cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3761562.v1726
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.3761562.v1732
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.3761562.v1731
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.3761562.v1737
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.13643900.v1
title: 1/f

description: testtest
DOI: 10.6084/m9.figshare.3761562.v1736
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.3761562.v1741
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.3761562.v1740
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.5281/zenodo.4469326
title: Dataset for Black Tea Fermentation Detection based on Image Processing and Machine Learning Techniques

description: This is a dataset on black tea fermentation. The dataset contains black tea fermentation conditions and images. The fermentation conditions captured are: temperature, humidty and time. The images belong to black tea as they underwent the fermentation process. The dataset was collected in Sisibo tea factory, Kenya in July and August 2020.
DOI: 10.6084/m9.figshare.3761562.v1745
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.5281/zenodo.4469325
title: Dataset for Black Tea Fermentation Detection based on Image Processing and Machine Learning Techniques

description: This is a dataset on black tea fermentation. The dataset contains black tea fermentation conditions and images. The fermentation conditions captured are: temperature, humidty and time. The images belong to black tea as they underwent the fermentation process. The dataset was collected in Sisibo tea factory, Kenya in July and August 2020.
DOI: 10.6084/m9.figshare.3761562.v1744
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6073/pasta/6977b23c6f968fc9a8c48d916d988e21
title: MCSE Model input data at the Kellogg Biological Station, Hickory Corners, MI (1988 to 2020)

description: Dataset AbstractConsolidated dataset for the ARDEN crop modeling effort. This pulls together several useful data tables into one dataset. Further information can be found at https://agmip.github.io/ARDN/original data source http://lter.kbs.msu.edu/datasets/195
DOI: 10.6084/m9.figshare.13643900
title: 1/f

description: testtest
DOI: 10.6084/m9.figshare.13643900.v3
title: 1/f

description: testtest
DOI: 10.6084/m9.figshare.13643900.v2
title: 1/f

description: testtest
DOI: 10.5281/zenodo.4469439
title: Datasets supporting "Enhanced climate response to ozone depletion from ozone-circulation coupling"

description: This data set is prepared to support the manuscript entitled "Enhanced climate response to ozone depletion from ozone-circulation coupling" by Lin end Ming, which is under review for Journal of Geophysical Research. The data set includes the following contents: 1. Zonal mean monthly mean fields for selected variables from the simulations shown in the manuscript. 2. The coefficients used for O3Tracer simulation described in the manuscript.
DOI: 10.5281/zenodo.4469438
title: Datasets supporting "Enhanced climate response to ozone depletion from ozone-circulation coupling"

description: This data set is prepared to support the manuscript entitled "Enhanced climate response to ozone depletion from ozone-circulation coupling" by Lin end Ming, which is under review for Journal of Geophysical Research. The data set includes the following contents: 1. Zonal mean monthly mean fields for selected variables from the simulations shown in the manuscript. 2. The coefficients used for O3Tracer simulation described in the manuscript.
DOI: 10.34740/kaggle/dsv/1881764
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.6084/m9.figshare.13186814
title: Predicting radiation damage in beryllium

description: Displacement damage in beryllium was predicted as a function of temperature and energy using molecular dynamics simulations. A key aim of this study was to determine if average results from large displacement cascades correspond to values predicted by the Kinchin–Pease (K–P) model. The number of residual defects remaining after 1 ps increased linearly with primary knock-on atom (PKA) energy from 0.5 keV to 2.5 keV, while the extent of residual damage was largely temperature independent from 300 K to 1100 K. The same simulation model was used to predict the directionally averaged probability of displacement as a function of displacement energy, P(EPKA), and thereby the threshold displacement energy at which the probability for displacement is 100%, Ed1.0=105 eV. There is an excellent correspondence between the K–P prediction using Ed=Ed1.0 and the number of residual defects remaining after the initial recovery phase. Also, by utilising P(EPKA), a modification to the K–P model is proposed that gives rise to an average model prediction when EPKA&lt;2Ed1.0.
DOI: 10.6084/m9.figshare.13186814.v1
title: Predicting radiation damage in beryllium

