cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10043711
title: Net Ecosystem Exchange, Ecosystem Respiration and meteoclimatic data of Alpine grasslands at Nivolet Plain, Gran Paradiso National Park, Italy 2017-2023

description: This dataset presents georeferenced measurements collected at the Nivolet Plain in 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 between 2017 and 2023 at five different sites at an elevation of approximately 2550-2750 meters a.s.l.
To estimate NEE and ER, we employed the flux chamber method, measuring the temporal variation of carbon dioxide (CO2) concentration inside the chamber over a period of about 90 seconds. We used a customized portable non-steady-state dynamic flux chamber, paired with an InfraRed Gas Analyzer (IRGA) and a portable weather station. Measurements were taken at around 20 points per site during the snow-free season, spanning from June to October.
The dataset is provided in a comma-separated text file (.csv) format. Each record corresponds to a single measurement point, with semicolons used as separators. The "NA" notation indicates values that are not available or have been excluded during quality control processes (e.g., due to battery failure). We use point as decimal separator.
The sign convention for the fluxes is: a negative value indicates a CO2 flux from the atmosphere to the ecosystem, while a positive value represents a CO2 flux from the soil/ecosystem to the atmosphere. Consequently, ER values are positive, while NEE values can be positive or negative. The units for NEE and ER fluxes are molCO2 m-2 day-1 and μmolCO2 m-2 second-1. The first values in each record of the dataset indicate the observation details (sampling date, site, etc.), followed by the corresponding measured or calculated variables. NEE and ER values were estimated from the slope of the linear regression of CO2 concentration over time (ppm s-1) using a laboratory calibration curve.
The calibration curve was created by relating known and pre-set CO2 fluxes (within the range expected in the field) with the corresponding measured slopes. The flux values were then scaled up based on the area of the chamber base (0.036 m2) and adjusted using the ratio of atmospheric pressure and air temperature during the measurement to those recorded during the calibration in the laboratory.
DOI: 10.5281/zenodo.10927634
title: Net Ecosystem Exchange, Ecosystem Respiration and meteoclimatic data of Alpine grasslands at Nivolet Plain, Gran Paradiso National Park, Italy 2017-2023

description: This dataset presents georeferenced measurements collected at the Nivolet Plain in 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 between 2017 and 2023 at five different sites at an elevation of approximately 2550-2750 meters a.s.l.

To estimate NEE and ER, we employed the flux chamber method, measuring the temporal variation of carbon dioxide (CO2) concentration inside the chamber over a period of about 90 seconds. We used a customized portable non-steady-state dynamic flux chamber, paired with an InfraRed Gas Analyzer (IRGA) and a portable weather station. Measurements were taken at around 20 points per site during the snow-free season, spanning from June to October.

The dataset is provided in a comma-separated text file (.csv) format. Each record corresponds to a single measurement point, with semicolons used as separators. The "NA" notation indicates values that are not available or have been excluded during quality control processes (e.g., due to battery failure). We use point as decimal separator.

The sign convention for the fluxes is: a negative value indicates a CO2 flux from the atmosphere to the ecosystem, while a positive value represents a CO2 flux from the soil/ecosystem to the atmosphere. Consequently, ER values are positive, while NEE values can be positive or negative. The units for NEE and ER fluxes are molCO2 m-2 day-1 and μmolCO2 m-2 second-1. The first values in each record of the dataset indicate the observation details (sampling date, site, etc.), followed by the corresponding measured or calculated variables. NEE and ER values were estimated from the slope of the linear regression of CO2 concentration over time (ppm s-1) using a laboratory calibration curve.

The calibration curve was created by relating known and pre-set CO2 fluxes (within the range expected in the field) with the corresponding measured slopes. The flux values were then scaled up based on the area of the chamber base (0.036 m2) and adjusted using the ratio of atmospheric pressure and air temperature during the measurement to those recorded during the calibration in the laboratory.
DOI: 10.5281/zenodo.7590917
title: Net Ecosystem Exchange, Ecosystem Respiration and meteoclimatic data of Alpine grasslands at Nivolet Plain, Gran Paradiso National Park, Italy 2017-2023

description: This dataset presents georeferenced measurements collected at the Nivolet Plain in 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 between 2017 and 2023 at five different sites at an elevation of approximately 2550-2750 meters a.s.l.

