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opencc-by-sa-4.0Sep 2021View details →

Drones' footage of a flood exercise scenario

This dataset is collected during a flood exercise scenario in the framework of the ARTION project.  The operation took place on the 21st of February 2021 on the shore of an artificial lake in Achna, in Cyprus (coordinates: 35.055556, 33.812222), in order to simulate a realistic flood management scenario. The operations included: water pumping, establishment and operation of an emergency operation center and first aid station, and search and rescue of thee missing persons (one found in the water). The exercise was organized and conducted by the Cyprus Civil Defence and data collection was performed by the KIOS Research and Innovation Center of Excellence of the University of Cyprus.  The dataset consists of raw video files (.mp4) capturing the entire exercise. The videos were capture by 3 drones (0001, 0002, 0003) flying at approximately 120 meters above the ground.

opencc-by-sa-4.0Sep 2021View details →

First responders' mobile phone traces during a search-and-rescue exercise scenario

This dataset is collected during a search-and-rescue exercise scenario in the framework of the ARTION project.  The operation took place on the 11th of April 2021 in an abandoned village (Vretsia) in Paphos district, in Cyprus.  The exercise scenario was the following: After a tornado, seven campers who were in the village at the time of the tornado  are reported as missing. Some of them are injured. The operations included: establishment and operation of an emergency  operation center, first aid station, and drone operation center. For the search-and-rescue operations two rescue teams, a first responder with a rescue dog and a drone were deployed.  1.    The rescue dog detects a person. A lightly injured woman is searched and found. The medic team rushes to help      and finally accompanies the person to the operation center/first aid station.  2.    A victim is identified by the drone and rescued by the Medic Team. 3.    The Rescue Team #1 founds an unconscious male and the Medic Team rushes to the rescue.  4.    The Rescue Team #2 founds an injured female person and the Medic Team rushes to the rescue. 5.    Another person is identified by the drone and rescued by the Medic Team. 6.    The Rescue Team #1 founds a lightly injured female person and accompanies her to the first aid station.  7.    The Rescue Team #2 founds a lightly injured female person and accompanies her to the first aid station.  The exercise was organized and conducted by the Cyprus Civil Defence and data collection was performed by the  KIOS Research and Innovation Center of Excellence of the University of Cyprus. The dataset consists of .csv files, each containing a trace, that is, the locations of the mobile phones captured by the built-in GPS receiver of the phone approximately every one second. The mobile phones were held by first responders during their operation.

opencc-by-sa-4.0Sep 2021View details →

Drones' footage of a search-and-rescue exercise scenario

This dataset is collected during a search-and-rescue exercise scenario in the framework of the ARTION project. The operation took place on the 11th of April 2021 in an abandoned village (Vretsia) in Paphos district, in Cyprus. The exercise scenario was the following: After a tornado, seven campers who were in the village at the time of the tornado are reported as missing. Some of them are injured. The operations included: establishment and operation of an emergency operation center, first aid station, and drone operation center. For the search-and-rescue operations two rescue teams, a first responder with a rescue dog and a drone were deployed. <ol> <li>The rescue dog detects a person. A lightly injured woman is searched and found. The medic team rushes to help and finally accompanies the person to the operation center/first aid station.</li> <li>A victim is identified by the drone and rescued by the Medic Team.</li> <li>The Rescue Team #1 founds an unconscious male and the Medic Team rushes to the rescue.</li> <li>The Rescue Team #2 founds an injured female person and the Medic Team rushes to the rescue.</li> <li>Another person is identified by the drone and rescued by the Medic Team.</li> <li>The Rescue Team #1 founds a lightly injured female person and accompanies her to the first aid station.</li> <li>The Rescue Team #2 founds a lightly injured female person and accompanies her to the first aid station.</li> </ol> The exercise was organized and conducted by the Cyprus Civil Defence and data collection was performed by the KIOS Research and Innovation Center of Excellence of the University of Cyprus. The dataset consists of raw video files (.mp4) captured by drones.

opencc-by-4.0Aug 2024View details →

POD6, POD0, O3 concentrations, and Jarvis functions in order to assess the global flux-based ozone risk for wheat up to 2100 under different climate scenarios

