Renan Lucas Fagundes

Research assistant & PhD candidate

Open Data Links


Let's go to work?


October 26, 2024

Here are some links to access open data of any nature that can be used to investigate emerging phenomena in an urban context. 
  1. https://basedosdados.org/dataset (datasets from many Brazilian institution: SUS, IBGE,INEP, ONS, etc)
  2. https://snap.stanford.edu (network data: citation network, social networks, etc)
  3. https://data-explorer.oecd.org/ (datasets from various purposes: agriculture, energy, education, innovation, etc)
  4. https://networkrepository.com (Largest network repository with thousands of donations in 30+ domains (from biological to social network data)
  5. https://geodata.lib.utexas.edu (geospatial data from UT Texas: fire risk, boundary, river, area, urban density)
  6. www.microns-explorer.org (Data that span all 6 layers of mouse primary visual cortex and 3 higher visual areas (LM, AL, RL) within a cubic millimeter volume)
  7. https://plataforma.seeg.eco.br (datasets of agropecuary, energy, land use, and greenhouse gasses from Brazil)
  8. https://ourworldindata.org (12,870 charts across 115 topics All free: open access and open source)
  9. https://www.globio.info/resources (Global datasets roads, barriers in rivers, hunting impact)
  10. https://servicodados.ibge.gov.br (Official Brazilian portal of datasets/IBGE)
  11. https://data.jrc.ec.europa.eu
  12. https://data.humdata.org
  13. https://cadmapper.com
  14. www.atlasofurbanexpasion.org
  15. https://dataverse.harvard.edu
  16. https://geodata.lib.berkeley.edu
  17. www.ipea.gov.br
  18. https://eogdata.mines.edu/products/dmsp/#v4_dmsp_download (City lightning time series 1993-2013)
  19. https://terrabrasilis.dpi.inpe.br
  20. https://elservier.digitalcommondata.org
  21. https://www.hydrosheds.org/
  22. https://data.cityofnewyork.us
  23. https://gdacs.org
  24. https://data.humdata.org/dataset/brazil-high-resolution-population-density-maps-demographic-estimates# (High resolution population data in Brazil)
  25. https://dataforgood.facebook.com/dfg/tools
  26. https://daylightmap.org/2023/11/27/urban.html (World urban area)
  27. https://data.amerigeoss.org/pt_BR/
  28. www.geonames.org
  29. https://statistics.btselem.org
  30. www.reach-initiative.org
  31. https://beta.source.coop
  32. https://sosgisbr.com
  33. www.data.rio
  34. https://acleddata.com
  35. https://data.mendeley.com
  36. www.statista.com
  37. https://www.cidadessustentaveis.org.br/dados-abertos
  38. https://github.com/yjlo/metal_music_project (Metal music project)
  39. www.kaggle.com
  40. https://ispgeo.rj.gov.br
  41. https://ieee-dataport.org
  42. https://opendengue.org
  43. https://data.world
  44. https://nomisma.org
  45. https://hub.worldpop.org (High-resolution geospatial data on population, demography and dynamics for low and middle income countries)
  46. https://esa-worldcover.org/en
  47. https://mappinggis.com/2024/05/mapa-global-de-la-altura-de-los-arboles-con-resolucion-de-1-metro/?utm_source=ReviveOldPost&utm_medium=social&utm_campaign=ReviveOldPost
  48. https://datatopics.worldbank.org/health/home
  49. https://storymaps.arcgis.com/stories/a81d69f4bccf42989609e3fe64d8ef48
  50. https://www.earthdata.nasa.gov/learn/use-data
  51. https://dataforgood.facebook.com/dfg/tools/facebook-population-maps
  52. https://dataforgood.facebook.com/dfg/tools/movement-maps#accessdata
  53. https://sdgstoday.org/dataset/drought-precipitation
  54. https://developers.google.com/earth-engine/datasets/catalog/ECMWF_CAMS_NRT
  55. https://edgar.jrc.ec.europa.eu/emissions_data_and_maps
  56. https://developers.google.com/earth-engine/datasets/catalog/sentinel-5p
  57. https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_DAILY
  58. https://developers.google.com/earth-engine/datasets/catalog/GLOBAL_FLOOD_DB_MODIS_EVENTS_V1
  59. https://data.isimip.org/datasets/24cb1007-3c96-4b59-a0dc-42d94a8cff8c/
  60. https://developers.google.com/earth-engine/datasets/catalog/GOOGLE_DYNAMICWORLD_V1
  61. https://livingatlas.arcgis.com/en/home/
  62. https://mappinggis.com/2024/06/como-descargar-imagenes-landsat/
  63. https://www.ibge.gov.br/estatisticas/sociais/populacao/38734-cadastro-nacional-de-enderecos-para-fins-estatisticos.html?edicao=38891&t=resultados (household  geo coordinates from Brazilian cities) 
  64. https://human-settlement.emergency.copernicus.eu/ghs_buH2023.php (spatial distribution of building heights)
  65. https://human-settlement.emergency.copernicus.eu/datasets.php#inline-nav-ghs_buH2023 (buildings, urban, land use etc)
  66. https://opendata.dc.gov/search?collection=Dataset&layout=grid (Open data DC)
  67. https://zenodo.org/records/8239305 (first global fine land cover dynamic product at a 30-meter resolution that adopts continuous change detection)
  68. https://data.inpe.br/big/web/ (geospatial date of deforestation and land use from INPE)
  69. https://springernature.figshare.com/articles/dataset/The_Subnational_Corruption_Database_SCD_/25893019?backTo=/collections/The_Subnational_Corruption_Database_Grand_and_petty_corruption_in_1_473_regions_of_178_countries_1995-2022/7061534 (The Subnational Corruption Database)
  70. https://registry.opendata.aws/speedtest-global-performance/ (Global fixed broadband and mobile (cellular) network performance)
  71. https://dataforgood.facebook.com/dfg/tools (Meta data for good)
  72. https://r-packages.io/datasets (diverse datasets available and R language programming is required)
  73. https://www.cs.cornell.edu/~arb/data/ (a collection of datasets for network analysis)
  74. http://www.casos.cs.cmu.edu/tools/datasets/external/index.php (network data Computational Analysis of Social and Organizational Systems)
  75. https://datadryad.org/stash/dataset/doi:10.5061/dryad.8cz8w9gsv (Data recorded for leaf size, and leaf vein and areole measurements taken from nine Magnoliaceae species)
  76. https://www.try-db.org/de/Datasets.php (Plant Trait Database)
  77. https://tech.marksblogg.com/asian-building-footprints-from-google-maps.html (Asia buildings footprint)
  78. https://data.cdrc.ac.uk/dataset/point-interest-data-united-kingdom (point of interest in UK)
  79. https://github.com/cjber/overture-uk (idem 78)
  80. https://overturemaps.org/download/ (overture mas data, buildings, points of interests, etc)
  81. https://essd.copernicus.org/preprints/essd-2024-217/  (buildings footprint 3d)
  82. https://sedac.ciesin.columbia.edu/data/set/urbanspatial-guppd-v1 (global data set 1973-2030.
  83. https://revolutionarygis.wordpress.com/2024/08/01/3d-globfp/ (buildings height from some countries)