b-9164-4135-ae93-fb4132bb6d83

massaciuccoli:069_number_species_cum_mammals_2024pr
type: Distribution
description: 069_number_species_cum_mammals_2024pr
format: WMS
issued: 2026-04-02T13:20:38.974129
modified: 2026-04-02T13:20:40.141415
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

Number of species cumulative reptiles amphibians - Remote past
type: Dataset
description: 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
issued: 2026-04-02T13:23:21.742130
modified: 2026-06-15T01:17:57.168089
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Institute of Information Science and Technologies - National Research Council ISTI-CNR
keyword: Remote past
keyword: Massaciuccoli Lake basin
keyword: biodiversity

massaciuccoli:110_pebbles_stones_in_superface_2024pr
type: Distribution
description: 110_pebbles_stones_in_superface_2024pr
format: WMS
issued: 2026-04-02T13:20:25.671465
modified: 2026-04-02T13:20:26.823530
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

massaciuccoli:063_temperatures_avg_2050nf_rcp45
type: Distribution
description: 063_temperatures_avg_2050nf_rcp45
format: WMS
issued: 2026-04-02T13:24:37.125507
modified: 2026-04-02T13:24:38.275237
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

Number of species cumulative birds - Remote past
type: Dataset
description: 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
issued: 2026-04-02T13:20:07.090668
modified: 2026-06-15T01:19:06.106569
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Massaciuccoli Lake basin
keyword: Remote past
keyword: biodiversity
keyword: Institute of Information Science and Technologies - National Research Council ISTI-CNR

File download
type: Distribution
description: File download link
format: WMS
issued: 2026-04-02T13:20:52.345870
modified: 2026-04-02T13:20:53.496925
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/wms

land-instability:EGLACOM(IPY-OGS) (LegendURL)
type: Distribution
format: WMS
issued: 2026-04-02T13:18:42.513912
modified: 2026-04-02T13:18:43.640329
access URL: https://geoserver-itineris-downstream.cloud.d4science.org/geoserver/ows

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:23:20.006501
modified: 2026-04-02T13:23:21.173962
access URL: https://doi.org/10.5281/zenodo.8380273

land-instability:hillshade_landslide_FVG (LegendURL)
type: Distribution
format: WMS
issued: 2026-04-02T13:18:17.355522
modified: 2026-04-02T13:18:18.479991
access URL: https://geoserver-itineris-downstream.cloud.d4science.org/geoserver/ows

land-instability: Legend Measurement_points
type: Distribution
description: Legend Measurement_points
format: WMS
issued: 2026-04-02T13:18:57.710755
modified: 2026-04-02T13:18:59.022612
access URL: https://geoserver-itineris-downstream.cloud.d4science.org/geoserver/ows

centroid_lter_italy_ver2.zip
type: Distribution
description: LTER-Italy sites' centroid (Zipped Shapefile Format)
format: WFS
issued: 2026-06-01T22:15:11.743697
modified: 2026-06-01T22:15:13.437649
access URL: https://dataregistry.lteritalia.it/geoserver/ows

Landslides - Present
type: Dataset
description: 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
issued: 2026-04-02T13:20:27.374759
modified: 2026-06-15T01:16:56.886290
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Regione Toscana
keyword: soil_parameters
keyword: Massaciuccoli Lake basin
keyword: Present

Biosphere-atmosphere exchange fluxes for CO2 from the Vegetation Photosynthesis and Respiration Model VPRM
type: Distribution
description: File access and download link
format: WMS
issued: 2026-04-02T13:25:07.481222
modified: 2026-04-02T13:25:08.615146
access URL: https://geoserver-itineris-carbon.cloud.d4science.org/geoserver/VPRM_ECMFW_RESP/wms

File download
type: Distribution
description: File download link
format: WMS
issued: 2026-04-02T13:24:31.443754
modified: 2026-04-02T13:24:32.592835
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/wms

File download
type: Distribution
description: File download link
format: WMS
issued: 2026-04-02T13:22:15.135161
modified: 2026-04-02T13:22:16.283009
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/wms

RESP_VPRM_ECMFW_2011
type: Distribution
description: RESP_VPRM_ECMFW_2011
format: WMS
issued: 2026-04-02T13:25:39.743794
modified: 2026-04-02T13:25:40.883628
access URL: https://geoserver-itineris-carbon.cloud.d4science.org/geoserver/wms

massaciuccoli:034_plant_phenology_index_season_length_2024pr
type: Distribution
description: 034_plant_phenology_index_season_length_2024pr
format: WMS
issued: 2026-04-02T13:20:46.629992
modified: 2026-04-02T13:20:47.783037
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

