cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21731351.v1
title: The Rαβγ categorisation framework for dexterous robotic manufacturing processes

description: Dexterous robotics systems integrate advanced manipulation and perception capabilities, facilitating advanced process automation. However, the inherent complexities of such processes may induce vulnerabilities, impeding overall performance. A parsimonious categorisation of dexterous robotic processes can disambiguate process attributes and highlight intricacies. Existing robotic categorisations focusing on a single attribute (e.g. manipulator structure) lack a processes view. Existing production process categorisations lack valuation of robotic characteristics. The current work suggests Rαβγ, a holistic categorisation of dexterous robotic processes. Rαβγ integrates robotic concepts within the classical [α|β|γ] production process categorisation and is similarly divided into tiers: Workcell, Task, and Objective. Each tier is defined by qualitative descriptors and quantitative characteristics. The intricacies of each characteristic were quantified by an analytic hierarchical process (AHP), semi-structured interviews with robotic experts were conducted for validation, and utility is demonstrated by three case studies. The AHP results are consistent and interpretable. The interviewees determined that Rαβγ is valuable and comprehensive. The case studies demonstrate the categorisation’s ability to highlight major process attributes. The analysis asserts that Rαβγ can be valuable during different product life cycle phases, e.g. designing, commissioning, etc. Rαβγ uniquely integrates the manufacturing and robotic domains, offering a holistic mechanism for highlighting characteristics of dexterous robotic processes.
DOI: 10.5281/zenodo.8333586
title: MainstreamBIO_ValueChainAnalysis_Dataset7_2023.09.11_v1

description: The Netherlands - Shapefiles
DOI: 10.5281/zenodo.8333585
title: MainstreamBIO_ValueChainAnalysis_Dataset7_2023.09.11_v1

description: The Netherlands - Shapefiles
DOI: 10.5281/zenodo.8318742
title: InnORBIT dissemination and communication plan and outcomes

description: The present dataset is generated in the frame of the Horizon 2020 project "InnORBIT: Empowering innovation intermediaries to generate sustainable initiatives to accelerate the commercialisation of space innovation" (innorbit.eu). This dataset describes the InnORBIT project's dissemination and communication plan and also includes the data collected from dissemination and communication activities to measure the progress against the project's targets for outreach during project implementation (January 1st, 2021 - July 31st, 2023). The current (second) version of the dataset includes the following files: <strong>InnORBIT Dissemination and Communication Plan: </strong>Final version of the deliverable, updated on 30/06/2023. <strong>InnORBIT Dissemination Activities:</strong> Spreadsheet with detailed dissemination data and calculations for the estimation of progress against KPIs. <strong>InnORBIT website analytics (2 files): </strong>Google Analytics reports for the https://innorbit.eu website (file #1: 30/04/2021 - 05/07/2023; file #2: 06/07/2023 - 31/07/2023) <strong>InnORBIT Monitoring and Evalution: </strong>Analytics related to the e-learning platform, including usage and performance of the e-learning content.
DOI: 10.5281/zenodo.7123750
title: InnORBIT dissemination and communication plan and outcomes

description: The present dataset is generated in the frame of the Horizon 2020 project "InnORBIT: Empowering innovation intermediaries to generate sustainable initiatives to accelerate the commercialisation of space innovation" (innorbit.eu). This dataset describes the InnORBIT project's dissemination and communication plan and also includes the data collected from dissemination and communication activities to measure the progress against the project's targets for outreach during project implementation (January 1st, 2021 - July 31st, 2023). The current (second) version of the dataset includes the following files: <strong>InnORBIT Dissemination and Communication Plan: </strong>Final version of the deliverable, updated on 30/06/2023. <strong>InnORBIT Dissemination Activities:</strong> Spreadsheet with detailed dissemination data and calculations for the estimation of progress against KPIs. <strong>InnORBIT website analytics (2 files): </strong>Google Analytics reports for the https://innorbit.eu website (file #1: 30/04/2021 - 05/07/2023; file #2: 06/07/2023 - 31/07/2023) <strong>InnORBIT Monitoring and Evalution: </strong>Analytics related to the e-learning platform, including usage and performance of the e-learning content.
DOI: 10.22002/yd0c5-q5s36
title: A learning-based multiscale model for reactive flow in porous media

