cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17964886
title: Database experimental data (dataset 3 of 4) "Local measurement of aerosol retention for bubbly flows with a wire-mesh sensor", dataset 3 of 4, air series

description: ## DATABASE EXPERIMENTAL DATA (DATASET 3 OF 4) "LOCAL MEASUREMENT OF AEROSOL RETENTION FOR BUBBLY FLOWS WITH A WIRE-MESH SENSOR", DATASET 3 OF 4, AIR SERIESReference Open-Access journal publication: Alvaro Ramos Perez, Terttaliisa Lind, Victor Petrov, Annalisa Manera, Horst-Michael Prasser, Local measurement of aerosol retention for bubbly flows with a wire-mesh sensor, Nuclear Engineering and Design, vol. 446, p. 114 550, Jan. 2026 doi: 10.1016/j.nucengdes.2025.114550

## THIS DATA CORRESPONDS TO THE DATASET 3 OF 4, AIR SERIES. THE ENTIRE DATASET LIST OF THE PUBLICATION IS:-DATASET 1 OF 4, CALIBRATION SERIES-DATASET 2 OF 4, AEROSOL SERIES-DATASET 3 OF 4, AIR SERIES-DATASET 4 OF 4, CO2 SERIES

## WMS DATA"README_WMS.txt": Description of data matrix "WMS.csv" and data format "WMS.zip"
DOI: 10.5281/zenodo.17964887
title: Database experimental data (dataset 3 of 4) "Local measurement of aerosol retention for bubbly flows with a wire-mesh sensor", dataset 3 of 4, air series

description: ## DATABASE EXPERIMENTAL DATA (DATASET 3 OF 4) "LOCAL MEASUREMENT OF AEROSOL RETENTION FOR BUBBLY FLOWS WITH A WIRE-MESH SENSOR", DATASET 3 OF 4, AIR SERIESReference Open-Access journal publication: Alvaro Ramos Perez, Terttaliisa Lind, Victor Petrov, Annalisa Manera, Horst-Michael Prasser, Local measurement of aerosol retention for bubbly flows with a wire-mesh sensor, Nuclear Engineering and Design, vol. 446, p. 114 550, Jan. 2026 doi: 10.1016/j.nucengdes.2025.114550

## THIS DATA CORRESPONDS TO THE DATASET 3 OF 4, AIR SERIES. THE ENTIRE DATASET LIST OF THE PUBLICATION IS:-DATASET 1 OF 4, CALIBRATION SERIES-DATASET 2 OF 4, AEROSOL SERIES-DATASET 3 OF 4, AIR SERIES-DATASET 4 OF 4, CO2 SERIES

## WMS DATA"README_WMS.txt": Description of data matrix "WMS.csv" and data format "WMS.zip"
DOI: 10.5061/dryad.gmsbcc2qh
title: Synthetic microbial consortia with programmable ecological interactions

description: 1. Central to the composition, structure and function of any microbial
 community is the complex species interaction web. But understanding the
 overwhelming complexity of ecological interaction webs has been
 challenging, owing at least partly to the lack of efficient tools for
 disentangling species interactions in natural or artificial microbial
 communities. 2. In this study, we developed a microbial experimental
 system which allows for rapidly generating microbial consortia with
 programmable ecological interactions. We engineered the model organism
 Escherichia coli to construct metabolism- and quorum sensing-based
 modules. The two engineered modules were used to create synthetic
 microbial consortia of synergy, competition and exploitation. 3. We showed
 that each of synthetic microbial consortia displayed the unique mode of
 population dynamics under certain initial inoculation conditions. We also
 demonstrated that the transitions between exploitation and the types of
 competition or synergy based on the same paired strains were plausible by
 tuning the two engineered modules. We lastly derived mathematical models
 to quantitatively capture the experimentally observed population dynamics
 of these synthetic microbial consortia. 4. This approach offers a fresh
 angle to engineering microbial systems for experimentally testing
 ecological questions with a much greater control and manipulation.
description: <strong>Mathematical
 modeling</strong> Three different general frameworks
 were proposed to describe population dynamics within synthetic microbial
 consortia. Models Ⅰ, Ⅱ and Ⅲ are all built using ordinary
 differential equations. Specifically, these mathematical
 models consisted of two to five variables that were classified into the
 following compounds: 1) cell density of each strain
 <em>N<sub>i</sub></em>; 2) concentration of the common
 resource (e.g. glucose) and amino acids
 <em>L<sub>i</sub></em> ; 3) the signaling
 molecules <em>Q</em>. Custom-tailored
 codes were developed to simulate models in
 MATLAB (MATLAB R2020b, Mathworks, Inc., Natick,
 MA, USA). The <em>ode45</em> subroutine was used to solve the
 ordinary differential equations and the <em>lsqnonlin</em> algorithm was performed to conduct the least square regression. The procedure of parameter estimation was based on multiple local optimizations of different parameter initial values (D'Alessandro et al., 2015). The “<em>RandomStartPointSet</em>” object was employed to randomly generate 10,000 initial point sets for each interaction in each model. The priori-knowledge strategy (Walter, 1987) was applied to constrain the obtained 10,000 parameter set estimations and the optimal one was selected with the minimum sum of squares for error (SSE).
DOI: 10.5061/dryad.zpc866t9x
title: Patch clamp dataset for: A massively parallel assay accurately discriminates between functionally normal and abnormal variants in a hotspot domain of KCNH2

