cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18395106
title: Agrometeorological Data from the 'Amuntaio 3' Telemetric Station (Western Macedonia), 2024–2025

description: This dataset contains hourly agrometeorological measurements collected from the telemetric station “Amuntaio 3”, located in Western Macedonia, through the gaiasense smart farming system. It includes time-series observations of key atmospheric and/or soil parameters supporting agricultural monitoring and decision-making. The dataset covers the period from 1 January 2024 to 31 December 2025.

Geographic coverage: Western Macedonia (Amuntaio area)Temporal coverage: 2024-01-01 to 2025-12-31Data source: gaiasense smart farming system
DOI: 10.5281/zenodo.18395105
title: Agrometeorological Data from the 'Amuntaio 3' Telemetric Station (Western Macedonia), 2024–2025

description: This dataset contains hourly agrometeorological measurements collected from the telemetric station “Amuntaio 3”, located in Western Macedonia, through the gaiasense smart farming system. It includes time-series observations of key atmospheric and/or soil parameters supporting agricultural monitoring and decision-making. The dataset covers the period from 1 January 2024 to 31 December 2025.

Geographic coverage: Western Macedonia (Amuntaio area)Temporal coverage: 2024-01-01 to 2025-12-31Data source: gaiasense smart farming system
DOI: 10.5061/dryad.tdz08kq15
title: Different molecular changes underlie the same phenotypic transition: Origins and consequences of independent shifts to homostyly within species

description: The repeated transition from outcrossing to selfing is a key topic in
 evolutionary biology. However, the molecular basis of such shifts has been
 rarely examined due to lack of knowledge of the genes controlling these
 transitions. A classic example of mating system transition is the repeated
 shift from heterostyly to homostyly. Occurring in 28 angiosperm families,
 heterostyly is characterized by the reciprocal position of male and female
 sexual organs in two (or three) distinct, usually self-incompatible floral
 morphs. Conversely, homostyly is characterized by a single,
 self-compatible floral morph with reduced separation of male and female
 organs, facilitating selfing. Here, we investigate the origins of
 homostyly in Primula vulgaris and its microevolutionary consequences by
 integrating surveys of the frequency of homostyles in natural populations,
 DNA sequence analyses of the gene controlling the position of female
 sexual organs (CYPᵀ), and microsatellite genotyping of both progeny arrays
 and natural populations characterized by varying frequencies of
 homostyles. As expected, we found that homostyles displace short-styled
 individuals, but long-style morphs are maintained at low frequencies
 within populations. We also demonstrated that homostyles repeatedly
 evolved from short-styled individuals in association with different types
 of loss-of-function mutations in CYPᵀ. Additionally, homostyly triggers a
 shift to selfing, promoting increased inbreeding within and genetic
 differentiation among populations. Our results elucidate the causes and
 consequences of repeated transitions to homostyly within species, and the
 putative mechanisms precluding its fixation in P. vulgaris. This study
 represents a benchmark for future analyses of losses of heterostyly in
 other angiosperms.
DOI: 10.5281/zenodo.18395020
title: Agrometeorological Data from the 'Amuntaio 2' Telemetric Station (Western Macedonia), 2024–2025

description: This dataset contains hourly agrometeorological measurements collected from the telemetric station “Amuntaio 2”, located in Western Macedonia, through the gaiasense smart farming system. It includes time-series observations of key atmospheric and/or soil parameters supporting agricultural monitoring and decision-making. The dataset covers the period from 1 January 2024 to 31 December 2025.

Geographic coverage: Western Macedonia (Amuntaio area)Temporal coverage: 2024-01-01 to 2025-12-31Data source: gaiasense smart farming system
DOI: 10.5281/zenodo.18395021
title: Agrometeorological Data from the 'Amuntaio 2' Telemetric Station (Western Macedonia), 2024–2025

description: This dataset contains hourly agrometeorological measurements collected from the telemetric station “Amuntaio 2”, located in Western Macedonia, through the gaiasense smart farming system. It includes time-series observations of key atmospheric and/or soil parameters supporting agricultural monitoring and decision-making. The dataset covers the period from 1 January 2024 to 31 December 2025.