Chamber_n4
type: Distribution
description: Chamber n.4 is a transparent chamber and measures the NEE
issued: 2026-04-02T13:21:09.011050
modified: 2026-04-02T13:21:10.139039
access URL: https://doi.org/10.5281/zenodo.14677987

Water wetness status - Present
type: Dataset
description: Provides at pan-European level in the spatial resolution of 10 m (year 2018), 20 m and 100 m the occurrence of water and wet surfaces over the period from 2009 to 2015 and from 2012 to 2018. 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
issued: 2026-04-02T13:19:54.175069
modified: 2026-06-15T01:15:33.050931
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Copernicus Land Monitoring Service CLMS
keyword: Massaciuccoli Lake basin
keyword: land_use_and_cover
keyword: Present

massaciuccoli:059_precipitation_cum_relative_change_2050nf_rcp26
type: Distribution
description: 059_precipitation_cum_relative_change_2050nf_rcp26
format: WMS
issued: 2026-04-02T13:23:05.181199
modified: 2026-04-02T13:23:06.344649
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

CNR metadata
type: Distribution
description: JSON information about this record
issued: 2026-06-13T00:30:31.613853
modified: 2026-06-13T00:30:32.767375
access URL: https://dataregistry.lteritalia.it/api/v2/cnr/0cf60556-15ab-4e49-8ec3-74927a32d19b

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:20:52.345872
modified: 2026-04-02T13:20:53.497010
access URL: https://doi.org/10.2909/cd534ebf-f553-42f0-9ac1-62c1dc36d32c

File download
type: Distribution
description: File download link
format: WMS
issued: 2026-04-02T13:22:13.246590
modified: 2026-04-02T13:22:14.395983
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/wms

massaciuccoli:011_grassland_2024pr
type: Distribution
description: 011_grassland_2024pr
format: WMS
issued: 2026-04-02T13:19:34.159366
modified: 2026-04-02T13:19:35.303465
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

Vegetation Photosynthesis and Respiration Model. Ecosystem Respiration. Year 2009
type: Dataset
description: 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.
issued: 2026-04-02T13:25:24.106066
modified: 2026-06-15T02:30:25.751490
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Carbon balance
keyword: monthly
keyword: Italy
keyword: 2009
keyword: Ecosystem Respiration
keyword: Carbon cycle

Crop plans cultivated species - Present
type: Dataset
description: The Graphical Cultivation Plan (PCG) is the tool through which farms have geographically identified the polygons corresponding to the expected crops on the farm for which to apply for economic subsidies. Unit: Classes. Original data authority: 'ART€A'. Original data coverage: 'Pisa procince, Lucca procince'. Original data resolution: 4.50E-06 deg. Years taken from the original data: 2016, 2017, 2018,2019, 2020, 2021,2022, 2023. Original time-resolution: 1-yearly. Original data FAIRness score: 8.5. 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
issued: 2026-04-02T13:19:30.244816
modified: 2026-06-15T01:17:15.010687
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: land_use_and_cover
keyword: Massaciuccoli Lake basin
keyword: ART A
keyword: Present

Levionaz_2022-2025.csv
type: Distribution
issued: 2026-04-02T13:20:16.615683
modified: 2026-04-02T13:20:17.727385
access URL: https://data.d4science.net/dQeyh

Grassland - Present
type: Dataset
description: 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
issued: 2026-04-02T13:19:33.925791
modified: 2026-06-15T01:16:20.195692
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Copernicus Land Monitoring Service CLMS
keyword: land_use_and_cover
keyword: Massaciuccoli Lake basin
keyword: Present

centroid_lter_italy_ver2.png
type: Distribution
description: LTER-Italy sites' centroid (Legend Format)
format: WMS
issued: 2026-06-01T22:15:11.743693
modified: 2026-06-01T22:15:13.437420
access URL: https://dataregistry.lteritalia.it/geoserver/ows

Digital terrain model orographic - Recent past
type: Dataset
description: 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
issued: 2026-04-02T13:21:03.341264
modified: 2026-06-15T01:16:51.344777
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Massaciuccoli Lake basin
keyword: morphology
keyword: Regione Toscana
keyword: Recent past

