/* DATA DESCRIPTION: Citation: d'Oliveira, Léa; Maignan, Adrien; Peyron, Odile; Joannin, Sébastien; Combourieu-Nebout, Nathalie; Genet, Marion; Lestienne, Marion; Dugerdil, Lucas; Fernandez, Giada; Giaccio, Biagio; Monaco, Lorenzo; Nomade, Sébastien; Pereira, Alison; Scao, Vincent; Regnier, Edouard; Balasse, Marie; Ménot, Guillemette (2026): Branched glycerol dialkyl glycerol tetraethers (brGDGTs) analysis of the Lago Grande di Monticchio (Italy) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.989981 Abstract: This dataset contains the concentration and relative abundance of branched glycerol dialkyl glycerol tetraethers (brGDGTs) components, along with Methylation of Branched Tetraethers (MBT'5Me), Cyclisation of Branched Tetraethers (CBT'), isomer ratio of 6-methyl branched glycerol dialkyl glycerol tetraethers (IR6Me) and Isoprenoid acyclic glycerol dialkyl glycerol tetraether/Crenarchaeol ratio (isoGDGT-0/Cren), for the sedimentary record of Lago Grande di Monticchio (Italy) covering the last 12,900 years. The analysis was performed by a double microwave extraction at 70°C with dichloromethane (DCM)-methanol (MeOH) mixture (3:1, v/v), filtered on a solid-phase extraction (SPE) cartridge and then separated into polar and apolar fractions on a silica column with a hexane-DCM (1:1, v/v) and DMC-MeOH (1:1, v/v) mixtures, respectively. Samples were then analysed by high-performance liquid chromatography with mass spectrometry (HPLC-MS) in hexane-propanol (98.2:0.2, v/v). Ions in selected ion monitoring (SIM) are detected for mass-to-change ratios according to Hopmans et al. (2016, doi: 10.1016/j.orggeochem.2015.12.006). The data table also contains the quantitative climate reconstructions inferred from brGDGTs (mean annual temperature and mean temperature of months above freezing) from four different calibrations (linear and multiple regression and Bayesian calibration; Martínez-Sosa and Tierney, 2019; Raberg et al. 2021; De Jonge et al. 2014; Bauersachs et al. 2024), and the pH reconstruction based on the calibration of Russel et al. (2018). Keyword(s): brGDGTs; Holocene; Italy; Paleoclimate reconstructions; Pollen Supplement to: d'Oliveira, Léa; Maignan, Adrien; Peyron, Odile; Joannin, Sébastien; Combourieu-Nebout, Nathalie; Genet, Marion; Lestienne, Marion; Dugerdil, Lucas; Fernandez, Giada; Giaccio, Biagio; Monaco, Lorenzo; Nomade, Sébastien; Pereira, Alison; Scao, Vincent; Regnier, Edouard; Balasse, Marie; Ménot, Guillemette (submitted): North–south Holocene seasonal contrast on the Italian peninsula: clarification of the latitudinal transition zone based on the multi-proxy study of Lago Grande di Monticchio. Quaternary Science Reviews References: Bauersachs, Thorsten; Schubert, Carsten J; Mayr, Christoph; Gilli, Adrian; Schwark, Lorenz (2024): Branched GDGT-based temperature calibrations from Central European lakes. Science of the Total Environment, 906, 167724, https://doi.org/10.1016/j.scitotenv.2023.167724 Blaga, Cornelia I; Reichart, Gert-Jan; Heiri, Oliver; Sinninghe Damsté, Jaap S (2009): Tetraether membrane lipid distributions in water-column particulate matter and sediments: a study of 47 European lakes along a north–south transect. Journal of Paleolimnology, 41(3), 523-540, https://doi.org/10.1007/s10933-008-9242-2 De Jonge, Cindy; Hopmans, Ellen C; Zell, Claudia; Kim, Jung-Hyun; Schouten, Stefan; Sinninghe Damsté, Jaap S (2014): Occurrence and abundance of 6-methyl branched glycerol dialkyl glycerol tetraethers in soils: Implications for palaeoclimate reconstruction. Geochimica et Cosmochimica Acta, 141, 97-112, https://doi.org/10.1016/j.gca.2014.06.013 