cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/4jwzkp5579
title: Epidemiological, Educational, and Socioeconomic Factors Associated with Pregnancy Planning in a Public Maternity Hospital: A Cross-Sectional Study in Curitiba

description: This study was based on the hypothesis that pregnancy planning status is associated with sociodemographic, educational, and reproductive factors among women receiving care in the Brazilian Unified Health System (SUS). We hypothesized that unplanned pregnancies would be more frequent among younger women, those with lower educational and socioeconomic levels, limited access to formal sexual education, reduced contraceptive use, and lower social support, while planned pregnancies would be associated with greater social stability and reproductive autonomy.

To investigate this hypothesis, a cross-sectional survey was conducted with 260 pregnant women attending a public maternity hospital in Curitiba, Brazil, between May 2024 and August 2025. Data were collected using a structured online questionnaire administered via Google Forms. The instrument included the Brazilian validated version of the London Measure of Unplanned Pregnancy (LMUP) and additional questions addressing sociodemographic characteristics, reproductive and contraceptive history, sexual education, and partner support. Based on LMUP scores, pregnancies were classified as unplanned, ambivalent, or planned.

The data show that most pregnancies were classified as ambivalent (57.7%), followed by planned (28.8%) and unplanned (13.5%). Unplanned pregnancy was significantly associated with younger maternal age, absence of a stable partner, lower educational attainment, higher household density, and lack of prior contraceptive use. Women in this group also reported lower exposure to formal sexual education—particularly in school—and greater reliance on informal sources such as friends. Additionally, unplanned pregnancies were marked by substantially lower support from the baby’s father.

Ambivalent pregnancies presented an intermediate profile, characterized by women in early adulthood, moderate socioeconomic conditions, higher prior contraceptive use, and greater exposure to sexual education through schools and healthcare professionals. Planned pregnancies were more frequent among older women, those in stable marital relationships, formally employed, living in less crowded households, with greater familiarity and prior use of contraceptive methods, and near-universal partner support.

Overall, the findings support the study hypothesis and indicate that pregnancy planning exists along a continuum rather than as a binary outcome. The data highlight the role of social vulnerability, access to education, and reproductive health services in shaping pregnancy intention. These results can be used to guide public health policies aimed at improving sexual education, expanding contraceptive counseling, and strengthening family planning strategies within the SUS, particularly for socially vulnerable populations.
DOI: 10.6084/m9.figshare.31169263
title: Database

description: To address the significant increase in petroleum-induced soil contamination caused by frequent leaks in buried oil pipelines, a prediction method for oil content in contaminated soil based on Particle Swarm Optimization (PSO)-Backpropagation (BP) neural networks has been proposed. This prediction model has been integrated into the pipeline leak monitoring system independently developed by the research team. It enables real-time online monitoring of petroleum-contaminated soil conditions and quantifies pollutants. Based on hundreds of experimental data sets studying the influence characteristics of resistivity on contaminated soil, moisture content, dry density, resistivity, and temperature were selected as the modeling dataset. Prediction models for oil content in contaminated soil were established using Standard Backpropagation (BP) Neural Network, Genetic Algorithm (GA) Optimized BP Neural Network, Particle Swarm Optimization (PSO) Optimized BP Neural Network, Random Forest Neural Network. The results indicate that the particle swarm optimization (PSO)-enhanced backpropagation neural network prediction model delivers the most accurate performance, achieving a coefficient of determination (R²) of 0.901. This model can reliably predict the oil content in contaminated soil, providing an effective solution for precise future predictions of oil content in contaminated soil.
DOI: 10.6084/m9.figshare.31169263.v1
title: Database

