cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25387/g3.12001344.v1
title: Supplemental Material for Baker et al., 2020

description: These files are the genotyping datasets that were used to perform the analyses in Baker et al. 2020. The filesets represent individuals that were recruited from University of Wisconsin-Madison and from Cornell University. Filesets that include 0.7 in the filename have been pruned for LD at r<sup>2</sup> greater than or equal to 0.7. This file contains the code used for all genomic prediction analyses in R markdown .htm format.
DOI: 10.25919/5ed8aa680bd07
title: Parkes observations for project P1054 semester 2020APRS_02

description: With this proposal we ask time to begin a follow-up campaign of potential new discoveries from the TRAPUM (TRAnsients and PUlsars with Meerkat) survey, which is due to start in January 2020. About 10 new pulsars are expected to be found during the first semester of operations, in targeted pointings towards supernova remnants, pulsar wind nebulae and Fermi unidentified point sources. Timing observations have an essential role in exploiting the full potential of any pulsar discovery, allowing the precise measurement of rotational, astrometric and orbital parameters which, in turn, give us powerful tools to improve our understanding of the physics in extreme environments as well as of the population of neutron stars as a whole. The UWL receiver of the Parkes telescope is a sensitive, versatile instrument that will allow us to successfully time the bright-end of TRAPUM discoveries. We here request (up to) 2-hr long monthly observations of any new TRAPUM pulsar with a flux density at 1.4 GHz above $\sim 60 \mu$Jy.
DOI: 10.7910/dvn/xkbvga/wxehum
title: 19ja010_archival_manuscript.pdf
DOI: 10.14457/tu.res.2009.224
title: การวางแผนการผลิตโดยวิธีโปรแกรมเชิงเส้น :
DOI: 10.14457/tu.res.2009.225
title: aการรับรู้ ทัศนคติ และพฤติกรรมของผู้บริโภคต่ออาหารสร้างเสริมสุขภาพในเขตกรุงเทพมหานคร :
DOI: 10.14457/tu.res.2009.226
title: การศึกษาใช้การหยั่งรู้อุบัติเหตุล่วงหน้า (KYT) ในกรณีศึกษา บริษัทคิริว ไทยแลนด์ จำกัด
DOI: 10.18112/openneuro.ds002882.v1.0.0
title: DBS Phantom Recordings
DOI: 10.21227/hvs1-bb07
title: MIT DriveSeg (Manual) Dataset

description: Semantic scene segmentation has primarily been addressed by forming representations of single images both with supervised and unsupervised methods. The problem of semantic segmentation in dynamic scenes has begun to recently receive attention with video object segmentation approaches. What is not known is how much extra information the temporal dynamics of the visual scene carries that is complimentary to the information available in the indi- vidual frames of the video. We provide the MIT DriveSeg dataset, which is a large-scale driving scene segmentation dataset, densely annotated for every pixel and every one of 5,000 video frames. The purpose of this dataset is to allow for exploration of the value of temporal dynamics information for full scene segmentation in dynamic, real-world operating environments.
DOI: 10.21227/qrmm-7d37
title: MIT DriveSeg (Manual) Dataset

description: Semantic scene segmentation has primarily been addressed by forming representations of single images both with supervised and unsupervised methods. The problem of semantic segmentation in dynamic scenes has begun to recently receive attention with video object segmentation approaches. What is not known is how much extra information the temporal dynamics of the visual scene carries that is complimentary to the information available in the individual frames of the video. We provide the MIT DriveSeg dataset, which is a large-scale driving scene segmentation dataset, densely annotated for every pixel and every one of 5,000 video frames. The purpose of this dataset is to allow for exploration of the value of temporal dynamics information for full scene segmentation in dynamic, real-world operating environments.
DOI: 10.5281/zenodo.3876443
title: jinshijian/ESSD: SRDB-V5 first release