description: Displacement damage in beryllium was predicted as a function of temperature and energy using molecular dynamics simulations. A key aim of this study was to determine if average results from large displacement cascades correspond to values predicted by the Kinchin–Pease (K–P) model. The number of residual defects remaining after 1 ps increased linearly with primary knock-on atom (PKA) energy from 0.5 keV to 2.5 keV, while the extent of residual damage was largely temperature independent from 300 K to 1100 K. The same simulation model was used to predict the directionally averaged probability of displacement as a function of displacement energy, P(EPKA), and thereby the threshold displacement energy at which the probability for displacement is 100%, Ed1.0=105 eV. There is an excellent correspondence between the K–P prediction using Ed=Ed1.0 and the number of residual defects remaining after the initial recovery phase. Also, by utilising P(EPKA), a modification to the K–P model is proposed that gives rise to an average model prediction when EPKA&lt;2Ed1.0.
DOI: 10.6073/pasta/cc9cb473c0b682dc07e773b112a63f06
title: Fisher Meteorological Station at Harvard Forest since 2001

description: The Fisher Meteorological Station became operational on 11 Feb 2001. The Station is located in an open field 200 m north of the Shaler Station, in a site chosen to minimize the angle of surrounding trees above the horizon (currently 15-25 degrees from the station at breast height). The Fisher Station records air temperature, relative humidity, dew point, precipitation (water equivalent of snow), global solar radiation, PAR radiation, net radiation, barometric pressure, scalar wind speed, vector wind speed, peak gust speed (1-second), vector wind direction, standard deviation of wind direction (wind measurements at 10 m height), and soil temperature (10 cm depth). Instruments are scanned once per second, and 15-minute (hourly before 2005) and daily values are calculated and stored by a datalogger. Data for the current month are available online, updated every 15 minutes, with out-of-range values replaced by NA but values not otherwise checked. Earlier data are checked and archived with missing, questionable, and estimated values flagged, following methods of the LTER ClimbDB project. A log of events affecting station measurements (e.g., instrument repair and recalibration, ice storms, lightning) and selected monthly and annual values are also posted. For current data, please see: https://harvardforest.fas.harvard.edu/meteorological-hydrological-stations. For a complete set of archived data, please see: https://harvardforest.fas.harvard.edu/exist/apps/datasets/showData.html?id=HF001.
DOI: 10.15131/shef.data.9934055.v2
title: Data for paper "MRI-based anatomical characterisation of lower-limb muscles in older women"

description: This Figshare contains:1. Additional material.docx, including supplementary information associated with the paper "MRI-based anatomical characterisation of lower-limb muscles in older women";2. Segmentations for the eleven subjects in the study labelled as MC17, MC18, MC19, MC20, MC22, MC24, MC25, MC26, MC27, MC28, MC29 (corresponding to Subject 1 to 11, respectively, see additional material for details):a. bone and soft tissue (skin) segmentations as stl files;b. muscle segmentations as stl files;3. Muscle centrelines as vtk files.
DOI: 10.15131/shef.data.12752705
title: Data in support of "On the continuous and discontinuous precipitation of the L12 phase in Cu-Ni-Al alloys"

description: Data in support of "On the continuous and discontinuous precipitation of the L12 phase in Cu-Ni-Al alloys" submitted for publication in <i>Materialia. </i>The data includes: - Scanning electron microscopy images and the related particle distribution analyses. These can be read using conventional image processing software. The particle distribution analyses are shown in a spreadsheet and as a .pxp file that can be read using the Wavemetrics Igor Pro software. Optimum particle calculations are also included in the folder labelled SEM - Particle Analysis — these are provided in a spreadsheet format and include the thermodynamic modelling predictions for the APB energies (the spreadsheet includes an explanation of the method used). - Differential Scanning Calorimetry raw data and associated analysis. The data can be read in traditional graphing software and additional files are also given in a .pxp format compatible with Wavemetrics Igor Pro. - Electron Backscattered Diffraction data in the form of maps that can be read using conventional image processing software and .ctf files that can be used in Channel 5 EBSD data analysis software or MTex using Matlab. - Hardness data spreadsheet read in conventional spreadsheet software. - SEM/EDS maps of compositions and compositional analysis of the homogenised sample compositions. These can be read by conventional image processing and spreadsheet software. - XRD raw data. Raw data can be opened in conventional spreadsheet managers.
DOI: 10.15131/shef.data.12752705.v1
title: Data in support of "On the continuous and discontinuous precipitation of the L12 phase in Cu-Ni-Al alloys"