description: We study the transport of reactive flow through permeable geological formations, with a focus on advection-dominated transport. As the fluid flows through the permeable medium, it reacts with the medium, changing the morphology, transport, and material properties of the medium; this in turn, affects the flow condition and chemistry. We present a computationally efficient and quantitatively accurate learning-based multiscale framework for reactive transport with volume reactions. We introduce a surrogate of the history-dependent lower-scale behavior that can be used directly at the upper scale and train it using one-time off-line data generated by repeated calculations of the lower-scale problem. The dataset used for training the recurrent neural operator is provided.
DOI: 10.5281/zenodo.8333605
title: MainstreamBIO_ValueChainAnalysis_Dataset8_2023.09.11_v1

description: Poland - Shapefiles
DOI: 10.5281/zenodo.8333604
title: MainstreamBIO_ValueChainAnalysis_Dataset8_2023.09.11_v1

description: Poland - Shapefiles
DOI: 10.57745/e2dbzf
title: checklist-descriptive-sensory-evaluation.pdf

description: :unav
DOI: 10.5281/zenodo.8333617
title: MainstreamBIO_ValueChainAnalysis_Dataset9_2023.09.11_v1

description: Spain - Shapefiles
DOI: 10.5281/zenodo.8333616
title: MainstreamBIO_ValueChainAnalysis_Dataset9_2023.09.11_v1

description: Spain - Shapefiles
DOI: 10.4121/22096397.v2
title: Data presented in the paper: Subsidence reveals potential impacts of future sea level rise on inhabited mangrove coasts

description: To shed light on the future of low-lying rural areas in the face of sea level rise, we studied a 20 km long rural coastline neighbouring a sinking city in Indonesia (8 – 20 cm yr-1), hereafter called studyarea. Through the collection of data across 7 main topics, we show that villages experienced significant RSLR near the city. Mangroves also experienced RSLR near the city, although to a lesser degree, and were able to respond to RSLR rates 4.3 cm yr-1 through various root adaptations. The seven main investigated topics, and their respective datasets: <br>0. village population migration1. village house experienced RSLR2. mangrove experienced RSLR2a. mangrove experienced RSLR2b. rainfall data3. foreshore dynamics4. mangrove bed-level dynamics based on pneumatophore markings5. mangrove root acclimation5.1. pneumatophore markings (same dataset as 4.)5.2. rootmat formation5.3. sedimentation experiment6. lateral mangrove die-back6.1. dead trees and summary of all datasets as used in Figure 4 of the manuscript6.2. pneumatophore mortality (same dataset as 4.)<br><br>
DOI: 10.4121/22096397
title: Data presented in the paper: Subsidence reveals potential impacts of future sea level rise on inhabited mangrove coasts

description: To shed light on the future of low-lying rural areas in the face of sea level rise, we studied a 20 km long rural coastline neighbouring a sinking city in Indonesia (8 – 20 cm yr-1), hereafter called studyarea. Through the collection of data across 7 main topics, we show that villages experienced significant RSLR near the city. Mangroves also experienced RSLR near the city, although to a lesser degree, and were able to respond to RSLR rates 4.3 cm yr-1 through various root adaptations. The seven main investigated topics, and their respective datasets: <br>0. village population migration1. village house experienced RSLR2. mangrove experienced RSLR2a. mangrove experienced RSLR2b. rainfall data3. foreshore dynamics4. mangrove bed-level dynamics based on pneumatophore markings5. mangrove root acclimation5.1. pneumatophore markings (same dataset as 4.)5.2. rootmat formation5.3. sedimentation experiment6. lateral mangrove die-back6.1. dead trees and summary of all datasets as used in Figure 4 of the manuscript6.2. pneumatophore mortality (same dataset as 4.)<br><br>
DOI: 10.5281/zenodo.8333625
title: MainstreamBIO_ValueChainAnalysis_Dataset10_2023.09.11_v1

description: Sweden - Shapefiles
DOI: 10.5281/zenodo.8333624
title: MainstreamBIO_ValueChainAnalysis_Dataset10_2023.09.11_v1

description: Sweden - Shapefiles
DOI: 10.5281/zenodo.8249902
title: Molecular dynamics dataset of Trypsin-Benzamidine

