cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5258/soton/d2425
title: Dataset in support of the Southampton doctoral thesis 'Studies on plasmid-based genetic tools for C. muridarum: progress towards a replicating vector for transposon mutagenesis'

description: This dataset contains two databases demonstrating the raw data collected for measuring plasmid stabilty in C. muridarum strains. The first dataset contains data for quantifying the frequency of plasmid loss as a proxy for the rate of plasmid loss, by quantifying the proportion of plasmid-free inclusions in the total population identified by the absence of GFP expressed in trans. The second dataset contains qPCR data measured from samples of total genomic DNA extracted from harvested inocula at passage 3 and 6 only, for determination of plasmid copy number (absolute plasmid copies per chromosome). The qPCR protocol used primer pairs to target single copy genes located on the chromosome (omcB) and on the plasmid (CDS2).
DOI: 10.5281/zenodo.7044131
title: COMPASS – rapid and highly sensitive medical point-of-care diagnostic

description: This Git consists of all data sets used for generating the figures for the manuscript: COMPASS – rapid and highly sensitive medical point-of-care diagnostic Specific information can be find in the readme
DOI: 10.5281/zenodo.7054365
title: COMPASS – rapid and highly sensitive medical point-of-care diagnostic

description: This Git consists of all data sets used for generating the figures for the manuscript: COMPASS – rapid and highly sensitive medical point-of-care diagnostic Specific information can be find in the readme
DOI: 10.5281/zenodo.7278298
title: COMPASS – rapid and highly sensitive medical point-of-care diagnostic

description: This Git consists of all data sets used for generating the figures for the manuscript: COMPASS – rapid and highly sensitive medical point-of-care diagnostic Specific information can be find in the readme
DOI: 10.5281/zenodo.7044130
title: COMPASS: A magnetic particle-based method for rapid and highly sensitive medical point-of-care diagnostic

description: This Git consists of all data sets used for generating the figures for the manuscript: COMPASS: A magnetic particle-based method for rapid and highly sensitive medical point-of-care diagnostic Specific information can be find in the readme
DOI: 10.5281/zenodo.7304376
title: COMPASS: A magnetic particle-based method for rapid and highly sensitive medical point-of-care diagnostic

description: This Git consists of all data sets used for generating the figures for the manuscript: COMPASS: A magnetic particle-based method for rapid and highly sensitive medical point-of-care diagnostic Specific information can be find in the readme
DOI: 10.5281/zenodo.7304389
title: Ischia cGPS network – RINEX data quality control (2001 – 2019)

description: For each cGPS station, the file contains a summary report with information about Rinex observation data. For each day, the summary line shows the following information: cGPS station name (Name), the start time of the window, the time format is year (Y), month (M), day (D), hour and minutes (Hour), day of year (DOY), modified Julian date (M J Date) and GPS week (Week), the end time of the window, the time format is year (Y), month (M), day (D), hour and minutes (Hour), day of year (DOY), modified Julian date (M J Date), and GPS week (Week), the start and end times of the window (time format is year month day hour min), window time laps (Hrs), observation interval (OI), the number of possible observations (#expt) above the elevation mask, the number of complete observations (#obs), the ratio of complete to possible observations as a percent (DCP), the RMS “multipath combinations” values MP1 and MP2, in meters, limited by the elevation mask (MP1, MP22) rounded to two decimal points, cycle slips (CS), the ratio of complete observations to cycle slips (obs/CS). A full description of cGPS network is reported in:<br> - De Martino P, Dolce M, Brandi G, Scarpato G, Tammaro U (2021). The Ground Deformation History of the Neapolitan Volcanic Area (Campi Flegrei Caldera, Somma–Vesuvius Volcano, and Ischia Island) from 20 Years of Continuous GPS Observations (2000–2019). Remote Sensing. 13(14):2725. doi:10.3390/rs13142725. Please cite this when using the dataset
DOI: 10.5281/zenodo.7304388
title: Ischia cGPS network – RINEX data quality control (2001 – 2019)