description: Data in support of "On the continuous and discontinuous precipitation of the L12 phase in Cu-Ni-Al alloys" submitted for publication in <i>Materialia. </i>The data includes: - Scanning electron microscopy images and the related particle distribution analyses. These can be read using conventional image processing software. The particle distribution analyses are shown in a spreadsheet and as a .pxp file that can be read using the Wavemetrics Igor Pro software. Optimum particle calculations are also included in the folder labelled SEM - Particle Analysis — these are provided in a spreadsheet format and include the thermodynamic modelling predictions for the APB energies (the spreadsheet includes an explanation of the method used). - Differential Scanning Calorimetry raw data and associated analysis. The data can be read in traditional graphing software and additional files are also given in a .pxp format compatible with Wavemetrics Igor Pro. - Electron Backscattered Diffraction data in the form of maps that can be read using conventional image processing software and .ctf files that can be used in Channel 5 EBSD data analysis software or MTex using Matlab. - Hardness data spreadsheet read in conventional spreadsheet software. - SEM/EDS maps of compositions and compositional analysis of the homogenised sample compositions. These can be read by conventional image processing and spreadsheet software. - XRD raw data. Raw data can be opened in conventional spreadsheet managers.
DOI: 10.5281/zenodo.4456034
title: 80 Initial Data-set Studies SMS Strategy CG

description: Initial Data set of 80 primary studies SMS: "Empirical Strategies in Software Engineering Research: A Literature Survey", by Cathy Guevara-Vega<br>
DOI: 10.5281/zenodo.4456033
title: 80 Initial Data-set Studies SMS Strategy CG

description: Initial Data set of 80 primary studies SMS: "Empirical Strategies in Software Engineering Research: A Literature Survey", by Cathy Guevara-Vega<br>
DOI: 10.6084/m9.figshare.13515098.v1
title: McMahon AJP Lung 2021 Supplemental Material.pdf

description: Online Supplemental Material containingSupplemental Table S1 and Supplemental Figures S1-S3 for research article: “PAR-2–activated secretion by airway gland serous cells: role for CFTR and inhibition by Pseudomonas aeruginosa” by D. B. McMahon, et. al.<br>
DOI: 10.5281/zenodo.4468745
title: Dataset: Aberration characterisation of X-ray optics using multi-modal ptychography and a partially coherent source

description: These are the ptychography datasets used for the publication "Aberration characterisation of X-ray optics using multi-modal ptychography and a partially coherent source". File are in the HDF format and contain a number of datasets detailed below. If you require more information, please contact the corresponding author of the publication, at thomas.moxham@eng.ox.ac.uk Raw files contain: diffraction intensities, scanning positions in millimeters Recon files contain: fourier error, complex probe function, complex object function, recon pixel size, energy raw_siemens_star_be_lens.hdf, raw_fourier_ring_correlation.hdf, merlin_medipix_detector_mask.hdf, recon_multi-modal_probe.hdf, recon_multi-modal_object.hdf, recon_fourier_ring_correlation.hdf
DOI: 10.5281/zenodo.4468744
title: Dataset: Aberration characterisation of X-ray optics using multi-modal ptychography and a partially coherent source

description: These are the ptychography datasets used for the publication "Aberration characterisation of X-ray optics using multi-modal ptychography and a partially coherent source". File are in the HDF format and contain a number of datasets detailed below. If you require more information, please contact the corresponding author of the publication, at thomas.moxham@eng.ox.ac.uk Raw files contain: diffraction intensities, scanning positions in millimeters Recon files contain: fourier error, complex probe function, complex object function, recon pixel size, energy raw_siemens_star_be_lens.hdf, raw_fourier_ring_correlation.hdf, merlin_medipix_detector_mask.hdf, recon_multi-modal_probe.hdf, recon_multi-modal_object.hdf, recon_fourier_ring_correlation.hdf
DOI: 10.5281/zenodo.4469607
title: GraphEM-infilled HadCRUT4.6.0.0 January 1850 - December 2020

description: Here are the GraphEM-infilled HadCRUT4.6 surface temperature anomaly data. This interpolated dataset presents a spatially-complete, global surface temperature product dating back to 1850 AD. The procedure used to generate these data is described in Climate field completion via Markov random fields - Application to the HadCRUT4.6 temperature dataset (Vaccaro et al., 2021). Included are the GraphEM-infilled HadCRUT4.6 median on a 5° x 5° grid as well as monthly and annual global and hemispheric means. The raw HadCRUT4.6.0.0 median data has been updated to span through December 2020.
DOI: 10.5281/zenodo.4469606
title: GraphEM-infilled HadCRUT4.6.0.0 January 1850 - December 2020

