Datasets as Topic
"Datasets as Topic" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
Subject matter related to the curation of data from research projects, stored permanently in a formalized manner suitable for communication, interpretation, or processing.
Descriptor ID |
D066264
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MeSH Number(s) |
E05.318.308.056 L01.313.500.750.300.188.400.500 L01.399.250.224 L01.470.750.750.431 N05.715.360.300.224 N06.850.520.308.056
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Concept/Terms |
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Below are MeSH descriptors whose meaning is more general than "Datasets as Topic".
Below are MeSH descriptors whose meaning is more specific than "Datasets as Topic".
This graph shows the total number of publications written about "Datasets as Topic" by people in this website by year, and whether "Datasets as Topic" was a major or minor topic of these publications.
To see the data from this visualization as text, click here.
Year | Major Topic | Minor Topic | Total |
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2014 | 1 | 2 | 3 | 2015 | 0 | 1 | 1 | 2016 | 1 | 4 | 5 | 2017 | 2 | 1 | 3 | 2018 | 1 | 8 | 9 | 2019 | 2 | 6 | 8 | 2020 | 1 | 5 | 6 | 2021 | 2 | 3 | 5 | 2022 | 0 | 2 | 2 |
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Below are the most recent publications written about "Datasets as Topic" by people in Profiles.
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Bonnet T, Morrissey MB, de Villemereuil P, Alberts SC, Arcese P, Bailey LD, Boutin S, Brekke P, Brent LJN, Camenisch G, Charmantier A, Clutton-Brock TH, Cockburn A, Coltman DW, Courtiol A, Davidian E, Evans SR, Ewen JG, Festa-Bianchet M, de Franceschi C, Gustafsson L, Höner OP, Houslay TM, Keller LF, Manser M, McAdam AG, McLean E, Nietlisbach P, Osmond HL, Pemberton JM, Postma E, Reid JM, Rutschmann A, Santure AW, Sheldon BC, Slate J, Teplitsky C, Visser ME, Wachter B, Kruuk LEB. Genetic variance in fitness indicates rapid contemporary adaptive evolution in wild animals. Science. 2022 05 27; 376(6596):1012-1016.
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Galbraith MD, Kinning KT, Sullivan KD, Araya P, Smith KP, Granrath RE, Shaw JR, Baxter R, Jordan KR, Russell S, Dzieciatkowska M, Reisz JA, Gamboni F, Cendali F, Ghosh T, Guo K, Wilson CC, Santiago ML, Monte AA, Bennett TD, Hansen KC, Hsieh EWY, D'Alessandro A, Espinosa JM. Specialized interferon action in COVID-19. Proc Natl Acad Sci U S A. 2022 03 15; 119(11).
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Xu CS, Pang S, Shtengel G, Müller A, Ritter AT, Hoffman HK, Takemura SY, Lu Z, Pasolli HA, Iyer N, Chung J, Bennett D, Weigel AV, Freeman M, van Engelenburg SB, Walther TC, Farese RV, Lippincott-Schwartz J, Mellman I, Solimena M, Hess HF. An open-access volume electron microscopy atlas of whole cells and tissues. Nature. 2021 11; 599(7883):147-151.
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Weber KA, Abbott R, Bojilov V, Smith AC, Wasielewski M, Hastie TJ, Parrish TB, Mackey S, Elliott JM. Multi-muscle deep learning segmentation to automate the quantification of muscle fat infiltration in cervical spine conditions. Sci Rep. 2021 08 16; 11(1):16567.
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Sullivan KD, Galbraith MD, Kinning KT, Bartsch KW, Levinsky NC, Araya P, Smith KP, Granrath RE, Shaw JR, Baxter RM, Jordan KR, Russell SA, Dzieciatkowska ME, Reisz JA, Gamboni F, Cendali FI, Ghosh T, Monte AA, Bennett TD, Miller MG, Hsieh EW, D'Alessandro A, Hansen KC, Espinosa JM. The COVIDome Explorer researcher portal. Cell Rep. 2021 08 17; 36(7):109527.