description: For each cGPS station, the file contains a summary report with information about Rinex observation data. For each day, the summary line shows the following information: cGPS station name (Name), the start time of the window, the time format is year (Y), month (M), day (D), hour and minutes (Hour), day of year (DOY), modified Julian date (M J Date) and GPS week (Week), the end time of the window, the time format is year (Y), month (M), day (D), hour and minutes (Hour), day of year (DOY), modified Julian date (M J Date), and GPS week (Week), the start and end times of the window (time format is year month day hour min), window time laps (Hrs), observation interval (OI), the number of possible observations (#expt) above the elevation mask, the number of complete observations (#obs), the ratio of complete to possible observations as a percent (DCP), the RMS “multipath combinations” values MP1 and MP2, in meters, limited by the elevation mask (MP1, MP22) rounded to two decimal points, cycle slips (CS), the ratio of complete observations to cycle slips (obs/CS). A full description of cGPS network is reported in:<br> - De Martino P, Dolce M, Brandi G, Scarpato G, Tammaro U (2021). The Ground Deformation History of the Neapolitan Volcanic Area (Campi Flegrei Caldera, Somma–Vesuvius Volcano, and Ischia Island) from 20 Years of Continuous GPS Observations (2000–2019). Remote Sensing. 13(14):2725. doi:10.3390/rs13142725. Please cite this when using the dataset
DOI: 10.6084/m9.figshare.21517839
title: dataset.zip

description: This is a data set about underwater low light image enhancement.
DOI: 10.6084/m9.figshare.21517839.v1
title: dataset.zip

description: This is a data set about underwater low light image enhancement.
DOI: 10.6073/pasta/09a95cf44cd7835db002b0089ed5ffc3
title: Global N2O Database version 1.0

description: Agriculture is the primary source of the powerful greenhouse gas (GHG) nitrous oxide (N2O) and an important source of GHG emissions. Due to sampling limitations, N2O measurements have traditionally been sparse; with research studies that often have less than 50 sampled days within a year. Nitrous oxide emissions are highly variable and short-lived peak emission periods may contribute more than 50% to annual emissions. Gap filling around these peaks, if measured at all, can result in poor estimations under the standard practice using linear interpolation. Improved gap filling methods that reflect covariate data will likely reduce uncertainty and improve annual N2O estimates. The Global N2O Database was created to serve as a repository for these datasets as well as become a resource for publicly available data and analytical advances. These datasets have been joined in data sheets that use the same formatting, allowing for easy access and comparison of data sets. We hope that this data availability will lead to improvements in N2O understanding and mitigation.
DOI: 10.6084/m9.figshare.20134997
title: MacroRivers_AllData_AllSites .xlsx

description: Supporting dataset for the article: "High rates of daytime river metabolism are an underestimated component of carbon cycling" by Flavia Tromboni, Erin R. Hotchkiss, Anne E. Schechner, Walter K. Dodds, Simon R. Poulson, Sudeep Chandra.
DOI: 10.6084/m9.figshare.20134997.v2
title: MacroRivers_AllData_AllSites .xlsx

description: Supporting dataset for the article: "High rates of daytime river metabolism are an underestimated component of carbon cycling" by Flavia Tromboni, Erin R. Hotchkiss, Anne E. Schechner, Walter K. Dodds, Simon R. Poulson, Sudeep Chandra.
DOI: 10.6084/m9.figshare.20134997.v1
title: MacroRivers_AllData_AllSites .xlsx

description: Supporting dataset for the article: "High rates of daytime river metabolism are an underestimated component of carbon cycling" by Flavia Tromboni, Erin R. Hotchkiss, Anne E. Schechner, Walter K. Dodds, Simon R. Poulson, Sudeep Chandra.
DOI: 10.5281/zenodo.7304401
title: Vesuvio cGPS network – RINEX data quality control (2001 – 2019)

description: For each cGPS station, the file contains a summary report with information about Rinex observation data. For each day, the summary line shows the following information: cGPS station name (Name), the start time of the window, the time format is year (Y), month (M), day (D), hour and minutes (Hour), day of year (DOY), modified Julian date (M J Date) and GPS week (Week), the end time of the window, the time format is year (Y), month (M), day (D), hour and minutes (Hour), day of year (DOY), modified Julian date (M J Date), and GPS week (Week), the start and end times of the window (time format is year month day hour min), window time laps (Hrs), observation interval (OI), the number of possible observations (#expt) above the elevation mask, the number of complete observations (#obs), the ratio of complete to possible observations as a percent (DCP), the RMS “multipath combinations” values MP1 and MP2, in meters, limited by the elevation mask (MP1, MP22) rounded to two decimal points, cycle slips (CS), the ratio of complete observations to cycle slips (obs/CS). A full description of cGPS network is reported in:<br> - De Martino P, Dolce M, Brandi G, Scarpato G, Tammaro U (2021). The Ground Deformation History of the Neapolitan Volcanic Area (Campi Flegrei Caldera, Somma–Vesuvius Volcano, and Ischia Island) from 20 Years of Continuous GPS Observations (2000–2019). Remote Sensing. 13(14):2725. doi:10.3390/rs13142725. Please cite this when using the dataset
DOI: 10.5281/zenodo.7304400
title: Vesuvio cGPS network – RINEX data quality control (2001 – 2019)

