cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.gb5mkkwtk
title: Behavioural syndrome between boldness and aggressiveness and link with reproductive success in a wild bird population

description: Boldness, defined as the behavioural response of individuals when facing a
 risky situation, is a major personality trait and often phenotypically
 correlates with other behavioural traits, in particular aggressiveness,
 exploration behaviour and neophobia. Yet, whether such links result from
 among-individual correlations, i.e. form behavioural syndromes sensu
 stricto, is often ignored and whether such syndromes may yield individual
 fitness benefits, and thus be selected for, remains poorly explored. We
 measured boldness as the nest defence behaviour against a dummy nest
 predator in a natural population of a small passerine bird, the collared
 flycatcher, Ficedula albicollis, and investigated the existence of a
 behavioural syndrome between boldness and two other behavioural traits,
 aggressiveness (measured as the agonistic response to competitors) and
 neophobia (measured as the behavioural response to a novel object in a
 known environment). Then we assessed the links between this potential
 syndrome and reproductive success, measured as fledging and recruitment
 success. Boldness score differed between the sexes and depended on whether
 the partner was present during the test. Nevertheless, it was repeatable,
 showing that boldness can be considered as a personality trait in our
 population. We found a positive among-individual correlation between
 boldness and aggressiveness, showing the existence of a behavioural
 syndrome between both personality traits. This syndrome was related to
 reproductive success: the number of fledged young (but not recruitment
 probability) increased with one integrative value of the
 boldness–aggressiveness syndrome. Conversely, boldness score was not
 correlated with neophobia. Our results thus clearly reveal a behavioural
 syndrome between boldness and aggressiveness with possible consequences
 for reproductive success in the study population, and therefore raise the
 question of the evolutionary implications of such a behavioural syndrome.
description: The dataset was collected during several field word between 2011
 and 2014 at the Island of Gotland (Sweden) where the population of
 collared flycatcher was monitored since 1980s. We performed univariate and
 bivariate Bayesian model (MCMCglmm) to identify the presence of a boldness
 trait and of behavioural syndrome between this latter and two others
 behavioural traits. Moreover we studied the link between the reproductive
 success and the aggressiveness-boldness syndrome in order to produce a MS
 accepted for publication in Animal Behaviour.
DOI: 10.15468/dl.zgaa7k
title: Occurrence Download

description: A dataset containing 715 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Goodia lotifolia",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 715 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003447-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.xsj3tx9kf
title: Code and data from: A hierarchical approach for estimating state-specific mortality and state transition in dispersing animals with incomplete death records

description: Unbiased mortality estimates are fundamental for testing ecological and
 evolutionary theory as well as for developing effective conservation
 actions. However, mortality estimates are often confounded by dispersal,
 especially in studies where dead-recovery is not possible. In such
 instances, missing individuals (i.e. individuals with unobserved time of
 death) may have died or permanently emigrated from a study area, making
 inferences about their fate difficult. Mortality before and during
 dispersal, as well as the decision to disperse, usually depend on a suite
 of individual, social, and environmental covariates, which in turn can be
 used to draw conclusions about the fate of missing individuals.Here, we
 propose a Bayesian hierarchical model that takes into account time-varying
 covariates to estimate transitions between life-history states and
 mortality in each state using mark-resighting data with missing
 individuals. Specifically, our framework estimates mortality rates in two
 states (resident and dispersing state) by treating the fate of missing
 individuals as a latent (i.e. unobserved) variable that is statistically
 inferred based on information from individuals with a known fate and given
 the individual, social, and environmental conditions at the time of
 disappearance. Our model also estimates rates of state transition (i.e.
 emigration) to assess whether a missing individual was more likely to have
 died or survived due to unobserved emigration from the study area. We used
 simulations to check the validity of our model and assessed its
 performance with data of varying degrees of uncertainty. Our modeling
 framework provided accurate mortality and emigration estimates for
 simulated data of different sample sizes, proportions of missing
 individuals, and resighting intervals. Variation in sample size appeared
 to affect the precision of estimated parameters the most.Our approach
 offers a solution to estimating unbiased mortality of both resident and
 dispersing individuals as well as the probability of emigration using
 mark-resighting data with incomplete death records. Conditional on the
 availability of data on known-fate individuals and relevant time-varying
 covariates, our model can reconstruct the fate (death or emigration) of
 missing individuals. The modularity of our framework allows mortality
 analyses to be tailored to a variety of species-specific life histories.
DOI: 10.5061/dryad.kh189329v
title: Comparative transmission genetics of introgressed chromatin in reciprocal advanced backcross populations in Gossypium (cotton) polyploids

