AgBioData
AgBioData is a consortium of people working at agricultural biological databases, data archives and knowledgebases who strives to identify common issues in database development, curation, and management, with the goal of creating database products that are more Findable, Accessible, Interoperable, and Reusable (FAIR). Currently, there are over 150 people from 30 different databases and resources within the AgBioData consortium. We strive to promote authentic, detailed and accurate communication between all parties involved in scientific data.
For all agriculturally database personnel, we recommend joining the AgBioData consortium, attending the monthly conference call seminars, joining a working group, and working with your counterparts in other databases. A little time invested now in working together and applying common standards can save a lot of time later and prevent duplicated efforts in the development of tools and resources.
AgBioData Datasets
37 datasets
Data from: Mapping the Quantitative Field Resistance to Stripe Rust in a Hard Winter Wheat Population ‘Overley’ × ‘Overland’
This study was conducted to identify quantitative trait loci (QTL) associated with field resistance to stripe rust, also known as yellow rust (YR), in hard winter wheat. Stripe rust infection type and severity were rated in recombinant inbred lines (RILs, n=204) derived from a cross between hard red winter wheat cultivars ‘Overley’ and ‘Overland’ in replicated field trials in the Great Plains and Pacific Northwest.
The Animal Quantitative Trait Loci Database (Animal QTLdb)
The Animal Quantitative Trait Loci (QTL) Database (Animal QTLdb) strives to collect all publicly available trait mapping data, i.e. QTL (phenotype/expression, eQTL), candidate gene and association data (GWAS), and copy number variations (CNV) mapped to livestock animal genomes, in order to facilitate locating and comparing discoveries within and between species. New data and database tools are continually developed to align various trait mapping data to map-based genome features such as annotated genes.
Initial set of gene ontology (GO) terms for the D v virgifera GCF_003013835.1 RefSeq protein models
Gene ontologies generated using GOanna with a standard pipeline (https://agbase-docs.readthedocs.io/en/latest/goanna/using_goanna_cmd.html; default settings) with queries against the invertebrate subsection of the UniProt database.
Raw Sequences of 17 Aspergillus Genomes from Ethiopia
Raw genome sequencing data of 17 isolates of Aspergillus flavus and Aspergillus parasiticus collected from peanuts from Ethiopia. These isolates were selected as representative of the genetic diversity of Aspergillus section Flavi found colonizing peanut seeds in four peanut-farming districts of Ethiopia, these are Darolabu, Gursum, Fedis, and Babile.
- 34x bin
CottonGen: Cotton Database Resources
CottonGen (https://www.cottongen.org) is a curated and integrated web-based relational database providing access to publicly available genomic, genetic and breeding data to enable basic, translational and applied research in cotton. Built using the open-source Tripal database infrastructure, CottonGen supersedes CottonDB and the Cotton Marker Database, which includes sequences, genetic and physical maps, genotypic and phenotypic markers and polymorphisms, quantitative trait loci (QTLs), pathogens, germplasm collections and trait evaluations, pedigrees, and relevant bibliographic citations, with enhanced tools for easier data sharing, mining, visualization, and data retrieval of cotton research data.
The Triticeae Toolbox
[The Triticeae Toolbox](https://triticeaetoolbox.org/) (T3) webportal hosts data generated by the Triticeae Coordinated Agricultural Project (CAP), funded by the National Institute for Food and Agriculture (NIFA) of the United States Department of Agriculture (USDA). T3 contains SNP, phenotypic, and pedigree data from wheat and barley germplasm in the Triticeae CAP integrating rapidly expanding DNA marker and sequence data with traditional phenotypic data.
Data from: Niche partitioning and coexistence of parasitoids of the same feeding guild introduced for biological control of an invasive forest pest
The data set is collected to evaluate if two parasitoids (Spathius galinae and Tetrastichus planipennisi), introduced for biocontrol of the invasive emerald ash borer (EAB), Agrilus planipennis, into North America have established niche-partitioning, co-existing populations following their sequential or simultaneous field releases to 12 hard-wood forests located in Midwest and Northeast regions of the United States.
TreeGenes
The TreeGenes database provides custom informatics tools to manage the flood of information resulting from high-throughput genomics projects in forest trees from sample collection to downstream analysis. This resource is enhanced with systems that are well connected with federated databases, automated data flows, machine learning analysis, standardized annotations and quality control processes. The database itself contains several curated modules that support the storage of data and provide the foundation for web-based searches and visualization tools.
i5K Workspace@NAL
The i5k Workspace @ NAL is a platform for communities around ‘orphaned’ arthropod genome projects to access, visualize, curate and disseminate their data.