cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.vhhmgqp09
title: Data from: Predictive links between petal color and pigment quantities in natural Penstemon hybrids

description: Flowers have evolved remarkable diversity in petal color, in large part
 due to pollinator-mediated selection. This diversity arises from
 specialized metabolic pathways that generate conspicuous pigments. Despite
 the clear link between flower color and floral pigment production, studies
 determining predictive relationships between pigmentation and petal color
 are currently lacking. In this study, we analyze a dataset consisting of
 hundreds of natural Penstemon hybrids that exhibit variation in flower
 color, including blue, purple, pink, and red. For each individual hybrid,
 we measured anthocyanin pigment content and petal spectral reflectance. We
 found that floral pigment quantities are correlated with hue, chroma, and
 brightness as calculated from petal spectral reflectance data: hue is
 related to the relative amounts of delphinidin vs. pelargonidin
 pigmentation, whereas brightness and chroma are correlated with the total
 anthocyanin pigmentation. We used a partial least squares regression
 approach to identify predictive relationships between pigment production
 and petal reflectance. We find that pigment quantity data provide robust
 predictions of petal reflectance, confirming a pervasive assumption that
 differences in pigmentation should predictably influence flower color.
 Moreover, we find that reflectance data enables accurate inferences of
 pigment quantities, where the full reflectance spectra provide much more
 accurate inference of pigment quantities than spectral attributes
 (brightness, chroma, and hue). Our predictive framework provides readily
 interpretable model coefficients relating spectral attributes of petal
 reflectance to underlying pigment quantities. These relationships
 represent key links between genetic changes affecting anthocyanin
 production and ecological functions of petal coloration.
DOI: 10.5258/soton/wp00880
title: High-resolution, modelled DTP1,3 and MCV1 vaccination coverage and zero-dose estimates for Nigeria (2000 â 2024), version 1.0

description: This data release provides gridded (at a spatial resolution of 30 arc-seconds, approximately 1 km grid cells), annual estimates of DTP1,3 and MCV1 vaccination coverage rates and numbers of zero-dose children (defined as those who had not received DTP1) for Nigeria covering the period from 2000 to 2024. The project team utilized data from the 2003, 2008, 2013, 2018, and 2024 Demographic and Health Surveys (DHS) and the 2016/17 and 2021 Multiple Indicator Cluster Surveys (MICS), along with geospatial covariates to model and predict vaccination coverage for each birth cohort within the study period. Estimates were produced for each grid cell within a Bayesian geostatistical modelling framework. The approach allowed the quantification of uncertainties in the coverage estimates. The estimation of numbers of zero-dose children combined the vaccination coverage estimates with existing high-resolution population estimates of children aged under one-year-old.
These data were produced by the WorldPop’ VaxPop team at the University of Southampton. This work was part of the Gavi zero-dose III project, with funding provided by Gavi, the Vaccine Alliance [grant number: MEL 11779722]. Project partners included Gavi, UNICEF, and WorldPop at the University of Southampton.
DOI: 10.5061/dryad.xsj3tx9mp
title: Effects of tree species diversity and conspecific seedling density on insect herbivory and pathogen infection on big-leaf mahogany seedlings

