cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.758d0
title: Data from: No clear effect of admixture between two European invading outbreaks of Diabrotica virgifera virgifera in natura

description: In this study, we challenged the hypothesis that admixture may have had a
 positive impact in the context of the European invasion of the western
 corn rootworm (WCR), Diabrotica virgifera virgifera, LeConte. This beetle
 was introduced in Europe from the USA several times since the 1980’s. The
 multiple introductions of this major pest of cultivated corn led to the
 formation of two major outbreaks in North Western (NW) Italy and in
 Central and South Eastern (CSE) Europe that eventually merged into a
 secondary contact zone where insects from both outbreaks interbreed. We
 collected about 600 insects from this contact zone and genotyped them
 using 13 microsatellite markers. Three types of information were obtained
 from the collected individuals: (i) their survival under starvation; (ii)
 their admixed status, determined through a Bayesian method of genetic
 clustering and (iii) their mating probability, studied via the detection,
 isolation and genotyping of sperm in female spermathecae. Twenty six % and
 12% of the individuals were assigned to the NW Italy or the CSE Europe
 parental types, respectively, and 23% and 39% to the F1 and backcross
 hybrid types, respectively. Globally, our results do not reveal any
 significant impact of the admixed status on the mating probability and on
 the choice of mating partners. However the admixed status had a sex- and
 sampling site-dependent effect on survival in adults under starvation. In
 addition sex had an effect on survival, with mortality hazard about 3
 times larger in males than in females. The consequences of these findings
 for the evolution of the admixture zone of northern Italy are discussed.
description: Genotypes_DryadPhenotypic_data_Dryad
DOI: 10.5061/dryad.sc6bb
title: Data from: Landscape features impact connectivity between soil populations: a comparative study of gene flow in earthworms

description: Landscape features are known to alter the spatial genetic variation of
 aboveground organisms. Here, we tested the hypothesis that the genetic
 structure of belowground organisms also responds to landscape structure.
 Microsatellite markers were used to carry out a landscape genetic study of
 two endogeic earthworm species, Allolobophora chlorotica (N = 440, eight
 microsatellites) and Aporrectodea icterica (N = 519, seven
 microsatellites), in an agricultural landscape in the North of France,
 where landscape features were characterized with high accuracy. We found
 that habitat fragmentation impacted genetic variation of earthworm
 populations at the local scale. A significant relationship was observed
 between genetic diversity (He, Ar) and several landscape features in A.
 icterica populations and A. chlorotica. Moreover, a strong genetic
 differentiation between sites was observed in both species, with a low
 degree of genetic admixture and high Fst values. The landscape
 connectivity analysis at the regional scale, including isolation by
 distance, least-cost path and cost-weighted distance approaches, showed
 that genetic distances were linked to landscape connectivity in A.
 chlorotica. This indicates that the fragmentation of natural habitats has
 shaped their dispersal patterns and local effective population sizes.
 Landscape connectivity analysis confirmed that a priori favourable
 habitats such as grasslands may constitute dispersal corridors for these
 species.
description: Individual genotypes of
 earthworms from Normandy (France)The individual genotypes
 of 440 Allolobophora chlorotica specimens obtained using 8 microsatellite
 markers in 14 populations and the individual genotypes of 519 Aporrectodea
 icterica specimens obtained using 7 microsatellite markers in 19
 populations are given.Earthworms_Normandy_genotypes.xls
DOI: 10.5061/dryad.5j54t
title: Data from: Breaking the cipher: ant eavesdropping on the variational trail pheromone of its termite prey

