cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/21582876
title: Data on Irrigation development and management practices in Ethiopia: A systematic review on existing problems, sustainability issues and future directions

description: <strong>Description:</strong> This meta-data on development and management of community managed small-scale irrigation schemes in Ethiopia is presented in a spreadsheet as a table after reviewing 83 published articles. The dataset contains research focus, data collection and analysis method, spatial scale, irrigation typology, irrigation water sources, source of energy for water conveyance from the source, main research results, scheme management systems, identified problems and provided solutions from each research article when available. The spatial scale was categorized as national, regional, district, basin, watershed or scheme, based on the spatial coverage of the research done. The irrigation typology was categorized as large-scale, medium-scale and small-scale based on the Ethiopian classification. Surface water sources such as river, lake, reservoir and flash flood and ground water sources of wells and springs or a combination of more than one source were mentioned as the water sources for irrigation schemes. The sources of energy for water abstraction were categorized as gravity, pump or a combination of both. Year of irrigation scheme commencement, available irrigation scheme infrastructure, number of beneficiaries (households), and stakeholders in scheme management were also extracted when available in the literature. <br> <strong>Spatial coverage:</strong> Data was collected from community managed small-scale irrigation schemes located in different parts of Ethiopia. Location of some irrigation schemes (in UTM) is indicated in the dataset spreadsheet.
DOI: 10.4121/21582876.v1
title: Data on Irrigation development and management practices in Ethiopia: A systematic review on existing problems, sustainability issues and future directions

description: <strong>Description:</strong> This meta-data on development and management of community managed small-scale irrigation schemes in Ethiopia is presented in a spreadsheet as a table after reviewing 83 published articles. The dataset contains research focus, data collection and analysis method, spatial scale, irrigation typology, irrigation water sources, source of energy for water conveyance from the source, main research results, scheme management systems, identified problems and provided solutions from each research article when available. The spatial scale was categorized as national, regional, district, basin, watershed or scheme, based on the spatial coverage of the research done. The irrigation typology was categorized as large-scale, medium-scale and small-scale based on the Ethiopian classification. Surface water sources such as river, lake, reservoir and flash flood and ground water sources of wells and springs or a combination of more than one source were mentioned as the water sources for irrigation schemes. The sources of energy for water abstraction were categorized as gravity, pump or a combination of both. Year of irrigation scheme commencement, available irrigation scheme infrastructure, number of beneficiaries (households), and stakeholders in scheme management were also extracted when available in the literature. <br> <strong>Spatial coverage:</strong> Data was collected from community managed small-scale irrigation schemes located in different parts of Ethiopia. Location of some irrigation schemes (in UTM) is indicated in the dataset spreadsheet.
DOI: 10.4121/21631913.v1
title: Jet data profiles extracted from: Original data for the combined PIV/LIF measurement of a turbulent jet at a Reynolds number of 2000

description: The velocity profiles extracted from https://doi.org/10.4121/14226458.v1 both as absolute velocity data and scaled. <br> The data set provides the turbulence flow statistics (mean axial and radial velocity, normal stresses, and Reynolds stress) as a function of radial distance from the jet centerline at distances of [60, 70, ..., 100] nozzle diameters. <br> The same data is also presented in scaled fashion (by the centerline velocity and jet half-width), which demonstrates the self-similarity of all profiles.
DOI: 10.4121/21631913
title: Jet data profiles extracted from: Original data for the combined PIV/LIF measurement of a turbulent jet at a Reynolds number of 2000

description: The velocity profiles extracted from https://doi.org/10.4121/14226458.v1 both as absolute velocity data and scaled. <br> The data set provides the turbulence flow statistics (mean axial and radial velocity, normal stresses, and Reynolds stress) as a function of radial distance from the jet centerline at distances of [60, 70, ..., 100] nozzle diameters. <br> The same data is also presented in scaled fashion (by the centerline velocity and jet half-width), which demonstrates the self-similarity of all profiles.
DOI: 10.4121/17372348
title: Flight data underlying the publication: "Three-dimensional Relative Localization and Synchronized Movement with Wireless Ranging"

