cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/679k5zxgvt
title: From drill to chill: The effect of military service on subjective well-being in rural China

description: README: Replication Package
Paper Title
From drill to chill: The effect of military service on subjective well-being in rural China
Authors:
Chunkai Zhao (South China Agricultural University)
Boou Chen (Nanjing University of Finance and Economics)
Huilin Xie (Sun Yat-sen University)
Date: Jan 27, 2026

This folder contains the programs and materials required to reproduce the results of the paper "From drill to chill: The effect of military service on subjective well-being in rural China."
DOI: 10.17632/679k5zxgvt.6
title: From drill to chill: The effect of military service on subjective well-being in rural China

description: README: Replication Package
Paper Title
From drill to chill: The effect of military service on subjective well-being in rural China
Authors:
Chunkai Zhao (South China Agricultural University)
Boou Chen (Nanjing University of Finance and Economics)
Huilin Xie (Sun Yat-sen University)
Date: Jan 27, 2026

This folder contains the programs and materials required to reproduce the results of the paper "From drill to chill: The effect of military service on subjective well-being in rural China."
DOI: 10.5061/dryad.83dt5sq
title: Data from: Multispecies conservation of freshwater fish assemblages in response to climate change in the southeastern United States

description: Aim: Streamflow and water temperature are primary variables influencing
 the distribution of freshwater taxa. Climate-induced changes in these
 variables are already causing shifts in species distributions, with
 continued changes projected in the coming decades. The Mobile River Basin
 (MRB), located in the southeastern United States, contains some of the
 highest levels of temperate freshwater biodiversity in North America. We
 integrated species distribution data with contemporary and future
 streamflow and water temperature data as well as other physical habitat
 data to characterize occurrence probabilities of fish species in the MRB
 with the goal of identifying current and future areas of high conservation
 value. Location: Mobile River Basin, southeastern United States Methods:
 We used a maximum entropy approach to estimate baseline and future
 occurrence probability distributions for 88 fish species in the MRB based
 on model-generated streamflow and water temperature as well as geologic,
 topographic, and land cover data. Areas of conservation prioritization
 were identified based on regions that contain suitable habitat for high
 levels of biodiversity according to baseline and future conditions while
 accounting for uncertainty associated with multiple future climate
 projections. Results: On average, flow (28%), water temperature (28%), and
 geology (30%) contribute evenly to determining suitable habitat for fish
 species in the MRB. Based on baseline and future species distribution
 model estimates, high priority streams (best 10%) are largely concentrated
 in the eastern portion of the MRB, with a majority (51%) located within
 the Coosa and Tallapoosa River systems. Main Conclusion: We provide a
 framework that uses relevant hydrologic and environmental data in the
 context of future climatic uncertainty to estimate areas of freshwater
 conservation opportunity in the coming decades. While streamflow and water
 temperature represent important habitat for freshwater fishes in the MRB,
 distributions are also constrained by other aspects of the physical
 environment.
description: VanCampernolle et al
 2019Folder includes species
 locality data and current and future environmental data used for Maxent
 species distribution models. The 'Calibration fish localities'
 file includes individual georeferenced species localities used for Maxent
 model calibration (training). The 'Validation fish localities'
 file includes individual georeferenced species localities used for Maxent
 model validation (testing). The 'Currrent_environment' folder
 includes GIS habitat data for Maxent modeling of contemporary species
 distributions. The 'Future_environment' folder includes GIS
 habitat data for Maxent projection of future species distributions. The
 'Future_environment' folder contains subfolders with all Global
 Climate Model (GCM) scenarios used for future Maxent
 projections.
DOI: 10.5061/dryad.05qm36k
title: Data from: phenotools: an R package for visualizing and analyzing phenomic datasets

