cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.1484dn3
title: Data from: Tropical dung beetle morphological traits predict functional traits and show intra-specific differences across land uses

description: 1. Functional traits and functional diversity measures are increasingly
 being used to examine land use effects on biodiversity and community
 assembly rules. 2. Morphological traits are frequently derived from a mean
 value of many individuals, and used directly as functional traits.
 However, this approach overlooks the importance of intraspecific
 differences. 3. We collected morphometric data from over 1700 individuals
 of 12 species of dung beetle to establish whether morphological
 measurements can be used as predictors of behavioral traits. We also
 compared morphology among individuals collected from different land uses
 to identify if intra-specific differences in morphology vary among land
 use types. 4. We show that leg and eye measurements can be used to predict
 dung beetle nesting behavior and period of activity, and used this
 information to confirm the previously unresolved nesting behavior for
 Synapsis ritsemae. 5. We found intra-specific differences in morphological
 traits across different land use types. Phenotypic plasticity was found
 for traits associated with dispersal (wing aspect ratio and wing loading)
 and reproductive capacity (abdomen size). 6. The ability to predict
 behavioral functional traits from morphology is useful where the behavior
 of dung beetles cannot be directly observed, especially in tropical
 environments where the ecology of many species is poorly understood. 7.
 There have been very few studies investigating variability in animal
 traits. We provide evidence that land use change can cause phenotypic
 plasticity in tropical dung beetle species. Our results reinforce recent
 calls for intraspecific variation in traits to receive more attention
 within community ecology.
description: Dung beetle
 morphological dataDung beetle
 morphological data for 12 species of known functional traits and 1 species
 of unresolved breeding guild. Measurements made are recorded in
 supplementary material and morphometric measurements explained in Table
 1.data_ece3.4218.xls
DOI: 10.5061/dryad.6c31bf2
title: Data from: Comparison of coded-wire tagging with parentage-based tagging and genetic stock identification in a large-scale coho salmon fisheries application in British Columbia, Canada

description: Wild Pacific salmon, including Coho salmon Onchorynchus kisutch, have been
 supplemented with hatchery propagation for over 50 years in support of
 increased ocean harvest and conservation of threatened populations. In
 Canada, the Wild Salmon Policy for Pacific salmon was established with the
 goal of maintaining and restoring healthy and diverse Pacific salmon
 populations, making conservation of wild salmon and their habitats the
 highest priority for resource management decision-making. A new approach
 to the assessment and management of wild coho salmon, and the associated
 hatchery production and fishery management is needed. Implementation of
 parentage-based tagging (PBT) may overcome problems associated with
 coded-wire tag-based (CWT) assessment and management of coho salmon
 fisheries, providing at a minimum information equivalent to that derived
 from the CWT program. PBT and genetic stock identification (GSI) were used
 to identify coho salmon sampled in fisheries (8,006 individuals) and
 escapements (1,692 individuals) in British Columbia to specific
 conservation units (CU), populations, and broodyears. Individuals were
 genotyped at 304 single nucleotide polymorphisms (SNPs) via direct
 sequencing of amplicons. Very high accuracy of assignment to population
 (100%) via PBT for 543 jack (age 2) assigned to correct age and collection
 location and 265 coded-wire tag (CWT, age 3) coho salmon assigned to
 correct age and release location was observed, with a 40,774–individual,
 267–population baseline available for assignment. Coho salmon from
 un-CWTed enhanced populations contributed 65% of the catch in southern
 recreational fisheries in 2017. Application of a PBT-GSI system of
 identification to individuals in 2017 fisheries and escapements provided
 high-resolution estimates of stock composition, catch, and exploitation
 rate by CU or population, providing an alternate and more effective method
 in the assessment and management of Canadian-origin coho salmon relative
 to CWTs, and an opportunity for a genetic-based system to replace the
 current CWT system for coho salmon assessment.
description: 2016_Coho_Jacks_rubiasThis is multi-locus genotype data for the coho Jacks. These were sampled as returned to Hatchery2016-17_Coho_Fishery_Samples_rubiasThis is multi-locus genotype data for the coho Jacks. These were samples taken from fishery.2017_Coho_Escapement_rubiasThis is multi-locus genotype data for the coho escapements. These were sampled as returned to Hatchery
DOI: 10.5061/dryad.fp3qb51
title: Data from: Sensory processing by motoneurons: a numerical model for low-level flight control in flies

