cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.x95x69pm2
title: A review of existing and potential blue carbon contributions to climate change mitigation in the Anthropocene

description: The atmosphere concentration of CO2 is steadily increasing and causing
 climate change. To achieve the Paris 1.5 or 2 oC target, negative
 emissions technologies must be deployed in addition to reducing carbon
 emissions. The ocean is a large carbon sink but the potential of marine
 primary producers to contribute to carbon neutrality remains unclear. Here
 we review the alterations to carbon capture and sequestration of marine
 primary producers (including traditional ‘blue carbon’ plants, microalgae,
 and macroalgae) in the Anthropocene, and, for the first time, assess and
 compare the potential of various marine primary producers to carbon
 neutrality and climate change mitigation via biogeoengineering approaches.
 The contributions of marine primary producers to carbon sequestration have
 been decreasing in the Anthropocene due to the decrease in biomass driven
 by direct anthropogenic activities and climate change. The potential of
 blue carbon plants (mangroves, saltmarshes, and seagrasses) is limited by
 the available areas for their revegetation. Microalgae appear to have a
 large potential due to their ubiquity but how to enhance their carbon
 sequestration efficiency is very complex and uncertain. On the other hand,
 macroalgae can play an essential role in mitigating climate change through
 extensive offshore cultivation due to higher carbon sequestration capacity
 and substantial available areas. This approach seems both technically and
 economically feasible due to the development of offshore aquaculture and a
 well-established market for macroalgal products. Synthesis and
 applications: This paper provides new insights and suggests promising
 directions for utilizing marine primary producers to achieve the Paris
 temperature target. We propose that macroalgae cultivation can play an
 essential role in attaining carbon neutrality and climate change
 mitigation, although its ecological impacts need to be assessed further.
description: To calculate the parameters
 presented in Table 1, the relevant keywords "mangroves, salt marshes,
 macroalgae, microalgae, global area, net primary productivity, CO2
 sequestration" were searched through the ISI Web of Science and
 Google Scholar in July 2021. Recent data published after 2010 were collected
 and used since area and productivity of plants change with decade. For
 data with limited availability, such as net primary productivity (NPP) of
 seagrasses and global area and NPP of wild macroalgae, data collection was
 extended back to 1980. Total NPP and CO2 sequestration for mangroves, salt
 marshes, seagrasses and wild macroalgae were obtained by the
 multiplication of area and NPP/CO2 sequestration density and subjected to
 error propagation analysis. Data were expressed as means ± standard error.
DOI: 10.5061/dryad.fttdz08vm
title: Data from: Tree species with conservative foliar nutrient status and strong phosphorus homeostasis are regionally abundant in subtropical forests

description: Foliar nitrogen (N) or phosphorus (P) status and their stoichiometric
 homeostasis are integral parts of the plant nutrient economy that
 determines the success of plant species in environments where N or P
 limits plant growth. Despite growing evidence for higher
 predictability of stoichiometric homeostasis of N (HN) than that of P (HP)
 on plant species abundance in temperate grasslands, no previous studies
 explicitly examined how foliar N and P status modulate the relationships
 between stoichiometric homeostasis and species distribution
 (regional species abundance) of woody plants, especially in P-limited
 (sub)-tropical ecosystems. We hypothesized that species with a
 conservative foliar nutrient status but a higher HP (but not HN) would be
 regional abundant in P-limited forest. We measured foliar N (LNC) and P
 (LPC) contents of 54 woody species, community composition and soil N and P
 contents across 94 forest plots in Chinese subtropical forests. Then we
 evaluated the species’ levels of N and P stoichiometric homeostasis and
 their regional abundance to test our hypotheses. HN and HP significantly
 increased with decreasing LNC and LPC. Foliar nutrient status positively
 correlated with the minimum values of both soil N and P contents, but only
 negatively associated with the maximum value of soil P content, indicating
 that conservative species can occupy a wider range of soil P- than N-based
 nutrient niche. Meanwhile, species abundance negatively correlated with
 LNC and LPC, and positively correlated with HN and HP.
 However, the structure equation model analysis showed that species
 abundance increased with decline of LNC but not yet with increased HN. In
 contrast, species abundance enhanced with increased HP and decreased LPC
 via HN, rather than directly with a decline of LPC. Synthesis.
 This study provides empirical evidence that species with conservative
 foliar nutrient status are more stable in terms of N and P stoichiometric
 homeostasis, and foliar N and P economy modulate species abundance
 distribution in different ways. Our results suggest that maintaining
 strong stoichiometric homeostasis of leaf P, while maintaining
 conservative economy of N, is a key physiochemical mechanism for shaping
 species abundance distribution in P-limited forests.
description: The dataset includes the
 measured data of foliar N
 (LNC) and P (LPC) contents of 54 woody species and soil N and P
 contents that the species
 distributed in Chinese
 subtropical forests. Besides we estimated the N homeostasis  (<em>H</em><sub>N</sub>)
 for 45 and
 P homeostasis  (<em>H</em><sub>P</sub>) for 36 of these species and their regional species abundance for testing how foliar N and P status and their stoichiometric homeostasis of woody plants affect regional species abundance distribution.
description: For additional information, please email Hang Ci or Enrong Yan
 (cihangcaf@163.com, eryan@des.ecnu.edu.cn).
DOI: 10.5061/dryad.ttdz08m1j
title: High MHC diversity confers no advantage for phenotypic quality and reproductive performance in a wild bird

