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CATCH-EyoU: Processes in Youth's Construction of Active EU Citizenship: Cross-national Wave 1 Questionnaires: Italy, Sweden, Germany, Greece, Portugal, Czech Republic, UK, and Estonia

Abstract This work package (WP7) sets out to address open questions concerning factors associated with youth’s active EU citizenship. In particular, assumed (directions of) influences of relevant factors and their joint workings will be examined among adolescents and young adults in various situations of life, across different EU countries representing variations in, e.g., economic situation/crisis, political conditions, and history as an EU member state. This dataset presents the first wave of data collection. All teams collected data from a quite diverse sample of young people from their respective country. We achieved the targeted sample sizes due to our improved recruitment strategies (based on our experiences from the pilot assessment). More precisely, we could attract more than 10,400 young people to participate in our study (concrete numbers depend on sample selection). Since we initially set out to reach at least 6,400 young people, we were quite successful in our recruitment. Paper-and pencil as well as online modes of assessment proved to be equally effective. The data set integrates data resulting from the first submission wave (wave 1) of Catch-EyoU Questionnaire. The questionnaire was submitted to adolescents and young adults from Italy, Sweden, Germany, Greece, Portugal, Czech Republic, UK, and Estonia. Catch-EyoU Questionnaire was focused on attitudinal, identity, and behavioral aspects of European citizenship, on youth engagement and participation on the regional and national levels as well as on fostering and limiting conditions affecting these. Earlier research is far more restricted in terms of insights into identity and behavioral aspects of participation on the European level and relevant processes, as well as in terms of cross-national comparisons based on a substantial number of countries from different European regions. The data can be reused by researchers who want to compare our data with similar data collected at other points in historical time as well as in other countries than the eight European ones included. Likewise, stakeholders may be interested in reanalyzing our data particularly with a focus on descriptive survey-type information of European citizenship among youth across Europe. File specifics This final working dataset is a cleaned version of raw data. The cleaning procedure involved (1) removing participants who left the survey on first pages of the questionnaire; (2) removing participants with clearly unreliable responses (i.e. choosing the same response option through the questionnaire); (3) removing participants who indicated age under 14 or over 30 in both waves, or indicated age under 14 or over 30 in one wave and had a missing value on age in the other. Two filter variables based on participants’ age are present in the dataset: <ul> <li>A_Filter_Age1 – selects participants who indicated age between 14-30 or did not indicate age at wave 1</li> <li>A_Filter_Age2 – selects participants who indicated age between 14-30 at wave 1</li> </ul> Other technical variables refer to participants’ unique identification code (ID), country of data collection (Country), and cohort (Cohort; younger versus older). Please note that the cohort variable does not strictly refer to participants’ actual age, but it indicates whether he or she completed the questionnaire intended for adolescents (younger) or young adults (older). Data file is in a proprietary format (SPSS .sav format) but it can be opened through “R”, a free software environment for statistical computing and graphics, using different “R” libraries (such as “foreign”).

CATCH-EyoU: Processes in Youth's Construction of Active EU Citizenship: Cross-national Pilot Questionnaires

Abstract This final working dataset is a cleaned version of raw data from our pilot study. The cleaning procedure involved (1) removing participants who left the survey on first pages of the questionnaire; (2) removing participants with clearly unreliable responses (i.e. choosing the same response option through the questionnaire); (3) removing participants who indicated age under 14 or over 30. The data set integrates the data resulting from 1390 Catch-EyoU Pilot Questionnaires submitted to adolescents and young adults from Italy, Sweden, Germany, Greece, Portugal, Czech Republic, UK, and Estonia. The purpose of creating this cross-national data set is to test and compare the quality of items and scales across countries. Given the nature of items and scales a comparable data base does not exist elsewhere. The data can be reused by researchers who want to run more in-depth analyses of the items and scales as well as to a limited extent for substantive analyses. File specifics Technical variables refer to participants’ unique identification code (ID), country of data collection (Country), cohort (Cohort; younger versus older), age group computed based on participants’ age (Agegroup_computed), type of assessment (Assess; paper versus online), and questionnaire version (Version; items were ordered differently between versions A and B). Please note that the cohort variable does not strictly refer to participants’ actual age, but it indicates whether he or she completed the questionnaire intended for adolescents (younger) or young adults (older). Data file is in a proprietary format (SPSS .sav format) but it can be opened through “R”, a free software environment for statistical computing and graphics, using different “R” libraries (such as “foreign”).

