cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6361422
title: Induced polarization and hydraulic tomography inversion results of the Bolstern aquifer analog

description: These data are supplementary material for the following publication: Römhild, L., Fiandaca, G., Hu, L., Meyer, L., Bayer, P. (2022): Imaging hydraulic conductivity in near-surface aquifers by complementing cross-borehole induced polarization with hydraulic experiments. Advances in Water Resources, 170, 104322.<br> https://doi.org/10.1016/j.advwatres.2022.104322. The data set presents Induced Polarisation (IP) and Hydraulic Tomography (HT) inversion results achieved from synthetic experiments on the Bolstern aquifer analog. It consists of the original Bolstern data set (hydraulic conductivity and porosity information) as described in Heinz et al. (2003) as well as the IP and HT inversion results with three different spacings (0.25 m, 0.5 m, 1 m) and two additional IP calibration approaches (factor and exponential calibration). All results are given as 2D cross-sections with the corresponding K-information.
description: {"references": ["Heinz, J., Kleineidam, S., Teutsch, G., & Aigner, T. (2003). Heterogeneity patterns of quaternary glaciofluvial gravel bodies (sw-germany): application to hydrogeology. Sedimentary Geology, 158 , 1-23. doi: https://doi.org/10.1016/S0037-0738(02)00239-7"]}
DOI: 10.5281/zenodo.8207343
title: Dataset for: "Assessment of eruption source parameters using infrasound: a case study from the 2021 eruption of Mt. Etna, Italy"

description: This dataset includes infrasound array waveforms recorded during eruptive activity at Mt. Etna, Italy, on June 20-21, 2021. During volcanic eruptions, the injection of volcanic ash into the atmosphere poses a well-known danger to aviation. To predict the dispersal of airborne ash and identify high-risk areas, scientists rely on observations from volcanology, as well as empirical and numerical models. These models heavily depend on what are known as eruption source parameters, which include the rate of pyroclastic material ejected from volcanic vents and the maximum altitude achieved by eruption plumes. In recent times, infrasound has gained popularity as a valuable tool for monitoring volcanoes, and researchers are continuously exploring its potential for real-time assessment of eruption source parameters. The dataset provided here was used to showcase the potential of infrasound data for near-real-time evaluation of eruption rates. Our analysis of the infrasound array data allowed us to identify coherent arrivals during the eruptive activity. By integrating these signals, we estimated the volume flow rate and flow velocity at the vent. The flow velocity values we obtained at the vent during peak paroxysmal activity were found to be between 50 and 125 meters per second, which aligned with independent estimates derived from other ground-based remote sensing data. Finally, using the flow velocities derived from infrasound we performed numerical modelling of ash plume rise to estimate the maximum height achieved by the eruption column.
DOI: 10.5281/zenodo.8207342
title: Dataset for: "Assessment of eruption source parameters using infrasound: a case study from the 2021 eruption of Mt. Etna, Italy"

description: This dataset includes infrasound array waveforms recorded during eruptive activity at Mt. Etna, Italy, on June 20-21, 2021. During volcanic eruptions, the injection of volcanic ash into the atmosphere poses a well-known danger to aviation. To predict the dispersal of airborne ash and identify high-risk areas, scientists rely on observations from volcanology, as well as empirical and numerical models. These models heavily depend on what are known as eruption source parameters, which include the rate of pyroclastic material ejected from volcanic vents and the maximum altitude achieved by eruption plumes. In recent times, infrasound has gained popularity as a valuable tool for monitoring volcanoes, and researchers are continuously exploring its potential for real-time assessment of eruption source parameters. The dataset provided here was used to showcase the potential of infrasound data for near-real-time evaluation of eruption rates. Our analysis of the infrasound array data allowed us to identify coherent arrivals during the eruptive activity. By integrating these signals, we estimated the volume flow rate and flow velocity at the vent. The flow velocity values we obtained at the vent during peak paroxysmal activity were found to be between 50 and 125 meters per second, which aligned with independent estimates derived from other ground-based remote sensing data. Finally, using the flow velocities derived from infrasound we performed numerical modelling of ash plume rise to estimate the maximum height achieved by the eruption column.
DOI: 10.6084/m9.figshare.21648255
title: LeMo: an assembly kit for musical acoustics education

