cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.n8d6s43
title: Data from: Occasional long-distance dispersal increases spatial synchrony of population cycles

description: 1. Spatially-separated populations of the same species often exhibit
 correlated fluctuations in abundance, a phenomenon known as spatial
 synchrony. Dispersal can generate spatial synchrony. In nature, most
 individuals disperse short distances with a minority dispersing long
 distances. The effect of occasional long-distance dispersal on synchrony
 is untested, and theoretical predictions are contradictory. Occasional
 long-distance dispersal might either increase both overall synchrony and
 the spatial scale of synchrony, or reduce them. 2. We conducted a protist
 microcosm experiment to test whether occasional long-distance dispersal
 increases or decreases overall synchrony and the spatial scale of
 synchrony. 3. We assembled replicate 15-patch ring metapopulations of the
 protist predator Euplotes patella and its protist prey Tetrahymena
 pyriformis. All metapopulations experienced the same dispersal rate, but
 differed in dispersal distance. Some metapopulations experienced strictly
 short-distance (nearest neighbor) dispersal, others experienced a mixture
 of short- and long-distance dispersal. 4. Occasional long distance
 dispersal increased overall spatial synchrony and the spatial scale of
 synchrony for both prey and predators, though the effects were not
 statistically significant for predators. As predicted by theory, dispersal
 generated spatial synchrony by entraining the phases of the predator-prey
 cycles in different patches, a phenomenon known as phase locking. 5. Our
 results are consistent with theoretical models predicting that occasional
 long-distance dispersal increases spatial synchrony. However, our results
 also illustrate that the spatial scale of synchrony need not match the
 spatial scale of the processes generating synchrony. Even strictly
 short-distance dispersal maintained high spatial synchrony for many
 generations at spatial scales much longer than the dispersal distance,
 thanks to phase locking.
description: Thesis Code Experimental
 - for data dryadR script for calculating
 time series of species' densities, cross-correlations of those time
 series, and wavelet transforms of those time series.Summer 2016 Data -
 8.26data
 fileSummer 2016 treatment
 layouttreatment
 codes
DOI: 10.5061/dryad.p4p62
title: Data from: A statistical skull geometry model for children 0-3 years old

description: Head injury is the leading cause of fatality and long-term disability for
 children. Pediatric heads change rapidly in both size and shape during
 growth, especially for children under 3 years old (YO). To accurately
 assess the head injury risks for children, it is necessary to understand
 the geometry of the pediatric head and how morphologic features influence
 injury causation within the 0–3 YO population. In this study, head CT
 scans from fifty-six 0–3 YO children were used to develop a statistical
 model of pediatric skull geometry. Geometric features important for injury
 prediction, including skull size and shape, skull thickness and suture
 width, along with their variations among the sample population, were
 quantified through a series of image and statistical analyses. The size
 and shape of the pediatric skull change significantly with age and head
 circumference. The skull thickness and suture width vary with age, head
 circumference and location, which will have important effects on skull
 stiffness and injury prediction. The statistical geometry model developed
 in this study can provide a geometrical basis for future development of
 child anthropomorphic test devices and pediatric head finite element
 models.
description: Landmark information for
 56 pediatric skulls from CT scansThis zip file includes 4
 folders: subject info, landmark location, suture width, and thickness.
 Landmark information is provided for each subject in the last three
 folders, and the landmark numbers are corresponding to those listed in the
 paper.Raw_data_updated2015_4_18.zip
DOI: 10.15468/dl.8m3udb
title: Occurrence Download

description: A dataset containing 156 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Geometry POLYGON((105 20,170 20,170 70,105 70,105 20))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sparganium gramineum"
 ]
}