description: Here are the GraphEM-infilled HadCRUT4.6 surface temperature anomaly data. This interpolated dataset presents a spatially-complete, global surface temperature product dating back to 1850 AD. The procedure used to generate these data is described in Climate field completion via Markov random fields - Application to the HadCRUT4.6 temperature dataset (Vaccaro et al., 2021). Included are the GraphEM-infilled HadCRUT4.6 median on a 5° x 5° grid as well as monthly and annual global and hemispheric means. The raw HadCRUT4.6.0.0 median data has been updated to span through December 2020.
DOI: 10.5281/zenodo.4469533
title: Datasets for S. Bauer et al., Meas. Sci. Technol. (2020), "A Four-Terminal-Pair Josephson Impedance Bridge Combined with a Graphene Quantized Hall Resistance"

description: Compilation of the datasets used to generate the figures in the following journal publication; "A Four-Terminal-Pair Josephson Impedance Bridge Combined with a Graphene Quantized Hall Resistance" by Bauer, S., Behr, R., Elmquist, R.E., Götz, M., Herick, J., Kieler, O., Kruskopf, M., Lee, J., Palafox, L., Pimsut, Y., and Schurr, J, Meas. Sci. Technol. (2020), DOI: 10.1088/1361-6501/abcff3
description: This work was supported in part by the Joint Research Project GIQS (18SIB07). This project received funding from the European Metrology programme for Innovation and Research (EMPIR) co-financed by the Participating States and from the European Unions' Horizon 2020 research and innovation programme. Funder ID: 10.13039/100014132, Grant no: 18SIB07 GIQS.
DOI: 10.5281/zenodo.4469532
title: Datasets for S. Bauer et al., Meas. Sci. Technol. (2020), "A Four-Terminal-Pair Josephson Impedance Bridge Combined with a Graphene Quantized Hall Resistance"

description: Compilation of the datasets used to generate the figures in the following journal publication; "A Four-Terminal-Pair Josephson Impedance Bridge Combined with a Graphene Quantized Hall Resistance" by Bauer, S., Behr, R., Elmquist, R.E., Götz, M., Herick, J., Kieler, O., Kruskopf, M., Lee, J., Palafox, L., Pimsut, Y., and Schurr, J, Meas. Sci. Technol. (2020), DOI: 10.1088/1361-6501/abcff3
description: This work was supported in part by the Joint Research Project GIQS (18SIB07). This project received funding from the European Metrology programme for Innovation and Research (EMPIR) co-financed by the Participating States and from the European Unions' Horizon 2020 research and innovation programme. Funder ID: 10.13039/100014132, Grant no: 18SIB07 GIQS.
DOI: 10.5281/zenodo.4455951
title: 20 Primary Studies SMS Strategy CG

description: Data set of 20 primary studies SMS: "Empirical Strategies in Software Engineering Research: A Literature Survey", by Cathy Guevara-Vega
DOI: 10.5281/zenodo.4455950
title: 20 Primary Studies SMS Strategy CG

description: Data set of 20 primary studies SMS: "Empirical Strategies in Software Engineering Research: A Literature Survey", by Cathy Guevara-Vega
DOI: 10.5517/ccdc.csd.cc25tm8x
title: CCDC 2020619: Experimental Crystal Structure Determination

description: Related Article: Andreas Rösch, Fabian Seifert, Valentin Vass, Helmar Görls, Robert Kretschmer|2021|New J.Chem.|45|972|doi:10.1039/D0NJ05007E
DOI: 10.5517/ccdc.csd.cc25tm9y
title: CCDC 2020620: Experimental Crystal Structure Determination

description: Related Article: Andreas Rösch, Fabian Seifert, Valentin Vass, Helmar Görls, Robert Kretschmer|2021|New J.Chem.|45|972|doi:10.1039/D0NJ05007E
DOI: 10.5517/ccdc.csd.cc25tmbz
title: CCDC 2020621: Experimental Crystal Structure Determination

description: Related Article: Andreas Rösch, Fabian Seifert, Valentin Vass, Helmar Görls, Robert Kretschmer|2021|New J.Chem.|45|972|doi:10.1039/D0NJ05007E
DOI: 10.5517/ccdc.csd.cc25tmc0
title: CCDC 2020622: Experimental Crystal Structure Determination

