Hey everyone,
I hope you’re doing well. I recently stumbled upon the GBIF dataset, a vast collection of animal data within the kingdom Animalia. To be honest, it’s a bit daunting for me because I’m completely new to this field. I’ve been working with a significant dataset in JSON format, but delving into GBIF feels like stepping into the unknown.
In my JSON dataset, I have entries like this one:
"animal_id": 613, "animal_name": "Cockatiel", "slug": "cockatiel", "data": { "scientific_classification": { "Kingdom": "Animalia", "Phylum": "Chordata", "Class": "Aves", "Order": "Psittaciformes", "Family": "Cacatuidae", "Genus": "Nymphicus", "Scientific Name": "Nymphicus hollandicus" }, "locations": [ "Oceania" ], "facts": { "Prey": "Terrestrial insects", "Fun Fact": "They have crests that rise or fall depending on their emotions", "Estimated Population Size": "Undetermined, but conservation status is least concern", "Biggest Threat": "Birds of prey", "Most Distinctive Feature": "Its cheek patches", "Other Name(s)": "Weiro bird, quarrion", "Wingspan": "11.8 to 13.7 inches", "Incubation Period": "17 to 23 days", "Litter Size": "Five", "Habitat": "Scrub, bush, wetlands", "Predators": "Raptors", "Diet": "Herbivore", "Type": "Bird", "Common Name": "Cockatiel", "Number Of Species": "1", "Location": "Australia", "Average Clutch Size": "5", "Nesting Location": "Tree cavities", "Age of Molting": "Three to five weeks" }, "physical_characteristics": { "Color": "Grey, Yellow, White, Orange", "Skin Type": "Feathers", "Top Speed": "43 mph", "Lifespan": "As long as 35 years, average between 15 and 25 or longer in captivity", "Weight": "3.17 ounces", "Length": "9.84 to 13.8 inches" },
My goal is to download the complete GBIF dataset for animals only once so that I can sort it out without having to call APIs every time I need species information. I’m looking for some guidance on how to go about this. Is there a straightforward way to download the entire dataset?
I’d appreciate any help or advice you can offer. Thanks a bunch for your time and support!
Best regards,
TQ3