cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.2bvq83bq9
title: Data for: Rapid shifts in Arctic tundra species’ distributions and inter-specific range overlap under future climate change

description: Aim: The Arctic is one of the planet’s most rapidly warming regions, with
 trends expected to intensify in the future. Projections of shifts in
 species distributional ranges under future climate change are thus far
 lacking for most vertebrate species using the Arctic tundra. Our aim was
 to assess possible climate-induced changes in distributional ranges and
 inter-specific overlap of an Arctic species assemblage within the world’s
 largest land-based protected area. Location: During 1979-2013 location
 data of eight Arctic birds and mammals: Arctic fox (Vulpes lagopus),
 Arctic hare (Lepus arcticus), Arctic wolf (Canis lupus arctos), muskox
 (Ovibos moschatus), polar bear (Ursus maritimus), rock ptarmigan (Lagopus
 muta), snow bunting (Plectrophenax nivalis), and snowy owl (Bubo
 scandiacus) were collected in the Northeast Greenland National Park.
 Methods: The maximum entropy (MaxEnt) algorithm and Schoener’s D niche
 overlap index were used to assess shifts and changes in overlap of
 species-specific distributions under recent (1979-2013) and future
 (2061-2080; representative concentration pathways [RCPs] 2.6, 4.5 and 8.5)
 bioclimatic conditions. Results: Species distributions were projected to
 shift northward and upwards across all scenarios, and at higher rates than
 previously reported. Future distributions were also forecasted to become
 spatially less clustered and to expand in size for all species.
 Species-specific shifts in distribution ranges altered inter-specific
 overlap, most notably by an increase in overlap under scenario RCP 8.5.
 Main conclusions: The rapid shifts in distribution ranges detected here
 underline that climate change impacts are most pronounced in areas with
 higher levels of warming, leading to accelerated shifts in species’ ranges
 towards the poles. However, the concomitant range expansions we found may
 suggest that future climatic conditions in north-east Greenland may not
 have such a detrimental impact on the distribution of cold-adapted species
 as generally expected, at least in the near future.
description: Location data of 8 Arctic vertebrate species were collected in
 the
 Northeast Greenland National Park during reconnaissance trips
 by the Sirius Dog Sled Patrol between
 1979-2013. Location data were analysed using the maximum
 entropy (MaxEnt) algorithm to assess
 shifts and changes in overlap of species-specific distributions under
 recent (1979-2013) and future (2061-2080; representative
 concentration pathways [RCPs] 2.6, 4.5 and 8.5)
 bioclimatic conditions.
description: Please refer to the ReadMe file for details on the code and
 datasets uploaded.
DOI: 10.5061/dryad.2280gb5rz
title: Stabilized morphological evolution of spiders despite mosaic changes in foraging ecology

description: A prominent question in animal research is how the evolution of morphology
 and ecology interact in the generation of phenotypic diversity. Spiders
 are some of the most abundant arthropod predators in terrestrial
 ecosystems and exhibit a diversity of foraging styles. It remains unclear
 how spider body size and proportions relate to foraging style, and if the
 use of webs as prey capture devices correlates with changes in body
 characteristics. Here we present the most extensive dataset to date of
 morphometric and ecological traits in spiders. We used this dataset to
 estimate the change in spider body sizes and shapes over deep time and to
 test if and how spider phenotypes are correlated with their behavioural
 ecology. We found that phylogenetic variation of most traits best fitted
 an Ornstein-Uhlenbeck model, which is a model of stabilizing selection. A
 prominent exception was body length, whose evolutionary dynamics were best
 explained with a Brownian Motion (free trait diffusion) model. This was
 most expressed in the araneoid clade (ecribellate orb-weaving spiders and
 allies) that showed bimodal trends towards either miniaturization or
 gigantism. Only few traits differed significantly between ecological
 guilds, most prominently leg length and thickness, and although a
 multivariate framework found general differences in traits among
 ecological guilds, it was not possible to unequivocally associate a set of
 morphometric traits with the relative ecological mode. Long, thin legs
 have often evolved with aerial webs and a hanging (suspended) locomotion
 style, but this trend is not general. Eye size and fang length did not
 differ between ecological guilds, rejecting the hypothesis that webs
 reduce the need for visual cue recognition and prey immobilization. For
 the inference of the ecology of species with unknown behaviours, we
 propose not to use morphometric traits, but rather consult
 (micro-)morphological characters, such as the presence of certain podal
 structures. These results suggest that, in contrast to insects, the
 evolution of body proportions in spiders is unusually stabilized, and
 ecological adaptations are dominantly realized by behavioural traits and
 extended phenotypes in this group of predators. This work demonstrates the
 power of combining recent advances in phylogenomics with trait-based
 approaches to better understand global functional diversity patterns
 through space and time.
DOI: 10.5061/dryad.f4qrfj6w1
title: Emergence of kinship structures and descent systems: multi-level evolutionary simulation and empirical data analyses

