cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6687406
title: The segregation of recycled basaltic material within mantle plumes explains the detection of the X-Discontinuity beneath hotspots: 2D geodynamic simulations: Data

description: <pre>This repository accompanies the paper ``` The segregation of recycled basaltic material within mantle plumes explains the detection of the X-Discontinuity beneath hotspots: 2D geodynamic simulations by Martina Monaco, Juliane Dannberg, Rene Gassmoeller, Stephen Pugh ``` The global models presented in the manuscript were run using the following dependencies: ``` ----------------------------------------------------------------------------- -- This is ASPECT, the Advanced Solver for Problems in Earth's ConvecTion. -- . version 2.3.0-pre (master, 74e48be) -- . using deal.II 9.3.0 -- . with 32 bit indices and vectorization level 2 (256 bits) -- . using Trilinos 12.10.1 -- . using p4est 2.2.0 ----------------------------------------------------------------------------- ``` This repository contains: - The 'all_model_series' folder with the files used to analyze the depth averages. Each series (100, Aoki, Hefesto) has its own subfolder; - The 'plugins' folder, with the required plugin to run the models. To compile the plugin, navigate into this directory and follow the steps: 1. `cmake -D Aspect_DIR=PATH_TO_ASPECT` (replace `PATH_TO_ASPECT` with the directory where you compiled ASPECT). 2. `make` - The 'run_series' bash script, with the command to run multiple models at once. The user should modify: ° The input file name: INPUT_FILE=heterogeneity-several-blobs-INSERT-SERIES.prm ° The directory where ASPECT is located: srun --mpi=pmix_v2 $HOME/aspect/aspect-build/aspect --" echo -e $COMMAND | sbatch --job-name gs_${viscosity}_spacing_${blob_spacing} -p hpg2-compute -N 1 -n 32 -t 3-23:59:00 -o output_gs_${viscosity}_spacing_${blob_spacing}.%j -e error_gs_${viscosity}_spacing_${blob_spacing}.%j --constraint 'haswell|skylake' --mem-per-cpu '3gb' --distribution block; - The three parameter files (.prm), one per series; - Two .py files containing the scripts necessary to plot all the figures in the paper</pre>
DOI: 10.5281/zenodo.6702576
title: Supplemental data for submission "Bridging between LegalRuleML and TPTP for Automated Normative Reasoning"

description: These files are supplementary material to the submission<br> Bridging between LegalRuleML and TPTP for Automated Normative Reasoning<br> by<br> Alexander Steen and David Fuenmayor<br> submitted to the 6th International Joint Conference on Rules and Reasoning (RuleML+RR 2022), 2022. Files ex1.lrml.xml and ex2.lrml.xml are two example LegalRuleML files.<br> Files ex1.dsl.p and ex2.dsl.p are two examples from above translated to the NMF DSL.<br> The files ex1.output.X.p and ex2.output.X.p are the translations of the NMF files into the concrete logic X (X = SDL or X = cJ (Carmo Jones) or X = aqvist (system E)). Alexander Steen, &lt;alexander.steen@uni-greifswald.de&gt;
DOI: 10.5281/zenodo.6702575
title: Supplemental data for submission "Bridging between LegalRuleML and TPTP for Automated Normative Reasoning"

description: These files are supplementary material to the submission<br> Bridging between LegalRuleML and TPTP for Automated Normative Reasoning<br> by<br> Alexander Steen and David Fuenmayor<br> submitted to the 6th International Joint Conference on Rules and Reasoning (RuleML+RR 2022), 2022. Files ex1.lrml.xml and ex2.lrml.xml are two example LegalRuleML files.<br> Files ex1.dsl.p and ex2.dsl.p are two examples from above translated to the NMF DSL.<br> The files ex1.output.X.p and ex2.output.X.p are the translations of the NMF files into the concrete logic X (X = SDL or X = cJ (Carmo Jones) or X = aqvist (system E)). Alexander Steen, &lt;alexander.steen@uni-greifswald.de&gt;
DOI: 10.5281/zenodo.6702596
title: MCD43A3 albedo over Heihe River Basin

