scholarly journals Erratum: Korkovelos, A., et al. The Role of Open Access Data in Geospatial Electrification Planning and the Achievement of SDG7. An OnSSET-Based Case Study for Malawi. Energies 2019, 12(7), 1395

Energies ◽  
2020 ◽  
Vol 13 (19) ◽  
pp. 5044
Author(s):  
Alexandros Korkovelos ◽  
Babak Khavari ◽  
Andreas Sahlberg ◽  
Mark Howells ◽  
Christopher Arderne ◽  
...  
Keyword(s):  
Open Access ◽  
Open Access Data ◽  
Access Data

The authors wish to make a change in author names (adding new author—Dimitrios Mentis) to this paper [...]

scholarly journals The Role of Open Access Data in Geospatial Electrification Planning and the Achievement of SDG7. An OnSSET-Based Case Study for Malawi

Energies ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 1395 ◽  
Author(s):  
Alexandros Korkovelos ◽  
Babak Khavari ◽  
Andreas Sahlberg ◽  
Mark Howells ◽  
Christopher Arderne
Keyword(s):  
Decision Making ◽  
Open Access ◽  
Universal Access ◽  
Geospatial Data ◽  
Baseline Scenario ◽  
Considerable Impact ◽  
Access Data ◽  
Demand Projection

Achieving universal access to electricity is a development challenge many countries are currently battling with. The advancement of information technology has, among others, vastly improved the availability of geographic data and information. That, in turn, has had a considerable impact on tracking progress as well as better informing decision making in the field of electrification. This paper provides an overview of open access geospatial data and GIS based electrification models aiming to support SDG7, while discussing their role in answering difficult policy questions. Upon those, an updated version of the Open Source Spatial Electrification Toolkit (OnSSET-2018) is introduced and tested against the case study of Malawi. At a cost of $1.83 billion the baseline scenario indicates that off-grid PV is the least cost electrification option for 67.4% Malawians, while grid extension can connect about 32.6% of population in 2030. Sensitivity analysis however, indicates that the electricity demand projection determines significantly both the least cost technology mix and the investment required, with the latter ranging between $1.65–7.78 billion.

scholarly journals Regional coastal erosion assessment based on global open access data: a case study for Colombia

2018 ◽  
Vol 22 (4) ◽  
pp. 787-798 ◽  
Author(s):  
Joost Stronkhorst ◽  
Alex Levering ◽  
Gerrit Hendriksen ◽  
Nelson Rangel-Buitrago ◽  
Lars Rosendahl Appelquist
Keyword(s):  
Open Access ◽  
Coastal Erosion ◽  
Open Access Data ◽  
Access Data

Russia’s Market of Mergers and Acquisitions: Stages, Features and Prospects

2009 ◽  
pp. 23-45 ◽  
Author(s):  
A. Radygin
Keyword(s):  
Open Access ◽  
Mergers And Acquisitions ◽  
Corporate Control ◽  
Active Role ◽  
Data Bases ◽  
2008 Financial Crisis ◽  
Legal Norms ◽  
Role Of The State ◽  
Access Data

The article deals with key tendencies in the development of Russia’s market of mergers and acquisitions in the first decade of the 21st century. Quantitative parameters are analyzed by using available in the open access data bases for the years 2003-2008 taking into consideration new tendencies relating to 2008 financial crisis. An active role of the state played in the market of corporate control represents an important factor. Special attention is given to issues of development of Russia’s system of legal norms regulating the market of mergers and acquisitions.

Open source riverscapes: Analyzing the river corridor of the Naryn River in Kyrgyzstan based on open access data

2021 ◽  
Author(s):  
Florian Betz ◽  
Magdalena Lauermann ◽  
Bernd Cyffka
Keyword(s):  
Remote Sensing ◽  
Open Access ◽  
Large Scale ◽  
Data Sets ◽  
Hierarchical Systems ◽  
Geomorphological Mapping ◽  
Open Access Data ◽  
Access Data ◽  
River Corridors ◽  
River Corridor

