cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5878/833p-xm54
title: Rater and algorithm data of maximum reading speed (MRS) and critical print size (CPS) of 101 low vision participants.
title: Rater and algorithm data of maximum reading speed (MRS) and critical print size (CPS) of 101 low vision participants.

description: Data from participants with visual impairment were obtained from a larger dataset, that included more than 500 participants recruited from 4 hospitals, originally collected to study the prevalence and costs of visual impairment in Portugal (PCVIP-study) [18–20]. In the original study, participants were recruited if their medical records indicated at least one of the inclusion criteria: 1) visual acuity in the better seeing eye less than 0.5 decimal (i.e. 6/12; 20/40; 0.3 logMAR); 2) visual field less than 20 degrees. In the present work, we included data collected in only two sites because reading was always tested in the same room. Luminance in each room was respectively 682±7 lux and 455±10 lux, measured at 1m above the floor and away from a direct effect of a ceiling light. Reading curves were obtained binocularly with participants’ “presenting reading glasses”. Reading data was excluded from analysis when the number of data-points corresponded to less than five sentences on the MNREAD test. We ended with a dataset of 101 reading curves. The study protocol was reviewed by the ethics committee for Life Sciences and Health of the University of Minho (REF: SECVS-084/2013) and was conducted in accordance with the principles of the Declaration of Helsinki. Written informed consent was obtained from all participants. The study was registered with the Portuguese data protection authority with the reference 9936/2013 and received approval number 5982/2014.

MNREAD data
Reading performance was measured for each participant using the Portuguese version of the MNREAD acuity chart [21]. Reading distance was adjusted for each participant, to either 20 or 40 cm, according to his/her near visual acuity. Participants were asked to read the chart aloud as fast and accurately as possible, one sentence at a time, starting from the largest print size. For each sentence, reading time and number of misread words were recorded and reported on
a score sheet by the experimenter. Data were then transferred into a digital file and further processed in R [22]. For each individual test, a corresponding MNREAD curve was plotted using the mnreadR package [23] to display log reading speed as a function of print size (see S1 Appendix for all 101 curves). Because the shape of the curve can influence visual estimation of the reading parameters, reading speed was plotted using a logarithmic scale so that reading
speed variability (which is proportional to the overall measure of reading speed) was constant at all speeds.

The dataset was originally published in DiVA and moved to SND in 2024.
DOI: 10.6084/m9.figshare.28350323
title: Exploring Compositional and Technological Strategies to Enhance the Quality of Millet-Based Bread: An Overview of Current and Prospective Outlooks

description: Bread is a globally consumed staple, and incorporating millets into it offers a promising avenue for enhancing nutritional value with added dietary fibers and phytochemicals. However, millet-based breads often exhibit shortcomings such as lower gas retention, specific volume, dense crumb, and a harder texture. To address these issues, a combination of compositional and technological approaches can be employed. Existing literature reveals that the structural and textural challenges in these breads stem largely from gluten dilution. Compositional approaches aid in mimicking the gluten network, improving bread quality, while processing technologies modify flour and biopolymer structures. Rheological characterization shows enhanced dough viscoelasticity through these approaches, providing structural strength during dough expansion. Millet-based breads demonstrate lower glycemic index and improved mineral content, enhancing their commercial viability. However, the distinct baking requirements of millet-based breads have received limited attention. Therefore, for improved baking characteristics, non-conventional baking methods, computational modeling, and microstructural analysis can be employed. This paper explores the feasibility of various compositional and technological approaches, spanning from millet grain to bread, for enhancing the textural and sensory aspects of millet-based breads.
DOI: 10.6084/m9.figshare.28350323.v1
title: Exploring Compositional and Technological Strategies to Enhance the Quality of Millet-Based Bread: An Overview of Current and Prospective Outlooks

description: Bread is a globally consumed staple, and incorporating millets into it offers a promising avenue for enhancing nutritional value with added dietary fibers and phytochemicals. However, millet-based breads often exhibit shortcomings such as lower gas retention, specific volume, dense crumb, and a harder texture. To address these issues, a combination of compositional and technological approaches can be employed. Existing literature reveals that the structural and textural challenges in these breads stem largely from gluten dilution. Compositional approaches aid in mimicking the gluten network, improving bread quality, while processing technologies modify flour and biopolymer structures. Rheological characterization shows enhanced dough viscoelasticity through these approaches, providing structural strength during dough expansion. Millet-based breads demonstrate lower glycemic index and improved mineral content, enhancing their commercial viability. However, the distinct baking requirements of millet-based breads have received limited attention. Therefore, for improved baking characteristics, non-conventional baking methods, computational modeling, and microstructural analysis can be employed. This paper explores the feasibility of various compositional and technological approaches, spanning from millet grain to bread, for enhancing the textural and sensory aspects of millet-based breads.
DOI: 10.6084/m9.figshare.28234416
title: Evidence and Mechanisms of Resveratrol Against Platelet Function: A Literature Review and Network Pharmacology