description: To address the significant increase in petroleum-induced soil contamination caused by frequent leaks in buried oil pipelines, a prediction method for oil content in contaminated soil based on Particle Swarm Optimization (PSO)-Backpropagation (BP) neural networks has been proposed. This prediction model has been integrated into the pipeline leak monitoring system independently developed by the research team. It enables real-time online monitoring of petroleum-contaminated soil conditions and quantifies pollutants. Based on hundreds of experimental data sets studying the influence characteristics of resistivity on contaminated soil, moisture content, dry density, resistivity, and temperature were selected as the modeling dataset. Prediction models for oil content in contaminated soil were established using Standard Backpropagation (BP) Neural Network, Genetic Algorithm (GA) Optimized BP Neural Network, Particle Swarm Optimization (PSO) Optimized BP Neural Network, Random Forest Neural Network. The results indicate that the particle swarm optimization (PSO)-enhanced backpropagation neural network prediction model delivers the most accurate performance, achieving a coefficient of determination (R²) of 0.901. This model can reliably predict the oil content in contaminated soil, providing an effective solution for precise future predictions of oil content in contaminated soil.
DOI: 10.17632/4jwzkp5579.1
title: Epidemiological, Educational, and Socioeconomic Factors Associated with Pregnancy Planning in a Public Maternity Hospital: A Cross-Sectional Study in Curitiba

description: This study was based on the hypothesis that pregnancy planning status is associated with sociodemographic, educational, and reproductive factors among women receiving care in the Brazilian Unified Health System (SUS). We hypothesized that unplanned pregnancies would be more frequent among younger women, those with lower educational and socioeconomic levels, limited access to formal sexual education, reduced contraceptive use, and lower social support, while planned pregnancies would be associated with greater social stability and reproductive autonomy.

To investigate this hypothesis, a cross-sectional survey was conducted with 260 pregnant women attending a public maternity hospital in Curitiba, Brazil, between May 2024 and August 2025. Data were collected using a structured online questionnaire administered via Google Forms. The instrument included the Brazilian validated version of the London Measure of Unplanned Pregnancy (LMUP) and additional questions addressing sociodemographic characteristics, reproductive and contraceptive history, sexual education, and partner support. Based on LMUP scores, pregnancies were classified as unplanned, ambivalent, or planned.

The data show that most pregnancies were classified as ambivalent (57.7%), followed by planned (28.8%) and unplanned (13.5%). Unplanned pregnancy was significantly associated with younger maternal age, absence of a stable partner, lower educational attainment, higher household density, and lack of prior contraceptive use. Women in this group also reported lower exposure to formal sexual education—particularly in school—and greater reliance on informal sources such as friends. Additionally, unplanned pregnancies were marked by substantially lower support from the baby’s father.

Ambivalent pregnancies presented an intermediate profile, characterized by women in early adulthood, moderate socioeconomic conditions, higher prior contraceptive use, and greater exposure to sexual education through schools and healthcare professionals. Planned pregnancies were more frequent among older women, those in stable marital relationships, formally employed, living in less crowded households, with greater familiarity and prior use of contraceptive methods, and near-universal partner support.

Overall, the findings support the study hypothesis and indicate that pregnancy planning exists along a continuum rather than as a binary outcome. The data highlight the role of social vulnerability, access to education, and reproductive health services in shaping pregnancy intention. These results can be used to guide public health policies aimed at improving sexual education, expanding contraceptive counseling, and strengthening family planning strategies within the SUS, particularly for socially vulnerable populations.
DOI: 10.5061/dryad.m63xsj468
title: Data from: Direct generation of spatially entangled qudits using quantum nonlinear holography - variances

description: Nonlinear holography shapes the amplitude and phase of generated new
 harmonics using nonlinear processes. Classical nonlinear holography
 influenced many fields in optics, from information storage,
 de-multiplexing of spatial information and all-optical control of
 accelerating beams. Here, we extend the concept of nonlinear holography to
 the quantum regime. We directly shape the spatial quantum correlations of
 entangled photon pairs in two-dimensional patterned nonlinear photonic
 crystals using spontaneous parametric down conversion, without any pump
 shaping. The generated signal-idler pair obeys a parity conservation law
 that is governed by the nonlinear crystal. Furthermore, the quantum states
 exhibit quantum correlations and violate the Clauser-Horne-Shimony-Holt
 inequality, thus enabling entanglement-based quantum key distribution. Our
 demonstration paves the way for controllable on-chip quantum optics
 schemes utilizing the high-dimensional spatial degree of freedom.
description: Variance of a 2 second coincidence count over 20 bins.
description: Matlab or Photo viewer.
DOI: 10.5061/dryad.rbnzs7hft
title: Motor recalibration of visual and saccadic maps

