cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25824/redu/z5io2f
title: VKEETPVd_Tw014a.xvg
DOI: 10.25824/redu/xtz7ct
title: VKEETPVd_Fw0010g.xvg
DOI: 10.25824/redu/vvcn5s
title: VKEETPVd_Vw005g.xvg
DOI: 10.25824/redu/j92god
title: VKEETPVd_Pw025a.xvg
DOI: 10.25824/redu/1lhsdf
title: VKEETPVd_Fw0006g.xvg
DOI: 10.25824/redu/2acyif
title: VKEETPVd_Aw030g.xvg
DOI: 10.25824/redu/ewrcuy
title: VKEETPVd_Ew0010a.xvg
DOI: 10.25824/redu/xvafpe
title: VKEETPVd_Ww0010a.xvg
DOI: 10.25824/redu/u8y19n
title: VKEETPVd_Sw010a.xvg
DOI: 10.25824/redu/elijn8
title: VKEETPVd_Ew0020g.xvg
DOI: 10.25824/redu/8aehjo
title: VKEETPVd_Dw0025g.xvg
DOI: 10.25824/redu/hfeqlw
title: VKEETPVd_Vw0010a.xvg
DOI: 10.25824/redu/tx5ioa
title: VKEETPVd_Fw0006a.xvg
DOI: 10.25824/redu/psqded
title: VKEETPVd_Tw0010a.xvg
DOI: 10.25824/redu/ayhgpw
title: VKEETPVd_Pw025g.xvg
DOI: 10.25824/redu/6tptpp
title: VKEETPVd_Qw003a.xvg
DOI: 10.5281/zenodo.6358812
title: Supplementary Material: Low temperature photoluminescence investigation of light-induced degradation in boron doped CZ-silicon

description: Dataset from the paper: Low temperature photoluminescence investigation of light-induced degradation in boron doped CZ-silicon.
description: Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – 44512322, SimASiSii
DOI: 10.25824/redu/nsk3ge
title: VKEETPVd_Hw003a.xvg
DOI: 10.5281/zenodo.6358811
title: Supplementary Material: Low temperature photoluminescence investigation of light-induced degradation in boron doped CZ-silicon

