cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18710/juwe1o/uhuedq
title: 20190308_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/wtkeap
title: 20190222_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/yw8jpg
title: 20191208_HOP_REDTEC_gps.txt
DOI: 10.18710/juwe1o/fau9s6
title: 20190217_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/gzcqd5
title: 20190614_HOP_REDTEC_gps.txt
DOI: 10.18710/juwe1o/mj2xcn
title: 20191223_HOP_REDTEC_gps.txt
DOI: 10.18710/juwe1o/qe5h5z
title: 20191006_HOP_REDTEC_gps.txt
DOI: 10.18710/juwe1o/tbwceh
title: 20190301_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/tdoudf
title: 20190327_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/wftyf2
title: 20190806_HOP_REDTEC_gps.txt
DOI: 10.18710/juwe1o/wseyra
title: 20190908_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/wwpuax
title: 20191218_HOP_REDTEC_gal.txt
DOI: 10.18710/0wghzm/7ta3l2
title: 20190324_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/aklp4u
title: 20190524_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/fruwec
title: 20190427_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/gl8ybi
title: 20190426_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/h1qzgt
title: 20190318_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/iq3bqo
title: 20190409_NYA_REDOBS_gps.txt
DOI: 10.18710/6ptnja/eamb5z
title: 20190214_BJN_REDOBS_gal.txt
DOI: 10.18710/6ptnja/llzqdy
title: 20190130_BJN_REDOBS_gal.txt
DOI: 10.18710/6ptnja/mengfu
title: 20191205_BJN_REDOBS_gal.txt
DOI: 10.18710/6ptnja/oawln3
title: 20190904_BJN_REDOBS_gps.txt
DOI: 10.18710/6ptnja/rsdper
title: 20190326_BJN_REDOBS_gal.txt
DOI: 10.18710/6ptnja/vbvp9m
title: 20191115_BJN_REDOBS_gps.txt
DOI: 10.18710/6ptnja/wgipun
title: 20190703_BJN_REDOBS_glo.txt
DOI: 10.18710/juwe1o/we81qn
title: 20190918_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/yh21cb
title: 20190910_HOP_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/0mil17
title: 20191104_BJN_REDTEC_gal.txt
DOI: 10.18710/lu4p3w/4c5bzk
title: 20190718_BJN_REDTEC_gps.txt
DOI: 10.18710/lu4p3w/5pljx8
title: 20191214_BJN_REDTEC_gal.txt
DOI: 10.18710/lu4p3w/5sfd2w
title: 20191223_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/7akuyq
title: 20190507_BJN_REDTEC_gal.txt
DOI: 10.18710/lu4p3w/bldsiw
title: 20190501_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/ogibg9
title: 20190122_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/qv9yit
title: 20191213_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/tx1zwe
title: 20190611_BJN_REDTEC_gps.txt
DOI: 10.18710/lu4p3w/upfn2e
title: 20191008_BJN_REDTEC_gps.txt
DOI: 10.18710/6ptnja/4lqibl
title: 20191008_BJN_REDOBS_gps.txt
DOI: 10.18710/6ptnja/ipvigd
title: 20190103_BJN_REDOBS_glo.txt
DOI: 10.18710/6ptnja/lesoxm
title: 20190413_BJN_REDOBS_gps.txt
DOI: 10.18710/6ptnja/trfhx1
title: 20191216_BJN_REDOBS_gps.txt
DOI: 10.18710/6ptnja/wcuhq7
title: 20190627_BJN_REDOBS_gal.txt
DOI: 10.18710/lu4p3w/pdcylu
title: 20190825_BJN_REDTEC_gal.txt
DOI: 10.18710/lu4p3w/ulepa8
title: 20190107_BJN_REDTEC_glo.txt
DOI: 10.18710/yhosw3/2ta5nd
title: 20190219_HOP_REDOBS_gal.txt
DOI: 10.18710/yhosw3/cektyu
title: 20190101_HOP_REDOBS_gal.txt
DOI: 10.18710/yhosw3/cpjk0b