description: This is the first release of SRDB-V5
DOI: 10.14457/tu.res.2009.227
title: การศึกษาถึงปัจจัยสำคัญที่ส่งผลกระทบต่อการยอมรับในการใช้บริการชำระค่าสินค้าหรือบริการผ่านระบบ Touch SIM
DOI: 10.14457/tu.res.2009.228
title: ปัจจัยความสำเร็จของชุมชนเสมือนจริงเพื่อสร้างความสัมพันธ์ :
DOI: 10.14457/tu.res.2009.229
title: การจัดการความรู้ของศูนย์เรียนรู้เครือข่ายปราชญ์ชาวบ้าน กระทรวงเกษตรและสหกรณ์ :
DOI: 10.21227/427g-2d66
title: Robot Dynamics Identification

description: This matlab code allows to reproduce some of the constrained and unconstrained dynamic identification techniques for open-chain robots. Below you can find an summary of the underlying research."Identification of dynamic parameters of robots is a long standing topic in robot control. Recently, the research witnessed a renewal of the activity due to some interesting results concerning issues involving the physical consistency of the obtained parameters leading to constraints, for instance, on mass, first moment of mass and inertia matrix of each rigid link of the robot. This is motivated by high performance required by model-based control of, for example, legged or surgical robots and to obtain realistic simulations of the same systems. The objective of this article is twofold. First, we review and experimentally compare on a Jaco 7 Degrees of Freedom anthropomorphic arm the latest results on the identification of the dynamic parameters which range from Least Mean Squares to constrained non-linear optimisation and Linear-Matrix-Inequality Semi-Definite-Programming methods. Second, motivated by the increasing attention paid to measurable robotics and for the sake of reproducibility, data and code (which can be easily adapted to consider any open-chain manipulator) are made available to the community for improvement and to run further comparisons. As indirect but not less important contribution, this paper provides a first physical fully consistent identified rigid dynamic model of theJaco robot publicly made available to the robotic community."
DOI: 10.5281/zenodo.3876444
title: z-sh/fse20: Replication package for paper#133 - Gender Bias in Code Review

description: The replication package for paper#133 - Gender Bias in Code Review written by Huang et. al.
DOI: 10.5281/zenodo.3876445
title: z-sh/fse20: Replication package for paper#133 - Gender Bias in Code Review

description: The replication package for paper#133 - Gender Bias in Code Review written by Huang et. al.
DOI: 10.21227/gjd9-d097
title: Robot Dynamics Identification

description: This matlab code allows to reproduce some of the constrained and unconstrained dynamic identification techniques for open-chain robots. Below you can find an summary of the underlying research."Identification of dynamic parameters of robots is a long standing topic in robot control. Recently, the research witnessed a renewal of the activity due to some interesting results concerning issues involving the physical consistency of the obtained parameters leading to constraints, for instance, on mass, first moment of mass and inertia matrix of each rigid link of the robot. This is motivated by high performance required by model-based control of, for example, legged or surgical robots and to obtain realistic simulations of the same systems. The objective of this article is twofold. First, we review and experimentally compare on a Jaco 7 Degrees of Freedom anthropomorphic arm the latest results on the identification of the dynamic parameters which range from Least Mean Squares to constrained non-linear optimisation and Linear-Matrix-Inequality Semi-Definite-Programming methods. Second, motivated by the increasing attention paid to measurable robotics and for the sake of reproducibility, data and code (which can be easily adapted to consider any open-chain manipulator) are made available to the community for improvement and to run further comparisons. As indirect but not less important contribution, this paper provides a first physical fully consistent identified rigid dynamic model of theJaco robot publicly made available to the robotic community."
DOI: 10.5281/zenodo.3876257
title: Linked COVID-19 Data: Geometries

