cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/14625855
title: Supplementary data for Design and Evaluation of a Series-ElasticGyroscopic Actuator for Balance Assistance

description: Experimental data and posprocessing scripts accompanying paper "Design and Evaluation of a Series-ElasticGyroscopic Actuator for Balance Assistance". The scripts posprocess and generate the figures describing the frequency behaviour of the compliant and rigid actuator.
DOI: 10.4121/14623056.v1
title: Supporting data: Sensing, Actuation, and Control of the SmartX Prototype Morphing Wing in the Wind Tunnel

description: Data acquired from wind tunnel tests pertaining to servo and fibre optic sensing readings.
DOI: 10.4121/14623056
title: Supporting data: Sensing, Actuation, and Control of the SmartX Prototype Morphing Wing in the Wind Tunnel

description: Data acquired from wind tunnel tests pertaining to servo and fibre optic sensing readings.
DOI: 10.4121/14623011.v1
title: Data underlying the research Evidence for the Fulde-Ferrell-Larkin-Ovchinnikov state in bulk NbS2

description: The files contain all the source data of magnetic torque, specific heat and linear thermal expansion taken on a single crystal of NbS2 as contained in arXiv:2011.04880. All data is supplied in ASCII format. The description of the content of each file should be obvious from the file names and the header. Please refer to the readme file for detailed information. <br>
DOI: 10.4121/14623011
title: Data underlying the research Evidence for the Fulde-Ferrell-Larkin-Ovchinnikov state in bulk NbS2

description: The files contain all the source data of magnetic torque, specific heat and linear thermal expansion taken on a single crystal of NbS2 as contained in arXiv:2011.04880. All data is supplied in ASCII format. The description of the content of each file should be obvious from the file names and the header. Please refer to the readme file for detailed information. <br>
DOI: 10.4121/14626020
title: Process Discovery Contest 2020

description: This is the data set that was used for the Process Discovery Contest of 2020 (PDC 2020). The data set contains 192 training logs, 192 corresponding test logs, 192 corresponding ground truth logs, and 96 models. The logs are all stored using the IEEE XES file format (see either https://www.xes-standard.org/ or https://ieeexplore.ieee.org/document/7740858), while the models are workflow nets (a subclass of Petri nets) stored in the PNML file format (see<br>https://www.iso.org/obp/ui/#iso:std:iso-iec:15909:-2:ed-1:v1:en).<br>
DOI: 10.4121/14625996
title: Process Discovery Contest 2019

description: This is the data set that was used for the Process Discovery Contest of 2019 (PDC 2019). The data set contains 10 training logs, 10 corresponding test logs, and 10 corresponding ground truth logs. The logs are all stored using the IEEE XES file format (see either https://www.xes-standard.org/ or https://ieeexplore.ieee.org/document/7740858).<br><br>In each ground truth log, the additional boolean “pdc:isPos” attribute denotes whether the trace is positive (fits the model, true) or negative (does not fit the model, false). <br><br>
DOI: 10.4121/14625948
title: Process Discovery Contest 2017

description: This is the data set that was used for the Process Discovery Contest of 2017 (PDC 2017). The data set contains 10 training logs, 10 corresponding test logs, and 10 corresponding ground truth logs. The logs are all stored using the IEEE XES file format (see either https://www.xes-standard.org/ or https://ieeexplore.ieee.org/document/7740858).<br><br>In each ground truth log, the additional boolean “pdc:isPos” attribute denotes whether the trace is positive (fits the model, true) or negative (does not fit the model, false).<br><br>
DOI: 10.4121/14625912
title: Process Discovery Contest 2016

description: This is the data set that was used for the Process Discovery Contest of 2016 (PDC 2016). The data set contains 10 training logs, 10 corresponding test logs, and 10 corresponding ground truth logs. The logs are all stored using the IEEE XES file format (see either https://www.xes-standard.org/ or https://ieeexplore.ieee.org/document/7740858).<br><br>In each ground truth log, the additional boolean “pdc:isPos” attribute denotes whether the trace is positive (fits the model, true) or negative (does not fit the model, false).<br><br>
DOI: 10.4121/14625912.v1
title: Process Discovery Contest 2016

description: This is the data set that was used for the Process Discovery Contest of 2016 (PDC 2016). The data set contains 10 training logs, 10 corresponding test logs, and 10 corresponding ground truth logs. The logs are all stored using the IEEE XES file format (see either https://www.xes-standard.org/ or https://ieeexplore.ieee.org/document/7740858).<br><br>In each ground truth log, the additional boolean “pdc:isPos” attribute denotes whether the trace is positive (fits the model, true) or negative (does not fit the model, false).<br><br>
DOI: 10.4121/14634021.v1
title: Data resulting from slide-hold-slide friction experiments on three types of carbonate faults rocks.

