553 research outputs found
Assessing land surface phenology in Araucaria-Nothofagus forests in Chile with Landsat 8/Sentinel-2 time series - Data and Material
No full textThis dataset contains the Enhanced Vegetation Index (EVI) data used in our research work about land surface phenology of Andean Araucaria-Nothofagus forests as well as the phenology information derived from it.
Study area: Conguillío National Park, Chile
Study period: 2016-2020
Description of datasets:
conguillio.sen2.lnd8.evi.2016.2020.nc - A raster dataset (NetCDF) of EVI values (resolution 10m). EVI was calculated from Level-2 Sentinel-2 and Landsat 8 data. To ensure harmonization, the Landsat 8 data was resampled and reprojected to Sentinel-2 properties prior to the index calculation.
evi_gb_beck_white.tif - A raster dataset (GeoTiff) of phenological metrics per year (resolution 10m). Metrics were derived by fitting a double logistic function (see Beck et al., 2006) to the smoothed and interpolated EVI pixel time series. Subsequently, the main phenological variables SOS (start of season) and EOS (end of season) were extracted using a 50% threshold value. The dataset itself is a result of the R package "greenbrown" and the layers are named accordingly (see https://greenbrown.r-forge.r-project.org/phenology.php). It is available as GeoTIFF and as R rasterfile.
Details about the methodology and results describing this dataset can be found in the following publication:
Kosczor, E., Forkel, M., Hernández, J., Kinalczyk, D., Pirotti, F. & Kutchartt, E., 2022. Assessing land surface phenology in Araucaria-Nothofagus forests in Chile with Landsat 8/Sentinel-2 time series. Int. J. Appl. Earth Obs. Geoinf. 112, 102862. https://doi.org/10.1016/j.jag.2022.10286
Lesion mapping in acute stroke aphasia and its implications for recovery
No full textItem does not contain fulltextPatients with stroke offer a unique window into understanding human brain function. Mapping stroke lesions poses several challenges due to the complexity of the lesion anatomy and the mechanisms causing local and remote disruption on brain networks. In this prospective longitudinal study, we compare standard and advanced approaches to white matter lesion mapping applied to acute stroke patients with aphasia. Eighteen patients with acute left hemisphere stroke were recruited and scanned within two weeks from symptom onset. Aphasia assessment was performed at baseline and six-month follow-up. Structural and diffusion MRI contrasts indicated an area of maximum overlap in the anterior external/extreme capsule with diffusion images showing a larger overlap extending into posterior perisylvian regions. Anatomical predictors of recovery included damage to ipsilesional tracts (as shown by both structural and diffusion images) and contralesional tracts (as shown by diffusion images only). These findings indicate converging results from structural and diffusion lesion mapping methods but also clear differences between the two approaches in their ability to identify predictors of recovery outside the lesioned regions.13 p
CLDFBench. Give your Cross-Linguistic data a lift
No full textForkel R, List J-M. CLDFBench. Give your Cross-Linguistic data a lift. In: Calzolari N, ed. Proceedings of the Twelfth International Conference on Language Resources and Evaluation. Luxembourg: European Language Resources Association (ELRA); 2020: 6995‑7002
The World Loanword Database (WOLD) 2009
No full text<p>Haspelmath, Martin & Tadmor, Uri (eds.) 2009. World Loanword Database. Leipzig: Max Planck Institute for Evolutionary Anthropology. (Available online at http://wold.clld.org)</p>This deposit contains both, the data of WOLD as well as the software serving http://wold.clld.org. Robert Forkel is author of the latter
Glottolog database 2.3
No full text<p>Hammarström, Harald & Forkel, Robert & Haspelmath, Martin & Nordhoff, Sebastian. 2014. Glottolog 2.3. Leipzig: Max Planck Institute for Evolutionary Anthropology. (Available online at http://glottolog.org)</p>
glottolog/glottolog: Glottolog database 4.0
No full text<p>Hammarström, Harald & Forkel, Robert & Haspelmath, Martin. 2019. Glottolog 4.0. Jena: Max Planck Institute for the Science of Human History. (Available online at <a href="https://glottolog.org">https://glottolog.org</a>)</p>
clld/glottolog: Glottolog database 3.3.2
No full text<p>Hammarström, Harald & Forkel, Robert & Haspelmath, Martin. 2018. Glottolog 3.3.2. Jena: Max Planck Institute for the Science of Human History. (Available online at <a href="http://glottolog.org">http://glottolog.org</a>)</p>
glottolog/glottolog-cldf: Glottolog database 4.0 as CLDF
No full text<p>Hammarström, Harald & Forkel, Robert & Haspelmath, Martin. 2019. Glottolog 4.0. Jena: Max Planck Institute for the Science of Human History. (Available online at <a href="https://glottolog.org">https://glottolog.org</a>)</p>
glottolog-data: Glottolog database 2.4
No full text<p>Hammarström, Harald & Forkel, Robert & Haspelmath, Martin & Bank, Sebastian. 2015. Glottolog 2.4. Leipzig: Max Planck Institute for Evolutionary Anthropology. (Available online at http://glottolog.org)</p>
clld/glottolog: Glottolog database 3.2
No full text<p>Hammarström, Harald & Bank, Sebastian & Forkel, Robert & Haspelmath, Martin. 2018. Glottolog 3.2. Jena: Max Planck Institute for the Science of Human History. (Available online at <a href="http://glottolog.org">http://glottolog.org</a>)</p>
- …
