cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5255/ukda-sn-856855
title: Partnerships for East Coast Communities: Interview and Survey Data, 2023

description: Partnerships for East Coast Communities was a project to determine policy priorities for coastal areas in East Anglia around work, the natural environment and culture and heritage, with a view to leveraging or developing assets or initiatives to reduce coastal health inequalities. 

To help determine these priorities, we reviewed: i) relevant scientific papers and policy reports relevant to East Anglia’s coastal economy, heritage and environment; ii) attended nine cultural and business events in coastal districts across Essex, Suffolk and Norfolk; iii) held three workshops with university-based researchers, district councils, businesses, charities and community groups; iv) held three “Open Space” public events in Clacton, Felixstowe and Kings Lynn; v) interviewed informants from regional district councils, business groups, charities and community arts and heritage groups; vi) surveyed members of the public with a web-enabled survey using a mixture of closed and open ended questions; vii) surveyed informants from district councils, business groups, charities and community arts and heritage groups with a web-enabled survey using a mixture of closed and open ended questions. Further information about the project is available under Related Resources.

Data deposited as part of the project include redacted interviews, data from the public surveys and data from the survey of civil society groups.
DOI: 10.6084/m9.figshare.25067921
title: Raw Figures.zip

description: The incompletely eliminated <i>Treponema pallidum</i> (<i>T. pallidum</i>) during wound infection can result in the progression of secondary, tertiary, or latent syphilis in individuals, suggesting that <i>T. pallidum</i> has successfully evaded the immune response and spread to distant sites. The mechanism underlying the dissemination of<i> T. pallidum</i> is unclear. Here, rabbit model of syphilis was established to evaluate the effects of <i>T. pallidum</i> protein Tp0136 on bacterial transmission. An increase in Tp0136 concentration decreased <i>T. pallidum</i> load in the skin lesions and increased <i>T. pallidum</i> load in the testes. Tp0136 antibody inhibited dissemination of <i>T. pallidum</i>, leading to the concentrated load of <i>T. pallidum</i> in skin lesions, and the low load of <i>T. pallidum</i> in the testis. This effect is reversed when Tp0136 antibody was interrupted. Furthermore, Tp0136 promoted angiogenesis <i>in vivo</i> and <i>in vitro</i>, leading to an increase in vascular permeability. PI3K/AKT signaling pathway is involved in regulating angiogenesis and an increase in vascular permeability. These findings elucidate the strategy employed by <i>T. pallidum</i> in evading immune clearance during the infection.
DOI: 10.6084/m9.figshare.25067921.v1
title: Raw Figures.zip

description: The incompletely eliminated <i>Treponema pallidum</i> (<i>T. pallidum</i>) during wound infection can result in the progression of secondary, tertiary, or latent syphilis in individuals, suggesting that <i>T. pallidum</i> has successfully evaded the immune response and spread to distant sites. The mechanism underlying the dissemination of<i> T. pallidum</i> is unclear. Here, rabbit model of syphilis was established to evaluate the effects of <i>T. pallidum</i> protein Tp0136 on bacterial transmission. An increase in Tp0136 concentration decreased <i>T. pallidum</i> load in the skin lesions and increased <i>T. pallidum</i> load in the testes. Tp0136 antibody inhibited dissemination of <i>T. pallidum</i>, leading to the concentrated load of <i>T. pallidum</i> in skin lesions, and the low load of <i>T. pallidum</i> in the testis. This effect is reversed when Tp0136 antibody was interrupted. Furthermore, Tp0136 promoted angiogenesis <i>in vivo</i> and <i>in vitro</i>, leading to an increase in vascular permeability. PI3K/AKT signaling pathway is involved in regulating angiogenesis and an increase in vascular permeability. These findings elucidate the strategy employed by <i>T. pallidum</i> in evading immune clearance during the infection.
DOI: 10.6084/m9.figshare.25067936
title: wash trading in NFT market

description: As emerging digital assets, NFTs are susceptible to anomalous trading behaviors due to the lack of stringent regulatory mechanisms, potentially causing economic losses. In this study, we conduct the first systematic analysis of four non-fungible token (NFT) markets, each operating under different rules.
DOI: 10.26165/juelich-data/cyhxrm
title: Replication Data for: Space charge governs the kinetics of metal exsolution

