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ossl neospectra mir soil all y

ossl · NIR

ossl neospectra mir soil all y. v2.0 standardized NIRS package: 1 spectral source(s), 23 declared target(s). Auto-generated from dataset_card.json (verify before publication).

nirv2ossl
🔒
Private dataset. Full metadata and metrics are shown, but the bytes are not redistributed here — exporting the data requires a Dataverse token. The identity card carries no spectra, only descriptive statistics.
1,976
samples
1,701
wavelengths
1
sources
23
targets
31
metadata
NIR
family

Dataset property explorer

Mean profile risk0.52
Highest axisArtefacts locaux · 1.00
Diagnostics8
Sources profiled1
ossl neospectra mir soil all y property profile0.250.50.751integritynoiseartefactsbaselinePCA outliersreferencerepeatabilitystructureossl neospectra mir soil all y profileintegrity: 0.00noise: 0.00artefacts: 1.00baseline: 1.00PCA outliers: 0.49reference: 1.00repeatability: 0.00structure: 0.70ossl neospectra…0 center · 1 outer ring · outward = stronger anomaly / heterogeneity signal

Profile axes

Intégrité0.00
Artefacts locaux1.00
Bruit0.00
Outliers PCA0.49
Distance à la référence1.00
Répétabilité0.00
Baseline / forme1.00
Structure multi-régimes0.70
Diagnostic hypotheses00.250.50.751hypothesis scoreSplice / raccord détecteursSplice / raccord détecteurs: 0.840.84Erreur calibration / référenc…Erreur calibration / référence blanche: 0.730.73Fond différentFond différent: 0.660.66Erreur interpolation / réécha…Erreur interpolation / rééchantillonnage: 0.630.63Signature VERA25-likeSignature VERA25-like: 0.620.62Différence de sonde / géométr…Différence de sonde / géométrie: 0.570.57Mélange feuille + fondMélange feuille + fond: 0.490.49Dataset multi-régimesDataset multi-régimes: 0.490.49
DiagnosticScoreForceSignauxInterprétation probable
Splice / raccord détecteursX0.84forteSpike rate 1.00, Jump rate 1.00, RMS/SAM référence 1.00Rupture aux jonctions de détecteurs, calibration locale ou sonde différente.
Erreur calibration / référence blancheX0.73forteBaseline/mean/area 1.00, RMS/SAM référence 1.00, artefacts locaux 1.00Décalage systématique entre campagnes, instruments ou référence blanche.
Fond différentX0.66moyenneBaseline/mean/area 1.00, RMS/SAM référence 1.00, Mahalanobis / T2 0.49Effet systématique du support, blanc/noir, transflectance ou environnement de mesure.
Erreur interpolation / rééchantillonnageX0.63moyenneSpike rate 1.00, Jump rate 1.00, SNR normal/élevé 1.00Artefacts numériques ou traitement spectral incorrect.
Signature VERA25-likeX0.62moyenneSpike rate 1.00, Jump rate 1.00, RMS/SAM référence 1.00Combinaison possible changement de sonde + splice, amplifiée par géométrie, fond ou calibration.
Différence de sonde / géométrieX0.57moyenneBaseline/mean/area 1.00, RMS/SAM référence 1.00, Mahalanobis / T2 0.49Modification de l'illumination, collecte, angle ou distance sonde-échantillon.
Mélange feuille + fondX0.49moyenneBaseline/mean/area 1.00, RMS/SAM référence 1.00, Mahalanobis / T2 0.49Couverture partielle du spot; contribution du fond ou du support.
Dataset multi-régimesX0.49moyenneRMS/SAM référence 1.00, Structure PCA 0.70, Mahalanobis / T2 0.49Mélange de campagnes, opérateurs, lots, setups ou sous-populations spectrales.

Spectral sources

recovered_spectra

X · NIR · unknown
recovered_spectra spectra0.00.51.01.52.001,0002,0003,0004,000q05-q95 envelopeq25-q75 envelopemedian spectrummedianq25–q75q05–q95wavelength / none600none — median 1.545 (q25–q75 1.445–1.651)624none — median 1.601 (q25–q75 1.48–1.721)648none — median 1.563 (q25–q75 1.436–1.696)674none — median 1.529 (q25–q75 1.395–1.665)698none — median 1.674 (q25–q75 1.585–1.772)722none — median 1.479 (q25–q75 1.363–1.602)746none — median 1.435 (q25–q75 1.318–1.557)772none — median 1.425 (q25–q75 1.33–1.534)796none — median 1.466 (q25–q75 1.366–1.571)820none — median 1.613 (q25–q75 1.53–1.7)844none — median 1.369 (q25–q75 1.273–1.473)870none — median 1.291 (q25–q75 1.188–1.402)894none — median 1.269 (q25–q75 1.162–1.378)918none — median 1.307 (q25–q75 1.191–1.419)942none — median 1.275 (q25–q75 1.168–1.384)966none — median 1.257 (q25–q75 1.156–1.357)992none — median 1.245 (q25–q75 1.15–1.337)1,016none — median 1.209 (q25–q75 1.117–1.302)1,040none — median 1.148 (q25–q75 1.055–1.237)1,064none — median 1.033 (q25–q75 0.9241–1.146)1,090none — median 0.9575 (q25–q75 0.836–1.093)1,114none — median 0.9917 (q25–q75 0.8662–1.133)1,138none — median 0.9962 (q25–q75 0.8712–1.134)1,162none — median 1.074 (q25–q75 0.9623–1.201)1,188none — median 0.9865 (q25–q75 0.8695–1.121)1,212none — median 0.9359 (q25–q75 0.8196–1.068)1,236none — median 1.073 (q25–q75 0.9642–1.21)1,260none — median 1.343 (q25–q75 1.239–1.447)1,284none — median 1.518 (q25–q75 1.429–1.604)1,310none — median 1.593 (q25–q75 1.487–1.678)1,334none — median 1.611 (q25–q75 1.497–1.711)1,358none — median 1.605 (q25–q75 1.487–1.712)1,382none — median 1.582 (q25–q75 1.471–1.684)1,408none — median 1.545 (q25–q75 1.451–1.637)1,432none — median 1.514 (q25–q75 1.423–1.597)1,456none — median 1.453 (q25–q75 1.365–1.54)1,480none — median 1.4 (q25–q75 1.321–1.496)1,506none — median 1.363 (q25–q75 1.28–1.447)1,530none — median 1.369 (q25–q75 1.279–1.455)1,554none — median 1.3 (q25–q75 1.208–1.392)1,578none — median 1.358 (q25–q75 1.27–1.448)1,602none — median 1.462 (q25–q75 1.377–1.551)1,628none — median 1.489 (q25–q75 1.396–1.595)1,652none — median 1.432 (q25–q75 1.326–1.548)1,676none — median 1.377 (q25–q75 1.282–1.479)1,700none — median 1.23 (q25–q75 1.15–1.318)1,726none — median 1.084 (q25–q75 1.006–1.167)1,750none — median 0.9807 (q25–q75 0.9161–1.06)1,774none — median 0.9996 (q25–q75 0.937–1.078)1,798none — median 1.011 (q25–q75 0.9334–1.101)1,824none — median 0.9023 (q25–q75 0.8361–0.9797)1,848none — median 0.9123 (q25–q75 0.8412–0.993)1,872none — median 1.03 (q25–q75 0.9405–1.127)1,896none — median 0.9568 (q25–q75 0.8756–1.052)1,920none — median 0.807 (q25–q75 0.7374–0.8856)1,946none — median 0.7914 (q25–q75 0.7198–0.8741)1,970none — median 0.8012 (q25–q75 0.7252–0.8877)1,994none — median 0.799 (q25–q75 0.724–0.8893)2,018none — median 0.7231 (q25–q75 0.6538–0.8062)2,044none — median 0.6213 (q25–q75 0.5617–0.7026)2,068none — median 0.5615 (q25–q75 0.5006–0.6496)2,092none — median 0.5457 (q25–q75 0.4807–0.6324)2,116none — median 0.5345 (q25–q75 0.4679–0.6207)2,142none — median 0.5307 (q25–q75 0.4681–0.6193)2,166none — median 0.5091 (q25–q75 0.4427–0.5959)2,190none — median 0.4971 (q25–q75 0.4304–0.5838)2,214none — median 0.4997 (q25–q75 0.4347–0.5863)2,238none — median 0.5041 (q25–q75 0.4424–0.5901)2,264none — median 0.486 (q25–q75 0.4213–0.5701)2,288none — median 0.4676 (q25–q75 0.4001–0.553)2,312none — median 0.4488 (q25–q75 0.379–0.533)2,336none — median 0.4154 (q25–q75 0.3458–0.5013)2,362none — median 0.3739 (q25–q75 0.2945–0.4604)2,386none — median 0.4407 (q25–q75 0.3701–0.5253)2,410none — median 0.4364 (q25–q75 0.3645–0.5219)2,434none — median 0.433 (q25–q75 0.3608–0.5207)2,458none — median 0.4324 (q25–q75 0.3594–0.5206)2,484none — median 0.4404 (q25–q75 0.3657–0.5292)2,508none — median 0.4539 (q25–q75 0.3762–0.5544)2,532none — median 0.4526 (q25–q75 0.3742–0.5528)2,556none — median 0.4483 (q25–q75 0.3709–0.54)2,582none — median 0.4493 (q25–q75 0.3733–0.541)2,606none — median 0.4505 (q25–q75 0.3739–0.5417)2,630none — median 0.4526 (q25–q75 0.3755–0.5446)2,654none — median 0.4574 (q25–q75 0.3786–0.5482)2,680none — median 0.4667 (q25–q75 0.3879–0.5597)2,704none — median 0.4769 (q25–q75 0.3958–0.5707)2,728none — median 0.4884 (q25–q75 0.404–0.5834)2,752none — median 0.5005 (q25–q75 0.4152–0.5976)2,776none — median 0.515 (q25–q75 0.4269–0.6128)2,802none — median 0.5346 (q25–q75 0.4449–0.6314)2,826none — median 0.5578 (q25–q75 0.4636–0.6565)2,850none — median 0.6067 (q25–q75 0.5007–0.7096)2,874none — median 0.6183 (q25–q75 0.5152–0.7243)2,900none — median 0.6421 (q25–q75 0.5335–0.7482)2,924none — median 0.6778 (q25–q75 0.5612–0.7871)2,948none — median 0.6801 (q25–q75 0.5655–0.7909)2,972none — median 0.6891 (q25–q75 0.5753–0.7971)2,998none — median 0.6983 (q25–q75 0.5806–0.8075)3,022none — median 0.7177 (q25–q75 0.5967–0.8311)3,046none — median 0.7396 (q25–q75 0.6167–0.8571)3,070none — median 0.7663 (q25–q75 0.6389–0.8895)3,094none — median 0.793 (q25–q75 0.6575–0.9196)3,120none — median 0.8208 (q25–q75 0.6801–0.9511)3,144none — median 0.8515 (q25–q75 0.7091–0.9875)3,168none — median 0.8795 (q25–q75 0.7348–1.022)3,192none — median 0.9082 (q25–q75 0.7573–1.056)3,218none — median 0.9341 (q25–q75 0.7792–1.087)3,242none — median 0.9529 (q25–q75 0.7949–1.108)3,266none — median 0.9667 (q25–q75 0.8039–1.121)3,290none — median 0.9767 (q25–q75 0.8093–1.132)3,316none — median 0.9903 (q25–q75 0.821–1.147)3,340none — median 1.001 (q25–q75 0.8284–1.163)3,364none — median 1.014 (q25–q75 0.8393–1.179)3,388none — median 1.021 (q25–q75 0.8454–1.192)3,412none — median 1.02 (q25–q75 0.8465–1.193)3,438none — median 1.016 (q25–q75 0.8446–1.192)3,462none — median 1.003 (q25–q75 0.8361–1.179)3,486none — median 0.9872 (q25–q75 0.8237–1.158)3,510none — median 0.9727 (q25–q75 0.8125–1.143)3,536none — median 0.9643 (q25–q75 0.8036–1.134)3,560none — median 0.9628 (q25–q75 0.8057–1.132)3,584none — median 0.97 (q25–q75 0.8126–1.145)3,608none — median 1.006 (q25–q75 0.8461–1.179)3,634none — median 1.02 (q25–q75 0.8554–1.188)3,658none — median 0.8928 (q25–q75 0.7453–1.052)3,682none — median 0.7168 (q25–q75 0.5918–0.8586)3,706none — median 0.6049 (q25–q75 0.4956–0.7505)3,730none — median 0.367 (q25–q75 0.2893–0.4547)3,756none — median 0.3056 (q25–q75 0.2342–0.3874)3,780none — median 0.2835 (q25–q75 0.2125–0.3649)3,804none — median 0.267 (q25–q75 0.199–0.3467)3,828none — median 0.2616 (q25–q75 0.193–0.3433)3,854none — median 0.2452 (q25–q75 0.1786–0.318)3,878none — median 0.2518 (q25–q75 0.183–0.3314)3,902none — median 0.245 (q25–q75 0.1767–0.3226)3,926none — median 0.2477 (q25–q75 0.179–0.3287)3,952none — median 0.2457 (q25–q75 0.1776–0.3267)3,976none — median 0.2439 (q25–q75 0.1755–0.3253)4,000none — median 0.2403 (q25–q75 0.1725–0.3225)