description: 1.Phenotypic data is crucial for understanding genotype–phenotype
 relationships, assessing the tree of life, and revealing trends in trait
 diversity over time. Large‐scale description of whole organisms for
 quantitative analyses (phenomics) presents several challenges, and
 technological advances in the collection of genomic data outpace those for
 phenomic data. Reasons for this disparity include the time‐consuming and
 expensive nature of collecting discrete phenotypic data and mining
 previously‐published data on a given species (both often requiring
 anatomical expertise across taxa), and computational challenges involved
 with analyzing high‐dimensional datasets. 2.One approach to building
 approximations of organismal phenomes is to combine published datasets of
 discrete characters assembled for phylogenetic analyses into a phenomic
 dataset. Despite a wealth of legacy datasets in the literature for many
 groups, relatively few methods exist for automating the assembly,
 analysis, and visualization of phenomic datasets in phylogenetic contexts.
 Here, we introduce a new R package phenotools for integrating (fusing
 original or legacy datasets), curating (finding and removing duplicates),
 and visualizing phenomic datasets. 3.We demonstrate the utility of the
 proposed toolkit with a morphological dataset for flightless birds and two
 morphological datasets for theropod dinosaurs and provide recommendations
 for character construction to maximize accessibility in future workflows.
 Visualization tools allow rapid identification of anatomical sub‐regions
 with difficult or problematic histories of homology. 4.We anticipate these
 tools aiding automation of the assembly and visualization of phenomic
 datasets to inform evolutionary relationships and rates of phenotypic
 evolution.
description: NEXUS-formatted phenomic
 datasets for palaeognathsNew character data
 scored for palaeognaths, in NEXUS formatpalaeognath_datasets.zipPalaeognath hindlimb duplicatesHindlimb duplicates in palaeognath phenomic datasetpalaeognath_phenomic_dataset_dups.csvAnatomical terms used for sorting phenomic datasetphenome_terms.csvConcatenated palaeognath phenomic datasetSorted and concatenated phenomic dataset containing 2506 characters for 125 taxapalaeognath_phenomic_dataset.nexMain analysis fileanalysis.RText file with character-specific commentsMarked up text file for palaeognath phenomic dataset. Used to demonstrate functionality of getcomments() function in phenotools.palaeognath_phenomic_dataset_markup.txt
DOI: 10.5061/dryad.295h8km
title: Data from: The evolution of male and female mating preferences in Drosophila speciation

description: The relative importance of male and female mating preferences in causing
 sexual isolation between species remains a major unresolved question in
 speciation. Despite previous work showing that male courtship bias and/or
 female copulation bias for conspecifics occur in many taxa, the present
 study is one of the first large-scale works to study their relative
 divergence. To achieve this, we used data from the literature and present
 experiments across 66 Drosophila species pairs. Our results revealed that
 male and female mate preferences are both ubiquitous in Drosophila but
 evolved largely independently, suggesting different underlying
 evolutionary and genetic mechanisms. Moreover, their relative divergence
 strongly depended on the geographical relationship of species. Between
 allopatric species, male courtship and female copulation preferences
 diverged at very similar rates, evolving approximately linearly with time
 of divergence. In sharp contrast, between sympatric species pairs, female
 preferences diverged much more rapidly than male preferences and were the
 only drivers of enhanced sexual isolation in sympatry and Reproductive
 Character Displacement (RCD). Not only does this result suggest that
 females are primarily responsible for such processes as reinforcement, but
 it also implies that evolved female preferences may reduce selection for
 further divergence of male courtship preferences in sympatry.
description: Supl. Dataset 1_Raw
 DataSupl. Dataset
 2_Experimental dataSupl. Dataset
 3_Relationship between no-choice vs. male-choice court
 preferencesSupl. Dataset 4_Stocks
 used in experimentsSupl. Dataset
 5_Relationship between exper. and lit. mate preferencesSupl. Dataset 6_Phylog.
 Corrected Data
DOI: 10.17632/xjdd8jyjz5
title: Machine Learning Modelling of Groundwater Water Quality Index (WQI)

