cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.18551225.v1
title: Raw Data F1000.xlsx

description: Khamira Abresham Hakim Arshadwala (KAHAW), a distinguished, traditional Unani formulation comprising constituents of herbal, animal, and mineral origin, holds salubrious cardioprotective potential and has been used for cardiac ailments in the Unani system for ages. KAHAW is a ‘sugar-based’ preparation, which hinders its ‘claim to fame’ amongst cardiac patients with diabetes. Hence, it is fascinating to develop a novel nanoformulation of the traditional one and screen its efficacy experimentally. To revolutionize this historic gem of a formulation and enhance its therapeutic efficacy, a novel nanoformulation of KAHAW was developed, and its cardioprotective potential screened against isoprenaline (ISO) induced cardiotoxicity in rodents. The results were analyzed with the traditional formulations and two clinically used drugs, Ramipril and Carvedilol. Various parameters viz; Physical, Enzymatic, Non-enzymatic, and cardiac-specific biomarkers like α/β-MHC expression (Western Blot), Flow cytometry, Cardiac collagen content, and Mitochondrial enzyme assay were assessed on plasma, blood, and tissue samples followed by histomorphological investigations. The effect of nanoformulation showed highly significant results (***p&lt;0.001) when compared to disease control for different parameters viz, Total protein, GPx and GSH, Lipid peroxidation, and Vitamin E. The cardiac-specific biomarkers like α/β-MHC Expression (Western Blot), Flow Cytometry, Cardiac collagen content, and Mitochondrial enzyme assay also advocated the highly significant (***p&lt;0.001) cardioprotective activity of the developed nanoformulation. The research reiterates that the novel nanoformulation offers improved efficacy at a reduced dose against ISO-induced experimental models of myocardial necrosis.
DOI: 10.25828/xfda-yx94
title: Georgia Tobacco Survey 2017-2019
DOI: 10.6073/pasta/42643d3f6906a51130f62d408f39932b
title: Hubbard Brook Experimental Forest 30m DEM: Raster GeoTIFF

description: The 7.5-minute digital elevation model (DEM) data are digital representations of cartographic information in a raster form. The DEMs consist of an array of elevations for ground positions at regularly spaced intervals. The data are produced in 7.5- by 7.5-minute blocks from either digitized cartographic map contour overlays of a scanned National Aerial Photography Program (NAPP) photographs. The DEM data are stored as profiles with a 10- or 30-meter square grid spacing along and between each profile. The original USGS DEM data (Mt. Kineo and Woodstock quadrangles) were merged and projected into UTM Zone 19. The resultant grid was clipped to a box surrounding the USDA Forest Service, Hubbard Brook Experimental Forest. Data distributed as GeoTIFF format in Coordinate system EPSG:26919 - NAD83 / UTM zone 19N.
DOI: 10.6073/pasta/13e52e631bb62556c2321046a720cfed
title: Hubbard Brook Experimental Forest 30m DEM: Raster GeoTIFF

description: The 7.5-minute digital elevation model (DEM) data are digital representations of cartographic information in a raster form. The DEMs consist of an array of elevations for ground positions at regularly spaced intervals. The data are produced in 7.5- by 7.5-minute blocks from either digitized cartographic map contour overlays of a scanned National Aerial Photography Program (NAPP) photographs. The DEM data are stored as profiles with a 10- or 30-meter square grid spacing along and between each profile. The original USGS DEM data (Mt. Kineo and Woodstock quadrangles) were merged and projected into UTM Zone 19. The resultant grid was clipped to a box surrounding the USDA Forest Service, Hubbard Brook Experimental Forest. Data distributed as GeoTIFF format in Coordinate system EPSG:26919 - NAD83 / UTM zone 19N.
DOI: 10.6084/m9.figshare.12133185
title: Internally Consistent Modelling of Polymer Mixtures via the SAFT- γ Mie Equation of State and Its Underlying Coarse Grained Force Field

description: Data and simulation files to accompany Research Article, No. mats.202100031) in Macromolecular Theory and Simulations <br>Coarse-Grained Molecular Simulation of Polymers Supported by the Use of the SAFT-𝜸 Mie Equation of State<br> https://doi.org/10.1002/mats.202100031<br>
DOI: 10.6084/m9.figshare.12133185.v1
title: Internally Consistent Modelling of Polymer Mixtures via the SAFT- γ Mie Equation of State and Its Underlying Coarse Grained Force Field

