cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34730/3a652a2089ae4b84bdacc40c676e7825
title: Dataset for Training of a Deep Learning Based Digital Subtraction Angiography Method using Synthetic Data

description: Background: Digital subtraction angiography (DSA) is a fluoroscopy method primarily used for the diagnosis of cardiovascular diseases. Deep learning-based DSA (DDSA) is developed to extract DSA-like images directly from fluoroscopic images, which helps in saving dose while improving image quality. It can also be applied where C-arm or patient motion is present and conventional DSA cannot be applied. However, due to the lack of clinical training data and unavoidable artifacts in DSA targets, current DDSA models still cannot satisfactorily display specific structures, nor can they predict noise-free images.
Purpose: In this study, we propose a strategy for producing abundant synthetic DSA image pairs in which synthetic DSA targets are free of typical artifacts and noise commonly found in conventional DSA targets for DDSA model training.
Methods: More than 7,000 forward-projected CT images and more than 25,000 synthetic vascular projection images were employed to create contrast-enhanced fluoroscopic images and corresponding DSA images, which were utilized as DSA image pairs for training of the DDSA networks. The CT projection images and vascular projection images were generated from eight whole-body CT scans and 1,584 3D vascular skeletons, respectively. All vessel skeletons were generated with stochastic Lindenmayer systems. We trained DDSA models on this synthetic dataset and compared them to the trainings on a clinical DSA dataset, which contains nearly 4,000 fluoroscopic x-ray images obtained from different models of C-arms.
Results: We evaluated DDSA models on clinical fluoroscopic data of different anatomies, including the leg, abdomen, and heart. The results on leg data showed for different methods that training on synthetic data performed similarly and sometimes outperformed training on clinical data. The results on abdomen and cardiac data demonstrated that models trained on synthetic data were able to extract clearer DSA-like images than conventional DSA and models trained on clinical data. The models trained on synthetic data consistently outperformed their clinical data counterparts, achieving higher scores in the quantitative evaluation of PSNR and SSIM metrics for DDSA images, as well as accuracy, precision, and Dice scores for segmentation of the DDSA images.
Conclusions: We proposed an approach to train DDSA networks with synthetic DSA image pairs and extract DSA-like images from contrast-enhanced x-ray images directly. This is a potential tool to aid in diagnosis.
description: Dataset containing the synthetic vascular projection images used in the paper. 98.2GB after extraction.
DOI: 10.5281/zenodo.6462432
title: Non-perturbative phase structure of the bosonic BMN matrix model --- data release

description: This HDF5 file collects data and analysis results for non-perturbative lattice calculations investigating the phase structure of the bosonic part of the Berenstein--Maldacena--Nastase matrix model.  See the README for further information.
DOI: 10.5281/zenodo.6462433
title: Non-perturbative phase structure of the bosonic BMN matrix model --- data release

description: This HDF5 file collects data and analysis results for non-perturbative lattice calculations investigating the phase structure of the bosonic part of the Berenstein--Maldacena--Nastase matrix model.  See the README for further information.
DOI: 10.5281/zenodo.3921870
title: Stealth dark matter confinement transition and gravitational waves --- data release

description: This HDF5 file collects data and analysis results for non-perturbative lattice field theory calculations investigating the confinement transition of SU(4) stealth dark matter and the possibility that this early-universe transition may produce an observable stochastic background of gravitational waves.  See the README for further information.
DOI: 10.5281/zenodo.3921871
title: Stealth dark matter confinement transition and gravitational waves --- data release

description: This HDF5 file collects data and analysis results for non-perturbative lattice field theory calculations investigating the confinement transition of SU(4) stealth dark matter and the possibility that this early-universe transition may produce an observable stochastic background of gravitational waves. See the README for further information.
DOI: 10.5281/zenodo.4255117
title: Stealth dark matter confinement transition and gravitational waves --- data release

description: This HDF5 file collects data and analysis results for non-perturbative lattice field theory calculations investigating the confinement transition of SU(4) stealth dark matter and the possibility that this early-universe transition may produce an observable stochastic background of gravitational waves.  See the README for further information.
DOI: 10.34740/kaggle/dsv/7376799
title: Synthetic Medical Data
DOI: 10.5281/zenodo.4059476
title: Three-dimensional super-Yang--Mills theory on the lattice and dual black branes --- data release

