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Wyniki wyszukiwania dla: ENVIRONMENTAL WIND ENGINEERING, AIRFLOW AROUND BUILDINGS, CFD SIMULATION, THE K-Ε REALIZABLE MODEL OF TURBULENCE

  • AVHRR Level1CD covering Baltic Sea area year 2010

    Dane Badawcze

    The product level is the NOAA AVHRR Level 1C that is result of processing the AVHRR data from the HRPT stream based on ancillary information like sensing geometry and calibration data. Then converted into geophysical variables: top-of-the atmosphere (TOA) albedo or brightness temperature. Additionally, information like geolocation has been added. Other...

  • AVHRR Level1CD covering Baltic Sea area year 2007

    Dane Badawcze

    The product level is the NOAA AVHRR Level 1C that is result of processing the AVHRR data from the HRPT stream based on ancillary information like sensing geometry and calibration data. Then converted into geophysical variables: top-of-the atmosphere (TOA) albedo or brightness temperature. Additionally, information like geolocation has been added. Other...

  • AVHRR Level1CD covering Baltic Sea area year 2011

    Dane Badawcze

    The product level is the NOAA AVHRR Level 1C that is result of processing the AVHRR data from the HRPT stream based on ancillary information like sensing geometry and calibration data. Then converted into geophysical variables: top-of-the atmosphere (TOA) albedo or brightness temperature. Additionally, information like geolocation has been added. Other...

  • AVHRR Level1CD covering Baltic Sea area year 2012

    Dane Badawcze

    The product level is the NOAA AVHRR Level 1C that is result of processing the AVHRR data from the HRPT stream based on ancillary information like sensing geometry and calibration data. Then converted into geophysical variables: top-of-the atmosphere (TOA) albedo or brightness temperature. Additionally, information like geolocation has been added. Other...

  • AVHRR Level1CD covering Baltic Sea area year 2008

    Dane Badawcze

    The product level is the NOAA AVHRR Level 1C that is result of processing the AVHRR data from the HRPT stream based on ancillary information like sensing geometry and calibration data. Then converted into geophysical variables: top-of-the atmosphere (TOA) albedo or brightness temperature. Additionally, information like geolocation has been added. Other...

  • AVHRR Level1CD covering Baltic Sea area year 2009

    Dane Badawcze

    The product level is the NOAA AVHRR Level 1C that is result of processing the AVHRR data from the HRPT stream based on ancillary information like sensing geometry and calibration data. Then converted into geophysical variables: top-of-the atmosphere (TOA) albedo or brightness temperature. Additionally, information like geolocation has been added. Other...

  • SYNAT_MUSIC_GENRE_FV_173

    Dane Badawcze

    This is the original dataset containing 51582 music tracks (22 music genres) and 173 element-feature vector [1-6,9]. A collection of more than 50000 music excerpts described with a set of descriptors obtained through the analysis of 30-second mp3 recordings was gathered in a database called SYNAT. The SYNAT database was realized by the Gdansk University...

