cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/fzgi5d/ekjv0m
title: E03 - 24MO.tab

description: :unav
DOI: 10.7910/dvn/fzgi5d/95tqis
title: E03 - Capture Fisheries.tab

description: :unav
DOI: 10.7910/dvn/fzgi5d/hnlq9y
title: 0- CodeBook.tab

description: :unav
DOI: 10.7910/dvn/fzgi5d/b61qke
title: 56148b04f2bf476a52a84d3b62d6c990.tab

description: :unav
DOI: 10.5281/zenodo.3865783
title: FarmConners_Single_Full_Wake

description: This dataset is a subset of the TotalControl windfarm dataset compiled in the context of FarmConners Wind Farm Control Benchmark project for code comparison. This case aims to investigate the quantities of interest in the single wake behind a normally operating turbine, for a <strong>fully aligned 2-turbine configuration</strong>. It should be noted that the configuration is a subset of a wind farm simulation, <em>i.e.</em> there are additional blockage effects. The python files "plot_cross_sections.py" and "plot_performance.py" are to be used for loading and visualizing the velocity field through turbines stored in "cross_sections_timeseries.h5" and the turbine performance in "turb_performance.h5" respectively. The inflow in this case is a Conventionally Neutral Boundary Layer (CNBL) with a capping inversion of 4K strength at a height of 250 m. The precursor data of the atmospheric boundary layer simulations without any turbines is publicly available in the online zenodo repository at https://zenodo.org/communities/totalcontrolflowdatabase/. The complete datasets for the TotalControl windfarm simulations area available at https://zenodo.org/communities/totalcontrolwindfarmdatabase/
DOI: 10.5281/zenodo.3865782
title: FarmConners_Single_Full_Wake

description: This dataset is a subset of the TotalControl windfarm dataset compiled in the context of FarmConners Wind Farm Control Benchmark project for code comparison. This case aims to investigate the quantities of interest in the single wake behind a normally operating turbine, for a <strong>fully aligned 2-turbine configuration</strong>. It should be noted that the configuration is a subset of a wind farm simulation, <em>i.e.</em> there are additional blockage effects. The python files "plot_cross_sections.py" and "plot_performance.py" are to be used for loading and visualizing the velocity field through turbines stored in "cross_sections_timeseries.h5" and the turbine performance in "turb_performance.h5" respectively. The inflow in this case is a Conventionally Neutral Boundary Layer (CNBL) with a capping inversion of 4K strength at a height of 250 m. The precursor data of the atmospheric boundary layer simulations without any turbines is publicly available in the online zenodo repository at https://zenodo.org/communities/totalcontrolflowdatabase/. The complete datasets for the TotalControl windfarm simulations area available at https://zenodo.org/communities/totalcontrolwindfarmdatabase/
DOI: 10.5281/zenodo.3885156
title: FarmConners_Single_Partial_Wake

description: This dataset is a subset of the TotalControl windfarm dataset compiled in the context of FarmConners Wind Farm Control Benchmark project for code comparison. This case aims to investigate the quantities of interest in the single wake behind a normally operating turbine, for a <strong>partially aligned 2-turbine configuration</strong>. It should be noted that the configuration is a subset of a wind farm simulation, <em>i.e.</em> there are additional blockage effects. The python files "plot_cross_sections.py" and "plot_performance.py" are to be used for loading and visualizing the velocity field through turbines stored in "cross_sections_timeseries.h5" and the turbine performance in "turb_performance.h5" respectively. The inflow in this case is a Conventionally Neutral Boundary Layer (CNBL) with a capping inversion of 8K strength at a height of 125 m. The precursor data of the atmospheric boundary layer simulations without any turbines is publicly available in the online zenodo repository at https://zenodo.org/communities/totalcontrolflowdatabase/. The complete datasets for the TotalControl windfarm simulations area available at https://zenodo.org/communities/totalcontrolwindfarmdatabase/
DOI: 10.5281/zenodo.3885155
title: FarmConners_Single_Partial_Wake

