cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7492473
title: Clinical characterization of a multicenter international cohort of p.A177T RNASEH2B homozygous mutated Aicardi Goutières patients: in search for prognostic factors

description: Introduction This database includes the raw data on clinical characteristics of patients with Aicardi Goutières Syndrome carrying the homozygous p.A177T RNASEH2B, which is the most common variant associated to the syndrome and the variant associated to the most striking phenotypic variability. Methods Retrospective natural history study, designed to describe a cohort of patients with homozygous p.A177T RNASEH2B with variable degrees of phenotypic expression. Patients will be stratified according to disease severity in order to identify possible predictive factors of long term outcomes. Results (in brief) Our cohort confirm the significant intra-genetic cohort variability of patients carrying this specific mutation. In our case series, only few and aspecific characteristics have been found to be related to prognosis: irritability at disease onset, age at onset, presence of startle reactions
DOI: 10.5281/zenodo.7492472
title: Clinical characterization of a multicenter international cohort of p.A177T RNASEH2B homozygous mutated Aicardi Goutières patients: in search for prognostic factors

description: Introduction This database includes the raw data on clinical characteristics of patients with Aicardi Goutières Syndrome carrying the homozygous p.A177T RNASEH2B, which is the most common variant associated to the syndrome and the variant associated to the most striking phenotypic variability. Methods Retrospective natural history study, designed to describe a cohort of patients with homozygous p.A177T RNASEH2B with variable degrees of phenotypic expression. Patients will be stratified according to disease severity in order to identify possible predictive factors of long term outcomes. Results (in brief) Our cohort confirm the significant intra-genetic cohort variability of patients carrying this specific mutation. In our case series, only few and aspecific characteristics have been found to be related to prognosis: irritability at disease onset, age at onset, presence of startle reactions
DOI: 10.5519/qd.pjzg5t8j
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5241278 records)
DOI: 10.5281/zenodo.8171573
title: Mean solar rotation profile from GONG splittings 1995-2009

description: This is the average of 2-dimensional regularized least squares inversions of GONG solar rotational splittings covering all available datasets from 1995-2009. The details of the analysis can be found in the article by R. Howe et al, Bibcode 2005ApJ...634.1405H, DOI 10.1086/497107, but this dataset was extended up to 2009 and is the one behind the plot at https://nso.edu/telescopes/nisp/#foobox-1/2/gongcut.png.
DOI: 10.5281/zenodo.8171572
title: Mean solar rotation profile from GONG splittings 1995-2009

description: This is the average of 2-dimensional regularized least squares inversions of GONG solar rotational splittings covering all available datasets from 1995-2009. The details of the analysis can be found in the article by R. Howe et al, Bibcode 2005ApJ...634.1405H, DOI 10.1086/497107, but this dataset was extended up to 2009 and is the one behind the plot at https://nso.edu/telescopes/nisp/#foobox-1/2/gongcut.png.
DOI: 10.5517/ccdc.csd.cc2ckxmh
title: CCDC 2191967: Experimental Crystal Structure Determination

description: Related Article: Tsukasa Abe, Shinnosuke Horiuchi, Shuichi Hiraoka|2022|Chem.Commun.|58|10829|doi:10.1039/D2CC04496J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17028/rd.lboro.16920004.v1
title: Supporting data. A Comparison of Advertised versus Actual Cannabidiol (CBD) Content 2021

