cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.3r2280gkn
title: Data from: Nasty neighbours in the Neotropics: seasonal variation in physical and vocal aggressions in a montane forest songbird, the Grey-browed Brushfinch

description: Many territorial animals exhibit differences in their responses against
 intruders based on the level of threat that they pose. The dear-enemy and
 the nasty-neighbour effects refer to situations in which territorial
 aggressions are stronger against stranger and neighbour individuals,
 respectively. Using playback experiments during pre-breeding and
 post-breeding seasons in a songbird from Neotropical montane forests
 (Grey-browed Brushfinch, Arremon assimilis), we found that males exhibit
 the nasty-neighbour effect because they responded more aggressively
 towards neighbours than to strangers. However, territorial behaviour
 varied seasonally: (1) aggressions to all intrusions by neighbours were
 equally strong regardless of the location from which they were perceived
 prior to reproduction and (2) individuals were more aggressive towards
 neighbour males when perceived at a different border of their territory to
 the one they share during the post-breeding season. We conclude that
 territorial males respond to neighbours by assessing their threat to
 paternity and territoriality and thus modulate their aggressive response
 based on the season. In contrast, limited responses to strangers suggest
 that these individuals do not represent a serious threat to males of A.
 assimilis during the seasons we studied them. Thus, territorial
 aggressions against neighbours appear to be a mate-guarding mechanism in
 this species. Our results differ from those found in temperate zones,
 where strangers often elicit responses indicating they may represent a
 stronger threat than neighbours. Additional studies on the behavioral
 ecology of tropical birds are required to understand the generality of
 nasty-neighbour effects and the drivers of territorial behaviors.
description: All analyses and graphing were performed in the statistical
 software R. The necessary packages are mentioned in each script.
DOI: 10.5061/dryad.5dv41ns8v
title: Experimental evidence that cuckoos choose host nests following an egg matching strategy

description: The arms race between brood parasites and their hosts provides a classic
 model to study coevolution. Hosts often learn to recognize and remove the
 parasitic egg from their clutch. To avoid egg rejection, brood parasites
 should select host nests in which the colour of the eggs best matches that
 of their own. Although this hypothesis has received some support, direct
 experimental evidence is still lacking. Here, we report on a study of
 Daurian redstarts (Phoenicurus auroreus), a species showing a distinct egg
 colour dimorphism, with females laying either blue or pink eggs. Redstarts
 are often parasitized by common cuckoos (Cuculus canorus), which lay light
 blue eggs. First, we show that cuckoo eggs were more similar in spectral
 reflectance to the blue than to the pink redstart egg morph. Second, we
 report that the natural parasitism rate was higher in blue than in pink
 host clutches. Third, we performed a field experiment in which we
 presented a dummy clutch of each colour morph close to active redstart
 nests. In this setup, cuckoos almost always chose to parasitize a blue
 clutch. Our results demonstrate that cuckoos actively choose redstart
 nests in which the egg colour matches the colour of their own eggs. Our
 study thus provides direct experimental evidence in support of the egg
 matching hypothesis.
DOI: 10.5061/dryad.63xsj3v5n
title: Experimental evidence that leaf litter decomposability and flammability are decoupled across gymnosperm species

description: 1. Biological decomposition and wildfire are two predominant and
 alternative processes that can mineralize organic C in forest litter.
 Currently, the relationships between decomposition and fire are still
 poorly understood. 2. We provide an empirical test of the hypothesized
 decoupling of surface litter bed decomposability and flammability, and the
 underlying traits and trait spectra. 3. We employed a 41-species set of
 gymnosperms of very broad evolutionary and geographic spread, because of
 the wide range of (absent to frequent) fire regimes they are associated
 with. 4. We found that the interspecific pattern of mass loss proportions
 in a “common garden” decomposition experiment was not correlated with any
 of the flammability parameters and an RDA analysis also showed that the
 decomposability and flammability of leaf litter were decoupled across
 species. This decoupling originates from the former depending mostly on
 SSS traits and the latter on PES traits and those trait spectra being
 virtually uncorrelated. 5. Synthesis. Our results show that, indeed, leaf
 litter decomposability and flammability parameters are decoupled across
 species, and this decoupling can be explained by their different drivers
 in terms of trait spectra: chemical traits for decomposability and
 size-shape traits for flammability.
DOI: 10.15468/dl.f2hqhw
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ezoloba macrocarpa",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003315-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.jwstqjqdc
title: Data for: Adapting small jumping robots to compliant environments

