Approaches to processing and selecting data in multi-crystal collection strategies (supporting data)

{"Supporting":[0],"data/files":[1],"for":[2],"\\"Approaches":[3],"to":[4,22],"processing":[5,29],"and":[6,19],"selecting":[7],"data":[8,17,28],"in":[9,30],"multi-crystal":[10,27],"collection":[11],"strategies\\".":[12],"This":[13],"includes":[14],"program":[15],"logs,":[16],"files":[18],"plotting":[20],"scripts":[21],"support":[23],"this":[24],"publication":[25],"on":[26],"macromolecular":[31],"crystallography.":[32]}

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-25
DOI
https://doi.org/10.5281/zenodo.22099719
Primary Topic
Enzyme Structure and Function
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
preprint

Approaches to processing and selecting data in multi-crystal collection strategies (supporting data)

Amy J. Thompson, James Beilsten‐Edmands, Graeme Winter
Zenodo (CERN European Organization for Nuclear Research)
Enzyme Structure and Function
preprint

Approaches to processing and selecting data in multi-crystal collection strategies (supporting data)

Amy J. Thompson, James Beilsten‐Edmands, Graeme Winter
preprint en

Abstract

Supporting data/files for "Approaches to processing and selecting data in multi-crystal collection strategies". This includes program logs, data files and plotting scripts to support this publication on multi-crystal data processing in macromolecular crystallography.

Zenodo (CERN European Organization for Nuclear Research)
Cornell University (US), Diamond Light Source (GB)
Enzyme Structure and Function
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.