description: How does the brain maintain an accurate visual representation of external
 space? Movement errors following saccade execution provide sufficient
 information to recalibrate motor and visual space. Here, we asked whether
 spatial information for vision and saccades is processed in shared or in
 separate resources. We used saccade adaptation to modify both saccade
 amplitudes and visual mislocalization. After saccade adaptation was
 induced, we compared participants’ saccadic and perceptual localization
 before and after we inserted “no error” trials. In these trials, we
 clamped the post-saccadic error online to the predicted end points of
 saccades. In separate experiments, we either annulled the retinal or the
 prediction error. We also varied the number of “no error” trials across
 conditions. In all conditions, we found that saccade adaptation remained
 undisturbed by the insertion of “no error” trials. However,
 mislocalization decreased as a function of the number of trials in which
 zero retinal error was displayed. When the prediction error was clamped to
 zero, no mislocalization was observed at all. The results demonstrate the
 post-saccadic error is used separately to recalibrate visual and saccadic
 space.
DOI: 10.5061/dryad.bcc2fqzh4
title: Seasonal community stability increased with water addition and shrub removal but reduced with nitrogen addition in semi-arid grassland

description: 1. Stability is a useful indicator of the functioning and sustainability
 of an ecosystem, and many studies have explored the effects of
 anthropogenic disturbance on the inter-annual stability of plant
 communities. However, the effects of multiple anthropogenic stressors on
 seasonal community stability have not been clearly elucidated, especially
 for vulnerable semi-arid grasslands. 2. During the growing season in the
 5th year of the experiment, we determined how nitrogen (N) addition, water
 addition, and shrub removal altered seasonal community stability in a
 semi-arid grassland dominated by the shrub Caragana microphylla on the
 Mongolian Plateau. 3. We found that shrub removal, N addition, and water
 addition had different effects on the stability of the community and plant
 functional groups (PFGs). Shrub removal increased seasonal community
 stability mostly via increases in the stability of perennial forbs and C4
 plants, and shrub removal did not alter the effects of N addition or water
 addition on seasonal community stability or PFG stability. 4. N addition
 decreased seasonal community stability mostly via decreases in the
 stability of perennial rhizome grasses and C4 plants. Water addition
 increased seasonal community stability mostly via increases in the
 stability of annuals and biennials, perennial forbs, perennial rhizome
 grasses, dominant species, and C4 plants. Species asynchrony and PFG
 stability but not species richness or soil abiotic or biotic variables
 helped to maintain seasonal community stability under N addition or water
 addition. 5. Our findings indicate that future scenarios of increases in N
 deposition and shrub encroachment will strongly reduce community stability
 in drylands, and that future scenarios of increases in precipitation
 together with shrub removal might help to maintain the stability of this
 and other dryland ecosystems.
DOI: 10.15468/dl.k397tr
title: Occurrence Download

description: A dataset containing 577 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((13.30275 48.0841,13.30224 48.07501,13.31159 48.04252,13.32497 48.02956,13.36808 48.02978,13.38103 48.04443,13.38953 48.0816,13.38974 48.10347,13.36447 48.12301,13.33346 48.12407,13.31528 48.11107,13.30275 48.0841))",
 "OccurrenceStatus is Present",
 "TaxonKey is Insecta"
 ]
}