description: Jumping animals launch themselves from surfaces that vary widely in
 compliance from grasses and shrubs to tree branches. However, studies of
 robotic jumpers have been largely limited to those jumping from rigid
 substrates. In this paper, we leverage recent work describing how latches
 in jumping systems can mediate the transition from stored potential energy
 to kinetic energy. By including a description of the latch in our system
 model of both the jumper and compliant substrate, we can describe
 conditions in which a jumper can either lose energy to the substrate or
 recover energy from the substrate resulting in an improved jump
 performance. Using our mathematical model, we illustrate how the latch
 plays a role in the ability of a system to adapt its jump performance to a
 wide range of substrates that vary in their compliance. Our modeling
 results are validated using a 4 g jumper with a range of latch designs
 jumping from substrates with varying mass and compliance. Finally, we
 demonstrate the jumper recovering energy from a tree branch during
 take-off, extending these mechanistic findings to robots interacting with
 a more natural environment.
description: The dataset has been collected through two methods: mathematical
 modeling and physical validation. Data pertaining to simuation results of
 the mathematical model is obtained through MATLAB simulations. Data
 pertaining to experimental validation is collected through high-speed
 camera videography and subsequently processed using MATLAB.
description: Required software is MATLAB.
DOI: 10.5061/dryad.mw6m9060r
title: Sanger sequences of marpissoid salticids for Kelawakaju placement

description: The genus Kelawakaju Maddison &
 Ruiz, gen. nov., is described for a lineage of bark-dwelling
 Asian marpissine jumping spiders that represent a dispersal to Eurasia
 separate from that of the Marpissa-Mendoza lineage,
 according to the phylogeny recovered from analysis of four gene regions.
 All of the species of Kelawakaju are new
 except K. frenata (Simon, 1901), comb. nov., which is
 here transferred from Ocrisiona Simon, 1901. K.
 frenata is known from Hong Kong, Guangdong, Guangxi, and likely
 Taiwan. The five new species are Kelawakaju
 mulu Maddison & Ruiz (type species
 of Kelawakaju, from Sarawak, Malaysia, ♂♀), K.
 intexta Maddison & Ruiz (from Sarawak, ♂), K.
 leucomelas Maddison & Ng (Singapore and Johor Bahru,
 ♂♀), K. sahyadri Vishnudas, Maddison, &
 Sudhikumar (India, ♂♀), and K. singapura Maddison & Ng
 (Singapore, ♂♀), all sp. nov.
description: Traditional PCR - Sanger sequenced, base called with Phred/Phrap
 and manually, aligned with MAFFT.
description: NEXUS format; written by Mesquite.
DOI: 10.5061/dryad.2v6wwpzsb
title: Data from: Aging and memory are altered by genetically manipulating lactate dehydrogenase in the neurons or glia of flies

