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Gzip Archive - 209.1 MB - MD5: 0aea701d3b12a31112d270d8e39e75aa
Gzip Archive - 78.3 MB - MD5: c8706a07e29891575ec6d847846336b8
Aug 27, 2026
Bömer, Jonas; Marks, Elias; Ispizua Yamati, Facundo Ramón; Stachniss, Cyrill; Paulus, Stefan; Mahlein, Anne-Katrin, 2026, "Sugar4D", https://doi.org/10.60507/FK2/IS8YBZ, bonndata, V4
The Sugar4D project introduces a publicly available, high-quality 4D plant phenotyping dataset of sugar beet plants captured with terrestrial LiDAR. It provides densely sampled, temporally consistent point cloud data with detailed, point-wise organ-level annotations that enable tracking of individual leaves across growth stages. By combining annota...
Aug 27, 2026 - Sugar4D
Plain Text - 8.8 KB - MD5: 3959c3c687cf10f5b51b41bb03f95bd3
Readme file; In the current version, the readme file has been updated.
Aug 25, 2026 - Plant Biotechnology and Bioinformatics
Marín Recinos, María Fernanda; Ajayi, Blessing; Wolff, Katharina; Choudhary, Nancy; Vieira Salgado de Oliveira, Julie Anne; Pucker, Boas, 2026, "Theobroma cacao: Genome Sequences and Annotations", https://doi.org/10.60507/FK2/YQDFT4, bonndata, V1
The genomes of two Theobroma cacao plants were sequenced with Nanopore long reads. The genome sequence was assembled with hifiasm and the gene models were predicted by GeMoMa. The functional annotation was predicted based on sequence similarity to well characterized Arabidopsis thaliana sequences.
Markdown Text - 8.8 KB - MD5: 3ac82eef484de1d85bb01001e73da34e
Gzip Archive - 97.5 MB - MD5: b8e60a60cf1f53425372f4c62dfcde48
Unknown - 69.3 MB - MD5: f9d3deb72ac5c9aafc1d52230b1dcac0
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