cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7214286
title: D7.3 Dataset of noise produced by Hog-Jaeren wind park (simulation)

description: This dataset was used in Deliverable 7.3 of Upwards. For further explanations refer to Work Package 4. Contained are results of the noise simulation for the Hog-Jaeren wind park with south-east wind direction. The yaw misalignment of the turbines in the freestream was varied as indicated by the folder names. Here 270 corresponds to a yaw misalignment of 0° while 260 corresponds to -10°. There are several types of 2D plots available: OASPL: Shows the OASPL in dB(A) in the area of the park noise_regulation: Contains the OASPL in dB(A) in the neghborhood of the park as well as lines indicating distance and noise based regulations by the Norwegian government. annoyance_level: Based on the OASPL the percentage of people being annoyed by the noise is presented. The file 'OASPL_at_observer_in_dBA.txt' contains the coordinates of an observer as well as the OASPL at that point.
DOI: 10.5281/zenodo.7214287
title: D7.3 Dataset of noise produced by Hog-Jaeren wind park (simulation)

description: This dataset was used in Deliverable 7.3 of Upwards. For further explanations refer to Work Package 4. Contained are results of the noise simulation for the Hog-Jaeren wind park with south-east wind direction. The yaw misalignment of the turbines in the freestream was varied as indicated by the folder names. Here 270 corresponds to a yaw misalignment of 0° while 260 corresponds to -10°. There are several types of 2D plots available: OASPL: Shows the OASPL in dB(A) in the area of the park noise_regulation: Contains the OASPL in dB(A) in the neghborhood of the park as well as lines indicating distance and noise based regulations by the Norwegian government. annoyance_level: Based on the OASPL the percentage of people being annoyed by the noise is presented. The file 'OASPL_at_observer_in_dBA.txt' contains the coordinates of an observer as well as the OASPL at that point.
DOI: 10.5281/zenodo.7214279
title: D6.6 Dataset of turbine properties of Lillgrund wind park

description: This dataset was used in Deliverable 6.6 of Upwards. It contains turbine properties of turbines in a simulation of the Lillgrund wind park. The simulation was conducted for different yaw misalignments of the turbines in the freestream. Thus this dataset contains 4 folders which each correspond to one yaw misalignment. The folder name indicates the yaw misalignment where 270 corresponds to a yaw misalignment of 0° while 260 corresponds to -10°. The files in each folder contain the following properties: time torqueGen powerRotor rotSpeed thrust torqueRotor These properties are available for all turbines in the park. Further the accumulated properties are available for each row of turbines and the whole park.
DOI: 10.5281/zenodo.7214280
title: D6.6 Dataset of turbine properties of Lillgrund wind park

description: This dataset was used in Deliverable 6.6 of Upwards. It contains turbine properties of turbines in a simulation of the Lillgrund wind park. The simulation was conducted for different yaw misalignments of the turbines in the freestream. Thus this dataset contains 4 folders which each correspond to one yaw misalignment. The folder name indicates the yaw misalignment where 270 corresponds to a yaw misalignment of 0° while 260 corresponds to -10°. The files in each folder contain the following properties: time torqueGen powerRotor rotSpeed thrust torqueRotor These properties are available for all turbines in the park. Further the accumulated properties are available for each row of turbines and the whole park.
DOI: 10.5281/zenodo.7214258
title: D6.6 Dataset of turbine properties of Hog-Jaeren SE

description: This dataset was used in Deliverable 6.6 of Upwards. It contains turbine properties of turbines in a simulation of the Hog-Jaeren wind park. The wind direction is chosen to be south-east. The simulation was conducted for different yaw misalignments of the turbines in the freestream. Thus this dataset contains 28 folders which each correspond to one yaw misalignment. The folder name indicates the yaw misalignment where 270 corresponds to a yaw misalignment of 0° while 260 corresponds to -10°. The files in each folder contain the following properties: time torqueGen powerRotor rotSpeed thrust torqueRotor azimuth azimuth1 azimuth2 azimuth3 Azimuth1, azimuth2 and azimuth3 are the azimuth angles of the three blades in radians. Azimuth is the same as azimuth1, just in degrees. These properties are available for all turbines in the park. Further the accumulated properties are available for each row of turbines and the whole park.
DOI: 10.5281/zenodo.7214257
title: D6.6 Dataset of turbine properties of Hog-Jaeren SE