To estimate NEE and ER, we employed the flux chamber method, measuring the temporal variation of carbon dioxide (CO2) concentration inside the chamber over a period of about 90 seconds. We used a customized portable non-steady-state dynamic flux chamber, paired with an InfraRed Gas Analyzer (IRGA) and a portable weather station. Measurements were taken at around 20 points per site during the snow-free season, spanning from June to October.

The dataset is provided in a comma-separated text file (.csv) format. Each record corresponds to a single measurement point, with semicolons used as separators. The "NA" notation indicates values that are not available or have been excluded during quality control processes (e.g., due to battery failure). We use point as decimal separator.

The sign convention for the fluxes is: a negative value indicates a CO2 flux from the atmosphere to the ecosystem, while a positive value represents a CO2 flux from the soil/ecosystem to the atmosphere. Consequently, ER values are positive, while NEE values can be positive or negative. The units for NEE and ER fluxes are molCO2 m-2 day-1 and μmolCO2 m-2 second-1. The first values in each record of the dataset indicate the observation details (sampling date, site, etc.), followed by the corresponding measured or calculated variables. NEE and ER values were estimated from the slope of the linear regression of CO2 concentration over time (ppm s-1) using a laboratory calibration curve.

The calibration curve was created by relating known and pre-set CO2 fluxes (within the range expected in the field) with the corresponding measured slopes. The flux values were then scaled up based on the area of the chamber base (0.036 m2) and adjusted using the ratio of atmospheric pressure and air temperature during the measurement to those recorded during the calibration in the laboratory.
DOI: 10.5281/zenodo.7590918
title: Net Ecosystem Exchange, Ecosystem Respiration and meteoclimatic data of Alpine grasslands at Nivolet Plain, Gran Paradiso National Park, Italy 2017-2022

description: This dataset presents georeferenced measurements collected at the Nivolet Plain in 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 between 2017 and 2022 at five different sites at an elevation of approximately 2550-2750 meters a.s.l. To estimate NEE and ER, we employed the flux chamber method, measuring the temporal variation of carbon dioxide (CO<sub>2</sub>) concentration inside the chamber over a period of about 90 seconds. We used a customized portable non-steady-state dynamic flux chamber, paired with an InfraRed Gas Analyzer (IRGA) and a portable weather station. Measurements were taken at around 20 points per site during the snow-free season, spanning from June to October. The dataset is provided in a comma-separated text file (.csv) format. Each record corresponds to a single measurement point, with semicolons used as separators. The "NA" notation indicates values that are not available or have been excluded during quality control processes (e.g., due to battery failure). The sign convention for the fluxes is: a negative value indicates a CO<sub>2</sub> flux from the atmosphere to the ecosystem, while a positive value represents a CO<sub>2</sub> flux from the soil/ecosystem to the atmosphere. Consequently, ER values are positive, while NEE values can be positive or negative. The units for NEE and ER fluxes are molCO<sub>2</sub> m<sup>-2</sup> day<sup>-1</sup> and μmolCO<sub>2</sub> m<sup>-2</sup> second<sup>-1</sup>. The first values in each record of the dataset indicate the observation details (sampling date, site, etc.), followed by the corresponding measured or calculated variables. NEE and ER values were estimated from the slope of the linear regression of CO<sub>2 </sub>concentration over time (ppm s<sup>-1</sup>) using a laboratory calibration curve. The calibration curve was created by relating known CO<sub>2</sub> fluxes (within the range expected in the field) with the corresponding measured slopes. The flux values were then scaled up based on the area of the chamber base (0.036 m<sup>2</sup>) and adjusted using the ratio of atmospheric pressure and air temperature during the measurement to those recorded during the calibration in the laboratory.
DOI: 10.5281/zenodo.6459536
title: CO2 Net Ecosystem Exchange (NEE) and Ecosystem Respiration (ER) + meteorological parameters in alpine grasslands at Nivolet Plain, Gran Paradiso National Park, 2021 (IGG-CNR-CZO@NIVOLET)

