cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.bc1v8
title: Data from: Chasing ghosts: allopolyploid origin of Oxyria sinensis (Polygonaceae) from its only diploid congener and an unknown ancestor

description: Reconstructing the origin of a polyploid species is particularly
 challenging when an ancestor has become extinct. Under such circumstances,
 the extinct donor of a genome found in the polyploid may be treated as a
 ‘ghost’ species in that its prior existence is recognized through the
 presence of its genome in the polyploid. In this study, we aimed to
 determine the polyploid origin of Oxyria sinensis (2n = 40) for which only
 one congeneric species is known, that is diploid O. digyna (2n = 14).
 Genomic in situ hybridization (GISH), transcriptome, phylogenetic and
 demographic analyses, and ecological niche modelling were conducted for
 this purpose. GISH revealed that O. sinensis comprised 14 chromosomes from
 O. digyna and 26 chromosomes from an unknown ancestor. Transcriptome
 analysis indicated that following divergence from O. digyna, involving
 genome duplication around 12 million years ago (Ma), a second genome
 duplication occurred approximately 6 Ma to give rise to O. sinensis.
 Oxyria sinensis was shown to contain homologous gene sequences divergent
 from those present in O. digyna in addition to a set that clustered with
 those in O. digyna. Coalescent simulations indicated that O. sinensis
 expanded its distribution approximately 6–7 Ma, possibly following the
 second polyploidization event, whereas O. digyna expanded its range much
 later. It was also indicated that the distributions of both species
 contracted and re-expanded during the Pleistocene climatic oscillations.
 Ecological niche modelling similarly suggested that both species
 experienced changes in their distributional ranges in response to
 Quaternary climatic changes. The extinction of the unknown ‘ghost’
 tetraploid species implicated in the origin of O. sinensis could have
 resulted from superior adaptation of O. sinensis to repeated climatic
 changes in the region where it now occurs.
description: ENM_dataENM.csv
DOI: 10.5281/zenodo.18380684
title: Attitudes of Primary School Teachers towards AI (Rogers' Diffusion of Innovations)
title: Postoje učitelů 1. stupně ZŠ k umělé inteligenci (Rogersova teorie inovací)

description: The dataset presents results from a quantitative survey conducted among 367 primary school teachers (1st stage) in the Hradec Králové Region (Czech Republic). The aim was to map the current adoption rate of Artificial Intelligence tools (e.g., ChatGPT, Canva, Gemini) and identify factors influencing their use in pedagogical practice. The data include respondent demographics, an overview of actively used AI tools, and scales measuring teacher attitudes and innovativeness profiles.

According to the Statistical Yearbook of Education (MŠMT, 2024/2025), there have been 2,539 teachers at the 1st stage of primary schools in Hradec Králové Region. The obtained sample covers approximately 14.5% of the target population, ensuring a high level of representativeness for the region.
description: Datová sada prezentuje výsledky kvantitativního šetření realizovaného mezi 367 učiteli 1. stupně ZŠ v Královéhradeckém kraji. Cílem sběru dat bylo zmapovat aktuální míru adopce nástrojů umělé inteligence (např. ChatGPT, Canva, Gemini) a identifikovat faktory ovlivňující jejich využívání v pedagogické praxi. Data zahrnují demografické charakteristiky respondentů, přehled aktivně využívaných AI nástrojů a sady škál měřící postoje učitelů i jejich profil inovativnosti.

Dle Statistické ročenky školství (MŠMT, 2024/2025) působilo v Královéhradeckém kraji na 1. stupni celkem 2 539 učitelů. Získaný vzorek tak pokrývá přibližně 14,5 % cílové populace, což zajišťuje vysokou míru reprezentativnosti pro daný region.
DOI: 10.5281/zenodo.18380683
title: Attitudes of Primary School Teachers towards AI (Rogers' Diffusion of Innovations)
title: Postoje učitelů 1. stupně ZŠ k umělé inteligenci (Rogersova teorie inovací)

description: The dataset presents results from a quantitative survey conducted among 367 primary school teachers (1st stage) in the Hradec Králové Region (Czech Republic). The aim was to map the current adoption rate of Artificial Intelligence tools (e.g., ChatGPT, Canva, Gemini) and identify factors influencing their use in pedagogical practice. The data include respondent demographics, an overview of actively used AI tools, and scales measuring teacher attitudes and innovativeness profiles.

