cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/mbddrpczg5.2
title: Creativity and Gender Role Perception: Examining the Androgynous Advantage

description: The aim of the study is to investigate the role of gender role perception and gender in the context of the creativity of participants. A 2 (androgynous and sex-typed) × 2 (male and female) factorial design has been adopted in the study. Initially, 600 participants (300 females and 300 males) in the age group ranging from 30-45 years and belonging to middle socioeconomic status were purposively chosen for the study. The education of the participants was fixed at graduation. Based on the median split of their scores in the Sahoo Sex Role Inventory, males were classified into 150 androgynous and 150 sex-typed groups. The females were divided into similar subgroups. 60 participants from each group with extreme scores were only considered for further analysis. Subsequently, the participants (androgynous males, sex-typed males, androgynous females and sex-typed females) were compared with respect to their level of creativity. Findings revealed that the participants endorsing androgynous gender role orientation were more creative than the sex-typed participants, which was supported by the literature. No difference has been obtained between males and females with regard to creativity. Further, no significant interaction effect has been observed between gender role perception and gender.
Keywords: androgyny, gender, gender role perception, creativity, sex-type.
DOI: 10.17632/k93jnzbbj2.1
title: High-Resolution Satellite Mapping for Quantitative Evaluation of Soil Texture Thresholds in Crop Drought Stress

description: Soil data.
DOI: 10.17632/9wdc8s62b8.1
title: Hydrochemistry and Radium Isotopes as Fingerprints for Tracing the Enclosed Saline Lake Systems: Global Implications

description: This is supplementary material and the original data, all other data are available in the full paper.
DOI: 10.60797/jbg.2024.26.4.1
title: Частота встречаемости генотипов и аллелей полиморфизмов rs9939609 гена FTO у обследованных женщин из Якутска

description: Journal of Bioinformatics and Genomics, Выпуск 4 (26) 2024
DOI: 10.60797/jbg.2024.26.2.2
title: Влияние обработки почвы на содержание элементов питания

description: Journal of Bioinformatics and Genomics, Выпуск 4 (26) 2024
DOI: 10.60797/jbg.2024.26.4.2
title: Частота встречаемости генотипов и аллелей полиморфизмов rs9939609 гена FTO у женщин из Якутска в зависимости от индекса массы тела и возраста

description: Journal of Bioinformatics and Genomics, Выпуск 4 (26) 2024
DOI: 10.60797/jbg.2024.26.4.3
title: Показатели физического развития новорожденных в зависимости от ИМТ матери

description: Journal of Bioinformatics and Genomics, Выпуск 4 (26) 2024
DOI: 10.60797/jbg.2024.26.2.3
title: Влияние способа обработки почвы на характеристики изменчивости листовой пластины клевера

description: Journal of Bioinformatics and Genomics, Выпуск 4 (26) 2024
DOI: 10.60797/jbg.2024.26.6.3
title: Известное программное обеспечение для молекулярного докинга

description: Journal of Bioinformatics and Genomics, Выпуск 4 (26) 2024
DOI: 10.60797/jbg.2024.26.4.4
title: Динамика массы тела женщин в период беременности и показатели физического развития их новорожденных детей в зависимости от генетического полиморфизма rs9939609 гена FTO у матери

description: Journal of Bioinformatics and Genomics, Выпуск 4 (26) 2024
DOI: 10.60797/jbg.2024.26.5.4
title: Sizes of sets used in ML for antimicrobial activity prediction

description: Journal of Bioinformatics and Genomics, Выпуск 4 (26) 2024
DOI: 10.60797/jbg.2024.26.5.5
title: Sizes of sets used in ML for hemolytic activity prediction

description: Journal of Bioinformatics and Genomics, Выпуск 4 (26) 2024
DOI: 10.60797/jbg.2024.26.5.9
title: Essential parameters of the models

description: Journal of Bioinformatics and Genomics, Выпуск 4 (26) 2024
DOI: 10.15468/p3e5pc
title: Records of vascular plants from the sand area “Voznesenska Asena” (Mykolaiv Region, Ukraine)

description: The dataset contains co-occurrences of 488 occurrences of 171 species of vascular plants recorded from the “Voznesenska Asena” of Southern Bug river sand. The study area is located in the southern part of the steppe zone of Ukraine, in the Mykolaiv administrative Region. The Voznesensk arena of the Southern Buh sands is highly transformed. Almost all of its territory is occupied by artificial forest plantations, used as agricultural land, sand quarries, or built up. Floristic data were collected during the study of anthropogenic habitats in the Voznesensk. .The nomenclature of the dataset is as follows: “Ukrainian Plant Trait Database: UkrTrait v. 1.0” - (Vynokurov et al. 2024).
DOI: 10.15468/dl.g737sc
title: Occurrence Download

description: A dataset containing 1243 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hornungia alpina subsp. auerswaldii (Willk.) O.Appel"
 ]
}