De Jonge, Cindy; Stadnitskaia, Alina; Hopmans, Ellen C; Cherkashov, Georgy A; Fedotov, Andrey; Sinninghe Damsté, Jaap S (2014): In situ produced branched glycerol dialkyl glycerol tetraethers in suspended particulate matter from the Yenisei River, Eastern Siberia. Geochimica et Cosmochimica Acta, 125, 476-491, https://doi.org/10.1016/j.gca.2013.10.031 Hopmans, Ellen C; Schouten, Stefan; Sinninghe Damsté, Jaap S (2016): The effect of improved chromatography on GDGT-based palaeoproxies. Organic Geochemistry, 93, 1-6, https://doi.org/10.1016/j.orggeochem.2015.12.006 Martínez-Sosa, Pablo; Tierney, Jessica E (2019): Lacustrine brGDGT response to microcosm and mesocosm incubations. Organic Geochemistry, 127, 12-22, https://doi.org/10.1016/j.orggeochem.2018.10.011 Raberg, Jonathan H; Harning, David J; Crump, Sarah E; de Wet, Gregory A; Blumm, Aria; Kopf, Sebastian; Geirsdóttir, Áslaug; Miller, Gifford H; Sepúlveda, Julio (2021): Revised fractional abundances and warm-season temperatures substantially improve brGDGT calibrations in lake sediments. Biogeosciences, 18(12), 3579-3603, https://doi.org/10.5194/bg-18-3579-2021 Russell, James M; Hopmans, Ellen C; Loomis, Shannon E; Liang, Jie; Sinninghe Damsté, Jaap S (2018): Distributions of 5- and 6-methyl branched glycerol dialkyl glycerol tetraethers (brGDGTs) in East African lake sediment: Effects of temperature, pH, and new lacustrine paleotemperature calibrations. Organic Geochemistry, 117, 56-69, https://doi.org/10.1016/j.orggeochem.2017.12.003 Funding: Centre National de la Recherche Scientifique (CNRS) (URI: http://www.cnrs.fr/accueil.php), grant/award no. INSU, LEFE-IMAGO (2022-2024): Inter-Calibration 40Ar/39Ar et Radiocarbone en Europe entre 10 000 et 40 000 ans BP (URI: https://geops.geol.u-psud.fr/pds/2025/09/29/icares/) French National Research Agency (ANR) (URI: https://anr.fr/en), grant/award no. ANR-22-CE27-0011: AUTUMN-LAMBS (URI: https://autumnlambs.hypotheses.org/) Ministero dell'università e della ricerca, grant/award no. 2022MS9KWR: COMET Coverage: LATITUDE: 40.929600 * LONGITUDE: 15.605699 DATE/TIME START: 2023-05-31T10:47:00 * DATE/TIME END: 2023-05-31T10:47:00 MINIMUM DEPTH, sediment/rock: 0.000 m * MAXIMUM DEPTH, sediment/rock: 9.396 m Event(s): MONTI23-II * LATITUDE: 40.929600 * LONGITUDE: 15.605699 * DATE/TIME: 2023-05-31T10:47:00 * ELEVATION: 705.0 m * LOCATION: Lago Grande di Monticchio, Italy * METHOD/DEVICE: Drilling/coring * COMMENT: Further device information: U-USINGER 90 PLASTIQUE (EDY); U-NIDERREITER 90 (AFR) (EDY) Parameter(s): Sample ID (Sample ID) DEPTH, sediment/rock [m] (Depth sed) * GEOCODE Calendar age [ka BP] (Cal age) * PI: Maignan, Adrien (adrien.maignan@hotmail.fr) * METHOD/DEVICE: Age, tephra-chronostratigraphy * COMMENT: Geochemical analysis of tephra layers Branched glycerol dialkyl glycerol tetraether [µg/g] (brGDGT) * PI: d'Oliveira, Léa (https://orcid.org/0009-0001-9845-8102, lea.d-oliveira@umontpellier.fr) * METHOD/DEVICE: High Performance Liquid Chromatography - Mass spectrometry (HPLC-MS) 5-methyl branched glycerol dialkyl glycerol tetraether, IIIa, relative abundance (5ME brGDGT IIIa) * PI: d'Oliveira, Léa (https://orcid.org/0009-0001-9845-8102, lea.d-oliveira@umontpellier.fr) * METHOD/DEVICE: High Performance Liquid Chromatography - Mass spectrometry (HPLC-MS) 6-methyl branched glycerol dialkyl glycerol tetraether, IIIa, relative abundance (6ME brGDGT IIIa) * PI: d'Oliveira, Léa (https://orcid.org/0009-0001-9845-8102, lea.d-oliveira@umontpellier.fr) * METHOD/DEVICE: High Performance Liquid Chromatography - Mass spectrometry (HPLC-MS) 7-methyl branched