Awesome Public Datasets
收藏github2019-03-13 更新2024-05-31 收录
下载链接:
https://github.com/flaviuvadan/awesome-public-datasets
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资源简介:
一个主题中心的高质量公共数据集列表,收集并整理自博客、问答和用户反馈。
A curated list of high-quality public datasets centered around specific themes, compiled from blogs, Q&A platforms, and user feedback.
创建时间:
2019-01-22
原始信息汇总
数据集概述
农业
- Hyperspectral benchmark dataset on soil moisture: 数据集链接: Hyperspectral benchmark dataset on soil moisture
- U.S. Department of Agricultures Nutrient Database: 数据集链接: U.S. Department of Agricultures Nutrient Database
- U.S. Department of Agricultures PLANTS Database: 数据集链接: U.S. Department of Agricultures PLANTS Database
生物学
- 1000 Genomes: 数据集链接: 1000 Genomes
- American Gut (Microbiome Project): 数据集链接: American Gut (Microbiome Project)
- Broad Bioimage Benchmark Collection (BBBC): 数据集链接: Broad Bioimage Benchmark Collection (BBBC)
- Broad Cancer Cell Line Encyclopedia (CCLE): 数据集链接: Broad Cancer Cell Line Encyclopedia (CCLE)
- Cell Image Library: 数据集链接: Cell Image Library
- Complete Genomics Public Data: 数据集链接: Complete Genomics Public Data
- EBI ArrayExpress: 数据集链接: EBI ArrayExpress
- EBI Protein Data Bank in Europe: 数据集链接: EBI Protein Data Bank in Europe
- ENCODE project: 数据集链接: ENCODE project
- Electron Microscopy Pilot Image Archive (EMPIAR): 数据集链接: Electron Microscopy Pilot Image Archive (EMPIAR)
- Ensembl Genomes: 数据集链接: Ensembl Genomes
- Gene Expression Omnibus (GEO): 数据集链接: Gene Expression Omnibus (GEO)
- Gene Ontology (GO): 数据集链接: Gene Ontology (GO)
- Global Biotic Interactions (GloBI): 数据集链接: Global Biotic Interactions (GloBI)
- Harvard Medical School (HMS) LINCS Project: 数据集链接: Harvard Medical School (HMS) LINCS Project
- Human Genome Diversity Project: 数据集链接: Human Genome Diversity Project
- Human Microbiome Project (HMP): 数据集链接: Human Microbiome Project (HMP)
- ICOS PSP Benchmark: 数据集链接: ICOS PSP Benchmark
- International HapMap Project: 数据集链接: International HapMap Project
- Journal of Cell Biology DataViewer: 数据集链接: Journal of Cell Biology DataViewer
- KEGG: 数据集链接: KEGG
- MIT Cancer Genomics Data: 数据集链接: MIT Cancer Genomics Data
- NCBI Proteins: 数据集链接: NCBI Proteins
- NCBI Taxonomy: 数据集链接: NCBI Taxonomy
- NCI Genomic Data Commons: 数据集链接: NCI Genomic Data Commons
- NIH Microarray data: 数据集链接: NIH Microarray data
- OpenSNP genotypes data: 数据集链接: OpenSNP genotypes data
- Pathguid - Protein-Protein Interactions Catalog: 数据集链接: Pathguid - Protein-Protein Interactions Catalog
- Protein Data Bank: 数据集链接: Protein Data Bank
- Psychiatric Genomics Consortium: 数据集链接: Psychiatric Genomics Consortium
- PubChem Project: 数据集链接: PubChem Project
- PubGene (now Coremine Medical): 数据集链接: PubGene (now Coremine Medical)
- Sanger Catalogue of Somatic Mutations in Cancer (COSMIC): 数据集链接: Sanger Catalogue of Somatic Mutations in Cancer (COSMIC)
- Sanger Genomics of Drug Sensitivity in Cancer Project (GDSC): 数据集链接: Sanger Genomics of Drug Sensitivity in Cancer Project (GDSC)
- Sequence Read Archive(SRA): 数据集链接: Sequence Read Archive(SRA)
- Stanford Microarray Data: 数据集链接: Stanford Microarray Data
- Stowers Institute Original Data Repository: 数据集链接: Stowers Institute Original Data Repository
- Systems Science of Biological Dynamics (SSBD) Database: 数据集链接: Systems Science of Biological Dynamics (SSBD) Database
- The Cancer Genome Atlas (TCGA), available via Broad GDAC: 数据集链接: The Cancer Genome Atlas (TCGA), available via Broad GDAC
- The Catalogue of Life: 数据集链接: The Catalogue of Life
- The Personal Genome Project: 数据集链接: The Personal Genome Project
- UCSC Public Data: 数据集链接: UCSC Public Data
- UniGene: 数据集链接: UniGene
- Universal Protein Resource (UnitProt): 数据集链接: Universal Protein Resource (UnitProt)
气候+天气
- Actuaries Climate Index: 数据集链接: Actuaries Climate Index
- Australian Weather: 数据集链接: Australian Weather
- Aviation Weather Center - Consistent, timely and accurate weather [...]: 数据集链接: Aviation Weather Center - Consistent, timely and accurate weather [...]
