441 to 450 of 1,013 Results
Unknown - 35.2 KB -
MD5: efa9322fd91ca4c30723ed732fe532a1
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Unknown - 5.8 KB -
MD5: 7b798486bb89a9761ce6054aae0ea21c
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Jul 28, 2025
De Santis, Alessandro; Evangelista, Antonio; Frezzotti, Roberto; Gigliardi, Giuseppe; Gambino, Paolo; Garofalo, Marco; Groß, Christiane Franziska; Kostrzewa, Bartosz; Lubicz, Vittorio; Margari, Francesca; Panero, Marco; Sanfilippo, Francesco; Simula, Silvano; Smecca, Antonio; Tantalo, Nazario; Urbach, Carsten, 2025, "Supplementary data for "Inclusive semileptonic decays of the Ds meson"", https://doi.org/10.60507/FK2/VQFYKW, bonndata, V1
Here we supplement the bootstrapsamples of the stability analyses done in the papers arXiv:2504.06063 and arXiv:2504.06064. In the papers, we present the results of a first-principles theoretical study of the inclusive semileptonic decays of the Ds meson. We performed a state-of-the-art lattice QCD calculation using the gauge ensembles produced by... |
ZIP Archive - 154.1 MB -
MD5: a92e3015dc63d381228f6d40c835f64d
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Plain Text - 18.1 KB -
MD5: 65924dca210f86de63a729777b93292b
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Jul 22, 2025
Nowak, Melina Sophie; Harder, Benjamin; Meckoni, Samuel Nestor; Friedhoff, Ronja; Wolff, Katharina; Pucker, Boas, 2025, "Genome sequence and annotation of Victoria cruziana", https://doi.org/10.60507/FK2/5DS0JZ, bonndata, V1
The genome of a Victoria cruziana plant was sequenced with nanopore long reads. The genome sequence was assembled with Verkko2, scaffolding was conducted with CPhasing and the gene models were predicted by BRAKER3 and GeMoMa. The functional annotation was predicted based on sequence similarity to well characterized Arabidopsis thaliana sequences. |
Jul 22, 2025 -
Genome sequence and annotation of Victoria cruziana
Plain Text - 5.5 KB -
MD5: a0e0115aace0787d4824afa79d4f4a0d
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Jul 22, 2025 -
Genome sequence and annotation of Victoria cruziana
Gzip Archive - 1.1 GB -
MD5: 47796d87218347dfcf56f5f4ec32dece
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Jul 16, 2025
Chong, Yue Linn, 2025, "MuST-C Dataset: The Multi-Sensor and Multi-Temporal Data Set of Multiple Crops for In-Field Phenotyping and Monitoring", https://doi.org/10.60507/FK2/OX9XTM, bonndata, V1
Phenotyping is crucial for understanding crop trait variation and advancing research, but is currently limited by expensive, labor-intensive monitoring. New phenotypic trait monitoring methods are being proposed to reduce this so-called phenotyping bottleneck via automation. These methods are often data-driven, requiring a dataset recorded with a s... |
Jul 16, 2025 -
MuST-C Dataset: The Multi-Sensor and Multi-Temporal Data Set of Multiple Crops for In-Field Phenotyping and Monitoring
Shapefile as ZIP Archive - 2.0 MB -
MD5: 9c70fd138fe386669ed38fccc4884dd1
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