cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/hjgj2a/qqihdq
title: 20190809141314263_wifi_33_180_015_g6_LGM-G600L.tab

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DOI: 10.7910/dvn/hjgj2a/z5nwi2
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DOI: 10.7910/dvn/hjgj2a/38rmye
title: 20190809112127382_wifi_33_179_008_g6_LGM-G600L.tab

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DOI: 10.7910/dvn/hjgj2a/bnwyo8
title: 20190809115134645_wifi_33_187_001_chanseok_SM-G950N.tab

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DOI: 10.7910/dvn/hjgj2a/guq3qn
title: 20190809143017699_wifi_33_185_006_g6_LGM-G600L.tab

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DOI: 10.7910/dvn/hjgj2a/lakjfi
title: 20190809133131255_wifi_33_177_020_chanseok2_SM-G950N.tab

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DOI: 10.7910/dvn/hjgj2a/m9snlk
title: 20190809121051677_wifi_33_189_008_g6_LGM-G600L.tab

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DOI: 10.7910/dvn/hjgj2a/ok2imi
title: 20190809120720785_wifi_33_188_010_g6_LGM-G600L.tab

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DOI: 10.7910/dvn/hjgj2a/owprsg
title: 20190809114055399_wifi_33_182_008_g6_LGM-G600L.tab

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DOI: 10.7910/dvn/hjgj2a/qdibae
title: 20190809141110708_wifi_33_188_004_chanseok2_SM-G950N.tab

description: :unav
DOI: 10.7910/dvn/hjgj2a/zhvm07
title: 20190809135611248_wifi_33_182_020_chanseok2_SM-G950N.tab

description: :unav
DOI: 10.7910/dvn/hjgj2a/g1npqp
title: 20190809135350457_wifi_33_182_009_chanseok2_SM-G950N.tab

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DOI: 10.7910/dvn/hjgj2a/gutgzm
title: 20190809115619032_wifi_33_186_006_g6_LGM-G600L.tab

description: :unav
DOI: 10.7910/dvn/hjgj2a/jkzaxf
title: 20190809141149914_wifi_33_188_007_chanseok2_SM-G950N.tab

description: :unav
DOI: 10.7910/dvn/hjgj2a/ly9n9t
title: 20190809115440789_wifi_33_186_001_g6_LGM-G600L.tab

description: :unav
DOI: 10.7910/dvn/hjgj2a/pv1cvy
title: 20190809143631909_wifi_33_186_010_g6_LGM-G600L.tab

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DOI: 10.7910/dvn/hjgj2a/qtfwya
title: 20190809110902880_wifi_33_177_015_g6_LGM-G600L.tab

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DOI: 10.7910/dvn/hjgj2a/sy3ms7
title: 20190809134645399_wifi_33_181_001_chanseok2_SM-G950N.tab

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DOI: 10.7910/dvn/hjgj2a/tjbsmm
title: 20190809113943123_wifi_33_182_004_g6_LGM-G600L.tab

description: :unav
DOI: 10.17632/pdmk4kr5yg.2
title: Data for: Dynamic Preventive Maintenance Method of MMC Considering Multi-Term Thermal Cycles

description: The data I upload contains the parameters of thermal network of IGBT and Diode, hybrid MMC system and wind turbine.
DOI: 10.7910/dvn/hjgj2a/0srsmo
title: 20190809141241265_wifi_33_188_011_chanseok2_SM-G950N.tab

description: :unav
DOI: 10.7910/dvn/hjgj2a/1juvua
title: 20190809140816923_wifi_33_187_008_chanseok2_SM-G950N.tab

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DOI: 10.7910/dvn/hjgj2a/54wb6a
title: 20190809133118604_wifi_33_177_019_chanseok2_SM-G950N.tab

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DOI: 10.7910/dvn/hjgj2a/c2lpeb
title: 20190809111654588_wifi_33_179_008_chanseok_SM-G950N.tab

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DOI: 10.7910/dvn/hjgj2a/gd8drz
title: 20190809111639771_wifi_33_179_007_chanseok_SM-G950N.tab

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DOI: 10.7910/dvn/hjgj2a/hxrgzy
title: 20190809142831600_wifi_33_184_004_g6_LGM-G600L.tab