description: This dataset contains all-atom molecular dynamics trajectories of Trypsin-Benzamidine. All details regarding the molecular dynamics setup are given in references [1, 2]. The dataset consists of two parts and comes with a time step of 100 ps. <strong>long-trajs.tar</strong>: cumulative of 100 µs of MD data in trajectories of 48 x 2 µs and 4 x 1 µs. Generated and used in [1]. <strong>gpugrid-trajs.tar</strong>: cumulative of 49.5 µs of MD data in trajectories of 495 x 100 ns. Generated for [2] and used in [1, 2]. [1] Plattner, N.; Noé, F. Protein Conformational Plasticity and Complex Ligand-Binding Kinetics Explored by Atomistic Simulations and Markov Models. <em>Nature Communications</em> <strong>2015</strong>, <em>6</em>, 7653. https://doi.org/10.1038/ncomms8653. [2] Buch, I.; Giorgino, T.; De Fabritiis, G. Complete Reconstruction of an Enzyme-Inhibitor Binding Process by Molecular Dynamics Simulations. <em>Proc. Natl. Acad. Sci. U.S.A.</em> <strong>2011</strong>, <em>108</em> (25), 10184–10189. https://doi.org/10.1073/pnas.1103547108.
DOI: 10.5281/zenodo.8249901
title: Molecular dynamics dataset of Trypsin-Benzamidine

description: This dataset contains all-atom molecular dynamics trajectories of Trypsin-Benzamidine. All details regarding the molecular dynamics setup are given in references [1, 2]. The dataset consists of two parts and comes with a time step of 100 ps. <strong>long-trajs.tar</strong>: cumulative of 100 µs of MD data in trajectories of 48 x 2 µs and 4 x 1 µs. Generated and used in [1]. <strong>gpugrid-trajs.tar</strong>: cumulative of 49.5 µs of MD data in trajectories of 495 x 100 ns. Generated for [2] and used in [1, 2]. [1] Plattner, N.; Noé, F. Protein Conformational Plasticity and Complex Ligand-Binding Kinetics Explored by Atomistic Simulations and Markov Models. <em>Nature Communications</em> <strong>2015</strong>, <em>6</em>, 7653. https://doi.org/10.1038/ncomms8653. [2] Buch, I.; Giorgino, T.; De Fabritiis, G. Complete Reconstruction of an Enzyme-Inhibitor Binding Process by Molecular Dynamics Simulations. <em>Proc. Natl. Acad. Sci. U.S.A.</em> <strong>2011</strong>, <em>108</em> (25), 10184–10189. https://doi.org/10.1073/pnas.1103547108.
DOI: 10.5281/zenodo.7573559
title: Datensatz: Digital erschlossene NS-Arbeitsbücher (Laufzeit: 1935-1945) aus der "Waldwerke Passau GmbH" (1942-1945)

