cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23741526.v1
title: The climbing flora of New Caledonia: a comprehensive checklist

description: New Caledonia, an archipelago located in the southwest Pacific Ocean, hosts a rich and highly original vascular flora, distributed within a remarkable mosaic of habitats. Despite intensive research on the flora, the diversity and ecology of the climbing flora within the archipelago remain virtually unknown. More globally, while most liana studies have been carried out in continental forests, data from island ecosystems remain scarce. This study aims to document the taxonomic diversity, and to analyze the ecology and functional traits of angiosperms climbers in New Caledonia. Using herbarium data, exhaustive bibliographic review and field studies, we provide a checklist of 274 autochthonous climbing taxa, distributed in 45 families. The majority of climbing plant species in New Caledonia are woody, herbaceous vine being infrequent. Climbing plants account for ~ 8% of the native flora (angiosperms), a rather small contribution compared with continental tropical floras. There is, however, a great heterogeneity in the distribution of climbing plants within the different vegetation, as they represent up to 19% of species in the sclerophyll forests, and only ~ 8 and 6.5% in respectively shrublands (maquis) and rain forests, which are the most original ecosystems in New Caledonia. The endemicity is relatively low (64%) compared to the global flora (75% of endemism). Three endemic genera are exclusively climbers (<i>Artia</i>, <i>Balgoya</i> and <i>Clematepistephium</i>). The diversity of climbing plants is concentrated within few families: ~29% belonging to Apocynaceae and more than half of the species are included in just four families.
DOI: 10.6084/m9.figshare.20134168.v1
title: Phylogenetic study of the New Caledonian endemic genus <i>Adenodaphne</i> (Lauraceae) confirms its synonymy with <i>Litsea</i>

description: The genus <i>Adenodaphne</i> is currently considered endemic to New Caledonia, but its distinction from <i>Litsea</i> is questionable based on morphological similarity. An earlier phylogenetic analysis (ITS) including one species of <i>Adenodaphne</i> and two Asian species of <i>Litsea</i> did support their close relationship but did not permit resolution of their generic boundary. We sampled the four species of <i>Adenodaphne</i> currently recognized (11 accessions) and 11 of the 13 endemic species of <i>Litsea</i> currently recognized, plus one undescribed species (24 accessions in total). Based on our extensive herbarium studies, fieldwork, and especially our molecular phylogenetic analyses (ITS), we conclude that <i>Adenodaphne</i> is not distinct from <i>Litsea</i> and that all species of <i>Adenodaphne</i> should be recognized within <i>Litsea</i>, thereby necessitating the creation of two new species synonymies and one nomen novum. In addition, <i>Litsea paoueensis</i> is here synonymized with <i>L. deplanchei</i>. Finally, our phylogenetic analysis suggests that the sole species of <i>Litsea</i> from New Zealand, which is endemic, results from a rarely documented long-distance dispersal event from New Caledonia.
DOI: 10.6084/m9.figshare.20239055
title: Plant mineral nutrition on ultramafic rocks of New Caledonia

description: In New Caledonia, the environmental heterogeneity on ultramafic rocks is a major driver of plant diversity. Here, the foliar mineral composition of numerous species was analysed to (1) explore plant mineral nutrition in different environments on ultramafic rocks, and (2) characterise the nutritional behaviour of species strictly growing on these rocks. A total of 4,600 samples were analysed, corresponding to more than 500 species, including 350 from maquis, i.e. about a third of the species inventoried on ultramafic rocks. Samples were collected mainly from the Boulinda Massif and the Grand Massif du Sud, where almost all the maquis species were analysed, and from the Koniambo and Tiebaghi massifs. The results confirm the very low P and low N, K and Ca availability for plants in all ultramafic environments. The low stocks in major elements, except for Mg, are undoubtedly one of the main causes, or at least the most constant cause, of the general poor fertility of soils on ultramafic rocks in New Caledonia. The mineral composition of the leaf tissue of species growing on ultramafic rocks reflects, to some extent, the mineral imbalance of the soils. It is particularly marked by abnormal high foliar concentration in trace elements (Ni, Mn, Cr, Co). Ni and Mn accumulator species are recorded in many families. The mineral element concentrations are significantly different from one species to another and reflect the high specificity of mineral nutrition, and the adaptation to specific mineral conditions in different types of environments on ultramafic rocks.
DOI: 10.6084/m9.figshare.22689709
title: Plant–pollinator interactions in ultramafic and non-ultramafic environments in New Caledonia