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DOI: 10.7910/dvn/hjgj2a/lt5ohf
title: 20190809142231740_wifi_33_182_003_g6_LGM-G600L.tab

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DOI: 10.7910/dvn/hjgj2a/rodjb3
title: 20190809112637537_wifi_33_180_009_g6_LGM-G600L.tab

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DOI: 10.7910/dvn/hjgj2a/ugjfvc
title: 20190809115926957_wifi_33_187_001_g6_LGM-G600L.tab

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DOI: 10.7910/dvn/hjgj2a/2dir0b
title: 20190809132100419_wifi_33_175_007_chanseok2_SM-G950N.tab

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DOI: 10.7910/dvn/hjgj2a/ce51nr
title: 20190809134136074_wifi_33_180_002_chanseok2_SM-G950N.tab

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DOI: 10.7910/dvn/hjgj2a/fmv4fn
title: 20190809115857451_wifi_33_188_012_chanseok_SM-G950N.tab

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DOI: 10.7910/dvn/hjgj2a/kpenab
title: 20190809112251152_wifi_33_180_009_chanseok_SM-G950N.tab

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DOI: 10.7910/dvn/hjgj2a/oindly
title: 20190809133621473_wifi_33_183_002_chanseok2_SM-G950N.tab

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DOI: 10.7910/dvn/hjgj2a/otf5nw
title: 20190809111245882_wifi_33_178_005_g6_LGM-G600L.tab

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DOI: 10.7910/dvn/hjgj2a/rosm9o
title: 20190809111535501_wifi_33_179_003_chanseok_SM-G950N.tab

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DOI: 10.7910/dvn/hjgj2a/xfhqnp
title: 20190809144205074_wifi_33_188_001_g6_LGM-G600L.tab

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DOI: 10.7910/dvn/hjgj2a/yx2n4q
title: 20190809113424460_wifi_33_181_011_g6_LGM-G600L.tab

description: :unav
DOI: 10.17632/rwb9ckf6tb.4
title: Data for: A generalized statistical framework to assess mixing ability from incomplete mixing designs using binary or higher order variety mixtures and application to wheat

description: Data for the mixture experiment and the R program to perform mixing ability analysis.
DOI: 10.25606/surf.578c6039-d56bbb61
title: The Cosmogrid Simulation: Statistical Properties of Small Dark Matter Halos (2048-175)

description: We present the results of the "Cosmogrid" cosmological N-body simulation suites based on the concordance LCDM model. The Cosmogrid simulation was performed in a 30 Mpc box with 2048³ particles. The mass of each particle is 1.28x10^5 Msun, which is sufficient to resolve ultra-faint dwarfs. We found that the halo mass function shows good agreement with the Sheth & Tormen fitting function down to ~10^7 Msun. We have analyzed the spherically averaged density profiles of the three most massive halos which are of galaxy group size and contain at least 170 million particles. The slopes of these density profiles become shallower than -1 at the inner most radius. We also find a clear correlation of halo concentration with mass. The mass dependence of the concentration parameter cannot be expressed by a single power law, however a simple model based on the Press-Schechter theory proposed by Navarro et al. gives reasonable agreement with this dependence. The spin parameter does not show a correlation with the halo mass. The probability distribution functions for both concentration and spin are well fitted by the log-normal distribution for halos with the masses larger than ~10^8 Msun. The subhalo abundance depends on the halo mass. Galaxy-sized halos have 50% more subhalos than ~10^11 Msun halos have. This is snapshot 175 of the 2048³ resolution collection.
DOI: 10.7910/dvn/hjgj2a/5olegr
title: 20190809114438338_wifi_33_182_020_g6_LGM-G600L.tab

description: :unav
DOI: 10.7910/dvn/hjgj2a/eba4mm
title: 20190809132257820_wifi_33_175_016_chanseok2_SM-G950N.tab

description: :unav
DOI: 10.7910/dvn/hjgj2a/gkugvf
title: 20190809112843474_wifi_33_181_008_chanseok_SM-G950N.tab

description: :unav
DOI: 10.7910/dvn/hjgj2a/hlhjaz
title: 20190809110936759_wifi_33_177_017_g6_LGM-G600L.tab

