cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34820/fk2/gw8jiv/t3snlq
title: R15_S8_W40_F.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/dmzv79
title: N05_S1_W36_S.png

description: :unav
DOI: 10.25582/data.2022-03.2455045/2271860
title: Data for EMSL Project 60066 from March 2022
DOI: 10.34820/fk2/gw8jiv/0jroa4
title: N05_S7_W34_S.png

description: :unav
DOI: 10.25582/data.2022-06.2532452/2271861
title: Data for EMSL Project 60066 from June 2022
DOI: 10.34820/fk2/gw8jiv/r5po2f
title: N05_S7_W6_S.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/qb8axj
title: N05_S8_W12_S.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/q1qnuy
title: R08_S4_W30_F.png

description: :unav
DOI: 10.25582/data.2022-04.2500420/2271862
title: Data for EMSL Project 60066 from April 2022
DOI: 10.34820/fk2/gw8jiv/cwstz7
title: R08_S8_W33_F.png

description: :unav
DOI: 10.25582/data.2022-04.2503498/2271863
title: Data for EMSL Project 60066 from April 2022
DOI: 10.34820/fk2/gw8jiv/jbday2
title: N05_S8_W48_S.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/yng0rx
title: R12_S5_W17_S.png

description: :unav
DOI: 10.25582/data.2022-05.2507418/2271864
title: Data for EMSL Project 60066 from May 2022
DOI: 10.34820/fk2/gw8jiv/gcyuj8
title: N06_S6_W37_F.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/3fc0sa
title: R12_S2_W58_S.png

description: :unav
DOI: 10.5281/zenodo.10449871
title: List of macrofungi in Changbai Mountains

description: A total of 11,593 specimens were gathered, belonging to 1,392 species, 365 genera, and 113 families. The alpha-diversity analysis revealed higher levels of macrofungi diversity and richness in broadleaved forests compared to conifer forests. Moreover, the abundance of macrofungal species in Quercus mongolica forests (42.96%) was significantly higher than other forest types.

The main functional groups identified ectomycorrhizal fungi (EM) and wood-decaying fungi (WS), and the species richness exhibited a positive correlation with the relative content of Q. mongolica. The seasonal dynamics showed that the distribution of ectomycorrhizal fungi (31.9%), wood-rotting fungi (9.77%), and soil-rotting fungi (13.15%) was predominant in the Q. mongolica forest, with the highest species abundance observed in August and July. The RDA analyses indicated that the community and composition of macrofungi in the Changbai Mountains were significantly influenced by climate. The fungal communities exhibited a positive correlation with precipitation and temperature and were influenced by soil moisture and leaf area index (LAI).
DOI: 10.5281/zenodo.10449872
title: List of macrofungi in Changbai Mountains

description: A total of 11,593 specimens were gathered, belonging to 1,392 species, 365 genera, and 113 families. The alpha-diversity analysis revealed higher levels of macrofungi diversity and richness in broadleaved forests compared to conifer forests. Moreover, the abundance of macrofungal species in Quercus mongolica forests (42.96%) was significantly higher than other forest types.

The main functional groups identified ectomycorrhizal fungi (EM) and wood-decaying fungi (WS), and the species richness exhibited a positive correlation with the relative content of Q. mongolica. The seasonal dynamics showed that the distribution of ectomycorrhizal fungi (31.9%), wood-rotting fungi (9.77%), and soil-rotting fungi (13.15%) was predominant in the Q. mongolica forest, with the highest species abundance observed in August and July. The RDA analyses indicated that the community and composition of macrofungi in the Changbai Mountains were significantly influenced by climate. The fungal communities exhibited a positive correlation with precipitation and temperature and were influenced by soil moisture and leaf area index (LAI).
DOI: 10.5281/zenodo.10449891
title: List of macrofungi in Changbai Mountains

description: A total of 11,593 specimens were gathered, belonging to 1,392 species, 365 genera, and 113 families. The alpha-diversity analysis revealed higher levels of macrofungi diversity and richness in broadleaved forests compared to conifer forests. Moreover, the abundance of macrofungal species in Quercus mongolica forests (42.96%) was significantly higher than other forest types.