description: Flight data used for the experimental validation of the 3D relative localization algorithm presented in the paper "Three-dimensional relative localization and synchronized movement with wireless ranging (2022)".<br> <br> Data was recorded in the Cyberzoo test arena at the Faculty of Aerospace Engineering at TU Delft. Contains data for three different experiments, "horizontal velocity model", "relative localization" and "leader-follower", on two different drone platforms: Crazyflies (cf) and Flapper Drones (fd).<br> <br> Data was logged using the Crazyflie-Suite interface: https://github.com/tudelft/crazyflie-suite <br> The on-board code for performing the experiments can be found here:<br> (cf) https://github.com/tudelft/crazyflie-firmware/tree/cf_swarm3d (fd) https://github.com/tudelft/crazyflie-firmware/tree/flapper_swarm3d<br> <br> Data for identification of the horizontal velocity model on the Flapper Drones is also provided, alongside python scripts for data analysis. <br> To run the analysis scripts, extract the data into a folder called 'data', located in the same directory as the scripts.
DOI: 10.4121/21458289.v1
title: Data underlying the publication: Exposing the most vulnerable to climate extremes? A global overview of exposure in refugee camps

description: This archive has raw and processed data that we use to analyse how exposed refugee camps are to difrerent climatic shocks and stresses. To understand the analysis, please look at our GitHub repo.
DOI: 10.4121/21458289
title: Data underlying the publication: Exposing the most vulnerable to climate extremes? A global overview of exposure in refugee camps

description: This archive has raw and processed data that we use to analyse how exposed refugee camps are to difrerent climatic shocks and stresses. To understand the analysis, please look at our GitHub repo.
DOI: 10.4121/21621381
title: Acoustic Emission monitoring in CFRP compression tests

description: The dataset collects acoustic emission monitoring of a series of compression tests on Carbon Fiber Reinforced Composites (CFRP). The data can be used to perform signal analysis and recognize specific waveforms associable with specific damage modes. This data is made public to allow other researchers to use it in their own work.
DOI: 10.5676/eum_saf_cm/claas/v002_01
title: CLAAS-2.1: CM SAF CLoud property dAtAset using SEVIRI - Edition 2.1

description: The CLAAS-2.1 record provides cloud properties derived from the SEVIRI sensor onboard METEOSAT second generation (MSG) satellites. This first update of the second edition (Benas et al., 2017; CLAAS-2 DOI:10.5676/EUM_SAF_CM/CLAAS/V002; see also Stengel et al., 2014) features a temporal extension by two years (the record is now covering 2004-2017) and a bugfix for the monthly CTO products. As for previous editions of CLAAS, the solar SEVIRI channels of MSG-1, MSG-2 and MSG-3 were intercalibrated with MODIS Aqua (following Meirink et al., 2013) before applying the cloud retrievals. CLAAS-2.1 features the following cloud properties: cloud mask/type, cloud top temperature/pressure/height, cloud phase as well as cloud microphysical properties such as optical thickness, effective droplet radius and cloud water path. The data are available on native SEVIRI resolution, i.e. 15 minutes repeat cycle and 3km (nadir) to 11km (edge of the field of view) spatial resolution. In addition, spatio-temporal averages of the above mentioned cloud properties are included: Daily and monthly averages and monthly histograms on a 0.05° x 0.05° grid as well as monthly mean diurnal cycles on a 0.25° x 0.25° grid. The results of the comprehensive evaluation conducted for CLAAS-2 which were reported in Benas et al. (2017), remain valid for CLAAS-2.1. Along with the data, updated documentation including user guide, algorithm descriptions, reprocessing layout and extensive validation studies, is provided. With CLAAS-2.1, regional and large scale cloud processes at temporal scales of minutes to years can be studied. SEVIRI-based surface radiation products, which were part of CLAAS in edition 1, are released in a separate dataset (SARAH-2.1).
DOI: 10.4121/21603090.v1
title: Magister UT Burner experimental droplet measurements

description: Experimental dataset corresponding to droplet evolution within Magister UT Burner.
DOI: 10.4121/21603090
title: Magister UT Burner experimental droplet measurements

description: Experimental dataset corresponding to droplet evolution within Magister UT Burner.
DOI: 10.4121/20496411.v1
title: Supplementary data for the paper 'How do people distribute their attention while observing The Night Watch?'