description: This data set is corresponding to the Park, Y., Hirose, T., and Ree, JH, "<em>Carbonate fault mirrors with extremely low frictional healing rates: A possible source of aseismic creep</em>" Geophysical Research Letters, 2021. The data set shows that carbonate fault mirrors have significantly low (near-zero) frictinoal healing rates, while newly formed gouges and gouges generated from destroyed fault mirrors have high frictional healing rates. This results have significant implications on modeling aseismic creep of carbonate fault zones having multiple fault mirror patches.
DOI: 10.4121/14634021
title: Data resulting from slide-hold-slide friction experiments on three types of carbonate faults rocks.

description: This data set is corresponding to the Park, Y., Hirose, T., and Ree, JH, "<em>Carbonate fault mirrors with extremely low frictional healing rates: A possible source of aseismic creep</em>" Geophysical Research Letters, 2021. The data set shows that carbonate fault mirrors have significantly low (near-zero) frictinoal healing rates, while newly formed gouges and gouges generated from destroyed fault mirrors have high frictional healing rates. This results have significant implications on modeling aseismic creep of carbonate fault zones having multiple fault mirror patches.
DOI: 10.4121/14619222.v1
title: Data underlying the publication: Dominantly Aseismic Nucleation of Laboratory Earthquakes: A Quantitative Investigation

description: This dataset provides all the data that were used to produce the results presented in the following study: "Dominantly Aseismic Nucleation of Laboratory Earthquakes: A Quantitative Investigation". The data are composed of mechanical data and acoustic data and were collected during stick-slip experiments conducted on cylindrical samples of Indian metagabbro. In this study we used acoustic emissions prior to stick-slip instabilities as a proxy to foreshocks prior to earthquakes.
DOI: 10.4121/14619222
title: Data underlying the publication: Dominantly Aseismic Nucleation of Laboratory Earthquakes: A Quantitative Investigation

description: This dataset provides all the data that were used to produce the results presented in the following study: "Dominantly Aseismic Nucleation of Laboratory Earthquakes: A Quantitative Investigation". The data are composed of mechanical data and acoustic data and were collected during stick-slip experiments conducted on cylindrical samples of Indian metagabbro. In this study we used acoustic emissions prior to stick-slip instabilities as a proxy to foreshocks prior to earthquakes.
DOI: 10.4121/14618607
title: Terrestrial water storage changes in the northeastern Tibetan Plateau

description: The dataset contents the time series of total terrestrial water storage and surface water storage
DOI: 10.4121/14483220
title: Supplementary data for the paper 'What makes a good driver on public roads and race tracks? An interview study'

description: Future vehicles may drive automatically in a human-like manner or contain systems that monitor human driving ability. Algorithms of these systems must have knowledge of criteria of good and safe driving behavior with regard to different driving styles. In the current study, interviews were conducted with 30 drivers, including driving instructors, engineering, and race drivers. The participants were asked to describe good driving on public roads and race tracks, and in some questions were supported with video material. The results were interpreted with the help of Endsley’s model of situation awareness. The interviews showed that there were clear differences between what was considered good driving on the race track and good driving on the public road, where for the former, the driver must touch the limit of the vehicle, whereas, for the latter, the limit should be avoided. However, in both cases, a good driver was characterized by self-confidence, lack of stress, and not being aggressive. Furthermore, it was mentioned that the driver’s posture and viewing behavior are essential components of good driving, which affect the driver’s prediction of events and execution of maneuvers. The implications of our findings for the development of automation technology are discussed. In particular, we see potential in driver posture estimation and argue that automated vehicles excel in perception but may have difficulty making predictions.<br>
DOI: 10.4121/14602308
title: Leukaemia-1 dataset includes the bone marrow samples