description: In clan societies, people are categorised into several cultural groups,
 so-called clans, within which they believe to share common ancestors. Clan
 attributions provide certain rules for marriage and descent.
 Anthropologists have revealed several kinship structures and their
 corresponding cultural characteristics, following such rules. We
 previously introduced an agent-based model of kinship structures. Here, we
 propose a simplified model in which competing societies evolve. The
 societies themselves comprise multiple evolving families with parameters
 for cultural traits and mate preferences. These values determine with whom
 each family cooperates and competes, and they mutate when transmitted to a
 new generation. The growth rate of each family is determined by the number
 of cooperators and competitors. Through this multi-level evolution, family
 traits and preferences diversify to form clusters that possess the
 properties of clans. Subsequently, kinship structures emerge, including
 dual organisation and generalised or restricted exchange, as well as
 patrilineal, matrilineal, and double descent systems. These structures
 depend on the necessity of cooperation and the strength of mating
 competition, which are also estimated analytically. Finally, statistical
 analysis based on the Standard Cross-Cultural Sample, a global
 ethnographic database, empirically verify theoretical results. Such
 collaboration between theoretical and empirical approaches will unveil
 universal features in anthropology.
DOI: 10.5061/dryad.s4mw6m96f
title: Understanding the local drivers of beta-diversity patterns under climate change: The case of seaweed communities in Galicia, North West of the Iberian Peninsula

description: Aim: To understand spatial-temporal changes (beta-diversity) in coastal
 communities and their drivers in the context of climate change. Coastal
 ecosystems are extremely exposed and dynamic, where changes in seaweed
 assemblages have been associated with changing water temperatures.
 However, at the local scale, the effects of changes in the upwelling
 events and related stressors seek further exploration. Location: Galicia
 rías, North West of the Iberian Peninsula Methods: Using data collected in
 42 sampling localities in Galicia rias and over two time periods (1998 and
 2014), we analyzed changes in the seaweed community’s composition through
 time and space. We calculated the temporal beta diversity index and
 spatial beta diversity as the pairwise composition differences between
 sampling localities. We use generalized dissimilarity models, to identify
 local environmental drivers of spatial and temporal beta-diversity.
 Results: We found a significant change in seaweed communities of Galicia
 rias, between 1998 and 2014 (temporal beta-diversity). They were mostly
 related to species loss rather than to species replacement. The
 dissimilarity among localities (spatial beta diversity) was significantly
 higher in 2014 than 1998. Nitrate concentration was consistently predicted
 as the main driver of both temporal and spatial beta-diversity patterns.
 Main conclusions: Unlike other studies in marine ecosystems, our results
 suggest that observed changes in the structure of perennial seaweed
 assemblages in Galicia Rias might lead to a local biotic heterogenization,
 indirectly linked to climate change through changes in nutrients
 availability and the upwelling intensity. Changes in Galicia seaweed
 communities call scientific attention to the importance of local stressors
 in climate change studies.
description: Presence/absence (0/1) for 39 perennial seaweeds at 42 rocky
 intertidal localities along NW Spain (coded S1-S42). The same set of sites
 was visited in 1998-9 and resurveyed in 2014 with exactly the same
 transect sampling methodology. Seaweeds named with a six-letter code with
 the first three letter of the seaweed’s genus named and the first three
 letters of the seaweeds species name.
DOI: 10.5061/dryad.v15dv41w3
title: Metabolic responses of two pioneer wood decay fungi to diurnally cycling temperature