- Brazilian Weather - Historical data (In Portuguese) - Data related to [...]: 数据集链接: Brazilian Weather - Historical data (In Portuguese) - Data related to [...]
- Canadian Meteorological Centre: 数据集链接: Canadian Meteorological Centre
- Climate Data from UEA (updated monthly): 数据集链接: Climate Data from UEA (updated monthly)
- European Climate Assessment & Dataset: 数据集链接: European Climate Assessment & Dataset
- Global Climate Data Since 1929: 数据集链接: Global Climate Data Since 1929
- NASA Global Imagery Browse Services: 数据集链接: NASA Global Imagery Browse Services
- NOAA Bering Sea Climate: 数据集链接: NOAA Bering Sea Climate
- NOAA Climate Datasets: 数据集链接: NOAA Climate Datasets
- NOAA Realtime Weather Models: 数据集链接: NOAA Realtime Weather Models
- NOAA SURFRAD Meteorology and Radiation Datasets: 数据集链接: NOAA SURFRAD Meteorology and Radiation Datasets
- The World Bank Open Data Resources for Climate Change: 数据集链接: The World Bank Open Data Resources for Climate Change
- UEA Climatic Research Unit: 数据集链接: UEA Climatic Research Unit
- WU Historical Weather Worldwide: 数据集链接: WU Historical Weather Worldwide
- WorldClim - Global Climate Data: 数据集链接: WorldClim - Global Climate Data
复杂网络
- AMiner Citation Network Dataset: 数据集链接: AMiner Citation Network Dataset
- CrossRef DOI URLs: 数据集链接: CrossRef DOI URLs
- DBLP Citation dataset: 数据集链接: DBLP Citation dataset
- DIMACS Road Networks Collection: 数据集链接: DIMACS Road Networks Collection
- NBER Patent Citations: 数据集链接: NBER Patent Citations
- NIST complex networks data collection: 数据集链接: NIST complex networks data collection
- Network Repository with Interactive Exploratory Analysis Tools: 数据集链接: Network Repository with Interactive Exploratory Analysis Tools
- Protein-protein interaction network: 数据集链接: Protein-protein interaction network
- PyPI and Maven Dependency Network: 数据集链接: PyPI and Maven Dependency Network
- Scopus Citation Database: 数据集链接: Scopus Citation Database
- Small Network Data: 数据集链接: Small Network Data
- Stanford GraphBase: 数据集链接: Stanford GraphBase
- Stanford Large Network Dataset Collection: 数据集链接: Stanford Large Network Dataset Collection
- Stanford Longitudinal Network Data Sources: 数据集链接: Stanford Longitudinal Network Data Sources
- The Koblenz Network Collection: 数据集链接: The Koblenz Network Collection
- The Laboratory for Web Algorithmics (UNIMI): 数据集链接: The Laboratory for Web Algorithmics (UNIMI)
- UCI Network Data Repository: 数据集链接: UCI Network Data Repository
- UFL sparse matrix collection: 数据集链接: UFL sparse matrix collection
- WSU Graph Database: 数据集链接: WSU Graph Database
计算机网络
- 3.5B Web Pages from CommonCrawl 2012: 数据集链接: 3.5B Web Pages from CommonCrawl 2012
- 53.5B Web clicks of 100K users in Indiana Univ.: 数据集链接: 53.5B Web clicks of 100K users in Indiana Univ.
