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  • 1
    Publication Date: 2011-06-06
    Electronic ISSN: 1756-0357
    Topics: Biology , Chemistry and Pharmacology , Geosciences , Medicine , Natural Sciences in General , Physics
    Published by Springer Nature
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  • 2
    Publication Date: 2006-03-15
    Description: Background Transcriptional regulation processes are the principal mechanisms of adaptation in prokaryotes. In these processes, the regulatory proteins and the regulatory DNA signals located in extragenic regions are the key elements involved. As all extragenic spaces are putative regulatory regions, ExtraTrain covers all extragenic regions of available genomes and regulatory proteins from bacteria and archaea included in the UniProt database. Description ExtraTrain provides integrated and easily manageable information for 679816 extragenic regions and for the genes delimiting each of them. In addition ExtraTrain supplies a tool to explore extragenic regions, named Palinsight, oriented to detect and search palindromic patterns. This interactive visual tool is totally integrated in the database, allowing the search for regulatory signals in user defined sets of extragenic regions. The 26046 regulatory proteins included in ExtraTrain belong to the families AraC/XylS, ArsR, AsnC, Cold shock domain, CRP-FNR, DeoR, GntR, IclR, LacI, LuxR, LysR, MarR, MerR, NtrC/Fis, OmpR and TetR. The database follows the InterPro criteria to define these families. The information about regulators includes manually curated sets of references specifically associated to regulator entries. In order to achieve a sustainable and maintainable knowledge database ExtraTrain is a platform open to the contribution of knowledge by the scientific community providing a system for the incorporation of textual knowledge. Conclusion ExtraTrain is a new database for exploring Extra genic regions and Tra nscriptional in formation in bacteria and archaea. ExtraTrain database is available at http://www.era7.com/ExtraTrain/.
    Electronic ISSN: 1471-2180
    Topics: Biology
    Published by BioMed Central
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  • 3
    Publication Date: 2021-07-07
    Description: Purpose Understanding whole-grain intake and its associated factors is essential to tackle the double burden of malnutrition faced by Latin American countries. This study aimed to characterize total and whole grain intake in Latin American countries and to investigate foods contributing to these intake in the region. Methods Data were obtained from the multicenter cross-sectional survey Latin American Study of Nutrition and Health (ELANS), including 9128 participants residing in urban areas of eight Latin American countries. Data collection was performed via two household visits using a standardized questionnaire and two 24 h dietary recalls. Usual dietary intake of total grain foods and foods containing whole grains was estimated. The association between the intake of grain food groups and sociodemographic variables was investigated using multiple linear regression models with random intercepts. Results Mean intake of total grain foods and foods containing whole grains was 318.6 g/d and 14.7 g/d, respectively. Total grain foods were less consumed by participants at older ages (−9.8 g/d), and females (−9.9 g/d), and more consumed by those in the lowest socioeconomic category (24.8 g/d). Foods containing whole grains were more consumed by participants at older ages (3.3 g/d), and females (4.0 g/d), while those in the lowest socioeconomic category consumed 2.9 g/d less. Major contributors to energy provided from foods containing whole grains were oatmeal, masa harina, whole-wheat bread, corn chips, and wheat crackers. Conclusion The intake of grain foods represented a substantial part of the Latin American population’s diet, but the intake of foods containing whole grains was extremely low in all assessed countries.
    Print ISSN: 1436-6207
    Electronic ISSN: 1436-6215
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition , Medicine
    Published by Springer
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  • 4
    Publication Date: 2024-02-29
    Description: Surveys of seagrass associated fisheries were conducted as part of a large-scale seagrass ecosystem services assessment conducted across five countries: Malaysia, Indonesia, Thailand, Philippines and Timor-Leste under the International Climate Initiative (IKI): Seagrass Ecosystem Services Project (https://www.dugongseagrass.org/projects/seagrass-ecosystem-services-project/). To survey seagrass-associated biodiversity, data collectors used Baited Remote Underwater Video systems (BRUVS) and footage was analysed by an observer, trained in fish identification, for relative abundance (MaxN) and species richness between July 2022 – June 2023. A total of 325 hours were collected from seagrass meadows across the Indo-Pacific, with depth ranges of 0.5 – 8.4 metres. Data points were selected by local NGO's and/or community members, and placed a minimum of 50m apart.