description: This study explored how people look at The Night Watch (1642), Rembrandt’s masterpiece. Twenty-one participants each stood in front of the painting for 5 minutes, while their eyes were recorded with a mobile eye-tracker and their thoughts were verbalized with a think-aloud method. We computed a heatmap of the participants’ attentional distribution using a novel markerless mapping method. The results showed that the participants’ attention was mainly directed at the faces of the two central figures, the bright mascot girl in the painting, and detailed elements such as the apparel of the key figures. The eye-movement analysis and think-aloud data also showed that participants’ attention shifted from the faces of the key figures to other elements of the scene over the course of the 5 minutes. Our analyses are consistent with the theory that Rembrandt used light and texture to capture the viewer’s attention. Finally, the robustness of the eye-tracking method was demonstrated by replicating the study on a smaller replica.
DOI: 10.4121/20496411.v3
title: Supplementary data for the paper 'How do people distribute their attention while observing The Night Watch?'

description: This study explored how people look at The Night Watch (1642), Rembrandt’s masterpiece. Twenty-one participants each stood in front of the painting for 5 minutes, while their eyes were recorded with a mobile eye-tracker and their thoughts were verbalized with a think-aloud method. We computed a heatmap of the participants’ attentional distribution using a novel markerless mapping method. The results showed that the participants’ attention was mainly directed at the faces of the two central figures, the bright mascot girl in the painting, and detailed elements such as the apparel of the key figures. The eye-movement analysis and think-aloud data also showed that participants’ attention shifted from the faces of the key figures to other elements of the scene over the course of the 5 minutes. Our analyses are consistent with the theory that Rembrandt used light and texture to capture the viewer’s attention. Finally, the robustness of the eye-tracking method was demonstrated by replicating the study on a smaller replica.
DOI: 10.4121/20496411
title: Supplementary data for the paper 'How do people distribute their attention while observing The Night Watch?'

description: This study explored how people look at The Night Watch (1642), Rembrandt’s masterpiece. Twenty-one participants each stood in front of the painting for 5 minutes, while their eyes were recorded with a mobile eye-tracker and their thoughts were verbalized with a think-aloud method. We computed a heatmap of the participants’ attentional distribution using a novel markerless mapping method. The results showed that the participants’ attention was mainly directed at the faces of the two central figures, the bright mascot girl in the painting, and detailed elements such as the apparel of the key figures. The eye-movement analysis and think-aloud data also showed that participants’ attention shifted from the faces of the key figures to other elements of the scene over the course of the 5 minutes. Our analyses are consistent with the theory that Rembrandt used light and texture to capture the viewer’s attention. Finally, the robustness of the eye-tracking method was demonstrated by replicating the study on a smaller replica.
DOI: 10.4121/21456453
title: Replication files for the PhD thesis: Risks and opportunities to development: a local perspective

description: This repository contains the analysis files and documentation for the thesis entitled "Risks and opportunities to development: a local perspective". <br> Respondents did not consent to sharing their data, so the input data is not shared. It can be accessed in case of doubts about the academic integrity of the thesis by contacting the author or office.economics@wur.nl. <br> All replication files are contained in a zip file which also contains a readme and a copy of the thesis.
DOI: 10.4121/21456453.v1
title: Replication files for the PhD thesis: Risks and opportunities to development: a local perspective

description: This repository contains the analysis files and documentation for the thesis entitled "Risks and opportunities to development: a local perspective". <br> Respondents did not consent to sharing their data, so the input data is not shared. It can be accessed in case of doubts about the academic integrity of the thesis by contacting the author or office.economics@wur.nl. <br> All replication files are contained in a zip file which also contains a readme and a copy of the thesis.
DOI: 10.4121/21485658.v1
title: Data underlying the research of Comparison of gait index data between two groups

description: Objective: To observe the effect of lower limb rehabilitation system on lower limb function of patients after total hip arthroplasty. <br> Study type: a randomized controlled trial. <br> Data collection method: Bioinformatics sensors of lower limb rehabilitation system were used to collect relevant gait indicators. <br> Data type: quantitative variable
DOI: 10.4121/21485658.v2
title: Data underlying the research of Comparison of gait index data between two groups