description: Musical acoustics is a scientific field essential for an in-depth understanding of musical instruments and sounds. As such, it is relevant to wide audiences involved with music, including musicians, composers and even casual listeners. This work describes a twofold approach for introductory, hands-on education in musical acoustics. First, a concise classification approach for acoustic instruments is described. The approach consists of classifying instruments based on their fundamental acoustic properties of vibration generation, resonance and radiation. Then, an assembly kit of modular instrument components is described. The kit contains stand-alone resonator and radiator modules of various types, allowing the assembly of different fully functioning instrument prototypes. Students and general audiences, guided by educators, may use the kit to learn and experience the acoustic behaviour of musical instruments, as well as specific acoustic phenomena.
DOI: 10.6084/m9.figshare.21648255.v1
title: LeMo: an assembly kit for musical acoustics education

description: Musical acoustics is a scientific field essential for an in-depth understanding of musical instruments and sounds. As such, it is relevant to wide audiences involved with music, including musicians, composers and even casual listeners. This work describes a twofold approach for introductory, hands-on education in musical acoustics. First, a concise classification approach for acoustic instruments is described. The approach consists of classifying instruments based on their fundamental acoustic properties of vibration generation, resonance and radiation. Then, an assembly kit of modular instrument components is described. The kit contains stand-alone resonator and radiator modules of various types, allowing the assembly of different fully functioning instrument prototypes. Students and general audiences, guided by educators, may use the kit to learn and experience the acoustic behaviour of musical instruments, as well as specific acoustic phenomena.
DOI: 10.6084/m9.figshare.23532156
title: FluidHarmony: Defining an equal-tempered and hierarchical harmonic lexicon in the Fourier space

description: FluidHarmony is an algorithmic method for defining a hierarchical harmonic lexicon in equal temperaments. It utilizes an enharmonic weighted Fourier transform space to represent pitch class set (pcsets) relations. The method ranks pcsets based on user-defined constraints: the importance of interval classes (ICs) and a reference pcset. Evaluation of 5,184 Western musical pieces from the 16th to 20th centuries shows FluidHarmony captures 8% of the corpus's harmony in its top pcsets. This highlights the role of ICs and a reference pcset in regulating harmony in Western tonal music while enabling systematic approaches to define hierarchies and establish metrics beyond 12-TET.
DOI: 10.6084/m9.figshare.23532156.v1
title: FluidHarmony: Defining an equal-tempered and hierarchical harmonic lexicon in the Fourier space

description: FluidHarmony is an algorithmic method for defining a hierarchical harmonic lexicon in equal temperaments. It utilizes an enharmonic weighted Fourier transform space to represent pitch class set (pcsets) relations. The method ranks pcsets based on user-defined constraints: the importance of interval classes (ICs) and a reference pcset. Evaluation of 5,184 Western musical pieces from the 16th to 20th centuries shows FluidHarmony captures 8% of the corpus's harmony in its top pcsets. This highlights the role of ICs and a reference pcset in regulating harmony in Western tonal music while enabling systematic approaches to define hierarchies and establish metrics beyond 12-TET.
DOI: 10.5281/zenodo.8207425
title: Wolbachia introduction in D. suzukii populations at carrying capacity

description: Data and script for: Census method to estimate population size in <em>D.suzukii </em>experimental populations Estimation of both positive and density dependence in <em>D. suzukii</em> experimental populations Demographic consequences of Wolbachia-induced cytoplasmic incompatibility in <em>D. suzukii </em>populations at carrying capacity Prevalence of incompatible strain of <em>Wolbachia</em> over time
DOI: 10.5281/zenodo.8207424
title: Wolbachia introduction in D. suzukii populations at carrying capacity

description: Data and script for: Census method to estimate population size in <em>D.suzukii </em>experimental populations Estimation of both positive and density dependence in <em>D. suzukii</em> experimental populations Demographic consequences of Wolbachia-induced cytoplasmic incompatibility in <em>D. suzukii </em>populations at carrying capacity Prevalence of incompatible strain of <em>Wolbachia</em> over time
DOI: 10.5281/zenodo.8207334
title: A 500m-Resolution Agricultural Drought Area Dataset for the period 2006–2019 in the North China Plain

description: Agricultural drought has caused huge loss in crop production in the recent decades and will continue to occur with increased frequency and severity in the upcoming future period. However, lack of reliable historic agricultural drought information at finer spatiotemporal resolutions constrains the effective formulation strategy for prevention and mitigation of agricultural drought, especially for monitoring and early/warming. Hence, we generated a 500 m-resolution agricultural drought area dataset with three degrees (drought covered, drought damaged, and crop failure) for summer-harvest crops and autumn-harvest crops encompassing the whole NCP.
description: The raster value of the dataset is the degree of relative agricultural drought, with the lower value representing the more severe drought.
DOI: 10.5281/zenodo.8207333
title: A 500m-Resolution Agricultural Drought Area Dataset for the period 2006–2019 in the North China Plain

