Hyperspectral benchmark dataset on soil moisture

用于土壤湿度研究的基准高光谱数据集

A benchmark hyperspectral dataset for soil moisture research

原始信息汇总

数据集概述

农业

• Hyperspectral benchmark dataset on soil moisture: 链接: Hyperspectral benchmark dataset on soil moisture
• U.S. Department of Agricultures Nutrient Database: 链接: U.S. Department of Agricultures Nutrient Database
• U.S. Department of Agricultures PLANTS Database: 链接: U.S. Department of Agricultures PLANTS Database

生物学

• 1000 Genomes: 链接: 1000 Genomes
• American Gut (Microbiome Project): 链接: American Gut (Microbiome Project)
• Broad Bioimage Benchmark Collection (BBBC): 链接: Broad Bioimage Benchmark Collection (BBBC)
• Broad Cancer Cell Line Encyclopedia (CCLE): 链接: Broad Cancer Cell Line Encyclopedia (CCLE)
• Cell Image Library: 链接: Cell Image Library
• Complete Genomics Public Data: 链接: Complete Genomics Public Data
• EBI ArrayExpress: 链接: EBI ArrayExpress
• EBI Protein Data Bank in Europe: 链接: EBI Protein Data Bank in Europe
• ENCODE project: 链接: ENCODE project
• Electron Microscopy Pilot Image Archive (EMPIAR): 链接: Electron Microscopy Pilot Image Archive (EMPIAR)
• Ensembl Genomes: 链接: Ensembl Genomes
• Gene Expression Omnibus (GEO): 链接: Gene Expression Omnibus (GEO)
• Gene Ontology (GO) - GO annotation files: 链接: Gene Ontology (GO) - GO annotation files
• Global Biotic Interactions (GloBI): 链接: Global Biotic Interactions (GloBI)
• Harvard Medical School (HMS) LINCS Project: 链接: Harvard Medical School (HMS) LINCS Project
• Human Genome Diversity Project: 链接: Human Genome Diversity Project
• Human Microbiome Project (HMP): 链接: Human Microbiome Project (HMP)
• ICOS PSP Benchmark: 链接: ICOS PSP Benchmark
• International HapMap Project: 链接: International HapMap Project
• Journal of Cell Biology DataViewer: 链接: Journal of Cell Biology DataViewer
• KEGG - KEGG is a database resource for understanding high-level functions [...]: 链接: KEGG
• MIT Cancer Genomics Data: 链接: MIT Cancer Genomics Data
• NCBI Proteins: 链接: NCBI Proteins
• NCBI Taxonomy: 链接: NCBI Taxonomy
• NCI Genomic Data Commons: 链接: NCI Genomic Data Commons
• NIH Microarray data: 链接: NIH Microarray data
• OpenSNP genotypes data: 链接: OpenSNP genotypes data
• Pathguid - Protein-Protein Interactions Catalog: 链接: Pathguid - Protein-Protein Interactions Catalog
• Protein Data Bank: 链接: Protein Data Bank
• Psychiatric Genomics Consortium: 链接: Psychiatric Genomics Consortium
• PubChem Project: 链接: PubChem Project
• PubGene (now Coremine Medical): 链接: PubGene (now Coremine Medical)
• Sanger Catalogue of Somatic Mutations in Cancer (COSMIC): 链接: Sanger Catalogue of Somatic Mutations in Cancer (COSMIC)
• Sanger Genomics of Drug Sensitivity in Cancer Project (GDSC): 链接: Sanger Genomics of Drug Sensitivity in Cancer Project (GDSC)
• Sequence Read Archive(SRA): 链接: Sequence Read Archive(SRA)
• Stanford Microarray Data: 链接: Stanford Microarray Data
• Stowers Institute Original Data Repository: 链接: Stowers Institute Original Data Repository
• Systems Science of Biological Dynamics (SSBD) Database: 链接: Systems Science of Biological Dynamics (SSBD) Database
• The Cancer Genome Atlas (TCGA), available via Broad GDAC: 链接: The Cancer Genome Atlas (TCGA), available via Broad GDAC
• The Catalogue of Life: 链接: The Catalogue of Life
• The Personal Genome Project: 链接: The Personal Genome Project
• UCSC Public Data: 链接: UCSC Public Data
• UniGene: 链接: UniGene
• Universal Protein Resource (UnitProt): 链接: Universal Protein Resource (UnitProt)