description: :unav
DOI: 10.7910/dvn/hjgj2a/kumbcj
title: 20190809141513031_wifi_33_189_009_chanseok2_SM-G950N.tab

description: :unav
DOI: 10.7910/dvn/hjgj2a/neozxu
title: 20190809140802326_wifi_33_179_012_g6_LGM-G600L.tab

description: :unav
DOI: 10.7910/dvn/hjgj2a/qmwamy
title: 20190809140348714_wifi_33_183_002_g6_LGM-G600L.tab

description: :unav
DOI: 10.7910/dvn/hjgj2a/r2h7io
title: 20190809115149102_wifi_33_187_002_chanseok_SM-G950N.tab

description: :unav
DOI: 10.7910/dvn/hjgj2a/xjvsi0
title: 20190809110106037_wifi_33_176_002_g6_LGM-G600L.tab

description: :unav
DOI: 10.25606/surf.578c6039-0a4df6dc
title: The Cosmogrid Simulation: Statistical Properties of Small Dark Matter Halos (2048-572)

description: We present the results of the "Cosmogrid" cosmological N-body simulation suites based on the concordance LCDM model. The Cosmogrid simulation was performed in a 30 Mpc box with 2048³ particles. The mass of each particle is 1.28x10^5 Msun, which is sufficient to resolve ultra-faint dwarfs. We found that the halo mass function shows good agreement with the Sheth & Tormen fitting function down to ~10^7 Msun. We have analyzed the spherically averaged density profiles of the three most massive halos which are of galaxy group size and contain at least 170 million particles. The slopes of these density profiles become shallower than -1 at the inner most radius. We also find a clear correlation of halo concentration with mass. The mass dependence of the concentration parameter cannot be expressed by a single power law, however a simple model based on the Press-Schechter theory proposed by Navarro et al. gives reasonable agreement with this dependence. The spin parameter does not show a correlation with the halo mass. The probability distribution functions for both concentration and spin are well fitted by the log-normal distribution for halos with the masses larger than ~10^8 Msun. The subhalo abundance depends on the halo mass. Galaxy-sized halos have 50% more subhalos than ~10^11 Msun halos have. This is snapshot 572 of the 2048³ resolution collection.
DOI: 10.7910/dvn/hjgj2a/5a64qz
title: 20190809133003294_wifi_33_177_013_chanseok2_SM-G950N.tab

description: :unav
DOI: 10.7910/dvn/hjgj2a/5uvoln
title: 20190809134505800_wifi_33_180_017_chanseok2_SM-G950N.tab

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DOI: 10.7910/dvn/hjgj2a/8mkwib
title: 20190809133848022_wifi_33_179_006_chanseok2_SM-G950N.tab

description: :unav
DOI: 10.7910/dvn/hjgj2a/eg1mzk
title: 20190809112451592_wifi_33_180_003_g6_LGM-G600L.tab

description: :unav
DOI: 10.7910/dvn/hjgj2a/q12zpv
title: 20190809132950661_wifi_33_177_012_chanseok2_SM-G950N.tab

description: :unav
DOI: 10.7910/dvn/hjgj2a/qbu5il
title: 20190809143320084_wifi_33_185_018_g6_LGM-G600L.tab

description: :unav
DOI: 10.7910/dvn/hjgj2a/tdi6de
title: 20190809135858714_wifi_33_185_004_chanseok2_SM-G950N.tab

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DOI: 10.7910/dvn/hjgj2a/uxrik9
title: 20190809114205866_wifi_33_185_004_chanseok_SM-G950N.tab

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DOI: 10.7910/dvn/hjgj2a/2wpx0x
title: 20190809111225405_wifi_33_178_004_g6_LGM-G600L.tab

description: :unav
DOI: 10.7910/dvn/hjgj2a/a88gno
title: 20190809144318448_wifi_33_188_006_g6_LGM-G600L.tab

description: :unav
DOI: 10.7910/dvn/hjgj2a/ij3fp2
title: 20190809141426768_wifi_33_180_020_g6_LGM-G600L.tab

description: :unav
DOI: 10.7910/dvn/hjgj2a/kd5hjg
title: 20190809141102338_wifi_33_180_007_g6_LGM-G600L.tab

description: :unav
DOI: 10.7910/dvn/hjgj2a/lesve1
title: 20190809115813165_wifi_33_186_012_g6_LGM-G600L.tab

