Search results
Filter results
-
Full text
-
Document type
-
Organisation
Results: 58,375
Number of items: 58,375
-
Burderi, L., di Salvo, T., Stella, L., Fiore, F., Robba, N. R., van der Klis, M., Iaria, R., Méndez, R. M., Menna, M. T., Campana, S., Gennaro, G., Rebecchi, S., & Burgay, M. (2002). A BeppoSAX Observation of KS 1731-260 in Its Quiescent State: Constraints on the Magnetic Field of the Neutron Star. Astrophysical Journal, 574(2), 930-936. https://doi.org/10.1086/341058
-
Fehse, J., Aguirre, R., Paladines, C., Kooijman, A. M., & Sevink, J. (2002). High altitude tropical secondary forests: a comparative carbon sink? Forest Ecology and Management, 163, 9-25. https://doi.org/10.1016/S0378-1127(01)00535-7
-
Govers, H. A. J., Krop, H. B., Parsons, J. R., Tambach, T. J., & Kubicki, J. D. (2002). Dissolved organic carbon-contaminant interaction descriptors found by 3D force field calculations. SAR and QSAR in Environmental Research, 13(2), 271-280. https://doi.org/10.1080/10629360290002767
-
Govers, H. A. J., de Voogt, P., Kwast, O., & Bleeker, E. A. J. (2002). Membrane-contaminant interaction found by 3D force field calculations. SAR and QSAR in Environmental Research, 13, 135-143. https://doi.org/10.1080/10629360290002226
-
Benavides, A. M., Duque, A. J., & Callejas, R. (2002). Diversidad y distribución de epífitas vasculares en el medio Caquetá, Amazonia noroccidental Colombiana. In J. O. Rangel-Ch., J. Aguirre-C., & M. G. Andrade-C. (Eds.), Resúmenes VIII Congreso Latinoamericano de Botánica (pp. 215-215). Universidad Nacional de Colombia.
-
Vasco, A., Duque, A. J., & Callejas, R. (2002). Composición florística y distribución de epífitas vasculares en el Parque Nacional Natural Chiribiquete, Amazonia Colombiana. In J. O. Rangel-Ch., J. Aguirre-C., & M. G. Andrade-C. (Eds.), Resúmenes VIII Congreso Latinoamericano de Botánica (pp. 448-448). Universidad Nacional de Colombia.
-
Vrugt, J. A., Bouten, W., Dekker, S. C., & Musters, P. A. D. (2002). Transpiration dynamics of an Austrian pine stand and its forest floor: identifying controlling conditions using artificial neural networks. Advances in Water Resources, 25, 293-303. https://doi.org/10.1016/S0309-1708(01)00061-6
Page 4335 of 5838