description: CO2 Net Ecosystem Exchange (NEE) and Ecosystem Respiration (ER) measured at Nivolet Plain, Gran Paradiso National Park, Italy, in a high-altitude Alpine grassland environment (about 2500-2700 m.a.s.l.) using the closed portable flux chamber method during the 2021 vegetative season (July-October), approximately twice a month. NEE is measured with a transparent chamber, while ER with a dark chamber (transparent chamber shaded with a cloth). Data represent the average values and the corresponding standard deviations obtained from five sites at different altitudes and soil substrates. Each average value is obtained as a mean over a set of 20 point-measurements for each site and each sampling date. Flux data are complemented by measurements of soil temperature and soil volumetric water content, air temperature, air RH, and solar radiance.


During the measurement, air is pumped from the chamber to an IR gas analyzer (IRGA) and then injected again in the chamber. The CO2 concentration inside the chamber is measured for about 90 seconds and then the rate of concentration change is linearly interpolated (over 60s) to obtain the flux measurements. A detailed description of the sampling method can be found in Magnani et al. (2020).


Instrumentation used: accumulation chambers (height: 31.5 cm; area of the base: 363 cm2), LI-COR LI-840 & LI-850 IR spectrophotometers, stainless-steel collars (inserted into the soil to a depth of about 1 cm), portable meteorological stations (pyranometer LSI Lastem DPA053, thermohygrometer LSI Lastem DMA672.1), pt100 soil temperature sensors, SM150T soil moisture sensor.
description: Cite as: Mariasilvia Giamberini;  Ilaria Baneschi; Mariavirginia Boiani; Maurizio Catania; Sara Lenzi; Marta Magnani; Angelica Parisi; Maddalena Pennisi; Brunella Raco; Gianna Vivaldo; Antonello Provenzale (2022). CO2 Net Ecosystem Exchange (NEE) and Ecosystem Respiration (ER) + meteorological parameters in alpine grasslands at Nivolet Plain, Gran Paradiso National Park, 2021 (IGG-CNR-CZO@NIVOLET [Data set]. DOI: 10.5281/zenodo.6459537
DOI: 10.5281/zenodo.6459537
title: CO2 Net Ecosystem Exchange (NEE) and Ecosystem Respiration (ER) + meteorological parameters in alpine grasslands at Nivolet Plain, Gran Paradiso National Park, 2021 (IGG-CNR-CZO@NIVOLET)

description: CO2 Net Ecosystem Exchange (NEE) and Ecosystem Respiration (ER) measured at Nivolet Plain, Gran Paradiso National Park, Italy, in a high-altitude Alpine grassland environment (about 2500-2700 m.a.s.l.) using the closed portable flux chamber method during the 2021 vegetative season (July-October), approximately twice a month. NEE is measured with a transparent chamber, while ER with a dark chamber (transparent chamber shaded with a cloth). Data represent the average values and the corresponding standard deviations obtained from five sites at different altitudes and soil substrates. Each average value is obtained as a mean over a set of 20 point-measurements for each site and each sampling date. Flux data are complemented by measurements of soil temperature and soil volumetric water content, air temperature, air RH, and solar radiance.


During the measurement, air is pumped from the chamber to an IR gas analyzer (IRGA) and then injected again in the chamber. The CO2 concentration inside the chamber is measured for about 90 seconds and then the rate of concentration change is linearly interpolated (over 60s) to obtain the flux measurements. A detailed description of the sampling method can be found in Magnani et al. (2020).