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DOI: 10.7910/dvn/hjgj2a/nphjpu
title: 20190809110919304_wifi_33_177_016_g6_LGM-G600L.tab

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DOI: 10.7910/dvn/hjgj2a/ntz5xq
title: 20190809144039460_wifi_33_187_012_g6_LGM-G600L.tab

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DOI: 10.7910/dvn/hjgj2a/r6louf
title: 20190809110446425_wifi_33_176_014_g6_LGM-G600L.tab

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DOI: 10.7910/dvn/hjgj2a/vzkyry
title: 20190809134612921_wifi_33_175_011_g6_LGM-G600L.tab

description: :unav
DOI: 10.5281/zenodo.3463675
title: DWD European Weather 2

description: opendata.dwd.de - OpenData by Deutscher Wetter Dienst Conditions: https://www.dwd.de/EN/service/copyright/copyright_node.html dates and times are UTC.
DOI: 10.7910/dvn/hjgj2a/1q9m3n
title: 20190809143954918_wifi_33_187_009_g6_LGM-G600L.tab

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DOI: 10.7910/dvn/hjgj2a/2royez
title: 20190809143754512_wifi_33_187_001_g6_LGM-G600L.tab

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DOI: 10.7910/dvn/hjgj2a/ebbscg
title: 20190809113138513_wifi_33_181_019_chanseok_SM-G950N.tab

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DOI: 10.7910/dvn/hjgj2a/myjbnj
title: 20190809120052918_wifi_33_189_004_chanseok_SM-G950N.tab

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DOI: 10.7910/dvn/hjgj2a/qkyrjr
title: 20190809140656512_wifi_33_187_002_chanseok2_SM-G950N.tab

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DOI: 10.7910/dvn/hjgj2a/tkraaz
title: 20190809135439918_wifi_33_182_013_chanseok2_SM-G950N.tab

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DOI: 10.17632/mdxvmvzfh9.1
title: Data for: Transcriptomics-based screening of molecular signatures associated with patients overall survival and their key regulators in subtypes of breast cancer

description: In the present study, we proposed a comprehensive data analysis and systems biology approach to explore molecular signatures which reduce the chance of patients overall survival and the possible mechanisms of their regulation by transcription factors (TFs) and microRNAs (miRNAs) in the main subtypes of breast tumor consist of Basal like, Her2 enriched, Luminal A and Luminal B breast cancer.
DOI: 10.7910/dvn/hjgj2a/3hyuyy
title: 20190809135929372_wifi_33_185_006_chanseok2_SM-G950N.tab

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DOI: 10.7910/dvn/hjgj2a/dcrdk9
title: 20190809134752984_wifi_33_181_006_chanseok2_SM-G950N.tab

description: :unav
DOI: 10.7910/dvn/hjgj2a/kaulpo
title: 20190809135831783_wifi_33_185_002_chanseok2_SM-G950N.tab

description: :unav
DOI: 10.7910/dvn/hjgj2a/o4dlln
title: 20190809113541456_wifi_33_182_011_chanseok_SM-G950N.tab

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DOI: 10.7910/dvn/hjgj2a/ot27z9
title: 20190809141243474_wifi_33_180_013_g6_LGM-G600L.tab

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DOI: 10.7910/dvn/hjgj2a/pdojvf
title: 20190809120217342_wifi_33_189_009_chanseok_SM-G950N.tab

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DOI: 10.7910/dvn/hjgj2a/x9ocv5
title: 20190809135246545_wifi_33_182_004_chanseok2_SM-G950N.tab

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DOI: 10.7910/dvn/hjgj2a/xctygr
title: 20190809140701686_wifi_33_179_008_g6_LGM-G600L.tab

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DOI: 10.7910/dvn/hjgj2a/xxr5kc
title: 20190809132336364_wifi_33_175_019_chanseok2_SM-G950N.tab