description: Data and simulation files to accompany Research Article, No. mats.202100031) in Macromolecular Theory and Simulations <br>Coarse-Grained Molecular Simulation of Polymers Supported by the Use of the SAFT-𝜸 Mie Equation of State<br> https://doi.org/10.1002/mats.202100031<br>
DOI: 10.5281/zenodo.5865756
title: Electrophorus electricus decontaminated gx

description: .
DOI: 10.5281/zenodo.5865755
title: Electrophorus electricus decontaminated gx

description: .
DOI: 10.6084/m9.figshare.14935668
title: Data processing files: Birds can transition between stable and unstable states via wing morphing

description: This data set contains all of the files used to process the output data from AvInertia, including the phylogenetic tree.
DOI: 10.6084/m9.figshare.14935668.v1
title: Data processing files: Inertia links avian morphology to flight manoeuvrability

description: This data set contains all of the files used to process the output data from AvInertia, including the phylogenetic tree.
DOI: 10.6084/m9.figshare.14935662
title: Data output files: Birds can transition between stable and unstable states via wing morphing

description: This dataset contains all of the files output from AvInertia that are required to process the results.
DOI: 10.6084/m9.figshare.14935662.v1
title: Data output files: Inertia links avian morphology to flight manoeuvrability

description: This dataset contains all of the files output from AvInertia that are required to process the results.
DOI: 10.6084/m9.figshare.14935659
title: Data input files: Birds can transition between stable and unstable states via wing morphing

description: This data set contains all of the input files that are required to use the "run_script.R" to obtain the final output results. This includes the body and feather morphological measurements as well as the aligned optitrack outputs. This includes "Assumption_Tracking.xlsx" that details every measurement assumption that was made within the study and "VerificationData.xlsx" that details the torso densities and estimates of the head only CG position as discussed in the supplemental methods.<br>
DOI: 10.6084/m9.figshare.14935659.v1
title: Data input files: Inertia links avian morphology to flight manoeuvrability

description: This data set contains all of the input files that are required to use the "run_script.R" to obtain the final output results. This includes the body and feather morphological measurements as well as the aligned optitrack outputs. This includes "Assumption_Tracking.xlsx" that details every measurement assumption that was made within the study and "VerificationData.xlsx" that details the torso densities and estimates of the head only CG position as discussed in the supplemental methods.<br>
DOI: 10.25835/0067988
title: A generic gust definition and detection method based on wavelet-analysis

description: This dataset is associated with the paper Knoop et al. (2019) titled "A generic gust definition and detection method based on wavelet-analysis" published in "Advances in Science and Research (ASR)" within the Special Issue: 18th EMS Annual Meeting: European Conference for Applied Meteorology and Climatology 2018. It contains the data and analysis software required to recreate all figures in the publication.
DOI: 10.5281/zenodo.5865857
title: Causal reasoning over knowledge graphs leveraging drug-perturbed and disease-specific transcriptomic signatures for drug discovery

description: This contains data described in detail in our paper, "Causal reasoning over knowledge graphs leveraging drug-perturbed and disease-specific transcriptomic signatures for drug discovery", where we develop a novel algorithm called RPath that prioritizes drugs for a given disease by reasoning over causal paths in a knowledge graph (KG), guided by both drug-perturbed as well as disease-specific transcriptomic signatures.
DOI: 10.5281/zenodo.5865856
title: Causal reasoning over knowledge graphs leveraging drug-perturbed and disease-specific transcriptomic signatures for drug discovery

description: This contains data described in detail in our paper, "Causal reasoning over knowledge graphs leveraging drug-perturbed and disease-specific transcriptomic signatures for drug discovery", where we develop a novel algorithm called RPath that prioritizes drugs for a given disease by reasoning over causal paths in a knowledge graph (KG), guided by both drug-perturbed as well as disease-specific transcriptomic signatures.
DOI: 10.25835/0039431
title: dom2vec: Protein domain embeddings

