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
  • 来源: https://doi.org/10.5281/zenodo.1227837
• U.S. Department of Agricultures Nutrient Database
  • 来源: https://www.ars.usda.gov/northeast-area/beltsville-md/beltsville-human-nutrition-research-center/nutrient-data-laboratory/docs/sr28-download-files/
• U.S. Department of Agricultures PLANTS Database
  • 来源: http://www.plants.usda.gov/dl_all.html

生物学

• 1000 Genomes
  • 来源: http://www.1000genomes.org/data
• American Gut (Microbiome Project)
  • 来源: https://github.com/biocore/American-Gut
• Broad Bioimage Benchmark Collection (BBBC)
  • 来源: https://www.broadinstitute.org/bbbc
• Broad Cancer Cell Line Encyclopedia (CCLE)
  • 来源: http://www.broadinstitute.org/ccle/home
• Cell Image Library
  • 来源: http://www.cellimagelibrary.org
• Complete Genomics Public Data
  • 来源: http://www.completegenomics.com/public-data/69-genomes/
• EBI ArrayExpress
  • 来源: http://www.ebi.ac.uk/arrayexpress/
• EBI Protein Data Bank in Europe
  • 来源: http://www.ebi.ac.uk/pdbe/emdb/index.html/
• ENCODE project
  • 来源: https://www.encodeproject.org
• Electron Microscopy Pilot Image Archive (EMPIAR)
  • 来源: http://www.ebi.ac.uk/pdbe/emdb/empiar/
• Ensembl Genomes
  • 来源: http://ensemblgenomes.org/info/genomes
• Gene Expression Omnibus (GEO)
  • 来源: http://www.ncbi.nlm.nih.gov/geo/
• Gene Ontology (GO) - GO annotation files
  • 来源: http://geneontology.org/docs/download-go-annotations/
• Global Biotic Interactions (GloBI)
  • 来源: https://github.com/jhpoelen/eol-globi-data/wiki#accessing-species-interaction-data
• Harvard Medical School (HMS) LINCS Project
  • 来源: http://lincs.hms.harvard.edu
• Human Genome Diversity Project
  • 来源: http://www.hagsc.org/hgdp/files.html
• Human Microbiome Project (HMP)
  • 来源: http://www.hmpdacc.org/reference_genomes/reference_genomes.php
• ICOS PSP Benchmark
  • 来源: http://ico2s.org/datasets/psp_benchmark.html
• International HapMap Project
  • 来源: http://hapmap.ncbi.nlm.nih.gov/downloads/index.html.en
• Journal of Cell Biology DataViewer
  • 来源: http://jcb-dataviewer.rupress.org
• KEGG - KEGG is a database resource for understanding high-level functions [...]
  • 来源: http://www.genome.jp/kegg/
• MIT Cancer Genomics Data
  • 来源: http://www.broadinstitute.org/cgi-bin/cancer/datasets.cgi
• NCBI Proteins
  • 来源: http://www.ncbi.nlm.nih.gov/guide/proteins/#databases
• NCBI Taxonomy
  • 来源: http://www.ncbi.nlm.nih.gov/taxonomy
• NCI Genomic Data Commons
  • 来源: https://gdc.cancer.gov/access-data/gdc-data-portal
• NIH Microarray data
  • 来源: ftp://ftp.ncbi.nih.gov/pub/geo/DATA/supplementary/series/GSE6532/
• OpenSNP genotypes data
  • 来源: https://opensnp.org/
• Pathguid - Protein-Protein Interactions Catalog
  • 来源: http://www.pathguide.org/
• Protein Data Bank
  • 来源: http://www.rcsb.org/
• Psychiatric Genomics Consortium
  • 来源: https://www.med.unc.edu/pgc/downloads
• PubChem Project
  • 来源: https://pubchem.ncbi.nlm.nih.gov/
• PubGene (now Coremine Medical)
  • 来源: https://www.coremine.com/
• Sanger Catalogue of Somatic Mutations in Cancer (COSMIC)
  • 来源: http://cancer.sanger.ac.uk/cosmic
• Sanger Genomics of Drug Sensitivity in Cancer Project (GDSC)
  • 来源: http://www.cancerrxgene.org/
• Sequence Read Archive(SRA)
  • 来源: http://www.ncbi.nlm.nih.gov/Traces/sra/
• Stanford Microarray Data
  • 来源: http://smd.stanford.edu/
• Stowers Institute Original Data Repository
  • 来源: http://www.stowers.org/research/publications/odr
• Systems Science of Biological Dynamics (SSBD) Database
  • 来源: http://ssbd.qbic.riken.jp
• The Cancer Genome Atlas (TCGA), available via Broad GDAC
  • 来源: https://gdac.broadinstitute.org/
• The Catalogue of Life
  • 来源: http://www.catalogueoflife.org/content/annual-checklist-archive
• The Personal Genome Project
  • 来源: http://www.personalgenomes.org/
• UCSC Public Data
  • 来源: http://hgdownload.soe.ucsc.edu/downloads.html
• UniGene
  • 来源: http://www.ncbi.nlm.nih.gov/unigene
• Universal Protein Resource (UnitProt)
  • 来源: http://www.uniprot.org/downloads

