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Transparency

Data sources

Every figure on this site comes from a public dataset with a licence that allows this use, or from our own counts on it. Here is each one.

SourceWhat we usePeriodLicenceAttribution
Copernicus DEM GLO-30Copernicus DEM GLO-30 (Cloud Optimized GeoTIFF, AWS Open Data)2011-2015 (TanDEM-X)Copernicus WorldDEM-30 licence (free, worldwide, incl. commercial use)Relief, cuts and 3D models produced using Copernicus WorldDEM-30 © DLR e.V. 2010-2014 and © Airbus Defence and Space GmbH 2014-2018 provided under COPERNICUS by the European Union and ESA; all rights reserved. The organisations in charge of the Copernicus programme by law or by delegation do not incur any liability for any use of the Copernicus WorldDEM-30
EOX Sentinel-2 cloudless 2016s2cloudless 2016 (layer s2cloudless_3857)2016CC BY 4.0Satellite images: Sentinel-2 cloudless 2016 by EOX IT Services GmbH (contains modified Copernicus Sentinel data 2016), CC BY 4.0
GeoNamescities1000 (towns with 1,000+ people, with elevation) and countryInfoCreative Commons Attribution 4.0Towns from GeoNames (CC BY 4.0)
NASA POWERClimatology, monthly and daily point data (MERRA-2 / CERES SYN1deg)1991-2020 averages; 2020-2025 month by month; daily rain 1991-2025CC BY 4.0 (NASA open data)Climate: the data was obtained from the NASA Langley Research Center POWER Project funded through the NASA Earth Science Division
OpenFreeMapVector base map (OpenStreetMap data)ODbL 1.0 (OSM data)Base map © OpenStreetMap contributors, OpenFreeMap
OpenStreetMapViewpoints, trails, via ferrata, climbing, footbridges, rafting spots, places, parking, campsites and the river line around each place (Overpass API)Open Database License (ODbL) 1.0Viewpoints, trails, bridges and rivers around each place © OpenStreetMap contributors (ODbL)
OurAirportsairports.csvPublic domainAirports from OurAirports (public domain)
WikidataPlaces and gorges: names in 7 languages, published depth, length and width, elevation, river, protected area, World Heritage, imagesCC0 1.0 (public domain)Place names, published depths, lengths and rivers from Wikidata (CC0)
Wikimedia CommonsPhotographs of each place (Wikidata P18, Commons category, English Wikipedia article, geosearch)Per file: public domain, CC0, CC BY or CC BY-SA onlyPhotos from Wikimedia Commons; author and licence under each photo
flag-iconsCountry flags in SVG (4:3)MITCountry flags from flag-icons (MIT licence)

The places

From Wikidata (CC0): bird observatories, bird sanctuaries, Ramsar wetlands (designation P1435 and the Ramsar ID P2525), Important Bird Areas and the EU's Special Protection Areas.

The birds

GBIF.org occurrence data, only the records published under CC0 or CC BY 4.0: above all the eBird Observation Dataset (Cornell Lab of Ornithology, CC BY 4.0), with iNaturalist research-grade records, atlases and ringing schemes. For each place we ask GBIF how many records of each species there are in a box around it, in total and month by month; every page links to the same query on gbif.org.

The species

The GBIF Backbone Taxonomy (CC BY 4.0) for orders and families; Wikidata (CC0) for the common names in 7 languages and the IUCN Red List category (a fact; the IUCN's texts and maps are not used); photographs from Wikimedia Commons, free licences only, each with its author.

Residents and migrants

Our own rule: the share of each month's bird records that belong to the species. Most records in May–August and almost none in November–February is a summer visitor (the reverse in the southern hemisphere), and so on. It is a summary, not a field guide's verdict.

Temperature and rain

NASA POWER: temperature and rain (MERRA-2, 1991–2020), monthly averages for a cell of about 55 km.

What is around

OpenStreetMap (© OpenStreetMap contributors, ODbL): bird hides, observation towers, trails, visitor centres, car parks, places to stay — only inside the pages, never in downloadable files.

Images

Photographs from Wikimedia Commons, each with its author and licence. Seen from above: Sentinel-2 cloudless 2016 by EOX (CC BY 4.0).

The family

Do you prefer beaches, lakes, mountains, waterfalls, islands, rivers, canyons, caves, dark skies, viewpoints, birdwatching or forests?

Same idea, other landscapes: field atlases built on open data, in seven languages.