- CAIDA Internet Datasets: 数据集链接: CAIDA Internet Datasets
- CRAWDAD Wireless datasets from Dartmouth Univ.: 数据集链接: CRAWDAD Wireless datasets from Dartmouth Univ.
- ClueWeb09 - 1B web pages: 数据集链接: ClueWeb09 - 1B web pages
- ClueWeb12 - 733M web pages: 数据集链接: ClueWeb12 - 733M web pages
- CommonCrawl Web Data over 7 years: 数据集链接: CommonCrawl Web Data over 7 years
- Criteo click-through data: 数据集链接: Criteo click-through data
- Internet-Wide Scan Data Repository: 数据集链接: Internet-Wide Scan Data Repository
- OONI: Open Observatory of Network Interference - Internet censorship data: 数据集链接: OONI: Open Observatory of Network Interference - Internet censorship data
- Open Mobile Data by MobiPerf: 数据集链接: Open Mobile Data by MobiPerf
- The Peer-to-Peer Trace Archive - Real-world measurements play a key role [...]: 数据集链接: The Peer-to-Peer Trace Archive - Real-world measurements play a key role [...]
- Rapid7 Sonar Internet Scans: 数据集链接: [Rapid7 Sonar Internet Scans](https://sonar.labs.rapid
搜集汇总
数据集介绍

构建方式
该数据集是通过自动化脚本从多个来源收集和整理而成的,涵盖了各个领域的高质量公共数据集。数据集的构建主要依赖于社区贡献和自动化工具的维护,确保数据的时效性和准确性。
使用方法
用户可以通过GitHub页面浏览和搜索数据集,每个数据集都提供了相应的链接和说明。用户可以根据自己的需求下载特定的数据集,或者通过API进行数据的访问和集成。
背景与挑战
背景概述
Awesome Public Datasets是一个旨在收集和整理高质量公共数据集的项目,创建于2013年,由sindresorhus维护。该数据集涵盖了农业、生物学、气候与天气、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、GIS等多个领域,为研究人员和开发者提供了丰富的数据资源。
当前挑战
该数据集面临的挑战主要包括:1)数据的准确性和时效性验证;2)数据集的多样性和覆盖范围的扩展;3)数据集的质量控制和清洗;4)数据隐私和合规性问题;5)数据集的可持续维护和更新。
常用场景
经典使用场景
Awesome Public Datasets作为一个集成了众多领域公共数据集的资源库,其经典使用场景在于为研究人员、数据科学家以及开发者提供了一个便捷的数据集查找和访问平台。用户可以根据自己的研究需求,快速定位到相关领域的高质量数据集,进而节省了数据收集和清洗的时间,使得研究工作能够更加高效地进行。
解决学术问题
该数据集解决了学术研究中数据获取的难题,特别是在数据集难以获取或者获取成本高昂的领域。例如,在生物信息学领域,通过访问Awesome Public Datasets中的基因组数据集,研究人员可以更容易地进行基因表达分析、变异分析等研究,从而推动了相关学科的发展。
实际应用
在实际应用中,Awesome Public Datasets的数据集被广泛用于教育、商业智能、政策制定等多个领域。例如,教育领域的数据集可以帮助教育工作者分析教育成果,商业智能领域的数据集可以用于市场分析和预测,而政策制定领域的数据集则可以辅助政府决策者制定更加有效的政策。
数据集最近研究
最新研究方向
Awesome Public Datasets数据集涵盖了多个领域,其最新研究方向主要集中于数据集的质量控制、数据挖掘以及跨领域数据融合。研究人员正在探索如何利用这些公共数据集进行更深入的机器学习模型训练,以及如何通过数据集间的关联分析来发现新的研究视角。此外,随着大数据技术在各个领域的广泛应用,如何高效地管理和访问这些大规模数据集也成为了研究的热点。
以上内容由遇见数据集搜集并总结生成



