cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.r6s1c
title: Data from: Continental divide: predicting climate-mediated fragmentation and biodiversity loss in the boreal forest

description: Climate change threatens natural landscapes through shifting distribution
 and abundance of species and attendant change in the structure and
 function of ecosystems. However, it remains unclear how climate-mediated
 variation in species' environmental niche space may lead to
 large-scale fragmentation of species distributions, altered
 meta-population dynamics and gene flow, and disrupted ecosystem integrity.
 Such change may be especially relevant when species distributions are
 restricted either spatially or to a narrow environmental niche, or when
 environments are rapidly changing. Here, we use range-wide environmental
 niche models to posit that climate-mediated range fragmentation aggravates
 the direct effects of climate change on species in the boreal forest of
 North America. We show that climate change will directly alter
 environmental niche suitability for boreal-obligate species of trees,
 birds and mammals (n=12), with most species ranges becoming smaller and
 shifting northward through time. Importantly, species distributions will
 become increasingly fragmented, as characterized by smaller mean size and
 greater isolation of environmentally-suitable landscape patches. This loss
 is especially pronounced along the Ontario-Québec border, where the boreal
 forest is narrowest and roughly 78% of suitable niche space could
 disappear by 2080. Despite the diversity of taxa surveyed, patterns of
 range fragmentation are remarkably consistent, with our models predicting
 that spruce grouse (Dendragapus canadensis), boreal chickadee (Poecile
 hudsonicus), moose (Alces americanus) and caribou (Rangifer tarandus)
 could have entirely disjunct east-west population segments in North
 America. These findings reveal potentially dire consequences of climate
 change on population continuity and species diversity in the boreal
 forest, highlighting the need to better understand: 1) extent and primary
 drivers of anticipated climate-mediated range loss and fragmentation; 2)
 diversity of species to be affected by such change; 3) potential for rapid
 adaptation in the most strongly-affected areas; and 4) potential for
 invasion by replacement species.
description: GeoTIFF files of
 suitable climate for boreal speciesfragstat_files.rar
DOI: 10.5061/dryad.vb549
title: Data from: Colour patch size and measurement error using reflectance spectrometry

description: 1. Over the past twenty years, portable and relatively affordable
 spectrophotometers have greatly advanced the study of animal coloration.
 However, the small size of many colour patches poses methodological
 challenges that have not, to date, been assessed in the literature. Here,
 we tackle this issue for a reflectance spectrophotometry set-up widely
 used in ecology and evolution (the beam method). 2. We reviewed the
 literature on animal coloration reporting the use of reflectance
 spectrophotometry to explore how the minimum measurable size of a colour
 patch is determined. We then used coloured plastic sheets to create
 artificial colour patches, and quantify the relationship between colour
 patch size and distortions induced by resulting chimeric spectra (spectra
 contaminated by an adjacent colour patch). Finally, we assessed the
 generality of our findings using natural colour spots in the lizard
 Podarcis muralis, as a biologically realistic model. 3. We found a lack of
 consensus in the literature, frequently resulting in the rejection of
 valid data or the potential inclusion of unreliable data. As expected, we
 show that decreasing colour patch size reduces the reliability of
 reflectance measurements, but also that spectral distortions resulting
 from chimeric spectra depend on patch/background colour combinations. We
 found similar results using natural colour spots in P. muralis. 4. We
 propose a series of steps to avoid the pitfalls described above. First, we
 provide guidelines on how to identify chimeric spectra and estimate the
 minimum size of a measurable colour patch in order to avoid them. Second,
 we show that reducing the probe-to-surface distance allows for more
 accurate measurements and therefore improves the spectrophotometric
 assessment of small colour patches. Third, we suggest that, as a general
 rule of thumb, very small (&lt; 2 mm) colour patches should be avoided
 when using traditional spectrophotometry methods.
description: Spectra_3mmSpectra obtained at a 3-mm distance of the different centre/surround colour combinations of the artificial coloured plastic plates used in Experiment 1.Data_3mm.xlsxSpectra_5mmSpectra obtained at a 5-mm distance of the different colour combinations of the artificial coloured plastic sheets used in experiment 1.Data_5mm.xlsxPmuralis_spectra_OVSSpectra of the UV outer-ventral scale (OVS) displayed by Podarcis muralis, spectra of their orange ventral coloration, and spectra of their black coloration. We also took chimeric spectra including UV-OVS with the orange ventral coloration and with the black colorationPmuralis_spectra.xlsx
DOI: 10.17632/9kvv7bv25m.9
title: Food Restriction Patterns and Their Impact on Growth and Nutrition in Chinese Pediatric Atopic Dermatitis