description: This dataset is a subset of the TotalControl windfarm dataset compiled in the context of FarmConners Wind Farm Control Benchmark project for code comparison. This case aims to investigate the quantities of interest in the single wake behind a normally operating turbine, for a <strong>partially aligned 2-turbine configuration</strong>. It should be noted that the configuration is a subset of a wind farm simulation, <em>i.e.</em> there are additional blockage effects. The python files "plot_cross_sections.py" and "plot_performance.py" are to be used for loading and visualizing the velocity field through turbines stored in "cross_sections_timeseries.h5" and the turbine performance in "turb_performance.h5" respectively. The inflow in this case is a Conventionally Neutral Boundary Layer (CNBL) with a capping inversion of 8K strength at a height of 125 m. The precursor data of the atmospheric boundary layer simulations without any turbines is publicly available in the online zenodo repository at https://zenodo.org/communities/totalcontrolflowdatabase/. The complete datasets for the TotalControl windfarm simulations area available at https://zenodo.org/communities/totalcontrolwindfarmdatabase/
DOI: 10.5281/zenodo.3885023
title: FarmConners_Multiple_Full_Wake

description: This dataset is a subset of the TotalControl windfarm dataset compiled in the context of FarmConners Wind Farm Control Benchmark project for code comparison. This case aims to investigate the quantities of interest in a row of normally operating turbines, for a <strong>fully aligned 8 turbine configuration</strong>. It should be noted that the configuration is a subset of a wind farm simulation, <em>i.e.</em> there are additional blockage effects. The python files "plot_cross_sections.py" and "plot_performance.py" are to be used for loading and visualizing the velocity field through turbines stored in "cross_sections_timeseries.h5" and the turbine performance in "turb_performance.h5" respectively. The inflow in this case is a Conventionally Neutral Boundary Layer (CNBL) with a capping inversion of 4K strength at a height of 250 m. The precursor data of the atmospheric boundary layer simulations without any turbines is publicly available in the online zenodo repository at https://zenodo.org/communities/totalcontrolflowdatabase/. The complete datasets for the TotalControl windfarm simulations area available at https://zenodo.org/communities/totalcontrolwindfarmdatabase/
DOI: 10.5281/zenodo.3885022
title: FarmConners_Multiple_Full_Wake

description: This dataset is a subset of the TotalControl windfarm dataset compiled in the context of FarmConners Wind Farm Control Benchmark project for code comparison. This case aims to investigate the quantities of interest in a row of normally operating turbines, for a <strong>fully aligned 8 turbine configuration</strong>. It should be noted that the configuration is a subset of a wind farm simulation, <em>i.e.</em> there are additional blockage effects. The python files "plot_cross_sections.py" and "plot_performance.py" are to be used for loading and visualizing the velocity field through turbines stored in "cross_sections_timeseries.h5" and the turbine performance in "turb_performance.h5" respectively. The inflow in this case is a Conventionally Neutral Boundary Layer (CNBL) with a capping inversion of 4K strength at a height of 250 m. The precursor data of the atmospheric boundary layer simulations without any turbines is publicly available in the online zenodo repository at https://zenodo.org/communities/totalcontrolflowdatabase/. The complete datasets for the TotalControl windfarm simulations area available at https://zenodo.org/communities/totalcontrolwindfarmdatabase/
DOI: 10.5281/zenodo.3874906
title: Towed chain datasets and input files for simulations used in the manuscript "Increased mixing and turbulence in the wake of offshore wind farm foundations"

description: <strong>Contents</strong> 1. File S01_S12 Input files for simulations (precursor runs and main runs) 2. File S13 Topography file for simulations with monopile 2. Data sets ds01 to ds06 (towed chain data collected in May 25, 2015) 3. Data sets ds07 to ds14 (towed chain data collected in July 19, 2017) 4. Data sets d15 to ds16 (ADCP data collected in May 25, 2015 and July 19, 2017) <strong>Introduction </strong> This package contains the input parameters used in each of the precursor (S01 - S04) and main runs (S05 - S12) presented in the manuscript “Increased mixing and turbulence in the wake of offshore wind farm foundations”. These input files are found in the PDF file "S01_S12". The main runs, in which the wake of a monopile was simulated (S05, S07, S09, S11), require a topography file, which is a NETCDF-file that has been uploaded separately (S13). All simulations were run using the Parallelized Large-Eddy Simulation Model for atmospheric and oceanic flows (PALM, version 4.0, revision 2504). Further, this package contains the data sets collected using the towed chain in 2015 (ds01-ds06, ds15) and 2017 (ds07-ds14, ds16), which have been uploaded as separate NETCDF-files.
DOI: 10.5281/zenodo.3874905
title: Towed chain datasets and input files for simulations used in the manuscript "Increased mixing and turbulence in the wake of offshore wind farm foundations"