 The dataset includes 156 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000738-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.1g439
title: Data from: Feeding preference as a main determinant of microscale patchiness among terrestrial nematodes

description: Soil biota are responsible for essential ecosystem services such as carbon
 storage, nutrient cycling and water retention. However, assessment of the
 condition of soil biota is hampered by an overwhelming level of diversity.
 With representatives in all trophic levels of the food web, nematode
 communities can be used as bio-indicators. Accurate assessment of nematode
 assemblages requires insight in the distribution of specimens with
 distinct food preferences. With the availability of taxon-specific
 quantitative-PCR assays, distribution patterns of multiple nematode groups
 can be investigated simultaneously. Here, microscale patchiness of 45
 nematode taxa was studied on 12 sampling sites (each with four adjacent
 microplots) located on arable fields or semi-natural grasslands
 (‘system’), and on marine-, river clay or sandy soils (‘soil type’). From
 each microplot five composite samples were collected. Contrary to our
 expectations, an increase of the number of cores per composite sample did
 not result in more accurate measurements, and apparently the levels of
 microscale patchiness of the taxa are low compared to what has been
 reported for oligophagous plant-parasites. System and soil type did not
 affect microscale distribution. To investigate the level of patchiness in
 more detail, detection probability (DP) and variability of abundances were
 calculated. Common and widespread bacterivorous and fungivorous taxa had
 DP ≥ 90%, confirming low level of microscale patchiness. With DPs of
 40-70%, predators and most omnivores showed degrees of local clustering.
 An overview of mean variabilities of abundances is presented that offers
 insight in how feeding preferences impact the microscale distribution both
 between and within trophic groups.
description: 151021DatafilemicroscaleExcel file with Nematode taxon abundances per sample.
DOI: 10.5061/dryad.0b43t
title: Data from: Ecological opportunity and the evolution of habitat preferences in an arid-zone bird: implications for speciation in a climate-modified landscape

description: Bioclimatic models are widely used to investigate the impacts of climate
 change on species distributions. Range shifts are expected to occur as
 species track their current climate niche yet the potential for
 exploitation of new ecological opportunities that may arise as ecosystems
 and communities remodel is rarely considered. Here we show that grasswrens
 of the Amytornis textilis-modestus complex responded to new ecological
 opportunities in Australia’s arid biome through shifts in habitat
 preference following the development of chenopod shrublands during the
 late Plio-Pleistocene. We find evidence of spatially explicit responses to
 climatically driven landscape changes including changes in niche width and
 patterns of population growth. Conservation of structural and functional
 aspects of the ancestral niche appear to have facilitated recent habitat
 shifts, while demographic responses to late Pleistocene climate change
 provide evidence for the greater resilience of populations inhabiting the
 recently evolved chenopod shrubland communities. Similar responses could
 occur under future climate change in species exposed to novel ecological
 conditions, or those already occupying spatially heterogeneous landscapes.
 Mechanistic models that consider structural and functional aspects of the
 niche along with regional hydro-dynamics may be better predictors of
 future climate responses in Australia’s arid biome than bioclimatic models
 alone.
description: Atriplex ITS
 sequencesAligned Atriplex ITS
 sequences in nexus format with indels removed or treated as missing data.
 The datafile includes 33 of the 58 native Australian species. Three
 representatives of the genus Halimione are included as
 outgroups.Atriplex_noindel.txtAustralian Camphorosmeae ITS sequencesAlignment of the Australian Camphorosemeae ITS sequences in nexus format. Indels have been removed or treated as missing data. The datafile contains 33 of the 145 native Australian species along with three outgroups; Kochia melanoptera, Kochia krylovii and Bassia dasyphylla.Sclerolaena_noindel.txtMitochondrial ND2 sequences for the Amytornis textilis-modestus complexAlignment of 74 ND2 sequences for the Amytornis textilis-modestus species complex. Sequences are coded by their GenBank accessions as described by Austin et al (2013). The datafile also includes four outgroup sequences; Amytornis purnelli, A. ballarae, A. housei and A. goyderi.textilisND2.nex.txt
DOI: 10.5061/dryad.q1nc0
title: Data from: Conservation genetics of extremely isolated urban populations of the Northern Dusky Salamander (Desmognathus fuscus) in New York City