Instrumentation used: accumulation chambers (height: 31.5 cm; area of the base: 363 cm2), LI-COR LI-840 & LI-850 IR spectrophotometers, stainless-steel collars (inserted into the soil to a depth of about 1 cm), portable meteorological stations (pyranometer LSI Lastem DPA053, thermohygrometer LSI Lastem DMA672.1), pt100 soil temperature sensors, SM150T soil moisture sensor.
description: Cite as: Mariasilvia Giamberini;  Ilaria Baneschi; Mariavirginia Boiani; Maurizio Catania; Sara Lenzi; Marta Magnani; Angelica Parisi; Maddalena Pennisi; Brunella Raco; Gianna Vivaldo; Antonello Provenzale (2022). CO2 Net Ecosystem Exchange (NEE) and Ecosystem Respiration (ER) + meteorological parameters in alpine grasslands at Nivolet Plain, Gran Paradiso National Park, 2021 (IGG-CNR-CZO@NIVOLET [Data set]. DOI: 10.5281/zenodo.6459537
DOI: 10.5281/zenodo.6428618
title: Eddy Covariance data from ICOS-associated station IT-NIV at Nivolet Plain, Gran Paradiso National Park, 2020 (IGG-CNR-CZO@NIVOLET)

description: Data stored here refer to Eddy Covariance (EC) data measured at the Alpine CZO (IGG-CNR-CZO@NIVOLET), established in 2019 at the Nivolet Plain (Piani del Nivolet) in the Gran Paradiso National Park (GPNP). The EC tower was installed to deeply study CO2, H20, latent and sensible heat exchanges between soil, vegetation, and atmosphere. 


Carbon dioxide fluxes and environmental variables are recorded to estimate carbon storage and explore CO2 fluxes drivers in high-altitude grasslands.


Measured parameters: Net vertical turbulent CO2 flux (µmol+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. Flux processing software: EddyPro® set to default processing settings. The output variables have a 30-minutes resolution. The uploaded parameters 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-hours averaging period (es. Time T= [Time T; Time T+2h30 min])


Instrumentation: 3-Dimensional Sonic Anemometer (Manufacturer: Gill WindMaster, s.n.: W174606, Firmware: 2329-701-01, Instrument height: 4.485 m, North alignment: SPAR, North offset: 0, Wind data format: u, v, w); Enclosed path CO2/H2O Gas Analyzer (Licor Li7200RS, s.n.: 72H-0947, Firmware: 8.8.28, Tube length: 115.5 cm, Tube diameter: 5.33 cm); Weather station (Thermohygrometer LSI Lastem DMA 672). 


Quality assurance: Mauder and Foken (2004) flagging policy (0-1-2 system). Here, only high quality data are reported (qc=0).
description: Cite as: Gianna Vivaldo, Ilaria Baneschi, Virginia Boiani, Maurizio Catania, Mariasilvia Giamberini, Sara Lenzi, Marta Magnani, Brunella Raco, Angelica Parisi, Maddalena Pennisi, Antonello Provenzale (2022). Eddy Covariance data from ICOS-associated station IT-NIV at Nivolet Plain, Gran Paradiso National Park, 2020 (IGG-CNR-CZO@NIVOLET) (1.0) [Data set]. DOI: 10.5281/zenodo.6428619
DOI: 10.5281/zenodo.6428619
title: Eddy Covariance data from ICOS-associated station IT-NIV at Nivolet Plain, Gran Paradiso National Park, 2020 (IGG-CNR-CZO@NIVOLET)

description: Data stored here refer to Eddy Covariance (EC) data measured at the Alpine CZO (IGG-CNR-CZO@NIVOLET), established in 2019 at the Nivolet Plain (Piani del Nivolet) in the Gran Paradiso National Park (GPNP). The EC tower was installed to deeply study CO2, H20, latent and sensible heat exchanges between soil, vegetation, and atmosphere. 


Carbon dioxide fluxes and environmental variables are recorded to estimate carbon storage and explore CO2 fluxes drivers in high-altitude grasslands.


