Find research datasets worth reusing

opencc-by-4.0Nov 2022View details →

single-cell RNAseq data (data set 15) in the publication scFASTCORMICS: A contextualization algorithm to reconstruct metabolic multi-cell population models from single-cell RNAseq data

The present dataset (dataset15) was used as input to build scFASTCORMICS models. The files correspond to the clusters identified by Seurat in the single-cell data from CD8 T-cells in PACA samples downloaded from the GEO website (GSE156728).  see the protocol: scFASTCORMICS: A contextualization algorithm to reconstruct metabolic multi-cell population models from single-cell RNAseq data and github: https://github.com/sysbiolux/scFASTCORMICS For more information, version updates of the scFASTCORMICS.

opencc-by-4.0Nov 2022View details →

single-cell RNAseq data (data set 4) in the publication scFASTCORMICS: A contextualization algorithm to reconstruct metabolic multi-cell population models from single-cell RNAseq data

The present dataset (dataset4) was used as input to build scFASTCORMICS models. The files correspond to the clusters identified by Seurat in the single-cell data from pancreas donor2 downloaded from the GEO website  (GSE114297).    see the protocol: scFASTCORMICS: A contextualization algorithm to reconstruct metabolic multi-cell population models from single-cell RNAseq data and github: https://github.com/sysbiolux/scFASTCORMICS For more information, version updates of the scFASTCORMICS.

opencc-by-4.0Nov 2022View details →

single-cell RNAseq data (data set 3) in the publication scFASTCORMICS: A contextualization algorithm to reconstruct metabolic multi-cell population models from single-cell RNAseq data

The present dataset (dataset3) was used as input to build scFASTCORMICS models. The files correspond to the clusters identified by Seurat in the single-cell data from normal Pancreas donor1 downloaded from the GEO website (GSE114297).  see the protocol: scFASTCORMICS: A contextualization algorithm to reconstruct metabolic multi-cell population models from single-cell RNAseq data and github: https://github.com/sysbiolux/scFASTCORMICS For more information, version updates of the scFASTCORMICS.  <pre>  </pre>

