Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
8,375
datasets available to search
ShareScore release 0.9.0
Dataset results
8,375 results for “nationalism”
Fig. 15 in Haliplidae, Noteridae, Dytiscidae (Coleoptera) du Gabon (12 partie). Parc National Moukalaba - Doudou (mission 2014) et la zone au nord en dehors du Parc
Fig. 15 - Étang en savane (site 4).
Fig. 27 in Type Specimens of Halacarid Mites by Dr. N. G. Makarova Relocated in the Collection of the National Museum of Nature and Science, Tsukuba, Japan
Fig. 27.ɹAgaue kurilensis, glass slide prepared by Dr. Makarova.
Fig. 25 in Type Specimens of Halacarid Mites by Dr. N. G. Makarova Relocated in the Collection of the National Museum of Nature and Science, Tsukuba, Japan
Fig. 25.ɹCopidognathus kamchaticus [nomen nudum], glass slide prepared by Dr. Makarova.
Fig. 17 in Type Specimens of Halacarid Mites by Dr. N. G. Makarova Relocated in the Collection of the National Museum of Nature and Science, Tsukuba, Japan
Fig. 17.ɹCopidognathus pacificus, glass slide prepared by Dr. Makarova.
Fig. 8 in Type Specimens of Halacarid Mites by Dr. N. G. Makarova Relocated in the Collection of the National Museum of Nature and Science, Tsukuba, Japan
Fig. 8.ɹHalacarellus longus [nomen nudum], glass slide prepared by Dr. Makarova.
Fig. 1 in Type Specimens of Halacarid Mites by Dr. N. G. Makarova Relocated in the Collection of the National Museum of Nature and Science, Tsukuba, Japan
Fig. 1.ɹAcanthopalpus hirsutus, glass slide prepared by Dr. Makarova.
Fig. 15 in Intricatonura fjellbergi, a new peculiar genus and species of Neanurini (Collembola: Neanuridae: Neanurinae) from Great Smoky Mountains National Park
Fig. 15. Generic diversity of Neanurini and the number of genera in 4 zoogeographical regions.
Fig. 12 in Haliplidae, Noteridae, Dytiscidae (Coleoptera) du Gabon (12 partie). Parc National Moukalaba - Doudou (mission 2014) et la zone au nord en dehors du Parc
Fig. 12) Doline en savane.
Fig. 1 in Orchid bees (Hymenoptera: Apidae: Euglossini) of Cusuco National Park, State of Cortés, Honduras
Fig. 1. (a) Location of Cusuco National Park and (b) locations of research camps within the park.
Hohe Tauern National Park - Protected Area
<p>Hohe Tauern National Park - Protected Area | Boundary GIS file</p> <p>OGD Downloadable Dataset (JSON)</p>
Fig. 2 in Correction of the holotype citations of three vascular plants at the herbarium of the National Institute of Biological Resources, Korea
Fig. 2. Holotype of Isoetes coreana Y.H. Chung & H.K. Choi.
Fig. 3 in Correction of the holotype citations of three vascular plants at the herbarium of the National Institute of Biological Resources, Korea
Fig. 3. Holotype of Huperzia jejuensis B.Y. Sun & J. Lim.
Animal versus plant protein and adult bone health: a systematic review and meta-analysis from the National Osteoporosis Foundation- S1 File
<p>All calculations and meta-analyses for the systematic review "Animal versus plant protein and adult bone health: a systematic review and meta-analysis from the National Osteoporosis Foundation" were conducted in Stata SE 13 (Stata Corp) using this analytical dataset <strong>(S1 File).</strong></p>
Full Data Set of 16814 tweets from 17 different Twitter accounts of Catalonian Public Servants and Delegates collected between August 19 2013 and September 17 2017 in both original language and translated into Spanish later codified under para-diplomacy or nation branding macro-categories. Includes results for each year.
