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Genomes To Fields 2014 v.2 - deprecated
Data types in this directory tree are: hybrid and inbred agronomic and performance traits; inbred genotypic data; and environmental data collected from the Genomes To Fields... -
Hyper-resolution continental aquifer parameterization
Description: This dataset contains the new estimates of aquifer thickness and transmissivity as presented in the paper of de Graaf et al. (in press) in Fig. 4, 5 and A2. In the... -
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... -
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.... -
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... -
Data to support Condon and Maxwell (2019), ParFlow CONUS1.0 Groundwater Depletions
["If you are using this dataset please refer to and cite: Condon, L., and R. Maxwell (2019), Simulating the sensitivity of evapotranspiration and streamflow to large-scale... -
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... -
Carolyn_Lawrence_Dill_GOMAP_Tea_TPIA_CSS_ChrLev_20200506_September_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 TPIA... -
Carolyn_Lawrence_Dill_GOMAP_Tea_Teabase_CSS_ChrLev_20200506_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... -
Carolyn_Lawrence_Dill_GOMAP_Sugar_Pine_TreeGenes_v1.5_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 Pinus... -
GOMAP TreeGenesDB sugar pine assembly v1.5
This dataset generated by GOMAP is a high-coverage and reproducible functional annotation set based on Gene Ontology (GO) term assignments that covers all TreeGenesDB sugar pine...