description: Genes of the major histocompatibility complex (MHC) encode antigen binding
 molecules and are an integral part of the acquired immune response of
 vertebrates. In general, high individual MHC diversity is expected to
 increase fitness by broadening the spectrum of pathogens recognized by the
 immune system, in accordance with the heterozygote advantage mechanism. On
 the other hand, the optimality hypothesis assumes that individuals with
 optimal (intermediate), rather than maximum diversity of the MHC will
 achieve the highest fitness because of inherent costs associated with
 expressing diverse MHC alleles. Here, we tested for associations between
 individual diversity of the MHC class I and class II genes (binding
 antigens of intra- and extra-cellular pathogens, respectively) and a range
 of fitness-related traits (condition, ornament expression and
 reproduction) in an urban population of the Eurasian coot Fulica atra.
 Contrary to our expectation, we found that high within-individual allelic
 diversity of MHC genes (both class I and II) was associated with poorer
 condition (lower blood haemoglobin concentrations), weaker expression of
 the putative ornament (smaller frontal shield), later onset of breeding
 and smaller clutches. An analysis of functional MHC allele clusters
 (supertypes) provided further support for negative associations of MHC
 diversity with phenotypic quality and reproductive performance, but most
 of these relationships could not be explained by the presence of specific
 maladaptive supertypes. Finally, we found little empirical support for the
 optimality hypothesis in the Eurasian coot. Our results suggest that the
 costs of high MHC diversity outweighed any benefits associated with broad
 MHC repertoire, which could be driven by depauperate pathogen diversity in
 an urban landscape. To the best of our knowledge, this is one of the first
 studies providing consistent evidence for negative associations of MHC
 diversity with a range of fitness-related traits in a natural avian
 population.
DOI: 10.5061/dryad.xsj3tx9hm
title: The landscape of fear has individual layers: an experimental test of among-individual differences in perceived predation risk during foraging

description: Perceived predation risk varies in space and time creating a landscape of
 fear. This key feature of an animal’s environment is classically studied
 as a species-specific property. However, individuals differ in how they
 solve the trade-off between safety and reward and may, hence, differ
 consistently and predictively in perceived predation risk across
 landscapes. To test this hypothesis, we quantified among-individual
 differences in boldness and activity and exposed behaviourally phenotyped
 male bank voles (Myodes glareolus) individually to two different
 experimental landscapes of risks in large outdoor enclosures and provided
 resources as discrete food patches. We manipulated perceived predation
 risk via vegetation height between 2 and &gt;30 cm and quantified
 patch use indirectly via RFID-logging and giving-up densities. We
 statistically disentangled among-individual differences in microhabitat
 use from spatially varying perceived risk, i.e. landscape of
 fear.  We found that individuals varied in mean vegetation height
 of their foraging microhabitats and that this microhabitat selection
 matched the intrinsic individual differences in perceived risk. As
 predicted by the patch use model, all individual’s perceived higher risks
 when foraging in lower vegetation. However, individuals differed in their
 reaction norm slopes of perceived risk to vegetation height, and these
 differences in slopes were consistent across two different landscapes of
 risks and resources. We interpret these results as evidence for individual
 landscapes of fear, which could be predicted by among-individual
 differences in activity and boldness. Since perceived predation risk
 affects when and where to forage, among-individual differences in fear
 responses could act as a mode of intraspecific niche complementarity (i.e.
 individual niche specialization), help explain behavioural type by
 environment correlations, and will likely have cascading indirect effects
 on lower trophic levels.
description: Please see accompanying paper.
DOI: 10.5061/dryad.6m905qg22
title: Interactions among multiple stressors vary with exposure duration and biological response

