Smartphone data

NIAID Data Ecosystem2026-03-10 收录

流域土壤属性预测

土壤有机碳与总氮估算

数据链接：

https://data.mendeley.com/datasets/vh4drky7np 数据链接链接失效反馈

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资源简介：

Data collected from images of soils based on RGB colour space and related to the TOC and TN of the soils determined by dry combustion.

创建时间：

2018-12-07

Predictive Modeling of Soil Types and Their Characteristics - supplementary data

流域土壤属性预测

地理空间土壤建模

The supplementary dataset accompanying a textbook "Cherlinka, Gallay, Dmytruk (2025) Predictive Modeling of Soil Types and Their Characteristics" contains the geospatial materials used throughout the

Zenodo2025-08-28 更新60

Analysed variables.

流域土壤属性预测

农业时间序列

aH, D and V of the previous year were used as explanatory variables while predicting the current year increments.bsoil variables characterise A-horizon.

Figshare2015-12-02 更新40

Depth to top of root or water soil restrictive layer (resdept) soil maps of the Upper Colorado River Basin

流域土壤属性预测

土壤限制层深度

The data here were originally posted to facilitate timely and transparent peer review. The final public data release with formal metadata is now available from at the following location: Nauman, T.W

NIAID Data Ecosystem10

Africa SoilGrids - Exchangeable calcium (Ca2+)

流域土壤属性预测

土壤化学分析

Exchangeable calcium (Ca2+; measured in 1M NH4OAc buffered at pH 7 with part of the data converted from data measured according to Mehlich 3) in cmolc/kg (fine earth) at 2 depth intervals (0-20 cm and

ISRIC Soil Data Hub50

Soil spectral library of Piauí State using machine learning for laboratory analysis in Northeastern Brazil

土壤光谱库

流域土壤属性预测

ABSTRACT Soil chemical and physical analyses are the major sources of data for agriculture. However, traditional soil analyses are time-consuming, not cost-efficient, and not environmentally friendly.

Figshare2021-03-01 更新30

Smartphone data

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