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DOI: 10.15785/sbgrid/686
title: Docking models of antibody-antigen complexes

description: Antibody-antigen docking models gathered for the article: "Modelling of antibody-antigen complexes by information-driven docking." F. Ambrosetti, B. Jimenez-Garcia, J. Roel-Touris, A.M.J.J. Bonvin. Jun 2019. Structure.
DOI: 10.5519/qd.8yl9cpuy
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (51 records)
DOI: 10.7910/dvn/hjgj2a/avwny6
title: 20190809132807231_wifi_33_177_004_chanseok2_SM-G950N.tab

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DOI: 10.7910/dvn/hjgj2a/copf8h
title: 20190809143939488_wifi_33_187_008_g6_LGM-G600L.tab

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DOI: 10.7910/dvn/hjgj2a/crh4op
title: 20190809143236083_wifi_33_185_015_g6_LGM-G600L.tab

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DOI: 10.7910/dvn/hjgj2a/hmvhy1
title: 20190809134448596_wifi_33_175_006_g6_LGM-G600L.tab

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DOI: 10.7910/dvn/hjgj2a/m0adtq
title: 20190809141647174_wifi_33_181_006_g6_LGM-G600L.tab

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DOI: 10.7910/dvn/hjgj2a/m6ifwz
title: 20190809115039796_wifi_33_186_013_chanseok_SM-G950N.tab

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DOI: 10.7910/dvn/hjgj2a/qfjebk
title: 20190809114404243_wifi_33_182_018_g6_LGM-G600L.tab

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DOI: 10.7910/dvn/hjgj2a/vjals4
title: 20190809135539471_wifi_33_177_009_g6_LGM-G600L.tab

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DOI: 10.7910/dvn/hjgj2a/7xuyj1
title: 20190809105855447_wifi_33_175_016_g6_LGM-G600L.tab

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DOI: 10.7910/dvn/hjgj2a/gynmk6
title: 20190809115730557_wifi_33_188_006_chanseok_SM-G950N.tab

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DOI: 10.7910/dvn/hjgj2a/k0he7d
title: 20190809110643213_wifi_33_177_007_g6_LGM-G600L.tab

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DOI: 10.7910/dvn/hjgj2a/mzv99x
title: 20190809120031577_wifi_33_189_003_chanseok_SM-G950N.tab

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DOI: 10.7910/dvn/hjgj2a/pqr2g9
title: 20190809115050364_wifi_33_185_010_g6_LGM-G600L.tab

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DOI: 10.7910/dvn/hjgj2a/pznzyd
title: 20190809121513339_wifi_33_191_002_g6_LGM-G600L.tab

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DOI: 10.7910/dvn/hjgj2a/tzp0jk
title: 20190809135124243_wifi_33_176_009_g6_LGM-G600L.tab

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DOI: 10.7910/dvn/hjgj2a/vdxikh
title: 20190809141228781_wifi_33_180_012_g6_LGM-G600L.tab

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DOI: 10.7910/dvn/hjgj2a/veu8lw
title: 20190809112936622_wifi_33_180_019_g6_LGM-G600L.tab

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DOI: 10.15139/s3/h3xgfb
title: SIR Lab Dyadic Interaction Study, 2010-2012

description: 72 couples from the San Francisco Bay Area (20% community participants and 80% UC Berkeley students) participated in a laboratory study with (a) baseline survey measures, (2) lab interactions, and (3) a 9-month longitudinal follow-up survey (74 participants from 53 couples completed the follow up questionnaires). To be eligible, they must have been at least 18 years old, fluent in English, and in their relationship for at least 2 months. On average, participants were 22 years old (range 18-56), had been involved in their romantic relationship for an average length of 21 months (range 1-87), 43% were Asian/Asian American or Pacific Islander, 36% were European or European American, and 9% were Hispanic (13% other race/ethnicities). 71 out of the 72 couples were heterosexual. Participants independently completed an online questionnaire in the days prior to their lab session. The couple attended the lab session together. There, the participants participated in a series of structured videorecorded conversations, and privately answered brief questionnaires at the beginning of the lab session and again after each conversation. Topics were: -A teamwork task: For this task, couples were given 4 min to work together ranking items needed for survival if they were stranded in the Far North (Winter Survival Exercise; Johnson Johnson, 2003). - A problem solving discussion: For this conversation, both partners listed the top three sources of conflict in their relationship at the beginning of the session and later one partner was randomly assigned to pick the topic for the conversation from one of the three that they had listed. The partner who selected the topic was put in charge of the conversation and couples were given 5 min to work toward a resolution of the conflict. After each conversation, participants completed a series of questions regarding their emotions, relationship quality, sense of power, and perspective taking (See attached excel file for variables). After the conversations, participants also separately completed a perspective taking task designed to assess how well they were able to take their partner's perspective on a variety of different topics. Six months after the completion of the lab study, both partners separately completed a longitudinal follow-up survey with questions about their relationships. This study was completed at the University of California, Berkeley. IRB approval number: 2010-05-1425.
DOI: 10.15785/sbgrid/707
title: ClustENM-HADDOCK pipeline models