Measured parameters: Net vertical turbulent CO2 flux (µmol+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. Flux processing software: EddyPro® set to default processing settings. The output variables have a 30-minutes resolution. The uploaded parameters 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-hours averaging period (es. Time T= [Time T; Time T+2h30 min])


Instrumentation: 3-Dimensional Sonic Anemometer (Manufacturer: Gill WindMaster, s.n.: W174606, Firmware: 2329-701-01, Instrument height: 4.485 m, North alignment: SPAR, North offset: 0, Wind data format: u, v, w); Enclosed path CO2/H2O Gas Analyzer (Licor Li7200RS, s.n.: 72H-0947, Firmware: 8.8.28, Tube length: 115.5 cm, Tube diameter: 5.33 cm); Weather station (Thermohygrometer LSI Lastem DMA 672). 


Quality assurance: Mauder and Foken (2004) flagging policy (0-1-2 system). Here, only high quality data are reported (qc=0).
description: Cite as: Gianna Vivaldo, Ilaria Baneschi, Virginia Boiani, Maurizio Catania, Mariasilvia Giamberini, Sara Lenzi, Marta Magnani, Brunella Raco, Angelica Parisi, Maddalena Pennisi, Antonello Provenzale (2022). Eddy Covariance data from ICOS-associated station IT-NIV at Nivolet Plain, Gran Paradiso National Park, 2020 (IGG-CNR-CZO@NIVOLET) (1.0) [Data set]. DOI: 10.5281/zenodo.6428619
DOI: 10.18712/nsd-nsd2459-v2
title: Policing the Illegal Trade in Wildlife, 2015

description: The doctoral dissertation is a study of police activities aimed at illegal trade of endangered species of flora and fauna in Norway and Uganda. The overall issue of the project is how police and customs face the global phenomenon of illegal trade of endangered species, and what challenges does this place on the local police and customs organization? The informants are indirectly recognizable in the interviews through information related to their position, duties and workplace. 

For further information on "Policing the illegal trade in wildlife", please contakt the principal investigator.
DOI: 10.15468/dl.qzqadh
title: Occurrence Download

description: A dataset containing 2474 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aphanamixis polystachya (Wall.) R.Parker"
 ]
}

 The dataset includes 2474 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010134-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b6j7p9
title: Occurrence Download

description: A dataset containing 2212 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Sterna acuticauda J.E.Gray, 1831",
 "Year 2000-2024"
 ]
}

 The dataset includes 2212 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010136-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qyz224
title: Occurrence Download

description: A dataset containing 273518 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Clinopodium vulgare L."
 ]
}

 The dataset includes 273518 records from 1708 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010127-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5u9wwa
title: Occurrence Download

description: A dataset listing the 7752 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-6.4 4.8, -7.4 4.35, -8.25 4.55, -9.4 5.2, -10.2 6.05, -10.7 6.2, -10.95 6.55, -11.4 6.7, -11.35 6.95, -11.1 7.25, -10.6 7.4, -10.55 7.6, -10.05 7.85, -9.85 8.300000000000001, -9.6 8.449999999999999, -9.65 8.6, -9.050000000000001 8.800000000000001, -8.75 8.6, -8.949999999999999 8.25, -8.800000000000001 8, -8.949999999999999 7.9, -8.25 7.45, -8 7.5, -8.050000000000001 7.3, -7.75 7.05, -8.050000000000001 6.65, -7.75 6.65, -7.55 6.3, -6.85 5.95, -6.8 5.5, -6.55 5.45, -6.3 5.1, -6.4 4.8))",
 "HasCoordinate is true",
 "Year is greater than or equal to 1960",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 7752 records were derived from 188 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049882-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a9eezb
title: Occurrence Download

description: A dataset containing 4337 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pueraria montana (Lour.) Merr."
 ]
}

 The dataset includes 4337 records from 147 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003391-150811131857512/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k8uebm
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Macroinvertebrados bentónicos de playas de arena (Monte Hermoso-Pehuen Có, Buenos Aires, Argentina)"
 ]
}

 The dataset includes 55 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0162626-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zkvvrh
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Syagrus menzeliana Noblick & Lorenzi"
 ]
}

 The dataset includes 7 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0195066-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.