description: Rhythmic locomotor behavior in animals requires exact timing of muscle
 activation within the locomotor cycle. In rapidly oscillating motor
 systems, conventional control strategies may be affected by neural delays,
 making these strategies inappropriate for precise timing control. In
 flies, wing control thus requires sensory processing within the peripheral
 nervous system, circumventing the central brain. The underlying mechanism,
 with which flies integrate graded depolarization of visual interneurons
 and spiking proprioceptive feedback for precise muscle activation, is
 under debate. Based on physiological parameters, we developed a numerical
 model of spike initiation in flight muscles of a blowfly. The simulated
 Hodgkin-Huxley neuron reproduces multiple experimental findings and
 explains on the cellular level how vision might control wing kinematics.
 Sensory processing by single motoneurons appears to be sufficient for
 control of muscle power during flight in flies and potentially other
 flying insects, reducing computational load on the central brain during
 body posture reflexes and maneuvering flight.
description: Data BartussekLehmann
 RSI 2018ASCII data of traces in
 figures.
DOI: 10.5061/dryad.121hs31
title: Data from: Non-invasive imaging of CSF-mediated brain clearance pathways via assessment of perivascular fluid movement with DTI MRI

description: The glymphatics system describes a CSF-mediated clearance pathway for the
 removal of potentially harmful molecules, such as amyloid beta, from the
 brain. As such, its components may represent new therapeutic targets to
 alleviate aberrant protein accumulation that defines the most prevalent
 neurodegenerative conditions. Currently, however, the absence of any
 non-invasive measurement technique prohibits detailed understanding of
 glymphatic function in the human brain and in turn, it's role in
 pathology. Here, we present the first non-invasive technique for the
 assessment of glymphatic inflow by using an ultra-long echo time, low
 b-value, multi-direction diffusion weighted MRI sequence to assess
 perivascular fluid movement (which represents a critical component of the
 glymphatic pathway) in the rat brain. This novel, quantitative and
 non-invasive approach may represent a valuable biomarker of CSF-mediated
 brain clearance, working towards the clinical need for reliable and early
 diagnostic indicators of neurodegenerative conditions such as
 Alzheimer's disease.
description: All data from study in
 achieved folder.Data from each subject
 (rat) saved as individual nifti file. part 1:
 multi_direction_diffusion_weighted (MDDW, n=10); part 2: diffusion tensor
 imaging (DTI, n=6); part 3: ECG gated (n=5); part 4: dobutamine (n=6). For
 the ECG data (part 3) the imaging data is saved as a 4D array with the 4th
 dimension equal to 2. The first element corresponds to the 36ms delay to
 the r wave (i.e arterial pulsation) and the second element corresponds to
 the 116ms delay (i.e diastole). For the dobutamine data (part 4), the data
 is also saved as a 4D array with the same dimensions. The first element of
 the 4th dimension corresponds to the baseline measurement and the second
 element corresponds to the measurement after dobutamine (rats 1-3) or
 saline vechicle (rats 4-6).Dryad_data.7z
DOI: 10.5061/dryad.4hj00fr
title: Data from: Ecosystem context illuminates conflicting roles of plant diversity in carbon storage

description: Plant diversity can increase biomass production in plot‐scale studies, but
 applying these results to ecosystem carbon (C) storage at larger spatial
 and temporal scales remains problematic. Other ecosystem controls interact
 with diversity and plant production, and may influence soil pools
 differently from plant pools. We integrated diversity with the
 state‐factor framework, which identifies key controls, or ‘state factors’,
 over ecosystem properties and services such as C storage. We used this
 framework to assess the effects of diversity, plant traits and state
 factors (climate, topography, time) on live tree, standing dead, organic
 horizon and total C in Québec forests. Four patterns emerged: (1) while
 state factors were usually the most important model predictors, models
 with both state and biotic factors (mean plant traits and diversity)
 better predicted C pools; (2) mean plant traits were better predictors
 than diversity; (3) diversity increased live tree C but reduced organic
 horizon C; (4) different C pools responded to different traits and
 diversity metrics. These results suggest that, where ecosystem properties
 result from multiple processes, no simple relationship may exist with any
 one organismal factor. Integrating biodiversity into ecosystem ecology and
 assessing both traits and diversity improves our mechanistic understanding
 of biotic effects on ecosystems.
description: Quebec Forest Data for
 Adair et al Ecology LettersForest carbon data with
 abiotic, biotic, and diversity variables.Adair_EcolLet_2018_Full_Dataset.csv
DOI: 10.5061/dryad.n8f2q8g
title: Data from: Extinction risk in extant marine species integrating paleontological and biodistributional data

