cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34808/kp57-ed91
title: Impact of binary mixtures of Irgasan (triclosan) and Diclofenac on endocrine processes of the model organism Saccharomyces Cerevisiae (using XenoScreen YES/YAS test)

description: Data shown in data set illustrate the results of the edorin processes of the Irgasan (triclosan) mixture with diclofenac.  S cerevisiae is used as a model organism in the monitoring of endocrine disruptors in environmental and reference samples in Xenometrix® systems - XenoScreen®.  Triclosan have bakeriosis and fungicide properties  used in personal hygiene products, among others and the other - diclofenac, is non-steroidal anti-inflammatory drug.



The XenoScreen YES/YAS reagents and methodology is given in Kudłak et al. (2019) and in details in electronic supplementary material.
Studies were conducted between 2016.These results are part of the manuscript published in Science of the Total Environment
(Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie)10.1016/j.scitotenv.2020.137358)
DOI: 10.15468/dl.cd8dm6
title: Occurrence Download

description: A dataset containing 147 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aquilaria sinensis (Lour.) Spreng)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 147 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0107371-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13384755
title: Drug Repurposing Central Usage Statistics Matomo

description: Usage for the Open Science publishing portal Drug Repurposing Central created by ScienceOpen as part of the REPO4EU project. This dataset contains visits over time via Matomo Analytics. Current time frame is 01 September, 2023 to 31 August, 2024.
DOI: 10.5281/zenodo.13384756
title: Drug Repurposing Central Usage Statistics Matomo

description: Usage for the Open Science publishing portal Drug Repurposing Central created by ScienceOpen as part of the REPO4EU project. This dataset contains visits over time via Matomo Analytics. Current time frame is 01 September, 2023 to 31 August, 2024.
DOI: 10.48323/83t4j-yny72
title: small molecule nmr and ms data - publication: Synthesis of [7-15N]-GTPs for RNA structure and dynamics by NMR spectroscopy
DOI: 10.5281/zenodo.2597498
title: Ultra-fast time-lapse synchrotron radiation CT imaging of compressive failure in unidirectional glass fibre-epoxy composite

description: This series of ultra-fast X-ray computed tomography datasets were acquired on the TOMCAT beamline at the Swiss Light Source by the composite group at Henry Moseley X-ray Imaging Facility (within the Henry Royce Institute @Manchester).

The experiment was designed to help understand the catastrophic failure of unidirectional fibre reinforced composites under compression, as part of Ying Wang's PhD project (<em>Damage Mechanisms Associated with Kink-Band Formation in Unidirectional Fibre Composites</em>) supervised by Prof. Philip J. Withers.

A notched unidirectional glass fibre-epoxy composite specimen was loaded in-situ under compression in a tension/compression rig developed at INSA-Lyon. An initial scan of the composite gauge section was taken before loading (GFRP_Initial.zip), and the composite specimen was continuously loaded and imaged when approaching its failure (GFRP_Continuous_No0.zip and GFRP_Continuous_No12.zip).

The CT acquisition speed attained 1 tomogram per second. The voxel size of the reconstructed CT data-sets is (1.1 μm)<sup>3</sup>.

For use of the data, please cite the DOI of the repository and relevant papers -

<em>Wang, Y., Garcea, S. C., Lowe, T., Maire, E., Soutis, C. and Withers, P. J. (2016). Ultra-fast time-lapse synchrotron radiographic imaging of compressive failure in CFRP. In ECCM16-16th European Conference on Composite Materials, Munich, Germany.</em>

<em>Emerson, M. J., Wang, Y., Withers, P. J., Conradsen, K., Dahl, A. B., and Dahl, V. A. (2018). Quantifying fibre reorientation during axial compression of a composite through time-lapse X-ray imaging and individual fibre tracking. Composites Science and Technology, 168, 47-54. </em>

Please also acknowledge EPSRC and ERC support in the acknowledgements, including

<em>Engineering and Physical Science Research Council (EPSRC) for funding the Henry Moseley X-ray Imaging Facility within the Henry Royce Institute through grants (EP/F007906/1, EP/F001452/1, EP/I02249X, EP/M010619/1, EP/F028431/1, and EP/M022498/1)</em>