description: Linked COVID-19 <strong>Geometries</strong> maintained at https://github.com/Research-Squirrel-Engineers/COVID-19 data origin by countries: data by https://github.com/AshKyd/geojson-regions extracted by https://geojson-maps.ash.ms/ federal states: https://gdz.bkg.bund.de/index.php/default/open-data/verwaltungsgebiete-1-2-500-000-stand-01-01-vg2500.html Verwaltungsgebiete 1:2 500 000, Stand 01.01. (VG2500)
DOI: 10.5281/zenodo.3877193
title: All ChemCam data and corrected Li data

description: Supplementary data for JGR manuscript "Boron and Lithium in Calcium Sulfate Veins: Tracking Precipitation of Diagenetic Materials in Vera Rubin Ridge, Gale Crater". Excel files contain all LIBS data collected by the Curiosity rover between sol 1-2311 and corrected Li data for vein targets.
DOI: 10.5281/zenodo.3876256
title: Linked COVID-19 Data: Geometries

description: Linked COVID-19 <strong>Geometries</strong> maintained at https://github.com/Research-Squirrel-Engineers/COVID-19 data origin by countries: data by https://github.com/AshKyd/geojson-regions extracted by https://geojson-maps.ash.ms/ federal states: https://gdz.bkg.bund.de/index.php/default/open-data/verwaltungsgebiete-1-2-500-000-stand-01-01-vg2500.html Verwaltungsgebiete 1:2 500 000, Stand 01.01. (VG2500)
DOI: 10.5281/zenodo.3877192
title: All ChemCam data and corrected Li data

description: Supplementary data for JGR manuscript "Boron and Lithium in Calcium Sulfate Veins: Tracking Precipitation of Diagenetic Materials in Vera Rubin Ridge, Gale Crater". Excel files contain all LIBS data collected by the Curiosity rover between sol 1-2311 and corrected Li data for vein targets.
DOI: 10.21227/ya8d-4368
title: H2Arm - BSP vs PID experiments

description: Many different methods have been proposed in the control and robotics literature for the control of robotics arms. Our main aim is to provide a complete software and hardware platform which allow the statistical replication of our results and the experimentation of other more or less sophisticated control strategies and algorithms.In our work, in order to validate our reproducible research platform and provide a template methodology for its usage, we have thoroughly compared in a reproducible way the performance of simple BSP and PID controls when applied to a light-weight, low accuracy and compliant open source robot arm (H2Arm). BSP significantly outperforms PID on this platform, but not w.r.t. to all metrics.The findings are interesting by themselves. They also show how easily statistically weak results can lead to qualitatively wrong conclusions, if you cherry-pick results.The present dataset contains: i) CAD design to 3D-print the H2Arm; ii) experimental data of comparison BSP vs PID; iii) all the code used to perform the experiments (both BSP and PID).
DOI: 10.25345/c57q66
title: MassIVE MSV000085546 - spectre tentative identification P70
title: spectre tentative identification P70 spectre tentative identification P70 spectre tentative identification P70
DOI: 10.5281/zenodo.3876886
title: Artifacts of Paper "Understanding and Discovering Software Configuration Dependencies in Cloud and Datacenter Systems"

description: This package contains all the artifacts (i.e. codes & datasets) we use in our paper "Understanding and Discovering Software Configuration Dependencies in Cloud and Datacenter Systems" accepted to FSE 2020.
DOI: 10.5281/zenodo.3876887
title: Artifacts of Paper "Understanding and Discovering Software Configuration Dependencies in Cloud and Datacenter Systems"

description: This package contains all the artifacts (i.e. codes & datasets) we use in our paper "Understanding and Discovering Software Configuration Dependencies in Cloud and Datacenter Systems" accepted to FSE 2020.
DOI: 10.21227/ry3p-ja71
title: MIT DriveSeg (Manual) Dataset

