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  • 1
    Electronic Resource
    Electronic Resource
    Amsterdam : Elsevier
    Journal of Crystal Growth 24-25 (1974), S. 674-676 
    ISSN: 0022-0248
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Chemistry and Pharmacology , Geosciences , Physics
    Type of Medium: Electronic Resource
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  • 2
    ISSN: 0014-5793
    Keywords: Cross-linking ; Disulfide bond ; Dithiothreitol ; Insulin receptor ; α-Subunit
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Biology , Chemistry and Pharmacology , Physics
    Type of Medium: Electronic Resource
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  • 3
    ISSN: 0014-5793
    Keywords: Cholectystokinin ; Pancreas ; Receptor
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Biology , Chemistry and Pharmacology , Physics
    Type of Medium: Electronic Resource
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  • 4
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    Unknown
    In:  CASI
    Publication Date: 2013-08-31
    Description: A model based on multiple regression was developed to estimate soybean yields for the seven soybean-growing states of Brazil. The meteorological data of these seven states were pooled and the years 1975 to 1980 were used to model since there was no technological trend in the yields during these years. Predictor variables were derived from monthly total precipitation and monthly average temperature.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: JSC-18907 , NASA-CR-173373 , E84-10104 , NAS 1.26:173373 , YM-N4-04455
    Format: application/pdf
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  • 5
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    In:  CASI
    Publication Date: 2013-08-31
    Description: A model based on multiple regression was developed to estimate corn yields for the country of Argentina. A meteorological data set was obtained for the country by averaging data for stations within the corn-growing area. Predictor variables for the model were derived from monthly total precipitation, average monthly mean temperature, and average monthly maximum temperature. A trend variable was included for the years 1965 to 1980 since an increasing trend in yields due to technology was observed between these years.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E84-10105 , NASA-CR-173374 , JSC-18908 , YM-N4-04456 , NAS 1.26:173374
    Format: application/pdf
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  • 6
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    In:  CASI
    Publication Date: 2013-08-31
    Description: A model based on multiple regression was developed to estimate soybean yields for the country of Argentina. A meteorological data set was obtained for the country by averaging data for stations within the soybean growing area. Predictor variables for the model were derived from monthly total precipitation and monthly average temperature. A trend variable was included for the years 1969 to 1978 since an increasing trend in yields due to technology was observed between these years.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: YM-N4-04453 , NAS 1.26:173371 , E84-10102 , NASA-CR-173371 , JSC-18905
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  • 7
    Publication Date: 2013-08-31
    Description: A quantitative model determining the relationship between weather conditions and wheat yield in the U.S.S.R. was studied to provide early reliable forecasts on the size of the U.S.S.R. wheat harvest. Separate models are developed for spring wheat and for winter. Differences in yield potential and responses to stress conditions and cultural improvements necessitate models for each class.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: TN-77-2 , LACIE-00430-REV-A , JSC-11343 , NASA-TM-74834
    Format: application/pdf
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  • 8
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    In:  CASI
    Publication Date: 2013-08-31
    Description: Five models based on multiple regression were developed to estimate wheat yields for the five wheat growing provinces of Argentina. Meteorological data sets were obtained for each province by averaging data for stations within each province. Predictor variables for the models were derived from monthly total precipitation, average monthly mean temperature, and average monthly maximum temperature. Buenos Aires was the only province for which a trend variable was included because of increasing trend in yield due to technology from 1950 to 1963.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: NASA-CR-173370 , YM-N4-04457 , JSC-18909 , E84-10101 , NAS 1.26:173370
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  • 9
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    Unknown
    In:  CASI
    Publication Date: 2013-08-31
    Description: A model based on multiple regression was developed to estimate wheat yields for the wheat growing states of Rio Grande do Sul, Parana, and Santa Catarina in Brazil. The meteorological data of these three states were pooled and the years 1972 to 1979 were used to develop the model since there was no technological trend in the yields during these years. Predictor variables were derived from monthly total precipitation, average monthly mean temperature, and average monthly maximum temperature.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: JSC-18906 , E84-10103 , NAS 1.26:173372 , YM-N4-04454 , NASA-CR-173372
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  • 10
    Publication Date: 2019-03-05
    Description: Nitrite (NO2−) is a substrate for both oxidative and reductive microbial metabolism. NO2− accumulates at the base of the euphotic zone in oxygenated, stratified open-ocean water columns, forming a feature known as the primary nitrite maximum (PNM). Potential pathways of NO2− production include the oxidation of ammonia (NH3) by ammonia-oxidizing bacteria and archaea as well as assimilatory nitrate (NO3−) reduction by phytoplankton and heterotrophic bacteria. Measurements of NH3 oxidation and NO3− reduction to NO2− were conducted at two stations in the central California Current in the eastern North Pacific to determine the relative contributions of these processes to NO2− production in the PNM. Sensitive (〈 10 nmol L−1), precise measurements of NH4+ and NO2− indicated a persistent NH4+ maximum overlying the PNM at every station, with concentrations as high as 1.5 μmol L−1. Within and just below the PNM, NH3 oxidation was the dominant NO2− producing process, with rates of NH3 oxidation to NO2− of up to 31 nmol L-1 d-1, coinciding with high abundances of ammonia-oxidizing archaea. Though little NO2− production from NO3− was detected, potentially nitrate-reducing phytoplankton (photosynthetic picoeukaryotes, 〈i〉Synechococcus〈/i〉, and 〈i〉Prochlorococcus〈/i〉) were present at the depth of the PNM. Rates of NO2− production from NO3− were highest within the upper mixed layer (4.6 nmol L-1 d-1) but were either below detection limits or 10 times lower than NH3 oxidation rates around the PNM. One-dimensional modeling of water column NO2− production agreed with production determined from 15N bottle incubations within the PNM, but a modeled net biological sink for NO2− just below the PNM was not captured in the incubations. Residence time estimates of NO2− within the PNM ranged from 18 to 470 days at the mesotrophic station and was 40 days at the oligotrophic station. Our results suggest the PNM is a dynamic, rather than relict, feature with a source term dominated by ammonia oxidation. © 2013 Author(s).
    Type: Article , PeerReviewed
    Format: text
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