cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13140/rg.2.2.32994.40645
title: RT_35_2022_Mihai_Abstract.pdf
DOI: 10.5281/zenodo.7391260
title: Replication Package: Model-Driven Engineering for the Interoperability of Simulation Modeling Languages: a Case Study in the Space Industry

description: Replication package "Architectural Support for Software Performance in Continuous Software Engineering: a Systematic Mapping Study".
DOI: 10.5281/zenodo.7391259
title: Replication Package: Model-Driven Engineering for the Interoperability of Simulation Modeling Languages: a Case Study in the Space Industry

description: Replication package "Architectural Support for Software Performance in Continuous Software Engineering: a Systematic Mapping Study".
DOI: 10.5519/qd.etsyxd4x
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5382388 records)
DOI: 10.5281/zenodo.7362914
title: Dataset for paper ''Observation and parameterization of bottom shear stress and sediment resuspension in a large shallow lake''

description: The dataset contains Model data (2008, 2009) from AEM3D, processed bottom shear stress data, and raw current, turbidity, wind data collected in 2008 and 2009.
DOI: 10.5281/zenodo.7362915
title: Dataset for paper ''Observation and parameterization of bottom shear stress and sediment resuspension in a large shallow lake''

description: The dataset contains Model data (2008, 2009) from AEM3D, processed bottom shear stress data, and raw current, turbidity, wind data collected in 2008 and 2009.
DOI: 10.5281/zenodo.7391269
title: Dataset for paper ''Observation and parameterization of bottom shear stress and sediment resuspension in a large shallow lake''

description: The dataset contains Model data (2008, 2009) from AEM3D, processed bottom shear stress data, and raw current, turbidity, wind data collected in 2008 and 2009.
DOI: 10.7298/8sxf-b977.2
title: Data from the Cornell coherent scatter radar imager
DOI: 10.5281/zenodo.7390651
title: Appendix of the thesis "Acquisition of new genetic knowledge on strains of Mycobacterium bovis, circulating in France, by the whole genome sequencing approach." Ciriac CHARLES

description: Appendix 1 Table showing the <em>Mycobacterium bovis </em>genome information used in this study in panel 1 The 87 genomes are from previous work (Hauer et al., 2019). The names of the genomes are highlighted with color to distinguish them within a previously defined M. bovis cluster. In Yellow Cluster I/Clonal Complex Eu3. In orange Cluster G/Family F9. In brown Cluster C/Family SB0134. In purple Cluster D/Clonal Complex Eu1. In pink the Cluster A/Family F4. In blue the Cluster F/Clonal Complex Eu2. In grey, the others. Appendix 2 Table showing the <em>Mycobacterium bovis </em>genome information used in this study in panel 3. The 187 genomes are of genotypes F7 and F15 (SB0821 and SB0832 respectively) which are two closely related genotypes. These genomes had already been sequenced before the start of the thesis work. Some were published with the work of Duault and collaborators and others have not yet been published (noted NA) (Duault et al., 2022). Appendix 3 Table showing the <em>Mycobacterium bovis </em>genome information used in this study in panel 4. The 227 genomes are of genotype SB0120-DHV. These genomes had already been sequenced before the start of the thesis work but are currently unpublished (noted NA in the columns "Date of deposit" and "Genbank biosample"). Appendix 4 Position of IS<em>6110</em> insertion sites in the panel of <em>Mycobacterium bovis </em>strains from Pyrénées-Atlantiques (SB0821 and SB0832). The position of the start and end of IS<em>6110</em> are determined with the ISMapper tool and the reference genome AF2122/97. Appendix 5 Position of IS<em>6110</em> insertion sites in the <em>Mycobacterium bovis </em>strain panel of SB0120-DHV. Position of the start and end of IS<em>6110</em> are determined with the ISMapper tool and the Mb3601 reference genome. Appendix 6 This figure from the Modenesi internship report represents a circular consensus phylogenetic tree of 300 strains of SB0120-DHV (Modenesi 2019). The strains in panel 3 are part of these 300 strains and were selected according to their sequencing quality, which explains the smaller number of strains retained (227). This tree is divided into 11 different colored clades. The posterior probability values (which correspond to the probability that these clades are true) determined with Beast (Drummond and Rambaut, 2007) are represented inside the tree.
DOI: 10.5281/zenodo.7390652
title: Appendix of the thesis "Acquisition of new genetic knowledge on strains of Mycobacterium bovis, circulating in France, by the whole genome sequencing approach." Ciriac CHARLES