description: Dataset from the paper: Low temperature photoluminescence investigation of light-induced degradation in boron doped CZ-silicon.
description: Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – 44512322, SimASiSii
DOI: 10.25824/redu/rxgkcu
title: VKEETPVd_Aw030a.xvg
DOI: 10.25824/redu/0legrw
title: VKEETPVd_Aw020a.xvg
DOI: 10.25824/redu/mapsbd
title: VKEETPVd_Gw058a.xvg
DOI: 10.25824/redu/czazdh
title: VKEETPVd_Fw003g.xvg
DOI: 10.25824/redu/zmlk9u
title: VKEETPVd_Nw0020g.xvg
DOI: 10.25824/redu/wt8ppv
title: VKEETPVd_Aw005g.xvg
DOI: 10.25824/redu/s2h0rd
title: VKEETPVd_Pw005g.xvg
DOI: 10.25824/redu/75i9us
title: VKEETPVd_Vw0010g.xvg
DOI: 10.25824/redu/ckuywn
title: VKEETPVd_Qw005a.xvg
DOI: 10.25824/redu/1mfsnd
title: VKEETPVd_Sw065g.xvg
DOI: 10.25824/redu/2g8we5
title: VKEETPVd_Qw0020g.xvg
DOI: 10.25824/redu/e4gkz2
title: VKEETPVd_Hw0020a.xvg
DOI: 10.25824/redu/oy4iut
title: VKEETPVd_Vw0025a.xvg
DOI: 10.25824/redu/mampxx
title: VKEETPVd_Dw0015g.xvg
DOI: 10.25824/redu/mg2pm7
title: VKEETPVd_Gw005a.xvg
DOI: 10.25824/redu/ik1w3y
title: VKEETPVd_Lw0006a.xvg
DOI: 10.25824/redu/wwirac
title: VKEETPVd_Cw005a.xvg
DOI: 10.25824/redu/pcgg3w
title: VKEETPVd_Iw0020a.xvg
DOI: 10.25824/redu/tolsaj
title: VKEETPVd_Sw010g.xvg
DOI: 10.25824/redu/2ajfw6
title: VKEETPVd_Mw006a.xvg
DOI: 10.25824/redu/btxjzu
title: VKEETPVd_Dw0006g.xvg
DOI: 10.25824/redu/wiy1ss
title: VKEETPVd_Dw0010g.xvg
DOI: 10.25824/redu/rf5pik
title: VKEETPVd_Pw010g.xvg
DOI: 10.25824/redu/ourkqk
title: VKEETPVd_Kw0006g.xvg
DOI: 10.25824/redu/imyq5l
title: VKEETPVd_Qw0010g.xvg
DOI: 10.25824/redu/7sbht2
title: VKEETPVd_Aw010g.xvg
DOI: 10.25824/redu/xdofaf
title: VKEETPVd_Kw0025a.xvg
DOI: 10.25824/redu/lwbmu8
title: VKEETPVd_Iw003g.xvg
DOI: 10.25824/redu/ldjptx
title: VKEETPVd_Mw003a.xvg
DOI: 10.25824/redu/xej83w
title: VKEETPVd_Hw0010a.xvg
DOI: 10.25824/redu/danrfd
title: VKEETPVd_Rw0006a.xvg
DOI: 10.25824/redu/yhd4hv
title: VKEETPVd_Hw005g.xvg
DOI: 10.25824/redu/xe2s0b
title: VKEETPVd_Fw0010a.xvg
DOI: 10.25824/redu/ymsrat
title: VKEETPVd_Aw020g.xvg
DOI: 10.25824/redu/w2dpi7
title: VKEETPVd_Vw012a.xvg
DOI: 10.25824/redu/uhks62
title: VKEETPVd_Dw0010a.xvg
DOI: 10.25824/redu/6kigot
title: VKEETPVd_Gw025g.xvg
DOI: 10.25824/redu/hovk81
title: VKEETPVd_Rw005g.xvg
DOI: 10.25824/redu/oy6ndm
title: VKEETPVd_Lw0010g.xvg
DOI: 10.25824/redu/msfnsc
title: VKEETPVd_Cw003a.xvg
DOI: 10.25824/redu/113trp
title: VKEETPVd_Qw0010a.xvg
DOI: 10.25824/redu/p6o2fe
title: VKEETPVd_Kw0010g.xvg
DOI: 10.25824/redu/p9gskl
title: VKEETPVd_Ww0004a.xvg
DOI: 10.25824/redu/67b9lj
title: VKEETPVd_Mw0010a.xvg
DOI: 10.25824/redu/ko1ehg
title: VKEETPVd_Rw0010g.xvg
DOI: 10.25824/redu/oyltrk
title: VKEETPVd_Pw005a.xvg
DOI: 10.25824/redu/qnknaa
title: VKEETPVd_Mw003g.xvg
DOI: 10.25824/redu/z1qepa
title: VKEETPVd_Gw058g.xvg
DOI: 10.25824/redu/deqlv0
title: VKEETPVd_Ew0020a.xvg
DOI: 10.25824/redu/a3lyqj
title: VKEETPVd_Iw0020g.xvg
DOI: 10.25824/redu/rccacl
title: VKEETPVd_Ww0002a.xvg
DOI: 10.25824/redu/ipbzbr
title: VKEETPVd_Gw025a.xvg
DOI: 10.25824/redu/4aaczw
title: VKEETPVd_Nw0015a.xvg
DOI: 10.25824/redu/v1pgup
title: VKEETPVd_Nw0020a.xvg
DOI: 10.25824/redu/gvtfsl
title: VKEETPVd_Cw010a.xvg
DOI: 10.25824/redu/saspdn
title: VKEETPVd_Lw0015g.xvg
DOI: 10.25824/redu/6scvv4
title: VKEETPVd_Pw050a.xvg
DOI: 10.25824/redu/40o7hi
title: VKEETPVd_Hw0020g.xvg
DOI: 10.25824/redu/vrnmsk
title: VKEETPVd_Vw012g.xvg
DOI: 10.25824/redu/oxkiws
title: VKEETPVd_Kw0025g.xvg
DOI: 10.25824/redu/gme63l
title: VKEETPVd_Lw003g.xvg
DOI: 10.25824/redu/8tdtec
title: VKEETPVd_Vw0025g.xvg
DOI: 10.25824/redu/eph25c
title: VKEETPVd_Ew003g.xvg
DOI: 10.25824/redu/drqu9y
title: VKEETPVd_Mw0010g.xvg
DOI: 10.25824/redu/ie14ie
title: VKEETPVd_Cw005g.xvg
DOI: 10.25824/redu/muegrl
title: VKEETPVd_Yw00002g.xvg
DOI: 10.25824/redu/jdvd0n
title: VKEETPVd_Ww0006g.xvg
DOI: 10.25824/redu/k7wusa
title: README.txt
