publications component

src/app/resources/publications/page.mdx

@@ -1 +1,6 @@
-# Publications
+import BibliographySearch from '@/components/Bibliography';
+import {bibtex} from './references';
+
+# Publications
+
+<BibliographySearch bibData={bibtex} />

src/app/resources/publications/references.ts

@@ -0,0 +1,134 @@
+export const bibtex = `---
+---
+@article{reichstein2025ews,
+  abbr = {Nat. Commun.},
+  title={Early warning of complex climate risk with integrated artificial intelligence},
+  author={Reichstein*, Markus and Benson*, Vitus and Blunk, Jan and Camps-Valls, Gustau and Creutzig, Felix and Fearnley, Carina J and Han, Boran and Kornhuber, Kai and Rahaman, Nasim and Sch{\"o}lkopf, Bernhard and Tárraga, José María and Frank, Dorothea and Martini, Giulia and Vinuesa, Ricardo and Dall, Karen and Denzler, Joachim and Nganga, Naomi and Maddix Robinson, Danielle and Weldemariam, Kommy},
+  journal={Nature Communications},
+  volume={16},
+  number={1},
+  pages={2564},
+  year={2025},
+  month={March},
+  publisher={Nature Publishing Group UK London},
+  pdf={https://www.nature.com/articles/s41467-025-57640-w},
+  preview={reichstein_ncomms_2025.png},
+  selected={true},
+  bibtex_show={true},
+}
+
+@article{ji2025deepextremecubes,
+  abbr = {Sci. Data},
+  title={DeepExtremeCubes: Earth system spatio-temporal data for assessing compound heatwave and drought impacts},
+  author={Ji, Chaonan and Fincke, Tonio and Benson, Vitus and Camps-Valls, Gustau and Fern{\'a}ndez-Torres, Miguel-{\'A}ngel and Gans, Fabian and Kraemer, Guido and Martinuzzi, Francesco and Montero, David and Mora, Karin and Pellicer-Valero, Oscar J. and Robin, Claire and Söchting, Maximilian and Weynants, Mélanie and Mahecha, Miguel D.},
+  journal={Scientific Data},
+  volume={12},
+  number={1},
+  pages={149},
+  year={2025},
+  month={January},
+  publisher={Nature Publishing Group UK London},
+  pdf={https://doi.org/10.1038/s41597-025-04447-5},
+  bibtex_show={true},
+  selected={false},
+  preview = {ji_scidata_2025.png},
+  code={https://github.com/DeepExtremes/minicube-generation},
+}
+
+@article{benson2024neuraltransport,
+      abbr = {JAMES},
+      title={Atmospheric Transport Modeling of CO2 with Neural Networks}, 
+      author={Benson, Vitus and Bastos, Ana and Reimers, Christian and Winkler, Alexander J. and Yang, Fanny and Reichstein, Markus},
+      year={2025},
+      month={February},
+      pages={e2024MS004655},
+      journal={Journal of Advances in Modeling Earth Systems},
+      volume={17},
+      number={2},
+      publisher={Wiley Online Library},
+      pdf={https://doi.org/10.1029/2024MS004655},
+      bibtex_show={true},
+      selected={true},
+      preview = {benson_james_2024.gif},
+      code={https://github.com/vitusbenson/carbonbench},
+}
+
+@article{yang2024wooddensity,
+abbr = {GCB},
+author = {Yang, Hui and Wang, Siyuan and Son, Rackhun and Lee, Hoontaek and Benson, Vitus and Zhang, Weijie and Zhang, Yahai and Zhang, Yuzhen and Kattge, Jens and Boenisch, Gerhard and Schepaschenko, Dmitry and Karaszewski, Zbigniew and Stereńczak, Krzysztof and Moreno-Martínez, Álvaro and Nabais, Cristina and Birnbaum, Philippe and Vieilledent, Ghislain and Weber, Ulrich and Carvalhais, Nuno},
