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Search results for: tio2 aktywny w swietle widzialnym

  • Conley-Morse graphs for a population model with harvesting. Case Hj-Se: Harvesting juveniles only, equal survival rates of juveniles and adults

    This dataset contains selected results of rigorous numerical computations conducted in the framework of the research described in the paper "Global dynamics in a stage-structured discrete population model with harvesting" by E. Liz and P. Pilarczyk: Journal of Theoretical Biology, Vol. 297 (2012), pp. 148–165, doi: 10.1016/j.jtbi.2011.12.012.

  • Conley-Morse graphs for a population model with harvesting. Case He-Se: Equal harvesting and equal survival rates of juveniles and adults

    This dataset contains selected results of rigorous numerical computations conducted in the framework of the research described in the paper "Global dynamics in a stage-structured discrete population model with harvesting" by E. Liz and P. Pilarczyk: Journal of Theoretical Biology, Vol. 297 (2012), pp. 148–165, doi: 10.1016/j.jtbi.2011.12.012.

  • Conley-Morse graphs for a population model with harvesting. Case Hj-S1: Harvesting juveniles only, survival rates of juveniles and adults add up to 1

    This dataset contains selected results of rigorous numerical computations conducted in the framework of the research described in the paper "Global dynamics in a stage-structured discrete population model with harvesting" by E. Liz and P. Pilarczyk: Journal of Theoretical Biology, Vol. 297 (2012), pp. 148–165, doi: 10.1016/j.jtbi.2011.12.012.

  • Conley-Morse graphs for a population model with harvesting. Case Ha-Se: Harvesting adults only, equal survival rates of juveniles and adults

    This dataset contains selected results of rigorous numerical computations conducted in the framework of the research described in the paper "Global dynamics in a stage-structured discrete population model with harvesting" by E. Liz and P. Pilarczyk: Journal of Theoretical Biology, Vol. 297 (2012), pp. 148–165, doi: 10.1016/j.jtbi.2011.12.012.

  • Simulation of the weight averaging of pulse frequency modulated sensor output signal

    Open Research Data
    open access

    The aim of the research is investigation of the efficiency of weight averaging of pulse frequency modulated signal. It was shown that from the point of view of the reduction of the sampling error the best are polynomial weighing functions, for which the maximum of this component error decreases proportionally to the appropriate power of the number of...

  • Long-term measurements from a photovoltaic power plant and meteorological stations at the Laboratory LINTE^2 of Gdańsk University of Technology

    Open Research Data

    1)    The Laboratory LINTE^2 is a large research infrastructure operated by the Faculty of Electrical and Control Engineering at Gdańsk University of Technology, to be found in Gdańsk, Poland (54.3690 N, 18.6130 E). 2)    The measurements have been collected from a photovoltaic power plant located on the roof of the laboratory, having total capacity...

  • SYNAT_MUSIC_GENRE_FV_173

    Open Research Data

    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...

  • SYNAT Music Genre Parameters PCA 19

    Open Research Data

    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

    Open Research Data

    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

    Open Research Data

    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...

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

    Open Research Data
    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...