title: 20191113_HOP_REDOBS_gal.txt
DOI: 10.18710/yhosw3/llwqft
title: 20190703_HOP_REDOBS_gal.txt
DOI: 10.18710/0wghzm/1dbwyl
title: 20190414_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/2u5kre
title: 20190420_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/8altgl
title: 20190316_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/aedgpr
title: 20190528_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/cpfhin
title: 20190614_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/cwjhvb
title: 20190604_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/gtebbw
title: 20190922_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/q0ghvp
title: 20190328_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/thdoni
title: 20191113_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/v2awb2
title: 20190704_NYA_REDOBS_glo.txt
DOI: 10.18710/6ptnja/3ynf2d
title: 20190407_BJN_REDOBS_gps.txt
DOI: 10.18710/6ptnja/datku7
title: 20190305_BJN_REDOBS_gal.txt
DOI: 10.18710/6ptnja/fdfekt
title: 20190628_BJN_REDOBS_gps.txt
DOI: 10.18710/6ptnja/gwyiui
title: 20191003_BJN_REDOBS_gps.txt
DOI: 10.18710/6ptnja/httgnq
title: 20190518_BJN_REDOBS_gal.txt
DOI: 10.18710/6ptnja/ivwnau
title: 20190315_BJN_REDOBS_gal.txt
DOI: 10.18710/6ptnja/j7eh12
title: 20191120_BJN_REDOBS_gps.txt
DOI: 10.18710/6ptnja/khiw80
title: 20190211_BJN_REDOBS_gps.txt
DOI: 10.18710/6ptnja/l0yzbq
title: 20190319_BJN_REDOBS_gal.txt
DOI: 10.18710/6ptnja/lryxhe
title: 20190429_BJN_REDOBS_glo.txt
DOI: 10.18710/6ptnja/nh7ks9
title: 20190211_BJN_REDOBS_glo.txt
DOI: 10.18710/6ptnja/o1opud
title: 20190906_BJN_REDOBS_glo.txt
DOI: 10.18710/6ptnja/oehjql
title: 20190120_BJN_REDOBS_glo.txt
DOI: 10.18710/6ptnja/pvvkrt
title: 20190730_BJN_REDOBS_gps.txt
DOI: 10.18710/6ptnja/rp4gw7
title: 20191122_BJN_REDOBS_glo.txt
DOI: 10.18710/6ptnja/vuhr23
title: 20191223_BJN_REDOBS_glo.txt
DOI: 10.18710/6ptnja/wpsmm4
title: 20190221_BJN_REDOBS_gal.txt
DOI: 10.18710/6ptnja/xqbbtk
title: 20191012_BJN_REDOBS_glo.txt
DOI: 10.18710/lu4p3w/0jp8vy
title: 20190313_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/1dug5s
title: 20191217_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/2s7yf0
title: 20191031_BJN_REDTEC_gal.txt
DOI: 10.18710/lu4p3w/6qdb1t
title: 20190327_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/cmidzh
title: 20190103_BJN_REDTEC_gps.txt
DOI: 10.18710/lu4p3w/gjbuhs
title: 20190326_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/hd9nw7
title: 20191026_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/hl0bwl
title: 20190328_BJN_REDTEC_gps.txt
DOI: 10.18710/lu4p3w/hm8r1n
title: 20191224_BJN_REDTEC_gps.txt
DOI: 10.18710/lu4p3w/hyn8m6
title: 20190912_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/j7fx87
title: 20190611_BJN_REDTEC_gal.txt
DOI: 10.18710/lu4p3w/kyykos
title: 20190808_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/nibyhc
title: 20190207_BJN_REDTEC_gal.txt
DOI: 10.18710/lu4p3w/r79bwr
title: 20190919_BJN_REDTEC_gps.txt
DOI: 10.18710/lu4p3w/slbzqq
title: 20191112_BJN_REDTEC_gal.txt
DOI: 10.18710/lu4p3w/snwwan
title: 20190907_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/ugjepv
title: 20190721_BJN_REDTEC_gps.txt
DOI: 10.18710/lu4p3w/ujry6w
title: 20190829_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/xtio9c