description: This dataset contains pre-processed untargeted GC-MS metabolomics and
 direct shotgun proteomics from a microcosm woodblock experiment described
 in the paper "Rawlings et al (2021) Metabolic responses of
 two pioneer wood decay fungi to diurnally cycling temperature.
 Ecology." The experiment investigates the effect of diurnal cycling
 of temperature on the metabolism of two wood decay
 species, Mucidula mucida and Exidia glandulosa.
 We colonised beech woodblocks with the two species (separate microcosms)
 and exposed them to either a diurnally cycling (mean 15 ± 10°C) or
 constant (15°C) temperature, in a fully factorial design. After 8 weeks we
 extracted the full complement of metabolites and proteins in the wood to
 examine the extent to which the abundances of metabolic products were
 altered. The main results of the experiment were that products
 linked to lignin breakdown, the citric acid cycle, pentose phosphate
 pathway, carbohydrate metabolism, fatty acid metabolism and protein
 biosynthesis and turnover were under-enriched in fluctuating, compared to
 stable temperatures, in the generalist M. mucida. Conversely E. glandulosa
 showed little differential response to the experimental treatments which
 may be linked with its preference for habitats exhibiting abiotic
 stress. 
description: Data were collected through mass spectrometry after extracting
 all proteins and metabolites from wood block chips. Gas
 chromatography mass spectrometry data were pre-processed using AMDIS for
 peak deconvolution, NIST 2017 and the GOLM Metabolome Database mass
 spectral reference libraries for metabolite identification and
 SpectConnect to produce the data matricies for analysis.
 Liquid chromatography tandem mass spectrometry data were compared
 with the predicted protein databases of <i>E. glandulosa
 HHB12029</i> (Nagy et al., 2016) and <i>M. mucida
 CBS55879</i> (Barrasa, 2014; Ruiz-Dueñas et al., 2020) using
 MaxQuant with integrated Andromeda for database searching. Perseus was
 used to remove irrelevant protein groups and log<sup>2</sup>
 transform LFQ intensity data.
description: Files contain pre-processed data matricies for the experiment,
 produced using the pre-processing steps described above, formatted for
 upload to MetaboAnalyst for quantitative analysis. Files are provided in
 .xlsx format and will need to be converted to .csv prior to upload.
 MetaboAnalyst and tutorials for its use can be accessed
 at https://www.metaboanalyst.ca/home.xhtml
DOI: 10.5061/dryad.7sqv9s4s7
title: Epidemiology of epilepsy in Nigeria: A community-based study from 3 sites

description: Background: We determined the prevalence, incidence, and risk factors for
 epilepsy in Nigeria. Methods: We conducted a door-to-door survey to
 identify cases of epilepsy in three regions. We estimated age-standardized
 prevalence adjusted for non-response and sensitivity and the one-year
 retrospective incidence for active epilepsy. To assess potential risk
 factors, we conducted a case-control study by collecting sociodemographic
 and risk factor data. We estimated odds ratios (ORs) using logistic
 regression analysis and corresponding population attributable fractions
 (PAFs). Results: We screened 42,427 persons (aged ≥ six years), of whom
 254 had confirmed active epilepsy. The pooled prevalence of active
 epilepsy per 1,000 was 9.8 (95% CI: 8.6–11.1), 17.7 (14.2–20.6) in Gwandu,
 4.8 (3.4–6.6) in Afikpo and 3.3 (2.0–5.1) in Ijebu-Jesa. The pooled
 incidence per 100,000 was 101.3 (95% CI: 57.9–167.6), 201.2 (105.0–358.9)
 in Gwandu, 27.6 (3.3–128.0) in Afikpo and 23.9 (3.2–157.0) in Ijebu-Jesa.
 Children's significant risk factors included febrile seizures,
 meningitis, poor perinatal care, open defecation, measles, and family
 history in first-degree relatives. In adults, head injury, poor perinatal
 care, febrile seizures, family history in second-degree relatives, and
 consanguinity were significant. Gwandu had more significant risk factors.
 The PAF for the important factors in children was 74.0% (71.0%–76.0%) and
 79.0% (75.0%–81.0%) for adults. Conclusion: This work suggests varied
 epidemiological numbers, which may be explained by differences in risk
 factors and population structure in the different regions. These
 variations should differentially determine and drive prevention and health
 care responses.
description: This is a cross-sectional door-to-door and case-control study.
 Data was collected through a population census. Data entered into
 Microsoft Excel and processed. Prevalence and incidence calculated using
 <i>R epitools</i>. The case-control data was analyzed using
 Stata 15. We used a Chi-squared test to compare categorical variables
 between cases and controls and between sites. The Wilcoxon-rank sum and
 the Kruskal-Wallis tests to compare continuous variables between cases and
 controls and sites. Multivariate logistic regression to calculate odds
 ratios. Multiple imputations by chained equation (MICE) to deal with
 missing data.
description: Attached are the datasets. Included along with the data sets are
 the corresponding ReadMe files.
DOI: 10.57830/2313437
title: White Sands National Park monthly precipitation, maximum temperature, and minimum temperature (2000 - 2022)