description: Relationaler Datensatz mit strukturiert erfassten Daten (Personen, Beschäftigungen, Betriebe, Orte) aus 196 Arbeitsbüchern aus der Zeit des deutschen Nationalsozialismus. Die Arbeitsbücher (Ausstellungsdatum: 1935-1945) sind im Stadtarchiv Passau überliefert und gehörten Arbeiterinnen und Arbeitern, die am Ende des Zweiten Weltkrieges im Rüstungsbetrieb „Waldwerke GmbH Passau“ beschäftigt waren. Die Daten aus diesen seriellen Quellen ermöglichen die Untersuchung zahlreicher geschichtswissenschaftlicher Fragestellungen u.a. zu den Themen: Individuelle berufliche Laufbahnen, Branchen- und Beschäftigungsarten, berufliche Bildung, Arbeitsmobilität sowie Arbeitslenkung und Arbeitspolitik im Nationalsozialismus. Zur Entstehung des Datensatzes, zur Datenerfassung sowie zur Datenstruktur siehe die ausführliche Dokumentation, die dem Datensatz beigegeben ist ("Dokumentation.pdf"). Der Datensatz ergänzt den folgenden Aufsatz, der eine wissenschaftliche Auswertung der Daten in Bezug auf Betriebsnetzwerke, Arbeitspolitik und Arbeitsmobilität im Dritten Reich vorstellt: <em>Alina Ostrowski, Jorit Hopp, Benjamin Seebröker, Lukas Bartl, Markus Gerstmeier, Heiko Brendel, Simon Donig</em> und <em>Malte Rehbein</em>: Arbeitsmigration in der süddeutschen NS-Kriegswirtschaft. Computergestützte Datenexploration mittels historischer Geoinformation und Netzwerkanalyse, in: Geschichte in Wissenschaft und Unterricht 74 H. 9/10 (2023), S. 550–570.
description: Der Datensatz entstand im Rahmen des Geisteswissenschaftlichen Kollegs VII (2019-2021) der Studienstiftung des deutschen Volkes (https://www.studienstiftung.de/wissenschaftliche-kollegs) unter der Leitung von Malte Rehbein und Wissenschaftlichen Mitarbeitern des Lehrstuhls für Digital Humanities der Universität Passau. Die Planung der Datenstruktur sowie Datenerfassung wurde von Stipendiatinnen und Stipendiaten in der Grund- und der Promotionsförderung durchgeführt. Dies umfasste zu verschiedenen Phasen der Datenerfassung noch mehr als die hier angegeben Autoren und Autorinnen.
description: {"references": ["Alina Ostrowski, Jorit Hopp, Benjamin Seebr\u00f6ker, Lukas Bartl, Markus Gerstmeier, Heiko Brendel, Simon Donig und Malte Rehbein: Arbeitsmigration in der s\u00fcddeutschen NS-Kriegswirtschaft. Computergest\u00fctzte Datenexploration mittels historischer Geoinformation und Netzwerkanalyse, in: Geschichte in Wissenschaft und Unterricht 74 H. 9/10 (2023), S. 550\u2013570."]}
DOI: 10.5281/zenodo.7573558
title: Datensatz: Digital erschlossene NS-Arbeitsbücher (Laufzeit: 1935-1945) aus der "Waldwerke Passau GmbH" (1942-1945)

description: Relationaler Datensatz mit strukturiert erfassten Daten (Personen, Beschäftigungen, Betriebe, Orte) aus 196 Arbeitsbüchern aus der Zeit des deutschen Nationalsozialismus. Die Arbeitsbücher (Ausstellungsdatum: 1935-1945) sind im Stadtarchiv Passau überliefert und gehörten Arbeiterinnen und Arbeitern, die am Ende des Zweiten Weltkrieges im Rüstungsbetrieb „Waldwerke GmbH Passau“ beschäftigt waren. Die Daten aus diesen seriellen Quellen ermöglichen die Untersuchung zahlreicher geschichtswissenschaftlicher Fragestellungen u.a. zu den Themen: Individuelle berufliche Laufbahnen, Branchen- und Beschäftigungsarten, berufliche Bildung, Arbeitsmobilität sowie Arbeitslenkung und Arbeitspolitik im Nationalsozialismus. Zur Entstehung des Datensatzes, zur Datenerfassung sowie zur Datenstruktur siehe die ausführliche Dokumentation, die dem Datensatz beigegeben ist ("Dokumentation.pdf"). Der Datensatz ergänzt den folgenden Aufsatz, der eine wissenschaftliche Auswertung der Daten in Bezug auf Betriebsnetzwerke, Arbeitspolitik und Arbeitsmobilität im Dritten Reich vorstellt: <em>Alina Ostrowski, Jorit Hopp, Benjamin Seebröker, Lukas Bartl, Markus Gerstmeier, Heiko Brendel, Simon Donig</em> und <em>Malte Rehbein</em>: Arbeitsmigration in der süddeutschen NS-Kriegswirtschaft. Computergestützte Datenexploration mittels historischer Geoinformation und Netzwerkanalyse, in: Geschichte in Wissenschaft und Unterricht 74 H. 9/10 (2023), S. 550–570.
description: Der Datensatz entstand im Rahmen des Geisteswissenschaftlichen Kollegs VII (2019-2021) der Studienstiftung des deutschen Volkes (https://www.studienstiftung.de/wissenschaftliche-kollegs) unter der Leitung von Malte Rehbein und Wissenschaftlichen Mitarbeitern des Lehrstuhls für Digital Humanities der Universität Passau. Die Planung der Datenstruktur sowie Datenerfassung wurde von Stipendiatinnen und Stipendiaten in der Grund- und der Promotionsförderung durchgeführt. Dies umfasste zu verschiedenen Phasen der Datenerfassung noch mehr als die hier angegeben Autoren und Autorinnen.
description: {"references": ["Alina Ostrowski, Jorit Hopp, Benjamin Seebr\u00f6ker, Lukas Bartl, Markus Gerstmeier, Heiko Brendel, Simon Donig und Malte Rehbein: Arbeitsmigration in der s\u00fcddeutschen NS-Kriegswirtschaft. Computergest\u00fctzte Datenexploration mittels historischer Geoinformation und Netzwerkanalyse, in: Geschichte in Wissenschaft und Unterricht 74 H. 9/10 (2023), S. 550\u2013570."]}
DOI: 10.5281/zenodo.8333643
title: MainstreamBIO_ValueChainAnalysis_Dataset11_2023.09.11_v1