 The dataset includes 577 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003458-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.kwh70rz7s
title: Variability in nutrient use by orchid mycorrhizal fungi in two medium types

description: Orchid mycorrhizal fungi (OMF) from the rhizoctonia aggregate are
 generally considered to be soil saprotrophs, but their ability to utilize
 various nutrient sources has been studied in a limited number of isolates
 cultivated predominantly in liquid media, although rhizoctonia typically
 grow on the surface of solid substrates. Nine isolates representing the
 key OMF families (Ceratobasidiaceae, Tulasnellaceae and Serendipitaceae),
 sampled in Southern France and the Czech Republic, were tested for their
 ability to utilize carbon (C), nitrogen (N) and phosphorus (P) sources in
 vitro in both liquid and solid media. The isolates showed significant
 inter- and intra-familiar variability in nutrient utilization, most
 notably in N sources. Isolates produced generally larger amounts of dry
 biomass on solid medium than in liquid one, but some isolates showed no or
 limited biomass production on solid medium with particular nutrient
 sources. The largest amount of biomass was produced by isolates from the
 family Ceratobasidiaceae on most sources in both medium types. The biomass
 production of Tulasnellaceae isolates was affected by their phylogenetic
 relatedness on all sources and medium types. The ability of isolates to
 utilize particular nutrients in a liquid medium but not a solid one should
 be considered when optimizing solid media for symbiotic orchid seed
 germination and in understanding of OMF functional traits under in situ
 conditions.
description: In vitro cultivation of fungal isolates in liquid and solid
 medium using different sources of carbon, nitrogen and phosphorus
 compounds. Obtained data represent dry biomass (mg/day) and in the case of
 solid medium, we measured also radial growth rate (mm/day).<br>
description: MS Excel
DOI: 10.5061/dryad.sqv9s4n7h
title: Out of the ‘host’ box: Extreme off-host conditions alter the infectivity and virulence of a parasitic bacterium

description: Disease agents play an important role in the ecology and life history of
 wild and cultivated populations and communities. While most studies focus
 on the adaptation of parasites to their hosts, the adaptation of
 free-living parasite stages to their external (off-host) environment may
 tell us a lot about the factors that shape the distribution of parasites.
 Pasteuria ramosa is an endoparasitic bacterium of the water flea Daphnia
 with a wide geographic distribution. Its transmission stages rest outside
 of the host and thus experience varying environmental regimes. We examined
 the life history of P. ramosa populations from four environmental
 conditions (i.e., groups of habitats): the factorial combinations of
 summer-dry water bodies or not, and winter-freeze water bodies or not. Our
 goal was to examine how the combination of winter temperature and summer
 dryness affects the parasite's ability to attach to its host and to
 infect it. We subjected samples of the four groups of habitats to
 temperatures of 20, 33, 46 and 60˚C in dry and wet conditions, and exposed
 a susceptible clone of Daphnia magna to the treated spores. We found that
 spores that had undergone desiccation endured higher temperatures better
 than spores kept wet, both regarding attachment and subsequent infection.
 Furthermore, spores treated with heightened temperatures were much less
 infective and virulent. Even under high temperatures (60˚C), exposed
 spores from all populations were able to attach to the host cuticle,
 albeit they were unable to establish infection. Our work highlights the
 sensitivity of a host-free resting stage of a bacterial parasite to the
 external environment. Long heatwaves and harsh summers, which are becoming
 more frequent due to recent climate changes, may therefore pose a problem
 for parasite survival.
description: The data was obtained by two designed lab experiments. The
 infection experiment and the attachment experiment. For
 the analysis of the infection experiment, we used only individuals that
 survived long enough to inspect infectivity.  For
 further information Please sea the README file attached.
description: We used R (version 4.1.2) for
 the analysis and the 'ggplot2' package for visualization. We
 fitted generalized linear models (glm) to our dependent variables of
 interest: parasite infectivity, spore production, and host
 reproduction.
DOI: 10.5061/dryad.gf1vhhmtc
title: Effects of Atractylodes Macrocephala Rhizoma polysaccharide on intestinal microbiota composition in rats with mammary gland hyperplasia