description: This dataset was used in Deliverable 6.6 of Upwards. It contains turbine properties of turbines in a simulation of the Hog-Jaeren wind park. The wind direction is chosen to be south-east. The simulation was conducted for different yaw misalignments of the turbines in the freestream. Thus this dataset contains 28 folders which each correspond to one yaw misalignment. The folder name indicates the yaw misalignment where 270 corresponds to a yaw misalignment of 0° while 260 corresponds to -10°. The files in each folder contain the following properties: time torqueGen powerRotor rotSpeed thrust torqueRotor azimuth azimuth1 azimuth2 azimuth3 Azimuth1, azimuth2 and azimuth3 are the azimuth angles of the three blades in radians. Azimuth is the same as azimuth1, just in degrees. These properties are available for all turbines in the park. Further the accumulated properties are available for each row of turbines and the whole park.
DOI: 10.5281/zenodo.7214244
title: D6.6 Dataset of turbine properties of Hog-Jaeren NW

description: This dataset was used in Deliverable 6.6 of Upwards. It contains turbine properties of turbines in a simulation of the Hog-Jaeren wind park. The wind direction is chosen to be north-west. The simulation was conducted for different yaw misalignents of the turbines in the freestream. Thus this dataset contains 27 folders which each correspnd to one yaw misalignment. The folder name indicates the yaw misalignment where 270 corresponds to a yaw misalignment of 0° while 260 corresponds to -10°. The files in each folder contain the following properties: time torqueGen powerRotor rotSpeed thrust torqueRotor azimuth azimuth1 azimuth2 azimuth3 Blade1 Blade2 Blade3 Azimuth1, azimuth2 and azimuth3 are the azimuth angles of the three blades in radians. Azimuth is the same as azimuth1, just in degrees. Blade1, Blade2 and Blade3 are the accumulated forces applied to the three blades. These properties are available for all turbines in the park. Further the accumulated properties are available for each row of turbines and the whole park.
DOI: 10.5281/zenodo.7214243
title: D6.6 Dataset of turbine properties of Hog-Jaeren NW

description: This dataset was used in Deliverable 6.6 of Upwards. It contains turbine properties of turbines in a simulation of the Hog-Jaeren wind park. The wind direction is chosen to be north-west. The simulation was conducted for different yaw misalignents of the turbines in the freestream. Thus this dataset contains 27 folders which each correspnd to one yaw misalignment. The folder name indicates the yaw misalignment where 270 corresponds to a yaw misalignment of 0° while 260 corresponds to -10°. The files in each folder contain the following properties: time torqueGen powerRotor rotSpeed thrust torqueRotor azimuth azimuth1 azimuth2 azimuth3 Blade1 Blade2 Blade3 Azimuth1, azimuth2 and azimuth3 are the azimuth angles of the three blades in radians. Azimuth is the same as azimuth1, just in degrees. Blade1, Blade2 and Blade3 are the accumulated forces applied to the three blades. These properties are available for all turbines in the park. Further the accumulated properties are available for each row of turbines and the whole park.
DOI: 10.5517/ccdc.csd.cc297tw8
title: CCDC 2122690: Experimental Crystal Structure Determination

description: Related Article: Anastasia Yu. Gitlina, Farzaneh Fadaei-Tirani, Albert Ruggi, Carolina Plaice, Kay Severin|2022|Chemical Science|13|10370|doi:10.1039/D2SC02808E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.21345183
title: Alvinocarids_off_Japan_ReproPop.xlsx

description: Raw dataset of population and reproductive traits from alvinocaridid shrimps inhabiting chemosynthetic ecosystems around Japan
DOI: 10.6084/m9.figshare.21345183.v1
title: Alvinocarids_off_Japan_ReproPop.xlsx

description: Raw dataset of population and reproductive traits from alvinocaridid shrimps inhabiting chemosynthetic ecosystems around Japan
DOI: 10.6084/m9.figshare.21345180
title: Data

description: The data extracted from the articles
DOI: 10.6084/m9.figshare.21345180.v1
title: Data

description: The data extracted from the articles
DOI: 10.48623/aperta.local.3
title: Doi Test

description: doi test
DOI: 10.5281/zenodo.7214223
title: Multi-LEX: a database of multi-word frequencies (English files)