description: ShapeFiles - Maps - Sankey diagrams for the Regional Value Chains: 1) South Central (NUTS2: BG42) 2) Zealand NUTS2: (DK02) Mid Jutland (NUTS2: DK04), Northern Jutland (NUTS2: DK05) 3) Southern Ireland (NUTS2: IE05) 4) Friesland (NUTS2: NL12) Flevoland (NUTS2: NL23) 5) Lubelskie (NUTS2: PL81) 6) Catalonia (NUTS2: ES51), Navarre (NUTS2: ES22), Aragon (NUTS2: ES24) 7) Middle Norrland (NUTS2: SE32), Upper Norland (NUTS2: SE33)
DOI: 10.5281/zenodo.8333642
title: MainstreamBIO_ValueChainAnalysis_Dataset11_2023.09.11_v1

description: ShapeFiles - Maps - Sankey diagrams for the Regional Value Chains: 1) South Central (NUTS2: BG42) 2) Zealand NUTS2: (DK02) Mid Jutland (NUTS2: DK04), Northern Jutland (NUTS2: DK05) 3) Southern Ireland (NUTS2: IE05) 4) Friesland (NUTS2: NL12) Flevoland (NUTS2: NL23) 5) Lubelskie (NUTS2: PL81) 6) Catalonia (NUTS2: ES51), Navarre (NUTS2: ES22), Aragon (NUTS2: ES24) 7) Middle Norrland (NUTS2: SE32), Upper Norland (NUTS2: SE33)
DOI: 10.5281/zenodo.8333675
title: Test

description: Test
DOI: 10.5281/zenodo.8333674
title: Test

description: Test
DOI: 10.6084/m9.figshare.24117384
title: Pre-and Post-tests Scores.txt

description: This file contains a dataset of N=108 Chinese EFL learners' pre- and post-English VP Idioms test scores. In this file, "No." refers to the number of students in each group (N=54 in both the experimental group and control group). "Student ID" is the participant's identification number at the university where this research was conducted. Each participant's scores are displayed under "Pre-test" and "Post-test." Furthermore, the "group" category designates whether a participant belongs to the experimental group, denoted by "e," or the control group, indicated by "c."
DOI: 10.6084/m9.figshare.24117390
title: IMMS Scores.txt

description: This file contains a dataset of N=108 Chinese EFL learners' IMMS (<i>Instructional Materials Motivation Survey</i>) scores. In this file, "No." refers to the number of students in each group (N=54 in both the experimental group and control group). "Student ID" is the participant's identification number at the university where this research was conducted. The "group" category designates whether a participant belongs to the experimental group, denoted by "e," or the control group, indicated by "c." "C", "A" ,"R", and "S" correspond to the subscales of motivations, representing "Confidence", "Attention", "Relevance", and "Satisfaction" respectively. Finally, the "total" category displays the participant's total IMMS score.
DOI: 10.6084/m9.figshare.24117390.v1
title: IMMS Scores.txt