description: Coastal ecosystems are exposed to multiple anthropogenic stressors.
 Effective management actions would be better informed from generalized
 predictions of the individual, combined and interactive effects of
 multiple stressors; however, few generalities are shared across different
 meta-analyses. Using an experimental study, we present an approach for
 analysing regression-based designs with generalized additive models that
 allowed us to capture nonlinear effects of exposure duration and stressor
 intensity and access interactions among stressors. We tested the approach
 on a globally distributed marine diatom, using 72 h photosynthesis and
 growth assays to quantify the individual and combined effects of three
 common water quality stressors; photosystem II-inhibiting herbicide
 exposure, dissolved inorganic nitrogen (DIN) enrichment and reduced light
 (due to excess suspended sediment). Exposure to DIN and reduced light
 generally resulted in additivity, while exposure to diuron and reduced
 light resulted in additive, antagonistic or synergistic interactions,
 depending on the stressor intensity, exposure period and biological
 response. We thus find the context of experimental studies to be a primary
 driver of interactions. The experimental and modelling approaches used
 here bridge the gap between two-way designs and regression-based studies,
 which provides a way forward to identify generalities in multiple stressor
 interactions.
description: This raw dataset was collected through a series of laboratory
 exposure experiments - see Supplementary Material, section 'S1.
 Methods for laboratory-based experimental work'.
 The data was processed using Microsoft Excel and R statistical
 software (versionn 4.1.0).
description: Scripts and data to perform the
 analyses can also be found at: https://github.com/oliviakpj/Changing_multistressor_interactions
DOI: 10.15468/dl.sn2d97
title: Occurrence Download

description: A dataset containing 6241 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Melanitis phedima"
 ]
}

 The dataset includes 6241 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003092-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18399965
title: Full sampling dataset, location information, and co-occurrence data for "Wild bees as indicators for landscape composition and bee diversity in anthropogenic environments"

description: Data and appendices for "Wild bees as indicators for landscape composition and bee diversity in anthropogenic environments"
DOI: 10.15468/dl.3cqkcj
title: Occurrence Download

description: A dataset containing 93183 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "OccurrenceStatus is Present",
 "TaxonKey is Boloria selene"
 ]
}

 The dataset includes 93183 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003091-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.41ns1rngf
title: Opinion dynamics in social network under competition: the role of influencing factors in consensus reaching

description: The profitability of opinion and the finiteness of individual attention
 have already spawned the extensive competition for individual preferences
 on social networks. It's quite necessary to investigate the opinion
 dynamics over social networks in a competitive environment. To this point,
 this paper develops a novel social network DeGroot model based on
 competition game (DGCG) to characterize the opinion evolution in a
 competitive opinion dynamics. Based on the DGCG model, we obtain
 equilibrium results in the stable state of opinion evolution.
 Consecutively, we analyze what role relevant factors play in the final
 consensus and competitive outcomes, including the resource ratio of both
 contestants, initial opinions and network structure. Theoretical analyses
 and simulation experiments show that these factors can significantly sway
 the consensus and even reverse competition outcomes.
description: These codes are used for the numerical simulations of our
 paper.
DOI: 10.5281/zenodo.18399964
title: Full sampling dataset, location information, and co-occurrence data for "Wild bees as indicators for landscape composition and bee diversity in anthropogenic environments"