description: Written word frequency is a key variable used in many psycholinguistic studies and is central in explaining visual word recognition. Indeed, methodological advances on single word frequency estimates have helped to uncover novel language-related cognitive processes, fostering new ideas and studies. In an attempt to support and promote research on a related emerging topic, visual multi-word recognition, we extracted from the exhaustive Google Ngram datasets a selection of millions of multi-word sequences and computed their associated frequency estimate. Such sequences are presented with Part-of-Speech information for each individual word. An online behavioral investigation making use of the French 4-gram lexicon in a grammatical decision task was carried out. The results show an item-level frequency effect of word sequences. Moreover, the proposed datasets were found useful during the stimulus selection phase, allowing more precise control of the multi-word characteristics.
DOI: 10.5281/zenodo.7214222
title: Multi-LEX: a database of multi-word frequencies (English files)

description: Written word frequency is a key variable used in many psycholinguistic studies and is central in explaining visual word recognition. Indeed, methodological advances on single word frequency estimates have helped to uncover novel language-related cognitive processes, fostering new ideas and studies. In an attempt to support and promote research on a related emerging topic, visual multi-word recognition, we extracted from the exhaustive Google Ngram datasets a selection of millions of multi-word sequences and computed their associated frequency estimate. Such sequences are presented with Part-of-Speech information for each individual word. An online behavioral investigation making use of the French 4-gram lexicon in a grammatical decision task was carried out. The results show an item-level frequency effect of word sequences. Moreover, the proposed datasets were found useful during the stimulus selection phase, allowing more precise control of the multi-word characteristics.
DOI: 10.5281/zenodo.7214248
title: Multi-LEX: a database of multi-word frequencies (French files)

description: Written word frequency is a key variable used in many psycholinguistic studies and is central in explaining visual word recognition. Indeed, methodological advances on single word frequency estimates have helped to uncover novel language-related cognitive processes, fostering new ideas and studies. In an attempt to support and promote research on a related emerging topic, visual multi-word recognition, we extracted from the exhaustive Google Ngram datasets a selection of millions of multi-word sequences and computed their associated frequency estimate. Such sequences are presented with Part-of-Speech information for each individual word. An online behavioral investigation making use of the French 4-gram lexicon in a grammatical decision task was carried out. The results show an item-level frequency effect of word sequences. Moreover, the proposed datasets were found useful during the stimulus selection phase, allowing more precise control of the multi-word characteristics.
DOI: 10.5281/zenodo.7214247
title: Multi-LEX: a database of multi-word frequencies (French files)

description: Written word frequency is a key variable used in many psycholinguistic studies and is central in explaining visual word recognition. Indeed, methodological advances on single word frequency estimates have helped to uncover novel language-related cognitive processes, fostering new ideas and studies. In an attempt to support and promote research on a related emerging topic, visual multi-word recognition, we extracted from the exhaustive Google Ngram datasets a selection of millions of multi-word sequences and computed their associated frequency estimate. Such sequences are presented with Part-of-Speech information for each individual word. An online behavioral investigation making use of the French 4-gram lexicon in a grammatical decision task was carried out. The results show an item-level frequency effect of word sequences. Moreover, the proposed datasets were found useful during the stimulus selection phase, allowing more precise control of the multi-word characteristics.
DOI: 10.5257/iea/oil/2022
title: Oil Information (2022 Edition)

description: Oil Information is a comprehensive reference dataset on current developments in oil supply and demand. This publication contains key data on world production, trade, prices and consumption of major oil product groups, with time-series back to the early 1970s. Its core consists of a detailed and comprehensive picture of oil supply, demand, trade, production and consumption by end-user for each OECD country individually and for the OECD regions. Trade data are reported extensively by origin and destination.
DOI: 10.3217/mpz99-4mf66
title: Real-time Detection and Recognition of Machine-Readable Zones with Mobile Devices (Part 2)

description: Dataset For the Publication: A. Hartl, C. Arth, and D. Schmalstieg, "Real-time Detection and Recognition of Machine-Readable Zones with Mobile Devices," in International Conference on Computer Vision Theory and Applications (VISAPP), 2015.
DOI: 10.17632/ptcp7rp3wb.1
title: Drivers Gaze and Distracted Behavior- Dataset

description: Synthetic dataset for machine learning models to detect and analyze drivers' various distracted behavior and different gaze zones.
DOI: 10.17632/ptcp7rp3wb.2
title: Synthetic Distracted Driving (SynDD1) Dataset

description: Synthetic dataset for machine learning models to detect and analyze drivers' various distracted behavior and different gaze zones.
DOI: 10.17632/ptcp7rp3wb.3
title: Synthetic Distracted Driving (SynDD1) Dataset