description: Globally, cardiovascular disease stands as a leading cause of mortality, with platelets pivotal in the pathogenesis of thrombosis and atherosclerosis. Platelet function, including adhesion, activation, aggregation and apoptosis, is critical for hemostasis and thrombosis and is regulated by multiple mechanisms. The utilization of bioactive compounds derived from plants is being regarded as a promising approach for controlling the risk of atherosclerosis cardiovascular disease. Resveratrol (RES) is a polyphenol present in various plants, notably grapes and berries, exhibiting anti-inflammatory, antioxidant, and cardiovascular protective properties. Moreover, RES has been proven to inhibit platelet hyperreactivity in animals and <i>in vitro</i>. In this review, we summarize the anti-platelet mechanisms of RES, which include inhibiting agonist-mediated platelet activation, attenuating COX-1-mediated TXA2 release, enhancing antioxidant capacity, and modulating Sirt1-mediated signaling. We further summarize that the regulation of the gut microbiome and its metabolites, as well as the anti-inflammatory effects, are indirect mechanisms attributed to its low bioavailability. Additionally, we found that RES may exert regulatory effects on the platelet apoptosis via Network Pharmacology Exploration. In conclusion, current evidence suggests that RES demonstrates inhibitory effects on platelet function <i>in vitro</i> and animal models. However, there remains insufficient evidence from population-based studies to be explored.
DOI: 10.6084/m9.figshare.28234416.v1
title: Evidence and Mechanisms of Resveratrol Against Platelet Function: A Literature Review and Network Pharmacology

description: Globally, cardiovascular disease stands as a leading cause of mortality, with platelets pivotal in the pathogenesis of thrombosis and atherosclerosis. Platelet function, including adhesion, activation, aggregation and apoptosis, is critical for hemostasis and thrombosis and is regulated by multiple mechanisms. The utilization of bioactive compounds derived from plants is being regarded as a promising approach for controlling the risk of atherosclerosis cardiovascular disease. Resveratrol (RES) is a polyphenol present in various plants, notably grapes and berries, exhibiting anti-inflammatory, antioxidant, and cardiovascular protective properties. Moreover, RES has been proven to inhibit platelet hyperreactivity in animals and <i>in vitro</i>. In this review, we summarize the anti-platelet mechanisms of RES, which include inhibiting agonist-mediated platelet activation, attenuating COX-1-mediated TXA2 release, enhancing antioxidant capacity, and modulating Sirt1-mediated signaling. We further summarize that the regulation of the gut microbiome and its metabolites, as well as the anti-inflammatory effects, are indirect mechanisms attributed to its low bioavailability. Additionally, we found that RES may exert regulatory effects on the platelet apoptosis via Network Pharmacology Exploration. In conclusion, current evidence suggests that RES demonstrates inhibitory effects on platelet function <i>in vitro</i> and animal models. However, there remains insufficient evidence from population-based studies to be explored.
DOI: 10.17898/adp_sjm171_v1/1
title: sjm171_om1_sl_v1_r1.pdf

description: :unav
DOI: 10.15468/dl.ab4bt5
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Material sample, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Amomum compactum Sol. ex Maton"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084184-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17898/adp_sjm171_v1/2
title: sjm171_om2_sl_v1_r1.pdf

description: :unav
DOI: 10.17898/adp_sjm171_v1/3
title: sjm171_vp1_sl_v1_r1.pdf

description: :unav
DOI: 10.17898/adp_sjm171_v1/4
title: sjm171_p1_sl_v1_r3.tab

description: :unav
DOI: 10.17898/adp_sjm171_v1
title: Slovensko javno mnenje 2017/1

description: Vsebina raziskave je proceduralno ekvivalentna ponovitev Evropske raziskave vrednot. Zajeta so razna področja vrednot in stališč do sodobnih družbenih problemov, kot so religiozne in moralne vrednote, vrednote glede vloge žensk, ekologije, neenakost, vzgoje otrok ipd. Več vprašanj je namenjenih tudi politični aktivnosti, pogledom na družbo, ter stopnji integracije posameznika v družbo merjeno skozi sodelovanje v združenjih in društvih, raven zaupanja v družbi in podobno. Zabeležena je družbena distanca do različnih marginalnih skupin, raven zadovoljstva v življenju in odnos do dela.
DOI: 10.3535/es1-9ts-bc4
title: Ardenna gravis