description: The dataset comprises groundwater quality data collected during a post-monsoon sampling campaign from the Jajpur district, Odisha, India. Twelve hydrochemical parameters were used as predictors for Water Quality Index (WQI) modelling. The WQI served as the response variable. The dataset was analysed using Bayesian hyperparameter–optimized artificial neural network (ANN), random forest (RF), and multiple linear regression (MLR) models. Model evaluation included cross-validation, resilience testing, predictor importance analysis This submission includes the compiled groundwater dataset, optimized model architectures, and source codes used for analysis and graphical representation.
DOI: 10.17632/xjdd8jyjz5.1
title: Machine Learning Modelling of Groundwater Water Quality Index (WQI)

description: The dataset comprises groundwater quality data collected during a post-monsoon sampling campaign from the Jajpur district, Odisha, India. Twelve hydrochemical parameters were used as predictors for Water Quality Index (WQI) modelling. The WQI served as the response variable. The dataset was analysed using Bayesian hyperparameter–optimized artificial neural network (ANN), random forest (RF), and multiple linear regression (MLR) models. Model evaluation included cross-validation, resilience testing, predictor importance analysis This submission includes the compiled groundwater dataset, optimized model architectures, and source codes used for analysis and graphical representation.
DOI: 10.5061/dryad.v961mb4
title: Data from: Parallel molecular evolution in pathways, genes, and sites in high-elevation hummingbirds revealed by comparative transcriptomics

description: High-elevation organisms experience shared environmental challenges that
 include low oxygen availability, cold temperatures, and intense UV
 radiation. Consequently, repeated evolution of the same genetic mechanisms
 may occur across high-elevation taxa. To test this prediction, we
 investigated the extent to which the same biochemical pathways, genes, or
 sites were subject to parallel molecular evolution for 12 Andean
 hummingbird species (family: Trochilidae) representing several independent
 transitions to high elevation across the phylogeny. Across high-elevation
 species, we discovered parallel evolution for several pathways and genes
 with evidence of positive selection. In particular, positively selected
 genes were frequently part of cellular respiration, metabolism, or cell
 death pathways. To further examine the role of elevation in our analyses,
 we compared results for low- and high-elevation species and tested
 different thresholds for defining elevation categories. In analyses with
 different elevation thresholds, positively selected genes reflected
 similar functions and pathways, even though there were almost no specific
 genes in common. For example, EPAS1 (HIF2), which has been implicated in
 high-elevation adaptation in other vertebrates, shows a signature of
 positive selection when high-elevation is defined broadly (&gt; 1500
 m), but not when defined narrowly (&gt; 2500 m). While a few
 biochemical pathways and genes change predictably as part of hummingbird
 adaptation to high-elevation conditions, independent lineages have rarely
 adapted via the same substitutions
description: mlim_transcriptome_scriptsBioinformatics and data analysis scripts used in the study. The purpose of each script is briefly described in the readme file.
DOI: 10.17632/6nt9t4bmyp
title: Proteolytic Enzymes in Dentin Erosion: Roles of Matrix Metalloproteinases and Cathepsins and the Effectiveness of Synthetic and Natural Inhibitors—A Systematic Review

description: This systematic review synthesizes and critically appraises the current evidence on the role of proteolytic enzymes in dentin erosion, with a specific focus on matrix metalloproteinases (MMPs) and cathepsins, and evaluates the effectiveness of synthetic and natural inhibitors in modulating their activity. Dentin erosion is a multifactorial process in which acid-mediated demineralization is exacerbated by endogenous enzymatic degradation of the exposed organic matrix, compromising structural integrity and accelerating tissue loss. Evidence indicates that MMPs and cysteine cathepsins act synergistically under erosive conditions, amplifying collagen breakdown and hindering remineralization.

Following PRISMA guidelines, electronic searches were conducted across major databases to identify in vitro, ex vivo, and clinical studies assessing proteolytic activity in eroded dentin and the impact of inhibitory strategies. The review summarizes the mechanisms of enzyme activation, spatial distribution, and interaction, and compares the efficacy of commonly investigated inhibitors, including chlorhexidine, metal ions, polyphenols, and other naturally derived compounds.

Overall, the findings highlight that targeted inhibition of proteolytic enzymes—particularly combined or dual-inhibition approaches—represents a promising adjunctive strategy for controlling dentin erosion. The review also identifies methodological limitations and research gaps, providing directions for future translational and clinical studies.
DOI: 10.5061/dryad.7d069p5
title: Data from: Large-scale manipulation of the acoustic environment can alter the abundance of breeding birds: evidence from a phantom natural gas field

description: 1. Altered animal distributions are a consequence of human expansion and
 development. Anthropogenic noise can be an important predictor of
 abundance declines near human infrastructure, yet more information is
 needed to understand noise impacts at the spatial and temporal scales
 necessary to alter populations. 2. Energy development and associated
 anthropogenic noise are globally pervasive, and expanding. For example,
 600,000 new natural gas wells have been drilled across central North
 America in less than twenty years. 3. We experimentally broadcast energy
 sector noise (recordings of compressor engines) in Southwest Idaho (USA).
 We placed arrays of speakers creating a "phantom natural gas
 field" in a large-scale experiment, and tested the effects of noise
 alone on breeding songbird abundance. To examine variation in human-caused
 noise, we broadcast two types of compressor noise, one with a slightly
 higher sound intensity and greater bandwidth than the other. 4. Our
 phantom natural gas field encompassed approximately 100 km2. We broadcast
 noise for over three continuous months, for each of two seasons, and
 quantified over 20,000 hours of background sound levels. 5. Brewer's
 sparrows (Spizella breweri) were affected by our narrowband playback,
 declining 30% 50 m from the speaker arrays. During our broadband playback,
 all species combined and Brewer's sparrows decreased 20% and 33%
 respectively at the scale of our sites (~0.5 km2; up to 400 m from speaker
 arrays). 6. Our results show the importance of incorporating the acoustic
 structure of noise when estimating the cost of noise exposure for
 populations and suggest an urgent need for noise mitigation, such as
 quieting compressor station noise, in energy extraction fields and natural
 areas broadly.
description: Phantom Gas Field bird
 abundance dataThese data were
 collected in the field and includes the bird counts from both seasons in
 2014 and 2015. Column Station refers to the name of the site (16 sites in
 2014, and 12 in 2015), Point Id refers to the specific point count
 location within the site (station):50 m count center or 250 m from the
 center. Month column indicates the month number (4=April), LEQ_median and
 L50 median refer to the monthly median sound levels, Point indicates the
 point count location in the site: 0=50 m and 1=250m, Species refers to the
 bird species: BRSP (Brewer's sparrow), HOLA (Horned lark), WEME
 (Western meadowlark), SABS (Sagebrush sparrow), SATH (Sage thrasher).
 Treatment 0=control, and treatment 1= noise site. Bird count= number of
 birds counted per point count event. Sagecover_percent=percent of
 sagebrush cover at each site.CintoMejiaetal_birddata.xlsx
DOI: 10.17632/6nt9t4bmyp.2
title: Proteolytic Enzymes in Dentin Erosion: Roles of Matrix Metalloproteinases and Cathepsins and the Effectiveness of Synthetic and Natural Inhibitors—A Systematic Review

description: This systematic review synthesizes and critically appraises the current evidence on the role of proteolytic enzymes in dentin erosion, with a specific focus on matrix metalloproteinases (MMPs) and cathepsins, and evaluates the effectiveness of synthetic and natural inhibitors in modulating their activity. Dentin erosion is a multifactorial process in which acid-mediated demineralization is exacerbated by endogenous enzymatic degradation of the exposed organic matrix, compromising structural integrity and accelerating tissue loss. Evidence indicates that MMPs and cysteine cathepsins act synergistically under erosive conditions, amplifying collagen breakdown and hindering remineralization.

Following PRISMA guidelines, electronic searches were conducted across major databases to identify in vitro, ex vivo, and clinical studies assessing proteolytic activity in eroded dentin and the impact of inhibitory strategies. The review summarizes the mechanisms of enzyme activation, spatial distribution, and interaction, and compares the efficacy of commonly investigated inhibitors, including chlorhexidine, metal ions, polyphenols, and other naturally derived compounds.