opencc-by-4.0Dec 2021View details →

Research Workflows and Open Science - Data Set

Data set accompanying the report "Research Workflows and Open Science", a systematic study of open science research workflows. The data set summarises the open science characteristics exhibited by the analysed workflows. The first two columns ‘workflow ID’ and ‘URL’ are dedicated to the ID we used to identify each workflow and to the publications related to the workflows respectively. The remaining columns are dedicated to the characteristics exhibited by the analysed workflows and are named The remaining columns are dedicated to the characteristics exhibited by the analysed workflows and are named following the different categories identified: <ul> <li> 'used/open science infrastructure/virtual' <ul> <li> If a workflow relies on a virtual open infrastructure (yes/no) </li> </ul> </li> <li> 'used/open science infrastructure/physical' <ul> <li> If a workflow relies on a physical open infrastructure (yes/no) </li> </ul> </li> <li> 'used/open scientific knowledge/open source software' <ul> <li> If a workflow relies on open source software (yes/no) </li> </ul> </li> <li> 'used/open scientific knowledge/open hardware' <ul> <li> If a workflow relies on open hardware (yes/no) </li> </ul> </li> <li> 'used/open scientific knowledge/open research data' <ul> <li> If a workflow (re)uses open research data (yes/no) </li> </ul> </li> <li> 'used/open scientific knowledge/open educational resources' <ul> <li> If a workflow (re)uses open educational resources (yes/no) </li> </ul> </li> <li> 'produced/open scientific knowledge/(open access) scientific publication' <ul> <li> If a workflow envisages the release of a scientific publication (e.g. papers, reports, data management plans, preprints, study designs) under an open access licence (yes/no) </li> </ul> </li> <li> 'produced/open scientific knowledge/open source software' <ul> <li> If a workflow envisages the release of software (e.g. code, analysis scripts) under an open access licence (yes/no) </li> </ul> </li> <li> 'produced/open scientific knowledge/open research data' <ul> <li> If a workflow envisages the release of open research data (yes/no) </li> </ul> </li> <li> 'produced/open scientific knowledge/open educational resources' <ul> <li> If a workflow envisages the release of open educational resources (yes/no) </li> </ul> </li> <li> 'transparency/transparency type' <ul> <li> degree of transparency of a workflow, defined in terms of which research products are openly shared and when in order to document the research processes (‘built-in’ if transparent, ‘enabled’ if capable of being transparent, ‘opaque’ otherwise) </li> </ul> </li> <li> 'transparency/sharing type' <ul> <li> workflow categories based on when the research products are shared (‘end’ for sharing at the end of the workflow, mixed for sharing part of the research products during the workflow and the rest at the end of it, ‘iterative’ for sharing iteratively during or at the end of the related workflow phase, and ‘user-dependent’, where it is ultimately up to the researcher to decide when to share the research products since the workflow offers different paths to follow while imposing no sharing constraint.) </li> </ul> </li> <li> 'collaboration/collaboration implementation' <ul> <li> If a workflow implements collaborative practices (yes/no) </li> </ul> </li> <li> 'collaboration/open engagement of societal actors/crowdfunding' <ul> <li> If a workflow envisages crowdfunding (yes/no) </li> </ul> </li> <li> 'collaboration/open engagement of societal actors/crowdsourcing' <ul> <li> If a workflow envisages crowdsourcing (yes/no) </li> </ul> </li> <li> 'collaboration/open engagement of societal actors/scientific volunteering' <ul> <li> If a workflow envisages scientific volunteering (yes/no) </li> </ul> </li> <li> 'collaboration/open engagement of societal actors/citizen and participatory science' <ul> <li> If a workflow envisages citizen and participatory science (yes/no) </li> </ul> </li> <li> 'collaboration/open dialogue with other knowledge systems/indigenous peoples' <ul> <li> If a workflow envisages the establishment of a dialogue with indigenous peoples (yes/no) </li> </ul> </li> <li> 'collaboration/open dialogue with other knowledge systems/marginalised scholars' <ul> <li> If a workflow envisages the establishment of a dialogue with marginalised scholars (yes/no) </li> </ul> </li> <li> 'collaboration/open dialogue with other knowledge systems/local communities' <ul> <li> If a workflow envisages the establishment of a dialogue with local communities (yes/no) </li> </ul> </li> <li> 'assessment' <ul> <li> If a workflow implements assessment processes for the evaluation of the research products created (yes/no) </li> </ul> </li> <li> 'automation' <ul> <li> If a workflow includes automated processes (yes/no) </li> </ul> </li> </ul>

Data sets for "Automated cell segmentation for reproducibility in bioimage analysis"

This is the raw data sets used in "Automated cell segmentation for reproducibility in bioimage analysis", published in Synthetic Biology (Oxford Academic)

Two data sets of gravitational field degree-2 order-1 Stokes coefficient

The SLR Stokes coefficient data are provided by the Space Research Institute (IWF) of the Austrian Academy of Sciences based on SLR observations coordinated by ILRS. The GRACE satellite data are from the Center for Space Research RL06 solutions. All    ocean tides, Earth tides and polar tides have been removed.

Data set for EMPIR project MeDDII paper bmt-2022-0039

Data set for EMPIR project MeDDII paper https://doi.org/10.1515/bmt-2022-0039 In-line measurements of the physical and thermodynamic properties of single and multicomponent liquids

Mode structure reconstruction by detected and undetected light: data sets

Data sets related to the multimode optical field reconstructions reported in manuscript <a href="https://arxiv.org/abs/2212.13873v1">arXiv:2212.13873v1</a>

Data set on district heating potentials in EU-27 countries

The provided data set includes the input data for assessment of the district heating potential in EU-27 countries under evolving DH market shares and ambitious heat demand reduction scenario. The data set also includes the output data of the assessment obtained based on the input data from the following sources: <ul> <li>Best-Case scenario from: <ul> <li>"L. Kranzl et al., Renewable space heating under the revised Renewable Energy Directive: ENER/C1/2018 494 : final report. LU: Publications Office of the European Union, 2022 [Online]. Available: https://data.europa.eu/doi/10.2833/525486. [Accessed: Jul. 29, 2022]"</li> </ul> </li> <li>BL2050 scenario from sEEnergies project: <ul> <li>"B. Möller, E. Wiechers, L. Sánchez-García, and U. Persson, ‘Spatial models and spatial analytics results’, Mar. 2022, doi: 10.5281/zenodo.6524594. [Online]. Available: https://zenodo.org/record/6524594. [Accessed: Dec. 14, 2022]"</li> </ul> </li> </ul>

Data Set: Balanced Magnetic Antenna for Partial Discharge Measurements in Gas-Insulated Substations

Data set for the publication named: Balanced Magnetic Antenna for Partial Discharge Measurements in Gas-Insulated Substations. Each header corresponds to the figure and legend.

