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EcoSIS NGEE Tropics GLiHT Puerto Rico Campaign Leaf Spectral Reflectance and Transmittance March 2017 (reflectance)

ecosis · NIR

EcoSIS NGEE Tropics GLiHT Puerto Rico Campaign Leaf Spectral Reflectance and Transmittance March 2017 (reflectance). v2.0 standardized NIRS package: 1 spectral source(s), 9 declared target(s). Auto-generated from dataset_card.json (verify before publication).

nirv2ecosis
302
samples
2,151
wavelengths
1
sources
9
targets
27
metadata
NIR
family

Dataset property explorer

Mean profile risk0.61
Highest axisArtefacts locaux · 1.00
Diagnostics8
Sources profiled1
EcoSIS NGEE Tropics GLiHT Puerto Rico Campaign Leaf Spectral Reflectance and Transmittance March 2017 (reflectance) property profile0.250.50.751integritynoiseartefactsbaselinePCA outliersreferencerepeatabilitystructureEcoSIS NGEE Tropics GLiHT Puerto Rico Campaign Leaf Spectral Reflectance and Transmittance March 2017 (reflectance) profileintegrity: 0.00noise: 0.00artefacts: 1.00baseline: 0.75PCA outliers: 0.78reference: 1.00repeatability: 0.50structure: 0.83EcoSIS NGEE Tro…0 center · 1 outer ring · outward = stronger anomaly / heterogeneity signal

Profile axes

Intégrité0.00
Artefacts locaux1.00
Bruit0.00
Outliers PCA0.78
Distance à la référence1.00
Répétabilité0.50
Baseline / forme0.75
Structure multi-régimes0.83
Diagnostic hypotheses00.250.50.751hypothesis scoreSplice / raccord détecteursSplice / raccord détecteurs: 0.900.90Signature VERA25-likeSignature VERA25-like: 0.730.73Erreur calibration / référenc…Erreur calibration / référence blanche: 0.700.70Erreur interpolation / réécha…Erreur interpolation / rééchantillonnage: 0.690.69Différence de sonde / géométr…Différence de sonde / géométrie: 0.660.66Fond différentFond différent: 0.630.63Dataset multi-régimesDataset multi-régimes: 0.630.63Mélange feuille + fondMélange feuille + fond: 0.560.56
DiagnosticScoreForceSignauxInterprétation probable
Splice / raccord détecteursX0.90forteSpike rate 1.00, Jump rate 1.00, RMS/SAM référence 1.00Rupture aux jonctions de détecteurs, calibration locale ou sonde différente.
Signature VERA25-likeX0.73forteSpike rate 1.00, Jump rate 1.00, RMS/SAM référence 1.00Combinaison possible changement de sonde + splice, amplifiée par géométrie, fond ou calibration.
Erreur calibration / référence blancheX0.70moyenneRMS/SAM référence 1.00, artefacts locaux 1.00, PCA Q 0.78Décalage systématique entre campagnes, instruments ou référence blanche.
Erreur interpolation / rééchantillonnageX0.69moyenneSpike rate 1.00, Jump rate 1.00, SNR normal/élevé 1.00Artefacts numériques ou traitement spectral incorrect.
Différence de sonde / géométrieX0.66moyenneRMS/SAM référence 1.00, PCA Q 0.78, Baseline/mean/area 0.75Modification de l'illumination, collecte, angle ou distance sonde-échantillon.
Fond différentX0.63moyenneRMS/SAM référence 1.00, PCA Q 0.78, Baseline/mean/area 0.75Effet systématique du support, blanc/noir, transflectance ou environnement de mesure.
Dataset multi-régimesX0.63moyenneRMS/SAM référence 1.00, Structure PCA 0.83, PCA Q 0.78Mélange de campagnes, opérateurs, lots, setups ou sous-populations spectrales.
Mélange feuille + fondX0.56moyenneRMS/SAM référence 1.00, PCA Q 0.78, Baseline/mean/area 0.75Couverture partielle du spot; contribution du fond ou du support.

