Automated Author ProfileGildea, Richard
Diamond Light Source
Gildea, Richard
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: 4.0 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Example data recorded at Diamond Light Source beamline I03 as part of ongoing methods development. This is published to allow software authors to benchmark their analysis. Data were recorded with Pilatus3 6M detector as follows:# 2016-04-27T10:02:44.731
# Pixel_size 172e-6 m x 172e-6 m
# Silicon sensor, thickness 0.001000 m
# Exposure_time 0.0990000 s
# Exposure_period 0.1000000 s
# Tau = 0 s
# Count_cutoff 1009797 counts
# Threshold_setting: 6350 eV
# Gain_setting: autog (vrf = 1.000)
# N_excluded_pixels = 1161
# Excluded_pixels: badpixel_mask.tif
# Flat_field: FF_p60-0126_E12700_T6350_vrf_m0p100.tif
# Trim_file: p60-0126_E12700_T6350.bin
# Image_path: /ramdisk/2016/cm14451-2/20160427/gw/grid-test/0002/
# Ratecorr_lut_directory: ContinuousStandard_v1.1
# Retrigger_mode: 1
# Wavelength 0.97625 A
# Energy_range (0, 0) eV
# Detector_distance 0.33810 m
# Detector_Voffset 0.00000 m
# Beam_xy (1246.42, 1208.60) pixels
# Flux 0.000000
# Filter_transmission 0.0100
# Start_angle -0.0002 deg.
# Angle_increment 0.0000 deg.
# Detector_2theta 0.0000 deg.
# Polarization 0.990
# Alpha 0.0000 deg.
# Kappa 0.0000 deg.
# Phi 0.0000 deg.
# Phi_increment 0.0000 deg.
# Omega -0.0002 deg.
# Omega_increment 0.0000 deg.
# Chi 0.0000 deg.
# Chi_increment 0.0000 deg.
# Oscillation_axis X.CW
# N_oscillations 1
Authors
- Winter, Graeme ;
- Gildea, Richard ;
- Gerstel, Markus ;
- Mcauley, Katherine
Semisynthetic Multi-Lattice Diffraction Data Richard Gildea, Graeme Winter*, Diamond Light Source*[email protected]: 10.5281/zenodo.10820These data are published in support of "New methods for indexing multi-lattice diffraction data" manuscript submitted to Acta Crystallographica section D, authors: Richard J. Gildea (1), David G. Waterman (2, 3), James M. Parkhurst (1), Danny Axford (1), Geoff Sutton (4), David I. Stuart (1,4), Nicholas K. Sauter (5), Gwyndaf Evans (1) and Graeme Winter (1)(1) Diamond Light Source (2) STFC Rutherford Appleton Laboratory (3) Research Complex at Harwell (4) Division of Structural Biology, Wellcome Trust Centre for Human Genetics (5) Lawrence Berkeley National Laboratoryfor the community of methods developers and interested persons to test other algorithms.This work is licensed by Diamond Light Source Ltd under the Creative Commons Attribution 4.0 International Licence (CC-BY): https://creativecommons.org/licenses/by/4.0/Creation of the Data
Bovine pancreatic trypsin crystals were prepared following standard methods (thanks to Carina Lobley @ Diamond Light Source for these) and small wedges of data were taken on beamline I04 at Diamond Light Source during in-house time (thanks to David Hall @ Diamond Light Source for this). Each original data set a - l was collected with arbirtary kappa angles, a total of 10 degrees of rotation with 0.1 degree increments. These data were then summed pixel-wise as follows:To make two-lattice set ag, the counts on every pixel i, j on every image k were added from sweep a and sweep g to get the pixel count for semisynthetic sweep ag. Thus the sweeps a - l were combined to give 12 x 1 lattice, 6 x 2 lattice, 4 x 3 lattice, 3 x 4 lattice and 2 x 6 lattice example sets, which may be found as follows: 1:
a b c d e f g h i j k l2:
ag bh ci dj ek fl3:
aei bfj cgk dhl4:
adgj behk cfil6:
acegik bdfhjlClearly, as the pixels are added more peaks will appear but the background will also increase. The structure of these data allows the original images to be processed as a reference for the initial data quality and the combinations to be processed to assess the effect on the quality of superimposing the data.MethodsThe data were added as follows:each image was read, the pixel data to a flex array and the header to a stringthe pixel data in the flex arrays added to make the n-lattice imagethis array re-compressed using the CBF byte-offset compression, added to the existing header string and written to diskthis procedure was followed for all images in a sweepPython code for these procedures is available on request from the authors.
Authors
- Gildea, Richard ;
- Winter, Graeme