+title = {Global patterns of tree wood density},
+journal = {Global Change Biology},
+volume = {30},
+number = {3},
+pages = {e17224},
+pdf = {https://doi.org/10.1111/gcb.17224},
+bibtex_show={true},
+selected={false},
+preview = {yang_gcb_2024.jpg},
+code={https://gitlab.gwdg.de/siyuan.wang/global-wood-density},
+year = {2024},
+month={March},
+}
+
+
+@article{benson2024multimodal,
+      abbr = {CVPR},
+      title={Multi-modal Learning for Geospatial Vegetation Forecasting}, 
+      author={Benson, Vitus and Robin, Claire and Requena-Mesa, Christian and Alonso, Lazaro and Carvalhais, Nuno and Cort{\'e}s, Jos{\'e} and Gao, Zhihan and Linscheid, Nora and Weynants, M{\'e}lanie and Reichstein, Markus},
+      year={2024},
+      month = {June},
+      pages = {27788-27799},
+      journal = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
+      pdf={https://openaccess.thecvf.com/content/CVPR2024/html/Benson_Multi-modal_Learning_for_Geospatial_Vegetation_Forecasting_CVPR_2024_paper.html},
+      bibtex_show={true},
+      selected={true},
+      preview = {benson_cvpr_2024.gif},
+      code={https://github.com/vitusbenson/greenearthnet},
+}
+
+@article{benson.etal_2024,
+  abbr = {ERL},
+  title = {Measuring Tropical Rainforest Resilience under Non-{{Gaussian}} Disturbances},
+  author = {Benson, Vitus and Donges, Jonathan F. and Boers, Niklas and Hirota, Marina and Morr, Andreas and Staal, Arie and Vollmer, Jürgen and Wunderling, Nico},
+  year = {2024},
+  month = {January},
+  journal = {Environmental Research Letters},
+  volume = {19},
+  number = {2},
+  pages = {024029},
+  publisher = {{IOP Publishing}},
+  doi = {10.1088/1748-9326/ad1e80},
+  pdf = {https://dx.doi.org/10.1088/1748-9326/ad1e80},
+  bibtex_show={true},
+  selected={false},
+  preview = {benson_erl_2024.png},
+  code={https://github.com/vitusbenson/tropical_rainforest_resilience_nongaussian},
+}
+
+
+@article{requena-mesa.etal_2021,
+  abbr = {EarthVision},
+  title = {{{EarthNet2021}}: {{A Large-Scale Dataset}} and {{Challenge}} for {{Earth Surface Forecasting}} as a {{Guided Video Prediction Task}}.},
+  author = {Requena-Mesa*, Christian and Benson*, Vitus and Reichstein, Markus and Runge, Jakob and Denzler, Joachim},
+  year = {2021},
+  month = {June},
+  pages = {1132--1142},
+  pdf = {https://openaccess.thecvf.com/content/CVPR2021W/EarthVision/html/Requena-Mesa_EarthNet2021_A_Large-Scale_Dataset_and_Challenge_for_Earth_Surface_Forecasting_CVPRW_2021_paper.html},
+  journal = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
+  bibtex_show={true},
+  selected={false},
+  preview = {requenamesa_earthvision_2021.gif},
+}
+
+@article{robin.etal_2022,
+  abbr = {TCCML},
+  title = {Learning to Forecast Vegetation Greenness at Fine Resolution over {{Africa}} with {{ConvLSTMs}}},
+  author = {Robin, Claire and Requena-Mesa, Christian and Benson, Vitus and Alonso, Lazaro and Poehls, Jeran and Carvalhais, Nuno and Reichstein, Markus},
+  year = {2022},
+  month = {December},
+  pdf = {http://arxiv.org/abs/2210.13648},
+  journal = {NeurIPS Workshop Tackling {{Climate Change}} with {{Machine Learning}}},
+  bibtex_show={true},
+  selected={false},
+  preview = {robin_tccml_2022.png},
+}`;