description: Tabular data consisting of monthly precipitation, maximum temperature, and minimum temperature for White Sands National Park from 2002 to 2022. Data was exported from The Climate Analyzer, a website that creates custom graphs and tables from weather station data, satellite imagery, and other climate sources.
DOI: 10.57830/2307292
title: Sleeping Bear Dunes Acoustic Monitoring Report: Off-site Listening Results

description: This dataset presents summarized results of acoustical data gathered by the Natural Sounds and Night Skies Division (NSNSD) at two sites in Sleeping Bear Dunes National Lakeshore (SLBE) from March-April 2022. Specifically, these summaries represent the off-site listening analysis conducted by the Listening Lab at Pennsylvania State University. The data summaries include hourly audibility (% time audible) results of each natural and non-natural sound source in a subset of the acoustical dataset. The data herein are described in further detail in the corresponding acoustic monitoring report.
DOI: 10.5061/dryad.f1vhhmgws
title: Upland grassland habitats and agri-environment schemes change soil microarthopod abundance

description: This dataset contains invertebrate and plant survey
 data described in the paper: "Arnott, A., Riddell, G.,
 Emmerson, M., Caruso, T., Reid, N. (2021)  Upland grassland
 habitats and agri-environment schemes change soil microarthopod abundance.
 J. Appl. Ecol" This study tested the effects of agri-environment
 scheme (AES) management of upland grasslands on soil microarthopod
 communities using a large-scale factorial field experiment across 90 field
 sites. Invertebrate families were extracted using Tullgren funnels, plant
 species were identified from quadrats randomly placed in each field. The
 study focused on soil microarthropods with distinct taxa specific
 responses observed. Main results from the study suggest that in
 upland grasslands the impact of AES measures on belowground soil
 biota are context-dependent (differing between contrasting grassland
 types), and taxa specific, rather than leading to general increases in
 biodiversity, and that the responses of soil microarthropods are driven by
 environmental variation caused by overall management of grassland fields.
description: This data was collected across 90 upland grassland farmed
 fields in Northern Ireland and has been analysed using linear mixed-effect
 models and multivariate analysis to produce a MS accepted for publication
 at the Journal of Applied Ecology.
description: The readme file contains an explanation of each of the variables
 in the dataset and its measurement units.
DOI: 10.5061/dryad.zgmsbccbh
title: Potential local adaptation in populations of invasive reed canary grass (Phalaris arundinacea) across an urbanization gradient

description: Urban stressors represent strong selective gradients that can elicit
 evolutionary change, especially in non-native species that may harbor
 substantial within-population variability. To test whether urban stressors
 drive phenotypic differentiation and influence local adaptation, we
 compared stress responses of populations of a ubiquitous invader, reed
 canary grass (Phalaris arundinacea). Specifically, we quantified responses
 to salt, copper, and zinc additions by reed canary grass collected from
 four populations spanning an urbanization gradient (natural, rural,
 moderate urban and intense urban). We measured ten phenotypic traits and
 trait plasticities, because reed canary grass is known to be highly
 plastic and because plasticity may enhance invasion success. We tested the
 following hypotheses: 1) source populations vary systematically in their
 stress response, with the intense urban population least sensitive and the
 natural population most sensitive, and 2) plastic responses are adaptive
 under stressful conditions. We found clear trait variation among
 populations, with the greatest divergence in traits and trait plasticities
 between the natural and intense urban populations. The intense urban
 population showed stress tolerator characteristics for resource
 acquisition traits including leaf dry matter content and specific root
 length. Trait plasticity varied among populations for over half the traits
 measured, highlighting that plasticity differences were as common as trait
 differences. Plasticity in root mass ratio and specific root length were
 adaptive in some contexts, suggesting that natural selection by
 anthropogenic stressors may have contributed to root trait differences.
 Reed canary grass populations in highly urbanized wetlands may therefore
 be evolving enhanced tolerance to urban stressors, suggesting a mechanism
 by which invasive species may proliferate across urban wetland systems
 generally.
description: These data are from a common garden experiment with reed canary
 grass (Phalaris arundinacea) collected from four populations along an
 urbanization gradient (5 individuals each). Clonal replicates of each
 individual were exposed to one of three urban-associated stressors
 (copper, zinc, salt) or stress-free controls. Plants were grown for one
 growing season and multiple traits recorded, including leaf and root
 functional traits and whole-plant biomass. Analyses were conducted to
 assess whether populations across our gradient differed in these traits or
 in trait plasticity, and whether plasticity was adaptive in stressful
 conditions.
DOI: 10.5061/dryad.sf7m0cg6h
title: Targeting Myc-driven stress vulnerability in mutant KRAS colorectal cancer (Ruan et al.)