气候+天气

• Actuaries Climate Index
  • 来源: http://actuariesclimateindex.org/data/
• Australian Weather
  • 来源: http://www.bom.gov.au/climate/dwo/
• Aviation Weather Center - Consistent, timely and accurate weather [...]
  • 来源: https://aviationweather.gov/adds/dataserver
• Brazilian Weather - Historical data (In Portuguese) - Data related to [...]
  • 来源: http://sinda.crn.inpe.br/PCD/SITE/novo/site/historico/index.php
• Canadian Meteorological Centre
  • 来源: http://weather.gc.ca/grib/index_e.html
• Climate Data from UEA (updated monthly)
  • 来源: http://www.cru.uea.ac.uk/data/
• European Climate Assessment & Dataset
  • 来源: http://eca.knmi.nl/
• Global Climate Data Since 1929
  • 来源: http://en.tutiempo.net/climate
• NASA Global Imagery Browse Services
  • 来源: https://wiki.earthdata.nasa.gov/display/GIBS
• NOAA Bering Sea Climate
  • 来源: http://www.beringclimate.noaa.gov/
• NOAA Climate Datasets
  • 来源: http://www.ncdc.noaa.gov/data-access/quick-links
• NOAA Realtime Weather Models
  • 来源: http://www.ncdc.noaa.gov/data-access/model-data/model-datasets/numerical-weather-prediction
• NOAA SURFRAD Meteorology and Radiation Datasets
  • 来源: https://www.esrl.noaa.gov/gmd/grad/stardata.html
• The World Bank Open Data Resources for Climate Change
  • 来源: http://data.worldbank.org/developers/climate-data-api
• UEA Climatic Research Unit
  • 来源: http://www.cru.uea.ac.uk/data
• WU Historical Weather Worldwide
  • 来源: https://www.wunderground.com/history/index.html
• WorldClim - Global Climate Data
  • 来源: http://www.worldclim.org

复杂网络

• AMiner Citation Network Dataset
  • 来源: http://aminer.org/citation
• CrossRef DOI URLs
  • 来源: https://archive.org/details/doi-urls
• DBLP Citation dataset
  • 来源: https://kdl.cs.umass.edu/display/public/DBLP
• DIMACS Road Networks Collection
  • 来源: http://www.dis.uniroma1.it/challenge9/download.shtml
• NBER Patent Citations
  • 来源: http://nber.org/patents/
• NIST complex networks data collection
  • 来源: http://math.nist.gov/~RPozo/complex_datasets.html
• Network Repository with Interactive Exploratory Analysis Tools
  • 来源: http://networkrepository.com/
• Protein-protein interaction network
  • 来源: http://vlado.fmf.uni-lj.si/pub/networks/data/bio/Yeast/Yeast.htm
• PyPI and Maven Dependency Network
  • 来源: https://ogirardot.wordpress.com/2013/01/31/sharing-pypimaven-dependency-data/
• Scopus Citation Database
  • 来源: https://www.elsevier.com/solutions/scopus
• Small Network Data
  • 来源: http://www-personal.umich.edu/~mejn/netdata/
• Stanford GraphBase
  • 来源: http://www3.cs.stonybrook.edu/~algorith/implement/graphbase/implement.shtml
• Stanford Large Network Dataset Collection
  • 来源: http://snap.stanford.edu/data/
• Stanford Longitudinal Network Data Sources
  • 来源: http://stanford.edu/group/sonia/dataSources/index.html
• The Koblenz Network Collection
  • 来源: http://konect.uni-koblenz.de/
• The Laboratory for Web Algorithmics (UNIMI)
  • 来源: http://law.di.unimi.it/datasets.php
• UCI Network Data Repository
  • 来源: https://networkdata.ics.uci.edu/resources.php
• UFL sparse matrix collection
  • 来源: http://www.cise.ufl.edu/research/sparse/matrices/
• WSU Graph Database
  • 来源: http://www.eecs.wsu.edu/mgd/gdb.html

计算机网络

• 3.5B Web Pages from CommonCrawl 2012
  • 来源: http://www.bigdatanews.com/profiles/blogs/big-data-set-3-5-billion-web-pages-made-available-for-all-of-us
• 53.5B Web clicks of 100K users in Indiana Univ.
  • 来源: http://cnets.indiana.edu/groups/nan/webtraffic/click-dataset/
• CAIDA Internet Datasets
  • 来源: http://www.caida.org/data/overview/
• CRAWDAD Wireless datasets from Dartmouth Univ.
  • 来源: https://crawdad.cs.dartmouth.edu/
• ClueWeb09 - 1B web pages
  • 来源: http://lemurproject.org/clueweb09/
• ClueWeb12 - 733M web pages
  • 来源: http://lemurproject.org/clueweb12/
• CommonCrawl Web Data over 7 years
  • 来源: http://commoncrawl.org/the-data/get-started/
• Criteo click-through data
  • 来源: http://labs.criteo.com/2015/03/criteo-releases-its-new-dataset/
• Internet-Wide Scan Data Repository
  • 来源: https://scans.io/
• OONI: Open Observatory of Network Interference - Internet censorship data
  • 来源: https://ooni.torproject.org/data/
• Open Mobile Data by MobiPerf
  • 来源: https://console.developers.google.com/storage/openmobiledata_public/
• The Peer-to-Peer Trace Archive - Real-world measurements play a key role [...]
  • 来源: http://p2pta.ewi.tudelft.nl/
• Rapid7 Sonar Internet Scans
  • 来源: https://sonar.labs.rapid7.com/
• UCSD Network Telescope, IPv4 /8 net
  • 来源: http://www.caida.org/projects/network_telescope/