description: Supporting data for published research. <strong>Article abstract:</strong> <strong>Background</strong> Cannabidiol (CBD)-containing products are sold widely in consumer stores, but concerns have been raised regarding their quality, with notable discrepancies between advertised and actual CBD content. Information is limited regarding how different types of CBD products may differ in their deviation from advertised CBD concentrations. Therefore, CBD concentrations were quantified and compared in aqueous tinctures, oils, e-liquids and drinks. <strong>Methods</strong> Products (13 aqueous tinctures, 29 oils, 10 e-liquids and 11 drinks) were purchased online in the UK. CBD concentrations were quantified in aqueous tinctures, oils and e-liquids via high performance liquid chromatography (HPLC), and in drinks via gas chromatograhy-mass spectrometry (GC-MS). <strong>Results</strong> Measured concentrations fell −25.7 ± 17.3, −6.1 ± 7.8, −6.9 ± 4.6 and − 0.03 ± 0.06 mg/mL below advertised concentrations for aqueous tinctures, oils, e-liquids and drinks, respectively (medians ± interquartile ranges; p &lt; .05). Oils deviated relatively less (−19.0 ± 14.5%) from advertised concentrations than e-liquids (−29.2 ± 10.2%), aqueous tinctures (−51.4 ± 41.4%) and drinks (−65.6 ± 36.5%; p &lt; .01), whilst e-liquids deviated less than aqueous tinctures and drinks (p &lt; .05), and deviation was not different between aqueous tinctures and drinks (p = .19). Only 5/63 (8%) products had measured concentrations within 10% of advertised concentrations. <strong>Discussion</strong> Similarly to previous studies, few products had measured CBD concentrations within 10% of advertised concentrations, with most falling below advertised concentrations. All individual product types deviated from advertised concentrations, with oils deviating least. These findings may be indicative of poor manufacturing standards, or that CBD undergoes degradation in consumer products. This reinforces concerns over quality of CBD-containing consumer products and may highlight the need for improved regulation of such products.
DOI: 10.17028/rd.lboro.16920004
title: Supporting data. A Comparison of Advertised versus Actual Cannabidiol (CBD) Content 2021

description: Supporting data for published research. <strong>Article abstract:</strong> <strong>Background</strong> Cannabidiol (CBD)-containing products are sold widely in consumer stores, but concerns have been raised regarding their quality, with notable discrepancies between advertised and actual CBD content. Information is limited regarding how different types of CBD products may differ in their deviation from advertised CBD concentrations. Therefore, CBD concentrations were quantified and compared in aqueous tinctures, oils, e-liquids and drinks. <strong>Methods</strong> Products (13 aqueous tinctures, 29 oils, 10 e-liquids and 11 drinks) were purchased online in the UK. CBD concentrations were quantified in aqueous tinctures, oils and e-liquids via high performance liquid chromatography (HPLC), and in drinks via gas chromatograhy-mass spectrometry (GC-MS). <strong>Results</strong> Measured concentrations fell −25.7 ± 17.3, −6.1 ± 7.8, −6.9 ± 4.6 and − 0.03 ± 0.06 mg/mL below advertised concentrations for aqueous tinctures, oils, e-liquids and drinks, respectively (medians ± interquartile ranges; p &lt; .05). Oils deviated relatively less (−19.0 ± 14.5%) from advertised concentrations than e-liquids (−29.2 ± 10.2%), aqueous tinctures (−51.4 ± 41.4%) and drinks (−65.6 ± 36.5%; p &lt; .01), whilst e-liquids deviated less than aqueous tinctures and drinks (p &lt; .05), and deviation was not different between aqueous tinctures and drinks (p = .19). Only 5/63 (8%) products had measured concentrations within 10% of advertised concentrations. <strong>Discussion</strong> Similarly to previous studies, few products had measured CBD concentrations within 10% of advertised concentrations, with most falling below advertised concentrations. All individual product types deviated from advertised concentrations, with oils deviating least. These findings may be indicative of poor manufacturing standards, or that CBD undergoes degradation in consumer products. This reinforces concerns over quality of CBD-containing consumer products and may highlight the need for improved regulation of such products.
DOI: 10.21985/n2-0gp4-t861
title: Phase Separation and Ripening in a Viscoelastic Gel
DOI: 10.34740/kaggle/dsv/6171956
title: Egypt Gold Prices | Daily Updated
DOI: 10.17028/rd.lboro.23641647
title: Experimental data for paper "Capability evaluation of real-time inline COD detection technique for dynamic water footprint management in the beverage manufacturing industry"

