cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17897/jv0k-4p72
title: GeoBasis Nuuk - Soil Properties - SoilFen SoilWaterChemistry

description: SoilFen is one of the three automatic soil stations in Kobbefjord. Data from the station is found under Meteorology (air temperature, relative humidity and PAR) and Soil Properties (soilwater chemistry, soil temperatures, soil heat flux). The station was established in 2007 and is placed in the moist fen 40 m.a.s.l. close to the InteractFen (Meteorology, Soil Properties, Snow Properties), the EddyFen and the Methane station (Fluxmonitoring). Sampling time is noted in UTC-3 West Greenlandic Winter Time (WGWT). Six soil water samplers (suction cup lysimeters, Prenart Super Quartz) are installed at 10 and 80 cms depth (three replicates at each depth) next to the automatic station "SoilFen". The soil water samples are collected manually during the summer field season (app. May-October) and analyses are done at the Department of Geosciences and Natural ressource Management (IGN) and at the Department of Biology, both University of Copenhagen, Denmark and in the laboratory at the field station in Kobbefjord. Soil Properties:Soil Properties GeoBasis Nuuk:The GeoBasis monitoring programme focuses on selected abiotic characteristics in order to describe the state of Greenlandic terrestrial environments and their potential feedback effects in a changing climate. Monitored plot data is up-scaled to a landscape level and is used to improve ecosystem models to be able to quantify these feedback mechanisms. The GeoBasis programme provides an active response to recommendations in international assessments such as ACIA and SWIPA; and is continuously being adapted based on AMAP and other international founded recommendations. Furthermore, the GeoBasis programme is directly involved in several international networks and research projects (e.g. the Circumpolar Active Layer Monitoring (CALM) programme, the Nordic Centre of Excellence DEFROST, the Danish Centre of Excellence CENPERM, the EU-projects PAGE21 and INTERACT, and the Arctic Research Centre at Aarhus University). The GeoBasis programme is divided into a number of sub-groups, including:
DOI: 10.17897/3hy2-ac13
title: GeoBasis Nuuk - Soil Properties - SoilVUE Fen ElectricalConductivity

description: The SoilVUE sensor is connected to the InteractFen station. The station is placed in the fen (40 m.a.s.l.) close to the SoilFen (Meteorology, Soil Properties), EddyFen and Methane stations (Flux Monitoring). The SoilVUE sensor was installed in June 2021 and measures electrical conductivity (see SoilVUE Fen ElctricalConductivity), soil temperature (see SoilVUE Fen SoilTemperature) and soil moisture (see SoilVUE Fen SoilMoisture) in 100, 75, 60, 50, 40, 30, 20, 10 and 5 cm depth. Other data sets from the InteractFen station can be found under Meteorology (air temperature, relative humidity, radiation, wind, air pressure), Soil Properties (water fraction, ground water level, soil temperatures) and Snow Properties (snow temperatures, snow depht). All data is logged every 30 minutes (UTC-3 West Greenlandic Winter Time, CR1000X). Data comments: The sensor is observed to move upwards during the growing season likely due to fluctuations in water level of the fen. In periods where the sensors have been exposed to air the data has been deleted. From October 2023 to August 2024 the sensor movement has been assessed to be of such magnitude that data from all depths are not delivered to the database. In August 2024 the sensor was reinstalled to the right depth. Corrections for the relative offset during periods of sensor movement has not been applied. Soil Properties:Soil Properties GeoBasis Nuuk:The GeoBasis monitoring programme focuses on selected abiotic characteristics in order to describe the state of Greenlandic terrestrial environments and their potential feedback effects in a changing climate. Monitored plot data is up-scaled to a landscape level and is used to improve ecosystem models to be able to quantify these feedback mechanisms. The GeoBasis programme provides an active response to recommendations in international assessments such as ACIA and SWIPA; and is continuously being adapted based on AMAP and other international founded recommendations. Furthermore, the GeoBasis programme is directly involved in several international networks and research projects (e.g. the Circumpolar Active Layer Monitoring (CALM) programme, the Nordic Centre of Excellence DEFROST, the Danish Centre of Excellence CENPERM, the EU-projects PAGE21 and INTERACT, and the Arctic Research Centre at Aarhus University). The GeoBasis programme is divided into a number of sub-groups, including:
DOI: 10.17897/btgx-qm93
title: GeoBasis Nuuk - Soil Properties - SoilVUE Fen SoilMoisture