description: Predators may eavesdrop on their prey using innate signals of varying
 nature. In regards to social prey, most of the prey signals are derived
 from social communication and may therefore be highly complex. The most
 efficient predators select signals that provide the highest benefits.
 Here, we showed the use of eusocial prey signals by the termite-raiding
 ant Odontoponera transversa. O. transversa selected the trail pheromone of
 termites as kairomone in several species of fungus-growing termites
 (Termitidae: Macrotermitinae: Odontotermes yunnanensis, Macrotermes
 yunnanensis, Ancistrotermes dimorphus). The most commonly predated
 termite, O. yunnanensis, was able to regulate the trail pheromone
 component ratios during its foraging activity. The ratio of the two trail
 pheromone compounds was correlated with the number of termites in the
 foraging party. (3Z)-Dodec-3-en-1-ol (DOE) was the dominant trail
 pheromone component in the initial foraging stages when fewer termites
 were present. Once a trail was established, (3Z,6Z)-dodeca-3,6-dien-1-ol
 (DDE) became the major recruitment component in the trail pheromone and
 enabled mass recruitment of nest-mates to the food source. Although the
 ants could perceive both components, they revealed stronger behavioural
 responses to the recruitment component, DDE, than to the common major
 component, DOE. In other words, the ants use the trail pheromone
 information as an indication of suitable prey abundance, and regulate
 their behavioural responses based on the changing trail pheromone
 component. The eavesdropping behaviour in ants therefore leads to an arms
 race between predator and prey where the species specific production of
 trail pheromones in termites is targeted by predatory ant species.
description: Crude Data for
 statistical figuresCrude Data
 ver1.xls
DOI: 10.5061/dryad.2t604
title: Data from: Human-induced marine ecological degradation: micropaleontological perspectives

description: We analyzed published downcore microfossil records from 150 studies and
 reinterpreted them from an ecological degradation perspective to address
 the following, critical but still imperfectly answered questions: (1) How
 is the timing of human-induced degradation of marine ecosystems different
 among regions? (2) What are the dominant causes of human-induced marine
 ecological degradation? (3) How can we better document natural variability
 and thereby avoid the problem of shifting baselines of comparison as
 degradation progresses over time? The results indicated that: (1)
 ecological degradation in marine systems began significantly earlier in
 Europe and North America (~1800s) compared to Asia (post-1900) due to
 earlier industrialization in European and North American countries, (2)
 ecological degradation accelerated globally in the late 20th century due
 to post-World War II economic growth, (3) recovery from the degraded state
 in late 20th century following various restoration efforts and
 environmental regulations occurred only in limited localities. Though
 complex in detail, typical signs of ecological degradation were diversity
 decline, dramatic changes in total abundance, decrease of benthic and/or
 sensitive species, and increase of planktic, resistant, toxic, and/or
 introduced species. The predominant cause of degradation detected in these
 microfossil records was nutrient enrichment and the resulting symptoms of
 eutrophication, including hypoxia. Other causes also played considerable
 roles in some areas, including severe metal pollution around mining sites,
 water acidification by acidic wastewater, and salinity changes from
 construction of causeways, dikes, and channels, deforestation and land
 clearance. Microfossils enable reconstruction of the ecological history of
 the past 102–103 years or even more, and, in conjunction with statistical
 modeling approaches using independent proxy records of climate and
 human-induced environmental changes, future research will enable workers
 to better address Shifting Baseline Syndrome and separate anthropogenic
 impacts from background natural variability.
description: Table
 S1Table S1. Dtataset used
 for the present paper (see Text S1 for references). Ostracod: benthic
 ostracod; Foram: benthic foraminifera. Planktic foram: planktic
 foraminifera. Dino: dinoflagellate. ND: not detectable.Yasuharaetal_TableS1.xlsText S1Text S1. References Cited in Table S1.Yasuhara_S_Text_S1.docData tableData table for the global analyses of microfossil data in the present study. AN: Australia and New Zealand. SA: South America. AF: Africa. ASIA: Asia. NAMER: North America. EU: Europe. O: Other.Yasuharaetal_data.xls
DOI: 10.5061/dryad.db2gd
title: Data from: Multi-parametric study of behavioural modulation in demersal decapods at the VENUS cabled observatory in Saanich Inlet, British Columbia, Canada

