cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25768/ubi-c4g-epos-gnssproductsportal
title: EPOS-GNSS Products Portal

description: The EPOS Products Portal disseminates GNSS (Global Navigation Satellite System) products from EPOS(European Plate Observing System) ERIC (European Research Infrastructure Consortium) Analysis/Combinatorial  Centers. The portal provides  products (daily and weekly GNSS time series in different reference frames, estimated velocities, and strain rate maps)
produced by the following analysis/combinatorial centers: Istituto Nazionale di Geofisica e Vulcanologia - Centro Nazionale di Terremoti, Rome, Italy (INGV), LM Lantmäteriet, Sweden (LM), Royal Observatory of Belgium, Belgium (ROB-EUREF), Lechner Knowledge Center - EUREF (SGO-EPND), Université Grenoble Alpes, France (UGA-CNRS) and Department of Geodesy and Geodetic Astronomy, Warsaw University of Technology, Poland (WUT-EUREF) using station data and metadata provided by the EPOS-GNSS Agencies community.
Acronym EPOSGNSSProducts
Name EPOS GNSS Products
Agency UBI
Country Portugal (PRT)
Contact name GNSS Products support team
Contact email support@gnssproducts.epos.ubi.pt
Data Citation Fernandes, R., Crocker, R., Cardoso, R., Geraldes, F., Carvalho, L. (2022): EPOS-GNSS Products Portal, https://doi.org/xxxxxxx/UBI-C4G-EPOS-GNSSProductsPortal
ResourceType Interactive resource
ResourceURL https://gnssproducts.epos.ubi.pt/
License CC BY 4.0
Keywords GNSS, EPOS, PRODUCTS, METADATA, VELOCITIES, TIMESERIES, STRAIN MAPS
GCMD Science Keywords EARTH SCIENCE > SOLID EARTH > GEODETICS
EARTH SCIENCE SERVICES > METADATA HANDLING
EARTH SCIENCE SERVICES > METADATA HANDLING > DATA DISCOVERY
EARTH SCIENCE SERVICES > DATA MANAGEMENT/DATA HANDLING > CATALOGING
EARTH SCIENCE SERVICES > METADATA HANDLING > METADATA TRANSFORMATION/CONVERSION
EARTH SCIENCE SERVICES > DATA ANALYSIS AND VISUALIZATION > DATA VISUALIZATION
EARTH SCIENCE SERVICES > REFERENCE AND INFORMATION SERVICES
Language English
RelatedIdentifier      IsPartOf 10.17178/GNSS.products.all
RelatedIdentifier      Cites https://gnssdata-epos.oca.eu/#/site
RelatedIdentifier  ResourcePart 10.24414/ROB-EUREF-C2130
RelatedIdentifier  ResourcePart 10.17178/GNSS.products.Europe
RelatedIdentifier  ResourcePart 10.17178/GNSS.products.EPOS.2019
Formats POS, SINEX, Vel, json
DOI: 10.21965/ijhpr.2022.002
title: Monitoring chronic heart failure: Adaptive choice-based conjoint analysis to elicit individual level patients’ preferences
DOI: 10.5281/zenodo.7696727
title: Exercise and biomakers of oxidative stress skeletal muscle

description: Dataset - muscle skeletal oxidative stress biomakers
DOI: 10.5281/zenodo.7696726
title: Exercise and biomakers of oxidative stress skeletal muscle

description: Dataset - muscle skeletal oxidative stress biomakers
DOI: 10.25768/ubi-c4g-epos-gnssproductsdataset
title: EPOS-GNSS Products Dataset