description: Related Article: Andreas Rösch, Fabian Seifert, Valentin Vass, Helmar Görls, Robert Kretschmer|2021|New J.Chem.|45|972|doi:10.1039/D0NJ05007E
DOI: 10.5517/ccdc.csd.cc25tmd1
title: CCDC 2020623: Experimental Crystal Structure Determination

description: Related Article: Andreas Rösch, Fabian Seifert, Valentin Vass, Helmar Görls, Robert Kretschmer|2021|New J.Chem.|45|972|doi:10.1039/D0NJ05007E
DOI: 10.5517/ccdc.csd.cc25tmf2
title: CCDC 2020624: Experimental Crystal Structure Determination

description: Related Article: Andreas Rösch, Fabian Seifert, Valentin Vass, Helmar Görls, Robert Kretschmer|2021|New J.Chem.|45|972|doi:10.1039/D0NJ05007E
DOI: 10.5517/ccdc.csd.cc25tmg3
title: CCDC 2020625: Experimental Crystal Structure Determination

description: Related Article: Andreas Rösch, Fabian Seifert, Valentin Vass, Helmar Görls, Robert Kretschmer|2021|New J.Chem.|45|972|doi:10.1039/D0NJ05007E
DOI: 10.5517/ccdc.csd.cc25tmh4
title: CCDC 2020626: Experimental Crystal Structure Determination

description: Related Article: Andreas Rösch, Fabian Seifert, Valentin Vass, Helmar Görls, Robert Kretschmer|2021|New J.Chem.|45|972|doi:10.1039/D0NJ05007E
DOI: 10.5517/ccdc.csd.cc25tmj5
title: CCDC 2020627: Experimental Crystal Structure Determination

description: Related Article: Andreas Rösch, Fabian Seifert, Valentin Vass, Helmar Görls, Robert Kretschmer|2021|New J.Chem.|45|972|doi:10.1039/D0NJ05007E
DOI: 10.5517/ccdc.csd.cc25tmk6
title: CCDC 2020628: Experimental Crystal Structure Determination

description: Related Article: Andreas Rösch, Fabian Seifert, Valentin Vass, Helmar Görls, Robert Kretschmer|2021|New J.Chem.|45|972|doi:10.1039/D0NJ05007E
DOI: 10.5517/ccdc.csd.cc25tml7
title: CCDC 2020629: Experimental Crystal Structure Determination

description: Related Article: Andreas Rösch, Fabian Seifert, Valentin Vass, Helmar Görls, Robert Kretschmer|2021|New J.Chem.|45|972|doi:10.1039/D0NJ05007E
DOI: 10.5517/ccdc.csd.cc26f4ph
title: CCDC 2038426: Experimental Crystal Structure Determination

description: Related Article: Alberto Toledo, Vanesa Salamanca, Teresa Pérez-Moro, Ana C. Albéniz|2020|Organometallics|40|38|doi:10.1021/acs.organomet.0c00675
DOI: 10.5517/ccdc.csd.cc26f4rk
title: CCDC 2038428: Experimental Crystal Structure Determination

description: Related Article: Alberto Toledo, Vanesa Salamanca, Teresa Pérez-Moro, Ana C. Albéniz|2020|Organometallics|40|38|doi:10.1021/acs.organomet.0c00675
DOI: 10.25387/g3.13641035.v1
title: Supplemental Material for Veley et al., 2021

description: <b>Table S1 </b>lists primers used in manuscript. <b>Figure S1 </b>supports figure 1 and shows the expression pattern of <i>MeSWEET10a</i> in vegetative tissues. <b>Figure S2 </b>supports figure 2 and shows sanger sequencing of successful knock-in lines. File 170. pIICI_8469_17G095200pTAL20 shows the map (pdf) and sequence (gb) of the construct used.
DOI: 10.25387/g3.13641035
title: Supplemental Material for Veley et al., 2021

description: <b>Table S1 </b>lists primers used in manuscript. <b>Figure S1 </b>supports figure 1 and shows the expression pattern of <i>MeSWEET10a</i> in vegetative tissues. <b>Figure S2 </b>supports figure 2 and shows sanger sequencing of successful knock-in lines. File 170. pIICI_8469_17G095200pTAL20 shows the map (pdf) and sequence (gb) of the construct used.