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Heterogeneous Ta-dichalcogenide bilayer: heavy fermions or doped Mott physics?
No full textControlling and understanding electron correlations in quantum matter is one of the most challenging tasks in materials engineering. In the past years a plethora of new puzzling correlated states have been found by carefully stacking and twisting two-dimensional van der Waals materials of different kind. Unique to these stacked structures is the emergence of correlated phases not foreseeable from the single layers alone. In Ta-dichalcogenide heterostructures made of a good metallic 1H- and a Mott-insulating 1T-layer, recent reports have evidenced a cross-breed itinerant and localized nature of the electronic excitations, similar to what is typically found in heavy fermion systems. Here, we put forward a new interpretation based on first-principles calculations which indicates a sizeable charge transfer of electrons (0.4-0.6 e) from 1T to 1H layers at an elevated interlayer distance. We accurately quantify the strength of the interlayer hybridization which allows us to unambiguously determine that the system is much closer to a doped Mott insulator than to a heavy fermion scenario. Ta-based heterolayers provide therefore a new ground for quantum-materials engineering in the regime of heavily doped Mott insulators hybridized with metallic states at a van der Waals distance
Consecutive Wet Days in Rainy Season (cwdrs)
No full textcdo -eca_cwd RRmask.nc out.ncDuration of wet period in rainy season: Let RRt be the daily precipitation amount on day t. For cwdrs count the largest number of consecutive days in one year where RRt ≥ 1mm, but only in rainy season which means rs1_ons≤t≤rs1_ces or rs2_ons≤t≤rs2_ces, for climatological rs1_ons, rs1_ces, rs2_ons, rs2_ces
Initial Sample of Emotional Bodily Expressions for the NAO Robot
No full textTo investigate human-robot interaction with the NAO robot using emotional body language, we used this sample of photographed expressions to validate bodily expressions reflecting the 24 subemotions from Plutchik’s wheel of emotions. For each of the subemotions, we created two to three different expressions based on related works using Choregraphe version 2.8.10. Each expression was photographed twice: with neutral (white) eye LEDs and with colored eye LEDs matching the colors in the Wheel of emotions. In total, 112 pictures were shot using constant lighting, angle, and background. Participants assigned emotion labels to the freeze frames of the social robot NAO V6 included in this repository. For further information please refer to our works referenced in the metadata
TD-DFT calculations of bridged triarylamine dimers
No full textThis dataset contains (TD-)DFT calculations (Gaussian 09 output files) for a series of 2,7-fluorene bridged triarylamine dimers in their neutral-, monoradicalic- and diradicalic state. The dataset is used in a print publication from the Lambert group with the title “Tuning Electron Transfer Coupling and Exchange Interaction in Bis-triarylamine Radical Cations and Dications by Bridge Electron Density”. For the detailed content list, please refer to the read me file
Thermodynamic Stability at the Two-Particle Level - Numerical results for the two-orbital Hubbard model (beta = 35 two-particle functions, additional results for U other than 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 parameters other than U = 1.44, but only 9 more in the case of U = 1.465, μ = 1.42 for which even more additional files are available in another dataset. 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. 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, 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)
Crop Indicators: Barley_Oats_Wheat_S
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
Crop Indicators: Maize_grain_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
Crop Indicators: Millet_S
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: Forest Cover
No full textPredicted monthly forest cover dataset in a spatial resolution of 1 x 1 km based on MODIS and AVHRR datasets. For predicting the retrospective forest cover 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)
Supplemental figures for Jaske et al.: Velocity coding in the central brain of bumblebees
No full textSupplemental figures for publication "Jaske et al.: Velocity coding in the central brain of bumblebees