description: Semantic scene segmentation has primarily been addressed by forming representations of single images both with supervised and unsupervised methods. The problem of semantic segmentation in dynamic scenes has begun to recently receive attention with video object segmentation approaches. What is not known is how much extra information the temporal dynamics of the visual scene carries that is complimentary to the information available in the individual frames of the video. We provide the MIT DriveSeg dataset, which is a large-scale driving scene segmentation dataset, densely annotated for every pixel and every one of 5,000 video frames. The purpose of this dataset is to allow for exploration of the value of temporal dynamics information for full scene segmentation in dynamic, real-world operating environments.
DOI: 10.5285/8f94782a-87a1-4e54-a911-89aee1f15aea
title: Kongsvegen, Svalbard: late quiescent-stage glacier geometry and dynamics

description: This dataset consists of a bed DEM and four velocity maps of Kongsvegen, a surge-type glacier in Svalbard. The bed DEM was generated from ground-penetrating radar surveys in spring 2016 and 2018, and the velocity maps span the period Dec 2017 to Feb 2019. The velocity maps show the initial speed-up of the glacier as it transitions from quiescence to surge. Data acquisition was funded by NERC Urgency Grant NE/R018243/1 REBUS (Resolving Enthalpy Budget to Understand Surges).
description: The data used for generating the bed DEM comprise ice thickness measured with 5-MHz radar and surface elevations derived from concurrent differential GNSS measurements. The DEM was generated in Matlab using the interpolation scheme "gridfit" (D'Errico, 2010). The velocity maps were generated by feature-tracking pairs of Synthetic Aperture Radar (SAR) images acquired by the TerraSAR-X satellite operated by the German Space Agency DLR. Pairs of 'Stripmap Mode' images separated by 11 days (the satellite orbital cycle) from December 2017, March and April 2019, and February/March 2019 were acquired especially for the project. Velocity map dates are embedded within the filenames. Feature tracking was applied using the methods described in Luckman et al. (2015), which also explains the uncertainties in the measurements.
description: 5-MHz radar: National Instruments PXI controller and digital oscilloscope, Kentech pulse transmitter, 5 Mhz resistively loaded dipole antennas.
description: The ice thickness and bed elevation data are accurate to +/- 10 m. Uncertainties in ice surface velocity are estimated to be 0.4m per day, and comprise co-registration error (±0.2 pixels) and error arising from smoothing of the velocity field over the feature-tracking window size (400x400 m).
DOI: 10.6084/m9.figshare.1154011.v2
title: <i>Chrysanthemum boreale</i> Makino essential oil induces keratinocyte proliferation and skin regeneration
DOI: 10.6084/m9.figshare.1125776.v1
title: Using trait and phylogenetic diversity to evaluate the generality of the stress dominance hypothesis in eastern North American tree communities
DOI: 10.6084/m9.figshare.1127877.v1
title: Parking Management System
DOI: 10.6084/m9.figshare.1148886.v1
title: 21st August 2014 Penmaenmawr Promenade litter survey, North Wales
DOI: 10.6084/m9.figshare.1148891.v1
title: NATIONAL STATEMENT OF SCIENCE INVESTMENT DRAFT: Response from Rutherford Discovery Fellowship recipients (2010-2013)
DOI: 10.6084/m9.figshare.1159098.v1
title: High-resolution, near-infrared CW-CRDS, and <i>ab initio</i> investigations of N<sub>2</sub>O–HDO
DOI: 10.1594/wdcc/cmip5.cqmksc
title: CSIRO-Mk3-6-0 model output prepared for CMIP5 sstClim, served by ESGF

description: Project: IPCC Assessment Report 5 and Coupled Model Intercomparison Project data sets - These data belong to two projects: 1) to the Assessment Report No 5 of the International Panel on Climate Change (IPCC-AR5) and 2) to the Coupled Model Intercomparison Project No 5 (CMIP5). CMIP5 is executed by the Program for Climate Model Diagnosis and Intercomparison (PCMDI) on behalf of the World Climate Research Programme (WCRP). Most of the data is replicated between the three data nodes at the World Data Centre for Climate (WDCC), the British Atmospheric Data Centre (BADC), and the PCMDI. The project embraces the simulations with about 30 climate models of about 20 institutes worldwide. Summary: 'sstClim' is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 (https://pcmdi.llnl.gov/mips/cmip5). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 6.2a sstClim (6.2a Control SST Climatology) - Version 1: AMIP-style experiment with control run climatological SSTs and sea ice. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax (https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc.
DOI: 10.1594/wdcc/cmip5.cqmkss
title: CSIRO-Mk3-6-0 model output prepared for CMIP5 sstClimSulfate, served by ESGF