description: The SoilVUE sensor is connected to the InteractFen station. The station is placed in the fen (40 m.a.s.l.) close to the SoilFen (Meteorology, Soil Properties), EddyFen and Methane stations (Flux Monitoring). The SoilVUE sensor was installed in June 2021 and measures electrical conductivity (see SoilVUE Fen ElctricalConductivity), soil temperature (see SoilVUE Fen SoilTemperature) and soil moisture (see SoilVUE Fen SoilMoisture) in 100, 75, 60, 50, 40, 30, 20, 10 and 5 cm depth. Other data sets from the InteractFen station can be found under Meteorology (air temperature, relative humidity, radiation, wind, air pressure), Soil Properties (water fraction, ground water level, soil temperatures) and Snow Properties (snow temperatures, snow depht). All data is logged every 30 minutes (UTC-3 West Greenlandic Winter Time, CR1000X). Data comments: The sensor is observed to move upwards during the growing season likely due to fluctuations in water level of the fen.In periods where the sensors have been exposed to air the data has been deleted. From October 2023 to August 2024 the sensor movement has been assessed to be of such magnitude that data from all depths are not delivered to the database. In August 2024 the sensor was reinstalled to the right depth. Corrections for the relative offset during periods of sensor movement has not been applied. Soil Properties:Soil Properties GeoBasis Nuuk:The GeoBasis monitoring programme focuses on selected abiotic characteristics in order to describe the state of Greenlandic terrestrial environments and their potential feedback effects in a changing climate. Monitored plot data is up-scaled to a landscape level and is used to improve ecosystem models to be able to quantify these feedback mechanisms. The GeoBasis programme provides an active response to recommendations in international assessments such as ACIA and SWIPA; and is continuously being adapted based on AMAP and other international founded recommendations. Furthermore, the GeoBasis programme is directly involved in several international networks and research projects (e.g. the Circumpolar Active Layer Monitoring (CALM) programme, the Nordic Centre of Excellence DEFROST, the Danish Centre of Excellence CENPERM, the EU-projects PAGE21 and INTERACT, and the Arctic Research Centre at Aarhus University). The GeoBasis programme is divided into a number of sub-groups, including:
DOI: 10.17897/an04-me80
title: GeoBasis Nuuk - Soil Properties - SoilVUE Fen SoilTemperature

description: The SoilVUE sensor is connected to the InteractFen station. The station is placed in the fen (40 m.a.s.l.) close to the SoilFen (Meteorology, Soil Properties), EddyFen and Methane stations (Flux Monitoring). The SoilVUE sensor was installed in June 2021 and measures electrical conductivity (see SoilVUE Fen ElctricalConductivity), soil temperature (see SoilVUE Fen SoilTemperature) and soil moisture (see SoilVUE Fen SoilMoisture) in 100, 75, 60, 50, 40, 30, 20, 10 and 5 cm depth. Other data sets from the InteractFen station can be found under Meteorology (air temperature, relative humidity, radiation, wind, air pressure), Soil Properties (water fraction, ground water level, soil temperatures) and Snow Properties (snow temperatures, snow depht). All data is logged every 30 minutes (UTC-3 West Greenlandic Winter Time, CR1000X). Data comments: The sensor is observed to move upwards during the growing season likely due to fluctuations in water level of the fen. In periods where the sensors have been exposed to air the data has been deleted. From October 2023 to August 2024 the sensor movement has been assessed to be of such magnitude that data from all depths are not delivered to the database. In August 2024 the sensor was reinstalled to the right depth. Corrections for the relative offset during periods of sensor movement has not been applied. Soil Properties:Soil Properties GeoBasis Nuuk:The GeoBasis monitoring programme focuses on selected abiotic characteristics in order to describe the state of Greenlandic terrestrial environments and their potential feedback effects in a changing climate. Monitored plot data is up-scaled to a landscape level and is used to improve ecosystem models to be able to quantify these feedback mechanisms. The GeoBasis programme provides an active response to recommendations in international assessments such as ACIA and SWIPA; and is continuously being adapted based on AMAP and other international founded recommendations. Furthermore, the GeoBasis programme is directly involved in several international networks and research projects (e.g. the Circumpolar Active Layer Monitoring (CALM) programme, the Nordic Centre of Excellence DEFROST, the Danish Centre of Excellence CENPERM, the EU-projects PAGE21 and INTERACT, and the Arctic Research Centre at Aarhus University). The GeoBasis programme is divided into a number of sub-groups, including:
DOI: 10.17897/j3tm-ct93
title: GeoBasis Nuuk - Soil Properties - SoilVUE Heath SoilMoisture