<em> European Research Council grant No 695638 CORREL-CT.</em>
description: We acknowledge the Engineering and Physical Science Research Council (EPSRC) for funding the Henry Moseley X-ray Imaging Facility within the Henry Royce Institute through grants (EP/F007906/1, EP/F001452/1, EP/I02249X, EP/M010619/1, EP/F028431/1, and EP/M022498/1). PJW acknowledges support from the European Research Council grant No 695638 CORREL-CT.
DOI: 10.15468/dl.nmnvw9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aquilaria yunnanensis S.C.Huang)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0107373-240626123714530/datasets/export for details.
DOI: 10.15468/dl.unnhxk
title: Occurrence Download

description: A dataset containing 1956 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cratoxylum cochinchinense (Lour.) Blume"
 ]
}

 The dataset includes 1956 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0107374-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a94b63
title: Occurrence Download

description: A dataset containing 24561 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Hyphantria cunea (Drury, 1773)",
 "Year 1984-2024"
 ]
}

 The dataset includes 24561 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0107372-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m92mj7
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Ornithoctonus Pocock, 1892"
 ]
}

 The dataset includes 23 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0107375-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ne9mc
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Ornithoctonus Pocock, 1892"
 ]
}

 The dataset includes 23 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0107376-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.untckk
title: Occurrence Download

description: A dataset containing 5725 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aquilegia coerulea James)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5725 records from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0107377-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fr29za
title: Occurrence Download

description: A dataset containing 1253 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aquilegia oxysepala Trautv. & C.A.Mey.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1253 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0107378-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ksc8yx
title: Occurrence Download

description: A dataset containing 1090 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Hong Kong, Macao, Chinese Taipei)",
 "TaxonKey is Amaranthus spinosus L."
 ]
}

 The dataset includes 1090 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0107379-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yg3byx
title: Occurrence Download

description: A dataset containing 13856500 species occurrences available in GBIF matching the query:
{
 "PublishingOrg" : [
 "is da86174a-a605-43a4-a5e8-53d484152cd3"
 ]
}

 The dataset includes 13856500 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0107362-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ytm8qq
title: Occurrence Download

description: A dataset containing 46805 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Arabidopsis arenosa (L.) Lawalrée)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 46805 records from 267 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0107380-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e131701v2
title: COREQ checklist: Contextualizing adolescents’ self-awareness of problematic mobile phone use: a preliminary study

description: Consolidated criteria for reporting qualitative studies (COREQ): 32-item checklist.
DOI: 10.3886/e112748v1-78623
title: Replication data for: How University Endowments Respond to Financial Market Shocks: Evidence and Implications

description: Endowment payouts have become an increasingly important component of universities' revenues in recent decades. We study how universities respond to financial shocks to endowments and thus shed light on a number of existing models of endowment behavior. Endowments actively reduce payouts relative to their stated payout policies following negative, but not positive, shocks. This asymmetric behavior is consistent with "endowment hoarding," especially among endowments whose current value is close to the benchmark value at the start of the university president's tenure. We also document the effect of negative endowment shocks on university operations, such as personnel cuts.
DOI: 10.3886/e131102v1
title: Core Academic Language Skills Instrument (CALS-I) & Evaluación de Lenguaje Académico (ELA)

description: Core Academic Language Skills Instrument (CALS-I) & Evaluación de Lenguaje Académico (ELA)<br><br>The Core Academic Language Skills Instrument (CALS-I) (English) and Evaluación de Lenguaje Académico (ELA) (Spanish) are psychometrically-robust measures designed to capture academic language skills in 4-8th grade students. <br>
DOI: 10.25439/rmt.12660266
title: Lyotropic liquid crystal phases of CTAB in aqueous non-stoichiometric protic ionic liquids