description: Background: In recent years, Mammary gland hyperplasia (MGH) has been
 considered to be one of the diseases caused by endocrine disorders. It has
 been shown that diseases caused by endocrine disorders can be treated by
 regulating intestinal microbial. As a commonly used medicine in clinical
 practice, Atractylodes Macrocephala Rhizoma has good functions in
 regulating intestinal homeostasis. Therefore, this paper studied the
 effect of Atractylodes Macrocephala Rhizoma polysaccharide (AMP), on the
 intestinal flora of MGH rats, providing a new idea for polysaccharide
 treatment of MGH. Materials and methods: Eighteen female SD rats were
 selected and randomly divided into three groups, blank control group
 (Con), model control group (Mod) and AMP group, six rats in each group.
 MGH rat models were established by estradiol-progesterone combination and
 treated with AMP gastric infusion. The levels of E2, P and PRL in the
 serum of rats were measured, the intestinal contents were collected, and
 16s rRNA high-throughput sequencing technology was used to analyze the
 changes of intestinal flora in the MGH rats. Results: AMP has good
 therapeutic effects on MGH rats, decreasing estradiol (E2) and prolactin
 (PRL) levels and increasing progesterone (P) levels, at the same time, it
 can regulate the abundance and diversity of intestinal flora of MGH rats,
 improve the disorder of intestinal flora caused by MGH and change the
 community structure, increase the abundance of beneficial flora and
 decrease the abundance of pathogenic flora. Conclusion: AMP can improve
 the intestinal microbiological environment of MGH rats, maintain the
 microecological balance of intestinal microbial, and improve MGH symptoms.
DOI: 10.17632/v9ny4gmpp3
title: Application of XGBoost using data from the oxygen reduction reaction of carbonaceous materials for the electrosynthesis of H2O2

description: This dataset is associated with the article entitled “Application of XGBoost using data from the oxygen reduction reaction of carbonaceous materials for the electrosynthesis of H2O2” and comprises a curated database constructed from experimental data reported in the literature on the cathodic electrosynthesis of hydrogen peroxide (H₂O₂) using carbon-based materials. The database includes experimental operating conditions, physicochemical properties, catalyst characterization parameters, and performance metrics related to H₂O₂ production. Specifically, the dataset covers information derived from X-ray photoelectron spectroscopy (XPS), Raman spectroscopy, Brunauer–Emmett–Teller (BET) surface area analysis, contact angle measurements, and electrical property analyses, as well as electrochemical performance indicators. The data were compiled, organized, and processed to serve as input for the machine learning analyses presented in the associated article, where an XGBoost-based model was developed to evaluate the influence of material properties and experimental conditions on H₂O₂ electrosynthesis efficiency. The dataset was also used for model validation, hyperparameter optimization, and feature relevance analysis. This dataset is provided to support transparency, reproducibility, and further data-driven research in the field of H₂O₂ electrosynthesis and machine learning-assisted catalyst design.
DOI: 10.17632/v9ny4gmpp3.1
title: Application of XGBoost using data from the oxygen reduction reaction of carbonaceous materials for the electrosynthesis of H2O2

description: This dataset is associated with the article entitled “Application of XGBoost using data from the oxygen reduction reaction of carbonaceous materials for the electrosynthesis of H2O2” and comprises a curated database constructed from experimental data reported in the literature on the cathodic electrosynthesis of hydrogen peroxide (H₂O₂) using carbon-based materials. The database includes experimental operating conditions, physicochemical properties, catalyst characterization parameters, and performance metrics related to H₂O₂ production. Specifically, the dataset covers information derived from X-ray photoelectron spectroscopy (XPS), Raman spectroscopy, Brunauer–Emmett–Teller (BET) surface area analysis, contact angle measurements, and electrical property analyses, as well as electrochemical performance indicators. The data were compiled, organized, and processed to serve as input for the machine learning analyses presented in the associated article, where an XGBoost-based model was developed to evaluate the influence of material properties and experimental conditions on H₂O₂ electrosynthesis efficiency. The dataset was also used for model validation, hyperparameter optimization, and feature relevance analysis. This dataset is provided to support transparency, reproducibility, and further data-driven research in the field of H₂O₂ electrosynthesis and machine learning-assisted catalyst design.