description: Edaphic conditions operate major environmental filtering on plant assemblages and their community structure. Soils derived from ultramafic outcrops (i.e. ultramafic substrates) are characterized by high concentrations of metal and metalloid and nutrient deficiencies constraining plant growth. Due to the coupled effects of edaphic conditions and climate, tropical ultramafic substrates harbour a very particular flora. New Caledonia, one of the main plant biodiversity hotspots worldwide, owes much of its exceptional biodiversity to ultramafic substrates. While the flora of the New Caledonian ultramafic substrates is well known, its pollinating fauna remains to be described. Here, we describe plant–pollinator interactions in some ultramafic and non-ultramafic environments in New Caledonia, with a particular focus on wild alien, native and domestic bees. Wild alien bees were less diverse and less present in ultramafic environments than in non-ultramafic ones; we only recorded six interactions realised by wild alien bee species in ultramafic environments. <i>Apis mellifera</i> was also less present in ultramafic environments. Regarding native bees, they were equally present in both environments but less diverse in non-ultramafic environments. Our results suggest that ultramafic environments may filter alien pollinators. Due to beekeeping, <i>Apis mellifera</i> thrived and was the most active species in both environments. Further studies are needed to explore the diversity of interactions in ultramafic environments and to test whether metal and metalloid found in ultramafic substrates such as nickel may transfer to pollinators through plant rewards.
DOI: 10.6084/m9.figshare.22341036.v1
title: Forest and tree species distribution on the ultramafic substrates of New Caledonia

description: About a third of New Caledonia is covered with ultramafic soils (UM) which hosts a rich flora (endemism &gt; 85%) threatened by mining activities. This combination makes the ultramafic vegetation a floristic hotspot within a biodiversity hotspot. UM soils are distributed from sea level to 1618 m elevation with about two-thirds forming a large continuous unit while the remaining forms numerous relatively small isolated units. Here, we provide a synthesis of the distribution of forest and tree species across 22 UM units. We compiled an extensive tree occurrence dataset (109,896 occurrences and 1,065 species) and a new expert-based forest map at a 1:3000 spatial resolution. Only 10% of these species represented more than 50% of the occurrences, while 10% of the species had only one or two occurrences. A quarter of the UM area did not contain any occurrences, and we estimated that on average a quarter of the species remained to be inventoried in the 22 units. Forest covers about one-third of the UM areas with forest coverage ranging from 1.7% to 72.3% in the different UM units. Forest coverage increased from 14.6% on sea level to 93.3% at 1,200 m of elevation. About 30% of the forest and 90% of the species were located within mining concessions, while 14.5% and 73%, respectively, were located within protected areas. We recommend setting up new protected areas on ultramafic substrate, specially in the Northern province, to protect more forest and the diversity it harbours.
DOI: 10.6084/m9.figshare.20239055.v1
title: Plant mineral nutrition on ultramafic rocks of New Caledonia

description: In New Caledonia, the environmental heterogeneity on ultramafic rocks is a major driver of plant diversity. Here, the foliar mineral composition of numerous species was analysed to (1) explore plant mineral nutrition in different environments on ultramafic rocks, and (2) characterise the nutritional behaviour of species strictly growing on these rocks. A total of 4,600 samples were analysed, corresponding to more than 500 species, including 350 from maquis, i.e. about a third of the species inventoried on ultramafic rocks. Samples were collected mainly from the Boulinda Massif and the Grand Massif du Sud, where almost all the maquis species were analysed, and from the Koniambo and Tiebaghi massifs. The results confirm the very low P and low N, K and Ca availability for plants in all ultramafic environments. The low stocks in major elements, except for Mg, are undoubtedly one of the main causes, or at least the most constant cause, of the general poor fertility of soils on ultramafic rocks in New Caledonia. The mineral composition of the leaf tissue of species growing on ultramafic rocks reflects, to some extent, the mineral imbalance of the soils. It is particularly marked by abnormal high foliar concentration in trace elements (Ni, Mn, Cr, Co). Ni and Mn accumulator species are recorded in many families. The mineral element concentrations are significantly different from one species to another and reflect the high specificity of mineral nutrition, and the adaptation to specific mineral conditions in different types of environments on ultramafic rocks.
DOI: 10.6084/m9.figshare.22689709.v1
title: Plant–pollinator interactions in ultramafic and non-ultramafic environments in New Caledonia

