1. PUR in geopolymerBarbara Horvat, Nataša Knez, Uroš Hribar, Jakob Koenig, Branka Mušič, 2024, zaključena znanstvena zbirka raziskovalnih podatkov Povzetek: The dataset supports the results shown in the tables and figures in the article entitled “Thermal insulation and flammability of composite waste polyurethane foam encapsulated in geopolymer for sustainable building envelope” (doi: 10.1016/j.jclepro.2024.141387). It contains measurements of fire-behaviour characteristics, thermal conductivity, the behaviour of the material in the electromagnetic field in relation to the frequency, mechanical and structural evaluation, as well as chemical and mineralogical analysis. Ključne besede: measurements, waste polyurethane foam, polymeric flame retardants, alkali activated material, metakaolin, microwave irradiation, thermal-fire behaviour, mechanical strength Objavljeno v DiRROS: 20.02.2024; Ogledov: 156; Prenosov: 155 Raziskovalni podatki (2,51 MB) Gradivo je zbirka in zajema 1 gradivo! |
2. Dataset for the article Methodology for evaluating the CO2 sequestration capacity of waste ashesVilma Ducman, Sara Tominc, 2023, zaključena znanstvena zbirka raziskovalnih podatkov Povzetek: The dataset supports the data in the tables and figures in the article Methodology for evaluating the CO2 sequestration capacity of waste ashes (doi: 10.3390/ma16155284). It contains the original masses of waste ash before and during carbonation treatment, the sequestered CO2 masses after carbonation treatment, mass uptake calculations, calcimetric measurements, calculations of theoretical maximum sequestered CO2 (based on XRF results) and carbonation efficiency (CE), original results of DTA/TG analysis of individual ashes, original results of XRF measurement and data from XRD analyses supported by X-ray diffractograms not published in the article. Ključne besede: CO2 sequestration, carbonation efficiency, coal ash, wood biomass ash, co-combustion ash, DTA-TG analysis Objavljeno v DiRROS: 14.07.2023; Ogledov: 469; Prenosov: 215 Raziskovalni podatki (245,99 KB) Gradivo ima več datotek! Več... |
3. Gene sequence variation data for the publication "Synchronous effective population size changes and genetic stability of forest trees through glacial cycles" : version 1.0Tanja Pyhäjärvi, Francesca Bagnoli, Katharina Budde, Stephen Cavers, Sandra Cervantes, Benjamin Dauphin, Bruno Fady, Patricia Faivre-Rampant, Santiago C. González-Martínez, Delphine Grivet, Felix Gugerli, Véronique Jorge, Chedly Kastallya, Martin Lascoux, Isabelle Lesur Kupin, Pascal Milesi, Dario I. Ojeda, Sanna Olsson, Lars Opgenoorth, Sara Pinosio, Christophe Plomion, Christian Rellstab, Odile Rogier, Simone Scalabrin, Ivan Scotti, Giovanni G Vendramin, Marjana Westergren, 2023, zaključena znanstvena zbirka raziskovalnih podatkov Povzetek: This dataset contains the gene sequence variation data (vcf files and their tbi index files) of seven forest tree species used in the manuscript "Synchronous effective population size changes and genetic stability of forest trees through glacial cycles". For each species, between 411 and 651 genotyped trees are included, sampled across Europe in at least 20 locations. Several versions are provided. Species included: Pinus sylvestris, Picea abies, Fagus sylvatica, Populus nigra, Quercus petraea, Pinus pinaster, Betula pendula Ključne besede: gene sequence, variation data, data set Objavljeno v DiRROS: 07.03.2023; Ogledov: 509; Prenosov: 507 Celotno besedilo (431,36 MB) Gradivo ima več datotek! Več... |
4. Carbon flux and environmental parameters data from an eddy covariance tower in a mid-succession ecosystem developed on abandoned karst grassland in Slovenia (2012-2019)Koffi Dodji Noumonvi, Klemen Eler, Dominik Vodnik, Primož Simončič, Mitja Ferlan, 2021, zaključena znanstvena zbirka raziskovalnih podatkov Povzetek: This data set was used to estimate carbon fluxes by comparing eddy covariance tower (Long = 13.916701, Lat = 45.543491) measurements with vegetation indices based estimates. Ključne besede: eddy covariance, GPP, NEE, empirical model, LUE model, vegetation photosynthesis model, vegetation indices Objavljeno v DiRROS: 21.02.2022; Ogledov: 730; Prenosov: 586 Celotno besedilo (29,63 KB) Gradivo ima več datotek! Več... |
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