glycerol dialkyl glycerol tetraether, IIIa, relative abundance (7ME brGDGT IIIa) * PI: d'Oliveira, Léa (https://orcid.org/0009-0001-9845-8102, lea.d-oliveira@umontpellier.fr) * METHOD/DEVICE: High Performance Liquid Chromatography - Mass spectrometry (HPLC-MS) 5-methyl branched glycerol dialkyl glycerol tetraether, IIIb, relative abundance (5ME brGDGT IIIb) * PI: d'Oliveira, Léa (https://orcid.org/0009-0001-9845-8102, lea.d-oliveira@umontpellier.fr) * METHOD/DEVICE: High Performance Liquid Chromatography - Mass spectrometry (HPLC-MS) 6-methyl branched glycerol dialkyl glycerol tetraether, IIIb, relative abundance (6ME brGDGT IIIb) * PI: d'Oliveira, Léa (https://orcid.org/0009-0001-9845-8102, lea.d-oliveira@umontpellier.fr) * METHOD/DEVICE: High Performance Liquid Chromatography - Mass spectrometry (HPLC-MS) 7-methyl branched glycerol dialkyl glycerol tetraether, IIIb, relative abundance (7ME brGDGT IIIb) * PI: d'Oliveira, Léa (https://orcid.org/0009-0001-9845-8102, lea.d-oliveira@umontpellier.fr) * METHOD/DEVICE: High Performance Liquid Chromatography - Mass spectrometry (HPLC-MS) 5-methyl branched glycerol dialkyl glycerol tetraether, IIIc, relative abundance (5ME brGDGT IIIc) * PI: d'Oliveira, Léa (https://orcid.org/0009-0001-9845-8102, lea.d-oliveira@umontpellier.fr) * METHOD/DEVICE: High Performance Liquid Chromatography - Mass spectrometry (HPLC-MS) 5-methyl branched glycerol dialkyl glycerol tetraether, IIa, relative abundance (5ME brGDGT IIa) * PI: d'Oliveira, Léa (https://orcid.org/0009-0001-9845-8102, lea.d-oliveira@umontpellier.fr) * METHOD/DEVICE: High Performance Liquid Chromatography - Mass spectrometry (HPLC-MS) 6-methyl branched glycerol dialkyl glycerol tetraether, IIa, relative abundance (6ME brGDGT IIa) * PI: d'Oliveira, Léa (https://orcid.org/0009-0001-9845-8102, lea.d-oliveira@umontpellier.fr) * METHOD/DEVICE: High Performance Liquid Chromatography - Mass spectrometry (HPLC-MS) 7-methyl branched glycerol dialkyl glycerol tetraether, IIa, relative abundance (7ME brGDGT IIa) * PI: d'Oliveira, Léa (https://orcid.org/0009-0001-9845-8102, lea.d-oliveira@umontpellier.fr) * METHOD/DEVICE: High Performance Liquid Chromatography - Mass spectrometry (HPLC-MS) 5-methyl branched glycerol dialkyl glycerol tetraether, IIb, relative abundance (5ME brGDGT IIb) * PI: d'Oliveira, Léa (https://orcid.org/0009-0001-9845-8102, lea.d-oliveira@umontpellier.fr) * METHOD/DEVICE: High Performance Liquid Chromatography - Mass spectrometry (HPLC-MS) 6-methyl branched glycerol dialkyl glycerol tetraether, IIb, relative abundance (6ME brGDGT IIb) * PI: d'Oliveira, Léa (https://orcid.org/0009-0001-9845-8102, lea.d-oliveira@umontpellier.fr) * METHOD/DEVICE: High Performance Liquid Chromatography - Mass spectrometry (HPLC-MS) 7-methyl branched glycerol dialkyl glycerol tetraether, IIb, relative abundance (7ME brGDGT IIb) * PI: d'Oliveira, Léa (https://orcid.org/0009-0001-9845-8102, lea.d-oliveira@umontpellier.fr) * METHOD/DEVICE: High Performance Liquid Chromatography - Mass spectrometry (HPLC-MS) 5-methyl branched glycerol dialkyl glycerol tetraether, IIc, relative abundance (5ME brGDGT IIc) * PI: d'Oliveira, Léa (https://orcid.org/0009-0001-9845-8102, lea.d-oliveira@umontpellier.fr) * METHOD/DEVICE: High Performance Liquid Chromatography - Mass spectrometry (HPLC-MS) 6-methyl branched glycerol dialkyl glycerol tetraether, IIc, relative abundance (6ME brGDGT IIc) * PI: d'Oliveira, Léa (https://orcid.org/0009-0001-9845-8102, lea.d-oliveira@umontpellier.fr) * METHOD/DEVICE: High Performance Liquid Chromatography - Mass spectrometry (HPLC-MS) 7-methyl branched glycerol dialkyl