description: Extinction risk assessments of marine invertebrate species remain scarce,
 which hinders effective management of marine biodiversity in the face of
 anthropogenic impacts. In order to close this information gap, we
 developed a metric of relative extinction risk that combines
 paleontological data, in the form of extinction rates calculated from the
 fossil record, with two known correlates of risk in the modern day:
 geographic range size and realized thermal niche. We test the performance
 of this metric - PERIL (Paleontological Extinction Risk In Lineages) -
 using survivorship analyses of Pliocene bivalve faunas from California and
 New Zealand, and then use it to identify present-day hotspots of
 extinction vulnerability for extant shallow-marine Bivalvia. Areas of the
 ocean where concentrations of bivalve species with higher PERIL scores
 overlap with high levels of climatic or anthropogenic stressors should be
 considered of most immediate concern for conservation and for management.
description: Raw bivalve data for
 PERIL calculationRaw data including valid
 taxonomy, extinction rate of families, geographic range size, and thermal
 niche, for the shallow-marine Recent Bivalvia, provided for calculation of
 PERIL scores.PERIL_rawdata.csvPERIL scores for Pliocene BivalviaPERIL scores and related data for analysis of PERIL in Pliocene Bivalvia from two regional faunas in California and New ZealandpaleoPERILscores.csvPERIL calculation codeR code for the calculation of PERIL from the raw datafile provided for the Recent Bivalvia. Also includes code to build plots from the paper.PERIL_metric.RCode for analysis of Pliocene PERILCode for analysing Pliocene bivalve PERIL scores using the paleo-PERIL raw data providedpaleoPERIL_metric.R
DOI: 10.5061/dryad.fc5c0s4
title: Data from: Northern bottlenose whales in a pristine environment respond strongly to close and distant navy sonar signals

description: Impact assessments for sonar operations typically use received sound
 levels to predict behavioural disturbance in marine mammals. However,
 there are indications that cetaceans may learn to associate exposures from
 distant sound sources with lower perceived risk. To investigate the roles
 of source distance and received level in an area without frequent sonar
 activity, we conducted multi-scale controlled exposure experiments (n = 3)
 with 12 northern bottlenose whales near Jan Mayen, Norway. Animals were
 tagged with high-resolution archival tags (n = 1 per experiment) or
 medium-resolution satellite tags (n = 9 in total) and subsequently exposed
 to sonar. We also deployed bottom-moored recorders to acoustically monitor
 for whales in the exposed area. Tagged whales initiated avoidance of the
 sound source over a wide range of distances (0.8–28 km), with responses
 characteristic of beaked whales. Both onset and intensity of response were
 better predicted by received sound pressure level (SPL) than by source
 distance. Avoidance threshold SPLs estimated for each whale ranged from
 117–126 dB re 1 µPa, comparable to those of other tagged beaked whales. In
 this pristine underwater acoustic environment, we found no indication that
 the source distances tested in our experiments modulated the behavioural
 effects of sonar, as has been suggested for locations where whales are
 frequently exposed to sonar.
description: Acoustic detections of
 bottlenose whalesData from two PAM
 recordings: JM1 (2015) and JM5 (2016)NBWdetections.xlsxScript to analyse acoustic detectionsScript to plot the 2015 and 2016 data and calculate the empirical CDF of the pre-exposure click-absent periods for 2016PAM_analysis.mSatellite tag data for HMM analysisARGOS tracks filtered with R package crawl.sat-tag-data.RDataDTAG data for Response Intensity analysisMahalanobis distance timeseries data from DTAGs for modelling of the response intensity indexDTAG-data.RDataScript to analysis DTAG dataModelling of response intensity index sensu DeRuiter et al. (2013), Biology LettersRI_analysis.RHelper functions to analyse DTAG dataFitting functions for response intensity indexRI_functions.RScript to analyse satellite tag tracksHMM analysis using R package MomentuHHMHMM_analysis.RRaw ARGOS satellite track dataRaw satellite tag data for 2015-2016 transmitted through the ARGOS system.Raw_Argos_2015-2016.csv
DOI: 10.5061/dryad.jt089hg
title: Data from: Quantifying climate sensitivity and climate-driven change in North American amphibian communities

description: Changing climate will impact species’ ranges only when environmental
 variability directly impacts the demography of local populations. However,
 measurement of demographic responses to climate change has largely been
 limited to single species and locations. Here we show that amphibian
 communities are responsive to climatic variability, using &gt;500,000
 time-series observations for 81 species across 86 North American study
 areas. The effect of climate on local colonization and persistence
 probabilities varies among eco-regions and depends on local climate,
 species life-histories, and taxonomic classification. We found that local
 species richness is most sensitive to changes in water availability during
 breeding and changes in winter conditions. Based on the relationships we
 measure, recent changes in climate cannot explain why local species
 richness of North American amphibians has rapidly declined. However,
 changing climate does explain why some populations are declining faster
 than others. Our results provide important insights into how amphibians
 respond to climate and a general framework for measuring climate impacts
 on species richness.
description: Supplemental Data 2 -
 Species TraitsSpecies trait values
 used in analyses.Supplemental Data 1 -
 Code to fit modelModel code in bugs
 language.Data set for
 analysesIncludes study area,
 site, year, and species information as well as covariates used in the
 analyses. Exact location information is not included for sites due to the
 sensitive nature of many of the species. Please contact authors directly
 to request this information.data set used in
 analyses.csv
DOI: 10.5061/dryad.b701bs0
title: Data from: Avian predation intensity as a driver of clinal variation in colour morph frequency

