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Predicting wetland soil properties using machine learning, geophysics, and soil measurement data
PurposeMachine learning models can improve the prediction of spatial variation of wetland soil properties, such as soil moisture content (SMC) and...
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A global daily evapotranspiration deficit index dataset for quantifying drought severity from 1979 to 2022
Droughts cause multiple ecological and social damages. Drought indices are key tools to quantify drought severity, but they are mainly limited to...
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A comparative study on different sediment yield models in an ungauged basin using CHIRPS dataset
Erosion has become one of the serious problems in recent years as the degradation of the valuable natural resource of soil is a major ecological...
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DEBBIES Dataset to study Life Histories across Ectotherms
Demographic models are used to explore how life history traits structure life history strategies across species. This study presents the DEBBIES...
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PADAPT 1.0 – the Pannonian Dataset of Plant Traits
The existing plant trait databases’ applicability is limited for studies dealing with the flora and vegetation of the eastern and central part of...
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Estimating soil–water characteristic curve (SWCC) using machine learning and soil micro-porosity analysis
This study explores soil water characteristic curve (SWCC) prediction through informatics and machine learning. Utilizing these techniques, SWCC...
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Global crop-specific nitrogen fertilization dataset in 1961–2020
Nitrogen (N) is an important nutrient for crop growth. However, the overuse of N fertilizers has led to a series of devastating global environmental...
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Soil Image Classification Using Transfer Learning Approach: MobileNetV2 with CNN
This paper presents a novel study on soil image classification, leveraging the synergistic potential of transfer learning and convolutional neural...
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A comprehensive dataset of environmentally contaminated sites in the state of São Paulo in Brazil
In the Brazilian state of São Paulo, contaminated sites (CSs) constitute threats to health, environment and socioeconomic situation of populations....
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Biogeographic patterns and drivers of soil viromes
Viruses are crucial in sha** soil microbial functions and ecosystems. However, studies on soil viromes have been limited in both spatial scale and...
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Tibetan Plateau Runoff and Evapotranspiration Dataset by an observation-constrained cryosphere-hydrology model
Runoff and evapotranspiration (ET) are pivotal constituents of the water, energy, and carbon cycles. This research presents a 5-km monthly gridded...
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Caravan - A global community dataset for large-sample hydrology
High-quality datasets are essential to support hydrological science and modeling. Several CAMELS (Catchment Attributes and Meteorology for...
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A comparative analysis of ensemble learning algorithms with hyperparameter optimization for soil liquefaction prediction
Accurate prediction of soil liquefaction potential is crucial for evaluating the stability of structures in earthquake regions. This study focuses on...
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A high spatial resolution dataset of China’s biomass resource potential
Assessing biomass resource potential is essential for China’s ambitious goals of carbon neutrality, rural revitalization, and poverty eradication. To...
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Response of soil hydrological processes to soil rock fragments: A global Meta-analysis
The rock fragment (RF) has been widely observed in the soil solum or on the soil surface. It regulates soil hydrological processes (SHPs) and thus...
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InsectSound1000 An insect sound dataset for deep learning based acoustic insect recognition
InsectSound1000 is a dataset comprising more than 169000 labelled sound samples of 12 insects. The insect sound level spans from very loud ( Bombus...
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SAWIT: A small-sized animal wild image dataset with annotations
Computer vision has found many applications in automatic wildlife data analytics and biodiversity monitoring. Automating tasks like animal...
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In situ observations of soil hydraulic properties and soil moisture in a high, cold mountainous area of the northeastern Qinghai-Tibet Plateau
Information on soil hydraulic properties (SHPs) and soil moisture (SM) is essential to understand and model water and energy cycles at terrestrial...
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Divergent data-driven estimates of global soil respiration
The release of carbon dioxide from the soil to the atmosphere, known as soil respiration, is the second largest terrestrial carbon flux after...
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A Large Ensemble Global Dataset for Climate Impact Assessments
We present a self-consistent, large ensemble, high-resolution global dataset of long‐term future climate, which accounts for the uncertainty in...