description: Edaphic conditions operate major environmental filtering on plant assemblages and their community structure. Soils derived from ultramafic outcrops (i.e. ultramafic substrates) are characterized by high concentrations of metal and metalloid and nutrient deficiencies constraining plant growth. Due to the coupled effects of edaphic conditions and climate, tropical ultramafic substrates harbour a very particular flora. New Caledonia, one of the main plant biodiversity hotspots worldwide, owes much of its exceptional biodiversity to ultramafic substrates. While the flora of the New Caledonian ultramafic substrates is well known, its pollinating fauna remains to be described. Here, we describe plant–pollinator interactions in some ultramafic and non-ultramafic environments in New Caledonia, with a particular focus on wild alien, native and domestic bees. Wild alien bees were less diverse and less present in ultramafic environments than in non-ultramafic ones; we only recorded six interactions realised by wild alien bee species in ultramafic environments. <i>Apis mellifera</i> was also less present in ultramafic environments. Regarding native bees, they were equally present in both environments but less diverse in non-ultramafic environments. Our results suggest that ultramafic environments may filter alien pollinators. Due to beekeeping, <i>Apis mellifera</i> thrived and was the most active species in both environments. Further studies are needed to explore the diversity of interactions in ultramafic environments and to test whether metal and metalloid found in ultramafic substrates such as nickel may transfer to pollinators through plant rewards.
DOI: 10.17632/82p2hk34t4.1
title: Motor Accident

description: The data set is made of 1000 claim data points recorded by a motor insurance department in Ghana between 2012 and 2014. We used inflation adjusted figures that  reflect 2021 consumer prices to account for the change in monetary value.
The claim amounts span from GHS 238.258  to GHS 5,782.554.
DOI: 10.17632/x4tmxssvj3.4
title: The Experimental Data Sets and Appendix of the paper “Communication Topology Optimization for a Three-dimensional Persistent Formation with Fault Constraints”

description: According to the different proportion of agent loss and link loss in faults, five experimental data sets are designed. Among them, the fault type corresponding to data set A is agent loss where the proportion of link loss in faults is 0%, the fault type of data set B, C and D is agent & link loss where the proportion of link loss in faults is 25%, 50% and 75% respectively, and the fault type of data set E is link loss where the proportion of link loss in faults is 100%.
In each experimental data set, experimental instances are generated under different number of agents, formation shape, and fault ratio. Specifically, the number of agents is 20, 30, 40, and 50 respectively, 5 different formation shapes are randomly generated in the area of 5000×5000×5000 under the same number of agents, and the fault ratio is 0.05, 0.10, 0.15, 0.20, 0.25, 0.30, 0.35, 0.40, 0.45, and 0.50 respectively. Therefore, the total number of experimental instances is 5×4×5×10 = 1000. Specifically, the fault ratio under agent loss is the ratio of the number of agents suffering agent loss to the number of all agents in the initial optimal communication topology, the fault ratio under link loss is the ratio of the number of communication links suffering link loss to the number of all communication links in the initial optimal communication topology, and the fault ratio under agent & link loss is the sum of fault ratio under agent loss and fault ratio under link loss, where the fault ratio under agent loss is equal to the fault ratio under link loss.
Each experimental instance has an identifier that includes the corresponding data set, the number of agents and the formation shape. For example, A-20-1 indicates that this experimental instance belongs to data set A, its number of agents is 20, and its formation shape is the first one. For each experimental instance, the corresponding formation communication cost of the solution obtained by each algorithm and its calculation time are listed in the Appendix.
DOI: 10.17632/x4tmxssvj3.5
title: The Experimental Data Sets and Appendix of the paper “Communication Topology Optimization for a Three-dimensional Persistent Formation with Fault Constraints”

