This dataset contains GPP from Vegetation Photosynthesis Model (VPM) at two spatial resolution (0.05 and 0.5 degree) and three temporal resolution (8-day, monthly, annual). The units for the three temporal resolution are g C m-2 day-1, g C m-2 month-1, g C m-2 year-1, with no conversion factor.
Person detection from vehicles has made rapid progress recently with the advent of multiple high-quality datasets of urban and highway driving, yet no large-scale benchmark is available for the same problem in off-road or agricultural environments. Here we present the National Robotics Engineering Center (NREC) Agricultural Person-Detection Dataset to spur research in these environments. It consists of labeled stereo video of people in orange and apple orchards taken from two perception platforms (a tractor and a pickup truck), along with vehicle position data from Real Time Kinetic (RTK) GPS. We define a benchmark on part of the dataset that combines a total of 76k labeled person images and 19k sampled person-free images. The dataset highlights several key challenges of the domain, including varying environment, substantial occlusion by vegetation, people in motion and in nonstandard poses, and people seen from a variety of distances; metadata are included to allow targeted evaluation of each of these effects.
Phenocam images overlooking miscanthus field.
Phenocam images overlooking row crop field.
The PhenoCam network is collecting color and near infrared images year-round using cameras in fixed positions on agricultural lands including a site located on the Swan Lake Research Farm. The network effort was initiated in 2015 at this long-term, plot-scale research site. The camera at…
This dataset consists of four sets of flower images, from three different fruit tree species: apple, peach, and pear, and accompanying ground truth images. This data is provided to support a paper as well as to provide labeled data to the community for the development of new algorithms and models for object detection.
The Maize Genetics Cooperation Stock Center is operated by USDA/ARS, located at the University of Illinois, Urbana/Champaign, and integrated with the National Plant Germplasm System (NPGS). The center serves the maize research community by collecting, maintaining and distributing seeds of maize genetic stocks, and providing information about maize stocks and the mutations they carry through the Maize Genetics and Genomics Database (MaizeGDB).
Data from: Data on xylem sap proteins from Mn- and Fe-deficient tomato plants obtained using shotgun proteomics
Consolidated proteomic data identified and quantified by shotgun proteomics and Progenesis LC-MS analyses from xylem sap collected from tomato plants grown in Fe- and Mn-sufficient control, as well as Fe-deficient and Mn-deficient conditions, are presented.
Data from: Secretome data from Trichoderma reesei and Aspergillus niger cultivated in submerged and sequential fermentation methods
The cultivation procedure and the fungal strain applied for enzyme production may influence levels and profile of the proteins produced. The proteomic analysis data presented here provide critical information to compare proteins secreted by Trichoderma reesei and Aspergillus niger when cultivated through submerged and sequential fermentation processes, using steam-explosion sugarcane bagasse as inducer for enzyme production.
Data from: Forest harvest dataset for northern Colorado Rocky Mountains (1984–2015) generated from a Landsat time series and existing forest harvest records
This dataset provides a shapefile containing approximately 3500 polygons with the location, extent, size, and year of clearcut harvest events occurring between 1984 and 2015 in forested areas of northern Colorado.