description: Appendix 1 Table showing the <em>Mycobacterium bovis </em>genome information used in this study in panel 1 The 87 genomes are from previous work (Hauer et al., 2019). The names of the genomes are highlighted with color to distinguish them within a previously defined M. bovis cluster. In Yellow Cluster I/Clonal Complex Eu3. In orange Cluster G/Family F9. In brown Cluster C/Family SB0134. In purple Cluster D/Clonal Complex Eu1. In pink the Cluster A/Family F4. In blue the Cluster F/Clonal Complex Eu2. In grey, the others. Appendix 2 Table showing the <em>Mycobacterium bovis </em>genome information used in this study in panel 3. The 187 genomes are of genotypes F7 and F15 (SB0821 and SB0832 respectively) which are two closely related genotypes. These genomes had already been sequenced before the start of the thesis work. Some were published with the work of Duault and collaborators and others have not yet been published (noted NA) (Duault et al., 2022). Appendix 3 Table showing the <em>Mycobacterium bovis </em>genome information used in this study in panel 4. The 227 genomes are of genotype SB0120-DHV. These genomes had already been sequenced before the start of the thesis work but are currently unpublished (noted NA in the columns "Date of deposit" and "Genbank biosample"). Appendix 4 Position of IS<em>6110</em> insertion sites in the panel of <em>Mycobacterium bovis </em>strains from Pyrénées-Atlantiques (SB0821 and SB0832). The position of the start and end of IS<em>6110</em> are determined with the ISMapper tool and the reference genome AF2122/97. Appendix 5 Position of IS<em>6110</em> insertion sites in the <em>Mycobacterium bovis </em>strain panel of SB0120-DHV. Position of the start and end of IS<em>6110</em> are determined with the ISMapper tool and the Mb3601 reference genome. Appendix 6 This figure from the Modenesi internship report represents a circular consensus phylogenetic tree of 300 strains of SB0120-DHV (Modenesi 2019). The strains in panel 3 are part of these 300 strains and were selected according to their sequencing quality, which explains the smaller number of strains retained (227). This tree is divided into 11 different colored clades. The posterior probability values (which correspond to the probability that these clades are true) determined with Beast (Drummond and Rambaut, 2007) are represented inside the tree.
DOI: 10.5281/zenodo.7385603
title: Stereo Endoscopic Dataset

description: This dataset was created based on a clinical procedure named Radical Prostatectomy with lymphadenectomy using da Vinci Xi surgical system (Intuitive Surgical Inc., USA) at European Institute of Oncology (IEO, Milan, Italy). <br> The videos were recorded with a 3D HD video recorder (HVO-3300MT, SONY, Tokyo). The dataset is divided into 6 folders concerning the steps of the procedure: <br> clips<br> dissection<br> irrigation<br> suction<br> suturing<br> traction Each step is then divided into four phases of the procedure:<br> 1 - collapse of the peritoneum<br> 2 - prostate removal<br> 3 - lymphadenectomy <br> 4 - anastomosis Each frame is labeled as follows: Camera_step_NumberOfTheFrame<br> for example, for the first frame, left lens of the Da Vinci endoscope, in the dissection step we have: L_dissection_000000.jpg In the folders, we also provide the text files created on Anvil (ground truth labels), which contain important surgical context information, including the steps, phases and types of surgical instruments. This dataset could be used for: 1. Evaluation of surgical scene reconstruction models 2. Training of unsupervised learning based networks 3. Surgical workflow recognition based on stereo images or point clouds. To know more about this research, please see the manuscript: FRSR: Framework for Real-time Scene Reconstruction in Robot-Assisted Minimally Invasive Surgery.
DOI: 10.5281/zenodo.7385602
title: Stereo Endoscopic Dataset