Spectral sources

ngee-tropics_puerto_rico_march2017_leaf_spectral_reflectance.csv

X · NIR · Spectra Vista Corporation, Spectral Evolution HR-1024i, PSR Plus
ngee-tropics_puerto_rico_march2017_leaf_spectral_reflectance.csv spectra020406001,0002,0003,000q05-q95 envelopeq25-q75 envelopemedian spectrummedianq25–q75q05–q95wavelength / nm350nm — median 23.46 (q25–q75 7.08–26.62)365nm — median 18.42 (q25–q75 4.67–20.72)381nm — median 12.53 (q25–q75 3.75–13.99)396nm — median 8.14 (q25–q75 3.22–9.17)412nm — median 5.35 (q25–q75 2.92–5.97)427nm — median 4.18 (q25–q75 2.9–4.72)443nm — median 4.05 (q25–q75 2.94–4.63)458nm — median 3.19 (q25–q75 2.64–3.74)474nm — median 3.01 (q25–q75 2.54–3.61)489nm — median 2.95 (q25–q75 2.54–3.58)505nm — median 3.37 (q25–q75 2.84–4.14)520nm — median 5.43 (q25–q75 4.59–7.05)536nm — median 7.96 (q25–q75 6.53–10.71)551nm — median 8.74 (q25–q75 7.09–11.91)567nm — median 7.59 (q25–q75 6.18–10.61)582nm — median 5.88 (q25–q75 4.67–7.94)597nm — median 5.29 (q25–q75 4.14–7.09)613nm — median 4.53 (q25–q75 3.54–6.05)628nm — median 4.13 (q25–q75 3.23–5.42)644nm — median 3.52 (q25–q75 2.89–4.53)659nm — median 3.01 (q25–q75 2.47–3.76)675nm — median 2.92 (q25–q75 2.38–3.47)690nm — median 4.31 (q25–q75 3.59–5.27)706nm — median 15.54 (q25–q75 12.84–20.1)721nm — median 31.05 (q25–q75 27.62–35.09)737nm — median 42.98 (q25–q75 38.64–46.73)752nm — median 47 (q25–q75 42.78–51.3)768nm — median 48.15 (q25–q75 43.79–52.44)783nm — median 48.42 (q25–q75 43.93–52.73)799nm — median 48.69 (q25–q75 44.11–52.93)814nm — median 48.87 (q25–q75 44.25–53.03)829nm — median 48.9 (q25–q75 44.42–53.1)845nm — median 48.88 (q25–q75 44.51–53.17)860nm — median 48.87 (q25–q75 44.47–53.21)876nm — median 48.97 (q25–q75 44.54–53.35)891nm — median 49.05 (q25–q75 44.52–53.42)907nm — median 49.06 (q25–q75 44.42–53.26)922nm — median 49.12 (q25–q75 44.33–53.09)938nm — median 48.87 (q25–q75 44.21–52.59)953nm — median 48.23 (q25–q75 43.76–51.77)969nm — median 47.5 (q25–q75 43.41–51.11)984nm — median 47.39 (q25–q75 43.15–50.84)1,000nm — median 47.87 (q25–q75 43.5–51.25)1,015nm — median 48.36 (q25–q75 44.08–52.19)1,031nm — median 48.67 (q25–q75 44.43–52.6)1,046nm — median 48.91 (q25–q75 44.69–53.11)1,062nm — median 49.03 (q25–q75 44.78–53.27)1,077nm — median 49.11 (q25–q75 44.83–53.25)1,092nm — median 49.01 (q25–q75 44.82–53.23)1,108nm — median 48.95 (q25–q75 44.79–53.03)1,123nm — median 48.6 (q25–q75 44.51–52.56)1,139nm — median 47.11 (q25–q75 43.65–50.86)1,154nm — median 45.17 (q25–q75 41.77–48.94)1,170nm — median 44.38 (q25–q75 41.23–48.23)1,185nm — median 44.18 (q25–q75 41.01–47.92)1,201nm — median 44.16 (q25–q75 40.94–47.82)1,216nm — median 44.37 (q25–q75 41.06–48.14)1,232nm — median 44.79 (q25–q75 41.49–48.68)1,247nm — median 45.1 (q25–q75 41.77–48.98)1,263nm — median 45.25 (q25–q75 42.08–49.13)1,278nm — median 45.02 (q25–q75 41.98–49)1,294nm — median 44.73 (q25–q75 41.52–48.62)1,309nm — median 43.81 (q25–q75 40.62–47.74)1,324nm — median 42.32 (q25–q75 39.15–46.43)1,340nm — median 40.19 (q25–q75 37.13–44.06)1,355nm — median 38.35 (q25–q75 35.24–41.93)1,371nm — median 35.83 (q25–q75 32.79–39.32)1,386nm — median 30.09 (q25–q75 26.61–33.37)1,402nm — median 20.5 (q25–q75 17.7–23.45)1,417nm — median 15.52 (q25–q75 12.99–17.99)1,433nm — median 13.94 (q25–q75 11.27–16.04)1,448nm — median 13.58 (q25–q75 10.95–15.75)1,464nm — median 13.86 (q25–q75 11.31–16.1)1,479nm — median 15.21 (q25–q75 12.69–17.5)1,495nm — median 17.16 (q25–q75 14.61–19.78)1,510nm — median 19.19 (q25–q75 16.56–21.84)1,526nm — median 21.58 (q25–q75 18.69–24.05)1,541nm — median 23.41 (q25–q75 20.53–25.83)1,556nm — median 25.21 (q25–q75 22.19–27.45)1,572nm — median 26.64 (q25–q75 23.71–28.86)1,587nm — median 27.8 (q25–q75 24.78–30.14)1,603nm — median 28.86 (q25–q75 25.89–31.28)1,618nm — median 29.76 (q25–q75 26.78–32.11)1,634nm — median 30.33 (q25–q75 27.43–32.74)1,649nm — median 30.63 (q25–q75 27.68–33.1)1,665nm — median 30.58 (q25–q75 27.61–33.05)1,680nm — median 30.56 (q25–q75 27.53–32.87)1,696nm — median 29.99 (q25–q75 27.07–32.36)1,711nm — median 29.22 (q25–q75 26.42–31.61)1,727nm — median 28.44 (q25–q75 25.63–30.82)1,742nm — median 27.87 (q25–q75 24.96–30.24)1,758nm — median 26.89 (q25–q75 23.98–29.25)1,773nm — median 26.11 (q25–q75 23.26–28.4)1,788nm — median 25.73 (q25–q75 22.92–27.98)1,804nm — median 25.8 (q25–q75 22.91–28.1)1,819nm — median 25.79 (q25–q75 22.84–28.05)1,835nm — median 25.51 (q25–q75 22.49–27.84)1,850nm — median 24.09 (q25–q75 21.09–26.51)1,866nm — median 19.97 (q25–q75 17–22.81)1,881nm — median 12.51 (q25–q75 10.22–15.07)1,897nm — median 5.91 (q25–q75 4.5–7.01)1,912nm — median 3.45 (q25–q75 2.6–4.27)1,928nm — median 3.12 (q25–q75 2.33–3.88)1,943nm — median 3.27 (q25–q75 2.42–4.09)1,959nm — median 3.75 (q25–q75 2.79–4.68)1,974nm — median 4.49 (q25–q75 3.39–5.62)1,990nm — median 5.52 (q25–q75 4.19–6.83)2,005nm — median 6.58 (q25–q75 5.01–8.1)2,021nm — median 7.72 (q25–q75 5.99–9.54)2,036nm — median 8.76 (q25–q75 6.89–10.74)2,051nm — median 9.7 (q25–q75 7.68–11.78)2,067nm — median 10.67 (q25–q75 8.64–13.01)2,082nm — median 11.57 (q25–q75 9.35–13.98)2,098nm — median 12.49 (q25–q75 10–14.77)2,113nm — median 13.33 (q25–q75 10.81–15.61)2,129nm — median 14.21 (q25–q75 11.48–16.67)2,144nm — median 14.85 (q25–q75 12.14–17.29)2,160nm — median 15.5 (q25–q75 12.8–18.13)2,175nm — median 15.87 (q25–q75 13.32–18.63)2,191nm — median 16.47 (q25–q75 13.67–19.34)2,206nm — median 17.01 (q25–q75 14.08–19.69)2,222nm — median 17.03 (q25–q75 14.18–19.87)2,237nm — median 16.51 (q25–q75 13.84–19.35)2,253nm — median 15.67 (q25–q75 13–18.38)2,268nm — median 14.37 (q25–q75 11.94–16.92)2,283nm — median 13.46 (q25–q75 11.17–16.08)2,299nm — median 12.58 (q25–q75 10.22–14.68)2,314nm — median 11.83 (q25–q75 9.48–14.01)2,330nm — median 11.1 (q25–q75 8.96–13.35)2,345nm — median 10.28 (q25–q75 8.31–12.53)2,361nm — median 9.63 (q25–q75 7.79–11.66)2,376nm — median 9.16 (q25–q75 7.41–11)2,392nm — median 8.21 (q25–q75 6.42–10.03)2,407nm — median 7.36 (q25–q75 5.72–9.04)2,423nm — median 6.63 (q25–q75 5.2–8.18)2,438nm — median 5.94 (q25–q75 4.62–7.27)2,454nm — median 5.24 (q25–q75 4–6.46)2,469nm — median 4.7 (q25–q75 3.53–5.7)2,485nm — median 4.15 (q25–q75 3.1–5.14)2,500nm — median 3.95 (q25–q75 2.94–4.82)

Sampling

Wavelengths2,151
Axis range350–2,500 nm
Mean spacing1 nm
Griduniform
Observations357

Signal & quality

Value range0.4 – 70.6
Mean range2.99 – 49
Mean level23.65
Area5.087e+04
PTP45.99
Noise RMS0.006054
SNR3.9e+03
SNR dB7e+01 dB
Dynamic range46
Smoothness0.04784
Saturated0.0%
X-outliers155

Integrity & artefacts

NaN ratio0.00%
Inf count0
Zero ratio0.00%
Spike count17,031
Spike rate2.22%
Jump count23,746
Jump rate3.09%
Clip fraction0.00%

Shape & reference

Baseline slope-17.293
Curvature RMS0.045596
D1 RMS0.18503
RMS to mean3.5378
RMS p959.6564
SAM to mean0.078102
SAM p950.25654
Affine offset p957.5051
Affine gain p95 Δ0.31896
Affine residual p955.1315
Xcorr lag p956

Outliers & repeatability

PCA Q p95/median6.2
Hotelling T2 p95/median4.2
Mahalanobis H p95/median2
Repeat groups55
RMS intra-ID2.2823
SAM intra-ID0.038473
CV intra-ID0.099262

Dimensionality (PCA)