description: The SoilVUE sensor is connected to the InteractHeath station. The station is placed in the heath (26 m.a.s.l.) close to the EddyHeath station (Flux Monitoring). The SoilVUE sensor was installed in October 2023 and measures soil temperature (see SoilVUE Heath SoilTemperature) and soil moisture (see SoilVUE Heath SoilMoisture) in 50, 40, 30, 20, 10 and 5 cm depth. Other data sets from the InteractHeath station can be found under Meteorology (air temperature, relative humidity, radiation, wind), Soil Properties (water fraction, soil temperatures) and Snow Properties (snow temperatures, snow depht). All data is logged every 30 minutes (UTC-3 West Greenlandic Winter Time, CR1000 logger). Soil Properties:Soil Properties GeoBasis Nuuk:The GeoBasis monitoring programme focuses on selected abiotic characteristics in order to describe the state of Greenlandic terrestrial environments and their potential feedback effects in a changing climate. Monitored plot data is up-scaled to a landscape level and is used to improve ecosystem models to be able to quantify these feedback mechanisms. The GeoBasis programme provides an active response to recommendations in international assessments such as ACIA and SWIPA; and is continuously being adapted based on AMAP and other international founded recommendations. Furthermore, the GeoBasis programme is directly involved in several international networks and research projects (e.g. the Circumpolar Active Layer Monitoring (CALM) programme, the Nordic Centre of Excellence DEFROST, the Danish Centre of Excellence CENPERM, the EU-projects PAGE21 and INTERACT, and the Arctic Research Centre at Aarhus University). The GeoBasis programme is divided into a number of sub-groups, including:
DOI: 10.17897/nhzb-6f62
title: GeoBasis Nuuk - Soil Properties - SoilVUE Heath SoilTemperature

description: The SoilVUE sensor is connected to the InteractHeath station. The station is placed in the heath (26 m.a.s.l.) close to the EddyHeath station (Flux Monitoring). The SoilVUE sensor was installed in October 2023 and measures soil temperature (see SoilVUE Heath SoilTemperature) and soil moisture (see SoilVUE Heath SoilMoisture) in 50, 40, 30, 20, 10 and 5 cm depth. Other data sets from the InteractHeath station can be found under Meteorology (air temperature, relative humidity, radiation, wind), Soil Properties (water fraction, soil temperatures) and Snow Properties (snow temperatures, snow depht). All data is logged every 30 minutes (UTC-3 West Greenlandic Winter Time, CR1000 logger). Soil Properties:Soil Properties GeoBasis Nuuk:The GeoBasis monitoring programme focuses on selected abiotic characteristics in order to describe the state of Greenlandic terrestrial environments and their potential feedback effects in a changing climate. Monitored plot data is up-scaled to a landscape level and is used to improve ecosystem models to be able to quantify these feedback mechanisms. The GeoBasis programme provides an active response to recommendations in international assessments such as ACIA and SWIPA; and is continuously being adapted based on AMAP and other international founded recommendations. Furthermore, the GeoBasis programme is directly involved in several international networks and research projects (e.g. the Circumpolar Active Layer Monitoring (CALM) programme, the Nordic Centre of Excellence DEFROST, the Danish Centre of Excellence CENPERM, the EU-projects PAGE21 and INTERACT, and the Arctic Research Centre at Aarhus University). The GeoBasis programme is divided into a number of sub-groups, including:
DOI: 10.5525/gla.researchdata.2152
title: The historical patterns that have shaped contemporary genetic differentiation across populations of Arctic charr in Scotland

description: Genetic and geographic data for an evolutionary biology study.
DOI: 10.17028/rd.lboro.31135015
title: Investigating Questions Driven Reading of Mathematics Data Sets

description: Data sets used for investigating how questions rated by experts as highly procedural or conceptual affect relevance appreciation of mathematical text while reading towards answering these questions. To examine this, we focus on text sections and questions presenting and explaining the definitions of parity and periodicity of real functions. We utilise scores yielded from comparatively judging text sections on their relevance to a given question. The full information about the study and the results appear in our corresponding paper.© the author
DOI: 10.17028/rd.lboro.31135015.v1
title: Investigating Questions Driven Reading of Mathematics Data Sets

description: Data sets used for investigating how questions rated by experts as highly procedural or conceptual affect relevance appreciation of mathematical text while reading towards answering these questions. To examine this, we focus on text sections and questions presenting and explaining the definitions of parity and periodicity of real functions. We utilise scores yielded from comparatively judging text sections on their relevance to a given question. The full information about the study and the results appear in our corresponding paper.© the author
DOI: 10.5281/zenodo.18374151
title: Data and evaluation code for the drug interaction paper

description: This archive contains the analysis code, calibration experiment code and data, and raw luminescence files used in the paper: ``Antibiotic Combination Effects at Subinhibitory Doses do not Reliably Predict Effects at Inhibitory Concentrations''. 