Geographic coverage: Western Macedonia (Amuntaio area)Temporal coverage: 2024-01-01 to 2025-12-31Data source: gaiasense smart farming system
DOI: 10.5061/dryad.sbcc2fr7b
title: Guppies (Poecilia reticulata) are deceived by visual illusions during obstacle negotiation

description: Animals traveling in their natural environment repeatedly encounter
 obstacles that they can either detour or go through. Gap negotiation
 requires an accurate estimation of the opening’s size to avoid getting
 stuck or being injured. Research on visual illusions revealed that in some
 circumstances transformation rules used to generate a three-dimensional
 representation from bidimensional retinal images fail, leading to
 systematic errors in perception. In Ebbinghaus and Delboeuf illusions, the
 presence of task-irrelevant elements causes us to misjudge an object’s
 size. Susceptibility to these illusions was observed in other animals,
 although with large intraspecific differences. In this study, we
 investigated whether fish can accurately estimate gap size and whether
 during this process they may be deceived by illusory patterns. Guppies
 were extremely accurate in gap negotiation, discriminating holes with a
 10% diameter difference. When presented with two identical holes
 surrounded by inducers to produce Ebbinghaus and Delboeuf patterns,
 guppies misperceived gap size in the predicted direction. So far,
 researchers have principally considered illusions as useful tools for
 exploring the cognitive processing underlying vision. Our findings
 highlight the possibility that they have important ecological
 implications, affecting the everyday interactions of an animal with its
 physical world besides its intra- and interspecific relationships.
DOI: 10.5281/zenodo.18394947
title: Agrometeorological Data from the 'Agrinio 5' Telemetric Station (Western Greece), 2024–2025

description: This dataset contains hourly agrometeorological measurements collected from the telemetric station “Agrinio 5”, located in Western Greece, through the gaiasense smart farming system. It includes time-series observations of key atmospheric and/or soil parameters supporting agricultural monitoring and decision-making. The dataset covers the period from 1 January 2024 to 31 December 2025.

Geographic coverage: Western Greece (Agrinio area)Temporal coverage: 2024-01-01 to 2025-12-31Data source: gaiasense smart farming system
DOI: 10.5281/zenodo.18394946
title: Agrometeorological Data from the 'Agrinio 5' Telemetric Station (Western Greece), 2024–2025

description: This dataset contains hourly agrometeorological measurements collected from the telemetric station “Agrinio 5”, located in Western Greece, through the gaiasense smart farming system. It includes time-series observations of key atmospheric and/or soil parameters supporting agricultural monitoring and decision-making. The dataset covers the period from 1 January 2024 to 31 December 2025.

Geographic coverage: Western Greece (Agrinio area)Temporal coverage: 2024-01-01 to 2025-12-31Data source: gaiasense smart farming system
DOI: 10.5061/dryad.9s4mw6mhr
title: Geomorphology variables predict fish assemblages for forested and endorheic rivers

