2017
DOI: 10.1111/2041-210x.12752
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The Global Pollen Project: a new tool for pollen identification and the dissemination of physical reference collections

Abstract: Summary1. The study of fossil and modern pollen assemblages provides essential information about vegetation dynamics in space and time. A major methodological component of these studies is the identification of pollen grains to plant family, genus and species. This identification is achieved through the use of pollen keys and reference collections of physical specimens, which are regional in scope, disparate and incomplete, slowing the identification process. Reference material is also held in museums and rese… Show more

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Cited by 55 publications
(35 citation statements)
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“…Likely API users include the following: scientists who need to incorporate the most current data into analytical workflows such as scripts written in R; organizations that want to distribute Neotoma data (with attribution) via their own data portal or web interface (e.g., customized and branded web portals for individual constituent databases); and developers creating stand-alone applications for data analysis and display. Known third-party users of Neotoma APIs include NOAA Paleoclimatology (https://www.ncdc.noaa.gov/data-access/ paleoclimatology-data), which has a data search portal that will search and retrieve data housed in either NOAA or Neotoma; Flyover Country (http://fc.umn.edu/), a mobile app-based program for travelers to discover geologic data and knowledge during their journeys (Loeffler et al, 2015); and the Global Pollen Project (https://globalpollenproject.org/) (Martin and Harvey, 2017), a community platform for pollen identification. The APIs are implemented as platform-and language-independent RESTful web services; response formats include JSON and XML.…”
Section: Data Retrieval: Finding Exploring and Downloadingmentioning
confidence: 99%
“…Likely API users include the following: scientists who need to incorporate the most current data into analytical workflows such as scripts written in R; organizations that want to distribute Neotoma data (with attribution) via their own data portal or web interface (e.g., customized and branded web portals for individual constituent databases); and developers creating stand-alone applications for data analysis and display. Known third-party users of Neotoma APIs include NOAA Paleoclimatology (https://www.ncdc.noaa.gov/data-access/ paleoclimatology-data), which has a data search portal that will search and retrieve data housed in either NOAA or Neotoma; Flyover Country (http://fc.umn.edu/), a mobile app-based program for travelers to discover geologic data and knowledge during their journeys (Loeffler et al, 2015); and the Global Pollen Project (https://globalpollenproject.org/) (Martin and Harvey, 2017), a community platform for pollen identification. The APIs are implemented as platform-and language-independent RESTful web services; response formats include JSON and XML.…”
Section: Data Retrieval: Finding Exploring and Downloadingmentioning
confidence: 99%
“…For each level a minimum of 300 terrestrial pollen grains were counted (Data Sheet 1). Morphological identification was achieved using (i) pollen databases (APSA, 2007;Bush and Weng, 2007;Martin and Harvey, 2017); (ii) published plates: (Roubik and Moreno, 1991;Willard et al, 2004); and (iii) botanical reference materials from the OxLEL reference collection. In order to interpret the relative composition of the forest, coniferous and mixed-hardwood forest (MHWF) canopy taxa were compared as a ratio.…”
Section: Fossil Pollen and Sporormiella Analysismentioning
confidence: 99%
“…For each level, a minimum of 300 terrestrial pollen grains were counted. Morphological identification (see supplementary materials Table S2) was achieved using (i) pollen databases [86][87][88]; (ii) published plates: [89,90]; and (iii) botanical reference materials from the OxLEL reference collections and specimens collected in the field (see supplementary materials Figure S1). Amaranthus spinosus was removed from the total palynological counts due to overrepresentation within the assemblage [91].…”
Section: Fossil Pollen and Dung-spore Analysismentioning
confidence: 99%