cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5284/1083003
title: Culland Farm, South Wingfield, Derbyshire. Historic Building Recording. (OASIS ID: archaeol5-397731)

description: In January 2020, Archaeological Research Services Ltd were commissioned by Garner Holdings Ltd to undertake a historic building recording at Culland Farm, South Wingfield, Derbyshire. The building recording, which also included an intra-demolition watching brief of the farmhouse undertaken in May 2020, was undertaken to discharge conditions 3 and 4 of the planning permission (Application Ref. No.AVA/2019/0552) prior to partial demolition of the farmstead (dwelling and outbuilding) and renovation, converting the site into two residential units comprising ancillary accommodation, installation of a private sewage treatment plant and improvements of the access junction. Culland Farm in its present form comprises a mixture of farm buildings. By the early 19th century the complex was largely composed of a rectangular farmhouse (A.i), which is abutted by two barns along its eastern (A.ii and A.iii) extent. A number of the structures within the northern half of the farmstead complex, which include a former milking parlour, cow shed and piggery structure, also date to the 19th century. These have been remodelled in the 20th century, along with the addition of other farm structures within the southern part of the site.
DOI: 10.25934/00004526.1
title: IPD datapackage for study 'A Multicenter, Randomized, Double-Blind Study Comparing the Efficacy and Safety of Ixekizumab Dosing Regimens in Patients With Moderate-to-Severe Plaque Psoriasis' and research request: 'A Systematic Review to Describe the Demographic Diversity of Dermatologic Clinical Trial Participants for Common Dermatologic Diseases'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.6084/m9.figshare.13153619
title: IDFM_DATA.xlsx

description: This data is used for the simulation of a proposes Manufacturing System for Mass Personalisation that is to be published in the International Journal of Computer Integrated Manufacturing. Titled: Towards Engineering Manufacturing Systems for Mass Personalisation: A Stigmergic Approach
DOI: 10.6084/m9.figshare.13153619.v1
title: IDFM_DATA.xlsx

description: This data is used for the simulation of a proposes Manufacturing System for Mass Personalisation that is to be published in the International Journal of Computer Integrated Manufacturing. Titled: Towards Engineering Manufacturing Systems for Mass Personalisation: A Stigmergic Approach
DOI: 10.5281/zenodo.3667715
title: PsPM-VIS: SCR, ECG, respiration and eyetracker measurements in a delay fear conditioning task with visual CS and electrical US

description: This dataset consists of a three-block experiment conducted with 29 healthy unmedicated participants (17 females and 12 males aged 25.3 +/- 3.7). The experiment contains a classical (Pavlovian) discriminant delay fear conditioning test. CSs are 2 full-screen fractals of approximate brightness, contrast, and spatial frequency. US is a train of electric square pulses delivered with a constant current stimulator on participants' dominant forearm through a pin-cathod/ring-anode configuration. SOA between the CS and US is 3.5 s. The first 2 blocks are fear acquisition, with 15 CS+US+, 15 CS+US-, and 30 CS- in each block, and the last block is an extinction phase with 20 CS- and 20 CS+ trials without US delivery. The order of trials in each block was randomized. No fixation cross was presented during CS. ITI is randomly determined on each trial to be an integer between 7 - 11 s. During ITI, a black fixation cross was presented in the center of a grey background (RGB 0.7, 0.7, 0.7). The blocks were recorded on the same day with a self-paced break. For all three blocks this dataset contains skin conductance responses (SCR), electrocardyogram (ECG), respiration, pupil size (PSR), and gaze coordinates measurements.
description: This work was supported by: - the University of Zurich's Clinical Research Priority Program for the CRPP Synapse and Trauma - the European Research Council Consolidator Grant 816564 "ActionContraThreat" -the Wellcome Centre for Human Neuroimaging, funded by strategic grant from the Wellcome Trust 205103/Z/16/Z
DOI: 10.5445/ir/1000125319
title: GLORIA data for: Pollution trace gas distributions and their transport in the Asian monsoon upper troposphere and lowermost stratosphere during the StratoClim campaign 2017