description: The Janzen-Connell Hypothesis (JCH) predicts that attack by specialist
 enemies on seedlings increases with conspecific seedling density, but
 studies have rarely experimentally tested for the contingency of such
 effects on tree community context (e.g., diversity, composition) and
 measured responses by different enemies (e.g. herbivores, pathogens). We
 conducted a field study in a large-scale system evaluating tree species
 diversity and conspecific density effects on leaf damage on mahogany
 (Swietenia macrophylla) seedlings. We established quadrats of eight levels
 of seedling density across mahogany tree monocultures and species
 polycultures including mahogany, and recorded percent leaf damage by
 insects and percent leaf necrosis by a pathogenic fungus on mahogany
 seedlings. We found contrasting effects of tree species diversity on
 insects and pathogens. Whereas diversity did not affect leaf damage by
 insects, it had a significant negative effect on leaf necrosis by
 pathogens. On average, percent leaf necrosis on mahogany seedlings in
 polyculture was half of that observed in monoculture. We discuss the
 potential influences of changes in mahogany tree density vs. frequency
 (relative to other tree species) driving this diversity effect.
 Unexpectedly, we found no effect of seedling conspecific density on either
 leaf insect or pathogen damage (i.e., density-independent attack).
 Likewise, we found no significant tree diversity by seedling density
 interaction, indicating that attackers were consistently unresponsive to
 variation in seedling density across two levels of tree diversity.
 Overall, this study provides a unique test of the JCH by experimentally
 evaluating seedling density and tree diversity effects on contrasting
 plant enemies, shedding light on enemy controls over plant recruitment.
DOI: 10.5061/dryad.tqjq2bw4s
title: Labeled RGB and depth images for cattle body condition score prediction

description: This dataset contains a collection of preclassified Criollo cow RGB+depth
 videos, as well as processed depth, grayscale, and edge images. The
 dataset was previously used to train convolutional neural networks and
 vision transformers to estimate body condition scores of cattle, and will
 be useful to other researchers in need a high quaility visual dataset that
 incorporates depth for the purposes of three dimensional representations
 of cattle. The availability of compatible software and image processing
 packages makes this dataset very robust and applicable to other areas of
 both agricultural and machine learning research. This dataset has several
 features that make it a good test of machine learning algorithms such as
 low sample uniqueness and a slightly subjective metric.
description: This dataset is composed of videos saved as Rosbag files recorded
 via an Intel Realsense D435i RGB+depth camera. Each video is unfiltered
 and unprocessed, and contains RGB and depth channels. These videos are
 easily processed using the <code>pyrealsense2</code> library,
 created by Intel. Filter parameter effects can be observed in realtime via
 the Intel Realsense Viewer software (hyperlink this). Most videos are
 recorded at a resolution of 640x480, with several having 848x480. This
 mistake in resolution is easily recified in postprocessing. During
 recording, roughly a third the cows were allowed to stand in a lane, and
 the rest were allowed to walk through the lane unimpeded. Cows that stood
 in the lane are denoted as "Cow_##" whereas cattle that walked
 are "Cow_##_####".
description: The easiest way to manipulate
 each <code>.bag</code> file is to use
 the <code>pyrealsense</code> library, as intel seems to have
 used their own conventions. Each depth image generated by the video is 16
 bits deep, and special care should be taken when assigning data types so
 as to not truncate each value. Many image formats are incapable of 16-bit
 images, and some machine learning librarys will reject an image that is
 forced to have 16 bits of depth. Therefore, we encourage users to
 normalize each depth image before converting to an 8-bit data type so as
 to minimize data corruption. In
 the article, each image was assumed to be unique, and this created some
 unwanted effects. If the application that this dataset will be used for
 requires unique images, use as few as possible from each cow. Images
 generated from videos should be temporally distant from each other so as
 to maximize uniqueness.
DOI: 10.5061/dryad.c866t1gc5
title: Chemical upcycling of polyethylene, polypropylene, and mixtures to high-value surfactants

description: Conversion of plastic wastes to fatty acids is an attractive means to
 supplement the sourcing of these high-value, high-volume chemicals.
 Herein, we report a method for transforming polyethylene (PE) and
 polypropylene (PP) at ~80% conversion to fatty acids with number average
 molar masses up to ~700 Da and 670 Da, respectively. The process is
 applicable to municipal PE and PP wastes and their mixtures.
 Temperature-gradient thermolysis is the key to controllably degrading PE
 and PP into waxes and inhibiting producing small molecules. The waxes are
 upcycled to fatty acids by oxidation over manganese stearate and
 subsequent saponification. PP ꞵ-scission produces more olefin wax and
 yields higher acid-number fatty acids than PE. We further convert the
 fatty acids to high-value, large-market-volume surfactants.
 Industrial-scale technoeconomic analysis suggests economic viability
 without subsidies.
DOI: 10.5061/dryad.9zw3r22kd
title: Data from: Plasma proteomic signatures of enteric permeability among hospitalized and community children under two years of age in Kenya and Pakistan