According to the Statistical Yearbook of Education (MŠMT, 2024/2025), there have been 2,539 teachers at the 1st stage of primary schools in Hradec Králové Region. The obtained sample covers approximately 14.5% of the target population, ensuring a high level of representativeness for the region.
description: Datová sada prezentuje výsledky kvantitativního šetření realizovaného mezi 367 učiteli 1. stupně ZŠ v Královéhradeckém kraji. Cílem sběru dat bylo zmapovat aktuální míru adopce nástrojů umělé inteligence (např. ChatGPT, Canva, Gemini) a identifikovat faktory ovlivňující jejich využívání v pedagogické praxi. Data zahrnují demografické charakteristiky respondentů, přehled aktivně využívaných AI nástrojů a sady škál měřící postoje učitelů i jejich profil inovativnosti.

Dle Statistické ročenky školství (MŠMT, 2024/2025) působilo v Královéhradeckém kraji na 1. stupni celkem 2 539 učitelů. Získaný vzorek tak pokrývá přibližně 14,5 % cílové populace, což zajišťuje vysokou míru reprezentativnosti pro daný region.
DOI: 10.5061/dryad.27v6086
title: Data from: Connectivity increases trophic subsidies in fragmented landscapes

description: Landscape corridors mitigate the negative effects of habitat fragmentation
 by increasing dispersal. Corridors also increase biodiversity in connected
 habitat fragments, suggestive of metacommunity dynamics. What is unknown
 in this case is the mechanisms through which metacommunity dynamics act.
 Working in a large-scale fragmentation experiment, we tested the effect of
 corridors on the movement of prey species and subsequent effects on
 predator nutrition (which we call trophic subsidies). We enriched plants
 of central patches with 15N, then measured 15N in green lynx spiders, the
 most abundant insect predator, in patches that were either connected to or
 isolated from the enriched patch. We found that corridors increased prey
 movement, as they increased spider 15N by 40% in connected patches.
 Corridors also improved spider body condition, increasing nitrogen
 relative to carbon. We suggest a novel mechanism, trophic subsidies,
 through which corridors may increase the stability or size of populations
 in connected landscapes.
description: Prey and Spider
 AbundanceThe abundance of
 Peucetia viridans and their hymenoptera prey were collected at the
 Savannah River Site near Aiken, SC, USA. Data were collected in 8
 experimental blocks; with 3 patch shapes each block. Data were collected
 in the summer of 2013. Details of experimental design found in Hawn, C.L.,
 Herrmann, J.D., Griffin, S.R., and N. M. Haddad. 2018. Connectivity
 increases trophic subsidies in fragmented landscapes. Ecology
 Letters.Hawn et al
 2018_abundancedata.csvSpider body
 conditionThe body condition of
 Peucetia viridans collected at the Savannah River Site near Aiken, SC,
 USA. Data were collected in 8 experimental blocks; with 3 patch shapes
 each block. Data were collected in the summer of 2013. Details of
 experimental design found in Hawn, C.L., Herrmann, J.D., Griffin, S.R.,
 and N. M. Haddad. 2018. Connectivity increases trophic subsidies in
 fragmented landscapes. Ecology Letters.Hawn et al
 2018_bodydata.csvDelta 15N
 enrichmentThe change in delta 15N
 between Peucetia viridans collected before the spray treatment (2011) and
 those collected after the treatment (2013) at the Savannah River Site near
 Aiken, SC, USA. Data were collected in 8 experimental blocks; with 3 patch
 shapes each block. Data were collected in the summer of 2013. Details of
 experimental design found in Hawn, C.L., Herrmann, J.D., Griffin, S.R.,
 and N. M. Haddad. 2018. Connectivity increases trophic subsidies in
 fragmented landscapes. Ecology Letters.Hawn et al
 2018_dn15data.csv
DOI: 10.5061/dryad.6p1j0
title: Data from: Individual chambers for controlling crosses in wind pollinated plants