description: The EPOS Products Dataset aggregates GNSS (Global Navigation Satellite System) products from EPOS(European Plate Observing System) ERIC (European Research Infrastructure Consortium) Analysis/Combinatorial  Centers. The server provides open access to GNSS products (daily and weekly GNSS time series in different reference frames, estimated velocities, and strain rate maps)
producte by the following analysis/combinatorial centers: Istituto Nazionale di Geofisica e Vulcanologia - Centro Nazionale di Terremoti, Rome, Italy (INGV), LM Lantmäteriet, Sweden (LM), Royal Observatory of Belgium, Belgium (ROB-EUREF), Lechner Knowledge Center - EUREF (SGO-EPND), Université Grenoble Alpes, France (UGA-CNRS) and Department of Geodesy and Geodetic Astronomy, Warsaw University of Technology, Poland (WUT-EUREF) using station data and metadata provided by the EPOS-GNSS Agencies community.
Acronym EPOSGNSSProductsDataset
Name EPOS GNSS Products Dataset
Agency UBI
Country Portugal (PRT)
Contact name GNSS Products Dataset support team
Contact email support@gnssproducts.epos.ubi.pt
Data Citation Fernandes, R., Crocker, R., Cardoso, R., Geraldes, F., Carvalho, L. (2022): EPOS-GNSS Products Dataset, https://doi.org/xxxxxxx/UBI-C4G-EPOS-GNSSProductsDataset
ResourceType Dataset
ResourceURL https://193.136.66.29:8101
License CC BY 4.0
Keywords GNSS, EPOS, PRODUCTS, METADATA, VELOCITIES, TIMESERIES, STRAIN MAPS
GCMD Science Keywords EARTH SCIENCE > SOLID EARTH > GEODETICS
EARTH SCIENCE SERVICES > METADATA HANDLING
EARTH SCIENCE SERVICES > METADATA HANDLING > DATA DISCOVERY
EARTH SCIENCE SERVICES > DATA MANAGEMENT/DATA HANDLING > CATALOGING
EARTH SCIENCE SERVICES > METADATA HANDLING > METADATA TRANSFORMATION/CONVERSION
EARTH SCIENCE SERVICES > REFERENCE AND INFORMATION SERVICES
Date 2022
Language English
RelatedIdentifier      IsPartOf 10.17178/GNSS.products.all
RelatedIdentifier      Cites http://gnssproducts.epos.ubi.pt
RelatedIdentifier  ResourcePart    10.24414/ROB-EUREF-C2130
RelatedIdentifier  ResourcePart 10.17178/GNSS.products.Europe
RelatedIdentifier  ResourcePart 10.17178/GNSS.products.EPOS.2019
Formats POS, SINEX, Vel
DOI: 10.25768/ubi-c4g-epos-gnssportuguesedataportal
title: Portuguese EPOS-GNSS National Node

description: Description The C4G-EPOS Data Portal disseminates GNSS (Global Navigation Satellite System) data from Portuguese CORS (Continuously Operating Reference Stations) in the framework of EPOS(European Plate Observing System) ERIC (European Research Infrastructure Consortium). C4G-EPOS uses GLASS, the software package developed by the EPOS-GNSS community. It contains data provided by several Portuguese Institutions: DGT (Direção Geral do Território), REPRAA (Rede de Estações Permanentes da Região Autónoma dos Açores), REPRAM (Rede de Estações Permanentes da Região Autónoma da Madeira), Universidade da Beira Interior (UBI). It provides quality-control of all distributed data. The C4G/UBI node disseminates GNSS data from stations managed by: C4G (Collaboratory for Geosciences), DGT (Direção Geral do Território), REPRAA (Rede de Estações Permanentes Região Autónoma dos Açores), RAEGE (Rede Atlântica de Estações Geodinâmicas e Espaciais), SEGAL (UBI/IDL) (Space & Earth Geodetic Analysis Center). This node accepts data from Portuguese GNSS Stations that comply with required quality levels of operation and for which the Node representative has an established agreement. The EPOS-GNSS Portuguese Node provides data and metadata for a set of national stations
Name Portuguese EPOS-GNSS Data Portal
Agency C4G
Country Portugal (PRT)
Contact name UBI-C4G-EPOS GNSS team
Contact email contact@gnss-epos.eu
Data Citation Fernandes, R., Crocker, R., Cardoso, R., Geraldes, F., Carvalho, L. (2022): Portuguese EPOS-GNSS National Node Data, https://doi.org/xxxxxxx/UBI-C4G-EPOS-GNSSPortugueseDataPortal
Resource Type Interactive resource
System Access URL https://glass.epos.ubi.pt/
License CC BY 4.0
Keywords GNSS, EPOS, DATA, METADATA
GCMD Science Keywords EARTH SCIENCE > SOLID EARTH > GEODETICS
EARTH SCIENCE SERVICES > METADATA HANDLING
EARTH SCIENCE SERVICES > METADATA HANDLING > DATA DISCOVERY
EARTH SCIENCE SERVICES > DATA MANAGEMENT/DATA HANDLING > CATALOGING
EARTH SCIENCE SERVICES > METADATA HANDLING > METADATA TRANSFORMATION/CONVERSION
EARTH SCIENCE SERVICES > DATA ANALYSIS AND VISUALIZATION > DATA VISUALIZATION
EARTH SCIENCE SERVICES > REFERENCE AND INFORMATION SERVICES
Language English
RelatedIdentifier      IsPartOf 10.17178/GNSS.products.all
RelatedIdentifier      Cites https://gnssdata-epos.oca.eu/#/site
DOI: 10.34740/kaggle/ds/2962449
title: AdultoMayor_11_fc
DOI: 10.5281/zenodo.7696775
title: BCdatabaser - coi.melipona.none.2023-03-03.zip