description: This HDF5 file collects data and analysis results for non-perturbative lattice field theory calculations investigating three-dimensional maximally supersymmetric SU(N) Yang--Mills theory on a skewed euclidean torus, and its holographic connection to dual D2-brane solutions in supergravity.  See the README for further information.
DOI: 10.5281/zenodo.4059477
title: Three-dimensional super-Yang--Mills theory on the lattice and dual black branes --- data release

description: This HDF5 file collects data and analysis results for non-perturbative lattice field theory calculations investigating three-dimensional maximally supersymmetric SU(N) Yang--Mills theory on a skewed euclidean torus, and its holographic connection to dual D2-brane solutions in supergravity.  See the README for further information.
DOI: 10.6084/m9.figshare.23863086.v2
title: Appendix.xlsx

description: This dataset is the appendix for the paper "Perennial cropping systems increased soil carbon and nitrogen stocks over annual systems – a nine-year field study".
DOI: 10.5281/zenodo.10340199
title: Data and codes for paper 'Frictional phenomena within a quasi zero stiffness vibration device'

description: Data package for journal paper “Frictional phenomena within a quasi zero stiffness vibration device” A.D. Shaw, G. Gatti, P.J.P. Gonçalves, B. Tang, M.J. Brennan, which has been accepted by Mechanical Systems and Signal Processing. The package consists of all raw data files used for figures presented in the paper. It also includes Matlab code for reading the data, and performing other calculations and simulations in the paper. If there are enquiries please contact Dr A. D. Shaw at a.d.shaw@swansea.ac.uk.
DOI: 10.5281/zenodo.10340200
title: Data and codes for paper 'Frictional phenomena within a quasi zero stiffness vibration device'

description: Data package for journal paper “Frictional phenomena within a quasi zero stiffness vibration device” A.D. Shaw, G. Gatti, P.J.P. Gonçalves, B. Tang, M.J. Brennan, which has been accepted by Mechanical Systems and Signal Processing. The package consists of all raw data files used for figures presented in the paper. It also includes Matlab code for reading the data, and performing other calculations and simulations in the paper. If there are enquiries please contact Dr A. D. Shaw at a.d.shaw@swansea.ac.uk.
DOI: 10.5281/zenodo.10444095
title: Supplementary data on masking effect on excess mortality in Europe
DOI: 10.5281/zenodo.10444096
title: Supplementary data on masking effect on excess mortality in Europe
DOI: 10.5281/zenodo.10461552
title: Supplementary data on masking effect on excess mortality in Europe
DOI: 10.5281/zenodo.10478622
title: Mutlu S_BLM_Tcell_Revised AJP_Final

description: Supplemental material for the paper called " 

Adoptive transfer of T cells as a potential therapeutic approach in the bleomycin injured mouse lung" submitted to AJP lung
DOI: 10.5281/zenodo.10478623
title: Mutlu S_BLM_Tcell_Revised AJP_Final

description: Supplemental material for the paper called " 

Adoptive transfer of T cells as a potential therapeutic approach in the bleomycin injured mouse lung" submitted to AJP lung
DOI: 10.5281/zenodo.10304407
title: Data and the code for the paper "Modeling the Asymptotic Behavior of Higher-Order Aftershocks with Deep Learning"

description: The data used to train, validate and test the neural network model are available as the 3 csv files. Code used to train the model is available as in the file "trainDNNmodel.py". The saved model is available in the folder "trainedDNNmodel.tf"
DOI: 10.5281/zenodo.10304408
title: Data and the code for the paper "Modeling the Asymptotic Behavior of Higher-Order Aftershocks with Deep Learning"

description: The data used to train, validate and test the neural network model are available as the 3 csv files. Code used to train the model is available as in the file "trainDNNmodel.py". The saved model is available in the folder "trainedDNNmodel.tf"
DOI: 10.6084/m9.figshare.24973422
title: Rawdata for all figures

description: This item contains all rawdata needed to plot the figures in "A Multifunctional Smart Field-Programmable Radio Frequency Surface"
DOI: 10.5281/zenodo.10478505
title: Time series of temperature, conductivity and pressure from a recovered seal-tag in the Amundsen Sea