DOI: 10.25824/redu/prwybw
title: VKEETPVd_Ww00050g.xvg
DOI: 10.25824/redu/vmcjt9
title: VKEETPVd_Ww00080g.xvg
DOI: 10.25824/redu/douuio
title: VKEETPVd_water.xvg
DOI: 10.25824/redu/npz9jc
title: npt_Yw00005g.edr
DOI: 10.25824/redu/oovo1q
title: VKEETPVd_Ww00050o.xvg
DOI: 10.25824/redu/5zo5n3
title: VKEETPVd_Aw010c.xvg
DOI: 10.25824/redu/sf85vi
title: VKEETPVd_Aw005c.xvg
DOI: 10.25824/redu/blvlh6
title: npt_water.edr
DOI: 10.25824/redu/uext04
title: VKEETPVd_Ww00120g.xvg
DOI: 10.25824/redu/fquvpm
title: VKEETPVd_Aw030c.xvg
DOI: 10.25824/redu/jh9hev
title: npt_Vw012g.edr
DOI: 10.25824/redu/uv0ei1
title: VKEETPVd_Ww00070g.xvg
DOI: 10.25824/redu/txovtt
title: VKEETPVd_Aw020c.xvg
DOI: 10.25824/redu/puuixp
title: npt_Yw00003c.edr
DOI: 10.25824/redu/a28jup
title: npt_Vw005g.edr
DOI: 10.25824/redu/uotirz
title: npt_Yw00002g.edr
DOI: 10.25824/redu/thbrhd
title: VKEETPVd_Cw025c.xvg
DOI: 10.25824/redu/ajj9us
title: npt_Ww00080g.edr
DOI: 10.25824/redu/c2ahe9
title: VKEETPVd_Cw005c.xvg
DOI: 10.25824/redu/ai2ssf
title: npt_Ww00070c.edr
DOI: 10.25824/redu/qtrkd9
title: VKEETPVd_Cw010c.xvg
DOI: 10.34740/kaggle/dsv/3304511
title: COVID Vaccination in World (updated daily)
DOI: 10.25824/redu/eoszah
title: VKEETPVd_Dw0013c.xvg
DOI: 10.25824/redu/uzhicp
title: VKEETPVd_Dw0027c.xvg
DOI: 10.25824/redu/2brpy9
title: VKEETPVd_Ew0027c.xvg
DOI: 10.25824/redu/qzpwoy
title: npt_Ww00080c.edr
DOI: 10.25824/redu/i0zz3b
title: VKEETPVd_Ew0017c.xvg
DOI: 10.25824/redu/9bczlj
title: VKEETPVd_Cw003c.xvg
DOI: 10.25824/redu/53qak2
title: npt_Yw00003g.edr
DOI: 10.25824/redu/r3t38l
title: VKEETPVd_Fw0030c.xvg
DOI: 10.25824/redu/6aahzj
title: npt_Vw003g.edr
DOI: 10.25824/redu/qfhc5i
title: npt_Ww00050c.edr
DOI: 10.25824/redu/mzgczm
title: VKEETPVd_Fw0025c.xvg
DOI: 10.25824/redu/ewiic3
title: npt_Yw00004c.edr
DOI: 10.25824/redu/zdvovk
title: VKEETPVd_Dw0010c.xvg
DOI: 10.25824/redu/k9rlrh
title: VKEETPVd_Fw0015c.xvg
DOI: 10.25824/redu/rjh99q
title: npt_Vw009g.edr
DOI: 10.25824/redu/t5nrl5
title: npt_Tw014g.edr
DOI: 10.25824/redu/xkmhga
title: VKEETPVd_Ew0033c.xvg
DOI: 10.25824/redu/oymz7e
title: VKEETPVd_Gw005c.xvg
DOI: 10.25824/redu/s3cfpu
title: VKEETPVd_Gw058c.xvg
DOI: 10.25824/redu/5fezkz
title: npt_Ww00120g.edr
DOI: 10.25824/redu/9vebrs
title: npt_Yw00004g.edr
DOI: 10.25824/redu/comshi
title: npt_Tw006g.edr
DOI: 10.25824/redu/senjqs
title: VKEETPVd_Gw010c.xvg
DOI: 10.25824/redu/awktab
title: npt_Tw010g.edr
DOI: 10.25824/redu/rovqf3
title: npt_Yw00002c.edr
DOI: 10.25824/redu/9kxhjj
title: VKEETPVd_Gw025c.xvg
DOI: 10.25824/redu/nmh3mg
title: VKEETPVd_Hw0035c.xvg
DOI: 10.25824/redu/4kzvll
title: npt_Ww00070g.edr
DOI: 10.25824/redu/dpndzu
title: VKEETPVd_Iw0020c.xvg
DOI: 10.25824/redu/94l7mk
title: VKEETPVd_Kw0020c.xvg
DOI: 10.25824/redu/qnalhr
title: VKEETPVd_Iw0015c.xvg
DOI: 10.25824/redu/oxle80
title: VKEETPVd_Fw0020c.xvg
DOI: 10.25824/redu/vbjqv4
title: npt_Ww00050g.edr
DOI: 10.25824/redu/wn62oq
title: VKEETPVd_Kw0015c.xvg
DOI: 10.25824/redu/kjmzri
title: VKEETPVd_Ew0010c.xvg
DOI: 10.25824/redu/61b2h4
title: VKEETPVd_Hw0050c.xvg
DOI: 10.25824/redu/wgc48h
title: npt_Ww00120c.edr
DOI: 10.25824/redu/xvhxxh
title: VKEETPVd_Hw0020c.xvg
DOI: 10.25824/redu/j5iknz
title: VKEETPVd_Hw0015c.xvg
DOI: 10.25824/redu/ff3khy
title: VKEETPVd_Nw0015c.xvg
DOI: 10.25824/redu/79qjz8
title: VKEETPVd_Kw0035c.xvg
DOI: 10.25824/redu/v8k3z8
title: VKEETPVd_Nw0020c.xvg
DOI: 10.25824/redu/jbqafc
title: VKEETPVd_Nw0025c.xvg
DOI: 10.25824/redu/kbxj9x
title: VKEETPVd_Nw0030c.xvg
DOI: 10.25824/redu/q5lt01
title: VKEETPVd_Kw0025c.xvg
DOI: 10.25824/redu/nhlg2a
title: VKEETPVd_Pw010c.xvg
DOI: 10.25824/redu/1jsrku
title: VKEETPVd_Pw025c.xvg
DOI: 10.25824/redu/pxbou6
title: VKEETPVd_Pw005c.xvg
DOI: 10.25824/redu/q6gnha
title: VKEETPVd_Iw0045c.xvg
DOI: 10.25824/redu/ix71lx
title: VKEETPVd_Pw050c.xvg
DOI: 10.6084/m9.figshare.19361390
title: dataset.zip

