Publication Sample-type Sample-ID Group-ID Sample Lat(DD) Long(DD) Elev(masl) Thickn(cm) Density(g/cm3) Shield 10Be-conc(at/g) 10Be-unc(at/g) 10Be-std 26Al-conc(at/g) 26Al-unc(at/g) 26Al-std Sampl-year Publ-10-age(yr) Publ-10-unc(yr) Publ-26-age(yr) Publ-26-unc(yr) 10Be-age(yr) 10-ext-unc(yr) 10-int-unc(yr) 26Al-age(yr) 26-ext-unc(yr) 26-int-unc(yr) Extra-publ Peng et al. (2019) boulder Peng2019-1 Peng2019-A YDT14-1 28.2386 89.8913 4955 5 2.7 0.9735 58500 2300 07KNSTD 0 0 0 2014 1100 90 - - 1131 83 44 - - - - Peng et al. (2019) boulder Peng2019-2 Peng2019-A YDT14-2 28.2383 89.8915 4946 5 2.7 0.9743 12300 1100 07KNSTD 0 0 0 2014 280 30 - - 280 30 25 - - - - Peng et al. (2019) boulder Peng2019-3 Peng2019-A YDT14-3 28.2390 89.8911 4947 5 2.7 0.9735 24200 1400 07KNSTD 0 0 0 2014 530 50 - - 556 47 32 - - - - Peng et al. (2019) boulder Peng2019-4 Peng2019-A YDT14-4 28.2397 89.8906 4945 4 2.7 0.9657 36300 1600 07KNSTD 0 0 0 2014 770 70 - - 818 62 36 - - - - Peng et al. (2019) boulder Peng2019-5 Peng2019-A YDT14-5 28.2401 89.8904 4942 5 2.7 0.9657 24500 1400 07KNSTD 0 0 0 2014 540 50 - - 569 48 32 - - - - Peng et al. (2019) boulder Peng2019-6 Peng2019-B YDT14-6 28.2403 89.8923 4991 3 2.7 0.9784 126300 3500 07KNSTD 0 0 0 2014 2370 190 - - 2566 173 71 - - - - Peng et al. (2019) boulder Peng2019-7 Peng2019-B YDT14-7 28.2408 89.8917 4988 5 2.7 0.9708 55000 2400 07KNSTD 0 0 0 2014 1040 90 - - 1073 81 47 - - - - Peng et al. (2019) boulder Peng2019-8 Peng2019-B YDT14-8 28.2412 89.8914 4982 5 2.7 0.9674 64600 2300 07KNSTD 0 0 0 2014 1180 100 - - 1219 87 43 - - - - Peng et al. (2019) boulder Peng2019-9 Peng2019-B YDT14-9 28.2418 89.8910 4961 5 2.7 0.9674 56100 1900 07KNSTD 0 0 0 2014 1070 90 - - 1101 77 37 - - - - Peng et al. (2019) boulder Peng2019-10 Peng2019-B YDT14-10 28.2421 89.8906 4944 4 2.7 0.9259 37700 1800 07KNSTD 0 0 0 2014 820 40 - - 873 68 42 - - - - Peng et al. (2019) boulder Peng2019-11 Peng2019-C YDT14-24 28.2544 89.8992 4733 3 2.7 0.9949 636600 10800 07KNSTD 0 0 0 2014 10500 1000 - - 11479 735 195 - - - - Peng et al. (2019) boulder Peng2019-12 Peng2019-C YDT14-25 28.2545 89.8989 4819 3.5 2.7 0.9945 651300 10100 07KNSTD 0 0 0 2014 10400 1000 - - 11388 725 177 - - - - Peng et al. (2019) boulder Peng2019-13 Peng2019-C YDT14-26 28.2550 89.8985 4870 3.5 2.7 0.9945 797000 11200 07KNSTD 0 0 0 2014 12500 1200 - - 13039 826 184 - - - - Peng et al. (2019) boulder Peng2019-14 Peng2019-C YDT14-27 28.2551 89.8984 4876 3 2.7 0.9939 713900 12900 07KNSTD 0 0 0 2014 11100 1100 - - 11886 765 215 - - - - Peng et al. (2019) boulder Peng2019-15 Peng2019-C