description: We present the first high resolution measurements of pollutant trace gases in the Asian Summer Monsoon Upper Troposphere and Lowermost Stratosphere (UTLS) from the Gimballed Limb Observer for Radiance Imaging of the Atmosphere (GLORIA) during the StratoClim (Stratospheric and upper tropospheric processes for better climate predictions) campaign based in Kathamandu, Nepal, 2017. Measurements of peroxyacetyl nitrate (PAN), acetylene (C$_2$H$_2$), and formic acid (HCOOH) show strong local enhancements up to altitudes of 16 km. More than 500 pptv of PAN, more than 200 pptv of C$_2$H$_2$, and more than 200 pptv of HCOOH are observed.
DOI: 10.5281/zenodo.4147099
title: dictionaria/medialengua: Media Lengua dictionary

description: Stewart, Jesse (with Gabriela Prado Ayala, Lucia Gonza Inlago). 2020. Media Lengua dictionary. Dictionaria 12. 1-3216 (Available online at https://dictionaria.clld.org/contributions/medialengua)
DOI: 10.21961/mdm:41492
title: FFPAgainstCOVID

description: Coronaplasma Project, at the University of Münster. Online Screening. To be eligible all questions need to be answered with yes. Local ethics committee approval: AZ 2020-220-f-S
DOI: 10.21227/gk31-fr86
title: Drone Motion Primitive Dataset

description: Drone technology is one of the largest tackled fields in today’s world, as it can range from pure enjoyment of drone racing to medical use and fighting crime. Several teams are interested in developing improved human machine interfaces for operating drones. This dataset is a collection of different motion primitives commanded using a PS3 joystick to control an Ardrone on Gazebo. This has been conducted using ROS Melodic on Ubuntu 18.04. The PS3 six-axis joystick was used to collect this data, and it was connected to the Gazebo drone by using the ArDrone Helpers libraries.This dataset contains 4 different motion primitives which are: Line, Helix, Sine, and Arc. The testing was conducted on each primitive alone and using a stop indicator, which is specified for each primitive, at the end of each primitive. The stop indicators are as follows:· X for Sine· Circle for Helix· Square for Line· Triangle for ArcThen a collection of every two primitives consecutively was also conducted (i.e. line to helix, arc to line, helix to sine …) using the same stop indictors at the end of every corresponding primitive. Each test has around 300 to 500 samples. It is also important to note that our data is sample and hold, meaning that if the joystick’s analog stick is in a certain position for a few seconds, then it will not send any new samples for the velocities.The data was extracted into a .YAML file, as continuous commands from the joystick which were used to move the drone in Gazebo. They are then parsed (using python 2.7) to extract the velocities of the drone along the x y z axes as well as the pressed buttons (x or circle or square or triangle) into a .CSV file.This parsed data is further processed (using python3) into another .CSV file containing all the velocities as arrays, a histogram to get the average number of samples for every sequence, and a .RTF file which contains some analysis for each primitive or collection of primitives (number of samples taken, min and max sequence size, mean, median, and deviation).N.B: for the sine primitive, the data has been extracted into two categories: one where the sine was along the x-y axes and another where it was along the x-z or y-z axes. The github link for the two codes used is: https://github.com/justinelhalabi/PS3-Joystick-Command-Parsing-into-CSV
DOI: 10.21227/ff8m-fr60
title: A Scalable Many-Objective Pathfinding Benchmark Suite

description: Route planning also known as pathfinding is one of the key elements in logistics, mobile robotics and other applications, where engineers face many conflicting objectives. However, most of the current route planning algorithms consider only up to three objectives. In this paper, we propose a scalable many-objective benchmark problem covering most of the important features for routing applications based on real-world data. We define five objective functions representing distance, traveling time, delays caused by accidents, and two route specific features such as curvature and elevation. We analyse several different instances for this test problem and provide their true Pareto-front to analyse the problem difficulties. We apply three well-known evolutionary multi-objective algorithms. Since this test benchmark can be easily transferred to real-world routing problems, we construct a routing problem from OpenStreetMap data. We evaluate the three optimisation algorithms and observe that we are able to provide promising results for such a real-world application. The proposed benchmark represents a scalable many-objective route planning optimisation problem enabling researchers and engineers to evaluate their many-objective approaches. This dataset provides the obtained reference fronts from the exhaustive search on the benchmark instances.
DOI: 10.21227/bck7-yb31
title: A Scalable Many-Objective Pathfinding Benchmark Suite