description: The present data repository contains all suitable data that provide the basis for the main figures of the manuscript as specified by the pulication guidelines. Accordingly, a record of text files are provided in the form of excel sheets for each relevant figure and named after the respective figure of the manuscript. Figure_1b.xlsx, Figure_2d_as-deposited_termination, Figure_2d_SrO_termination.xlsx, Figure_3d_STNNi-NbSTO.xlsx and Figure_3d_STNNi-NbSTO.xlsx contain experimental data on the properties of nanoparticles synthesized by metal exsolution as determined by evaluation of topological data obtained by atomic force microscopy. Figure_1c.xlsx contains experimental data on the cation depth profiles measured by secondary ion mass spectrometry. Figure_2a.xlsx contains XPS Ni 2p core-level spectra for different states of STNNi (different thermal oxidation / thermal reduction history and annealing time). Figure_2b.xlsx contains relative intenisty rations for the metal and oxide Ni 2p states as a function of the thermal oxidation / thermal reduction history and annealing time. Figure_2c.xlsx contains values of the space-charge induced binding energy shifts in the peak maxima of XPS O 1s, Ti 2p, Nb 3d and Sr 3d core-level recorded during consecutive thermal oxidation (p(O2) = 0.1 mbar, T = 400°C) and thermal reduction (p(H2) = 0.92 mbar, T = 400°C) steps relative to ultra high vacuum conditions. Figure_3b.xlsx and Figure_3c.xlsx contain data on the space charge potential profiles in the near-surface region of n-type STO obtained by finite-element electrostatic space charge simulations.
DOI: 10.5281/zenodo.10571389
title: Critical, damage and failure characteristics - NCN project (OPUS) No. 2021/41/B/ST8/00148

description: This file presents determined critical, damage and failure characteristics. Characteristics were determined based on the research carried out in the project NCN project (OPUS) No. 2021/41/B/ST8/00148.
DOI: 10.5281/zenodo.10571390
title: Critical, damage and failure characteristics - NCN project (OPUS) No. 2021/41/B/ST8/00148

description: This file presents determined critical, damage and failure characteristics. Characteristics were determined based on the research carried out in the project NCN project (OPUS) No. 2021/41/B/ST8/00148.
DOI: 10.5281/zenodo.10569378
title: Reproducibility Package for "On the Anatomy of Real-World R Code for Static Analysis"

description: This is the reproducibility package for the paper "On the Anatomy of Real-World R Code for Static Analysis", accepted at MSR 2024.
description: This work was partially supported by the German Research Foundation (DFG): 504226141 and 453895475.
DOI: 10.5281/zenodo.10569379
title: Reproducibility Package for "On the Anatomy of Real-World R Code for Static Analysis"

description: This is the reproducibility package for the paper "On the Anatomy of Real-World R Code for Static Analysis", accepted at MSR 2024.
description: This work was partially supported by the German Research Foundation (DFG): 504226141 and 453895475.
DOI: 10.57967/hf/1693
title: Taxonomy
DOI: 10.57967/hf/1252
title: Taxonomy
DOI: 10.5281/zenodo.10034402
title: Data of soil and tree biomass carbon stocks in the afforestation of Mariblanca
DOI: 10.5281/zenodo.10034403
title: Data of soil and tree biomass carbon stocks in the afforestation of Mariblanca
DOI: 10.5281/zenodo.10571564
title: Test Sample
DOI: 10.5281/zenodo.10571565
title: Test Sample
DOI: 10.5281/zenodo.10571014
title: THE Short chain(draft)
DOI: 10.5281/zenodo.10571015
title: THE Short chain(draft)
DOI: 10.5281/zenodo.10571566
title: THE Short chain(draft)
DOI: 10.5281/zenodo.10571582
title: THE Short chain(draft)
DOI: 10.5281/zenodo.8386635
title: Röntgen- och ytskiktsundersökning av Buddhaskulpturer från Röhsska museet - XRF data set

description: Analysis of metal thread and colours on textile, with µXRF ARTAX 800.
DOI: 10.5281/zenodo.8386636
title: Röntgen- och ytskiktsundersökning av Buddhaskulpturer från Röhsska museet - XRF data set

description: Analysis of metal thread and colours on textile, with µXRF ARTAX 800.
DOI: 10.5281/zenodo.8390335
title: Röntgen- och ytskiktsundersökning av Buddhaskulpturer från Röhsska museet - XRF data set

description: Analysis of metal thread and colours on textile, with µXRF ARTAX 800.
DOI: 10.6084/m9.figshare.25068704
title: Supporting Information for Chapter 5 of the PhD thesis: "Natural Seismographs: A Stratigraphic Study on the Effects of Earthquakes on Subaqueous Surface Sediments" (2024)

description: This dataset contains the supporting information of Chapter 5 of my PhD thesis. It contains Datasets C.S1 and C.S2 as well as Movie C.S1.
DOI: 10.6084/m9.figshare.25068704.v1
title: Supporting Information for Chapter 5 of the PhD thesis: "Natural Seismographs: A Stratigraphic Study on the Effects of Earthquakes on Subaqueous Surface Sediments" (2024)

description: This dataset contains the supporting information of Chapter 5 of my PhD thesis. It contains Datasets C.S1 and C.S2 as well as Movie C.S1.
DOI: 10.5281/zenodo.10390572
title: FastSurferVINN Checkpoints

description: Training checkpoints for FastSurferVINN (https://github.com/Deep-MI/FastSurfer) - please cite the paper when using this resource (https://doi.org/10.1016/j.neuroimage.2022.118933).
description: Leading neuroimaging studies have pushed 3T MRI acquisition resolutions below 1.0 mm for improved structure definition and morphometry. Yet, only few, time-intensive automated image analysis pipelines have been validated for high-resolution (HiRes) settings. Efficient deep learning approaches, on the other hand, rarely support more than one fixed resolution (usually 1.0 mm). Furthermore, the lack of a standard submillimeter resolution as well as limited availability of diverse HiRes data with sufficient coverage of scanner, age, diseases, or genetic variance poses additional, unsolved challenges for training HiRes networks. Incorporating resolution-independence into deep learning-based segmentation, i.e., the ability to segment images at their native resolution across a range of different voxel sizes, promises to overcome these challenges, yet no such approach currently exists. We now fill this gap by introducing a Voxel-size Independent Neural Network (VINN) for resolution-independent segmentation tasks and present FastSurferVINN, which (i) establishes and implements resolution-independence for deep learning as the first method simultaneously supporting 0.7–1.0 mm whole brain segmentation, (ii) significantly outperforms state-of-the-art methods across resolutions, and (iii) mitigates the data imbalance problem present in HiRes datasets. Overall, internal resolution-independence mutually benefits both HiRes and 1.0 mm MRI segmentation. With our rigorously validated FastSurferVINN we distribute a rapid tool for morphometric neuroimage analysis. The VINN architecture, furthermore, represents an efficient resolution-independent segmentation method for wider application.
DOI: 10.5281/zenodo.10390573
title: FastSurferVINN Checkpoints

description: Training checkpoints for FastSurferVINN (https://github.com/Deep-MI/FastSurfer) - please cite the paper when using this resource (https://doi.org/10.1016/j.neuroimage.2022.118933).
description: Leading neuroimaging studies have pushed 3T MRI acquisition resolutions below 1.0 mm for improved structure definition and morphometry. Yet, only few, time-intensive automated image analysis pipelines have been validated for high-resolution (HiRes) settings. Efficient deep learning approaches, on the other hand, rarely support more than one fixed resolution (usually 1.0 mm). Furthermore, the lack of a standard submillimeter resolution as well as limited availability of diverse HiRes data with sufficient coverage of scanner, age, diseases, or genetic variance poses additional, unsolved challenges for training HiRes networks. Incorporating resolution-independence into deep learning-based segmentation, i.e., the ability to segment images at their native resolution across a range of different voxel sizes, promises to overcome these challenges, yet no such approach currently exists. We now fill this gap by introducing a Voxel-size Independent Neural Network (VINN) for resolution-independent segmentation tasks and present FastSurferVINN, which (i) establishes and implements resolution-independence for deep learning as the first method simultaneously supporting 0.7–1.0 mm whole brain segmentation, (ii) significantly outperforms state-of-the-art methods across resolutions, and (iii) mitigates the data imbalance problem present in HiRes datasets. Overall, internal resolution-independence mutually benefits both HiRes and 1.0 mm MRI segmentation. With our rigorously validated FastSurferVINN we distribute a rapid tool for morphometric neuroimage analysis. The VINN architecture, furthermore, represents an efficient resolution-independent segmentation method for wider application.
DOI: 10.5281/zenodo.10390741
title: CerebNet Checkpoints