description: Parameters: --marker-search-string COI OR CO1 OR 'Cytochrome oxidase 1' OR 'Cytochrome oxidase I' --taxonomic-range Melipona --sequence-length-filter 100:2000 --sequences-per-taxon 9
description: This dataset was automatically created with data from NCBI using the BCdatabaser tool
description: {"references": ["Keller et al. (2019) BCdatabaser: on-the-fly reference database creation for (meta-)barcoding. EcoEvoRxiv (2019); https://doi.org/10.32942/osf.io/cmfu2 - https://github.com/molbiodiv/bcdatabaser", "eutils: Sayers E. E-utilities Quick Start. 2008 Dec 12 [Updated 2018 Oct 24]. In: Entrez Programming Utilities Help [Internet]. Bethesda (MD): National Center for Biotechnology Information (US); 2010-. Available from: https://www.ncbi.nlm.nih.gov/books/NBK25500/", "NCBI::Taxonomy: F\u00f6rster et al. https://github.com/greatfireball/NCBI-Taxonomy - F\u00f6rster F. greatfireball/NCBI-Taxonomy v0.90. Zenodo. 2018 Oct 15; https://doi.org/10.5281/zenodo.1462861", "SeqFilter: Hackl et al. https://github.com/BioInf-Wuerzburg/SeqFilter", "dispr: Cofield et al. https://github.com/douglasgscofield/dispr", "Krona: Ondov BD, Bergman NH, and Phillippy AM. Interactive metagenomic visualization in a Web browser. BMC Bioinformatics. 2011 Sep 30; 12(1):385."]}
DOI: 10.5281/zenodo.7696753
title: jiachengzhao/tree-cooling-efficiency: dataset_v1.0

description: No description provided.
DOI: 10.5281/zenodo.7696774
title: BCdatabaser - coi.melipona.none.2023-03-03.zip

description: Parameters: --marker-search-string COI OR CO1 OR 'Cytochrome oxidase 1' OR 'Cytochrome oxidase I' --taxonomic-range Melipona --sequence-length-filter 100:2000 --sequences-per-taxon 9
description: This dataset was automatically created with data from NCBI using the BCdatabaser tool
description: {"references": ["Keller et al. (2019) BCdatabaser: on-the-fly reference database creation for (meta-)barcoding. EcoEvoRxiv (2019); https://doi.org/10.32942/osf.io/cmfu2 - https://github.com/molbiodiv/bcdatabaser", "eutils: Sayers E. E-utilities Quick Start. 2008 Dec 12 [Updated 2018 Oct 24]. In: Entrez Programming Utilities Help [Internet]. Bethesda (MD): National Center for Biotechnology Information (US); 2010-. Available from: https://www.ncbi.nlm.nih.gov/books/NBK25500/", "NCBI::Taxonomy: F\u00f6rster et al. https://github.com/greatfireball/NCBI-Taxonomy - F\u00f6rster F. greatfireball/NCBI-Taxonomy v0.90. Zenodo. 2018 Oct 15; https://doi.org/10.5281/zenodo.1462861", "SeqFilter: Hackl et al. https://github.com/BioInf-Wuerzburg/SeqFilter", "dispr: Cofield et al. https://github.com/douglasgscofield/dispr", "Krona: Ondov BD, Bergman NH, and Phillippy AM. Interactive metagenomic visualization in a Web browser. BMC Bioinformatics. 2011 Sep 30; 12(1):385."]}
DOI: 10.5281/zenodo.7696679
title: jiachengzhao/tree-cooling-efficiency: dataset_v1.0

