Discriminating chert origins using machine-learning approaches

NIAID Data Ecosystem2026-03-14 收录

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Table S1 Major and trace elements of different cherts

创建时间：

2022-11-12

Review of application of machine learning models for short and mid term prediction of water levels and discharge

水文预测

水文地质机器学习

Review and proposal of thorough review of application of machine learning models for short and mid term prediction (forecasting) of water levels (stage) and discharge (streamflow, runoff, inflow). The

DataCite Commons2023-08-01 更新80

Research data supporting the manuscript “A machine learning framework for reliable prediction of open channel flow depth and velocity for hydraulic engineering applications”

明渠水流预测

水文地质机器学习

This dataset contains the input and output variables, processed data, and model-ready datasets used to develop and validate machine learning models for reliable prediction of open channel flow depth a

Mendeley Data60

Identifying serpentine minerals by their chemical compositions with machine learning (dataset and python code)

矿物化学分类

水文地质机器学习

The dataset and python code for the manuscript of Identifying serpentine minerals by their chemical compositions with machine learning (submitted to American Geologist)

Zenodo2023-01-19 更新30

Supporting information for "Detachment of the Subducting Slab in Ancient Subduction Zones Discerned Using Machine Learning"

板块俯冲动力学

水文地质机器学习

Supporting information for " Detachment of the Subducting Slab in Ancient Subduction Zones Discerned Using Machine Learning "

Figshare2024-11-09 更新70

Point data for four case studies related to testing of multi-order hydrologic position

水文地质机器学习

地下水位

The location of a point (or pixel) within the conterminous U.S. can be assigned based on its position relative to the Nation's stream network. Two metrics are recognized: lateral position (LP) and dis

U.S. Geological Survey2019-01-01 更新30

Discriminating chert origins using machine-learning approaches

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