description: Controlled plant crosses can be an important component of studies ranging
 from applied artificial selection research to evolutionary investigations
 of heritability. Controlling pollen flow is especially challenging for
 wind-pollinated species. We developed a system capable of housing hundreds
 of ragweed (Ambrosia artemisiifolia) plants simultaneously in individual
 chambers through the reproductive portion of their lifecycles. We
 confirmed that our chambers allowed us to control pollen movement and
 paternity of offspring using unpollinated isolated plants and
 microsatellite markers for parents and their putative offspring. Our
 system had per plant costs and efficacy superior to pollen bags used in
 past studies for wind pollinated plants. Our chamber system is flexible,
 affordable, and widely applicable to other wind pollinated plants, or
 applications in which the distribution of highly mobile species,
 individuals, spores, or gametes must be controlled.
description: Ambrosia_microsatelliteMicrosattelite results for Ambrosia aretmissiifolia crosses. Four loci were studied for offpsring, dams, and the putative sires.
DOI: 10.5281/zenodo.17712087
title: Yield-ET Simulation Dataset

description: This repository contains the Yield-ET Simulation Dataset, which includes the results presented in the article:“Simulating crop yield and evapotranspiration under different irrigation strategies using a coupled modeling approach”The dataset provides spatial and tabular outputs from simulations assessing crop yield and evapotranspiration under different irrigation scenarios. It is designed to support research on water productivity, drought impact, and irrigation management strategies.

Contents



<zone>_simulatedYeld_CCRR.geojson files: spatial layers with simulation results per scenario.

<zone>_simulatedYeld_CCRR.csv files: numerical data for yield and ET by scenario.

<zone>_simulatedYeld_CCRR_AuxData.csv files: auxiliary data by scenario.

Two GIF animations: dynamic visualization of spatial patterns.

Two PNG images: summary maps of simulated scenarios.
description: Simulation scenarios



pot: potential values (maximum)

pr25: precipitation reduced by 25%

pr50: precipitation reduced by 50%

dt25: irrigation allocation reduced by 25%

dt50: irrigation allocation reduced by 50%

dt75: irrigation allocation reduced by 75%


Simulation CSV files

The simulation CSV files include:



codi: Irrigation district code

Cultiu: Crop type

HA: Area in hectares

Y_*: Simulated yield

ADP_*: Simulated evapotranspiration

WP_*: Simulated water productivity


Auxiliary data description

The auxiliary CSV files include:



codi: Irrigation district code

Cultiu: Crop type

HA: Area

ETa: Actual evapotranspiration

efPre, efReg: Irrigation and precipitation efficiency

ADP_*: Simulated evapotranspiration

Y_*: Simulated yield

Prep_*: Simulated precipitation

Dot_Reg_*: Simulated water allocation

exces_*: Simulated excess of water

RatioP_*: Productivity ratio indicators


Simulation GeoJSON files

These files are provided in GeoJSON format (UTF-8 encoding), use CRS EPSG:32631 (WGS 84 / UTM zone 31N), and contain polygon geometries representing irrigation districts.They share the same attributes as the simulation CSV files:



codi: Irrigation district code

Cultiu: Crop type

HA: Area in hectares

Y_*: Simulated yield

ADP_*: Simulated evapotranspiration

WP_*: Simulated water productivity
DOI: 10.5281/zenodo.17712088
title: Yield-ET Simulation Dataset

description: This repository contains the Yield-ET Simulation Dataset, which includes the results presented in the article:“Simulating crop yield and evapotranspiration under different irrigation strategies using a coupled modeling approach”The dataset provides spatial and tabular outputs from simulations assessing crop yield and evapotranspiration under different irrigation scenarios. It is designed to support research on water productivity, drought impact, and irrigation management strategies.

Contents



<zone>_simulatedYeld_CCRR.geojson files: spatial layers with simulation results per scenario.

<zone>_simulatedYeld_CCRR.csv files: numerical data for yield and ET by scenario.

<zone>_simulatedYeld_CCRR_AuxData.csv files: auxiliary data by scenario.

Two GIF animations: dynamic visualization of spatial patterns.

