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6,170 results for “european”
Figs 7-12 in An unexpected discovery of a new subgenus and a species of Plusiocampa (Campodeidae, Diplura) alongside an overview of Central European subterranean campodeids
Figs 7-12. Plusiocampa (Pentachaetocampa) inopinata subgen. et sp. nov. 7–8. Metanotum. 7. Macrosetae la 1,2,3 and mp. 8. Detail of surface. 9. Cupuliform organ of last antennomere. 10. Sensillum of cupuliform organ. 11. Gouge sensilla. 12. Metathoracic leg. Scale bars in µm.
Figs 3–4 in An unexpected discovery of a new subgenus and a species of Plusiocampa (Campodeidae, Diplura) alongside an overview of Central European subterranean campodeids
Figs 3–4. Plusiocampa (Pentachaetocampa) inopinata subgen. et sp. nov., holotype, ♀. 3. Pro-, meso- and metanotum, left side. 4. Urotergites I–IX, left side. Scale bars = 0.2 mm.
Figs 1–2 in An unexpected discovery of a new subgenus and a species of Plusiocampa (Campodeidae, Diplura) alongside an overview of Central European subterranean campodeids
Figs 1–2. Plusiocampa (Pentachaetocampa) inopinata subgen. et sp. nov. 1. On a clay surface. 2. On the surface of a puddle from Schallsinger Höhle. Courtesy of Mirjam Widmer. Scale bars = 2 mm.
Data archive for Gott et al. 'Chronological age, biological age, and individual variation in the stress response in the European starling: A follow-up study'
<p>Data archive for Gott et al. 'Chronological age, biological age, and individual variation in the stress response in the European starling: A follow-up study'.</p> <p>Revised version of September 4 2018.</p> <p>Contains one data file and one R script to reproduce the analyses in the paper.</p>
Data archive for 'Cognitive bias in relation to developmental history and stress response in European starlings (Sturnus vulgaris)'
<p>Data files and R code for Gott et al. 'Cognitive bias in relation to developmental history and stress response in European starlings (Sturnus vulgaris)'.</p> <p>One .csv file gives the trial-by-trial data from the cognitive bias experiment. The other gives individual-level summary variables. Both are used by the R script.</p> <p>Uploaded 9th September 2018</p>
Tables and Figures complementing the European Union Summary Report on Antimicrobial Resistance in Zoonotic and Indicator Bacteria from Humans, Animals and Food in 2016
<p>All tables, figures and maps produced for the European Union Summary Report on Antimicrobial Resistance in Zoonotic and Indicator Bacteria from Humans, Animals and Food in 2016 are provided.</p>
Data archive for 'Developmental history, energetic state and choice impulsivity in European starlings, Sturnus vulgaris'
<p>Data and code for Dunn et al. 'Developmental history, energetic state and choice impulsivity in European starlings, Sturnus vulgaris'</p> <p> </p> <p>The r script allows you to carry out all the analyses reported in the paper. Data from the experiment reported in the paper are 'databybird.csv'.</p> <p>In the paper, we also compare the findings of the present experiment with findings from a study of risk preference in the same birds (Andrews et al. 2018), and two earlier studies of impulsivity in different birds (Bateson et al. 2015, Nettle et al. 2015) . For convenience, we have included the relevant data from those earlier studies here too, though those data are all already published in association with the primary paper on those experiments.</p> <p>This version has a revised R script which tweaked some of the analyses in response to peer review.</p>
European Market Place - FLEXICIENCY project
<p>The FLEXICIENCY project aims to demonstrate how, inside the European Union, the implementation of novel services dedicated to energy market can be boosted by the introduction of a Market Place that allows the exchange of data, services and tools among the operators. The video gives a general overview of the project and the potential benefits of its implementation.</p>
Data and R code used in Delory et al (2019) The exotic species Senecio inaequidens pays the price for arriving late in temperate European grassland communities
<p>This is the first release of the data and R code used in Delory et al (2019) The exotic species Senecio inaequidens pays the price for arriving late in temperate European grassland communities.</p>
European Photometer Network - Community Health
Results of the community health analysis of the European Photometer Network project (January 2016 - December 2018)
Tables and Figures complementing the European Union Summary Report on Antimicrobial Resistance in Zoonotic and Indicator Bacteria from Humans, Animals and Food in 2017
<p>All tables, figures and maps produced for the European Union Summary Report on Antimicrobial Resistance in Zoonotic and Indicator Bacteria from Humans, Animals and Food in 2017 are provided.</p>
List of European Security and Defence Policy / Common Security and Defence Policy Missions 1991-2017
<p>List of European Security and Defence Policy / Common Security and Defence Policy Missions 1991-2017</p>
Validated onshore and offshore time series for European countries (1979-2017)
<p>This repository comprises hourly time series representing the onshore and offshore wind capacity factors in every European country (EU-28 except the islands Malta and Cyprus plus Norway and Switzerland) from 1979 to 2017. The term capacity factor is defined as the ratio between the delivered power and the cumulative installed capacity. 3 letter codes (ISO-3166-3) are used to identify the countries.</p> <p>For every country, onshore wind time series are included. For some of the countries, offshore wind time series are also included. In both cases, the time series include data for the period 1979-2017. However, for every year, the installed capacity layout is kept fixed and corresponds to turbines running in 2015. By doing so the time series for different years represent the weather influenced on the wind generation and are not impacted by differences in installed capacities.</p> <p>To obtain onshore and offshore wind time series, wind velocity from Climate Forecast System Reanalysis (CFSR) dataset has been converted into electricity generation and aggregated at country level. The methodology was described in detail and validated for Denmark in <a href="https://www.sciencedirect.com/science/article/pii/S0360544215012815">Andresen <em>et al</em>., Energy 93 (2015)</a>. In the text annexed to the data files, a description of the data and parameters used to bias-correct the modelled time series for every European country is provided.</p> <p>The license for the AU REatlas wind time series dataset is: <a href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International (CC BY 4.0)</a></p> <p>When using this data please make sure you include the following citation:</p> <p><em>M. Victoria and Gorm B. Andresen, Validated onshore and offshore time series for European countries (1979-2017), RE-INVEST project (2019) </em></p> <p>More information can be requested from M. Victoria (<a href="mailto:mvp@eng.au.dk">mvp@eng.au.dk</a>) and Gorm B. Andresen (<a href="mailto:gba@eng.au.dk">gba@eng.au.dk</a>).</p> <p>These time series were generated in the framework of <a href="https://reinvestproject.eu/">RE-INVEST project</a>. A similar dataset comprising solar photovoltaic time series at national scale can be accessed through the zenodo repository <a href="https://zenodo.org/record/2613651#.XPZ00mNS8uU">10.5281/zenodo.1321809</a> and details can be found in <a href="https://onlinelibrary.wiley.com/doi/full/10.1002/pip.3126">Victoria and Andresen, Prog. In Phot.: Res and App. (2019) </a> </p> <p> </p> <p> </p>
Constructing a high-density linkage map to infer the genomic landscape of recombination rate variation in European Aspen (Populus tremula)
<p>Data sets and files for linkage map construction and for inferring recombination rate variation in <em>Populus tremula</em>. Associated scripts for analyses can be found at <a href="https://github.com/parkingvarsson/Recombination_rate_variation">https://github.com/parkingvarsson/Recombination_rate_variation</a> </p>
Opening of the 10th European Summer University in Digital Humanities "Culture & Technology"
<p>Welcoming by the Vice-Rector for Research and Young Scholars of the University of Leipzig, Prof. Dr. Erich Schröger.</p> <p>Handing over of the certificates to scholarship, fellowship and bursary winners by Elisabeth Burr et al.</p> <p>Introduction into the programme and philosophy of the European Summer University in Digital Humanities "Culture & Technology" by Elisabeth Burr</p>
SELIS platform for pan-European logistics applications datasets
<p>This publication comes as a result of the SELIS H2020 project (<a href="http://www.selisproject.eu">http://www.selisproject.eu</a>). The provided datasets are anonymized samples of the real data which describe some of the use cases we have encountered.</p> <p>In the interest of the Open Research Data Pilot, this publication (<a href="https://github.com/selisproject/selis-node-connectors">https://github.com/selisproject/selis-node-connectors</a>) provides a basic implementation of connectors used in real world applications for supply chain participants to connect and funnel their data to the SELIS Community Node (SCN). The prototype of the SELIS big data analytics and machine learning infrastructure is also openly available (<a href="https://github.com/selisproject/bda">https://github.com/selisproject/bda</a>).</p> <p>Along with the connectors, obfuscated/test data is also provided for each solution. The connectors all follow the same approach, which is parsing the data provided, transforming them into a SCN-compatible data exchange model and publishing them to the SCN under a specific configuration. The samples provided cover two use cases:</p> <p><strong>Adria Kombi Data set: </strong>This anonymized data set which includes 24 csv files describes a use case developed for the SELIS project. It involves the (as accurate as possible) estimation of time of arrival (ETA) for individual freight trains using historical data and live feeds.</p> <p><strong>SONAE Data set: </strong>This anonymized data set which includes 2 csv files describes a different use case developed for the same project. This specific use case involves the automatic generation of suggested order forecasts for a retailer (SONAE) given stock level data from different warehouses and information such as lead time (minimum time required from order till delivery) per product and supplier, delivery days etc.</p> <p> </p> <p><em>For a more detailed description of the data please refer to the README.md files included in the downloadable zipped directories.</em></p> <p> </p> <p> </p>
PERCEIVE The use of social media in EU policy communication and implications for the emergence of a European public sphere