RESP_VPRM_ECMFW_2013
type: Distribution
description: RESP_VPRM_ECMFW_2013
format: WMS
issued: 2026-04-02T13:24:47.269850
modified: 2026-04-02T13:24:48.396297
access URL: https://geoserver-itineris-carbon.cloud.d4science.org/geoserver/wms

Biosphere-atmosphere exchange fluxes for CO2 from the Vegetation Photosynthesis and Respiration Model VPRM
type: Distribution
description: File access and download link
format: WMS
issued: 2026-04-02T13:24:47.269854
modified: 2026-04-02T13:24:48.396410
access URL: https://geoserver-itineris-carbon.cloud.d4science.org/geoserver/VPRM_ECMFW_RESP/wms

LTER-Italy sites' centroid
type: Dataset
description: LTER-Italy sites' centroid
issued: 2026-06-01T22:15:11.417027
modified: 2026-06-15T01:02:38.182657
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: LTER-IT
keyword: LTER
keyword: Sites

Biosphere-atmosphere exchange fluxes for CO2 from the Vegetation Photosynthesis and Respiration Model VPRM
type: Distribution
description: File access and download link
format: WMS
issued: 2026-04-02T13:25:02.381840
modified: 2026-04-02T13:25:03.518999
access URL: https://geoserver-itineris-carbon.cloud.d4science.org/geoserver/VPRM_ECMFW_NEE/wms

land-instability:monitoring_landslide_FVG
type: Distribution
description: monitoring_landslide_FVG
format: WMS
issued: 2026-04-02T13:18:39.191842
modified: 2026-04-02T13:18:40.313030
access URL: https://geoserver-itineris-downstream.cloud.d4science.org/geoserver/ows

land-instability:hillshade_landslide_FVG
type: Distribution
description: hillshade_landslide_FVG
format: WMS
issued: 2026-04-02T13:18:17.355518
modified: 2026-04-02T13:18:18.479878
access URL: https://geoserver-itineris-downstream.cloud.d4science.org/geoserver/ows

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:19:30.417044
modified: 2026-04-02T13:19:31.569277
access URL: https://dati.toscana.it/dataset/artea-piani-colturali-grafici-2022/resource/c465e4d3-7786-4401-abb5-e2a46a317b0a

Monitoring landslide FVG
type: Dataset
description: Passo della Morte is located near the village of Forni di Sotto in the province of Udine. Passo della Morte was one of the first sites to be monitored under the ITINERIS project. The site was chosen because the area is subject to frequent rock collapses, which led in recent years to the closure of the tunnel and the subsequent construction of an upstream by-pass. This intervention was not the only one in the area. Cross-slope drainage systems were constructed to limit the presence of water and interstitial pressures in the rock. However, the landslide material, according to recent studies, falling back into the underlying Tagliamento River could cause damming causing further problems downstream. At the road route leading to forni di Sotto - Udine, there are three ground instabilities that resulted in the construction of a by-pass and various other mitigation works. For the project, some monitoring systems were included for possible rock collapse that could result in damming of the underlying watercourse and consequent formation of a damming lake. The landslide types that are currently surveyed are two areas subject to widespread collapse and overturning (where monitoring systems have been included) and one area subject to rotational/translational sliding (easternmost landslide). For more information descriptions please refer to: https://beta.idrogeo.isprambiente.it/app/iffi@=41.55172525858242,12.573501484000001,0. For more information regarding data acquired from monitoring systems, we refer to the site, for consultation and interrogation of time series from GPS systems, inclinometers, points of interest extracted from GB-Insar: https://land-instability-itineris-2.streamlit.app/?page=Home 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.
issued: 2026-04-02T13:18:39.034340
modified: 2026-06-15T01:03:23.799032
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Monitoring landslide FVG
keyword: features

Chamber_n2
type: Distribution
description: Chamber n.2 is a transparent chamber and measures the NEE
issued: 2026-04-02T13:23:25.595729
modified: 2026-04-02T13:23:26.724618
access URL: https://zenodo.org/records/14192107

centroid_lter_italy_ver2.excel
type: Distribution
description: LTER-Italy sites' centroid (Excel Format)
format: WFS
issued: 2026-06-01T22:15:11.743703
modified: 2026-06-01T22:15:13.437944
access URL: https://dataregistry.lteritalia.it/geoserver/ows