description: Pre-trained dom2vec protein domain embeddings used for downstream evaluation discussed in "dom2vec: Capturing domain structure and function using self-supervision on protein domain architectures" (bioRxiv manuscript: [link](https://www.biorxiv.org/content/10.1101/2020.03.17.995498v2)). The domain embeddings were trained using the annotations of InterPro db version 75.0.
DOI: 10.25835/0038751
title: ORKG QA table dataset

description: A collection of tables collected from the open research knowledge graph (ORKG) infrastructure, with a set of questions about these tables.
DOI: 10.25835/0073713
title: PALM 6.0 revision 4508

description: Source code of the PALM model system 6.0 in revision 4508 including a passive3 chemistry mechanism, which serves as a baseline for validation in a realistic urban environment in Prague, Dejvice, Czech Republic
DOI: 10.25835/0022787
title: SemEval-2021 Task 11 Shared Task Dataset

description: ## NLPContributionGraph - Structuring Scholarly NLP Contributions in the Open Research Knowledge Graph ### Background [__NLPContributionGraph__](https://ncg-task.github.io/) was introduced as Task 11 at [SemEval 2021](https://semeval.github.io/SemEval2021/tasks) for the first time. The task is defined on a dataset of Natural Language Processing (NLP) scholarly articles with their contributions structured to be integrable within Knowledge Graph infrastructures such as the [Open Research Knowledge Graph](https://www.orkg.org/). The structured contribution annotations are provided as (1) __Contribution sentences__ : a set of sentences about the contribution in the article; (2) __Scientific terms and relations__: a set of scientific terms and relational cue phrases extracted from the contribution sentences; and (3) __Triples__: semantic statements that pair scientific terms with a relation, modeled toward subject-predicate-object RDF statements for KG building. The Triples are organized under three (mandatory) or more of twelve total information units (viz., _ResearchProblem_, _Approach_, _Model_, _Code_, _Dataset_, _ExperimentalSetup_, _Hyperparameters_, _Baselines_, _Results_, _Tasks_, _Experiments_, and _AblationAnalysis_). ### The Shared Task As a complete submission for the Shared Task, given NLP scholarly articles in plaintext format, systems had to automatically extract the following information: * contribution sentences; * scientific term and predicate phrases from the sentences; and * (subject,predicate,object) triple statements toward KG building organized under three or more of twelve total information units.
DOI: 10.25835/0017546
title: STEM-ECR-v1.0

description: ##Grounding Scientific Entity References in STEM Scholarly Content to Authoritative Encyclopedic and Lexicographic Sources The STEM ECR v1.0 dataset has been developed to provide a benchmark for the evaluation of scientific entity extraction, classification, and resolution tasks in a domain-independent fashion. It comprises annotations for scientific entities in scientific Abstracts drawn from 10 disciplines in Science, Technology, Engineering, and Medicine. The annotated entities are further grounded to Wikipedia and Wiktionary, respectively. ###What this repository contains? The dataset is organized in the following folders: * Scientific Entity Annotations: Contains annotations for Process, Material, Method, and Data scientific entities in the STEM dataset. * Scientific Entity Resolution: Annotations for the STEM dataset scientific entities with Entity Linking (EL) annotations to Wikipedia and Word Sense Disambiguation (WSD) annotations to Wiktionary. ###Annotation Guidelines The annotation guidelines that supported the creation of this corpus can be found [here](https://gitlab.com/TIBHannover/orkg/orkg-nlp/-/blob/master/STEM-ECR-v1.0/annotation-guidelines-for-scientific-linked-data.pdf "Guidelines"). ###Supporting Publication D'Souza, J., Hoppe, A., Brack, A., Jaradeh, M., Auer, S., & Ewerth, R. (2020). [The STEM-ECR Dataset: Grounding Scientific Entity References in STEM Scholarly Content to Authoritative Encyclopedic and Lexicographic Sources](https://www.aclweb.org/anthology/2020.lrec-1.268). In Proceedings of The 12th Language Resources and Evaluation Conference (pp. 2192–2203). European Language Resources Association. ###Useful Links * https://github.com/elsevierlabs/OA-STM-Corpus/ * https://brat.nlplab.org/ * https://dumps.wikimedia.org/enwiki/20190920/ * https://dumps.wikimedia.org/enwiktionary/20190920/ * https://dkpro.github.io/dkpro-jwpl/ * https://dkpro.github.io/dkpro-jwktl/ * https://orkg.org/orkg
DOI: 10.25835/0030614
title: Towards a better representation of fog microphysics in large-eddy simulations based on an embedded Lagrangian cloud model