description: For each cGPS station, the file contains a summary report with information about Rinex observation data. For each day, the summary line shows the following information: cGPS station name (Name), the start time of the window, the time format is year (Y), month (M), day (D), hour and minutes (Hour), day of year (DOY), modified Julian date (M J Date) and GPS week (Week), the end time of the window, the time format is year (Y), month (M), day (D), hour and minutes (Hour), day of year (DOY), modified Julian date (M J Date), and GPS week (Week), the start and end times of the window (time format is year month day hour min), window time laps (Hrs), observation interval (OI), the number of possible observations (#expt) above the elevation mask, the number of complete observations (#obs), the ratio of complete to possible observations as a percent (DCP), the RMS “multipath combinations” values MP1 and MP2, in meters, limited by the elevation mask (MP1, MP22) rounded to two decimal points, cycle slips (CS), the ratio of complete observations to cycle slips (obs/CS). A full description of cGPS network is reported in:<br> - De Martino P, Dolce M, Brandi G, Scarpato G, Tammaro U (2021). The Ground Deformation History of the Neapolitan Volcanic Area (Campi Flegrei Caldera, Somma–Vesuvius Volcano, and Ischia Island) from 20 Years of Continuous GPS Observations (2000–2019). Remote Sensing. 13(14):2725. doi:10.3390/rs13142725. Please cite this when using the dataset
DOI: 10.34740/kaggle/dsv/4470429
title: COVID Vaccination in World (updated daily)
DOI: 10.6084/m9.figshare.21517884
title: Mayer et al. Hare space use in relation to roads DATA

description: Data set obtained of GPS-collared European hares (Lepus europaeus) in Denmark and Germany. For details, please see Mayer et al. (2022): Influence of roads on space use by European hares in different landscapes. Landscape Ecology. 10.1007/s10980-022-01552-3
DOI: 10.6084/m9.figshare.21517884.v1
title: Mayer et al. Hare space use in relation to roads DATA

description: Data set obtained of GPS-collared European hares (Lepus europaeus) in Denmark and Germany. For details, please see Mayer et al. (2022): Influence of roads on space use by European hares in different landscapes. Landscape Ecology. 10.1007/s10980-022-01552-3
DOI: 10.6084/m9.figshare.21517830
title: Dataset.zip

description: MOTO
DOI: 10.6084/m9.figshare.21517830.v1
title: Dataset.zip

description: MOTO
DOI: 10.5281/zenodo.5913066
title: 3D Data from "New look at Concavicaris woodfordi (Euarthropoda: Pancrustacea?) using micro-computed tomography"

description: It includes the tomograms (CT-scan), the segmentation project (Mimics) the 3D rendered data (STL) of the holotype of <em>Concavicaris woodfordi</em> (USNM PAL 112025). <strong>Tomograms</strong>. The specimen was micro-CT scanned using the North Star Imaging µCT scanner housed at Vanderbilt University (Tennessee, USA). 1377 two-dimensional images were obtained with a voxel size of 46 µm at a voltage of 115 kV and current of 10 µA; the volume was reconstructed using EFX-CT (North Star Imaging, Minnesota, USA). <strong>Segmentation. </strong>Rotation (178°), cropping and conversion to 8-bit were applied to every slice prior to segmentation. Manual and semi-automatic segmentation were done using Mimics 24.0 Research Edition (Materialise). The results of the segmentation were exported as STL files. 3D rendering and processing was done using Meshlab 2021.05 (GNU GPL 3.0)
DOI: 10.5281/zenodo.5913067
title: 3D Data from "New look at Concavicaris woodfordi (Euarthropoda: Pancrustacea?) using micro-computed tomography"