description: Supplemental material for "Food Restriction Patterns and Their Impact on Growth and Nutrition in Chinese
Pediatric Atopic Dermatitis"
DOI: 10.5061/dryad.77h7k
title: Data from: Attributing changes in the distribution of species abundance to weather variables using the example of British breeding birds

description: 1. Modelling spatio-temporal changes in species abundance and attributing
 those changes to potential drivers such as climate, is an important but
 difficult problem. The standard approach for incorporating climatic
 variables into such models is to include each weather variable as a single
 covariate whose effect is expressed through a low-order polynomial or
 smoother in an additive model. This, however, confounds the spatial and
 temporal effects of the covariates. 2. We developed a novel approach to
 distinguish between three types of change in any particular weather
 covariate. We decomposed the weather covariate into three new covariates
 by separating out temporal variation in weather (averaging over space),
 spatial variation in weather (averaging over years) and a space-time
 anomaly term (residual variation). These three covariates were each fitted
 separately in the models. We illustrate the approach using generalized
 additive models applied to count data for a selection of species from the
 UK’s Breeding Bird Survey, 1994-2013. The weather covariates considered
 were the mean temperatures during the preceding winter and temperatures
 and rainfall during the preceding breeding season. We compare models that
 include these covariates directly with models including decomposed
 components of the same covariates, considering both linear and smooth
 relationships. 3. The lowest QAIC values were always associated with a
 decomposed weather covariate model. Different relationships between counts
 and the three new covariates provided strong evidence that the effects of
 changes in covariate values depended on whether changes took place in
 space, in time, or in the space-time anomaly. These results promote
 caution in predicting species distribution and abundance in future
 climate, based on relationships that are largely determined by
 environmental variation over space. 4. Our methods estimate the effect of
 temporal changes in weather, whilst accounting for spatial effects of
 long-term climate, improving inference on overall and/or localised effects
 of climate change. With increasing availability of large-scale data sets,
 need is growing for appropriate analytical tools. The proposed
 decomposition of the weather variables represents an important advance by
 eliminating the confounding issue often inherent in large-scale data sets.
description: zip folder with
 datagam data for all five
 species, distance data, elevation, landclass and weather data as well as R
 codeOedekoven et. al data for
 MEE-17-02-096.R1.zip
DOI: 10.17632/g2wymb875b
title: Data for Léger et al., 2026. Mitochondrion

description: All data use in the paper Léger et al., (2026) published in the journal Mitochondrion
DOI: 10.17632/g2wymb875b.1
title: Data for Léger et al., 2026. Mitochondrion

description: All data use in the paper Léger et al., (2026) published in the journal Mitochondrion
DOI: 10.5061/dryad.6nj94
title: Data from: Wind conditions and geography shape the first outbound migration of juvenile honey buzzards and their distribution across sub-Saharan Africa