description: This dataset was created based on a clinical procedure named Radical Prostatectomy with lymphadenectomy using da Vinci Xi surgical system (Intuitive Surgical Inc., USA) at European Institute of Oncology (IEO, Milan, Italy). <br> The videos were recorded with a 3D HD video recorder (HVO-3300MT, SONY, Tokyo). The dataset is divided into 6 folders concerning the steps of the procedure: <br> clips<br> dissection<br> irrigation<br> suction<br> suturing<br> traction Each step is then divided into four phases of the procedure:<br> 1 - collapse of the peritoneum<br> 2 - prostate removal<br> 3 - lymphadenectomy <br> 4 - anastomosis Each frame is labeled as follows: Camera_step_NumberOfTheFrame<br> for example, for the first frame, left lens of the Da Vinci endoscope, in the dissection step we have: L_dissection_000000.jpg In the folders, we also provide the text files created on Anvil (ground truth labels), which contain important surgical context information, including the steps, phases and types of surgical instruments. This dataset could be used for: 1. Evaluation of surgical scene reconstruction models 2. Training of unsupervised learning based networks 3. Surgical workflow recognition based on stereo images or point clouds. To know more about this research, please see the manuscript: FRSR: Framework for Real-time Scene Reconstruction in Robot-Assisted Minimally Invasive Surgery.
DOI: 10.5281/zenodo.3995321
title: Supporting data for "A convolution method to assess subgrid-scale interactions between flow and patchy vegetation in biogeomorphic models"

description: Dataset necessary to reproduce the results and analyses presented in the paper: Gourgue, O., van Belzen, J., Schwarz, C., Bouma, T.J., van de Koppel, J. & Temmerman, S. (2020) A convolution method to assess subgrid-scale interactions between flow and patchy vegetation in biogeomorphic models, Journal of Advances in Modeling Earth Systems, submitted. The dataset contains: Process-based model simulations, including their input files and the Python scripts to generate them (pre-processing), as well as the output files and Python scripts to post-process them. Flume experiment data processed for the model calibration. Python scripts to generate the figures and tables of the manuscript.
description: This project has received funding from from the VNSC (Vlaams-Nederlandse Scheldecommissie).
DOI: 10.5281/zenodo.3715544
title: Supporting data for "A convolution method to assess subgrid-scale interactions between flow and patchy vegetation in biogeomorphic models"

description: Dataset necessary to reproduce the results and analyses presented in the paper: Gourgue, O., van Belzen, J., Schwarz, C., Bouma, T.J., van de Koppel, J. & Temmerman, S. (2020) A convolution method to assess subgrid-scale interactions between flow and patchy vegetation in biogeomorphic models, Journal of Advances in Modeling Earth Systems, submitted. The dataset contains: Process-based model simulations, including their input files and the Python scripts to generate them (pre-processing), as well as the output files and Python scripts to post-process them. Flume experiment data processed for the model calibration. Python scripts to generate the figures and tables of the manuscript.
description: This project has received funding from from the VNSC (Vlaams-Nederlandse Scheldecommissie).
DOI: 10.25398/rd.northumbria.17830043
title: OnenDoTT Deployment Dataset: ESR2 Samrt Homes
DOI: 10.5517/ccdc.csd.cc294c94
title: CCDC 2119355: Experimental Crystal Structure Determination

description: Related Article: Shaofei Wu, Yong Ni, Yi Han, Xudong Hou, Congyong Wang, Wenping Hu, Jishan Wu|2022|Angew.Chem.,Int.Ed.|61|e202115571|doi:10.1002/anie.202115571
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: 10.25398/rd.northumbria.17838842.v1
title: OpenDoTT Deployment Dataset: ESR3 Communities and Neighbourhoods

description: The overall aim of the PhD is to explore the potential use of Internet of Things (IoT) to support the creation and sustainment of community technology/infrastructure and other publicly shared objects. For the second year, the Dundee West End Community Fridge was considered to allow continuity from the first year. The research followed a mixed approach consisting of a prototype and a field visit, that were supplemented using storyboards and a Miro board. 7 UK-based participants contributed to the research through in-person and 2 virtual interviews and workshops. A 5-day field visit was organised to allow in-person participation as online recruitment did not yield many participants. This Dataset contains: Field notes Assorted photographs of the prototypes and other activities Storyboards Sample forms, documents and announcements Participant recruitment tools Other data related to the research
DOI: 10.25398/rd.northumbria.17838842
title: OpenDoTT Deployment Dataset: ESR3 Communities and Neighbourhoods
DOI: 10.25398/rd.northumbria.17842370.v1
title: OpenDoTT Deployment Dataset: ESR4 Smart Cities

description: This PhD research focuses on waste prevention through collective practices of reuse, in the forms of repair, upcycling and re-circulation. It investigates the confluence of initiatives and policies in themes such as zero waste, social innovation, circular economy and the doughnut economy. <br> The dataset in this folder comprises of interview transcriptions, contents of emails sent to participants, as well as particular images of activities, notes and analyses. <br> The dataset has the following subfolders: <br> "reuse.city": outputs and processual documentation of the online co-design lab conducted with a group of participants involved with initiatives of repair, upcycling and re-circulation of goods and materials. "open_research_log": research journal kept as meta-documentation about this year's activities. "generous_city": ongoing collection of images to be used in a future ethnographic account on the reuse of materials in Berlin. "link-collection": current version of an ongoing collection of bookmarks related to the research themes.
DOI: 10.25398/rd.northumbria.17842370
title: OpenDoTT Deployment Dataset: ESR4 Smart Cities
DOI: 10.5281/zenodo.7387248
title: Data from: Decadal Time-Series Depletion of Dissolved Oxygen at Abyssal Depths in the Northeast Pacific

description: <strong>Decadal Time-Series Depletion of Dissolved Oxygen at Abyssal Depths in the Northeast Pacific </strong> K.L. Smith Jr., M. Messié, T.P. Connolly, and C.L. Huffard 10.1029/2022GL101018 <strong>Abstract</strong> Dissolved oxygen depletion in the global ocean is well documented over several decades from the surface ocean to abyssal depths. This decline is especially prevalent in the Northeast Pacific. A significant decline in dissolved oxygen has been measured over 30 years at 4000-4100 m depth (Station M) beneath the California Current off central California. Three principal hypotheses examined the relationship of declining oxygen with biological and physical factors over the 30-year time series. Annual resolution revealed Ekman pumping, coastal upwelling, particulate matter flux, and sediment community oxygen consumption having significant correlations with bottom water dissolved oxygen concentration. Coastal upwelling accounted for 65% of the annual variation in bottom water oxygen concentration. Stepwise regression yielded descriptive models of bottom water dissolved oxygen using coastal upwelling, wind stress and primary production variables. Is continued oxygen depletion in the Northeast Pacific indicative of abyssal regions in the world ocean? <strong>Dataset description:</strong> This datafile contains two data tabs- monthly and yearly summaries of parameters measured near the seafloor and overlying surface waters and climate conditions. See details of data sources in Smith et al. Geophysical Research Letters
DOI: 10.5281/zenodo.7387247
title: Data from: Decadal Time-Series Depletion of Dissolved Oxygen at Abyssal Depths in the Northeast Pacific

description: <strong>Decadal Time-Series Depletion of Dissolved Oxygen at Abyssal Depths in the Northeast Pacific </strong> K.L. Smith Jr., M. Messié, T.P. Connolly, and C.L. Huffard 10.1029/2022GL101018 <strong>Abstract</strong> Dissolved oxygen depletion in the global ocean is well documented over several decades from the surface ocean to abyssal depths. This decline is especially prevalent in the Northeast Pacific. A significant decline in dissolved oxygen has been measured over 30 years at 4000-4100 m depth (Station M) beneath the California Current off central California. Three principal hypotheses examined the relationship of declining oxygen with biological and physical factors over the 30-year time series. Annual resolution revealed Ekman pumping, coastal upwelling, particulate matter flux, and sediment community oxygen consumption having significant correlations with bottom water dissolved oxygen concentration. Coastal upwelling accounted for 65% of the annual variation in bottom water oxygen concentration. Stepwise regression yielded descriptive models of bottom water dissolved oxygen using coastal upwelling, wind stress and primary production variables. Is continued oxygen depletion in the Northeast Pacific indicative of abyssal regions in the world ocean? <strong>Dataset description:</strong> This datafile contains two data tabs- monthly and yearly summaries of parameters measured near the seafloor and overlying surface waters and climate conditions. See details of data sources in Smith et al. Geophysical Research Letters
DOI: 10.25398/rd.northumbria.17842901
title: OpenDoTT Deployment Dataset: ESR5 A Trust Mark for the IoT
DOI: 10.25398/rd.northumbria.17842901.v1
title: OpenDoTT Deployment Dataset: ESR5 A Trustmark for the IoT