description: Introgression is a potential source of valuable genetic variation and
 interspecific introgression lines are important resources for plant
 breeders to access novel alleles. Experimental advanced-generation
 backcross populations contain individuals with genomic compositions
 similar to those resulting from natural interspecific hybridization and
 provide opportunities to study the nature and transmission pattern of
 donor chromatin in recipient genomes. Here, we analyze transmission of
 donor chromatin in reciprocal backcrosses between G. hirsutum and G.
 barbadense. Across the genome, recurrent backcrossing in both backgrounds
 yielded donor chromatin at slightly higher frequencies than the Mendelian
 expectation in BC5F1 plants, while the average frequency of donor alleles
 in BC5F2 segregating families was less than expected. In the two
 subgenomes of polyploid cotton, the rate of donor chromatin introgression
 was similar. Although donor chromatin was tolerated over much of the
 recipient genomes, 21 regions recalcitrant to donor alleles were
 identified. Only limited correspondence is observed between the
 recalcitrant regions in the two backgrounds, suggesting the effect of
 species background on introgression of donor segments. Genetic breakdown
 was progressive, with floral abscission and seed inviability ongoing
 during backcrossing cycles. Regions of either high or low introgression
 tended to be in terminal chromosomal regions that are generally rich in
 both genes and crossover events, with long stretches around the centromere
 having limited crossover activity resulting in relatively constant low
 introgression frequencies. Constraints on fixation and selection of donor
 alleles highlights the challenges of utilizing introgression breeding in
 crop improvement.
description: Dataset 1: This dataset has the genotypic information on the
 BC<sub>5</sub>F<sub>1</sub> lines in the Acala
 Maxxa (<em>G. hirsutum</em>) background.
 Dataset 2: This dataset has the genotypic information on the
 BC<sub>5</sub>F<sub>1</sub> lines in the Pima S6
 (<em>G.</em> <em>barbadense</em>)
 background.
DOI: 10.17632/wk4n2fvmp7
title: Conserved Antagonism of cGAS-STING Signaling by NSP2 Proteins from SARS-CoV-2 and SARSr-CoV-2

description: Despite the high risk of host-shift associated with SARSr-CoV-2, the extent to which these viruses share similar or distinct molecular mechanisms in antagonizing host innate immune responses, compared to SARS-CoV-2, remains largely unexplored. RIG-Ⅰ-like receptors (RLRs) and cGAS-STING signaling pathways function as critical innate immune sensors that detect viral infection and trigger IFN-Ⅰ production to restrict viral replication.Whether SARS-CoV-2 modulates the cGAS-STING pathway remains incompletely understood. Here, we demonstrate that SARSr-CoV-2 and SARS-CoV-2 NSP2 target STING to suppress type Ⅰ IFN production. Mechanistically, SARSr-CoV-2 and SARS-CoV-2 NSP2 interact with STING and impair STING oligomerization and aggregation. Furthermore, NSP2 attenuates the association between STING and TBK1 and inhibits STING translocation from the endoplasmic reticulum to the Golgi apparatus. As a consequence, NSP2 suppresses cGAS-STING-mediated phosphorylation of TBK1 and IRF3, impairs IRF3 nuclear translocation, and ultimately reduces type Ⅰ IFN production. Taken together, these findings suggest that SARSr-CoV-2 and SARS-CoV-2 NSP2 impair the cGAS-STING signaling pathway and provide insights for developing antiviral strategies against coronavirus.
DOI: 10.5061/dryad.rbnzs7hfp
title: Data from: Plant attributes interact with fungal pathogens and nitrogen addition to drive soil enzymatic activities and their temporal variation

