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OCCUR Shiny application: A user‐friendly guide for curating species occurrence records

https://doi.org/10.1111/2041-210x.14271

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/ece3.10786openalex-snapshot

Exploring the impact of data curation criteria on the observed geographical distribution of mosses

inferredcites →https://doi.org/10.1002/ece3.3259openalex-snapshot

Temporal degradation of data limits biodiversity research

inferredcites →https://doi.org/10.1016/j.ecoinf.2021.101543openalex-snapshot

A workflow to integrate ecological monitoring data from different sources

inferredcites →https://doi.org/10.1016/j.gecco.2019.e00852openalex-snapshot

BDcleaner: A workflow for cleaning taxonomic and geographic errors in occurrence data archived in biodiversity databases

inferredcites →https://doi.org/10.1038/s41559-019-0972-5openalex-snapshot

A checklist for maximizing reproducibility of ecological niche models

inferredcites →https://doi.org/10.1093/database/bau125openalex-snapshot

Fishing for data and sorting the catch: assessing the data quality, completeness and fitness for use of data in marine biogeographic databases

inferredcites →https://doi.org/10.1111/2041-210x.13152openalex-snapshot

CoordinateCleaner : Standardized cleaning of occurrence records from biological collection databases

inferredcites →https://doi.org/10.1111/2041-210x.13629openalex-snapshot

bRacatus : A method to estimate the accuracy and biogeographical status of georeferenced biological data

inferredcites →https://doi.org/10.1111/2041-210x.13802openalex-snapshot

Harmonizing taxon names in biodiversity data: A review of tools, databases and best practices

inferredcites →https://doi.org/10.1111/2041-210x.13868openalex-snapshot

bdc : A toolkit for standardizing, integrating and cleaning biodiversity data

inferredcites →https://doi.org/10.1111/ecog.02118openalex-snapshot

Biogeo: an R package for assessing and improving data quality of occurrence record datasets

inferredcites →https://doi.org/10.1111/ecog.05396openalex-snapshot

A complete inventory of North American butterfly occurrence data: narrowing data gaps, but increasing bias

inferredcites →https://doi.org/10.1111/ele.12624openalex-snapshot

Multidimensional biases, gaps and uncertainties in global plant occurrence information

inferredcites →https://doi.org/10.1111/faf.12507openalex-snapshot

Quantifying shortfalls in the knowledge on Neotropical Auchenipteridae fishes

inferredcites →https://doi.org/10.1111/geb.12468openalex-snapshot

Mapping ignorance: 300 years of collecting flowering plants in Africa

inferredcites →https://doi.org/10.1111/geb.13497openalex-snapshot

A review of the heterogeneous landscape of biodiversity databases: Opportunities and challenges for a synthesized biodiversity knowledge base

inferredcites →https://doi.org/10.1111/j.1365-2699.2009.02240.xopenalex-snapshot

Modelling the responses of Andean and Amazonian plant species to climate change: the effects of georeferencing errors and the importance of data filtering

inferredcites →https://doi.org/10.1111/jbi.14543openalex-snapshot

Artificial Hotspot Occurrence Inventory ( AHOI )

inferredcites →https://doi.org/10.1146/annurev-ecolsys-112414-054400openalex-snapshot

Seven Shortfalls that Beset Large-Scale Knowledge of Biodiversity

inferredcites →https://doi.org/10.1186/s40663-017-0120-0openalex-snapshot

Big data of tree species distributions: how big and how good?

inferredcites →https://doi.org/10.1371/journal.pone.0001124openalex-snapshot

How Global Is the Global Biodiversity Information Facility?

inferredcites →https://doi.org/10.1371/journal.pone.0029715openalex-snapshot

Darwin Core: An Evolving Community-Developed Biodiversity Data Standard

inferredcites →https://doi.org/10.1371/journal.pone.0196417openalex-snapshot

Contrasting spatial, temporal and environmental patterns in observation and specimen based species occurrence data

inferredcites →https://doi.org/10.1525/bio.2009.59.7.12openalex-snapshot

Data-intensive Science: A New Paradigm for Biodiversity Studies

inferredcites →https://doi.org/10.21425/f5fbg12942openalex-snapshot

Mapping species distributions: living with uncertainty

inferredcites →https://doi.org/10.5281/zenodo.10225479openalex-snapshot

OCCUR Shiny app Supplementary Information

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.21425/fob.18.136933zenodo-depositor-declared

Ice age, current climate, habitat availability, and the diversity of European dragonflies and damselflies

inferred← citeshttps://doi.org/10.1002/ece3.71139openalex-snapshot

Mobilisation of Data From Natural History Collections Can Increase the Quality and Coverage of Biodiversity Information

inferred← citeshttps://doi.org/10.1002/ece3.71913openalex-snapshot

A Web App for the Animal Culture Database and a Template for Deploying Comparative Trait Databases With Shiny

inferred← citeshttps://doi.org/10.1002/ecog.08589openalex-snapshot

Scrutinizing the Wallacean shortfall: global gaps in snake occurrence data across space and environment

inferred← citeshttps://doi.org/10.1007/s10531-024-02851-8openalex-snapshot

The importance of native shrubs on the distribution and diversity of reptiles and amphibians in the central drylands of Southwestern USA.

inferred← citeshttps://doi.org/10.1016/j.atech.2026.102271openalex-snapshot

Modeling the potential distribution of Musa (AAB), cv. ‘Bellaco’ and Carica papaya under climate change scenarios in the provinces of Jaén and San Ignacio

inferred← citeshttps://doi.org/10.1111/1365-2745.70043openalex-snapshot

Macroclimatic niche similarity and species relatedness shift their influence on species co‐occurrence in bryophyte forest communities across scales

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