Effective rank2.9
PCs → 95% var4
PCs → 99% var6
Top-10 cum. var99.8%
Computed metric scores 29worst 1.00
FamilleMétrique calculéeValeurScoreNiveauInterprétation datasetCauses typiquesCalcul / scoring
Intégrité des donnéesNaN ratiointegrity.nan_ratio0%0.00faibleSpectre completErreur acquisition/exportcount(isnan(X)) / X.sizealert = min(1, nan_ratio / 0.05)
Intégrité des donnéesInf countintegrity.inf_count00.00faibleNormalCalculs invalidescount(isinf(X))alert = min(1, inf_count / 1)
Intégrité des donnéesZero ratiointegrity.zero_ratio0%0.00faibleNormalExport, saturationcount(X == 0) / count(finite X)alert = min(1, zero_ratio / 0.05)
Amplitude globaleMean reflectanceamplitude.mean_reflectance23.6540.75fortValeur atypique: Trop clair / fond visible ou Trop sombreFond, géométriemean(X finite)alert reuses baseline/shape drift because absolute reflectance ranges are technology-dependent
Amplitude globaleArea under curveamplitude.area_under_curve508690.75fortValeur atypique: Différence d'éclairement ou NormalDistance sondetrapezoid(mean_spectrum, spectral_axis)alert reuses baseline/shape drift because area scale depends on axis and units
Amplitude globalePeak-to-peak (PTP)amplitude.peak_to_peak45.9940.00faibleVariabilité forteSaturationmax(mean_spectrum) - min(mean_spectrum)alert increases when dynamic range is abnormally flat
Amplitude globaleVarianceamplitude.variance302.440.00faibleNormal ou hétérogèneMauvais contactvar(X finite)alert increases when variance/dynamic range is abnormally flat
BruitNoise RMSnoise.noise_rms0.0060540.00faibleStableLampe, détecteurmedian MAD(second derivative) * 1.4826 / sqrt(6)alert = noise_rms / signal_scale, saturated at 5%
BruitSNRnoise.snr3907.30.00faibleBon signalAcquisitionmean(abs(X)) / noise_rmsalert decreases with SNR dB; >=40 dB is treated as low alert
BruitBandwise SNRnoise.bandwise_snr_min52.8050.02faibleZone fiableDétecteurmin(abs(mean_spectrum) / local second-derivative noise)alert decreases with worst-band SNR dB; >=35 dB is treated as low alert
Artefacts locauxSpike countartefacts.spike_count17,0311.00fortArtefactsCosmic rays, splicecount robust outliers in second derivativealert follows spike_rate, saturated at 1%
Artefacts locauxSpike rateartefacts.spike_rate2.22%1.00fortSpectre suspectInterpolationspike_count / (n_samples * (n_features - 2))alert = min(1, spike_rate / 0.01)
Artefacts locauxJump countartefacts.jump_count23,7461.00fortRaccord détecteurSplicecount robust outliers in first derivativealert follows jump_rate, saturated at 1%
Artefacts locauxJump rateartefacts.jump_rate3.09%1.00fortProblème spectralCalibrationjump_count / (n_samples * (n_features - 1))alert = min(1, jump_rate / 0.01)
Artefacts locauxClip fractionartefacts.clip_fraction0.00026%0.00faibleNormalDétecteur saturéfraction of finite cells equal to repeated min/max extremaalert = min(1, clip_fraction / 0.01)
Forme spectraleBaseline slopeshape.baseline_slope-17.2930.75fortDériveÉclairementlinear slope of mean_spectrum over normalized axisalert = abs(slope / signal_scale), saturated at 0.5
Forme spectraleCurvature RMSshape.curvature_rms0.0455960.10faibleLisseFond, splicemedian RMS(second derivative per spectrum)alert = curvature_rms / signal_scale, saturated at 1%
Forme spectraleD1 RMSshape.d1_rms0.185030.08faiblePlatBiologie ou artefactmedian RMS(first derivative per spectrum)alert = d1_rms / signal_scale, saturated at 5%
Outliers multivariésPCA Q (SPE)outliers.pca_q_ratio6.23690.78fortSpectre atypiqueArtefact, mélangep95(Q/SPE residual) / median(Q/SPE residual)alert = min(1, pca_q_ratio / 8)
Outliers multivariésHotelling T²outliers.hotelling_t2_ratio4.16370.52moyenExtrême mais cohérentVariabilité naturellep95(Hotelling T2) / median(Hotelling T2)alert = min(1, hotelling_t2_ratio / 8)
Outliers multivariésMahalanobis Houtliers.mahalanobis_h_ratio2.04050.51moyenOutlier globalDomaine différentp95(sqrt(T2)) / median(sqrt(T2))alert = min(1, mahalanobis_h_ratio / 4)
Comparaison à référenceRMS to mean spectrumreference.rms_to_mean_spectrum_p959.65640.84fortSpectre différentDomain shiftp95 RMS distance to dataset mean spectrumalert = RMS_p95 / signal_scale, saturated at 25%
Comparaison à référenceSpectral Angle Mapper (SAM)reference.sam_to_mean_spectrum_p950.256540.73fortForme différenteFond, géométriep95 spectral angle to dataset mean spectrumalert = min(1, SAM_p95 / 0.35 rad)
RépétabilitéRMS intra-IDrepeatability.rms_intra_id2.28230.50moyenMauvaise répétabilitéPositionnementmedian RMS distance to repeated-sample centroidalert = RMS_intra_ID / signal_scale, saturated at 10%
RépétabilitéSAM intra-IDrepeatability.sam_intra_id0.0384730.26faibleStableAcquisitionmedian SAM to repeated-sample centroidalert = min(1, SAM_intra_ID / 0.15 rad)
RépétabilitéCV intra-IDrepeatability.cv_intra_id0.0992620.40faibleStableOpérateurmedian within-ID band CValert = min(1, CV_intra_ID / 0.25)
