cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24211332.v1
title: Mykrobe Panel TB version 20230928

description: This is TB panel data version 20230928, to be used by the command line tool mykrobe.
DOI: 10.6084/m9.figshare.22691689
title: FACETS copy number calling output (hg38 reference genome)

description: FACETS somatic copy number calling hisens (high sensitivity; cval=25) cncf .rds output from facets for each sample is stored in the .RData object Txt file contains per sample, protein coding gene level copy number calls <br> Method: <em><strong>Allele specific DNA copy number inference using FACETS</strong></em> Total and allele-specific copy number states were inferred for all tumour samples using FACETS Suite (v 2.0.8) and FACETS (v.0.6.1) (https://github.com/mskcc/facets-suite). Tumour and matched normal bam files were pre-processed using snp-pileup (v.0.6.1) with parameters –q20 –Q20 –P100 –r25,0. A two pass implementation of FACETS using snp pileup files as input, was utilised were a low sensitivity run (cval =150) first infers the purity and log-ratio related to diploidy, as per methodology. <br> A second higher sensitivity run (cval=25) to detect focal events, determines the copy number state of each gene. <br> Classification of copy number (<em>Variant_Classification</em> Column in .txt file) were as follow: <br> Amplification (AMP) total copy number (TCN) &gt;= 9; Gain 3 &gt;= TCN &lt;= 8; Deletion (DEL) TCN=0; Loss TCN=1.
DOI: 10.5281/zenodo.8367734
title: Dataset for triaxial monotonic and cyclic laboratory tests on sand HN31 with fines performed at Université Gustave Eiffel/GERS/SRO

description: Data from monotonic and triaxial tests obtained during the thesis : Gobbi, S. Caractérisation de paramètres mécaniques d'un sol saturé à partir d'essais de laboratoire et calibration de lois de comportement sous charge dynamique par modélisation numérique, PhD thesis, Université Gustave Eiffel, 2020 https://theses.hal.science/tel-03268600
DOI: 10.5281/zenodo.8367733
title: Dataset for triaxial monotonic and cyclic laboratory tests on sand HN31 with fines performed at Université Gustave Eiffel/GERS/SRO

description: Data from monotonic and triaxial tests obtained during the thesis : Gobbi, S. Caractérisation de paramètres mécaniques d'un sol saturé à partir d'essais de laboratoire et calibration de lois de comportement sous charge dynamique par modélisation numérique, PhD thesis, Université Gustave Eiffel, 2020 https://theses.hal.science/tel-03268600
DOI: 10.5281/zenodo.8382367
title: Dataset for triaxial monotonic and cyclic laboratory tests on sand HN31 with fines performed at Ecole des Ponts ParisTech/Navier laboratory

description: Data from monotonic and triaxial tests obtained during the thesis : ZHU, Zhehao. Influence of fine particles on the liquefaction properties of a reference sand. Application to the seismic response of a sand column on a vibrating table, PhD thesis, Ecole des Ponts Paristech, 2022 https://pastel.hal.science/tel-03968096
DOI: 10.5281/zenodo.8385903
title: Test

description: Test change of access
DOI: 10.5281/zenodo.8385902
title: Test

description: Test change of access
DOI: 10.5281/zenodo.8382366
title: Dataset for triaxial monotonic and cyclic laboratory tests on sand HN31 with fines performed at Ecole des Ponts ParisTech/Navier laboratory

description: Data from monotonic and triaxial tests obtained during the thesis : ZHU, Zhehao. Influence of fine particles on the liquefaction properties of a reference sand. Application to the seismic response of a sand column on a vibrating table, PhD thesis, Ecole des Ponts Paristech, 2022 https://pastel.hal.science/tel-03968096
DOI: 10.5281/zenodo.7950734
title: Supplementary files for the manuscript "Elevation-dependent periglacial and paraglacial processes modulate tectonically-controlled erosion of the Western Southern Alps, New Zealand", submitted to JGR Earth Surface

