511 to 520 of 24,625 Results
Gzip Archive - 209.1 MB -
MD5: 0aea701d3b12a31112d270d8e39e75aa
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Gzip Archive - 78.3 MB -
MD5: c8706a07e29891575ec6d847846336b8
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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 26, 2026 - Bonn Center for Digital Humanities
Pathé, Philippe, 2026, "HERA - Heritage Environments in Research and Academia", https://doi.org/10.60507/FK2/S6B1DF, bonndata, V1
HERA is a hybrid virtual reality application developed specifically for use in academic research and teaching. It enables exploration and interaction with three-dimensional historical environments. |
Aug 26, 2026 -
HERA - Heritage Environments in Research and Academia
Plain Text - 5.4 KB -
MD5: 559d26b44c9a737280f8f6f04b0a2c39
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Aug 26, 2026 -
HERA - Heritage Environments in Research and Academia
ZIP Archive - 373.7 MB -
MD5: 8578c81b864e74e4a1a393d9cd60f0ed
Linux Server Build |
Aug 26, 2026 -
HERA - Heritage Environments in Research and Academia
Plain Text - 6.8 KB -
MD5: d0ad812c9b7183ac9dd1bde1aa37536a
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Aug 26, 2026 -
HERA - Heritage Environments in Research and Academia
ZIP Archive - 2.0 GB -
MD5: 2fe5b23050a86a8e26be5e9e3d7f2032
Windows Client Build |
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. |
