cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7713982
title: Sex-dimorphic pathways in the associations between maternal trait anxiety, infant BDNF methylation and negative emotionality

description: This database includes the raw data linked with the paper “Sex-dimorphic pathways in the associations between maternal trait anxiety, infant BDNF methylation and negative emotionality” accepted for publication on Development and Psychopathology. This study is part of the longitudinal and multi-centric “Measuring the outcomes of maternal COVID-19-related prenatal exposure (MOM-COPE)” study. Here, we report on the sex-dependent effects of antenatal exposure to maternal anxiety on infants’ methylation levels of the BDNF gene at birth and on negative emotionality trajectories from 3 to 6 months of age. Procedures Mother–infant dyads (N = 276) were recruited at delivery. Maternal trait anxiety, as a marker of antenatal chronic stress exposure, was assessed soon after delivery using the Stait-Trait Anxiety Inventory (STAI-Y). Infants’ BDNF DNAm at birth was assessed in 11 CpG sites in buccal cells whereas infants’ NE was assessed at 3 (N = 225) and 6 months (N = 189) using the Infant Behavior Questionnaire-Revised (IBQ-R). Analytical plan Principal component analysis (PCA) was used to reduce the number of CpG sites into a smaller set of factors. The PCA yielded 2 principal components: PC1 (composed of 6 CpG sites) and PC2 (composed of 5 CpG sites). Separate hierarchical regression analyses were performed to evaluate the independent and interactive effects of infant gender and maternal anxiety on infant methylation levels. Hierarchical linear models (HLMs) were performed to investigate sex-dimorphic associations between infant NE trajectory from 3 to 6 months and maternal trait anxiety or infant BDNF methylation. Findings in brief Higher maternal antenatal anxiety was associated with greater 6-month-olds’ NE. Furthermore, maternal antenatal anxiety predicted greater infants’ BDNF methylation in five CpG sites in males but not in females. Higher methylation at these sites was associated with greater 3-to-6-month NE increase, independently of infants’ sex.
DOI: 10.5281/zenodo.7713981
title: Sex-dimorphic pathways in the associations between maternal trait anxiety, infant BDNF methylation and negative emotionality

description: This database includes the raw data linked with the paper “Sex-dimorphic pathways in the associations between maternal trait anxiety, infant BDNF methylation and negative emotionality” accepted for publication on Development and Psychopathology. This study is part of the longitudinal and multi-centric “Measuring the outcomes of maternal COVID-19-related prenatal exposure (MOM-COPE)” study. Here, we report on the sex-dependent effects of antenatal exposure to maternal anxiety on infants’ methylation levels of the BDNF gene at birth and on negative emotionality trajectories from 3 to 6 months of age. Procedures Mother–infant dyads (N = 276) were recruited at delivery. Maternal trait anxiety, as a marker of antenatal chronic stress exposure, was assessed soon after delivery using the Stait-Trait Anxiety Inventory (STAI-Y). Infants’ BDNF DNAm at birth was assessed in 11 CpG sites in buccal cells whereas infants’ NE was assessed at 3 (N = 225) and 6 months (N = 189) using the Infant Behavior Questionnaire-Revised (IBQ-R). Analytical plan Principal component analysis (PCA) was used to reduce the number of CpG sites into a smaller set of factors. The PCA yielded 2 principal components: PC1 (composed of 6 CpG sites) and PC2 (composed of 5 CpG sites). Separate hierarchical regression analyses were performed to evaluate the independent and interactive effects of infant gender and maternal anxiety on infant methylation levels. Hierarchical linear models (HLMs) were performed to investigate sex-dimorphic associations between infant NE trajectory from 3 to 6 months and maternal trait anxiety or infant BDNF methylation. Findings in brief Higher maternal antenatal anxiety was associated with greater 6-month-olds’ NE. Furthermore, maternal antenatal anxiety predicted greater infants’ BDNF methylation in five CpG sites in males but not in females. Higher methylation at these sites was associated with greater 3-to-6-month NE increase, independently of infants’ sex.
DOI: 10.5281/zenodo.7713963
title: Social cognition in Chronic Migraine with Medication Overuse: Do you mind what I think?

