You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Originally an issue in the hackathon repo. Copied here so the other repo can be deleted. Thoughts pasted below were provided by @DesalegnChala and @ICARDAFIGS
What additional data sources can we use for occurrence data? can you please mention them and also if there any function to access them. Additional layers such as protected areas of the world and any function to easily access them.
potential data sources - notes from discussions
Genesys – the accessions in situ – GBIF is more curated – data should be filtered
Weighing the data – Filtering by date
WIEWS
Herbaria – open herbarium – an open data base where major herbaria are digitized and data are made available
Symbiota – https://symbiota.org/
The botanical gardens conservation database - can potentially be ex situ conservation - need caution
Protected planet.
abiotic stresses
Aridity, Soil Ph, Soil salinity from harmonized data sources
Could we add the websites for these sources and see if scripts exists for pulling data from there by genus?
This the code we have used:
install.packages("genesysr")
library(genesysr)
user_login()
musa <- get_accessions(filters = list(taxonomy = list(genus = c('Musa'))), at.least = 1000)
lath <- get_accessions(filters = list(taxonomy = list(genus = c('Lathyrus'))))
one needs of course to register first on https://www.genesys-pgr.org/registration as this info is used by user_login() at R. Data is updated yearly by international CGIAR genebanks. Not sure about the other genebanks.
Activity
ErikKusch commentedon Feb 1, 2024
What additional data sources can we use for occurrence data? can you please mention them and also if there any function to access them. Additional layers such as protected areas of the world and any function to easily access them.
potential data sources - notes from discussions
Genesys – the accessions in situ – GBIF is more curated – data should be filtered
Weighing the data – Filtering by date
WIEWS
Herbaria – open herbarium – an open data base where major herbaria are digitized and data are made available
Symbiota – https://symbiota.org/
The botanical gardens conservation database - can potentially be ex situ conservation - need caution
Protected planet.
abiotic stresses
Aridity, Soil Ph, Soil salinity from harmonized data sources
ErikKusch commentedon Feb 1, 2024
This the code we have used:
install.packages("genesysr")
library(genesysr)
user_login()
musa <- get_accessions(filters = list(taxonomy = list(genus = c('Musa'))), at.least = 1000)
lath <- get_accessions(filters = list(taxonomy = list(genus = c('Lathyrus'))))
one needs of course to register first on https://www.genesys-pgr.org/registration as this info is used by user_login() at R. Data is updated yearly by international CGIAR genebanks. Not sure about the other genebanks.