description: Project: IPCC Assessment Report 5 and Coupled Model Intercomparison Project data sets - These data belong to two projects: 1) to the Assessment Report No 5 of the International Panel on Climate Change (IPCC-AR5) and 2) to the Coupled Model Intercomparison Project No 5 (CMIP5). CMIP5 is executed by the Program for Climate Model Diagnosis and Intercomparison (PCMDI) on behalf of the World Climate Research Programme (WCRP). Most of the data is replicated between the three data nodes at the World Data Centre for Climate (WDCC), the British Atmospheric Data Centre (BADC), and the PCMDI. The project embraces the simulations with about 30 climate models of about 20 institutes worldwide. Summary: 'sstClimSulfate' is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 (https://pcmdi.llnl.gov/mips/cmip5). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 6.4b sstClimSulfate (6.4b sulfate aerosol forcing) - Version 1: AMIP-style experiment with control run climatological SSTs and sea ice (as in expt. 6.2a) but with aerosols consistent with conditions in year 2000 of the historical run (expt. 3.2) Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax (https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc.
DOI: 10.1594/wdcc/cmip5.cqmkam
title: CSIRO-Mk3-6-0 model output prepared for CMIP5 amip, served by ESGF

description: Project: IPCC Assessment Report 5 and Coupled Model Intercomparison Project data sets - These data belong to two projects: 1) to the Assessment Report No 5 of the International Panel on Climate Change (IPCC-AR5) and 2) to the Coupled Model Intercomparison Project No 5 (CMIP5). CMIP5 is executed by the Program for Climate Model Diagnosis and Intercomparison (PCMDI) on behalf of the World Climate Research Programme (WCRP). Most of the data is replicated between the three data nodes at the World Data Centre for Climate (WDCC), the British Atmospheric Data Centre (BADC), and the PCMDI. The project embraces the simulations with about 30 climate models of about 20 institutes worldwide. Summary: 'amip' is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 (https://pcmdi.llnl.gov/mips/cmip5). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 3.3 amip (3.3 AMIP) - Version 1: AMIP (1979 - at least 2008). Impose SSTs and sea ice from observations but with other conditions as in experiment 3.2 historical. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax (https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc.
DOI: 10.1594/wdcc/cmip5.cqmkr6
title: CSIRO-Mk3-6-0 model output prepared for CMIP5 rcp60, served by ESGF

description: Project: IPCC Assessment Report 5 and Coupled Model Intercomparison Project data sets - These data belong to two projects: 1) to the Assessment Report No 5 of the International Panel on Climate Change (IPCC-AR5) and 2) to the Coupled Model Intercomparison Project No 5 (CMIP5). CMIP5 is executed by the Program for Climate Model Diagnosis and Intercomparison (PCMDI) on behalf of the World Climate Research Programme (WCRP). Most of the data is replicated between the three data nodes at the World Data Centre for Climate (WDCC), the British Atmospheric Data Centre (BADC), and the PCMDI. The project embraces the simulations with about 30 climate models of about 20 institutes worldwide. Summary: 'rcp60' is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 (https://pcmdi.llnl.gov/mips/cmip5). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 4.4 rcp60 (4.4 RCP6) - Version 1: Future projection (2006-2100) forced by RCP6. RCP6 is a representative concentration pathway which approximately results in a radiative forcing of 6 W m-2 at year 2100, relative to pre-industrial conditions. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax (https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc.