cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21500319.v1
title: Chromosome-level assemblies of cultivated water chestnut (Trapa bicornis)

description: The genome and its protein-coding gene annotation files of water chestnut (<em>Trapa bicornis</em>).
DOI: 10.6084/m9.figshare.21500454
title: Chromosome-level assemblies of wild water chestnut (Trapa incisa)

description: The genome and its protein-coding gene annotaion file of wild water chestnut (<em>Trapa incisa</em>).
DOI: 10.6084/m9.figshare.22883282
title: Supplemental Tables for "Different B-Mo isotopic fractionation processes controlled by redox conditions in subduction zone"

description: The supplemental Tables contain TableS1-S7, including the analytical results, reference standards, replicate analyses, modeling parameters.
DOI: 10.6084/m9.figshare.22883282.v1
title: Supplemental Tables for "Different B-Mo isotopic fractionation processes controlled by redox conditions in subduction zone"

description: The supplemental Tables contain TableS1-S7, including the analytical results, reference standards, replicate analyses, modeling parameters.
DOI: 10.5281/zenodo.7737206
title: In silico prediction and biophysical validation of novel 14-3-3σ homodimer stabilizers

description: this dataset is related to "In silico prediction and biophysical validation of novel 14-3-3σ homodimer stabilizers" Aljabal G., Teh, A.-H., Yap B.K.
DOI: 10.5281/zenodo.7943790
title: In silico prediction and biophysical validation of novel 14-3-3σ homodimer stabilizers

description: this dataset is related to "In silico prediction and biophysical validation of novel 14-3-3σ homodimer stabilizers" Aljabal G., Teh, A.-H., Yap B.K.
DOI: 10.6084/m9.figshare.19316467
title: Hepatitis delta coinfection in persons with HIV: misdiagnosis and disease burden in Italy

description: Hepatitis Delta virus (HDV) causes severe liver disease. Due to similarities in transmission routes, persons living with HIV (PLWH) are at risk of HDV infection. This analysis investigates the prevalence and the long-term clinical outcome of people with HDV in a large cohort of PLWH. We retrieved HBsAg ± anti-HDV positive PLWH enrolled from 1997 to 2015 in the multicentre, prospective ICONA study. The primary endpoint was a composite clinical outcome (CCO = having experienced ≥1 of the following: Fib4 score &gt;3.25; diagnosis of cirrhosis; decompensation; hepatocellular carcinoma or liver-related death). Kaplan–Meier curves and unweighted and weighted Cox regression models were used for data analysis. Less than half of HBsAg positive patients had been tested for anti-HDV in clinical practice. After testing stored sera, among 617 HBV/HIV cases, 115 (19%) were anti-HDV positive; 405 (65%) HBV monoinfected; 99 (16%) undeterminate. The prevalence declined over the observation period. HDV patients were more often males, intravenous drug users, HCV coinfected. After a median of 26 months, 55/115 (48%) developed CCO among HDV+; 98/403 (24%) among HBV monoinfected; 18/99 (18%) in HDV unknown (p &lt; 0.001). After controlling for geographical region, alcohol consumption, CD4 count, anti-HCV status and IFN-based therapies, the association with HDV retained statistical significance [HR = 1.67 (1.15, 2.95; p = 0.025)]. HDV infection among PLWH is underdiagnosed, although HDV entails an high risk of liver disease progression. Because effective drugs to treat HDV are now available, it is even more crucial to identify PLWH at an early stage of liver disease.
DOI: 10.6084/m9.figshare.19316467.v1
title: Hepatitis delta coinfection in persons with HIV: misdiagnosis and disease burden in Italy

description: Hepatitis Delta virus (HDV) causes severe liver disease. Due to similarities in transmission routes, persons living with HIV (PLWH) are at risk of HDV infection. This analysis investigates the prevalence and the long-term clinical outcome of people with HDV in a large cohort of PLWH. We retrieved HBsAg ± anti-HDV positive PLWH enrolled from 1997 to 2015 in the multicentre, prospective ICONA study. The primary endpoint was a composite clinical outcome (CCO = having experienced ≥1 of the following: Fib4 score &gt;3.25; diagnosis of cirrhosis; decompensation; hepatocellular carcinoma or liver-related death). Kaplan–Meier curves and unweighted and weighted Cox regression models were used for data analysis. Less than half of HBsAg positive patients had been tested for anti-HDV in clinical practice. After testing stored sera, among 617 HBV/HIV cases, 115 (19%) were anti-HDV positive; 405 (65%) HBV monoinfected; 99 (16%) undeterminate. The prevalence declined over the observation period. HDV patients were more often males, intravenous drug users, HCV coinfected. After a median of 26 months, 55/115 (48%) developed CCO among HDV+; 98/403 (24%) among HBV monoinfected; 18/99 (18%) in HDV unknown (p &lt; 0.001). After controlling for geographical region, alcohol consumption, CD4 count, anti-HCV status and IFN-based therapies, the association with HDV retained statistical significance [HR = 1.67 (1.15, 2.95; p = 0.025)]. HDV infection among PLWH is underdiagnosed, although HDV entails an high risk of liver disease progression. Because effective drugs to treat HDV are now available, it is even more crucial to identify PLWH at an early stage of liver disease.
DOI: 10.6084/m9.figshare.20472184
title: How Least Developed to Lower-Middle Income Countries Use Health Technology Assessment: A Scoping Review

description: Health Technology Assessment (HTA) is a multidisciplinary tool to inform healthcare decision-making. HTA has been implemented in high-income countries (HIC) for several decades but has only recently seen a growing investment in low- and middle-income countries. A scoping review was undertaken to define and compare the role of HTA in least developed and lower middle-income countries (LLMIC). MEDLINE and EMBASE databases were searched from January 2015 to August 2021. A matrix comprising categories on HTA objectives, methods, geographies, and partnerships was used for data extraction and synthesis to present our findings. The review identified 50 relevant articles. The matrix was populated and sub-divided into further categories as appropriate. We highlight topical aspects of HTA, including initiatives to overcome well-documented challenges around data and capacity development, and identify gaps in the research for consideration. Those areas we found to be under-studied or under-utilized included disinvestment, early HTA/implementation, system-level interventions, and cross-sectoral partnerships. We consider broad practical implications for decision-makers and researchers aiming to achieve greater interconnectedness between HTA and health systems and generate recommendations that LLMIC can use for HTA implementation. Whilst HIC may have led the way, LLMIC are increasingly beginning to develop HTA processes to assist in their healthcare decision-making. This review provides a forward-looking model that LLMIC can point to as a reference for their own implementation. We hope this can be seen as timely and useful contributions to optimize the impact of HTA in an era of investment and expansion and to encourage debate and implementation.
DOI: 10.6084/m9.figshare.20472184.v1
title: How Least Developed to Lower-Middle Income Countries Use Health Technology Assessment: A Scoping Review

description: Health Technology Assessment (HTA) is a multidisciplinary tool to inform healthcare decision-making. HTA has been implemented in high-income countries (HIC) for several decades but has only recently seen a growing investment in low- and middle-income countries. A scoping review was undertaken to define and compare the role of HTA in least developed and lower middle-income countries (LLMIC). MEDLINE and EMBASE databases were searched from January 2015 to August 2021. A matrix comprising categories on HTA objectives, methods, geographies, and partnerships was used for data extraction and synthesis to present our findings. The review identified 50 relevant articles. The matrix was populated and sub-divided into further categories as appropriate. We highlight topical aspects of HTA, including initiatives to overcome well-documented challenges around data and capacity development, and identify gaps in the research for consideration. Those areas we found to be under-studied or under-utilized included disinvestment, early HTA/implementation, system-level interventions, and cross-sectoral partnerships. We consider broad practical implications for decision-makers and researchers aiming to achieve greater interconnectedness between HTA and health systems and generate recommendations that LLMIC can use for HTA implementation. Whilst HIC may have led the way, LLMIC are increasingly beginning to develop HTA processes to assist in their healthcare decision-making. This review provides a forward-looking model that LLMIC can point to as a reference for their own implementation. We hope this can be seen as timely and useful contributions to optimize the impact of HTA in an era of investment and expansion and to encourage debate and implementation.
DOI: 10.6084/m9.figshare.22882802
title: Genome annotation and ontology of phylogroup D<em> E. coli</em> from river Yamuna, India

description: Data Record for Genome annotation and ontology of phylogroup D<em> E. coli</em> drug resistant isolates from anthroprogenic river Yamuna, India.
DOI: 10.25592/uhhfdm.11236
title: Dataset of Drawings in Medieval Manuscripts (DMM)

description: A subset of 124 images has been selected from the DocExplore dataset in order to create a detection dataset of drawings in medieval manuscripts. Since the original dataset has been published without providing any annotations, we selected and annotated 8 different patterns in the subset, which resulted in a total of 268 annotated instance. The dataset has been split into three sub-sets (train, validation, test) in order to follow the standard procedure followed by modern deep-learning models. Furthermore, each image has one corresponding ".xml" file containing the annotation information of drawings in that image using the Pascal Voc format. The research for this work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy – EXC 2176 ‘Understanding Written Artefacts: Material, Interaction and Transmission in Manuscript Cultures', project no. 390893796. The research was conducted within the scope of the Centre for the Study of Manuscript Cultures (CSMC) at Universität Hamburg. In addition, we thank Aneta Yotova for annotating the samples in this dataset.
DOI: 10.25592/uhhfdm.11235
title: Dataset of Drawings in Medieval Manuscripts (DMM)

description: A subset of 124 images has been selected from the DocExplore dataset in order to create a detection dataset of drawings in medieval manuscripts. Since the original dataset has been published without providing any annotations, we selected and annotated 8 different patterns in the subset, which resulted in a total of 268 annotated instance. The dataset has been split into three sub-sets (train, validation, test) in order to follow the standard procedure followed by modern deep-learning models. Furthermore, each image has one corresponding ".xml" file containing the annotation information of drawings in that image using the Pascal Voc format. The research for this work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy – EXC 2176 ‘Understanding Written Artefacts: Material, Interaction and Transmission in Manuscript Cultures', project no. 390893796. The research was conducted within the scope of the Centre for the Study of Manuscript Cultures (CSMC) at Universität Hamburg. In addition, we thank Aneta Yotova for annotating the samples in this dataset.
DOI: 10.5281/zenodo.7397907
title: EEGEMO: a Wearable EEG Dataset for Online Emotion Classification

description: Electroencephalography (EEG) -based emotion recognition is being widely applied because it measures electrical correlates directly from the brain rather than the indirect measurement of other physiological responses initiated by the brain. The recent development of non-invasive and portable EEG sensors makes it possible to use them in real-time applications. This dataset contains EEG data of 15 participants from two commercial EEG devices: Muse S headband and Neurosity Crown. The participants watched a total of 16 short videos which elicited emotions from the valence arousal domain. We developed a lightweight emotion classification pipeline from this dataset which could be used in real-time in the future. Moreover, the dataset is compatible with the state-of-art AMIGOS dataset, and the developed pipeline outperforms the classification results obtained from the AMIGOS dataset.
description: The description of the dataset can be found in the paper.
DOI: 10.5281/zenodo.7398263
title: EEGEMO: a Wearable EEG Dataset for Online Emotion Classification

description: Electroencephalography (EEG) -based emotion recognition is being widely applied because it measures electrical correlates directly from the brain rather than the indirect measurement of other physiological responses initiated by the brain. The recent development of non-invasive and portable EEG sensors makes it possible to use them in real-time applications. This dataset contains EEG data of 15 participants from two commercial EEG devices: Muse S headband and Neurosity Crown. The participants watched a total of 16 short videos which elicited emotions from the valence arousal domain. We developed a lightweight emotion classification pipeline from this dataset which could be used in real-time in the future. Moreover, the dataset is compatible with the state-of-art AMIGOS dataset, and the developed pipeline outperforms the classification results obtained from the AMIGOS dataset.
description: The description of the dataset can be found in the paper.
DOI: 10.5281/zenodo.7943014
title: Historical Revisionism Searchs

description: Retrieval strategy for gathering the most relevant recent literature about Information manipulations and historical revisionism: Russian disinformation and foreign interference through manipulated history-based narratives. EU-HYBNET Project.
DOI: 10.5281/zenodo.7943013
title: Historical Revisionism Searchs

description: Retrieval strategy for gathering the most relevant recent literature about Information manipulations and historical revisionism: Russian disinformation and foreign interference through manipulated history-based narratives. EU-HYBNET Project.
DOI: 10.5281/zenodo.7825989
title: DeepFlood dataset

description: ----
DOI: 10.5281/zenodo.7825988
title: DeepFlood dataset

description: ----
DOI: 10.5519/qd.cv4foqty
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.25345/c5mc8rs29
title: MassIVE MSV000091972 - Proteomic profile of N2 worms upon lin-42, lin-42/his-41 and lin-42/lin-53 RNAi treatment.
title: The aim of this experiment was to measure reciprocal relationships between lin-42, his-41 and lin-53 genes by proteomics. For all replicas, 800 N2 worms were seeded on RNAi plates with the corresponding bacteria expressing dsRNA for selected genes of interest or ev as the control.
DOI: 10.5281/zenodo.7943019
title: Collection of narratives gathered by academia, governments, and think-tanks.

description: Examples of Russian revisionist narratives. Source: own study based on the collection of narratives gathered by academia, governments, and think-tanks. The examples of narratives have been selected to represent diverse character of narratives and historical events.
DOI: 10.5281/zenodo.7943018
title: Collection of narratives gathered by academia, governments, and think-tanks.

description: Examples of Russian revisionist narratives. Source: own study based on the collection of narratives gathered by academia, governments, and think-tanks. The examples of narratives have been selected to represent diverse character of narratives and historical events.
DOI: 10.25573/data.22336714.v1
title: CLI Invasive Analysis Data (coordinates redacted)

description: All data used as input to regression analysis from both Smithsonian and gathered data sources. Coordinates are redacted in compliance with FIA privacy requirements. Please refer to the code available in this collection for the data processing that generated these files and to the article "Predicting vulnerability of forest patches to invasion by non-native plants for landscape scale management" in Ecological Applications for further background.
DOI: 10.15151/esrf-es-1117382058
title: Magnetism of mass-selected FeRh B2 nanocrystals in epitaxy on perovskite oxide

description: Near equiatomic composition, FeRh bulk alloys exhibit a CsCl-type (B2) chemically ordered phase related to a metamagnetic transition from an antiferromagnetic (AFM) to a ferromagnetic (FM) state close to ambient. Recently, we underlined the main role of Rh atoms on the metamagnetic transition for samples with high-density FeRh nanoparticles assemblies, where Rh kept a residual FM signature even at low temperature. The objective of this proposal is to study low-density samples, of mass-selected FeRh nanoparticles (NPs) grown on perovskite oxide, from X-ray absorption spectroscopy and magnetic circular dichroism (XAS/XMCD) experiments at Fe K and Rh L-edges at ID12 to explore interfacial strain effects on the magnetic order of epitaxial FeRh nanoparticles. Both use of quarter-wave plate to enhance the circular polarization rate and SDD with appropriate energy filter mounted in the 8T-cryomagnet would improve the signal to noise ratio in such diluted hybrid-nanostructures.
DOI: 10.5258/soton/d2424
title: Dataset supporting the publication "Flexible photonics in low stiffness doped silica for use in fibre reinforced polymer composite materials".

description: This dataset is supporting the article 'Flexible photonics in low stiffness doped silica for use in fibre reinforced polymer composite materials', published in Optical Materials, 2022 (Holmes et al) The data captures the Fatigue and Youngs Modulus measurements made in the above paper.
DOI: 10.57841/casdc.0000646
title: 氮化硅轴承球精度分析报告
DOI: 10.57841/casdc.0000647
title: 氮化硅陶瓷坯料测试结果数据集
DOI: 10.57841/casdc.0000648
title: 氮化硅粉体材料的制备分析总结
DOI: 10.5258/soton/d2617
title: Dataset supporting the journal article 'A polyacrylonitrile shutdown film for prevention of thermal runaway in lithium-ion cells'

description: This dataset contains: The original data associated with each figure in the manuscript, in text files with the column header denoting the parameter in each case.
DOI: 10.15129/8156891e-0abd-4f39-915d-2fa26a715592
title: Data for: "Flow focusing with miscible fluids in microfluidic devices"

description: Data Set with results included in "Flow focusing with miscible fluids in microfluidic devices". Full details provided in the README file.
DOI: 10.6084/m9.figshare.21546183
title: Moult intensity constraints along the complete-moult sequence of the House Sparrow

description: Data used for analyses of moult intensity (based on raggedness and mass of growing wing- and tail feathers), sequence, and speed in the House Sparrow. Biometric data used to calculate physical condition to model the effects of age, sex, physical condition, date, moult progress, and the interaction date*moult-progress on moult intensity
DOI: 10.6084/m9.figshare.21546183.v1
title: Moult intensity is shaped by aerodynamic constraints and controlled by shedding lag along the complete-moult sequence of the House Sparrow

description: Data used for analyses of moult intensity (based on raggedness and mass of growing wing- and tail feathers), sequence, and speed in the House Sparrow. Biometric data used to calculate physical condition to model the effects of age, sex, physical condition, date, moult progress, and the interaction date*moult-progress on moult intensity
DOI: 10.5258/soton/d2589
title: Dataset supporting the journal article 'Comprehensive analysis of radiative cooling enabled thermoelectric energy harvesting'

description: Data supporting the article "Comprehensive analysis of radiative cooling enabled thermoelectric energy harvesting" Yuxiao Zhu, Daniel W. Newbrook, C. H. de Groot and Ruomeng Huang. Journal of Physics: Photonics, Volume 5, Number 2, 025002, DOI 10.1088/2515-7647/accac1 The Data is an excel file containing raw data for the paper: Fig. 1 Schematic and temperature-dependent material properties of the N-type and P-type thermoelectric materials used in our RC-TEG model. ( Fig. 2 Temperature profile of the RC-TEG under typical working conditions. (a) exposed radiative surface (b) shielded counter surface. Fig. 3 FEM simulation performance of RC-TEG under various top surface convection (ConvT) and bottom surface convection (ConvB) conditions. Fig. 4 Performance of RC-TEG obtained in COMSOL simulation as a function of atmosphere emissivity (a) Temperature difference (ΔT) and (b) Power density (PDmax). Fig. 5 Performance of RC-TEG as a function of emissivity in the solar and thermal IR spectrum. Fig. 6 (a) Temperature difference, (b) Power (Pmax), (c) Power density (PDmax) obtained from COMSOL simulation as a function of pitch and WCooler. ( Fig. 7 (a) Temperature difference, (b) PDmax obtained from COMSOL simulation as a function of HTE and WTE. Fig. 8 (a) Real-time temperature and (b) solar irradiance of London on 1st July 2021, 11th January 2021, Singapore on 1st July 2021, and 1st January 2021.
DOI: 10.24377/ljmu.d.00000143
title: Project Images - Little evidence for the role of disgust sensitivity in implicit disgust to images of White people engaged in Injecting Drug Use (IDU)

description: Little evidence for the role of disgust sensitivity in implicit disgust to images of White people engaged in Injecting Drug Use (IDU)
description: Photographs
DOI: 10.5285/1fb8f831da5b45a59213da1d8a4503b8
title: ESA Land Surface Temperature Climate Change Initiative (LST_cci): Geostationary Operational Environmental Satellite (GOES) level 3U (L3U) product (2009-2020), version 1.00

description: This dataset contains land surface temperatures (LST) and their uncertainty estimates from the IMAGER onboard the Geostationary Operational Environmental Satellite (GOES-12 and GOES-13) and from the Advanced Baseline Imager (ABI) onboard GOES-16. The surface temperatures are generated every 3 hours for GOES 12 and 13 and every hour for GOES 16. Data are distributed on a regular latitude-longitude grid with a resolution of 0.05ºx0.05º. The coverage is limited to land surfaces within the GOES disk, which encompasses North and South America. LSTs are estimated from infrared measurements using a single channel algorithm in the case of GOES 12 and 13, and a split-window algorithm in the case of GOES 16. Observations are only available under clear-sky conditions. Quality of single channel algorithms is generally lower than dual channel ones, users are advised to read the respective Validation Report for more information on expected quality of these LST estimates. The dataset was produced by the Portuguese Institute for Sea and Atmosphere (IPMA) as part of the ESA Land Surface Temperature Climate Change Initiative. The reader is referred to the LST_cci website for more information about how the data record was derived, and how to use the data and associated quality flags and estimated uncertainty.