description: Contemporary tracking studies reveal that low migratory connectivity
 between breeding and non-breeding ranges is common in migrant landbirds.
 It is unclear, however, how internal factors and early-life experiences of
 individual migrants shape the development of their migration routes and
 concomitant population-level non-breeding distributions. Stochastic wind
 conditions and geography may determine whether and where migrants end up
 by the end of their journey. We tested this hypothesis by
 satellite-tagging 31 fledgling honey buzzards Pernis apivorus from
 southern Finland and used a global atmospheric reanalysis model to
 estimate the wind conditions they encountered on their first outbound
 migration. Migration routes diverged rapidly upon departure and the birds
 eventually spread out across 3340 km of longitude. Using linear regression
 models, we show that the birds' longitudinal speeds were strongly
 affected by zonal wind speed, and negatively affected by latitudinal wind,
 with significant but minor differences between individuals. Eventually,
 49% of variability in the birds' total longitudinal displacements was
 accounted for by wind conditions on migration. Some birds circumvented the
 Baltic Sea via Scandinavia or engaged in unusual downwind movements over
 the Mediterranean, which also affected the longitude at which these
 individuals arrived in sub-Saharan Africa. To understand why adult
 migrants use the migration routes and non-breeding sites they use, we must
 take into account the way in which wind conditions moulded their very
 first journeys. Our results present some of the first evidence into the
 mechanisms through which low migratory connectivity emerges.
description: Migration routes of
 juvenile honey buzzards annotated with wind estimates at
 925mbThis dataset was
 processed from the raw tracking data as described in Vansteelant et al.
 (2017).Vansteelant-etal-ProcRSocB-fin.csvScript for producing maps and analyses in R - PART 1Vansteelant-etal-ProcRSocB.RScript for producing maps and analyses in R - PART 2Vansteelant-etal-ProcRSocB-p2.RScript for producing maps and analyses in R - PART 3Vansteelant-etal-ProcRSocB-p3.R
DOI: 10.5061/dryad.76kt8
title: Data from: Constraints on trait combinations explain climatic drivers of biodiversity: the importance of trait covariance in community assembly

description: Trade-offs maintain diversity and structure communities along
 environmental gradients. Theory indicates that if covariance among
 functional traits sets a limit on the number of viable trait combinations
 in a given environment, then communities with strong multidimensional
 trait constraints should exhibit low species diversity. We tested this
 prediction in winter annual plant assemblages along an aridity gradient
 using multilevel structural equation modelling. Univariate and
 multivariate functional diversity measures were poorly explained by
 aridity, and were surprisingly poor predictors of community richness. By
 contrast, the covariance between maximum height and seed mass strengthened
 along the aridity gradient, and was strongly associated with richness
 declines. Community richness had a positive effect on local neighbourhood
 richness, indicating that climate effects on trait covariance indirectly
 influence diversity at local scales. We present clear empirical evidence
 that declines in species richness along gradients of environmental stress
 can be due to increasing constraints on multidimensional phenotypes.
description: quadrat.scale.dataRefer to R script ("Dwyer_&_Laughlin_2017_Trait_covariance_script.r" for information about this dataframe.species.in.quadrat.scale.dataRefer to R script ("Dwyer_&_Laughlin_2017_Trait_covariance_script.r" for information about this dataframe.Dwyer_&_Laughlin_2017_Trait_covariance_scriptThis script reads in the two dataframes of "raw" data, calculates diversity and trait metrics and runs the major analyses presented in Dwyer & Laughlin 2017.
DOI: 10.17632/nrmsbph8yb
title: Dried Fish production and Marketing in Odisha State of India

description: The data set contains the different socio-economic characteristics that drives training participation among the traditional dried fish producers. It includes the role played by prior training exposure in adoption of hygienic fish drying that offers better marketing scope to the producers. along with reduction in wastage of fish.
DOI: 10.5061/dryad.1jq96
title: Data from: Multiple independent colonizations into the Congo Basin during the continental radiation of African Mastacembelus spiny eels