glycerol tetraether, IIc, relative abundance (7ME brGDGT IIc) * PI: d'Oliveira, Léa (https://orcid.org/0009-0001-9845-8102, lea.d-oliveira@umontpellier.fr) * METHOD/DEVICE: High Performance Liquid Chromatography - Mass spectrometry (HPLC-MS) 5-methyl branched glycerol dialkyl glycerol tetraether, Ia, relative abundance (5ME brGDGT Ia) * PI: d'Oliveira, Léa (https://orcid.org/0009-0001-9845-8102, lea.d-oliveira@umontpellier.fr) * METHOD/DEVICE: High Performance Liquid Chromatography - Mass spectrometry (HPLC-MS) 5-methyl branched glycerol dialkyl glycerol tetraether, Ib, relative abundance (5ME brGDGT Ib) * PI: d'Oliveira, Léa (https://orcid.org/0009-0001-9845-8102, lea.d-oliveira@umontpellier.fr) * METHOD/DEVICE: High Performance Liquid Chromatography - Mass spectrometry (HPLC-MS) 5-methyl branched glycerol dialkyl glycerol tetraether, Ic, relative abundance (5ME brGDGT Ic) * PI: d'Oliveira, Léa (https://orcid.org/0009-0001-9845-8102, lea.d-oliveira@umontpellier.fr) * METHOD/DEVICE: High Performance Liquid Chromatography - Mass spectrometry (HPLC-MS) Methylation index of 5-methyl branched tetraethers (MBT'5ME) * PI: d'Oliveira, Léa (https://orcid.org/0009-0001-9845-8102, lea.d-oliveira@umontpellier.fr) * METHOD/DEVICE: Calculated according to De Jonge et al. (2014a) (URI: https://doi.org/10.1016/j.gca.2013.10.031) Cyclization ratio of branched tetraethers prime (CBT') * PI: d'Oliveira, Léa (https://orcid.org/0009-0001-9845-8102, lea.d-oliveira@umontpellier.fr) * METHOD/DEVICE: Calculated according to De Jonge et al. (2014b) (URI: https://doi.org/10.1016/j.gca.2014.06.013) Isomer ratio of 6-methyl branched glycerol dialkyl glycerol tetraethers (IR6me) * PI: d'Oliveira, Léa (https://orcid.org/0009-0001-9845-8102, lea.d-oliveira@umontpellier.fr) * METHOD/DEVICE: Calculated according to De Jonge et al. (2014b) (URI: https://doi.org/10.1016/j.gca.2014.06.013) Isoprenoid acyclic glycerol dialkyl glycerol tetraether/Crenarchaeol ratio (iso GDGT-0/Cren) * PI: d'Oliveira, Léa (https://orcid.org/0009-0001-9845-8102, lea.d-oliveira@umontpellier.fr) * METHOD/DEVICE: Calculated according to Blaga et al. (2009) (URI: https://doi.org/10.1007/s10933-008-9242-2) Temperature, air, annual mean [°C] (MAAT) * PI: d'Oliveira, Léa (https://orcid.org/0009-0001-9845-8102, lea.d-oliveira@umontpellier.fr) * METHOD/DEVICE: Calculated according to De Jonge et al. (2014b) (URI: https://doi.org/10.1016/j.gca.2014.06.013) Temperature, air, mean of months, above freezing [°C] (MAF) * PI: d'Oliveira, Léa (https://orcid.org/0009-0001-9845-8102, lea.d-oliveira@umontpellier.fr) * METHOD/DEVICE: Calculated according to Bauersachs et al. (2024) (URI: https://doi.org/10.1016/j.scitotenv.2023.167724) * COMMENT: MBT'5Me-based calibration Temperature, air, mean of months, above freezing [°C] (MAF) * PI: d'Oliveira, Léa (https://orcid.org/0009-0001-9845-8102, lea.d-oliveira@umontpellier.fr) * METHOD/DEVICE: Calculated according to Raberg et al. (2021) (URI: https://doi.org/10.5194/bg-18-3579-2021) * COMMENT: mr-based calibration Temperature, air, mean of months, above freezing [°C] (MAF) * PI: d'Oliveira, Léa (https://orcid.org/0009-0001-9845-8102, lea.d-oliveira@umontpellier.fr) * METHOD/DEVICE: Calculated according to Martínez-Sosa and Tierney (2019) (URI: https://doi.org/10.1016/j.orggeochem.2018.10.011) * COMMENT: Bayesian-based calibration pH (pH) * PI: d'Oliveira, Léa (https://orcid.org/0009-0001-9845-8102, lea.d-oliveira@umontpellier.fr) * METHOD/DEVICE: Calculated according to Russel et al. (2018) (URI: https://doi.org/10.1016/j.orggeochem.2017.12.003) * COMMENT: CBT'-based calibration Change history: 2026-03-25T14:21:41 - "Calendar age" values were corrected on request of the author. License: Creative Commons Attribution 4.0 International (CC-BY-4.0) (URI: https://creativecommons.org/licenses/by/4.0/) Status: Curation Level: Enhanced curation (URI: https://wiki.pangaea.de/wiki/Curation_levels) Size: 3317 data points */ Sample ID Depth sed [m] Cal age [ka BP] (Geochemical analysis of tephr...) brGDGT [µg/g] (High Performance Liquid Chrom...) 