description: This study provides the quality-controlled black sky albedo (BSA) and white sky albedo (WSA) corresponding to the 13 AWSs (eg. ASP, ASN, ACO, DSL, EBO, HZS, HCG, JYL, DMS, BJT, SSW, ZYS, and HZZ) over the Heihe River Basin from 2013 to 2014.
DOI: 10.5281/zenodo.6702595
title: MCD43A3 albedo over Heihe River Basin

description: This study provides the quality-controlled black sky albedo (BSA) and white sky albedo (WSA) corresponding to the 13 AWSs (eg. ASP, ASN, ACO, DSL, EBO, HZS, HCG, JYL, DMS, BJT, SSW, ZYS, and HZZ) over the Heihe River Basin from 2013 to 2014.
DOI: 10.6084/m9.figshare.20132870
title: Supplemental Table-2

description: <strong>Resolvin D1, a specialized pro-resolving mediator, improves bleomycin-induced alveolar maturation arrest in newborn rats</strong>
DOI: 10.6084/m9.figshare.20132870.v1
title: Supplemental Table-2

description: <strong>Resolvin D1, a specialized pro-resolving mediator, improves bleomycin-induced alveolar maturation arrest in newborn rats</strong>
DOI: 10.5281/zenodo.6702652
title: Amblyopsis hoosieri MLN 0242 decontaminated x

description: .
DOI: 10.5281/zenodo.6702651
title: Amblyopsis hoosieri MLN 0242 decontaminated x

description: .
DOI: 10.34740/kaggle/dsv/3851678
title: COVID Vaccination in World (updated daily)
DOI: 10.5281/zenodo.6628967
title: Doppler lidar wind profiles from Kumpula

description: This data set contains Doppler lidar wind profiles calculated from VAD (Velocity-Azimuth Display) scans by a Halo Photonics Streamline Doppler lidar between 10 April 2018 and 30 September 2020 at Kumpula, Finland (60.333 N, 25.6 E, 45 m.a.s.l.). A more detailed description of the instrument specification and operating parameters is given in Hirsikko et al. (2014).
DOI: 10.5281/zenodo.5653251
title: Ciona intestinalis Tierpsy tracked skeletons as of 2022-06-23

description: This dataset contains the data that currently (2022-06-23) corresponds to swimming <em>Ciona intestinalis</em> larvae (controls and drug treated animals) that were recorded in our behavioural setups and were subsequently segmented, tracked and analyzed using the Tierpsy Tracker (developed by Andre Brown's lab, MRC LMS).
description: Funding: Research Council of Norway, of which M.C. is the PI: grant number 234817 (Sars International Centre for Marine Molecular Biology Research, 2013-2022).
DOI: 10.5281/zenodo.6702848
title: Ciona intestinalis Tierpsy tracked skeletons as of 2022-06-23

description: This dataset contains the data that currently (2022-06-23) corresponds to swimming <em>Ciona intestinalis</em> larvae (controls and drug treated animals) that were recorded in our behavioural setups and were subsequently segmented, tracked and analyzed using the Tierpsy Tracker (developed by Andre Brown's lab, MRC LMS).
description: Funding: Research Council of Norway, of which M.C. is the PI: grant number 234817 (Sars International Centre for Marine Molecular Biology Research, 2013-2022).
DOI: 10.5281/zenodo.3926784
title: Ciona intestinalis Tierpsy tracked skeletons as of 2022-06-23

description: This dataset contains the data that currently (2022-06-23) corresponds to swimming <em>Ciona intestinalis</em> larvae (controls and drug treated animals) that were recorded in our behavioural setups and were subsequently segmented, tracked and analyzed using the Tierpsy Tracker (developed by Andre Brown's lab, MRC LMS).
description: Funding: Research Council of Norway, of which M.C. is the PI: grant number 234817 (Sars International Centre for Marine Molecular Biology Research, 2013-2022).
DOI: 10.5281/zenodo.6702833
title: Aphredoderus sayanus TJN 244 decontaminated gx