Structure du datasetPCA score densitystructure.pca_score_density0.0189650.83fortSous-populationsLots différents1 / median kNN distance in PCA score spacealert follows density_cv/profile structure complexity, not raw density alone
Structure du datasetLocal Outlier Factor (LOF)structure.local_outlier_factor_p952.49270.75fortSpectre isoléCas raresp95 approximate LOF from PCA-score kNN distancesalert = min(1, max(0, LOF_p95 - 1) / 2)
Structure du datasetIsolation Forest scorestructure.isolation_forest_score_p950.557120.83fortSpectre atypiqueDiverses causesp95 IsolationForest anomaly score on PCA scoresalert follows structure complexity; raw score is implementation-dependent
X PCA score plot-1,000-50005001,000-500-2500250500PC1 -70.76 · PC2 -232.2PC1 137 · PC2 -6.133PC1 -2.103 · PC2 150PC1 -3.99 · PC2 -76.26PC1 164.4 · PC2 -102.2PC1 111.9 · PC2 33.41PC1 -73.95 · PC2 -315.8PC1 -171.9 · PC2 16.02PC1 -154.7 · PC2 -32.82PC1 10.71 · PC2 14.84PC1 -153.3 · PC2 -27.33PC1 -199.2 · PC2 -22.29PC1 -95.89 · PC2 37.59PC1 -235.1 · PC2 -51.15PC1 342.4 · PC2 93.1PC1 -95.4 · PC2 -94.26PC1 90.37 · PC2 -340.1PC1 48.19 · PC2 104.1PC1 -205.1 · PC2 115.1PC1 -51.56 · PC2 -163.5PC1 -169.1 · PC2 -52.49PC1 -206.8 · PC2 -51.53PC1 -481.1 · PC2 39.13PC1 -491.9 · PC2 30.97PC1 -383.2 · PC2 59.53PC1 -191 · PC2 268.7PC1 155.9 · PC2 102.5PC1 -228.9 · PC2 7.819PC1 -121.5 · PC2 -76.99PC1 20.08 · PC2 -170.7PC1 -39.31 · PC2 -143.8PC1 -60.02 · PC2 -60.58PC1 -94.94 · PC2 -116.6PC1 -72.01 · PC2 -240.2PC1 231 · PC2 -42.23PC1 -152.1 · PC2 -198.3PC1 89 · PC2 13.24PC1 65.18 · PC2 -96.36PC1 64.69 · PC2 -118.4PC1 185.7 · PC2 -252.6PC1 111.7 · PC2 4.03PC1 126 · PC2 -32.66PC1 261.8 · PC2 -12.96PC1 34.95 · PC2 -17.87PC1 95.31 · PC2 -38.9PC1 95.7 · PC2 18.52PC1 81.35 · PC2 -52.87PC1 535.8 · PC2 5.911PC1 132.6 · PC2 -103.2PC1 240.4 · PC2 -287.4PC1 261.8 · PC2 69.16PC1 96.14 · PC2 73.55PC1 192 · PC2 -142.7PC1 71.63 · PC2 -41.88PC1 59.85 · PC2 -48.91PC1 -153.2 · PC2 22.78PC1 -239.3 · PC2 25.55PC1 -179.8 · PC2 45.27PC1 66.51 · PC2 231PC1 325.4 · PC2 57.81PC1 133.7 · PC2 -26.8PC1 81.59 · PC2 -74.93PC1 291.4 · PC2 -230.5PC1 152.5 · PC2 -135PC1 142.9 · PC2 -58.54PC1 102.8 · PC2 -112PC1 -51.18 · PC2 46.65PC1 183.8 · PC2 -94.61PC1 175.9 · PC2 -52.67PC1 184.4 · PC2 -47.44PC1 166 · PC2 320.3PC1 215.2 · PC2 281.3PC1 153 · PC2 -42.41PC1 196.5 · PC2 -122.3PC1 97.63 · PC2 -76.79PC1 -73.85 · PC2 0.5233PC1 -37.43 · PC2 24.1PC1 123.4 · PC2 -144.5PC1 184 · PC2 -85.55PC1 -10.14 · PC2 -91.68PC1 -31.05 · PC2 -142.5PC1 51.11 · PC2 -73.97PC1 35.88 · PC2 -87.24PC1 -67.41 · PC2 41.56PC1 110.8 · PC2 -47.57PC1 -34.06 · PC2 -7.547PC1 -321.8 · PC2 -134PC1 -313.6 · PC2 -36.43PC1 -205 · PC2 -121.9PC1 -217.2 · PC2 -47.81PC1 -280 · PC2 -109.4PC1 -124.6 · PC2 29.96PC1 -137.9 · PC2 -17.99PC1 -130 · PC2 13.28PC1 -162.5 · PC2 -46.4PC1 -167.8 · PC2 1.757PC1 -125.7 · PC2 -22.07PC1 -223.4 · PC2 25.06PC1 -159.1 · PC2 42.45PC1 -137.4 · PC2 80.25PC1 -96.16 · PC2 -5.171PC1 83.4 · PC2 -37.36PC1 36.84 · PC2 -165.1PC1 -137.6 · PC2 -88.36PC1 -94.17 · PC2 20.44PC1 -124.9 · PC2 51.39PC1 -186.5 · PC2 -8.793PC1 -191 · PC2 48.94PC1 -138.4 · PC2 -19.76PC1 -245.9 · PC2 34.62PC1 -107.9 · PC2 -35.99PC1 -169.3 · PC2 129.8PC1 -175.8 · PC2 87.7PC1 -184.6 · PC2 50.29PC1 -115.6 · PC2 43.68PC1 657.2 · PC2 101.8PC1 124.1 · PC2 417.1PC1 99.47 · PC2 330.7PC1 132.8 · PC2 272PC1 -176.2 · PC2 130PC1 -119.8 · PC2 78.3PC1 136.1 · PC2 452.4PC1 127.9 · PC2 439PC1 189.1 · PC2 383.7PC1 14 · PC2 51.71PC1 -21.43 · PC2 101.2PC1 -50 · PC2 106.3PC1 -9.257 · PC2 117.2PC1 -60.62 · PC2 109.5PC1 8.076 · PC2 -57.43PC1 86.65 · PC2 15.91PC1 159.6 · PC2 -25.54PC1 -134.5 · PC2 48.4PC1 -14.24 · PC2 -18.13PC1 48.76 · PC2 -72.73PC1 50.32 · PC2 -55.97PC1 -50.5 · PC2 25.64PC1 36.21 · PC2 -128.8PC1 -188 · PC2 121.7PC1 -75.32 · PC2 51.46PC1 183.4 · PC2 -181.3PC1 -48.5 · PC2 27.65PC1 -8.344 · PC2 37.85PC1 4.693 · PC2 77.93PC1 32.13 · PC2 0.4667PC1 187.8 · PC2 -36.6PC1 186.6 · PC2 -103.7PC1 77.22 · PC2 -99.92PC1 82.74 · PC2 11.67PC1 115.7 · PC2 29.82PC1 37.15 · PC2 -16.93PC1 -11.87 · PC2 53.91PC1 27.95 · PC2 -16.43PC1 -30.35 · PC2 29.45PC1 7.335 · PC2 -21.36PC1 10.32 · PC2 109.7PC1 17.85 · PC2 66.42PC1 18.8 · PC2 45.99PC1 78.89 · PC2 -22.08PC1 771 · PC2 18.7PC1 239.4 · PC2 341.5PC1 221.4 · PC2 227.1PC1 190.5 · PC2 239.5PC1 5.924 · PC2 114.8PC1 8.505 · PC2 69.27PC1 234.3 · PC2 400.2PC1 262 · PC2 367.4PC1 261 · PC2 347.2PC1 104.1 · PC2 92.42PC1 171.6 · PC2 35.07PC1 88.81 · PC2 165.5PC1 -325.9 · PC2 236PC1 -218.6 · PC2 98.43PC1 59.74 · PC2 129.7PC1 50.56 · PC2 80.81PC1 -29.66 · PC2 110.2PC1 1.057 · PC2 113.1PC1 129.1 · PC2 10.07PC1 -147 · PC2 173.4PC1 -133.2 · PC2 -23.36PC1 -45.27 · PC2 80PC1 22.75 · PC2 39.03PC1 210.4 · PC2 115.6PC1 151.8 · PC2 51.07PC1 288.2 · PC2 -175.7PC1 -134.9 · PC2 9.558PC1 -250.6 · PC2 -4.352PC1 -212.3 · PC2 346.7PC1 -205.4 · PC2 218.7PC1 -72.4 · PC2 45.75PC1 90.92 · PC2 26.49PC1 55.53 · PC2 48.85PC1 -54.15 · PC2 18.51PC1 18.8 · PC2 43.42PC1 7.779 · PC2 29.03PC1 112.6 · PC2 -5.27PC1 57.9 · PC2 21.21PC1 175.4 · PC2 -102.1PC1 38.9 · PC2 -69.85PC1 22.49 · PC2 -105.1PC1 55.56 · PC2 -88.92PC1 -45.09 · PC2 -77.68PC1 66.05 · PC2 -28.98PC1 228.3 · PC2 405.3PC1 20.95 · PC2 138.3PC1 156 · PC2 6.514PC1 130.4 · PC2 50.89PC1 98.76 · PC2 14.89PC1 -48.06 · PC2 74.68PC1 297.9 · PC2 368.8PC1 239.9 · PC2 438.2PC1 20.15 · PC2 -89.41PC1 -73.73 · PC2 -50.59PC1 -144.1 · PC2 -98PC1 -24.6 · PC2 -101.2PC1 -40.34 · PC2 -10.69PC1 197.4 · PC2 -203.2PC1 244.8 · PC2 -297.8PC1 291.1 · PC2 -238.2PC1 -155.4 · PC2 43.02PC1 -111.2 · PC2 13.53PC1 13.64 · PC2 -81.52PC1 0.6551 · PC2 -122.4PC1 76.32 · PC2 -235.3PC1 -206.5 · PC2 27.69PC1 -256.1 · PC2 39.31PC1 11.63 · PC2 -70.14PC1 -128.4 · PC2 56.72PC1 -167.6 · PC2 -186.6PC1 -16.96 · PC2 -150.9PC1 -17.56 · PC2 -117.2PC1 -173.7 · PC2 -66.72PC1 33.09 · PC2 -73.8PC1 24.56 · PC2 -153.2PC1 355.9 · PC2 50.7PC1 102.6 · PC2 -51.91PC1 161.4 · PC2 -263.4PC1 162.1 · PC2 -365.5PC1 -27.83 · PC2 -264.2PC1 17.13 · PC2 68.61PC1 14.39 · PC2 -14.17PC1 -192 · PC2 -191.9PC1 5.316 · PC2 104.7PC1 555.9 · PC2 -14.23PC1 18.29 · PC2 -58.09PC1 72.83 · PC2 -34.7PC1 -94.86 · PC2 -13.62PC1 -23.78 · PC2 -37.28PC1 -111.1 · PC2 -22.72PC1 -78.5 · PC2 -12.42PC1 -67.76 · PC2 -50.51PC1 323.5 · PC2 29.83PC1 403.5 · PC2 -9.799PC1 -74.63 · PC2 -37.86PC1 -106.7 · PC2 -71.72PC1 43.76 · PC2 -10.49PC1 -222.9 · PC2 65.78PC1 -195.7 · PC2 68.02PC1 -148.7 · PC2 43.92PC1 240.1 · PC2 68.85PC1 221.2 · PC2 116.3PC1 229.3 · PC2 82.37PC1 -91.86 · PC2 -92.28PC1 -89.3 · PC2 -92.12PC1 -129.1 · PC2 -60.97PC1 -121.5 · PC2 -39.72PC1 -61.47 · PC2 -98.89PC1 82.69 · PC2 -18.19PC1 -76.56 · PC2 55.49PC1 26.16 · PC2 -160.3PC1 95.18 · PC2 -99.32PC1 111 · PC2 -86.92PC1 126.8 · PC2 -58.76PC1 -105.1 · PC2 -90.28PC1 342.3 · PC2 -45.6PC1 -50.73 · PC2 79.9PC1 -128.6 · PC2 69.16PC1 -97.09 · PC2 22.51PC1 -108.2 · PC2 -260.9PC1 -131.9 · PC2 -60.82PC1 -195.8 · PC2 -74.69PC1 -137.4 · PC2 -146.6PC1 -9.714 · PC2 -68.4PC1 -136.7 · PC2 -83.83PC1 -39.59 · PC2 -190.1PC1 -427.9 · PC2 34.11PC1 -307.5 · PC2 -8.67PC1 -30.06 · PC2 -141.9PC1 -202.9 · PC2 -64.93PC1 -171.7 · PC2 56.09PC1 -515 · PC2 152.2PC1 41.57 · PC2 -19.79PC1 -70.51 · PC2 -77.47PC1 -203.8 · PC2 -100.3PC1 349.1 · PC2 63.28PC1 -117.9 · PC2 49.07PC1 232.7 · PC2 3.568PC1 183.7 · PC2 8.696PC1 -63.65 · PC2 -31.32PC1 4.46 · PC2 -56.2PC1 -34.36 · PC2 -98.55PC1 -110.2 · PC2 56.72PC1 -192.6 · PC2 114.5PC1 -129.5 · PC2 65.68PC1 -389.7 · PC2 231PC1 -394.9 · PC2 186.9PC1 -341.9 · PC2 151.8PC1 -192.4 · PC2 -62.35PC1 -153.7 · PC2 -65.91PC1 -62.51 · PC2 -86.06PC1 -130.3 · PC2 80.75PC1 -82.6 · PC2 18.48PC1 -410.9 · PC2 -17.7PC1 -517.8 · PC2 73.79PC1 -639.5 · PC2 33.32PC1 -310.7 · PC2 14.93PC1 -145.7 · PC2 86.9PC1 -20.62 · PC2 55.06PC1 -80.75 · PC2 47.96PC1 -97.43 · PC2 69.95PC1 -177.9 · PC2 21.72PC1 -212.9 · PC2 41.07PC1 -165.3 · PC2 118.3PC1 25.06 · PC2 86.52PC1 -4.551 · PC2 55.63PC1 -0.1428 · PC2 103.4PC1 71.75 · PC2 106.5PC1 62.85 · PC2 99.93PC1 -13.56 · PC2 -13.6PC1 198.8 · PC2 -17.23PC1 -4.267 · PC2 10.56PC1 35.88 · PC2 -131.3PC1 263.9 · PC2 0.9367PC1 182 · PC2 -72.85PC1 -160 · PC2 -112.5PC1 318.3 · PC2 28.01PC1 120.3 · PC2 77.44PC1 87.07 · PC2 9.184PC1 86.2 · PC2 -2.553PC1 389.7 · PC2 -15.7PC1 134.2 · PC2 -62.28PC1 54.43 · PC2 -92.94PC1 19.17 · PC2 -133.5PC1 63.4 · PC2 -33.76PC1 45.92 · PC2 -97.47PC1 180 · PC2 -126.6PC1 110.4 · PC2 -212.9PC1 114.7 · PC2 50.37PC1 15.37 · PC2 61.31PC1 78.56 · PC2 -112.6PC1 431.8 · PC2 9.682PC1 -23.51 · PC2 -50.46PC1 -8.329 · PC2 -118.1PC1 99.99 · PC2 13.27PC1 22.81 · PC2 -157.7PC1 180.6 · PC2 -139.5PC1 45.31 · PC2 -186.6PC1 (59.6%)PC2 (30.1%)357 scores
PCA explained variance0%25%50%75%100%PC1: 59.6% (cumulative 59.6%)1PC2: 30.1% (cumulative 89.7%)2PC3: 4.6% (cumulative 94.3%)3PC4: 3.1% (cumulative 97.5%)4PC5: 0.9% (cumulative 98.4%)5PC6: 0.8% (cumulative 99.2%)6PC7: 0.3% (cumulative 99.5%)7PC8: 0.2% (cumulative 99.7%)8PC9: 0.1% (cumulative 99.8%)9PC10: 0.1% (cumulative 99.8%)10cumulative explained variancePC variancecumulativeprincipal component · cumulative (dashed)
X-Y spectral correlation 8
X · Leaf_H2O_pc spectral correlation-1-0.500.51absolute correlation envelopesigned correlationabsolute correlation01,0002,0003,000|r|signed raxis · Pearson correlation scale
X · SLA spectral correlation-1-0.500.51absolute correlation envelopesigned correlationabsolute correlation01,0002,0003,000|r|signed raxis · Pearson correlation scale
X · LMA spectral correlation-1-0.500.51absolute correlation envelopesigned correlationabsolute correlation01,0002,0003,000|r|signed raxis · Pearson correlation scale
Targetmax |r|axis @ maxmean |r||r| ≥ .5
Leaf_H2O_pc0.6011,4000.34216.7%
SLA0.0621,1440.02830.0%
LMA0.09032,2750.04250.0%
Cmass0.3281,9020.1590.0%
Nmass0.2731,1040.1360.0%
CNratio0.2822,1390.1780.0%
Carea0.07522,2750.03640.0%
Narea0.0572,2750.03210.0%

