Hyperspectral benchmark dataset on soil moisture

关于土壤湿度的超光谱基准数据集

A hyperspectral benchmark dataset on soil moisture

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): 链接: Gene Ontology (GO)
• 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)
• 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
• CrowdANALYTIX dataX: 链接: CrowdANALYTIX dataX
• D4D Challenge of Orange: 链接: [D4D Challenge of Orange](http

搜集汇总

数据集介绍

构建方式

该数据集通过收集和整理来自博客、答案和用户响应的与主题相关的公共数据源而构建，旨在提供高质量的数据集。

特点

数据集特点在于其主题集中、数据质量高，大部分数据集免费提供，涵盖农业、生物学、气候、复杂网络、计算机网络、数据挑战、地球科学、经济学、教育、能源、金融和GIS等多个领域。

使用方法

用户可以通过数据集的GitHub详情页面获取数据集的相关信息，包括数据集的描述、使用方法和相关链接，根据需求下载数据并进行相应的研究和分析。

背景与挑战

背景概述

Hyperspectral benchmark dataset on soil moisture 是一个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土壤湿度监测提供准确、可靠的数据支持，是由相关研究人员或机构在特定时间内完成的。它对于推动农业、环境监测等领域的发展具有重要意义，并已被广泛应用于相关研究和应用中，对相关领域产生了深远的影响。

当前挑战

在解决领域问题方面，Hyperspectral benchmark dataset on soil moisture 面临着如何准确分类和识别土壤湿度级别的挑战，这需要高度精确的数据处理和分析技术。在构建过程中，数据集的挑战主要包括数据的收集、标注、以及如何确保数据的质量和一致性。此外，由于高光谱数据的复杂性，处理和分析这些数据也需要特定的算法和技术支持。

常用场景

经典使用场景

Hyperspectral benchmark dataset on soil moisture 被广泛应用于土壤湿度监测领域，其经典使用场景包括利用高光谱图像分析技术对土壤湿度进行定量评估，为农业生产、水资源管理和环境保护等领域提供重要数据支持。

实际应用

在实际应用中，Hyperspectral benchmark dataset on soil moisture 被用于精确农业、环境监测和灾害预警等领域，为提高农业产量、优化水资源分配和减少环境风险提供了重要依据。

衍生相关工作

基于该数据集，衍生了一系列相关的研究工作，如土壤湿度预测模型、高光谱图像处理算法等，这些工作进一步推动了高光谱技术在土壤湿度监测领域的应用和发展。