File download
type: Distribution
description: File download link
format: WMS
issued: 2026-04-02T13:22:22.666878
modified: 2026-04-02T13:22:23.818803
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/wms

Geology Friuli Venezia Giulia
type: Dataset
description: 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.
issued: 2026-04-02T13:18:20.573581
modified: 2026-06-15T01:03:02.716295
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Geology
keyword: features

massaciuccoli:071_number_species_cum_others_2024pr
type: Distribution
description: 071_number_species_cum_others_2024pr
format: WMS
issued: 2026-04-02T13:23:20.006495
modified: 2026-04-02T13:23:21.173764
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:23:05.181204
modified: 2026-04-02T13:23:06.344850
access URL: https://cds.climate.copernicus.eu/cdsapp

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:21:07.281563
modified: 2026-04-02T13:21:08.433814
access URL: https://doi.org/10.5281/zenodo.8380273

land-instability:Contour_Passo_della_Morte
type: Distribution
description: Contour_Passo_della_Morte
format: WMS
issued: 2026-04-02T13:18:45.838353
modified: 2026-04-02T13:18:46.964191
access URL: https://geoserver-itineris-downstream.cloud.d4science.org/geoserver/ows

CyGNNS Pantropical Aboveground Biomass
type: Dataset
description: 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.
issued: 2026-04-02T13:25:19.010304
modified: 2026-06-15T02:31:03.695816
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: CyGNNS
keyword: 2020
keyword: yearly
keyword: Pantropical
keyword: Aboveground Biomass

massaciuccoli:063_temperatures_avg_2000np
type: Distribution
description: 063_temperatures_avg_2000np
format: WMS
issued: 2026-04-02T13:21:46.864318
modified: 2026-04-02T13:21:48.018277
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:19:45.059607
modified: 2026-04-02T13:19:46.210293
access URL: https://doi.org/10.5281/zenodo.8380273

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:20:46.629998
modified: 2026-04-02T13:20:47.783234
access URL: https://doi.org/10.2909/430c008c-7298-473e-a4b0-7c0a287446a6

https://catalogue.itineris.cnr.it/catalog/catalog.jsonld
type: PagedCollection
items per page: 100
last: https://catalogue.itineris.cnr.it/catalog/catalog.jsonld
last page: https://catalogue.itineris.cnr.it/catalog/catalog.jsonld
next: https://catalogue.itineris.cnr.it/catalog/catalog.jsonld
next page: https://catalogue.itineris.cnr.it/catalog/catalog.jsonld
total items: 40939

Unnamed resource
type: Distribution
description: Online link to the 'IT_LAGUNADICABRAS_NUTRIENTS_2025_V20250731.xlsx' description on GeoNode
issued: 2026-06-13T00:30:29.844076
modified: 2026-06-13T00:30:31.026933
access URL: https://dataregistry.lteritalia.it/catalogue/uuid/14364cc5-2c62-4fac-a8d0-492d818ea894

Precipitation cumulative relative change - Near Future/RCP8.5
type: Dataset
description: 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
issued: 2026-04-02T13:19:57.831085
modified: 2026-06-15T01:19:17.375879
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: climatic_parameters
keyword: Massaciuccoli Lake basin
keyword: Near Future RCP8.5
keyword: Copernicus Climate Change Service CCCS

centroid_lter_italy_ver2.json
type: Distribution
description: LTER-Italy sites' centroid (GeoJSON Format)
format: WFS
issued: 2026-06-01T22:15:11.743691
modified: 2026-06-01T22:15:13.437341
access URL: https://dataregistry.lteritalia.it/geoserver/ows

665_St.Meteo_Stazione Meteo _0101_report
type: Distribution
format: CSV
issued: 2026-04-02T13:18:57.710760
modified: 2026-04-02T13:18:59.022853
access URL: https://geonetwork-itineris.cloud.d4science.org/geonetwork/srv/api/records/e5c124ec-3845-45a3-9d74-c7a8bd7ad973/attachments/665_St.Meteo_Stazione%20Meteo%20_0101_report.csv
media type: text/csv

Temperatures average - Present
type: Dataset
description: 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
issued: 2026-04-02T13:22:48.138207
modified: 2026-06-15T01:15:28.723160
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Massaciuccoli Lake basin
keyword: Institute of Information Science and Technologies - National Research Council ISTI-CNR
keyword: Present
keyword: climatic_parameters

