scholarly article | Q13442814 |
P819 | ADS bibcode | 2016PLoSO..1151232S |
P356 | DOI | 10.1371/JOURNAL.PONE.0151232 |
P932 | PMC publication ID | 4788202 |
P698 | PubMed publication ID | 26967999 |
P5875 | ResearchGate publication ID | 297890888 |
P50 | author | Robert Lücking | Q21338799 |
P2093 | author name string | Mark K Johnston | |
B Eugene Smith | |||
P2860 | cites work | Content assessment of the primary biodiversity data published through GBIF network: Status, challenges and potentials | Q57065906 |
DNA barcoding a useful tool for taxonomists | Q57241974 | ||
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Global, 30-m resolution continuous fields of tree cover: Landsat-based rescaling of MODIS vegetation continuous fields with lidar-based estimates of error | Q58102694 | ||
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A single macrolichen constitutes hundreds of unrecognized species | Q34002544 | ||
An alignment confidence score capturing robustness to guide tree uncertainty | Q34014420 | ||
Integrating biodiversity distribution knowledge: toward a global map of life | Q34054456 | ||
The effects of sampling bias and model complexity on the predictive performance of MaxEnt species distribution models | Q34606307 | ||
Towards a unified paradigm for sequence-based identification of fungi | Q35013467 | ||
Error cascades in the biological sciences: the unwanted consequences of using bad taxonomy in ecology | Q48683532 | ||
Ecogeography of the genus Sticta (lichenized Ascomycota: Lobariaceae) in Colombia | Q50454842 | ||
Ecological niche modeling in Maxent: the importance of model complexity and the performance of model selection criteria. | Q51172584 | ||
AUC: a misleading measure of the performance of predictive distribution models | Q56445156 | ||
Taxonomic misidentification in public DNA databases | Q56688719 | ||
Accounting for uncertainty when mapping species distributions: The need for maps of ignorance | Q56754576 | ||
The importance of correcting for sampling bias in MaxEnt species distribution models | Q57005690 | ||
A statistical explanation of MaxEnt for ecologists | Q57062660 | ||
Taxonomic reliability of DNA sequences in public sequence databases: a fungal perspective | Q21090116 | ||
No specimen left behind: industrial scale digitization of natural history collections | Q21128386 | ||
Taxonomic triage and the poverty of phylogeny | Q22065920 | ||
Mass digitization of scientific collections: New opportunities to transform the use of biological specimens and underwrite biodiversity science | Q22678826 | ||
Nuclear ribosomal internal transcribed spacer (ITS) region as a universal DNA barcode marker for Fungi | Q24630304 | ||
A DNA barcode for land plants | Q24655788 | ||
Biological identifications through DNA barcodes | Q24669741 | ||
Symbiota - A virtual platform for creating voucher-based biodiversity information communities | Q28655838 | ||
RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies | Q28658397 | ||
Neuropogon and the Phylogeny of Usnea s.l. (Parmeliaceae, Lichenized Ascomycetes) | Q28959908 | ||
Terrestrial Ecoregions of the World: A New Map of Life on Earth | Q29543325 | ||
Multiple alignment of DNA sequences with MAFFT | Q29614386 | ||
Database resources of the National Center for Biotechnology Information | Q29614503 | ||
Very high resolution interpolated climate surfaces for global land areas | Q29642135 | ||
How do you solve a problem like Letharia? A new look at cryptic species in lichen-forming fungi using Bayesian clustering and SNPs from multilocus sequence data | Q30000638 | ||
GUIDANCE: a web server for assessing alignment confidence scores. | Q30484518 | ||
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Mapping species distributions with MAXENT using a geographically biased sample of presence data: a performance assessment of methods for correcting sampling bias | Q30818965 | ||
Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data | Q33422416 | ||
Plant DNA barcodes and a community phylogeny of a tropical forest dynamics plot in Panama | Q33511419 | ||
Current state and perspectives of fungal DNA barcoding and rapid identification procedures | Q33559987 | ||
P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
P6216 | copyright status | copyrighted | Q50423863 |
P4510 | describes a project that uses | ArcGIS | Q513297 |
P433 | issue | 3 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | phylogenetics | Q171184 |
GenBank | Q901755 | ||
data library | Q5227240 | ||
occurrence data | Q111958254 | ||
P304 | page(s) | e0151232 | |
P577 | publication date | 2016-01-01 | |
P1433 | published in | PLOS One | Q564954 |
P1476 | title | From GenBank to GBIF: Phylogeny-Based Predictive Niche Modeling Tests Accuracy of Taxonomic Identifications in Large Occurrence Data Repositories | |
P478 | volume | 11 |
Q54985495 | Contrasting spatial, temporal and environmental patterns in observation and specimen based species occurrence data. |
Q110854597 | Species in lichen-forming fungi: balancing between conceptual and practical considerations, and between phenotype and phylogenomics |
Q59158005 | Taxonomy for Humans or Computers? Cognitive Pragmatics for Big Data |
Q89559456 | The Global Museum: natural history collections and the future of evolutionary science and public education |
Q93220921 | The history and impact of digitization and digital data mobilization on biodiversity research |
Q47190300 | To increase trust, change the social design behind aggregated biodiversity data |
Q59158004 | To increase trust, change the social design behind aggregated biodiversity data |
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