description: <br>This consists of 1D SAXS patterns of CTAB in aqueous non-stoichiometric solvents containing ethylammonium nitrate (EAN) or ethanolammonium nitrate (EtAN). Data included for 50 and 70 wt% CTAB at temperatures between 25 to 75 oC. All data was collected at ANSTO, Australian Synchrotron SAXS/WAXS beamline.<br>SAXS data corresponding to publication titled: Lyotropic liquid crystal phase behaviour of a cationic amphiphile in aqueous and non-stoichiometric protic ionic liquid mixtures.<b><br></b><br> <b>Article Abstract</b> Protic ionic liquids (PILs) are the largest and most tailorable known class of solvents which possess the ability to support amphiphile self-assembly. In this study, the lyotropic liquid crystal phase (LLCP) behavior of the cationic surfactant cetyltrimethylammonium bromide (CTAB) was investigated in ethylammonium nitrate (EAN) and ethanolammonium nitrate (EtAN) derived multi-component solvent systems to determine phase formation and diversity with changing solvent composition. The solvent systems were composed of water, nitric acid and ethylamine (or ethanolamine), with 26 unique compositions for each PIL covering the apparent pH and ionicity ranges of 0-13.5 and 0-11 M, respectively. The LLCPs were studied using cross polarized optical microscopy (CPOM) and small and wide-angle X-ray scattering (SAXS/WAXS). Partial phase diagrams were constructed for CTAB concentrations of 50 wt% and 70 wt% in the temperature range of 25 °C to 75 °C to characterise the effect of surfactant concentration and temperature on the LLCPs in each solvent environment. Micellar, hexagonal and cubic phases were identified at both surfactant concentrations, and from temperatures as low as 35 °C, with large variations dependent on the solvent composition. The thermal stability and diversity of phases were greater and broader in solvent compositions with excess precursor amines present compared to those in the neat PILs. In acid-rich solvent combinations, the same phase diversity was found, though with reduced onset temperatures of phase formation; however, some structural changes were observed which were attributed to oxidation/decomposition of CTAB in a nitric acid environment. This study showed that the ability of PIL solutions to support amphiphile self-assembly can readily be tuned, and we anticipate that this knowledge could be applicable to other IL-amphiphile systems. It also shows the robustness of the ability of PILs to promote amphiphile self-assembly, even with other solvent species present. <b></b><i></i><sub></sub><sup></sup><br>
DOI: 10.25439/rmt.12660266.v2
title: Lyotropic liquid crystal phases of CTAB in aqueous non-stoichiometric protic ionic liquids

description: <br>This consists of 1D SAXS patterns of CTAB in aqueous non-stoichiometric solvents containing ethylammonium nitrate (EAN) or ethanolammonium nitrate (EtAN). Data included for 50 and 70 wt% CTAB at temperatures between 25 to 75 oC. All data was collected at ANSTO, Australian Synchrotron SAXS/WAXS beamline.<br>SAXS data corresponding to publication titled: Lyotropic liquid crystal phase behaviour of a cationic amphiphile in aqueous and non-stoichiometric protic ionic liquid mixtures.<b><br></b><br> <b>Article Abstract</b> Protic ionic liquids (PILs) are the largest and most tailorable known class of solvents which possess the ability to support amphiphile self-assembly. In this study, the lyotropic liquid crystal phase (LLCP) behavior of the cationic surfactant cetyltrimethylammonium bromide (CTAB) was investigated in ethylammonium nitrate (EAN) and ethanolammonium nitrate (EtAN) derived multi-component solvent systems to determine phase formation and diversity with changing solvent composition. The solvent systems were composed of water, nitric acid and ethylamine (or ethanolamine), with 26 unique compositions for each PIL covering the apparent pH and ionicity ranges of 0-13.5 and 0-11 M, respectively. The LLCPs were studied using cross polarized optical microscopy (CPOM) and small and wide-angle X-ray scattering (SAXS/WAXS). Partial phase diagrams were constructed for CTAB concentrations of 50 wt% and 70 wt% in the temperature range of 25 °C to 75 °C to characterise the effect of surfactant concentration and temperature on the LLCPs in each solvent environment. Micellar, hexagonal and cubic phases were identified at both surfactant concentrations, and from temperatures as low as 35 °C, with large variations dependent on the solvent composition. The thermal stability and diversity of phases were greater and broader in solvent compositions with excess precursor amines present compared to those in the neat PILs. In acid-rich solvent combinations, the same phase diversity was found, though with reduced onset temperatures of phase formation; however, some structural changes were observed which were attributed to oxidation/decomposition of CTAB in a nitric acid environment. This study showed that the ability of PIL solutions to support amphiphile self-assembly can readily be tuned, and we anticipate that this knowledge could be applicable to other IL-amphiphile systems. It also shows the robustness of the ability of PILs to promote amphiphile self-assembly, even with other solvent species present. <b></b><i></i><sub></sub><sup></sup><br>
DOI: 10.25439/rmt.12660266.v1
title: Lyotropic liquid crystal phases of CTAB in aqueous non-stoichiometric protic ionic liquids

