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Carolyn_Lawrence_Dill_GOMAP_Cowpea_JGI_IT97K-499-35_December_2022_v1.r1
This dataset generated by GOMAP is a high-coverage and reproducible functional annotation set based on Gene Ontology (GO) term assignments that covers all gene models in the JGI... -
Carolyn_Lawrence_Dill_GOMAP_Cotton_DOE-JGI_v2.1_June_2023_v2.r1
This dataset generated by GOMAP is a high-coverage and reproducible functional annotation set based on Gene Ontology (GO) term assignments that covers all gene models in... -
Carolyn_Lawrence_Dill_GOMAP_CommonBean_LIS_G19833_November_2022_v2.r1
This dataset generated by GOMAP is a high-coverage and reproducible functional annotation set based on Gene Ontology (GO) term assignments that covers all gene models in the... -
Carolyn_Lawrence_Dill_GOMAP_Coffee_CGH_v1.0_May_2023_v2.r1
This dataset generated by GOMAP is a high-coverage and reproducible functional annotation set based on Gene Ontology (GO) term assignments that covers all gene models in Coffea... -
Carolyn_Lawrence_Dill_GOMAP_Coffee_CGH_v1.0_June_2021.r1
This dataset generated by GOMAP is a high-coverage and reproducible functional annotation set based on Gene Ontology (GO) term assignments that covers all gene models in the... -
Carolyn_Lawrence_Dill_GOMAP_Canola_BnPIR_ZS11_March_2021.r1
This dataset generated by GOMAP is a high-coverage and reproducible functional annotation set based on Gene Ontology (GO) term assignments that covers all gene models in the... -
Carolyn_Lawrence_Dill_GOMAP_Cannabis_NCBI_cs10_2.0_October_2022_v1.r1
This dataset generated by GOMAP is a high-coverage and reproducible functional annotation set based on Gene Ontology (GO) term assignments that covers all gene models in NCBI... -
Carolyn_Lawrence_Dill_GOMAP_Cacao_NCBI_CriolloV2_March_2021.r1
This dataset generated by GOMAP is a high-coverage and reproducible functional annotation set based on Gene Ontology (GO) term assignments that covers all gene models in the... -
Carolyn_Lawrence_Dill_GOMAP_Cacao_NCBI_CriolloV2_December_2022_v2.r1
This dataset generated by GOMAP is a high-coverage and reproducible functional annotation set based on Gene Ontology (GO) term assignments that covers all gene models in the... -
Carolyn_Lawrence_Dill_GOMAP_Blueberry_GigaDB_v1.0_June_2021.r1
This dataset generated by GOMAP is a high-coverage and reproducible functional annotation set based on Gene Ontology (GO) term assignments that covers all gene models in the... -
Carolyn_Lawrence_Dill_GOMAP_Blueberry_GigaDB_Draper_v1.0_May_2023_v2.r1
This dataset generated by GOMAP is a high-coverage and reproducible functional annotation set based on Gene Ontology (GO) term assignments that covers all gene models in... -
Carolyn_Lawrence_Dill_GOMAP_Barrel_Clover_LIS_R108.gnmHiC_1.ann1.Y8NH_Novembe...
This dataset generated by GOMAP is a high-coverage and reproducible functional annotation set based on Gene Ontology (GO) term assignments that covers all gene models in the LIS... -
Carolyn_Lawrence_Dill_GOMAP_Barrel_Clover_LIS_A17.gnm5.ann1_6.L2RX_November_2...
This dataset generated by GOMAP is a high-coverage and reproducible functional annotation set based on Gene Ontology (GO) term assignments that covers all gene models in the LIS... -
Carolyn_Lawrence_Dill_GOMAP_Barley_IPK_cv_Morex_V3_June_2023_v1.r1
This dataset generated by GOMAP is a high-coverage and reproducible functional annotation set based on Gene Ontology (GO) term assignments that covers all gene models in Hordeum... -
Carolyn_Lawrence_Dill_GOMAP_Banana_NCBI_ASM31385v2_February_2021.r1
This dataset generated by GOMAP is a high-coverage and reproducible functional annotation set based on Gene Ontology (GO) term assignments that covers all gene models in the... -
Carolyn_Lawrence_Dill_GOMAP_Banana_NCBI_ASM31385v2_December_2022_v2.r1
This dataset generated by GOMAP is a high-coverage and reproducible functional annotation set based on Gene Ontology (GO) term assignments that covers all gene models in the... -
Bucksch_Liu_ThePlantPhenomeJournal_2023
Raw data to reproduce the results published in the corresponding paper -
Brassicaceae_lincRNAs
Files of use for examining lincRNAs in Brassicaceae -
Bangladesh Inundation History
The Bangladesh Inundation History dataset contains the model output published in the paper "Giezendanner et al. 2023, Inferring the past: a combined CNN--LSTM deep learning... -
BangladeshFloodData
BangladeshFloodData contains the data for the study "Sensitivity to Data Choice Across Scales for Index-Based Flood Insurance" which was submitted to AGU Earth's Future.