The main functional groups identified ectomycorrhizal fungi (EM) and wood-decaying fungi (WS), and the species richness exhibited a positive correlation with the relative content of Q. mongolica. The seasonal dynamics showed that the distribution of ectomycorrhizal fungi (31.9%), wood-rotting fungi (9.77%), and soil-rotting fungi (13.15%) was predominant in the Q. mongolica forest, with the highest species abundance observed in August and July. The RDA analyses indicated that the community and composition of macrofungi in the Changbai Mountains were significantly influenced by climate. The fungal communities exhibited a positive correlation with precipitation and temperature and were influenced by soil moisture and leaf area index (LAI).
DOI: 10.25582/data.2022-06.2530502/2271865
title: Data for EMSL Project 60066 from June 2022
DOI: 10.34820/fk2/gw8jiv/sgitb1
title: N05_S7_W55_S.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/ukdvlm
title: R08_S3_W10_F.png

description: :unav
DOI: 10.25582/data.2022-06.2534328/2271866
title: Data for EMSL Project 60066 from June 2022
DOI: 10.34820/fk2/gw8jiv/tah4h8
title: R12_S4_W5_S.png

description: :unav
DOI: 10.25582/data.2022-03.2455132/2271867
title: Data for EMSL Project 60066 from March 2022
DOI: 10.34820/fk2/gw8jiv/acgxik
title: N03_S4_W38_F.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/qt5ylh
title: R08_S7_W45_S.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/bhedhf
title: N05_S8_W35_S.png

description: :unav
DOI: 10.25582/data.2022-04.2503231/2271868
title: Data for EMSL Project 60066 from April 2022
DOI: 10.34820/fk2/gw8jiv/ih880i
title: N07_S5_W3_F.png

description: :unav
DOI: 10.25582/data.2022-06.2531921/2271869
title: Data for EMSL Project 60066 from June 2022
DOI: 10.34820/fk2/gw8jiv/uy1iyg
title: N03_S1_W46_F.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/taiszf
title: R12_S5_W1_S.png

description: :unav
DOI: 10.25582/data.2022-04.2506111/2271870
title: Data for EMSL Project 60066 from April 2022
DOI: 10.34820/fk2/gw8jiv/qcdzaq
title: N03_S2_W19_F.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/gmamc2
title: R15_S1_W16_S.png

description: :unav
DOI: 10.25582/data.2022-06.2539545/2271871
title: Data for EMSL Project 60066 from June 2022
DOI: 10.34820/fk2/gw8jiv/wklozy
title: R10_S2_W22_F.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/zvyl1p
title: R08_S3_W57_S.png

description: :unav
DOI: 10.25582/data.2022-06.2539667/2271872
title: Data for EMSL Project 60066 from June 2022
DOI: 10.34820/fk2/gw8jiv/wrac3g
title: N05_S3_W46_S.png

description: :unav
DOI: 10.25582/data.2022-04.2500406/2271873
title: Data for EMSL Project 60066 from April 2022
DOI: 10.34820/fk2/gw8jiv/nzhnnc
title: N07_S3_W40_S.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/yqtr93
title: N05_S3_W5_F.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/qbemfd
title: N06_S8_W25_F.png

description: :unav
DOI: 10.25582/data.2022-04.2501613/2271874
title: Data for EMSL Project 60066 from April 2022
DOI: 10.34820/fk2/gw8jiv/loztln
title: R15_S1_W7_F.png

description: :unav
DOI: 10.25582/data.2022-04.2506134/2271875
title: Data for EMSL Project 60066 from April 2022
DOI: 10.34820/fk2/gw8jiv/fkl9zs
title: N07_S3_W55_S.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/0ddbj8
title: N05_S7_W5_S.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/wj049o
title: R08_S2_W54_S.png

