1,721,334 research outputs found
Alpine ice sheet glacial cycle simulations animation frames
No full textThese data contain a visualization achieved by spatial interpolation of time-dependent glacier model output variables onto higher-resolution topography data than the one used in the model. The animation resulting of all frames combined (English version) can be visualized at https://vimeo.com/322189870.
References:
Seguinot, J., Ivy-Ochs, S., Jouvet, G., Huss, M., Funk, M., and Preusser, F.: Modelling last glacial cycle ice dynamics in the Alps, The Cryosphere, 12, 3265-3285, doi:10.5194/tc-12-3265-2018, 2018.
Seguinot., J. (2020). Alpine ice sheet glacial cycle simulations continuous variables, Zenodo, doi:10.5281/zenodo.3604142, 2020.
File names:
anim_alps_4k_*.zip
Main animation layer
main_al_co_1ka: color frames every 1 ka
main_al_co_200a: every 200 a except every 1 ka
main_al_co_1ka: every 40 a except every 200 a
Animation overlays
city_al: fixed-frame city overlays in multiple languages
tbar_??_1200: time bar overlay in multiple languagesThis work was supported by the Swiss National Science Foundation (SNSF) grants 200020-169558 and 200021-153179/1, and the Swiss National Supercomputing Centre (CSCS) grants s573 and sm13
Alpine ice sheet glacial cycle simulations aggregated variables
No full textThese data contain time-integrated and otherwise time-reduced glacier model output variables.
Reference:
Seguinot, J., Ivy-Ochs, S., Jouvet, G., Huss, M., Funk, M., and Preusser, F.: Modelling last glacial cycle ice dynamics in the Alps, The Cryosphere, 12, 3265-3285, doi:10.5194/tc-12-3265-2018, 2018.
File names:
alpcyc.{1km|2km}.{epic|grip|md01}.{cp|pp}.agg.nc
Horizontal resolution:
1km: 1 km horizontal resolution
2km: 2 km horizontal resolution
Temperature forcing:
epic: EPICA ice core temperature forcing
grip: GRIP ice core temperature forcing
md01: MD01-2444 core temperature forcing
Precipitation forcing:
cp: constant precipitation
pp: palaeo-precipitation reduction
Data format:
The data use compressed netCDF format. For quick inspection I recommend ncview. Conversion to GeoTIFF (and other GIS formats) can be achieved with e.g. GDAL::
gdal_translate NETCDF:filename.nc:variable filename.variable.tif
The list of variables (subdatasets) can be obtained from ncdump or gdalinfo. To convert all variables to separate files use:
gdalinfo sub {filename%.nc}.{sub##*:}.tif
done
Variable long names, units, PISM configuration parametres and additional information are contained within the netCDF metadata. Also see continuous variables.
Changelog:
Version 2:
Add age coordinate in kiloyears (ka) before present.
Use ka units for covertime, deglacage and maxthkage.
Version 1:
Initial version
</ul
Cordilleran ice sheet glacial cycle simulations continuous variables
No full textThese data contain a subset of time-dependent glacier model output variables:
Reference:
J. Seguinot, I. Rogozhina, A. P. Stroeven, M. Margold, and J. Kleman. Numerical simulations of the Cordilleran ice sheet through the last glacial cycle, The Cryosphere, 10(2):639–664, 10.5194/tc-10-639-2016, 2016.
File names:
ciscyc4.{10km|5km}.{forcing}.{ex.1ka|ts.10a}.nc
Horizontal resolution:
10km: 10 km horizontal resolution
5km: 5 km horizontal resolution
Temperature forcing:
epica: EPICA ice core temperature forcing
grip: GRIP ice core temperature forcing
ngrip: NGRIP ice core temperature forcing
odp1012: ODP 1012 ocean core temperature forcing
odp1020: ODP 1020 ocean core temperature forcing
vostok: Vostok ice core temperature forcing
Variable types:
ex.1ka: spatial diagnostics every thousand years
ts.10a: scalar time-series every ten years
Data format:
The data use compressed netCDF format. For quick inspection I recommend ncview. Spatial diagnostics (*.ex.1ka.nc) can be converted to GeoTIFF (and other GIS formats) e.g. using GDAL:
gdal_translate NETCDF:filename.nc:variable -b band filename.variable.band.tif
The list of variables (subdatasets) can be obtained from ncdump or gdalinfo. The band number equals 120 minus the age in ka. Band information can be displayed with:
gdalinfo NETCDF:filename.nc:variable
Variable long names, units, PISM configuration parametres and additional information are contained within the netCDF metadata.</p
Alpine ice sheet glacial cycle simulations continuous variables
No full textThese data contain a subset of time-dependent glacier model output variables.