description: Many genes, including KCNH2, contain ‘hotspot’ domains
 associated with a high density of variants associated with disease. This
 has led to the suggestion that variant location can be used as evidence
 supporting classification of clinical variants. However, it is not known
 what proportion of all potential variants in hotspot domains cause loss of
 function.  Here, we have used a massively parallel
 trafficking assay to characterize all single-nucleotide variants in exon 2
 of KCNH2, a known hotspot for variants that cause long
 QT syndrome type 2 and an increased risk of sudden cardiac
 death.  Forty-two percent
 of KCNH2 exon 2 variants caused at least 50 % reduction
 in protein trafficking and 65% of these trafficking defective variants
 exerted a dominant-negative effect when co-expressed with a
 WT KCNH2 allele as assessed using a calibrated patch
 clamp electrophysiology assay. The massively parallel trafficking assay
 was more accurate (AUC of 0.94) than bioinformatic prediction tools (REVEL
 and CardioBoost, AUC of 0.81) in discriminating between functionally
 normal and abnormal variants. Interestingly, over half of variants in exon
 2 were found to be functionally normal, suggesting a nuanced
 interpretation of variants in this ‘hotspot’ domain is necessary. Our
 massively parallel trafficking assay can provide this information
 prospectively.
description: The patch-clamp dataset was
 collected using the Nanion Syncropatch 384PE automated patch clamp system
 by assessing the electrophysiology parameters of 458
 <em>KCNH2</em> SNVs expressed in HEK293 as heterozygote. Three
 voltage protocols were used to interrogate steady-state activation,
 steady-state deactivation (and recovery from inactivation) as well as
 rates of onset of inactivation. The raw data sets obtained from the
 PatchControl software (Nanion) are included as
 'Patch_Clamp_Dataset_1.zip, Patch_Clamp_Dataset_2.zip, Patch_Clamp_Dataset_3.zip and Patch_Clamp_Dataset_4.zip’.
description: The raw SyncroPatch datafiles
 (obtained after unzipping the Patch_Clamp_Dataset_1.zip, Patch_Clamp_Dataset_2.zip, Patch_Clamp_Dataset_3.zip and Patch_Clamp_Dataset_4.zip file) can be opened using DataControl software (Nanion). Data can be reanalysed directly in DataControl and a copy of these data for each protocol have been exported as csv files and can be analysed using Python scripts available at https://git.victorchang.edu.au/projects/SADA/repos/syncropatch_automated_analysis/browse. The list of variants assayed on each plate are available in the “compound editor” tab of each dataset. This information is also provided in the excel spreadsheet: 'Patch-clamp_variants_location.xlsx‘’ so that users can identify which plate dataset they need to open to look at specific variants.
DOI: 10.5061/dryad.t4b8gtj4b
title: Effects of soil conditioning, root and shoot litter addition interact to determine the intensity of plant-soil feedback (dataset)