description: This repository contains supplementary files to the manuscript ""Elevation-dependent periglacial and paraglacial processes modulate tectonically-controlled erosion of the Western Southern Alps, New Zealand" submitted to JGR: Earth Surface. It contains: - The Matlab script used to find the optimal distance-from-fault and elevation windows ("elevation_distance_window_optimization"), and 3 text files used for input in this script ("data_erates" contains the erosion rates, "data_elev" the number of pixels in each elevation bin, "data_distAF" the number of pixels in each distance-from-fault bin). - An Excel spreadsheet with the same information that the input text files contain, but specifiying the elevation or distance from fault bin values ("elevation and distance from fault with bins") - A shapefile of catchment outlines ("WSAcatch") for the catchments sampled for CRN denudation rates - Raw CRN data ("Table 2_new_CRN_data") - Excel spreadsheet with the compilation of themochronometric cooling ages used in the age2exhume code (van der Beek & Schildgen, 2023; https://doi.org/10.5281/zenodo.7341603). CRN data and catchment outlines will also be uploaded to the OCTOPUS database (https://octopusdata.org/) after manuscript acceptance.
DOI: 10.5281/zenodo.7950735
title: Supplementary files for the manuscript "Elevation-dependent periglacial and paraglacial processes modulate tectonically-controlled erosion of the Western Southern Alps, New Zealand", submitted to JGR Earth Surface

description: This repository contains supplementary files to the manuscript ""Elevation-dependent periglacial and paraglacial processes modulate tectonically-controlled erosion of the Western Southern Alps, New Zealand" submitted to JGR: Earth Surface. It contains: - The Matlab script used to find the optimal distance-from-fault and elevation windows, and 3 text files used for input in this script. - A shapefile of catchment outlines ("WSAcatch") for the catchments sampled for CRN denudation rates - Raw CRN data ("Table 2_new_CRN_data") - Excel spreadsheet with the compilation of themochronometric cooling ages used in the age2exhume code (van der Beek & Schildgen, 2023; https://doi.org/10.5281/zenodo.7341603). CRN data and catchment outlines will also be uploaded to the OCTOPUS database (https://octopusdata.org/) after manuscript acceptance.
DOI: 10.5281/zenodo.8385852
title: Supplementary Data to "Designing with Digital Waste in Mind: A Typological Analysis to support Sustainable Interaction Design of Digital Services"

description: Supplementary Data to "Designing with Digital Waste in Mind: A Typological Analysis to support Sustainable Interaction Design of Digital Services"
DOI: 10.5281/zenodo.8385851
title: Supplementary Data to "Designing with Digital Waste in Mind: A Typological Analysis to support Sustainable Interaction Design of Digital Services"

description: Supplementary Data to "Designing with Digital Waste in Mind: A Typological Analysis to support Sustainable Interaction Design of Digital Services"
DOI: 10.5281/zenodo.8382998
title: Data Set for Enhanced Performance Prediction of ATL Model Transformations

description: Model transformation languages are domain-specific languages, which are designed to comfortably define transformations. With the increasing use of transformations in various domains, the complexity and size of input models are also increasing. However, developers often lack suitable models for performance testing. We have therefore conducted experiments in which we predict the performance of model transformations based on characteristics of input models using machine learning approaches. In particular, we focused on how to predict the performance of transformations that also transform attributes whose values can have arbitrary size. This dataset contains our raw and processed input data, the scripts necessary to repeat our experiments, and the results we obtained. Our input data consists of the time measurements for six different transformations defined in the Atlas Transformation Language (ATL), as well as the collected characteristics of the real-world input models we used. In this data set, we provide the script that implements our experiments. We predict the execution time of ATL transformations using the machine learning approaches linear regression, random forests and support vector regression using a radial basis function kernel. We also investigate different sets of characteristics of input models as input for the machine learning approaches. These are described in detail in the provided documentation.pdf. The results of the experiments are provided as raw data in individual cvs files. Furthermore, we provide our Eclipse plugin, which collects the characteristics for a set of given models. A detailed documentation is available in documentaion.pdf.
description: This work was partially funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - 358569332. The authors acknowledge support by the state of Baden-Württemberg through bwHPC.
DOI: 10.5281/zenodo.8382999
title: Data Set for Enhanced Performance Prediction of ATL Model Transformations