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.15468/dl.8aasc4
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((5.89482 51.77172,5.89581 51.77079,5.89256 51.7695,5.89405 51.76796,5.90068 51.77088,5.89743 51.77409,5.89341 51.77348,5.89482 51.77172))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2024-2025"
 ]
}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084185-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5878/gxa3-aa94
title: Phenotypic microarray data for three bacterial BCA that were exposed to six different wavelengths
title: Phenotypic microarray data for three bacterial BCA that were exposed to six different wavelengths

description: Phenotypic microarray data (PM 1 and PM 2) involving three bacterial strains, Bacillus amyloliquefaciens DSM7, Pseudomonas chlororaphis 58003, Streptomyces griseoviridis CBS904.68, under six light treatments (Darkness, 420, 460, 530, 630, 660 nm at 50 μmol per m2 per second) with six replicates for each. Each csv file is the raw data for one light treatment and all three bacteria. The output is in OmniLog values, which were measured as a colour change of tetrazolium blue due to respiration. Measurements for the dark treatment occurred every 15 min for 96 hours. For the other treatments manual measurements were taken every: 0, 6, 10, 24, 30, 48, 54, 72, and 96 h post inoculation (hpi). Measurements for the light treatments in the OmniLog incubator took one hour. For more information, please see the README file.
DOI: 10.5878/qg7e-g693
title: Phenotypic microarray data for three bacterial BCA that were exposed to six different wavelengths
title: Phenotypic microarray data for three bacterial BCA that were exposed to six different wavelengths

description: Phenotypic microarray data (PM 1 and PM 2) involving three bacterial strains, Bacillus amyloliquefaciens DSM7, Pseudomonas chlororaphis 58003, Streptomyces griseoviridis CBS904.68, under six light treatments (Darkness, 420, 460, 530, 630, 660 nm at 50 μmol per m2 per second) with six replicates for each. Each csv file is the raw data for one light treatment and all three bacteria. The output is in OmniLog values, which were measured as a colour change of tetrazolium blue due to respiration. Measurements for the dark treatment occurred every 15 min for 96 hours. For the other treatments manual measurements were taken every: 0, 6, 10, 24, 30, 48, 54, 72, and 96 h post inoculation (hpi). Measurements for the light treatments in the OmniLog incubator took one hour. For more information, please see the README file.
DOI: 10.6084/m9.figshare.28776409
title: Longitudinal Maternal Stress, Social Support, and Their Associations with Parental Burnout During the Pandemic

description: <b><i>Objective.</i></b> Some mothers with a tendency to experience stress may have been predisposed to parental burnout during the COVID-19 pandemic in response to the double jeopardy of high burden and low social support. By taking into account parental functioning before the pandemic, the extent of this double jeopardy may be gauged. <b><i>Design.</i></b> This longitudinal Dutch cohort study (<i>N</i> = 1,787) estimated the predictive role of stable maternal stress and the availability of social support during the pandemic for symptoms of parental burnout during the pandemic. Maternal stress was measured at 3 months, 12 months, 2 years, and 4 years after birth, and social support and parental burnout were assessed during the COVID-19 pandemic in 2020, when the children were 8–11 years old. The Trait-State-Occasion model was used to operationalize the underlying stable component of maternal stress from 3 months to 4 years after the birth of the first child, which enabled us to leverage longitudinal data to deliver a best estimate of the parents’ conditions (i.e. how much stress they experienced) before the crisis. <b><i>Results.</i></b> Maternal stress was explained on average for 69% by stable and 31% by occasion-specific components. During the pandemic, stable maternal stress was associated with parental burnout, and higher social support was related to lower symptoms of parental burnout (even after controlling for stable maternal stress). <b><i>Conclusions.</i></b> Maternal stress should be considered as a continuous vulnerability factor in the face of heightened burden and low resources. Furthermore, mothers who experience little or no social support may be at increased risk for thoughts and feelings related to parental burnout when faced with a crisis.
DOI: 10.6084/m9.figshare.28776409.v1
title: Longitudinal Maternal Stress, Social Support, and Their Associations with Parental Burnout During the Pandemic

description: <b><i>Objective.</i></b> Some mothers with a tendency to experience stress may have been predisposed to parental burnout during the COVID-19 pandemic in response to the double jeopardy of high burden and low social support. By taking into account parental functioning before the pandemic, the extent of this double jeopardy may be gauged. <b><i>Design.</i></b> This longitudinal Dutch cohort study (<i>N</i> = 1,787) estimated the predictive role of stable maternal stress and the availability of social support during the pandemic for symptoms of parental burnout during the pandemic. Maternal stress was measured at 3 months, 12 months, 2 years, and 4 years after birth, and social support and parental burnout were assessed during the COVID-19 pandemic in 2020, when the children were 8–11 years old. The Trait-State-Occasion model was used to operationalize the underlying stable component of maternal stress from 3 months to 4 years after the birth of the first child, which enabled us to leverage longitudinal data to deliver a best estimate of the parents’ conditions (i.e. how much stress they experienced) before the crisis. <b><i>Results.</i></b> Maternal stress was explained on average for 69% by stable and 31% by occasion-specific components. During the pandemic, stable maternal stress was associated with parental burnout, and higher social support was related to lower symptoms of parental burnout (even after controlling for stable maternal stress). <b><i>Conclusions.</i></b> Maternal stress should be considered as a continuous vulnerability factor in the face of heightened burden and low resources. Furthermore, mothers who experience little or no social support may be at increased risk for thoughts and feelings related to parental burnout when faced with a crisis.
DOI: 10.3535/e04-ebn-dz1
title: Ardenna carneipes