description: Nitrogen enrichment can alter soil communities and their functioning
 directly, via changes in nutrient availability and stoichiometry, or
 indirectly, by changing plant communities or the abundance of consumers.
 However, most studies have only focused on one of these potential drivers
 and we know little about the relative importance of the different
 mechanisms (changes in nutrient availability, in plant diversity or
 functional composition, or in consumer abundance) by which nitrogen
 enrichment affects soil functioning. In addition, soil functions could
 vary dramatically between seasons, however, they are typically measured
 only once during the peak growing season. We therefore know little about
 the drivers of intra-annual stability in soil functioning. In this study,
 we measured activities of β-glucosidase and acid phosphatase, two
 extracellular enzymes that indicate soil functioning. We did so in a large
 grassland experiment which tested the effects, and relative importance, of
 nitrogen enrichment, plant functional composition and diversity, and
 foliar pathogen presence (controlled by fungicide) on soil functioning. We
 measured the activity of the two enzymes across seasons and years to
 assess the stability and temporal dynamics of soil functioning. Overall
 β-glucosidase activity was slightly increased by nitrogen enrichment over
 time but did not respond to the other experimental treatments. Conversely,
 plant functional diversity, and interactions between plant attributes and
 fungicide application, were important drivers of mean acid phosphatase
 activity. The temporal stability of both soil enzymes was differently
 affected by two facets of plant diversity: species richness increased
 temporal stability and functional diversity decreased it; however, these
 effects were dampened when nitrogen and fungicide were added. Synthesis:
 The fungicide effects on soil enzyme activities suggest that foliar
 pathogens can also affect belowground processes and the interacting effect
 of fungicide and plant diversity suggests that these plant enemies can
 modulate the relationship between plant diversity and ecosystem
 functioning. The contrasting effects of our treatments on the mean versus
 stability of soil enzyme activities clearly show the need to consider
 temporal dynamics in belowground processes, to better understand the
 responses of soil microbes to environmental changes such as nutrient
 enrichment.
description: This is the data associated with the paper Nwe et al. "Plant
 attributes interact with fungal pathogens and nitrogen addition to drive
 soil enzymatic activities and their temporal variation" Functional
 Ecology. For full methods see the paper.
DOI: 10.17632/wk4n2fvmp7.1
title: Conserved Antagonism of cGAS-STING Signaling by NSP2 Proteins from SARS-CoV-2 and SARSr-CoV-2

description: Despite the high risk of host-shift associated with SARSr-CoV-2, the extent to which these viruses share similar or distinct molecular mechanisms in antagonizing host innate immune responses, compared to SARS-CoV-2, remains largely unexplored. RIG-Ⅰ-like receptors (RLRs) and cGAS-STING signaling pathways function as critical innate immune sensors that detect viral infection and trigger IFN-Ⅰ production to restrict viral replication.Whether SARS-CoV-2 modulates the cGAS-STING pathway remains incompletely understood. Here, we demonstrate that SARSr-CoV-2 and SARS-CoV-2 NSP2 target STING to suppress type Ⅰ IFN production. Mechanistically, SARSr-CoV-2 and SARS-CoV-2 NSP2 interact with STING and impair STING oligomerization and aggregation. Furthermore, NSP2 attenuates the association between STING and TBK1 and inhibits STING translocation from the endoplasmic reticulum to the Golgi apparatus. As a consequence, NSP2 suppresses cGAS-STING-mediated phosphorylation of TBK1 and IRF3, impairs IRF3 nuclear translocation, and ultimately reduces type Ⅰ IFN production. Taken together, these findings suggest that SARSr-CoV-2 and SARS-CoV-2 NSP2 impair the cGAS-STING signaling pathway and provide insights for developing antiviral strategies against coronavirus.
DOI: 10.5061/dryad.msbcc2g2t
title: Data for: Widespread support for a global species list with a formal governance system