 The dataset includes 1243 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049834-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13842378
title: Data from Doppler-Wind Lidar (DWL) intercomparison measurements at Berlin – Rothenburgstrasse (BEROTH) from 2022-10-05 to 2022-10-24 [RAW]

description: Original data files from DWL measurements.
description: TECHNICAL INFO

No data quality control has been carried out. No gap-filling has been applied. Detailed information about the site and deployment can be found in the urbisphere-Berlin campaign technical documentation.

Files are organised in sub-directories per year and day of year (DOY).

COPYRIGHT NOTICE

Copyright Jörn Birkmann, Andreas Christen, Nektarios Chrysoulakis, and Sue Grimmond. Some rights reserved.

CREATOR NOTICE

This work is owned by the Principal Investigators (PIs) of the Urbisphere project. 

ATTRIBUTION NOTICE

The [creation and] curation of this work has been funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005). 

DISCLAIMER NOTICE

The use of the work is at the user's own risk. The authors, the involved institutions, and/or the European Research Council accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the involved institutions, and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.

MATERIAL NOTICE

The notices cover data in databases, text and images contained in the work.

MATERIAL URI

Urbisphere project
DOI: 10.5281/zenodo.13842379
title: Data from Doppler-Wind Lidar (DWL) intercomparison measurements at Berlin – Rothenburgstrasse (BEROTH) from 2022-10-05 to 2022-10-24 [RAW]

description: Original data files from DWL measurements.
description: TECHNICAL INFO

No data quality control has been carried out. No gap-filling has been applied. Detailed information about the site and deployment can be found in the urbisphere-Berlin campaign technical documentation.

Files are organised in sub-directories per year and day of year (DOY).

COPYRIGHT NOTICE

Copyright Jörn Birkmann, Andreas Christen, Nektarios Chrysoulakis, and Sue Grimmond. Some rights reserved.

CREATOR NOTICE

This work is owned by the Principal Investigators (PIs) of the Urbisphere project. 

ATTRIBUTION NOTICE

The [creation and] curation of this work has been funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005). 

DISCLAIMER NOTICE

The use of the work is at the user's own risk. The authors, the involved institutions, and/or the European Research Council accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the involved institutions, and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.

MATERIAL NOTICE

The notices cover data in databases, text and images contained in the work.

MATERIAL URI

Urbisphere project
DOI: 10.6084/m9.figshare.24224663
title: Enhancing drug-drug Interaction Prediction by Integrating Physiologically-Based Pharmacokinetic Model with Fraction Metabolized by CYP3A4

description: Enhancing the precision of drug–drug interaction (DDI) prediction is essential for improving drug safety and efficacy. The aim is to identify the most effective fraction metabolized by CY3A4 (<i>f</i><sub><i>m</i></sub>) for improving DDI prediction using physiologically based pharmacokinetic (PBPK) models. The <i>f</i><sub><i>m</i></sub> values were determined for 33 approved drugs using a human liver microsome for <i>in vitro</i> measurements and the ADMET Predictor software for in silico predictions. Subsequently, these <i>f</i><sub><i>m</i></sub> values were integrated into PBPK models using the GastroPlus platform. The PBPK models, combined with a ketoconazole model, were utilized to predict AUCR (AUC<sub>combo with ketoconazole</sub>/AUC<sub>dosing alone</sub>), and the accuracy of these predictions was evaluated by comparison with observed AUCR. The integration of <i>in vitro f</i><sub><i>m</i></sub> method demonstrates superior performance compared to the in silico <i>f</i><sub><i>m</i></sub> method and <i>f</i><sub><i>m</i></sub> of 100% method. Under the Guest-limits criteria, the integration of <i>in vitro f</i><sub><i>m</i></sub> achieves an accuracy of 76%, while the in silico <i>f</i><sub><i>m</i></sub> and <i>f</i><sub><i>m</i></sub> of 100% methods achieve accuracies of 67% and 58%, respectively. Our study highlights the importance of <i>in vitro f</i><sub><i>m</i></sub> data to improve the accuracy of predicting DDIs and demonstrates the promising potential of in silico <i>f</i><sub><i>m</i></sub> in predicting DDIs.
DOI: 10.6084/m9.figshare.24224663.v1
title: Enhancing drug-drug Interaction Prediction by Integrating Physiologically-Based Pharmacokinetic Model with Fraction Metabolized by CYP3A4