气候+天气

• Actuaries Climate Index: 链接: Actuaries Climate Index
• Australian Weather: 链接: Australian Weather
• Aviation Weather Center - Consistent, timely and accurate weather [...]: 链接: Aviation Weather Center - Consistent, timely and accurate weather [...]
• Brazilian Weather - Historical data (In Portuguese) - Data related to [...]: 链接: Brazilian Weather - Historical data (In Portuguese) - Data related to [...]
• Canadian Meteorological Centre: 链接: Canadian Meteorological Centre
• Climate Data from UEA (updated monthly): 链接: Climate Data from UEA (updated monthly)
• Dutch Weather - The KNMI Data Center (KDC) portal provides access to KNMI [...]: 链接: Dutch Weather - The KNMI Data Center (KDC) portal provides access to KNMI [...]
• European Climate Assessment & Dataset: 链接: European Climate Assessment & Dataset
• Global Climate Data Since 1929: 链接: Global Climate Data Since 1929
• NASA Global Imagery Browse Services: 链接: NASA Global Imagery Browse Services
• NOAA Bering Sea Climate: 链接: NOAA Bering Sea Climate
• NOAA Climate Datasets: 链接: NOAA Climate Datasets
• NOAA Realtime Weather Models: 链接: NOAA Realtime Weather Models
• NOAA SURFRAD Meteorology and Radiation Datasets: 链接: NOAA SURFRAD Meteorology and Radiation Datasets
• The World Bank Open Data Resources for Climate Change: 链接: The World Bank Open Data Resources for Climate Change
• UEA Climatic Research Unit: 链接: UEA Climatic Research Unit
• WU Historical Weather Worldwide: 链接: WU Historical Weather Worldwide
• WorldClim - Global Climate Data: 链接: WorldClim - Global Climate Data

复杂网络

• AMiner Citation Network Dataset: 链接: AMiner Citation Network Dataset
• CrossRef DOI URLs: 链接: CrossRef DOI URLs
• DBLP Citation dataset: 链接: DBLP Citation dataset
• DIMACS Road Networks Collection: 链接: DIMACS Road Networks Collection
• NBER Patent Citations: 链接: NBER Patent Citations
• NIST complex networks data collection: 链接: NIST complex networks data collection
• Network Repository with Interactive Exploratory Analysis Tools: 链接: Network Repository with Interactive Exploratory Analysis Tools
• Protein-protein interaction network: 链接: Protein-protein interaction network
• PyPI and Maven Dependency Network: 链接: PyPI and Maven Dependency Network
• Scopus Citation Database: 链接: Scopus Citation Database
• Small Network Data: 链接: Small Network Data
• Stanford GraphBase: 链接: Stanford GraphBase
• Stanford Large Network Dataset Collection: 链接: Stanford Large Network Dataset Collection
• Stanford Longitudinal Network Data Sources: 链接: Stanford Longitudinal Network Data Sources
• The Koblenz Network Collection: 链接: The Koblenz Network Collection
• The Laboratory for Web Algorithmics (UNIMI): 链接: The Laboratory for Web Algorithmics (UNIMI)
• UCI Network Data Repository: 链接: UCI Network Data Repository
• UFL sparse matrix collection: 链接: UFL sparse matrix collection
• WSU Graph Database: 链接: WSU Graph Database