description: Understanding biological rhythms in benthic ecosystems and their
 modulation by habitat cycles has important implications for resource and
 ecosystem management. The recent development of permanent, multi-sensor
 seafloor observatories in deep-water environments provides opportunities
 for the in situ investigation of the behaviour of benthic organisms in
 relation to habitat variability. This paper describes a multi-disciplinary
 investigation at the VENUS observatory platform in Saanich Inlet, an
 intermittently anoxic fjord (Vancouver Island, Canada). A remotely
 operated digital camera (103 m depth) was used to document changes in the
 abundance of shrimp (Spirontocaris spp.) and the squat lobster (Munida
 quadrispina), as well as bacterial mat coverage (Beggiatoa spp.). These
 data were used as proxies of diel rhythms related to day–night and
 internal tidal cycles. Seafloor photos were acquired hourly during
 consecutive days, before, during and after oxygen intrusion events in the
 fall of 2009. In order to relate biological fluctuations to habitat
 cycles, bottom water pressure, temperature, dissolved oxygen, and nitrate
 data were also acquired from the observatory database. Periodogram
 analysis showed a weak internal-tide-associated rhythmicity for
 Spirontocaris spp. that was absent in M. quadrispina and in bacterial mat
 coverage. Waveform analysis confirmed the absence of any day–night
 fluctuation in all tested species. However, a rapid intrusion of
 oxygenated water at the study site influenced visual counts of species,
 possibly blurring detectable activity rhythms. Temperature and nitrate
 fluctuations were more accentuated during spring tides but
 cross-correlation analysis indicated an absence of species responses to
 these habitat variables. Results are discussed within the context of the
 complex oceanographic dynamics of Saanich Inlet and with respect to
 understanding the ecological consequences of expanding hypoxia in the
 global ocean.
description: CHONe_MB08_Matabos_data_rhythms_serie1CHONe_MB08_Matabos_data_rhythms_serie2CHONe_MB08_Matabos_data_rhythms_serie3CHONe_MB08_Matabos_data_rhythms_env_variables
DOI: 10.5061/dryad.8md28
title: Data from: Spatial variability in tree regeneration after wildfire delays and dampens future bark beetle outbreaks

description: Climate change is altering the frequency and severity of forest
 disturbances such as wildfires and bark beetle outbreaks, thereby
 increasing the potential for sequential disturbances to interact.
 Interactions can amplify or dampen disturbances, yet the direction and
 magnitude of future disturbance interactions are difficult to anticipate
 because underlying mechanisms remain poorly understood. We tested how
 variability in postfire forest development affects future susceptibility
 to bark beetle outbreaks, focusing on mountain pine beetle (Dendroctonus
 ponderosae) and Douglas-fir beetle (Dendroctonus pseudotsugae) in forests
 regenerating from the large high-severity fires that affected Yellowstone
 National Park in Wyoming in 1988. We combined extensive field data on
 postfire tree regeneration with a well-tested simulation model to assess
 susceptibility to bark beetle outbreaks over 130 y of stand development.
 Despite originating from the same fire event, among-stand variation in
 forest structure was very high and remained considerable for over a
 century. Thus, simulated emergence of stands susceptible to bark beetles
 was not temporally synchronized but was protracted by several decades,
 compared with stand development from spatially homogeneous regeneration.
 Furthermore, because of fire-mediated variability in forest structure, the
 habitat connectivity required to support broad-scale outbreaks and
 amplifying cross-scale feedbacks did not develop until well into the
 second century after the initial burn. We conclude that variability in
 tree regeneration after disturbance can dampen and delay future
 disturbance by breaking spatiotemporal synchrony on the landscape. This
 highlights the importance of fostering landscape variability in the
 context of ecosystem management given changing disturbance regimes.
description: Data for lodgepole pine
 forestsSimulation results and
 bark beetle susceptibility for lodgepole pine forestspico.csvData for Douglas-fir forestsSimulation results and bark beetle susceptibility for Douglas-fir forestspsme.csv
DOI: 10.5061/dryad.qj840
title: Data from: Impact of population expansion on genetic diversity and structure of river otters (Lontra canadensis) in central North America