description: <strong>Contents</strong> 1. File S01_S12 Input files for simulations (precursor runs and main runs) 2. File S13 Topography file for simulations with monopile 2. Data sets ds01 to ds06 (towed chain data collected in May 25, 2015) 3. Data sets ds07 to ds14 (towed chain data collected in July 19, 2017) 4. Data sets d15 to ds16 (ADCP data collected in May 25, 2015 and July 19, 2017) <strong>Introduction </strong> This package contains the input parameters used in each of the precursor (S01 - S04) and main runs (S05 - S12) presented in the manuscript “Increased mixing and turbulence in the wake of offshore wind farm foundations”. These input files are found in the PDF file "S01_S12". The main runs, in which the wake of a monopile was simulated (S05, S07, S09, S11), require a topography file, which is a NETCDF-file that has been uploaded separately (S13). All simulations were run using the Parallelized Large-Eddy Simulation Model for atmospheric and oceanic flows (PALM, version 4.0, revision 2504). Further, this package contains the data sets collected using the towed chain in 2015 (ds01-ds06, ds15) and 2017 (ds07-ds14, ds16), which have been uploaded as separate NETCDF-files.
DOI: 10.21227/7q55-nn17
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: 10.5281/zenodo.3886895
title: Financial data set used in INFORE project

description: The data set contains exchange price data from different exchanges. The time span ranges from 01/01/2019 until 12/31/2019. Several Stock-, Future-, Index-, Commodity- and Currency-markets are covered. The data comes as tick by tick data (sub folder 'quotes') as well as condenced data (condenced to 1 -minute-format; in sub folder 'history').
DOI: 10.5281/zenodo.3886894
title: Financial data set used in INFORE project

description: The data set contains exchange price data from different exchanges. The time span ranges from 01/01/2019 until 12/31/2019. Several Stock-, Future-, Index-, Commodity- and Currency-markets are covered. The data comes as tick by tick data (sub folder 'quotes') as well as condenced data (condenced to 1 -minute-format; in sub folder 'history').
DOI: 10.5281/zenodo.3346904
title: ANGUSII Scenarios: Pathways to 100% Renewable German Energy System

description: The data set contains an open source energy system model based on the Open Energy Modelling Framework (oemof) for Germany. Results are calculated for different scenarios for the year 2030, 2040 and 2050. A documentation file can be found on Github.
description: The work has been funded by the Federal Ministry of Economic Affairs, Germany
DOI: 10.5281/zenodo.3735954
title: Speciation through chromosomal fusion and fission in Lepidoptera