description: Plant-soil feedback (PSF) is recognized as an important mechanism shaping
 plant communities and determining plant abundance and coexistence. Under
 natural conditions, plants affect the outcome of plant-soil interactions
 simultaneously by conditioning the soil by living roots and by litter
 inputs into the soil. However, most experimental studies only focus on one
 of the pathways, which limits our understanding of PSF in the
 field.  Here, we simultaneously explored the effect of soil
 conditioning by living roots and of root and shoot litter addition on the
 performance of seven Impatiens species grown in a two-phase garden
 experiment.  Soil conditioning negatively affected plant
 performance and the effect was at least partly explained by nutrient
 depletion. Root litter addition affected plant performance negatively and
 the results suggest that biotic effects such as pathogen transmission via
 the root litter played a role. The effects of root litter addition were
 more pronounced in control soil which, contrary to the conditioned soil,
 supposedly did not accumulate pathogens during the conditioning phase.
 Shoot litter addition increased soil nutrient levels, but had no impact on
 plant performance. However, presence of shoot litter aggravated the
 negative effects of root litter, probably due to increased amounts of
 nutrients available for soil biota and thus their faster growth and
 intensified effect on the plants.  Overall, our study suggests
 that root and shoot litter have contrasting roles in plant-soil
 interactions and understanding their separate and interactive effects
 together with effects of soil conditioning is crucial for assessing the
 complexity of PSF.
description: We explored the effect of soil conditioning by living roots and of root and shoot litter addition on the performance of seven <em>Impatiens</em> species grown in a two-phase garden experiment. Here, we provide data on soil chemistry and plant performance in the second experimental phase. For more details about collecting and processing data, please refer to the Method section of the publication (Aldorfová et al. 2022, Oikos, 10.1111/oik.09025).
DOI: 10.5061/dryad.44j0zpcgm
title: Data and code from: Multiple sex chromosome drivers in a mammal with three sex chromosomes

description: Eukaryotes with separate males and females display a great diversity in
 the way they determine sex, but it is still unclear what evolutionary
 forces cause transitions between sex-determining systems. Rather that the
 lack of hypotheses, the problem is the scarcity of adequate biological
 systems to test them. Here, we take advantage of the recent evolution of a
 feminizing X chromosome (called X*) in the African pygmy
 mouse Mus minutoides, to investigate one of the evolutionary
 forces hypothesized to cause such transitions, namely sex chromosome drive
 (i.e., biased transmission of sex chromosomes to the next generation).
 Through extensive molecular sexing of pups at weaning, we reveal the
 existence of a remarkable male sex chromosome drive system in this
 species, whereby direction and strength of drive is conditional upon the
 genotype of males’ partners: males transmit their Y at a rate close to 80%
 when mating with XX or XX* females, and only 36% when mating with X*Y
 females. Using mathematical modelling, we explore the joint evolution of
 these unusual sex-determining and drive systems, revealing that different
 sequences of events could have led to the evolution of this bizarre
 system, and that the “conditional” nature of sex chromosome drive plays a
 crucial role in the short- and long-term maintenance of the three sex
 chromosomes.
description: This is the Dryad data submission for "Multiple Sex
 Chromosome Drivers in a Mammal with Three Sex Chromosomes" by
 Saunders, Perez, Ronce & Veyrunes, Current Biology
 (2022) https://doi.org/10.1016/j.cub.2022.03.029. It
 contains (i) sex ratio data, (ii) Mathematica code for all analytical
 analyses, (iii) R code for deterministic simulations. See README file for
 more details.
DOI: 10.5061/dryad.6m905qg21
title: Malaria prevalence before and 2 years after implementation of seasonal malaria chemoprevention in Saraya, Senegal