description: .
DOI: 10.5281/zenodo.6702832
title: Aphredoderus sayanus TJN 244 decontaminated gx

description: .
DOI: 10.5066/p9twt2lu
title: Electrical Conductance Maps of the Great Basin, USA

description: Images of subsurface electrical conductivity are useful for locating fluids and other electrically conductive phases at depth in the Earth. This data release presents electrical conductance maps estimated from a 3D model of the Great Basin, USA, at five different depth ranges, spanning 2 to 200 km depth. Electrical conductance is the integration of electrical conductivity in a depth range. Great Basin electrical conductivity is estimated through 3D inverse modeling of over 800 publicly available magnetotelluric (MT) transfer functions. The transfer functions can be found on the electromagnetic transfer function repository hosted by the Incorporated Research Institutions of Seismology (IRIS) data management center (https://ds.iris.edu/spud/emtf, [...]
DOI: 10.6084/m9.figshare.19984562.v1
title: Bleck and Lorenz energy cycles

description: Processed NeverWorld2 data used in Loose et al., "Diagnosing scale-dependent energy cycles in a high-resolution isopycnal ocean model", JPO (2022). <br> The netcdf files <br> * bleck_cycle_fac16_500days.nc * bleck_cycle_fac32_500days.nc * bleck_cycle_fac64_500days.nc * bleck_cycle_fac128_500days.nc * lorenz_cycle_fac32_500days.nc <br> contain 500-day averaged depth-integrated data for the Bleck/Lorenz energy cycles, i.e., energy reservoirs and transfers between reservoirs. The multiplier after "fac"--16, 32, 64, 128--is the filter factor that has been used to filter the data from 1/32 degree. The 4 factors therefore correspond to filter scales of 1/2, 1, 2, 4 degrees. <br> The netcdf files <br> * wind_work_diags_spatial_fac32_500days.nc * wind_work_diags_temporal_500days.nc <br> contain the 500-day averaged 3d wind work, computed with a spatial and temporal filter, respectively (see Figure 5 in paper). <br>
DOI: 10.6084/m9.figshare.19984562
title: Bleck and Lorenz energy cycles

description: Processed NeverWorld2 data used in Loose et al., "Diagnosing scale-dependent energy cycles in a high-resolution isopycnal ocean model", JPO (2022). <br> The netcdf files <br> * bleck_cycle_fac16_500days.nc * bleck_cycle_fac32_500days.nc * bleck_cycle_fac64_500days.nc * bleck_cycle_fac128_500days.nc * lorenz_cycle_fac32_500days.nc <br> contain 500-day averaged depth-integrated data for the Bleck/Lorenz energy cycles, i.e., energy reservoirs and transfers between reservoirs. The multiplier after "fac"--16, 32, 64, 128--is the filter factor that has been used to filter the data from 1/32 degree. The 4 factors therefore correspond to filter scales of 1/2, 1, 2, 4 degrees. <br> The netcdf files <br> * wind_work_diags_spatial_fac32_500days.nc * wind_work_diags_temporal_500days.nc <br> contain the 500-day averaged 3d wind work, computed with a spatial and temporal filter, respectively (see Figure 5 in paper). <br>
DOI: 10.25448/lbu.20108261
title: Data from 'Youth motor competence across stages of maturity: Perceptions of physical education teachers and strength and conditioning coaches.'

description: The dataset represents questionnaire responses evaluating UK-based Strength and Conditioning coaches and Physical education teachers perceptions of motor competence importance. The data was collected in April 2021.
DOI: 10.25448/lbu.20108261.v1
title: Data from 'Youth motor competence across stages of maturity: Perceptions of physical education teachers and strength and conditioning coaches.'

