cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.6837p85
title: Data from: Examining the role of parasites in limiting unidirectional gene flow between lake and river sticklebacks

description: 1. Parasites are important selective agents with the potential to limit
 gene flow between host populations by shaping local host immunocompetence.
 2. We report on a contact zone between lake and river three-spined
 sticklebacks (Gasterosteus aculeatus) that offers the ideal biogeographic
 setting to explore the role of parasite-mediated selection on reproductive
 isolation. A waterfall acts as a natural barrier and enforces
 unidirectional migration from the upstream river stickleback population to
 the downstream river and lake populations. 3. We assessed population
 genetic structure and parasite communities over four years. In a set of
 controlled experimental infections, we compared parasite susceptibility of
 upstream and downstream fish by exposing laboratory-bred upstream river
 and lake fish, as well as hybrids, to two common lake parasite species: a
 generalist trematode parasite, Diplostomum pseudospathaceum and a
 host-specific cestode, Schistocephalus solidus. 4. We found consistent
 genetic differentiation between upstream and downstream populations across
 four sampling years, even though the downstream river consisted of ~10%
 first-generation migrants from the upstream population as detected by
 parentage analysis. Fish in the upstream population had lower genetic
 diversity and were strikingly devoid of macroparasites. Through
 experimental infections, we demonstrated that upstream fish and their
 hybrids had higher susceptibility to parasite infections than downstream
 fish. Despite this, naturally-sampled upstream migrants were less infected
 than downstream residents. Thus, migrants coming from a parasite-free
 environment may enjoy an initial fitness advantage, but their descendants
 seem likely to suffer from higher parasite loads. 5. Our results suggest
 that adaptation to distinct parasite communities can influence stickleback
 invasion success and may represent a barrier to gene flow, even between
 close and connected populations.
description: Field survey
 dataDissection and genetic
 data from field surveys of three-spined stickleback (Gasterosteus
 aculeatus) populations of lake Skogseidvatnet and river Orraelva in
 Western Norway.Erin_etal_2019_FieldSurvey.zipExperimental infection data (Diplostomum)Dissection data from experimental infection with trematode Diplostomum pseudospathaceum of lab-bred three-spined stickleback (Gasterosteus aculeatus) from populations of lake Skogseidvatnet and river Orraelva in Western Norway, and lake Großer Plöner See in Northern Germany.Erin_etal_2019_Diplo.zipExperimental infection data (Schistocephalus)Dissection data from experimental infection with cestode Schistocephalus solidus of lab-bred three-spined stickleback (Gasterosteus aculeatus) from populations of lake Skogseidvatnet and river Orraelva in western Norway.Erin_etal_2019_Schisto.zip
DOI: 10.5061/dryad.s374m76
title: Data from: Tracing back the origin of pumpkins (Cucurbita pepo ssp. pepo L.) in Mexico

description: Cucurbita pepo is an economically important crop, which consists of
 cultivated C. pepo ssp. pepo, and two wild taxa (C. pepo ssp. fraterna and
 C. pepo ssp. ovifera). We aimed at understanding the domestication and the
 diversity of C. pepo in Mexico. We used two chloroplast regions and nine
 nuclear microsatellite loci to assess levels of genetic variation and
 structure for C. pepo ssp. pepo’s landraces sampled in 13 locations in
 Mexico, five improved varieties, one C. pepo ssp. fraterna population and
 ornamental C. pepo ssp. ovifera. We tested four hypotheses regarding the
 origin of C. pepo ssp. pepo’s ancestor through Approximate Bayesian
 Computation: C. pepo ssp. ovifera as the ancestor; C. pepo ssp. fraterna
 as the ancestor; an unknown extinct lineage as the ancestor; and C. pepo
 ssp. pepo as hybrid from C. pepo ssp. ovifera and C. pepo ssp. fraterna
 ancestors. C. pepo ssp. pepo showed high genetic variation and low genetic
 differentiation. C. pepo ssp. fraterna and C. pepo ssp. pepo shared two
 chloroplast haplotypes. The three subspecies were well-differentiated for
 microsatellite loci. C. pepo ssp. fraterna was probably C. pepo ssp.
 pepo’s wild ancestor, but subsequent hybridization between taxa complicate
 defining C. pepo ssp. pepo’s ancestor.
description: Supplementary_file_S1Data for nine nuclear microsatellite loci in Genepop format
DOI: 10.3886/e244240
title: Implementation of court-ordered cigarette “corrective statements” displayed in a regional sample of US tobacco retailers, 2024-2025