description: Urbanization is a major cause of amphibian decline. Stream-dwelling
 plethodontid salamanders are particularly susceptible to urbanization due
 to declining water quality and hydrological changes, but few studies have
 examined these taxa in cities. The northern dusky salamander (Desmognathus
 fuscus) was once common in the New York City metropolitan area, but has
 substantially declined throughout the region in recent decades. We used
 five tetranucleotide microsatellite loci to examine population
 differentiation, genetic variation, and bottlenecks among five remnant
 urban populations of dusky salamanders in NYC. These genetic measures
 provide information on isolation, prevalence of inbreeding, long-term
 prospects for population persistence, and potential for evolutionary
 responses to future environmental change. All populations were genetically
 differentiated from each other, and the most isolated populations in
 Manhattan have maintained very little genetic variation (i.e. &lt; 20%
 heterozygosity). A majority of the populations also exhibited evidence of
 genetic bottlenecks. These findings contrast with published estimates of
 high genetic variation within and lack of structure between populations of
 other desmognathine salamanders sampled over similar or larger spatial
 scales. Declines in genetic variation likely resulted from population
 extirpations and the degradation of stream and terrestrial paths for
 dispersal in NYC. Loss of genetic variability in populations isolated by
 human development may be an underappreciated cause and/or consequence of
 the decline of this species in urbanized areas of the northeast USA.
description: Desmognathus.Genotypes.02Feb2012Microsatellite genotypes in GenAlex format for five urban populations of northern dusky salamanders. Site name: HPN = North Highbridge Park; HPS = South Highbridge Park; CPW = Corson's Brook Woods; RB = Reed's Basket Willow; WR = Watchung ReservationduskycoordsText file of spatial coordinates used in BAPS analysis for five northern dusky salamander populations.
DOI: 10.5061/dryad.987j2
title: Data from: The influence of adult attachment on patient self-management in primary care

description: Objective: Self-management strategies are essential elements of
 evidence-based treatment in patients with chronic conditions in primary
 care. Our objective was to analyse different self-management skills and
 behaviours and their association to adult attachment in primary care
 patients with multiple chronic conditions. Methods: In the apricare study
 (Adult Attachment in Primary Care) we used a prospective longitudinal
 design to examine the association between adult attachment and
 self-management in primary care patients with multimorbidity. The
 attachment dimensions avoidance and anxiety were measured using the
 ECR-RD. Self-management skills were measured by the FERUS (motivation to
 change, coping, self-efficacy, hope, social support) and
 self-management-behaviour by the DSMQ (glucose management, dietary
 control, physical activity, health-care use). Clinical diagnosis and
 severity of disease were assessed by the patients’ GPs. Multivariate
 analyses (GLM) were used to assess the relationship between the dimensions
 of adult attachment and patient self-management. Results: 219 patients in
 primary care with multiple chronic conditions (type II diabetes,
 hypertension and at least one other chronic condition) between the ages of
 50 and 85 were included in the study. The attachment dimension anxiety was
 positively associated with motivation to change and negatively associated
 with coping, self-efficacy and hope, dietary control and physical
 activity. Avoidance was negatively associated with coping, self-efficacy,
 social support and health care use. Conclusion: The two attachment
 dimensions anxiety and avoidance are associated with different components
 of self-management. A personalized, attachment-based view on patients with
 chronic diseases could be the key to effective, individual self-management
 approaches in primary care.
description: attachment and self
 management _engl_decimal seperator pointData from primary care
 patients with multiple chronic diseases
DOI: 10.15468/dl.2adyu3
title: Occurrence Download

description: A dataset containing 76 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Geometry POLYGON((105 20,170 20,170 70,105 70,105 20))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Juncus potaninii"
 ]
}

 The dataset includes 76 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000741-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6vgrtc
title: Occurrence Download

description: A dataset containing 406 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Geometry POLYGON((105 20,170 20,170 70,105 70,105 20))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Juncus triglumis"
 ]
}

