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

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

• 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/
• Dutch Weather - The KNMI Data Center (KDC) portal provides access to KNMI [...]: https://data.knmi.nl/datasets
• European Climate Assessment & Dataset: https://www.ecad.eu/
• 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/
• MIRAGE-2019 - MIRAGE-2019 is a human-generated dataset for mobile traffic [...]: http://traffic.comics.unina.it/mirage/
• 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/
• DBnomics – the worlds economic database - Aggregates hundreds of [...]: 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

搜集汇总

数据集介绍

构建方式

Hyperspectral benchmark dataset on soil moisture 是一个针对土壤湿度的高光谱数据集，它通过收集多个场景的高光谱图像和相应的土壤湿度地面实况数据，构建而成。该数据集的构建目的是为了提供一种标准化的评估方法，用于评估和比较不同高光谱图像处理算法在土壤湿度估算方面的性能。

特点

该数据集的特点在于其高质量的高光谱图像数据和精确的土壤湿度地面实况数据。它包含了多种土壤类型和环境条件下的图像，能够满足不同场景下的土壤湿度估算需求。此外，数据集的开放性和标准化也为研究者提供了便利，使得他们能够更容易地进行算法开发和性能评估。

使用方法

使用该数据集时，研究者可以下载高光谱图像和土壤湿度数据，并在自己的算法中应用这些数据进行训练和测试。数据集提供了详细的文档和元数据，帮助用户理解数据结构和如何正确使用数据。此外，数据集的开放性也允许用户根据自己的需求进行扩展和二次开发。

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提供一个可靠的标准数据源，以促进相关算法和模型的发展。该数据集由多个研究机构和专家共同完成，其中包括来自农业、地理信息系统和遥感领域的研究成果。自发布以来，它已经在土壤湿度监测、农业水资源管理和环境监测等领域产生了广泛的影响。

当前挑战

在构建 Hyperspectral benchmark dataset on soil moisture 的过程中，研究人员面临着多个挑战。首先，高光谱数据的收集和处理需要精密的仪器和复杂的技术，这对数据质量提出了极高的要求。其次，数据集的标注和验证需要专业知识和人工参与，确保数据的准确性和可靠性。此外，如何确保数据集的长期可用性和维护也是一个挑战，因为这需要持续的更新和技术的适应性。

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，它提供了大量关于土壤湿度的高光谱图像数据，可用于训练和验证机器学习模型，以提高土壤湿度预测的准确性。

实际应用

在实际应用中，Hyperspectral benchmark dataset on soil moisture 可用于精准农业，帮助农民根据土壤湿度进行灌溉决策，从而节约水资源，提高作物产量。

衍生相关工作

基于该数据集，研究人员已经开展了一系列相关工作，如土壤湿度估计算法的研究、高光谱图像处理技术的开发等，这些研究进一步推动了土壤湿度监测领域的发展。