diff --git a/2-produce-graph/hist-evol-datasets-per-repo.png b/2-produce-graph/hist-evol-datasets-per-repo.png
index 28c859012626b8751e3979cfbe329222bd2134eb..b7470babcc97662606bff701b08b0bc55f5a4a47 100644
Binary files a/2-produce-graph/hist-evol-datasets-per-repo.png and b/2-produce-graph/hist-evol-datasets-per-repo.png differ
diff --git a/2-produce-graph/hist-quantity-year-type.png b/2-produce-graph/hist-quantity-year-type.png
index 66dfbd164be777ef611d367d734c84f07ba7bc19..57e87b073576561f4ce456963da0e9c83440b302 100644
Binary files a/2-produce-graph/hist-quantity-year-type.png and b/2-produce-graph/hist-quantity-year-type.png differ
diff --git a/2-produce-graph/pie--datacite-client.png b/2-produce-graph/pie--datacite-client.png
index 8a43c4a271f8d41e40aa49f8b460c37847ec6b94..443468ca75023388bd815ecbf2893f6219c53b4f 100644
Binary files a/2-produce-graph/pie--datacite-client.png and b/2-produce-graph/pie--datacite-client.png differ
diff --git a/2-produce-graph/pie--datacite-type.png b/2-produce-graph/pie--datacite-type.png
index 65674278d978fa866ff0101cb3647edf6c63adcb..af9308cceca1ce828c1c79d9e85df6187615ceb8 100644
Binary files a/2-produce-graph/pie--datacite-type.png and b/2-produce-graph/pie--datacite-type.png differ
diff --git a/dois-uga.csv b/dois-uga.csv
index d35b38cb87e2f1a9f179c24c0ffe3642bc980900..6e23c5b3a61cdd55bfc7af549ea9087a2c323a24 100644
--- a/dois-uga.csv
+++ b/dois-uga.csv
@@ -4800,3 +4800,19 @@ The complete dataset with the grey-scale volumes for all the specimens of the ex
 10.5281/zenodo.10578349,methal-project/EDYTHA: v1.0,Zenodo,2024.0,,Software,Creative Commons Attribution 4.0 International,Initial version.,api,True,findable,0.0,0.0,0.0,1.0,0.0,2024-01-28T19:57:14.000Z,2024-01-28T19:57:15.000Z,cern.zenodo,cern,,,,
 10.5281/zenodo.10534569,"La fréquentation en bibliothèque : Normes d'évaluation, outils de mesure et retours d'expérience",AFNOR,2023.0,fr,Text,Creative Commons Attribution 4.0 International,,api,True,findable,0.0,0.0,0.0,0.0,1.0,2024-01-19T15:57:13.000Z,2024-01-19T15:57:13.000Z,cern.zenodo,cern,"Normalisation,Fréquentation,Bibliothèque,Qualité,Statistiques,Evaluation","[{'subject': 'Normalisation'}, {'subject': 'Fréquentation'}, {'subject': 'Bibliothèque'}, {'subject': 'Qualité'}, {'subject': 'Statistiques'}, {'subject': 'Evaluation'}]",,
 10.5281/zenodo.10577878,sedInterFoam,Zenodo,2024.0,,Software,Creative Commons Attribution 4.0 International,"A three-dimensional two-phase flow solver with resolution of a free surface, sedInterFoam, has been developed for sediment transport applications. The solver is extended from sedFoam (https://zenodo.org/records/7944048), itself extended from twoPhaseEulerFoam available in the 2.1.0 release of the open-source CFD (computational fluid dynamics) toolbox OpenFOAM.",api,True,findable,0.0,0.0,0.0,0.0,1.0,2024-01-28T14:52:06.000Z,2024-01-28T14:52:06.000Z,cern.zenodo,cern,"Three-phase flow solver,OpenFoam,Sediment transport","[{'subject': 'Three-phase flow solver'}, {'subject': 'OpenFoam'}, {'subject': 'Sediment transport'}]",,
+10.5281/zenodo.10587576,Autonomous closed-loop mechanistic investigation of molecular electrochemistry via automation,Zenodo,2024.0,,Dataset,Creative Commons Attribution 4.0 International,"Here we provide the source data and source code associated with our manuscript (NCOMMS-23-50331-T) entitled ""Autonomous closed-loop mechanistic investigation of molecular electrochemistry via automation"" for its forthcoming publication in Nature Communications.
+
+'Source Data.zip' contains the raw data for the main text figures.
+
+'Source Code.zip' contains both the code for automated exhaustive experiment and the code for autonomous closed-loop workflow presented in the manuscript.
