多个数据集
收藏github2019-06-10 更新2024-05-31 收录
下载链接:
https://github.com/MVPTylerE/awesome-public-datasets
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资源简介:
这是一个主题中心的高质量开放数据集列表,收集并整理了来自博客、答案和用户响应的数据源。
This is a high-quality open dataset list centered around specific themes, which collects and organizes data sources from blogs, answers, and user responses.
创建时间:
2019-06-10
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) - GO annotation files: 数据集链接: Gene Ontology (GO) - GO annotation files
- 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 - KEGG is a database resource for understanding high-level functions [...]: 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)
- Dutch Weather - The KNMI Data Center (KDC) portal provides access to KNMI [...]: 数据集链接: Dutch Weather - The KNMI Data Center (KDC) portal provides access to KNMI [...]
- 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
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来的,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、金融和GIS等多个领域的数据集。
特点
数据集特点包括多样性、高质量、实时更新以及覆盖领域广泛。它不仅包含了大量免费的公共数据集,还包含了一些非免费的数据集,用户可以根据需要进行选择和使用。
使用方法
使用该数据集时,用户可以通过GitHub页面上的链接访问各个数据集的详情页,了解数据集的具体信息,并根据提供的说明和许可进行数据下载和使用。
背景与挑战
背景概述
多个数据集是一个汇总了众多领域公共数据集的资源库,由awesomedata团队创建于GitHub平台。该数据集涵盖了从农业、生物学到气候、计算机科学等众多学科领域,包含了如1000 Genomes、Hyperspectral benchmark dataset on soil moisture等高质量的数据集。这些数据集的收集与整理,旨在为研究者和开发者提供便捷的数据获取途径,推动各领域的数据共享与科学研究。
当前挑战
该数据集面临的挑战主要在于其多样性和复杂性。首先是数据集的多样性,涉及多个学科领域,每个领域的数据都有其特定的格式和特点,给数据集成和处理带来了困难。其次是数据集的复杂性,例如,在构建过程中需要处理的数据量庞大,数据清洗和整合的工作量巨大。此外,数据集的时效性和准确性也是持续的挑战,需要不断更新和维护。
常用场景
经典使用场景
该数据集涵盖了多个领域的大量公共数据集,其经典使用场景主要集中于为研究人员提供丰富的数据资源,以便于进行数据分析和挖掘。例如,在生物学领域,可用于基因表达分析、蛋白质结构研究等;在气候与天气领域,可用于气候模型构建、天气预测等;在复杂网络领域,可用于社会网络分析、知识图谱构建等。
衍生相关工作
该数据集衍生了众多相关工作,如基于数据集的学术研究论文、商业分析报告和开源项目。这些相关工作进一步推动了数据集的应用和领域研究的发展。
数据集最近研究
最新研究方向
该数据集涵盖了多个领域的大量公共数据集,最新研究方向主要集中于如何高效地整合、分析和利用这些数据资源。研究人员正探索利用先进的数据挖掘和机器学习技术,从不同领域的数据中提取有价值的信息,以推动诸如生物信息学、气候研究、社交网络分析、能源消耗模式分析等前沿研究。
以上内容由遇见数据集搜集并总结生成