title: 20190514_BJN_REDTEC_gps.txt
DOI: 10.18710/lu4p3w/ymlpbj
title: 20190219_BJN_REDTEC_gps.txt
DOI: 10.18710/6ptnja/akmxsy
title: 20190313_BJN_REDOBS_gps.txt
DOI: 10.18710/6ptnja/fv5rka
title: 20191223_BJN_REDOBS_gps.txt
DOI: 10.18710/6ptnja/hqu7du
title: 20191206_BJN_REDOBS_gps.txt
DOI: 10.18710/6ptnja/n1vjyi
title: 20190810_BJN_REDOBS_gps.txt
DOI: 10.18710/juwe1o/eyhxo7
title: 20190623_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/tzkd3a
title: 20190129_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/zvpomb
title: 20190826_HOP_REDTEC_glo.txt
DOI: 10.18710/6ptnja/0qb5vo
title: 20191212_BJN_REDOBS_glo.txt
DOI: 10.18710/6ptnja/4nqskr
title: 20190401_BJN_REDOBS_glo.txt
DOI: 10.18710/6ptnja/bsrjkr
title: 20190104_BJN_REDOBS_gal.txt
DOI: 10.18710/6ptnja/d1zk0r
title: 20191006_BJN_REDOBS_gps.txt
DOI: 10.18710/6ptnja/hqa9ws
title: 20190806_BJN_REDOBS_gps.txt
DOI: 10.18710/6ptnja/iimpve
title: 20191016_BJN_REDOBS_gps.txt
DOI: 10.18710/6ptnja/jdd6gu
title: 20190617_BJN_REDOBS_gps.txt
DOI: 10.18710/6ptnja/qniplq
title: 20190726_BJN_REDOBS_glo.txt
DOI: 10.18710/6ptnja/sqvyge
title: 20190901_BJN_REDOBS_gal.txt
DOI: 10.18710/6ptnja/swjafn
title: 20191220_BJN_REDOBS_gal.txt
DOI: 10.18710/6ptnja/wlpduj
title: 20190419_BJN_REDOBS_glo.txt
DOI: 10.18710/6ptnja/x2oxmf
title: 20191218_BJN_REDOBS_gal.txt
DOI: 10.18710/6ptnja/xq0qlv
title: 20190806_BJN_REDOBS_glo.txt
DOI: 10.18710/6ptnja/yfktwv
title: 20190624_BJN_REDOBS_glo.txt
DOI: 10.18710/6ptnja/z8p38o
title: 20190822_BJN_REDOBS_glo.txt
DOI: 10.18710/juwe1o/4xulbp
title: 20190404_HOP_REDTEC_gps.txt
DOI: 10.18710/juwe1o/coa5vj
title: 20190717_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/iux802
title: 20190314_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/j7o4fl
title: 20190926_HOP_REDTEC_gps.txt
DOI: 10.18710/juwe1o/keiwnt
title: 20190502_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/qbphxf
title: 20190115_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/stde0g
title: 20190722_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/ufjse5
title: 20190411_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/vveez0
title: 20190912_HOP_REDTEC_gps.txt
DOI: 10.18710/juwe1o/wrtvfs
title: 20190702_HOP_REDTEC_gps.txt
DOI: 10.18710/lu4p3w/jyxoju
title: 20190819_BJN_REDTEC_gps.txt
DOI: 10.18710/lu4p3w/n36gvp
title: 20190509_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/nrm8ny
title: 20191210_BJN_REDTEC_gps.txt
DOI: 10.18710/lu4p3w/xot5tk
title: 20190926_BJN_REDTEC_gal.txt
DOI: 10.18710/lu4p3w/y00zvj
title: 20190815_BJN_REDTEC_gps.txt
DOI: 10.18710/lu4p3w/yuajs1
title: 20190428_BJN_REDTEC_glo.txt
DOI: 10.18710/yhosw3/pwwj0g
title: 20190316_HOP_REDOBS_glo.txt
DOI: 10.18710/yhosw3/rdawno
title: 20190101_HOP_REDOBS_gps.txt
DOI: 10.18710/0wghzm/n4c0wa
title: 20190411_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/vtkzhl
title: 20190705_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/ybnzuq
title: 20190606_NYA_REDOBS_glo.txt
DOI: 10.18710/6ptnja/6ec3br
title: 20190103_BJN_REDOBS_gps.txt
DOI: 10.18710/6ptnja/awrnw6
title: 20191116_BJN_REDOBS_gps.txt
DOI: 10.18710/6ptnja/bcrh3v
title: 20190820_BJN_REDOBS_gal.txt
DOI: 10.18710/6ptnja/fdw52l