<p>Full Data Set of 16814 tweets from 17 different Twitter accounts of Catalonian Public Servants and Delegates collected between August 19 2013 and September 17 2017 in both original language and translated into Spanish later codified under para-diplomacy or nation branding macro-categories. Includes results for each year out of a significant sample of 1638 tweets.</p>
OAPEN-CH – The impact of open access on scientific monographs in Switzerland. A project conducted by the Swiss National Science Foundation (SNSF)
<p>The Swiss National Science Foundation (SNSF) launched the OAPEN-CH pilot project in summer 2014. At that time, it had introduced new funding policies that only covered books that were published online and openly accessible after an embargo period of no more than 24 months. The pilot study set out to learn more about the changes to academic publishing and pave the way for future adaptations to funding policies.</p> <p>The findings of the shared learning process are now available. They are encouraging in that they produce a clear verdict for the scientific monograph: a digital edition that is freely available on the Internet increases the trackability, visibility and use of monographs. Open access does not have a negative impact on printed book sales. Facilitating and promoting open access will benefit the academic community and society at large as well as publishers and funders.</p> <p>The results of the OAPEN-CH pilot study have already been integrated into the new open access policy of the SNSF, which entered into force on 1 April 2018.</p>
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 – EXTRACT_Political passivity
<p>This dataset contains the data underlying the following publication: Dahl, V., Amnå, E., Banaji, S., Landberg, M., Šerek, J., Ribeiro, N., ... & Zani, B. (2017). Apathy or alienation? Political passivity among youths across eight European Union countries.European Journal of Developmental Psychology, 1-18, https://doi.org/10.1080/17405629.2017.1404985.</p>
CATCH-EyoU: Meanings and Practices of Youth Participation and Cases of Successful Participation: Cross-national Ethnography Cases
<p>This data set contains data related to the ethnographic qualitative study (participant observations and in-depth interviews) of citizens active in youth citizenship organizations. The selected participants are active in supporting, communicating and engaging young people’s active participation in diverse and varied causes (the environment, anti-austerity protests, pro-European vote, voting at 16, anti-fees and cuts campaigns, rights around civic spaces and youth centers, employment and jobs-related campaigns, issues around race and religion, volunteering, refugees, local housing and education). The ethnographic study was performed in Italy, Sweden, Germany, Greece, Portugal, Czech Republic, UK, and Estonia. </p> <p>The data set consists of: (1) eight national textual reports of detailed observations (ethnographic field notes) of youth civic and political organizations/individual youth. The reports are in English and are fully anonymized and redacted. (2) 48 carefully redacted and ethically permissioned English language transcripts of qualitative interviews (6 interviews from each partner country) and (3) 160 carefully redacted and ethically permissioned English language transcripts of participant-observation field notes (20 A4 pages per country).</p> <p>The names of organisations and personal data of participants or employees have been strictly redacted and anonymized in order to protect participants’ privacy and comply with ethical requirements. Instead generic descriptors such as ‘National Students Organisation’ or ‘Local Municipal Youth Volunteer Centre’ are used throughout.</p> <p>The data can be reused by researchers who want to compare our data with similar data collected in different countries, to perform textual analysis (content analysis and/or data mining) on our data. </p>
CATCH-EyoU: Meanings and Practices of Youth Participation and Cases of Successful Participation: Cross-national Documentary Evidence of Youth Civic and Political Participation Initiatives
<p>The data set integrates documentary evidence of national youth civic and political participation initiatives in Italy, Sweden, Germany, Greece, Portugal, Czech Republic, UK, and Estonia. The evidence are represented as pamphlets, brochures, leaflets, newsletters, social media and websites, you tube videos, meme and vine campaigns. The participation initiatives are selected with a focus on initiatives used by national youth citizenship organizations for generating, supporting, communicating and engaging young people’s active participation in diverse and varied causes (the environment, voting at 16, anti-fees and cuts campaigns, rights around civic spaces and youth centers, employment and jobs-related campaigns, issues around race and religion, volunteering, refugees, local housing and education).</p> <p> </p> <p>The data set consists of: (1) a spreadsheet integrating data from all partner countries, and containing qualitative descriptions of activities and cataloguing associated materials of youth civic and political organizations; (2) a textual report containing exemplar images of publicly available online newsletters, minutes, reports and campaign materials from across the consortium (where feasible), copyright cleared and creative commons screenshots of websites, invitation letters, records of personal conversations with members of youth civic teams, quotes from researcher-conversations on social media or f-2-f with members of teams with names redacted.</p> <p>Personal data and all non-public data has been anonymized in order to protect participants’ privacy.</p> <p>The data can be re-used by researchers who want to compare our cross- European data with similar data collected in different countries, to perform textual analysis (content analysis and/or data mining) on our data. Also other stakeholders may be interested in reanalyzing our data for comparative aims.</p>
CATCH-EyoU: Processes in Youth's Construction of Active EU Citizenship: Cross-national Wave 2 Questionnaires