Chamber_n2
type: Distribution
description: Chamber n.2 is a transparent chamber and measures the NEE
issued: 2026-04-02T13:19:56.098384
modified: 2026-04-02T13:19:57.229648
access URL: https://doi.org/10.5281/zenodo.18390580

File download
type: Distribution
description: File download link
format: WMS
issued: 2026-04-02T13:21:46.864322
modified: 2026-04-02T13:21:48.018395
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/wms

Unnamed resource
type: Distribution
description: Online link to the 'IT_22_Mar Piccolo of Taranto_ENV_TinyTag_Cimino_2015-2023_V20250729.xlsx' description on GeoNode
issued: 2026-06-13T00:30:37.018620
modified: 2026-06-13T00:30:38.167375
access URL: https://dataregistry.lteritalia.it/catalogue/uuid/1835d7ed-43c8-4753-ac17-faf1e9fc0bdb

Unnamed resource
type: Distribution
description: File access and download link
format: WMS
issued: 2026-04-02T13:25:17.516282
modified: 2026-04-02T13:25:18.643818
access URL: https://geoserver-itineris-carbon.cloud.d4science.org/geoserver/AGB/wms

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:22:22.666880
modified: 2026-04-02T13:22:23.818897
access URL: https://doi.org/10.5281/zenodo.8380273

Pebbles stones in superface - Present
type: Dataset
description: 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
issued: 2026-04-02T13:20:25.499670
modified: 2026-06-15T01:19:11.803534
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: soil_parameters
keyword: Massaciuccoli Lake basin
keyword: Present
keyword: Regione Toscana

Line_ERT3
type: Dataset
description: ERT acquisition lines with 5-meter electrode spacing. Made using Syscal Terra (Iris Instr.). This dataset was produced by CNR-IMAA 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. All the Project data can be downloaded from Zenodo at https://zenodo.org/records/11236772
issued: 2026-04-02T13:19:01.257304
modified: 2026-06-15T01:03:17.182236
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: features

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:20:22.175785
modified: 2026-04-02T13:20:23.322025
access URL: https://doi.org/10.2909/2afca4ec-76e2-4155-b4e6-7460f9f6ae01

Vegetation Photosynthesis and Respiration Model. Ecosystem Respiration. Year 2013
type: Dataset
description: 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.
issued: 2026-04-02T13:24:47.102315
modified: 2026-06-15T02:31:18.120815
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: monthly
keyword: 2013
keyword: Italy
keyword: Ecosystem Respiration
keyword: Carbon cycle
keyword: Carbon balance

File download
type: Distribution
description: File download link
format: WMS
issued: 2026-04-02T13:19:34.159370
modified: 2026-04-02T13:19:35.303579
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/wms

CNR metadata
type: Distribution
description: JSON information about this record
issued: 2026-06-01T22:15:11.743688
modified: 2026-06-01T22:15:13.437157
access URL: https://dataregistry.lteritalia.it/api/v2/cnr/412c0c6f-76cf-4143-8367-bc4b34e08481

Plant phenology index season length - Present
type: Dataset
description: Provides the number of days between the start and end dates of the vegetation growing season in the time profile of the Plant Phenology Index. The data at pan-European level are updated in the first quarter of each year. Unit: Days. 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
issued: 2026-04-02T13:20:46.439513
modified: 2026-06-15T01:18:29.021005
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Copernicus Land Monitoring Service CLMS
keyword: vegetative_season
keyword: Massaciuccoli Lake basin
keyword: Present

massaciuccoli:083_waterways_drainage_canals_2000np
type: Distribution
description: 083_waterways_drainage_canals_2000np
format: WMS
issued: 2026-04-02T13:20:50.464185
modified: 2026-04-02T13:20:51.610769
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

Chamber_n1
type: Distribution
description: chamber n.1 is a dark chamber and measures the ecosystem respiration
issued: 2026-04-02T13:23:25.595725
modified: 2026-04-02T13:23:26.724508
access URL: https://zenodo.org/records/14192107

Nivolet chamber n.4
type: Distribution
issued: 2026-04-02T13:21:44.962761
modified: 2026-04-02T13:21:46.094158
access URL: https://itineris.d4science.org/group/itineris-gateway/workspace