CATCH-EyoU: D3.1 Policy Analysis: Cross-National Reports

Abstract The data set includes data from the analysis of written public documents on youth policies produced at European, national and local level during a three years period between 2012-2014. The policy analysis aims at identifying dominant institutional policy discourses subsumed at European level and within eight EU countries: Sweden, Italy, Germany, Czech Republic, Portugal, United Kingdom, Estonia, and Greece. The data sets include full citation of data sources of policy documents and data resulting from the content analysis performed on the policy documents. The policy analysis reinvigorates the existing research conducted in this area (cf. Bee, Guerrina, 2014) by exploring youth policies and policy responses in the context of a contemporary political and social climate where European identity is deeply contested, and where the global migration effects of regional conflicts have also challenged understandings of and claims to European citizenship. The data can be reused by researchers who want to compare our data with similar data collected in different countries. Also, other stakeholders may be interested in reanalyzing our data for comparative aims.

CATCH-EyoU WP3: D3.2 Perspectives of Policy Makers on EU and on Youth Active Citizenship: a Cross-National Report

Abstract The data set includes data from the analysis of semi-structured interviews collected with politicians, public officials and representatives of youth umbrella organizations at national and regional/local level. The aim of the interviews is to explore policy makers’ views on whether and to what extent European Youth policies have been implemented at national, regional and local levels in various member states. Moreover, policy makers are asked to identify actual and future challenges in the field of youth policies. Previous research has only partially answered to these questions; moreover, comparing different policy makers’ perspectives allows researchers to identify tensions and contradictions in policies implementation, providing new insight for improving policy implementation. The data can be reused by researchers who want to compare our data with similar data collected in different countries. Also, other stakeholders may be interested in reanalyzing our data for comparative aims.

opencc-by-nc-4.0Dec 2017View details →

CATCH-EyoU: Representation of the EU and Youth Active Citizenship in Educational Contexts: Cross-national Textbook Analysis

The data set contains the results of the quantitative and qualitative content analysis of local textbooks from different subjects (e.g. ESL, EFL, History, Social Sciences, Civic Education) at ISCED 3 level (upper secondary schools as well as vocational schools). Data collection was carried out using a specifically designed analytical grid (Ribeiro; Ferreira & Menezes, 2016). The grid was tested and applied by national research teams (Portugal, Czechia, Estonia, Germany, Italy and Sweden) participating to Catch-EyoU project – each textbook analysis implied filling one grid. In total, 34 textbooks were analysed across the participating countries. All grids include excerpts of the textbooks (text or images, whenever legally possible). Quantitative analysis data and bibliographical metadata are also included. Data collection and analysis was aimed at getting an overall picture of school texts, including the analysis of number of paragraphs, pages and exercises about topics such as the EU, active citizenship, intercultural awareness, political involvement. Although textbook analysis is relatively common and there are other European projects that include it, the data analysis grid is original (and relatively innovative in the area) as it directly relates to the project topics. The potential users can be other researchers who might be interested not only in the grid but also in the analysis itself, either to use it with other textbooks or compare it with existing research or with similar data collected in different countries; teachers might also find it useful to explore the analysis as a basis for their practice. Also other stakeholders may be interested in reanalyzing our data for comparative aims.

opencc-by-4.0Mar 2019View details →

Putative parapoxvirus-associated foot disease in the endangered huemul deer (Hippocamelus bisulcus) in Bernardo O'Higgins National Park, Chile

The huemul (Hippocamelus bisulcus) is an endangered cervid endemic to southern Argentina and Chile. Here we report foot lesions in 24 huemul from Bernardo O’Higgins National Park, Chile, between 2005 and 2010. Affected deer displayed variably severe clinical signs, including lameness and soft tissue swelling of the limbs proximal to the hoof or in the interdigital space, ulceration of the swollen tissues, and some developed severe proliferative tissue changes that caused various types of abnormal wear, entrapment, and/or displacement of the hooves and/or dewclaws. Animals showed signs of intense pain and reduced mobility followed by loss of body condition and recumbency, which often preceded death. The disease affected both genders and all age categories. Morbidity and mortality reached 80% and 40%, respectively. Diagnostics were restricted to a limited number of cases from which samples were available. Histology revealed severe papillomatous epidermal hyperplasia and superficial dermatitis. Electron microscopy identified viral particles consistent with viruses in the Chordopoxvirinae subfamily. The presence of parapoxvirus DNA was confirmed by a pan-poxvirus PCR assay, showing high identity (98%) with bovine papular stomatitis virus and pseudocowpoxvirus. This is the first report of foot disease in huemul deer in Chile, putatively attributed to poxvirus. Given the high morbidity and mortality observed, this virus might pose a considerable conservation threat to huemul deer in Chilean Patagonia. Moreover, this report highlights a need for improved monitoring of huemul populations and synergistic, rapid response efforts to adequately address disease events that threaten the species.