description: Model transformation languages are domain-specific languages, which are designed to comfortably define transformations. With the increasing use of transformations in various domains, the complexity and size of input models are also increasing. However, developers often lack suitable models for performance testing. We have therefore conducted experiments in which we predict the performance of model transformations based on characteristics of input models using machine learning approaches. In particular, we focused on how to predict the performance of transformations that also transform attributes whose values can have arbitrary size. This dataset contains our raw and processed input data, the scripts necessary to repeat our experiments, and the results we obtained. Our input data consists of the time measurements for six different transformations defined in the Atlas Transformation Language (ATL), as well as the collected characteristics of the real-world input models we used. In this data set, we provide the script that implements our experiments. We predict the execution time of ATL transformations using the machine learning approaches linear regression, random forests and support vector regression using a radial basis function kernel. We also investigate different sets of characteristics of input models as input for the machine learning approaches. These are described in detail in the provided documentation.pdf. The results of the experiments are provided as raw data in individual cvs files. Furthermore, we provide our Eclipse plugin, which collects the characteristics for a set of given models. A detailed documentation is available in documentaion.pdf.
description: This work was partially funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - 358569332. The authors acknowledge support by the state of Baden-Württemberg through bwHPC.
DOI: 10.5281/zenodo.8385957
title: Data Set for Enhanced Performance Prediction of ATL Model Transformations

description: Model transformation languages are domain-specific languages, which are designed to comfortably define transformations. With the increasing use of transformations in various domains, the complexity and size of input models are also increasing. However, developers often lack suitable models for performance testing. We have therefore conducted experiments in which we predict the performance of model transformations based on characteristics of input models using machine learning approaches. In particular, we focused on how to predict the performance of transformations that also transform attributes whose values can have arbitrary size. This dataset contains our raw and processed input data, the scripts necessary to repeat our experiments, and the results we obtained. Our input data consists of the time measurements for six different transformations defined in the Atlas Transformation Language (ATL), as well as the collected characteristics of the real-world input models we used. In this data set, we provide the script that implements our experiments. We predict the execution time of ATL transformations using the machine learning approaches linear regression, random forests and support vector regression using a radial basis function kernel. We also investigate different sets of characteristics of input models as input for the machine learning approaches. These are described in detail in the provided documentation.pdf. The results of the experiments are provided as raw data in individual cvs files. Furthermore, we provide our Eclipse plugin, which collects the characteristics for a set of given models. A detailed documentation is available in documentaion.pdf.
description: This work was partially funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - 358569332. The authors acknowledge support by the state of Baden-Württemberg through bwHPC.
DOI: 10.21942/uva.21701162
title: Dataset and Syntax

description: Dataset and Syntax used to validate NegotiAct
DOI: 10.21942/uva.21701162.v1
title: Dataset and Syntax

description: Dataset and Syntax used to validate NegotiAct
DOI: 10.21942/uva.13676368
title: OSF files

description: Attached find respective files to follow the development of NegotiAct
DOI: 10.21942/uva.13676368.v1
title: OSF files

description: Attached find respective files to follow the development of NegotiAct
DOI: 10.5281/zenodo.8385932
title: Dataset of the publication : "Misfit layer compounds as ultra-tunable field effect transistors: from charge transfer control to emergent superconductivity"

description: Dataset of the publication : "Misfit layer compounds as ultra-tunable field effect transistors: from charge transfer control to emergent superconductivity"
DOI: 10.5281/zenodo.8385931
title: Dataset of the publication : "Misfit layer compounds as ultra-tunable field effect transistors: from charge transfer control to emergent superconductivity"

description: Dataset of the publication : "Misfit layer compounds as ultra-tunable field effect transistors: from charge transfer control to emergent superconductivity"
DOI: 10.6084/m9.figshare.24211407.v1
title: <b>Magneto-Chiral Sensors for Hydrogen Leakage Detection Using Heavy Metal Complex Coatings on Fe Co/Si system: A Potential New Approach</b>

description: The magnetic properties of Wilkinson Catalyst/Fe-Co/Si as a function of Wilkinson catalyst concentration in solution were first time measured using polar magneto-optical Kerr effect (PMOKE) magnetometry. PMOKE magnetic hysteresis amplitude changes significantly compared to uncoated Fe-Co/Si system. The results shows that the magneto-optical properties are significantly altered which indicates the presence of the interfacial Dzyaloshinskii–Moriya interaction.
DOI: 10.5258/soton/d2726
title: Dataset in support of the publication 'Image-based ultrasonic cell shaking test data'