description: This dataset is collected by a tag that was depolyed by a seal-tagging team onboard the RRS James Clark Ross, under the Ocean2ice project of the UK's Ice Sheet Stability Programme (Heywood et al. 2014). This tag (tag serial number: EM959; hereafter, EM959 for this tag) was attached to a male Southern Elephant Seal. EM959 was initially deployed on the Edwards Islands in Pine Island Bay, after which the instrumented seal moved west along the edge of the fast ice and grounded icebergs. This seal stayed in the southeastern corner of the Amundsen Sea Polynya from mid-February to mid-April (yearday 51.8-105.7). Thus, EM959 measured the upper-ocean properties of the Amundsen Sea Polynya continually for more than two months during austral autumn. In February 2020, another seal-tagging team onboard the RV Nathaniel B. Palmer, part of the International Thwaites Glacier Collaboration (ITGC) expedition to the Amundsen Sea, serendipitously found and recovered EM959. 

We calibrated EM959 conductivity data against nearby ship-based CTD profiles (i.e. the seven CTD casts within 10 km and 5 days of EM959 observations) obtained on the iSTAR/Ocean2ice cruise in the Amundsen Sea in February 2014 (Heywood et al. 2016). In order to include a wide range of conductivity values in the calibration, we chose profiles that encompassed the modified Circumpolar Deep Water, i.e., we chose seal profiles with a maximum temperature > 0 ºC and extending below the pycnocline (depth > 800 m) and compared them with the closest CTD profile. We obtain one scaling factor for conductivity for each seal profile and then calculate the median scaling factor of 1.0018, which we recommend be applied to all seal profiles before calculating the salinity. Longitude and latitude were obtained via ARGOS every time when the seal surface from a dive and then linearly interpolated into continuous time series. Outliers in both salinity and temperature are present within this dataset. We highly recommend that anyone utilising this dataset conduct a thorough visual inspection based TS diagrams and profile plots.

We thank Simon Moss for tagging seals with Micheal A Fedak, and Mark Barham, Lars Boehme, Guilherme A Bortolotto for recovering this seal tag. We are grateful to Julia S Wellner for leading the NBP 20-02 cruise (under Thwaites Offshore Research project, THO), and to both Julia S Wellner and Robert D Larter as the PIs of THOR. This dataset was obtained under Ocean2ice (NERC grant NE/J005703/1), TARSAN (NERC grant NE/S006419/1), ARTEMIS (NERC grant NE/W007045/1) and COMPASS (European Research Council Horizon 2020 advanced grant 741120).
DOI: 10.5281/zenodo.10478506
title: Time series of temperature, conductivity and pressure from a recovered seal-tag in the Amundsen Sea

description: This dataset is collected by a tag that was depolyed by a seal-tagging team onboard the RRS James Clark Ross, under the Ocean2ice project of the UK's Ice Sheet Stability Programme (Heywood et al. 2014). This tag (tag serial number: EM959; hereafter, EM959 for this tag) was attached to a male Southern Elephant Seal. EM959 was initially deployed on the Edwards Islands in Pine Island Bay, after which the instrumented seal moved west along the edge of the fast ice and grounded icebergs. This seal stayed in the southeastern corner of the Amundsen Sea Polynya from mid-February to mid-April (yearday 51.8-105.7). Thus, EM959 measured the upper-ocean properties of the Amundsen Sea Polynya continually for more than two months during austral autumn. In February 2020, another seal-tagging team onboard the RV Nathaniel B. Palmer, part of the International Thwaites Glacier Collaboration (ITGC) expedition to the Amundsen Sea, serendipitously found and recovered EM959. 

We calibrated EM959 conductivity data against nearby ship-based CTD profiles (i.e. the seven CTD casts within 10 km and 5 days of EM959 observations) obtained on the iSTAR/Ocean2ice cruise in the Amundsen Sea in February 2014 (Heywood et al. 2016). In order to include a wide range of conductivity values in the calibration, we chose profiles that encompassed the modified Circumpolar Deep Water, i.e., we chose seal profiles with a maximum temperature > 0 ºC and extending below the pycnocline (depth > 800 m) and compared them with the closest CTD profile. We obtain one scaling factor for conductivity for each seal profile and then calculate the median scaling factor of 1.0018, which we recommend be applied to all seal profiles before calculating the salinity. Longitude and latitude were obtained via ARGOS every time when the seal surface from a dive and then linearly interpolated into continuous time series. Outliers in both salinity and temperature are present within this dataset. We highly recommend that anyone utilising this dataset conduct a thorough visual inspection based TS diagrams and profile plots.