description: Synthetic dataset for machine learning models to detect and analyze drivers' various distracted behavior and different gaze zones.
DOI: 10.57680/asep.0555729
title: Mapa a tabulky půdních subtypů v české části povodí Labe pro model SWIM.
title: The Map and tables of soil subtypes of the Czech part of the Elbe river basin for the hydrological model SWIM

description: Mapa půdních subtypů byla odvozena nástroji GIS z mapy půdních typů (Taxonimického klasifikačního systému) v měřítku 1 : 200 000 pro českou část povodí Labe. Subtypy byly odvozeny na základě analýzy podílů zrnitostních frakcí získaných ze souboru 1000 analyzovaných půdních sond, z Komplexního průzkumu půd, obsahujícího fyzikální a hydropedologické vlastnosti pro jednotlivé sondy. Jednotlivým subtypům jsou přiřazena čísla a jsou pro ně definovány tabulky hydropedologických vlastností vyžadované jako jeden ze vstupů hydrologického modelu SWIM (Soil and Water Integrated Model), příp. SWAT (Soil & Water Assessment Tool). Tabulky obsahují zrnitostní frakce, mocnost horizontů, objemovou hmotnost, pórovitost, podíl organické hmoty, nasycenou hydraulickou vodivost, polní kapacitu a dostupné vodní kapacity půdy.
description: The soil subtype map was derived using GIS from the 1:200 000 Soil type map of the Czech Republic delineating particular soil types. Specific subtypes were determined based on textural characteristics obtained from the assemblage of one thousand soil pits located in the Elbe River catchment analysed in the framework of the Czech complex soil survey from 60’s of the 20th century. The Czech complex soil survey contains the information about physical and chemical properties for particular excavated soil pits. Soil subtypes were delineated as a unique combination of the soil type obtained from the Soil map and the soil physical characteristics which resulted into 40 soil subtypes. Each soil subtype is characterized by the table of soil properties which are required by mesoscale hydrological models e.g. Soil & Water Assessment Tool (SWAT) or Soil and Water Integrated Model (SWIM). The tables contain the information about the depth of particular soil layers and for each of them they encompass textural characteristics, bulk density, porosity, organic matter content, saturated hydraulic conductivity, field capacity and available water capacity.]
DOI: 10.6084/m9.figshare.21345283.v1
title: Supplementary table S1-8 from Local adaptation to hosts and parasitoids shape <i>Hamiltonella defensa</i> genotypes across aphid species

description: Supplementary tables S1 to S8
DOI: 10.6084/m9.figshare.21345283
title: Supplementary table S1-8 from Local adaptation to hosts and parasitoids shape <i>Hamiltonella defensa</i> genotypes across aphid species

description: Supplementary tables S1 to S8
DOI: 10.5281/zenodo.7214386
title: Multi-Wavelength Biometric Aquisition System (MWBAS)

description: The dataset includes sample images recorded from Mutli-Wavelength Biometric Acquisition System from five (5) persons. For each person we provide raw data and processed. The raw data include images as obtained from the camera. The names of files in this mode correspond to the timing of acquisitions (in seconds). The processed data are the images extracted from the raw data where the diodes configuration is provided additional in the names (e.g., D02 is NIR diode no. 2, DEXT is external illumination diode). These are sample data for the publication that will be under consideration in MDPI Sensors soon. The link to the original paper describing the system will be provided after successful publication.
DOI: 10.5281/zenodo.7214385
title: Multi-Wavelength Biometric Aquisition System (MWBAS)

description: The dataset includes sample images recorded from Mutli-Wavelength Biometric Acquisition System from five (5) persons. For each person we provide raw data and processed. The raw data include images as obtained from the camera. The names of files in this mode correspond to the timing of acquisitions (in seconds). The processed data are the images extracted from the raw data where the diodes configuration is provided additional in the names (e.g., D02 is NIR diode no. 2, DEXT is external illumination diode). These are sample data for the publication that will be under consideration in MDPI Sensors soon. The link to the original paper describing the system will be provided after successful publication.
DOI: 10.3217/7ehnd-cg060
title: Real-time Detection and Recognition of Machine-Readable Zones with Mobile Devices (Part 2)