Sampling

Wavelengths1,701
Axis range600–4,000 none
Mean spacing2 none
Griduniform
Observations1,976

Signal & quality

Value range-0.82 – 2.62
Mean range0.251 – 1.68
Mean level0.8918
Area3032
PTP1.434
Noise RMS0.00026628
SNR3.4e+03
SNR dB7e+01 dB
Dynamic range1.43
Smoothness0.003328
Saturated0.0%
X-outliers999

Integrity & artefacts

NaN ratio0.00%
Inf count0
Zero ratio0.00%
Spike count193,228
Spike rate5.76%
Jump count94,392
Jump rate2.81%
Clip fraction0.00%

Shape & reference

Baseline slope-0.94462
Curvature RMS0.0031816
D1 RMS0.007565
RMS to mean0.13632
RMS p950.31427
SAM to mean0.10167
SAM p950.21955
Affine offset p950.30729
Affine gain p95 Δ0.14355
Affine residual p950.17353
Xcorr lag p950

Outliers & repeatability

PCA Q p95/median3.8
Hotelling T2 p95/median3.8
Mahalanobis H p95/median1.9
Repeat groups0

Dimensionality (PCA)

Effective rank3
PCs → 95% var6
PCs → 99% var11
Top-10 cum. var98.8%
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_ratio2.98e-05%0.00faibleNormalExport, saturationcount(X == 0) / count(finite X)alert = min(1, zero_ratio / 0.05)
Amplitude globaleMean reflectanceamplitude.mean_reflectance0.891761.00fortValeur 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_curve30321.00fortValeur 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_peak1.43360.00faibleVariabilité forteSaturationmax(mean_spectrum) - min(mean_spectrum)alert increases when dynamic range is abnormally flat
Amplitude globaleVarianceamplitude.variance0.191630.00faibleNormal ou hétérogèneMauvais contactvar(X finite)alert increases when variance/dynamic range is abnormally flat
BruitNoise RMSnoise.noise_rms0.000266280.00faibleStableLampe, détecteurmedian MAD(second derivative) * 1.4826 / sqrt(6)alert = noise_rms / signal_scale, saturated at 5%
BruitSNRnoise.snr3355.20.00faibleBon signalAcquisitionmean(abs(X)) / noise_rmsalert decreases with SNR dB; >=40 dB is treated as low alert
BruitBandwise SNRnoise.bandwise_snr_min78.9060.00faibleZone 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_count193,2281.00fortArtefactsCosmic rays, splicecount robust outliers in second derivativealert follows spike_rate, saturated at 1%
Artefacts locauxSpike rateartefacts.spike_rate5.76%1.00fortSpectre suspectInterpolationspike_count / (n_samples * (n_features - 2))alert = min(1, spike_rate / 0.01)
Artefacts locauxJump countartefacts.jump_count94,3921.00fortRaccord détecteurSplicecount robust outliers in first derivativealert follows jump_rate, saturated at 1%
Artefacts locauxJump rateartefacts.jump_rate2.81%1.00fortProblème spectralCalibrationjump_count / (n_samples * (n_features - 1))alert = min(1, jump_rate / 0.01)
Artefacts locauxClip fractionartefacts.clip_fraction5.95e-05%0.00faibleNormalDétecteur saturéfraction of finite cells equal to repeated min/max extremaalert = min(1, clip_fraction / 0.01)
Forme spectraleBaseline slopeshape.baseline_slope-0.944621.00fortDériveÉclairementlinear slope of mean_spectrum over normalized axisalert = abs(slope / signal_scale), saturated at 0.5
Forme spectraleCurvature RMSshape.curvature_rms0.00318160.22faibleLisseFond, splicemedian RMS(second derivative per spectrum)alert = curvature_rms / signal_scale, saturated at 1%
Forme spectraleD1 RMSshape.d1_rms0.0075650.11faiblePlatBiologie ou artefactmedian RMS(first derivative per spectrum)alert = d1_rms / signal_scale, saturated at 5%
Outliers multivariésPCA Q (SPE)outliers.pca_q_ratio3.82240.48moyenSpectre atypiqueArtefact, mélangep95(Q/SPE residual) / median(Q/SPE residual)alert = min(1, pca_q_ratio / 8)
Outliers multivariésHotelling T²outliers.hotelling_t2_ratio3.78270.47moyenExtrême mais cohérentVariabilité naturellep95(Hotelling T2) / median(Hotelling T2)alert = min(1, hotelling_t2_ratio / 8)
Outliers multivariésMahalanobis Houtliers.mahalanobis_h_ratio1.94490.49moyenOutlier globalDomaine différentp95(sqrt(T2)) / median(sqrt(T2))alert = min(1, mahalanobis_h_ratio / 4)
Comparaison à référenceRMS to mean spectrumreference.rms_to_mean_spectrum_p950.314270.88fortSpectre 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_p950.219550.63moyenForme différenteFond, géométriep95 spectral angle to dataset mean spectrumalert = min(1, SAM_p95 / 0.35 rad)
RépétabilitéRMS intra-IDrepeatability.rms_intra_id—0.00faibleStablePositionnementmedian RMS distance to repeated-sample centroidalert = RMS_intra_ID / signal_scale, saturated at 10%
RépétabilitéSAM intra-IDrepeatability.sam_intra_id—0.00faibleStableAcquisitionmedian SAM to repeated-sample centroidalert = min(1, SAM_intra_ID / 0.15 rad)
RépétabilitéCV intra-IDrepeatability.cv_intra_id—0.00faibleStableOpérateurmedian within-ID band CValert = min(1, CV_intra_ID / 0.25)
Structure du datasetPCA score densitystructure.pca_score_density0.541770.70moyenSous-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_p952.09340.55moyenSpectre 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_p950.524670.70moyenSpectre atypiqueDiverses causesp95 IsolationForest anomaly score on PCA scoresalert follows structure complexity; raw score is implementation-dependent
X PCA score plot-40-200204060-10-5051015PC1 -7.956 · PC2 -0.2725PC1 4.062 · PC2 -0.2061PC1 3.392 · PC2 3.294PC1 1.316 · PC2 2.715PC1 3.19 · PC2 -0.02447PC1 5.213 · PC2 -0.09712PC1 2.98 · PC2 0.6055PC1 -4.834 · PC2 1.808PC1 -0.8391 · PC2 1.317PC1 0.0896 · PC2 -0.8086PC1 1.345 · PC2 -0.4397PC1 3.15 · PC2 -1.213PC1 1.597 · PC2 0.4529PC1 9.797 · PC2 -2.696PC1 -5.42 · PC2 2.044PC1 6.45 · PC2 -1.332PC1 5.566 · PC2 -0.4911PC1 1.674 · PC2 -2.281PC1 -0.9036 · PC2 -0.04668PC1 -0.7418 · PC2 0.1741PC1 -10.01 · PC2 1.516PC1 -5.463 · PC2 -3.339PC1 -14.26 · PC2 0.6846PC1 11.57 · PC2 -5.858PC1 2.628 · PC2 -4.645PC1 9.618 · PC2 -4.885PC1 5.767 · PC2 -4.679PC1 9.126 · PC2 -4.858PC1 1.092 · PC2 -8.195PC1 -4.716 · PC2 -6.762PC1 -2.545 · PC2 -7.472PC1 -7.304 · PC2 -6.266PC1 -5.163 · PC2 -8.272PC1 -6.299 · PC2 0.4353PC1 -6.33 · PC2 0.8117PC1 4.836 · PC2 0.8939PC1 1.58 · PC2 1.938PC1 5.005 · PC2 2.269PC1 7.763 · PC2 0.655PC1 1.211 · PC2 1.334PC1 0.9945 · PC2 1.468PC1 1.789 · PC2 0.9461PC1 3.398 · PC2 4.93PC1 18.05 · PC2 5.746PC1 4.109 · PC2 2.705PC1 -1.171 · PC2 1.618PC1 -7.745 · PC2 -2.549PC1 3.293 · PC2 0.9084PC1 1.215 · PC2 -0.9395PC1 5.116 · PC2 -2.455PC1 2.28 · PC2 3.288PC1 5.46 · PC2 -2.468PC1 -4.935 · PC2 -1.964PC1 0.3531 · PC2 -2.251PC1 6.145 · PC2 -3.667PC1 2.364 · PC2 2.361PC1 -1.034 · PC2 2.042PC1 0.6391 · PC2 -2.533PC1 0.4137 · PC2 -3.634PC1 -7.395 · PC2 0.02521PC1 -4.543 · PC2 1.096PC1 -2.509 · PC2 1.679PC1 2.266 · PC2 4.251PC1 -4.173 · PC2 3.932PC1 -1.577 · PC2 1.55PC1 -4.645 · PC2 2.227PC1 -8.322 · PC2 1.508PC1 1.336 · PC2 1.833PC1 -1.795 · PC2 1.712PC1 -5.431 · PC2 2.001PC1 -0.2597 · PC2 1.265PC1 6.015 · PC2 0.01751PC1 7.868 · PC2 -4.055PC1 12.31 · PC2 -6.164PC1 12.51 · PC2 -5.552PC1 10.85 · PC2 -6.272PC1 6.049 · PC2 -4.422PC1 5.43 · PC2 -5.185PC1 6.793 · PC2 -6.247PC1 9.415 · PC2 -3.287PC1 4.181 · PC2 -4.116PC1 6.183 · PC2 -3.337PC1 3.82 · PC2 -5.837PC1 -1.916 · PC2 2.255PC1 -0.8366 · PC2 6.182PC1 2.893 · PC2 -2.162PC1 3.122 · PC2 -0.807PC1 4.62 · PC2 -0.3197PC1 7.382 · PC2 -1.867PC1 7.575 · PC2 -0.8917PC1 0.339 · PC2 -3.558PC1 -5.31 · PC2 1.457PC1 -1.15 · PC2 -1.232PC1 -1.468 · PC2 -0.8513PC1 -0.7336 · PC2 -0.3656PC1 -4.521 · PC2 2.32PC1 2.119 · PC2 -5.067PC1 3.975 · PC2 -5.101PC1 2.411 · PC2 -5.077PC1 2.017 · PC2 -5.346PC1 0.2427 · PC2 -4.928PC1 2.736 · PC2 -5.022PC1 4.571 · PC2 -3.72PC1 3.243 · PC2 -4.215PC1 4.807 · PC2 -3.354PC1 1.145 · PC2 -4.616PC1 2.476 · PC2 -4.682PC1 0.04415 · PC2 -4.421PC1 0.6998 · PC2 -4.559PC1 1.34 · PC2 -4.005PC1 3.038 · PC2 -3.537PC1 3.389 · PC2 -2.765PC1 4.681 · PC2 -4.768PC1 2.6 · PC2 -4.286PC1 4.452 · PC2 -3.813PC1 -0.1762 · PC2 -4.346PC1 1.835 · PC2 -2.659PC1 -0.5963 · PC2 -4.928PC1 3.519 · PC2 -3.797PC1 1.273 · PC2 0.7116PC1 2.806 · PC2 1.479PC1 9.675 · PC2 4.546PC1 -6.089 · PC2 0.3519PC1 0.08515 · PC2 -0.3056PC1 0.9634 · PC2 -3.163PC1 3.98 · PC2 -4.254PC1 -8.48 · PC2 1.446PC1 0.7054 · PC2 -1.725PC1 -1.147 · PC2 -1.783PC1 -3.607 · PC2 2.606PC1 -12.36 · PC2 -1.051PC1 3.91 · PC2 0.979PC1 -10.41 · PC2 -0.7944PC1 -0.1809 · PC2 0.4863PC1 1.625 · PC2 1.634PC1 -2.163 · PC2 -0.1708PC1 5.227 · PC2 0.4484PC1 -1.021 · PC2 0.2985PC1 -13.36 · PC2 -3.533PC1 2.155 · PC2 -0.4828PC1 -6.495 · PC2 -0.5629PC1 -7.286 · PC2 -1.505PC1 -0.1723 · PC2 -1.821PC1 -11.74 · PC2 -0.5014PC1 -6.778 · PC2 1.379PC1 -6.376 · PC2 0.5937PC1 -7.181 · PC2 3.967PC1 2.667 · PC2 -6.337PC1 -3.519 · PC2 -0.3177PC1 1.041 · PC2 0.02149PC1 -8.667 · PC2 2.597PC1 -3.727 · PC2 -2.169PC1 -3.351 · PC2 -1.847PC1 -3.81 · PC2 -0.5482PC1 -1.305 · PC2 -1.052PC1 -5.448 · PC2 -0.6228PC1 2.275 · PC2 -1.137PC1 -0.9534 · PC2 1.768PC1 -1.789 · PC2 2.05PC1 -6.093 · PC2 -0.1581PC1 -4.696 · PC2 -0.1115PC1 1.921 · PC2 0.6249PC1 2.866 · PC2 0.08574PC1 -1.081 · PC2 -1.634PC1 -1.839 · PC2 0.6347PC1 -13.27 · PC2 -4.021PC1 -15.66 · PC2 -3.924PC1 -14.76 · PC2 1.533PC1 -10.19 · PC2 0.9176PC1 -11.36 · PC2 0.31PC1 -1.215 · PC2 -1.191PC1 -6.115 · PC2 -2.65PC1 -2.193 · PC2 -2.53PC1 -1.404 · PC2 -3.074PC1 -5.362 · PC2 -0.7139PC1 -2.034 · PC2 -1.132PC1 -4.865 · PC2 -0.7471PC1 -28.64 · PC2 -1.169PC1 3.176 · PC2 1.675PC1 11.51 · PC2 3.351PC1 -8.113 · PC2 -0.0118PC1 -6.133 · PC2 -3.182PC1 -2.818 · PC2 -1.641PC1 -9.298 · PC2 -0.5137PC1 -12.11 · PC2 0.2785PC1 -1.735 · PC2 1.174PC1 0.3649 · PC2 1.228PC1 -15.32 · PC2 4.181PC1 -9.993 · PC2 -1.233PC1 -8.462 · PC2 2.972PC1 -7.186 · PC2 -2.989PC1 -2.451 · PC2 -2.161PC1 -1.099 · PC2 -0.2383PC1 -7.813 · PC2 -1.725PC1 2.546 · PC2 1.24PC1 -4.233 · PC2 -1.752PC1 -11.55 · PC2 0.2671PC1 -10.49 · PC2 1.446PC1 -4.791 · PC2 -1.058PC1 -8.48 · PC2 0.4211PC1 -2.95 · PC2 0.3097PC1 -2.355 · PC2 0.5941PC1 -6.906 · PC2 1.148PC1 -7.576 · PC2 -1.762PC1 -4.17 · PC2 -2.168PC1 -3.527 · PC2 0.2671PC1 -4.127 · PC2 1.264PC1 -5.277 · PC2 3.018PC1 -4.921 · PC2 1.638PC1 -0.06832 · PC2 3.118PC1 -3.079 · PC2 -2.019PC1 5.077 · PC2 -2.35PC1 4.462 · PC2 4.256PC1 12.91 · PC2 6.722PC1 5.312 · PC2 5.19PC1 10.35 · PC2 6.256PC1 17.79 · PC2 7.411PC1 -1.3 · PC2 1.766PC1 17.42 · PC2 5.463PC1 14.68 · PC2 4.86PC1 2.524 · PC2 0.1368PC1 -2.127 · PC2 2.681PC1 34.51 · PC2 10.08PC1 46.18 · PC2 11.39PC1 39.83 · PC2 9.842PC1 41.35 · PC2 11.37PC1 -2.434 · PC2 1.979PC1 -3.492 · PC2 2.343PC1 -1.293 · PC2 1.006PC1 0.4475 · PC2 1.197PC1 0.5609 · PC2 1.381PC1 3.05 · PC2 3.18PC1 -5.915 · PC2 2.404PC1 1.342 · PC2 1.368PC1 2.971 · PC2 1.418PC1 5.525 · PC2 0.9872PC1 -2.345 · PC2 2.505PC1 -2.372 · PC2 2.471PC1 -0.8094 · PC2 3.757PC1 -4.356 · PC2 3.005PC1 -7.741 · PC2 2.821PC1 -6.789 · PC2 3.203PC1 -9.457 · PC2 -1.44PC1 -5.669 · PC2 1.095PC1 -4.286 · PC2 -0.8069PC1 -5.848 · PC2 -0.2119PC1 -7.234 · PC2 1.127PC1 -9.334 · PC2 0.2472PC1 -5.649 · PC2 1.336PC1 -5.625 · PC2 1.569PC1 -6.284 · PC2 0.3893PC1 -1.062 · PC2 -1.129PC1 -6.167 · PC2 2.05PC1 -4.393 · PC2 -1.308PC1 -6.98 · PC2 -1.176PC1 -7.635 · PC2 -1.079PC1 -7.887 · PC2 -0.3039PC1 -9.454 · PC2 0.18PC1 -3.299 · PC2 -1.391PC1 -6.45 · PC2 -1.09PC1 -7.787 · PC2 1.979PC1 -8.536 · PC2 1.938PC1 -8.955 · PC2 1.025PC1 -8.379 · PC2 1.473PC1 -6.484 · PC2 1.992PC1 -4.245 · PC2 2.796PC1 4.586 · PC2 2.238PC1 -1.831 · PC2 -1.724PC1 -9.123 · PC2 2.335PC1 3.766 · PC2 3.119PC1 -0.9565 · PC2 1.726PC1 -5.554 · PC2 2.795PC1 -15.87 · PC2 1.633PC1 -13.71 · PC2 2.088PC1 -17.91 · PC2 4.441PC1 -10.44 · PC2 3.487PC1 4.531 · PC2 -4.1PC1 -7.588 · PC2 0.1988PC1 -0.7417 · PC2 -1.43PC1 -0.7042 · PC2 -1.208PC1 -2.752 · PC2 0.6972PC1 3.466 · PC2 -3.75PC1 6.534 · PC2 -4.538PC1 8.309 · PC2 -5.37PC1 1.483 · PC2 -3.447PC1 9.11 · PC2 -4.317PC1 -1.083 · PC2 -5.068PC1 9.52 · PC2 -6.89PC1 7.209 · PC2 -5.845PC1 0.196 · PC2 -3.6PC1 3.552 · PC2 -3.503PC1 3.672 · PC2 -3.838PC1 -3.122 · PC2 -5.107PC1 -7.803 · PC2 -4.13PC1 -12.18 · PC2 -3.914PC1 -7.535 · PC2 -2.55PC1 -6.571 · PC2 -2.279PC1 3.4 · PC2 -0.8313PC1 -7.66 · PC2 -2.39PC1 0.9514 · PC2 -1.537PC1 -3.757 · PC2 -0.5034PC1 3.135 · PC2 -4.203PC1 -8.256 · PC2 -3.218PC1 2.815 · PC2 -4.38PC1 1.648 · PC2 -3.492PC1 0.117 · PC2 -1.52PC1 -8.941 · PC2 2.348PC1 -3.061 · PC2 -0.8746PC1 -8 · PC2 5.966PC1 -4.71 · PC2 -0.9941PC1 -6.027 · PC2 2.859PC1 -7.713 · PC2 -0.3304PC1 1.141 · PC2 2.057PC1 -17.87 · PC2 -3.02PC1 -29.66 · PC2 -7.619PC1 -4.389 · PC2 -1.395PC1 -3.2 · PC2 -1.241PC1 -0.3769 · PC2 1.343PC1 0.7133 · PC2 -2.341PC1 -0.005961 · PC2 2.72PC1 -1.906 · PC2 -1.278PC1 -3.7 · PC2 2.099PC1 5.861 · PC2 -6.505PC1 -17.1 · PC2 -1.457PC1 -8.375 · PC2 0.2634PC1 -3.168 · PC2 0.5137PC1 -7.384 · PC2 4.894PC1 1.445 · PC2 1.871PC1 1.293 · PC2 2.914PC1 -0.4085 · PC2 3.525PC1 -11.53 · PC2 2.059PC1 0.5705 · PC2 2.311PC1 1.668 · PC2 0.5942PC1 -3.957 · PC2 2.981PC1 -4.296 · PC2 -2.657PC1 -1.591 · PC2 -1.622PC1 0.2514 · PC2 -2.032PC1 -0.6424 · PC2 -0.9473PC1 -2.852 · PC2 -2.322PC1 -1.622 · PC2 -0.06181PC1 0.9163 · PC2 -1.751PC1 -5.48 · PC2 -2.342PC1 -11.36 · PC2 0.002311PC1 -9.915 · PC2 0.6542PC1 -9.434 · PC2 0.8756PC1 -0.4378 · PC2 1.745PC1 3.32 · PC2 -0.6691PC1 0.2609 · PC2 1.654PC1 -0.9596 · PC2 -0.1604PC1 6.028 · PC2 -0.9939PC1 1.05 · PC2 -2.962PC1 -3.523 · PC2 -3.352PC1 2.299 · PC2 2.177PC1 -4.905 · PC2 4.651PC1 6.881 · PC2 3.689PC1 3.714 · PC2 -2.301PC1 5.259 · PC2 -2.582PC1 5.789 · PC2 -2.149PC1 0.4101 · PC2 1.554PC1 3.062 · PC2 0.6686PC1 5.231 · PC2 0.4354PC1 -0.02527 · PC2 2.418PC1 12.93 · PC2 5.788PC1 -7.401 · PC2 -0.1247PC1 -1.483 · PC2 1.731PC1 -2.294 · PC2 0.7599PC1 -6.361 · PC2 1.124PC1 -3.612 · PC2 1.688PC1 -4.366 · PC2 1.614PC1 -3.942 · PC2 1.495PC1 -8.255 · PC2 -0.5817PC1 -2.07 · PC2 -0.5496PC1 2.742 · PC2 -1.915PC1 -2.018 · PC2 -0.7716PC1 -7.664 · PC2 1.298PC1 -25.72 · PC2 -2.55PC1 -15.45 · PC2 -0.1239PC1 -8.106 · PC2 -2.227PC1 -9.424 · PC2 -1.797PC1 -4.712 · PC2 -0.3054PC1 0.8172 · PC2 -0.8406PC1 1.302 · PC2 1.012PC1 2.809 · PC2 0.07493PC1 3.058 · PC2 -0.6345PC1 1.731 · PC2 -1.369PC1 0.09843 · PC2 -6.995PC1 -8.296 · PC2 -5.724PC1 0.9842 · PC2 2.408PC1 -4.319 · PC2 2.581PC1 -3.263 · PC2 0.6843PC1 2.523 · PC2 -3.916PC1 -9.082 · PC2 0.8367PC1 -3.147 · PC2 -1.686PC1 1.854 · PC2 0.5074PC1 0.8878 · PC2 0.262PC1 2.337 · PC2 0.7802PC1 1.227 · PC2 0.1691PC1 0.8404 · PC2 0.3573PC1 0.03255 · PC2 0.003377PC1 0.9539 · PC2 0.27PC1 1.888 · PC2 -0.1473PC1 2.693 · PC2 0.262PC1 1.953 · PC2 0.5375PC1 -0.01403 · PC2 0.1177PC1 2.196 · PC2 1.386PC1 9.044 · PC2 3.76PC1 4.992 · PC2 -0.3926PC1 5.105 · PC2 3.163PC1 0.849 · PC2 0.4981PC1 0.4428 · PC2 0.8421PC1 4.818 · PC2 -0.8952PC1 9.565 · PC2 -2.618PC1 7.336 · PC2 -3.65PC1 6.237 · PC2 -4.569PC1 2.303 · PC2 2.343PC1 -3.361 · PC2 0.74PC1 -0.06217 · PC2 2.796PC1 10.31 · PC2 -4.558PC1 -4.236 · PC2 3.247PC1 11.9 · PC2 -8.21PC1 -1.273 · PC2 2.63PC1 -6.523 · PC2 2.919PC1 -2.615 · PC2 2.945PC1 -3.547 · PC2 3.729PC1 6.054 · PC2 -2.024PC1 -3.332 · PC2 -1.453PC1 1.363 · PC2 1.593PC1 8.608 · PC2 -0.6516PC1 -6.264 · PC2 1.322PC1 6.576 · PC2 -2.253PC1 9.751 · PC2 -4.501PC1 8.059 · PC2 -3.864PC1 3.16 · PC2 0.4516PC1 1.71 · PC2 -0.002068PC1 4.785 · PC2 0.7128PC1 -2.084 · PC2 -0.9571PC1 -10.86 · PC2 0.5999PC1 -6.147 · PC2 4.192PC1 0.2463 · PC2 0.3657PC1 -4.199 · PC2 1.266PC1 8.098 · PC2 -3.574PC1 5.989 · PC2 -1.245PC1 2.17 · PC2 -1.458PC1 4.198 · PC2 -0.8359PC1 -8.068 · PC2 1.106PC1 -1.497 · PC2 0.06763PC1 -8.884 · PC2 0.1575PC1 5.041 · PC2 -2.335PC1 4.467 · PC2 0.5319PC1 2.812 · PC2 0.7319PC1 -0.143 · PC2 -0.1679PC1 -1.416 · PC2 0.1895PC1 0.2963 · PC2 0.5951PC1 9.86 · PC2 -6.516PC1 -4.567 · PC2 2.457PC1 -1.486 · PC2 3.099PC1 1.908 · PC2 5.504PC1 4.736 · PC2 2.821PC1 3.013 · PC2 -1.806PC1 2.52 · PC2 -1.548PC1 3.379 · PC2 -2.126PC1 -6.488 · PC2 -0.2681PC1 1.869 · PC2 -1.043PC1 -8.175 · PC2 -0.9642PC1 -1.976 · PC2 4.156PC1 2.513 · PC2 0.8629PC1 -0.4161 · PC2 0.1545PC1 0.0858 · PC2 -0.004628PC1 5.255 · PC2 0.8394PC1 0.05051 · PC2 3.308PC1 6.857 · PC2 -6.688PC1 10.02 · PC2 -6.086PC1 10.61 · PC2 -1.887PC1 5.503 · PC2 -2.99PC1 0.5261 · PC2 0.6266PC1 2.701 · PC2 1.315PC1 1.631 · PC2 2.106PC1 5.693 · PC2 -0.172PC1 -3.391 · PC2 -2.05PC1 -0.8903 · PC2 -1.632PC1 3.969 · PC2 -3.65PC1 1.523 · PC2 0.3266PC1 -2.289 · PC2 0.4721PC1 -0.7782 · PC2 0.6859PC1 -3.94 · PC2 0.9821PC1 -9.655 · PC2 -0.1616PC1 -5.02 · PC2 0.9969PC1 0.4241 · PC2 0.3072PC1 9.962 · PC2 -4.156PC1 1.068 · PC2 2.52PC1 -2.144 · PC2 2.321PC1 2.983 · PC2 5.298PC1 2.18 · PC2 4.103PC1 -5.027 · PC2 0.8876PC1 1.863 · PC2 3.585PC1 1.871 · PC2 0.3787PC1 4.197 · PC2 0.8108PC1 -1.476 · PC2 1.515PC1 -20.56 · PC2 -3.551PC1 -13.06 · PC2 -1.118PC1 0.4312 · PC2 1.716PC1 -10.25 · PC2 2.017PC1 0.8154 · PC2 0.9133PC1 5.461 · PC2 -0.1368PC1 5.789 · PC2 0.2462PC1 -2.92 · PC2 0.923PC1 -2.588 · PC2 1.315PC1 0.4981 · PC2 1.325PC1 -2.487 · PC2 1.181PC1 -2.51 · PC2 0.9567PC1 -2.716 · PC2 1.239PC1 -0.8864 · PC2 0.9931PC1 -1.699 · PC2 1.026PC1 1.308 · PC2 -0.0677PC1 1.722 · PC2 0.1946PC1 0.407 · PC2 0.7848PC1 -0.2786 · PC2 1.297PC1 0.5245 · PC2 0.3333PC1 0.4979 · PC2 0.1293PC1 0.272 · PC2 0.1572PC1 -8.273 · PC2 3.77PC1 3.753 · PC2 3.952PC1 -0.8636 · PC2 1.753PC1 -2.599 · PC2 2.545PC1 -2.794 · PC2 0.8128PC1 -2.282 · PC2 3.395PC1 0.1966 · PC2 3.564PC1 2.067 · PC2 1.723PC1 2.763 · PC2 1.275PC1 -0.4316 · PC2 3.565PC1 10.56 · PC2 -5.539PC1 2.676 · PC2 0.8642PC1 1.751 · PC2 1.759PC1 -0.3518 · PC2 1.807PC1 -0.1475 · PC2 0.03215PC1 1.809 · PC2 -0.5782PC1 0.5038 · PC2 0.269PC1 5.052 · PC2 0.928PC1 -1.958 · PC2 0.7692PC1 -3.725 · PC2 0.7896PC1 -1.374 · PC2 0.3923PC1 -3.286 · PC2 1.283PC1 7.226 · PC2 2.732PC1 3.194 · PC2 1.367PC1 1.128 · PC2 -0.09959PC1 3.998 · PC2 0.468PC1 4.354 · PC2 0.05465PC1 7.538 · PC2 0.3359PC1 -4.466 · PC2 1.717PC1 -6.946 · PC2 2.081PC1 -5.377 · PC2 2.274PC1 -2.501 · PC2 3.983PC1 5.657 · PC2 -0.5119PC1 4.326 · PC2 2.083PC1 7.034 · PC2 1.088PC1 10.12 · PC2 -1.001PC1 8.252 · PC2 -0.3075PC1 4.165 · PC2 -1.158PC1 -0.4528 · PC2 0.7265PC1 5.341 · PC2 -0.5037PC1 2.817 · PC2 0.4901PC1 0.41 · PC2 0.1819PC1 -0.4482 · PC2 3.571PC1 3.599 · PC2 0.5833PC1 5.25 · PC2 -0.9789PC1 -1.777 · PC2 0.9623PC1 3.054 · PC2 0.4571PC1 -2.586 · PC2 2.977PC1 -4.334 · PC2 1.55PC1 -0.7477 · PC2 3.107PC1 -0.9567 · PC2 0.9955PC1 0.325 · PC2 1.41PC1 -2.242 · PC2 0.7515PC1 -4.602 · PC2 -2.644PC1 -9.667 · PC2 -3.682PC1 2.915 · PC2 -2.517PC1 12.71 · PC2 -1.004PC1 12.43 · PC2 -0.6806PC1 4.038 · PC2 -1.92PC1 3.144 · PC2 -1.497PC1 8.289 · PC2 -0.6101PC1 3.422 · PC2 -1.245PC1 0.2148 · PC2 1.898PC1 0.3339 · PC2 0.3244PC1 -1.937 · PC2 1.407PC1 0.4991 · PC2 0.2593PC1 2.302 · PC2 -0.02471PC1 3.695 · PC2 1.421PC1 0.6058 · PC2 -0.791PC1 -3.134 · PC2 2.254PC1 -0.779 · PC2 -2.937PC1 -3.416 · PC2 -1.005PC1 1.617 · PC2 1.995PC1 5.796 · PC2 0.003927PC1 7.202 · PC2 0.8854PC1 -0.8265 · PC2 2.391PC1 2.468 · PC2 -0.01034PC1 0.5204 · PC2 0.3284PC1 3.424 · PC2 0.1594PC1 2.557 · PC2 3.638PC1 -1.744 · PC2 2.845PC1 6.468 · PC2 3.613PC1 1.302 · PC2 0.3042PC1 5.411 · PC2 -0.3855PC1 3.275 · PC2 -0.07723PC1 -1.063 · PC2 1.272PC1 4.926 · PC2 1.523PC1 -3.827 · PC2 3.509PC1 -7.067 · PC2 1.254PC1 0.7027 · PC2 -0.1637PC1 -2.346 · PC2 0.06472PC1 5.411 · PC2 -6.519PC1 9.076 · PC2 -5.382PC1 5.938 · PC2 -2.626PC1 4.782 · PC2 -4.84PC1 -0.5335 · PC2 -0.721PC1 0.8902 · PC2 -0.4347PC1 0.7762 · PC2 -0.6647PC1 -2.266 · PC2 -0.01805PC1 -4.95 · PC2 0.3042PC1 0.8879 · PC2 0.2277PC1 -0.6261 · PC2 0.7635PC1 9.255 · PC2 -0.2374PC1 1.767 · PC2 1.28PC1 -13.09 · PC2 -2.918PC1 -8.127 · PC2 2.215PC1 -11.54 · PC2 3.234PC1 2.834 · PC2 0.3989PC1 7.503 · PC2 1.13PC1 -0.5947 · PC2 -0.8363PC1 -2.7 · PC2 0.6376PC1 11.88 · PC2 -5.165PC1 4.625 · PC2 -3.781PC1 9.678 · PC2 -3.841PC1 4.361 · PC2 0.2779PC1 3.078 · PC2 -1.671PC1 10.86 · PC2 -3.743PC1 8.66 · PC2 -1.993PC1 -1.384 · PC2 -0.7133PC1 -5.821 · PC2 -0.3049PC1 -0.7099 · PC2 -0.7806PC1 6.608 · PC2 2.549PC1 1.725 · PC2 -2.817PC1 6.808 · PC2 -2.966PC1 3.631 · PC2 -2.224PC1 9.978 · PC2 -3.102PC1 9.571 · PC2 -3.525PC1 11.09 · PC2 -3.783PC1 11.13 · PC2 -4.632PC1 7.575 · PC2 -3.013PC1 3.325 · PC2 -2.86PC1 6.69 · PC2 -2.623PC1 -2.94 · PC2 1.172PC1 -3.588 · PC2 1.949PC1 -5.905 · PC2 2.459PC1 -5.289 · PC2 0.2805PC1 0.5359 · PC2 -0.6608PC1 -6.526 · PC2 0.9484PC1 -2.527 · PC2 -0.2405PC1 -3.755 · PC2 -0.1522PC1 -1.028 · PC2 2.062PC1 -3.746 · PC2 3.563PC1 -1.007 · PC2 3.696PC1 -3.213 · PC2 1.669PC1 9.743 · PC2 -1.923PC1 -9.084 · PC2 1.521PC1 -4.539 · PC2 3.338PC1 4.499 · PC2 2.778PC1 1.98 · PC2 2.557PC1 3.636 · PC2 0.02739PC1 1.044 · PC2 -1.44PC1 -1.832 · PC2 2.797PC1 3.208 · PC2 1.212PC1 -1.515 · PC2 -0.1894PC1 -2.929 · PC2 -2.476PC1 5.329 · PC2 -0.7972PC1 7.745 · PC2 3.746PC1 -0.1805 · PC2 -0.1701PC1 8.065 · PC2 4.392PC1 -3.694 · PC2 -0.2012PC1 5.611 · PC2 3.093PC1 -5.247 · PC2 4.899PC1 0.8468 · PC2 1.02PC1 -1.077 · PC2 0.4207PC1 2.233 · PC2 -0.4974PC1 -3.815 · PC2 1.304PC1 -2.009 · PC2 3.564PC1 -3.538 · PC2 4.578PC1 10.38 · PC2 5.933PC1 9.534 · PC2 5.983PC1 -6.653 · PC2 1.67PC1 1.408 · PC2 -2.494PC1 5.75 · PC2 -1.918PC1 7.067 · PC2 -1.451PC1 -9.017 · PC2 1.215PC1 -6.704 · PC2 2.066PC1 4.082 · PC2 -0.8796PC1 -1.435 · PC2 -0.3935PC1 8.513 · PC2 2.58PC1 2.854 · PC2 1.067PC1 -10.97 · PC2 3.228PC1 -0.4341 · PC2 4.697PC1 -0.3294 · PC2 2.157PC1 -2.647 · PC2 1.021PC1 -2.307 · PC2 2.358PC1 -0.8966 · PC2 2.79PC1 -2.638 · PC2 3.495PC1 -6.696 · PC2 4.32PC1 -1.693 · PC2 2.333PC1 -1.735 · PC2 3.153PC1 0.3879 · PC2 2.873PC1 -3.61 · PC2 -0.4888PC1 3.947 · PC2 0.6879PC1 3.647 · PC2 -0.3573PC1 5.232 · PC2 -0.0009998PC1 -0.9092 · PC2 -0.1842PC1 0.5684 · PC2 0.1546PC1 4.597 · PC2 1.143PC1 0.06704 · PC2 0.2245PC1 -0.2052 · PC2 1.164PC1 1.203 · PC2 -0.02078PC1 2.533 · PC2 -2.623PC1 0.2977 · PC2 -2.19PC1 -1.839 · PC2 -1.968PC1 3.976 · PC2 -0.102PC1 9.518 · PC2 2.25PC1 -1.016 · PC2 1.302PC1 -0.3356 · PC2 4.464PC1 3.241 · PC2 -1.192PC1 3.675 · PC2 -3.209PC1 3.158 · PC2 -1.104PC1 2.578 · PC2 -3.527PC1 10.9 · PC2 -5.082PC1 -3.299 · PC2 -4.341PC1 0.349 · PC2 4.968PC1 5.127 · PC2 -2.555PC1 11.58 · PC2 -5.025PC1 5.323 · PC2 -4.914PC1 4.681 · PC2 -3.541PC1 3.373 · PC2 -3.011PC1 5.397 · PC2 0.1374PC1 -3.957 · PC2 1.194PC1 -2.574 · PC2 1.435PC1 -6.238 · PC2 -0.5507PC1 -5.564 · PC2 1.997PC1 1.743 · PC2 -0.3117PC1 -9.902 · PC2 0.9263PC1 -6.991 · PC2 0.3609PC1 3.844 · PC2 2.804PC1 8.543 · PC2 1.283PC1 3.202 · PC2 1.568PC1 1.897 · PC2 1.446PC1 5.115 · PC2 2.102PC1 7.013 · PC2 1.668PC1 0.7363 · PC2 0.8988PC1 4.12 · PC2 -0.04287PC1 4.378 · PC2 0.9521PC1 5.727 · PC2 0.9563PC1 2.133 · PC2 0.8538PC1 0.699 · PC2 1.134PC1 -6.966 · PC2 1.699PC1 10.36 · PC2 3.484PC1 -5.283 · PC2 2.472PC1 4.444 · PC2 -0.3456PC1 3.398 · PC2 0.5845PC1 6.15 · PC2 0.04738PC1 -1.79 · PC2 3.437PC1 3.244 · PC2 2.335PC1 -5.696 · PC2 1.179PC1 -4.606 · PC2 -0.09542PC1 -1.385 · PC2 -0.8207PC1 5.433 · PC2 0.7716PC1 -1.938 · PC2 1.695PC1 1.718 · PC2 -0.3349PC1 3.772 · PC2 1.55PC1 5.567 · PC2 -0.1793PC1 6.123 · PC2 -0.9073PC1 0.471 · PC2 -0.0445PC1 1.646 · PC2 1.394PC1 0.243 · PC2 0.7513PC1 -2.055 · PC2 1.453PC1 6.667 · PC2 -0.3969PC1 3.217 · PC2 0.5371PC1 -0.1405 · PC2 0.08237PC1 -1.039 · PC2 0.1052PC1 -0.5615 · PC2 -0.4543PC1 1.605 · PC2 3.008PC1 2.277 · PC2 0.9056PC1 -5.324 · PC2 2.101PC1 3.776 · PC2 -0.1362PC1 -6.632 · PC2 0.3384PC1 6.622 · PC2 -0.03639PC1 -5.988 · PC2 2.077PC1 8.222 · PC2 0.9806PC1 0.3976 · PC2 0.3036PC1 4.111 · PC2 -0.6103PC1 -2.325 · PC2 2.017PC1 0.8111 · PC2 1.566PC1 -0.5959 · PC2 1.304PC1 -0.4547 · PC2 1.754PC1 (72.7%)PC2 (12.3%)800 scores
PCA explained variance0%25%50%75%100%PC1: 73.0% (cumulative 73.0%)1PC2: 11.6% (cumulative 84.6%)2PC3: 4.1% (cumulative 88.7%)3PC4: 3.5% (cumulative 92.3%)4PC5: 2.5% (cumulative 94.7%)5PC6: 1.9% (cumulative 96.6%)6PC7: 0.9% (cumulative 97.6%)7PC8: 0.5% (cumulative 98.1%)8PC9: 0.4% (cumulative 98.5%)9PC10: 0.3% (cumulative 98.8%)10cumulative explained variancePC variancecumulativeprincipal component · cumulative (dashed)
X-Y spectral correlation 20
X · oc_usda_c729_w_pct spectral correlation-1-0.500.51absolute correlation envelopesigned correlationabsolute correlation01,0002,0003,0004,000|r|signed raxis · Pearson correlation scale
X · c_tot_usda_a622_w_pct spectral correlation-1-0.500.51absolute correlation envelopesigned correlationabsolute correlation01,0002,0003,0004,000|r|signed raxis · Pearson correlation scale
X · n_tot_usda_a623_w_pct spectral correlation-1-0.500.51absolute correlation envelopesigned correlationabsolute correlation01,0002,0003,0004,000|r|signed raxis · Pearson correlation scale
Targetmax |r|axis @ maxmean |r||r| ≥ .5
oc_usda_c729_w_pct0.4382,9200.1940.0%
c_tot_usda_a622_w_pct0.4172,9200.1930.0%
n_tot_usda_a623_w_pct0.3982,9200.1940.0%
s_tot_usda_a624_w_pct0.2442,2320.0790.0%
ph_h2o_usda_a268_index0.541,3580.1761.9%
bd_usda_a4_g_cm30.4821,2260.2650.0%
clay_tot_usda_a334_w_pct0.6993,6500.29421.7%
silt_tot_usda_c62_w_pct0.281,9020.130.0%
sand_tot_usda_c60_w_pct0.5383,6300.231.5%
caco3_usda_a54_w_pct0.7121,3020.1474.9%
cec_usda_a723_cmolc_kg0.5543,5680.34720.1%
ca_ext_usda_a722_cmolc_kg0.5051,3540.1350.8%
mg_ext_usda_a724_cmolc_kg0.3161,3600.1410.0%
k_ext_usda_a725_cmolc_kg0.3121,2220.1320.0%
na_ext_usda_a726_cmolc_kg0.1271,3740.03790.0%
wr_33kPa_usda_a415_w_pct0.5182,9400.35820.3%
wr_1500kPa_usda_a417_w_pct0.5661,1720.36423.6%
al_dith_usda_a65_w_pct0.5142,7900.2814.6%
p_ext_usda_a652_mg_kg0.1272,3600.04760.0%
p_ext_usda_a1070_mg_kg0.1973,6800.06540.0%