description: No description provided.
DOI: 10.5281/zenodo.7690021
title: dataset_eastern_german_crisis_discourse_1976-86

description: This dataset has been considered suitable for exploring and analysing the Eastern German Crisis Discourse from 1976 to 1986, and consists of important speeches contained in five volumes of the protocol of the party congress of the Socialist Unity Party of Germany (SED). The speeches have been digitized by scanning them into PDF files and then converting them into machine-readable TEXT files using OCR software. These TEXT files have been processed with TagAnt (v.2.0.4 Windows 10 64-bit), an annotation software. According to the data returned from AntConc (v.4.0.5 Windows 10 64-bit) the dataset contains four corpora: a main corpus with a total of 184,750 tokens and 16,143 types, a 'corpus A' with 70,533 tokens and 11,964 types, a 'corpus B' with 65,757 tokens and 11,967 types, and a 'corpus C' with 48,460 tokens and 8,145 types.
DOI: 10.5281/zenodo.7690020
title: dataset_eastern_german_crisis_discourse_1976-86

description: This dataset has been considered suitable for exploring and analysing the Eastern German Crisis Discourse from 1976 to 1986, and consists of important speeches contained in five volumes of the protocol of the party congress of the Socialist Unity Party of Germany (SED). The speeches have been digitized by scanning them into PDF files and then converting them into machine-readable TEXT files using OCR software. These TEXT files have been processed with TagAnt (v.2.0.4 Windows 10 64-bit), an annotation software. According to the data returned from AntConc (v.4.0.5 Windows 10 64-bit) the dataset contains four corpora: a main corpus with a total of 184,750 tokens and 16,143 types, a 'corpus A' with 70,533 tokens and 11,964 types, a 'corpus B' with 65,757 tokens and 11,967 types, and a 'corpus C' with 48,460 tokens and 8,145 types.
DOI: 10.6084/m9.figshare.21054139
title: The glacial geomorphology of the Mackenzie Mountains region, Canada

description: Shapefiles of geomorphological mapping
DOI: 10.6084/m9.figshare.21054139.v3
title: The glacial geomorphology of the Mackenzie Mountains region, Canada

description: Shapefiles of geomorphological mapping
DOI: 10.6084/m9.figshare.21054139.v2
title: The glacial geomorphology of the Mackenzie Mountains region, Canada

description: Shapefiles of geomorphological mapping
DOI: 10.3886/e185781
title: FLC_hyperammonemia

description: within is the data to replicate our diagnosis
DOI: 10.3886/e185781v1
title: FLC_hyperammonemia

description: within is the data to replicate our diagnosis
DOI: 10.5066/p9r8uzu6
title: Topobathymetric Model of Pu?uhonua o H?naunau National Historical Park, 2011 to 2019

description: In recent years, rising sea levels have threatened critical infrastructure and cultural assets at Pu?uhonua o H?naunau National Historical Park thus motivating the park to make adaptive decisions in managing these key resources. To support the development of decision support tools for sea level rise preparedness, the U.S. Geological Survey (USGS) Coastal National Elevation Database (CoNED) Applications Project has created an integrated 1-meter topobathymetric digital elevation model (TBDEM) for Pu?uhonua o H?naunau National Historical Park. This dataset was developed in collaboration with the University of Hawaii- M?noa Sea Level Center, Department of Interior Pacific Island Climate Adaptation Science Center, and Pu?uhonua o H?naunau National Historical Park. High-resolution coastal topobathymetric data are required to characterize flooding, storms, and sea-level rise inundation hazard zones and other earth science applications, such as the development of wave and storm surge models. This TBDEM consists of the best available multi-source topographic and bathymetric elevation data for Pu?uhonua o H?naunau National Historical Park including neighboring coves and inlets. The Pu?uhonua o H?naunau TBDEM integrates six different data sources including Uncrewed Aerial System (UAS) topographic lidar, UAS structure-from-motion, ground-based lidar, topobathymetric lidar, and bathymetric data obtained from USGS, the National Oceanic and Atmospheric Administration, and the U.S. Army Corps of Engineers. The topographic and bathymetric surveys were sorted and prioritized based on survey date, accuracy, spatial distribution, and point density to develop a model based on the best available topographic and bathymetric elevation data. Because bathymetric data are typically referenced to tidal datums, such as Mean High Water or Mean Low Water, all tidally referenced heights were transformed into orthometric heights based on the GEOID12B geoid, which is normally used for mapping elevation on land using the North American Vertical Datum of 1988. The spatial horizontal resolution is 1-meter. The overall temporal range of the input topography and bathymetry is 2011 to 2019 with a maximum depth extending to 277 meters. The topography surveys were acquired in 2019. The bathymetry surveys were acquired between 2011 and 2013. This data release was funded by a Supplemental Proposal to Grant No. G15AP00140 by the University of Hawaii- M?noa Sea Level Center from the Department of Interior Pacific Island Climate Adaptation Science Center and the USGS Coastal and Marine Hazards and Resources Program.
DOI: 10.6084/m9.figshare.21699464.v1
title: Data associated with "k-mer-based GWAS enhances the discovery of causal variants and candidate genes in soybean"