description: Populations of North American river otters (Lontra canadensis) declined
 throughout large portions of the continent during the early 1900s due to
 habitat degradation and unregulated trapping. River otters had been
 extirpated in North Dakota (ND), but the Red River Valley has since been
 recolonized, with potential source populations including the neighboring
 states of Minnesota or South Dakota, or the Canadian province of Manitoba
 (MB). We genotyped 9 microsatellite loci in 121 samples to determine the
 source population of river otters in the Red River Valley of ND, as well
 as to assess population structure and diversity of river otters in central
 North America. Overall, genetic diversity was high, with an average
 observed heterozygosity of 0.58. Genetic differentiation was low (F ST
 &lt; 0.05) between river otters in ND and those of Minnesota,
 suggesting that eastern ND was recolonized by river otters from Minnesota.
 River otters from MB were genetically distinct from all other sampled
 populations. Low genetic differentiation (F ST = 0.044) between South
 Dakota and Louisiana (LA) suggested that reintroductions using LA stock
 were successful. The genetic distinctiveness of river otters from
 different geographic regions should be considered when deciding on source
 populations for future translocations.
description: BrandtJR_JoH_2013
 DryadMicrosatellite genotypes
 at nine loci for sampled river otter individuals.
DOI: 10.5061/dryad.722sg
title: Data from: Spatial correlated games

description: The games are played in a two-dimensional lattice where the players
 interact with their neighbours. Four game-types are scrutinized by
 allowing the players to adopt the strategy of their best paid mate
 neighbour in iterated games. Particular attention is paid in the study to
 the effect of variable degree of correlation on Nash equilibrium strategy
 pairs.
description: qgamesThis is the Fortran used
 in all the simulations of the paper. In its current configuration,
 produces the right frame of Fig.3.makefile runs
 qgames.fThe makefile is used to
 run qgames.f in a Unix environment.makefile
DOI: 10.5061/dryad.mq793
title: Data from: Modeling the internet of things, self-organizing and other complex adaptive communication networks: a cognitive agent-based computing approach

description: Background: Computer Networks have a tendency to grow at an unprecedented
 scale. Modern networks involve not only computers but also a wide variety
 of other interconnected devices ranging from mobile phones to other
 household items fitted with sensors. This vision of the "Internet of
 Things" (IoT) implies an inherent difficulty in modeling problems.
 Purpose: It is practically impossible to implement and test all scenarios
 for large-scale and complex adaptive communication networks as part of
 Complex Adaptive Communication Networks and Environments (CACOONS). The
 goal of this study is to explore the use of Agent-based Modeling as part
 of the Cognitive Agent-based Computing (CABC) framework to model a Complex
 communication network problem. Method: We use Exploratory Agent-based
 Modeling (EABM), as part of the CABC framework, to develop an autonomous
 multi-agent architecture for managing carbon footprint in a corporate
 network. To evaluate the application of complexity in practical scenarios,
 we have also introduced a company-defined computer usage policy. Results:
 The conducted experiments demonstrated two important results: Primarily
 CABC-based modeling approach such as using Agent-based Modeling can be an
 effective approach to modeling complex problems in the domain of IoT.
 Secondly, the specific problem of managing the Carbon footprint can be
 solved using a multiagent system approach.
description: Simulation Results for
 Variation in ComputersThese are simulation
 results for running the simulation with and without Multiagent System for
 Minimizing Carbon Footprint (MASMINC). The MS Excel file has three
 worksheets. One each for number of computers ranging from n=100, n = 500,
 n=1000. The columns are runno for the simulation run. nComputers shows the
 number of computers. Hour shows the time of day. CFPA shows the Carbon
 Footprint Allowance. In each worksheet, there are two set of columns. One
 are for results without MASMINC. The other are for results with
 MASMINC.MASMINC-Sim-Distribution
 n
DOI: 10.5061/dryad.q80f6
title: Data from: FlatNJ: a novel network-based approach to visualize evolutionary and biogeographical relationships

