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datasets.qmd
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---
title: "Open Data Sources"
description: |-
A collection of Philippine & International data sources that can be freely used for projects.
---
## Philippine Data Sources
Explore various Philippine data sources for diverse data projects:
### Government and Public Data
- [Philippine Standard Geographic Code (PSGC)](https://psa.gov.ph/classification/psgc): A comprehensive list of administrative divisions in the Philippines.
- [COVID Data via DOH Data Drop](https://drive.google.com/drive/folders/1ZPPcVU4M7T-dtRyUceb0pMAd8ickYf8o): Official Department of Health COVID-19 data repository.
- [Philippine Statistics Authority (PSA)](https://openstat.psa.gov.ph/Database): Various statistical datasets available for public use.
- [PSA Annual Poverty Indicators Survey (API)](https://psa.gov.ph/content/annual-poverty-indicators-survey-apis): Data on annual poverty indicators in the Philippines.
- [PSA Family Income and Expenditure Survey (FIES)](https://psa.gov.ph/statistics/income-expenditure/fies): Information on family incomes and expenditures.
- [Cities and Municipalities Competitiveness Index (CMCI)](https://cmci.dti.gov.ph/): Data assessing the competitiveness of cities and municipalities.
- [BSP Banks Directory](https://www.bsp.gov.ph/SitePages/FinancialStability/DirBanksFIList.aspx): Directory of banks and financial institutions in the Philippines.
- [BSP Financial Service Access Points](https://www.bsp.gov.ph/SitePages/InclusiveFinance/FinancialServiceAP.aspx): A listing of financial service access points in the Philippines.
- [Unified Accounts Code Structure (UACS)](https://www.uacs.gov.ph/): Standard for government accounting in the Philippines.
- [Open Data Philippines (beta)](https://data.gov.ph/index/home): Portal for various government datasets.
- [World Bank Philippines Data](https://data.worldbank.org/country/PH): Country-specific economic data and indicators.
- [Awesome Data Philippines by BNHR](https://github.com/benhur07b/awesome-data-philippines): A curated collection of Philippine data resources.
### Environmental and Geospatial Data
- [HydroSheds Data](https://www.hydrosheds.org/): Hydrological data and high-resolution mapping.
- [Earthquake Data](https://earthquake.usgs.gov/data/): Seismic activity data from around the world.
- [Hazard Data](https://wesr.unepgrid.ch/?project=MX-XVK-HPH-OGN-HVE-GGN&language=en): Data from the World Environment Situation Room.
- [Natural Resources Data](https://resourcewatch.org/): Datasets related to the Earth's natural resources.
- [Typhoon Data](https://typhoon2000.ph/): Tracking and information on typhoons affecting the Philippines.
- [Climate Data](https://www.ncdc.noaa.gov/ibtracs/): Climate datasets provided by NOAA.
- [Land Cover by ESRI](https://livingatlas.arcgis.com/landcoverexplorer/): Worldwide data on land cover.
- [Marine Boundaries](https://www.marineregions.org/): Detailed information on global marine regions.
- [Coral Reefs](https://allencoralatlas.org/atlas/#4.12/8.7755/124.8789): Data and mapping of coral reefs.
- [Philippines - Subnational Administrative Boundaries](https://data.humdata.org/dataset/cod-ab-phl): Data on the administrative boundaries within the Philippines.
### Economic and Social Data
- [Economic and Social Database](https://econdb.pids.gov.ph/tablecategories/index/3): Data provided by the Philippine Institute for Development Studies.
### General Data Sources
- [Google Datasets](https://cloud.google.com/datasets): Explore datasets offered by Google Cloud.
- [Google Research Datasets](https://datasetsearch.research.google.com/): Find datasets for research projects.
- [BigQuery Public Datasets](https://cloud.google.com/bigquery/public-data): Access a variety of public datasets through Google BigQuery.
### Specific Data Areas
- [World Health Organization (WHO) Collections](https://www.who.int/data/collections): Global health data.
- [Healthcare Images](https://cloud.google.com/healthcare-api/docs/resources/public-datasets/idc): Public datasets of healthcare images.
- [Genome Datasets](https://www.internationalgenome.org/data): Data from the International Genome project.
- [NOAA Data Products](https://www.ncei.noaa.gov/products): Datasets from the National Oceanic and Atmospheric Administration.
- [Climate Data](https://www.climate.gov/maps-data/all): Comprehensive climate datasets.
### Additional Resources
- [Unicef Data Collections](https://data.unicef.org/resources/dataset/sowc-2019-statistical-tables/): Data on global child welfare.
- [US Population Data](https://www.bls.gov/cps/tables.htm): Population statistics from the US Bureau of Labor Statistics.
- [Stanford Open Policing Project](https://openpolicing.stanford.edu/): Data on police traffic stops.
- [Scikit-Learn Datasets](https://scikit-learn.org/stable/datasets/toy_dataset.html): Datasets available in the Scikit-Learn library.
- [PyTorch Datasets](https://pytorch.org/vision/stable/datasets.html): Datasets available in PyTorch.
- [Huggingface Datasets](https://huggingface.co/datasets): A hub for various ML datasets.
- [Wikipedia ML Research Datasets](https://en.wikipedia.org/wiki/List_of_datasets_for_machine_learning_research): A list of datasets for machine learning research.
### Specific Data Areas
- [World Health Organization (WHO) Collections](https://www.who.int/data/collections): Access global health data.
- [Healthcare Images](https://cloud.google.com/healthcare-api/docs/resources/public-datasets/idc): Explore public datasets of healthcare images.
- [Genome Datasets](https://www.internationalgenome.org/data): Utilize data from the International Genome project.
- [NOAA Data Products](https://www.ncei.noaa.gov/products): Find datasets from the National Oceanic and Atmospheric Administration.
- [Climate Data](https://www.climate.gov/maps-data/all): Research comprehensive climate datasets.
### Additional Resources
- [Unicef Data Collections](https://data.unicef.org/resources/dataset/sowc-2019-statistical-tables/): Data on global child welfare.
- [US Population Data](https://www.bls.gov/cps/tables.htm): Statistics from the US Bureau of Labor Statistics.
- [Stanford Open Policing Project](https://openpolicing.stanford.edu/): Information on police traffic stops.
- [Scikit-Learn Datasets](https://scikit-learn.org/stable/datasets/toy_dataset.html): Datasets within the Scikit-Learn library.
- [PyTorch Datasets](https://pytorch.org/vision/stable/datasets.html): Datasets available through PyTorch.
- [Huggingface Datasets](https://huggingface.co/datasets): A platform offering various ML datasets.
- [Wikipedia ML Research Datasets](https://en.wikipedia.org/wiki/List_of_datasets_for_machine_learning_research): A comprehensive list of datasets for machine learning research.
- [OECD](https://data.oecd.org/)
- [Datahub](https://awesomedataengineering.com/): A free and open CKAN instance for hosting and sharing datasets.
- [Kaggle](https://www.kaggle.com/): A platform for data science competitions, and hosting, publishing, and analyzing data.
- [data.world](https://data.world/): Described as a "social network for data people," allows users to host and share data.
- [Academic Torrents](http://academictorrents.com/): A BitTorrent-based platform for the academic community to download and share large datasets for free.