Metric interpretation reference

Metric catalog 29
FamilleMétriqueCe qu’elle détecteForte valeur =Faible valeur =Causes typiquesCalcul / score
Intégrité des donnéesNaN ratioDonnées manquantesSpectre corrompuSpectre completErreur acquisition/exportcount(isnan(X)) / X.sizealert = min(1, nan_ratio / 0.05)
Intégrité des donnéesInf countValeurs infiniesCorruptionNormalCalculs invalidescount(isinf(X))alert = min(1, inf_count / 1)
Intégrité des donnéesZero ratioColonnes ou cellules nullesSpectre tronquéNormalExport, saturationcount(X == 0) / count(finite X)alert = min(1, zero_ratio / 0.05)
Amplitude globaleMean reflectanceNiveau moyenTrop clair / fond visibleTrop sombreFond, géométriemean(X finite)alert reuses baseline/shape drift because absolute reflectance ranges are technology-dependent
Amplitude globaleArea under curveIntensité globaleDifférence d'éclairementNormalDistance sondetrapezoid(mean_spectrum, spectral_axis)alert reuses baseline/shape drift because area scale depends on axis and units
Amplitude globalePeak-to-peak (PTP)DynamiqueVariabilité forteSpectre platSaturationmax(mean_spectrum) - min(mean_spectrum)alert increases when dynamic range is abnormally flat
Amplitude globaleVarianceVariabilité spectraleNormal ou hétérogèneSpectre platMauvais contactvar(X finite)alert increases when variance/dynamic range is abnormally flat
BruitNoise RMSBruit haute fréquenceBruitéStableLampe, détecteurmedian MAD(second derivative) * 1.4826 / sqrt(6)alert = noise_rms / signal_scale, saturated at 5%
BruitSNRQualité signalBon signalMauvais signalAcquisitionmean(abs(X)) / noise_rmsalert decreases with SNR dB; >=40 dB is treated as low alert
BruitBandwise SNRBruit localiséZone fiableZone problématiqueDétecteurmin(abs(mean_spectrum) / local second-derivative noise)alert decreases with worst-band SNR dB; >=35 dB is treated as low alert
Artefacts locauxSpike countPics étroitsArtefactsSpectre propreCosmic rays, splicecount robust outliers in second derivativealert follows spike_rate, saturated at 1%
Artefacts locauxSpike rateDensité de picsSpectre suspectNormalInterpolationspike_count / (n_samples * (n_features - 2))alert = min(1, spike_rate / 0.01)
Artefacts locauxJump countDiscontinuitésRaccord détecteurContinuSplicecount robust outliers in first derivativealert follows jump_rate, saturated at 1%
Artefacts locauxJump rateFréquence de sautsProblème spectralNormalCalibrationjump_count / (n_samples * (n_features - 1))alert = min(1, jump_rate / 0.01)
Artefacts locauxClip fractionSaturationClippingNormalDétecteur saturéfraction of finite cells equal to repeated min/max extremaalert = min(1, clip_fraction / 0.01)
Forme spectraleBaseline slopePente globaleDériveStableÉclairementlinear slope of mean_spectrum over normalized axisalert = abs(slope / signal_scale), saturated at 0.5
Forme spectraleCurvature RMSCourbureForme inhabituelleLisseFond, splicemedian RMS(second derivative per spectrum)alert = curvature_rms / signal_scale, saturated at 1%
Forme spectraleD1 RMSVariabilité localeSpectre structuréPlatBiologie ou artefactmedian RMS(first derivative per spectrum)alert = d1_rms / signal_scale, saturated at 5%
Outliers multivariésPCA Q (SPE)Non expliqué par PCASpectre atypiqueConformeArtefact, mélangep95(Q/SPE residual) / median(Q/SPE residual)alert = min(1, pca_q_ratio / 8)
Outliers multivariésHotelling T²Extrême dans PCAExtrême mais cohérentCentralVariabilité naturellep95(Hotelling T2) / median(Hotelling T2)alert = min(1, hotelling_t2_ratio / 8)
Outliers multivariésMahalanobis HDistance au nuageOutlier globalPopulation normaleDomaine différentp95(sqrt(T2)) / median(sqrt(T2))alert = min(1, mahalanobis_h_ratio / 4)
Comparaison à référenceRMS to mean spectrumDistance moyenneSpectre différentTypiqueDomain shiftp95 RMS distance to dataset mean spectrumalert = RMS_p95 / signal_scale, saturated at 25%
Comparaison à référenceSpectral Angle Mapper (SAM)Différence de formeForme différenteSimilaireFond, géométriep95 spectral angle to dataset mean spectrumalert = min(1, SAM_p95 / 0.35 rad)
RépétabilitéRMS intra-IDReproductibilitéMauvaise répétabilitéStablePositionnementmedian RMS distance to repeated-sample centroidalert = RMS_intra_ID / signal_scale, saturated at 10%
RépétabilitéSAM intra-IDVariation de formeInstableStableAcquisitionmedian SAM to repeated-sample centroidalert = min(1, SAM_intra_ID / 0.15 rad)
RépétabilitéCV intra-IDVariabilité interneMauvais contrôleStableOpérateurmedian within-ID band CValert = min(1, CV_intra_ID / 0.25)
Structure du datasetPCA score densityClustersSous-populationsHomogèneLots différents1 / median kNN distance in PCA score spacealert follows density_cv/profile structure complexity, not raw density alone
Structure du datasetLocal Outlier Factor (LOF)Anomalie localeSpectre isoléPopulation normaleCas raresp95 approximate LOF from PCA-score kNN distancesalert = min(1, max(0, LOF_p95 - 1) / 2)
Structure du datasetIsolation Forest scoreAnomalie globaleSpectre atypiqueNormalDiverses causesp95 IsolationForest anomaly score on PCA scoresalert follows structure complexity; raw score is implementation-dependent
Technology-specific extensions
TechnologieAdaptations / métriquesAnomalies cibléesCommentaire pratique
UV-Vis 300-1000 nmBaseline, pente globale, dérive aux bords 300-350 et 900-1000; métriques par zonesLumière parasite, mauvais blanc, saturation, faible signal aux extrémitésLes bords sont souvent instables; calculer aussi des scores edge/middle.
UV-Vis 300-1000 nmSaturation / clipping proche absorbance max ou réflectance maxSignal écrêtéTrès important si absorption forte.
UV-Vis 300-1000 nmRed-edge, position de maximum, ratios de bandes si végétalDécalage biologique ou artefact optiqueAide à distinguer changement réel et problème d'acquisition.
UV-Vis 300-1000 nmSmoothness / roughness indexBruit haute fréquenceSouvent plus informatif que le SNR seul.
MIR / ATR-FTIRATR contact quality index: intensité globale, aire totale, profondeur des bandes clésMauvais contact cristal-échantillonCrucial: beaucoup d'anomalies viennent du contact ATR.
MIR / ATR-FTIRCO2 / H2O atmospheric bandsMauvaise correction atmosphériquePics parasites fréquents.
MIR / ATR-FTIRBaseline curvature / rubber-band residualDiffusion, contact, dérive baselineTrès utile avant PCA.
MIR / ATR-FTIRPeak position shiftMauvais alignement spectral / calibrationImportant en FTIR car de petits shifts comptent.
MIR / ATR-FTIRBand area ratios sur bandes connuesSpectre chimiquement incohérentÀ adapter par matrice: polysaccharides, protéines, lipides, etc.
HS-MSTotal Ion Current (TIC), Base Peak Intensity (BPI)Injection faible, ionisation instableÉquivalent MS du niveau global spectral.
HS-MSNombre de pics détectésSpectre pauvre ou trop bruitéTrop peu = mauvais signal; trop = bruit/contamination.
HS-MSMass accuracy / m/z driftProblème calibration masseFondamental en HRMS.
HS-MSRetention time drift si LC/GC-MSDérive chromatographiqueÀ suivre sur standards/QC pools.
HS-MSBlank contamination scoreContaminants / carry-overComparer échantillons vs blancs.
HS-MSInternal standard CVVariabilité instrumentaleTrès robuste si standards disponibles.
HS-MSMissingness par featureInstabilité de détectionCrucial pour filtrer les variables.
Avec répétitionsRMS intra-échantillonRépétabilité globaleApplicable à toutes les technologies.
Avec répétitionsSAM / corrélation intra-échantillonRépétabilité de formeTrès utile pour spectres.
Avec répétitionsCV intra-échantillon par bande / featureRépétabilité localeDétecte les zones instables.
Avec répétitionsICC ou variance componentsPart variance échantillon vs techniqueTrès utile si plusieurs répétitions par sample.
Avec répétitionsDistance au centroïde intra-IDRépétition aberrantePermet de flagger la mauvaise répétition plutôt que le sample entier.
Bug-hunting / supervised audits
Famille de bug potentielMéthodes à ajouterCe que ça détecteÉtat dans l’explorateur
Shift spectral globalCorrélation spectre moyen inter-dataset, DTW, cross-correlation, comparaison positions de picsDécalage en longueur d'onde, mauvais alignement, interpolation différentePartiellement calculé: cross-correlation lag et dispersion des positions de pics vs spectre moyen.
Baseline / offset / gainRégression chaque spectre vs spectre moyen: x = a + b ref + residual; suivi de a, b, RMS résiduelOffset additif, effet multiplicatif, dérive de baselineCalculé dans reference.affine_*.
Mélange de lignes / mauvais appariement X-M-YVérification index, hash des lignes, duplication ID, distance spectrale intra-ID, labels incohérentsLignes mélangées, metadata mal alignées, Y attribué au mauvais spectrePartiellement couvert par répétabilité intra-ID; checks index/hash à ajouter au pipeline canonical.
Fuite d'information / répétitions mal splitéesGroupKFold par sample_id vs StratifiedKFold random; audit des partitions par sample_idPerformance artificiellement bonne due aux répétitionsNécessite splits et benchmark modèle; non calculé par la carte descriptive.
Label bugsÉchantillons proches en X mais Y différents, confident learning, erreurs systématiques FP/FNY inversés, erreurs de saisie, classes ambiguësNécessite Y et/ou modèle; recommandé pour l'explorateur supervisé.
Sous-domaines cachésPCA/UMAP/t-SNE + clustering non supervisé + association avec dataset/Y/date/operatorLots, campagnes, sondes, backgrounds non renseignésPartiellement calculé par structure PCA/LOF; UMAP/t-SNE hors carte statique.
Artefacts localisés inconnusCarte wavelength x dataset: différence moyenne, différence variance, KS par longueur d'ondeRégions spectrales anormales non anticipéesÀ calculer au niveau banque quand plusieurs datasets partagent un axe spectral.
Ruptures instrumentalesDiscontinuités dans dérivées, changepoint detectionSplice, raccord détecteur, saut local non prévuCalculé par jump/spike rates; changepoint plus avancé à ajouter.
Mélange / contamination spectraleNMF / unmixing / reconstruction par convex hullComposante externe: fond, plastique, solNon calculé automatiquement; nécessite hypothèses de composants ou grande bibliothèque.
Features instables mais prédictivesImportance modèle vs instabilité QC par variableModèle qui apprend un artefact plutôt qu'un signal biologiqueNécessite modèle supervisé; recommandé pour rapports de benchmark.