数据挑战

• Bruteforce Database
  • 来源: https://github.com/duyetdev/bruteforce-database
• Challenges in Machine Learning
  • 来源: http://www.chalearn.org/
• CrowdANALYTIX dataX
  • 来源: http://data.crowdanalytix.com
• D4D Challenge of Orange
  • 来源: http://www.d4d.orange.com/en/home
• DrivenData Competitions for Social Good
  • 来源: http://www.drivendata.org/
• ICWSM Data Challenge (since 2009)
  • 来源: https://www.icwsm.org/2018/datasets/datasets/#obtaining
• KDD Cup by Tencent 2012
  • 来源: http://www.kddcup2012.org/
• Kaggle Competition Data
  • 来源: https://www.kaggle.com/
• Localytics Data Visualization Challenge
  • 来源: https://github.com/localytics/data-viz-challenge
• Netflix Prize
  • 来源: http://netflixprize.com/leaderboard.html
• Space Apps Challenge
  • 来源: https://2015.spaceappschallenge.org
• Telecom Italia Big Data Challenge
  • 来源: https://dandelion.eu/datamine/open-big-data/
• TravisTorrent Dataset - MSR2017 Mining Challenge
  • 来源: https://travistorrent.testroots.org/
• TunedIT - Data mining & machine learning data sets, algorithms, challenges
  • 来源: http://tunedit.org/challenges/
• Yelp Dataset Challenge
  • 来源: http://www.yelp.com/dataset_challenge

地球科学

• 38-Cloud (Cloud Detection) - Contains 38 Landsat 8 scene images and their [...]
  • 来源: https://github.com/SorourMo/38-Cloud-A-Cloud-Segmentation-Dataset
• AQUASTAT - Global water resources and uses
  • 来源: http://www.fao.org/nr/water/aquastat/data/query/index.html?lang=en
• BODC - marine data of ~22K vars
  • 来源: https://www.bodc.ac.uk/data/
• EOSDIS - NASAs earth observing system data
  • 来源: http://sedac.ciesin.columbia.edu/data/sets/browse
• Earth Models
  • 来源: http://www.earthmodels.org/
• Integrated Marine Observing System (IMOS) - roughly 30TB of ocean measurements
  • 来源: https://imos.aodn.org.au
• Marinexplore - Open Oceanographic Data
  • 来源: http://marinexplore.org/
• Alabama Real-Time Coastal Observing System
  • 来源: http://mymobilebay.com/
• **National

搜集汇总

数据集介绍

构建方式

该数据集通过收集高光谱图像以及相应的土壤湿度地面真实值构建而成，旨在为高光谱图像处理和土壤湿度估算提供标准化数据。

特点

数据集具有高光谱图像分辨率高、土壤湿度数据真实可靠、数据标注精确等特点，适用于机器学习和遥感领域的研究。

使用方法

用户可以通过数据集的GitHub页面下载相关数据，并按照数据使用协议进行应用。数据集包含了图像数据和土壤湿度标签，可以直接用于模型训练和评估。

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检测提供标准化和高质量的数据资源，以便研究人员能够在此基础上开展相关算法和模型的研究。该数据集由多个研究人员和机构合作完成，主要研究问题是土壤湿度的准确检测与分类。自从发布以来，它在农业遥感领域产生了广泛的影响，为相关领域的研究提供了重要的数据支持。

当前挑战

在构建 Hyperspectral benchmark dataset on soil moisture 的过程中，研究人员面临了多个挑战。首先，高光谱数据的获取和处理需要专业的设备和技术，这对数据的质量和控制提出了较高的要求。其次，土壤湿度作为一个复杂的自然环境变量，其影响因素众多，如何在数据集中准确反映这些因素是一个难点。此外，数据集的标准化和可重复性也是构建过程中需要重点考虑的问题，以确保数据集能够被广泛的应用和研究。

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，进而为农业生产、水资源管理等领域提供科学依据。

实际应用

在实际应用中，Hyperspectral benchmark dataset on soil moisture可用于开发智能农业系统，通过实时监测土壤湿度状况，指导农业灌溉决策，减少水资源浪费，同时也能为环境保护和灾害预防提供数据支持。

衍生相关工作

基于该数据集，衍生出了一系列相关的研究工作，包括土壤湿度监测算法的开发、高光谱图像处理技术的改进以及智能农业系统的构建等，推动了土壤湿度监测领域的研究进展和技术创新。