description: Seasonal malaria chemoprevention (SMC) is adopted and implemented in
 Senegal since 2013 in the southern regions in children aged between 3 and
 120 months. Scaling up of this strategy requires its evaluation to assess
 its impact. This study was carried out to determine the dynamics
 of Plasmodium falciparum carriage before and after two
 years of SMC implementation. Four household surveys were conducted in
 villages in the health district of Saraya, which is a SMC implementation
 area in Senegal. These villages were selected using probability
 proportional to size sampling. Each of the selected villages was divided
 into segments containing at least 50 children. In each selected segment, a
 household questionnaire was administered to the parents or legal
 representatives of children aged 3 to 120 months. Blood smears were
 collected to determine Plasmodium falciparum prevalence
 by microscopy one month before the first round of SMC and one month after
 the last round of the first SMC campaign and that of two years after the
 start of the implementation.  A total of 2008 children were
 included in our study with a mean average age of 4.81 (+/-2.73) years.
 50.33% of the study population were more than 5 years old and 50.3% were
 male. In 2013, net ownership was 99.4 % before SMC campaign and 97.4%
 after. In 2015, it was 36.6% before and 45.8% after the campaign. In 2013,
 the prevalence of plasmodium carriage was 11.8% before and 6.1% after SMC
 campaign. In 2015, the prevalence was 4.9% before the administration of
 SMC and increased up to 15.3% after. Malaria prevalence was high among
 children over 5 years old and boys.  The decrease
 in Plasmodium falciparum parasite prevalence, which
 subsequently increased after two years of SMC implementation in this
 study, suggests adding an extra cycle of the SMC or adjusting the
 administration period.
description: Four cross sectional household
 surveys were conducted during this study. In 2013, baseline surveys were
 carried out in August while SMC mass campaigns were performed in November
 and December. The surveys were conducted again one month after the
 campaign in January 2014. Two other surveys were conducted in August and
 December 2015 while SMC campaigns were performed from September to
 November i.e., one month before and one month after the last cycle of SMC.
 The study population consisted of three to 120 months old children living
 in Saraya district. The study inclusion criteria were the
 parents' consent, apparent good health, absence of fever in the week
 prior to our visit, being between three and 120 months of age and residing
 in the study area for the entire period of SMC administration. A
 standardized questionnaire was administered to parents or care
 givers/guardians of each selected child to collect socio-demographic data
 and to assess the use of malaria prevention measures like the use of
 mosquito bed nets. A blood smear was taken to determine the prevalence of
 malaria using microscopy.
DOI: 10.5061/dryad.wpzgmsbpn
title: nRCFV: A sequence, taxon and character state-normalised metric for the pre-reconstruction evaluation of compositional heterogeneity

description: Motivation Compositional heterogeneity – when the proportions of
 nucleotides and amino acids are not broadly similar across the dataset –
 is a cause of a great number of phylogenetic artefacts. Whilst a variety
 of methods can identify it post-hoc, few metrics exist to quantify
 compositional heterogeneity prior to the computationally intensive task of
 phylogenetic tree reconstruction. Here we assess the efficacy of one such
 existing, widely used, metric: Relative Composition Frequency Variability
 (RCFV), using both real and simulated data. Results Our results show that
 RCFV can be biased by sequence length, the number of taxa, and the number
 of possible character states within the dataset. However, we also find
 that missing data does not appear to have an appreciable value on RCFV. We
 discuss the theory behind this and the consequences of this for the future
 of the usage of the RCFV value and propose a new metric, nRCFV, which
 accounts for these biases. Alongside this, we present a new software that
 easily calculates both RCFV and nRCFV, called nRCFV_Reader. Availability
 and Implementation nRCFV has been implemented in RCFV_Reader, available
 at: https://github.com/JFFleming/RCFV_Reader. Both our simulation and real
 data are available in this dataset.
DOI: 10.5061/dryad.kprr4xh6c
title: Higher phage virulence accelerates the evolution of host resistance

description: Pathogens vary strikingly in their virulence and the selection they impose
 on their hosts. While the evolution of different virulence levels is well
 studied, the evolution of host resistance in response to different
 virulence levels is less understood and as of now mainly based on
 observations and theoretical predictions with few experimental tests.
 Increased virulence can increase selection for host resistance evolution
 if resistance costs are outweighed by the benefits of avoiding infection.
 To test this, we experimentally evolved the bacterium Vibrio
 alginolyticus in the presence of two variants of a filamentous
 phage that differ in their virulence. The bacterial host
 exhibited two alternative defence strategies: (1) super infection
 exclusion (SIE) whereby phage-infected cells were immune to subsequent
 infection at a cost of reduced growth, and (2) surface receptor mutations
 (SRM) providing resistance to infection by preventing phage attachment.
 While SIE emerged rapidly against both phages, SRM evolved faster against
 the high compared to the low virulence phage. Using a mathematical model
 of our system we show that increasing virulence strengthens selection for
 SRM due to the higher costs of infection suffered by SIE immune
 hosts. Thus, by accelerating the evolution of host resistance,
 more virulent phages caused shorter epidemics.
description: This dataset contains data underlying the selection experiment
 and subsequent experimental analysis thereof.
DOI: 10.5281/zenodo.17964873
title: Database experimental data (dataset 2 of 4) "Local measurement of aerosol retention for bubbly flows with a wire-mesh sensor", dataset 2 of 4, aerosol series