    Keywords: Ablennes hians; Abudefduf sexfasciatus; Abudefduf vaigiensis; Acanthochromis polyacanthus; Acanthurus bahianus; Acanthurus nigricaudus; Acanthurus thompsoni; Acanthurus triostegus; Acentrogobius caninus; Acreichthys tomentosus; Aeoliscus strigatus; Alepes apercna; Alepes melanoptera; Aluterus scriptus; Amanses scopas; Ambassis gymnocephalus; Amblyglyphidodon curacao; Amblyglyphidodon ternatensis; Amblygobius buanensis; Amblygobius sphynx; Amphiprion clarkii; Amphiprion polymnus; Anampses caeruleopunctatus; Anampses melanurus; Aphareus rutilans; Apogon endekataenia; Apogon kallopterus; Apogon trimaculatus; Archamia bleekeri; Area/locality; Arius maculatus; Arothron hispidus; Arothron immaculatus; Arothron manilensis; Arothron reticularis; Arothron stellatus; Aspidontus taeniatus; Asterropteryx striata; Atherinomorus lacunosus; Atule mate; Aulostomus chinensis; Aulostomus strigosus; Balistapus undulatus; Bodianus bilunulatus; BRUV; Calotomus carolinus; Calotomus spinidens; Calotomus viridescens; Cantherhines dumerilii; Cantherhines pardalis; Cantheschenia grandisquamis; Canthigaster bennetti; Canthigaster coronata; Canthigaster valentini; Carangoides orthogrammus; Carangoides praeustus; Caranx ignobilis; Caranx melampygus; Caranx sexfasciatus; Centropyge bicolor; Centropyge flavipectoralis; Centropyge vrolikii; Cephalopholis cyanostigma; Chaetodon auriga; Chaetodon kleinii; Chaetodon lunulatus; Chaetodon melannotus; Chaetodon trifascialis; Chaetodon vagabundus; Cheilinus chlorourus; Cheilinus trilobatus; Cheilodipterus artus; Cheilodipterus macrodon; Cheilodipterus parazonatus; Cheilodipterus quinquelineatus; Chelio inermis; Chelonodon patoca; Choerodon anchorago; Choerodon jordani; Chromis notata; Chromis viridis; Chrysiptera cymatilis; Chrysiptera tricincta; Cirrhilabrus condei; Cirrhilabrus temmincki; Cloud cover; Colurodontis paxmani; Comment; Coris gaimard; Coris pictoides; Country; Crenimugil crenilabis; Cryptocentrus cinctus; Cryptocentrus sericus; Ctenochaetus flavicauda; Ctenochaetus striatus; Dascyllus aruanus; Dascyllus reticulatus; Dascyllus trimaculatus; Data source; DATE/TIME; DEPTH, water; Dexillichthys aspilos; Dexillus muelleri; Diagramma pictum; Diodon holocanthus; Diodon hystrix; Diproctacanthus xanthurus; Dischistodus chrysopoecilus; Dischistodus fasciatus; Dischistodus perspicillatus; Dischistodus prosopotaenia; Dischistodus pseudochrysopoecilus; Echeneis naucrates; Echidna nebulosa; Epinephelus amblycephalus; Epinephelus areolatus; Epinephelus bleekeri; Epinephelus merra; Epinephelus rivulatus; Epinephelus sexfasciatus; Epinephelus stictus; Eubalichthys caeruleoguttatus; Event label; Eviota bifasciata; Fishing intensity; Fistularia commersonii; Gerres argyreus; Gerres erythrourus; Gerres filamentosus; Gerres oyena; Gnathanodon speciosus; GPS, Garmin, GPSMAP 79s; Gunnelichthys curiosus; Gymnocaesio gymnopterus; Gymnocranius elongatus; Gymnocranius euanus; Gymnocranius grandoculis; Gymnosarda unicolor; Gymnothorax albimarginatus; Gymnothorax