Automated Author ProfileMoore, Pippa
Moore, Pippa
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 2.6 (sum of 10 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Dataset for gene expression and Fv/Fm for consecutive stress assays for Laminaria digitata and Laminaria ochroleuca.
Authors
- King, Nathan ;
- Wilcockson, David ;
- Webster, Richard ;
- Smale, Daniel ;
- Hoelters, Laura ;
- Moore, Pippa
Dataset for gene expression and Fv/Fm for consecutive stress assays for Laminaria digitata and Laminaria ochroleuca.
Authors
- King, Nathan ;
- Wilcockson, David ;
- Webster, Richard ;
- Smale, Daniel ;
- Hoelters, Laura ;
- Moore, Pippa
Modes of reproduction in intertidal species used in the analysis of spatial scales of variation as described by β values.
Authors
- Burrows, Michael T. ;
- Harvey, Robin ;
- Robb, Linda ;
- Poloczanska, Elvira S. ;
- Mieszkowska, Nova ;
- Moore, Pippa ;
- Leaper, Rebecca ;
- Hawkins, Stephen J. ;
- Lisandro Benedetti-Cecchi
Modes of reproduction in intertidal species used in the analysis of spatial scales of variation as described by β values.
Authors
- Burrows, Michael T. ;
- Harvey, Robin ;
- Robb, Linda ;
- Poloczanska, Elvira S. ;
- Mieszkowska, Nova ;
- Moore, Pippa ;
- Leaper, Rebecca ;
- Hawkins, Stephen J. ;
- Lisandro Benedetti-Cecchi
Recovering spectral exponents from simulated data using repeated hierarchical analysis of variance over a range of nested spatial scales.
Authors
- Burrows, Michael T. ;
- Harvey, Robin ;
- Robb, Linda ;
- Poloczanska, Elvira S. ;
- Mieszkowska, Nova ;
- Moore, Pippa ;
- Leaper, Rebecca ;
- Hawkins, Stephen J. ;
- Lisandro Benedetti-Cecchi
File List SynthesiseSpectra2DBetaDetection1000.r -- r code for generating 2D data and determining variance spectra repeatedly from subsamples (n = 1000) Description The SynthesiseSpectra2DBetaDetection1000.r program uses r code to recover spectral exponents from 2D simulated data using repeated hierarchical analysis of variance over a range of nested spatial scales. The method for generating the simulated data using inverse Fourier transforms of 1/f β weighted random phases and numbers, and the returned β-values are given in Appendix B.
Authors
- Burrows, Michael T. ;
- Harvey, Robin ;
- Robb, Linda ;
- Poloczanska, Elvira S. ;
- Mieszkowska, Nova ;
- Moore, Pippa ;
- Leaper, Rebecca ;
- Hawkins, Stephen J. ;
- Lisandro Benedetti-Cecchi
Ordination of sampling sites using multidimensional scaling (MDS) based on distances between sites by sea and measurement of coastline fractal dimension.
Authors
- Burrows, Michael T. ;
- Harvey, Robin ;
- Robb, Linda ;
- Poloczanska, Elvira S. ;
- Mieszkowska, Nova ;
- Moore, Pippa ;
- Leaper, Rebecca ;
- Hawkins, Stephen J. ;
- Lisandro Benedetti-Cecchi
Ordination of sampling sites using multidimensional scaling (MDS) based on distances between sites by sea and measurement of coastline fractal dimension.
Authors
- Burrows, Michael T. ;
- Harvey, Robin ;
- Robb, Linda ;
- Poloczanska, Elvira S. ;
- Mieszkowska, Nova ;
- Moore, Pippa ;
- Leaper, Rebecca ;
- Hawkins, Stephen J. ;
- Lisandro Benedetti-Cecchi
Recovering spectral exponents from simulated data using repeated hierarchical analysis of variance over a range of nested spatial scales.
Authors
- Burrows, Michael T. ;
- Harvey, Robin ;
- Robb, Linda ;
- Poloczanska, Elvira S. ;
- Mieszkowska, Nova ;
- Moore, Pippa ;
- Leaper, Rebecca ;
- Hawkins, Stephen J. ;
- Lisandro Benedetti-Cecchi
File List SynthesiseSpectra2DBetaDetection1000.r -- r code for generating 2D data and determining variance spectra repeatedly from subsamples (n = 1000) Description The SynthesiseSpectra2DBetaDetection1000.r program uses r code to recover spectral exponents from 2D simulated data using repeated hierarchical analysis of variance over a range of nested spatial scales. The method for generating the simulated data using inverse Fourier transforms of 1/f β weighted random phases and numbers, and the returned β-values are given in Appendix B.
Authors
- Burrows, Michael T. ;
- Harvey, Robin ;
- Robb, Linda ;
- Poloczanska, Elvira S. ;
- Mieszkowska, Nova ;
- Moore, Pippa ;
- Leaper, Rebecca ;
- Hawkins, Stephen J. ;
- Lisandro Benedetti-Cecchi