description: <br>This consists of 1D SAXS patterns of CTAB in aqueous non-stoichiometric solvents containing ethylammonium nitrate (EAN) or ethanolammonium nitrate (EtAN). Data included for 50 and 70 wt% CTAB at temperatures between 25 to 75 oC. All data was collected at ANSTO, Australian Synchrotron SAXS/WAXS beamline.<br>SAXS data corresponding to publication titled: Lyotropic liquid crystal phase behaviour of a cationic amphiphile in aqueous and non-stoichiometric protic ionic liquid mixtures.<b><br></b><br> <b>Article Abstract</b> Protic ionic liquids (PILs) are the largest and most tailorable known class of solvents which possess the ability to support amphiphile self-assembly. In this study, the lyotropic liquid crystal phase (LLCP) behavior of the cationic surfactant cetyltrimethylammonium bromide (CTAB) was investigated in ethylammonium nitrate (EAN) and ethanolammonium nitrate (EtAN) derived multi-component solvent systems to determine phase formation and diversity with changing solvent composition. The solvent systems were composed of water, nitric acid and ethylamine (or ethanolamine), with 26 unique compositions for each PIL covering the apparent pH and ionicity ranges of 0-13.5 and 0-11 M, respectively. The LLCPs were studied using cross polarized optical microscopy (CPOM) and small and wide-angle X-ray scattering (SAXS/WAXS). Partial phase diagrams were constructed for CTAB concentrations of 50 wt% and 70 wt% in the temperature range of 25 °C to 75 °C to characterise the effect of surfactant concentration and temperature on the LLCPs in each solvent environment. Micellar, hexagonal and cubic phases were identified at both surfactant concentrations, and from temperatures as low as 35 °C, with large variations dependent on the solvent composition. The thermal stability and diversity of phases were greater and broader in solvent compositions with excess precursor amines present compared to those in the neat PILs. In acid-rich solvent combinations, the same phase diversity was found, though with reduced onset temperatures of phase formation; however, some structural changes were observed which were attributed to oxidation/decomposition of CTAB in a nitric acid environment. This study showed that the ability of PIL solutions to support amphiphile self-assembly can readily be tuned, and we anticipate that this knowledge could be applicable to other IL-amphiphile systems. It also shows the robustness of the ability of PILs to promote amphiphile self-assembly, even with other solvent species present. <b></b><i></i><sub></sub><sup></sup><br>
DOI: 10.25439/rmt.12665651
title: Machine learning models and predictions for a nucleophilic substitution reaction in ionic liquids

description: Machine learning models were built based on published data for a nucleophilic substitution chemical reaction in ionic liquid-acetonitrile solvents. Models were built relating the rate constant of the reaction to the chemical structure of the ionic liquids.<br><b>Publication title</b>: Towards accurate predictions of the rate constants of organic processes in mixtures containing ionic liquids<br><b>Abstract: </b>The ability to tailor the constituent ions in ionic liquids (ILs) is highly advantageous as it provides access to solvents with a range of physicochemical properties. However, this benefit also leads to large compositional spaces that need to be explored to optimise systems, often involving time consuming experimental work. The use of machine learning methods is an effective way to gain insight based on existing data, to develop structure-property relationships and to allow the prediction of ionic liquid properties. Here we have applied machine learning models to experimentally determined rate constants of a representative organic process (the reaction of pyridine with benzyl bromide) in IL-acetonitrile mixtures. Multiple linear regression (MLREM) and artificial neural networks (BRANNLP) were both able to model the data well. The MLREM model was able to identify the structural features on the cations and anions that had the greatest effect on the rate constant. Secondly, predictive MLREM and BRANNLP models were developed from the full initial set of rate constant data. From these models, a large number of predictions (&gt;9000) of rate constant were made for mixtures of different ionic liquids, at different proportions of ionic liquid and molecular solvent, at different temperatures. A selection of these predictions were tested experimentally, including through the preparation of novel ionic liquids, with overall good agreement between the predicted and experimental data. This study highlights the benefits of using machine learning methods on kinetic data in ionic liquid mixtures to enable the development of rigorous structure-property relationships across multiple variables simultaneously, and to predict properties of new ILs and experimental conditions.