description: The dataset represents questionnaire responses evaluating UK-based Strength and Conditioning coaches and Physical education teachers perceptions of motor competence importance. The data was collected in April 2021.
DOI: 10.5281/zenodo.6699032
title: QCSD: QUIC Client-Side Website-Fingerprinting Defence Dataset

description: Contains live-defended, defended under simulation, and undefended website-fingerprinting traces associated with the paper "QCSD: QUIC Client-Side Website-Fingerprinting Defence Framework" (USENIX Security '22).
DOI: 10.5281/zenodo.6699031
title: QCSD: QUIC Client-Side Website-Fingerprinting Defence Dataset

description: Contains live-defended, defended under simulation, and undefended website-fingerprinting traces associated with the paper "QCSD: QUIC Client-Side Website-Fingerprinting Defence Framework" (USENIX Security '22).
DOI: 10.5281/zenodo.4562023
title: Supplementary Tables: Host cellular immunity and nutrition respond to intracellular symbiont abundance in an obligate deep-sea symbiosis

description: Contains supplementary tables for the pre-print manuscript: Host cellular immunity and nutrition respond to intracellular symbiont abundance in an obligate deep-sea symbiosis
DOI: 10.5281/zenodo.4562022
title: Supplementary Tables: Host cellular immunity and nutrition respond to intracellular symbiont abundance in an obligate deep-sea symbiosis

description: Contains supplementary tables for the pre-print manuscript: Host cellular immunity and nutrition respond to intracellular symbiont abundance in an obligate deep-sea symbiosis
DOI: 10.5281/zenodo.6678411
title: Sp(2N) Yang-Mills theories on the lattice: scale setting and topology—data release

description: This release contains all data and metadata used to prepare the publications Topological susceptibility in Yang-Mills theories and Sp(2N) Yang-Mills theories on the lattice: scale setting and topology. Included are: The raw log output from the Wilson flow computation, as well as metadata describing the ensembles used, in `raw_data.zip`. These include all numbers used in the publication (aside from fit parameters) in plaintext form. The archive contains a separate `README.md` describing the layout of the data. All numbers included in the above logs, restructured into HDF5 format for convenience, in `datapackage.h5`. The data presented in all tables in both papers, in CSV format, as described in more detail below. Further details are given in the file README.md.
description: The work of EB has been funded in part by the Supercomputing Wales project, which is part-funded by the European Regional Development Fund (ERDF) via Welsh Government, and by the UKRI Science and Technology Facilities Council (STFC) Research Software Engineering Fellowship EP/V052489/1 The work of DKH was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (2021R1A4A5031460) and also by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2017R1D1A1B06033701). The work of JWL is supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government(MSIT) (NRF-2018R1C1B3001379). The work of CJDL is supported by the Taiwanese MoST grant 109-2112-M-009-006-MY3. The work of BL and MP is supported in part by the STFC Consolidated Grants No. ST/P00055X/1 and No. ST/T000813/1. BL and MP received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program under Grant Agreement No. 813942. The work of BL is further supported in part by the Royal Society Wolfson Research Merit Award WM170010 and by the Leverhulme Trust Research Fellowship No. RF-2020-4619. DV acknowledges support from the INFN HPC-HTC project. Numerical simulations have been performed on the Swansea University SUNBIRD cluster (part of the Supercomputing Wales project) and AccelerateAI A100 GPU system, on the local HPC clusters in Pusan National University (PNU) and in National Yang Ming Chiao Tung University (NYCU), and the DiRAC Data Intensive service at Leicester. The Swansea University SUNBIRD system and AccelerateAI are part funded by the European Regional Development Fund (ERDF) via Welsh Government. The DiRAC Data Intensive service at Leicester is operated by the University of Leicester IT Services, which forms part of the STFC DiRAC HPC Facility (www.dirac.ac.uk). The DiRAC Data Intensive service equipment at Leicester was funded by BEIS capital funding via STFC capital grants ST/K000373/1 and ST/R002363/1 and STFC DiRAC Operations grant ST/R001014/1. DiRAC is part of the National e-Infrastructure
DOI: 10.5281/zenodo.6678410
title: Sp(2N) Yang-Mills theories on the lattice: scale setting and topology—data release