Two PNG images: summary maps of simulated scenarios.
description: Simulation scenarios



pot: potential values (maximum)

pr25: precipitation reduced by 25%

pr50: precipitation reduced by 50%

dt25: irrigation allocation reduced by 25%

dt50: irrigation allocation reduced by 50%

dt75: irrigation allocation reduced by 75%


Simulation CSV files

The simulation CSV files include:



codi: Irrigation district code

Cultiu: Crop type

HA: Area in hectares

Y_*: Simulated yield

ADP_*: Simulated evapotranspiration

WP_*: Simulated water productivity


Auxiliary data description

The auxiliary CSV files include:



codi: Irrigation district code

Cultiu: Crop type

HA: Area

ETa: Actual evapotranspiration

efPre, efReg: Irrigation and precipitation efficiency

ADP_*: Simulated evapotranspiration

Y_*: Simulated yield

Prep_*: Simulated precipitation

Dot_Reg_*: Simulated water allocation

exces_*: Simulated excess of water

RatioP_*: Productivity ratio indicators


Simulation GeoJSON files

These files are provided in GeoJSON format (UTF-8 encoding), use CRS EPSG:32631 (WGS 84 / UTM zone 31N), and contain polygon geometries representing irrigation districts.They share the same attributes as the simulation CSV files:



codi: Irrigation district code

Cultiu: Crop type

HA: Area in hectares

Y_*: Simulated yield

ADP_*: Simulated evapotranspiration

WP_*: Simulated water productivity
DOI: 10.5061/dryad.m1s46
title: Data from: Fine root dynamics in lodgepole pine and white spruce stands along productivity gradients in reclaimed oil sands sites

description: Open-pit mining activities in the oil sands region of Alberta, Canada,
 create disturbed lands that, by law, must be reclaimed to a land
 capability equivalent to that existed before the disturbance.
 Re-establishment of forest cover will be affected by the production and
 turnover rate of fine roots. However, the relationship between fine root
 dynamics and tree growth has not been studied in reclaimed oil sands
 sites. Fine root properties (root length density, mean surface area, total
 root biomass, and rates of root production, turnover, and decomposition)
 were assessed from May to October 2011 and 2012 using sequential coring
 and ingrowth core methods in lodgepole pine (Pinus contorta Dougl.) and
 white spruce (Picea glauca (Moench.) Voss) stands. The pine and spruce
 stands were planted on peat mineral soil mix placed over tailings sand and
 overburden substrates, respectively, in reclaimed oil sands sites in
 Alberta. We selected stands that form a productivity gradient (low,
 medium, and high productivities) of each tree species based on differences
 in tree height and diameter at breast height (DBH) increments. In
 lodgepole pine stands, fine root length density and fine root production,
 and turnover rates were in the order of high &gt; medium &gt; low
 productivity sites and were positively correlated with tree height and DBH
 and negatively correlated with soil salinity (P &lt; 0.05). In white
 spruce stands, fine root surface area was the only parameter that
 increased along the productivity gradient and was negatively correlated
 with soil compaction. In conclusion, fine root dynamics along the stand
 productivity gradients were closely linked to stand productivity and were
 affected by limiting soil properties related to the specific substrate
 used for reconstructing the reclaimed soil. Understanding the impact of
 soil properties on fine root dynamics and overall stand productivity will
 help improve land reclamation outcomes.
description: Fine root dynamics data
 sheat (Jamro et al. 2015)Comma-separated values
 (CSV)
DOI: 10.5061/dryad.q2v22
title: Data from: A new species of Pittosporum described from the Poor Knights Islands, Northland, Aotearoa/New Zealand

description: Here we describe Pittosporum roimata Gemmill & S.N. Carter, the
 only vascular plant endemic to the Poor Knights Islands, Northland,
 Aotearoa/New Zealand. This new species has previously been referred to as
 a distinct variant of Pittosporum cornifolium (tāwhiri karo,
 wharewhareatua), a morphologically similar epiphytic shrub known from both
 main islands of New Zealand as well as other off shore islands. We have
 segregated this new species from P. cornifolium based on morphology, DNA
 sequence variation, as well as distribution. Pittosporum roimata is
 distinguished from P. cornifolium by a number of characters, including
 having larger thicker leaves with shorter petioles, flowers with yellow
 petals, larger inflorescences, and producing several terminal fruits per
 stem. Pittosporum roimata is locally common on the islands of Tawhiti
 Rahi, Aorangi, and Aorangaia, growing on rocky substrates associated with
 Xeronema callistemon (raupo taranga) and Metrosideros excelsa
 (pōhutukawa). Using the current New Zealand Threat Classification System,
 we suggest a preliminary classification of this new species as 'At
 Risk / Naturally Uncommon' qualified DP [Data Poor), OL [One
 Location].
description: Pittosporum roimata ITS
 alignmentAlignment of nrITS
 sequencesPittosporum roimata
 alignment.TXT
DOI: 10.5281/zenodo.18219711
title: NEMO 4.2.0 PISCES-P6Z model output and restart

description: Dataset containing model output and model restart file for the NEMO-PISCES-P6Z (Nemo 4.2.0) model used for comparison of modelled iron, phosphorus and nitrogen elemental use effiiciencies with those from laboratory cultures. The model for NEMO-PISCES-P6Z can be found here: https://github.com/lewiswrightson/NEMO4.2_P6Z
DOI: 10.5061/dryad.t25d2
title: Data from: Within species support for the expensive tissue hypothesis: a negative association between brain size and visceral fat storage in females of the Pacific seaweed pipefish

description: The brain is one of the most energetically expensive organs in the
 vertebrate body. Consequently, the high cost of brain development and
 maintenance is predicted to constrain adaptive brain size evolution (the
 expensive tissue hypothesis, ETH). Here, we test the ETH in a teleost fish
 with predominant female mating competition (reversed sex roles) and male
 pregnancy, the pacific seaweed pipefish Syngnathus schlegeli. The relative
 size of the brain and other energetically expensive organs (kidney, liver,
 heart, gut, visceral fat, and ovary/testis) was compared among three
 groups: pregnant males, nonpregnant males and egg producing females. Brood
 size in pregnant males was unrelated to brain size or the size of any
 other organ, whereas positive relationships were found between ovary size,
 kidney size, and liver size in females. Moreover, we found that the size
 of energetically expensive organs (brain, heart, gut, kidney, and liver)
 as well as the amount of visceral fat did not differ between pregnant and
 nonpregnant males. However, we found marked differences in relative size
 of the expensive organs between sexes. Females had larger liver and kidney
 than males, whereas males stored more visceral fat than females.
 Furthermore, in females we found a negative correlation between brain size
 and the amount of visceral fat, whereas in males, a positive trend between
 brain size and both liver and heart size was found. These results suggest
 that, while the majority of variation in the size of various expensive
 organs in this species likely reflects that individuals in good condition
 can afford to allocate resources to several organs, the cost of the
 expensive brain was visible in the visceral fat content of females,
 possibly due to the high costs associated with female egg production.
description: s.schlegeli_organ_dataData for weight of brain, heart, liver, kidney, gut, testis, ovary and visceral fat storage of Syngnathus schlegeli.
DOI: 10.5281/zenodo.18219710
title: NEMO 4.2.0 PISCES-P6Z model output and restart

description: Dataset containing model output and model restart file for the NEMO-PISCES-P6Z (Nemo 4.2.0) model used for comparison of modelled iron, phosphorus and nitrogen elemental use effiiciencies with those from laboratory cultures. The model for NEMO-PISCES-P6Z can be found here: https://github.com/lewiswrightson/NEMO4.2_P6Z
DOI: 10.5061/dryad.ns3hq
title: Data from: Domestication and fitness in the wild: A multivariate view

description: Domesticated species continually escaping and interbreeding with wild
 relatives impose a migration load on wild populations. As domesticated
 stocks become increasingly different as a result of artificial and natural
 selection in captivity, fitness of escapees in the wild is expected to
 decline, reducing the effective rate of migration into wild populations.
 Recent theory suggest that this may alleviate and eventually eliminate the
 resulting migration load. I develop a multivariate model of trait and wild
 fitness evolution resulting from the joint effects of artificial and
 natural selection in the captive environment. Initially, the evolutionary
 trajectory is dominated by the effects of artificial selection causing a
 fast initial decline in fitness of escapees in the wild. In later phases,
 through the counteracting effects of correlational multivariate natural
 selection in captivity, the mean phenotype is pushed in directions of weak
 stabilizing selection, allowing a sustained response in the trait subject
 to artificial selection. Provided that there is some alignment between the
 adaptive landscapes in the wild and in captivity, these phases are
 associated with slower rates of decline in wild fitness of the
 domesticated stock, suggesting that detrimental effects on wild
 populations are likely to remain a concern in the foreseeable future.
description: R code Fig.
 1R
 code generating Fig. 1 in the paperfig1.R