Hillshade landslide FVG
type: Dataset
description: 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.
issued: 2026-04-02T13:18:17.187216
modified: 2026-06-15T01:03:00.014528
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: GeoTIFF
keyword: hillshade
keyword: raster

Biosphere-atmosphere exchange fluxes for CO2 from the Vegetation Photosynthesis and Respiration Model VPRM
type: Distribution
description: File access and download link
format: WMS
issued: 2026-04-02T13:25:14.169903
modified: 2026-04-02T13:25:15.297889
access URL: https://geoserver-itineris-carbon.cloud.d4science.org/geoserver/VPRM_ECMFW_RESP/wms

2022_Magnani_et_al_fluxes-meteoclimate-NyAlesund.csv
type: Distribution
description: 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
issued: 2026-04-02T13:22:55.906164
modified: 2026-04-02T13:22:57.024903
access URL: https://data.d4science.net/wH8w

File download
type: Distribution
description: File download link
format: WFS
issued: 2026-04-02T13:21:58.075578
modified: 2026-04-02T13:21:59.244762
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/ows

Critical Zone Observatory in Pianosa Island: Accumulation chambers n.1 and n.2 (27/03/2023-03/04/2024)
type: Dataset
description: The installed instrumentation allows CO2 flux measurements from soil (emission and absorption/uptake) by non-steady state closed dynamic Accumulation Chambers (AC). The aim is to understand if the NEE (Net Ecosystem Exchange) is increasing or decreasing and which parameters most affect this important index. Moreover, the NEE parameter is extremely useful in climate models. In particular, chamber n.1 is a dark chamber and measures the ecosystem respiration, while chamber n.2 is a transparent chamber and measures the NEE. The difference between the flux measured by chamber n.2 and that measured by chamber n.1 allows to calculate the GPP (Gross Primary Production). Chamber n.2 is specifically designed to measure Photosynthetically Active Radiation (PAR), which represents the portion of electromagnetic radiation that plants use as an energy source for photosynthesis, and thus it is a crucial factor for plant productivity. Additionally, chamber n.2 is connected to a fluxmeter equipped with a sensor designed to measure H2O fluxes. 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. (2024). Critical Zone Observatory in Pianosa Island: Accumulation chambers n.1 and n.2 (27/03/2023-03/04/2024) (Versione V1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.14192107
issued: 2026-04-02T13:23:25.421888
modified: 2026-06-15T01:17:13.590809
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Carbon Footprinting
keyword: Pianosa Island
keyword: Italy
keyword: CO2 fluxes
keyword: Mediterranean Island
keyword: accumulation chamber
keyword: CZ
keyword: Critical Zone
keyword: CO2 flux
keyword: Pianosa Island Mediterranean Island

File download
type: Distribution
description: File download link
format: WFS
issued: 2026-04-02T13:23:50.284230
modified: 2026-04-02T13:23:51.434811
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/ows

massaciuccoli:130_digital_terrain_model_orographic_2000np
type: Distribution
description: 130_digital_terrain_model_orographic_2000np
format: WMS
issued: 2026-04-02T13:21:03.517675
modified: 2026-04-02T13:21:04.678554
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

Number of species cumulative others - Recent past
type: Dataset
description: 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
issued: 2026-04-02T13:21:19.672315
modified: 2026-06-15T01:17:02.605556
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Massaciuccoli Lake basin
keyword: Recent past
keyword: biodiversity
keyword: Institute of Information Science and Technologies - National Research Council ISTI-CNR

Chemical fertility of surface horizon - Present
type: Dataset
description: Chemical fertility of the surface horizon 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
issued: 2026-04-02T13:19:13.843115
modified: 2026-06-15T01:17:36.355218
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Regione Toscana
keyword: soil_parameters
keyword: Massaciuccoli Lake basin
keyword: Present

massaciuccoli:070_number_species_cum_reptiles_amphibians_1950fp
type: Distribution
description: 070_number_species_cum_reptiles_amphibians_1950fp
format: WMS
issued: 2026-04-02T13:23:21.914120
modified: 2026-04-02T13:23:23.063386
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

CNR metadata
type: Distribution
description: JSON information about this record
issued: 2026-06-13T00:30:37.018625
modified: 2026-06-13T00:30:38.167485
access URL: https://dataregistry.lteritalia.it/api/v2/cnr/1835d7ed-43c8-4753-ac17-faf1e9fc0bdb

File download
type: Distribution
description: File download link
format: WFS
issued: 2026-04-02T13:22:34.088054
modified: 2026-04-02T13:22:35.237917
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/ows

Unnamed resource
type: Distribution
description: Online link to the 'IT_LAGOONOFVENICE_PHYTOPLCLASSBIOMASS_2025_V20250806.xlsx' description on GeoNode
issued: 2026-06-13T00:30:31.613849
modified: 2026-06-13T00:30:32.767239
access URL: https://dataregistry.lteritalia.it/catalogue/uuid/0cf60556-15ab-4e49-8ec3-74927a32d19b

Ortophoto Passo della Morte
type: Dataset
description: Ortophoto Passo della Morte 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.
issued: 2026-04-02T13:18:10.512115
modified: 2026-06-15T01:02:57.128770
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Ortophoto
keyword: GeoTIFF
keyword: WCS

massaciuccoli:068_number_species_cum_insects_clams_2050nf_rcp85
type: Distribution
description: 068_number_species_cum_insects_clams_2050nf_rcp85
format: WMS
issued: 2026-04-02T13:23:40.554939
modified: 2026-04-02T13:23:41.707849
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

Climate interference by water deficit - Present
type: Dataset
description: Climate interference by water deficit 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
issued: 2026-04-02T13:23:34.636640
modified: 2026-06-15T01:17:19.213933
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Regione Toscana
keyword: soil_parameters
keyword: Massaciuccoli Lake basin
keyword: Present

land-instability:DASnodes-CRS (LegendURL)
type: Distribution
format: WMS
issued: 2026-04-02T13:18:14.008330
modified: 2026-04-02T13:18:15.129864
access URL: https://geoserver-itineris-downstream.cloud.d4science.org/geoserver/ows

Climate interference by altitude - Present
type: Dataset
description: Climate interference by altitude 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
issued: 2026-04-02T13:21:57.911056
modified: 2026-06-15T01:18:33.270683
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Regione Toscana
keyword: soil_parameters
keyword: Massaciuccoli Lake basin
keyword: Present

Land use and cover nature 2000 - Recent past
type: Dataset
description: 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
issued: 2026-04-02T13:23:50.112462
modified: 2026-06-15T01:19:20.292673
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: Copernicus Land Monitoring Service CLMS
keyword: Recent past
keyword: land_use_and_cover
keyword: Massaciuccoli Lake basin

File download
type: Distribution
description: File download link
format: WMS
issued: 2026-04-02T13:23:20.006499
modified: 2026-04-02T13:23:21.173877
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/wms

Contour lines Tito landslide
type: Dataset
description: Contour lines at 0.5 meters associated with the DEM This dataset was produced by CNR-IMAA 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.
issued: 2026-04-02T13:18:25.652634
modified: 2026-06-15T01:03:06.613913
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: features

File download
type: Distribution
description: File download link
format: WFS
issued: 2026-04-02T13:19:30.417042
modified: 2026-04-02T13:19:31.569172
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/ows

massaciuccoli:004_land_imperviousness_density_classified_change_2024pr
type: Distribution
description: 004_land_imperviousness_density_classified_change_2024pr
format: WMS
issued: 2026-04-02T13:20:10.976941
modified: 2026-04-02T13:20:12.123122
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

Critical Zone Observatory in Pianosa Island: meteorological data (27/03/2023-03/04/2024)
type: Dataset
description: 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
issued: 2026-04-02T13:19:21.206798
modified: 2026-06-15T01:16:31.273087
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: wind direction
keyword: CZ
keyword: Pianosa Island
keyword: Italy
keyword: Critical Zone
keyword: air humidity
keyword: rain gauge
keyword: Mediterranean Island
keyword: Pianosa Island Mediterranean Island
keyword: atmospheric pressure
keyword: meteorolgical data

Landslide classification
type: Distribution
description: Legend
format: WMS
issued: 2026-04-02T13:18:12.380889
modified: 2026-04-02T13:18:13.505167
access URL: https://geoserver-itineris-downstream.cloud.d4science.org/geoserver/ows

File download
type: Distribution
description: File download link
format: WMS
issued: 2026-04-02T13:23:59.578229
modified: 2026-04-02T13:24:00.732266
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/wms

massaciuccoli:020_land_use_and_cover_riparian_zones_change_2024pr
type: Distribution
description: 020_land_use_and_cover_riparian_zones_change_2024pr
format: WMS
issued: 2026-04-02T13:19:05.008535
modified: 2026-04-02T13:19:06.156266
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

