Data to add

[willpearse]

• NeotomaDB (https://www.neotomadb.org/snapshots)
• BioTime (https://synergy.st-andrews.ac.uk/biotime/biotime-database/) - pub coming out soon
• PREDICTS (http://data.nhm.ac.uk/dataset/902f084d-ce3f-429f-a6a5-23162c73fdf7)
• EDI 'community dynamics' list (https://portal.edirepository.org/nis/browseServlet?searchValue=community+dynamics)
• Ollie Wearn has some great datasets up on Zenodo (ask Will about these if confused):
  • https://zenodo.org/record/44545#.WoYT4XXwaEI
  • https://zenodo.org/record/877217#.WoYT5HXwaEI
  • https://zenodo.org/record/46073#.WoYT6HXwaEI
  • https://zenodo.org/record/804948#.WoYT7nXwaEI
• http://www.forestplots.net/en/products
• http://clamp.ibcas.ac.cn/CLAMP_Fossils.html (paleo data, but a lot of it in a nice format)
• NEON
  • plants
  • mammals
  • beetles
  • birds (I can't seem to find where they are on the API, which is weird?!)
• Logan Fractals :D
• North American Butterfly Assoc. 2009. NABA butterfly counts: 2009 report. NABA, Morristown, New Jersey, USA. Available: http://www.naba.org/counts/faq.html
• Ashley Rhode's data she's email to WDP
• Pathogen data from Scott Carver (https://esajournals.onlinelibrary.wiley.com/doi/abs/10.1890/15-0445) - not sure this is the best db for this but it should go somewhere
• http://www.mobot.org/mobot/research/gentry/welcome.shtml
• https://onlinelibrary.wiley.com/doi/abs/10.1111/ecog.03871 - code ready to go, just needs the new link
• Wrapper to grab National Park Service data from https://science.nature.nps.gov/im/inventory/veg/products.cfm. Function in nacdb is .nps.1998 that would form a base for the wrapper maybe? (HT to @HaKmonkey and National Park Service - Make a Wrapper #25 )
• The native bee fauna of the Palouse Prairie (Hymenoptera: Apoidea). Journal of Melittology. Rhoades et al. (2017). Required PDF scraping (and so maybe a Future ideas (whether for MADcomm or other MADworld packages) #41 future ideas?)

[raimefronstin]

Great I have put this and the NEON data web address into the Google Drive file. I haven't looked at these databases in depth yet but I suspect that we will need to use different information to retrieve this data since they are not from a single source paper?

[willpearse]

I wouldn't worry/think too much about NEON quite yet. That will be something of a mission in-of itself, and I first want to check that no one else is working on this. We can't be the only people who have thought that doing a NEON R package would be a useful thing to have floating around!

…

On Tue, 23 May 2017 at 18:07 Raime B Fronstin ***@***.***> wrote: Great I have put this and the NEON data web address into the Google Drive file. I haven't looked at these databases in depth yet but I suspect that we will need to use different information to retrieve this data since they are not from a single source paper? — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#2 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/ABLcUte1OCzUPZTubX-PHAAT4Qxw66zSks5r81iegaJpZM4NjuX5> .

[bweedop]

PREDICTS can be done but it has multiple different sampling units (abundance, richness, etc) included at multiple different scales (individuals, individuals/m2, etc.). Not sure what we want to do if multiple different measurements are present. Presence and absence?

[bweedop]

• LTER Tabular data : http://sev.lternet.edu/data

  • http://sev.lternet.edu/data/sev-106

  • http://sev.lternet.edu/data/sev-8

  • http://sev.lternet.edu/data/sev-135