description: Dataset For the Publication: A. Hartl, C. Arth, and D. Schmalstieg, "Real-time Detection and Recognition of Machine-Readable Zones with Mobile Devices," in International Conference on Computer Vision Theory and Applications (VISAPP), 2015.
DOI: 10.3217/xa3yk-h1w60
title: Real-time Detection and Recognition of Machine-Readable Zones with Mobile Devices (Part 1)

description: Dataset For the Publication: A. Hartl, C. Arth, and D. Schmalstieg, "Real-time Detection and Recognition of Machine-Readable Zones with Mobile Devices," in International Conference on Computer Vision Theory and Applications (VISAPP), 2015.
DOI: 10.5281/zenodo.7194480
title: Replication package for: "Auctions with Privately Known Capacities: Understanding Competition among Renewables"

description: Code and data used to produce the empirical results in Fabra and Llobet (2022) "Auctions with Privately Known Capacities: Understanding Competition among Renewables". The regression results were obtained using <em>Stata</em>. Data has been further processed in <em>R</em>. The equilibrium price offers have been simulated using <em>Julia</em>.
DOI: 10.5281/zenodo.7194479
title: Replication package for: "Auctions with Privately Known Capacities: Understanding Competition among Renewables"

description: Code and data used to produce the empirical results in Fabra and Llobet (2022) "Auctions with Privately Known Capacities: Understanding Competition among Renewables". The regression results were obtained using <em>Stata</em>. Data has been further processed in <em>R</em>. The equilibrium price offers have been simulated using <em>Julia</em>.
DOI: 10.5281/zenodo.7106204
title: mzML Standard Files from a Diatom

description: These are mzML files created with Proteowizard. The RAW files are available via MetaboLights Reporistory and are described in the article - DOI: 10.1016/j.phytochem.2022.113267 The files are named according to the standard molecule measured with LCMS2. The pure standards used are Betaine, Pipecolatic acid, Methionine Sulfoxide, N,N-dimethylarginine, O-acetyl-L-carnitine, O-propanoyl-L-carnitine, O-butanoyl-L-carnitine, Isovalerylcarnitine, and Cysteinolic acid. The study is done on <em>Skeletonema marinoi </em>which is a diatom. The files with Sc_st are standard+algal QC, and Sc_QC are algal QC.
DOI: 10.5281/zenodo.7107095
title: LCMS2 Spectra from Bryophytes Dataset

description: This mzML file contains LCMS2 933 features FROM bryophytes dataset published with the DOI 10.3390/ijms22063251
DOI: 10.5281/zenodo.6528930
title: Spectral Libraries for Metabolome Annotation Workflow (MAW)

description: MassBank saved at 2022-09-12 10:28:52 with release version 2022.06 as mbankNIST.rda (MsBackendMsp)<br> GNPS saved at 2022-09-12 13:37:42 as gnps.rda (MsBackendMsp)<br> HMDB saved with the release version 4 as hmdb.rda (MsBackendHmdb) All .rda files can be reloaded into R session using the respective Backends. These databases were created for MAW version 1. hmdb_dframe_str.csv is downloaded from HMDB Downloads for structural information on HMDB IDs present in the HMDB version 4 spectral data.
DOI: 10.6084/m9.figshare.21345403
title: Dataset for tube morphospace analysis from Exceptional soft tissue preservation reveals a cnidarian affinity for a Cambrian phosphatic tubicolous enigma

description: Comma separated character taxon matrix of tube phenotype characters
DOI: 10.6084/m9.figshare.21345406
title: Dataset for phylogenetic analyses with MrBayes commands from Exceptional soft tissue preservation reveals a cnidarian affinity for a Cambrian phosphatic tubicolous enigma

description: NEXUS file formatted for MrBayes with commands necessary to execute the analyses
DOI: 10.6084/m9.figshare.21345406.v1
title: Dataset for phylogenetic analyses with MrBayes commands from Exceptional soft tissue preservation reveals a cnidarian affinity for a Cambrian phosphatic tubicolous enigma

description: NEXUS file formatted for MrBayes with commands necessary to execute the analyses
DOI: 10.6084/m9.figshare.21345409
title: Dataset for phylogenetic analyses from Exceptional soft tissue preservation reveals a cnidarian affinity for a Cambrian phosphatic tubicolous enigma

description: Mesquite readable file in NEXUS format
DOI: 10.6084/m9.figshare.21345409.v1
title: Dataset for phylogenetic analyses from Exceptional soft tissue preservation reveals a cnidarian affinity for a Cambrian phosphatic tubicolous enigma

description: Mesquite readable file in NEXUS format