description: This release contains all data and metadata used to prepare the publications Topological susceptibility in Yang-Mills theories and Sp(2N) Yang-Mills theories on the lattice: scale setting and topology. Included are: The raw log output from the Wilson flow computation, as well as metadata describing the ensembles used, in `raw_data.zip`. These include all numbers used in the publication (aside from fit parameters) in plaintext form. The archive contains a separate `README.md` describing the layout of the data. All numbers included in the above logs, restructured into HDF5 format for convenience, in `datapackage.h5`. The data presented in all tables in both papers, in CSV format, as described in more detail below. Further details are given in the file README.md.
description: The work of EB has been funded in part by the Supercomputing Wales project, which is part-funded by the European Regional Development Fund (ERDF) via Welsh Government, and by the UKRI Science and Technology Facilities Council (STFC) Research Software Engineering Fellowship EP/V052489/1 The work of DKH was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (2021R1A4A5031460) and also by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2017R1D1A1B06033701). The work of JWL is supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government(MSIT) (NRF-2018R1C1B3001379). The work of CJDL is supported by the Taiwanese MoST grant 109-2112-M-009-006-MY3. The work of BL and MP is supported in part by the STFC Consolidated Grants No. ST/P00055X/1 and No. ST/T000813/1. BL and MP received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program under Grant Agreement No. 813942. The work of BL is further supported in part by the Royal Society Wolfson Research Merit Award WM170010 and by the Leverhulme Trust Research Fellowship No. RF-2020-4619. DV acknowledges support from the INFN HPC-HTC project. Numerical simulations have been performed on the Swansea University SUNBIRD cluster (part of the Supercomputing Wales project) and AccelerateAI A100 GPU system, on the local HPC clusters in Pusan National University (PNU) and in National Yang Ming Chiao Tung University (NYCU), and the DiRAC Data Intensive service at Leicester. The Swansea University SUNBIRD system and AccelerateAI are part funded by the European Regional Development Fund (ERDF) via Welsh Government. The DiRAC Data Intensive service at Leicester is operated by the University of Leicester IT Services, which forms part of the STFC DiRAC HPC Facility (www.dirac.ac.uk). The DiRAC Data Intensive service equipment at Leicester was funded by BEIS capital funding via STFC capital grants ST/K000373/1 and ST/R002363/1 and STFC DiRAC Operations grant ST/R001014/1. DiRAC is part of the National e-Infrastructure
DOI: 10.5281/zenodo.6671681
title: Polifonia Corpus - Encyclopedic Module Data - English Language

description: We release the data of the Encyclopedic Module of the Polifonia Textual Corpus (Wikipedia pages), collected by selecting from BabelNet domains all the Wikipedia musical pages. Full description at https://github.com/polifonia-project/Polifonia-Corpus
DOI: 10.5281/zenodo.6671680
title: Polifonia Corpus - Encyclopedic Module Data - English Language

description: We release the data of the Encyclopedic Module of the Polifonia Textual Corpus (Wikipedia pages), collected by selecting from BabelNet domains all the Wikipedia musical pages. Full description at https://github.com/polifonia-project/Polifonia-Corpus
DOI: 10.5281/zenodo.6671765
title: Polifonia Corpus - Books Module Metadata - Spanish Language

description: We release the Metadata of the Books module of the Polifonia Textual Corpus. According to the availability from the source origin, the Metadata may include the URL from which a text of the Books corpus is accessible, along with the title, the author, the year of publication, and the publisher. Metadata allows for a complete reconstruction of the corpus as we cannot make the actual texts available because they are subject to heterogeneous licensing. Full description at https://github.com/polifonia-project/Polifonia-Corpus
DOI: 10.5281/zenodo.6696741
title: Towards understanding the importance of time-series features in automated algorithm performance prediction