description: A books dataset for Paragraph-level attention based deep model for chapter segmentation
DOI: 10.25824/redu/jptmjx
title: VKEETPVd_Sw005c.xvg
DOI: 10.25824/redu/8sv6rd
title: VKEETPVd_Dw0020c.xvg
DOI: 10.25824/redu/k71s8a
title: npt_Rw0035g.edr
DOI: 10.25824/redu/piawzt
title: npt_Qw0035g.edr
DOI: 10.25824/redu/3cfe47
title: npt_Pw050g.edr
DOI: 10.25824/redu/rbnooh
title: VKEETPVd_Tw014c.xvg
DOI: 10.25824/redu/vcgxav
title: VKEETPVd_Iw0030c.xvg
DOI: 10.25824/redu/vtrxer
title: npt_Sw065g.edr
DOI: 10.25824/redu/zdkwba
title: VKEETPVd_Sw065c.xvg
DOI: 10.25824/redu/agpafe
title: VKEETPVd_Tw006c.xvg
DOI: 10.25824/redu/pqx5u8
title: VKEETPVd_Tw003c.xvg
DOI: 10.25824/redu/t9xtci
title: npt_Tw003g.edr
DOI: 10.25824/redu/z4tnyy
title: VKEETPVd_Sw025c.xvg
DOI: 10.25824/redu/3m1nld
title: npt_Qw0015g.edr
DOI: 10.25824/redu/y5zf1r
title: npt_Rw0015g.edr
DOI: 10.25824/redu/g761jz
title: VKEETPVd_Tw010c.xvg
DOI: 10.25824/redu/jwbwql
title: npt_Mw0030g.edr
DOI: 10.25824/redu/rzmiwi
title: npt_Nw0020g.edr
DOI: 10.25824/redu/3n7iun
title: VKEETPVd_Vw003c.xvg
DOI: 10.25824/redu/wlb9zy
title: npt_Pw025g.edr
DOI: 10.26165/juelich-data/njjzpl
title: Data used in: Lifting the Spin-Momentum Locking in Ultra-Thin Topological Insulator Films