description: :unav
DOI: 10.25582/data.2022-03.2459441/2271876
title: Data for EMSL Project 60066 from March 2022
DOI: 10.34820/fk2/gw8jiv/icj6li
title: N05_S4_W32_S.png

description: :unav
DOI: 10.25582/data.2022-06.2531288/2271877
title: Data for EMSL Project 60066 from June 2022
DOI: 10.34820/fk2/gw8jiv/l0eiei
title: N03_S4_W50_F.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/llsf2d
title: N01_S3_W55_F.png

description: :unav
DOI: 10.25582/data.2022-05.2512228/2271878
title: Data for EMSL Project 60066 from May 2022
DOI: 10.34820/fk2/gw8jiv/ak8zuy
title: N03_S1_W21_F.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/xjjk9g
title: N06_S8_W58_F.png

description: :unav
DOI: 10.25582/data.2022-06.2539566/2271879
title: Data for EMSL Project 60066 from June 2022
DOI: 10.34820/fk2/gw8jiv/4zz6dx
title: N05_S2_W45_S.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/qnozac
title: R12_S6_W7_S.png

description: :unav
DOI: 10.25582/data.2022-04.2505654/2271880
title: Data for EMSL Project 60066 from April 2022
DOI: 10.34820/fk2/gw8jiv/99h0an
title: N05_S4_W23_S.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/arnykj
title: N05_S3_W18_F.png

description: :unav
DOI: 10.25582/data.2022-05.2512178/2271881
title: Data for EMSL Project 60066 from May 2022
DOI: 10.34820/fk2/gw8jiv/hhimlx
title: N05_S5_W37_F.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/dy775s
title: R10_S5_W44_F.png

description: :unav
DOI: 10.25582/data.2022-04.2501704/2271882
title: Data for EMSL Project 60066 from April 2022
DOI: 10.34820/fk2/gw8jiv/ocobwb
title: N05_S3_W7_S.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/hbq2qq
title: N06_S1_W22_F.png

description: :unav
DOI: 10.25582/data.2022-05.2512240/2271883
title: Data for EMSL Project 60066 from May 2022
DOI: 10.34820/fk2/gw8jiv/iguero
title: N06_S7_W31_F.png

description: :unav
DOI: 10.25582/data.2022-03.2449918/2271884
title: Data for EMSL Project 60066 from March 2022
DOI: 10.34820/fk2/gw8jiv/slzdcf
title: N05_S2_W48_S.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/ueatoa
title: R08_S6_W42_S.png

description: :unav
DOI: 10.25582/data.2022-04.2504069/2271885
title: Data for EMSL Project 60066 from April 2022
DOI: 10.34820/fk2/gw8jiv/l2e7ja
title: R08_S1_W13_F.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/2pndma
title: N06_S3_W15_F.png

description: :unav
DOI: 10.25582/data.2022-03.2454146/2271886
title: Data for EMSL Project 60066 from March 2022
DOI: 10.34820/fk2/gw8jiv/im2vsq
title: N03_S7_W40_F.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/eecm1k
title: R08_S2_W39_S.png

description: :unav
DOI: 10.25582/data.2022-05.2523622/2271887
title: Data for EMSL Project 60066 from May 2022
DOI: 10.34820/fk2/gw8jiv/pbrorh
title: N04_S4_W28_F.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/5gg3gq
title: N04_S5_W7_F.png

description: :unav
DOI: 10.25582/data.2022-04.2500463/2271888
title: Data for EMSL Project 60066 from April 2022
DOI: 10.34820/fk2/gw8jiv/fwp7dk
title: R11_S3_W51_F.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/em3w1r
title: N06_S5_W25_F.png

description: :unav
DOI: 10.25582/data.2022-04.2503997/2271889
title: Data for EMSL Project 60066 from April 2022
DOI: 10.34820/fk2/gw8jiv/sfkdfv
title: N05_S4_W37_S.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/m3es0b
title: R12_S5_W58_F.png