  • Supplementary material for: Fungal Planet description sheets: 1478–1549

    Dane Badawcze
    open access
    • P. Crous
    • E.  Osieck
    • R.  Shivas
    • Y.  Tan
    • S.  Bishop-Hurley
    •  . F.
    • E.  Larsson
    • J.  Luangsa-ard
    • F.  Pancorbo
    • S.  Balashov
    • I.  Baseia
    • T. iuribaseia@gmail.com
    • S.  Chandranayaka
    • D.  Cowan
    • R.  Cruz
    • P.  Czachura
    • S.  De la Peña-Lastra
    • F.  Dovana
    • B.  Drury
    • J.  Fell
    • A.  Flakus
    • R.  Fotedar
    • Ž.  Jurjević
    • A.  Kolecka
    • J.  Mack
    • G.  Maggs-Kölling
    • S.  Mahadevakumar
    • A.  Mateos
    • S.  Mongkolsamrit
    • W.  Noisripoom
    • M.  Plaza
    • D. Overy
    • M.  Piatek
    • M.  Sandoval-Denis
    • J.  Vauras
    • M.  Wingfield
    • S.  Abell
    • A.  Ahmadpour
    • A.  Akulov
    • F.  Alavi
    • Z.  Alavi
    • A.  Altés
    • P.  Alvarado
    • G.  Anand
    • N.  Ashtekar
    • B.  Assyov
    • G.  Banc-Prandi
    • K.  Barbosa
    • G.  Barreto
    • J.  Bellanger
    • J.  Bezerra
    • D.  Bhat
    • P.  Bilański
    • T.  Bose
    • F.  Bozok
    • J.  Chaves
    • D.  Costa-Rezende
    • C.  Danteswari
    • V. Darmostuk
    • G.  Delgado
    • S.  Denman
    • A.  Eichmeier
    • J.  Etayo
    • G.  Eyssartier
    • S.  Faulwetter
    • K.  Ganga
    • Y.  Ghosta
    • J.  Goh
    • J.  Góis
    • D.  Gramaje
    • L.  Granit
    • M.  Groenewald
    • G.  Gulden
    • L.  Gusmão
    • A.  Hammerbacher
    • Z.  Heidarian
    • N.  Hywel-Jones
    • R.  Jankowiak
    • M.  Kaliyaperumal
    • O.  Kaygusuz
    • K.  Kezo
    • A.  Khonsanit
    • S.  Kumar
    • C.  Kuo
    • T.  Laessøe
    • K.  Latha
    • M.  Loizides
    • S.  Luo
    • J.  Maciá-Vicente
    • P.  Manimohan
    • P.  Marbach
    • P.  Marinho
    • T.  Marney
    • G.  Marques
    • M.  Martín
    • A.  Miller
    • F.  Mondello
    • G.  Moreno
    • K.  Mufeeda
    • H. Mun
    • T.  Nau
    • T.  Nkomo
    • A.  Okrasińska
    • J.  Oliveira
    • R.  Oliveira
    • D.  Ortiz
    • J.  Pawłowska
    • M.  Pérez-De-Gregorio
    • A.  Podile
    • A.  Portugal
    • N.  Privitera
    • K.  Rajeshkumar
    • I.  Rauf
    • B.  Rian
    • A.  Rigueiro-Rodríguez
    • G.  Rivas-Torres
    • P. Rodriguez-Flakus
    • M.  Romero-Gordillo
    • I.  Saar
    • M.  Saba
    • C.  Santos
    • P.  Sarma
    • J.  Siquier
    • S.  Sleiman
    • M.  Spetik
    • K.  Sridhar
    • M.  Stryjak-Bogacka
    • K.  Szczepańska
    • H.  Taşikn
    • D.  Tennakoon
    • D.  Thanakitpipattana
    • J.  Trovão
    • A.  Türkekul
    • A.  van Iperen
    • P.  van 't Hof
    • G.  Vasquez
    • C.  Visagie
    • B.  Wingfield
    • P.  Wong
    • W.  Yang
    • M.  Yarar
    • O.  Yarden
    • N.  Yilmaz
    • N.  Zhang
    • Y.  Zhu
    • J.  Groenewald

    Novel species of fungi described in this study include those from various countries as follows: Australia, Bolivia, Brazil, Bulgaria, Canada, China, Denmark, Ecuador (Galapagos), Finland, France, India, Iran, Israel, Italy, Namibia, Netherlands, Norway, Pakistan, Poland, Portugal, Qatar, South Africa, South Korea, Spain, Sweden, Thailand, Taiwan region...

  • SYNAT Music Genre Parameters PCA 19

    Dane Badawcze

    The dataset contains feature vector after  Principal Component Analysis (PCA) performing, so there are 11 music genres and 19-element vector derived from music excerpts. Originally, a feature vector containing 173 elements was conceived in earlier research studies carried out by the team of authors [1-6]. A collection of 52532 music excerpts described...

  • SYNAT_PCA_48

    Dane Badawcze

    There is a series of datasets containing feature vectors derived from music tracks. The dataset contains 51582 music tracks (22 music genres) and feature vector after  Principal Component Analysis (PCA) performing, so there are 48-element vectors derived from music excerpts. Originally, a feature vector containing 173 elements was conceived in earlier...

  • SYNAT_PCA_11

    Dane Badawcze

    The dataset contains 51582 music tracks (22 music genres) and feature vector after  Principal Component Analysis (PCA) performing, so there are 11-element vectors derived from music excerpts. Originally, a feature vector containing 173 elements was conceived in earlier research studies carried out by the team of authors [1-6]. A collection of more than...