opencc-by-4.0Mar 2019View details →

Pilot 1 National Gallery collection literals

These datasets enclose information about the venue participating in pilot 1, The National Gallery (NG) London and the NG collection.  These datasets will be used to model the ontology of the paintings of the NG collection. The datasets will be composed of the extensions of the upper-level ontology used to describe the types and relationships required to capture the NG collection and the actual literal data related to the collection. They will be created by NG staff along with assistants from other CROSSCULT researchers, as part of other related NG projects and an ongoing program within the NG to develop and enhance its collection information. The final literal dataset will take the form of structured XML files, with the information modelled in OWL. The types and relationships captured within these files will be documented within the overall ontology, which will also take the form of structured XML. The overall ontology will be based on the CIDOC-CRM cultural heritage standard, along with other related ontologies and enhancements that have been selected and or developed within the CROSSCULT project. The core (Tombstone) data will be retrieved from NG collection information held in the National Gallery Collection Management System (CMS) TMS (The Museum System™) and will be presented to the CROSSCULT app via a new API.

opencc-by-4.0May 2019View details →

Supplementary data: Food product categories compared against National Act 26905 maximum sodium levels (n 864).

Supplementary data: Food product categories compared against National Act 26905 maximum sodium levels (n 864). Article: Monitoring sodium content in processed foods in Argentina 2017-2018: compliance with national legislation and regional targets. (submitted for publication to Nutrients).

opencc-by-4.0Jun 2019View details →

2014 US National Emissions Inventory data

This is the emissions dataset used in the following publication: Inequity in consumption of goods and services adds to racial–ethnic disparities in air pollution exposure. Christopher W. Tessum, Joshua S. Apte, Andrew L. Goodkind, Nicholas Z.Muller, Kimberley A. Mullins, David A. Paolella, Stephen Polasky, Nathaniel P. Springer, Sumil K. Thakrar, Julian D. Marshall, Jason D. Hill. Proceedings of the National Academy of Sciences. 2019, 116 (13) 6001-6006; DOI:10.1073/pnas.1818859116 All data is originally from the U.S. Environmental Protection Agency and is subject to any licenses or restrictions applicable to the original data. The dataset is reproduced here for archival purposes.

opencc-by-sa-4.0Jul 2019View details →

Photos from DH2019 DH & Lib SIG Preconference workshop on 8 July 2019 in KB National Library of the Netherlands

A selection of photos taken at the DH2019 DH & Lib SIG Preconference workshop on 8 July 2019 in KB National Library of the Netherlands

UK National Crystallography Service benchmark experiment 1

Data part of a bench-marking experiment. Data collected at Diamond Light Source, beamline I19. sample: 'challenging' sum formula: C13 H6 F5 N Wavelength: 0.6889 Angstrom Temperature: 100K Data integrated with Crysalis PRO

UK National Crystallography Service benchmark experiment 2

Data part of a bench-marking experiment. Data collected at National Crystallography Service, Southampton. sample: 'challenging' sum formula: C13 H6 F5 N Wavelength: 0.71075 Angstrom Temperature: 100K Data integrated with Crysalis PRO

UK National Crystallography Service benchmark experiment 3

Data part of a bench-marking experiment. Data collected at Diamond Light Source, beamline I19. sample: 'easy' sum formula: C20 H16 N2 O2 Wavelength: 0.6889 Angstrom Temperature: 100K Data integrated with DIALS using XIA2

opencc-by-4.0Dec 2019View details →

Fig. 2 in The Trichoptera diversity of Nyungwe National Park, Rwanda, with description of a new species in the family Pisuliidae

Fig. 2. Number of collected individuals per family from Malaise traps and light traps combined.

opencc-by-4.0Dec 2019View details →

Figure 3. Camera trap 2 in Evidence of presence of Marbled Cat Pardofelis marmorata (Martin, 1837) in Neora Valley National Park, Central Himalaya, India

Figure 3. Camera trap 2 recording the second individual.

opencc-by-4.0Dec 2020View details →

Figure 3 in First photographic evidence of Panthera tigris from Neora Valley National Park, Central Himalayas, India

Figure 3. Recorded tiger left view at Kattus Dara, Neora Valley National Park.

opencc-by-4.0Dec 2020View details →

Figure 1 in First photographic evidence of Panthera tigris from Neora Valley National Park, Central Himalayas, India

Figure 1. Map of Neora Valley National Park with camera trap location.

opencc-by-4.0Dec 2022View details →

Figure 2 in Community analysis of soil-inhabiting nematodes in natural vegetations of Singalila National Park, West Bengal (India)

Figure 2. Taxonomic diversity (abundance and genera) of nematode orders in Singalila National Park.

Figure 1 in Diversity of Bees (Hymenoptera: Apoidea) in and around Namdapha National Park, with an Updated Checklist from Arunachal Pradesh, India

Figure 1. Sampling location of bees in Arunachal Pradesh.