description: We provide here the raw data used to produce the figures in the publication Leis et al. Adv. Quantum Technol., 2021, 2100083, DOI: 10.1002/qute.202100083. Fig_2a.stp, Fig_S1a.stp, Fig_S1b.stp, Fig_S1c.stp, Fig_S1e.stp, Fig_S2a.stp, Fig_S2b1.stp, Fig_S2b2.stp: Scanning tunneling microscopy data as acquired, used to produce figures 2a, 2c, S1a, S1b, S1c, S1d, S1e, S2a, S2b, S2c, S2d. WSxM format. Fig_3a.dat, Fig_3b.dat, Fig_4.dat: Data used to produce figures 3a, 3b, 4. ASCII format. Fig_2b.png, Fig_S3a2.png: Optical microscopy data used to produce figures 2b, S3a.
DOI: 10.25824/redu/y3njlf
title: VKEETPVd_Vw005c.xvg
DOI: 10.25824/redu/md7j31
title: npt_Sw005g.edr
DOI: 10.25824/redu/kjqv93
title: VKEETPVd_Vw009c.xvg
DOI: 10.25824/redu/ptusda
title: npt_Rw0025g.edr
DOI: 10.25824/redu/rt6c0y
title: npt_Lw0030g.edr
DOI: 10.25824/redu/hxzaju
title: npt_Pw010g.edr
DOI: 10.25824/redu/eku7om
title: npt_Nw0030g.edr
DOI: 10.25824/redu/vg8ymp
title: VKEETPVd_Yw00004o.xvg
DOI: 10.25824/redu/06lazk
title: VKEETPVd_Vw005o.xvg
DOI: 10.25824/redu/gm1r4v
title: VKEETPVd_Ww00080o.xvg
DOI: 10.25824/redu/luxyxi
title: VKEETPVd_Vw012c.xvg
DOI: 10.25824/redu/99kosc
title: VKEETPVd_Yw00005o.xvg
DOI: 10.25824/redu/jqzail
title: VKEETPVd_Yw00002o.xvg
DOI: 10.25824/redu/dhjq4j
title: npt_Pw005g.edr
DOI: 10.25824/redu/7s4y5m
title: VKEETPVd_Vw009o.xvg
DOI: 10.25824/redu/8c5rxp
title: VKEETPVd_Yw00003o.xvg
DOI: 10.25824/redu/jjqc4k
title: VKEETPVd_Ww00120o.xvg
DOI: 10.25824/redu/64ypd3
title: npt_Mw0065g.edr
DOI: 10.25824/redu/moyocf
title: VKEETPVd_Tw014o.xvg
DOI: 10.48370/ofd/ovoz8c/tnmop9
title: 2408_1.S3Dm