description: :unav
DOI: 10.25582/data.2022-03.2457163/2271890
title: Data for EMSL Project 60066 from March 2022
DOI: 10.34820/fk2/gw8jiv/2ocao6
title: N07_S6_W37_S.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/atqtj4
title: R08_S4_W56_S.png

description: :unav
DOI: 10.25582/data.2022-04.2505547/2271891
title: Data for EMSL Project 60066 from April 2022
DOI: 10.34820/fk2/gw8jiv/lexgeo
title: N04_S8_W47_F.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/ilwskm
title: N01_S5_W39_F.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/kksygz
title: R12_S8_W52_S.png

description: :unav
DOI: 10.25582/data.2022-05.2512109/2271892
title: Data for EMSL Project 60066 from May 2022
DOI: 10.34820/fk2/gw8jiv/jzxtx0
title: N05_S3_W45_S.png

description: :unav
DOI: 10.25582/data.2022-05.2512168/2271893
title: Data for EMSL Project 60066 from May 2022
DOI: 10.34820/fk2/gw8jiv/dm79wq
title: N03_S2_W33_F.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/2j4stq
title: R15_S2_W41_F.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/si5omm
title: R08_S4_W5_F.png

description: :unav
DOI: 10.25582/data.2022-05.2508112/2271894
title: Data for EMSL Project 60066 from May 2022
DOI: 10.34820/fk2/gw8jiv/vqg19d
title: R11_S2_W12_F.png

description: :unav
DOI: 10.25582/data.2022-04.2505797/2271895
title: Data for EMSL Project 60066 from April 2022
DOI: 10.34820/fk2/gw8jiv/tuz2p0
title: N02_S8_W54_F.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/zrnq64
title: N06_S4_W22_F.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/b6fddz
title: R15_S2_W28_S.png

description: :unav
DOI: 10.25582/data.2022-05.2512090/2271896
title: Data for EMSL Project 60066 from May 2022
DOI: 10.34820/fk2/gw8jiv/xspkxu
title: R12_S2_W60_S.png

description: :unav
DOI: 10.25582/data.2022-03.2449302/2271897
title: Data for EMSL Project 60066 from March 2022
DOI: 10.34820/fk2/gw8jiv/ahtps3
title: R15_S1_W9_F.png

description: :unav
DOI: 10.25582/data.2022-04.2500476/2271898
title: Data for EMSL Project 60066 from April 2022
DOI: 10.34820/fk2/gw8jiv/s2cs8n
title: R08_S1_W55_F.png

description: :unav
DOI: 10.25582/data.2022-03.2450126/2271899
title: Data for EMSL Project 60066 from March 2022
DOI: 10.34820/fk2/gw8jiv/anef7r
title: R10_S7_W21_F.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/adha0s
title: R15_S1_W25_S.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/u28lln
title: N03_S2_W16_F.png

description: :unav
DOI: 10.25582/data.2022-04.2501671/2271900
title: Data for EMSL Project 60066 from April 2022
DOI: 10.34820/fk2/gw8jiv/jt7qjb
title: R15_S5_W49_F.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/nxyegl
title: N05_S4_W27_S.png

description: :unav
DOI: 10.25582/data.2022-03.2452871/2271901
title: Data for EMSL Project 60066 from March 2022
DOI: 10.34820/fk2/gw8jiv/lfis61
title: N05_S4_W11_S.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/fyabmo
title: R08_S1_W53_F.png

description: :unav
DOI: 10.25582/data.2022-04.2501656/2271902
title: Data for EMSL Project 60066 from April 2022
DOI: 10.34820/fk2/gw8jiv/tjdilf
title: R08_S1_W38_F.png