description: Mutant KRAS is a key driver in colorectal cancer (CRC) and promotes Myc
 translation and Myc-dependent stress adaptation and proliferation. Here,
 we report that the combination of two FDA-approved drugs Bortezomib and
 Everolimus (RAD001) (BR) is highly efficacious against mutant KRAS CRC
 cells. Mechanistically, the combination, not single agent, rapidly
 depletes Myc protein, not mRNA, and leads to GCN2- and p-eIF2a-dependent
 cell death through the activation of extrinsic and intrinsic apoptotic
 pathways. Cell death is selectively induced in mutant KRAS CRC cells with
 elevated basal Myc and p-eIF2a and is characterized by CHOP induction and
 transcriptional signatures in proteotoxicity, oxidative stress, metabolic
 inhibition, and immune activation.  BR-induced p-GCN2/p-eIF2a
 elevation and cell death are strongly attenuated by MYC knockdown and
 enhanced by MYC overexpression. The BR combination is efficacious against
 mutant KRAS patient derived organoids (PDO) and xenografts (PDX) by
 inducing p-eIF2a/CHOP and cell death.  Interestingly, an elevated
 four-gene (DDIT3, GADD45B, CRYBA4 and HSPA1L) stress signature is linked
 to shortened overall survival in CRC patients. These data support that
 Myc-dependent stress adaptation drives the progression of mutant KRAS CRC
 and serves as a therapeutic vulnerability, which can be targeted using
 dual translational inhibitors.
description: Please
 refer to README and the manuscript/paper.
description: <br>Please referr to
 README.
DOI: 10.5061/dryad.vq83bk3sg
title: ABS questionnaire 2016 and Questionnaire results 2018 (46)

description: Auto-Brewery Syndrome (ABS), also known as Gut Fermentation Syndrome, is a
 rare but underdiagnosed condition. While scores of case studies of ABS are
 published, only one previous study examined ABS patients’ demographics,
 health history, lifestyle factors, and diet compared to a control group of
 household members. We designed a case-control study to identify
 factors that individuals with a diagnosis of ABS and those who live with
 them might have that differ from the general population. We administered a
 survey to 46 patients known to have a diagnosis of ABS and their household
 members. Here, we compare our group of survey takers to a cohort of the
 American Gut Project (AGP) participants (N=11,297) for the 30 questions
 that were identical. With a response rate of 88% and using Rank Sum Tests,
 the data demonstrate that patients with ABS and their household members
 are more likely than participants of the AGP to own a pet (p=.03 for cat;
 p=.0001 for dog), get less sleep (p=.0001), and have lesser quality bowel
 movements (p=.03). In addition, the ABS group consumes more water (p=.02)
 and less alcohol (p=.0004), eats at home more often (p=.0056), and reports
 more aversion to sweets (p=.01). The most striking difference is a higher
 presence of non-food allergies in all five subcategories of the survey in
 the ABS group compared to the AGP group. Patients with ABS and their
 household members show several significant differences in their lifestyle
 and health, diet, and medical history compared to a large group of AGP
 participants. These differences lead to several hypotheses of
 co-morbidities and warrant further research.
description: Online Questionnaire via interactive pdf form.
 Answers to 78-item questionnaire collected by Excel spreadsheet.
 Deidentified according to Safe Harbor.