5ME brGDGT IIIa (High Performance Liquid Chrom...) 6ME brGDGT IIIa (High Performance Liquid Chrom...) 7ME brGDGT IIIa (High Performance Liquid Chrom...) 5ME brGDGT IIIb (High Performance Liquid Chrom...) 6ME brGDGT IIIb (High Performance Liquid Chrom...) 7ME brGDGT IIIb (High Performance Liquid Chrom...) 5ME brGDGT IIIc (High Performance Liquid Chrom...) 5ME brGDGT IIa (High Performance Liquid Chrom...) 6ME brGDGT IIa (High Performance Liquid Chrom...) 7ME brGDGT IIa (High Performance Liquid Chrom...) 5ME brGDGT IIb (High Performance Liquid Chrom...) 6ME brGDGT IIb (High Performance Liquid Chrom...) 7ME brGDGT IIb (High Performance Liquid Chrom...) 5ME brGDGT IIc (High Performance Liquid Chrom...) 6ME brGDGT IIc (High Performance Liquid Chrom...) 7ME brGDGT IIc (High Performance Liquid Chrom...) 5ME brGDGT Ia (High Performance Liquid Chrom...) 5ME brGDGT Ib (High Performance Liquid Chrom...) 5ME brGDGT Ic (High Performance Liquid Chrom...) MBT'5ME (Calculated according to De Jo...) CBT' (Calculated according to De Jo...) IR6me (Calculated according to De Jo...) iso GDGT-0/Cren (Calculated according to Blaga...) MAAT [°C] (Calculated according to De Jo...) MAF [°C] (MBT'5Me-based calibration, Ca...) MAF [°C] (mr-based calibration, Calcula...) MAF [°C] (Bayesian-based calibration, C...) pH (CBT'-based calibration, Calcu...) MONT23_0 0.000 -0.072 13423236.390 0.102804071 0.092045048 0.028928317 0.012489522 0.008390025 0.002620316 0.001848451 0.175905198 0.140477488 0.044616282 0.104496225 0.033813453 0.005061764 0.013674115 0.001500966 0.000682608 0.139433217 0.068213479 0.022999456 0.367576663 -0.436836448 0.4016698568300 94.69148745 10.706835420 10.558899010 10.480099920 9.8660 7.792383414 MONT23_10 0.100 0.022 8094500.002 0.094329948 0.098029972 0.029551314 0.014650934 0.007979962 0.002882136 0.001841516 0.158397713 0.133255235 0.043342178 0.107826926 0.040274870 0.005704123 0.015428587 0.001743740 0.000533429 0.146529023 0.073914861 0.023783531 0.393781434 -0.424318627 0.4174840122954 98.86920743 11.556394090 10.968741630 11.261681440 10.7598 7.825555638 MONT23_20 0.200 0.117 13007726.860 0.107865990 0.118791879 0.038332509 0.015085337 0.012468871 0.002885792 0.002352811 0.158450978 0.130745926 0.043343220 0.096591809 0.031897829 0.004814157 0.015230916 0.000854118 0.000996875 0.131174841 0.069289568 0.018826573 0.367056783 -0.412784584 0.4269782018611 98.44686166 10.689980910 10.550768090 9.925095718 9.7719 7.856120853 MONT23_30 0.300 0.212 4701152.469 0.085499157 0.101134178 0.027039909 0.011422003 0.006803319 0.003166015 0.002269488 0.172845391 0.148514046 0.039980039 0.096142860 0.033016588 0.005494872 0.016131369 0.000911242 0.000630197 0.170555965 0.062760483 0.015682879 0.401859348 -0.436252376 0.4303895524936 186.75950730 11.818280050 11.095080200 11.811050830 11.0797 7.793931204 MONT23_40 0.400 0.307 11118664.570 0.080455856 0.100307040 0.030125674 0.011873829 0.007474743 0.003151700 0.003216293 0.147811894 0.127565093 0.047230487 0.093797521 0.026148021 0.006354391 0.017189045 0.000959674 0.001218706 0.131440979 0.146757533 0.016921522 0.465214323 -0.419268666 0.4255106887164 444.16313960 13.872248350 