description: Objective: To observe the effect of lower limb rehabilitation system on lower limb function of patients after total hip arthroplasty. <br> Study type: a randomized controlled trial. <br> Data collection method: Bioinformatics sensors of lower limb rehabilitation system were used to collect relevant gait indicators. <br> Data type: quantitative variable
DOI: 10.4121/21485658
title: Data underlying the research of Comparison of gait index data between two groups

description: Objective: To observe the effect of lower limb rehabilitation system on lower limb function of patients after total hip arthroplasty. <br> Study type: a randomized controlled trial. <br> Data collection method: Bioinformatics sensors of lower limb rehabilitation system were used to collect relevant gait indicators. <br> Data type: quantitative variable
DOI: 10.4121/14226458
title: Original data for the combined PIV/LIF measurement of a turbulent jet at a Reynolds number of 2000

description: This data set contains the original data for the combined PIV/LIF measurement of a turbulent jet at a Reynolds number of 2000.<br>This data was originally used to determine the mixing in a turbulent jet, but its main use was for the investigation of the mechanics of the turbulent/non-turbulent interface and the entrainment process. For this purpose measurements were carried out with combined particle image velocimetry (PIV) and laser-induced fluorescence (LIF). All data is contained in a Matlab data file (*.mat). PIV data are in pixel [px] units; LIF data are normalised relative to a calibration concentration field.
DOI: 10.4121/20496411.v2
title: Supplementary data for the paper 'How do people distribute their attention while observing The Night Watch?'

description: This study explored how people look at The Night Watch (1642), Rembrandt’s masterpiece. Twenty-one participants each stood in front of the painting for 5 minutes, while their eyes were recorded with a mobile eye-tracker and their thoughts were verbalized with a think-aloud method. We computed a heatmap of the participants’ attentional distribution using a novel markerless mapping method. The results showed that the participants’ attention was mainly directed at the faces of the two central figures, the bright mascot girl in the painting, and detailed elements such as the apparel of the key figures. The eye-movement analysis and think-aloud data also showed that participants’ attention shifted from the faces of the key figures to other elements of the scene over the course of the 5 minutes. Our analyses are consistent with the theory that Rembrandt used light and texture to capture the viewer’s attention. Finally, the robustness of the eye-tracking method was demonstrated by replicating the study on a smaller replica.
DOI: 10.4121/14226458.v1
title: Original data for the combined PIV/LIF measurement of a turbulent jet at a Reynolds number of 2000

description: This data set contains the original data for the combined PIV/LIF measurement of a turbulent jet at a Reynolds number of 2000.<br>This data was originally used to determine the mixing in a turbulent jet, but its main use was for the investigation of the mechanics of the turbulent/non-turbulent interface and the entrainment process. For this purpose measurements were carried out with combined particle image velocimetry (PIV) and laser-induced fluorescence (LIF). All data is contained in a Matlab data file (*.mat). PIV data are in pixel [px] units; LIF data are normalised relative to a calibration concentration field.
DOI: 10.5517/ccdc.csd.cc1nwpqy
title: CCDC 1545961: Experimental Crystal Structure Determination

description: Related Article: Daniel Kratzert, Thomas Baumann, Reinhard Brückner|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1z0dn1
title: CCDC 1817643: Experimental Crystal Structure Determination

description: Related Article: Daniel Kratzert, Jan Streuff, Stefan Wiesler|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.21691922
title: AA-Pruebadeposito-JMM.xlsx

description: Analisis de varias bibliotecas d
DOI: 10.6084/m9.figshare.21691922.v1
title: AA-Pruebadeposito-JMM.xlsx

description: Analisis de varias bibliotecas d
DOI: 10.6095/4xzv-r028
title: Data from: Billfish life history, age and growth research 1970-1978

description: Billfish life history field data include information on Atlantic billfish species, catch location, billfish length, weight, sex, macroscopic development, stomach content, gonads, and remarks. Additional data exist on plankton tows, ship logs, nightlight samples, and dip net samples. Some data sheets contain otolith information. Billfish samples were collected from fishing boats, smokehouses, and taxidermy shops in Southeast Florida.
DOI: 10.15132/10000191
title: Time Series of Media Implied Economic Sentiments (Linear Support Vector Machine)

description: This dataset consists of economic implied sentiments based on filtering of articles based on economic policy keywords. The process of filtering is described in :

Rambaccussing, D., & Kwiatkowski, A. (2020). Forecasting with news sentiment: Evidence with UK newspapers. International Journal of Forecasting, 36(4), 1501-1516.