description: :unav
DOI: 10.25824/redu/vs81vl
title: npt_Sw025g.edr
DOI: 10.48370/ofd/ovoz8c/vkxuin
title: 2408_2.S3Dm

description: :unav
DOI: 10.25824/redu/q3fyfx
title: VKEETPVd_Tw010o.xvg
DOI: 10.48370/ofd/ovoz8c
title: Coniophora arida (Fr.) P.Karst., 2408

description: Fungarium Macromycetes
DOI: 10.25824/redu/awwhl7
title: npt_Qw0050g.edr
DOI: 10.25824/redu/xrgnb1
title: VKEETPVd_Vw012o.xvg
DOI: 10.25824/redu/ow7bnu
title: VKEETPVd_Vw003o.xvg
DOI: 10.25824/redu/nnvyp4
title: npt_Mw0015g.edr
DOI: 10.25824/redu/9cw03o
title: VKEETPVd_Ww00070o.xvg
DOI: 10.25824/redu/yczz4r
title: npt_Sw010g.edr
DOI: 10.25824/redu/qqosq0
title: npt_Mw0045g.edr
DOI: 10.25824/redu/c7l5pe
title: npt_Nw0015g.edr
DOI: 10.25824/redu/exvrpt
title: npt_Lw0025g.edr
DOI: 10.25824/redu/89orv9
title: VKEETPVd_Sw065o.xvg
DOI: 10.25824/redu/7dswv4
title: npt_Lw0020g.edr
DOI: 10.25824/redu/y6ymfs
title: npt_Iw0045g.edr
DOI: 10.25824/redu/7mr0b5
title: npt_Hw0035g.edr
DOI: 10.25824/redu/wm6kqf
title: npt_Iw0015g.edr
DOI: 10.25824/redu/yierp8
title: npt_Yw00005c.edr
DOI: 10.25824/redu/bim5ah
title: npt_Gw005g.edr
DOI: 10.25824/redu/ogf2xw
title: npt_Fw0025g.edr
DOI: 10.25824/redu/uqowqu
title: VKEETPVd_Sw025o.xvg
DOI: 10.25824/redu/shb1qi
title: npt_Qw0020g.edr
DOI: 10.25824/redu/lye8xd
title: npt_Lw0015g.edr
DOI: 10.25824/redu/b60bd0
title: npt_Kw0035g.edr
DOI: 10.25824/redu/8eb6kn
title: VKEETPVd_Tw003o.xvg
DOI: 10.25824/redu/4mnqkn
title: VKEETPVd_Sw010c.xvg
DOI: 10.25824/redu/q5wmw2
title: VKEETPVd_Tw006o.xvg
DOI: 10.25824/redu/k7ip2w
title: VKEETPVd_Sw010o.xvg
DOI: 10.25824/redu/oloy2q
title: npt_Ew0033g.edr
DOI: 10.25824/redu/pddvqz
title: VKEETPVd_Sw005o.xvg
DOI: 10.25824/redu/ngvagd
title: VKEETPVd_Qw0015o.xvg
DOI: 10.25824/redu/7uxhcb
title: VKEETPVd_Rw0020o.xvg
DOI: 10.25824/redu/unx0un
title: VKEETPVd_Qw0050o.xvg
DOI: 10.25824/redu/jwh5z6
title: VKEETPVd_Qw0035o.xvg
DOI: 10.25824/redu/m62yrx
title: npt_Fw0015g.edr
DOI: 10.25824/redu/tyaqu5
title: VKEETPVd_Qw0020o.xvg
DOI: 10.25824/redu/o6h7ek
title: VKEETPVd_Rw0035o.xvg
DOI: 10.25824/redu/jv08ph
title: VKEETPVd_Rw0015o.xvg
DOI: 10.25824/redu/clhi5c
title: VKEETPVd_Pw050o.xvg
DOI: 10.25824/redu/m0hand
title: npt_Fw0020g.edr
DOI: 10.25824/redu/67h87a
title: npt_Gw010g.edr
DOI: 10.25824/redu/2wl396
title: VKEETPVd_Pw005o.xvg
DOI: 10.25824/redu/comsie
title: npt_Gw058g.edr
DOI: 10.25824/redu/ydlrgk
title: npt_Hw0015g.edr
DOI: 10.25824/redu/mzuyia
title: VKEETPVd_Pw025o.xvg
DOI: 10.26165/juelich-data/cx10eo
title: Data for: In-plane magnetic field-driven symmetry breaking in topological insulator-based three-terminal junctions

description: This data set includes the raw data of the three-terminal junction current measurements and the Python source code (incl. a Jupyter notebook) for the quantum transport simulations (based on Kwant) that (re)produce the results presented in Figs. S4-S9.
DOI: 10.25824/redu/guoszg
title: VKEETPVd_Nw0030o.xvg
DOI: 10.25824/redu/xuifnb
title: npt_Fw0030g.edr
DOI: 10.25824/redu/702jkc
title: VKEETPVd_Pw010o.xvg
DOI: 10.25824/redu/vpgteh
title: VKEETPVd_Mw0015o.xvg
DOI: 10.25824/redu/sxnr69
title: npt_Kw0015g.edr
DOI: 10.25824/redu/yixffx
title: VKEETPVd_Mw0045o.xvg
DOI: 10.25824/redu/hiezes
title: VKEETPVd_Lw0015o.xvg
DOI: 10.25824/redu/linncj
title: VKEETPVd_Mw0065o.xvg
DOI: 10.25824/redu/jusb64
title: npt_Iw0030g.edr
DOI: 10.25824/redu/cjl8bg
title: VKEETPVd_Nw0025o.xvg
DOI: 10.25824/redu/vh1w9f
title: npt_Kw0020g.edr
DOI: 10.25824/redu/gry5uu
title: VKEETPVd_Lw0025o.xvg
DOI: 10.25824/redu/jggwab
title: npt_Gw025g.edr
DOI: 10.25824/redu/ypzwio
title: VKEETPVd_Nw0020o.xvg
DOI: 10.25824/redu/no2myt
title: VKEETPVd_Kw0020o.xvg
DOI: 10.25824/redu/1pw7fc
title: VKEETPVd_Lw0020o.xvg
DOI: 10.25824/redu/qubzsw
title: VKEETPVd_Ew0027o.xvg
DOI: 10.25824/redu/1aebil
title: VKEETPVd_Rw0025o.xvg
DOI: 10.25824/redu/d1vutf
title: VKEETPVd_Nw0015o.xvg
DOI: 10.25824/redu/0vca2e
title: VKEETPVd_Dw0013o.xvg
DOI: 10.25824/redu/aukybg
title: VKEETPVd_Tw003g.xvg
DOI: 10.25824/redu/dryjdm
title: VKEETPVd_Tw006g.xvg
DOI: 10.25824/redu/6ixwgv
title: npt_Rw0015o.edr
DOI: 10.25824/redu/zmgocd
title: VKEETPVd_Sw065g.xvg
DOI: 10.25824/redu/wu9zzo
title: VKEETPVd_Sw025g.xvg
DOI: 10.25824/redu/nosw3y
title: VKEETPVd_Rw0035g.xvg
DOI: 10.25824/redu/ixh4oc
title: VKEETPVd_Qw0035g.xvg
DOI: 10.26165/juelich-data/2grspn
title: Data and octave codes for: Derivation of an Improved Semi-empirical Expression for the Re-ionisation Background in Low Energy Ion Scattering Spectra

