UiT The Arctic University of Norway

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2,811 to 2,820 of 10,643 Results

PolarFront(UiT The Arctic University of Norway) May 16, 2022 PolarFront is a research project, led by Akvaplan-niva, designed to collect reference data in the European polar front area, in the period 2021–2024. PolarFront is based on open science principles. Raw, analysed, and derived data products are all to be published and archived in DataverseNO, under open access licenses. For data management plans and...
00_ReadMe_ConcentrationsPools_v1.txt Apr 27, 2023 - Replication Data for: Herbivory and warming have opposing short-term effects on plant-community nutrient levels across high-Arctic tundra habitats Plain Text - 5.3 KB - MD5: 46862e3ddb904082d0d3b7ff081e0641 This is the readME file to be used for interpreting information provided in ConcentrationsPools_dataset_v1
ConcentrationsPools_dataset_v1.txt Apr 27, 2023 - Replication Data for: Herbivory and warming have opposing short-term effects on plant-community nutrient levels across high-Arctic tundra habitats Plain Text - 93.1 KB - MD5: 9ebf420f9608e09984f2fc6223fa763f This is the dataset used to to ask to what extent plant-community nutrient levels (concentrations and pools of nitrogen and phosphorus) are affected by herbivory and warming in high-Arctic tundra (Svalbard). Interpretation of the information contained here is provided in 00_ReadMe_ConcentrationsPools_v1
01_ReadMe_Swedish-observations-of-the-aurora-borealis_1716-1732.txt Apr 4, 2023 - Swedish observations of the Aurora Borealis in the period 1716-1732 in contemporaneous scholarly publications Plain Text - 5.0 KB - MD5: a5f115d06462dd231e8abb61a8cc8f5c Read Me file
02_Swedish-observations-of-the-aurora-borealis_1716-1732.csv Apr 4, 2023 - Swedish observations of the Aurora Borealis in the period 1716-1732 in contemporaneous scholarly publications Comma Separated Values - 39.7 KB - MD5: 0df96f5eb3da3a5538d6b52320a4f2b1 Dataset file
00_README_June2023.txt Jan 10, 2024 - Supporting Data for: Sea-ice biomarker and sea-ice index data from core HH15-1252PC Plain Text - 5.7 KB - MD5: 8519792a8ff92d4cfe2140c03727b543
Sea_ice_biomarker_and_indexes_HH15-1252PC_June2023.txt Jan 10, 2024 - Supporting Data for: Sea-ice biomarker and sea-ice index data from core HH15-1252PC Plain Text - 24.0 KB - MD5: e8a131f8d19d60414d43e21a8dc81c3d
01_README.txt Sep 5, 2022 - Replication Data for: "Impact of the COVID-19 pandemic on human-nature relations in a remote nature-based tourism destination" Plain Text - 8.5 KB - MD5: 088e1c2a7d0125d2ff2a492636f95fa0 README file describing: "Replication Data for: Impact of the COVID-19 pandemic on human-nature relations in a remote nature-based tourism destination"
Mul_etal_2022_data.csv Sep 5, 2022 - Replication Data for: "Impact of the COVID-19 pandemic on human-nature relations in a remote nature-based tourism destination" Comma Separated Values - 126.7 MB - MD5: 20fbcee415669e82bcf01c5608f0b73f
00_ReadMe_SiliconNutrients.v1.txt Oct 21, 2021 - Replication Data for: Forage quality in tundra grasslands under herbivory: Silicon-based defences, nutrients, and their ratios in grasses Plain Text - 6.2 KB - MD5: cb80d14f0b433b40a4234ea06a87efd2 README file to interpret the data file SiliconNutrients._dataset.v1

PolarFront(UiT The Arctic University of Norway)

May 16, 2022

PolarFront is a research project, led by Akvaplan-niva, designed to collect reference data in the European polar front area, in the period 2021–2024. PolarFront is based on open science principles. Raw, analysed, and derived data products are all to be published and archived in DataverseNO, under open access licenses. For data management plans and...

00_ReadMe_ConcentrationsPools_v1.txt

Apr 27, 2023 - Replication Data for: Herbivory and warming have opposing short-term effects on plant-community nutrient levels across high-Arctic tundra habitats

Plain Text - 5.3 KB -

This is the readME file to be used for interpreting information provided in ConcentrationsPools_dataset_v1

ConcentrationsPools_dataset_v1.txt

Apr 27, 2023 - Replication Data for: Herbivory and warming have opposing short-term effects on plant-community nutrient levels across high-Arctic tundra habitats

Plain Text - 93.1 KB -

This is the dataset used to to ask to what extent plant-community nutrient levels (concentrations and pools of nitrogen and phosphorus) are affected by herbivory and warming in high-Arctic tundra (Svalbard). Interpretation of the information contained here is provided in 00_ReadMe_ConcentrationsPools_v1

01_ReadMe_Swedish-observations-of-the-aurora-borealis_1716-1732.txt

Apr 4, 2023 - Swedish observations of the Aurora Borealis in the period 1716-1732 in contemporaneous scholarly publications

Plain Text - 5.0 KB -

Read Me file

02_Swedish-observations-of-the-aurora-borealis_1716-1732.csv

Apr 4, 2023 - Swedish observations of the Aurora Borealis in the period 1716-1732 in contemporaneous scholarly publications

Comma Separated Values - 39.7 KB -

Dataset file

00_README_June2023.txt

Jan 10, 2024 - Supporting Data for: Sea-ice biomarker and sea-ice index data from core HH15-1252PC

Plain Text - 5.7 KB -

Sea_ice_biomarker_and_indexes_HH15-1252PC_June2023.txt

Jan 10, 2024 - Supporting Data for: Sea-ice biomarker and sea-ice index data from core HH15-1252PC

Plain Text - 24.0 KB -

01_README.txt

Sep 5, 2022 - Replication Data for: "Impact of the COVID-19 pandemic on human-nature relations in a remote nature-based tourism destination"

Plain Text - 8.5 KB -

README file describing: "Replication Data for: Impact of the COVID-19 pandemic on human-nature relations in a remote nature-based tourism destination"

Mul_etal_2022_data.csv

Sep 5, 2022 - Replication Data for: "Impact of the COVID-19 pandemic on human-nature relations in a remote nature-based tourism destination"

Comma Separated Values - 126.7 MB -

00_ReadMe_SiliconNutrients.v1.txt

Oct 21, 2021 - Replication Data for: Forage quality in tundra grasslands under herbivory: Silicon-based defences, nutrients, and their ratios in grasses

Plain Text - 6.2 KB -

README file to interpret the data file SiliconNutrients._dataset.v1

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