10722687 results
Contributors: Iurii Shendryk
Date: 2019-09-17
... The dataset consists of PlanetScope and Sentinel-2 derived scenes (i.e. chips) collected over the Wet Tropics of Australia between December 1, 2016 and November 1, 2017. All PlanetScope imagery contains four bands of data: red, green, blue (RGB) and near infrared (NIR), and had a ground sample distance (GSD) of 3.125 m. In contrast, Sentinel-2 imagery was trimmed to contain only RGB and NIR bands, and resampled to 3.125 m resolution to match PlanetScope imagery. Here we refer to the Wet Tropics PlanetScope- and Sentinel-2-derived data as datasets T-PS and T-S2, respectively. The T-PS and T-S2 datasets were generated by splitting satellite imagery with a grid of 128×128 pixels (i.e. 400×400 m) into image scenes, and extracting a random sample of 2.5% and 0.5% scenes per time step, respectively. This resulted in 4,943 and 4,993 image scenes in T-PS and T-S2 datasets, respectively. Datasets T-PS and T-S2 were manually labeled with 12 labels split into three groups: 1) Cloud labels (‘clear’, ‘partly cloudy’, ‘cloudy’, ‘haze’). 2) Shade labels (‘unshaded’, ‘partly shaded’, ‘shaded’), which indicated the level of shade caused by cloud cover on a specific scene. 3) Land cover labels (‘forest’, ‘bare ground’, ‘water’, ‘agriculture’, ‘habitation’). Labels belonging to cloud and shade label groups are mutually exclusive for each scene, that is, each image scene received exactly one shade label and one cloud label.
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Contributors: Xiuting Li, Dai Xu, Zhilei Fu, Chao Teng, Ran Yang, Qiuhua Wu, Guangsen Fan, Pengxiao Liu
Date: 2019-09-17
... Reasearch data for this study.
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Contributors: Hoai Nam Huynh, Edouard Rivière-Lorphèvre, Keivan ahmadi, Olivier Verlinden, Hamed Assadi
Date: 2019-09-17
... Data used in the paper entitiled "Modelling the dynamics of industrial robots for milling operations" User will find the code to identify the inertial parameter of an industrial robot limited its first 3 joints. Data are provided for the studied example in the paper: KUKA KR90 R3100 HA robot. Matlab code is provided and implements the least squares method to identify the inertial parameters of the robot. Measured FRFs of the KUKA robot are also provided for the three studied postures in the paper.
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Contributors: Otto Strack, Taha Namazi, Bonnie Ausk
Date: 2019-09-16
... Source file of the MATLAB code created to produce the graphics published in the paper.
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Contributors: Xin Geng, Kai Sun
Date: 2019-09-16
... These files facilitate the replication of the Monte Carlo simulation and empirical application results in the paper.
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Contributors: Otto Strack, Taha Namazi, Bonnie Ausk
Date: 2019-09-16
... MATLAB code used to generate the figures in the paper.
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Contributors: Dmitrii Borisov
Date: 2019-09-16
... The dataset includes scanned seismic records collected during cruise 9209 of the RV Maurice Ewing (1992) using the Krupp-Atlas Hydrosweep sub-bottom echo-sounder (3.5 kHz). The dataset is composed both of the raw scanned images and processed scanned images. Seismic records were provided to the author of this work by the Lamont Doherty Earth Observatory (Earth Institute, Columbia University, USA). Processed ship-based Navigation Data acquired during the Maurice Ewing expedition EW9209 (1992) can be downloaded from the Marine Geoscience Data System: http://www.marine-geo.org/tools/search/Files.php?data_set_uid=11449
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Contributors: maximus taek, Leonardus Banilodu, Gregorius Neonbasu, Yohanes Vianney Watu, Mangestuti Agil, Bambang Prajogo EW
Date: 2019-09-16
... Supplementary data PLANTS USED FOR THE TREATMENT OF MALARIA BY TETUN ETHNIC PEOPLE IN WEST TIMOR (INDONESIA) Note: 1. Data collected in April 20017 to December 2017 in Belu and Malaka Districts (West Timor, Indonesia). 2. Data collected by interview on 94 informants of Tetun ethnic people.
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Contributors: Andrew Huang
Date: 2019-09-16
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Contributors: chiara portesi, Valter Maurino, Maria Cesarina Abete, A. M. Rossi, Francesca Durbiano, Davide Visentin, Marco Rizzi
Date: 2019-09-16
... Identification and quantification of Non Intentionally Added Substances (NIAS) at low concentrations and eventually their distribution on Low Density Polyethylene (LDPE) films is an important issue. As Raman spectroscopy techniques are innovative and sensitive analytical methods and do not require pretreatment and manipulation of the sample, these were used for the identification of NIAS in LDPE pellet and films, which are commonly used for food packaging applications. The aggregation state of NIAS in LDPE were observed by Raman imaging with micrometric resolution. Four main NIAS compounds were identified in granule and film surfaces by confocal Raman spectroscopy: calcite (CaCO3), calcium sulphate (CaSO4), polystyrene (PS) and titanium dioxide (TiO2) in anatase form. By a semi-quantitative evaluation of the inorganic NIAS, 9.93 mg/kg of CaCO3, 1.62 mg/kg of CaSO4 and 0.17 mg/kg of TiO2 were estimated. The experimental findings achieved by Raman analysis were confirmed by the results obtained by Inductively Coupled Plasma-Mass Spectrometry (ICP-MS). Moreover, the toxicity of the identified compounds was examined according to the Cramer rules.
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