description: This is the processed data for the manuscript “Bottiroli S, Rosi A, Sances G, Allena M, De Icco R, Lecce S, Vecchi T, Tassorelli C, Cavallini E. Social cognition in Chronic Migraine with Medication Overuse: Do you mind what I think?. To be submitted to JAMA Network Open”. Dataset refers to a study aimed to outline the socio-cognitive profile of patients with Chronic Migraine with Medication Overuse (CM+MO). Given the multidimensionality of the socio-cognitive construct, we considered: (1) socio-cognitive abilities, (2) socio-cognitive beliefs, (3) alexithymia and autism traits, and (4) social relationships. Two hundred and twelve subjects were enrolled, of which 71 suffered from CM+MO, 61 from episodic migraine (EM), and 80 were healthy controls (HC). All participants were assessed with a comprehensive socio-cognitive battery that included: (1) the Faux pas test (FP), the Strange Stories task (SS), the Reading Mind in the Eyes test (RMET), (2) the Tromso Social Intelligence Scale, (3) the Toronto Alexithymia Scale, (4) the Lubben Social Network Scale – Revised and the Friendship Scale. Data showed that CM+MO: (1) performed similar to EM but worse than HC in the FP and SS tests, while they were worse than the other two groups in the RMET; (2) were similar to EM and HC in terms of social intelligence; (3) had more alexithymic and autistic traits than EM and HC; and (4) reported higher levels of contact with their family members but felt little support from the people around them than HC. These results suggest that CM+MO patients are characterized by a profile of compromised socio-cognitive abilities that affects different dimensions.
DOI: 10.5281/zenodo.7713962
title: Social cognition in Chronic Migraine with Medication Overuse: Do you mind what I think?

description: This is the processed data for the manuscript “Bottiroli S, Rosi A, Sances G, Allena M, De Icco R, Lecce S, Vecchi T, Tassorelli C, Cavallini E. Social cognition in Chronic Migraine with Medication Overuse: Do you mind what I think?. To be submitted to JAMA Network Open”. Dataset refers to a study aimed to outline the socio-cognitive profile of patients with Chronic Migraine with Medication Overuse (CM+MO). Given the multidimensionality of the socio-cognitive construct, we considered: (1) socio-cognitive abilities, (2) socio-cognitive beliefs, (3) alexithymia and autism traits, and (4) social relationships. Two hundred and twelve subjects were enrolled, of which 71 suffered from CM+MO, 61 from episodic migraine (EM), and 80 were healthy controls (HC). All participants were assessed with a comprehensive socio-cognitive battery that included: (1) the Faux pas test (FP), the Strange Stories task (SS), the Reading Mind in the Eyes test (RMET), (2) the Tromso Social Intelligence Scale, (3) the Toronto Alexithymia Scale, (4) the Lubben Social Network Scale – Revised and the Friendship Scale. Data showed that CM+MO: (1) performed similar to EM but worse than HC in the FP and SS tests, while they were worse than the other two groups in the RMET; (2) were similar to EM and HC in terms of social intelligence; (3) had more alexithymic and autistic traits than EM and HC; and (4) reported higher levels of contact with their family members but felt little support from the people around them than HC. These results suggest that CM+MO patients are characterized by a profile of compromised socio-cognitive abilities that affects different dimensions.
DOI: 10.5281/zenodo.8191963
title: Raw data accompanying the manuscript "Uptake of microplastics and impacts on plant traits of savoy cabbage"

description: These are the raw datasets used to generate Figure 1 for the manuscript entitled "Uptake of microplastics and impacts on plant traits of savoy cabbage". The folders contain all raw CARS and SRS data that are needed to reproduce Figure 1 (TIFF format).
DOI: 10.5281/zenodo.8191962
title: Raw data accompanying the manuscript "Uptake of microplastics and impacts on plant traits of savoy cabbage"

description: These are the raw datasets used to generate Figure 1 for the manuscript entitled "Uptake of microplastics and impacts on plant traits of savoy cabbage". The folders contain all raw CARS and SRS data that are needed to reproduce Figure 1 (TIFF format).
DOI: 10.5281/zenodo.8191878
title: Genetic variation data derived from ferret transmission experiments of avian H3N8 influenza viruses

