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PhyloSophos: a high-throughput scientific name mapping algorithm augmented with explicit consideration of taxonomic science, and its application on natural product (NP) occurrence database processing
PhyloSophos: a high-throughput scientific name mapping algorithm augmented with explicit consideration of taxonomic science, and its application on natural product (NP) occurrence database processing
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PhyloSophos: a high-throughput scientific name mapping algorithm augmented with explicit consideration of taxonomic science, and its application on natural product (NP) occurrence database processing

Cho, Min Hyung ; Cho, Kwang-Hwi ; No, Kyoung Tai

BMC bioinformatics, 2023-12, Vol.24 (1), p.475-475, Article 475 [Peer Reviewed Journal]

England: BioMed Central Ltd

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2
Contrasting spatial, temporal and environmental patterns in observation and specimen based species occurrence data
Contrasting spatial, temporal and environmental patterns in observation and specimen based species occurrence data
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Contrasting spatial, temporal and environmental patterns in observation and specimen based species occurrence data

Speed, James D M ; Bendiksby, Mika ; Finstad, Anders G ; Hassel, Kristian ; Kolstad, Anders L ; Prestø, Tommy Joger, Ulrich

PloS one, 2018-04, Vol.13 (4), p.e0196417-e0196417 [Peer Reviewed Journal]

United States: Public Library of Science

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3
Quantifying error in occurrence data: Comparing the data quality of iNaturalist and digitized herbarium specimen data in flowering plant families of the southeastern United States
Quantifying error in occurrence data: Comparing the data quality of iNaturalist and digitized herbarium specimen data in flowering plant families of the southeastern United States
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Quantifying error in occurrence data: Comparing the data quality of iNaturalist and digitized herbarium specimen data in flowering plant families of the southeastern United States

White, Elizabeth ; Soltis, Pamela S ; Soltis, Douglas E ; Guralnick, Robert Qin, Hong

PloS one, 2023-12, Vol.18 (12), p.e0295298-e0295298 [Peer Reviewed Journal]

United States: Public Library of Science

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4
Evaluating Bayesian spatial methods for modelling species distributions with clumped and restricted occurrence data
Evaluating Bayesian spatial methods for modelling species distributions with clumped and restricted occurrence data
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Evaluating Bayesian spatial methods for modelling species distributions with clumped and restricted occurrence data

Redding, David W ; Lucas, Tim C D ; Blackburn, Tim M ; Jones, Kate E Bosso, Luciano

PloS one, 2017-11, Vol.12 (11), p.e0187602-e0187602 [Peer Reviewed Journal]

United States: Public Library of Science

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5
Prediction of bird community composition based on point-occurrence data and inferential algorithms: a valuable tool in biodiversity assessments
Prediction of bird community composition based on point-occurrence data and inferential algorithms: a valuable tool in biodiversity assessments
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Prediction of bird community composition based on point-occurrence data and inferential algorithms: a valuable tool in biodiversity assessments

FERIA A, T. Patricia ; PETERSON, A. Townsend

Diversity & distributions, 2002-03, Vol.8 (2), p.49-56 [Peer Reviewed Journal]

Oxford, UK: Blackwell Science Ltd

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6
Probabilistic and preferential sampling approaches offer integrated perspectives of Italian forest diversity
Probabilistic and preferential sampling approaches offer integrated perspectives of Italian forest diversity
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Probabilistic and preferential sampling approaches offer integrated perspectives of Italian forest diversity

Alessi, Nicola ; Bonari, Gianmaria ; Zannini, Piero ; Jiménez‐Alfaro, Borja ; Agrillo, Emiliano ; Attorre, Fabio ; Canullo, Roberto ; Casella, Laura ; Cervellini, Marco ; Chelli, Stefano ; Di Musciano, Michele ; Guarino, Riccardo ; Martellos, Stefano ; Massimi, Marco ; Venanzoni, Roberto ; Zerbe, Stefan ; Chiarucci, Alessandro

Journal of vegetation science, 2023-01, Vol.34 (1), p.n/a [Peer Reviewed Journal]

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7
From GenBank to GBIF: Phylogeny-Based Predictive Niche Modeling Tests Accuracy of Taxonomic Identifications in Large Occurrence Data Repositories
From GenBank to GBIF: Phylogeny-Based Predictive Niche Modeling Tests Accuracy of Taxonomic Identifications in Large Occurrence Data Repositories
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From GenBank to GBIF: Phylogeny-Based Predictive Niche Modeling Tests Accuracy of Taxonomic Identifications in Large Occurrence Data Repositories

Smith, B Eugene ; Johnston, Mark K ; Lücking, Robert Lötters, Stefan

PloS one, 2016-03, Vol.11 (3), p.e0151232 [Peer Reviewed Journal]

United States: Public Library of Science

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8
Using Anecdotal Occurrence Data for Rare or Elusive Species: The Illusion of Reality and a Call for Evidentiary Standards
Using Anecdotal Occurrence Data for Rare or Elusive Species: The Illusion of Reality and a Call for Evidentiary Standards
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Using Anecdotal Occurrence Data for Rare or Elusive Species: The Illusion of Reality and a Call for Evidentiary Standards

McKelvey, Kevin S. ; Aubry, Keith B. ; Schwartz, Michael K.

Bioscience, 2008-06, Vol.58 (6), p.549-555 [Peer Reviewed Journal]

Circulation, AIBS, 1313 Dolley Madison Blvd., Suite 402, McLean, VA 22101. USA: American Institute of Biological Sciences

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9
Integration of VDR genome wide binding and GWAS genetic variation data reveals co-occurrence of VDR and NF-κB binding that is linked to immune phenotypes
Integration of VDR genome wide binding and GWAS genetic variation data reveals co-occurrence of VDR and NF-κB binding that is linked to immune phenotypes
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Integration of VDR genome wide binding and GWAS genetic variation data reveals co-occurrence of VDR and NF-κB binding that is linked to immune phenotypes

Singh, Prashant K ; van den Berg, Patrick R ; Long, Mark D ; Vreugdenhil, Angie ; Grieshober, Laurie ; Ochs-Balcom, Heather M ; Wang, Jianmin ; Delcambre, Sylvie ; Heikkinen, Sami ; Carlberg, Carsten ; Campbell, Moray J ; Sucheston-Campbell, Lara E

BMC genomics, 2017-02, Vol.18 (1), p.132-132, Article 132 [Peer Reviewed Journal]

England: BioMed Central

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10
Mercury speciation analysis in seafood by species-specific isotope dilution: method validation and occurrence data
Mercury speciation analysis in seafood by species-specific isotope dilution: method validation and occurrence data
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Mercury speciation analysis in seafood by species-specific isotope dilution: method validation and occurrence data

Clémens, Stéphanie ; Monperrus, Mathilde ; Donard, Olivier F. X. ; Amouroux, David ; Guérin, Thierry

Analytical & bioanalytical chemistry (Print), 2011-11, Vol.401 (9), p.2699-2711 [Peer Reviewed Journal]

Berlin/Heidelberg: Springer-Verlag

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