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License: CC BY 4.0

211 to 220 of 1,816 Results

Gene_Annotation_dataset.tar.gz Dec 18, 2025 - Supplementary data supporting the study: "Out of the blue: Family-wide loss of anthocyanin biosynthesis in Cucurbitaceae" Gzip Archive - 2.0 GB - MD5: 7b79b7bf905e7e72c5b234a3968b2971 Structural annotation of various datasets generated in the study using GeMoMa v1.9. Each subfolder contains the structural annotations in GFF3 (.gff3) format, predicted coding sequences as FASTA file (.cds.fa), and the predicted polypeptide sequences as FASTA file (.pep.fa) for the corresponding dataset. File names are based on the plant species na...
Gene_annotation_stats.csv Dec 18, 2025 - Supplementary data supporting the study: "Out of the blue: Family-wide loss of anthocyanin biosynthesis in Cucurbitaceae" Comma Separated Values - 7.5 KB - MD5: 8b6e314c149aa413049e66e977c863cb Statistics of gene annotation of 82 species and re-annotation of 7 species
Kraken_classification.csv Dec 18, 2025 - Supplementary data supporting the study: "Out of the blue: Family-wide loss of anthocyanin biosynthesis in Cucurbitaceae" Comma Separated Values - 34.6 KB - MD5: d03c4330afa93ae046f183653f66d1c6 Detailed results of Kraken and Bracken classification of all datasets
README.txt Dec 18, 2025 - Supplementary data supporting the study: "Out of the blue: Family-wide loss of anthocyanin biosynthesis in Cucurbitaceae" Plain Text - 17.0 KB - MD5: 09efa63aa55dec812e8d28aa1037efac README file describing the datasets and files overview
MuST-C Dataset: The Multi-Sensor and Multi-Temporal Data Set of Multiple Crops for In-Field Phenotyping and Monitoring Nov 13, 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, V3 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...
MuST-C_BonnData_Readme_v2.txt Nov 13, 2025 - MuST-C Dataset: The Multi-Sensor and Multi-Temporal Data Set of Multiple Crops for In-Field Phenotyping and Monitoring Plain Text - 7.4 KB - MD5: a7c75aa478988a893334219b6b791513
plot-wise_UAV1-RGB_plot162.zip Nov 13, 2025 - MuST-C Dataset: The Multi-Sensor and Multi-Temporal Data Set of Multiple Crops for In-Field Phenotyping and Monitoring ZIP Archive - 2.0 GB - MD5: 705ac56fa0f6036f05c879021d8c3553
plot-wise_UAV1-RGB_plot163.zip Nov 13, 2025 - MuST-C Dataset: The Multi-Sensor and Multi-Temporal Data Set of Multiple Crops for In-Field Phenotyping and Monitoring ZIP Archive - 1.9 GB - MD5: 5ccb35d4683f74f540b98e6519583284
plot-wise_UAV1-RGB_plot164.zip Nov 13, 2025 - MuST-C Dataset: The Multi-Sensor and Multi-Temporal Data Set of Multiple Crops for In-Field Phenotyping and Monitoring ZIP Archive - 1.9 GB - MD5: 13dce515af32d61390b6b1e32e7615a1
plot-wise_UAV1-RGB_plot165.zip Nov 13, 2025 - MuST-C Dataset: The Multi-Sensor and Multi-Temporal Data Set of Multiple Crops for In-Field Phenotyping and Monitoring ZIP Archive - 2.0 GB - MD5: 0903c185119cf97255d5267f4e0ed258

Gene_Annotation_dataset.tar.gz

Dec 18, 2025 - Supplementary data supporting the study: "Out of the blue: Family-wide loss of anthocyanin biosynthesis in Cucurbitaceae"

Gzip Archive - 2.0 GB -

Structural annotation of various datasets generated in the study using GeMoMa v1.9. Each subfolder contains the structural annotations in GFF3 (.gff3) format, predicted coding sequences as FASTA file (.cds.fa), and the predicted polypeptide sequences as FASTA file (.pep.fa) for the corresponding dataset. File names are based on the plant species na...

Gene_annotation_stats.csv

Dec 18, 2025 - Supplementary data supporting the study: "Out of the blue: Family-wide loss of anthocyanin biosynthesis in Cucurbitaceae"

Comma Separated Values - 7.5 KB -

Statistics of gene annotation of 82 species and re-annotation of 7 species

Kraken_classification.csv

Dec 18, 2025 - Supplementary data supporting the study: "Out of the blue: Family-wide loss of anthocyanin biosynthesis in Cucurbitaceae"

Comma Separated Values - 34.6 KB -

Detailed results of Kraken and Bracken classification of all datasets

README.txt

Dec 18, 2025 - Supplementary data supporting the study: "Out of the blue: Family-wide loss of anthocyanin biosynthesis in Cucurbitaceae"

Plain Text - 17.0 KB -

README file describing the datasets and files overview

MuST-C Dataset: The Multi-Sensor and Multi-Temporal Data Set of Multiple Crops for In-Field Phenotyping and Monitoring

Nov 13, 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, V3

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...

MuST-C_BonnData_Readme_v2.txt

Nov 13, 2025 - MuST-C Dataset: The Multi-Sensor and Multi-Temporal Data Set of Multiple Crops for In-Field Phenotyping and Monitoring

Plain Text - 7.4 KB -

plot-wise_UAV1-RGB_plot162.zip

Nov 13, 2025 - MuST-C Dataset: The Multi-Sensor and Multi-Temporal Data Set of Multiple Crops for In-Field Phenotyping and Monitoring

ZIP Archive - 2.0 GB -

plot-wise_UAV1-RGB_plot163.zip

Nov 13, 2025 - MuST-C Dataset: The Multi-Sensor and Multi-Temporal Data Set of Multiple Crops for In-Field Phenotyping and Monitoring

ZIP Archive - 1.9 GB -

plot-wise_UAV1-RGB_plot164.zip

Nov 13, 2025 - MuST-C Dataset: The Multi-Sensor and Multi-Temporal Data Set of Multiple Crops for In-Field Phenotyping and Monitoring

ZIP Archive - 1.9 GB -