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8,401 to 8,410 of 11,083 Results
Subset5_Fixlmillner_682114.tab
Jun 4, 2019 - Replication Data for: Did Astronomy Constitute a Denominationally Neutral Space within the Republic of Letters? An Outline for the Use of Visualization Tools in the Study of Astronomical Correspondence
Tabular Data - 1.1 KB - 1 Variables, 21 Observations - UNF:6:thVa/FPXsfp6mYetjrknrw==
Subset6_Weiss_682087-1.tab
Jun 4, 2019 - Replication Data for: Did Astronomy Constitute a Denominationally Neutral Space within the Republic of Letters? An Outline for the Use of Visualization Tools in the Study of Astronomical Correspondence
Tabular Data - 637 B - 13 Variables, 12 Observations - UNF:6:QsrTxCAzfaRR7d15PZnJcQ==
Subset6_Weiss_682087.tab
Jun 4, 2019 - Replication Data for: Did Astronomy Constitute a Denominationally Neutral Space within the Republic of Letters? An Outline for the Use of Visualization Tools in the Study of Astronomical Correspondence
Tabular Data - 639 B - 1 Variables, 12 Observations - UNF:6:IFuQCacPOzCWSz9brMihvQ==
Replication Data for: Observing mesospheric turbulence with specular meteor radars: A novel method for estimating second order statistics of wind velocity
Replication Data for: Observing mesospheric turbulence with specular meteor radars: A novel method for estimating second order statistics of wind velocity
Jun 4, 2019
Vierinen, Juha, 2019, "Replication Data for: Observing mesospheric turbulence with specular meteor radars: A novel method for estimating second order statistics of wind velocity", https://doi.org/10.18710/PBYWJ0, DataverseNO, V1
There are few observational techniques for measuring the distribution of kinetic energy within the mesosphere with a wide range of spatial and temporal scales. This study describes a method for estimating the three-dimensional mesospheric wind field correlation function from spec...
00_ReadMe.txt
Jun 4, 2019 - Replication Data for: Observing mesospheric turbulence with specular meteor radars: A novel method for estimating second order statistics of wind velocity
Plain Text - 1.2 KB - MD5: d1975c2762a2a48e18883eebe662c184
radial_wind_measurements.h5
Jun 4, 2019 - Replication Data for: Observing mesospheric turbulence with specular meteor radars: A novel method for estimating second order statistics of wind velocity
Hierarchical Data Format - 7.1 MB - MD5: ea7c0d2a2edef52aac169bace7d5d147
Radial wind measurements from a meteor radar network, 2018-11-05T00:00:00Z to 2018-11-06T00:00:00Z . Produced with software described in: Vierinen, J., Chau, J. L., Pfeffer, N., Clahsen, M., and Stober, G.: Coded continuous wave meteor radar, Atmos. Meas. Tech., 9, 829-839, h...
radial_wind_measurements.txt
Jun 4, 2019 - Replication Data for: Observing mesospheric turbulence with specular meteor radars: A novel method for estimating second order statistics of wind velocity
Plain Text - 17.1 MB - MD5: 9ee7711436257da7da83dfb9581987ca
The contents of radial_wind_measurements.h5 in ASCII format.
Replication Data for: Towards a global arctic-alpine model for Near-infrared reflectance spectroscopy (NIRS) predictions of foliar nitrogen, phosphorus and carbon content
May 27, 2019
Ancin Murguzur, Francisco Javier; Bison, Marjorie; Smis, Adriaan; Böhner, Hanna; Struyf, Eric; Meire, Patrick; Bråthen, Kari Anne, 2019, "Replication Data for: Towards a global arctic-alpine model for Near-infrared reflectance spectroscopy (NIRS) predictions of foliar nitrogen, phosphorus and carbon content", https://doi.org/10.18710/CXRCUW, DataverseNO, V1
Here we provide a first step towards a global arctic-alpine NIRS model of foliar N, P and C content integrating 97 species, nine functional groups, three levels of phenology, a range of habitats and two biogeographic regions (the Alps and Fennoscandia). The precision of the resul...
00_ReadMe.txt
May 27, 2019 - Replication Data for: Towards a global arctic-alpine model for Near-infrared reflectance spectroscopy (NIRS) predictions of foliar nitrogen, phosphorus and carbon content
Plain Text - 1.4 KB - MD5: 893f3e4ee9fc40672d200cc9f36b1310
Carbon .zip
May 27, 2019 - Replication Data for: Towards a global arctic-alpine model for Near-infrared reflectance spectroscopy (NIRS) predictions of foliar nitrogen, phosphorus and carbon content
ZIP Archive - 15.8 MB - MD5: 170ead1f8b99dd8dde99e601200423d4
Data and scripts for C calibration and prediction
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