description: All data of the study: 'Towards a better representation of fog microphysics in large-eddy simulations based on an embedded Lagrangian cloud model'
DOI: 10.25835/0078042
title: Wind Turbine Simulation Data for Meta-Modelling

description: This data set correlates environmental conditions acting on an offshore wind turbine (inputs) with fatigue loads of the turbine (outputs). The investigated wind turbine is the NREL 5MW reference turbine and the OC3 monopile. Environmental conditions are based on FINO3 data (https://www.fino3.de/en/). Time series of bending moments and shear forces at mudline and blade root bending moments are computed using the FASTv8 simulation code by the NREL. 10.000 simulations for varying environmental conditions (and varying random seeds) were conducted. Short-term damage equivalent loads (DELs) representing fatigue were calculated for several relevant positions (at mudline and at the blade root). For further information, it is referred to "Huebler, C., & Rolfes, R. (2020). Analysis of the influence of climate change on the fatigue lifetime of offshore wind turbines using imprecise probabilities. Wind Energy. 2020;1–15."
DOI: 10.6084/m9.figshare.16887606
title: Intergovernmental cooperation networks, national policy positions and partisan ideologies: longitudinal evidence from the Council of the European Union

description: This study describes and explains the evolution of cooperation networks among member states in the European Union. We examine the effects of similarities between states in their policy positions on specific controversial issues, the ideological orientations of their national governments, and the presence of populist parties in national governments. This builds on a prominent explanation of political ties, according to which political actors who share similar characteristics are likely to cooperate. The analysis examines cooperation networks in the Committee of Permanent Representatives (Coreper I), one of the highest-level committees in the Council, in the period 2003–2018. The findings indicate that states with similar policy positions on specific controversial issues tend to form cooperative relationships, while party ideology indirectly and relatively weakly affects the formation of ties. Surprisingly, the presence of populist parties is unrelated to network evolution. These findings have implications for the extent to which cooperation in the Council is shaped by national democratic processes.
DOI: 10.6084/m9.figshare.16965462
title: Electoral competitiveness and responsiveness: rational anticipation in the EU Council

description: Several studies have reported a relationship between governments’ behaviour in the EU Council and public opinion. However, doubts remain about which mechanisms drive this relationship. We argue that governments align their behaviour with public opinion to forestall future electoral sanctions (<i>rational anticipation</i>). To test this, we deduce hitherto untested observable implications of rational anticipation which suggest that governments’ responsiveness to public opinion depends on national-level electoral competitiveness. Using DEU modules I-III and an original empirical measure of electoral competitiveness, we ascertain whether governments adjust their responsiveness as: (1) the expected time period to upcoming elections decreases, and (2) the probability of losing their position in the party system in the next election changes. Our results provide evidence that government parties rationally anticipate risks related to their position in the party system but not to early elections. These findings have implications for our understanding of representation in the Council.
DOI: 10.6084/m9.figshare.16887606.v1
title: Intergovernmental cooperation networks, national policy positions and partisan ideologies: longitudinal evidence from the Council of the European Union

description: This study describes and explains the evolution of cooperation networks among member states in the European Union. We examine the effects of similarities between states in their policy positions on specific controversial issues, the ideological orientations of their national governments, and the presence of populist parties in national governments. This builds on a prominent explanation of political ties, according to which political actors who share similar characteristics are likely to cooperate. The analysis examines cooperation networks in the Committee of Permanent Representatives (Coreper I), one of the highest-level committees in the Council, in the period 2003–2018. The findings indicate that states with similar policy positions on specific controversial issues tend to form cooperative relationships, while party ideology indirectly and relatively weakly affects the formation of ties. Surprisingly, the presence of populist parties is unrelated to network evolution. These findings have implications for the extent to which cooperation in the Council is shaped by national democratic processes.
DOI: 10.6084/m9.figshare.16965462.v1
title: Electoral competitiveness and responsiveness: rational anticipation in the EU Council