Overall, the findings highlight that targeted inhibition of proteolytic enzymes—particularly combined or dual-inhibition approaches—represents a promising adjunctive strategy for controlling dentin erosion. The review also identifies methodological limitations and research gaps, providing directions for future translational and clinical studies.
DOI: 10.7910/dvn/bgwftj
title: Replication Data for: "Opinion Change in Nonpartisan Contexts: The Case of Residential Zoning Reform"

description: The file contains all data and code necessary to reproduce the quantitative analyses in the main text and online appendices.
DOI: 10.17632/6py2fdz4zk
title: Long-term organic no-tillage onion system enhances soil enzyme activity and fertility attributes in southern Brazil-Data

description: Data from the article "Long-term organic no-tillage onion system enhances soil enzyme activity and fertility attributes in southern Brazil".
DOI: 10.17632/6py2fdz4zk.1
title: Long-term organic no-tillage onion system enhances soil enzyme activity and fertility attributes in southern Brazil-Data

description: Data from the article "Long-term organic no-tillage onion system enhances soil enzyme activity and fertility attributes in southern Brazil".
DOI: 10.5061/dryad.q53v1p4
title: Data from: Host specialisation and disparate evolution of Pyrenophora teres f. teres on barley and barley grass

description: Background Pathogens evolve in an arms race, frequently evolving virulence
 that defeats resistance genes in their hosts. Infection of multiple hosts
 may accelerate this virulence evolution. Theory predicts that host
 diversity affects pathogen diversity, with more diverse hosts expected to
 harbour more diverse pathogens that reproduce sexually. We tested this
 hypothesis by comparing the microsatellite (SSR) genetic diversity of the
 barley leaf pathogen Pyrenophora teres f. teres (Ptt) from barley
 (monoculture) and barley grass (outbreeding). We also aim to investigate
 host specificity and attempt to track virulence on two barley cultivars,
 Maritime and Keel. Results Genetic diversity in barley Ptt populations was
 higher than in populations from barley grass. Barley Ptt populations also
 had higher linkage disequilibrium levels, indicating less frequent sexual
 reproduction, consistent with the Red Queen hypothesis theory that
 genetically diverse hosts should select for higher levels of sexual
 reproduction of the pathogen. SSR analyses indicate that host-associated
 Ptt populations do not share genotypes and have independent evolutionary
 histories. Pathogenicity studies showed host specificity as
 host-associated Ptt isolates could not cross-infect hosts. Minimum
 spanning network analyses indicated two major clusters of barley Ptt. One
 cluster represents Maritime virulent and isolates from Western Australia
 (WA). Low PhiPt population differentiation between WA populations and
 those from Maritime and Keel, indicated a WA origin of the Maritime and
 Keel virulences. The main minimum spanning network cluster is represented
 by a panmictic population structure, represented by isolates from all over
 Australia. Conclusions Although barley Ptt populations are more diverse
 than barley grass Ptt populations, this may be a result of the size and
 number of founder Ptt populations to Australia, with larger and more
 barley Ptt populations introduced. More frequent sexual reproduction of
 Ptt on barley grass support the Red Queen Hypothesis and suggest
 evolutionary potential of pathogens on diverse hosts are high. Extensive
 gene flow of Ptt between regions in Australia is suggested to maintain a
 panmictic population structure, with human-mediated dispersal aiding in
 virulence evolution of Ptt on barley.
description: SSR data for 27
 populations of P. teres fsp teres from barley and barley
 grass17 SSR loci, 27
 populations from barley and barley grass. Data in GenAlex
 format.Ptall_BMC.xlsx
DOI: 10.17632/bddsby9w3v
title: PLS-SEM DATA-12F-344

description: This dataset has been used for PLS-SEM in "From Dynamic Capabilities to Resilience: The Role of Organisational Learning in Equipment-Intensive Infrastructure Organisations"
DOI: 10.17632/bddsby9w3v.2
title: PLS-SEM DATA-12F-344

description: This dataset has been used for PLS-SEM in "From Dynamic Capabilities to Resilience: The Role of Organisational Learning in Equipment-Intensive Infrastructure Organisations"