Calvin

Week 9

Made location search for IUCN, made all 3 functions for NAS

Week 8

Made count functions for IUCN and iNaturalist

Week 6-7

Made iNaturalist API fully asynchronous, got API key for IUCN and made a function that returns taxon data if there are results in the database. Still waiting on the marine species guy to give me an API key

Week 5

Fixed inaturalist API for one get request, but can only return count (no location). EOL has no observation data, not useful.

Week 4

Started work on EOL database, data is in a bad format but may still be usable, more an online encyclopedia than a database. Changed inaturalist API to return a promise, which can be later used by front end to call functions on success. Modified from a synchronous request.

Week 3

Managed to get the http request headers from jquery after a bunch of fiddling around with asynchronous calls. Am going to implement a loop so that it only loops as many times as is necessary to get the number of observations (which is in one of the http response headers). Also implemented the google maps API to get country. It works, but only for some observations because it goes over the rate limit for the API. Currently trying to see if there's some way around this, but the API works, the country that the lat/lon falls into is one of the attributes in the returned maps objects.

Week 2

Made a new javascript file to query inaturalist api for puma concolor. turned out that the default setting for getting that data was only 20 observations, and you could only get one page at a time (and no more than 100 total). ended up creating a for loop to loop through all pages 1-100, with 200 observations per page, and recording all of that data (hopefully no species has 20000 observations so this should be fine). currently really slow but i'm going to make it more efficient soon. currently only has latitude and longitude in the cleaned data since inaturalist doesnt provide detailed taxonomic information for it's observations (though presumably each one is the same species).

Week 1

http://www.compadre-db.org/Data/Comadre

Data in R, contains digitized data from various sources of literature on species data and it’s distributions around the globe. There is no need for an API, because clicking on the proceed link gives all of the species data as an R data frame(Also has a section for plant life).

http://www.departments.bucknell.edu/biology/resources/msw3/

Gives all mammalian species that are currently recognized, (Latin names), information about each species, and the countries in which that species can be found as well as its prevalence (if it’s endangered, abundant, etc). Provides a CSV of all its data.

http://www.iucnredlist.org/technical-documents/spatial-data

Spatial data on endangered species, stored as an ESRI Shapefile (which “stores the location, shape, and attributes of geographic features”).

http://www.gbif.org/using-data/methods

Aggregates species occurrence datasets into one portal, contains geospatial data.

https://www.inaturalist.org/taxa/1-Animalia and https://www.inaturalist.org/taxa/40151-Mammalia

Records line by line human observations of species. API here: https://www.inaturalist.org/pages/api+reference