12.085952010 10.709715650 13.2505 7.838938034 MONT23_50 0.500 0.402 28329962.440 0.082067393 0.166638587 0.032579681 0.015013676 0.011119379 0.002721279 0.002764294 0.166317422 0.167156700 0.031530557 0.079744794 0.020905696 0.005750615 0.018872116 0.002064770 0.000362557 0.142694700 0.038172037 0.013523746 0.359056670 -0.340159665 0.5021192759782 290.05493040 10.430617250 10.425646320 11.101957270 9.7336 8.048576887 MONT23_60 0.600 0.498 20071687.200 0.088773038 0.105965198 0.030173175 0.012586168 0.008942565 0.003105998 0.003091109 0.156179733 0.127476441 0.049829221 0.118311732 0.036472078 0.006859812 0.020803105 0.001313619 0.001070688 0.137545069 0.070206615 0.021294634 0.373578723 -0.419339455 0.4120661992218 115.06361190 10.901422200 10.652771230 10.739485470 10.1819 7.838750444 MONT23_70 0.700 0.592 13838759.600 0.088112654 0.095079905 0.030839879 0.012091344 0.009374181 0.003110602 0.003459173 0.161087247 0.123934697 0.052645533 0.114693757 0.045443261 0.007488116 0.020034240 0.002586689 0.001237291 0.136203272 0.068103868 0.024474291 0.373393094 -0.430221817 0.4089656744422 63.39403236 10.895404090 10.649867980 10.834672200 9.8917 7.809912185 MONT23_80 0.800 0.685 8716915.028 0.076585381 0.099247667 0.030258714 0.010489444 0.011247452 0.002182471 0.002304769 0.176877326 0.120271762 0.044759051 0.101722324 0.048095508 0.005713311 0.014854213 0.002420558 0.001054678 0.150842574 0.077975822 0.023096972 0.405038186 -0.435657103 0.4235446450699 62.66539162 11.921337970 11.144797220 11.771057400 11.2027 7.795508677 MONT23_90 0.900 0.777 13483141.770 0.073688109 0.091262027 0.023020302 0.010702155 0.008173319 0.002860446 0.001989000 0.169409140 0.127690214 0.049494818 0.126239837 0.047595349 0.005112091 0.014604856 0.002340229 0.000913736 0.142236536 0.080409895 0.022257942 0.389450280 -0.429536925 0.4112565078268 132.03282120 11.415978080 10.901002380 11.629531200 10.7586 7.811727149 MONT23_100 1.000 0.866 8113021.123 0.081318619 0.088987239 0.021692415 0.008274730 0.007490489 0.001731473 0.001354308 0.178143061 0.136223076 0.045989746 0.108546075 0.046017534 0.004659604 0.011871237 0.001819861 0.000769881 0.157804033 0.079213105 0.018093513 0.401755610 -0.448897377 0.4186848406859 242.31023020 11.814916860 11.093457730 11.834158970 11.2056 7.760421951 MONT23_110 1.100 0.954 9013721.808 0.071547089 0.076368478 0.010961808 0.004674029 0.005322737 0.002485455 0.000355910 0.107901674 0.391724751 0.024446565 0.063048541 0.033273243 0.002267107 0.006050280 0.001307942 0.000334250 0.129379369 0.056832466 0.011718307 0.443314707 -0.222701093 0.6670352470666 335.28293780 13.162262800 11.743442020 12.663550010 12.3698 8.359842103 MONT23_120 1.200 1.039 4930392.467 0.088580562 0.110735968 0.019036463 0.005142182 0.006137785 0.001429899 0.000878702 0.159778294 0.172029131 0.029529799 0.073965524 0.044922315 0.003048367 0.008201963 0.001699014 0.000741527 0.181634932 0.077827177 0.014680395 0.453376265 -0.396868561 0.4992389087411 335.93519170 13.488458500 11.900804780 13.047448740 12.7557 7.898298312 MONT23_130 1.300 1.121 8183782.096 0.082682525 0.115960370 0.021096858 0.007404791 0.006351129 0.001777173 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12.588064910 11.466438470 12.963745590 11.7918 7.951277280 MONT23_220 2.200 1.761 9848242.636 0.071260909 0.079873432 0.022194421 0.006381681 0.006725518 0.001949160 0.000838538 0.158891210 0.144258823 0.038542635 0.094407076 0.046588418 0.003583920 0.008185724 0.002131476 0.000615325 0.201785201 0.093594412 0.018192120 0.485167343 -0.455414590 0.4512644875748 449.44939150 14.519125260 12.398017240 14.624620670 