description: This file contains a dataset of N=108 Chinese EFL learners' IMMS (<i>Instructional Materials Motivation Survey</i>) scores. In this file, "No." refers to the number of students in each group (N=54 in both the experimental group and control group). "Student ID" is the participant's identification number at the university where this research was conducted. The "group" category designates whether a participant belongs to the experimental group, denoted by "e," or the control group, indicated by "c." "C", "A" ,"R", and "S" correspond to the subscales of motivations, representing "Confidence", "Attention", "Relevance", and "Satisfaction" respectively. Finally, the "total" category displays the participant's total IMMS score.
DOI: 10.5281/zenodo.8141626
title: Cipher Machine Hagelin M-209 (Inv. 2017-397)

description: This dataset represents the computed tomography image acquisition of a historical cipher machine from the collection of the Deutsches Museum. It is composed of CT reconstructed image stacks in the DICOM (.dcm) format.<br> It can be imported in any free or propietary CT-Viewer that supports the DICOM standard to generated 2D and 3D imaging.<br> If segmentations/ROIs are availabe, they are uploaded in a seperate image stacks and are a subset of the scanned cipher machine. object details:<br> name: Hagelin M-209<br> Inv.-No. of the Deutsches Museum: 2017-397 file object details:<br> file format: image/dcm<br> pixel spacing unit: mm<br> X pixel spacing: 0.181<br> Y pixel spacing: 0.181<br> Z pixel spacing: 0.181<br> grid size x: 1109<br> grid size y: 807<br> grid size z: 517<br> color depth: 16Bit ownership & image acquisition:<br> project: 3D-Cipher<br> collection: Deutsches Museum<br> IP holder: Deutsches Museum<br> license: Creative Commons BY-SA 4.0<br> scanning facility: Fraunhofer Development Center X-ray Technology EZRT/Fraunhofer IIS<br> scanning device: High Energy CT XXL-CT<br> Funding attribution: German Federal Ministry of Education and Research<br> acknowledgement: CryptoMuseum (as main source for informations about the cipher machines)
description: Funding: German Federal Ministry of Education and Research (BMBF), grant programme: eHeritage.
DOI: 10.5281/zenodo.8141627
title: Cipher Machine Hagelin M-209 (Inv. 2017-397)

description: This dataset represents the computed tomography image acquisition of a historical cipher machine from the collection of the Deutsches Museum. It is composed of CT reconstructed image stacks in the DICOM (.dcm) format.<br> It can be imported in any free or propietary CT-Viewer that supports the DICOM standard to generated 2D and 3D imaging.<br> If segmentations/ROIs are availabe, they are uploaded in a seperate image stacks and are a subset of the scanned cipher machine. object details:<br> name: Hagelin M-209<br> Inv.-No. of the Deutsches Museum: 2017-397 file object details:<br> file format: image/dcm<br> pixel spacing unit: mm<br> X pixel spacing: 0.181<br> Y pixel spacing: 0.181<br> Z pixel spacing: 0.181<br> grid size x: 1109<br> grid size y: 807<br> grid size z: 517<br> color depth: 16Bit ownership & image acquisition:<br> project: 3D-Cipher<br> collection: Deutsches Museum<br> IP holder: Deutsches Museum<br> license: Creative Commons BY-SA 4.0<br> scanning facility: Fraunhofer Development Center X-ray Technology EZRT/Fraunhofer IIS<br> scanning device: High Energy CT XXL-CT<br> Funding attribution: German Federal Ministry of Education and Research<br> acknowledgement: CryptoMuseum (as main source for informations about the cipher machines)
description: Funding: German Federal Ministry of Education and Research (BMBF), grant programme: eHeritage.
DOI: 10.5281/zenodo.8333670
title: Cipher Machine Hagelin M-209_surface meshes (Inv. 2017-397)

description: Surface Meshes created from reconstructed CT-image stacks.<br> The inital CT dataset is linked as a related identifier.
DOI: 10.5281/zenodo.8333671
title: Cipher Machine Hagelin M-209_surface meshes (Inv. 2017-397)

description: Surface Meshes created from reconstructed CT-image stacks.<br> The inital CT dataset is linked as a related identifier.
DOI: 10.5281/zenodo.8333568
title: Structural determinants of Liver receptor X modulation (LXRalfa) – MD

description: Please check the readme file for the simulation descriptions
DOI: 10.5281/zenodo.8333567
title: Structural determinants of Liver receptor X modulation (LXRalfa) – MD

description: Please check the readme file for the simulation descriptions