description: The Leukemia dataset includes the bone marrow samples obtained from acute leukemia patients at the time of diagnosis: 25 acute myeloid leukemia (AML) samples and 47 acute lymphoblastic leukemia (ALL) <br>
DOI: 10.4121/14501097
title: Circular Wood 4 the Neighborhood

description: This research aims to develop a robotic milling strategy to produce wooden beams. These beams are designed using computational strategies which use structural analysis to inform the geometry of the beam. The geometry is then packed in wooden elements which originate from a demolished building. These elements are glued together according to the packing strategy and are robotically milled to form the designed beam.
DOI: 10.4121/13643684.v1
title: Supplementary information for the publication: Influence of soapstone waste on the mechanical and rheological properties of HDPE

description: Soapstone waste was characterized through X-Ray diffraction, automated image analysis, FTIR and Raman spectroscopy. The waste was used as filler in high-density polyethylene composites. The composites with different filler fractions were characterized by tensile testing and rheology analysis.
DOI: 10.4121/14573526
title: Soil organic carbon stock and uncertainties, 1m depth, at 250m spatial resolution in Canada

description: This project aimed to produce the first wall-to-wall estimate of C stocks in plants and soils of Canada at 250 m spatial resolution. This dataset contains the map with the soil organic carbon (SOC) in kg/m² for entire Canada in 1m depth, and the uncertainty in SOC predictions. The SOC stock map was produced using 6,533 ground soil samples, long-term climate data, remote sensing observations and a machine learning model. The soil samples containing the x and y coordinates, depth and SOC (in g/kg) information were overlaid with the stacked covariates (soil forming factors) to compose the regression matrix. Random forest models were trained using a recursive feature elimination scheme and a cross-validation assessment. The best model was used for spatial prediction of SOC over Canada in intermediate depths between 0 and 1 m. Afterwards, the SOC content maps were corrected with bulk density and coarse fragment information to compute the total carbon stock for each horizon. The horizons have been added to compose the 0-1m depth interval multiplied by root depths fraction to discount shallow soils. Water and ice/snow areas were removed using a mask based on the Land Cover of Canada map. The SOC stock uncertainty map was built using the first and third quantiles of RF quantile regression approach.<br>
DOI: 10.4121/14573079.v1
title: Spatial distribution of maximum canopy height and heights percentiles in Canada at 250m spatial resolution

description: The canopy height maps were built to be included as covariates in the model to predict AGB in forest areas of Canada. We created wall-to-wall height metrics using ATL08 LiDAR products from the ICESat-2 satellite. The data was download for one-year period (October 2018 to October 2019). Points were filtered regarding solar background noise and atmospheric scattering, totaling 49,959 points distributed over the entire Canada. These points were associated with 10 ancillary variables primarily corresponding to structure information, such as seasonal Sentinel-1 VV and VH polarization, annual PALSAR-2 HH and HV polarization, annual clumping index, and also the MODIS NDVI summer season. Afterwards, the random forest algorithm was used to extrapolate ATL08 parameters and develop regression models with the abovementioned spatially continuous variables. The maximum height and height percentiles (h85 and h95) were estimated with an R<sup>2</sup> of approximately 0.61.<br>
DOI: 10.4121/14573079
title: Spatial distribution of maximum canopy height and heights percentiles in Canada at 250m spatial resolution

description: The canopy height maps were built to be included as covariates in the model to predict AGB in forest areas of Canada. We created wall-to-wall height metrics using ATL08 LiDAR products from the ICESat-2 satellite. The data was download for one-year period (October 2018 to October 2019). Points were filtered regarding solar background noise and atmospheric scattering, totaling 49,959 points distributed over the entire Canada. These points were associated with 10 ancillary variables primarily corresponding to structure information, such as seasonal Sentinel-1 VV and VH polarization, annual PALSAR-2 HH and HV polarization, annual clumping index, and also the MODIS NDVI summer season. Afterwards, the random forest algorithm was used to extrapolate ATL08 parameters and develop regression models with the abovementioned spatially continuous variables. The maximum height and height percentiles (h85 and h95) were estimated with an R<sup>2</sup> of approximately 0.61.<br>
DOI: 10.4121/14604330
title: Associated data underlying the article "Comparing open data benchmarks: which metrics and methodologies determine countries’ positions in the ranking lists?"