## Structure- `pypetting_code/`: robot automation scripts- `main_eval_code/`: analysis/evaluation code snapshot- `calibration_experiment/`: light-noise calibration code and data- `helper_functions/`: settings helpers used during evaluation- `raw_data/`: raw luminescence files
DOI: 10.5281/zenodo.18374152
title: Data and evaluation code for the drug interaction paper

description: This archive contains the analysis code, calibration experiment code and data, and raw luminescence files used in the paper: ``Antibiotic Combination Effects at Subinhibitory Doses do not Reliably Predict Effects at Inhibitory Concentrations''. 

## Structure- `pypetting_code/`: robot automation scripts- `main_eval_code/`: analysis/evaluation code snapshot- `calibration_experiment/`: light-noise calibration code and data- `helper_functions/`: settings helpers used during evaluation- `raw_data/`: raw luminescence files
DOI: 10.5281/zenodo.15223468
title: Data accompanying manuscript: Complex mesoscale landscapes beneath Antarctica mapped from space

description: This repository contains the datasets which accompany the code for the manuscript "Complex mesoscale landscapes beneath Antarctica mapped from space". Small datasets are stored in the folder "Data_science_zenodo", and large datasets in "Large_data_science". More details about the datasets can be found in the accompanying Github repository in the notebook "Antarctic_FIGURES.ipynb", available at DOI: 10.5281/zenodo.11145291. 

It also contains a high resolution version of Figure 1 from the manuscript, which can be generated using the datasets and code available. 

The IFPA topography map has now been incorporated into BedMachine Antarctica v4, alongside ice thickness estimates from IceBoost for periphery glaciers and the Peninsula, and ocean bathymetry from AntGG in some coastal regions. We recommend using BedMachine Antarctica v4 rather than the IFPA_C50.nc map (referred to in the manuscript as IFPA_meso), as it includes the additional radar correction to ensure that the novel mesoscale details are consistent with all the available geophysical data, and uses other techniques such as mass conservation in regions where they are more appropriate. BedMachine Antarctica v4 is available at https://doi.org/10.5067/POJQI54A45HX.
DOI: 10.5281/zenodo.17226363
title: Data accompanying manuscript: Complex mesoscale landscapes beneath Antarctica mapped from space

description: This repository contains the datasets which accompany the code for the manuscript "Complex mesoscale landscapes beneath Antarctica mapped from space". Small datasets are stored in the folder "Data_science_zenodo", and large datasets in "Large_data_science". More details about the datasets can be found in the accompanying Github repository in the notebook "Antarctic_FIGURES.ipynb", available at DOI: 10.5281/zenodo.11145291. 

It also contains a high resolution version of Figure 1 from the manuscript, which can be generated using the datasets and code available. 

The IFPA topography map has now been incorporated into BedMachine Antarctica v4, alongside ice thickness estimates from IceBoost for periphery glaciers and the Peninsula, and ocean bathymetry from AntGG in some coastal regions. We recommend using BedMachine Antarctica v4 rather than the IFPA_C50.nc map (referred to in the manuscript as IFPA_meso), as it includes the additional radar correction to ensure that the novel mesoscale details are consistent with all the available geophysical data, and uses other techniques such as mass conservation in regions where they are more appropriate. BedMachine Antarctica v4 is available at https://doi.org/10.5067/POJQI54A45HX.
DOI: 10.5281/zenodo.18299081
title: Host plant selection tool of pests affecting fruit-bearing vegetables in the EU

description: This database "Host plant selection tool of pests affecting fruit-bearing vegetables in the EU" has been prepared to support the survey cards of pests affecting fruit-bearing vegetables. The pest survey cards are prepared in the context of EFSA’s mandate on plant pest surveillance (M-2020-0114) at the request of the European Commission. 