buroensis; Gymnothorax cribroris; Gymnothorax flavimarginatus; Gymnothorax tile; Gymnothorax undulatus; Halicampus grayi; Halichoeres argus; Halichoeres chloropterus; Halichoeres chrysotaenia; Halichoeres chrysus; Halichoeres marginatus; Halichoeres melanochir; Halichoeres melanurus; Halichoeres pallidus; Halichoeres papilionaceus; Halichoeres scapularis; Halichoeres schwartzii; Halichoeres trimaculatus; Hemigymnus melapterus; Hemiramphus brasiliensis; Heniochus acuminatus; Heniochus diphreutes; Hexanematichthys sagor; Hipposcarus longiceps; Hologymnosus annulatus; Hoplolatilus cuniculus; Hypoatherina barnesi; Hyporhamphus limbatus; ID_Ba_1; ID_Ba_10; ID_Ba_11; ID_Ba_12; ID_Ba_13; ID_Ba_14; ID_Ba_15; ID_Ba_16; ID_Ba_17; ID_Ba_18; ID_Ba_19; ID_Ba_2; ID_Ba_20; ID_Ba_21; ID_Ba_22; ID_Ba_3; ID_Ba_4; ID_Ba_5; ID_Ba_6; ID_Ba_7; ID_Ba_9; ID_Bu_1; ID_Bu_10; ID_Bu_11; ID_Bu_12; ID_Bu_13; ID_Bu_14; ID_Bu_15; ID_Bu_16; ID_Bu_17; ID_Bu_18; ID_Bu_19; ID_Bu_2; ID_Bu_20; ID_Bu_21; ID_Bu_22; ID_Bu_23; ID_Bu_24; ID_Bu_3; ID_Bu_4; ID_Bu_5; ID_Bu_6; ID_Bu_7; ID_Bu_8; ID_Bu_9; ID_Ta_1; ID_Ta_11; ID_Ta_12; ID_Ta_13; ID_Ta_14; ID_Ta_15; ID_Ta_16; ID_Ta_17; ID_Ta_18; ID_Ta_19; ID_Ta_20; ID_Ta_21; ID_Ta_22; ID_Ta_23; ID_Ta_24; ID_Ta_4; ID_Ta_5; ID_Ta_6; ID_Ta_7; ID_Ta_8; ID_Ta_9; Identification; Indonesia; Indo-Pacific; Istiblennius lineatus; Kaupichthys brachychirus; Labroides bicolor; Labroides dimidiatus; Lagocephalus spadiceus; Lagocephalus suezensis; LATITUDE; Leptojulis cyanopleura; Leptoscarus vaigiensis; Lethrinus atkinsoni; Lethrinus erythropterus; Lethrinus genivittatus; Lethrinus harak; Lethrinus lentjan; Lethrinus microdon; Lethrinus obsoletus; Lethrinus olivacelus; Lethrinus ornatus; lethrinus ravus; Lethrinus rubrioperculatus; Lethrinus semicinctus; Lethrinus variegatus; Liza vaigiensis; LONGITUDE; Lutjanus bohar; Lutjanus carponotatus; Lutjanus ehrenbergii; Lutjanus fulviflamma; Lutjanus fulvus; Lutjanus gibbus; Lutjanus lemniscatus; Lutjanus maxweberi; Lutjanus russelli; Lutjanus vitta; Macropharyngodon negrosensis; Macrorhamphosodes platycheilus; Malacanthus brevirostris; Malaysia; Megalaspis cordyla; Megalops cyprinoides; Meiacanthus abruptus; Meiacanthus grammistes; Monacanthus chinensis; Monodactylus argenteus; Monotaxis heterodon; Mulloidichthys flavolineatus; Mulloidichthys vanicolensis; MULT; Multiple investigations; MY_Set_1; MY_Set_10; MY_Set_11; MY_Set_12; MY_Set_13; MY_Set_14; MY_Set_15; MY_Set_16; MY_Set_17; MY_Set_18; MY_Set_19; MY_Set_2; MY_Set_20; MY_Set_21; MY_Set_3; MY_Set_4; MY_Set_5; MY_Set_6; MY_Set_7; MY_Set_8; MY_Set_9; MY_Sibu_1; MY_Sibu_10; MY_Sibu_11; MY_Sibu_12; MY_Sibu_2; MY_Sibu_3; MY_Sibu_4; MY_Sibu_5; MY_Sibu_6; MY_Sibu_7; MY_Sibu_8; MY_Sibu_9; MY_Ting_1; MY_Ting_10; MY_Ting_11; MY_Ting_12; MY_Ting_13; MY_Ting_14; MY_Ting_15; MY_Ting_16; MY_Ting_17; MY_Ting_18; MY_Ting_19; MY_Ting_2; MY_Ting_20; MY_Ting_21; MY_Ting_22; MY_Ting_23; MY_Ting_24; MY_Ting_3; MY_Ting_4; MY_Ting_5; MY_Ting_6; MY_Ting_7; MY_Ting_8; MY_Ting_9; Myrichthys