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 23

oc_usda_c729_w_pct

target · numeric
oc_usda_c729_w_pct distribution05001,0001,500-0.028 – 2.218: 13532.218 – 4.464: 4124.464 – 6.711: 1346.711 – 8.957: 518.957 – 11.2: 1611.2 – 13.45: 413.45 – 15.7: 015.7 – 17.94: 117.94 – 20.19: 020.19 – 22.43: 122.43 – 24.68: 024.68 – 26.93: 026.93 – 29.17: 029.17 – 31.42: 031.42 – 33.66: 033.66 – 35.91: 035.91 – 38.16: 138.16 – 40.4: 140.4 – 42.65: 042.65 – 44.9: 044.9 – 47.14: 047.14 – 49.39: 149.39 – 51.63: 051.63 – 53.88: 1-200204060
n / missing1,976 / 0
Mean ± SD2.068 ± 2.77
Median1.387
Range-0.028 – 53.88
CV1.34
Skew / kurtosis8.8 / 1.3e+02
Normal?no

c_tot_usda_a622_w_pct

target · numeric
c_tot_usda_a622_w_pct distribution05001,0001,5000.0161 – 2.26: 12562.26 – 4.505: 4684.505 – 6.749: 1636.749 – 8.993: 628.993 – 11.24: 1611.24 – 13.48: 513.48 – 15.73: 015.73 – 17.97: 117.97 – 20.21: 020.21 – 22.46: 122.46 – 24.7: 024.7 – 26.95: 026.95 – 29.19: 029.19 – 31.44: 031.44 – 33.68: 033.68 – 35.93: 035.93 – 38.17: 138.17 – 40.41: 140.41 – 42.66: 042.66 – 44.9: 044.9 – 47.15: 047.15 – 49.39: 149.39 – 51.64: 051.64 – 53.88: 10204060
n / missing1,976 / 0
Mean ± SD2.316 ± 2.82
Median1.615
Range0.0161 – 53.88
CV1.22
Skew / kurtosis8.2 / 1.2e+02
Normal?no

n_tot_usda_a623_w_pct

target · numeric
n_tot_usda_a623_w_pct distribution05001,0000 – 0.1258: 9660.1258 – 0.2516: 5980.2516 – 0.3775: 2500.3775 – 0.5033: 890.5033 – 0.6291: 440.6291 – 0.7549: 180.7549 – 0.8808: 40.8808 – 1.007: 11.007 – 1.132: 01.132 – 1.258: 11.258 – 1.384: 01.384 – 1.51: 01.51 – 1.636: 11.636 – 1.762: 01.762 – 1.887: 01.887 – 2.013: 02.013 – 2.139: 02.139 – 2.265: 02.265 – 2.391: 02.391 – 2.516: 02.516 – 2.642: 22.642 – 2.768: 02.768 – 2.894: 12.894 – 3.02: 101234
n / missing1,976 / 0
Mean ± SD0.1715 ± 0.184
Median0.1305
Range0 – 3.02
CV1.08
Skew / kurtosis6.5 / 81
Normal?no

s_tot_usda_a624_w_pct

target · numeric
s_tot_usda_a624_w_pct distribution01,0002,0000 – 0.7659: 19290.7659 – 1.532: 171.532 – 2.298: 72.298 – 3.063: 113.063 – 3.829: 13.829 – 4.595: 04.595 – 5.361: 05.361 – 6.127: 16.127 – 6.893: 06.893 – 7.659: 27.659 – 8.424: 08.424 – 9.19: 19.19 – 9.956: 09.956 – 10.72: 010.72 – 11.49: 111.49 – 12.25: 012.25 – 13.02: 113.02 – 13.79: 013.79 – 14.55: 014.55 – 15.32: 115.32 – 16.08: 016.08 – 16.85: 116.85 – 17.61: 017.61 – 18.38: 305101520
n / missing1,976 / 0
Mean ± SD0.1295 ± 1.03
Median0.01439
Range0 – 18.38
CV7.96
Skew / kurtosis14 / 2.2e+02
Normal?no

ph_h2o_usda_a268_index

target · numeric
ph_h2o_usda_a268_index distribution01002003.69 – 3.933: 23.933 – 4.176: 374.176 – 4.419: 754.419 – 4.662: 1084.662 – 4.905: 1064.905 – 5.147: 1245.147 – 5.39: 1285.39 – 5.633: 1325.633 – 5.876: 1275.876 – 6.119: 1236.119 – 6.362: 1166.362 – 6.605: 1006.605 – 6.848: 1026.848 – 7.091: 937.091 – 7.334: 847.334 – 7.577: 757.577 – 7.82: 1107.82 – 8.062: 1558.062 – 8.305: 928.305 – 8.548: 538.548 – 8.791: 228.791 – 9.034: 89.034 – 9.277: 19.277 – 9.52: 312510
n / missing1,976 / 0
Mean ± SD6.285 ± 1.27
Median6.17
Range3.69 – 9.52
CV0.202
Skew / kurtosis0.13 / -1.1
Normal?no

bd_usda_a4_g_cm3

target · numeric
bd_usda_a4_g_cm3 distribution0501001500.3004 – 0.3726: 10.3726 – 0.4448: 20.4448 – 0.517: 00.517 – 0.5892: 60.5892 – 0.6614: 30.6614 – 0.7336: 60.7336 – 0.8058: 120.8058 – 0.878: 190.878 – 0.9502: 230.9502 – 1.022: 391.022 – 1.095: 451.095 – 1.167: 661.167 – 1.239: 911.239 – 1.311: 1211.311 – 1.383: 1161.383 – 1.456: 1321.456 – 1.528: 1131.528 – 1.6: 631.6 – 1.672: 431.672 – 1.744: 201.744 – 1.817: 141.817 – 1.889: 31.889 – 1.961: 31.961 – 2.033: 10.00.51.01.52.02.5
n / missing1,976 / 1,034
Mean ± SD1.311 ± 0.24
Median1.335
Range0.3004 – 2.033
CV0.183
Skew / kurtosis-0.6 / 0.92
Normal?no

clay_tot_usda_a334_w_pct

target · numeric
clay_tot_usda_a334_w_pct distribution01002003000 – 3.207: 1803.207 – 6.414: 2026.414 – 9.621: 1629.621 – 12.83: 17612.83 – 16.04: 17516.04 – 19.24: 16419.24 – 22.45: 16922.45 – 25.66: 16125.66 – 28.86: 12828.86 – 32.07: 8832.07 – 35.28: 8735.28 – 38.48: 8038.48 – 41.69: 6341.69 – 44.9: 4144.9 – 48.11: 2948.11 – 51.31: 2451.31 – 54.52: 1654.52 – 57.73: 657.73 – 60.93: 760.93 – 64.14: 664.14 – 67.35: 567.35 – 70.56: 270.56 – 73.76: 273.76 – 76.97: 3020406080
n / missing1,976 / 0
Mean ± SD19.75 ± 13.8
Median17.84
Range0 – 76.97
CV0.697
Skew / kurtosis0.82 / 0.51
Normal?no

silt_tot_usda_c62_w_pct

target · numeric
silt_tot_usda_c62_w_pct distribution01002000 – 3.663: 423.663 – 7.325: 767.325 – 10.99: 8510.99 – 14.65: 9014.65 – 18.31: 9718.31 – 21.98: 8021.98 – 25.64: 11325.64 – 29.3: 9929.3 – 32.96: 12232.96 – 36.62: 12236.62 – 40.29: 16340.29 – 43.95: 12143.95 – 47.61: 11947.61 – 51.27: 12051.27 – 54.94: 10954.94 – 58.6: 7558.6 – 62.26: 8662.26 – 65.92: 6665.92 – 69.59: 4869.59 – 73.25: 4573.25 – 76.91: 3776.91 – 80.58: 2180.58 – 84.24: 2884.24 – 87.9: 120255075100
n / missing1,976 / 0
Mean ± SD38.2 ± 20.1
Median38.1
Range0 – 87.9
CV0.527
Skew / kurtosis0.17 / -0.69
Normal?no

sand_tot_usda_c60_w_pct

target · numeric
sand_tot_usda_c60_w_pct distribution01002000.3 – 4.454: 1784.454 – 8.608: 1148.608 – 12.76: 9412.76 – 16.92: 8916.92 – 21.07: 10221.07 – 25.23: 9125.23 – 29.38: 9229.38 – 33.53: 8133.53 – 37.69: 10337.69 – 41.84: 10441.84 – 46: 8746 – 50.15: 7950.15 – 54.3: 8954.3 – 58.46: 7758.46 – 62.61: 6262.61 – 66.77: 9066.77 – 70.92: 6870.92 – 75.08: 4775.08 – 79.23: 5779.23 – 83.38: 5483.38 – 87.54: 7287.54 – 91.69: 6691.69 – 95.85: 4995.85 – 100: 310255075100
n / missing1,976 / 0
Mean ± SD42.04 ± 28.1
Median39.2
Range0.3 – 100
CV0.668
Skew / kurtosis0.27 / -1.1
Normal?no