description: Training checkpoints for CerebNet (https://github.com/Deep-MI/FastSurfer) - please cite the paper when using this resource (https://dx.doi.org/10.1016/j.neuroimage.2022.119703).
description: Quantifying the volume of the cerebellum and its lobes is of profound interest in various neurodegenerative and acquired diseases. Especially for the most common spinocerebellar ataxias (SCA), for which the first antisense oligonculeotide-base gene silencing trial has recently started, there is an urgent need for quantitative, sensitive imaging markers at pre-symptomatic stages for stratification and treatment assessment. This work introduces CerebNet, a fully automated, extensively validated, deep learning method for the lobular segmentation of the cerebellum, including the separation of gray and white matter. For training, validation, and testing, T1-weighted images from 30 participants were manually annotated into cerebellar lobules and vermal sub-segments, as well as cerebellar white matter. CerebNet combines FastSurferCNN, a UNet-based 2.5D segmentation network, with extensive data augmentation, e.g. realistic non-linear deformations to increase the anatomical variety, eliminating additional preprocessing steps, such as spatial normalization or bias field correction. CerebNet demonstrates a high accuracy (on average 0.87 Dice and 1.742mm Robust Hausdorff Distance across all structures) outperforming state-of-the-art approaches. Furthermore, it shows high test-retest reliability (average ICC on OASIS and Kirby) as well as high sensitivity to disease effects, including the pre-ataxic stage of spinocerebellar ataxia type 3 (SCA3). CerebNet is compatible with FreeSurfer and FastSurfer and can analyze a 3D volume within seconds on a consumer GPU in an end-to-end fashion, thus providing an efficient and validated solution for assessing cerebellum sub-structure volumes. We make CerebNet available as source-code (https://github.com/Deep-MI/FastSurfer).
DOI: 10.5281/zenodo.10390742
title: CerebNet Checkpoints

description: Training checkpoints for CerebNet (https://github.com/Deep-MI/FastSurfer) - please cite the paper when using this resource (https://dx.doi.org/10.1016/j.neuroimage.2022.119703).
description: Quantifying the volume of the cerebellum and its lobes is of profound interest in various neurodegenerative and acquired diseases. Especially for the most common spinocerebellar ataxias (SCA), for which the first antisense oligonculeotide-base gene silencing trial has recently started, there is an urgent need for quantitative, sensitive imaging markers at pre-symptomatic stages for stratification and treatment assessment. This work introduces CerebNet, a fully automated, extensively validated, deep learning method for the lobular segmentation of the cerebellum, including the separation of gray and white matter. For training, validation, and testing, T1-weighted images from 30 participants were manually annotated into cerebellar lobules and vermal sub-segments, as well as cerebellar white matter. CerebNet combines FastSurferCNN, a UNet-based 2.5D segmentation network, with extensive data augmentation, e.g. realistic non-linear deformations to increase the anatomical variety, eliminating additional preprocessing steps, such as spatial normalization or bias field correction. CerebNet demonstrates a high accuracy (on average 0.87 Dice and 1.742mm Robust Hausdorff Distance across all structures) outperforming state-of-the-art approaches. Furthermore, it shows high test-retest reliability (average ICC on OASIS and Kirby) as well as high sensitivity to disease effects, including the pre-ataxic stage of spinocerebellar ataxia type 3 (SCA3). CerebNet is compatible with FreeSurfer and FastSurfer and can analyze a 3D volume within seconds on a consumer GPU in an end-to-end fashion, thus providing an efficient and validated solution for assessing cerebellum sub-structure volumes. We make CerebNet available as source-code (https://github.com/Deep-MI/FastSurfer).
DOI: 10.15161/oar.it/143613
title: Test dataset

description: Test for a DOI enabled dataset
DOI: 10.15161/oar.it/143612
title: Test dataset

description: Test for a DOI enabled dataset
DOI: 10.23708/ei4apl
title: Commensal small mammal trapping data in Northern Senegal, 2011-2014

description: Data were collected as part of the ANR project ENEMI, which aimed at investigating the role of parasitism and immunology in the invasion success of the house mouse Mus musculus domesticus in Senegal. They were issued from 6 field campaigns conducted between November 2011 and July 2014 in villages and towns of the northern part of the country: in the anciently invaded area along the coast from Saint-Louis to Mbour, and along two invasions routes, one along the northern road in the Senegal River valley, and the second along the main road across the Ferlo region. Using standard trapping procedures, commensal small mammals were captured, then euthanized, sexed and measured, identified using morphological or molecular tools, and finally autopsied in order to take a number of samples intended for the detection of parasites and pathogens, the characterization of immune profiles, as well as the study of the population genetics of some species. Commensal habitat characteristics were recorded at each trap position. The dataset reports the results of 9660 trapnights, leading to the capture of 1987 small mammals (mainly native and exotic rodents - 7 species, and a few species of shrews and hedgehogs) and the collection of associated biological, geographical and environmental data. It should provide opportunities for studies in population and community ecology at various spatial scales. It perfectly supplement the dataset already deposited by Granjon & Fossati entitled "Commensal small mammal trapping data in Southern Senegal, 2012-2015", and collected at the same period using exactly the same protocol during another research program. Combined with data obtained through the treatment of associated biological samples (concerning immune profiles and parasite/pathogen detection, see references), both datasets may contribute to characterise zoonotic risks related to small mammals in Senegal.
DOI: 10.6084/m9.figshare.24559092.v1
title: Comparative proteomic analysis of the moderately resistant and susceptible peanut cultivars during infestation by <i>Cylindrocladium parasiticum</i>