colubrinus; Myrichthys maculosus; Naso thynnoides; Naso unicornis; Nemipterus furcosus; Nemipterus nematophorus; Neoglyphidodon melas; Neomyxus leuciscus; Novaculichthys macrolepidotus; Novaculichthys taeniourus; Novaculoides macrolepidotus; Ostorhinchus angustatus; Ostorhinchus cavitensis; Ostorhinchus fasciatus; Ostorhinchus margaritophorus; Ostorhinchus nigrofasciatus; Ostorhinchus taeniophorus; Oxycheilinus bimaculatus; Parachaetodon ocellatus; Paramonacanthus curtorhynchos; Paramonacanthus japonicus; Paramonacanthus tricuspis; Parapercis cylindrica; Parapercis diplospilus; Parapercis lineopunctata; Parapercis snyderi; Parapercis tetracantha; Parapercis xanthozona; Parastromateus niger; Parupeneus barberinoides; Parupeneus barberinus; Parupeneus crassilabris; Parupeneus cyclostomus; Parupeneus indicus; Parupeneus macronema; Parupeneus macronemus; Parupeneus multifasciatus; Pastinachus sephen; Pelates quadrilineatus; Pentapodus bifasciatus; Pentapodus paradiseus; Pentapodus setosus; Pentapodus trivittatus; Pervagor janthinosoma; Pervagor nigrolineatus; Petroscirtes breviceps; Petroscirtes mitratus; Petroscirtes variabilis; PH_Che_1; PH_Che_2; PH_Che_3; PH_Che_4; PH_Che_5; PH_Che_6; PH_Dia_1; PH_Dia_2; PH_Dia_3; PH_Dia_4; PH_Dia_5; PH_GIE_1; PH_GIE_2; PH_GIE_3; PH_GIE_4; PH_GIE_5; PH_GIW_1; PH_GIW_2; PH_GIW_3; PH_GIW_4; PH_GIW_5; PH_GIW_6; PH_JI_1; PH_JI_10; PH_JI_11; PH_JI_12; PH_JI_13; PH_JI_14; PH_JI_15; PH_JI_16; PH_JI_17; PH_JI_18; PH_JI_19; PH_JI_2; PH_JI_20; PH_JI_21; PH_JI_22; PH_JI_23; PH_JI_3; PH_JI_4; PH_JI_5; PH_JI_6; PH_JI_7; PH_JI_8; PH_JI_9; PH_Ocam_1; PH_Ocam_10; PH_Ocam_2; PH_Ocam_3; PH_Ocam_4; PH_Ocam_5; PH_Ocam_6; PH_Ocam_7; PH_Ocam_8; PH_Ocam_9; Philippines; Platax teira; Platybelone argalus; Plectroglyphidodon leucozonus; Plot of land; Plotosus lineatus; Pomacanthus xanthometopon; Pomacentrus amboinensis; Pomacentrus imitator; Pomacentrus melanochir; Pomacentrus nagasakiensis; Pomacentrus simsiang; Pomacentrus smithi;
    Type: Dataset
    Format: text/tab-separated-values, 112197 data points
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  • 5
    Publication Date: 2024-02-29
    Description: Surveys of seagrass morphometrics were conducted as part of a large-scale seagrass ecosystem services assessment conducted across five countries: Malaysia, Indonesia, Thailand, Philippines and Timor-Leste under the International Climate Initiative (IKI): Seagrass Ecosystem Services Project (https://www.dugongseagrass.org/projects/seagrass-ecosystem-services-project/), between July 2022 and April 2023. Data points were selected by local NGO's and/or community members. Five random 0.25 m² quadrats were placed around each Baited Remote Underwater Video system (BRUV) point, where data on seagrass cover, seagrass species composition, algae cover, canopy height, epiphyte cover and sediment type were recorded (modified from Jones et al., 2021). Data were collected from a total of 880 quadrats, observing nine seagrass species across Indo-Pacific sample sites.