description: This repository provides the raw data, the fitting results, and the GNU octave codes used for the low energy ion scattering spectra fits (figures 1, 7 and 8) in the publication H. R. Koslowski and Ch. Linsmeier 2021 "Derivation of an Improved Semi-empirical Expression for the Re-ionisation Background in Low Energy Ion Scattering Spectra" IOP SciNotes 2 035206 https://doi.org/10.1088/2633-1357/ac25e8.
DOI: 10.25824/redu/oiunbp
title: VKEETPVd_Nw0025g.xvg
DOI: 10.25824/redu/vg5ssc
title: VKEETPVd_Pw025g.xvg
DOI: 10.25824/redu/hhrlpr
title: VKEETPVd_Lw0015g.xvg
DOI: 10.25824/redu/v2pilu
title: npt_Qw0035o.edr
DOI: 10.25824/redu/fkoy8p
title: VKEETPVd_Lw0030g.xvg
DOI: 10.25824/redu/k9bhas
title: npt_Kw0020c.edr
DOI: 10.25824/redu/h29z9r
title: npt_Gw010c.edr
DOI: 10.25824/redu/wcav5q
title: VKEETPVd_Rw0015c.xvg
DOI: 10.25824/redu/r5wau1
title: VKEETPVd_Kw0015g.xvg
DOI: 10.25824/redu/7sjoe4
title: VKEETPVd_Kw0020g.xvg
DOI: 10.25824/redu/rerfuk
title: VKEETPVd_Hw0020g.xvg
DOI: 10.25824/redu/nkml0v
title: VKEETPVd_Mw0065c.xvg
DOI: 10.25824/redu/2hydy5
title: VKEETPVd_Cw025g.xvg
DOI: 10.25824/redu/lyu5oa
title: VKEETPVd_Hw0015g.xvg
DOI: 10.25824/redu/7jwtvh
title: VKEETPVd_Fw0030g.xvg
DOI: 10.25824/redu/nngjsm
title: VKEETPVd_Yw00004c.xvg
DOI: 10.25824/redu/r0nf6w
title: VKEETPVd_Rw0035c.xvg
DOI: 10.25824/redu/bcoc77
title: npt_Aw020g.edr
DOI: 10.25824/redu/wffa1w
title: Molecular dynamics simulations results of the standard amino acids in aqueous solutions