计算机网络

• 3.5B Web Pages from CommonCrawl 2012: 链接: 3.5B Web Pages from CommonCrawl 2012
• 53.5B Web clicks of 100K users in Indiana Univ.: 链接: 53.5B Web clicks of 100K users in Indiana Univ.
• CAIDA Internet Datasets: 链接: CAIDA Internet Datasets
• CRAWDAD Wireless datasets from Dartmouth Univ.: 链接: CRAWDAD Wireless datasets from Dartmouth Univ.
• ClueWeb09 - 1B web pages: 链接: ClueWeb09 - 1B web pages
• ClueWeb12 - 733M web pages: 链接: ClueWeb12 - 733M web pages
• CommonCrawl Web Data over 7 years: 链接: CommonCrawl Web Data over 7 years
• Criteo click-through data: 链接: Criteo click-through data
• Internet-Wide Scan Data Repository: 链接: Internet-Wide Scan Data Repository
• OONI: Open Observatory of Network Interference - Internet censorship data: 链接: OONI: Open Observatory of Network Interference - Internet censorship data
• Open Mobile Data by MobiPerf: 链接: Open Mobile Data by MobiPerf
• The Peer-to-Peer Trace Archive - Real-world measurements play a key role [...]: 链接: The Peer-to-Peer Trace Archive - Real-world measurements play a key role [...]
• Rapid7 Sonar Internet Scans: 链接: Rapid7 Sonar Internet Scans
• UCSD Network Telescope, IPv4 /8 net: 链接: UCSD Network Telescope, IPv4 /8 net

数据挑战

• Bruteforce Database: 链接: Bruteforce Database
• Challenges in Machine Learning: 链接: [Challenges in Machine Learning

搜集汇总

数据集介绍

构建方式

该数据集通过收集和整理博客、回答和用户响应中的主题中心公共数据源而构建，涵盖了农业、生物学、气候和天气等多个领域。

特点

数据集特点包括数据质量高、来源多样，大部分数据集免费，部分数据集可能需要付费。数据集涵盖了从农业到地理信息系统等多个领域的公共数据。

使用方法

用户可以通过数据集提供的链接直接访问和下载数据。每个数据集的详情页面都包含了数据集的描述、构建方式和使用说明，方便用户了解和使用数据集。

背景与挑战

背景概述

Hyperspectral benchmark dataset on soil moisture 是一个专门针对土壤湿度研究的高光谱数据集。该数据集的创建旨在为研究人员提供一个标准的、可重复的实验平台，以促进土壤湿度估算技术的发展。该数据集由多个场景组成，每个场景都包含了对应的高光谱图像及其土壤湿度参考值。它是在农业遥感领域内，对土壤湿度进行监测和评估的重要资源。该数据集的创建时间为2018年，由Sorour Mo等人主导，并在GitHub上公开分享，以供全球研究人员使用。

当前挑战

该数据集在构建过程中遇到的挑战主要包括：1) 高光谱图像数据的获取与处理，这需要专业的设备和复杂的数据处理流程；2) 土壤湿度参考值的准确测量，这涉及到土壤采样、实验室分析和数据校正等多个步骤；3) 数据集的标准化和文档化，以确保数据的可靠性和可重复性。此外，在研究领域问题方面，该数据集面临的挑战包括：如何利用高光谱数据更准确地估算土壤湿度，以及如何处理和分析大规模的高光谱数据集，以提取有用的信息。

常用场景

经典使用场景

Hyperspectral benchmark dataset on soil moisture被广泛用于土壤湿度监测领域，其经典的使用场景包括农业水资源管理、生态环境监测以及灾害预警等。该数据集提供了高光谱图像和相应的土壤湿度标签，研究人员可以利用这些数据来训练和验证机器学习模型，从而实现对土壤湿度的准确预测。

实际应用

在实际应用中，Hyperspectral benchmark dataset on soil moisture可用于农业生产中的灌溉管理，帮助农民根据土壤湿度数据做出更科学的灌溉决策。此外，它还可以用于生态环境监测，为环境保护提供数据支持，以及在灾害预警中，通过监测土壤湿度来预测洪水等自然灾害的发生。

衍生相关工作

基于Hyperspectral benchmark dataset on soil moisture，衍生出了一系列相关研究工作。包括开发新的土壤湿度监测算法、构建基于高光谱数据的土壤湿度预测模型，以及将这一数据集应用于不同地区的土壤湿度监测项目。这些工作进一步扩展了数据集的应用范围，推动了相关领域的研究进展。