description: Following a historic 2006 U.S. Federal Court ruling, major cigarette manufacturers were mandated to display corrective statement signs about smoking harms at the point-of-sale in about 200,000 tobacco retailers nationwide from October 2023 to June 2025. This study conducted store assessments in a sample of affected tobacco retailers in New York City (NYC) and New Jersey (NJ), documenting signage display and other implementation features, and whether these differed by store type and community characteristics.
DOI: 10.3886/e244240v1
title: Implementation of court-ordered cigarette “corrective statements” displayed in a regional sample of US tobacco retailers, 2024-2025

description: Following a historic 2006 U.S. Federal Court ruling, major cigarette manufacturers were mandated to display corrective statement signs about smoking harms at the point-of-sale in about 200,000 tobacco retailers nationwide from October 2023 to June 2025. This study conducted store assessments in a sample of affected tobacco retailers in New York City (NYC) and New Jersey (NJ), documenting signage display and other implementation features, and whether these differed by store type and community characteristics.
DOI: 10.15468/dl.mgcvyb
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Macrosaccus morrisella",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 69 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001836-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.q7s60q9
title: Data from: Seasonal dynamics and co-occurrence patterns of honey bee pathogens revealed by high-throughput RT-qPCR analysis

description: The health of the honey bee Apis mellifera is challenged by introduced
 parasites that interact with its inherent pathogens and cause elevated
 rates of colony losses. To elucidate co-occurrence, population dynamics
 and synergistic interactions of honey bee pathogens, we established an
 array of diagnostic assays for a high-throughput qPCR platform. Assuming
 that interaction of pathogens requires co-occurrence within the same
 individual, single worker bees were analyzed instead of collective
 samples. Eleven viruses, four parasites and three pathogenic bacteria were
 quantified in more than one thousand single bees sampled from sixteen
 disease-free apiaries in Southwest Germany. The most abundant viruses were
 Black Queen Cell Virus (84%), Lake Sinai Virus 1 (42%), and Deformed Wing
 Virus B (35%). Forager bees from asymptomatic colonies were infected with
 two different viruses in average, and simultaneous infection with four to
 six viruses was common (14%). Also the intestinal parasites Nosema ceranae
 (96%) and Crithidia mellificae/Lotmaria passim (52%) occurred very
 frequently. These results indicate that low-level infections in honey bees
 are more common than previously assumed. All viruses showed seasonal
 variation, while N. ceranae did not. The foulbrood bacteria Paenibacillus
 larvae and Melissococcus plutonius were regionally distributed. Spearman’s
 correlations and multiple regression analysis indicated possible
 synergistic interactions between the common pathogens, particularly for
 Black Queen Cell Virus. Beyond its suitability for further studies on
 honey bees, this targeted approach may be, due to its precision, capacity
 and flexibility, a viable alternative to more expensive, sequencing-based
 approaches in non-model systems.
description: DAlvise_pathogens_Cq-valuesPathogen detection by quantitative PCR: Cq-values of all samples and assays
DOI: 10.15468/dl.2xh4qz
title: Occurrence Download

description: A dataset containing 282 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Aedeomyia squamipennis",
 "Year is greater than or equal to 1980"
 ]
}

 The dataset includes 282 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001837-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.8f57ck3
title: Data from: Sequential infection can decrease virulence in a fish-bacterium-fluke interaction: implications for aquaculture disease management

description: Hosts are typically infected with multiple strains or genotypes of one or
 several parasite species. These infections can take place simultaneously,
 but also at different times, i.e. sequentially, when one of the parasites
 establishes first. Sequential parasite dynamics are common in nature, but
 also in intensive farming units such as aquaculture. However, knowledge of
 effects of previous exposures on virulence of current infections in
 intensive farming is very limited. This is critical as consecutive
 epidemics and infection history of a host could underlie failures in
 management practises and medical intervention of diseases. Here, we
 explored effects of timing of multiple infection on virulence in two
 common aquaculture parasites, the bacterium Flavobacterium columnare and
 the fluke Diplostomum pseudospathaceum. We exposed fish hosts first to
 flukes and then to bacteria in two separate experiments, altering timing
 between the infections from few hours to several weeks. We found that both
 short-term and long-term difference in timing of the two infections
 resulted in significant, genotype-specific decrease in bacterial
 virulence. Second, we developed a mathematical model, parameterized from
 our experimental results, to predict the implications of sequential
 infections for epidemiological progression of the disease, and levels of
 fish population suppression, in an aquaculture setting. Predictions of the
 model showed that sequential exposure of hosts can decrease the
 population-level impact of the bacterial epidemic, primarily through the
 increased recovery rate of sequentially infected hosts, thereby
 substantially protecting the population from the detrimental impact of
 infection. However, these effects depended on bacterial strain – fluke
 genotype combinations, suggesting the genetic composition of the parasite
 populations can greatly influence the degree of host suppression. Overall,
 these results suggest that host infection history can have significant
 consequences for the impact of infection at host population level,
 potentially shaping parasite epidemiology, disease dynamics and evolution
 of virulence in farming environments.
description: Karvonen et al.
 Evolutionary Applications Data
DOI: 10.5061/dryad.nq8hg19
title: Data from: Environmental factors explain the spatial mismatches between species richness and phylogenetic diversity of terrestrial mammals

