1,601 datasets found for "b78채널방DB업자✔️)텔ErrorBasedl"
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Federal
Data from: Datasets for transcriptomic analyses of maize leaves in response to Asian corn borer feeding and/or jasmonic acid
Department of Agriculture —
Corn (Zea mays) is one of the most widely grown crops throughout the world. However, many corn fields develop pest problems such as corn borers every year that... -
Federal
Data from: ECB-WQ: A Long-Term Agroecosystem Research (LTAR) - Eastern Corn Belt node field-scale water quality dataset
Department of Agriculture —
The ECB-WQ database is comprised of hydrology and water quality data from three privately owned farms in Northwest Ohio and Northeast Indiana (USA). Specifically, the... -
Federal
Water Erosion Prediction Project (WEPP)
Department of Agriculture —
The Water Erosion Prediction Project (WEPP) model is a process-based, distributed parameter, continuous simulation, erosion prediction model for use on personal... -
Federal
<b>Data from: </b><b>Soil Responses to Inclusion of Corn, Soybean, and Cover Crops under Rainfed Conditions in the Northern Great Plains</b>
Department of Agriculture —
Increased prevalence of corn (Zea mays L.) and soybean [Glycine max (L.) Merr.] throughout the northern Great Plains has impacted the delivery of ecosystem services... -
Federal
US Federal LCA Commons Life Cycle Inventory Unit Process Template
Department of Agriculture —
An excel template with data elements and conventions corresponding to the openLCA unit process data model. Includes LCA Commons data and metadata guidelines and... -
Federal
Data from: A randomized controlled trial of positive outcome expectancies during high-intensity interval training in inactive adults
Department of Agriculture —
Includes accelerometer data using an ActiGraph to assess usual sedentary, moderate, vigorous, and very vigorous activity at baseline, 6 weeks, and 10 weeks. Includes... -
Federal
Stakeholder Engagement with Soil Testing: Practices and perspectives in U.S. agriculture
Department of Agriculture —
The Fertilizer Recommendation Support Tool (FRST; https://soiltestfrst.org/) project and Agricultural Laboratory Testing Association (ALTA) conducted a survey of... -
Federal
Data from: Integrated Crops and Livestock in Central North Dakota, USA: Agroecosystem Management to Buffer Soil Change
Department of Agriculture —
Integrated crop-livestock systems have been identified as having positive agronomic and environmental outcomes, but information documenting their long-term impact on... -
Federal
Data from: Yield and profit comparison of diversified versus conventional crop rotation systems in South Dakota
Department of Agriculture —
Diversified crop rotations with no-till management are considered fundamental to sustainable agroecosystems; however, associated uncertainty in economic returns may... -
Federal
Revised Universal Soil Loss Equation, Version 2 (RUSLE2)
Department of Agriculture —
RUSLE2 is a program used to evaluate potential erosion rates at specific sites as well as guide conservation and erosion control planning. It also provides economic... -
Federal
USDA's Expanded Flavonoid Database for the Assessment of Dietary Intakes, Release 1.1 - December 2015
Department of Agriculture —
This database was developed with support from the Office of Dietary Supplements, National Institutes of Health for flavonoid intake studies. The database is a useful... -
Federal
Data from: Behavioral and physiological response of <i>Eucosma giganteana </i>to semiochemicals from conspecifics and <i>Silphium integrifolium</i>
Department of Agriculture —
Trapping in 2023 with a linear set of dosages of (E)-8-dodecenyl acetateField trapping was done according to the methodology in Ruiz et al. 2022. The fields were... -
Federal
Data and Code from: Smart vision-based monitoring system for AI-driven moth population estimation using camera-equipped trap imaging
Department of Agriculture —
Real-time, image-based monitoring for stored product insect pests could increase timely treatments and protection for postharvest products throughout the supply... -
Federal
Asian giant hornet, Vespa mandarinia, genome assembly
Department of Agriculture —
The Asian giant hornet, Vespa mandarinia, has a native range that extends from northern India to East Asia. In 2019, the hornet was confirmed for the first time in... -
Federal
The Long-Term Agroecosystem Research (LTAR) Network Standard GIS Data Layers, 2020 version
Department of Agriculture —
The USDA Long-Term Agroecosystem Research was established to develop national strategies for sustainable intensification of agricultural production. As part of the... -
Federal
Data from: A High-Quality Genome Assembly from a Single, Field-collected Spotted Lanternfly (Lycorma delicatula) using the PacBio Sequel II System
Department of Agriculture —
A high-quality reference genome is an essential tool for applied and basic research on arthropods. Long-read sequencing technologies may be used to generate more... -
Federal
iStitch: GUI-based Image Stitching Software
Department of Agriculture —
GUI-based software coded in PYTHON to automate image stitching and alignment processes from a set of tile images for the high throughput image analytics by... -
Federal
Cacao Genome Database
Department of Agriculture —
Not only is cacao the basic ingredient in the world’s favorite confection, chocolate, but it provides a livelihood for over 6.5 million farmers in Africa, South... -
Federal
Weevils of North America (WoNA)
Department of Agriculture —
The Weevils of North America (WoNA) (http://symbiota4.acis.ufl.edu/scan/portal/checklists/checklist.php?cl=1) is an emerging resource for occurrence information,... -
Federal
Data from: Bran data of total flavonoid and total phenolic contents, oxygen radical absorbance capacity, and profiles of proanthocyanidins and whole grain physical traits of 32 red and purple rice varieties
Department of Agriculture —
Phytochemicals in red and purple bran rice have potential health benefit to humans. The phytochemicals in brans of 32 red and purple global rice varieties are...
1,601 datasets found for "b78채널방DB업자✔️)텔ErrorBasedl"