description: Experimental data for paper "Capability evaluation of real-time inline COD detection technique for dynamic water footprint management in the beverage manufacturing industry". Data comprises UV-Vis absorption spectra, and chemical digestion COD measurements, on samples of wastewater taken from a beverage factory. <strong>Article abstract:</strong> This paper reports the development of a real-time inline Chemical Oxygen Demand (COD) detection technique in a beverage manufacturing plant in England and the evaluation of its capability for dynamic Water Footprint (WF) management. The inline technique employed Ultraviolet–Visible (UV-VIS) spectroscopy and Moving Window Partial Least Squares (mwPLS), which was then applied to calculating Grey WF for the production activities in the plant, referred to here as WFrt. A traditional offline COD measurement method was also utilised for the Grey WF calculation, to act as the reference method, referred to here as WFtrad. In a method-comparison study (Bland-Altman Plot), the results showed that WFrt detected the order of magnitude variation of WFtrad, and WFtrad was on average between 0.897 and 1.243 times WFrt with no systematic bias. This indicates that WFrt may be used for both short-time frame (minutes to hours) WF monitoring and long-term (weeks to months) analysis of trends and the effect of WF optimisation strategies.
DOI: 10.17028/rd.lboro.23641647.v2
title: Experimental data for paper "Capability evaluation of real-time inline COD detection technique for dynamic water footprint management in the beverage manufacturing industry"

description: Experimental data for paper "Capability evaluation of real-time inline COD detection technique for dynamic water footprint management in the beverage manufacturing industry". Data comprises UV-Vis absorption spectra, and chemical digestion COD measurements, on samples of wastewater taken from a beverage factory. <strong>Article abstract:</strong> This paper reports the development of a real-time inline Chemical Oxygen Demand (COD) detection technique in a beverage manufacturing plant in England and the evaluation of its capability for dynamic Water Footprint (WF) management. The inline technique employed Ultraviolet–Visible (UV-VIS) spectroscopy and Moving Window Partial Least Squares (mwPLS), which was then applied to calculating Grey WF for the production activities in the plant, referred to here as WFrt. A traditional offline COD measurement method was also utilised for the Grey WF calculation, to act as the reference method, referred to here as WFtrad. In a method-comparison study (Bland-Altman Plot), the results showed that WFrt detected the order of magnitude variation of WFtrad, and WFtrad was on average between 0.897 and 1.243 times WFrt with no systematic bias. This indicates that WFrt may be used for both short-time frame (minutes to hours) WF monitoring and long-term (weeks to months) analysis of trends and the effect of WF optimisation strategies.
DOI: 10.17028/rd.lboro.23641647.v1
title: Experimental data for paper "Capability evaluation of real-time inline COD detection technique for dynamic water footprint management in the beverage manufacturing industry"

description: Experimental data for paper "Capability evaluation of real-time inline COD detection technique for dynamic water footprint management in the beverage manufacturing industry". Data comprises UV-Vis absorption spectra, and chemical digestion COD measurements, on samples of wastewater taken from a beverage factory. <strong>Article abstract:</strong> This paper reports the development of a real-time inline Chemical Oxygen Demand (COD) detection technique in a beverage manufacturing plant in England and the evaluation of its capability for dynamic Water Footprint (WF) management. The inline technique employed Ultraviolet–Visible (UV-VIS) spectroscopy and Moving Window Partial Least Squares (mwPLS), which was then applied to calculating Grey WF for the production activities in the plant, referred to here as WFrt. A traditional offline COD measurement method was also utilised for the Grey WF calculation, to act as the reference method, referred to here as WFtrad. In a method-comparison study (Bland-Altman Plot), the results showed that WFrt detected the order of magnitude variation of WFtrad, and WFtrad was on average between 0.897 and 1.243 times WFrt with no systematic bias. This indicates that WFrt may be used for both short-time frame (minutes to hours) WF monitoring and long-term (weeks to months) analysis of trends and the effect of WF optimisation strategies.
DOI: 10.6084/m9.figshare.23724039
title: Regional Segmentation of China's outbound investment flows, 2015-2020.docx

description: Source Compiled by the authors based on Ministry of Commerce of the People's Republic of China, 2015-2020
DOI: 10.6084/m9.figshare.23724039.v1
title: Regional Segmentation of China's outbound investment flows, 2015-2020.docx

description: Source Compiled by the authors based on Ministry of Commerce of the People's Republic of China, 2015-2020
DOI: 10.5281/zenodo.8171665
title: CLDF dataset derived from Kitchen et al.'s "Bayesian phylogenetic analysis of Semitic languages" from 2009

description: Cite the source of the dataset as: Bayesian phylogenetic analysis of Semitic languages identifies an Early Bronze Age origin of Semitic in the Near East. Andrew Kitchen, Christopher Ehret, Shiferaw Assefa, Connie J. Mulligan. Proc. R. Soc. B 2009 -; DOI: 10.1098/rspb.2009.0408. Published 29 April 2009
DOI: 10.7294/21971306
title: Cohousing_Behavior_Cortisol_LOS