+
+'Deep-learning model for voltammogram analysis.zip' contains the deep-learning model file used in the code.",api,True,findable,0.0,0.0,0.0,0.0,0.0,2024-02-02T16:24:15.000Z,2024-02-02T16:24:16.000Z,cern.zenodo,cern,"Autonomous electrochemical research,closed-loop workflow,high-throughput experimentation,molecular electrochemistry,cyclic voltammetry,machine learning,Bayesian optimization","[{'subject': 'Autonomous electrochemical research'}, {'subject': 'closed-loop workflow'}, {'subject': 'high-throughput experimentation'}, {'subject': 'molecular electrochemistry'}, {'subject': 'cyclic voltammetry'}, {'subject': 'machine learning'}, {'subject': 'Bayesian optimization'}]",,
+10.5281/zenodo.10607085,Fighting Climate Change: Mapping the Carbon Footprint Flows of COP 28,Zenodo,2024.0,en,Dataset,Creative Commons Attribution 4.0 International,"With each additional COP conference, there is a growing chorus of criticism due to the high carbon footprint associated with the event, mostly due to the intensive amount of international air travel. There has also been a growing chorus of voices raising the related question as to whether COP conferences can become virtual to play a greater leadership role in the reduction of carbon emissions and serve as a good role model for what it is advocating to the rest of the world. COVID19 demonstrated that it was possible for billions of people to adapt and rapidly change behavior from physical face-to-face meetings to virtual online ones. Even after COVID was over, many meetings that have migrated permanently to online. In this study, we consider the feasibility of migrating COP from a currently high to a low carbon emission event, mainly by minimizing the amount of air travel and cutting indirect carbon emissions. The study is framed as an optimization problem, a tradeoff between the carbon emissions of tens of thousands of long distance flights to one global COP destination and the carbon emissions of many shorter trips to an increased number of regional destinations. ",api,True,findable,0.0,0.0,0.0,0.0,1.0,2024-02-01T17:41:33.000Z,2024-02-01T17:41:33.000Z,cern.zenodo,cern,,,,
+10.5281/zenodo.10587575,Autonomous closed-loop mechanistic investigation of molecular electrochemistry via automation,Zenodo,2024.0,,Dataset,Creative Commons Attribution 4.0 International,"Here we provide the source data and source code associated with our manuscript (NCOMMS-23-50331-T) entitled ""Autonomous closed-loop mechanistic investigation of molecular electrochemistry via automation"" for its forthcoming publication in Nature Communications.
+
+'Source Data.zip' contains the raw data for the main text figures.
+
+'Source Code.zip' contains both the code for automated exhaustive experiment and the code for autonomous closed-loop workflow presented in the manuscript.
+
+'Deep-learning model for voltammogram analysis.zip' contains the deep-learning model file used in the code.",api,True,findable,0.0,0.0,0.0,0.0,1.0,2024-02-02T16:24:16.000Z,2024-02-02T16:24:16.000Z,cern.zenodo,cern,"Autonomous electrochemical research,closed-loop workflow,high-throughput experimentation,molecular electrochemistry,cyclic voltammetry,machine learning,Bayesian optimization","[{'subject': 'Autonomous electrochemical research'}, {'subject': 'closed-loop workflow'}, {'subject': 'high-throughput experimentation'}, {'subject': 'molecular electrochemistry'}, {'subject': 'cyclic voltammetry'}, {'subject': 'machine learning'}, {'subject': 'Bayesian optimization'}]",,
+10.5281/zenodo.10607086,Fighting Climate Change: Mapping the Carbon Footprint Flows of COP 28,Zenodo,2024.0,en,Dataset,Creative Commons Attribution 4.0 International,"With each additional COP conference, there is a growing chorus of criticism due to the high carbon footprint associated with the event, mostly due to the intensive amount of international air travel. There has also been a growing chorus of voices raising the related question as to whether COP conferences can become virtual to play a greater leadership role in the reduction of carbon emissions and serve as a good role model for what it is advocating to the rest of the world. COVID19 demonstrated that it was possible for billions of people to adapt and rapidly change behavior from physical face-to-face meetings to virtual online ones. Even after COVID was over, many meetings that have migrated permanently to online. In this study, we consider the feasibility of migrating COP from a currently high to a low carbon emission event, mainly by minimizing the amount of air travel and cutting indirect carbon emissions. The study is framed as an optimization problem, a tradeoff between the carbon emissions of tens of thousands of long distance flights to one global COP destination and the carbon emissions of many shorter trips to an increased number of regional destinations. ",api,True,findable,0.0,0.0,0.0,0.0,0.0,2024-02-01T17:41:33.000Z,2024-02-01T17:41:33.000Z,cern.zenodo,cern,,,,