description: Agricultural drought has caused huge loss in crop production in the recent decades and will continue to occur with increased frequency and severity in the upcoming future period. However, lack of reliable historic agricultural drought information at finer spatiotemporal resolutions constrains the effective formulation strategy for prevention and mitigation of agricultural drought, especially for monitoring and early/warming. Hence, we generated a 500 m-resolution agricultural drought area dataset with three degrees (drought covered, drought damaged, and crop failure) for summer-harvest crops and autumn-harvest crops encompassing the whole NCP.
description: Raster value of the dataset is the degree of relative agricultural drought, with the lower value representing the more severe drought.
DOI: 10.5281/zenodo.8207515
title: A 500m-Resolution Agricultural Drought Area Dataset for the period 2006–2019 in the North China Plain

description: Agricultural drought has caused huge loss in crop production in the recent decades and will continue to occur with increased frequency and severity in the upcoming future period. However, lack of reliable historic agricultural drought information at finer spatiotemporal resolutions constrains the effective formulation strategy for prevention and mitigation of agricultural drought, especially for monitoring and early/warming. Hence, we generated a 500 m-resolution agricultural drought area dataset with three degrees (drought covered, drought damaged, and crop failure) for summer-harvest crops and autumn-harvest crops encompassing the whole NCP.
description: Raster value of the dataset is the degree of relative agricultural drought, with the lower value representing the more severe drought.
DOI: 10.17171/1-13-19784-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 4000BP MULTI-YEAR-SEASONAL-VALUES 2thPercentile SNOW-FALL

description: Climate Models
DOI: 10.17171/1-13-19785-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 4000BP MULTI-YEAR-SEASONAL-VALUES 2thPercentile SURFACE-ALBEDO

description: Climate Models
DOI: 10.17171/1-13-19786-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 4000BP MULTI-YEAR-SEASONAL-VALUES 2thPercentile SURFACE-PRESSURE

description: Climate Models
DOI: 10.17171/1-13-19787-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 4000BP MULTI-YEAR-SEASONAL-VALUES 2thPercentile TOTAL-CLOUD-COVER

description: Climate Models
DOI: 10.17171/1-13-19788-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 4000BP MULTI-YEAR-SEASONAL-VALUES 2thPercentile TOTAL-PRECIPITATION

description: Climate Models
DOI: 10.17171/1-13-19789-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 4000BP MULTI-YEAR-SEASONAL-VALUES 5thPercentile 10M-WIND-DIRECTION

description: Climate Models
DOI: 10.17171/1-13-19790-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 4000BP MULTI-YEAR-SEASONAL-VALUES 5thPercentile 10M-WINDSPEED

description: Climate Models
DOI: 10.17171/1-13-20488-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 5000BP MULTI-YEAR-SEASONAL-VALUES MEDIAN SENSIBLE-HEAT-FLUX

description: Climate Models
DOI: 10.17171/1-13-20489-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 5000BP MULTI-YEAR-SEASONAL-VALUES MEDIAN SNOW-DEPTH

description: Climate Models
DOI: 10.17171/1-13-20490-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 5000BP MULTI-YEAR-SEASONAL-VALUES MEDIAN SNOW-FALL

description: Climate Models
DOI: 10.17171/1-13-20491-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 5000BP MULTI-YEAR-SEASONAL-VALUES MEDIAN SURFACE-ALBEDO

description: Climate Models
DOI: 10.17171/1-13-20492-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 5000BP MULTI-YEAR-SEASONAL-VALUES MEDIAN SURFACE-PRESSURE

description: Climate Models
DOI: 10.17171/1-13-20493-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 5000BP MULTI-YEAR-SEASONAL-VALUES MEDIAN TOTAL-CLOUD-COVER

description: Climate Models
DOI: 10.17171/1-13-20494-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 5000BP MULTI-YEAR-SEASONAL-VALUES MEDIAN TOTAL-PRECIPITATION

description: Climate Models
DOI: 10.17171/1-13-20495-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 5000BP MULTI-YEAR-SEASONAL-VALUES MIN 10M-WIND-DIRECTION

description: Climate Models
DOI: 10.17171/1-13-20496-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 5000BP MULTI-YEAR-SEASONAL-VALUES MIN 10M-WINDSPEED

description: Climate Models
DOI: 10.17171/1-13-21297-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 6000BP MULTY-YEAR-MONTHLY-VALUES STD TOTAL-CLOUD-COVER

description: Climate Models
DOI: 10.17171/1-13-21298-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 6000BP MULTY-YEAR-MONTHLY-VALUES STD TOTAL-PRECIPITATION

description: Climate Models
DOI: 10.17171/1-13-21299-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 6000BP TIME-RANGE-VALUES 10thPercentile 10M-WIND-DIRECTION