We thank Simon Moss for tagging seals with Micheal A Fedak, and Mark Barham, Lars Boehme, Guilherme A Bortolotto for recovering this seal tag. We are grateful to Julia S Wellner for leading the NBP 20-02 cruise (under Thwaites Offshore Research project, THO), and to both Julia S Wellner and Robert D Larter as the PIs of THOR. This dataset was obtained under Ocean2ice (NERC grant NE/J005703/1), TARSAN (NERC grant NE/S006419/1), ARTEMIS (NERC grant NE/W007045/1) and COMPASS (European Research Council Horizon 2020 advanced grant 741120).
DOI: 10.5281/zenodo.10478647
title: Effects of bone marrow sparing and TGF-β3 treatment in total body irradiation of C57BL6J mice
DOI: 10.5281/zenodo.10478648
title: Effects of bone marrow sparing and TGF-β3 treatment in total body irradiation of C57BL6J mice
DOI: 10.5281/zenodo.7890517
title: Data from: Bees go up, flowers go down: Increased resource limitation from late spring to summer in agricultural landscapes

description: Data underlying the publication "Bees go up, flowers go down: Increased resource limitation from late spring to summer in agricultural landscapes". Site coordinates are excluded from this dataset for data protection.
description: Additional funding was received from the Dutch Minitry of Agriculture, Nature Conservation and Food Quality (BO-43-011.06-007), farmers collective Natuurrijk Limburg, the province of Limburg, and Syngenta. This dataset reflects only the views of the authors. The funding sources had no role in the completion of the study or the creation of the dataset and are not responsible for any use that may be made of the information this dataset contains.
DOI: 10.5281/zenodo.7890518
title: Data from: Bees go up, flowers go down: Increased resource limitation from late spring to summer in agricultural landscapes

description: Data underlying the publication "Bees go up, flowers go down: Increased resource limitation from late spring to summer in agricultural landscapes". Site coordinates are excluded from this dataset for data protection.
description: Additional funding was received from the Dutch Minitry of Agriculture, Nature Conservation and Food Quality (BO-43-011.06-007), farmers collective Natuurrijk Limburg, the province of Limburg, and Syngenta. This dataset reflects only the views of the authors. The funding sources had no role in the completion of the study or the creation of the dataset and are not responsible for any use that may be made of the information this dataset contains.
DOI: 10.5281/zenodo.10477517
title: Seismic data from the HiSEIZE survey

description: Seismic data from the HiSEIZE acquisition. The data available:

Line 1 raw seismic data (.sgy)

Line 2 raw seismic data (.sgy)

Line 3 raw seismic data (.sgy)

Data is unprocessed and fully geometrized.

More details about the geometry can me found inside "Data_Description.txt"
DOI: 10.1285/i20356609v16i3p402
title: In Solidarity: Ma(r)king and Rescaling Solidarity Boundaries towards Migrants

description: The core idea for this Special Issue is to reflect upon the dynamics of participation both by individuals and by groups acting in solidarity with migrants in different contexts at the individual, local and transnational levels. Using the concept of "solidarities" to address the relation between persons who have experienced migration and persons who have not, and between people and institutions, enables research to escape the "us vs. them" dichotomy, extending the debate on deservingness to society as a whole. Moreover, with the development of crossborder volunteering and the diffusion of multi-scalar partnerships between subnational governments and civil society organisations, solidarities are rescaled, and encompass new forms beyond national welfare mechanisms. Bringing together a rich collection of empirical cases that ranges from the reception of the Rohingya refugees in the CoxBazar region of Bangladesh to border crossings along the Balkan route, from disaster solidarity in the Hanshin area in Japan to Ukrainian refugee reception in Italy, we explore acts of solidarity in different contexts as a way to try an make sense of when solidarity towards migrants is a political act, when it is about providing basic provisions subcontracted by the state to local or non-governmental actors, and when it is an act of defiance against the state.
DOI: 10.1285/i20356609v16i3p414
title: Analysing the Case of Rohingya Refugees In Bangladesh: Different Levels of Solidarity