title: 20190715_BJN_REDOBS_gal.txt
DOI: 10.18710/6ptnja/fijnwj
title: 20190720_BJN_REDOBS_gal.txt
DOI: 10.18710/6ptnja/lvfbtu
title: 20190403_BJN_REDOBS_gps.txt
DOI: 10.18710/6ptnja/pxoq88
title: 20190618_BJN_REDOBS_gps.txt
DOI: 10.18710/6ptnja/qhctyl
title: 20191023_BJN_REDOBS_gps.txt
DOI: 10.18710/6ptnja/wxbstl
title: 20190930_BJN_REDOBS_gal.txt
DOI: 10.18710/6ptnja/x0cemf
title: 20190108_BJN_REDOBS_gal.txt
DOI: 10.18710/6ptnja/zv8axu
title: 20191014_BJN_REDOBS_glo.txt
DOI: 10.18710/juwe1o/bfekpn
title: 20190828_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/cxtc7m
title: 20190803_HOP_REDTEC_gps.txt
DOI: 10.18710/0wghzm/0bz0ar
title: 20190408_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/23lrtx
title: 20190807_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/2otvv0
title: 20190315_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/bwnpek
title: 20190923_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/go8usd
title: 20190209_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/gy8l50
title: 20190312_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/mjrujb
title: 20190802_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/ppqe9v
title: 20190207_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/sgs6vb
title: 20191013_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/tttstl
title: 20191022_NYA_REDOBS_gal.txt
DOI: 10.18710/6ptnja/4ko62w
title: 20190218_BJN_REDOBS_glo.txt
DOI: 10.18710/6ptnja/b1sfmp
title: 20190516_BJN_REDOBS_gps.txt
DOI: 10.18710/6ptnja/efam4f
title: 20191119_BJN_REDOBS_glo.txt
DOI: 10.18710/6ptnja/f00iyz
title: 20190616_BJN_REDOBS_gps.txt
DOI: 10.18710/6ptnja/lcker7
title: 20190819_BJN_REDOBS_gal.txt
DOI: 10.18710/6ptnja/loxdtr
title: 20190424_BJN_REDOBS_glo.txt
DOI: 10.18710/6ptnja/s8dmjx
title: 20190619_BJN_REDOBS_gps.txt
DOI: 10.18710/6ptnja/t11khb
title: 20190908_BJN_REDOBS_gal.txt
DOI: 10.18710/6ptnja/u4proo
title: 20190225_BJN_REDOBS_glo.txt
DOI: 10.18710/6ptnja/vm6xvk
title: 20190519_BJN_REDOBS_gal.txt
DOI: 10.18710/lu4p3w/o68j8u
title: 20190122_BJN_REDTEC_gal.txt
DOI: 10.18710/0wghzm/9mbcph
title: 20190128_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/9obc7s
title: 20190224_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/afinnl
title: 20190727_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/blp9ib
title: 20190510_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/k3enm5
title: 20191027_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/lb6rwb
title: 20190820_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/phdcr3
title: 20190517_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/ptzyav
title: 20190215_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/v5hcna
title: 20190915_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/xedzy9
title: 20191203_NYA_REDOBS_gal.txt
DOI: 10.18710/juwe1o/bsv1uj
title: 20191108_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/muf53c
title: 20190913_HOP_REDTEC_gps.txt
DOI: 10.18710/juwe1o/pkfswz
title: 20190204_HOP_REDTEC_glo.txt
DOI: 10.18710/yhosw3/7fj5fp
title: 20190418_HOP_REDOBS_gps.txt
DOI: 10.18710/yhosw3/7rs9zf
title: 20190620_HOP_REDOBS_glo.txt
DOI: 10.18710/yhosw3/arifta
title: 20190318_HOP_REDOBS_glo.txt
DOI: 10.18710/yhosw3/atjqwe