description: ## DATABASE EXPERIMENTAL DATA (DATASET 2 OF 4) "LOCAL MEASUREMENT OF AEROSOL RETENTION FOR BUBBLY FLOWS WITH A WIRE-MESH SENSOR", DATASET 2 OF 4, AEROSOL SERIESReference Open-Access journal publication: Alvaro Ramos Perez, Terttaliisa Lind, Victor Petrov, Annalisa Manera, Horst-Michael Prasser, Local measurement of aerosol retention for bubbly flows with a wire-mesh sensor, Nuclear Engineering and Design, vol. 446, p. 114 550, Jan. 2026 doi: 10.1016/j.nucengdes.2025.114550

## THIS DATA CORRESPONDS TO THE DATASET 2 OF 4, AEROSOL SERIES. THE ENTIRE DATASET LIST OF THE PUBLICATION IS:-DATASET 1 OF 4, CALIBRATION SERIES-DATASET 2 OF 4, AEROSOL SERIES-DATASET 3 OF 4, AIR SERIES-DATASET 4 OF 4, CO2 SERIES

## 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.17964874
title: Database experimental data (dataset 2 of 4) "Local measurement of aerosol retention for bubbly flows with a wire-mesh sensor", dataset 2 of 4, aerosol series

description: ## DATABASE EXPERIMENTAL DATA (DATASET 2 OF 4) "LOCAL MEASUREMENT OF AEROSOL RETENTION FOR BUBBLY FLOWS WITH A WIRE-MESH SENSOR", DATASET 2 OF 4, AEROSOL SERIESReference Open-Access journal publication: Alvaro Ramos Perez, Terttaliisa Lind, Victor Petrov, Annalisa Manera, Horst-Michael Prasser, Local measurement of aerosol retention for bubbly flows with a wire-mesh sensor, Nuclear Engineering and Design, vol. 446, p. 114 550, Jan. 2026 doi: 10.1016/j.nucengdes.2025.114550

## THIS DATA CORRESPONDS TO THE DATASET 2 OF 4, AEROSOL SERIES. THE ENTIRE DATASET LIST OF THE PUBLICATION IS:-DATASET 1 OF 4, CALIBRATION SERIES-DATASET 2 OF 4, AEROSOL SERIES-DATASET 3 OF 4, AIR SERIES-DATASET 4 OF 4, CO2 SERIES

## 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: 10.3929/ethz-c-000785553
title: Precipitation disaster hotspots depend on historical climate variability
DOI: 10.5281/zenodo.18400091
title: SEM Withered Plant (BSE Series) — Kikoh Matsuura (Art–Science Archive)

description: Parent (series) record for *SEM Withered Plant (BSE)* by Kikoh Matsuura.  This record serves as the hub for all child datasets in the series.

**Files included:**- A series overview (TXT) documenting scope, naming rules, citation style, and file policy- A machine-readable index (CSV) that will be updated to list child datasets (DOIs, imaging parameters, etc.)- Withered Plant — Declaration (PDF) — issued once / no future revisions / no images- Withered Plant: Phase I (DOI 1–100) — Record (PDF) — fixed record / no future revisions

Each child dataset contains raw, uncompressed BMP images (≈10 per set, number varies) acquired with a personally owned TECHNEX TinySEM M3-i using the BSE detector under high-vacuum conditions.  Child records provide detailed READMEs with exact parameters (accelerating voltage, working distance, vacuum, pixel size, field of view, frame time, coating).

This parent provides a stable concept DOI for the entire *SEM Withered Plant (BSE)* series.  Child datasets link back via *IsPartOf*, and this parent enumerates them via *HasPart*.  

*This series visualizes the hidden order and chance in withered plants through SEM-BSE, leaving a unique trace at the boundary between art and science.*