Model output associated with the study “Global flux-based assessment reveals declining ozone risk for wheat in future climate change scenarios” (Guaita et al., 2025). The output is provided under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. Please cite both this repository and the associated paper when referencing this output. Associated paper: <blockquote> Guaita, P., et al. (2025). Global flux-based assessment reveals declining ozone risk for wheat in future climate change scenarios. Global Change Biology (Under review). <a href="https://doi.org/10.xxxx/xxxxx" target="_new" rel="noopener">https://doi.org/10.xxxx/xxxxx</a> </blockquote> Model documentation: <blockquote> Guaita, P. R., Marzuoli, R., & Gerosa, G. (2023). A regional scale flux-based O₃ risk assessment for winter wheat in northern Italy, and effects of different spatio-temporal resolutions. Environmental Pollution, 333, 121860. <a href="https://doi.org/10.1016/j.envpol.2023.121860" target="_new" rel="noopener">https://doi.org/10.1016/j.envpol.2023.121860</a> </blockquote> Model code: See the GitHub repository <a href="https://github.com/prguaita/O3-Deposition-model-for-wheat">O3-Deposition-model-for-wheat</a> (© 2025 Guaita & Gerosa. All rights reserved). ⚠️ Warning: Do not cite the preprint <a href="https://egusphere.copernicus.org/preprints/2024/egusphere-2024-2573/?utm_source=chatgpt.com" target="_new" rel="noopener">https://egusphere.copernicus.org/preprints/2024/egusphere-2024-2573/</a> — this version is deprecated.

opencc-by-4.0Jun 2022View details →

GGG Macroeconomic Results for the NGFS Scenarios

G-Cubed Modelling Results of NGFS Climate Scenarios

opencc-by-4.0Nov 2022View details →

GGG Comparison Results for the NGFS Scenarios

G-Cubed Modelling Results of NGFS Climate Scenarios

opencc-by-4.0Nov 2022View details →

GGG Sectoral Results for the NGFS Scenarios

G-Cubed Sectoral Results of NGFS Climate Scenarios

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Potential distribution prediction of Amaranthus palmeri S. Watson in China under current and future climate scenarios

The vicious invasive alien plant <a name="_Hlk99445053"></a>Amaranthus palmeri poses a serious threat to ecological security and food security due to its strong adaptability, competitiveness, and herbicide resistance. Predicting its potential habitats under current and future climate change is critical for monitoring and early warning. In this study, we used two sets of climate data, namely, WorldClim1.4 and RCPs (the historical climate data of WorldClim version 1.4 and future climate data of RCPs), WorldClim2.1 and SSPs (the historical climate data of WorldClim version 2.1 and future climate data of SSPs), to analyze the dominant environmental variables affecting the habitat suitability and predict the potential distribution of A. palmeri to climate change in China based on the MaxEnt model. The results show that (i) Temperature has a greater impact on the distribution of A. palmeri. The relative contributions of temperature-related variables count to 70 % or more, and the annual mean temperature (bio1) reached more than 40 %. (ii) At present, the potentially suitable area is widely distributed in the central-east and parts of southwest China, and the high suitable area is focused on the North China Plain. The potential suitable area predicted by WorldClim1.4 and WorldClim2.1 both accounts for about 31% of China's total land area. (iii) Future climate change will expand the suitable habitats to high latitudes and altitudes. The overall suitable area maximum increased to 44.93% under SSPs and 38.91% under RCPs. We conclude that climate change would increase the risk of A. palmeri expanding to high latitudes and altitudes, the results have practical implications for the effective long-term management in response to the global warming of A. palmeri.

opencc-zeroNov 2022View details →

Dataset for Nigeria cement sector emissions scenarios in Yetano Roche (2022)

Dataset and tool for "Built for net-zero: analysis of long-term greenhouse gas (GHG) emission pathways for the Nigerian cement sector", Journal of Cleaner Production (2022)

SSP structural change scenarios

Scenario data presented in Leimbach et al.'s (2022) paper: "Structural change scenarios within the SSP framework".

Pearl River Delta FVCOM model mangrove forests scenarios

Model data presented in: De Dominicis, M., Wolf, J., van Hespen, R., Zheng, P., Hu. Z. "Mangrove forests can be an effective coastal defence in the Pearl River Delta, China", Communications Earth & Environment  (2023). To explore the effects of vegetation on storm surge dynamics and currents, we used a Finite Volume Community Ocean Model implementation for the South China Sea and the Pearl River Delta and simulated Typhoon Hato (2017) one of the strongest typhoons to affect the coastal areas of the Pearl River Delta in recent decades. We numerically modelled the protection capability of the mangrove wetlands in Shenzhen Bay and in the upper estuary river branches close to Guangzhou to determine their ability to mitigate coastal flooding. Additionally, we analyzed how the effectiveness of mangroves changes under different sea level rise scenarios.  The dataset consists of water elevation and horizontal currents for 40 model experiments (see Table 1 in De Dominicis et al, 2023).

opencc-by-4.0Apr 2023View details →

Comparison of Knowledge Graph Representations for Consumer Scenarios - Datasets

These are the datasets used for the evaluations carried out in the submission "Comparison of Knowledge Graph Representations for Consumer Scenarios" to ISWC 2023

Dataset: Palladio Context-based Scenario Analysis

The dataset for our Palladio context-based scenario analysis. Please read the contained README.md for more information.