description: Route planning also known as pathfinding is one of the key elements in logistics, mobile robotics and other applications, where engineers face many conflicting objectives. However, most of the current route planning algorithms consider only up to three objectives. In this paper, we propose a scalable many-objective benchmark problem covering most of the important features for routing applications based on real-world data. We define five objective functions representing distance, traveling time, delays caused by accidents, and two route specific features such as curvature and elevation. We analyse several different instances for this test problem and provide their true Pareto-front to analyse the problem difficulties. We apply three well-known evolutionary multi-objective algorithms. Since this test benchmark can be easily transferred to real-world routing problems, we construct a routing problem from OpenStreetMap data. We evaluate the three optimisation algorithms and observe that we are able to provide promising results for such a real-world application. The proposed benchmark represents a scalable many-objective route planning optimisation problem enabling researchers and engineers to evaluate their many-objective approaches. This dataset provides the obtained reference fronts from the exhaustive search on the benchmark instances.
DOI: 10.21227/nsmx-0812
title: Scalable Many-Objective Pathfinding Benchmark Suite Pareto-fronts and Sets

description: Route planning also known as pathfinding is one of the key elements in logistics, mobile robotics and other applications, where engineers face many conflicting objectives. However, most of the current route planning algorithms consider only up to three objectives. In this paper, we propose a scalable many-objective benchmark problem covering most of the important features for routing applications based on real-world data. We define five objective functions representing distance, traveling time, delays caused by accidents, and two route specific features such as curvature and elevation. We analyse several different instances for this test problem and provide their true Pareto-front to analyse the problem difficulties. We apply three well-known evolutionary multi-objective algorithms. Since this test benchmark can be easily transferred to real-world routing problems, we construct a routing problem from OpenStreetMap data. We evaluate the three optimisation algorithms and observe that we are able to provide promising results for such a real-world application. The proposed benchmark represents a scalable many-objective route planning optimisation problem enabling researchers and engineers to evaluate their many-objective approaches. This dataset provides the obtained reference fronts from the exhaustive search on the benchmark instances.
DOI: 10.5281/zenodo.4095396
title: Water temperature and discharge at monitoring station along the Rhine

description: We provide daily average water temperatures and discharge at following Rhine monitoring stations:<br> Basel; Worms; Koblenz; Cologne.<br> We provide the yearly heat input from Nuclear power plants between following stations:<br> upstream Basel; between Basel and Worms; between Worms and Koblenz; between Koblenz and Cologne.<br> We provide the calculated catchment wide air temperature, described in the paper https://doi.org/10.5194/hess-2019-518<br> The data is connected to the publication:<br> Anthropogenic Influence on the Rhine water temperatures<br> https://doi.org/10.5194/hess-24-5027-2020
description: The project was funded by the budget of the Federal Institute of Hydrology Germany, which is part of the Federal Ministry of Transport and Digital Infrastructure Germany.
DOI: 10.5281/zenodo.4095369
title: Water temperature and discharge at monitoring station along the Rhine

description: We provide daily average water temperatures and discharge at following Rhine monitoring stations:<br> Basel; Worms; Koblenz; Cologne.<br> We provide the yearly heat input from Nuclear power plants between following stations:<br> upstream Basel; between Basel and Worms; between Worms and Koblenz; between Koblenz and Cologne.<br> We provide the calculated catchment wide air temperature, described in the paper https://doi.org/10.5194/hess-2019-518<br> The data is connected to the publication:<br> Anthropogenic Influence on the Rhine water temperatures<br> https://doi.org/10.5194/hess-24-5027-2020
description: The project was funded by the budget of the Federal Institute of Hydrology Germany, which is part of the Federal Ministry of Transport and Digital Infrastructure Germany.
DOI: 10.5281/zenodo.4126999
title: CO2 absorption coefficients (ABSCO) tables for the 4700 to 5100 cm-1 region using Voigt profile accounting for the line-mixing