description: :unav
DOI: 10.25582/data.2022-06.2533996/2271903
title: Data for EMSL Project 60066 from June 2022
DOI: 10.34820/fk2/gw8jiv/j4jdep
title: N03_S2_W12_F.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/3sz8af
title: N05_S2_W13_F.png

description: :unav
DOI: 10.25582/data.2022-04.2505901/2271904
title: Data for EMSL Project 60066 from April 2022
DOI: 10.34820/fk2/gw8jiv/l2jgdm
title: N05_S1_W23_S.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/ijyyfb
title: N05_S5_W48_F.png

description: :unav
DOI: 10.25582/data.2022-04.2504685/2271905
title: Data for EMSL Project 60066 from April 2022
DOI: 10.34820/fk2/gw8jiv/skvekk
title: N02_S8_W58_F.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/bzpp6m
title: R08_S4_W19_F.png

description: :unav
DOI: 10.25582/data.2022-04.2504699/2271906
title: Data for EMSL Project 60066 from April 2022
DOI: 10.34820/fk2/gw8jiv/ssbky8
title: R08_S5_W40_S.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/ml43x3
title: N01_S4_W45_F.png

description: :unav
DOI: 10.25582/data.2022-06.2532370/2271907
title: Data for EMSL Project 60066 from June 2022
DOI: 10.34820/fk2/gw8jiv/bcgwld
title: N06_S7_W44_F.png

description: :unav
DOI: 10.25582/data.2022-06.2532220/2271908
title: Data for EMSL Project 60066 from June 2022
DOI: 10.34820/fk2/gw8jiv/avedal
title: N02_S6_W39_F.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/foadxt
title: N07_S3_W35_F.png

description: :unav
DOI: 10.25582/data.2022-05.2508674/2271909
title: Data for EMSL Project 60066 from May 2022
DOI: 10.34820/fk2/gw8jiv/fqj7vh
title: N07_S3_W27_S.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/psrhyq
title: N07_S6_W39_F.png

description: :unav
DOI: 10.25582/data.2022-06.2539680/2271910
title: Data for EMSL Project 60066 from June 2022
DOI: 10.34820/fk2/gw8jiv/6uylou
title: R08_S1_W58_F.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/wfeetv
title: N07_S3_W56_S.png

description: :unav
DOI: 10.25582/data.2022-05.2508144/2271911
title: Data for EMSL Project 60066 from May 2022
DOI: 10.34820/fk2/gw8jiv/t03zdc
title: R08_S6_W36_S.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/d7laqd
title: N03_S7_W33_F.png

description: :unav
DOI: 10.25582/data.2022-05.2521617/2271912
title: Data for EMSL Project 60066 from May 2022
DOI: 10.34820/fk2/gw8jiv/9d9xnu
title: N07_S6_W16_S.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/yi6zuv
title: R12_S7_W6_S.png

description: :unav
DOI: 10.25582/data.2022-06.2531426/2271913
title: Data for EMSL Project 60066 from June 2022
DOI: 10.34820/fk2/gw8jiv/rcrpgq
title: N05_S4_W58_S.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/h9y3on
title: R08_S1_W18_F.png

description: :unav
DOI: 10.25582/data.2022-04.2503996/2271914
title: Data for EMSL Project 60066 from April 2022
DOI: 10.34820/fk2/gw8jiv/pa5ic7
title: N05_S5_W11_S.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/tdwhpu
title: N03_S8_W41_F.png

description: :unav
DOI: 10.25582/data.2022-06.2532222/2271915
title: Data for EMSL Project 60066 from June 2022
DOI: 10.34820/fk2/gw8jiv/ywowwn
title: R15_S1_W10_S.png

description: :unav
DOI: 10.34820/fk2/gw8jiv/0c0sqq
title: N07_S4_W15_S.png

description: :unav
DOI: 10.25582/data.2022-06.2526252/2271916
title: Data for EMSL Project 60066 from June 2022
DOI: 10.34820/fk2/gw8jiv/btdzlb
title: N07_S3_W57_S.png