description: Data associated with the paper "k-mer-based GWAS enhances the discovery of causal variants and candidate genes in soybean"<br> <br> <br> This dataset includes output from GWAS, as well as input genotypic and phenotypic data used in the analysis.<br> <br> <br> More details regarding each file can be found in the README.md file. <br> Code used for the analyses can be found at https://github.com/malemay/soybean_kmer_gwas <br>
DOI: 10.6084/m9.figshare.21699464.v2
title: Data associated with "k-mer-based GWAS enhances the discovery of causal variants and candidate genes in soybean"

description: Data associated with the paper "k-mer-based GWAS enhances the discovery of causal variants and candidate genes in soybean"<br> <br> <br> This dataset includes output from GWAS, as well as input genotypic and phenotypic data used in the analysis.<br> <br> <br> More details regarding each file can be found in the README.md file. <br> Code used for the analyses can be found at https://github.com/malemay/soybean_kmer_gwas <br>
DOI: 10.25810/c862-0e81.58
title: US Television Coverage of Climate Change or Global Warming, 2000-2023 - January 2023

description: The Media and Climate Change Observatory Data monitors 130 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.5281/zenodo.7696708
title: Research data supporting: "Unsupervised Data-Driven Reconstruction of Molecular Motifs in Simple to Complex Dynamic Micelles"

description: This repository contains the set of data shown in the paper <strong>"Unsupervised Data-Driven Reconstruction of Molecular Motifs in Simple to Complex Dynamic Micelles"</strong>, published on The Journal of Physical Chemistry B (DOI:10.1021/acs.jpcb.2c08726).
DOI: 10.17026/dans-zvj-n8ya
title: Trust relations in an ethnically diverse society: Trustworthiness of Dutch natives

description: The purpose of the study is to understand whether people in the Netherlands base their decision to reciprocate someone’s trust or not on the origin of that person.
DOI: 10.17876/plate/dr.3/envelopes/111_91575
title: Digital object identifier (DOI) for the envelope 91575 in archive 111 from the APPLAUSE DR3
DOI: 10.17026/dans-zvk-r2gs
title: LISS panel - Algorithmic Decision Making Systems

description: This study concerns panel members’ knowledge and experience with ADM services.
DOI: 10.17026/dans-zvq-8jzj
title: LISS panel - Video consultation

description: This research investigates the perception of society about new technological possibilities to communicate with health care professionals, such as a medical video consultation.
DOI: 10.17026/dans-zvq-wnzp
title: LISS panel - Work and Schooling - Wave 14

description: This is the fourteenth wave of the LISS Core Study module called Work and Schooling. The survey focuses on labour market participation, job characteristics, pensions, schooling and courses.
DOI: 10.17876/plate/dr.3/envelopes/111_91576
title: Digital object identifier (DOI) for the envelope 91576 in archive 111 from the APPLAUSE DR3
DOI: 10.5281/zenodo.8268336
title: Agriculture Futures and Climate Data Set