FIGURE 10 in Revising the taxonomy of Darevskia valentini (Boettger, 1892) and Darevskia rudis (Bedriaga, 1886) (Squamata, Lacertidae): a Morpho-Phylogenetic integrated study in a complex Anatolian scenario

FIGURE 10. Parsimony networks corresponding to Cyt-b (A) and MC1R (B) represent reconstruction of the studied group. Numbers within parentheses represent a mutational step, black circles missing haplotypes, and colored circles haplotypes. The circle area is proportional to the number of individuals. The new nomenclature proposed in the text is used.

FIGURE 9 in Revising the taxonomy of Darevskia valentini (Boettger, 1892) and Darevskia rudis (Bedriaga, 1886) (Squamata, Lacertidae): a Morpho-Phylogenetic integrated study in a complex Anatolian scenario

FIGURE 9. Maximum Likelihood (ML) tree (left) and collapsed one for the same tree (right) are given. Numbers on branches indicate the bootstrap and posterior probability (pp) values (ML/BI). Each species delimitation result is shown, and a vertical bar represents each cluster obtained from the analysis. Red circles indicate the internal nodes of each OTUs. The new nomenclature proposed in the text is used.

FIGURE 4 in Revising the taxonomy of Darevskia valentini (Boettger, 1892) and Darevskia rudis (Bedriaga, 1886) (Squamata, Lacertidae): a Morpho-Phylogenetic integrated study in a complex Anatolian scenario

FIGURE 4. UPGMA tree derived from the matrix of distances (Table 1) among MALE samples, showing three great groups: a basal one, well different, with D. bithynica (inc. ssp. tristis), and two more closer groups that include the former rudis and valentini-complexes. See the text for an explanation of the results. The tree, derived from the calculation of ultrametric distances calculated in UPGMA, reflects very well the relationships in respect to the original distanced matrix (see Table 1). Its Cophenetic Correlation Index, r = 0.95, shows that the obtained dendrogram has a very good fit (r> 0.9; Rohlf 2000).

FIGURE 1 in Revising the taxonomy of Darevskia valentini (Boettger, 1892) and Darevskia rudis (Bedriaga, 1886) (Squamata, Lacertidae): a Morpho-Phylogenetic integrated study in a complex Anatolian scenario

FIGURE 1. Map showing both the localities of populations examined in morphology part and the possible distribution range for each taxa. Only the Turkish areas of the taxa are depicted. Numbers refer to population codes (Map ID) given in Appendix 1. Colors are lineage-specific which were identified in phylo-trees (see Figure 9).

FIGURE 3 in Revising the taxonomy of Darevskia valentini (Boettger, 1892) and Darevskia rudis (Bedriaga, 1886) (Squamata, Lacertidae): a Morpho-Phylogenetic integrated study in a complex Anatolian scenario

FIGURE 3. The three-dimensional representation of MALE centroids (bidimensional of samples and centroids in Fig 2) shows the MST (Minimum Spanning Tree) superimposed on the three-dimensional representation of the position of the centroids. The three axes together explain 89.1 % of all the variability. This MST can be considered equivalent to an unrooted NJ and connects each centroid with its closest relative. See text for explanation.

FIGURE 6 in Revising the taxonomy of Darevskia valentini (Boettger, 1892) and Darevskia rudis (Bedriaga, 1886) (Squamata, Lacertidae): a Morpho-Phylogenetic integrated study in a complex Anatolian scenario

FIGURE 6. The three-dimensional representation of FEMALE centroids (bidimensional of samples and centroids in Fig 5) shows the MST (Minimum Spanning Tree) superimposed on the three-dimensional representation of the position of the centroids. The three axes together explain 88.4 % of all the variability. This MST can be considered equivalent to an unrooted NJ and connects each centroid with its closest relative. See text for explanation.

FIGURE 8. A in Revising the taxonomy of Darevskia valentini (Boettger, 1892) and Darevskia rudis (Bedriaga, 1886) (Squamata, Lacertidae): a Morpho-Phylogenetic integrated study in a complex Anatolian scenario

FIGURE 8. A graphic display of the degree (number) of significant differences (p <0.01) among the different OTUs (MALES and FEMALES together). As can be seen, the overall representation is similar to the "old" (only morphological) taxonomy. See text for details.