description: :unav
DOI: 10.25582/data.2022-05.2523884/2271917
title: Data for EMSL Project 60066 from May 2022
DOI: 10.34820/fk2/gw8jiv/uemlrf
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DOI: 10.34820/fk2/gw8jiv/1oclkf
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DOI: 10.25582/data.2022-06.2531447/2271918
title: Data for EMSL Project 60066 from June 2022
DOI: 10.34820/fk2/gw8jiv/kyp2at
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DOI: 10.34820/fk2/gw8jiv/eik7ai
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DOI: 10.25582/data.2022-05.2507898/2271919
title: Data for EMSL Project 60066 from May 2022
DOI: 10.34820/fk2/gw8jiv/qbvoux
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DOI: 10.25582/data.2022-04.2501846/2271920
title: Data for EMSL Project 60066 from April 2022
DOI: 10.34820/fk2/gw8jiv/nscbkb
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DOI: 10.34820/fk2/gw8jiv/vwd80u
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DOI: 10.34820/fk2/gw8jiv/0fz7cz
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DOI: 10.25582/data.2022-04.2501633/2271921
title: Data for EMSL Project 60066 from April 2022
DOI: 10.34820/fk2/gw8jiv/zgknj1
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DOI: 10.34820/fk2/gw8jiv/4hphka
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DOI: 10.25582/data.2022-06.2530586/2271922
title: Data for EMSL Project 60066 from June 2022
DOI: 10.34820/fk2/gw8jiv/hpkxe0
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DOI: 10.34820/fk2/gw8jiv/zijorj
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DOI: 10.25582/data.2022-06.2534274/2271923
title: Data for EMSL Project 60066 from June 2022
DOI: 10.34820/fk2/gw8jiv/qmxyud
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DOI: 10.25582/data.2022-06.2539605/2271924
title: Data for EMSL Project 60066 from June 2022
DOI: 10.34820/fk2/gw8jiv/puasrs
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DOI: 10.34820/fk2/gw8jiv/20g34t
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DOI: 10.25582/data.2022-04.2504591/2271925
title: Data for EMSL Project 60066 from April 2022
DOI: 10.34820/fk2/gw8jiv/w0eybo
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DOI: 10.34820/fk2/gw8jiv/nqvhlr
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DOI: 10.25582/data.2022-05.2523461/2271926
title: Data for EMSL Project 60066 from May 2022
DOI: 10.34820/fk2/gw8jiv/g1byjw
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DOI: 10.34820/fk2/gw8jiv/j7aahc
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DOI: 10.25582/data.2022-04.2501095/2271927
title: Data for EMSL Project 60066 from April 2022
DOI: 10.34820/fk2/gw8jiv/tjp6kd
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DOI: 10.34820/fk2/gw8jiv/iqglod
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DOI: 10.25582/data.2022-06.2531940/2271928
title: Data for EMSL Project 60066 from June 2022
DOI: 10.34820/fk2/gw8jiv/npfi7r
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DOI: 10.34820/fk2/gw8jiv/yuf9dv
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DOI: 10.25582/data.2022-05.2512093/2271929
title: Data for EMSL Project 60066 from May 2022
DOI: 10.34820/fk2/gw8jiv/hvsdtq
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DOI: 10.34820/fk2/gw8jiv/ksrtnt
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DOI: 10.25582/data.2022-05.2512120/2271930
title: Data for EMSL Project 60066 from May 2022
DOI: 10.34820/fk2/gw8jiv/symai1
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DOI: 10.25582/data.2022-05.2512174/2271931
title: Data for EMSL Project 60066 from May 2022
DOI: 10.34820/fk2/gw8jiv/cmuw9t
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DOI: 10.34820/fk2/gw8jiv/atcvqj
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DOI: 10.34820/fk2/gw8jiv/6qt5ou
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DOI: 10.25582/data.2022-06.2531367/2271932
title: Data for EMSL Project 60066 from June 2022
DOI: 10.34820/fk2/gw8jiv/js0xmt
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DOI: 10.34820/fk2/gw8jiv/xiwlnb
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DOI: 10.25582/data.2022-04.2503965/2271933
title: Data for EMSL Project 60066 from April 2022
DOI: 10.34820/fk2/gw8jiv/wq2e82
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DOI: 10.34820/fk2/gw8jiv/aw7sxz
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DOI: 10.25582/data.2022-04.2503969/2271934
title: Data for EMSL Project 60066 from April 2022
DOI: 10.34820/fk2/gw8jiv/c3nfrp
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DOI: 10.34820/fk2/gw8jiv/rmw6bv
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DOI: 10.25582/data.2022-05.2520861/2271935
title: Data for EMSL Project 60066 from May 2022
DOI: 10.34820/fk2/gw8jiv/jmmlsc
title: N05_S8_W14_S.png