description: Data and appendices for "Wild bees as indicators for landscape composition and bee diversity in anthropogenic environments"
DOI: 10.5281/zenodo.17937695
title: Database experimental data "Characterization of turbulent multiphase particle mass transfer in gas-liquid flows"

description: ## DATABASE EXPERIMENTAL DATA "CHARACTERIZATION OF TURBULENT MULTIPHASE PARTICLE MASS TRANSFER IN GAS-LIQUID FLOWS"Reference Open-Access journal publication: Alvaro Ramos Perez, Terttaliisa Lind, Victor Petrov, Annalisa Manera, Horst-Michael Prasser, Characterization of turbulent multiphase particle mass transfer in gas-liquid flows, International Journal of Heat and Mass Transfer, vol. 234, p. 126044, Dec. 2024, doi:10.1016/j.ijheatmasstransfer.2024.126044.

## WMS DATA"README_WMS.txt": Description of data matrix "WMS.csv" and data format "WMS.zip"

## AEROSOL DATA"README_Aerosol.txt": Description of data matrix "Aerosol.csv" and data format "Aerosol.zip"
DOI: 10.5281/zenodo.17937696
title: Database experimental data "Characterization of turbulent multiphase particle mass transfer in gas-liquid flows"

description: ## DATABASE EXPERIMENTAL DATA "CHARACTERIZATION OF TURBULENT MULTIPHASE PARTICLE MASS TRANSFER IN GAS-LIQUID FLOWS"Reference Open-Access journal publication: Alvaro Ramos Perez, Terttaliisa Lind, Victor Petrov, Annalisa Manera, Horst-Michael Prasser, Characterization of turbulent multiphase particle mass transfer in gas-liquid flows, International Journal of Heat and Mass Transfer, vol. 234, p. 126044, Dec. 2024, doi:10.1016/j.ijheatmasstransfer.2024.126044.

## WMS DATA"README_WMS.txt": Description of data matrix "WMS.csv" and data format "WMS.zip"

## AEROSOL DATA"README_Aerosol.txt": Description of data matrix "Aerosol.csv" and data format "Aerosol.zip"
DOI: 10.5061/dryad.41ns1rngg
title: Intra-annual species gain overrides species loss in determining species richness in a typical steppe ecosystem after a decade of nitrogen enrichment

description: Increasing deposition of atmospheric nitrogen (N) due to accelerated human
 activities is a threat to various ecosystems. However, there is a lack of
 long-term experimental evidence demonstrating the seasonal dynamics of
 plant species turnover that ultimately determine species richness in
 natural ecosystems under N enrichment. Moreover, the frequency of N
 addition also may affect species turnover in a community, but it is rarely
 studied. To assess the responses of a plant community to N addition, we
 manipulated the amounts (0-50 g N m-2 year-1) and frequency (2
 vs. 12 times year-1) of N addition in an Inner Mongolian typical steppe
 ecosystem in northern China for 12 consecutive years (2008-2020). We
 measured species richness and density of plant in the growing seasons
 (May-September) from 2018 to 2020, starting 10 years after the initial N
 addition treatment. Both species gain and species loss decreased
 with increasing amounts of N addition, resulting in a lower plant species
 turnover rate and greater similarity in the community between two
 adjacent months throughout the growing season. Species
 loss and species gain increased modestly under high N addition
 frequency. Species gain was more important than species loss in
 determining species richness after a decade of N application. In addition,
 plant density increased at high N amounts, mainly driven by enhanced
 clonal growth of the dominant species, Leymus chinensis.
 Synthesis. Together, these results suggest that high levels of N
 deposition may suppress species richness due to aggravated soil chemical
 properties and may favor growth of a limited number of N-tolerant species
 compared to systems that experience low levels of N deposition. To
 conserve biodiversity and to facilitate restoration of degraded grassland
 ecosystems exposed to long-term N deposition, amelioration of the
 acidified soils induced by N deposition may be an important
 strategy to use.
DOI: 10.5061/dryad.dv41ns213
title: InnovAfrica project endline survey data for Ethiopia, Kenya, Malawi, Rwanda, South Africa and Tanzania