description: Climate Models
DOI: 10.17171/1-13-21300-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 6000BP TIME-RANGE-VALUES 10thPercentile 10M-WINDSPEED

description: Climate Models
DOI: 10.17171/1-13-21301-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 6000BP TIME-RANGE-VALUES 10thPercentile 2M-RELATIVE-HUMIDITY

description: Climate Models
DOI: 10.17171/1-13-21302-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 6000BP TIME-RANGE-VALUES 10thPercentile 2M-TEMPERATURE

description: Climate Models
DOI: 10.17171/1-13-21303-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 6000BP TIME-RANGE-VALUES 10thPercentile EVAPORATION

description: Climate Models
DOI: 10.17171/1-13-21304-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 6000BP TIME-RANGE-VALUES 10thPercentile LATENT-HEAT-FLUX

description: Climate Models
DOI: 10.17171/1-13-18253-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES 75thPercentile 2M-RELATIVE-HUMIDITY

description: Climate Models
DOI: 10.17171/1-13-18254-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES 75thPercentile 2M-TEMPERATURE

description: Climate Models
DOI: 10.17171/1-13-18255-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES 75thPercentile EVAPORATION

description: Climate Models
DOI: 10.17171/1-13-18256-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES 75thPercentile LATENT-HEAT-FLUX

description: Climate Models
DOI: 10.17171/1-13-18257-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES 75thPercentile MEAN-SEA-LEVEL-PRESSURE

description: Climate Models
DOI: 10.17171/1-13-18258-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES 75thPercentile SENSIBLE-HEAT-FLUX

description: Climate Models
DOI: 10.17171/1-13-18259-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES 75thPercentile SNOW-DEPTH

description: Climate Models
DOI: 10.17171/1-13-18260-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES 75thPercentile SNOW-FALL

description: Climate Models
DOI: 10.17171/1-13-19011-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 200BP TIME-RANGE-VALUES 2thPercentile TOTAL-CLOUD-COVER

description: Climate Models
DOI: 10.17171/1-13-19012-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 200BP TIME-RANGE-VALUES 2thPercentile TOTAL-PRECIPITATION

description: Climate Models
DOI: 10.17171/1-13-19013-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 200BP TIME-RANGE-VALUES 5thPercentile 10M-WIND-DIRECTION

description: Climate Models
DOI: 10.17171/1-13-19014-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 200BP TIME-RANGE-VALUES 5thPercentile 10M-WINDSPEED

description: Climate Models
DOI: 10.17171/1-13-19015-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 200BP TIME-RANGE-VALUES 5thPercentile 2M-RELATIVE-HUMIDITY

description: Climate Models
DOI: 10.17171/1-13-19016-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 200BP TIME-RANGE-VALUES 5thPercentile 2M-TEMPERATURE

description: Climate Models
DOI: 10.17171/1-13-19017-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 200BP TIME-RANGE-VALUES 5thPercentile EVAPORATION

description: Climate Models
DOI: 10.17171/1-13-19018-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 200BP TIME-RANGE-VALUES 5thPercentile LATENT-HEAT-FLUX

description: Climate Models
DOI: 10.17171/1-13-19019-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 200BP TIME-RANGE-VALUES 5thPercentile MEAN-SEA-LEVEL-PRESSURE

description: Climate Models
DOI: 10.17171/1-13-19791-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 4000BP MULTI-YEAR-SEASONAL-VALUES 5thPercentile 2M-RELATIVE-HUMIDITY

description: Climate Models
DOI: 10.17171/1-13-19792-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 4000BP MULTI-YEAR-SEASONAL-VALUES 5thPercentile 2M-TEMPERATURE

description: Climate Models
DOI: 10.17171/1-13-19793-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 4000BP MULTI-YEAR-SEASONAL-VALUES 5thPercentile EVAPORATION

description: Climate Models
DOI: 10.17171/1-13-19794-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 4000BP MULTI-YEAR-SEASONAL-VALUES 5thPercentile LATENT-HEAT-FLUX

description: Climate Models
DOI: 10.17171/1-13-19795-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 4000BP MULTI-YEAR-SEASONAL-VALUES 5thPercentile MEAN-SEA-LEVEL-PRESSURE

description: Climate Models
DOI: 10.17171/1-13-19796-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 4000BP MULTI-YEAR-SEASONAL-VALUES 5thPercentile SENSIBLE-HEAT-FLUX

description: Climate Models
DOI: 10.17171/1-13-19797-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 4000BP MULTI-YEAR-SEASONAL-VALUES 5thPercentile SNOW-DEPTH