description: 28 Mai 2020<br> Phylogenetic trees, the chromoSSE script and the input data for the chromoSSE models belonging to the publication "<strong>Speciation through chromosomal fusion and fission in <em>Lepidoptera" </em></strong>doi 10.1098/rstb.2019.0539. For more information, contact jurriaan.devos@unibas.ch or kay.lucek@unibas.ch. The zipped folder "trees" contains three posterior distributions of chronograms for each of 16 genera, based on a sample of 100 trees each.<br> Each tree includes the outgroup taxon, and the ingroup-outgroup split was dated based on one of three strategies:<br> - For the files named GENUS_tmax_pl.tre based on the reported maximum (oldest) age of the reported interval;<br> - For the files named GENUS_tmed_pl.tre based on the reported median age;<br> - For the files named GENUS_tmax_pl.tre based on the reported minimum (youngest) age of the reported interval.<br> Note that the outgroups were pruned prior to diversification rate analysis.<br> The median age files were used as input for the ChromoSSE analysis; all files were used an input for the analyses based on Brownian Motion. The file "chromoSSE.Rev" contains a script that runs the cromoSSE models.<br> Inorder to use this script RevBayes needs to be installed. This can be done by using the link: https://revbayes.github.io/download.<br> It can be run with the command line:<br> $&gt; rb chromoSSE.Rev --args 1<br> As a argument every number between 1 and 16 can be used. And represent a genera:<br> 1 = Colias, 2 = Erebia, 3 = Eunica, 4 = Eurema, 5 = Heliconius, 6 = Ithomia, 7 = Lycaena,<br> 8 = Lysandra, 9 = Memphis, 10 = Morpho, 11 = Oleria, 12 = Papilio, 13 = Pieris,<br> 14 = Polyommatus, 15 = Pteronymia, 16 = Taygetis.<br> The process runs automatically and generates MCMC outputfiles and stores them in the directory "output".<br> Each tree that is analyzed returns three files:<br> -The files named "GENUS.ChromoSSE_anc_statesX.log" logfile of the states;<br> -The files named "GENUS.ChromoSSE_finalX.tree" tree output of the analysis;<br> -The files named "GENUS.ChromoSSE_modelX.log" logfile of the model.<br> The files can be easily accessed by using the software Tracer: https://beast.community/tracer The zipped folder "data" contains input files needed for the chromoSSE analysis.<br> To run each analysis a tree "GENUS.pruned.trees" and a tsv-file "GENUS.pruned.states.tsv" with the number of chromosomes per species is needed.<br> In the trees all species without a chromosom number were excluded.
DOI: 10.5281/zenodo.3735953
title: Speciation through chromosomal fusion and fission in Lepidoptera

description: 28 Mai 2020<br> Phylogenetic trees, the chromoSSE script and the input data for the chromoSSE models belonging to the publication "<strong>Speciation through chromosomal fusion and fission in <em>Lepidoptera" </em></strong>doi 10.1098/rstb.2019.0539. For more information, contact jurriaan.devos@unibas.ch or kay.lucek@unibas.ch. The zipped folder "trees" contains three posterior distributions of chronograms for each of 16 genera, based on a sample of 100 trees each.<br> Each tree includes the outgroup taxon, and the ingroup-outgroup split was dated based on one of three strategies:<br> - For the files named GENUS_tmax_pl.tre based on the reported maximum (oldest) age of the reported interval;<br> - For the files named GENUS_tmed_pl.tre based on the reported median age;<br> - For the files named GENUS_tmax_pl.tre based on the reported minimum (youngest) age of the reported interval.<br> Note that the outgroups were pruned prior to diversification rate analysis.<br> The median age files were used as input for the ChromoSSE analysis; all files were used an input for the analyses based on Brownian Motion. The file "chromoSSE.Rev" contains a script that runs the cromoSSE models.<br> Inorder to use this script RevBayes needs to be installed. This can be done by using the link: https://revbayes.github.io/download.<br> It can be run with the command line:<br> $&gt; rb chromoSSE.Rev --args 1<br> As a argument every number between 1 and 16 can be used. And represent a genera:<br> 1 = Colias, 2 = Erebia, 3 = Eunica, 4 = Eurema, 5 = Heliconius, 6 = Ithomia, 7 = Lycaena,<br> 8 = Lysandra, 9 = Memphis, 10 = Morpho, 11 = Oleria, 12 = Papilio, 13 = Pieris,<br> 14 = Polyommatus, 15 = Pteronymia, 16 = Taygetis.<br> The process runs automatically and generates MCMC outputfiles and stores them in the directory "output".<br> Each tree that is analyzed returns three files:<br> -The files named "GENUS.ChromoSSE_anc_statesX.log" logfile of the states;<br> -The files named "GENUS.ChromoSSE_finalX.tree" tree output of the analysis;<br> -The files named "GENUS.ChromoSSE_modelX.log" logfile of the model.<br> The files can be easily accessed by using the software Tracer: https://beast.community/tracer The zipped folder "data" contains input files needed for the chromoSSE analysis.<br> To run each analysis a tree "GENUS.pruned.trees" and a tsv-file "GENUS.pruned.states.tsv" with the number of chromosomes per species is needed.<br> In the trees all species without a chromosom number were excluded.
DOI: 10.5519/qd.4f89q6yi
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.17632/wyn7959sxf.1
title: Data for: Experimental study on the performance of heat pump water heating system coupled with air type PV/T collector