description: Supplementary Dataset 1. Genetic variation data derived from ferret transmission experiment of HN/4-10 virus<br> Supplementary Dataset 2. Genetic variation data derived from ferret transmission experiment of CS/1000 virus<br> Supplementary Dataset 3. Genetic variation data derived from ferret transmission experiment of CK/FE12 virus<br> Supplementary Dataset 4. Genetic variation data derived from ferret transmission experiment of CK/F0316 virus
DOI: 10.5281/zenodo.8191337
title: Genetic variation data derived from ferret transmission experiments of avian H3N8 influenza viruses

description: Supplementary Dataset 1. Genetic variation data derived from ferret transmission experiment of HN/4-10 virus<br> Supplementary Dataset 2. Genetic variation data derived from ferret transmission experiment of CS/1000 virus<br> Supplementary Dataset 3. Genetic variation data derived from ferret transmission experiment of CK/FE12 virus<br> Supplementary Dataset 4. Genetic variation data derived from ferret transmission experiment of CK/F0316 virus
DOI: 10.34740/kaggle/dsv/6209426
title: Egypt Gold Prices | Daily Updated
DOI: 10.6084/m9.figshare.14454609
title: Phytogeographic regions and geographic distance do not predict genetic structure in the orchid bee <i>Euglossa cordata</i>

description: Herein, we investigated the genetic diversity and population structure of <i>Euglossa cordata</i> L., an orchid bee species widely distributed at the heterogeneous set of vegetal physiognomies encompassed in a transition zone (TZ) of different Brazilian biomes. We then tested whether phytogeographic regions would play some rule for the genetic diversity. Results revealed that only 12 and 28 out 78 pairs of samples showed some degree of genetic structure for microsatellites (<i>F</i><sub>ST</sub>≤ 0.029; <i>D<sub>est</sub></i>≤0.091; p ST≤ 0.495; p E. cordata may have experienced some local bottlenecks despite its resilience to anthropic interferences. These are the first records of relatively high genetic structure in <i>E. cordata</i> populations and have important implications for orchid bees’ conservation.
DOI: 10.6084/m9.figshare.14454609.v1
title: Phytogeographic regions and geographic distance do not predict genetic structure in the orchid bee <i>Euglossa cordata</i>

description: Herein, we investigated the genetic diversity and population structure of <i>Euglossa cordata</i> L., an orchid bee species widely distributed at the heterogeneous set of vegetal physiognomies encompassed in a transition zone (TZ) of different Brazilian biomes. We then tested whether phytogeographic regions would play some rule for the genetic diversity. Results revealed that only 12 and 28 out 78 pairs of samples showed some degree of genetic structure for microsatellites (<i>F</i><sub>ST</sub>≤ 0.029; <i>D<sub>est</sub></i>≤0.091; p ST≤ 0.495; p E. cordata may have experienced some local bottlenecks despite its resilience to anthropic interferences. These are the first records of relatively high genetic structure in <i>E. cordata</i> populations and have important implications for orchid bees’ conservation.
DOI: 10.6084/m9.figshare.19935926
title: Honeys derived from plants of the coastal sandplains of Western Australia: antibacterial and antioxidant activity, and other characteristics

description: Honeys produced by <i>Apis mellifera</i> from different flowering plants can vary widely in their characteristics. Some floral sources yield honeys with especially high antibacterial and/or antioxidant activity, which may be candidates for further evaluation as therapeutic agents. This study investigated 115 honeys harvested from three Western Australian coastal bioregions: the Swan coastal plain, Geraldton sandplains and Dampierland. Honeys were derived from a range of floral sources, including <i>Agonis</i>, <i>Banksia</i>, <i>Calothamnus</i>, <i>Callistemon</i>, <i>Eucalyptus</i>, <i>Leptospermum</i> and <i>Melaleuca</i>, and several multifloral honeys including wildflower honey were also included. HPTLC fingerprinting was used to analyse the phenolics fractions of all honeys and fingerprints were analysed to attempt to verify the floral source of each honey. Typical fingerprints were discernible for the four honeys derived from <i>Agonis flexuosa</i>, <i>Banksia sessilis</i>, <i>Banksia menziesii</i> and <i>Calothamnus</i>. Antibacterial and anti-oxidant activity was quantified for all honeys and showed that <i>Calothamnus</i> honeys had the highest activity for both, and also contained the highest levels of phenolics. Hydrogen peroxide, colour and water content were also determined. Data obtained for all 115 honeys were analysed by principal component analysis to investigate broad trends, and showed that colour, total phenolics and antioxidant activity correlated strongly, whereas antibacterial activity was not strongly correlated with any other factors. Data obtained for individual floral sources were analysed by one-way analysis of variance and revealed significant differences between some honey types, supporting the hypothesis that honeys derived from different floral sources vary in important characteristics such as antibacterial and antioxidant activity.
DOI: 10.6084/m9.figshare.19935926.v1
title: Honeys derived from plants of the coastal sandplains of Western Australia: antibacterial and antioxidant activity, and other characteristics