13.9371 7.743151336 MONT23_230 2.300 1.826 7542791.733 0.080375262 0.090947952 0.020873305 0.007123964 0.006794678 0.001749488 0.001046729 0.177511130 0.132075023 0.037492201 0.099073717 0.042200598 0.004693506 0.010667660 0.001875254 0.000540916 0.181527842 0.087258781 0.016171994 0.436660376 -0.463601384 0.4215744031428 331.53634070 12.946529390 11.639368280 12.829175130 12.1786 7.721456332 MONT23_240 2.400 1.890 5557905.899 0.075551839 0.088173401 0.018996081 0.006974300 0.006103783 0.001392619 0.000802596 0.173678664 0.143770814 0.039167109 0.099495766 0.046143608 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13.146441640 11.735809600 12.994114720 12.3153 7.476645443 MONT23_410 4.100 4.248 13327472.110 0.078723402 0.059345181 0.020132883 0.007378077 0.005799070 0.003564757 0.000098028 0.200059302 0.105645806 0.044023853 0.107361099 0.029678648 0.003635094 0.008291476 0.000995646 0.000954734 0.206197672 0.100576895 0.017538377 0.451219125 -0.576570268 0.3338953471059 329.49055400 13.418524020 11.867067110 13.611670940 12.5572 7.422088791 MONT23_420 4.200 4.501 21768317.590 0.090004972 0.085840077 0.021716422 0.005509108 0.003974647 0.001347767 0.000308014 0.167324092 0.154342539 0.054697423 0.083982263 0.043695427 0.003444778 0.006038970 0.001997741 0.000546817 0.183407995 0.078449304 0.013371646 0.442078578 -0.465105220 0.4507657620775 358.56029930 13.122187490 11.724108950 13.045071480 12.3830 7.717471167 MONT23_430 4.300 4.713 15860526.900 0.081428388 0.068786422 0.020426857 0.007476152 0.005509413 0.001348127 0.000370817 0.184079084 0.133359646 0.038328869 0.099639861 0.037226485 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0.000271241 0.000090102 0.216850049 0.195391378 0.031480312 0.018817922 0.026731733 0.006099709 0.001522047 0.000880326 0.000595987 0.186018148 0.049279646 0.003434045 0.408326267 -0.443335479 0.4973614964622 980.81882670 12.027937590 11.196222820 12.202862020 11.3792 7.775160981 MONT23_820.6 8.206 10.353 36154064.810 0.078385070 0.110992467 0.028269461 0.002885239 0.004233600 0.001580084 0.000385191 0.277348165 0.123939840 0.019983591 0.032643689 0.032094289 0.006735621 0.002491796 0.001267584 0.000610961 0.224264872 0.045706945 0.006181535 0.414009316 -0.544083579 0.4087915082247 546.45587190 12.212182010 11.285105700 13.028720920 11.5690 7.508178515 MONT23_830.6 8.306 10.551 24249753.300 0.080365081 0.100518442 0.028074654 0.003209691 0.005718182 0.002636231 0.000344464 0.263727829 0.135042270 0.021188460 0.052730709 0.030696911 0.013259235 0.003466570 0.001424394 0.000712939 0.204901999 0.044457046 0.007524893 0.390891740 -0.522735430 0.4036949446830 478.47467560 11.462710200 10.923546810 12.439260530 10.6654 7.564751110 MONT23_840.6 8.406 10.754 40883773.380 0.088134174 0.079260935 0.025602201 0.003006984 0.002919041 0.001834437 0.000292569 0.274140736 0.127548503 0.025839663 0.032820497 0.033370554 0.015896485 0.002892373 0.001188057 0.001101181 0.236716763 0.041329917 0.006104931 0.417305538 -0.598847822 0.3788699215589 546.15002680 12.319045540 11.336658610 12.630248480 11.4333 7.363053273 MONT23_850.6 8.506 10.964 26876668.480 0.067860819 0.100720391 0.024299644 0.003049422 0.003300758 0.003013535 0.000290886 0.223805569 0.103573015 0.022256752 0.045308276 0.058090544 0.029717019 0.004399818 0.002303700 0.001084049 0.256976420 0.041898401 0.008050984 0.473431542 -0.564459877 0.4373869892471 393.83008850 14.138650600 12.214469320 14.955712620 13.3827 7.454181326 MONT23_860.6 8.606 11.178 25815044.200 0.084815456 0.088769319 0.027728369 0.003721973 0.004525970 0.002791444 0.000100800 0.217780880 0.172334394 