description: We aimed to establish if enteric permeability was associated with similar
 biological processes in children recovering from hospitalization and
 relatively healthy children in the community. Extreme gradient-boosted
 models predicting the lactulose rhamnose ratio, a biomarker of enteric
 permeability, using 7,500 plasma proteins and 34 fecal biomarkers of
 enteric infection among 89 hospitalized and 60 community children aged
 2-23 months were built. The R2 were calculated in test sets. The models
 performed better among community (R2: 0·27 [min-max: 0·19, 0·53]) than
 hospitalized children (R2: 0·07 [min-max: 0·03, 0·11]).  In the
 community, LRR was associated with biomarkers of humoral antimicrobial and
 cellular lipopolysaccharide responses, and inversely associated with
 anti-inflammatory and innate immunological responses. Among hospitalized
 children, the selected biomarkers had few shared functions. This suggests
 enteric permeability among community children was associated with a host
 response to pathogens, but this association was not observed among
 hospitalized children.
DOI: 10.5061/dryad.zw3r228d3
title: Data for: Mechanisms that can cause population decline under heavily skewed male-biased adult sex ratios

description: While adult sex ratio (ASR) is a crucial component for population
 management, there is still a limited understanding of how its fluctuation
 affects population dynamics. To demonstrate mechanisms that hinder
 population growth under a biased ASR, we examined changes in reproductive
 success with ASR using a decapod crustacean exposed to female-selective
 harvesting. We examined the effect of ASR on the spawning success of
 females. A laboratory experiment showed that the number of eggs carried by
 females decreased as the proportion of males in the mating groups
 increased. Although the same result was not observed in data collected
 over 25 years in the wild, the negative effect of ASR was suggested when
 success in carrying eggs was considered as a spawning success. These
 results indicate that a surplus of males results in females failing to
 carry eggs, probably due to sexual coercion, and the negative effect of
 ASR can be detected at the population level only when the bias increases
 because failure in spawning success occurs in part of population. We
 experimentally examined how male-biased sex ratios affected the
 maintenance of genetic diversity in a population. The diversity of
 paternity in a clutch increased with the number of candidate fathers.
 However, over 50% of a clutch was fertilised by a single male regardless
 of the sex ratio, and the degree of diversity was less than half of the
 highest diversity expected in each mating group. We also experimentally
 examined the mating ability of males during the breeding season. The
 experiment showed that multiple mating by males could not compensate for
 the risk that their genotypes would be lost when multiple males competed
 for one female. These results suggest that a male-biased ASR could trigger
 a decline of genetic diversity in a population. We show that ASR skewed by
 female-selective harvesting decreases reproductive success not only of
 males that have few mating opportunities but also of females. We discuss
 that we may still underestimate the significance of ASR on population
 persistence due to the difficulty of revealing the effect of ASR.
DOI: 10.5061/dryad.t76hdr85s
title: Data and code for: Changes in prey body size differentially reduces predation risk across predator and prey abundances

description: Trophic interactions underpin the structure of ecological communities by
 describing the rate at which consumers exploit their resources. The rates
 at which predators consume their prey are influenced by prey traits, with
 many species inducing defensive modifications to prey traits following the
 threat of predation. Here we use different clonal lines of the protist
 Paramecium being consumed by Stenostomum predators to highlight how
 differences in prey traits impact rates of predation. Clonal lines
 differed in their body width traits and in their ability to induce changes
 in body width. By using a factorial cross of predator and prey abundances
 for different clonal lines we demonstrate how evolutionary or induced
 alterations in prey traits can impact the relative threat of predation.
 Our experiments show how interference among predators impacts predation
 rate and how increased body width increased predator handling times. Given
 that reductions in the strength of interspecific interactions are
 associated with increased levels of overall community stability, our
 results indicate how individual-level changes may scale up to impact whole
 communities.
DOI: 10.57745/r2zlfs
title: eco2adapt_Soil SIR_T0_France.tab