description: Honeys produced by <i>Apis mellifera</i> from different flowering plants can vary widely in their characteristics. Some floral sources yield honeys with especially high antibacterial and/or antioxidant activity, which may be candidates for further evaluation as therapeutic agents. This study investigated 115 honeys harvested from three Western Australian coastal bioregions: the Swan coastal plain, Geraldton sandplains and Dampierland. Honeys were derived from a range of floral sources, including <i>Agonis</i>, <i>Banksia</i>, <i>Calothamnus</i>, <i>Callistemon</i>, <i>Eucalyptus</i>, <i>Leptospermum</i> and <i>Melaleuca</i>, and several multifloral honeys including wildflower honey were also included. HPTLC fingerprinting was used to analyse the phenolics fractions of all honeys and fingerprints were analysed to attempt to verify the floral source of each honey. Typical fingerprints were discernible for the four honeys derived from <i>Agonis flexuosa</i>, <i>Banksia sessilis</i>, <i>Banksia menziesii</i> and <i>Calothamnus</i>. Antibacterial and anti-oxidant activity was quantified for all honeys and showed that <i>Calothamnus</i> honeys had the highest activity for both, and also contained the highest levels of phenolics. Hydrogen peroxide, colour and water content were also determined. Data obtained for all 115 honeys were analysed by principal component analysis to investigate broad trends, and showed that colour, total phenolics and antioxidant activity correlated strongly, whereas antibacterial activity was not strongly correlated with any other factors. Data obtained for individual floral sources were analysed by one-way analysis of variance and revealed significant differences between some honey types, supporting the hypothesis that honeys derived from different floral sources vary in important characteristics such as antibacterial and antioxidant activity.
DOI: 10.6084/m9.figshare.20297180
title: A new fluorescent method to determine honey bee sperm motility parameters with computer-aided sperm analysis

description: Honey bees are a keystone species, playing an important role in the food cycle. Improving honey bee reproduction will aid in the replacement of lost colonies. Fertility potential and reproductive health are dependent on semen and sperm quality. Current data on drone semen parameters are limited to semen volume, sperm concentration, sperm viability, and the assignment of sperm motility grade scores. The assessment of drone sperm motility is of importance to determine fertility potential and colony health. This study aimed to establish a quantitative and a qualitative method to measure drone sperm quality, and the fertility potential of <i>Apis mellifera capensis</i> subspecies of South Africa. Firstly, an improved five-point semi-quantitative manual motility index score was used to classify drone sperm motility. Secondly, it was possible to accurately analyse drone sperm motility qualitatively using a fluorescent technique in conjunction with a computer-aided sperm analysis (CASA) system. Manual motility index scores corresponded with total motility percentages as determined by using a CASA system. Furthermore, low values for motility kinematic parameters, particularly velocity parameters, were obtained in samples with both low motility index scores and low total motility percentages. Additionally, total sperm motility percentage and velocity parameters positively correlated with sperm total progressivity. This study provides in-depth data on honey bee drone sperm motility and motility kinematic parameters, which can serve as a reference for future studies on honey bee sperm and possibly related species.
DOI: 10.6084/m9.figshare.20297180.v1
title: A new fluorescent method to determine honey bee sperm motility parameters with computer-aided sperm analysis