description: <i>Cylindrocladium parasiticum</i> Crous, Wingfield & Alfenas, the causal agent of Cylindrocladium black rot of peanut, has led to economic losses in China. However, the response of peanut plant to <i>C. parasiticum</i> is poorly understood. Here, two contrasting peanut cultivars, T09 (<i>C. parasiticum</i>-moderately resistant) and P562 (<i>C. parasiticum</i>-susceptible) were used for comparative analysis of protein profiles in root segment of plant tissues in responses to <i>C. parasiticum</i> infection. Proteomic profiling identified 1647 and 391 differentially accumulated proteins (DAPs) in P562 and T09 relative to uninoculated control, respectively. A total of 350 and 1095 DAPs were identified between P562 and T09 after 9 day(s) post infection (dpi), respectively. Functional categorization showed that <i>C. parasiticum</i>-responsive proteins were mainly involved in catalytic activity and binding functions. KEGG pathway analysis indicated both moderately resistant and susceptible peanut cultivars can regulate gene expression in the phenylpropanoid pathway, terpenoid backbone biosynthesis, SA, and JA pathways to induce defensive genes and protein expression which enhances plant defence or susceptibility capacity. However, MAPK signal pathway was more pronounced in moderately resistant peanut cultivar T09. We also observed an increase of CYP73A100 involved in phenylpropanoid and flavonoid biosynthesis pathways in susceptible peanut ecotype P562, while decrease in moderately resistant interaction. Additionally, there was a marked activation of brassinosteroid biosynthesis in T09, which indicated a possible involvement of activation of plant immune response in moderately resistant responses of peanut to <i>C. parasiticum</i>. This study provides some insights into molecular networks involved in cellular and physiological responses to <i>C. parasiticum</i> in peanut.
DOI: 10.13130/rd_unimi/plhgbp/fnz4ib
title: 12000_Turdus-philomelos.rds_All_RAR_0.5_-20_15_7_10_T7_0_1538_PRE_EPE.rds

description: :unav
DOI: 10.5281/zenodo.10548450
title: Monitoring data from Historical Building in La Valletta (MALTA)

description: This dataset includes a selection of energy data coming from the monitoring of the demonstration site of La Valletta (MALTA) during both heating and cooling operations. The data were used to calculate the energy performance of the geothermal system that was implemented within GEO4CIVHIC demonstration activities.
DOI: 10.5281/zenodo.10548451
title: Monitoring data from Historical Building in La Valletta (MALTA)

description: This dataset includes a selection of energy data coming from the monitoring of the demonstration site of La Valletta (MALTA) during both heating and cooling operations. The data were used to calculate the energy performance of the geothermal system that was implemented within GEO4CIVHIC demonstration activities.
DOI: 10.5281/zenodo.10548956
title: Monitoring data from Historical Residential Building in Greystones (IRELAND)

description: This dataset includes a selection of energy data coming from the monitoring of the demonstration site of Wicklow (IRELAND) in heating operation. The data were used to calculate the energy performance of the geothermal system that was implemented within GEO4CIVHIC demonstration activities.
DOI: 10.5281/zenodo.10548957
title: Monitoring data from Historical Residential Building in Greystones (IRELAND)

description: This dataset includes a selection of energy data coming from the monitoring of the demonstration site of Wicklow (IRELAND) in heating operation. The data were used to calculate the energy performance of the geothermal system that was implemented within GEO4CIVHIC demonstration activities.
DOI: 10.5281/zenodo.10568761
title: Energy demand of GEO4CIVHIC demonstration sites

description: This dataset includes the energy demand of the buildings of the demonstration cases. The generated data are Hourly energy consumption computed by dynamic simulations.
DOI: 10.5281/zenodo.10568762
title: Energy demand of GEO4CIVHIC demonstration sites

description: This dataset includes the energy demand of the buildings of the demonstration cases. The generated data are Hourly energy consumption computed by dynamic simulations.