 The dataset includes 406 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000739-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.675260p
title: Data from: Machine learning methods for locating re-entrant drivers from electrograms in a model of atrial fibrillation

description: Mapping resolution has recently been identi ed as a key limitation in
 successfully locating the drivers of atrial brillation. Using a simple
 cellular automata model of atrial fibrillation, we demonstrate a method by
 which re-entrant drivers can be located quickly and accurately using a
 collection of indirect electrogram measurements. The method proposed
 employs simple, out of the box machine learning algorithms to correlate
 characteristic electrogram gradients with the displacement of an
 electrogram recording from a re-entrant driver. Such a method is less
 sensitive to local fluctuations in electrical activity. As a result, the
 method successfully locates 95.4% of drivers in tissues containing a
 single driver, and 95.1% (92.6%) for the first (second) driver in tissues
 containing two drivers of atrial fi brillation. Additionally, we
 demonstrate how the technique can be applied to tissues with an arbitrary
 number of drivers. In its current form, the techniques presented are not
 refi ned enough for a clinical setting. However, the methods proposed
 offer a promising path for future investigations aimed at improving
 targetted ablation for atrial fibrillation.
description: RSOS172434_RAWDATARaw data corresponding to Table I in submission.
DOI: 10.5061/dryad.8q7s6
title: Data from: A resource on latitudinal and altitudinal clines of ecologically relevant phenotypes of the Indian Drosophila

description: The unique geography of the Indian subcontinent has provided diverse
 natural environments for a variety of organisms. In this region, many
 ecological indices such as temperature and humidity vary predictably as a
 function of both latitude and altitude; these environmental parameters
 significantly affect fundamental dynamics of natural populations. Indian
 drosophilids are diverse in their geographic distribution and climate
 tolerance, possibly as a result of climatic adaptation. These associations
 with environmental parameters are further reflected in a large number of
 clines that have been reported for various fitness traits along these
 geographical ranges. This unique amalgamation of environmental variability
 and genetic diversity make the subcontinent an ecological laboratory for
 studying evolution in action. We assembled data collected over the last 20
 years on the geographical clines for various phenotypic traits in several
 species of drosophilids and present a web-resource on Indian-Drosophila (
 http://www.indian-drosophila.org/). The clinal data on ecologically
 relevant phenotypes of Indian drosophilids will be useful in addressing
 questions related to future challenges in biodiversity and ecosystems in
 this region.
description: Table
 S1_DrosoClineTable
 S2_CodebookThis table contains
 further details on Table S1_DrosoClineTable S3_ Geographical
 coordintaes
DOI: 10.5061/dryad.hq8pd
title: Data from: Multi-objective optimization for plant germplasm collection conservation of genetic resources based on molecular variability

description: Germplasm collections play a significant role among strategies for
 conservation of diversity. It is common to select a core collection to
 represent the genetic diversity of a germplasm collection, in order to
 minimize the cost of conservation, while ensuring the maximization of
 genetic variation. We aimed to solve two main problems: (1) to select a
 set of individuals, from an in situ data set, that is genetically
 complementary to an existing germplasm collection, and (2) to define a
 core collection for a germplasm collection. We proposed a new
 multi-objective optimization (MOO) approach based on principles of
 systematic conservation planning (SCP) incorporating heterozygosity
 information; therefore, optimization takes genotypic diversity and
 variability patterns into account as well. As a case study, we used
 Dipteryx alata microsatellite loci information from two sources, an ex
 situ germplasm collection located at the Agronomy School of the Federal
 University of Goiás (UFG-AS), and an in situ data set composed of 642
 sampled individual trees. We were able to identify within a population of
 several individuals, the exact accessions/samples that should be chosen in
 order to preserve the species diversity. We found that material from nine
 in situ individual trees are enough to complement the UFG-AS germplasm
 collection as it is, and that it is possible to define a core collection
 of 20 individual trees representing all studied genetic diversity.
 Moreover, we defined a method (a protocol) to deal with large amounts of
 accessions in the context of MOO. The proposed approach can be used to
 help constructing collections with maximal allelic richness and can also
 be extended to the in situ conservation. As far as we know, this is the
 first time that principles of SCP and the MOO approach are applied to the
 problem of complementing a germplasm collection and of finding a core
 collection for a germplasm collection.
description: Supplementary_File_S1(geografic_location)Geographic location of D. alata populations.Supplementary_File_S2(ex-situ_data)Excel file containing D. alata ex-situ genotype data (UFG-AS germplasm collection). Individuals are identified in each row. Loci are designated by column with the nine microsatellite listed. (?) refers to missing data.Supplementary_File_S3(in-situ_data)Excel file containing D. alata in-situ genotype data. Individuals are identified by population in each row. Loci are designated by column with the nine microsatellite listed. (?) refers to missing data.
DOI: 10.5061/dryad.4f2t0
title: Data from: A free-ranging, feral mare (Equus caballus) affords similar maternal care to her genetic and adopted offspring