description: A Data Gate is a fictional technology that allows people to control information flows in the IoT. Data Gates are electronic tags that are imagined to come in numerous form factors such as badges, wall plaques, stickers, labels or any other compact form. These tags can be programmed to control the flow of information in IoT devices based on rules written into the tag. This project explores the trust in the IoT by allowing people to actively control privacy and consent in IoT devices using a prototype of the Data Gates concept. The aim of <br> this study is to gather qualitative data from participants based on participant's experience of a working prototype of the Data Gates concept and scenarios that explore contexts of use of the Data Gates.
DOI: 10.5281/zenodo.7391330
title: Paleomagnetic data from Cixerri Fm. (SW Sardinia)

description: Paleomagnetic data from the Cixerri Fm. (SW Sardinia).
DOI: 10.5281/zenodo.7391367
title: Quality of survey-based study reports in Dentistry

description: <pre>Database of a research paper entitled:</pre> Quality of survey-based study reports in Dentistry
DOI: 10.34740/kaggle/dsv/4638464
title: Cristiano Ronaldo | All Club Goals
DOI: 10.5281/zenodo.7391366
title: Quality of survey-based study reports in Dentistry

description: <pre>Database of a research paper entitled:</pre> Quality of survey-based study reports in Dentistry
DOI: 10.6084/m9.figshare.21667718
title: PU-NA-BERT.rar

description: We used Electronic medical records from public use datasets provided by Yidu Cloud to obtain the distant dataset by dista。nt supervision. For the obtained distant dataset, to enhance the reliability of the dataset, we used PU learning for denoising to reduce the negative impact of incorrectly labelled negative samples or unlabeled samples on the model. Finally, cancer information extraction was performed using negative sampling and pre-trained models
DOI: 10.6084/m9.figshare.21667718.v1
title: PU-NA-BERT

description: We used Electronic medical records from public use datasets provided by Yidu Cloud to obtain the distant dataset by dista。nt supervision. For the obtained distant dataset, to enhance the reliability of the dataset, we used PU learning for denoising to reduce the negative impact of incorrectly labelled negative samples or unlabeled samples on the model. Finally, cancer information extraction was performed using negative sampling and pre-trained modelsWe used Electronic medical records from public use datasets provided by Yidu Cloud to obtain the distant dataset by distant supervision. For the obtained distant dataset, to enhance the reliability of the dataset, we used PU learning for denoising to reduce the negative impact of incorrectly labelled negative samples or unlabeled samples on the model. Finally, cancer information extraction was performed using negative sampling and pre-trained models
DOI: 10.5066/p9kfrmkt
title: GIS shapefile and related summary data describing irrigated agricultural land use in Charlotte County, Florida for the 2018 growing season

description: The GIS shapefile and summary table provide irrigated agricultural land-use for Charlotte County, Florida through a cooperative project between the U.S Geological Survey (USGS) and the Florida Department of Agriculture and Consumer Services (FDACS), Office of Agricultural Water Policy. Information provided in the shapefile includes the location of irrigated land field-verified between November 2017 and September 2018, crop type, irrigation system type, and primary water source used in Charlotte County, Florida. A map in pdf format is provided to illustrate shapefile information for the county.
DOI: 10.5281/zenodo.7386968
title: Three-way model differencing and conflict detection

description: We have further enhanced our practice, DSMCompare, to detect semantic differences and conflicts based on a three-way domain-specific comparison approach. To evaluate our practice, using a novel technique; we first used a reverse engineering method to transform the minimal collection of conflicting files of source codes involved in each commit into a three model for 95 conflicting commits over 13 open source GitHub projects and then calculated a high precision and recall compared to RefConfMiner's result.<br> The repository contains the results of the evaluation including the common ancestor model, left version mode, right version model, and the results of semantic comparison and conflict detection for each commit. The source code and relevant artifacts such as meta-models are available at:<br> https://github.com/geodes-sms/DSMCompare/
description: The source code and relevant artifacts such as meta-models are available at: https://github.com/geodes-sms/DSMCompare/
description: {"references": ["Zadahmad, M., Syriani, E., Alam, O., Guerra, E., & de Lara, J. (2022). DSMCompare: domain-specific model differencing for graphical domain-specific languages. Software and Systems Modeling, 1-30.", "Zadahmad, M., Syriani, E., Alam, O., Guerra, E., & de Lara, J. (2019, October). Domain-specific model differencing in visual concrete syntax. In Proceedings of the 12th ACM SIGPLAN International Conference on Software Language Engineering (pp. 100-112)."]}