description: The Rohingya refugee crisis has been a prolonged refugee crisis in Bangladesh. With the first refugee influx having taken place as far back in late 1977, to the latest one in 2017 (MSF, 2022), the protracted nature of the crisis has made the refugees extremely volatile. The Bangladeshi people warmly welcomed the Rohingya refugees in the face of the 2017 Myanmar military crackdown against the minority, citing four main reasons for the feelings of solidarity – (i) religious similarities, (ii) historical cultural and linguistic linkages, (iii) solidarity from political parties, and (iv) the historical experience of Bangladesh during the liberation war. To add to this, one can also cite constitutional and international duties as humanitarian motivation for Bangladesh to host the refugees. This research will focus on indications of solidarity expressed by actors from state actors and non-state actors through their policies and actions at individual, state and international levels. It will view the issue of expression of solidarity with Rohingya refugees in Bangladesh with the multi-focal lens of levels of analyses. In doing so, the study poses the questions: How is solidarity expressed at the individual, state, and international levels in the context of the Rohingya refugee crisis in Bangladesh? Throughout the study, we link how certain policies, actions and narratives are indicative of expressions of solidarity with the Rohingya refugee population in Bangladesh, especially after the August 2017 Rohingya refugee influx. In doing so the illustrates expressions of solidarity towards the Rohingya refugees at different levels, and also explained some of the justifications of such solidarity. Much of the motivations for the expressions of solidarity has come from sentiments of empathy, global community, neighborly affection and respect and sense of duty from religious, cultural, historical, international human rights and legal obligations.
DOI: 10.1285/i20356609v16i3p433
title: Expectations and Disappointments on the Part of Institutions in the Process of Reception and Integration of Refugees in Portugal

description: Portugal joined the European movement to welcome refugees in 2015, and there was an unprecedented phenomenon of civil society mobilization to provide shelter to refugees, overlapping at times the State. The model adopted for hosting refugees was related to the involvement of civil society, which meant that the relocation program assumed two structuring characteristics: the geographical dispersion of refugees throughout the country and the institutional diversity of the structures that carried out their placement. To know the practices developed by the host institutions and the circumstances of the interaction between their staff and refugees allows us to understand the role of local agency aimed at the reception of refugees and its impacts. Attitudes and feelings of disillusionment and disappointment can clash with the expectations of welcoming initiatives, which are often based on a constructed image of refugees as grateful, innocent victims and deserving of help. The aim of this article focuses on the practices and perceptions of representatives of local institutions regarding their relocation experiences. Thus, results obtained on the relocation process from the point of view of the institutions and on opportunities and challenges faced for the integration of refugees relocated in Portugal, as well as feelings, expectations and disappointments, are presented.
DOI: 10.1285/i20356609v16i3p470
title: The Criminalization of Border Solidarity and the Law as a Double-Edged Weapon

description: Criminalization of solidarity towards migrants at the external and internal borders of Europe is in full swing. It roots into the wider process of criminalisation of racialised foreigners and their mobility towards and within Europe, as well as into the increasing judicialization of direct activism and grassroots social movements on the ground of anti-terrorism. Law and society scholarship has grasped the complex relationship between legal institutions or tools and social movements, and how these latter can use Law as an offensive or defensive weapon to protect themselves and enhance their cause. Activists can also turn the weapon of Law against the State, when using repressive measures and trials as mediatic and political stages to launch general statements and denounce the State's inconsistency and law violations. Aiming at contributing to the understanding of the room and conditions to transform judicialization into a political weapon, the article investigates a peculiar case of criminalization of solidarity, namely the territorial bans issued by Italian police against "No Border" activists on the French-Italian border of Ventimiglia since 2015. It points out that, in spite of the annulment of the bans obtained by the defendants and their lawyers in court, the peculiar features of the repressive tool, of the social movement itself and of the context in which they occurred, strongly limited the possibility of a political reversal of judicialization. Crossing a legal opportunities framework with a legal consciousness perspective, the article also shows the plurality of activists' attitudes towards law and the effects of criminalization on activists' life paths.