Long-term monitoring of carbonate reference standards (ETH-1–4, IAEA-C2, CIT) and external accuracy checks (IAEA-C1, GU-1, MERCK — not used in Δ₄₇ standardization) measured on the Nu Perspective IRMS. Monitored non-anchor standards (dolomite: SANSA, RODOLO, SRM-88B; apatite: RHINO-DENTIN) tracked for reproducibility. Data processed through BLIMP → D47crunch and updated weekly via automated sync. ETH 1-4 and IAEA standard values from Bernasconi et al. (2021, 2018). GU-1 nominal values from Fiebig et al. (2024).

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Built:
Precision Window:
Clumped Std Analyses
— sessions
Bulk Isotope Std Analyses
— sessions
Δ₄₇ Pooled 1SD
Clumped only · target < 0.030 ‰
δ¹³C Pooled 1SD
Clumped only · target < 0.050 ‰
δ¹⁸O Pooled 1SD
Clumped only · target < 0.080 ‰
% in Green Band
Δ₄₇ anchors · last 90 days
IAEA-C1 Offset
Δ₄₇ measured − 0.3018 ‰
GU-1 Offset
Δ₄₇ measured − 0.2254 ‰
Worst Session
Largest Δ₄₇ pooled SD

Analyses per Standard

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Standard Analyses per Session

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Recent Performance Snapshot

Zoomed view of the last 30 days of data to quickly evaluate short-term instrument performance. Flags sessions with elevated scatter or systematic offsets before they accumulate into long-term drift. All plots show the same green/yellow/red bands as the full time series.

Analyses (30 d)
— sessions
Δ₄₇ Pooled 1SD
Last 30 d · target < 0.030 ‰
Δ₄₇ Mean Bias
Anchor mean − nominal (30 d)
% in Green Band
Δ₄₇ anchors · last 30 d

Δ₄₇ Residuals — Last 30 Days

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δ¹³C Residuals — Last 30 Days

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δ¹⁸O Residuals — Last 30 Days

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Δ₄₇ Session Strip — Last 30 Days

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CUSUM — Last 30 Days (ETH-1/2)

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EWMA — Last 30 Days (ETH-1/2)

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δ¹³C (VPDB) — All Standards Over Time

δ¹³C Time Series (colored by standard)

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δ¹³C Residuals from Nominal

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δ¹⁸O — All Standards Over Time

δ¹⁸O Time Series (colored by standard)

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δ¹⁸O Residuals from Nominal

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Δ₄₇ (I-CDES) — Clumped Standards Over Time

Δ₄₇ Time Series

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Δ₄₇ Residuals from Nominal

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Δ₄₈ (raw) — Clumped Standards Over Time

Δ₄₈ (raw) Time Series

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Δ₄₉ — Clumped Standards Over Time

Δ₄₉ monitors the exclusively ¹³C¹⁸O¹⁸O isotopologue. Together with Δ₄₇ and Δ₄₈, it enables identification of isobaric interferences and provides an additional quality control dimension (Bernecker et al. 2023).

Δ₄₉ Time Series

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Δ₄₇ / Δ₄₈ and Δ₄₈ / Δ₄₉ Cross-Plots

Data plotted relative to the equilibrium relationship (Fiebig et al. 2021). Only data from after 31 Oct 2024 (pre-amp bin pump + collector upgrade) is shown. Points deviating from the equilibrium line may indicate kinetic effects, isobaric interferences, or CO₂–H₂O re-equilibration. The NO₂ interference vector is shown in the ETH-3 diagnostics section.

Δ₄₈ vs Δ₄₇ — All Clumped Standards

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Δ₄₈ vs Δ₄₉ — All Clumped Standards

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Attribution: Session vs Standard Problem?

Session strip plots show per-session deviations of each standard from its long-term mean. Session-wide offsets (all standards shift together) indicate instrument or acid-line issues. Single-standard outliers suggest material degradation or prep problems. The monitored-vs-anchor divergence plot tracks whether non-anchor standards (SANSA, RODOLO, SRM-88B, RHINO-DENTIN) drift independently of anchor standards — a key diagnostic for separating instrument from sample-prep issues.

Δ₄₇ Session Strip — Deviation from Long-Term Mean

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Monitored vs Anchor Divergence (Δ₄₇)

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Monitored vs Anchor Divergence (δ¹³C)

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Monitored vs Anchor Divergence (δ¹⁸O)

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Session-Level Standard Deviations

1 SD of each standard within each session, tracked over time. The red rolling line shows the pooled 1SD across a trailing 20-session window — a moving measure of instrument precision. The yellow dashed line marks the August 2023 48-cup collector upgrade. Use the precision window buttons in the Overview to compare long-term vs. recent performance.

δ¹³C 1SD per Session

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δ¹⁸O 1SD per Session

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Δ₄₇ 1SD per Session

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Transducer Pressure Over Time

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Unknown Sample → Standard Matching

Standards flagged by post-crunch mislabel detection: analyses where all four standardized values (δ¹³C, δ¹⁸O, δ₄₇, Δ₄₇) convincingly match a different standard's cluster. Confidence is based on max z-score across all four parameters. Review candidates on the plots, then add confirmed UIDs to the Names_to_change sheet in params.xlsx.

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Access Full Dataset

Download complete standards QC outputs from the GitHub repository. Updated weekly via automated pipeline.