description: This dataset contains data from field collections described in the paper:
 “Shields, R., Pyron, M., Arsenault, E., Thorp, J., Minder, M., Artz, C.,
 Costello, J., Otgonganbat, A., Mendsaikhan, B., Maasri., A. (2022)
 Geomorphology variables predict fish assemblages for forested and
 endorheic rivers. Ecology and Evolution. ECE-2021-08-01367”. 
 Stream fishes are restricted to specific environments with appropriate
 habitats for feeding and reproduction. Interactions between streams and
 surrounding landscapes influence the availability and type of fish
 habitat, nutrient concentrations, suspended solids, and substrate
 composition. Valley width and gradient are geomorphological variables that
 influence the frequency and intensity that a stream interacts with the
 surrounding landscape. For example, in constrained valleys, canyon walls
 are steeply-sloped and valleys are narrow, limiting the movement of water
 into riparian zones. Wide valleys have long, flat floodplains that are
 inundated with high discharge. We tested for differences in fish
 assemblages with geomorphology variation among streams in US and Mongolia
 montane forested and endorheic ecoregions. Montane rivers of Mongolia are
 pristine and have few invasive species, compared to montane rivers of the
 western US. Sites where we collected were defined as geomorphologically
 unique river segments (i.e., functional process zones; FPZs) using an
 automated ArcGIS-based tool. This tool extracts geomorphic variables at
 the valley and catchment scales and uses them to cluster stream segments
 based on their similarity. We collected a representative fish sample from
 replicates of FPZs. Then, we used constrained ordinations to determine if
 river geomorphology could predict fish assemblage variation. Our
 constrained ordination approach using geomorphology to predict fish
 assemblages resulted in significance using fish taxonomy and traits in
 several watersheds. The watersheds where constrained ordinations were not
 successful were next analyzed with unconstrained ordinations to examine
 patterns among fish taxonomy and traits with geomorphology variables. US
 and Mongolia montane river fish assemblages varied with geomorphology
 variables including river elevation, gradient, valley width, channel
 sinuosity, valley slope, and annual precipitation. These results provide
 evidence that fish assemblages respond similarly and strongly to
 geomorphic variables on two continents. We recommend increased
 conservation of river ecosystems of the US and Mongolia, to prevent
 further degradation.
description: These are fish collections by backpack electrofisher and
 geomorphology data collected from western US and Mongolia
 rivers.
description: The readme file contains an
 explanation of each of the variables in the dataset, its measurement
 units. Information on how the measurements were done can be found in the
 associated manuscript referenced above.
DOI: 10.5281/zenodo.18394892
title: Agrometeorological Data from the 'Agrinio 4' Telemetric Station (Western Greece), 2024–2025

description: This dataset contains hourly agrometeorological measurements collected from the telemetric station “Agrinio 4”, located in Western Greece, through the gaiasense smart farming system. It includes time-series observations of key atmospheric and/or soil parameters supporting agricultural monitoring and decision-making. The dataset covers the period from 1 January 2024 to 31 December 2025.

Geographic coverage: Western Greece (Agrinio area)Temporal coverage: 2024-01-01 to 2025-12-31Data source: gaiasense smart farming system
DOI: 10.5281/zenodo.18394893
title: Agrometeorological Data from the 'Agrinio 4' Telemetric Station (Western Greece), 2024–2025

description: This dataset contains hourly agrometeorological measurements collected from the telemetric station “Agrinio 4”, located in Western Greece, through the gaiasense smart farming system. It includes time-series observations of key atmospheric and/or soil parameters supporting agricultural monitoring and decision-making. The dataset covers the period from 1 January 2024 to 31 December 2025.

Geographic coverage: Western Greece (Agrinio area)Temporal coverage: 2024-01-01 to 2025-12-31Data source: gaiasense smart farming system
DOI: 10.5281/zenodo.18394841
title: Agrometeorological Data from the 'Agrinio 3' Telemetric Station (Western Greece), 2024–2025

description: This dataset contains hourly agrometeorological measurements collected from the telemetric station “Agrinio 3”, located in Western Greece, through the gaiasense smart farming system. It includes time-series observations of key atmospheric and/or soil parameters supporting agricultural monitoring and decision-making. The dataset covers the period from 1 January 2024 to 31 December 2025.

Geographic coverage: Western Greece (Agrinio area)Temporal coverage: 2024-01-01 to 2025-12-31Data source: gaiasense smart farming system
DOI: 10.5281/zenodo.18394842
title: Agrometeorological Data from the 'Agrinio 3' Telemetric Station (Western Greece), 2024–2025

description: This dataset contains hourly agrometeorological measurements collected from the telemetric station “Agrinio 3”, located in Western Greece, through the gaiasense smart farming system. It includes time-series observations of key atmospheric and/or soil parameters supporting agricultural monitoring and decision-making. The dataset covers the period from 1 January 2024 to 31 December 2025.

Geographic coverage: Western Greece (Agrinio area)Temporal coverage: 2024-01-01 to 2025-12-31Data source: gaiasense smart farming system
DOI: 10.5061/dryad.sqv9s4n51
title: Probabilistic inference of the genetic architecture of functional enrichment of complex traits