description: The attached files include the calculated absorption coefficient (in cm-1) for the 4700 to 5100 wavenumber region when using the Voigt profile accounting for the line-mixing parameter. The structure of the tables is as follows: Col 1- Wavenumber (in cm-1) Col 2- Absorption coefficient using the Voigt profile Col 3- Absorption coefficient using the Voigt profile including the first-order line-mixing Col 4- Absorption coefficient using the Voigt profile including the full line-mixing The JSON files contain the calculation conditions such as pressure, temperature, and mixing ratios of CO2 with a unique ID referring to the specific table. We note that for the Q branch lines and denser regions, the use of the first-order line-mixing is not effective in obtaining the absorption coefficient and the use of full line-mixing is recommended. For more information on how the calculation is performed, see ref. [JQSRT 151, 88 (2015)].
description: {"references": ["JQSRT 151, 88 (2015)"]}
DOI: 10.5281/zenodo.3942157
title: CO2 absorption coefficients (ABSCO) tables for the 4700 to 5100 cm-1 region using Voigt profile accounting for the line-mixing

description: The attached files include the calculated absorption coefficient (in cm-1) for the 4700 to 5100 wavenumber region when using the Voigt profile accounting for the line-mixing parameter. The structure of the tables is as follows: Col 1- Wavenumber (in cm-1) Col 2- Absorption coefficient using the Voigt profile Col 3- Absorption coefficient using the Voigt profile including the first-order line-mixing Col 4- Absorption coefficient using the Voigt profile including the full line-mixing The JSON files contain the calculation conditions such as pressure, temperature, and mixing ratios of CO2 with a unique ID referring to the specific table. We note that for the Q branch lines and denser regions, the use of the first-order line-mixing is not effective in obtaining the absorption coefficient and the use of full line-mixing is recommended. For more information on how the calculation is performed, see ref. [JQSRT 151, 88 (2015)].
description: {"references": ["JQSRT 151, 88 (2015)"]}
DOI: 10.21227/a8gz-xt75
title: Drone Motion Primitive Dataset

description: Drone technology is one of the largest tackled fields in today’s world, as it can range from pure enjoyment of drone racing to medical use and fighting crime. Several teams are interested in developing improved human machine interfaces for operating drones. This dataset is a collection of different motion primitives commanded using a PS3 joystick to control an Ardrone on Gazebo. This has been conducted using ROS Melodic on Ubuntu 18.04. The PS3 six-axis joystick was used to collect this data, and it was connected to the Gazebo drone by using the ArDrone Helpers libraries.This dataset contains 4 different motion primitives which are: Line, Helix, Sine, and Arc. The testing was conducted on each primitive alone and using a stop indicator, which is specified for each primitive, at the end of each primitive. The stop indicators are as follows:· X for Sine· Circle for Helix· Square for Line· Triangle for ArcThen a collection of every two primitives consecutively was also conducted (i.e. line to helix, arc to line, helix to sine …) using the same stop indictors at the end of every corresponding primitive. Each test has around 300 to 500 samples. It is also important to note that our data is sample and hold, meaning that if the joystick’s analog stick is in a certain position for a few seconds, then it will not send any new samples for the velocities.The data was extracted into a .YAML file, as continuous commands from the joystick which were used to move the drone in Gazebo. They are then parsed (using python 2.7) to extract the velocities of the drone along the x y z axes as well as the pressed buttons (x or circle or square or triangle) into a .CSV file.This parsed data is further processed (using python3) into another .CSV file containing all the velocities as arrays, a histogram to get the average number of samples for every sequence, and a .RTF file which contains some analysis for each primitive or collection of primitives (number of samples taken, min and max sequence size, mean, median, and deviation).N.B: for the sine primitive, the data has been extracted into two categories: one where the sine was along the x-y axes and another where it was along the x-z or y-z axes. The github link for the two codes used is: https://github.com/justinelhalabi/PS3-Joystick-Command-Parsing-into-CSV
DOI: 10.6084/m9.figshare.13153826
title: Supplementary Material for: The Real Impact of Bridging or Downstaging on Survival Outcomes after Liver Transplantation for Hepatocellular Carcinoma