<p>This data set contains the underlying data of the paper “<strong>The use of social media in EU policy communication and implications for the emergence of a European public sphere</strong>”, published by The Journal of Regional Research - Investigaciones Regionales (ISSN: 1695-7253; E-ISSN: 2340-2717) in 2019.</p> <p>Data openly available within this dataset are a subset of the two following data sets, which contains all the relevant data of Work Package 3 and Work Package 5 of PERCEIVE project:</p> <ul> <li>Data set:<strong> “PERCEIVE: WP3: Effectiveness of communication strategies of EU projects” </strong><a href="https://doi.org/10.5281/zenodo.3371133">https://doi.org/10.5281/zenodo.3371133</a></li> <li>Data set:<strong> “PERCEIVE: WP5: The multiplicity of shared meanings of EU and Cohesion Regional and Urban Policy at different discursive levels” </strong><a href="https://doi.org/10.5281/zenodo.3371174">https://doi.org/10.5281/zenodo.3371174</a></li> </ul> <p>For the paper we collected Facebook posts referred to EU CP policies. We don’t have the permission to share these data (as they are protected by copyright), but all the sources are described in Deliverable 5.2, which is public (see <a href="http://doi.org/10.6092/unibo/amsacta/5726">http://doi.org/10.6092/unibo/amsacta/5726</a> or <a href="http://doi.org/10.5281/zenodo.1318184">http://doi.org/10.5281/zenodo.1318184</a>). We analyzed the textual content of data to construct a database of discursive topics in Task5.4. Data set includes the results of topic modeling and of a sentiment analysis performed on the Facebook homepages of Local Management Authorities (LMA) of PERCEIVE case study regions. </p>
Data from: Spatial configuration matters when removing windfelled trees to manage bark beetle disturbances in Central European forest landscapes
<p>The published dataset contains the result of the paper titled <strong>Spatial configuration matters when removing windfelled trees to manage bark beetle disturbances in Central European forest landscapes, in Journal of Environmental Management.</strong></p> <p>Two zip files contain maps in ascii format for the total bark beetle and wind damage over 54 simulation year in our study region in Slovakia under reference climate and different climate change scenarios. No- salvaging and 95% salvaging scenarios are shown, just as in the paper.</p> <p>Excel file contains data of the other figures in the paper (main text and appendices as well).</p> <p>See more details about target area, and iLand model:</p> <p>https://www.sciencedirect.com/science/article/pii/S0168192318302946</p> <p>http://iland.boku.ac.at/startpage</p> <p>contact: Laura Dobor; dobor.laura@gmail.com</p> <p> </p>
Tutorial Weather Data Cutouts for PyPSA-Eur: An Open Optimisation Model of the European Transmission System
<p><strong>PyPSA-Eur</strong> is an open model dataset of the European power system at the transmission network level that covers the full ENTSO-E area. It can be built using the code provided at <a href="https://github.com/PyPSA/PyPSA-eur">https://github.com/PyPSA/PyPSA-eur</a>.</p> <p><strong>It contains</strong> alternating current lines at and above 220 kV voltage level and all high voltage direct current lines, substations, an open database of conventional power plants, time series for electrical demand and variable renewable generator availability, and geographic potentials for the expansion of wind and solar power.</p> <p><strong>Not all data dependencies</strong> are shipped with the <a href="https://github.com/PyPSA/PyPSA-eur">code repository</a>, since git is not suited for handling large changing files. Instead we provide separate <strong>data bundles and cutouts</strong> to be downloaded and extracted as noted in the <a href="https://pypsa-eur.readthedocs.io/en/latest/installation.html">documentation</a>.</p> <p>The provided lightweight <strong>cutouts </strong>are spatiotemporal subsets of the German weather data from the <a href="https://software.ecmwf.int/wiki/display/CKB/ERA5+data+documentation">ECMWF ERA5</a> reanalysis dataset for March 2013 to be used for the <a href="https://pypsa-eur.readthedocs.io/en/latest/tutorial.html">PyPSA-Eur tutorial</a>. They have been prepared by and are for use with the <a href="https://github.com/PyPSA/atlite">atlite</a> tool (<a href="https://atlite.readthedocs.io/">https://atlite.readthedocs.io/</a>).</p> <p><strong>ECMWF ERA5</strong></p> <ul> <li><strong>Source: </strong><a href="https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=overview">https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=overview</a></li> <li><strong>Terms of Use: </strong><a href="https://cds.climate.copernicus.eu/api/v2/terms/static/20180314_Copernicus_License_V1.1.pdf">https://cds.climate.copernicus.eu/api/v2/terms/static/20180314_Copernicus_License_V1.1.pdf</a></li> </ul>
Dataset for "Validation of a Prognostic Staging for Metastatic Uveal Melanoma: A Collaborative Study of the European Ophthalmic Oncology Group"
<p>Raw data corresponding to the paper entitled: "<strong>Validation of a Prognostic Staging for Metastatic Uveal Melanoma: A Collaborative Study of the European Ophthalmic Oncology Group</strong><strong>" </strong>published in <em>Am. J. Ophthalmol.</em> 2016 Aug;168:217-226 by Kivelä <em>et al.</em></p>
ScienceDex guides
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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.