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.5878/7zs8-5611
title: Multi-sensor dataset for normal air, Methyl Mercaptan and Hydrogen Sulfide gas classification
title: Multi-sensor dataset for normal air, Methyl Mercaptan and Hydrogen Sulfide gas classification

description: The dataset includes time-series data collected by four different sensors, which measure two target gases, Hydrogen Sulfide and Methyl Mercaptan, in the presence of air. To obtain measurements, each gas was individually exposed to the multi-sensor setup while in the presence of air. The dataset is particularly useful for gas classification tasks, as deep learning and data fusion techniques can be applied to identify the target gases.

The dataset comprises time-series data collected by four sensors, which measure two target gases, Hydrogen Sulfide (H2S) and Methyl Mercaptan (CH3SH) in the presence of air. To obtain measurements, each gas was individually exposed to the multi-sensor setup, while maintaining room temperature. Table 2 in the description file presents the distribution of data samples for the target gases collected from the multi-sensor system against the true gas concentration in parts per million (ppm) at two different humidity levels. The dataset file is available in CSV format and contains 9 columns with a total of 654440x4 gas samples. The CSV file also includes additional information on temperature, humidity, and true concentrations of Hydrogen Sulfide and Methyl Mercaptan. Out of the 654440x4 samples, there are 151682x4 samples of Methyl Mercaptan, 126142x4 samples of Hydrogen Sulfide, and the remaining samples are normal air samples.

The dataset was originally published in DiVA and moved to SND in 2024.
DOI: 10.15468/dl.nhp6ym
title: Occurrence Download

description: A dataset containing 300 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pacifastacus leniusculus (Dana, 1852)",
 "Country is Finland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 300 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084187-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5878/nzkq-mz94
title: Multi-sensor dataset for normal air, Methyl Mercaptan and Hydrogen Sulfide gas classification
title: Multi-sensor dataset for normal air, Methyl Mercaptan and Hydrogen Sulfide gas classification

description: The dataset includes time-series data collected by four different sensors, which measure two target gases, Hydrogen Sulfide and Methyl Mercaptan, in the presence of air. To obtain measurements, each gas was individually exposed to the multi-sensor setup while in the presence of air. The dataset is particularly useful for gas classification tasks, as deep learning and data fusion techniques can be applied to identify the target gases.

The dataset comprises time-series data collected by four sensors, which measure two target gases, Hydrogen Sulfide (H2S) and Methyl Mercaptan (CH3SH) in the presence of air. To obtain measurements, each gas was individually exposed to the multi-sensor setup, while maintaining room temperature. Table 2 in the description file presents the distribution of data samples for the target gases collected from the multi-sensor system against the true gas concentration in parts per million (ppm) at two different humidity levels. The dataset file is available in CSV format and contains 9 columns with a total of 654440x4 gas samples. The CSV file also includes additional information on temperature, humidity, and true concentrations of Hydrogen Sulfide and Methyl Mercaptan. Out of the 654440x4 samples, there are 151682x4 samples of Methyl Mercaptan, 126142x4 samples of Hydrogen Sulfide, and the remaining samples are normal air samples.

The dataset was originally published in DiVA and moved to SND in 2024.
DOI: 10.15468/dl.zgamcc
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pacifastacus leniusculus (Dana, 1852)",
 "Country is Estonia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084186-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/8sb-b5v-7sn
title: Ardenna gravis

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/bkd-0yl-c8q
title: Ardenna pacifica pacifica

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.5878/m605-4662
title: Dataset of turnout rates for European Parliament and municipal elections 2009-2018
title: Dataset of turnout rates for European Parliament and municipal elections 2009-2018

description: The inventory catalogues available sources of official information on turnout and electoral registration amongst mobile EU citizens for the two most European Parliament elections, prior to 1 January 2019 (2009 and 2014, except for Croatia in 2013) and the most recent municipal elections to which Directive 94/80/EC applied, prior to 1 January 2019. This inventory was funded by the European Union’s Rights, Equality and Citizenship Programme (2014-2020). The content of this inventory represents the views of the authors only and is their sole responsibility. The European Commission does not accept any responsibility for use that may be made of the information it contains.

Database based on primary sources.

The dataset was originally published in DiVA and moved to SND in 2024.