description: Aim: Explore the spatial variation of the relationships between species
 richness (SR), phylogenetic diversity (PD) and environmental factors to
 infer the possible mechanisms underlying patterns of diversity in
 different regions of the globe. Location: Global. Time period: Present
 day. Major taxa studied: Terrestrial mammals. Methods: We used a hexagonal
 grid to map SR and PD of mammals and four environmental factors
 (temperature, productivity, elevation and climate-change velocity since
 the Last Glacial Maximum). We related those variables through direct and
 indirect pathways using a novel combination of Path Analysis and
 Geographically Weighted Regression to account for spatial non-stationarity
 of path coefficients. Results: SR, PD and environmental factors relate
 differently across the geographic space, with most relationships varying
 in both, magnitude and direction. Species richness is associated with
 lower phylogenetic diversity in much of the tropics and in the Americas,
 which reflects the tropical origin and the recent diversification of some
 mammalian clades in these regions. Environmental effects on PD are
 predominantly mediated by their effects on SR. But once richness is
 controlled for, the relationships between environmental factors and PD
 (i.e. PDSR) highlight environmentally driven changes in species
 composition. Environmental-PDSR relationships suggest that the relative
 importance of different mechanisms driving biodiversity shifts spatially.
 Across most of the globe, temperature and productivity are the strongest
 predictors of richness, while PDSR is best predicted by temperature. Main
 conclusions: Richness explains most spatial variation in PD, but both
 dimensions of biodiversity respond differently to environmental conditions
 across the globe, as indicated by the spatial mismatches in the
 relationships between environmental factors and these two types of
 diversity. We show that accounting for spatial non-stationarity and
 environmental effects on PD while controlling for richness uncovers a more
 complex scenario of drivers of biodiversity than previously observed.
description: GWPath_Barreto_et_al_2019R code to perform Geographically Weighted Path AnalysisHexagonal global grid with the full datasetA shapefile of the global hexagonal grid containing all the variables used in the publication and the results from the Geographically Weighted Path Analysis. The variables include mean temperature, mean actual evapotranspiration (AET), climate-change velocity since de Last Glacial Maximum, mean elevation and species richness and phylogenetic diversity of terrestrial mammals. The original source from where these variables were obtained can be find in the full text of the publication.Barreto_et_al_2019_SR_PD_mammals_GEB_full_data.zip
DOI: 10.5061/dryad.dg35t5v
title: Data from: Insect brain plasticity: effects of olfactory input on neuropil size

description: Insect brains are known to express a high degree of experience-dependent
 structural plasticity. One brain structure in particular, the mushroom
 body, has been attended to in numerous studies as it is implicated in
 complex cognitive processes such as olfactory learning and memory. It is,
 however, poorly understood to what extent sensory input per se affects
 plasticity of the mushroom bodies. By performing unilateral blocking of
 olfactory input on immobilized butterflies, we were able to measure the
 effect of passive sensory input on the volumes of antennal lobes and
 mushroom body calyces. We showed that the primary and secondary olfactory
 neuropils respond in different ways to olfactory input. Antennal lobes
 show absolute experience-dependency and increase in volume only if
 receiving direct olfactory input from ipsilateral antennae, while mushroom
 body calyx volumes were unaffected by the treatment and instead show
 absolute age-dependency in this regard. We therefore propose that
 cognitive processes related to behavioural expressions are needed in order
 for the calyx to show experience-dependent volumetric expansions. Our
 results indicate that such experience-dependent volumetric expansions of
 calyces observed in other studies may have been caused by cognitive
 processes rather than by sensory input, bringing some causative clarity to
 a complex neural phenomenon.
description: Eriksson et al RSOS 2
 DataVolumetric data for
 brain structures
DOI: 10.5061/dryad.nk3b5k8
title: Data from: Distribution modelling of vegetation types based on area‐frame survey data

