Opendata

iDigBio, or Integrated Digitized Biocollections, collects and provides access to species occurrence data, and associated metadata (e.g., images of specimens, when provided). They collect data from a lot of different providers. They have a nice web interface for searching, check out idigbio.org/portal/search. spocc is a package we’ve been working on at rOpenSci for a while now - it is a one stop shop for retrieving species ocurrence data. As new sources of species occurrence data come to our attention, and are available via a RESTful API, we incorporate them into spocc. ...

openadds talks to Openaddresses.io. a run down of its things: Install devtools::install_github("sckott/openadds") library("openadds") List datasets Scrapes links to datasets from the openaddresses site dat <- oa_list() dat[2:6] #> [1] "https://data.openaddresses.io.s3.amazonaws.com/20150511/au-tas-launceston.csv" #> [2] "https://s3.amazonaws.com/data.openaddresses.io/20141127/au-victoria.zip" #> [3] "https://data.openaddresses.io.s3.amazonaws.com/20150511/be-flanders.zip" #> [4] "https://data.openaddresses.io.s3.amazonaws.com/20150417/ca-ab-calgary.zip" #> [5] "https://data.openaddresses.io.s3.amazonaws.com/20150511/ca-ab-grande_prairie.zip" Search for datasets Uses oa_list() internally, then searches through columns requested. oa_search(country = "us", state = "ca") #> Source: local data frame [68 x 5] #> #> country state city ext #> 1 us ca san_mateo_county .zip #> 2 us ca alameda_county .zip #> 3 us ca alameda_county .zip #> 4 us ca amador .zip #> 5 us ca amador .zip #> 6 us ca bakersfield .zip #> 7 us ca bakersfield .zip #> 8 us ca berkeley .zip #> 9 us ca berkeley .zip #> 10 us ca butte_county .zip #> .. ... ... ... ... #> Variables not shown: url (chr) Get data Passing in a URL ...