description: PDBs, scores and RMSDs related with ClustENM-HADDOCK modelling pipeline for protein-protein and protein-DNA complexes
DOI: 10.7910/dvn/hjgj2a/bp01sr
title: 20190809144248527_wifi_33_188_004_g6_LGM-G600L.tab

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DOI: 10.7910/dvn/hjgj2a/eobpmt
title: 20190809120143319_wifi_33_189_007_chanseok_SM-G950N.tab

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DOI: 10.7910/dvn/hjgj2a/ion1tn
title: 20190809105958154_wifi_33_176_010_chanseok_SM-G950N.tab

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DOI: 10.7910/dvn/hjgj2a/kjxcen
title: 20190809110612324_wifi_33_177_005_g6_LGM-G600L.tab

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DOI: 10.7910/dvn/hjgj2a/lzckyl
title: 20190809113212884_wifi_33_181_004_g6_LGM-G600L.tab

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DOI: 10.7910/dvn/hjgj2a/m3synm
title: 20190809141333569_wifi_33_189_001_chanseok2_SM-G950N.tab

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DOI: 10.7910/dvn/hjgj2a/om7gxm
title: 20190809133955296_wifi_33_179_011_chanseok2_SM-G950N.tab

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DOI: 10.7910/dvn/hjgj2a/rwsbrj
title: 20190809110308094_wifi_33_177_008_chanseok_SM-G950N.tab

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DOI: 10.7910/dvn/hjgj2a/tds4zc
title: 20190809115552484_wifi_33_186_005_g6_LGM-G600L.tab

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DOI: 10.7910/dvn/hjgj2a/8ofsa7
title: 20190809112652457_wifi_33_181_001_chanseok_SM-G950N.tab

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DOI: 10.7910/dvn/hjgj2a/ijmrz6
title: 20190809135030339_wifi_33_176_006_g6_LGM-G600L.tab

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DOI: 10.7910/dvn/hjgj2a/jo9uky
title: 20190809115234794_wifi_33_187_005_chanseok_SM-G950N.tab

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DOI: 10.7910/dvn/hjgj2a/kqsfez
title: 20190809134958094_wifi_33_181_015_chanseok2_SM-G950N.tab

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DOI: 10.7910/dvn/hjgj2a/relgkq
title: 20190809141058636_wifi_33_188_003_chanseok2_SM-G950N.tab

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DOI: 10.7910/dvn/hjgj2a/t2cesh
title: 20190809135324521_wifi_33_182_007_chanseok2_SM-G950N.tab

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DOI: 10.7910/dvn/hjgj2a/x9bi40
title: 20190809134702004_wifi_33_175_014_g6_LGM-G600L.tab

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DOI: 10.7910/dvn/hjgj2a/xwzpn3
title: 20190809110338309_wifi_33_177_010_chanseok_SM-G950N.tab