description: Honey bees are a keystone species, playing an important role in the food cycle. Improving honey bee reproduction will aid in the replacement of lost colonies. Fertility potential and reproductive health are dependent on semen and sperm quality. Current data on drone semen parameters are limited to semen volume, sperm concentration, sperm viability, and the assignment of sperm motility grade scores. The assessment of drone sperm motility is of importance to determine fertility potential and colony health. This study aimed to establish a quantitative and a qualitative method to measure drone sperm quality, and the fertility potential of <i>Apis mellifera capensis</i> subspecies of South Africa. Firstly, an improved five-point semi-quantitative manual motility index score was used to classify drone sperm motility. Secondly, it was possible to accurately analyse drone sperm motility qualitatively using a fluorescent technique in conjunction with a computer-aided sperm analysis (CASA) system. Manual motility index scores corresponded with total motility percentages as determined by using a CASA system. Furthermore, low values for motility kinematic parameters, particularly velocity parameters, were obtained in samples with both low motility index scores and low total motility percentages. Additionally, total sperm motility percentage and velocity parameters positively correlated with sperm total progressivity. This study provides in-depth data on honey bee drone sperm motility and motility kinematic parameters, which can serve as a reference for future studies on honey bee sperm and possibly related species.
DOI: 10.6084/m9.figshare.20342106
title: High accuracy monitoring of honey bee colony development by a quantitative method

description: Honey bees are key insect pollinators, providing important economic and ecological value for human beings and ecosystems. This has triggered the development of several monitoring methods for assessing the temporal development of colony size, food storage, brood and pathogens. Nonetheless, most of these methods are based on visual assessments that are observer-dependent and prone to bias. Furthermore, the impact on colony development (invasiveness), as well as accuracy, were rarely considered when implementing new methods. In this study, we present and test a novel accurate and observer-independent method for honey bee colony assessment, capable of being fully standardized. Honey bee colony size is quantified by assessing the weight of adult bees, while brood and provision are assessed by taking photos and conducting image analysis of the combs with the image analysis software Deepbee®. The invasiveness and accuracy of the method were investigated using field data from two experimental apiaries in Portugal, comparing results from test and control colonies. At the end of each field experiment, most of the tested colonies had the same colony size, brood levels and honey production as the control colonies. Nonetheless, continuous weight data indicated some disturbance in tested colonies in the first year of monitoring. The overall accuracy of the image analysis software was improved by training, indicating that it is possible to adapt the software to local conditions. We conclude that the use of this fully quantitative method offers a more accurate alternative to classic visual colony assessments, with negligible impact on colony development.
DOI: 10.6084/m9.figshare.20342106.v1
title: High accuracy monitoring of honey bee colony development by a quantitative method

description: Honey bees are key insect pollinators, providing important economic and ecological value for human beings and ecosystems. This has triggered the development of several monitoring methods for assessing the temporal development of colony size, food storage, brood and pathogens. Nonetheless, most of these methods are based on visual assessments that are observer-dependent and prone to bias. Furthermore, the impact on colony development (invasiveness), as well as accuracy, were rarely considered when implementing new methods. In this study, we present and test a novel accurate and observer-independent method for honey bee colony assessment, capable of being fully standardized. Honey bee colony size is quantified by assessing the weight of adult bees, while brood and provision are assessed by taking photos and conducting image analysis of the combs with the image analysis software Deepbee®. The invasiveness and accuracy of the method were investigated using field data from two experimental apiaries in Portugal, comparing results from test and control colonies. At the end of each field experiment, most of the tested colonies had the same colony size, brood levels and honey production as the control colonies. Nonetheless, continuous weight data indicated some disturbance in tested colonies in the first year of monitoring. The overall accuracy of the image analysis software was improved by training, indicating that it is possible to adapt the software to local conditions. We conclude that the use of this fully quantitative method offers a more accurate alternative to classic visual colony assessments, with negligible impact on colony development.
DOI: 10.5281/zenodo.8192052
title: Strategies for optimal sky subtraction in the low surface brightness regime

description: Synthetic source master images and associated source property catalogues used in the study "Strategies for optimal sky subtraction in the low surface brightness regime" (Watkins et al.).
DOI: 10.5281/zenodo.8192051
title: Strategies for optimal sky subtraction in the low surface brightness regime

description: Synthetic source master images and associated source property catalogues used in the study "Strategies for optimal sky subtraction in the low surface brightness regime" (Watkins et al.).
DOI: 10.48420/23798886
title: Microanalysis of MXene synthesis products I

description: The composition of Ti3C2Tz synthesis products and sediments are obtained using microanalytical techniques.For full detail of the experiment conducted and uploaded data, please see the attached .pdf.