CyGNNS Pantropical Aboveground Biomass
type: Distribution
description: CyGNNS Pantropical Aboveground Biomass
format: WMS
issued: 2026-04-02T13:25:19.252010
modified: 2026-04-02T13:25:20.371218
access URL: https://geoserver-itineris-carbon.cloud.d4science.org/geoserver/wms

File download
type: Distribution
description: File download link
format: WFS
issued: 2026-04-02T13:20:50.464189
modified: 2026-04-02T13:20:51.610881
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/massaciuccoli/ows

land-instability:DSM_Passo_della_Morte (LegendURL)
type: Distribution
format: WMS
issued: 2026-04-02T13:18:47.691603
modified: 2026-04-02T13:18:48.827802
access URL: https://geoserver-itineris-downstream.cloud.d4science.org/geoserver/land-instability/wms

IT16_LagoonOfVenice_feb2026-mar2026_AlgaeLabAnalyser_V20260409.xlsx.xlsx
type: Distribution
description: IT16_LagoonOfVenice_feb2026-mar2026_AlgaeLabAnalyser_V20260409.xlsx (Hosted Document Format)
issued: 2026-04-25T16:15:17.255111
modified: 2026-04-25T16:15:18.590962
access URL: https://dataregistry.lteritalia.it/documents/272/download

massaciuccoli:017_land_use_and_cover_nature_2k_2000np
type: Distribution
description: 017_land_use_and_cover_nature_2k_2000np
format: WMS
issued: 2026-04-02T13:23:50.284226
modified: 2026-04-02T13:23:51.434699
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

Primary source
type: Distribution
description: Primary source
issued: 2026-04-02T13:24:31.443756
modified: 2026-04-02T13:24:32.592917
access URL: https://cds.climate.copernicus.eu/cdsapp

Number of species cumulative birds - Remote Future/RCP4.5
type: Dataset
description: 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
issued: 2026-04-02T13:21:21.572674
modified: 2026-06-15T01:19:33.169940
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: biodiversity
keyword: Institute of Information Science and Technologies - National Research Council ISTI-CNR
keyword: Remote Future RCP4.5
keyword: Massaciuccoli Lake basin

Critical Zone Observatory in Pianosa Island: Accumulation chambers n.3 and n.4 (27/03/2023-03/04/2024)
type: Dataset
description: 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
issued: 2026-04-02T13:21:08.847431
modified: 2026-06-15T01:16:21.488377
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: CO2 fluxes
keyword: Mediterranean Island
keyword: accumulation chamber
keyword: CZ
keyword: Pianosa Island Mediterranean Island
keyword: CO2 flux
keyword: Carbon Footprinting
keyword: Pianosa Island
keyword: Italy
keyword: Critical Zone

centroid_lter_italy_ver2.gml
type: Distribution
description: LTER-Italy sites' centroid (GML 3.1.1 Format)
format: WFS
issued: 2026-06-01T22:15:11.743700
modified: 2026-06-01T22:15:13.437798
access URL: https://dataregistry.lteritalia.it/geoserver/ows

IT_22_Mar Piccolo of Taranto_ENV_TinyTag_Cimino_2015-2023_V20250729.xlsx
type: Dataset
description: 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.
issued: 2026-06-13T00:30:36.781877
modified: 2026-06-15T01:02:30.034374
spatial: Location
contact point: Organization
  fn: Geonetwork Harvester
keyword: temperature
keyword: data logger
keyword: mar piccolo

massaciuccoli:069_number_species_cum_mammals_2000np
type: Distribution
description: 069_number_species_cum_mammals_2000np
format: WMS
issued: 2026-04-02T13:23:59.578224
modified: 2026-04-02T13:24:00.732130
access URL: https://geoserver-itineris-critical-zone.cloud.d4science.org/geoserver/wms

photo3
type: Distribution
description: GB-Insar
format: JPEG
issued: 2026-04-02T13:18:57.710763
modified: 2026-04-02T13:18:59.023004
media type: image/jpeg

land-instability:Line_ERT5 (LegendURL)
type: Distribution
format: WMS
issued: 2026-04-02T13:19:03.066132
modified: 2026-04-02T13:19:04.192477
access URL: https://geoserver-itineris-downstream.cloud.d4science.org/geoserver/ows