description: Two data files are included: <strong>Feuerbacher_Cohousing</strong> and <strong>Cohousing_Descriptive_Inferential_Statistical_Results</strong>. <strong>Feuerbacher_Cohousing</strong> provides the raw data for the study. <strong>Cohousing_Descriptive_Inferential_Statistical_Results</strong> provides the means and standard deviations calculated from the raw data and used in statistical analyses. Where an inferential statistical analysis has been conducted, those results are also provided.
DOI: 10.7294/21971306.v2
title: Cohousing_Behavior_Cortisol_LOS

description: Two data files are included: <strong>Feuerbacher_Cohousing</strong> and <strong>Cohousing_Descriptive_Inferential_Statistical_Results</strong>. <strong>Feuerbacher_Cohousing</strong> provides the raw data for the study. <strong>Cohousing_Descriptive_Inferential_Statistical_Results</strong> provides the means and standard deviations calculated from the raw data and used in statistical analyses. Where an inferential statistical analysis has been conducted, those results are also provided.
DOI: 10.7294/21971306.v1
title: Cohousing_Behavior_Cortisol_LOS

description: Compiled behavioral data for each dog in the study, indicated by number of intervals (out of 12) per 1 min video. Length of stay (in days), Day 0 cortisol levels, and change in cortisol on Days 1-7.
DOI: 10.5284/1057492
title: Digital Archive for Feeding Anglo-Saxon England (FeedSax): The Bioarchaeology of an Agricultural Revolution, 2017-2022

description: This collection comprises the digital archive for Feeding Anglo-Saxon England (FeedSax): The Bioarchaeology of an Agricultural Revolution. Data is presented in a searchable project database and map of sites, alongside an exported SQL database, spreadsheets and reports. The Feedsax project ran from 2017 to 2022 at the Universities of Oxford and Leicester and was funded by the European Research Council. The project combined bioarchaeological data with evidence from settlement archaeology to investigate arable farming in Early medieval England, a time when the expansion of cultivation - 'cerealisation' - was the bedrock of demographic and economic growth.
DOI: 10.6084/m9.figshare.23724060
title: Sectoral distribution of Chinese investments in Kazakhstan, 2005-2019.docx

description: Source Compiled by the authors based on China Council for the Promotion of International Trade
DOI: 10.34740/kaggle/ds/3537620
title: Zomato Data🍕🍮🍕🍮
DOI: 10.6084/m9.figshare.23724075
title: Total investment inflows of foreign direct investors to the Republic of Kazakhstan, 2005-2021.docx

description: Source Compiled by the authors based on National Bank of Kazakhstan
DOI: 10.6084/m9.figshare.23724075.v1
title: Total investment inflows of foreign direct investors to the Republic of Kazakhstan, 2005-2021.docx

description: Source Compiled by the authors based on National Bank of Kazakhstan
DOI: 10.25934/pr00009109
title: RESISTANT CANDIDA AURIS AT INTENSIVE CARE UNITS IN ASIAN COUNTRIES: EVIDENCE FROM SENTRY ANTIMICROBIAL SURVEILLANCE PROGRAM

description: Candida auris is an emerging fungal pathogen. This has become a public health threat due to multidrug resistance. Capable of causing outbreaks in hospitals with a high mortality, this problematic pathogen attained worldwide attention. There is limited evidence on the burden of drug resistant candida auris in intensive care units in Asia. We aim to provide an overview of the drug resistant candida auris at  intensive care units across Asia. We will use the SENTRY antimicrobial resistance data maintaining research ethics. Data will be processed and analyzed. Burden and trends will be carefully explored. We plan to publish findings and provide recommendations according to our findings.
DOI: 10.5281/zenodo.8162814
title: The relationship between Mute Swan Cygnus olor population trends in Great Britain and environmental change

description: Data used in the publication: Ki <em>et al.</em> 2023. The relationship between Mute Swan Cygnus olor population trends in Great Britain and environmental change, Bird Study. doi: 10.1080/00063657.2023.2239554
DOI: 10.5281/zenodo.8162813
title: The relationship between Mute Swan Cygnus olor population trends in Great Britain and environmental change

