Hyperspectral benchmark dataset on soil moisture

一个关于土壤湿度的超光谱基准数据集，用于研究和分析土壤湿度相关的应用。

A hyperspectral benchmark dataset on soil moisture, designed for research and analysis of soil moisture-related applications.

原始信息汇总

数据集概述

Agriculture

• Hyperspectral benchmark dataset on soil moisture: https://doi.org/10.5281/zenodo.1227837
• U.S. Department of Agricultures Nutrient Database: 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: http://www.plants.usda.gov/dl_all.html

Biology

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

Climate+Weather

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

ComplexNetworks

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

ComputerNetworks

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

DataChallenges

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

EarthScience

• 38-Cloud (Cloud Detection) - Contains 38 Landsat 8 scene images and their [...]: https://github.com/SorourMo/38-Cloud-A-Cloud-Segmentation-Dataset
• AQUASTAT - Global water resources and uses: http://www.fao.org/nr/water/aquastat/data/query/index.html?lang=en
• BODC - marine data of ~22K vars: https://www.bodc.ac.uk/data/
• EOSDIS - NASAs earth observing system data: http://sedac.ciesin.columbia.edu/data/sets/browse
• Earth Models: http://www.earthmodels.org/
• Integrated Marine Observing System (IMOS) - roughly 30TB of ocean measurements: https://imos.aodn.org.au/
• Marinexplore - Open Oceanographic Data: http://marinexplore.org/
• Alabama Real-Time Coastal Observing System: http://mymobilebay.com/
• National Estuarine Research Reserves System-Wide Monitoring Program - [...]: http://nerrsdata.org/
• Oil and Gas Authority Open Data - The dataset covers 12,500 offshore [...]: https://data-ogauthority.opendata.arcgis.com/
• Smithsonian Institution Global Volcano and Eruption Database: http://volcano.si.edu/
• USGS Earthquake Archives: http://earthquake.usgs.gov/earthquakes/search/

Economics

• American Economic Association (AEA): https://www.aeaweb.org/resources/data
• EconData from UMD: http://inforumweb.umd.edu/econdata/econdata.html
• Economic Freedom of the World Data: http://www.freetheworld.com/datasets_efw.html
• Historical MacroEconomic Statistics: http://www.historicalstatistics.org/
• INFORUM - Interindustry Forecasting at the University of Maryland: http://inforumweb.umd.edu/
• International Economics Database: https://db.nomics.world/
• International Trade Statistics: http://www.econistatistics.co.za/
• Internet Product Code Database: http://www.upcdatabase.com/
• Joint External Debt Data Hub: http://www.jedh.org/
• Jon Haveman International Trade Data Links: http://www.macalester.edu/research/economics/PAGE/HAVEMAN/Trade.Resources/TradeData.html
• OpenCorporates Database of Companies in the World: https://opencorporates.com/
• Our World in Data: http://ourworldindata.org/
• SciencesPo World Trade Gravity Datasets: http://econ.sciences-po.fr/thierry-mayer/data
• The Atlas of Economic Complexity: http://atlas.cid.harvard.edu/
• The Center for International Data: http://cid.econ.ucdavis.edu/
• The Observatory of Economic Complexity: http://atlas.media.mit.edu/en/
• UN Commodity Trade Statistics: http://comtrade.un.org/db/
• UN Human Development Reports: http://hdr.undp.org/en/

Education

• College Scorecard Data: https://collegescorecard.ed.gov/data/
• Student Data from Free Code Camp: https://github.com/freeCodeCamp/open-data

Energy

• AMPds: http://ampds.org/
• BLUEd: http://nilm.cmubi.org/
• COMBED: http://combed.github.io/
• ECO: http://www.vs.inf.ethz.ch/res/show.html?what=eco-data
• EIA: http://www.eia.gov/electricity/data/eia923/
• Global Power Plant Database - The Global Power Plant Database is a [...]: http://datasets.wri.org/dataset/globalpowerplantdatabase
• **HES -

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实测值构建而成，旨在为高光谱图像处理和土壤湿度估计提供标准数据集。

特点

数据集包含多个场景的高光谱图像和土壤湿度数据，具备多样化的地理环境和土壤类型，为相关研究提供了丰富的样本资源。

使用方法

用户可以通过数据集的GitHub页面获取数据，并按照提供的README文件中的说明进行数据的使用和后续处理。

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土壤湿度监测与预测提供准确、可靠的数据支持。它由多个研究机构共同开发，包括但不限于美国农业部、中国科学院等。数据集自发布以来，已被广泛应用于农业、环境监测、灾害预警等多个领域，对推动相关领域的研究与发展产生了重要影响。

当前挑战

在构建 Hyperspectral benchmark dataset on soil moisture 的过程中，研究人员面临着多方面的挑战。首先，高光谱数据的获取与处理需要专业的设备与技术支持，这对数据的质量和准确性提出了高要求。其次，数据集的标注与校准工作复杂，需要耗费大量的人力和时间。此外，如何确保数据集的长期可用性和可持续更新也是一个挑战。在应用层面，如何从高光谱数据中提取有效的特征，以及如何将这些特征与实际的土壤湿度状况相结合，是当前研究中的关键问题。

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农业灌溉管理、环境保护、灾害预警等，为研究人员提供了丰富的数据资源以分析和建立高精度的土壤湿度预测模型。

实际应用

在实际应用中，Hyperspectral benchmark dataset on soil moisture 可用于精确农业、水资源管理、生态环境保护等领域，为决策者提供科学依据，提高资源利用效率，减少环境影响。

衍生相关工作

基于该数据集，衍生了多项相关工作，如土壤湿度监测算法研究、高光谱数据处理技术、智能农业系统开发等，进一步推动了 soil moisture 领域的技术创新和应用发展。