<p>In fluvial geomorphology as well as in freshwater ecology, rivers are commonly seen as nested hierarchical systems functioning over a range of spatial and temporal scales. Thus, for a comprehensive assessment, information on various scales is required. Over the past decade, remote sensing based approaches have become increasingly popular in river science to increase the spatial scale of analysis. However, data-scarce areas have been mostly ignored so far despite the fact that most remaining free flowing – and thus ecologically valuable – rivers worldwide are located in regions characterized by a lack of data sources like LiDAR or even aerial imagery. High resolution satellite data would be able to fill this data gap, but tends to be too costly for large scale applications what limits the ability for comprehensive studies on river systems in such remote areas. This in turn is a limitation for management and conservation of these rivers.</p><p>In this contribution, we suggest an approach for river corridor mapping based on open access data only in order to foster large scale geomorphological mapping of river corridors in data-scarce areas. For this aim, we combine advanced terrain analysis with multispectral remote sensing using the SRTM-1 DEM along with Landsat OLI imagery. We take the Naryn River in Kyrgyzstan as an example to demonstrate the potential of these open access data sets to derive a comprehensive set of parameters for characterizing this river corridor. The methods are adapted to the specific characteristics of medium resolution open access data sets and include an innovative, fuzzy logic based approach for riparian zone delineation, longitudinal profile smoothing based on constrained quantile regression and a delineation of the active channel width as needed for specific stream power computation. In addition, an indicator for river dynamics based on Landsat time series is developed. For each derived river corridor parameter, a rigor validation is performed. The results demonstrate, that our open access approach for geomorphological mapping of river corridors is capable to provide results sufficiently accurate to derive reach averaged information. Thus, it is well suited for large scale river characterization in data-scarce regions where otherwise the river corridors would remain largely unexplored from an up-to-date riverscape perspective. Such a characterization might be an entry point for further, more detailed research in selected study reaches and can deliver the required comprehensive background information for a range of topics in river science.</p>

scholarly journals Advances in studying brain morphology: The benefits of open-access data

2017 ◽  
Author(s):  
Christopher R Madan
Keyword(s):  
Open Access ◽  
Brain Structure ◽  
Large Scale ◽  
Open Data ◽  
Brain Morphology ◽  
Subcortical Structures ◽  
Open Access Data ◽  
Age Related ◽  
Neuroimaging Data ◽  
Access Data

Until recently, neuroimaging data for a research study needed to be collected within one’s own lab. However, when studying inter-individual differences in brain structure, a large sample of participants is necessary. Given the financial costs involved in collecting neuroimaging data from hundreds or thousands of participants, large-scale studies of brain morphology could previously only be conducted by well-funded laboratories with access to MRI facilities and to large samples of participants. With the advent of broad open-access data-sharing initiatives, this has recently changed–here the primary goal of the study is to collect large datasets to be shared, rather than sharing of the data as an afterthought. This paradigm shift is evident as increase in the pace of discovery, leading to a rapid rate of advances in our characterization of brain structure. The utility of open-access brain morphology data is numerous, ranging from observing novel patterns of age-related differences in subcortical structures to the development of more robust cortical parcellation atlases, with these advances being translatable to improved methods for characterizing clinical disorders (see Figure 1 for an illustration). Moreover, structural MRIs are generally more robust than functional MRIs, relative to potential artifacts and in being not task-dependent, resulting in large potential yields. While the benefits of open-access data have been discussed more broadly within the field of cognitive neuroscience elsewhere (Gilmore et al., 2017; Poldrack and Gorgolewski, 2014; Van Horn and Gazzaniga, 2013; Voytek, 2016), as well as in other fields (Ascoli et al., 2017; Choudhury et al., 2014; Davies et al., 2017), the current paper is focused specifically on the implications of open data to brain morphology research.

INDATA, ENVISIONING & PROTOTYPING INFORMED BY KNOWLEDGE. OPEN-ACCESS DATA PLATFORM TO SUPPORT DESIGN SCENARIOS

2019 ◽  
Author(s):  
Ilaria Mariani ◽  
Stefano Parisi ◽  
Patrizia Bolzan ◽  
Mil Stepanovic ◽  
Michele Invernizzi ◽  
...  
Keyword(s):  
Open Access ◽  
Support Design ◽  
Open Access Data ◽  
Data Platform ◽  
Access Data
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