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datasets.qmd
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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
## Government, Public Administration, and Census Data
- [Philippine Standard Geographic Code (PSGC)](https://psa.gov.ph/classification/psgc) - 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 repository for COVID-19 data.
- [Philippine Statistics Authority (PSA)](https://openstat.psa.gov.ph/Database) - Various statistical datasets provided by the Philippine Statistics Authority.
- [PSA Annual Poverty Indicators Survey (API)](https://psa.gov.ph/content/annual-poverty-indicators-survey-apis) - Annual data on 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 in the Philippines.
- [Cities and Municipalities Competitiveness Index (CMCI)](https://cmci.dti.gov.ph/) - Data assessing the competitiveness of Philippine cities and municipalities.
- [BSP Banks Directory](https://www.bsp.gov.ph/SitePages/FinancialStability/DirBanksFIList.aspx) - Directory of banks and financial institutions operating in the Philippines.
- [BSP Financial Service Access Points](https://www.bsp.gov.ph/SitePages/InclusiveFinance/FinancialServiceAP.aspx) - Listing of financial service access points across 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) - Official portal for various government datasets in the Philippines.
- [World Bank Philippines Data](https://data.worldbank.org/country/PH) - Economic data and indicators for the Philippines from the World Bank.
- [Awesome Data Philippines by BNHR](https://github.com/benhur07b/awesome-data-philippines) - Curated collection of Philippine data resources.
- [Philippines - Subnational Administrative Boundaries](https://data.humdata.org/dataset/cod-ab-phl) - Data on administrative boundaries within the Philippines.
## Environmental, Geographic, and Natural Resources Data
- [HydroSheds Data](https://www.hydrosheds.org/) - Hydrological data and high-resolution mapping.
- [Earthquake Data](https://earthquake.usgs.gov/data/) - Seismic activity data from the United States Geological Survey.
- [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 from the National Oceanic and Atmospheric Administration (NOAA).
- [Land Cover by ESRI](https://livingatlas.arcgis.com/landcoverexplorer/) - Worldwide data on land cover from Esri.
- [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.
## Economic and Social Data
- [Economic and Social Database](https://econdb.pids.gov.ph/tablecategories/index/3) - Economic and social data provided by the Philippine Institute for Development Studies.
## General and Multi-Purpose Data Sources
- [Google Datasets](https://cloud.google.com/datasets) - Explore datasets offered by Google Cloud.
- [Google Research Datasets](https://datasetsearch.research.google.com/) - Search engine for research datasets.
- [BigQuery Public Datasets](https://cloud.google.com/bigquery/public-data) - Access to various public datasets through Google BigQuery.
- [Public API Lists for Data Engineering](https://github.com/public-api-lists/public-api-lists) - List of public APIs useful for data engineering projects.
- [GADM Data](https://gadm.org/data.html) - Detailed maps and data of administrative areas of countries, useful for GIS and mapping projects.
## Health and Life Sciences Data
- [World Health Organization (WHO) Collections](https://www.who.int/data/collections) - Global health data from the World Health Organization.
- [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.
## Climate and Earth Sciences Data
- [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.
## Miscellaneous and Other Data Resources
- [Unicef Data Collections](https://data.unicef.org/resources/dataset/sowc-2019-statistical-tables/) - Data on global child welfare from UNICEF.
- [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 in the United States.
- [Scikit-Learn Datasets](https://scikit-learn.org/stable/datasets/toy_dataset.html) - Datasets available in the Scikit-Learn library for machine learning.
- [PyTorch Datasets](https://pytorch.org/vision/stable/datasets.html) - Datasets available in the PyTorch library for machine learning.
- [Huggingface Datasets](https://huggingface.co/datasets) - Hub for various machine learning datasets.
- [Wikipedia ML Research Datasets](https://en.wikipedia.org/wiki/List_of_datasets_for_machine_learning_research) - List of datasets for machine learning research.
- [OECD](https://data.oecd.org/) - Data from the Organisation for Economic Co-operation and Development.
- [Datahub](https://awesomedataengineering.com/) - Free and open instance for hosting and sharing datasets.
- [Kaggle](https://www.kaggle.com/) - Platform for data science competitions, hosting, publishing, and analyzing data.
- [data.world](https://data.world/) - Social network for hosting and sharing data.
- [Academic Torrents](http://academictorrents.com/) - BitTorrent-based platform for sharing large datasets in the academic community.