caco3_usda_a54_w_pct

target · numeric
caco3_usda_a54_w_pct distribution0200400600-0.5671 – 3.166: 4043.166 – 6.899: 936.899 – 10.63: 5110.63 – 14.37: 3514.37 – 18.1: 2818.1 – 21.83: 2021.83 – 25.57: 1825.57 – 29.3: 1029.3 – 33.03: 1333.03 – 36.77: 336.77 – 40.5: 240.5 – 44.23: 044.23 – 47.97: 047.97 – 51.7: 251.7 – 55.43: 255.43 – 59.16: 059.16 – 62.9: 062.9 – 66.63: 066.63 – 70.36: 170.36 – 74.1: 074.1 – 77.83: 077.83 – 81.56: 081.56 – 85.3: 085.3 – 89.03: 1-250255075100
n / missing1,976 / 1,293
Mean ± SD5.974 ± 9.53
Median1.756
Range-0.5671 – 89.03
CV1.59
Skew / kurtosis3 / 14
Normal?no

efferv_usda_a479_class

target · categorical
efferv_usda_a479_class classesnonenone: 1,4251,425very slightvery slight: 214214slightslight: 122122violentviolent: 119119strongstrong: 9393
n / missing1,976 / 3
Classes5
Balance (entropy)0.6
Imbalance ratio2e+01
Top classnone (1,425)

cec_usda_a723_cmolc_kg

target · numeric
cec_usda_a723_cmolc_kg distribution02004006000.134 – 8.05: 5038.05 – 15.97: 59815.97 – 23.88: 46723.88 – 31.8: 26131.8 – 39.71: 9339.71 – 47.63: 2647.63 – 55.54: 1655.54 – 63.46: 363.46 – 71.38: 271.38 – 79.29: 279.29 – 87.21: 087.21 – 95.12: 095.12 – 103: 1103 – 111: 0111 – 118.9: 1118.9 – 126.8: 0126.8 – 134.7: 0134.7 – 142.6: 0142.6 – 150.5: 0150.5 – 158.5: 2158.5 – 166.4: 0166.4 – 174.3: 0174.3 – 182.2: 0182.2 – 190.1: 1050100150200
n / missing1,976 / 0
Mean ± SD16.28 ± 12.2
Median14.4
Range0.134 – 190.1
CV0.748
Skew / kurtosis4 / 42
Normal?no

ca_ext_usda_a722_cmolc_kg

target · numeric
ca_ext_usda_a722_cmolc_kg distribution05001,0001,5000 – 15.15: 123015.15 – 30.3: 34830.3 – 45.46: 15345.46 – 60.61: 13960.61 – 75.76: 4075.76 – 90.91: 1790.91 – 106.1: 10106.1 – 121.2: 11121.2 – 136.4: 1136.4 – 151.5: 4151.5 – 166.7: 3166.7 – 181.8: 3181.8 – 197: 1197 – 212.1: 1212.1 – 227.3: 1227.3 – 242.4: 2242.4 – 257.6: 2257.6 – 272.7: 2272.7 – 287.9: 2287.9 – 303: 3303 – 318.2: 0318.2 – 333.3: 1333.3 – 348.5: 1348.5 – 363.6: 10100200300400
n / missing1,976 / 0
Mean ± SD20 ± 32.5
Median10.52
Range0 – 363.6
CV1.62
Skew / kurtosis5 / 35
Normal?no

mg_ext_usda_a724_cmolc_kg

target · numeric
mg_ext_usda_a724_cmolc_kg distribution05001,0001,5000 – 3.422: 13183.422 – 6.845: 4186.845 – 10.27: 14410.27 – 13.69: 4213.69 – 17.11: 2117.11 – 20.53: 1420.53 – 23.96: 823.96 – 27.38: 427.38 – 30.8: 030.8 – 34.22: 034.22 – 37.65: 337.65 – 41.07: 141.07 – 44.49: 044.49 – 47.91: 147.91 – 51.34: 051.34 – 54.76: 054.76 – 58.18: 158.18 – 61.6: 061.6 – 65.02: 065.02 – 68.45: 068.45 – 71.87: 071.87 – 75.29: 075.29 – 78.71: 078.71 – 82.14: 10255075100
n / missing1,976 / 0
Mean ± SD3.292 ± 4.58
Median2.015
Range0 – 82.14
CV1.39
Skew / kurtosis5.7 / 65
Normal?no

k_ext_usda_a725_cmolc_kg

target · numeric
k_ext_usda_a725_cmolc_kg distribution05001,0001,5000 – 0.4687: 11980.4687 – 0.9373: 4650.9373 – 1.406: 1601.406 – 1.875: 701.875 – 2.343: 332.343 – 2.812: 142.812 – 3.281: 153.281 – 3.749: 63.749 – 4.218: 24.218 – 4.687: 44.687 – 5.155: 25.155 – 5.624: 25.624 – 6.093: 06.093 – 6.561: 26.561 – 7.03: 07.03 – 7.499: 07.499 – 7.967: 07.967 – 8.436: 18.436 – 8.905: 18.905 – 9.373: 09.373 – 9.842: 09.842 – 10.31: 010.31 – 10.78: 010.78 – 11.25: 1051015
n / missing1,976 / 0
Mean ± SD0.5593 ± 0.737
Median0.3497
Range0 – 11.25
CV1.32
Skew / kurtosis4.9 / 43
Normal?no

na_ext_usda_a726_cmolc_kg

target · numeric
na_ext_usda_a726_cmolc_kg distribution01,0002,0000 – 8.457: 19408.457 – 16.91: 1716.91 – 25.37: 825.37 – 33.83: 233.83 – 42.28: 142.28 – 50.74: 050.74 – 59.2: 259.2 – 67.65: 067.65 – 76.11: 076.11 – 84.57: 084.57 – 93.03: 093.03 – 101.5: 0101.5 – 109.9: 1109.9 – 118.4: 0118.4 – 126.9: 1126.9 – 135.3: 2135.3 – 143.8: 0143.8 – 152.2: 1152.2 – 160.7: 0160.7 – 169.1: 0169.1 – 177.6: 0177.6 – 186.1: 0186.1 – 194.5: 0194.5 – 203: 10100200300
n / missing1,976 / 0
Mean ± SD0.9027 ± 8.33
Median0
Range0 – 203
CV9.22
Skew / kurtosis17 / 3.2e+02
Normal?no

wr_33kPa_usda_a415_w_pct

target · numeric
wr_33kPa_usda_a415_w_pct distribution020401.003 – 6.291: 206.291 – 11.58: 1611.58 – 16.87: 2316.87 – 22.15: 2622.15 – 27.44: 3327.44 – 32.73: 2432.73 – 38.02: 1638.02 – 43.3: 443.3 – 48.59: 348.59 – 53.88: 153.88 – 59.16: 159.16 – 64.45: 064.45 – 69.74: 069.74 – 75.03: 075.03 – 80.31: 080.31 – 85.6: 085.6 – 90.89: 090.89 – 96.18: 096.18 – 101.5: 0101.5 – 106.8: 0106.8 – 112: 0112 – 117.3: 0117.3 – 122.6: 0122.6 – 127.9: 1050100150
n / missing1,976 / 1,808
Mean ± SD22.09 ± 14
Median22.06
Range1.003 – 127.9
CV0.634
Skew / kurtosis2.6 / 18
Normal?no

wr_1500kPa_usda_a417_w_pct

target · numeric
wr_1500kPa_usda_a417_w_pct distribution02004006000.07669 – 4.079: 2714.079 – 8.082: 4148.082 – 12.08: 48412.08 – 16.09: 40216.09 – 20.09: 20320.09 – 24.09: 9724.09 – 28.1: 4428.1 – 32.1: 2032.1 – 36.1: 636.1 – 40.1: 540.1 – 44.11: 044.11 – 48.11: 048.11 – 52.11: 152.11 – 56.11: 056.11 – 60.12: 060.12 – 64.12: 064.12 – 68.12: 068.12 – 72.12: 172.12 – 76.13: 276.13 – 80.13: 080.13 – 84.13: 084.13 – 88.13: 088.13 – 92.14: 092.14 – 96.14: 10255075100
n / missing1,976 / 25
Mean ± SD11.31 ± 7.15
Median10.45
Range0.07669 – 96.14
CV0.633
Skew / kurtosis2.5 / 19
Normal?no

al_dith_usda_a65_w_pct

target · numeric
al_dith_usda_a65_w_pct distribution05001,0000 – 0.09519: 8640.09519 – 0.1904: 4990.1904 – 0.2856: 1630.2856 – 0.3808: 620.3808 – 0.476: 530.476 – 0.5712: 310.5712 – 0.6664: 160.6664 – 0.7616: 190.7616 – 0.8567: 180.8567 – 0.9519: 40.9519 – 1.047: 71.047 – 1.142: 81.142 – 1.238: 61.238 – 1.333: 81.333 – 1.428: 21.428 – 1.523: 51.523 – 1.618: 31.618 – 1.713: 21.713 – 1.809: 11.809 – 1.904: 01.904 – 1.999: 01.999 – 2.094: 02.094 – 2.189: 02.189 – 2.285: 20123
n / missing1,976 / 203
Mean ± SD0.1671 ± 0.245
Median0.09862
Range0 – 2.285
CV1.47
Skew / kurtosis3.6 / 17
Normal?no

p_ext_usda_a652_mg_kg

target · numeric
p_ext_usda_a652_mg_kg distribution02004006000 – 56.62: 59956.62 – 113.2: 64113.2 – 169.9: 17169.9 – 226.5: 11226.5 – 283.1: 4283.1 – 339.7: 4339.7 – 396.3: 2396.3 – 453: 1453 – 509.6: 2509.6 – 566.2: 2566.2 – 622.8: 1622.8 – 679.5: 0679.5 – 736.1: 0736.1 – 792.7: 0792.7 – 849.3: 0849.3 – 905.9: 0905.9 – 962.6: 0962.6 – 1019: 01019 – 1076: 01076 – 1132: 01132 – 1189: 01189 – 1246: 01246 – 1302: 01302 – 1359: 105001,0001,500
n / missing1,976 / 1,268
Mean ± SD35.96 ± 82.7
Median11.76
Range0 – 1359
CV2.3
Skew / kurtosis8.1 / 1e+02
Normal?no