0.020455918 0.050452665 0.028231858 0.002965624 0.003836498 0.001172418 0.000486407 0.241993289 0.039847765 0.007988953 0.448156885 -0.492393043 0.4499236817057 357.46498510 13.319246220 11.819173690 14.040679760 12.4634 7.645158437 MONT23_867.6 8.676 11.331 13569212.440 0.081338897 0.094414955 0.021021738 0.004714048 0.006757818 0.002035587 0.000081953 0.218875925 0.124526270 0.021027529 0.055641432 0.034098837 0.016249788 0.004703284 0.005011056 0.003970800 0.181878865 0.101709867 0.021941348 0.458692151 -0.468516225 0.4202219360424 336.02102360 13.660799550 11.983945250 12.919917990 12.9744 7.708432004 MONT23_869.6 8.696 11.375 11909936.600 0.089167595 0.095025283 0.020549724 0.005411520 0.006142133 0.002133599 0.000066177 0.249655007 0.127316837 0.025457299 0.064135489 0.032824603 0.005546848 0.005668982 0.002011659 0.000575382 0.205209742 0.053094517 0.010007604 0.396360512 -0.528638588 0.3887078331862 252.80901750 11.640007800 11.009078410 12.142043090 10.6855 7.549107742 MONT23_879.6 8.796 11.597 16967713.520 0.110592682 0.098161634 0.029297947 0.005560556 0.005235879 0.002643445 0.000115809 0.266944728 0.142602836 0.019815630 0.049338649 0.018601992 0.005030444 0.003499980 0.001300806 0.000226793 0.202550011 0.031965595 0.006514584 0.358993080 -0.534983463 0.3788033973117 293.00545910 10.428555660 10.424651770 11.284507700 9.4397 7.532293822 MONT23_889.6 8.896 11.822 5522877.540 0.147227982 0.065535352 0.017204524 0.003997406 0.002575044 0.000602623 0.000070153 0.317993790 0.118159021 0.022143804 0.053535910 0.014436434 0.001814546 0.003814589 0.001261554 0.000233878 0.186317689 0.035037847 0.008037855 0.305058332 -0.650500987 0.2771965400264 341.48302090 8.679991118 9.581112310 9.449540423 7.8163 7.226172384 MONT23_897.6 8.976 12.002 9846948.067 0.152503186 0.072691885 0.016073776 0.004211634 0.002973115 0.001523724 0.000097129 0.323500143 0.104497653 0.019159961 0.050551445 0.023042649 0.005231712 0.004292498 0.001625109 0.000171759 0.174873508 0.035569917 0.007409198 0.290974561 -0.659247644 0.2768029229222 247.15016040 8.223395254 9.360842127 8.783620653 7.5863 7.202993744 MONT23_909.6 9.096 12.274 9838932.137 0.136880802 0.105287750 0.016241077 0.012476450 0.005670365 0.003077216 0.000015350 0.187100141 0.105614727 0.048081266 0.133266805 0.035591863 0.004761470 0.012634220 0.002846242 0.000632494 0.121782770 0.053447149 0.014591843 0.287737894 -0.488692221 0.3458316154607 178.05506680 8.118462524 9.310220663 8.271333981 7.3736 7.654965614 MONT23_919.6 9.196 12.499 5526062.364 0.127277421 0.101629965 0.026034897 0.004184389 0.004056991 0.007858919 0.000318483 0.243579081 0.108277911 0.016755131 0.059819495 0.025197564 0.027258592 0.005827977 0.001763197 0.000626576 0.183048715 0.049312679 0.007172017 0.354319770 -0.558549672 0.3532983643097 246.77821050 10.277046940 10.351561200 10.179126600 9.3234 7.469843368 MONT23_929.6 9.296 12.721 5325684.018 0.126959891 0.107230681 0.022587865 0.004502455 0.004540343 0.004184940 0.000595079 0.250935574 0.124398141 0.016553514 0.056172381 0.023609911 0.015857706 0.003560509 0.001563541 0.000400651 0.184636793 0.045778624 0.005931400 0.350675852 -0.534011105 0.3711891888083 293.18593520 10.158911110 10.294570320 10.510193240 9.3917 7.534870573 MONT23_939.6 9.396 12.942 12824756.900 0.122723138 0.098535234 0.025653840 0.002265344 0.002758832 0.003027759 0.000262047 0.277885569 0.144703254 0.016387119 0.033745887 0.022247380 0.009756798 0.002966053 0.001294055 0.000845116 0.201211215 0.029778936 0.003952423 0.349480035 -0.547876921 0.3799602088715 340.34523760 10.120142730 10.275867740 10.582958480 9.2563 7.498126159