description: We develop a Bayesian model (BayesRR-RC) that provides robust
 SNP-heritability estimation, an alternative to marker discovery, and
 accurate genomic prediction, taking 22 seconds per iteration to estimate
 8.4 million SNP-effects and 78 SNP-heritability parameters in the UK
 Biobank. We find that only $\leq$ 10\% of the genetic variation captured
 for height, body mass index, cardiovascular disease, and type 2 diabetes
 is attributable to proximal regulatory regions within 10kb upstream of
 genes, while 12-25% is attributed to coding regions, 32-44% to introns,
 and 22-28% to distal 10-500kb upstream regions. Up to 24% of all cis and
 coding regions of each chromosome are associated with each trait, with
 over 3,100 independent exonic and intronic regions and over 5,400
 independent regulatory regions having &gt;95% probability of
 contributing &gt;0.001% to the genetic variance of these four traits.
 Our open-source software (GMRM) provides a scalable alternative to current
 approaches for biobank data.
description: Posterior estimates from a Bayesian mixture of regression model
 for height, body mass index, cardiovascular disease and type-2 diabetes as
 estimated in the UK Biobank.
DOI: 10.5281/zenodo.18394756
title: Agrometeorological Data from the 'Agrinio 2' Telemetric Station (Western Greece), 2024–2025

description: This dataset contains hourly agrometeorological measurements collected from the telemetric station “Agrinio 2”, located in Western Greece, through the gaiasense smart farming system. It includes time-series observations of key atmospheric and/or soil parameters supporting agricultural monitoring and decision-making. The dataset covers the period from 1 January 2024 to 31 December 2025.

Geographic coverage: Western Greece (Agrinio area)Temporal coverage: 2024-01-01 to 2025-12-31Data source: gaiasense smart farming system
DOI: 10.5281/zenodo.18394757
title: Agrometeorological Data from the 'Agrinio 2' Telemetric Station (Western Greece), 2024–2025

description: This dataset contains hourly agrometeorological measurements collected from the telemetric station “Agrinio 2”, located in Western Greece, through the gaiasense smart farming system. It includes time-series observations of key atmospheric and/or soil parameters supporting agricultural monitoring and decision-making. The dataset covers the period from 1 January 2024 to 31 December 2025.

Geographic coverage: Western Greece (Agrinio area)Temporal coverage: 2024-01-01 to 2025-12-31Data source: gaiasense smart farming system
DOI: 10.5061/dryad.d51c5b04d
title: Wind Tunnel Mosquito Trajectory Data

description: Mosquitoes track odors, locate hosts, and find mates visually. The color
 of a food resource, such as a flower or warm-blooded host, can be
 dominated by long wavelengths of the visible light spectrum (green to red
 for humans) and is likely important for object recognition and
 localization. However, little is known about the hues that attract
 mosquitoes or how odor affects mosquito visual search behaviors. We use a
 real-time 3D tracking system and wind tunnel that allows careful control
 of the olfactory and visual environment to quantify the behavior of more
 than 1.3 million mosquito trajectories. We find that CO2 induces a strong
 attraction to specific spectral bands, including those that humans
 perceive as cyan, orange, and red. Sensitivity to orange and red
 correlates with mosquitoes’ strong attraction to the color spectrum of
 human skin, which is dominated by these wavelengths. The attraction is
 eliminated by filtering the orange and red bands from the skin color
 spectrum and by introducing mutations targeting specific long-wavelength
 opsins or CO2 detection. Collectively, our results show that odor is
 critical for mosquitoes’ wavelength preferences and that the mosquito
 visual system is a promising target for inhibiting their attraction to
 human hosts.
description: A 3D real-time tracking system was used to track the mosquitoes’
 trajectories. van Breugel, F., J.A. Riffell, A.
 Fairhall, and M.H. Dickinson, <i>Mosquitoes use vision to associate
 odor plumes with thermal targets.</i> Current Biology, 2015.
 <b>25</b>(16): p. 2123-2129. Stowers, J.R.,
 M. Hofbauer, R. Bastien, J. Griessner, P. Higgins, S. Farooqui, R.M.
 Fischer, K. Nowikovsky, W. Haubensak, and I.D. Couzin, <i>Virtual
 reality for freely moving animals.</i> Nature methods, 2017.
 <b>14</b>(10): p. 995-1002.
DOI: 10.5281/zenodo.18394549
title: Agrometeorological Data from the 'Agrinio 1' Telemetric Station (Western Greece), 2024–2025

description: This dataset contains hourly agrometeorological measurements collected from the telemetric station “Agrinio 1”, located in Western Greece, through the gaiasense smart farming system. It includes time-series observations of key atmospheric and/or soil parameters supporting agricultural monitoring and decision-making. The dataset covers the period from 1 January 2024 to 31 December 2025.

