f1c473de-8c60-47d6-95a5-70c5b519bb8c eng utf8 dataset dataset NERC EDS UK Polar Data Centre +44 (0)1223 221400 British Antarctic Survey, High Cross, Madingley Road Cambridge Cambridgeshire CB3 0ET United Kingdom polardatacentre@bas.ac.uk https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/ information pointOfContact 2019-08-28 ISO 19115 Geographic Information - Metadata ISO 19115:2003(E) European Petroleum Survey Group (EPSG) Geodetic Parameter Registry 2008-11-12 publication European Petroleum Survey Group EPSGadministrator@iogp.org https://www.epsg-registry.org/ EPSG Geodetic Parameter Dataset The EPSG Geodetic Parameter Dataset is a structured dataset of Coordinate Reference Systems and Coordinate Transformations, accessible through this online registry. information publisher urn:ogc:def:crs:EPSG::3031 6.18.3 Plant biology variables under cold stress from published experiments (1975-2019) that include microbial symbionts as an experimental factor. 2019-08-28 creation 2019-08-28 revision 2019-08-28 publication 2019-08-28 released 1.0 https://doi.org/10.5285/f1c473de-8c60-47d6-95a5-70c5b519bb8c doi GB/NERC/BAS/PDC/01233 https://data.bas.ac.uk/ NE/P003079/1 award Please cite this item as: Acuna-Rodriguez, I., & Newsham, K. (2019). Plant biology variables under cold stress from published experiments (1975-2019) that include microbial symbionts as an experimental factor. (Version 1.0) [Data set]. UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation. https://doi.org/10.5285/f1c473de-8c60-47d6-95a5-70c5b519bb8c The data compiles different aspects of plant biology (e.g., anatomy, physiology, fitness and gene-expression) reported in scientific articles that experimentally explored the role of plant microbial symbionts in plant tolerance to chilling (0-15 degrees Celsius) and freezing (<0 degrees Celsius) conditions. Each variable included in the dataset is composed of at least four values, representing the mean of the measured variable with or without a given microbial symbiont and under control or cold conditions in a factorial design. The data were generated for a meta-analysis, and so the level of replication and standard deviation or standard error, plus other relevant information such as plant and microbial species, and source, are also included. The search from which the articles were obtained used ISI-web of Science used ENDOPH* AND COLD and MYCORRHIZA* AND COLD in both title and keyword fields from 1975 to 2019. Funding was provided by Posdoctoral-FONDECYT 3180441, FONDECYT 11140607 and the NERC-CONICYT awards (NE/P003079/1 - PII20150126) No credit. completed Acuna-Rodriguez, Ian S. Universidad de Talca Researcher author Newsham, Kevin K. British Antarctic Survey, Natural Environment Research Council, UK Research & Innovation Researcher author NERC EDS UK Polar Data Centre +44 (0)1223 221400 British Antarctic Survey, High Cross, Madingley Road Cambridge Cambridgeshire CB3 0ET United Kingdom PDCServiceDesk@bas.ac.uk https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/ information pointOfContact asNeeded completed EARTH SCIENCE > Biosphere > Ecological Dynamics > Adaptation EARTH SCIENCE > Biosphere > Ecological Dynamics > Symbiosis EARTH SCIENCE > Biosphere > Vegetation > Plant Characteristics EARTH SCIENCE > Biosphere > Fungi theme Global Change Master Directory (GCMD) Science Keywords 2026-01-27 publication 23 Global Change Data Center, Science and Exploration Directorate, Goddard Space Flight Center (GSFC) National Aeronautics and Space Administration (NASA) Greenbelt MD United States of America https://earthdata.nasa.gov/about/gcmd/global-change-master-directory-gcmd-keywords Global Change Master Directory (GCMD) Keywords The information provided on this page seeks to define how the GCMD Keywords are structured, used and accessed. It also provides information on how users can participate in the further development of the keywords. information publisher Cold-stress Endophyte Fungi Gene-expression Mycorrhiza Plant biology Symbiosis theme Worldwide place Habitats and biotopes theme GEMET - INSPIRE themes, version 1.0 2021-01-06 revision otherRestrictions no limitations to public access otherRestrictions no limitations license Open Government Licence v3.0 doi doi crossReference doi doi crossReference doi doi crossReference doi doi crossReference doi doi crossReference doi doi crossReference doi doi crossReference doi doi crossReference doi doi crossReference doi doi crossReference doi doi crossReference doi doi crossReference doi doi crossReference doi doi crossReference doi doi crossReference url url crossReference url url dependency textTable eng utf8 biota environment -180.0 180.0 -90.0 90.0 It is recommended that careful attention be paid to the contents of any data, and that the author be contacted with any questions regarding appropriate use. If you find any errors or omissions, please report them to polardatacentre@bas.ac.uk. NERC EDS UK Polar Data Centre +44 (0)1223 221400 British Antarctic Survey, High Cross, Madingley Road Cambridge Cambridgeshire CB3 0ET United Kingdom PDCServiceDesk@bas.ac.uk https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/ information distributor text/csv text/plain bytes 46080 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=f1c473de-8c60-47d6-95a5-70c5b519bb8c WWW:LINK-1.0-http--link Get Data Download data download bytes 46080 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=f1c473de-8c60-47d6-95a5-70c5b519bb8c WWW:LINK-1.0-http--link Get Data Download data download dataset Methodology: After the initial selection of experimental articles that included all of the necessary data, we extracted the mean values of each variable that had been used to assess the performance of each plant species. We only used those variables for which it was also possible to estimate the level of replication and a pertinent dispersion value (i.e., standard deviation or standard error). The data were typically derived from tables and figures as reported in the published version of each article. When the figures were the only source of information, the mean and dispersion values were extracted using the online image processor WebPlotDigitizer v4.2 (https://automeris.io/WebPlotDigitizer/), which digitalizes Figures according to the given axes units, enabling the extraction of any point in the defined Cartesian space. Data collection: ISI-Web of Science WebPlotDigitizer v4.2 Data quality: Data represents the reported numerical values as they appear in the published version of each article. Graphically-derived data could include a very small error as a result of digitalization; however, the data should not be biased to any particular experimental condition. asNeeded completed