Related articles by
Short Communication
Other versions:
- ContentsContents
- Article InfoArticle Info
- CiteCite
- MetricsMetrics
- CommentComment
- RelatedRelated
- TabsTabs
- RefsRefs
- CitedCited
- NanopubsNanopubs
Using modestr to download, import and clean species distribution records. Methods in Ecology and Evolution 5: 708.
DOI: 10.1111/2041-210X.12209
Quality and usability challenges of global marine biodiversity databases: An example for marine mammal data. Ecological Informatics 56: 101051.
DOI: 10.1016/j.ecoinf.2020.101051
Towards a national bio-environmental data facility: experiences from the Atlas of Living Australia. International Journal of Geographical Information Science 30: 108.
DOI: 10.1080/13658816.2015.1077962
Developing Standards for Improved Data Quality and for Selecting Fit for Use Biodiversity Data. Biodiversity Information Science and Standards 4: .
DOI: 10.3897/biss.4.50889
Biodiversity analysis in the digital era. Philosophical Transactions of the Royal Society B: Biological Sciences 371: 20150337.
DOI: 10.1098/rstb.2015.0337
The Atlas of Living Australia: History, current state and future directions. Biodiversity Data Journal 9: .
DOI: 10.3897/BDJ.9.e65023
Big data for forecasting the impacts of global change on plant communities. Global Ecology and Biogeography 26: 6.
DOI: 10.1111/geb.12501
From Reductionism to Reintegration: Solving society’s most pressing problems requires building bridges between data types across the life sciences. PLOS Biology 19: e3001129.
DOI: 10.1371/journal.pbio.3001129
Robust minimum divergence estimation in a spatial Poisson point process. Ecological Informatics 81: 102569.
DOI: 10.1016/j.ecoinf.2024.102569
Statistical learning for species distribution models in ecological studies. Japanese Journal of Statistics and Data Science 6: 803.
DOI: 10.1007/s42081-023-00206-1
Quantifying the value of user-level data cleaning for big data: A case study using mammal distribution models. Ecological Informatics 34: 139.
DOI: 10.1016/j.ecoinf.2016.06.001
High diversity of native plants and vegetation types in the Morialta Conservation Park and the threat of invasive species. Transactions of the Royal Society of South Australia 144: 180.
DOI: 10.1080/03721426.2020.1786779
Building essential biodiversity variables (EBVs) of species distribution and abundance at a global scale. Biological Reviews 93: 600.
DOI: 10.1111/brv.12359
The scope and scale of the life sciences (‘Nature’s envelope’). Research Ideas and Outcomes 8: .
DOI: 10.3897/rio.8.e96132
An audit of some processing effects in aggregated occurrence records. ZooKeys 751: 129.
DOI: 10.3897/zookeys.751.24791
Contrasting spatial, temporal and environmental patterns in observation and specimen based species occurrence data. PLOS ONE 13: e0196417.
DOI: 10.1371/journal.pone.0196417
Corrected data re-harvested: curating literature in the era of networked biodiversity informatics. Biodiversity Data Journal 3: e4552.
DOI: 10.3897/BDJ.3.e4552
The GBIF Integrated Publishing Toolkit: Facilitating the Efficient Publishing of Biodiversity Data on the Internet. PLoS ONE 9: e102623.
DOI: 10.1371/journal.pone.0102623
Comprehensiveness of conservation of useful wild plants: An operational indicator for biodiversity and sustainable development targets. Ecological Indicators 98: 420.
DOI: 10.1016/j.ecolind.2018.11.016
BioModelos: A collaborative online system to map species distributions. PLOS ONE 14: e0214522.
DOI: 10.1371/journal.pone.0214522
ClimCKmap, a spatially, temporally and climatically explicit distribution database for the Italian fauna. Scientific Data 6: .
DOI: 10.1038/s41597-019-0203-6
The geospatial data quality REST API for primary biodiversity data. Bioinformatics 32: 1755.
DOI: 10.1093/bioinformatics/btw057
To increase trust, change the social design behind aggregated biodiversity data. Database 2018: .
DOI: 10.1093/database/bax100
Point process models for presence‐only analysis. Methods in Ecology and Evolution 6: 366.
DOI: 10.1111/2041-210X.12352
Subscribe to email alerts for current Article's categories