    Keywords: According to McKenzie et al. (2003); Algae, cover; Area/locality; BRUV; Canopy height; Country; Cymodocea rotundata, cover; DATE/TIME; Enhalus acoroides, cover; Epiphytes, cover; Event label; GPS, Garmin, GPSMAP 79s; Halodule pinifolia, cover; Halodule uninervis, cover; Halophila ovalis, cover; ID_Ba_1; ID_Ba_10; ID_Ba_2; ID_Ba_3; ID_Ba_4; ID_Ba_5; ID_Ba_6; ID_Ba_7; ID_Ba_8; ID_Ba_9; ID_Bu_1; ID_Bu_10; ID_Bu_11; ID_Bu_12; ID_Bu_2; ID_Bu_3; ID_Bu_4; ID_Bu_5; ID_Bu_6; ID_Bu_7; ID_Bu_8; ID_Bu_9; ID_Ta_1; ID_Ta_10; ID_Ta_11; ID_Ta_12; ID_Ta_2; ID_Ta_3; ID_Ta_4; ID_Ta_5; ID_Ta_6; ID_Ta_7; ID_Ta_8; ID_Ta_9; Identification; Indonesia; Indo-Pacific; LATITUDE; LONGITUDE; Malaysia; MULT; Multiple investigations; MY_Set_1; MY_Set_2; MY_Set_3; MY_Set_4; MY_Set_5; MY_Set_6; Oceana serrulata, cover; PH_Ba_1; PH_Ba_2; PH_Bv_1; PH_Bv_2; PH_Che_4; PH_Che_5; PH_Che_6; PH_Dia_3; PH_Dia_4; PH_Dia_5; PH_GIE_1; PH_GIE_2; PH_GIE_3; PH_GIE_4; PH_GIE_5; PH_GIW_1; PH_GIW_2; PH_GIW_3; PH_GIW_4; PH_GIW_5; PH_GIW_6; PH_JI_1; PH_JI_10; PH_JI_11; PH_JI_12; PH_JI_13; PH_JI_14; PH_JI_15; PH_JI_16; PH_JI_17; PH_JI_18; PH_JI_19; PH_JI_2; PH_JI_20; PH_JI_21; PH_JI_22; PH_JI_23; PH_JI_3; PH_JI_4; PH_JI_5; PH_JI_6; PH_JI_7; PH_JI_8; PH_JI_9; PH_Mac_1; PH_Mac_2; PH_Mac_3; PH_Mad_1; PH_Mad_2; PH_Mad_3; PH_Mad_4; PH_Mad_5; PH_Mad_6; PH_Mang_1; PH_Mang_2; PH_Mang_3; PH_Ocam_1; PH_Ocam_10; PH_Ocam_2; PH_Ocam_3; PH_Ocam_4; PH_Ocam_5; PH_Ocam_6; PH_Ocam_7; PH_Ocam_8; PH_Ocam_9; PH_Tag_1; PH_Tag_2; PH_Tag_3; Philippines; Quadrat number; Seagrass; Seagrass, cover; seagrass ecosystem services; seagrass traits; Season; Sediment type; Site; small-scale fishery; Species richness level; Syringodium isoetifolium, cover; TH_Mook_1; TH_Mook_10; TH_Mook_11; TH_Mook_12; TH_Mook_13; TH_Mook_14; TH_Mook_15; TH_Mook_16; TH_Mook_17; TH_Mook_18; TH_Mook_19; TH_Mook_2; TH_Mook_20; TH_Mook_21; TH_Mook_22; TH_Mook_23; TH_Mook_24; TH_Mook_25; TH_Mook_26; TH_Mook_27; TH_Mook_28; TH_Mook_29; TH_Mook_3; TH_Mook_30; TH_Mook_31; TH_Mook_32; TH_Mook_33; TH_Mook_34; TH_Mook_35; TH_Mook_36; TH_Mook_37; TH_Mook_38; TH_Mook_39; TH_Mook_4; TH_Mook_40; TH_Mook_41; TH_Mook_42; TH_Mook_43; TH_Mook_44; TH_Mook_45; TH_Mook_46; TH_Mook_47; TH_Mook_48; TH_Mook_49; TH_Mook_5; TH_Mook_50; TH_Mook_6; TH_Mook_7; TH_Mook_8; TH_Mook_9; TH_Suk_1; Thailand; Thalassia hemprichii, cover; Thalassodendron ciliatum, cover; Timor-Leste; TL_Bel_1; TL_Bel_2; TL_Bel_3; TL_Bel_4; TL_Bel_5; TL_Bel_6; TL_Bel_7; TL_Bel_8; TL_Biq_1; TL_Biq_2; TL_Biq_3; TL_Biq_4; TL_Biq_5; TL_Biq_6; TL_Biq_7; TL_Biq_8
    Type: Dataset
    Format: text/tab-separated-values, 21120 data points
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  • 6
    Electronic Resource
    Electronic Resource
    s.l. ; Stafa-Zurich, Switzerland
    Materials science forum Vol. 239-241 (Nov. 1996), p. 41-46 
    ISSN: 1662-9752
    Source: Scientific.Net: Materials Science & Technology / Trans Tech Publications Archiv 1984-2008
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Type of Medium: Electronic Resource
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  • 7