title: 20190805_HOP_REDOBS_gps.txt
DOI: 10.18710/yhosw3/avjyp3
title: 20191205_HOP_REDOBS_glo.txt
DOI: 10.18710/yhosw3/ciopre
title: 20190731_HOP_REDOBS_glo.txt
DOI: 10.18710/yhosw3/dwljix
title: 20190714_HOP_REDOBS_gal.txt
DOI: 10.18710/yhosw3/ej3nci
title: 20190414_HOP_REDOBS_gal.txt
DOI: 10.18710/yhosw3/kd7brr
title: 20190306_HOP_REDOBS_gal.txt
DOI: 10.18710/yhosw3/ml7tfi
title: 20190919_HOP_REDOBS_gal.txt
DOI: 10.18710/yhosw3/mvpkh8
title: 20190807_HOP_REDOBS_glo.txt
DOI: 10.18710/yhosw3/ny6oaw
title: 20190811_HOP_REDOBS_glo.txt
DOI: 10.18710/yhosw3/rtc6vg
title: 20190329_HOP_REDOBS_gps.txt
DOI: 10.18710/yhosw3/tlcj8z
title: 20190123_HOP_REDOBS_gal.txt
DOI: 10.18710/yhosw3/tnschr
title: 20190903_HOP_REDOBS_glo.txt
DOI: 10.18710/yhosw3/tobpcn
title: 20190907_HOP_REDOBS_gps.txt
DOI: 10.18710/yhosw3/txonfk
title: 20190204_HOP_REDOBS_gps.txt
DOI: 10.18710/yhosw3/vmwzq4
title: 20190125_HOP_REDOBS_glo.txt
DOI: 10.18710/0wghzm/thxkyy
title: 20190512_NYA_REDOBS_glo.txt
DOI: 10.18710/6ptnja/dkhf2y
title: 20190809_BJN_REDOBS_glo.txt
DOI: 10.18710/6ptnja/kspwou
title: 20190613_BJN_REDOBS_gps.txt
DOI: 10.18710/juwe1o/5ukzpx
title: 20190901_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/9odibf
title: 20191213_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/bfm6qg
title: 20190730_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/bu1hje
title: 20190903_HOP_REDTEC_gps.txt
DOI: 10.18710/juwe1o/d4fkpm
title: 20190305_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/dst21h
title: 20190216_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/ip4klm
title: 20190527_HOP_REDTEC_gps.txt
DOI: 10.18710/juwe1o/jrz00t
title: 20190914_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/lckrtu
title: 20190214_HOP_REDTEC_gps.txt
DOI: 10.18710/juwe1o/ld9s92
title: 20190322_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/mi8as1
title: 20190109_HOP_REDTEC_gps.txt
DOI: 10.18710/juwe1o/pjxjgj
title: 20191021_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/q5j5gy
title: 20190913_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/qwxd4q
title: 20191007_HOP_REDTEC_gps.txt
DOI: 10.18710/juwe1o/vreams
title: 20190111_HOP_REDTEC_gps.txt
DOI: 10.18710/juwe1o/wtc1bg
title: 20190922_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/zkqlia
title: 20190817_HOP_REDTEC_gps.txt
DOI: 10.18710/yhosw3/23ajpp
title: 20190911_HOP_REDOBS_gps.txt
DOI: 10.18710/yhosw3/xyjxmr
title: 20190105_HOP_REDOBS_gal.txt
DOI: 10.18710/yhosw3/zgns1z
title: 20190516_HOP_REDOBS_gal.txt
DOI: 10.6084/m9.figshare.30666967
title: Surface proteome of plasma extracellular vesicles differentiates between SARS-CoV-2 and influenza infection

description: Small extracellular vesicles (sEVs) play a role in the pathophysiology of viral respiratory infections and may be suitable biomarkers for COVID-19 and Influenza infections, or targets for treatment. We investigated differences in the surface proteome of plasma sEVs in patients with COVID-19 and Influenza. In a discovery cohort with 117 patients, we used a random forest (RF) classifier in order to discriminate COVID-19 and Influenza patients based on routine clinical parameters. Furthermore, plasma samples from these patients were analyzed with an EV