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DOI: 10.25582/data.2022-03.2457316/2271936
title: Data for EMSL Project 60066 from March 2022
DOI: 10.34820/fk2/gw8jiv/opgyhx
title: R08_S2_W47_S.png

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DOI: 10.34820/fk2/gw8jiv/jmjah0
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DOI: 10.34820/fk2/gw8jiv/3knnay
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DOI: 10.25582/data.2022-04.2497871/2271937
title: Data for EMSL Project 60066 from April 2022
DOI: 10.34820/fk2/gw8jiv/b5aazv
title: N05_S4_W2_F.png

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DOI: 10.25582/data.2022-05.2523655/2271938
title: Data for EMSL Project 60066 from May 2022
DOI: 10.34820/fk2/gw8jiv/o1jv0c
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DOI: 10.34820/fk2/gw8jiv/lhzw6o
title: N06_S6_W29_F.png

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DOI: 10.25582/data.2022-05.2512217/2271939
title: Data for EMSL Project 60066 from May 2022
DOI: 10.34820/fk2/gw8jiv/aqfdp8
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DOI: 10.34820/fk2/gw8jiv/gpjfyx
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DOI: 10.25582/data.2022-06.2531469/2271940
title: Data for EMSL Project 60066 from June 2022
DOI: 10.34820/fk2/gw8jiv/jwrvnm
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DOI: 10.34820/fk2/gw8jiv/zty7mm
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DOI: 10.25582/data.2022-06.2535193/2271941
title: Data for EMSL Project 60066 from June 2022
DOI: 10.34820/fk2/gw8jiv/89j20l
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DOI: 10.34820/fk2/gw8jiv/palfdz
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DOI: 10.25582/data.2022-03.2451320/2271942
title: Data for EMSL Project 60066 from March 2022
DOI: 10.34820/fk2/gw8jiv/bbmbjx
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DOI: 10.25582/data.2022-04.2501591/2271943
title: Data for EMSL Project 60066 from April 2022
DOI: 10.34820/fk2/gw8jiv/5umoe9
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DOI: 10.34820/fk2/gw8jiv/wajb86
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DOI: 10.25582/data.2022-06.2531429/2271944
title: Data for EMSL Project 60066 from June 2022
DOI: 10.34820/fk2/gw8jiv/olpsop
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DOI: 10.25582/data.2022-03.2450108/2271945
title: Data for EMSL Project 60066 from March 2022
DOI: 10.34820/fk2/gw8jiv/4f37lf
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DOI: 10.34820/fk2/gw8jiv/bqtffs
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DOI: 10.34820/fk2/gw8jiv/tvdimm
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DOI: 10.25582/data.2022-03.2451973/2271946
title: Data for EMSL Project 60066 from March 2022
DOI: 10.34820/fk2/gw8jiv/5wjlkm
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DOI: 10.25582/data.2022-05.2508677/2271947
title: Data for EMSL Project 60066 from May 2022
DOI: 10.34820/fk2/gw8jiv/wbdzag
title: N07_S6_W57_S.png

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