description: Adoption of non-genetic offspring occurs in a variety of species, but is
 rare in equids. We report a case of adoption by a free-ranging, feral mare
 (Equus caballus) and compare the maternal care received by her genetic
 offspring (born 1995) to that of her adopted offspring (born 1996) for the
 first 30 weeks of development. We compare five measures of care: 1) total
 time spent suckling, 2) mare aggression during suckling, 3) number of
 mare-terminated suckling bouts, 4) contact maintenance, and 5) mare-foal
 distance. For most behaviors, we detected no difference in the mare's
 treatment of the two foals, however, mare-foal distance was greater for
 the genetic offspring. We compare hypotheses regarding the reasons for
 adoption, offering post-partum physiological state as a potential driver.
description: Aggression
 Dataaggression by mares
 during suckling; data collected in the field; Microsoft Excel;
 MareCat.=mare category; FoalCat=foal category; TOD=time of day; em=early
 morning; lm=late morning; ea=early afternoon; la=late afternoon;
 TotAgg=total number of aggressive acts by mares during
 suckling.Contact
 Datacontact maintenance
 between mares and foals; data collected in the field; Microsoft Excel;
 foalcat=foal category;perc.app=percent of movements that were approaches
 by the foals; perc.leave=percent of movements that were leaves by the
 foals; diff.percapp.percleave=%approaches-%leaves by the
 foalsDistance
 Datadistance between mares
 and foals; data collected in the field, Microsoft Excel; MareCat=mare
 category; FoalCat=foal category; TOD=time of day; EM=early morning;
 LM=late morning; EA=early afternoon; LA=late afternoon;
 Distmeters=distance between mares and foals in meters.Dist Data AmNat
 051713.csvIntake Rate
 Dataintake rate (suckling
 bouts/hour*suckling bout duration) by foals; data collected in the field;
 Microsoft Excel; MareCat=mare category; FoalCat=foal category; SUEM=number
 of suckling bouts in the early morning; SULM=number of suckling bouts in
 the late morning; SUEA=number of suckling bouts in the early afternoon;
 SULA=number of suckling bouts in the late morning; TotSU=total number of
 suckling bouts; TotTime Hrs= total hours foals were watched;
 su.per.hr=suckling bouts per hour; sec.per.bout=duration of bouts in
 seconds; su.hr.sec.bout=suckles/hour * seconds/bout.Suckling Termination
 Datatermination of suckling
 by the mares; data collected in the field; Microsoft Excel; TOD=time of
 day; em=early morning; lm=late morning; ea=early afternoon; la=late
 afternoon; Term=terminator of suckling; m=mare; f=foal; Termdum=dummy
 variable for terminator of suckling; 1=mare; 0=foal.Term Data AmNat
 051713.csvWeather
 Datatemperature and
 precipitation data for 1995 and 1996; data collected from National Climate
 Data Center. 2009. (accessed August 17, 2009),
 http://www.ncdc.noaa.gov/oa/climate/climatedata.html#monthly; Microsoft
 Excel; T=temperature; max=maximum; min=minimum; sumprcp=sum
 precipitation.1995_1996
 weather.xlsx