description: 1) Phenotypic variation provides the framework for natural selection to
 work upon, enabling adaptive evolution. One of the most discernible
 manifestations of phenotypic variability is colour variation. When this
 variation is discrete, genetically-based colour pattern morphs occur
 simultaneously within a population. 2) Why and how colour polymorphisms
 are maintained is an evolutionary puzzle. Several evolutionary drivers
 have been hypothesized as influencing clinal patterns of morph frequency,
 with spatial variation in climate and predation being considered
 especially important. Despite this, no study has examined both of their
 roles simultaneously. The aims of this study were to: 1) examine the
 covariation of physiology, environmental variables, and colouration at a
 local scale; and 2) determine if these factors and their interplay explain
 broad clinal variation in morph frequency. 3) We used the lizard Liopholis
 whitii as a model system, as this species displays a discrete, heritable
 polymorphism for colour pattern (plain-backed, patterned morphs) whose
 morph frequency varies latitudinally. We measured reflectance, field
 activity temperatures, and microhabitat structure to test for differences
 in crypsis, thermal biology, and microhabitat selection of patterned and
 plain-backed morphs within a single population where colour morphs occur
 sympatrically. We then used data from the literature to perform a
 broad-scale analysis to identify whether these factors also explained the
 latitudinal variation of morph frequency in this species. 4) At the local
 scale, plain-backed morphs were found to be less cryptic than patterned
 morphs while no other differences were detected in terms of thermal
 biology, dorsal reflectance, and microhabitat use. At a broader scale,
 predation was the most influential factor mediating morph frequency across
 latitudes. However, the observed pattern of morph frequency is opposite to
 what the modelling results suggest in that the incidence of the least
 cryptic morph is highest where predation pressure is most severe. Clinal
 variation in the level of background matching between morphs or the
 potential reproductive advantage by the plain-backed morph may, instead,
 be driving the observed morph frequency. 5) Together, these results
 provide key insights into the evolution of local adaptation as well as the
 ecological forces involved in driving the dynamics of colour polymorphism.
description: Field
 Datafield data comprised of
 lizard habitat, thermal, and morphological informationG Matthews Honours 2016
 data.xlsxachromatic and chromatic
 contrastsachromatic and chromatic
 contrasts between lizard dorsal surface and selected
 microhabitatach-chr version datasheet for
 revision2.xlsx
DOI: 10.5061/dryad.4c1246q
title: Data from: The “tolerant chimpanzee” - towards the costs and benefits of sociality in female bonobos

description: Humans share an extraordinary degree of sociality with other primates,
 calling for comparative work into the evolutionary drivers of the
 variation in social engagement observed between species. Of particular
 interest is the contrast between the chimpanzee (Pan troglodytes) and
 bonobo (Pan paniscus), the latter exhibiting increased female
 gregariousness, more tolerant relationships, and elaborate behavioral
 adaptations for conflict resolution. Here we test predictions from three
 socio-ecological hypotheses regarding the evolution of these traits using
 data on wild bonobos at LuiKotale, Democratic Republic of Congo. Focusing
 on the behavior of co-feeding females and controlling for variation in
 characteristics of the feeding patch, food intake rate moderately
 increased while feeding effort decreased with female dominance rank,
 indicating that females engaged in competitive exclusion from high quality
 food resources. However, these rank effects did not translate into
 variation in energy balance, as measured from urinary C-peptide levels.
 Instead, energy balance varied independent of female rank with the
 proportion of fruit in the diet. Together with the observation that
 females join forces in conflicts with males, our results support the
 hypothesis that predicts that females trade off feeding opportunities for
 safety against male aggression. The key to a full understanding of
 variation in social structure may be an integrated view of cooperation and
 competition over access to the key resources food and mates, both within
 and between the sexes.
description: main_pan_analysis_II_intake_poisson_script_07022017R script for analysing food intake using a GLMMMASTER_analyses_II_R_file_intake_fFile containing the variables for the GLMM on food intake, analysed in RMAIN_pan_analysis_III_movement_script_26092016R script for analysing movement probability in focal trees using GLMMMASTER_analyses_III_R_file_movement_fFile containing the variables to analyse movement probability with a GLMM in Rmain_ucp_model_script_21022018_seasonality_update_with_feedscansR script to analyse variation in urinary C-peptide in a LMMmain_ucp_model_data_r_2018_seasonality_update_with_feed_scansFile containing the variables to analyse variation in urinary C-peptide using an LMM in R