Array containing 33 antibodies to capture sEVs, which were then visualized with a combination of CD9, CD63, and CD81 antibodies. We applied an RF classifier and a random depth-first search (RDFS) approach to extract markers with the best discriminatory potential. Data were then validated in an independent set of patient samples on a chip-based ExoView platform.In the initial cohort of 117 patients, leukocyte numbers, and heart rate discriminated best between COVID-19 and Influenza infection. In the plasma samples, 32 EV surface markers could be detected. Feature panels containing CD9, CD81, and CD141 allowed a discrimination between COVID-19 and Influenza. Consecutively, increased CD9 abundance was validated in a second, independent cohort, with the ExoView technology. The increased CD9 signal in Influenza patients was confirmed and shown to be mostly driven by CD9/CD41a double positive sEVs, hinting at a thrombocyte origin.We identified leukocyte numbers and heart rate, as well as CD9 as a sEV surface marker to differentiate COVID-19 from Influenza patients.
DOI: 10.18710/juwe1o/22yjip
title: 20190705_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/bogvfx
title: 20190401_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/g9y5rd
title: 20190716_HOP_REDTEC_gps.txt
DOI: 10.18710/juwe1o/jm0u2a
title: 20190728_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/zp0ahr
title: 20190403_HOP_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/a0s8nw
title: 20190419_BJN_REDTEC_gal.txt
DOI: 10.18710/lu4p3w/hxkutd
title: 20190518_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/lhginl
title: 20191215_BJN_REDTEC_gal.txt
DOI: 10.18710/lu4p3w/sub1gk
title: 20191120_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/tva2pi
title: 20190511_BJN_REDTEC_gps.txt
DOI: 10.18710/xfwqec/5b8wqj
title: 20190625_KHO_REDTEC_gal.txt
DOI: 10.18710/yhosw3/1bpltt
title: 20190410_HOP_REDOBS_gps.txt
DOI: 10.18710/yhosw3/2a66ax
title: 20190123_HOP_REDOBS_glo.txt
DOI: 10.18710/yhosw3/6rgqpu
title: 20190922_HOP_REDOBS_glo.txt
DOI: 10.18710/yhosw3/7kjill
title: 20190709_HOP_REDOBS_glo.txt
DOI: 10.18710/yhosw3/aor0g4
title: 20191011_HOP_REDOBS_glo.txt
DOI: 10.18710/yhosw3/lxergv
title: 20190308_HOP_REDOBS_glo.txt
DOI: 10.18710/yhosw3/mlhwgb
title: 20190617_HOP_REDOBS_gps.txt
DOI: 10.18710/yhosw3/nuajwh
title: 20190520_HOP_REDOBS_glo.txt
DOI: 10.18710/yhosw3/shxiim
title: 20190818_HOP_REDOBS_gal.txt
DOI: 10.18710/yhosw3/uy8m6s
title: 20190116_HOP_REDOBS_gal.txt
DOI: 10.18710/yhosw3/vezt0s
title: 20190331_HOP_REDOBS_gal.txt
DOI: 10.18710/yhosw3/wqwkjm
title: 20190114_HOP_REDOBS_gps.txt
DOI: 10.18710/yhosw3/xqqugv
title: 20191227_HOP_REDOBS_glo.txt
DOI: 10.6084/m9.figshare.30666967.v2
title: Surface proteome of plasma extracellular vesicles differentiates between SARS-CoV-2 and influenza infection