description: Molecular Dynamics simulation results are given in the .xvg files. File names codify the system investigated: - The "VKEETPVd_" stands for the variables: Potential Energy (kJ/mol) Kinetic Energy (kJ/mol) Total Energy (kJ/mol) Conserved Energy (kJ/mol) Temperature (K) Pressure (bar) Volume (nm^3) Density (kg/m^3) - The uppercase letter stands for the amino acid in the mixture and it follows standard abbreviation. - "w" stands for the water, which is the solvent. - Next, there is a set of numbers, which specify the mole fraction composition. In this case, they are the digits after the decimal separator. - Last, the letters "a" or "g" were used to identify the force field used to model the amino acids. "a" stands for the OPLS-AA/M and "g" for the GROMOS 54A7. Example: VKEETPVd_Lw0010a.xvg contains the GROMACS' output data for NPT simulation of aqueous Leucine with 0.0010 mole fraction using OPLS-AA/M force field. We considered only the production data (5 to 10 ns). Standard Amino Acids Abbreviation: G = Glycine A = Alanine V = Valine L = Leucine I = Isoleucine P = Proline F = Phenylalanine Y = Tyrosine W = Tryptophan S = Serine T = Threonine C = Cysteine M = Methionine N = Asparagine Q = Glutamine D = Aspartic Acid (In this work, modeled in the form of Sodium salt) E = Glutamic Acid (In this work, modeled in the form of Sodium salt) K = Lysine (In this work, modeled in the form of Monohydrochloride salt) R = Arginine (In this work, modeled in the form of Monohydrochloride salt) H = Histidine EXCEPTIONS: For pure water simulations were simply named "water".
DOI: 10.26165/juelich-data/mgryjv
title: Imaging of cerebral tryptophan metabolism using 7-[18F]FTrp-PET in a unilateral Parkinsonian rat model

description: Data used for the publication "Imaging of cerebral tryptophan metabolism using 7-[18F]FTrp-PET in a unilateral Parkinsonian rat model". Raw data of [18F]FTrp-PET and [18F]FDOPA-PET.
DOI: 10.21227/pz6t-3s77
title: Photovoltaic cell anomaly detection dataset

description: The anomaly detection in photovoltaic (PV) cell electroluminescence (EL) image is of great significance for the vision-based fault diagnosis. Many researchers are committed to solving this problem, but a large-scale open-world dataset is required to validate their novel ideas. We build a PV EL Anomaly Detection (PVEL-AD) dataset for polycrystalline solar cell, which contains 36,543 near-infrared images with various internal defects and heterogeneous background. This dataset contains anomaly-free images and anomalous images with 10 different categories. Moreover, 37,380 ground truth bounding boxes are provided for 8 types of defects. We also carry out a comprehensive evaluation of the state-of-the-art object detection methods based on deep learning. The evaluation results on this dataset provide the initial benchmark, which is convenient for follow-up researchers to conduct experimental comparisons. To the best of our knowledge, this is the first public dataset for PV solar cell anomaly detection that provides box-wise ground truth and focuses on industrial application. Furthermore, this dataset can also be used for the evaluation of many computer vision tasks such as few-shot detection, one-class classification and anomaly generation. More details are presented in https://github.com/binyisu/PVEL-AD
DOI: 10.5281/zenodo.6359295
title: Test datasets for segmentation (2D, 3D, timelapses)

description: Datasets for testing: 1) Arabidopsis in 3D with membrane labelling for testing Unet, Stardist and denoising models. 2) Ascadian embryo in 3D imaged via light sheet for testing Unet and Stardist models. 3) Carcinoma cells 3D + time data imaged under low SNR conditions for testing Unet, Stardist and Denoising models. 4) Tissue in 2D + time for testing Unet models. Data imaged by Mari Tolonen at the University of Copenhagen. 5) Nuclei in 3D. Raw, GT and model prediction. Data imaged by Mari Tolonen at the University of Copenhagen.
description: Supported by Grant#: 2021-240715(5022) from Chan Zuckerberg Innitiative and Silicon Valley community foundation.
DOI: 10.5281/zenodo.6359349
title: Test datasets for segmentation (2D, 3D, timelapses)

description: Datasets for testing: 1) Arabidopsis in 3D with membrane labelling for testing Unet, Stardist and denoising models. 2) Ascadian embryo in 3D imaged via light sheet for testing Unet and Stardist models. 3) Carcinoma cells 3D + time data imaged under low SNR conditions for testing Unet, Stardist and Denoising models. 4) Tissue in 2D + time for testing Unet models. Data imaged by Mari Tolonen at the University of Copenhagen. 5) Nuclei in 3D. Raw, GT and model prediction. Data imaged by Mari Tolonen at the University of Copenhagen. 6) Nuclei cell mask 2D. Raw, GT and model prediction. Data imaged by Mari Tolonen at the University of Copenhagen
description: Supported by Grant#: 2021-240715(5022) from Chan Zuckerberg Innitiative and Silicon Valley community foundation.
DOI: 10.5281/zenodo.5749998
title: Opposite effects of stress on effortful motivation in high and low anxiety are mediated by CRHR1 in the VTA

description: Rat DNA sequencing data
DOI: 10.5281/zenodo.5749997
title: Opposite effects of stress on effortful motivation in high and low anxiety are mediated by CRHR1 in the VTA

description: Rat DNA sequencing data