description: Aim: There has been recent interest in the origin and assembly of
 continental biotas based on densely sampled species-level clades, however,
 studies from African freshwaters are few so that the commonality of
 macroevolutionary patterns and processes among continental clades remain
 to be tested. Within the Afrotropics, the Congo Basin contains the highest
 diversity of riverine fishes, yet it is unclear how this fauna was
 assembled. To address this, and the diversification dynamics of a
 continental radiation, we focus on African Mastacembelus spiny eels.
 Location: Afrotropical freshwaters. Methods: The most complete molecular
 phylogeny to date was reconstructed for African spiny eels. Divergence
 times were estimated applying a Bayesian relaxed clock comparing fossil
 and geological calibrations across nuclear and mitochondrial trees.
 Biogeographic reconstructions, applying a
 dispersal–extinction–cladogenesis model and lineage diversification
 dynamics were examined. Results: Spiny eels originated in Asia and
 colonized Africa c. 15.4 Ma (95% HPD: 23.9–8.8 Ma) from which their
 subsequent radiation across the Afrotropics was best fitted by a constant
 rate model. Ancestral state estimation identified multiple colonization
 events into the Congo Basin, whereas all other regions were likely to have
 been colonized once indicating considerable geographic constraints.
 Application of the fossil calibration gave similar age estimates across
 datasets, whereas a geological calibration estimated considerably older
 nuclear divergences. Main conclusions: Despite profound environmental
 events during the evolutionary history of the group, there is no evidence
 for rapid lineage diversification. This finding supports several recent
 studies on tropical continental radiations that contrast to the common
 pattern of density-dependent diversification. We further show that
 dispersal has occurred into, as well as out of the Congo Basin, indicating
 the importance of this region in the generation of biodiversity.
description: Concatenated nuclear
 data matrixntax=182 includes S7 =
 1-1179; ENC1 = 1180-2015; RAG1 = 2016-3475.nuclear_data.nexConcatenated mitochondrial data matrixntax=259 includes Cytb = 1-1134; CO1 = 1135-1822.mitochondrial_data.nexBEAST nuclear data matrixMatrix used for BEAST analysesnuclear_BEAST.nexBEAST nuDNA treeDated tree used for downstream diversification and biogeographic analysesBEAST.newick
DOI: 10.17632/nrmsbph8yb.1
title: Dried Fish production and Marketing in Odisha State of India

description: The data set contains the different socio-economic characteristics that drives training participation among the traditional dried fish producers. It includes the role played by prior training exposure in adoption of hygienic fish drying that offers better marketing scope to the producers. along with reduction in wastage of fish.
DOI: 10.5061/dryad.2d4t3
title: Data from: Nitrogen-fixing tree abundance in higher-latitude North America is not constrained by diversity

description: The rarity of nitrogen (N)-fixing trees in frequently N-limited
 higher-latitude (here, &gt; 35°) forests is a central biogeochemical
 paradox. One hypothesis for their rarity is that evolutionary constraints
 limit N-fixing tree diversity, preventing N-fixing species from filling
 available niches in higher-latitude forests. Here, we test this hypothesis
 using data from the USA and Mexico. N-fixing trees comprise only a
 slightly smaller fraction of taxa at higher vs. lower latitudes (8% vs.
 11% of genera), despite 11-fold lower abundance (1.2% vs. 12.7% of basal
 area). Furthermore, N-fixing trees are abundant but belong to few species
 on tropical islands, suggesting that low absolute diversity does not limit
 their abundance. Rhizobial taxa dominate N-fixing tree richness at lower
 latitudes, whereas actinorhizal species do at higher latitudes. Our
 results suggest that low diversity does not explain N-fixing trees'
 rarity in higher-latitude forests. Therefore, N limitation in
 higher-latitude forests likely results from ecological constraints on N
 fixation.
description: Menge_etal_ELE_00062_2017_DataThis is the R data file that contains the data and objects used for Menge et al. 2017 ELE.Menge_etal_ELE_00062_2017_FigsThis is the R script that opens the data file and makes the figures.
DOI: 10.5061/dryad.13m7r
title: Data from: Mitochondrial phylogenomics of Hemiptera reveals adaptive innovations driving the diversification of true bugs

description: Hemiptera, the largest non-holometabolous order of insects, represents ~7%
 of metazoan diversity. With extraordinary life histories and highly
 specialized morphological adaptations, hemipterans have exploited diverse
 habitats and food sources through ~300 million years of evolution. To
 elucidate the phylogeny and evolutionary history of Hemiptera, we carried
 out the most comprehensive mitogenomics analysis on the richest taxon
 sampling to date covering all the suborders and infraorders, including 34
 newly sequenced and 94 published mitogenomes. With optimized branch length
 and sequence heterogeneity, Bayesian analyses using a site-heterogeneous
 mixture model resolved the higher-level hemipteran phylogeny as:
 (Sternorrhyncha, (Auchenorrhyncha, (Coleorrhyncha, Heteroptera))).
 Ancestral character state reconstruction and divergence time estimation
 suggest that the success of true bugs (Heteroptera) is unlikely due to
 angiosperm coevolution, but rather key adaptive innovations (e.g.,
 prognathous mouthpart, predatory behavior and hemelytron) facilitating
 multiple independent shifts among diverse feeding habits and multiple
 independent colonizations of aquatic habitats.
description: 134_taxa_PCGRNA134_taxa_PCGRNA dataset for PhyloBayes analysis134_taxa_PCG12RNA134_taxa_PCGRNA dataset for PhyloBayes analysis134_taxa_AA134_taxa_AA dataset for PhyloBayes analysis117_taxa_PCGRNAPCGRNA dataset with the removal of 17 species according to the branch length and the heterogeneity in sequence divergence117_taxa_PCG12RNAPCG12RNA dataset with the removal of 17 species according to the branch length and the heterogeneity in sequence divergence
DOI: 10.5061/dryad.c8f7r
title: Data from: The shrimp superfamily Sergestoidea: a global phylogeny with definition of new families and an assessment of the pathways into principal biotopes