Reference:
Seguinot, J., Ivy-Ochs, S., Jouvet, G., Huss, M., Funk, M., and Preusser, F.: Modelling last glacial cycle ice dynamics in the Alps, The Cryosphere, 12, 3265-3285, doi:10.5194/tc-12-3265-2018, 2018.
File names:
alpcyc.{1km|2km}.{epic|grip|md01}.{cp|pp}.{ex.1ka|ts.10a}.nc
Horizontal resolution:
1km: 1 km horizontal resolution
2km: 2 km horizontal resolution
Temperature forcing:
epic: EPICA ice core temperature forcing
grip: GRIP ice core temperature forcing
md01: MD01-2444 core temperature forcing
Precipitation forcing:
cp: constant precipitation
pp: palaeo-precipitation reduction
Variable types:
ex.1ka: spatial diagnostics every thousand years
ts.10a: scalar time-series every ten years
Data format: The data use compressed netCDF format. For quick inspection I recommend ncview. Spatial diagnostics (*.ex.1ka.nc) can be converted to GeoTIFF (and other GIS formats) e.g. using GDAL:
gdal_translate NETCDF:filename.nc:variable -b band filename.variable.band.tif
The list of variables (subdatasets) can be obtained from ncdump or gdalinfo. The band number equals 120 minus the age in ka. Band information can be displayed with:
gdalinfo NETCDF:filename.nc:variable
Variable long names, units, PISM configuration parametres and additional information are contained within the netCDF metadata. Also see aggregated variables.
Changelog:
Version 2:
Add age coordinate in kiloyears (ka) before present.
Replace NCO by Xarray workflow (no effect on the results).
Version 1:
Initial version.
</ul
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
No full text“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Alpine ice sheet glacial cycle simulations aggregated variables
No full text<p>These data contain time-integrated and otherwise time-reduced glacier model output variables.</p>
<p><strong>Reference:</strong></p>
<ul>
<li>Seguinot, J., Ivy-Ochs, S., Jouvet, G., Huss, M., Funk, M., and Preusser, F.: Modelling last glacial cycle ice dynamics in the Alps, <em>The Cryosphere</em>, 12, 3265-3285, doi:<a href="https://doi.org/10.5194/tc-12-3265-2018">10.5194/tc-12-3265-2018</a>, 2018.</li>
</ul>
<p><strong>File names:</strong></p>
<pre><code>alpcyc.{1km|2km}.{epic|grip|md01}.{cp|pp}.agg.nc</code></pre>
<ul>
<li>Horizontal resolution:
<ul>
<li><em>1km</em>: 1 km horizontal resolution</li>
<li><em>2km</em>: 2 km horizontal resolution</li>
</ul>
</li>
<li>Temperature forcing:
<ul>
<li><em>epic</em>: EPICA ice core temperature forcing</li>
<li><em>grip</em>: GRIP ice core temperature forcing</li>
<li><em>md01</em>: MD01-2444 core temperature forcing</li>
</ul>
</li>
<li>Precipitation forcing:
<ul>
<li><em>cp</em>: constant precipitation</li>
<li><em>pp</em>: palaeo-precipitation reduction</li>
</ul>
</li>
</ul>
<p>Please refer to netCDF metadata for additional information. See also <a href="https://doi.org/10.5281/zenodo.1423176">continuous</a> variables.</p>This work was supported by the Swiss National Science Foundation (SNSF) grants 200020-169558 and 200021-153179/1, and the Swiss National Supercomputing Centre (CSCS) grants s573 and sm13
Dispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
- …