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DOI: 10.25606/surf.578c6039-6e5abc84
title: The Cosmogrid Simulation: Statistical Properties of Small Dark Matter Halos (2048-455)

description: We present the results of the "Cosmogrid" cosmological N-body simulation suites based on the concordance LCDM model. The Cosmogrid simulation was performed in a 30 Mpc box with 2048³ particles. The mass of each particle is 1.28x10^5 Msun, which is sufficient to resolve ultra-faint dwarfs. We found that the halo mass function shows good agreement with the Sheth & Tormen fitting function down to ~10^7 Msun. We have analyzed the spherically averaged density profiles of the three most massive halos which are of galaxy group size and contain at least 170 million particles. The slopes of these density profiles become shallower than -1 at the inner most radius. We also find a clear correlation of halo concentration with mass. The mass dependence of the concentration parameter cannot be expressed by a single power law, however a simple model based on the Press-Schechter theory proposed by Navarro et al. gives reasonable agreement with this dependence. The spin parameter does not show a correlation with the halo mass. The probability distribution functions for both concentration and spin are well fitted by the log-normal distribution for halos with the masses larger than ~10^8 Msun. The subhalo abundance depends on the halo mass. Galaxy-sized halos have 50% more subhalos than ~10^11 Msun halos have. This is snapshot 455 of the 2048³ resolution collection.
DOI: 10.7910/dvn/hjgj2a/8qdwtz
title: 20190809105631902_wifi_33_175_011_g6_LGM-G600L.tab

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DOI: 10.7910/dvn/hjgj2a/bqsogg
title: 20190809115320766_wifi_33_187_008_chanseok_SM-G950N.tab

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DOI: 10.7910/dvn/hjgj2a/fnpcfe
title: 20190809110733761_wifi_33_178_004_chanseok_SM-G950N.tab

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DOI: 10.7910/dvn/hjgj2a/gqghoq
title: 20190809112020082_wifi_33_179_004_g6_LGM-G600L.tab

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DOI: 10.7910/dvn/hjgj2a/h8jww2
title: 20190809120111075_wifi_33_187_007_g6_LGM-G600L.tab

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DOI: 10.7910/dvn/hjgj2a/u9jukp
title: 20190809132727833_wifi_33_177_001_chanseok2_SM-G950N.tab

description: :unav
DOI: 10.7910/dvn/hjgj2a/wof3xk
title: 20190809120402050_wifi_33_190_001_chanseok_SM-G950N.tab

description: :unav
DOI: 10.7910/dvn/hjgj2a/xspnqy
title: 20190809135531192_wifi_33_182_017_chanseok2_SM-G950N.tab

description: :unav
DOI: 10.7910/dvn/hjgj2a/ysatb7
title: 20190809105233693_wifi_33_175_006_chanseok_SM-G950N.tab

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DOI: 10.25345/c5f66w
title: MassIVE MSV000084388 - Characterizing the MAX p.His28Arg secretome in endometrial cancer
title: We have previously shown that the recurrent EC MAX p.His28Arg mutation (MAXH28R) is associated with a proangiogenic phenotype, reduced recurrence-free survival and alters global gene expression. MAX functions as a transcription factor and is the obligate binding partner of MYC and MXD family members. We sought to characterize the factors secreted by EC cells in the presence of MAXH28R and identify effector molecules upstream or downstream of MAX that are more amenable to therapeutic targeting. Bottom-up mass spectrometry of secreted proteins (secretomics) coupled with microarray analysis of global gene expression was performed using AN3CA EC cell lines that stably express the long isoform of MAX-wild type or MAXH28R. Secretomics analysis identified approximately 1000 proteins across the two cell lines (N =6). Of these, 66 proteins were differentially expressed between MAXH28R and MAXWT expressing AN3CA cells and highly correlated with mRNA expression. Combined, we found that the MAX p.His28Arg mutation significantly altered expression of secreted proteins in EC cell lines have implications for altered tumor biology.
DOI: 10.7910/dvn/hjgj2a/7np0yn
title: 20190809142607380_wifi_33_182_017_g6_LGM-G600L.tab

description: :unav
DOI: 10.7910/dvn/hjgj2a/hwygbu
title: 20190809111043122_wifi_33_177_021_g6_LGM-G600L.tab

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DOI: 10.7910/dvn/hjgj2a/ipo9jd
title: 20190809143715115_wifi_33_186_013_g6_LGM-G600L.tab

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DOI: 10.7910/dvn/hjgj2a/mf58k9
title: 20190809135337539_wifi_33_182_008_chanseok2_SM-G950N.tab

description: :unav
DOI: 10.7910/dvn/hjgj2a/n9hrpb
title: 20190809120128496_wifi_33_189_006_chanseok_SM-G950N.tab

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