description: <strong>merged_feature_importance.csv</strong> - CSV with feature importance values with different meta-models, forecasting algorithms, and feature importance methods computed on 30 different train/test splits. <strong>Catch22.csv</strong> - Catch22 features (raw time-series) <strong>Catch22Log.csv</strong> - Catch22 features (log time-series) <strong>Catch22Diff.csv</strong> - Catch22 features (differenced time-series) <strong>TSFresh.csv</strong> - TSFresh features (raw time-series) <strong>TSFreshLog.csv</strong> - TSFresh features (log time-series) <strong>TSFreshDiff.csv</strong> - TSFresh features (differenced time-series) <strong>mape.csv</strong> - sMAPE performance for all forecasting algoirthms
DOI: 10.5281/zenodo.6637636
title: Towards understanding the importance of time-series features in automated algorithm performance prediction

description: <strong>merged_feature_importance.csv</strong> - CSV with feature importance values with different meta-models, forecasting algorithms, and feature importance methods computed on 30 different train/test splits. <strong>Catch22.csv</strong> - Catch22 features (raw time-series) <strong>Catch22Log.csv</strong> - Catch22 features (log time-series) <strong>Catch22Diff.csv</strong> - Catch22 features (differenced time-series) <strong>TSFresh.csv</strong> - TSFresh features (raw time-series) <strong>TSFreshLog.csv</strong> - TSFresh features (log time-series) <strong>TSFreshDiff.csv</strong> - TSFresh features (differenced time-series) <strong>mape.csv</strong> - sMAPE performance for all forecasting algoirthms
DOI: 10.5281/zenodo.6703345
title: Alethe diademata decontaminated gx

description: .
DOI: 10.5281/zenodo.6703344
title: Alethe diademata decontaminated gx

description: .
DOI: 10.5281/zenodo.6672165
title: Polifonia Corpus - Pilots Module (MusicBO) Metadata

description: We release the Metadata of the Pilots module of the Polifonia Textual Corpus. According to the availability from the source origin, the Metadata may include the URL from which a text of the Pilots corpus is accessible, along with the title, the author, the year of publication, and the publisher. Metadata allows for a complete reconstruction of the corpus as we cannot make the actual texts available because they are subject to heterogeneous licensing. Full description at https://github.com/polifonia-project/Polifonia-Corpus
DOI: 10.5281/zenodo.6672164
title: Polifonia Corpus - Pilots Module (MusicBO) Metadata

description: We release the Metadata of the Pilots module of the Polifonia Textual Corpus. According to the availability from the source origin, the Metadata may include the URL from which a text of the Pilots corpus is accessible, along with the title, the author, the year of publication, and the publisher. Metadata allows for a complete reconstruction of the corpus as we cannot make the actual texts available because they are subject to heterogeneous licensing. Full description at https://github.com/polifonia-project/Polifonia-Corpus
DOI: 10.5281/zenodo.6703447
title: Single-site robotic cholecystectomy versus single-incision laparoscopic cholecystectomy: A systematic review and meta-analysis

description: Single-site robotic cholecystectomy versus single-incision laparoscopic cholecystectomy: A systematic review and meta-analysis
DOI: 10.5281/zenodo.6651540
title: Single-site robotic cholecystectomy versus single-incision laparoscopic cholecystectomy: A systematic review and meta-analysis

description: Single-site robotic cholecystectomy versus single-incision laparoscopic cholecystectomy: A systematic review and meta-analysis
DOI: 10.6084/m9.figshare.20133998
title: Table 1.pdf

description: Deep tissue injury as possible pathogenesis of acute inflammatory swelling or cellulitis after connecting implant super-structures: a case series study