description: An understanding of the similar and divergent metrics and methodologies underlying open government data benchmarks can reduce the risks of the potential misinterpretation and misuse of benchmarking outcomes by policymakers, politicians, and researchers. Hence, this study aims <i>to compare the metrics and methodologies used to measure, benchmark, and rank governments' progress in open government data initiatives. </i>Using a critical meta-analysis approach, we compare nine benchmarks with reference to meta-data, meta-methods, and meta-theories. This study finds that both existing open government data benchmarks and academic open data progress models use a great variety of metrics and methodologies, although open data impact is not usually measured. While several benchmarks’ methods have changed over time, and variables measured have been adjusted, we did not identify a similar pattern for academic open data progress models. This study contributes to open data research in three ways: 1) it reveals the strengths and weaknesses of existing open government data benchmarks and academic open data progress models; 2) it reveals that the selected open data benchmarks employ relatively similar measures as the theoretical open data progress models; and 3) it provides an updated overview of the different approaches used to measure open government data initiatives’ progress. Finally, this study offers two practical contributions: 1) it provides the basis for combining the strengths of benchmarks to create more comprehensive approaches for measuring governments’ progress in open data initiatives; and 2) it explains why particular countries are ranked in a certain way. This information is essential for governments and researchers to identify and propose effective measures to improve their open data initiatives.
DOI: 10.4121/14602119.v1
title: Supplementary data to the article: Fracture sealing and its impact on percolation in the subsurface fracture networks: a simulation study.

description: This is the supplementary data to the article: Fracture sealing and its impact on percolation in the subsurface fracture networks: a simulation study.In this dataset, we provide all the synthetically generated data for the paper. We also provide the Matlab code to reproduce important figures in the paper. Detailed information about the dataset can be found in the README.txt file.
DOI: 10.4121/14602119
title: Supplementary data to the article: Fracture sealing and its impact on percolation in the subsurface fracture networks: a simulation study.

description: This is the supplementary data to the article: Fracture sealing and its impact on percolation in the subsurface fracture networks: a simulation study.In this dataset, we provide all the synthetically generated data for the paper. We also provide the Matlab code to reproduce important figures in the paper. Detailed information about the dataset can be found in the README.txt file.
DOI: 10.4121/14593857
title: Event log belonging to the publication: Process Mining-Enabled Jurimetrics: Analysis of a Brazilian Court's Judicial Performance in the Business Law Processing

description: Event log containing business 4,795 lawsuits distributed between January 1, 2018 and July 21, 2020 from the Court of Justice of the State of Sao Paulo, Brazil.<br>
DOI: 10.4121/14578944
title: Dataset underlying the MSc thesis 'Creating impactful standards: assessing the importance of RRI criteria on standards development'

description: Contains:Interview recordingsInterview transcriptsQuestionnaire FormBWM analyses BWM Results<br>Please also consult the README file for further information.
DOI: 10.4121/14152187.v1
title: Texel sand wave benthic community composition, data belonging to the paper: Small-scale macrobenthic community structure along asymmetrical sand waves in an underwater seascape.

description: The data presented here were collected onboard the NIOZ RV - Pelagia in June and October 2017. Bathymetric (multibeam), sediment and benthos samples were collected along an asymmetrical sand wave field 20 km to the west of island Texel.
DOI: 10.4121/14152187
title: Texel sand wave benthic community composition, data belonging to the paper: Small-scale macrobenthic community structure along asymmetrical sand waves in an underwater seascape.

description: The data presented here were collected onboard the NIOZ RV - Pelagia in June and October 2017. Bathymetric (multibeam), sediment and benthos samples were collected along an asymmetrical sand wave field 20 km to the west of island Texel.
DOI: 10.4121/14571606.v1
title: Data and analysis of SandMotor benthos

description: This dataset contains the R scripts, as well as the raw and intermediate data, used in the analysis of changes in the benthic life on and around the Sand Motor between 2010 and 2017.<br>The file read_me.txt gives details on the different files and directories contained in the data set.<br><br>We refer to Herman et al. 2021 Frontiers in Marine Science for further details and background of the analyses.<br><br>
DOI: 10.4121/14571606
title: Data and analysis of SandMotor benthos

