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DeGraaf_data_lateralFlow_comparison_Jan2022
This directory contains model parameterization (aquifer permeability), model outcomes (groundwater lateral flow, depletion, and groundwater discharge) and model evaluation outcomes -
MArVD2 data
Training, benchmarking, reference data, and a random forest model for novel archaeal virus identification from metagenomic data. This model can be implemented with MArVD2... -
B73 RefGen_v4cen - Manual Reassembly of the 106Mb of centromeric and...
Reassemblies of the centromeric regions of Zea mays B73 constructed from existing, and publicly available PacBio read data generated for the B73 RefGen_v4 sequencing project,... -
Maize G2F UAV Data, College Station, TX 2019
Images and generated orthomosaics from multiple UAV platforms of corn in the Genomes 2 Fields (G2F; https://www.genomes2fields.org/) project in College Station, TX, 2019 season.... -
UT_rw
Tree ring data from three species in Utah can be linked to forest inventory data managed by the Forest Inventory and Analysis (FIA) Program following scripts at... -
Copetti_Rabiosa_annotation_Feb2021
This dataset contains the genome assembly and its annotation for genes, repeats and transposable elements, tRNAs, and non-coding RNAs of the Italian ryegrass (Lolium... -
Gene annotation of the Fhb1 locus on the assembly of bread wheat variety Norin 61
gene prediction of an interval in the Norin 61 bread wheat genome assembly -
Perennial Ryegrass Kyuss genome annotation
files containing genome assembly and gene and repeat annotation of a ryegrass genome -
Genetic Architecture of Maize Kernel Composition in the Nested Association...
Data in this directory is associated with Cook et al., 2012, Plant Physiology. The data types in this directory tree are phenotypic data for the maize NAM population and 282... -
ParFlow CONUS1.0 Groundwater Depletions, Data to support Condon and Maxwell (2019)
This dataset contains the model simulations results behind all of the figures in Condon and Maxwell, 2019. The ReadMe file describes all of the files and how they were combined... -
Real and simulated maize images for leaf counting study
This image dataset contains 4,633 real and 4,060 simulated maize images. The real images were captured in the greenhouse of the University of Nebraska-Lincoln’s Greenhouse... -
High-throughput imaging and phenotyping dataset of C4 grain crops
The images collected here could potentially help the development of new crop growth models for proso, pearl, foxtail and Japanese millet and teff. Therefore these images can be... -
Carolyn_Lawrence_Dill_Maize_WiDiv_Summer_2021_Dataset_June_2023
This dataset was collected at Iowa State University's Agricultural Engineering and Agronomy Research Farms during the summer of 2021. The data are observations of 686 maize... -
Carolyn_Lawrence_Dill_Maize_WiDiv_Association_Studies_Dataset_September_2023
This dataset was generated using spoken phenotypic data (DOI 10.25739/pvx4-5j31), genotypic data (DOI 10.6084/m9.figshare.19175888.v1; DOI 10.1093/gigascience/giac080), and Gene... -
maize-GAMER Annotations for maize B73 RefGen_V4 Zm00001d.2
This dataset from maize-GAMER is a new high-coverage and reproducible functional annotation of maize protein coding genes based on Gene Ontology (GO) term assignments that... -
maize-GAMER
This dataset from maize-GAMER is a new high-coverage and reproducible functional annotation of maize protein coding genes based on Gene Ontology (GO) term assignments that... -
Carolyn_Lawrence_Dill_GOMAP_Wild_Tomato_SGN_LA716_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 Solanum... -
Carolyn_Lawrence_Dill_GOMAP_Wheat_URGI_IWGSC_RefSeq_v2.1_May_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... -
GOMAP Wheat Reference Sequences 1.1
This dataset generated by GOMAP is a high-coverage and reproducible functional annotation set based on Gene Ontology (GO) term assignments that covers all high confidence genes... -
Carolyn_Lawrence_Dill_GOMAP_Tomato_SGN_SL4.0_July_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 Solanum...