Variables

Targets 9

Leaf_H2O_pc

target · numeric
Leaf_H2O_pc distribution010203044.19 – 45.88: 445.88 – 47.56: 1047.56 – 49.24: 849.24 – 50.93: 1950.93 – 52.61: 2652.61 – 54.3: 2854.3 – 55.98: 1555.98 – 57.67: 2557.67 – 59.35: 2459.35 – 61.04: 2061.04 – 62.72: 1762.72 – 64.41: 1364.41 – 66.09: 966.09 – 67.78: 1067.78 – 69.47: 1269.47 – 71.15: 1171.15 – 72.83: 572.83 – 74.52: 774.52 – 76.2: 676.2 – 77.89: 277.89 – 79.57: 1079.57 – 81.26: 281.26 – 82.94: 282.94 – 84.63: 3102050100
n / missing302 / 14
Mean ± SD59.97 ± 9
Median58.36
Range44.19 – 84.63
CV0.15
Skew / kurtosis0.67 / -0.23
Normal?no

SLA

target · numeric
SLA distribution0100200300-9,999 – -9569: 1-9569 – -9140: 0-9140 – -8710: 0-8710 – -8281: 0-8281 – -7851: 0-7851 – -7422: 0-7422 – -6992: 0-6992 – -6563: 0-6563 – -6133: 0-6133 – -5704: 0-5704 – -5274: 0-5274 – -4845: 0-4845 – -4415: 0-4415 – -3986: 0-3986 – -3556: 0-3556 – -3127: 0-3127 – -2697: 0-2697 – -2268: 0-2268 – -1838: 0-1838 – -1409: 0-1409 – -979.4: 0-979.4 – -549.8: 0-549.8 – -120.3: 0-120.3 – 309.2: 287-10,000-5,00005,000
n / missing302 / 14
Mean ± SD80.09 ± 598
Median107.9
Range-9,999 – 309.2
CV7.47
Skew / kurtosis-17 / 2.8e+02
Normal?no

LMA

target · numeric
LMA distribution0100200300-9,999 – -9568: 1-9568 – -9137: 0-9137 – -8706: 0-8706 – -8275: 0-8275 – -7844: 0-7844 – -7413: 0-7413 – -6982: 0-6982 – -6551: 0-6551 – -6120: 0-6120 – -5690: 0-5690 – -5259: 0-5259 – -4828: 0-4828 – -4397: 0-4397 – -3966: 0-3966 – -3535: 0-3535 – -3104: 0-3104 – -2673: 0-2673 – -2242: 0-2242 – -1811: 0-1811 – -1380: 0-1380 – -949.1: 0-949.1 – -518.1: 0-518.1 – -87.16: 0-87.16 – 343.8: 287-10,000-5,00005,000
n / missing302 / 14
Mean ± SD68.02 ± 597
Median92.22
Range-9,999 – 343.8
CV8.78
Skew / kurtosis-17 / 2.8e+02
Normal?no

Overlap_Matching_Type

target · categorical
Overlap_Matching_Type classesReflectanceReflectance: 253253RadianceRadiance: 4949
n / missing302 / 0
Classes2
Balance (entropy)0.64
Imbalance ratio5
Top classReflectance (253)