description: Aim: Many countries lack informative and high‐resolution, wall‐to‐wall
 vegetation or land‐cover maps. Such maps are useful for land‐use and
 nature management, and for input to regional climate and hydrological
 models. Land‐cover maps based on remote sensing data typically lack the
 required ecological information, whereas traditional field‐based mapping
 is too expensive to be carried out over large areas. In this study, we
 therefore explore the extent to which distribution modelling (DM) methods
 are useful for predicting the current distribution of vegetation types
 (VT) on a national scale. Location: mainland Norway, covering ca. 324 000
 km2. Methods: We used presence‐absence data for 31 different VTs, mapped
 wall‐to‐wall in an area‐frame survey with 1081 rectangular plots of 0.9
 km2. Distribution models for each VT were obtained by logistic generalised
 linear modelling, using stepwise forward selection with an F‐ratio test. A
 total of 117 explanatory variables, recorded in 100×100‐m grid cells, were
 used. The 31 models were evaluated by applying the AUC criterion to
 independent evaluation dataset. Results: Twenty‐one of the 31 models had
 AUC values higher than 0.8. The highest AUC value (0.989) was obtained for
 Poor/rich broadleaf deciduous forest, whereas the lowest AUC (0.671) was
 obtained for Lichen and heather spruce forest. Overall, we found that,
 rare VTs are better predicted than common ones, and coastal VTs are better
 predicted than inland ones. Conclusions: Our study establishes DM as a
 viable tool for spatial prediction of aggregated species‐based entities
 such as VTs on a regional scale and at a fine (100 m) spatial resolution,
 provided relevant predictor variables are available. We discuss the
 potential uses of distribution models in utilizing large‐scale
 international vegetation surveys. We also argue that predictions from such
 models may improve parameterisation of vegetation distribution in earth
 system models.
description: 00_README_DRYAD1ab_predict_GLM2a_predict_GLM1c_predict_GLM2c_predict_GLM2b_predict_GLM2d_predict_GLM2ef_predict_GLM2g_predict_GLM3ab_predict_GLM4b_predict_GLM4a_predict_GLM4c_predict_GLM4g_predict_GLM4e_predict_GLM5ab_predict_GLM7a_predict_GLM6b_predict_GLM6a_predict_GLM7b_predict_GLM8b_predict_GLM7c_predict_GLM8a_predict_GLM8cd_predict_GLM9ad_predict_GLM9e_predict_GLM8b_predict_GLM10ab_predict_GLM10c_predict_GLM9bc_predict_GLM11b_predict_GLM12c_predict_GLM12b_predict_GLM
DOI: 10.5281/zenodo.18387766
title: ASGRI aptamer libraries
DOI: 10.5281/zenodo.18387767
title: ASGRI aptamer libraries
DOI: 10.15468/dl.4rcnnu
title: Occurrence Download

description: A dataset containing 8056 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bryophyta, Marchantiophyta, Anthocerotophyta)",
 "BasisOfRecord is Specimen",
 "Country is Brazil",
 "CollectionCode is PACA-BRYOPHYTES"
 ]
}

 The dataset includes 8056 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001838-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.q50dc8d
title: Data from: Known and estimated distribution in Mexico of Batrachochytrium dendrobatidis, a pathogenic fungus of amphibians

description: Chytridiomycosis caused by fungus Batrachochytrium dendrobatidis (Bd) is
 one of decline global causes of amphibians. Currently is distributed
 throughout a broad range of climates and ecosystems around the world. An
 epidemic wave of chytridiomycosis began in North America, resulting in
 population decline and local extinction of many species, reconfiguring
 species composition of amphibian communities in the Americas. In Mexico,
 Bd has caused an amphibian population decrease, and its potential
 distribution area has not been determined. We reviewed the number of
 species infected, obtaining Bd frequency of infection by land use and
 vegetation type, and by elevation range. We examined the known
 distribution of Bd, estimated the potential distribution, and obtained the
 bioclimate variables relevant for Bd. Our results indicate that in Mexico,
 Bd has been detected in 78 species of amphibians in 10 families, from 29
 different land use and vegetation types, with cloud forest having the
 highest number of cases (139) and infected species (15). Bd occurs over an
 elevation range of 1–3,300 m asl, and is most frequent at 1,200–1,500 m
 asl (36%). In addition to the regions previously described as suitable for
 Bd, our model included desert, coastal and tropical forest regions,
 revealing an increase in the area where amphibians could be at risk of
 infection. Distribution of Bd is mainly associated with temperature of the
 wettest quarter and potential evapotranspiration of the warmer quarter. We
 offer an estimate of the ideal conditions for Bd in Mexico, also
 information for future studies on Bd and the conservation of amphibians.
description: Bd_México-Bolom et
 al.
DOI: 10.15468/dl.3m5w3n
title: Occurrence Download

description: A dataset containing 18536 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Marine invasive species: Eilat, Gulf of Aqaba, Red Sea"
 ]
}

 The dataset includes 18536 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001839-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.