Data set for "Electrical spectroscopy of defect states and their hybridization in monolayer MoS2"

Data set for "Electrical spectroscopy of defect states and their hybridization in monolayer MoS2" doi:10.1038/s41467-022-35651-1

FhuF, a ferric-siderophore reductase from E. coli K-12 - X-ray diffraction raw data set

This diffraction data set was collected at 100 K to 1.9 Å resolution at ALBA Synchrotron Beamline XALOC on December 5, 2021.

Data set and analytic codes supporting "The effects of land-use change on semi-aquatic bugs (Gerromorpha, Hemiptera) in rainforest streams in Sabah, Malaysia"

This deposit contains data set and analytic codes** (accompanied with a meta data) supporting "The effects of land-use change on semi-aquatic bugs (Gerromorpha, Hemiptera) in rainforest streams in Sabah, Malaysia". We investigated the impacts of land-use change on semi-aquatic bug (Gerromorpha, Hemiptera) communities in Sabah, Malaysia. Semi-aquatic bugs were collected from streams in old-growth forest, logged forest, and oil palm with and without riparian buffer strips. A range of environmental parameters were also collected to represent environmental conditions (associated with land-use change). Environmental data were collected at catchment, riparian, and stream scales, and were used separately for the assessments of their effects on the bugs. We looked at the effects on the abundance, biomass, species richness, and community composition of semi-aquatic bugs. We also assessed the effects on the proportion of juveniles, winged individuals, and female Ptilomera sp. (a morphospecies with clear sexual dimorphism in this study). This research was funded by the Jardine Foundation, the Cambridge Trust, the Natural Environment Research Council (NERC) (studentship 1122589), Proforest, the Varley Gradwell Travelling Fellowship, the Tim Whitmore Fund, the Panton Trust, the Cambridge University Commonwealth Fund, the Hanne and Torkel Weis-Fogh Fund, and the S.T. Lee Fund.   ** For reproducibility of outputs of the Canonical Correspondence Analysis (CCA), do insert the following function in the R Markdown before the line of "anova.cca(CCAEnvInsect, by = 'terms', first = TRUE)": set.seed(42) # About set.seed: <a href="https://stackoverflow.com/questions/13605271/reasons-for-using-the-set-seed-function">r - Reasons for using the set.seed function - Stack Overflow</a>

Mechanical behavior of C45 steel at high temperatures and high strain rates—experimental data set and numerical approach

In this publication we provide experimental data of dynamic compression tests of four microstructural variants of the C45 steel alloy performed at high temperatures and high strain rates. The presented data evidences the presence of Dynamic Strain Aging (DSA) in the material. Moreover, we provided the MATLAB codes of a calibration approach to estimate the material parameters of a plasticity model that accounts for DSA. The file "Mechanical behavior of C45" contains: 1) Folder EXP_DATA contains experimental data of dynamic compression tests of the C45 steel variants in .mat format. The data is organized in cell arrays, and every cell in the arrays contains the data of one experiment. The data of each experiment is arranged as four columns arrays, as: column 1: Plastic strain, column 2: Flow stress, column 3: absolute temperature, column 4: strain rate 2) Matlab code named CALIBRATION.m which executes a calibration approach of a modified Johnson-Cook that accounts for DSA. The form of the model is the following: \(\sigma(\varepsilon ,T,\dot{\varepsilon}) = (A+B\varepsilon^n)\left(1+Cln\left(\frac{\dot{\varepsilon}}{\dot{\varepsilon}^{ref}}\right)\right)\left( 1-\left(\frac{T-T^{ref}}{T^{melt}-T^{ref}}\right)^m\right) +\sigma^{dsa}(\varepsilon ,T,\dot{\varepsilon}) \) with, \(σ^{dsa} (ε,T,\dotε )=\frac{B_1}{ν} \left(\frac{ε^β}{ ε ̇T} exp⁡(-\frac{Q_m}{KT}) \right)^{\frac{2}{3}}\), \(\frac{B_1}{\nu} = \frac{\psi \dot{\varepsilon}}{exp(\eta \frac{T}{\dot{\varepsilon}^\alpha})} \)   The code CALIBRATION contains a data presentation section that can be used to generate plots to compare calibrated models with the experimental data. Further instructions are commented in the code CALIBRATION.m.