    Electronic Resource
    Electronic Resource
    s.l. ; Stafa-Zurich, Switzerland
    Materials science forum Vol. 239-241 (Nov. 1996), p. 47-50 
    ISSN: 1662-9752
    Source: Scientific.Net: Materials Science & Technology / Trans Tech Publications Archiv 1984-2008
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Type of Medium: Electronic Resource
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  • 8
    ISSN: 1432-0495
    Keywords: Nitrogen ; phosphorus ; Precipitation collector ; Nutrients rates
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geosciences
    Notes: Abstract The contribution of nitrogen and phosphorus due to precipitation constitutes the second most important route after superficial runoff. The sampling carried out during a two-year period by means of a precipitation collector allows us to determine the contribution of this route both qualitatively and quantitatively. Nitrogen is mainly supplied in an inorganic form, while phosphorus is principally supplied as orthophosphate. During the period of this study (March 1986–February 1988) it was found that in the Santillana Reservoir Watershed the level of nitrogen supplied by precipitation constitutes an average of 4.87% and the level of phosphorus constitutes 8.01%. The contribution of nitrogen varies in inverse ratio to precipitation and the contribution of phosphorus varies in direct ratio.
    Type of Medium: Electronic Resource
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  • 9
    ISSN: 1432-0630
    Keywords: 78.70.Bj ; 61.80 ; 72.80.Jc
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics , Physics
    Notes: Abstract The positron annihilation characteristics of the layered semiconductor InSe have been investigated. No evidence for low temperature positron trapping is found in as-grown and heavily deformed InSe. The temperature dependence of the S-parameter in these sample exhibits an increase rate in good agreement with the linear expansion coefficient along the c-axis. The positron lifetime spectra of electron-irradiated 0.01% Sn-doped InSe show a long-lifetime component of 336 ps which is tentatively attributed to positrons trapped at isolated In vacancies. Isochronal annealing experiments performed on these samples show that the recovery of the positron lifetime measured at 77K is accomplished in two stages. The first, starting after annealing at 150K, could be induced by the formation of complexes (VIn-SnIn). The second stage, observed at temperatures T≥375K, is attributed to the dissociation of these complexes and subsequent annealing of the In vacancies.
    Type of Medium: Electronic Resource
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  • 10
    Electronic Resource
    Electronic Resource
    s.l. ; Stafa-Zurich, Switzerland
    Materials science forum Vol. 105-110 (Jan. 1992), p. 961-964 
    ISSN: 1662-9752
    Source: Scientific.Net: Materials Science & Technology / Trans Tech Publications Archiv 1984-2008
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Type of Medium: Electronic Resource
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