description: Split networks are a type of phylogenetic network that allow visualization
 of conflict in evolutionary data. We present a new method for constructing
 such networks called FlatNetJoining (FlatNJ). A key feature of FlatNJ is
 that it produces networks that can be drawn in the plane in which labels
 may appear inside of the network. For complex data sets that involve, for
 example, non-neutral molecular markers, this can allow additional detail
 to be visualized as compared to previous methods such as split
 decomposition and NeighborNet. We illustrate the application of FlatNJ by
 applying it to whole HIV genome sequences, where recombination has taken
 place, fluorescent proteins in corals, where ancestral sequences are
 present, and mitochondrial DNA sequences from gall wasps, where
 biogeographical relationships are of interest. We find that the networks
 generated by FlatNJ can facilitate the study of genetic variation in the
 underlying molecular sequence data and, in particular, may help to
 investigate processes such as intra-locus recombination. FlatNJ has been
 implemented in Java and is freely available at
 www.uea.ac.uk/computing/software/flatnj.
description: Supplementary
 materialsupplementary-material.pdf
DOI: 10.5061/dryad.pv1kc45
title: Data from: Evolution of increased Medicaco polymorpha size during invasion does not result in increased competitive ability

description: Species invading new habitats experience novel selection pressures that
 can lead to rapid evolution, which may contribute to invasion success
 and/or increased impact on native community members. Many studies have
 hypothesized that plants in the introduced range will be larger than those
 in the native range, leading to increases in competitive ability. There is
 mixed support for evolution of larger sizes in the introduced range, but
 few studies have explicitly tested whether evolutionary changes result in
 decreased competitive responses or increased competitive effects on other
 species in the community. Here we show that introduced Medicago polymorpha
 genotypes produced 14% more aboveground and 41% more belowground biomass
 than genotypes from the native range, suggesting evolutionary changes in
 size occurred after introduction. However, these size differences were
 only observed in the absence of competition. The competitive effects of
 introduced and native range genotypes on three species that commonly
 co-occur with Medicago in invaded regions were remarkably similar. These
 results suggest that evolutionary increases in size during biological
 invasions do not necessarily alter the competitive effects of the invader
 on other community members but may increase invasion success in disturbed
 or low competition environments.
description: Data from Experiments 1
 and 2Data from both
 experiments. Column headings in ReadMe fileForDryad.xlsx
DOI: 10.5061/dryad.2007vq5
title: Data from: Phylogenetic systematics and biogeography of the pantropical genus Sesbania (Leguminosae)

description: Abstract—The pantropical genus Sesbania (Leguminosae) comprises
 approximately 85 species and 34 infraspecific taxa. This genus is unusual
 ecologically in its predilection for wetlands, and morphologically
 distinctive among legumes, yet has never been comprehensively investigated
 for the phylogenetic integrity of its subgeneric classification. We
 subjected a broad sampling of Sesbania species to phylogenetic analysis
 using both nuclear and plastid DNA sequence data. The resulting
 phylogenies support the monophyly of Sesbania and two constituent
 subclades, one represented by the New World endemic sections Daubentonia,
 Daubentoniopsis and Glottidium, and the second comprising the
 pantropically distributed section Sesbania and former subgenera
 Pterosesbania and Agati. The species-rich section Sesbania is paraphyletic
 with respect to subg. Agati and Pterosesbania, while sect. Daubentonia is
 paraphyletic with respect to sect. Daubentoniopsis. Based on these results
 we revise the sectional classification of Sesbania. The genus is
 consistently though weakly supported as sister to tribe Loteae. Rate and
 age estimates suggest that the Sesbania crown clade has an estimated mean
 age of approximately 18.9 Ma. This implicates long-distance dispersal as
 causing the pantropical distribution of the genus. Regardless, the New
 World is optimized as the ancestral area for Sesbania. The prevalence of
 Sesbania in riparian, wetland, and coastal systems combined with low
 levels of geographic phylogenetic structure suggested that hydrochory and
 local extinction potentially explain present-day distributions.
description: TRNK-MATK-6-25-09short3.nxsAligned sequences for the TRNK-MATK region.TRPT-10-13-08.nxsSesbania TRPT sequence alignmentITS6-25-09 For GenbankSesbania ITS sequence alignment