Application of data integration for deformation potential mapping using remotely acquired data sets within the Lynn Lake Greenstone Belt, northwestern Manitoba, Canada

2003 ◽  
Vol 29 (4) ◽  
pp. 458-471 ◽  
Author(s):  
Derek Rogge ◽  
N M Halden ◽  
C. Beaumont-Smith
Keyword(s):  
Data Integration ◽  
Greenstone Belt ◽  
Data Sets ◽  
Deformation Potential ◽  
Potential Mapping ◽  
Lynn Lake

scholarly journals Age relationships and preliminary U-Pb zircon geochronology results from the Lynn Lake Greenstone Belt

2018 ◽  
Author(s):  
C J M Lawley ◽  
D Schneider ◽  
E Yang ◽  
W J Davis ◽  
S E Jackson ◽  
...  
Keyword(s):  
Greenstone Belt ◽  
Zircon Geochronology ◽  
Lynn Lake

Analysis and Integration of Biological Data

2010 ◽  
pp. 287-314
Author(s):  
Diego Milone ◽  
Georgina Stegmayer ◽  
Matías Gerard ◽  
Laura Kamenetzky ◽  
Mariana López ◽  
...  
Keyword(s):  
Data Integration ◽  
New Technologies ◽  
Biological Significance ◽  
Neural Model ◽  
Biological Data ◽  
Data Sets ◽  
Clustering Methods ◽  
Gene Expressions ◽  
Internal Coherence ◽  
Biological Data Integration

The volume of information derived from post genomic technologies is rapidly increasing. Due to the amount of involved data, novel computational methods are needed for the analysis and knowledge discovery into the massive data sets produced by these new technologies. Furthermore, data integration is also gaining attention for merging signals from different sources in order to discover unknown relations. This chapter presents a pipeline for biological data integration and discovery of a priori unknown relationships between gene expressions and metabolite accumulations. In this pipeline, two standard clustering methods are compared against a novel neural network approach. The neural model provides a simple visualization interface for identification of coordinated patterns variations, independently of the number of produced clusters. Several quality measurements have been defined for the evaluation of the clustering results obtained on a case study involving transcriptomic and metabolomic profiles from tomato fruits. Moreover, a method is proposed for the evaluation of the biological significance of the clusters found. The neural model has shown a high performance in most of the quality measures, with internal coherence in all the identified clusters and better visualization capabilities.

Data integration of exploration data using colour space on an image processor

1989 ◽  
Vol 20 (2) ◽  
pp. 31 ◽  
Author(s):  
G.A. Spencer ◽  
D.F. Pridmore ◽  
D.J. Isles
Keyword(s):  
Data Integration ◽  
Effective Means ◽  
Hard Copy ◽  
Data Sets ◽  
Independent Data ◽  
Vector Data ◽  
Integration Process ◽  
Colour Space ◽  
Airborne Geophysical Data ◽  
Data Management Software

lmage processing in exploration has rapidly evolved into the field of data integration, whereby independent data sets which coincide in space are displayed concurrently. Interrelation-ships between data sets which may be crucial to exploration can thus be identified much more effectively than with conventional hard copy overlays. The use of perceptual colour space; hue, saturation and luminosity (HSL) provides an effective means for integrating raster data sets, as illustrated with the multi-spectral scanner and airborne geophysical data from the Kambalda area in Western Australia. The integration process must also cater for data in vector format, which is more appropriate for geological, topographic and cultural information, but to date, image processing systems have poorly captured and managed such data. As a consequence, the merging of vector data management software such as GIS (geographic information system) with existing advanced image enhancement packages is an area of active development in the exploration industry.