description: Natural weather datas, thermal and electrical performance of the air type PV/T solar collector, heat pump performance combined with PV/T solar collector
DOI: 10.5281/zenodo.3819213
title: DATA: A thalamic reticular circuit for head direction cell tuning and spatial navigation

description: As we navigate in space, external landmarks and internal information guide our movement. Circuit and synaptic mechanisms that integrate these cues with head-direction (HD) signals remain, however, unclear. We identify an excitatory synaptic projection from the presubiculum (PreS) and the multisensory-associative retrosplenial cortex (RSC) to the anterodorsal thalamic reticular nucleus (TRN), so far classically implied in gating sensory information flow. <em>In vitro</em>, projections to TRN involve AMPA/NMDA-type glutamate receptors that initiate TRN cell burst discharge and feedforward inhibition of anterior thalamic nuclei. <em>In vivo</em>, chemogenetic anterodorsal TRN inhibition modulates PreS/RSC-induced anterior thalamic firing dynamics, broadens the tuning of thalamic HD cells, and lead to preferential use of allo- over egocentric search strategies in the Morris water maze. TRN-dependent thalamic inhibition is thus an integral part of limbic navigational circuits wherein it coordinates external sensory and internal HD signals to regulate the choice of search strategies during spatial navigation.
description: The Excel document contains all numerical data and results from statistical analysis that were used in Vantomme et al., 2020 in Cell Reports
DOI: 10.5281/zenodo.3819212
title: DATA: A thalamic reticular circuit for head direction cell tuning and spatial navigation

description: As we navigate in space, external landmarks and internal information guide our movement. Circuit and synaptic mechanisms that integrate these cues with head-direction (HD) signals remain, however, unclear. We identify an excitatory synaptic projection from the presubiculum (PreS) and the multisensory-associative retrosplenial cortex (RSC) to the anterodorsal thalamic reticular nucleus (TRN), so far classically implied in gating sensory information flow. <em>In vitro</em>, projections to TRN involve AMPA/NMDA-type glutamate receptors that initiate TRN cell burst discharge and feedforward inhibition of anterior thalamic nuclei. <em>In vivo</em>, chemogenetic anterodorsal TRN inhibition modulates PreS/RSC-induced anterior thalamic firing dynamics, broadens the tuning of thalamic HD cells, and lead to preferential use of allo- over egocentric search strategies in the Morris water maze. TRN-dependent thalamic inhibition is thus an integral part of limbic navigational circuits wherein it coordinates external sensory and internal HD signals to regulate the choice of search strategies during spatial navigation.
description: The Excel document contains all numerical data and results from statistical analysis that were used in Vantomme et al., 2020 in Cell Reports
DOI: 10.17632/wyn7959sxf.2
title: Data for: Experimental study on the performance of heat pump water heating system coupled with air type PV/T collector

description: Natural weather datas, thermal and electrical performance of the air type PV/T solar collector, heat pump performance combined with PV/T solar collector
DOI: 10.5281/zenodo.3886970
title: Wikidata Dump

description: RDF dump of wikidata produced with wdumps. <br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.5281/zenodo.3886969
title: Wikidata Dump

description: RDF dump of wikidata produced with wdumps. <br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.17632/vksyd4x8ps.1
title: Data for: How to investigate human-computer interactions in the flight deck: the implementation of flight crew-machine interface recording systems

description: The parameters of flight data recorder on A330 rejected landing
DOI: 10.15161/oar.it/30368
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.17632/z2k7z5wtg8.1
title: SMA libraries for metabolite identification and quantification in cocoa extracts

description: Metabolite libraries built from NMR spectra for natural, lavado and commercial cocoa and for two extraction procedures (hydroalcoholic and Soxhlet), using the Simple Mixture Analysis (SMA) tool implemented in MestreNova 12.4 software.
DOI: 10.5281/zenodo.3718598
title: Structural Profiling of Web Sites in the Wild

description: The dataset contains and processes results of a large-scale survey of 708 websites, made in December 2019, in order to measure various features related to their size and structure: DOM tree size, maximum degree, depth, diversity of element types and CSS classes, among others. The goal of this research is to serve as a reference point for studies that include an empirical evaluation on samples of web pages. See the Readme.md file inside the archive for more details about its contents.