Bowden, J., Kwiatkowski, A., & Rambaccussing, D. (2019). Economy through a lens: distortions of policy coverage in UK national newspapers. Journal of Comparative Economics, 47(4), 881-906.

The construction of the sentiment scores uses supervised machine learning where the training, testing and validation is performed using Linear Supportn Vector systems.
DOI: 10.5281/zenodo.7401734
title: Radiative feedbacks in CAM6 PPE

description: Radiative feedbacks in a CAM6 perturbed parameter ensemble (PPE) are calculated using radiative kernels. Feedbacks are calculated as the difference between a control 'PD' simulation and a simulation with an imposed uniform 4K SST warming 'SST4K.' The PPE are three-year long simulations of CAM6 which vary in their atmospheric parameter values. Simulations 0 is the default. Simulations 001 through 262 have varied atmospheric parameter values. The parameters are varied concurrently and randomly using latin hypercube sampling. The parameter values are in 'parameter_262_w_control.nc'. Three kinds of kernels are used. All three kernels give similar cloud-radiative feedbacks. The 'Zelinka' kernels include only cloud-radiative feedbacks but are further partitioned by cloud top pressure and optical depth. Both the 'Zelinka' and 'Pendergrass' kernels use CAM5, which has the same radiative transfer model as the PPE. The 'Huang' kernels use ERA-Interim reanalsysis data. Further details on each kernel is provided in the publications listed below. Please contact Margaret Duffy with any questions or comments at mlduffy at ucar dot edu. Zelinka kernels: Zelinka, M. D., S. A. Klein, and D. L. Hartmann, 2012: Computing and Partitioning Cloud Feedbacks Using Cloud Property Histograms. Part I: Cloud Radiative Kernels. J. Climate, 25, 3715-3735. doi:10.1175/JCLI-D-11-00248.1. Zelinka, M. D., S. A. Klein, and D. L. Hartmann, 2012: Computing and Partitioning Cloud Feedbacks Using Cloud Property Histograms. Part II: Attribution to Changes in Cloud Amount, Altitude, and Optical Depth. J. Climate, 25, 3736-3754. doi:10.1175/JCLI-D-11-00249.1. Zelinka, M.D., S.A. Klein, K.E. Taylor, T. Andrews, M.J. Webb, J.M. Gregory, and P.M. Forster, 2013: Contributions of Different Cloud Types to Feedbacks and Rapid Adjustments in CMIP5. J. Climate, 26, 5007-5027. doi:10.1175/JCLI-D-12-00555.1. Zelinka, M. D., C. Zhou, and S. A. Klein, 2016: Insights from a Refined Decomposition of Cloud Feedbacks, Geophys. Res. Lett., 43, 9259-9269, doi:10.1002/2016GL069917. Zhou, C., M. D. Zelinka, A. E. Dessler, P. Yang, 2013: An analysis of the short-term cloud feedback using MODIS data, J. Climate, 26, 4803–4815. doi:10.1175/JCLI-D-12-00547.1. Pendergrass kernels: Pendergrass, A.G., Andrew Conley and Francis Vitt: Surface and top-of-atmosphere radiative feedback kernels for CESM-CAM5. <em>Earth System Science Data</em>. doi:10.5194/essd-2017-108. Huang kernels: Huang, Y., Xia, Y., and Tan, X. (2017), On the pattern of CO2 radiative forcing and poleward energy transport, J. Geophys. Res. Atmos., 122, 10,578– 10,593, doi:10.1002/2017JD027221.
DOI: 10.6084/m9.figshare.21675692.v1
title: ohun: optimizing sound event detection

description: Supporting information for the paper describing the R package "ohun: optimizing sound event detection"