WueData (Univ Würzburg)
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185 research outputs found
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Rainy Days (rd)
No full textcdo -yearsum -gec,1 RR.nc out.ncNumber of rainy days: Let RRt be the daily precipitation amount on day t. For rd count all days in one year where RRt ≥ 1mm
Rainy Season Characterisitics (rs)
No full textRainy season: The onset is set as the cumulative minimum of daily precipitation anomalies over a year, the cessation is defined by the cumulative maximum. If a grid point is marked by two local minima and maxima, a second rainy season is depicted. The cumulative curves are filtered by the 15 day running mean (for more detailed information see Abel et al. 2023)
Thermodynamic Stability at the Two-Particle Level - Numerical results for the two-orbital Hubbard model (beta = 35 two-particle functions, one result per parameter set)
No full textThis dataset contains a part of the DMFT/QMC results for the example of the two-orbital Hubbard model shown in the article "Thermodynamic Stability at the Two-Particle Level". It contains one statistically independent result (i.e. using one specific PRNG seed each) for the two-particle Green's functions at inverse temperature beta = 35. Further results can be found in the main dataset listed under related identifiers and its other subdatasets.All data files are zstd-compressed HDF5 output files as generated by w2dynamics for worm-sampling calculations of the two-particle Green's functions of the auxiliary impurity problem of two-orbital Hubbard models on a Bethe lattice with density-density interaction with fixed ratios between the interaction coefficients at inverse temperature beta = 35. The individual file names contain the Hubbard-U interaction strength, e.g. '_U1.46_' for U=1.46, the chemical potential μ, e.g. '_mu1.33380_' for μ=1.3338, and the letter 'u'(pward), 'd'(ownward), or 'i'(nstable) indicating a procedural detail that is related to the phase if the parameters of the solution are in the coexistence region (the corresponding phases are the insulating or strongly correlated metallic one, the weakly correlated metallic one, and the unstable metallic one respectively). More detailed descriptions and instructions can be found in the included readme file or the technical remarks on the main dataset.We are grateful for funding support from the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy through the Würzburg-Dresden Cluster of Excellence on Complexity and Topology in Quantum Matter ct.qmat (EXC 2147, Project ID 390858490) as well as through the Collaborative Research Center SFB 1170 ToCoTronics (Project ID 258499086)
Thermodynamic Stability at the Two-Particle Level - Numerical results for the two-orbital Hubbard model (beta = 35 two-particle functions, additional results for U = 1.44)
No full textThis dataset contains a part of the DMFT/QMC results for the example of the two-orbital Hubbard model shown in the article "Thermodynamic Stability at the Two-Particle Level". It contains additional statistically independent results (i.e. using multiple different PRNG seeds) for the two-particle Green's functions at inverse temperature beta = 35 and Hubbard interaction parameter U = 1.44. Other numerical results can be found in the main dataset listed under related identifiers and its other subdatasets.All data files are zstd-compressed HDF5 output files as generated by w2dynamics for worm-sampling calculations of the two-particle Green's functions of the auxiliary impurity problem of two-orbital Hubbard models on a Bethe lattice with density-density interaction with fixed ratios between the interaction coefficients at inverse temperature beta = 35 and Hubbard interaction parameter U = 1.44. The individual file names contain the chemical potential μ, e.g. '_mu1.33380_' for μ=1.3338, the letter 'u'(pward), 'd'(ownward), or 'i'(nstable) indicating a procedural detail that is related to the phase if the parameters of the solution are in the coexistence region (the corresponding phases are the insulating or strongly correlated metallic one, the weakly correlated metallic one, and the unstable metallic one respectively), and a PRNG seed index, e.g. '_s2_' for index 2. More detailed descriptions and instructions can be found in the included readme file or the technical remarks on the main dataset.We are grateful for funding support from the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy through the Würzburg-Dresden Cluster of Excellence on Complexity and Topology in Quantum Matter ct.qmat (EXC 2147, Project ID 390858490) as well as through the Collaborative Research Center SFB 1170 ToCoTronics (Project ID 258499086)
Climate Indicators: Second Rainy Season (rs2)
No full textRainy season: The onset is set as the cumulative minimum of daily precipitation anomalies over a year, the cessation is defined by the cumulative maximum. If a grid point is marked by two local minima and maxima, a second rainy season is depicted. The cumulative curves are filtered by the 15 day running mean (for more detailed information see Abel et al. 2024)
Crop Indicators: Millet_L
No full textCrop water need: Let ET0i be the daily potential evapotranspiration [mm] for day i, and Kc(pl,ph) the crop factor per plant pl and phase ph, and s(pl,ph) and e(pl,ph) the corresponding start and end day of pl and ph then CWN(pl,ph) is the daily average of the product of Kc(pl,ph) and ET0i, for s(pl,ph)≤ i < e(pl,ph) and s(pl,IS) = climatological ons (of rs1). Water deficit: Let CWN(pl,ph)i be the daily crop water need and efftpi the daily effective precipitation (which is 0mm for daily precipitation < 6.5mm, is 75mm for daily precipitation ≥ 75mm, and else the daily precipitation RRi), then Ir(pl,ph) is the daily average of the difference of cwn and efftp per plant and phase. Water balance: Let ETi be the daily actual evapotranspiration [mm] (calculated by the daily surface latent heat flux) then WA is the daily average of the difference of the daily precipitation and ETi per plant and phase
Remote Sensing Indicators: Leaf Area Index (LAI)
No full textPredicted monthly Leaf Area Index (LAI) dataset in a spatial resolution of 1 x 1 km based on MODIS and AVHRR datasets. For predicting the retrospective LAI values the STARFM algorithm was utilized in a Python environment. All available months are packed into one .zip file which can be (i) downloaded and (ii) extracted using free and open standard software (e.g. 7-zip)
Phase diagram of the J-Jd Heisenberg Model on the Maple-Leaf Lattice: Neural networks and density matrix renormalization group
No full textWe microscopically analyze the nearest-neighbor Heisenberg model on the maple leaf lattice through neural quantum state (NQS) and infinite density matrix renormalization group (iDMRG) methods. This dataset contains the numerical data shown in Figs. 2, 4 and 5 of Phys. Rev. B 109, 184422. Further information is provided in the contained readme.This work is supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) through Project ID 258499086-SFB 1170 and the Würzburg-Dresden Cluster of Excellence on Complexity and Topology in Quantum Matter—ct.qmat Project ID 390858490-EXC 2147
Achieving environmental stability in an atomically thin quantum spin Hall insulator via graphene intercalation
No full textRaw data used for the manuscript: Achieving environmental stability in an atomically thin quantum spin Hall insulator via graphene intercalation' published in Nature communications 2024. Please read the 'README' file.We are grateful for funding support from the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy through the Würzburg-Dresden Cluster of Excellence on Complexity and Topology in Quantum Matter ct.qmat (EXC 2147, Project ID 390858490) as well as through the Collaborative Research Center SFB 1170 ToCoTronics (Project ID 258499086)
Warm Spell Index (hwfi)
No full textcdo -eca_hwfi TG.nc -ydrunpctl,90,5 TGref.nc -ydrunmin,5 TGref.nc -ydrunmax,5 TGref.nc out.ncWarm-spell days index / Duration of Heat Wave: Let TGi be the daily mean temperature on day t and TG90’t the 90th percentile of a climatological average of a running 5 day mean (1981-2010), then hwfi is the longest period of consecutive days (≥ 6 days) in one year, where TGt > TG90’t