description: It includes the tomograms (CT-scan), the segmentation project (Mimics) the 3D rendered data (STL) of the holotype of <em>Concavicaris woodfordi</em> (USNM PAL 112025). <strong>Tomograms</strong>. The specimen was micro-CT scanned using the North Star Imaging µCT scanner housed at Vanderbilt University (Tennessee, USA). 1377 two-dimensional images were obtained with a voxel size of 46 µm at a voltage of 115 kV and current of 10 µA; the volume was reconstructed using EFX-CT (North Star Imaging, Minnesota, USA). <strong>Segmentation. </strong>Rotation (178°), cropping and conversion to 8-bit were applied to every slice prior to segmentation. Manual and semi-automatic segmentation were done using Mimics 24.0 Research Edition (Materialise). The results of the segmentation were exported as STL files. 3D rendering and processing was done using Meshlab 2021.05 (GNU GPL 3.0)
DOI: 10.5281/zenodo.7243809
title: Racó Forums Corpus

description: The Racó Forums Corpus is a 19-million-sentence corpus of Catalan user-generated text built from the forums of Racó Català. Since the existing available corpora in Catalan lacked conversational data, we searched for a major source of such data for Catalan, and we found Racó Català, a popular multitopic online forum. We obtained a database dump and we transformed all the threads so that we obtained documents that traversed all the existing paths from the root (initial comment) to the leaves (last comment with no reply). In other words, if T is a tree such that T = {A,B,C,D} and the first comment is A that is replied by B and C independently, and, then, C is replied by D, we obtain two different documents A,B and A,C,D in the fairseq language modeling format. The corpora has been anonimized by changing user names to common Catalan names and removing emails and mentions to the forum itself.
DOI: 10.25381/cput.21506475
title: Communication barriers limiting successful project execution during construction at a selected site in the Cape Metropolis

description: Ethical Clearance: 2021_FBMSREC 042 <br> The dataset is about my data collection that I have collected during the dissertation. <br> I have tried to outline each variable and statements to the best of my ability. <br> The dataset includes section A, B and C as per my data collection instrument.
DOI: 10.5281/zenodo.7304494
title: ALDH raw data

description: The ALDH raw data of groundnut (<em>Arachis hypogaea</em>) and the analysis of evolution, collinearity, enrichment, and expression patterns under saline-alkali stress.
DOI: 10.5281/zenodo.7304493
title: ALDH raw data

description: The ALDH raw data of groundnut (<em>Arachis hypogaea</em>) and the analysis of evolution, collinearity, enrichment, and expression patterns under saline-alkali stress.
DOI: 10.5281/zenodo.7304031
title: Simulations for pre-industrial climate using EC-Earth3-LR model — selected data for a study on AMOC

description: A long-term control simulation of pre-industrial period (1850 CE) climates were performed by the EC-Earth3-LR climate model with a horizontal resolution of ~1.125°. The dataset contains selected output data from the simulations. In total, a 2000-year long control simulation was made, which has pre-industrial orbital boundary conditions, initialized by a pre-run steady restart file (the output of approximately 500-year pre-industrial control simulation). This dataset is used to investigate internal climate variability without external forcing changes under pre-industrial climate conditions. The dataset contains Earth system model results from EC-Earth3 presented in the study by Cao et al. (2022). <strong>Model configuration</strong><br> Time periods: Pre-Industrial (2000-year time slice)<br> ESM configuration: EC-Earth3-LR<br> Horizontal resolution: ~1.125° (~125 km) <strong>Available data</strong><br> Annual mean data for standard oceanographic and meteorological variables.
DOI: 10.5281/zenodo.7304486
title: Simulations for pre-industrial climate using EC-Earth3-LR model — selected data for a study on AMOC

description: A long-term control simulation of pre-industrial period (1850 CE) climates were performed by the EC-Earth3-LR climate model with a horizontal resolution of ~1.125°. The dataset contains selected output data from the simulations. In total, a 2000-year long control simulation was made, which has pre-industrial orbital boundary conditions, initialized by a pre-run steady restart file (the output of approximately 500-year pre-industrial control simulation). This dataset is used to investigate internal climate variability without external forcing changes under pre-industrial climate conditions. The dataset contains Earth system model results from EC-Earth3 presented in the study by Cao et al. (2022). <strong>Model configuration</strong><br> Time periods: Pre-Industrial (2000-year time slice)<br> ESM configuration: EC-Earth3-LR<br> Horizontal resolution: ~1.125° (~125 km) <strong>Available data</strong><br> Annual mean data for standard oceanographic and meteorological variables.
DOI: 10.25381/cput.21502722
title: Contamination sources and concentrations of metal pollutants in the Eerste River, Cape Town, South Africa