description: Climate Models
DOI: 10.17171/1-13-19798-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 4000BP MULTI-YEAR-SEASONAL-VALUES 5thPercentile SNOW-FALL

description: Climate Models
DOI: 10.17171/1-13-20497-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 5000BP MULTI-YEAR-SEASONAL-VALUES MIN 2M-RELATIVE-HUMIDITY

description: Climate Models
DOI: 10.17171/1-13-20498-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 5000BP MULTI-YEAR-SEASONAL-VALUES MIN 2M-TEMPERATURE

description: Climate Models
DOI: 10.17171/1-13-20499-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 5000BP MULTI-YEAR-SEASONAL-VALUES MIN EVAPORATION

description: Climate Models
DOI: 10.17171/1-13-20500-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 5000BP MULTI-YEAR-SEASONAL-VALUES MIN LATENT-HEAT-FLUX

description: Climate Models
DOI: 10.17171/1-13-20501-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 5000BP MULTI-YEAR-SEASONAL-VALUES MIN MEAN-SEA-LEVEL-PRESSURE

description: Climate Models
DOI: 10.17171/1-13-20502-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 5000BP MULTI-YEAR-SEASONAL-VALUES MIN SENSIBLE-HEAT-FLUX

description: Climate Models
DOI: 10.17171/1-13-20503-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 5000BP MULTI-YEAR-SEASONAL-VALUES MIN SNOW-DEPTH

description: Climate Models
DOI: 10.17171/1-13-20504-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 5000BP MULTI-YEAR-SEASONAL-VALUES MIN SNOW-FALL

description: Climate Models
DOI: 10.17171/1-13-21305-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 6000BP TIME-RANGE-VALUES 10thPercentile MEAN-SEA-LEVEL-PRESSURE

description: Climate Models
DOI: 10.17171/1-13-21306-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 6000BP TIME-RANGE-VALUES 10thPercentile SENSIBLE-HEAT-FLUX

description: Climate Models
DOI: 10.17171/1-13-21307-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 6000BP TIME-RANGE-VALUES 10thPercentile SNOW-DEPTH

description: Climate Models
DOI: 10.17171/1-13-21308-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 6000BP TIME-RANGE-VALUES 10thPercentile SNOW-FALL

description: Climate Models
DOI: 10.17171/1-13-21309-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 6000BP TIME-RANGE-VALUES 10thPercentile SURFACE-ALBEDO

description: Climate Models
DOI: 10.17171/1-13-21310-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 6000BP TIME-RANGE-VALUES 10thPercentile SURFACE-PRESSURE

description: Climate Models
DOI: 10.17171/1-13-21311-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 6000BP TIME-RANGE-VALUES 10thPercentile TOTAL-CLOUD-COVER

description: Climate Models
DOI: 10.17171/1-13-21312-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 6000BP TIME-RANGE-VALUES 10thPercentile TOTAL-PRECIPITATION

description: Climate Models
DOI: 10.17171/1-13-21313-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 6000BP TIME-RANGE-VALUES 25thPercentile 10M-WIND-DIRECTION

description: Climate Models
DOI: 10.17171/1-13-18261-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES 75thPercentile SURFACE-ALBEDO

description: Climate Models
DOI: 10.17171/1-13-18262-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES 75thPercentile SURFACE-PRESSURE

description: Climate Models
DOI: 10.17171/1-13-18263-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES 75thPercentile TOTAL-CLOUD-COVER

description: Climate Models
DOI: 10.17171/1-13-18264-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES 75thPercentile TOTAL-PRECIPITATION

description: Climate Models
DOI: 10.17171/1-13-18265-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES 90thPercentile 10M-WIND-DIRECTION

description: Climate Models
DOI: 10.17171/1-13-18266-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES 90thPercentile 10M-WINDSPEED

description: Climate Models
DOI: 10.17171/1-13-18267-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES 90thPercentile 2M-RELATIVE-HUMIDITY

description: Climate Models
DOI: 10.17171/1-13-18268-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP MULTY-YEAR-MONTHLY-VALUES 90thPercentile 2M-TEMPERATURE

description: Climate Models
DOI: 10.17171/1-13-19020-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 200BP TIME-RANGE-VALUES 5thPercentile SENSIBLE-HEAT-FLUX

description: Climate Models
DOI: 10.17171/1-13-19021-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 200BP TIME-RANGE-VALUES 5thPercentile SNOW-DEPTH

description: Climate Models
DOI: 10.17171/1-13-19022-1
title: EUROPE FIELD-AVERAGE COSMO-CLM 200BP TIME-RANGE-VALUES 5thPercentile SNOW-FALL

description: Climate Models