7 Works

DataCite Metadata Schema Documentation for the Publication and Citation of Research Data and Other Research Outputs v4.4

1 Introduction 1.1 The DataCite Consortium 1.2 DataCite Community Participation 1.3 The Metadata Schema 1.4 Version 4.4 Update 2 DataCite Metadata Properties 2.1 Overview 2.2 Citation 2.3 DataCite Properties 3 XML Example 4 XML Schema 5 Other DataCite Services Appendices Appendix 1: Controlled List Definitions Appendix 2: Earlier Version Update Notes Appendix 3: Standard values for unknown information Appendix 4: Version 4.1 Changes in support of software citation Appendix 5: FORCE11 Software Citation Principles Mapping

DataCite Metadata Schema Documentation for the Publication and Citation of Research Data v4.3

1 Introduction 1.1 The DataCite Consortium 1.2 DataCite Community Participation 1.3 The Metadata Schema 1.4 Version 4.32 Update 2 DataCite Metadata Properties 2.1 Overview 2.2 Citation 2.3 DataCite Properties 3 XML Example 4 XML Schema 5 Other DataCite Services Appendices Appendix 1: Controlled List Definitions Appendix 2: Earlier Version Update Notes Appendix 3: Standard values for unknown information Appendix 4: Version 4.1 Changes in support of software citation Appendix 5: FORCE11 Software Citation Principles Mapping

Data from: Habitat loss in the restricted range of the endemic Ghanaian cichlid Limbochromis robertsi

Margaret Kalacska, Anton Lamboj, Oliver Lucanus, Patrick Osei Darko & J. Pablo Arroyo‚ÄźMora
Remote sensing has become an integral and invaluable tool to inform biodiversity conservation and monitoring of habitat degradation and restoration over time. Despite the disproportionately high levels of biodiversity loss in freshwater ecosystems worldwide, ichthyofauna are commonly overlooked in favor of other keystone species. Freshwater fish, as indicators of overall aquatic ecosystem health can also be indicators of larger scale problems within an ecosystem. As a case study with multi-temporal, multi-resolution satellite imagery, we examined...

DataCite to Dublin Core Mapping v4.4.

On the occasion of the release of v4.4 of the DataCite Metadata Schema its Metadata Working Group has updated the mapping to Dublin Core. This replaces the mapping in the Appendix of the DataCite-MetadataKernel v2.1. The mapping can be used to convert records described following version 4.4 of the DataCite Metadata Schema into records that comply with the Dublin Core Metadata Initiative Schema.

The tepary bean genome provides insight into evolution and domestication under heat stress

Samira Mafi Moghaddam, Atena Oladzad, Chu Shin Koh, Larissa Ramsay, John Hart, Sujan Mamidi, Genevieve Hoopes, Avinash Sreedasyam, Andrew Wiersma, Dongyan Zhao, Jane Grimwood, John P. Hamilton, Jerry Jenkins, Brieanne Vaillancourt, Joshua C. Wood, Jeremy Schmutz, Sateesh Kahale, Tiomothy Porch, Kirstin E. Bett, C. Robin Buell & Phillip E. McClean
Tepary bean (Phaseolus acutifolis A. Gray), native to the Sonoran Desert, is highly adapted to heat and drought. It is a sister species of common bean (Phaseolus vulgaris L.), the most important legume protein source for direct human consumption, and whose production is threatened by climate change. Analysis of the tepary genome revealed mechanisms for resilience to moderate heat stress and a reduced disease resistance gene repertoire, consistent with adaptation to arid, hot environments. Extensive...

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Affiliations

  • National Research Council Canada
    7
  • Columbia University
    5
  • Delft University of Technology
    5
  • Spanish National Research Council
    5
  • Institut de l'Information Scientifique et Technique
    5
  • United States Geological Survey
    5
  • University of Maryland, College Park
    5
  • German National Library of Science and Technology
    5
  • DataCite
    5
  • Swiss Federal Institute of Technology in Zurich
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