openMar 2022View details →

A Twitter Streaming Data Set collected before and after the Onset of the War between Russia and Ukraine in 2022

Social media can be mirrors of human interaction, society, and world events. Their reach enables the global dissemination of information in the shortest possible time and thus the individual participation of people all over the world in global events in almost real-time. However, equally efficient, these platforms can be misused in the context of information warfare in order to manipulate human perception and opinion formation. The outbreak of war between Russia and Ukraine on February 24, 2022, demonstrated this in a striking manner.  Here we publish a dataset of raw tweets collected by using the Twitter Streaming API in the context of the onset of the war which Russia started on Ukraine on February 24, 2022. A distinctive feature of the dataset is that it covers the period from one week before to one week after Russia's invasion of Ukraine. We publish the IDs of all tweets we streamed during that time, the time we rehydrated them using Twitter's API as well as the result of the rehydration. If you use this dataset, please cite our related Paper:  <blockquote> Pohl, Janina Susanne and Seiler, Moritz Vinzent and Assenmacher, Dennis and Grimme, Christian, A Twitter Streaming Dataset collected before and after the Onset of the War between Russia and Ukraine in 2022 (March 25, 2022). Available at SSRN: <a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4066543">https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4066543</a> </blockquote>

DATA SET HELBER MAURICIO SANDOVAL CUMBE

This data set it's test as part of an academic excersice conducted by the Cooperative University.

Data set: 6perfis+3prisioneiros3

Classes profiles and evaluation entries used in the article Multicriteria Classification of Reward Collaboration Proposals.

Informes de casos de estudio finales en hábitats humanos (anexo del libro: La visión sistémica del ambiente construido, 2024). [Data sets for the article: The Habitat Intervention Design Process -Part II]

From the book: Estos informes están escritos en español por los estudiantes que se mencionan en cada informe, quienes son los autores. Cada uno de estos seis documentos contiene casos de estudio y muestra la implementación de la metodología del 'Proceso de Diseño de Intervención del Hábitat' (IDP) en cada uno de los 6 casos mencionados en el libro (Capítulo 2.5 y Capítulo 3.2) (Libro: La visión sistémica del ambiente construido).  Estos hacen parte de la Fase 2 Fundamentos Prácticos del Modelo del proyecto de investigación "Modelo Pedagógico para la Enseñanza del Diseño de Intervención del Hábitat en Programas de Educación Superior".  From the article: These reports are Spanish-written. Each of these six documents contains one of the case studies and shows the implementation of the 'Habitat Intervention Design Process' (IDP) methodology in each of the 6 case studies mentioned in the article "The Habitat Intervention Design Process -Part II: A Transdisciplinary Model in the Pedagogy of the Design of the Built Environment" published in The International Journal of Design Education in its 2023 version. Find it here: <a href="https://doi.org/10.18848/2325-128X/CGP/v17i02/155-195">https://doi.org/10.18848/2325-128X/CGP/v17i02/155-195 </a>

Alaska Range Suture Zone Compiled Geochronology data set

Geochronology data set for the manuscript, Upper-plate Controls on Slab Geometry, Melt Ponding, and Structurally Compelled Localized Alaska Range Suture Zone Arc Magmatism Since ca. 100 Ma, submitted to Tectonics and seismicity of Alaska and Western Canada: Earthscope and beyond."

Heads-on skyrmion collisions data set

These are datafiles and code associated with the manuscript “Heads-on skyrmion collision”. The data files stored here consists on magnetic force microscopy (MFM) data (i.e. images) of a skyrmion hosting thin film. It is divided on folders corresponding to different days of measurement, and also divided by the type of MFM probe used. The format of the files is the proprietary format from NT-MDT. “Summary of collisions_V8” is a PowerPoint summarizing the data analysis carried out identifying the position of each skyrmion in each of the MFM data files. It should be used to understand the structure of the data. “main.m” Is the Matlab code used to help localizing the position of the skyrmions in the MFM images. “collisions.opju” is the OriginLab file containing the summary of the skyrmion positions. For questions about the dataset or the associated manuscript, please feel free to emai Héctor Corte-León at corte@nanosurf.com