Cmass

target · numeric
Cmass distribution02040237.8 – 250.9: 1250.9 – 264.1: 0264.1 – 277.2: 0277.2 – 290.4: 0290.4 – 303.5: 0303.5 – 316.6: 0316.6 – 329.8: 0329.8 – 342.9: 0342.9 – 356: 0356 – 369.2: 2369.2 – 382.3: 0382.3 – 395.5: 1395.5 – 408.6: 0408.6 – 421.7: 1421.7 – 434.9: 2434.9 – 448: 13448 – 461.1: 15461.1 – 474.3: 33474.3 – 487.4: 38487.4 – 500.6: 30500.6 – 513.7: 37513.7 – 526.8: 22526.8 – 540: 9540 – 553.1: 61002005001,000
n / missing302 / 92
Mean ± SD485.7 ± 34.6
Median486.9
Range237.8 – 553.1
CV0.0713
Skew / kurtosis-2.2 / 13
Normal?no

Nmass

target · numeric
Nmass distribution01020307.7 – 9.554: 19.554 – 11.41: 1111.41 – 13.26: 1013.26 – 15.12: 1915.12 – 16.97: 2516.97 – 18.82: 2618.82 – 20.68: 2120.68 – 22.53: 2422.53 – 24.39: 2024.39 – 26.24: 1826.24 – 28.1: 1328.1 – 29.95: 529.95 – 31.8: 531.8 – 33.66: 133.66 – 35.51: 435.51 – 37.37: 137.37 – 39.22: 339.22 – 41.08: 241.08 – 42.93: 042.93 – 44.78: 044.78 – 46.64: 046.64 – 48.49: 048.49 – 50.35: 050.35 – 52.2: 10204060
n / missing302 / 92
Mean ± SD20.69 ± 6.68
Median19.8
Range7.7 – 52.2
CV0.323
Skew / kurtosis1 / 2.2
Normal?no

CNratio

target · numeric
CNratio distribution01020309.03 – 10.78: 110.78 – 12.53: 212.53 – 14.27: 514.27 – 16.02: 1116.02 – 17.77: 1117.77 – 19.52: 1819.52 – 21.27: 1821.27 – 23.01: 2323.01 – 24.76: 2224.76 – 26.51: 1326.51 – 28.26: 1928.26 – 30: 1330 – 31.75: 1131.75 – 33.5: 1033.5 – 35.25: 835.25 – 37: 437 – 38.74: 238.74 – 40.49: 340.49 – 42.24: 542.24 – 43.99: 143.99 – 45.74: 345.74 – 47.48: 147.48 – 49.23: 349.23 – 50.98: 30204060
n / missing302 / 92
Mean ± SD25.84 ± 8.33
Median24.12
Range9.03 – 50.98
CV0.322
Skew / kurtosis0.88 / 0.63
Normal?no

Carea

target · numeric
Carea distribution0100200300-9,999 – -9575: 1-9575 – -9152: 0-9152 – -8728: 0-8728 – -8304: 0-8304 – -7881: 0-7881 – -7457: 0-7457 – -7033: 0-7033 – -6610: 0-6610 – -6186: 0-6186 – -5762: 0-5762 – -5339: 0-5339 – -4915: 0-4915 – -4491: 0-4491 – -4068: 0-4068 – -3644: 0-3644 – -3220: 0-3220 – -2797: 0-2797 – -2373: 0-2373 – -1949: 0-1949 – -1526: 0-1526 – -1102: 0-1102 – -678.4: 0-678.4 – -254.8: 0-254.8 – 168.9: 209-10,000-5,00005,000
n / missing302 / 92
Mean ± SD2.792 ± 694
Median44.62
Range-9,999 – 168.9
CV248
Skew / kurtosis-14 / 2.1e+02
Normal?no

Narea

target · numeric
Narea distribution0100200300-9,999 – -9582: 1-9582 – -9165: 0-9165 – -8749: 0-8749 – -8332: 0-8332 – -7915: 0-7915 – -7498: 0-7498 – -7081: 0-7081 – -6664: 0-6664 – -6248: 0-6248 – -5831: 0-5831 – -5414: 0-5414 – -4997: 0-4997 – -4580: 0-4580 – -4164: 0-4164 – -3747: 0-3747 – -3330: 0-3330 – -2913: 0-2913 – -2496: 0-2496 – -2080: 0-2080 – -1663: 0-1663 – -1246: 0-1246 – -829.1: 0-829.1 – -412.2: 0-412.2 – 4.57: 209-10,000-5,00005,000
n / missing302 / 92
Mean ± SD-45.63 ± 690
Median1.965
Range-9,999 – 4.57
CV15.1
Skew / kurtosis-14 / 2.1e+02
Normal?no
Constant metadata 18
  • ecosis_resource_id2f70d9da-e48b-4772-8b50-a371a4a58b48
  • coordinate_precision_notessource-provided coordinates when available
  • year2,019
  • plant_partLeaf
  • canopy_or_leafleaf
  • instrumentSpectra Vista Corporation, Spectral Evolution HR-1024i, PSR Plus
  • acquisition_modeContact
  • signal_typereflectance
  • axis_unitnm
  • axis_min350
  • axis_max2,500
  • n_points_original2,151
  • publication_doi10.15486/ngt/1495202 | 10.15486/ngt/1495204
  • citationShawn Serbin Ran Meng Jin Wu Kim Ely. 2019. NGEE Tropics GLiHT Puerto Rico Campaign Leaf Spectral Reflectance and Transmittance March 2017. Data set. Available on-line [http://ecosis.org] from the Ecological Spectral Information System (EcoSIS). http://dx.doi.org/10.15486/ngt/1495204
  • licenseOpen Data Commons Attribution License
  • rights_statusexplicit_open
  • usage_scopepublic_reuse_possible
  • notesEcoSIS package ngee-tropics-gliht-puerto-rico-campaign-leaf-spectral-reflectance-and-transmittance-march-2017, no interpolation applied by project.

9 variable(s) omitted (no recorded values).

Alignment

Alignment levelobservation
Sample id availableyes
Samples302
Observations (total)357
Reps per samplemin 1 · mean 1.182 · max 2

Provenance & citation

ContributorNGEE Tropics GLiHT Puerto Rico Campaign Leaf Spectral Reflectance and Transmittance March 2017
Origin · url [open]https://data.ecosis.org/dataset/ngee-tropics-gliht-puerto-rico-campaign-leaf-spectral-reflectance-and-transmittance-march-2017
Origin · script [manual]source_to_standard.py — standardization script (maintainer-only)
Publication10.15486/ngt/1495204 — G-LiHT Campaign Leaf Spectral Reflectance and Transmittance, Mar2017: Puerto Rico
Publication10.15486/ngt/1495202 — G-LiHT Campaign Leaf Mass Area and Water Content, Mar2017: Puerto Rico

Governance & integrity

Tierpublic
LicenseODC-By-1.0
Permitted useResearch and benchmarking.
Access policyOpen per source license.
RedistributionEcoSIS CKAN metadata exposes an open license.
Content version1.0.0
Schema / protocol2.0
Content hash54fc6f9930878cab…
Processing hash44e7bd0309bfedcf…
Metadata hash631f47d66b446837…

Load this dataset

# pip install nirs4all-datasets
from nirs4all_datasets import get

ds = get("ecosis_ngee_tropics_gliht_puerto_rico_campaign_leaf_spectral_r_reflectance_nirs")            # DOI-pinned, checksum-verified, cached
X, y = ds.x(), ds.y()
print(X.shape, y.shape)
card.jsoncroissant.jsonIdentity metadata only — the dataset bytes live at the origin / DOI.