description: :unav
DOI: 10.57745/fqshsa
title: eco2adapt_Soil SIR_T0_France

description: This dataset presents the results of soil SIR (Substrate Induced Respiration) analyses for French LL (Bordeaux) (Time zero - October 2023 & June 2024)
DOI: 10.5061/dryad.n8pk0p31r
title: A pragmatic randomized maternal education trial in rural Uganda - Eight years of sustained improvement in child development

description: Background Nutrition and stimulation interventions may promote early
 childhood development, but little is known about the long-term benefits of
 such interventions, particularly in low- and middle-income countries. We
 now conducted a follow-up study on a cluster-randomized maternal education
 trial that was conducted when their children were 6–8 months old, to
 assess the sustainability of the developmental benefits eight years after
 the intervention. Methods and findings The intervention consisted of
 education in nutrition, hygiene, oral sanitation and child stimulation. In
 the current study, we assessed child processing and cognitive abilities
 using the Kaufman Assessment Battery for Children Second Edition (KABC-II)
 and attention and inhibitory control using the Test of Variables of
 Attention (TOVA). Using Stata version 17.0, t-tests and multi-level
 regression were employed to compare scores from KABC-II and TOVA tests in
 the two study groups adjusting for clustering effect. The data were
 analyzed by intention-to-treat. The original trial included 511
 mother-child pairs (intervention n=263, control n=248), whereas in the
 current study, 361 (71%; intervention n=185, control n=176) pairs were
 available for analyses. The intervention group scored higher than the
 controls (all P-values&lt;0.001) on all five KABC-II sub-scales, as
 well as on the KABC-II global score (mean difference: 14, 95% CI: 12–16;
 P&lt;0.001). Furthermore, for all five TOVA variables, the
 intervention group scored higher than the controls in both the visual and
 auditory tasks (all P-values &lt;0.05).  The main limitation
 is that we were unable to determine the exact individual contribution of
 each component (nutrition, hygiene and stimulation) of the intervention to
 the developmental benefits since they were all delivered as a combined
 package. Conclusions The intervention group consistently scored markedly
 higher on both psychometric tests. Thus, even eight years after the
 original maternal education intervention, the developmental benefits that
 we observed at child age of one, two and three years, were sustained.
description: The data was collected through field-work where we approached the
 study participants in their home communitites. We then cleaned the data,
 analyzed them statistically and finally interpretated the findings. More
 details can be found in the Method-section of the paper.
DOI: 10.5061/dryad.1g1jwsv28
title: Rice phenotypic data – CNA6 population and advanced lines

description: One of the main challenges of breeding programs is to identify superior
 genotypes from a large number of candidates. By gradually increasing the
 frequency of favorable alleles in the breeding population, recurrent
 selection improves the population mean for target traits, increasing the
 chance to identify promising genotypes. In rice, population improvement
 through recurrent selection has been used very little to date, except in
 Latin America. At Embrapa (Brazilian Agricultural Research Corporation),
 the upland rice breeding program is conducted in two phases: population
 improvement followed by product development. In this study, the CNA6
 population, evaluated over five cycles (3 to 7) of selection, including 20
 field trials, was used to assess the realized genetic gain. A high rate of
 genetic gain was observed for grain yield, at 215 kg.ha-1 per cycle or
 67.8 kg.ha-1 per year (3.08%). The CNA6 population outperformed the
 controls only for the last cycle, with a yield difference of 1,128
 kg.ha-1. An analysis of the product development pipeline, based on 29
 advanced yield trials with lines derived from cycles 3 to 6, showed that
 lines derived from the CNA6 population had high grain yield, but did not
 outperform the controls. These results demonstrate that the application of
 recurrent selection to a breeding population with sufficient genetic
 variability can result in significant genetic gains for quantitative
 traits, such as grain yield. The integration of this strategy into a
 two-phase breeding program also makes it possible to increase quantitative
 traits while selecting for other traits of interest.
DOI: 10.25574/cdc.384
title: Chandra X-ray Observatory Chandra Data Collection for request #384