description: Dataset in support of the publication "Image-based ultrasonic cell shaking test data" in PLoS ONE 18(9): e0285906 The data includes: -Cell and Scratch images that make up the videos shown in supplementary information and data from supplementary video 1 used for Fig. 17 and Fig. 18 -Cross Scratch images from 3 cross scratch samples imaged with and without phase contrast as seen in Fig. 15 and used for Fig. 16 -Device Viability data that has images of cells stained with Calcein as seen in Fig. 12 and data sheet with raw values from the PrestoBlue cell viability test - analysed data shown in Fig. 11 - Grid images from three grid samples with and without phase contrast used in Fig. 5 and analysed data shown in Fig. 6, Fig. 7 and Fig. 8 -PMMA calibration of raw data from PMMA calibration and image data for strain analysis and IR data samples, the images came from different sonotrode powers - 10%, 20%, 30%, 40% and 50% used in Fig. 13 and Fig. 14 This work is funded by the Engineering and Physical Sciences Research Council and part of the Ultrasurge Project under Grant EP/R045291/1.
DOI: 10.6084/m9.figshare.24211260
title: Guppy_genes_and_microsats_on_unplaced_scaffolds_updated3rdNov2020.xlsx

description: Microsatellite sequences found in the guppy female and male genome assemblies using the PERF software v0.4.5 (Avvaru <i>et al.</i>, 2018). Excel files
DOI: 10.34808/agc2-7t26
title: Determination of cytotoxic activity of new bisacridines IKE18, IKE19, IKE21 and IE10 against human kidney HEK-293 (ATCC® CRL-1573™) and liver cells HEPG2 (ATCC® HB-8065™)

description: The datasets contain the results of determining  in vitro cytotoxic activity of compounds using human cell lines assessed by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay, a method that evaluates cell viability by measuring cellular oxidoreductase activity. Initially, cells were seeded in 96-well culture plates and allowed to adhere overnight. The investigated compounds were added to the wells at various concentrations. Following a 72-hour incubation period, 20 µL of a 4 mg/mL MTT solution in PBS was added to each well, and the plates were further incubated for 3 hours under standard culture conditions. Subsequently, the culture medium was aspirated, and the formazan crystals were dissolved in DMSO. The absorbance was measured at 570 nm using a microplate reader (Asys UVM 340 Microplate Reader, Biochrom, Cambridge, UK).
DOI: 10.34740/kaggle/dsv/6561525
title: Lottery Powerball Winning Numbers
DOI: 10.6084/m9.figshare.24211260.v1
title: Guppy_genes_and_microsats_on_unplaced_scaffolds_updated3rdNov2020.xlsx

description: Microsatellite sequences found in the guppy female and male genome assemblies using the PERF software v0.4.5 (Avvaru <i>et al.</i>, 2018). Excel files
DOI: 10.21942/uva.22189312.v1
title: Method files

description: The coding manual, raw coding data as well as dataset and Syntax are attached
DOI: 10.21942/uva.22189360
title: Method files

description: Please find attached the raw coding data, the datasets and alayses codes for each analysis (Excel for sequential analysis and SPSS Syntax for correlations).
DOI: 10.21942/uva.22189360.v1
title: Method files

description: Please find attached the raw coding data, the datasets and alayses codes for each analysis (Excel for sequential analysis and SPSS Syntax for correlations).
DOI: 10.5281/zenodo.8363502
title: Question Answering auf dem Lehrbuch "Health Information Systems" mit Hilfe von unüberwachtem Training eines Pretrained Transformers

description: Masterthesis, verwendete Datensätze, Skripte und Ergebnisse des praktischen Teils
DOI: 10.5281/zenodo.8364419
title: Question Answering auf dem Lehrbuch "Health Information Systems" mit Hilfe von unüberwachtem Training eines Pretrained Transformers

description: Masterthesis, verwendete Datensätze, Skripte und Ergebnisse des praktischen Teils
DOI: 10.5281/zenodo.8376978
title: Question Answering auf dem Lehrbuch "Health Information Systems" mit Hilfe von unüberwachtem Training eines Pretrained Transformers

