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Influence of soil properties on selenium concentration in paddy soil and rice grains in the hilly regions of southern China
BackgroundSelenium (Se) is essential for human health and is predominantly obtained from dietary sources, particularly rice in Hunan Province, a...
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DOES - A multimodal dataset for supervised and unsupervised analysis of steel scrap
DOES - Dataset of European scrap classes. Today, scrap is already an important raw material for industry. Due to the transformation to green steel,...
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High-resolution Annual Dynamic dataset of Curve Number from 2008 to 2021 over Conterminous United States
The spatial distribution and data quality of curve number (CN) values determine the performance of hydrological estimations. However, existing CN...
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A long term global daily soil moisture dataset derived from AMSR-E and AMSR2 (2002–2019)
Long term surface soil moisture (SSM) data with stable and consistent quality are critical for global environment and climate change monitoring. L...
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A dataset of riverine nitrogen yield across watersheds in the Conterminous United States
Riverine nitrogen is a pivotal determinant influencing water quality in inland and coastal waters. Despite the recognized utility, no...
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Advancements in assessing soil health through functional traits and energy flow analysis of soil nematodes
We examined the development of soil nematodes ecological indices from the perspective of functional traits.
We found that soil nematode energy flow...
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Globe-LFMC 2.0, an enhanced and updated dataset for live fuel moisture content research
Globe-LFMC 2.0, an updated version of Globe-LFMC, is a comprehensive dataset of over 280,000 Live Fuel Moisture Content (LFMC) measurements. These...
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A global dataset for assessing nitrogen-related plant traits using drone imagery in major field crop species
Enhancing rapid phenoty** for key plant traits, such as biomass and nitrogen content, is critical for effectively monitoring crop growth and...
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Develo** high resolution monthly gridded precipitation dataset for Afghanistan
The analysis and sustainable management of water resources have been substantially hampered by the absence of optimum precipitation data in...
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Development of global monthly dataset of CMIP6 climate variables for estimating evapotranspiration
Reliable projection of evapotranspiration (ET) is important for planning sustainable water management for the agriculture field in the context of...
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Dataset Generation Methodology: Towards Application of Machine Learning in Industrial Water Treatment Security
Successful cyber attacks against industrial systems, such as water treatment systems, can lead to irreparable consequences for public health and the...
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WaterPairs: a paired dataset for underwater image enhancement and underwater object detection
Due to its importance in marine engineering and aquatic robotics, underwater image enhancement works as a preprocessing step to improve the...
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DustSCAN: A Five Year (2018-2022) Hourly Dataset of Dust Plumes From SEVIRI
Airborne mineral dust significantly impacts air quality, human health, and the global climate. Due to sparse ground sensors, particularly in source...
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Construction and validation of a simulated ground motion dataset for Turkey
A dataset of simulated ground motions is created for seven recorded and previously validated, along with three hypothetical earthquakes in Turkey....
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Arthropod Taxonomy Orders Object Detection in ArTaxOr dataset using YOLOX
The detection and classification of insect species represent challenging computer vision tasks that have significant applications in zoology and...
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An integrated machine-learning model for soil category classification based on CPT
Determining soil categories in geotechnical engineering is critical to ensuring building safety, optimizing structural design, and controlling...
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Manually annotated and curated Dataset of diverse Weed Species in Maize and Sorghum for Computer Vision
Sustainable weed management strategies are critical to feeding the world’s population while preserving ecosystems and biodiversity. Therefore,...
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IRPD: In-Field Radish Plant Dataset
In this study, we present an in-field radish plant dataset (IRPD) for the segmentation and counting of leaves. Precision agriculture requires such a... -
A labelled dataset to classify direct deforestation drivers from Earth Observation imagery in Cameroon
Understanding direct deforestation drivers at a fine spatial and temporal scale is needed to design appropriate measures for forest management and...
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Global spatial dataset of mangrove genus distribution in seaward and riverine margins
Mangroves are nature-based solutions for coastal protection however their ability to attenuate waves and stabilise and accrete sediment varies with...