description: Small extracellular vesicles (sEVs) play a role in the pathophysiology of viral respiratory infections and may be suitable biomarkers for COVID-19 and Influenza infections, or targets for treatment. We investigated differences in the surface proteome of plasma sEVs in patients with COVID-19 and Influenza. In a discovery cohort with 117 patients, we used a random forest (RF) classifier in order to discriminate COVID-19 and Influenza patients based on routine clinical parameters. Furthermore, plasma samples from these patients were analyzed with an EV Array containing 33 antibodies to capture sEVs, which were then visualized with a combination of CD9, CD63, and CD81 antibodies. We applied an RF classifier and a random depth-first search (RDFS) approach to extract markers with the best discriminatory potential. Data were then validated in an independent set of patient samples on a chip-based ExoView platform.In the initial cohort of 117 patients, leukocyte numbers, and heart rate discriminated best between COVID-19 and Influenza infection. In the plasma samples, 32 EV surface markers could be detected. Feature panels containing CD9, CD81, and CD141 allowed a discrimination between COVID-19 and Influenza. Consecutively, increased CD9 abundance was validated in a second, independent cohort, with the ExoView technology. The increased CD9 signal in Influenza patients was confirmed and shown to be mostly driven by CD9/CD41a double positive sEVs, hinting at a thrombocyte origin.We identified leukocyte numbers and heart rate, as well as CD9 as a sEV surface marker to differentiate COVID-19 from Influenza patients.
DOI: 10.18710/0wghzm/r5ehbj
title: 20190501_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/yyfqc3
title: 20190330_NYA_REDOBS_gal.txt
DOI: 10.18710/6ptnja/dtkz52
title: 20190824_BJN_REDOBS_glo.txt
DOI: 10.18710/juwe1o/2dipbk
title: 20190716_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/8ly3fq
title: 20190723_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/lknklm
title: 20191203_HOP_REDTEC_gal.txt
DOI: 10.18710/lu4p3w/3lnrqu
title: 20191021_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/evtlo2
title: 20190306_BJN_REDTEC_gps.txt
DOI: 10.18710/lu4p3w/f9uaps
title: 20191202_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/h614ev
title: 20190717_BJN_REDTEC_gps.txt
DOI: 10.18710/lu4p3w/ifr3bi
title: 20191007_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/isxk5k
title: 20191002_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/qwfe3n
title: 20191105_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/zw4nyg
title: 20191125_BJN_REDTEC_glo.txt
DOI: 10.18710/xfwqec/aukyrs
title: 20191110_KHO_REDTEC_glo.txt
DOI: 10.18710/xfwqec/bmfmgq
title: 20190409_KHO_REDTEC_gps.txt
DOI: 10.18710/xfwqec/kgalhr
title: 20190318_KHO_REDTEC_glo.txt
DOI: 10.18710/xfwqec/u4anpr
title: 20191206_KHO_REDTEC_glo.txt
DOI: 10.18710/yhosw3/0kaqk0
title: 20190328_HOP_REDOBS_gal.txt
DOI: 10.18710/yhosw3/8yd9lk
title: 20190707_HOP_REDOBS_gal.txt
DOI: 10.18710/yhosw3/apcjae
title: 20190318_HOP_REDOBS_gps.txt
DOI: 10.18710/yhosw3/gsuzfe
title: 20190913_HOP_REDOBS_glo.txt
DOI: 10.18710/yhosw3/iictvw
title: 20190126_HOP_REDOBS_gal.txt
DOI: 10.18710/yhosw3/l8dry4
title: 20191009_HOP_REDOBS_gal.txt
DOI: 10.18710/yhosw3/wqnvzw
title: 20190504_HOP_REDOBS_gal.txt
DOI: 10.6084/m9.figshare.30666967.v1
title: Surface proteome of plasma extracellular vesicles differentiates between SARS-CoV-2 and Influenza infection

