scholarly journals The Nansen Legacy Data Policy

2021 ◽  
Author(s):  
The Nansen Legacy
Keyword(s):  
Data Policy ◽  
Legacy Data

scholarly journals Fence Placement for Legacy Data-Race-Free Programs via Synchronization Read Detection

2016 ◽  
Vol 12 (4) ◽  
pp. 1-23
Author(s):  
Andrew J. Mcpherson ◽  
Vijay Nagarajan ◽  
Susmit Sarkar ◽  
Marcelo Cintra
Keyword(s):  
Data Race ◽  
Legacy Data

CONSTRUCTING THE ‘URBAN PROFILE’ OF AN ANCIENT GREEK CITY: EVIDENCE FROM THE OLYNTHOS PROJECT

2020 ◽  
Vol 115 ◽  
pp. 329-378
Author(s):  
Lisa C. Nevett ◽  
E. Bettina Tsigarida ◽  
Zosia H. Archibald ◽  
David L. Stone ◽  
Bradley A. Ault ◽  
...  
Keyword(s):  
Urban Infrastructure ◽  
Holistic Approach ◽  
Data Sets ◽  
Ancient Greek ◽  
Greek City ◽  
Classical Greece ◽  
Relevant Evidence ◽  
Classical Studies ◽  
Legacy Data ◽  
Greek World

This article argues that a holistic approach to documenting and understanding the physical evidence for individual cities would enhance our ability to address major questions about urbanisation, urbanism, cultural identities and economic processes. At the same time we suggest that providing more comprehensive data-sets concerning Greek cities would represent an important contribution to cross-cultural studies of urban development and urbanism, which have often overlooked relevant evidence from Classical Greece. As an example of the approach we are advocating, we offer detailed discussion of data from the Archaic and Classical city of Olynthos, in the Halkidiki. Six seasons of fieldwork here by the Olynthos Project, together with legacy data from earlier projects by the American School of Classical Studies at Athens and by the Greek Archaeological Service, combine to make this one of the best-documented urban centres surviving from the Greek world. We suggest that the material from the site offers the potential to build up a detailed ‘urban profile’, consisting of an overview of the early development of the community as well as an in-depth picture of the organisation of the Classical settlement. Some aspects of the urban infrastructure can also be quantified, allowing a new assessment of (for example) its demography. This article offers a sample of the kinds of data available and the sorts of questions that can be addressed in constructing such a profile, based on a brief summary of the interim results of fieldwork and data analysis carried out by the Olynthos Project, with a focus on research undertaken during the 2017, 2018 and 2019 seasons.

scholarly journals Data reduction and calibration for LAMOST survey

2013 ◽  
Vol 9 (S298) ◽  
pp. 428-428 ◽  
Author(s):  
Ali Luo ◽  
Jiannan Zhang ◽  
Jianjun Chen ◽  
Yihan Song ◽  
Yue Wu ◽  
...  
Keyword(s):  
Data Reduction ◽  
Effective Temperature ◽  
Type Star ◽  
First Year ◽  
General Survey ◽  
Analysis Pipeline ◽  
Spectra Analysis ◽  
Pilot Survey ◽  
Fitting Method ◽  
Data Policy

AbstractThere are three data pipelines for LAMOST survey. The raw data is reduced to one dimension spectra by the data reduction pipeline(2D pipeline), the extracted spectra are classified and measured by the spectral analysis pipeline(1D pipeline), while stellar parameters are measured by LASP pipeline.(a) The data reduction pipeline. The main tasks of the data reduction pipeline include bias calibration, flat field, spectra extraction, sky subtraction, wavelength calibration, exposure merging and wavelength band connection.(b) The spectra analysis pipeline. This pipeline is designed to classify and identify objects from the extracted spectra and to measure their redshift (or radial velocity). The PCAZ (Glazebrook et al. 1998) method is applied to do the classification and redshift measurement.(c) Stellar parameters LASP. Stellar parameters pipeline (LASP) is to estimate stellar atmospheric parameters, e.g. effective temperature Teff, surface gravity log g, and metallicity [Fe/H], for F, G and K type stars. To effectively determine those fundamental stellar measurements, three steps with different methods are employed. The first step utilizes the line indices to approximately define the effective temperature range of the analyzed star. Secondly, a set of the initial approximate values of the three parameters are given based on template fitting method. Finally, we exploit ULySS (Koleva et al. 2009) to give the final values of parameters through minimizing the χ 2 value between the observed spectrum and a multidimensional grid of model spectra which is generated by an interpolating of ELODIE library. There are two other classification for A type star and M type star. For A type star, standard MK system is employed (Gray et al. 2009) to give each object temperature class and luminosity type. For M type star, they are classified into subclasses by an improved Hammer method, and metallicity of each objects is also given.During the pilot survey, algorithms were improved and the pipelines were tested. The products of LAMOST survey will include extracted and calibrated spectra in FITS format, a catalog of FGK stars with stellar parameters, a catalog of M dwarf with subclass and metallicity, and a catalog of A type star with MK classification. A part of the pilot survey data, including about 319 000 high quality spectra with SNR > 10, a catalog of stellar parameters of FGK stars and another catalog of a subclass of M type stars have been released to the public in August 2012 (Luo et al. 2012). The general survey started from October 2012, and completed the first year survey. The formal data release one (DR1) is being prepared, which will include both pilot survey and first year general survey, and planed to be released under the LAMOST data policy.

MagIC as a FAIR Repository for America's Directional Archaeomagnetic Legacy Data

2021 ◽  
Vol 126 (10) ◽  
Author(s):  
Shelby A. Jones ◽  
Eric Blinman ◽  
Lisa Tauxe ◽  
J. Royce Cox ◽  
Stacey Lengyel ◽  
...  
Keyword(s):  
Legacy Data
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