description: Enhancing the precision of drug–drug interaction (DDI) prediction is essential for improving drug safety and efficacy. The aim is to identify the most effective fraction metabolized by CY3A4 (<i>f</i><sub><i>m</i></sub>) for improving DDI prediction using physiologically based pharmacokinetic (PBPK) models. The <i>f</i><sub><i>m</i></sub> values were determined for 33 approved drugs using a human liver microsome for <i>in vitro</i> measurements and the ADMET Predictor software for in silico predictions. Subsequently, these <i>f</i><sub><i>m</i></sub> values were integrated into PBPK models using the GastroPlus platform. The PBPK models, combined with a ketoconazole model, were utilized to predict AUCR (AUC<sub>combo with ketoconazole</sub>/AUC<sub>dosing alone</sub>), and the accuracy of these predictions was evaluated by comparison with observed AUCR. The integration of <i>in vitro f</i><sub><i>m</i></sub> method demonstrates superior performance compared to the in silico <i>f</i><sub><i>m</i></sub> method and <i>f</i><sub><i>m</i></sub> of 100% method. Under the Guest-limits criteria, the integration of <i>in vitro f</i><sub><i>m</i></sub> achieves an accuracy of 76%, while the in silico <i>f</i><sub><i>m</i></sub> and <i>f</i><sub><i>m</i></sub> of 100% methods achieve accuracies of 67% and 58%, respectively. Our study highlights the importance of <i>in vitro f</i><sub><i>m</i></sub> data to improve the accuracy of predicting DDIs and demonstrates the promising potential of in silico <i>f</i><sub><i>m</i></sub> in predicting DDIs.
DOI: 10.6084/m9.figshare.28099616
title: All Sequences.txt

description: 16S rRNA gene sequence
DOI: 10.6084/m9.figshare.28099616.v1
title: All Sequences.txt

description: 16S rRNA gene sequence
DOI: 10.15468/dl.33t94k
title: Occurrence Download

description: A dataset containing 302 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyclopia subternata Vogel"
 ]
}

 The dataset includes 302 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0142304-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3epnzj
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015429-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zpn26j
title: Occurrence Download

description: A dataset containing 326732 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Platanus L."
 ]
}

 The dataset includes 326732 records from 906 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0235358-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f2o4ac
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010038-160118175350007/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5v2778
title: Occurrence Download

description: A dataset containing 5015 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-75.33487 10.62513,-75.39069 10.54551,-75.27452 10.46406,-75.21869 10.54367,-75.33487 10.62513))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5015 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071324-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.939j6a
title: Occurrence Download

description: A dataset containing 4056 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((14 0,97 0,97 60,14 60,14 0))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cynodon dactylon (L.) Pers."
 ]
}

 The dataset includes 4056 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0142305-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e55tzd
title: Occurrence Download

description: A dataset containing 612 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Kinixys spekii Gray, 1863"
 ]
}

 The dataset includes 612 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071326-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vxsjmx
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010107-160118175350007/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mhrc6u
title: Occurrence Download

description: A dataset containing 1990457211 species occurrences available in GBIF matching the query:
{ }

 The dataset includes 1990457211 records from 18346 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001683-171124123535762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive153760.20250331.9.3
title: Streptococcus pseudopneumoniae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive153760.20251217.10
title: Streptococcus pseudopneumoniae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive153761.20250331.9.3
title: Streptococcus pseudopneumoniae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive153761.20251217.10
title: Streptococcus pseudopneumoniae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive153762.20241212.9.2
title: Streptococcus pyogenes

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0140862.10fu
title: SH0140862.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive153762.20251217.10
title: Streptococcus pyogenes

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0140863.10fu
title: SH0140863.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive153763.20241212.9.2
title: Aerococcus viridans

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive153763.20251217.10
title: Aerococcus viridans

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0140864.10fu
title: SH0140864.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive153764.20241212.9.2
title: Gemella sanguinis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive153764.20251217.10
title: Gemella sanguinis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive153765.20241212.9.2
title: Streptococcus sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive153765.20251217.10
title: Streptococcus sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0140865.10fu
title: SH0140865.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.