description: A consortium of 16 institutions comprising five institutions from Europe
 and eleven institutions from Africa implemented a project entitled
 "Innovations in Technology, Institutional and Extension Approaches
 towards Sustainable Agriculture and enhanced Food and Nutritional Security
 in Africa (InnovAfrica)" in six countries of eastern and southern
 Africa namely Ethiopia, Kenya, Malawi, Rwanda, South Africa and Tanzania
 from June 2017 to November 2021. The InnovAfrica project collected endline
 data from 12 pilot sites (two sites per country) in the third years of the
 project. The data collected during the Endline survey is presented in this
 document.
description: The endline data were
 collected from 12 pilot study sites comprising two sites each from
 Ethiopia, Kenya, Malawi, Rwanda, South Africa and Tanzania using
 structured questionnaire and focus group
 discussion.
description: There is no restriction to use
 these data set.
DOI: 10.5061/dryad.tx95x6b0v
title: Data from: Detecting macroevolutionary genotype-phenotype associations using error-corrected rates of protein convergence

description: On macroevolutionary timescales, extensive mutations and phylogenetic
 uncertainty mask the signals of genotype-phenotype associations underlying
 convergent evolution. To overcome this problem, we extended the widely
 used framework of nonsynonymous-to-synonymous substitution rate ratios and
 developed the novel metric ωC, which measures the error-corrected
 convergence rate of protein evolution. While ωC distinguishes natural
 selection from genetic noise and phylogenetic errors in simulation and
 real examples, its accuracy allows an exploratory genome-wide search of
 adaptive molecular convergence without phenotypic hypothesis or candidate
 genes. Using gene expression data, we explored over 20 million branch
 combinations in vertebrate genes and identified the joint convergence of
 expression patterns and protein sequences with amino acid substitutions in
 functionally important sites, providing hypotheses on undiscovered
 phenotypes. We further extended our method with a heuristic algorithm to
 detect highly repetitive convergence among computationally nontrivial
 higher-order phylogenetic combinations. Our approach allows bidirectional
 searches for genotype-phenotype associations, even in lineages that
 diverged for hundreds of millions of years.
DOI: 10.5061/dryad.3j9kd51m9
title: Heat stress can change the competitive outcome between fungi – insights from a modelling approach

description: Under a changing climate, soil fungal communities will increasingly be
 subject to periods of heat stress. These periods can affect the
 performance of individual fungi and their competition for space and
 resources. Competition between fungi is strongly controlled by the
 exudation of inhibitory compounds, resulting in different competitive
 outcomes that range from overgrowth of the inferior competitor to a
 deadlock, where the competing fungi inhibit each other. As heat stress can
 alter the competitive outcome between fungi, the community composition can
 also change strongly. So far, a general understanding of the mechanisms
 that drive the competitive outcome between fungi under heat stress is
 still missing. However, this understanding is essential to assess
 important community functions, such as decomposition or mediation of plant
 nutrition, which strongly depend on the fungal community composition.
 Here, we used a partial differential equation (PDE) model simulating two
 fungal competitors in a two-dimensional space, to mechanistically explain
 the observed change of fungal competition under heat stress. The model
 describes mycelial growth, the production and secretion of antifungal
 compounds, and the synthesis of heat shock proteins of interacting
 colonies. We found a heat stress-induced lag phase favouring the
 accumulation of antifungal compounds and the build-up of inhibitor fields.
 This led to a qualitative change of the competitive outcome, reducing the
 occurrence of overgrowth by two-thirds. The changes in competitive outcome
 favoured slower-growing species, which benefit more strongly from the
 additional time during a stress-induced lag to build up a defence or block
 territory that would otherwise be quickly claimed by faster competitors.
 Our work is an important step towards understanding how environmental
 changes may lead to qualitative changes in competitive outcomes. Our
 results show the importance of explicitly including species interactions
 into studies of climate change effects.
description: The dataset contains only simulated data, generated with a
 mathematical PDE model in Python. The model uses a set of equations to
 calculate the spread of fungal biomass along a two-dimensional (x,y)
 grid.
description: The data files are txt. files. We recommend using R to open
 them.