The Promise and Challenge of Archaeological Data Integration

2006 ◽  
Vol 71 (3) ◽  
pp. 567-578 ◽  
Author(s):  
Keith Kintigh
Keyword(s):  
Data Integration ◽  
National Science Foundation ◽  
Information Infrastructure ◽  
Structured Data ◽  
Data Sets ◽  
Archaeological Data ◽  
National Science ◽  
Disparate Data ◽  
Legacy Data

This forum reports the results of a National Science Foundation—funded workshop that focused on the integration and preservation of digital databases and other structured data derived from archaeological contexts. The workshop concluded that for archaeology to achieve its potential to advance long-term, scientific understandings of human history, there is a pressing need for an archaeological information infrastructure that will allow us to archive, access, integrate, and mine disparate data sets. This report provides an assessment of the informatics needs of archaeology, articulates an ambitious vision for a distributed disciplinary information infrastructure (cyberinfrastructure), discusses the challenges posed by its development, and outlines initial steps toward its realization. Finally, it argues that such a cyberinfrastructure has enormous potential to contribute to anthropology and science more generally. Concept-oriented archaeological data integration will enable the use of existing data to answer compelling new questions and permit syntheses of archaeological data that rely not on other investigators' conclusions but on analyses of meaningfully integrated new and legacy data sets.

scholarly journals Preface: “Improving seismic networks performances: from site selection to data integration (EGU2019 SM5.2 session)”

2020 ◽  
Vol 51 ◽  
pp. 25-28
Author(s):  
Damiano Pesaresi ◽  
Helle Pedersen ◽  
Angelo Strollo
Keyword(s):  
Data Integration ◽  
Data Acquisition ◽  
Site Selection ◽  
Data Sets ◽  
Seismic Stations ◽  
Equipment Testing ◽  
Seismic Networks ◽  
Communication Paths ◽  
Operation And Management

Abstract. The number and quality of seismic stations and networks in Europe continually improves, nevertheless there is always scope to optimize their performance. In this EGU2019 SM5.2/GI4.13 session we welcomed contributions from all aspects of seismic network installation, operation and management. This includes site selection; equipment testing and installation; planning and implementing communication paths; policies for redundancy in data acquisition, processing and archiving; and integration of different data sets including GPS and OBS.

Introduction to this special section: Cross-disciplinary applications of geophysics

2018 ◽  
Vol 37 (9) ◽  
pp. 654-654
Author(s):  
Kyle Spikes ◽  
Yongyi Li
Keyword(s):  
Data Integration ◽  
Special Section ◽  
Unconventional Reservoirs ◽  
Data Sets ◽  
Data Types ◽  
Multiple Data

As the volume of seismic and other data types continues to increase, the use of such data sets has extended to different approaches and techniques of data integration and interpretation. The intent of this special section on cross-disciplinary applications of geophysics is to highlight such uses of multiple data types. Although not limited to any type or location of a given reservoir, the two articles in this section primarily focus on onshore unconventional reservoirs. Nonetheless, the techniques and approaches will also be of interest to readers and practitioners who deal with conventional reservoirs, both onshore and offshore.

scholarly journals KEGGscape: a Cytoscape app for pathway data integration

F1000Research ◽  
2014 ◽  
Vol 3 ◽  
pp. 144 ◽  
Author(s):  
Kozo Nishida ◽  
Keiichiro Ono ◽  
Shigehiko Kanaya ◽  
Koichi Takahashi
Keyword(s):  
Experimental Data ◽  
Data Integration ◽  
Web Application ◽  
Biological Database ◽  
Data Sets ◽  
E Coli ◽  
Pathway Data ◽  
Visual Style ◽  
Interactive Visualizations ◽  
Pathway Diagrams

In this paper, we present KEGGscape a pathway data integration and visualization app for Cytoscape (http://apps.cytoscape.org/apps/keggscape). KEGG is a comprehensive public biological database that contains large collection of human curated pathways. KEGGscape utilizes the database to reproduce the corresponding hand-drawn pathway diagrams with as much detail as possible in Cytoscape. Further, it allows users to import pathway data sets to visualize biologist-friendly diagrams using the Cytoscape core visualization function (Visual Style) and the ability to perform pathway analysis with a variety of Cytoscape apps. From the analyzed data, users can create complex and interactive visualizations which cannot be done in the KEGG PATHWAY web application. Experimental data with Affymetrix E. coli chips are used as an example to demonstrate how users can integrate pathways, annotations, and experimental data sets to create complex visualizations that clarify biological systems using KEGGscape and other Cytoscape apps.

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