description: <b><i>Introduction:</i></b> There is no consensus regarding selection criteria on liver transplantation (LT) for hepatocellular carcinoma (HCC), especially for living donor liver transplantation, although emerging evidence has been found for the effectiveness of bridging or downstaging. <b><i>Objective:</i></b> We evaluated the long-term outcomes of patients who underwent LT with or without bridging or downstaging for HCC. <b><i>Methods:</i></b> This retrospective study included 896 LT recipients with HCC between June 2005 and May 2015. Recurrence-free survival (RFS), overall survival (OS), and their associated factors were evaluated. <b><i>Results:</i></b> The 5-year RFS in the full cohort of 896 patients was 82.4%, and the OS was 85.3%. In patients with initial Organ Procurement and Transplantation Network (OPTN) T1 and T2, the 5-year RFS and OS did not significantly differ between LT groups with and without bridging (all <i>p</i> ≥ 0.05). The 5-year RFS and OS of OPTN T3 patients with successful downstaging were not significantly different from those of patients with OPTN T2 with primary LT (<i>p</i> = 0.070 and <i>p</i> = 0.185), but were significantly higher than in patients with OPTN T3 with downstaging failure and initial OPTN T1 or T2 with progression (all <i>p</i> &lt; 0.001). In the multivariate analysis, last alpha-fetoprotein before LT ≥70 ng/mL (hazard ratio [HR]: 1.77, <i>p</i> = 0.001; HR: 1.72, <i>p</i> = 0.004), pretransplant HCC status exceeding the Milan criteria (HR: 5.12, <i>p</i> &lt; 0.001; HR: 3.31, <i>p</i> &lt; 0.001), and positron emission tomography positivity (HR: 2.57, <i>p</i> &lt; 0.001; HR: 2.57, <i>p</i> &lt; 0.001) were independent predictors for worse RFS and OS. <b><i>Conclusions:</i></b> The impact of bridging therapy on survival outcomes is limited in patients with early-stage HCC, whereas OPTN T1 or T2 with progression provides worse prognosis. OPTN T3 should undergo LT after successful downstaging, and OPTN T3 with successful downstaging allows for acceptable long-term posttransplant outcomes.
DOI: 10.5281/zenodo.4147112
title: Wave propagation in infinituple-porosity media

description: These data are the P-wave velocity and 1/Q as a function of frequency for self-similar (<em>D<sub>f </sub></em>= 2 and 3) , exponential (\(\theta\)= 10<sup>0</sup> and 10<sup>-2</sup>) and Gaussian distributions (\(\sigma_{r}^2\)=4.0 and 0.5) of the inclusions.
DOI: 10.5281/zenodo.4147111
title: Wave propagation in infinituple-porosity media

description: These data are the P-wave velocity and 1/Q as a function of frequency for self-similar (<em>D<sub>f </sub></em>= 2 and 3) , exponential (\(\theta\)= 10<sup>0</sup> and 10<sup>-2</sup>) and Gaussian distributions (\(\sigma_{r}^2\)=4.0 and 0.5) of the inclusions.
DOI: 10.5281/zenodo.4147124
title: RNA-sequencing of thymocyte populations after culture with IL-7 or IL-15

description: LB-1: TCRgd+ CD1a- cells sorted from human postnatal thymus at day 0<br> LB-2: CD3+ TCRgd- CD4- CD8a+ CD10- PD1- CD1a- sorted from human postnatal thymus at day 0<br> LB-3: CD3+ TCRgd- CD4- CD8a+ CD10+ PD1+ CD1a- sorted from human postnatal thymus at day 0 LB-5: TCRgd+ cells from human postnatal thymus cultured with IL-15 (10ng/mL) for 11 days<br> LB-6: CD10- PD1- cells from human postnatal thymus cultured with IL-7 (10ng/mL) for 11 days<br> LB-7: CD10+ PD1+ cells from human postnatal thymus cultured with IL-15 (10ng/mL) for 11 days
DOI: 10.5281/zenodo.4147123
title: RNA-sequencing of thymocyte populations after culture with IL-7 or IL-15

description: LB-1: TCRgd+ CD1a- cells sorted from human postnatal thymus at day 0<br> LB-2: CD3+ TCRgd- CD4- CD8a+ CD10- PD1- CD1a- sorted from human postnatal thymus at day 0<br> LB-3: CD3+ TCRgd- CD4- CD8a+ CD10+ PD1+ CD1a- sorted from human postnatal thymus at day 0 LB-5: TCRgd+ cells from human postnatal thymus cultured with IL-15 (10ng/mL) for 11 days<br> LB-6: CD10- PD1- cells from human postnatal thymus cultured with IL-7 (10ng/mL) for 11 days<br> LB-7: CD10+ PD1+ cells from human postnatal thymus cultured with IL-15 (10ng/mL) for 11 days
DOI: 10.18112/openneuro.ds002748.v1.0.2
title: Resting state with closed eyes for patients with depression and healthy participants