description: This is the second release. The agriculturefuturedata.mat includes the realized volatility series of corn, cotton, palm, wheat, and soybean futures. <br> The climatedata.mat includes the average air pollution variables, weighted average air pollution variables, weighted average weather variables, attention to climate change variables, and attention to extreme weather variables.
DOI: 10.17026/dans-zvu-7s6g
title: Psychometric Properties and Factor Structure of the SIPP-SF Questionnaire

description: This study aims to test whether the SIPP-SF scales have good validity, and whether five different domains can be confirmed in this questionnaire. Furthermore, it is hypothed that the SIPP-SF will have good test-retest reliability, and will be sufficiently sensitive to mid- and long-term adaptational changes in personality pathology.
DOI: 10.17026/dans-zw3-btmr
title: LISS panel - List experiment on social desirability bias in attitudes towards immigration

description: This study investigates to what extent social desirability bias affects direct questions typically used to measure attitudes towards immigration, using a list experiment or the ‘item count technique’.
DOI: 10.5281/zenodo.8267056
title: Agriculture Futures and Climate Data Set

description: This is the second release. The agriculturefuturedata.mat includes the realized volatility series of corn, cotton, palm, wheat, and soybean futures. <br> The climatedata.mat includes the average air pollution variables, weighted average air pollution variables, weighted average weather variables, attention to climate change variables, and attention to extreme weather variables.
DOI: 10.17026/dans-zw4-rtd9
title: Volunteering

description: In December 2011, the Immigrant panel was presented the questionnaire regarding volunteering with the aim of gaining insight into the effect of thinking about volunteering on the willingness to engage in all kinds of situations.Respondents were randomly assigned to one of three conditions.In condition 1 respondents were asked to think about a situation in which they had helped another person.In condition 2 respondents were asked to remember a situation in which they had thought or talked about volunteers and their various reasons to do voluntary work.In condition 3 respondents were asked to remember one of their typical days.Respondents described these situations and were asked a few questions about the described situation.At the end of the questionnaire respondents were presented with all sorts of statements about (helping) behavior. They were asked to indicate to what extent they would be willing to engage in that behavior.
DOI: 10.17026/dans-zw8-em7d
title: LISS panel - Tilburg Consumer Outlook Monitor - 2017 December

description: TILCOM systematically tracks economic expectations, emotional responses to economicdevelopments, and consumption coping in response to economic developments. TILCOMfurthermore relates this to specific topical themes.The TILCOM survey is conducted each quarter among members of the LISS panel. Thepanel is divided into three groups, and for every measurement, two of these groups areinterviewed. This means that each panel member will be presented a maximum of threeTILCOM questionnaires per year.In March and June 2015 no TILCOM questionnaire was fielded in the LISS panel.This codebook describes the thirty-second TILCOM measurement, conducted in December2017. In December, an additional measurement was carried out among 428 panelmembers from the group that would normally not be approached for TILCOM (bd17ag).
DOI: 10.17026/dans-zwa-9hzk
title: LISS panel - Hope Barometer - Wave 4

description: This study is the fourth total wave of the Hope barometer and the first wave of 2020. The study is part of the project “Hope as motive” by the Erasmus Happiness Economics Research Organization (EHERO).
DOI: 10.17876/plate/dr.3/envelopes/111_91577
title: Digital object identifier (DOI) for the envelope 91577 in archive 111 from the APPLAUSE DR3
DOI: 10.17026/dans-zwh-rk7y
title: A Cross-National Survey Experiment on Support for Pension Reform

description: This study of 3 waves examines attitudes towards pension reform and aims to answer the question of whether people change their reform preferences when faced with increasing reform pressures such as an ageing society.
DOI: 10.17026/dans-zwk-9yqm
title: LISS panel - Social and Cultural Report - Part 1

description: This is the first part of the data collection of the study Social and Cultural Report 2018 (SCR). The aim of the research is to form an impression of the Dutch identity: what are the most typical characteristics of the Netherlands and which factors contribute to the feeling of connectedness with the Netherlands. Due to the size of the questionnaire, the research was conducted in two parts.
DOI: 10.17876/plate/dr.3/envelopes/111_91578
title: Digital object identifier (DOI) for the envelope 91578 in archive 111 from the APPLAUSE DR3
DOI: 10.17026/dans-zws-2wtv
title: LISS panel - Big Five Inventory 2019 - Wave 1

description: This questionnaire is about testing items of the Big Five Inventory