description: The phylogenetic analysis of Sergestoidea based on 253 morphological
 characters and encompassing all 99 valid species confirmed all previously
 recognized genus-level clades. Analysis retrieved five major robust clades
 that correspond to families Luciferidae, Sergestidae, Acetidae fam.n.,
 Sicyonellidae fam.n. and Petalidiumidae fam.n. Synonymy, emended diagnoses
 and composition of revealed family-level clades are provided. Three types
 of morphological characters were important in the phylogeny of the
 Sergestoidea: general external characters, copulatory organs, and
 photophores. Novel metrics to quantify the contribution of these character
 types were tested. General external characters were significant in
 supporting the major clades (80% of the families and nearly half of the
 genera). Copulatory organ characters and photophores greatly supported the
 medium-level clades: Lucifer, Belzebub, Petalidium, Neosergestes,
 Challengerosergia (copulatory organ characters) and Lucensosergia,
 Challengerosergia, Gardinerosergia, Phorcosergia (photophores). An
 evolutionary model of the Sergestoidea showing their pathways into their
 principal biotopes is proposed: the major clades evolved in a vertical
 direction (from epi- to bathypelagic); further divergence at the genus
 level occurred within vertical zones in a horizontal direction, with the
 invasion of the benthopelagic and neritic (shelf and estuarine) habitats
 and speciation within these domains.
description: Appendix
 1Appendix
 2Appendix
 3Appendix
 4Appendix
 5Appendix
 6Appendix
 7Appendix
 8
DOI: 10.5061/dryad.fq4h3
title: Data from: Both temperature fluctuations and East Asian monsoons have driven plant diversification in the karst ecosystems from southern China

description: Karst ecosystems in southern China are species-rich and have high levels
 of endemism, yet little is known regarding the evolutionary processes
 responsible for the origin and diversification of karst biodiversity. The
 genus Primulina (Gesneriaceae) comprises ca. 170 species endemic to
 southern China with high levels of ecological (edaphic) specialization,
 providing an exceptional model to study the plant diversification in
 karsts. We used molecular data from nine chloroplast and 11 nuclear
 regions and macroevolutionary analyses to assess the origin and cause of
 species diversification due to paleoenvironmental changes and edaphic
 specialization in Primulina. We found that speciation was positively
 associated with changes in past temperatures and East Asian monsoons
 through the evolutionary history of Primulina. Climatic change around the
 mid-Miocene triggered an early burst followed by a slowdown of
 diversification rate towards the present with the climate cooling. We
 detected different speciation rates among edaphic types, and transitions
 among soil types were infrequently and did not impact the overall
 speciation rate. Our findings suggest that both global temperature changes
 and East Asian monsoons have played crucial roles in floristic
 diversification within the karst ecosystems in southern China, such that
 speciation was higher when climate was warmer and wetter. This is the
 first study to directly demonstrate that past monsoon activity is
 positively correlated with speciation rate in East Asia. This case study
 could motivate further investigations to assess the impacts of past
 environmental changes on the origin and diversification of biodiversity in
 global karst ecosystems, most of which are under threat.
description: 9cp+11nr_201_METhe matrix used for phylogeny reconstrcutionCenozoicTemperature from 65 MaCenozoicTemperature.txtAsian Monsoons from 17 Mamonsoon_South China Sea data from 17 Ma.xlsxScript for generating the tree by clade matrix