description: The astrocyte-neuron lactate shuttle hypothesis posits that
 glial-generated lactate is transported to neurons to fuel metabolic
 processes required for long-term memory. Although studies in vertebrates
 have revealed that lactate shuttling is important for cognitive function,
 it is uncertain if this form of metabolic coupling is conserved in
 invertebrates or is influenced by age. Lactate dehydrogenase (Ldh) is a
 rate-limiting enzyme that interconverts lactate and pyruvate. Here we
 genetically manipulated expression of Drosophila melanogaster lactate
 dehydrogenase (dLdh) in neurons or glia to assess the impact of altered
 lactate metabolism on invertebrate aging and long-term courtship memory at
 different ages. We also assessed survival, negative geotaxis,
 brain-neutral lipids (the core component of lipid droplets), and whole
 head metabolites. Both upregulation and downregulation of dLdh in neurons
 resulted in decreased survival and memory impairment with age. Glial
 downregulation of dLdh expression caused age-related memory impairment
 without altering survival, while upregulated glial dLdh expression lowered
 survival without disrupting memory. Both neuronal and glial dLdh
 upregulation increased neutral lipid accumulation. We provide evidence
 that altered lactate metabolism with age affects the tricarboxylic acid
 (TCA) cycle, 2-hydroxyglutarate (2HG), and neutral lipid accumulation.
 Collectively, our findings indicate that the direct alteration of lactate
 metabolism in either glia or neurons affects memory and survival but only
 in an age-dependent manner. 
description: Survival, negative geotaxis climbing ability, and courtship
 conditioning were assessed in adult <em>Drosophila
 melanogaster</em> males of various ages and genotypes.
 Extracts from heads of adult <em>Drosophila
 melanogaster</em> males of various ages and genotypes were used for
 western blot and metabolite analysis using gas chromatography-mass
 spectroscopy.  Whole brains from
 adult <em>Drosophila melanogaster</em> males of various
 genotypes were used for Nile red staining and imaging fluorescence with
 confocal microscopy. Full method details are provided
 in "Aging and memory are altered by genetically manipulating lactate
 dehydrogenase in the neurons or glia of flies."
description: Software used included GraphPad Prism version 9.3.1 (GraphPad
 Software, RRID:SCR_002798), Image Lab (Bio-Rad, RRID:SCR_014210),
 MassHunter Quantitative software( Agilent, RRID:SCR_015040), ZEN Digital
 Imaging for Light Microscopy (Zeiss,RRID:SCR_013672), and FIJI-ImageJ
 (RRID:SCR_002285).
DOI: 10.5061/dryad.12jm63z23
title: Comparative analysis of health authorities spokesperson and health influencer during the COVID-19 pandemic: A case in Indonesia

description: Background: Concerns over an infodemic following a surge in health
 misinformation circulating on social media sets out the government's
 priority for Indonesia. Given the urgent work on the coronavirus disease
 2019 (COVID-19) response, the government collaborated with health-related
 spokespersons and influencers with a medical background by starting a
 COVID-19 public education campaign on social media. A collaborative
 initiative involved health spokespersons from government and
 non-government to clarify misinformation about COVID-19. Methods: The
 primary purpose of this research is to compare government and
 non-government spokespersons by examining their role in educating about
 the COVID-19 vaccine and health services. This study employed comparative
 factor analysis and non-participatory observation toward the media
 activity of spokespersons in Indonesia. Using a questionnaire, this study
 examines the dimensions of public campaigns, risk communication, health
 and emergency, leadership, and communication from Indonesian
 spokespersons. The data collection was conducted in two stages. The first
 stage was a pilot study that collected data from 102 respondents, the
 second stage collected data from 276 respondents. Results: Findings show
 that utilizing the spokesperson is important due to its capabilities of
 reaching diverse audiences, and improving public engagement,
 trustworthiness, and credibility. Conclusions: With the combination of
 health authorities spokespersons and health influencers in Indonesia, this
 study provides valuable insights for communication management in
 developing and supporting the role of health authorities from the
 government, non-government as well as medical sectors.
description: The data collection was
 conducted in two phases: The first phase was a pilot study that collected
 data from 102 respondents, and the second phase collected
 data from 276 respondents. Respondents mainly were enrolled through an
 online survey form in Spring 2022. 
 Participation in the survey
 was voluntary and unpaid.
description: Microsoft Excel  Microsoft Word 
 Tableu: software to visualize data
DOI: 10.5061/dryad.1rn8pk0xv
title: Higher temperature variability in deforested mountain regions impacts the competitive advantage of nocturnal species