description: According to the different proportion of agent loss and link loss in faults, five experimental data sets are designed. Among them, the fault type corresponding to data set A is agent loss where the proportion of link loss in faults is 0%, the fault type of data set B, C and D is agent & link loss where the proportion of link loss in faults is 25%, 50% and 75% respectively, and the fault type of data set E is link loss where the proportion of link loss in faults is 100%.
In each experimental data set, experimental instances are generated under different number of agents, formation shape, and fault ratio. Specifically, the number of agents is 20, 30, 40, and 50 respectively, 5 different formation shapes are randomly generated in the area of 5000×5000×5000 under the same number of agents, and the fault ratio is 0.05, 0.10, 0.15, 0.20, 0.25, 0.30, 0.35, 0.40, 0.45, and 0.50 respectively. Therefore, the total number of experimental instances is 5×4×5×10 = 1000. Specifically, the fault ratio under agent loss is the ratio of the number of agents suffering agent loss to the number of all agents in the initial optimal communication topology, the fault ratio under link loss is the ratio of the number of communication links suffering link loss to the number of all communication links in the initial optimal communication topology, and the fault ratio under agent & link loss is the sum of fault ratio under agent loss and fault ratio under link loss, where the fault ratio under agent loss is equal to the fault ratio under link loss.
Each experimental instance has an identifier that includes the corresponding data set, the number of agents and the formation shape. For example, A-20-1 indicates that this experimental instance belongs to data set A, its number of agents is 20, and its formation shape is the first one. For each experimental instance, the corresponding formation communication cost of the solution obtained by each algorithm and its calculation time are listed in the Appendix.
DOI: 10.17632/x4tmxssvj3.1
title: Random Experiment Data of Communication Topology Optimization for Three-dimensional Persistent Formation with Failure Constraint

description: In the random experiment, experimental instances are generated under different number of agents, formation shapes, failure types, and failure ratios. Specifically, the number of agents is 20, 30, 40, and 50 respectively, 5 different formation shapes are randomly generated in the area of 5000 * 5000 * 5000 under the same number of agents, the failure type is link loss, agent loss, and link & agent loss respectively, and the failure ratio explained is 0.05, 0.10, 0.15, 0.20, 0.25, 0.30, 0.35, 0.40, 0.45, and 0.50 respectively. Therefore, the total number of experimental instances is 4×5×3×10 = 600.
Specifically in each experimental instance, the initial optimal communication topology without failure is obtained by CTOA-3DPF-LC, both the communication links suffering link loss and the agents suffering agent loss are randomly generated in the initial optimal communication topology, and the new communication topology under failure is obtained by the existing algorithms and ECTOA-3DPF-FC respectively. Under the same failure type, number of agents, and formation shape, the set of failure in experimental instance with higher failure ratio include that with lower failure ratio.
DOI: 10.17632/x4tmxssvj3.2
title: Experimental Data Sets of Communication Topology Optimization for Three-dimensional Persistent Formation with Fault Constraint

description: According to the different proportion of agent loss and link loss in faults, five experimental data sets are designed. Among them, the fault type corresponding to data set A is agent loss where the proportion of link loss in faults is 0%, the fault type of data set B, C and D is agent & link loss where the proportion of link loss in faults is 25%, 50% and 75% respectively, and the fault type of data set E is link loss where the proportion of link loss in faults is 100%.
In each experimental data set, experimental instances are generated under different number of agents, formation shape, and fault ratio. Specifically, the number of agents is 20, 30, 40, and 50 respectively, 5 different formation shapes are randomly generated in the area of 5000×5000×5000 under the same number of agents, and the fault ratio is 0.05, 0.10, 0.15, 0.20, 0.25, 0.30, 0.35, 0.40, 0.45, and 0.50 respectively. Therefore, the total number of experimental instances is 5×4×5×10 = 1000. Among them, the fault ratio under agent loss is the ratio of the number of agents suffering agent loss to the number of all agents in the initial optimal communication topology, the fault ratio under link loss is the ratio of the number of communication links suffering link loss to the number of all communication links in the initial optimal communication topology, and the fault ratio under agent & link loss is the sum of fault ratio under agent loss and fault ratio under link loss, where the fault ratio under agent loss is equal to the fault ratio under link loss.
DOI: 10.17632/x4tmxssvj3.3
title: The Experimental Data Sets and Appendix of the paper “Communication Topology Optimization for a Three-dimensional Persistent Formation with Fault Constraints”