YDT14-28 28.2552 89.8983 4877 4 2.7 0.9976 652900 9700 07KNSTD 0 0 0 2014 10200 1000 - - 11237 714 167 - - - - Peng et al. (2019) boulder Peng2019-16 Peng2019-D YDT14-29 28.2966 89.9105 4828 3.5 2.7 0.9905 960500 13800 07KNSTD 0 0 0 2014 15200 1400 - - 15467 982 223 - - - - Peng et al. (2019) boulder Peng2019-17 Peng2019-D YDT14-30 28.2962 89.9109 4836 4.5 2.7 0.9838 992100 18700 07KNSTD 0 0 0 2014 15900 1500 - - 16137 1043 305 - - - - Peng et al. (2019) boulder Peng2019-18 Peng2019-D YDT14-31 28.2965 89.9108 4827 3 2.7 0.9838 1003900 15700 07KNSTD 0 0 0 2014 15900 1500 - - 16212 1034 255 - - - - Peng et al. (2019) boulder Peng2019-19 Peng2019-D YDT14-32 28.2964 89.9107 4825 3 2.7 0.9838 973100 12400 07KNSTD 0 0 0 2014 15500 1500 - - 15730 993 201 - - - - Peng et al. (2019) boulder Peng2019-20 Peng2019-D YDT14-33 28.2964 89.9106 4825 4 2.7 0.9810 946500 15500 07KNSTD 0 0 0 2014 15200 1400 - - 15468 989 254 - - - - Peng et al. (2019) boulder Peng2019-21 Peng2019-E YDT14-34 28.3055 89.9068 4797 4 2.7 0.9838 1185900 14800 07KNSTD 0 0 0 2014 18900 1800 - - 19262 1216 242 - - - - Peng et al. (2019) boulder Peng2019-22 Peng2019-E YDT14-35 28.3037 89.9064 4797 1.5 2.7 0.9703 1405300 17300 07KNSTD 0 0 0 2014 21900 2100 - - 21914 1384 271 - - - - Peng et al. (2019) boulder Peng2019-23 Peng2019-E YDT14-36 28.3030 89.9062 4810 2.5 2.7 0.9765 1317300 25300 07KNSTD 0 0 0 2014 20600 2000 - - 20856 1352 403 - - - - Peng et al. (2019) boulder Peng2019-24 Peng2019-E YDT14-37 28.3032 89.9056 4819 1 2.7 0.9703 1372000 20900 07KNSTD 0 0 0 2014 21200 2000 - - 21349 1361 327 - - - - Peng et al. (2019) boulder Peng2019-25 Peng2019-E YDT14-38 28.3031 89.9068 4806 3 2.7 0.9703 1210500 14300 07KNSTD 0 0 0 2014 19300 1800 - - 19643 1238 233 - - - - Peng et al. (2019) boulder Peng2019-26 Peng2019-E YDT14-39 28.3033 89.9069 4805 5 2.7 0.9703 1277100 17900 07KNSTD 0 0 0 2014 20600 1900 - - 20799 1320 293 - - - - Peng et al. (2019) pebbles Peng2019-27 Peng2019-F YDT14-12 28.3373 89.9146 4730 1 2.7 0.9775 1436000 15700 07KNSTD 0 0 0 2014 22700 2100 - - 22650 1425 249 - - - - Peng et al. (2019) pebbles Peng2019-28 Peng2019-G YDT14-11 28.3568 89.9064 4703 1 2.7 0.9775 1477700 15800 07KNSTD 0 0 0 2014 23600 2200 - - 23516 1478 253 - - - - Reference: Peng X, Chen YX, Liu GN, Liu BB, Li YK, Liu Q, Han YS, Yang WL, Cui ZJ, 2019. Late Quaternary glaciations in the Cogarbu valley, Bhutanese Himalaya. Journal of Quaternary Science 34, 40-50. Data comments: Sampling year based on sample names. Group ID based on publication (Table 1). expage.github.io - data from expage-202306