description: This spreadsheet provides all cleaned and validated data used in the
 analysis of the GSLWG survey to gather opinions about the governance of
 taxonomic lists. Data are anonymous. Interpertations of variables are
 available in a separate codebook file, also available on Dryad and
 associated with this manuscript. In addition to raw survey data,
 additional supplemental data are provided: 1. Coding manual providing
 definitions for each variable included in the survey dataset in .csv
 format 2. The data analysis code in Stata .do format and PDF format 3. The
 survey instrument in several languages in PDF format 4. A detailed
 description of the survey methodology and data analysis approach in PDF
 format 5. The full results of the survey in tabular form 6. Additional
 figures presenting survey results All data are also available on the
 website of the Open Science Framework (OSF), along with survey
 pre-registration data:
 https://osf.io/tz7ra/?view_only=4b1bc810ef794f7f9bb57240611989af
description: Data was collected using an online survey of taxonomists, other
 types of scientists, and users of taxonomic information. It was processed
 to clean data for analysis according to the standards recorded in the
 survey codebook, which is also availalbe on Dryad and associated with this
 manuscript. Data cleaning was performed using Stata. Full information
 about survey methods are availalbe in the accompanying article and the
 survey methods supplemental data also availalbe on Dryad. This survey was
 pre-registered with the Open Science Framework with a full description of
 survey development, implementation, and analysis methods: https://osf.io/tz7ra/?view_only=4b1bc810ef794f7f9bb57240611989af
description: Data is provided in .csv format, which requires software capable
 of reading .csv files. Other files are provided in .csv or PDF
 format.
DOI: 10.23708/nzrixf
title: IC-ECVP first Survey Data - Données pré-enquête IC-ECVPSurvey 23 octobre -16 décembre 2023

description: Ensemble des variables du questionnaire d'enquête IC-ECVPSurvey pour les 42 personnes enquêtées entre le 23 octobre et le 16 décembre 2025, territoire de la commune de Jacqueville, Côte d'ivoire, dans le cadre de la mise au point du questionnaire et des outils de saisie et de traitement. Questionnaire correspondant : Formulaire_IC_ECVPSurvey_23oct_16dec_2023_KoboToolbox.pdf Version papier : Questionnaire_IC_ECVPSurvey_23oct_16dec_2023.pdf Rapports correspondants : Rapport pre_enquête_IC_ECVPSurvey_23oct_16dec_2023.pdf
DOI: 10.15468/dl.j7c5gk
title: Occurrence Download

description: A dataset containing 329 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Paraleptophlebia werneri"
 ]
}

 The dataset includes 329 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003448-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18402620
title: Real-World Evidence of Sacituzumab Govitecan in Metastatic Triple-Negative Breast Cancer
DOI: 10.5281/zenodo.18402621
title: Real-World Evidence of Sacituzumab Govitecan in Metastatic Triple-Negative Breast Cancer
DOI: 10.17632/dpzjjnh6hf
title: ENDID_IV

description: This repository reproduces the paper’s main empirical results from:

“Difference-in-differences with endogenous externalities: Model and application to climate econometrics”
Papers in Regional Science, 104 (2025) 100125.

The code implements the paper’s strategy by combining (i) a PPML first stage to predict bilateral flows and construct a country–year exposure instrument, and (ii) an IV second stage to estimate causal effects on country–year outcomes.

First stage (PPML). We estimate a Poisson model with high-dimensional fixed effects (exporter–importer and year) using fixest::fepois. From the estimated coefficients, we compute predicted bilateral flows and build WD_row_hat, an instrument that measures country i’s exposure in year t to shocks occurring in node j (e.g., drought). Exposure is weighted by shares derived from predicted bilateral flows, using either row-standardization (by exporter-year) or a year-global normalization, depending on the option selected.

Second stage (IV). We estimate country–year panel models for outcomes such as ln_production (and optionally ln_area, ln_yield) as functions of observed exposure WD_row_obs, treated as endogenous and instrumented by WD_row_hat. Specifications include fixed effects and climate/structural controls (temperature, precipitation, irrigation, and drought indicators), estimated with fixest::feols using its IV formula syntax.

Inference. Standard errors are obtained via a two-level bootstrap: (1) draw PPML coefficient vectors from a multivariate normal approximation based on the first-stage variance–covariance matrix; (2) resample country clusters (or a user-defined cluster key) with replacement and re-estimate the second-stage and IV models for each replication. This yields bootstrap standard errors that incorporate both first-stage uncertainty and within-cluster dependence. Parallelization uses foreach/doParallel, and reproducibility is ensured via doRNG with a fixed seed.

Inputs are: (a) a bilateral panel (isoi, isoj, year) for the PPML stage and (b) a country–year panel (iso, year) for the IV stage. Running the replication script produces point estimates and a coefficient table with bootstrap standard errors and key diagnostics (e.g., first-stage F-statistics when available).
DOI: 10.17632/dpzjjnh6hf.2
title: ENDID_IV

description: This repository reproduces the paper’s main empirical results from:

“Difference-in-differences with endogenous externalities: Model and application to climate econometrics”
Papers in Regional Science, 104 (2025) 100125.