description: Chandra Data Collection for request #384
description: DOI updated to include the publication's DOI on 2026-01-28-10:00:00
DOI: 10.5061/dryad.r4xgxd2k2
title: Reference genome resources associated with the project: Functional genetic diversity is correlated with intensity of genetic drift in populations of an endangered rattlesnake

description: Theory predicts that genetic erosion in small, isolated populations of
 endangered species can be assessed using estimates of neutral genetic
 variation reflecting long-term impacts of genetic drift, yet this widely
 used approach has been questioned in the genomics era. Here we leverage a
 chromosome-level assembly and whole genome resequencing data (N=110
 individuals) from an endangered rattlesnake (Sistrurus catenatus) to
 evaluate the relationship between genome-wide neutral and functional
 diversity over long- and short-term timescales. As predicted for
 populations at long-term equilibrium, we found a positive correlation
 between population-level estimates of neutral genetic diversity (π) and
 the mean number of highly detrimental loss-of-function mutations, and a
 negative relationship between neutral genetic diversity and an estimate of
 genetic load. In contrast, we found only a weak, non-significant positive
 correlation between levels of neutral and adaptive variation. Additional
 analyses using estimates of drift at more recent time scales (&gt; 100
 generations) show expected correlations between both measures of genetic
 load, but a lack of a significant correlation with levels of adaptive
 variation. Individual-based demographic metrics that capture drift impacts
 over recent time scales confirm these results. Broadly, our results
 confirm that estimates of diversity and demography based on neutral
 genetic variation provide an accurate measure of a key component of
 genetic erosion – genetic load – in populations of a threatened
 vertebrate. Our findings also provide nuance to the neutral-functional
 diversity controversy by demonstrating that neutral genetic diversity is
 useful in predicting some, but not all, components of functional genetic
 diversity.
DOI: 10.25338/b8793w
title: Code from: Structural design to mitigate concrete GHG emissions

description: The concrete industry currently contributes an estimated ~8% of global
 anthropogenic GHG emissions annually. Reducing emissions from this
 industry is a critical step in meeting emissions goals. In our study, we
 investigate near-term mitigation strategies that can significantly reduce
 global GHG emissions from concrete production. The manufacturing of
 cement, an essential ingredient in concrete, is the primary contributor to
 GHG emissions from concrete production. This model’s primary focus is on
 the efficient use of cement, a key strategy for reducing emissions. Based
 on projected global population growth and material saturation levels, we
 estimated the global cement demand from 2015-2100. We quantified estimates
 for current GHG emissions from the production of cement-based materials
 and the potential reduction in GHG emissions that could be achieved
 globally if four mitigation strategies are implemented. These strategies
 are: (1) implementing changes to cement manufacturing, such as improving
 the energy efficiency, using low-carbon fuels, and switching to
 lower-emissions electricity grids; (2) increasing use of supplementary
 cementitious materials to lower the amount of high-emissions components of
 cement and concrete; (3) utilizing concrete strength and steel
 reinforcement ratios to optimize concrete structural members; and (4)
 elongating the service life of concrete structures to reduce future cement
 demand.
description: This packet includes a dataset used in the associated publication
 "Near-term pathways for decarbonizing global concrete
 production", a manuscript which explores how engineering design can
 be used to reduce the greenhouse gas (GHG) emissions from concrete
 production. Additionally, the codes written to make these figures are
 included in the packet.
DOI: 10.5281/zenodo.18401298
title: EPW file, Indoor and Outdoor simulations results divided by climate scenarios and building code
title: Simulations results

description: EPW file, Indoorresults divided by climate scenarios and building code, Outdoor simulations results
DOI: 10.5281/zenodo.18401297
title: EPW file, Indoor and Outdoor simulations results divided by climate scenarios and building code
title: Simulations results

description: EPW file, Indoorresults divided by climate scenarios and building code, Outdoor simulations results