description: Ethical clearance number: 209052988/04/2021 <br> The data represents river water and sediment samples that were collected along the length of the Eerste River, which have undergone ICP analysis for metals.
DOI: 10.25381/cput.21502722.v1
title: Contamination sources and concentrations of metal pollutants in the Eerste River, Cape Town, South Africa

description: Ethical clearance number: 209052988/04/2021 <br> The data represents river water and sediment samples that were collected along the length of the Eerste River, which have undergone ICP analysis for metals.
DOI: 10.25381/cput.21443022
title: A framework for the use of m-commerce by brick-and-mortar retail stores in Angola

description: Ethical clearance: 2020FOBREC806 The lack of a dependable framework for using mobile commerce to manage brick-and-mortar retailer stakeholders' priorities continues to be a concern for conventional business leaders, who continue to struggle to incorporate productivity-enhancing technologies into their businesses. Even so, conventional retailers expect mobile commerce to enable them to respond to continuous uncertainty and unpredictable changes in a dynamic business environment, accommodate new consumer experiences, boost sales of products/services and achieve competitive advantage. Given the above, this study aims to explore the use of a framework for mobile commerce in brick-and-mortar retailers. The main objective is to investigate the underlying factors that are requisite for the use of a framework for mobile commerce in brick-and-mortar retailers. Thus, the study integrated the Technology-Organisation-Environment framework and the Task-Technology Fit model as the lens to better explore the magnitude of the problem. The study combined both the positivist and interpretive paradigms and followed a cross-sectional study design. Both the structured questionnaire and the semi-structured interview as survey instruments were considered appropriate for the collection of both qualitative and quantitative data from brick-and-mortar business managers/owners and mobile commerce business personnel. Descriptive analysis, Structural Equation Modeling analysis and content analysis were performed. Thus, triangulation between qualitative data and quantitative data was used to ensure concurrent validity. The general framework proposed by the study provides a comprehensive structural design within the alignment of brick-and-mortar retailer operations and mobile commerce practices. It may help conventional businesses to understand and identify the requisite factors in the adoption and use of m-commerce and assist business supporters in the process of technological innovation transfer.
DOI: 10.25381/cput.21443022.v1
title: A framework for the use of m-commerce by brick-and-mortar retail stores in Angola

description: Ethical clearance: 2020FOBREC806 The lack of a dependable framework for using mobile commerce to manage brick-and-mortar retailer stakeholders' priorities continues to be a concern for conventional business leaders, who continue to struggle to incorporate productivity-enhancing technologies into their businesses. Even so, conventional retailers expect mobile commerce to enable them to respond to continuous uncertainty and unpredictable changes in a dynamic business environment, accommodate new consumer experiences, boost sales of products/services and achieve competitive advantage. Given the above, this study aims to explore the use of a framework for mobile commerce in brick-and-mortar retailers. The main objective is to investigate the underlying factors that are requisite for the use of a framework for mobile commerce in brick-and-mortar retailers. Thus, the study integrated the Technology-Organisation-Environment framework and the Task-Technology Fit model as the lens to better explore the magnitude of the problem. The study combined both the positivist and interpretive paradigms and followed a cross-sectional study design. Both the structured questionnaire and the semi-structured interview as survey instruments were considered appropriate for the collection of both qualitative and quantitative data from brick-and-mortar business managers/owners and mobile commerce business personnel. Descriptive analysis, Structural Equation Modeling analysis and content analysis were performed. Thus, triangulation between qualitative data and quantitative data was used to ensure concurrent validity. The general framework proposed by the study provides a comprehensive structural design within the alignment of brick-and-mortar retailer operations and mobile commerce practices. It may help conventional businesses to understand and identify the requisite factors in the adoption and use of m-commerce and assist business supporters in the process of technological innovation transfer.
DOI: 10.25381/cput.21391152
title: Post-mortem computed tomography in the assessment of fatal child abuse RAW DATA.xlsx

description: CPUT/HW-REC2014/H12 This is the raw data for my doctoral thesis on Post-mortem Computed Tomography in the assessment of fatal child abuse.
DOI: 10.25381/cput.21391152.v1
title: Post-mortem computed tomography in the assessment of fatal child abuse RAW DATA.xlsx

description: CPUT/HW-REC2014/H12 This is the raw data for my doctoral thesis on Post-mortem Computed Tomography in the assessment of fatal child abuse.