IVOA Provenance data model: hints from the CTA Provenance prototype

We present the last developments on the IVOA Provenance data model, mainly based on the W3C PROV concept. In the context of the Cherenkov astronomy, the data processing stages imply both assumptions and comparison to dedicated simulations. As a consequence, Provenance information is crucial to the end user in order to interpret the high level data products. The Cherenkov Telescope Array (CTA), currently in preparation, is thus a perfect test case for the development of an IVOA standard on Provenance information. We describe general use-cases for the computational Provenance in the CTA production pipeline and explore the proposed W3C notations like PROV-N formats, as well as Provenance access solutions.Comment: 4 pages, 3 figures, to appear in ADASS XXV proceedings, edited by N. P. F. Lorente, & K. Shortridge (San Francisco: ASP), ASP Conf. Se

Topographic Development History of the Alaska Range

The overall goal of this project is to use variations in sediment source through time as a proxy for deciphering the uplift history of the Alaska Range (Fig. 1). In particular, we tracked variations in sediment provenance through time for the Oligocene to present Tanana Basin. The three main sediment source regions are north of the Alaska Range, south of the Alaska Range, and from the Alaska Range itself (Fig. 2). Furthermore, we will use the sediment source interpretation to test the hypothesis that the Nenana River changed direction during the Miocene (23 Ma to 5.3 Ma) (e.g. Brennan, 2012

Topographic Development History of the Alaska Range

he overall goal of this project is to use variations in sediment source through time as a proxy for deciphering the uplift history of the Alaska Range (Fig. 1). In particular, we plan to track variations in sediment provenance through time for the Oligocene to present Tanana Basin. The main possible sediment source regions are north of the Alaska Range, south of the Alaska Range, and from the Alaska Range itself (Fig. 2). Furthermore, we will use the sediment source interpretation to test the hypothesis that the Nenana River changed direction during the Miocene (23 Ma to 5.3 Ma)

Variasi Genetik Uji Provenan Merbau Sampai Umur 3 Tahun Di Bondowoso, Jawa Timur

Merbau (Intsia bijuga) is one of high economic value timbers. Establishment of seed source of merbau is essential tosupply qualified seeds for plantation. Center for Forest Biotechnology and Tree Improvement has established provenance test of merbau at Sumberwringin Research Forest in Bondowoso, East Java. The objectives of this study are to know survival and genetic variation of growth traits in provenance test plot of merbau. This provenance test was designed as Randomized Complete Block Design with single factor of provenance consisted of Halmahera Timur, Waigo, Oransbari, Wasior, Nabire and Seram. Each provenance comprises 3 blocks as replication and 60 treeplots of each block. The result showed high survival rate of all provenances (above 90 %). Moreover, genetic variation of height and stem diameter among provenances was also high. The best provenance for survival, and height for all observation years was Wasior. The best provenance for diameter for all observation years was Halmahera Timur. Meanwhile, provenance having the best value of survival, height and diameter for all observation years was Halmahera Timur. The provenance having the worst value of height and diameter for all observation years was Seram. Whereas, the worst provenance of survival at 1, 2 and 3 years old were Waigo, Halmahera Timur dan Seram, respectively

Germination responses to light of four Neotropical forest tree species along an elevational gradient in the southern Central Andes

Seed germination is a key part of plants' life cycle and is mostly affected by the genetic background, the environmental conditions experienced by the mother plant and the seedbed conditions. The germination response to light is essential to optimize germination and seedling establishment in space and time. In addition, the germination response to light is a trait often related to the response of the seeds to their position in the soil (uncovered/buried). Here, we studied the germination response to light of four key tree species of the Yungas forest (Anadenanthera colubrina, Enterolobium contortisiliquum, Jacaranda mimosifolia and Handroanthus impetiginosus) sampled along an elevational and environmental gradient with contrasting vegetation cover and disturbance. Relative light germination (RLG) and mean germination time (MGT) were determined. Final germination was tested under cycles of light (8 h) and darkness (16 h) versus complete darkness (24 h) and elevation, and MGT was tested as a function of elevation of the provenance. The RLG increased from smaller to larger-seeded species. The MGT of three of the studied species was affected by the elevation of the provenance. Complete darkness negatively affected final germination, while two species exhibited a significant interaction between the provenance and light. The variable germination responses to light along the elevational gradient highlights the influence of the environment on germination as a key factor that should be considered for forest management, conservation and restoration projects

Enhancing Workflow with a Semantic Description of Scientific Intent

Peer reviewedPreprin

The lifecycle of provenance metadata and its associated challenges and opportunities

This chapter outlines some of the challenges and opportunities associated with adopting provenance principles and standards in a variety of disciplines, including data publication and reuse, and information sciences

Provenance analysis for instagram photos

As a feasible device fingerprint, sensor pattern noise (SPN) has been proven to be effective in the provenance analysis of digital images. However, with the rise of social media, millions of images are being uploaded to and shared through social media sites every day. An image downloaded from social networks may have gone through a series of unknown image manipulations. Consequently, the trustworthiness of SPN has been challenged in the provenance analysis of the images downloaded from social media platforms. In this paper, we intend to investigate the effects of the pre-defined Instagram images filters on the SPN-based image provenance analysis. We identify two groups of filters that affect the SPN in quite different ways, with Group I consisting of the filters that severely attenuate the SPN and Group II consisting of the filters that well preserve the SPN in the images. We further propose a CNN-based classifier to perform filter-oriented image categorization, aiming to exclude the images manipulated by the filters in Group I and thus improve the reliability of the SPN-based provenance analysis. The results on about 20, 000 images and 18 filters are very promising, with an accuracy higher than 96% in differentiating the filters in Group I and Group II