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Hu Y, Stilp AM, McHugh CP, Rao S, Jain D, Zheng X, Lane J, Méric de Bellefon S, Raffield LM, Chen MH, Yanek LR, Wheeler M, Yao Y, Ren C, Broome J, Moon JY, de Vries PS, Hobbs BD, Sun Q, Surendran P, Brody JA, Blackwell TW, Choquet H, Ryan K, Duggirala R, Heard-Costa N, Wang Z, Chami N, Preuss MH, Min N, Ekunwe L, Lange LA, Cushman M, Faraday N, Curran JE, Almasy L, Kundu K, Smith AV, Gabriel S, Rotter JI, Fornage M, Lloyd-Jones DM, Vasan RS, Smith NL, North KE, Boerwinkle E, Becker LC, Lewis JP, Abecasis GR, Hou L, O'Connell JR, Morrison AC, Beaty TH, Kaplan R, Correa A, Blangero J, Jorgenson E, Psaty BM, Kooperberg C, Walton RT, Kleinstiver BP, Tang H, Loos RJF, Soranzo N, Butterworth AS, Nickerson D, Rich SS, Mitchell BD, Johnson AD, Auer PL, Li Y, Mathias RA, Lettre G, Pankratz N, Laurie CC, Laurie CA, Bauer DE, Conomos MP, Reiner AP. Whole-genome sequencing association analysis of quantitative red blood cell phenotypes: The NHLBI TOPMed program. Am J Hum Genet. 2021 05 06; 108(5):874-893.
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Chen JS, Coyner AS, Ostmo S, Sonmez K, Bajimaya S, Pradhan E, Valikodath N, Cole ED, Al-Khaled T, Chan RVP, Singh P, Kalpathy-Cramer J, Chiang MF, Campbell JP. Deep Learning for the Diagnosis of Stage in Retinopathy of Prematurity: Accuracy and Generalizability across Populations and Cameras. Ophthalmol Retina. 2021 10; 5(10):1027-1035.
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Loresto FL, Nunez L, Tarasenko L, Pierre MS, Oja K, Mueller M, Switzer B, Marroquin K, Kleiner C. The nurse COVID and historical epidemics literature repository: Development, description, and summary. Nurs Outlook. 2021 May-Jun; 69(3):257-264.
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Nejstgaard CH, Bero L, Hróbjartsson A, Jørgensen AW, Jørgensen KJ, Le M, Lundh A. Conflicts of interest in clinical guidelines, advisory committee reports, opinion pieces, and narrative reviews: associations with recommendations. Cochrane Database Syst Rev. 2020 12 08; 12:MR000040.
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Feng S, Stiller J, Deng Y, Armstrong J, Fang Q, Reeve AH, Xie D, Chen G, Guo C, Faircloth BC, Petersen B, Wang Z, Zhou Q, Diekhans M, Chen W, Andreu-Sánchez S, Margaryan A, Howard JT, Parent C, Pacheco G, Sinding MS, Puetz L, Cavill E, Ribeiro ÂM, Eckhart L, Fjeldså J, Hosner PA, Brumfield RT, Christidis L, Bertelsen MF, Sicheritz-Ponten T, Tietze DT, Robertson BC, Song G, Borgia G, Claramunt S, Lovette IJ, Cowen SJ, Njoroge P, Dumbacher JP, Ryder OA, Fuchs J, Bunce M, Burt DW, Cracraft J, Meng G, Hackett SJ, Ryan PG, Jønsson KA, Jamieson IG, da Fonseca RR, Braun EL, Houde P, Mirarab S, Suh A, Hansson B, Ponnikas S, Sigeman H, Stervander M, Frandsen PB, van der Zwan H, van der Sluis R, Visser C, Balakrishnan CN, Clark AG, Fitzpatrick JW, Bowman R, Chen N, Cloutier A, Sackton TB, Edwards SV, Foote DJ, Shakya SB, Sheldon FH, Vignal A, Soares AER, Shapiro B, González-Solís J, Ferrer-Obiol J, Rozas J, Riutort M, Tigano A, Friesen V, Dalén L, Urrutia AO, Székely T, Liu Y, Campana MG, Corvelo A, Fleischer RC, Rutherford KM, Gemmell NJ, Dussex N, Mouritsen H, Thiele N, Delmore K, Liedvogel M, Franke A, Hoeppner MP, Krone O, Fudickar AM, Milá B, Ketterson ED, Fidler AE, Friis G, Parody-Merino ÁM, Battley PF, Cox MP, Lima NCB, Prosdocimi F, Parchman TL, Schlinger BA, Loiselle BA, Blake JG, Lim HC, Day LB, Fuxjager MJ, Baldwin MW, Braun MJ, Wirthlin M, Dikow RB, Ryder TB, Camenisch G, Keller LF, DaCosta JM, Hauber ME, Louder MIM, Witt CC, McGuire JA, Mudge J, Megna LC, Carling MD, Wang B, Taylor SA, Del-Rio G, Aleixo A, Vasconcelos ATR, Mello CV, Weir JT, Haussler D, Li Q, Yang H, Wang J, Lei F, Rahbek C, Gilbert MTP, Graves GR, Jarvis ED, Paten B, Zhang G. Dense sampling of bird diversity increases power of comparative genomics. Nature. 2020 11; 587(7833):252-257.
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