description: Several studies have reported a relationship between governments’ behaviour in the EU Council and public opinion. However, doubts remain about which mechanisms drive this relationship. We argue that governments align their behaviour with public opinion to forestall future electoral sanctions (<i>rational anticipation</i>). To test this, we deduce hitherto untested observable implications of rational anticipation which suggest that governments’ responsiveness to public opinion depends on national-level electoral competitiveness. Using DEU modules I-III and an original empirical measure of electoral competitiveness, we ascertain whether governments adjust their responsiveness as: (1) the expected time period to upcoming elections decreases, and (2) the probability of losing their position in the party system in the next election changes. Our results provide evidence that government parties rationally anticipate risks related to their position in the party system but not to early elections. These findings have implications for our understanding of representation in the Council.
DOI: 10.6084/m9.figshare.11881332.v4
title: Dataset for Lower Limb Prosthesis

description: Dataset of multiple heterogeneous sensors for lower limb prosthesis
DOI: 10.6084/m9.figshare.18551303
title: Vlasov&Keppler, 2022. SI JGR

description: Supporting information for the article "Electrical Conductivity of KCl-H2O fluids in the crust and lithospheric mantle" by K. Vlasov & H. Keppler, 2022. Submitted to Journal of Geophysical Research: Solid Earth<br>
DOI: 10.6084/m9.figshare.18551303.v1
title: Vlasov&Keppler, 2022. SI JGR

description: Supporting information for the article "Electrical Conductivity of KCl-H2O fluids in the crust and lithospheric mantle" by K. Vlasov & H. Keppler, 2022. Submitted to Journal of Geophysical Research: Solid Earth<br>
DOI: 10.6084/m9.figshare.11881332.v5
title: Dataset for Lower Limb Prosthesis

description: Dataset of multiple heterogeneous sensors for lower limb prosthesis
DOI: 10.5281/zenodo.5864324
title: PyRAT-data-example

description: Dataset published together with the PyRAT (Python in Rodent Analysis and Tracking). PyRat is a user friendly library in python to analyze data from the DeepLabCut. Developed to help researchers unfamiliar with programming can perform animal behavior analysis more simpler. See more in https://github.com/pyratlib/pyrat.
DOI: 10.5281/zenodo.5865861
title: Investigating the Point of View of Project Management Practitioners on Technical Debt - A Preliminary Study on Stack Exchange

description: Dataset used in the work 'Investigating the Point of View of Project Management Practitioners on Technical Debt - A Preliminary Study on Stack Exchange'. Authors not presented due to double blind review.
DOI: 10.34740/kaggle/dsv/3054755
title: Covid-19 in Singapore : Latest Detailed Data
DOI: 10.5281/zenodo.5865889
title: Electophorus electricus zanfona pass 1

description: .
DOI: 10.5281/zenodo.5865888
title: Electophorus electricus zanfona pass 1

description: .
DOI: 10.5281/zenodo.5841971
title: OUTOFDATE-cartoGRAPHs-sourcedata

description: Source Data for the cartoGRAPHs python module. Please find more information here: https://github.com/menchelab/CartoGRAPHs
DOI: 10.5281/zenodo.5816185
title: OUTOFDATE-cartoGRAPHs-sourcedata

description: Source Data for the cartoGRAPHs python module. Please find more information here: https://github.com/menchelab/CartoGRAPHs
DOI: 10.6084/m9.figshare.11881332.v6
title: Dataset with all related material

description: Acquiring the human’s musculoskeletal movements is pivotal in conducting physiotherapeutic studies, rehabilitation exercises and, designing assistive devices to cater mobility impairments. Existing studies are generally more focused on measuring a specific phenomenon and/or lack the diversity needed to cover a range of human activities. In this context, the research presented herein is aimed to develop a low-cost wearable sensory system, having a diverse set of sensors, which can acquire data of healthy and rehabilitated subjects alike during diverse locomotor activities in both indoor and outdoor environments. The system consists of twenty wearable sensors, and two off-the-shelf NI’s myRIO microcontroller boards. The statistical analysis showed no significant difference between and among the subjects for various locomotor activities (P-values &lt; 0.05), hence, showing the system’s reliability and reproducibility. Gait-event identification (i.e., heel contact/toe off) has also been evaluated and showed promising results (overall time difference= ±50ms during level ground and ramp activities).