description: Deforestation is a major contributor to biodiversity loss, yet the impact
 of deforestation on daily microclimate variability and its implications
 for species with different daily activity patterns remain poorly
 understood. Using a recently developed microclimate model, we investigated
 the effects of deforestation on the daily temperature range (DTR) in
 low-elevation tropical areas and high-elevation temperate areas. Our
 results show that shade loss due to deforestation substantially increases
 DTR in these areas, suggesting a potential impact on species interactions.
 To test this hypothesis, we studied the competitive interactions between
 nocturnal burying beetles and all-day active blowfly maggots in forested
 and deforested habitats in Taiwan. We show that deforestation leads to
 increased DTR at higher elevations, which enhances the competitiveness of
 blowfly maggots during the day and leads to a higher failure rate of
 carcass burial by the beetles at night. Thus, deforestation-induced
 temperature variability not only modulates exploitative competition
 between species with different daily activity patterns but also likely
 exacerbates the negative impacts of climate change on nocturnal organisms.
 Our study highlights the need to protect forests, especially in areas
 where deforestation can greatly alter temperature variability, in order to
 prevent potential adverse effects on species interactions and their
 ecological functions.
description: All the datasets were collected during the field and lab studies
 "Higher temperature variability in deforested mountain regions
 impacts the competitive advantage of nocturnal species." In the
 study, we conducted field experiments in the forests and cultivated
 habitats along the elevational gradient in Mt. Hehuan in Taiwan. The
 experiments test the outcomes of the competition between burying beetles
 and blowflies by providing rat carcasses in the fields and recording
 whether the beetles can successfully secure (i.e., bury) the carcass. We
 also monitored the environmental temperature in each study site using an
 iButton datalogger. We also conducted lab experiments to measure the
 beetles' thermal performance and the blowflies' competitive
 ability in various thermal conditions.
description: All data can be opened using R.
DOI: 10.5281/zenodo.18401570
title: 福岡県柳川市方言の自然談話(海苔の養殖をしていたころの話)/Natural discourse in the Yanagawa City dialect of Fukuoka Prefecture (A story from when I used to cultivate seaweed)

description: 音声・注釈付き談話資料: 海苔の養殖をしていたころの話

メタデータ:

調査日:20220612

録音・書き起こし:松岡葵

話者:HK (1933年生まれ, 女性, 柳川市昭代)

 

Fully annotated narrative text with sound files: A story from when HK used to cultivate seaweed.

Meta data:

data recorded 20220612

data recorded and annotated by Aoi Matsuoka

data from HK (born in 1933, female, Shodai, Yanagawa)
DOI: 10.5061/dryad.w3r2280v5
title: Data from: The advantage of male-biased flower production in andromonoecious plants under intensive predispersal seed predation

description: 1) Not only mutualistic plant–pollinator interactions but also
 antagonistic plant–herbivore interactions can be a selective force on sex
 allocation in angiosperms. In this study, we investigate how predispersal
 seed predation affects the reproductive success and floral gender of
 andromonoecious herbs on a natural snowmelt gradient. 2) The developing
 fruits of an alpine herb (Peucedanum multivittatum: Apiaceae) were
 intensively predated by lepidopteran larvae (Phaulernis fulviguttella:
 Epermeniidae) in the early-snowmelt populations, where flowering occurred
 from mid to late July. In the late-snowmelt populations, where flowering
 occurred after early August, seed predation was negligible due to the
 oviposition of the predator moths being concentrated in early summer. The
 moths tended to oviposit on plants with more perfect flowers and taller
 inflorescences, whereas the number of male flowers was independent of
 their oviposition preference.  3) Responding to the oviposition
 behavior, the proportion of male flowers was the largest and floral stems
 were the shortest in the early-snowmelt population suffering from
 intensive predation damage. The contribution of perfect flowers to intact
 seed production significantly decreased with earlier flowering along the
 snowmelt gradient. Fitness measurements using genetic markers revealed
 that the increase in flower number resulted in greater success as a pollen
 donor within a population. Thus, plants can ameliorate the risk of
 predation damage to sired seeds by wider pollen dispersal. 
 4) Synthesis: Taken together, the greater production of
 male flowers at the expense of perfect flowers is advantageous under
 intensive predation pressure owing to the reduction of predation damage
 (female fitness) and the improvement of siring success (male fitness).
 These results revealed that predispersal seed predation acts as a
 selective force that promotes male-biased sex allocation in
 andromonoecious plants.
DOI: 10.5281/zenodo.18401569
title: 福岡県柳川市方言の自然談話(海苔の養殖をしていたころの話)/Natural discourse in the Yanagawa City dialect of Fukuoka Prefecture (A story from when I used to cultivate seaweed)

description: 音声・注釈付き談話資料: 海苔の養殖をしていたころの話

メタデータ:

調査日:20220612

録音・書き起こし:松岡葵

話者:HK (1933年生まれ, 女性, 柳川市昭代)

 

Fully annotated narrative text with sound files: A story from when HK used to cultivate seaweed.

Meta data:

data recorded 20220612

data recorded and annotated by Aoi Matsuoka

data from HK (born in 1933, female, Shodai, Yanagawa)
DOI: 10.5061/dryad.1jwstqjzf
title: Inbreeding measures (FROH) and racing phenotypes in North American thoroughbred horses

description: We quantified inbreeding based on runs of homozygosity (FROH) using 333K
 SNP genotypes from 768 Thoroughbred horses born in North America to
 evaluate the effect of inbreeding on racing traits. Among North American
 horses, FROH was not associated (P = 0.518) with the probability of ever
 racing but was significantly associated with the number of race starts (P
 = 0.002). Among raced horses, those with a 10% higher FROH than the mean
 inbreeding coefficient were predicted to have 3.5 fewer race starts
 compared to horses with a mean inbreeding coefficient.
description: We quantified inbreeding based on runs of homozygosity (FROH)
 using 333K SNP genotypes from 768 Thoroughbred horses born in North
 America.
DOI: 10.5061/dryad.2rbnzs7rw
title: Fractional factorial assessment of the effects of missingness

description: This submission contains the data (in .csv and .mat format) and source
 code (.m file compatible with MATLAB) to reproduce the analysis of the
 bone marrow data in Section 4. It also contains a README file explaining
 the variable names. The source code replaces missing entries by
 combinations of high and low values according to a fractional factorial
 structure for the estimation of the main effects of missingness and fits a
 logistic regression model using each of the resulting sets of
 factorially-completed covariate data. Estimated regression coefficients
 and their standard errors are stored, and the effects of missingness
 presented as in Tables 2 and 3 of the paper.
DOI: 10.5061/dryad.wh70rxwrh
title: Assessing predictive performance of supervised machine learning algorithms for a diamond pricing model

description: The diamond is 58 times harder than any other mineral in the world, and
 its elegance as a jewel has long been appreciated. Forecasting diamond
 prices is challenging due to nonlinearity in important features such as
 carat, cut, clarity, table, and depth. Against this backdrop, the study
 conducted a comparative analysis of the performance of multiple supervised
 machine learning models (regressors and classifiers) in predicting diamond
 prices. Eight supervised machine learning algorithms were evaluated in
 this work including Multiple Linear Regression, Linear Discriminant
 Analysis, eXtreme Gradient Boosting, Random Forest, k-Nearest Neighbors,
 Support Vector Machines, Boosted Regression and Classification Trees, and
 Multi-Layer Perceptron. The analysis is based on data preprocessing,
 exploratory data analysis (EDA), training the aforementioned models,
 assessing their accuracy, and interpreting their results. Based on the
 performance metrics values and analysis, it was discovered that eXtreme
 Gradient Boosting was the most optimal algorithm in both classification
 and regression, with a R2 score of 97.45% and an Accuracy value of 74.28%.
 As a result, eXtreme Gradient Boosting was recommended as the optimal
 regressor and classifier for forecasting the price of a diamond specimen.
description: Kaggle, a data repository with thousands of datasets, was used in
 the investigation. It is an online community for machine learning
 practitioners and data scientists, as well as a robust, well-researched,
 and sufficient resource for analyzing various data sources. On Kaggle,
 users can search for and publish various datasets. In a web-based
 data-science environment, they can study datasets and construct
 models.
description: The data can be accessed using Microsoft excel, R and python