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Give valuable experimental datasets a life.

Beamtime is valuable — the resulting datasets can be even more valuable. We offer analysis or re-analysis of underused synchrotron, neutron and laboratory datasets — old, incomplete or never fully modelled — to extract new scientific value from them.

“The experiment may be finished. The science doesn't have to be.”

Typical situations

A synchrotron experiment was completed but only preliminary analysis was performed.
A neutron scattering dataset was collected but never fully modelled.
A PhD project ended before all measurements could be analysed.
A researcher has inherited datasets from a previous group member.
A publication used only part of a large experimental dataset.
New analysis methods now make an old dataset more informative.
A new scientific question has emerged from an existing dataset.
A facility measurement was technically successful but analysis was postponed.

Process

Audit → Prioritisation → Re-analysis → Report

01

Audit

We inventory the datasets and assess their quality and potential.

02

Prioritisation

Together we decide which datasets and questions are worth the effort.

03

Re-analysis

Selected datasets are processed, refined and modelled with current methods.

04

Report

You receive figures, key results, a concise report and recommendations for further work.

Service levels

Three ways to start

Scope is agreed per project.

Data Discovery Audit

We review an existing collection of datasets and identify which measurements are most suitable for further analysis.

  • Dataset inventory
  • Data-quality assessment
  • Recommended analysis approach
  • Potential scientific opportunities
  • Prioritisation of datasets
  • Estimated analysis scope

Data Rescue Project

We analyse a selected group of previously collected datasets and provide a focused scientific assessment.

  • Data-quality review
  • Appropriate processing and analysis
  • Identification of useful structural information
  • Figures and key results
  • Concise technical report
  • Recommendations for deeper analysis

Advanced Structural Investigation

For datasets requiring detailed PDF, RMC, big-box or other advanced structural modelling.

  • PDF analysis
  • Structural modelling
  • RMC / big-box modelling where appropriate
  • Local structural interpretation
  • Comparison of structural models
  • Detailed report and publication-quality figures

Synchrotron & neutron data

Data we work with

We provide specialised analysis support for previously collected synchrotron and neutron diffraction and total-scattering data.

Synchrotron
  • High-energy X-ray diffraction
  • Total scattering
  • Pair Distribution Function (PDF) analysis
  • Temperature-dependent measurements
  • In-situ / operando datasets
Neutron
  • Neutron powder diffraction
  • Neutron total scattering
  • Neutron PDF
  • Variable-temperature datasets
  • Multi-condition datasets

Example scenarios

Typical rescue situations

Illustrative, anonymised scenarios — not client results.

Scenario A

Unfinished beamtime

Starting point: Variable-temperature synchrotron PXRD collected, only a few patterns refined.

What re-analysis can offer: A consistent refinement across the full series and a clear picture of the phase evolution.

Scenario B

Inherited neutron data

Starting point: Neutron total-scattering data left behind after a group member moved on.

What re-analysis can offer: Reprocessing, validation and a first real-space analysis that shows whether the data support a publication.

Scenario C

New question, old data

Starting point: A dataset analysed for average structure years ago; local disorder is now of interest.

What re-analysis can offer: PDF analysis and model comparison to test local-structure hypotheses on existing measurements.

Confidentiality

Handling of your data

Your datasets remain your property. We use them only for the agreed project, keep them confidential, and are happy to sign a non-disclosure agreement before you share anything. Authorship and publication use are agreed with you in advance.

Send us your old datasets

Tell us what you have — a short description is enough to start. We will tell you whether, and how, it is worth re-analysing.

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