The preparation of both this database and the pest survey cards for pest affecting fruit-bearing vegetables was carried out within the framework of grant GP/EFSA/PLANTS/2022/10 - Lot 1.The pest survey cards are available in the EFSA gallery: https://efsa.europa.eu/plants/planthealth/monitoring/surveillance/gallery

In total, 28 EU regulated pests are included in the grant of pests affecting fruit bearing vegetables, and in particular: Ceratothripoides claratris, Diabrotica undecimpunctata howardi, Diabrotica undecimpunctata undecimpunctata, Helicoverpa zea, Keiferia lycopersicella, Lettuce infectious yellows virus, Liriomyza bryoniae, Liriomyza huidobrensis, Liriomyza sativae, Liriomyza trifolii, Meloidogyne enterolobii, Melon yellowing-associated virus, Neoleucinodes elegantalis, Prodiplosis longifila, Ralstonia pseudosolanacearum, Spodoptera eridania, Squash vein yellowing virus, Thrips palmi, Tomato chocolàte virus, Tomato marchitez virus, Tomato mild mottle virus, Xiphinema americanum sensu stricto, Xiphinema bricolense, Xiphinema californicum, Xiphinema inaequale, Xiphinema intermedium, Xiphinema rivesi (non-EU populations) and Xiphinema tarjanense.

EFSA Question number: EFSA-Q-2024-00228

EFSA Output number: EN-9904

Last update: 22 January 2026
description: EU; en; XLS; plants@efsa.europa.eu
DOI: 10.5281/zenodo.18299080
title: Host plant selection tool of pests affecting fruit-bearing vegetables in the EU

description: This database "Host plant selection tool of pests affecting fruit-bearing vegetables in the EU" has been prepared to support the survey cards of pests affecting fruit-bearing vegetables. The pest survey cards are prepared in the context of EFSA’s mandate on plant pest surveillance (M-2020-0114) at the request of the European Commission. 

The preparation of both this database and the pest survey cards for pest affecting fruit-bearing vegetables was carried out within the framework of grant GP/EFSA/PLANTS/2022/10 - Lot 1.The pest survey cards are available in the EFSA gallery: https://efsa.europa.eu/plants/planthealth/monitoring/surveillance/gallery

In total, 28 EU regulated pests are included in the grant of pests affecting fruit bearing vegetables, and in particular: Ceratothripoides claratris, Diabrotica undecimpunctata howardi, Diabrotica undecimpunctata undecimpunctata, Helicoverpa zea, Keiferia lycopersicella, Lettuce infectious yellows virus, Liriomyza bryoniae, Liriomyza huidobrensis, Liriomyza sativae, Liriomyza trifolii, Meloidogyne enterolobii, Melon yellowing-associated virus, Neoleucinodes elegantalis, Prodiplosis longifila, Ralstonia pseudosolanacearum, Spodoptera eridania, Squash vein yellowing virus, Thrips palmi, Tomato chocolàte virus, Tomato marchitez virus, Tomato mild mottle virus, Xiphinema americanum sensu stricto, Xiphinema bricolense, Xiphinema californicum, Xiphinema inaequale, Xiphinema intermedium, Xiphinema rivesi (non-EU populations) and Xiphinema tarjanense.

EFSA Question number: EFSA-Q-2024-00228

EFSA Output number: EN-9904

Last update: 22 January 2026
description: EU; en; XLS; plants@efsa.europa.eu
DOI: 10.5281/zenodo.18299378
title: Data for publication 'Inferring the Controlling Factors of Ice Aggregation from Targeted Cloud Seeding Experiments'
DOI: 10.6084/m9.figshare.26265932
title: Burned area detection from a single satellite image using an adaptive thresholds algorithm

description: Burned area (BA) plays a pivotal role in fire management and the assessment of fire impact on earth-atmosphere system. Threshold-based segmentation from a single image is an efficient and operational method for detecting BA. However, the great diversity of fire conditions necessitates an adaptive threshold that considers environmental variations. This paper presents a maximum curvature segmentation method to capture the adaptative thresholds. The spectral contrasts in near-infrared (NIR) and shortwave infrared (SWIR) bands were utilized to distinguish BA. The decreased NIR threshold was employed to obtain the burned candidates, and the increased SWIR threshold was then applied to confirm the candidates. Experiments were conducted in different biomes, covering the boreal forest, tropical forest, savanna, and Mediterranean, and different seasons including growing and non-growing seasons. The thresholds changed in each tile, indicating the algorithm adapted the spatial and temporal variations. Comparison with the Burned Area Reference Database was performed at different biomes, resulting in overall dice coefficient (DC), omission error (OE), commission error (CE), and relative Bias (relB) being 0.86, 0.18, 0.10, and −0.08, respectively. The algorithm provides an avenue for adaptive detection of burned areas, and the single-image based approach can provide real-time burned information for wildfire management systems.