2,811 to 2,820 of 2,942 Results
TIFF Image - 54.0 MB -
MD5: 567f205d1f0c978d131264ec47763fa3
2019-2050 projected burned area (fire) in the GOV scenario, Units: square kilometers. Deforestation prior to 2019 is represented with value "-1" and areas deforested after 2019 are represented with value "-2". Spatial resolution: 900x900m. |
TIFF Image - 54.0 MB -
MD5: 3bd3d6819374df9629e9b430574b5c65
2019-2050 projected area under the effects of timber extraction (logging) in the GOV scenario. Units: square kilometers. Deforestation prior to 2019 is represented with value "-1" and areas deforested after 2019 are represented with value "-2". Spatial resolution: 900x900m. |
TIFF Image - 54.0 MB -
MD5: 37482b842df02ef54563c9a27cfc0d09
2019-2050 projected number of extreme droughts in the GOV scenario, Units: dimensionless (number of droughts). Deforestation prior to 2019 is represented with value "-1" and areas deforested after 2019 are represented with value "-2". Spatial resolution: 900x900m. |
R Syntax - 3.0 KB -
MD5: e6949d52df01e8cb6c1b022e26f5ba6b
Script for estimating timber extraction area (logging) and carbon loss in the 2019-2050 period. Please see README_Fig5.txt. |
TIFF Image - 129.2 KB -
MD5: 1fe00a8b57846cf0affdfaa5e09e9f52
Map showing the forest area subject to timber extraction (logging) in the 2001-2018 period. Spatial resolution of 27x27km. |
R Syntax - 4.0 KB -
MD5: d8c68783297b11648dfeb5a9eeef0072
Script for estimating number of extreme droughts (from MCWD) and carbon loss in the 2019-2050 period. Please see README_Fig5.txt. |
Plain Text - 478 B -
MD5: d4dee15e0adbfea6d43776d537c6d642
"Readme" file to run the future_degradation.Rproj script, which is used to generate the maps shown in the article's Figure 5. |
Rich Text Format - 828 B -
MD5: 3610beba28daa77a6cf3dbc18aab58ea
Instructions for using scripts to generate burned area (fire) extent estimate in the 2001-2018 period shown in article's Figure 2. |
Oct 5, 2022
Brunelli, Ana Claudia, 2022, "Data supporting: ultrasound elastography for the diagnosis of endometriosis and adenomyosis: a systematic review with meta-analysis", https://doi.org/10.25824/redu/WMI7TX, Repositório de Dados de Pesquisa da Unicamp, V2
Supplementary material for the systematic review titled "Ultrasound elastography for the diagnosis of endometriosis and adenomyosis: a systematic review with meta-analysis", by the authors Ana Claudia Brunelli¹, Luiz Gustavo de Oliveira Brito¹, Flávia Assad Salum Moro¹, Rodrigo M... |
Adobe PDF - 90.7 KB -
MD5: 53e01bbeeed26c847a97b194cc8a7cae
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