Christian König @Chr_Koenig 1917 days ago

RT @antonelli_lab: @GBIF is fantastic but >44% of records are potentially problematic - read about the issues and how to tackle them in ht…

Hugo E. Cabral. @Hugodryas 1917 days ago

RT @thePeerJ: No one-size-fits-all solution to clean Global Biodiversity Information Facility. Zizka et al. evaluate the effect of 13 recen…

Dylan Craven @DylanJCraven 1917 days ago

RT @BiodivRsity: Automated filters can clean species occurrence data from https://t.co/2BCVclpdWL, but need to be customized. Check out our…

Gustavo A. Bravo @thamnobravo 1917 days ago

RT @antonelli_lab: @GBIF is fantastic but >44% of records are potentially problematic - read about the issues and how to tackle them in ht…

Juan Pablo @jupanago 1917 days ago

RT @BiodivRsity: Automated filters can clean species occurrence data from https://t.co/2BCVclpdWL, but need to be customized. Check out our…

Matheus Colli-Silva @mcollisilva 1917 days ago

RT @BiodivRsity: Automated filters can clean species occurrence data from https://t.co/2BCVclpdWL, but need to be customized. Check out our…

Alex Zizka @BiodivRsity 1917 days ago

RT @antonelli_lab: @GBIF is fantastic but >44% of records are potentially problematic - read about the issues and how to tackle them in ht…

Antonelli Lab @antonelli_lab 1917 days ago

@GBIF is fantastic but >44% of records are potentially problematic - read about the issues and how to tackle them in https://t.co/fZe8IjBggT by @BiodivRsity @arthurssoares @mrfanti @FilipeSerrano7 et al. @GGBC_GU @KewScience @Naturvetenskap @strategiskaSSF #biodiversity #ecology

Diogo Proietti @DiogoProvete 1917 days ago

RT @BiodivRsity: Automated filters can clean species occurrence data from https://t.co/2BCVclpdWL, but need to be customized. Check out our…

Herbarium - Univ. of Hohenheim @HOH_Herbarium 1917 days ago

RT @BiodivRsity: Automated filters can clean species occurrence data from https://t.co/2BCVclpdWL, but need to be customized. Check out our…

Alex Zizka @BiodivRsity 1917 days ago

RT @thePeerJ: No one-size-fits-all solution to clean Global Biodiversity Information Facility. Zizka et al. evaluate the effect of 13 recen…

Alex Zizka @BiodivRsity 1917 days ago

Automated filters can clean species occurrence data from https://t.co/2BCVclpdWL, but need to be customized. Check out our new study with @antonelli_lab @mcollisilva @arthurssoares @FilipeSerrano7 @ThaisFPAraujo and many more. https://t.co/o87L3sOofc.

PeerJ — Life and Environment Journal @thePeerJ 1917 days ago

No one-size-fits-all solution to clean Global Biodiversity Information Facility. Zizka et al. evaluate the effect of 13 recently proposed filters for automated conservation of datasets from public databases. Read the full @thePeerJ article https://t.co/FJhWMNQ6Kc @GBIF #GBIF https://t.co/CGgB3Wo6sR