<p>Abstract</p> <p>WP7 was designed to address questions concerning young Europeans’ EU citizenship, in particular to shed light on factors relevant in processes of construction of citizenship and their joint workings by way of the quantitative analysis of questionnaire data provided by adolescents and young adults in various situations of life across eight EU countries representing variations in, e.g., their economic situation/crisis, political conditions, and their history as EU member state.</p> <p>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 second wave of data collection. WP7 wave 2 data collections have been completed at all eight participating sites in winter 2017/18. The national data sets have been checked and processed including analyses of measurement quality. Finally, a longitudinal cross-national data set has been established which is ready for analyses and available to all Consortium members.</p> <p>The dataset contains more than 7400 questionnaires submitted to adolescents and young adults from Italy, Sweden, Germany, Greece, Portugal, Czech Republic, UK, and Estonia.</p> <p>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. Earlier research on these issues is far more restricted in terms of the substantive scope, namely concerning insights into identity and behavioral aspects of participation on the European level and relevant processes, as well as in terms of the cross-national dimension including a larger number of countries from different European regions.</p> <p>File specifics</p> <p>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.</p> <p>Two filter variables based on participants’ age are present in the dataset:</p> <ul> <li>B_Filter_Age1 – selects participants who indicated age between 14-30 or did not indicate age at wave 2</li> <li>B_Filter_Age2 – selects participants who indicated age between 14-30 at wave 2</li> </ul> <p>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).</p> <p>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”).</p>
CATCH-EyoU: Processes in Youth's Construction of Active EU Citizenship: Cross-national Longitudinal (Wave 1 and 2) Questionnaires
<p>Abstract</p> <p>WP7 was designed to address questions concerning young Europeans’ EU citizenship, in particular to shed light on factors relevant in processes of construction of citizenship and their joint workings by way of the quantitative analysis of questionnaire data provided by adolescents and young adults in various situations of life across eight EU countries representing variations in, e.g., their economic situation/crisis, political conditions, and their history as EU member state.</p> <p>In the overall design of CATCH-EyoU, WP7 figures as a major link building on the initial theoretical work of WP2 by providing information that speaks to the assumptions based on the literature reviewed and the conceptual ideas developed at that point. Moreover, WP7 draws on results yielded by other work packages as far as available at a given stage of WP7 progress feeding into the construction of questionnaires, hypotheses to be tested, and interpretation of findings, respectively. The goal is to, in turn, contribute to an evidence-based finalization of WP2 conceptual efforts meant to integrate the empirical contributions of the different strands of CATCH-EyoU.</p> <p>At the core of WP7 is a longitudinal assessment using a two wave questionnaire data including a large sample of young people in all countries of the Consortium. After piloting instruments, the first wave of data collection took place in winter 2016/17. Questionnaires, details of the procedure, sample characteristics, and results of preliminary cross-sectional analyses were documented in D7.2 (Findings of wave1: A cross-national report. Noack, Macek 2017). A first set of substantive WP7 wave 1 findings have been presented in a special issue of the European Journal of Developmental Psychology (<a href="https://www.tandfonline.com/toc/pedp20/15/3">Volume 15, 2018 - Issue 3</a>; <a href="https://www.tandfonline.com/doi/full/10.1080/17405629.2017.1391087">Being both – A European and a national citizen? Comparing young people’s identification with Europe and their home country across eight European countrie</a>s. Landberg et.al 2017) as well as in various presentations addressing scientific and broader public audiences. The major reason for establishing a longitudinal data set is the study of processes of the development of major aspects of EU citizenship among youth which entails analyzing the influence of factors such as individual characteristics or conditions met in the family and in school on, e.g., young people’s identification with Europe and political participation. This implies to run analyses that capture the direction of effects as postulated on theoretical grounds which is not possible with a cross-sectional data set but requires sophisticated analyses of longitudinal data.</p> <p>The dataset contains more than 12600 questionnaires submitted to adolescents and young adults from Italy, Sweden, Germany, Greece, Portugal, Czech Republic, UK, and Estonia.</p> <p>The data can be reused by researchers who want to compare our data with similar data focusing on other aspects of attitudinal and identity development in youths. Likewise, stakeholders may be interested in reanalyzing our data particularly with a focus on descriptive survey-type information on the development of European citizenship in adolescence and early adulthood.</p> <p>File specifics</p> <p>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.</p> <p>Three general filter variables based on participants’ age are present in the dataset:</p> <ul> <li>Fltr_age1 – selects participants who indicated age between 14-30 at least in one wave (i.e. filters out all participants with unknown age)</li> <li>Fltr_age2 – selects participants who never indicated age beyond 14-30 (the age might be unknown)</li> <li>Fltr_age3 – selects participants who indicated age between 14-30 at least in one wave and never indicated age beyond 14-30</li> </ul> <p>The last filter variable is the strictest one (it combines the previous two) and it is recommended for use if it is essential that only people from the given age group are included in the analyses.</p> <p>Two additional filter variables based on participants’ age are provided for each wave (A_Filter_Age1, A_Filter_Age2, B_Filter_Age1, B_Filter_Age2). These filters can be used if data from wave 1 or wave 2 are analyzed separately.</p> <p>There are four general variables in the dataset: participants’ unique identification code (ID), country of data collection (Country), participant’s attendance in the study (Attn; indicating his or her participation in wave 1 only, wave 2 only, or both waves), 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).</p> <p>Names of variables from wave 1 start with letter “A_”, while names of variables from wave 2 start with letter “B_”.</p> <p>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”).</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.