The code implements the paper’s strategy by combining (i) a PPML first stage to predict bilateral flows and construct a country–year exposure instrument, and (ii) an IV second stage to estimate causal effects on country–year outcomes.

First stage (PPML). We estimate a Poisson model with high-dimensional fixed effects (exporter–importer and year) using fixest::fepois. From the estimated coefficients, we compute predicted bilateral flows and build WD_row_hat, an instrument that measures country i’s exposure in year t to shocks occurring in node j (e.g., drought). Exposure is weighted by shares derived from predicted bilateral flows, using either row-standardization (by exporter-year) or a year-global normalization, depending on the option selected.

Second stage (IV). We estimate country–year panel models for outcomes such as ln_production (and optionally ln_area, ln_yield) as functions of observed exposure WD_row_obs, treated as endogenous and instrumented by WD_row_hat. Specifications include fixed effects and climate/structural controls (temperature, precipitation, irrigation, and drought indicators), estimated with fixest::feols using its IV formula syntax.

Inference. Standard errors are obtained via a two-level bootstrap: (1) draw PPML coefficient vectors from a multivariate normal approximation based on the first-stage variance–covariance matrix; (2) resample country clusters (or a user-defined cluster key) with replacement and re-estimate the second-stage and IV models for each replication. This yields bootstrap standard errors that incorporate both first-stage uncertainty and within-cluster dependence. Parallelization uses foreach/doParallel, and reproducibility is ensured via doRNG with a fixed seed.

Inputs are: (a) a bilateral panel (isoi, isoj, year) for the PPML stage and (b) a country–year panel (iso, year) for the IV stage. Running the replication script produces point estimates and a coefficient table with bootstrap standard errors and key diagnostics (e.g., first-stage F-statistics when available).
DOI: 10.5061/dryad.1g1jwsv1d
title: Assessment of antimicrobial activity of melittin encapsulated in bicontinuous microemulsions prepared using renewable oils

description: The objective of this study is to demonstrate that melittin, a
 well-studied antimicrobial peptide (AMP), can be solubilized in an active
 form in bicontinuous microemulsions (BMEs) that employ biocompatible oils.
 The systems investigated consisted of Winsor-III and -IV BME phases
 composed of Water/Aerosol-OT (AOT)/Polysorbate 85/isopropyl myristate and
 a Winsor-IV BME employing Polysorbate 80 and limonene. We found that
 melittin resided in an a-helix-rich configuration and was in an apolar
 environment for the AOT/Polysorbate 85 Winsor-III system, suggesting that
 melittin interacted with the surfactant monolayer and was in an active
 conformation. An apolar environment was also detected for melittin in the
 two Winsor-IV systems, but to a lesser extent than the Winsor-III system.
 Small-angle X-ray scattering analysis indicated that melittin at a
 concentration of 1.0 g/Laq in the aqueous subphase of the Winsor-IV
 systems led to the greatest impact on the BME structure (e.g., decrease of
 quasi-periodic repeat distance and correlation length and induction of
 interfacial fluidity). The antimicrobial activity of the Polysorbate 80
 Winsor-IV system was evaluated against several bacteria prominent in
 chronic wounds and surgical site infections (SSIs). Melittin-free BMEs
 inhibited the growth of all tested bacteria due to its oil, limonene,
 while the inclusion of 1.0 g/Laq of melittin in the BMEs enhanced the
 activity against several bacteria. A further increase of melittin
 concentration in the BMEs had no effect. These results demonstrate the
 potential utility of BMEs as a delivery platform for AMPs and other
 hydrophilic and lipophilic drugs to inhibit antibiotic-resistant
 microorganisms in chronic wounds and SSIs.
description: Collected through measurements of: A) volume fractions for
 Winsor-III microemulision systems; B) Bradford assay to measure protein
 concentration; c) circular dichroism spectroscopy; D) fluescence
 spectroscopy; E) small-angle s-ray scattering (SAXS); F) model fitting of
 SAXS data; G) well diffusion bioassays. There was no further processing
 performed on the data.
description: Microsoft Excel