description: This dataset contains the R scripts, as well as the raw and intermediate data, used in the analysis of changes in the benthic life on and around the Sand Motor between 2010 and 2017.<br>The file read_me.txt gives details on the different files and directories contained in the data set.<br><br>We refer to Herman et al. 2021 Frontiers in Marine Science for further details and background of the analyses.<br><br>
DOI: 10.4121/14571984.v1
title: Complete dataset for publication: Metal-ligand cooperative activation of HX (X=H, Br, OR) bond on Mn based pincer complexes

description: Complete dataset for the publication "Metal-ligand cooperative activation of HX (X=H, Br, OR) bond on Mn based pincer complexes " by Annika M. Krieger, Vivek Sinha, Adarsh V. Kalikadien, Evgeny A. Pidko in ZAAC (Zeitschrift für anorganische und allgemeine Chemie) <br>- data for all figures / tables in the main text- data for all figures / tables of the supporting information- xyz coordinates of all DFT- and xTB-optimized structures of Mn pincer complexes
DOI: 10.4121/14571984
title: Complete dataset for publication: Metal-ligand cooperative activation of HX (X=H, Br, OR) bond on Mn based pincer complexes

description: Complete dataset for the publication "Metal-ligand cooperative activation of HX (X=H, Br, OR) bond on Mn based pincer complexes " by Annika M. Krieger, Vivek Sinha, Adarsh V. Kalikadien, Evgeny A. Pidko in ZAAC (Zeitschrift für anorganische und allgemeine Chemie) <br>- data for all figures / tables in the main text- data for all figures / tables of the supporting information- xyz coordinates of all DFT- and xTB-optimized structures of Mn pincer complexes
DOI: 10.4121/13160423.v1
title: Complete dataset for publication: Robust and Efficient Hydrogenation of Carbonyl Compounds Catalysed by Mixed Donor Mn(I) Pincer Complexes

description: Complete set of data for the publiction "Robust and Efficient Hydrogenation of Carbonyl Compounds Catalysed by Mixed Donor Mn(I) Pincer Complexes"
DOI: 10.4121/13160423
title: Complete dataset for publication: Robust and Efficient Hydrogenation of Carbonyl Compounds Catalysed by Mixed Donor Mn(I) Pincer Complexes

description: Complete set of data for the publiction "Robust and Efficient Hydrogenation of Carbonyl Compounds Catalysed by Mixed Donor Mn(I) Pincer Complexes"
DOI: 10.4121/uuid:dfe80f20-2031-4d0c-a7f5-82a840248c20
title: Data underlying the research of: Improving forecast skill of lowland hydrological models using ensemble Kalman filter and unscented Kalman filter

description: research dataset underlying peer reviewed manuscript containing hydrological streamflow forecasts (using perfect forcing) covering a period of 10 years to determine the benefits of streamflow assimilation using the WALRUS hydrological model for a Dutch lowland area (Regge catchment)
DOI: 10.4121/12717392.v2
title: Data underlying the research of: Improving forecast skill of lowland hydrological models using ensemble Kalman filter and unscented Kalman filter

description: research dataset underlying peer reviewed manuscript containing hydrological streamflow forecasts (using perfect forcing) covering a period of 10 years to determine the benefits of streamflow assimilation using the WALRUS hydrological model for a Dutch lowland area (Regge catchment)
DOI: 10.4121/12717392
title: Data underlying the research of: Improving forecast skill of lowland hydrological models using ensemble Kalman filter and unscented Kalman filter

description: research dataset underlying peer reviewed manuscript containing hydrological streamflow forecasts (using perfect forcing) covering a period of 10 years to determine the benefits of streamflow assimilation using the WALRUS hydrological model for a Dutch lowland area (Regge catchment)
DOI: 10.4121/14557965
title: Retail Objects Affordance Dataset, underlying the MSc thesis: Object Affordance Detection for Mobile Manipulation in Retail Environments

description: Synthetically generated affordance dataset consisting of 3237 images with pixel-level annotations for either graspable or pushable affordance classes. Further, 204 annotated real images of similar scenarios are included.Images contain retail store related objects lying of supermarket floors, together with a semantic masks differentiating the object from the background.