p_ext_usda_a1070_mg_kg

target · numeric
p_ext_usda_a1070_mg_kg distribution01020300.3618 – 11.03: 2811.03 – 21.7: 1721.7 – 32.37: 1032.37 – 43.04: 743.04 – 53.71: 253.71 – 64.38: 664.38 – 75.05: 275.05 – 85.72: 185.72 – 96.39: 296.39 – 107.1: 0107.1 – 117.7: 0117.7 – 128.4: 0128.4 – 139.1: 0139.1 – 149.7: 0149.7 – 160.4: 0160.4 – 171.1: 0171.1 – 181.8: 0181.8 – 192.4: 0192.4 – 203.1: 0203.1 – 213.8: 0213.8 – 224.4: 0224.4 – 235.1: 0235.1 – 245.8: 0245.8 – 256.4: 10100200300
n / missing1,976 / 1,900
Mean ± SD27.26 ± 35
Median15.96
Range0.3618 – 256.4
CV1.29
Skew / kurtosis4.1 / 24
Normal?no

k_ext_usda_a1065_mg_kg

target · numeric
k_ext_usda_a1065_mg_kg distribution0510150 – 30.42: 430.42 – 60.85: 760.85 – 91.27: 1191.27 – 121.7: 6121.7 – 152.1: 11152.1 – 182.5: 5182.5 – 213: 6213 – 243.4: 4243.4 – 273.8: 7273.8 – 304.2: 3304.2 – 334.7: 3334.7 – 365.1: 2365.1 – 395.5: 2395.5 – 425.9: 1425.9 – 456.4: 1456.4 – 486.8: 1486.8 – 517.2: 0517.2 – 547.6: 0547.6 – 578.1: 0578.1 – 608.5: 1608.5 – 638.9: 0638.9 – 669.3: 0669.3 – 699.8: 0699.8 – 730.2: 10200400600800
n / missing1,976 / 1,900
Mean ± SD185.5 ± 137
Median147.4
Range0 – 730.2
CV0.738
Skew / kurtosis1.4 / 2.9
Normal?no

ec_usda_a364_ds_m

target · numeric
ec_usda_a364_ds_m distribution05001,0000.012 – 3.425: 9053.425 – 6.839: 216.839 – 10.25: 510.25 – 13.67: 213.67 – 17.08: 217.08 – 20.49: 020.49 – 23.91: 023.91 – 27.32: 127.32 – 30.73: 030.73 – 34.15: 034.15 – 37.56: 037.56 – 40.97: 040.97 – 44.39: 344.39 – 47.8: 047.8 – 51.21: 051.21 – 54.63: 054.63 – 58.04: 058.04 – 61.45: 161.45 – 64.87: 164.87 – 68.28: 068.28 – 71.69: 071.69 – 75.11: 075.11 – 78.52: 078.52 – 81.93: 10255075100
n / missing1,976 / 1,034
Mean ± SD1.012 ± 4.74
Median0.234
Range0.012 – 81.93
CV4.69
Skew / kurtosis12 / 1.6e+02
Normal?no

Metadata 8

ID_sample

metadata · categorical
n / missing1,976 / 0
Classes1,976
Balance (entropy)1
Imbalance ratio1
Top class100540 (1)

upper_depth_cm

metadata · numeric
upper_depth_cm distribution05001,0001,5000 – 8: 10788 – 16: 42516 – 24: 15924 – 32: 4532 – 40: 3640 – 48: 3148 – 56: 1956 – 64: 2764 – 72: 1872 – 80: 2380 – 88: 1688 – 96: 1896 – 104: 13104 – 112: 11112 – 120: 11120 – 128: 12128 – 136: 8136 – 144: 7144 – 152: 4152 – 160: 5160 – 168: 4168 – 176: 3176 – 184: 1184 – 192: 2050100150200
n / missing1,976 / 0
Mean ± SD16.05 ± 29.5
Median5
Range0 – 192
CV1.84
Skew / kurtosis2.9 / 8.8
Normal?no

lower_depth_cm

metadata · numeric
lower_depth_cm distribution02505007501 – 11.54: 44311.54 – 22.08: 69022.08 – 32.62: 48732.62 – 43.17: 4243.17 – 53.71: 3253.71 – 64.25: 5064.25 – 74.79: 3374.79 – 85.33: 2285.33 – 95.88: 1895.88 – 106.4: 30106.4 – 117: 17117 – 127.5: 21127.5 – 138: 21138 – 148.6: 7148.6 – 159.1: 11159.1 – 169.7: 10169.7 – 180.2: 15180.2 – 190.8: 5190.8 – 201.3: 11201.3 – 211.8: 6211.8 – 222.4: 1222.4 – 232.9: 1232.9 – 243.5: 1243.5 – 254: 20100200300
n / missing1,976 / 0
Mean ± SD31.62 ± 37.7
Median20
Range1 – 254
CV1.19
Skew / kurtosis2.8 / 8
Normal?no

texture_class

metadata · categorical
texture_class classesSilt loamSilt loam: 291291LoamLoam: 162162Silty clay loamSilty clay loam: 151151Sandy loamSandy loam: 7777Fine sandy loamFine sandy loam: 7171Clay loamClay loam: 6666SandSand: 6565Loamy sandLoamy sand: 5454Gravelly LoamGravelly Loam: 4444Sandy clay loamSandy clay loam: 4242+10 more+10 more: 198198
n / missing1,976 / 536
Classes136
Balance (entropy)0.67
Imbalance ratio291
Top classSilt loam (291)

pedon_taxa

metadata · categorical
pedon_taxa classesMixed, thermic Lamellic Ustip…Mixed, thermic Lamellic Ustipsamment: 5252Sandy, mixed, frigid Entic Ha…Sandy, mixed, frigid Entic Haplorthod: 3434Fine, smectitic, mesic Oxyaqu…Fine, smectitic, mesic Oxyaquic Vertic Argiudoll: 2727Mixed, mesic Typic UdipsammentMixed, mesic Typic Udipsamment: 2525Fine-loamy, mixed, superactiv…Fine-loamy, mixed, superactive, frigid Typic Argiustoll: 2424Fine, kaolinitic, thermic Typ…Fine, kaolinitic, thermic Typic Kanhapludult: 2424Fine-silty, mixed, active, me…Fine-silty, mixed, active, mesic Oxyaquic Fragiudalf: 2323Fine, smectitic, thermic Oxya…Fine, smectitic, thermic Oxyaquic Vertic Argiudoll: 1616Coarse-loamy, isotic, frigid …Coarse-loamy, isotic, frigid Aquic Haplorthod: 1515Sandy, mixed, mesic Typic End…Sandy, mixed, mesic Typic Endoaquod: 1414+10 more+10 more: 105105
n / missing1,976 / 184
Classes835
Balance (entropy)0.93
Imbalance ratio52
Top classMixed, thermic Lamellic Ustipsamment (52)

horizon_designation

metadata · categorical
horizon_designation classesAA: 396396ApAp: 247247A1A1: 101101EE: 9090Ap1Ap1: 8686Bt1Bt1: 7676A2A2: 7676Ap2Ap2: 5858Bs1Bs1: 5757Bw1Bw1: 4848+10 more+10 more: 247247
n / missing1,976 / 59
Classes219
Balance (entropy)0.67
Imbalance ratio396
Top classA (396)

raw_label

metadata · categorical
raw_label classes0.00.0: 151532.4991832.49918: 112.189692.18969: 1110.2007610.20076: 1122.8194322.81943: 1121.5681521.56815: 1125.4092325.40923: 1128.255528.2555: 1118.8395318.83953: 1134.4705434.47054: 11+10 more+10 more: 1010
n / missing1,976 / 0
Classes1,962
Balance (entropy)1
Imbalance ratio15
Top class0.0 (15)

reference_value

metadata · numeric
reference_value distribution01002003000 – 3.207: 1803.207 – 6.414: 2026.414 – 9.621: 1629.621 – 12.83: 17612.83 – 16.04: 17516.04 – 19.24: 16419.24 – 22.45: 16922.45 – 25.66: 16125.66 – 28.86: 12828.86 – 32.07: 8832.07 – 35.28: 8735.28 – 38.48: 8038.48 – 41.69: 6341.69 – 44.9: 4144.9 – 48.11: 2948.11 – 51.31: 2451.31 – 54.52: 1654.52 – 57.73: 657.73 – 60.93: 760.93 – 64.14: 664.14 – 67.35: 567.35 – 70.56: 270.56 – 73.76: 273.76 – 76.97: 3020406080
n / missing1,976 / 0
Mean ± SD19.75 ± 13.8
Median17.84
Range0 – 76.97
CV0.697
Skew / kurtosis0.82 / 0.51
Normal?no
Constant metadata 18
  • SpectralRep1
  • datasetNeospectra database v1.2
  • collection_nameneospectra_mir
  • dataset_codeNEOSPECTRA.MIR
  • dataset_titleNeospectra NIR soil spectral library
  • dataset_ownerUSDA-NRCS-NSSC-KSSL, WCRC, UNL, iSDA
  • dataset_slugNEOSPECTRA.MIR
  • task_typeregression
  • trait_headerclay_tot_usda_a334_w_pct
  • trait_header_originalclay.tot_usda.a334_w.pct
  • spectral_kindmir
  • scan_model_nameBruker Vertex 70 with HTS-XT accessory
  • scan_opticsKSSL SOPs
  • scan_preparationFinely ground <80 mesh
  • country_iso3166USA
  • feature_count_per_dimension1,701
  • dimensions1D
  • wavelength_noteneospectra_mir_600_4000_cm_minus_1_step_2

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

Alignment

Alignment levelobservation
Sample id availableno
Samples1,976
Observations (total)1,976
Reps per samplemin 1 · mean 1 · max 1

Splits

originalall: 1,976 documented · not applied

Provenance & citation

ContributorOSSL_NIRS
Origin · url [open]https://storage.googleapis.com/soilspec4gg-public/neospectra_mir_v1.2.csv.gz
Origin · url [open]https://storage.googleapis.com/soilspec4gg-public/neospectra_nir_v1.2.csv.gz
Origin · url [open]https://storage.googleapis.com/soilspec4gg-public/neospectra_soilsite_v1.2.csv.gz
Origin · url [open]https://storage.googleapis.com/soilspec4gg-public/neospectra_soillab_v1.2.csv.gz
Origin · script [manual]source_to_standard.py — standardization script (maintainer-only)

Governance & integrity

Tierprivate
LicenseLicenseRef-not-cleared
Permitted useResearch and benchmarking; private use only.
Access policyManual download / private-use-only per source.
RedistributionRecovered from local initial-source exports; rights not cleared for redistribution.
Content version1.0.0
Schema / protocol2.0
Content hash8582c0334a19189d…
Processing hash08487a69dd8d0dba…
Metadata hash054b7dbf78fe0681…

Load this dataset

# pip install nirs4all-datasets
from nirs4all_datasets import get

# private dataset — export requires a Dataverse token
ds = get("ossl_neospectra_mir_soil_all_y", token="…")
X, y = ds.x(), ds.y()
print(X.shape, y.shape)

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