description: According to the different proportion of agent loss and link loss in faults, five experimental data sets are designed. Among them, the fault type corresponding to data set A is agent loss where the proportion of link loss in faults is 0%, the fault type of data set B, C and D is agent & link loss where the proportion of link loss in faults is 25%, 50% and 75% respectively, and the fault type of data set E is link loss where the proportion of link loss in faults is 100%.
In each experimental data set, experimental instances are generated under different number of agents, formation shape, and fault ratio. Specifically, the number of agents is 20, 30, 40, and 50 respectively, 5 different formation shapes are randomly generated in the area of 5000×5000×5000 under the same number of agents, and the fault ratio is 0.05, 0.10, 0.15, 0.20, 0.25, 0.30, 0.35, 0.40, 0.45, and 0.50 respectively. Therefore, the total number of experimental instances is 5×4×5×10 = 1000. Specifically, the fault ratio under agent loss is the ratio of the number of agents suffering agent loss to the number of all agents in the initial optimal communication topology, the fault ratio under link loss is the ratio of the number of communication links suffering link loss to the number of all communication links in the initial optimal communication topology, and the fault ratio under agent & link loss is the sum of fault ratio under agent loss and fault ratio under link loss, where the fault ratio under agent loss is equal to the fault ratio under link loss.
Each experimental instance has an identifier that includes the corresponding data set, the number of agents and the formation shape. For example, A-20-1 indicates that this experimental instance belongs to data set A, its number of agents is 20, and its formation shape is the first one. For each experimental instance, the corresponding formation communication cost of the solution obtained by each algorithm and its calculation time are listed in the Appendix.
DOI: 10.17632/x4tmxssvj3.6
title: The Experimental Data Sets and Appendix of the paper “Communication Topology Reconstruction for a Three-Dimensional Persistent Formation with Fault Constraints”

description: According to the different proportion of agent loss and link loss in faults, five experimental data sets are designed. Among them, the fault type corresponding to data set A is agent loss where the proportion of link loss in faults is 0%, the fault type of data set B, C and D is agent & link loss where the proportion of link loss in faults is 25%, 50% and 75% respectively, and the fault type of data set E is link loss where the proportion of link loss in faults is 100%.
In each experimental data set, experimental instances are generated under different number of agents, formation shape, and fault ratio. Specifically, the number of agents is 20, 30, 40, and 50 respectively, 5 different formation shapes are randomly generated in the area of 5000×5000×5000 under the same number of agents, and the fault ratio is 0.05, 0.10, 0.15, 0.20, 0.25, 0.30, 0.35, 0.40, 0.45, and 0.50 respectively. Therefore, the total number of experimental instances is 5×4×5×10 = 1000. Specifically, the fault ratio under agent loss is the ratio of the number of agents suffering agent loss to the number of all agents in the initial optimal communication topology, the fault ratio under link loss is the ratio of the number of communication links suffering link loss to the number of all communication links in the initial optimal communication topology, and the fault ratio under agent & link loss is the sum of fault ratio under agent loss and fault ratio under link loss, where the fault ratio under agent loss is equal to the fault ratio under link loss.
Each experimental instance has an identifier that includes the corresponding data set, the number of agents and the formation shape. For example, A-20-1 indicates that this experimental instance belongs to data set A, its number of agents is 20, and its formation shape is the first one. For each experimental instance, the corresponding formation communication cost of the solution obtained by each algorithm and its calculation time are listed in the Appendix.