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Soil data at station Samoylov (2021)
Understanding permafrost processes and changes requires long-term observational datasets. This dataset is a continuation of the dataset available from the long-term... -
Meteorological and soil data from Bayelva, Svalbard, homogenised data product...
Understanding permafrost processes and their links to polar climate requires long-term observational datasets. This data product is a quality-controlled and homogenised... -
Meteorological and soil data from Bayelva, Svalbard, homogenised data product...
Understanding permafrost processes and their links to polar climate requires long-term observational datasets. This data product is a quality-controlled and homogenised... -
Soil data at station Bayelva (2023, level 1)
Understanding permafrost processes and changes requires long-term observational datasets. This dataset is a continuation of the dataset available from the Bayelva Site at... -
Soil data at station Bayelva (2022, level 1)
Understanding permafrost processes and changes requires long-term observational datasets. This dataset is a continuation of the dataset available from the Bayelva Site at... -
Soil data at station Samoylov (2020)
Understanding permafrost processes and changes requires long-term observational datasets. This dataset is a continuation of the dataset available from the long-term... -
Soil data at station Bayelva (2021, level 1)
Understanding permafrost processes and changes requires long-term observational datasets. This dataset is a continuation of the dataset available from the Bayelva Site at... -
Soil data at station Samoylov (2019)
Understanding permafrost processes and changes requires long-term observational datasets. This dataset is a continuation of the dataset available from the long-term... -
Soil data at station Bayelva (2020, level 1)
Understanding permafrost processes and changes requires long-term observational datasets. This dataset is a continuation of the dataset available from the Bayelva Site at... -
Soil data at station Bayelva (2019, level 1)
Understanding permafrost processes and changes requires long-term observational datasets. This dataset is a continuation of the dataset available from the Bayelva Site at... -
Soil sample anaysis from Elbe estuary in Selbitz, Saxony-Anhalt (Germany)
This dataset has no description
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Soil data at station Samoylov (2002-2018, level 2, version 201908), link to a...
This is an updated version of this data: https://doi.pangaea.de/10.1594/PANGAEA.891141, please use and cite the updated version! -
Soil data at station Samoylov (2002-2018, level 1, version 201908), link to a...
This is an updated version of this data: https://doi.pangaea.de/10.1594/PANGAEA.891140, please use and cite the updated version! -
Soil data at station Bayelva (2018, level 1)
This dataset has no description
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Soil properties and humus forms in 50-year old and 80-year Red Oak stands and...
The effects of substitution of natural mixed forest by red oak forest on humus forms and soil properties were investigated in two paired plots: a 50-year-old (Bosco Ginestre)... -
Meteorological and soil data from Bayelva, Svalbard, homogenised data product...
Understanding permafrost processes and their links to polar climate requires long-term observational datasets. This data product is a quality-controlled and homogenised... -
Continuous measurements in soil and air at the permafrost long-term observato...
Understanding permafrost processes and changes requires long-term observational datasets of ground and climate variables. Despite the fact that the Arctic climate changes more... -
Continuous measurements in soil and air at the permafrost long-term observato...
Understanding permafrost processes and changes requires long-term observational datasets. This dataset is a continuation of the dataset available from the long-term... -
Measurements in soil and air at Samoylov Station (2002-2018), version 201908
This data set includes meteorological, soil, permafrost data obtained from the long term observational site Samoylov, located in the Lena River Delta, Siberia, between 1998 to... -
Demmin, Germany (October 2015) - an EnMAP Preparatory Flight Campaign
The dataset is composed of Hyspex (VNIR/SWIR) hyperspectral imagery acquired during airplane overflights on 01. Oktober, 2015 within the Demmin Research Area. The acquisition...