description: Small extracellular vesicles (sEVs) play a role in the pathophysiology of viral respiratory infections, and may be suitable biomarkers for COVID-19 and Influenza infections or targets for treatment. We investigated differences in the surface proteome of plasma sEVs in patients with COVID-19 and Influenza. In a discovery cohort with 117 patients, we used a random forest (RF) classifier in order to discriminate COVID-19 and Influenza patients based on routine clinical parameters. Furthermore, plasma samples from these patients were analyzed with an EV Array containing 33 antibodies to capture sEVs, which were then visualized with a combination of CD9, CD63, and CD81 antibodies. We applied a RF classifier and a random depth-first search (RDFS) approach to extract markers with the best discriminatory potential. Data were then validated in an independent set of patient samples on a chip-based ExoView platform. In the initial cohort of 117 patients, leukocyte numbers, and heart rate discriminated best between COVID-19 and Influenza infection. In the plasma samples, 32 EV surface markers could be detected. Feature panels containing CD9, CD81, and CD141 allowed a discrimination between COVID-19 and Influenza. Consecutively, increased CD9 abundance was validated in a second, independent cohort, with the ExoView technology. The increased CD9 signal in Influenza patients was confirmed and shown to be mostly driven by CD9/CD41a double positive sEVs, hinting at a thrombocyte origin. We identified leukocyte numbers and heart rate, as well as CD9 as a sEV surface marker to differentiate COVID-19 from Influenza patients.
DOI: 10.18710/0wghzm/7kldr4
title: 20191224_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/bk9qqx
title: 20190502_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/bnp0th
title: 20190922_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/ii5zhe
title: 20190401_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/kyrwqg
title: 20190618_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/t4auni
title: 20190512_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/uhyuum
title: 20190205_NYA_REDOBS_glo.txt
DOI: 10.18710/6ptnja/3ae2sr
title: 20190722_BJN_REDOBS_glo.txt
DOI: 10.18710/6ptnja/3p0hrh
title: 20190422_BJN_REDOBS_gps.txt
DOI: 10.18710/6ptnja/6ojan7
title: 20191020_BJN_REDOBS_glo.txt
DOI: 10.18710/6ptnja/bcaeme
title: 20190620_BJN_REDOBS_glo.txt
DOI: 10.18710/6ptnja/brd364
title: 20191008_BJN_REDOBS_glo.txt
DOI: 10.18710/6ptnja/c9tecf
title: 20190509_BJN_REDOBS_gps.txt
DOI: 10.18710/6ptnja/cfhqds
title: 20190925_BJN_REDOBS_gal.txt
DOI: 10.18710/6ptnja/ez8d0f
title: 20191201_BJN_REDOBS_gal.txt
DOI: 10.18710/6ptnja/g9lizr
title: 20191128_BJN_REDOBS_gal.txt
DOI: 10.18710/6ptnja/hvjglm
title: 20190127_BJN_REDOBS_gal.txt
DOI: 10.18710/6ptnja/i0vyia
title: 20190731_BJN_REDOBS_glo.txt
DOI: 10.18710/6ptnja/icwtw0
title: 20190331_BJN_REDOBS_glo.txt
DOI: 10.18710/6ptnja/ij89bb
title: 20191109_BJN_REDOBS_glo.txt
DOI: 10.18710/6ptnja/kfpt54
title: 20190308_BJN_REDOBS_glo.txt
DOI: 10.18710/6ptnja/npyqak
title: 20190111_BJN_REDOBS_gps.txt
DOI: 10.18710/6ptnja/pcfske
title: 20190828_BJN_REDOBS_glo.txt
DOI: 10.18710/6ptnja/qmdwrz
title: 20190609_BJN_REDOBS_glo.txt
DOI: 10.18710/6ptnja/qnbtfh
title: 20190306_BJN_REDOBS_gal.txt
DOI: 10.18710/6ptnja/uhdwjh
title: 20191030_BJN_REDOBS_gal.txt