description: Masterthesis, verwendete Datensätze, Skripte und Ergebnisse des praktischen Teils
DOI: 10.5281/zenodo.8376998
title: Question Answering auf dem Lehrbuch "Health Information Systems" mit Hilfe von unüberwachtem Training eines Pretrained Transformers

description: Masterthesis, verwendete Datensätze, Skripte und Ergebnisse des praktischen Teils
DOI: 10.5281/zenodo.8363501
title: Question Answering auf dem Lehrbuch "Health Information Systems" mit Hilfe von unüberwachtem Training eines Pretrained Transformers

description: Masterthesis, verwendete Datensätze, Skripte und Ergebnisse des praktischen Teils
DOI: 10.5281/zenodo.8381029
title: Question Answering auf dem Lehrbuch "Health Information Systems" mit Hilfe von unüberwachtem Training eines Pretrained Transformers

description: Masterthesis, verwendete Datensätze, Skripte und Ergebnisse des praktischen Teils
DOI: 10.5281/zenodo.8386032
title: Question Answering auf dem Lehrbuch "Health Information Systems" mit Hilfe von unüberwachtem Training eines Pretrained Transformers

description: Masterthesis, verwendete Datensätze, Skripte und Ergebnisse des praktischen Teils
DOI: 10.5281/zenodo.7980858
title: Resolving the Interpretation of Magnetic Coercivity Components from Isothermal Remanence Curves Using Unmixing of Non-linear Preisach Maps: Pedogenesis and Provenance in Loess-Paleosol Sequences

description: The data set includes: 1. Non-linear Preisach measurements for Lunca and Costinești loess-paleosol sections 2. IRM coercivity distributions from Lunca and Costinesti interpolated on a common sequence of fields 3. Lunca granulometry data 4. Median Grain size for Costineși section. 5. Magnetic susceptibility data measured at Lunca section (Constantin et al., 2015)
DOI: 10.21942/uva.22189408
title: Method files

description: Attached the dataset and Syntax used for analysis
DOI: 10.21942/uva.22189408.v1
title: Method files

description: Attached the dataset and Syntax used for analysis
DOI: 10.5281/zenodo.8385969
title: Material of the experiment "More is Less" from the MapMuxing project

description: This dataset contains the material of a user survey presented in the paper " More is Less - Adding Zoom Levels in Multi-Scale Maps to Reduce the Need for Zooming Interactions". There are several files in the dataset: the Tiles.zip contained all the tiles of the 5 multi-scale maps used in the experiments. The route.shp shapefiles contains the routes the participants were asked to follow during each trial instructions.doc is the reproduction of the instructions given to each participant prior to the survey. The document is in French. FormulaireConsentement.docx is the consent form the participant had to sign before the survey. It is also in French. script.r contains the R scripts run to analyse the results. qualitative_results.xlsx contains the qualitative information collected during the survey. Most of the information stored in the file is in French. quantitative_results.xlsx contains the quantitative results (completion time, nb of errors, etc.) for each participant and each trial.
DOI: 10.5281/zenodo.8385968
title: Material of the experiment "More is Less" from the MapMuxing project

description: This dataset contains the material of a user survey presented in the paper " More is Less - Adding Zoom Levels in Multi-Scale Maps to Reduce the Need for Zooming Interactions". There are several files in the dataset: the Tiles.zip contained all the tiles of the 5 multi-scale maps used in the experiments. The route.shp shapefiles contains the routes the participants were asked to follow during each trial instructions.doc is the reproduction of the instructions given to each participant prior to the survey. The document is in French. FormulaireConsentement.docx is the consent form the participant had to sign before the survey. It is also in French. script.r contains the R scripts run to analyse the results. qualitative_results.xlsx contains the qualitative information collected during the survey. Most of the information stored in the file is in French. quantitative_results.xlsx contains the quantitative results (completion time, nb of errors, etc.) for each participant and each trial.
DOI: 10.11588/data/avff2e/ltt9ra
title: paper_sbi.tar.gz

description: :unav
DOI: 10.11588/data/avff2e/qrl0mk
title: README.md

description: :unav
DOI: 10.11588/data/nhivdo/hyfqrk
title: README_concentrationHD_GRAMM_GRAL.txt

description: :unav