Geographic coverage: Western Greece (Agrinio area)Temporal coverage: 2024-01-01 to 2025-12-31Data source: gaiasense smart farming system
DOI: 10.5281/zenodo.18394550
title: Agrometeorological Data from the 'Agrinio 1' Telemetric Station (Western Greece), 2024–2025

description: This dataset contains hourly agrometeorological measurements collected from the telemetric station “Agrinio 1”, located in Western Greece, through the gaiasense smart farming system. It includes time-series observations of key atmospheric and/or soil parameters supporting agricultural monitoring and decision-making. The dataset covers the period from 1 January 2024 to 31 December 2025.

Geographic coverage: Western Greece (Agrinio area)Temporal coverage: 2024-01-01 to 2025-12-31Data source: gaiasense smart farming system
DOI: 10.5061/dryad.612jm644j
title: Multiscale modeling of oat and wheat stems under wind stress

description: Lodging impedes the successful cultivation of cereal crops. Complex
 anatomy, morphology and environmental interactions make identifying
 reliable and measurable traits for breeding challenging. Therefore, we
 present a unique collaboration among disciplines for plant science,
 modeling and simulations, and experimental fluid dynamics in a broader
 context of breeding lodging resilient wheat and oat. We ran comprehensive
 wind tunnel experiments to quantify the stem bending behavior of both
 cereals under controlled aerodynamic conditions. Measured phenotypes from
 experiments concluded that the wheat stems response is stiffer than the
 oat. However, these observations did not in themselves establish causal
 relationships of this observed behavior with the physical traits of the
 plants.  To further investigate we created an independent finite
 element simulation framework integrating our recently developed multiscale
 material modeling approach to predict the mechanical response of wheat and
 oat stems.  All the input parameters including chemical
 composition, tissue characteristics, and plant morphology have a strong
 physiological meaning in the hierarchical organization of plants, and the
 framework is free from empirical parameter tuning.  This feature
 of our simulation framework reveals the multiscale origin of the observed
 wide differences in the stem strength of both cereals that would not have
 been possible with purely experimental approach.
DOI: 10.6078/d1q138
title: Data From: Emissions redistribution and environmental justice implications of California's Clean Vehicle Rebate Project

description: Vehicle electrification is expected to reduce, in aggregate, emissions of
 greenhouse gases and criteria air pollutants. However, increased
 electricity generation to support new electric vehicles introduces
 possible redistribution of point-source emissions from mobile vehicles to
 electric generating units such that emissions may decrease in some
 locations and increase in others, with implications for equity. The
 potential for vehicle electrification to thereby shift the spatial
 distribution of air-pollution burdens has been previously noted, but
 analyses have yet to evaluate specific implemented climate policies. Here,
 we develop a novel model to analyze the implications of California’s Clean
 Vehicle Rebate Project (CVRP) for emissions of greenhouse gases and
 criteria air pollutants, both in aggregate and in their distribution.
 Analyzing rebates for 2010–2021, we find that the CVRP reduced aggregate
 statewide emissions of CO2, NOX, and SO2 and increased aggregate
 statewide emissions of primary PM2.5. However, changes
 in air pollution are not distributed equally: our results indicate that,
 as a result of the CVRP, net primary PM2.5, NOX, and SO2 emissions
 reductions disproportionately occur in Least Disadvantaged Communities, as
 compared to Disadvantaged Communities, with community disadvantage defined
 according to CalEnviroScreen 4.0 per California legislation. If the
 current spatial distribution of electric vehicle rebates remains
 unchanged, we project that these inequities will continue through the
 state’s legislative goal of 1.5 million zero-emission vehicles on
 California roadways by 2025, even with increased cleanliness of the
 electricity sources for new vehicles. Increased uptake of electric
 vehicles in communities facing the highest air pollution exposure, along
 with accelerated clean-energy generation, could ameliorate associated
 environmental inequities.
description: This data was processed through RStudio (version
 2021.09.0+351).