description: Data used in the publication: Ki <em>et al.</em> 2023. The relationship between Mute Swan Cygnus olor population trends in Great Britain and environmental change, Bird Study. doi: 10.1080/00063657.2023.2239554
DOI: 10.4228/zalf.dk.113
title: Earthworm Biodiversity Data Lietzen I
DOI: 10.5281/zenodo.8171574
title: Dataset of previous experiments in Demosite 3 pilot plant. Part 2

description: Part 2: Data collected for the application of advanced oxidation processes in pilot plant for implementation of MOBILE3TECH at Demosite 3, from November 2021 to June 2022.
DOI: 10.5281/zenodo.8171575
title: Dataset of previous experiments in Demosite 3 pilot plant. Part 2

description: Part 2: Data collected for the application of advanced oxidation processes in pilot plant for implementation of MOBILE3TECH at Demosite 3, from November 2021 to June 2022.
DOI: 10.5281/zenodo.8171547
title: Dataset of previous experiments in Demosite 3 pilot plant

description: <pre>Part 1: Data collected for the application of advanced oxidation processes in pilot plant for implementation of MOBILE3TECH at Demosite 3, from November 2021 to June 2022. </pre>
DOI: 10.5281/zenodo.8171548
title: Dataset of previous experiments in Demosite 3 pilot plant

description: <pre>Part 1: Data collected for the application of advanced oxidation processes in pilot plant for implementation of MOBILE3TECH at Demosite 3, from November 2021 to June 2022. </pre>
DOI: 10.5519/qd.ug7wirzv
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (197 records)
DOI: 10.5281/zenodo.6326897
title: Geolocating and Measuring Offshore Infrastructure with Multimodal Satellite Data

description: <em>Please cite this when using the dataset and code.</em> The offshore infrastructure is rapidly spreading in the Scottish waters to satisfy the increasing energy demand. The up-to-date knowledge of their distribution and size is critical for the development and management of marine ecosystems. With the development of remote sensing techniques, satellite data have been widely used in offshore infrastructure detection on the vast ocean. However, the automatic and accurate identification on remote sensing data is still challenging that every kind of data have limitations. Here we combine the Sentinel-1 SAR data and Sentinel-2 Multi-Spectral Instrument (MSI) imagery to propose an automatic method for the location detection and size evaluation of offshore infrastructure in Scottish waters. Specifically, three strategies (transformed median composite, 2D-SSA filtering and threshold segmentation) were designed to first extract the contour range on Sentinel-1 data. Then morphological operations were applied on Sentinel-2 true color image to obtain the precise location and size of each offshore infrastructure. All the Sentinel-1 and Sentinel-2 data are downloaded from https://www.sentinel-hub.com/explore/eobrowser/ The file "loc_S1" is used for the contour range detection (guided area) in Sentinel-1; The file "loc_S2" is for the specific location detection and size evaluation of oil/gas platforms and wind turbines;
DOI: 10.5281/zenodo.6326898
title: Mapping offshore infrastructure through multimodal satellite data fusion

description: <em>Please cite this when using the dataset and code.</em> The offshore infrastructure is rapidly spreading in the Scottish waters to satisfy the increasing energy demand. The up-to-date knowledge of their distribution and size is critical for the development and management of marine ecosystems. With the development of remote sensing techniques, satellite data have been widely used in offshore infrastructure detection on the vast ocean. However, the automatic and accurate identification on remote sensing data is still challenging that every kind of data have limitations. Here we combine the Sentinel-1 SAR data and Sentinel-2 Multi-Spectral Instrument (MSI) imagery to propose an automatic method for the location detection and size evaluation of offshore infrastructure in Scottish waters. Specifically, three strategies (transformed median composite, 2D-SSA filtering and threshold segmentation) were designed to first extract the contour range on Sentinel-1 data. Then morphological operations were applied on Sentinel-2 true color image to obtain the precise location and size of each offshore infrastructure. All the Sentinel-1 and Sentinel-2 data are downloaded from https://www.sentinel-hub.com/explore/eobrowser/ The file "loc_S1" is used for the contour range detection in Sentinel-1; The file "size_of_rig" is for the specific location detection and size evaluation of each rig and semi-permanent; The file "diameter_wind_turbine" is for the diameter length estimate for wind turbines.